Synopses & Reviews
Review
"If you're not thinking like a Bayesian, perhaps you should be."—John Allen Paulos, New York Times Book Review John Allen Paulos
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 New York Times Book Review
Review
“[An] engrossing study….Her book is a compelling and entertaining fusion of history, theory and biography.”—Ian Critchley, Sunday Times Michael Washburn - Boston Globe
Review
“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 The Sunday Times
Review
“The Theory That Would Not Die is the first popular science book to document the rocky story of Bayess 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 Andrew Robinson - Nature
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 David Robson - New Scientist
Review
"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
Dennis Lindley
Review
“Well known in statistical circles, Bayess 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 James Berger
Review
“Compelling, fast-paced reading full of lively characters and anecdotes. . . .A great story.” —Robert E. Kass, Carnegie Mellon University
Andrew I. Dale
Review
"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 Robert E. Kass
Review
"A very compelling documented account. . .very interesting reading."—Jose Bernardo, Valencia List Blog Significance Magazine
Review
"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 Jose Bernardo - Valencia List Blog
Review
"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 Michael Wasburn - Boston Globe
Review
"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 New Scientist
Review
“This account of how a once reviled theory, Bayes rule, came to underpin modern life is both approachable and engrossing.”—The Sunday Times New Scientist
Review
Editor's Choice, New York Times Book Review Andrew Robinson - Nature Vol. 475
Review
"A lively, engaging historical account...McGrayne describes actuarial, business, and military uses of the Bayesian approach, including its application to settle the disputed authorship of 12 of the Federalist Papers, and its use to connect cigarette smoking and lung cancer...All of this is accomplished through compelling, fast-moving prose...The reader cannot help but enjoy learning about some of the more gossipy episodes and outsized personalities."—Choice New York Times Book Review
Review
“McGrayne is such a good writer that she makes this obscure battle gripping for the general reader.”—Engineering and Technology Magazine Choice
Review
“…..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 Engineering and Technology Magazine
Review
"McGrayne explains [it] beautifully...Top holiday reading."—The Australian Christine Evans-Pughe - Engineering and Technology Magazine
Review
"Engaging....Readers will be amazed at the impact that Bayes' rule has had in diverse fields, as well as by its rejection by too many statisticians....I was brought up, statistically speaking, as what is called a frequentist...But reading McGrayne's book has made me determined to try, once again, to master the intricacies of Bayesian statisics. I am confident that other readers will feel the same."—The Lancet The Australian
Review
"Thorough research of the subject matter coupled with flowing prose, an impressive set of interviews with Bayesian statisticians, and an extremely engaging style in telling the personal stories of the few nonconformist heroes of the Bayesian school."—Sam Behseta, Chance The Lancet
Review
"A fascinating and engaging tale."—Mathematical Association of America Reviews Sam Behseta - Chance
Review
"For the student who is being exposed to Bayesian statistics for the first time, McGrayne's book provides a wealth of illustrations to whet his or her appetite for more. It will broaden and deepen the field of reference of the more expert statistician, and the general reader will find an understandable, well-written, and fascinating account of a scientific field of great importance today."—Andrew I. Dale, Notices of the American Mathematical Society Mathematical Association of America Reviews
Review
"A very engaging book that statisticians, probabilists, and history buffs in the mathematical sciences should enjoy."—David Agard, CryptologIA Andrew I. Dale - Notices of the American Mathematical Society
Review
“Fascinating….I truly admire [McGraynes] 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 David Agard - CryptologIA
Review
"Delightful ... [and] McGrayne gives a superb synopsis of the fundamental development of probability and statistics by Laplace."—Scott L. Zeger of Johns Hopkins, Physics Today Judea Pearl
Review
"McGrayne holds the hand of the general reader as she lays out the history of the theorem and how it is now used in just about every walk of life… Science writing at its absolute peak."—The Bookseller Physics Today - Scott L. Zeger
Synopsis
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.
About the Author
Sharon Bertsch McGrayne is the author of numerous books, including Nobel Prize Women in Science: Their Lives, Struggles, and Momentous Discoveries and Prometheans in the Lab: Chemistry and the Making of the Modern World. She lives in Seattle.