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“Please read The Drunkard’s Walk: How Randomness Rules Our Lives by Leonard Mlodinow, a history, explanation, and exaltation of probability theory. . . . Mlodinow . . . thinks in equations but explains in anecdote, simile, and occasional bursts of neon. . . .The results are mind-bending.”–Fortune
In this irreverent and illuminating book, acclaimed writer and scientist Leonard Mlodinow shows us how randomness, change, and probability reveal a tremendous amount about our daily lives, and how we misunderstand the significance of everything from a casual conversation to a major financial setback. As a result, successes and failures in life are often attributed to clear and obvious cases, when in actuality they are more profoundly influenced by chance.
How could it have happened that a wine was given five out of five stars, the highest rating, in one journal and in another it was called the worst wine of the decade? Mlodinow vividly demonstrates how wine ratings, school grades, political polls, and many other things in daily life are less reliable than we believe. By showing us the true nature of change and revealing the psychological illusions that cause us to misjudge the world around us, Mlodinow gives fresh insight into what is really meaningful and how we can make decisions based on a deeper truth. From the classroom to the courtroom, from financial markets to supermarkets, from the doctor's office to the Oval Office, Mlodinow's insights will intrigue, awe, and inspire.
Offering readers not only a tour of randomness, chance, and probability but also a new way of looking at the world, this original, unexpected journey reminds us that much in our lives is about as predictable as the steps of a stumbling man fresh from a night at the bar.
“A wonderfully readable guide to how the mathematical laws of randomness affect our lives.”--Stephen Hawking, author of A Brief History of Time
“Mlodinow writes in a breezy style, interspersing probabilistic mind-benders with portraits of theorists ...The result is a readable crash course in randomness.”–The New York Times Book Review
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