RSS

Tag Archives: 2004 stolen election

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

Richard Charnin
Nov. 19, 2014

Our democracy was stolen on Nov.22,1963: Click Reclaiming Science:The JFK Conspiracy to look inside the book.
This is how elections are stolen. Click Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts to look inside the book.

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. The exit pollsters freely admit that they adjust the polls to match the recorded vote. The rationale is that the exit polls are always off (by 8% on average), therefore 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 in 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.

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? http://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 won with 50.59% of the 2-party vote. In order to match the recorded vote, the adjusted exit poll indicated a 47/47% split in returning Obama and McCain voters. But Obama won the 2008 recorded Florida vote by 6%. https://docs.google.com/spreadsheets/d/1SnErWihwCvq5puGw3sBF9E4jr585XV2NChqvxGObLAU/edit#gid=2079407084

2014 Florida Governor
Scott had 50.58% of the 2-party vote, within .01% of his 2010 share. Just a coincidence? The ceosstab How Did You Vote in 2010 is not listed, so we will at the Florida Party ID demographic. Democrats have traditionally outnumbered Republicans in Florida. But the 2014 Exit Poll indicates a 31-35-33% (Dem-Rep-Ind) split. Crist had stronger support among Democrats (91%) than Scott did among Republicans (88%). Crist won Independents by 46-44%. When Party ID is changed to a plausible 34-33-33% split, Crist is the winner by 49.4-45.6%. There is anomalous disconnect between Party ID and vote share.

2012 Wisconsin Walker Recall
Walker won in 2010 by 124,638 votes with a 52.3% share. His margin improved in 2012: he won by 171,105 votes with 53.1%.

The Recall True Vote Model (TVM) calculated Walker’s share of Obama returning voters that were required to match the state/county recorded vote. The shares were implausible. It was further evidence that Barrett very likely won the election.

In 2008, Obama won Wisconsin with a 56.2% recorded share. But 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. http://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
The Wisconsin Exit Poll was forced to match a bogus recorded vote by cutting returning Barrett voters to just 35% of 2014 voters, compared to Walker’s 50%. The 15% differential is much higher than the 7% Walker recorded margin (8% discrepancy) and the 6% Barrett True Vote margin (a 21% discrepancy).When the returning voter mix is changed to a feasible Barrett 45/Walker 41%, 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%), resulting in a Walker 55.4-43.1% margin. This is highly anomalous and another “tell” that fraud occurred. Walker had a 52.9% recorded share. http://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

 
 

Tags: , , , , , , , , , , , , ,

Nate Silver and Election Fraud

Richard Charnin
Nov. 17, 2014

Our democracy was stolen on Nov.22,1963: Click Reclaiming Science:The JFK Conspiracy to look inside the book.

This is how elections are stolen. Click Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts to look inside the book.

Once again, Nate Silver misdirects: http://fivethirtyeight.com/features/the-polls-were-skewed-toward-democrats/

As usual Nate gets it wrong. He talks about 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 in reality any researcher who analyzes the historical record should see a consistent pattern – a 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 it. It is standard operating procedure. The rationale is that the polls must be wrong and therefore must be adjusted to match the pristine fraud-free recorded vote. Of course we never get to see the unadjusted exit polls.

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%. http://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: http://richardcharnin.wordpress.com/2014/11/12/wisconsin-2014-governor-true-voteexit-poll-analysis-indicates-fraud/

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. http://richardcharnin.wordpress.com/2012/11/17/a-reply-to-nate-silvers-ten-reasons-why-you-should-ignore-exit-polls/

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. http://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” http://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. http://richardcharnin.wordpress.com/2014/09/14/summary-2004-2012-election-forecast-1968-2012-true-vote-model/

 

Tags: , , , , , , , , , , , , , ,

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?

Our democracy was stolen on Nov.22,1963: Click Reclaiming Science:The JFK Conspiracy to look inside the book.
This is how elections are stolen. Click Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts to look inside the book.

