10th anniversary of “Statistical Modeling, Causal Inference, and Social Science”

Richard Morey pointed out the other day that this blog is 10 years old!

During this time, we’ve had 5688 posts, 48799 comments, and who knows how many readers.

On this tenth anniversary, I’d like to thank my collaborators on all the work I’ve blogged, my co-bloggers (“This post is by Phil”), our commenters, Alex Tabarrok for linking to us way back when, and also the many many people who’ve sent me links to interesting research, interesting graphs, bad research, bad graphs, and links to the latest stylings of David Brooks and Satoshi Kanazawa.

It’s been fun, and I think this blog has been (and I hope will remain) an excellent communication channel on all sorts of topics, statistical and otherwise. Through the blog I’ve met friends, colleagues, and collaborators—including some such as Basbøll and Palko whom I’ve still not yet met!—; I’ve been motivated to think hard about ideas that I otherwise would’ve encountered; and I’m pretty sure I’ve motivated many people to examine ideas that they otherwise would not have thought seriously about.

The blog has been enlivened with a large and continuing cast of characters, including lots of “bad guys” such as . . . well, no need to list these people here. It’s enough to say they’ve provided us with plenty of entertainment and food for thought.

We’ve had some epic comment threads and enough repeating topics that we had to introduce the Zombies category. We’ve had comments or reactions from culture heroes including Gerd Gigerenzer, Judea Pearl, Helen DeWitt, and maybe even Scott Adams (but we can’t be sure about that last one). We’ve had fruitful exchanges with other researchers such as Christian Robert, Deborah Mayo, and Dan Kahan who have blogs of their own, and, several years back, we launched the internet career of the late Seth Roberts.

Here are the titles of the first five posts from our blog (in order):

A weblog for research in statistical modeling and applications, especially in social sciences

The Electoral College favors voters in small states

Why it’s rational to vote

Bayes and Popper

Overrepresentation of small states/provinces, and the USA Today effect

As you can see, some of our recurrent themes showed up early on.

Here are the next five:

Sensitivity Analysis of Joanna Shepherd’s DP paper

Unequal representation: comments from David Samuels

Problems with Heterogeneous Choice Models

Morris Fiorina on C-SPAN

A fun demo for statistics class

And the ten after that:

Red State/Blue State Paradox

Statistical issues in modeling social space

2 Stage Least Squares Regression for Death Penalty Analysis

Partial pooling of interactions

Bayesian Methods for Variable Selection

Reference for variable selection

The blessing of dimensionality

Why poll numbers keep hopping around by Philip Meyer

Matching, regression, interactions, and robustness

Homer Simpson and mixture models

(Not all these posts are by me.)

See you again in 2024!

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