iiinova — where your digital self keeps evolving

Robin Kok @robinnkok.bsky.social · 12/09/2026

Did you hear about the psychiatrist using steroids to "get swole"? A real bad case of shrinkflation.

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Reposted by Robin Kok

Sanjay Srivastava @sanjaysrivastava.com · 10/07/2026

Aren't you sure you don't want to not unsubscribe? ⬜ Yes I'm not ⬜ No I am

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Robin Kok @robinnkok.bsky.social · 25/07/2026

Do refuse collectors wish each other bin voyage when leaving the depot

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Robin Kok @robinnkok.bsky.social · 21/07/2026

Yes I'll bring amazing home made brownies to the office but I'll also be a dick about it

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Robin Kok @robinnkok.bsky.social · 02/07/2026

"Data science started when Blaise Pascal..." (I actually read that somewhere)

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Robin Kok @robinnkok.bsky.social · 27/06/2026

It's simply incredible and impressive how Eurostar manages to combine all the downsides of train travel with all the downsides of plane travel

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Robin Kok @robinnkok.bsky.social · 11/06/2026

There's a grumpy chicken in my garden and it has Opinions

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Robin Kok @robinnkok.bsky.social · 03/06/2026

Very happy to see Florian et al. tackle that smug term "real world evidence", which always sounded me like "University? I earned my degree at the school of hard knocks, mate"

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Robin Kok @robinnkok.bsky.social · 02/06/2026

Generative AI is a magic 8 ball for the mediocre

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Robin Kok @robinnkok.bsky.social · 28/05/2026

Does anyone else get the idea that this AI-fuelled dystopia is basically Revenge of the Nerds but in slow motion and real life?

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Josh Grubbs @joshuagrubbsphd.com · 20/05/2026

having one of those days

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Robin Kok @robinnkok.bsky.social · 16/05/2026

Do ducks go online and find duckbuddies

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Brian Nosek @briannosek.bsky.social · 07/05/2026

Best evidence yet that LLMs can match human capabilities in doing science.

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Robin Kok @robinnkok.bsky.social · 26/04/2026

We've been studying 1984 for decades but real dystopian hell actually turned out to be the self-checkout at Lidl

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Robin Kok @robinnkok.bsky.social · 22/04/2026

"Superretractor" is my favourite new word.

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Overly.Honest.Editor @editoratlarge.bsky.social · 24/02/2026

BSky hive mind, please send help. I've recently (in 2026) seen paper about how people's action on given advice doesn't change much even if they learn advice was given by LLM. Anyone can signpost this, pretty please? #AcademicSky

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Robin Kok @robinnkok.bsky.social · 15/02/2026

Oh good, Gemini has been updated with the new defiance model.

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Health Nerd @gidmk.bsky.social · 05/02/2026

The term ultra-processed food is ridiculous and the entire idea is a painfully silly extension of the naturalistic fallacy

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Robin Kok @robinnkok.bsky.social · 19/01/2026

If you're going to be sloppy in your meta-analysis because you want to ride the AI hype wave, don't put it on PROSPERO (or is it radical transparency?)

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Robin Kok @robinnkok.bsky.social · 28/12/2025

Looking forward to next year's APC prices hikes! 🥺

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Ian Hussey @ianhussey.mmmdata.io · 28/11/2025

"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/...

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Julia M. Rohrer @dingdingpeng.the100.ci · 25/08/2025

Ever stared at a table of regression coefficients & wondered what you're doing with your life? Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social) Preprint: doi.org/10.31234/osf... Website: j-rohrer.github.io/marginal-psy...

Models as Prediction Machines: How to Convert Confusing Coefficients into Clear Quantities

Abstract
Psychological researchers usually make sense of regression models by interpreting coefficient estimates directly. This works well enough for simple linear models, but is more challenging for more complex models with, for example, categorical variables, interactions, non-linearities, and hierarchical structures. Here, we introduce an alternative approach to making sense of statistical models. The central idea is to abstract away from the mechanics of estimation, and to treat models as “counterfactual prediction machines,” which are subsequently queried to estimate quantities and conduct tests that matter substantively. This workflow is model-agnostic; it can be applied in a consistent fashion to draw causal or descriptive inference from a wide range of models. We illustrate how to implement this workflow with the marginaleffects package, which supports over 100 different classes of models in R and Python, and present two worked examples. These examples show how the workflow can be applied across designs (e.g., observational study, randomized experiment) to answer different research questions (e.g., associations, causal effects, effect heterogeneity) while facing various challenges (e.g., controlling for confounders in a flexible manner, modelling ordinal outcomes, and interpreting non-linear models).

