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Category Archives: Election Myths

The myth: HRC/FBI/DOJ/Deep State thought Clinton would win easily

Richard Charnin
May 1, 2018

The myth that Clinton won the popular vote by nearly 3 million is parroted daily by pundits, even Trump supporters. Clinton won a fraudulent recorded popular vote, but Trump won the True Vote. It’s 2018 and the pundits still fail to recognize the historical fact that the recorded vote is never the same as the True Vote. It’s past time for a great awakening.

Exposing the 2016 Popular Vote Myth

It is established fact: HRC stole the primary from Bernie Sanders. Her approval ratings were 10% lower than Sanders. On the other hand, Trump won the GOP primary easily. Hillary knew she would lose to Trump in a fair election, so she also needed to rig the general.

Clintonistas/DNC Illegally Stole the Democratic Primaries from Bernie Sanders

The MSM inflated Clinton’s pre-election polls to set the stage.

2016 Pre-election Polls in 16 Battleground states were biased for Clinton

Democrats were over-weighted, Independents under-weighted.

2016 Election Model Forecast

HRC approval polls were the lowest of any presidential candidate.
https://docs.google.com/spreadsheets/d/1R9Y3ae2uyW8SUxVUnnOt9ZyvheAxa0fAhesAw_nhciM/edit#gid=34911100

HRC internal polls probably showed her losing.Trump internal polls probably showed him winning. He warned about a rigged election in the debates and said he might contest if he lost. Clinton ridiculed Trump for bringing up election fraud. She said we must trust the final result while cheating in the debates (Donna Brazile).

She tried to steal the election (rigged voting machines, illegals, dead voters). But Trump had too big a lead. https://www.theepochtimes.com/voting-machines-in-16-states-tied-to-george-soros-ally_2176907.html

The Democratic base was shattered. Sanders voters defected to Trump and Jill Stein or did not vote. Trump had the momentum after Sept.1. He won late deciders easily.
https://docs.google.com/spreadsheets/d/1R9Y3ae2uyW8SUxVUnnOt9ZyvheAxa0fAhesAw_nhciM/edit#gid=793126276

Clinton joined Stein in recounts of states Trump won. But they did not call for recounts in states Trump lost. https://richardcharnin.wordpress.com/2016/12/01/the-2016-presidential-recounts-why-not-add-these-six-states/

HRC paid for the phony salacious Dossier. The FBI/DOJ/MSM was panicking. HRC needed a dramatic turnaround. She had to derail Trump with Russiagate. She claimed Russia hacked the DNC for Wikileaks.

The DNC used Crowdstrike to examine the server. The FBI never examined the contents.
https://www.zerohedge.com/news/2017-03-24/what-crowdstrike-firm-hired-dnc-has-ties-hillary-clinton-ukrainian-billionaire-and-g

William Binney, the NSA technical developer (retired) and VIPS proved it was a Seth Rich leak, not a hack.

Russian tampering with the election?

The Mueller investigation found NO COLLUSION, NO OBSTRUCTION.

My Books
Trump Won the True Vote: Polling Anomalies, Democratic Defections, Independents and Late Undecided Voters
77 Billion to One: 2016 Election Fraud
Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts
Proving Election Fraud: Phantom Voters, Uncounted Votes and the National Exit Poll
Reclaiming Science: The JFK Conspiracy

 
 

CLINTON DID NOT WIN THE POPULAR VOTE: UNADJUSTED EXIT POLLS AND RECORDED VOTES ARE BOGUS

Richard Charnin
Sep. 29, 2017

77 Billion to One: 2016 Election Fraud
Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts
Proving Election Fraud: Phantom Voters, Uncounted Votes and the National Poll
LINKS TO  POSTS

This is an analysis of Party-ID, recorded vote shares and unadjusted State Exit Polls. It indicates that Clinton did not win the popular vote by 2.8 million. In fact, she did not win the popular vote.

According to the 2016 Census, 87.3% of registered voters turned out.
If 6% of Democratic voters stayed home because the DNC rigged the primary, then 85% of Democrats, 91% Republicans and 87% Independents voted.

2016 National
Party-ID….Dem Rep Ind

Exit Poll 36.0 33.0 31.0%
Gallup….31.0 28.0 41.0

28 Exit Poll states Party-ID 
WtdAvg 37.4 31.8 30.8%
Average 35.3 32.5 32.2
Gallup.. 31.8 28.9 39.3 (wtd average)
Gallup.. 30.0 29.6 40.4 (average)

Clinton won the recorded vote by 65.6-62.8  million (48.3-46.2%)

a) In the 28 states exit polled (110.7 million votes),
Clinton won the unadjusted exit polls by 54.9-48.2 million (49.6-43.6%).
She won the recorded vote by 54.5-50.0 million (49.2-45.2%).

b) In the 28 states after adjustments for Gallup Party-ID and voter turnout,
Clinton wins by 52.1-51.6 million (47.1-46.6%).

c) In the 23 states that were not exit polled (25.5 million votes),
Trump won by 12.8-11.1 million (50.4-43.7%).

d) The 51 state adjusted total (136.2 million votes):
Trump wins by: 64.4-63.2 million (47.2-46.4%).
Note: the analysis does not adjust the recorded (bogus) state exit poll vote shares. It does not adjust for the effects of disenfranchised or illegal voters or purged voting rolls or votes flipped at the voting machines and central tabulators.

 

2012 returning
 Voter turnout    
 Recorded    95%  95%  95%
2012 Mix Clinton Trump Other
Obama 44.12% 88% 7% 5%
Romney 40.80% 6% 90% 4%
Other 1.54% 45% 45% 10%
DNV (new) 13.54% 46.4% 41.9% 11.7%
 Match Recorded Calc share 48.25% 46.17% 5.58%
  Calc Vote 65.72 62.90 7.60
Recorded  48.25% 46.17% 5.58%
  Vote (mil.) 65.72 62.89 7.60
  Margin 2.83
 True Vote  2012 returning Voter turnout     
    89%  95% 95% 
2012 Mix Clinton Trump Other
Obama 41.33% 86% 7% 7%
Romney 40.80% 5% 90% 5%
Other 1.54% 40% 40% 20%
DNV (new) 16.32% 43% 46% 11%
Share 45.22% 47.74% 7.04%
  Vote (mil.) 61.60 65.03 9.59
  Margin   3.43

The bogus claim that Clinton won the popular vote is quoted ad nauseam by so-called “experts” in the media, academia and corrupt politicians. They are complicit in spreading this disinformation along with the fully discredited meme of a Russian “hack” designed to steal the election from Hillary. There is not one iota of proof.

