The article doesn’t address it, maybe someone here can… what does “consumed” mean? Where does the water go after it’s used to cool? Surely it’s reusable, right?

I need a citation for that for sure, I know until very recently all software updates were non-OTA, meaning you had to drive to a dealership to get the software applied, which means dealers were hesitant to issue them, that could all be incorrect now and it’s certainly incorrect for some of them, I’m positive there are car companies that put out OTA like tesla, i just don’t know who they are

that last edit you added is probably the worst part, because it takes away from how solid Toyota and others are because it ruins the entire metric, Toyota is likely crushing it, and entirely possible Tesla is actually really really bad, but without the RIGHT metrics we can’t actually draw any good conclusions, it’s not just bad for tesla but for the whole market

Yeah there’s definitely been some aggregious recall issues, but the problem is the stats include minor things that only required a quick OTA, so it skews the numbers awkwardly and means we can’t properly judge the real problems they had

If they separated the numbers, we might see that either Tesla has very few real recalls, Tesla actually does have a lot of real recalls but also happens to have software ones, or it’s about normal

And without separating all we can do is guess

100%, this number is skewed by the fact that tesla will basically “recall” for any minor issue because it’s a simple software update, I imagine a lot of companies try to avoid recalls as aggressively and for as long as possible because it’s a significantly bigger burden on them

I say this as someone who drives a Tesla but is still extremely judgemental of Tesla

Honestly an interesting thought and worth keeping in mind, I would love to see a lot more examples and more timing, especially for the pythonic ones, are they more efficient or just more python like?