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Archive of posts filed under the Political Science category.

The health policy innovation center: how best to move from pilot studies to large-scale practice?

A colleague pointed me to this news article regarding evaluation of new health plans: The Affordable Care Act would fund a new research outfit evocatively named the Innovation Center to discover how to most effectively deliver health care, with $10 billion to spend over a decade. But now that the center has gotten started, many […]

Yummy Mr. P!

Chris Skovron writes: A colleague sent the attached image from Indonesia. For whatever reason, it seems appropriate that Mr. P is a delicious salty snack with the tagline “good times.” Indeed. MRP has made the New York Times and Indonesian snack food. What more can we ask for?

A linguist has a question about sampling when the goal is causal inference from observational data

Nate Delaney-Busch writes: I’m a PhD student of cognitive neuroscience at Tufts, and a question came recently with my colleagues about the difficulty of random sampling in cases of highly controlled stimulus sets, and I thought I would drop a line to see if you had any reading suggestions for us. Let’s say I wanted […]

Skepticism about a published claim regarding income inequality and happiness

Frank de Libero writes: I read your Chance article (disproving that no one reads Chance!) re communicating about flawed psychological research. And I know from your other writings of your continuing good fight against misleading quantitative work. I think you and your students might be interested on my recent critique of a 2011 paper published […]

Chicago alert: Mister P and Stan to be interviewed on WBEZ today (Fri) 3:15pm

Niala Boodho on the Afternoon Shift will be interviewing Yair and me about our age-period-cohort extravaganza which became widely-known after being featured in this cool interactive graph by Amanda Cox in the New York Times. And here’s the interview. The actual paper is called The Great Society, Reagan’s revolution, and generations of presidential voting and […]

Ma conférence 11 h, lundi 23 juin à l’Université Paris Dauphine

Les coalitions, le pouvoir des électeurs, et l’instabilité politique: Coalitions are central to politics, at all levels. We discuss some mathematical results relating to the stability of coalitions and the probability of a decisive vote, with connections to the prisoner’s dilemma, agent-based modeling, and probability distributions on trees. Our empirical analysis suggests that the votes […]

Kristof/Brooks update: NYT columnists correct their mistakes!

Who will issue a correction first? Nicholas Kristof, who uncritically cited the hurricane/himmicane paper which appeared in the prestigious Proceedings of the National Academy of Sciences but then was debunked in a stunning round of post-publication review? David Brooks, who botched some historical economic statistics and, in an unrelated incident, uncritically cited some education statistics […]

Avoiding false parallelism in a graph

“False parallelism”—feel free to come up with a better term here—is when a graph has repeating elements that do not correspond to repeating structure in the underlying topic being graphed. An example appears in the above graphs from Dan Kahan. The content of the graphs is fine (and, more generally, I think he’s making an […]

DataKind Opportunity Analyst Job Opening

Jake Porway writes: DataKind is looking for a brilliant part-time Opportunity Analyst to find data-informed solutions to the world’s most pressing problems with our NYC team! We’re a fast growing non-profit that tackles humanity’s biggest problems through data science. . . . We’ve helped the World Bank estimate poverty from satellite imagery, teamed with the […]

Combining forecasts: Evidence on the relative accuracy of the simple average and Bayesian model averaging for predicting social science problems

Andreas Graefe sends along this paper (with Helmut Kuchenhoff, Veronika Stierle, and Bernhard Riedl) and writes: We summarize prior evidence from the field of economic forecasting and find that the simple average was more accurate than Bayesian model averaging in three of four studies; on average, the error of BMA was 6% higher than the […]