Estimating loss aversion in decision-making tasks proves unreliable and flawed.
Loss aversion, a key concept in decision-making, is often measured using a task where people decide whether to take gambles. However, a parameter called λ used to quantify loss aversion cannot be accurately estimated in this task, even with thousands of choices. Instead, a simple count of how many gambles people accept provides a reliable measure of their aversion to losses. This count corresponds to the area in which people are willing to take risks, making it a more practical way to understand how individuals make decisions.