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

Richard Charnin
Nov. 19, 2014

http://richardcharnin.com/

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

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

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

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

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

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

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

Bush had 50.5 million recorded votes in 2000. Approximately 2 million died and another million did not return in 2004. Therefore, there were at most 47.5 million returning Bush 2000 voters. The National Exit poll indicated that 52.6 million Bush 2000 voters returned in 2004. The pollsters had to create at least 5 million phantom Bush voters. Of course, this made no sense. But who questioned it? Who even knew about it? 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 defeated Sink with 50.59% of the 2-party vote. But Sink easily won the unadjusted exit poll. 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 recorded vote by 6%, so it is reasonable to assume that there would have been more returning Obama voters than McCain voters – and the unadjusted exit poll indicates precisely that. Sink won the election. 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 crosstab How Did You Vote in 2010 is not listed, so let’s look at the Florida Party ID demographic. Democrats have traditionally outnumbered Republicans in Florida.

In 2014, the Democrats led in voter registration:
Total..... Dem .........Rep..... Other
11,931,533 4,628,178 4,172,232 3,131,123
.......... 38.79%.... 34.97%... 26.24%

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 an anomalous disconnect between Party ID and vote share.

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

In 2010, Walker won by 124,638 votes with a 52.3% share. in 2012, he won the recall by 171,105 votes with 53.1%. But the True Vote Model (TVM) showed that he needed 23% of Obama returning voters to match the recorded vote. That is extremely implausible – and a red flag. It’s further evidence that Barrett won the election. 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
Walker won with a 52.9% share. The exit poll was forced to match the 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%). This is highly anomalous and another “tell” that Walker stole the election. 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

An excellent paper from mathematician Kathy Dopp:

http://electionmathematics.org/em-audits/US/2014/USElections2014.pdf

 

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Wisconsin 2014 Governor True Vote/Exit Poll Analysis Indicates Fraud

Wisconsin 2014 Governor True Vote/Exit Poll Analysis Indicates Fraud

Richard Charnin
Nov.19, 2014
Update:Nov.21, 2014

http://richardcharnin.com/

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.

For the first time since 2000, I decided not to do election forecasting and post-election True Vote analysis for 2014. Systemic Election Fraud has been proven beyond any doubt, so why bother? Nothing has changed, the media remains mute on election fraud and congress refuses to do anything about it.

I worked closely with Wisconsin election reform activists on the 2011 Supreme Court election, the state recalls and the Walker recall. But since I decided to bypass 2014, I was not even aware of who was running against Walker. When I was asked to look into the election, I felt like Al Pacino in Godfather III:Just when I think I am out of it, they pull me back in again.

Once again, the mantra must be repeated: The key to understanding how elections are rigged is to take a close look at the exit polls. Unadjusted exit polls are not released until years later, so we are left with the adjusted polls (national, state, governor) for clues. The 2014 election was 2012 deja vu all over again.

This is the direct link to the 2014 Wisconsin Governor True Vote analysis: https://docs.google.com/spreadsheets/d/1oAq0CJ1QSfy4JaNYpM_5esTafUdpt3ipgJU0Iz8RlD0/edit#gid=841488888

There is a distinct pattern which keeps repeating: exit polls are adjusted to match the recorded vote. That is a fact; the pollsters admit it, but claim that they do it to correct the polls. The assumption is that the recorded vote count is pristine and that there is no fraud. At least that is what the pollsters and pundits would like you to believe. But there is no longer any doubt: elections are routinely fraudulent.

In order to adjust the exit poll to match the recorded vote, the returning voter mix from the previous election and/or each candidate’s share of returning and new voters must be changed. All other crosstabs must be adjusted. I have stated this often in posts as far back as 2004 as well as in my books.

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

I also created another spreadsheet which tracks cumulative vote shares for each county, based on increasing unit/ward voting size. The odd pattern of increasing Walker vote shares is similar to that of the 2012 recall. It is indicative of fraud, especially in Milwaukee and Racine counties. http://richardcharnin.wordpress.com/2014/12/02/11623/

2014 NEP (forced to match the recorded vote)
This sheet contains a selected set of crosstabs (demographics). The Gender demographic is within 0.1% of the recorded vote because it was forced to match the vote. The exit poll margin of error was approximately 2%. The probability of a 0.1% deviation is close to zero. The 0.1% deviation illustrates that the pollsters forced the match. But that’s not news. It’s standard operating procedure – and unscientific. It’s no different then a serial thief daring the police to stop him. But they never do even though they have the statistical evidence of fraud and a signed confession.

