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Are these Florida Precinct Reports a smoking gun or not?

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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Wed Apr-06-05 11:08 AM
Original message
Are these Florida Precinct Reports a smoking gun or not?
Edited on Wed Apr-06-05 12:04 PM by adolfo
Has anyone here looked into the odd instances of precincts that share the same ratio of votes with their neighbor? Are there other states that display the odd results?

I stumbled upon these numbers while examining precinct reports a while ago. Here is the list compiled so far:

http://www.recountflorida.com/ivrs_county.php

------------------------------------------------------------------------------------------------------

==listed by: 1.)precinct - 2.)Kerry vote total - 3.)ratio of registered Democrats in precinct - 4.)Bush vote total - 5.)ratio of registered Republicans in precinct))==


BAY COUNTY

PCT 28 - WESTSIDE MENS CLUB 167 (19.6%) 584 (44.4%)
PCT 29 - GRACE PRESBY. 198 (19.6%) 672 (52.3%)

BAKER COUNTY

4C 92 (13.3%) 411 (131.3%)
4D 68 (13.3%) 360 (159.3%)

BREVARD COUNTY

65 Holy Name of Jesus Catholic Church 517 (74.8%) 644 (63.9%)
66 First Christian Church of Merritt Isla 577 (62.0%) 1154 (63.9%)

DADE COUNTY

143 FIRST CHURCH OF NORTH MIAMI 1200 NE 135 ST 627 (69.8%) 124 (74.7%)
144 FIRST CHURCH OF NORTH MIAMI 1200 NE 135 ST 236 (69.8%) 83 (98.8%)

777 MIAMI ELK'S LODGE #948 10301 SW 72 ST 126 (75.0%) 190 (65.5%)
778 MIAMI ELK'S LODGE #948 10301 SW 72 ST 6 (75.0%) 21 (60.0%)

429 IGLESIA ADVENTISTA EBENEZER 6566 SW 33 ST 219 (61.9%) 392 (58.0%)
430 IGLESIA ADVENTISTA EBENEZER 6566 SW 33 ST 267 (71.8%) 598 (58.0%)

HERNANDO COUNTY

36 - Hillside CC 258 (50.3%) 264 (67.5%)
37 - Ridge Manor W Club House 281 (50.3%) 408 (69.7%)

HILLSBOROUGH COUNTY

519 438 (61.6%) 624 (80.6%)
520 688 (61.6%) 939 (77.5%)

119 506 (48.6%) 861 (77.2%)
121 654 (66.1%) 754 (77.2%)

433 175 (81.8%) 288 (74.4%)
434 466 (65.6%) 660 (74.4%)

658 141 (95.3%) 113 (76.4%)
659 451 (62.6%) 541 (76.4%)

PASCO COUNTY

26 - ARIPEKA 201 (71.3%) 174 (73.1%)
27 - SHADY HILLS 559 (50.6%) 732 (73.1%)

POLK COUNTY

412 1214 (60.6%) 793 (82.6%)
413 479 (51.5%) 618 (82.6%)

ST JOHNS COUNTY

302 - Robert Ensslin Armory 296 (49.8%) 614 (59.2%)
303 - Memorial Lutheran Church 226 (44.1%) 427 (59.2%)

----------------------------------------------------------------------------------------------

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Mr Rabble Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 11:29 AM
Response to Original message
1. how people still argue
about this is beyond me.

We were ripped off. All of us. Every single voter in 2004 did not get what they all wanted- a fair election.

This is yet more evidence.
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Wed Apr-06-05 11:39 AM
Response to Original message
2. Well...I'd imagine the chances of that happening randomly...
is about the same chance that Bush actually won any election fairly.

At first I was gonna say numbers will repeat...untill I saw they were neighboring precincts (as you described, but I didn't pick up on).
That's just ludicrous
Nice find.
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On the Road Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 11:42 AM
Response to Original message
3. I Can't Seem to Find Them on the Site
It would depend on how many precincts were involved.

What would the theory be behind why they were identical? Are they identical below the fist decimal place? Is there any pattern on which precincts are matching?

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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Wed Apr-06-05 12:27 PM
Response to Reply #3
4. Use the drop down list to list the county
Bay has 59 precincts with 1 instance (twin)
Baker has 9 precincts with 1 instance
Brevard has 221 precincts with 1 instance
Dade has 872 precincts with 3 instances
Hernando has 56 precincts with 1 instance
Hillsborough has 360 precincts with 4 instances
Pasco has 172 precincts with 1 instance
Polk has 161 precincts with 1 instance
St Johns has 68 precincts with 1 instance

I'm open to any suggestions. My theory is based on automatic and electronic manipulation of votes. The most likely method is through code that changes votes under a defined set of instructions (ex: hash code).
If an established pattern is discovered within the election results I think it can prove manipulation.

I'm not sure if they are identical below the first decimal place. The numbers are calculated automatically by a script and rounded.

Some precincts share the same or similar names. Perhaps it is a variable for the hash code when changing votes OR just pure coincidence. What is your opinion?
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 12:40 PM
Response to Reply #4
5. The percentages that match are
Edited on Wed Apr-06-05 12:42 PM by qwghlmian
the percentages of registered republicans that voted or registered democrats that voted in the precincts, right? Why would you think that suspicious and how does it affect the vote results?
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Wed Apr-06-05 12:51 PM
Response to Reply #5
6. Just a thought
I'd surmise it would be the same reason lots of people were duped into changing their party affiliation to Republican.
Also the same reason voter registrations were also changed to Repub's from Dems.
Also the same reason people who just passed the citizenship tests were given a voter registration that already had the repub check box selected.

All those examples fall into the same catagory....they seem to not effect the election outcome, but none-the-less were done anyway.
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 01:02 PM
Response to Reply #6
7. Let's analyze this -
there are 1900 or so precincts and there are 14 instances of the match. Since the match could be on one or the other side of the isle (R or D), that makes it 14 out of 3800 possible combinations that matched. That means that it happened in 1 out of 271 cases.

Since the percentages are reported in 1/100s, that would mean that if the average difference in the registrations between adjoining precincts was in the 5-7% range, it is quite feasible that this many adjoining precincts' percentages would match. Since adjoining precincts usually have similar demographics, it is not a big stretch that their variation would be in that range.
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Wed Apr-06-05 01:09 PM
Response to Reply #7
8. Sure
I was answering this...
"Why would you think that suspicious and how does it affect the vote results?"
Did you really want an answer, or did I misread it?

But since you want to run through the chances of this (which I'm not qualified to do), my first thought would be to find out how many other precincts in Bay county (lets take the first example) also had a 19.6 Dem registration percentage.
Sound fair?
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 01:15 PM
Response to Reply #8
9. I did want an answer and I didn't get it
you admitted that it does not affect the vote results, which was half the question, but you still did not say why you found it suspicious. In the analysis I gave I explained why I don't find it suspicious, and that it is mathematically quite likely to happen.

You're welcome to go and find out how many other precincts also had a 19.6 D registration percentage, but I would assume that because of geographic closeness, the percentages would be more similar in adjoining precincts than in others.

Also note: the percentages shown appear to be percentages of registered D (or R) voters who voted for Kerry (or Bush, respectively) in these elections, not the percentage of registered D voters out of total voting public.
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Wed Apr-06-05 01:29 PM
Response to Reply #9
13. Here it is
I did not admit that it does not affect the vote results..
"they seem to not effect the election outcome"

What they do, is make these numbers...
37 37 26
more believable.
Which makes theses numbers...
48 51
More believable.
(for those who don't know, the first 3 numbers are for party affiliation on the exit poll. the next two numbers are the final election results)


You do not agree that my test is fair...understood.
Then please, create your own test that would check the probability of these numbers.
Just do it without examining the results first, as I did.
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 01:42 PM
Response to Reply #13
21. I really do not see how
the matches in the % of registered party voters voting for that party's candidate in adjoining precincts has anything at all to do with the national exit poll's party affiliation numbers or the election outcome. You would have to explain the connection.
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:00 PM
Response to Reply #21
24. Not a problem
OK...in the first set of three examples, I show how if part of the equation is altered, it makes the wrong total more believable.
(Bush can't win if he gets the same %'s as 2000, and loses Ind.s & new voters)

If these vote numbers (this thread) were altered, some of the parts would likely be altered to obscure the contradiction.

If machine/program glitch was responsible for the repeated numbers, it would certainly indicate something changing the results.

(I'm still looking for a test of these numbers, I'm not totally entrenched on this yet.)
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 01:19 PM
Response to Reply #7
10. Once again, qwghlmian, you go are off in left field.
Edited on Wed Apr-06-05 01:39 PM by TruthIsAll
Your analysis MISSES THE POINT. ONCE AGAIN.

The issue is NOT the number of precincts which have identical results compared to the total, although THAT is a legitimate RED FLAG IN AND OF ITSELF.

THE ISSUE YOU SHOULD BUT DO NOT ADDRESS, is the FACT that the precincts are ADJACENT to each other. The sequential precinct NUMBERS are THE SECOND RED FLAG.

This cannot be just a COINCIDENCE.

But of course you will probably claim that it is just that:
ANOTHER COINCIDENCE, AND OF COURSE NOT A CONSPIRACY. THAT IS OUT OF THE QUESTION.

YOU HAVE THIS HABIT OF CHANGING (OR MISSING) THE CORE THRUST OF THE ANALYSIS. ARE YOU JUST BEING CARELESS OR IS IT BY DESIGN?
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 01:21 PM
Response to Reply #10
11. Read what I wrote -
in my analysis I took into account the fact that they are adjacent. You're the big "mathematician" here, you should not make rookie mistakes like that.
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 01:35 PM
Response to Reply #11
16. You must account for two improbabilities - and you fail to do so.
Edited on Wed Apr-06-05 01:59 PM by TruthIsAll
1. The numerical vote match- What are the odds?
2. The adjacent precinct match - What are the odds?

WHAT ARE THE ODDS THAT BOTH, NOT JUST ONE, OF THE MATCHES WOULD OCCUR.

IN OTHER WORDS, WHAT IS THE JOINT PROBABILITY?
GIVEN EVENT #1, WHAT IS THE PROBABILITY OF EVENT #2?
AND VICE VERSA.

WOULD YOU FIGURE THAT OUT FOR US?
JUST THE PROBABILITIES, PLEASE.

YOU KNOW, BETWEEN 0-100%.

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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Wed Apr-06-05 01:38 PM
Response to Reply #16
18. Deleted message
Message removed by moderator. Click here to review the message board rules.
 
TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 01:42 PM
Response to Reply #18
20. THE ADJACENT PRECINCT NUMBERS. HOW DO YOU EXPLAIN IT?
Edited on Wed Apr-06-05 01:44 PM by TruthIsAll
WHY DOES THE VOTE MATCH ONLY WHERE THE PRECINCTS ARE ADJACENT?
ANSWER THAT ONE.

I never embarrass myself.

You ALWAYS do.
Just like yesterday.
Just like today.

And you keep coming back for more.
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Wed Apr-06-05 01:45 PM
Response to Reply #20
22. Deleted message
Message removed by moderator. Click here to review the message board rules.
 
TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 02:09 PM
Response to Reply #22
28. FEELING SMART RIGHT NOW? JUST CALCULATE THIS FOR US.
Edited on Wed Apr-06-05 02:34 PM by TruthIsAll
ASSUME N=1000 PRECINCTS.

ASSUME THAT 20 UNIQUE PRECINCT PAIRS (40 PRECINCTS) HAVE IDENTICAL PERCENTAGES (WITHIN ONE TENTH OF ONE PERCENT)

THAT IS A DIFFERENCE OF 1 OUT OF A THOUSAND, NOT 1 OUT OF A HUNDRED AS YOU ERRONEOUSLY CLAIM.

WHAT ARE THE ODDS THAT FOR EACH OF THE 20 PAIRS, THE PRECINCT-ID NUMBERS WOULD BE ADJACENT TO EACH OTHER?

CAN YOU ANSWER THAT ONE, SMART GUY?


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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:12 PM
Response to Reply #28
30. Deleted message
Message removed by moderator. Click here to review the message board rules.
 
TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 02:24 PM
Response to Reply #30
38. IS THAT YOUR ANSWER? COMPUTE THE PROBABILITY.
Edited on Wed Apr-06-05 02:32 PM by TruthIsAll
WHEN YOU ARE PUT UP AGAINST THE WALL AND CANNOT PROVIDE THE MATHEMATICAL SOLUTION, YOUR RESPONSE IS: "FIND FAULT IN MY ANALYSIS OR GO AWAY".

WELL,I HAVE FOUND FAULT IN YOUR ANALYSIS AND I WON'T GO AWAY.

VERY LAME RESPONSE.

I WON'T GO AWAY UNTIL YOU CALCULATE THE PROBABILITY. IF YOU CANNOT DO SO, THEN AT LEAST ADMIT THAT INTUITIVELY IT IS CLOSE TO ZERO.

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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:26 PM
Response to Reply #38
40. As I said -
You're trying to imply that ONLY adjacent precincts' percentages match. You have no idea whether that is true, and the original poster said nothing about that. So claiming it as fact is intellectually dishonest.
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 02:36 PM
Response to Reply #40
43. OH, I SEE YOU HAVE HIT A WALL. YOU ARE BACKTRACKING.
"You're trying to imply that ONLY adjacent precincts' percentages match. You have no idea whether that is true, and the original poster said nothing about that. So claiming it as fact is intellectually dishonest."

Those are the facts that are in evidence.
Now you want to amend them?

Calculate the probability for the data that is GIVEN.
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:39 PM
Response to Reply #43
45. What facts that are in evidence?
from the original posters' data I can show you non-adjacent precincts whose percentages match - thus demolishing your premise. You really are digging yourself deeper and deeper here, TIA.
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 02:53 PM
Response to Reply #45
49. Go ahead. Show me. Point it out. Oh, we are off by TWO.
Edited on Wed Apr-06-05 02:57 PM by TruthIsAll
Wow.

Oh, BTW, if others match, that would only ADD to the improbability.
Then we will have to calculate the next probability"

What are the chances that X of the total N precincts would match. regardless of Precinct location or ID.

It's a two-edged sword.

And you have not calculated the first one yet.
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 03:07 PM
Response to Reply #49
53. dupe delete
Edited on Wed Apr-06-05 03:09 PM by qwghlmian
dupe delete
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 03:08 PM
Response to Reply #49
54. You are getting ridiculous.
Edited on Wed Apr-06-05 03:08 PM by qwghlmian
http://www.recountflorida.com/ivrs_county.php

Baker County:

PCT 3 - CALVARY TEMPLE 194 (20.4%) 640 (69.7%)
PCT 25 - THE ROCK 227 (20.4%) 554 (44.8%)

PCT 23 - 1ST BAPT. OF LH 230 (22.8%) 497 (45.5%)
PCT 37 - GLENWOOD COMMUNITY 583 (42.6%) 76 (45.5%)

Brevard County

63 Apollo Elementary School 428 (46.8%) 896 (63.3%)
170 Palm Bay City Hall Council Chambers 37 (46.8%) 61 (54.0%)

36 North Brevard Senior Center Inc. 506 (48.6%) 725 (62.1%)
169 Presbyterian Church of the Good Sheph 195 (48.6%) 258 (72.7%)

etc. etc. I don't have time to look for more but I am sure there are dozens such.

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mgr Donating Member (616 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:23 PM
Response to Reply #28
37. Poisson or gravity model? n/t
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mgr Donating Member (616 posts) Send PM | Profile | Ignore Wed Apr-06-05 03:30 PM
Response to Reply #28
59. A little set theory problem (sixth grade math I believe)
Here is the problem, you have a set of precincts within which there are subsets that have identicle values. Assume the set of unions between all the subgroups is given and is finite--there are no more sets of adjacent precincts. What QH is describing is the probability of the union of members from the same subset with the set of the subsets unions--NOT HOW MANY PRECINCTS THERE ARE IN THE SET WITH IDENTICLE VALUES. One can extrapolate back to determine how many members there are of each subset. What TIA is positing is imagine that every member of the subset has a union with another member of the subset, which has highly unlikely odds.

Mike
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Wed Apr-06-05 05:15 PM
Response to Reply #59
72. Any chance you could come up with a number...
Edited on Wed Apr-06-05 05:16 PM by Chi
You seem to be somewhere between TIA and Q on this issue.
And you also seem very knowledgeable on the subject.
Any chance you could come up with a number for us
(I'd even take an educated guess).

Please please please please please.... 8) hehe

No problem if you don't have the time.

ON EDIT..did evryone else get locked out of the forums for an hour or so?
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mgr Donating Member (616 posts) Send PM | Profile | Ignore Thu Apr-07-05 11:24 AM
Response to Reply #72
124. Yeah, I could not get in.
What Q has said is dead on. What I was offering was an explanation of why you might see it with a higher frequency given that a person with like attitudes and values will locate near others with similar attitudes and values. This thread is not a smoking gun, had it been what I thought it was originally, and you quickly corrected me on it, would have been far less likely, and I would not expect to see show up with any frequency as reported.

Here is how you can think about it (you may already have it, but others?)-- you have a drawer of socks, most are blue, but a few are red. If the red socks are randomly distributed in the drawer, some should be apart, but some should touch. Statistically you could model it using a Poisson distribution, or just straight probability.

The second case, the spatial autocorrelation, would require the gravity model that basically assumes that one red sock would attract other red socks, pulling them into its orbit so to speak so the distribution is no longer random, but clustered (gee, where have I heard that term before?)

What TIA conceptualized is that all the red socks were touching, which is highly improbable, but what Q is talking about is some of the red socks touching, which is not improbable at all, but in fact highly likely.

As an off topic, this is how rarity in fossils has been reassessed. A fossil was often not detected because the total amount of fossils sampled was small, but when a large volume was sampled, these rare beasties were plentiful. S Jay Gould had a marvelous essay on this in I think in "Lying Stones of Marrakech."

Mike
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Thu Apr-07-05 12:40 PM
Response to Reply #124
135. Thank you Mike!
I really appreciate your response.
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 12:54 PM
Response to Reply #135
138. Chi, look at post # 132.
Edited on Thu Apr-07-05 12:56 PM by TruthIsAll
It's the matched pairs - 1900 of them are adjacent.

In the simulation I showed that we should only expect 6-8 adjacent precincts to be within 0.1% of each other in the vote/registration ratio.

But there were 14.

I calculated the probabilities.
Hope this clears it up.
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Thu Apr-07-05 01:12 PM
Response to Reply #138
139. :), yes, Chi, look at post #132
You will see an example of TIA refusing to understand something (the fact that for each pair there are two possibilities of a match, one R and one D) even after it is explained to him a dozen times by several people.
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Thu Apr-07-05 01:47 PM
Response to Reply #139
140. (Chi reaches for his stun gun).....
(he tags Q first, and Q lets go of his left leg, then hits TIA, and TIA lets go of his right leg)

(Chi Then squats down in between the 2 convulsing bodies and says).....
"listen, when you two get like this, it obscures the truth. It's about as useful as watching 'Crossfire' over and over again (aka purgatory)."

I think you both agreed there is no smoking gun here at a count of 14.
If adolfo finds more, we'll see.
As far as the numbers go...you have 8 matches in 1900 precincts.
Whether you count them as pairs, or not, is not in my area of expertise, so I ain't going there. 8)
But drop the 3800, it's doesn't seem accurate.

I meant no offense to either of you, I hope none was taken.
You both were in need of some major comic relief, I hope I made you at least smile.
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 02:34 PM
Response to Reply #140
143. Instead reach for my post # 141. Make it 3800. And the prob is still low
And...

If only 2 more match (to bring it from 14 to 16), the probability will drop to 1 in 1,989

If 6 more match (20), it will be 1 in 197,865.
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mgr Donating Member (616 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:10 PM
Response to Reply #22
29. Actually, I think those odds are lower
First off, what you are referring to is spatial autocorrelation in that adjacent precincts would shown similar demographic or any other statisical similarities. This is a well known statisical property.

Second, a precinct is a two dimensional object, (and arbitrarily delimits a population) the meets and joins of precincts are not binary, but octonary at the least (four sides, four corners). The odds decline to insignificant that any two adjacent precincts would share similar properties.

What should be alarming is when they do not.

Mike
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:16 PM
Response to Reply #29
33. I was going by the original poster's findings
which were using one-dimensional (sequential numbers) adjacency criterium.
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mgr Donating Member (616 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:21 PM
Response to Reply #33
35. This is why I keep saying map the data
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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Wed Apr-06-05 01:26 PM
Response to Reply #5
12. Short explanation (tinfoil hat back on)
What makes this even more unique is the fact that the numbers are based on the amount of registered Reps/Dems for the political candidate. It has nothing to do with how anyone voted.

If you find a reoccurring pattern there can only be two possible answers; is it random or not random?

Im seeking answers to the following questions,

1.) What are the chances of neighboring precincts containing the same ratio?

2.) What are the chances of neighboring precincts containing the same ratio AND sharing the same location name?

3.) Have the patterns occurred before in Florida?

4.) Do other states share similarities?

5.) What are the tabulators involved?

I think it is suspicious because if I were a hacker the results shown would be part of my signature (from a bad hash code).

Now, you can literally switch the totals so Bush gets Kerrys votes but what happens when Republicans are a minority in the precinct and receive 3 times more votes than Democrats?

Anyone with enough programming skill can write code to change numbers BUT in this case you will need to maintain a safe margin and make it appear random.

If you want to have your hacker code do it automatically it will need to know the amount of registered voters for the corresponding political party. Having this key information is the only way to remain under the radar.

This is just my theory; a malfunctioning machine is another possibility.


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abbiehoff Donating Member (356 posts) Send PM | Profile | Ignore Wed Apr-06-05 01:35 PM
Response to Reply #12
17. Although these are reported as precinct numbers,
is it possible that they are actually location numbers, and therefore the same for both precincts?
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:05 PM
Response to Reply #17
26. Very interesting possibility!!...
Edited on Wed Apr-06-05 02:10 PM by Chi
Heya abbiehoff
Kinda like the equally divided provisional (or was it absentee) ballots in Ohio.

ON EDIT...
Actually that doesn't work cause the Rep numbers are different, they would be the same under that scenario, I think.
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 01:40 PM
Response to Reply #12
19. read my analysis of your findings
you will find that it is quite likely that in 1 out of 271 pairs of adjacent precincts such a match would occur.
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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:03 PM
Response to Reply #19
25. Thanks
Thanks for your opinion. IF these numbers are normal, then other states should have the same results regardless of voting machine/tabulator.

I think it is worth looking into further.
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:08 PM
Response to Reply #25
27. Yes, if it is, other states should have similar results
if you can find the same data on them (it is a little strange to report % of registered party voters vs all voters for that party's candidate, and I haven't really seen such reports per precinct in states other than Florida).
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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:34 PM
Response to Reply #27
41. Basic math
The data was gathered from precinct reports and voter statistics. These are customized reports comparing both. It was not an easy task getting the information.
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:38 PM
Response to Reply #41
44. See my corrected analysis -
as I showed, it is almost 100% probability that 14 adjacent precincts out of 1900 or so would match based on feasible assumptions, or, if there is no spatial autocorrelation in adjacent precincts whatsoever, and the data is actually random, the probability drops to 25% or so.
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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Wed Apr-06-05 03:31 PM
Response to Reply #4
60. Correction
>>Dade has 872 precincts with 3 instances

Correction: Dade has 765 precincts with 3 instances.

There are 107 precincts that shouldn't be considered since they are only Absentees.
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brindis_desala Donating Member (866 posts) Send PM | Profile | Ignore Wed Apr-06-05 01:33 PM
Response to Original message
14. If memory serves a DUer found similar "twins" in OHIO.
At any rate this is not the first time this "coincidence" has been noted. I'd send these to Melissa B she probably knows the thread.
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mgr Donating Member (616 posts) Send PM | Profile | Ignore Wed Apr-06-05 01:53 PM
Response to Reply #14
23. Mean one voting station serving two precincts?
This would explain the adjacent precincts, once you filter these how many are left?

Mike
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:12 PM
Response to Reply #23
31. Repub numbers don't match....
Heya Mike
which, I would think, would throw that scenario out the window.
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mgr Donating Member (616 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:15 PM
Response to Reply #31
32. You're right
I don't recall the particular thread, thought it might be Coyote's or the like.

Mike
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:26 PM
Response to Reply #14
39. If memory serves me right
Heya brindis_desala
The twins were 'officially explained' as dividing the provisional (might have been absentee) ballots among precincts in the same voting location.
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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Wed Apr-06-05 03:01 PM
Response to Reply #39
52. Possible
Provisional and Absentee votes are accounted for under a separate dedicated "precinct".

Even if they did divide and counted everything together this would not explain the matching ratios. It would require dividing and *sorting* the ballots by Candidate to accomplish these numbers.
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Wed Apr-06-05 03:10 PM
Response to Reply #52
55. Actually 8)
Heya adolfo
I was responding to post 14.
They were trying to remember some similar matching numbers in Ohio's results.
I wasn't referring to yours.

But I'm glad you already know how they applied the provisionals and absentees, that eliminates more possibilities.
Good to know, thanx.
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On the Road Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 01:33 PM
Response to Original message
15. It's Taking Me Awhile to Understand What is Being Suspected
I mean, these are not vote totals. Does it suggest some specific kind of fraud?

Some of the adjacent precincts list the same street address (eg, Dade County). It's possible that they did not keep separate records by precinct, but were required to report separately. So what do they do? They just divide each party proportionately, resulting in the same number.

I do a certain amount of reporting and have often been questioned about two dissimilar numbers that appear identical. Occasionally, it's a data error. More often, they're simply different numbers that are the same value.

In a set of data this big, the examples you cited don't seem to be especially incriminating. But if you are working on a specific explanation, it may be worth going into further.
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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:20 PM
Response to Reply #15
34. Established Patterns can be a sign of manipulation
These are vote totals for each precinct. Absentees are excluded .

>>So what do they do? They just divide each party proportionately, resulting in the same number.

I'm still wondering about that. ;)

If it is a data error then it is a certified data error. Everything was ripped from the Election Supervisor's web site(s).

Please check out the previous post for my theory. I'd like to hear other possible explanations.
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On the Road Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 02:48 PM
Response to Reply #34
48. That's What is Suggested to Me
That the votes were combined and artificially divided. In that infamous county in Ohio, votes were disallowed if they were made in the wrong precinct, even if it was within the same building. Perhaps in Florida, they just aggregated the data and estimated how it would be divided up.

Offhand, I don't see a big problem with that. It doesn't look like enough on its own to make any accusations. But if it's combined with some other anomalies...
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Iceburg Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 02:22 PM
Response to Original message
36. You need to clarify a few points...
1. By "neighbour" do you mean precincts sharing/co-located at the same polling/vote address? Or do you mean that their designated precinct numbers are adjacent? (Which is no guarantee that they a) are near each other on the map or b)vote at the same address. One can only say the precincts are in the same county.

2. By "ratio of registered Democrats in precinct", I assume you mean the number of Democrat votes awarded divided by the number of registered democrat voters in that precinct. If so, I'd be looking at counties such as Bay and Baker that show only a mere 19% and 13% of the registered democrats voting for they're own party. Looks like a lot of in-the-heart-repubs are registering as dems.

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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:40 PM
Response to Reply #36
46. Clarified
1. .. designated precinct numbers are adjacent.

2. Correct

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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:35 PM
Response to Original message
42. Corrected analysis
(since the rounding is done to 1/10th of percent and not 1/100th as I assumed in the original)

There are 1900 or so precincts and there are 14 instances of the match. Since the match could be on one or the other side of the isle (R or D), that makes it 14 out of 3800 possible combinations of adjacent precincts that matched. That means that it happened in 1 out of 271 cases of adjacent precincts.

Since the percentages are reported in 1/10th, that would mean that if the average difference in the registrations between adjacent precincts was in the 27% range, it is almost 100% probability that this many adjacent precincts' percentages would match. Since adjacent precincts usually have similar demographics, it is not a big stretch that their variation would be in that range.

Even if the difference in percentages between adjacent precincts is all over the map, the probability of 14 out of 2000 adjacent precinct pairs matching is around 25%.
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 02:47 PM
Response to Reply #42
47. "Around" 25%? Where is the calculation? Be specific.
Edited on Wed Apr-06-05 02:52 PM by TruthIsAll
You say that the probability that at least 14 out of 2000 adjacent precincts would match to within 0.1% is 25%?

Prove it with a probability function, as mgr has suggested:
Poisson or Normal or Binomial? Take your pick. But just don't start throwing numbers around.

In every probability calculation that I have ever used at DU, I have presented the function AND the data. No pulling numbers out of a hat.
Some disagreed on parameter input (StdDev), but never the on the choice of the particular probability function.

Now why can't you do the same?

Maybe its because you don't have a clue as to when and how these functions are used.


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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 02:55 PM
Response to Reply #47
50. It's simple probabilities TIA
something you claim to know.

14 out of 2000 precinct pairs (with a match on either R or D side) makes for 2000*2/14 - 286 pairs for each match.

Let's take a completely random distribution of percentages among precincts (which would lower the probability of the match). That means that for each pair the chances of match within 0.1% are 1/(100*10) = 1 in a thousand. The chances for one out of 286 pairs matching are 286/1000 or 28.6%.

If you take into account the fact that adjacent precinct's similarities should cause the percentages to be closer and not randomly distributed, the probability should be much higher than 28.6%.

This is high school stuff. You claim to be an expert - yet this seems to be beyond you. Amazing.
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 03:42 PM
Response to Reply #50
61. IT'S TIME FOR YOU TO GIVE UP THE GHOST. HERE ARE THE REAL PROBABILITIES
Edited on Wed Apr-06-05 03:49 PM by TruthIsAll
Are you ready for the knockout blow?

Assume 1000 precincts:

Then there are 1000 unique adjacent pairs
1-2
2-3
3-4
4-5
.
.
.
999-1000

The probability that an adjacent pair would match within 0.01%
is 1 in a thousand or .001.

For instance, assume precinct 7 is 51.50%:
What is the probability of a match to precinct 6 or precinct 8
within .01% ( 51.49-51.51%)? 

It's .001  + .001 = .002

Now what is the probability, that at least N out of 1000
precincts would match with one of their neighbors?

Use the BINOMIAL PROBABILITY FUNCTION:
= 1 - BINOMDIST(N-1,1000,0.002,TRUE)		

The odds that at least 14 pair wouid match within .01% is 1 in
35 million.

The odds that at least 20 pair wouid match within .01% is 1 in
17.5 TRILLION...

n	Prob	or 1 in
1	8.65E-01	1
2	5.94E-01	2
3	3.23E-01	3
4	1.43E-01	7
5	5.25E-02	19
6	1.65E-02	61
7	4.49E-03	223
8	1.08E-03	926
9	2.32E-04	4,304
10	4.52E-05	22,136
11	8.01E-06	124,893
12	1.30E-06	767,327
13	1.96E-07	5,101,224

14	2.74E-08	36,495,560

15	3.58E-09	279,641,854
16	4.38E-10	2,285,263,498
17	5.04E-11	19,843,492,251
18	5.48E-12	182,435,373,385
19	5.66E-13	1,766,463,866,394

20	5.70E-14	17,557,893,284,096
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Wed Apr-06-05 03:47 PM
Response to Reply #61
63. Deleted message
Message removed by moderator. Click here to review the message board rules.
 
TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 03:50 PM
Response to Reply #63
64. Prove that I am wrong.
.
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 03:51 PM
Response to Reply #64
67. See post #50. I showed you that you're wrong.
It's ridiculous. Your post is like saying "2+2=5. Prove that I'm wrong".
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 03:55 PM
Response to Reply #67
70. No, you showed DU why anything you say from here on is of no consequence
Prove my calcualtion is wrong.
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 03:51 PM
Response to Reply #63
68. LOL
.
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Wed Apr-06-05 03:00 PM
Response to Reply #42
51. I think your oversimplifying
Sorry, not chasing you.
But I think your oversimplifying.
These precincts are not only adjacent (I would assume that the average precinct is adjacent to 4 other precincts), they are sequential.
Which, I would imagine, would throw a whole new set of multipliers at it.
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Wed Apr-06-05 03:11 PM
Response to Reply #51
56. Deleted message
Message removed by moderator. Click here to review the message board rules.
 
Chi Donating Member (921 posts) Send PM | Profile | Ignore Wed Apr-06-05 03:19 PM
Response to Reply #56
57. Please don't do that.
I think I have been polite and respectful to you.
I'd appreciate not using me in your other 'discussions'.


Are you saying the chances for adjacent precints to match,
are the same as adjacent AND sequential to match?
.....cause that was my point.

And I don't see where you considered that in post 50.
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 03:29 PM
Response to Reply #57
58. First of all, I would presume that they are numbered
First of all, I would presume that they are numbered sequentially according to some geographic principle - like left to right, up to down on the map, so for two adjacent precincts to be sequentially numbered would not be exceptional at all, and in fact likely.

Second, how do you know they *are*, in fact, adjacent? The original poster just did the research on sequentially numbered precincts, and said nothing about their relative geographical locations.
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Wed Apr-06-05 03:45 PM
Response to Reply #58
62. Agreed, kinda
I would also assume they are numbered to geographical area, hence every sequentially numbered precinct is likely to be adjacent to the previous number.
But...It would also have 2-3 other precincts that it is adjacent to that is not in sequential order with.
Therefore the probabilities of sequential precincts being identical must be lower.


In one of the posts here, adolfo (original poster) said they were adjacent, at least thats what I remember.
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 03:50 PM
Response to Reply #62
65. As I showed, it really does not matter if sequentially
numbered precincts are physically adjacent or not. If the percentages distribution is totally random, the probability is still 28% that 14 sequential pairs out of 2000 precincts would match up to 0.1%. If there is any similarity at all between sequentially numbered precincts, that probability will become higher.
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Wed Apr-06-05 05:44 PM
Response to Reply #65
73. Disagree
Since each precinct has (on average) 4 precincts adjacent to it, and only 2 precincts on either side sequentially,
the odds of identical precincts matching sequentially must be lower.
The odds can not be the same!

I'll bow out to the people who are experts at statistics.
You might want to read Mike's post 28.
It should make it clearer where you oversimplified in other areas as well.

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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 05:54 PM
Response to Reply #73
74. They are not the same - they *are* lower -
but what I mean by "doesn't matter" is that 28% and 59% and 75% are all "feasible" probabilities, so it doesn't matter which one it is.
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Wed Apr-06-05 06:10 PM
Response to Reply #74
75. OK
Then I misunderstood what you were saying when you said it doesn't matter.
Your saying it's negligible, not that it's the same.
No problem....

But thats still leaves you with the other, bigger problem.
If I understand the problem correctly...let me use an example.

If 2000 people lined up single file, and were told to pick a number between 120 and 1000.
Do you think even a 10% chance of two people (next to each other) picking the same number?

I would think it would be near impossible, never mind for 14 (so far) of them to be the same.

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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 06:36 PM
Response to Reply #75
77. I don't think you understand how this works then...
If you have 2000 people, and each randomly picks a number from 120 to 1000, the chance of some two people NEXT to each other picking the same number is ~70%. If you're trying to approximate the original poster's case, it was 4000 (since either D or R percentage had to match), so the chance would be basically 100%.

Also, add to your example the fact that range of the numbers that have to match is not really 120 to 1000, but much tighter (from a quick look at the OP's data the range in the same county is 20 to 30%, so in your example the number would have to be from 0 to 300 or so) and the probabilities go up substantially - that 70% above becomes almost 100%.



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Chi Donating Member (921 posts) Send PM | Profile | Ignore Wed Apr-06-05 06:48 PM
Response to Reply #77
79. Well, I've certainly found our root problem 8)
I have openly admitted I am not an expert on statistics, so I'm not saying your wrong...
but I can not convince myself this is correct.
It just seems so wrong.

"If you have 2000 people, and each randomly picks a number from 120 to 1000, the chance of some two people NEXT to each other picking the same number is ~70%."
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Wed Apr-06-05 07:03 PM
Response to Reply #79
81. Deleted message
Message removed by moderator. Click here to review the message board rules.
 
TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 06:31 PM
Response to Reply #74
76. qwghlmian, where have you gone? I have something for you..
Using your own numbers, here is the probability calculation
using the Binomial Distribution function:

Probability of a Match =0.001
There are 1900 precincts
There are N = 14 of matches

Here is the probability that at least 14 out of 1900 match,
using the tried and true Excel function:

Prob = 1-BINOMDIST(13,1900,0.001,TRUE)	
or 1 in 66,118,909.

I have calculated the probabilties for 1 to 20 matches.

The more matches there are, the lower the probability that it
could be random. Makes sense, right?

Do you have a problem with this?

N	Prob	      Odds: 1 in 
1	0.850573498	1
2	0.56637895	2
3	0.296266114	3
4	0.125203664	8
5	0.043996089	23
6	0.013171352	76
7	0.003426128	292
8	0.000786709	1,271
9	0.000161531	6,191
10	2.99736E-05	33,363
11	5.07111E-06	197,196
12	7.88124E-07	1,268,835
13	1.13237E-07	8,831,049

14	1.51243E-08	66,118,909
		
15	1.88686E-09	529,981,837
16	2.20807E-10	4,528,832,015
17	2.43295E-11	41,102,300,595
18	2.53331E-12	394,740,961,291
19	2.5091E-13	3,985,486,395,903
20	2.4647E-14	40,572,969,615,950
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 06:42 PM
Response to Reply #76
78. Here - let's use your method, but try to be honest with the numbers.
1. It is not 1900. It is 3800 - because either D or R percentage has to match.

2. It is not 0.001 - it is between 0.003 and 0.005 because the range of numbers in those counties on R or D side is 20 to 30%, not the whole 100.

So the formula becomes:

100*(1-BINOMDIST(13,3800,0.003,TRUE)) = 25%

or

=100*(1-BINOMDIST(13,3800,0.005,TRUE)) = 90%

Take your pick. Either probability is plausible.
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Wed Apr-06-05 07:03 PM
Response to Reply #78
80. Ya know he's gonna say it when he comes back
So you might as well post your calcs out to 14 now ;-)
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Iceburg Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 08:10 PM
Response to Reply #78
82. I agree with you in principle about factoring in both D and Rs
Edited on Wed Apr-06-05 08:11 PM by Iceburg
and giving consideration to the range. But the range in the example is not well defined and does not fall neatly between 0.0% and 100.0 nor 20.0 to 30.0%

For example the poster lists:

BAKER COUNTY

4C 92 (13.3%) 411 (131.3%)
4D 68 (13.3%) 360 (159.3%)


ie. a rep registration ratio of 132.3% and 159.3%

Wouldn't a more precise range be required to perform a reliable calculation?
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 08:24 PM
Response to Reply #82
83. Take a big county - Dade or Brevard etc,
and go down the list and average the differences in the percentages from one precincg to the next sequential one (ignoring 0s). You will get 20% to 30% at most. It is not the total range that is important, it is the average range, sice that is what influences the probability, not the outliers.
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 08:41 PM
Response to Reply #78
85. You originally said prob (match) = 0.1% and 1900 precincts
Edited on Wed Apr-06-05 08:52 PM by TruthIsAll
Raising the probabilities to fit the result you want.
Amazing.

Did you also cheat in 5th grade?

Let's keep the probability at 1 in 1000, like you originally
had it.

Let's keep the 1900, like you originally had it.
That was some fancy footwork to double it from 1900 to 3800.

And let's figure the probabilities for a Dem Match and a Repub
match separately...

We get the same result, of course, for each (14 matches): 
1 in 66 million.

So now the probability that either Dem OR Repub match in at
least 14 precincts is 1 in 33 million.

Prob Dem Match:	0.001
1900	precincts	

N	Prob	Odds: 1 in 
1	0.850573498	1
2	0.56637895	2
3	0.296266114	3
4	0.125203664	8
5	0.043996089	23
6	0.013171352	76
7	0.003426128	292
8	0.000786709	1,271
9	0.000161531	6,191
10	2.99736E-05	33,363
11	5.07111E-06	197,196
12	7.88124E-07	1,268,835
13	1.13237E-07	8,831,049
		
	=1-BINOMDIST(13,1900,0.001,TRUE)	
14	1.51243E-08	66,118,909
		
15	1.88686E-09	529,981,837
16	2.20807E-10	4,528,832,015
17	2.43295E-11	41,102,300,595
18	2.53331E-12	394,740,961,291
19	2.5091E-13	3,985,486,395,903
20	2.4647E-14	40,572,969,615,950

 
  
Prob Repub Match:	0.001
1900	precincts	

N	Prob	Odds: 1 in 
1	0.850573498	1
2	0.56637895	2
3	0.296266114	3
4	0.125203664	8
5	0.043996089	23
6	0.013171352	76
7	0.003426128	292
8	0.000786709	1,271
9	0.000161531	6,191
10	2.99736E-05	33,363
11	5.07111E-06	197,196
12	7.88124E-07	1,268,835
13	1.13237E-07	8,831,049
		
	=1-BINOMDIST(13,1900,0.001,TRUE)	
14	1.51243E-08	66,118,909
		
15	1.88686E-09	529,981,837
16	2.20807E-10	4,528,832,015
17	2.43295E-11	41,102,300,595
18	2.53331E-12	394,740,961,291
19	2.5091E-13	3,985,486,395,903
20	2.4647E-14	40,572,969,615,950
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Wed Apr-06-05 08:50 PM
Response to Reply #85
86. Deleted message
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Wed Apr-06-05 08:59 PM
Response to Reply #86
88. Deleted message
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Wed Apr-06-05 09:17 PM
Response to Reply #88
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 10:17 PM
Response to Reply #89
93. Get over it. You lost and Bush lost. Go to post # 90.
Edited on Wed Apr-06-05 10:40 PM by TruthIsAll
You are the pathetic one.

I beat you two ways:

1) With the binomial probability function and
2) with 100 simulation trials of 1900 precincts

All you did was change the numbers to force your case by using...guess what? The Binomial function after I used it. Next time, use the correct inputs.You know that old saying: GIGO.

1) You went from 1900 to 3800 precincts.
2) You changed your proobability of a match from .001 to .05.

But it didn't work.
It never works for you, does it?


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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Wed Apr-06-05 03:50 PM
Response to Reply #58
66. Yes, sequential
Edited on Wed Apr-06-05 03:52 PM by adolfo
Unfortunately I don't have geographical information. A simple visit to the Florida SOE website or a call should suffice.
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Wed Apr-06-05 03:54 PM
Response to Reply #66
69. I stand corrected, and so does my memory.
Thanks adolfo.
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mgr Donating Member (616 posts) Send PM | Profile | Ignore Thu Apr-07-05 10:53 AM
Response to Reply #66
119. When you have all of it on a map PM me please.
My thing is spatial analysis.

Mike
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Iceburg Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 04:42 PM
Response to Reply #58
71. The poster clarified my question on this ....
they are only adjacent in numerical terms. The fact that the number 2 follows the number 1 is meaningless in the absence of other info. Yes its true there will be some geo-connection but it will be somewhat remote. Most (but not all) county precinct numbers follow a municipal/community/ward boundaries sort formula. The precincts are first sorted alphabetically based on the group boundaries. Once sorted from A to Z, they are then assigned a number corresponding to their rank within the overall sorted group. There are some variations of this theme but in a nutshell there is no more or no less significance to the precinct id/number.

Where the precincts are physically located or co-located is stronger dimension to be explored.

I am no expert in the science of probilities, so I won't embarrass myself by jumping in on theoretical elements. However I do have some empircal data that although not identical in dimension (votes and registration data) to the poster's dataset it seems worth sharing.

In the county that I have chosen to study - Cuyahoga, Ohio, I have 10 pairs of exact matches on Kerry% (to one dicimal point) within 583 distinct voting locations. (The 583 voting locations host anywhere from 1 to 10 precincts.)

There are 1436 precincts of which 387 precincts have at least one other twin number. Since Kerry's range is from 27.0% to 100.0 (a range of only 730 values.) With a range of 730 and only 1436 precincts, I would expect a large number of repeats. Further, as we co-locate precincts from communities in common we increase the probability that the numbers will be closer together. In analyzing the vote locations, I look for numbers that deviate from the norm in that community be it a ward or a vote address with multiple precincts.

That said, I believe that it is very important to keep raising and discussing these questionanomalies... Not every piece of coal will have a diamond inside, but that doesn't mean we should halt the mining.

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eomer Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 08:41 PM
Response to Original message
84. Simulation to attempt to answer this question
Edited on Wed Apr-06-05 08:43 PM by eomer
I used the random number generator in Excel's Data Analysis
add-in.  I asked it to generate 872 numbers, each one based on
a normal distribution with mean of 50 and standard deviation
of 10.

Once I had those 872 numbers in a column, which were to 8
decimal places, then I rounded each one to 1 decimal place.

Here are the first 20 numbers out of one such set of 872 that
I generated:

Unrounded       Rounded
53.45771696	53.5
49.39644795	49.4
47.9028189	47.9
33.13705873	33.1
57.69693997	57.7
44.48002654	44.5
47.65503844	47.7
43.29370439	43.3
41.52544206	41.5
42.75012215	42.8
33.82249942	33.8
53.69011559	53.7
56.83037342	56.8
41.99382046	42
54.83153144	54.8
52.33237643	52.3
56.63176252	56.6
52.13082103	52.1
62.7457497	62.7
57.7453933	57.7
.
.
.

Next I wrote a macro that would automate the above generation
and rounding and then count how many adjacent cells out of the
sequence of 872 were equal based on accuracy to 1 decimal
place.

Finally I used the max, min, average and stdev functions to
find the highest, lowest, mean and standard deviation for the
set of 872 random numbers just for a check on what the random
number generator produced.

With all that in place then I ran the macro 20 times.  Here
are the results where each row represents one run of the
macro, or in other words the characteristics of one distinct
set of 872 random (normally distributed) numbers.

Adjacent
Matches High    Low     Mean    Std. Dev.
0	78.7	17.7	54.7	9.774705275
1	79.4	18.5	46.45	9.779479132
5	80.2	14.4	52.85	9.731884744
1	83.0	21.8	57.75	10.25802705
3	76.7	20.3	40.6	9.886484902
4	77.3	22	41.25	9.677173031
3	103.6	17	56.25	9.960200452
2	81.6	19.2	54.25	10.05732252
0	86.7	22.3	55.05	9.862911737
3	81.6	22	60.25	9.772695081
3	82.3	22.4	48	9.995540785
4	76.2	18.5	49.15	9.945795319
2	79.2	19.7	46.05	9.939545488
4	85.6	9.9	40.2	9.875906084
1	80.2	16	43.75	10.0194086
1	77.7	17.4	55.85	9.981222828
4	82.3	20.9	50.05	9.742481813
4	84.9	11.6	56.95	10.30959879
4	82.3	16.7	44.6	10.1438093
3	79.7	9.9	53.9	10.07985504

Average for each column:

Adjacent
Matches High    Low     Mean    Std. Dev.
2.60	81.96	17.91	50.40	9.94


Based on this simulation it looks to me like the Miami-Dade
data that showed 3 adjacent matches out of 872 total cells is
a plausible result.  Let me know if there's something here
that looks wrong.

Edit: correct to say that the random numbers were to 8 decimal
places, not 5.
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Wed Apr-06-05 08:54 PM
Response to Reply #84
87. Deleted message
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 10:09 PM
Response to Reply #87
91. I PROVED YOU WRONG TWO WAYS: BINOM FUNCTION AND 100 RANDOM NO. SIMULATIONS
Good night,qwghlmian..
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 10:30 PM
Response to Reply #91
94. LOL
keep saying that TIA. One day someone will believe you.
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 11:01 PM
Response to Reply #94
96. Well, how did you like that little random number generator?
Which is it, qwghlmian?
What's your preference?
Probability Analysis or Simulation?

You just lost both.

How come we never once have seen you post about the likelihood of fraud in this election. Not once.

That really says it all, doesn't it?

As I said a few months back, why don't naysayers like yourself criticize the work of all those PhDs at uscountvotes.org? Why don't you critique THEIR work for once? They're the big boys.

Do their degrees and positions in academia and industry hold you back? Are you too intimidated by THEIR PROMINENCE to lambaste THEIR work?

I guess you feel that you stand a better chance with me.

So be it.

Until next time.




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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 11:09 PM
Response to Reply #96
97. I can show you work of PhDs that says
that US exit polls are not designed to verify results of the elections or predict outcomes. Those PhDs also have degrees and positions in academia and industry. You ignore those PhDs. You have a very selective respect for PhDs, apparently. Only if their work agrees with your dogma. Wonder why that is.
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 07:07 AM
Response to Reply #97
106. Back to talking points? "Exit polls are not designed..." blah, blah, blah
Edited on Thu Apr-07-05 07:19 AM by TruthIsAll
"I can show you work of PhDs that says that US exit polls are not designed to verify results of the elections or predict outcomes. Those PhDs also have degrees and positions in academia and industry. You ignore those PhDs. You have a very selective respect for PhDs, apparently. Only if their work agrees with your dogma. Wonder why that is".

OK, name them.

Back to your stale talking points?
"Exit Polls are not designed..."

The work of uscountvotes.org is dogma?
Because they agree with mine?
My work is dogma?
Because I agree with them?

Why is it, every time an argument of yours is exposed as being without merit, that you resort to those same old talking points?

Quite dogmatic.

You are truly one sad piece of work.
Very sad.


BLAH, BLAH ,BLAH

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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Thu Apr-07-05 08:21 AM
Response to Reply #106
109. "Name them"? Here:
Henry E. Brady, University of California (Berkeley)
Guy-Uriel Charles, University of Minnesota
Benjamin Highton, University of California (Davis)
Martha Kropf, University of Missouri (Kansas City)
Walter R. Mebane, Jr., Cornell University
Michael Traugott, University of Michigan


A Working Group of THE NATIONAL RESEARCH COMMISSION ON ELECTIONS AND VOTING A Project of the Social Science Research Council 810 Seventh Avenue New York, NY 10019 USA

http://election04.ssrc.org/research/InterimReport122204...

"Rather, exit polls as currently designed and administered in the United States are not suitable for use as point estimators for the share of votes that go to different candidates."

...

"Nevertheless, some analysts inappropriately attempt to use current exit poll results to investigate whether the results in a locale (state or country) are accurate or whether fraud might be involved in an election. A certain form of exit poll could be used for this purpose, but again the designs would have to be different. To validate results in specific precincts or from particular machines, the designs would have to incorporate larger numbers of interviews with voters leaving the polls for precision."


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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 11:53 AM
Response to Reply #109
129. Fine. Now a question.
Edited on Thu Apr-07-05 11:53 AM by TruthIsAll
Have these individuals specifically refuted the published work of the PhD's represented at uscountvotes.org?
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Thu Apr-07-05 12:34 PM
Response to Reply #129
133. What does that have to do with anything?
These experts say that US exit polls SHOULD NOT be used for something that they were NOT designed for - namely, election predictions or verification. Period. YOU and people you rely upon routinely try to use these exit polls for those purposes. Those people are experts in the polling field, but you (and people you rely upon) completely ignore their opinion and plow ahead in your dogmatic quest.

It's like someone comes out and says "you should not use your calculator to hammer in nails, it was not designed for it". YOU decide to use your calculator to do exactly that - hammer nails, and then you say - they did not SPECIFICALLY warn ME not to do that.
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Thu Apr-07-05 08:00 PM
Response to Reply #133
147. Deleted message
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Fri Apr-08-05 10:06 AM
Response to Reply #147
163. Did YOUR Phd"s SPECIFICALLY REFUTE uscountvotes.org's latest paper?
Until they refute, we must assume that they agree with the report: the analysis is operative.
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Fri Apr-08-05 10:18 AM
Response to Reply #163
165. Did your PhDs SPECIFICALLY REFUTE
the paper that I wrote that "proves" that the Earth is flat? Until they refute, we must assume that they agree with it.

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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Fri Apr-08-05 10:28 AM
Response to Reply #165
166. Now you are really going off the wall. Your reply speaks for itself.
DUers will duly note it.

Your response exposes you and your agenda.
Of course, we were already well aware of both, so it's nothing new.
In fact, it's expected from you.
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Fri Apr-08-05 11:00 AM
Response to Reply #166
172. ROTFLMAO -
my reply illustrates the absurdity of your statement that if someone does not (and I quote) "SPECIFICALLY REFUTE" something then that means that he agrees with it. That is ridiculous beyond words - but then so are quite a few other statements of yours, so that is nothing new.
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Fri Apr-08-05 11:36 AM
Response to Reply #172
175. I think it would be respectful to adolfo to take this to another thread.
This ongoing battle is making this one unreadable.

Why don't you start one about the Social Science Research Council reports, and why they are more accurate than the US Counts Votes report.

That should give plenty of opportunity for heated debate 8)
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Fri Apr-08-05 11:43 AM
Response to Reply #175
176. Deleted message
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Fri Apr-08-05 11:47 AM
Response to Reply #176
177. If it's pointless, why keep it going here then.
You disagree with each other, what else is there to say.
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Fri Apr-08-05 11:51 AM
Response to Reply #177
178. Deleted message
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Fri Apr-08-05 11:59 AM
Response to Reply #178
179. So your purpose in this thread is to ridicule TIA?
My purpose here is to find truth, and I'm sure I'm not alone.
Making this thread your personal playground of retribution , disrespects the rest of us.
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Fri Apr-08-05 12:04 PM
Response to Reply #179
180. Deleted message
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Fri Apr-08-05 12:13 PM
Response to Reply #180
181. Since your purpose is to ridicule...
Seems one could question your motives here too.

What about the rest of us, are we fodder in your tracks.


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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Fri Apr-08-05 12:23 PM
Response to Reply #181
182. Deleted message
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Fri Apr-08-05 12:44 PM
Response to Reply #182
184. What about the rest of us DUmmies?
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Fri Apr-08-05 12:50 PM
Response to Reply #184
185. Don't understand the question -
what is it exactly?

In my POV, you benefit by seeing that TIA is full of it, because then you are not misled by his posts. If you don't like to see it, or are sure (as so many people seem to be) that TIA "rocks", no matter how incorrect his calculations or assumptions are, then feel free to put me on ignore.
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Fri Apr-08-05 12:58 PM
Response to Reply #185
186. The question is, do you care about anyone else?
You stated your continuing this thread because it is amusing you to ridicule TIA.

