Columbia Data Science Institute art contest

This is a great idea! Unfortunately, only students at Columbia can submit. I encourage other institutions to do such contests too. We did something similar at Columbia, maybe 10 or 15 years ago? It went well, we just didn’t have the energy to do it again every year, as we’d initially planned. So I’m very […]

The post Columbia Data Science Institute art contest appeared first on Statistical Modeling, Causal Inference, and Social Science.

Excursion 1 Tour I (3rd stop): The Current State of Play in Statistical Foundations: A View From a Hot-Air Balloon (1.3)

How can a discipline, central to science and to critical thinking, have two methodologies, two logics, two approaches that frequently give substantively different answers to the same problems? … Is complacency in the face of contradiction acceptable for a central discipline of science? (Donald Fraser 2011, p. 329) We [statisticians] are not blameless … we […]

High-profile statistical errors occur in the physical sciences too, it’s not just a problem in social science.

In an email with subject line, “Article full of forking paths,” John Williams writes: I thought you might be interested in this article by John Sabo et al., which was the cover article for the Dec. 8 issue of Science. The article is dumb in various ways, some of which are described in the technical […]

The post High-profile statistical errors occur in the physical sciences too, it’s not just a problem in social science. appeared first on Statistical Modeling, Causal Inference, and Social Science.

Echo Chamber Incites Online Mob to Attack Math Profs

The story starts as follows: There’s evidence for greater variability in the distribution of men, compared to women, in various domains. Two math professors, Theodore Hill and Sergei Tabachnikov, wrote an article exploring a mathematical model for the evolution of this difference in variation, and send the article to the Mathematical Intelligencer, a magazine that […]

The post Echo Chamber Incites Online Mob to Attack Math Profs appeared first on Statistical Modeling, Causal Inference, and Social Science.

N=1 survey tells me Cynthia Nixon will lose by a lot (no joke)

Yes, you can learn a lot from N=1, as long as you have some auxiliary information. The other day I was talking with a friend who’s planning to vote for Andrew Cuomo in the primary. What about Cynthia Nixon? My friend wasn’t even considering voting for her. Now, my friend is, I think, in the […]

The post N=1 survey tells me Cynthia Nixon will lose by a lot (no joke) appeared first on Statistical Modeling, Causal Inference, and Social Science.

Discussion of effects of growth mindset: Let’s not demand unrealistic effect sizes.

Shreeharsh Kelkar writes: As a regular reader of your blog, I wanted to ask you if you had taken a look at the recent debate about growth mindset [see earlier discussions here and here] that happened on theconversation.com. Here’s the first salvo by Brooke McNamara, and then the response by Carol Dweck herself. The debate […]

The post Discussion of effects of growth mindset: Let’s not demand unrealistic effect sizes. appeared first on Statistical Modeling, Causal Inference, and Social Science.