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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.
Creating a false dilemma (either-or fallacy) in which the situation is oversimplified, also called false dichotomy; Selectively using facts (card stacking) Making false or misleading comparisons (false equivalence or false analogy) Generalizing quickly and sloppily (hasty generalization) (secundum quid)
This category is for inductive fallacies, or faulty generalizations, arguments that improperly move from specific instances to general rules. Pages in category "Inductive fallacies" The following 21 pages are in this category, out of 21 total.
Our liability to commit false dilemmas may be due to the tendency to simplify reality by ordering it through either-or-statements. [16] For fallacies of generalization, the false premise is due to an erroneous generalization. In the case of the fallacy of sweeping generalization, a general rule is applied incorrectly to an exceptional case. For ...
In logic and mathematics, proof by example (sometimes known as inappropriate generalization) is a logical fallacy whereby the validity of a statement is illustrated through one or more examples or cases—rather than a full-fledged proof. [1] [2] The structure, argument form and formal form of a proof by example generally proceeds as follows ...
West Point has not yet contacted Pete Hegseth after the school said an employee mistakenly said he had not applied and was not accepted, Hegseth told Fox News Digital.
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.