So, it was not like it was hard to figure out that it was from medical data, and especially in one case, where they did not even know that they were pregnant when the miscarriage happened!
You can find this stuff easily by using variants of code words from the post I made, to find the details that you want to learn about.
However, this is the user who did incredible investigation work. (There are far more thoughtful posts over this incident if you just search for things like "USER" AND "Baby/Infant Formula": https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...
You will find extremely insightful information if you further modify select key words in the search. It really is eye opening.
Also, the Financial Times always had pretty impressive investigative work on data privacy, and not in an apocalyptic or fleeting sense. It is just incredibly well researched, and somehow, I have never been disappointed by their coverage.
The amount of bad medical data, erroneous medical data, and just medical errors in the US is actually unbelievably astonishing.
Finding correlations in datasets (even the most perfect dataset!) for use in healthcare is a profoundly unethical social experiment, both among the population and the individual.
We all know that the field of software engineering has faced scandal after scandal when it comes to ethics. The list of examples is practically endless now, and this is one of the most dangerous examples by far.
I mean, it really should be apparent.