this post was submitted on 09 Sep 2024
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Fuck Cars

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THE NEXT time you are stuck in traffic, look around you. Not at the cars, but the passengers. If you are in America, the chances are that one in 75 of them will be killed by a car—most of those by someone else’s car. Wherever you may be, the folk cocooned in a giant SUV or pickup truck are likelier to survive a collision with another vehicle. But the weight of their machines has a cost, because it makes the roads more dangerous for everyone else. The Economist has found that, for every life the heaviest 1% of SUVs or trucks saves in America, more than a dozen lives are lost in smaller vehicles. This makes traffic jams an ethics class on wheels.

Each year cars kill roughly 40,000 people in America—and not just because it is a big place where people love to drive. The country’s roads are nearly twice as dangerous per mile driven as those in the rest of the rich world. Deaths there involving cars have increased over the past decade, despite the introduction of technology meant to make driving safer.

Weight is to blame. Using data for 7.5m crashes in 14 American states in 2013-23, we found that for every 10,000 crashes the heaviest vehicles kill 37 people in the other car, compared with 5.7 for cars of a median weight and just 2.6 for the lightest. The situation is getting worse. In 2023, 31% of new cars in America weighed over 5,000lb (2.27 tonnes), compared with 22% in 2018. The number of pedestrians killed by cars has almost doubled since 2010. Although a typical car is 25% lighter in Europe and 40% lighter in Japan, electrification will add weight there too, exacerbating the gap between the heaviest vehicles and the lightest.

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[–] [email protected] 20 points 2 months ago (4 children)

1 in 75? That math seems pretty off.

40,000 fatalities would be a sample size of 3 million. The USA is 335 million, 110x larger.

1 in 8,250 is more like it.

[–] [email protected] 18 points 2 months ago* (last edited 2 months ago)

Try thinking about the math a little differently. Instead using a by mile approach I get a similar result.

  1. Average American drives 15,000 miles/year
  2. Over 60 years, that's 900,000 miles total
  3. Using a death rate of 1.33 per 100 million miles:
  4. So for 900,000 miles: (1.33 / 100,000,000) * 900,000 = 0.01197
  5. Convert to percentage: 0.01197 * 100 = 1.197%
  6. 1/75 is about 1.3% which is not far from my guess.
[–] [email protected] 12 points 2 months ago

Lifetime vs annual.

You have a 100% chance of your life ending in death. That doesn't mean it'll happen this year.

[–] [email protected] 3 points 2 months ago (2 children)

Yeah the number seems way off to me too.

In 2022, there were 42,795 total motor vehicle fatalities.

That would be 1 in 75 if the population was 3,225,000.

The USA is well over 300 million.

You’re right about it being 100x more

[–] [email protected] 18 points 2 months ago* (last edited 2 months ago)

You're conflating two separate things.
It's not 1:75, of all living people, for that year.
It's 1:75 of people who die in the US, are killed by cars.
In any given year, if 40K die from cars, 3M people will have died some other way, that year.

[–] [email protected] 12 points 2 months ago* (last edited 2 months ago) (1 children)

If calculated over lifetime, this number becomes closer to 1 in 75: This year one has the 'chance' or risk of 42000/335000000=12.5/100000 to be killed by a car. But one has this risk every year of the ~80 years one lives, thus the life time risk for the average person is about 1 %. Maybe the data is 'cleaned' for road death and people living close to agglomerations, where one encounters traffic jams, and thus the number is slightly higher, 1/75.

[–] [email protected] 2 points 2 months ago* (last edited 2 months ago)

Article math seems fuzzy for sure. I wondered if they were measuring for a lifetime of time. Even if that were true, it still feels off.

https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/813561#:~:text=U.S.%20Department%20of%20Transportation,the%20second%20quarter%20of%202022.

12.8 per 100,000. That's way less than 1 in 75.