False positives often arise from confirmation bias, where leaders interpret data in a way that confirms their existing beliefs. They may also stem from over-reliance on quantitative metrics without considering qualitative factors. Another source is inadequate data analytics, where incorrect or incomplete data leads to false conclusions.