# Tag Archives: election forecasters

## Historical Overview of Election Fraud Analysis

Richard Charnin
Jan.31, 2013

http://richardcharnin.com/

Historical Overview

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

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

In the 1988-2008 elections, the Democrats won the unadjusted state exit poll aggregate by 52-42% – but won the recorded vote by just 48-46%, an 8% margin discrepancy. The state exit poll margin of error was exceeded in 126 of 274 state presidential elections from 1988-2008. The probability of the occurrence is ZERO. Only 14 (5%) would be expected to exceed the MoE at the 95% confidence level. Of the 126 which exceeded the MoE, 123 red-shifted to the Republican. The probability P of that anomaly is ABSOLUTE ZERO (5E-106). That is scientific notation for

P= .000000000 000000000 000000000 000000000 000000000 000000000 000000000 000000000 000000000 000000000 000005.

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

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

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

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

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

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

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

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

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

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

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

The adjusted 2004 National Exit Poll was mathematically impossible since it indicated that there were 52.6 million returning Bush 2000 voters. But Bush had just 50.5 million recorded votes in 2000 – and only 48 million were alive in 2004. Approximately 46 million voted, therefore the adjusted Final NEP overstated the number of returning Bush voters by 6.5 million. In order to match the recorded vote, the NEP required an impossible 110% living Bush 2000 voter turnout in 2004.

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

Consider the Final National Exit Poll adjustments made to Bush’s approval rating and Party–ID crosstabs.

Bush had a 48% national approval rating in the final 11 pre-election polls. But the Final adjusted National Exit Poll indicated that he had a 53% approval rating – even it was 50% in the unadjusted state exit poll weighted aggregate. Given the 3% differential between the Final NEP and state exit poll ratings, let’s deduct 3% from his 48% pre-election approval. This gives Bush a 45% vote share – a virtual match to the True Vote Model. The exit pollsters had to inflate Bush’s final pre-election 48% average rating by 5% in the NEP in order to have it match the recorded vote – and perpetuate the fraud. There was a near-perfect 0.99 correlation ratio between Bush‘s state approval and unadjusted exit poll share.

Similarly, the unadjusted state exit poll Democratic/Republican Party ID split was 38.8-35.1%. In order to force the National Exit Poll to match the recorded vote, they needed to indicate a bogus 37-37% split.

The correlation between state Republican Party ID and the Bush unadjusted shares was a near-perfect 0.93. This chart displays the state unadjusted Bush exit poll share, approval ratings and Party-ID.

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

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

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

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

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

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

## Election Fraud 2012: The Third-party Vote

Election Fraud 2012: The Third-party Vote

Richard Charnin
Jan. 14, 2013

In previous posts, we have noted the dramatic 7% difference between Obama’s Election Day and late recorded vote share in both 2008 and 2012. This analysis shows that third-party late shares were more than double the Election Day shares – a virtual statistical impossibility.

In 2008, there were 121.21 million votes recorded on Election Day; Obama led by 52.34-46.31% (1.35% to third-parties). There were 10.16 million late votes; Obama led by 59.16-37.48% (3.36% to third-parties).

In 2012, there were 117.46 million votes recorded on Election Day; Obama led by 50.34-48.07% (1.59% to third-parties). There were 11.68 million late votes; Obama led by 57.99-38.29% (3.72% to third-parties).

Are late votes representative of the electorate as a whole? One check is to weight (multiply) the late state vote shares by the total state vote.

2008 Weighted Late Vote Shares:
Obama 57.4- McCain 38.6- Other 4.0%
The third-party late share is within 0.6% of the 3.36% recorded late share.
Obama had 58.0% in the state exit poll aggregate and the True Vote Model (within 0.6% of his weighted late share).

2012 Weighted Late Vote Shares:
Obama 54.0- Romney 41.8- Other 4.2%
The third-party late share is within 0.5% of the 3.7% recorded late share.
Obama had 56.1% in the 2-party True Vote Model (within 0.3% of his weighted 2-party late share). Only 31 states were exit polled in 2012. Unadjusted polling data is unavailable.

