What are you even talking about? Failure rates in manufacturing are governed by the same statistics rules as human errors or deaths for sufficiently large n. And 35,000 is sufficiently large n .
Jesus Christ. You really need this spelled out, don’t you?
Machines coming off an assembly line are almost completely identical, which you cannot say for humans.
We can fix errors in vehicle manufacturing very easily, which you also cannot say for humans.
You’re comparing death rates in humans across locales, which is looking for environmental variables and not biological ones. When comparing death rates among different vehicles, you’re looking for manufacturing errors.
This is a bad comparison and statistically insignificant.
If machines coming off an assembly line are virtually identical, then a smaller sample size can be used due to reduced variation. Larger samples are required to control for variation.
I think you guys are just blowing smoke for kicks at this point. Your stats reasoning doesn’t display even a superficial understanding.
You’re just intentionally ignoring #2, ignoring the fact that we were comparing machines vs. humans, and arguing in bad faith because you know you’re wrong, and you’re bad at your job and trying to save face. We’re done here.
What are you even talking about? Failure rates in manufacturing are governed by the same statistics rules as human errors or deaths for sufficiently large n. And 35,000 is sufficiently large n .
It’s a valid comparison and statistically sound.
Jesus Christ. You really need this spelled out, don’t you?
Machines coming off an assembly line are almost completely identical, which you cannot say for humans.
We can fix errors in vehicle manufacturing very easily, which you also cannot say for humans.
You’re comparing death rates in humans across locales, which is looking for environmental variables and not biological ones. When comparing death rates among different vehicles, you’re looking for manufacturing errors.
This is a bad comparison and statistically insignificant.
If machines coming off an assembly line are virtually identical, then a smaller sample size can be used due to reduced variation. Larger samples are required to control for variation.
I think you guys are just blowing smoke for kicks at this point. Your stats reasoning doesn’t display even a superficial understanding.
You’re just intentionally ignoring #2, ignoring the fact that we were comparing machines vs. humans, and arguing in bad faith because you know you’re wrong, and you’re bad at your job and trying to save face. We’re done here.