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_ger...@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 <t...@jtjohnson.com> 
> wrote:
> 
> 
> Ah yes.  The ol' Behavioral Epidemiology theory.
> 
> ============================================
> Tom Johnson - t...@jtjohnson.com <mailto:t...@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 <wimber...@gmail.com 
> <mailto:wimber...@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 <thompnicks...@gmail.com 
> <mailto:thompnicks...@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
> 
> thompnicks...@gmail.com <mailto:thompnicks...@gmail.com>
> https://wordpress.clarku.edu/nthompson/ 
> <https://wordpress.clarku.edu/nthompson/>
>  
> 
>  
> 
> From: Friam <friam-boun...@redfish.com <mailto:friam-boun...@redfish.com>> On 
> Behalf Of Tom Johnson
> Sent: Sunday, March 29, 2020 5:12 PM
> To: The Friday Morning Applied Complexity Coffee Group <friam@redfish.com 
> <mailto:friam@redfish.com>>
> Subject: Re: [FRIAM] Coronavirus New Mexico numbers.xlsx
> 
>  
> 
> Which and whose theory is that?
> 
> 
> ============================================
> Tom Johnson - t...@jtjohnson.com <mailto:t...@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 <thompnicks...@gmail.com 
> <mailto:thompnicks...@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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