Volumetric Search Data As Psychological Insight

From The Age of Information, comes the Age of Wisdom.

I mean what is machine learning anyway?

This question has been asked more and more often as processing units around the globe are being used to discern some compelling insights. Often, this is as simple as looking at how many people have searched for something online. Sometimes it's how often they said something online...

Google Flu Trends, a study done late last decade looked to try and gleam flu outbreak data from searches on Google like, "what to do for a cough" or "sore throat cures" as cue to sickness. Long story short it failed, only to have a group from MIT a few years later, correlate Twitter & Google data together to successfully predict outbreaks 2 weeks in advance.

That was in 2013.

Things like flu outbreaks can be determined with volume alone, so why can't many, may other things. I'm just kidding, they are being tracked right now. "So Long Julie Rubicon" was a possibly fictionalized short story about predictive algorithms being able to predict the stock market, some clear tells that the story could be real include being able to spot the Volkswagen recall stock hit before it happened...(stories about it switching manufacturers could have a signal).

Machine learning does this kind of thing in a much more efficient way, spotting correlations where humans might see none. How you dog breed and car seat style go together. How you like your eggs and the ties you choose. Be prepared for the weird old guy phase in The Age of Wisdom.