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Take any messy, lopsided, weird distribution — dice rolls, incomes, anything. Draw a handful of samples, average them, and write that average down. Do it again and again. Something almost magical happens: the pile of averages forms a smooth bell curve, even though the original data looked nothing like one. This is the central limit theorem, and it's the reason the normal distribution rules statistics.