So what do the third-party numbers indicate? Consider that:
- Obama’s 2008 late vote shares closely match the 2008 state exit polls (within 1%).
- Obama’s 2008 and 2012 late vote shares closely match the True Vote Models (within 1%).

Third-party 2008 and 2012 late state vote shares
- closely match the late recorded shares (within 0.5%).
- were more than double the Election Day shares.

Therefore, since the Obama and third party weighted late shares were a close match to the late recorded shares, it is likely that the increase in the third party late share over the Election Day share was caused by a combination of a) vote flipping on Election Day from third parties to McCain and Romney, b) higher third party provisional and absentee voting rates, c) discarding of absentee and provisional Obama ballots which increased third-party late vote shares.

If 50% of the difference in third party late vote shares and Election Day shares was due to vote flipping, then approximately one million (1%) of the votes recorded on Election Day were flipped from the third-parties to McCain and Romney.
``` Election Day and Late Vote shares (weighted by total state vote) 2008 Obama McCain Other Calculated 52.87% 45.62% 1.51% Total Votes 52.34% 46.31% 1.35% Election Day 52.25% 46.51% 1.24% Election Day Weighted 59.15% 37.47% 3.34% Late Recorded 55.80% 40.90% 3.30% Late Weighted 58.00% 40.30% 1.70% Exit Poll & True Vote Model```

