Modeling trades precision of reality for analyzability

Modeling is useful because it lets you build precise structures you can analyze rigorously, but the inherent downside is that you may lose the precision of the real world or misrepresent it significantly, so there are always deep questions about whether a model is the right model and whether its conclusions hold in a more complex reality.