Posts Tagged ‘ Sports ’

The latest episode in my continuing effort to use non-sports analogies

December 14, 2014
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In a unit about the law of large numbers, sample size, and margins of error, I used the notorious beauty, sex, and power example: A researcher, working with a sample of size 3000, found that the children of beautiful parents were more likely to be girls, compared to the children of less-attractive parents. Can such […] The post The latest episode in my continuing effort to use non-sports analogies appeared…

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Who should write the new NYT chess column?

December 8, 2014
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Matt Gaffney gives these “three essential characteristics” for writing “a relevant, interesting weekly chess column” in 2014: 1. It must be written by someone who is deeply involved in the chess world. Summaries of information that is already available online won’t cut it anymore. And since newspapers can’t afford to send columnists around the world […] The post Who should write the new NYT chess column? appeared first on Statistical…

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Times have changed (sportswriting edition)

November 15, 2014
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Times have changed (sportswriting edition)

The name Tom Boswell came up in a recent comment thread and I was moved to reread his 1987 article, “99 Reasons Why Baseball Is Better Than Football.” The phrase “head injury” did not come up once. Boswell refers a few times to football’s dangerous nature (for example, “98. When a baseball player gets knocked […] The post Times have changed (sportswriting edition) appeared first on Statistical Modeling, Causal Inference,…

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Ray Could Write

November 2, 2014
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Ray Could Write

Now he is scattered among a hundred cities And wholly given over to unfamiliar affections, To find his happiness in another kind of wood And be punished under a foreign code of conscience. . . . You were silly like us; your gift survived it all: For chess makes nothing happen: it survives In the […] The post Ray Could Write appeared first on Statistical Modeling, Causal Inference, and Social…

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2 on chess

October 27, 2014
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2 on chess

Is it really “often easier to win a rematch than to defend a championship”? The quoted bit above comes from Tyler Cowen, writing about the Anand/Carlsen world championship rematch. I’m still not used to the idea of a new world championship match every year but I guess why not? Anyway, here’s my question. Tyler Cowen […] The post 2 on chess appeared first on Statistical Modeling, Causal Inference, and Social…

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Count data are less useful than you think

October 14, 2014
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Count data are less useful than you think

A lot of Big Data analyses default to analyzing count data, e.g. number of searches of certain keywords, number of page views, number of clicks, number of complaints, etc. Doing so throws away much useful information, and frequently leads to bad analyses. *** I was reminded of the limitation of count data when writing about the following chart, which I praised on my sister blog as a good example of…

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An infographic showing up here for the right reason

October 9, 2014
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An infographic showing up here for the right reason

Infographics do not have to be "data ornaments" (link). Once in a blue moon, someone finds the right balance of pictures and data. Here is a nice example from the Wall Street Journal, via ThumbsUpViz. Link to the image What...

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The Rise of the Samurai Pitcher

October 2, 2014
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The Rise of the Samurai Pitcher

Masahiro Tanaka stands on the mound, rubbing the ball vigorously between his hands. It's a crisp, cool night in the Bronx. Stepping back, he digs his right foot into the rubber, winds up and, with a seven-foot stretch, steps towards the catcher, unleas...

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“Derek Jeter was OK”

September 25, 2014
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“Derek Jeter was OK”

Tom Scocca files a bizarrely sane column summarizing the famous shortstop’s accomplishments: Derek Jeter was an OK ballplayer. He was pretty good at playing baseball, overall, and he did it for a pretty long time. . . . You have to be good at baseball to last 20 seasons in the major leagues. . . […]

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Poker math showdown!

August 25, 2014
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Poker math showdown!

In comments, Rick Schoenberg wrote: One thing I tried to say as politely as I could in [the book, "Probability with Texas Holdem Applications"] on p146 is that there’s a huge error in Chen and Ankenman’s “The Mathematics of Poker” which renders all the calculations and formulas in the whole last chapter wrong or meaningless […] The post Poker math showdown! appeared first on Statistical Modeling, Causal Inference, and Social…

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