  We consider the variance of a function of $n$ independent random variables
and provide new inequalities which, in particular, extend previous results
obtained for symmetric functions in the i.i.d.~setting. For instance, we obtain
various upper and lower variance bounds based on iterated jackknives statistics
that can be considered as generalizations of the Efron-Stein inequality.
