This paper describes a logical inconsistency that arises when expressing uncertainty about a constant using a continuous probability distribution, as in a typical Bayesian statistical analysis. When the distribution is updated by correct combination with a distribution obtained from new information, the result is not invariant to an arbitrary non-linear transformation. The conclusion to be drawn is that the theory of probability is not always capable of describing epistemic uncertainty.