As I reflect on some similarities of "Real-World" experiments and Computational models, the scientific method is present in both cases. As differences goes, I am drawn to human error, time constraints, and resultant expectations. Working with students human error is always reflected on and is excepted, with practice human error is minimized, but still present. With computational human error can be pinpointed to the processes of the simulation and can be tweaked to then have continuous repetition of the model without the human error. I big difference I must also note is the lack of clean up that ends with every "Real-World" experiments.