Democrat Operatives in Michigan and Georgia Tampered with Military Ballots — Filled Out New Ones 100% MARKED FOR JOE BIDEN

Richard Charnin May 25, 2021

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“The Michigan Senate Oversight Committee on Tuesday held a hearing in Lansing on election fraud and irregularities.

President Trump was ahead of Joe Biden in Michigan on election night when all of a sudden they stopped counting votes.

At around 4:30 AM AFTER Election Day, a massive ballot dump of more than 130,000 votes appeared for Joe Biden in Michigan.

One GOP elections observer on Tuesday said all of the military ballots she saw looked like “Xerox copies” of each other – none were registered Michigan voters and 100% went for Joe Biden”.

—–

https://www.thegatewaypundit.com/2020/12/pure-evil-democrat-operatives-michigan-georgia-tampered-military-ballots-filled-new-ones-100-marked-joe-biden/

 

The Democrats and the Media does not want to allow the 2020 Election Audit in Maricopa County, AZ.

Media in AZ Continues to Attack the Senate and Anyone Involved in the Maricopa County 2020 Election Audit

 

CDC: Side-effects of Wearing a Mask

Richard Charnin

4/21/21

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An article published by the CDC in June 2020 states side-effects of wearing a mask, specifically trapping carbon dioxide or CO2. The article states that the masks cause breathing resistance which could result in a reduction in the frequency and depth of breathing, known as hypoventilation, in as little as an hour of wearing a mask.

The article further went onto elaborate of the side-effects of increased CO2 concentrations in the mask wearer that include:

1 Headache

2 Increased pressure inside the skull

3 Nervous system changes

4 increased pain threshold

5 reduction in cognition

6 altered judgement

7 decreased situational awareness

8 difficulty coordinating sensory or cognitive abilities and motor activity

9 decreased visual acuity

10 widespread activation of the sympathetic nervous system that can oppose the direct effects of CO2 on the heart and blood vessels

11 Increased breathing frequency

12 Increased “work of breathing”, which is a result of breathing through a filter medium

13 Cardiovascular effects (e.g., diminished cardiac contractility, vasodilation of peripheral blood vessels)

14 Reduced tolerance to lighter workloads.

Rand Paul Criticizes Dr. Fauci Over Mask Mandate; Newly Uncovered CDC Document Shows Adverse Effects

 

NY Times: PA and GA vote timelines show Trump losing votes. How do votes disappear?

Richard Charnin Feb.5, 2021

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How do votes disappear? The NY Times PA data timeline shows Trump losing votes. But the Times says do not believe your lying eyes; there was no election fraud. A statistical analysis of New York Times data in Philadelphia claims a suspicious string of voting “ratios” benefiting Biden, as also happened in Georgia.

By 11pm Election Day, Trump was leading Biden by about 285,000 votes. Then, 347,768 votes from somewhere dumped into the system in 44 batches in increments of approximately 6,000, 12,000, or 18,000 additional net votes for Biden. As a result, Biden came back from an election night deficit of 285,000 to a 46,000 vote win four days later. https://centralcitynews.us/wp-content/uploads/2020/11/Central-City-News-11-19-20-Small.pdf

The NY Times GA data timeline also shows Trump losing votes. But the Times says do not believe your lying eyes; there was no election fraud. Statistical analysis shows Biden pulling from behind in improbably consistent increments in Georgia and other states.

“On Wednesday, Nov. 4, the New York Times reported President Trump was leading in Georgia by 103,997 votes. Then the Times’ continuous voting updates showed ballots arriving for Biden in multiples of 4,800 votes over and over again. In some vote dumps, the President actually lost votes.” This continued until Biden pulled ahead by almost exactly 1,000 votes, gaining 104,984 votes in multiples of 4,800.

https://sharylattkisson.com/2020/12/what-youve-been-asking-for-a-fairly-complete-list-of-some-of-the-most-significant-claims-of-2020-election-miscounts-errors-or-fraud/

 

Trump 2020: 25 scenarios

Richard Charnin – Jan. 27, 2021

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(based on estimated turnout and vote shares)