WI Exit Poll (forced to match the recorded vote)
The poll was forced to match the bogus recorded vote by adjusting the number of returning voters. It shows that returning Walker voters were 50% of the 2014 total. while Barrett voters were just 35% of the total. The 15% differential is much higher than the 7% Walker recorded margin in 2012 (8% discrepancy) and the 6% Barrett True Vote margin ( 21% discrepancy). Just as in presidential election exit polls, the returning voter percentages are implausible. So how could there be a 15% excess of returning Walker voters over returning Barrett voters?

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

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

WISCONSIN 2014 EXIT POLL (forced to match recorded vote)
GENDER..........TOTAL BURKE WALKER
Male............49% 39.0% 60.0%
Female..........51% 54.0% 45.0%
Total..........100% 46.7% 52.4% Walker Margin:5.7%
Recorded.......100% 47.1% 52.9% Walker Margin:5.8%
Difference.......-0.46% -0.54% Difference: 0.08%

HOW VOTED IN 2012 RECALL (suspicious turnout in 2014 and 14% na)
RECORDED VOTE..TOTAL BURKE WALKER
Tom Barrett.....35% 96.0% 4.0%
Scott Walker....50% 5.0% 94.0%
Other na........3% 50.0% 50.0% (na, set to 50/50)
DNV na..........11% 50.0% 50.0% (na, set to 50/50)
TOTAL...........99% 43.1% 55.4% Walker Margin:12.3%

TRUE VOTE......TOTAL BURKE WALKER
Tom Barrett.... 45% 96.0% 4.0% (set to plausible 45/41 returning voter mix)
Scott Walker....41% 5.0% 94.0%
Other...........3% 50.0% 50.0%
DNV.............11% 52.0% 48.0% (adjust new voter shares)
TOTAL..........100% 52.5% 47.1% Burke Margin:5.4%

Counties
Now, getting back to Wisconsin 2014, we see that there is a significant 0.24 correlation between Walker’s 2014 county votes and turnout (it was 0.28 in the 2012 recall). This measure indicates that as turnout increased, so did Walker’s vote share. But it is counter-intuitive; strong turnout always favors the Democrats.

The True Vote Model
The TVM was used in 2012 and prior elections. The data is updated for 2014 using 2012 returning voters and 2014 vote share percentages. The base case scenario:
1) Barrett had a 53% True Vote in the 2012 recall
2) 93% turnout of 2012 living voters in 2014
3) Burke had 92% of returning Barrett voters
4) Burke had 7% of returning Walker voters
5) Burke had 54% of new voters.

In this Base Case scenario, Burke had a 52.2% share and won by 107,000 votes.

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

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

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

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

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

An excellent paper from mathematician Kathy Dopp:

http://electionmathematics.org/em-audits/US/2014/USElections2014.pdf

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

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

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

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

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

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

 

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Summary: 2004-2012 Election Forecast; 1968-2012 True Vote Model

Summary: 2004-2012 Election Forecast; 1968-2012 True Vote Model

Richard Charnin
Sept. 14, 2014

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

1988 (24 unadjusted state exit polls)
Recorded Vote: Bush 53.4-Dukakis 45.7%
Unadjusted National Exit Poll: Dukakis 49.8-49.1%
Unadjusted State Exit Polls aggregate: Dukakis 51.6-47.3%
True Vote Model: Dukakis 50.2-48.8% https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=13

1992
Recorded Vote: Clinton 43.0-Bush 37.4%
Unadjusted National Exit Poll: Clinton: 46.3-33.5%
Unadjusted State Exit Polls aggregate: Clinton: 47.6-31.7%
True Vote Model: Clinton: 51.1-30.4% https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=17

1996
Recorded Vote: Clinton 49.2-Dole 40.8%
Unadjusted National Exit Poll: Clinton 52.2-37.5%
Unadjusted State Exit Polls aggregate: Clinton 52.7-37.0%
True Vote Model: Clinton 53.6-36.5% https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=16

