Post
Conversation
Post your reply
Post hoc (Causation correlation) fallacy. hospitals that we’re doing well or have a lot of money are able to experiment with AI more than struggling hospitals for example
Unless they proved correlation with regression or other types of statistical analysis, this data is simply anecdotal and meaningless.
have gone away to research this further and cant find any information to corroborate that there has been such a significant spike in the death rate this year. hospitals seeing an icrease between 45-40% in deaths in 2026? Show us the data, this is just bs corporate pumping of AI.
Summary
Less interaction with buffoon physicians (which is a very large % of them) —- the healthier everyone is
For reference:
If you mean 1,000 additional deaths per 100,000 people, scaled across 8 billion people, that is:
8,000,000,000 ÷ 100,000 = 80,000 groups
80,000 × 1,000 = 80,000,000 additional deaths.
So yes — that is 80 million excess deaths, equivalent to 1% of the entire global
Interesting divergence in 2026, it lines up with Sam Altman's comments over the past year about the effort going into improving AI systems for healthcare.
Source info and explainer here:
Quote
Bobby Samuels
@BobbySamuels
The Oracle Problem: an invisible bottleneck to AI and medicine
Is this model a good doctor, or was it good at the test?
You go to the doctor, and the doctor tells you: “The medical student will be taking care of you today. They’re very capable; they’ve scored...
Hospitals that adopt AI are probably more functional operationally to make that happen lol.
That’s pretty impressive. If AI can help doctors catch problems earlier, the impact could be huge.
