## A Simple 2000-2012 Electoral Vote Simulation Model

27 Jul

A Simple 2000-2012 Electoral Vote Simulation Model

Richard Charnin
July 27, 2015
Updated: Oct.5, 2015
Links to website and blog posts
Look inside the books:
Matrix of Deceit: Forcing Pre-election and Exit Polls to Match Fraudulent Vote Counts
Reclaiming Science:The JFK Conspiracy

The purpose of the Monte Carlo Electoral Vote Simulation Model is to calculate the probability of a candidate winning at least 270 Electoral votes.

The Total EV is calculated as the sum of the products of the state win probabilities and corresponding electoral votes. The probability of winning each state is required in order to calculate the total probability of winning 270 EV. It is calculated using the projected two-party vote share and the margin of error (MoE) as input to the Normal distribution.

Prob = NORMDIST (vote share, 0.5, MoE/1.96, true)

The probability of winning the election is the ratio of winning simulation trials (at least 270 EV) to the total number of simulation trials (200).

The model contains the following 2-party vote shares:
2000- Gore unadjusted state and national exit polls and recorded shares
2004- Kerry unadjusted state and national exit polls and recorded shares
2008- Obama Unadjusted state and national exit polls and recorded shares
2012- Obama state and national True Vote and recorded shares
(In 2012, 19 states were not exit polled)

Only ONE input (code 1-8) is required to indicate the election and method:
2000: 1- exit poll, 2- recorded votes
2004: 3- exit poll, 4- recorded votes
2008: 5- exit poll, 6- recorded votes
2012: 7- True vote, 8- recorded votes

The Electoral Vote Histogram shows the results of 200 simulation trials.

There are three Total Electoral Vote calculations:
1-Theoretical EV: the product sum of state win probabilities and corresponding EVs.
2-Snapshot EV: sum of the projected electoral votes.
3-Mean EV: average EV of the all simulation trials.

In 2000, Gore defeated Bush by just 544,000 recorded votes. But he won the unadjusted state exit poll aggregate by 51.7-46.8%, Given that there were 105.4 million recorded votes, then based in the exit polls, he won by at least 5 million votes. There were 11 states in which he led the exit polls but flipped to Bush. If he had won just one, he would have won the election. If he won all 11, he would have had 408 electoral votes.

In the 2008 Election Model Obama’s 365.3 expected theoretical electoral vote was a near-perfect match to his recorded 365 EV. The simulation mean EV was 365.8 and the snapshot was 367. Obama’s won all 5000 election trials. His projected 53.1% share was a close match to the 52.9% recorded share.

The 2008 TVM exactly matched Obama’s 58% share of the unadjusted state exit polls: he won by 23 million votes (not the 9.5 million recorded) and had 420 electoral votes. Obama led the unadjusted National Exit Poll (17,836 respondents, 2% MoE) by 61-37%, an astounding 30 million vote margin.

The 2012 Monte Carlo Simulation Forecast exactly matched Obama’s 332 electoral votes and 51.0% total vote share. In the True Vote Model he had 55.6% and 391 Electoral votes.

Pre-election Registered Voter (RV) polls projected a 57% Obama share which closely matched the True Vote Model. Likely Voter (LV) polls are a subset of the RV polls. The LVs eliminate many new voters or others who did not vote in the prior election, cutting the projected Democratic share.

LV polls have an excellent track record in predicting the bogus recorded vote, as proven by the 2008 and 2012 Election Models. Final pre-election LV polls are used by the political pundits for their projections. After all, the media is paid to forecast the official recorded vote – not the true vote.