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Archive of posts filed under the Zombies category.

Three ways to present a probability forecast, and I only like one of them

To the nearest 10%: To the nearest 1%: To the nearest 0.1%: I think the National Weather Service knows what they’re doing on this one.

The Fault in Our Stars: It’s even worse than they say

In our recent discussion of publication bias, a commenter link to a recent paper, “Star Wars: The Empirics Strike Back,” by Abel Brodeur, Mathias Le, Marc Sangnier, Yanos Zylberberg, who point to the notorious overrepresentation in scientific publications of p-values that are just below 0.05 (that is, just barely statistically significant at the conventional level) […]

I didn’t say that! Part 2

Uh oh, this is getting kinda embarrassing. The Garden of Forking Paths paper, by Eric Loken and myself, just appeared in American Scientist. Here’s our manuscript version (“The garden of forking paths: Why multiple comparisons can be a problem, even when there is no ‘fishing expedition’ or ‘p-hacking’ and the research hypothesis was posited ahead […]

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 […]

“Illinois chancellor who fired Salaita accused of serial self-plagiarism.”

I came across a couple of stories today that made me wonder how much we can learn from a scholar’s professional misconduct. The first was a review by Kimberle Crenshaw of a book by Joan Biskupic about Supreme Court judge Sonia Sotomayor. Crenshaw makes the interesting point that Sotomayor, like many political appointees of the […]

Rational != Self-interested

I’ve said it before (along with Aaron Edlin and Noah Kaplan) and I’ll say it again. Rationality and self-interest are two dimensions of behavior. An action can be: 1. Rational and self-interested 2. Irrational and self-interested 3. Rational and altruistic 4. Irrational and altruistic. It’s easy enough to come up with examples of all of […]

Carrie McLaren was way out in front of the anti-Gladwell bandwagon

Here she was back in 2005, way before Gladwell-bashing became cool.

Some general principles of Bayesian data analysis, arising from a Stan analysis of John Lee Anderson’s height

God is in every leaf of every tree. The leaf in question today is the height of journalist and Twitter aficionado Jon Lee Anderson, a man who got some attention a couple years ago after disparaging some dude for having too high a tweets-to-followers ratio. Anderson called the other guy a “little twerp” which made […]

People used to send me ugly graphs, now I get these things

Antonio Rinaldi points me to this journal article which reports: We found a sinusoidal pattern in CMM [cutaneous malignant melanoma] risk by season of birth (P = 0.006). . . . Adjusted odds ratios for CMM by season of birth were 1.21 [95% confidence interval (CI), 1.05–1.39; P = 0.008] for spring, 1.07 (95% CI, […]

“An exact fishy test”

Macartan Humphreys supplied this amusing demo. Just click on the link and try it—it’s fun! Here’s an example: I came up with 10 random numbers: > round(.5+runif(10)*100) [1] 56 23 70 83 29 74 23 91 25 89 and entered them into Macartan’s app, which promptly responded: Unbelievable! You chose the numbers 56 23 70 […]