iiinova — where your digital self keeps evolving

Reposted by Jesper N. Wulff

Julia M. Rohrer @dingdingpeng.the100.ci · 15/09/2026

The question that’s dominating the field is not a causality question. It’s really, how can one sell a causal relationship while crafting the language so that there’s plausible deniability when somebody criticizes anything.

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Brian Nosek @briannosek.bsky.social · 12/09/2026

The cover-up is always worse than the crime? Harvard's latest filing says that Gino manipulated a file to cover-up fabrication, hid the laptop used to do it during the discovery process, and did more [redacted] destruction of evidence after being compelled by the court to share the laptop.

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Julia M. Rohrer @dingdingpeng.the100.ci · 05/09/2026

Fun little game in which a human life is randomly drawn for you. I ended up a girl, born in the Yangtze Basin in 670 CE. Died in infancy at 6 months 🥲 anyhumanever.com

anyhumanever.com

Any Human Ever

One life, drawn at random from all who have ever lived.

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Data Colada @datacolada.bsky.social · 03/07/2026

The Cover-Up in Gino v Harvard datacolada.org/136

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Jesper N. Wulff @jnwulff.bsky.social · 02/09/2026

The gift that keeps on giving

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Jesper N. Wulff @jnwulff.bsky.social · 25/08/2026

Haha, best search tip ever 😂

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Daniel Lakens @lakens.bsky.social · 04/08/2026

We compute a number that should be higher or lower than a criterion. If the effect size is larger than a critical value, it the t-value is larger, or a p-value is smaller, you can say there is something because the long run probability that you are fooling yourself is small enough.

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Daniel Lakens @lakens.bsky.social · 03/08/2026

In the last 2 years I (and our lovely collaborators) have been rather obsessively working on Metacheck - a tool to automatically check best practices in papers. In this RIOTS summerschool talk, I walk you through what the tool can do, and future plans www.youtube.com/watch?v=OWd2...

youtube.com

Metacheck: automatically check papers for best practices - Daniel Lakens

Can automated tools help researchers catch problems before their work is published? In this talk from the King’s Open Research Summer School 2026, Professor Daniël Lakens (Eindhoven University of…

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Daniel Lakens @lakens.bsky.social · 01/08/2026

I was not reviewer 2. But I am so annoyed by Americans pretending the whole open science movement is funded by John Arnold. His investments are absolutely dwarfed by what the European Union and European science funders have invested in Open science. Only incredibly biased people would ignore this.

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Daniel Benneworth-Gray @danielgray.com · 13/07/2026

Sam Neill on tackling depression and imposter syndrome when you’re between jobs.

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Daniel Lakens @lakens.bsky.social · 25/05/2026

New blog post: Evaluating Dr. Cuddy’s Claim that the Debunking of Power Posing is a Myth. daniellakens.blogspot.com/2026/05/eval... On an AI generated description of a non-existent study, incorrectly citing findings from studies, and the importance of scientific criticism.

daniellakens.blogspot.com

Evaluating Dr. Cuddy’s Claim that the Debunking of Power Posing is a Myth

In this blog post I will analyse the arguments that Dr. Amy Cuddy provided in a blog post “The "Power Posing Was Debunked" Myth: What the Re...

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Richard D. Morey @richarddmorey.bsky.social · 25/05/2026

One of the arguments put to me re: scientific reform is essentially that it will sort itself (poor science is ignored) but of course things only get sorted if scientists are *constantly* doing the difficult work of evaluating competing claims, so "grey" science doesn't spread.

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Jesper N. Wulff @jnwulff.bsky.social · 21/05/2026

"If I hated to be the bearer of bad news, I wouldn’t have specialized in research methods."

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Jesper N. Wulff @jnwulff.bsky.social · 21/05/2026

"If I hated to be the bearer of bad news, I wouldn’t have specialized in research methods." - pure comedy 😂 I need to put that quote somewhere asap.

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Led By Donkeys @ledbydonkeys.org · 17/05/2026

Immigration make Britain brilliant

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Stephen Wild @stephenjwild.bsky.social · 07/05/2026

Love it

An incorrect formula for standard deviation.

in pseudo code:

sum(sqrt((sum(x-i)^2)/n))

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Jesper N. Wulff @jnwulff.bsky.social · 01/04/2026

In this enormous meta-research project we put claims in social-science papers to the test and the results from the project have now been published in Nature.

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Greg Pak @gregpak.net · 09/03/2026

i’ve watched this three times. VERY satisfying.

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Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 08/03/2026

Last week, I mentioned this in passing in a workshop: In 1938 Enrico Fermi won a Nobel Prize for discovering two new elements of the periodic table. Lise Meitner shortly showed that Fermi was mistaken and instead had produced known lighter elements by fission. She did not win a Nobel prize.