I have written three books in which I cited pristine unadjusted exit polls to prove fraud. I believe they accurately represented the True Vote – up until the 2016 presidential election. Just because exit polls have proven to be accurate in the past (most recently in the 2016 Democratic primary) does not mean they were accurate in the 2016 election. The fact that Hillary won the popular recorded vote by 2.8 million does not mean she won the True Vote. They are never the same.

The “experts” still maintain the fiction that Clinton won the primary by 3 million votes. But the recorded vote is NEVER equal to the true vote. For some reason, talking heads never mention that simple fact. President Obama said it was not possible to steal an election. They think we are all stupid. Election Fraud is always an inside job.

The following states flipped to Trump from the unadjusted exit poll to the recorded vote and the Gallup-adjusted exit poll: FL MI NC PA WI
Minnesota flipped to Clinton.

California (3.77), Illinois (0.72) and New York (0.78) provided 5.27 million of Clinton’s adjusted margin in the 28 states. Trump won the other 25 states by 3.7 million votes.

Wisconsin
Trump did better in the Gallup-adjusted poll than the unadjusted exit poll and recorded vote.

Unadjusted Exit Poll: Clinton 48.2-44.3% (118,000 votes)
Recorded Vote: Trump won 47.2-46.3% (23,000 votes)

CNN Adjusted Exit Poll: 35Dem-34Rep-31 Ind
Trump wins: 48.5-46.3% (67,000 votes)

Gallup Adjusted: 30.1Dem-31.9Rep-38.1Ind
Trump wins: 49.8-44.5% (157,000 votes)

WI Gallup Clinton Trump Johnson Stein
Dem…. 30.10% 91.0% 7.0% 1.0% 1.0%
Rep….. 31.85%  6.0% 90.0% 3.0% 0.0%
Ind….. 38.05% 40.0% 50.0% 6.0% 2.0%
Share 100.0% 44.5% 49.8% 3.5% 1.06%
Votes.. 2,976. 1,325. 1,482…105.. 32

Scroll to row 150 to view the state data: adjusted and recorded Party-ID and vote shares. https://docs.google.com/spreadsheets/d/1R9Y3ae2uyW8SUxVUnnOt9ZyvheAxa0fAhesAw_nhciM/edit#gid=857963642

 
2 Comments

Posted by on September 29, 2017 in 2016 election, Election Myths

 

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Response to Nate Cohn of the NY Times

Response to Nate Cohn of the NY Times

Richard Charnin
Updated: July 1,2016

Richard Charnin

Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts
Proving Election Fraud: Phantom Voters, Uncounted Votes and the National Poll
LINKS TO  POSTS
Democratic Primaries spread sheet
From TDMS Research: Democratic 2016 primaries

Ever since the 2000 election, exit poll naysayers have stated a) Edison Research claims that their exit polls aren’t designed to detect fraud; b) the sample size is too small and c) the questions are too lengthy and complex. 

Sample size? Big enough so that the MoE was exceeded in 12 of 25 Democratic primary exit polls – a 1 in 4 trillion probability. Questions too lengthy? You mean asking males and females who they voted for? Not designed to detect fraud?  That is true;  unadjusted exit polls are adjusted to match the corrupt recorded vote – and cover up the fraud

In his recent NY Times article,  Nate Cohn reverts to classic exit poll naysayer talking points that have been debunked long ago. I thought I was done debunking their posts.

Nate must be unaware of this fact: According to a recent Harvard study, the US ranks last (#47)  in election integrity. http://thefreethoughtproject.com/land-free-ranks-dead-west-fair-elections/

According to Nate, the exit polls are always wrong. He maintains that they were wrong in the 2000 and 2004 elections and that Bush won both elections fairly; there was no fraud. It is common knowledge that Bush stole both elections. This has been proven by  the mathematically impossible exit poll discrepancies, the True Vote Model and Cumulative Vote Share analysis. Unadjusted exit polls were close to the True Vote. The discrepancies were due to corrupted vote counts, not bad polling. 

It is important to keep in mind that historical  evidence of fraud is based on a recurring pattern: The vast majority of exit polls that exceed the margin of error  favor the progressive candidate. Virtually all exit polls shift to the establishment candidate in the recorded vote. 

Nate ignores or is ignorant of the overwhelming evidence proving that the Democratic primary was stolen. He cannot refute these facts:  

 Sanders’ exit poll share exceeded his recorded share in 24 of the 26 primaries exit polled. The probability is 1 in 190,000.  

– Sanders exit poll share exceed his recorded share by more than the margin of error in 11 of the 26 primaries. The probability is 1 in 77 billion. 

Is the exit poll shift to Clinton just pure luck? Or is something else going on? Let’s review and debunk Nate’s comments.

  • I didn’t write about this during the primary season, since I didn’t want to dignify the views of conspiracy theorists. But they’re still going. The exit polls are a sufficient basis to make this determination, in the eyes of the conspiracists, because exit polls are used internationally to detect fraud. They’re supposedly very accurate.

Note the immediate use of the term conspiracy theorist; a sure sign of an Internet troll. But Nate is not a troll; he’s writing for the NY Times.

  • All of this starts with a basic misconception: that the exit polls are usually pretty good. I have no idea where this idea comes from, because everyone who knows anything about early exit polls knows that they’re not great. The 2000,2004, 2008- exit polls were biased. Kerry and Gore both lost.
  • In 2004,  the exit polls showed John Kerry easily winning an election he clearly lost — with both a huge error and systematic bias outside of the “margin of error.” The national exits showed Kerry ahead by three points (and keep in mind the sample size on the national exit is vastly larger than for a state primary exit poll) and leading in states like Virginia, Ohio and Florida — which all went to George W. Bush.
  • The story was similar in 2000. The early exit polls showed Al Gore winning Alabama, Arizona, Colorado and North Carolina. Mr. Bush won these states by between six and 15 points.  
  • In 2008 the exit polls showed a pretty similar bias toward Barack Obama.
  • The same thing happened in 1996. It was actually even worse in 1992. The exit polls had Bill Clinton winning Texas, which went to George H.W. Bush, and basically everywhere. 

