Robust survives shocks; antifragile gains from them — so ask not whether a thing will break but which way volatility moves it.
The genuine escape from the prediction trap: you do not need to know what will happen if you know the shape of your exposure to it.
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Typed edges. Anything below the line was authored on the other note and derived here.
extends →Margin of safety exists so that survival never depends on your forecast being right.Housel stops at robustness: survive the shock, keep compounding. Taleb asks for the next thing — an exposure that is actively paid by the disorder rather than merely surviving it.
← has exampleCombine extreme safety with extreme risk and refuse the middle: floor the downside absolutely, leave the upside open.
The most concrete implementation of convexity available to an individual: capped losses, uncapped gains, no exposure in between.
← supported byFor non-perishable things, age predicts survival — what has lasted a century will likely outlast what launched last year.Survival through repeated volatility is the observable signature of antifragility. Lindy is how you detect it from outside, without a theory of the mechanism.
← supported byKeep components independent so a change in one does not force changes in others — coupling is what makes systems expensive to change.Decoupling is how a shock stays local. A tightly coupled system propagates every disturbance, which is the precise definition of fragile at the architecture level.