This lab compares near-identical forecasts under a known rule. Pick a simulation, load a preset, run the model, then adjust one control at a time to see when the paths split.
What this tests
The explorer compares near-identical forecasts under known rules. It is designed to separate pattern recognition from precise prediction.
Simulation modes
- Feedback maps show compounding mismatch.
- Attractor flows show bounded systems with unstable paths.
- Local cascades show how small differences spread through connected rules.
- Gravity flybys show near-miss paths changing direction.
- Basin boundaries show small input changes landing in different outcomes.
How to read it
The useful readout is the predictability horizon: the first point where the forecasts are no longer close enough to trust as one answer.
Why it matters
Many business and technical systems are not random, but they can still become hard to forecast after enough feedback, unresolved variables, or hidden rule drift.
Limits
The lab is an explanatory model, not a production forecasting engine or scientific simulation package.
Related
Use Probability Signal Simulator for probability updating, or Systems Field Notes for operational examples where small changes can cascade.