In your first post you said that computed statistics are there "to make advertisers feel better about themselves". I pointed out that those computed statistics are still very valuable, even if they're based on probabilities and not on tangible data. Of course that with more real-world data the statistics are more accurate, but the reality is that real data is likely unavailable for most users. If the only available data are a few pictures and behavioral records (what they liked, who they follow, etc.), then those computed statistics are still much better than nothing.
Besides, advertisers mostly care about demographics, since that's how companies define their target markets. And most of this information can be gathered from just a few sources, so the type of advanced data analysis in your example is not even required in practice. Whether someone is at risk of having a car accident would be more valuable to insurance companies, than for advertisers to decide what product to show them.