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2016 True Vote Sensitivity analysis: illegal voters, uncounted votes, machine vote flipping

25 Feb

Richard Charnin
Updated Sept. 19, 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

Clinton won the recorded vote by 2.8 million. But the recorded vote is never equal to the True Vote due to election fraud.

There is evidence that millions of illegals probably voted in 2016. View this 1988-2016 trend analysis of Hispanic voter registration and turnout.

According to Greg Palast, least one million Democratic minority voters were disenfranchised via Crosscheck which eliminated voters with duplicate names from voter rolls. He claims that 7 million minority voters were disenfranchised.

There is evidence that  George Soros , a Clinton backer,  controls voting machines in 16 states.  Election analyst Bev Harris has posted Fraction Magic , an algorithm used to flip votes on Central tabulators.

Sensitivity analysis shows the effects of a range of assumptions on the vote count.

Let TV = True Vote; RV = Recorded vote
RV = TV + Fraud

Given the Recorded vote in millions:
Clinton 65.7, Trump 62.9, Other 7.6

Election fraud components:
-Vote flipping on maliciously coded, proprietary voting machines and central tabulators
-Illegal voters (non-citizens)
-Uncounted votes (spoiled ballots, disenfranchised voters)

Base Case Assumptions
Uncounted- 7 million: 85% for Clinton
Vote Flip- 5 million (net): 8% of Trump’s votes flipped to Clinton on voting machines and central tabulators. 
Illegals- 2 million: 85% for Clinton
Trump wins by 3.7 million: 68.7-64.9 (48.6-46.0%)

Sensitivity Analysis (assume 7 million uncounted, 85% for Clinton)
Worst case (7% flip, 80% of illegals to Clinton):  Trump wins by 2.3 million
Base case: (8%  flip, 85% of illegals to Clinton): Trump wins by 3.7 million
Best case: (9% flip, 90% of illegals to Clinton): Trump wins by 5.2 million

View the spreadsheet: https://docs.google.com/spreadsheets/d/1R9Y3ae2uyW8SUxVUnnOt9ZyvheAxa0fAhesAw_nhciM/edit#gid=1672204415

http://www.pewhispanic.org/2016/01/19/millennials-make-up-almost-half-of-latino-eligible-voters-in-2016/ph_election-2016_chap1-chart-08/

Number of Latino Eligible Voters Is Increasing Faster Than the Number of Latino Voters in Presidential Election Years

Total Clinton Trump Other
Recorded vote 136.22 65.72 62.89 7.61
48.25% 46.17% 5.59%
Illegal 2.0 -1.7 -0.3 0
Uncounted 7.0 5.95 1.05 0
Vote Flip 5.0 -5.0 5.0 0
Adjusted 141.22 64.9 68.7 7.6
  46.0% 48.6% 5.4%
7.0 uncounted 85% to Clinton
Illegals to 
Clinton
 
  80% 85% 90%
Flip to Clinton   Trump Vote
9% 69.20 69.30 69.40
8% 68.57 68.67 68.77
7% 67.94 68.04 68.14
Vote Flip   Trump Vote
9% 49.00% 49.07% 49.14%
8% 48.56% 48.63% 48.70%
7% 48.11% 48.18% 48.25%
Vote Flip   Clinton vote
9% 45.61% 45.54% 45.47%
8% 46.06% 45.98% 45.91%
7% 46.50% 46.43% 46.36%
Vote Flip   Trump margin
9% 4.79 4.99 5.19
8% 3.53 3.73 3.93
7% 2.27 2.47 2.67
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2 Comments

Posted by on February 25, 2017 in 2016 election

 

Tags: , , , , , ,

2 responses to “2016 True Vote Sensitivity analysis: illegal voters, uncounted votes, machine vote flipping

  1. Maria

    February 27, 2017 at 11:21 am

    I’m just very surprised that I had access to the related Google spreadsheet document, I can’t remember requesting access, or reading this blog – it just showed up among my google drive files.

     
    • Richard Charnin

      February 27, 2017 at 3:50 pm

      Very strange, but since you have it, take a close look,

       

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