Neurosurgeon argues Waymo's 100M-mile data proves autonomous vehicles are a public health imperative
Dec 11, 2025 with Jonathan Slotkin
Key Points
- Waymo's 100-million-mile autonomous vehicle dataset has convinced a practicing neurosurgeon that self-driving cars are a public health imperative, not a technology story, given traffic deaths kill roughly 40,000 Americans annually.
- Regulatory capture and the plaintiff bar pose the primary barrier to deployment; insurance rate differentials and federal mandates modeled on airbags are the most plausible near-term forcing mechanisms.
- Delay risks ceding autonomous vehicle dominance to China, which has at least seven full-stack companies in development while the U.S. competitive field includes Waymo, Tesla, Comma AI, and Applied Intuition.
Summary
Waymo's 100-million-mile autonomous vehicle dataset, released roughly one to two months before this December 2025 conversation, has shifted at least one credible medical voice from treating self-driving cars as a technology story to treating them as a public health emergency. John from Scrub Capital, a practicing neurosurgeon and multi-time co-founder, argues the data warrants reframing the entire regulatory and policy debate.
The mortality case is stark. Traffic deaths kill roughly 40,000 Americans per year, making road accidents the number-two cause of death for young adults in the U.S. and the leading cause of death for children globally. John contends that at Waymo's demonstrated safety performance across 100 million miles, eliminating traffic fatalities as a leading cause of death is a realistic near-term policy outcome, not a speculative one.
Regulatory Capture Is the Core Obstacle
The primary barrier is not technology readiness. John points to regulatory capture, citing coverage in the Washington Post and Boston Globe and pressure at the city-council level from what he describes as well-funded opposition. The plaintiff bar is explicitly named as a significant blocking force, with its financial interest in traffic-injury litigation left to implication. Opposition does not map cleanly onto political ideology. John describes the resistance as cutting across traditional left-right lines and correlating more strongly with tech literacy than with partisan affiliation.
Insurance and Incremental Mandates as Forcing Functions
John sees two mechanisms that could accelerate adoption without waiting for legislation. First, insurance rate differentials will eventually force the market's hand as Waymo's safety data compounds. He anticipates Waymo's next data release, likely around 125 million miles, within weeks of the recording date. Second, the regulatory arc will likely mirror airbags, which began as luxury features on high-end vehicles like the S-Class Mercedes before becoming federal mandates. Automatic emergency braking is already near-universal; fuller autonomy will filter down the same way. A seatbelt-style federal mandate requiring automakers to license autonomous technology from Waymo or Tesla was raised as a plausible endpoint.
Fifteen Years of Development Matters
John frames Waymo's development process as closer in rigor to a regulated medical device than to a consumer app or wearable, reflecting fifteen years of deliberate engineering. That history is the basis for his claim that the technology is ready for what he calls "safe and effective acceleration" now, not in a future deployment cycle.
Job Displacement Addressed, Not Dismissed
On labor disruption, John draws an analogy to cigarette manufacturing, which fell from a peak of roughly 650 billion cigarettes produced in 1981 to approximately 125 billion annually today, an 85% decline that did not produce a visible employment crisis. His proposed model for trucking is a transition from operator to fleet supervisor, with a single driver managing ten autonomous rigs from a command center. He acknowledges the labor question is critical and flags that he is not a labor economist, but stresses the transition must be actively managed.
Geopolitical Dimension
John warns that delay carries a competitive cost beyond domestic safety. China currently has at least seven companies pursuing full-stack autonomous vehicle development. Failure to treat AV deployment as a national priority, he argues, risks ceding the category to Chinese technology. The U.S. competitive landscape he identifies includes Waymo, Tesla, Comma AI, and Applied Intuition, with several earlier entrants having already failed.
His New York Times op-ed on the subject drew approximately 2,400 reader comments before the publication closed the thread, an unusually high volume that reflects both the reach of the argument and the fractured nature of public opinion on the technology.