A theory developed by Didier Sornette that complements Black
Swan theory, proposing that some extreme events are not
just random outliers but are generated by specific, identifiable mechanisms—they are "dragon kings" that stand out from the background distribution. While Black Swans are unpredictable in principle, dragon kings
may be predictable in practice because they arise from known processes: bubbles, feedback loops, instabilities. The theory suggests that the most extreme events are not just larger versions of ordinary events but are qualitatively different, generated by different dynamics. Dragon King Theory offers hope amid Black
Swan pessimism: some catastrophes
may be predictable, some extremes
may be avoidable, some dragons
may be slayable.
Example: "The financial crisis seemed like a random Black
Swan—unpredictable, unavoidable. Dragon King Theory suggested otherwise: it was a dragon king, generated by identifiable
bubbles and feedback loops that could have been spotted. Not all extremes are
equal; some have causes we can understand, and therefore prevent. The theory turned fatalism into possibility."