Several times I've brought up the other people, here, who have to deal with it.
Yet it seems that doesn't matter to you.
(shrug)
Not a problem. You are, who you are.
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Fri Apr-08-05 01:10 PM
Response to Reply #186
187. Deleted message
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Fri Apr-08-05 01:13 PM
Response to Reply #187
188. Post 175
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Fri Apr-08-05 01:23 PM
Response to Reply #188
189. Full circle..
post #176.
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Fri Apr-08-05 01:38 PM
Response to Reply #187
190. You asked me how amusing yourself ridiculing TIA affects others..
I responded with...
"This ongoing battle is making this one unreadable." (175)

And you respond with....
"TIA does not debate. He cannot. With ideas like "if someone does not SPECIFICALLY REFUTE a paper, then he agrees with it" debate is impossible. See the thread below where TIA (a "mathematician") basically claims that if you multiply 40 by 10 you get 4000. For me, the fact that 40*10 does not equal 4000 is not subject to "debate"." (176)

Which has nothing to do with 'others'.

It really doesn't matter at this point, I got the answer to my original post.
Your free to go back to your self amused ridicule effort.
And don't mind the bumps in the road....it's just the rest of us DUmmies.
(Bow)
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Fri Apr-08-05 01:45 PM
Response to Reply #190
191. Instead of DUmmie,
I would substitute DUDQ (DU drama queen) instead.
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Fri Apr-08-05 01:47 PM
Response to Reply #191
192. Feel free to amuse yourself ridiculing me.....have at it.. 8)
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Sat Apr-09-05 03:53 AM
Response to Reply #192
194. 100 simulation trials: avg 8 match/trial , prob (14 matches) = 1 in 29
Chi, Q is a loser.
This is the final proof.

The probability of at least 14 matches is 1 in 29.
The probability of at least 20 matches is 1 in 4026.

Bottom line, just a few more matches and we have a smoking
gun.


	Vote	Register					
High	400	800					
Low	200	400					
			pct	Diff			
AVG	299	599	51.86	16.74			
MAX	400	800	99.30	68.00			
MIN	200	400	25.30	0.00			
Diff	200	400	74.00	68.00		

100 trial runs:	Avg Match =8

Calculation for Prob>=14 match,
for expected simulation match= 8:			

3.40%	= 1-BINOMDIST(13,3800, 8/3800,TRUE)		
or 1 in 29

N Prob>=N 
1	99.97%
2	99.70%
3	98.63%
4	95.78%
5	90.06%
6	80.91%
7	68.69%
8	54.72%
9	40.75%
10	28.32%
11	18.39%
12	11.17%
13	6.36%
	
14	3.402% (1 in 29)

15	1.715%
16	0.816%
17	0.368%
18	0.157%
19	0.064%

20	0.025% (1 in 4026)



Precinct	Vote	Reg	Pct	Diff	MATCH <	Match	Average of 100
trials
1	397	631	62.90				
2	238	705	33.80	29.10			4
3	258	721	35.80	2.00			8
4	254	705	36.00	0.20			11
5	344	633	54.30	18.30			5
6	251	548	45.80	8.50			5
7	387	774	50.00	4.20			13
8	252	480	52.50	2.50			6
9	245	791	31.00	21.50			9
10	214	625	34.20	3.20			10
11	289	551	52.50	18.30			9
12	360	752	47.90	4.60			5
13	290	497	58.40	10.50			8
14	352	423	83.20	24.80			2
15	266	500	53.20	30.00			7
16	270	581	46.50	6.70			7
17	299	640	46.70	0.20			8
18	321	765	42.00	4.70			12
19	246	599	41.10	0.90			6
20	329	768	42.80	1.70			8
21	205	652	31.40	11.40			9
22	304	720	42.20	10.80			4
23	395	749	52.70	10.50			9
24	340	729	46.60	6.10			7
25	275	623	44.10	2.50			5
26	356	741	48.00	3.90			11
27	230	677	34.00	14.00			7
28	367	583	63.00	29.00			10
29	357	625	57.10	5.90			8
30	255	521	48.90	8.20			8
31	228	770	29.60	19.30			9
32	251	713	35.20	5.60			7
33	284	423	67.10	31.90			17
34	338	771	43.80	23.30			8
35	208	662	31.40	12.40			9
36	283	454	62.30	30.90			4
37	367	414	88.60	26.30			8
38	348	516	67.40	21.20			9
39	287	598	48.00	19.40			9
40	321	635	50.60	2.60			7
41	200	638	31.30	19.30			7
42	203	411	49.40	18.10			8
43	369	662	55.70	6.30			5
44	352	659	53.40	2.30			8
45	313	483	64.80	11.40			17
46	226	663	34.10	30.70			4
47	398	437	91.10	57.00			6
48	319	561	56.90	34.20			11
49	333	508	65.60	8.70			7
50	261	690	37.80	27.80			2
51	218	618	35.30	2.50			5
52	261	658	39.70	4.40			11
53	279	498	56.00	16.30			6
54	297	569	52.20	3.80			4
55	291	693	42.00	10.20			7
56	264	590	44.70	2.70			6
57	352	749	47.00	2.30			5
58	202	668	30.20	16.80			9
59	314	688	45.60	15.40			10
60	210	791	26.50	19.10			9
61	381	645	59.10	32.60			9
62	289	779	37.10	22.00			5
63	353	616	57.30	20.20			8
64	388	578	67.10	9.80			8
65	363	737	49.30	17.80			15
66	275	583	47.20	2.10			9
67	277	455	60.90	13.70			8
68	393	616	63.80	2.90			11
69	330	784	42.10	21.70			11
70	261	468	55.80	13.70			10
71	259	586	44.20	11.60			4
72	357	658	54.30	10.10			7
73	399	402	99.30	45.00			6
74	207	604	34.30	65.00			5
75	326	499	65.30	31.00			9
76	213	529	40.30	25.00			3
77	364	485	75.10	34.80			7
78	307	602	51.00	24.10			13
79	315	672	46.90	4.10			7
80	274	731	37.50	9.40			3
81	364	536	67.90	30.40			7
82	291	730	39.90	28.00			12
83	220	501	43.90	4.00			8
84	217	619	35.10	8.80			9
85	399	653	61.10	26.00			5
86	232	485	47.80	13.30			10
87	385	659	58.40	10.60			6
88	299	400	74.80	16.40			6
89	345	595	58.00	16.80			14
90	291	598	48.70	9.30			8
91	337	483	69.80	21.10			12
92	214	549	39.00	30.80			12
93	390	579	67.40	28.40			6
94	360	696	51.70	15.70			6
95	385	501	76.80	25.10			8
96	355	622	57.10	19.70			4
97	383	669	57.20	0.10			10
98	326	650	50.20	7.00			12
99	356	519	68.60	18.40			9
100	231	575	40.20	28.40			13
101	331	473	70.00	29.80			8
102	293	775	37.80	32.20			
103	219	489	44.80	7.00			
104	226	469	48.20	3.40			
105	271	533	50.80	2.60			
106	286	536	53.40	2.60			
107	282	638	44.20	9.20			
108	213	431	49.40	5.20			
109	226	500	45.20	4.20			
110	310	620	50.00	4.80			
111	353	647	54.60	4.60			
112	352	695	50.60	4.00			
113	264	549	48.10	2.50			
114	214	797	26.90	21.20			
115	391	568	68.80	41.90		
116	232	464	50.00	18.80		
117	375	627	59.80	9.80		
118	240	528	45.50	14.30		
119	381	487	78.20	32.70		
120	311	481	64.70	13.50		
121	364	681	53.50	11.20		
122	294	776	37.90	15.60		
123	307	482	63.70	25.80		
124	353	708	49.90	13.80		
125	257	791	32.50	17.40		
126	226	762	29.70	2.80		
127	342	407	84.00	54.30		
128	283	611	46.30	37.70		
129	354	770	46.00	0.30		
130	369	511	72.20	26.20		
131	297	742	40.00	32.20		
132	334	477	70.00	30.00		
133	223	769	29.00	41.00		
134	295	501	58.90	29.90		
135	224	795	28.20	30.70		
136	371	664	55.90	27.70		
137	321	572	56.10	0.20		
138	359	473	75.90	19.80		
139	290	557	52.10	23.80		
140	316	657	48.10	4.00		
141	226	704	32.10	16.00		
142	222	511	43.40	11.30		
143	392	596	65.80	22.40		
144	364	528	68.90	3.10		
145	297	497	59.80	9.10		
146	222	642	34.60	25.20		
147	240	739	32.50	2.10		
148	368	643	57.20	24.70		
149	311	552	56.30	0.90		
150	332	434	76.50	20.20		
151	303	701	43.20	33.30		
152	324	439	73.80	30.60		
153	202	682	29.60	44.20		
154	398	514	77.40	47.80		
155	305	560	54.50	22.90		
156	320	465	68.80	14.30		
157	328	722	45.40	23.40		
158	317	741	42.80	2.60		
159	231	500	46.20	3.40		
160	255	783	32.60	13.60		
161	224	684	32.70	0.10		
162	329	428	76.90	44.20		
163	294	405	72.60	4.30		
164	380	622	61.10	11.50		
165	349	672	51.90	9.20		
166	269	630	42.70	9.20		
167	383	591	64.80	22.10		
168	397	437	90.80	26.00		
169	368	487	75.60	15.20		
170	248	793	31.30	44.30		
171	345	714	48.30	17.00		
172	396	499	79.40	31.10		
173	250	608	41.10	38.30		
174	267	540	49.40	8.30		
175	333	582	57.20	7.80		
176	203	406	50.00	7.20		
177	323	542	59.60	9.60		
178	394	546	72.20	12.60		
179	372	569	65.40	6.80		
180	369	781	47.20	18.20		
181	246	692	35.50	11.70		
182	332	412	80.60	45.10		
183	311	637	48.80	31.80		
184	226	763	29.60	19.20		
185	384	744	51.60	22.00		
186	263	434	60.60	9.00		
187	384	750	51.20	9.40		
188	216	595	36.30	14.90		
189	248	499	49.70	13.40		
190	385	631	61.00	11.30		
191	215	589	36.50	24.50		
192	268	542	49.40	12.90		
193	380	475	80.00	30.60		
194	366	772	47.40	32.60		
195	227	425	53.40	6.00		
196	268	491	54.60	1.20		
197	321	795	40.40	14.20		
198	362	549	65.90	25.50		
199	338	551	61.30	4.60		
200	343	562	61.00	0.30		
201	232	658	35.30	25.70		
202	213	734	29.00	6.30		
203	272	450	60.40	31.40		
204	323	775	41.70	18.70		
205	322	413	78.00	36.30		
206	378	658	57.40	20.60		
207	327	478	68.40	11.00		
208	227	636	35.70	32.70		
209	322	447	72.00	36.30		
210	202	658	30.70	41.30		
211	257	511	50.30	19.60		
212	317	664	47.70	2.60		
213	273	641	42.60	5.10		
214	201	487	41.30	1.30		
215	350	598	58.50	17.20		
216	214	639	33.50	25.00		
217	208	685	30.40	3.10		
218	396	577	68.60	38.20		
219	300	688	43.60	25.00		
220	240	764	31.40	12.20		
221	394	655	60.20	28.80		
222	379	444	85.40	25.20		
223	374	451	82.90	2.50		
224	340	553	61.50	21.40		
225	243	515	47.20	14.30		
226	322	497	64.80	17.60		
227	378	638	59.20	5.60		
228	261	690	37.80	21.40		
229	348	415	83.90	46.10		
230	381	586	65.00	18.90		
231	396	729	54.30	10.70		
232	236	665	35.50	18.80		
233	376	797	47.20	11.70		
234	357	789	45.20	2.00		
235	323	756	42.70	2.50		
236	357	655	54.50	11.80		
237	253	572	44.20	10.30		
238	306	715	42.80	1.40		
239	202	629	32.10	10.70		
240	395	605	65.30	33.20		
241	338	416	81.30	16.00		
242	250	697	35.90	45.40		
243	255	554	46.00	10.10		
244	329	477	69.00	23.00		
245	355	591	60.10	8.90		
246	263	476	55.30	4.80		
247	273	487	56.10	0.80		
248	219	422	51.90	4.20		
249	356	400	89.00	37.10		
250	360	757	47.60	41.40		
251	312	644	48.40	0.80		
252	295	511	57.70	9.30		
253	222	542	41.00	16.70		
254	344	568	60.60	19.60		
255	240	650	36.90	23.70		
256	383	481	79.60	42.70		
257	284	603	47.10	32.50		
258	228	674	33.80	13.30		
259	374	709	52.80	19.00		
260	336	680	49.40	3.40		
261	240	785	30.60	18.80		
262	395	499	79.20	48.60		
263	293	577	50.80	28.40		
264	240	752	31.90	18.90		
265	225	520	43.30	11.40		
266	255	735	34.70	8.60		
267	283	678	41.70	7.00		
268	266	424	62.70	21.00		
269	276	425	64.90	2.20		
270	276	648	42.60	22.30		
271	341	429	79.50	36.90		
272	261	715	36.50	43.00		
273	378	731	51.70	15.20		
274	369	741	49.80	1.90		
275	232	717	32.40	17.40		
276	343	562	61.00	28.60		
277	365	483	75.60	14.60		
278	359	442	81.20	5.60		
279	237	619	38.30	42.90		
280	381	754	50.50	12.20		
281	247	456	54.20	3.70		
282	381	688	55.40	1.20		
283	363	452	80.30	24.90		
284	380	431	88.20	7.90		
285	219	435	50.30	37.90		
286	273	647	42.20	8.10		
287	247	647	38.20	4.00		
288	243	405	60.00	21.80		
289	307	564	54.40	5.60		
290	356	596	59.70	5.30		
291	399	575	69.40	9.70		
292	284	749	37.90	31.50		
293	215	416	51.70	13.80		
294	271	450	60.20	8.50		
295	240	545	44.00	16.20		
296	355	729	48.70	4.70		
297	272	754	36.10	12.60		
298	260	634	41.00	4.90		
299	300	766	39.20	1.80		
300	206	548	37.60	1.60		
301	342	436	78.40	40.80		
302	255	778	32.80	45.60		
303	235	614	38.30	5.50		
304	384	597	64.30	26.00		
305	236	469	50.30	14.00		
306	223	674	33.10	17.20		
307	295	567	52.00	18.90		
308	370	554	66.80	14.80		
309	235	669	35.10	31.70		
310	249	756	32.90	2.20		
311	323	563	57.40	24.50		
312	395	434	91.00	33.60		
313	236	635	37.20	53.80		
314	306	577	53.00	15.80		
315	373	512	72.90	19.90		
316	398	602	66.10	6.80		
317	255	514	49.60	16.50		
318	264	549	48.10	1.50		
319	252	660	38.20	9.90		
320	271	503	53.90	15.70		
321	219	608	36.00	17.90		
322	258	687	37.60	1.60		
323	373	414	90.10	52.50		
324	389	541	71.90	18.20		
325	369	459	80.40	8.50		
326	240	535	44.90	35.50		
327	254	731	34.70	10.20		
328	399	640	62.30	27.60		
329	290	789	36.80	25.50		
330	338	462	73.20	36.40		
331	255	487	52.40	20.80		
332	289	511	56.60	4.20		
333	343	497	69.00	12.40		
334	227	446	50.90	18.10		
335	363	442	82.10	31.20		
336	314	678	46.30	35.80		
337	279	479	58.20	11.90		
338	350	551	63.50	5.30		
339	206	452	45.60	17.90		
340	275	732	37.60	8.00		
341	265	585	45.30	7.70		
342	299	634	47.20	1.90		
343	334	500	66.80	19.60		
344	326	638	51.10	15.70		
345	343	521	65.80	14.70		
346	396	703	56.30	9.50		
347	260	789	33.00	23.30		
348	378	601	62.90	29.90		
349	226	477	47.40	15.50		
350	339	422	80.30	32.90		
351	238	579	41.10	39.20		
352	369	748	49.30	8.20		
353	281	789	35.60	13.70		
354	363	733	49.50	13.90		
355	241	451	53.40	3.90		
356	276	638	43.30	10.10		
357	328	552	59.40	16.10		
358	231	717	32.20	27.20		
359	327	518	63.10	30.90		
360	228	652	35.00	28.10		
361	305	480	63.50	28.50		
362	255	466	54.70	8.80		
363	265	575	46.10	8.60		
364	372	798	46.60	0.50		
365	225	432	52.10	5.50		
366	308	596	51.70	0.40		
367	281	749	37.50	14.20		
368	329	553	59.50	22.00		
369	227	504	45.00	14.50		
370	219	545	40.20	4.80		
371	330	798	41.40	1.20		
372	238	621	38.30	3.10		
373	237	475	49.90	11.60		
374	357	550	64.90	15.00		
375	396	723	54.80	10.10		
376	274	696	39.40	15.40		
377	348	696	50.00	10.60		
378	218	757	28.80	21.20		
379	375	430	87.20	58.40		
380	208	758	27.40	59.80		
381	269	422	63.70	36.30		
382	252	793	31.80	31.90		
383	356	613	58.10	26.30		
384	381	508	75.00	16.90		
385	226	437	51.70	23.30		
386	256	782	32.70	19.00		
387	324	678	47.80	15.10		
388	200	577	34.70	13.10		
389	204	478	42.70	8.00		
390	274	676	40.50	2.20		
391	227	637	35.60	4.90		
392	372	795	46.80	11.20		
393	305	680	44.90	1.90		
394	243	561	43.30	1.60		
395	344	782	44.00	0.70		
396	348	420	82.90	38.90		
397	385	736	52.30	30.60		
398	329	438	75.10	22.80		
399	222	552	40.20	34.90		
400	221	529	41.80	1.60		
401	358	759	47.20	5.40		
402	400	592	67.60	20.40		
403	292	400	73.00	5.40		
404	251	493	50.90	22.10		
405	343	555	61.80	10.90		
406	318	780	40.80	21.00		
407	288	738	39.00	1.80		
408	294	683	43.00	4.00		
409	386	578	66.80	23.80		
410	293	420	69.80	3.00		
411	273	740	36.90	32.90		
412	266	455	58.50	21.60		
413	297	674	44.10	14.40		
414	202	575	35.10	9.00		
415	261	630	41.40	6.30		
416	300	769	39.00	2.40		
417	255	502	50.80	11.80		
418	352	559	63.00	12.20		
419	341	760	44.90	18.10		
420	232	502	46.20	1.30		
421	399	680	58.70	12.50		
422	245	706	34.70	24.00		
423	361	756	47.80	13.10		
424	296	447	66.20	18.40		
425	327	419	78.00	11.80		
426	344	556	61.90	16.10		
427	391	779	50.20	11.70		
428	340	485	70.10	19.90		
429	281	604	46.50	23.60		
430	256	485	52.80	6.30		
431	389	412	94.40	41.60		
432	207	780	26.50	67.90		
433	222	528	42.00	15.50		
434	369	582	63.40	21.40		
435	294	595	49.40	14.00		
436	278	630	44.10	5.30		
437	360	532	67.70	23.60		
438	348	613	56.80	10.90		
439	326	784	41.60	15.20		
440	217	690	31.40	10.20		
441	371	585	63.40	32.00		
442	264	616	42.90	20.50		
443	224	584	38.40	4.50		
444	212	768	27.60	10.80		
445	251	717	35.00	7.40		
446	340	525	64.80	29.80		
447	251	721	34.80	30.00		
448	290	796	36.40	1.60		
449	234	783	29.90	6.50		
450	249	676	36.80	6.90		
451	349	640	54.50	17.70		
452	400	615	65.00	10.50		
453	293	574	51.00	14.00		
454	365	606	60.20	9.20		
455	218	697	31.30	28.90		
456	344	534	64.40	33.10		
457	358	456	78.50	14.10		
458	288	716	40.20	38.30		
459	248	739	33.60	6.60		
460	379	773	49.00	15.40		
461	203	490	41.40	7.60		
462	234	750	31.20	10.20		
463	286	775	36.90	5.70		
464	344	618	55.70	18.80		
465	271	712	38.10	17.60		
466	292	642	45.50	7.40		
467	264	799	33.00	12.50		
468	263	592	44.40	11.40		
469	321	685	46.90	2.50		
470	200	531	37.70	9.20		
471	297	730	40.70	3.00		
472	303	454	66.70	26.00		
473	393	617	63.70	3.00		
474	300	645	46.50	17.20		
475	312	745	41.90	4.60		
476	244	435	56.10	14.20		
477	225	651	34.60	21.50		
478	219	639	34.30	0.30		
479	280	444	63.10	28.80		
480	262	755	34.70	28.40		
481	287	696	41.20	6.50		
482	355	462	76.80	35.60		
483	370	655	56.50	20.30		
484	272	406	67.00	10.50		
485	242	417	58.00	9.00		
486	392	524	74.80	16.80		
487	342	719	47.60	27.20		
488	298	546	54.60	7.00		
489	290	580	50.00	4.60		
490	205	692	29.60	20.40		
491	305	771	39.60	10.00		
492	240	433	55.40	15.80		
493	250	706	35.40	20.00		
494	278	645	43.10	7.70		
495	347	709	48.90	5.80		
496	316	737	42.90	6.00		
497	273	522	52.30	9.40		
498	389	696	55.90	3.60		
499	285	535	53.30	2.60		
500	286	682	41.90	11.40		
501	321	671	47.80	5.90		
502	388	739	52.50	4.70		
503	232	527	44.00	8.50		
504	349	662	52.70	8.70		
505	244	495	49.30	3.40		
506	309	584	52.90	3.60		
507	289	533	54.20	1.30		
508	203	582	34.90	19.30		
509	377	449	84.00	49.10		
510	302	702	43.00	41.00		
511	354	744	47.60	4.60		
512	358	569	62.90	15.30		
513	229	477	48.00	14.90		
514	381	569	67.00	19.00		
515	322	585	55.00	12.00		
516	288	483	59.60	4.60		
517	204	659	31.00	28.60		
518	333	760	43.80	12.80		
519	247	788	31.30	12.50		
520	207	711	29.10	2.20		
521	212	532	39.80	10.70		
522	363	490	74.10	34.30		
523	322	571	56.40	17.70		
524	351	607	57.80	1.40		
525	366	769	47.60	10.20		
526	211	729	28.90	18.70		
527	294	768	38.30	9.40		
528	233	489	47.60	9.30		
529	272	647	42.00	5.60		
530	380	455	83.50	41.50		
531	274	472	58.10	25.40		
532	295	770	38.30	19.80		
533	267	598	44.60	6.30		
534	219	709	30.90	13.70		
535	200	534	37.50	6.60		
536	241	623	38.70	1.20		
537	377	601	62.70	24.00		
538	265	637	41.60	21.10		
539	282	537	52.50	10.90		
540	273	504	54.20	1.70		
541	375	636	59.00	4.80		
542	216	708	30.50	28.50		
543	228	536	42.50	12.00		
544	256	697	36.70	5.80		
545	390	585	66.70	30.00		
546	229	582	39.30	27.40		
547	333	513	64.90	25.60		
548	334	709	47.10	17.80		
549	374	590	63.40	16.30		
550	376	596	63.10	0.30		
551	353	582	60.70	2.40		
552	318	457	69.60	8.90		
553	204	722	28.30	41.30		
554	286	721	39.70	11.40		
555	208	400	52.00	12.30		
556	230	480	47.90	4.10		
557	364	677	53.80	5.90		
558	283	636	44.50	9.30		
559	379	409	92.70	48.20		
560	375	574	65.30	27.40		
561	352	532	66.20	0.90		
562	259	521	49.70	16.50		
563	267	495	53.90	4.20		
564	313	410	76.30	22.40		
565	400	664	60.20	16.10		
566	208	429	48.50	11.70		
567	225	693	32.50	16.00		
568	308	680	45.30	12.80		
569	371	546	67.90	22.60		
570	208	775	26.80	41.10		
571	289	541	53.40	26.60		
572	373	482	77.40	24.00		
573	389	505	77.00	0.40		
574	328	461	71.10	5.90		
575	290	679	42.70	28.40		
576	363	788	46.10	3.40		
577	385	632	60.90	14.80		
578	266	462	57.60	3.30		
579	277	695	39.90	17.70		
580	242	697	34.70	5.20		
581	274	765	35.80	1.10		
582	246	632	38.90	3.10		
583	338	776	43.60	4.70		
584	285	643	44.30	0.70		
585	266	718	37.00	7.30		
586	301	716	42.00	5.00		
587	380	511	74.40	32.40		
588	270	728	37.10	37.30		
589	365	638	57.20	20.10		
590	233	714	32.60	24.60		
591	214	400	53.50	20.90		
592	344	472	72.90	19.40		
593	353	559	63.10	9.80		
594	260	706	36.80	26.30		
595	377	684	55.10	18.30		
596	321	790	40.60	14.50		
597	207	657	31.50	9.10		
598	245	570	43.00	11.50		
599	334	551	60.60	17.60		
600	229	621	36.90	23.70		
601	288	442	65.20	28.30		
602	322	531	60.60	4.60		
603	244	580	42.10	18.50		
604	326	778	41.90	0.20		
605	273	428	63.80	21.90		
606	329	438	75.10	11.30		
607	202	797	25.30	49.80		
608	397	548	72.40	47.10		
609	282	724	39.00	33.40		
610	400	525	76.20	37.20		
611	355	798	44.50	31.70		
612	378	431	87.70	43.20		
613	345	528	65.30	22.40		
614	314	715	43.90	21.40		
615	208	421	49.40	5.50		
616	294	561	52.40	3.00		
617	263	481	54.70	2.30		
618	388	612	63.40	8.70		
619	202	715	28.30	35.10		
620	313	524	59.70	31.40		
621	252	676	37.30	22.40		
622	237	563	42.10	4.80		
623	378	572	66.10	24.00		
624	231	611	37.80	28.30		
625	208	629	33.10	4.70		
626	306	524	58.40	25.30		
627	295	431	68.40	10.00		
628	377	432	87.30	18.90		
629	228	619	36.80	50.50		
630	253	589	43.00	6.20		
631	343	543	63.20	20.20		
632	288	699	41.20	22.00		
633	290	537	54.00	12.80		
634	384	558	68.80	14.80		
635	228	750	30.40	38.40		
636	294	605	48.60	18.20		
637	333	415	80.20	31.60		
638	240	663	36.20	44.00		
639	216	740	29.20	7.00		
640	277	750	36.90	7.70		
641	309	633	48.80	11.90		
642	301	537	56.10	7.30		
643	217	788	27.50	28.60		
644	342	791	43.20	15.70		
645	285	695	41.00	2.20		
646	377	697	54.10	13.10		
647	230	785	29.30	24.80		
648	333	617	54.00	24.70		
649	335	514	65.20	11.20		
650	381	470	81.10	15.90		
651	399	411	97.10	16.00		
652	388	755	51.40	45.70		
653	242	644	37.60	13.80		
654	390	466	83.70	46.10		
655	390	557	70.00	13.70		
656	393	649	60.60	9.40		
657	310	459	67.50	6.90		
658	281	641	43.80	23.70		
659	299	721	41.50	2.30		
660	287	484	59.30	17.80		
661	341	406	84.00	24.70		
662	390	437	89.20	5.20		
663	372	590	63.10	26.10		
664	347	432	80.30	17.20		
665	201	610	33.00	47.30		
666	213	477	44.70	11.70		
667	247	752	32.80	11.90		
668	257	774	33.20	0.40		
669	365	728	50.10	16.90		
670	327	719	45.50	4.60		
671	295	439	67.20	21.70		
672	221	613	36.10	31.10		
673	352	733	48.00	11.90		
674	226	628	36.00	12.00		
675	350	486	72.00	36.00		
676	371	737	50.30	21.70		
677	226	517	43.70	6.60		
678	312	693	45.00	1.30		
679	312	655	47.60	2.60		
680	365	654	55.80	8.20		
681	207	568	36.40	19.40		
682	315	441	71.40	35.00		
683	338	507	66.70	4.70		
684	343	532	64.50	2.20		
685	281	767	36.60	27.90		
686	317	416	76.20	39.60		
687	295	540	54.60	21.60		
688	241	645	37.40	17.20		
689	278	533	52.20	14.80		
690	222	781	28.40	23.80		
691	249	632	39.40	11.00		
692	337	690	48.80	9.40		
693	312	406	76.80	28.00		
694	372	497	74.80	2.00		
695	349	427	81.70	6.90		
696	293	798	36.70	45.00		
697	253	676	37.40	0.70		
698	396	526	75.30	37.90		
699	312	575	54.30	21.00		
700	386	566	68.20	13.90		
701	286	762	37.50	30.70		
702	253	539	46.90	9.40		
703	231	638	36.20	10.70		
704	366	787	46.50	10.30		
705	341	473	72.10	25.60		
706	326	709	46.00	26.10		
707	213	406	52.50	6.50		
708	365	683	53.40	0.90		
709	252	652	38.70	14.70		
710	251	453	55.40	16.70		
711	209	452	46.20	9.20		
712	251	537	46.70	0.50		
713	200	512	39.10	7.60		
714	370	717	51.60	12.50		
715	254	529	48.00	3.60		
716	273	652	41.90	6.10		
717	291	594	49.00	7.10		
718	313	601	52.10	3.10		
719	306	657	46.60	5.50		
720	214	686	31.20	15.40		
721	341	604	56.50	25.30		
722	388	784	49.50	7.00		
723	390	437	89.20	39.70		
724	350	442	79.20	10.00		
725	347	564	61.50	17.70		
726	389	754	51.60	9.90		
727	238	762	31.20	20.40		
728	207	572	36.20	5.00		
729	343	589	58.20	22.00		
730	296	750	39.50	18.70		
731	207	543	38.10	1.40		
732	284	748	38.00	0.10		
733	331	490	67.60	29.60		
734	209	678	30.80	36.80		
735	355	492	72.20	41.40		
736	245	456	53.70	18.50		
737	326	626	52.10	1.60		
738	205	414	49.50	2.60		
739	241	615	39.20	10.30		
740	215	685	31.40	7.80		
741	400	764	52.40	21.00		
742	288	703	41.00	11.40		
743	325	662	49.10	8.10		
744	238	661	36.00	13.10		
745	397	528	75.20	39.20		
746	356	744	47.80	27.40		
747	326	443	73.60	25.80		
748	379	636	59.60	14.00		
749	290	524	55.30	4.30		
750	349	562	62.10	6.80		
751	395	736	53.70	8.40		
752	258	737	35.00	18.70		
753	262	792	33.10	1.90		
754	246	628	39.20	6.10		
755	238	643	37.00	2.20		
756	211	547	38.60	1.60		
757	236	779	30.30	8.30		
758	240	769	31.20	0.90		
759	245	647	37.90	6.70		
760	382	422	90.50	52.60		
761	310	501	61.90	28.60		
762	234	627	37.30	24.60		
763	312	501	62.30	25.00		
764	276	762	36.20	26.10		
765	330	544	60.70	24.50		
766	333	707	47.10	13.60		
767	355	421	84.30	37.20		
768	249	619	40.20	44.10		
769	248	520	47.70	7.50		
770	301	603	49.90	2.20		
771	269	545	49.40	0.50		
772	303	603	50.20	0.80		
773	281	552	50.90	0.70		
774	390	476	81.90	31.00		
775	376	776	48.50	33.40		
776	273	542	50.40	1.90		
777	282	621	45.40	5.00		
778	343	741	46.30	0.90		
779	350	686	51.00	4.70		
780	212	586	36.20	14.80		
781	228	669	34.10	2.10		
782	392	700	56.00	21.90		
783	344	693	49.60	6.40		
784	272	464	58.60	9.00		
785	392	403	97.30	38.70		
786	224	728	30.80	66.50		
787	256	798	32.10	1.30		
788	334	729	45.80	13.70		
789	237	773	30.70	15.10		
790	359	640	56.10	25.40		
791	307	665	46.20	9.90		
792	220	467	47.10	0.90		
793	275	591	46.50	0.60		
794	320	627	51.00	4.50		
795	369	507	72.80	21.80		
796	236	714	33.10	39.70		
797	202	561	36.00	2.90		
798	285	436	65.40	29.40		
799	379	710	53.40	12.00		
800	296	667	44.40	9.00		
801	369	794	46.50	2.10		
802	218	542	40.20	6.30		
803	322	521	61.80	21.60		
804	293	483	60.70	1.10		
805	251	659	38.10	22.60		
806	286	464	61.60	23.50		
807	386	580	66.60	5.00		
808	287	697	41.20	25.40		
809	313	693	45.20	4.00		
810	384	649	59.20	14.00		
811	279	642	43.50	15.70		
812	230	687	33.50	10.00		
813	272	715	38.00	4.50		
814	235	656	35.80	2.20		
815	300	529	56.70	20.90		
816	303	762	39.80	16.90		
817	357	437	81.70	41.90		
818	344	509	67.60	14.10		
819	226	502	45.00	22.60		
820	253	670	37.80	7.20		
821	209	779	26.80	11.00		
822	297	520	57.10	30.30		
823	252	597	42.20	14.90		
824	323	582	55.50	13.30		
825	357	478	74.70	19.20		
826	253	680	37.20	37.50		
827	258	526	49.00	11.80		
828	353	415	85.10	36.10		
829	387	583	66.40	18.70		
830	287	770	37.30	29.10		
831	320	515	62.10	24.80		
832	388	453	85.70	23.60		
833	309	638	48.40	37.30		
834	220	506	43.50	4.90		
835	381	583	65.40	21.90		
836	325	775	41.90	23.50		
837	363	710	51.10	9.20		
838	339	584	58.00	6.90		
839	265	549	48.30	9.70		
840	284	427	66.50	18.20		
841	245	612	40.00	26.50		
842	283	766	36.90	3.10		
843	295	579	50.90	14.00		
844	219	467	46.90	4.00		
845	216	625	34.60	12.30		
846	266	735	36.20	1.60		
847	245	729	33.60	2.60		
848	377	674	55.90	22.30		
849	263	713	36.90	19.00		
850	336	696	48.30	11.40		
851	355	414	85.70	37.40		
852	249	743	33.50	52.20		
853	333	434	76.70	43.20		
854	242	454	53.30	23.40		
855	250	550	45.50	7.80		
856	343	743	46.20	0.70		
857	342	661	51.70	5.50		
858	243	519	46.80	4.90		
859	237	657	36.10	10.70		
860	373	539	69.20	33.10		
861	284	602	47.20	22.00		
862	334	551	60.60	13.40		
863	282	776	36.30	24.30		
864	259	607	42.70	6.40		
865	279	454	61.50	18.80		
866	352	661	53.30	8.20		
867	260	797	32.60	20.70		
868	261	572	45.60	13.00		
869	206	543	37.90	7.70		
870	200	455	44.00	6.10		
871	374	621	60.20	16.20		
872	335	403	83.10	22.90		
873	362	651	55.60	27.50		
874	338	732	46.20	9.40		
875	267	514	51.90	5.70		
876	351	717	49.00	2.90		
877	287	489	58.70	9.70		
878	293	685	42.80	15.90		
879	366	741	49.40	6.60		
880	328	799	41.10	8.30		
881	321	708	45.30	4.20		
882	357	507	70.40	25.10		
883	360	500	72.00	1.60		
884	298	671	44.40	27.60		
885	334	446	74.90	30.50		
886	268	700	38.30	36.60		
887	302	447	67.60	29.30		
888	209	738	28.30	39.30		
889	380	515	73.80	45.50		
890	319	769	41.50	32.30		
891	347	579	59.90	18.40		
892	264	405	65.20	5.30		
893	349	643	54.30	10.90		
894	302	662	45.60	8.70		
895	351	542	64.80	19.20		
896	293	444	66.00	1.20		
897	390	783	49.80	16.20		
898	379	432	87.70	37.90		
899	232	749	31.00	56.70		
900	255	630	40.50	9.50		
901	357	462	77.30	36.80		
902	316	457	69.10	8.20		
903	229	495	46.30	22.80		
904	290	758	38.30	8.00		
905	348	415	83.90	45.60		
906	223	646	34.50	49.40		
907	347	797	43.50	9.00		
908	373	656	56.90	13.40		
909	242	632	38.30	18.60		
910	262	754	34.70	3.60		
911	261	419	62.30	27.60		
912	389	494	78.70	16.40		
913	206	447	46.10	32.60		
914	262	612	42.80	3.30		
915	387	641	60.40	17.60		
916	297	537	55.30	5.10		
917	381	601	63.40	8.10		
918	236	480	49.20	14.20		
919	290	758	38.30	10.90		
920	390	568	68.70	30.40		
921	335	732	45.80	22.90		
922	361	712	50.70	4.90		
923	364	566	64.30	13.60		
924	292	502	58.20	6.10		
925	249	587	42.40	15.80		
926	340	547	62.20	19.80		
927	374	410	91.20	29.00		
928	219	466	47.00	44.20		
929	270	786	34.40	12.60		
930	299	464	64.40	30.00		
931	327	478	68.40	4.00		
932	205	660	31.10	37.30		
933	213	432	49.30	18.20		
934	330	491	67.20	17.90		
935	258	786	32.80	34.40		
936	243	588	41.30	8.50		
937	236	714	33.10	8.20		
938	236	787	30.00	3.10		
939	394	432	91.20	61.20		
940	292	445	65.60	25.60		
941	263	679	38.70	26.90		
942	371	576	64.40	25.70		
943	370	449	82.40	18.00		
944	204	413	49.40	33.00		
945	264	708	37.30	12.10		
946	300	775	38.70	1.40		
947	277	537	51.60	12.90		
948	392	491	79.80	28.20		
949	327	545	60.00	19.80		
950	220	753	29.20	30.80		
951	397	423	93.90	64.70		
952	284	432	65.70	28.20		
953	389	776	50.10	15.60		
954	366	780	46.90	3.20		
955	228	481	47.40	0.50		
956	282	709	39.80	7.60		
957	220	441	49.90	10.10		
958	368	514	71.60	21.70		
959	229	651	35.20	36.40		
960	200	510	39.20	4.00		
961	300	483	62.10	22.90		
962	249	462	53.90	8.20		
963	239	598	40.00	13.90		
964	214	722	29.60	10.40		
965	311	623	49.90	20.30		
966	337	602	56.00	6.10		
967	220	550	40.00	16.00		
968	335	667	50.20	10.20		
969	298	621	48.00	2.20		
970	201	469	42.90	5.10		
971	367	536	68.50	25.60		
972	377	700	53.90	14.60		
973	226	725	31.20	22.70		
974	326	688	47.40	16.20		
975	367	518	70.80	23.40		
976	296	668	44.30	26.50		
977	295	727	40.60	3.70		
978	283	594	47.60	7.00		
979	322	619	52.00	4.40		
980	303	730	41.50	10.50		
981	260	706	36.80	4.70		
982	292	772	37.80	1.00		
983	295	674	43.80	6.00		
984	226	757	29.90	13.90		
985	240	415	57.80	27.90		
986	281	677	41.50	16.30		
987	261	661	39.50	2.00		
988	354	422	83.90	44.40		
989	214	447	47.90	36.00		
990	315	466	67.60	19.70		
991	257	422	60.90	6.70		
992	269	717	37.50	23.40		
993	282	482	58.50	21.00		
994	358	644	55.60	2.90		
995	349	720	48.50	7.10		
996	301	733	41.10	7.40		
997	335	484	69.20	28.10		
998	338	509	66.40	2.80		
999	305	628	48.60	17.80		
1000	315	683	46.10	2.50		
1001	233	497	46.90	0.80		
1002	398	598	66.60	19.70		
1003	286	772	37.00	29.60		
1004	219	707	31.00	6.00		
1005	356	547	65.10	34.10		
1006	252	689	36.60	28.50		
1007	229	628	36.50	0.10		
1008	290	400	72.50	36.00		
1009	212	477	44.40	28.10		
1010	316	696	45.40	1.00		
1011	270	744	36.30	9.10		
1012	255	532	47.90	11.60		
1013	301	512	58.80	10.90		
1014	318	734	43.30	15.50		
1015	358	702	51.00	7.70		
1016	238	687	34.60	16.40		
1017	359	459	78.20	43.60		
1018	310	604	51.30	26.90		
1019	313	491	63.70	12.40		
1020	344	672	51.20	12.50		
1021	202	463	43.60	7.60		
1022	349	579	60.30	16.70		
1023	320	738	43.40	16.90		
1024	223	613	36.40	7.00		
1025	383	756	50.70	14.30		
1026	286	421	67.90	17.20		
1027	272	424	64.20	3.70		
1028	347	608	57.10	7.10		
1029	339	449	75.50	18.40		
1030	225	401	56.10	19.40		
1031	287	701	40.90	15.20		
1032	256	615	41.60	0.70		
1033	271	670	40.40	1.20		
1034	246	482	51.00	10.60		
1035	329	588	56.00	5.00		
1036	228	436	52.30	3.70		
1037	321	768	41.80	10.50		
1038	343	753	45.60	3.80		
1039	328	582	56.40	10.80		
1040	312	617	50.60	5.80		
1041	259	646	40.10	10.50		
1042	306	631	48.50	8.40		
1043	232	551	42.10	6.40		
1044	213	592	36.00	6.10		
1045	327	573	57.10	21.10		
1046	361	467	77.30	20.20		
1047	368	705	52.20	25.10		
1048	389	487	79.90	27.70		
1049	216	521	41.50	38.40		
1050	218	642	34.00	7.50		
1051	270	460	58.70	24.70		
1052	221	712	31.00	27.70		
1053	268	468	57.30	26.30		
1054	314	465	67.50	10.20		
1055	233	400	58.30	9.20		
1056	315	474	66.50	8.20		
1057	258	672	38.40	28.10		
1058	230	743	31.00	7.40		
1059	276	558	49.50	18.50		
1060	385	563	68.40	18.90		
1061	385	508	75.80	7.40		
1062	224	420	53.30	22.50		
1063	244	715	34.10	19.20		
1064	361	457	79.00	44.90		
1065	357	422	84.60	5.60		
1066	240	778	30.80	53.80		
1067	228	604	37.70	6.90		
1068	218	478	45.60	7.90		
1069	281	462	60.80	15.20		
1070	386	449	86.00	25.20		
1071	214	453	47.20	38.80		
1072	221	772	28.60	18.60		
1073	382	578	66.10	37.50		
1074	257	754	34.10	32.00		
1075	271	562	48.20	14.10		
1076	255	617	41.30	6.90		
1077	333	475	70.10	28.80		
1078	220	643	34.20	35.90		
1079	382	527	72.50	38.30		
1080	348	548	63.50	9.00		
1081	355	482	73.70	10.20		
1082	288	627	45.90	27.80		
1083	207	626	33.10	12.80		
1084	316	746	42.40	9.30		
1085	377	766	49.20	6.80		
1086	299	483	61.90	12.70		
1087	321	441	72.80	10.90		
1088	232	747	31.10	41.70		
1089	325	691	47.00	15.90		
1090	217	553	39.20	7.80		
1091	229	681	33.60	5.60		
1092	282	750	37.60	4.00		
1093	386	591	65.30	27.70		
1094	333	507	65.70	0.40		
1095	303	789	38.40	27.30		
1096	298	411	72.50	34.10		
1097	213	610	34.90	37.60		
1098	242	548	44.20	9.30		
1099	296	696	42.50	1.70		
1100	208	607	34.30	8.20		
1101	236	672	35.10	0.80		
1102	386	657	58.80	23.70		
1103	335	429	78.10	19.30		
1104	263	545	48.30	29.80		
1105	351	680	51.60	3.30		
1106	262	531	49.30	2.30		
1107	393	401	98.00	48.70		
1108	213	683	31.20	66.80		
1109	208	610	34.10	2.90		
1110	252	788	32.00	2.10		
1111	244	448	54.50	22.50		
1112	272	570	47.70	6.80		
1113	217	565	38.40	9.30		
1114	220	587	37.50	0.90		
1115	391	567	69.00	31.50		
1116	237	518	45.80	23.20		
1117	208	653	31.90	13.90		
1118	349	685	50.90	19.00		
1119	291	700	41.60	9.30		
1120	229	707	32.40	9.20		
1121	393	760	51.70	19.30		
1122	351	744	47.20	4.50		
1123	251	658	38.10	9.10		
1124	277	746	37.10	1.00		
1125	252	782	32.20	4.90		
1126	317	449	70.60	38.40		
1127	357	757	47.20	23.40		
1128	283	683	41.40	5.80		
1129	362	768	47.10	5.70		
1130	381	453	84.10	37.00		
1131	249	539	46.20	37.90		
1132	259	551	47.00	0.80		
1133	229	410	55.90	8.90		
1134	244	493	49.50	6.40		
1135	227	450	50.40	0.90		
1136	311	653	47.60	2.80		
1137	246	511	48.10	0.50		
1138	225	457	49.20	1.10		
1139	224	774	28.90	20.30		
1140	320	469	68.20	39.30		
1141	241	447	53.90	14.30		
1142	298	438	68.00	14.10		
1143	201	424	47.40	20.60		
1144	357	440	81.10	33.70		
1145	335	484	69.20	11.90		
1146	246	481	51.10	18.10		
1147	232	448	51.80	0.70		
1148	383	739	51.80	0.00	1	Match
1149	378	659	57.40	5.60		
1150	210	585	35.90	21.50		
1151	394	465	84.70	48.80		
1152	373	671	55.60	29.10		
1153	373	546	68.30	12.70		
1154	392	705	55.60	12.70		
1155	359	781	46.00	9.60		
1156	308	781	39.40	6.60		
1157	249	663	37.60	1.80		
1158	263	794	33.10	4.50		
1159	205	510	40.20	7.10		
1160	368	773	47.60	7.40		
1161	248	709	35.00	12.60		
1162	201	507	39.60	4.60		
1163	257	678	37.90	1.70		
1164	201	622	32.30	5.60		
1165	205	535	38.30	6.00		
1166	302	617	48.90	10.60		
1167	229	676	33.90	15.00		
1168	366	438	83.60	49.70		
1169	215	566	38.00	45.60		
1170	394	417	94.50	56.50		
1171	202	421	48.00	46.50		
1172	380	725	52.40	4.40		
1173	205	455	45.10	7.30		
1174	308	521	59.10	14.00		
1175	263	605	43.50	15.60		
1176	282	451	62.50	19.00		
1177	325	736	44.20	18.30		
1178	292	470	62.10	17.90		
1179	290	466	62.20	0.10		
1180	323	546	59.20	3.00		
1181	203	526	38.60	20.60		
1182	311	536	58.00	19.40		
1183	287	634	45.30	12.70		
1184	361	659	54.80	9.50		
1185	283	470	60.20	5.40		
1186	352	692	50.90	9.30		
1187	206	624	33.00	17.90		
1188	268	769	34.90	1.90		
1189	340	443	76.70	41.80		
1190	308	603	51.10	25.60		
1191	308	680	45.30	5.80		
1192	275	672	40.90	4.40		
1193	359	549	65.40	24.50		
1194	274	551	49.70	15.70		
1195	298	786	37.90	11.80		
1196	228	608	37.50	0.40		
1197	351	401	87.50	50.00		
1198	354	720	49.20	38.30		
1199	377	582	64.80	15.60		
1200	274	409	67.00	2.20		
1201	369	795	46.40	20.60		
1202	232	512	45.30	1.10		
1203	303	559	54.20	8.90		
1204	316	425	74.40	20.20		
1205	216	474	45.60	28.80		
1206	230	531	43.30	2.30		
1207	264	711	37.10	6.20		
1208	334	641	52.10	15.00		
1209	265	644	41.10	11.00		
1210	350	655	53.40	12.30		
1211	379	559	67.80	14.40		
1212	297	573	51.80	16.00		
1213	210	440	47.70	4.10		
1214	328	457	71.80	24.10		
1215	217	460	47.20	24.60		
1216	229	538	42.60	4.60		
1217	318	696	45.70	3.10		
1218	279	554	50.40	4.70		
1219	296	713	41.50	8.90		
1220	256	599	42.70	1.20		
1221	313	599	52.30	9.60		
1222	311	522	59.60	7.30		
1223	275	790	34.80	24.80		
1224	376	745	50.50	15.70		
1225	279	594	47.00	3.50		
1226	202	402	50.20	3.20		
1227	219	627	34.90	15.30		
1228	377	695	54.20	19.30		
1229	323	620	52.10	2.10		
1230	333	563	59.10	7.00		
1231	234	689	34.00	25.10		
1232	319	789	40.40	6.40		
1233	331	707	46.80	6.40		
1234	390	721	54.10	7.30		
1235	285	645	44.20	9.90		
1236	361	602	60.00	15.80		
1237	273	494	55.30	4.70		
1238	339	740	45.80	9.50		
1239	308	497	62.00	16.20		
1240	227	734	30.90	31.10		
1241	201	674	29.80	1.10		
1242	390	654	59.60	29.80		
1243	232	651	35.60	24.00		
1244	337	633	53.20	17.60		
1245	201	475	42.30	10.90		
1246	344	425	80.90	38.60		
1247	270	459	58.80	22.10		
1248	257	751	34.20	24.60		
1249	238	752	31.60	2.60		
1250	256	448	57.10	25.50		
1251	286	601	47.60	9.50		
1252	395	599	65.90	18.30		
1253	255	744	34.30	31.60		
1254	301	518	58.10	23.80		
1255	249	516	48.30	9.80		
1256	400	680	58.80	10.50		
1257	400	408	98.00	39.20		
1258	319	719	44.40	53.60		
1259	304	598	50.80	6.40		
1260	280	426	65.70	14.90		
1261	234	726	32.20	33.50		
1262	272	672	40.50	8.30		
1263	287	603	47.60	7.10		
1264	282	719	39.20	8.40		
1265	373	424	88.00	48.80		
1266	345	413	83.50	4.50		
1267	336	679	49.50	34.00		
1268	299	717	41.70	7.80		
1269	326	430	75.80	34.10		
1270	297	594	50.00	25.80		
1271	332	459	72.30	22.30		
1272	337	731	46.10	26.20		
1273	282	456	61.80	15.70		
1274	260	474	54.90	6.90		
1275	318	409	77.80	22.90		
1276	272	773	35.20	42.60		
1277	231	513	45.00	9.80		
1278	394	659	59.80	14.80		
1279	315	718	43.90	15.90		
1280	211	544	38.80	5.10		
1281	386	775	49.80	11.00		
1282	346	406	85.20	35.40		
1283	270	687	39.30	45.90		
1284	316	758	41.70	2.40		
1285	293	605	48.40	6.70		
1286	206	461	44.70	3.70		
1287	393	504	78.00	33.30		
1288	225	542	41.50	36.50		
1289	218	538	40.50	1.00		
1290	304	424	71.70	31.20		
1291	309	661	46.70	25.00		
1292	344	430	80.00	33.30		
1293	237	553	42.90	37.10		
1294	375	537	69.80	26.90		
1295	227	403	56.30	13.50		
1296	230	760	30.30	26.00		
1297	264	564	46.80	16.50		
1298	287	687	41.80	5.00		
1299	328	712	46.10	4.30		
1300	232	566	41.00	5.10		
1301	349	427	81.70	40.70		
1302	339	779	43.50	38.20		
1303	202	610	33.10	10.40		
1304	308	694	44.40	11.30		
1305	203	541	37.50	6.90		
1306	320	684	46.80	9.30		
1307	207	444	46.60	0.20		
1308	256	568	45.10	1.50		
1309	379	511	74.20	29.10		
1310	397	780	50.90	23.30		
1311	301	736	40.90	10.00		
1312	219	787	27.80	13.10		
1313	306	712	43.00	15.20		
1314	266	769	34.60	8.40		
1315	315	599	52.60	18.00		
1316	265	611	43.40	9.20		
1317	235	461	51.00	7.60		
1318	230	551	41.70	9.30		
1319	238	448	53.10	11.40		
1320	244	472	51.70	1.40		
1321	343	479	71.60	19.90		
1322	302	758	39.80	31.80		
1323	249	622	40.00	0.20		
1324	249	709	35.10	4.90		
1325	393	481	81.70	46.60		
1326	278	708	39.30	42.40		
1327	205	711	28.80	10.50		
1328	208	676	30.80	2.00		
1329	251	504	49.80	19.00		
1330	257	694	37.00	12.80		
1331	304	675	45.00	8.00		
1332	372	443	84.00	39.00		
1333	223	718	31.10	52.90		
1334	378	435	86.90	55.80		
1335	277	453	61.10	25.80		
1336	343	729	47.10	14.00		
1337	250	573	43.60	3.50		
1338	265	415	63.90	20.30		
1339	350	448	78.10	14.20		
1340	288	681	42.30	35.80		
1341	337	693	48.60	6.30		
1342	310	523	59.30	10.70		
1343	262	770	34.00	25.30		
1344	210	785	26.80	7.20		
1345	335	544	61.60	34.80		
1346	265	595	44.50	17.10		
1347	283	785	36.10	8.40		
1348	277	499	55.50	19.40		
1349	269	776	34.70	20.80		
1350	301	465	64.70	30.00		
1351	392	486	80.70	16.00		
1352	365	478	76.40	4.30		
1353	326	716	45.50	30.90		
1354	284	611	46.50	1.00		
1355	339	583	58.10	11.60		
1356	314	466	67.40	9.30		
1357	211	577	36.60	30.80		
1358	217	710	30.60	6.00		
1359	322	561	57.40	26.80		
1360	276	704	39.20	18.20		
1361	380	461	82.40	43.20		
1362	392	753	52.10	30.30		
1363	364	786	46.30	5.80		
1364	252	401	62.80	16.50		
1365	318	410	77.60	14.80		
1366	305	456	66.90	10.70		
1367	318	693	45.90	21.00		
1368	379	651	58.20	12.30		
1369	227	518	43.80	14.40		
1370	371	412	90.00	46.20		
1371	266	532	50.00	40.00		
1372	305	569	53.60	3.60		
1373	375	539	69.60	16.00		
1374	322	737	43.70	25.90		
1375	318	578	55.00	11.30		
1376	361	555	65.00	10.00		
1377	294	616	47.70	17.30		
1378	247	544	45.40	2.30		
1379	318	775	41.00	4.40		
1380	304	606	50.20	9.20		
1381	382	467	81.80	31.60		
1382	277	684	40.50	41.30		
1383	351	641	54.80	14.30		
1384	318	724	43.90	10.90		
1385	344	508	67.70	23.80		
1386	373	618	60.40	7.30		
1387	381	798	47.70	12.70		
1388	336	633	53.10	5.40		
1389	298	663	44.90	8.20		
1390	360	518	69.50	24.60		
1391	272	695	39.10	30.40		
1392	379	707	53.60	14.50		
1393	212	733	28.90	24.70		
1394	230	701	32.80	3.90		
1395	396	604	65.60	32.80		
1396	289	523	55.30	10.30		
1397	210	599	35.10	20.20		
1398	212	604	35.10	0.00	1	Match
1399	314	648	48.50	13.40		
1400	355	771	46.00	2.50		
1401	266	505	52.70	6.70		
1402	258	751	34.40	18.30		
1403	377	675	55.90	21.50		
1404	341	655	52.10	3.80		
1405	359	554	64.80	12.70		
1406	207	587	35.30	29.50		
1407	286	573	49.90	14.60		
1408	284	709	40.10	9.80		
1409	234	704	33.20	6.90		
1410	253	631	40.10	6.90		
1411	339	753	45.00	4.90		
1412	233	554	42.10	2.90		
1413	332	753	44.10	2.00		
1414	379	492	77.00	32.90		
1415	336	738	45.50	31.50		
1416	201	601	33.40	12.10		
1417	334	476	70.20	36.80		
1418	238	587	40.50	29.70		
1419	358	583	61.40	20.90		
1420	216	657	32.90	28.50		
1421	314	675	46.50	13.60		
1422	287	747	38.40	8.10		
1423	267	455	58.70	20.30		
1424	212	786	27.00	31.70		
1425	242	651	37.20	10.20		
1426	248	601	41.30	4.10		
1427	316	752	42.00	0.70		
1428	347	644	53.90	11.90		
1429	360	615	58.50	4.60		
1430	231	726	31.80	26.70		
1431	235	441	53.30	21.50		
1432	235	755	31.10	22.20		
1433	315	604	52.20	21.10		
1434	272	695	39.10	13.10		
1435	304	799	38.00	1.10		
1436	205	435	47.10	9.10		
1437	331	402	82.30	35.20		
1438	324	482	67.20	15.10		
1439	313	610	51.30	15.90		
1440	354	590	60.00	8.70		
1441	335	532	63.00	3.00		
1442	207	726	28.50	34.50		
1443	315	415	75.90	47.40		
1444	209	644	32.50	43.40		
1445	217	614	35.30	2.80		
1446	358	796	45.00	9.70		
1447	368	768	47.90	2.90		
1448	344	545	63.10	15.20		
1449	270	627	43.10	20.00		
1450	257	730	35.20	7.90		
1451	359	519	69.20	34.00		
1452	312	415	75.20	6.00		
1453	379	683	55.50	19.70		
1454	213	677	31.50	24.00		
1455	329	429	76.70	45.20		
1456	258	526	49.00	27.70		
1457	399	695	57.40	8.40		
1458	244	535	45.60	11.80		
1459	352	661	53.30	7.70		
1460	208	787	26.40	26.90		
1461	366	429	85.30	58.90		
1462	284	690	41.20	44.10		
1463	269	729	36.90	4.30		
1464	307	640	48.00	11.10		
1465	342	599	57.10	9.10		
1466	225	606	37.10	20.00		
1467	291	568	51.20	14.10		
1468	350	400	87.50	36.30		
1469	254	506	50.20	37.30		
1470	216	546	39.60	10.60		
1471	240	701	34.20	5.40		
1472	346	759	45.60	11.40		
1473	274	619	44.30	1.30		
1474	225	661	34.00	10.30		
1475	383	404	94.80	60.80		
1476	220	547	40.20	54.60		
1477	266	629	42.30	2.10		
1478	201	688	29.20	13.10		
1479	389	545	71.40	42.20		
1480	227	758	29.90	41.50		
1481	400	603	66.30	36.40		
1482	392	618	63.40	2.90		
1483	248	411	60.30	3.10		
1484	285	680	41.90	18.40		
1485	239	467	51.20	9.30		
1486	397	622	63.80	12.60		
1487	335	644	52.00	11.80		
1488	358	751	47.70	4.30		
1489	209	478	43.70	4.00		
1490	330	537	61.50	17.80		
1491	360	706	51.00	10.50		
1492	320	569	56.20	5.20		
1493	229	788	29.10	27.10		
1494	216	670	32.20	3.10		
1495	398	523	76.10	43.90		
1496	308	434	71.00	5.10		
1497	262	646	40.60	30.40		
1498	239	454	52.60	12.00		
1499	392	695	56.40	3.80		
1500	235	530	44.30	12.10		
1501	250	404	61.90	17.60		
1502	309	460	67.20	5.30		
1503	254	407	62.40	4.80		
1504	350	482	72.60	10.20		
1505	365	724	50.40	22.20		
1506	324	784	41.30	9.10		
1507	350	409	85.60	44.30		
1508	245	644	38.00	47.60		
1509	303	689	44.00	6.00		
1510	204	463	44.10	0.10		
1511	242	409	59.20	15.10		
1512	347	402	86.30	27.10		
1513	243	504	48.20	38.10		
1514	300	616	48.70	0.50		
1515	202	467	43.30	5.40		
1516	349	667	52.30	9.00		
1517	310	790	39.20	13.10		
1518	232	627	37.00	2.20		
1519	360	517	69.60	32.60		
1520	250	412	60.70	8.90		
1521	375	707	53.00	7.70		
1522	331	788	42.00	11.00		
1523	257	462	55.60	13.60		
1524	314	467	67.20	11.60		
1525	346	735	47.10	20.10		
1526	215	480	44.80	2.30		
1527	312	707	44.10	0.70		
1528	215	424	50.70	6.60		
1529	266	800	33.30	17.40		
1530	315	710	44.40	11.10		
1531	238	485	49.10	4.70		
1532	254	792	32.10	17.00		
1533	265	562	47.20	15.10		
1534	370	532	69.50	22.30		
1535	237	427	55.50	14.00		
1536	205	426	48.10	7.40		
1537	390	676	57.70	9.60		
1538	352	509	69.20	11.50		
1539	278	693	40.10	29.10		
1540	256	737	34.70	5.40		
1541	346	538	64.30	29.60		
1542	356	741	48.00	16.30		
1543	381	704	54.10	6.10		
1544	322	417	77.20	23.10		
1545	374	718	52.10	25.10		
1546	309	539	57.30	5.20		
1547	307	432	71.10	13.80		
1548	282	761	37.10	34.00		
1549	369	594	62.10	25.00		
1550	397	502	79.10	17.00		
1551	213	749	28.40	50.70		
1552	381	497	76.70	48.30		
1553	211	506	41.70	35.00		
1554	263	556	47.30	5.60		
1555	313	456	68.60	21.30		
1556	222	466	47.60	21.00		
1557	353	781	45.20	2.40		
1558	256	496	51.60	6.40		
1559	229	712	32.20	19.40		
1560	337	456	73.90	41.70		
1561	362	636	56.90	17.00		
1562	398	550	72.40	15.50		
1563	344	684	50.30	22.10		
1564	395	405	97.50	47.20		
1565	308	653	47.20	50.30		
1566	285	773	36.90	10.30		
1567	378	633	59.70	22.80		
1568	374	611	61.20	1.50		
1569	314	572	54.90	6.30		
1570	354	502	70.50	15.60		
1571	314	412	76.20	5.70		
1572	312	733	42.60	33.60		
1573	229	694	33.00	9.60		
1574	299	466	64.20	31.20		
1575	205	759	27.00	37.20		
1576	252	683	36.90	9.90		
1577	363	719	50.50	13.60		
1578	217	574	37.80	12.70		
1579	312	595	52.40	14.60		
1580	350	709	49.40	3.00		
1581	315	595	52.90	3.50		
1582	395	564	70.00	17.10		
1583	267	746	35.80	34.20		
1584	312	409	76.30	40.50		
1585	205	497	41.20	35.10		
1586	307	675	45.50	4.30		
1587	260	765	34.00	11.50		
1588	311	651	47.80	13.80		
1589	224	699	32.00	15.80		
1590	335	704	47.60	15.60		
1591	286	699	40.90	6.70		
1592	358	631	56.70	15.80		
1593	318	627	50.70	6.00		
1594	359	525	68.40	17.70		
1595	200	421	47.50	20.90		
1596	211	449	47.00	0.50		
1597	381	575	66.30	19.30		
1598	277	656	42.20	24.10		
1599	269	724	37.20	5.00		
1600	350	480	72.90	35.70		
1601	367	594	61.80	11.10		
1602	334	782	42.70	19.10		
1603	360	761	47.30	4.60		
1604	210	765	27.50	19.80		
1605	313	781	40.10	12.60		
1606	344	567	60.70	20.60		
1607	334	750	44.50	16.20		
1608	328	650	50.50	6.00		
1609	235	521	45.10	5.40		
1610	332	430	77.20	32.10		
1611	324	423	76.60	0.60		
1612	351	485	72.40	4.20		
1613	328	614	53.40	19.00		
1614	335	777	43.10	10.30		
1615	211	651	32.40	10.70		
1616	284	400	71.00	38.60		
1617	319	438	72.80	1.80		
1618	255	750	34.00	38.80		
1619	386	552	69.90	35.90		
1620	391	470	83.20	13.30		
1621	320	657	48.70	34.50		
1622	382	430	88.80	40.10		
1623	334	703	47.50	41.30		
1624	267	429	62.20	14.70		
1625	281	686	41.00	21.20		
1626	380	720	52.80	11.80		
1627	229	715	32.00	20.80		
1628	372	563	66.10	34.10		
1629	348	626	55.60	10.50		
1630	359	648	55.40	0.20		
1631	210	545	38.50	16.90		
1632	303	422	71.80	33.30		
1633	392	656	59.80	12.00		
1634	267	476	56.10	3.70		
1635	234	799	29.30	26.80		
1636	202	749	27.00	2.30		
1637	262	481	54.50	27.50		
1638	209	470	44.50	10.00		
1639	253	415	61.00	16.50		
1640	363	429	84.60	23.60		
1641	376	794	47.40	37.20		
1642	346	684	50.60	3.20		
1643	285	783	36.40	14.20		
1644	274	578	47.40	11.00		
1645	368	552	66.70	19.30		
1646	391	508	77.00	10.30		
1647	214	627	34.10	42.90		
1648	383	485	79.00	44.90		
1649	290	400	72.50	6.50		
1650	317	792	40.00	32.50		
1651	207	730	28.40	11.60		
1652	322	422	76.30	47.90		
1653	350	576	60.80	15.50		
1654	210	524	40.10	20.70		
1655	285	758	37.60	2.50		
1656	333	567	58.70	21.10		
1657	312	601	51.90	6.80		
1658	294	738	39.80	12.10		
1659	357	607	58.80	19.00		
1660	265	770	34.40	24.40		
1661	342	659	51.90	17.50		
1662	279	427	65.30	13.40		
1663	285	626	45.50	19.80		
1664	317	744	42.60	2.90		
1665	285	578	49.30	6.70		
1666	382	780	49.00	0.30		
1667	365	750	48.70	0.30		
1668	345	641	53.80	5.10		
1669	357	781	45.70	8.10		
1670	370	504	73.40	27.70		
1671	322	446	72.20	1.20		
1672	203	479	42.40	29.80		
1673	325	580	56.00	13.60		
1674	300	449	66.80	10.80		
1675	357	467	76.40	9.60		
1676	311	485	64.10	12.30		
1677	242	467	51.80	12.30		
1678	224	740	30.30	21.50		
1679	309	563	54.90	24.60		
1680	329	539	61.00	6.10		
1681	359	572	62.80	1.80		
1682	274	615	44.60	18.20		
1683	388	601	64.60	20.00		
1684	396	744	53.20	11.40		
1685	242	721	33.60	19.60		
1686	371	464	80.00	46.40		
1687	372	664	56.00	24.00		
1688	326	416	78.40	22.40		
1689	283	530	53.40	25.00		
1690	234	482	48.50	4.90		
1691	277	794	34.90	13.60		
1692	273	614	44.50	9.60		
1693	211	681	31.00	13.50		
1694	295	444	66.40	35.40		
1695	281	676	41.60	24.80		
1696	393	457	86.00	44.40		
1697	381	426	89.40	3.40		
1698	340	491	69.20	20.20		
1699	388	522	74.30	5.10		
1700	276	539	51.20	23.10		
1701	330	543	60.80	9.60		
1702	372	633	58.80	2.00		
1703	261	741	35.20	23.60		
1704	205	765	26.80	8.40		
1705	329	533	61.70	34.90		
1706	319	798	40.00	21.70		
1707	386	557	69.30	29.30		
1708	309	768	40.20	29.10		
1709	228	625	36.50	3.70		
1710	309	748	41.30	4.80		
1711	395	604	65.40	24.10		
1712	211	646	32.70	32.70		
1713	328	770	42.60	9.90		
1714	363	510	71.20	28.60		
1715	365	639	57.10	14.10		
1716	346	541	64.00	6.90		
1717	349	576	60.60	3.40		
1718	226	531	42.60	18.00		
1719	352	543	64.80	22.20		
1720	288	537	53.60	11.20		
1721	244	722	33.80	19.80		
1722	212	632	33.50	0.30		
1723	295	420	70.20	36.70		
1724	346	540	64.10	6.10		
1725	265	613	43.20	20.90		
1726	309	641	48.20	5.00		
1727	396	577	68.60	20.40		
1728	214	689	31.10	37.50		
1729	315	625	50.40	19.30		
1730	279	784	35.60	14.80		
1731	316	785	40.30	4.70		
1732	293	490	59.80	19.50		
1733	326	670	48.70	11.10		
1734	385	741	52.00	3.30		
1735	392	780	50.30	1.70		
1736	269	755	35.60	14.70		
1737	355	434	81.80	46.20		
1738	383	659	58.10	23.70		
1739	360	691	52.10	6.00		
1740	218	696	31.30	20.80		
1741	246	691	35.60	4.30		
1742	285	495	57.60	22.00		
1743	399	425	93.90	36.30		
1744	223	556	40.10	53.80		
1745	209	462	45.20	5.10		
1746	242	639	37.90	7.30		
1747	370	457	81.00	43.10		
1748	261	583	44.80	36.20		
1749	215	652	33.00	11.80		
1750	299	538	55.60	22.60		
1751	265	454	58.40	2.80		
1752	272	533	51.00	7.40		
1753	377	600	62.80	11.80		
1754	239	767	31.20	31.60		
1755	222	723	30.70	0.50		
1756	345	627	55.00	24.30		
1757	282	410	68.80	13.80		
1758	214	564	37.90	30.90		
1759	374	537	69.60	31.70		
1760	222	742	29.90	39.70		
1761	332	495	67.10	37.20		
1762	205	648	31.60	35.50		
1763	273	799	34.20	2.60		
1764	212	468	45.30	11.10		
1765	242	516	46.90	1.60		
1766	242	528	45.80	1.10		
1767	278	632	44.00	1.80		
1768	323	560	57.70	13.70		
1769	366	604	60.60	2.90		
1770	393	601	65.40	4.80		
1771	348	751	46.30	19.10		
1772	273	689	39.60	6.70		
1773	218	742	29.40	10.20		
1774	337	506	66.60	37.20		
1775	348	579	60.10	6.50		
1776	234	475	49.30	10.80		
1777	224	653	34.30	15.00		
1778	329	527	62.40	28.10		
1779	379	569	66.60	4.20		
1780	386	464	83.20	16.60		
1781	271	620	43.70	39.50		
1782	262	407	64.40	20.70		
1783	225	467	48.20	16.20		
1784	307	794	38.70	9.50		
1785	227	425	53.40	14.70		
1786	392	759	51.60	1.80		
1787	339	460	73.70	22.10		
1788	324	560	57.90	15.80		
1789	326	752	43.40	14.50		
1790	226	405	55.80	12.40		
1791	277	490	56.50	0.70		
1792	208	555	37.50	19.00		
1793	336	637	52.70	15.20		
1794	263	731	36.00	16.70		
1795	399	606	65.80	29.80		
1796	323	502	64.30	1.50		
1797	275	668	41.20	23.10		
1798	396	742	53.40	12.20		
1799	379	476	79.60	26.20		
1800	203	765	26.50	53.10		
1801	231	779	29.70	3.20		
1802	382	753	50.70	21.00		
1803	335	661	50.70	0.00	1	Match
1804	275	484	56.80	6.10		
1805	306	777	39.40	17.40		
1806	286	517	55.30	15.90		
1807	365	624	58.50	3.20		
1808	308	570	54.00	4.50		
1809	348	769	45.30	8.70		
1810	356	689	51.70	6.40		
1811	329	481	68.40	16.70		
1812	363	664	54.70	13.70		
1813	396	753	52.60	2.10		
1814	373	711	52.50	0.10		
1815	334	722	46.30	6.20		
1816	237	434	54.60	8.30		
1817	395	738	53.50	1.10		
1818	292	592	49.30	4.20		
1819	286	653	43.80	5.50		
1820	274	792	34.60	9.20		
1821	377	591	63.80	29.20		
1822	308	456	67.50	3.70		
1823	395	423	93.40	25.90		
1824	331	537	61.60	31.80		
1825	213	648	32.90	28.70		
1826	264	628	42.00	9.10		
1827	201	483	41.60	0.40		
1828	270	687	39.30	2.30		
1829	242	580	41.70	2.40		
1830	234	497	47.10	5.40		
1831	269	757	35.50	11.60		
1832	304	507	60.00	24.50		
1833	366	486	75.30	15.30		
1834	340	727	46.80	28.50		
1835	279	800	34.90	11.90		
1836	283	773	36.60	1.70		
1837	331	785	42.20	5.60		
1838	373	780	47.80	5.60		
1839	316	461	68.50	20.70		
1840	223	520	42.90	25.60		
1841	309	640	48.30	5.40		
1842	253	586	43.20	5.10		
1843	380	543	70.00	26.80		
1844	379	461	82.20	12.20		
1845	207	743	27.90	54.30		
1846	244	457	53.40	25.50		
1847	341	595	57.30	3.90		
1848	209	588	35.50	21.80		
1849	204	640	31.90	3.60		
1850	229	761	30.10	1.80		
1851	265	689	38.50	8.40		
1852	219	508	43.10	4.60		
1853	256	661	38.70	4.40		
1854	378	548	69.00	30.30		
1855	322	470	68.50	0.50		
1856	306	487	62.80	5.70		
1857	219	614	35.70	27.10		
1858	352	558	63.10	27.40		
1859	251	482	52.10	11.00		
1860	379	536	70.70	18.60		
1861	309	487	63.40	7.30		
1862	265	679	39.00	24.40		
1863	382	460	83.00	44.00		
1864	314	673	46.70	36.30		
1865	336	687	48.90	2.20		
1866	232	637	36.40	12.50		
1867	392	443	88.50	52.10		
1868	337	646	52.20	36.30		
1869	237	561	42.20	10.00		
1870	251	710	35.40	6.80		
1871	299	421	71.00	35.60		
1872	245	535	45.80	25.20		
1873	261	573	45.50	0.30		
1874	292	515	56.70	11.20		
1875	286	637	44.90	11.80		
1876	389	742	52.40	7.50		
1877	363	752	48.30	4.10		
1878	372	421	88.40	40.10		
1879	289	751	38.50	49.90		
1880	323	536	60.30	21.80		
1881	283	746	37.90	22.40		
1882	335	459	73.00	35.10		
1883	349	616	56.70	16.30		
1884	249	410	60.70	4.00		
1885	230	452	50.90	9.80		
1886	371	513	72.30	21.40		
1887	278	655	42.40	29.90		
1888	276	710	38.90	3.50		
1889	382	756	50.50	11.60		
1890	256	667	38.40	12.10		
1891	312	437	71.40	33.00		
1892	279	406	68.70	2.70		
1893	350	701	49.90	18.80		
1894	247	493	50.10	0.20		
1895	345	609	56.70	6.60		
1896	240	766	31.30	25.40		
1897	336	531	63.30	32.00		
1898	329	568	57.90	5.40		
1899	305	408	74.80	16.90		
1900	344	524	65.60	9.20		
1901	246	619	39.70	25.90		
1902	215	638	33.70	6.00		
1903	221	603	36.70	3.00		
1904	250	460	54.30	17.60		
1905	205	503	40.80	13.50		
1906	280	485	57.70	16.90		
1907	207	485	42.70	15.00		
1908	374	707	52.90	10.20		
1909	260	741	35.10	17.80		
1910	325	519	62.60	27.50		
1911	351	725	48.40	14.20		
1912	333	675	49.30	0.90		
1913	251	557	45.10	4.20		
1914	343	445	77.10	32.00		
1915	394	633	62.20	14.90		
1916	375	472	79.40	17.20		
1917	283	618	45.80	33.60		
1918	393	435	90.30	44.50		
1919	307	440	69.80	20.50		
1920	216	559	38.60	31.20		
1921	275	416	66.10	27.50		
1922	269	448	60.00	6.10		
1923	286	757	37.80	22.20		
1924	221	648	34.10	3.70		
1925	218	688	31.70	2.40		
1926	242	493	49.10	17.40		
1927	373	553	67.50	18.40		
1928	338	653	51.80	15.70		
1929	202	591	34.20	17.60		
1930	206	587	35.10	0.90		
1931	285	591	48.20	13.10		
1932	218	794	27.50	20.70		
1933	253	687	36.80	9.30		
1934	267	497	53.70	16.90		
1935	349	752	46.40	7.30		
1936	283	791	35.80	10.60		
1937	314	789	39.80	4.00		
1938	369	627	58.90	19.10		
1939	397	717	55.40	3.50		
1940	271	588	46.10	9.30		
1941	347	436	79.60	33.50		
1942	372	555	67.00	12.60		
1943	374	432	86.60	19.60		
1944	338	461	73.30	13.30		
1945	311	629	49.40	23.90		
1946	302	618	48.90	0.50		
1947	252	588	42.90	6.00		
1948	249	463	53.80	10.90		
1949	323	403	80.10	26.30		
1950	253	590	42.90	37.20		
1951	332	725	45.80	2.90		
1952	332	667	49.80	4.00		
1953	244	547	44.60	5.20		
1954	203	582	34.90	9.70		
1955	344	483	71.20	36.30		
1956	214	546	39.20	32.00		
1957	279	787	35.50	3.70		
1958	394	521	75.60	40.10		
1959	354	652	54.30	21.30		
1960	344	498	69.10	14.80		
1961	268	506	53.00	16.10		
1962	366	422	86.70	33.70		
1963	386	661	58.40	28.30		
1964	356	708	50.30	8.10		
1965	360	650	55.40	5.10		
1966	266	632	42.10	13.30		
1967	260	503	51.70	9.60		
1968	394	575	68.50	16.80		
1969	369	679	54.30	14.20		
1970	305	677	45.10	9.20		
1971	314	573	54.80	9.70		
1972	378	640	59.10	4.30		
1973	209	650	32.20	26.90		
1974	200	438	45.70	13.50		
1975	327	705	46.40	0.70		
1976	292	510	57.30	10.90		
1977	316	792	39.90	17.40		
1978	329	569	57.80	17.90		
1979	239	400	59.80	2.00		
1980	207	472	43.90	15.90		
1981	271	604	44.90	1.00		
1982	211	418	50.50	5.60		
1983	307	617	49.80	0.70		
1984	386	626	61.70	11.90		
1985	284	469	60.60	1.10		
1986	248	565	43.90	16.70		
1987	364	461	79.00	35.10		
1988	357	490	72.90	6.10		
1989	315	578	54.50	18.40		
1990	359	625	57.40	2.90		
1991	220	718	30.60	26.80		
1992	272	542	50.20	19.60		
1993	282	435	64.80	14.60		
1994	210	522	40.20	24.60		
1995	237	432	54.90	14.70		
1996	329	745	44.20	10.70		
1997	327	651	50.20	6.00		
1998	215	723	29.70	20.50		
1999	237	410	57.80	28.10		
2000	276	675	40.90	16.90		
2001	250	435	57.50	16.60		
2002	241	659	36.60	20.90		
2003	251	728	34.50	2.10		
2004	383	709	54.00	19.50		
2005	321	499	64.30	10.30		
2006	291	526	55.30	9.00		
2007	220	691	31.80	23.50		
2008	357	463	77.10	45.30		
2009	307	446	68.80	8.30		
2010	239	733	32.60	36.20		
2011	315	430	73.30	40.70		
2012	270	608	44.40	28.90		
2013	248	677	36.60	7.80		
2014	386	698	55.30	18.70		
2015	339	746	45.40	9.90		
2016	325	730	44.50	0.90		
2017	235	725	32.40	12.10		
2018	353	475	74.30	41.90		
2019	367	462	79.40	5.10		
2020	287	719	39.90	39.50		
2021	358	538	66.50	26.60		
2022	255	686	37.20	29.30		
2023	382	535	71.40	34.20		
2024	332	724	45.90	25.50		
2025	203	667	30.40	15.50		
2026	278	732	38.00	7.60		
2027	289	436	66.30	28.30		
2028	216	645	33.50	32.80		
2029	276	451	61.20	27.70		
2030	285	569	50.10	11.10		
2031	392	625	62.70	12.60		
2032	262	418	62.70	0.00	1	Match
2033	221	765	28.90	33.80		
2034	207	428	48.40	19.50		
2035	319	796	40.10	8.30		
2036	345	407	84.80	44.70		
2037	227	650	34.90	49.90		
2038	395	639	61.80	26.90		
2039	254	461	55.10	6.70		
2040	322	622	51.80	3.30		
2041	307	546	56.20	4.40		
2042	350	663	52.80	3.40		
2043	258	535	48.20	4.60		
2044	271	484	56.00	7.80		
2045	294	668	44.00	12.00		
2046	376	750	50.10	6.10		
2047	321	519	61.80	11.70		
2048	362	564	64.20	2.40		
2049	245	439	55.80	8.40		
2050	308	537	57.40	1.60		
2051	215	649	33.10	24.30		
2052	341	664	51.40	18.30		
2053	396	591	67.00	15.60		
2054	278	701	39.70	27.30		
2055	398	631	63.10	23.40		
2056	329	477	69.00	5.90		
2057	322	743	43.30	25.70		
2058	358	534	67.00	23.70		
2059	386	677	57.00	10.00		
2060	265	631	42.00	15.00		
2061	317	578	54.80	12.80		
2062	209	702	29.80	25.00		
2063	366	491	74.50	44.70		
2064	337	565	59.60	14.90		
2065	278	717	38.80	20.80		
2066	270	525	51.40	12.60		
2067	312	482	64.70	13.30		
2068	293	612	47.90	16.80		
2069	212	706	30.00	17.90		
2070	267	433	61.70	31.70		
2071	375	466	80.50	18.80		
2072	262	756	34.70	45.80		
2073	399	430	92.80	58.10		
2074	316	603	52.40	40.40		
2075	219	630	34.80	17.60		
2076	323	432	74.80	40.00		
2077	219	531	41.20	33.60		
2078	341	488	69.90	28.70		
2079	244	607	40.20	29.70		
2080	202	587	34.40	5.80		
2081	355	428	82.90	48.50		
2082	306	597	51.30	31.60		
2083	366	596	61.40	10.10		
2084	247	607	40.70	20.70		
2085	381	427	89.20	48.50		
2086	211	541	39.00	50.20		
2087	371	548	67.70	28.70		
2088	378	733	51.60	16.10		
2089	323	740	43.60	8.00		
2090	269	565	47.60	4.00		
2091	247	406	60.80	13.20		
2092	281	582	48.30	12.50		
2093	384	693	55.40	7.10		
2094	221	746	29.60	25.80		
2095	329	467	70.40	40.80		
2096	260	555	46.80	23.60		
2097	359	611	58.80	12.00		
2098	309	652	47.40	11.40		
2099	374	745	50.20	2.80		
2100	250	408	61.30	11.10		
2101	314	634	49.50	11.80		
2102	225	666	33.80	15.70		
2103	205	676	30.30	3.50		
2104	258	708	36.40	6.10		
2105	400	705	56.70	20.30		
2106	316	533	59.30	2.60		
2107	247	523	47.20	12.10		
2108	221	654	33.80	13.40		
2109	246	515	47.80	14.00		
2110	271	676	40.10	7.70		
2111	362	751	48.20	8.10		
2112	289	592	48.80	0.60		
2113	354	681	52.00	3.20		
2114	350	728	48.10	3.90		
2115	207	441	46.90	1.20		
2116	202	684	29.50	17.40		
2117	284	606	46.90	17.40		
2118	303	687	44.10	2.80		
2119	394	443	88.90	44.80		
2120	249	442	56.30	32.60		
2121	282	617	45.70	10.60		
2122	276	760	36.30	9.40		
2123	278	435	63.90	27.60		
2124	383	500	76.60	12.70		
2125	388	657	59.10	17.50		
2126	238	786	30.30	28.80		
2127	380	406	93.60	63.30		
2128	227	591	38.40	55.20		
2129	280	742	37.70	0.70		
2130	324	537	60.30	22.60		
2131	339	541	62.70	2.40		
2132	270	684	39.50	23.20		
2133	209	673	31.10	8.40		
2134	231	675	34.20	3.10		
2135	392	767	51.10	16.90		
2136	338	508	66.50	15.40		
2137	227	543	41.80	24.70		
2138	400	470	85.10	43.30		
2139	351	457	76.80	8.30		
2140	226	762	29.70	47.10		
2141	367	680	54.00	24.30		
2142	280	628	44.60	9.40		
2143	334	790	42.30	2.30		
2144	366	485	75.50	33.20		
2145	217	451	48.10	27.40		
2146	389	731	53.20	5.10		
2147	251	757	33.20	20.00		
2148	318	790	40.30	7.10		
2149	288	417	69.10	28.80		
2150	389	719	54.10	15.00		
2151	341	444	76.80	22.70		
2152	346	615	56.30	20.50		
2153	230	785	29.30	27.00		
2154	222	714	31.10	1.80		
2155	208	492	42.30	11.20		
2156	357	407	87.70	45.40		
2157	338	598	56.50	31.20		
2158	379	677	56.00	0.50		
2159	397	701	56.60	0.60		
2160	376	520	72.30	15.70		
2161	238	573	41.50	30.80		
2162	294	601	48.90	7.40		
2163	274	785	34.90	14.00		
2164	233	465	50.10	15.20		
2165	299	570	52.50	2.40		
2166	258	621	41.50	11.00		
2167	222	611	36.30	5.20		
2168	246	450	54.70	18.40		
2169	366	650	56.30	1.60		
2170	268	515	52.00	4.30		
2171	371	791	46.90	5.10		
2172	272	699	38.90	8.00		
2173	312	781	39.90	1.00		
2174	361	622	58.00	18.10		
2175	316	659	48.00	10.00		
2176	331	410	80.70	32.70		
2177	282	405	69.60	11.10		
2178	329	611	53.80	15.80		
2179	256	652	39.30	14.50		
2180	346	401	86.30	47.00		
2181	225	569	39.50	46.80		
2182	326	691	47.20	7.70		
2183	242	443	54.60	7.40		
2184	275	505	54.50	0.10		
2185	348	751	46.30	8.20		
2186	286	448	63.80	17.50		
2187	350	543	64.50	0.70		
2188	241	622	38.70	25.80		
2189	343	533	64.40	25.70		
2190	396	486	81.50	17.10		
2191	334	662	50.50	31.00		
2192	212	447	47.40	3.10		
2193	254	555	45.80	1.60		
2194	220	750	29.30	16.50		
2195	316	661	47.80	18.50		
2196	200	790	25.30	22.50		
2197	228	559	40.80	15.50		
2198	399	669	59.60	18.80		
2199	257	550	46.70	12.90		
2200	372	579	64.20	17.50		
2201	296	553	53.50	10.70		
2202	394	571	69.00	15.50		
2203	249	694	35.90	33.10		
2204	256	523	48.90	13.00		
2205	348	692	50.30	1.40		
2206	380	407	93.40	43.10		
2207	202	591	34.20	59.20		
2208	235	767	30.60	3.60		
2209	216	471	45.90	15.30		
2210	248	545	45.50	0.40		
2211	248	475	52.20	6.70		
2212	297	646	46.00	6.20		
2213	325	572	56.80	10.80		
2214	313	433	72.30	15.50		
2215	202	493	41.00	31.30		
2216	362	598	60.50	19.50		
2217	363	609	59.60	0.90		
2218	398	459	86.70	27.10		
2219	368	437	84.20	2.50		
2220	323	535	60.40	23.80		
2221	230	569	40.40	20.00		
2222	398	402	99.00	58.60		
2223	217	616	35.20	63.80		
2224	203	793	25.60	9.60		
2225	333	454	73.30	47.70		
2226	229	574	39.90	33.40		
2227	349	636	54.90	15.00		
2228	372	799	46.60	8.30		
2229	247	693	35.60	11.00		
2230	202	402	50.20	14.60		
2231	357	432	82.60	32.40		
2232	345	681	50.70	31.90		
2233	332	616	53.90	3.20		
2234	289	797	36.30	17.60		
2235	241	622	38.70	2.40		
2236	329	553	59.50	20.80		
2237	266	496	53.60	5.90		
2238	301	535	56.30	2.70		
2239	260	754	34.50	21.80		
2240	308	702	43.90	9.40		
2241	282	734	38.40	5.50		
2242	235	474	49.60	11.20		
2243	384	474	81.00	31.40		
2244	206	608	33.90	47.10		
2245	281	704	39.90	6.00		
2246	359	564	63.70	23.80		
2247	266	766	34.70	29.00		
2248	353	570	61.90	27.20		
2249	220	636	34.60	27.30		
2250	279	717	38.90	4.30		
2251	361	560	64.50	25.60		
2252	363	492	73.80	9.30		
2253	317	778	40.70	33.10		
2254	224	641	34.90	5.80		
2255	297	704	42.20	7.30		
2256	390	687	56.80	14.60		
2257	328	722	45.40	11.40		
2258	313	727	43.10	2.30		
2259	262	485	54.00	10.90		
2260	296	436	67.90	13.90		
2261	234	524	44.70	23.20		
2262	391	724	54.00	9.30		
2263	331	792	41.80	12.20		
2264	380	675	56.30	14.50		
2265	276	607	45.50	10.80		
2266	219	588	37.20	8.30		
2267	274	467	58.70	21.50		
2268	370	435	85.10	26.40		
2269	212	614	34.50	50.60		
2270	315	515	61.20	26.70		
2271	277	751	36.90	24.30		
2272	383	411	93.20	56.30		
2273	209	642	32.60	60.60		
2274	296	734	40.30	7.70		
2275	350	789	44.40	4.10		
2276	338	790	42.80	1.60		
2277	316	778	40.60	2.20		
2278	219	800	27.40	13.20		
2279	331	490	67.60	40.20		
2280	272	504	54.00	13.60		
2281	285	755	37.70	16.30		
2282	213	697	30.60	7.10		
2283	280	520	53.80	23.20		
2284	395	550	71.80	18.00		
2285	310	727	42.60	29.20		
2286	310	511	60.70	18.10		
2287	328	800	41.00	19.70		
2288	345	701	49.20	8.20		
2289	211	754	28.00	21.20		
2290	323	785	41.10	13.10		
2291	313	707	44.30	3.20		
2292	386	757	51.00	6.70		
2293	221	749	29.50	21.50		
2294	345	738	46.70	17.20		
2295	386	444	86.90	40.20		
2296	320	528	60.60	26.30		
2297	304	759	40.10	20.50		
2298	366	786	46.60	6.50		
2299	215	434	49.50	2.90		
2300	221	688	32.10	17.40		
2301	309	629	49.10	17.00		
2302	350	757	46.20	2.90		
2303	245	619	39.60	6.60		
2304	245	723	33.90	5.70		
2305	256	628	40.80	6.90		
2306	332	506	65.60	24.80		
2307	367	564	65.10	0.50		
2308	239	709	33.70	31.40		
2309	275	401	68.60	34.90		
2310	215	778	27.60	41.00		
2311	341	488	69.90	42.30		
2312	249	656	38.00	31.90		
2313	244	792	30.80	7.20		
2314	337	551	61.20	30.40		
2315	283	532	53.20	8.00		
2316	343	447	76.70	23.50		
2317	261	583	44.80	31.90		
2318	301	666	45.20	0.40		
2319	261	701	37.20	8.00		
2320	281	742	37.90	0.70		
2321	314	686	45.80	7.90		
2322	203	508	40.00	5.80		
2323	221	625	35.40	4.60		
2324	247	480	51.50	16.10		
2325	205	541	37.90	13.60		
2326	346	726	47.70	9.80		
2327	305	442	69.00	21.30		
2328	276	576	47.90	21.10		
2329	380	528	72.00	24.10		
2330	204	677	30.10	41.90		
2331	236	483	48.90	18.80		
2332	328	571	57.40	8.50		
2333	345	448	77.00	19.60		
2334	301	413	72.90	4.10		
2335	279	776	36.00	36.90		
2336	342	598	57.20	21.20		
2337	396	786	50.40	6.80		
2338	275	517	53.20	2.80		
2339	237	687	34.50	18.70		
2340	325	578	56.20	21.70		
2341	222	743	29.90	26.30		
2342	205	797	25.70	4.20		
2343	264	791	33.40	7.70		
2344	311	496	62.70	29.30		
2345	284	672	42.30	20.40		
2346	382	509	75.00	32.70		
2347	350	759	46.10	28.90		
2348	304	534	56.90	10.80		
2349	265	574	46.20	10.70		
2350	221	492	44.90	1.30		
2351	240	543	44.20	0.70		
2352	204	743	27.50	16.70		
2353	386	638	60.50	33.00		
2354	322	737	43.70	16.80		
2355	358	668	53.60	9.90		
2356	397	689	57.60	4.00		
2357	209	436	47.90	9.70		
2358	227	661	34.30	13.60		
2359	287	498	57.60	23.30		
2360	385	763	50.50	7.10		
2361	300	716	41.90	8.60		
2362	277	656	42.20	0.30		
2363	241	784	30.70	11.50		
2364	355	467	76.00	45.30		
2365	260	632	41.10	34.90		
2366	237	643	36.90	4.20		
2367	310	517	60.00	23.10		
2368	217	630	34.40	25.60		
2369	335	728	46.00	11.60		
2370	272	567	48.00	2.00	
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Iceburg Donating Member (1000+ posts) Send PM | Profile | Ignore Sat Apr-09-05 08:07 AM
Response to Reply #194
195. If the distribution of the ratio "votes/registration" is not normal
does that alter the probability of a match?
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Iceburg Donating Member (1000+ posts) Send PM | Profile | Ignore Sat Apr-09-05 09:07 AM
Response to Reply #195
196. Normalcy test results ...
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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Sat Apr-09-05 10:06 AM
Response to Reply #196
198. Link
Edited on Sat Apr-09-05 10:06 AM by adolfo
You can see the calculated ratios here:

