It has been just revealed the fact that there is new analysis of studies in the Centers for Disease Control and Prevention’s (CDC) flagship scientific journal that managed to find the agency promoted the effectiveness of masks using unreliable data with conclusions unsupported by evidence. Check out more details about this below.
CDC promoted masking based on nothing
A preprint that was published on MedRxiv on July 11 has discovered that the Morbidity and Mortality Weekly Report (MMWR) by the CDC frequently reported positive results about the effectiveness of masks, even though only 30% of the studies conducted were on masks and less than 15% of them had statistically significant outcomes. None of the studies were randomized. However, the CDC made misleading statements in over half of their MMWR studies, implying a causal link between wearing masks and a reduction in COVID-19 cases or transmission, despite a lack of evidence supporting the effectiveness of masks.
The authors of a recent study raised concerns about the use of causal language in MMWR studies. They found that this language was used to promote the use of masks and other recommendations. The study suggests that this bias within the journal could impact its reliability in informing health policy. Additionally, the study mentions that CDC director Dr. Rochelle Walensky directly adopted this language in her messaging to the public.
The MMWR, often called “the voice of the CDC,” is the agency’s primary vehicle for “scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations.”
The agency’s internal peer review process is used to draft national health policies, and the publication is subject to it. For instance, during the COVID-19 pandemic, mask requirements for federal workers, travelers, schools, businesses, healthcare workers, and Head Start programs followed CDC recommendations.
We suggest that you check out more data about the issue in the original piece published by The Epoch Times.
