I don't recall ever hearing someone call themselves a technologist (outside some qualified form in a medical field) but in the past couple of weeks I have come across several accounts on here self-describing as such. Have I been living under rock or is this some kind of recent trend?

You can now watch Jeremy's excellent talk on the term "association" and what it's even supposed to be referring to on YouTube. Must watch if you're doing associational research! www.youtube.com/watch?v=IKdC...

A MUST attend for anyone who does mediation analyses. And if you're in London, you can attend in person!!!

I've been trying to verbalize this sentiment for a while now and this comparison hit the nail right on the head. The technology won't go away, but it seems hard to believe that the current pervasiveness will be the steady state we settle into.

Great to see this investigated. I suspect we'd see it everywhere if we bothered to look. More thoughts below, in the context of diabetes. www.thelancet.com/journals/lan... (with @f2harrell.bsky.social and @maartenvsmeden.bsky.social)

Not an original thought, but for *reasons* this morning I am feeling intensely aware of the fact that the ability of spreadsheets to simultaneously serve as data entry, storage, and processing devices is the key to both their widespread use and the near-certainty of their footgunization.

@philippmusfeld.bsky.social , @joschadutli.bsky.social, @koberauer.bsky.social and I wrote up the result of three years of in lab discussions on setting priors in GLMs. Hope some of you find the proposed workflow and our recommendations helpful! #bayes #glm #brms #rstats

Just recently I became aware of the use of p-value scatterplots to discuss replication and a flood of questions about the practice came to my mind. Absolutely perfect timing for this study to come out!

Going through Altman's old statistics notes. This one is brilliant. It clearly shows why testing in low likelihood situations leads to so many false positives. The thing that is striking is how brief these are. i.e. you don't need lots of words; just the right ones. www.bmj.com/content/309/...

Maybe a related thought: with colleagues, we discuss a bit that the first two years or so of an UG maths degree is very "greatest hits": you see important and enduring definitions and results, and they've been distilled over time to have "good" proofs of themselves. This is an achievement.

I don't know if this is advice anyone still gives out today, but I had it in the back of my mind that project-as-package was a thing at some point. Gave it a shot late last year for a replication package and my conclusions were very much in line with this post: www.milesmcbain.com/posts/an-oka...

Nice clear presentation of commonplace meta-analysis failure mode: Pooling coefficients that mean different things, because original models had different adjustment sets. A coefficient gets its meaning from the whole model, not just from the predictor variable it multiplies.

🧵1/ Our first meta-science paper (with 350+ coauthors) is published today in Nature. It presents one of the largest-ever reproducibility projects in economics & political science. Here’s what we found 👇

I blogged about data model and likelihood being different things and importance of using these terms correctly (with some excerpts from the forthcoming Bayesian Workflow book, but we talk about these much more in the book)

New short paper forthcoming in Statistics & Probability Letters: An objective non-local prior for skew-symmetric models. arxiv.org/abs/2603.08285 This paper develops a Moment-Objective Minimum-Discrepancy (MOOMIN) Prior for testing symmetry against skew-symmetric alternatives.

Super excited to see that somebody finally wrote about this 🥳 If you do research about research, you really need causal thinking (just like when you do research about anything else really).

Episode 2 of my trilogy on building replication packages for social scientists is now out! i4replication.org/a-researcher... 😉

Interesting take! Feels intuitively correct, but I think it's something that probably could be tested empirically.

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...

Have you seen this gem of a resource for #DataViz with R?!

The AI Summit is today! We look forward to celebrating the opening of ELLIS Institute Finland and hearing from stellar speakers in AI research, business and government. Tune in to the livestream areena.yle.fi/1-76514739 starting at 10:00 EET. Check out the program here: aisummit.fi @ellis.eu

The link between the gut #microbiome and autism is not backed by science, researchers say. Read the full opinion piece in @cp-neuron.bsky.social: spkl.io/63322AbxpA#microbiome @wiringthebrain.bsky.social, @statsepi.bsky.social, & @deevybee.bsky.social

I had a lovely catch up chat with @jamesheathers.bsky.social at the weekend. I am thoroughly inspired by the work he and team are doing at the Medical Evidence Project. They act on tip offs for fraudulent and/or inaccurate science used to shape medical practice. Know any? medicalevidenceproject.org

Very cool (from Ehm-Gneiting-Jordan-Krüger, JRSSB 2016): for mean estimation, all consistent scoring rules can be obtained as conic combinations of 'extremal' consistent scoring rules, with an explicit structure. Similar results hold for quantiles (and perhaps other tasks as well!).

