- #36
DarMM
Science Advisor
Gold Member
- 2,370
- 1,408
I think the analogy is fairly direct as the pure states of classical probability theory, the point masses, have exactly the property you mentioned, i.e. always having some observable that can determine if they are wrong. Even a large class of mixed states, i.e. mixed states whose support is not the entire sample space, have this propertystevendaryl said:Yes, in Bayesian probability, you can be proved objectively wrong if you give an assignment of 0 or 1 to some possibility. So in that sense, Bayesian probability has an objective element to it, which is what is possible and what is not. The exact numbers are subjective.