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Final Forecast: The 2012 True Vote/ Election Fraud Model

05 Nov

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

 
5 Comments

Posted by on November 5, 2012 in 2012 Election

 

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5 responses to “Final Forecast: The 2012 True Vote/ Election Fraud Model

  1. Clifton Buck-Kauffman

    November 5, 2012 at 10:31 am

    I appreciate all of your efforts and your clear explanations. Thank you!

     

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