Clinton won in 1992 and 1996 by far greater margins than  recorded.  https://docs.google.com/spreadsheets/d/1EWaKPDUolqbN7_od8sSTNMRObfUidlVPRBxeyyirbLM/edit#gid=15

The allegations are remarkably consistent. They go like this: Mr. Sanders did better in the early exit polls than he did in the final result. Therefore, Mrs. Clinton probably stole the election. The exit polls are a sufficient basis to make this determination, in the eyes of the conspiracists, because exit polls are used internationally to detect fraud. They’re supposedly very accurate and “well controlled” (where this phrase comes from, I don’t know).  Sources for exit poll error — even more than in an ordinary poll: Differential non-response, Cluster effects, Absentee voters aren’t included  Exit polls can be very inaccurate and systematically biased. 

The  differential response canard was disproved in 2004 by the exit pollsters own data:
Reluctant Bush ResponderEvaluation of Edison Mitofsky Election System 2004

Nate claims he has no idea where the  “misconception” that exit polls are accurate comes from.  They come from the experts cited below –  not from the controlled MSM. Nate calls these experts “conspiracy theorists”; his basic misconception is assuming  there is no such thing as Election Fraud. 

Nate states that the sources of exit poll errors are greater than in “ordinary” polls. His claim that exit poll non-response, cluster effect and absentee voters are not considered is false;  these factors are used in weighting the sample.  An exit poll cluster effect (typically 30%) is added to the theoretical margin of error. And of course, in an exit poll,  unlike pre-election polls, voters are asked who they just voted for.

What about sources and methods of election fraud? What is the motivation of  the MSM in forcing the unadjusted exit polls to match corrupted vote counts?

  • Exit polls can be very inaccurate and systematically biased. With this kind of history, you can see why no one who studies the exit polls believes that they can be used as an indicator of fraud in the way the conspiracy theorists do.

Nate expects rational viewers to believe that experts who study exit polls are conspiracy theorists because they have concluded that the polls are indicators of fraud. Does he truly believe these experts are delusional and/or incompetent in assuming that exit poll discrepancies (which exceed the margin of error) raise legitimate questions as to the likelihood of fraud? 

Pollsters ask males and females in foreign countries the question “Who Did You Vote For” to check for possible election fraud.  They ask the same question in the U.S. The difference is that here they essentially cover-up the fraud by adjusting the responses to match the recorded vote – and always assume ZERO fraud.

  • Why are exit polls tilted toward Sanders? Young voters are far more likely to complete the polls. Voter registration files are just starting to be updated. Sanders is a candidate with historic strength among young voters.

That is pure conjecture  and not based on factual evidence. But this is not conjecture: more Sanders than Clinton voters (young and old)  were disenfranchised. But Nate doesn’t mention that fact?  What about all of those independents and Democrats who never got to the polls because of  voided registrations, long lines and closing of polling places?

  • There are other challenges with exit polls in the primaries. Usually, the exit polls select precincts by partisanship — ensuring a good balance of Democratic and Republican precincts. This helps in a general election. It doesn’t do as much good in a primary.

Nate does not know how the precincts were selected. It’s proprietary information.   Why won’t the exit pollsters tell us which precincts were polled ? Since they don’t, we must assume they have something to hide. The pollsters (actually the MSM) do not want analysts to compare precinct votes to the exit poll response. It’s clear that they might find discrepancies which indicate a high probability of vote miscounts.

Exit poll naysayers won’t dare mention the THIRD-RAIL of American politics:  Election Fraud.  They do not even concede that election fraud is a likely cause of the exit poll discrepancies. They just assume the exit polls are always wrong and that there is no such thing as Election Fraud. How ridiculous is that?

 Election Fraud is as American as apple pie. Read what the true experts have to say who you arrogantly dismiss as Conspiracy Theorists. The true conspiracy is not a theory but a fact: the mainstream media is complicit in covering up Election Fraud.

Election experts:

Debunking exit poll naysayers:

An Open Letter to Salon’s Farhad Manjoo
An Open Letter to John Fund (WSJ): Election Fraud, not Voter Fraud
An Open Letter to Mark Blumenthal at Pollster.com
Debunking Mark Blumenthal’s Critique of the RFK Rolling Stone Article
Response to the Mark Lindeman’s TruthIsAll FAQ
A Reply to Nate Silver’s “Ten Reasons Why You Should Ignore Exit Polls
2016 Election fraud: Response to Joshua Holland 
Bob Fitrakis: flunking Joshua Holland in Stat 101

Election fraud posts since 2004:

Mathematical Modeling of Voting Systems and Elections: Theory and Applications
Why Won’t the National Election Pool Release Unadjusted Exit Polls?
Fixing the Exit Polls to Match the Policy
Avoiding Election Fraud: Forecasters. Political Scientists, Academics and the Media
Election Fraud: What the Media wants us to believe

Election Fraud: The 2016 Democratic Primaries
Democratic Primaries: Election Fraud Probability Analysis
April 4 Exit poll anomalies (continued)

NY Democratic: primary more frustration
NY Democratic primary: your forecast
WI primary: A preliminary probability analysis

Democratic primary quiz
NY Democratic primary quiz
NY Democratic: primary more frustration
NY democratic primary: your forecast
WI primary: A preliminary probability analysis

AZ primary: Voter suppression in Maricopa County
Super Tuesday: 5 Democratic primaries, exit poll discrepancies/win-probabilities
MI primary: Bernie did better than the recorded share indicates
MA Democratic primary; a stolen election

1988-2008 unadjusted Presidential Exit Polls: 52-42% Democratic margin

1988-2012 Presidential Election Fraud Exit Poll Database
2004: Overwhelming Statistical Proof of a Stolen Election
Election Fraud Analysis: A Historical Overview
Election Fraud: An Introduction to Exit Poll Probability Analysis
Perspectives on an Exit Poll Reference Text

2014 Governor Election Models: TVM, CVS, VTM, Census votes cast
A Compendium of Election Fraud Links
Avoiding Election Fraud: Forecasters. Political Scientists, Academics and the Media

Footprints of Election Fraud: 1988-2008 State Exit Poll Discrepancies
Monte Carlo Simulation: 2004 Presidential Pre-election and Exit Polls
An Electoral Vote Forecast Formula: Simulation or Meta-analysis not required
The unadjusted 2004 National Exit Poll: closing the book on “False Recall”
True Vote Graphics

