Under a Standing General Order issued by the National Highway Traffic Safety Administration (NHTSA), companies testing or deploying Automated Driving Systems (ADS) on public roads are required to report crash data. A dive into the latest publicly available incident reports offers a look not just at how these vehicles are crashing, but how different companies approach transparency. Comparing Tesla's data against competitors like Waymo and Zoox reveals stark differences in fleet exposure, the nature of the collisions, and a massive gap in public reporting practices. The Incident Volume Looking at the raw numbers, the dataset contains 825 total reported ADS incidents. Waymo accounts for the vast majority of these, with 697 reported crashes. They are followed by Avride (41), Zoox (32), and Tesla (18). It is important to provide context for these figures. Waymo operates a massive, fully autonomous robotaxi fleet actively driving millions of miles in densely populated urban centers like San Francisco, Phoenix, and Los Angeles. Their higher incident volume is a direct reflection of this massive fleet exposure in chaotic environments. Tesla's relatively low number of 18 incidents in this specific ADS reporting category also reflects the much smaller and slower-than-expected rollout of Robotaxi. Incidents with FSD (Supervised) are not counted in this dataset, as they are not from an Unsupervised L4 Autonomous Vehicle but rather from an L2+ system that is still supervised by consumers. What Do AVs Hit Most? The NHTSA data categorizes what the autonomous vehicles collided with, shedding light on the different challenges these systems face. Because of their heavy urban presence, Waymo vehicles primarily collide with standard city traffic. Their data shows 229 collisions with passenger cars, 161 with SUVs, and dozens of impacts with heavy trucks and city buses. Tesla's 18 reported crashes show a slightly different pattern. The most common