Chaotic systems are usually described as having "strong sensitivity to initial conditions", but this almost undersells them. Even incredibly small deviations f

Chaotic systems are usually described as having "strong sensitivity to initial conditions", but this almost undersells them. Even incredibly small deviations from the simulation (measurement error, over/undervoltage conditions, floating point errors/rounding, probably even temperature fluctations) would be enough to alter the results. You can see some neat examples of this with double pendulums, which seem like they should be easy to predict/model, but are absolutely not! While this is popularly known as the "butterfly effect", but I recently learned it was originally called the much less poetic "sea gull effect".