Unadjusted Exit Poll Probability Analysis Links
Election Fraud: Uncertainty, Logic and Probability
A Model for Estimating Presidential Election Day Fraud
2000-2012: Monte Carlo Electoral Vote Simulation
2004: Simple Arithmetic Proof that Bush Stole the election

2004: The “Game” Debate
Why did the Networks Cancel Exit Polls in 19 States?
2000: Unadjusted Exit Polls indicate Gore won by 51-45% (5-7 million votes)
2004: True Vote Model Sensitivity Analysis: Kerry Landslide
A Conversation about the 2004 Election

Simple Numerical Proof of 2004 Election Fraud
Returning 2000 and New Voters: Proof that Kerry Won
Online Book: Confirmation Of a Kerry Landslide
2008: To believe Obama by just 9.5 million-votes,,,

Proof that Obama won by much more than 9.5 million votes
2008 Unadjusted Exit Polls Confirm the True Vote Model
1988-2008 State Uncounted Votes and Exit Poll Analysis
The True Vote Model:  A Mathematical Formulation

True Vote Model: Probability Sensitivity Analysis
An Introduction to the True Vote Model
Election Fraud Quiz
Election Fraud Quiz II

 

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Election Fraud: What the Media wants us to believe

Richard Charnin
Jan.23, 2016

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

Election Fraud and the Media

The media wants you to ignore the Unadjusted exit polls because they claim that they do not represent the actual vote counts.

The media maintains that ADJUSTED exit polls will always converge to the recorded vote count which they want you to believe is always accurate.

The media claims that the unadjusted exit polls have been shown to be grossly inaccurate in all presidential elections since 1988. And the pattern has persisted in congressional and primary elections.

The media claims that the recorded votes are official and  tell us how people really voted and that we should not believe the unadjusted exit polls. Systemic election fraud is a myth. If it were true, the media would have reported it, just like they reported on Acorn.

The National Election Pool claims that the number of states exit polled in 2012 was cut to 31 because of lack of funds and expect us to believe this canard.

The media lauds voting machines, claiming they are faster and more accurate than humans. But the media does not tell you that programmers know how to code 1+1 =3.

Even though we cannot view the proprietary software code, we should accept the Diebold machine counts as being accurate. The fact that the code is proprietary does not mean that there is something to hide.

Media pundits, pollsters and academics ignore election fraud, implicitly assuming that the Fraud Factor is ZERO – an unscientific, faith-based rationale for adjusting exit polls to match the recorded vote.

The media wants you to believe that the exit polls are always wrong:
Recorded Vote = Unadjusted Exit poll + Exit Poll error
Final Exit Poll = Recorded Vote

The media does not want you to know that the recorded vote is fraudulent:
Recorded Vote = Unadjusted Exit Poll + Fraud Factor

The corporate media says that in 2008, Obama won the recorded vote by 9.5 million with a 53% share. But the media never mentioned that the unadjusted state exit polls indicated that Obama won by 23 million votes with a 58.0% share. Or that he won the National Exit Poll of 17,836 respondents with 61% and a 30 million vote margin.

In 2004, the corporate media claimed that Bush was the winner by 3.0 million votes and that the exit polls “behaved badly” and misled us into believing that Kerry was the winner by at least 6 million votes (52-47%).

In 2000, the media failed to mention that the unadjusted state exit polls showed that Gore was a 50-46% winner by 5 million votes – not his 540,000 recorded margin. And that Gore had at least 70% of 175,000 uncounted, spoiled ballots in Florida.

These facts have NEVER been disclosed by the media:
1) In 1988-2008, 135 of 274 unadjusted state exit polls exceeded the margin of error, of which 131 red-shifted to the Republican. The joint probability of this occurrence is ONE in TRILLIONS.  That’s ZERO.

2) The unadjusted 1988-2008 State and National exit polls showed the Democrats won by 52-42%. They won the recorded vote by just 48-46%. The probability is ZERO.

The media claims it is all just “voodoo math” by conspiracy theorists. But the media never did the math  since it would reveal that state and national unadjusted exit poll discrepancies from the recorded vote results in ZERO probabilities – proving systemic election fraud.

The media would rather maintain the myth of fair elections than actually investigate..

 
 

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Exit Pollsters at Edison Research: Never Discuss the Election Fraud Factor

Richard Charnin
July 20 2015

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

Frustrated voters who have seen their elections stolen need to know the facts. The corporate media never discusses Election Fraud – the third-rail of American politics. But it is no longer the dirty little secret it was before the 2000 election.

This is an analytic overview of Historical Election Fraud: https://richardcharnin.wordpress.com/2013/01/31/historical-overview-of-election-fraud-analysis/

Edison Research conducts exit polls. In this report, ER once again fails to mention the Election Fraud factor, which has skewed the True Vote in national, state and local elections for decades. http://statistical-research.com/wp-content/uploads/2014/08/Probability-Based-Exit-Poll-Estimation.pdf

In all exit polls, the pollsters adjust returning voters and/or vote shares to match the recorded vote. EDISON RESEARCH MAKES THE INVALID ASSUMPTION THAT THE RECORDED VOTE IS THE TRUE VOTE. IT IS AN UNSCIENTIFIC MYTH WHICH ONLY SERVES TO PERPETUATE FRAUD.

The following is a summary of the major points in the Edison Research article. My comments are in bold italics.

Edison: Of the surveys there were 19 states where the sample size was too small for individual state demographic or other breakouts.
That is absolute nonsense. In 2012, the National Election Pool (NEP) of six media giants which funds the exit polls said it did not want to incur the cost, so they would not run exit polls in 19 states. That was a canard. Could it be that the NEP and the pollsters did not want the full set of 50 state exit polls to be used in a True Vote analysis? The continued pattern of discrepancies would just further reveal built-in systematic fraud. That is also why the question “How Did You Vote in 2008” was not published along with the usual cross tabs. The “How Voted” crosstab is the Smoking Gun of Election Fraud. In every election since 1988, the crosstab illustrates how pollsters adjust the number of returning Republican and Democratic voters (as well as the current vote shares) to match the recorded vote.

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



Edison: The majority of interviews are conducted in-person on Election Day in a probability sample that is stratified based on geography and past vote.
The past vote is the bogus recorded vote which favors the Republicans. Any stratification strategy is therefore biased and weighted to the Republicans.

