  In this paper, we investigate the reasons that the Bayesian estimator of the
tail probability is always higher than the frequentist estimator. Sufficient
conditions for this phenomenon are established both by using Jensen's
Inequality and by looking at Taylor series approximations, both of which point
to the convexity of the distribution function.
