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Jérémie Beucler

@jeremiebeucler.bsky.social
216 followers 585 following 96 posts

PhD with Wim De Neys, Zoe Purcell & Lucie Charles at UPC/CNRS, Paris Reasoning | Cognitive Biases | Metacognition | CompModeling jeremie-beucler.github.io

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Reposted by Jérémie Beucler
Christoph Strauch @cstrauch.bsky.social · 02/10/2026
How much of a risk are LLM-generated bots for online behavioral experiments? We present results of an entirely natural language prompt-generated agent, capable of absolving any of the 26 experiments we tested it on. Most tasks are passed with data that can pass as human osf.io/preprints/ps... (1/)
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Caroline Pioger @carolinepioger.bsky.social · 29/09/2026
🚨 New preprint! Public debate on decarbonization often rests on inaccurate beliefs about energy sources. We tested whether a reinforcement-learning-based intervention can correct them. 🧵👇 📄 Preprint: zenodo.org/records/2303...
zenodo.org
Correcting misconceptions and shaping preferences about energy with reinforcement learning
Addressing the climate crisis requires citizens to make informed choices about sustainable energy policy, yet public debates are often shaped by inaccurate beliefs about the environmental and health i...
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Kobe Desender @kobedesender.bsky.social · 30/09/2026
"A single evidence accumulation process informs perceptual choices and subsequent confidence reports"! Reviewed Preprint at @elife.bsky.social led by @johnpgrogan1.bsky.social , @lucvermeylen.bsky.social, @redmondoconnell.bsky.social, and others PDF: elifesciences.org/reviewed-pre... Thread ↓↓↓
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Kobe Desender @kobedesender.bsky.social · 29/09/2026
"Adaptive Regulation of Confidence Following Metacognitive Conflict: Evidence From Behavior and Computational Modeling"! Now out in #JEPGeneral led by @jintaoxing.bsky.social @stefherregods.bsky.social @lucvermeylen.bsky.social and me. PDF: desenderlab.com/wp-content/u.... "Conflicting" Thread ↓↓↓
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Kobe Desender @kobedesender.bsky.social · 29/09/2026
"Trial-by-trial fluctuations in decision criterion shape confidence"! Now out in @nathumbehav.nature.com led by Robin Vloeberghs, Lara Navarette, @anne-urai.bsky.social and me. PDF: desenderlab.com/wp-content/u... Fluctuating Thread ↓↓↓
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Jérémie Beucler @jeremiebeucler.bsky.social · 22/09/2026
1/15 What do we actually do when we deliberate, and how does it change over time? New preprint with @wimdeneys.bsky.social : "Rhythm of Thought: Tracing the Dynamics of Deliberation in Reasoning". 🔗 doi.org/10.31234/osf... (yes, I like flashy titles 💅) A 🧵👇
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Rhythm of Thought: Tracing the Dynamics of Deliberation in Reasoning
Jérémie Beucler a,* and Wim De Neys a

a LaPsyDÉ, CNRS, Université Paris Cité, F-75005 Paris, France

Abstract

When an intuitive answer is uncertain, people are thought to engage in further reasoning. But what people actually do during this additional thinking, how it unfolds over time, and why it sometimes leads to better answers remain unclear. We scored think-aloud protocols with large language models to track, moment by moment, four possible functions of deliberation (generating candidate responses, justifying them, controlling intuitive responses, and regulating cognitive effort), together with expressed confidence. Deliberation showed a clear temporal organization: generation dominated early, whereas justification, control, and regulation became increasingly prominent as reasoning progressed. Correct responses involved more justification, control, and regulation than biased responses, and these evolving dynamics predicted accuracy for out-of-sample participants and items. Confidence and deliberation also showed reciprocal lagged associations: lower confidence predicted further generation, justification, and control, whereas regulation predicted subsequent increases in confidence. Deliberation, then, appears to involve not a single act of "thinking harder," but an evolving interplay of reasoning processes whose organization is linked to whether reasoning succeeds.

