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I blogged about "Fisher's fundamental theorem of natural selection":
The first part just explains how much of a disaster Fisher's original papers were. The second part gives a clean statement and proof. But there are more general versions I want to talk about, if I can understand them.
Okay, today I explained a more general version of Fisher's fundamental theorem of natural selection - in terms of a concept from information theory, the "Fisher information metric" on the space of probability distributions:
It's cool that it's the same guy Fisher.