Problem is there is no real guarantee that distributions are "normal", and I find that generally they are not. So basically that whole book is a logical fallacy
Problem is there is no real guarantee that distributions are "normal", and I find that generally they are not. So basically that whole book is a logical fallacy
There isn't one gene for intelligence. There are probably thousands of genes that affect how smart you are. When you add together a bunch of small variables, you end up with a normal distribution. This is true even if the things added together are not-normally distributed at all.
There isn't one gene for intelligence. There are probably thousands of genes that affect how smart you are. When you add together a bunch of small variables, you end up with a normal distribution. This is true even if the things added together are not-normally distributed at all.
https://en.wikipedia.org/wiki/Central_limit_theorem
Cute THEORY, but it doesn't match the data.
Plus the math behind clt relies on randomness, Independence, and some other assumptions that highlight it may not be applicable to reality
Cute THEORY, but it doesn't match the data.
Plus the math behind clt relies on randomness, Independence, and some other assumptions that highlight it may not be applicable to reality
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