Keywords: deliberation; reasoning dynamics; verbal protocols; large language models; metacognition; dual-process theories
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Zoe Purcell 🕵🏻‍♀️ @zoepurcell.bsky.social · 22/09/2026
Why are people so bad at spotting fallacies in climate (mis)information? And what can we do about it? @bencebago.bsky.social and I found a big role of prior beliefs, evidence against identity-protective reasoning, and a neat way to improve climate argumentation. rdcu.be/8X6KVTwk5pTa
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Nick Byrd, Ph.D. @byrdnick.com · 22/09/2026
I'm pumped to see others beat me to a re-analysis of our earliest think-aloud datasets. Long live #openScience and #processTracing! We're also developing AI-mediated, human-validated approaches to public decision transcripts, albeit with slightly different research questions. Promising methods! 🧵
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Jérémie Beucler @jeremiebeucler.bsky.social · 22/09/2026
1/15 What do we actually do when we deliberate, and how does it change over time? New preprint with @wimdeneys.bsky.social : "Rhythm of Thought: Tracing the Dynamics of Deliberation in Reasoning". 🔗 doi.org/10.31234/osf... (yes, I like flashy titles 💅) A 🧵👇
Title page showing:

Rhythm of Thought: Tracing the Dynamics of Deliberation in Reasoning
Jérémie Beucler a,* and Wim De Neys a

a LaPsyDÉ, CNRS, Université Paris Cité, F-75005 Paris, France

Abstract

When an intuitive answer is uncertain, people are thought to engage in further reasoning. But what people actually do during this additional thinking, how it unfolds over time, and why it sometimes leads to better answers remain unclear. We scored think-aloud protocols with large language models to track, moment by moment, four possible functions of deliberation (generating candidate responses, justifying them, controlling intuitive responses, and regulating cognitive effort), together with expressed confidence. Deliberation showed a clear temporal organization: generation dominated early, whereas justification, control, and regulation became increasingly prominent as reasoning progressed. Correct responses involved more justification, control, and regulation than biased responses, and these evolving dynamics predicted accuracy for out-of-sample participants and items. Confidence and deliberation also showed reciprocal lagged associations: lower confidence predicted further generation, justification, and control, whereas regulation predicted subsequent increases in confidence. Deliberation, then, appears to involve not a single act of "thinking harder," but an evolving interplay of reasoning processes whose organization is linked to whether reasoning succeeds.

