Re-inventing Willis — mentioned by abetusk

Fri, 21 Jul 2017 01:16:22 GMT

As others have pointed out, power laws are more "normal" than the normal distribution. The reason for this is that if you have the sum independent identically distributed (I.I.D.) random variables (R.V.s), if they converge to a distribution, that distribution is Levy Stable [1], which is power law in it's tails. The Gaussian is a special case in the family of Levy Stable distributions. The article states that "the sum of many independent, additive effects is approximately normally distributed" which is patently false. The sum of many independent random variables with finite variance is…

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Re-inventing Willis · HackerPapers discussions

Re-inventing Willis — mentioned by abetusk