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Wisconsin Recall: The adjusted Final Exit Poll was forced to match an unlikely recorded vote
Wisconsin Recall: The adjusted Final Exit Poll was forced to match an unlikely recorded vote
Richard Charnin
June 6, 2012
Updated: June 20
Updated: June 20
The media and the exit pollsters have done it again.
Before the first votes were posted, the media reported that based on
the exit polls, the election was “too close to call”. But Walker won by
53.2-46.3%, a 173,000 vote margin. Assuming “too close to call” meant
that the exit poll indicated a 50/50 split, then there was a significant
7% discrepancy between the unadjusted exit poll and the recorded vote.
I believe that Barrett was actually leading the exit polls. Of
course, we will never know until the unadjusted exit polls are
released. In any case, what caused the unknown red shift?
According to the Wisconsin True Vote Model ,
Barrett was a likely 54-46% winner. Barrett should have won easily –
assuming the caveat of a fair election. But the election was very likely
stolen.
Forcing the exit poll to match the recorded vote
The Final Wisconsin adjusted exit poll (2547 respondents) indicated
that Walker had 53.0% (see the NY Times link below). The 0.2% difference
between the Final and the recorded vote was the result of the standard
policy of forcing the unadjusted poll to match the vote.
The pollsters claim that the exit poll had a 4.0% margin of error.
But they can’t mean the final, adjusted poll because it is always forced
to match the recorded vote within 0.5%.
Why did the media not provide the actual unadjusted exit poll
demographics? Was it because they knew that they would have to adjust
all the crosstabs to match a rigged recorded vote – and did not want the public to view the “adjustments”?
The Fraud Factor
And as is always the case, there was no mention of the fraud factor
in the mainstream media. There never is. To the exit pollsters and the
media, there is no such thing as election fraud.
The GOP employs overt voter disenfranchisement in plain sight by
robocalling voters with false information and having election workers
discourage voters from using paper ballots and vote on unverifiable
touchscreen DREs. But we are supposed to believe that right-wing voting
machine manufacturers would not stoop so low as to write malicious code
to covertly flip votes in cyberspace.
In 2010, Walker “won” by 52.2-46.6%, supposedly due to low-Democratic turnout.
Was the election a prologue of the recall?
Was the election a prologue of the recall?
In the recall, Democrats turned out in droves, they wanted Walker
gone. There was no way that the unpopular Governor would match, much
less exceed, his 2010 vote – if the votes were counted as cast. But that
is a quaint notion considering the overwhelming statistical evidence of systemic election fraud since 1988.
Implausible 2008 returning voters and 2012 vote shares
Obama had a 56.2% recorded share in Wisconsin and 63.3% in the
unadjusted exit poll (2.4% margin of error). Assuming Obama had a 60%
True Vote share, then to match the recall vote, Walker needed the
following:
1) 81% of McCain and 71% of Obama voters turned out.
2) He needed to win 25% of Obama and 95% of McCain voters.
3) He needed 46% of new voters who did not vote in 2010. The 2012 exit poll indicates he had 45% and that new voters comprised 13% of the total vote.
1) 81% of McCain and 71% of Obama voters turned out.
2) He needed to win 25% of Obama and 95% of McCain voters.
3) He needed 46% of new voters who did not vote in 2010. The 2012 exit poll indicates he had 45% and that new voters comprised 13% of the total vote.
In order to win by his recorded vote, Walker needed a 10%
advantage in returning 2008 voters and a 20% advantage in net
defections. That is highly implausible.
Exit poll oddities
1) A full 5% of voters were not white or black. But their vote is n/a.
2) Philosophy: 13% of liberals voted for Walker?
3) Party ID: 34% Democrat/ 35% Republican in a progressive state?
4) Labor: Just 62% voted for Barrett?
5) Obama preferred by 51-44%, yet Barrett lost the recall by 53.2-46.3%?
6) Barrett only got 81% of would-be Obama voters?
7)Turnout:47% of recall were returning Walker 2010 and 34% Barrett? That’s a 13% difference. In 2010 Walker “won” by 52.2-46.6%.
8) Urban vote: Barrett had just 62% in big cities?
2) Philosophy: 13% of liberals voted for Walker?
3) Party ID: 34% Democrat/ 35% Republican in a progressive state?
4) Labor: Just 62% voted for Barrett?
5) Obama preferred by 51-44%, yet Barrett lost the recall by 53.2-46.3%?
6) Barrett only got 81% of would-be Obama voters?
7)Turnout:47% of recall were returning Walker 2010 and 34% Barrett? That’s a 13% difference. In 2010 Walker “won” by 52.2-46.6%.
8) Urban vote: Barrett had just 62% in big cities?
