A look at some curious numbers - Benford's Law

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First put forth in 1881 but codified by Frank Benford in 1938. From InfoGalactic:

Benford's law
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. 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. Benford's law also concerns the expected distribution for digits beyond the first, which approach a uniform distribution.

It has been shown that this result applies to a wide variety of data sets, including electricity bills, street addresses, stock prices, population numbers, death rates, lengths of rivers, physical and mathematical constants, and processes described by power laws (which are very common in nature). It tends to be most accurate when values are distributed across multiple orders of magnitude.

Some of the vote counts came out just fine.  Chicago is an example of one that did not:

20201108-benford01.jpg

All of the candidates showed a normal distribution except for the Biden/Harris ticket. Those numbers fail analysis. The same holds true for all of the other contested votes. They are trying to steal this election and not doing a very good job of it. It would have been a very simple matter to make sure that the fake votes agreed with Benford's Law. These are the people who think that they are smart enough to be our leaders.

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This page contains a single entry by DaveH published on November 8, 2020 2:06 PM.

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