confuses probability distributions and their unknown parameters. He denotes both by the symbol p. So the usefulness of this exposition for a non-expert is perhaps limited.

Bayesians typically assume that complete ignorance implies that all values of an unknown parameter are equally likely, ie a uniform distribution is appropriate. But one could just as readily assume that complete ignorance implies that all probability distributions of the unknown parameter are equally likely, a very different assumption. It seems odd to privilege just one, specific distribution when in a state of complete ignorance.

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