HSEM2529H

Sherlock Holmes, in solving his cases, is relying on a pattern of reasoning known as Inference to the Best Explanation (acronym: IBE). Holmes’s explanation of how some crime was committed tends to be so convincing that it counts as evidence that it was actually committed that way. Although our use of it is seldom as clever as Holmes’s, we rely on IBE all the time in everyday life. So do scientists. In science, however, IBE tends to be less reliable. That a theory explains a range of phenomena does not make that theory true. In other words, we cannot simply take a theory’s explanatory power as evidence for it. Yet, scientists tend to put great emphasis on their theories’ explanatory power if they want to convince others of it. Which raises the question: What exactly is the relation between explanation and evidence in science? In this seminar, we will examine this relation, using examples from everyday life, crime fiction and the history of science (involving such luminaries as Copernicus, Newton, Darwin and Einstein). To improve our understanding of IBE we will contrast it with a probabilistic account of evaluating evidence known as Bayesianism.

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