http://www.recountflorida.com/ivrs_precincts.php?county...

Click on "View raw data" for the precinct totals and voter stats.



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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Sat Apr-09-05 09:08 AM
Response to Reply #194
197. Should be easy to come up with more twins
Edited on Sat Apr-09-05 09:28 AM by adolfo
TIA,

That should be very easy to get. Some of the counties listed on the recountflorida.com web site do not have the actual book closing voter stats. Without it, we won't know if there are more twins. Lets see what happens when we correct that.

Have you noticed that almost every single example favors Reps? Not always ending up with more votes but in ratio. Probably to compensate for high democratic areas.
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Sat Apr-09-05 10:34 AM
Response to Reply #197
199. Simulations: 150-300 votes; 200-400 reg: prob (>=14)= 1 in 13000
Edited on Sat Apr-09-05 10:37 AM by TruthIsAll
	Vote	Registration				
High	300	400				
Low	150	200				
			Pct	Diff		
AVG	224	298	78.21	24.73		
MAX	300	400	149.00	101.80		
MIN	150	200	37.60	0.00		
Diff	150	200	111.40	101.80		
						
Sim Matches=4
Prob = 4/3800 or 1 in 950		
Prob Match(>= 14) = 0.000075 or 1 in 13263		

Criterion: Match to within .09					
						
Prct	Vote	Reg	Pct	Diff	MATCH
1325	165	338	48.8	0.0	1	Match
2188	265	318	83.3	0.0	1	Match
3563	164	254	64.6	0.0	1	Match
3598	237	382	62.0	0.0	1	Match

Simulation match =4
Prob (match)>=N
N	
1	98.17%
2	90.85%
3	76.21%
4	56.66%
5	37.12%
6	21.48%
7	11.06%
8	5.10%
9	2.13%
10	0.81%
11	0.28%
12	0.09%
13	0.03%
	
14	0.008%

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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Sat Apr-09-05 11:16 AM
Response to Reply #199
200. Widening the range: Votes 100-300; Reg 200-600 (4 matches)
Edited on Sat Apr-09-05 11:30 AM by TruthIsAll
	Vote	Register				
High	300	600				
Low	100	200				
			pct	Diff		
AVG	199	396	55.15	26.61		
MAX	300	600	145.40	121.90		
MIN	100	200	16.80	0.00		
Diff	200	400	128.60	121.90		
						
Sim Match	4	0.001053	 or 1 in	950		
Probability(>=14)	0.000075	 or 1 in	13263		
						
						
Prct	Vote	Reg	Pct	Diff	MATCH <.09	
226	199	390	51.0	0.0	1	Match
1313	187	288	64.9	0.0	1	Match
1782	172	408	42.2	0.0	1	Match
2675	229	380	60.3	0.0	1	Match
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Sat Apr-09-05 11:19 AM
Response to Reply #200
201. V 100-300; R 200-800: 5 matches
Edited on Sat Apr-09-05 11:29 AM by TruthIsAll
	Vote	Register				
High	300	800				
Low	100	200				
			Pct	Diff		
AVG	201	498	46.62	25.70		
MAX	300	800	148.30	126.60		
MIN	100	200	12.60	0.00		
Diff	200	600	135.70	126.60		
						
Sim Matches:5 (1 in 760)		

Probability(>=14)= 0.000691
or 1 in 1447		
						
						0.09
Prct	Vote	Reg	Pct	Diff	MATCH 
982	266	597	44.6	0.0	1	Match
1132	118	363	32.5	0.0	1	Match
1677	179	490	36.5	0.0	1	Match
2061	134	319	42.0	0.0	1	Match
3676	143	522	27.4	0.0	1	Match

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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Sat Apr-09-05 11:27 AM
Response to Reply #201
202. Votes: 100-400; Reg: 200-1200; 7 matches
Edited on Sat Apr-09-05 11:27 AM by TruthIsAll
	Vote	Register				
High	400	1200				
Low	100	200				
			pct	Diff		
AVG	251	697	45.32	31.15		
MAX	400	1200	196.00	178.90		
MIN	100	200	8.40	0.00		
Diff	300	1000	187.60	178.90		
						
Sim Matches=7 (1 in 543)	
Probability(>=14) =0.012733  (1 in 79)
						
						0.09
Prc	Vote	Reg	Pct	Diff	MATCH 
394	151	567	26.6	0.0	1	Match
892	350	861	40.7	0.0	1	Match
1077	274	1109	24.7	0.0	1	Match
1971	151	399	37.8	0.0	1	Match
3076	101	990	10.2	0.0	1	Match
3510	215	939	22.9	0.0	1	Match
3786	349	936	37.3	0.0	1	Match
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Sat Apr-09-05 11:54 AM
Response to Reply #202
203. One last time: to show all precincts up to the first match..
	Vote	Register				
High	400	1200				
Low	100	200				
			PCT	Diff		
AVG	253	690	46.2	31.4		
MAX	400	1200	192.0	173.6		
MIN	100	200	8.5	0.0		
Diff	300	1000	183.5	173.6		
						
Sim Matches:4 (1 in 950)
Probability (>=14):  1 in 13263	


Prct	Vote	Reg	Pct	Diff	
79	270	1051	25.7	0.0	1	Match
2060	357	845	42.2	0.0	1	Match
2576	371	730	50.8	0.0	1	Match
3553	262	668	39.2	0.0	1	Match
	
						
						
Prct	Vote	Reg	Pct	Diff	MATCH 
1	232	921	25.2			
2	127	779	16.3	8.9		
3	283	375	75.5	59.2		
4	160	896	17.9	57.6		
5	391	371	105.4	87.5		
6	205	611	33.6	71.8		
7	281	743	37.8	4.2		
8	256	467	54.8	17.0		
9	267	1028	26.0	28.8		
10	219	426	51.4	25.4		
11	246	282	87.2	35.8		
12	325	1183	27.5	59.7		
13	281	851	33.0	5.5		
14	348	739	47.1	14.1		
15	170	766	22.2	24.9		
16	325	495	65.7	43.5		
17	125	683	18.3	47.4		
18	312	942	33.1	14.8		
19	306	242	126.4	93.3		
20	264	1081	24.4	102.0		
21	132	1177	11.2	13.2		
22	264	1142	23.1	11.9		
23	353	992	35.6	12.5		
24	120	597	20.1	15.5		
25	222	1116	19.9	0.2		
26	124	1145	10.8	9.1		
27	377	836	45.1	34.3		
28	366	986	37.1	8.0		
29	366	1145	32.0	5.1		
30	127	378	33.6	1.6		
31	169	467	36.2	2.6		
32	360	551	65.3	29.1		
33	237	559	42.4	22.9		
34	101	1016	9.9	32.5		
35	206	286	72.0	62.1		
36	277	528	52.5	19.5		
37	249	662	37.6	14.9		
38	281	901	31.2	6.4		
39	123	645	19.1	12.1		
40	352	381	92.4	73.3		
41	342	917	37.3	55.1		
42	348	984	35.4	1.9		
43	400	269	148.7	113.3		
44	248	849	29.2	119.5		
45	163	439	37.1	7.9		
46	223	1078	20.7	16.4		
47	264	1002	26.3	5.6		
48	232	438	53.0	26.7		
49	276	1085	25.4	27.6		
50	275	1148	24.0	1.4		
51	373	876	42.6	18.6		
52	246	945	26.0	16.6		
53	349	268	130.2	104.2		
54	195	902	21.6	108.6		
55	327	917	35.7	14.1		
56	191	1056	18.1	17.6		
57	204	724	28.2	10.1		
58	303	844	35.9	7.7		
59	357	242	147.5	111.6		
60	265	357	74.2	73.3		
61	275	1175	23.4	50.8		
62	389	470	82.8	59.4		
63	302	577	52.3	30.5		
64	117	1033	11.3	41.0		
65	337	328	102.7	91.4		
66	386	705	54.8	47.9		
67	187	486	38.5	16.3		
68	344	724	47.5	9.0		
69	120	1057	11.4	36.1		
70	342	1114	30.7	19.3		
71	230	1024	22.5	8.2		
72	381	611	62.4	39.9		
73	299	557	53.7	8.7		
74	388	872	44.5	9.2		
75	362	336	107.7	63.2		
76	168	321	52.3	55.4		
77	197	308	64.0	11.7		
78	307	1193	25.7	38.3		
79	270	1051	25.7	0.0	1	Match
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Iceburg Donating Member (1000+ posts) Send PM | Profile | Ignore Sat Apr-09-05 01:07 PM
Response to Reply #203
204. If the distribution of the ratio "votes/registration" is not normal
how applicable is the binomial probability function?

I just looked at Dade county since it had 3 matches.
It turns out that the ratio of "votes/registration" distribution (for both parties) is not normal (by standard statistical tests) in Dade county. Further the republican IQR is only 22.6% (Dem is 18.5%)with:

Percentiles
25th 60.00%
75th 82.60%

Consider only the republican IQR for a moment:
With an total n = 749, (m ~375 in the IQR), a 25th percentile=60.0 and the 75th percentile ~ 83, that means that we have approximately 230 possible outcomes: 60.0, 60.1, 60.2, ... 82.9, 83.0.
So for 50% of the datapoints in Dade we have 230 values and ~375 adjacent pairs. Would you not expect at least one of adjacent those pairs to match? Further, if there is some neighborhood factor built into the pct numbers then we are increasing the probability that some adjacent pairs will match.

Perhaps I am missing something as I claim to be no expert but my common sense tells me that the poster's findings are well within the range of what one would expect.

Specifically, I have trouble with:
a) comparing the output from random simulation with non-random data; and
b) using a parametric statistical function on a distribution that is either known to be non-normal, or not known to be normal.

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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Mon Apr-11-05 02:27 PM
Response to Reply #204
206. I never assumed a normal distribution; it is uniform.
The simulation matches what one would expect intuitively.

The problem is that the real world observation of 14 matches far exceeds the expected number of matches. There is a finite probability based on the range tested

Am I missing something here, Iceburg?

The Binomial distribution, not the Normal, is used to calculate the probability of exceeding the expected number of matches, by a given amount. The input probability is a function of the range, say 1 out of 400. We should expect 3800/400 matches = 9 matches. But the observation so far yields 14 - and we are not even done counting.

If the actual number far exceeds the expected, the question is why?





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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 09:43 PM
Response to Reply #84
90. In each of 100 simulation trials, an avg 6 of 1900 matched to within .1%
Edited on Wed Apr-06-05 10:39 PM by TruthIsAll
In Excel, use the RANDBETWEEN (LOW,HIGH) FUNCTION FOR THE
SAMPLE PRECINCT VOTES AND REGISTRATION RANGES.

100 SIMULATIONS YIELDED an average of 6 matches, with a
maximum of 10. This one gave 9.

No way you can get 14 matches.


	Vote	Register				
High	500	1000				
Low	100	500				
RandBetween(High,Low)						
average	301.90	746.22	0.42	42.02	20.58	9
						
Prct	Vote	Reg	Ratio	Pct	Diff	MATCH?

