Why It's Good for COVID-19 Models to Be Wrong

As we react to the predictions that epidemiological models make, changing the ways we act and go about our lives, those estimates can appear totally off. But if a model’s predictions end up being wrong, that might mean it's done exactly the job it was supposed to.

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Sources:
https://www.nytimes.com/2020/03/17/world/europe/coronavirus-imperial-college-johnson.html
https://www.ft.com/content/67e6a4ee-3d05-43bc-ba03-e239799fa6ab
https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/bulletins/deathsregisteredweeklyinenglandandwalesprovisional/latest
http://www-sop.inria.fr/members/Ian.Jermyn/philosophy/writings/Boxonmaths.pdf
https://www.nature.com/articles/d41586-020-01003-6
https://www.imperial.ac.uk/media/imperial-college/medicine/sph/ide/gida-fellowships/Imperial-College-COVID19-NPI-modelling-16-03-2020.pdf
https://covid19.healthdata.org/united-states-of-america
https://wwwnc.cdc.gov/eid/article/26/7/20-0282_article