Most systematic reviews and meta- analyses now include some assessment of study quality but these don't usually impact a review's conclusions. It's typically just some tick boxes or traffic lights and vague qualitative statements. We should instead filter out poor studies. What is wrong with us?

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New vignette on the #rstats WeightIt website describing the various weighting methods available and how to choose among them: ngreifer.github.io/WeightIt/art...

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This is wild - somebody did a deep dive into the real stories behind this famous XKCD: sheets.works/data-viz/hol...

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NEW PAPER Shapley value explanations have been a very popular Explainable AI technique commonly used with the aim to improve transparency of black box machine learning models. Excellently led by @alcarriero.bsky.social www.nature.com/articles/s41...

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This is one of my favorite statistical facts, which I never see referenced:

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