#statstab #528 Survey Bot Detection Workshop Thoughts: "Pick a cutoff value for detecting random responders" can you spot the bots? #OpenScience #bots #detection #sample #human #participants #deception #shinyapp #education #tutorial falkcarl.shinyapps.io/BotApp1/

Is a 55% replication rate too low, too high, or just right? Some thoughts on Tyner et al.’s (2026) recent study. #MetaSci #PhilSci

#statstab #527 t is for Trouble (and Textbooks): A Critique of Some Examples of the Paired-Samples t-test Thoughts: Some issues seem to reappear in the field. We need better training. #ttest #design #methods #error #analysis #repeatedmeasures #outliers www.jstor.org/stable/pdf/2...

The errors and mistakes of spss will haunt you in R. Beware

#statstab #526 A Meta-Analysis of the Impact and Heterogeneity of Explicit Demand Characteristics Thoughts: The impact of the design on conclusions is under-appreciated #demandcharacteristics #design #methodology #error #bias #metascience #metaanalysis online.ucpress.edu/collabra/art...

Happy birthday Leonhard Euler (319)

#statstab #525 What Good Is a Regression? Inference to the Best Explanation and the Practice of Political Science Research Thoughts: It's interesting to see how other fields consider the problem of knowledge generation #polisci #epistemology #inference www.journals.uchicago.edu/doi/epdf/10....

New work and events... 🔸 Workshop on the politics and finances of open science reform 🔸 Symposium: “Who critiques the critique? Toward a reflexive metascience” 🔸 Preprint encourages establishing phenomena before testing theories 🔸 Systematic review of questionable research practices

#524 Interactions in Logit Regressions: Why Positive May Mean Negative Thoughts: Nonlinear models require a bit more caution for new researchers when making inferences. #logit #inference #causalinference #interaction #datacolada datacolada.org/57

#stats help: I saw a thread/post here (I think) on how there was this bad practice where in meta-analyses researchers were *inverting* effects so all would have the same interpretation, but those effects would obviously not have the same structure (variance, range etc) Anyone know a source?

#TodayinHistory #dataviz #OTD 📊 📅Apr 10, 1755 Thomas Simpson introduced the idea of "error distributions", the 🥇 1st formulation of a continuous distribution. Justifies the use of the mean of several observations, rather than the "best" one. Observational astronomy took a big step forward

#statstab #523 Equal vs. Proportional Weighting in Least-Squares Means Thoughts: Interesting comparisons of bias for the two methods. Complex stuff. I wonder what people make of this. #weighting #error #bias #LSM #emmeans #covariates imazubi.github.io/stats/stats_...

"also, numbers represent feelings"

🚨 Come to iIIRG 2026 to hear our talk about better methods to analysing interview data! @drcodyporter.bsky.social @mattansb.msbstats.info #belgium #conference #methods #investigativeinterview

👏 👏 👏

#statstab #522 Bayes Rules! Different priors, different posteriors Thoughts: Nice illustration of how uninformative and informative priors change your posterior. #bayesian #dataviz #bayes #inference #sensitivity #priors www.bayesrulesbook.com/chapter-4#ch...

Very nice INSPECT-SR website containing the guidance and editable template, made by @ianhussey.mmmdata.io inspect.sr

#statstab #521 Non-adjustment for multiple testing in multi-arm trials of distinct treatments: Rationale and justification Thoughts: Most researchers struggle with multiplicity corrections. #error #bonferroni #FWER #FDR #falsepositive #nhst #alpha pmc.ncbi.nlm.nih.gov/articles/PMC...

Resharing this for the next time I'm making plots #ggplot #dataviz

#statstab #520 Reverse‐Bayes methods for evidence assessment and research synthesis Thoughts: I was reminded of this paper on assessing the evidentiary value of a finding. What do ppl think? #bayes #inference #evidence #probability #priors #sensitivity doi.org/10.1002/jrsm...

Check out our new paper 📄! #openaccess #employability #research #methods

Artemis II www.nasa.gov/gallery/jour...

#TodayinHistory #dataviz #OTD 📊 🎂Apr 06, 1815 Louis-Léger Vauthier born in Bergerac, France 🇫🇷 In 1874, he created a contour map of Paris population density, the 1st statistical use of a contour map. It was cited by Francis Galton as Inspiration for his normal correlation surface See: bit.ly/4joDuNn

#statstab #519 Sensitivity Analysis and Robustness Checks Thoughts: Multiverse analysis allows you to capture decision uncertainty. #multiverse #jackknife #bias #robustness #sensitivity #r #outliers mike-data-analysis.share.connect.posit.cloud/sensitivity-...

#statstab #518 Before p < 0.05 to Beyond p < 0.05: Using History to Contextualize p-Values and Significance Testing Thoughts: An appropriate paper for today. #pvalues #teaching #history #pedagogy #nhst #fisher www.tandfonline.com/doi/pdf/10.1...

#statstab #517 Generalizing Generalizability in Information Systems Research Thoughts: Do your findings generalise? What does that mean? #design #causalinference #theory #generalisability pubsonline.informs.org/doi/10.1287/...

#statstab #516 Is there a boxplot variant for Poisson distributed data? Thoughts: People like their canned visualisations, but you need to think what question you are answering. #poisson #boxplot #sqrttransform #dataviz #r #outliers #distribution stats.stackexchange.com/questions/13...

