[FRIAM] Coronavirus New Mexico numbers.xlsx

David Eric Smith desmith at santafe.edu
Mon Mar 30 20:53:14 EDT 2020 

So this article looks like it points to interesting data:
https://www.nytimes.com/2020/03/30/health/coronavirus-restrictions-fevers.html <https://www.nytimes.com/2020/03/30/health/coronavirus-restrictions-fevers.html>

The limitation there will be representativeness of the sample, since there will presumably be some bias structure in who happens to own Kinsa thermometers.

However, it seems to me like I remember Cambridge Analytica, or some name like that, using search and social-media data to figure out who was interested in what, by who was looking what up.  Can that very big catch-net be used to try to get near-realtime feedback on policy effects?  I know there was the big hue and cry about the problems of using all that data, but if I am not mistaken, none of the companies has given any of it up.  Since fever-prevalence data need not be localized more tightly than demographic sectors to be incredibly useful, that seems like something that could be well-anonymized, but turned into a feedback tool for policy guidance.

Are bigG or FB already doing this?  Anybody else?  

Eric



> On Mar 30, 2020, at 1:43 PM, Dean Gerber <pd_gerber at yahoo.com> wrote:
> 
> All--
> 
> Actual data for NM follows:
> 
> covidtracking.com/data/state/new-mexico/#history <https://covidtracking.com/data/state/new-mexico/#history>
> 
> 
> Highly recommended and talented volunteer group that could use expert help. (Hint, hint).  They act in place of CDC: covidtracking.com
> 
> Also for the curious:
> 
> http://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6 <http://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6>
> 
> http://www.worldometers.info/coronavirus/ <http://www.worldometers.info/coronavirus/>
> 
> Best to all,
> 
> Dean Gerber
> 
> 
> 
> On Sunday, March 29, 2020, 06:20:01 PM MDT, Tom Johnson <tom at jtjohnson.com> wrote:
> 
> 
> Ah yes.  The ol' Behavioral Epidemiology theory.
> 
> ============================================
> Tom Johnson - tom at jtjohnson.com <mailto:tom at jtjohnson.com>
> Institute for Analytic Journalism   --     Santa Fe, NM USA
> 505.577.6482(c)                                    505.473.9646(h)
> NM Foundation for Open Government <http://nmfog.org/>
> Check out It's The People's Data <https://www.facebook.com/pages/Its-The-Peoples-Data/1599854626919671>                 
> ============================================
> 
> 
> On Sun, Mar 29, 2020 at 6:17 PM Frank Wimberly <wimberly3 at gmail.com <mailto:wimberly3 at gmail.com>> wrote:
> The column I added indicates that the derivative is increasing.
> 
> ---
> Frank C. Wimberly
> 505 670-9918
> Santa Fe, NM
> 
> On Sun, Mar 29, 2020, 5:56 PM <thompnickson2 at gmail.com <mailto:thompnickson2 at gmail.com>> wrote:
> Oh, just mine.  The idea that 14 days after the toilet paper orgy the growth rate would peak.  It was also 14 days ago that the schools closed. 
> 
>  
> 
> N
> 
>  
> 
> Nicholas Thompson
> 
> Emeritus Professor of Ethology and Psychology
> 
> Clark University
> 
> ThompNickSon2 at gmail.com <mailto:ThompNickSon2 at gmail.com>
> https://wordpress.clarku.edu/nthompson/ <https://wordpress.clarku.edu/nthompson/>
>  
> 
>  
> 
> From: Friam <friam-bounces at redfish.com <mailto:friam-bounces at redfish.com>> On Behalf Of Tom Johnson
> Sent: Sunday, March 29, 2020 5:12 PM
> To: The Friday Morning Applied Complexity Coffee Group <friam at redfish.com <mailto:friam at redfish.com>>
> Subject: Re: [FRIAM] Coronavirus New Mexico numbers.xlsx
> 
>  
> 
> Which and whose theory is that?
> 
> 
> ============================================
> Tom Johnson - tom at jtjohnson.com <mailto:tom at jtjohnson.com>
> Institute for Analytic Journalism   --     Santa Fe, NM USA
> 505.577.6482(c)                                    505.473.9646(h)
> NM Foundation for Open Government <http://nmfog.org/>
> Check out It's The People's Data <https://www.facebook.com/pages/Its-The-Peoples-Data/1599854626919671>                 
> 
> ============================================
> 
>  
> 
>  
> 
> On Sun, Mar 29, 2020 at 3:51 PM <thompnickson2 at gmail.com <mailto:thompnickson2 at gmail.com>> wrote:
> 
> All, particularly the mother church:
> 
>  
> 
> Don’t you hate it when a perfectly beautiful theory is destroyed by an ugly fact. 
> 
>  
> 
> On to Monday! 
> 
>  
> 
> Nick
> 
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