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A faulty generalization is an informal fallacy wherein a conclusion is drawn about all or many instances of a phenomenon on the basis of one or a few instances of that phenomenon. It is similar to a proof by example in mathematics. [1] It is an example of jumping to conclusions. [2]
Faulty generalization – reaching a conclusion from weak premises. Accident – an exception to a generalization is ignored. [50] No true Scotsman (aka appeal to purity) – makes a generalization true by changing the generalization to exclude a counterexample. [51]
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.
A special subclass of the informal fallacies is the set of faulty generalizations, also known as inductive fallacies. Here, the most important issue concerns inductive strength or methodology (for example, statistical inference). In the absence of sufficient evidence, drawing conclusions based on induction is unwarranted and fallacious.
For example, "[e]veryone has a right to his or her property. Therefore, even though Jones had been declared insane, you had no right to take his weapon away." [16]: 147 The generalization, in this case, ignores that insanity is an exceptional case to which the general rights of property do not unrestrictedly apply.
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 ...
An argument from anecdote is an informal logical fallacy, when an anecdote is used to draw an improper logical conclusion.The fallacy can take many forms, such as cherry picking, hasty generalization, proof by assertion, and so on.
An overwhelming exception is an informal fallacy of generalization. It is a generalization that is accurate, but comes with one or more qualifications which eliminate so many cases that what remains is much less impressive than the initial statement might have led one to believe.