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Hasty generalization, also known as "fallacy of insufficient statistics", "fallacy of insufficient sample", "fallacy of the lonely fact", "leaping to a conclusion", "hasty induction" or "secundum quid", is the logical fallacy of reaching an inductive generalization based on too little evidence. Examples:
See also faulty generalization for other fallacies involving generalization. External links and references
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