#statstab #515 Confounded dose-response effects of treatment adherence: fitting Bayesian instrumental variable models using brms Thoughts: A nice tutorial on how to think about confounding, Simulating data, and making inferences #brms #bayes #IV #guide rpsychologist.com/adherence-an...

#statstab #514 A puzzle of proportions Thoughts: "Two popular Bayesian tests can yield dramatically different conclusions" Model specification is important. #bayesian #bayes #bayesfactor #nulleffects #proportions doi.org/10.1002/sim....

🤝 How We Support You as ReproducibiliTea – Part 2 Curious about joining a journal club but not sure where to start? We’ve got you covered! 📚 Join an existing journal club Many of our ReproducibiliTea journal clubs are held online and warmly welcome new participants from around the world.

#statstab #513 Some thoughts on checking the R session Thoughts: Maybe we stop using rm(list=ls())? Setting up a good environment isn't always intuitive. #rstats #r #coding #reproducibility #guide blog.djnavarro.net/posts/2026-0...

26 King’s subjects have been ranked in the world’s top 50 in the QS Subject Rankings 2026. 🎉 The rankings assess academic reputation, employer reputation, citations, research influence and global research networks. Read more: www.kcl.ac.uk/news/kings-c...

#statstab #512 Standardised mean difference estimators {shinyapp} Thoughts: Calculating the correct SMD can be challenging, and most software are quite bad at it. Use this shiny app instead! #cohend #SMD #hedgesg #heterogeneity #effectsize effectsize.shinyapps.io/deffsize/

I really like this as a concept! Maybe similar to the "auto replication of a study after x citations" we should have journals invite authors once they reach x citations or x years since publication to write a statement on their position on the main effect.

#statstab #511 Seven Myths of Randomisation in Clinical Trials Thoughts: Randomization is a very power tool for inference. Closest we have to magic in research. But it's also misunderstood. #randomization #experiment #inference #design #bias #science www.methodologyhubs.mrc.ac.uk/files/9214/3...

If you want to collaborate on Qmd, Rmd, or md files for reproducible manuscripts, try out the alpha version of Quarto Review! It does track changes, comments, syncs with git, shows differences between versions! github.com/Lakens/Quart... Tell me the bugs and feature requests!

I wonder if I should start using octopus.ac more for the projects and ideas I have that just take too long go be fully fleshed out, but the core ideas are clear and already sufficient to deploy. Maybe acting as a PSA, such as "Hey, stop using this design/analysis as it's wrong!" #OpenScience

I endorse this message. (before I die I might make all my personal notes about random stuff and people public. Maybe there is something useful there)

oh god, not this again. Lord('s paradox) have mercy...

#statstab #510 A Note on Dropping Experimental Subjects who Fail a Manipulation Check Thoughts: Another paper to consider when "removing participants who failed our manipulation check"🤷‍♂️ #manipulationcheck #estimand #experiment #design #bias #guide #assumptions #missingdata doi.org/10.1017/pan....

Alt title "rethinking the usefulness of Observational findings"

#statstab #509 Effective sample size Thoughts: ESS often reported for bayesian models, but is it really understood? #brms #rstats #r #bayesian #ess #diagnostics statmodeling.stat.columbia.edu/2025/11/27/e...

#statstab #508 Agreement Tests {SimplyAgree} Thoughts: "R package was created to make the process of quantifying measurement agreement, consistency, and reliability" #agreement #reliability #rstats #r #correlation #concordance aaroncaldwell.us/SimplyAgree/...

Every day is a good day for sharing one of the most useful papers about research data ever written. PLEASE get your people to understand and follow this advice. www.tandfonline.com/doi/full/10....

#statstab #507 Nonlinear models in {flocker} Thoughts: I'm thinking these are useful if my theory predicts some natural limit (L) for a process. Like memory recall. #nonlinear #glmm #brms #mem #asymtotic #flocker #r #rstats www.maths.bris.ac.uk/R/web/packag...

#statstab #506 The VIF Score. What is it Good For? Absolutely Nothing Thoughts: Maybe we need to think more closely about what these metrics mean. #diagnostics #assumptions #regression #vif #variance #variableselection #error #multicolinearity journals.sagepub.com/doi/abs/10.1...

#statstab #505 Beyond Confounders Thoughts: What makes a good control and a bad control? #counterfactuals #confounder #DAG #r #modelling #selectionbias #variance #control #causalinference matheusfacure.github.io/python-causa...

#statstab #504 Likelihood Ratio Test for Publication Bias Thoughts: Interesting idea for a problem many of us think is present, but is hard to measure. #likelihood #publicationbias #QRPs #metascience #metapsychology #metaresearch freestylerscientist.pl/projects/lik...

Scientists/science writers I found in Grammarly's 'expert review' system: David Spiegelhalter, Ivan Oransky, Mary Roach, Rebecca Skloot, Ed Yong, Melinda Wenner Moyer, Deborah Blum, Tom Knight, Michael E Mann, Corinne Le Quere. [pic: results of 5 trials w/ free burner acct]. No doubt many more.

#statstab #503 Reaction time distributions: an interactive overview Thoughts: Might be useful when you start off with this type of research. But I am curious what people think for no-nos with this approach. #reactiontime #rt #distributions #guide #r lindeloev.github.io/shiny-rt/