Keywords: deliberation; reasoning dynamics; verbal protocols; large language models; metacognition; dual-process theories
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Reposted by Jérémie Beucler
Esther Boissin @boissinesther.bsky.social · 21/09/2026
Happy to share a new preprint with @tomcostello.bsky.social, @dgrand.bsky.social and @gordpennycook.bsky.social 🧵 "What beliefs are most debunkable?" osf.io/preprints/ps... We investigate the characteristics of the beliefs that are (or are not) influenced by counterevidence in 3,341 AI dialogues.
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Micah G. Allen @micahgallen.com · 22/09/2026
So… we just found out that GPT sol can complete a complex online behavioral/cognitive study producing nearly indistinguishable behavior and subjective reports… right as we are about to launch. Is this doomsday for online cognitive testing?
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Daniel Lakens @lakens.bsky.social · 15/08/2026
New Blog post: Which Data Repository Should you Use? In light of OSF closing down, I compare Zenodo, Dataverse, ResearchBox, PsychArchive, and local repositories on six important dimensions. If you want to know which to pick: It depends! daniellakens.blogspot.com/2026/08/whic...
daniellakens.blogspot.com
Which Data Repository Should You Use?
The Center for Open Science has announced that from November 16, 2026, no new projects can be created on the Open Science Framework. After F...
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Nicolas Beauvais @nicolasbeauvais.bsky.social · 07/09/2026
1/4 🧵 New paper out (open access!) with @wimdeneys.bsky.social Can people tell a strong argument from a weak one on the fly, or only once they stop to think? We find that people already have some intuitive sensitivity to argument strength, but deliberation helps a lot.
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Alejandra Caraballo @esqueer.net · 05/09/2026
Oh my god, someone took the fully mapped brain off a fruit fly that was released by Google and loaded it into a Minecraft simulation.
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Momchil Tomov @momchiltomov.bsky.social · 02/09/2026
Excited to share that our paper on explainable AI for autonomous driving is out today in @nature.com! Super proud to have been part of this amazing collaboration between Motional and MIT! Details in the 🧵
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Jérémie Beucler @jeremiebeucler.bsky.social · 27/08/2026
In this blog post with @wimdeneys.bsky.social, we discuss some of our recent research on dual-process theories; check it out if you're interested! bppblog.com/2026/08/27/w...
bppblog.com
When fast is right and slow is wrong (rethinking intuition and deliberation)
The article by Jérémie Beucler and Wim De Nys critiques dual-process theory, highlighting some of its simplifications. They argue that intuition can be sound and deliberation sometimes ineffective …
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Jay Van Bavel, PhD @jayvanbavel.bsky.social · 24/08/2026
Social media discourse is driven by false #polarization We find that: 1) ideologues post opinions more than moderates 2) extreme attitudes are posted more than moderate one 3) This replicates in 40 countries 4) Opinions that users post are more hostile than the beliefs they keep to themselves
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Jay Van Bavel, PhD @jayvanbavel.bsky.social · 19/08/2026
Using AI helps people get higher grades and get their work done faster, but they learn less & suffer on actual exams I saw this in my own large Intro Psych class: -the exam average is 85% -after AI, it shot up to 95% -after I made the final in person it went to 68% www.economist.com/graphic-deta...
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Leya @aleyamarzuki.bsky.social · 14/08/2026
📢 Our paper is now out in @natcomms.nature.com! www.nature.com/articles/s41... We know that symptoms of OCD fluctuate substantially. But what are the exact conditions that precede symptom escalations? We found evidence for metacognitive processes being a key antecedent. 1/
nature.com
Drops in confidence precede symptoms of obsessive-compulsive disorder - Nature Communications
To devise effective interventions for obsessive-compulsive disorder, it is crucial to understand antecedents to symptom emergence. Here, the authors show evidence for self- and decision making underco...
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Reposted by Jérémie Beucler
Paper Skygest Team @paper-feed.bsky.social · 19/08/2025
