Article 2ZGQG Why tech predictors are so terrible at the job

Why tech predictors are so terrible at the job

by
Rob Beschizza
from on (#2ZGQG)

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Enjoy Michael Mullany's review of the Gartner Hype Cycle, with all the things tech predictors got right and all the things they got wrong: "we're terrible at making predictions."

Lesson 6: Some technologies keep receding into the future

There are some notable technologies that recur on the Hype Cycle and every time they appear they seem equally scifi. Although at some point, I'm sure they will not. The most notable are:

Quantum Computing: as early as 2000, quantum computing was considered more than a decade away (and likely still is).

Brain/Computer Interfaces: (also aliased under Human Augmentation) despite notable progress on neural control of prosthetics, thought controlled computing is still a work in progress with general availability lurking at least a decade away.

When I was covering the tech beat, I'd often get annoyed because we'd use these guys as expert sources, but it was plainly obvious that many of them are just retired journos who had gone into investment consulting, with a little insight into the supply chain and none at all into the science.

Though he's not one of those types, my favorite was Gene Munster, who seemed to spend at least a decade regularly predicting the imminent arrival of an Apple TV set. He appears to have quit this year, which doubtless means they will announce one soon.CN7E-JZDp2E

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