The Wright-Fisher model is one of the simplest models of genetic drift in a population.
It assumes that:
the generations of a population do not overlap, so that we can view generation change
as discrete time steps (e.g., annual plants);
the population is diploid and has a finite constant size N that does not change between generations;
if $m$ alleles are present with proportion $p = \frac{m}{2N}$ in one generation, then each of the $2N$ chromosomes
in the next generation selects the allele with probability $p$.
