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First Wikipedia, then the Times (featuring Yair Ghitza), now Slashdot (featuring Allen “PyStan” Riddell). Just get us on Gawker and we’ll have achieved total media saturation. Next step, backlash. Has Stan jumped the shark? Etc. (We’d love to have a “jump the shark” MCMC algorithm but I don’t know if or when we’ll get there. […]
The post Stan hits bigtime appeared first on Statistical Modeling, Causal Inference, and Social Science.

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Mark Palko writes: I have a couple of what are probably poli sci 101 questions. The first involves the unintended (?) consequences of plans bring political power back to the common people. The two examples I have in mind are California’s ballot initiatives and parental trigger laws but I’m sure I’m missing some obvious ones. […]
The post In which I play amateur political scientist appeared first on Statistical Modeling, Causal Inference, and Social Science.

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This post is by Phil Price. I’m posting it on Andrew’s blog without knowing exactly where he stands on this so it’s especially important for readers to note that this post is NOT BY ANDREW! Last week a prominent scientist, representing his entire team of researchers, appeared in widely distributed television interviews wearing a shirt […]
The post Guys, we need to talk. (Houston, we have a problem). appeared first on Statistical Modeling, Causal Inference, and Social
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I prepared the above image for this talk. The calculations come from the second column of page 6 of this article, and the psychology study that we’re referring to is discussed here.
The post This is what “power = .06” looks like. Get used to it. appeared first on Statistical Modeling, Causal Inference, and Social Science.

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Mon: “Why continue to teach and use hypothesis testing?” Tues: In which I play amateur political scientist Wed: Retrospective clinical trials? Thurs: “If you’re not using a proper, informative prior, you’re leaving money on the table.” Fri: Hey, NYT: Former editor Bill Keller said that any editor who fails to confront a writer about an […]
The post On deck this week appeared first on Statistical Modeling, Causal Inference, and Social Science.