Risk · Black swans
Black swan risk: modeling the rare events that matter most
You can't predict a black swan. But you can model the brittleness of your system — the coupling, the concentration, the lack of slack — and know how badly a shock would hurt. That's what risk modeling is really for.
Why expected value misleads
Averaging across scenarios hides the tail. A 5% chance of catastrophic loss is not made fine by a 95% chance of business-as-usual. Look at the tails directly.
Three modeling moves
- Map the couplings — what cascades if X fails?
- Stress the concentrations — supplier, customer, geography.
- Inject correlated shocks, not independent ones.
Pre-commit the response
The point isn't to predict the swan. It's to know in advance what you do when it lands. Strategoscope helps you build the tripwire and the runbook before you need them.
Run your first scenario in 60 seconds
Strategoscope turns your assumptions into thousands of trajectories — so you decide with foresight, not gut.
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