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from thedonald.win:

Here’s the idea:

People on the left are now claiming that elections (since towns start with a finite size, the counting doesn’t start at 0) don’t follow Benford’s Law, that you have to “normalize” the data. And once you do, Biden totals look real.

I have a PhD a VERY hard science (quantum mechanics). So I follow Dick Feynman’s Law, “It doesn’t matter how beautiful your theory is, it doesn’t matter how smart you are. If it doesn’t agree with experiment, it’s wrong.”

Here’s my idea. It doesn’t involve normalizing or anything.

Let’s use REAL ELECTION DATA from this election.

Separate out Wisconsin, Michigan, Georgia, and Pennsylvania, and Nevada. Put them aside for a moment.

Do Benford’s Law for each and every other state in the country, one state at a time. For Dems, Trump, and Libertardtarian. That automatically removes any second-guessing about “assumptions” or “models”.

But that’s just the first step.

Do it at 9PM election day. Do it at 7AM Nov.4 (for both the total, and for just the late votes). Do it at 7AM Nov.5 (for both the total, and for just the late votes). Do it at 7AM Nov.6 (for both the total, and for just the late votes).

Then do the same thing, for the US Senate race in each case.

This will show

a) if Benford’s Law holds for THIS election without normalizing. b) if Benford’s Law suddenly changes with new votes c) if Benford’s Law holds for the Senate but not the Presidency.

Then do the same thing for each of the supposed Dem Fraud States.

And you have an unmassaged, real-time, control group...on THIS election, so there’s no apples to oranges.

ANY TAKERS?

(Someone get this to the datacrunchers behind the Trump team, please!)