						
1	460	542	0.849	84.87		
2	118	924	0.128	12.77	72.10	
3	306	605	0.506	50.58	37.81	
4	117	565	0.207	20.71	29.87	
5	348	512	0.680	67.97	47.26	
6	172	849	0.203	20.26	47.71	
7	468	982	0.477	47.66	27.40	
8	119	533	0.223	22.33	25.33	
9	143	970	0.147	14.74	7.58	
10	217	532	0.408	40.79	26.05	
11	194	726	0.267	26.72	14.07	
12	465	934	0.498	49.79	23.06	
13	445	798	0.558	55.76	5.98	
14	334	516	0.647	64.73	8.96	
15	213	868	0.245	24.54	40.19	
16	114	623	0.183	18.30	6.24	
17	468	721	0.649	64.91	46.61	
18	489	787	0.621	62.13	2.78	
19	267	507	0.527	52.66	9.47	
20	356	578	0.616	61.59	8.93	
21	360	607	0.593	59.31	2.28	
22	357	904	0.395	39.49	19.82	
23	145	1000	0.145	14.50	24.99	
24	161	876	0.184	18.38	3.88	
25	244	700	0.349	34.86	16.48	
26	219	880	0.249	24.89	9.97	
27	442	744	0.594	59.41	34.52	
28	243	869	0.280	27.96	31.45	
29	443	756	0.586	58.60	30.63	
30	458	798	0.574	57.39	1.20	
31	378	762	0.496	49.61	7.79	
32	101	749	0.135	13.48	36.12	
33	300	591	0.508	50.76	37.28	
34	187	716	0.261	26.12	24.64	
35	226	615	0.367	36.75	10.63	
36	255	985	0.259	25.89	10.86	
37	490	737	0.665	66.49	40.60	
38	374	866	0.432	43.19	23.30	
39	238	674	0.353	35.31	7.88	
40	331	818	0.405	40.46	5.15	
41	220	969	0.227	22.70	17.76	
42	134	772	0.174	17.36	5.35	
43	169	663	0.255	25.49	8.13	
44	136	577	0.236	23.57	1.92	
45	165	834	0.198	19.78	3.79	
46	410	971	0.422	42.22	22.44	
47	133	591	0.225	22.50	19.72	
48	159	769	0.207	20.68	1.83	
49	377	753	0.501	50.07	29.39	
50	244	758	0.322	32.19	17.88	
51	288	968	0.298	29.75	2.44	
52	368	843	0.437	43.65	13.90	
53	298	863	0.345	34.53	9.12	
54	247	839	0.294	29.44	5.09	
55	264	748	0.353	35.29	5.85	
56	428	832	0.514	51.44	16.15	
57	383	800	0.479	47.88	3.57	
58	375	552	0.679	67.93	20.06	
59	162	834	0.194	19.42	48.51	
60	329	856	0.384	38.43	19.01	
61	140	813	0.172	17.22	21.21	
62	197	785	0.251	25.10	7.88	
63	404	902	0.448	44.79	19.69	
64	499	640	0.780	77.97	33.18	
65	198	916	0.216	21.62	56.35	
66	337	976	0.345	34.53	12.91	
67	464	532	0.872	87.22	52.69	
68	486	618	0.786	78.64	8.58	
69	271	587	0.462	46.17	32.47	
70	185	517	0.358	35.78	10.38	
71	285	619	0.460	46.04	10.26	
72	368	702	0.524	52.42	6.38	
73	399	611	0.653	65.30	12.88	
74	296	710	0.417	41.69	23.61	
75	172	647	0.266	26.58	15.11	
76	287	667	0.430	43.03	16.44	
77	361	873	0.414	41.35	1.68	
78	497	989	0.503	50.25	8.90	
79	147	691	0.213	21.27	28.98	
80	237	829	0.286	28.59	7.32	
81	321	696	0.461	46.12	17.53	
82	346	935	0.370	37.01	9.12	
83	218	523	0.417	41.68	4.68	
84	477	559	0.853	85.33	43.65	
85	439	642	0.684	68.38	16.95	
86	135	993	0.136	13.60	54.78	
87	209	548	0.381	38.14	24.54	
88	182	581	0.313	31.33	6.81	
89	315	591	0.533	53.30	21.97	
90	225	994	0.226	22.64	30.66	
91	400	524	0.763	76.34	53.70	
92	496	558	0.889	88.89	12.55	
93	365	711	0.513	51.34	37.55	
94	326	626	0.521	52.08	0.74	
95	213	589	0.362	36.16	15.91	
96	407	596	0.683	68.29	32.13	
97	230	608	0.378	37.83	30.46	
98	241	553	0.436	43.58	5.75	
99	167	555	0.301	30.09	13.49	
100	185	918	0.202	20.15	9.94	
101	309	862	0.358	35.85	15.69	
102	246	985	0.250	24.97	10.87	
103	340	835	0.407	40.72	15.74	
104	214	879	0.243	24.35	16.37	
105	254	873	0.291	29.10	4.75	
106	331	883	0.375	37.49	8.39	
107	444	914	0.486	48.58	11.09	
108	324	685	0.473	47.30	1.28	
109	251	524	0.479	47.90	0.60	
110	103	505	0.204	20.40	27.50	
111	397	549	0.723	72.31	51.92	
112	401	622	0.645	64.47	7.84	
113	243	895	0.272	27.15	37.32	
114	369	572	0.645	64.51	37.36	
115	330	551	0.599	59.89	4.62	
116	410	524	0.782	78.24	18.35	
117	281	683	0.411	41.14	37.10	
118	431	688	0.626	62.65	21.50	
119	230	592	0.389	38.85	23.79	
120	476	707	0.673	67.33	28.48	
121	219	734	0.298	29.84	37.49	
122	371	950	0.391	39.05	9.22	
123	361	612	0.590	58.99	19.93	
124	329	505	0.651	65.15	6.16	
125	113	854	0.132	13.23	51.92	
126	338	986	0.343	34.28	21.05	
127	262	786	0.333	33.33	0.95	
128	261	571	0.457	45.71	12.38	
129	408	922	0.443	44.25	1.46	
130	118	711	0.166	16.60	27.66	
131	137	760	0.180	18.03	1.43	
132	290	754	0.385	38.46	20.44	
133	103	858	0.120	12.00	26.46	
134	115	606	0.190	18.98	6.97	
135	435	670	0.649	64.93	45.95	
136	215	545	0.394	39.45	25.48	
137	225	538	0.418	41.82	2.37	
138	151	720	0.210	20.97	20.85	
139	336	564	0.596	59.57	38.60	
140	109	931	0.117	11.71	47.87	
141	380	697	0.545	54.52	42.81	
142	158	762	0.207	20.73	33.78	
143	388	513	0.756	75.63	54.90	
144	399	894	0.446	44.63	31.00	
145	385	737	0.522	52.24	7.61	
146	192	510	0.376	37.65	14.59	
147	205	576	0.356	35.59	2.06	
148	331	824	0.402	40.17	4.58	
149	112	751	0.149	14.91	25.26	
150	317	900	0.352	35.22	20.31	
151	311	654	0.476	47.55	12.33	
152	124	989	0.125	12.54	35.02	
153	342	658	0.520	51.98	39.44	
154	214	735	0.291	29.12	22.86	
155	126	865	0.146	14.57	14.55	
156	483	823	0.587	58.69	44.12	
157	139	875	0.159	15.89	42.80	
158	254	660	0.385	38.48	22.60	
159	268	691	0.388	38.78	0.30	
160	499	973	0.513	51.28	12.50	
161	121	693	0.175	17.46	33.82	
162	283	690	0.410	41.01	23.55	
163	241	836	0.288	28.83	12.19	
164	347	956	0.363	36.30	7.47	
165	306	953	0.321	32.11	4.19	
166	396	812	0.488	48.77	16.66	
167	230	517	0.445	44.49	4.28	
168	225	671	0.335	33.53	10.96	
169	403	826	0.488	48.79	15.26	
170	495	812	0.610	60.96	12.17	
171	415	535	0.776	77.57	16.61	
172	208	581	0.358	35.80	41.77	
173	295	541	0.545	54.53	18.73	
174	490	670	0.731	73.13	18.61	
175	207	721	0.287	28.71	44.42	
176	280	676	0.414	41.42	12.71	
177	249	952	0.262	26.16	15.26	
178	308	525	0.587	58.67	32.51	
179	114	996	0.114	11.45	47.22	
180	461	913	0.505	50.49	39.05	
181	470	603	0.779	77.94	27.45	
182	377	670	0.563	56.27	21.67	
183	163	740	0.220	22.03	34.24	
184	369	614	0.601	60.10	38.07	
185	183	666	0.275	27.48	32.62	
186	462	868	0.532	53.23	25.75	
187	216	591	0.365	36.55	16.68	
188	209	778	0.269	26.86	9.68	
189	399	635	0.628	62.83	35.97	
190	480	827	0.580	58.04	4.79	
191	346	938	0.369	36.89	21.15	
192	128	815	0.157	15.71	21.18	
193	415	691	0.601	60.06	44.35	
194	160	555	0.288	28.83	31.23	
195	142	924	0.154	15.37	13.46	
196	324	778	0.416	41.65	26.28	
197	476	548	0.869	86.86	45.22	
198	314	942	0.333	33.33	53.53	
199	194	889	0.218	21.82	11.51	
200	438	783	0.559	55.94	34.12	
201	363	727	0.499	49.93	6.01	
202	480	790	0.608	60.76	10.83	
203	117	955	0.123	12.25	48.51	
204	366	540	0.678	67.78	55.53	
205	497	729	0.682	68.18	0.40	
206	172	909	0.189	18.92	49.25	
207	419	603	0.695	69.49	50.56	
208	343	977	0.351	35.11	34.38	
209	479	661	0.725	72.47	37.36	
210	310	695	0.446	44.60	27.86	
211	400	897	0.446	44.59	0.01	MATCH
212	319	777	0.411	41.06	3.54	
213	209	656	0.319	31.86	9.20	
214	389	793	0.491	49.05	17.19	
215	392	926	0.423	42.33	6.72	
216	358	825	0.434	43.39	1.06	
217	224	558	0.401	40.14	3.25	
218	172	880	0.195	19.55	20.60	
219	308	645	0.478	47.75	28.21	
220	306	669	0.457	45.74	2.01	
221	187	504	0.371	37.10	8.64	
222	212	613	0.346	34.58	2.52	
223	336	799	0.421	42.05	7.47	
224	232	888	0.261	26.13	15.93	
225	359	510	0.704	70.39	44.27	
226	383	605	0.633	63.31	7.09	
227	243	551	0.441	44.10	19.20	
228	479	753	0.636	63.61	19.51	
229	181	518	0.349	34.94	28.67	
230	320	588	0.544	54.42	19.48	
231	268	847	0.316	31.64	22.78	
232	396	725	0.546	54.62	22.98	
233	299	770	0.388	38.83	15.79	
234	137	804	0.170	17.04	21.79	
235	118	584	0.202	20.21	3.17	
236	354	520	0.681	68.08	47.87	
237	273	595	0.459	45.88	22.19	
238	309	852	0.363	36.27	9.61	
239	476	704	0.676	67.61	31.35	
240	106	709	0.150	14.95	52.66	
241	366	812	0.451	45.07	30.12	
242	357	765	0.467	46.67	1.59	
243	368	699	0.526	52.65	5.98	
244	124	745	0.166	16.64	36.00	
245	128	713	0.180	17.95	1.31	
246	107	770	0.139	13.90	4.06	
247	380	629	0.604	60.41	46.52	
248	319	579	0.551	55.09	5.32	
249	175	813	0.215	21.53	33.57	
250	258	797	0.324	32.37	10.85	
251	418	841	0.497	49.70	17.33	
252	401	805	0.498	49.81	0.11	
253	346	634	0.546	54.57	4.76	
254	434	565	0.768	76.81	22.24	
255	209	931	0.224	22.45	54.37	
256	252	986	0.256	25.56	3.11	
257	295	940	0.314	31.38	5.83	
258	289	529	0.546	54.63	23.25	
259	447	819	0.546	54.58	0.05	MATCH
260	178	752	0.237	23.67	30.91	
261	219	596	0.367	36.74	13.07	
262	367	732	0.501	50.14	13.39	
263	279	763	0.366	36.57	13.57	
264	269	512	0.525	52.54	15.97	
265	449	639	0.703	70.27	17.73	
266	405	810	0.500	50.00	20.27	
267	474	950	0.499	49.89	0.11	
268	329	573	0.574	57.42	7.52	
269	192	568	0.338	33.80	23.61	
270	269	726	0.371	37.05	3.25	
271	355	842	0.422	42.16	5.11	
272	169	628	0.269	26.91	15.25	
273	246	542	0.454	45.39	18.48	
274	294	837	0.351	35.13	10.26	
275	402	530	0.758	75.85	40.72	
276	304	505	0.602	60.20	15.65	
277	216	888	0.243	24.32	35.87	
278	151	903	0.167	16.72	7.60	
279	484	857	0.565	56.48	39.75	
280	142	799	0.178	17.77	38.70	
281	377	935	0.403	40.32	22.55	
282	276	607	0.455	45.47	5.15	
283	384	827	0.464	46.43	0.96	
284	401	837	0.479	47.91	1.48	
285	116	614	0.189	18.89	29.02	
286	232	813	0.285	28.54	9.64	
287	214	952	0.225	22.48	6.06	
288	189	937	0.202	20.17	2.31	
289	264	585	0.451	45.13	24.96	
290	343	736	0.466	46.60	1.48	
291	284	619	0.459	45.88	0.72	
292	293	776	0.378	37.76	8.12	
293	368	580	0.634	63.45	25.69	
294	306	918	0.333	33.33	30.11	
295	188	953	0.197	19.73	13.61	
296	399	549	0.727	72.68	52.95	
297	405	635	0.638	63.78	8.90	
298	163	736	0.221	22.15	41.63	
299	259	997	0.260	25.98	3.83	
300	469	818	0.573	57.33	31.36	
301	385	647	0.595	59.51	2.17	
302	186	539	0.345	34.51	25.00	
303	434	540	0.804	80.37	45.86	
304	367	748	0.491	49.06	31.31	
305	353	579	0.610	60.97	11.90	
306	451	918	0.491	49.13	11.84	
307	336	640	0.525	52.50	3.37	
308	457	518	0.882	88.22	35.72	
309	447	875	0.511	51.09	37.14	
310	327	502	0.651	65.14	14.05	
311	101	811	0.125	12.45	52.69	
312	460	652	0.706	70.55	58.10	
313	329	502	0.655	65.54	5.01	
314	256	829	0.309	30.88	34.66	
315	375	811	0.462	46.24	15.36	
316	486	878	0.554	55.35	9.11	
317	257	781	0.329	32.91	22.45	
318	217	785	0.276	27.64	5.26	
319	144	823	0.175	17.50	10.15	
320	155	803	0.193	19.30	1.81	
321	357	928	0.385	38.47	19.17	
322	445	566	0.786	78.62	40.15	
323	357	817	0.437	43.70	34.93	
324	452	952	0.475	47.48	3.78	
325	261	627	0.416	41.63	5.85	
326	347	892	0.389	38.90	2.73	
327	140	989	0.142	14.16	24.75	
328	101	959	0.105	10.53	3.62	
329	405	890	0.455	45.51	34.97	
330	140	557	0.251	25.13	20.37	
331	440	601	0.732	73.21	48.08	
332	456	760	0.600	60.00	13.21	
333	133	544	0.244	24.45	35.55	
334	135	547	0.247	24.68	0.23	
335	487	704	0.692	69.18	44.50	
336	270	615	0.439	43.90	25.27	
337	424	949	0.447	44.68	0.78	
338	369	633	0.583	58.29	13.62	
339	257	967	0.266	26.58	31.72	
340	227	563	0.403	40.32	13.74	
341	188	928	0.203	20.26	20.06	
342	407	796	0.511	51.13	30.87	
343	118	589	0.200	20.03	31.10	
344	296	640	0.463	46.25	26.22	
345	153	906	0.169	16.89	29.36	
346	365	772	0.473	47.28	30.39	
347	259	766	0.338	33.81	13.47	
348	137	542	0.253	25.28	8.54	
349	122	929	0.131	13.13	12.14	
350	471	805	0.585	58.51	45.38	
351	268	956	0.280	28.03	30.48	
352	449	998	0.450	44.99	16.96	
353	304	580	0.524	52.41	7.42	
354	400	867	0.461	46.14	6.28	
355	202	693	0.291	29.15	16.99	
356	147	752	0.195	19.55	9.60	
357	124	795	0.156	15.60	3.95	
358	343	891	0.385	38.50	22.90	
359	274	722	0.380	37.95	0.55	
360	349	841	0.415	41.50	3.55	
361	328	658	0.498	49.85	8.35	
362	103	588	0.175	17.52	32.33	
363	194	939	0.207	20.66	3.14	
364	130	663	0.196	19.61	1.05	
365	184	732	0.251	25.14	5.53	
366	496	660	0.752	75.15	50.01	
367	422	707	0.597	59.69	15.46	
368	165	883	0.187	18.69	41.00	
369	335	670	0.500	50.00	31.31	
370	386	625	0.618	61.76	11.76	
371	229	832	0.275	27.52	34.24	
372	459	899	0.511	51.06	23.53	
373	194	540	0.359	35.93	15.13	
374	445	692	0.643	64.31	28.38	
375	313	912	0.343	34.32	29.99	
376	446	517	0.863	86.27	51.95	
377	195	675	0.289	28.89	57.38	
378	169	970	0.174	17.42	11.47	
379	133	761	0.175	17.48	0.05	MATCH
380	488	664	0.735	73.49	56.02	
381	446	966	0.462	46.17	27.32	
382	294	601	0.489	48.92	2.75	
383	124	952	0.130	13.03	35.89	
384	291	821	0.354	35.44	22.42	
385	444	911	0.487	48.74	13.29	
386	434	743	0.584	58.41	9.67	
387	332	958	0.347	34.66	23.76	
388	161	932	0.173	17.27	17.38	
389	246	757	0.325	32.50	15.22	
390	224	956	0.234	23.43	9.07	
391	410	656	0.625	62.50	39.07	
392	467	918	0.509	50.87	11.63	
393	381	612	0.623	62.25	11.38	
394	111	913	0.122	12.16	50.10	
395	166	582	0.285	28.52	16.36	
396	125	994	0.126	12.58	15.95	
397	246	654	0.376	37.61	25.04	
398	461	988	0.467	46.66	9.05	
399	499	876	0.570	56.96	10.30	
400	403	866	0.465	46.54	10.43	
401	277	704	0.393	39.35	7.19	
402	267	689	0.388	38.75	0.59	
403	336	745	0.451	45.10	6.35	
404	425	502	0.847	84.66	39.56	
405	241	781	0.309	30.86	53.80	
406	349	803	0.435	43.46	12.60	
407	241	725	0.332	33.24	10.22	
408	303	608	0.498	49.84	16.59	
409	306	781	0.392	39.18	10.65	
410	307	548	0.560	56.02	16.84	
411	297	933	0.318	31.83	24.19	
412	134	916	0.146	14.63	17.20	
413	177	723	0.245	24.48	9.85	
414	413	966	0.428	42.75	18.27	
415	203	923	0.220	21.99	20.76	
416	489	720	0.679	67.92	45.92	
417	302	767	0.394	39.37	28.54	
418	192	787	0.244	24.40	14.98	
419	381	820	0.465	46.46	22.07	
420	428	709	0.604	60.37	13.90	
421	205	590	0.347	34.75	25.62	
422	363	553	0.656	65.64	30.90	
423	423	823	0.514	51.40	14.24	
424	487	878	0.555	55.47	4.07	
425	234	634	0.369	36.91	18.56	
426	148	834	0.177	17.75	19.16	
427	278	958	0.290	29.02	11.27	
428	470	590	0.797	79.66	50.64	
429	346	748	0.463	46.26	33.40	
430	179	900	0.199	19.89	26.37	
431	315	803	0.392	39.23	19.34	
432	246	745	0.330	33.02	6.21	
433	102	838	0.122	12.17	20.85	
434	404	742	0.544	54.45	42.28	
435	185	603	0.307	30.68	23.77	
436	155	725	0.214	21.38	9.30	
437	251	762	0.329	32.94	11.56	
438	413	632	0.653	65.35	32.41	
439	397	700	0.567	56.71	8.63	
440	168	916	0.183	18.34	38.37	
441	263	894	0.294	29.42	11.08	
442	367	799	0.459	45.93	16.51	
443	292	840	0.348	34.76	11.17	
444	242	819	0.295	29.55	5.21	
445	288	616	0.468	46.75	17.21	
446	110	736	0.149	14.95	31.81	
447	275	924	0.298	29.76	14.82	
448	317	937	0.338	33.83	4.07	
449	488	717	0.681	68.06	34.23	
450	184	593	0.310	31.03	37.03	
451	102	745	0.137	13.69	17.34	
452	462	923	0.501	50.05	36.36	
453	100	997	0.100	10.03	40.02	
454	203	949	0.214	21.39	11.36	
455	276	624	0.442	44.23	22.84	
456	391	704	0.555	55.54	11.31	
457	249	576	0.432	43.23	12.31	
458	380	966	0.393	39.34	3.89	
459	351	679	0.517	51.69	12.36	
460	491	638	0.770	76.96	25.27	
461	313	586	0.534	53.41	23.55	
462	199	923	0.216	21.56	31.85	
463	264	881	0.300	29.97	8.41	
464	269	736	0.365	36.55	6.58	
465	186	513	0.363	36.26	0.29	
466	137	582	0.235	23.54	12.72	
467	126	691	0.182	18.23	5.31	
468	317	980	0.323	32.35	14.11	
469	304	691	0.440	43.99	11.65	
470	389	922	0.422	42.19	1.80	
471	143	512	0.279	27.93	14.26	
472	189	698	0.271	27.08	0.85	
473	234	905	0.259	25.86	1.22	
474	294	812	0.362	36.21	10.35	
475	496	735	0.675	67.48	31.28	
476	478	925	0.517	51.68	15.81	
477	296	702	0.422	42.17	9.51	
478	154	999	0.154	15.42	26.75	
479	396	625	0.634	63.36	47.94	
480	131	599	0.219	21.87	41.49	
481	326	776	0.420	42.01	20.14	
482	313	862	0.363	36.31	5.70	
483	244	539	0.453	45.27	8.96	
484	448	663	0.676	67.57	22.30	
485	279	948	0.294	29.43	38.14	
486	232	614	0.378	37.79	8.35	
487	388	529	0.733	73.35	35.56	
488	437	877	0.498	49.83	23.52	
489	405	864	0.469	46.88	2.95	
490	497	887	0.560	56.03	9.16	
491	298	764	0.390	39.01	17.03	
492	423	810	0.522	52.22	13.22	
493	169	703	0.240	24.04	28.18	
494	416	894	0.465	46.53	22.49	
495	264	961	0.275	27.47	19.06	
496	434	863	0.503	50.29	22.82	
497	400	516	0.775	77.52	27.23	
498	420	530	0.792	79.25	1.73	
499	211	974	0.217	21.66	57.58	
500	334	732	0.456	45.63	23.97	
501	428	793	0.540	53.97	8.34	
502	319	512	0.623	62.30	8.33	
503	253	776	0.326	32.60	29.70	
504	174	822	0.212	21.17	11.44	
505	269	571	0.471	47.11	25.94	
506	359	629	0.571	57.07	9.96	
507	280	607	0.461	46.13	10.95	
508	397	815	0.487	48.71	2.58	
509	341	504	0.677	67.66	18.95	
510	262	995	0.263	26.33	41.33	
511	295	537	0.549	54.93	28.60	
512	421	525	0.802	80.19	25.26	
513	215	566	0.380	37.99	42.20	
514	308	552	0.558	55.80	17.81	
515	209	840	0.249	24.88	30.92	
516	434	501	0.866	86.63	61.75	
517	353	581	0.608	60.76	25.87	
518	123	901	0.137	13.65	47.11	
519	282	551	0.512	51.18	37.53	
520	481	618	0.778	77.83	26.65	
521	262	922	0.284	28.42	49.42	
522	435	920	0.473	47.28	18.87	
523	337	689	0.489	48.91	1.63	
524	358	617	0.580	58.02	9.11	
525	281	651	0.432	43.16	14.86	
526	343	683	0.502	50.22	7.06	
527	106	515	0.206	20.58	29.64	
528	411	506	0.812	81.23	60.64	
529	436	513	0.850	84.99	3.76	
530	143	914	0.156	15.65	69.34	
531	425	549	0.774	77.41	61.77	
532	266	829	0.321	32.09	45.33	
533	110	853	0.129	12.90	19.19	
534	208	501	0.415	41.52	28.62	
535	170	521	0.326	32.63	8.89	
536	207	742	0.279	27.90	4.73	
537	208	822	0.253	25.30	2.59	
538	404	788	0.513	51.27	25.96	
539	190	592	0.321	32.09	19.17	
540	309	862	0.358	35.85	3.75	
541	177	835	0.212	21.20	14.65	
542	153	644	0.238	23.76	2.56	
543	239	770	0.310	31.04	7.28	
544	415	845	0.491	49.11	18.07	
545	313	695	0.450	45.04	4.08	
546	272	773	0.352	35.19	9.85	
547	484	935	0.518	51.76	16.58	
548	163	834	0.195	19.54	32.22	
549	489	747	0.655	65.46	45.92	
550	206	508	0.406	40.55	24.91	
551	120	867	0.138	13.84	26.71	
552	454	672	0.676	67.56	53.72	
553	316	950	0.333	33.26	34.30	
554	304	869	0.350	34.98	1.72	
555	354	857	0.413	41.31	6.32	
556	256	759	0.337	33.73	7.58	
557	455	532	0.855	85.53	51.80	
558	386	704	0.548	54.83	30.70	
559	247	929	0.266	26.59	28.24	
560	174	530	0.328	32.83	6.24	
561	354	975	0.363	36.31	3.48	
562	357	797	0.448	44.79	8.49	
563	287	581	0.494	49.40	4.60	
564	212	955	0.222	22.20	27.20	
565	162	834	0.194	19.42	2.77	
566	393	946	0.415	41.54	22.12	
567	225	562	0.400	40.04	1.51	
568	313	718	0.436	43.59	3.56	
569	373	867	0.430	43.02	0.57	
570	189	904	0.209	20.91	22.11	
571	451	751	0.601	60.05	39.15	
572	123	783	0.157	15.71	44.34	
573	458	533	0.859	85.93	70.22	
574	344	824	0.417	41.75	44.18	
575	364	555	0.656	65.59	23.84	
576	358	932	0.384	38.41	27.17	
577	378	890	0.425	42.47	4.06	
578	245	769	0.319	31.86	10.61	
579	408	686	0.595	59.48	27.62	
580	187	500	0.374	37.40	22.08	
581	334	907	0.368	36.82	0.58	
582	214	537	0.399	39.85	3.03	
583	437	832	0.525	52.52	12.67	
584	224	675	0.332	33.19	19.34	
585	321	928	0.346	34.59	1.41	
586	149	558	0.267	26.70	7.89	
587	283	653	0.433	43.34	16.64	
588	358	754	0.475	47.48	4.14	
589	319	732	0.436	43.58	3.90	
590	394	541	0.728	72.83	29.25	
591	129	634	0.203	20.35	52.48	
592	272	983	0.277	27.67	7.32	
593	334	603	0.554	55.39	27.72	
594	437	782	0.559	55.88	0.49	
595	462	694	0.666	66.57	10.69	
596	442	934	0.473	47.32	19.25	
597	463	650	0.712	71.23	23.91	
598	334	635	0.526	52.60	18.63	
599	323	689	0.469	46.88	5.72	
600	367	965	0.380	38.03	8.85	
601	426	592	0.720	71.96	33.93	
602	102	758	0.135	13.46	58.50	
603	394	948	0.416	41.56	28.10	
604	306	927	0.330	33.01	8.55	
605	346	804	0.430	43.03	10.03	
606	186	648	0.287	28.70	14.33	
607	318	533	0.597	59.66	30.96	
608	233	679	0.343	34.32	25.35	
609	173	683	0.253	25.33	8.99	
610	157	760	0.207	20.66	4.67	
611	314	786	0.399	39.95	19.29	
612	391	821	0.476	47.62	7.68	
613	346	889	0.389	38.92	8.70	
614	433	523	0.828	82.79	43.87	
615	324	673	0.481	48.14	34.65	
616	332	835	0.398	39.76	8.38	
617	235	698	0.337	33.67	6.09	
618	128	964	0.133	13.28	20.39	
619	100	962	0.104	10.40	2.88	
620	102	990	0.103	10.30	0.09	MATCH
621	319	771	0.414	41.37	31.07	
622	239	600	0.398	39.83	1.54	
623	174	791	0.220	22.00	17.84	
624	317	594	0.534	53.37	31.37	
625	391	807	0.485	48.45	4.92	
626	415	890	0.466	46.63	1.82	
627	150	778	0.193	19.28	27.35	
628	386	690	0.559	55.94	36.66	
629	456	788	0.579	57.87	1.93	
630	441	847	0.521	52.07	5.80	
631	478	896	0.533	53.35	1.28	
632	148	850	0.174	17.41	35.94	
633	245	615	0.398	39.84	22.43	
634	436	836	0.522	52.15	12.32	
635	312	637	0.490	48.98	3.17	
636	264	758	0.348	34.83	14.15	
637	490	719	0.682	68.15	33.32	
638	415	503	0.825	82.50	14.35	
639	400	737	0.543	54.27	28.23	
640	304	813	0.374	37.39	16.88	
641	371	652	0.569	56.90	19.51	
642	125	987	0.127	12.66	44.24	
643	107	851	0.126	12.57	0.09	MATCH
644	499	605	0.825	82.48	69.91	
645	456	751	0.607	60.72	21.76	
646	473	961	0.492	49.22	11.50	
647	160	557	0.287	28.73	20.49	
648	336	705	0.477	47.66	18.93	
649	394	525	0.750	75.05	27.39	
650	205	522	0.393	39.27	35.78	
651	412	907	0.454	45.42	6.15	
652	235	943	0.249	24.92	20.50	
653	175	636	0.275	27.52	2.60	
654	403	689	0.585	58.49	30.97	
655	318	500	0.636	63.60	5.11	
656	133	591	0.225	22.50	41.10	
657	123	568	0.217	21.65	0.85	
658	417	574	0.726	72.65	50.99	
659	410	736	0.557	55.71	16.94	
660	303	972	0.312	31.17	24.53	
661	243	640	0.380	37.97	6.80	
662	410	725	0.566	56.55	18.58	
663	114	703	0.162	16.22	40.34	
664	482	986	0.489	48.88	32.67	
665	470	950	0.495	49.47	0.59	
666	497	747	0.665	66.53	17.06	
667	240	649	0.370	36.98	29.55	
668	130	562	0.231	23.13	13.85	
669	271	576	0.470	47.05	23.92	
670	489	931	0.525	52.52	5.48	
671	264	564	0.468	46.81	5.72	
672	199	888	0.224	22.41	24.40	
673	260	536	0.485	48.51	26.10	
674	285	945	0.302	30.16	18.35	
675	296	749	0.395	39.52	9.36	
676	110	526	0.209	20.91	18.61	
677	326	922	0.354	35.36	14.45	
678	300	813	0.369	36.90	1.54	
679	159	668	0.238	23.80	13.10	
680	471	579	0.813	81.35	57.54	
681	476	737	0.646	64.59	16.76	
682	275	786	0.350	34.99	29.60	
683	108	585	0.185	18.46	16.53	
684	415	596	0.696	69.63	51.17	
685	200	891	0.224	22.45	47.18	
686	344	808	0.426	42.57	20.13	
687	282	543	0.519	51.93	9.36	
688	199	580	0.343	34.31	17.62	
689	272	710	0.383	38.31	4.00	
690	400	772	0.518	51.81	13.50	
691	405	641	0.632	63.18	11.37	
692	388	858	0.452	45.22	17.96	
693	323	931	0.347	34.69	10.53	
694	435	945	0.460	46.03	11.34	
695	346	698	0.496	49.57	3.54	
696	256	627	0.408	40.83	8.74	
697	191	604	0.316	31.62	9.21	
698	456	683	0.668	66.76	35.14	
699	419	681	0.615	61.53	5.24	
700	253	726	0.348	34.85	26.68	
701	426	518	0.822	82.24	47.39	
702	446	662	0.674	67.37	14.87	
703	483	975	0.495	49.54	17.83	
704	310	822	0.377	37.71	11.83	
705	195	747	0.261	26.10	11.61	
706	481	809	0.595	59.46	33.35	
707	131	672	0.195	19.49	39.96	
708	387	765	0.506	50.59	31.09	
709	308	648	0.475	47.53	3.06	
710	467	692	0.675	67.49	19.95	
711	368	719	0.512	51.18	16.30	
712	199	850	0.234	23.41	27.77	
713	214	971	0.220	22.04	1.37	
714	219	723	0.303	30.29	8.25	
715	186	551	0.338	33.76	3.47	
716	275	774	0.355	35.53	1.77	
717	340	672	0.506	50.60	15.07	
718	270	552	0.489	48.91	1.68	
719	161	869	0.185	18.53	30.39	
720	338	868	0.389	38.94	20.41	
721	490	815	0.601	60.12	21.18	
722	186	990	0.188	18.79	41.33	
723	317	728	0.435	43.54	24.76	
724	207	977	0.212	21.19	22.36	
725	316	704	0.449	44.89	23.70	
726	354	760	0.466	46.58	1.69	
727	350	712	0.492	49.16	2.58	
728	452	961	0.470	47.03	2.12	
729	183	570	0.321	32.11	14.93	
730	327	999	0.327	32.73	0.63	
731	269	636	0.423	42.30	9.56	
732	475	950	0.500	50.00	7.70	
733	495	854	0.580	57.96	7.96	
734	383	892	0.429	42.94	15.03	
735	452	683	0.662	66.18	23.24	
736	151	893	0.169	16.91	49.27	
737	338	589	0.574	57.39	40.48	
738	471	970	0.486	48.56	8.83	
739	362	508	0.713	71.26	22.70	
740	132	961	0.137	13.74	57.52	
741	463	991	0.467	46.72	32.98	
742	288	753	0.382	38.25	8.47	
743	233	606	0.384	38.45	0.20	
744	469	949	0.494	49.42	10.97	
745	301	612	0.492	49.18	0.24	
746	344	944	0.364	36.44	12.74	
747	402	902	0.446	44.57	8.13	
748	372	646	0.576	57.59	13.02	
749	264	984	0.268	26.83	30.76	
750	263	660	0.398	39.85	13.02	
751	487	928	0.525	52.48	12.63	
752	177	735	0.241	24.08	28.40	
753	446	539	0.827	82.75	58.66	
754	363	983	0.369	36.93	45.82	
755	327	989	0.331	33.06	3.86	
756	216	608	0.355	35.53	2.46	
757	197	585	0.337	33.68	1.85	
758	374	868	0.431	43.09	9.41	
759	498	684	0.728	72.81	29.72	
760	123	949	0.130	12.96	59.85	
761	136	879	0.155	15.47	2.51	
762	457	605	0.755	75.54	60.07	
763	317	824	0.385	38.47	37.07	
764	487	784	0.621	62.12	23.65	
765	241	770	0.313	31.30	30.82	
766	221	852	0.259	25.94	5.36	
767	477	597	0.799	79.90	53.96	
768	404	895	0.451	45.14	34.76	
769	213	700	0.304	30.43	14.71	
770	430	504	0.853	85.32	54.89	
771	412	694	0.594	59.37	25.95	
772	106	630	0.168	16.83	42.54	
773	121	765	0.158	15.82	1.01	
774	445	661	0.673	67.32	51.51	
775	169	738	0.229	22.90	44.42	
776	258	949	0.272	27.19	4.29	
777	177	660	0.268	26.82	0.37	
778	406	660	0.615	61.52	34.70	
779	294	849	0.346	34.63	26.89	
780	463	685	0.676	67.59	32.96	
781	204	659	0.310	30.96	36.64	
782	179	654	0.274	27.37	3.59	
783	346	807	0.429	42.87	15.50	
784	474	556	0.853	85.25	42.38	
785	483	688	0.702	70.20	15.05	
786	339	560	0.605	60.54	9.67	
787	160	976	0.164	16.39	44.14	
788	427	586	0.729	72.87	56.47	
789	217	755	0.287	28.74	44.13	
790	465	659	0.706	70.56	41.82	
791	413	696	0.593	59.34	11.22	
792	337	914	0.369	36.87	22.47	
793	144	613	0.235	23.49	13.38	
794	423	778	0.544	54.37	30.88	
795	186	801	0.232	23.22	31.15	
796	290	985	0.294	29.44	6.22	
797	135	800	0.169	16.88	12.57	
798	152	877	0.173	17.33	0.46	
799	423	773	0.547	54.72	37.39	
800	278	731	0.380	38.03	16.69	
801	389	707	0.550	55.02	16.99	
802	304	783	0.388	38.83	16.20	
803	298	711	0.419	41.91	3.09	
804	182	965	0.189	18.86	23.05	
805	124	529	0.234	23.44	4.58	
806	141	673	0.210	20.95	2.49	
807	117	714	0.164	16.39	4.56	
808	109	558	0.195	19.53	3.15	
809	433	947	0.457	45.72	26.19	
810	191	574	0.333	33.28	12.45	
811	441	864	0.510	51.04	17.77	
812	243	889	0.273	27.33	23.71	
813	492	605	0.813	81.32	53.99	
814	348	561	0.620	62.03	19.29	
815	315	788	0.400	39.97	22.06	
816	361	935	0.386	38.61	1.36	
817	188	949	0.198	19.81	18.80	
818	260	503	0.517	51.69	31.88	
819	473	564	0.839	83.87	32.18	
820	253	946	0.267	26.74	57.12	
821	312	966	0.323	32.30	5.55	
822	411	929	0.442	44.24	11.94	
823	457	531	0.861	86.06	41.82	
824	265	801	0.331	33.08	52.98	
825	384	681	0.564	56.39	23.30	
826	363	876	0.414	41.44	14.95	
827	138	649	0.213	21.26	20.17	
828	199	781	0.255	25.48	4.22	
829	220	859	0.256	25.61	0.13	
830	361	640	0.564	56.41	30.80	
831	382	994	0.384	38.43	17.98	
832	205	818	0.251	25.06	13.37	
833	295	577	0.511	51.13	26.07	
834	353	736	0.480	47.96	3.16	
835	419	936	0.448	44.76	3.20	
836	377	555	0.679	67.93	23.16	
837	405	997	0.406	40.62	27.31	
838	267	922	0.290	28.96	11.66	
839	239	959	0.249	24.92	4.04	
840	113	623	0.181	18.14	6.78	
841	178	762	0.234	23.36	5.22	
842	311	975	0.319	31.90	8.54	
843	382	944	0.405	40.47	8.57	
844	279	935	0.298	29.84	10.63	
845	471	803	0.587	58.66	28.82	
846	364	771	0.472	47.21	11.44	
847	458	949	0.483	48.26	1.05	
848	306	894	0.342	34.23	14.03	
849	181	835	0.217	21.68	12.55	
850	238	662	0.360	35.95	14.28	
851	238	952	0.250	25.00	10.95	
852	476	650	0.732	73.23	48.23	
853	308	544	0.566	56.62	16.61	
854	197	585	0.337	33.68	22.94	
855	403	539	0.748	74.77	41.09	
856	144	562	0.256	25.62	49.15	
857	459	697	0.659	65.85	40.23	
858	161	648	0.248	24.85	41.01	
859	103	959	0.107	10.74	14.11	
860	273	541	0.505	50.46	39.72	
861	391	948	0.412	41.24	9.22	
862	439	890	0.493	49.33	8.08	
863	170	839	0.203	20.26	29.06	
864	206	606	0.340	33.99	13.73	
865	335	893	0.375	37.51	3.52	
866	352	960	0.367	36.67	0.85	
867	249	675	0.369	36.89	0.22	
868	286	589	0.486	48.56	11.67	
869	483	810	0.596	59.63	11.07	
870	378	584	0.647	64.73	5.10	
871	283	577	0.490	49.05	15.68	
872	343	802	0.428	42.77	6.28	
873	494	894	0.553	55.26	12.49	
874	197	895	0.220	22.01	33.25	
875	153	862	0.177	17.75	4.26	
876	251	612	0.410	41.01	23.26	
877	323	508	0.636	63.58	22.57	
878	268	572	0.469	46.85	16.73	
879	380	907	0.419	41.90	4.96	
880	460	976	0.471	47.13	5.23	
881	452	535	0.845	84.49	37.35	
882	215	874	0.246	24.60	59.89	
883	266	631	0.422	42.16	17.56	
884	328	612	0.536	53.59	11.44	
885	322	691	0.466	46.60	7.00	
886	224	706	0.317	31.73	14.87	
887	176	626	0.281	28.12	3.61	
888	301	759	0.397	39.66	11.54	
889	141	722	0.195	19.53	20.13	
890	449	690	0.651	65.07	45.54	
891	494	742	0.666	66.58	1.50	
892	122	845	0.144	14.44	52.14	
893	330	584	0.565	56.51	42.07	
894	255	658	0.388	38.75	17.75	
895	200	635	0.315	31.50	7.26	
896	422	987	0.428	42.76	11.26	
897	248	736	0.337	33.70	9.06	
898	163	978	0.167	16.67	17.03	
899	282	566	0.498	49.82	33.16	
900	129	734	0.176	17.57	32.25	
901	411	690	0.596	59.57	41.99	
902	208	811	0.256	25.65	33.92	
903	333	561	0.594	59.36	33.71	
904	207	780	0.265	26.54	32.82	
905	104	986	0.105	10.55	15.99	
906	185	658	0.281	28.12	17.57	
907	460	716	0.642	64.25	36.13	
908	151	511	0.295	29.55	34.70	
909	491	841	0.584	58.38	28.83	
910	232	683	0.340	33.97	24.42	
911	278	805	0.345	34.53	0.57	
912	412	651	0.633	63.29	28.75	
913	321	844	0.380	38.03	25.25	
914	445	698	0.638	63.75	25.72	
915	138	550	0.251	25.09	38.66	
916	179	788	0.227	22.72	2.38	
917	275	889	0.309	30.93	8.22	
918	369	617	0.598	59.81	28.87	
919	479	646	0.741	74.15	14.34	
920	411	981	0.419	41.90	32.25	
921	154	801	0.192	19.23	22.67	
922	120	962	0.125	12.47	6.75	
923	412	897	0.459	45.93	33.46	
924	105	763	0.138	13.76	32.17	
925	113	728	0.155	15.52	1.76	
926	434	654	0.664	66.36	50.84	
927	167	695	0.240	24.03	42.33	
928	270	909	0.297	29.70	5.67	
929	197	942	0.209	20.91	8.79	
930	462	634	0.729	72.87	51.96	
931	404	721	0.560	56.03	16.84	
932	240	974	0.246	24.64	31.39	
933	276	863	0.320	31.98	7.34	
934	263	937	0.281	28.07	3.91	
935	460	683	0.673	67.35	39.28	
936	324	604	0.536	53.64	13.71	
937	255	940	0.271	27.13	26.51	
938	373	585	0.638	63.76	36.63	
939	343	995	0.345	34.47	29.29	
940	261	788	0.331	33.12	1.35	
941	274	901	0.304	30.41	2.71	
942	367	623	0.589	58.91	28.50	
943	361	971	0.372	37.18	21.73	
944	176	782	0.225	22.51	14.67	
945	288	609	0.473	47.29	24.78	
946	279	550	0.507	50.73	3.44	
947	305	759	0.402	40.18	10.54	
948	348	948	0.367	36.71	3.48	
949	478	977	0.489	48.93	12.22	
950	145	530	0.274	27.36	21.57	
951	389	630	0.617	61.75	34.39	
952	141	539	0.262	26.16	35.59	
953	492	637	0.772	77.24	51.08	
954	229	897	0.255	25.53	51.71	
955	225	964	0.233	23.34	2.19	
956	226	588	0.384	38.44	15.10	
957	119	973	0.122	12.23	26.21	
958	365	543	0.672	67.22	54.99	
959	260	554	0.469	46.93	20.29	
960	279	861	0.324	32.40	14.53	
961	339	659	0.514	51.44	19.04	
962	437	582	0.751	75.09	23.64	
963	470	730	0.644	64.38	10.70	
964	299	957	0.312	31.24	33.14	
965	389	517	0.752	75.24	44.00	
966	104	793	0.131	13.11	62.13	
967	363	958	0.379	37.89	24.78	
968	473	641	0.738	73.79	35.90	
969	163	851	0.192	19.15	54.64	
970	153	902	0.170	16.96	2.19	
971	189	959	0.197	19.71	2.75	
972	257	912	0.282	28.18	8.47	
973	425	975	0.436	43.59	15.41	
974	174	998	0.174	17.43	26.15	
975	358	985	0.363	36.35	18.91	
976	243	630	0.386	38.57	2.23	
977	187	658	0.284	28.42	10.15	
978	332	623	0.533	53.29	24.87	
979	405	698	0.580	58.02	4.73	
980	469	647	0.725	72.49	14.47	
981	378	857	0.441	44.11	28.38	
982	383	811	0.472	47.23	3.12	
983	407	963	0.423	42.26	4.96	
984	264	578	0.457	45.67	3.41	
985	105	852	0.123	12.32	33.35	
986	201	919	0.219	21.87	9.55	
987	150	932	0.161	16.09	5.78	
988	205	742	0.276	27.63	11.53	
989	328	516	0.636	63.57	35.94	
990	313	680	0.460	46.03	17.54	
991	142	702	0.202	20.23	25.80	
992	459	574	0.800	79.97	59.74	
993	429	594	0.722	72.22	7.74	
994	234	673	0.348	34.77	37.45	
995	475	608	0.781	78.13	43.36	
996	325	575	0.565	56.52	21.60	
997	209	798	0.262	26.19	30.33	
998	406	998	0.407	40.68	14.49	
999	235	729	0.322	32.24	8.45	
1000	489	933	0.524	52.41	20.18	
1001	152	587	0.259	25.89	26.52	
1002	489	710	0.689	68.87	42.98	
1003	320	502	0.637	63.75	5.13	
1004	398	957	0.416	41.59	22.16	
1005	318	727	0.437	43.74	2.15	
1006	325	772	0.421	42.10	1.64	
1007	490	800	0.613	61.25	19.15	
1008	365	780	0.468	46.79	14.46	
1009	248	772	0.321	32.12	14.67	
1010	374	839	0.446	44.58	12.45	
1011	134	752	0.178	17.82	26.76	
1012	403	586	0.688	68.77	50.95	
1013	145	616	0.235	23.54	45.23	
1014	469	642	0.731	73.05	49.51	
1015	475	822	0.578	57.79	15.27	
1016	469	619	0.758	75.77	17.98	
1017	382	968	0.395	39.46	36.30	
1018	191	897	0.213	21.29	18.17	
1019	487	636	0.766	76.57	55.28	
1020	473	569	0.831	83.13	6.56	
1021	253	618	0.409	40.94	42.19	
1022	299	909	0.329	32.89	8.05	
1023	388	660	0.588	58.79	25.89	
1024	174	997	0.175	17.45	41.34	
1025	440	843	0.522	52.19	34.74	
1026	292	592	0.493	49.32	2.87	
1027	213	629	0.339	33.86	15.46	
1028	147	636	0.231	23.11	10.75	
1029	123	733	0.168	16.78	6.33	
1030	114	786	0.145	14.50	2.28	
1031	492	504	0.976	97.62	83.12	
1032	220	636	0.346	34.59	63.03	
1033	397	515	0.771	77.09	42.50	
1034	108	614	0.176	17.59	59.50	
1035	395	657	0.601	60.12	42.53	
1036	441	872	0.506	50.57	9.55	
1037	399	662	0.603	60.27	9.70	
1038	130	527	0.247	24.67	35.60	
1039	332	575	0.577	57.74	33.07	
1040	351	522	0.672	67.24	9.50	
1041	458	500	0.916	91.60	24.36	
1042	446	927	0.481	48.11	43.49	
1043	319	724	0.441	44.06	4.05	
1044	461	796	0.579	57.91	13.85	
1045	476	990	0.481	48.08	9.83	
1046	118	508	0.232	23.23	24.85	
1047	324	736	0.440	44.02	20.79	
1048	241	652	0.370	36.96	7.06	
1049	209	541	0.386	38.63	1.67	
1050	274	828	0.331	33.09	5.54	
1051	412	539	0.764	76.44	43.35	
1052	238	522	0.456	45.59	30.84	
1053	126	911	0.138	13.83	31.76	
1054	343	881	0.389	38.93	25.10	
1055	299	823	0.363	36.33	2.60	
1056	130	576	0.226	22.57	13.76	
1057	333	540	0.617	61.67	39.10	
1058	130	627	0.207	20.73	40.93	
1059	486	740	0.657	65.68	44.94	
1060	392	524	0.748	74.81	9.13	
1061	193	823	0.235	23.45	51.36	
1062	461	776	0.594	59.41	35.96	
1063	405	626	0.647	64.70	5.29	
1064	387	529	0.732	73.16	8.46	
1065	382	896	0.426	42.63	30.52	
1066	449	788	0.570	56.98	14.35	
1067	160	995	0.161	16.08	40.90	
1068	498	545	0.914	91.38	75.30	
1069	331	988	0.335	33.50	57.87	
1070	328	636	0.516	51.57	18.07	
1071	149	664	0.224	22.44	29.13	
1072	492	683	0.720	72.04	49.60	
1073	356	825	0.432	43.15	28.88	
1074	139	758	0.183	18.34	24.81	
1075	353	554	0.637	63.72	45.38	
1076	336	994	0.338	33.80	29.92	
1077	365	677	0.539	53.91	20.11	
1078	117	894	0.131	13.09	40.83	
1079	122	614	0.199	19.87	6.78	
1080	350	576	0.608	60.76	40.89	
1081	121	807	0.150	14.99	45.77	
1082	122	573	0.213	21.29	6.30	
1083	371	812	0.457	45.69	24.40	
1084	450	635	0.709	70.87	25.18	
1085	415	641	0.647	64.74	6.12	
1086	486	794	0.612	61.21	3.53	
1087	299	908	0.329	32.93	28.28	
1088	101	863	0.117	11.70	21.23	
1089	410	658	0.623	62.31	50.61	
1090	256	611	0.419	41.90	20.41	
1091	329	810	0.406	40.62	1.28	
1092	404	647	0.624	62.44	21.82	
1093	418	818	0.511	51.10	11.34	
1094	218	825	0.264	26.42	24.68	
1095	406	933	0.435	43.52	17.09	
1096	198	990	0.200	20.00	23.52	
1097	490	730	0.671	67.12	47.12	
1098	134	546	0.245	24.54	42.58	
1099	270	798	0.338	33.83	9.29	
1100	337	797	0.423	42.28	8.45	
1101	152	566	0.269	26.86	15.43	
1102	466	600	0.777	77.67	50.81	
1103	201	654	0.307	30.73	46.93	
1104	141	599	0.235	23.54	7.19	
1105	279	776	0.360	35.95	12.41	
1106	500	820	0.610	60.98	25.02	
1107	453	643	0.705	70.45	9.48	
1108	376	673	0.559	55.87	14.58	
1109	251	856	0.293	29.32	26.55	
1110	429	848	0.506	50.59	21.27	
1111	329	764	0.431	43.06	7.53	
1112	487	920	0.529	52.93	9.87	
1113	371	869	0.427	42.69	10.24	
1114	168	899	0.187	18.69	24.01	
1115	152	520	0.292	29.23	10.54	
1116	283	560	0.505	50.54	21.30	
1117	223	616	0.362	36.20	14.33	
1118	484	829	0.584	58.38	22.18	
1119	380	939	0.405	40.47	17.92	
1120	359	1000	0.359	35.90	4.57	
1121	323	562	0.575	57.47	21.57	
1122	229	756	0.303	30.29	27.18	
1123	200	866	0.231	23.09	7.20	
1124	472	743	0.635	63.53	40.43	
1125	145	706	0.205	20.54	42.99	
1126	182	694	0.262	26.22	5.69	
1127	252	799	0.315	31.54	5.31	
1128	455	748	0.608	60.83	29.29	
1129	448	611	0.733	73.32	12.49	
1130	125	756	0.165	16.53	56.79	
1131	419	980	0.428	42.76	26.22	
1132	458	895	0.512	51.17	8.42	
1133	180	521	0.345	34.55	16.62	
1134	445	997	0.446	44.63	10.08	
1135	341	706	0.483	48.30	3.67	
1136	469	616	0.761	76.14	27.84	
1137	304	562	0.541	54.09	22.04	
1138	120	610	0.197	19.67	34.42	
1139	101	858	0.118	11.77	7.90	
1140	244	529	0.461	46.12	34.35	
1141	163	641	0.254	25.43	20.70	
1142	442	746	0.592	59.25	33.82	
1143	266	526	0.506	50.57	8.68	
1144	419	641	0.654	65.37	14.80	
1145	431	903	0.477	47.73	17.64	
1146	478	949	0.504	50.37	2.64	
1147	494	728	0.679	67.86	17.49	
1148	194	627	0.309	30.94	36.92	
1149	195	793	0.246	24.59	6.35	
1150	269	884	0.304	30.43	5.84	
1151	256	969	0.264	26.42	4.01	
1152	450	830	0.542	54.22	27.80	
1153	213	544	0.392	39.15	15.06	
1154	147	676	0.217	21.75	17.41	
1155	486	763	0.637	63.70	41.95	
1156	227	594	0.382	38.22	25.48	
1157	266	848	0.314	31.37	6.85	
1158	212	1000	0.212	21.20	10.17	
1159	428	919	0.466	46.57	25.37	
1160	234	942	0.248	24.84	21.73	
1161	262	742	0.353	35.31	10.47	
1162	476	549	0.867	86.70	51.39	
1163	389	588	0.662	66.16	20.55	
1164	155	594	0.261	26.09	40.06	
1165	406	921	0.441	44.08	17.99	
1166	426	650	0.655	65.54	21.46	
1167	495	786	0.630	62.98	2.56	
1168	221	761	0.290	29.04	33.94	
1169	444	685	0.648	64.82	35.78	
1170	343	966	0.355	35.51	29.31	
1171	201	548	0.367	36.68	1.17	
1172	352	857	0.411	41.07	4.39	
1173	456	655	0.696	69.62	28.54	
1174	153	747	0.205	20.48	49.14	
1175	237	772	0.307	30.70	10.22	
1176	356	596	0.597	59.73	29.03	
1177	184	547	0.336	33.64	26.09	
1178	242	656	0.369	36.89	3.25	
1179	228	604	0.377	37.75	0.86	
1180	393	643	0.611	61.12	23.37	
1181	217	955	0.227	22.72	38.40	
1182	327	837	0.391	39.07	16.35	
1183	316	548	0.577	57.66	18.60	
1184	237	633	0.374	37.44	20.22	
1185	100	716	0.140	13.97	23.47	
1186	224	590	0.380	37.97	24.00	
1187	244	712	0.343	34.27	3.70	
1188	216	976	0.221	22.13	12.14	
1189	455	821	0.554	55.42	33.29	
1190	222	598	0.371	37.12	18.30	
1191	210	711	0.295	29.54	7.59	
1192	128	685	0.187	18.69	10.85	
1193	398	927	0.429	42.93	24.25	
1194	212	546	0.388	38.83	4.11	
1195	377	584	0.646	64.55	25.73	
1196	426	938	0.454	45.42	19.14	
1197	329	670	0.491	49.10	3.69	
1198	399	664	0.601	60.09	10.99	
1199	446	862	0.517	51.74	8.35	
1200	267	931	0.287	28.68	23.06	
1201	333	977	0.341	34.08	5.41	
1202	388	569	0.682	68.19	34.11	
1203	299	645	0.464	46.36	21.83	
1204	412	541	0.762	76.16	29.80	
1205	421	847	0.497	49.70	26.45	
1206	419	554	0.756	75.63	25.93	
1207	368	883	0.417	41.68	33.96	
1208	202	742	0.272	27.22	14.45	
1209	198	763	0.260	25.95	1.27	
1210	335	802	0.418	41.77	15.82	
1211	269	849	0.317	31.68	10.09	
1212	192	733	0.262	26.19	5.49	
1213	121	718	0.169	16.85	9.34	
1214	237	526	0.451	45.06	28.20	
1215	403	927	0.435	43.47	1.58	
1216	205	930	0.220	22.04	21.43	
1217	257	712	0.361	36.10	14.05	
1218	353	885	0.399	39.89	3.79	
1219	266	995	0.267	26.73	13.15	
1220	434	693	0.626	62.63	35.89	
1221	280	539	0.519	51.95	10.68	
1222	279	897	0.311	31.10	20.84	
1223	216	884	0.244	24.43	6.67	
1224	288	836	0.344	34.45	10.02	
1225	202	962	0.210	21.00	13.45	
1226	443	671	0.660	66.02	45.02	
1227	441	924	0.477	47.73	18.29	
1228	447	803	0.557	55.67	7.94	
1229	288	837	0.344	34.41	21.26	
1230	301	802	0.375	37.53	3.12	
1231	178	668	0.266	26.65	10.88	
1232	106	917	0.116	11.56	15.09	
1233	441	723	0.610	61.00	49.44	
1234	166	933	0.178	17.79	43.20	
1235	480	685	0.701	70.07	52.28	
1236	447	897	0.498	49.83	20.24	
1237	420	654	0.642	64.22	14.39	
1238	328	776	0.423	42.27	21.95	
1239	175	864	0.203	20.25	22.01	
1240	240	629	0.382	38.16	17.90	
1241	194	970	0.200	20.00	18.16	
1242	295	990	0.298	29.80	9.80	
1243	298	663	0.449	44.95	15.15	
1244	151	804	0.188	18.78	26.17	
1245	359	966	0.372	37.16	18.38	
1246	489	879	0.556	55.63	18.47	
1247	474	898	0.528	52.78	2.85	
1248	366	771	0.475	47.47	5.31	
1249	433	938	0.462	46.16	1.31	
1250	104	518	0.201	20.08	26.08	
1251	274	768	0.357	35.68	15.60	
1252	464	834	0.556	55.64	19.96	
1253	122	949	0.129	12.86	42.78	
1254	269	789	0.341	34.09	21.24	
1255	171	899	0.190	19.02	15.07	
1256	235	939	0.250	25.03	6.01	
1257	456	931	0.490	48.98	23.95	
1258	366	957	0.382	38.24	10.74	
1259	190	552	0.344	34.42	3.82	
1260	194	574	0.338	33.80	0.62	
1261	234	526	0.445	44.49	10.69	
1262	353	517	0.683	68.28	23.79	
1263	117	814	0.144	14.37	53.91	
1264	383	591	0.648	64.81	50.43	
1265	106	502	0.211	21.12	43.69	
1266	229	723	0.317	31.67	10.56	
1267	222	761	0.292	29.17	2.50	
1268	112	502	0.223	22.31	6.86	
1269	190	646	0.294	29.41	7.10	
1270	294	706	0.416	41.64	12.23	
1271	142	818	0.174	17.36	24.28	
1272	213	694	0.307	30.69	13.33	
1273	175	828	0.211	21.14	9.56	
1274	227	623	0.364	36.44	15.30	
1275	371	625	0.594	59.36	22.92	
1276	287	653	0.440	43.95	15.41	
1277	358	792	0.452	45.20	1.25	
1278	374	905	0.413	41.33	3.88	
1279	341	692	0.493	49.28	7.95	
1280	345	573	0.602	60.21	10.93	
1281	159	613	0.259	25.94	34.27	
1282	156	557	0.280	28.01	2.07	
1283	201	788	0.255	25.51	2.50	
1284	392	734	0.534	53.41	27.90	
1285	119	624	0.191	19.07	34.34	
1286	427	594	0.719	71.89	52.82	
1287	360	597	0.603	60.30	11.58	
1288	393	661	0.595	59.46	0.85	
1289	416	704	0.591	59.09	0.36	
1290	232	874	0.265	26.54	32.55	
1291	168	836	0.201	20.10	6.45	
1292	409	734	0.557	55.72	35.63	
1293	103	525	0.196	19.62	36.10	
1294	201	984	0.204	20.43	0.81	
1295	368	990	0.372	37.17	16.74	
1296	321	881	0.364	36.44	0.74	
1297	296	635	0.466	46.61	10.18	
1298	253	916	0.276	27.62	18.99	
1299	144	769	0.187	18.73	8.89	
1300	159	840	0.189	18.93	0.20	
1301	369	737	0.501	50.07	31.14	
1302	134	759	0.177	17.65	32.41	
1303	279	807	0.346	34.57	16.92	
1304	397	612	0.649	64.87	30.30	
1305	449	861	0.521	52.15	12.72	
1306	219	630	0.348	34.76	17.39	
1307	132	965	0.137	13.68	21.08	
1308	465	572	0.813	81.29	67.61	
1309	329	585	0.562	56.24	25.05	
1310	265	501	0.529	52.89	3.35	
1311	172	853	0.202	20.16	32.73	
1312	377	628	0.600	60.03	39.87	
1313	372	540	0.689	68.89	8.86	
1314	482	620	0.777	77.74	8.85	
1315	475	624	0.761	76.12	1.62	
1316	416	834	0.499	49.88	26.24	
1317	131	610	0.215	21.48	28.40	
1318	303	579	0.523	52.33	30.86	
1319	222	586	0.379	37.88	14.45	
1320	137	939	0.146	14.59	23.29	
1321	207	705	0.294	29.36	14.77	
1322	400	754	0.531	53.05	23.69	
1323	118	760	0.155	15.53	37.52	
1324	404	819	0.493	49.33	33.80	
1325	228	883	0.258	25.82	23.51	
1326	360	970	0.371	37.11	11.29	
1327	156	767	0.203	20.34	16.77	
1328	368	937	0.393	39.27	18.94	
1329	433	535	0.809	80.93	41.66	
1330	347	783	0.443	44.32	36.62	
1331	110	640	0.172	17.19	27.13	
1332	293	589	0.497	49.75	32.56	
1333	159	541	0.294	29.39	20.36	
1334	240	845	0.284	28.40	0.99	
1335	101	830	0.122	12.17	16.23	
1336	272	578	0.471	47.06	34.89	
1337	279	927	0.301	30.10	16.96	
1338	473	562	0.842	84.16	54.07	
1339	173	870	0.199	19.89	64.28	
1340	166	523	0.317	31.74	11.85	
1341	126	859	0.147	14.67	17.07	
1342	374	974	0.384	38.40	23.73	
1343	400	990	0.404	40.40	2.01	
1344	155	570	0.272	27.19	13.21	
1345	270	949	0.285	28.45	1.26	
1346	104	648	0.160	16.05	12.40	
1347	498	792	0.629	62.88	46.83	
1348	405	967	0.419	41.88	21.00	
1349	424	916	0.463	46.29	4.41	
1350	280	673	0.416	41.60	4.68	
1351	474	770	0.616	61.56	19.95	
1352	370	654	0.566	56.57	4.98	
1353	258	748	0.345	34.49	22.08	
1354	153	901	0.170	16.98	17.51	
1355	432	685	0.631	63.07	46.08	
1356	163	541	0.301	30.13	32.94	
1357	471	833	0.565	56.54	26.41	
1358	432	943	0.458	45.81	10.73	
1359	194	607	0.320	31.96	13.85	
1360	247	993	0.249	24.87	7.09	
1361	491	709	0.693	69.25	44.38	
1362	312	660	0.473	47.27	21.98	
1363	189	649	0.291	29.12	18.15	
1364	419	566	0.740	74.03	44.91	
1365	423	676	0.626	62.57	11.45	
1366	487	545	0.894	89.36	26.78	
1367	214	970	0.221	22.06	67.30	
1368	428	635	0.674	67.40	45.34	
1369	429	708	0.606	60.59	6.81	
1370	343	983	0.349	34.89	25.70	
1371	420	922	0.456	45.55	10.66	
1372	215	521	0.413	41.27	4.29	
1373	441	582	0.758	75.77	34.51	
1374	445	883	0.504	50.40	25.38	
1375	194	885	0.219	21.92	28.48	
1376	498	649	0.767	76.73	54.81	
1377	170	976	0.174	17.42	59.32	
1378	359	510	0.704	70.39	52.97	
1379	470	999	0.470	47.05	23.35	
1380	326	940	0.347	34.68	12.37	
1381	142	641	0.222	22.15	12.53	
1382	177	947	0.187	18.69	3.46	
1383	119	572	0.208	20.80	2.11	
1384	116	617	0.188	18.80	2.00	
1385	148	760	0.195	19.47	0.67	
1386	498	976	0.510	51.02	31.55	
1387	195	909	0.215	21.45	29.57	
1388	389	526	0.740	73.95	52.50	
1389	372	788	0.472	47.21	26.75	
1390	123	765	0.161	16.08	31.13	
1391	342	658	0.520	51.98	35.90	
1392	342	737	0.464	46.40	5.57	
1393	356	861	0.413	41.35	5.06	
1394	121	577	0.210	20.97	20.38	
1395	295	509	0.580	57.96	36.99	
1396	218	722	0.302	30.19	27.76	
1397	458	585	0.783	78.29	48.10	
1398	371	602	0.616	61.63	16.66	
1399	280	954	0.294	29.35	32.28	
1400	174	830	0.210	20.96	8.39	
1401	392	524	0.748	74.81	53.85	
1402	170	839	0.203	20.26	54.55	
1403	384	800	0.480	48.00	27.74	
1404	114	845	0.135	13.49	34.51	
1405	275	924	0.298	29.76	16.27	
1406	477	520	0.917	91.73	61.97	
1407	389	601	0.647	64.73	27.01	
1408	330	603	0.547	54.73	10.00	
1409	462	614	0.752	75.24	20.52	
1410	438	943	0.464	46.45	28.80	
1411	124	550	0.225	22.55	23.90	
1412	428	922	0.464	46.42	23.88	
1413	131	782	0.168	16.75	29.67	
1414	262	559	0.469	46.87	30.12	
1415	322	849	0.379	37.93	8.94	
1416	200	801	0.250	24.97	12.96	
1417	280	970	0.289	28.87	3.90	
1418	209	777	0.269	26.90	1.97	
1419	343	728	0.471	47.12	20.22	
1420	255	517	0.493	49.32	2.21	
1421	286	909	0.315	31.46	17.86	
1422	335	815	0.411	41.10	9.64	
1423	204	862	0.237	23.67	17.44	
1424	214	610	0.351	35.08	11.42	
1425	245	616	0.398	39.77	4.69	
1426	233	598	0.390	38.96	0.81	
1427	180	766	0.235	23.50	15.46	
1428	401	634	0.632	63.25	39.75	
1429	133	833	0.160	15.97	47.28	
1430	412	635	0.649	64.88	48.92	
1431	259	534	0.485	48.50	16.38	
1432	318	687	0.463	46.29	2.21	
1433	485	629	0.771	77.11	30.82	
1434	484	668	0.725	72.46	4.65	
1435	331	822	0.403	40.27	32.19	
1436	446	583	0.765	76.50	36.23	
1437	169	603	0.280	28.03	48.47	
1438	215	626	0.343	34.35	6.32	
1439	137	778	0.176	17.61	16.74	
1440	462	620	0.745	74.52	56.91	
1441	284	973	0.292	29.19	45.33	
1442	178	663	0.268	26.85	2.34	
1443	149	711	0.210	20.96	5.89	
1444	397	595	0.667	66.72	45.77	
1445	330	589	0.560	56.03	10.70	
1446	190	870	0.218	21.84	34.19	
1447	345	538	0.641	64.13	42.29	
1448	259	656	0.395	39.48	24.64	
1449	362	770	0.470	47.01	7.53	
1450	298	850	0.351	35.06	11.95	
1451	190	891	0.213	21.32	13.73	
1452	300	928	0.323	32.33	11.00	
1453	373	979	0.381	38.10	5.77	
1454	382	718	0.532	53.20	15.10	
1455	202	631	0.320	32.01	21.19	
1456	128	670	0.191	19.10	12.91	
1457	335	942	0.356	35.56	16.46	
1458	118	603	0.196	19.57	15.99	
1459	280	583	0.480	48.03	28.46	
1460	317	760	0.417	41.71	6.32	
1461	232	926	0.251	25.05	16.66	
1462	488	993	0.491	49.14	24.09	
1463	233	767	0.304	30.38	18.77	
1464	337	954	0.353	35.32	4.95	
1465	360	722	0.499	49.86	14.54	
1466	461	764	0.603	60.34	10.48	
1467	251	796	0.315	31.53	28.81	
1468	394	503	0.783	78.33	46.80	
1469	209	763	0.274	27.39	50.94	
1470	265	777	0.341	34.11	6.71	
1471	187	533	0.351	35.08	0.98	
1472	332	901	0.368	36.85	1.76	
1473	336	960	0.350	35.00	1.85	
1474	345	612	0.564	56.37	21.37	
1475	372	700	0.531	53.14	3.23	
1476	313	879	0.356	35.61	17.53	
1477	445	997	0.446	44.63	9.03	
1478	498	534	0.933	93.26	48.62	
1479	306	524	0.584	58.40	34.86	
1480	453	958	0.473	47.29	11.11	
1481	163	526	0.310	30.99	16.30	
1482	335	865	0.387	38.73	7.74	
1483	479	531	0.902	90.21	51.48	
1484	449	585	0.768	76.75	13.46	
1485	133	826	0.161	16.10	60.65	
1486	363	595	0.610	61.01	44.91	
1487	220	543	0.405	40.52	20.49	
1488	349	793	0.440	44.01	3.49	
1489	145	534	0.272	27.15	16.86	
1490	454	537	0.845	84.54	57.39	
1491	497	591	0.841	84.09	0.45	
1492	122	668	0.183	18.26	65.83	
1493	375	914	0.410	41.03	22.76	
1494	290	537	0.540	54.00	12.98	
1495	404	749	0.539	53.94	0.07	MATCH
1496	405	607	0.667	66.72	12.78	
1497	210	884	0.238	23.76	42.97	
1498	400	860	0.465	46.51	22.76	
1499	333	734	0.454	45.37	1.14	
1500	435	641	0.679	67.86	22.49	
1501	484	589	0.822	82.17	14.31	
1502	241	739	0.326	32.61	49.56	
1503	291	957	0.304	30.41	2.20	
1504	121	989	0.122	12.23	18.17	
1505	393	767	0.512	51.24	39.00	
1506	289	831	0.348	34.78	16.46	
1507	370	841	0.440	44.00	9.22	
1508	147	531	0.277	27.68	16.31	
1509	445	895	0.497	49.72	22.04	
1510	439	730	0.601	60.14	10.42	
1511	364	788	0.462	46.19	13.94	
1512	290	989	0.293	29.32	16.87	
1513	380	667	0.570	56.97	27.65	
1514	491	643	0.764	76.36	19.39	
1515	221	787	0.281	28.08	48.28	
1516	340	989	0.344	34.38	6.30	
1517	475	858	0.554	55.36	20.98	
1518	495	718	0.689	68.94	13.58	
1519	364	532	0.684	68.42	0.52	
1520	334	579	0.577	57.69	10.74	
1521	317	876	0.362	36.19	21.50	
1522	145	888	0.163	16.33	19.86	
1523	344	817	0.421	42.11	25.78	
1524	351	925	0.379	37.95	4.16	
1525	200	880	0.227	22.73	15.22	
1526	191	684	0.279	27.92	5.20	
1527	233	830	0.281	28.07	0.15	
1528	377	622	0.606	60.61	32.54	
1529	107	613	0.175	17.46	43.16	
1530	146	526	0.278	27.76	10.30	
1531	341	880	0.388	38.75	10.99	
1532	239	898	0.266	26.61	12.14	
1533	162	554	0.292	29.24	2.63	
1534	346	985	0.351	35.13	5.89	
1535	242	964	0.251	25.10	10.02	
1536	139	985	0.141	14.11	10.99	
1537	382	957	0.399	39.92	25.80	
1538	383	826	0.464	46.37	6.45	
1539	444	824	0.539	53.88	7.52	
1540	469	517	0.907	90.72	36.83	
1541	401	969	0.414	41.38	49.33	
1542	277	944	0.293	29.34	12.04	
1543	219	704	0.311	31.11	1.76	
1544	283	553	0.512	51.18	20.07	
1545	440	839	0.524	52.44	1.27	
1546	190	999	0.190	19.02	33.42	
1547	133	589	0.226	22.58	3.56	
1548	274	678	0.404	40.41	17.83	
1549	100	510	0.196	19.61	20.81	
1550	342	757	0.452	45.18	25.57	
1551	395	761	0.519	51.91	6.73	
1552	278	576	0.483	48.26	3.64	
1553	198	820	0.241	24.15	24.12	
1554	156	511	0.305	30.53	6.38	
1555	148	831	0.178	17.81	12.72	
1556	118	731	0.161	16.14	1.67	
1557	112	721	0.155	15.53	0.61	
1558	477	647	0.737	73.72	58.19	
1559	290	759	0.382	38.21	35.52	
1560	277	541	0.512	51.20	12.99	
1561	307	628	0.489	48.89	2.32	
1562	178	774	0.230	23.00	25.89	
1563	217	921	0.236	23.56	0.56	
1564	384	530	0.725	72.45	48.89	
1565	221	582	0.380	37.97	34.48	
1566	246	722	0.341	34.07	3.90	
1567	482	554	0.870	87.00	52.93	
1568	326	839	0.389	38.86	48.15	
1569	111	596	0.186	18.62	20.23	
1570	403	656	0.614	61.43	42.81	
1571	365	724	0.504	50.41	11.02	
1572	193	511	0.378	37.77	12.65	
1573	369	732	0.504	50.41	12.64	
1574	239	706	0.339	33.85	16.56	
1575	166	717	0.232	23.15	10.70	
1576	257	785	0.327	32.74	9.59	
1577	429	883	0.486	48.58	15.85	
1578	160	651	0.246	24.58	24.01	
1579	227	928	0.245	24.46	0.12	
1580	288	529	0.544	54.44	29.98	
1581	233	855	0.273	27.25	27.19	
1582	216	687	0.314	31.44	4.19	
1583	322	654	0.492	49.24	17.79	
1584	322	736	0.438	43.75	5.49	
1585	101	570	0.177	17.72	26.03	
1586	253	893	0.283	28.33	10.61	
1587	496	980	0.506	50.61	22.28	
1588	399	673	0.593	59.29	8.67	
1589	199	715	0.278	27.83	31.45	
1590	200	605	0.331	33.06	5.23	
1591	165	953	0.173	17.31	15.74	
1592	497	949	0.524	52.37	35.06	
1593	300	525	0.571	57.14	4.77	
1594	326	528	0.617	61.74	4.60	
1595	419	820	0.511	51.10	10.64	
1596	224	832	0.269	26.92	24.17	
1597	158	501	0.315	31.54	4.61	
1598	485	831	0.584	58.36	26.83	
1599	314	705	0.445	44.54	13.82	
1600	339	735	0.461	46.12	1.58	
1601	151	666	0.227	22.67	23.45	
1602	362	947	0.382	38.23	15.55	
1603	371	959	0.387	38.69	0.46	
1604	474	892	0.531	53.14	14.45	
1605	343	564	0.608	60.82	7.68	
1606	266	666	0.399	39.94	20.88	
1607	106	584	0.182	18.15	21.79	
1608	335	834	0.402	40.17	22.02	
1609	317	757	0.419	41.88	1.71	
1610	467	915	0.510	51.04	9.16	
1611	174	871	0.200	19.98	31.06	
1612	141	901	0.156	15.65	4.33	
1613	372	715	0.520	52.03	36.38	
1614	374	572	0.654	65.38	13.36	
1615	174	716	0.243	24.30	41.08	
1616	379	796	0.476	47.61	23.31	
1617	284	552	0.514	51.45	3.84	
1618	385	761	0.506	50.59	0.86	
1619	251	572	0.439	43.88	6.71	
1620	499	796	0.627	62.69	18.81	
1621	429	842	0.510	50.95	11.74	
1622	204	873	0.234	23.37	27.58	
1623	438	613	0.715	71.45	48.08	
1624	262	790	0.332	33.16	38.29	
1625	446	851	0.524	52.41	19.24	
1626	120	976	0.123	12.30	40.11	
1627	399	595	0.671	67.06	54.76	
1628	463	674	0.687	68.69	1.64	
1629	235	717	0.328	32.78	35.92	
1630	459	977	0.470	46.98	14.21	
1631	434	931	0.466	46.62	0.36	
1632	115	671	0.171	17.14	29.48	
1633	291	606	0.480	48.02	30.88	
1634	145	729	0.199	19.89	28.13	
1635	356	664	0.536	53.61	33.72	
1636	182	648	0.281	28.09	25.53	
1637	118	777	0.152	15.19	12.90	
1638	401	577	0.695	69.50	54.31	
1639	382	846	0.452	45.15	24.34	
1640	389	941	0.413	41.34	3.81	
1641	407	939	0.433	43.34	2.00	
1642	200	919	0.218	21.76	21.58	
1643	480	748	0.642	64.17	42.41	
1644	242	918	0.264	26.36	37.81	
1645	136	823	0.165	16.52	9.84	
1646	212	505	0.420	41.98	25.46	
1647	366	730	0.501	50.14	8.16	
1648	157	652	0.241	24.08	26.06	
1649	173	749	0.231	23.10	0.98	
1650	172	699	0.246	24.61	1.51	
1651	292	537	0.544	54.38	29.77	
1652	438	792	0.553	55.30	0.93	
1653	385	569	0.677	67.66	12.36	
1654	301	751	0.401	40.08	27.58	
1655	310	908	0.341	34.14	5.94	
1656	480	726	0.661	66.12	31.97	
1657	375	989	0.379	37.92	28.20	
1658	234	645	0.363	36.28	1.64	
1659	455	546	0.833	83.33	47.05	
1660	261	918	0.284	28.43	54.90	
1661	141	532	0.265	26.50	1.93	
1662	154	858	0.179	17.95	8.56	
1663	287	632	0.454	45.41	27.46	
1664	348	746	0.466	46.65	1.24	
1665	496	746	0.665	66.49	19.84	
1666	399	864	0.462	46.18	20.31	
1667	265	782	0.339	33.89	12.29	
1668	417	664	0.628	62.80	28.91	
1669	218	798	0.273	27.32	35.48	
1670	106	883	0.120	12.00	15.31	
1671	165	796	0.207	20.73	8.72	
1672	143	548	0.261	26.09	5.37	
1673	301	938	0.321	32.09	5.99	
1674	260	690	0.377	37.68	5.59	
1675	459	721	0.637	63.66	25.98	
1676	383	639	0.599	59.94	3.72	
1677	456	762	0.598	59.84	0.09	MATCH
1678	174	771	0.226	22.57	37.27	
1679	461	773	0.596	59.64	37.07	
1680	457	987	0.463	46.30	13.34	
1681	354	904	0.392	39.16	7.14	
1682	133	635	0.209	20.94	18.21	
1683	246	528	0.466	46.59	25.65	
1684	362	862	0.420	42.00	4.60	
1685	319	785	0.406	40.64	1.36	
1686	195	553	0.353	35.26	5.37	
1687	223	719	0.310	31.02	4.25	
1688	248	802	0.309	30.92	0.09	MATCH
1689	323	624	0.518	51.76	20.84	
1690	176	958	0.184	18.37	33.39	
1691	352	858	0.410	41.03	22.65	
1692	203	672	0.302	30.21	10.82	
1693	262	818	0.320	32.03	1.82	
1694	176	974	0.181	18.07	13.96	
1695	495	978	0.506	50.61	32.54	
1696	104	608	0.171	17.11	33.51	
1697	164	907	0.181	18.08	0.98	
1698	154	603	0.255	25.54	7.46	
1699	118	720	0.164	16.39	9.15	
1700	157	902	0.174	17.41	1.02	
1701	392	580	0.676	67.59	50.18	
1702	344	945	0.364	36.40	31.18	
1703	169	946	0.179	17.86	18.54	
1704	499	692	0.721	72.11	54.25	
1705	403	791	0.509	50.95	21.16	
1706	162	662	0.245	24.47	26.48	
1707	324	851	0.381	38.07	13.60	
1708	156	811	0.192	19.24	18.84	
1709	146	900	0.162	16.22	3.01	
1710	297	864	0.344	34.38	18.15	
1711	176	985	0.179	17.87	16.51	
1712	282	916	0.308	30.79	12.92	
1713	387	681	0.568	56.83	26.04	
1714	148	947	0.156	15.63	41.20	
1715	369	787	0.469	46.89	31.26	
1716	414	583	0.710	71.01	24.13	
1717	394	992	0.397	39.72	31.29	
1718	224	569	0.394	39.37	0.35	
1719	380	571	0.665	66.55	27.18	
1720	428	844	0.507	50.71	15.84	
1721	359	711	0.505	50.49	0.22	
1722	327	861	0.380	37.98	12.51	
1723	272	718	0.379	37.88	0.10	MATCH
1724	466	875	0.533	53.26	15.37	
1725	398	571	0.697	69.70	16.45	
1726	206	957	0.215	21.53	48.18	
1727	448	723	0.620	61.96	40.44	
1728	187	981	0.191	19.06	42.90	
1729	313	958	0.327	32.67	13.61	
1730	307	500	0.614	61.40	28.73	
1731	326	752	0.434	43.35	18.05	
1732	217	896	0.242	24.22	19.13	
1733	164	637	0.257	25.75	1.53	
1734	360	909	0.396	39.60	13.86	
1735	122	716	0.170	17.04	22.56	
1736	221	751	0.294	29.43	12.39	
1737	367	514	0.714	71.40	41.97	
1738	242	691	0.350	35.02	36.38	
1739	401	892	0.450	44.96	9.93	
1740	445	564	0.789	78.90	33.95	
1741	174	871	0.200	19.98	58.92	
1742	213	647	0.329	32.92	12.94	
1743	328	691	0.475	47.47	14.55	
1744	457	622	0.735	73.47	26.01	
1745	369	942	0.392	39.17	34.30	
1746	366	846	0.433	43.26	4.09	
1747	262	766	0.342	34.20	9.06	
1748	312	654	0.477	47.71	13.50	
1749	449	723	0.621	62.10	14.40	
1750	353	849	0.416	41.58	20.52	
1751	397	573	0.693	69.28	27.71	
1752	171	674	0.254	25.37	43.91	
1753	105	605	0.174	17.36	8.02	
1754	385	819	0.470	47.01	29.65	
1755	199	900	0.221	22.11	24.90	
1756	108	970	0.111	11.13	10.98	
1757	337	505	0.667	66.73	55.60	
1758	297	990	0.300	30.00	36.73	
1759	171	831	0.206	20.58	9.42	
1760	410	850	0.482	48.24	27.66	
1761	197	906	0.217	21.74	26.49	
1762	121	528	0.229	22.92	1.17	
1763	177	872	0.203	20.30	2.62	
1764	287	676	0.425	42.46	22.16	
1765	299	657	0.455	45.51	3.05	
1766	395	585	0.675	67.52	22.01	
1767	213	763	0.279	27.92	39.61	
1768	438	850	0.515	51.53	23.61	
1769	238	937	0.254	25.40	26.13	
1770	137	564	0.243	24.29	1.11	
1771	304	503	0.604	60.44	36.15	
1772	379	602	0.630	62.96	2.52	
1773	281	770	0.365	36.49	26.46	
1774	433	925	0.468	46.81	10.32	
1775	305	730	0.418	41.78	5.03	
1776	283	537	0.527	52.70	10.92	
1777	191	543	0.352	35.17	17.53	
1778	315	863	0.365	36.50	1.33	
1779	327	713	0.459	45.86	9.36	
1780	110	670	0.164	16.42	29.44	
1781	164	557	0.294	29.44	13.03	
1782	186	861	0.216	21.60	7.84	
1783	209	832	0.251	25.12	3.52	
1784	211	665	0.317	31.73	6.61	
1785	431	755	0.571	57.09	25.36	
1786	294	783	0.375	37.55	19.54	
1787	141	826	0.171	17.07	20.48	
1788	297	586	0.507	50.68	33.61	
1789	247	858	0.288	28.79	21.89	
1790	224	784	0.286	28.57	0.22	
1791	433	714	0.606	60.64	32.07	
1792	452	937	0.482	48.24	12.41	
1793	238	869	0.274	27.39	20.85	
1794	218	865	0.252	25.20	2.19	
1795	400	907	0.441	44.10	18.90	
1796	174	625	0.278	27.84	16.26	
1797	135	770	0.175	17.53	10.31	
1798	322	569	0.566	56.59	39.06	
1799	414	970	0.427	42.68	13.91	
1800	423	754	0.561	56.10	13.42	
1801	202	663	0.305	30.47	25.63	
1802	313	627	0.499	49.92	19.45	
1803	402	714	0.563	56.30	6.38	
1804	256	524	0.489	48.85	7.45	
1805	479	759	0.631	63.11	14.25	
1806	238	538	0.442	44.24	18.87	
1807	262	613	0.427	42.74	1.50	
1808	485	878	0.552	55.24	12.50	
1809	482	553	0.872	87.16	31.92	
1810	355	855	0.415	41.52	45.64	
1811	327	983	0.333	33.27	8.25	
1812	356	681	0.523	52.28	19.01	
1813	117	780	0.150	15.00	37.28	
1814	363	616	0.589	58.93	43.93	
1815	180	727	0.248	24.76	34.17	
1816	232	788	0.294	29.44	4.68	
1817	341	520	0.656	65.58	36.14	
1818	435	730	0.596	59.59	5.99	
1819	366	568	0.644	64.44	4.85	
1820	488	815	0.599	59.88	4.56	
1821	337	535	0.630	62.99	3.11	
1822	217	823	0.264	26.37	36.62	
1823	191	594	0.322	32.15	5.79	
1824	302	861	0.351	35.08	2.92	
1825	443	978	0.453	45.30	10.22	
1826	378	931	0.406	40.60	4.70	
1827	284	879	0.323	32.31	8.29	
1828	464	718	0.646	64.62	32.31	
1829	315	976	0.323	32.27	32.35	
1830	238	989	0.241	24.06	8.21	
1831	255	807	0.316	31.60	7.53	
1832	377	816	0.462	46.20	14.60	
1833	206	610	0.338	33.77	12.43	
1834	219	893	0.245	24.52	9.25	
1835	175	884	0.198	19.80	4.73	
1836	153	747	0.205	20.48	0.69	
1837	468	525	0.891	89.14	68.66	
1838	332	972	0.342	34.16	54.99	
1839	170	823	0.207	20.66	13.50	
1840	332	767	0.433	43.29	22.63	
1841	326	787	0.414	41.42	1.86	
1842	486	978	0.497	49.69	8.27	
1843	345	822	0.420	41.97	7.72	
1844	435	993	0.438	43.81	1.84	
1845	443	584	0.759	75.86	32.05	
1846	233	762	0.306	30.58	45.28	
1847	491	628	0.782	78.18	47.61	
1848	476	646	0.737	73.68	4.50	
1849	217	745	0.291	29.13	44.56	
1850	100	842	0.119	11.88	17.25	
1851	455	512	0.889	88.87	76.99	
1852	491	711	0.691	69.06	19.81	
1853	155	605	0.256	25.62	43.44	
1854	193	913	0.211	21.14	4.48	
1855	356	999	0.356	35.64	14.50	
1856	363	530	0.685	68.49	32.85	
1857	258	595	0.434	43.36	25.13	
1858	356	577	0.617	61.70	18.34	
1859	385	687	0.560	56.04	5.66	
1860	466	615	0.758	75.77	19.73	
1861	407	726	0.561	56.06	19.71	
1862	426	804	0.530	52.99	3.08	
1863	268	765	0.350	35.03	17.95	
1864	255	672	0.379	37.95	2.91	
1865	478	956	0.500	50.00	12.05	
1866	470	981	0.479	47.91	2.09	
1867	345	991	0.348	34.81	13.10	
1868	255	523	0.488	48.76	13.94	
1869	125	767	0.163	16.30	32.46	
1870	286	599	0.477	47.75	31.45	
1871	361	660	0.547	54.70	6.95	
1872	473	930	0.509	50.86	3.84	
1873	388	816	0.475	47.55	3.31	
1874	355	589	0.603	60.27	12.72	
1875	232	731	0.317	31.74	28.53	
1876	444	764	0.581	58.12	26.38	
1877	216	841	0.257	25.68	32.43	
1878	299	518	0.577	57.72	32.04	
1879	439	840	0.523	52.26	5.46	
1880	164	806	0.203	20.35	31.91	
1881	453	513	0.883	88.30	67.96	
1882	360	993	0.363	36.25	52.05	
1883	417	641	0.651	65.05	28.80	
1884	216	754	0.286	28.65	36.41	
1885	223	743	0.300	30.01	1.37	
1886	439	523	0.839	83.94	53.93	
1887	379	746	0.508	50.80	33.13	
1888	166	747	0.222	22.22	28.58	
1889	221	779	0.284	28.37	6.15	
1890	456	508	0.898	89.76	61.39	
1891	496	915	0.542	54.21	35.56	
1892	449	791	0.568	56.76	2.56	
1893	497	844	0.589	58.89	2.12	
1894	376	707	0.532	53.18	5.70	
1895	311	752	0.414	41.36	11.83	
1896	326	829	0.393	39.32	2.03	
1897	356	886	0.402	40.18	0.86	
1898	123	990	0.124	12.42	27.76	
1899	148	660	0.224	22.42	10.00	
1900	110	999	0.110	11.01	11.41	

