Yeah, that’s fair, but is implicit since I’m arguing against the “sample size is inadequate” POV, not the “there are distributional biases in data” POV. There are a gazillion ways to adjust for these biases (ex. propensity score matching) going beyond just user-base but also including weather type, road type, location, time of day, day of week, traffic density, pedestrian density … that can be done easily with far less than the sample size waymo has. And I bet they do these adjustments.