``` 2012 Obama Romney Other Calculated 51.03% 47.19% 1.78% Total Votes 50.34% 48.07% 1.59% Election Day 50.68% 47.70% 1.62% Election Day Weighted 57.99% 38.29% 3.72% Late Recorded 54.00% 41.80% 4.20% Late Weighted 55.00% 43.00% 2.00% True Vote Model (exit polls n/a) Early and Election Day shares required to match the recorded vote (Obama 55% early share based on media estimates) National (votes in millions) .........................Votes Pct Obama Romney Other Margin Early/Election Day.......117.45 91.14% 50.34% 48.07% 1.59% 2.27% Late......................11.68 8.86% 57.99% 38.29% 3.72% 19.70% Total....................129.13 100.0% 51.03% 47.19% 1.78% 3.84% ..........................Votes Pct Obama Romney Other Margin Early voting..............40.03 31.00% 55.00% 43.41% 1.59% 11.59% Election Day..............77.42 60.14% 48.00% 50.41% 1.59% -2.41% Late Votes................11.68 8.86% 57.99% 38.29% 3.72% 19.71% Calculated Share.........129.13 100.0% 51.06% 47.17% 1.78% 3.89% Recorded Share........................ 51.03% 47.19% 1.78% 3.84% Total Votes (mil)..................... 65.90 60.94 2.30 4.96 True Vote............................. 55.00% 43.00% 2.00% 12.00% 2-party .............................. 56.1% 43.9% Obama Election Day Share ..... 48.0% 52.0% 56.0% Early... Total share 56% 51.37% 53.77% 56.18% 55% 51.06% 53.46% 55.87% 49% 49.20% 51.60% 54.01% ........ Margin 56% 5.82 12.04 18.25 55% 5.02 11.24 17.45 49% 0.22 6.43 12.65 Florida (votes in thousands) ..........................Votes Pct Obama Romney Other Margin Early voting............4,245 50.00% 52.00% 47.14% 0.86% 4.86% Election Day............4,063 47.85% 47.60% 51.54% 0.86% -3.94% Late Votes................182 2.15% 52.70% 37.55% 9.75% 15.15% Calculated Share........8,490 100.00% 49.91% 49.04% 1.05% 0.87% Recorded Share........................49.91% 49.04% 1.05% 0.87% True Share............................50.69% 48.26% 1.05% 2.43% Ohio (votes in thousands) ..........................Votes Pct Obama Romney Other Margin Early voting............1,395 25.00% 57.05% 41.54% 1.41% 15.51% Election Day............4,132 74.04% 48.40% 50.19% 1.41% -1.79% Late Votes.................54 0.96% 59.38% 33.59% 7.03% 25.80% ```

```Calculated Share........5,581 100.00% 50.67% 47.86% 1.47% 2.81% Recorded Share........................50.67% 47.86% 1.47% 2.81% True Share............................53.97% 44.56% 1.47% 9.42% ```

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 Generic Poll Trend Model
Projected Democratic share: 56.43%

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

1 Comment

Posted by on January 14, 2013 in 2012 Election

## Final Forecast: The 2012 True Vote/ Election Fraud Model

Final Forecast: The 2012 True Vote/ Election Fraud Model

Richard Charnin
Nov.5, 2012

Are there any forecasters in the corporate media who discuss systemic election fraud and include a True Vote analysis in their models? I have not seen any. The pundits ignore election fraud completely by limiting their projections to the recorded vote. But they are missing the big story which can be expressed by the simple formula:

Recorded Vote = True Vote + Fraud factor

The forecast: Obama has 320.7 expected electoral votes (see the definition of the expected value below) and a 332 snapshot EV. His 99.4% win probability is based on 497 electoral vote wins out of 500 trial simulations. His projected popular vote share margin is 51-48%, a 69-65 million vote margin.

But the recorded vote is not the True Vote. The True Vote is never the same as the recorded vote. The True Vote Model indicates Obama would have approximately 371 EV, a 55% vote share and win by 74-59 million votes in a fraud-free election.

Obama’s 332 snapshot EV assumes he will win all the battleground states except for NC. The races are very close in CO (9), FL (29), NC (15), NH (4), NV (6), OH (18) WI (10), VA (13) and that is why the expected EV is just 320.7. But keep in mind that the projections are based on LV polls which a) always understate Democratic turnout and b) are at least partially based on previous election bogus recorded votes.

If FL, OH and NC are stolen, Obama will likely lose. Even though he won the True Vote, it was not enough to overcome the FRAUD FACTOR.

To the pundits, the Fraud Factor is zero. They are not paid to project the True Vote. Their projections are based on Likely Voter polls which are always close to the popular recorded vote. The public has always been led to believe that the recorded vote was in fact the True Vote. It never is. The historical uncounted votes which are 70-80% Democratic prove it. And there have been approximately 40-45 million uncounted ballots in the last six presidential elections – according to the U.S. Census. That’s the bad news.

The good news is that finally, after 12 long years, there is a near critical mass of election fraud awareness. The 2000 and the 2004 elections have been proven to be stolen. Of course, the media pundits know this. But they like their jobs too much to defy their editors.

