Why does error cascades fail?

The most common reason error cascades fails: Treating error cascades as a problem of scale rather than a problem of coupling. People assume that small errors stay small — that a minor miscalculation will produce a minor consequence. This confuses the size of the initial error with the size of the downstream effect. What determines cascade severity is not the magnitude of the first error but the tightness of coupling between the components it touches. A tiny error in a loosely coupled system dissipates. The same tiny error in a tightly coupled system amplifies through every dependent link.

The fix: Pick one decision you made in the past month that led to further downstream decisions — a commitment, a purchase, a delegation, a plan. Trace the chain forward: what subsequent actions depended on that initial choice? Now ask one question about the original decision: what assumption did it rest on, and did you verify that assumption before the downstream actions began? Write down the chain and the unverified assumption. You have just mapped a potential error cascade in your own recent history. Time: 15 minutes.

The underlying principle is straightforward: Small uncorrected errors can trigger chains of increasingly large errors.