Paperback: 262 pages
Publisher: Copernicus; 2011 edition (October 6, 2010)
Language: English
ISBN-10: 1441962689
ISBN-13: 978-1441962683
Product Dimensions: 6.1 x 0.6 x 9.2 inches
Shipping Weight: 13.6 ounces (View shipping rates and policies)
Average Customer Review: 3.2 out of 5 stars See all reviews (4 customer reviews)
Best Sellers Rank: #1,191,979 in Books (See Top 100 in Books) #295 in Books > Business & Money > Industries > Sports & Entertainment > Sports #975 in Books > Business & Money > Education & Reference > Statistics #2054 in Books > Science & Math > Mathematics > Applied > Statistics
I like the work that JC Bradbury does in both this book and on his blog. He raises interesting questions and tries to answer them in a scientific manner. However, he has a me against the world mentality, complete with refusing criticism of his work. Most members of the sabermetric community do not agree with the conclusions that he draws. This is good in the sense that it drive discussion, but he does not want to be included in the conversation (specifically asked not to be) when addressing new and controversial ideas.
The author obviously did not pay for a copy editor ("loose" instead of "lose", Tampa Bay Devil Rays and Tampa Bay Rays in the same table, "Image that" instead of "Imagine that", to/too, etc.), and the large number of mistakes, misplaced words, and other issues makes the book hard to read.As for the content, it's nothing special, either. I imagine the book would be more interesting to someone who doesn't keep up with baseball analytics, but for me, there was really nothing earth-shattering in it. And none of the author's approaches to analytics, and teasing out different causes and effects, struck me as particularly clever or new.
This book is great for the fan that likes to do a little math and get some real perspective on value. Highly recommemded to all!
I enjoyed Bradbury's previous book, The Baseball Economist, but this book fell far short. Bradbury's arguments in this book appear to be only spewing arguments from his previous work. Furthermore, some of his arguments (e.g. arguing that baseball talent is normally distributed) does not comport with the work of many other sabermetricians (believing that talent skews to the left tail). Bradbury only provides a few pages to argue why he believes talent is normally distributed, and appears to ignore all the work of other mathematicians which balances in the other direction. Finally, the book is poorly edited. There are plenty of typos in the book, which is not necessarily Bradbury's fault but an annoyance nonetheless. Simply put, it is a mediocre read.
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