EVERY THING YOU'RE ABOUT TO READ IS VERIFIED AND WAS MADE BY THIS PEDE [CENTIPEDE] HE DID ALL THE HEAVY WORK
Edit: the data we have has been directly linked to the footage of the news networks like CNN
BTW IF YOU CAN HELP DOWNLOAD EVERYTHING AND KEEP A LOCAL COPY.. IN THE CODE WHERE YOU CAN GET INFO FOR ALL THE STATES, DOWNLOAD FOR ALL THE STATES.
REMINDER: THIS DOESN'T TAKE INTO ACCOUNT ALL THE HUNDRED THOUSANDS OF TRUMP VOTES DESTROYED, BURNED AND RIPPED APART, THE THOUSANDS OF BALLOTS JUST MARKED FOR BIDEN. THIS IS THE EVIDENCE WE'VE FOUND SO FAR.
PEDES GET IN HERE. I saw the video on The Gateway Pundit [ ] and I decided to do some digging of my own, into a more reputable source that can verify that the glitch was indeed real, and that it affected the votes, instead of it being just a display glitch on that news channel. So I went digging into the Edison data [ ] and I found this damning evidence [ ]. As can be seen in the image, only 54 votes were added, but the ratio changed in Biden's favor by a whole 0.6%! This is proof that not only did the glitch happen, but it doesn't seem to have been reverted at all.
EDIT : BIG UPDATE, I made a script to run through the data and gather all instances where votes switched from Trump to Biden, Lost Votes means that the total amount of votes counted decreased by that amount throughout the counting. I've only done states that use Dominion Voting Systems so far.
EDIT 2: Added ALL the states, and separated by voting systems, although no state uses exclusively one system as far as I know.
Edit 3: Re-ordered the states, first by switched votes, then by lost votes.
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.
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:
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 [ ] 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.
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.
[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:
[ComeAndTakeIt_Texas] Hey TrumanBlack, I crunched the 27/28 timestamp data you posted (specifically this - ), and uploaded a spreadsheet analysis here (). 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.