If you build the model then find data that fits, don't you run the risk that you taylor your data so that it does fit.
Oh, sorry that was global warming
The point is that ALL your data has to fit the mathematical model. If you get empirical data that does 'not compute' then you have two choices:
- Your data collection method - something interferes - or accuracy is wrong.
- Your model is faulty.
Math IS the core of the Universe.
Peace out rockers..........