Data Shows ALL SWITCHED Votes WERE TAKEN FROM TRUMP & GIVEN TO BIDEN!

BREAKING: #TrumanBlack Has Created A Computer Script That Combs Thru All The Election Data & Identifies Votes That:
"SWITCHED" FROM #TRUMP TO #BIDEN
& Votes "LOST" That Disappeared!
Data Shows ALL SWITCHED Votes WERE TAKEN FROM TRUMP & GIVEN TO BIDEN!
Site:https://t.co/kZBtfnHajR pic.twitter.com/4GFFWV6x1F

— John Basham 🇺🇲 (@JohnBasham) November 11, 2020

Switched votes are votes that were taken from Trump and given to Biden.

Lost votes are voted that disappeared during the counting, from both candidates.

There might be a small overlap between Switched votes and Lost votes.

Dominion Voting Systems :

Pennsylvania : Switched : 220,883 Lost Votes : 941,248

New Jersey : Switched : 80,242 Lost Votes : 20

Florida : Switched : 21,422 Lost Votes : 456

Michigan : Switched : 20,213 Lost Votes : 21,882

New York : Switched : 18,124 Lost Votes : 623,213

Georgia : Switched : 17,407 Lost Votes : 33,574

Ohio : Switched : 14,965 Lost Votes : 5,102

Virginia : Switched : 12,163 Lost Votes : 789,023

California : Switched : 7,701 Lost Votes : 10,989

Arizona : Switched : 4,492 Lost Votes : 0

Minnesota : Switched : 2,766 Lost Votes : 195,650

Tennessee : Switched : 2,330 Lost Votes : 0

Louisiana : Switched : 2,322 Lost Votes : 0

Illinois : Switched : 2,166 Lost Votes : 54,730

Wisconsin : Switched : 2,078 Lost Votes : 3,408

Colorado : Switched : 1,809 Lost Votes : 0

Utah : Switched : 1,627 Lost Votes : 0

New Hampshire : Switched : 973 Lost Votes : 116

Iowa : Switched : 938 Lost Votes : 477

New Mexico : Switched : 268 Lost Votes : 4,610

Missouri : Switched 0 : Lost Votes : 20,730

Nevada : Switched : 0 Lost Votes : 0

Alaska : Switched : 0 Lost Votes : 0

Washington : Switched : 0 Lost Votes : 0

Hawaii : Switched : 0 Lost Votes : 0

Kansas and Texas use Premier Election Solutions, owned by Dominion Voting Systems.

Texas : Switched : 14,954 Lost Votes : 30,557

Kansas : Switched : 1,674 Lost Votes : 2,154

Election Systems & Software :

Nebraska : Switched : 30,086 Lost Votes : 50

Kentucky : Switched : 8,129 Lost Votes : 23,849

Arkansas : Switched : 3,664 Lost Votes : 20,748

South Carolina : Switched : 2,779 Lost Votes : 2,119

Montana : Switched : 2,330 Lost Votes : 1,276

South Dakota : Switched : 1,347 Lost Votes : 1

North Dakota : Switched : 234 Lost Votes : 681

Maryland : Switched : 203 Lost Votes : 0

North Carolina : Switched : 0 Lost Votes : 15

District of Columbia : Switched : 0 Lost Votes : 0

Nebraska : Switched : 30,086 Lost Votes : 50

Connecticut : Switched : 3,834 Lost Votes : 272

Massachusetts : Switched : 3,613 Lost Votes : 51

Oregon : Switched 2,557 Lost Votes : 0

Alabama : Switched : 1,170 Lost Votes : 408

Mississippi : Switched : 355 Lost Votes : 0

Maine : Switched : 271 Lost Votes : 35

Rhode Island : Switched : 6 Lost Votes : 13

West Virginia : Switched : 0 Lost Votes : 78,300

Idaho : Switched 0 Lost Votes : 0

Oklahoma : Switched : 0 Lost Votes : 0

Indiana : Switched : 0 Lost Votes : 0

Delaware : Switched : 0 Lost Votes : 0

Vermont : Switched : 0 Lost Votes : 0

NOTE : Lost votes are votes that disappeared, not only for Trump, but overall.

