Brónagh McCoy

@bronaghm.bsky.social

Researcher @ IoPPN, King's College London. Cognitive neuroscience, computational psychiatry, data science. Attention, learning, autism research. Scientist by day, luddite by night.

🚨Now out in Science Advances @science.org: #Parkinson's patients off dopamine medication (PD-) explore too much and exploit too little. Modeling shows they overvalue uncertainty, not that they choose randomly. On levodopa (PD+) they become comparable to controls www.science.org/doi/10.1126/... 🧵👇

Dopamine depletion in Parkinson’s increases directed but not random exploration

Levodopa restores the balance between exploration and exploitation in Parkinson’s disease.

science.org

Observe the rank anthropomorphization here. Models don't "conclude" anything, nor do they "hack", "wriggle", or "cheat". You simply can't write clear informative articles about this stuff if you displace agency away from the people (organized into corporations) responsible. /fin for now.

Screencap:
Rogue AIs going unsupervised for days, hacking at least one company, represent one of the first real-world examples of a threat long feared by AI safety researchers: loss of control. It comes as the cybersecurity capacities of top models, including Anthropic’s Mythos, have helped fuel debate in Washington about how to regulate artificial intelligence.

i assume banning kids from social media will be accompanied by a huge investment in teen-friendly communtiy spaces (like youth clubs) and social activities? No? Huh.

I’ve officially resigned as Associate Editor for Frontiers in Systems Neuroscience. It used to be a reputable journal, but became a case study in how forced automation destroys academic integrity. 👇

Disgusting reporting by BBC using a tiny number of cases to suggest widespread abuse of a system which routinely denies LGBTQIA+ individuals asylum and forces them back into environments of persecution. This article massively distorts the reality of the situation. 1/ www.bbc.co.uk/news/article...

Legal advisers help migrants pose as gay to get asylum, undercover BBC investigation finds

The BBC exposes a shadow industry charging migrants thousands of pounds to help them cheat the asylum system.

bbc.co.uk

How to motivate autistic students: Let them access their strongly held interests! School staff won't need to prompt them much—or even at all, plus the students will be more motivated, independent, & relaxed than when given repetitive tasks. By @thewoodbug.bsky.social: woodbug.blog/2019/03/27/a...

Autistic children and intense interests: the key to their educational inclusion?

Autistic children and adults are often described as ‘obsessive’ or as having ‘narrow’, ‘restricted’ or ‘circumscribed’ interests. And when this trait…

woodbug.blog

When they say the left hates technology ask what? 🚬 or 📚? AI or paper & pens? Redefine tech to mean pollution causing bs and you can say we're anti tech. > Let's talk about the benefits of existing technology. A book isn't full of pop-ups and ads, and it doesn't funnel money and power to big tech.

Felienne Hermans@felienne.bsky.social · 4mo ago

Skipped a week, sorry non-Dutch friends! But this week's newsletter is translated again! www.felienne.nl/2026-14/#eng... (Including a translation of my opening remarks in The Dutch Parliament this week on AI in schools)

Jay Chester, 48, who regularly puts their foot in their mouth during routine social interactions, often redrafts their faux-pas over the course of the following weeks, months or years – but to their dismay, their attempts to submit their revised chitchat has been met with confusion

Autistic writer upset they can’t submit second draft of conversation

An autistic writer has reportedly been left “frustrated” that they are unable to submit the second draft of the very stupid thing they just said in casual conversation. Jay Chester, 48, who regularly…

thedailytism.com

Really important points at the core of debates on the ethical use of AI in all of healthcare, education and research

King's College London@kingscollegelondon.bsky.social · 4mo ago

“AI must be compatible not just with individual users, but with the communities whose collective questioning defines what a practice is for.” In the latest issue of @nature.com, Professor Sylvie Delacroix, from @kcllaw.bsky.social explores the challenges of AI interpretability. ⬇️

I have a new paper. We look at ~all stats articles in political science post-2010 & show that 94% have abstracts that claim to reject a null. Only 2% present only null results. This is hard to explain unless the research process has a filter that only lets rejections through.

It must be very hard to publish null results
Publication practices in the social sciences act as a filter that favors statistically significant results over null findings. While the problem of selection on significance (SoS) is well-known in theory, it has been difficult to measure its scope empirically, and it has been challenging to determine how selection varies across contexts. In this article, we use large language models to extract granular and validated data on about 100,000 articles published in over 150 political science journals from 2010 to 2024. We show that fewer than 2% of articles that rely on statistical methods report null-only findings in their abstracts, while over 90% of papers highlight significant results. To put these findings in perspective, we develop and calibrate a simple model of publication bias. Across a range of plausible assumptions, we find that statistically significant results are estimated to be one to two orders of magnitude more likely to enter the published record than null results. Leveraging metadata extracted from individual articles, we show that the pattern of strong SoS holds across subfields, journals, methods, and time periods. However, a few factors such as pre-registration and randomized experiments correlate with greater acceptance of null results. We conclude by discussing implications for the field and the potential of our new dataset for investigating other questions about political science.

A variation: Scientists who claim they’re “not interested in causality” because they assume the term only applies to deterministic, law-like relationships that are unrealistic in their field. Instead, they’re interested in how “X drives Y”, the effects of X, the “extent to which X matters for Y”>

Julia M. Rohrer@dingdingpeng.the100.ci · 6mo ago

Some people confuse correlation and causation, some people confuse causation and “deterministic direct 1:1 causation” 🥲

Like the “uneducated” explanation, the “religious” one depends on a confusion between correlation and causation. Even if all women today with large families are religious, not all women who are religious have large families. Religion is correlated with total fertility, but not obviously causal.12 That is, something else mediates the association between religion and fertility. We don’t know what that is.

The lesson for all the students out there is that science is a community project. Most of us make individually small contributions to this project. Success is measured at the collective level. Many of our professional (and personal) dysfunctions could be fixed by more fully embracing this view.

The Iowa Gambling Task is an extreme example of Jingle Fallacy and schmeasurement. In 100 articles we found 244 different ways of scoring it, 177 were never reused. Correlations between them range -.99 to .99. At the same time, we show meta-analyses combine these results as if they’re equivalent.

Annika Külpmann@anniria.bsky.social · 6mo ago

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. 🧵