Despite widespread reports of undesirable lane biasing behavior in autopilot cars running 7.1, the question most pressing to me is a simple one: Does Autopilot in its current primitive beta stage result in fewer or more accidents - or neither? I did some napkin math and realized that the autopilot data set is growing at over 1.5 million miles per day at this point (extrapolated from fleet size, average miles driven per day, and guesses on percentage of miles driven using Autopilot and percentage of the fleet). The numbers make me think that the various threads and posts here (including mine) by wannabe safety experts claiming to be providing Musk & Co. with valuable insight seem a bit silly. As for the data above - you can argue with any one of the numbers but the end result is compelling regardless of the accuracy of any one number - the data set is huge and growing fast. Tesla must already know whether AP makes us safer or not. And if they don't know now - the data is growing so fast they will know very soon. I roughly guesstimate that the customer fleet has put 40 million miles of hands off wheel (give or take 10 million or so) real world data back to Tesla HQ by now - and this data set is growing at a rate of over 1 to 2 million miles per day. If Tesla wants real-time accident numbers they could easily have set up the cars to instantly tell them if the car has collided with an object using the on-board accelerometers. They know when we are using Autopilot and when we aren't - and they also have all the accident data of the pre-autopilot years to compare. There are plenty of available statistics on how frequently the average human driver collides with something - to cite one public source I read the typical driver gets in an accident 1 out of every 165,000 miles driven. They could even be comparing collision rates of drivers who do and don't keep their hands on the wheel with a simple extrapolation - how much time it takes to sense torque on the wheel after a nag. Below some defined threshold the computer can assume this driver is driving with her hands on the wheel. With this large and growing fast data set they surely must have a statistician (excuse me "data scientist") at HQ slicing and dicing the collision rate data set in a dozen different ways looking for correlations of AP collision numbers with many different variables - and they probably have reached some fascinating conclusions. To name a few obvious collision rate comparison tests off the top of my head: AP cars with AP turned on vs off Collision rate using AP vs age of the driver (obtained via purchaser data) Severity of impact with AP on vs AP OFF They might even have data comparing accident frequency to nag frequency to see if nagging actually reduces accidents What will be fascinating is if they ever release this data to the public or use it to influence legislators in position to write regulations about autonomous driving.