Prof. Homer-Dixon looks at systems displaying high levels of uncertainty. Using the example of climate change, he asks whether standard "management" approaches used by policymakers are enough or if we must find new approaches in times of uncertainty. Global financial, climate, energy, and food challenges exhibit similar characteristics - all emerge from systems exhibiting high levels of uncertainty, countless unknown unknowns, time lags, threshold effects, occasional chaotic behavior, and sometimes synchronized systemic failure (as we're now seeing in the financial system). In such systemic environments, standard "management" approaches to public policy and governance are severely handicapped. Specifically, systems with lots of uncertainty and inertia are notoriously hard to control: manager cannot effectively predict the system's future behavior, and they cannot quickly correct behavior they do not like. In the case of climate change, by the time policymakers find out that the climate dice have rolled against humankind, inertia could make conventional responses like carbon taxes and wind power inadequate. Planning humankind's response around what scientists currently think is the most likely outcome is therefore reckless. While we can hope for the best, we must lay plans to navigate the worst.