Matti Vuorre
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matti.vuorre.com
Matti Vuorre
@matti.vuorre.com
I am an assistant professor at the department of Social Psychology at Tilburg University's School of Social and Behavioral Sciences.

I have a website at https://vuorre.com.

All posts are posts.
The MSFT angry bird 🫡
November 20, 2025 at 10:37 AM
It's always sunny in philadelphia.
November 20, 2025 at 10:34 AM
Microdosing hot peppers! We need more science on this asap.
two police officers shake hands in front of a sign that says fx
ALT: two police officers shake hands in front of a sign that says fx
media.tenor.com
November 20, 2025 at 9:23 AM
For anyone who hasn't seen it yet, season 17 was very good. It brought back a lot of the elements from earlier seasons that made the show what it is (though not all the minor characters I'd have hoped for). I also appreciate the 8 episodes per season format--quality over quantity.
November 20, 2025 at 9:21 AM
So 'working on files on my computer' <-> syncing with a cloud system (github et al.) -> archiving the files and directories (zenodo et al). It's not rocket science!
November 19, 2025 at 12:23 PM
I agree. This might have something to do with supporting "modular" research projects / publishing, but at the very least the UI does not help. I support using something called a 'file system' where projects can have 'directories' and 'files', and those can be easily shared & collaborated on :)
November 19, 2025 at 12:21 PM
Thanks!
November 19, 2025 at 7:31 AM
Time to stop doing non-open reviews or at least complain to the journal? That sucks.
November 18, 2025 at 9:17 PM
How strong is strong? Posteriors for 50% n=2,4,8,16 plz 🙏
November 18, 2025 at 7:41 PM
Yeah makes sense. Also probably 'sensitive' behaviors affected differently / for longer time. What if I just never tell the participants 🥸
November 18, 2025 at 3:31 PM
Nice study! So the implication is to include a "warmup" period of ~5 days and use data only after that? Good to know.
November 18, 2025 at 1:56 PM
It's the 🤷 prior
November 17, 2025 at 8:30 PM
Yup the binomial posterior is the easiest example of prior = data. So here b(0.5, 0.5) is the same as observing previously a trial that was both a success and failure.
November 17, 2025 at 4:15 PM
Unknowing users accidentally adding a whole extra trial to the dataset!
November 17, 2025 at 3:29 PM
It's because all others data is 16/1000 but Bayes data is 16.5/1001 😉
November 17, 2025 at 3:16 PM
They are laughing at US!
November 12, 2025 at 12:31 PM