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Statistical syllogism

A statistical syllogism (or proportional syllogism or direct inference) is a non-deductive syllogism. It argues, using inductive reasoning, from a generalization true for the most part to a particular case. A statistical syllogism (or proportional syllogism or direct inference) is a non-deductive syllogism. It argues, using inductive reasoning, from a generalization true for the most part to a particular case. Statistical syllogisms may use qualifying words like 'most', 'frequently', 'almost never', 'rarely', etc., or may have a statistical generalization as one or both of their premises. For example: Premise 1 (the major premise) is a generalization, and the argument attempts to draw a conclusion from that generalization. In contrast to a deductive syllogism, the premises logically support or confirm the conclusion rather than strictly implying it: it is possible for the premises to be true and the conclusion false, but it is not likely. General form:

[ "Disjunctive syllogism", "Hypothetical syllogism", "Fallacy of four terms" ]
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