Standard deviation measures how spread out the values in a group of data are from the average—essentially telling you whether the numbers cluster tightly together or scatter widely. It matters because it helps you understand whether an average is truly representative of your data or whether there's a lot of variation hiding behind that single number.
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Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).