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The Drunkard's Walk [Audio]
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About the Author

Leonard Mlodinow received his doctorate in physics from the University of California, Berkeley, was an Alexander von Humboldt fellow at the Max Planck Institute, and now teaches about randomness to future scientists at Caltech. Along the way he also wrote for the television series MacGyver and Star Trek: The Next Generation. His previous books include Euclid's Window: The Story of Geometry from Parallel Lines to Hyperspace, Feynman's Rainbow: A Search for Beauty in Physics and in Life, and with Stephen Hawking, A Briefer History of Time. He lives in South Pasadena, California.

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A "drunkard's walk" is a type of random statistical distribution with important applications in scientific studies ranging from biology to astronomy. Mlodinow, a visiting lecturer at Caltech and coauthor with Stephen Hawking of A Briefer History of Time, leads readers on a walk through the hills and valleys of randomness and how it directs our lives more than we realize. Mlodinow introduces important historical figures such as Bernoulli, Laplace and Pascal, emphasizing their ideas rather than their tumultuous private lives. Mlodinow defines such tricky concepts as regression to the mean and the law of large numbers, which should help readers as they navigate the daily deluge of election polls and new studies on how to live to 100. The author also carefully avoids veering off into the terra incognita of chaos theory aside from a brief mention of the famous "butterfly effect," although he might have spent a little more time on the equally famous n-body problem that led to chaos theory. Books on randomness and statistics line library shelves, but Mlodinow will help readers sort out Mark Twain's "damn lies" from meaningful statistics and the choices we face every day. (May 13) Copyright 2008 Reed Business Information.

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