I think it's that the 'average' wave is a glassy smooth sea...
Statistics seems to depart from reality, for the convenience of science.

Phil Henshaw                       ¸¸¸¸.·´ ¯ `·.¸¸¸¸
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680 Ft. Washington Ave 
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explorations: www.synapse9.com  


> -----Original Message-----
> From: [EMAIL PROTECTED] 
> [mailto:[EMAIL PROTECTED] On Behalf Of Marcus G. Daniels
> Sent: Friday, February 15, 2008 11:19 AM
> To: The Friday Morning Applied Complexity Coffee Group
> Subject: Re: [FRIAM] FW: National Science Foundation Update 
> DailyDigest Bulletin
> 
> 
> Nicholas Thompson wrote:
> > I am too dumb to know the degree to which I am being kidded here.
> > Please explain..
> Suppose 100 people give 999 responses to yes/no questions and all of 
> them answer by flipping a coin.  A final answer correctly answers the 
> question "Are your eyes blue?"  Just by chance, amongst those 
> 999 coin 
> flips some can be weakly correlated to the eye color question 
> and linear 
> combinations of them may turn out to be even more correlated 
> (as there 
> are more bits for encoding, bogus covariation though it is).  So 
> sometimes there is a need to generalize or `regularize' high 
> dimensional 
> data to reduce overfitting.   A simulation is potentially one 
> way to do 
> regularization.  Another example is using an `average face' for face 
> recognition:
> 
http://www.sciencemag.org/cgi/content/abstract/319/5862/435
>  
>  
>
>     ----- Original Message -----
>     *From:* Douglas Roberts <mailto:[EMAIL PROTECTED]>
>     *To: [EMAIL PROTECTED]
>     <mailto:[EMAIL PROTECTED]>;The Friday Morning Applied
>     Complexity Coffee Group <mailto:friam@redfish.com>
>     *Sent:* 2/15/2008 8:41:18 AM
>     *Subject:* Re: [FRIAM] FW: National Science Foundation Update
>     Daily Digest Bulletin
>
>     Run that lousy data through a simulation, and then publish the
>     results as truth.
>
>     Works every time!
>
>     --Doug
>


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