How Dems lost w/demographics: Psychometrics & (counter)revolution in marketing fascism to power
Psychometrics and the (counter)revolution in marketing that is helping bring fascism to power around the world
Psychologist Michal Kosinski developed a method of analyzing people’s behavior down to the minutest detail by looking at their Facebook activity—thus helping Donald Trump to victory.
On November 9th, around 8:30 in the morning, Michal Kosinski awoke in his hotel room in Zurich. The 34-year-old had traveled here to give a presentation to the Risk Center at the ETH [Eidgenössische Technische Hochschule or Federal Institute of Technology, Zurich] at a conference on the dangers of Big Data and the so-called digital revolution. Kosinski gives such presentations all over the world. He is a leading expert on psychometrics, a data-driven offshoot of psychology. Turning on the television this morning in Zurich, he saw that the bomb had gone off: defying the predictions of nearly every leading statistician, Donald J. Trump had been elected president of the United States of America.
Kosinski watched Trump’s victory celebration and the remaining election returns for a long while. He suspected that his research could have had something to do with the result. Then he took a deep breath and turned off the television. On the same day, a little-known British company headquartered in London issued a press release: “We are thrilled that our revolutionary approach to data-driven communications played such an integral part in president-elect Donald Trump’s extraordinary win,” Alexander James Ashburner Nix is quoted as saying. Nix is British, 41 years old, and CEO of Cambridge Analytica. He only appears in public in a tailored suit and designer eyeglasses, his slightly wavy blond hair combed back.
The meditative Kosinski, the well-groomed Nix, the widely grinning Trump—one made this digital upheaval possible, one carried it out, and one rode it to power.
https://antidotezine.com/2017/01/22/trump-knows-you/
= new reply since forum marked as read
