2026-09-10 00:05 UTC
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#References
[1] Bishop, D., 2019. Rein in the four horsemen of irreproducibility. Nature 568, 435+. https://doi.org/10.1038/d41586-019-01307-2
(free access version: https://ora.ox.ac.uk/objects/uuid:59a5ddb4-407c-4cd5-9964-b611b15d47c4/files/me1715fd9a834e2208349f6c754de87e3)
[2] Simmons, J.P., Nelson, L.D., Simonsohn, U., 2011. False-positive psychology: undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science 22 (11), 1359–1366. https://doi.org/10.1177/0956797611417632
#DOI
Replies (1)
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@dderigo@hostux.social 2026-09-11 23:02
9/ As anecdotal evidence, after recent exchanges with somewhat exasperated colleagues (note: the fields I'm referring to here are not #mathematics, but mainly #ComputationalModelling, e.g. in #EarthSciences, #ecology, #ClimateChange, ... or just simply their #PeerReview !) - There seems to be a growing prevalence of those who claim that it is obsolete (usual "left-behind syndrome"?) to do scientific/technical work without depending more and more on #generativeAI (allegedly without upper limits)