3 Visual Proofs of the Central Limit Theorem

The central limit theorem states that averages of enough samples approach a normal distribution regardless of the original data's shape. Three visual proofs demonstrate this: five dice averages form a bell curve, bimodal screen-time averages normalize, and skewed income averages become symmetric.