  A large fraction of papers in the climate literature includes erroneous uses
of significance tests. A Bayesian analysis is presented to highlight the
meaning of significance tests and why typical misuse occurs. It is concluded
that a significance test very rarely provides useful quantitative information.
The significance statistic is not a quantitative measure of how confident we
can be of the 'reality' of a given result.
