The Central Limit Theorem isn’t a spell… it’s a deal. If observations are roughly independent and from the same process, the distribution of the sample mean drifts toward normal as n grows. Break the deal (copy-paste data, time-series dependence, duplicated records) and your “bell” learns to lie. Audit independence first, celebrate normality second.
