I was not aware of this, but r/dataisbeautiful tells me it is relied on as a method of determining data manipulation in accounting, finance, and elections.

So let's apply it to some swing states, shall we?

(1) Image
Paraphrace WSJ, Benford's Law expects 30% of numbers in a list of transactions to begin with 1, with a steady dropping off with each additional integer.

Here, you can see how Enron's fraudulent numbers were exposed in the deviations from what could be legitimately expected.

(2) Image
This can also be applied to Election Returns.

For example, here is a rigged election in Iran.

The black bars represent the "Expected" slope, the grey bars the actual. Differences between them represent potential fraud. The bigger the difference, the greater fraud.

(3) Image
Here is a comparison between Biden's Numbers and Trumps.

Again, the Orange Bars represent the natural, Benford's Law complaint, slope.

Look how much closer the Trump numbers are than Biden's.

(4) Image
This is the most important image.

Trump's Graphs on top, Biden's on bottom.

Philadelphia, Milwaukee, and Detroit all show wild fluctuations for Biden, while Trump is more or less right-on.

(5) Image
Here are the Chicago graphs for all candidates.

They all more-or-less conform to Benford... except Biden.

(5) Image
... That last post should have been (6)


PS sorry for the typos.


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