maybe some censored data problems here? I'm interested in seeing a jupyter notebook analysis on driver fatality rates Does anyone have experience doing surviva

maybe some censored data problems here? I'm interested in seeing a jupyter notebook analysis on driver fatality rates Does anyone have experience doing survival analysis? I've read a lot of the documentation of CamDavidsonPilon's Lifetimes. maybe i'll give it a shot, seems like the type of thing people would already do to price car insurance Tesla’s mortality rate (41 deaths per million vehicle years) is so much higher than the average luxury car (13 deaths per million vehicle years) that when comparing the two, the difference is hugely statistically significant. The difference is 28 additional deaths per million vehicle years, with a confidence interval of 11 to 63, and a p-value of 0.0001. Binomial confidence intervals for individual cars except Tesla provided by IIHS Binomial confidence intervals for Tesla and groups using Conflint.xls from John Pezzullo so he is doing some kind of hypothesis testing, using the binomial distribution but I wish he would post the data and spreadsheets used to generate everything. probably some p-hacking going on? I'm not really that statistically literate, just a computer engineering dropout if someone could explain that'd be cool