Also known as multiple testing problem, Multiple comparisons problem, multiple comparisons, multiplicity or multiple testing problem, Multiplicity of Tests
problem where one considers a set of inferences simultaneously based on the observed values
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多重比較謬誤（Multiple Comparisons Fallacy），是一種機率謬誤，係指廣泛比較二個不同群體的所有差異，從中找出具有差異的特徵，然後宣稱它就是造成二個群體不同的原因。
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Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).