2000
Recorded Vote: Gore 48.4-Bush 47.9%
Unadjusted National Exit Poll: Gore 48.5-46.3%
Unadjusted State Exit Polls aggregate: Gore 50.8-44.4%
True Vote Model: Gore 51.5-44.7% http://richardcharnin.wordpress.com/2011/11/21/unadjusted-state-exit-polls-indicate-that-al-gore-won-a-mini-landslide-in-2000/ https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=4

2004
Recorded Vote: Bush 50.7-Kerry 48.3%, 255 EV
Election Forecast Model: Kerry 51.8%, 337 EV (snapshot)
Unadjusted National Exit Poll: Kerry 51.7-47.0%
Unadjusted State Exit Polls aggregate: Kerry 51.1-47.6%, 337 EV
True Vote Model: Kerry 53.6-45.1%, 364 EV
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=0AjAk1JUWDMyRdGN3WEZNTUFaR0tfOHVXTzA1VGRsdHc#gid=0

2008
Recorded Vote: Obama 52.9-McCain 45.6%, 365 EV
Election Forecast Model: Obama 53.1%, 365.3 EV (simulation mean)
Unadjusted National Exit Poll: Obama 61.0-37.2%
Unadjusted State Exit Polls aggregate: Obama 58.0-40.5%, 420 EV
True Vote Model: Obama 58.0-40.4%, 420 EV
http://www.richardcharnin.com/2008ElectionModel.htm https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=1

2012
Recorded vote: Obama 51.0-Romney 47.2%, 332 EV
Election Forecast (2-party): Obama 51.6-Romney 48.4%, 332 EV (Snapshot)
True Vote Model: Obama 55.2%, 380 EV

Unadjusted National Exit Poll unavailable
Unadjusted State Exit polls unavailable (19 states not polled)

http://richardcharnin.wordpress.com/2012/10/17/update-daily-presidential-true-voteelection-fraud-forecast-model/ https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdDQzLWJTdlppakNRNDlMakhhMGdGa0E#gid=8

The Ultimate Smoking Gun that proves Systemic Election Fraud:

Presidential Summary

Election.. 1988 1992 1996 2000 2004 2008 Average
Recorded Vote
Democrat.. 45.7 43.0 49.3 48.4 48.3 52.9 47.9
Republican 53.4 37.4 40.7 47.9 50.7 45.6 46.0

Unadjusted Aggregate State Exit Polls (weighted by voting population)
Democrat.. 50.3 47.6 52.6 50.8 51.1 58.0 51.7
Republican 48.7 31.7 37.1 44.4 47.5 40.3 41.6

Unadjusted National Exit Poll
Democrat.. 49.8 46.3 52.6 48.5 51.7 61.0 51.7
Republican 49.2 33.5 37.1 46.3 47.0 37.2 41.7

1988-2008 Red-shift Summary (274 exit polls)
The following table lists the
a) Number of states in which the exit poll red-shifted to the Republican,
b) Number of states which red-shifted beyond the margin of error,
c) Probability of n states red-shifting beyond the MoE,
d) Democratic unadjusted aggregate state exit poll share,
e) Democratic recorded share,
f) Difference between Democratic exit poll and recorded share.

Year RS.. n>MoE Probability..Exit Rec'd Diff
1988 21.. 12... 2.5E-12..... 50.3 45.7 4.6 Dukakis may have won
1992 45.. 27... 1.1E-26..... 47.6 43.0 4.6 Clinton landslide
1996 44.. 19... 2.5E-15..... 52.6 49.3 3.3 Clinton landslide
2000 34.. 17... 4.9E-13..... 50.8 48.4 2.4 Gore win stolen
2004 42.. 23... 3.5E-20..... 51.1 48.3 2.8 Kerry landslide stolen
2008 46.. 37... 2.4E-39..... 58.0 52.9 5.1 Obama landslide denied

Total 232 135... 3.7E-116..... 51.7 47.9 3.8
* 274 exit polls (24 in 1988, 50 in each of the 1992-2008 elections)

 

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Spreadsheet Links: JFK Witness Probability Database, True Vote Models, Unadjusted Exit Polls

