Hasty generalization

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:

See also faulty generalization for other fallacies involving generalization.

External links and references

See also: Hasty generalization, Faulty generalization, Generalization, Inductive reasoning, Leap year, Logical fallacy