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    Small samples are subject to greater statistical variance. — Carmelics
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    Supports→Small indiscriminate samples may produce frequencies that differ substantially from the source population's frequencies.

    Small samples are subject to greater statistical variance.

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    Indiscriminate sampling does not correct for underrepresentation of any variant.Small indiscriminate samples may produce frequencies that differ substantially f...

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    Fitting an estimator perfectly to one sample produces an estimator hig...81%Indiscriminate sampling does not correct for underrepresentation of an...77%Small-sample correlations are amplified beyond their true population v...76%Magnitude estimation can produce spurious variance76%

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    SEP: genetic-drift
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    A better illustration of drift has its origins in Theodosius Dobzhansky’s (1937) discussion of Dubinin and Romaschoff’s (1932) model, which asks us to imagine an urn filled with different colored balls. If the balls are drawn from the urn without respect to color, e.g., by a person drawing balls while blindfolded, then the balls are being indiscriminately sampled (unlike discriminate sampling, where someone deliberately tries to pick balls of a certain color). If a large sample of balls is taken

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