After presenting a new mathematical proof, this study describes how system identification--a powerful technique for constructing accurate models of complex systems--can be used to evaluate noisy measurements. The discussion goes on to show how noisy data can be manipulated by researchers working on projects in physical interpretation, simulation, prediction, estimation, and control.