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The Exit Poll Smoking Gun: “How did you vote in the last election”?

Richard Charnin
Nov. 19, 2014
Updated Sept.30, 2015

My Website: Election Fraud and JFK
Look inside the books:
Reclaiming Science:The JFK Conspiracy
Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts

JFK Blog Posts
Probability/ Statistical Analysis Spreadsheets:
JFK Calc: Suspicious Deaths, Source of Shots Surveys;
Election Fraud: True Vote Models, State and National Unadjusted Exit Polls

The Exit Poll Smoking Gun: “How did you vote in the last election”?

This question has proven to be devastating for those who still believe there is no such thing as election fraud. So devastating, it was not asked in the 2012 presidential exit poll or the 2014 House exit poll.

The exit pollsters freely admit that they adjust the polls to match the recorded vote. The rationale is that since the exit polls are always off by an 8% average margin, they must be adjusted to match the pristine, fraud-free recorded vote. The pollsters never consider the possibility that the unadjusted exit polls were accurate; they claim that the discrepancies are due to consistently bad polling.

So why do the pollsters get paid the big bucks from the National Election Pool? In any other profession, if your analysis is way off, you had better get it right the next time. If it’s way off on your second try, you get one more chance. If you fail a third time, that’s it. Someone else gets your job. But here’s the catch: the pollsters were accurate; the unadjusted polls matched the True Vote. So why did they have to adjust the polls to match the bogus recorded vote?

The unadjusted exit polls were forced to match the recorded vote in every presidential election since 1988. The Democrats won the state and national exit polls by 52-42%, but won the the recorded vote by just 48-46%. The probability of the discrepancy: 1 in trillions. The exit polls were right. The vote counts were wrong. It’s as simple as that.

Does the rationale sound crazy to you? Despite all of the anecdotal evidence of election fraud, it is never considered by the corporate media (the National Election Pool) who fund the exit pollsters.

This graph shows that in the 1972, 1988, 1992, 2004 and 2008 presidential elections, the National Exit Poll was forced to claim there was over 100% turnout of living Nixon, Bush1 and Bush2 voters from the prior election. Impossible – and proof of fraud.

I have been posting on this very unscientific procedure since 2004. In this post I will review the basic method used to match the vote: changing the mix of returning voters. We will look at the 2004-2008 presidential elections and the 2010-2014 Wisconsin and Florida governor elections. The pattern of deceit will be revealed by adjustments made to the number of exit poll respondents and returning voters to match the official recorded vote counts – and cover up the fraud.

2004 Presidential
There were 13,660 National Exit Poll respondents and 51.7% said they voted for Kerry. But Bush won the recorded vote by 50.8-48.3%. So the pollsters had to switch 6.7% of Kerry respondents to Bush.

Bush had 50.5 million recorded votes in 2000. Approximately 2 million died and another million did not return in 2004. Therefore, there were at most 47.5 million returning Bush 2000 voters. The National Exit poll indicated that 52.6 million Bush 2000 voters returned in 2004. The pollsters had to create at least 5 million phantom Bush voters. Of course, this made no sense. But who questioned it? Who even knew about it? https://richardcharnin.wordpress.com/2012/02/21/the-final-2004-national-exit-poll-switched-7-2-of-kerry-responders-to-bush/ https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=7

2008 Presidential
There were 17,836 National Exit Poll respondents. Obama had 61% in the unadjusted poll but just 53% in the vote count. The adjusted 2008 National Exit Poll indicated that 46% of 2008 voters (60 million) were returning Bush 2004 voters and 37% (48 million) returning Kerry voters.This was impossible; it implied a 103% turnout of living Bush 2004 voters. Bush won the recorded vote by 3 million. But Kerry won the unadjusted exit poll by 6 million and the True vote by nearly 10 million. https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=1

2010 Florida Governor
Scott defeated Sink with 50.59% of the 2-party vote. But Sink easily won the unadjusted exit poll by 50.8-45.4% (3150 respondents, 2% margin of error). In order to match the recorded vote, the adjusted exit poll indicated a 47/47% split in returning Obama and McCain voters, 3% were new and 3% returning 3rd party (other) -but vote shares were NA for new and other voters. In order to match the recorded vote, Scott needed 67% of the 6% NA. This is implausible. Based on the unadjusted exit poll, Sink had 57% of this group.

2014 Florida Governor
Scott had 50.58% of the 2-party vote, within .01% of his 2010 share. Just a coincidence? The question How Did You Vote in 2010? was not asked, so let’s look at the Florida exit poll Party-ID demographic. There were 11.9 million registered voters. Democrats outnumbered Republicans by 500,000 (38.8% Dem; 35.0% Rep; 26.2% Other). But in matching the recorded vote, the Party-ID split was 31D-35R-33I. Assuming that the True split was equal to the actual voter registration mix, Crist is the winner by 50.9-44.6%. Crist had stronger support among Democrats (91%) than Scott had among Republicans (88%). He won Independents by 46-44%. So how did he lose?

Florida Gov 2014 Exit Poll (matched recorded vote)
Party-ID.......Mix Crist Scott Wyllie
Democrat........31% 91% 6% 3%
Republican......35% 10% 88% 2%
Independent.....33% 46% 44% 8%
Total...........99% 46.9% 47.2% 4.3%
Votes..........5.88 2.78 2.80 0.25

Florida Gov 2014 Exit Poll (Registration Mix)
Party-ID.......Mix Crist Scott Wyllie
Democrat.......39% 91% 6% 3%
Republican.....35% 10% 88% 2%
Independent....26% 46% 44% 10%
Total..........100% 50.9% 44.6% 4.5%
Votes......... 5.94 3.03 2.65 0.265

2012 Wisconsin Walker Recall
In 2008, Obama won Wisconsin with a 56.2% recorded share. He had 63.3% in the unadjusted exit poll, far beyond the 2.5% margin of error. The exit poll is strong evidence that election fraud sharply reduced Obama’s True Vote.

In 2010, Walker won by 124,638 votes with a 52.3% share. in 2012, he won the recall by 171,105 votes with 53.1%. But the True Vote Model (TVM) showed that he needed 23% of Obama returning voters to match the recorded vote. That is extremely implausible – and a red flag. It’s further evidence that Barrett won the election. https://richardcharnin.wordpress.com/2012/07/11/the-walker-recall-true-vote-model-implausible-vote-shares-required-to-match-the-vote/ https://docs.google.com/spreadsheet/ccc?key=t4pqdOMFhfNwaIq8ELOAg_w#gid=32

2014 Wisconsin Governor
Walker won with a 52.9% share. In order to match the recorded vote, the adjusted exit poll showed that returning 2012 Barrett voters comprised 35% of 2014 voters compared to 50% for returning Walker voters. The 15% spread is implausible. Compare it to Walker’s 7% recorded 2012 margin and Barrett’s estimated 6% True Vote margin (a whopping 21% discrepancy).Assuming a feasible Barrett 45/Walker 41% returning voter mix, Burke is the winner by 52.3-47.3%.

In the “How Voted in 2012” crosstab, vote shares are missing for Other (3%) and New Voters (DNV 11%). How many of the missing 14% voted for Burke? https://richardcharnin.wordpress.com/2014/11/12/wisconsin-2014-governor-true-voteexit-poll-analysis-indicates-fraud/ https://docs.google.com/spreadsheets/d/1oAq0CJ1QSfy4JaNYpM_5esTafUdpt3ipgJU0Iz8RlD0/edit#gid=2079407084

An excellent paper from mathematician Kathy Dopp:

Click to access USElections2014.pdf

 

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Nate Silver and Election Fraud

Richard Charnin
Nov. 17, 2014

Look inside the books:
Reclaiming Science:The JFK Conspiracy
Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts

JFK Blog Posts
Probability/ Statistical Analysis Spreadsheets:
JFK Calc: Suspicious Deaths, Source of Shots Surveys;
Election Fraud: True Vote Models, State and National Unadjusted Exit Polls

Once again, Nate Silver misdirects his readers in reviewing the 2014 elections. He claims that the polls were biased to the Democrats. He never considers that the polls were close to the true vote but that the vote counts were rigged. http://fivethirtyeight.com/features/the-polls-were-skewed-toward-democrats/

Nate Silver never discusses Election Fraud, even though it has been proven systemic. I pointed this a few years ago in a reply to his post on why we should not believe exit polls. His knowledge of exit polls was (and apparently still is) non-existent. https://richardcharnin.wordpress.com/2012/11/17/a-reply-to-nate-silvers-ten-reasons-why-you-should-ignore-exit-polls/

As usual Nate cites polling “bias”. But not a word about the fact that early pre-election polls include all registered voters (RVs). As we move toward Election Day, the polls are transformed to the subset of Likely Voters (LVs) – with the effect of reducing projected Democratic turnout and vote share.

The true bias is that pollsters skew the projections in order to match the expected fraudulent recorded vote. Nate Silver never considers that the RV polls are usually close to the truth – but that the LV polls are biased against the Democrats. So it’s just the opposite from Nate’s view. He believes the official vote counts are accurate, but researchers who analyze the historical record see a consistent 4-5% “red shift” to the GOP. It is absolute proof that the recorded vote counts are fraudulent and biased for the Republicans. http://electiondefensealliance.org/?q=voter_cutoff_model

Nate never discusses the fact that exit polls are always forced to match the bogus recorded vote. The pollsters admit that it is standard operating procedure. Their rationale is that the polls must always be wrong since they deviate so greatly from the recorded vote. Of course we never get to see the unadjusted exit polls until years later, if then. The 1988-2008 unadjusted presidential state and national exit polls showed that the Democrats won by an average of 52-42%. But the recorded vote had them winning by just 48-46%
I just posted the True Vote model for the Wisconsin and Florida governor races. Both races were stolen in 2014- just like they were in 2010 and the 2012 Walker recall. .

In the 2010 Florida Governor election, the unadjusted exit poll and the True Vote Model indicated that Sink won by 5%, yet Scott won the recorded vote by 1%. In 2014, Scott won again. The 2-party vote shares were identical! Scott had 50.59% in 2010 and 50.58% in 2014! A coincidence? Hardly.The Florida 2014 Exit Poll indicates a 31-35-33 Dem-Rep-Ind split (over-weighted for Republicans) with 91% of Dems voting for Crist, 88% of Repubs voting for Scott. Crist won Independents by 46-44%. When we change the split to a more plausible 34-33-33, Crist is the winner by 49.4-45.6%. https://richardcharnin.wordpress.com/2014/11/14/florida-2014-governor-true-voteexit-poll-analysis-indicates-fraud/

In the 2014 Wisconsin Governor election, a True Vote analysis indicates that Walker stole the election, just like the recall in 2012. View the True Vote analysis: https://richardcharnin.wordpress.com/2014/11/12/wisconsin-2014-governor-true-voteexit-poll-analysis-indicates-fraud/

The easiest way to understand that our elections are fraudulent is to look at the 2004 presidential election. According to the adjusted 2004 National Exit Poll (as posted on major media sites), there were 52.6 million returning Bush 2000 voters (43% of the 2004 electorate) and 37% returning Gore voters. Recall that Gore won the popular vote by 540,000. Gore won the unadjusted exit polls by 50-45% (he actually won the True Vote by 3-5 million).

But Bush had only 50.5 million recorded votes in 2000. Approximately 2 million died and one million did not return. Therefore, there were at least 5 million (52.6-47.5) phantom Bush voters. The exit pollsters had to adjust the unadjusted, pristine National Exit poll which showed Kerry a 52-47% winner to make Bush a 51-48% winner. Bush needed an impossible 110% turnout of living Bush 2000 voters to match the recorded vote. https://richardcharnin.wordpress.com/2012/04/05/fixing-the-exit-polls-to-match-the-policy/

And finally, here is the ultimate proof of systemic election fraud. In the 274 state presidential unadjusted exit polls from 1988-2008, the Democrats won the polls by 52-42%, exactly matching my True Vote Model. But they won the recorded vote by just 48-46%. Of the 274 exit polls 135 exceeded the margin of error, 131 in favor of the Republican. The probability P of that discrepancy is E-116 or
P= 0.0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 000001.

