When performing numerical simulation of many-body systems we work with the goal of computing some set of averaged observables. This process has a weakness in that, when our simulation is complete, we have no ability to determine what was the key physics that gave our result. In this talk, I'll give a simple example, a gap in a single-particle density of states, and explain how we can use two-particle quantities to recover key 'hidden' information. I'll then back up these claims with numerical results for the 2D Hubbard model. For the second half of my talk I'll hope to keep your attention by introducing a parallel but MUCH more whimsical idea, unparticle physics. I'll at least TRY to explain what an unparticle is and how it might impact strongly correlated condensed matter systems.