The Unfinished Game: Pascal, Fermat, and the Seventeenth-Century Letter that Made the World Modern

Many textbooks on mathematical probability mention as a brief aside the correspondence between Pascal and Fermat on the subject of settling fairly a wager on an unfinished game. And many of the popular science style books on probability which have substantial historical components (amongst my favorites,  Against the Gods: The Remarkable Story of Risk  and  Chances Are: Adventures in Probability ) devote a few pages to this topic. The first half of Devlin's book, whose style positions it slightly more toward the "serious" end of the popular science spectrum, presents and discusses the correspondence, accompanied by background about the lives of the two principals and their contemporaries. Having a detailed yet easy to read account of this subject is a very welcome addition to the literature.I'm less enthusiastic about the second half, consisting of briefer accounts of the contributions of people such as Graunt, the Bernoullis, Gauss, Bayes and fast forwarding to DNA testimony and Black-Scholes. Much of this material is similar in spirit to that in existing books (such as the two mentioned above) which paint a broader and richer historical picture. Moreover the implication that there's some kind of meaningful direct line from Pascal-Fermat to the present mathematical understanding of probability, risk etc seems to me just misleading. In core areas of mathematics (geometry, algebra, calculus ..) there was a continuous historical development, in that people consciously learned and built upon what was known before. In contrast, pre 20th century mathematical probability was more a disjointed collection of small topics initiated by different individuals with different motivations -- metaphorically, an archipelago not a continent.Note: The listing as 208 pages may be misleading (the pages are smallish and the typeface large), though the price is still very reasonable.

Anything by Keith Devlin is perfect. If you want a really grand weekend, buy several of his books, turn off your cellphone, lock yourself away from the world with a pot of coffee or tea, a couple of Snickers bars and dive right in. His writing is wonderful, clear as can be and what could be more fun than a pile of beautifully written math books. Mathematicians are, in general, exquisite writers. You might want to try Men of Mathematics by E.T. Bell in this weekend as well. And, anything Simon Singh. If I know you will get Keith's book I will be very happy for you.

Moderately entertaining and fairly informative. But not exceptionally written. I know a little more about the origins and anatomy of probability theory, so that makes me happy.

The unfinished game tells the story of the development of probability theory. From its early beginnings, on to Gaussian distribution and Bayes theorem all the way up to its central role in modern risk and finance theory. It's an easy read, mostly historical with interesting anecdotes. However it also manages to teach you a little probability theory and statistical thinking along the way. In short a great little arm chair math book that is highly recommended for both laymen and professionals alike.

Not for everyone but it was interesting, well written and made a clear point that recently it was believed by all to be impossible to predict the future.

It is a pleasent book to read, especially for those interested in probability theory. I would have liked the author writing more about stochastic simulation. This is a technique which solves problems which mathematicas cannot solve, and has only come of age in recent years with speedy PCs.

A fun book for those interested in Game Theory. While not a book for everyone, this one presents a good description of one aspect of this field of mathematics, and is actually so well written that it is fun reading.

A biography of a problem and its solution. Only way to describe it. Absolutely brilliant. I used to have an autographed copy (sadly not by Pascal or Fermat), now have a digital replacement. That's how valuable the book is.

As a student of "Randomness" and "Chance" as an amateur mathematician I found this book a bit dull.