“Noise” may have some quantitative properties but nothing that reveals ultimate 
causality without at least factoring all unseen events from the Big Bang 
onward.  Signal to noise is about being able to discriminate something you want 
from something you don’t.   Further, if you wanted to predict the noise part, 
it just wouldn’t be possible.  There are many different signals to consider 
that have differing relevance to different observers, and they to can be easier 
or harder to objectively discriminate from noise too.

> On Sep 8, 2022, at 4:14 PM, Prof David West <profw...@fastmail.fm> wrote:
> 
> It seems, to me, that several conversations here—AI, hallucinogens, 
> consciousness, participant observation, and epistemology—have a common 
> aspect: a body of "data" and disagreement over which subset should be 
> attended to (Signal) and that which is irrelevant (Noise).
> 
> Arguments for sorting/categorization would include: lack of a Peircian 
> convergence/consensus; inability to propose proper experiments; anecdotal 
> versus systematic collection; an absolute conviction that everything is 
> algorithmic and, even if the algorithm has yet to be discerned, it, 
> ultimately, must be; etc..
> 
> I often feel as if my positions on these various topics reduces, in some 
> sense, to a conviction that there is overlooked Signal in everyone else's 
> Noise; even to the point of believing the Noise IS the Signal.
> 
> Is this in any way a "fair' or "reasonable" analysis?
> 
> davew
> 
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