Posts Tagged ‘ Sports ’

More power brings more responsibility

May 15, 2013
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More power brings more responsibility

Nick C. on Twitter sent us to the following chart of salaries in Major League Soccer. (link) This chart is hosted at Tableau, which is one of the modern visualization software suites. It appears to be a user submission. Alas,...

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Of parsing and chess

May 8, 2013
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Of parsing and chess

Gary Marcus writes, An algorithm that is good at chess won’t help parsing sentences, and one that parses sentences likely won’t be much help playing chess. That is soooo true. I’m excellent at parsing sentences but I’m not so great at chess. And, worse than that, my chess ability seems to be declining from year [...]The post Of parsing and chess appeared first on Statistical Modeling, Causal Inference, and Social…

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Challenges with sports analytics

May 8, 2013
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Challenges with sports analytics

On the Junk Charts blog (link), I discussed some charts from the NYT graphics team (@nytgraphics) for a feature on the NFL draft. In the second part of the behind-the-scenes blog post, they discussed how they visualized work by some economists. This is how the research was summarized: "across all players and positions, teams only picked a player better than the person who went next at that position 52 percent…

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A gift from the NY Times Graphics team

May 2, 2013
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A gift from the NY Times Graphics team

This post is long over-due. I have been meaning to write about this blog for a long time but never got around to it. It's like the email response you postponed because you want to think before you fire it...

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Giving credit where due

April 30, 2013
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Gregg Easterbrook may not always be on the ball, but I 100% endorse the last section of his recent column (scroll down to “Absurd Specificity Watch”). Earlier in the column, Easterbrook has a plug for Tim Tebow. I’d forgotten about T...

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The Great Race

April 29, 2013
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This post is by Phil. Last summer my wife and I took a 3.5-month vacation that included a wide range of activities. When I got back, people would ask “what were the highlights or your trip?”, and I was somewhat at a loss: we had done so many things that were so different, many of [...]The post The Great Race appeared first on Statistical Modeling, Causal Inference, and Social Science.

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Goal: Rules for Turing chess

April 22, 2013
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Goal:  Rules for Turing chess

Daniel Murell has more thoughts on Turing chess (last discussed here): When I played with my brother, we had it that if you managed to lap someone while running around the house, then you got an additional move. This means that if you had the option to take the king on your additional move, you [...]The post Goal: Rules for Turing chess appeared first on Statistical Modeling, Causal Inference, and…

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How effective are football coaches?

April 15, 2013
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Dave Berri writes: A recent study published in the Social Science Quarterly suggests that these moves may not lead to the happiness the fans envision (HT: the Sports Economist). E. Scott Adler, Michael J. Berry, and David Doherty looked at coaching changes from 1997 to 2010. What they found should give pause to people who [...]The post How effective are football coaches? appeared first on Statistical Modeling, Causal Inference, and…

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Scatterplot charades!

April 7, 2013
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Scatterplot charades!

What are the x and y-axes here? P.S. Popeye nails it (see comments).

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2.15

March 21, 2013
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Jake Hofman writes that he saw my recent newspaper article on running (“How fast do we slow down? . . . For each doubling of distance, the world record time is multiplied by about 2.15. . . . for sprints of 200 meters to 1,000 meters, a doubling of distance corresponds to an increase of [...]

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