“A single paragraph has been added to the CDC’s website page titled, U.S. Influenza Surveillance System: Purpose and Methods, stating that because of COVID-19, it will suspend data collection for regular influenza during the 2020-2021 flu season. Thus, it will be impossible to statistically analyze the relative differences between COVID and influenza. It will also likely result in reporting some cases of influenza as COVID, when they are not. Thus, all attention will be given to COVID, magnifying cases to fit the pandemic narrative.” – Patrick Wood

“I did a very thorough study of the scientific literature on masks, and I concentrated on, is there any evidence that masks can be of help in terms of reducing the risk of getting one of these viral respiratory diseases. And what I found is, when I looked at all the randomized controlled trials with verified outcome, meaning people actually measured whether or not the person was infected. I found that there were none of these well designed studies that were intended to remove any observational bias. Out of all the many trials that were done, none found that there was a statistically significant advantage for this application to wearing a mask versus not wearing a mask. And likewise there was no detectable difference between respirators and surgical masks. If there was any significant advantage to wearing a mask to reduce this risk, then you would have detected that in at least one of these trials. So that to me is a firm scientific conclusion. There is no evidence that masks are of any utility, either preventing the aerosol particles from coming out, or from going in. You are not helping the people around you by wearing a mask, and you’re not helping yourself, preventing the disease by wearing a mask. The science is unambiguous, in that such a positive effect can not be detected.

You have to look at deaths, you have to look at all-cause mortality deaths on a per week or per day basis, because that’s reliable. If you try to assign a cause of death in a complicated situation like this, with a viral respiratory infection that taxes your immune system, and you die if you have co-morbidity conditions. To try to unravel that, epidemiologists have known forever, since the discipline started, that you can’t reliably do that. And there is a tremendous source of bias, there always has been, in terms of assigning deaths in the middle of an epidemic. So you don’t do that, you look at all-cause mortality. What you find is that the winter burden deaths of all-causes is not any different statistically from the previous several decades. So this was not anything out of the ordinary in terms of the usual array of viruses that give us viral respiratory diseases.” – Denis Rancourt