In a paper posted to the arXiv preprint server, which hasn’t been peer reviewed, the researchers describe how they were able to use metadata—again, not the content of communications—from a telecom in a South Asian country (the researchers say they can’t divulge the company or nation), to guess an individual’s occupation. The system ended up being 67.5 percent accurate overall, with the “clerk” profession peaking at 73.5 prediction accuracy.