Quentin André

Quentin André

@quentinandre.bsky.social

Assistant Prof. of Marketing @ CU Boulder. Open science, research methods, managerial and numerical cognition. ❤️Python 🐍.

908 followers405 following208 posts

Super interesting results and exciting paradigm!

Tanay Katiyar@adigitaltanay.bsky.social

Does spreading mental health awareness online amplify self-diagnosis? In my first PhD pre-print, I empirically examine this question (n =3392) with some kick-ass collaborators and tools from cultural evolution A 🧵

Quentin André reposted

It really is amazing how researchers and journal editors will avoid showing even the most basic courtesy or gratitude to sleuths who point out errors in their work. I get that it's embarrassing, but guess what: that sleuth has read your work more closely than anyone else ever will! For free!

ALL the papers from Michael Golding's lab cited in this piece (the scientist claiming a causal impact of paternal alcohol consumption on fetal outcomes) suffer from pseudoreplication issues. Treatment administered on sires, analysis conducted on pups without random effects.

Quentin André@quentinandre.bsky.social

Any statistican who has seen this before (insanely small p-values with small N) knows the most likely culprit: "Pseudoreplication", when non-independent observations are analyzed as if they were independent. Claude Opus 4.8 provides an exellent summary of the issue. 5/N

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People are inundated with restrictive and contradictory health recommendations. Trust in public health is plummeting. So when you are writing about health and medicine, you have a unique responsibility to get things right. 11/N

My unsolicited advice to writers and journalists: Next time you interview a scientist about their groundbreaking, "challenge-all-common-wisdom" finding, seek a dissenting perspective. Ask others for their honest, unfiltered opinion on the paper. We will all be better off. 12/12

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Finally, back to the sample size issue: The authors state Control and Low were topped up from "a separate experimental cohort." Why? They don't tell. How do they account for this in their analysis? They don't. 9/N

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But then they conduct statistical test of differences between groups on these scores! That's right: They tests for group differences *on variables that were constructed to maximize group differences*! No wonder they report p-values not even found in high-energy physics. 7/N

Again, you don't need to be a statistical genius to figure out that a degree of separation like this can only emerge from a procedure that AIMS at maximizing separation. Completely circular reasoning. 8/N

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Any statistican who has seen this before (insanely small p-values with small N) knows the most likely culprit: "Pseudoreplication", when non-independent observations are analyzed as if they were independent. Claude Opus 4.8 provides an exellent summary of the issue. 5/N

There's more! How did the researchers calculate the "morphological differences"? They used something called "canonical variate analysis", a statistical technique that identify axes that *maximize the separation between groups*, and returns a separation score on these axes. 6/N

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This is expected with such low power: There are 8 sires in Low, 4 in Medium, 4 in High (yes, cells are imbalanced. I'll come back to this). Now, with such low power to detect the impact of the *manipulation*, you'd expect even less power to detect downstream effects. 3/N

Yet the effects on morphological differences are HUGE. I'm talking p = 2.1 × 10⁻⁵⁴. This alone should raise a giant red flag: How can the downstream effects of alcohol availability be several dozens of magnitudes larger than the upstream effects? 4/N

... have them sire offsprings, and measure the craniofacial features of the fetuses. Now, I don't know much about animal studies or biology, but I know about statistics and experimental design... and after spending five minutes on the paper, I could identify MANY issues. 2/N

Let's start with the effect size. This figures shows the "manipulation check": The dose of ethanol consumed by the sire. As you can see, the direction is as expected, but the intermediary contrasts (low vs. medium, medium vs. high) barely cross the .05 threshold.

HBS' latest filing in the Gino lawsuit contains a few new details: 1. A committee of 26 professors, admins, and fellows reviewed the allegations, and *unanimously concluded* that there was *clear and convincing evidence* of research misconduct.

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She also refused to deny or admit that the file had been backdated by her or someone else. 4. She provided no evidence of sex-based discrimination. She only cites a private statement from her friend Gary Pisano... who later testified he couldn't identify any evidence of bias.

