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CLINTON DID NOT WIN THE POPULAR VOTE: UNADJUSTED EXIT POLLS AND RECORDED VOTES ARE BOGUS

Richard Charnin
Sep. 29, 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 Party-ID, recorded vote shares and unadjusted State Exit Polls. It indicates that Clinton did not win the popular vote by 2.8 million. In fact, she did not win the popular vote.

According to the 2016 Census, 87.3% of registered voters turned out.
If 6% of Democratic voters stayed home because the DNC rigged the primary, then 85% of Democrats, 91% Republicans and 87% Independents voted.

2016 National
Party-ID….Dem Rep Ind

Exit Poll 36.0 33.0 31.0%
Gallup….31.0 28.0 41.0

28 Exit Poll states Party-ID 
WtdAvg 37.4 31.8 30.8%
Average 35.3 32.5 32.2
Gallup.. 31.8 28.9 39.3 (wtd average)
Gallup.. 30.0 29.6 40.4 (average)

Clinton won the recorded vote by 65.6-62.8  million (48.3-46.2%)

a) In the 28 states exit polled (110.7 million votes),
Clinton won the unadjusted exit polls by 54.9-48.2 million (49.6-43.6%).
She won the recorded vote by 54.5-50.0 million (49.2-45.2%).

b) In the 28 states after adjustments for Gallup Party-ID and voter turnout,
Clinton wins by 52.1-51.6 million (47.1-46.6%).

c) In the 23 states that were not exit polled (25.5 million votes),
Trump won by 12.8-11.1 million (50.4-43.7%).

d) The 51 state adjusted total (136.2 million votes):
Trump wins by: 64.4-63.2 million (47.2-46.4%).

Note: the analysis does not adjust the recorded (bogus) state exit poll vote shares. It does not adjust for the effects of disenfranchised or illegal voters or purged voting rolls or votes flipped at the voting machines and central tabulators.

The bogus claim that Clinton won the popular vote is quoted ad nauseam by so-called “experts” in the media, academia and corrupt politicians. They are complicit in spreading this disinformation along with the fully discredited meme of a Russian “hack” designed to steal the election from Hillary. There is not one iota of proof.

I have written three books in which I cited pristine unadjusted exit polls to prove fraud. I believe they accurately represented the True Vote – up until the 2016 presidential election. Just because exit polls have proven to be accurate in the past (most recently in the 2016 Democratic primary) does not mean they were accurate in the 2016 election. The fact that Hillary won the popular recorded vote by 2.8 million does not mean she won the True Vote. They are never the same.

The “experts” still maintain the fiction that Clinton won the primary by 3 million votes. But the recorded vote is NEVER equal to the true vote. For some reason, talking heads never mention that simple fact. President Obama said it was not possible to steal an election. They think we are all stupid. Election Fraud is always an inside job.

The following states flipped to Trump from the unadjusted exit poll to the recorded vote and the Gallup-adjusted exit poll: FL MI NC PA WI
Minnesota flipped to Clinton.

California (3.77), Illinois (0.72) and New York (0.78) provided 5.27 million of Clinton’s adjusted margin in the 28 states. Trump won the other 25 states by 3.7 million votes.

Wisconsin
Trump did better in the Gallup-adjusted poll than the unadjusted exit poll and recorded vote.

Unadjusted Exit Poll: Clinton 48.2-44.3% (118,000 votes)
Recorded Vote: Trump won 47.2-46.3% (23,000 votes)

CNN Adjusted Exit Poll: 35Dem-34Rep-31 Ind
Trump wins: 48.5-46.3% (67,000 votes)

Gallup Adjusted: 30.1Dem-31.9Rep-38.1Ind
Trump wins: 49.8-44.5% (157,000 votes)

WI Gallup Clinton Trump Johnson Stein
Dem…. 30.10% 91.0% 7.0% 1.0% 1.0%
Rep….. 31.85%  6.0% 90.0% 3.0% 0.0%
Ind….. 38.05% 40.0% 50.0% 6.0% 2.0%
Share 100.0% 44.5% 49.8% 3.5% 1.06%
Votes.. 2,976. 1,325. 1,482…105.. 32

Scroll to row 150 to view the state data: adjusted and recorded Party-ID and vote shares. https://docs.google.com/spreadsheets/d/1R9Y3ae2uyW8SUxVUnnOt9ZyvheAxa0fAhesAw_nhciM/edit#gid=857963642

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Posted by on September 29, 2017 in 2016 election, Election Myths

 

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2016 Pre-election Polls in 16 Battleground states were biased for Clinton

Richard Charnin
Sept.15, 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 Exit Poll
Reclaiming Science: The JFK Conspiracy
LINKS TO  POSTS
Last 3 Elections: Exact Forecast of Electoral Vote

In 16 battleground states, Trump won the recorded vote by 48.0-45.9%, a 2.1% margin. Clinton led the pre-election polls by 44.5-44.1%, a 0.4% margin. There was a 2.5% discrepancy between the polls and  corresponding recorded votes.

