Some people are getting the maths wrong on this. I don't think they understood the Lyndell video properly but all they've done is choose the curve with the highest correlation. You'll get a high R by default so they're basically tricking themselves.
It only started to get interesting when exactly the same set of points works on multiple datasets. They're doing a more advanced version of the mathematical mistake that Shiva made as far as I can tell and it's a distraction away from the real evidence that they have.
They do eventually start to apply it to other countries which makes it more compelling.
Agree. Frank's analysis wasn't that you can emulate the shape of voters. It was that the number of voters reported went above the actual registrations in many county and states. The Dark Pool voters (for want of a better word) were sampled when the numbers had to go up. The way you test this, as he suggested, is to go to the address of that voter and see what's up. Doing that would nullify that vote.
The 2010 census was used to create a synthetic pool of voters for the 2020 election. Another related issue is that this would have actually worked if less people showed up, since the total voted would have been less than registered. It would have been harder to find the pattern.
https://rumble.com/vfjei7-interview-with-matt-deperno-on-new-explosive-evidence-submitted-in-michigan.html
Some people are getting the maths wrong on this. I don't think they understood the Lyndell video properly but all they've done is choose the curve with the highest correlation. You'll get a high R by default so they're basically tricking themselves.
It only started to get interesting when exactly the same set of points works on multiple datasets. They're doing a more advanced version of the mathematical mistake that Shiva made as far as I can tell and it's a distraction away from the real evidence that they have.
They do eventually start to apply it to other countries which makes it more compelling.
Agree. Frank's analysis wasn't that you can emulate the shape of voters. It was that the number of voters reported went above the actual registrations in many county and states. The Dark Pool voters (for want of a better word) were sampled when the numbers had to go up. The way you test this, as he suggested, is to go to the address of that voter and see what's up. Doing that would nullify that vote.
The 2010 census was used to create a synthetic pool of voters for the 2020 election. Another related issue is that this would have actually worked if less people showed up, since the total voted would have been less than registered. It would have been harder to find the pattern.