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Presidential Electoral Vote Simulation Model: 2000, 2004, 2008, 2012


Presidential Electoral Vote Simulation Model: 2000, 2004, 2008, 2012

Richard Charnin
Feb. 16, 2016

Look inside the books:
Proving Election Fraud 
Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts

Each simulation is based on the 2-party unadjusted state exit polls and recorded vote shares. The Total Electoral Vote is calculated based on the results of 500 election simulation trials. 

The probability of winning each state is required to calculate the probability of winning 270 Electoral Votes. The state win probability is based on the two-party exit poll (or recorded vote share) and the margin of error (MoE). Win Prob = NORMDIST (vote share, 0.5, MoE/1.96, true)

The Electoral Vote Win probability is the number of winning simulation trials / 500.

Run the simulation

Input Code
Enter an input code (1-8) in cell A6  to indicate the election and the simulation method: state exit polls or recorded votes. For example, code 3 indicates the 2004 exit polls.

2000: 1- exit poll, 2- recorded votes
2004: 3- exit poll, 4- recorded votes
2008: 5- exit poll, 6- recorded votes

2000
Gore defeated Bush by  544,000 recorded votes but lost the electoral vote. But Gore won the unadjusted state exit poll aggregate by 50.7-45.6%. Given 105.4 million recorded votes, the exit polls indicated that Gore won by at least 5 million votes. He led the exit polls in 11 states with 154 electoral votes which all flipped to Bush. If Gore had captured just ONE of the 11 states, he would have won the election.

2004
Bush had 50.5 million recorded votes in 2000. Kerry had a 48.3% recorded share and 252 EV and lost by 62-59 million votes. 

In order to match the 2004 recorded vote, the 2004 National Exit Poll indicated an impossible 110% turnout of 52.6 million living Bush 2000 voters in 2004.

Uunadjusted state and national exit polls indicated that Kerry had 51-52% and won by 5-6 million votes with 349 EV. Seven states with 97 electoral votes flipped from Kerry in the exit polls to Bush in the recorded vote: CO,FL,IA,MO,NV,OH,VA. Kerry would have had 349 electoral votes had he won the states. The True Vote Model indicates that he had 53.5% and won by 10 million votes.

2008
Obama had a 52.9% recorded share (a 9.5 million vote margin) and 365 electoral votes. But he had a 58% share in the unadjusted state exit polls (matched by the True Vote Model) which indicates that he won by 23 million votes and had 420 electoral votes.

Obama led the unadjusted 2008 National Exit Poll (17,836 respondents, 2% MoE) by 61-37%, an astounding 30 million vote margin.

2012
Only 31 states were exit polled. The  unadjusted state and national exit polls were not available so the State True Vote Model shares were used for the simulation. Obama had 55% of early voters and 59% of 11.7 million late provisional and absentee ballots. But he lost on Election Day by 50-48% for a 51-47% total margin. The True Vote Model indicated that he had at least 55%.

Simulation Posts:

1988-2008 State and National Presidential True Vote Model

https://richardcharnin.wordpress.com/2011/10/31/a-simple-expected-electoral-vote-formula-simulation-or-meta-analysis-not-required/
https://richardcharnin.wordpress.com/2011/09/01/monte-carlo-simulation-election-forecasting-and-exit-poll-modeling/
https://richardcharnin.wordpress.com/2011/11/13/1988-2008-unadjusted-state-exit-polls-statistical-reference/

https://richardcharnin.wordpress.com/2013/01/24/1968-2012-presidential-election-fraud-an-interactive-true-vote-model-proof/
https://richardcharnin.wordpress.com/2012/03/18/the-2004-2008-county-presidential-true-vote-database-model/

 
 

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Nate Silver and Election Fraud

Richard Charnin
Nov. 17, 2014

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

JFK Blog Posts
Probability/ Statistical Analysis Spreadsheets:
JFK Calc: Suspicious Deaths, Source of Shots Surveys;
Election Fraud: True Vote Models, State and National Unadjusted Exit Polls

Once again, Nate Silver misdirects his readers in reviewing the 2014 elections. He claims that the polls were biased to the Democrats. He never considers that the polls were close to the true vote but that the vote counts were rigged. http://fivethirtyeight.com/features/the-polls-were-skewed-toward-democrats/

Nate Silver never discusses Election Fraud, even though it has been proven systemic. I pointed this a few years ago in a reply to his post on why we should not believe exit polls. His knowledge of exit polls was (and apparently still is) non-existent. https://richardcharnin.wordpress.com/2012/11/17/a-reply-to-nate-silvers-ten-reasons-why-you-should-ignore-exit-polls/

As usual Nate cites polling “bias”. But not a word about the fact that early pre-election polls include all registered voters (RVs). As we move toward Election Day, the polls are transformed to the subset of Likely Voters (LVs) – with the effect of reducing projected Democratic turnout and vote share.

The true bias is that pollsters skew the projections in order to match the expected fraudulent recorded vote. Nate Silver never considers that the RV polls are usually close to the truth – but that the LV polls are biased against the Democrats. So it’s just the opposite from Nate’s view. He believes the official vote counts are accurate, but researchers who analyze the historical record see a consistent 4-5% “red shift” to the GOP. It is absolute proof that the recorded vote counts are fraudulent and biased for the Republicans. http://electiondefensealliance.org/?q=voter_cutoff_model

Nate never discusses the fact that exit polls are always forced to match the bogus recorded vote. The pollsters admit that it is standard operating procedure. Their rationale is that the polls must always be wrong since they deviate so greatly from the recorded vote. Of course we never get to see the unadjusted exit polls until years later, if then. The 1988-2008 unadjusted presidential state and national exit polls showed that the Democrats won by an average of 52-42%. But the recorded vote had them winning by just 48-46%
I just posted the True Vote model for the Wisconsin and Florida governor races. Both races were stolen in 2014- just like they were in 2010 and the 2012 Walker recall. .

