Lefty
lefty123.bsky.social
Lefty
@lefty123.bsky.social
Statistician with interest in probabilistic modelling.
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🏆 Research integrity consultant and image forensics expert @elisabethbik.bsky.social has uncovered fraudulent data in over 7,600 scientific papers and exposed the practices of ‘paper mills’ that produce counterfeit scientific articles. She is honoured with the €200K Individual Award. Congrats!
March 14, 2025 at 10:14 PM
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If you ever find yourself struggling to conceptualize/develop/implement interpretable statistical models in a world of black box methods, or are just interested in talking about them, I set up a Discord server for (narratively) generative modeling discussion some time back, discord.gg/gGUzQ5dg.
Join the Probabilistic Storytelling Discord Server!
The Probabilistic Storytelling server is place for discussing all topics related to the modeling of explicit data genera | 109 members
discord.gg
April 4, 2024 at 4:38 PM
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ICYMI StanCon '24 Sept 10-12 at the Oxford School of Witchcraft and Probabilistic Programming, now accepting proposals for contributed talks and tutorials. Hope to see Stan stans there #stats
StanCon 2024
mc-stan.org
March 20, 2024 at 9:18 AM
I've found myself struggling to choose the right vocabulary for an EDA.
In a boxplot series, can I say the median in A is higher than in B
In a scatterplot can I say the blue points are higher than the green points?
It doesn't sound right but I've seen it. Any literature about the subject?
#rstats
February 6, 2024 at 10:28 AM
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It really isn't ok to omit the raw data from plots like these, especially when there are only ~50 study participants. And why isn't there any indication of uncertainty in these modeled fits? And don't get me started on the x-axis labels. This is THE result from this paper. Why should I trust it?
January 29, 2024 at 9:30 AM
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A doctoral position in English Language and Linguistics at Lund University, Sweden - application period ends 15 February 2024
lu.varbi.com/en/what:job/...
January 16, 2024 at 2:38 PM
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We've made a major update to the causal diagrams chapter of Causal Inference in R! Check it out to learn about DAGs! I think there's a lot in this chapter that is undercovered in other sources. #rstats #causalinference @lucystats.bsky.social @travisgerke.bsky.social www.r-causal.org/chapters/05-...
November 29, 2023 at 9:30 PM
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Local registration for the 2024 round of my FREE OPEN ONLINE Statistical Rethinking course has begun. I'll open up registration on Sunday 3 December. See theatrical trailer below and other details on the course github page #stats 🧪 github.com/rmcelreath/s...
Statistical Rethinking 2022 - Theatrical Trailer
Montage of animations from the 2022 lectures. Playlist: https://www.youtube.com/playlist?list=PLDcUM9US4XdMROZ57-OIRtIK0aOynbgZN
www.youtube.com
November 28, 2023 at 12:21 PM
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The structure of this course, shiraamitchell.github.io/nmaist_stati... , by Shira Mitchell and colleagues is fantastic..

In order to better integrate science into statistics and vice versa we need more teaching like this and fewer exercises that just run black box methods on black box data.
STATISTICAL WORKFLOW:
shiraamitchell.github.io
November 25, 2023 at 8:36 PM