Trump range: Share 52.6% to 56.8%; Votes: 83.3m to 90.0m; margin: 11.7m to 25.1m

https://docs.google.com/spreadsheets/d/1yh0YkXBVctdJwt0_XHrpCC6f7K30oEz0Vr13MiU5qT4/edit#gid=297739797

		Dem	Rep	Ind
	Gallup ID	31.0%	31.0%	38.0%
	Trump %	12.0%	96.0%	57.0%
	Turnout	94%	98%	96%
	Base case	Biden	Trump
	Vote share	41.6%	56.2%
	Votes	65.9	89.0
			% Dem
	10.0%	11.0%	12.0%	13.0%	14.0%
% Ind			Trump
57%	55.6%	55.9%	56.2%	56.5%	56.8%
55%	54.9%	55.2%	55.5%	55.8%	56.1%
53%	54.1%	54.4%	54.7%	55.0%	55.3%
51%	53.4%	53.6%	53.9%	54.2%	54.5%
49%	52.6%	52.9%	53.2%	53.5%	53.8%
			Votes
57%	88.1	88.6	89.0	89.5	90.0
55%	86.9	87.4	87.8	88.3	88.8
53%	85.7	86.2	86.6	87.1	87.6
51%	84.5	85.0	85.4	85.9	86.4
49%	83.3	83.8	84.2	84.7	85.2
			Margin
57%	21.3	22.3	23.2	24.1	25.1
55%	18.9	19.8	20.8	21.7	22.7
53%	16.5	17.4	18.4	19.3	20.3
51%	14.1	15.0	16.0	16.9	17.9
49%	11.7	12.6	13.6	14.5	15.5

 

Navarro Report Volume 3: Yes, President Trump WON – The Case, Evidence, & Statistical Receipts

Richard Charnin Jan. 15, 2020

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This third installment of Navarro’s report provides investigators with up-to-date statistical “receipts” and a well-documented tally of potentially illegal votes on a state-by-state and category-by-category basis. Source: NavarroReport.com:

Volume 3 provides a scholarly rendering of the potential number of illegal votes in the 2020 election. Peter Navarro welcomes anyone who wishes to dispute its findings “because that is the nature of scholarly discourse.”

Note: The above table does not include 1) estimated 2.5% machine vote flipping from Trump to Biden, 2) Dr. Epstein’s estimate that 6-10% of Trump voters flipped to Biden from the propaganda effect of Google algorithms which favored Biden, and 3) a survey which found that 7% of Biden voters would have voted for Trump if they knew about the Biden scandals.

Model 1: cell A95 https://docs.google.com/spreadsheets/d/1yh0YkXBVctdJwt0_XHrpCC6f7K30oEz0Vr13MiU5qT4/edit#gid=297739797

Model 2: cell M8 https://docs.google.com/spreadsheets/d/1yh0YkXBVctdJwt0_XHrpCC6f7K30oEz0Vr13MiU5qT4/edit#gid=376710386

Illegal voters, Biden margin, Trump margin – Election models 1&2

	AZ	GA	MI	NV	PA	WI
Illegal votes	255	601	447	220	992	554
Biden margin	10	12	155	34	82	21
Trump Model 1	490	751	563	217	812	405
Trump Model 2	592	879	855	220	1,164	566

 

Senate runoff: What is the probability of a 150,000 vote spike for the Dems 10 minutes after stopping the count?

Richard Charnin Jan.6, 2021

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The corrupt MSM, Dems and Repubs will say they don’t see anything suspicious in the graph and that we should not believe our lying eyes. What is the probability of a 150,000 vote spike for the Dems 10 minutes after stopping the count? Looks like the PA election late night vote dump, but on a smaller scale.

 

A closer look at U.S. deaths due to COVID- 19

Richard Charnin – Jan. 3, 2021

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Deaths from other causes are included in the COVID-19 total…

“When Briand looked at the 2020 data during that seasonal period, COVID-19-related deaths exceeded deaths from heart diseases. This was highly unusual since heart disease has always prevailed as the leading cause of deaths. However, when taking a closer look at the death numbers, she noted something strange.

