Hello brothers, I just wanna use this space to thank the hundreds and hundreds of patriots that helped the many groups and teams that exposed election fraud. You worked day and night, with sleep, no food, no rest, no pay. You did all this because you love this country and you deserve that people know what you did.
TY, ChesterAnthem, Epic, Bucky, Snow, Sailor, King and all the hundreds of you working behind the scenes thank you. You're the true heroes.
Patriots the 6 is the most important day of your life and if you're not in DC you're gonna regret it forever. Whatever happens that day will determine the future of our nation.
Warriors, stand together and pray to God. We will get through this together. I love you all.
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OG POST: EVERY THING YOU'RE ABOUT TO READ IS VERIFIED AND WAS MADE BY THIS PEDE [CENTIPEDE] HE DID ALL THE HEAVY WORK
🏆 https://thedonald.win/u/PedeInspector/ 🏆
🚨🚨🚨🚨EDIT NOV 12: 🚨🚨🚨
UPDATED LIST: https://pastebin.com/X6sW2aew
EDIT 2 : Link to the updated script, note, it'll have to be modified to check for the 2nd case scenario, by default it'll check just 1st case scenario, criticism is welcome but I already know the script is a mess, but I'm also confident in the results it gives.
https://workupload.com/file/DV4TvqtWEK8 Here is the script.
https://workupload.com/file/aTKhxPg2RTr And here is the data used.
Place both in the same folder.
FULL THREAD: https://thedonald.win/p/11Q8XQIWRs/-happening-ive-updated-the-switc/
The data shows serious IREGULARITIES and there should be a full investigation into the Dominion system to determine what really happened on election
🚨"Switched did happen for Biden to Trump, as some of you have pointed out, and they also happened from 3rd party to (mainly Biden) both.🚨 The results should disturb everyone.
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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.
.........
I saw the video on The Gateway Pundit [ https://www.thegatewaypundit.com/2020/11/breaking-huge-another-system-glitch-captured-live-cnn-election-night-20000-votes-swapped-trump-biden-video/ ] 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 [ https://static01.nyt.com/elections-assets/2020/data/api/2020-11-03/race-page/pennsylvania/president.json] and I found this damning evidence [ https://i.maga.host/RNPN3Oz.png ]. 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.
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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.
🚨🚨🚨WE DECIDED TO LEAVE THIS NUMBERS UP SO YOU CAN SEE HOW OUR RESEARCH HAS EVOLVED.🚨🚨🚨
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
Unknown Systems:
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.
🚨🚨FROM THE EDISON WEBSITE "Vote Count The NEP provides media organizations with real-time vote results in all 50 states for statewide races, ballot initiatives and House races" 🚨🚨
httpss://i.maga.host/wvRRA9m.png
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.
[warpigpede] Re: the data displayed inhttps://i.maga.host/wGuVGZQ.png
I calculated number of lost Trump votes as 5738.57, exactly 1% of the total number of votes (573857) at record 27:
votes 27: 573857
trump fraction: 0.578
trump votes: 331689.346
biden fraction: 0.401
biden votes: 230116.657
votes 28: 574417
trump fraction: 0.568
trump vote: 325950.776
biden vote: 232985.942
biden fraction: 0.406
votes change: +560
trump votes change: -5738.57
Exactly 1% is an awfully curious value. I wonder if it is consistent across the entire dataset
I've taken a look at the script and the data. First had to rewrite the script a bit to actually make it readable.
After that I made another function that compares the inverse (so the votes that "Biden lost to Trump") and here is an example. Findfraud_readable() is the original function, findfraud_readable_reverse() is the Trump -> Biden function.
The script is not flawed. However, the source data is. The vote share is in a 0.123 form, so there are only 3 decimal digits to the entire vote share. If you convert it into readable percentage, it would be 12.3%. The vote share percentage is not precise enough to base any wild assumptions on it, because the tenth of a percent rounding error on a million+ vote count easily causes 1000+ votes discrepancy (and on the whole state sample which iterates the entire election night, 15k+ may come up very easily). The function could be altered to let's say ignore a 0.2% discrepancy, but it still doesn't eliminate the rounding error which causes the vote count on either candidate to be way too imprecise on let's say more than 1000 votes total.
To list an actual example, let's assume 1 111 111 votes total.
Trump's share is 50.4%, Biden's share is 47.3%. That would make the Trump vote count total 561 999 votes and Biden total 525 555 votes.
Now add 10k votes to the total to make it 1 121 111 votes, make Trump's share 50.1%, Biden's share 47.6%. That would make the Trump total 561 676 votes and Biden total 533 648 votes. Seems like about 300 votes for Trump have disappeared.
The problem here is the actual Trump share value is 50.10% or perhaps 50.149% that was lost by the rounding error which would make the Trump total vote count 562 225 and (assuming the other candidates' share did not change during this period) Biden's share is 47.551% which would net him total 533 099 votes.
Here is the altered script that anyone can try, just replace the original python file, and call findfraud_both() function the same way as the original one.
This makes sense if just the % votes for each candidate were sent, but the json appears to have the actual number of votes too.
If the number of votes for each candidate were calculated from the % then there would be no need to send that data as well.