rt-taleb

To assess hidden fragility and fat-tail risk, you apply a Taleb-style risk analysis that exposes fragile assumptions and identifies black-swan miscalibration. This approach evaluates your strategy using the fragile, robust, and antifragile triad to reveal what breaks under extreme market stress.

Antifragility in risk assessment is the property of a system that improves under stress and volatility rather than merely surviving. It applies to decision-making under uncertainty by shifting focus away from Gaussian averages to evaluating what gains from disorder and fat-tail events.

Performing black swan and skin-in-the-game scrutiny involves detecting non-linear, extreme domain risks and re-centering the analysis on who bears the consequences. Using via negativa, you remove the most dangerous assumptions and interventions to ensure true system robustness.

You need fat-tail failure mode analysis instead of standard forecasting when operating in inherently extreme, non-linear domains like markets. It is required when average-based Gaussian reasoning fails to capture the true risk of black-swan miscalibration and massive tail events.

Yes, you can use via negativa to critique an investment intervention by actively identifying and removing fragile assumptions rather than adding new ones. This risk assessment technique focuses on what to avoid to prevent hidden fragility and unintended fat-tail failures.