In 10 final National Polls, Clinton led 46.8-43.6%, a 3.2% margin. She won the National recorded vote by 48.3-46.2%, a 2.1% margin.

The 4.6% difference between the  2.5%  battleground margin discrepancy and the 2.1% national recorded margin is an indicator that the pre-election polls were biased for the Democrats. It is further evidence of election fraud.

When undecided voters are allocated (UVA), Trump leads the 16-poll average by 46.6-45.3%. The Gallup National Voter affiliation survey (40Ind-32Dem-28Rep) was the basis used to derive each state’s Party-ID. Trump leads by 48.9-43.1% with these adjustments.

Clinton won the 16 unadjusted exit polls by 47.4-45.6%, a 1.8% margin.

Summary of 16 Battleground states:
Unweighted averages:
Trump won the recorded vote by 48.0-45.9%.
Clinton won the pre-election polls by 44.5-44.1%.
Trump won the UVA-adjusted polls by 46.6-45.3%.
Trump won the Gallup Party-ID adjusted polls by 48.9-43.1%.
Clinton won the unadjusted exit polls by 47.4-45.6%

Weighted averages (56.8 million votes):
Trump won the recorded vote by 48.4-46.1%.
Clinton won the pre-election polls by 45.0-44.7%.
Trump won the UVA-adjusted polls by 47.0-45.7%.
Trump won the Gallup Party-ID adjusted polls by 48.5-43.9%.
Clinton won the unadjusted exit polls by 47.5-46.1%

Battleground Exit poll discrepancies:
Recorded vote:3.9%; UVA:3.1%; Pre-election polls:1.4%; Gallup:7.6%
UVA: Undecided Voter Allocation: Trump won the recorded vote by 48.0-45.9%.

Trump likely won the national vote by 48-44% (5 million votes).

https://richardcharnin.wordpress.com/2017/08/28/2016-true-vote-models-in-confirmation-party-id-and-returning-2012-voters/

Real Clear Politics (RCP)is the data source for the pre-election polls:
https://www.realclearpolitics.com/epolls/latest_polls/state/

View the data and calculations for the 16 state polls, recorded votes, unadjusted exit polls and undecided voters: https://docs.google.com/spreadsheets/d/10dlTnin814phKJWjYdkG-ujNKak3zo6ywIP0u0-TGFg/edit#gid=1579502018

 Trump Pre-elect UVA Recorded Exit polls
True Vote
AZ 46.3 48.3 48.1 46.9 50.7
CO 40.4 44.3 43.3 41.5 48.9
FL 46.6 48.1 48.6 46.4 48.0
GA 49.2 50.0 50.5 48.2 52.6
IA 44.3 47.6 51.2 48.0 52.1
ME 39.5 44.5 44.9 40.2 48.6
MI 42.0 45.4 47.3 46.8 47.1
MN 39.0 40.8 44.9 45.8 46.5
MO 50.3 52.0 56.4 51.2 51.4
NV 45.8 47.2 45.5 42.8 47.1
NH 42.7 45.9 46.5 44.2 51.1
NC 46.5 49.2 49.9 46.5 46.3
OH 45.8 48.3 51.3 47.1 50.1
PA 44.3 47.2 48.2 46.1 45.6
VA 42.3 44.6 44.4 43.2 48.4
WI 40.3 42.9 47.2 44.3 47.4
AVERAGE 44.1 46.6 48.0 45.6 48.9

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Posted by on September 15, 2017 in 2016 election

 

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2016 True Vote Models in Confirmation: Party-ID and Returning 2012 Voters

2016 True Vote Models in Confirmation: Party-ID and Returning 2012 Voters

Richard Charnin
Aug.28, 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 Exit Poll
Reclaiming Science: The JFK Conspiracy
LINKS TO  POSTS
Last 3 Elections: Exact Forecast of Electoral Vote

Pollsters no longer ask the question “How did you vote in the last election”? Why? Because posing the question provides an analyst with data to indicate election fraud.

