Andres Montealegre
@andresm.bsky.social
660 followers 610 following 36 posts
Postdoc at Yale School of Management, interested in judgment and decision-making, research methods, and movies. http://andres-montealegre.com/
Posts Media Videos Starter Packs
Reposted by Andres Montealegre
datacolada.bsky.social
Would p-curve work if you dropped a piano on it?
datacolada.org/129
PIano being dropped on car in car testing facility
andresm.bsky.social
Completely agree. Averages can hide weird patterns. We make a related point about stimuli in psych experiments and propose a visualization here: psycnet.apa.org/record/2026-... (or datacolada.org/126 for a summary)
APA PsycNet
psycnet.apa.org
Reposted by Andres Montealegre
datacolada.bsky.social
Colada[128] The Best Audit Study and its interesting shortcoming
datacolada.org/128
Reposted by Andres Montealegre
andresm.bsky.social
In those cases, it can feel like the kind thing to do is to either not mention them at all or to soften them so much that they become obscured. And that’s where I think there is an inevitable tension between kindness and truth-seeking
andresm.bsky.social
I largely agree with this, and I think it’s something that some critically minded people tend to underweigh. The biggest challenge in practice, I think, is that certain criticisms-no matter how carefully you frame them-will still be perceived as unkind
Reposted by Andres Montealegre
andresm.bsky.social
Same (except with base r). I find it quite enjoyable, and it has made me more fastidious with figures.
andresm.bsky.social
It could work. I'm particularly interested in confounds and causal identification, because so called 'conservative confounds' could create other unintended problems. But my concern might apply to this as well.
andresm.bsky.social
Interesting, I was thinking about this in the context of causal identification rather than statistical significance. I was curious about counterarguments like "what seems like a 'conservative confound' that goes against the observed effect may actually change how the other mechanisms work."
andresm.bsky.social
Does anybody know of a paper or blog discussing arguments of the form "we found our results despite this confound that works against our effect"? Essentially, how to think about confounds that go against the hypothesized or observed effect.
Reposted by Andres Montealegre
ikesilver.bsky.social
Really proud of this new work out @psychscience.bsky.social. Led by the amazing but bluesky-less Amanda Geiser and with @deborahsmall.bsky.social.

We show that when comparing moral wrongs, people are (much) more willing to “scale up” than to “scale down” condemnation and punishment…
Reposted by Andres Montealegre
einsteinberlin.bsky.social
🏆 Research integrity consultant and image forensics expert @elisabethbik.bsky.social has uncovered fraudulent data in over 7,600 scientific papers and exposed the practices of ‘paper mills’ that produce counterfeit scientific articles. She is honoured with the €200K Individual Award. Congrats!
Reposted by Andres Montealegre
Reposted by Andres Montealegre
mnolangray.bsky.social
Today in @worksinprogress.bsky.social, I reflect on Donald Shoup's legacy. Perhaps the most interesting question: how did the most unlikely professor kick off an international parking reform movement?
substack.com/home/post/p-...
The prophet of parking
A eulogy for the great Donald Shoup
substack.com
Reposted by Andres Montealegre
geowu.bsky.social
A new working paper with Daniel Banki, @urisohn.bsky.social and Robert Walatka, just submitted to SSRN.

The paper is comment on Ryan Oprea's recent AER paper.

The paper is processing, but you, my friends, get early entry.

papers.ssrn.com/sol3/papers....
Title Authors Abstract (Decision under Risk are Decisions Under Complexity: Comment)
andresm.bsky.social
Yeah, I have a different read of the evidence that aligns more with this (parentdata.org/alcohol-and-...) and hence why I find the causality statement too strong. But we can agree to disagree. Thanks for engaging.
Alcohol and Health
Cutting through the noise
parentdata.org
andresm.bsky.social
Thanks! Though given the absence of causal evidence in humans, I’m not sure I would refer to this as causal. The key issue of what level of dosage is harmful in humans is particularly hard to learn from observational studies.