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Re: [LUG] OT: MS evil WSTOTC

 

On Sat, Dec 07, 2013 at 03:30:12PM +0000, Philip Hudson wrote:
> Just look at the list of personally identified data.
> http://seattleducation2010.wordpress.com/2013/12/03/testimony-regarding-race-to-the-top-funds-for-seattle/
> 
>
And similar arguments will apply in most developed countries. And the more 
you post on facebook, Tesco Club Card, Nectar and the such like the more 
you can be identified.

eg

http://www.businesscomputingworld.co.uk/revealed-secret-piis-in-your-unstructured-data/

    Carnegie Mellon computer science professor and data privacy expert 
    Latanya Sweeney ran the numbers back in 2000: using then current census 
    data (broken down by zip codes and age groups) she was able to identify 
    87% of the people in the US using just those three non-PIIs.

    Piecing the information together is even easier in the UK, as a post 
    code will often cover little more than a single street.


http://godplaysdice.blogspot.co.uk/2009/12/uniquely-identifying-people-by-birth.html

http://www.forbes.com/sites/adamtanner/2013/07/22/how-just-a-zip-code-can-tell-a-marketer-exactly-who-you-are/

    Marketers use the same techniques to gather information about potential 
    and actual clients. From a few pieces of the puzzle, such as a name and 
    a ZIP code, data brokers and companies can find an address, the phone 
    number and other personal data. Itâs a simple matter of statistical 
    probability to find the information.

http://www.afd.co.uk/manuals/postcodeplus/CensTab.asp

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