Patrick S. Forscher
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psforscher.bsky.social
Patrick S. Forscher
@psforscher.bsky.social
1.6K followers 280 following 400 posts
Director of the CREME developmental meta-research team at Busara, a non-profit that does behavioral science in service of poverty alleviation. https://patrickforscher.com/
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Reposted by Patrick S. Forscher
dingdingpeng.the100.ci
I really strongly feel that some fields of research would profit if researchers stopped collecting online data for some time and instead maybe just read a bit outside of their field.
The ‘harm hypothesis’ strikes me as being deeply rooted in contemporary WEIRD values rather than being the result of a specific ‘evolved’ or ‘innate’ instinct or psychological mechanism. And indeed the literature cited to support it seems to suggest this. Costello & Acerbi cite 5 papers in the paragraph above to support the model: Stewart-Williams et al., 2024: the sample here consists of Prolific users mostly in the UK. FeldmanHall et al., 2016: the samples were MTurk users in the US and volunteers in the UK. Curry et al., 2004: the sample is convicted offenders in Texas in 1991. Graso et al., 2023: US MTurk users again. Graso & Reynolds, 2024: this is a review paper which does make some cross-cultural claims, but when you check the references you can see some important limitations. For example, they write that “Across cultures, women were perceived as less powerful than men but were seen more positively,” and when you check the reference it goes to Glick et al., 2004, which samples from 16 nations. However, when you read that paper they note in the methods that, “Most samples consisted primarily of college students participating for extra credit.”
October 7, 2025 at 7:30 AM
Reposted by Patrick S. Forscher
jbakcoleman.bsky.social
October 1, 2025 at 12:01 PM
Reposted by Patrick S. Forscher
iflis.bsky.social
Is analytical flexibility really the biggest problem while you’re confusing the ephemeral statistical effects of psychological processes with the ephemeral statistical effects of language prediction trained on massive data sets? Hah.
September 18, 2025 at 12:28 PM