You know, we have real problems to solve. I can’t dick around, frankly, thinking about other things like causality right now.
We find ourselves in a new world, argue Viktor Mayer-Schönberger and Kenneth Cukier. No longer need we grapple with the world by spinning theories and using them to make predictions. We now have Big Data and Big Data will speak to us, gifting us with insights that were never before accessible.
By Big Data, Mayer-Schönberger and Cukier refer to the vastly greater amount of collected and stored data around us. Big Data also reflect a new economics - where the costs to acquire, store and manipulate data are increasingly negligible. Big Data is often collected mindlessly and incessantly: our continuous GPS coordinates, our Google searches.
Big Data presents new opportunities for prediction. Old prediction involved the collection of precise sample data, which would then be fitted into a theory. Theory was developed under causal lines - data confirmed theory and reflected a link between cause and result. If we collect data showing a large number of people diagnosed with the flu, we may infer the presence of an epidemic.