What next? HBS is, on the basis of these claims, filing for summary judgment: Asking the judge to rule on the available, rather than proceeding with a jury trial. Gino now has a month to respond to these claims.

HBS' latest filing in the Gino lawsuit contains a few new details: 1. A committee of 26 professors, admins, and fellows reviewed the allegations, and *unanimously concluded* that there was *clear and convincing evidence* of research misconduct.

2. Contrary to Gino's argument that she was outlawyered and limited to two advisors, HBS says that she was, from the beginning, assisted by a team of attorneys "experienced in representing respondents in research misconduct cases".

3. Gino admitted that she had made claims about an "exonerating file"... but then refused to admit or deny basic facts about that file, including whether it is in her possession. Yes, the very file that, according to Lawrence Lessig's podcast, "exonerates her" and that "HBS missed".

Hallucinate cites? Claims that contradict the content of the paper? Conspiratorial tone implying her program of research was silenced by shadow forces? Loose understanding of statistics? How can a rigorous scientist show such lapses in judgment? Unless...

Daniel Lakens@lakens.bsky.social

New blog post: Evaluating Dr. Cuddy’s Claim that the Debunking of Power Posing is a Myth. daniellakens.blogspot.com/2026/05/eval... On an AI generated description of a non-existent study, incorrectly citing findings from studies, and the importance of scientific criticism.

quentinandre.netIncreasing the Informativeness of Power Analysis | Quentin AndréIf power analysis cannot be based on the expected effect size, what should it be based on?
Gordon Pennycook@gordpennycook.bsky.social

My own take on power analyses: I'm good with "we had xx power to detect effects as big as xx" but find "we made a pseudo-random guess about an effect size & determined that we need a sample of N=[some highly specific number]" to be too close to cosplay for me.

Quentin André reposted

excellent piece, and should be required reading for anyone skeptical of the technical capabilities and policy implications of AI. there are certainly exceptions, but by and large, the political left is currently treating what should be a five-alarm fire like a distasteful spectator sport.

transformernews.aiThe left is missing out on AIAs a movement, it has largely refused to engage seriously with AI, ceding debate about a threat and opportunity to the right

Very important paper, both empirically (for our understanding of human behavior) and methodologicaly (for our future inquiries into human behavior).

sjdm-tweets@sjdm-tweets.bsky.social

Today's SJDM Featured Paper is: Dietvorst, B. J. (in press). Understanding people's preferences for predictions: People prioritize being right over minimizing how wrong they are in expectation. Management Science. doi.org/10.1287/mnsc...

After a popular psychological manipulation turns out to be non-replicable (e.g., "in a seemingly unrelated task" behavioral priming interventions), it is always fun to go back and find the papers who reported "p < 10e-8" effects. No, wait, it's not fun actually.

This hasn't received much attention, but it looks like scammers also hacked into Francesca Gino's MTurk account, and asked MTurkers to buy her book Rebel Talent to boost the first-week sales of the book. Poor lady cannot catch a break. (links in comments)

Quentin André reposted

Replying to @miriamposner.com

An LLM-produced essay is tangible proof that a student doesn’t care, and yet responding to it properly requires hour upon hour of careful work. It’s asymmetrical and overwhelming.

Quentin André reposted

Cheating with an LLM is the easiest thing in the world for a student to do, but it creates a massive, laborious headache for a prof, if you intend to take it seriously. There’s meetings, emails, discussions, moral dilemmas. It’s just incredibly burdensome, on top of everything else right now.

Corinne Gressang@corinnegressang.bsky.social

I had 9 meetings about students using Chat GPT/LLMs on their papers today. If you want to know why professors burn out, ask anyone trying to teach critical thinking and writing skills to Freshmen....

Wait until you learn about common ways of doing segmentation analysis in marketing. "Yeah, we ran a K-means algorithm, gave each cluster a cute name and a persona, and now we're making every decision based on whether Pumpkin-Spice Peggy or Truck-Nut Terry will like it".

Julia M. Rohrer@dingdingpeng.the100.ci

It’s astonishing how many researchers seem to believe that a cluster analysis is such a sensible analysis that it needn’t even be justified through a coherent research question. Just cluster analysis go brrrrr