In the 2010 Florida Governor election, the unadjusted exit poll and the True Vote Model indicated that Sink won by 5%, yet Scott won the recorded vote by 1%. In 2014, Scott won again. The 2-party vote shares were identical! Scott had 50.59% in 2010 and 50.58% in 2014! A coincidence? Hardly.The Florida 2014 Exit Poll indicates a 31-35-33 Dem-Rep-Ind split (over-weighted for Republicans) with 91% of Dems voting for Crist, 88% of Repubs voting for Scott. Crist won Independents by 46-44%. When we change the split to a more plausible 34-33-33, Crist is the winner by 49.4-45.6%. https://richardcharnin.wordpress.com/2014/11/14/florida-2014-governor-true-voteexit-poll-analysis-indicates-fraud/

In the 2014 Wisconsin Governor election, a True Vote analysis indicates that Walker stole the election, just like the recall in 2012. View the True Vote analysis: https://richardcharnin.wordpress.com/2014/11/12/wisconsin-2014-governor-true-voteexit-poll-analysis-indicates-fraud/

The easiest way to understand that our elections are fraudulent is to look at the 2004 presidential election. According to the adjusted 2004 National Exit Poll (as posted on major media sites), there were 52.6 million returning Bush 2000 voters (43% of the 2004 electorate) and 37% returning Gore voters. Recall that Gore won the popular vote by 540,000. Gore won the unadjusted exit polls by 50-45% (he actually won the True Vote by 3-5 million).

But Bush had only 50.5 million recorded votes in 2000. Approximately 2 million died and one million did not return. Therefore, there were at least 5 million (52.6-47.5) phantom Bush voters. The exit pollsters had to adjust the unadjusted, pristine National Exit poll which showed Kerry a 52-47% winner to make Bush a 51-48% winner. Bush needed an impossible 110% turnout of living Bush 2000 voters to match the recorded vote. https://richardcharnin.wordpress.com/2012/04/05/fixing-the-exit-polls-to-match-the-policy/

And finally, here is the ultimate proof of systemic election fraud. In the 274 state presidential unadjusted exit polls from 1988-2008, the Democrats won the polls by 52-42%, exactly matching my True Vote Model. But they won the recorded vote by just 48-46%. Of the 274 exit polls 135 exceeded the margin of error, 131 in favor of the Republican. The probability P of that discrepancy is E-116 or
P= 0.0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 0000000000 000001.

1988-2008 Unadjusted State and National Exit Poll Database

Take anything from Nate Silver with a BIG GRAIN OF SALT. He never mentions PROVEN ELECTION FRAUD . And don’t forget that he had the gall to rank famous pollster Zogby dead last in his evaluation of pollsters a number of years back while ranking dedicated GOP pollsters at the top.

I have written several open-letter posts for Nate. He has not responded to any.

1. An Open Letter to Nate Silver http://richardcharnin.com/OpenLettertoNateSilver.htm
2. An Open Letter to Nate Silver (Part 2) http://richardcharnin.com/OpenLettertoNateSilver.htm
3.Twenty-five Questions for Nate Silver http://richardcharnin.com/TwentySilver.htm
4.A Reply to Nate Silver’s “Ten Reasons Why You Should Ignore Exit Polls” https://richardcharnin.wordpress.com/2012/11/17/a-reply-to-nate-silvers-ten-reasons-why-you-should-ignore-exit-polls/
5. Zogby vs. Silver: 1996-2008 True vs. Recorded Vote Pollster Rankings http://richardcharnin.com/SilverRankings.htm

The bottom line: Nate works for the major corporate media which is not interested in divulging why pre-election and exit pollsters adjust the polls to match fraudulent vote counts. They will never plead guilty.

This is a summary of my track record in forecasting the 1988-2012 presidential elections, unadjusted exit polls and True Vote Models. https://richardcharnin.wordpress.com/2014/09/14/summary-2004-2012-election-forecast-1968-2012-true-vote-model/

 
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Posted by on November 17, 2014 in Election Myths, Media, Rebuttals

 

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2014 Election : Why won’t the National Election Pool Release UNADJUSTED exit polls?

Richard Charnin
Nov.8, 2014

2014 Election: Why won’t the National Election Pool Release UNADJUSTED exit polls?

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

JFK Blog Posts
Probability/ Statistical Analysis Spreadsheets:
JFK Calc: Suspicious Deaths, Source of Shots Surveys;
Election Fraud: True Vote Models, State and National Unadjusted Exit Polls

The analysis of 1988-2014 election anomalies has been proven beyond any doubt that Election Fraud is systemic. If the Democrats or the Republicans were interested in fair elections, election fraud would have been eliminated long ago.  This is apparent based on the historic overview and analysis of election fraud.

In 2012,  the National Election Pool (NEP)  came to realize that unadjusted polls were a clear indicator of fraud  so they just stopped polling in 19 states. And we only have  adjusted state and national exit polls, so that the ability to prove election fraud based on unadjusted exit polls and true vote analysis is reduced.

It’s not just the exit polls that are manipulated. Pre-election Registered Voter (RV) polls are reduced to a Likely Voter (LV) subset, eliminating many new, mostly Democratic voters, as noted by  Jonathan Simon: Vote Counts and Polls: An Insidious Feedback Loop

The pattern is repeated in every election cycle:  a) Registered Voter (RV) pre-election polls  are reduced to a Likely Voter (LV) subset (eliminate many new Democratic voters) and b) unadjusted exit polls are forced to match the recorded vote (4-5% red-shift to GOP).

