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4.8: Inference to the Best Explanation

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    306940
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    There are further varieties of argument that aim at the standard of inductive strength, but we will discuss just one more in detail now: Inference to the best explanation. Detective work provides a good example of inference to the best explanation. When Holmes discovers Moriarty’s favorite brand of cigar and a bullet of the sort fired by Moriarty’s gun at a murder scene, inference to the best explanation suggests that Moriarty was the killer. That Moriarty committed the murder provides the overall best explanation of the various facts of the case.

    The 19th century American pragmatist and logician, Charles Sanders Peirce offers the Surprise Principle as a method for evaluating inference to the best explanation. According to the surprise principle, we should count one explanation as better than competing explanations if it would render the facts we are trying to explain less surprising than competing explanations. The various clues in the murder case are among the facts we want explained. The presence of the cigar and the bullet casing at the murder scene is much less surprising if Moriarty committed the murder than if the maid did it. Inference to the best explanation aims at inductive strength. So, a strong inference to the best explanation needn’t rule out the possibility that the murder was committed by Moriarty’s evil twin who convincingly frames his brother. There might an argument against the death penalty lurking nearby. Inference to the best explanation is worth more attention than if often receives. This kind of reasoning is pervasive in philosophy and science, but it seldom gets much notice as an integral part of the methods of rational inquiry.


    This page titled 4.8: Inference to the Best Explanation is shared under a CC BY-NC 4.0 license and was authored, remixed, and/or curated by W. Russ Payne.

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