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the claim

Mathematical formulas accurately describe the loss of unfixed genes from a population.

the verdict
SUPPORTED
the evidence backs this
Recorded sources
4 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that mathematical formulas accurately describe the loss of unfixed genes from a population?

Yes. Mathematical models in population genetics, such as diffusion approximations and mutation-selection-drift equations, successfully characterize the evolutionary dynamics and loss of alleles in populations.

Verdict: SUPPORTED · 4 sources for, 0 against · Last checked

The analysis

The claim is specific, empirical, and testable within population genetics. Multiple papers retrieved (such as papers 0, 1, 2, and 10) explicitly discuss and utilize mathematical formulas and models to describe the loss, fixation, and maintenance of genes and alleles in populations. There is no evidence refuting the core claim.

Evidence for · 4
Genetic drift and the loss of alleles versus heterozygosity
1986
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Allendorf, F. W. (1986). Genetic drift and the loss of alleles versus heterozygosity. doi.org. https://doi.org/10.1002/zoo.1430050212

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More for · 3
Interaction of selection and biased gene conversion in a multigene family.
1985
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JB, W. (1985). Interaction of selection and biased gene conversion in a multigene family.. doi.org. https://doi.org/10.1073/pnas.82.1.153

Mutation-selection-drift balance models of complex diseases.
2025
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JJ, B., X, L., K, R., LK, H., & G, S. (2025). Mutation-selection-drift balance models of complex diseases.. doi.org. https://doi.org/10.1093/genetics/iyaf220

Maintenance of polymorphism in spatially heterogeneous environments.
2026
Get citation
T, S. & S, Y. (2026). Maintenance of polymorphism in spatially heterogeneous environments.. doi.org. https://doi.org/10.1093/genetics/iyaf229

Receipt History
first checked04 Aug 2026
judged → SUPPORTED · 9304 Aug 2026
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