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Comment on How to generate uniformly random points on n-spheres and in n-ballsparent

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I used to think “normal distributions are everywhere” but the more math and science I watch on YouTube the more the central limit theorem pops up. It’s the CLT that’s everywhere, it just brings normal distribution as it’s +1.

Indeed. The fundamental insight behind CLT i.e. sample average is normally distributed even when population distribution is not normal is intuitive, yet the the theorem is magical.

When you have more than one variable, the outcomes get clumpy.

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