Too bad Web of Science & co wasn't tested. If they failed, this would put the "paid-access sci metrics are better quality than open"-argument to rest. If they didn't fail (i.e. knew about it) and didn't tell... well that's just evil.

I might end up with something like this. 🙂

Use it & love it. 1k+ pages of notes in the first year alone. The excalidraw plugin lets you create sketches & schematics with LaTeX formulas. The paid version seamlessly syncs your notes across all your devices and is well worth it.

Community Improvement Advocates. It would need to be shortened of course. As in the CIA is here, they're asking about your data!

5/5 ARTICLES OF INTEREST s03 - AMERICAN IVY
The third season of this podcast tells the story of the origins of preppy clothing style. Information I didn't know I needed, but enjoyed thoroughly.
open.spotify.com/episode/5qRZ...

4/ QUANTITUDE
Imagine a universe where Beavis and Butthead got tenured as quantitative psychologists and made a stats podcast. That's Quantitude. Quantitative methods are also at the roots of science, so it's the yang to Nullius in Verba's yin.
quantitudepod.org

3/ NULLIUS IN VERBA
Nullius in Verba investigates the roots of scientific ideals and practices. Why are some things called "scientific" and who decided that? (And a lot of Bacon quotes.)
nulliusinverba.podbean.com

2/ METASCIENCE SINCE 2012: A PERSONAL HISTORY
A blog post that could be a small book. A memoir by Stuart Buck about the coming of age of open science. The most inspiring text I read last year.
goodscience.substack.com/p/metascienc...

According to the cited source, it's 22%, not 45%. (Still too high of course!)

54.3 h work week -> 27 h spent on research -> 12 h (45% of research time) spent on research-related admin.

thefdp.org/wp-content/u... p18

source: squareallworthy.tumblr.com/post/1637900...

I thought it was gwern (gwern.net/epigram#fn1), but he cites the one above.

Was R deliberate or happenstance? Is there a universe where tidyverse happened in python (or rust or elixir) instead?

Also, thank you for revealing the rhythm, logic and beauty in data wrangling. In pyspark, polars, base R etc. I feel like a mechanic. In tidyverse, I feel like a poet.

Suppose you record a transaction every time you share your data. You then get scooped (someone leaked your data without recording it). The scoopers say that they're the owner and you're the thief, using blockchain to legitimize your steal. Below ~70% global adoption, they'd likely get away with it?

Interested, but ignorant. Is there a tl;dr about what blockchain could do for science?