What does it mean that schemas about risk?

Your risk model determines what you attempt and what you avoid.

Example: Two engineers at the same company evaluate a proposal to rewrite the core billing system in a new language. One sees catastrophic risk — months of downtime, cascading bugs, career damage if it fails. The other sees asymmetric upside — the current system is a ticking time bomb, the rewrite eliminates a class of bugs permanently, and even a failed attempt produces valuable architectural knowledge. Same project, same data, same engineers. Different risk schemas. The first engineer's schema weighs losses more heavily than gains, anchors on worst-case scenarios, and treats uncertainty as danger. The second engineer's schema distinguishes reversible from irreversible decisions, evaluates the cost of inaction alongside the cost of action, and treats bounded failure as information. Neither schema is objectively correct. But only one of them is visible to its owner.

Try this: Pick one decision you've been avoiding or delaying. Write down the risk as you currently perceive it — what could go wrong, how bad it would be, how likely it is. Now rewrite the same risk through three different lenses: (1) What is the cost of inaction — what happens if you do nothing for another six months? (2) Is this decision reversible or irreversible — can you undo it if it goes wrong? (3) What is the asymmetry — is the upside capped or uncapped, and is the downside bounded or unbounded? Notice which lens changes your assessment most. That delta reveals the shape of your default risk schema.