A million Teslas on the road generate 10 billion miles a year.
Please try to understand the underlying statistics, it's really not hard.
> In summary, this article shows that the idea that self-driving cars need to drive hundreds of millions of miles before we can be convinced that they are safe is full of flaws. It is misleading to just focus on fatality rates where many other correlated measures for reliability are available that are easier to measure. It is wrong to focus primarily on accidents; the focus should rather be placed on the avoidance of safety-critical situations.
> For those driving without Autopilot, we registered one accident or crash-like event for every 1.92 million miles driven. By comparison, the National Highway Traffic Safety Administration’s (NHTSA) most recent data shows that in the United States, there is an automobile crash every 492,000 miles.
https://www.tesla.com/blog/q3-2018-vehicle-safety-report
I posted the article to show how Tesla's way of measuring safety/accuracy is flawed. The article does a very good job demonstrating that. I agree with the article that we should come up with a procedure/policy driven approach to validating the safety of autonomous vehicles, because there would be no easy way to validate the safety of autonomous vehicles given the volume of human miles driven.
MobilEye's RSS is aiming to do that.
Source: https://www.tesla.com/blog/q3-2018-vehicle-safety-report
Any naive statistical argument comparing human performance to autonomous cars will fall flat on its face due to the small sample size of autonomous driven miles in relation to human driven miles.