As Briand compared the number of deaths per cause during that period in 2020 to 2018, she noticed that instead of the expected drastic increase across all causes, there was a significant decrease in deaths due to heart disease. Even more surprising, as seen in the graph below, this sudden decline in deaths is observed for all other causes.

This trend is completely contrary to the pattern observed in all previous years. Interestingly, as depicted in the table below, the total decrease in deaths by other causes almost exactly equals the increase in deaths by COVID-19. This suggests, according to Briand, that the COVID-19 death toll is misleading. Briand believes that deaths due to heart diseases, respiratory diseases, influenza and pneumonia may instead be recategorized as being due to COVID-19″ . https://archive.is/DJdin

 

The Electoral vs. Popular vote Myth

Richard Charnin – Jan.3, 2021

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The conventional wisdom is that a presidential candidate could win the popular vote and lose the electoral vote – or vice versa. This is extremely unlikely in a fair election; there is virtually a 100% probability that the winner of the popular vote would win the electoral vote. But all elections are fraudulent to some extent.

The Democrats want to get rid of the electoral college and replace it with the winner of the popular vote, thinking this would help them win elections in the future. But this is based on the  premise that they can more easily win or steal the popular vote, like they  have done in the last two elections. Consider the 2000, 2004, 2016 and 2020 elections, all of which were fraudulent.

Bush stole the 2000 election. He won the Electoral vote by 271-267.  Gore won the recorded popular vote by 540,000 and the true vote by at least 5 million. He led the unadjusted exit polls in 11 states but lost them all in the vote. If he had won just one, he would have won the election.

Bush stole the 2004 election. He won the bogus recorded popular vote by 3 million and the electoral vote by 286-252.. But Kerry won the true popular vote and the unadjusted exit polls by at least 7 million. He  had approximately 349 electoral votes.

Clinton tried to steal the 2016 election. She won the bogus recorded vote by 3 million. But Trump won the electoral vote by 306-232 as well as the true popular vote.

Biden stole the 2020 election, the most fraudulent in history. He won the bogus recorded vote by 7 million and the electoral vote 306-232. But Trump won the true popular vote by 15-18 million with 356-393 electoral votes.

2020 Recorded Vote: Biden 51.3-46.9%, 306-232 EV; True Vote Model: Trump 55.1-42.7%, 393 EV https://docs.google.com/spreadsheets/d/1yh0YkXBVctdJwt0_XHrpCC6f7K30oEz0Vr13MiU5qT4/edit#gid=297739797

2016 Recorded Vote: Clinton 48.3-46.2%, Trump 306-232 EV; True Vote Model: Trump 47.5-46.1%, 354-184 EV https://richardcharnin.wordpress.com/2016/11/07/2016-election-model-forecast/ https://docs.google.com/spreadsheets/d/1sGxtIofohrj3POpwq-85Id2_fYKgvgoWbPZacZw0XlY/edit#gid=1739803045

2004 Recorded Vote: Bush 50.7- 48.3%, Bush 286-252 EV; True Vote Model: Kerry 53.6-45.1%, 364 EV; Unadjusted National Exit Poll: Kerry 51.7-47.0%; Unadjusted State Exit Polls: Kerry 51.1-47.6%, 349 EV https://richardcharnin.wordpress.com/2012/02/21/the-final-2004-national-exit-poll-switched-7-2-of-kerry-responders-to-bush/ https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdGN3WEZNTUFaR0tfOHVXTzA1VGRsdHc#gid=0

2000 Recorded Vote: Gore 48.4-Bush 47.9%, Bush 271- 267 EV; True Vote Model: Gore 51.5-44.7%, 404 EV; Unadjusted National Exit Poll: Gore 48.5-46.3%; Unadjusted State Exit Polls aggregate: Gore 50.8-44.4% https://richardcharnin.wordpress.com/2011/11/21/unadjusted-state-exit-polls-indicate-that-al-gore-won-a-mini-landslide-in-2000/ https://docs.google.com/spreadsheet/ccc?key=0AjAk1JUWDMyRdFIzSTJtMTJZekNBWUdtbWp3bHlpWGc#gid=4

 

2020 Election Model Update: 1/1/2021

Richard Charnin – Jan.1, 2021

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2020 Election Model. View 10 pre-election polls and recorded state votes, party-ID, model popular votes, shares and electoral votes.