Figure illustrating model predictions. On the X-axis the predictor, annual gross income in Euro. On the Y-axis the outcome, predicted life satisfaction. A solid line marks the curve of predictions on which individual data points are marked as model-implied outcomes at incomes of interest. Comparing two such predictions gives us a comparison. We can also fit a tangent to the line of predictions, which illustrates the slope at any given point of the curve.

A figure illustrating various ways to include age as a predictor in a model. On the x-axis age (predictor), on the y-axis the outcome (model-implied importance of friends, including confidence intervals).

Illustrated are
1. age as a categorical predictor, resultings in the predictions bouncing around a lot with wide confidence intervals
2. age as a linear predictor, which forces a straight line through the data points that has a very tight confidence band and
3. age splines, which lies somewhere in between as it smoothly follows the data but has more uncertainty than the straight line.

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Robin Kok @robinnkok.bsky.social · 17/07/2025

"As fax machines were phased out in the late 2010s, engineers desperately sought new ways to annoy, confuse and enrage users. Microsoft SharePoint turned out to be the ideal replacement" - History of Technology, 3rd ed, 2047.

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Robin Kok @robinnkok.bsky.social · 05/07/2025

For all this talk about U-shaped associations, I have found the optimum amount of yoghurt in your beard is 0.

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Avram Holmes @avramholmes.bsky.social · 30/06/2025

The entire field of psychology from 1967 until 2011, and if we are honest with ourselves most of our current research output.

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Robin Kok @robinnkok.bsky.social · 29/06/2025

Generative AI is basically Orwell's "prolefeed" on steroids #showerthoughts

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Mark A. Hanson @hansonmark.bsky.social · 10/06/2025

New from The Strain Team: 🎊 Springer Nature Discovers MDPI 🎊 Springer Nature has spawned a copycat journal series called "Discover" mimicking #MDPI journal titles and citation behaviours. We even made a browser game to prove it (see 🔗). Gross! 😀 1/n #ResearchIntegrity #SciPub #AcademicSky

the-strain-on-scientific-publishing.github.io

Spinger Nature Discovers MDPI – The Strain on Scientific Publishing

Home page for the paper ‘The Strain on Scientific Publishing’ by Mark A Hanson, Dan Brockington, Paolo Crosetto and Pablo Gomez Barreiro

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Graham Kendall @grahamkendall.bsky.social · 23/05/2025

In a recent paper of mine, I suggested that the article processing charges (APCs) that were paid should be shown on the aricle, and it shoud also be stated which author(s) paid the APC. 🧵

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Tim Kaiser @tkaiser.science · 20/05/2025

This is also a good time to remind people that, according to the best available evidence, LLM-based chatbot therapy is about as effective as unguided self-help and might not even work for symptoms other than depression.

pubpeer.com

PubPeer - Randomized Trial of a Generative AI Chatbot for Mental Healt...

There are comments on PubPeer for publication: Randomized Trial of a Generative AI Chatbot for Mental Health Treatment (2025)

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Gary Collins @gscollins.bsky.social · 29/04/2025

NEW PAPER: Updated SPIRIT-2025 for reporting protocols of randomised trials is now available in the @BMJ.com, @JAMA.com, @thelancet.bsky.social, @PLoS.org, and @natmedicine.bsky.social. —> www.bmj.com/content/389/... #openscience #transparency #medsky #statssky #episky

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Robin Kok @robinnkok.bsky.social · 29/03/2025

I'm not distracted, I just have a hyperfocus on everything

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Gordon Hodson @gordonhodsonphd.bsky.social · 26/03/2025

#AcademicSky #AcademicPublishing #AcademicChatter Opening up more journals because we produce too much output that no-one reads or needs

cartoon: driver in 2 lane highway wants road widened, pleased when it's 3 lanes (but it's just as congested)

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Robin Kok @robinnkok.bsky.social · 19/03/2025

Confuse, bewilder and alarm your Gen Z coworkers by citing Sabrina Carpenter lyrics in your meetings. They: "That meeting was a mess, I have no idea how to follow up" Me: "You're confused and I'm upset but we never talk about it"

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Masud Husain @masudhusain.bsky.social · 06/03/2025

Why academia is sleepwalking into self-destruction. My editorial @brain1878.bsky.social If you agree with the sentiments please repost. It's important for all our sakes to stop the madness academic.oup.com/brain/articl...

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Robin Kok @robinnkok.bsky.social · 04/03/2025

The journal that published this AI-generated dross has an impact factor of 6.9 and charges $3450 per paper.

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Robin Kok @robinnkok.bsky.social · 24/02/2025

Hear me out. What if we build a border...

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Robin Kok @robinnkok.bsky.social · 18/02/2025

Every time I see one of these I want to call out "SCORCHIO!"

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Robin Kok @robinnkok.bsky.social · 17/01/2025

Not quite what we wanted the reboot of "Revenge of the Nerds" to look like.

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