Do I have a paper for you! aclanthology.org/W19-2102/

Happy to collaborate with this project 🙏🏻😊

GitHub - vthorrf/YABS: Yet Another Bayesian Sampler Yet Another Bayesian Sampler. Contribute to vthorrf/YABS development by creating an account on GitHub.

YABS version 0.4.0 — "Let's Go Nuts!" is out: github.com/vthorrf/YABS
The new features include:
* NUTS for parameter estimation;
* Plethora of information criterion for model assessment (WAIC, WBIC, MDL, ICOMP, IFIM, etc); and
* PSIS for LaplaceApproximation.
Go check it out :)

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. 🧵

And we're live, Lecture A1 is online. Introduction to Bayesian workflow, generative models, estimands, estimators, estimates, error checking, beginnings of probability theory and Bayesian updating. www.youtube.com/watch?v=ztbY...

The 1.3.0 version of my {brms} + {tidyverse} translation of Kruschke's "Doing Bayesian data analysis" is up!

solomon.quarto.pub/dbda2

#rstats

1/8

Scale of the Universe: Discover the vast ranges of our visible and invisible world. Scale of Universe is an interactive experience to inspire people to learn about the vast ranges of the visible and invisible world.

Really nice, congrats! It remembered me of an old classic: scaleofuniverse.com/en

Made a site comparing the sizes of living things :)

The great Julius Csotonyi spent 5 months painting over 60 illustrations for the site, no ai used

> neal.fun/size-of-life/

Truly the stupidest cult. Obsessed with a drug that doesn't work against an infectious disease that they don't even think is real.

Kind reminder: data driven variable selection (e.g. forward/stepwise/univariable screening) makes things *worse* for most analytical goals

Wow, thanks for the kind words 🙏🏻😊

This is actually a simple general purpose sampler for building Bayesian models using R only (like a spiritual successor of LaplacesDemon). I use it for teaching mostly, as students have a hard time learning Stats+R+Stan, so I at least remove one step from the process 🙏🏻

GitHub - vthorrf/YABS: Yet Another Bayesian Sampler Yet Another Bayesian Sampler. Contribute to vthorrf/YABS development by creating an account on GitHub.

It is definitely worth! I did this with my package: github.com/vthorrf/YABS super useful for my own learning and teaching :)

Experimentology cover: title and curves for distributions.

Experimentology is out today!!! A group of us wrote a free online textbook for experimental methods, available at experimentology.io - the idea was to integrate open science into all aspects of the experimental workflow from planning to design, analysis, and writing.

AIC comparing discrete to continuous (or mixed discrete/continuous to continous) models? Run away!
notstatschat.rbind.io/2025/07/22/a...

Maybe try "gold" or any of its variations if you are using R

Table 1 Typology of traps, how they can be avoided, and what goes wrong if not avoided. Note that all traps in a sense constitute category errors (Ryle & Tanney, 2009) and the success-to-truth inference (Guest & Martin, 2023) is an important driver in most, if not all, of the traps.

NEW paper! 💭🖥️

“Combining Psychology with Artificial Intelligence: What could possibly go wrong?”

— Brief review paper by @olivia.science & myself, highlighting traps to avoid when combining Psych with AI, and why this is so important. Check out our proposed way forward! 🌟💡

osf.io/preprints/ps...

The case for #SlowScience has never been stronger.

We must prioritise thoughtful, creative, and collaborative research that cannot be mimicked by these plagiarism machines.

#statstab #335 Bayesian New Statistics

Thoughts: An influential paper with a great overview of different approaches to research.

#bayesian #nhst #nhbt #estimation #testing #frequentist
link.springer.com/content/pdf/...

Nice! I am happy to help 🙏🏻

No problem :) Could you please try running the attached example? I am using Windows and it worked just well.

Sorry! I forgot to come back here yesterday. The error means that the workers (i.e., each core) can't properly access the function. I know this may be too basic, but did you remember to load the package in each worker?

Are you using your own non-native language function or is it a function from some package?

Didn't know you are Swedish

Genuine question to psychologists and other social scientists here: Have you been taught/Are you teaching that when designing a study/survey you should not ask about demographic stuff first? If so, what was the explanation given to you/you give?

If one wanted to hire a professional #rstats #rshiny developer to work work with qualitative/text data in particular (so many involve a dashboard for search/semantic/sentiment analyses), do you have any recommendations of individuals or companies? (please repost)

Study: Psychological booster shots targeting memory increase long-term resistance against misinformation

"...text-based & video-based inoculation interventions can remain effective for one month..."

www.nature.com/articles/s41... by @profsanderlinden.bsky.social @lewan.bsky.social et al.

How can we reduce conceptual clutter in the psychological sciences?

@ruimata.bsky.social and I propose a solution based on a fine-tuned 🤖 LLM (bit.ly/mpnet-pers) and test it for 🎭 personality psychology.

The paper is finally out in @natrevpsych.bsky.social: go.nature.com/4bEaaja

Are you doing EMA research and wonder how to go about it? In recent work we've adressed some open questions and challenges, here is a brief summary of papers and materials.

🧵 #PsychSciSky 🧪 #StatsSky

Individual, intergroup and nation-level influences on belief in conspiracy theories - Nature Reviews Psychology Conspiracy theories have the potential to undermine governments, promote racism, ignite extremism and threaten public health efforts. In this Review, Hornsey et al. synthesize the literature on factor...

Individual, intergroup and nation-level influences on belief in conspiracy theories

Review by Matthew J. Hornsey, Kinga Bierwiaczonek, Kai Sassenberg & Karen M. Douglas

Web: go.nature.com/3VoNjiv
PDF: rdcu.be/d9Lay