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by spacehome
3570 days ago
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The Central Limit Theorem needs the prerequisite that your distribution has a finite variance. It's not at all clear that this holds for the return of startup investments. In more practical terms, when the variance is very high or there are outsized impacts from small portions of your population, it can take arbitrarily many samples before your average starts to converge. So it's entirely possible that sampling 100 companies isn't enough. |
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