The early phase of the Covid pandemic in Lombardy, spring 2020. In most provinces (including Lodi and Bergamo) Rt peaked in February, before the onset of mass testing.
The paper reconstructs the beginning of the pandemic before the first public case in Codogno (Feb 14). It was already widespread in Lombardy by mid February, and showed no connection to population density.
The paper reports by symptom onset, so take another 5-6 days off to capture the outbreak by infection date. This confirms the many, statistical mistakes of the "Burn-Murdoch race chart" era. We were chasing ghosts that had passed thru already.
researchgate.net/publication/35…
"Mattia", hospitalized in Codogno (Lodi) on Feb 14, identified as the Covid patient 1 on Feb 20, the very day Rt in Lodi peaked *by symptom onset*. Two day later the first reported death in Vo (Padua), some 180km East.
The cited Riccardo (2020) paper gives us this (Italy-wide) graph, on the difference between date reported and symptom onset. eurosurveillance.org/content/10.280…
And finally the geographic flow. We still got the Lodi-to-Ancona route, but more likely now the Bergamo-to-Bolzano route, commensurate with the outbreak northeast of Bergamo. This route continues to Innsbruck, Tyrol.
Aaaand of course something we've known for a long time: the age distribution of mortality from Covid.
It was over before we had a chance to chase the ghosts.
Rt by region, from Riccardo (2020).

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More from @oliverbeige

Apr 3
Emerging public discussion in 🇩🇪 that the internal debate of the German health office @rki_de didn't match the political pronouncements, centering on 17 March 2020 and the call to increase Covid hazard level from "moderate" to "high".

A good opportunity to recapitulate...
...the biggest mistakes that drove the response to the pandemic.

1⃣ The perpetual lack of recognition that we were observing events that had occurred weeks before, and the refusal to account for this.

What exactly happened on March 17? Nothing much in terms of the spread. /2
Like most other countries, Germany started to expand testing rapidly, leading to a massive increase in cumulative numbers, dramatically visualized in dashboards and charts.

But the rate of positive tests (MPC in my nomenclature) stayed mostly the same thru March. /3
Read 44 tweets
Aug 7, 2023
The German health authority @rki_de has evaluated the efficacy of pandemic restrictions it supported, and unsurprisingly it awarded itself a good grade. Overall everything worked out quite well, it says. We looked under the hood and found some surprises. A thread (🇩🇪 below). /1
For starters, in order to show that an intervention had a hypothesized causal effect, a study has to be able to reject the null hypothesis. The null hypothesis generically says that the observed curved, with its ups and downs, was not caused by the hypothesized factors. /2
To reject the null hypothesis in a setting like this, a study has to show two things: that an effect happened after an intervention ("post hoc"), and that it happened because of the intervention ("propter hoc"). The RKI study ignores the first and fails at the second. /3
Read 28 tweets
Jan 8, 2023
I was asked to elaborate on why this claim is nonsense, so a good opportunity to summarize a few things I wrote about game theory, machine learning, and Silicon Valley over the years.
Exhibit 1. A short clip on just how much Silicon Valley runs on game theoretic concepts, in many cases decades adopted decades after they had been invented and languished in obscurity. link.medium.com/wtm0D49zqwb
Hal Varian crossing the SF Bay to bring the "new", game-theory derived Industrial Organization to the Silicon Valley tech companies might've been just as much of a historical juncture as Michel Porter crossing the Charles River from Harvard Econ to HBS.
Read 13 tweets
Jan 1, 2023
A book a day on the Cold War era development of cybernetics, game theory, information science, and operations research: histories, biographies, autobiographies.

Day 1. Age of System: Understanding the Development of Modern Social Science by Hunter Heyck. play.google.com/store/books/de…
Day 2 in the history of cybernetics etc. Rise of the Machines: the lost history of cybernetics by Thomas Rid. play.google.com/store/books/de…
Day 3. The classic: Philip Mirowski's Machine Dreams: Economics Becomes a Cyborg Science play.google.com/store/books/de…
Read 12 tweets
Nov 26, 2022
@CzypionkaThomas Hab genau das Gleiche so im März 2020 geschrieben. Ist halt leider komplett durch die Realität widerlegt worden. Wissenschaftlich ausgedrückt: die Nullhypothese ist nicht falsifizierbar, ganz einfach weil die Nullhypothese viel näher an der Realität ist als die Kausalhypothese.
@CzypionkaThomas Anders ausgedrückt, das was wir damals als kausal angesehen haben (Japan, Hongkong etc.) hat sich nicht in irgendeiner Form irgendwo anders replizieren lassen, insbesondere nicht in den populären Universalhypothesen "Maske wirkt" oder, enger umschrieben, "Maskenpflicht wirkt".
@CzypionkaThomas Zugegebenermassen ist die Hürde für einen Kausalnachweis doppelt hoch: eine Differenz zwischen Treatment und Control muss nicht nur statistisch signifikant sein, sondern auch politikrelevant, dh die Wirkung muss gross genug sein um die Sozialkosten des Eingriffs zu rechtfertigen.
Read 6 tweets
Nov 15, 2022
A single truth without a single source: a thread 🧵. Thinking about decentralized systems means thinking about how an organization can agree upon what it holds to be true and how this relates to the actual ground truth. /1
A “single source of truth” is a concept from information science, but it’s so universal that it can be applied to a whole variety of scenarios and organizations. /2
It means that whenever participants disagree about the state of the world, or a particular aspect of it, a single designated participant gets to decide which state is the true state. /3
Read 26 tweets

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