Florian Coste-Chareyre
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florcc.bsky.social
Florian Coste-Chareyre
@florcc.bsky.social
34 followers 110 following 28 posts
PhD student in social psychology at @unistra.fr
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Reposted by Florian Coste-Chareyre
weratedogs.com
This is Tuffy. He just woke up from surgery. Has no idea where he is or what's happening, but he's thrilled to be here. 12/10 (TT: teddy_and_tuffy)
December 10, 2025 at 5:24 PM
Reposted by Florian Coste-Chareyre
p-hunermund.com
On the good book, of course
December 9, 2025 at 7:50 PM
Reposted by Florian Coste-Chareyre
consilium.europa.eu
🎂 Happy birthday to the European flag! 🇪🇺

🗓️ In 1985, it became the EU’s emblem, but did you know it was first adopted 70 years ago today by the Council of Europe?

Learn more about the EU flag facts and figures ➡️ link.europa.eu/cxYjT4
December 9, 2025 at 9:01 AM
florcc.bsky.social
This! Admitting budget/time contraints + sensitivity power analysis would not only be more honest but also more usefull for the reader than this « apriori » power analysis nonsense
mattansb.msbstats.info Mattan S. Ben-Shachar @mattansb.msbstats.info · 20d
Examples:

❗Statistical power has become the *only* way to justify sample sizes, so papers are filled with BS section on an a priori power analysis that they didn't do, instead of being ---honest--- (budget, time, informal past experiences with similar Ns).

8/
December 6, 2025 at 9:49 PM
Reposted by Florian Coste-Chareyre
antoninatger.bsky.social
Poutine : "Je veux très littéralement détruire l'Europe".

(Une partie de) la gauche : TOUT CELA N'EST QU'UNE MANOEUVRE POLITIQUE DE MACRON.

Les gens qui nient la menace russe, je les vois comme ceux qui niaient le danger du COVID en pleine pandémie.
December 1, 2025 at 9:48 PM
Reposted by Florian Coste-Chareyre
annemscheel.bsky.social
There still seems to be a lot of confusion about significance testing in psych. No, p-values *don’t* become useless at large N. This flawed point also used to be framed as "too much power". But power isn't the problem – it's 1) unbalanced error rates and 2) the (lack of a) SESOI. 1/ >
October 31, 2025 at 8:13 AM
florcc.bsky.social
The more I learn about causal inference, the more I wonder if choosing a thesis’ subject involving a complex moderated mediation model and psychological variables that can only be nudged through soft intervention was the right call… 🫣
a man in a suit and tie is sitting with his eyes closed .
ALT: a man in a suit and tie is sitting with his eyes closed .
media.tenor.com
October 25, 2025 at 7:05 PM
Reposted by Florian Coste-Chareyre
weratedags.com
We couldn't not rate this classic early DAG by our beloved collective granddagy, Sewall Wright.

14/10. Ten for the DAG, plus one for each cute guinea-pig node.

From Wright (1920) "The Relative Importance of Heredity and Environment in Determining the Piebald Pattern of Guinea-Pigs"
Why are guinea-pigs the colours they are? Sewall's got a DAG for that.
October 17, 2025 at 1:36 PM
Reposted by Florian Coste-Chareyre
dingdingpeng.the100.ci
New paper out with @boryslaw.bsky.social 🥳 In which we sketch out how to rethink measurement invariance causally for applied researchers. And provide a causal definition of measurement invariance!