Portrait of Lise Meitner taken in 1928. She is smoking a cigarette and looking impatient to get back to her experiments.

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Ben Collins @bencollins.bsky.social · 10/02/2026

Listen to this. Not a penny more for this. Abolish and prosecute anyone who had anything to do with it.

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Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 02/02/2026

Wow this scoring chaos seems to be an extreme case of what I say about many ad hoc analyses: no derivation of method from a clear scientific theory, no assessment of statistical properties, and decades pass before someone notices. This happens in biology too, so let’s not pick on psychology only

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samuel mehr @mehr.nz · 05/11/2023

who did this

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Jesper N. Wulff @jnwulff.bsky.social · 14/01/2026

Thanks! I'll give it another go.

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Jesper N. Wulff @jnwulff.bsky.social · 09/01/2026

This looks very cool. Downloaded it, but then I needed something called Azul Zulu JRE with JavaFX, which I never heard of before. Downloaded that and then it wouldn't install. If you want more people to use this, make a browser app so anyone can just click a link, upload their thing and then go.

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Jesper N. Wulff @jnwulff.bsky.social · 06/01/2026

Multiple entities over multiple time periods, e.g., same people across years. So at least two periods as long as the same people are observed in both periods.

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Ben Williamson @benpatrickwill.bsky.social · 19/12/2025

(Also, icyi, here are the 42 papers citing our non-existent paper which includes a "meta-analysis" - often called the evidence "gold standard" - of "LLM effects" in education 🤮 scholar.google.com.vn/scholar?star...)

scholar.google.com.vn

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Ian Hussey @ianhussey.mmmdata.io · 12/12/2025

Keeping this at hand in case I need to point to it and tap

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Andrew Heiss @andrew.heiss.phd · 09/12/2025

Some closing thoughts for my students this semester on LLMs and learning #rstats datavizf25.classes.andrewheiss.com/news/2025-12...

Will you incorporate LLMs and AI prompting into the course in the future?
No.

Why won’t you incorporate LLMs and AI prompting into the course?
These tools are useful for coding (see this for my personal take on this).

However, they’re only useful if you know what you’re doing first. If you skip the learning-the-process-of-writing-code step and just copy/paste output from ChatGPT, you will not learn. You cannot learn. You cannot improve. You will not understand the code.

In that post, it warns that you cannot use it as a beginner:

…to use Databot effectively and safely, you still need the skills of a data scientist: background and domain knowledge, data analysis expertise, and coding ability.

There is no LLM-based shortcut to those skills. You cannot LLM your way into domain knowledge, data analysis expertise, or coding ability.

The only way to gain domain knowledge, data analysis expertise, and coding ability is to struggle. To get errors. To google those errors. To look over the documentation. To copy/paste your own code and adapt it for different purposes. To explore messy datasets. To struggle to clean those datasets. To spend an hour looking for a missing comma.

This isn’t a form of programming hazing, like “I had to walk to school uphill both ways in the snow and now you must too.” It’s the actual process of learning and growing and developing and improving. You’ve gotta struggle.

This Tumblr post puts it well (it’s about art specifically, but it applies to coding and data analysis too):

Contrary to popular belief the biggest beginner’s roadblock to art isn’t even technical skill it’s frustration tolerance, especially in the age of social media. It hurts and the frustration is endless but you must build the frustration tolerance equivalent to a roach’s capacity to survive a nuclear explosion. That’s how you build on the technical skill. Throw that “won’t even start because I’m afraid it won’t be perfect” shit out the window. Just do it. Just start. Good luck. (The original post has disappeared, but here’s a reblog.)

It’s hard, but struggling is the only way to learn anything.

You might not enjoy code as much as Williams does (or I do), but there’s still value in maintaining codings skills as you improve and learn more. You don’t want your skills to atrophy.

As I discuss here, when I do use LLMs for coding-related tasks, I purposely throw as much friction into the process as possible:

To avoid falling into over-reliance on LLM-assisted code help, I add as much friction into my workflow as possible. I only use GitHub Copilot and Claude in the browser, not through the chat sidebar in Positron or Visual Studio Code. I treat the code it generates like random answers from StackOverflow or blog posts and generally rewrite it completely. I disable the inline LLM-based auto complete in text editors. For routine tasks like generating {roxygen2} documentation scaffolding for functions, I use the {chores} package, which requires a bunch of pointing and clicking to use.

Even though I use Positron, I purposely do not use either Positron Assistant or Databot. I have them disabled.

So in the end, for pedagogical reasons, I don’t foresee me incorporating LLMs into this class. I’m pedagogically opposed to it. I’m facing all sorts of external pressure to do it, but I’m resisting.

