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It's not a perfect fit, but it's unsettling to me how close the leading PIN digit graph corresponds to Benford's Law ( https://en.wikipedia.org/wiki/Benford%27s_law ). You would think intentional human randomness would not fit this distribution.

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The humans aren't being random. They're using numbers from sources in real life. A large fraction of the data points are years from the twentieth century as 19xx and a smaller fraction as 200x. MMDD or DDMM format dates also follow the Law in tending to lead with digits 0-3. Or consider the 2580 case or other patterns on the keypad, where the leading digit will skew towards the beginning of the digit-alphabet.

So Benford's Law will apply even on a data set that has no numerical meaning in itself, transitively from the real sources of the numbers.

The naming of Benford's Law has long bothered me. It feels to me like it should be Benford's Observation. Awesome catch, though! I love it.

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