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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Falsifying the Kimura Fixation Model: The Ne Equivocation and the Empirical Failure of Neutral Theory

Authors: Day, Vox; Athos, Claude;

Falsifying the Kimura Fixation Model: The Ne Equivocation and the Empirical Failure of Neutral Theory

Abstract

Kimura's neutral theory of molecular evolution rests on two foundational results: the substitution rate k = μ and the equilibrium diversity π = 4Neμ. Both formulas employ effective population size (Ne), but we demonstrate that Ne cannot represent the same biological quantity in both contexts. The substitution rate derivation requires Ne to govern both mutation supply and fixation probability; however, mutations arise from the census population while fixation probability depends on drift dynamics. Using empirical data from three mammalian species (chimpanzees, gorillas, and killer whales), we show that census populations exceed diversity-derived Ne by 19- to 46-fold. This systematic discrepancy reveals that Ne functions as a post-hoc fitting parameter rather than an independent measurement. We further demonstrate that explaining these Ne reductions requires invoking pervasive selection. Combined with empirical falsification from ancient DNA time series (Bio-Cycle model reduces Kimura prediction error by 69%), we conclude that the Kimura model is degenerately parameterized and does not describe the evolutionary dynamics of sexually reproducing organisms with overlapping generations.

Keywords

effective population size, neutral theory, molecular evolution, genetic drift, nucleotide diversity, Kimura model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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