Last time I looked up publicly available crash statistics in the US and calculated the per-maker numbers, Tesla was like 1/80th the typical per capita crashes of the average auto maker. That was a few years back, but I doubt that’s changed without some sketchy statistic interpretations.
Obligatory preface written after comment was written:
I am in no way a statistician or data analysis guru. I admit I could be looking at this shit entirely wrong and welcome anybody who corrects anything I I’m looking at incorrectly.
Actual comment:
The entire report itself is skewed as fuck before Rolling Stone cherry picked the fuck out of it for the article to slam Tesla. Listen I’m as sick of Elon as the next but these fucking shit on everything Elon hiveminds are so much more fucking obnoxious. Theyre always 10 to 1 comments by people who didnt read the article to comments by people who did.
At the end is the actual image from the site that issued the report. I didnt bother with a source link because it’s right in the article OP posted.
Issues with the article and report:
The figures are not for every car on the road it only covers cars made between 2018 and 2022. Not a big deal but still deceiving as fuck to theme the article as Tesla has one of the highest death rates. Cuz they left the time frame out of the RS article. Kinda how they left out the fact that only 1 tesla is in the top 6 and the other Tesla is second to last with a flood of much larger much more common vehicle names that fill in between 1 and 23.
Each rate is calculated off 1 billion miles driven per year. When you put any Tesla model up next to any Ford, Honda, GM, Toyota, etc the % of all teslas on the road are going to be ridiculously higher than the % of the other much larger industry makes and models on the road that it takes to reach 1 billion miles. Because idk if I explained that well here is a made up scenario to illustrate it. Let’s say there are 1000 teslas on the road compared to 1,000,000 Prius on the road. The tesla death rates are based out of 1000 Teslas driving 1,000,000 miles each. Whereas the Prius death rates are based off 1,000,000 Prius’ driving 1,000 miles each.
Remember point 2 as it plays into point 3. The method they used to calculate the rate outlined in point 2, I believe is normal when govt is figuring out vehicle death rates by category, location, driver age, etc. However the study they reference is specifically for death rates per vehicle make. Which makes the methods used for calculating deathrate by make and model completely fucked. They should’ve done the same number of cars per each make and model type as well as the same miles driven to get a comparable outcome of death rates per make amd model over 4 year span.
They looked at fatal crashes only, which is presumably a very small share of all crashes.
They also normalised to per mile driven using a sample of data they have - presumably some data on miles driven by car type.
Could be sketchy, could just be a much smaller sub-population.
Last time I looked up publicly available crash statistics in the US and calculated the per-maker numbers, Tesla was like 1/80th the typical per capita crashes of the average auto maker. That was a few years back, but I doubt that’s changed without some sketchy statistic interpretations.
Obligatory preface written after comment was written:
I am in no way a statistician or data analysis guru. I admit I could be looking at this shit entirely wrong and welcome anybody who corrects anything I I’m looking at incorrectly.
Actual comment:
The entire report itself is skewed as fuck before Rolling Stone cherry picked the fuck out of it for the article to slam Tesla. Listen I’m as sick of Elon as the next but these fucking shit on everything Elon hiveminds are so much more fucking obnoxious. Theyre always 10 to 1 comments by people who didnt read the article to comments by people who did.
At the end is the actual image from the site that issued the report. I didnt bother with a source link because it’s right in the article OP posted.
Issues with the article and report:
The figures are not for every car on the road it only covers cars made between 2018 and 2022. Not a big deal but still deceiving as fuck to theme the article as Tesla has one of the highest death rates. Cuz they left the time frame out of the RS article. Kinda how they left out the fact that only 1 tesla is in the top 6 and the other Tesla is second to last with a flood of much larger much more common vehicle names that fill in between 1 and 23.
Each rate is calculated off 1 billion miles driven per year. When you put any Tesla model up next to any Ford, Honda, GM, Toyota, etc the % of all teslas on the road are going to be ridiculously higher than the % of the other much larger industry makes and models on the road that it takes to reach 1 billion miles. Because idk if I explained that well here is a made up scenario to illustrate it. Let’s say there are 1000 teslas on the road compared to 1,000,000 Prius on the road. The tesla death rates are based out of 1000 Teslas driving 1,000,000 miles each. Whereas the Prius death rates are based off 1,000,000 Prius’ driving 1,000 miles each.
Remember point 2 as it plays into point 3. The method they used to calculate the rate outlined in point 2, I believe is normal when govt is figuring out vehicle death rates by category, location, driver age, etc. However the study they reference is specifically for death rates per vehicle make. Which makes the methods used for calculating deathrate by make and model completely fucked. They should’ve done the same number of cars per each make and model type as well as the same miles driven to get a comparable outcome of death rates per make amd model over 4 year span.
they used crash statistics for new cars with models from 2018 to 2022, where tesla is the most dangerous brand
They looked at fatal crashes only, which is presumably a very small share of all crashes. They also normalised to per mile driven using a sample of data they have - presumably some data on miles driven by car type.
Could be sketchy, could just be a much smaller sub-population.