[dartos]

There can be differences which statistical models pick up which we humans don’t.

For example, a couple years ago there was a statistical model made which could fairly accurately predict (iirc >80%) the gender of a person based on a picture of their iris. At the time we didn’t know there was a visible iris difference between genders, but a statistical model found one.

That’s kind of the whole point of statistical classification models. Feed in a ton of data and the model will discover the differentiating features.

Put another way, If we knew all the possible differences between someone with cancer and without, we wouldn’t need statistical models at all, we could just automate the diagnosis.

We don’t know the indicators that we don’t know, so we don’t know if some possible indicators show up or don’t show up in a given group of people.

That is the danger of wholly relying on statistical models.