Comment by cf

That framing actually stops holding for continuous distributions. Like in a distribution on heights of people there isn't a probability or prior associated with a particular height. Probabilities are assigned to subsets of this distribution (sometimes called sigma algebras). Priors stands for prior distribution and it really is best to see Bayesian analysis as a machine that consumes probability distributions as input and spits out probability distributions as output.