Andrey Chetverikov
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achetverikov.bsky.social
Andrey Chetverikov
@achetverikov.bsky.social
810 followers 600 following 290 posts
Associate Professor in Cognitive Psychology at the University of Bergen, Norway. I study decision-making and biases in perception and visual working memory, with occasional forays into higher level decisions. https://andreychetverikov.org
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achetverikov.bsky.social
thanks, that is a nice summary!
November 9, 2025 at 2:26 PM
Reposted by Andrey Chetverikov
pengzell.bsky.social
Lol. Ibn Khaldun (1332-1406) had a few bangers too, like this: "people publish too much"
Ibn Khaldun's Muqaddimah, written in 1377: 34. The great number of scholarly works (available) is an obstacle on the path to attaining scholarship. It should be known that among the things that are harmful to the human quest for knowledge and to the attainment of a thorough scholarship are the great number of works (available), the large variety in technical terminology (needed for purposes) of instruction, and the numerous (different) methods (used in those works), 1133 The student is required to have a ready knowledge of (all) that. Only then is he considered an accomplished scholar. Thus, the student must know all the (works), or most of them, and observe the methods used in them. His whole lifetime would not suffice to know all the literature that exists in a single discipline, (even) if he were to devote himself entirely to it. Thus, he must of necessity fall short of attaining scholarship.
November 4, 2025 at 5:06 AM
achetverikov.bsky.social
Very cool! You got me at "we build Bayesian generative models".
November 3, 2025 at 7:59 AM
achetverikov.bsky.social
Ah, now I get what you mean. Don't see it as a problem though - one person's confound is another man's treasure.
November 3, 2025 at 7:58 AM
achetverikov.bsky.social
are you sure about that? with small samples, the same confounds can also produce significant results.
November 1, 2025 at 3:21 PM
achetverikov.bsky.social
Thanks, now I get it! So its basically repulsion all around, stronger with lag 3.
October 30, 2025 at 4:32 PM
achetverikov.bsky.social
Thanks for sharing, looks quite interesting! I found it a bit hard to wrap my head around fig 4 & 5. Fig. 4 labels say attraction/repulsion, but is it to T1 or T3? And why "T2|T1" estimation error? Is it not just T2 estimation error? Maybe computing bias instead of errors could make it simpler.
October 30, 2025 at 2:39 PM