  This paper is concerned with the well known Jeffreys-Lindley paradox. In a
Bayesian set up, the so-called paradox arises when a point null hypothesis is
tested and an objective prior is sought for the alternative hypothesis. In
particular, the posterior for the null hypothesis tends to one when the
uncertainty, i.e. the variance, for the parameter value goes to infinity. We
argue that the appropriate way to deal with the paradox is to use simple
mathematics, and that any philosophical argument is to be regarded as
irrelevant.