I have analyzed elections since 2000, but decided not to in 2014 because it has been proven beyond any doubt that Election Fraud is systemic. Neither the Democrats nor the Republicans are interested in fair elections. If they were, election fraud would have been eliminated long ago. We need to become familiar with an historic overview and analysis of election fraud.

I calculated 2014 National Exit Poll cross tabs (demographic) vote shares. But it is ultimately a fruitless exercise since we do not have unadjusted exit polls. We cannot view the exit poll respondent’s actual preferences; they were adjusted to match the recorded vote. National and state exit polls are always forced to match the recorded vote – in all categories.

Here is the proof. In 2014, the Republicans won the recorded vote by 5.7%. They won the adjusted House National Exit Poll by 5.8%. The 0.1% difference is not due to perfect polling.
..........................Dem Rep Other Margin
Recorded Vote.......... 46.6% 52.3% 1.1% 5.7%
Adjusted NEP (Gender)...46.1% 51.9% 2.0% 5.8%
Difference...............0.5% 0.4% -0.9% -0.1%

This is an excellent related article by Jonathan Simon: Vote Counts and Polls: An Insidious Feedback Loop

According to the final, adjusted 2014 National Exit poll, the Republicans had a 52-46% margin. As you all know by now (or should if you have been paying attention) the 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.

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.

In 2012, the number of states exit polled was reduced to 31. The NEP finally came to realize that the unadjusted polls were a clear indicator of fraud – so they just stopped polling in 19 states. And we only have the adjusted state and national exit polls, so that the ability to prove fraud based on unadjusted exit polls and true vote analysis is now sharply curtailed.

Therefore, voters must demand to see the unadjusted exit polls, including polled precincts. Let’s see how the National Election Pool (CNN, WaPo, CBS, ABC, AP, FOX) responds. 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. (i.e. the the corporate media).

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) http://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

 
Leave a comment

Posted by on November 8, 2014 in Election Myths

 

Tags: , , , , , , , , , , , ,

Sensitivity Analysis proves a JFK Conspiracy and Systemic Election Fraud

Sensitivity Analysis proves a JFK Conspiracy and Systemic Election Fraud

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

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

JFK Blog Posts
JFK Calc Spreadsheet Database

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

JFK Assassination Witnesses

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

But in fact the number of witnesses was knowable. Approximately 67 of 1100+ witnesses called to testify in four investigations from 1964-1978 died suspiciously (38 unnaturally, 27 were homicides). Of the 552 who testified at the Warren Commission in 1964, at least 30 died suspiciously (20 unnatural). In three investigations (Garrison/Shaw trial, Church, HSCA) approximately 600 witnesses called to testify died suspiciously (26 unnaturally). Most of the deaths occurred just before the witnesses’ scheduled testimony.

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

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

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

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

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

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

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

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

1400 1.68E-100
2000 1.94E-88

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

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

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

 
Leave a comment

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

 

Tags: , , , , , , , , , , , , , , , ,

1968-2012 Presidential Election Fraud: An Interactive True Vote Model Proof

1968-2012 Presidential Election Fraud: An Interactive True Vote Model Proof

http://richardcharnin.com/

Richard Charnin
Jan. 22,2013

The 1968-2012 National True Vote Model (TVM) has been updated to include the 2012 election. Anyone can run the model and calculate the True Vote for every presidential election since 1968. Only two inputs are required: the election year and the calculation method (1-5). These deceptively simple inputs produce a wealth of information and insight.

In the 1968-2012 elections, the Republicans led the average recorded vote 48.7-45.8%. The Democrats led the True Vote by 49.6-45.1%, a 7.4% margin discrepancy.

The calculation methods are straightforward. Method 1 reproduces the Final National Exit Poll which is always adjusted to match the official recorded vote. It is a mathematical matrix of deceit. Consider the impossible turnout of previous election Republican voters required to match the recorded vote in 1972 (113%), 1988 (103%), 1992 (119%), 2004 (110%) and 2008 (103%). This recurring anomaly is a major smoking gun of massive election fraud.

