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Message: <blockquote data-quote="Truename" data-source="post: 4983221" data-attributes="member: 78255">There's been a lot of criticism of the 4e "math" lately. No biggie, really, but one thing has been bugging me. The analysis is incredibly shallow--nothing more than comparing one number (of dozens!) to another--and it's combined with this bellicose attitude and slapping down of anyone that dares disagree. Ptui.The 4e math may be broken, or it may not be. The existing analyses don't prove anything. Play experiences back up the opinion of whoever's speaking. I'd like something more substantial.Besides, I'm a programmer. This is my idea of fun.Okay, so the purpose of this thread is to do a stochastic analysis of the 4e math, using something called a Monte-Carlo simulation. Basically, what we do is write a program that simulates a 4e fight, random dice rolls and all, and we run it a few hundred thousand times. From that, we get a complete view of everything that can happen. Not just the average case, but full range of possibilities. Because it's a simulation, we can incorporate a lot more variables than the typical DPR calculation.This is a big project, so I'll be taking it one piece at a time. I hope you'll join in with your comments. First up: a look at how many rounds it takes to kill a monster.</blockquote>