Texas killing this child for losing a pregnancy is akin to them having you roll a 5 sided dice and shooting anyone who lands on a “4” between the eyes.
Akin to
very similar to something
Texas killing this child for losing a pregnancy is very similar to having you roll a 5 sided dice and shooting anyone who lands on a "4" between the eyes.
~~Your equating the 1 in 5 miscarriages to having a 1 in 5 chance of death but 1 in 5 miscarriages do not have a chance of death very similar to being shot if you roll a 4 on a 5 sided dice which is a 1 in 5 chance of death.~~
Edit: Just cleaning this up as what I wrote got confusing...
Your saying that 1 in 5 pregencies have a miscarriage (20%) and equate a miscarriage that happens 1/5 times, to being shot 1/5 times which would be death. But an (edit untreated) miscarriage doesn't mean death. So it is not very similar to having a 1/5 chance of death by being shot.
Maybe you don't know what you wrote?
Their stance is that by using lidar OEMs are hamstringing themselves on solving vision because they are so reliant on it. They spend less time and resources perfecting vision so they never truly solve the problem. From their perspective you got it backwards.
The more sensors you deal with, the more your attention gets divided. You aren't laser focused on one thing.
The extra sensors also cost a lot of money, you can't put waymo's sensor package onto millions of cars that consumers can buy when the suite is 10s of thousands of dollars (and originally well over 100k).
By focusing on vision where the system can be put onto millions of cars, you can get massive amounts of extra training data and training data is going to be a huge part of solving this problem.
You might not like the reasons, or their stance, but it's not such an unreasonable position to take. Mobile Eye even cancelled their next gen lidar project after seeing improvements in vision and radar. What happens when they keep seeing improvements in vision and now radar isn't needed?
I don't know if you've ever used AP but all the crazy headlines you see about it are idiots in cars being idiots. As a L2 vision only system it works very well. If people wanna blame Elon for convincing people to be idiots, sure, you can do that, but that has nothing to do with the actual technological approach they are taking. They're two different things.