Scenario Modeling Over Probability: We found Monte Carlo simulations to be too abstract for real life planning. Instead, our engine focuses on deterministic scenario modeling. You model specific, high-impact risk events and what-if scenarios (e.g., "What if the market crashes 50% in year 3 and inflation spikes to 8%?") to build stronger contingency plans and derive actionable conviction.

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