Paul Stillman

@stillman.bsky.social

Behavioral Scientist studying self-control and motivation. Assistant Professor at Boston University

Just left a comment here (today is the last day), encourage any other American researchers to do the same. And after this administration is gone we're going to need some pretty massive efforts to undo all the damage that has been done to science over the past two years.

Phil Plait@philplait.bsky.social · 4w ago

Whoa, over a quarter million people (so far!) have left a comment on the egrgious openly fascist takeover attempt of the OMB. You can too! @standupforscience.net has instructions and everything you need. It's not hard, and it's critically important to science. fight2win.standupforscience.net

Earlier this year researchers at Stanford University published a paper on a protein that seemingly broke the Central Dogma, the cardinal rule of biology. For @sequencermag.bsky.social, I wrote about whether the scientific dogmas are important at all. www.sequencermag.com/when-the-cen...

When the Central Dogma bends, will it break?

The discovery of a protein that seemingly contradicts a fundamental law of biology raises a question: how important are those laws anyway?

sequencermag.com

And also a million think-tanks and non-profits like the Manhattan Institute, AEI, Heritage, Brownstone, FAIR/CIS, Society for Evidence Based Gender Medicine, Genspect, etc and they all have PR connections to land op-eds in every major news paper every month for all eternity

Post nicht verfügbar.

How does amount of counterattitudinal information influence whether and how much attitudes change? Rydell et al. (2007) found that implicit evaluations changed slowly and incrementally, whereas explicit evaluations changed abruptly in response to counterattitudinal info.

A plot showing incremental implicit evaluation change in response to 20, 40, 60, 80, and 100 counterattitudinal statements.A plot showing abrupt explicit evaluation change in response to 20, 40, 60, 80, and 100 counterattitudinal statements.

First real post on the new blog! If you follow human genetics, you've likely of "missing heritability". If you look at twins to estimate heritability, you get values much larger than what molecular genomic methods produce. IQ, for example, goes from 50-80% heritability to 10-15%. Which is right?

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Has anyone else experienced Claude going in circles while trying to generate code? I feel like I've gotten variants on the following response quite a few times when trying to use it for relatively niche behavior in R (also the answer it gives here and lower in the post is wrong)

Chat with claude, where the prompt is "I am using unnest_wider on a column-list that contains an unnamed numeric vector, and I want to specify column names. How do I do that within the unnest_wider call?" and the response from claude is:

You can use the names_sep parameter combined with the names_repair approach, but the most direct way is the names_transform — actually, the right parameter is names_repair... let me be precise:
The correct parameter is names_repair — no, actually the one you want is:
Use the names_repair argument — no. The answer is ptype — no.
Let me be direct: use the names_to argument — actually the correct answer is:

✅ Use unnest_wider() with a named list, or use the names_sep + names_repair combo
For an unnamed numeric vector, the cleanest solution is the names_repair argument — but specifically, the dedicated way to supply names is:
rdf |>
  unnest_wider(col, names_sep = "_")

Introducing Datapages, a new project from Mika Braginsky and me. Datapages are open-source templates for creating interactive websites that make research datasets easy to find, explore, and reuse. No coding required for the basic setup. babieslearninglanguage.blogspot.com/2026/04/data...

Datapages for reusable (and pretty!) data sharing

Blog about fatherhood, langauge, developmental psychology, and cognitive science.

babieslearninglanguage.blogspot.com