How people update their beliefs when faced with new information is integral to everyday life. A sizeable body of literature suggests that people’s belief updating is optimistically biased, such that their beliefs are updated more in response to good news than bad news. However, recent research demonstrates that findings previously interpreted as evidence of optimistic belief updating may be the result of flaws in experimental design, rather than motivated reasoning. In light of this controversy, we conduct three pre-registered variations of the standard belief updating paradigm (combined N = 300) in which we test for asymmetric belief updating with neutral, non-valenced stimuli using analytic approaches found in previous research. We find e...
People tend to update beliefs about their future outcomes in a valence-dependent way: they are likel...
Bayes’ statistical rule remains the status quo for modeling belief updating in both normative and d...
A recent experimental literature has documented that people are (sometimes) asymmetric updaters: Go...
AbstractA diverse body of research has demonstrated that people update their beliefs to a greater ex...
A diverse body of research has demonstrated that people update their beliefs to a greater extent whe...
People learn more from new information when it leads to favorable future outlooks and thus can maint...
Funding agency: Russell Sage FoundationBayesian updating remains the benchmark for dynamic modeling ...
People learn more from new information when it leads to favorable future outlooks and thus can maint...
A diverse body of research has demonstrated that people update their beliefs to a greater extent whe...
Received academic wisdom holds that human judgment is characterized by unrealistic optimism, the ten...
Humans hold unrealistically optimistic predictions of what their future holds. These predictions are...
Humans hold unrealistically optimistic predictions of what their future holds. These predictions are...
A number of findings suggest that people’s expectations about the future are unrealistically optimis...
When integrating new information into our beliefs, an important factor is valence: whether a piece o...
International audienceMany studies report that following feedback, individuals do not update their b...
People tend to update beliefs about their future outcomes in a valence-dependent way: they are likel...
Bayes’ statistical rule remains the status quo for modeling belief updating in both normative and d...
A recent experimental literature has documented that people are (sometimes) asymmetric updaters: Go...
AbstractA diverse body of research has demonstrated that people update their beliefs to a greater ex...
A diverse body of research has demonstrated that people update their beliefs to a greater extent whe...
People learn more from new information when it leads to favorable future outlooks and thus can maint...
Funding agency: Russell Sage FoundationBayesian updating remains the benchmark for dynamic modeling ...
People learn more from new information when it leads to favorable future outlooks and thus can maint...
A diverse body of research has demonstrated that people update their beliefs to a greater extent whe...
Received academic wisdom holds that human judgment is characterized by unrealistic optimism, the ten...
Humans hold unrealistically optimistic predictions of what their future holds. These predictions are...
Humans hold unrealistically optimistic predictions of what their future holds. These predictions are...
A number of findings suggest that people’s expectations about the future are unrealistically optimis...
When integrating new information into our beliefs, an important factor is valence: whether a piece o...
International audienceMany studies report that following feedback, individuals do not update their b...
People tend to update beliefs about their future outcomes in a valence-dependent way: they are likel...
Bayes’ statistical rule remains the status quo for modeling belief updating in both normative and d...
A recent experimental literature has documented that people are (sometimes) asymmetric updaters: Go...