Security researchers Abdul Serwadda and Richard Matovu recently tested a pair of EEG authentication systems to see if it was possible to identify personal information from anonymous brainwave scans. The pair created a machine learning system that compared the new brainwaves scans to EEG scans from a group of known alcoholics -- and the machine successfully identified 25-percent of persons who identified themselves as alcoholics in the new sample. Anthony and guest host Kris Straub wonder if this means anything at all, or is a lot of click-baity scare tactics.

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