Edison: The goal in this paper is not to provide a comprehensive and exhaustive discussion of the intricacies of the operational and statistical aspects of an exit poll but to provide additional discussion on various ways to incorporate probability distributions into an exit poll framework. The core of this discussion is based on discrete data in the exit poll. The examples used in this paper will be based on the data obtained from the 2012 presidential election and will specifically address the use of the Dirichlet and Normal distributions.
There is nothing intricate about forcing unadjusted exit polls to match the recorded vote. It is quite simple. And it happens in every election.

How does Edison explain the massive exit poll discrepancies?

– In 2008, Obama had 61% in the National Exit Poll (17836 respondents) and 58% in the weighted aggregate of the state exit polls. But he had a 52.9% recorded share. The probability of the discrepancy is ZERO.

– In 2004, John Kerry had 51.7% in the unadjusted National Exit Poll (13660 respondents)s. He led the state aggregate by 51.1-47.6%. But Kerry lost  the recorded vote by 50.7-48.3%.

– In 2000, Al Gore led the unadjusted National Exit Poll by 48.5- 46.3%. He led the state aggregate polls by 50.8-44.4% (6 million votes). But Gore was held to a 48.4-47.9% (540,000 vote margin) in the recorded vote.

Edison: A useful characteristic relating to probability distributions is the ability to use known data and then simulate from the posterior distribution. Using the exit poll framework, the statewide candidate estimates can be used and applied using the Dirichlet distribution approach. This means that the estimates from each state can be used to determine the probability that a given candidate will win each state. With the probability of success established for each state we can incorporate these probabilities into a winner-take-all Binomial distribution for all 50 states and the District of Columbia.
A simulation is not required to calculate the expected electoral vote. The expected EV is the product sum of the state win probabilities and corresponding EVs.
EV = SUMPRODUCT[prob(i) * EV(i)], where i =1,51.

In the 2012 True Vote Election Model, pre-election state win probabilities were calculated based on final Likely Voter (LV) polls. The model exactly projected Obama’s 332 EV. But Obama’s True Vote was much better than his recorded share. Note: LVs are a subset of Registered Voter (RV) polls which eliminate new, mostly Democratic, “unlikely” voters.
https://richardcharnin.wordpress.com/2012/10/17/update-daily-presidential-true-voteelection-fraud-forecast-model/

Edison: Clearly, ‘calling’ a national election based purely on sample data is not the most favorable strategy due to sampling variability. However, updating the probability that a candidate will win with additional known data in each of the given states will decrease the variability in the posterior distribution. This can be accomplished by using additional known prior data or, as is often the case in elections, by adding the final precinct election results provided shortly after the polling places close.

This is all good theoretically, but it assumes that the final precinct data has not been manipulated. In any case, a 10 million trial simulation is overkill. Only 500 Monte Carlo trials are necessary to calculate the probability of winning the electoral vote.

Edison: Due to the nature of elections, informed priors are often available and can be incorporated into the estimates to improve the probability distribution. In this way, specific models can be developed to handle states with more or less available prior data and improve the overall model.
Again, no mention of the votes being flipped in the precincts.

Edison: We can take the currently collected data and model the results using other quantities that are available. In some ways, due to the nature of linear regression, prior information is already implicitly included in exit poll regression models.
But the prior election returning voter mix in five presidential elections was mathematically and physically impossible. The exit polls indicate that there were more returning Nixon and Bush voters from the prior election than were actually still alive. This is absolute proof that the published exit polls were adjusted to match vote-miscounts. Garbage in, garbage out.

Edison: There are two primary goals that are addressed by regression models in this paper:
1) general understanding of the data within a given state. In other words identifying variables that aid in a linear prediction of the candidate’s vote; and
2) predicting y, given x, for future observations.
Which data? The adjusted demographic data or the actual pristine data?
If Y = f(X), then X should not be forced to fit the recorded result.

Edison: For the purposes of this paper the sample of polling locations using the final end of night results are used as the response variable. Generally for all states past data tends to be a very good predictor of current results. In some states there are other predictors (e.g. precinct boundary changes, current voter registration, weather, etc.) that work well while in other states those same predictors provide no additional information and make the model unnecessarily complex.
But past data does not reflect the prior True Vote, so any regression analysis cannot predict the True Vote. It will however predict the bogus, recorded vote.

Edison: Again, the regression model presented here is an example model used for demonstration purposes (i.e. no formal model selection procedure was used). Furthermore, for this same purpose the non-informative prior is used. It’s clear from the output of the regression summary that there is a strong effect for 2008 candidate vote percentage, precincts with high Democrat vote in 2008 tend to have a very predictable Democrat vote in 2012. As one would expect the 2012 exit poll results have a strong effect when predicting the final polling location results. This example regression model for Florida is provided in Equation 2.
E (CANDj |x,θ) = β0 +β1 ·CANDEP2012j + β2 ·CAND2008j

All this is saying that a candidate’s vote share is predictable using regression analysis based on the 2008 recorded vote and 2012 adjusted precinct exit poll data. But if the precinct data is biased; the projection will reflect the bias. And the cycle continues in all elections that follow.

Edison: We can check to see if the observed data from the polling places are consistent with the fitted model. Based on the model and the predictive distribution, the model fits quite well without outliers in any of the precincts.
Of course the model will fit the bogus recorded vote quite well because it was forced to match the recorded vote.But what if the observed recorded precinct vote data is manipulated?

Edison: Several important conclusions about the analysis of exit poll data can be drawn from this review of approaches using probability distributions. First, it is clear that there are many probability distribution components to an exit poll.
But the prior information (recorded vote and adjusted exit polls) used in the probability analysis is bogus as long as there is no consideration of the Election Fraud Factor.
Recorded Vote = True Vote + Fraud

Edison: This research on exit polling serves as an exploration of ways to investigate and analyze data and to provide alternate, complementary approaches that may be more fully integrated into standard election (and non-election) exit polling. These procedures are only a few of the many ways that can be used to analyze exit poll data. These approaches provide an alternate way to summarize and report on these data. It also provides additional visualization and ways to view the data and how the data are distributed.
But the core problem is not addressed here. All alternative models are useless if they are based on prior and current recorded vote data which has been corrupted.

