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Trump Won the True Vote

Richard Charnin
Dec. 5, 2017

Look inside the book: Trump Won the True Vote

Mainstream media pundits claim that Clinton won the primary and presidential election by three million votes. It’s a myth. They fail to consider the FACT that the recorded vote is ALWAYS fraudulent.

A True Vote Model analysis indicates Trump won the popular as well as the electoral vote. The pundits always assume that the recorded vote is accurate but never consider the fraud factor. The historical statistical evidence is conclusive: every election is fraudulent.

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Posted by on December 5, 2017 in 2016 election

 

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Adjusted Pre-election polls in the True Vote Model indicate Trump won by 5 million votes

Richard Charnin
Aug.2, 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

This analysis shows that although Clinton won the Recorded Vote by 48.3-46.2% (2.8 million votes), Trump won the True Vote.

Plausible adjustments made to nine pre-election polls in the True Vote Model are the core of the analysis. These polls had Clinton winning by 45.8-43.6% with 298-240 electoral votes: Ipsos/Reuters, IBD/Tipp, Rasmussen, Quinnipiac, Fox News, CNN, ABC, Gravis, LA Times.

Adjusting  Party-ID to the Gallup voter affiliation survey, Trump won by 43.4-43.1% with 306-232 Electoral votes. After allocating 75% of undecided voters to Trump, the de-facto challenger, the True Vote Model indicates that Trump won  by 48.2-44.5% (5.1 million votes) with 336 electoral votes . Historically, challengers won a solid majority (65-90%) of undecided voters when the incumbent was unpopular. Clinton and the Democrats were unpopular, especially after she stole the primary from Bernie Sanders.

View the Model
https://docs.google.com/spreadsheets/d/1R9Y3ae2uyW8SUxVUnnOt9ZyvheAxa0fAhesAw_nhciM/edit#gid=1036175945

Model Results
Pre-election poll averages based on:
Party-ID: Clinton 45.8-43.6
Gallup voter affiliation: Trump 43.4-43.1

Forecast Model (post-UVA)
Party-ID (9 Pre-election poll average):  Clinton 46.7-46.2
Gallup Party-ID: Trump 48.2-44.5

Trump Electoral votes: Pre and post UVA
Snapshot EV: pre-UVA: 306 (exact forecast); post-UVA EV: 336

Expected EV based on state win probabilities
Pre UVA: 289; post UVA: 351

Method
Calculate the average of 9 final pre-election polls (Party-ID and vote shares).
Calculate National Vote shares using Party-ID from

  • 9-poll average: 28.9I-38.7D-31.9R
  • Gallup voter affiliation survey: 40I-32D-28R

Gallup Voter Affiliation
1- Nov. 1-6: 36I, 31D, 27R (6 other)
2- Nov. 9-13: 40I, 30D, 27R (3 other)
Average (Election Day) : 38I, 30.5D, 27R (4.5 other)

Calculate State Vote shares
State Party-ID based on proportional change in National Party-ID from 2012 to 2016 Gallup survey applied to 2012 State Party-ID.
2012: 40.3D, 35.4R, 24.7I  
2016: 32D, 28R, 40I

Undecided voter allocation (UVA): 75% to Trump

Sensitivity Analysis
15 vote share/margin scenarios (pre-UVA) based on Trump % of Rep and Ind
Best Case: Trump 45.0-42.7
Base Case: Trump 43.4-43.1
Worst Case: Clinton 43.5-41.9

Electoral Vote Scenarios
Recorded EV = 306
Forecast  EV (pre-UVA) = 306
Forecast True EV (post-UVA) = 336
Difference between 306 EV and 336 EV due to MI (16) and NJ (14)

Expected EV
(based on state win probabilities post UVA)
EV = 351
Exp EV = sum [(P(i) * EV(i)], i= 1, 51
(P(i) = probability of winning state, EV(i) =  State Electoral vote
Margin of Error (MoE) = 2.5%

 
 

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