Uber is pretty great, and I enjoy using it, but many of these statistics are pretty weak and out of context. As others have mentioned, using "income" to describe "revenue" is inaccurate. You can't compare making $90k driving an Uber to $90k at a desk job with a completely different set of expenses.
While the statistics used to determine the DUI rate in SF and Taxi crime in Chicago are beyond the levels of my knowledge and I can't verify their correctness, the calculations certainly seem a bit suspect. For example, as a pair city when doing a discontinuity test, they chose San Francisco, a city which notably, has Uber. The post doesn't mention a confidence interval or P value in a clear explicit way (outside of the table, with unexplained column headers).[1]
In the infographic, they claim these statistics as facts without mention of any underlying confidence intervals. I'm pro Uber, but this post seems to contain a lot of fuzzy math. It'd be interesting if someone with a statistics background could confirm or deny these suspicions...