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Nonlinearity is the reason prediction fails and leverage exists. In a linear world, effort maps proportionally to results and history doesn't matter. In the nonlinear real world, the same input at a different time or scale produces wildly different outputs — which is why tipping points exist, why small teams beat large ones, and why the last straw breaks the camel's back. Mastering nonlinearity means knowing that 'twice the dose' is almost never 'twice the effect.'
