How to be a Curious Consumer of COVID-19 Modeling: 7 Data Science Lessons from ‘Effectiveness of COVID-19 shelter-in-place orders varied by state’ (Feyman Et Al 2020)
WORKING DRAFT: COMMENTS WELCOME! Acknowledgments: The author wishes to thank Yevgeniy Feyman for suggesting their paper for this review. I am also grateful for feedback and corrections from a number of people, particularly Andres Gannon, Thomas Scherer, Marc Jaffrey, and Andrew Gelman. How should non-epidemiologists publicly discuss COVID-19 data and models? I asked this question at the start of the pandemic when law professor Richard Epstein claimed COVID-19 would not be a serious global health threat
