Central Limit Theorem

A fundamental statistical principle stating that when you average many samples, the results will follow a normal (bell curve) distribution, regardless of the original data's shape. It's like magic - even if your original data is messy and skewed, take enough samples and their averages will be beautifully normal. This theorem is why many statistical methods work and why polling can predict election outcomes.