CAUTION: This post might make you a little dopey
...or assume that you're a dope.
"Workers distracted by phone calls, e-mails and text messages suffer a greater loss of IQ than a person smoking marijuana, a British study shows..."
The first half of this story has nothing to do with the header. In fact, it points to what is the actual story: "Constant interruptions reduce productivity and leave people feeling tired and lethargic."
The second half is simply half-baked: "In 80 clinical trials, Dr. Glenn Wilson, a psychiatrist at King's College London University, monitored the IQ of workers throughout the day. [How did Dr. Glenn do this? Did he have them hooked up to the IQ-ometer?]
"He found the IQ of those who tried to juggle messages and work fell by 10 points -- the equivalent to missing a whole night's sleep and more than double the 4-point fall seen after smoking marijuana."
How might an IQ test, say, at 2 p.m., when brain chemistry levels out; after a dull meeting; after lunch; after a copier snafu; after tackling some staff conflict or getting a call from your sick child; or after having been 'monitored' some number of times earlier (all on top of these "multitasking" issues) reflect one's mental sharpness?
Was this test done during a Mercury Retrograde period? What kind of work did these test subjects do? What was their average IQ before the testing? Were they satisfied with their work lives?
How might the typical, electromagnetically saturated office environment {perhaps the real story} affect the subjects' mental and physical stamina? Did these people have breakfast that day? How much sleep had they been getting? Do they smoke pot? How many pints did they have the night before (or over lunch)? And again, what kind of test was administered? Where can I go to find the actual report?
CNN doesn't say. The story only offers up this bit of advice: "Companies should encourage a more balanced and appropriate way of working."
Aha! New Scientist has the hookup.
Institute of Psychiatry, University of London
Hewlett-Packard Bristol Research Labs
Computer Science, The University of York














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