Mathematics
Central Limit Theorem
Quick fact
The Central Limit Theorem works even if the original data is skewed, bimodal, or completely non-normal; the sample means become normally distributed with enough observations.
Why this is interesting
Imagine rolling a die: the outcomes are uniformly random, each number equally likely. But what happens when you roll it 30 times and average the results? Do that many times, and something surprising emerges.