0;When I read the book, I was impressed by the amount of effort that went into compiling the reams of data that underlie the work0;The fundamental case the authors make is that the statistical analysis shows that the conventional wisdom about sports is dead wrong2;that the data as the put it, 0;offers many surprises.1;2;Joe Nocera, The New York Times
0;In The Wages of Wins, the authors attempt to puncture some popular myths2;saying that payroll and wins are not highly correlated, and that in baseball, football0;.attendance hasn7;t been significantly affected by players strikes or owner lockouts.1;2;Sue Kirchhoff, USA Today
0;In The Wages of Wins, the economists David J. Berri, Martin B. Schmidt, and Stacey L. Brook set out to solve the Iverson problem. Weighing the relative value of fouls, rebounds, shots taken, turnovers, and the like, they7;ve created an algorithm that, they argue, comes closer than any previous statistical measure to capturing the true value of a basketball player. 0;Looking at the findings that Berri, Schmidt, and Brook present is enough to make one wonder what exactly basketball experts2;coaches, managers, sportswriters2;know about basketball.1;2;Malcolm Gladwell, The New Yorker