7 ms·

> Advertised range should be the mean of the distribution, not the max. Distribution of what? Assuming you mean the distribution of driving range achieved 'in

> Advertised range should be the mean of the distribution, not the max. Distribution of what? Assuming you mean the distribution of driving range achieved 'in the real world', how would that work before a car is sold? How often would it have to be updated in their advertising material? Over what sort of area would the distribution be calculated? How would anyone know if the advertised range of two different cars was even comparable? Whilst the standardised tests could be improved, they are still the best way to compare products. > should have to pay a KL divergence penalty on it that will be distributed to EV buyers as rebates I get about 15% more range than advertised, should I have to pay a penalty for this?

garbagewoman 6mo ago
Yes factor all of those things in
amadeoeoeo 6mo ago
There are many variables and scenarios, yes. This, however, is not an excuse not to provide some more data points that help people estimate what they are really getting... Anyway Tesla has data from all their cars, they could use that.
bestouff 6mo ago
I think we now have the mathematical tools to compute that correctly, given some vehicle parameters. This is not rocket science !
justsomehnguy 6mo ago
This really sounds like 'but think about a poor car vendor!'. And a poor car vendor definitely can't build at least 10 pre-production cars, run them with both a lightest and heaviest loads and different patterns and calculate the mean and use it instead of the one with the maximum distance with a minimal load, right?
- November_Echo 6mo ago
  > This really sounds like 'but think about a poor car vendor!'. It was absolutely not meant to come across that way. I just think it wasn't thought all the way through. > And a poor car vendor definitely can't build at least 10 pre-production cars, run them with both a lightest and heaviest loads and different patterns and calculate the mean and use it instead of the one with the maximum distance with a minimal load, right? This just sounds like vendor controlled slightly-less-standardised testing, not the real world based system they seemed to be arguing for.
dheera 6mo ago
> I get about 15% more range than advertised, should I have to pay a penalty for this? No. You are just one datapoint within the distribution. If the distribution aligns with manufacturer's advertised distribution, nobody gets a rebate. If distribution is not aligned, manufacturer is penalized and everyone gets a rebate for being misled.

garbagewoman 6mo ago

Yes factor all of those things in

amadeoeoeo 6mo ago

There are many variables and scenarios, yes. This, however, is not an excuse not to provide some more data points that help people estimate what they are really getting... Anyway Tesla has data from all their cars, they could use that.

bestouff 6mo ago

I think we now have the mathematical tools to compute that correctly, given some vehicle parameters. This is not rocket science !

justsomehnguy 6mo ago

This really sounds like 'but think about a poor car vendor!'. And a poor car vendor definitely can't build at least 10 pre-production cars, run them with both a lightest and heaviest loads and different patterns and calculate the mean and use it instead of the one with the maximum distance with a minimal load, right?

November_Echo 6mo ago
> This really sounds like 'but think about a poor car vendor!'. It was absolutely not meant to come across that way. I just think it wasn't thought all the way through. > And a poor car vendor definitely can't build at least 10 pre-production cars, run them with both a lightest and heaviest loads and different patterns and calculate the mean and use it instead of the one with the maximum distance with a minimal load, right? This just sounds like vendor controlled slightly-less-standardised testing, not the real world based system they seemed to be arguing for.

dheera 6mo ago

> I get about 15% more range than advertised, should I have to pay a penalty for this? No. You are just one datapoint within the distribution. If the distribution aligns with manufacturer's advertised distribution, nobody gets a rebate. If distribution is not aligned, manufacturer is penalized and everyone gets a rebate for being misled.