The Theory That Would Not Die

A New York Times Book Review Editors Choice: A vivid account of the generations-long dispute over Bayes rule, one of the greatest breakthroughs in the history of applied mathematics and statistics An intellectual romp touching on, among other topics, military ingenuity, the origins of modern epidemiology, and the theological foundation of modern mathematics.Michael Washburn, Boston Globe To have crafted a page-turner out of the history of statistics is an impressive feat. If only lectures at university had been this racy.David Robson, New Scientist Bayes rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok. In the first-ever account of Bayes rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 yearsat the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information (Alan Turings role in breaking Germanys Enigma code during World War II), and explains how the advent of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes rule is used everywhere from DNA de-coding to Homeland Security. Drawing on primary source material and interviews with statisticians and other scientists, The Theory That Would Not Die is the riveting account of how a seemingly simple theorem ignited one of the greatest controversies of all time.