Applying Bayesian reasoning to misconceptions in the COVID-19 pandemic
- Quality Progress
- August 2021
- Volume 54 Issue 8
- pp. 24-31
- Ferryanto, Liem, Ferryanto Ersta P., Ferryanto, Ananta P.
- Applied Materials, Santa Clara, CA., AMITA Health, Chicago, IL, University of Toronto, Canada
In ill-informed, misguided attempts to explain the COVID-19 outbreak, many constructed an inaccurate causal inference about the country where the virus was first reported and people
of Asian descent increasing the chance of getting or spreading the virus. This created harmful stereotypes toward Asians and Asian Americans. To disprove the stereotypes, the authors show how a simple probabilistic Bayes’ rule can combat these misconceptions and make sense of a very complex situation.