Monday, July 1, 2013
other sports
seem to be developing their own advanced statistical systems. Take basketball for example. It would be easy to conclude that there was nothing like the development of statistical baseball professional basketball, otherwise we would have heard and knowledge that had spread as wide as it made in baseball, right?
Well, no, actually, and this is a lesson in how collaboration, open development, and construction of the ideas of others provides the most advanced results . This is the conclusion of Jason Schwartz in their preparation for the Sloan Sports Analytics Conference, where at least a discussion of measures basketball happens. This conference, now an event sponsored by ESPN, was born in what was once a simple database Yahoo was launched in 2001 by the Statistical basketball geeks. At first, as was the case with measures of baseball, the forum was opened for discussion, peer review and exchange of ideas. Unlike baseball, however, the NBA knew all about Moneyball in 2003 and the teams were very interested in the potential of advanced measures. The hotel NBA quickly realized. [Dean] Oliver, who published the seminal paper on Basketball in 2003, seven months after it hit stores Moneyball, was hired full-time by the Seattle Supersonics in 2004. Another regular council, John Hollinger, was hired the following year by ESPN - and recently became vice president of basketball operations for the Memphis Grizzlies. ESPN Hollinger concert was filled by Pelton, who, having made a name in the Prospectus basketball, spent some time talking to the management of Indiana Pacers. Roland Beech, who created the popular 82-game Web site, was hired by the Dallas Mavericks in 2009 as director of basketball analysis. (His boss, Mark Cuban, is regularly one of the biggest names in the Sloan conference.)So you think, "Great! Teams realized Initially, unlike what happened in baseball, which means that knowledge has been adopted ", right? Well, it is true, but the result was a severe growth retardation in the statistics of basketball. Why? Well, if you know something about how patents and intellectual property often function today, you've probably already guessed.
As each statistical joined an NBA team,
share in public have become out of reach, and therefore little recently, think tank closed shop. What were the teams that pay, after all, if new gurus statistics published their ideas online for the other 29 franchises to read? This has had a paradoxical result: Because NBA teams advanced statistical embraced so quickly, progress in analyzing basketball has really slowed down. The best minds are now all working in silos, not only can not work, but actually competing with each other
This is, again, the exact
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