Behavior change at scale, decision-making, meta-science, inequality, and a 'little bit' of happiness. Fulbright Alumn at Harvard & Columbia. Currently leading the Behavioral Science Center in Budapest.
Barnabas Szaszi
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Per protocol analysis strikes again!
Folks, if you randomize but then don‘t analyze some of the people who got randomized (maybe because they didn’t adhere to instructions, maybe because they dropped out), randomization will no longer do all the heavy causal inference lifting.
Our lab has the capacity to test ~500 uni students each semester
If you’re a researcher in cognitive psychology or metascience and need data collection support, we’d love to collaborate. We can help collect high-quality data from a large student sample.
Get in touch to discuss potential projects!
The Iowa Gambling Task is an extreme example of Jingle Fallacy and schmeasurement.
In 100 articles we found 244 different ways of scoring it, 177 were never reused. Correlations between them range -.99 to .99.
At the same time, we show meta-analyses combine these results as if they’re equivalent.
In a Nature study, Team Scientists @szaszibarnabas.bsky.social, Gideon Nave, Michael Inzlicht and collaborators attempted replications of 274 findings from social and behavioral science journals. 55.1% were successfully replicated.
https://go.nature.com/3Q4YxuW
Julia M. Rohrer
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.
After 5 years of data collection, our WARN-D machine learning competition to forecast depression onset is now LIVE! We hope many of you will participate—we have incredibly rich data.
If you share a single thing of my lab this year, please make it this competition.
eiko-fried.com/warn-d-machi...
In this blog post I will analyse the arguments that Dr. Amy Cuddy provided in a blog post “The "Power Posing Was Debunked" Myth: What the Re...
It's ironic to see a discipline care **so much** about unbiasedness (causal inference!) at the level of a single test but then have a research production system and culture that is basically a ferocious bias generation machine. This is not good.
If you share one single thing of our team in 2026—on social media or per email with your colleagues—please let it be this machine learning competition. It was half a decade of work to get here, especi...
