Servan L. Grüninger
sgruninger.bsky.social
Servan L. Grüninger
@sgruninger.bsky.social
statistician aka „second-rate mathematician, third-rate scientist, fourth-rate thinker“ who plays in „everyone‘s backyard“ (HT to Senn & Tukey for the descriptions)
Reposted by Servan L. Grüninger
F**k my life
March 29, 2024 at 11:30 AM
Reposted by Servan L. Grüninger
Stats consulting is constantly like:

Them: I want you to run (complex stats)

Me: OK, what's your research question though?

Them: ...A (complex stat)?

Me: Research question?

Them: You know, like the stats in this journal article. Something reviewers will like.
December 20, 2023 at 10:41 PM
Reposted by Servan L. Grüninger
Masha Gessen:

“And this is why we compare. To prevent what we know can happen from happening. To make "Never Again" a political project rather than a magic spell. And if we compare compellingly and bravely, then, in the best case scenario, the comparison is proven wrong.”
Hannah Arendt Prize: "Comparison is the way we know the world"
Read the talk that Masha Gessen gave at the ceremony of the Hannah Arendt Prize in Bremen.
www.zeit.de
December 20, 2023 at 10:59 PM
Maybe that‘s a feature, not a bug. I have the feeling that having a public audience does not always bring out the best in us…
December 21, 2023 at 7:19 AM
Reposted by Servan L. Grüninger
#scisky: What are (at leat somewhat) reputable scientific endeavours / research programmes of today that scientists of tomorrow might deem utterly unscientific?
November 25, 2023 at 6:11 PM
Reposted by Servan L. Grüninger
These technologies "are supposed to be so democratized and universal, but they’re so heavily influenced by one person... Everything they do is [framed as] a step toward...larger greatness and the transformation of society". But they're just "cults of personality”. Well said, Noah Giansiracusa
Analysis | OpenAI and X: Promises of populist technology, shaped by a single man
In the end, power in Silicon Valley is largely held by a small cadre of believers and loyalists who deliberate in secrecy and answer to no one.
www.washingtonpost.com
November 25, 2023 at 3:51 PM
#scisky: What are (at leat somewhat) reputable scientific endeavours / research programmes of today that scientists of tomorrow might deem utterly unscientific?
November 25, 2023 at 6:11 PM
Reposted by Servan L. Grüninger
Saw some revived discourse on twitter about using data twice (why not more?!!) and came here instead to remind you that we talk about it in this paper.

Don't believe when someone says "you can't do that"! Ask "why?"

🧪 #metasci #stats
royalsocietypublishing.org/doi/10.1098/...
November 2, 2023 at 11:38 PM
Reposted by Servan L. Grüninger
We reviewed 100 psych. simulation studies & find room for improvement in planning/reporting. As a remedy, we (František Bartoš, @timpmorris.bsky.social Anne-Laure Boulesteix, @danielheck.bsky.social & Samuel Pawel) present ADEMP-PreReg, a simulation study preregistration & reporting template 🧵/1
October 31, 2023 at 2:46 PM
Reposted by Servan L. Grüninger
1/ Statistics do not simply reflect reality, but reconstruct it.

A recent episode in Switzerland illustrates this nicely. The Swiss Federal Statistical Office made a mistake: They incorrectly aggregated the results of the most recent parliamentary elections.
October 29, 2023 at 7:04 PM
1/ Statistics do not simply reflect reality, but reconstruct it.

A recent episode in Switzerland illustrates this nicely. The Swiss Federal Statistical Office made a mistake: They incorrectly aggregated the results of the most recent parliamentary elections.
October 29, 2023 at 7:04 PM
Reposted by Servan L. Grüninger
Ooooh I almost forgot this fantastic blog post by @jbakcoleman.bsky.social
joebakcoleman.com/blog/2023/pc...
Retire the P-Curve (On Twitter)
Collective behavior from fish to fascists.
joebakcoleman.com
October 26, 2023 at 3:22 PM
Reposted by Servan L. Grüninger
New paper with @ianhussey.bsky.social @taymalsalti.bsky.social @rubenarslan.bsky.social. Most measures are only used once or twice, w/o agreement on gold standards - a serious barrier to cumulative science. that leads to lots of papers without meaningful progress. www.nature.com/articles/s44...
October 17, 2023 at 9:48 AM
Reposted by Servan L. Grüninger
Theory matters. Models matter. Assumptions and assumption violations matter. Methods are not equivalent in their assumptions or statistical guarantees. We do not have the luxury of making inference in a vacuum. That's also why reproducibility/replicability doesn't mean what people think it means.
October 13, 2023 at 6:16 PM
Reposted by Servan L. Grüninger
I misread it as "How to make a Friend on BlueSky" and got really hopeful for a split second
How to Make a Feed in BlueSky

And here’s some instructions on how to make a feed. Before you start, (a) search goodfeeds.co to check if there’s already an existing feed that’s similar, (b) make your feed’s title informative (i.e., not #ZRiyXent), and (c) make its tags short and easy to remember!
October 13, 2023 at 9:25 AM
#HiSciSky!
Here for #stats and #metascience, especially in #biology and #biomedicine.
October 13, 2023 at 10:56 AM