Noise matters less than consistency.
- Noise matters less than consistency.
- When you have a consistent, asymmetric edge in a dataset and average it across many, many, many iterations, the edge pops out, clear as day.
- The more data, the more convergence and revealing the true, consistent edge, no matter how much noise.