1) National Model input data/calculations in row 5, 2) 25 Trump vote share scenarios in row 35, 3) Model output in row 95.

https://docs.google.com/spreadsheets/d/1yh0YkXBVctdJwt0_XHrpCC6f7K30oEz0Vr13MiU5qT4/edit#gid=297739797

Consider two model scenarios:

1) Trump: 96% of Repubs, 12% of Dems and 57% of Independents. He has 393 EV, 54.6%, 14.7m vote margin.

2) Trump: 96% of Repubs, 10% of Dems and 55% of Independents. He has 389 EV, 53.4%, 11.4m vote margin.

Note: Equal voter turnout is assumed. This is conservative. Republicans turn out at higher rates than Democrats. Therefore, we can assume Trump did better than the results below indicate.

	Scenario 1	Gallup
	Turnout	Party-ID	Biden	Trump	Other
Dem	60.2	42.4%	87.0%	12.0%	1.0%
Rep	60.4	42.5%	4.0%	96.0%	0.0%
Ind	21.4	15.1%	38.0%	57.0%	5.0%
	National Model	100.0%	44.3%	54.5%	1.2%
	Votes	142.0	63.0	77.4	1.6
	Margin/EV	14.4	145	393
	State Model	100.0%	44.2%	54.6%	1.2%
	Votes	142.0	62.8	77.5	1.7
	Margin/EV	14.7	145	393
	Recorded	12/13	51.3%	46.9%	1.8%
	Votes	158.38	81.3	74.2	2.9
	Margin/EV	-7.1	306	232

	Scenario 2	Party-ID	Biden	Trump	Other
Dem	60.2	42.4%	89.0%	10.0%	1.0%
Rep	60.4	42.5%	4.0%	96.0%	0.0%
Ind	21.4	15.1%	40.0%	55.0%	5.0%
	National Model	100.0%	45.5%	53.3%	1.2%
	Votes	142.0m	64.6	75.7	1.7
	Margin/EV	11.2m	149	389
	State Model	100.0%	45.4%	53.4%	1.2%
	Votes	142.0	64.4	75.9	1.7
	Margin/EV	11.4m	149	389
	Recorded		51.3%	46.9%	1.8%
	Votes	158.4m	81.3	74.2	2.9
	Margin/EV	-7.1m	306	232

SensitivityAnalysis

%Dem	10.0%		Trump %Rep
Trump	88.0%	90.0%	92.0%	94.0%	96.0%
% Ind			Trump
55%	49.9%	50.8%	51.6%	52.5%	53.3%
53%	49.6%	50.5%	51.3%	52.2%	53.0%
51%	49.3%	50.2%	51.0%	51.9%	52.7%
49%	49.0%	49.9%	50.7%	51.6%	52.4%
47%	48.7%	49.6%	50.4%	51.3%	52.1%
			Biden
55%	48.9%	48.0%	47.2%	46.3%	45.5%
53%	49.2%	48.3%	47.5%	46.6%	45.8%
51%	49.5%	48.6%	47.8%	46.9%	46.1%
49%	49.8%	48.9%	48.1%	47.2%	46.4%
47%	50.1%	49.2%	48.4%	47.5%	46.7%
			Margin
55%	1.1%	2.8%	4.5%	6.2%	7.9%
53%	0.5%	2.2%	3.9%	5.6%	7.3%
51%	-0.1%	1.6%	3.3%	5.0%	6.7%
49%	-0.7%	1.0%	2.7%	4.4%	6.1%
47%	-1.4%	0.4%	2.1%	3.8%	5.5%
			Margin
55%	1.5	3.9	6.3	8.8	11.2
53%	0.7	3.1	5.5	7.9	10.3
51%	-0.2	2.2	4.6	7.0	9.5
49%	-1.1	1.4	3.8	6.2	8.6
47%	-1.9	0.5	2.9	5.3	7.7

 

