[Question] How do Bayesians tell what does and doesn’t count as evidence (which, e.g., hypotheses may render more or less probable if true)? Is it possible for something to fuzzily-be evidence?

“The basic idea underlying most uses of Bayes’ theorem is that a hypothesis is supported by any evidence which is rendered (either sufficiently or simply) probable by the truth of that hypothesis.”
— Bayesian Argumentation: The Practical Side of Probability