That's the difference between bias and logic. A statistical model is applied bias, just like computation is applied logic/arithmetic. Once you realize that, it'

That's the difference between bias and logic. A statistical model is applied bias, just like computation is applied logic/arithmetic. Once you realize that, it's pretty easy to understand the potential strengths and limitations of a model. Both approaches are missing a critical piece: objectivity. They work directly with the data, and not about the data.