In contrast, Bayesian estimates are valid for any sample size. This does not mean that more data isn’t helpful—it certainly is. Rather, the estimates have a clear and valid interpretation, no matter the sample size. But the price for this power is dependency upon the initial estimates, the prior. If the prior is a bad one, then the resulting inference will be misleading. There’s no free lunch,42 when it comes to learning about the world. A Bayesian golem must choose an initial plausibility,
