The question everyone is asking. Now you can model it.
Three wars. A new Supreme Leader with unknown intentions. Missiles in the air. The Strait of Hormuz under pressure.
For the first time, the same type of scenario modeling used by military strategists is available to everyone. Adjust the variables and run thousands of simulations to discover if we are headed toward global war or if there is still a path to peace.
⚠ Educational only · Not affiliated with any government · Probabilistic estimates, not predictions
// Global Conflict Engine v6 · Operation Epic Fury Active · 36-Month Horizon
Every slider and toggle shifts the probability of global conflict. Hover any variable to learn what it means. Run thousands of parallel timelines and see where the world is headed.
// BETA v1: What's Here. What's Coming.
This is a public beta. Every feature you see is live and functional. Every feature listed below is engineered, specified, and scheduled for the enterprise build. Nothing is vaporware.
// Methodology
The Global Conflict Engine uses a Monte Carlo simulation methodology to model how geopolitical crises evolve under different conditions. Each simulation generates a possible future timeline by introducing controlled probabilistic variation across geopolitical variables and actor behavior. Thousands of independent runs are executed for every scenario to produce a probability distribution of outcomes rather than a single deterministic forecast.
Variables are deeply interconnected. No factor operates in isolation. Disruption in the Strait of Hormuz raises oil prices, which weakens political will in energy-importing nations, which alters alliance cohesion, which changes escalation decisions elsewhere in the system.
The engine tracks 60+ correlated variables across 10+ global actors over a fixed 36-month horizon. It incorporates one-time shock events including leadership assassinations, satellite denial, deepfake cascades, and biological incidents that abruptly change the escalation landscape.
Although the model uses Monte Carlo simulation, the engine is designed to produce deterministic and reproducible results. Each scenario configuration generates a cryptographic seed that initializes a pseudo-random number generator. Identical configurations always produce identical outputs. Shared scenarios reproduce the same results everywhere.
Each run generates a unique timeline identifier derived from a cryptographic hash of the scenario payload. These identifiers allow scenarios to be referenced, shared, and reproduced exactly, and enable optional public verification through blockchain anchoring in a future build.
Model note: Diplomacy carries the strongest de-escalation weight because historically it is the most consistently validated off-ramp for interstate escalation. Its absence is treated as a major escalation risk multiplier. All probabilities represent the likelihood of an outcome within the next 36 months under the selected conditions.
Disclaimer: Educational tool only. No classified data. Variable weights derived from publicly available research. Results are probabilistic estimates, not predictions.