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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Wed Apr-06-05 10:13 PM
Response to Reply #90
92. Sigh
Edited on Wed Apr-06-05 10:16 PM by adolfo
TIA,

I agree, the results are highly unlikely in the real world. This issue will probably never be resolved until someone goes on-site and count the damn ballots for the precincts!

The ballots are still sitting in the SOE warehouses just waiting for us. Same case for Ohio, except it is free to inspect over there. One person can easily count 1 precinct in one afternoon, any volunteers out there?
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minvis Donating Member (334 posts) Send PM | Profile | Ignore Thu Apr-07-05 11:35 AM
Response to Reply #92
125. We're already doing it in Ohio
Edited on Thu Apr-07-05 11:36 AM by minvis
Check out this link. We've already targeted certain precincts in S.W. Ohio where the exit poll numbers and "actual" vote counts are way off. We are inspecting the ballots for a precinct in Hamilton County that was an exit poll precinct for any anomalies.

http://www.democraticunderground.com/discuss/duboard.ph...
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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Thu Apr-07-05 11:44 AM
Response to Reply #125
127. You made my day!
Thanks :)
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 11:00 PM
Response to Reply #90
95. If you change your RandBetween to be
Edited on Wed Apr-06-05 11:06 PM by qwghlmian
between 20 and 60, you will easily get 14 matches. Same if you do it between 40 and 80. Etc. There is this thing called "real life", which is something you apparently are not aware of. In real life, those percentages are not evenly and randomly distributed between 0 and 100.
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 11:11 PM
Response to Reply #95
99. From 3-10, average of 6. Never once above 10. The odds are astronomical
So 14 is out of the question.

Keep rigging the numbers to force your result. Why not between 30 and 40?

The simulation is based on a "REAL" range of votes and egistrations, as given in the original post. I have shown that it is highly improbable, regardless.

So you lose.
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Wed Apr-06-05 11:14 PM
Response to Reply #99
100. The "real" range of percentages
was NOT evenly distributed over 100%, so your simulation is fraudulent. But then that's nothing new.
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 11:48 PM
Response to Reply #95
102. FYI...
Using the binomial function, here are the probabilities of
getting at least 14 matches in 1900 precincts, based on
individual match probabilities from .001 to .005:

prob prob
match 14 or more matches
 
.001 1 in 66 million
.002 1 in 23,000
.003 1 in 439
.004 1 in 43
.005 1 in 10
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WI Independent Donating Member (156 posts) Send PM | Profile | Ignore Wed Apr-06-05 11:11 PM
Response to Reply #90
98. Why are you doing random simulations?
The percentages are not a random event. The percentage of votes Kerry received compared to registered Democrats, or Bush received compared to registered Republicans, is based on all sorts of legitimate factors... voter turnout and demographics of the neightborhood being the most obvious. Doesn't it make sense that adjacent neighborhoods would have simular voting patterns? Even to the point of being within .1% if the demographics are the same.

You're off on a tangent... the real question is why was there such a huge number of pro-Bush registered Democrats in some precincts? Or even entire counties... follow the link in the original post... Baker county seems to have had a mass exodus of Democrats to the Bush camp. Could there be a legitimate reason for this? Possibly... maybe there's some local issue that caused it... it does seem suspicious though.
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 11:24 PM
Response to Reply #98
101. I understand your point, but this is one way to show that
Edited on Wed Apr-06-05 11:27 PM by TruthIsAll
there may very well be a non-random cause for the ratios to match within 0.1%.

Granted, there is much real evidence of fraud, in the tangible data of switching BBV votes from Kerry to Bush, and in the final exit poll impossible weightings, so why even bother with this?

Well, you never know what you can come up with until you run the numbers. I didn't bring up the topic. I'm only attempting to help the original poster as to whether or not it is a smoking gun. I don't believe it is. But it is still worthwhile to debate the issue and run some numbers.

That's what I did early on as soon as the state and national exit poll data was made available. And we learned a lot from them, didn't we?
Sometimes, things are not clear until you run the numbers.




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eomer Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 05:31 AM
Response to Reply #90
105. Simulations for 1900 with different standard deviations
I reran my simulation based on random numbers following a
normal distribution (see post #84).  This time I used 1900
cells.

When I run it with mean of 50 and standard deviation of 10
then 14 adjacent matches doesn't look very plausible.  Here
are the results of 10 runs:

Adjacent
Matches Low     High    Mean    Std. Dev.
5	79.0	22.2	43.05	9.950270179
7	81.8	15.1	52.25	9.989148822
4	87.4	18.1	57.45	10.33790141
5	86.7	18.4	61	10.51818185
5	83.3	13.9	56	9.977940288
6	80.8	19.1	45.05	10.39041616
8	75.3	22.4	51.8	9.618794217
6	82.1	12.6	46.35	10.15525224
4	85.6	15.4	52.75	10.21499543
5	78.9	21	52.5	10.14518497

To make 14 adjacent matches plausible you would need to
compress the range to a standard deviation of about 5.  Here
are the results of 10 runs with mean of 50 and standard
deviation of 5:

Adjacent
Matches Low     High    Mean    Std. Dev.
9	65.6	35	43.4	5.21262738
7	67.0	35.8	53.7	4.960171709
11	68.3	31.7	40.75	5.209473996
7	65.6	34.3	52.4	4.929603358
5	64.7	34.6	52.5	4.82039827
15	64.5	34.9	53.35	4.897350047
6	64.6	34.4	49.8	5.087871329
7	64.2	35.2	47.5	4.999205611
7	65.7	32.9	51.9	5.103535194
13	66.9	33.8	44	5.028173083

And here is the last run that produced 13 matches:

