For a given statistical model P it may happen that the order statistic
is complete for each IID model based on P. After reviewing known rele
vant results for large nonparametric models and pointing out generaliz
ations to small nonparametric models, we essentially prove that this h
appens generically even in smooth parametric models. As a consequence
it may be argued that any statistic depending symmetrically on the obs
ervations can be regarded as an optimal unbiased estimator of its expe
ctation. In particular, the sample mean (X) over bar(n) is generically
an optimal unbiased estimator, but, as it turns out, also generically
asymptotically inefficient.