The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy - Tapa blanda

"If you're not thinking like a Bayesian, perhaps you should be."-John Allen Paulos, New York Times Book Review "A masterfully researched tale of human struggle and accomplishment . . . Renders perplexing mathematical debates digestible and vivid for even the most lay of audiences."-Michael Washburn, Boston Globe "[An] engrossing study. . . . Her book is a compelling and entertaining fusion of history, theory and biography."-Ian Critchley, Sunday Times "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 "This account of how a once reviled theory, Baye's rule, came to underpin modern life is both approachable and engrossing."-Sunday Times "Makes the theory come alive . . . enjoyable . . . densely packed and engaging . . . very accessible . . . an admirable job of giving a voice to the scores of famous and non-famous people and data who contributed, for good or for worse."-Significance Magazine "A very compelling documented account . . . very interesting reading."-Jose Bernardo, Valencia List Blog "McGrayne explains [it] beautifully. . . . Top holiday reading."-The Australian "The Theory That Would Not Die is a rollicking tale of the triumph of a powerful mathematical tool."-Andrew Robinson, Nature "The Theory That Would Not Die is the first popular science book to document the rocky story of Bayes's rule. At times, her tale has everything you would expect of a modern-day thriller. . . . 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 "McGrayne's The Theory That Would Not Die is the first popular science book to document the rocky story of Bayes's rule. . . . Her tale has everything you would expect of a modern-day thriller. Espionage, nuclear warfare and cold war paranoia all feature as she tracks the theory's crucial role in Alan Turing's code-breaking during the second world war, and the US navy's later use of the technique to track Soviet submarines."-New Scientist "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."-New Scientist "The Theory That Would Not Die is an impressively researched, rollicking tale of the triumph of a powerful mathematical tool."-Andrew Robinson, Nature Vol. 475 "McGrayne is such a good writer that she makes this obscure battle gripping for the general reader."-Engineering and Technology Magazine ". . . scientists and statisticians have fought over a deep philosophical divide about probability, which Sharon Bertsch McGrayne explores with great clarity and wit."-Christine Evans-Pughe, Engineering and Technology Magazine Editor's Choice, New York Times Book Review "We now know how to think rationally about our uncertain world. This book describes in vivid prose, accessible to the lay person, the development of Bayes' rule over more than two hundred years from an idea to its widespread acceptance in practice."-Dennis Lindley, University College London "A book simply highlighting the astonishing 200 year controversy over Bayesian analysis would have been highly welcome. This book does so much more, however, uncovering the almost secret role of Bayesian analysis in a stunning series of the most important developments of the twentieth century. What a revelation and what a delightful read!"-James Berger, Arts & Sciences Professor of Statistics, Duke University, and member, National Academy of Sciences "Well known in statistical circles, Bayes's Theorem was first given in a posthumous paper by the English clergyman Thomas Bayes in the mid-eighteenth century. McGrayne provides a fascinating account of the modern use of this result in matters as diverse as cryptography, assurance, the investigation of the connection between smoking and cancer, RAND, the identification of the author of certain papers in The Federalist, election forecasting and the search for a missing H-bomb. The general reader will enjoy her easy style and the way in which she has successfully illustrated the use of a result of prime importance in scientific work."-Andrew I. Dale, author of A History of Inverse Probability From Thomas Bayes to Karl Pearson and Most Honorable Remembrance: The Life and Work of Thomas Bayes "Compelling, fast-paced reading full of lively characters and anecdotes . . . A great story."-Robert E. Kass, Carnegie Mellon University "Fascinating . . . I truly admire [McGrayne's] style of writing, and . . . ability to turn complex mathematical ideas into intriguing stories, centered around real people."-Judea Pearl, winner of the 2012 Turing Award

A vivid account of the generations-long dispute over one of the greatest breakthroughs in the history of applied mathematics and statistics 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 years-at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information (Alan Turing's role in breaking Germany's 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.