“The risk of re-identification remains high even in country-scale location datasets” published in Cell Patterns

“The risk of re-identification remains high even in country-scale location datasets” by Ali Farzanehfar, Florimond Houssiau, and Yves-Alexandre de Montjoye appeared today in Cell Pattern. The paper measures, mathematically models, and provides a lower bound on the relationship between the size of a dataset and the risk of re-identification as measured by unicity. The results show that the risk of re-identification decreases very slowly with increasing dataset size, contradicting previous claims.