He can look it up on Wikipedia if he wants to know.

From: Friam [mailto:friam-boun...@redfish.com] On Behalf Of Frank Wimberly
Sent: Friday, September 09, 2016 1:16 PM
To: The Friday Morning Applied Complexity Coffee Group <friam@redfish.com>
Subject: Re: [FRIAM] speaking of analytics


Have computers made inferences?  I know the obvious answer but Nick uses 
language in a special way.

Frank

Frank Wimberly
Phone (505) 670-9918

On Sep 9, 2016 1:02 PM, "Nick Thompson" 
<nickthomp...@earthlink.net<mailto:nickthomp...@earthlink.net>> wrote:
M-

No statistic has ever made an inference.

N

Nicholas S. Thompson
Emeritus Professor of Psychology and Biology
Clark University
http://home.earthlink.net/~nickthompson/naturaldesigns/

From: Friam 
[mailto:friam-boun...@redfish.com<mailto:friam-boun...@redfish.com>] On Behalf 
Of Marcus Daniels
Sent: Friday, September 09, 2016 2:42 PM
To: The Friday Morning Applied Complexity Coffee Group 
<friam@redfish.com<mailto:friam@redfish.com>>
Subject: Re: [FRIAM] speaking of analytics

Fine, “statistical inference” then.

From: Friam [mailto:friam-boun...@redfish.com] On Behalf Of Nick Thompson
Sent: Friday, September 09, 2016 12:38 PM
To: 'The Friday Morning Applied Complexity Coffee Group' 
<friam@redfish.com<mailto:friam@redfish.com>>
Subject: Re: [FRIAM] speaking of analytics

And data “mining” is a metaphor.

Now people claim to use metaphors “metaphorically”, by which they mean that 
they mean nothing by them.  But it is my “teery”* (and it is all mine) that 
nobody uses a metaphor but that hizr thinking is influenced by it.  The 
influence can be inexplicit, in which case the user is blind to its effects on 
himmr, or explicit, in which case the user’s imagination is enhanced by its use 
and less likely to be misled by its misuse.   I would like to explore this 
“teery” using “Data Mining” as an example.  How does thinking of data as 
encased in a non-dynamic subterranean matrix shape our (your) thinking for good 
or ill?

*cf, Monte Python’s Flying Circus

Nick Nicholas S. Thompson
Emeritus Professor of Psychology and Biology
Clark University
http://home.earthlink.net/~nickthompson/naturaldesigns/

From: Friam [mailto:friam-boun...@redfish.com] On Behalf Of Eric Charles
Sent: Friday, September 09, 2016 11:31 AM
To: The Friday Morning Applied Complexity Coffee Group 
<friam@redfish.com<mailto:friam@redfish.com>>
Subject: Re: [FRIAM] speaking of analytics

Marcus,
That's an interesting distinction. Is it the case that by "theory" Nick was 
referring to something verbal and explicitly metaphorical, or would the results 
of data mining, which one sought to validate on a different sample, count as a 
"theory".

So, for example, if my data mining of Marine data found that tying shoes 
left-to-right predicted success at Officer Candidate School, and I then went to 
test for that "prediction" in a later sample of incoming officer candidates, to 
what extent is my prediction based on "a theory".

Of course, "data mining will be a  useful way to uncover patterns" is itself a 
theory, applicable in some domains but not others (i.e., not all domains of 
inquiry will contain the sought after patterns in a long-term stable form).

Eric



-----------
Eric P. Charles, Ph.D.
Supervisory Survey Statistician
U.S. Marine Corps

On Fri, Sep 9, 2016 at 10:51 AM, Marcus Daniels 
<mar...@snoutfarm.com<mailto:mar...@snoutfarm.com>> wrote:
“I know that theories are really useful for making predictions, but can one 
actually make a prediction without one?”

Yes, that’s what data mining is:  Take a large corpus of data, find some 
statistically rare relationships, and then test for their predictive value on 
another large corpus of data.     In this way one can predict things without 
really having any kind of theory or even domain knowledge.

Marcus

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Meets Fridays 9a-11:30 at cafe at St. John's College
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