Icosian Reflections

The crisis through which we are passing

is only part of our day’s work.

IN  WHICH Ross Rheingans-Yoo—a sometime economist, trader, artist, expat, poet, EA, and programmer—writes on things of int­erest.

Reading Feed (last update: May 17)

A collection of things that I was glad I read. Views expressed by linked authors are chosen because I think they’re interesting, not because I think they’re correct, unless indicated otherwise.


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Blog: Don't Worry About the Vase | Formula for Dying Babies


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Blog: Marginal Revolution | Ask and they shall deliver — "Companies in the [EU] would be allowed to build wind and solar projects without the need for an environmental impact assessment, according to draft proposals obtained by the Financial Times that call for the fast-track permitting of renewable projects in designated “go-to” areas."

Comic: xkcd | Health Data

Blog: Marginal Revolution | Infant Formula, Price Controls, and the Misallocation of Resources

Blog: In the Pipeline | Personal Paxlovid Update


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Blog: Marginal Revolution | I favor bird consequentialism — Environmental conservation opposes radical climate

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January 16 Links: Technologies, Games, and Play

Yes, the Friday linkwrap is, in fact, going out on Friday. We're living in the future!

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The Harvard Political Review reports that a Chicago nonprofit is scraping Twitter to pass on complaints about food poisoning in restaurants to the Chicago Department of Public Health:

Foodborne Chicago depends on human judgment in addition to computerized predictions. First, the algorithm "surfaces tweets that are related to foodborne illnesses." Next, "a human classifier goes through those complaints that the machine classifies, [...determining] what is really about food poisoning and what may be other noise." The Foodborne team then tweets back at the likely cases, providing a link for users to file an official complaint. In short, computers deal with the massive quantity of Twitter data, and humans ensure the quality of the result. According to its website, between its launch on March 23, 2013 and November 10, 2014, the Foodborne algorithm flagged 3,594 tweets as potential food poisoning cases. Of these tweets, human coders have identified 419,

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