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Neutral drift (neutral model)

A neutral model explains the distribution of popularity or frequency among competing variants as the result of proportional (random) sampling with no selection — no variant is intrinsically fitter, preferred, or better; concentration and turnover arise from drift alone. Its canonical form in population genetics is Kimura and Crow's 1964 neutral-allele frequency result; its lineage traces back to Sewall Wright's 1931 formalization of genetic drift. As a null model, its force is in what it removes: a lopsided, power-law popularity distribution does not by itself prove that anyone preferred anything.

In this vault the neutral model is a recurring, cross-domain object. It is the named ancestor Simkin and Roychowdhury credit for their citation-copying formula; the mechanism Hahn and Bentley apply to baby-name popularity; and the shared higher-order moral behind the three-domain lineage that rhymes with 2026 LLM citation dynamics. It is distinct from preferential attachment / the Matthew effect (which needs a compounding, history-dependent advantage) and from iterated learning (bottleneck filtering) — a second, separate cultural-evolution import into the vault's AI reading, not the same one.

References

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