**Please repost** If you're enjoying Paper Skygest -- our personalized feed of academic content on Bluesky -- we'd appreciate you reposting this! We’ve found that the most effective way for us to reach new users and communities is through users sharing it with their network
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Jan R. Wessel @janw.bsky.social · 08/08/2026
New preprint from the lab. We think we have a solution (two, actually) to a long-standing problem in the field of response inhibition. Using two different mathematical approaches, we think we can identify long-hypothesized inhibitory 'trigger failure' trials. More in🧵 www.biorxiv.org/content/10.6...
biorxiv.org
Two types of response inhibition failures in humans
Response inhibition is a key control function that allows humans to perform safe, goal-directed behaviors. The dominant behavioral-computational model holds that response inhibition fails when the inh...
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Andrew Lampinen @lampinen.bsky.social · 05/08/2026
Yet another (popular) article on human/LM reasoning that (as usual) I'm deeply disappointed to see casually presupposes that humans do something called "reasoning" that's implied to be linking together steps that logically follow without any qualification, then proceeds to be dismissive 1/
"Reasoning comes in many technically defined forms(opens a new tab), but the basic procedure is easily recognizable: arriving at a sound conclusion by linking together intermediate steps that logically follow from each other. We do this with thoughts; LRMs use so-called chains of thought [...]" from https://www.quantamagazine.org/is-ai-reasoning-right-for-the-wrong-reasons-20260731/
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Deniz Vatansever @neurodenizen.bsky.social · 27/07/2026
💡What makes some ideas spring to mind while others we have to reach for? We built an #NLP #fMRI #MachineLearning framework to find out. New study from our lab, led by @kaixiangzhuang.bsky.social out in @natcomms.nature.com 🧵 🔗 www.nature.com/articles/s41... #CognitiveNeuroscience #Fudan #ISTBI
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Zoe Purcell 🕵🏻‍♀️ @zoepurcell.bsky.social · 17/07/2026
How can we collectively contain the threat of dishonest delegation to AI? Our paper "Whistleblowers can contain the unethical externalities of human–AI delegation" is out in PNAS, with @nckobis.bsky.social , Andrew Samuel, and @jfbonnefon.bsky.social. www.pnas.org/doi/10.1073/...
pnas.org
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
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Centre for Brain and Behaviour, QMUL @queenmarycbb.bsky.social · 08/07/2026
Check out this new work from @ranimo.bsky.social and colleagues, who used reinforcement learning to study the cognitive biases that affect us when forming beliefs based on non-credible information. elifesciences.org/articles/106...
elifesciences.org
Disinformation elicits learning biases
Learning from potential disinformation introduces specific cognitive biases, causing individuals to systematically deviate from an idealized Bayesian updating strategy.
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Daniel Spinoza-Martín @d-spinozamartin.bsky.social · 03/07/2026
In a new paper out in @cognitionjournal.bsky.social, @gordpennycook.bsky.social and I argue the classic view that System 2 spontaneously corrects System 1 is flawed. We provide evidence that S2 is instead triggered by conflict between competing S1 intuitions www.sciencedirect.com/science/arti...
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Jérémie Beucler @jeremiebeucler.bsky.social · 15/06/2026
Very creative use of comp modeling on an important question, with rich data! 🙌
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Jérémie Beucler @jeremiebeucler.bsky.social · 21/05/2026
Hier soir, j’ai eu la chance de participer à @pintofscience.fr pour parler des biais de raisonnement, ainsi que des modèles qui permettent de mieux comprendre quand nous avons tendance à délibérer un peu plus (ou pas) 😮‍💨
je présente des slides dans une cave sur le thème des biais cognitifs
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Jérémie Beucler @jeremiebeucler.bsky.social · 07/05/2026
Very nice piece on our recent paper with @wimdeneys.bsky.social by @carlhendrick.substack.com 🙌 carlhendrick.substack.com/p/rethinking...
carlhendrick.substack.com
Rethinking Fast and Slow
New evidence suggests the standard dual process story undersells intuition
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Jérémie Beucler @jeremiebeucler.bsky.social · 20/04/2026