In 2014, the Republicans won the House recorded vote by 52.3-46.6%. According to the final, adjusted National Exit poll, they won by 51.9-46.1%. The .01% difference in margin was not due to perfect polling of a fraud-free election. It was due to the standard procedure of matching the exit poll to a fraudulent recorded vote.

Final vote shares were calculated for all 2014 National Exit Poll categories. But the actual exit poll responses are adjusted to match the recorded vote. UNADJUSTED STATE AND NATIONAL EXIT POLLS ARE ALWAYS FORCED TO MATCH THE RECORDED VOTE. But we never get to see the unadjusted polls until years later, if then.

Therefore, voters must demand to view the unadjusted exit polls (including polled precincts).  To paraphrase Alec Baldwin in Glengary Glen Ross: The unadjusted national exit polls are gold, but you don’t get them. They’re for closers (the corporate media).

2014 National House Exit Poll

Gender...Mix...Dem... Rep..Other Margin
Men......49.0% 41.0% 57.0% 2.0% 16.0%
Women....51.0% 51.0% 47.0% 2.0% 4.0%
Total..........46.1% 51.9% 2.0% 5.8%
Recorded.......46.6% 52.3% 1.1% 5.7%
Diff............0.5% 0.4% 0.9% 0.1%


The unadjusted national exit polls and the aggregate of state exit polls (adjusted only for state voting population) have closely matched the True Vote Model in all presidential elections since 1988. The True Vote Model has the Democratic margin at 53-41%; the unadjusted state and national exit polls are identical: 52-42%.

The Democrats won the 1988-2008 recorded vote by just 2% (48-46%). There is a consistent 8% exit poll margin discrepancy from the recorded vote. But we don’t have the unadjusted 2014 National Exit Poll. Based on 1988-2008 margins, 2014 would be expected to show a 50-48% unadjusted (true) Democratic margin- and eliminate the 4% red shift to the GOP.

 

This is an excellent paper from mathematician Kathy Dopp:

Click to access USElections2014.pdf

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

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

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

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

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

2012 (2-party state exit poll aggregate shares)
Model: Obama 51.6%, 332 EV (Snapshot) https://richardcharnin.wordpress.com/2012/10/17/update-daily-presidential-true-voteelection-fraud-forecast-model/
Recorded : 51.6%, 332 EV
True Vote Model: 55.2%, 380 EV

 
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Posted by on November 8, 2014 in 2014 Elections, Election Myths

 

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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

https://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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Historical Overview and Analysis of Election Fraud

Richard Charnin
Jan.31, 2013
Updated: Jan. 22, 2017

Historical Overview and Analysis of Election Fraud

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%, yet won the recorded vote by just 48-46%, an 8% margin discrepancy. 

But just because unadjusted exit polls were excellent indicators of fraud in the past does not mean that they were accurate in 2016.   Clinton won the Recorded vote by 48.3-46.2%. Trump led the Election Model recorded vote forecast by 44.4-42.9% which exactly matched the 306-232 EV.

The media was in the tank for Clinton, the establishment candidate. In the pre-election and exit polls, Democratic Party-ID affiliation and corresponding vote shares were inflated at the expense of Independents. The True Vote Model indicates that Trump won Independents by nearly 10%.

Probabilities of the state and national exit poll discrepancies 

The state exit poll margin of error was exceeded in 135 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 135 which exceeded the MoE, 131 red-shifted to the Republican. The probability P of that anomaly is ABSOLUTE ZERO (E-116). That is scientific notation for

P= .000000000 000000000 000000000 000000000 000000000 000000000 000000000 000000000 000000000 000000000 000000000 0000001.

I have written four books on election fraud which prove that the official recorded vote has deviated from the True Vote in every election since 1968.  Except for 2016,  the deviations have  always favored the Republicans. Voting machine “glitches” are not due to machine failures; they are caused by malicious programming.

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 he 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 he 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 Gore by 51.5-44.7%. The Supreme Court awarded the election to Bush (271-267 EV). In Florida, 185,000 ballots were uncounted. Twelve states flipped from Gore in the exit poll to Bush in the recorded vote: AL AR AZ CO FL GA MO NC NV TN TX VA. Gore would have won the election if he captured just one of the states. Democracy died in 2000.

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 with 51.8% of the two-party vote, closely matching the unadjusted exit polls.

The adjusted 2004 National Exit Poll was mathematically impossible; it was forced to match Kerry’s 48.3% recorded vote (the unadjusted NEP indicated that Kerry had 51.7%). The adjusted poll indicated that there were 52.6 million returning Bush 2000 voters (43% of the 122.3 million recorded). But Bush had just 50.5 million votes in 2000; only 48 million were alive in 2004. Assuming a 96% turnout, 46 million voted. Therefore, simple arithmetic shows that the adjusted NEP overstated the number of returning Bush voters by 6.6 (52.6-46) million. In order to match the recorded vote, there had to be an impossible 110% turnout of living Bush 2000 voters.

THE ULTIMATE PROOF THAT THE ELECTION WAS STOLEN IS CONFIRMED BY A) KERRY’S 4 MILLION NEW VOTER MARGIN (22 MILLION NEW VOTERS, NEARLY 60% FOR KERRY), B) 4 MILLION RETURNING GORE MARGIN AND C) 2 MILLION RETURNING NADER MARGIN. KERRY WON BY 10 MILLION VOTES.

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. Kerry’s unadjusted state exit poll aggregate 51.0% share was close to his 51.7% unadjusted National Exit Poll share. He had 53.5% in the True Vote Model. There was further confirmation of a Kerry landslide.

Consider the adjustments made to the 2004 National Exit Poll crosstabs to force a match to the recorded vote.

