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Chance: A Guide to Gambling, Love, the Stock Market and Just About Everything Else (Hardcover)

by Amir D. Aczel (Author) "PROBABILITY is humanity's attempt to understand the uncertainty of the universe, to define the indefinable..." (more)
Key Phrases: normally distributed random quantity, inspection paradox, warden points, Las Vegas (more...)
3.1 out of 5 stars See all reviews (18 customer reviews)

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Editorial Reviews

From Publishers Weekly
The baffling, for some, subject of chance and luck is demystified in this sketchy but engaging treatise. Mathematician Aczel (Fermat's Last Theorem) includes some equations, but mostly sticks to grade-school arithmetic and a few easy story problems in explicating the mathematics of probability. He untangles a number of urgent conundrums, including why buses always seem to run late, why any group of 31 people will include two with the same birthday and why random walks can model the stock market. The book abounds in counterintuitive life lessons. You shouldn't gamble, he says, but if you do then you are better off, probability-wise, if you blow your whole wad on a single spin of the roulette wheel than if you parcel it out in smaller bets. And the lovelorn can take comfort in knowing that, if you just keep dating, the odds are surprisingly good that your soul mate will turn up. Indeed, "[y]ou will maximize your probability of finding the best spouse if you date thirty-seven percent of the available candidates in your life, and then choose to stay with the next candidate who is better than all previous ones." Aczel's treatments of some topics, like game theory, are so perfunctory as to barely register, but his light touch generally makes probability come alive.
Copyright © Reed Business Information, a division of Reed Elsevier Inc. All rights reserved.

From Booklist
People, as a rule, perform poorly when it comes to estimating risk and chance. Casinos profit from this ignorance about probability, and statistics in the news tend not to be well understood by the public. Aczel takes on the noble mission of enlightening readers with the theory behind everyday probability, indulging in amusing whimsies along the way. If you wish to get married, for example, Aczel advises you to reject the first 37 percent of your dating pool, after which you propose to the first date you like. He shows why one should not marvel that in a random collection of 20 people, it's likely 2 will have the same birthday. In these examples as well as others drawn from worlds ruled by chance, such as cards and the stock market, Aczel describes the nature of randomness with simple formulas, showing the results of random trials, such as coin tosses. Extending his winning track record of popularizing science (e.g., Pendulum, 2003), Aczel entertains readers with ways to tame the guesswork. Gilbert Taylor
Copyright © American Library Association. All rights reserved

See all Editorial Reviews

Product Details

  • Hardcover: 161 pages
  • Publisher: Thunder's Mouth Press; illustrated edition edition (2004)
  • Language: English
  • ISBN-10: 1568583168
  • ISBN-13: 978-1568583167
  • Product Dimensions: 7.6 x 5.3 x 0.8 inches
  • Shipping Weight: 8 ounces (View shipping rates and policies)
  • Average Customer Review: 3.1 out of 5 stars See all reviews (18 customer reviews)
  • Amazon.com Sales Rank: #697,171 in Books (See Bestsellers in Books)

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Customer Reviews

18 Reviews
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 (2)
4 star:
 (7)
3 star:
 (2)
2 star:
 (5)
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Average Customer Review
3.1 out of 5 stars (18 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

 
24 of 24 people found the following review helpful:
3.0 out of 5 stars Leaving it all to chance, November 28, 2004
By R. Yolken (Baltimore Md) - See all my reviews
(REAL NAME)   
"Chance" by Amir Aczel is an entertaining introduction to statistical reasoning as applied to daily life. It will provide a great deal of information to those unfamiliar with statistics or statistical reasoning. However, because of the brevity of the explanations, the reader often does not have adequate information to evaluate the hypotheses put forward in the text. This is particularly the case in the section on selecting a mate, in which a number is given based on "e" without any real explanation, and the section on Bayes's theorem, which does not provide enough detail to allow for adequate understanding or evaluation. The book also has some factual errors, such as the presentation of a poker hand in which one player is trying to draw to a flush in order to "beat" another player who already has a full house. I also think that some of the problems presented at the end of the book were not explained clearly.