Methods 2-5 calculate the vote shares based on feasible returning voter assumptions. There are no arbitrary adjustments. Method 2 assumes returning voters based on the previous election recorded vote; method 3 on total votes cast (includes uncounted votes); method 4 on the unadjusted exit poll; method 5 on the previous (calculated) True Vote.

In the 12 elections since 1968, there have been over 80 million net (of stuffed) uncounted ballots, of which the vast majority were Democratic. And of course, the advent of unverifiable voting machines provides a mechanism for switching votes electronically.

Final election vote shares are dependent on just two factors: voter turnout (measured as a percentage of previous living election voters) and voter preference (measured as percentage of new and returning voters).

The TVM uses best estimates of returning voter turnout (“mix”). The vote shares are the adjusted National Exit Poll shares that were applied to match the recorded vote.

It turns out that the Final Exit Poll match to the recorded vote is primarily accomplished by changing the returning voter mix to overweight Republicans.

In 2004, the adjusted National Exit Poll indicated that 43% of voters were returning Bush 2000 voters (implying an impossible 110% Bush 2000 voter turnout in 2004) and 37% were returning Gore voters. But just changing the returning voter mix was not sufficient to force a match to the recorded vote; the Bush shares of returning and new voters had to be inflated as well. Kerry won the unadjusted NEP (13660 respondents) by 51.0-47.5%.

In 2008, the adjusted NEP indicated that 46% of voters were returning Bush voters (an impossible 103% turnout) and 37% returning Kerry voters. Obama won the unadjusted NEP (17836 respondents) by 61.0-37.5%.

Sensitivity Analysis

The final NEP shares of new and returning voters are best estimates based on total votes cast in the prior and current elections and a 1.25% annual mortality rate. But we need to gauge the effect of incremental changes in the vote shares on the bottom line Total Vote. The TVM does this automatically by calculating a True Vote Matrix of Plausibility (25 scenarios of alternative vote shares and corresponding vote margins).

The base case turnout percentage of prior election voters is assumed to be equal for the Democrat and Republican. The turnout sensitivity analysis table displays vote shares for 25 combinations of returning Democratic and Republican turnout rates using the base case vote shares.

The National Election Pool consists of six media giants and funds the exit polls. In 2012 the NEP decided to poll in just 31 states, claiming that it would save them money in these “tough” times. It would have cost perhaps $5 million to poll the other 19 states. Split it six ways and it’s less than the salary of a media pundit.

The published 2012 National Exit Poll does not include the “Voted in 2008” crosstab. It would have been helpful, but we don’t really need it. We calculated the vote shares required to match the recorded vote by trial and error, given the 2008 recorded vote as a basis. After all, that’s what they always do anyway.

 
2 Comments

Posted by on January 24, 2013 in True Vote Models

 

Tags: , , , , , , , , , ,

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

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

Richard Charnin
Jan. 19, 2013

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

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

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

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

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

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

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

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

2010 Midterms Overview
True Vote Model Analysis

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

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

 
Leave a comment

Posted by on January 19, 2013 in True Vote Models

 

Tags: , , , , , , , , , ,

Late Votes and the True Vote Model indicate that Obama may have won by 16 million votes

Late Votes and the True Vote Model indicate that Obama may have won by 16 million votes

Richard Charnin
Dec. 21, 2012
Updated Jan. 1, 2013

In 2012, Obama had to once again overcome the persistent 4-5% fraud factor. In each of the 2000, 2004, and 2008 presidential elections, Democratic Late Votes recorded after Election Day have closely matched the unadjusted state and national exit polls – and the True Vote Model.

Why would anyone expect that 2012 would be any different? This analysis indicates that Obama did much better than his recorded 51.03-47.19% margin (4.97 million votes) and won by nearly 16 million votes. So what else is new?

This analysis does not include the millions of voters who were disenfranchised and never voted. In Florida, 49,000 voters got tired of waiting on lines for eight hours and went home. Had they voted, Obama would have won by more than 20 million votes.