But the word is finally getting out after decades of media silence and misinformation. Yes, it’s a conspiracy, all right – a conspiracy fact, not a theory. The simple fact is that the conspiracy is the media and politicians who have kept the facts about our broken electoral system hidden from the public. What is the proof? The proof is…they never talk about the millions of uncounted votes or the proprietary voting machines owned and serviced by right-wing organizations – who just so happen to also count the votes..

Unlike the other election forecasters in the media and academia, the 2012 True Vote/ Election Fraud Forecast model projects both the True Vote and the official Recorded vote.

- The Monte Carlo electoral vote simulation is based on the latest state likely voter (LV) polls.
- The True Vote Model is based on plausible turnout estimates of new and returning 2008 voters and corresponding vote shares.

The LV polls are based partially on a Likely Voter Cutoff Model which always reduces projected (Democratic) turnout. Another factor to keep inmind is that the polls are at least somewhat based on prior election recorded votes – which are themselves tainted.

Even so, Obama has a 99% probability of winning the Electoral Vote (EV). Models which indicate an 80% win probability based on the latest polls cannot be correct – probably because they include extraneous factor variables. An experienced modeler knows how to KISS (keep it simple stupid).

Only 500 election simulation trials are necessary to determine the EV win probability. Anything more than that is overkill. Calculating the expected EV does not require a million scenario combinations, either.

Assuming the polls, the state win probabilities p(i) can be calculated. The expected EV is just a simple summation based on the expected state electoral votes: Expected EV = ∑p(i)* EV(i), where i =1,51 states.

Election Model Forecast; Post-election True Vote Model

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

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

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

Posted by on November 5, 2012 in 2012 Election

## Calculating the Projected Electoral Vote

Calculating the Projected Electoral Vote

Oct. 26, 2012

The 2012 Election Forecast Simulation Model calculates the projected electoral vote in three ways.

1. Snapshot EV: The state electoral vote goes to the projected leader based on the pre-election poll. This is a crude estimate in close races in which the projected margin is within 1-3%.

2. Expected EV: The probability of winning each state is calculated using the poll-based projection. The theoretical forecast electoral vote is the weighted sum of the state win probabilities and corresponding electoral votes. EV= ∑ P(i) * EV (i), i =1,51 states. This is the best estimate for the projected Electoral Vote.

3. Simulation Mean EV: The mean electoral vote is a simple average of the simulated trial elections. It calculated mean approaches the theoretical expected EV as the number of trials increase (500 is sufficient), illustrating the Law of Large Numbers. A Monte Carlo simulation is needed to calculate the probability of winning the election. It is simply the number of winning trials divided by 500.

The Final Nov.6 model forecast that Obama would have a 332 Snapshot EV (exactly matching his actual EV), a 320.7 Expected EV and 320.8 Simulation Mean EV. But the Expected EV is a superior forecast tool since it eliminates the need for stating that “the states are too close to call”.

Election Model Forecast; Post-election True Vote Model

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

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

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

Posted by on October 27, 2012 in 2012 Election, Uncategorized

## 2012 Presidential True Vote and Monte Carlo Simulation Forecast Model

2012 Presidential True Vote and Monte Carlo Simulation Forecast Model

Richard Charnin
June 22,2012

The model will be run on a periodic basis up to Election Day.
a) The True Vote Model is based on estimated turnout and vote share assumptions
b) The Simulation model is based on the latest state and national polls.

NOV.5 UPDATE: VIEW FINAL FORECAST HERE

It is important to note that the True Vote is never the same as the recorded vote. In 2008, Obama had 58% in the unadjusted state exit poll aggregate and 58% in the 1988-2008 True Vote Model. But his recorded vote share was just 52.9%. Therefore, assuming the same 5% red-shift differential, Obama needs at least a 55% True Vote share to win the popular vote.

Rasmussen is a GOP pollster who provides a Likely Voter (LV) subset of the total number of Registered Voters (RV). The majority of registered voters excluded by the Likely Voter Cutoff Model are Democrats.