Unrounded       Rounded Match?
44.07669975	44.1	
40.13089109	40.1	
51.18270691	51.2	
44.02311914	44	
42.9048272	42.9	
49.28402303	49.3	
50.96350163	51	
41.50440999	41.5	
55.69641543	55.7	
52.30970727	52.3	
57.40712949	57.4	
42.08466761	42.1	
55.29342969	55.3	
57.86747023	57.9	
52.62863296	52.6	
49.60198238	49.6	
46.36709163	46.4	
51.79601329	51.8	
43.0714921	43.1	
58.48910986	58.5	
52.29269972	52.3	
45.42778824	45.4	
44.02781441	44	
44.04261644	44	Match
53.31207275	53.3	
47.32249307	47.3	
54.9060759	54.9	
51.61962816	51.6	
50.86432124	50.9	
52.08390247	52.1	
50.81079179	50.8	
37.31327651	37.3	
51.90332798	51.9
42.8028501	42.8
49.6269139	49.6
50.48595439	50.5
46.28492446	46.3
66.48586476	66.5
43.10825842	43.1
48.49324013	48.5
43.87273419	43.9
53.15600346	53.2
56.33599484	56.3
48.39729412	48.4
47.76916297	47.8
39.01466824	39
52.89915079	52.9
51.28364945	51.3
51.23035306	51.2
47.05911478	47.1
57.67299753	57.7
46.24903921	46.2
57.56551799	57.6
49.42904196	49.4
48.07444624	48.1
51.73007493	51.7
48.17580374	48.2
49.69438704	49.7
52.76577339	52.8
48.90836193	48.9
42.57217951	42.6
48.03690685	48
51.95813641	52
45.73856257	45.7
41.04538801	41
41.09438704	41.1
44.88538833	44.9
57.02573288	57
48.37916107	48.4
59.28125701	59.3
45.36173618	45.4
49.95544044	50
48.91737161	48.9
48.64704705	48.6
52.20045422	52.2
49.54170562	49.5
56.93050879	56.9
49.25425413	49.3
50.72641342	50.7
51.51757149	51.5
46.91556241	46.9
43.68444605	43.7
56.31725925	56.3
45.53880343	45.5
44.18938614	44.2
58.62644356	58.6
55.06515789	55.1
50.38420467	50.4
48.26586077	48.3
56.21491836	56.2
51.23587256	51.2
59.47675289	59.5
54.44697434	54.4
51.66201062	51.7
58.67255494	58.7
52.68236136	52.7
50.82823703	50.8
47.5790729	47.6
52.40073632	52.4
48.51443704	48.5
48.61130391	48.6
58.70197709	58.7
47.02311584	47
48.4178146	48.4
42.80930751	42.8
40.51865416	40.5
48.22314862	48.2
46.41424893	46.4
44.510938	44.5
57.50833351	57.5
47.84454303	47.8
49.02597665	49
54.14273131	54.1
52.93269977	52.9
48.64824076	48.6
53.95165216	54
51.73373564	51.7
53.41422037	53.4
52.07805897	52.1
55.56942723	55.6
54.62123353	54.6
51.66928658	51.7
50.03843752	50
50.49710138	50.5
47.80544613	47.8
45.31803496	45.3
53.22021378	53.2
37.37912392	37.4
41.7409923	41.7
52.82301471	52.8
56.06772801	56.1
52.73463456	52.7
45.66884981	45.7
49.84717078	49.8
43.08743099	43.1
45.08029305	45.1
56.84458428	56.8
49.09721851	49.1
55.50586492	55.5
46.82062253	46.8
50.36503138	50.4
43.85486262	43.9
49.28440957	49.3
42.57447598	42.6
46.7750739	46.8
44.68709575	44.7
51.81479436	51.8
51.68304268	51.7
56.43453859	56.4
54.35625225	54.4
44.66688223	44.7
55.5474402	55.5
47.64210088	47.6
45.36996711	45.4
45.97949909	46
39.30343281	39.3
45.42894784	45.4
50.63993184	50.6
50.44638568	50.4
53.17002105	53.2
54.81527422	54.8
49.39283271	49.4
48.30399702	48.3
47.79448672	47.8
52.96365101	53
59.93154572	59.9
51.0513304	51.1
44.93867335	44.9
47.15812464	47.2
53.9146471	53.9
55.29745421	55.3
53.62294941	53.6
52.21816663	52.2
49.90992023	49.9
50.83560394	50.8
53.70047246	53.7
46.91648895	46.9	
54.02843625	54	
51.74998718	51.7	
61.5347575	61.5	
48.43067826	48.4	
66.88604243	66.9	
56.8484951	56.8	
56.55187478	56.6	
59.53027666	59.5	
49.08360451	49.1	
47.17608716	47.2	
58.41566816	58.4	
58.42674126	58.4	Match
46.40533588	46.4	
45.11430815	45.1	
52.46316176	52.5	
54.04539264	54
44.79681492	44.8
50.11877432	50.1
47.94609948	47.9
58.46976036	58.5
53.42872681	53.4
41.2630301	41.3
54.40114718	54.4
42.63839072	42.6
52.49647201	52.5
54.02684464	54
51.62486913	51.6
45.2210942	45.2
50.16507329	50.2
52.10603162	52.1
56.32235242	56.3
59.11913958	59.1
49.78784331	49.8
44.93419409	44.9
53.83511178	53.8
50.66307848	50.7
43.82628175	43.8
55.90482614	55.9
50.20755806	50.2
49.13218289	49.1
52.36559572	52.4
42.84782461	42.8
50.77477011	50.8
46.9929263	47
51.43766101	51.4
53.02038075	53
54.37136123	54.4
47.83320845	47.8
54.83904614	54.8
49.76870413	49.8
49.86476951	49.9
56.21078016	56.2
41.94503744	41.9
33.8299118	33.8
53.19860192	53.2
52.43039722	52.4
44.95969405	45
56.56000338	56.6
48.53880581	48.5
52.08681854	52.1
50.08472512	50.1
59.80548975	59.8
59.7281827	59.7
40.12552507	40.1
49.42904196	49.4
53.46072966	53.5
50.94869961	50.9
58.20118657	58.2
54.62416665	54.6
46.29902732	46.3
48.61408924	48.6
55.82265329	55.8
51.90538003	51.9
52.75864522	52.8
52.69429847	52.7
54.08798542	54.1
59.50685717	59.5
51.34660922	51.3
45.81343673	45.8
48.6791579	48.7
57.72179192	57.7
46.33664629	46.3
45.42081923	45.4
50.93118047	50.9
39.4602297	39.5
47.25648081	47.3
52.73996648	52.7
42.95987436	43
51.13908527	51.1
46.1520416	46.2
46.34164851	46.3
54.5224624	54.5
52.85536998	52.9
40.16818037	40.2
52.39215296	52.4
51.89634193	51.9
47.9540064	48
53.79621952	53.8
51.42889007	51.4
44.10208602	44.1
53.14900035	53.1
49.09060762	49.1
48.39004658	48.4
40.12552507	40.1
49.24883696	49.2
43.44452135	43.4
56.57813644	56.6
45.73911964	45.7
50.07937047	50.1
49.55822432	49.6
44.25871238	44.3
49.3847382	49.4
47.45053287	47.5
49.87816182	49.9
49.66640871	49.7
42.4428721	42.4
52.51381493	52.5
39.924072	39.9
51.8282833	51.8
53.02496801	53
54.35177867	54.4
50.45598654	50.5
39.59065124	39.6
47.88309424	47.9
47.22753046	47.2
51.47397259	51.5
55.49605375	55.5
50.91211518	50.9
45.54107717	45.5
47.90483116	47.9
53.84538907	53.8
51.85571025	51.9
48.04722961	48
46.22669975	46.2
49.59161983	49.6
43.95378154	44
50.97558086	51
57.14260295	57.1
47.96564225	48
45.81724524	45.8
47.65918801	47.7
46.58867864	46.6
64.37947503	64.4
49.99024567	50
45.39808186	45.4
53.6563506	53.7
43.19716153	43.2
49.57626642	49.6
40.71446837	40.7
51.02904778	51
51.56369993	51.6
51.77970492	51.8
40.81965143	40.8
49.15935405	49.2
46.63822905	46.6
58.23367827	58.2
47.12344447	47.1
54.8531092	54.9
50.11915517	50.1
42.42122612	42.4
49.23452378	49.2
47.95816166	48
51.52999746	51.5
44.61866764	44.6
42.48575477	42.5
51.95731218	52
54.78071343	54.8
57.02573288	57
60.93039828	60.9
52.15629825	52.2
55.13724672	55.1
50.67426527	50.7
48.99008571	49
45.42778824	45.4
48.62004643	48.6
42.72768036	42.7
46.00692036	46
48.15862566	48.2
48.64903089	48.6
56.6036705	56.6
56.26491783	56.3
51.81193514	51.8
55.99959549	56
48.13773002	48.1
56.26744168	56.3
46.99658702	47
43.3102572	43.3
49.02324817	49
52.00695922	52
41.55579644	41.6
53.70298494	53.7
57.133076	57.1
58.5101874	58.5
49.63305299	49.6
47.89981757	47.9
46.68125952	46.7
45.85295427	45.9
39.80165401	39.8
53.81870677	53.8
53.37472557	53.4
63.90108082	63.9
50.98923465	51
56.82218797	56.8
40.75280357	40.8
52.92861841	52.9
53.69443569	53.7
40.88690856	40.9
46.39989028	46.4
49.55552994	49.6
47.79616928	47.8
49.02714762	49
50.60369985	50.6
41.67134774	41.7
44.90599976	44.9
54.61478749	54.6
58.0423888	58
49.10188535	49.1
45.8362082	45.8
48.16271838	48.2
50.59445142	50.6
47.04409674	47
56.3573907	56.4
58.42831014	58.4
49.70856948	49.7
64.0935299	64.1
45.60053539	45.6
53.99571718	54
52.05264996	52.1
60.07883839	60.1
57.1479235	57.1
53.85105068	53.9
49.25657335	49.3
48.08638904	48.1
52.51554866	52.5
52.4295332	52.4
49.33383492	49.3
41.4388809	41.4
54.30117097	54.3
54.42033752	54.4
51.04546416	51
48.74321475	48.7
50.53440203	50.5
55.4197244	55.4
51.04702735	51
45.08711426	45.1
48.11763018	48.1
60.60770956	60.6
39.26541593	39.3
42.8392981	42.8
44.68036549	44.7
50.30254341	50.3
44.81517534	44.8
57.02880243	57
47.67283043	47.7
50.29219791	50.3
51.08968266	51.1
46.3596224	46.4
53.26269287	53.3
49.82535428	49.8
42.49519078	42.5
50.19492745	50.2
46.38996542	46.4
49.54132477	49.5
48.21703796	48.2
45.63648316	45.6
54.67071004	54.7
59.33100637	59.3
51.77970492	51.8
43.97755346	44
48.14388048	48.1
53.61251296	53.6
46.47188815	46.5
56.19015736	56.2
51.67090661	51.7
41.7409923	41.7
46.39145472	46.4
54.54323299	54.5
53.43065949	53.4
42.74634774	42.7
52.59487365	52.6
52.40717668	52.4
54.27850182	54.3
52.97368388	53
43.20198185	43.2
46.85193188	46.9
50.29602916	50.3
43.52231725	43.5
51.83850943	51.8
53.17376134	53.2
44.98443231	45
51.29194859	51.3
46.05722678	46.1
55.12624183	55.1
43.89133336	43.9
51.4368652	51.4
48.85149009	48.9
42.60774075	42.6
50.91211518	50.9
46.14740886	46.1
49.75797778	49.8
50.83443865	50.8
53.71305759	53.7
43.34659151	43.3
55.52624897	55.5
46.07546783	46.1
38.69370756	38.7
61.0813744	61.1
53.53351197	53.5
49.98106546	50
44.84975888	44.8
58.46334842	58.5
52.03601758	52
50.11724524	50.1
52.20931042	52.2
53.27169118	53.3
46.57321155	46.6
56.31216608	56.3
64.47806426	64.5
49.40400812	49.4
50.90045091	50.9
61.63552952	61.6
46.50223685	46.5
58.86848284	58.9
55.7642751	55.8
56.74348257	56.7
61.23353286	61.2
45.18898903	45.2
39.42471393	39.4
57.90196282	57.9
47.56529974	47.6
50.71095769	50.7
55.7642751	55.8
57.73188731	57.7
52.40675035	52.4
44.71793899	44.7
51.89017442	51.9
42.09671842	42.1
55.97922281	56
47.76451887	47.8
49.2944538	49.3
51.19647439	51.2
51.5821854	51.6
51.85571025	51.9
43.36509973	43.4
45.96574298	46
38.84613888	38.8
40.31961124	40.3
50.6002324	50.6
47.50352799	47.5
50.21215669	50.2
50.25236204	50.3
54.6653895	54.7
55.84304871	55.8
51.07010578	51.1
41.71091076	41.7
55.17500212	55.2
50.6445589	50.6
51.05328581	51.1
46.20735025	46.2
44.75322738	44.8
45.32454922	45.3
45.9104116	45.9
53.3531478	53.4
53.5036237	53.5
52.30927526	52.3
38.32972778	38.3
49.19812126	49.2
47.45924129	47.5
50.05565539	50.1
46.25966893	46.3
48.50364247	48.5
51.32163223	51.3
48.77910568	48.8
50.38037342	50.4
47.62626999	47.6
53.04152081	53
55.24942152	55.2
55.88642024	55.9
52.23463985	52.2
57.82033567	57.8
56.40316102	56.4
44.46387164	44.5
48.58226261	48.6
48.58385422	48.6	Match
52.57170996	52.6	
50.7055462	50.7	
34.68920239	34.7	
59.47211447	59.5	
50.22096174	50.2	
56.33514219	56.3	
40.84839146	40.8	
47.26137503	47.3	
50.44101398	50.4	
45.67775149	45.7	
46.22669975	46.2	
43.4472271	43.4	
44.47937853	44.5	
57.79573384	57.8	
51.66686505	51.7	
43.35122993	43.4
42.00465481	42
54.24824975	54.2
44.08903477	44.1
51.13751639	51.1
44.34076017	44.3
50.12298642	50.1
47.42610726	47.4
54.68908183	54.7
56.76443506	56.8
43.7258508	43.7
49.21826657	49.2
48.83891633	48.8
59.76656338	59.8
45.51425844	45.5
47.40293788	47.4
53.86082775	53.9
44.66078862	44.7
47.4896582	47.5
51.45400918	51.5
43.69631496	43.7
49.58317858	49.6
45.97102942	46
37.11209628	37.1
49.70818294	49.7
45.78840288	45.8
63.26116035	63.3
42.62479378	42.6
55.95427991	56
50.85306056	50.9
58.36562322	58.4
50.63723178	50.6
54.00045792	54
51.41017154	51.4
44.84716682	44.8
45.01280854	45
53.88303079	53.9
55.87725708	55.9
49.79741574	49.8
43.26221314	43.3
45.31744379	45.3
46.86730234	46.9
47.35422307	47.4
53.13875148	53.1
58.87216629	58.9
53.28354304	53.3
47.16711727	47.2
52.0743073	52.1
41.63437678	41.6
47.70857926	47.7
53.74033107	53.7
47.93694201	47.9
44.68441274	44.7
58.8446086	58.8
43.09141003	43.1
52.66427378	52.7
46.74014362	46.7
53.39059625	53.4
44.04417395	44
40.10392457	40.1
44.84260798	44.8
44.62139613	44.6
54.27739906	54.3
45.33638402	45.3
52.74529839	52.7
49.76908498	49.8
51.24337021	51.2
53.93077926	53.9
51.13162741	51.1
52.24225118	52.2
51.99080432	52
47.61898835	47.6
43.47869561	43.5
45.77748895	45.8
55.29075805	55.3
51.6879028	51.7
51.88196054	51.9
47.75013748	47.8
47.85419504	47.9
39.98455339	40
53.68439714	53.7
53.3756919	53.4
52.13197495	52.1
47.16621915	47.2
39.5536348	39.6
49.63420123	49.6
48.21377514	48.2
55.14698968	55.1
52.92271807	52.9
45.3781753	45.4
54.98341706	55
49.79090717	49.8
58.69156338	58.7
57.20795015	57.2
50.39993893	50.4
51.79152835	51.8
52.589627	52.6
48.49483743	48.5
46.58529077	46.6
57.33346042	57.3
49.46405751	49.5
49.11819941	49.1
50.07784138	50.1
53.97312192	54
49.28750185	49.3
48.79447046	48.8
58.21444246	58.2
55.28004875	55.3
50.47365916	50.5
53.28591341	53.3
50.11227144	50.1
43.59337153	43.6
42.1073595	42.1
47.95733174	48
49.75032097	49.8
46.04991672	46
52.41448106	52.4
48.34000732	48.3
45.13277089	45.1
47.64038989	47.6
49.8146393	49.8
55.73095349	55.7
46.35313657	46.4
50.01740545	50
48.7001388	48.7
56.33001491	56.3
49.45367222	49.5
46.39195494	46.4
44.41845375	44.4
49.15276021	49.2
60.83240022	60.8
45.52341023	45.5
55.36974767	55.4
60.18916009	60.2
54.26418296	54.3
49.41094302	49.4
51.27060957	51.3
60.26351129	60.3
50.48902962	50.5
53.91308959	53.9
53.24520215	53.2
57.32561602	57.3
46.94880444	46.9
53.57488261	53.6
50.66075927	50.7
49.01115757	49
49.92980975	49.9
50.60485377	50.6
44.47516075	44.5
57.79059519	57.8
56.50254606	56.5
44.74791821	44.7
52.63390234	52.6
51.81397581	51.8
44.61662128	44.6
53.98520115	54
51.12613634	51.1
57.77260993	57.8
45.39516011	45.4
48.85030775	48.9
56.99812972	57
45.07222128	45.1
49.72312708	49.7
54.24550421	54.2
47.35422307	47.4
42.02109393	42
51.15793455	51.2
49.09371695	49.1
49.77750917	49.8
49.10538122	49.1
48.20928451	48.2
49.4371251	49.4
48.69301632	48.7
52.83648092	52.8
48.22192649	48.2
41.00709829	41
49.0983838	49.1
52.93497351	52.9
53.62692845	53.6
48.23332928	48.2
48.55915007	48.6
48.33879656	48.3
46.80609335	46.8
50.28721843	50.3
41.68967406	41.7
52.44202738	52.4
45.65492317	45.7
52.71598992	52.7
52.44245371	52.4
55.03014235	55
51.01069304	51
53.61301318	53.6
49.96882707	50	
50.04991421	50	Match
45.32869879	45.3	
52.38829898	52.4	
47.56400939	47.6	
47.36521659	47.4	
45.77420908	45.8	
60.20448508	60.2	
50.44830699	50.4	
52.09433324	52.1	
57.45676516	57.5	
50.81156486	50.8	
52.22914878	52.2	
55.08757694	55.1	
54.24934115	54.2	
43.65203394	43.7	
48.5938075	48.6
48.44272907	48.4
44.45326466	44.5
48.58783326	48.6
49.91795221	49.9
53.40987754	53.4
45.93014763	45.9
54.08158485	54.1
53.2122216	53.2
51.59224101	51.6
54.15784598	54.2
47.0972226	47.1
55.80459982	55.8
47.39549139	47.4
54.66302481	54.7
42.356652	42.4
54.91475021	54.9
54.17570618	54.2
47.46489721	47.5
48.610906	48.6
49.62844868	49.6
46.75007416	46.8
46.37257133	46.4
50.38880899	50.4
53.19390665	53.2
63.5089067	63.5
50.6885557	50.7
49.50712777	49.5
53.6608526	53.7
59.3772087	59.4
56.36512141	56.4
47.36302243	47.4
52.20762217	52.2
57.52611413	57.5
46.10662371	46.1
39.48132998	39.5
50.48211177	50.5
43.23842985	43.2
61.95694495	62
49.48213372	49.5
50.23321149	50.2
49.67407689	49.7
44.72462378	44.7
45.57513775	45.6
48.40010787	48.4
56.93050879	56.9
48.15780711	48.2
46.13555701	46.1
49.23722953	49.2
54.05176479	54.1
55.92098104	55.9
44.60156914	44.6
48.3286898	48.3
48.53640702	48.5
51.09477014	51.1
52.10770281	52.1
51.26231043	51.3
44.91434437	44.9
47.51522637	47.5
44.8204163	44.8
56.89668695	56.9
51.81765358	51.8
46.38549752	46.4
44.14937975	44.1
41.2025487	41.2	
47.92735821	47.9	
49.00023795	49	
47.28843818	47.3	
51.73860712	51.7	
47.14102614	47.1	
44.67025873	44.7	
45.40566478	45.4	
52.05639594	52.1	
52.07264179	52.1	Match
45.96732323	46	
53.57488261	53.6	
49.07543611	49.1	
45.76600658	45.8	
56.44594138	56.4	
47.48358164	47.5	
47.89062599	47.9
51.73088779	51.7
52.54511292	52.5
54.30892442	54.3
51.78459914	51.8
41.22937879	41.2
49.09099415	49.1
43.94264023	43.9
45.01533239	45
46.86776846	46.9
42.18873654	42.2
47.30570153	47.3
48.46559717	48.5
47.71069952	47.7
52.30885462	52.3
46.11852672	46.1
54.09119139	54.1
58.20559762	58.2
57.18209776	57.2
56.97477844	57
57.44980753	57.4
44.85690978	44.9
49.68174507	49.7
53.67135726	53.7
59.29630914	59.3
39.43540049	39.4
53.26600684	53.3
62.87735358	62.9
47.55237354	47.6
50.75232265	50.8
49.58240551	49.6
50.68778263	50.7
43.37154577	43.4
56.12807298	56.1
47.63268761	47.6
56.90758952	56.9
57.88866146	57.9
49.85367367	49.9
45.96997213	46
53.73577222	53.7
61.50756361	61.5
55.51218591	55.5
49.33499453	49.3
46.03578544	46
49.40015414	49.4
48.4984413	48.5
48.40936766	48.4
48.72464969	48.7
53.56895953	53.6	
50.337036	50.3	
52.53031658	52.5	
46.61806669	46.6	
51.30698368	51.3	
48.88131583	48.9	
42.92986104	42.9	
45.75887841	45.8	
53.90478476	53.9	
53.90011792	53.9	Match
47.08091423	47.1	
50.39840415	50.4	
47.95234089	48	
47.68092493	47.7	
47.947765	47.9	
48.02905677	48	
54.24550421	54.2
50.24469955	50.2
43.77346285	43.8
52.04100274	52
59.51622496	59.5
56.48831247	56.5
52.15923137	52.2
52.49776804	52.5
45.65045528	45.7
56.24568202	56.2
56.36771347	56.4
55.92098104	55.9
49.49636731	49.5
43.32428615	43.3
53.4651066	53.5
51.60230229	51.6
47.47315655	47.5
46.45715434	46.5
49.6637257	49.7
47.38541305	47.4
55.35683284	55.4
52.44934881	52.4
47.79659561	47.8
51.20238042	51.2
59.41972758	59.4
51.27258204	51.3
44.48922381	44.5
52.28250201	52.3
55.27404609	55.3
52.76934315	52.8
43.3880872	43.4
46.21855977	46.2
43.34474978	43.3
56.29015631	56.3
45.72590923	45.7
55.72063072	55.7
49.3685492	49.4
48.2272243	48.2
54.45606929	54.5
42.78663836	42.8
48.75900016	48.8
52.64225264	52.6
51.52558641	51.5
57.36838501	57.4
53.5168398	53.5
51.66322707	51.7
50.3757691	50.4
39.42830644	39.4
47.63654159	47.6
52.08056008	52.1
54.03267677	54
53.24756684	53.2
57.60785497	57.6
50.15703563	50.2
55.95738356	56
46.51005282	46.5
57.41861186	57.4
50.28568365	50.3
48.81886765	48.8
48.56273689	48.6
46.20582116	46.2
55.38337872	55.4
50.93740482	50.9
56.03511126	56
44.08748863	44.1
54.14165697	54.1
50.05794618	50.1
42.24526164	42.2
44.42914032	44.4
55.16130285	55.2
58.02986051	58
47.14327714	47.1
53.93077926	53.9
41.2840849	41.3
51.24731514	51.2
51.85898443	51.9
53.18265734	53.2
43.178767	43.2
52.46575382	52.5
55.1756615	55.2
46.14122999	46.1
53.75501941	53.8
58.31794296	58.3
56.4144615	56.4
43.80737563	43.8
47.70560635	47.7
52.28335466	52.3
51.01694013	51
51.21538051	51.2
37.6061338	37.6
59.57061275	59.6
47.08499558	47.1
55.26671329	55.3
54.34787353	54.3
56.92152753	56.9
45.51884002	45.5
50.90122967	50.9
48.79407824	48.8
53.06225729	53.1
48.38440203	48.4
54.32391971	54.3
46.72546664	46.7
51.80825737	51.8
54.91288574	54.9
40.93879524	40.9
42.7088993	42.7
51.30935973	51.3
59.49989953	59.5
54.48516175	54.5
49.3878248	49.4
50.07210019	50.1
50.68970962	50.7
59.17416401	59.2
58.95270205	59
41.67439455	41.7
53.49727429	53.5
52.27528858	52.3
49.54593477	49.5
57.23835001	57.2
45.87986963	45.9
49.08321797	49.1
56.87398369	56.9
49.89002504	49.9
51.61801381	51.6
45.40041244	45.4
50.01701892	50
50.42412012	50.4
44.39486373	44.4
52.20762217	52.2
47.53899829	47.5
48.09790552	48.1
51.56691158	51.6
47.21547965	47.2
48.47761956	48.5
53.50411256	53.5
48.83891633	48.8
48.50443828	48.5
48.25082568	48.3
45.50395842	45.5
50.10462031	50.1
49.26585588	49.3
51.58017883	51.6
50.42795705	50.4
52.92725417	52.9
41.4471573	41.4
40.06017788	40.1
58.15603016	58.2
58.41882866	58.4
59.57538759	59.6
45.51197334	45.5
44.43198249	44.4
55.58296733	55.6
48.96743361	49
50.23819098	50.2
48.79131565	48.8
48.15002525	48.2
52.12820623	52.1
54.06558911	54.1
44.12045781	44.1
56.15247018	56.2
45.16828666	45.2
50.1543583	50.2
51.67899543	51.7
47.03497906	47
49.10071438	49.1
57.18639512	57.2
49.20780738	49.2
54.72304009	54.7
51.07988853	51.1
56.03035915	56
52.23802203	52.2
50.15550654	50.2
43.56195985	43.6
48.85424131	48.9
51.38710448	51.4
43.36232577	43.4
49.5931546	49.6
44.89184574	44.9
47.45358537	47.5
53.91828507	53.9
48.24309498	48.2
51.82337772	51.8
42.8520765	42.9
49.72235969	49.7
43.40089971	43.4
49.91680397	49.9
57.52729648	57.5
41.80320174	41.8
54.37416929	54.4
49.21207063	49.2
51.93667802	51.9
53.96997848	54
47.97976216	48
48.86680371	48.9
51.41017154	51.4
49.46483058	49.5
43.7609914	43.8
49.98489102	50
43.55142108	43.6
43.03331606	43
57.54994289	57.5
39.73648871	39.7
45.44867251	45.4
56.28931502	56.3
47.3779552	47.4
50.23321149	50.2
55.13271061	55.1
50.87363787	50.9
53.97679969	54
58.71068551	58.7
50.6414723	50.6
45.75229594	45.8
46.50760856	46.5
56.39188329	56.4
54.55654572	54.6
43.57855813	43.6
50.11265229	50.1
57.05356342	57.1
43.0594754	43.1
58.32560545	58.3
44.60841309	44.6
43.65375061	43.7
48.51963253	48.5
47.33220193	47.3
38.82303771	38.8
54.46917738	54.5
43.97201691	44
57.98572728	58
46.34565029	46.3
51.50956794	51.5
49.3126039	49.3
47.57218916	47.6
46.64062216	46.6
50.63607786	50.6
51.31529987	51.3
46.25613327	46.3
51.12456746	51.1
50.87014769	50.9
51.88729814	51.9
45.95567033	46
42.9937303	43
49.40478119	49.4
56.40575308	56.4
54.29507736	54.3
41.16269009	41.2
57.19821855	57.2
52.66956022	52.7
58.41882866	58.4
46.65786277	46.7
47.23110022	47.2
51.72520345	51.7
58.57271516	58.6
46.11335397	46.1
48.16435547	48.2
55.32974127	55.3
42.10069745	42.1
50.26078624	50.3
57.73948159	57.7
53.29636691	53.3
45.32454922	45.3
53.37905703	53.4
52.71244858	52.7
49.50904908	49.5
54.61948275	54.6
56.06532922	56.1
52.19118874	52.2
51.46279149	51.5
53.07935011	53.1
50.51901452	50.5
43.12208274	43.1
52.42866918	52.4
46.22568794	46.2
58.72641976	58.7
41.86272817	41.9
48.03649189	48
55.59296041	55.6
45.95672762	46
51.19293304	51.2
48.12378633	48.1
48.96548388	49
49.25386192	49.3
49.94128643	49.9
44.9603307	45
51.49875632	51.5
51.71708621	51.7
52.31055992	52.3
56.12807298	56.1
55.36566631	55.4
53.27216299	53.3
48.81493409	48.8
56.14269311	56.1
46.45960997	46.5
51.7101911	51.7
43.29806997	43.3
48.86405249	48.9
42.34432835	42.3
53.03784304	53
59.73582246	59.7
52.22112249	52.2
47.21637778	47.2
53.59268597	53.6
49.93440269	49.9
57.2296416	57.2
61.03280738	61
50.82435463	50.8
51.02670583	51
52.19582148	52.2
47.50006623	47.5
46.53634859	46.5
52.46229774	52.5
52.28080808	52.3
40.24630597	40.2
52.98739451	53
54.93462267	54.9
62.83569873	62.8
44.69449676	44.7
38.42658897	38.4
49.35775463	49.4
51.05524123	51.1
51.90373726	51.9
43.24891178	43.2	
46.52272891	46.5	
52.86978548	52.9	
56.05098194	56.1	
56.07732318	56.1	Match
37.00295691	37	
54.95771246	55	
51.88812237	51.9	
45.58474428	45.6	
49.6154088	49.6	
38.51399141	38.5	
49.21903964	49.2	
56.2465233	56.2	
44.51023314	44.5	
51.35692062	51.4	
39.56041054	39.6	
50.90122967	50.9
46.96445911	47
49.05597861	49.1
52.64841447	52.6
52.11732072	52.1
56.30199111	56.3
55.32097602	55.3
49.57396426	49.6
47.16711727	47.2
40.2539912	40.3
47.04774041	47
48.7570277	48.8
2.31628418	2.3
58.68635652	58.7
47.66302494	47.7
50.38305643	50.4
49.92789981	49.9
55.98079168	56
45.2966391	45.3
50.27227998	50.3
50.61410219	50.6
51.15047669	51.2
50.95415089	51
47.9764425	48
46.05408902	46.1
50.82009137	50.8
51.9482286	51.9
48.36464326	48.4
51.29076625	51.3
46.64254346	46.6
46.66359827	46.7
36.41615093	36.4
45.4613827	45.5	
53.53842324	53.5	
58.35325409	58.4	
47.09858685	47.1	
39.79551492	39.8	
54.40171561	54.4	
48.25163854	48.3	
51.07988853	51.1	
54.8641482	54.9	
45.25540488	45.3	
56.8280201	56.8	
56.76825493	56.8	Match
47.20699293	47.2	
48.77555865	48.8	
53.57636054	53.6	
53.61450248	53.6	Match
49.12907924	49.1
45.20415486	45.2
61.54567144	61.5
45.87503225	45.9
52.40116833	52.4
56.29776196	56.3
53.03324441	53
42.76927838	42.8
47.16351908	47.2
42.91318318	42.9
48.6553803	48.7
57.79059519	57.8
51.10064775	51.1
61.28664735	61.3
52.14329248	52.1
53.84693521	53.8
44.42771923	44.4
43.3008894	43.3
48.37392011	48.4
57.55471774	57.6
56.33514219	56.3
57.46376827	57.5
58.03265721	58
48.55197075	48.6
51.47197738	51.5
54.12013037	54.1
51.20277264	51.2
55.24677262	55.2
51.15047669	51.2
55.97843837	56
55.31626938	55.3
53.66685526	53.7
56.39533937	56.4
47.98516228	48
52.28504859	52.3
51.96598648	52
48.64942879	48.6
55.71108103	55.7
52.42307578	52.4
57.06495484	57.1
48.84166755	48.8
46.3301434	46.3
54.56350335	54.6
51.9226718	51.9
51.03138973	51
48.76018251	48.8
57.49184892	57.5
47.94235919	47.9
52.47915182	52.5
52.7746978	52.8
51.09203029	51.1
45.93494522	45.9
56.66826736	56.7
52.16552962	52.2
51.72195769	51.7
40.30460458	40.3
48.77832124	48.8
54.62886192	54.6
54.07891321	54.1
42.1757535	42.2
52.00323029	52
48.85305897	48.9
54.69324277	54.7
43.93705821	43.9
49.15314675	49.2
42.26556611	42.3
50.32132448	50.3
46.46255446	46.5
54.32057732	54.3
48.50284098	48.5
44.15013008	44.2
44.14026206	44.1
44.24018142	44.2
51.98252792	52
47.23332849	47.2
52.09182645	52.1
48.05424977	48.1
49.42826889	49.4
48.99008571	49
54.92157142	54.9
51.9593756	52
49.71507805	49.7
47.04500624	47
47.4199909	47.4
52.63082711	52.6
47.78984829	47.8
53.24000666	53.2
54.59083367	54.6
50.04647518	50
51.09477014	51.1
53.53105634	53.5
39.73335096	39.7
46.79482698	46.8
56.21989784	56.2
45.41382749	45.4
50.337036	50.3
43.42367119	43.4
48.4724127	48.5
51.41455416	51.4
62.69636414	62.7
43.10132353	43.1
45.59152002	45.6
60.89729267	60.9
42.44166702	42.4
50.0705711	50.1
48.49283654	48.5
58.22478796	58.2
54.14327133	54.1
52.36516939	52.4
38.80903149	38.8
53.76974185	53.8
50.97753627	51
48.0620828	48.1
51.95896064	52
56.67757831	56.7
42.85951162	42.9
58.21444246	58.2
44.51652002	44.5
55.38543645	55.4
46.4753215	46.5
53.42969315	53.4
54.68137387	54.7
50.3934133	50.4
55.96049858	56
46.07338168	46.1
44.95396423	45
52.69385509	52.7
56.29438546	56.3
49.73538252	49.7
53.62394985	53.6
53.99992359	54
51.30659146	51.3
48.97915473	49
59.08703441	59.1
50.15818387	50.2
47.44007368	47.4
44.90471509	44.9
55.29879571	55.3
52.97779934	53
50.33971901	50.3
48.824768	48.8
55.18547267	55.2
57.22311597	57.2
40.06568032	40.1
51.80335746	51.8
56.52398739	56.5
53.02405283	53
41.42560227	41.4
48.26870862	48.3
46.03998049	46
55.45356897	55.5
56.78455763	56.8
50.27113174	50.3
52.39130031	52.4
57.11302164	57.1
49.39514623	49.4
48.24553925	48.2
57.22420737	57.2
49.64762765	49.6
46.80139808	46.8
52.81135613	52.8
43.27640126	43.3
52.50687435	52.5
48.83106057	48.8
40.99354682	41
47.23288511	47.2
46.10091663	46.1
50.53978511	50.5
45.86319746	45.9
57.14474027	57.1
47.64893346	47.6
60.9262146	60.9
48.4844294	48.5
51.88606464	51.9
43.09538907	43.1
54.11690735	54.1
57.00117653	57
47.47315655	47.5
53.50851792	53.5
48.37714313	48.4
52.40202098	52.4
51.19175638	51.2
56.58542376	56.6
51.53560791	51.5
52.72841589	52.7
52.8064278	52.8
50.38190819	50.4
45.51025667	45.5
50.92261985	50.9
54.85433702	54.9
54.79462869	54.8
54.57860097	54.6
49.42288014	49.4
51.64141056	51.6
53.21739435	53.2
48.81454187	48.8
45.59490789	45.6
51.89058369	51.9
56.32065849	56.3
51.83032967	51.8
47.67240979	47.7
54.97399242	55
46.17411959	46.2
58.69849828	58.7
49.88964419	49.9
61.51292963	61.5
53.21409743	53.2
52.16133458	52.2
43.80243025	43.8
47.95192593	48
54.40059011	54.4
56.1794708	56.2
52.34337563	52.3
46.03788297	46
49.08516202	49.1
47.4387606	47.4
53.24378107	53.2
55.62093874	55.6
53.11317194	53.1
45.74187086	45.7
53.38482096	53.4
49.00413741	49
48.92559117	48.9
57.24817255	57.2
56.15247018	56.2	
42.52106591	42.5	
44.38769009	44.4	
46.6855512	46.7	
45.13952389	45.1	
49.09605322	49.1	
51.6256763	51.6	
51.55004614	51.6	Match
52.63434004	52.6	
46.86730234	46.9	
52.651052	52.7	
56.1638957	56.2	
52.02480237	52	
48.33596576	48.3	
52.15755449	52.2	
50.91367269	50.9	
52.06389359	52.1
56.24318091	56.2
49.65644406	49.7
43.06648988	43.1
44.90406708	44.9
56.95458766	57
44.69449676	44.7
42.19908204	42.2
51.09830012	51.1
50.22249083	50.2
52.48390961	52.5
46.8037514	46.8
54.77830326	54.8
44.4134629	44.4
44.51722488	44.5
43.3008894	43.3
53.26364216	53.3
49.94472546	49.9
55.05814342	55.1
46.79295115	46.8
47.12164254	47.1
57.37745722	57.4
53.66185304	53.7
51.97632062	52
42.69446107	42.7
46.88171783	46.9
54.36967866	54.4
55.92021934	55.9
54.75901061	54.8
45.54620445	45.5
56.99099019	57
51.25126007	51.3
50.78599669	50.8
46.76847438	46.8
43.99647095	44
43.13388344	43.1
57.73063675	57.7
49.4448217	49.4
42.0550863	42.1
44.55890247	44.6
53.16020987	53.2
49.08166046	49.1
47.96980319	48
54.29839702	54.3
53.82793246	53.8
47.64252721	47.6
45.61460982	45.6
60.03259058	60
46.81593863	46.8
48.85777129	48.9
51.80417601	51.8
48.65656832	48.7
56.10302777	56.1
48.15084379	48.2
58.6691216	58.7
42.58484422	42.6
52.52640575	52.5
47.60269702	47.6
48.39487828	48.4
52.43728664	52.4
61.52930054	61.5
53.29494014	53.3
54.79160462	54.8
61.72938937	61.7
47.8205949	47.8
44.49272536	44.5
56.11108817	56.1
52.52293262	52.5
56.39274731	56.4
49.80392431	49.8
49.2847961	49.3
58.19093202	58.2
46.04730192	46
53.75654281	53.8
48.87935473	48.9
56.77878234	56.8
51.15243779	51.2
46.45567641	46.5
41.88137281	41.9
48.87778586	48.9
46.31460241	46.3	
52.79837309	52.8	
42.36279109	42.4	
47.04728566	47	
48.27276724	48.3	
54.48802666	54.5	
44.1273245	44.1	
48.13281306	48.1	
48.14142484	48.1	Match
47.27291424	47.3	
38.39293767	38.4	
52.90232265	52.9	
44.82238309	44.8	
46.72498916	46.7	
39.69842636	39.7	
44.77969368	44.8	
39.17555786	39.2
51.64302492	51.6
53.03738261	53
48.19255549	48.2
57.4301397	57.4
50.83521741	50.8
55.56872237	55.6
42.10604074	42.1
50.97987254	51
44.59471383	44.6
48.73808179	48.7
47.71749799	47.7
47.35158553	47.4
42.1377821	42.1
49.74265847	49.7
48.33798938	48.3
58.8703473	58.9
52.79524102	52.8
49.18184699	49.2
45.61235882	45.6
44.17282197	44.2
47.7230118	47.7
49.43673856	49.4
44.87311015	44.9
48.45597358	48.5
49.78210212	49.8
43.88810465	43.9
41.62348558	41.6
48.15371439	48.2
54.92404979	54.9
48.50683707	48.5
51.64504286	51.6
45.66606448	45.7
46.64637471	46.6
48.02161028	48
45.60898232	45.6
58.85193003	58.9
45.2421831	45.2
45.26080501	45.3
45.47810603	45.5
56.78742254	56.8
50.17464572	50.2
51.18820935	51.2
49.20199798	49.2
58.69849828	58.7
55.08437097	55.1
50.12910277	50.1
61.3461283	61.3
47.39768555	47.4
44.22529982	44.2
55.41490408	55.4
42.54555405	42.5
51.3002591	51.3
54.30338218	54.3
49.33730805	49.3
46.82389671	46.8
51.48995696	51.5
50.97246584	51
55.20647063	55.2
48.66964799	48.7
52.36859705	52.4
50.16124773	50.2
43.55582077	43.6
44.72395302	44.7
59.85037332	59.9	
57.05563252	57.1	
46.44238642	46.4	
58.23069968	58.2	
58.15891781	58.2	Match
52.23590746	52.2	
49.75338483	49.8	
45.85672867	45.9	
54.93213292	54.9	
47.2444698	47.2	
42.12459443	42.1	
47.42217369	47.4	
52.12694431	52.1	
50.98884243	51	
49.55169301	49.6	
50.73143838	50.7	
51.59304818	51.6
42.61685844	42.6
46.24092197	46.2
50.03882406	50
47.09632448	47.1
43.17781203	43.2
55.43419674	55.4
51.79152835	51.8
49.42672844	49.4
52.25663825	52.3
45.56323473	45.6
44.7038873	44.7
46.39443331	46.4
46.00059937	46
51.6365675	51.6
50.8550046	50.9
36.99167918	37
58.89069725	58.9
52.35918378	52.4
42.21199687	42.2
55.9186732	55.9
48.12337705	48.1
45.77256631	45.8
44.87828291	44.9
50.04264962	50
46.95801307	47
51.77155925	51.8
51.69559939	51.7
50.471357	50.5
44.59745368	44.6
57.87010777	57.9
50.33473952	50.3
54.9783921	55
42.87326773	42.9
45.76873506	45.8
53.27358407	53.3
52.08264623	52.1
56.46177796	56.5
53.27453336	53.3
48.68113605	48.7
54.30948148	54.3
47.05274831	47.1
55.34191713	55.3
47.84538431	47.8
44.89699576	44.9
53.70903308	53.7
52.8064278	52.8
57.06495484	57.1
49.41402393	49.4
43.76182132	43.8
53.11409849	53.1
51.20159029	51.2
53.89078991	53.9
48.75426511	48.8
39.04440872	39
46.14226454	46.1
51.1335942	51.1
52.10644657	52.1
59.02978172	59
54.05070182	54.1
53.08119752	53.1
47.65406073	47.7
54.69799488	54.7
49.97112354	50
48.55117494	48.6
42.95057478	43
46.25613327	46.3
52.54075871	52.5
47.10446446	47.1
56.21574827	56.2
49.00999228	49
54.18384616	54.2
44.06046527	44.1
47.35642859	47.4
48.46559717	48.5
51.98459702	52
51.34818947	51.3
57.46492788	57.5
48.4025294	48.4
48.56951263	48.6
40.28700586	40.3
49.86591774	49.9
46.35413133	46.4
47.21325139	47.2
52.63214588	52.6
56.71792577	56.7
56.24735321	56.2
53.3987817	53.4
47.50656343	47.5
42.96089754	43
49.31221737	49.3
54.20342303	54.2
49.12131443	49.1
54.43449153	54.4
47.08136897	47.1
46.32563004	46.3
46.33964762	46.3	Match
48.94906182	48.9	
50.51055622	50.5	
56.88680757	56.9	
52.73284968	52.7	
51.35771643	51.4	
50.04417871	50	
46.96537998	47	
48.30966431	48.3	
41.91406914	41.9	
41.96456884	42	
49.46752496	49.5	
54.09279437	54.1	
48.00173782	48	
56.96567213	57	
47.44617298	47.4	
58.65711627	58.7
51.99618739	52
54.22360245	54.2
50.37231871	50.4
52.94088522	52.9
55.88336206	55.9
43.24033979	43.2
46.61854417	46.6
48.79604502	48.8
50.5067136	50.5
46.95801307	47
47.89271214	47.9
55.20318508	55.2
46.14947228	46.1
53.32732952	53.3
51.83932798	51.8
55.86886699	55.9
54.88691967	54.9
44.83152351	44.8
51.59545834	51.6
50.49672053	50.5
49.96232418	50
55.86505848	55.9
48.68509803	48.7
42.44048468	42.4
46.84446266	46.8
58.88885552	58.9
53.3627316	53.4
58.08452114	58.1
50.79529059	50.8
57.32225089	57.3
45.18169034	45.2
39.39588295	39.4
50.66655161	50.7
54.94272854	54.9
48.25001282	48.3
58.72641976	58.7
46.10195687	46.1
44.28819137	44.3
48.36625761	48.4
44.85626176	44.9
49.64263679	49.6
48.92519895	48.9
53.16020987	53.2
46.47776576	46.5
41.87707544	41.9
58.44261194	58.4
54.33616378	54.3
48.2272243	48.2
49.86171133	49.9
55.16652108	55.2
52.56036401	52.6
48.824768	48.8
57.11722805	57.1
52.92725417	52.9
56.64783784	56.6
46.63679091	46.6
42.26051841	42.3
59.17211764	59.2
45.64543032	45.6
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 07:15 AM
Response to Reply #105
107. OK, you have just confirmed my simulation - twice.
Edited on Thu Apr-07-05 07:16 AM by TruthIsAll
Only 1 exceeded 14.

It is still very unlikely (1 out of 10).
Even after you lowered the std. deviation.

That is the bottom line.


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eomer Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 09:19 AM
Response to Reply #107
111. Agreed
I agree, this one does look anomolous. I had to decrease the standard deviation down below that of the actual data and even then we get only 1 out of 10.
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Thu Apr-07-05 08:16 AM
Response to Reply #105
108. eomer - it's because if you look at the original poster,
the matches were EITHER in R column or in D column. So if you get 7 matches with 1900 precincts, that translates to 14 matches in the original poster's situation. (shhh, don't tell TIA, he still does not grasp that concept)
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 09:20 AM
Response to Reply #108
112. Still trying? Read Post #110.. Prob = 1.31% ...
Edited on Thu Apr-07-05 09:25 AM by TruthIsAll
qwghlmian, it's time to close the book.

If you won't admit defeat, then just leave quietly.
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eomer Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 09:58 AM
Response to Reply #108
113. Oops, maybe I had my visor on too tight...
Let me look back at the original premise.

Looks like for Dem there are 6 matches out of 1900 and for Rep there are 8 matches out of 1900. This is plausible if the data follows a normal distribution with a standard deviation of 10. (See post #105, first set of 10 runs).

Another factor that we need to consider - how were the 9 counties that we are looking at chosen out of the 67 counties in Florida? If they were chosen because they exhibited this phenomenon while the other 58 counties didn't then that makes the results we are seeing more understandable and less anomalous.

Sorry to wobble back and forth on this issue but at this point I'm leaning toward no anomaly.

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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 10:20 AM
Response to Reply #113
117. Not quite.Take a look at post 116: Probability Sensitivity Analysis
Edited on Thu Apr-07-05 10:24 AM by TruthIsAll
.
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eomer Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 10:56 AM
Response to Reply #117
120. OK, I looked and I'm confused about what you are saying.
Why are you using 1900 as the sample size? The way I understand the data is that there were 6 matches out of 1900 data points for Dem's and 8 matches out of a different set of 1900 data points for Reps. Am I missing something? I don't see 14 matches out of 1900, I see 6 matches out of one set of 1900 and 8 matches out of a different set of 1900.

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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 11:41 AM
Response to Reply #120
126. I am using the average match returned from the simulation..
Edited on Thu Apr-07-05 11:42 AM by TruthIsAll
and dividing it by 1900 to produce a sensitivity table of
probabilities that the number of matches would be greater than
N.
We are interested in the probability of getting at least N=14
matches, given the probability returned from the simulation.

For example:
If the average simulation match is 6 (prob =6/1900),
then the prob of getting 14 or more matches is:
0.36%	= 1-BINOMDIST(13,1900,6/1900,TRUE)

If the average simulation match is 8 (prob =8/1900),
then the prob of getting 14 or more matches is:
3.39%	= 1-BINOMDIST(13,1900,8/1900,TRUE)

					
match	Assume  average simulation matched pairs of 1900 
Prob
>=N	5	6	7	8	10	12	14	16

1	99.33%	99.75%	99.91%	99.97%	100.00%	100.00%	100.00%	100.00%
2	95.97%	98.28%	99.28%	99.70%	99.95%	99.99%	100.00%	100.00%
3	87.57%	93.83%	97.06%	98.64%	99.73%	99.95%	99.99%	100.00%
4	73.53%	84.92%	91.86%	95.79%	98.98%	99.78%	99.95%	99.99%
5	55.97%	71.54%	82.75%	90.09%	97.10%	99.25%	99.82%	99.96%
6	38.40%	55.46%	69.98%	80.93%	93.34%	97.99%	99.46%	99.87%
7	23.76%	39.37%	55.06%	68.71%	87.05%	95.47%	98.60%	99.61%
8	13.31%	25.58%	40.13%	54.73%	78.05%	91.12%	96.88%	99.02%
9	6.78%	15.24%	27.07%	40.75%	66.78%	84.58%	93.86%	97.84%
10	3.16%	8.36%	16.91%	28.31%	54.24%	75.84%	89.15%	95.73%
11	1.36%	4.24%	9.81%	18.37%	41.70%	65.34%	82.53%	92.35%
12	0.54%	1.99%	5.30%	11.15%	30.29%	53.88%	74.09%	87.41%
13	0.20%	0.87%	2.68%	6.34%	20.79%	42.40%	64.23%	80.80%

14	0.07%	0.36%	1.27%	3.39%	13.50%	31.81%	53.59%	72.65%

15	0.02%	0.14%	0.56%	1.70%	8.29%	22.74%	42.96%	63.33%
16	0.01%	0.05%	0.24%	0.81%	4.83%	15.49%	33.03%	53.37%
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eomer Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 11:51 AM
Response to Reply #126
128. But we are not getting 14 matches in a sample of 1900
We are getting 6 matches in one sample of 1900 and 8 matches in a different sample of 1900.

Or, if you prefer, we are getting 14 matches out of a combined sample of 3800. The probability of that is:
31.8 % = 1-BINOMDIST(13,3800,6/1900,TRUE)

or maybe:
53.6 % = 1-BINOMDIST(13,3800,7/1900,TRUE)

or maybe:
72.6 % = 1-BINOMDIST(13,3800,8/1900,TRUE)

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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 12:18 PM
Response to Reply #128
132. There are 1900 matched pairs.
Assume pct1 matches pct2 and pct4 matches pct5.
That is TWO matches out of 1900 sequential pairs, not 3800:

1-2 < match
2-3
3-4
4-5 < match
.
.
.
1899-1900

So....
If the average number of simulation matches is 6 (prob =6/1900),
then the prob of getting 14 OR MORE matches is:
0.36% = 1-BINOMDIST(13,1900,6/1900,TRUE)

If the average simulation match is 8 (prob =8/1900),
then the prob of getting 14 OR MORE matches is:
3.39% = 1-BINOMDIST(13,1900,8/1900,TRUE)



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eomer Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 12:52 PM
Response to Reply #132
137. I agree that that is two matches out of 1900
And if you express the data from the OP that same way you will get 6 matches out of 1900 pairs for the Democratic turnout:
1-2 < match
2-3 < match
3-4 < match
4-5 < match
5-6 < match
6-7 < match
7-8
.
.
1899-1900
(Assume that we sorted on the match column so they are all clumped at the top of the column).

To get the other 8 matches you have to bring in an additional (different) set of 1900 pairs. These are the Republican turnout data:
1-2 < match
2-3 < match
3-4 < match
4-5 < match
5-6 < match
6-7 < match
7-8 < match
8-9 < match
9-10
.
.
.
1899-1900

So that is 14 matches out of 3800 pairs. 6 out of the first 1900 pairs and 8 out of the second 1900 pairs.

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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 02:07 PM
Response to Reply #137
141. Ok, lets recalc for 3800; For 6 sim. avg matches, the prob>=14 =0.36%
Edited on Thu Apr-07-05 02:57 PM by TruthIsAll
Assume the simulation gives an average of 6 matched pairs:
The probability of AT LEAST 14 matches in 3800 pairs = 0.36% 
or 1 out of 278
Prob =1-BINOMDIST(13,3800,6/3800,TRUE)			

Assume the simulation gives an average of 8 matched pairs: 
The probability of AT LEAST 14 matches in 3800 pairs = 3.40%
or 1 out of 29
Prob =1-BINOMDIST(13,3800,8/3800,TRUE)


BUT THERE MAY BE MORE THAN 14 MATCHED PAIRS.
IF SO, THAT WILL JUST MAKE THE PROBABILITIES EVEN LOWER.

FOR EXAMPLE, IF THERE ARE 20 MATCHED PAIRS, 
THE PROBABILITY BECOMES 0.02%, OR 1 IN 5000.

I GUESS WE WILL JUST HAVE TO WAIT TO FIND OUT.


.............PROBABILITY MATRIX................
match	Simulation Results for 3800 matched adjacent pairs 
>=n	5	6	7	8	10	12	14	16
1	99.33%	99.75%	99.91%	99.97%	100.00%	100.00%	100.00%	100.00%
2	95.97%	98.27%	99.27%	99.70%	99.95%	99.99%	100.00%	100.00%
3	87.55%	93.82%	97.05%	98.63%	99.73%	99.95%	99.99%	100.00%
4	73.52%	84.90%	91.84%	95.78%	98.97%	99.77%	99.95%	99.99%
5	55.96%	71.52%	82.73%	90.06%	97.09%	99.25%	99.82%	99.96%
6	38.40%	55.44%	69.95%	80.91%	93.32%	97.98%	99.45%	99.86%
7	23.77%	39.37%	55.04%	68.69%	87.02%	95.44%	98.59%	99.60%
8	13.32%	25.59%	40.13%	54.72%	78.01%	91.08%	96.86%	99.01%
9	6.80%	15.26%	27.08%	40.75%	66.75%	84.54%	93.83%	97.82%
10	3.17%	8.38%	16.93%	28.32%	54.22%	75.80%	89.10%	95.70%
11	1.36%	4.25%	9.83%	18.39%	41.70%	65.31%	82.48%	92.30%
12	0.54%	2.00%	5.32%	11.17%	30.31%	53.86%	74.04%	87.35%
13	0.20%	0.88%	2.69%	6.36%	20.82%	42.40%	64.19%	80.74%

14	0.07%	0.36%	1.27%	3.40%	13.52%	31.83%	53.57%	72.60%

15	0.02%	0.14%	0.57%	1.72%	8.32%	22.77%	42.96%	63.29%
16	0.01%	0.05%	0.24%	0.82%	4.85%	15.52%	33.05%	53.35%
17	0.00%	0.02%	0.09%	0.37%	2.69%	10.09%	24.38%	43.40%
18	0.00%	0.01%	0.04%	0.16%	1.42%	6.27%	17.24%	34.05%
19	0.00%	0.00%	0.01%	0.06%	0.71%	3.72%	11.69%	25.73%

20	0.00%	0.00%	0.00%	0.02%	0.34%	2.11%	7.61%	18.73%

21	0.00%	0.00%	0.00%	0.01%	0.16%	1.15%	4.76%	13.14%
22	0.00%	0.00%	0.00%	0.00%	0.07%	0.60%	2.86%	8.88%
23	0.00%	0.00%	0.00%	0.00%	0.03%	0.30%	1.65%	5.78%
24	0.00%	0.00%	0.00%	0.00%	0.01%	0.14%	0.92%	3.64%
25	0.00%	0.00%	0.00%	0.00%	0.00%	0.07%	0.49%	2.21%
26	0.00%	0.00%	0.00%	0.00%	0.00%	0.03%	0.26%	1.29%
27	0.00%	0.00%	0.00%	0.00%	0.00%	0.01%	0.13%	0.73%
28	0.00%	0.00%	0.00%	0.00%	0.00%	0.01%	0.06%	0.40%

If they come up with 28 actual matches, the probabilities are
as follows, if N= number of simulation matches:

N   1 in
5 1,361,838,411,663	
6 16,976,521,869
7 585,261,056	
8  35,973,501	
10 462,576	
12 18,511 
14  1,615
16 248
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eomer Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 02:41 PM
Response to Reply #141
144. But you're using a rate of 6/3800. That should be 6/1900.
We had 6 matches in a sample of 1900. If you want to use that rate to determine the probability of 14 matches in a sample of 3800 it would be:

31.8 % = 1-BINOMDIST(13,3800,6/1900,TRUE)


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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 03:10 PM
Response to Reply #144
145. Yes, but I'm not convinced that is how you should look at it.
Edited on Thu Apr-07-05 03:14 PM by TruthIsAll
Is it not true that only ONE of the the vote/registration rates needed to be held constant to achieve the desired result?


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eomer Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 03:29 PM
Response to Reply #145
146. I'm thinking that the Democratic turnout and the Republican turnout
are two independent sets of data. Getting a match in two adjacent precincts in the Democratic turnout should have no influence on whether you get an adjacent match on those same two precincts in the Republican turnout. That seems to be borne out in the results since the matches in the Democratic data are in different precincts than the matches in the Republican data.

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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 09:09 PM
Response to Reply #146
148. eomer, check this...
I ran the simulation again - assuming 1900 precincts for both
Dem and Repub vote/registration ratios (or 3800 combinations).

I used reasonable ranges for the vote and registration totals
to come up with the ratios.

The average match from the simulation was 2.64, which I
rounded up to 3. That may seem low, but read on.

The range of possibilities or buckets to be matched is the
41.01 difference between the Maximum and Minimum percentages:

74.63 - 33.62 = 41.01. Multiply by 100 to get 4101 possible
"buckets". Assuming all are equally likely, it is
unlikely that more than 6 or 7 adjacent pairs of the 3800
combinations would match.

Run the numbers yourself to check this out.

Note the following data tables:
1) The first 200 of the 3800 Dem/Repub ratio combinations.

2) The results of 100 trial runs. The average number of
matches for  the trials was 2.64, ranging from 0 to 7.

3) The probability table shows that the chances are 1 in
300,000 for 14 matches out of 3800 to occur, based on the
simulations.

Tell me what you think.



Range	Vote	Register						
High	300	600						
Low	200	400						
			pct	Diff				
AVG	250	501	50.50	9.67				
MAX	300	600	74.63	38.86				
MIN	200	400	33.62	0.00				
Diff	100	200	41.01	38.86				

RandBetween(High,Low)								
Increment	3800							
/Diff	4101							
=Exp	0.92

							
Sim. average match = 2.64
1.19%	=1-BINOMDIST(2,3800,8/3800,TRUE)				
match	Match	3800	

Assume  average simulation matched pairs of 3800 				
Prob>=n	1	2	3	4	5	6	
1	63.22%	86.47%	95.03%	98.17%	99.33%	99.75%	
2	26.42%	59.41%	80.10%	90.85%	95.97%	98.27%	
3	8.03%	32.33%	57.69%	76.21%	87.55%	93.82%	
4	1.90%	14.28%	35.28%	56.66%	73.52%	84.90%	
5	0.37%	5.26%	18.47%	37.12%	55.96%	71.52%	
6	0.06%	1.65%	8.38%	21.48%	38.40%	55.44%	
7	0.01%	0.45%	3.34%	11.06%	23.77%	39.37%	
8	0.00%	0.11%	1.19%	5.10%	13.32%	25.59%	
9	0.00%	0.02%	0.38%	2.13%	6.80%	15.26%	
10	0.00%	0.00%	0.11%	0.81%	3.17%	8.38%	
11	0.00%	0.00%	0.03%	0.28%	1.36%	4.25%	
12	0.00%	0.00%	0.01%	0.09%	0.54%	2.00%	
13	0.00%	0.00%	0.00%	0.03%	0.20%	0.88%	
							


14	0.0000%	0.0000%	0.00034%	0.0075%	0.069%	0.359%

1 in	223,564,726,222	34,729,290	298,340	13,263	1,447	278



           			             2			
Precinct	Vote	Reg	Pct	Diff	MATCH <	Average of 100 trials	
1-3800					0.01		2.64	
1	300	475	63.2					
2	269	543	49.5	13.6	0		3	
3	219	593	36.9	12.6	0		1	
4	214	556	38.5	1.6	0		3	
5	292	429	68.1	29.6	0		2	
6	210	456	46.1	22.0	0		5	
7	203	486	41.8	4.3	0		1	
8	226	443	51.0	9.2	0		2	
9	218	467	46.7	4.3	0		5	
10	219	505	43.4	3.3	0		4	
11	253	553	45.8	2.4	0		0	
12	223	511	43.6	2.1	0		0	
13	207	440	47.0	3.4	0		2	
14	261	434	60.1	13.1	0		4	
15	230	454	50.7	9.5	0		3	
16	249	592	42.1	8.6	0		1	
17	233	459	50.8	8.7	0		3	
18	238	527	45.2	5.6	0		1	
19	292	482	60.6	15.4	0		4	
20	241	405	59.5	1.1	0		2	
21	248	554	44.8	14.7	0		2	
22	233	450	51.8	7.0	0		3	
23	260	456	57.0	5.2	0		3	
24	238	590	40.3	16.7	0		1	
25	280	454	61.7	21.3	0		4	
26	204	499	40.9	20.8	0		1	
27	242	475	50.9	10.1	0		5	
28	241	573	42.1	8.9	0		1	
29	239	492	48.6	6.5	0		1	
30	269	458	58.7	10.2	0		6	
31	210	562	37.4	21.4	0		3	
32	273	440	62.0	24.7	0		1	
33	235	540	43.5	18.5	0		2	
34	290	430	67.4	23.9	0		6
35	220	575	38.3	29.2	0		2
36	297	407	73.0	34.7	0		2
37	212	427	49.6	23.3	0		5
38	283	409	69.2	19.5	0		2
39	297	524	56.7	12.5	0		3
40	222	476	46.6	10.0	0		1
41	264	584	45.2	1.4	0		1
42	202	453	44.6	0.6	0		4
43	298	518	57.5	12.9	0		1
44	268	556	48.2	9.3	0		2
45	291	482	60.4	12.2	0		4
46	270	436	61.9	1.6	0		1
47	253	437	57.9	4.0	0		7
48	204	407	50.1	7.8	0		2
49	229	462	49.6	0.6	0		2
50	235	555	42.3	7.2	0		0
51	250	415	60.2	17.9	0		4
52	247	529	46.7	13.5	0		5
53	274	407	67.3	20.6	0		3
54	244	501	48.7	18.6	0		1
55	256	582	44.0	4.7	0		4
56	282	494	57.1	13.1	0		4
57	261	400	65.3	8.2	0		2
58	262	571	45.9	19.4	0		1
59	269	422	63.7	17.9	0		1
60	207	583	35.5	28.2	0		1
61	274	467	58.7	23.2	0		2
62	203	572	35.5	23.2	0		3
63	299	549	54.5	19.0	0		0
64	223	486	45.9	8.6	0		3
65	261	589	44.3	1.6	0		3
66	247	480	51.5	7.1	0		5
67	221	511	43.2	8.2	0		3
68	235	504	46.6	3.4	0		2
69	212	520	40.8	5.9	0		4
70	257	440	58.4	17.6	0		5
71	250	492	50.8	7.6	0		2
72	229	523	43.8	7.0	0		5
73	209	599	34.9	8.9	0		4
74	223	481	46.4	11.5	0		4
75	291	489	59.5	13.1	0		4
76	243	401	60.6	1.1	0		5
77	217	522	41.6	19.0	0		2
78	242	551	43.9	2.3	0		2
79	285	580	49.1	5.2	0		4
80	215	512	42.0	7.1	0		3
81	239	450	53.1	11.1	0		2
82	209	419	49.9	3.2	0		3
83	277	468	59.2	9.3	0		3
84	270	599	45.1	14.1	0		4
85	276	581	47.5	2.4	0		2
86	242	475	50.9	3.4	0		2
87	257	409	62.8	11.9	0		4
88	283	556	50.9	11.9	0		2
89	227	571	39.8	11.1	0		2
90	292	524	55.7	16.0	0		5
91	226	560	40.4	15.4	0		4
92	210	562	37.4	3.0	0		1
93	250	551	45.4	8.0	0		0
94	289	472	61.2	15.9	0		0
95	294	498	59.0	2.2	0		3
96	255	454	56.2	2.9	0		2
97	204	533	38.3	17.9	0		3
98	256	502	51.0	12.7	0		0
99	201	459	43.8	7.2	0		5
100	277	431	64.3	20.5	0		1
101	236	493	47.9	16.4	0		1
102	202	458	44.1	3.8	0		
103	252	497	50.7	6.6	0		
104	285	570	50.0	0.7	0		
105	244	476	51.3	1.3	0		
106	266	502	53.0	1.7	0		
107	268	589	45.5	7.5	0		
108	262	580	45.2	0.3	0		
109	299	553	54.1	8.9	0		
110	211	553	38.2	15.9	0		
111	285	430	66.3	28.1	0		
112	221	599	36.9	29.4	0		
113	291	489	59.5	22.6	0		
114	243	424	57.3	2.2	0	
115	229	456	50.2	7.1	0	
116	238	546	43.6	6.6	0	
117	251	512	49.0	5.4	0	
118	225	552	40.8	8.3	0	
119	291	436	66.7	26.0	0	
120	262	531	49.3	17.4	0	
121	239	571	41.9	7.5	0	
122	223	458	48.7	6.8	0	
123	258	514	50.2	1.5	0	
124	200	470	42.6	7.6	0	
125	219	563	38.9	3.7	0	
126	230	512	44.9	6.0	0	
127	279	504	55.4	10.4	0	
128	294	595	49.4	5.9	0	
129	266	546	48.7	0.7	0	
130	273	543	50.3	1.6	0	
131	241	544	44.3	6.0	0	
132	208	438	47.5	3.2	0	
133	210	594	35.4	12.1	0	
134	257	448	57.4	22.0	0	
135	294	597	49.2	8.1	0	
136	219	521	42.0	7.2	0	
137	292	563	51.9	9.8	0	
138	288	501	57.5	5.6	0	
139	235	495	47.5	10.0	0	
140	233	402	58.0	10.5	0	
141	255	443	57.6	0.4	0	
142	206	422	48.8	8.7	0	
143	211	496	42.5	6.3	0	
144	271	419	64.7	22.1	0	
145	250	481	52.0	12.7	0	
146	293	453	64.7	12.7	0	
147	292	443	65.9	1.2	0	
148	259	426	60.8	5.1	0	
149	209	500	41.8	19.0	0	
150	284	594	47.8	6.0	0	
151	278	516	53.9	6.1	0	
152	269	403	66.7	12.9	0	
153	209	431	48.5	18.3	0	
154	240	476	50.4	1.9	0	
155	276	557	49.6	0.9	0	
156	228	469	48.6	0.9	0	
157	297	411	72.3	23.6	0	
158	298	497	60.0	12.3	0	
159	201	531	37.9	22.1	0	
160	298	472	63.1	25.3	0	
161	296	598	49.5	13.6	0	
162	230	597	38.5	11.0	0	
163	300	402	74.6	36.1	0	
164	256	454	56.4	18.2	0	
165	273	503	54.3	2.1	0	
166	289	466	62.0	7.7	0	
167	276	581	47.5	14.5	0	
168	274	509	53.8	6.3	0	
169	288	452	63.7	9.9	0	
170	209	423	49.4	14.3	0	
171	241	544	44.3	5.1	0	
172	246	446	55.2	10.9	0	
173	266	453	58.7	3.6	0	
174	299	427	70.0	11.3	0	
175	221	528	41.9	28.2	0	
176	243	557	43.6	1.8	0	
177	300	561	53.5	9.8	0	
178	246	444	55.4	1.9	0	
179	295	527	56.0	0.6	0	
180	277	503	55.1	0.9	0	
181	255	423	60.3	5.2	0	
182	285	524	54.4	5.9	0	
183	232	474	48.9	5.4	0	
184	248	523	47.4	1.5	0	
185	222	570	38.9	8.5	0	
186	234	567	41.3	2.3	0	
187	273	446	61.2	19.9	0	
188	241	534	45.1	16.1	0	
189	222	449	49.4	4.3	0	
190	223	539	41.4	8.1	0	
191	244	568	43.0	1.6	0	
192	239	452	52.9	9.9	0	
193	289	474	61.0	8.1	0	
194	234	467	50.1	10.9	0	
195	292	470	62.1	12.0	0	
196	255	565	45.1	17.0	0	
197	210	539	39.0	6.2	0	
198	278	515	54.0	15.0	0	
199	207	557	37.2	16.8	0	
200	256	531	48.2	11.0	0	
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Thu Apr-07-05 10:02 PM
Response to Reply #148
150. Yet again, you fail simple math.
it is not 4101 "buckets". It is 410 "buckets" - because the matches are done with one digit after decimal point. So the formula becomes:

=(1-BINOMDIST(13,3800,1/410,TRUE))*100

That is, 3800 trials, each one has the probability of 1 in 410 to match. That is 8%.

But - and here is the clincher - you assume that the distribution of percentages would be even through the range of 41%. That is a very flawed assumption. Most numbers - in real life - would be bunched up in the middle of the range. Look up "normal curve". This would seriously lower the number of "buckets" in the calculation - I would estimate by a factor of 1.4 or so. Thus, the formula becomes:

=(1-BINOMDIST(13,3800,1/(410/1.4),TRUE))*100

Which is 42% probability.

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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Fri Apr-08-05 07:01 AM
Response to Reply #150
158. No, the numbers are 4101 and .01
Edited on Fri Apr-08-05 07:12 AM by TruthIsAll
1)4101 is the number of integers, assuming the range given.
You can argue about the size of the range if you wish, but my numbers were based on reasonable precinct vote and registration ranges.

We are calculating the percentage of votes/registrations, not the difference between votes or the difference between registrations.


2) Here are two examples of why .01 is the correct number to compare to the difference between two adjacent precincts:


476 225 460 48.9 2.9 0
477 218 555 39.3 9.6 0
478 233 498 46.8 7.5 0
479 225 481 46.8 0.0 1 Match deviation <.01 ok

Changing the difference test to .1 produced this invalid match:
1573 214 598 35.8 29.7 0
1574 208 582 35.7 0.0 1 Match deviation <.1 ng

Here are more from the same run:

3618 255 484 52.7 6.6 0
3619 295 559 52.8 0.1 1 Match deviation <.1 ng
3620 220 537 41.0 11.8 0
3621 250 501 49.9 8.9 0
3622 211 407 51.8 1.9 0
3623 252 487 51.7 0.1 1 Match deviation <.1 ng

3079 286 542 52.8 11.6 0
3080 290 563 51.5 1.3 0
3081 296 574 51.6 0.1 1 Match <.1 ng
3082 259 506 51.2 0.4 0
3083 220 409 53.8 2.6 0












Correction: Only the heading was wrong.
Prob>=8 match, given that the avg. Sim. match =3:
Prob =1.19% =1-BINOMDIST(7,3800,3/3800,TRUE)

Sim. average match
match Match 3800 Assume average simulation matched pairs of 3800
Prob>=n 1 2 3 4 5 6
1 63.22% 86.47% 95.03% 98.17% 99.33% 99.75%
2 26.42% 59.41% 80.10% 90.85% 95.97% 98.27%
3 8.03% 32.33% 57.69% 76.21% 87.55% 93.82%
4 1.90% 14.28% 35.28% 56.66% 73.52% 84.90%
5 0.37% 5.26% 18.47% 37.12% 55.96% 71.52%
6 0.06% 1.65% 8.38% 21.48% 38.40% 55.44%
7 0.01% 0.45% 3.34% 11.06% 23.77% 39.37%
8 0.00% 0.11% 1.19% 5.10% 13.32% 25.59%
9 0.00% 0.02% 0.38% 2.13% 6.80% 15.26%
10 0.00% 0.00% 0.11% 0.81% 3.17% 8.38%
11 0.00% 0.00% 0.03% 0.28% 1.36% 4.25%
12 0.00% 0.00% 0.01% 0.09% 0.54% 2.00%
13 0.00% 0.00% 0.00% 0.03% 0.20% 0.88%

14 0.00000% 0.00000% 0.00034% 0.00754% 0.06911% 0.35998%
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Fri Apr-08-05 09:24 AM
Response to Reply #158
159. You just cannot admit you were wrong
even when it is obvious, do you.

