Category: Miscellaneous Science

Surprise-hacking: “the narrative of blindness and illusion sells, and therefore continues to be the central thesis of popular books written by psychologists and cognitive scientists”

by Andrew

Teppo Felin sends along this article with Mia Felin, Joachim Krueger, and Jan Koenderink on “surprise-hacking,” and writes: We essentially see surprise-hacking as the upstream, theoretical cousin of p-hacking. Though, surprise-hacking can’t be resolved with replication, more data or preregistration. We use perception and priming research to make these points (linking to Kahneman and priming, […]

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Surprise-hacking: “the narrative of blindness and illusion sells, and therefore continues to be the central thesis of popular books written by psychologists and cognitive scientists”

by Andrew

A couple of thoughts regarding the hot hand fallacy fallacy

by Andrew

For many years we all believed the hot hand was a fallacy. It turns out we were all wrong. Fine. Such reversals happen. Anyway, now that we know the score, we can reflect on some of the cognitive biases that led us to stick with the “hot hand fallacy” story for so long. Jason Collins […]

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A couple of thoughts regarding the hot hand fallacy fallacy

by Andrew

The post A couple of thoughts regarding the hot hand fallacy fallacy appeared first on Statistical Modeling, Causal Inference, and Social Science.

Oh, I hate it when work is criticized (or, in this case, fails in attempted replications) and then the original researchers don’t even consider the possibility that maybe in their original work they were inadvertently just finding patterns in noise.

by Andrew

I have a sad story for you today. Jason Collins tells it: In The (Honest) Truth About Dishonesty, Dan Ariely describes an experiment to determine how much people cheat . . . The question then becomes how to reduce cheating. Ariely describes one idea: We took a group of 450 participants and split them into […]

The post Oh, I hate it when work is criticized (or, in this case, fails in attempted replications) and then the original researchers don’t even consider the possibility that maybe in their original work they were inadvertently just finding patterns in noise. appeared first on Statistical Modeling, Causal Inference, and Social Science.

Oh, I hate it when work is criticized (or, in this case, fails in attempted replications) and then the original researchers don’t even consider the possibility that maybe in their original work they were inadvertently just finding patterns in noise.

by Andrew

My footnote about global warming

by Andrew

At the beginning of my article, How to think scientifically about scientists’ proposals for fixing science, which we discussed yesterday, I wrote: Science is in crisis. Any doubt about this status has surely been been dispelled by the loud assurances to the contrary by various authority figures who are deeply invested in the current system […]

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My footnote about global warming

by Andrew

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Bayes, statistics, and reproducibility: “Many serious problems with statistics in practice arise from Bayesian inference that is not Bayesian enough, or frequentist evaluation that is not frequentist enough, in both cases using replication distributions that do not make scientific sense or do not reflect the actual procedures being performed on the data.”

by Andrew

This is an abstract I wrote for a talk I didn’t end up giving. (The conference conflicted with something else I had to do that week.) But I thought it might interest some of you, so here it is: Bayes, statistics, and reproducibility The two central ideas in the foundations of statistics—Bayesian inference and frequentist […]

The post Bayes, statistics, and reproducibility: “Many serious problems with statistics in practice arise from Bayesian inference that is not Bayesian enough, or frequentist evaluation that is not frequentist enough, in both cases using replication distributions that do not make scientific sense or do not reflect the actual procedures being performed on the data.” appeared first on Statistical Modeling, Causal Inference, and Social Science.

Bayes, statistics, and reproducibility: “Many serious problems with statistics in practice arise from Bayesian inference that is not Bayesian enough, or frequentist evaluation that is not frequentist enough, in both cases using replication distributions that do not make scientific sense or do not reflect the actual procedures being performed on the data.”

by Andrew

My talk tomorrow (Tues) noon at the Princeton University Psychology Department

by Andrew

Integrating collection, analysis, and interpretation of data in social and behavioral research Andrew Gelman, Department of Statistics and Department of Political Science, Columbia University The replication crisis has made us increasingly aware of the flaws of conventional statistical reasoning based on hypothesis testing. The problem is not just a technical issue with p-values, not can […]

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My talk tomorrow (Tues) noon at the Princeton University Psychology Department

by Andrew

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The p-value is 4.76×10^−264

by Andrew

Jerrod Anderson points us to Table 1 of this paper: It seems that the null hypothesis that this particular group of men and this particular group of women are random samples from the same population, is false. Good to know. For a moment there I was worried. On the plus side, as Anderson notes, the […]

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“James Watson in his own words”

by Andrew

Here are some thoughts from the noted biologist and writer, collected by Lior Pachter.
I’d seen a few of these Watson quotes before, but it’s kinda stunning to see them all in one place. Apparently he recommends never adopting an Irish kid…

“And when you did you weren’t much use, you didn’t even know what a peptide was”

by Andrew

Last year we discussed the story of an article, “Variation in the β-endorphin, oxytocin, and dopamine receptor genes is associated with different dimensions of human sociality,” published in PNAS that, notoriously, misidentified what a peptide was, among other problems. Recently I learned of a letter published in PNAS by Patrick Jern, Karin Verweij, Fiona Barlow, […]

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Hey! There are mathematicians out there who’ve never read Proofs and Refutations. Whassup with that??

by Andrew

I ran into a colleague the other day who’d never read Proofs and Refutations (full title: Proofs and Refutations: The Logic of Mathematical Discovery). He’d never even heard of it!
The post Hey! There are mathematicians out there who&#82…

“Law professor Alan Dershowitz’s new book claims that political differences have lately been criminalized in the United States. He has it wrong. Instead, the orderly enforcement of the law has, ludicrously, been framed as political.”

by Andrew

This op-ed by Virginia Heffernan is about g=politics, but it reminded me of the politics of science. Heffernan starts with the background: This last year has been a crash course in startlingly brutal abuses of power. For decades, it seems, a caste of self-styled overmen has felt liberated to commit misdeeds with impunity: ethical, sexual, […]

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Melanie Miller says, “As someone who has worked in A.I. for decades, I’ve witnessed the failure of similar predictions of imminent human-level A.I., and I’m certain these latest forecasts will fall short as well. “

by Bob Carpenter

Melanie Miller‘s piece, Artificial Intelligence Hits the Barrier of Meaning (NY Times behind limited paywall), is spot-on regarding the hype surrounding the current A.I. boom. It’s soon to come out in book length from FSG, so I suspect I’ll hear about it again in the New Yorker. Like Professor Miller, I started my Ph.D. at […]

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My two talks in Austria next week, on two of your favorite topics!

by Andrew

Innsbruck, 7 Nov 2018: The study of American politics as a window into understanding uncertainty in science We begin by discussing recent American elections in the context of political polarization, and we consider similarities and differences with European politics. We then discuss statistical challenges in the measurement of public opinion: inference from opinion polls with […]

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Facial feedback: “These findings suggest that minute differences in the experimental protocol might lead to theoretically meaningful changes in the outcomes.”

by Andrew

Fritz Strack points us to this article, “When Both the Original Study and Its Failed Replication Are Correct: Feeling Observed Eliminates the Facial-Feedback Effect,” by Tom Noah, Yaacov Schul, and Ruth Mayo, who write: According to the facial-feedback hypothesis, the facial activity associated with particular emotional expressions can influence people’s affective experiences. Recently, a replication […]

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