Hasty generalization
From Wikipedia, the free encyclopedia.

Hasty generalization, also known as fallacy of insufficient statistics, fallacy of insufficient sample, fallacy of the lonely fact, leaping to a conclusion, hasty induction or secundum quid), is the logical fallacy of reaching an inductive generalization based on too little evidence.

Examples:

• "I loved the hit song, therefore I'll love the album it's on." (Fallacious because the album might have one good song and lots of filler.)
• "This Web site looks OK to me on my computer; therefore, it will look OK on your computer, too." (My screen size is smaller than yours, and I'm using a computer in a public library, so I can't adjust it!)
• "In my lifetime, there has been a leap year every fourth year; therefore, every fourth year, past, present, and future, is a leap year." (Not true; see leap year article.)
• "My dog is black. Therefore, all dogs must be black."

See also faulty generalization for other fallacies involving generalization.

External links and references

• Fallacy: Hasty Generalization, Michael C. Labossiere's Fallacy Tutorial Pro

The original article can be found at: http://en.wikipedia.org/wiki/Hasty_generalization.
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