Bush had a 48% national approval rating in the final 11 pre-election polls. The Final adjusted National Exit Poll was forced to indicate that he had a 53% approval rating. He had just a 50% rating in the unadjusted state exit poll weighted aggregate. Given the 3% differential, we can assume that the 48% pre-election approval rating was also inflated by 3% and was really 45% – a virtual match to the True Vote Model. The exit pollsters had to inflate Bush’s 48% pre-election average rating by 5% in the NEP in order to match the recorded vote. There was a 0.99 correlation ratio between Bush‘s state approval and his 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, it required 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.

The 2012 Presidential True Vote and Election Fraud Simulation Model exactly forecast Obama’s 332 electoral vote based on the state pre-election polls.  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 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 unadjusted state and national exit polls were available, they would most likely show that Obama had 55-56% True Vote share.

In 2016 election analysts calculated that Clinton actually won by 292-246 based strictly on the unadjusted exit polls  which favored Clinton.  They focused on four states that Trump won: WI, NC, MI and PA. The analysts assumed that the exit polls were fairly conducted – just like they had been in the past. But Trump won the post election True Vote model by 48.5-44.3% with 351-187 EV

But why only recount states that Trump narrowly won? What about states he narrowly lost: NV, MN, NM, CO, NH?

https://richardcharnin.wordpress.com/2016/12/01/the-2016-presidential-recounts-why-not-add-these-six-states/

The  uadjusted polls also appear suspicious in  states where they closely matched the recorded vote:  CA IL MI TX MN WA NY. Clinton’s CA margin exceeded Obama’s in 2012 by an implausible 7%. Illegals were encouraged to vote by Obama.

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

1988-2008 State and National Presidential True Vote Model

1968-2012 National Presidential True Vote Model

US Count Votes National Election Data Archive Project
Analysis of the 2004 Presidential Election Exit Poll Discrepancies

2004 True Vote 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 Election Model
Obama 53.1%, 365.3 EV (simulation mean)
Recorded: 52.9%, 365EV
State exit poll aggregate: 58.0%, 420 EV
True Vote Model: 58.0%, 420 EV

2012 Forecast and True Vote Model
Obama 51.6%, 332 EV (Snapshot)
Recorded : 51.6%, 332 EV
True Vote Model: 55.2%, 380 EV

2016 Election Model Forecast
Recorded Vote: Clinton 48.3-46.2%, Trump 306-232 EV
Recorded Forecast: Trump 44.4-42.9% with 306-232 EV
True Vote: Trump 48.5-44.3% with 351-187 EV

Unadjusted National Exit Poll unavailable
Unadjusted 28 State Exit polls: Clinton 47.9-44.7%

 

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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

 
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Posted by on January 19, 2013 in True Vote Models

 

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Final Forecast: The 2012 True Vote/ Election Fraud Model

Final Forecast: The 2012 True Vote/ Election Fraud Model

Richard Charnin
Nov.5, 2012

Click here to link to the model.

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

 
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Posted by on November 5, 2012 in 2012 Election

 

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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”.

Published 10/27/12:
Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts

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

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

 

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Final Forecast: 2012 Presidential True Vote/Election Fraud Model

Final Forecast: 2012 Presidential True Vote/Election Fraud Model

Richard Charnin
Nov 5, 2012

The final 2012 Presidential True Vote/Election Fraud Model exactly forecast Obama’s 332 electoral vote. His projected 51.6% two-party recorded share was close to the actual 51.9%. Obama actually did much better in the True Vote Model forecast (391 EV, 56% two-party). As usual, the systematic fraud factor caused the red-shift. But Obama overcame the fraud, just as he did in 2008.

The 2008 Election Model was also right on the money. It forecast that Obama would have a 53.1% recorded share and 365.3 expected EV. He had 52.9% and 365 EV. But he had 58.0% in the True Vote Model and 420 EV. His 58.0% weighted aggregate share of the unadjusted state exit polls (82,000 respondents) confirmed the True Vote Model. He won the unadjusted National Exit Poll (17,836 respondents) by an astounding 61-37%.

The Presidential True Vote and Monte Carlo Simulation Forecast Model is updated on a daily basis. The election is assumed to be held on the latest poll date.

Final Forecast: 11/06/2012 9am
Obama: 320.7 expected electoral votes; 99.6% win probability (498 of 500 trials).
He had a 332 snapshot EV (actual total).
He led the state poll weighted average by 49.3-46.2% (51.6% 2-party share).
He led 50.4-47.0% in 16 of 18 Battleground states with 184 of 205 EV.

Obama led Romney in the RCP National average: 48.8-48.1%.
Rasmussen and Gallup are Likely Voter (LV) polls which lean to the GOP.
Rasmussen: Romney led 49-48%.
Gallup: Romney led 50-49%. It was 51-46% a week ago.

Obama led in the Rand poll 49.5-46.2% (closely matching the state polls). Unlike the national LV polls, the Rand poll doesn’t eliminate respondents but weights them on a scale of 1-10 (based on voter preference and intention to vote).

The 3% Obama margin increase in the Rand poll over the national LV polls illustrates why the LVs understate Obama’s margin by using the Likely Voter Cutoff Model (LVCM). LV polls are a subset of the registered voter (RV) sample. They always understate the Democratic share. The majority of voters eliminated by the Likely Voter Cutoff Model (LVCM) are Democrats.

The True Vote Model indicates that Obama would have 55.2% of the two-party vote with 371 expected EV in a fraud-free election. Will he be able to overcome the systemic fraud factor?

2012 Presidential True Vote and Monte Carlo Simulation Forecast Model (html)
– The Monte Carlo Electoral Vote Simulation is based on the latest state polls and currently assumes an equal split of undecided voters. The expected electoral vote is the sum of the products of the state win probabilities and corresponding electoral votes.

– The True Vote Model is based on plausible turnout estimates of new and returning 2008 voters and corresponding vote shares.

