Marcus, 

 

Thanks.  What you propose seems feasible.  It seems more feasible, in fact, 
than 300 million Americans staying in their houses for a month, and THAT has 
already happened.  March Madness indeed!

 

Let’s see what happens in Georgia.  And Sweden.  Sweden seems to be trying a 
version of the controlled burn strategy.  

 

Nick 

 

Nicholas Thompson

Emeritus Professor of Ethology and Psychology

Clark University

 <mailto:[email protected]> [email protected]

 <https://wordpress.clarku.edu/nthompson/> 
https://wordpress.clarku.edu/nthompson/

 

 

From: Friam <[email protected]> On Behalf Of Marcus Daniels
Sent: Sunday, April 26, 2020 1:54 PM
To: The Friday Morning Applied Complexity Coffee Group <[email protected]>
Subject: Re: [FRIAM] Mawdel Tawk

 

I think the modeling without priors occurs because of the failed surveillance.  
 If there had been aggressive testing, contact tracing, and quarantining, the 
spread might be have been stopped, but, even if it were not, at least there 
would be case history stories that could be put into an agent-based model.  Are 
spread rates on the subway different than at churches and sports events or 
Mardi Gras?   There was no competent effort to do that, so modelers like 
Murray’s team fish for explanatory variables retrospectively.    Such models 
could probably make precise predictions if millions of people had test kits 
arrive in the mail the first week, and Apple and Google coordinated to have 
them relay diagnosis information (via smartphones) to a central repository.

 

From: Friam <[email protected] <mailto:[email protected]> > on 
behalf of "[email protected] <mailto:[email protected]> " 
<[email protected] <mailto:[email protected]> >
Reply-To: The Friday Morning Applied Complexity Coffee Group <[email protected] 
<mailto:[email protected]> >
Date: Sunday, April 26, 2020 at 11:33 AM
To: 'The Friday Morning Applied Complexity Coffee Group' <[email protected] 
<mailto:[email protected]> >
Subject: [FRIAM] Mawdel Tawk

 

Dear Wizards, 

 

I commend to your attention a blog post from 538 in which Nate Silver talks 
with the guy who leads the University of Washington health metrics modeling 
operation.  I understood barely one word in five, but the chief difference 
between them seems to be on the degree to which they rely on priors or curve 
fitting.  You folks will, I predict, know what that means.  Don’t hesitate to 
explain it to me. 

 

https://podcasts.apple.com/us/podcast/model-talk-forecasting-the-toll-of-covid-19/id1077418457?i=1000472325708

 

Nick 

 

Nicholas Thompson

Emeritus Professor of Ethology and Psychology

Clark University

[email protected] <mailto:[email protected]> 

https://wordpress.clarku.edu/nthompson/

 

 

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