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Re: Is There a Privacy Risk in Google Flu Trends? - Bits Blog - NYTimes.com


From: David Farber <dave () farber net>
Date: Tue, 18 Nov 2008 10:49:48 -0500



Begin forwarded message:

From: "David P. Reed" <dpreed () reed com>
Date: November 18, 2008 10:34:22 AM EST
To: Tony Finch <dot () dotat at>
Cc: dave () farber net
Subject: Re: [IP] Re: Is There a Privacy Risk in Google Flu Trends? - Bits Blog - NYTimes.com

This is easy. When you observe a stable correlation between a bacterium and a disease state in *scientific* investigations, that is suggestive of a "causal" connection. But it is not proof at *all* of a causal connection. That is why Koch invented the known process that is now the standard for proof that a particular disease is caused and not correlated.

"demonstrated predictive ability" is doubtful in this case. No double- blind studies, nothing. What if people got nervous about something that turned out to be SARS, but CDC thought from this "science" that it was "flu". There's no medical science here. Not in any usual sense. Just the same kind of stuff that justifies homeopathy - I tried it and the symptoms went away.

Tony Finch wrote:
"David P. Reed" <dpreed () reed com> wrote:

For example, there is no scientific validation of the core claim that
queries about "flu symptoms" are correlated with epidemiology.   All
we are presented with is a suggestive correlation, coupled with wild
speculation that the CDC ought to adopt it because it is supposedly
"better" than the currently available systems.


What do you mean my "scientific validation"? Is over four years of
correlation and a demonstrated predictive ability not enough? What's
the difference between a suggestive correlation and a validated one?

Tony.





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