Fisher wrote:
"the theory of inverse probability is founded upon an error, and must be wholly rejected"
I wonder what was Fisher's reasoning and what error he means in particular.
The quote is from "Statistical methods for research workers" (Fisher 1925) but I don't have access to that book, and what I found from Fisher from that time uses terminology which I am not acquainted with (e.g. "inverse probability" referring to bayesian methods).