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Dave C.

You probably already saw this interesting work from last year. Another demonstration of how some sensitive information can be teased out of "confidential" data.

http://toddwschneider.com/posts/a-tale-of-twenty-two-million-citi-bikes-analyzing-the-nyc-bike-share-system/

Kaiser

DC: Thanks for the link. I like that part of the analysis on uniqueness of the trips. He's saying age, gender, whether Citibike subscription is annual, trip starting location, and date-hour of pickup identifies a trip 84% of the time. This is a bit alarmist because he's talking about trips not riders. But it is absolutely true that public data have unintended risks.

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