... 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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"it needs to be stressed that if the bell-shaped curve is the myth it seems to be for these traits, then the model used in behavioral genetics is already suspect, the statistics are inappropriate, and estimates for causes of variation may be seriously wrong." Richardson 2017: 45
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That's rather vague
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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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