1988-2008 Unadjusted State and National Exit Poll Database

Take anything from Nate Silver with a BIG GRAIN OF SALT. He never mentions PROVEN ELECTION FRAUD . And don’t forget that he had the gall to rank famous pollster Zogby dead last in his evaluation of pollsters a number of years back while ranking dedicated GOP pollsters at the top.

I have written several open-letter posts for Nate. He has not responded to any.

1. An Open Letter to Nate Silver http://richardcharnin.com/OpenLettertoNateSilver.htm
2. An Open Letter to Nate Silver (Part 2) http://richardcharnin.com/OpenLettertoNateSilver.htm
3.Twenty-five Questions for Nate Silver http://richardcharnin.com/TwentySilver.htm
4.A Reply to Nate Silver’s “Ten Reasons Why You Should Ignore Exit Polls” https://richardcharnin.wordpress.com/2012/11/17/a-reply-to-nate-silvers-ten-reasons-why-you-should-ignore-exit-polls/
5. Zogby vs. Silver: 1996-2008 True vs. Recorded Vote Pollster Rankings http://richardcharnin.com/SilverRankings.htm

The bottom line: Nate works for the major corporate media which is not interested in divulging why pre-election and exit pollsters adjust the polls to match fraudulent vote counts. They will never plead guilty.

This is a summary of my track record in forecasting the 1988-2012 presidential elections, unadjusted exit polls and True Vote Models. https://richardcharnin.wordpress.com/2014/09/14/summary-2004-2012-election-forecast-1968-2012-true-vote-model/

 
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Posted by on November 17, 2014 in Election Myths, Media, Rebuttals

 

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2014 Election : Why won’t the National Election Pool Release UNADJUSTED exit polls?

Richard Charnin
Nov.8, 2014

2014 Election: Why won’t the National Election Pool Release UNADJUSTED exit polls?

Look inside the books:
Reclaiming Science:The JFK Conspiracy
Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts

JFK Blog Posts
Probability/ Statistical Analysis Spreadsheets:
JFK Calc: Suspicious Deaths, Source of Shots Surveys;
Election Fraud: True Vote Models, State and National Unadjusted Exit Polls

The analysis of 1988-2014 election anomalies has been proven beyond any doubt that Election Fraud is systemic. If the Democrats or the Republicans were interested in fair elections, election fraud would have been eliminated long ago.  This is apparent based on the historic overview and analysis of election fraud.

In 2012,  the National Election Pool (NEP)  came to realize that unadjusted polls were a clear indicator of fraud  so they just stopped polling in 19 states. And we only have  adjusted state and national exit polls, so that the ability to prove election fraud based on unadjusted exit polls and true vote analysis is reduced.

It’s not just the exit polls that are manipulated. Pre-election Registered Voter (RV) polls are reduced to a Likely Voter (LV) subset, eliminating many new, mostly Democratic voters, as noted by  Jonathan Simon: Vote Counts and Polls: An Insidious Feedback Loop

The pattern is repeated in every election cycle:  a) Registered Voter (RV) pre-election polls  are reduced to a Likely Voter (LV) subset (eliminate many new Democratic voters) and b) unadjusted exit polls are forced to match the recorded vote (4-5% red-shift to GOP).

In 2014, the Republicans won the House recorded vote by 52.3-46.6%. According to the final, adjusted National Exit poll, they won by 51.9-46.1%. The .01% difference in margin was not due to perfect polling of a fraud-free election. It was due to the standard procedure of matching the exit poll to a fraudulent recorded vote.

Final vote shares were calculated for all 2014 National Exit Poll categories. But the actual exit poll responses are adjusted to match the recorded vote. UNADJUSTED STATE AND NATIONAL EXIT POLLS ARE ALWAYS FORCED TO MATCH THE RECORDED VOTE. But we never get to see the unadjusted polls until years later, if then.

Therefore, voters must demand to view the unadjusted exit polls (including polled precincts).  To paraphrase Alec Baldwin in Glengary Glen Ross: The unadjusted national exit polls are gold, but you don’t get them. They’re for closers (the corporate media).

2014 National House Exit Poll

Gender...Mix...Dem... Rep..Other Margin
Men......49.0% 41.0% 57.0% 2.0% 16.0%
Women....51.0% 51.0% 47.0% 2.0% 4.0%
Total..........46.1% 51.9% 2.0% 5.8%
Recorded.......46.6% 52.3% 1.1% 5.7%
Diff............0.5% 0.4% 0.9% 0.1%


The unadjusted national exit polls and the aggregate of state exit polls (adjusted only for state voting population) have closely matched the True Vote Model in all presidential elections since 1988. The True Vote Model has the Democratic margin at 53-41%; the unadjusted state and national exit polls are identical: 52-42%.

The Democrats won the 1988-2008 recorded vote by just 2% (48-46%). There is a consistent 8% exit poll margin discrepancy from the recorded vote. But we don’t have the unadjusted 2014 National Exit Poll. Based on 1988-2008 margins, 2014 would be expected to show a 50-48% unadjusted (true) Democratic margin- and eliminate the 4% red shift to the GOP.

 

This is an excellent paper from mathematician Kathy Dopp:

Click to access USElections2014.pdf

TRACK RECORD
Election Model Forecast; Post-election True Vote Model

1988-2008 State and National Presidential True Vote Model https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdGN3WEZNTUFaR0tfOHVXTzA1VGRsdHc#gid=0

1968-2012 National Presidential True Vote Model https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFpDLXZmWUFFLUFQSTVjWXM2ZGtsV0E#gid=4

2004 (2-party vote shares)
Model: Kerry 51.8%, 337 EV (snapshot) https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdGN3WEZNTUFaR0tfOHVXTzA1VGRsdHc#gid=0
State exit poll aggregate: 51.7%, 337 EV
Recorded Vote: 48.3%, 255 EV
True Vote Model: 53.6%, 364 EV

2008
Model: Obama 53.1%, 365.3 EV (simulation mean) http://www.richardcharnin.com/2008ElectionModel.htm
Recorded: 52.9%, 365 EV
State exit poll aggregate: 58.0%, 420 EV
True Vote Model: 58.0%, 420 EV

2012 (2-party state exit poll aggregate shares)
Model: Obama 51.6%, 332 EV (Snapshot) https://richardcharnin.wordpress.com/2012/10/17/update-daily-presidential-true-voteelection-fraud-forecast-model/
Recorded : 51.6%, 332 EV
True Vote Model: 55.2%, 380 EV

 
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Posted by on November 8, 2014 in 2014 Elections, Election Myths

 

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The Election Fraud Quiz II

The Election Fraud Quiz II

Richard Charnin
Sept. 23, 2013

1 The exit poll margin of error is not a function of
a) sample-size, b) 2-party poll share, c) national population size

2 In the 1988-2008 presidential elections, the Democrats won the recorded vote 48-46%. They won both the average unadjusted state and national exit polls by
a) 50-46%, b) 51-45%, c) 52-41%

3 In 2004 the percentage of living Bush 2000 voters required to match the recorded vote was
a) 96%, b) 98%, c) 110%

4 In 2000 the approximate number of uncounted votes was
a) 2, b) 4, c) 6 million

5 In 2008, Obama won by 52.9-45.6%. He led the unadjusted National Exit Poll (17,836 respondents) by
a) 53-45%, b) 58-40%, c) 61-37%

6 In 1988 Bush beat Dukakis by 7 million votes (53.4-45.6%). Dukakis won the National Exit Poll by
a) 49.9-49.1%, b) 50.7-48.3%, c) 51.0-48.0%

7 In 1988 the approximate number of uncounted votes was
a) 6, b) 9, c) 11 million

8 Of 274 state exit polls from 1988-2008, 135 exceeded the margin of error (14 expected). How many moved in favor of the GOP?
a) 85, b) 105, c) 131

9 Gore won the popular vote in 2000. In 2004, returning Nader voters were 5-1 for Kerry, new voters 3-2 for Kerry. In order for Bush to win, he must have won
a) 30% of returning Gore voters, b) 90% of returning Bush voters, c) both (a) and (b).

10 In 2008 Obama won 58% of the state exit poll aggregate. Given it was his True Vote, he had how many Electoral Votes?
a) 365, b) 395, c) 420

11 What is the probability that 131 of 274 state exit polls from 1988-2008 would red-shift to the GOP beyond the margin of error?
a) 1 in 1 million, b) 1 in 1 trillion, c) 1 in 1 trillion trillion trillion trillion trillion trillion trillion trillion trillion (E-116)

12 In 2000 12 states flipped from Gore in the exit polls to Bush in the recorded vote. Gore would have won the election if he had won
a) 1, b) 2, c) 3 of the 12 states

13 In 1988 24 states had exit polls (2/3 of the total recorded vote). Dukakis won the state polls by
a) 50-49%, b) 51-48%, c) 52-47%

14 Exit polls are always adjusted to conform to the recorded vote. It is standard operating procedure and
a) reported by the corporate media, b) noted by academia, c) statistical proof of election fraud

15 Bush had 50.5 million votes in 2000. Approximately 2.5 million died and 1 million did not return to vote in 2004. Therefore, there could not have been more than 47 million returning Bush 2000 voters. But the 2004 National Exit Poll indicated 52.6 million returning Bush voters. This is proof that
a) Bush stole the 2004 election, b) it was a clerical error, c) 6 million Bush votes were not recorded in 2000.

16 In 2000 Gore won the popular vote by 540,000 votes (48.4-47.9%). He won the unadjusted state exit poll aggregate by 50.8-44.4% and the unadjusted National Exit Poll by 48.5-46.3%, indicating that
a) the state exit poll aggregate was outside the margin of error, b) the National poll was within the margin of error, c) the election was stolen, d) all

17 Corporate media websites show that Bush won the 2004 National Exit Poll (13660 respondents) by 51-48%, matching the recorded vote. But the unadjusted National Exit Poll indicates that Kerry won by 51.0-47.6% (7064-6414 respondents). The discrepancy is proof that
a) the poll was adjusted to match the recorded vote, b) Bush stole the election, c) both, d) neither

18 The pervasive difference between the exit polls and the recorded vote in every election is due to
a) inexperienced pollsters, b) Republican reluctance to be polled, c) systemic election fraud

19 In 1992 Clinton defeated Bush by 43-37.5% (Perot had 19.5%). Clinton won the unadjusted National exit poll by 48-32-20%. Bush needed 119% turnout of returning 1988 Bush voters to match the recorded vote. These anomalies were due to
a) bad polling, b) Bush voters refused to be polled, c) Bush tried but failed to steal the election.

20 Sensitivity analysis is a useful tool for gauging the effects of
a) various turnout assumptions, b) various vote share assumptions, c) both, d) neither

21 Monte Carlo simulation is a useful tool for
a) predicting the recorded vote, b) electoral vote, c) probability of winning the electoral vote.

