A common problem in climatology is detecting a change in the frequency or m
agnitude of extreme events in an historical time series. This paper compare
s the performance of two general approaches to this problem in a simple sit
uation. The first approach is based on modelling the entire distribution, w
hile the second approach focuses on the tail of the distribution. Although
the second approach has clear advantages, the results of this paper suggest
that it can also involve a substantial loss of information.