... Because the test scores don't lie on a normal distribution. That's why "you shouldn't use a normal distribution." Traits important for survival aren't normally distributed...
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"estimates for causes of variation being seriously wrong" isn't vague though. Because if they don't fall on normal distribution, then many of the conclusions drawn from the results are wrong.
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Which conclusions and how wrong?
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X amount of people have Y IQ would be wrong if there is no normal curve, for instance.
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Nobody expects these estimates to be perfect
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Well they're horribly flawed as I've shown.
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Slightly off at the edges doesn't necessarily concern me that much
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It has implications for the whole so-called curve, not only at the edges. That was only an example.
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Wake me up when you have specific examples of things that aren't working
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