That’s not how rates work tho. Larger sample size doesn’t correlate with a higher rate of accidents, which is what any such study implies, not just raw numbers. Your bullshit rationalization is funny. In fact, a larger sample size tends to correspond with lower rates of flaws, as there is less chance that an error/fault makes an outsized impact on the data.
No one’s talking about rates. The article itself, all the articles linked in these comments are talking about counts. Numbers of incidents. I’m not justifying anything because I’m not injecting my opinion here. I’m only pointing out that without context, counts don’t give you enough information to draw a conclusion, that’s just math. You can’t even derive a rate without that context!
That’s not my point though. We both know that the government agency doing this work is primarily interested in the rates, whether or not reports from the media are talking about the total numbers or not. The only reason they started the process of investigation was because of individual incidents, yes, but they’re not looking for a few cases, but a pattern.
Ok? Nobody else is being as wildly irresponsible, therefore tesla should be… rewarded?
I’m saying larger sample size == larger numbers.
Tesla announced 300 million miles on FSD v12 in just the last month.
https://www.notateslaapp.com/news/2001/tesla-on-fsd-close-to-license-deal-with-major-automaker-announces-miles-driven-on-fsd-v12
Geographically, that’s all over the U.S, not just in hyper specific metro areas or stretches of road.
The sample size is orders of magnitude bigger than everyone else, by almost every metric.
If you include the most basic autopilot, Tesla surpassed 1 billion miles in 2018.
These are not opinions, just facts. Take them into account when you decide to interpret the opinion of others.
That’s not how rates work tho. Larger sample size doesn’t correlate with a higher rate of accidents, which is what any such study implies, not just raw numbers. Your bullshit rationalization is funny. In fact, a larger sample size tends to correspond with lower rates of flaws, as there is less chance that an error/fault makes an outsized impact on the data.
No one’s talking about rates. The article itself, all the articles linked in these comments are talking about counts. Numbers of incidents. I’m not justifying anything because I’m not injecting my opinion here. I’m only pointing out that without context, counts don’t give you enough information to draw a conclusion, that’s just math. You can’t even derive a rate without that context!
That’s not my point though. We both know that the government agency doing this work is primarily interested in the rates, whether or not reports from the media are talking about the total numbers or not. The only reason they started the process of investigation was because of individual incidents, yes, but they’re not looking for a few cases, but a pattern.
(Like this one:https://www.ranzlaw.com/why-are-tesla-car-accident-rates-so-high/)