If you have different beliefs than you'll have different probability distributions. There's nothing wrong with that. Subject to a few technical requirements (b

If you have different beliefs than you'll have different probability distributions. There's nothing wrong with that. Subject to a few technical requirements (basically absolute continuity of priors), it's a theorem in that your posteriors will eventually converge as more evidence is gathered. That's why I like frequentist statistics. It gives me a way to settle the answer outside of my own belief system. Can you explain this? To me this makes no sense - as a Bayesian I run simulations too.