Uploaded April 2023 | Updated September 2026, 2 days ago
Back in early days of the COVID-19 pandemic, Dr. John Ioannidis wrote an article in March of 2020 questioning government statistics about the fatality rate associated with COVID-19. The backlash was swift and brutal and John’s reputation as one of the most influential scientists in the world took a beating.
Today, Ioannidis makes his second appearance on STEM-Talk to discuss his extensive research into the COVID-19 pandemic as well as the public shaming he received in 2020 for questioning the World Health Organization’s prediction of a 3.4 percent fatality rate associated with COVID-19.
He talks about his most recent peer-reviewed paper that looked at the age-stratified infection fatality rate of COVID-19 in the non-elderly population. The study found that the pre-vaccination fatality rate for those infected may have been as low as 0.03 percent for people under 60 years old, and 0.07 percent for people under 70, far below the World Health Organization’s prediction of a 3.4 percent fatality rate.
In this episode, Ioannidis walks us through this paper, as well as what he describes as the U.S. government’s bungled response to COVID-19. He also discusses the importance of collecting reliable data in the future to guide disease modelers and governments before they make decisions of monumental significance like lockdowns. He goes on to share how he underestimated the power that politics and the media, or powers outside of science, can have on science.
Over the past two decades, his research has earned him a global reputation as a consummate physician and researcher, which contributed to The Atlantic describing him in 2010 as one of the most influential scientists alive. He is a professor of Medicine, Epidemiology and Population Health as well as a statistician and professor of biomedical data science at Stanford University.
Back in 2018 when we interviewed him on episode 77 of STEM-Talk, we talked about his 2005 paper questioning the reliability of most medical research. The paper, titled, “Why Most Published Research Findings Are False,” found that much of the medical science reported in peer-reviewed journals is flawed and cannot be replicated. The paper is the most citied article in the history of the journal PLoS Medicine and has been viewed more than 3 million times.
Full shownotes: ihmc.us/stemtalk/episode-151
00:00 Intro
03:00 Start of Interview
1:09:04 End of Interview
Back in early days of the COVID-19 pandemic, Dr. John Ioannidis wrote an article in March of 2020 questioning government statistics about the fatality rate associated with COVID-19. The backlash was swift and brutal and John’s reputation as one of the most influential scientists in the world took a beating.
Today, Ioannidis makes his second appearance on STEM-Talk to discuss his extensive research into the COVID-19 pandemic as well as the public shaming he received in 2020 for questioning the World Health Organization’s prediction of a 3.4 percent fatality rate associated with COVID-19.
He talks about his most recent peer-reviewed paper that looked at the age-stratified infection fatality rate of COVID-19 in the non-elderly population. The study found that the pre-vaccination fatality rate for those infected may have been as low as 0.03 percent for people under 60 years old, and 0.07 percent for people under 70, far below the World Health Organization’s prediction of a 3.4 percent fatality rate.
In this episode, Ioannidis walks us through this paper, as well as what he describes as the U.S. government’s bungled response to COVID-19. He also discusses the importance of collecting reliable data in the future to guide disease modelers and governments before they make decisions of monumental significance like lockdowns. He goes on to share how he underestimated the power that politics and the media, or powers outside of science, can have on science.
Over the past two decades, his research has earned him a global reputation as a consummate physician and researcher, which contributed to The Atlantic describing him in 2010 as one of the most influential scientists alive. He is a professor of Medicine, Epidemiology and Population Health as well as a statistician and professor of biomedical data science at Stanford University.
Back in 2018 when we interviewed him on episode 77 of STEM-Talk, we talked about his 2005 paper questioning the reliability of most medical research. The paper, titled, “Why Most Published Research Findings Are False,” found that much of the medical science reported in peer-reviewed journals is flawed and cannot be replicated. The paper is the most citied article in the history of the journal PLoS Medicine and has been viewed more than 3 million times.
Full shownotes: ihmc.us/stemtalk/episode-151
00:00 Intro
03:00 Start of Interview
1:09:04 End of Interview