If the match is on 1/10th (that is, 32.34 and 32.27 both match) then, if you have a range of 40 (let's say from 20 to 60), the total number of possibilities is 400 - from 20.0 to 59.9, going up each step by 0.1. Not 4000. Since the original poster was matching percentages with only one number after the decimal point, that is how it is. It is amazing how you cannot grasp such a simple concept.
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Fri Apr-08-05 09:35 AM
Response to Reply #159
160. Unfortunately, when you divide one number by another,
Edited on Fri Apr-08-05 09:58 AM by TruthIsAll
you get more than 1 decimal place.

What you fail to realize is that adolfo posted percentages, not just whole numbers.

1)Does 205/403=0.50868 =50.9% or 50.87% ?
2)Does 206/405=0.50864 =50.9% or 50.86% ?

2)According to you, 1=2. They don't

That is a concept that you seem to have a problem with.
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Fri Apr-08-05 09:54 AM
Response to Reply #160
161. Deleted message
Message removed by moderator. Click here to review the message board rules.
 
TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Fri Apr-08-05 10:00 AM
Response to Reply #161
162. Go back to post #160. You replied too quickly... nt
Edited on Fri Apr-08-05 10:03 AM by TruthIsAll
Unfortunately, when you divide one number by another,
you get more than 1 decimal place.

What you fail to realize is that adolfo posted percentages, not just whole numbers.

1)Does 205/403=0.50868 =50.9% or 50.87% ?
2)Does 206/405=0.50864 =50.9% or 50.86% ?

2)According to you, 1=2. They don't

That is a concept that you seem to have a problem with.


Get it now?
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Fri Apr-08-05 10:15 AM
Response to Reply #162
164. Deleted message
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Fri Apr-08-05 10:30 AM
Response to Reply #164
167. Deleted message
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Fri Apr-08-05 10:34 AM
Response to Reply #167
168. Deleted message
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Fri Apr-08-05 11:07 AM
Response to Reply #168
173. GLAD YOU BOOKMARKED. SO WILL I.
Edited on Fri Apr-08-05 11:07 AM by TruthIsAll
THE RECORD WILL PERMANENTLY RECORD YOUR BOGUS ARGUMENTS AND SHRILL PERSONAL ATTACKS OF DESPERATION.

AND THEY ARE NOTHING TO BE PROUD OF.
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Fri Apr-08-05 11:13 AM
Response to Reply #173
174. LOL - yes,
calling someone "Obnoxious SOB" (as you did above) in response to a request to answer a simple mathematical question (and you still did not figure the answer to it out, did you? Why don't you ask some 8th-grader to help you) is definitely a "shrill personal attack", you are right.
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Fri Apr-08-05 10:42 AM
Response to Reply #164
169. BUT THAT WOULD NOT BE A MATCH IN THE SIMULATION YOU CITE
Edited on Fri Apr-08-05 10:49 AM by TruthIsAll
FROM EOMER.

YOU ARE FORCING THE RESULT IN THE SIMULATION TO MAKE IT APPEAR THAT MATCHES TO WITHIN 1 PERCENTAGE DECIMAL ARE MORE FREQUENT.

SORRY, YOU CANNOT HAVE IT BOTH WAYS.

I HAVE ALREADY POSTED PROOF TODAY THAT YOUR "MATCHES" ARE NOT REALLY
MATCHES AT ALL. YOU DOUBLE THE COUNT BY YOUR SELECTIVE USE OF THE DIFFERENCE CRITERION.

YOU CANNOT FOOL US.
YOU ONLY MAKE OUR CASE STRONGER.

YOUR SHRILL RESPONSES HAVE THE SMELL OF DESPERATION.


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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Fri Apr-08-05 10:50 AM
Response to Reply #169
171. And you still have not answered a simple
question asked in #161. Let's see - 4 posts since it was asked and you still can't answer it.
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Thu Apr-07-05 12:37 PM
Response to Reply #128
134. Deleted message
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Name removed Donating Member (0 posts) Send PM | Profile | Ignore Thu Apr-07-05 12:41 PM
Response to Reply #134
136. Deleted message
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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Thu Apr-07-05 11:06 AM
Response to Reply #113
122. Work in Progress
Edited on Thu Apr-07-05 11:11 AM by adolfo
It is a work in progress. There are more reports that need to be gathered before presentation. I have yet to publish everything available for strategic reasons. This board is watched by a few people that some may find of interest.

For duplicating the results independently; all you need is the Precinct Voter Registration Statistics (must be book closing) and the Official Election Results (by Precinct). The rest is simple math.

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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 08:58 AM
Response to Reply #105
110. 1900 Sorted by match. Further proof 14 unlikely: Probability = 1.31%
Edited on Thu Apr-07-05 09:15 AM by TruthIsAll
Prob at least 14 adjacent matches: 1.31%

=1 - BINOMDIST(13,1900,0.0037,TRUE)

Range	Vote	Register				
High	500	1000				
Low	100	500				
RandBetween(High,Low)				

Average	301.90	746.22	0.42	42.02	20.58	268
stdev	114.17	145.26	0.18	18.11	15.44	

14.11%	268/1900 odds of a match with any other precinct	
0.37% 	14/3800 odds of a match with adjacent precinct	

Therefore,
Prob (at least 14 adjacent match) 
= 1- BINOMDIST(13,1900,0.0037,TRUE)
			
Prct	Vote	Reg	Ratio	Pct	Diff	Match
453	100	997	0.1	10.03	40.02	
620	102	990	0.103	10.3	0.09	0
619	100	962	0.104	10.4	2.88	0
328	101	959	0.105	10.53	3.62	0
905	104	986	0.105	10.55	15.99	0
859	103	959	0.107	10.74	14.11	0
1900	110	999	0.11	11.01	11.41	0
1756	108	970	0.111	11.13	10.98	0
179	114	996	0.114	11.45	47.22	0
1232	106	917	0.116	11.56	15.09	0
1088	101	863	0.117	11.7	21.23	0
140	109	931	0.117	11.71	47.87	0
1139	101	858	0.118	11.77	7.9	0
1850	100	842	0.119	11.88	17.25	0
1670	106	883	0.12	12	15.31	0
133	103	858	0.12	12	26.46	1
394	111	913	0.122	12.16	50.1	0
1335	101	830	0.122	12.17	16.23	0
433	102	838	0.122	12.17	20.85	1
1504	121	989	0.122	12.23	18.17	0
957	119	973	0.122	12.23	26.21	1
203	117	955	0.123	12.25	48.51	0
1626	120	976	0.123	12.3	40.11	0
985	105	852	0.123	12.32	33.35	0
1898	123	990	0.124	12.42	27.76	0
311	101	811	0.125	12.45	52.69	0
922	120	962	0.125	12.47	6.75	0
152	124	989	0.125	12.54	35.02	0
643	107	851	0.126	12.57	0.09	0
396	125	994	0.126	12.58	15.95	0
642	125	987	0.127	12.66	44.24	0
2	118	924	0.128	12.77	72.1	0
1253	122	949	0.129	12.86	42.78	0
533	110	853	0.129	12.9	19.19	0
760	123	949	0.13	12.96	59.85	0
383	124	952	0.13	13.03	35.89	0
1078	117	894	0.131	13.09	40.83	0
966	104	793	0.131	13.11	62.13	0
349	122	929	0.131	13.13	12.14	0
125	113	854	0.132	13.23	51.92	0
618	128	964	0.133	13.28	20.39	0
602	102	758	0.135	13.46	58.5	0
32	101	749	0.135	13.48	36.12	0
1404	114	845	0.135	13.49	34.51	0
86	135	993	0.136	13.6	54.78	0
518	123	901	0.137	13.65	47.11	0
1307	132	965	0.137	13.68	21.08	0
451	102	745	0.137	13.69	17.34	0
740	132	961	0.137	13.74	57.52	0
924	105	763	0.138	13.76	32.17	0
1053	126	911	0.138	13.83	31.76	0
551	120	867	0.138	13.84	26.71	0
246	107	770	0.139	13.9	4.06	0
1185	100	716	0.14	13.97	23.47	0
1536	139	985	0.141	14.11	10.99	0
327	140	989	0.142	14.16	24.75	0
1263	117	814	0.144	14.37	53.91	0
892	122	845	0.144	14.44	52.14	0
1030	114	786	0.145	14.5	2.28	0
23	145	1000	0.145	14.5	24.99	1
155	126	865	0.146	14.57	14.55	0
1320	137	939	0.146	14.59	23.29	0
412	134	916	0.146	14.63	17.2	0
1341	126	859	0.147	14.67	17.07	0
9	143	970	0.147	14.74	7.58	0
149	112	751	0.149	14.91	25.26	0
446	110	736	0.149	14.95	31.81	0
240	106	709	0.15	14.95	52.66	1
1081	121	807	0.15	14.99	45.77	0
1813	117	780	0.15	15	37.28	0
1637	118	777	0.152	15.19	12.9	0
195	142	924	0.154	15.37	13.46	0
478	154	999	0.154	15.42	26.75	0
761	136	879	0.155	15.47	2.51	0
925	113	728	0.155	15.52	1.76	0
1557	112	721	0.155	15.53	0.61	0
1323	118	760	0.155	15.53	37.52	1
357	124	795	0.156	15.6	3.95	0
1714	148	947	0.156	15.63	41.2	0
1612	141	901	0.156	15.65	4.33	0
530	143	914	0.156	15.65	69.34	1
192	128	815	0.157	15.71	21.18	0
572	123	783	0.157	15.71	44.34	1
773	121	765	0.158	15.82	1.01	0
157	139	875	0.159	15.89	42.8	0
1429	133	833	0.16	15.97	47.28	0
1346	104	648	0.16	16.05	12.4	0
1390	123	765	0.161	16.08	31.13	0
1067	160	995	0.161	16.08	40.9	1
987	150	932	0.161	16.09	5.78	0
1485	133	826	0.161	16.1	60.65	0
1556	118	731	0.161	16.14	1.67	0
1709	146	900	0.162	16.22	3.01	0
663	114	703	0.162	16.22	40.34	1
1869	125	767	0.163	16.3	32.46	0
1522	145	888	0.163	16.33	19.86	0
807	117	714	0.164	16.39	4.56	0
1699	118	720	0.164	16.39	9.15	1
787	160	976	0.164	16.39	44.14	1
1780	110	670	0.164	16.42	29.44	0
1645	136	823	0.165	16.52	9.84	0
1130	125	756	0.165	16.53	56.79	0
130	118	711	0.166	16.6	27.66	0
244	124	745	0.166	16.64	36	0
898	163	978	0.167	16.67	17.03	0
278	151	903	0.167	16.72	7.6	0
1413	131	782	0.168	16.75	29.67	0
1029	123	733	0.168	16.78	6.33	0
772	106	630	0.168	16.83	42.54	0
1213	121	718	0.169	16.85	9.34	0
797	135	800	0.169	16.88	12.57	0
345	153	906	0.169	16.89	29.36	0
736	151	893	0.169	16.91	49.27	0
970	153	902	0.17	16.96	2.19	0
1354	153	901	0.17	16.98	17.51	0
234	137	804	0.17	17.04	21.79	0
1735	122	716	0.17	17.04	22.56	1
1787	141	826	0.171	17.07	20.48	0
1696	104	608	0.171	17.11	33.51	0
1632	115	671	0.171	17.14	29.48	0
1331	110	640	0.172	17.19	27.13	0
61	140	813	0.172	17.22	21.21	0
388	161	932	0.173	17.27	17.38	0
1591	165	953	0.173	17.31	15.74	0
798	152	877	0.173	17.33	0.46	0
42	134	772	0.174	17.36	5.35	0
1753	105	605	0.174	17.36	8.02	1
1271	142	818	0.174	17.36	24.28	1
1700	157	902	0.174	17.41	1.02	0
632	148	850	0.174	17.41	35.94	1
378	169	970	0.174	17.42	11.47	0
1377	170	976	0.174	17.42	59.32	1
974	174	998	0.174	17.43	26.15	0
1024	174	997	0.175	17.45	41.34	0
161	121	693	0.175	17.46	33.82	0
1529	107	613	0.175	17.46	43.16	1
379	133	761	0.175	17.48	0.05	0
319	144	823	0.175	17.5	10.15	0
362	103	588	0.175	17.52	32.33	0
1797	135	770	0.175	17.53	10.31	0
900	129	734	0.176	17.57	32.25	0
1034	108	614	0.176	17.59	59.5	0
1439	137	778	0.176	17.61	16.74	0
1302	134	759	0.177	17.65	32.41	0
1585	101	570	0.177	17.72	26.03	0
875	153	862	0.177	17.75	4.26	0
426	148	834	0.177	17.75	19.16	1
280	142	799	0.178	17.77	38.7	0
1234	166	933	0.178	17.79	43.2	0
1555	148	831	0.178	17.81	12.72	0
1011	134	752	0.178	17.82	26.76	0
1703	169	946	0.179	17.86	18.54	0
1711	176	985	0.179	17.87	16.51	0
245	128	713	0.18	17.95	1.31	0
1662	154	858	0.179	17.95	8.56	1
131	137	760	0.18	18.03	1.43	0
1694	176	974	0.181	18.07	13.96	0
1697	164	907	0.181	18.08	0.98	0
840	113	623	0.181	18.14	6.78	0
1607	106	584	0.182	18.15	21.79	0
467	126	691	0.182	18.23	5.31	0
1492	122	668	0.183	18.26	65.83	0
16	114	623	0.183	18.3	6.24	0
1074	139	758	0.183	18.34	24.81	0
440	168	916	0.183	18.34	38.37	1
1690	176	958	0.184	18.37	33.39	0
24	161	876	0.184	18.38	3.88	0
683	108	585	0.185	18.46	16.53	0
719	161	869	0.185	18.53	30.39	0
1569	111	596	0.186	18.62	20.23	0
1382	177	947	0.187	18.69	3.46	0
1192	128	685	0.187	18.69	10.85	1
1114	168	899	0.187	18.69	24.01	1
368	165	883	0.187	18.69	41	1
1299	144	769	0.187	18.73	8.89	0
1244	151	804	0.188	18.78	26.17	0
722	186	990	0.188	18.79	41.33	0
1384	116	617	0.188	18.8	2	0
804	182	965	0.189	18.86	23.05	0
285	116	614	0.189	18.89	29.02	0
206	172	909	0.189	18.92	49.25	0
1300	159	840	0.189	18.93	0.2	0
134	115	606	0.19	18.98	6.97	0
1255	171	899	0.19	19.02	15.07	0
1546	190	999	0.19	19.02	33.42	1
1728	187	981	0.191	19.06	42.9	0
1285	119	624	0.191	19.07	34.34	0
1456	128	670	0.191	19.1	12.91	0
969	163	851	0.192	19.15	54.64	0
921	154	801	0.192	19.23	22.67	0
1708	156	811	0.192	19.24	18.84	0
627	150	778	0.193	19.28	27.35	0
320	155	803	0.193	19.3	1.81	0
565	162	834	0.194	19.42	2.77	0
59	162	834	0.194	19.42	48.51	1
1385	148	760	0.195	19.47	0.67	0
707	131	672	0.195	19.49	39.96	0
808	109	558	0.195	19.53	3.15	0
889	141	722	0.195	19.53	20.13	1
548	163	834	0.195	19.54	32.22	0
356	147	752	0.195	19.55	9.6	0
218	172	880	0.195	19.55	20.6	1
1458	118	603	0.196	19.57	15.99	0
364	130	663	0.196	19.61	1.05	0
1549	100	510	0.196	19.61	20.81	1
1293	103	525	0.196	19.62	36.1	0
1138	120	610	0.197	19.67	34.42	0
971	189	959	0.197	19.71	2.75	0
295	188	953	0.197	19.73	13.61	0
45	165	834	0.198	19.78	3.79	0
1835	175	884	0.198	19.8	4.73	0
817	188	949	0.198	19.81	18.8	0
1079	122	614	0.199	19.87	6.78	0
430	179	900	0.199	19.89	26.37	0
1634	145	729	0.199	19.89	28.13	1
1339	173	870	0.199	19.89	64.28	1
1611	174	871	0.2	19.98	31.06	0
1741	174	871	0.2	19.98	58.92	1
1241	194	970	0.2	20	18.16	0
1096	198	990	0.2	20	23.52	1
343	118	589	0.2	20.03	31.1	0
1250	104	518	0.201	20.08	26.08	0
1291	168	836	0.201	20.1	6.45	0
100	185	918	0.202	20.15	9.94	0
1311	172	853	0.202	20.16	32.73	0
288	189	937	0.202	20.17	2.31	0
235	118	584	0.202	20.21	3.17	0
991	142	702	0.202	20.23	25.8	0
1239	175	864	0.203	20.25	22.01	0
341	188	928	0.203	20.26	20.06	0
863	170	839	0.203	20.26	29.06	1
6	172	849	0.203	20.26	47.71	1
1402	170	839	0.203	20.26	54.55	1
1763	177	872	0.203	20.3	2.62	0
1327	156	767	0.203	20.34	16.77	0
1880	164	806	0.203	20.35	31.91	0
591	129	634	0.203	20.35	52.48	1
110	103	505	0.204	20.4	27.5	0
1294	201	984	0.204	20.43	0.81	0
1836	153	747	0.205	20.48	0.69	0
1174	153	747	0.205	20.48	49.14	1
1125	145	706	0.205	20.54	42.99	0
1759	171	831	0.206	20.58	9.42	0
527	106	515	0.206	20.58	29.64	1
363	194	939	0.207	20.66	3.14	0
610	157	760	0.207	20.66	4.67	1
1839	170	823	0.207	20.66	13.5	1
48	159	769	0.207	20.68	1.83	0
4	117	565	0.207	20.71	29.87	0
1671	165	796	0.207	20.73	8.72	0
142	158	762	0.207	20.73	33.78	1
1058	130	627	0.207	20.73	40.93	1
1383	119	572	0.208	20.8	2.11	0
929	197	942	0.209	20.91	8.79	0
676	110	526	0.209	20.91	18.61	1
570	189	904	0.209	20.91	22.11	1
1682	133	635	0.209	20.94	18.21	0
806	141	673	0.21	20.95	2.49	0
1443	149	711	0.21	20.96	5.89	0
1400	174	830	0.21	20.96	8.39	1
1394	121	577	0.21	20.97	20.38	0
138	151	720	0.21	20.97	20.85	1
1225	202	962	0.21	21	13.45	0
1265	106	502	0.211	21.12	43.69	0
1854	193	913	0.211	21.14	4.48	0
1273	175	828	0.211	21.14	9.56	1
504	174	822	0.212	21.17	11.44	0
724	207	977	0.212	21.19	22.36	0
1158	212	1000	0.212	21.2	10.17	0
541	177	835	0.212	21.2	14.65	1
827	138	649	0.213	21.26	20.17	0
79	147	691	0.213	21.27	28.98	0
1082	122	573	0.213	21.29	6.3	0
1018	191	897	0.213	21.29	18.17	1
1451	190	891	0.213	21.32	13.73	0
436	155	725	0.214	21.38	9.3	0
454	203	949	0.214	21.39	11.36	0
1387	195	909	0.215	21.45	29.57	0
1317	131	610	0.215	21.48	28.4	0
249	175	813	0.215	21.53	33.57	0
1726	206	957	0.215	21.53	48.18	1
462	199	923	0.216	21.56	31.85	0
1782	186	861	0.216	21.6	7.84	0
65	198	916	0.216	21.62	56.35	0
657	123	568	0.217	21.65	0.85	0
499	211	974	0.217	21.66	57.58	0
849	181	835	0.217	21.68	12.55	0
1761	197	906	0.217	21.74	26.49	0
1154	147	676	0.217	21.75	17.41	0
1642	200	919	0.218	21.76	21.58	0
199	194	889	0.218	21.82	11.51	0
1446	190	870	0.218	21.84	34.19	0
986	201	919	0.219	21.87	9.55	0
480	131	599	0.219	21.87	41.49	1
1375	194	885	0.219	21.92	28.48	0
415	203	923	0.22	21.99	20.76	0
623	174	791	0.22	22	17.84	0
874	197	895	0.22	22.01	33.25	0
183	163	740	0.22	22.03	34.24	0
713	214	971	0.22	22.04	1.37	0
1216	205	930	0.22	22.04	21.43	1
1367	214	970	0.221	22.06	67.3	0
1755	199	900	0.221	22.11	24.9	0
1188	216	976	0.221	22.13	12.14	0
1381	142	641	0.222	22.15	12.53	0
298	163	736	0.221	22.15	41.63	1
564	212	955	0.222	22.2	27.2	0
1888	166	747	0.222	22.22	28.58	0
1268	112	502	0.223	22.31	6.86	0
8	119	533	0.223	22.33	25.33	0
672	199	888	0.224	22.41	24.4	0
1899	148	660	0.224	22.42	10	0
1071	149	664	0.224	22.44	29.13	0
685	200	891	0.224	22.45	47.18	0
255	209	931	0.224	22.45	54.37	1
287	214	952	0.225	22.48	6.06	0
47	133	591	0.225	22.5	19.72	0
656	133	591	0.225	22.5	41.1	1
944	176	782	0.225	22.51	14.67	0
1411	124	550	0.225	22.55	23.9	0
1056	130	576	0.226	22.57	13.76	0
1678	174	771	0.226	22.57	37.27	1
1547	133	589	0.226	22.58	3.56	0
90	225	994	0.226	22.64	30.66	0
1601	151	666	0.227	22.67	23.45	0
41	220	969	0.227	22.7	17.76	0
916	179	788	0.227	22.72	2.38	0
1181	217	955	0.227	22.72	38.4	1
1525	200	880	0.227	22.73	15.22	0
775	169	738	0.229	22.9	44.42	0
1762	121	528	0.229	22.92	1.17	0
1562	178	774	0.23	23	25.89	0
1123	200	866	0.231	23.09	7.2	0
1649	173	749	0.231	23.1	0.98	0
1028	147	636	0.231	23.11	10.75	0
668	130	562	0.231	23.13	13.85	0
1575	166	717	0.232	23.15	10.7	0
795	186	801	0.232	23.22	31.15	0
1046	118	508	0.232	23.23	24.85	0
955	225	964	0.233	23.34	2.19	0
841	178	762	0.234	23.36	5.22	0
1622	204	873	0.234	23.37	27.58	0
712	199	850	0.234	23.41	27.77	0
390	224	956	0.234	23.43	9.07	0
805	124	529	0.234	23.44	4.58	0
1061	193	823	0.235	23.45	51.36	0
793	144	613	0.235	23.49	13.38	0
1427	180	766	0.235	23.5	15.46	0
1104	141	599	0.235	23.54	7.19	0
466	137	582	0.235	23.54	12.72	1
1013	145	616	0.235	23.54	45.23	1
1563	217	921	0.236	23.56	0.56	0
44	136	577	0.236	23.57	1.92	0
1423	204	862	0.237	23.67	17.44	0
260	178	752	0.237	23.67	30.91	1
542	153	644	0.238	23.76	2.56	0
1497	210	884	0.238	23.76	42.97	1
679	159	668	0.238	23.8	13.1	0
927	167	695	0.24	24.03	42.33	0
493	169	703	0.24	24.04	28.18	0
1830	238	989	0.241	24.06	8.21	0
1648	157	652	0.241	24.08	26.06	0
752	177	735	0.241	24.08	28.4	1
1553	198	820	0.241	24.15	24.12	0
1732	217	896	0.242	24.22	19.13	0
1770	137	564	0.243	24.29	1.11	0
1615	174	716	0.243	24.3	41.08	0
277	216	888	0.243	24.32	35.87	0
104	214	879	0.243	24.35	16.37	0
418	192	787	0.244	24.4	14.98	0
1223	216	884	0.244	24.43	6.67	0
333	133	544	0.244	24.45	35.55	0
1579	227	928	0.245	24.46	0.12	0
1706	162	662	0.245	24.47	26.48	0
413	177	723	0.245	24.48	9.85	0
1834	219	893	0.245	24.52	9.25	0
15	213	868	0.245	24.54	40.19	0
1098	134	546	0.245	24.54	42.58	1
1578	160	651	0.246	24.58	24.01	0
1149	195	793	0.246	24.59	6.35	0
882	215	874	0.246	24.6	59.89	0
1650	172	699	0.246	24.61	1.51	0
932	240	974	0.246	24.64	31.39	0
1038	130	527	0.247	24.67	35.6	0
334	135	547	0.247	24.68	0.23	0
1815	180	727	0.248	24.76	34.17	0
1160	234	942	0.248	24.84	21.73	0
858	161	648	0.248	24.85	41.01	0
1360	247	993	0.249	24.87	7.09	0
515	209	840	0.249	24.88	30.92	0
26	219	880	0.249	24.89	9.97	0
839	239	959	0.249	24.92	4.04	0
652	235	943	0.249	24.92	20.5	1
102	246	985	0.25	24.97	10.87	0
1416	200	801	0.25	24.97	12.96	1
851	238	952	0.25	25	10.95	0
1256	235	939	0.25	25.03	6.01	0
1461	232	926	0.251	25.05	16.66	0
832	205	818	0.251	25.06	13.37	0
915	138	550	0.251	25.09	38.66	0
62	197	785	0.251	25.1	7.88	0
1535	242	964	0.251	25.1	10.02	1
1783	209	832	0.251	25.12	3.52	0
330	140	557	0.251	25.13	20.37	0
365	184	732	0.251	25.14	5.53	0
1794	218	865	0.252	25.2	2.19	0
348	137	542	0.253	25.28	8.54	0
537	208	822	0.253	25.3	2.59	0
609	173	683	0.253	25.33	8.99	0
1752	171	674	0.254	25.37	43.91	0
1769	238	937	0.254	25.4	26.13	0
1141	163	641	0.254	25.43	20.7	0
828	199	781	0.255	25.48	4.22	0
43	169	663	0.255	25.49	8.13	0
1283	201	788	0.255	25.51	2.5	0
954	229	897	0.255	25.53	51.71	0
1698	154	603	0.255	25.54	7.46	0
256	252	986	0.256	25.56	3.11	0
829	220	859	0.256	25.61	0.13	0
1853	155	605	0.256	25.62	43.44	0
856	144	562	0.256	25.62	49.15	1
902	208	811	0.256	25.65	33.92	0
1877	216	841	0.257	25.68	32.43	0
1733	164	637	0.257	25.75	1.53	0
1325	228	883	0.258	25.82	23.51	0
473	234	905	0.259	25.86	1.22	0
36	255	985	0.259	25.89	10.86	0
1001	152	587	0.259	25.89	26.52	1
766	221	852	0.259	25.94	5.36	0
1281	159	613	0.259	25.94	34.27	1
1209	198	763	0.26	25.95	1.27	0
299	259	997	0.26	25.98	3.83	0
1672	143	548	0.261	26.09	5.37	0
1164	155	594	0.261	26.09	40.06	1
705	195	747	0.261	26.1	11.61	0
34	187	716	0.261	26.12	24.64	0
224	232	888	0.261	26.13	15.93	0
177	249	952	0.262	26.16	15.26	0
952	141	539	0.262	26.16	35.59	1
1212	192	733	0.262	26.19	5.49	0
997	209	798	0.262	26.19	30.33	1
1126	182	694	0.262	26.22	5.69	0
510	262	995	0.263	26.33	41.33	0
1644	242	918	0.264	26.36	37.81	0
1822	217	823	0.264	26.37	36.62	0
1151	256	969	0.264	26.42	4.01	0
1094	218	825	0.264	26.42	24.68	1
1661	141	532	0.265	26.5	1.93	0
1290	232	874	0.265	26.54	32.55	0
904	207	780	0.265	26.54	32.82	1
75	172	647	0.266	26.58	15.11	0
339	257	967	0.266	26.58	31.72	1
559	247	929	0.266	26.59	28.24	0
1532	239	898	0.266	26.61	12.14	0
1231	178	668	0.266	26.65	10.88	0
586	149	558	0.267	26.7	7.89	0
11	194	726	0.267	26.72	14.07	0
1219	266	995	0.267	26.73	13.15	0
820	253	946	0.267	26.74	57.12	0
777	177	660	0.268	26.82	0.37	0
749	264	984	0.268	26.83	30.76	0
1442	178	663	0.268	26.85	2.34	0
188	209	778	0.269	26.86	9.68	0
1101	152	566	0.269	26.86	15.43	1
1418	209	777	0.269	26.9	1.97	0
272	169	628	0.269	26.91	15.25	0
1596	224	832	0.269	26.92	24.17	0
472	189	698	0.271	27.08	0.85	0
937	255	940	0.271	27.13	26.51	0
1489	145	534	0.272	27.15	16.86	0
113	243	895	0.272	27.15	37.32	1
776	258	949	0.272	27.19	4.29	0
1344	155	570	0.272	27.19	13.21	1
1208	202	742	0.272	27.22	14.45	0
1581	233	855	0.273	27.25	27.19	0
1669	218	798	0.273	27.32	35.48	0
812	243	889	0.273	27.33	23.71	0
950	145	530	0.274	27.36	21.57	0
782	179	654	0.274	27.37	3.59	0
1793	238	869	0.274	27.39	20.85	0
1469	209	763	0.274	27.39	50.94	1
495	264	961	0.275	27.47	19.06	0
185	183	666	0.275	27.48	32.62	0
653	175	636	0.275	27.52	2.6	0
371	229	832	0.275	27.52	34.24	1
1298	253	916	0.276	27.62	18.99	0
988	205	742	0.276	27.63	11.53	0
318	217	785	0.276	27.64	5.26	0
592	272	983	0.277	27.67	7.32	0
1508	147	531	0.277	27.68	16.31	0
1530	146	526	0.278	27.76	10.3	0
1589	199	715	0.278	27.83	31.45	0
1796	174	625	0.278	27.84	16.26	0
536	207	742	0.279	27.9	4.73	0
1526	191	684	0.279	27.92	5.2	0
1767	213	763	0.279	27.92	39.61	1
471	143	512	0.279	27.93	14.26	0
28	243	869	0.28	27.96	31.45	0
1282	156	557	0.28	28.01	2.07	0
351	268	956	0.28	28.03	30.48	0
1437	169	603	0.28	28.03	48.47	1
1527	233	830	0.281	28.07	0.15	0
934	263	937	0.281	28.07	3.91	1
1515	221	787	0.281	28.08	48.28	0
1636	182	648	0.281	28.09	25.53	0
887	176	626	0.281	28.12	3.61	0
906	185	658	0.281	28.12	17.57	1
972	257	912	0.282	28.18	8.47	0
1586	253	893	0.283	28.33	10.61	0
1889	221	779	0.284	28.37	6.15	0
1334	240	845	0.284	28.4	0.99	0
977	187	658	0.284	28.42	10.15	0
521	262	922	0.284	28.42	49.42	1
1660	261	918	0.284	28.43	54.9	0
1345	270	949	0.285	28.45	1.26	0
395	166	582	0.285	28.52	16.36	0
286	232	813	0.285	28.54	9.64	0
1790	224	784	0.286	28.57	0.22	0
80	237	829	0.286	28.59	7.32	0
1884	216	754	0.286	28.65	36.41	0
1200	267	931	0.287	28.68	23.06	0
606	186	648	0.287	28.7	14.33	0
175	207	721	0.287	28.71	44.42	0
647	160	557	0.287	28.73	20.49	0
789	217	755	0.287	28.74	44.13	0
1789	247	858	0.288	28.79	21.89	0
163	241	836	0.288	28.83	12.19	0
194	160	555	0.288	28.83	31.23	1
1417	280	970	0.289	28.87	3.9	0
377	195	675	0.289	28.89	57.38	0
838	267	922	0.29	28.96	11.66	0
427	278	958	0.29	29.02	11.27	0
1168	221	761	0.29	29.04	33.94	0
105	254	873	0.291	29.1	4.75	0
1363	189	649	0.291	29.12	18.15	0
154	214	735	0.291	29.12	22.86	1
1849	217	745	0.291	29.13	44.56	0
355	202	693	0.291	29.15	16.99	0
1267	222	761	0.292	29.17	2.5	0
1441	284	973	0.292	29.19	45.33	0
1115	152	520	0.292	29.23	10.54	0
1533	162	554	0.292	29.24	2.63	0
1512	290	989	0.293	29.32	16.87	0
1109	251	856	0.293	29.32	26.55	1
1542	277	944	0.293	29.34	12.04	0
1399	280	954	0.294	29.35	32.28	0
1321	207	705	0.294	29.36	14.77	0
1333	159	541	0.294	29.39	20.36	0
1269	190	646	0.294	29.41	7.1	0
441	263	894	0.294	29.42	11.08	0
1736	221	751	0.294	29.43	12.39	0
485	279	948	0.294	29.43	38.14	1
1816	232	788	0.294	29.44	4.68	0
54	247	839	0.294	29.44	5.09	1
796	290	985	0.294	29.44	6.22	1
1781	164	557	0.294	29.44	13.03	1
1191	210	711	0.295	29.54	7.59	0
444	242	819	0.295	29.55	5.21	0
908	151	511	0.295	29.55	34.7	1
928	270	909	0.297	29.7	5.67	0
51	288	968	0.298	29.75	2.44	0
447	275	924	0.298	29.76	14.82	0
1405	275	924	0.298	29.76	16.27	1
1242	295	990	0.298	29.8	9.8	0
844	279	935	0.298	29.84	10.63	0
121	219	734	0.298	29.84	37.49	1
463	264	881	0.3	29.97	8.41	0
1758	297	990	0.3	30	36.73	0
1885	223	743	0.3	30.01	1.37	0
99	167	555	0.301	30.09	13.49	0
1337	279	927	0.301	30.1	16.96	0
1356	163	541	0.301	30.13	32.94	0
674	285	945	0.302	30.16	18.35	0
1396	218	722	0.302	30.19	27.76	0
1692	203	672	0.302	30.21	10.82	0
714	219	723	0.303	30.29	8.25	0
1122	229	756	0.303	30.29	27.18	1
1463	233	767	0.304	30.38	18.77	0
1503	291	957	0.304	30.41	2.2	0
941	274	901	0.304	30.41	2.71	1
1150	269	884	0.304	30.43	5.84	0
769	213	700	0.304	30.43	14.71	1
1801	202	663	0.305	30.47	25.63	0
1554	156	511	0.305	30.53	6.38	0
1846	233	762	0.306	30.58	45.28	0
435	185	603	0.307	30.68	23.77	0
1272	213	694	0.307	30.69	13.33	0
1175	237	772	0.307	30.7	10.22	0
1103	201	654	0.307	30.73	46.93	0
1712	282	916	0.308	30.79	12.92	0
405	241	781	0.309	30.86	53.8	0
314	256	829	0.309	30.88	34.66	0
1688	248	802	0.309	30.92	0.09	0
917	275	889	0.309	30.93	8.22	0
1148	194	627	0.309	30.94	36.92	0
781	204	659	0.31	30.96	36.64	0
1481	163	526	0.31	30.99	16.3	0
1687	223	719	0.31	31.02	4.25	0
450	184	593	0.31	31.03	37.03	0
543	239	770	0.31	31.04	7.28	0
1222	279	897	0.311	31.1	20.84	0
1543	219	704	0.311	31.11	1.76	0
660	303	972	0.312	31.17	24.53	0
964	299	957	0.312	31.24	33.14	0
765	241	770	0.313	31.3	30.82	0
88	182	581	0.313	31.33	6.81	0
1157	266	848	0.314	31.37	6.85	0
257	295	940	0.314	31.38	5.83	0
1582	216	687	0.314	31.44	4.19	0
1421	286	909	0.315	31.46	17.86	0
895	200	635	0.315	31.5	7.26	0
1467	251	796	0.315	31.53	28.81	0
1597	158	501	0.315	31.54	4.61	0
1127	252	799	0.315	31.54	5.31	1
1831	255	807	0.316	31.6	7.53	0
697	191	604	0.316	31.62	9.21	0
231	268	847	0.316	31.64	22.78	0
1266	229	723	0.317	31.67	10.56	0
1211	269	849	0.317	31.68	10.09	0
1784	211	665	0.317	31.73	6.61	0
886	224	706	0.317	31.73	14.87	1
1340	166	523	0.317	31.74	11.85	0
1875	232	731	0.317	31.74	28.53	1
411	297	933	0.318	31.83	24.19	0
213	209	656	0.319	31.86	9.2	0
578	245	769	0.319	31.86	10.61	1
842	311	975	0.319	31.9	8.54	0
1359	194	607	0.32	31.96	13.85	0
933	276	863	0.32	31.98	7.34	0
1455	202	631	0.32	32.01	21.19	0
1693	262	818	0.32	32.03	1.82	0
1673	301	938	0.321	32.09	5.99	0
539	190	592	0.321	32.09	19.17	1
532	266	829	0.321	32.09	45.33	1
165	306	953	0.321	32.11	4.19	0
729	183	570	0.321	32.11	14.93	1
1009	248	772	0.321	32.12	14.67	0
1823	191	594	0.322	32.15	5.79	0
50	244	758	0.322	32.19	17.88	0
999	235	729	0.322	32.24	8.45	0
1829	315	976	0.323	32.27	32.35	0
821	312	966	0.323	32.3	5.55	0
1827	284	879	0.323	32.31	8.29	0
1452	300	928	0.323	32.33	11	0
468	317	980	0.323	32.35	14.11	0
250	258	797	0.324	32.37	10.85	0
960	279	861	0.324	32.4	14.53	0
389	246	757	0.325	32.5	15.22	0
503	253	776	0.326	32.6	29.7	0
1502	241	739	0.326	32.61	49.56	0
535	170	521	0.326	32.63	8.89	0
1729	313	958	0.327	32.67	13.61	0
730	327	999	0.327	32.73	0.63	0
1576	257	785	0.327	32.74	9.59	0
1629	235	717	0.328	32.78	35.92	0
560	174	530	0.328	32.83	6.24	0
1022	299	909	0.329	32.89	8.05	0
317	257	781	0.329	32.91	22.45	0
1742	213	647	0.329	32.92	12.94	0
1087	299	908	0.329	32.93	28.28	0
437	251	762	0.329	32.94	11.56	0
604	306	927	0.33	33.01	8.55	0
432	246	745	0.33	33.02	6.21	0
755	327	989	0.331	33.06	3.86	0
1590	200	605	0.331	33.06	5.23	1
824	265	801	0.331	33.08	52.98	0
1050	274	828	0.331	33.09	5.54	0
940	261	788	0.331	33.12	1.35	0
1624	262	790	0.332	33.16	38.29	0
584	224	675	0.332	33.19	19.34	0
407	241	725	0.332	33.24	10.22	0
553	316	950	0.333	33.26	34.3	0
1811	327	983	0.333	33.27	8.25	0
810	191	574	0.333	33.28	12.45	0
127	262	786	0.333	33.33	0.95	0
294	306	918	0.333	33.33	30.11	1
198	314	942	0.333	33.33	53.53	1
1069	331	988	0.335	33.5	57.87	0
168	225	671	0.335	33.53	10.96	0
1177	184	547	0.336	33.64	26.09	0
617	235	698	0.337	33.67	6.09	0
757	197	585	0.337	33.68	1.85	0
854	197	585	0.337	33.68	22.94	1
897	248	736	0.337	33.7	9.06	0
556	256	759	0.337	33.73	7.58	0
715	186	551	0.338	33.76	3.47	0
1833	206	610	0.338	33.77	12.43	0
1260	194	574	0.338	33.8	0.62	0
269	192	568	0.338	33.8	23.61	1
1076	336	994	0.338	33.8	29.92	1
347	259	766	0.338	33.81	13.47	0
448	317	937	0.338	33.83	4.07	0
1099	270	798	0.338	33.83	9.29	1
1574	239	706	0.339	33.85	16.56	0
1027	213	629	0.339	33.86	15.46	0
1667	265	782	0.339	33.89	12.29	0
910	232	683	0.34	33.97	24.42	0
864	206	606	0.34	33.99	13.73	0
1566	246	722	0.341	34.07	3.9	0
1201	333	977	0.341	34.08	5.41	0
1254	269	789	0.341	34.09	21.24	0
1470	265	777	0.341	34.11	6.71	0
1655	310	908	0.341	34.14	5.94	0
1838	332	972	0.342	34.16	54.99	0
1747	262	766	0.342	34.2	9.06	0
848	306	894	0.342	34.23	14.03	0
1187	244	712	0.343	34.27	3.7	0
126	338	986	0.343	34.28	21.05	0
688	199	580	0.343	34.31	17.62	0
608	233	679	0.343	34.32	25.35	0
375	313	912	0.343	34.32	29.99	1
1438	215	626	0.343	34.35	6.32	0
1516	340	989	0.344	34.38	6.3	0
1710	297	864	0.344	34.38	18.15	1
1229	288	837	0.344	34.41	21.26	0
1259	190	552	0.344	34.42	3.82	0
1224	288	836	0.344	34.45	10.02	0
939	343	995	0.345	34.47	29.29	0
1353	258	748	0.345	34.49	22.08	0
302	186	539	0.345	34.51	25	0
911	278	805	0.345	34.53	0.57	0
53	298	863	0.345	34.53	9.12	1
66	337	976	0.345	34.53	12.91	1
1133	180	521	0.345	34.55	16.62	0
1303	279	807	0.346	34.57	16.92	0
222	212	613	0.346	34.58	2.52	0
585	321	928	0.346	34.59	1.41	0
1032	220	636	0.346	34.59	63.03	1
779	294	849	0.346	34.63	26.89	0
387	332	958	0.347	34.66	23.76	0
1380	326	940	0.347	34.68	12.37	0
693	323	931	0.347	34.69	10.53	0
421	205	590	0.347	34.75	25.62	0
443	292	840	0.348	34.76	11.17	0
1306	219	630	0.348	34.76	17.39	1
994	234	673	0.348	34.77	37.45	0
1506	289	831	0.348	34.78	16.46	0
1867	345	991	0.348	34.81	13.1	0
636	264	758	0.348	34.83	14.15	0
700	253	726	0.348	34.85	26.68	0
25	244	700	0.349	34.86	16.48	0
1370	343	983	0.349	34.89	25.7	0
229	181	518	0.349	34.94	28.67	0
554	304	869	0.35	34.98	1.72	0
682	275	786	0.35	34.99	29.6	0
1473	336	960	0.35	35	1.85	0
1738	242	691	0.35	35.02	36.38	0
1863	268	765	0.35	35.03	17.95	0
1450	298	850	0.351	35.06	11.95	0
1471	187	533	0.351	35.08	0.98	0
1824	302	861	0.351	35.08	2.92	1
1424	214	610	0.351	35.08	11.42	1
208	343	977	0.351	35.11	34.38	0
1534	346	985	0.351	35.13	5.89	0
274	294	837	0.351	35.13	10.26	1
1777	191	543	0.352	35.17	17.53	0
546	272	773	0.352	35.19	9.85	0
150	317	900	0.352	35.22	20.31	0
1686	195	553	0.353	35.26	5.37	0
55	264	748	0.353	35.29	5.85	0
39	238	674	0.353	35.31	7.88	0
1161	262	742	0.353	35.31	10.47	1
1464	337	954	0.353	35.32	4.95	0
677	326	922	0.354	35.36	14.45	0
384	291	821	0.354	35.44	22.42	0
1170	343	966	0.355	35.51	29.31	0
716	275	774	0.355	35.53	1.77	0
756	216	608	0.355	35.53	2.46	1
1457	335	942	0.356	35.56	16.46	0
147	205	576	0.356	35.59	2.06	0
1476	313	879	0.356	35.61	17.53	0
1855	356	999	0.356	35.64	14.5	0
1251	274	768	0.357	35.68	15.6	0
70	185	517	0.358	35.78	10.38	0
172	208	581	0.358	35.8	41.77	0
540	309	862	0.358	35.85	3.75	0
101	309	862	0.358	35.85	15.69	1
1120	359	1000	0.359	35.9	4.57	0
373	194	540	0.359	35.93	15.13	0
1105	279	776	0.36	35.95	12.41	0
850	238	662	0.36	35.95	14.28	1
1217	257	712	0.361	36.1	14.05	0
95	213	589	0.362	36.16	15.91	0
1521	317	876	0.362	36.19	21.5	0
1117	223	616	0.362	36.2	14.33	0
474	294	812	0.362	36.21	10.35	0
1882	360	993	0.363	36.25	52.05	0
465	186	513	0.363	36.26	0.29	0
238	309	852	0.363	36.27	9.61	0
1658	234	645	0.363	36.28	1.64	0
164	347	956	0.363	36.3	7.47	0
561	354	975	0.363	36.31	3.48	0
482	313	862	0.363	36.31	5.7	1
1055	299	823	0.363	36.33	2.6	0
975	358	985	0.363	36.35	18.91	0
1702	344	945	0.364	36.4	31.18	0
1296	321	881	0.364	36.44	0.74	0
746	344	944	0.364	36.44	12.74	1
1274	227	623	0.364	36.44	15.3	1
1773	281	770	0.365	36.49	26.46	0
1778	315	863	0.365	36.5	1.33	0
464	269	736	0.365	36.55	6.58	0
187	216	591	0.365	36.55	16.68	1
263	279	763	0.366	36.57	13.57	0
866	352	960	0.367	36.67	0.85	0
1171	201	548	0.367	36.68	1.17	0
948	348	948	0.367	36.71	3.48	0
261	219	596	0.367	36.74	13.07	0
35	226	615	0.367	36.75	10.63	0
581	334	907	0.368	36.82	0.58	0
1472	332	901	0.368	36.85	1.76	0
792	337	914	0.369	36.87	22.47	0
867	249	675	0.369	36.89	0.22	0
1178	242	656	0.369	36.89	3.25	1
191	346	938	0.369	36.89	21.15	1
678	300	813	0.369	36.9	1.54	0
425	234	634	0.369	36.91	18.56	0
754	363	983	0.369	36.93	45.82	0
1048	241	652	0.37	36.96	7.06	0
667	240	649	0.37	36.98	29.55	0
82	346	935	0.37	37.01	9.12	0
270	269	726	0.371	37.05	3.25	0
221	187	504	0.371	37.1	8.64	0
1326	360	970	0.371	37.11	11.29	0
1190	222	598	0.371	37.12	18.3	0
1245	359	966	0.372	37.16	18.38	0
1295	368	990	0.372	37.17	16.74	0
943	361	971	0.372	37.18	21.73	0
640	304	813	0.374	37.39	16.88	0
580	187	500	0.374	37.4	22.08	0
1184	237	633	0.374	37.44	20.22	0
106	331	883	0.375	37.49	8.39	0
865	335	893	0.375	37.51	3.52	0
1230	301	802	0.375	37.53	3.12	0
1786	294	783	0.375	37.55	19.54	0
397	246	654	0.376	37.61	25.04	0
146	192	510	0.376	37.65	14.59	0
1674	260	690	0.377	37.68	5.59	0
704	310	822	0.377	37.71	11.83	0
1179	228	604	0.377	37.75	0.86	0
292	293	776	0.378	37.76	8.12	0
1572	193	511	0.378	37.77	12.65	0
486	232	614	0.378	37.79	8.35	0
97	230	608	0.378	37.83	30.46	0
1319	222	586	0.379	37.88	14.45	0
1723	272	718	0.379	37.88	0.1	1
967	363	958	0.379	37.89	24.78	0
1657	375	989	0.379	37.92	28.2	0
1415	322	849	0.379	37.93	8.94	0
359	274	722	0.38	37.95	0.55	0
1864	255	672	0.379	37.95	2.91	1
1524	351	925	0.379	37.95	4.16	1
661	243	640	0.38	37.97	6.8	0
1186	224	590	0.38	37.97	24	1
1565	221	582	0.38	37.97	34.48	1
1722	327	861	0.38	37.98	12.51	0
513	215	566	0.38	37.99	42.2	0
600	367	965	0.38	38.03	8.85	0
800	278	731	0.38	38.03	16.69	1
913	321	844	0.38	38.03	25.25	1
1707	324	851	0.381	38.07	13.6	0
1453	373	979	0.381	38.1	5.77	0
87	209	548	0.381	38.14	24.54	0
1240	240	629	0.382	38.16	17.9	0
1559	290	759	0.382	38.21	35.52	0
1156	227	594	0.382	38.22	25.48	0
1602	362	947	0.382	38.23	15.55	0
1258	366	957	0.382	38.24	10.74	0
742	288	753	0.382	38.25	8.47	0
689	272	710	0.383	38.31	4	0
1342	374	974	0.384	38.4	23.73	0
576	358	932	0.384	38.41	27.17	0
831	382	994	0.384	38.43	17.98	0
60	329	856	0.384	38.43	19.01	1
956	226	588	0.384	38.44	15.1	0
743	233	606	0.384	38.45	0.2	0
132	290	754	0.385	38.46	20.44	0
321	357	928	0.385	38.47	19.17	0
763	317	824	0.385	38.47	37.07	1
158	254	660	0.385	38.48	22.6	0
358	343	891	0.385	38.5	22.9	0
976	243	630	0.386	38.57	2.23	0
816	361	935	0.386	38.61	1.36	0
1049	209	541	0.386	38.63	1.67	0
1603	371	959	0.387	38.69	0.46	0
1482	335	865	0.387	38.73	7.74	0
402	267	689	0.388	38.75	0.59	0
1531	341	880	0.388	38.75	10.99	1
894	255	658	0.388	38.75	17.75	1
159	268	691	0.388	38.78	0.3	0
1194	212	546	0.388	38.83	4.11	0
233	299	770	0.388	38.83	15.79	1
802	304	783	0.388	38.83	16.2	1
119	230	592	0.389	38.85	23.79	0
1568	326	839	0.389	38.86	48.15	0
326	347	892	0.389	38.9	2.73	0
613	346	889	0.389	38.92	8.7	0
1054	343	881	0.389	38.93	25.1	0
720	338	868	0.389	38.94	20.41	0
1426	233	598	0.39	38.96	0.81	0
491	298	764	0.39	39.01	17.03	0
122	371	950	0.391	39.05	9.22	0
1182	327	837	0.391	39.07	16.35	0
1153	213	544	0.392	39.15	15.06	0
1681	354	904	0.392	39.16	7.14	0
1745	369	942	0.392	39.17	34.3	0
409	306	781	0.392	39.18	10.65	0
431	315	803	0.392	39.23	19.34	0
1328	368	937	0.393	39.27	18.94	0
650	205	522	0.393	39.27	35.78	1
1896	326	829	0.393	39.32	2.03	0
458	380	966	0.393	39.34	3.89	0
401	277	704	0.393	39.35	7.19	0
1718	224	569	0.394	39.37	0.35	0
417	302	767	0.394	39.37	28.54	1
136	215	545	0.394	39.45	25.48	0
1017	382	968	0.395	39.46	36.3	0
1448	259	656	0.395	39.48	24.64	0
22	357	904	0.395	39.49	19.82	0
675	296	749	0.395	39.52	9.36	0
1734	360	909	0.396	39.6	13.86	0
888	301	759	0.397	39.66	11.54	0
1717	394	992	0.397	39.72	31.29	0
616	332	835	0.398	39.76	8.38	0
1425	245	616	0.398	39.77	4.69	0
622	239	600	0.398	39.83	1.54	0
633	245	615	0.398	39.84	22.43	0
582	214	537	0.399	39.85	3.03	0
750	263	660	0.398	39.85	13.02	1
1218	353	885	0.399	39.89	3.79	0
1537	382	957	0.399	39.92	25.8	0
1606	266	666	0.399	39.94	20.88	0
611	314	786	0.399	39.95	19.29	0
815	315	788	0.4	39.97	22.06	0
567	225	562	0.4	40.04	1.51	0
1654	301	751	0.401	40.08	27.58	0
217	224	558	0.401	40.14	3.25	0
148	331	824	0.402	40.17	4.58	0
1608	335	834	0.402	40.17	22.02	1
1897	356	886	0.402	40.18	0.86	0
947	305	759	0.402	40.18	10.54	1
1435	331	822	0.403	40.27	32.19	0
340	227	563	0.403	40.32	13.74	0
281	377	935	0.403	40.32	22.55	1
1343	400	990	0.404	40.4	2.01	0
1548	274	678	0.404	40.41	17.83	0
40	331	818	0.405	40.46	5.15	0
843	382	944	0.405	40.47	8.57	0
1119	380	939	0.405	40.47	17.92	1
1487	220	543	0.405	40.52	20.49	0
550	206	508	0.406	40.55	24.91	0
1826	378	931	0.406	40.6	4.7	0
1091	329	810	0.406	40.62	1.28	0
837	405	997	0.406	40.62	27.31	1
1685	319	785	0.406	40.64	1.36	0
998	406	998	0.407	40.68	14.49	0
103	340	835	0.407	40.72	15.74	0
10	217	532	0.408	40.79	26.05	0
696	256	627	0.408	40.83	8.74	0
1021	253	618	0.409	40.94	42.19	0
876	251	612	0.41	41.01	23.26	0
162	283	690	0.41	41.01	23.55	1
1691	352	858	0.41	41.03	22.65	0
1493	375	914	0.41	41.03	22.76	1
212	319	777	0.411	41.06	3.54	0
1172	352	857	0.411	41.07	4.39	0
1422	335	815	0.411	41.1	9.64	0
117	281	683	0.411	41.14	37.1	0
861	391	948	0.412	41.24	9.22	0
1372	215	521	0.413	41.27	4.29	0
555	354	857	0.413	41.31	6.32	0
1278	374	905	0.413	41.33	3.88	0
1640	389	941	0.413	41.34	3.81	0
77	361	873	0.414	41.35	1.68	0
1393	356	861	0.413	41.35	5.06	1
1895	311	752	0.414	41.36	11.83	0
621	319	771	0.414	41.37	31.07	0
1541	401	969	0.414	41.38	49.33	0
1841	326	787	0.414	41.42	1.86	0
176	280	676	0.414	41.42	12.71	1
826	363	876	0.414	41.44	14.95	0
360	349	841	0.415	41.5	3.55	0
534	208	501	0.415	41.52	28.62	0
1810	355	855	0.415	41.52	45.64	1
566	393	946	0.415	41.54	22.12	0
603	394	948	0.416	41.56	28.1	0
1750	353	849	0.416	41.58	20.52	0
1004	398	957	0.416	41.59	22.16	0
1350	280	673	0.416	41.6	4.68	0
325	261	627	0.416	41.63	5.85	0
1270	294	706	0.416	41.64	12.23	0
196	324	778	0.416	41.65	26.28	0
83	218	523	0.417	41.68	4.68	0
1207	368	883	0.417	41.68	33.96	1
74	296	710	0.417	41.69	23.61	0
1460	317	760	0.417	41.71	6.32	0
574	344	824	0.417	41.75	44.18	0
1210	335	802	0.418	41.77	15.82	0
1775	305	730	0.418	41.78	5.03	0
137	225	538	0.418	41.82	2.37	0
1609	317	757	0.419	41.88	1.71	0
1348	405	967	0.419	41.88	21	1
879	380	907	0.419	41.9	4.96	0
1090	256	611	0.419	41.9	20.41	1
920	411	981	0.419	41.9	32.25	1
803	298	711	0.419	41.91	3.09	0
1843	345	822	0.42	41.97	7.72	0
1646	212	505	0.42	41.98	25.46	0
1684	362	862	0.42	42	4.6	0
481	326	776	0.42	42.01	20.14	0
223	336	799	0.421	42.05	7.47	0
1006	325	772	0.421	42.1	1.64	0
1523	344	817	0.421	42.11	25.78	0
271	355	842	0.422	42.16	5.11	0
883	266	631	0.422	42.16	17.56	1
477	296	702	0.422	42.17	9.51	0
470	389	922	0.422	42.19	1.8	0
46	410	971	0.422	42.22	22.44	0
983	407	963	0.423	42.26	4.96	0
1238	328	776	0.423	42.27	21.95	0
1100	337	797	0.423	42.28	8.45	0
731	269	636	0.423	42.3	9.56	0
215	392	926	0.423	42.33	6.72	0
1764	287	676	0.425	42.46	22.16	0
577	378	890	0.425	42.47	4.06	0
686	344	808	0.426	42.57	20.13	0
1065	382	896	0.426	42.63	30.52	0
1799	414	970	0.427	42.68	13.91	0
1113	371	869	0.427	42.69	10.24	0
1807	262	613	0.427	42.74	1.5	0
414	413	966	0.428	42.75	18.27	0
896	422	987	0.428	42.76	11.26	0
1131	419	980	0.428	42.76	26.22	1
872	343	802	0.428	42.77	6.28	0
783	346	807	0.429	42.87	15.5	0
1193	398	927	0.429	42.93	24.25	0
734	383	892	0.429	42.94	15.03	0
569	373	867	0.43	43.02	0.57	0
605	346	804	0.43	43.03	10.03	0
76	287	667	0.43	43.03	16.44	1
1111	329	764	0.431	43.06	7.53	0
758	374	868	0.431	43.09	9.41	0
1073	356	825	0.432	43.15	28.88	0
525	281	651	0.432	43.16	14.86	0
38	374	866	0.432	43.19	23.3	0
457	249	576	0.432	43.23	12.31	0
1746	366	846	0.433	43.26	4.09	0
1840	332	767	0.433	43.29	22.63	0
1641	407	939	0.433	43.34	2	0
587	283	653	0.433	43.34	16.64	1
1731	326	752	0.434	43.35	18.05	0
1857	258	595	0.434	43.36	25.13	0
216	358	825	0.434	43.39	1.06	0
406	349	803	0.435	43.46	12.6	0
1215	403	927	0.435	43.47	1.58	0
1095	406	933	0.435	43.52	17.09	0
723	317	728	0.435	43.54	24.76	0
589	319	732	0.436	43.58	3.9	0
98	241	553	0.436	43.58	5.75	1
568	313	718	0.436	43.59	3.56	0
973	425	975	0.436	43.59	15.41	1
52	368	843	0.437	43.65	13.9	0
323	357	817	0.437	43.7	34.93	0
1005	318	727	0.437	43.74	2.15	0
1584	322	736	0.438	43.75	5.49	0
1844	435	993	0.438	43.81	1.84	0
1619	251	572	0.439	43.88	6.71	0
336	270	615	0.439	43.9	25.27	0
1276	287	653	0.44	43.95	15.41	0
469	304	691	0.44	43.99	11.65	0
1507	370	841	0.44	44	9.22	0
1488	349	793	0.44	44.01	3.49	0
1047	324	736	0.44	44.02	20.79	0
1043	319	724	0.441	44.06	4.05	0
1165	406	921	0.441	44.08	17.99	0
1795	400	907	0.441	44.1	18.9	0
227	243	551	0.441	44.1	19.2	1
981	378	857	0.441	44.11	28.38	0
455	276	624	0.442	44.23	22.84	0
822	411	929	0.442	44.24	11.94	0
1806	238	538	0.442	44.24	18.87	1
129	408	922	0.443	44.25	1.46	0
1330	347	783	0.443	44.32	36.62	0
167	230	517	0.445	44.49	4.28	0
1261	234	526	0.445	44.49	10.69	1
1599	314	705	0.445	44.54	13.82	0
747	402	902	0.446	44.57	8.13	0
1010	374	839	0.446	44.58	12.45	0
211	400	897	0.446	44.59	0.01	0
210	310	695	0.446	44.6	27.86	0
1477	445	997	0.446	44.63	9.03	0
1134	445	997	0.446	44.63	10.08	1
144	399	894	0.446	44.63	31	1
337	424	949	0.447	44.68	0.78	0
835	419	936	0.448	44.76	3.2	0
562	357	797	0.448	44.79	8.49	0
63	404	902	0.448	44.79	19.69	1
725	316	704	0.449	44.89	23.7	0
1243	298	663	0.449	44.95	15.15	0
1739	401	892	0.45	44.96	9.93	0
352	449	998	0.45	44.99	16.96	0
545	313	695	0.45	45.04	4.08	0
1214	237	526	0.451	45.06	28.2	0
241	366	812	0.451	45.07	30.12	0
403	336	745	0.451	45.1	6.35	0
289	264	585	0.451	45.13	24.96	0
768	404	895	0.451	45.14	34.76	0
1639	382	846	0.452	45.15	24.34	0
1550	342	757	0.452	45.18	25.57	0
1277	358	792	0.452	45.2	1.25	0
692	388	858	0.452	45.22	17.96	0
483	244	539	0.453	45.27	8.96	0
1825	443	978	0.453	45.3	10.22	0
1499	333	734	0.454	45.37	1.14	0
273	246	542	0.454	45.39	18.48	0
1663	287	632	0.454	45.41	27.46	0
651	412	907	0.454	45.42	6.15	0
1196	426	938	0.454	45.42	19.14	1
282	276	607	0.455	45.47	5.15	0
1765	299	657	0.455	45.51	3.05	0
329	405	890	0.455	45.51	34.97	1
1371	420	922	0.456	45.55	10.66	0
1052	238	522	0.456	45.59	30.84	0
500	334	732	0.456	45.63	23.97	0
984	264	578	0.457	45.67	3.41	0
1083	371	812	0.457	45.69	24.4	0
128	261	571	0.457	45.71	12.38	0
809	433	947	0.457	45.72	26.19	0
220	306	669	0.457	45.74	2.01	0
1358	432	943	0.458	45.81	10.73	0
1779	327	713	0.459	45.86	9.36	0
291	284	619	0.459	45.88	0.72	0
237	273	595	0.459	45.88	22.19	1
442	367	799	0.459	45.93	16.51	0
923	412	897	0.459	45.93	33.46	1
694	435	945	0.46	46.03	11.34	0
990	313	680	0.46	46.03	17.54	1
71	285	619	0.46	46.04	10.26	0
1600	339	735	0.461	46.12	1.58	0
81	321	696	0.461	46.12	17.53	1
1140	244	529	0.461	46.12	34.35	1
507	280	607	0.461	46.13	10.95	0
354	400	867	0.461	46.14	6.28	0
1249	433	938	0.462	46.16	1.31	0
381	446	966	0.462	46.17	27.32	0
69	271	587	0.462	46.17	32.47	1
1666	399	864	0.462	46.18	20.31	0
1511	364	788	0.462	46.19	13.94	0
1832	377	816	0.462	46.2	14.6	0
315	375	811	0.462	46.24	15.36	0
344	296	640	0.463	46.25	26.22	0
429	346	748	0.463	46.26	33.4	0
1432	318	687	0.463	46.29	2.21	0
1349	424	916	0.463	46.29	4.41	1
1680	457	987	0.463	46.3	13.34	0
1203	299	645	0.464	46.36	21.83	0
1538	383	826	0.464	46.37	6.45	0
1392	342	737	0.464	46.4	5.57	0
1412	428	922	0.464	46.42	23.88	0
283	384	827	0.464	46.43	0.96	0
1410	438	943	0.464	46.45	28.8	0
419	381	820	0.465	46.46	22.07	0
1498	400	860	0.465	46.51	22.76	0
494	416	894	0.465	46.53	22.49	0
400	403	866	0.465	46.54	10.43	0
1159	428	919	0.466	46.57	25.37	0
726	354	760	0.466	46.58	1.69	0
1683	246	528	0.466	46.59	25.65	0
290	343	736	0.466	46.6	1.48	0
885	322	691	0.466	46.6	7	1
1297	296	635	0.466	46.61	10.18	0
1631	434	931	0.466	46.62	0.36	0
626	415	890	0.466	46.63	1.82	0
1664	348	746	0.466	46.65	1.24	0
398	461	988	0.467	46.66	9.05	0
242	357	765	0.467	46.67	1.59	0
741	463	991	0.467	46.72	32.98	0
445	288	616	0.468	46.75	17.21	0
1008	365	780	0.468	46.79	14.46	0
671	264	564	0.468	46.81	5.72	0
1774	433	925	0.468	46.81	10.32	1
878	268	572	0.469	46.85	16.73	0
1414	262	559	0.469	46.87	30.12	0
489	405	864	0.469	46.88	2.95	0
599	323	689	0.469	46.88	5.72	1
1715	369	787	0.469	46.89	31.26	0
959	260	554	0.469	46.93	20.29	0
1630	459	977	0.47	46.98	14.21	0
1449	362	770	0.47	47.01	7.53	0
1754	385	819	0.47	47.01	29.65	1
728	452	961	0.47	47.03	2.12	0
1379	470	999	0.47	47.05	23.35	0
669	271	576	0.47	47.05	23.92	1
1336	272	578	0.471	47.06	34.89	0
505	269	571	0.471	47.11	25.94	0
1419	343	728	0.471	47.12	20.22	0
880	460	976	0.471	47.13	5.23	0
846	364	771	0.472	47.21	11.44	0
1389	372	788	0.472	47.21	26.75	1
982	383	811	0.472	47.23	3.12	0
1362	312	660	0.473	47.27	21.98	0
522	435	920	0.473	47.28	18.87	0
346	365	772	0.473	47.28	30.39	1
1480	453	958	0.473	47.29	11.11	0
945	288	609	0.473	47.29	24.78	1
108	324	685	0.473	47.3	1.28	0
596	442	934	0.473	47.32	19.25	0
1248	366	771	0.475	47.47	5.31	0
1743	328	691	0.475	47.47	14.55	1
324	452	952	0.475	47.48	3.78	0
588	358	754	0.475	47.48	4.14	1
709	308	648	0.475	47.53	3.06	0
1873	388	816	0.475	47.55	3.31	0
151	311	654	0.476	47.55	12.33	1
1616	379	796	0.476	47.61	23.31	0
612	391	821	0.476	47.62	7.68	0
648	336	705	0.477	47.66	18.93	0
7	468	982	0.477	47.66	27.4	1
1748	312	654	0.477	47.71	13.5	0
1145	431	903	0.477	47.73	17.64	0
1227	441	924	0.477	47.73	18.29	1
219	308	645	0.478	47.75	28.21	0
1870	286	599	0.477	47.75	31.45	1
57	383	800	0.479	47.88	3.57	0
109	251	524	0.479	47.9	0.6	0
284	401	837	0.479	47.91	1.48	0
1866	470	981	0.479	47.91	2.09	1
834	353	736	0.48	47.96	3.16	0
1403	384	800	0.48	48	27.74	0
1633	291	606	0.48	48.02	30.88	0
1459	280	583	0.48	48.03	28.46	0
1045	476	990	0.481	48.08	9.83	0
1042	446	927	0.481	48.11	43.49	0
615	324	673	0.481	48.14	34.65	0
1792	452	937	0.482	48.24	12.41	0
1760	410	850	0.482	48.24	27.66	1
847	458	949	0.483	48.26	1.05	0
1552	278	576	0.483	48.26	3.64	1
1135	341	706	0.483	48.3	3.67	0
625	391	807	0.485	48.45	4.92	0
1431	259	534	0.485	48.5	16.38	0
673	260	536	0.485	48.51	26.1	0
738	471	970	0.486	48.56	8.83	0
868	286	589	0.486	48.56	11.67	1
107	444	914	0.486	48.58	11.09	0
1577	429	883	0.486	48.58	15.85	1
508	397	815	0.487	48.71	2.58	0
385	444	911	0.487	48.74	13.29	0
1868	255	523	0.488	48.76	13.94	0
166	396	812	0.488	48.77	16.66	0
169	403	826	0.488	48.79	15.26	0
1804	256	524	0.489	48.85	7.45	0
664	482	986	0.489	48.88	32.67	0
1561	307	628	0.489	48.89	2.32	0
523	337	689	0.489	48.91	1.63	0
718	270	552	0.489	48.91	1.68	1
382	294	601	0.489	48.92	2.75	0
949	478	977	0.489	48.93	12.22	0
635	312	637	0.49	48.98	3.17	0
1257	456	931	0.49	48.98	23.95	1
871	283	577	0.49	49.05	15.68	0
214	389	793	0.491	49.05	17.19	1
304	367	748	0.491	49.06	31.31	0
1197	329	670	0.491	49.1	3.69	0
544	415	845	0.491	49.11	18.07	0
306	451	918	0.491	49.13	11.84	0
1462	488	993	0.491	49.14	24.09	0
727	350	712	0.492	49.16	2.58	0
745	301	612	0.492	49.18	0.24	0
646	473	961	0.492	49.22	11.5	0
1583	322	654	0.492	49.24	17.79	0
1279	341	692	0.493	49.28	7.95	0
1420	255	517	0.493	49.32	2.21	0
1026	292	592	0.493	49.32	2.87	1
862	439	890	0.493	49.33	8.08	0
1324	404	819	0.493	49.33	33.8	1
563	287	581	0.494	49.4	4.6	0
744	469	949	0.494	49.42	10.97	0
665	470	950	0.495	49.47	0.59	0
703	483	975	0.495	49.54	17.83	0
695	346	698	0.496	49.57	3.54	0
31	378	762	0.496	49.61	7.79	0
1842	486	978	0.497	49.69	8.27	0
251	418	841	0.497	49.7	17.33	0
1205	421	847	0.497	49.7	26.45	1
1509	445	895	0.497	49.72	22.04	0
1332	293	589	0.497	49.75	32.56	0
12	465	934	0.498	49.79	23.06	0
252	401	805	0.498	49.81	0.11	0
899	282	566	0.498	49.82	33.16	0
1236	447	897	0.498	49.83	20.24	0
488	437	877	0.498	49.83	23.52	1
408	303	608	0.498	49.84	16.59	0
361	328	658	0.498	49.85	8.35	0
1465	360	722	0.499	49.86	14.54	0
1316	416	834	0.499	49.88	26.24	0
267	474	950	0.499	49.89	0.11	0
1802	313	627	0.499	49.92	19.45	0
201	363	727	0.499	49.93	6.01	0
732	475	950	0.5	50	7.7	0
1865	478	956	0.5	50	12.05	1
266	405	810	0.5	50	20.27	1
369	335	670	0.5	50	31.31	1
452	462	923	0.501	50.05	36.36	0
49	377	753	0.501	50.07	29.39	0
1301	369	737	0.501	50.07	31.14	1
1647	366	730	0.501	50.14	8.16	0
262	367	732	0.501	50.14	13.39	1
526	343	683	0.502	50.22	7.06	0
78	497	989	0.503	50.25	8.9	0
496	434	863	0.503	50.29	22.82	0
1146	478	949	0.504	50.37	2.64	0
1374	445	883	0.504	50.4	25.38	0
1571	365	724	0.504	50.41	11.02	0
1573	369	732	0.504	50.41	12.64	1
860	273	541	0.505	50.46	39.72	0
1721	359	711	0.505	50.49	0.22	0
180	461	913	0.505	50.49	39.05	1
1116	283	560	0.505	50.54	21.3	0
1143	266	526	0.506	50.57	8.68	0
1036	441	872	0.506	50.57	9.55	1
3	306	605	0.506	50.58	37.81	0
1618	385	761	0.506	50.59	0.86	0
1110	429	848	0.506	50.59	21.27	1
708	387	765	0.506	50.59	31.09	1
717	340	672	0.506	50.6	15.07	0
1587	496	980	0.506	50.61	22.28	0
1695	495	978	0.506	50.61	32.54	1
1788	297	586	0.507	50.68	33.61	0
1720	428	844	0.507	50.71	15.84	0
946	279	550	0.507	50.73	3.44	0
33	300	591	0.508	50.76	37.28	0
1887	379	746	0.508	50.8	33.13	0
1872	473	930	0.509	50.86	3.84	0
392	467	918	0.509	50.87	11.63	0
1621	429	842	0.51	50.95	11.74	0
1705	403	791	0.509	50.95	21.16	1
1386	498	976	0.51	51.02	31.55	0
1610	467	915	0.51	51.04	9.16	0
811	441	864	0.51	51.04	17.77	1
372	459	899	0.511	51.06	23.53	0
309	447	875	0.511	51.09	37.14	0
1595	419	820	0.511	51.1	10.64	0
1093	418	818	0.511	51.1	11.34	1
833	295	577	0.511	51.13	26.07	0
342	407	796	0.511	51.13	30.87	1
1132	458	895	0.512	51.17	8.42	0
711	368	719	0.512	51.18	16.3	0
1544	283	553	0.512	51.18	20.07	1
519	282	551	0.512	51.18	37.53	1
1560	277	541	0.512	51.2	12.99	0
1505	393	767	0.512	51.24	39	0
538	404	788	0.513	51.27	25.96	0
160	499	973	0.513	51.28	12.5	0
93	365	711	0.513	51.34	37.55	0
423	423	823	0.514	51.4	14.24	0
56	428	832	0.514	51.44	16.15	0
961	339	659	0.514	51.44	19.04	1
1617	284	552	0.514	51.45	3.84	0
1768	438	850	0.515	51.53	23.61	0
1070	328	636	0.516	51.57	18.07	0
476	478	925	0.517	51.68	15.81	0
459	351	679	0.517	51.69	12.36	0
818	260	503	0.517	51.69	31.88	1
1199	446	862	0.517	51.74	8.35	0
547	484	935	0.518	51.76	16.58	0
1689	323	624	0.518	51.76	20.84	1
690	400	772	0.518	51.81	13.5	0
1551	395	761	0.519	51.91	6.73	0
687	282	543	0.519	51.93	9.36	0
1221	280	539	0.519	51.95	10.68	0
1391	342	658	0.52	51.98	35.9	0
153	342	658	0.52	51.98	39.44	1
1613	372	715	0.52	52.03	36.38	0
630	441	847	0.521	52.07	5.8	0
94	326	626	0.521	52.08	0.74	0
634	436	836	0.522	52.15	12.32	0
1305	449	861	0.521	52.15	12.72	1
1025	440	843	0.522	52.19	34.74	0
492	423	810	0.522	52.22	13.22	0
145	385	737	0.522	52.24	7.61	0
1879	439	840	0.523	52.26	5.46	0
1812	356	681	0.523	52.28	19.01	0
1318	303	579	0.523	52.33	30.86	0
1592	497	949	0.524	52.37	35.06	0
353	304	580	0.524	52.41	7.42	0
1625	446	851	0.524	52.41	19.24	1
1000	489	933	0.524	52.41	20.18	1
72	368	702	0.524	52.42	6.38	0
1545	440	839	0.524	52.44	1.27	0
751	487	928	0.525	52.48	12.63	0
307	336	640	0.525	52.5	3.37	0
670	489	931	0.525	52.52	5.48	0
583	437	832	0.525	52.52	12.67	1
264	269	512	0.525	52.54	15.97	0
598	334	635	0.526	52.6	18.63	0
243	368	699	0.526	52.65	5.98	0
19	267	507	0.527	52.66	9.47	0
1776	283	537	0.527	52.7	10.92	0
1247	474	898	0.528	52.78	2.85	0
1310	265	501	0.529	52.89	3.35	0
1112	487	920	0.529	52.93	9.87	0
1862	426	804	0.53	52.99	3.08	0
1322	400	754	0.531	53.05	23.69	0
1475	372	700	0.531	53.14	3.23	0
1604	474	892	0.531	53.14	14.45	1
1894	376	707	0.532	53.18	5.7	0
1454	382	718	0.532	53.2	15.1	0
186	462	868	0.532	53.23	25.75	0
1724	466	875	0.533	53.26	15.37	0
978	332	623	0.533	53.29	24.87	0
89	315	591	0.533	53.3	21.97	0
631	478	896	0.533	53.35	1.28	0
624	317	594	0.534	53.37	31.37	0
461	313	586	0.534	53.41	23.55	0
1284	392	734	0.534	53.41	27.9	1
884	328	612	0.536	53.59	11.44	0
1635	356	664	0.536	53.61	33.72	0
936	324	604	0.536	53.64	13.71	0
1539	444	824	0.539	53.88	7.52	0
1077	365	677	0.539	53.91	20.11	0
1495	404	749	0.539	53.94	0.07	0
501	428	793	0.54	53.97	8.34	0
1494	290	537	0.54	54	12.98	0
1137	304	562	0.541	54.09	22.04	0
1891	496	915	0.542	54.21	35.56	0
1152	450	830	0.542	54.22	27.8	0
639	400	737	0.543	54.27	28.23	0
794	423	778	0.544	54.37	30.88	0
1651	292	537	0.544	54.38	29.77	0
230	320	588	0.544	54.42	19.48	0
1580	288	529	0.544	54.44	29.98	0
434	404	742	0.544	54.45	42.28	0
141	380	697	0.545	54.52	42.81	0
173	295	541	0.545	54.53	18.73	0
253	346	634	0.546	54.57	4.76	0
259	447	819	0.546	54.58	0.05	0
232	396	725	0.546	54.62	22.98	0
258	289	529	0.546	54.63	23.25	0
1871	361	660	0.547	54.7	6.95	0
799	423	773	0.547	54.72	37.39	0
1408	330	603	0.547	54.73	10	0
558	386	704	0.548	54.83	30.7	0
511	295	537	0.549	54.93	28.6	0
801	389	707	0.55	55.02	16.99	0
248	319	579	0.551	55.09	5.32	0
1808	485	878	0.552	55.24	12.5	0
873	494	894	0.553	55.26	12.49	0
1652	438	792	0.553	55.3	0.93	0
316	486	878	0.554	55.35	9.11	0
1517	475	858	0.554	55.36	20.98	0
593	334	603	0.554	55.39	27.72	0
1189	455	821	0.554	55.42	33.29	0
424	487	878	0.555	55.47	4.07	0
456	391	704	0.555	55.54	11.31	0
1246	489	879	0.556	55.63	18.47	0
1252	464	834	0.556	55.64	19.96	0
1228	447	803	0.557	55.67	7.94	0
659	410	736	0.557	55.71	16.94	0
1292	409	734	0.557	55.72	35.63	0
13	445	798	0.558	55.76	5.98	0
514	308	552	0.558	55.8	17.81	0
1108	376	673	0.559	55.87	14.58	0
594	437	782	0.559	55.88	0.49	0
200	438	783	0.559	55.94	34.12	0
628	386	690	0.559	55.94	36.66	1
410	307	548	0.56	56.02	16.84	0
490	497	887	0.56	56.03	9.16	0
1445	330	589	0.56	56.03	10.7	1
931	404	721	0.56	56.03	16.84	1
1859	385	687	0.56	56.04	5.66	0
1861	407	726	0.561	56.06	19.71	0
1800	423	754	0.561	56.1	13.42	0
1309	329	585	0.562	56.24	25.05	0
182	377	670	0.563	56.27	21.67	0
1803	402	714	0.563	56.3	6.38	0
1474	345	612	0.564	56.37	21.37	0
825	384	681	0.564	56.39	23.3	0
830	361	640	0.564	56.41	30.8	0
279	484	857	0.565	56.48	39.75	0
893	330	584	0.565	56.51	42.07	0
996	325	575	0.565	56.52	21.6	0
1357	471	833	0.565	56.54	26.41	0
662	410	725	0.566	56.55	18.58	0
1352	370	654	0.566	56.57	4.98	0
1798	322	569	0.566	56.59	39.06	0
853	308	544	0.566	56.62	16.61	0
439	397	700	0.567	56.71	8.63	0
1892	449	791	0.568	56.76	2.56	0
1713	387	681	0.568	56.83	26.04	0
641	371	652	0.569	56.9	19.51	0
399	499	876	0.57	56.96	10.3	0
1513	380	667	0.57	56.97	27.65	0
1066	449	788	0.57	56.98	14.35	0
506	359	629	0.571	57.07	9.96	0
1785	431	755	0.571	57.09	25.36	0
1593	300	525	0.571	57.14	4.77	0
300	469	818	0.573	57.33	31.36	0
30	458	798	0.574	57.39	1.2	0
737	338	589	0.574	57.39	40.48	1
268	329	573	0.574	57.42	7.52	0
1121	323	562	0.575	57.47	21.57	0
748	372	646	0.576	57.59	13.02	0
1183	316	548	0.577	57.66	18.6	0
1520	334	579	0.577	57.69	10.74	0
1878	299	518	0.577	57.72	32.04	0
1039	332	575	0.577	57.74	33.07	0
1015	475	822	0.578	57.79	15.27	0
629	456	788	0.579	57.87	1.93	0
1044	461	796	0.579	57.91	13.85	0
733	495	854	0.58	57.96	7.96	0
1395	295	509	0.58	57.96	36.99	1
979	405	698	0.58	58.02	4.73	0
524	358	617	0.58	58.02	9.11	1
190	480	827	0.58	58.04	4.79	0
1876	444	764	0.581	58.12	26.38	0
338	369	633	0.583	58.29	13.62	0
1598	485	831	0.584	58.36	26.83	0
1118	484	829	0.584	58.38	22.18	0
909	491	841	0.584	58.38	28.83	1
1479	306	524	0.584	58.4	34.86	0
386	434	743	0.584	58.41	9.67	0
654	403	689	0.585	58.49	30.97	0
350	471	805	0.585	58.51	45.38	0
29	443	756	0.586	58.6	30.63	0
845	471	803	0.587	58.66	28.82	0
178	308	525	0.587	58.67	32.51	0
156	483	823	0.587	58.69	44.12	0
1023	388	660	0.588	58.79	25.89	0
1893	497	844	0.589	58.89	2.12	0
942	367	623	0.589	58.91	28.5	0
1814	363	616	0.589	58.93	43.93	0
123	361	612	0.59	58.99	19.93	0
1289	416	704	0.591	59.09	0.36	0
1142	442	746	0.592	59.25	33.82	0
1588	399	673	0.593	59.29	8.67	0
21	360	607	0.593	59.31	2.28	0
791	413	696	0.593	59.34	11.22	0
1275	371	625	0.594	59.36	22.92	0
903	333	561	0.594	59.36	33.71	1
771	412	694	0.594	59.37	25.95	0
27	442	744	0.594	59.41	34.52	0
1062	461	776	0.594	59.41	35.96	1
1288	393	661	0.595	59.46	0.85	0
706	481	809	0.595	59.46	33.35	1
579	408	686	0.595	59.48	27.62	0
301	385	647	0.595	59.51	2.17	0
139	336	564	0.596	59.57	38.6	0
901	411	690	0.596	59.57	41.99	1
1818	435	730	0.596	59.59	5.99	0
869	483	810	0.596	59.63	11.07	0
1679	461	773	0.596	59.64	37.07	0
607	318	533	0.597	59.66	30.96	0
367	422	707	0.597	59.69	15.46	0
1176	356	596	0.597	59.73	29.03	0
918	369	617	0.598	59.81	28.87	0
1677	456	762	0.598	59.84	0.09	0
1820	488	815	0.599	59.88	4.56	0
115	330	551	0.599	59.89	4.62	0
1676	383	639	0.599	59.94	3.72	0
332	456	760	0.6	60	13.21	0
1312	377	628	0.6	60.03	39.87	0
571	451	751	0.601	60.05	39.15	0
193	415	691	0.601	60.06	44.35	0
1198	399	664	0.601	60.09	10.99	0
184	369	614	0.601	60.1	38.07	0
721	490	815	0.601	60.12	21.18	0
1035	395	657	0.601	60.12	42.53	1
1510	439	730	0.601	60.14	10.42	0
276	304	505	0.602	60.2	15.65	0
1280	345	573	0.602	60.21	10.93	0
1037	399	662	0.603	60.27	9.7	0
1874	355	589	0.603	60.27	12.72	1
1287	360	597	0.603	60.3	11.58	0
1466	461	764	0.603	60.34	10.48	0
420	428	709	0.604	60.37	13.9	0
247	380	629	0.604	60.41	46.52	0
1771	304	503	0.604	60.44	36.15	0
786	339	560	0.605	60.54	9.67	0
1369	429	708	0.606	60.59	6.81	0
1528	377	622	0.606	60.61	32.54	0
1791	433	714	0.606	60.64	32.07	0
645	456	751	0.607	60.72	21.76	0
202	480	790	0.608	60.76	10.83	0
517	353	581	0.608	60.76	25.87	1
1080	350	576	0.608	60.76	40.89	1
1605	343	564	0.608	60.82	7.68	0
1128	455	748	0.608	60.83	29.29	0
170	495	812	0.61	60.96	12.17	0
305	353	579	0.61	60.97	11.9	0
1106	500	820	0.61	60.98	25.02	0
1233	441	723	0.61	61	49.44	0
1486	363	595	0.61	61.01	44.91	0
1180	393	643	0.611	61.12	23.37	0
1086	486	794	0.612	61.21	3.53	0
1007	490	800	0.613	61.25	19.15	0
1730	307	500	0.614	61.4	28.73	0
1570	403	656	0.614	61.43	42.81	0
778	406	660	0.615	61.52	34.7	0
699	419	681	0.615	61.53	5.24	0
1351	474	770	0.616	61.56	19.95	0
20	356	578	0.616	61.59	8.93	0
1398	371	602	0.616	61.63	16.66	0
1057	333	540	0.617	61.67	39.1	0
1858	356	577	0.617	61.7	18.34	0
1594	326	528	0.617	61.74	4.6	0
951	389	630	0.617	61.75	34.39	0
370	386	625	0.618	61.76	11.76	0
1727	448	723	0.62	61.96	40.44	0
814	348	561	0.62	62.03	19.29	0
1749	449	723	0.621	62.1	14.4	0
764	487	784	0.621	62.12	23.65	0
18	489	787	0.621	62.13	2.78	0
393	381	612	0.623	62.25	11.38	0
502	319	512	0.623	62.3	8.33	0
1089	410	658	0.623	62.31	50.61	0
1092	404	647	0.624	62.44	21.82	0
391	410	656	0.625	62.5	39.07	0
1365	423	676	0.626	62.57	11.45	0
1220	434	693	0.626	62.63	35.89	0
118	431	688	0.626	62.65	21.5	0
1620	499	796	0.627	62.69	18.81	0
1668	417	664	0.628	62.8	28.91	0
189	399	635	0.628	62.83	35.97	0
1347	498	792	0.629	62.88	46.83	0
1772	379	602	0.63	62.96	2.52	0
1167	495	786	0.63	62.98	2.56	0
1821	337	535	0.63	62.99	3.11	0
1355	432	685	0.631	63.07	46.08	0
1805	479	759	0.631	63.11	14.25	0
691	405	641	0.632	63.18	11.37	0
1428	401	634	0.632	63.25	39.75	0
912	412	651	0.633	63.29	28.75	0
226	383	605	0.633	63.31	7.09	0
479	396	625	0.634	63.36	47.94	0
293	368	580	0.634	63.45	25.69	0
1124	472	743	0.635	63.53	40.43	0
989	328	516	0.636	63.57	35.94	0
877	323	508	0.636	63.58	22.57	0
655	318	500	0.636	63.6	5.11	0
228	479	753	0.636	63.61	19.51	0
1675	459	721	0.637	63.66	25.98	0
1155	486	763	0.637	63.7	41.95	0
1075	353	554	0.637	63.72	45.38	0
1003	320	502	0.637	63.75	5.13	0
914	445	698	0.638	63.75	25.72	1
938	373	585	0.638	63.76	36.63	0
297	405	635	0.638	63.78	8.9	0
1447	345	538	0.641	64.13	42.29	0
1643	480	748	0.642	64.17	42.41	0
1237	420	654	0.642	64.22	14.39	0
907	460	716	0.642	64.25	36.13	0
374	445	692	0.643	64.31	28.38	0
963	470	730	0.644	64.38	10.7	0
1819	366	568	0.644	64.44	4.85	0
112	401	622	0.645	64.47	7.84	0
114	369	572	0.645	64.51	37.36	0
1195	377	584	0.646	64.55	25.73	0
681	476	737	0.646	64.59	16.76	0
1828	464	718	0.646	64.62	32.31	0
1063	405	626	0.647	64.7	5.29	0
870	378	584	0.647	64.73	5.1	0
14	334	516	0.647	64.73	8.96	1
1407	389	601	0.647	64.73	27.01	1
1085	415	641	0.647	64.74	6.12	0
1264	383	591	0.648	64.81	50.43	0
1169	444	685	0.648	64.82	35.78	0
1304	397	612	0.649	64.87	30.3	0
1430	412	635	0.649	64.88	48.92	0
17	468	721	0.649	64.91	46.61	0
135	435	670	0.649	64.93	45.95	0
1883	417	641	0.651	65.05	28.8	0
890	449	690	0.651	65.07	45.54	0
310	327	502	0.651	65.14	14.05	0
124	329	505	0.651	65.15	6.16	0
73	399	611	0.653	65.3	12.88	0
438	413	632	0.653	65.35	32.41	0
1144	419	641	0.654	65.37	14.8	0
1614	374	572	0.654	65.38	13.36	0
549	489	747	0.655	65.46	45.92	0
313	329	502	0.655	65.54	5.01	0
1166	426	650	0.655	65.54	21.46	1
1817	341	520	0.656	65.58	36.14	0
575	364	555	0.656	65.59	23.84	0
422	363	553	0.656	65.64	30.9	0
1059	486	740	0.657	65.68	44.94	0
857	459	697	0.659	65.85	40.23	0
1226	443	671	0.66	66.02	45.02	0
1656	480	726	0.661	66.12	31.97	0
1163	389	588	0.662	66.16	20.55	0
735	452	683	0.662	66.18	23.24	0
926	434	654	0.664	66.36	50.84	0
1665	496	746	0.665	66.49	19.84	0
37	490	737	0.665	66.49	40.6	1
666	497	747	0.665	66.53	17.06	0
1719	380	571	0.665	66.55	27.18	0
595	462	694	0.666	66.57	10.69	0
891	494	742	0.666	66.58	1.5	0
1496	405	607	0.667	66.72	12.78	0
1444	397	595	0.667	66.72	45.77	1
1757	337	505	0.667	66.73	55.6	0
698	456	683	0.668	66.76	35.14	0
1627	399	595	0.671	67.06	54.76	0
1097	490	730	0.671	67.12	47.12	0
958	365	543	0.672	67.22	54.99	0
1040	351	522	0.672	67.24	9.5	0
774	445	661	0.673	67.32	51.51	0
120	476	707	0.673	67.33	28.48	0
935	460	683	0.673	67.35	39.28	0
702	446	662	0.674	67.37	14.87	0
1368	428	635	0.674	67.4	45.34	0
475	496	735	0.675	67.48	31.28	0
710	467	692	0.675	67.49	19.95	0
1766	395	585	0.675	67.52	22.01	0
552	454	672	0.676	67.56	53.72	0
484	448	663	0.676	67.57	22.3	0
780	463	685	0.676	67.59	32.96	0
1701	392	580	0.676	67.59	50.18	1
239	476	704	0.676	67.61	31.35	0
1653	385	569	0.677	67.66	12.36	0
509	341	504	0.677	67.66	18.95	1
204	366	540	0.678	67.78	55.53	0
1147	494	728	0.679	67.86	17.49	0
1500	435	641	0.679	67.86	22.49	1
416	489	720	0.679	67.92	45.92	0
58	375	552	0.679	67.93	20.06	0
836	377	555	0.679	67.93	23.16	1
5	348	512	0.68	67.97	47.26	0
449	488	717	0.681	68.06	34.23	0
236	354	520	0.681	68.08	47.87	0
637	490	719	0.682	68.15	33.32	0
205	497	729	0.682	68.18	0.4	0
1202	388	569	0.682	68.19	34.11	0
1262	353	517	0.683	68.28	23.79	0
96	407	596	0.683	68.29	32.13	0
85	439	642	0.684	68.38	16.95	0
1519	364	532	0.684	68.42	0.52	0
1856	363	530	0.685	68.49	32.85	0
1628	463	674	0.687	68.69	1.64	0
1012	403	586	0.688	68.77	50.95	0
1002	489	710	0.689	68.87	42.98	0
1313	372	540	0.689	68.89	8.86	0
1518	495	718	0.689	68.94	13.58	0
1852	491	711	0.691	69.06	19.81	0
335	487	704	0.692	69.18	44.5	0
1361	491	709	0.693	69.25	44.38	0
1751	397	573	0.693	69.28	27.71	0
207	419	603	0.695	69.49	50.56	0
1638	401	577	0.695	69.5	54.31	0
1173	456	655	0.696	69.62	28.54	0
684	415	596	0.696	69.63	51.17	0
1725	398	571	0.697	69.7	16.45	0
1235	480	685	0.701	70.07	52.28	0
785	483	688	0.702	70.2	15.05	0
265	449	639	0.703	70.27	17.73	0
225	359	510	0.704	70.39	44.27	0
1378	359	510	0.704	70.39	52.97	1
1107	453	643	0.705	70.45	9.48	0
312	460	652	0.706	70.55	58.1	0
790	465	659	0.706	70.56	41.82	0
1084	450	635	0.709	70.87	25.18	0
1716	414	583	0.71	71.01	24.13	0
597	463	650	0.712	71.23	23.91	0
739	362	508	0.713	71.26	22.7	0
1737	367	514	0.714	71.4	41.97	0
1623	438	613	0.715	71.45	48.08	0
1286	427	594	0.719	71.89	52.82	0
601	426	592	0.72	71.96	33.93	0
1072	492	683	0.72	72.04	49.6	0
1704	499	692	0.721	72.11	54.25	0
993	429	594	0.722	72.22	7.74	0
111	397	549	0.723	72.31	51.92	0
1564	384	530	0.725	72.45	48.89	0
1434	484	668	0.725	72.46	4.65	0
209	479	661	0.725	72.47	37.36	0
980	469	647	0.725	72.49	14.47	0
658	417	574	0.726	72.65	50.99	0
296	399	549	0.727	72.68	52.95	0
759	498	684	0.728	72.81	29.72	0
590	394	541	0.728	72.83	29.25	0
930	462	634	0.729	72.87	51.96	0
788	427	586	0.729	72.87	56.47	1
1014	469	642	0.731	73.05	49.51	0
174	490	670	0.731	73.13	18.61	0
1064	387	529	0.732	73.16	8.46	0
331	440	601	0.732	73.21	48.08	0
852	476	650	0.732	73.23	48.23	0
1129	448	611	0.733	73.32	12.49	0
487	388	529	0.733	73.35	35.56	0
1744	457	622	0.735	73.47	26.01	0
380	488	664	0.735	73.49	56.02	0
1848	476	646	0.737	73.68	4.5	0
1558	477	647	0.737	73.72	58.19	0
968	473	641	0.738	73.79	35.9	0
1388	389	526	0.74	73.95	52.5	0
1364	419	566	0.74	74.03	44.91	0
919	479	646	0.741	74.15	14.34	0
1440	462	620	0.745	74.52	56.91	0
855	403	539	0.748	74.77	41.09	0
1060	392	524	0.748	74.81	9.13	0
1401	392	524	0.748	74.81	53.85	1
649	394	525	0.75	75.05	27.39	0
962	437	582	0.751	75.09	23.64	0
366	496	660	0.752	75.15	50.01	0
1409	462	614	0.752	75.24	20.52	0
965	389	517	0.752	75.24	44	1
762	457	605	0.755	75.54	60.07	0
1206	419	554	0.756	75.63	25.93	0
143	388	513	0.756	75.63	54.9	1
1016	469	619	0.758	75.77	17.98	0
1860	466	615	0.758	75.77	19.73	1
1373	441	582	0.758	75.77	34.51	1
275	402	530	0.758	75.85	40.72	0
1845	443	584	0.759	75.86	32.05	0
1315	475	624	0.761	76.12	1.62	0
1136	469	616	0.761	76.14	27.84	0
1204	412	541	0.762	76.16	29.8	0
91	400	524	0.763	76.34	53.7	0
1514	491	643	0.764	76.36	19.39	0
1051	412	539	0.764	76.44	43.35	0
1436	446	583	0.765	76.5	36.23	0
1019	487	636	0.766	76.57	55.28	0
1376	498	649	0.767	76.73	54.81	0
1484	449	585	0.768	76.75	13.46	0
254	434	565	0.768	76.81	22.24	0
460	491	638	0.77	76.96	25.27	0
1033	397	515	0.771	77.09	42.5	0
1433	485	629	0.771	77.11	30.82	0
953	492	637	0.772	77.24	51.08	0
531	425	549	0.774	77.41	61.77	0
497	400	516	0.775	77.52	27.23	0
171	415	535	0.776	77.57	16.61	0
1102	466	600	0.777	77.67	50.81	0
1314	482	620	0.777	77.74	8.85	0
520	481	618	0.778	77.83	26.65	0
181	470	603	0.779	77.94	27.45	0
64	499	640	0.78	77.97	33.18	0
995	475	608	0.781	78.13	43.36	0
1847	491	628	0.782	78.18	47.61	0
116	410	524	0.782	78.24	18.35	0
1397	458	585	0.783	78.29	48.1	0
1468	394	503	0.783	78.33	46.8	0
322	445	566	0.786	78.62	40.15	0
68	486	618	0.786	78.64	8.58	0
1740	445	564	0.789	78.9	33.95	0
498	420	530	0.792	79.25	1.73	0
428	470	590	0.797	79.66	50.64	0
767	477	597	0.799	79.9	53.96	0
992	459	574	0.8	79.97	59.74	0
512	421	525	0.802	80.19	25.26	0
303	434	540	0.804	80.37	45.86	0
1329	433	535	0.809	80.93	41.66	0
528	411	506	0.812	81.23	60.64	0
1308	465	572	0.813	81.29	67.61	0
813	492	605	0.813	81.32	53.99	0
680	471	579	0.813	81.35	57.54	0
1501	484	589	0.822	82.17	14.31	0
701	426	518	0.822	82.24	47.39	0
644	499	605	0.825	82.48	69.91	0
638	415	503	0.825	82.5	14.35	0
753	446	539	0.827	82.75	58.66	0
614	433	523	0.828	82.79	43.87	0
1020	473	569	0.831	83.13	6.56	0
1659	455	546	0.833	83.33	47.05	0
819	473	564	0.839	83.87	32.18	0
1886	439	523	0.839	83.94	53.93	0
1491	497	591	0.841	84.09	0.45	0
1338	473	562	0.842	84.16	54.07	0
881	452	535	0.845	84.49	37.35	0
1490	454	537	0.845	84.54	57.39	0
404	425	502	0.847	84.66	39.56	0
1	460	542	0.849	84.87		0
529	436	513	0.85	84.99	3.76	0
784	474	556	0.853	85.25	42.38	0
770	430	504	0.853	85.32	54.89	0
84	477	559	0.853	85.33	43.65	0
557	455	532	0.855	85.53	51.8	0
573	458	533	0.859	85.93	70.22	0
823	457	531	0.861	86.06	41.82	0
376	446	517	0.863	86.27	51.95	0
516	434	501	0.866	86.63	61.75	0
1162	476	549	0.867	86.7	51.39	0
197	476	548	0.869	86.86	45.22	0
1567	482	554	0.87	87	52.93	0
1809	482	553	0.872	87.16	31.92	0
67	464	532	0.872	87.22	52.69	0
308	457	518	0.882	88.22	35.72	0
1881	453	513	0.883	88.3	67.96	0
1851	455	512	0.889	88.87	76.99	0
92	496	558	0.889	88.89	12.55	0
1837	468	525	0.891	89.14	68.66	0
1366	487	545	0.894	89.36	26.78	0
1890	456	508	0.898	89.76	61.39	0
1483	479	531	0.902	90.21	51.48	0
1540	469	517	0.907	90.72	36.83	0
1068	498	545	0.914	91.38	75.3	0
1041	458	500	0.916	91.6	24.36	0
1406	477	520	0.917	91.73	61.97	0
1478	498	534	0.933	93.26	48.62	0
1031	492	504	0.976	97.62	83.12	0
						Total
Average	301.89	746.22	0.420	42.02	20.580	268
stdev	114.1	145.25	0.181	18.11	15.43	
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TruthIsAll Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 10:18 AM
Response to Reply #110
116. Probability sensitivity analysis: Observed vs simulation
For the simulation average result match = 6, the probablity of
getting at least 14 matched pairs equals 0.36%:
Prob =0.36% =1-BINOMDIST(13,1900,6/1900,TRUE)					
Match	Assume  average simulation matched pairs of 1900 
Prob>n	5	6	7	8	10	12	14	16
1	95.97%	98.28%	99.28%	99.70%	99.95%	99.99%	100.00%	100.00%
2	87.57%	93.83%	97.06%	98.64%	99.73%	99.95%	99.99%	100.00%
3	73.53%	84.92%	91.86%	95.79%	98.98%	99.78%	99.95%	99.99%
4	55.97%	71.54%	82.75%	90.09%	97.10%	99.25%	99.82%	99.96%
5	38.40%	55.46%	69.98%	80.93%	93.34%	97.99%	99.46%	99.87%
6	23.76%	39.37%	55.06%	68.71%	87.05%	95.47%	98.60%	99.61%
7	13.31%	25.58%	40.13%	54.73%	78.05%	91.12%	96.88%	99.02%
8	6.78%	15.24%	27.07%	40.75%	66.78%	84.58%	93.86%	97.84%
9	3.16%	8.36%	16.91%	28.31%	54.24%	75.84%	89.15%	95.73%
10	1.36%	4.24%	9.81%	18.37%	41.70%	65.34%	82.53%	92.35%
11	0.54%	1.99%	5.30%	11.15%	30.29%	53.88%	74.09%	87.41%
12	0.20%	0.87%	2.68%	6.34%	20.79%	42.40%	64.23%	80.80%
13	0.07%	0.36%	1.27%	3.39%	13.50%	31.81%	53.59%	72.65%
14	0.02%	0.14%	0.56%	1.70%	8.29%	22.74%	42.96%	63.33%
15	0.01%	0.05%	0.24%	0.81%	4.83%	15.49%	33.03%	53.37%
16	0.00%	0.02%	0.09%	0.36%	2.67%	10.06%	24.34%	43.40%
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Melissa G Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 10:16 PM
Response to Reply #116
152. Okay all you math guys/gals. I can't even get close to you on the
number crunching. I'm a concept kinda person. I'm not sure I agree that any of this is framed correctly, which is okay 'cuz as far as I can tell we are looking not at probabilities that all you number guys are running but rather pattern anomalies which a programmer might have put in tabulation code.
I think the wrong set of skills are being applied to this problem. Any programmers out there wanna weigh in on this? Anybody agree with where I am headed with this?
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Thu Apr-07-05 10:45 PM
Response to Reply #152
153. If the probability of the "anomaly" happening
is around 20% or higher, then you can easily assume that it happened naturally and no tinkering with the numbers occured. No programming expertise is necessary.

