Texas sharpshooter fallacy

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Texas Sharpshooter Fallacy

The Texas Sharpshooter Fallacy is a logical fallacy that occurs when differences in data are ignored, but similarities are stressed. From this perspective, a person may be misled into believing that a pattern exists when, in fact, none does. This fallacy is named after a hypothetical scenario involving a sharpshooter who shoots bullets at the side of a barn, then paints a target around the closest cluster of bullet holes, thus giving the false impression of accuracy.

Overview[edit | edit source]

The Texas Sharpshooter Fallacy is a type of Fallacy of Selective Attention, which highlights how individuals may focus on outcomes that support a pre-existing belief or hypothesis, while ignoring outcomes that contradict it. This fallacy is particularly relevant in the fields of Statistics, Probability Theory, and Research Methodology, where data interpretation is critical. It serves as a cautionary tale for researchers to avoid drawing conclusions based solely on the clustering illusion, a cognitive bias that leads humans to find patterns in random data.

Examples[edit | edit source]

In Epidemiology, this fallacy might manifest when a researcher notices a high incidence of cancer in a particular geographic area and prematurely concludes that a local environmental factor is the cause, without considering other possible explanations or the overall distribution of cancer rates. Similarly, in the financial world, an investor might focus on a few successful stock picks and believe they have a special talent for stock picking, ignoring the investments that did not pan out.

Prevention[edit | edit source]

To avoid the Texas Sharpshooter Fallacy, it is essential to:

  • Establish hypotheses before examining the data.
  • Use proper statistical tests to determine if observed patterns are indeed significant.
  • Consider all possible data, not just that which supports a preferred conclusion.
  • Be aware of the Confirmation Bias, which is the tendency to search for, interpret, favor, and recall information in a way that confirms one's preconceived beliefs or hypotheses.

See also[edit | edit source]

References[edit | edit source]


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Contributors: Prab R. Tumpati, MD