In 1972, 1988, 1992, 2004 and 2008, in order to match the recorded vote (SOP), the exit pollsters (who work for the MSM) required a greater turnout of Bush voters from the prior election than were still alive. This is a MATHEMATICAL IMPOSSIBILITY. If the exit poll is impossible, the recorded vote it was forced to match must also be impossible. That is proof of fraud. It’s why the exit pollsters (the MSM) no longer ask the question “Who Did You Vote for in the Last Election”?

The Exit Poll Smoking Gun: “How did you vote in the last election”?

These 2016 models calculate a true vote estimate for each state.
Model 1: Obama and Romney voter turnout in 2016.
Model 2: Gallup Party-ID voter affiliation. Used in the 2016 forecast model.

Base case vote shares were identical in each model. The shares were forced to match the recorded vote assuming equal 95% turnout. To calculate the True Vote, returning Obama voter turnout in 2016 was adjusted to 89%. The assumption is that 6% of Obama voters were Bernie Sanders 2016 primary voters who did not return to vote in the presidential election.

Important note: Since the vote shares were forced to match a likely fraudulent recorded vote (the Mainstream Media was heavily biased for Clinton), the following results are conservative. Trump probably did at least 2% better than indicated in the base case calculations. View the sensitivity analysis.

So how can we determine Obama and Romney returning voter turnout in 2016? Where can we get that information? Why don’t the exit pollsters provide the data? Should we just guess or estimate turnout based on historical elections? I chose the latter.

Using the prior 2012 vote as a basis, a voter mortality estimate is factored in. Approximately 4% of voters pass between each election (1% annual mortality). The simplest approach is to assume an equal 95% turnout of Obama and Romney voters still living. Now we have a plausible approximation of the (unknown) mix of returning voters. Since we know the current election recorded vote, the number of new 2016 voters who did not vote in 2012 can be calculated: DNV = 2016 total vote – returning 2012 voters.

The first step is to force the candidate shares of returning voters to match the recorded vote assuming equal 95% turnout.

In the True Vote calculation, the percentage of returning Obama voters was lowered to 89% to reflect disenchantment among Bernie Sanders’ primary voters who did not vote in the general election or voted for Jill Stein or Donald Trump.

To view the sensitivity of the True Vote to Trump shares of returning Obama and Romney voters, a matrix of total vote shares is calculated in 1% increments around the Trump base case estimate. There are 25 vote share scenario combinations in the 5×5 matrix. Corresponding matrices of Clinton shares and vote margins are also included. The base case is in the central cell.

2016 Presidential State Election Model Summary
https://docs.google.com/spreadsheets/d/10dlTnin814phKJWjYdkG-ujNKak3zo6ywIP0u0-TGFg/edit#gid=667189511

Recorded Vote
Clinton: 48.25-46.17% (2.83 million votes)
Trump: 306 Electoral Votes

Model 1
(returning 2012 voters)
2012 recorded vote: Obama 51.03-Romney 47.19% (4.98 million)
2016 voter turnout: Obama 89%, Romney 95%
Trump: 47.8-46.7% (1.51 million votes)
Trump: 323 Electoral Votes

Model 2
Gallup National Voter Affiliation Survey: 32D-28R-40I (state adjusted)
1. Trump and Clinton split the undecided vote:
Trump: 46.8-45.8% (1.35 million votes)
Trump: 307 Electoral Votes

2. Trump had 75% of the undecided vote:
Trump: 48.1-44.5% (4.97 million votes)
Trump: 352 Electoral Votes

The National Model
https://docs.google.com/spreadsheets/d/10dlTnin814phKJWjYdkG-ujNKak3zo6ywIP0u0-TGFg/edit#gid=1768941212

Vote share sensitivity analysis (Model 1)
-Best case: Trump had 92% of returning Romney voters and 9% of Obama voters
Trump by 49.4-45.0% (5.98 million votes)
-Base case: Trump had 90% of returning Romney voters and 7% of Obama voters
Trump by 47.8-46.7% (1.51 million votes)
-Worst case: Trump had 88% of returning  Romney voters and 5% of Obama voters
Clinton by 48.3-46.1% (2.97 million votes).

Mathematical Proof: the 2004 election was stolen
The 2004 National Exit Poll was impossible as it was forced to match the recorded vote (Bush 50.7-48.3%) using an impossible number of returning Bush 2000 voters. It indicated that 52.6 million (43% of the 2004 electorate) were returning Bush 2000 voters and just 45.3 million (37%) were returning Gore voters. But Bush had just 50.5 million recorded votes in 2000. It indicated an impossible 110% turnout of living 2000 Bush voters in 2004.