In 2012, there were 129.132 million votes, of which 11.677 million were recorded after Election Day. Obama won these late votes by 58.0-38.3%, a 7.7% increase over his 50.3% Election Day share.

The 2008 late vote result was similar. Obama had 52.87% of 131.37 million total votes. He had 52.3% of 121.21 million votes recorded on Election Day, but won 59.2% of 10.2 million late votes, a 6.8% increase over his Election Day share.

True Vote Sensitivity Analysis

Pollsters and pundits and academics never do a sensitivity analysis of alternative turnout and vote share scenarios. Is it because they have never been exposed to this critical analytical modeling tool? Or is it that using it would raise issues that they would rather not talk about?

In the True Vote Model, Obama won all plausible scenarios.

Base case assumptions
1. Obama had a 58% vote share in 2008
This is his unadjusted state exit poll aggregate share (82,388 respondents) and True Vote Model. He won the unadjusted National Exit Poll (17,836 respondents) by 61-37%.
2. Equal 95% turnout of living Obama and McCain voters.
3. Obama had 90% of Obama and 7% of returning McCain voters.
(net 3% defection of returning Obama voters to Romney)
In 2008, Obama had 89% of returning Kerry and 17% of Bush voters.
4. Obama had 59% of new voters.
In 2008, Obama had 73% (two-party) of new voters.
Obama wins by 15.8 million votes with a 56.1% (two-party) share.

Implausible: Match to the Recorded vote

I. Vote shares required to match
Obama had 82% of returning Obama and 7% of returning McCain
(net 11% defection advantage to Romney)
Obama has 51.8% (2-party) and wins by 4.8 million votes.

II. Returning voters required to match
Voter turnout: 71% of Obama voters and 95% of McCain voters
Obama has 51.9% (two-party) and wins by 5.0 million votes.

Pundits, Naysayers and the Myth of Fair Elections

Just 31 states were exit polled in 2012. But unadjusted state and national polls are not available. As always, only the final adjusted state and national exit polls are displayed on mainstream media websites. As always, all exit poll category cross tabs were forced to match the recorded vote. There has never been any indication on the part of the exit pollsters that this practice will ever change.

The “How Voted in 2008″ category is not included. Perhaps because it has proven to be a very useful tool in proving election fraud. In each of the 1988, 1992, 2004 and 2008 elections, in order for the National Exit Poll to match the recorded vote, it was forced to assume that there were millions more returning Bush phantom voters from the previous election than were still living.

It must have been written in stone: There is no such thing as Election Fraud. It is just a conspiracy theory. All elections are squeaky clean. The only poll that counts is the one held on Election Day. The recorded vote is the same as the True Vote. There is no justification in responding to analyst requests to view raw precinct exit poll/recorded vote data.

The usual suspects may try to thrash this analysis and call it another “conspiracy theory”. Or they will avoid discussing it. But 2012 confirms that only systemic election fraud could be the cause of the massive red-shift in the 1988-2008 Democratic unadjusted state and national exit polls (52-42%) and True Vote Model (53-41%) to the recorded 48-46%. The probability of the 8% differential is 1 in trillions. In the six elections, there were approximately 90,000 National Exit Poll respondents and 370,000 state exit poll respondents.

Pundits and naysayers are quick to accept the recorded result as gospel. They will perpetuate the myth of fair elections and point to Obama’s solid 5 million vote margin. But once again, a Democratic landslide was denied by election fraud.

Based on the historical record, late votes recorded after Election Day closely matched the unadjusted state exit polls. But exit poll naysayers cannot use the bogus faith-based canard of a systemic built-in differential exit poll response; Democrats are more anxious to be interviewed than Republicans or that exit poll respondents misrepresented their vote. They cannot use those arguments because the analysis is based on recorded votes, not exit polls. They will have to come up with an explanation to refute the persistent pattern of late recorded votes breaking sharply to the Democrat.

