Understanding Noise

Variability can be a double-edged sword; while it fosters creativity and evolution, it often leads to a loss of accuracy without a proper selection mechanism. Discovering who performs better among multiple choices can harness this variability for improvement. However, when such mechanisms are absent, the resulting noise becomes detrimental.