Misuse & Misinterpretation of COVID Statistics with Professor Norman Fenton

**Podcast Episode Description:**

In this powerful episode, I sit down with Professor Norman Fenton, Mathematician and Professor of Risk Management at Queen Mary University, London. Together, we explore the data surrounding COVID-19 and the COVID injection program to question whether it aligns with what we’re being told by authorities.

Professor Fenton dives into his research on COVID infection and fatality rates, the risk factors for COVID deaths, and the impact of early treatment options that were banned. We also examine significant issues like Relative Risk Reduction vs Absolute Risk Reduction, misleading information, and the reported efficacy of the injections. Importantly, Professor Fenton shares insights on all-cause mortality, cardiac-related athlete deaths, and why certain data regarding COVID injections and pregnant women raises concern.

Join us as we discuss:

- Infection fatality rates and risk factors for COVID deaths
- Differences in relative vs absolute risk reduction
- Insights on mortality rates and causes in both jabbed and un-jabbed individuals
- Media reporting on COVID data and why alternative perspectives were often sidelined

Discover Professor Fenton’s perspectives on whether the data supports the mainstream narrative and what it may mean for public trust in health authorities.

**Follow Professor Norman Fenton:**
🌐 [Website](http://www.normanfenton.com)
🐦 [Twitter](https://twitter.com/profnfenton)
📺 [YouTube](https://www.youtube.com/@NormanFenton81)
💬 [Gettr](https://gettr.com/user/normanfenton)

Tune in to get a deeper look at the numbers behind the headlines and decide for yourself if the data aligns with the message from those in authority.