During the current COVID-19 pandemic, many official recommendations, their importance and their enforcement are ambiguous and open to interpretations. Therefore, in many cases people rely on their own risk assessments when considering whether and how to conform to social distancing and related recommendations.
Building on previous literature in behavioral economics, we propose to examine judgments while real-life experiences are occurring. Our main question focuses on judgment biases related to conjunctive probabilities when estimating the risk to contract Covid-19 in public places. Moreover, we explore potential correlations between biases and preventive behavior decisions.