Robert J Frey Profile picture
Mar 29, 2020 6 tweets 2 min read Read on X
The #Covid_19 crisis is an excellent example of how stress can make systems #Antifragile because it offers us a opportunity to see the weaknesses extant in global travel and supply chains and to develop policies and procedures for dealing with pandemic control and treatment. 1/6
I'm not one for Panglossian interpretations. I do assert, however, that we have a valuable opportunity and, therefore, a real duty to learn and to make definite changes in order that we are better prepared to handle the next--inevitable--pandemic. 2 /6
Despite COVID-19's viciousness it is relatively benign when compared to many alternatives. What if the next challenge is as infectious as a flu but has the rate of morbidity of a hemorrhagic fever? We must change. What we must not do is create a massive Federal program. 3/6
Centralized control has many essential roles to play, but the idea a bureaucrat in DC can direct local response better than those actually on the ground is a fantasy. Over-dependency on the Federal government only delays necessary action by those best able to undertake it. 4/6
One only has to recall the tragedy of Katrina when state and city governments appeared paralyzed waiting for FEMA. How many thousands could have been saved if, for example, local authorities used available transit and school buses to evacuate those stranded in place? 5/6
There is much the Federal gov can do to coordinate and empower local agencies. However, if we respond to this pandemic by creating a huge national bureaucracy that unnecessarily arrogates local authority and responsibility, that will leave us in worse shape than before. 6/6

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More from @financequant

Mar 4, 2021
This is ham-handed government in action where the “greater good” benefits no one and is a disaster to many. There were enough beds somewhere. At Stony Brook there were hundreds of unused beds in temporary buildings built (I think) by the Army Corps of Engineers. 1/4
These buildings were sealed and employed the proper filters. This was a Federal program not unique to NY. Instead of returning recovered healthy elder patients to crowded nursing homes many could have been kept in a safe environment, requiring minimal medical supervision. 2/4
Why were these choices made? I don’t know why Cuomo, Walz, et al did what they did, but I would bet in NYS that it came from not following the details, failing to consult with people on the front lines, and plain old panic. Two of my Aunt’s died because of such policies. 3/4
Read 4 tweets
Apr 15, 2020
The PRC and WHO warned the world not to overreact. Many criticized governments for overreacting. Then the extent of the pandemic became clear. Governments were criticized by some for not reacting earlier. Models began showing potentially huge numbers of fatalities. 1/8
Now there seems to be general consensus that although governments acted late, the fatalities were tragic, they did not hit the extremes forecast so perhaps the government was too aggressive. The fact that appropriate action may be the reason the extremes were avoided 2/8
is lost on many anxious to find any reason to criticize. It's important to understand that in their early stages epidemics grow exponentially. This makes them extremely difficult to manage. Consider a case were you start with 100 cases and you estimate the monthly exponential 3/8
Read 8 tweets
May 21, 2019
Preferences revealed (e.g., dogs vs cats, purchasing patterns, film & book ratings you make, iPhone vs Android) are weak predictors of your politics, sexuality, pregnancy status, the probability you'll repay debts, how secure you feel economically, and many other factors. 1/2
The machine learning technique of boosting (en.m.wikipedia.org/wiki/Boosting_…) can sometimes combine an ensemble of individually weak predictors into a strong predictor. Social media, Amazon and Netflix purchases and ratings, Yelp and Uber reviews, and similar data are easily scraped. 2/2
The point, if it wasn't clear, is that the normal, innocent, and public conduct of your life inadvertently reveals a great deal about you, much of which you probably consider private. The potential misuse of such technology by government, health, and financial orgs is great.
Read 4 tweets

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