The article discusses how standard risk measures may not accurately predict extreme downward risks in financial crises due to model uncertainty. The researchers suggest a new method to adjust imperfect risk forecasts by comparing them to actual outcomes, improving the quality of risk models. They found that this approach helps identify and correct errors in risk predictions, making them more reliable for financial institutions.