This is not a trolly problem. Insurance companies are companies ir they are designed to maximize profit. That is the problem. The objective of insurance companies is to make a profit not save people’s lives.

Just honestly asking Im not a statistician. From a lay person looking high level this seems weird. The conclusion also does not match up with insurance prices that I’ve personally seen nor correspond with my experience.

I’m here for discussion not trying to put anyone down. Could someone just explain to me what I’m missing. No need to downvote. So if you take a non random sample of data how can you extrapolate that out so much? Does this data line up with other people’s data? What am I missing?

I think a lot of people would disagree with you about X. Objectively he bought the company for $44B and now it’s worth $9B that’s a huge loss. Most people attribute the decline to his “efficiency” measures. Basically losing all the good talent in his company causing a significant decline in users ( because of quality of service). His running of Twitter I think would be a better example of a failure.

That aside hypothetically even if X was doing well - How would the strategy / approach he used in a public company be good for government. These are two very different places?

A better question would be do you have any examples of him actually creating efficiencies? I don’t mean this in a condescending way but he did do a great job with Tesla but basically no where else. Every time he goes out of his wheelhouse it seems to end in disaster? Honestly I don’t follow him but it’s impossible not to hear about him. So can you elaborate on what his successes were and how’d that translate into making the government more efficient?

There are approximately 250 million cars on the road and they only used data from 8 million? That’s 3% of cars on the road to extrapolate into all the cars on the road. Seems like a huge flaw especially since we didn’t know how they got that subset. All seems like click bait as most articles related to Tesla are…

Another good way / better way to see what cars are dangerous are insurance rates. Since insurance companies take in way more data than 8M cars when determining rates.

This is just sad. Whether she lied about McDonald’s or not has no bearing at all on who I will vote for in the coming election. In the grand scheme of things this is meaningless. In fact if this is literally all that can be dug up about Harris it kind of speaks highly of her.

At the end of the day we all lose cause essentially elections are coming down to whoever is the lesser of two evils and not someone you stand behind.