Why doesn everyone use Bayesian statistics, since theres always prior beliefs?
Good question! Many statisticians in the world would argue that all analyses should be Bayesian. Others worry that it is impossible to form reasonable prior distributions, so that it is too risky to use Bayesian statistics (see Question 2 above). When you use a prior distribution that doesn’t reflect reality, you could get inferences that also do not reflect reality.
