[FRIAM] Future Generating Machines...

[Marcus Daniels]

I don't like to be the person to pick on government as other large organizations also have a problem with losing signal.   There are just too many people involved, and too many people that want to "move up" and tell others what to do.   It leads to a tolerance for stupidity and incompetence.   People become skilled in "internal dynamics" and "chain of command" instead things that are operationally required of their organization.   The routing of people to roles is sloppy and based on crude information and crude models.  

https://www.brookings.edu/book/thickening-government/

-----Original Message-----
From: Friam <friam-bounces at redfish.com> On Behalf Of Marcus Daniels
Sent: Monday, March 29, 2021 10:23 AM
To: The Friday Morning Applied Complexity Coffee Group <friam at redfish.com>
Subject: Re: [FRIAM] Future Generating Machines...

For example, in spite of the billions spent on the NIH we had the fantastic public health failure of COVID-19.  

-----Original Message-----
From: Friam <friam-bounces at redfish.com> On Behalf Of u?l? ???
Sent: Monday, March 29, 2021 10:09 AM
To: friam at redfish.com
Subject: Re: [FRIAM] Future Generating Machines...

That's a bold assertion. I'd argue that any surviving bureaucracy works *most* of the time, almost by definition. Of course, *new* bureaucracies probably fail most of the time. Then it would be important to be able to talk about bureaucratic novelty. E.g. the ACA (ObamaCare) was not a *new* bureacracy. And it didn't really fail. There were various stalls and hiccups. Now that that bureaucracy is up and running, it's "working" ... maybe not optimally. But optimality is persnickety.

In any case, only data would resolve the disagreement. And in order to gather data, you'd have to be explicit about measuring "work", as well as novelty and bureaucracy.

On 3/29/21 9:41 AM, Marcus Daniels wrote:
> 
> Bureaucracies barely work most of the time.

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↙↙↙ uǝlƃ

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