You’ve got to learn first.

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Julia M. Rohrer @dingdingpeng.the100.ci · 07/12/2025

“No, we’ve all accepted that the goal is to publish anything and everything and see what sticks. More students. More “collaborations”. So many papers that no human can possibly be paying very much attention to any of it. And we all know where the incentives lie.”

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Erik Angner @erikangner.com · 27/11/2025

"Runctitiononal features"? "Medical fymblal"? "1 Tol Line storee"? This gets worse the longer you look at it. But it's got to be good, because it was published in Nature Scientific Reports last week: www.nature.com/articles/s41... h/t @asa.tsbalans.se

Infographic with AI slop published in Nature Scientific Reports

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Andrew Heiss @andrew.heiss.phd · 21/11/2025

hahahaha just got an email from someone who was using Claude to generate a boilerplate #QuartoPub document and the LLM *used my name* as the author. The computers are literally trying to be me now 😂🤣🙃🫠

A Quarto document in RStudio with the author field set to "Andrew Heiss"

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Jesper N. Wulff @jnwulff.bsky.social · 20/11/2025

Which tools are you using for making them?

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ElieNYC @elienyc.bsky.social · 19/11/2025

I know that at this point it's a subplot in the Epstein files drama, but I feel compelled to point out, once again, that Larry Summers HAS NO BUSINESS teaching students at ANY university ever again! My latest cries into the abyss, in @thenation.com www.thenation.com/article/soci...

thenation.com

Why Is Larry Summers Still Employed?

The revelations about the economist’s attempts to pressure a women into a “relationship”—with guidance from Jeffrey Epstein—should finally disqualify him from teaching students.

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Retraction Watch @retractionwatch.com · 16/11/2025

A paper critiquing post-publication peer review has numerous made-up references, including a @nature.com article falsely attributed to our Ivan Oransky. link.springer.com/article/10.1...

pubpeer.com

PubPeer - An expert criticism on post-publication peer review platform...

There are comments on PubPeer for publication: An expert criticism on post-publication peer review platforms: the case of pubpeer (2025)

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Jesper N. Wulff @jnwulff.bsky.social · 17/11/2025

I've used your book several times for a graduate course on Bayes stats for business and data science students with great success. If you divide into beginner and adv. I imagine the first half would fit well for a bachelor level course.

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Aaron Parnas @aaronparnas.bsky.social · 16/11/2025

NEW: Epstein survivors release the most powerful PSA I have ever seen. Make this go viral so every member of the House of Representatives sees it.

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Cursor @cursortue.bsky.social · 13/11/2025

TU/e has gained a new research centre: META/e. Daniël Lakens and Krist Vaesen were among the founders of this knowledge hub for metascience—research aimed at improving the practice of science itself. “We want to be a home for every researcher who occasionally wonders: what are we even doing?”

cursor.tue.nl

Knowledge centre META/e: home for those improving science

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Daniel Lakens @lakens.bsky.social · 28/09/2025

New blog post on Gelman's recent claim that Type S and M errors are intended as a 'rhetorical tool', and if I was wrong to believe they were recommended more routinely in our recent preprint criticizing the idea of Type S and M errors. daniellakens.blogspot.com/2025/09/type...

daniellakens.blogspot.com

Type S and M errors as a “rhetorical tool”

We recently posted a preprint criticizing the idea of Type S and M errors ( https://osf.io/2phzb_v1 ). From our abstract: “While these conce...

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Joachim Baumann @joachimbaumann.bsky.social · 12/09/2025

🚨 New paper alert 🚨 Using LLMs as data annotators, you can produce any scientific result you want. We call this **LLM Hacking**. Paper: arxiv.org/pdf/2509.08825

$We present our new preprint titled "Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation". We quantify LLM hacking risk through systematic replication of 37 diverse computational social science annotation tasks. For these tasks, we use a combined set of 2,361 realistic hypotheses that researchers might test using these annotations. Then, we collect 13 million LLM annotations across plausible LLM configurations. These annotations feed into 1.4 million regressions testing the hypotheses. For a hypothesis with no true effect (ground truth $p > 0.05$), different LLM configurations yield conflicting conclusions. Checkmarks indicate correct statistical conclusions matching ground truth; crosses indicate LLM hacking -- incorrect conclusions due to annotation errors. Across all experiments, LLM hacking occurs in 31-50\% of cases even with highly capable models. Since minor configuration changes can flip scientific conclusions, from correct to incorrect, LLM hacking can be exploited to present anything as statistically significant.$

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Jesper N. Wulff @jnwulff.bsky.social · 25/09/2025

What corresponds to the Z-test in this analogy? If the P-curve is the W-test then what is the Z-test?

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