Large language models (LLMs) have the potential to revolutionize behavioral science by
accelerating and improving the research cycle, from conceptualization to data analysis …

We design a battery of semantic illusions and cognitive reflection tests, aimed to elicit
intuitive yet erroneous responses. We administer these tasks, traditionally used to study …

Why do people believe blatantly inaccurate news headlines (“fake news”)? Do we use our
reasoning abilities to convince ourselves that statements that align with our ideology are …

Online labor markets provide new opportunities for behavioral research, but conducting
economic experiments online raises important methodological challenges. This particularly …

Influential work on reasoning and decision-making has popularised the idea that sound
reasoning requires correction of fast, intuitive thought processes by slower and more …

The cognitive reflection test (CRT) is a widely used measure of the propensity to engage in
analytic or deliberative reasoning in lieu of gut feelings or intuitions. CRT problems are …

The cognitive reflection test (CRT) became popular for its impressive power to predict how
well people reason and make decisions. Despite the popularity of the CRT, a major issue …

Why do citizens rely on partisan cues when forming political judgments? We assess the
relative importance of two motives for partisan cue-following using a series of survey …

A widely used measure of individual propensity to utilize analytic processing is the Cognitive
Reflection Test (CRT), a set of math problems with intuitively compelling but incorrect …

Due to the increasing amount of information shared online every day, the need for sound
and reliable ways of distinguishing between trustworthy and non-trustworthy information is …