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The paper, entitled Unique in the Crowd: The privacy bounds of human mobility, took an anonymized dataset from an unidentified mobile operator containing call information for around 1.5 million users over 14 months. The purpose of the study was to figure out how many data points — based on time and location — were needed to identify individual users. The answer, for 95 percent of the “anonymous” users logged in that database, was just four.