2020 National Exit Poll: How did you vote in 2016, Party-ID, Sensitivity analysis of alternate vote share assumptions

Richard Charnin – Dec. 5, 2020

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We are constantly fed propaganda by the media and politicians that Clinton won the popular vote by 2.8 million. But the NEP How Voted 2016 demographic indicates that 43% voted for Trump and 40% for Clinton. Trump had a much bigger margin in 2020 than he did in 2016. Election fraud in 2020 is massive. Biden won the bogus reported vote by 80.7-74.6 million (51.0-47.1%). But Trump won the election in a landslide. This should be obvious to anyone who looks at the overwhelming evidence of fraud. The 2020 National Exit Poll (NEP) forced a match to the fraudulent reported vote. The focus is on two demographics: returning 2016 voters and party affiliation.

In the 2016-1 analysis, the 2016 reported vote (Clinton by 48.2-46.1%) is assumed as the basis for voter turnout in 2020. Trump wins by 6.1 million votes (50.6-48.4%). In 2016-2, returning voters are based on the 2020 NEP (Trump by 43-40%). Trump wins by 12.0 million votes (53.2-44.8%). In both cases, equal turnout rates of Trump and Clinton voters is assumed. This is conservative. Historically, Republicans turn out at higher rates than Democrats.

2020 NEP	Mix	Biden	Trump	Other
Clinton	40%	95%	4%	1%
Trump	43%	7%	92%	1%
Other	5%	60%	25%	15%
DNV (new)	12%	58%	39%	3%
Calculated	100.0%	51.0%	47.1%	1.9%
Vote (mil)	158.38	82.08	75.13	1.17
	Margin	6.95
Recorded	100.0%	51.3%	46.9%	1.8%
Vote	158.38	81.27	74.22	2.90

2016-1	Mix	Biden	Trump	Other
Clinton	44.4%	90%	7%	3%
Trump	42.5%	2%	96%	2%
Other	5.2%	37%	55%	8%
DNV (new)	7.9%	48%	52%	0%
Calculated	100.0%	46.5%	50.9%	2.6%
Vote (mil)	142.0	66.1	72.2	3.7
		Margin	6.1

2016-2	Mix	Biden	Trump	Other
Clinton	38.8%	90%	8%	2%
Trump	41.4%	2%	96%	2%
Other	4.2%	37%	55%	8%
DNV (new)	15.6%	48%	52%	0%
Calculated	100.0%	44.8%	53.2%	1.9%
Vote (mil)	142.0	63.6	75.6	2.8
		Margin	12.0

2020 NEP
Voted 2016	Clinton	Trump	Other	DNV
National	40%	43%	5%	12%
FL	38%	44%	5%	13%
PA	41%	44%	4%	11%
OH	36%	46%	5%	13%
GA	38%	40%	5%	17%
MN	39%	41%	8%	12%
WI	39%	42%	7%	12%
MI	40%	42%	4%	14%
AVG	38.7%	42.7%	5.4%	13.1%

In the Sensitivity analysis of 25 scenarios: Trump has 92-96% share of returning Trump voters and 6-10% of Clinton voters. His vote margins range from 5.1 (worst case) to 14.2 million (best case).

Trump %
Other 55%
DNV 52%			%Clinton
	6%	7%	8%	9%	10%
% Trump			Trump
96%	52.5%	52.9%	53.2%	53.6%	54.0%
95%	52.1%	52.4%	52.8%	53.2%	53.6%
94%	51.6%	52.0%	52.4%	52.8%	53.2%
93%	51.2%	51.6%	52.0%	52.4%	52.8%
92%	50.8%	51.2%	51.6%	52.0%	52.4%
			Biden
96%	45.6%	45.2%	44.8%	44.4%	44.0%
95%	46.0%	45.6%	45.2%	44.8%	44.5%
94%	46.4%	46.0%	45.6%	45.3%	44.9%
93%	46.8%	46.4%	46.1%	45.7%	45.3%
92%	47.2%	46.9%	46.5%	46.1%	45.7%
			Margin
96%	6.9%	7.6%	8.4%	9.2%	10.0%
95%	6.0%	6.8%	7.6%	8.4%	9.1%
94%	5.2%	6.0%	6.8%	7.5%	8.3%
93%	4.4%	5.2%	5.9%	6.7%	7.5%
92%	3.6%	4.3%	5.1%	5.9%	6.7%
			Margin
96%	9.8	10.9	12.0	13.1	14.2
95%	8.6	9.7	10.8	11.9	13.0
94%	7.4	8.5	9.6	10.7	11.8
93%	6.2	7.3	8.4	9.5	10.6
92%	5.1	6.2	7.3	8.4	9.5

