Kucharski’s book, which necessarily oversimplifies an extremely complex subject, is no cure for that ignorance, but gamblers...
A lucid yet sophisticated look at the mathematics of probability as it’s played out on gaming tables, arenas, and fields.
Scissors cut paper, rock smashes scissors, paper covers rock: we all know the game, and some of us have a sense of when to play which of the three choices. Game theory, writes Kucharski (London School of Hygiene and Tropical Medicine), would hold that the optimal strategy is simply to choose randomly, by which you would come out even in the long term. However, most of us are more predictable than that: if we win with rock over scissors, then we’ll choose rock next time. We may shift our strategies, but we’re not playing randomly—and in any event, Kucharski observes, “the irony is that even truly random sequences can contain seemingly nonrandom patterns.” Sure, card counting works to some extent, but most mathematical behavior is a kind of learned guesswork and a lot of hunch playing. The author doesn’t reveal secrets of winning so much as he looks at the myriad ways the math is working against us. “Finding a biased roulette wheel,” he notes by way of example, “isn’t the same as finding a profitable one,” but even so, finding a roulette wheel that “churns out numbers that are uniformly distributed” generally requires collecting a vast body of information about that wheel, something that computers are better at doing than people. The same is true at the parimutuel racetrack, the boxing ring, and every other venue for wagering: having sufficient information is key to making any sort of bet that isn’t a mere stab in the dark. Even the most seasoned of bettors is thus usually to be found somewhere along what mathematicians call Poincaré’s third level of ignorance.
Kucharski’s book, which necessarily oversimplifies an extremely complex subject, is no cure for that ignorance, but gamblers and math buffs alike will enjoy it for its smart approach to real-world problems.Pub Date: Feb. 23, 2016
ISBN: 978-0-465-05595-1
Page Count: 288
Publisher: Basic Books
Review Posted Online: Dec. 7, 2015
Kirkus Reviews Issue: Dec. 15, 2015
BOOK REVIEW
BOOK REVIEW
Stricter than, say, Bergen Evans or W3 ("disinterested" means impartial — period), Strunk is in the last analysis...
Privately published by Strunk of Cornell in 1918 and revised by his student E. B. White in 1959, that "little book" is back again with more White updatings.
Stricter than, say, Bergen Evans or W3 ("disinterested" means impartial — period), Strunk is in the last analysis (whoops — "A bankrupt expression") a unique guide (which means "without like or equal").Pub Date: May 15, 1972
ISBN: 0205632645
Page Count: 105
Publisher: Macmillan
Review Posted Online: Oct. 28, 2011
Kirkus Reviews Issue: May 1, 1972
This is not the Nutcracker sweet, as passed on by Tchaikovsky and Marius Petipa. No, this is the original Hoffmann tale of 1816, in which the froth of Christmas revelry occasionally parts to let the dark underside of childhood fantasies and fears peek through. The boundaries between dream and reality fade, just as Godfather Drosselmeier, the Nutcracker's creator, is seen as alternately sinister and jolly. And Italian artist Roberto Innocenti gives an errily realistic air to Marie's dreams, in richly detailed illustrations touched by a mysterious light. A beautiful version of this classic tale, which will captivate adults and children alike. (Nutcracker; $35.00; Oct. 28, 1996; 136 pp.; 0-15-100227-4)
Pub Date: Oct. 28, 1996
ISBN: 0-15-100227-4
Page Count: 136
Publisher: Harcourt
Review Posted Online: May 19, 2010
Kirkus Reviews Issue: Aug. 15, 1996
BOOK REVIEW
BOOK REVIEW
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