22 The expected electoral vote is based on
a) state win probabilities, b) state electoral votes, c) both, d) neither

23 To match the recorded vote, which exit poll crosstab weights and shares are adjusted?
a) when decided, b) how voted in prior election, c) party ID, d) gender, e) education, f) income, g) all

24 In 2004 Bush’s final pre-election approval rating was 48%, but it was 53% in the adjusted National Exit Poll. The discrepancy was due to
a) late change in approval, b) different polls, c) forcing the exit poll to match the recorded vote

25 The True Vote Model is designed to calculate the fraud-free vote. The TVM utilizes final exit poll shares but estimates returning voters based on the prior election
a) recorded vote, b) votes cast, c) unadjusted exit poll, d) true vote, e) all

https://richardcharnin.wordpress.com/category/true-vote-models/

1c 2c 3c 4c 5c 6a 7c 8c 9c 10c 11c 12a 13c 14c 15a 16c 17c 18c 19c 20c 21c 22c 23g 24c 25e

 

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Sensitivity Analysis proves a JFK Conspiracy and Systemic Election Fraud

Sensitivity Analysis proves a JFK Conspiracy and Systemic Election Fraud

Richard Charnin
August 2, 2013
Updated: Aug. 5, 2014

Click Reclaiming Science:The JFK Conspiracy to look inside the book.

JFK Blog Posts
JFK Calc Spreadsheet Database

It’s all in the numbers. In both cases, we have a series of observations. The 122 JFK witness deaths (78 ruled unnatural) are from 1964-78; the 274 state presidential unadjusted exit polls are from the six elections in 1988-2008. There are numerous data anomalies in the accumulated totals in both.

The problems are similar. In the Election Fraud analysis, we need to determine the number of state exit polls which fell outside the margin of error for each candidate. We would expect a near equal split. In the JFK analysis, we need to compare the number of unnatural witness deaths to what would normally be expected based on unnatural mortality rates, given the number of JFK-related witnesses.

We assume the Null Hypothesis: No JFK Conspiracy; No substantive Election Fraud. The first step is to record witness and mortality rate data in a spreadsheet. A mathematical analysis determines if the observations are reasonable based on statistical expectation. If the resulting probabilities go to zero, we reject the null hypothesis; we have proved systemic election fraud and a JFK conspiracy.

The data parameters are limited in scope.
– JFK: witness universe, unnatural deaths, time period, mortality rate
– Election Fraud: state elections, exit polls, recorded shares, margin of error

In both studies, we seek to determine the probabilities based on the number of…
– JFK: unnatural deaths vs. expected number based on mortality statistics.
– Election Fraud: exit polls exceeding the margin of error vs. expected number.

I posted the following analysis on John McAdams’ JFK assassination site. His response was typical disinformation; he wrote that I am reluctant to have the analysis peer-reviewed. But no one has ever come forth to refute the election fraud or JFK analysis. The work has been available on spreadsheets to everyone with Internet access for years. It has been cited in Hit List by Richard Belzer and David Wayne, Crossfire by Jim Marrs and Presidential Puppetry by Andrew Kreig.

McAdams is apparently incapable of doing a peer-review himself. I suggested that he ask the math or political science professors at Marquette University but he has not done so. https://groups.google.com/forum/?fromgroups=#!topic/alt.assassination.jfk/gy1LY3aTm60

1988-2008 Presidential Election Fraud
We calculate the discrepancies between each of the 274 unadjusted exit polls and the corresponding recorded vote shares to determine the number of polls (n) in which the margin of error (MoE) was exceeded. We then calculate the probability.

The MoE is a function of the number of exit poll respondents plus an additional 30% cluster factor. For example, the calculated 2.50% MoE and a 30% (0.75) cluster factor results in a 3.25% MoE.

In the six presidential elections from 1988-2008, the MoE was exceeded in 135 of the 274 exit polls, 131 moving in favor of the Republican and just 4 to the Democrat. At the 95% confidence level, we would expect that the MoE would be exceeded in 14 polls.

The probability that the MoE would be exceeded in 131 of 274 exit polls in favor of the GOP is a ridiculous E-116 (116 zeros to the right of the decimal point). That is a big fat ZERO. But what if the cluster factor is higher than 30%? It would increase the MoE; therefore, the number of polls in which the MoE was exceeded would be lower.

In the sensitivity analysis, we calculate probabilities for cluster factors ranging from 0-100%. The most likely base case is the 30% cluster factor (a total 3.60% average MoE). The exit poll margin of error was exceeded in 135 of the 274 elections. The probability P= E-83 = 0.0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 001

Even assuming an impossible 200% cluster factor, the resulting 8.31% MoE was exceeded in 29 elections – a 1 in 10,000 probability. https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=43

If the six elections were fair, we would expect the MoE to be exceeded in approximately 14 of 274 exit polls. The margin of error scenarios all show that the exit poll discrepancies from the recorded vote were overwhelmingly one-sided in favor of the GOP. The probabilities of the red-shift were ZERO in all scenarios. Therefore we can conclude that Election Fraud is systemic beyond any doubt.

US Count Votes did a comprehensive simulaton analysis of the 2004 exit poll discrepancies which disproved the exit pollster’s reluctant Bush responder hypothesis. I created an exit poll response optimization model which confirmed the USCV simuation: http://www.richardcharnin.com/ExitPollResponseOptimization.htm

JFK Assassination Witnesses

There has been an ongoing controversy over the number of witnesses who died mysteriously ever since the actuary engaged by the London Sunday Times calculated 100,000 TRILLION to 1 odds that 18 material witnesses would die in the three years following the assassination. The HSCA claimed that the “universe” of material witnesses was unknowable, therefore the calculation was invalid and was not proof of a conspiracy. But an approximate number (1400+) was knowable.

Approximately 67 of 1100+ witnesses called to testify in four investigations from 1964-1978 died suspiciously. Of the 552 who testified at the Warren Commission in 1964, at least 30 died suspiciously (20 unnaturally). In three investigations (Garrison/Shaw trial, Church, HSCA) approximately 600 witnesses were called to testify; 37 died suspiciously. Most of the deaths occurred just before their scheduled testimony.

We have a finite universe of witnesses, the number and cause of unnatural deaths, and the unnatural mortality rates. Given this input, we can calculate the expected number of deaths and compare it to the actual number. This is analogous to the actual and expected numbers of exit polls exceeding the margin of error.

Here are the graphs and probability calculations which prove a conspiracy: https://richardcharnin.wordpress.com/2013/10/14/jfk-witness-deaths-graphical-proof-of-a-conspiracy/

Convenient deaths spiked in 1964 (Warren Commission) and 1977 (House Select Committee).

This is a sensitivity analysis of unnatural witness deaths.
We calculate a probability matrix of unnatural deaths over a range of material witnesses and number of deaths. We can then analyze the effects of these two key factors on the probability. As the number of witnesses (N) increase for a given number (n) of deaths, so does the probability that n deaths will occur. Conversely, as the number of unnatural witness deaths (n) increase for a given number (N) of witnesses, the probabilities will decrease.

There were at least 78 officially ruled unnatural deaths of 1400+ material witnesses over the 15 year period from 1964-78: 34 homicides, 24 accidents, 16 suicides and 4 unknown causes. The probability is E-62 assuming the average weighted JFK unnatural mortality rate (0.000247). It is E-41 assuming the average unweighted national unnatural rate (0.000822). But many suicides and accidents were actually homicides (the number of official unnatural deaths far exceeded the statistical expectation).

The sensitivity analysis table of unnatural deaths and corresponding matrix for homicides shows that the probability of unnatural deaths is ZERO in all plausible combination scenarios.

There are some who claim there were many more than 1400 witnesses. But other than the 1400 listed in Who’s Who in the JFK Assassination, there is no comparable list of material witnesses. The FBI claimed 25,000 persons were interviewed. But how many were material witnesses who had information related to the assassination? Even assuming 25,000 witnesses, the probability of 84 homicides in 15 years is 1 in 100 trillion.

Average 1964-78 Homicide rate: 0.000084
Sensitivity Analysis: Probability of 80 Homicides for N witnesses (1964-78)
N….Probability

1400 1.68E-100
2000 1.94E-88

3000 6.70E-75
3500 8.07E-70
4000 1.87E-65
4500 1.23E-61
5000 2.99E-58

5500 3.25E-55
6000 1.82E-52
6500 5.85E-50
7000 1.17E-47
7500 1.55E-45

8000 1.44E-43
10000 6.48E-37
15000 1.42E-25
20000 2.52E-18
25000 4.17E-13 (1 in 2,396,168,995,675)

 
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Posted by on August 2, 2013 in Election Myths, JFK

 

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Historical Overview and Analysis of Election Fraud

Richard Charnin
Jan.31, 2013
Updated: Jan. 22, 2017

Historical Overview and Analysis of Election Fraud

In the 1968-2012 Presidential elections, the Republicans won the average recorded vote by 48.7-45.8%. The 1968-2012 National True Vote Model (TVM) indicates the Democrats won the True Vote by 49.6-45.0% – a 7.5% margin discrepancy.

In the 1988-2008 elections, the Democrats won the unadjusted state exit poll aggregate by 52-42%, yet won the recorded vote by just 48-46%, an 8% margin discrepancy. 

But just because unadjusted exit polls were excellent indicators of fraud in the past does not mean that they were accurate in 2016.   Clinton won the Recorded vote by 48.3-46.2%. Trump led the Election Model recorded vote forecast by 44.4-42.9% which exactly matched the 306-232 EV.

The media was in the tank for Clinton, the establishment candidate. In the pre-election and exit polls, Democratic Party-ID affiliation and corresponding vote shares were inflated at the expense of Independents. The True Vote Model indicates that Trump won Independents by nearly 10%.

Probabilities of the state and national exit poll discrepancies 

The state exit poll margin of error was exceeded in 135 of 274 state presidential elections from 1988-2008. The probability of the occurrence is ZERO. Only 14 (5%) would be expected to exceed the MoE at the 95% confidence level. Of the 135 which exceeded the MoE, 131 red-shifted to the Republican. The probability P of that anomaly is ABSOLUTE ZERO (E-116). That is scientific notation for

P= .000000000 000000000 000000000 000000000 000000000 000000000 000000000 000000000 000000000 000000000 000000000 0000001.

I have written four books on election fraud which prove that the official recorded vote has deviated from the True Vote in every election since 1968.  Except for 2016,  the deviations have  always favored the Republicans. Voting machine “glitches” are not due to machine failures; they are caused by malicious programming.

The proof is in the 1988-2008 Unadjusted State Exit Polls Statistical Reference. Not one political scientist, pollster, statistician, mathematician or media pundit has ever rebutted the data or the calculation itself. They have chosen not to discuss the topic. And who can blame them? Job security is everything.

Election forecasters, academics, political scientists and main stream media pundits never discuss or analyze the statistical evidence that proves election fraud is systemic – beyond a reasonable doubt. This site contains a compilation of presidential, congressional and senate election analyses based on pre-election polls, unadjusted exit polls and associated True Vote Models. Those who never discuss or analyze Election Fraud should focus on the factual statistical data and run the models. If anyone wants to refute the analytic evidence, they are encouraged to do so in a response. Election forecasters, academics and political scientists are welcome to peer review the content.

The bedrock of the evidence derives from this undisputed fact: National and state actual exit poll results are always adjusted in order to force a match to the recorded vote – even if doing so requires an impossible turnout of prior election voters and implausible vote shares.

All demographic categories are adjusted to conform to the recorded vote. To use these forced final exit polls as the basis for election research is unscientific and irresponsible. The research is based on the bogus premise that the recorded vote is sacrosanct and represents how people actually voted. Nothing can be further from the truth.

It is often stated that exit polls were very accurate in elections prior to 2004 but have deviated sharply from the recorded vote since. That is a misconception. UNADJUSTED exit polls have ALWAYS been accurate; they closely matched the True Vote Model in the 1988-2008 presidential elections. The adjusted, published exit polls have always matched the fraudulent RECORDED vote because they have been forced to. That’s why they APPEAR to have been accurate.

The Census Bureau indicates that since 1968 approximately 80 million more votes were cast than recorded. And these were just the uncounted votes. What about the votes switched on unverifiable voting machines and central tabulators? But vote miscounts are only part of the story. The True Vote analysis does not include the millions of potential voters who were illegally disenfranchised and never got to vote.

