Extreme records in athletics are increasingly questioned as being due
to the use of performance enhancing drugs. To assess such performances
, statistical methods are developed that are based on extreme value te
chniques for estimating the ultimate performance possible by the curre
nt population of competing athletes. These methods are applied to the
analysis of data from the women's 3000 m track event, where we find th
at a recently broken record shows signs of being inconsistent with pre
vious performances.