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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 ...
Naturalistic fallacy fallacy is a type of argument from fallacy. Straw man fallacy – refuting an argument different from the one actually under discussion, while not recognizing or acknowledging the distinction. [110] Texas sharpshooter fallacy – improperly asserting a cause to explain a cluster of data. [111]
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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)
A few of the fallacies are explicitly or potentially statistical including sampling, statistical nonsense, statistical probability, false extrapolation, false interpolation and insidious generalization. All of the technical/mathematical problems of applied probability would fit in the single listed fallacy of statistical probability.
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 ...
A false dilemma is an informal fallacy based on a premise that erroneously limits what options are available. [1] [2] [3] In its most simple form, called the fallacy of bifurcation, all but two alternatives are excluded. A fallacy is an argument, i.e. a series of premises together with a conclusion, that is unsound, i.e. not
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.