Analysis of Election Night Data from All States Shows MILLIONS OF VOTES Either Switched from President Trump to Biden or Were Lost

• Based on this initial analysis over 500,000 votes were identified that were switched from President Trump to Joe Biden.
• In addition to this another 2,865,757 votes were deleted.

Analysis of Election Night Data from All States Shows MILLIONS OF VOTES Either Switched from President Trump to Biden or Were Lost — Using Dominion and Other Systems

By Joe Hoft
Published November 10, 2020 at 6:32pm
1599 Comments

We’ve reported on numerous events in the 2020 election which are being referred to as system ‘glitches’ in the media. 

Last night we provided another ‘glitch’, this time in Wisconsin, which if reversed would eliminate Biden’s reported vote lead in the state. 

Tonight we have obtained an unaudited analysis of data available for all the states looking for system glitches and other oddities in vote counts related to the Presidential race only.

Last night we reported on another so called system ‘glitch’, this time in a county in Wisconsin.  Evidence was provided to us that showed that the vote totals for Rock County appeared to be switched between President Trump and Joe Biden.  9,516 votes were eliminated from President Trump and moved to Joe Biden. This 19,032 vote difference when corrected would eliminate Biden’s lead in Wisconsin.

TRENDING: BREAKING EXCLUSIVE: Analysis of Election Night Data from All States Shows MILLIONS OF VOTES Either Switched from President Trump to Biden or Were Lost -- Using Dominion and Other Systems

In the post last night we also identified issues we’ve reported on in Michigan, Pennsylvania and Georgia where similar ‘glitches’ occurred.

We next attempted to obtain more data on this issue so we could determine how widespread this issue may be and/or if there are reasonable explanations for what is occurring.

Then tonight we were led to a site on the Internet (https://thedonald.win/p/11Q8O2wesk/happening-calling-every-pede-to-/) where someone who had seen our posts decided to do an analysis himself.

In the piece the author claims his work is a full list of votes switched from Trump to Biden or votes erased by Dominion (the vote machines used in many states across the US).

(The author claims that his work has been verified but we have not verified the results so we currently are labeling his results “unaudited.”)

The author decided to obtain the data himself and perform an analysis of national votes switched from Trump to Biden and votes erased (the total amount of votes counted decreased by that amount throughout the counting).

The author obtained data that has been passed around that was reportedly captured by the New York Times on election night.

By examining the data the author was able to locate an instance where votes were switched from Trump to Biden so he decided to perform an analysis on the entire data set, starting with the states where Dominion voting machines are used.

The author also claims that the data is from Edison Research and it is the same data that is used for election coverage by at least ABC News, CBS News, CNN and NBC News.
It is also used for the website of the NYT, and probably others as well.

Here are the (unaudited) results by state:

The Chart Lists Votes Switched from Trump to Biden and Votes That Were Lost by Trump

	Switched Votes	Lost Votes
Dominion Systems
Pennsylvania	220,883	941,248
New Jersey	80,242	20
Florida	21,422	456
Michigan	20,213	21,882
New York	18,124	623,213
Georgia	17,407	33,574
Ohio	14,965	5,102
Virginia	12,163	789,023
California	7,701	10,989
Arizona	4,492	0
Minnesota	2,766	195,650
Tennessee	2,330	0
Louisiana	2,322	0
Illinois	2,166	54,730
Wisconsin	2,078	3,408
Colorado	1,809	0
Utah	1,627	0
New Hampshire	973	116
Iowa	938	477
New Mexico	268	4,610
Missouri	0	20,730
Nevada	0	0
Alaska	0	0
Washington	0	0
Hawaii	0	0
	434,889	2,705,228
Kansas and Texas use Premier Election Solutions, Owned by Dominion
Texas	14,954	30,557
Kansas	1,674	2,154
	16,628	32,711
Election Systems & Software
Nebraska	30,086	50
Kentucky	8,129	23,849
Arkansas	3,664	20,748
South Carolina	2,779	2,119
Montana	2,330	1,276
South Dakota	1,347	1
North Dakota	234	681
Maryland	203	0
North Carolina	0	15
District of Columbia	0	0
	48,772	48,739
Unknown Systems
Connecticut	3,834	272
Massachusetts	3,613	51
Oregon	2,557	0
Alabama	1,170	408
Mississippi	355	0
Maine	271	35
Rhode Island	6	13
West Virginia	0	78,300
Idaho	0	0
Oklahoma	0	0
Indiana	0	0
Delaware	0	0
Vermont	0	0
	11,806	79,079
OVERALL TOTALS	512,095	2,865,757

