Hasty generalization is a logical fallacy of faulty generalization by reaching an inductive generalization based on insufficient evidence — essentially making a hasty conclusion without considering all of the variables. In statistics, it may involve basing broad conclusions regarding the statistics of a survey from a small sample group that fails to sufficiently represent an entire population. Its opposite fallacy is called slothful induction, or denying the logical conclusion of an inductive argument (i.e. "it was just a coincidence").
http://en.wikipedia.org/wiki/Fallacy_of_hasty_generalization
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