 As noted above, the phenomenon of drift is represented in mathematical models of population genetics. The standard mathematical model of drift found in textbooks is the Wright-Fisher model, the core of which is the binomial distribution, and it is the model that philosophers of biology typically appeal to. In the Wright-Fisher model—an idealized model, as all models are—there are assumed to be \(N\) diploid adults in a population, mating randomly, with an allele \(A\) that has a frequency of \(p_0\) and an alternate allele at the same locus. The model further assumes that adults produce an infinite number of gametes having the same allele frequency. \(2N\) gametes are drawn from the “gamete pool” at random to constitute the \(N\) diploid individuals of the next generation. (See Ishida and Rosales 2020 for important clarifications on the historical development of the Wright-Fisher model).