The model calculates an estimated True Vote forecast for the National aggregate or any state. The calculation is displayed below the input data section. State poll-based national vote shares, electoral vote and probabilities are displayed on the right side of the screen.

2008 True Vote 2012 Vote Pct Obama Romney
Obama 76.2 58.0% 72.4 68.8 54.2% 90% 10%
McCain 53.0 40.3% 50.3 47.8 37.7% 7% 93%
Other. 2.20 1.66% 2.10 1.97 1.6% 50% 50%
DNV ...................8.27 6.5% 59% 41%
Total 131.4 100% 124.8 126.8 100% 56.1% 43.9%
..............True Vote........... 71.1 55.7
............. Recorded Vote....... 51.0% 47.2%
............. Projected 2-party... 51.6% 48.4%
............. Electoral Vote
............. Projected Snapshot.. 332 206
............. 500 Simulation Mean. 321 217
............. Expected True EV.... 385 153
............. EV Win Probability.. 99.8%

This worksheet contains the weekly polling trend analysis.

The polling data is from the Real Clear Politics (RCP) and Electoral-vote.com websites. The simulation uses the latest state polls.

View this 500 election trial simulation electoral vote frequency graph.

1988-2008: 274 State exit polls. An 8% Discrepancy

In the six presidential elections from 1988-2008, the Democrats won the average recorded vote by 48-46%. But they led both state and national exit polls by 52-42%. There were approximately 375,000 respondents in the 274 state polls and 90,000 respondents in the six national polls. Overall, an extremely low margin of error.

1988-2008 Unadjusted State and National Exit Poll Database

The Ultimate Smoking Gun that proves Systemic Election Fraud:
1) The Likely Voter Cutoff Model eliminates newly registered Democrats from the LV sub-sample. Kerry had 57-61% of new voters; Obama had 72%.
2) Exit poll precincts are partially selected based on the previous election recorded vote. 
3) In the 1988-2008 presidential elections, 226 of 274 exit polls red-shifted to the Republicans. Only about 137 would normally be expected to red-shift. The probability is zero.
4) 135 of 274 exit polls exceeded the margin of error. Only 14 (5%) would normally be expected. The probability is ZERO.
5) 131 of the 135 exit polls that exceeded the margin of error red-shifted to the Republicans. The probability is ZERO.
 

No exit polls in 19 states

The National Election Pool (NEP) is a consortium of six corporate media giants which funds the pollster Edison Research to do exit polling in the U.S and abroad. The NEP announced that they would not exit poll in 19 states, 16 of which are universally thought of as being solid RED states. Or are they? 

In 2008, Obama won exit polls in AK, AL, AZ, GA, NE, SD. He came close to winning in TX, KY, SC, TN, MS. These former RED states may have turned PURPLE. View this worksheet in the model. 

The bad news is that the NEP decision to eliminate the polls makes it easier for vote margins to be padded and electoral votes flipped. Without the polls, it is much more difficult to calculate the statistical probabilities of fraud based on exit poll discrepancies. In the 1988-2008 elections, the Democrats led the unadjusted state exit polls by 52-42%, but by just 48-46% in the official recorded vote. This is a mathematically impossible result which proves systemic election fraud.

The good news is that the post-election True Vote Model should find implausible discrepancies in the recorded state and national votes. After all, that is what it was designed to do.

Sensitivity Analysis

The pre-election TVM built in the 2012 Election Model uses alternative scenarios of 2008 voter turnout and defection rates to derive a plausible estimate of the total final share. The returning voter assumptions are based on Obama’s 58% True Vote (a plausible estimate) and his 53% recorded share. The latter scenario results in vote shares that are close to the LV polls.

The sensitivity analysis of alternative turnout and vote share scenarios is an important feature in the model. The model displays the effects of effects of incremental changes in turnout rates and shares of returning voters. The tables display nine scenario combinations of a) Obama and McCain turnout rates and b) Obama/Romney shares of returning Obama and McCain voters. Obama’s vote share, winning margin and popular vote win probability are displayed for each scenario.

Registered and Likely Voters

Historically, RV polls have closely matched the unadjusted exit polls after undecided voters are allocated and have been confirmed by the True Vote Model.

Likely Voter (LV) polls are a subset of Registered Voter polls and are excellent predictors of the recorded vote – which always understate the Democratic True Vote. One month prior to the election, the RV polls are replaced by LVs. An artificial “horse race” develops as the polls invariably tighten.

The Likely Voter Cutoff Model (LVCM) understates the voter turnout of millions of new Democrats, thereby increasing the projected Republican share. Democrats always do better in RV polls than in the LVs. Based on the historical record, the Democratic True Vote share is 4-5% higher than the LV polls indicate. The LVs anticipate the inevitable election fraud reduction in Obama’s estimated 55% True Vote share.

Media pundits and pollsters are paid to project the recorded vote – not the True Vote. The closer they are, the better they look. They never mention the fraud factor which gets them there, but they prepare for it by switching to LV polls.

The disinformation loop is closed when the unadjusted, pristine state and national exit polls are adjusted to match the LV recorded vote prediction.

2004 and 2008 Election Models

The 2004 model matched the unadjusted exit polls. Kerry had 51.7% and 337 electoral votes. But the election was stolen. Kerry had 48.3% recorded. View the 2004 Electoral and popular vote trend

The 2008 model exactly matched Obama’s 365 EV. The National model exactly matched his official recorded 52.9% share; the State model projected 53.1%. His official margin was 9.5 million votes.

Obama had 58.0% in the unadjusted, weighted state exit poll aggregate (83,000 respondents) which exactly matched the post-election True Vote Model. Obama’s 23 million True Vote margin was too big to steal.

The National Exit Poll displayed on mainstream media websites (Fox, CNN, ABC, CBS, NYT, etc.) indicates that Obama had 52.9% – his recorded vote. Unadjusted state and national exit polls are always forced to match the recorded share.

