I play the lottery every day and I haven't won a dollar.
Etc etc
You are describing likelihoods in time series, we are discussing the likelihoods of exceptional defects, period. Which is actually low.
Etc etc
The temporal component doesn't matter at all, the point is that an individual's experience is pretty meaningless when trying to understand statistical phenomena. Which is why we invented statistics and do things like "collect data"
The chance of a consumer encountering any of those issues is equivalent to winning the lottery? We should all run and get a cybertruck! :-;
People who have problems with their cybertruck will go and post about it. Understandably, they are also frustrated, the posts sound angry, and then any journalist can repost/compile all those to make it sound like these are just dumpster fires on wheels. But just as in the lottery case, we never get to hear from every loser, only from the winners; here we don't get to hear from the "winners", only the "losers".
I mean they may well be dumpster fires on wheels but without solid statistics it's hard to be sure exactly so any kind of story can be made up about it.
https://datahub.transportation.gov/Automobiles/NHTSA-Recalls...
The suspension stuck in lowest issue.. really doesn't ring a bell. Maybe it was before my time? Or I glossed over the update notes when I did get it.
The point I was trying to make is that this vehicle's issues are widely reported to a disproportionate degree due to how notable and polarizing it is, to the point that random Cybertruck anti-fans know more about its flaws than the average owner.
Mine isn't flawless either, the tonneau cover requires some finagling to close, which is kind of annoying. So I'm not going to sing Tesla's praises about their QA standards either.
Also, I’m sure we are all familiar with the value of anecdotal evidence vs data, the response of “I’m a ____ and I don’t _____” is limited at best and meaningless in the aggregate