Thursday, October 27, 2016
Manfred hinted to Golic that he has plans to speak with team ownership about the use of the logo during the offseason:
Well, I understand that particular logo is offensive to some people, and I understand why. On the other side of the coin, you have a lot of fans that have history and are invested in the symbols of the Indians. I think that after the World Series, at an appropriate point in time, Mr. [Larry] Dolan and I have agreed we’ll have a conversation about what should happen with that particular logo going forward.
I reached out to MLB for clarification on whether Manfred has concrete plans to meet with Dolan or other Indians people about the logo.
Dolan said earlier this year that Wahoo would become its alternate logo to the classic block-C logo. During the ALCS, an indigenous activist in Canada filed a request for an injunction to disallow the use of the team name and Chief Wahoo logo while the Indians were playing the Blue Jays in Toronto. The request for the injunction was denied.
Wednesday, October 26, 2016
“It takes a father to make a professional baseball player,” the study’s introduction says. “This is perhaps not a novel insight–anyone who has seen baseball movies from ‘The Sandlot’ to ‘Field of Dreams’ will instantly recognize the deep connection baseball has to father-son relationships in America. What is new is having the data and analysis to show that the effects are more than anecdotes or nostalgia.”...
The institute’s “study” on parentage and professional baseball links two-parent households with an infinitesimal increase in the likelihood that you’ll be a pro baseball player, and given that a depressing number of African-Americans grow up without a father in the house, the institute uses a series of smoke, mirrors, and deliberately misleading data analysis to conclude causation where there is merely correlation. Oh, and this leap in logic is fantastically, breathtakingly racist.
Let’s break it down. The institute uses a very common data analysis technique called regression that measures the impact of one or more independent variables on a dependent variable. For example, a fast food chain might want to measure how the distance between one of their outlets and a highway exit impacts sales. An economist might take any number of economic indicators to see how they impact the stock market.
The Austin Institute wanted to measure the impact of having a father on the likelihood of being a pro baseball player. Drawing on various census and population data along with some other data they cobbled together about the backgrounds of current players, they developed a few regression models that concluded that counties with a higher percentage of births in wedlock and two-parent families produce more professional baseball players and more successful high school baseball teams.
The institute doesn’t make any of the models or data available to the public, the study didn’t go through a formal peer-review process, and much of the analysis presented is selective, meaning no detailed data on the statistical validity of these models was given. But giving the benefit of the doubt to authors Joseph Price and Kevin Stuart that (for you stats nerds) their p-values are sufficiently small and their Rs-squared are meaningfully large, the study still has two fatal logical flaws.
Posted: October 26, 2016 at 01:38 PM | 42 comment(s)
Tuesday, September 27, 2016
Black players don’t claim MVPs in the American League. Hispanic players are ignored by National League voters. Has an ugly bias influenced the MVP vote?
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