Based on this initial analysis over 500,000 votes were identified that were switched from President Trump to Joe Biden.

In addition to this another 2,865,757 votes were deleted.

Note that these numbers have not yet been audited by us. 

We also have not performed this exercise by county in these states which could impact the countrywide vote totals even more.  More needs to be done.  But what is clear, there are some very questionable transactions occurring within the voting machines and applications which need to be reviewed further because of apparent material issues in reporting.

We know there was a tremendous amount of fraud in the 2020 election.

Nobody was following Joe Biden and he had zero support, and yet his vote count surpassed the greatest campaign in US history led by President Trump. 

We are supposed to believe Joe Biden defeated President Trump and at the same time lost seats in the US House and state legislatures.  This is highly improbable.

It looks like the Democrats did everything imaginable in their attempt to steal this election. 

The problem was they never expected President Trump to lead a record breaking campaign and they got caught.

 

https://www.thegatewaypundit.com/2020/11/breaking-exclusive-analysis-election-night-data-states-shows-millions-votes-either-switched-president-trump-biden-lost/

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This is now a countrywide issue.

 

System ‘Glitch’ Also Uncovered In Wisconsin – Reversal of Swapped Votes Removes Lead from Joe Biden

By Joe Hoft
Published November 9, 2020 at 9:26pm
1119 Comments

 

 

We’ve reported on numerous events identified in the 2020 election already which are being referred to as ‘glitches’ by the Democrats.  Tonight we just uncovered another ‘glitch’ in Wisconsin. 

When this one is confirmed it will result in a 19,500 vote gain for Trump making the Wisconsin race a total toss-up.

There is now a pattern of events we have uncovered across the country where votes are being taken from Republicans at all levels and transferred to competing Democrats in offsetting amounts.  These are not random because in every case votes are moved from Republicans to Democrats. 

This is beginning to appear like a strategy used by the Democrats to steal this election.

TRENDING: HUGE EXCLUSIVE: Michigan AG Dana Nessel Sends Cease and Desist Order to Journalist Demanding He Erase His #DetroitLeaks Video Showing Voter Fraud Training -- OR FACE CRIMINAL PROSECUTION

We reported first on a system glitch, as it was labeled, in Michigan which switched 6,000 votes back to President Trump.

Then another example was uncovered in Oakland County Michigan where again a Republican won his race as a result this glitch being reversed.

Then in Pennsylvania a ‘glitch’ was uncovered where nearly 20,000 votes were moved from President Trump to Biden.
When this is confirmed it will result Biden’s lead being cut by 40,000 votes in Pennsylvania bringing this race back to even:

• Then we found approximately 6,000 votes which were taken from Trump and moved to Biden in Georgia due to a ‘glitch’:
• Now tonight we have identified approximately 10,000 votes that were moved from President Trump to Biden in just one Wisconsin County.

This information came from an individual who saw this happen in Rock County Wisconsin.

