(This article was originally published at Statistical Modeling, Causal Inference, and Social Science, and syndicated at StatsBlogs.)

Judea Pearl writes:

Can you post the announcement below on your blog? And, by all means, if you find heresy in my interview with Ron Wasserstein, feel free to criticize it with your readers.

I responded that I’m not religious, so he’ll have to look for someone else if he’s looking for findings of heresy. I did, however, want to share his announcement:

The American Statistical Association has announced a new Prize, “Causality in Statistics Education”, aimed to encourage the teaching of basic causal inference in introductory statistics courses.

The motivations for the prize are discussed in an interview I [Pearl] gave to Ron Wasserstein. I hope readers of this list will participate, either by innovating new tools for teaching causation or by nominating candidates who deserve the prize.

And speaking about education, Bryant and I [Pearl] have revised our survey of econometrics textbooks, and would love to hear your suggestions on how to restore causal inference to econometrics education. [I'm confused on that last point; I thought that causality was central to econometrics; see, for example, Angrist and Pischke's book. --- AG]

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