Daniel Lakens
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lakens.bsky.social
Daniel Lakens
@lakens.bsky.social
Metascience, statistics, psychology, philosophy of science. Eindhoven University of Technology, The Netherlands. Omnia probate. 🇪🇺
Pinned
My paper on concerns about replicability, theorizing, relevance, generalizability, and methodology across 2 crises is now in press at the International Review of Social Psychology. After revisions it was 17500 words, so it is split in 2 parts: osf.io/dtvs7_v2 and osf.io/g6kja_v1
OSF
osf.io
Reposted by Daniel Lakens
"justice in science requires 'epistemic inclusion', not just diversity"

- @vlastasikimic.bsky.social in amazing keynote at #PSE8
February 11, 2026 at 11:10 AM
Reposted by Daniel Lakens
Wahou, so refreshing this first day at the meta-science conference #PSE8. How did I change my mind from science is broken to yes but great minds are working on it!

I also received very positive feedback on my work on outlier detection (that should be out as a preprint soonish)
February 11, 2026 at 6:12 PM
Reposted by Daniel Lakens
Thanks to everyone that was interested in my poster for the great conversations and discussions!

The preprint on reporting, open science, and trustworthiness in simulation studies is available here: osf.io/jn9sy_v2

Ready for day two of #PSE8!
February 12, 2026 at 7:25 AM
Reposted by Daniel Lakens
Very relevant following the keynote by Leif Nelson! #PSE8
Dear colleagues - we want to better understand perceptions of data fraud and its detection and need your support! Are you currently a #researcher in #psych (or related fields) working with #data? Perfect - please respond to & share this short study (7min): sosci.rlp.net/detection/?r... Thank you!! 🫶
Fragebogen | Seite 1
sosci.rlp.net
February 12, 2026 at 11:45 AM
Reposted by Daniel Lakens
Insights from the #PSE8 conference

Day 2: I was particularly struck by a presentation from Prof Leif Nelson on the detection of problematic data.

I wonder how many of us have came across problematic papers - or datasets and don’t what to do!?

#ResearchIntegrity #OpenScience
February 12, 2026 at 12:49 PM
Reposted by Daniel Lakens
This was a banger of a talk.
Leif Nelson pointing out that lawsuits are not great for science, as we need to be able to criticize others without the threat of having to pay huge legal fees, and I vest a ton of time, to defend ourselves.
February 12, 2026 at 4:39 PM
Reposted by Daniel Lakens
First time presenting this work to a room of scientists. General reaction to learning about how science is evaluated for use in court: 🤯
Edith Beerdsen from Temple University, USA, continues the afternoon about the role that scientific error plays in the courtroom, providing a perspective on Scientific Error from how science influences the practice of law. #PSE8
February 12, 2026 at 4:41 PM
Final keynote and talk of the #PSE8 conference, by František Bartoš, University of Amsterdam, talking about the idea of robustness reports.
February 12, 2026 at 2:39 PM
Reposted by Daniel Lakens
Leif’s #PSE8 keynote was ridiculously good, basically a live episode of @datacolada.bsky.social ... if anyone deserves a detective/sitcom series based in their work, it’s Leif, not Ariely – take note @netflix.com
Neil Nelson will give the first keynote of the day, about finding lies in the work of scientists. He argues we need to be able to detect what is not true when we interact with the scientific literature. #PSE8
February 12, 2026 at 2:00 PM
Reposted by Daniel Lakens
Really cool talk
February 12, 2026 at 1:45 PM
We continue with the field of medical imaging with deep learning, in a talk by Attila Simkó from Umeå University, talking about computationally reproducing code.
February 12, 2026 at 1:42 PM
Edith Beerdsen from Temple University, USA, continues the afternoon about the role that scientific error plays in the courtroom, providing a perspective on Scientific Error from how science influences the practice of law. #PSE8
February 12, 2026 at 1:07 PM
Leif Nelson pointing out that lawsuits are not great for science, as we need to be able to criticize others without the threat of having to pay huge legal fees, and I vest a ton of time, to defend ourselves.
February 12, 2026 at 11:07 AM
Neil Nelson will give the first keynote of the day, about finding lies in the work of scientists. He argues we need to be able to detect what is not true when we interact with the scientific literature. #PSE8
February 12, 2026 at 10:23 AM
We continue with a discussion about theory specification in social psychology by Anand Krishna from Wurzburg, Germany. #PSE8 After decades of calls for stronger theory, how do we actually specify more detailed theories?
February 12, 2026 at 9:25 AM
We continue with James Steele (wearing his 'stay calm and read Paul Meehl' shirt) who is in a high pace running us through his views on how we develop and test strong theories. #PSE8
February 12, 2026 at 9:02 AM
We are back at the second day of #PSE8! Liz Tenney from the University of Utah is stepping in to cover for an I'll speaker, and talking about doing replication in the trenches - reflecting on the practices of doing replication studies.
February 12, 2026 at 8:29 AM
Second keynote of the day, Femke Truijens, from the Erasmus University, talking about what it means to be an 'error' in mental health research. #PSE8 After this we will have posters, drinks, and continue discussions over dinner!
February 11, 2026 at 3:07 PM
Now Finn Luebber from the University of Lübeck discussing if the benefits of peer review for grants is worth the costs. In his talk he will also go into lotteries as an alternative approach to fund research. #PSE8
February 11, 2026 at 1:45 PM
We are back after lunch, and continue with Rink Hoekstra, with a talk calling for more transparency and accountability in scientific publishing. #PSE8
February 11, 2026 at 1:06 PM
Now the first keynote of the conference, Vlasta Sikimić, who will talk about the importance of intellectual virtues, and their role in a future in which we might have a bigger role of AI in the evaluation or review of scientific grants and papers. #PSE8
February 11, 2026 at 10:26 AM
When we want to distinguish erroneous results from true effects, we need to perform replication studies where we systematically vary factors that aim to isolate the source of the error in repeated conceptual and direct replications. We need to "probe" for sources of error!
February 11, 2026 at 9:35 AM
Douglas Allchin summarizes many examples in the history of science where artifacts replicate very well. #PSE8

Lovely examples (like N-rays) of the trivial truth that successful replications do not imply the truth. But replications are essential to figure out what's what!
February 11, 2026 at 9:31 AM
Now Douglas Allchin from the University of Minnesota, taking a history of science perspective on errors in science. #PSE8 He will dig into Joseph Priestley's 1771 experiment on the restoration of air (unknown to most audience members!)
February 11, 2026 at 9:23 AM
Now Aurélien Allard with the second talk of #PSE8: How is it possible that there is massive scientific progress, even thought there is a lot of scientific error?
February 11, 2026 at 8:51 AM