In the Party-ID demographic, Democrats comprised 37% and Republicans 36%. Biden won 94% of Democrats and 6% of Republicans, Trump won 94% of Republicans and just 5% of Democrats. But Biden led Independents by 54-41%, giving him a 7.5 million vote margin (51.5-46.8%). In the adjusted calculation, I use the latest Gallup voter affiliation weights (31D-31R-28I) and estimate that Trump had 52% of Independents and won by 6.8 million votes (50.6-47.1%).

View the spreadsheet calculations. https://docs.google.com/spreadsheets/d/1yh0YkXBVctdJwt0_XHrpCC6f7K30oEz0Vr13MiU5qT4/edit#gid=0

The National Exit Poll: https://www.cnn.com/election/2020/exit-polls/president/national-results

This article from Paul Craig Roberts, an eminent historian, spells it all out.

The Proof Is In: The Election Was Stolen

 

2020 Election Unmasked

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PhD Dr. Douglas Frank: The identical computer algorithm was applied in every state to steal the 2020 election

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Dr. Douglas Frank holds a Ph.D in Surface Analytical Chemistry for the University of Cincinnati. Dr. Frank is an internationally recognized scientist with over fifty scientific publications.

Expert Reveals That the Same Computer Algorithm Was Applied in Every State to Steal the 2020 Election

WHAT DR. FRANK DISCOVERED ABOUT NOV. 2020 ELECTIONS

Dr. Frank has spent countless hours since the 2020 elections following the data of the election returns county by county across such states as Ohio, Pennsylvania, and Colorado to name a few.

Dr. Frank’s scientific and mathematical investigation has revealed that there was absolutely massive cyber fraud in the 2020 elections.

Dr. Frank’s investigation reveals that the 2010 national census data was used to pre-set the algorithms in the voting machines.  This in turn manipulated the 2020 election rolls by injecting phantom votes into the election totals.

His scientific investigation documented and proved that numerous states throughout America had more people voting than lived in many of the counties.

By using the 2010 census, the cheaters [China, Iran, the Biden campaign, the Democrats?] who pre-set the algorithm “keys” produced votes for voters who had passed away or who no longer lived in the county or state.

In numerous documented cases, voters showed up to vote at their precinct only to be told they had already voted, when in fact, they had not voted.

What is now being revealed by the scientific investigation of Dr. Frank is that these Americans had their votes cast for them through a highly sophisticated computer program.

This fraud did not occur in just a few precincts, counties, or swing states but occurred on a national basis as shown by Dr. Frank’s statistics and charts.  

Dr. Frank also reveals that even in the states President Trump won, the President won those states by larger numbers than was reported.

 

HERE IS THE EVIDENCE

Richard Charnin Feb.8, 2021

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HERE IS THE EVIDENCE (click Election 2020 below) is a crowdsourcing tool for organizing anomalies and legal issues. It is for aggregating publicly available items of evidence that would be admissible in court, not general election news stories or updates. Data is grouped by category, state, source, type and is sortable.

Categories 1. Voting irregularities 2. Illegal votes 3. Polling place irregularities 4. Discarded or Destroyed ballots 5. Voting machines 6. General 7. Unverified new submissions

Election 2020

Election 2020

 

The Italian job: Leonardo’s masterpiece- proof of who flipped the votes

Richard Charnin

Jan. 7, 2021

Breaking today: The Smoking Gun The Italian job: Leonardo’s masterpiece- proof of who flipped the votes https://www.youtube.com/watch?fbclid=IwAR0gUEmVPrLA8I7oH0rVGmbRWsGPnmk-E7I3x4fg8j701WGX6TE7MIpytII&v=cew2g_KX0xo&feature=youtu.be