How 'fifty years later' looked -fifty years ago. - Printable Version +- Generational Theory Forum: The Fourth Turning Forum: A message board discussing generations and the Strauss Howe generational theory (http://generational-theory.com/forum) +-- Forum: Fourth Turning Forums (http://generational-theory.com/forum/forum-1.html) +--- Forum: The Future (http://generational-theory.com/forum/forum-10.html) +--- Thread: How 'fifty years later' looked -fifty years ago. (/thread-5318.html) |
How 'fifty years later' looked -fifty years ago. - pbrower2a - 01-02-2019 (the New Yorker)
Quote:Prophecy is a mug’s game. But then, lately, most of us are mugs. 2018 was a banner year for the art of prediction, which is not to say the science, because there really is no science of prediction. Predictive algorithms start out as historians: they study historical data to detect patterns. Then they become prophets: they devise mathematical formulas that explain the pattern, test the formulas against historical data withheld for the purpose, and use the formulas to make predictions about the future. That’s why Amazon, Google, Facebook, and everyone else are collecting your data to feed to their algorithms: they want to turn your past into your future. The predictions got the technology right (except on space travel) but not the institutions or social reality. For example: the 'Picturephone' that Bell Labs was trying to invent that you may have seen in 2001: A Space Odyssey is quite commonplace, except that we now call it a Smart Phone. What was wrong with the prediction was that it would be a luxury item that would be used rarely, with the landline phone still getting the majority of use. It would be far easier to store data on computers than on paper... but dead-tree editions are still more enjoyable ways to read a novel than a portable reader. More significantly, Big Business would be able to share data easily with each other and with government agencies, with the ability to exploit such knowledge for making business decisions such as hiring and firing. Hackers might do that, but Big Business cannot spy on workers to find out their politics, consumer purchases, and financial records without consent. (Social Security and IRS records are generally off limits. |