> But I'm just talking about the statistics here, and specifically that saying "correlation is not causation" is a bit overused.
I think that term has erupted into popularity with the widespread adoption of AI, which is intellectually bankrupt. With AI you can find correlation between things, and draw a very basic rudimentary conclusion, but never actually know why this happens (the causation), in this day and age.
For example, let's apply an unethical use of AI. Let's say an individual goes to the grocery store weekly and buys a dozen eggs and 1 container of dry shampoo (for washing your hair without water), every single week for the past 2 months. With AI and the hoarding of data, it can be found that this individual is going to die in the next 6 months to a 95% confidence interval.
The individual gets harassing ads during this, even though they are not going to die. The ads, of course, in this day and age, play into everyone’s hopes and fears anyways, which is abusive.
I think that term has erupted into popularity with the widespread adoption of AI, which is intellectually bankrupt. With AI you can find correlation between things, and draw a very basic rudimentary conclusion, but never actually know why this happens (the causation), in this day and age.
For example, let's apply an unethical use of AI. Let's say an individual goes to the grocery store weekly and buys a dozen eggs and 1 container of dry shampoo (for washing your hair without water), every single week for the past 2 months. With AI and the hoarding of data, it can be found that this individual is going to die in the next 6 months to a 95% confidence interval.
The individual gets harassing ads during this, even though they are not going to die. The ads, of course, in this day and age, play into everyone’s hopes and fears anyways, which is abusive.