I study whether people respond differently to identically informative signals about men and women. To ensure signals convey identical information, I develop a novel experimental design that fully fixes both prior beliefs and signal distributions across gender. In an experiment with 3,204 subjects, individuals respond dramatically to the gender of the signal-sender. Subjects are more likely to violate Bayes’ Rule, failing to update or updating in the wrong direction, after learning a woman succeeded or a man failed. They update more rationally after learning a man succeeded or a woman failed. Additional treatments explore how to mitigate these gendered mistakes.
