Mental models for identifying, assessing, and mitigating risk. Antifragility, margin of safety, pre-mortems, asymmetric risk, and the frameworks that protect yo
Mental models for identifying, assessing, and mitigating risk. Antifragility, margin of safety, pre-mortems, asymmetric risk, and the frameworks that protect you from catastrophic downside while preserving upside.
Browse all mental models for this use case below. Each model includes a practical explanation, a historical case study, real-world examples, and an interactive exercise.
Instead of asking how to succeed, ask what would guarantee failure — then avoid it.
Consider not just the immediate consequences of a decision, but the consequences of those consequences.
Know what you know, know what you don't know, and stay honest about the boundary.
Before starting, imagine the project has already failed. Then figure out why.
Think in likelihoods, not certainties. Assign probabilities to outcomes instead of assuming binary results.
Build a buffer between what you expect and what you plan for. The world will surprise you.
The true cost of anything is whatever you give up to get it — including the next best alternative.
Some things don't just survive shocks — they get stronger from them. Position yourself to benefit from disorder.
Losses hurt roughly twice as much as equivalent gains feel good — and this asymmetry distorts nearly every decision you make.
You have to keep running just to stay in place — because everyone else is running too.
Everything tends toward disorder unless energy is applied to maintain order. This is true for systems, relationships, and organisations.
We study the winners and forget the losers — which distorts our understanding of what actually causes success.
Combine extreme safety with small, high-upside bets. Avoid the dangerous middle.
The average outcome for a group can be completely different from the typical outcome for an individual over time.
Multiply each possible outcome by its probability and sum them. The mathematically optimal choice is the one with the highest expected value.
In some distributions, extreme events are far more common than normal distributions predict. The tails are 'fat' — and that's where the real action is.
Sometimes the intervention causes more harm than the problem. The cure can be worse than the disease.
Some decisions can be undone; others can't. The irreversible ones deserve disproportionate care.
When you're insulated from the consequences of risk, you take more risk.
Create situations with limited downside and unlimited upside. Keep your options open until you have to commit.
We systematically underestimate how long tasks will take, even when we have direct experience of past overruns.
Build slack into systems. The backup you never use isn't waste — it's insurance against the failure you can't predict.
Imagine multiple futures, not just one. Prepare for several plausible outcomes rather than betting everything on a single prediction.
Any component whose failure causes the entire system to fail. The question isn't whether it will fail — it's whether you've prepared for when it does.
People with something to lose make better decisions than those who are insulated from consequences.
Quick shortcuts today create compounding costs tomorrow. Like financial debt, technical debt accrues interest — and eventually the interest payments exceed the original savings.
There are things you know you don't know (known unknowns) and things you don't even know you don't know (unknown unknowns). The second category is where the real danger lives.
In competitive bidding, the winner often overpays because winning means you valued the item more than everyone else — likely too much.