oliver beige Profile picture
Feb 9 11 tweets 2 min read
To summarize a longer private conversation: In the long reckoning, no restrictive public measure will survive any rigorous scrutiny. It was all protection theater. Measures that made a difference were all in the backend, the access-to-care part, that nobody paid any attention to.
That summarizes a claim I made a long time ago. If a country is diligently prepared for a pandemic, most public restrictions are unnecessary. If it's not, they might seem unavoidable, but ultimately pointless. Protection theater for a shell-shocked populace.
So the biggest mistakes were already made ten-plus year ago. The "rationalization" of the healthcare, eldercare, and disaster preparedness systems, euphemism for cost-saving measures that killed valuable operational expertise in favor of spreadsheet wizardry.
The next big mistake was to put the people with the least operational expertise, the least sang-froid, and the least ability to think straight in charge. The first people you should throw out of any crisis control room by their collars are the professors. We put them in charge.
You don't fucking follow the scientists in a fast-changing environment. You follow the science that has been accumulated prior, and distilled into disaster preparedness protocols. But we threw those out and replaced them with vainglorious nutcases making shit up on the fly.
Why do we already know public restrictions didn't make a difference? There are two obvious ways to reject, or fail to reject, the null hypothesis of "treatment effect indistinguishable from random noise": Diff-in-diff and event sequence. We've already done both ad nauseam.
There are thousand of pairs with similar external conditions and all variations of {treatment, no treatment} bundles. The ones you see on twitter, Norway-vs-Sweden, are the special pleading types. Take a random pair, blind it and guess which timeline is which. Most will fail.
The more entertaining tests are the event sequence tests, aka "retroactive miracles", which explain why large parts of the academic community recalcitrantly refused to accept that we observe events with a lag. Bc that would revert effect and cause, and time doesn't flow backward.
The massive social cost of handing the steering wheel to folks with zero operational competence, an experience horizon that doesn't go beyond spreadsheets, a tenuous grasp on the fundamentals of their own field, is that it distracted us from doing the things that made sense.
Which is really fucking put the resources in place to protect the people that are actually dying from Covid rather than appease the well-situated laptop class and put masks on kids. A stunning institutional failure that stems from confusing academic attainment for expertise.
Let's not do this again, and especially stop that endless supercilious drivel coming from the foolish idea that because you have an advanced degree you have some exclusive access to moral superiority. Or maybe start by learning how to properly construct a moving average.

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More from @oliverbeige

May 14, 2021
If you had Ames, Iowa on your bingo card for hotbeds of innovation research — Bingo. Indeed the technology adoption curve (aka the most important curve in history) was invented by rural sociologists at Iowa State College some 70 years ago.* A little history. Image
WW2 put pressure on US food supplies, and a variety of technological innovations in agriculture promised improved yields. The rural sociologists were mostly concerned how these improved technologies could be made attractive to farmers, a notoriously skeptical bunch. Image
In the 1940s two researchers at ISC, Bryce Ryan and Neal Gross, conducted field research on how Iowa famers adopted the novel hybrid seed corn. Their report already contained the key ingredients: risk preferences, social contagion, geographic spread, and the logistic curve. Image
Read 14 tweets
Dec 5, 2020
A few notes on coordination, adaptation, and the role of institutions.

"Both the organization theorist Chester Barnard and the economist Friedrich Hayek took adaptation to be the main purpose of economic organization, but with differences." — Oliver Williamson Nobel Lecture
Unlike cooperation, which has taken on the meaning of "solving the Prisoner's Dilemma" and collaboration, which just generically means "working together", coordination suffers from being semi-defined, which often means one has to divine the type of coordination implied.
Based on a very useful pointer from @petergklein, it turns out the meaning of coordination has shifted over time, from longitudinal alignment (concatenation) to simultaneous alignment.
Read 16 tweets
Nov 5, 2020
While we're killing time I can translate and summarize a podcast talk I gave in 2017 (in German) on how Donald Trump confounded the poll aggregators and won the election. Because clearly the message still hasn't gotten across, or we wouldn't still be waiting. 1/♾
The story started for me in March 2016 when a coworker predicted during lunch that Trump (still mostly a joke then) would win the election. I proposed that the only way for him to do it would be to stay on message and at the same time discourage Clinton voters from voting.
If you remember, a lot of pundits assumed that Trump was playing an outsider role to clear the field during the primaries and then would turn more "presidential" in order to appeal to the centrist establishment voters. As has been the masterplan for decades.
Read 20 tweets
Aug 21, 2020
Very interesting thread about the relevance of Coase's Nature of the Firm for the platform age. I've written a few things about how working on a dynamic ridesharing* service in 2009 helped me connect Coase/Williamson to digital business models, so here's a few summary comments.
The current focus of the public debate is the often contentious relationship between drivers and platform, but in order to understand the structure of the industry, it's also important to look at the underlying relationship, namely that between driver and passenger.
A key problem we had to consider when conceptualizing our service was how to safeguard both drivers and passengers. Turns out when you look into the history of taxicab and limo services, it is fraught with what we like to call "contractual hazards"...
Read 10 tweets
Apr 24, 2020
Hospital routing, hospitals in crisis, empty hospitals, whole hospital systems facing collapse. A short thread.

There are currently lots of seemingly conflicting news items about hospitals like the ones above. The dissonance is a sign of an information cascade.
Finding the right balance between patient needs: give sick patients the best care available quickly, and hospital needs: have all resources in place to provide this care, is the ultimate determining factor in a successful response to Corona.

It's what I look at first.
The shorthand for this is "hospital routing": the many complex decisions, in the government and on the ground in the hospitals, about which patients to admit, and which patients to send into home quarantine.

No country will be able to handle this perfectly.
Read 11 tweets
Apr 23, 2020
A short thread on graph theory and network science. Both have long histories, but I'll focus on two people: Frank Harary, the "godfather of modern (American) graph theory", and Duncan Watts, the "reinventor" of network sociology, which morphed into network science.
The idea that all kinds of bilateral relationships can be simplified to some kind of network structure is quite old (Euler's Königsberg bridge problem is canonical), but for the longest time it was considered "toy mathematics" at best.
Most academics should probably not publish more than 3-5 pieces in their lives. One of the few exceptions was Frank Harary at the University of Michigan, who was on a mission to show the world that everything can be explained with dots and lines: graphs.
Read 19 tweets

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