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 one hundred and fifty years—at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information, even 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 decoding 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.
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"P(H|E)=P(H)P(E|H)/P(E). This formula only makes it to the appendix, but stands at the center of the book. This simple formula had the power, to those who dared wield it, to win wars -- but at the cost of admitting human subjectivity. Such is the story of Bayes' law, a story full of quirky geniuses, academic politics and government cover-ups. The book is made accessible to the layman -- it is not about the math, it is about the politics around it."
— Moshe (4 out of 5 stars)
“If you are not thinking like a Bayesian, perhaps you should be.”
— New York Times Book ReviewIf you are not thinking like a Bayesian, perhaps you should be.
— New York Times Book Review“A rollicking tale of the triumph of a powerful mathematical tool…Impressively researched.”
— Nature“A statistical thriller…McGrayne’s tale has everything you would expect of a modern-day thriller.”
— New Scientist“Merlington delivers [this story] with energy and enthusiasm.”
— AudioFile“This book succeeds gloriously, by never losing sight of the story, and it’s a wonderful story, one that desperately deserved to be told.”
— Robert E. Kass, Carnegie Mellon University" Abandoned; not a bad narrative of the development of Bayesian methods, but lacks any substantial mathematical content. Given the historical examples in the book, that seems like a missed opportunity, even if only as an appendix. "
— Matt, 2/1/2014" Of course I wish there had been more math - there are exactly two equations in the entire book - but that's to be expected. I did enjoy all of the anecdotes about famous mathematicians. George Box in particular sounded like quite a character. But ultimately I found the book a little disappointing. Since Bayes is as much a state of mind as a set of techniques, sometimes the author was reduced to essentially "it kinda looks like they used Bayesian reasoning to solve that problem, but we can't know for sure." Still, worth reading for anyone interested in the history of science and technology, and very accessible even for the non-mathematically inclined. "
— John, 1/26/2014" Good, but only for trufans "
— Aaron, 1/21/2014" Stories about math tend to be either well intentioned and obtuse or populist and shallow. This manages to walk the line between the two, which is rare, but does lean slightly towards the latter. Still a solid read, mixing history, obsession and science nicely. "
— kaythetall, 1/17/2014" Definitely did not make it through this; I agree with the reviewers who thought the book needed a little more explicit detail. There really is almost no "math" in book, at least the parts I got through. Seems a lot less interesting that way to me. "
— Greg, 1/13/2014" Really interesting book about history of probability theory and some unlikely heroes. The science environment surrounding WWII is endlessly fascinating and this book has some great insight. "
— Bryce, 12/31/2013" A good story of the people involved, and how they used the theory (or not), but not a good source for a layperson who also wants to understand it better and how it was used in all these ways. "
— Qwerty88, 12/11/2013" 'Bayes' rule can be described in one sentence: by updating our initial beliefs with objective new information, we get a new and improved belief.' "
— Chris, 9/18/2013" This book is a great in-depth look at the history of Bayesian statistics and application of Bayesian Statistical methods. I would recommend this book to anyone who is curious about Bayesian statistics, or anyone with a curiosity about how belief updating works in general. "
— Jowanza, 5/5/2013" Plodding at times. Neither the math nor the people truly come to life. But, a decent overview. "
— Ian, 4/30/2013" Statistics, history, philosophy and academic politics; what more could a nerd want? Laplace is my hero. Bayes Rule is a very different way to think about problems. P(A|B)=[P(B|A)P(A)]/P(B) "
— T.M., 11/22/2012" Interesting and informative read about the history and applications of Bayesian statistics. Too light on the mathematics, so to get the most from this book I'd suggest you first skim the basics of frequentist and Bayesian philosophies on Wikipedia. Recommended. "
— Christopher, 10/26/2012" The writing was atrocious. It was unreadable. "
— Marc, 9/19/2012" Was interested at first, but got tired of reading it. Had to put it down and take something else up. "
— Scott, 9/9/2012" Very slow start but well written and interesting. Definitely not pleasure reading / relaxing. Will plan to revisit if I ever end up having time for non-work related technical reading. "
— Steve, 4/23/2012Sharon Bertsch McGrayne is the author of critically-acclaimed books about scientific discoveries and the scientists who make them. Her published works include Prometheans in the Lab, Nobel Prize Women in Science, and Blue Genes and Polyester Plants. A former prize winning journalist for Scripps-Howard, Crain’s, Gannett, and other newspapers, McGrayne has coauthored numerous articles about physics for the Encyclopaedia Britannica. A graduate of Swarthmore College, she lives in Seattle.
Laural Merlington is an audiobook narrator with over two hundred titles to her credit and a winner of multiple Earphones Awards. An Audie Award nominee, she has also directed over one hundred audiobooks. She has performed and directed for thirty years in theaters throughout the country. In addition to her extensive theater and voice-over work, she teaches college in her home state of Michigan.