Bayes’ rule appears to be an easy, one-line theorem: by updating our initial beliefs with goal new information, we get a new and improved perception. To its adherents, it really is an elegant statement about learning from experience. To its competitors, it is subjectivity operate 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 finding by an amateur mathematician about The Theory That Would Not really Die: How Bayes’ Guideline Damaged the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Hundreds of years of Controversy in the 1740s through its advancement into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why reputed statisticians rendered it appropriately taboo for one hundred and fifty years-at once that practitioners relied on it to solve crises concerning great uncertainty and scanty information, even breaking Germany’s Enigma code during Globe War II, and points out how the advancement of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes’ rule is used almost everywhere from DNA decoding to Homeland Protection.Drawing on primary supply material and interviews with statisticians and other scientists, The Theory THAT COULD Not Die is the riveting account of what sort of seemingly simple theorem ignited one of the greatest controversies of all time.