We all have to make decisions based on incomplete information. This means the decisions you make are approximations; their accuracy is contingent upon a lack of

We all have to make decisions based on incomplete information. This means the decisions you make are approximations; their accuracy is contingent upon a lack of good information. It's not about assumptions per se: whatever you assume will be partially wrong. With that said, if you want a high degree of accuracy in matters like this, you're going to have to give up many of those highly efficient heuristics we've evolved. That may not be a good idea. Instead we develop more heuristics that tell us when to apply simplifications and assumptions, and those will often fail.