Category Archives: Election Myths

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.https://richardcharnin.wordpress.com/2018/04/05/23743/

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).

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.

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.

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.

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.

Kerry clearly won. It wasn’t even close. Nate believes the exit polls were wrong and that Bush won fairly. These posts prove that Kerry won.

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.

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.

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..

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.

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.https://richardcharnin.wordpress.com/2014/11/19/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.

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

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.

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?

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.

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/

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.

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.