I tried to explain what's happening in that recent paper about the heritability of human lifespan: dynomight.net/lifespan/

How many versions of the Iowa Gambling Task (IGT) exist? And how much does this affect research using the IGT? More than you might think. 🧵

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"A cat in the wall can either indicate a serious health problem (e.g., neurological, pain, vision loss) or indicate boredom, stress, or hunting instinct [...]." - Gemini (2026)

In response to me typing "cat in the wall" in google search (to find out more about this: en.wikipedia.org/wiki/Dried_cat)

Sounds like a psychologist who wants to make sure you learn what they’ve written and that’s their way of using the very sound framework of desirable difficulties (/s).

That's beautiful! Also cool that she puts the pedal in that mid-range and allows herself to move by half-steps below it. Creates more movement and less of a mediation-association for me than if she had tried to keep the intervals large down there.

Beautiful! In this version she creates more tension than on the album, I think partially through overtones (some of non-diatonic notes) that are enhanced by the reverb, I assume (could also be the delay, or both?). So happy she's with Gondwana - they're such a good fit and a gold mine!

Fingers crossed that the next sequel to the Curve-Debates is gonna make use of Sora.

WARN-D machine learning competition is live » Eiko Fried 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...

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...

The golden age of vaccine development - Works in Progress Magazine The first vaccine was a lucky accident. Now we can design new vaccines in weeks, atom by atom.

NEW article by me!

We can now visualize pathogens down to atoms; design vaccines in weeks; manufacture them in microbial factories; engineer them more precise than ever before.

We're living through a golden age of vaccine development, but only if we continue to invest in them.

Des Metzgers Antwort auf Zudeln :D

Point of no returns: researchers are crossing a threshold in the fight for funding With so little money to go round, the costs of competing for grants can exceed what the grants are worth. When that happens, nobody wins.

Scientific funding is a net negative: "European taxpayers will have spent more on the funding process than on the funding itself, and the scientific ecosystem has been drained"

www.nature.com/articles/d41...

All the Rock Facts YouTube video by Those clips you've been looking for

www.youtube.com/watch?v=Wn7I... just don't steal 'em!

Fig. 3. Scatter plots of the synthetic and empirical estimates, validation study (Stage 2). Showing N = 30,135 item-pair correlations, N = 257 scale reliabilities, and N = 1,568 scale-pair correlations for (top) the pretrained SBERT model and (bottom) the fine-tuned SurveyBot3000 model. SBERT = all-mpnet-base-v2 model.

Fig. 4. Prediction error of the synthetic estimates, validation study (Stage 2). Our prediction model allowed the error term to vary freely according to the predictor, the synthetic estimate. The thin-plate splines show that some synthetic estimates were predictably more accurate.

Fig. 5. Accuracy by domain. Accuracy differed across domains. SurveyBot3000 accuracy (colored) was always higher than SBERT accuracy (gray). Results were largely consistent whether accuracy of items was tested (left, circle) within domains or (right, cross) across domains.

Fig. 1. Multistep training procedure for the SurveyBot3000, which produces synthetic estimates of interitem correlations. (a) Pretraining base model (SBERT). (b) Fine-tuning SurveyBot3000. (c) Validation. SBERT = all-mpnet-base-v2 model.

Finally, @bjoernhommel.bsky.social's and my paper introducing the SurveyBot3000 is officially out in AMPPS. It's a fine-tuned language model that guesstimates correlations between survey items from text alone. Not perfectly, but useful for search, for example.
journals.sagepub.com/doi/10.1177/...

Many psychologists are treating LLMs as if they are the mind of god.

This study had chatGPT rate how central academic disciplines are to various constructs.

Why would chatGPT know this?

Where is the evidence its ratings are reliable or valid?

compass.onlinelibrary.wiley.com/doi/full/10....

"Visible learning" (Hattie) had a strong influence on what & how students have been taught around the world, including me during my master's at @unierfurt.bsky.social.
Kalmendal et al. have a preprint out, detailing serious quality concerns in his non-peer-reviewed book:
osf.io/preprints/ps...

So...my undergrad thesis student is doing a quality analysis of studies found in meta-analyses. She identified a few and we contacted the authors to request their effect sizes and other variables for the studies in their papers.

Here's what happened:

scientiapsychiatrica.com/index.php/Sc...

Let's hope we never see the strawberry-vanilla-flavored vape of psych science!
I'm also rather optimistic, but I think there's a ceiling of thinking about this / acting on it merely as individual choices: The money in the system and its interaction with individuals & institutions.

Cutting down on em dashes—by far the hardest and least enjoyable part of writing in APA format!

"In 2019 we notified journals about serious integrity concerns in 172 clinical trials. Over five years later, only 22 have been retracted. The 135 unretracted trials have 1989 citations in systematic reviews, clinical guidelines, and consensus statements"

[paraphrased]
www.bmj.com/content/390/...

And, of course, there's an app to check out: www.apps.meta-rep.lmu.de/shiny_umbrel...

Yay! We took the umbrella observed by @jamesheathers.bsky.social et al. (2016), formalized a version of it, and explored what we can learn from it regarding power and heterogeneity analysis. Article now out at BRM: rdcu.be/eRAyW. Many thx to my coauthors @lbnhr.bsky.social and @renkew.bsky.social!

Inhibiting and facilitating conditions of the h̶u̶m̶a̶n̶ smile: a n̶o̶n̶obtrusive test of the facial feedback hypothesis (Strack et al., 1988)

Two‐stage or not two‐stage? That is the question for IPD meta‐analysis projects Individual participant data meta-analysis (IPDMA) projects obtain, check, harmonise and synthesise raw data from multiple studies. When undertaking the meta-analysis, researchers must decide between ...

Some of the more recent work by Richard Riley communicates quite well on that matter in the context of "classic meta-analysis vs. MLM" (doi.org/10.1002/jrsm...).

Plot twist: the heterogeneity was mostly measurement error! Turns out the heroes of the story were just beating up people who had the flu. Will they retract?!
...all this and other delicious moral dilemmas in "Self-Correction vs. Zombie-Infection".

My new favorite first sentence of a psych paper:
"From San Francisco to Santiago, Sydney to Seoul, people want to be cool (Belk et al., 2010; Heath & Potter, 2004; Rahman, 2013)."
- Cool People (Pezzuti et al., 2025).
Just a bit unsettling how close that sounds to "What's the deal with birds?"

you're so goated!

For all who use Bayesian hierarchical models, have a look at our new preprint, out now together with @linushof.bsky.social @nunobusch.bsky.social and @thorstenpachur.bsky.social

osf.io/preprints/ps...

For Monday crowd. INSPECT-SR, a tool to help you identify problematic (inc. fraudulent) RCTs, now available.

Great comment for managing expectations.But naivety around interdisciplinary communication is likely related to its failure. We take years to study our own discipline. Why expect productive collabs with another discipline w/o decent prep? A "single head" necessitates at least some translations/prep.