The Ultimate Smoking Gun:300 state presidential exit polls (1988-2008)
In the 1988-2008 presidential elections, there were 300 state exit
polls, of which 252 red-shifted from the poll to the vote in favor of
the Republican and 48 to the Democrat. Assuming zero fraud,
approximately 150 would be expected for each. The probability P that 252
would red-shift to the Republican is:
P = 1.3E-34 = Binomdist(62,75,.5,false)^4
P = 1 in 8 billion trillion trillion
P = 1.3E-34 = Binomdist(62,75,.5,false)^4
P = 1 in 8 billion trillion trillion
The margin of error (MoE) was exceeded in 137 of 300 state exit polls
(only 15 would be expected at the 95% confidence level). The
probability P is:
P = 7E-80 = Poisson (137, .05*300, false)
P = 1 in 1 million trillion trillion trillion trillion trillion trillion
P = 7E-80 = Poisson (137, .05*300, false)
P = 1 in 1 million trillion trillion trillion trillion trillion trillion
Of the 137 exit polls in which the MoE was exceeded, 134 moved in
favor of the Republicans (only 8 would be expected). Three favored the
Democrat. The probability P that 134 out of 300 would favor the
Republican is:
P= 5E-115 = Poisson (134, .025*300, false)
P= 1 in 2 million trillion trillion trillion trillion trillion trillion trillion trillion trillion
In the Wisconsin recall Exit Poll notes (following the crosstabs), the pollsters indicate there were 2547 exit poll respondents and that the margin of error (MoE) was +/-4%. Presumably, this includes a 30% cluster factor. But the MoE seems too high, considering the number of respondents.
P= 5E-115 = Poisson (134, .025*300, false)
P= 1 in 2 million trillion trillion trillion trillion trillion trillion trillion trillion trillion
In the Wisconsin recall Exit Poll notes (following the crosstabs), the pollsters indicate there were 2547 exit poll respondents and that the margin of error (MoE) was +/-4%. Presumably, this includes a 30% cluster factor. But the MoE seems too high, considering the number of respondents.
The theoretical MoE is given by the simple formula: MoE =.98/sqrt(n),
where n is the number of respondents. For the recall: MoE = 2.0% =
.98/sqrt(2547). It is 2.6% after adding the 30% cluster effect.
The National Exit Poll is always forced to match the recorded vote to
within 0.50%. Yet the pollsters claim that the MoE is 4.0%. Why do the
pollsters even bother to mention the MoE? It has no meaning since the
exit poll is always adjusted to match the recorded vote anyway.
If we had unadjusted exit poll data, the margin of error
would be applied to determine the interval where the vote share would
fall 95% of the time. This is why unadjusted exit polls are necessary.
The standard practice of forcing the exit poll to match the recorded
vote implicitly assumes zero fraud, i.e. the recorded vote is identical
to the True Vote. It never is.
The conventional wisdom is very conventional – and very misleading:
http://www.huffingtonpost.com/2012/06/05/wisconsin-recall-vote_n_1572662.html
http://www.huffingtonpost.com/2012/06/05/wisconsin-recall-vote_n_1572662.html
The NY Times Election site has the FINAL, adjusted exit poll crosstabs.
http://www.nytimes.com/interactive/2012/06/05/us/politics/wisconsin-recall-exit-polls.html
http://www.nytimes.com/interactive/2012/06/05/us/politics/wisconsin-recall-exit-polls.html
About Richard Charnin
In 1965, I graduated from Queens College (NY) with a BA in Mathematics. I later obtained an MS in Applied Mathematics from Adelphi University and an MS in Operations Research from the Polytechnic Institute of NY. I started out as a numerical control engineer/programmer for a major defense/aerospace manufacturer and then moved to Wall Street as a manager/developer of corporate finance quantitative applications for several major investment banks. I consulted in quantitative applications development for major domestic and foreign financial institutions, investment firms and industrial corporations. In 2004 l began posting weekly "Election Model" projections based on state and national polls. As "TruthIsAll", I have been posting election analysis to determine the True Vote ever since.
View all posts by Richard Charnin
In 1965, I graduated from Queens College (NY) with a BA in Mathematics. I later obtained an MS in Applied Mathematics from Adelphi University and an MS in Operations Research from the Polytechnic Institute of NY. I started out as a numerical control engineer/programmer for a major defense/aerospace manufacturer and then moved to Wall Street as a manager/developer of corporate finance quantitative applications for several major investment banks. I consulted in quantitative applications development for major domestic and foreign financial institutions, investment firms and industrial corporations. In 2004 l began posting weekly "Election Model" projections based on state and national polls. As "TruthIsAll", I have been posting election analysis to determine the True Vote ever since.
View all posts by Richard Charnin
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