Are you thinking in vain? New paper with @zoepurcell.bsky.social, @luciecharlesneuro.bsky.social, @wimdeneys.bsky.social & @kobedesender.bsky.social 𝘛𝘩𝘪𝘯𝘬𝘪𝘯𝘨 𝘪𝘯 𝘝𝘢𝘪𝘯: 𝘈𝘯 𝘌𝘷𝘪𝘥𝘦𝘯𝘤𝘦 𝘈𝘤𝘤𝘶𝘮𝘶𝘭𝘢𝘵𝘪𝘰𝘯 𝘈𝘤𝘤𝘰𝘶𝘯𝘵 𝘰𝘧 𝘉𝘪𝘢𝘴𝘦𝘥 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯𝘨 🔗 osf.io/preprints/ps... A 🧵
a man hanging from a scale where on one side there are really heavy stereotypes, and on the other side very light base-rates, to illustrate base-rate neglect
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Jérémie Beucler @jeremiebeucler.bsky.social · 25/04/2026
Are you "thinking in vain"? 🫵 Take this (very short) test and see for yourself: jeremie-beucler.github.io/thinking_in_... 🔗 Paper: osf.io/preprints/ps...
a mashup of different figures showing:
- left: a biased DDM model showing the trajectory of a biased reasoner and a bayesian reasoner in a base-rate neglect task
- right: simulations of this model showing evidence map for biased reasoner and relationship between bias weight and decision boundary and accuracy
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Jérémie Beucler @jeremiebeucler.bsky.social · 20/04/2026
Are you thinking in vain? New paper with @zoepurcell.bsky.social, @luciecharlesneuro.bsky.social, @wimdeneys.bsky.social & @kobedesender.bsky.social 𝘛𝘩𝘪𝘯𝘬𝘪𝘯𝘨 𝘪𝘯 𝘝𝘢𝘪𝘯: 𝘈𝘯 𝘌𝘷𝘪𝘥𝘦𝘯𝘤𝘦 𝘈𝘤𝘤𝘶𝘮𝘶𝘭𝘢𝘵𝘪𝘰𝘯 𝘈𝘤𝘤𝘰𝘶𝘯𝘵 𝘰𝘧 𝘉𝘪𝘢𝘴𝘦𝘥 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯𝘨 🔗 osf.io/preprints/ps... A 🧵
a man hanging from a scale where on one side there are really heavy stereotypes, and on the other side very light base-rates, to illustrate base-rate neglect
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Marius Mercier @mariusmercier.bsky.social · 30/03/2026
Thrilled to share that our new paper is now out in @cognitionjournal.bsky.social: "Who knows what? Bayesian Competence Inference guides Knowledge Attribution and Information Search," with @oliviermorin.bsky.social , @hugoreasoning.bsky.social & @tadegquillien.bsky.social! Link: tinyurl.com/ykyhxcc6
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Jason W. Burton @jasonburton.bsky.social · 11/03/2026
🧑‍💻 New paper at #chi2026 w @lorenzspreen.eurosky.social and @stefanherzog.bsky.social Are you worried about how social media algorithms affect people’s beliefs? We are, so we tested engagement-based ranking algorithms against alternatives in a pre-reg’d collaborative filtering experiment... 🧵
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BAMB! @bamb-school.bsky.social · 12/02/2026
Applications for BAMB! 2026 are officially open! Join us in Barcelona (July 12–23) to master the art of behavioral modeling with our incredible faculty: @meganakpeters.bsky.social @marcelomattar.bsky.social @khamascience.bsky.social @thecharleywu.bsky.social Apply now here: www.bambschool.org
bambschool.org
BAMB! 2026 | Barcelona Summer School for Advanced Modeling of Behavior
Intensive training for experienced researchers in cognitive science, computational neuroscience and neuro-AI. Five interconnected modules, expert faculty, hands-on projects. July 12-23, 2026.
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Ali Shiravand @alishiravand.bsky.social · 09/02/2026
💡 Our new #preprint is available online! How do people adapt their decisions when priorities change? In our new study, we examine how the way people represent value shapes their ability to adjust in multi-goal environments. 🔗 OSF link: doi.org/10.31234/osf... It's a thread 🧵
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Ali Shiravand @alishiravand.bsky.social · 03/02/2026
Calling all scientists: Support your Iranian colleagues www.nature.com/articles/d41...
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Michael Inzlicht @minzlicht.bsky.social · 04/02/2026
After 20 years as psychology's golden child, ego depletion collapsed. Now it's back...with a catch. The secret? Make people work for 30-40 minutes instead of 5. In other words, we finally discovered fatigue. New post on the redemption tour.
speakandregret.michaelinzlicht.com
Congratulations, You've Discovered Fatigue
Just when I thought I was out, they pull me back in.
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David Rand @dgrand.bsky.social · 03/02/2026
🚨New WP "@Grok is this true?" We analyze 1.6M factcheck requests on X (grok & Perplexity) 📌Usage is polarized, Grok users more likely to be Reps 📌BUT Rep posts rated as false more often—even by Grok 📌Bot agreement with factchecks is OK but not great; APIs match fact-checkers osf.io/preprints/ps...
