Blog Archives

Interview with Emily Oster

December 19, 2014
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Interview with Emily Oster

Emily Oster is an Associate Professor of Economics at Brown University. She is a frequent and highly respected contributor to 538 where she brings clarity to areas of interest to parents, pregnant woman, and the general public where empirical research is conflicting or difficult to interpret. She is also the author of the popular new

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Repost: Statistical illiteracy may lead to parents panicking about Autism

December 18, 2014
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Editor's Note: This is a repost of a previous post on our blog from 2012. The repost is inspired by similar issues with statistical illiteracy that are coming up in allergy screening and pregnancy screening.  I just was doing my morning reading of a few news sources and stumbled across this Huffington Post article talking about

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A non-comprehensive list of awesome things other people did in 2014

December 17, 2014
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A non-comprehensive list of awesome things other people did in 2014

Editor's Note: Last year I made a list off the top of my head of awesome things other people did. I loved doing it so much that I'm doing it again for 2014. Like last year, I have surely missed awesome things people have done. If you know of some, you should make your own list or

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Sunday data/statistics link roundup (12/14/14)

December 14, 2014
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A very brief analysis suggests that economists are impartial when it comes to their liberal/conservative views. That being said, I'm not sure the regression line says what they think it does, particularly if you pay attention to the variance around the line (via Rafa). I am digging the simplicity of charted.co from the folks at Medium.

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Sunday data/statistics link roundup (12/7/14)

December 7, 2014
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A randomized controlled trial shows that using conversation to detect suspicious behavior is much more effective then just monitoring body language (via Ann L. on Twitter). This comes as a crushing blow to those of us who enjoyed the now-cancelled Lie to Me and assumed it was all real. Check out this awesome real-time visualization of

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Interview with Cole Trapnell of UW Genome Sciences

December 5, 2014
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Interview with Cole Trapnell of UW Genome Sciences

Cole Trapnell is an Assistant Professor of Genome Sciences at the University of Washington. He is the developer of multiple incredibly widely used tools for genomics including Tophat, Cufflinks, and Monocle. His lab at UW studies cell differentiation, reprogramming, and other transitions between stable or metastable cellular states using a combination of computational and experimental techniques.

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Repost: A deterministic statistical machine

December 4, 2014
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Editor's note: This is a repost of our previous post about deterministic statistical machines. It is inspired by the recent announcement that the Automatic Statistician received funding from Google. In 2012 we also applied to Google for a small research award to study this same problem, but didn't get it. In the interest of extreme openness

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Sunday data/statistics link roundup (11/9/14)

November 10, 2014
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So I'm a day late, but you know, I got a new kid and stuff... The New Yorker hating on MOOCs, they mention all the usual stuff. Including the really poorly designed San Jose State experiment. I think this deserves a longer post, but this is definitely a case where people are looking at MOOCs

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Time varying causality in n=1 experiments with applications to newborn care

November 5, 2014
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Time varying causality in n=1 experiments with applications to newborn care

We just had our second son about a week ago and I've been hanging out at home with him and the rest of my family. It has reminded me of a few things from when we had our first son. First, newborns are tiny and super-duper adorable. Second, daylight savings time means gaining an extra hour

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Sunday data/statistics link roundup (11/2/14)

November 3, 2014
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Better late than never! If you have something cool to share, please continue to email it to me with subject line "Sunday links". A DrivenData is a Kaggle-like site but for social good. I like the principle of using data for societal benefit, since there are so many ways it seems to be used for nefarious purposes

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