It has been asserted that "we don't really have a parking problem here at SUU." In this talk, we present Ultra HD incontrovertible, indisputable, undeniable, unassailable direct aerial drone footage data of three parking lots monitored hourly from 7 a.m. to 5 p.m. to objectively quantify the magnitude of the parking issue in 3 lots on campus. Using combinatorics and frequentist statistics we calculate empirical probabilities for finding a parking space as a function of hour and parking lot as well as the probability of find a "pull-through" parking space. We carry out Monte Carlo simulations of parking based on these probabilities to estimate the efficacy of various parking schemes.
