People should become familiar with Benford's Law (http://infogalactic.com/info/Benford%27s_law). I use Infogalactic because Wikipedia is already rewriting their page to claim that it is controversial and in dispute by 'reputable scientists.'
From Infogalactic: "Benford's law, also called the first-digit law, is a phenomenological law about the frequency distribution of leading digits in many (but not all) real-life sets of numerical data. The law states that in many naturally occurring collections of numbers the small digits occur disproportionately often as leading significant digits.[1] For example, in sets which obey the law the number 1 would appear as the most significant digit about 30% of the time, while larger digits would occur in that position less frequently: 9 would appear less than 5% of the time. If all digits were distributed uniformly, they would each occur about 11.1% of the time.[2] Benford's law also concerns the expected distribution for digits beyond the first, which approach a uniform distribution."
Why is this important? According to Principia-Scientific (https://principia-scientific.com/joe-bidens-votes-violate-benfords-law-mathematics/), the voting totals for Joseph Biden violate Benford's Law. In other words, when votes accumulate from a natural process, there is a natural distribution of the digits of the numbers. When unnatural means are used (e.g., creating votes, ballot box stuffing), people tend to make round numbers of votes (remember 138,000 votes showing up for Biden in the middle of the night?). This results in an unnatural distribution curve. President Trump's and other candidates follow normal distribution curves, but not Biden--at least not in Atlanta, Detroit, Milwaukee, Philadelphia, and Las Vegas for certain. As Benford's Law has been accepted in previous court cases as proof of fraud, I expect it to feature prominently in the lawsuits fighting the massive voting fraud conducted by the Democrat Party.
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