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Hasty generalization is the fallacy of examining just one or very few examples or studying a single case and generalizing that to be representative of the whole class of objects or phenomena. The opposite, slothful induction , is the fallacy of denying the logical conclusion of an inductive argument, dismissing an effect as "just a coincidence ...
Hasty generalization (fallacy of insufficient statistics, fallacy of insufficient sample, fallacy of the lonely fact, hasty induction, secundum quid, converse accident, jumping to conclusions) – basing a broad conclusion on a small or unrepresentative sample. [55]
Hasty generalization often follows a pattern such as: X is true for A. X is true for B. Therefore, X is true for C, D, etc. While never a valid logical deduction, if such an inference can be made on statistical grounds, it may nonetheless be convincing. This is because with enough empirical evidence, the generalization is no longer a hasty one.
The country is awash in hundreds, if not thousands, of election analyses, but many of the tools being employed are laden with problems and pitfalls and much of the data is subject to multiple ...
They point out the similarity of the selection form to the fallacy of hasty generalization, in which the refutation of an opposing position that is weaker than the opponent's is claimed as a refutation of all opposing arguments. Because they have found significantly increased use of the selection form in modern political argumentation, they ...
OPINION: IU grad worker with a teaching side gig writes he used Whitten's response to faculty no confidence vote to teach a difficult subject.
2. Thou shall not misrepresent or exaggerate a person's argument in order to make it easier to attack. ("Straw Man Fallacy) 3. Thou shall not use small numbers to represent the whole. ("Hasty Generalization") 4. Thou shall not argue thy position by assuming one of its premises is true. ("Begging the Question") 5.
The fallacy can take many forms, such as cherry picking, hasty generalization, proof by assertion, and so on. [ 1 ] The fallacy does not mean that every single instance of sense data or testimony must be considered a fallacy, only that anecdotal evidence, when improperly used in logic, results in a fallacy.