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
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