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Michael Crichton, coiner of the term. The Gell-Mann amnesia effect is a cognitive bias describing the tendency of individuals to critically assess media reports in a domain they are knowledgeable about, yet continue to trust reporting in other areas despite recognizing similar potential inaccuracies.
In a speech in 2002, Crichton coined the term Gell-Mann amnesia effect to describe the phenomenon of experts reading articles within their fields of expertise and finding them to be error-ridden and full of misunderstanding, but seemingly forgetting those experiences when reading articles in the same publications written on topics outside of ...
Gell-Mann referred to the scheme as the eightfold way, because of the octets of particles in the classification (the term is a reference to the Eightfold Path of Buddhism). [3] [15] Gell-Mann, along with Maurice Lévy, developed the sigma model of pions, which describes low-energy pion interactions. [49]
Download as PDF; Printable version; ... This is a topic category for the topic Murray Gell-Mann ... Gell-Mann amnesia effect
Gell-Mann amnesia effect was nominated for deletion. The discussion was closed on 15 August 2019 with a consensus to merge. Its contents were merged into Michael Crichton. The original page is now a redirect to this page. For the contribution history and old versions of the redirected article, please see its history; for its talk page, see here.
Some of the sources weren't really supporting the sentences they were pinned to. For example, the NYTimes mentions "news" and social memetics but did not mention anything about the Gell-Mann amnesia effect or selective distrust of media due to expertise. The National Review article doesn't offer support for the sentence it was tacked on to.
“Helping Reverse A Historical Long-Term Decline In The US Dollar.” “While the effect of current account imbalances on the US dollar has been historically weak, our simulations suggest the improved current account picture may help the US dollar to appreciate anywhere from +1.6% to +5.4% in real
Effective complexity is a measure of complexity defined in a 1996 paper by Murray Gell-Mann and Seth Lloyd that attempts to measure the amount of non-random information in a system. [1] [2] It has been criticised as being dependent on the subjective decisions made as to which parts of the information in the system are to be discounted as random ...