Interpreting time-series COVID data: reasoning biases, risk perception, and support for public health measures
Abstract Effective risk communication during the COVID-19 pandemic is critical for encouraging appropriate public health behaviors.One way that the public is informed about COVID-19 numbers is through reports of HR Contact Plate daily new cases.However, presenting daily cases has the potential to lead to a dynamic reasoning bias that stems from int