Matti Vuorre | Lightnews

Matti Vuorre @matti.vuorre.com · 2h

Looks like this project is just a list of links to datasets, mostly on OSF, so there's no attempts at harmonizing or curation (beyond links). It should still be useful given how difficult it can be to find relevant datasets.

Matti Vuorre @matti.vuorre.com · 3h

Projects like this & applying integrative analysis methods are very exciting. I bet there's more to do with all the data we collect & curation and good use of metadata is currently underappreciated

William Ngiam | 严祥全 @williamngiam.github.io · 1d

Do you have an open working memory dataset and want it to be findable and reused? You can now add it to the Open WM Data Hub: williamngiam.github.io/OpenWMData! The collection of datasets tagged with useful metadata is steadily growing thanks to a small team of volunteers!

OpenWMData

A collection of publicly available working memory datasets

williamngiam.github.io

Matti Vuorre @matti.vuorre.com · 3h

This is the right move.

Matti Vuorre @matti.vuorre.com · 17h

I also enjoyed this @tomchivers.bsky.social book. Other than not talking about how Lord of The Rings is actually about Bayesian statistics it's a good read!

Vilgot Huhn @vilgothuhn.bsky.social · 19h

Perhaps this reveals a poor understanding of Jaynes (a book I tried to read but instead got sad I don't know enough math to follow along) but I think the boundary between "thinking like a Bayesian" and "just thinking carefully" is pretty vague. I wrote a bit about this in a popsci-book review once.

Book review: Everything Is Predictable

Tom Chivers has written a new popular science book on Bayes. I liked it and I have some thoughts.

unconfusion.substack.com

Vilgot Huhn @vilgothuhn.bsky.social · 19h

Perhaps this reveals a poor understanding of Jaynes (a book I tried to read but instead got sad I don't know enough math to follow along) but I think the boundary between "thinking like a Bayesian" and "just thinking carefully" is pretty vague. I wrote a bit about this in a popsci-book review once.

Book review: Everything Is Predictable

Tom Chivers has written a new popular science book on Bayes. I liked it and I have some thoughts.

unconfusion.substack.com

William Ngiam | 严祥全 @williamngiam.github.io · 1d

Do you have an open working memory dataset and want it to be findable and reused? You can now add it to the Open WM Data Hub: williamngiam.github.io/OpenWMData! The collection of datasets tagged with useful metadata is steadily growing thanks to a small team of volunteers!

OpenWMData

A collection of publicly available working memory datasets

williamngiam.github.io

Matti Vuorre @matti.vuorre.com · 5d

What does this do? Allow you to write

```{r}
#| fig-cap: Number of participants was {data$n}.
```

?

Matti Vuorre @matti.vuorre.com · 5d

Eläkeläiset lol, why?

Matti Vuorre @matti.vuorre.com · 5d

And that's a fine conclusion too (if we can be confident in it) and should directly inform the next experiment (probably need way more participants then.)

Matti Vuorre @matti.vuorre.com · 6d

Thanks, interesting paper. I'm missing a conclusion in the example write-up. Is it that the hypotheses (JND & prior SD) are so uncertain that there cannot be a conclusion? I find this generally the stickiest point against interval tests.

Matti Vuorre @matti.vuorre.com · 6d

4 of 17 member institutions are in the Netherlands 🇳🇱

Society for the Improvement of Psychological Science (SIPS) @improvingpsych.org · 6d

PsyArXiv is pleased to welcome new member institutions!
✨Eindhoven University of Technology
✨New York University
✨Tilburg University
✨University College London

Member institutions are integral to helping PsyArXiv deliver preprint posting and reading to its users at no charge.

Society for the Improvement of Psychological Science (SIPS) @improvingpsych.org · 6d

PsyArXiv is pleased to welcome new member institutions!
✨Eindhoven University of Technology
✨New York University
✨Tilburg University
✨University College London

Member institutions are integral to helping PsyArXiv deliver preprint posting and reading to its users at no charge.