In 1988, Bush defeated Dukakis by 7 million recorded votes. But approximately 11 million ballots (75% Democratic) were uncounted. Dukakis won the unadjusted exit polls in 24 battleground states by 51-47% and the unadjusted National Exit Poll by 50-49%. The Collier brothers classic book Votescam provided evidence that the voting machines were rigged for Bush.

In 1992, Clinton defeated Bush by 5.8 million recorded votes (43.0-37.5%). Approximately 9 million were uncounted. The National Exit Poll was forced to match the recorded vote with an impossible 119% turnout of living 1988 Bush voters in 1992. The unadjusted state exit polls had Clinton winning a 16 million vote landslide (47.6-31.7%). The True Vote Model indicates that he won by 51-30% with 19% voting for third party candidate Ross Perot.

In 1996, Clinton defeated Dole by 8.6 million recorded votes (49.3-40.7%); 9 million were uncounted. The unadjusted state exit polls (70,000 respondents) had Clinton winning a 16 million vote landslide (52.6-37.1%). The True Vote Model indicates that he had 53.6%.

In 2000, Al Gore won by 540,000 recorded votes (48.4-47.9%). But the unadjusted state exit polls (58,000 respondents) indicated that he won by 50.8-44.4%, a 6 million vote margin. There were nearly 6 million uncounted votes. The True Vote Model had Gore by 51.5-44.7%. The Supreme Court awarded the election to Bush (271-267 EV). In Florida, 185,000 ballots were uncounted. Twelve states flipped from Gore in the exit poll to Bush in the recorded vote: AL AR AZ CO FL GA MO NC NV TN TX VA. Gore would have won the election if he captured just one of the states. Democracy died in 2000.

In July 2004 I began posting weekly Election Model projections based on the state and national polls. The model was the first to use Monte Carlo Simulation and sensitivity analysis to calculate the probability of winning the electoral vote. The final projection had Kerry winning 337 electoral votes with 51.8% of the two-party vote, closely matching the unadjusted exit polls.

The adjusted 2004 National Exit Poll was mathematically impossible; it was forced to match Kerry’s 48.3% recorded vote (the unadjusted NEP indicated that Kerry had 51.7%). The adjusted poll indicated that there were 52.6 million returning Bush 2000 voters (43% of the 122.3 million recorded). But Bush had just 50.5 million votes in 2000; only 48 million were alive in 2004. Assuming a 96% turnout, 46 million voted. Therefore, simple arithmetic shows that the adjusted NEP overstated the number of returning Bush voters by 6.6 (52.6-46) million. In order to match the recorded vote, there had to be an impossible 110% turnout of living Bush 2000 voters.

THE ULTIMATE PROOF THAT THE ELECTION WAS STOLEN IS CONFIRMED BY A) KERRY’S 4 MILLION NEW VOTER MARGIN (22 MILLION NEW VOTERS, NEARLY 60% FOR KERRY), B) 4 MILLION RETURNING GORE MARGIN AND C) 2 MILLION RETURNING NADER MARGIN. KERRY WON BY 10 MILLION VOTES.

The post-election True Vote Model calculated a feasible turnout of living 2000 voters based on Census total votes cast (recorded plus net uncounted), a 1.25% annual mortality rate and 98% Gore/Bush voter turnout. It determined that Kerry won by 67-57 million and had 379 EV. Kerry’s unadjusted state exit poll aggregate 51.0% share was close to his 51.7% unadjusted National Exit Poll share. He had 53.5% in the True Vote Model. There was further confirmation of a Kerry landslide.

Consider the adjustments made to the 2004 National Exit Poll crosstabs to force a match to the recorded vote.

Bush had a 48% national approval rating in the final 11 pre-election polls. The Final adjusted National Exit Poll was forced to indicate that he had a 53% approval rating. He had just a 50% rating in the unadjusted state exit poll weighted aggregate. Given the 3% differential, we can assume that the 48% pre-election approval rating was also inflated by 3% and was really 45% – a virtual match to the True Vote Model. The exit pollsters had to inflate Bush’s 48% pre-election average rating by 5% in the NEP in order to match the recorded vote. There was a 0.99 correlation ratio between Bush‘s state approval and his unadjusted exit poll share.

Similarly, the unadjusted state exit poll Democratic/Republican Party ID split was 38.8-35.1%. In order to force the National Exit Poll to match the recorded vote, it required a bogus 37-37% split. The correlation between state Republican Party ID and the Bush unadjusted shares was a near-perfect 0.93. This chart displays the state unadjusted Bush exit poll share, approval ratings and Party-ID.

The Final 2006 National Exit Poll indicated that the Democrats had a 52-46% vote share. The Generic Poll Trend Forecasting Model projected that the Democrats would capture 56.43% of the vote. It was within 0.06% of the unadjusted exit poll.

In the 2008 Primaries, Obama did significantly better than his recorded vote.

The 2008 Election Model projection exactly matched Obama’s 365 electoral votes and was within 0.2% of his 52.9% share (a 9.5 million margin). But the model understated his True Vote. The forecast was based on final likely voter (LV) polls that had Obama leading by 7%. The registered voter (RV) polls had him up by 13% – before undecided voter allocation. The landslide was denied.

The Final 2008 National Exit Poll was forced to match the recorded vote by indicating an impossible 103% turnout of living Bush 2004 voters and 12 million more returning Bush than Kerry voters. Given Kerry’s 5% unadjusted 2004 exit poll and 8% True Vote margin, one would expect 7 million more returning Kerry than Bush voters – a 19 million discrepancy from the Final 2008 NEP. Another anomaly: The Final 2008 NEP indicated there were 5 million returning third party voters – but only 1.2 million were recorded in 2004. Either the 2008 NEP or the 2004 recorded third-party vote share (or both) was wrong. The True Vote Model determined that Obama won by over 22 million votes with 420 EV. His 58% share was within 0.1% of the unadjusted state exit poll aggregate (83,000 respondents).

In the 2010 Midterms the statistical evidence indicates that many elections for House, Senate, and Governor, were stolen. The Wisconsin True Vote Model contains worksheets for Supreme Court and Recall elections. A serious analyst can run them and see why it is likely that they were stolen.

The 2012 Presidential True Vote and Election Fraud Simulation Model exactly forecast Obama’s 332 electoral vote based on the state pre-election polls.  Obama won the recorded vote by 51.0-47.2% (5.0 million vote margin) and once again overcame the built-in 5% fraud factor. The built-in True Vote Model projected that Obama would win by 56-42% with 391 electoral votes. But just 31 states were exit polled, therefore a comparison between the True Vote Model and the (still unreleased) state and national unadjusted exit polls (i.e. the red-shift) is not possible. Obama won the 11.7 million Late votes recorded after Election Day by 58-38%. In 2008, he won the 10.2 million late votes by 59-37%. The slight 2% margin difference is a powerful indicator that if a full set of 2012 unadjusted state and national exit polls were available, they would most likely show that Obama had 55-56% True Vote share.

In 2016 election analysts calculated that Clinton actually won by 292-246 based strictly on the unadjusted exit polls  which favored Clinton.  They focused on four states that Trump won: WI, NC, MI and PA. The analysts assumed that the exit polls were fairly conducted – just like they had been in the past. But Trump won the post election True Vote model by 48.5-44.3% with 351-187 EV

But why only recount states that Trump narrowly won? What about states he narrowly lost: NV, MN, NM, CO, NH?

https://richardcharnin.wordpress.com/2016/12/01/the-2016-presidential-recounts-why-not-add-these-six-states/

The  uadjusted polls also appear suspicious in  states where they closely matched the recorded vote:  CA IL MI TX MN WA NY. Clinton’s CA margin exceeded Obama’s in 2012 by an implausible 7%. Illegals were encouraged to vote by Obama.

TRACK RECORD
Election Model Forecast; Post-election True Vote Model

1988-2008 State and National Presidential True Vote Model

1968-2012 National Presidential True Vote Model

US Count Votes National Election Data Archive Project
Analysis of the 2004 Presidential Election Exit Poll Discrepancies

2004 True Vote Model
Kerry 51.8%, 337 EV (snapshot)
State exit poll aggregate: 51.7%, 337 EV
Recorded Vote: 48.3%, 255 EV
True Vote Model: 53.6%, 364 EV

2008 Election Model
Obama 53.1%, 365.3 EV (simulation mean)
Recorded: 52.9%, 365EV
State exit poll aggregate: 58.0%, 420 EV
True Vote Model: 58.0%, 420 EV

2012 Forecast and True Vote Model
Obama 51.6%, 332 EV (Snapshot)
Recorded : 51.6%, 332 EV
True Vote Model: 55.2%, 380 EV

2016 Election Model Forecast
Recorded Vote: Clinton 48.3-46.2%, Trump 306-232 EV
Recorded Forecast: Trump 44.4-42.9% with 306-232 EV
True Vote: Trump 48.5-44.3% with 351-187 EV

Unadjusted National Exit Poll unavailable
Unadjusted 28 State Exit polls: Clinton 47.9-44.7%

 

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Track Record: 2004-2012 Election Forecast and True Vote Models

Track Record: 2004-2012 Election Forecast and True Vote Models

Richard Charnin
Jan. 19, 2013

This is a summary of my 2004-2012 pre-election projections and corresponding recorded votes, unadjusted State and National exit poll vs. True Vote Model.

This spreadsheet contains the 1988-2008 unadjusted state and national exit polls and true vote model. https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=15

Note that the Election Model forecasts are based on final state pre-election Likely Voter (LV) polls, a subset of the total Registered Voters (RV) polled. The LVs always understate Democratic voter turnout; many new (mostly Democratic) voters are rejected by the Likely Voter Cutoff Model (LVCM). In addition, pre-election polls utilize previous election recorded votes in sampling design, rather than total votes cast. Total votes cast include net uncounted votes which are 70-80% Democratic. The combination of the LVCM and uncounted votes results in pre-election polls understating Democratic turnout – and their projected vote share.

2004 Election Model
Kerry Projected 51.8% (2-party), 337 EV (simulation mean), 322 EV snapshot
Adjusted National Exit Poll (BOGUS match to recorded vote): 48.3-50.7%, 252 EV
Unadjusted State exit poll aggregate: 51.1-47.6%, 349 EV snapshot, 336 EV expected Theoretical)
Unadjusted National Exit Poll: 51.7-47.0%
True Vote Model: 53.6-45.1%, 364 EV

2004 Election Model Graphs
State aggregate poll trend
Electoral vote and win probability
Electoral and popular voteMatch
Undecided voter allocation impact on electoral vote and win probability
National poll trend
Monte Carlo Simulation
Monte Carlo Electoral Vote Histogram

2006 Midterms
Democratic Generic 120-Poll Trend Projection Model: 56.4-41.6%
Adjusted Final National Exit Poll (Match BOGUS recorded vote): 52.2-45.9%
Unadjusted National Exit Poll: 56.4-41.6%
Wikipedia recorded vote: 57.7-41.8%

2008 Election Model
Obama Projected: 53.1-44.9%, 365.3 expected EV; 365.8 EV simulation mean; 367 EV snapshot
Adjusted National Exit Poll (Match BOGUS recorded vote): 52.9-45.6%, 365 EV
Unadjusted State exit poll aggregate: 58.1-40.3%, 419 EV snapshot, 419 expected EV
Unadjusted National Exit Poll: 61.0-37.5%
True Vote Model: 58.0-40.4%, 420 EV

2008 Election Model Graphs
Aggregate state polls and projections (2-party vote shares)
Undecided vote allocation effects on projected vote share and win probability
Obama’s projected electoral vote and win probability
Monte Carlo Simulation Electoral Vote Histogram

2010 Midterms Overview
True Vote Model Analysis

2012 Election Model
Obama Projected: 51.6% (2-party), 332 EV snapshot; 320.7 EV expected; 321.6 EV simulation mean
Adjusted National Exit Poll (match BOGUS recorded vote): 51.0-47.2%, 332 EV
True Vote Model 56.1%, 391 EV (snapshot); 385 EV (expected)
Unadjusted State Exit Polls: not released
Unadjusted National Exit Poll: not released

2012 Model Overview
Electoral Vote Trend
Monte Carlo Simulation Electoral Vote Frequency Distribution

 
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Posted by on January 19, 2013 in True Vote Models

 

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2012 Election Fraud: A True Vote Model Proof

2012 Election Fraud: A True Vote Model Proof

Richard Charnin
Jan. 2, 2013
Updated: Aug.31, 2015

An objective analysis of the 2012 election shows that Obama must have done much better than his recorded margin. The 2012 True Vote Model indicates that Obama had an approximate 55-43% True Vote (a 15 million margin) and overcame the systemic 4-5% red-shift fraud factor. He won the recorded vote by just 51.0-47.2% (a 5.0 million margin) .

