Manage episode 521963278 series 2866565
M. Nathaniel Mead PhD returns to the podcast for an insightful discussion on scientific illiteracy, censorship, and the authoritative overreach that shaped the COVID-19 pandemic. What key information was dismissed, downplayed, or distorted by mainstream institutions? Press play to see for yourself…
Nathan is a public health researcher, author, editor, educator, biomedical heretic, and McCullough Foundation Scholar. His writing has appeared in publications such as Natural Health, Utne Reader, American Health, and Integrative Cancer Therapies. Over the last several months, he has published a series of deeply researched papers analyzing the efficacy, safety, and long-term implications of the COVID-19 modified mRNA vaccines.
In this conversation, we unpack:
The tactics used to suppress alternative scientific viewpoints.
How widespread scientific illiteracy fueled confusion and misinformation.
Psychological control mechanisms amplified by AI and social media.
The challenges faced by independent researchers questioning dominant narratives.
To keep up with Mark online, connect with him on LinkedIn and X. He is also a McCullough Foundation Scholar at: @McCulloughFund
Episode also available on Apple Podcasts: http://apple.co/30PvU9C
🛍️ Recommended Books from this Episode:
The Real Anthony Fauci: Bill Gates, Big Pharma, and the Global War on Democracy and Public Health – A controversial and eye-opening examination of power, policy, and public health — a must-read for those who value independent thought. 👉 Get it here
📘 The Courage to Face COVID-19: Preventing Hospitalization and Death While Battling the Bio-Pharmaceutical Complex – A bold look into pandemic medicine, alternative treatment approaches, and the fight against medical censorship. 👉 Check it out
📙 Calling Bullshit: The Art of Skepticism in a Data-Driven World – A fantastic guide to spotting misinformation, flawed claims, and data manipulation — essential for modern critical thinking. 👉 Explore it here
📕 The Art of Statistics: How to Learn from Data – Learn how to understand and interpret data accurately with confidence — ideal for analysts, researchers, and curious thinkers. 👉 Discover it here
Note: These are affiliate links. If you make a purchase through them, we may earn a small commission at no extra cost to you. It helps support the podcast. Thank you!
4260 episodes