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Benoît de Courson @bdecourson.bsky.social · 03/02/2026
🔺 New preprint 🔺 Why does poverty increase time discounting? With W. Frankenhuis and @danielnettle.bsky.social, we argue that current models do not account for discounting in *persistent* poverty, and show that a desperation threshold can! A quick 🧵
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Jay Van Bavel, PhD @jayvanbavel.bsky.social · 01/02/2026
Rationality (especially its analytic component) is consistently associated with both earnings and wage gaps across 101 occupations. journals.sagepub.com/doi/10.1177/...
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Jérémie Beucler @jeremiebeucler.bsky.social · 21/01/2026
Our paper with @zoepurcell.bsky.social , @luciecharlesneuro.bsky.social and @wimdeneys.bsky.social on using LLMs to estimate belief strength in reasoning is out in Behavior Research Methods. If you're interested in reasoning biases & LLMs as measurement tools, check it out: rdcu.be/eZXGK (free pdf)
title of the paper in behavior research methods
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Thomas Beuchot @thomasbeuchot.bsky.social · 19/01/2026
🎉 Our paper is out in Communications Psychology: a perspective on behavioural public policies & the psychology of poverty. Core idea: poverty can shift psychology, so the same intervention won’t work the same for everyone. Thread 🧵
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Eiko Fried @eikofried.bsky.social · 12/01/2026
Our machine learning competition on forecasting depression is online! We'd love for as many people as possible to participate. Please share in your respective networks — thank you :). www.staff.universiteitleiden.nl/announcement...
staff.universiteitleiden.nl
Machine-learning competition on forecasting depression in young adults - Leiden University
After nearly 5 years of work, the research team led by Eiko Fried has finished data collection in the ERC-funded WARN-D project on building a personalised early warning system for depression. But just...
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Jérémie Beucler @jeremiebeucler.bsky.social · 07/01/2026
1/13 New paper with @wimdeneys.bsky.social accepted at @cognitionjournal.bsky.social 🥳 Is creativity intuitive? 👩‍🎨 A 🧵👇
the heading of the paper "Intuitive insight: Fast associative processes drive sound creative thinking" at Cognition
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Thomas Andrillon @thomasandrillon.bsky.social · 29/12/2025
🚨 New paper in @pnas.org to end 2025 with a bang!🚨 Behavioral, experiential, and physiological signatures of mind blanking www.pnas.org/doi/10.1073/... with Esteban Munoz-Musat, @arthurlecoz.bsky.social @corcorana.bsky.social, Laouen Belloli and Lionel Naccache Illustration: Ana Yael. 1/n
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koenfucius @koenfucius.bsky.social · 25/12/2025
Self-control—the ability to ignore short-term temptations in favour of long-term goals—leads to better health, career success, financial security, but does it lead to wellbeing? New research suggests it’s the other way around, writes @ewdolan: buff.ly/u7HGaMz
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Kobe Desender @kobedesender.bsky.social · 16/12/2025
Modeling Speed–Accuracy Trade-Offs in the Stopping Rule for Confidence Judgments! Now out in #PsychologicalReview (aka we can finally say we do comp models)! Led by @stefherregods.bsky.social @lucvermeylen.bsky.social @pierreledenmat.bsky.social Paper: desenderlab.com/wp-content/u... Thread ↓↓↓
desenderlab.com
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Stefano Palminteri @stepalminteri.bsky.social · 10/12/2025
Excited to announce our symposium on how AI and humans shape each other “Humans and Artificial Minds: Mutual Influences” 9 Jan at ENS Paris. Talks by @smfleming.bsky.social, Valeria Giardino, Silvia Tulli, @thecharleywu.bsky.social, Laurence Devillers & @summerfieldlab.bsky.social . Program ↓
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Jamie Cummins @jamiecummins.bsky.social · 09/12/2025
Just published in Behavior Research Methods: The individual-level precision of implicit measures w/ @ianhussey.mmmdata.io 🧵👇 link.springer.com/article/10.3...
link.springer.com
The individual-level precision of implicit measures - Behavior Research Methods
Implicit measures are used extensively in psychological science. One fundamental goal of these measures is to provide information diagnostic of an individual’s attitudes or beliefs. After 25 years of ...
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