Lukas Lengersdorff (@LukeLikelihood) header
Lukas Lengersdorff (@LukeLikelihood) profile picture

PhD at the @ScanUnit 🧠, University of Vienna 🎡🇦🇹. Passionate about Stats and Modelling 🧮🎲. Triple dog dad 🐶🐶🐶

Vienna
Joined February 2013
Photo by Lukas Lengersdorff (@LukeLikelihood)Photo by Lukas Lengersdorff (@LukeLikelihood)Photo by Lukas Lengersdorff (@LukeLikelihood)Photo by Lukas Lengersdorff (@LukeLikelihood)Photo by Lukas Lengersdorff (@LukeLikelihood)Photo by Lukas Lengersdorff (@LukeLikelihood)Photo by Lukas Lengersdorff (@LukeLikelihood)Photo by Lukas Lengersdorff (@LukeLikelihood)Photo by Lukas Lengersdorff (@LukeLikelihood)
Lukas Lengersdorff retweeted
We had SO much fun last evening! 🎉 🥰 We had our first get together after so many months of lockdowns and home-office and it was a blast. 💥 Thank you vaccines for making this possible! 💉
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Words I've found useful to explicitly ban in discussion with more junior researchers: - dumb - stupid - trivial - obvious I try not to use them and I expect them not to use them either. What else should go on the list?
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Lukas Lengersdorff retweeted
As a statistician, there’s a big secret that I think the public needs to know. Statisticians don’t all agree on what probability is! Yes we use it in all our work but there’s been many brutal debates and we’re still not 100% sure what it is so we mostly just agree to disagree.
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How to become a SUCCESSFUL academic: a guide 1/n
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Lukas Lengersdorff retweeted
Another successful pub quiz, this time hosted by @LukeLikelihood and with @lei_zhang_lz as the glorious winner! 🥳@GuranCNA #AcademicTwitter, now it's your turn! Can you guess all the book titles/authors that got translated badly and find the correct names of the theorems? ↙️
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Lukas Lengersdorff retweeted
Passt auf euch auf! Bleibt daheim! Verteilt keine Falschinformationen! #wienliebe
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Lukas Lengersdorff retweeted
Wenn Sie Videos oder Fotos des derzeitigen Einsatzes im 1. Bezirk haben - HIER uploaden, NICHT in sozialen Medien verbreiten! So können Sie uns unterstützen! Bitte um zahlreichen RT upload.bmi.gv.at/ #0211w
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SIPS Commendation winner BayesCog lecture series is an introductory course on Bayesian statistics and hierarchical Bayesian modeling using Stan, dedicated to the psychology & cognitive (neuro-)science audience. nitter.gq/lei_zhang_lz/status/12…
1/13) This semester's teaching on Bayesian stats and cognitive modeling is over! Thanks to COVID (ironically!), I recorded all my teaching sessions w/ @zoom_us, and they are available on #Youtube. Wondered what have we covered to the cog-neuro audience? A thread.
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Lukas Lengersdorff retweeted
I don’t know who needs to hear this but people who happily analyze data without worrying about philosophy are usually unthinkingly following the ideas of some dead philosopher.
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Lukas Lengersdorff retweeted
OK, friends, this is a big one. How Eugenics Shaped Statistics, my cover story for this month’s issue of Nautilus, is now online.
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Lukas Lengersdorff retweeted
The ultimate summary on #rstats vs. #machinelearning. Anybody knows where this is from? @kareem_carr @daniela_witten @MaartenvSmeden
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Lukas Lengersdorff retweeted
Okay I'm pretty proud of this math meme I made.
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Lukas Lengersdorff retweeted
Ich habe eben - animiert von diesem unglaublichen „Schauplatz“ - „100 Beweise daß die Erde keine rotierende Kugel ist“ gelesen. Am überzeugendsten fand ich Beweis Nr. 34.
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Lukas Lengersdorff retweeted
Listening to the #StatisticsDebate. niss.org/events/statistics-d… Strong opening by @learnfromerror that p-values should be used. Now Jim Berger is talking about how they are misunderstood. True, but there is no evidence any alternative method will do better.
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Lukas Lengersdorff retweeted
John Ioannidis, of "Most Published Research Findings Are False" fame, has now had his paper on IFR published Let's do one, final, twitter peer-review on the study 1/n
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Lukas Lengersdorff retweeted
The first version of the r2mlm #rstats 📦 is now up on CRAN! 🎉 Calculate effect size measures for multilevel models generated with lmer or nlme. To use: (1) install.packages('r2mlm'), (2) run a model in lmer or nlme, (3) r2mlm(model_name), (4) exult (and interpret the output).
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Lukas Lengersdorff retweeted
On writing scientific papers - you have three core audiences: 1. The editors and reviewers 2. The casual google scholar/ twitter/etc searchers 3. The journal clubs.
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YAY! my first first author paper from my PhD just got accepted @NeuroImage_EiC after minor revision! 🥳🥳🥳🥳🥳🥳 see below for a short summary of our results ⬇️⬇️⬇️ and THANK YOU to everyone involved in this project, this has been a big team effort!
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Lukas Lengersdorff retweeted
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