This book may be a good place to start for someone interested in the application of statistics to daily life but it will leave the interested reader thirsting for more details and explanation. If that was the goal of the author, he certainly succeeded. Perhaps he or other authors will write a book which addresses this need in the near future.
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21 of 21 people found the following review helpful:
1.0 out of 5 stars Great idea, but needed a lot more work, January 9, 2005
In "Chance," Dr. Aczel had a wonderful idea: Present the basic ideas of probability in a context that lay-people can understand. He engages the reader's imagination through real-life examples. Given the role that probability and statistics play in political reporting (through polls), the recent poker craze and investing, this book seems an ideal gift for just about anyone who doesn't already know anything about probability theory.

Unfortunately, the execution of the book is severely flawed. The book is very poorly edited. In particular, many of the formulas contain significant errors. A probability theory novice will certainly get lost in this.

In addition, in the section about 6 degrees of separation, he makes no mention of James Milgram's experiment. One can probably safely assume he is aware of this experiment, and I think that making no mention of it (especially as it brings sociology so nicely into the picture) was a mistake.

Finally, the book is simply too short. The real text is only about 120 pages, with a large font and small pages. I was originally considering giving this book to my Computer Algorithms students as a helpful introduction to probability. Dr. Aczel does not, however, provide enough formulas and examples to make this useful.

I highly recommend this book as a gift for those people who have never had a probability course. It will help acquaint them with some of the counter-intuitive effects that probability theory has on every-day life. Serious fans of math, however, should steer clear.
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17 of 18 people found the following review helpful:
2.0 out of 5 stars Book needs editing., December 3, 2004
The basic ideas are clearly and cleverly presented. However, it is little more than a very short text with a few examples. It is distracting to find the equations clumsily presented, and there are errors of content in addition to typos. It needed a knowledgable and diligent editor.
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Most Recent Customer Reviews

2.0 out of 5 stars Mediocrity
Chance is unfortunately so shallow in its examination of the subject that it glances over its various topics. Read more
Published 10 months ago by Eden Rabatsch

2.0 out of 5 stars Chance: A Guide To...
Somewhat disappointing, didn't really learn anything new. Very easy and quick read, though not that all entertaining. Was expecting more.
Published 13 months ago by howie1020

4.0 out of 5 stars Fun light reading on probability
Amir Aczel's "Chance" is a delightful discovery. Light reading, but an accurate and fun exposition of probability in everyday life. Read more
Published 16 months ago by Bachelier

4.0 out of 5 stars Ignorance in understanding Chance - a costly error for humanity...
Every day, in every walk of life we have to deal with chance. One of the biggest mistakes we humans make is assigning a cause to what really happened by chance. Read more
Published 20 months ago by Rai Chowdhary

2.0 out of 5 stars Probabilities pulled out of nowhere
This book started out somewhat interesting with high-level discussion of the basics of probability. A nice refresher course of things I imagine most people reading this book... Read more
Published on June 19, 2007 by Sarah Borkowski

2.0 out of 5 stars There are many better books on probability
A short book describing in non-technical terms some standard topics in mathematical probability -- e.g. gambler's ruin, coincidences, birthday problem, secretary problem. Read more
Published on May 28, 2007 by David J. Aldous

4.0 out of 5 stars "Probability" is not a four-letter word!
Amir D. Aczel, Chance: A Guide to Gambling, Love, the Stock Market, and Just About Everything Else (Thunder's Mouth Press, 2004)

Chance. Read more
Published on May 11, 2007 by Robert P. Beveridge

4.0 out of 5 stars What luck is all about!
Surely, this book about propability is written for the
layman. But even if you are little more expert than that,
it is quite good. Read more
Published on May 2, 2006 by Simon Laub

4.0 out of 5 stars CHANCE
This book covers alot of ground in discussing topics in probability without becoming too technical. The book is succinct, easy to read, and seems that is was meant to pique one's... Read more
Published on March 19, 2006 by Dan Jhirad

1.0 out of 5 stars Too many errors and not enough substance
This tiny book leaves one with the impression it was knocked off over a weekend. The topics chosen in the book are intriguing but are only mentioned in summary and nothing is... Read more
Published on January 25, 2006 by Wedderburn

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