Edison: Further topics include small sample sizes, missing data, censored data, and a deeper investigation into absentee/early voting. Additionally, these approaches can be used to investigate various complex sample design techniques (e.g. stratified, cluster, multi-phase, etc.) and evaluate how the designs interact with probabilistic approaches in an exit polling context. Further hierarchical modeling may provide additional insight into the complexities of the exit poll data.
These sample design techniques are all based on recorded vote data. Why are pristine exit polls always adjusted (forced) to match the Election Day recorded vote to within 0.1%?
Proof: Unadjusted Exit Polls are forced to match the Recorded vote:
https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=15

 

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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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Florida 2014 Governor True Vote/Exit Poll Analysis Indicates Fraud

Florida 2014 Governor True Vote/Exit Poll Analysis Indicates Fraud

Richard Charnin
Nov.14, 2014
Updated: Sept.28, 2015

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

For the first time since 2000, I did not plan on forecasting the 2014 election or run a post-election True Vote analysis. Systemic Election Fraud has been proven beyond any doubt, so why bother? Nothing has changed; the media and congress refuse to investigate. They continue to promote the myth that the recorded vote is the True Vote and Election Fraud does not exist.

But I decided to analyze a few close, disputed elections.

In the 2014 FL Governor election, Scott(R) defeated Crist(D) by 64,145 votes out of 5.95 million cast (48.1-47.1%). Third-party candidates had 4.8%.

In 2010, Scott defeated Sink(D) by 62,000 votes (49.6- 48.4%). Sink won the unadjusted exit poll (3,150 respondents): 50.8-45.4-3.8%. The margin of error was 2%.

The fact that the 2014 2-party share exactly matched 2010 is a red flag by itself. Crist won the 2-party True Vote by 52.0-48.0%.

Cumulative Vote Share analysis in the largest counties indicated the usual pattern of increasing GOP vote shares in larger (generally Democratic) precincts:

The key to understanding that elections are rigged is to take a close look at the exit polls. All exit poll crosstabs must be adjusted in order to force the poll to match the recorded vote. In the “How did you Vote in the Last Election” question, there are two sets of adjustments: a) how returning voters from the prior election voted and b) how returning and new voters in the current election voted. Generally, the most flagrant adjustment is made to the percentages of how they voted in the prior election.

Since unadjusted exit polls are not released until years later, we only have the adjusted published polls. The pattern never changes: exit polls are adjusted to match the recorded vote. It is standard operating procedure. The pollsters claim the matching is to correct polling error. Pollsters and media pundits want the public to believe the myth: recorded vote count is pristine and there is zero fraud. But there is no longer any doubt. Election fraud is pervasive and systemic.

The 2014FLGov spreadsheet contains the following worksheets:
– 2014 National House Exit Poll (‘2014 NEP’)
– 2010 Florida Exit Poll (‘2010 FL EP’)
– 2014 Florida Exit Poll (‘2014 FL EP’)
– 2014 FL County Vote vs. 2010 (“Counties’)
– 2014 True Vote Model (‘True Vote’)
– 2014 Florida Cumulative Vote Shares

Cumulative Vote Share analysis shows that Scott gained vote share going from small to large precincts in virtually all counties. This is counter-intuitive. The largest precincts are generally in Urban areas which are heavily Democratic.

................ Crist cumulative precinct vote shares
County..........Votes...25.% 50.% 75.% 100% % Chg VoteChg

Brevard.........207,638 45.6 44.2 44.5 43.8 -1.8 -3,737
Broward.........457,344 71.8 71.0 71.0 69.7 -2.1 -9,604
Dade............509,738 60.9 60.7 60.4 59.8 -1.1 -5,607
Duval...........257,773 56.0 46.5 45.1 43.3 -12.7 -32,737
Hillsborough....350,022 57.4 55.7 54.1 51.5 -5.9 -20,651

Lee.............201,416 45.2 43.1 41.6 39.4 -5.8 -11,682
Marion..........112,571 45.9 44.2 41.9 41.2 -4.7 -5,291
Orange..........292,584 64.6 60.1 58.6 56.2 -8.4 -24,577
Palm Beach......407,070 61.7 62.4 61.9 60.6 -1.1 -4,478
Pinellas........328,201 61.2 58.9 56.7 56.0 -5.2 -17,066

Polk............177,609 48.6 47.4 46.4 44.7 -3.9 -6,927
Volusia.........165,064 51.2 51.8 49.4 48.1 -3.1 -5,117

Total.........3,467,030 58.7 56.8 55.8 54.4 -4.3 -147,475


County CVS graphs
https://docs.google.com/spreadsheets/d/17naKWzaLDkRaYfgiTAJfkJ5pFDoI_rv4HXfXcLyD4Ls/edit#gid=318098598

2014 NEP (forced to match the recorded vote)
This sheet contains a selected set of crosstabs (demographics). The Gender demographic is within 0.6% of the recorded vote because it was forced to match the vote. The exit poll margin of error was approximately 2%. The probability of a 0.6% deviation is close to zero. The deviation illustrates that the pollsters forced the match. But that’s not news. It’s standard operating procedure – and unscientific. It’s no different then a serial thief daring the police to stop him. But they never do even though they have the statistical evidence of fraud and a signed confession.

Florida 2010 Exit Poll (forced to match the recorded vote)
Scott won by 49.6-48.4%, a 62,000 vote margin. But Sink (D) won the unadjusted exit poll by 283,000 votes (50.8-45.4%, a 6.6% margin discrepancy). There were 3,150 exit poll respondents and a 2.3% poll margin of error. Sink had a 99% win probability. But the poll was forced to match the recorded vote.

Just as in presidential election exit polls, the returning 2008 voter percentages were implausible. In the ’Voted in 2010′ crosstab, 47% of 2010 voters were returning Obama voters and 47% were returning McCain voters. But Obama won the Florida 2008 unadjusted exit poll by 6% So how does one explain the equal 47% mix of returning voters? This is the standard ‘tell’: the mix is adjusted to maximize the Republican vote and minimize the Democratic vote. The mix and the vote shares were changed to reflect the 2008 unadjusted exit poll.
Sink is the winner of the True vote by 50.8-45.4%

2010 Unadjusted Exit Poll
................Sink Scott Other
Respondents.....1600 1431 119
Poll Share......50.8% 45.4% 3.8%
Poll Vote.......2683 2400 200
Margin..........283

2010 True Vote
2008...........Vote Mix Sink Scott Other
Obama...........989 49.7% 88% 10% 2%
McCain..........848 42.6% 7% 87% 2%
Other...........220 6.0% 53% 44% 3%
DNV..............34 1.7% 53.0% 44.0% 3%
True Vote.......1991
Respondents....1991 100% 50.8% 45.4% 3.8%
Votes...................5282 2683 2399 200
Margin 195

2010 Exit Poll (adjusted to match recorded vote)
2008............Mix Sink Scott Other
Obama...........47% 88% 10% 2%
McCain..........47% 11% 87% 2%
Other............3% 31% 67% 2%
DNV..............3% 31% 67% 2%
Total..........100% 48.4% 49.6% 2.0%
Votes.................. 2556 2620 106
Margin -64

Florida 2014 Exit Poll (forced to match the recorded vote)
The How Voted in 2010 crosstab was not listed, but we have the True Vote model. The returning voter mix was changed to reflect the 2010 unadjusted exit poll. Crist is the winner of the True vote by 52-48%.

