RSS

Tag Archives: illegal voters

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

Richard Charnin
Feb. 25, 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 is an analysis of the 2016 Presidential True Vote. 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 (80% for Clinton). View this 1988-2016 trend analysis of Hispanic voter registration and turnout.

According to Greg Palast,  over one million  Democratic minority voters were disenfranchised via  Crosscheck,  a system which eliminated voters with duplicate names from voter rolls.

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. The results confirm other analyses which show that Trump won the popular vote.

Let TV = True Vote
RV = Recorded vote
Then we have:
RV = TV + Fraud

Given:
Recorded vote in millions:
Clinton 65.7, Trump 62.9, Other 7.6
Election fraud components:
F =Vote flipping on maliciously coded, proprietary voting machines and central tabulators
I = Illegal voters (non-citizens)
U = Uncounted votes (spoiled ballots, disenfranchised voters)

Base Case Assumptions
I = 3  million: 2.4 million voted for Clinton,  0.6 million for Trump
U =7 million: 5.6 million voted for Clinton, 1.4 million for Trump
F= 4 million (net): 5.6% ( 1 in 18) of Trump’s votes flipped to Clinton on voting machines and central tabulators. 
Trump wins by 2.8 million: 67.7-64.9 (48.3-46.3%)

Sensitivity Analysis
Given: U=7 million (5.6 million to Clinton, 1.4 million to Trump)
Worst case: (I=4 million, F=3 million) Clinton wins by 0.83 million
Base case: (I=3 million, F=4 million) Trump wins by 2.77 million
Best case: (I=2 million, F= 5 million) Trump wins by 3.57 million

Assume the following changes to the base case assumptions:
I = 2  million: 1.6 million voted for Clinton,  0.4 million for Trump
U = 3 million: 2.7 million voted for Clinton, 0.3 million for Trump
F= 4 million (net): 5.6% ( 1 in 18) of Trump’s votes flipped to Clinton on voting machines and central tabulators. 
Trump wins by 4.0 million: 66.8-62.8 (48.7-45.8%)

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

 Base Case Total Clinton Trump Other
Recorded vote 136.22 65.72 62.89 7.61
    48.25% 46.17% 5.59%
Illegal -3.0 -2.4 -0.6 0
Uncounted +7.0 5.6 1.4 0
Vote Flip  – -4.0 4.0 0
True Vote 140.22 64.9 67.7 7.6
 Base Case   46.3% 48.3% 5.4%
Illegals  4.0 3.0  2.0
Flip  Trump
5.0 67.7 67.9 68.1
4.0 67.5 67.7 67.9
3.0 65.9 66.1 66.3
 
 Illegals  4.0 3.0 2.0
Flip Trump %
5.0 48.3% 48.4% 48.6%
4.0 48.1% 48.3% 48.4%
3.0 47.0% 47.1% 47.3%
 
 Illegals  4.0 3.0 2.0
Flip Clinton %
5.0 46.3% 46.2% 46.0%
4.0 46.4% 46.3% 46.2%
3.0 47.6% 47.4% 47.3%
 Illegals  4.0 3.0 2.0
Trump
Flip  Margin
5.0 2.77 3.17 3.57
4.0 2.37 2.77 3.17
3.0 -0.83 -0.43 -0.03
 
2 Comments

Posted by on February 25, 2017 in 2016 election

 

Tags: , , , , , ,

 
Richard Charnin's Blog

JFK Conspiracy and Systemic Election Fraud Analysis