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Texas sharpshooter fallacy
Texas sharpshooter fallacy






texas sharpshooter fallacy

He will cause great men to be dragged in a cage of iron, When the son of Germany obeys no law.’” He said ‘Beasts wild with hunger will cross the rivers, The greater part of the battle will be against Hister. He must have been able to see the future because his predictions came true.” Michelle: “I was reading through the predictions of Nostradamus. Rich: “The housing around the mill is for retired senior citizens!”

texas sharpshooter fallacy

As you can see, it shows a significant clustering of cases near the paper mill.” Do you have any data that is more precise?” Rich: “Hmm, this data shows that the number of cases of cancer in Old Town is greater than the national average.”Īlice: “Interesting. For example, a person who wants to reject a causal claim might wrongly insist that the clustering must be the result of this fallacy. It is also important to not fall for applying the fallacy incorrectly. If you are unsure, the rational thing to do is suspend judgment. The problem is that the evidence offered fails to support it.ĭefense: To avoid being taken in by this fallacy, the defense is to consider whether adequate evidence is offered for the data based causal claim or if the only evidence is the clustering. As with any fallacy of reasoning, the conclusion could be true. For example, a person trying to prove that something causes a disease might examine data until they find the clustering that appears to “prove” their claim. It can also be used intentionally in bad faith, to try to prove a claim.

Texas sharpshooter fallacy how to#

This fallacy can be committed in good faith, out of ignorance of how to engage in good causal reasoning. Since Texas sharpshooter is specifically a causal fallacy, it can be distinguished from the more general fallacy of Incomplete Evidence in this way. As such, this fallacy can also be seen like Incomplete Evidence in that when a person “draws the target” what is outside the target is conveniently ignored. This creates the illusion that he is a good shot, just as focusing on clusters and ignoring the rest of the data can create the impression of a causal connection. He then paints a target around the biggest cluster of bullet holes and claims to be a sharpshooter. The fallacy’s name is derived from a joke about a person (usually a Texan) who shoots away at the broad side of a barn. However, Texas Sharpshooter has a history of its own that warrants its inclusion under its own name. Given the role that correlation (in this case, clustering) plays, this fallacy could be considered a variation of the Cum Hoc Ergo Propter Hoc fallacy.

texas sharpshooter fallacy

However, this correlation does not establish causation. Another ignored alternative is that the cluster might be the result of a cause, but not the claimed cause.Ī cluster can provide grounds for considering a causal hypothesis that can then be properly tested. One ignored alternative is that the cluster might be the result of chance. This causal fallacy occurs because the conclusion is drawn without properly considering alternatives. Premise 1: A cluster L occurs in data set D around C.Ĭonclusion: Therefore, C is the cause of L. This fallacy occurs when it is concluded that a cluster in a set of data must be the result of a cause (typically whatever the cluster is clustered around).








Texas sharpshooter fallacy