My online talk this Friday noon for the Political Methods Colloquium: The Statistical Crisis in Science

Justin Esarey writes:

This Friday, October 14th at noon Eastern time, the International Methods Colloquium will inaugurate its Fall 2016 series of talks with a presentation by Andrew Gelman of Columbia University. Professor Gelman’s presentation is titled “The Statistical Crisis in Science.” The presentation will draw on these two papers:

“Beyond Power Calculations: Assessing Type S (Sign) and Type M (Magnitude) Errors”
http://www.stat.columbia.edu/~gelman/research/published/retropower_final.pdf

“Disagreements about the Strength of Evidence”
http://www.stat.columbia.edu/~gelman/research/published/ChanceEthics12.pdf

To tune in to the presentation and participate in the discussion after the talk, visit http://www.methods-colloquium.com/ and click “Watch Now!” on the day of the talk. To register for the talk in advance, click here:

https://riceuniversity.zoom.us/webinar/register/6272124085322b4fdc2040ba88984b7b

The IMC uses Zoom, which is free to use for listeners and works on PCs, Macs, and iOS and Android tablets and phones. You can be a part of the talk from anywhere around the world with access to the Internet. The presentation and Q&A will last for a total of one hour.

A webinar isn’t as much fun as a live talk, but you can feel free to check this one out. According to Justin, it’s open to all and there will be lots of time for questions.

1 thought on “My online talk this Friday noon for the Political Methods Colloquium: The Statistical Crisis in Science

  1. Prof. Gelman,

    I enjoyed the talk you gave the other day. I did have a follow-up question that there wasn’t time to answer.

    You indicated something to the effect of rather than studying voting preferences and ovulations that the researchers should be attempting to study many things at once. I’m just wondering if you could clarify that a bit. I’d think where researchers have found interaction effects that appear all too conveniently when the original study doesn’t replicate that one might argue by adding in interactions, etc. that these researchers might reasonably believe they are studying many things at once. It sounded to me like you would not consider adding in additional variables to be the same as studying many things at once. Am I mistaken? And if not, what might the studying many things at once that you refer to look like? Thanks!

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