Election Model Projections: 2004-2010

The 2004 Election Model weekly projections started in July and were based on the latest state and national polls. The model was the first to use Monte Carlo Simulation and sensitivity analysis to calculate the probability of winning the electoral vote. It projected Kerry winning 337 electoral votes with 51.8% of the two-party vote, closely matching the unadjusted National Exit Poll (51.7%). The election was stolen.

The 2006 House Trend Forecast Model was based on 120 Generic polls. It projected that the Democrats would capture 56.43% of the vote and was virtually identical to the unadjusted National Exit Poll (56.37%). The NEP was forced to match the recorded 52-46% vote share. The landslide was denied. Election fraud cost the Democrats 15-20 House seats.

The 2008 Election Model projection was published weekly. The final projection exactly matched Obama’s 365 electoral votes and was within 0.2% of his 52.9% share (a 9.5 million margin). But the model understated his True Vote. The forecast was based on likely voter (LV) polls that had Obama leading by 7%. Registered voter (RV) polls had him up by 13% – before undecided voter allocation. The True Vote Model determined that Obama won by over 22 million votes with 420 EV. His 58% share was within 0.1% of the unadjusted state exit poll aggregate (83,000 respondents). The landslide was denied.

The 2010 Election Forecast Model predicted a 234-201 GOP House based on the final 30 likely voter (LV) Generic polls (the GOP led by 48.7-41.9%). It predicted a 221-214 GOP House based on the final 19 registered voter (RV) polls (the GOP led by 45.1-44.4%). The Final National Exit Poll was a near match to the LV pre-election poll average. The Democratic margin was 6.1% higher in the RV polls than the LVs.

The model predicted a 50-48 Democratic Senate based on 37 LV polls in which the GOP led by 48.1-43.5%. It predicted a 53-45 Democratic margin based on a combination of 18 RV and 19 LV polls in which they led by 45.2-44.6%, a 5.2% increase in margin.

There were no RV polls in the realclearpolitics.com final polling averages. CNN/Time provided RV and LV polling data for 18 Senate races. The Democrats led the RV polls in 11 states (49.2-40.6%) and the LV subset in 8 (46.6-45.8%), an 8% difference in margin.

Take the Election Fraud Quiz.

Election Model Forecast; Post-election True Vote Model

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

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

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

## Why Do All Election Forecasters, Political Scientists, Academics and Media Pundits Avoid the Systemic Fraud Factor?

Why Do All Election Forecasters, Political Scientists, Academics and Media Pundits Avoid the Systemic Fraud Factor?

Richard Charnin

Updated: May 11, 2012

It is about time that the so-called experts who promote overly complex or overly simplistic pre and post election models started to apply the scientific method. They need to do a robust probability and statistical analysis, including the election fraud factor in historical regression factor analyses and polling models.

Election forecasters and political scientists implicitly assume that the recorded vote is equal to the True Vote; they never consider Systemic Election Fraud. But the recorded vote never equals the True Vote. The proof is simple and self-explanatory. According to the US Census, there were 80 million more votes cast then recorded in the 1968-2008 presidential elections. The uncounted votes were a combination of spoiled, provisional and absentee ballots. And the vast majority (70-80%) of them were, not surprisingly, Democratic. Therefore, the recorded vote has never represented the will of the electorate. And the historical election data that is accepted as conventional wisdom is based on uncounted and miscounted votes.

Media pundits and political scientists never question the unscientific and faith-based practice of forcing the exit polls to match the recorded votes. Even when the adjustments are mathematically impossible.

Historical evidence indicates Democratic since 1988, presidential vote shares are always reduced by 3-5%. The Democrats won the average unadjusted state exit poll aggregate by a massive 52-42% margin, but the recorded vote margin was just 48-46%. The True Vote Model confirms the exit polls. The TVM indicates that they won by 53-41%.

There were comparable deviations in senate, congressional and gubernatorial elections.

1988-2008 exit poll and recorded vote data is provided in this link:
Data Reference: The 1988-2008 State and National Unadjusted Exit Polls

The data source is the Roper site

Prior to 2004, the primary factor in causing the exit poll discrepancies were uncounted ballots in heavily Democratic districts. But in 2002, the Help America Vote Act (HAVA) resulted in the installation of thousands of unverifiable, proprietary voting machines vulnerable to computer hacking and malicious coding.

