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Probability of exactly forecasting the electoral vote in the last three elections

Richard Charnin
Feb. 11, 2017

77 Billion to One: 2016 Election Fraud
Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts
Proving Election Fraud: Phantom Voters, Uncounted Votes and the National Poll
LINKS TO  POSTS

I was asked to calculate the probability of my exact forecast of the Electoral Vote in the last three elections. It was a combination of experience and luck. I do not expect to exactly forecast the EV in 2020.

Note that the following calculation is just an approximation.

Assume the following:
1) the probability of Obama winning in 2008 was 0.95; it was also 0.95 in 2012. The probability of Trump winning in 2016 was 0.05.
Therefore the probability of forecasting all three winners correctly is
P1 = 0.045 =.95*.95*.05

2) the winning EV is in the 270-370 range.
The probability of exactly forecasting the EV in a given election is 0.01. The probability of exactly forecasting the EV in all 3 elections is 1 in a million:
P2 =.000001 = 0.01*0.01*0.01

Therefore, the probability of forecasting the winner and the EV in the three elections is
P3 = P1*P2 = .045* 0.000001 or 1 in 22 million.

To put it another way, forecasting the electoral vote exactly in three successive elections would be expected to occur just once in 22 million elections (88 million years).

Track Record
https://richardcharnin.wordpress.com/2014/09/14/summary-2004-2012-election-forecast-1968-2012-true-vote-model/

 
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Posted by on February 11, 2017 in 2016 election

 

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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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Preliminary 2016 Presidential True Vote Model: Will Jesse Ventura run?

Preliminary 2016 Presidential True Vote Model: Will Jesse Ventura run?

Richard Charnin
Dec. 18. 2015

Jesse Ventura indicated in this recent interview that he might run as a Libertarian candidate. The preliminary 2016 Presidential True Vote Model  shows what it would take for him to win.  In this hypothetical forecast, Democratic and Republican candidates are yet to be determined.

The 2004, 2008 and 2012 Election Models each used  Monte Carlo simulation to calculate the probability that the Democrat would win.  The three elections were fraudulent. The models utilized pre-election polls and post-election  analysis: Final pre-election polls were used to forecast the recorded (bogus) popular and electoral vote.   Post-election analysis was used to calculate the True Vote.

The True Vote analysis shows that Kerry and Obama  did much better than their recorded votes (see below). The 2004 election was stolen; Kerry won by nearly 10 million votes. Obama won in 2008  by  at least 13 million more votes than recorded.  The pre-election models exactly matched Obama’s recorded electoral vote in 2008  (365) and 2012 (332). Click links to the models below.

The True Vote will surely differ from the recorded vote in 2016. It always does. 
Election Fraud: A True Vote Model Proof

Historical Projections: recorded votes, exit polls and True Vote Models

2004 Election Model
Adjusted National Exit Poll (recorded): Bush 48.3-50.7%, 255 EV
Forecast:  Kerry 51.8% (2-party), 337 EV (simulation mean)
Unadjusted State exit poll aggregate: Kerry 51.1-47.6%, 337 EV
Unadjusted National Exit Poll: Kerry 51.7-47.0%
1968-2012 True Vote Model: Kerry 53.6-45.1%, 364 EV

2008 Election Forecast Model
Forecast: Obama 53.1-44.9%, 365.3 expected EV; 365.8 EV (simulation)
Adjusted National Exit Poll (recorded vote): Obama 52.9-45.6%, 365 EV
Unadjusted State exit poll aggregate: Obama 58.1-40.3%, 420 EV
Unadjusted National Exit Poll (17836 respondents): Obama 61.0-37.5%
2008 True Vote Model : Obama 58.0-40.4%, 420 EV

2012  Election Final Forecast
Adjusted National Exit Poll(recorded):Obama 51.0-47.2%, 332 EV
2012 True Vote Model Obama 56.1%, 391 EV; 385 EV (expected)
Unadjusted State Exit Polls: not released
Unadjusted National Exit Poll: not released

Look inside the books:
Reclaiming Science: The JFK Conspiracy
Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts
Proving Election Fraud: Phantom Voters, Uncounted Votes and the National Exit Poll

LINKS TO WEB/BLOG POSTS FROM 2004

 

 

 
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Posted by on December 18, 2015 in Uncategorized

 

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