www.sciencedirect.com/science/arti...
Rethinking measurement invariance causally Highlights: It is preferable to work with a causal definition of measurement invariance A violation of measurement invariance is a potentially substantively interesting observation Standard tests for measurement invariance rely on strong assumptions Group differences can be thought of as descriptive results Conceptual graph illustration the central points of the manuscript. A group variable is potentiall connected to a construct of interest which affects items. Measurement invariance is violated if the group variable directly affects the items, for example by modifying the loadings from the construct to the items, or by directly affecting an item To make this less abstract, consider a scenario where students take an exam, R, meant to capture some ability, T, and then are admitted to a program, V, depending on their exam results: R → V. This is sufficient to result in a violation of the statistical definition of measurement invariance. Exam results and admission are not independent given ability because exam results have a direct effect on admission. Even if we know somebody’s ability (e.g., we know it’s very high), learning about their admission status (e.g., they were not admitted) can tell us something about their exam result (e.g., it may have been worse than expected). According to the causal definition, this in itself does not constitute measurement bias, which seems a sensible conclusion here. After all, the scenario does not involve any reason to believe that the measurement process varied systematically by admission status. Admission happens after the exams took place, it cannot retroactively influence the measurement process (and, for example, lead to unfair treatment depending on admission status).
September 11, 2025 at 9:11 AM
Reposted by Florian Coste-Chareyre
gfro-art.bsky.social
More #fish and #ships fantasy, I’ll get back to it this fall 🐡⚓️
August 28, 2025 at 1:36 PM
Reposted by Florian Coste-Chareyre
stephlamy.bsky.social
J'aimerais que chaque personne qui a contribué à ces actes de torture et de barbarie soit inquiété par la justice.

La réponse judiciaire doit être au niveau du collectif, pas uniquement les instigateurs, et poursuivre aussi ceux qui ont fournis le soutien logistique (Kick) et financier (donateurs).
leparisien.fr Le Parisien @leparisien.fr · Aug 20
💬 «Quand je lui écrivais "Ça va ? T’es en danger ? Il faut que tu sortes de ce groupe", des gens me répondaient à sa place : "Arrête de poser des questions, il est très bien avec nous."»

Ancien militaire et ami de Jean Pormanove, Nicolas témoigne ⤵
« Pour moi, il était manipulé » : un ancien militaire et ami du streamer témoigne
l.leparisien.fr
August 20, 2025 at 7:47 PM
Reposted by Florian Coste-Chareyre
lukesteuber.com
Everyone stop, this is important
A black and white drawing of three dachshunds arranged vertically, each holding a different optical illusion object in its mouth, and the dogs themselves drawn as if a single line optical illusion. The top dog holds a Penrose triangle, the middle dog holds a Necker cube, and the bottom dog holds a Penrose trident. The dogs’ bodies are elongated in an exaggerated cartoon style. The artwork is signed “@IndieTheIntrovert” in the bottom right corner.
July 7, 2025 at 12:32 AM
Reposted by Florian Coste-Chareyre
markrubin.bsky.social
Just accepted at the European Journal of Social Psychology:

New meta-analysis of 248 samples investigates the relationship between social identification and system justification.

BSky author: @chuma73.bsky.social

www.researchgate.net/publication/...

#SocialPsyc
The association between social identification and system justification, especially amongst low status groups, is a highly contested issue in the social and political psychology literatures. While some researchers propose that this association should be largely negative, others assume that it should be largely positive. Here, we synthesized the accumulated evidence on this relationship using a 4-level meta‐analysis of 84 papers supplying 248 different samples and 359 effect sizes (Ntotal = 395,855). Overall the association between identification and system justification was positive, although weak (Zr = 0.11, 95% CI = 0.06, 0.17) and was stronger for high- and intermediate-status groups (Zr = 0.19, 95% CI = 0.13, 0.25 and Zr = 0.12, 95% CI = 0.04, 0.20 respectively), but null for low-status groups (Zr = 0.01, 95% CI = -0.04, 0.06). When theoretically relevant moderators were taken into account, the results further revealed that, for low-status groups, subgroup identification was positively correlated with system justification, but only when status differences were stable and/or legitimate.
June 10, 2025 at 5:07 PM
Reposted by Florian Coste-Chareyre
devezer.bsky.social
all this talk about changes in p-value magnitude being interpreted as an increase in the "quality of evidence" necessitates that i share this. we all should share and actually read this in fact (for starters).
#stats #metasci
The Difference Between “Significant” and “Not Significant” is not Itself Statistically Significant
It is common to summarize statistical comparisons by declarations of statistical significance or nonsignificance. Here we discuss one problem with such declarations, namely that changes in statisti...
www.tandfonline.com
June 2, 2025 at 3:06 PM
Reposted by Florian Coste-Chareyre
dingdingpeng.the100.ci
I asked DeepSeek to develop a scale to measure addiction to addiction scale development and of course it delivered.
March 25, 2025 at 2:34 PM