Shouldn't there be some accounting of the standard deviation of your estimate of your priors? If I have a prior that I've reached by amounting ten bits of evidence, that is quite different from a prior that I've reached by amounting one bit of evidence. I don't see how a traditionally Bayesian approach takes this into account.

Check out Metauncertainty. The post Joys of Conjugate Priors gives a specific example.