Mathematical Models
[by major]
Chemistry: The model with 5 variables works for 99% of situations, and you’ve got another model with 11 variables for that 1% edge case. Unfortunately, you flipped a term in your stoichiometry and your answer was off by 6 orders of magnitude.
Physics: You have a choice of 3 models. The first requires only trig but is only accurate if the objects are both massless and frictionless. The second is perfectly accurate but looks like a Wizard wrote it to be intentionally obfuscating. The third is an effortlessly easy approximation but was empirically disproven in 1993 and will not be accepted on the exam.
Biology: So, um, I know we’ve never actually covered it in any of your mathematical courses, but, just a hypothetical; what if you suddenly needed to describe everything using recursion? You’d be fine, right?
Economics: What that? Accuracy? Predictive Power? Oh, no no no, we don’t need any of that, we just need something complicated enough to impress the Investors! You didn’t actually think we were accurately modeling The Economy, did you?
Game Design: Needs more triangles
Computer Science: We are the people responsible for implementing all the models. That doesn’t mean we’re good at it. Anyway enjoy approximating a differential equation using 10,000 finite steps and performing approximating a probability using 100,000 simulations.