While this works for some datasets with known statistical properties, it seems unlikely to become a universal option. Differential Privacy relies on the intuition that something is only private of it happens once in a dataset. Multiple times? Must be something humans have in common.

The issue is that you need massive datasets for everything non-personal to start repeating. And one of the parallel constraints of protecting privacy is not centralising massive datasets.

Encrypted computation needed.