> Not directly relevant, but another good sci-fi about genetics — Daniel
> Suarez' Change Agent.
>
> davew

Thanks...

I read that earlier this year in response to your general reference to
Suarez (starting with Delta-V?) and my body and soul *still* ache from
the memories!

and Marcus... yes, GATTACA didn't (apparently) anticipate CRISPR

Trans/Posthumanist Utopias have a strong flavor of  Dystopia for me...  

Eloi & Morlocks


>
>
> On Sun, Apr 19, 2020, at 10:41 AM, Steven A Smith wrote:
>>
>> Marcus -
>>
>>
>>
>> I believe that Andrew Niccol DID imagine something like that:
>>
>>
>> I wish I had a pithy preamble for this dystopian BioPunk reference,
>> but perhaps it speaks for itself?
>>
>>
>>     https://en.wikipedia.org/wiki/Gattaca
>>
>>
>> - Steve
>>
>>> Steve writes:
>>>
>>> < The whole world is responding to what is *roughly* the same virus
>>> with *roughly* what is the same human phenotype/metabolism in a
>>> myriad of *roughly* the same modes of human organization. >
>>>
>>> There are hundreds of common HLA alleles across humans.   In a
>>> diverse country like the US, with hundreds of thousands of positive
>>> cases and tens of thousands of deaths the hundreds of alleles would
>>> be well sampled.   Too bad our medical surveillance is so bad, and
>>> made worse by the moron.  Imagine if everyone had full genome
>>> sequencing and every viral sample was deep sequenced. 
>>>
>>> Marcus
>>> ------------------------------------------------------------------------
>>>
>>> *From:* Friam <friam-boun...@redfish.com>
>>> <mailto:friam-boun...@redfish.com> on behalf of Steven A Smith
>>> <sasm...@swcp.com> <mailto:sasm...@swcp.com>
>>> *Sent:* Sunday, April 19, 2020 10:11 AM
>>> *To:* friam@redfish.com <mailto:friam@redfish.com>
>>> <friam@redfish.com> <mailto:friam@redfish.com>
>>> *Subject:* Re: [FRIAM] Judea Pearl: Book of Why
>>>  
>>>
>>>> One way to address the N/A issue is to repeatedly perturb the real-world 
>>>> system so as to elicit those correlations.  When that is practical.. 
>>>
>>> We are, in a time of real-world system perturbation, right now.  The
>>> whole world is responding to what is *roughly* the same virus with
>>> *roughly* what is the same human phenotype/metabolism in a myriad of
>>> *roughly* the same modes of human organization.   This IS a testbed
>>> of human (-system?) response to a widespread, somewhat invisible
>>> threat.   From Wuhan to Singapore to Italy to Iran to Sweden to
>>> Germany to NYC to WA State to the Navajo Nation to Florida's
>>> beaches, this IS a huge coupled systems dynamics/agent-model
>>> executed in real-time by real-people with real casualties and real
>>> consequences.  
>>>
>>> We are, to varying degrees (collectively) recording the results of
>>> these "experiments" and if we are lucky (or smart, or both) we will
>>> do some post-game analysis intended to understand more-better how
>>> best to (self-)organize around a (nearly) existential world-scale
>>> threat.   And to the extent this is a game that will never end, we
>>> have to begin the analysis while we cope with it's consequences.  
>>> Feels a bit like the models pof Physics Interreality.
>>>
>>>     https://journals.aps.org/pre/abstract/10.1103/PhysRevE.75.057201
>>> <https://journals.aps.org/pre/abstract/10.1103/PhysRevE.75.057201>
>>>
>>> Hanging too aggressive of a model on this (or collecting the data 
>>> against too premature of a model) will reduce the utility of such
>>> data gathering and analysis.   Whatever the dual of overfitting a
>>> model is?  Overmodeling?  Premature Modeling?
>>>
>>> What I'm looking (askance) to(ward) Pearl for is a better way of
>>> rapidly constructing, maintaining, revising as generic of a model as
>>> possible in response to "this moment".   Four months ago we should
>>> have been interested in models of how one limits a virus such as
>>> COVID19 getting a foothold in this country.   One month ago we
>>> should have been interested in how one limits COVID19 (with new
>>> understanding of it's virility, it's fatality, it's symptoms, it's
>>> mode of spread) once it HAS a foothold,  now we are faced with
>>> trying to understand how to cope with it once it is pervasive in our
>>> population whilst continuing/returning to "business as usual" and in
>>> another thread, I'm encouraging that we "try to
>>> plan/consider/think-about" what we want to do with this somewhat
>>> "blank slate" (our ass?) we are having  handed to us.  
>>>
>>> And how to think about this without premature modeling... what I
>>> think I was railing (whining/pushing-back) about with Dave on the
>>> Bellamyist thread earlier this morning.
>>>
>>> - Steve
>>>
>>>>> On Apr 19, 2020, at 8:33 AM, uǝlƃ ☣ <geprope...@gmail.com> 
>>>>> <mailto:geprope...@gmail.com> wrote:
>>>>>
>>>>> Well, the argument I often end up making is that you can do a kind of 
>>>>> face validation with the fake data. Show it to someone who's used to 
>>>>> dealing with that sort of data and if the fake data looks a lot like the 
>>>>> data they normally deal with, then maybe more data-taking isn't 
>>>>> necessary. If it looks fake to the "expert", then more data-taking is 
>>>>> definitely needed.
>>>>>
>>>>>
>>>>>> On 4/19/20 8:29 AM, Marcus Daniels wrote:
>>>>>> I have a hard time with this as a way to extend data.   If it is 
>>>>>> high-dimensional it will be under-sampled.  Seems better to me to  
>>>>>> measure or simulate more so that the joint distribution can be 
>>>>>> realistic.  And if you can do that there is no reason to infer the joint 
>>>>>> distribution because you *have* it. 
>>>>>>
>>>>>>
>>>>>>>> On Apr 19, 2020, at 8:18 AM, Frank Wimberly <wimber...@gmail.com> 
>>>>>>>> <mailto:wimber...@gmail.com> wrote:
>>>>>>>>
>>>>>>> 
>>>>>>> Going back and forth:  If you infer the causal graph from observational 
>>>>>>> data you can use that graph to simulate data with the same joint 
>>>>>>> distribution as the original data.
>>>>>>>
>>>>> -- 
>>>>> ☣ uǝlƃ
>>>>>
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