2004 Election Fraud
https://richardcharnin.wordpress.com/2015/10/30/2004-election-fraud-overwhelming-statistical-proof-that-it-was-stolen/

2004 Spreadsheet 1
https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc&usp=sheets_web#gid=7

2004 Spreadsheet 2
https://docs.google.com/spreadsheets/d/1x2WCPJautd_eZPIfkmW9W9vD2p1Zu0ZlvgqV_gUwLNM/edit#gid=13

 
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Posted by on August 28, 2017 in 2016 election, True Vote Models

 

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2016 True Vote Model- California

Richard Charnin
Aug. 22, 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
Reclaiming Science: The JFK Conspiracy
LINKS TO  POSTS
Last 3 Elections: Exact Forecast of Electoral Vote

2016 True Vote Model- California

Clinton won the recorded vote: 61.7-31.6% (4.27 million votes). But election fraud was rampant.

Consider that in 2012, Obama beat Romney by 60.2-37.1% (3.0 million votes) in California. Do you believe that Clinton beat Obama’s margin by 1.2 million? If you do, there’s a bridge in Brooklyn you may be interested in.

1) To match the recorded vote, Clinton needed to win new voters by 90-2%.
2) Nearly 450,000 angry Sanders voters did not turn out for Hillary.

Clinton won the True Vote by 55.0-37.8% (2.44 million votes).
The 1.8 million True Vote discrepancy from the recorded vote comprised nearly 2/3 of her bogus 2.8 million vote national margin.

Media shills insist that Clinton won by 3 million votes. It has become their Mantra, along with the debunked Russian “collusion”. Show them the numbers and tell them: THE RECORDED VOTE IS NEVER EQUAL TO THE TRUE VOTE. THERE IS NO SUCH THING AS A FRAUD-FREE ELECTION.

California True Vote Model
https://docs.google.com/spreadsheets/d/1R9Y3ae2uyW8SUxVUnnOt9ZyvheAxa0fAhesAw_nhciM/edit#gid=633901715

There are eleven counties in California with more registered voters than voting age adults in the county. The counties include San Francisco, Los Angeles and San Diego. Judicial Watch, a conservative watchdog organization, has sent a letter to California Secretary of State Alex Padilla on behalf of the Election Integrity Project, noting that there are 11 counties in the state with more registered voters, and alleging that the state may be out of compliance with Section 8 of the National Voter Registration Act (NVRA).
http://www.thegatewaypundit.com/2017/08/10-11-california-counties-registered-voters-voting-age-adults-democrat/

Related CA posts:
https://richardcharnin.wordpress.com/2016/06/24/smoking-gun-approximately-15-of-bernies-votes-were-flipped-to-clinton-in-california/
https://richardcharnin.wordpress.com/2017/01/01/more-clues-on-election-fraud-from-humboldt-cty-ca/
https://richardcharnin.wordpress.com/2016/11/19/implausible-california-exit-poll-and-reported-vote/
https://richardcharnin.wordpress.com/2016/12/25/california-four-election-scenarios-which-one-do-you-believe/
https://richardcharnin.wordpress.com/2017/02/05/california-primary-vote-timeline-indicates-it-was-stolen-in-early-voting-before-5pm-on-june-7/
https://richardcharnin.wordpress.com/2016/07/10/confirmation-bernie-won-california-by-at-least-100000-votes/
https://richardcharnin.wordpress.com/2016/07/06/california-primary-bernie-leads-in-vote-counts-since-election-day/
https://richardcharnin.wordpress.com/2016/07/02/bernie-landslide-in-ca-humboldt-cty-open-source-system/
https://richardcharnin.wordpress.com/2016/06/24/smoking-gun-approximately-15-of-bernies-votes-were-flipped-to-clinton-in-california/

 
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Posted by on August 22, 2017 in 2016 election

 

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2016 National Exit Poll vs. True Vote Model: How did you vote in the 2012 election?

Richard Charnin
July 9, 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

The 2008 presidential election was the last one in which the National (NEP) and state exit polls asked “How Did You Vote in the Last Election?”. A plausible reason is that the question provided clear proof of fraud in all elections from 1988-2008. The How Voted crosstab matrix required more returning Bush voters than were still alive in order to match the bogus recorded vote in 1992 (119% turnout), 2004 (110%) and 2008 (103%). Conversely, the True Vote Model, which used a feasible estimate of returning voters, confirmed the unadjusted, pristine state and national exit polls.

