  I give formulas for the accuracy to which a selection function must be
measured via Monte-Carlo injections in order to have un-biased population
inference. The number of found injections scales linearly with the number of
objects in the population; the coefficient in front of the linear term depends
on both the distribution of injections and the inferred population
distribution.
