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Archive of posts filed under the Sports category.

Adiabatic as I wanna be: Or, how is a chess rating like classical economics?

Chess ratings are all about change. Did your rating go up, did it go down, have you reached 2000, who’s hot, who’s not, and so on. If nobody’s abilities were changing, chess ratings would be boring, they’d be nothing but a noisy measure, and watching your rating change would be as exciting as watching a […]

The 1980 Math Olympiad Program: Where are they now?

Brian Hunt: He was the #1 math team kid in our team (Montgomery County, Maryland). I think he came in first place in the international olympiad the next year (yup, here’s the announcement). We carpooled once or twice to county math team practices, and I remember that his mom would floor it rather than slow […]

Statistics job opening . . . at the NBA!

Jason Rosenfeld writes: I work for the NBA League Office headquarters in New York City. I’m the Director of Basketball Analytics here at the NBA, and I’m again recruiting analysts. More information on the roles I’m trying to fill can be found here (peopleclick.com). I’m open to both undergraduate and graduate students. I’d be perfect […]

Two Unrecognized Hall Of Fame Shortstops

Michael Humphreys writes: Thought you might be interested in or might like to link to the following article. The statistical rigor is obviously not at a professional level, but pitched somewhere around the Bill Jamesian level. Here’s the link. This sort of thing makes me realize how out of it I am, when it comes […]

The plagiarist next door

In a comment on this chess-related post, Matt Gaffney pointed me to this wonderful page full of chess curiosities by Tim Krabbé. My nederlands is not what it used to be, but Krabbé has posted lots of material in English so that’s no problem. I started reading his “Open chess diary” (i.e., blog), it’s updated […]

Crowdsourcing data analysis: Do soccer referees give more red cards to dark skin toned players?

Raphael Silberzahn Eric Luis Uhlmann Dan Martin Pasquale Anselmi Frederik Aust Eli Christopher Awtrey Štěpán Bahník Feng Bai Colin Bannard Evelina Bonnier Rickard Carlsson Felix Cheung Garret Christensen Russ Clay Maureen A. Craig Anna Dalla Rosa Lammertjan Dam Mathew H. Evans Ismael Flores Cervantes Nathan Fong Monica Gamez-Djokic Andreas Glenz Shauna Gordon-McKeon Tim Heaton Karin […]

Debate on using margin of error with non-probability panels

Tomorrow (Thurs 22 Jan) at 2pm, I’m participating (along with Jane Tang, John Bremer, Nancy Brigham, and Steve Mossup) on an online discussion, moderated by Annie Pettit, on the above topic. Here’s the description: Most marketing researchers know that using Margin of Error with convenience samples, non-probability samples, and online research panels is inappropriate. However, […]

Stan comes through . . . again!

Erikson Kaszubowski writes in: I missed your call for Stan research stories, but the recent post about stranded dolphins mentioned it again. When I read about the Crowdstorming project in your blog, I thought it would be a good project to apply my recent studies in Bayesian modeling. The project coordinators shared a big dataset […]

Try answering this question without heading to Wikipedia

Phil writes: This is kind of fun (at least for me): You would probably guess, correctly, that membership in the US Chess Federation is lower than its peak. Guess the year of peak membership, and the decline (as a percentage) in the number of members from that peak. My reply: I don’t know, but I’d […]

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

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 […]