I appreciate @bmj.com follows a formal process, but just how much evidence do they need before adding an Expression of Concern. Numerous PubPeer comments for stem cell for heart disease paper - which had huge media attention hailing it as a medical breakthrough. pubpeer.com/publications...

I am excited to share that I am looking for a #postdoc with an interest in causal machine learning to join my lab at TU Dortmund University and RC Trust. #hiring #causality #ML #AI 📅 03.12.25 Group: rc-trust.ai/groups/causa... Details: tinyurl.com/4622p6at

Multiverse analysis! 👁️👁️

You can now find a recording of my course "Introduction to Bayesian Statistics in R & brms" on youtube. Slides & code available here: github.com/benjamin-ros... #Rstats

The detectCores() apocalypse is creeping up on us 👻🐛 As more people are getting access to 128+ CPU cores, code spinning up parallel cluster with detectCores() workers fails - not enough #RStats connections available Friends, do *not* default to detectCores(), bc www.jottr.org/2022/12/05/a...

Now I'm also looking for a research software engineer to implement a pile of research results to R packages loo, posterior, bayesplot, projpred, priorsense, brms or/and Python packages ArviZ, Bambi and Kulprit. Apply by email with no specific deadline (see contact info at users.aalto.fi/~ave/)

We wrote an article explaining why you shouldn't put several variables into a regression model and report which are statistically significant - even as exploratory research. bmjmedicine.bmj.com/content/4/1/.... How did we do?

"Universities have existed for more than a thousand years — and for almost all of that time, they weren’t centers of research. What changed in 19th century Germany?" asteriskmag.substack.com/p/the-origin...

New blogpost on my concerns about Wellcome LEAP new $50m program on autism/microbiome links. deevybee.blogspot.com/2025/10/a-le... #autism #microbiome #biomarkers #diagnostic

“Multiverse analyses require thorough, theory-based model selection. Otherwise, they become a ‘dangerous tool’ that drowns valid models in misspecified ones, needlessly eroding trust in science.” A plea for thoughtful models by @kauspurg.bsky.social #MetaSci

How FAIR is shared data in psychology? We analyzed 11,384 datasets (2013–2024): They're findable, but less reusable! What relates most to differences in FAIRness? #Repository choice. 👉 Preprint: doi.org/10.23668/psy... @mariogollwitzer.bsky.social @kaisassenberg.bsky.social #metascience #SciSci

Write code to make being human easier. Rip code out if it makes being human harder. Write code to make caring for each other easier. Rip it out if it makes caring for each other harder. Empathy driven development has literally never failed me. It’s done me better than everything else combined

New DP @i4replication.bsky.social: Meta-analysis on green nudges correcting for publication bias. "Behavioral interventions on households and individuals are unlikely to deliver material climate benefits." www.econstor.eu/bitstream/10...

Just finished reading this *excellent* article by Gabriel et al. which discusses which effects can be identified in randomized controlled trials. With DAGs!> link.springer.com/article/10.1...

Took part yesterday in @freieuniversitaet.bsky.social's Replication Games, it was such a nice experience! People were lovely and the work was a very fun challenge. Thanks to @i4replication.bsky.social and @janmarcus.de for organizing this, it was absolutely worth enduring the ride from Dortmund. 😄

🚨I4R is looking to hire postdoc fellows in public health and computer science! The postdoc will join a team of researchers and help mass reproduce studies in leading public health journals or develop AI replicator agents. Info 👇

I4R Replication Games coming to Münster! @i4replication.bsky.social @aufdroeseler.bsky.social @fialalenka.bsky.social