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Daniel G. Goldstein
Researcher at Microsoft
Publications - 128
Citations - 15287
Daniel G. Goldstein is an academic researcher from Microsoft. The author has contributed to research in topics: Heuristics & Recognition heuristic. The author has an hindex of 42, co-authored 123 publications receiving 13587 citations. Previous affiliations of Daniel G. Goldstein include Columbia University & Max Planck Society.
Papers
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Reasoning the fast and frugal way: models of bounded rationality.
TL;DR: The authors have proposed a family of algorithms based on a simple psychological mechanism: one-reason decision making, and found that these fast and frugal algorithms violate fundamental tenets of classical rationality: they neither look up nor integrate all information.
Posted Content
Do Defaults Save Lives
TL;DR: The article discusses how should policy-makers choose defaults regarding organ donors, noting that every policy must have a no-action default, and defaults impose physical, cognitive, and emotional costs on those who must change their status.
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Do Defaults Save Lives
Eric Johnson,Daniel G. Goldstein +1 more
TL;DR: The authors examine the impact of simple policy defaults on the decision to become an organ donor, finding large effects that significantly increase donation rates, with significant economic impact. But, the authors of this paper use natural and experimental data.
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Models of ecological rationality: the recognition heuristic.
TL;DR: The recognition heuristic, arguably the most frugal of all heuristics, makes inferences from patterns of missing knowledge that leads to the counterintuitive less-is-more effect in which less knowledge is better than more for making accurate inferences.
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Beyond nudges: Tools of a choice architecture
Eric Johnson,Suzanne B. Shu,Benedict G. C. Dellaert,Craig R. Fox,Daniel G. Goldstein,Gerald Häubl,Richard P. Larrick,John W. Payne,Ellen Peters,David Schkade,Brian Wansink,Elke U. Weber +11 more
TL;DR: The way a choice is presented influences what a decisionmaker chooses as discussed by the authors, and the choice architecture tools available to choice architects can be divided into two categories: those used in structuring the choice task and those used to describe the choice options.