Party ID
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

Counties
There were nearly 500,000 more voters in 2014 than 2010. Presumably, this increase in turnout would be expected to help Crist. As mentioned, Sink won the True Vote in 2010. But Scott’s 2014 margin increased by 5,000 votes. This is counter-intuitive; strong turnout always favors the Democrats.

The True Vote Model
The model data was updated for 2014 using 2010 returning and new voters. The assumptions for the base case scenario:
1) Sink had a 52.2% True Vote share in 2010
2) In 2014, there was a 93% turnout of living 2010 voters
3) Crist had 92.5% of returning Sink voters
4) Crist had 6.9% of returning Scott voters
5) Crist had 54% of new voters

In the Base Case scenario, Crist had a 52.0% share and won by 224,000 votes. The Sensitivity analysis shows Crist’s total vote share and margins over a range of 18 scenarios. He won 17.

1988-2008 Presidential Elections
A comprehensive analysis of 274 unadjusted 1988-2008 state and 6 national presidential exit polls proved systemic election fraud. The Democrats led the recorded vote by 48-46%, but led the exit polls by a whopping 52-42%. The True Vote Model matched and therefore confirmed the exit polls.

The Adjusted 2004 National Exit Poll indicated that 52.6 million of 2004 voters (43%) were returning Bush 2000 voters and just 37% were returning Gore voters. But this is impossible since Bush had just 50.5 million votes in 2000. Approximately 2 million died and 1 million did not return to vote in 2004. Therefore 5 million phantom Bush voters were required in order to match the recorded vote. Recall that Gore won the popular recorded vote by 540,000 (he actually won by 3-5 million True Votes). The exit pollsters switched 471 (6.7%) of Kerry’s 7,064 responders (of 13660 polled) to Bush.

The Adjusted 2008 National Exit Poll indicated that 60 million (46%) of the 131 million who voted in 2008 were returning Bush 2004 voters and just 49 million (37%) were returning Kerry voters. In other words, in order to match the 2008 recorded vote, there had to be 12 million more returning Bush 2004 voters than returning Kerry voters. But Bush won the bogus 2004 recorded vote by just 3 million! Kerry won the True Vote by close to 10 million. He won the unadjusted state and national exit polls by 6 million. Therefore Obama won the True Vote in 2008 by 22 million, not the 9.5 million recorded.

The pattern is clear. It’s not even close.

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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Wisconsin 2014 Governor True Vote/Exit Poll Analysis Indicates Fraud

Wisconsin 2014 Governor True Vote/Exit Poll Analysis Indicates Fraud

Richard Charnin
Nov.19, 2014
Update: Aug. 16, 2016

Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts
Election Fraud: True Vote Models, State and National Unadjusted Exit Polls
LINKS TO WEB/BLOG POSTS FROM 2004

After 12 years of posting election fraud statistical models, I decided not to forecast the 2014 election or do a post-election True Vote analysis. Systemic Election Fraud was  proven beyond any doubt, so why bother? Nothing has changed, the media remains mute on the fraud and congress refuses to do anything about it.

I  had worked closely with Wisconsin election reform activists on the 2011 Supreme Court election, the state recalls and Walker recall.   When I was asked to look into the 2014 WI governor election, I felt like Al Pacino in Godfather III: Just when I thought I was out of it, they pulled me back in again. Since I decided to bypass 2014, I did not even know who was running against Walker.

The key to understanding how elections are rigged is to study the exit polls and cumulative vote shares.The pattern keeps repeating: exit polls are adjusted to match the recorded vote. It’s a fact. The pollsters admit it, but claim it is to correct the errant polls.  The assumption is that the recorded vote count is pristine and there is no fraud. At least that is what the pollsters and pundits would like us to believe.

Unadjusted exit polls are not released until years later, so we are left with the adjusted polls (national, state, governor) for clues. In order to adjust the exit poll to match the recorded vote, the returning voter mix from the previous election and/or each candidate’s share of returning and new voters must be changed. All crosstabs must be adjusted. I have stated this often in posts as far back as 2004 as well as in my books. In turned out that the 2014 WI election was 2012 deja vu all over again.

To analyze the 2014 Wisconsin Governor race, I created 2014WIGov.  It contains the following worksheets (sheet names in quotes):
– 2014 National House Exit Poll (‘2014 NEP’)
– 2014 Wisconsin Gov. Exit Poll (‘WI Exit Poll’)
– 2014 Wisconsin County Vote vs. 2012 Recall Vote (“Counties’)
– 2014 Wisconsin Governor True Vote Model (‘True Vote’)

View the: 2014 Wisconsin Governor True Vote Model

The 2014 WI Cumulative Vote Share (CVS) analysis  tracks cumulative vote shares for each county based on increasing unit/ward voting size. The odd pattern of increasing Walker vote shares in large Democratic counties is similar to the 2012 WI recall. This counter-intuitive trend is highly indicative of fraud. View the  2014 Wisconsin Governor Cumulative County/Ward Vote shares and graphs

2014 National Exit Poll (forced to match the recorded vote)
This sheet contains a selected set of cross tabs (demographics). The Gender demographic is within 0.1% of the recorded vote. The theoretical margin of error was approximately 2%. The probability of the 0.1% adjusted exit poll deviation from the recorded vote is close to zero – only because the pollsters forced the match. But that’s not news. It’s standard operating procedure -and obviously unscientific. It’s like a serial thief daring the police to stop him, but they don’t even though they have his fingerprints.