On election night the results of the county were presented during the evening and showed that President Trump won Wisconsin in 2016.  At 10:59 the votes came in and the race was close with both candidates at around 29,000 ballots.  Then by 11:12 President Trump had taken a nearly 1,000 vote lead on Biden with 31,000 votes to Biden’s 30,000:

In Rock County, Wisconsin
Rock County is a county in the U.S. state of Wisconsin. As of the 2010 census, the population was 160,331.
https://en.wikipedia.org/wiki/Rock_County%2C_Wisconsin

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At 11:21 these results had not changed much. 
Then at 11:43 more votes came in and they showed Trump had taken a commanding lead at 46,649 to Biden’s 37,133.  This was a 9,516 vote lead for Trump.

But then suddenly at 11:57 these votes had swapped. 
Biden was reported with 46,649 and Trump was reduced to Biden’s former total of 37,133.  These votes had swapped from the President Trump to Biden – again a swap from a Republican to a Democrat.

The net impact was 19,032 votes.

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We checked these numbers again tonight from a different source and the final numbers are still showing Biden ahead of President Trump by the same 9,516 votes.

Currently the race in Wisconsin is showing Biden with a lead of 1,630,570 votes to President Trump’s 1,610,030 votes.  When this adjustment is confirmed Biden will only hold a 1,508 vote lead.

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This of course is before any of the hundreds of thousands of questionable votes showing up for Biden in Milwaukee early in the morning after the election are validated.

Maybe it is time to classify these ‘glitches’ that go only one way – in the Democrats favor – as a Strategy to steal the election, not a ‘glitch’.

This is now a countrywide issue.

https://www.thegatewaypundit.com/2020/11/breaking-exclusive-system-glitch-also-uncovered-wisconsin-reversal-19032-votes-removes-lead-joe-biden/?utm_source=Twitter&utm_campaign=websitesharingbuttons

Wayback
https://web.archive.org/web/20201110135524/https://www.thegatewaypundit.com/2020/11/breaking-exclusive-system-glitch-also-uncovered-wisconsin-reversal-19032-votes-removes-lead-joe-biden/

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Joe Hoft

Summary Recent Posts Contact

Joe Hoft is the twin brother of TGP's founder, Jim Hoft. His posts have been retweeted by President Trump and have made the headlines at the Drudge Report. Joe worked as a corporate executive in Hong Kong and traveled the world for his work, which gives him a unique perspective of US and global current events. He has ten degrees or designations and is the author of three books. His new book: 'In God We Trust: Not in Lying Liberal Lunatics' is out now - please take a look and buy a copy.

 @joehoft

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15,919 views
_C_435 

8 Nov, 28 tweets, 9 min read

Pennsylvania data shows that some of the mail in ballots were returned BEFORE they were mailed, on the same day or next day. I marked such ballots as "Suspicious" (RED) in the plot. There are 109421 (3.53%) "Suspicious" ballots. @DatElefan @Peoples_Pundit @shylockh

Data is taken from here: data.pa.gov/Government-Eff…

If only look at those "suspicious" mail-in ballot - most of them come from PHILADELPHIA and LEHIGH - around 44%

Now let's look at Mail Application Type. OLMAILV-This is a mail ballot application that was submitted online. MAILIN-This is a mail-in ballot application. "Suspicious" ballots have higher ratio of Mail-In compared to Online than normal ballots.

You would expect that under normal circumstances (and if there is a perfectly legal explanation for "suspicious ballots") the turnaround time should not depend on how the ballot was requested? Also, table above is colored by %age for "% of Total(Y)" - Y for "suspicious" 

Actually, if we look at distribution of mail-in vs online requests, you can see that anomaly starts for ballots that were received whole FIVE days after they were sent. This increases number of "suspicious" ballots.

Another anomaly. There is a group of around ~1000 ballots that stands out. I called them "Fast" ballots. Suddenly a group of ballots started arriving much faster than before. They are highlighted in the plot.

This is mostly due to: CVO - absentee ballot application for an overseas civilian voter. F - absentee application for an individual who qualifies to vote for federal offices in federal election years. M - absentee ballot application for a military voter.

