andrew_gelman_stats andrew_gelman_stats-2012 andrew_gelman_stats-2012-1132 knowledge-graph by maker-knowledge-mining

1132 andrew gelman stats-2012-01-21-A counterfeit data graphic


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Introduction: Kaiser Fung discusses . It’s a good sign when statistical graphics are so popular that people feel the need to fake them!


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1 It’s a good sign when statistical graphics are so popular that people feel the need to fake them! [sent-2, score-2.058]


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Introduction: Kaiser Fung discusses . It’s a good sign when statistical graphics are so popular that people feel the need to fake them!

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Introduction: No joke. See here (from Kaiser Fung). At the Statistics Forum.

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Introduction: Answer here (courtesy of Kaiser Fung).

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Introduction: Kaiser Fung tells what it’s really like . Here’s a sample: As soon as I [Kaiser] put the substring-concatenate expression together with two lines of code that generate data tables, it choked. Sorta like Dashiell Hammett without the broads and the heaters. And here’s another take, from a slightly different perspective.

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Introduction: Bruce McCullough writes: The Sept 2009 issue of Wired had a big article on the increase in the placebo effect, and why it’s been getting bigger. Kaiser Fung has a synopsis . As if you don’t have enough to do, I thought you might be interested in blogging on this. My reply: I thought Kaiser’s discussion was good, especially this point: Effect on treatment group = Effect of the drug + effect of belief in being treated Effect on placebo group = Effect of belief in being treated Thus, the difference between the two groups = effect of the drug, since the effect of belief in being treated affects both groups of patients. Thus, as Kaiser puts it, if the treatment isn’t doing better than placebo, it doesn’t say that the placebo effect is big (let alone “too big”) but that the treatment isn’t showing any additional effect. It’s “treatment + placebo” vs. placebo, not treatment vs. placebo. That said, I’d prefer for Kaiser to make it clear that the additivity he’s assu

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Introduction: Answer here (courtesy of Kaiser Fung).

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Introduction: In case you couldn’t come to our panel (with Kaiser Fung, Mark Hansen, Tahir Hemphill, Manuel Lima, and Jonathan Stray, and organized by Isabel Draves), here’s the video:

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Introduction: Kaiser nails it . The offending article , by John Tierney, somehow ended up in the Science section rather than the Opinion section. As an opinion piece (or, for that matter, a blog), Tierney’s article would be nothing special. But I agree with Kaiser that it doesn’t work as a newspaper article. As Kaiser notes, this story involves a bunch of statistical and empirical claims that are not well resolved by P.R. and rhetoric.

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Introduction: Back when I taught at Berkeley, I once asked a Ph.D. student how he’d decided to work with me. He said that a couple of the tenured professors had advised him not to take my class, and that this advice had got him curious: What about Bayesian statistics is so dangerous that it can scare these otherwise unflappable stat professors. Overall, my senior colleagues’ advice to students to avoid my course probably decreased my enrollment, but the students who did decide to attend surely had better character than the ones who followed directions. (Or, at least I’d like to think that.) I was reminded of that incident recently when reading a news article by Marc Tracy: A U.S. Department of Education committee is investigating whether a Columbia University department head “steered” a Jewish student away from taking a class on the Mideast taught by Professor Joseph Massad due to the perception that she would be “uncomfortable” because of the professor’s pro-Palestinian tilt . . . “Ba

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