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

07 Oct

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.

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.

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

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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Richard Charnin's Blog

JFK Conspiracy and Systemic Election Fraud Analysis

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