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Why does Naive Bayes work so well despite an assumption that is almost always false?

The 'naive' independence assumption is wrong on real data, yet the classifier is a strong baseline for text. The interesting answer explains why classification survives a broken assumption, plus smoothing and the variants. Here it is.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

The 'naive' independence assumption is wrong on real data, yet the classifier is a strong baseline for text. The interesting answer explains why classification survives a broken assumption, plus smoothing and the variants. Here it is.

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