Twitter's best attribute is its 'newsgroupthink,' which lets the user DJ as many services as possible, unearthing what would be highly stable research individually, and combining it with other sources, even fields. These two articles below both deal with differing ideas of Norse mythology and statistics. One is from a past, histories that actually unfolded (like the Illiad) and was then encrypted into mythology. A recent statistical study deciphered these ancient myth's social structure of its characters and found them to be realistic. The research suggests the myth evolved from real events and real participants whose tales were structured into posterity and have lasted time until now.
The other is from a highly technological present, the on-line game EVE, which was designed by Icelanders and offers a tabla rasa galaxy as a playing realm where users create their own saga against the vastness of space. Statistics are evidenced at every level of EVE and help users to become leaders and warriors of any number of types and qualities. Mythic events take shape as players evolve the game beyond the basic rules of diplomacy and subterfuge is employed. Both articles have numerous crossovers.
Viking sagas decrypted through stats: http://nautil.us/blog/vikingstheyre-just-like-us-social-networks-in-norse-sagas?
Stats help build online game Eve: http://www.polygon.com/features/2014/2/24/5419788/eve-online-thrilling-boring
If this translation is accurate, then we're witnessing the evolving of children's minds.
Anomaly may become a plurality.
What will adults do when children form political parties?
How fast will the rules change?
Children will join adults at the table, their revolution is coming.
The internet saw to that.
Although it may be a tool to find individuals and catch them before acts of mayhem, Prism is likely a prediction tool that may spot approaching trouble weeks before it spreads chaotically across the globe. Big Data can spot minor fluctuations, waves or ripples, that can spread rapidly. An example: a Saudi crude price that is an anomaly, or even a mistaken listing that can predict a devastating rise in gas prices weeks or months prior to reaching the U.S.
Obviously the algorithmic possibilities are critical: is Turing in PRISM's future?