WI Exit Poll (forced to match the recorded vote)
Like virtually all exit polls, it was forced to match the bogus recorded vote by adjusting the number of returning voters to favor the GOP. Returning Walker voters comprised 50% of the 2014 vote total while Barrett voters at 35%. The 15% differential is much higher than Walker’s 7% recorded margin in 2012. But consider that Barrett likely won the 2012 True Vote by 6% – and a whopping 21% discrepancy in margin. Just as in every presidential exit poll, the returning voter percentages were implausible. How could there be a 15% excess of returning Walker 2012 voters over returning Barrett voters?

In the “How Voted in 2012” cross tab, vote shares are missing for Other (3%) and New Voters (DNV 11%). The result is a Walker landslide by 55.4-43.1%, a whopping 12.3% margin. But he had a bogus 52.9% recorded share. The two basic clues that the 2014 election was fixed are obvious from the adjusted exit poll:
1) The 2012 returning voter mix is highly implausible.
2) Vote shares for 14% of the 2014 electorate are not available.

The standard election fraud “tell” is that the returning voter mix has been adjusted to increase the Republican share. When the mix is changed to a feasible Barrett/Walker 45/41% mix, Burke is the winner by 52.3-47.3%

WISCONSIN 2014 EXIT POLL (forced to match recorded vote)
GENDER..........Pct Burke Walker
Male............49% 39.0% 60.0%
Female..........51% 54.0% 45.0%
Total..........100% 46.7% 52.4%
Recorded........... 47.1% 52.9%
Difference........ -0.46% -0.54%
VOTED IN 2012 RECALL (suspicious turnout in 2014 and 14% na)
2012……………….. Pct Burke Walker
Tom Barrett……..35% 96.0% 04.0%
Scott Walker…….50% 05.0% 94.0%
Other ………………3% 50.0% 50.0% (na, set to 50/50)
DNV ……………….11% 50.0% 50.0% (na, set to 50/50)
Recorded…………99% 43.1% 55.4%
TRUE VOTE
……………………..Pct Burke Walker
Tom Barrett…… 45% 96.0% 4.0% (set to plausible 45/41% returning voter mix)
Scott Walker……41% 05.0% 94.0%
Other……………..3% 50.0% 50.0%
DNV………………11% 52.0% 48.0% (adjust new voter shares)
TOTAL………….100% 52.5% 47.1%

TRUE VOTE MODEL

The model is based on 2012 returning voters and 2014 vote share percentages. In the Base Case scenario, Burke had 52.2%  and won by 107,000 votes.

1) Barrett had a 53% True Vote in the 2012 recall
2) 93% turnout of 2012 living voters in 2014
3) Burke had 92% of returning Barrett voters
4) Burke had 7% of returning Walker voters
5) Burke had 54% of new voters.

The Sensitivity analysis shows Burke’s total vote shares and margins for alternative scenarios of vote share and turnout of 2012 voters.

CUMULATIVE VOTE SHARES

Counties
In 2014, there was a significant 0.24 correlation between Walker’s  county votes and turnout (it was 0.28 in the 2012 recall). This measure indicates that as turnout increased, so did Walker’s vote share. But this is counter-intuitive; strong turnout always favors the Democrats. Burke’s total vote dropped by 61,500 (2.57%) from the 25% mark.

County size
Burke’s share fell by 4.8% in the largest 15 counties, but increased by 2.3% in the middle 15 and 0.67% in the 15 smallest. This is a strong indicator of fraud in the biggest counties.

Democratic strongholds
Burke’s share fell by 6.5% in counties in which she was leading the 25% vote mark. This is an indicator of fraud in Democratic strongholds.

Correlation
There was a -0.37 statistical correlation between the change in Burke’s county shares and county vote size. This is another indicator of fraud in the biggest counties (primarily Milwaukee).

Democratic Vote Share Trend - 15 counties
Election.....Votes..25%...50%..100% Change
Average.......1532 56.1% 53.8% 50.1% 5.9%
2008 Obama……..1853 62.4% 60.7% 57.1% 5.3%
2010 Feingold……1375 54.7% 52.5% 48.7% 6.0%
2010 Barrett……..1372 55.0% 51.9% 48.2% 6.8%
2012 Barrett……..1551 54.2% 52.1% 48.1% 6.1%
2014 Burke……….1511 53.0% 52.2% 48.5% 5.5%
Vote change…..Vote….25%…50%..75%..100%
Votes…………..-61.49 1,174 1,158 1,133 1,113
% Change…………….-2.57 -0.67 -1.07 -0.84
…………..Vote..25%..50%..75%..100%….Correl..% Change
Total……2,385 49.2 48.5 47.5 46.6.. -0.37… -2.6
Top 15…1,573 53.4 52.0 50.2 48.6.. -0.23… -4.8
Mid 15……242 41.0 41.2 41.6 43.1…..   0.01…  2.1
Low 15……..73 43.5 42.6 42.7 43.7….. 0.11…. 0.2
Dem>50% 935 67.3 65.2 62.7 60.8.. -0.35… -6.5

HISTORICAL PRESIDENTIAL EXIT POLLS

A comprehensive analysis of 274 unadjusted 1988-2008 state and 6 national presidential exit polls proved systemic election fraud. The Democrats led the recorded vote by 48-46%, but led the exit polls by a whopping 52-42%. The True Vote Model matched and therefore confirmed the exit polls.

The Adjusted 2004 National Exit Poll indicated that 52.6 million of 2004 voters (43%) were returning Bush 2000 voters and just 37% were returning Gore voters. But this is impossible since Bush had just 50.5 million votes in 2000. Approximately 2 million died and 1 million did not return to vote in 2004. Therefore 5 million phantom Bush voters were required in order to match the recorded vote. Recall that Gore won the popular recorded vote by 540,000 (he actually won by 3-5 million True Votes). The exit pollsters switched 471 (6.7%) of Kerry’s 7,064 responders (of 13660 polled) to Bush.

The Adjusted 2008 National Exit Poll indicated that 60.3 million (46%) of the 131 million who voted in 2008 were returning Bush 2004 voters and just 48.5 million (37%) were returning Kerry voters. In other words, in order to match the 2008 recorded vote, there had to be 11.8 million more returning Bush 2004 voters than returning Kerry voters. But Bush won the bogus 2004 recorded vote by just 3 million! Kerry won the True Vote by close to 10 million. He won the unadjusted state and national exit polls by 6 million. Therefore Obama won the True Vote in 2008 by 22 million, not the 9.5 million recorded.

The pattern is clear. It’s not even close.

An excellent paper from mathematician Kathy Dopp:
http://electionmathematics.org/em-audits/US/2014/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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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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