#### weressl

##### Esteemed Member

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: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

- Your data collection method - something interferes - or accuracy is wrong.
- Your model is faulty.

Math IS the core of the Universe.

Peace out rockers..........