Dave, 

You're going to lose this argument with me eventually, because any 
investigatory practice that works in the long run I am going to declare to be 
part of "the scientific method."  So if you declare that discovery is enhanced 
by lying in a warm suds bath smoking pot, and you can describe a repeatable 
practice  which includes that as a method, and that method produces enduring 
intellectual and practical structures such as the periodic table, then I will 
simply say, "That's science."

I am not sure this works with my falsifiability schtik, but that must have been 
at least 4 hours ago.  So "before lunch".  

 Nick

Nicholas Thompson
Emeritus Professor of Ethology and Psychology
Clark University
thompnicks...@gmail.com
https://wordpress.clarku.edu/nthompson/
 


-----Original Message-----
From: Friam <friam-boun...@redfish.com> On Behalf Of Prof David West
Sent: Saturday, April 18, 2020 5:07 PM
To: friam@redfish.com
Subject: [FRIAM] basis for prediction — forked from the tail end of 
anthropological observtions

Consider three entities making 2016 political predictions and their predictions.

1- "cognoscenti" those citing poll data, Nate Silver (albeit as everyone notes, 
the citation was more interpretation than citation), pundits, et. al. — Trump, 
at various times, has 1/1000 to 1/3 chance of winning the election.

2- Scott Adams - Trump "very likely"  will win to "almost certain" he will win.

3- davew - Trump will win.

# 3 is a fool because he made no effort whatsoever to hedge his prediction.

The first group used traditional polling, statistical modelling, etc. to come 
to their conclusions.

Scott Adams used none of those methods/tools but, as described in his book — 
Win Bigly — the language and rhetoric analysis tools/techniques he did use.

davew remains coy about how he came to his certainty.

QUESTIONS:  Are there different approaches, different avenues, different means, 
for acquiring "knowledge?" I am being vague here because I do not know how to 
make the question precise.  But it would have something to do with different 
definitions of what is considered data and different techniques/tools for 
digesting that data to form conclusions — in this instance predictions.

If there are different approaches, is a comparative analysis of them possible? 
desirable?

Different approaches — useful in different contexts? How to determine 
appropriate contexts.

Or, is there but one avenue to knowledge — Science — and all else is 
idiosyncratic opinion?

Personally, I think there is use in pursuing this type of question and then 
using the answers / insights to makes sense of the multiple conversations 
concerning COVID and the response thereto.

davew


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