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Oscar_Cunningham comments on Bayes' rule =/= Bayesian inference - Less Wrong
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I don't understand how you can hold a position like that and still enjoy the post. How do you parse the phrase "my prior for the probability of heads" in the second example?
I hadn't seen that, but you're right that that sentence is wrong. "Probability" should have been replaced with "frequency" or something. A prior on a probability would be a set of probabilities of probabilities, and would soon lead to infinite regress.
only if you keep specifying hyper-priors, which there is no reason to do
Exactly. There's no point in the first meta-prior either.