It gets exponentially harder to sample the composition as sources are added.   
So, they won't be sampled, and thus conclusions drawn from the under-sampled 
composition probably won't be constraining the shape, because the shape is vast 
and unknown.   Which is convenient if one doesn't want to defend their position 
quantitatively.  

-----Original Message-----
From: Friam <friam-boun...@redfish.com> On Behalf Of glen
Sent: Wednesday, September 21, 2022 1:27 PM
To: friam@redfish.com
Subject: Re: [FRIAM] Scientismists & functional noise

I don't really get how that assertion relates to Dave's overlooked Signal. But 
it does fit right into K&W's assertion that sometimes tossing in more noise can 
help tease more signal from prior noise.

I disagree, though, that Monte Carlo is *unbiased*. It's really just a 
composition of sources for variation. Those sources, their shape and 
[ex|in]clusion, and the method by which they're composed can bias the 
composition one way or another. It may be the least biased way of doing the 
composition. But it's not *un*biased.

On 9/21/22 10:37, Marcus Daniels wrote:
> Monte Carlo techniques aren't drawing upon some other source of knowledge.  
> It's an unbiased way to do search.
> 
> -----Original Message-----
> From: Friam <friam-boun...@redfish.com> On Behalf Of glen
> Sent: Wednesday, September 21, 2022 9:48 AM
> To: friam@redfish.com
> Subject: [FRIAM] Scientismists & functional noise
> 
> An exchange of letters on the role of noise in collective intelligence Daniel 
> Kahneman, David C Krakauer, Olivier Sibony, Cass Sunstein, David Wolpert
> https://journals.sagepub.com/doi/full/10.1177/26339137221078593
> 
> Yet more evidence that Dave's not alone in his "conviction that there is 
> overlooked Signal in everyone else's Noise".

-- 
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