VERIFIED!!!!:

I went looking through the data I got from my script, trying to find if the moment the Antrim glitch happened in Michigan is there. And it is. Here is the Data. [ https://static01.nyt.com/elections-assets/2020/data/api/2020-11-03/race-page/michigan/president.json ]

And here is the specific part when the switch happened. [ https://i.maga.host/wGuVGZQ.png ]

You can see in that picture, that Trump lost 3,096 votes, those all went to Biden. BUT, Trump also lost 2,324 votes, that went nowhere.

EDIT: Those 2,324 were moved from Trump to Jorgensen.

Jorgensen votes = Total votes * (1 – Trump share – Biden share)

Nr.27 : 573,857 * (1 – 0.578 – 0.401) = 12,051

Nr.28 : 574,417 * (1 – 0.568 – 0.406) = 14,935

Jorgensen vote increase from Nr.27 to Nr.28 = 14,935 – 12,051 = 2,884

Total vote increase from Nr.27 to Nr.28 = 574,417 – 573,857 = 560

Jorgensen vote increase – Total vote increase = 2,884 – 560 = 2,324

SOURCES: Here is the data I used:

EDISON DATA: https://static01.nyt.com/elections-assets/2020/data/api/2020-11-03/race-page/pennsylvania/president.json

https://workupload.com/file/LVcwK7AAD8p

The data is from Edison Research, it 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.

I scraped the data from the NYT website, here [ https://static01.nyt.com/elections-assets/2020/data/api/2020-11-03/race-page/pennsylvania/president.json ] to check for other states, replace “pennsylvania” in the link with the state you want to check, for states that have spaces in their names, like new york, write new-york instead.

Take this picture for example. [ https://i.maga.host/RNPN3Oz.png ]

It’s like this:

Nr.187 : 2,984,468(Total votes) * 0.566(Trump share of the votes) = 1,689,208.888

Nr.188 : 2,984,522 * 0.56 = 1,671,332.32

Do the same thing for Biden, and you’ll see that he gained the votes that Trump lost.

I made a program that basically checks every single change in votes, does the above to check if votes were switched, then adds them all up to get the total amount of switched votes.

Here is the link to a rar file containing all the .json files for the states, and the fraudcatch.py file, you’d need to download python 3.8.2 to use it, click EDIT with idle, then in the window that pops up click Run, to check how many votes were switched from Trump to Biden in a state, you then type findfraud(‘hawaii’) for example, replace hawaii with the name of the file of the state you want to check, the file for new hampshire is named newhamp for example, so findfraud(‘newhamp’), to check the total lost votes (For both candidates) do lostvotes(‘newhamp’) for example. https://workupload.com/file/s7s8SARjjqh

[pede444wow] I took the json files that are included here, and wrote a python script to convert the critical data to one csv file, so you can analyze it in excel:

python script: https://pastebin.com/Q6nTP04N

result csv file: (download and save to csv file, then open in excel) https://pastebin.com/FQuxxTvK

[montag] Here’s a GitHub repo of the same data source taken at incremental time periods. https://github.com/favstats/USElection2020-NYT-Results

[ComeAndTakeIt_Texas] Hey TrumanBlack, I crunched the 27/28 timestamp data you posted (specifically this – https://i.maga.host/wGuVGZQ.png), and uploaded a spreadsheet analysis here (https://i.maga.host/xbwnVuk.png). I do a worst-case and best-case rounding error to generate Max T Vote, Min T Vote, and Max B Vote and Min B Vote that shows if you have 0.578 share, the max number that would represent would be 0.57849999999, and the min number would be 0.5775. The specific pic highlighted here allows no possible way whatsoever that Trump did not lose votes. The smallest number of votes he could have lost assuming in 27 there is a worst case rounding error and in the 28 step there is a best case rounding error (extremely unlikely), Trump lost a 4846.353. In worst case, he lost 5994.627 votes. There is literally NO way anyone can explain this away. They can also not explain that away as an asynchronous issue, as the timestamp itself is later (1), and (2), the total vote count increased. This single time step is proof alone.