The key to good health is making informed decisions. Whether we’re talking about nutrition, movement, supplements, or medication, it’s important that you have all of the information available so that you can make an educated decision. The problem is that all of the relevant data isn’t always easy to find. 

Reading research studies can be confusing unless you have an understanding of certain terms and equations. In fact, some studies are even purposely complex and misleading. On this episode of The Model Health Show, Dr. Ronald Brown is here to share his recent work on reporting bias in COVID-19 vaccine clinical trials. 

You’re going to learn about an important distinction between relative risk reduction and absolute risk reduction. Dr. Brown is sharing pertinent information about reporting data, clinical trials, and mRNA technology. I hope this episode gives you insight into clinical research and how it is presented to the public so that you can make more informed decisions about your health. Enjoy! 

In this episode you’ll discover:

• The difference between a healthcare system and our current sick care system.
• Why Dr. Brown chose to write a study on absolute risk reduction. 
• An important distinction between relative risk reduction and absolute risk reduction.
• What breakthrough infections are, and how they can affect reporting data. 
• How a randomized trial works, and why it’s the gold standard. 
• What the absolute risk reduction is in the two major COVID-19 vaccines.
• How to calculate relative risk reduction. 
• What you need to know about the participants in clinical trials. 
• Why an observational study cannot determine causality. 
• What the healthy vaccine bias is. 
• Which agencies are responsible for disseminating information to the public.
• How the case definitions have evolved over time.  
• Why mRNA technology is theoretical. 
• What the mucosal immune system is.
• The definition of nutritional immunology.
• Why we need to consider what’s causing coronavirus infections. 
• How mortality studies work, and why they aren’t dependable. 
• Statistics on comorbidities in the United States. 

Items mentioned in this episode include:

Organifi.com/Model  -- Use the coupon code MODEL for 20% off!

Ronald B. Brown, PhD. on Google Scholar 

Outcome Reporting Bias in COVID-19 Vaccine Clinical Trials

Mortality Overestimation

CDC report denoting that 95% of deaths involving Covid-19 had an average of 4 preexisting conditions and/or additional causes of death

Stress in primary care: Upwards of 80% of physicians visits may have a stress-related component

BMJ Editorial: Abnormalities in vaccine trials

CDC report denoting that 89.8% of all healthcare workers hospitalized with Covid-19 had at least one preexisting condition

* Download Transcript

Be sure you are subscribed to this podcast to automatically receive your episodes: 

• Apple Podcasts
• Stitcher
• Spotify
• Soundcloud

Join TMHS Facebook community - Model Nation