Hasty generalization: Difference between revisions
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* [http://www.nizkor.org/features/fallacies/hasty-generalization.html Fallacy: Hasty Generalization], Michael C. Labossiere's Fallacy Tutorial Pro |
* [http://www.nizkor.org/features/fallacies/hasty-generalization.html Fallacy: Hasty Generalization], Michael C. Labossiere's Fallacy Tutorial Pro |
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* [http://www.fallacyfiles.org/hastygen.html Hasty Generalization], The Fallacy Files |
* [http://www.fallacyfiles.org/hastygen.html Hasty Generalization], The Fallacy Files |
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* [https://logfall.wordpress.com/hasty-generalization/ Logfall | Hasty generalization]: Logical fallacies site addressing the ''hasty generalization'' fallacy with examples. |
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{{Informal Fallacy}} |
{{Informal Fallacy}} |
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Revision as of 10:29, 21 March 2015
Hasty generalization is an informal 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.[1] Its opposite fallacy is called slothful induction, or denying a reasonable conclusion of an inductive argument (e.g. "it was just a coincidence").
Examples
Hasty generalization usually shows this pattern
- X is true for A.
- X is true for B.
- X is true for C.
- X is true for D.
- Therefore, X is true for E, F, G, etc.
For example, if person travels through a town for the first time and sees 10 people, all of them children, he may erroneously conclude that there are no adult residents in the town.
Or: A person is looking at a number line. The number 1 is a square number; 3 is a prime number, 5 is a prime number, and 7 is a prime number; 9 is a square number; 11 is a prime number, and 13 is a prime number. Therefore, the person says, all odd numbers are either prime or square.
Alternative names
The fallacy is also known as:
- Illicit generalization
- Fallacy of insufficient sample
- Generalization from the particular
- Leaping to a conclusion
- Hasty induction
- Law of small numbers
- Unrepresentative sample
- Secundum quid
When referring to a generalization made from a single example it has been called the fallacy of the lonely fact[2] or the proof by example fallacy.[3]
When evidence is intentionally excluded to bias the result, it is sometimes termed the fallacy of exclusion and is a form of selection bias.[4]
See also
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References
- ^ "Fallacy: Hasty Generalization (Nizkor Project)". Retrieved 2008-10-01.
- ^ Fischer, David Hackett (1970). Historians' Fallacies: Toward a Logic of Historical Thought. HarperCollins. pp. 109–110. ISBN 978-0-06-131545-9.
- ^ Marchant, Jamie. "Logical Fallacies". Retrieved 2011-04-26.
- ^ "Unrepresentative Sample". Retrieved 2008-09-01.
External links
- Common Logical Fallacies in Propaganda and Debate
- Fallacy: Hasty Generalization, Michael C. Labossiere's Fallacy Tutorial Pro
- Hasty Generalization, The Fallacy Files
- Logfall | Hasty generalization: Logical fallacies site addressing the hasty generalization fallacy with examples.