Since the “How Voted” question was not asked, we can derive a crosstab to match the 2016 recorded vote using assumptions for 2012 returning voter turnout and 2016 vote shares.

General Assumption: 1% Annual voter mortality

2016 Estimated National Exit Poll assumptions
Equal 96% turnout of living 2012 Obama and Romney voters.
Clinton wins 87% of returning Obama and 7% of returning Romney voters.
Trump wins 7% of returning Obama and 88% of returning Romney voters.
Trump wins new voters by 48-47%.
Clinton wins by 2.9 million recorded votes, 48.3-46.2%.

2016 True Vote Model assumptions
Voter turnout: 92% of living Obama voters and 96% of Romney voters
Clinton wins 82% of returning Obama and 7% of returning Romney voters
Trump wins 10% of returning Obama and 88% of returning Romney voters
New voters: Trump and Clinton 45% tie
Trump wins the base case scenario by 3.6 million votes, 47.8-45.1%.

2016 TVM rationale
– 96% Romney voter turnout vs. 92% for Obama: approximately 2.5 million living Obama voters were angry Sanders voters who did not vote.
– Clinton’s 82% share of returning Obama voters: approximately 2.6 million Obama voters were angry Sanders voters who defected to Jill Stein, Trump and Johnson.

NATIONAL EXIT POLL – is always forced to match the recorded vote
“HOW VOTED IN 2012” was not asked in the 2016 NEP.
It would have looked something like this…
2016….. Mix Clinton Trump Other
Obama…. 44.6% 87% 7% 6%
Romney… 41.2% 7% 88% 5%
Other…… 1.5% 45% 45% 10%
DNV….. 12.6% 47% 48% 5.4%

Total…. 100% 48.3% 46.2% 5.5%
Vote…. 136.2 65.7 62.9 7.6

TRUE VOTE
2012….. Mix Clinton Trump Other
Obama…. 42.7% 82% 10% 8%
Romney… 41.2% 7% 88% 5%
Other…… 1.5% 45% 45% 10%
DNV…… 14.5% 45% 45% 10%

Total…. 100% 45.1% 47.8% 7.1%
Vote…. 136.2 61.5 65.1 9.7

Sensitivity analysis
The tables display Trump’s total vote share and margin over a range of 25 scenarios of his  shares of returning Obama (8-12%) and Romney voters (86-90%). He wins 24 of the 25 scenarios. In the worst case scenario, Trump loses by 1 million votes (46.9-46.1%). In the best case, he wins by 8 million (49.5-43.5%). Trump wins the base case scenario by 3.6 million votes, 47.8-45.1%.

View the spreadsheet:
https://docs.google.com/spreadsheets/d/1R9Y3ae2uyW8SUxVUnnOt9ZyvheAxa0fAhesAw_nhciM/edit#gid=1768941212

 
 

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Sanders won the CA primary with at least 53% – a 14% discrepancy from the recorded vote

Richard Charnin
Feb. 9, 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 Sanders had a conservative 53.2% in the California primary. His recorded share was just 46.6%.

Knowing the extent of the fraud in the primary, are we to believe that Hillary won the popular vote by 3 million over Trump? Are we to believe the corporate media shills who are in the tank for Hillary and claim there is no evidence of fraud and that Trump is just blowing smoke?

The California primary vote timeline indicates it was stolen in early voting before 5pm on June7.

– On Election Day June 7, prior to 5pm, Sanders had 36.6% of 1.52 million recorded absentee votes by mail (VBM). But a Capitol Weekly early-voter exit poll conducted across the state of California yielded a 23 percent discrepancy in Los Angeles VBM compared to the actual results.

Ballots from likely Clinton voters were counted first while unaudited heavy batches of Sanders’ votes came in later.

On June 7, from 5pm to poll closing, Sanders had 48.9% of 1.95 million ballots. From June 8 to July 7, Sanders had 52.7% of 1.65 million ballots.

But we must also consider nearly 1 million uncounted ballots:
– Sanders had an estimated 66% of 100,000 provisional ballots.
– He had an estimated 71% of one million NPP (no-party preference) ballots.

THREE SCENARIOS
If Sanders had an early VBM share of
a- 47% he would have won CA with 53.2% (400,000 votes).
b- 42% he would have won with 52.0% (250,000 votes).
c- 36.6% (reported) he would have won with 50.7% (87,000 votes).

