 —but there are more realistic alternatives. John Gillespie’s model, for example, similarly assumes a diploid population of \(N\) members and a two-allele locus, with frequencies \(p\) and \(q = (1 - p)\); it also similarly assumes random mating. Where it differs from the Wright-Fisher model is that each of the \(2Np A\) gametes constitutes the next generation with a random number of offspring gametes. There is no restriction on the distribution of the numbers of offspring nor on the total number of offspring gametes. Thus, unlike the Wright-Fisher model, Gillespie’s model is not tied to binomial sampling, although sampling more generally is still being modeled. Millstein, Skipper, and Dietrich suggest that the philosophical significance of such alternative models (including others such as the Moran model, the Cannings model, or the coalescent) is that we need to be careful about drawing conclusions about drift from any one particular mathematical model, always keeping in mind Giere’s (1988) point that models are built as representations of specific aspects of physical systems.