Futures Thinking and Risk Analysis: Uncertainty, Scenario Design, and the Limits of Prediction
Futures Thinking and Risk Analysis examines how uncertainty can be structured and navigated when complex systems make probability-based prediction unreliable. The article argues that many of the most consequential risks arise not simply from calculable probability, but from deep uncertainty, nonlinear system behavior, model limits, interdependence, and the structural limits of present knowledge. It develops this through Knight’s distinction between risk and uncertainty, the concept of deep uncertainty, scenario analysis, nonlinear and tail risk, robust and adaptive strategy, institutional failure, and the acceleration of technological risk. The article emphasizes that futures-oriented risk analysis is less about forecasting one correct outcome than about exploring multiple plausible futures and designing strategies that remain viable across them.