Spreadsheet calculations: Go to cell M88. https://docs.google.com/spreadsheets/d/1sGxtIofohrj3POpwq-85Id2_fYKgvgoWbPZacZw0XlY/edit#gid=1323002420

 
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Posted by on February 9, 2017 in 2016 election

 

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More clues on Election Fraud from Humboldt Cty, CA

Richard Charnin
Jan.1, 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

Humboldt is the gift that keeps on giving. It is the only county in the U.S. which uses an Open Source System (TEVS) to count and audit votes. The system was installed in 2006.

In the CA primary, Bernie Sanders had his highest share (71%) in Humboldt.
https://richardcharnin.wordpress.com/2016/07/02/bernie-landslide-in-ca-humboldt-cty-open-source-system/

In the 2016 presidential election, Jill Stein’s 6.1% Humboldt share was her highest in the state – just like it was for Bernie. Clinton’s 56% share in Humboldt ranked #20 of 58 California counties.

Stein’s average in the 19 counties was 2.3%. Clinton averaged 68.0%. So how come Stein did 4% better in Humboldt than she did in the other 19 liberal counties? And Clinton did 12% worse?

Did Jill Stein actually have an approximate 6% True vote in liberal CA? Did she have 4% nationally? Who believes she had just 1%? Just asking.

Could it be that fraud was prevented in Humboldt? Were nearly 2/3 of Stein’s votes blue-shifted to Clinton? Was Clinton’s 61% CA share inflated by at least 4%? Note that 4% of 14 million CA votes is 560,000. That’s a 1.2 million difference in vote margin. She won the national recorded vote by 2.8 million.

BUT THE RECORDED VOTE IS NEVER EQUAL TO THE TRUE VOTE.

In 2008-2012, Obama did 2.58% better in Humboldt than he did in the state. This is to be expected. But in 2016, Clinton did 1.75% worse in Humboldt while her 4.26% increase over Obama in CA represents a 1.2 million increase in vote margin. This is counter-intuitive. How did Clinton get all those votes? Was she really that popular? Or was her vote padded?

There is always election fraud. But in Humboldt, we can assume that the recorded vote is the True Vote due to its near foolproof Open Source system. There is no reason to believe Clinton’s recorded CA vote is legitimate.

Humboldt Democratic 2-party share
1988-2004 Before TEVS: 57.2%
2008-2016 After TEVS: 64.6%

California Presidential share
……Dem… Rep…Other
2008 60.21% 36.46% 3.33%
2012 60.24% 37.12% 2.64%
2016 61.73% 31.62% 6.66% HRC margin 7% over Obama?

Humboldt Presidential share
……Dem… Rep…Other
2008 62.05% 33.95%.4.00%
2012 59.68% 32.61% 7.72%
2016 56.04% 31.01% 12.95% HRC loses 3.64% vs Trump 1.60%

Democratic 2-party Presidential share
……CA….Humboldt..Diff
2008 62.28% 64.64% 2.36%
2012 61.87% 64.67% 2.80%
2016 66.13% 64.37% -1.75% HRC gains 4.26% over Obama?

…………………. Stein Clinton
1 San Francisco.. 2.4% 85.0%
2 Alameda……… 2.7  78.7
3 Marin…………..2.2  78.1
4 San Mateo……..1.6  75.7
5 Santa Cruz……..3.5  73.9
6 Santa Clara…….1.8  72.7
7 Los Angeles……2.2  71.8
8 Sonoma……….. 3.2  69.4
9 Contra Costa…..1.9  68.5
10 Imperial……….1.6  67.9
11 Monterey………2.1  66.8
12 Yolo…………….2.2 66.7
13 Napa……………2.1  63.9
14 Solano………….1.7  61.6
15 Santa Barbara ..2.1  60.6
16 Mendocino…….5.6  58.9
17 Sacramento….. 1.8  58.3
18 San Benito……. 1.7 57.1
19 San Diego………1.8 56.3
20 Humboldt……..6.2 56.0

View this spreadsheet of 58 county votes. https://docs.google.com/spreadsheets/d/1R9Y3ae2uyW8SUxVUnnOt9ZyvheAxa0fAhesAw_nhciM/edit#gid=1462588532

https://docs.google.com/spreadsheets/d/1R9Y3ae2uyW8SUxVUnnOt9ZyvheAxa0fAhesAw_nhciM/edit#gid=1010903783

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Posted by on January 1, 2017 in 2016 election

 

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Richard Charnin's Blog

JFK Conspiracy and Systemic Election Fraud Analysis