Media Gospel
Media pundits, academics and politicians are quick to accept the recorded result in every election as gospel. But the landslide was denied, just like it was in 2008 and six previous elections.

Exit pollsters always assume that both prior and current elections were fair but that the exit poll samples were biased. So they adjust exit poll weights and vote shares to match the sacrosanct recorded vote. They never consider the possibility that the exit poll sampling was good but that the elections were fraudulent.

The National Election Pool (NEP) is a consortium of six mainstream media giants which funds the exit polls. In 2012, just 31 states were polled. This effectively prevents a calculation of the total aggregate vote share.

Unadjusted 2012 state and national presidential exit polls have not been made available. Furthermore, in another omission, the How Voted in 2008 category was not included in the adjusted National Exit Poll demographic cross tabs displayed on media polling websites.

Is it just a coincidence that the past vote has consistently been a key factor in proving systemic election fraud in every election since 1988? In order to match the recorded vote in 1988, 1992, 2004 and 2008, the National Exit Poll indicated millions more returning Bush voters from the prior election than actually voted. 

Why does the NEP place such onerous restrictions on exit poll transparency?  It’s bad enough that analysts never get to view raw unadjusted exit poll data. Why is the NEP hiding this critical information? There can only be one reason: the data would provide absolute proof that the elections were fraudulent. If election fraud was non-existent, the data would have been released. But a robust statistical analysis of the red-shift to the GOP in state and national unadjusted exit polls proves beyond all doubt that election fraud is systemic.

Conspiracy Theory?
Those not convinced by the overwhelming statistical and factual evidence and still maintain that election fraud is just a conspiracy theory are welcome to try and refute the following analysis.

Naysayers claim that Obama stole the 2012 election. They cite as proof the fact that he won 100% of the vote in 59 black Philadelphia precincts. They consider it impossible. They are wrong. It is entirely possible. This math proof will put an end to this canard.

If the 2008 election was not fraudulent, then the 2008 recorded vote (Obama had 52.9%, a 9.5 million vote margin) is a reasonable basis for estimating returning voters in 2012. Assuming plausible vote shares applied to returning and new voters results in a close match to Obama’s recorded margin.

On the other hand, if the 2008 election was fraudulent, then Obama’s 2008 unadjusted state 58.0% exit poll aggregate, 61.0% unadjusted National Exit Poll and 58.0% True Vote Model shares were essentially correct. Using the 58.0% share as the basis for estimating returning voters in 2012 (and applying the same plausible vote shares as above) Obama won the 2012 True Vote by 56.1-43.9% (2-party), a 15.5 million margin.

There are some who believe that Election Fraud was thwarted in 2012 by the Anonymous hack or government oversight. These factors may have prevented some late vote-rigging. But the True Vote Model and Late Vote results were consistent with 2008. Vote switching algorithms were in effect on Election Day in most states. Why should 2012 have been any different?

Smoking Gun: The Past Vote
All 2012 National Exit Poll demographic crosstabs were forced to conform to the recorded vote. About 80 questions were posed to 25,000 respondents, but the most important one is missing: Who did you vote for in 2008? The past vote question was always asked before 2012. In at least four presidential elections (1988, 1992, 2004, and 2008), the returning voter mix displayed in the adjusted NEP was mathematically (and physically) impossible. Each poll indicated that there were millions more returning Bush voters from the previous election than were still living – a clear indication of a fraudulent vote count.

Problem:Calculate by trial and error the average number of voters per Philadelphia division required for Obama to have 100% in 59 divisions. Assume that Obama had 97% of blacks  in 1700 divisions, 59 of which  voted 100% for Obama

Calculate the probability that 100% of voters in 59 Philadelphia divisions voted for Obama. Estimate an average of 182 voters/division. The  Margin of Error=3.22% for N=182 voters; Obama 97% share; 0.3 Cluster effect. Then there is  a 3.4% (1 in 29) probability that a division voted 100% for Obama ( 59 total, where 59 = 1700/29.)

The 2012 True Vote Model rectifies the NEP return voter anomaly by calculating feasible estimates of returning voters from the prior election.

Sensitivity Analysis
Pollsters and pundits and academics never analyze alternative returning voter turnout and corresponding vote share scenarios. Is it because a sensitivity analysis would reveal scenarios that they would rather not talk discuss?

The 2012 True Vote Model base case assumed that:
1. Obama won the 2008 True Vote: 58%-40.3%
2. A 95% turnout of Obama and McCain voters in 2012
3. Obama had 90% of returning Obama voters;7% of McCain
4. Obama had 59% of new voters; McCain had 41%
In this base case scenario, Obama had a 56.1% (two-party) True Vote Share and won by 15.5 million votes.

Romney needed to win 18% of returning Obama voters and 93% of returning McCain voters in order to match the recorded share (given the 2008 voter turnout assumption). In other words, there had to be an implausible 11% net defection of Obama voters to Romney.

Given the base case vote assumptions, Romney needed an implausibly low 72% turnout of Obama 2008 voters and a 95% turnout of McCain voters in order to match the recorded vote.

2008 National Exit Poll
To put the base case assumptions in context, let’s review the 2008 National Exit Poll. Obama had 89% of returning Kerry voters, 17% of returning Bush voters and 72% of those who did not vote in 2004. In order to match the recorded vote (Obama by 52.9-45.6%), the poll indicated an impossible 46% (60.3 million) of the 2008 electorate were returning Bush voters and just 37% (48.6 million) were returning Kerry voters. It implies that 103% of living Bush 2004 voters returned to vote in 2008.

On the other hand, assume a) that Kerry won the 2004 True Vote by 53.7-45.3% and therefore b) 47.5% of the 2004 electorate were returning Kerry voters vs. 40% Bush voters, then Obama won by 23 million votes with a 58.0% share.

The Late Vote – a True Vote Confirmation
The recurring pattern of Democratic presidential late vote shares exceeding the Election Day shares by approximately 7% is further confirmation of fraud. In 2012, Obama led 50.3-48.1% in the 117.4 million votes cast early and on Election Day. But he had a whopping 58.0-38.3% margin in the 11.7 votes recorded Late. Nearly half of his total margin came from late votes.

In 2008, Obama had 59% of 10.2 million late votes compared to 52.4% of votes cast early or on Election Day. Is it just a coincidence that he won the 2008 unadjusted state aggregate exit polls by a nearly identical 58.0-40.5% and the National Exit Poll by 61.0-37.5%? In 2012, there were just 31 adjusted state exit polls; unadjusted state and national poll results have not been released.

But is the late vote a legitimate proxy of the True Vote? To find out, we need to weight (multiply) each state’s late vote share by its total vote. In 2008, Obama won the weighted aggregate state late vote by 57.4-38.6%, within 1% of the weighted state exit polls and the True Vote Model. In 2012, he won the late vote by 54.0-41.8%. The 12.2% margin exactly matched the 2-party True Vote Model (56.1-43.9%). The fact that the weighted late shares matched the True Vote Model in both 2008 and 2012 is compelling evidence that the Late vote is fairly representative of the electorate.

Given Obama’s 58.0-38% margin for the 11.7 million late votes, this 2012 Vote share sensitivity analysis displays his total vote share over a range of Early and Election Day vote shares.

Red Shift
There was an overwhelmingly one-sided exit poll red-shift to the Republicans in all presidential elections since 1988. The Democrats won the state and national unadjusted exit polls by 52-42%. The True Vote Model indicates a 53-41% margin, yet they won the official recorded vote by just 48-46%. The final published exit polls are always adjusted to match the recorded vote – come hell or high water.

National Exit Poll Crosstab Adjustments
The 2012 National Exit Poll Party-ID category indicates a 39D-32R-29I split. Was the unadjusted Democratic share lowered to force a match to the recorded vote?

Let’s consider the 2004 and 2008 elections.The 2008 unadjusted National Exit Poll indicated a 45.5D-27.3R-27.2I Party-ID split. It was adjusted to 39/32/29 to force a match to the recorded vote.

In 2004, the Democrats led the pre-election Party ID polling by 38-35-27. The split was changed to 37-37-26 in the adjusted NEP to force a match to the recorded vote.

In 2004, Bush had a 48% average approval rating in 11 pre-election polls and a 50% rating in the unadjusted state exit poll aggregate. The rating was adjusted to 53% in the National Exit Poll to match the recorded vote.


2012 True Vote Model
Voted...2008 2012 2-party vote shares
2008 Implied Votes Mix Obama Romney
DNV.......... 10.4 8.20% 59.0% 41.0%
Obama...58.0% 67.6 53.3% 90.0% 7.00%
McCain..40.4% 46.9 37.0% 7.00% 93.0%
Other...1.60% 1.90 1.50% 50.0% 50.0%

Total…100% 126.8 100% 56.1% 43.9%
Votes…………..126.8 71.1 55.7

2012 Sensitivity Analysis
….Pct of returning Obama
…. 82.5% 90.0% 92.0%
%McCain
…..Obama 2-party Share
10% 53.1% 57.2% 58.3%
7% 51.9% 56.1% 57.1%
4% 50.8% 54.9% 56.0%
……. Margin
10% 7.8 18.2 21.0
7% 5.0 15.4 18.1
4% 2.1 12.5 15.3

Sensitivity Analysis I: 2008 WAS FRAUDULENT
Obama had 58.0% (True Vote)
Obama had 7% of returning McCain voters

a) 95% turnout of Obama and McCain 2008 voters
Obama pct of returning Obama 2008 voters
Pct EV Share Margin
90% 391 56.06% 15,365 True Vote
88% 371 54.97% 12,614
86% 333 53.89% 9,864
84% 318 52.80% 7,113
82% 315 51.72% 4,362 Recorded

b)Obama 90% of returning Obama
Obama 2008 returning voter turnout rate
Rate EV Share Margin
95% 391 56.06% 15,365 True Vote
90% 371 55.05% 12,807
85% 333 53.95% 10,032
80% 318 52.77% 7,018
77% 318 52.00% 5,083 Recorded

Sensitivity Analysis II: 2008 WAS NOT FRAUDULENT
Obama had 52.9% (recorded)
Obama had 7% of returning McCain voters

a) 95% turnout of Obama and McCain 2008 voters
Obama pct of returning 2008 Obama voters
Pct EV Share Margin
91% 332 52.16% 5,491 Recorded
90% 303 51.67% 4,238
88% 285 50.68% 1,730
86% 272 49.69% -777
84% 253 48.71% -3,285

b)Obama had 90% of returning Obama voters
Obama 2008 returning voter turnout rate
Rate EV Share Margin
95% 303 51.67% 4,238 Recorded
93% 303 51.25% 3,177
91% 285 50.82% 2,087
89% 285 50.38% 964
87% 272 49.92% -191