But the media never discussed the fact that Obama had 61% in the unadjusted National Exit Poll (17,836 respondents). View the 2008 Electoral and popular vote trend

This graph summarizes the discrepancies between the 1988-2008 State Exit Polls and the corresponding Recorded Votes.

The True Vote Model

The 2008 True Vote Model (TVM) determined that Obama won in a landslide by 58-40.3%. Based on the historical red-shift, he needs at least a 55% True Vote share to overcome the systemic 5% fraud factor. The TVM was confirmed by the unadjusted state exit poll aggregate: Obama had an identical 58-40.5% margin (83,000 respondents). He won unadjusted National Exit Poll (17,836 respondents) by an even bigger 61-37% margin.

In projecting the national and state vote, a 1.25% annual voter mortality rate is assumed. The TVM uses estimated 2008 voter turnout in 2012 and corresponding 2012 vote shares. The rates are applied to each state in order to derive the national aggregate result.

There are two basic options for estimating returning voters. The default option assumes the unadjusted 2008 exit poll as a basis. The second assumes the recorded vote. It is important to note that the True Vote is never the same as the recorded vote. The 1988-2008 True Vote Model utilizes estimates of previous election returning and new voters and and adjusted state and national exit poll vote shares.

Monte Carlo Simulation

The simulation consists of 500 election trials. The electoral vote win probability is the number of winning election trials divided by 500.

There are two forecast options in the model. The default option uses projections based on the latest pre-election state polls. The second is based on the state True Vote. The fraud factor is the difference between the two.

The projected vote share is the sum of the poll and the undecided voter allocation (UVA). The model uses state vote share projections as input to the Normal Distribution function to determine the state win probability.

In each election trial, a random number (RND) between 0 and 1 is generated for each state and compared to Obama’s state win probability. If RND is greater than the win probability, the Republican wins the state. If RND is less than the win probability, Obama wins the state. The winner of the election trial is the candidate who has at least 270 electoral votes. The process is repeated in 500 election trials.

Electoral Votes and Win Probabilities

The Electoral Vote is calculated in three ways.
1. The Snapshot EV is a simple summation of the electoral votes. It could be misleading if close state elections favor one candidate.
2. The Mean EV is the average of the 500 simulated election trials.
3. The Theoretical EV is the product sum of the state electoral votes and corresponding win probabilities. A simulation or meta-analysis is not required to calculate the expected EV.

The Mean EV approaches the Theoretical EV as the number of election trials increase. This is an illustration of the Law of Large Numbers.

Obama’s electoral vote win probability is his winning percentage of 500 simulated election trials.

The national popular vote win probability is calculated using the national aggregate of the the projected vote shares. The national margin of error is 1-2% lower than the MoE of the individual states. That is, if you believe the Law of Large Numbers and convergence to the mean.

The Fraud Factor

The combination of True Vote Model and state poll-based Monte Carlo Simulation enables an analyst to determine if the forecast electoral and popular vote share estimates are plausible. The aggregate state poll shares can be compared to the default TVM.

The TVM can be forced to match the aggregate poll projection by…
– An incremental change in vote shares. A red flag would be raised if the match required that Obama captured 85% of returning Obama voters and Romney had 95% of returning McCain voters (a 10% net defection).

– Adjusting 2008 voter turnout in 2012. For example, if McCain voter turnout is required to be 10-15% higher than Obama’s, that would raise a red flag.

– Setting the returning voter option to the 2008 recorded vote. The implicit assumption is that the 2008 recorded vote was the True Vote. But the 2008 election was highly fraudulent. Therefore, the model vote shares will closely match the likely voter polls.

Check the simulated, theoretical and snapshot electoral vote projections and corresponding win probabilities.

In 2004, Election Model forecasts were posted weekly using 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. The final Nov.1 forecast had Kerry winning 337 electoral votes with 51.8% of the two-party vote, closely matching the unadjusted exit polls.

2004 Election Model Graphs

State aggregate poll 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

In the 2006 midterms, the adjusted National Exit Poll was forced to match the House 52-46% Democratic margin. But the 120 Generic Poll Trend Model forecast that the Democrats would have a 56.4% share – exactly matching the unadjusted exit poll.

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

The post-election True Vote Model determined that Obama won by 23 million votes with 420 EV. His 58% share matched the unadjusted state exit poll aggregate (83,000 respondents).

Exit pollsters and media pundits have never explained the massive 11% state exit poll margin discrepancy or the impossible 17% National Exit Poll discrepancy. If they did, they would surely claim that the discrepancies were due to reluctant Republican responders. But they will not even try to explain the impossible returning voter adjustments required to force the polls to match the recorded vote in the 1988, 1992, 2004 and 2008 elections.

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

Published 10/27/12:
Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts

Track Record: Election Model Forecast; Post-election True Vote Model
https://docs.google.com/document/d/1zRZkaZQuKTmmd_H0xMAnpvSJlsr3DieqBdwMoztgHJA/edit

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

 
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Posted by on October 17, 2012 in 2012 Election

 

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10/06/ 2012 Presidential True Vote/Election Fraud Simulation Model:Obama 295 EV; 89% Win Probability

10/06/ 2012 Presidential True Vote/Election Fraud Simulation Model:Obama 295 EV; 89% Win Probability

Richard Charnin
Oct. 6, 2012

Note: This is the final Nov.5 projection: 2012 Presidential True Vote and Monte Carlo Simulation Forecast Model.

