chaser convergence

Chaser convergence refers to the phenomenon where multiple independent models or simulations, each with slight variations, tend to produce similar predictions or outcomes over time. This occurs because, despite initial differences, the models' underlying data or rules lead them to a common solution or pattern. In essence, it’s like different routes eventually arriving at the same destination, indicating a stable and reliable prediction. This concept helps scientists understand when their models are consistently capturing the true behavior of complex systems, increasing confidence in the results.