Scientists created prosthetic barn-owl ears and got human participants to wear them for 3-59 days. Yes, people walked around with barn-owl ears for up to 2 months *for science*. This is the type of news I need today to restore a bit of my faith in humanity. www.biorxiv.org/content/10.6...

Sterling, 1959 updated. We still aren’t sharing science in a scientific manner. With 65 years of knowing the problem, how are we still struggling to address it?

So excited to see DaBest 2.0 is out: get bootstrapped estimation statistics for simple through complex designs, all with beautiful visualization, available in R and Python. Check it out! Pre-print describing new features for complex designs: www.biorxiv.org/content/10.6... #stats

Looking forward to reading this retrospective on the promise and perils of organizing an RRR with in-person data collected. From: @aggieerin.bsky.social , @psforscher.bsky.social , and others. #stats doi.org/10.1111/spc3...

Comparing registrations to published papers is essential to research integrity - and almost no one does it routinely because it's slow, messy, and time-demanding. RegCheck was built to help make this process easier. Today, we launch RegCheck V2. 🧵 regcheck.app

esci 1.0.9 is now on CRAN. No big changes, just a couple of bug fixes and some compatibility changes for statpsych 1.9. Still a great easy way to get effect sizes and fair tests for many common designs. cran.r-project.org/web/packages... #stats

thenewstatistics.com/itns/2026/01... A statistics textbook for the AI era

The Faculty for Undergraduate Teaching Workshop is back this summer, July16-19, right outside of Chicago. A great conference with great people. Registration and abstract submission are open… it is going to be great! #neuroscience www.funfaculty.org/conference_2...

Another threat to stereotype threat? An RRR (in press, AMPPS) shows the ~0 impact of stereotype threat on female math performance. Fantastic, arduous work from leads Andrea Stoevenbelt, Paulette C. Flore, and Jelte Wicherts (and DU alum @luis-a-gomez.bsky.social) #stats osf.io/preprints/ps...

Some frank talk about paper mills from @sfnjournals.bsky.social . (maybe @cbmetznancy.bsky.social ). Really hard to see how the integrity of scientific publishing will hold up against the incentives and the tools to cheat. #neuroscience www.eneuro.org/content/13/1...

Too many significance tests!! Made this little graphic for my #stats class, showing the various kinds of (N)HST and how interpreting confidence intervals can replace all of them. Made with #rstats #ggplot (duh)

Most neuroscience data is *not* normally distributed... so what should you do about it? Here's a great tutorial from @mikemalekahmadi.bsky.social focused on regression techniques for non-normal data: www.eneuro.org/content/13/1... #stats #neuroscience

Another paper I want to read, this one on the interpretation of effect sizes, with data on actual use in psychology. Seems to be another contribution to sentiment that we need to get over Cohen's d -- raw score effect sizes are usually best! doi.org/10.1057/s415...

This looks like an interesting discussion of I2 and its interpretation for meta-analysis: doi.org/10.1017/rsm....

Here's an intriguing new(ish) finding from our lab: as a memory is forgotten, transcription seems to fade more rapidly than memory expression. This is a project we completed in 2019 and finally had a chance to write about: www.biorxiv.org/content/10.6... #neuroscience

Whoever did this, I love you: www.youtube.com/watch?v=pGfN...

New paper in press at JPSP! An adversarial collaboration focusing on a large-scale test of how strongly implicit racial attitudes predict discriminatory behavior. Pre-print here: osf.io/preprints/ps...

An unbiased tally of social science experiments shows less than 1/3 of hypotheses were supported. This is what our research literature *should* look like. Biggest predictor of success was sample size, but largely due to ability to detect trivial effects.

Today's a good day to register for PsychTerms, an online workshop on the teaching of statistics and methods that will be held Dec 10-11: www.psychterms.com Lots of great presentations to help pump up your teaching mojo for spring semester. #stats

Estimation is catching on! The esci module in @jamovi.bsky.social was installed over 3,000 times in November. The R package in CRAN is getting an additional 250 downloads a month. Are you estimation curious? So easy to get started with esci: rcalinjageman.github.io/esci/ #stats

We're not shocked at all the fake conference/paper inquiries we get but: I got an email from an editor at Elsevier asking me to adapt a presentation they had seen me make at SFN.... a presentation I had *not* ended up making. Why do we just shrug off routine mendacity like this? #neuroskyence

Here's a nice discussion of effect sizes in cognitive neuroscience, with real examples and an discussion of using null intervals. Lots of good advice here; if you've been interested in inference by interval, this is a great resource. #Neuroskyence #stats doi.org/10.1016/j.dc...