Late Vote vs. Election Day Share

The late vote timeline shows that Obama’s lead was steadily increasing. The consistent incremental late vote share is very telling. But the day to day changes in his total share do not tell the full story. One must consider the difference between Total Late Vote and Election Day shares.

If Late Votes are within 3% of the True Vote, it is a confirmation of systematic election fraud. The question needs to be asked: Why do late votes always show a sharp increase in the Democratic vote share?

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

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

2008: 121.0 million votes on Election Day. Obama led 52.3-46.3%.
Obama won 10.2 million late votes by 59.2-37.5% He won the 131 million recorded votes by 52.9-45.6%, a 9.5 million vote margin. But he did much better in the unadjusted National Exit Poll: 61-37% (17,836 respondents, a 31 million vote margin. He also won the unadjusted state exit poll aggregate (82,388 respondents) by 58.0-40.5%, a 23 million margin. Obama had an identical 58.0% in the True Vote Model, exactly matching and confirming the state exit polls.

2012: 117.456 million votes on Election Day. Obama led 50.3-48.1%. He won the 129.132 million total recorded vote by 3.8% (51.0-47.2%), a 4.9 million margin. But he won the 11.677 million late votes by nearly 20% (58.0-38.3%).

In addition, Obama had a 56.1% True Vote (2-party) vs. 52.0% recorded. When the late state vote shares are weighted by total votes cast, Obama’s 56.3% (2-party) share is close to his 56.1% True Vote. This is a strong indicator that late votes are at least fairly representative of the total electorate.

Unadjusted 2012 state and national exit polls are not, and never will be, available. The mainstream media does not want you to know the truth about this, or any other, election.

Obama vote margin

Total:51.03-47.19% (3.84% margin; 129.132 million votes);51.96% 2-party
Election Day: 50.34-48.07% (2.27%; 117.456); 51.15% 2-party
Late vote: 57.99-38.29% (19.70%; 11.677); 60.23% 2-party
Weighted late vote: 53.97-41.83% (12.14%); 56.33% 2-party
True Vote Model: 56.11-43.89% (12.22%); 2-party)

The Early Vote
In 2008, the lowest exit poll discrepancies were in the states that had the highest percentage of early voting on paper ballots. Obama had 61% in the 2008 National Exit Poll, 58% in the aggregate of the state exit polls. The assumption is that Obama did approximately 3% better in late absentee and provisional ballots than he did in early voting.

Obama’s 56.1% True Vote (no fraud) calculation assumes he had 56% on Election Day, matching his early voting share. The Late Vote share is known exactly.

If the election was fraud-free, it is unlikely that Obama’s Election Day margin would differ from his early vote margin by more than 2%. But who can believe the unverifiable machine vote counts on Election Day?

In 2008, states with the highest percentage of early votes (WA, OR, CO, etc.) had the lowest exit poll discrepancies – and were strong Obama states. There were 131.3 million recorded votes of which 40.6 million (30.6%) were cast early on hand-delivered or mail-in paper ballots. The mail-in ballots accounted for 31.7% of all early votes.

Calculating the Election Day Vote

The only unknown component is Obama’s early vote share. If we had this statistic, his Election Day share is a simple calculation. Early vote total estimates gave Obama 55% in selected battleground states. He had 60.2% of the late 2-party recorded vote and 52.0% of the total 2-party recorded vote. Assuming he had 55% of early voters, then Romney needed 51% on Election Day to match the recorded vote. This is implausible and clearly indicates fraud.

This table determines the election day vote shares required to match the recorded vote given the early, late and total vote shares.

