Tesla should release demographic info if they have it. IIRC, luxury vehicles tend to have lower accident/fatality rates because their buyers tend to be more experienced, mature, and wealthier.
I'm also wondering about the assumptions the pre-print makes.
https://engrxiv.org/preprint/view/1973/3986
For example, it's assumed that Tesla's data has the same characteristics as the SHRP 2 NDS data, and that the demographic survey data from Hardman et al is accurate WRT the SHRP 2 NDS data.
> The analysis in this paper relies on the assumption that the freeway-to-non-freeway and age group crash ratios found in the SHRP 2 NDS are consistent with the manufacturer’s data, as there are no roadway specific nor age-related factors in the manufacturer safety report.
> Although the ages of drivers in Tesla’s crash rate data are unknown, their ages could be estimated from a 2018 demographic survey of 424 Tesla owners (Hardman et al., 2019).
But... It seems like Hardman et al are using California specific data.
https://escholarship.org/content/qt58t7674n/qt58t7674n_noSpl...
> In this study, we used a cohort survey of Plug-in Electric Vehicles (PEV) owners in California administered by
the authors in November 2019. Respondents had been previously surveyed by the UC Davis Plug-in and Hybrid
& Electric Vehicle (PH&EV) Research Center between 2015 and 2018 as part of four surveys in the eVMT
project when they originally bought their PEV. Respondents for the four phases of the eVMT survey were
sampled from the pool of PEV buyers who had applied for the state rebate from the California Vehicle Rebate
Program (CVRP). More than 25,000 PEV owners were surveyed between 2015 and 2018. A total of 15,000 of
these respondents gave consent to be re-contacted and were invited for the repeat survey in 2019. In all, 4,925
PEV owners responded to the repeat survey.
And... The newer data indicates that age could be positively with more Autopilot use and long-distance travel (also correlated with more Autopilot use), which seems like a confound WRT to the pre-print's conclusions and so on.
> Age is negatively correlated, indicating that the lower the driver’s age the higher the odds of reporting more
long-distance travel. This suggests Autopilot induces travel among younger Tesla owners. As with the model
with all Level 2 automation, users’ income is negatively correlated.