New analysis of statistical (mal)practice in top journals shows widespread problems in how correlations are reported and interpreted. What is the word I keep reaching for that would mean: not surprised and yet still deeply shocked? arxiv.org/abs/2511.14092 @nature.com, @natneuro.nature.com

Another CREP study out in print: online.ucpress.edu/collabra/art... Congrats to all the students and dedicated faculty mentors involved, like @aggieerin.bsky.social ky.social and @jorowags.bsky.social Get your students involved in CREP: www.crep-psych.org! #stats #psychology

What We’ll Never Know thenewstatistics.com/itns/2025/09... Use these to lobby your politicians, not only if you are in the U.S. Suggest further makers of videos: [email protected]

New version of vcmeta (1.5) for R now out: github.com/dgbonett/vcm.... Some new functions and a few name changes. vcmeta provides all the tools you need for variable-coefficient meta-analysis (no assumption of effect-size homogeneity; probably the best default option?). #stats

Cool paper about JASP's raincloud plots with nice examples of how they can be used, especially for complex designs. I do wish JASP would supplement add to this visualizations of group differences and their uncertainty. #stats doi-org.proxy.cc.uic.edu/10.3758/s134...

"“I ain’t ever bought no prostitutes. I ain’t never raped nobody. I ain’t never paid anybody off. None of that stuff,” said G, a resident from one of the photographed tents. “He’s much more of a criminal than I am”" streetsensemedia.org/article/home...

Just out: JASP 0.95! With sandboxing, a new plot builder, ESCI, and more. jasp-stats.org/2025/08/02/i...

Great new review of forgetting mechanisms in C. elegans -- lots of cool research I had missed (or maybe forgotten about?) #neuroskyence www.sciencedirect.com/science/arti...?

Here's a nice paper in JCB on why testing for exactly no effect is not a great idea when studying biological systems, and how putting effect sizes at the front of our thinking can help. Paper is by Josh Morgan at WashU St. Louis. #stats #neuroskyence rupress.org/jcb/article/...

Feel like an excuse to get that travel money for some sun and surf in November? Consider these two back-to-back meetings Down Under. 16-18 and 19-21 November 2025. researchintegrityconf.com aimos-inc.github.io/aimos.confer...

Look what you can find in the latest version of JASP: **esci** That's right, all your favorite estimation-focused analyses, strong hypothesis testing, and meta-analysis are available in the esci module for JASP 0.95. #stats #metascience Many thanks to the good people at @jaspstats.bsky.social

New Replication Project in sport and exercise science shares it results: Out of 25 replication studies performed, 56% yielded significant results, but only 7 (28%) revealed a similar effect size. Several problems related to the quality of are discussed. link.springer.com/article/10.1...

What stats software should you teach with? Here's a super-comprehensive review of GUI-based options from Thomas Langkamp. The winners (on very reasonable criteria)? JASP and jamovi. Strongly agree! osf.io/preprints/ps... #stats #psychology @jaspstats.bsky.social

I love this paper too! The author, Rick Born, is part of the @comm4rigor.bsky.social which is developing educational units on topics like confirmation bias! For anyone interested in learning more, check out the beta form of the unit at c4r.io (and give us feedback so we can keep improving it)!

Here's a fascinating paper on the interpretation of novel object recognition tests: scores can reflect changes in novelty-preference, not just memory performance! A nice reminder of the "neglected factors" in doing fruitful science. #neuroskyence #stats www.sciencedirect.com/science/arti...

A depressing evaluation of RCT quality for working memory interventions: "In our sample, only an average of 11.9 out of 45 CONSORT items were fully reported per article.. 36 RCTs were deemed high risk for bias, 10 had some concerns, and 1 was rated as low risk." tinyurl.com/5647mu99 #stats

We developed CrossFilt, a read-level, cross-species filtering approach that avoids these errors without sacrificing usable data. It outperforms all existing strategies and exposes just how much signal in comparative genomics has been misread. doi.org/10.1101/2025...

The replication crisis is one of the bad faith justifications for wrecking US science. Fighting antisemitism is one of the bad faith justifications for wrecking US academia. I have no regrets for my efforts towards both these worthy causes. #metascience

Are these points useful? How can a researcher tell the right environment to use? The right appearance? Can they know with much certainty? If all these factors matter, should every conclusion be: in this type of room, with this researcher demeanor, clothing, and attractiveness?

It’s the end of the world as we know it, part 1000: AIs do about as well as medical students on neuroscience exams for med students (multiple choice). It was lovely teaching while it lasted :-( journals.physiology.org/doi/full/10....

If you design a study to test a prediction, you need to be able to falsify it. In frequentist statistics this is achieved through an equivalence test. You can't have an informative test if you can't prove yourself wrong. You need to learn about equivalence testing. lakens.github.io/statistical_...

Cool new findings in Aplysia from the lab of Riccardo Mozzachiodi, showing that sensitization is a complex system of responses: it can produce both increased reflexes and decreased feeding, but these are differently sensitive to stimulation pattern and time of training. doi.org/10.1016/j.ph...

This is really important: these grants have been stolen, not cancelled. It f-ing theft.

Here's an interesting editorial on factors that can influence replication failures: psycnet.apa.org/fulltext/202... @eddiehj.bsky.social There are lots of nice points here, but also some big issues lurking under the surface, I think. #stats #metascience

We just updated our preprint describing our 'ESDist' R package for calculating field-specific effect size distributions, which are useful for both interpretation & study planning. In this version we added options that can account for publication bias and effect size precision doi.org/10.31234/osf...

If a test detects an effect in one group (say, p = 0.01), but not in another group (say, p = 0.06), this does not mean that the effect differs between the two groups. In the words of Miyamoto Musashi: "You must understand this."