So there is a theory based on the renormalization group that can explain many (but not all) "fractal" phenomena that are observed.
I was part of the false paradigm of "bin up a probability distribution", "plot it up on log-log paper", and "draw a straight line."
Sometimes when you do that you will get an answer that has something to do with reality but it is not a valid answer to the problems of: "is a power law distribution a good model of this phenomenon", "what is a good estimate of the exponent", "are these two power law charts drawn from the same distribution" not to mention how to handle the problems that turn up at the highly frequent and highly rare ends of the distribution.
The root cause is this attitude
http://thinkexist.com/quotation/if_your_experiment_needs_sta...
and an academic system where power is too concentrated, where people who write review articles do the most good but get the least career advancement, etc.
> after he had tenure, that he published something about it in a statistics journal
If I'm reading you right, you're saying he struggled for awhile doing bogus things only to question those things outside the relevant field?
(Also, can you say more about power law papers..?)