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You may think you have all of the data. You don’t. One of the biggest myth of Big Data is that data alone produce complete answers. Their “data” have done no arguing; it is the humans who are making this claim. Before getting into the methodological issues, one needs to ask the most basic question. […]
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Fernando Martel Garcia writes: So I am applying for a DC driver’s license and needed a translation of my Spanish license to show to the DMV. I go to http://www.onehourtranslation.com/ and as I prepare to pay I see a familiar face in the bottom banner: It appears Stapel is one of their “over 15,000 dedicated […]
The post He just ordered a translation from Diederik Stapel appeared first on Statistical Modeling, Causal Inference, and Social Science.

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OK, let’s take a break from blogging about economics. OK, I haven’t actually been blogging so much about econ lately, but it just happens that I’m writing this on 19 July, a day after poking a stick into the hornet’s nest by posting “Differences between econometrics and statistics: From varying treatment effects to utilities, economists […]
The post What is the purpose of a poem? appeared first on Statistical Modeling, Causal Inference, and Social Science.

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(Disclaimer: I’m new to Shiny, and blog posts, but I know something about geography.) In the Shiny gallery, take a look at 2001 versus 2002. Something funny happens to Switzerland (and other European countries), in terms of the legend, it moves from Europe to the Middle East. Also, the legend color scheme switches. […]
The post mysterious shiny things appeared first on Statistical Modeling, Causal Inference, and Social Science.

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There’s a new intro to Bayes in town. Michael Lee and Eric-Jan Wagenmaker. 2014. Bayesian Cognitive Modeling: A Practical Course. Cambridge Uni. Press. This book’s a wonderful introduction to applied Bayesian modeling. But don’t take my word for it — you can download and read the first two parts of the book (hundreds of pages […]
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