Jan Moren

+

2

3

2

3

2

Whether it is Gaussian or a power distribution - or log-normal distribution - doesn't really matter, other than in the narrow technical sense that taking the arithmetic mean (rather than the median) is no longer the appropriate way to characterize the distribution.

If aspects are described well by a power law or log-normal distribution, then just use that distribution instead. This feels like a revelation in the same way that stating "not all picnics happen in sunny weather!".

If aspects are described well by a power law or log-normal distribution, then just use that distribution instead. This feels like a revelation in the same way that stating "not all picnics happen in sunny weather!".