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Showing posts with label Benjamin Radford. Show all posts
Showing posts with label Benjamin Radford. Show all posts

Saturday, May 7, 2016

Benjamin Radford -- Crop Circle Was a Publicity Stunt: Why'Experts' Were Fooled


By Benjamin Radford, Live Science Contributor | January 7, 2014 10:23am ET


A mysterious 310-foot-diameter crop circle that appeared in a farmer's barley field in Chualar, Calif., was not alien made; rather it was a marketing stunt promoting Nvidia's new Tegra K1 processing chip.

Credit: Screengrab via YouTube/Nvidia video

A mysterious 310-foot-diameter crop circle that appeared in a farmer's barley field in Chualar, Calif., as 2013 ended puzzled the public for more than a week. Echoing the sentiments of many, the field's owner told CNN, "To be that intricate in design, it kind of baffles me as to how that was done."Videos and photos of it went viral, and though some dismissed the crop circle as a hoax, others weren't so sure. Some crop-circle experts wrote in-depth analyses that claimed to cleverly decode hidden meanings in the pattern, including that a bright comet would appear in the sky later this year.

It remained a mystery until Sunday night (Jan. 5), when at the Consumer Electronics Show in Las Vegas, the real circle makers stepped forward: a marketing team hired by computer-graphics company Nvidia. The "crop circle" was not an astronomical calendar forewarning of an impending comet, but instead a drawing of the company's new Tegra K1 processing chip. A small team of British crop-circle artists created the complex pattern expertly and without detection. It was a great publicity stunt, and one that left many people wondering how experts could have been fooled.

Why do people fall for such obvious hoaxes? Part of the answer is that the human brain is hardwired to seek meaning, even when there is no meaning to be found. In psychology, the tendency for the mind to find coincidences, patterns and connections in random data is called apophenia. In statistics, there is even a name for this type of fallacy: a Type I error. A common example of a Type I error is a false positive result on a medical test. [In Photos: Mysterious Crop Circles]

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