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Lady Luck: The Theory of Probability by…
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Lady Luck: The Theory of Probability (1963)

by Warren Weaver

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Danish (1)  English (1)  All languages (2)
Former math/professor of probability theory after serving on Rockerfeller Foundation and a panel of the Office of Research and Development during WWII, became convinced that what one can learn from probability theory is interesting, fun, invaluable, and "no other type of thinking can deal with many of the problems of the modern world". This should be taught to children of all ages.

Probability theory begins with games of "chance". Professor Weaver takes us back, then advances through the contributions of great thinkers, step by step, to the future of thinking. Drawing upon history, the writings of Pascal, Godel, Langer, Bernoulli, and a host of others, the book explains permutations, independent events, expectation, law of averages, Chebychev's theorem, law of large numbers, and probability of distributions. Very helpful on understanding "coincidence" [so difficult for us as pattern-seeking creatures]. He tries to show by examples that this type of thinking is "realistic" and valuable. We are betting we'll study our odds, and will make the best of it.
  keylawk | Jan 9, 2016 |
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» Add other authors (2 possible)

Author nameRoleType of authorWork?Status
Warren Weaverprimary authorall editionsconfirmed
Åstrand, SvenTranslatorsecondary authorsome editionsconfirmed
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Epigraph
The real trouble with this world of ours is not that it is an unreasonable world, nor even that it is a reasonable one. The commonest kind of trouble is that is is nearly reasonable, but not quite.
--G. K. Chesterton, "Orthodoxy"
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She doesn't like mathematics, but she is awfully good at probabilities. So this is for Mary.
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This book is, in one sense, about thinking.
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Amazon.com Product Description (ISBN 0486243427, Paperback)

Everyday questions such as "Should I take my umbrella?" involve probability, a topic important in daily life and in science. This witty, nontechnical introduction to the subject elucidates such concepts as permutations, independent events, mathematical expectation, the law of averages and more. No advanced math required. 49 drawings.

(retrieved from Amazon Thu, 12 Mar 2015 18:13:05 -0400)

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