informal fallacy of faulty generalization by reaching an inductive generalization based on insufficient evidence—essentially making a rushed conclusion without considering all of the variables From Wikipedia, the free encyclopedia
Hasty generalization is an informal fallacy of generalisation by making decisions based on too little evidence or without recognizing all of the variables. In statistics, it may mean basing broad conclusions of a survey from a small sample group.[1]
A hasty generalization made from a single example is sometimes 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".[4]
Hasty generalization may follow this pattern
Seamless Wikipedia browsing. On steroids.
Every time you click a link to Wikipedia, Wiktionary or Wikiquote in your browser's search results, it will show the modern Wikiwand interface.
Wikiwand extension is a five stars, simple, with minimum permission required to keep your browsing private, safe and transparent.