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This plainly isn't true, just to briefly articulate:

* Hypothesis generation sped up

* Candidate participant discovery sped up - including finding controls

* large classes of analysis possible on just the data, including difference in difference and natural experiment



If the data is rigorously anonymized, then it loses all value for the health insurance / advertising sector, who want to exclude high-cost patients from coverage and target individuals with health conditions, respectively.

Do you think Big Tech shareholders (with additional holdings in pharmaceuticals, petrochemical, agribusiness etc.) would be interested in a database of rigorously anonymized patient data intended to discover relationships between things like pesticide exposure and Parkinson's disease, or unpleaseant side effects of currently profitable pharmaceutical products?


I basically don't believe non-degenerate (psued)anonymization is possible, although that complicated af homomorphic encryption stuff makes me a little uncertain.




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