Consider what this data is telling us. This data is telling us that the more likely a precinct is to be Republican, the more likely it is the Republicans in that district voted for Biden over Trump, and they did so at a mathematically perfect rate.
This is an impossibility. People are sent to jail in fraud cases with far less evidence than this. . . .
This software is in use far beyond the four counties that were analysed by Dr. Ayyadurai’s team. It explains how Joe Biden, a man who couldn’t get more than a handful of people to turn up at one of his “rallies” managed to get more votes than Donald Trump, a man who routinely held rallies that drew over 50,000 screaming fans who were collectively chanting “WE LOVE YOU!”
Biden did not win this election, and now there is ZERO doubt about that fact.
That says it all.
Let’s see why such an algorithm might be constructed in that way. The author of the algorithm wants to inflate Biden’s vote, but do it subtly. He doesn’t know what kind of precinct a given machine will be in, and in any event you can’t actually tailor the algorithm to the precinct. So it has to learn what kind of district it’s in, by detecting the percentage of straight Republican vs. straight Democrat ballots.After a certain point, the logic goes, “OK. Too many Republicans in this precinct, we gotta fudge the number of Trump votes down and the number of Biden votes up.
Or do you just count a certain number of “excess” Republican over Democrat votes, and flip one ballot from Trump to Biden?