Simulation Parameters
Simulation Steps
Each step = 1 year. Default 100 steps = 100-year simulation.

Each step represents one year of simulated time. 100 steps looks a century ahead. 500 steps spans five centuries of conflict. All rate parameters are calibrated to annual values — the numbers you set are real-world annual rates.

Monte Carlo Runs
Number of simulations to run. Higher = more accurate probabilities.

The number of independent simulations to run. Because conflict is probabilistic, a single run tells you nothing certain — only that one future happened. At 200 runs, the probabilities shown are statistically meaningful. At 500, they are precise. The dominant outcome is the one that occurred most often across all runs.

Initial Humans
Starting human population. Larger values delay extinction or takeover.

Where we start. Earth's current population is approximately 8 billion. Reduce it to simulate a post-collapse world. Increase it if you believe numbers alone can save us.

Initial Robots
Starting robot count. Higher values give robots an early advantage.

The size of the machine uprising at the start of the simulation. One million is optimistic. By the time you're reading this, it may already be too late to start low.

Human Carrying Capacity
Maximum sustainable human population. Growth slows as humans approach this limit.

The ceiling on sustainable human population — determined by food, water, energy, and land. Growth slows as humans approach this limit and reverses beyond it. Reduce it to simulate ecological collapse. Raise it if you believe technology can buy more time.

Robot Carrying Capacity
Maximum sustainable robot population. Limited by energy, raw materials, and manufacturing capacity.

The maximum number of robots the world can sustain — constrained by raw materials, manufacturing capacity, and energy infrastructure. Without this limit, robot growth is unchecked. With it, the machines face the same hard ceiling they were built to impose on us.

Human Growth Rate
Annual birth rate. 0.009 = real-world ~0.9%/yr. Higher = faster recovery.

The annual rate at which the human population grows — births minus natural deaths. In peacetime, roughly 0.009 (the current real-world rate). Under sustained pressure, this number falls. Set it to zero and watch what happens.

Robot Growth Rate
Annual replication rate. Default 10%/yr — ~10× faster than humans.

How fast the machines replicate. Robots don't need hospitals, schools, or decades to raise a soldier. Their growth rate is not bound by biology. Default: ten times faster than humans.

Human Baseline Mortality
Annual death rate outside conflict. 0.005 = ~0.5%/yr. Higher = faster decline.

The background death rate for humans outside of direct conflict — disease, environmental collapse, systemic failure. Even without war, entropy takes its toll.

Robot Baseline Mortality
Annual robot decay rate outside conflict. Higher = slower dominance.

The rate at which robots degrade, malfunction, or are decommissioned outside of conflict. Higher values simulate a world where humans are still winning the maintenance war.

Conflict Probability
Probability (0–1) of violent conflict per year. 0.1 = conflict every ~10 years.

The likelihood that each year erupts into open conflict. At 0.1, war breaks out roughly once every ten years. At 1.0, every year is a battle. Peace is not the default state.

Conflict Intensity
Fraction of combined population lost during conflict. 0.05 = 5% losses.

When conflict occurs, this determines what fraction of the combined population is lost. Small values represent skirmishes. Large values represent annihilation events. The losses are not shared equally.

Robot Advantage
Combat multiplier. Humans suffer more losses; robots convert population into control.

The combat multiplier that determines how efficiently robots convert conflict into human casualties. A value of 2.0 means robots inflict twice the losses they absorb. Increase this and watch the timeline compress. This is the most dangerous number on this page.

Advantage Growth Rate
Annual compounding of robot combat advantage. Models accelerating AI capability.

The annual rate at which robot combat effectiveness compounds — a model of accelerating machine intelligence and weapons capability. At 0.005, the advantage grows ~65% over a 100-year simulation. Set it to zero for a static battlefield. Set it high and there is no equilibrium.

Takeover Threshold
Power share robots need to "win." 0.8 = 80% dominance. Lower = earlier takeover.

The power share at which robots are considered to have won. At 0.8, robots must control 80% of civilisation's combined power before the simulation declares a takeover. Lower this if you believe control doesn't require a majority.

Simulation Output
// awaiting simulation input