The subject of this paper is how the epistemic limitations of individuals and their biases in reasoning affect collective decisions and in particular the functioning of democracies. In fact, while the cognitive sciences have largely shown how the imperfections of human rationality shape...

We develop interpretable, quantitative indices of the objective and subjective complexity of lottery choice problems that can be computed for any standard dataset. These indices capture the predicted error rate in identifying the lottery with the highest expected value, where the predictions are...

Time is a crucial determinant of deception, since some misreporting opportunities come as a surprise and require an intuitive decision while others allow for extensive reflection time. To be able to pursue a deceptive strategy, however, a subject must be aware of the misreporting opportunity....

We designed four observational learning experiments to identify the key channels that, along with Bayes-rational inferences, drive herd behavior. In Experiment 1, unobserved, whose actions remain private, learn from the public actions made in turn by subjects endowed with private signals of...

This paper studies the relevance of cognitive uncertainty - subjective uncertainty over one’s utility-maximizing action - for understanding and predicting intertemporal choice. The main idea is that when people are cognitively noisy, such as when a decision is complex, they implicitly treat...

We study the influence of reason and intuition on decision making over time. Facing a sequence of similar problems, agents can either decide rationally according to expected utility theory or intuitively according to case-based decision theory. Rational decisions are more precise but create...

Algorithm-based decision support systems play an increasingly important role in decisions involving exploration tasks, such as product searches, portfolio choices, and human resource procurement. These tasks often involve a trade-off between exploration and exploitation, which can be highly...

We empirically assess whether hindsight bias has consequences on how citizens evaluate their political actors. Using an incentivized elicitation technique, we demonstrate that people systematically misremember their past policy preferences regarding how to best fight the Covid-19 pandemic. At...

To discuss experimental results without discussing how they came about makes sense when the results are robust to the way experiments are conducted. Experimental results, however, are - arguably more often than not - sensitive to numerous design and implementation characteristics such as the use...

A controversy has been simmering in law for at least 30 years about whether pro bono work should be mandatory for lawyers, who now donate 1-3% of their time to the poor. This has centered on the unmet legal needs of the poor, the duty of lawyers, and the contrast with US doctors, who are...