[FRIAM] signal and noise

[Frank Wimberly]

The related *Causal Markov (CM) condition* states that, conditional on the
set of all its direct causes, a node is independent of all variables which
are not effects or direct causes of that node

---
Frank C. Wimberly
140 Calle Ojo Feliz,
Santa Fe, NM 87505

505 670-9918
Santa Fe, NM

On Thu, Sep 8, 2022, 10:04 PM Marcus Daniels <marcus at snoutfarm.com> wrote:

> “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 <profwest at 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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