Late Vote Confirms the True Vote
Year 2pty Obama Repub Other Margin
2008 59.8 57.4 38.6 4.0 18.8 late
2008 59.0 58.0 40.3 1.7 17.7 true
2012 56.4 54.0 41.8 4.2 12.2 late
2012 56.1 55.0 43.0 2.0 12.0 true

Unadjusted 2004 National Exit Poll
2004 Sample Kerry Bush Other
Total 13,660 7,064 6,414 182
Share 100.0% 51.8% 46.9% 1.3%

Unadjusted 2004 National Exit Poll
2000 Turnout Mix Kerry Bush Other
DNV 23,116 18.4% 57.0% 41.0% 2.0%
Gore 48,248 38.4% 91.0% 8.00% 1.0%
Bush 49,670 39.5% 10.0% 90.0% 0.0%
Other 4,703 3.70% 64.0% 17.0% 19.0%

Total 125.7 100% 51.8% 46.9% 1.3%
Votes…… 125.7 65.1 58.8 1.8

Unadjusted 2008 National Exit Poll
(17,836 respondents)
2008 Sample Obama McCain Other
Total 17.836 10,873 6,641 322
Share 100.0% 61.0% 37.2% 1.8%

2008 Party ID
2008 Sample Dem Rep Other
Total 17,774 8,096 4,851 4,827
Share 100.0% 45.5% 27.3% 27.2%

Final 2008 National Exit Poll
(forced to match recorded vote)
Voted…2004 2008
2004 Implied Votes Mix Obama McCain Other
DNV……….. 17.1 13.0% 71.0% 27.0% 2.0%
Kerry…42.5% 48.6 37.0% 89.0% 9.00% 2.0%
Bush….52.9% 60.5 46.0% 17.0% 82.0% 1.0%
Other…4.60% 5.30 4.00% 72.0% 26.0% 2.0%

Total…100% 131.5 100% 52.87% 45.60% 1.54%
Votes…………. 131.5 69.50 59.95 2.02

How Voted in 2004
Voted Kerry Bush Other DNV Total
2004….1,815 1,614 188 561 4,178
Share…43.5% 38.6% 4.5% 13.4% 100%

2008 Unadjusted National Exit Poll
Voted…2004 2008
2004 Implied Votes Mix Obama McCain Other
DNV……….. 17.7 13.4% 71.0% 27.0% 2.0%
Kerry…50.2% 57.1 43.5% 89.0% 9.00% 2.0%
Bush… 44.6% 50.8 38.6% 17.0% 82.0% 1.0%
Other…5.20% 5.92 4.50% 72.0% 26.0% 2.0%

Total…100% 131.5 100% 58.0% 40.4% 1.6%
Votes………….. 131.5 76.3 53.0 2.2

2008 True Vote Model
(Returning voters based on 2004 True Vote)
Voted…2004 2008
2004 True Votes Mix Obama McCain Other
DNV………. 15.3 11.6% 71.0% 27.0% 2.0%
Kerry…53.7% 62.4 47.5% 89.0% 9.00% 2.0%
Bush….45.3% 52.6 40.0% 17.0% 82.0% 1.0%
Other…1.00% 1.16 0.90% 72.0% 26.0% 2.0%

Total…100% 131.5 100% 58.0% 40.4% 1.6%
Votes…………. 131.5 76.2 53.2 2.1

____________________________________________________________________

Track Record: Election Model Forecast; Post-election True Vote Model

2004 Election Model (2-party shares)
Kerry:
Projected 51.8%, 337 EV (snapshot)
Recorded: 48.3%, 255 EV
State exit poll aggregate: 51.7%, 337 EV
True Vote Model: 53.6%, 364 EV

2006 Midterms
Regression Trend Model Projected Democratic Generic share: 56.43%
Unadjusted National Exit Poll: 56.37%

2008 Election Model
Obama
Projected: 53.1%, 365.3 EV (simulation mean);
Recorded: 52.9%, 365 EV
State exit poll aggregate: 58.0%, 420 EV
True Vote Model: 58.0%, 420 EV

2012 Election Model
Obama Projected: 51.6% (2-party), 332 EV snapshot; 320.7 expected; 321.6 mean
Adjusted National Exit Poll (recorded): 51.0-47.2%, 332 EV
True Vote Model 56.1%, 391 EV (snapshot); 385 EV (expected)
Unadjusted State Exit Polls: not released
Unadjusted National Exit Poll: not released

 
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Posted by on January 2, 2013 in 2012 Election, True Vote Models

 

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The Late Recorded Votes: A confirmation of the True Vote?

The Late Recorded Votes: A confirmation of the True Vote?

Richard Charnin
Updated: Jan.7, 2013

The late vote timeline included in the 2012 True Vote Model shows that Obama’s lead increased dramatically after Election Day. He won the 11.7 million late votes recorded after Election Day by 58.0-38.3%, but led the first 117.4 million recorded by just 50.3-48.1%. Once again, as in every election since 2000, the Democratic late vote share exceeded the Election Day share by a substantial margin. What is the cause of this anomaly? Some possible reasons are given below.

Dave Leip’s US Election Atlas and Wikipedia provided daily state vote updates.

Obama vote share margins:
Election Day: 50.3-48.1% (2.2% of 117.45 million votes).
Late vote 58.0-38.3 (19.7% of 11.68 million votes).
Total vote: 51.03-47.19% (3.8% of 129.13 million votes.
Weighted late vote: 54.0%-41.8% (12.2%).
(Late state vote shares are weighted by total votes cast)

Obama 2-party shares and margins:
51.2-48.8% Election Day Recorded share (2.4%)
56.3-43.7% Late Vote share weighted by total recorded vote (12.6%)
52.0-48.0% Total vote (4.O%)
60.2-39.8% Unweighted Late Vote share (20.4%)
56.1-43.9% True Vote Model (12.2%)

2012 Late Vote Timeline
On……Obama led by…
Nov. 8 50.34-48.07% of 117.45 million recorded votes
Nov. 9 50.43-47.97% of 119.58 (2.13 late)
Nov.10 50.51-47.87% of 122.20 (4.75 late)
Nov.11 50.52-47.86% of 122.58 (5.13 late)
Nov.13 50.55-47.82% of 122.94 (5.49 late)
Nov.14 50.61-47.76% of 123.73 (6.27 late)
Nov.16 50.66-47.69% of 124.69 (7.24 late)
Nov.20 50.73-47.61% of 125.53 (8.07 late)
Nov.25 50.80-47.50% of 126.87 (9.41 late)
Nov.28 50.88-47.38% of 127.74 (10.29 late)
Nov.29 50.90-47.36% of 127.87 (10.42 late)
Dec.05 50.94-47.31% of 128.36 (10.90 late)
Dec.21 50.96-47.28% of 128.74 (11.28 late)
Final
Dec.31 51.03-47.19% of 129.13 (11.68 late)

Election Day and Late vote shares
(Late votes in thousands)
* indicates suspicious anomaly
…………….EDay Late Late Votes (000)
Total………..50.3% 58.0% 11,677

Alabama………39% 37% 312 *
Alaska……….41% 40% 80
Arizona………43% 47% 666 *
Arkansas……..37% 36% 25
California……59% 63% 3,609 *
Colorado……..51% 54% 222 *
Connecticut…..51% 59% 1,307 *
Delaware……..59% 80% 0
D. C…………91% 90% 50
Florida………50% 53% 182 *
Georgia………45% 49% 47 *
Hawaii……….71% 72% 0
Idaho………..32% 33% 45
Illinois……..57% 65% 130 *
Indiana………44% 49% 88 *
Iowa…………52% 63% 24 *
Kansas……….38% 37% 39
Kentucky……..38% 29% 117 *
Louisiana…….58% 41% 1
Maine………..56% 57% 64
Maryland……..62% 65% 236 *
Massachusetts…61% 55% 132 *
Michigan……..53% 71% 222 *
Minnesota…….53% 79% 6
Mississippi…..44% 46% 85
Missouri……..44% 71% 12
Montana………42% 40% 49
Nebraska……..38% 44% 27
Nevada……….52% 69% 3
New Hampshire…52% 35% 10
New Jersey……58% 61% 327 *
New Mexico……53% 60% 13
New York……..63% 68% 902 *
North Carolina..48% 48% -4 *
North Dakota….39% 15% 3
Ohio…………50% 59% 229 *
Oklahoma……..33% 32% 2
Oregon……….53% 58% 330
Pennsylvania….52% 43% 292 *
Rhode Island….63% 60% 29
South Carolina..44% 47% 111 *
South Dakota….40% 44% 0
Tennessee…….39% 40% 8
Texas………..41% 43% 53
Utah…………25% 23% 106
Vermont………67% 65% 61
Virginia……..51% 65% 160 *
Washington……55% 57% 1,217
West Virginia…36% 36% 29
Wisconsin…….53% 48% 15 *
Wyoming………28% 25% 3

No one knows what the unadjusted exit polls look like in 2012. And 19 states were not even exit polled. Maybe we’ll get to see the polls a year from now – when all talk of 2012 election fraud has died down.

The late votes can be viewed as a proxy for the unadjusted state exit polls. In 2008, 10 million late votes matched the polls. Unlike an exit poll survey, however, naysayers cannot use the worn out bogus claims that a) late poll “respondents” are lying about how they voted and b) there is a differential response: Democrats are more anxious to be interviewed than Republicans.

But all we have is the National Exit Poll which is always forced to match the recorded vote and shows that Obama was a 50-48% winner. All demographic crosstabs were forced to conform to the recorded vote. About 80 questions were asked of over 25,000 exit poll respondents, but the most important was missing: Who did you vote for in 2008: Obama, McCain or Other?

The past vote question has always been asked in prior exit polls. It is used as the basis for the True Vote Model to measure prior election voter turnout and vote shares in the current election. The returning voter mix displayed in the adjusted Final National Exit Poll has been determined to be impossible in at least four presidential elections – a clear indicator of a fraudulent vote count.

As in every presidential election since 1988, the Democrat Obama did much better than the recorded vote. If the Late Votes are representative of the total vote, they are another confirmation of systematic election fraud. Why would the late votes always show a sharp increase in the Democratic vote share?

In the 2000, 2004, and 2008 elections, late votes recorded after Election Day showed a dramatic increase in Democratic vote shares. The late votes closely matched the state and national exit polls and the True Vote Model. The anomaly is also apparently occurring in 2012.

2000: 102.6 million votes recorded on Election Day. Gore led 48.3-48.1%.
Gore had 55.6% of the 2.7 million late votes.

2004: 116.7 million votes recorded on Election Day. Bush led 51.6-48.3%.
Kerry had 54.2% of the 4.8 million late 2-party votes.

2008: 121 million votes recorded on Election Day. Obama led 52.3-46.3%.
Obama won 10.2 million late votes by 59.2-37.5%. He won the 131 million recorded votes by 52.9-45.6%, a 9.5 million vote margin. But he did much better in the unadjusted National Exit Poll: 61-37% (17,836 respondents, a 31 million vote margin. He also won the unadjusted state exit poll aggregate (82,388 respondents) by 58.0-40.5%, a 23 million margin. Obama had an identical 58.0% in the True Vote Model, exactly matching and confirming the state exit polls.

But this is the kicker: the exit polls and True Vote Model vote shares closely matched the 10 million late recorded votes!

To summarize Obama in 2008:
1- National Exit poll (17,836 respondents): 61.0%
2- State exit poll weighted aggregate (82,388 respondents): 58.0%
3- True Vote Model: 58.0%
4- Late vote (10.2 million): 59.2%
5- Recorded vote: 52.9%

The CNN 2008 Election site shows Obama winning by 66.88-58.43 million votes, an 8.45 million margin. The final recorded vote was 69.50-59.95, a 9.55 million margin. Why has CNN not updated the 2008 Election website to include the final 4.15 million votes? Obama won 63% of them.