It is often stated that exit polls were accurate in elections prior to 2004 and have deviated sharply from the recorded vote since. But it misleading to compare FINAL exit polls prior to 2004 to UNADJUSTED exit polls since. State and national exit polls published in the media are ALWAYS been FORCED to match the RECORDED vote. That’s why they APPEAR to have been accurate.

RECORDED votes have deviated sharply from the UNADJUSTED exit polls (and the TRUE VOTE) in EVERY election since 1968. UNADJUSTED exit polls have ALWAYS been accurate; they matched the True Vote Model in the 1988-2008 elections. The reason why FINAL state and national exit poll exactly matched the RECORDED vote is because they have been forced to. It is standard policy. But the recorded vote has NEVER reflected true voter intent due to documented uncounted and stuffed ballots and maliciously programmed electronic voting machines.

This is how the 2004 National Exit Poll was forced to match the recorded vote:
1) Bush Approval
The unadjusted state exit poll weighted aggregate (76,000 respondents) indicates that 50.3% of respondents approved of Bush’s performance. Kerry won the aggregate by 51.1-47.5%. He also won the unadjusted National Exit Poll, a 13,660 subsample, by 51.7-47.0%. But in the adjusted Final National Exit Poll, Bush approval was increased to 53% to force a match to the recorded vote. Eleven (11) final national pre-election polls gave Bush a 48% approval rating.

2) Party-ID
The unadjusted state exit polls indicated a 38.8-35.1-26.1% Democratic/Republican/Independent Party-ID. But the Final National Exit Poll changed it to to 37-37-26%. What was the rationale? In 2000, Democrats led by 39-35% and in 2004, the vast majority of new voters were registered Democrats. The 37-37 split was not plausible; it was an artificial fudge to force a match to the recorded vote.

This graph shows a near-perfect correlation between Bush’s 2004 unadjusted state exit poll vote shares, approval ratings and Party-ID:
2004 Correlation Analysis

The Ultimate Smoking Gun

In the 1988-2008 presidential elections, 126 of 274 unadjusted state exit polls exceeded the margin of error. The probability is ZERO. The largest discrepancies occurred in 2008 (the MoE was exceeded in 37 states).

Of the 126 exit polls that exceeded the MoE, 123 shifted to the Republican. The probability that this was a random occurrence is ZERO. The red shift from the exit polls to the vote has been in ONE direction and is proof beyond any doubt of systemic election fraud.

The 148 exit poll discrepancies were distributed as follows: 1988:11, 1992:26, 1996:16, 2000:13, 2004:23, 2008:37

The 1988-2008 State and National Presidential True Vote Model

The TVM allows one to run scenarios over a range of assumptions of prior election voter turnout in the current election and incremental changes in current election (NEP) vote shares:
1988-2008 Presidential True Vote Model

Pre-election Polls

The experts and pundits claim that likely voter (LV) pre-election polls have been very accurate in matching the recorded vote. But they don’t tell you that votes are miscounted in every election. Or that their predictions failed to include the majority of newly registered Democratic voters who did not pass the Likely Voter Cutoff Model (LVCM) screen.

They also claim that registered voter polls (RV) don’t reflect actual voter turnout. That is only partially true; not all registered voters turn out. But they don’t tell you that predictions based on RV polls (after allocating undecided voters) closely matched the unadjusted exit polls in 2004, 2006 and 2008.

What the Pundits Don’t Talk About

They don’t mention that over 80 million votes (mostly Democratic) were uncounted in the 11 elections since 1968.

They don’t mention the 11 million uncounted votes in 1988 which may have cost Dukakis the election.

They have been silent about the six million uncounted votes which cost Al Gore the 2000 election.

They never consider the overwhelming evidence that the 2000 and 2004 elections were stolen and that Democratic landslides were denied in 2006 and 2008. Or that Senate and Governor races were likely stolen in 2010.

They never mention the massive documented evidence of Election Fraud, yet never stop talking about non-existent Voter Fraud. They talk about voter suppression as if it is the only problem that needs to be addressed.

They refer to the final exit polls for demographic trends. But they won’t tell you that the finals are always forced to match the recorded vote – and therefore all demographic category crosstabs understate the Democratic vote.

They claim that the final 2004 pre-election polls predicted a Bush win. But they don’t tell you that the weighted average predicted a Kerry win. Or that they were based on LV polls before allocating undecided voters and that the RV polls, adjusted for undecided voters, predicted a 51-48% Kerry win.

