Robust Decision Making

Robust Decision Making (RDM) was developed by Robert Lempert and colleagues at RAND as a response to the limits of expected-value reasoning under deep uncertainty. Rather than optimizing for the most-likely future, RDM searches for strategies that perform acceptably across thousands of plausible futures.

The method has been applied to climate adaptation, water policy, infrastructure investment, and long-horizon defense planning, domains where the cost of being wrong about the prior is greater than the cost of slight suboptimality under the true prior.

Futurecraft applies RDM as its default decision posture: members are surfaced questions, connections, and opportunities that are robust across the futures the platform takes seriously, not the one it considers most likely.