– Could it be that since the winner has been decided, there is no longer an incentive on the part of the perennial vote thieves to continue switching late votes? Plausible.
– Could it be that the late votes are paper ballots (provisionals, absentees) and not from DREs? Absolutely.
– Could it be that the late votes are coming in from Democratic strongholds? Maybe some, but surely not all.

State vote totals show that the late votes are a reasonable representation of the total electorate. The deviation between the Late and Election Day recorded votes is less than 3% in 20 states. There are 8 in which the deviation exceeds 10% (4 for Obama and 4 for Romney). There are currently 12 with fewer than 3,000 late votes. View the data tables, bar chart and frequency chart in the 2012 Forecasting model.

The consistent Democratic late vote share discrepancies from the Election Day shares are not proof of fraud. But there is no reason why the phenomenon is ignored in the mainstream media and academia. Obviously, without having an accurate composition of the late vote demographics we cannot make a definitive judgment as to whether they are representative of the total electorate. But there are a number of reasons why Obama would be expected to do better in the late vote. The only question is how much better?

1)Late votes are cast on paper ballots, not DREs or optiscans. Therefore we would expect a higher Democratic share than on Election Day because voting machines are rigged. Check.

2)There is no incentive to fix the votes after the election. Check.

3)The increase in Democratic late vote share has occurred in each election since 2000, enforcing the case that it is a structural phenomenon. Check.

4)In 2008, Obama had a 59% share compared to 52% on Election Day. There were 10 million late uncounted votes or 7.8% of 131 million recorded. In 2004, there were 5 million late votes of 122 million (4%). In 2000, 3 million of 105 million (3%). The late vote percentage is rising faster than the increase in minority voters. Check.

5) The average late vote margin exceeded the recorded margin by 11%.
Margins: State Exit Poll aggregate,National Exit Poll,Late Vote share,Recorded share,Deviation
2000 5. 2. 10 0.5 9.5
2004 4. 5. 8. -2.4 10.4
2008 18 24 20 7.3 13.6
2012 na na 14 2.7 11.3

6)Blacks and Hispanics voted at a higher rate for Obama in 2012. Since the total vote declined by 7 million, there were fewer white voters, thus increasing Obama’s total share. Approximately 13% of 2012 voters were black and 10% Latino. Check.

7) Obama’s 2-party late vote shares far exceed his Election Day shares (see above).

Election Model Forecast; Post-election True Vote Model

2004 Election Model (2-party shares)
Kerry: 51.8%, 337 EV (snapshot)
State exit poll aggregate: 51.7%, 337 EV
Recorded Vote: 48.3%, 255 EV
True Vote Model: 53.6%, 364 EV

2008 Election Model
Obama: 53.1%, 365.3 EV (simulation mean);
Recorded: 52.9%, 365 EV
State exit poll aggregate: 58.0%, 420 EV
True Vote Model: 58.0%, 420 EV

2012 Election Model
Obama Projected: 51.6% (2-party), 332 EV snapshot; 320.7 expected; 321.6 mean
Adjusted National Exit Poll (recorded): 51.0-47.2%, 332 EV
True Vote Model 56.1%, 391 EV (snapshot); 385 EV (expected)
Unadjusted State Exit Polls: not released
Unadjusted National Exit Poll: not released

 
3 Comments

Posted by on November 9, 2012 in 2012 Election

 

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Perspectives on a New Exit Poll Reference

Perspectives on a New Exit Poll Reference

Richard Charnin

Oct. 30, 2012
Updated: Aug.22, 2013

My comments in bold follow selected paragraphs from Chapter 1 of a new text Exit Polls:Surveying the American Electorate, 1972-2010 by Samuel J. Best, University of Connecticut and Brian S. Krueger, University of Rhode Island.

“Despite the unique insights that exit polls can provide about the composition and preferences of voters, they are seldom used after the days immediately following an election. Once media organizations have tapped the exit polls for explanations of electoral outcomes, they often disappear from the public eye. Some scholars may use them over the next year or two to explore the voting behavior of certain subgroups, such as Hispanics, women, or young people, but for the most part they recede into memory, rarely used beyond the next national election.”

“Unfortunately, few efforts are made to consider the behavior of voters over time. Historical context typically centers on comparing an election to its most recent predecessor, such as contrasting the 2008 presidential election with the 2004 contest. Rarely are exit poll responses tracked and analyzed over time, leaving many important questions understudied. For example, how have various subgroups in the electorate evolved over time? Have their relative sizes in the active electorate increased or decreased? Have their voting patterns grown increasingly partisan or independent? Which subgroups in the electorate behave similarly through the years?”

I wrote Proving Election Fraud: Phantom Voters, Uncounted Votes and the National Exit Poll in 2010. My new book Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts was published in 2012.

The 1988-2008 State and National Presidential Exit Poll Spreadsheet Database is based on the Roper (University of Connecticut) election data archive.

Of the 274 state exit polls, 232 red-shifted to the Republican. A total of 135 exceeded the margin of error (14 would be expected at the 95% confidence level). Of the 135 polls, an astounding 131 red-shifted to the Republican, proving systemic election fraud beyond any doubt, The probability is ZERO (E-116).

“In the weeks and months that follow, exit polls are used time and again to give meaning to the election results. Newly elected officials rely on them to substantiate policy mandates they claim to have received from voters. Partisan pundits scrutinize them for successful and failed campaign strategies. Even political strategists use them to pinpoint key groups and issues that need to be won over to succeed in future elections.”

But what if the final, adjusted exit polls can be shown to be mathematically impossible? In the 1988, 1992, 2004, 2008 elections, the National Exit Poll had to be adjusted to match the recorded vote. This is standard operating procedure – and very few know of it. But in order to conform to the recorded vote in these four elections, there had to be millions more returning Bush voters than were still living. Obviously, an impossibility.Therefore, since the national exit polls were adjusted using impossible numbers, this is absolute proof that the recorded vote must also be impossible. Let’s look at the 2004 numbers.

The adjusted 2004 National Exit Poll indicated that there were 52.6 million (43% of 122 million recorded votes) returning Bush 2000 voters. But Bush had just 50.5 million recorded votes in 2000. Applying an estimated 5% voter mortality rate, 48 million Bush 2000 voters were living in 2004. Therefore, Bush needed a 110% turnout (52.6/48) turnout of his living 2000 voters to match the 2004 recorded vote, clearly a physical and mathematical impossibility. Assuming 98% turnout, there were only 47 million returning Bush voters. So where did the 5.6 million phantom voters come from?

In fact, Kerry won the unadjusted state and national exit polls. He won the unadjusted state exit poll weighted aggregate of 76,000 respondents by 50.97-47.71%.
UNADJUSTED NATIONAL EXIT POLL (13660 RESPONDENTS)
13660.. Kerry Bush...Other
Sample 7,064 6,414 182
Share 51.71% 46.95% 1.33%

UNADJUSTED NATIONAL EXIT POLL (12:22am vote shares)
(returning voters based on 2000 recorded vote)
2000 Turnout Mix Kerry Bush Other

DNV. 23.1 18.4% 57% 41% 2%
Gore 48.2 38.4% 91% 8% 1%
Bush 49.7 39.5% 10% 90% 0%
Other 4.7 3.70% 64% 17% 19%
Share 125.7 100% 51.75% 46.79% 1.46%
Votes 125.7 100% 65.07 58.83 1.84

TRUE VOTE MODEL (12:22am vote shares)
(returning voters based on 2000 True Vote)
2000 Turnout Mix Kerry Bush Other

DNV. 22.4 17.8% 57% 41% 2%
Gore 52.1 41.4% 91% 8% 1%
Bush 47.4 37.7% 10% 90% 0%
Other 3.9 3.10% 64% 17% 19%
Share 125.7 100% 53.57% 45.07% 1.36%
Votes 125.7 100% 67.36 56.67 1.71

ADJUSTED NATIONAL EXIT POLL (final adjusted vote shares)
(impossible 110% Bush 2000 voter turnout; forced to match recorded vote)
2000 Turnout Mix Kerry Bush Other Alive Turnout

DNV. 20.8 17.0% 54% 44% 2% - -
Gore 45.2 37.0% 90% 10% 0% 48.4 93%
Bush 52.6 43.0% 9% 91% 0% 47.9 110% impossible 2000 voters

Other 3.7 3.00% 64% 14% 22% 3.8 97%
Share 122.3 100% 48.27% 50.73% 1.00%
Votes 122.3 100% 59.03 62.04 1.22

“Unfortunately, these same exit poll results are not easily accessible to members of the public interested in dissecting them. After appearing in the next day’s newspapers or on a politically oriented website, they disappear quickly from sight as the election fades in prominence. Eventually, the exit polls are archived at universities where only subscribers are capable of retrieving the data. But nowhere is a complete set of biennial exit poll results available in an easy-to-use format for curious parties.”

I created the 1988-2008 state and national presidential exit polls spreadsheet database as an analytical resource using Roper as the data source. This graph summarizes the discrepancies between the exit polls and the recorded votes

“Second, and far more troublesome for the reputation of the exit polls, the preliminary exit poll results showed a partisan skew. They overstated Bill Clinton’s share of the vote by 2.5 points in the 1992 presidential race and understated George H. W. Bush’s share by 2.5 points, giving the impression that Clinton won by a far greater margin than the officially tabulated votes indicated.”

“The raw exit poll data had never been deemed “accurate” in the past prior to being weighted to the actual results, but with the release of early results, observable, but correctable, sampling errors gave the impression that the numbers were off.”

One very plausible reason that they were “off” were the 10 million net uncounted votes, the majority from minority precincts that are 90%+ Democratic. The voters were polled, but their votes were not counted. Clinton may have lost millions of other votes due to switched and stuffed ballots. In order to match the 1992 recorded vote, the Final National Exit Poll required that 119% of living Bush 1988 voters turned out in 1992.

“VRS claimed the Democratic overstatement in the raw exit poll data was due to partisan differences in the willingness of voters to complete the exit poll, not to a poor selection of precincts or differential response rates by age, race, or gender. Republicans simply refused to participate at the same rates as Democrats, resulting in there being fewer Republicans in the raw exit poll results than there should have been. Mitofsky speculated that the disparity was due to different intensities of support for the candidates—Democratic voters were just more excited about voting for Clinton than Republican voters were about voting for Bush and, as a result, were more motivated to communicate this message by filling out the exit poll questionnaire; others thought it was due to Republicans in general having less confidence in the mass media.”

Mitofsky may have “speculated” but there is no evidence that Democrats were more responsive to the exit pollsters. In fact, since 2000 response rates in GOP strongholds were higher than comparable Democratic rates. GOP exit poll and vote shares were positively correlated (.25) to state exit poll response. The average Democratic correlation was -0.26. Bush vote shares increased as response rates increased. In 2004, exit poll precinct data showed that response rates were higher in partisan Bush precincts.

“Despite the source of the partisan bias in the raw results, the exit polls were able to characterize accurately the voting patterns of demographic subgroups and partisan constituencies once they were weighted to match the official returns. The problem was that the data could not be corrected until the official results began coming in. As a result, the exit polls were susceptible to inaccurate vote projections on election night, especially early in the evening right after poll closings. Nonetheless, the cautious analysts at VRS still called all the races correctly in the 1992 election.”

The data could not be corrected until the official votes came in? Or was it that the data could not be rigged until the official votes came in? Of course the cautious analysts called the winner correctly – Clinton won easily – but they did not call the vote shares correctly. Clinton won by a much bigger margin than they said he did.

The 2000 Election Debacle
“Network competition to call winners culminated in the disastrous 2000 presidential election, when these systems of race projections broke down, and the networks wound up retracting their calls for the winner in Florida and presumptively the election, not once, but twice on election night. The trouble began early in the evening, when VNS alerted the networks around 7:50 p.m. that their statistical models predicted Al Gore the winner in Florida and that the networks should consider calling the state for Gore. This prediction took place even though only 4 percent of the actual vote had been counted and numerous precincts in the Florida panhandle, which happened to be in the central time zone, remained open until 8 p.m.”