They claim that Bush won by 3 million votes. But they won’t tell you that to match the recorded vote, the Final 2004 NEP required 6 million more returning Bush 2000 voters than were alive in 2004 – a mathematically impossible 110% turnout.

They claim that in the 2006 midterms, the Democrats won the House by 52-46% (230-205 seats). But they nevert mention that the Democrats won all 120 pre-election Generic Polls. The trend line predicted a 56.4% share – exactly matching the unadjusted National Exit Poll. Approximately 20 House seats were stolen (primarily in FL, OH, NM and IL). The landslide was denied.

They claim that the 2008 pre-election LV polls predicted Obama’s 52.9-45.6% recorded share – a 9.5 million vote margin. But they don’t tell you that RV polls projected that he would win by 57-41%. Or that he had a 58.0% unadjusted state exit poll aggregate share – a 22 million vote margin. Or that he had a massive 61% in the unadjusted NEP (17836 respondents).

They don’t mention that in order to match the recorded vote, the Final 2008 NEP required a 103% turnout of living Bush 2004 voters – or 12 million more returning Bush than Kerry voters. Or that the Final indicated there were 5 million returning third party voters – even though only 1.2 million were recorded in 2004.

They fail to question the 2010 midterms. The Democrats easily won the unadjusted Governor exit polls in Florida and Ohio – but lost the elections. Giannoulias easily won the Illinois Senate exit poll – and lost the election. Sestak lost in Pennsylvania after leading in the exit polls.

They never discuss the evidence which proves that Obama’s 2008 True Vote was reduced by a 5% fraud factor. Considering that the 1988-2008 average Democratic True Vote margin was reduced from 10% to 2% by election fraud, Obama needs 55% just to break even in 2012. He needs another landslide to overcome the fraud factor.

What the Pundits should be doing
- Employ reasonable forecast assumptions using both RV and LV polls.
- Indicate that LV polls are a subset of RV polls.
- Note the Likely Voter Cutoff Model’s built-in bias against new voters.
- Allocate undecided and uncounted votes.
- Use voter mortality rates before estimating new and returning voter turnout.
- Use correlation analysis: exit polls, approval ratings, Party-ID.
- Question why exit polls are always forced to match the recorded vote.
- Question why the NEP indicates more returning voters than are living.

Historical Overview

- In 1988, Dukakis won the unadjusted National Exit Poll (11,645 respondents) by 49.6-48.4% (11,645 respondents). He won the exit polls in the battleground states by 51.6-47.3%. But Bush won by 7 million recorded votes. There were 11 million mostly Democratic uncounted votes.

- In 1992, Clinton won the unadjusted state exit polls (54,000 respondents) by 18 million votes (47.6-31.7%). He won the unadjusted National Exit Poll (15,000 respondents)by 46.3-33.4%. He had 51% in the True Vote Model (TVM). But his recorded margin was just 5.6 million (43.0-37.5%). The Final National Exit Poll (NEP) was forced to match the recorded vote. It implied a 119% turnout of living 1988 Bush voters. There were 10 million uncounted votes. The landslide was denied.

- In 1996, Clinton won the unadjusted exit polls (70,000 respondents) by 16 million votes (52.6-37.1%). His recorded margin was 8 million (49.2-40.8%). He had 53.6% in the TVM. The Final National Exit Poll (NEP) was forced to match the recorded vote. There were 10 million uncounted votes. The landslide was denied.

- In 2000, Gore won the unadjusted state exit polls (58,000 respondents) by 6 million votes (50.8-44.4%). He had 51.5% in the TVM. He won the recorded vote by just 540,000. There were 6 million uncounted votes. The election was stolen.

- In 2004, Kerry won the unadjusted state exit poll aggregate (76,000 respondents) by 51.1-47.5%. He won the unadjusted National Exit Poll (13,660 respondents) by 51.7-47.0%, a 6 million vote margin. He had 53.6%, a 10 million vote margin, in the True Vote Model But he lost by 3.0 million recorded votes. There were 4 million uncounted votes. The election was stolen.

To Believe Bush Won Fairly You Must Believe…

- In 2008, Obama won the unadjusted state exit poll aggregate (83,000 respondents) by 58.0-40.3%, a 23 million vote margin – a near-exact match to the TVM. He won the unadjusted National Exit Poll (17,836 respondents) by a whopping 61-37%. Officially, he had 52.9% and won by 9.5 million votes. The landslide was denied.

2004 Election Model Graphs

National Polling Trend

Electoral vote and win probability

Electoral and popular vote

Undecided voter allocation impact on electoral vote and win probability

National Poll Trend

Monte Carlo Simulation

Monte Carlo Electoral Vote Histogram