Click this link to the final 2012 forecast. It was exactly right: Obama had 51.6% (2-party) and 332 EV with a 99.6% win probability. But his True Vote was 55% with 380 EV. https://richardcharnin.wordpress.com/2012/11/07/4380/

The 2008 Election Model also predicted Obama’s recorded vote exactly at 365 EV and 52.9% with a 100% win probability. But his True Vote was 58.0% with 420 EV. http://www.richardcharnin.com/2008ElectionModel.htm

The 2012 Presidential True Vote and Monte Carlo Simulation Forecast Model is updated on a daily basis. The projections assume the election is held on the latest poll date. Two forecasting methods are used.

The Monte Carlo Electoral Vote Simulation is based on the latest state polls and currently assumes an equal split of undecided voters. The expected electoral vote is the sum of the products of the state win probabilities and corresponding electoral votes.

The True Vote Model is based on plausible turnout estimates of new and returning 2008 voters and corresponding vote shares.

On Oct.6 Obama led the weighted average of the state pre-election polls by 48.3-45.6% and the national poll average by 48.3-47.2%. Romney’s “bounce” from the debate reduced Obama’s expected electoral vote to 295, down from 325 last week and 342 two weeks ago.

The Gallup poll taken after the debate(10/4-10/6) was tied at 47-47%. Obama led by 50-45% before the debate (9/30-10/2). The Rasmussen poll is tied at 48%.

If the election were held today, the Monte Carlo simulation indicates that Obama would have an 89% probability of winning the electoral vote.

Likely voter (LV) polls discount the pervasive systematic fraud factor. They are traditionally excellent predictors of the recorded vote – which always understate the Democratic True Vote. The LV polls anticipate the inevitable election fraud reduction in Obama’s estimated 55.6% True Vote share and 381 electoral votes. Based on the historical record, Obama’s True Vote share is about 4-5% higher than the latest polls indicate. It is a certainty that he will lose millions of votes on Election Day to fraud.

The only question is: Will Obama be able to overcome the systemic fraud factor?

Forecast Summary

The source of the polling data is the Real Clear Politics (RCP) website. The simulation uses the latest state polls. Recorded 2008 vote shares are used for states which have not yet been polled.

2012 Presidential True Vote and Monte Carlo Simulation Forecast Model

10/06/2012
UVA = undecided voter allocation = 50/50%
True Vote Model Obama Romney
True Vote...... 55.6% 44.4% (see model)
Expected EV.... 381 157 EV = sum(state win prob (i) * EV(i)), i=1,51
Snapshot EV.... 391 147 Sum of state EV
EV Win Prob.... 100% 0%

State Polls
Average........ 48.3% 45.6% (state vote-weighted average)
Projection..... 51.4% 48.6% (RCP Polls + UVA)
Pop. Win Prob.. 81% 19% (3.0% MoE assumed for calculation)
Expected EV.... 295.3 242.7 EV = sum(state win prob(i) * EV(i)), i=1,51
Snapshot EV.... 263 275 Sum of winning state electoral votes

National Polls
Average........ 48.3% 47.2% (RCP poll average)
Projection..... 50.6% 49.4% (RCP polls + UVA)
Pop. Win Prob.. 71% 29% (2.0% MoE assumed for calculation)
Gallup......... 47% 47% (1387 RV, 3.0% MoE)
Rasmussen...... 48% 48% (1500 LV, 3.0% MoE)

Monte Carlo Simulation (500 Election trials)
Projection..... 51.4% 48.6% (RCP state polls + UVA)
Mean EV........ 296.3 241.7 (average of 500 election trials)
Maximum EV..... 348 190
Minimum EV..... 240 298
EV Win Prob.... 89% 11% (445 wins/500 election trials)

2004 and 2008 Election Models

The 2004 model matched the unadjusted exit polls. Kerry had 51.7% and 337 electoral votes. But the election was stolen. Kerry had 48.3% recorded. View the 2004 Electoral and popular vote trend

The 2008 model exactly matched Obama’s 365 EV. The National model exactly matched his official recorded 52.9% share; the State model projected 53.1%. His official margin was 9.5 million votes.

Obama had 58.0% in the unadjusted, weighted state exit poll aggregate (83,000 respondents) which exactly matched the post-election True Vote Model. Obama’s 23 million true vote vote margin was too big to steal.

The National Exit Poll displayed on mainstream media websites (Fox, CNN, ABC, CBS, NYT, etc.) indicates that Obama had 52.9% – his recorded vote. Unadjusted state and national exit polls are always forced to match the recorded share.

But the media never discussed the fact that Obama had 61% in the unadjusted National Exit Poll (17,836 respondents). View the 2008 Electoral and popular vote trend

In the six presidential elections from 1988-2008, the Democrats won the average recorded vote by 48-46%. But they led both state and national exit polls by 52-42%. There were approximately 375,000 respondents in the 274 state polls and 90,000 respondents in the six national polls. Overall, an extremely low margin of error.

This graph summarizes the discrepancies between the1988-2008 State Exit Polls vs. the corresponding Recorded Votes.

The True Vote Model

The 2008 True Vote Model (TVM) determined that Obama won in a landslide by 58-40.3%. Based on the historical red-shift, he needs at least a 55% True Vote share to overcome the systemic 5% fraud factor. The TVM was confirmed by the unadjusted state exit poll aggregate: Obama had an identical 58-40.5% margin (83,000 respondents). He won unadjusted National Exit Poll (17,836 respondents) by an even bigger 61-37% margin.

In projecting the national vote, the TVM uses estimated returning 2008 voter turnout in 2012 and corresponding 2012 vote shares. The rates are applied to each state in order to derive the national aggregate result.

A 1.25% annual voter mortality rate is assumed. There are two options for estimating returning voters. The default option assumes that 2008 voters return in proportion to the unadjusted 2008 exit poll aggregate (Obama won by 58-40.5%).

It is important to note that the True Vote is never the same as the recorded vote. The 1988-2008 True Vote Model utilizes estimates of previous election returning and new voters and and adjusted state and national exit poll vote shares.

