Behavioral Analysis
Identify patterns, incentives, motivations, decision-making tendencies, and behavioral signals across individuals, organizations, and states.
Probabilistic Analysis
Assess competing hypotheses, assign probability distributions, and continuously update forecasts as new evidence emerges.
Second-Order Effects
Model how an action changes the conditions, incentives, and probabilities surrounding subsequent events.
Scenario Analysis
Construct plausible futures across multiple variables, from baseline trajectories to low-probability, high-impact outcomes.
Systems Analysis
Map relationships, dependencies, feedback loops, constraints, and points of leverage across complex systems.
Strategic Indicators
Identify leading indicators and observable signals that suggest a trajectory is strengthening, weakening, or changing.
Decision Analysis
Evaluate courses of action against uncertainty, expected outcomes, strategic objectives, and potential consequences.
Adversarial Analysis
Test assumptions from the perspective of competing actors, including their incentives, capabilities, constraints, and likely responses.
Causal Analysis
Distinguish correlation from causation and identify the mechanisms most likely to drive an observed outcome.
Bayesian Updating
Continuously revise assessments as new intelligence, evidence, and behavioral signals change the underlying probability of competing outcomes.
Emergence & Nonlinear Dynamics
Identify conditions in which small changes can produce disproportionate effects, tipping points, cascades, or regime shifts.
Outcome Forecasting
Translate the totality of available evidence into ranked, probabilistic forecasts—what is most likely, what is possible, and what would have to change for the unlikely to become probable.