Keywords
Cambell's Law, coronavirus, COVID-19, social construction, statistics
Abstract
Campbell's Law warns that when measurements become consequential those whose performance is being measured may try to skew the results. This case study examines the Trump administration's efforts to present COVID-19 statistics that would discourage restricting economic activities and encourage reopening the economy.
DOI
https://doi.org/10.5038/1936-4660.14.1.1378
Recommended Citation
Best, Joel. "How to Lie with Coronavirus Statistics: Campbell's Law and Measuring the Effects of COVID-19." Numeracy 14, Iss. 1 (2021): Article 6. DOI: https://doi.org/10.5038/1936-4660.14.1.1378
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
