We Want Them Infected Podcast Predictions vs. Reality: Examining Dr. Loannidis' Claims
In this discussion, Dr. Jonathan Howard and Wendy Orent discuss the early responses to the COVID-19 pandemic and the role of Dr. John E. Loannidis, a renowned scientist. They examine his initial underestimation of the virus's impact, the flaws in his predictions, and his shifting perspectives over time.
Resources Mentioned:
- Dr. John E. Ioannidis' early writings on COVID-19
- Stat News article "A Fiasco in the Making: As the Coronavirus Pandemic Takes Hold, We Are Making Decisions Without Reliable Data" (March 17, 2020)
- European Journal of Clinical Investigation article "Coronavirus Disease 2019: The Harms of Exaggerated Information and Non-Evidence-Based Measures" (March 19, 2020)
- Stephanie Seneff's critique of the Santa Clara antibody study
- Statistician Andrew Gelman's analysis of the study
Looking for something specific? Here you go!
0:00 - Introduction to the podcast episode discussing early pandemic responses and hosts Dr. Jonathan Howard and Wendy Orent.
3:10 - Discussion about Dr. John E. Loannidis and his role in questioning COVID-19 data and his contributions to evidence-based medicine.
3:52 - Dr. Loannidis' reputation as an expert in scientific methodology and evidence-based research, along with his early recognition of Elizabeth Holmes as a fraud.
12:24 - Reference to early pandemic concerns in Italy and New York and Dr. Loannidis' initial prediction of COVID-19's impact.
12:45 - Confirmation of the severity of the situation in Italy and New York during the early pandemic and Dr. Ioannidis' early prediction of 40,000 deaths in the USA.
16:05 - Analysis of Dr. Loannidis' prediction of 40,000 deaths and its accuracy, along with discussion of the Santa Clara antibody study and its criticism.
16:07 - Details about the Santa Clara antibody study, its implications, and criticism of its methodology and accuracy.
17:50 - Introduction to a discussion on a Fox News interview with Dr. Loannidis, his background, and credentials, as well as his early skepticism about COVID-19 data and revised assessment of fatality rates.
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