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Melissa G Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 10:58 PM
Response to Reply #153
154. This is where I think framing matters Q..
Edited on Thu Apr-07-05 11:10 PM by Melissa G
I'm not disagreeing with you at the moment.. I am just wondering if we are asking the right questions in the right frame of reference.
As I possibly incorrectly see it, a lot of the numbers that we are tossing around are for justification of inconsistencies. The question to me might be do these irregularities look like any that might be created by a particular code command. Just asking....

edit to say Bottom line here I am not altogether sure that any one has yet come up with the proper question to do the fancy math on.
I am not sure that TIA or Mike's or your picture quite captures the question.
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qwghlmian Donating Member (768 posts) Send PM | Profile | Ignore Thu Apr-07-05 11:10 PM
Response to Reply #154
155. How should I put it...
If you walk down the street and you see a cat dead on the road, all squished up, etc. One possibility is that it was run over by a car by accident. Another would be that the secret sect of Satanists in your neighborhood abducted the cherished family pet from someone's home, did horrible things to it during their Satanic rituals, being careful to not leave any marks on it that would show up on an autopsy, finally sacrificed it to the "Dark Lord", then put it on the road and ran over it to hide their horrible deeds.

All you see is a squished cat. Which of the two above theories would you think is right?
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Melissa G Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 11:17 PM
Response to Reply #155
156. Very cute story Q...not arguing that point..
I'm just talking about the relationships of the numbers and the way that they are being described and mapped. I'm willing to agree that I am wrong and they are being mapped properly and one of you guys math is correct but I'm going to think about it for a while before I do. Other more brilliant math minds might also look and see if there is a more accurate way we could describe the question.
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mgr Donating Member (616 posts) Send PM | Profile | Ignore Fri Apr-08-05 12:42 PM
Response to Reply #154
183. Actually it is the opposite
Edited on Fri Apr-08-05 12:43 PM by mgr
What Q (I know that I should not be speaking for you, but let it pass) and I are saying is that these are not inconsistencies, but expected outcomes. What the problem is, is that many have what I would call a preconcieved notion as to what constitutes randomness, and the pattern is one you would expect given a random situation.

(This is where the whole design issue with evolution takes off from--how does directional randomness with self selection for modification and specialization not appear as design? It sure is an awful slow craftsman)

The problem is that we do not know the total number of each percentage in the set, to determine if the pattern follows random, gravity, or is an artifact of human agency. Randomizing it with a normal curve or straight values does not address what is actually there. Our knowledge of the set is incomplete.

But the main point is, is that this pattern, as described so far, is one expected in nature. It is plausible to expect it, so there is no reason to postulate human agency thus far.

Mike

Mike

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Melissa G Donating Member (1000+ posts) Send PM | Profile | Ignore Fri Apr-08-05 10:40 PM
Response to Reply #183
193. This is the game as I see it..the way we are talking about it.
1600 alphabetized people (precincts)are playing a game..They each have 800 or so unique red socks(possible numerical outcomes) and 800 or so unique blue socks which they wear one on each foot. One day they all go stand in an allotted place. How likely by random chance are they to have matching socks standing by their alphabetized buddy? My guess is 14 times is not out of the question but at least I think I am in the neighborhood of the question for mapping purposes.
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mgr Donating Member (616 posts) Send PM | Profile | Ignore Mon Apr-11-05 05:54 PM
Response to Reply #193
207. The one problem is that you have more than two feet.
If it were just two percentages, the likelihood is lower, but since independants and third parties are in the play, the symmetry does not come into play.

The manner in which you pose the problem makes 14 unlikely in that it is too small a number. You only have four combinations to work with, one out of four or 400 matches would be expected.

What you need to imagine is a diagram of two circles intersecting: one is adjacent precincts, and the other is precincts with a certain percentage of voters. That area of intersection is precincts with the same percentage of either democrats or republicans. You do not know what are in the two larger sets, but have an approximation for what in in the intersection.

Ultimately, since precincts may be adjacent on at least eight points, it becomes inane to consider human agency, since the odds for it happening just on inspection are too low.

Mike
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berniew1 Donating Member (1000+ posts) Send PM | Profile | Ignore Wed Apr-06-05 11:59 PM
Response to Original message
103. Interesting; here's estimate of "swing" by country in Florida
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Thu Apr-07-05 10:04 AM
Response to Reply #103
115. Might be just me, but link is dead. ..n/t
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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Thu Apr-07-05 12:12 PM
Response to Reply #115
131. Page is down
It was working before.
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berniew1 Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 10:01 PM
Response to Reply #103
149. try again; it had typo htm rather than html
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Sancho Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 12:10 AM
Response to Original message
104. Pinellas
For what it's worth...I found one pair in Pinellas: 406 and 407

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Chi Donating Member (921 posts) Send PM | Profile | Ignore Thu Apr-07-05 10:03 AM
Response to Reply #104
114. Out of curiosity...
Heya sancho
How far are you through the data?
Rough estimate will do.

Thanx in Advance.
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Sancho Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 02:19 PM
Response to Reply #114
142. sorry, had to go to work....
I just went to the web site and picked Pinellas since I live here. Took about 5 minutes to put in excel. I'm not sure how many places constitute a match. Several were off a tenth. I suspect if you sort the percents and spot the matches, then the probablility of being adjacent GIVEN that a match exists is the compound probablility..then aggregated over all the counties or something is the total P.
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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Thu Apr-07-05 10:39 AM
Response to Reply #104
118. Great work
Edited on Thu Apr-07-05 10:39 AM by adolfo
Another one to add to the list. Can you email me a copy of the data?

Adolfo(at)recountflorida.com

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Chi Donating Member (921 posts) Send PM | Profile | Ignore Thu Apr-07-05 11:06 AM
Response to Reply #118
123. (Chi points up thread) 114 was actually meant for you... n/t
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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Thu Apr-07-05 11:57 AM
Response to Reply #123
130. Incomplete
Edited on Thu Apr-07-05 11:57 AM by adolfo
I maintain the database at http://www.recountflorida.com/ivrs_county.php

You can check out the status of each county there. Still lots of work to do.
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Chi Donating Member (921 posts) Send PM | Profile | Ignore Thu Apr-07-05 11:04 AM
Response to Reply #104
121. Sorry, confused you with adolfo.... n/t
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berniew1 Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 10:03 PM
Response to Reply #121
151. here's estimate of swing by county in Florida, with doc.
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Melissa G Donating Member (1000+ posts) Send PM | Profile | Ignore Thu Apr-07-05 11:29 PM
Response to Original message
157. Is there a link to a numbered Florida precinct map
for the counties we are talking about?
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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Fri Apr-08-05 10:44 AM
Response to Reply #157
170. PRECINCT MAPS/ADDRESSES
Edited on Fri Apr-08-05 10:58 AM by adolfo
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adolfo Donating Member (525 posts) Send PM | Profile | Ignore Mon Apr-11-05 11:51 AM
Response to Reply #157
205. Distance?
I wonder how far apart each location is?...lets take a look.
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