First-order effects

• Regulators and researchers get their first granular look at real driverless operations in Arizona instead of press-release mileage figures, giving Waymo a defensible safety record while rivals still publish only totals.
• The 6.1M-mile annual figure immediately becomes the yardstick others are measured against — later coverage compares Apple's 452K California miles directly to 'Waymo's 6M+.'

Second-order effects

• Competitors face a disclosure asymmetry: matching Waymo's data transparency is costly and exposes their own incident rates, while staying opaque makes their programs look unproven next to Waymo's published numbers.
• Insurers and state agencies gain a concrete autonomous-vs-human benchmark to price and permit against, raising the evidentiary bar every operator must clear to expand — including Waymo's own push into driverless rides in San Francisco.

Third-order effects

• Voluntary self-published safety data hardens into de facto regulation: Waymo's later claims — the 85% injury-crash reduction computed over 7.14M miles, and ultimately the 170M-mile fleet with 92% fewer serious-injury crashes — rest on this reporting pipeline, making the publisher of the data the arbiter of its own safety case.