‘Algorithmic Patterning’ is Being Used to Predict Your Next Action




Search engines rely on algorithms to determine relevant results to a user’s query.  Algorithms fulfill all sorts of different functions related to data display and data mining, but up until now the most widely practiced way has been through Google and search engines.

Today, algorithms are being used by corporations and governments to accurately predict our next actions (See ‘Pre-Crime’).  Don’t believe it?  Check out these REAL examples of algorithms that can predict future events accurately.


Brad Brodigan, SVP and General Manager of Attensity, has been monitoring your conversations. “IdolStats.com provides a fun example of the power behind Attensity360’s advanced social media monitoring technology and the predictive results that we can deliver to our clients.”

IdolStats measured millions of social media interactions (Twitter, blogs, comments etc.) about American Idol in order to gauge American sentiment toward contestants. The service, called Attensity360, automatically collects and crawls chatter happening on blogs, message boards, forums, micro-blogs, online news media and social networks. IdolStats.com then ranks contestants based on negative or positive sentiment and their share of the total American Idol conversation.

Selecting the American Idol cast off is just a small example of what Attensity Group’s acquisition of Biz360, enables them to offer to big business.  The technology enables businesses to effectively listen, analyze, relate, and act on information, both inside and outside of the firewall.

AOL’s Story Factory

The Wall Street Journal caught a comment from the CEO of AOL, Tim Armstrong, that you might find interesting.  Word is that the ISP turned news source will be using “a new digital-newsroom system that uses a series of algorithms to predict the types of stories, videos and photos that will be most popular with consumers and marketers.”


A sample graph outlines the history of home values.  Will graphs like this help determine future costs?

The obvious way this is done relies on collecting search data and ranking it in order of importance.  Will this predict and create stories?  Who knows… how long until digital news filters like this are reporting ridiculous YouTube videos at the front page?  The last thing I need is Lol Catz on the front page of my news source because the algorithm can’t tell the difference between viral and newsworthy.

Algorithms and our Future

While this is not groundbreaking, it does make for some interesting conclusions.  Looking at any particular stat correlated to human behavior, it is possible to analyze trends and make educated guesses about some of the elements of our future.  Can we arrange an algorithm to accurately guess who will win the World Series?  Probably not yet, but we can make for some very accurate guesses in many other areas.

We Know Your Next Move

Algorithms have been used for quite some time to predict any irregular, dissident you can say, behavior. Think here of those stock trading computers which can make millions of calculations in a fraction of a second; and the advantage this gives. Remember information is gold.   How these algorithms operate on government/corporate (same thing more and more) computers is they monitor for any unusual  income spikes or patterns.  If anything is out of its usual place you will be sent an audit letter – and asked to answer for your discrepencies. Beforehand it used to be just with our tax returns.

With P3s (Public-Private Partnerships) bringing government and corporate databases together, for one set of eyes, to use or abuse, our tax-paying and purchasing history is being monitored more than ever.

Algorithms are use our data shadow (built through all our electronic activity i.e. social security number use; credit bureau record; credit and debit card use; loyalty card points collection; online shopping behaviour; social media sign-ups, etc…) to assess our government program and spending use. This is to help determine whether our income should permit us such purchasing power or not.

See: ‘Related’ at the bottom of the page


1.Keep one credit card going ‘if you feel you need to maintain good credit history’

2. Never use more than one-third your allowed credit; also pay off your balance in full – every month.

3. The card is not money. Don’t let it sink you!

4.Best road: Pay off all your cards – ‘then cut them up.’ Trust God to carry you on living Manna in the wilderness ; a wilderness which is coming to everyone. ‘Be Ruth; not Orpah.’

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