Sensitivity analysis

The TVM displays the effects of effects of incremental changes in turnout rates and shares of returning voters. Three tables each display nine scenario combinations of a) Obama and McCain turnout rates and b) Obama/Romney shares of returning Obama and McCain voters. Obama’s vote share, winning margin and popular vote win probability are displayed for each scenario.

Monte Carlo Simulation

The simulation consists of 500 election trials. The electoral vote win probability is the number of winning election trials divided by 500.

There are two forecast options in the model. The default option uses projections based on the latest pre-election state polls. The second is based on the state True Vote. The fraud factor is the difference between the two.

The projected vote share is the sum of the poll and the undecided voter allocation (UVA). The model uses state vote share projections as input to the Normal Distribution function to determine the state win probability.

In each election trial, a random number (RND) between 0 and 1 is generated for each state and compared to Obama’s state win probability. If RND is greater than the win probability, the Republican wins the state. If RND is less than the win probability, Obama wins the state. The winner of the election trial is the candidate who has at least 270 electoral votes. The process is repeated in 500 election trials.

Electoral Votes and Win Probabilities

The Electoral Vote is calculated in three ways.
1. The Snapshot EV is a simple summation of the electoral votes. It could be misleading if close state elections favor one candidate.
2. The Mean EV is the average of the 500 simulated election trials.
3. The Theoretical EV is the product sum of the state electoral votes and corresponding win probabilities. A simulation or meta-analysis is not required to calculate the expected EV.

The Mean EV approaches the Theoretical EV as the number of election trials increase. This is an illustration of the Law of Large Numbers.

Obama’s electoral vote win probability is his winning percentage of 500 simulated election trials.

The national popular vote win probability is calculated using the normal distribution using the national aggregate of the the projected vote shares. The national aggregate margin of error is 1-2% lower than the average MoE of the individual states. That is, if you believe the Law of Large Numbers and convergence to the mean.

The Fraud Factor

Election fraud reduced the 1988-2008 Democratic presidential unadjusted exit poll margin from 52-42% to 48-46%. View the 1988-2008 Unadjusted State and National Exit Poll Database

The combination of True Vote Model and state poll-based Monte Carlo Simulation enables an analyst to determine if the forecast electoral and popular vote share estimates are plausible. The aggregate state poll shares can be compared to the default TVM.

The TVM can be forced to match the aggregate poll projection by…
– Adjusting vote shares by an incremental change. A red flag would be raised if the match required, if for example Obama captured 85% of returning Obama voters and Romney had 95% of returning McCain voters (a 10% net defection).

– Adjusting 2008 voter turnout in 2012. For example, if McCain voter turnout is required to be 10-15% higher than Obama’s, that would raise a red flag.

– Setting the returning voter option to the 2008 recorded vote. The implicit assumption is that the 2008 recorded vote was the True Vote. But the 2008 election was highly fraudulent. Therefore, model vote shares will closely match the likely voter polls.

Check the simulated, theoretical and snapshot electoral vote projections and corresponding win probabilities.

Election Model Projections

In 2004, Election Model forecasts were posted weekly using 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. The final Nov.1 forecast had Kerry winning 337 electoral votes with 51.8% of the two-party vote, closely matching the unadjusted exit polls.

2004 Election Model Graphs

State aggregate poll 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

In the 2006 midterms, the adjusted National Exit Poll was forced to match the House 52-46% Democratic margin. But the 120 Generic Poll Trend Model forecast that the Democrats would have a 56.4% share – exactly matching the unadjusted exit poll.

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

The post-election True Vote Model determined that Obama won by 23 million votes with 420 EV. His 58% share matched the unadjusted state exit poll aggregate (83,000 respondents).

Exit pollsters and media pundits have never explained the massive 11% state exit poll margin discrepancy or the impossible 17% National Exit Poll discrepancy. If they did, they would surely claim that the discrepancies were due to reluctant Republican responders. But they will not even try to explain the impossible returning voter adjustments required to force the polls to match the recorded vote in the 1988, 1992, 2004 and 2008 elections.

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

Pre-election RV and LV Polls

Virtually all early pre-election polls are of Registered Voters (RV). The Rasmussen tracking poll is an exception, using a Likely Voter (LV) subset of the full RV sample. Rasmussen is an admitted GOP pollster.

One month prior to the election, pollsters replace the full RV sample polls with LV sub-samples, helping to promote an artificial “horse race” as the poll shares invariably tighten. The Likely Voter Cutoff Model (LVCM) effectively understates the voter turnout of millions of new Democrats, increasing the projected Republican share. Democrats always do better in the full RV polls than the LVs.

Media pundits and pollsters are paid to project the recorded vote – not the True Vote. The closer they are, the better they look. But they never mention the fraud factor which gets them there. They prepare for it by switching to LV polls which are usually excellent predictors of the recorded vote.

Historically, RV polls have closely matched the unadjusted exit polls after undecided voters are allocated and have been confirmed by the True Vote Model. The disinformation loop is closed when the unadjusted, pristine state and national exit polls are adjusted to match the LV recorded vote prediction.

In pre-election and exit polls:
1) The Likely Voter Cutoff Model eliminates newly registered Democrats from the LV sub-sample. Kerry had 57-61% of new voters; Obama had 72%.
2) Exit poll precincts are partially selected based on the previous election recorded vote.
3) In the 1988-2008 presidential elections, 226 of 274 exit polls red-shifted" to the Republicans. Only about 137 would normally be expected to red-shift. The probability is zero.
4) 126 of the 274 exit polls exceeded the margin of error. Only 14 (5%) would normally be expected. The probability is ZERO.
5) 123 of the 126 exit polls that exceeded the margin of error red-shifted to the Republicans. The probability is ZERO.

 
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Posted by on October 7, 2012 in 2012 Election

 

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