Spreadsheet Links

Richard Charnin
Nov.1, 2014

http://richardcharnin.com/


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

JFK Calc: http://richardcharnin.wordpress.com/2013/10/14/jfk-witness-deaths-graphical-proof-of-a-conspiracy/ http://richardcharnin.wordpress.com/2014/04/09/jfk-calc-questions-on-the-spreadsheet-analysis/ 

https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdDFSU3NVd29xWWNyekd2X1ZJYllKTnc#gid=1

1988-2008 Unadjusted Exit Polls: http://richardcharnin.wordpress.com/2011/11/13/1988-2008-unadjusted-state-exit-polls-statistical-reference/ https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=15

1988-2012 State and National True Vote Model: http://richardcharnin.wordpress.com/2011/09/16/footprints-of-systemic-election-fraud-1988-2004-state-exit-poll-discrepancies/ https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdGN3WEZNTUFaR0tfOHVXTzA1VGRsdHc#gid=0

1968-2012 National True Vote Model: http://richardcharnin.wordpress.com/2013/01/24/1968-2012-presidential-election-fraud-an-interactive-true-vote-model-proof/ https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFpDLXZmWUFFLUFQSTVjWXM2ZGtsV0E#gid=4

2012 True Vote Model:http://richardcharnin.wordpress.com/2012/10/17/update-daily-presidential-true-voteelection-fraud-forecast-model/ https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdDQzLWJTdlppakNRNDlMakhhMGdGa0E#gid=14

2004 Election Monte Carlo Forecast and Exit Poll Simulation: http://richardcharnin.wordpress.com/2011/09/01/monte-carlo-simulation-election-forecasting-and-exit-poll-modeling/ https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdDU5VERHay1mZExaT0lMRVhOXzg2aHc#gid=1

2004 County Presidential True Vote:http://richardcharnin.wordpress.com/2012/03/06/2000-2004-presidential-elections-county-true-vote-model/ https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdDNzZWhMcF9sS3pHRWdUZE8zdEs4aGc&usp=drive_web#gid=23

Walker Recall: https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdDRwcWRPTUZoZk53YUlxOEVMT0FnX3c#gid=36

Walker Recall: County/Muni True Vote:http://richardcharnin.wordpress.com/2012/07/24/the-walker-recall-municipal-database-a-true-vote-model/ https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdEd0NFV5QV9DclZFTDJ3aHpqRVh4LWc&usp=drive_web#gid=1

Walker Recall Cumulative Vote Shares: http://richardcharnin.wordpress.com/2012/12/09/walker-recall-county-cumulative-vote-trend-by-ward-group/ https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdF95dGdleVBSYkdISmplWVZXdXlQQ0E&usp=drive_web#gid=1

Wisconsin True Vote: Supreme Court, State Senate Recalls, 2010 Senate: http://richardcharnin.wordpress.com/2011/08/11/did-the-gop-steal-the-wisconsin-recall-elections-a-true-vote-analysis/ https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdDVmLVZzZVhsVUhRUTFaanFaZG82cFE#gid=2

2008 WI Presidential Cumulative Vote Shares: https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdHRSak5RNHNWUTdWYjNLYlFNUzlxLXc#gid=1

Latin American Leader Cancer: https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdGFXXzNqT1NYdjNVMWpBc0dDaEN0R0E&usp=drive_web#gid=0

 
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Posted by on November 1, 2013 in Uncategorized

 

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The Election Fraud Quiz II

The Election Fraud Quiz II

Richard Charnin
Sept. 23, 2013

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

 

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Sensitivity Analysis proves a JFK Conspiracy and Systemic Election Fraud

Sensitivity Analysis proves a JFK Conspiracy and Systemic Election Fraud

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

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

JFK Blog Posts
JFK Calc Spreadsheet Database

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

JFK Assassination Witnesses

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

But 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)

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

 

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The True Vote Model: A Mathematical Formulation

The True Vote Model: A Mathematical Formulation

Richard Charnin
Feb.5, 2013

According to the adjusted 1988, 1992, 2004 and 2008 National Exit Polls, there were millions more returning Bush voters from the previous election than were still living – a mathematical impossibility and proof of election fraud beyond any doubt.

