This is a really mathematically nerdy article, but in the interest of simplicity, I’m going to keep leave out a lot of the technical jargon.

In mathematics, and more specifically statistics, there is a thing called “Benford’s Law” where groups of naturally occurring numbers have a certain distribution when you look at their leading digit.

Essentially you will see a scalable number closely match the expected distribution from Benford’s law. This applies to things like bank account balances, city populations, and vote tallies per precinct – things that scale in size. It doesn’t apply to artificial things like SSN numbers, phone numbers, or fake vote tallies made up on election night.

This is something that is used in auditing with computer models to see if numbers are naturally occurring or if they’re possibly fabricated.

President Trump’s votes conform to Benford’s Law very well. Biden’s (in these swing cities) do not. The probability of Biden’s totals being this way due to chance is 1 in 10^23. This is enormous. That is one in one Septillion. (1 in 1,000,000,000,000,000,000,000,000). As in, essentially statistically impossible. This is only slightly more likely than winning the mega millions lottery 3 time in a row.

This video explains how the math works, but it is a little technical, so I’ll understand if you skip it and move down to the next video.

This video below demonstrates how Joe Biden’s voting numbers violate Benford’s Law while the votes from the rest of the candidates do not. It’s really obvious.

Benford’s Law was actually the mechanism that was used in 2009 to detect voter fraud in the Iranian presidential election.

Again, there is definitely fraud happening right before our eyes. The question is, what can we do about it? I think we just need to trust in the process. We have a very smart president and he and his team are going to do everything in their power to make this right.