Texas sharpshooter fallacy

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The Texas sharpshooter fallacy is a logical fallacy where information that has no relationship is interpreted or manipulated until it appears to have meaning. The name comes from a story about a Texan who fires several shots at the side of a barn, then paints a target centered on the hits and claims to be a sharpshooter.

The fallacy does not apply if one had an ex ante expectation of the particular relationship in question before examining the data. For example one might, before examining the information, have in mind a specific physical mechanism implying the particular relationship. One could then use the information to give support or cast doubt on the presence of that mechanism. Alternatively, if additional information can be generated using the same process as the original information, one can use the original information to construct a hypothesis, and then test the hypothesis on the new data. See hypothesis testing. One cannot use the same information to construct and test the same hypothesis — to do so would be to commit the Texas sharpshooter fallacy.

The fallacy is related to the clustering illusion, which refers to the tendency in human cognition to interpret patterns in randomness where none actually exist.

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[edit] Example

  • Attempts to find cryptograms in the works of William Shakespeare, which tended to report results only for those passages of Shakespeare for which the proposed decoding algorithm produced an intelligible result. This is a fallacy, because somebody else selecting different passages would find a different pattern (or more likely, no pattern). A similar fallacy happened with cryptograms in the Bible.

[edit] Related logical fallacies

[edit] See also

Informal fallacies
v  d  e
Special pleading | Red herring | Gambler's fallacy and its inverse
Fallacy of distribution (Composition | Division) | Begging the question | Many questions
Correlative-based fallacies:
False dilemma (Perfect solution) | Denying the correlative | Suppressed correlative
Deductive fallacies:
Accident | Converse accident
Inductive fallacies:
Hasty generalization | Overwhelming exception | Biased sample
False analogy | Misleading vividness | Conjunction fallacy
Vagueness:
False precision | Slippery slope
Ambiguity:
Amphibology | Continuum fallacy | False attribution (Contextomy | Quoting out of context)
Equivocation (Loki's Wager | No true Scotsman)
Questionable cause:
Correlation does not imply causation | Post hoc | Regression fallacy
Texas sharpshooter | Circular cause and consequence | Wrong direction | Single cause
Other types of fallacy

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