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A comment on Piray’s recent paper on low statistical power in computational modelling studies:
Are computational modelling studies severely underpowered?
I don’t think the current analyses justify that conclusion
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🧵 Thread: Does the internet threaten democracy? I argue that it does in my latest piece in Science: doi.org/10.1126/scie...
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Will democracy survive the internet? Do we need to choose between Facebook’s surveillance capitalism or democracy? Layered lines of evidence can inform questions like these. When considered together, the evidence gives rise to a concerning picture, as summarized in a recent report for the European Commission that I co-led.
This is an interesting paper on power in computational modelling, with several useful points.
But I think the headline conclusion — that 60–80% of studies are underpowered — rests on a very specific effect-size assumption that is hard to justify and unlikely to be realistic in most cases.
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Stephan Lewandowsky
Matteo Lisi
Matteo Lisi
Happy to share my new paper published in @nathumbehav.nature.com: A critical look at statistical power in computational modeling studies, particularly those based on model selection.
www.nature.com/articles/s41...
