# Population Genetics **Domain:** Evolution / Mathematics / Genomics **Doc Type:** Canonical Discipline Node **Maturity:** Foundational ## Definition **Population genetics** studies how allele frequencies and genetic variation change under mutation, selection, drift, migration, recombination and population structure. ## Nexus Context The field turns evolution into a quantitative population process. [[articles/The Evolutionary Roots of Silicon Valley|The Evolutionary Roots of Silicon Valley]] links Berkeley molecular evolution with Stanford work by Luigi Luca Cavalli-Sforza and Marcus Feldman on human population history, cultural transmission and gene–culture interaction. Machine-learning analogies should remain bounded. Populations are not merely candidate solutions, fitness is not always a scalar objective and drift has no necessary engineering purpose. But population thinking contributes three vital ideas to machine systems: distributions rather than representative individuals, historical dependence and the difference between selection and chance. ## Continuity Context Population-level ancestry cannot settle individual identity. A reference genome or haplogroup locates someone inside distributions and lineages; it does not reconstruct their mind. ## Sources / Provenance - Daniel L. Hartl and Andrew G. Clark, _Principles of Population Genetics_. - Stanford Marcus Feldman profile: https://profiles.stanford.edu/marcus-feldman ## See Also [[wiki/Natural Selection|Natural Selection]], [[wiki/Haplogroup|Haplogroup]], [[wiki/Cultural Transmission|Cultural Transmission]], [[wiki/Population Modeling|Population Modeling]]