It’s obvious that there must be fewer returning voters than the number who voted in the prior election. Approximately 5% of voters pass in the four years between elections. ALL exit polls are adjusted (forced) to match the recorded vote. It’s no secret. It’s the standard, stated policy of the National Election Pool. The insane rationale for the forced match is that the recorded vote is always fraud-free. But the real reason is to hide the extent of fraudulent vote miscounting.

The adjusted, published exit poll is a Matrix of Deceit. The True Vote Model (TVM) replaces the impossible, forced adjustments made to the unadjusted exit polls with a feasible, plausible estimate of returning voters.

The TVM applies to all elections, not just national. Presidential elections are used in this analysis as they are well-known; historical data is readily available. The TVM has been used to analyze congressional, senate and recall elections – and has uncovered strong evidence of fraud.

A matrix is a rectangular array of numbers. The 1968-2012 National True Vote Model (TVM) is an application based on Matrix Algebra. The key to understanding the theory is mathematical subscript notation. The actual mathematics is really nothing more than simple arithmetic.

The model is easy to use. Just two inputs are required: the election year and calculation method (1-5). Calculation methods are the following:

1- National Exit Poll
(returning voters (and vote shares) adjusted to match the fraudulent recorded vote)

True Vote Methods: Returning voters based on the previous election
2- recorded vote
3- votes cast (including allocated uncounted votes)
4- unadjusted national exit poll
5- True Vote

The National True Vote Model is based on total votes cast in the previous and current election. The True Vote Model (TVM) is a set of linear equations which calculate each candidate’s share of a) previous election returning voters and b) new voters who did not vote in the previous election.

In each election, the Final National Exit Poll vote shares are used – except for 2004 in which 12:22am shares are used; they were “adjusted” and forced to match the recorded vote.

The US Vote Census provides an estimate of the number of votes cast in each election. Total votes cast include uncounted ballots, as opposed to the official recorded vote. There were approximately 40 million uncounted votes in the 6 elections from 1988-2008. Uncounted ballots are strongly Democratic.

Sensitivity Matrix: alternative scenarios
These tables gauge the sensitivity of the total candidate vote shares to changes in their shares of returning and new voters.

In 2004,Bush won the recorded vote by 3 million (50.7-48.3%). However, at the 12:22am National Exit Poll timeline (13047 respondents), Kerry had 91% of returning Gore voters, 10% of returning Bush voters and 57% of New voters. In this base case scenario, Kerry had a 53.6% True Vote share and 10.7 million vote margin.

Sensitivity analysis indicates that Kerry won all plausible (and implausible) scenarios. Bush needed an impossible 110% turnout of Bush 2000 voters to win the fraudulent recorded vote.

Adjusting the base case vote shares to view worst case scenarios:
1) Kerry has 91% (no change) of returning Gore voters, just 8% of returning Bush voters and 53% of New voters. Kerry’s total vote share is reduced to 52.1% and a 7.2 million winning margin.

2) Kerry has just 89% of returning Gore voters, 8% of returning Bush voters and 57% of New voters (no change). Kerry’s total vote share is reduced to 52.0% and a 6.9 million margin.

3) Assume the base case vote shares, but change the 98% returning 2000 voter turnout rate to 94% for Gore and 100% for Bush. Kerry’s total vote share is reduced to 52.7% and a 8.5 million margin.

4) Assume the base case 98% turnout of returning Gore and Bush voters and 91% Kerry share of returning Gore voters. To match the fraudulent recorded vote, Bush needed 61% of New voters compared to his 41% exit poll share. He also needed 96% of returning Bush voters compared to his 90% exit poll share. The required shares easily exceeded the 2% margin of error. The probabilities are infinitesimal.

Returning voters
The number of returning voters (RV) is estimated based on previous election voter mortality (5%) and an estimated turnout rate (TR).

Let TVP = total votes cast the in previous election.
Let TVC = total votes cast in the current election.

In 2000, 110.8 million votes (TVP) were cast. Voter mortality (VM) is 5% over four years. In the base case, we assume equal 98% turnout (TR) of living 2000 voters. We calculate (RV) returning 2000 voters:
RV = TVP * (1- VM) * TR
RV = 103.2 = 110.8 * .95 * .98

In 2004, 125.7 million votes were cast. The number of new 2004 voters (TVN) is the difference between 2004 votes cast (TVC) and returning 2000 voters (RV):
TVN = TVC – RV
TVN = 24.5 = 125.7 – 103.2

Matrix notation
V (1) = returning Democratic voters
V (2) = returning Republican voters
V (3) = returning other (third-party) voters
RV = V (1) + V (2) + V (3) = total returning voters
V (4) = TVC – RV = number of new voters.

