Wow.

Don't miss the story by Arijana A. Ramic about "two people whose lives are shaped by the harsh realities of politics…just because of [their]...commitment...to protecting the #integrity of #OfficialStatistics bit.ly/2ZsVuTh International Association for Official Statistics Statisticians React to the News (blog) Megan Higgs

Exaggerating certainty in full action: if claiming "there is an effect" because p<alpha, scientists will not be "mislead AT MOST alpha% of the time". Since those errors rates only apply when all assumptions are true, the "at most" is a misleading and overconfident claim.

"They are what they’re taught: The need for AI data curation ethics" - don't miss this latest blog post from Statisticians React to the News (blog) by Yuan-chin Ivan Chang bit.ly/3FiyndA #AI #Data #StatisticalModeling Megan Higgs

Spufford: “Semi-bamboozled” and cookery vs. science (special Thanksgiving post) statmodeling.stat.columbia.edu/2021/11/25/sem…

'Why is professional independence such a contentious issue?' See the answer in Statisticians React to the News (blog) blog by Mario Palma, Mexico 👉 bit.ly/3lbdLMK #FundamentalPrinciples #OfficialStatistics #Ethics #Politics Megan Higgs International Association for Official Statistics

"Psychology is fundamentally incompatible with hypothesis-driven theoretical science" pubmed.ncbi.nlm.nih.gov/34878945/ Shots fired! See this Chris Chambers Daniël Lakens Brian Nosek (@[email protected])

Yes. blogs.lse.ac.uk/impactofsocial…

Megan Higgs @TheNewStats Sabine Hoffmann @DXeniMRI Tugba Akinci D'Antonoli Francesco Santini - ESMRMB2025 Program Chair

Estimates of “false positive” rates in various scientific fields statmodeling.stat.columbia.edu/2021/12/18/est…

Great exchange between Gelman and Greenland, about coverage of ‘confidence’ intervals and other myths: «people take the mathematical rigor of a theoretical model and then assert that it applies to the real world» statmodeling.stat.columbia.edu/2021/12/17/why…

A picture is worth ...

Interpreting statistics by the use of averages. This blog post by Edin Šabanović explains why we shouldn’t do it. 👇 ‘Dangers of combining averages’ bit.ly/3H4XQrD #inference #language #officialstatistics #uncertainty Statisticians React to the News (blog) Megan Higgs

Why and How We Should Join the Shift From Significance Testing to Estimation preprints.org/manuscript/202… #BioPreprints #PreprintsOrg Valentin Amrhein

"Inattentiveness to heterogeneity is a natural consequence of the parochial main-effect thinking that pervades the current paradigm." Appreciating this paper - nature.com/articles/s4156…

Yates and Healy (1964) asked for a reform in the teaching of statistics, noting that significance tests ‘are popular with non-statisticians, who like to feel certainty where no certainty exists’ onlinelibrary.wiley.com/doi/10.1111/je…

Our new commentary: Discuss practical importance of results based on interval estimates and p-value functions, not only on point estimates and null p-values. Old news that have apparently not yet spread very far. journals.sagepub.com/doi/10.1177/02…

‘Magnitude and context’: ‘How do we understand, appreciate and communicate large numbers?’ Read the latest Statisticians React to the News (blog) post by John Bailer to find out: bit.ly/3A6GU3N International Association for Official Statistics @isi_wsc_2023 Megan Higgs #COVID #inference #statistics #uncertainty #data

Links to a couple of posts -- my blog is still alive, just with a very slow metabolism these days. critical-inference.com/examined-life-… critical-inference.com/thee-uncertain…

For those interested in the topic of statistical models vs reality, have a look at Stark, "Pay No Attention to the Model Behind the Curtain" link.springer.com/article/10.100…