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Ian Hussey @ianhussey.mmmdata.io · 18/04/2026

I’m hiring a PhD student! The candidate will work alongside @zefreeman.bsky.social, who is joining our research group as postdoc. jobs.unibe.ch/job-vacancie...

jobs.unibe.ch

PhD Student in Meta-Science and Clinical Psychology - Universität Bern

Universität Bern is looking for PhD Student in Meta-Science and Clinical Psychology

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Ian Hussey @ianhussey.mmmdata.io · 04/10/2025

My article "Data is not available upon request" was published in Meta-Psychology. Very happy to see this out! open.lnu.se/index.php/me...

open.lnu.se

LnuOpen | Meta-Psychology

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David Neuzerling @md.neuzerl.ing · 16/04/2025

You call it an ifelse statement, I call it a lightweight, agentic decision module operating within a deterministic inference framework

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Max Berg @maxberg91.bsky.social · 20/11/2024

Men will literally prefer going Bayesian instead of going to therapy.

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Ben Recht @beenwrekt.bsky.social · 13/11/2024

Also, calling Cox proportional hazard regression AI is snake oil.

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Tyson Barrett @healthandstats.bsky.social · 26/10/2024

Some of my favorite new things with data.table in #rstats (Ignore the CRAN not ok, we are working on some R C API changes still)

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Malte Elson @malte.the100.ci · 16/09/2024

4 days left to submit your abstract to the 7th Perspectives on Scientific Error conference (Bern, Feb 5-7, 2025). If you're interested in errors, fraud, negligence, and hype in science, please join us! Keynotes by @scientificdiscovery.dev, @stephaniemlee.bsky.social, and Liam Bright errorsin.science

errorsin.science

7th Perspectives on Scientific Error Workshop

Save the date: PSE7 will take place on February 5-7, 2025 in Bern, Switzerland.

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Malte Elson @malte.the100.ci · 18/09/2024

Google has this new tool that allows you to turn documents into podcasts, so of course here's a fake podcast on Bem's "Writing the Empirical Journal Article"

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MetaArXivBot @metaarxivbot.bsky.social · 30/08/2024

*taps mic* Is this thing on?

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Anne Scheel @annemscheel.bsky.social · 29/02/2024

In his keynote at the Perspectives on Scientific Error workshop, @ianhussey.bsky.social finally answers the question who can help us carry the burden of detecting all the countless scientific errors out there: A clone-army of Nick Browns

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