Calculate m (i) as the percentage mix of total votes cast (TVC) for returning and new voters V(i):
m (i) = V (i) / TVC, i=1, 4

Let a (i, j) = candidates (j=1,3) vote shares of returning and new voters (i=1,4).

True Vote calculation matrix
Vote Mix Dem Rep Other
Dem m1 a11 a12 a13
Rep m2 a21 a22 a23
Oth m3 a31 a32 a33
Dnv m4 a41 a42 a43

The total Democratic share is:
VS(1) = ∑ m(i) * a(i, 1), i=1,4
VS(1)= m(1)*a(1,1) + m(2)*a(2,1) + m(3)*a(3,1) + m(4)*a(4,1)

Republican share:
VS(2)= m(2)*a(1,2) + m(2)*a(2,2) + m(3)*a(3,2) + m(4)*a(4,2)

Third-party share:
VS(3)= m(3)*a(1,3) + m(2)*a(2,3) + m(3)*a(3,3) + m(4)*a(4,3)

Mathematical vote share constraints
Returning and new voter mix percentages must total 100%.
∑m (i) =100%, i= 1, 4

Candidate shares of returning and new voters must total 100%.
∑a (1, j) =100%, j=1, 3
∑a (2, j) =100%, j=1, 3
∑a (3, j) =100%, j=1, 3
∑a (4, j) =100%, j=1, 3

Democratic + Republican + third-party vote shares must total 100%.
∑ VS (i) = 100%, i=1,3

Adjusted 2004 National Exit Poll (match recorded vote)
2000 Votes Mix Kerry Bush Other Turnout
Gore 45.25 37% 90% 10% 0.0% 93.4%
Bush 52.59 43. 9.0 91. 0.0 109.7 (impossible)
Other 3.67 3.0 64. 14. 22. 97.7
DNV. 20.79 17. 54. 44. 2.0 -
Total 122.3 100% 48.3% 50.7% 1.0% 101.4%

2004 True Vote Model
2000 Votes Mix Kerry Bush Other Turnout
Gore 52.13 41.5% 91% 9.0% 0% 98%
Bush 47.36 37.7 10.0 90.0 0.0 98
Other 3.82 3.00 64.0 14.0 22. 98
DNV. 22.42 17.8 57.0 41.0 2.0 -
Total 125.7 100% 53.5% 45.4% 1.0% 98%

Kerry share of New voters (DNV)
Pct 39.% 55.% 57.% 59.% 61.%
of Bush........ Kerry % Vote Share
12% 51.1 54.0 54.3 54.7 55.1
11% 50.7 53.6 54.0 54.3 54.7
10% 50.4 53.2 53.6 53.9 54.3
9.% 50.0 52.9 53.2 53.6 53.9
4.% 48.1 51.0 51.3 51.7 52.1
............... Kerry Margin
12% 4.6 11.8 12.8 13.6 14.6
11% 3.7 10.9 11.8 12.7 13.6
10% 2.7 10.0 10.9 11.8 12.7
9.% 1.8 9.0 9.91 10.8 11.7
4% -2.9 4.3 5.18 6.08 7.00

..........Returning Gore Voter Turnout
Bush 94.% 95.% 96.% 97.% 98.%
Turnout..... Kerry % Vote Share
96% 53.4 53.5 53.7 53.8 53.9
97% 53.2 53.3 53.5 53.6 53.8
98% 53.0 53.2 53.3 53.4 53.6
99% 52.8 53.0 53.1 53.3 53.4
100% 52.7 52.8 52.9 53.1 53.2
............... Kerry Margin
96% 10.3 10.7 11.0 11.4 11.8
97% 9.86 10.3 10.6 10.9 11.3
98% 9.42 9.78 10.1 10.5 10.9
99% 8.97 9.33 9.69 10.1 10.4
100% 8.52 8.88 9.24 9.60 9.96

 
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Posted by on February 5, 2013 in True Vote Models

 

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