It seems strange that military and oversees ballots suddenly started arriving THREE days faster than general population. Median turnaround for normal ballots (excluding "suspicious") is 14 days, for "fast" it is 11 days. Means are 16.3 and 12.96 days respectively. 

One more observation. This time I overlaid initial plot with data density plot. You can see that the main injection of the suspicious ballots was around 10/26-10/27 (Mon-Tue) for Mailed Date and it was mostly the same day ballots. I estimate around 43k ballots in that group.

Age difference between normal and "Suspicious" ballots. In some counties "suspicious" ballots are much younger, in some - much older. What's the difference between CENTRE and UNION (younger) vs CUMBERLAND, GREENE, LEHIGH (older)? PA folks, let me know!

These FIVE counties mostly dropped their ballots as SAME DAY or close on 09/27-10/08 and then on 10/19. The 10/26-27 dump of same day ballots comes from a different place.

Again, these are the counties where "suspicious" - i.e. SAME DAY ballots, have significant demographic deviation from the rest. Specifically - much younger (Students from Penn and Bucknell?) and much older people. And it's only a subgroup of all the "suspicious" ballots. 

In comments ppl say same day ballots might be due to satellite locations. Plot shows when most of same day votes was done in ALLEGHENY county (red cloud) vs when those locations were open per news link (green lines)

https://twitter.com/caityspaghetti/status/1325914977614639105

Folks, I just realized that my plots with data density are incorrect. I overlaid it over actually two plots: Mail vs Return and Mail vs Mail (straight diagonal line). Well, that line also gave data density. So I'm re-plotting 3 plots without this line. Update below. 

First, counties where median age for "suspicious" ballots is either young or old. Here in legend first letter is if ballots are "suspicious" and then what county it belongs to: one of the normal counties, "old" county or "young" county.

Suspicious ballots in both "old" and "young" groups (red and blue colors) are tightly grouped together. And if we look at the median age for those groups, it's OLD people from "old" counties that have "suspicious" ballots and same for YOUNG people from "young" counties. Weird.

Digging further. Counties that have younger "suspicious" ballots. Lots of ballots mailed out on 10/03 and normally received reasonable time later (green). Then two "suspicious" peaks, most prominent around 10/26-27, returned SAME DAY or NEXT DAY (blue)

LEHIGH. Most of 88706 ballots were mailed on 10/19 (clouds are small, meaning all data is concentrated in those points). Most "suspicious" ballots from this group returned next day, 10/20 or two days EARLIER 10/17

CUMBERLAND. Most ballots mailed out around 10/06-08. Most of them received 10/13-17 (green cloud). But a lot also received same day (red cloud). These (red) are also older people.

ALLEGHENY. Mostly sent out ballots on 09/28 and then normally received it from two days later to month later. (green clouds) and then had three SAME or NEXT DAY drops around 10/11 (Sun), 10/18 (Sun) and 10/25-28 (Sun-Wed)

This plot is incorrect. I didn't realize, that straight diagonal line also gives data density on the plot. See below for updated plots. 

This plot is incorrect. I didn't realize, that straight diagonal line also gives data density on the plot. See below for updated plots. 

This plot is incorrect. I didn't realize, that straight diagonal line also gives data density on the plot. See below for updated plots. 

Final plot for today. Percent of "suspicious" ballots vs age by county. Red are the three counties where older people get more suspicious, blue is for young. Green and LEHIGH are record breaking for percentage of suspicious ballots, both skewed towards older people.

I apologize for such small scale on the rest - these two counties are pretty high. You can see uptick for young people on Union and Centre, also some in PHILADELPHIA. Remember, this is percentage, not absolute numbers. PHILY is pretty smooth due to large number of ballots overall 

Here is the data showing this. Read down the thread

Unroll available on Thread Reader

https://twitter.com/VC4351/status/1325538470593400832?s=20

Probably this way is going to be more telling. I put a smoother instead of bar chart and marked peaks that show as suspicious in my analysis.

https://threadreaderapp.com/thread/1325538470593400832.html

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