If the exit polls show a clear winner – as they did in Florida – the fact that just 4% of the votes were recorded is irrelevant. The exit polls were completed by 7:50pm – and panhandle precincts were exit polled throughout the day. Calling the race 10 minutes before the polls closed was of no consequence. Gore won the Florida exit poll (1816 respondents) by a whopping 53.4-43.6%, far beyond the 3% margin of error.

“Less than ten minutes later, the decision desks at all the networks and the AP agreed with VNS and announced Gore the winner in Florida. Over the next hour-and-a-half, VNS discovered that vote-count data from Duval County had been entered incorrectly, making Gore appear as if he had many more votes than he actually did. After fixing this error, the statistical models used by VNS and decision desks at all the networks showed the race could no longer be projected safely for either candidate. By 10:18 p.m., all the networks announced they were moving the state back to the undecided category, prompting Jeff Greenfield of CNN to quip, “Oh waiter, one order of crow.””

Of the 185,000 spoiled ballots in Florida, 113,000 were double and triple punched – and Gore’s name was punched on 75% of them. Almost 30,000 overpunched ballots were in Duval County which has a large black population. Could the spoiled ballots have been the cause of the Duval adjustments?

“At 2:15 a.m., Fox News called Florida and the presidency for Bush. Within five minutes, NBC, CNN, CBS, and ABC followed suit, announcing that Bush would be the forty-third president of the United States. Meanwhile, VNS and the AP chose not to call the race in Florida a second time, wary of the volatility in the data with the contest that close. During the next couple hours, new errors were discovered. VNS had underestimated the number of votes remaining to be counted. Two counties—Volusia and Brevard—had mistakenly entered their vote totals in favor of Bush. Once these mistakes were corrected, the race narrowed considerably, so much so that Bush’s lead was inside the margin of error.”

What about the -16,022 Gore votes in Volusia? The media commentators called it a computer “glitch”. They always do. They never consider that it could have been the result of malicious coding.

“An embarrassment early in the evening had turned to a humiliation by the end, leading NBC News anchor Tom Brokaw to remark, “We don’t just have egg on our face; we have an omelet.”

“Despite the resulting indignation, the exit polls were not responsible for the erroneous second call. In fact, the exit polls were at that point no longer part of the estimation models, having been replaced by actual vote counts—incorrect as they were in some cases—over the course of the evening.”

Replaced by actual vote counts? That is what the perpetrators wanted to do all along. The media never reported that Gore won the unadjusted state exit polls by 50.8-44.5% (5.5 million votes) – way beyond the MoE. Or that he won the unadjusted National Exit Poll 48.5-46.2%, a 2.5 million margin. There were 5.4 million net uncounted votes. The True Vote Model indicates that he had 50.7%.

“However, the partisan skew in the measure of aggregate vote choice was higher than in previous elections. The preliminary data overstated the difference in the George W. Bush-John Kerry vote on election night by 5.5 percentage points, predicting a 51- to 48-percent advantage for Kerry rather than a 50.5- to 48-percent win for Bush.”

Kerry won the unadjusted state exit poll aggregate by 51.0-47.9%. He won the unadjusted National Exit Poll by 51.7-47.0%. The True Vote Model indicates that he had 53.5%.

“This was the highest error in the preliminary results since the 1992 election and double the error found in the previous two presidential elections. The discrepancy between the preliminary exit poll findings and the final election results was even greater in the competitive states. The exit polls predicted a Kerry victory in four states—Ohio, Iowa, New Mexico, and Nevada—in which Bush won, and overstated Kerry’s support by 11 percentage points in Ohio, 9 points in Pennsylvania, and 8 points in Florida.”

“Considering the closeness of the election, the exit polls seemed to suggest that Kerry was capable of winning the 2004 election. Political observers used these differences between the preliminary exit polls and the final results to support allegations of vote rigging and fraud in precincts deploying electronic voting machines, particularly in Ohio, where the state’s twenty-seven electoral votes, enough to change the winner of the Electoral College from Bush to Kerry, was decided by 118,775 ballots.”

The adjusted National Exit Poll indicated that there were 52.6 million returning Bush 2000 voters. But in the 2000 election, Bush had just 50.5 million recorded votes. He needed a 110% turnout of living Bush 2000 voters to match the 2004 recorded vote. Clearly a physical and mathematical impossibility.


“Steven Freeman of the University of Pennsylvania calculated the odds of the exit polls in Ohio, Pennsylvania, and Florida being as far off the final outcome as they were as 662,000 to 1.”

Note: The state exit poll margin of error (MoE) includes a 30% cluster factor.
In Pennsylvania, there were 2107 respondents (2.75%).
Kerry won the poll by 56.6-42.9%, an 800,000 vote margin.

In Ohio, there were 2020 respondents (2.82%).
Kerry won the poll by 54.1-45.7%, a 450,000 vote margin.

In Florida, there were 2862 respondents (2.38%).
Kerry won the poll by 50.8-48.2%, a 200,000 vote margin.

“The National Election Data Archive, a nonpartisan group of mathematicians and statisticians promoting election reform, found that twenty-two of the forty-nine precincts in Ohio polled by Edison/Mitofsky had reported Kerry vote share results that had less than a 5 percent chance of occurring, based on the state’s exit polls.”

“Rep. John Conyers, D-Mich., even used the exit polls as the basis for holding congressional hearings on vote irregularities in Ohio. Edison/Mitofsky disputed these charges in a follow-up report, contending that precincts with electronic voting had virtually the same rates of error as those using punch card systems.”

“They again attributed the bias to within-precinct error—error due to a systematic bias in the selection of voters within a precinct—and not to bias in the selection of precincts themselves. Bush voters were more likely to refuse to participate in the exit polls than Kerry voters. They hypothesized that the result was a function of the disproportionate numbers of interviewers under age thirty-five who administered the exit poll. Young people had more problems securing participation from voters than older respondents, perhaps because they were correctly perceived to have been more likely to have voted for Kerry.”

That is the same old discredited and debunked Reluctant Bush Responder canard that was refuted by the exit pollsters own data which showed that exit poll response was highest in partisan Bush precincts – and in strong Republican states.

“Edison/Mitofsky also found that voting patterns within electoral groups were accurate once they were weighted to the official results. They found no evidence that the distribution of presidential vote choices within various demographic groups was biased, despite the vote choice of exit poll respondents overall overstating Democratic support.”

The “overstating” of 56 Kerry respondents for every 50 Bush respondents was not due to differential response; it was due to the fact that Kerry won the election with about 53% of the vote.

“Since 2004, less controversy has surrounded the exit polls. No serious technical problems have surfaced during the last three elections, enabling the media to prepare analyses of the outcome in a timely manner. Leaks of early wave findings have been contained. The preliminary exit polls have continued to overstate support for Democratic candidates; however, the final vote counts have had such large winning margins that the projected outcomes were no different.”

There was less controversy in 2008 only because Obama won by 9.5 million recorded votes. But the exit polls indicated that he won by nearly 23 million; the landslide was denied. The level of fraud was equivalent to 2004. Obama won the aggregate of the unadjusted state exit polls (82,388 respondents) by 58.0-40.5%. He won the unadjusted National Exit Poll (17,836 respondents) by 61-37%. He won the independent True Vote Model with 58.0%, exactly matching the state exit polls. He won the recorded vote by just 52.9-45.6%. How does one explain the massive discrepancy? It was surely not due to differential response.

Selection of Precincts
“National exit pollsters choose precincts by taking stratified probability samples in each of the states before drawing a national subsample from the state samples. This process involves sorting the precincts in each state into different categories or strata to guarantee that particular groups are represented adequately. To begin, precincts in each state are initially grouped into two strata according to their size to ensure the selection of smaller precincts.”

“Within each of these size strata, precincts are categorized by geographic region, usually between three to five regions in each state. For each state geographic region, precincts are ordered by their percentage vote for one of the major political parties in a previous election. Precincts are sampled from these strata with probabilities proportionate to the total votes cast in them in a prior election, so that every precinct has as many chances of being picked by pollsters as it has voters. The samples drawn in each state are then combined, and a national sample of precincts is selected from them using a previous presidential race to determine the relative number of precincts chosen from each state.”

Sampling voters in proportion to the recorded vote in prior elections is a persistent source of bias, since the recorded votes were fraudulent and favored the Republicans. So the sampled exit polled precincts were over-weighted for the GOP.

“Typically, the total number of precincts selected in the national exit poll is between 250 and 300. Ultimately, the number of precincts chosen represents a tradeoff between sampling error and financial constraints. Research by Edison/Mitofsky has shown that the number of precincts selected has not been responsible for the Democratic overstatements that have continually appeared in the exit polls.”

“For example, they found that for the 2004 election the actual distribution of the presidential vote in the precincts used in the exit poll samples did not differ significantly from the actual vote distribution nationwide. In fact, these precincts overstated support for the Republican candidate, George W. Bush, but only by 0.4 points, on average, across the states.”

Mitofsky believed that the exit poll precinct samples were perfect. But he also hypothesized that 56 Democrats responded for every 50 Republicans – even though his own data indicates that response rates were higher in partisan Bush precincts.

“Refusal rates, or for that matter miss rates, are not necessarily problematic, as long as the propensity of different groups to participate does not vary. However, if one group is more or less likely than other groups to complete exit surveys, their responses will be over or under-represented, thereby biasing estimates for the overall electorate. For example, the partisan overstatement repeatedly found in the national exit polls over the past several decades appears to be due to the greater willingness of Democratic voters to complete the exit polls, compared with their Republican counterparts. However, once this discrepancy has been corrected by weighting the exit polls to correspond with the actual vote, there has been no evidence that the vote estimates within groups are biased.”

Greater Democratic willingness to be exit polled is a myth -not a fact. The exit pollsters own data shows otherwise. In 2000, 2004 and 2008, Republican exit poll shares and vote shares were positively correlated (.25) to state exit poll response. Bush vote shares increased as response rates increased, refuting the Reluctant Republican Responder hypothesis. US Count Votes did a comprehensive analysis of the 2004 exit poll discrepancies which disproved the exit pollster’s reluctant Bush responder hypothesis.

“National exit pollsters account for early/absentee voting by conducting telephone surveys in states where the rates of early voting are highest. VNS first incorporated early/absentee voting in 1996, surveying voters in California, Oregon, Texas, and Washington. By 2008, NEP was conducting telephone surveys in eighteen states, including Oregon, Washington, and Colorado, where the proportions of early voting were so high that no in-person exit polls were conducted on election day.”

Early voting data in the 2008 election indicates that Oregon, Washington, and Colorado had the lowest red-shifts. Was it just a coincidence that the states with the highest early voting rates were the ones which most closely matched the unadjusted exit polls?

Take the Election Fraud Probability Quiz.

Election Model Forecast; Post-election True Vote Model

2004 (2-party vote shares)
Model: Kerry 51.8%, 337 EV (snapshot)
State exit poll aggregate: 51.7%, 337 EV
Recorded Vote: 48.3%, 255 EV
True Vote Model: 53.6%, 364 EV

2008
Model: Obama 53.1%, 365.3 EV (simulation mean);
Recorded: 52.9%, 365 EV
State exit poll aggregate: 58.0%, 420 EV
True Vote Model: 58.0%, 420 EV

2012 (2-party state exit poll aggregate shares)
Model: Obama 51.6%, 332 EV (Snapshot)
Recorded : 51.6%, 332 EV
True Vote 55.2%, 380 EV

 
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Posted by on August 18, 2012 in Election Myths, Media

 

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