How Voted....... Votes Pct Obama Romney
Early voting.... 40.6 32.0% 55.0% 45.0%
Election Day.... 75.0 59.1% 49.0% 51.0%
Late Votes...... 11.2 8.9% 60.2% 39.8%

Recorded........ 126.8 100.0% 51.9% 48.1%
Votes (millions)............... 126.8 65.9 61.0

Sensitivity Analysis

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

........ Obama Election Day %
........ 49.0% 52.0% 56.0%
Early.... Obama Share
56.0% 52.2% 54.0% 56.4%
55.0% 51.9% 53.7% 56.1% < True Vote
49.0% 50.0% 51.8% 54.1%
....... Margin
56.0% 5.7 10.2 16.2
55.0% 4.9 9.4 15.4 < True Vote
49.0% 0.0 4.5 10.5

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

Election Day and Late vote shares
(Late votes in thousands)
* indicates suspicious anomaly
href=”http://en.wikipedia.org/wiki/United_States_presidential_election,_2012″>wikipedia.org United_States_presidential_election,_2012


................EDay Late Late Votes (000)
Total...........50.3% 58.0% 11,677

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

___________________________________________________________________

State and National Exit Polls

The late votes can be viewed as a proxy for the unadjusted state exit polls. The exit poll naysayers cannot use the worn out bogus claim that a) late poll “respondents” misrepresent how they voted and b) there is a differential response: Democrats are more anxious to be interviewed than Republicans.

But all we have is the 2012 National Exit Poll which is always forced to match the recorded vote. It shows that Obama was a 50-48% winner. All demographic crosstabs were forced to conform to the recorded vote.

The National Exit Poll crosstabs and corresponding True Vote adjustments show that the Democrats had a 39-32% Party-ID advantage. In 2004, the Final NEP 37-37 split did not agree with the pre-election survey 38-35%.

Similarly, Bush’s 53% approval rating did not match the unadjusted exit poll 50% or the 11 pre-election poll 48% average. The bogus 53% National Exit Poll approval had the effect of inflating Bush’s total share to match the recorded vote.

In 2012, about 80 questions were asked of over 25,000 exit poll respondents. But the most important crosstab was missing: Who did you vote for in 2008? Maybe it’s because it resulted in an impossible returning voter mix in each of the 1988,1992,2004 and 2008 elections.

That’s why the True Vote Model always determines a feasible mix of returning voters based on prior election votes cast – and the bogus adjusted Final Exit Poll that is forced to match the recorded vote is replaced by the True Vote – which reflects True Voter Intent.

Early and Late Vote Questions

If the Late Votes are representative of the total vote, they are another confirmation of systematic election fraud.

- Why would the late votes always show a sharp increase in the Democratic vote share?

- Could it be that since the winner has been decided, there is no longer an incentive to steal the late recorded votes?

- Could it be that early and late votes match the unadjusted exit poll aggregate and the True Vote Model because they are cast on paper ballots (provisional, absentee) and not on computers?

- Could it be that the bulk of late votes are in Democratic strongholds? That may account for some of the discrepancy, but not all. In 2012, Obama had a 54.0-41.8% margin when the late state vote shares were weighted by the total state vote (56.3% of the 2-party vote) – very close to the 56.1% True Vote Model.

Consider…
1) Late votes are cast on paper ballots, not DREs or optiscans.
2) There is no incentive to miscount votes after the election.
3) Democratic late vote shares always far exceed Election Day shares. This is indicative of a structural phenomenon.
4) Blacks, Hispanics and Asians votes increased for Obama in 2012. Since the total vote declined, there were fewer white voters, increasing Obama’s total share.
5) When late shares are weighted by total state votes, Obama’s 14.8% margin far exceeds his 2.3% Election Day margin.

Democratic late vote discrepancies from Election Day shares may not be proof of systemic election fraud by itself. But fraud has already been proved; late votes are a strong confirmation. Given the anomalies, there is no reason why an analysis of early and late recorded votes are ignored in the mainstream media and academia. Without an accurate composition of early/late vote demographics, we cannot know to what degree they are representative of the electorate as a whole.

This analysis has indicated why Obama would be expected to do better in early and late voting than on Election Day. The question is: How much better?
_______________________________________________________________________

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

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

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

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

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

 
8 Comments

Posted by on November 26, 2012 in 2012 Election

 

Tags: , , , , , , , ,

 
Follow

Get every new post delivered to your Inbox.

Join 780 other followers