Uncensored Comments Posted on Beacon Herald Article

The following are comments I posted in response
to an article on the website of The Beacon Herald
— a newspaper in my hometown of Stratford, Ontario —
and comments left by staff member Cory Smith.
— John C. A. Manley

The COVID-19 injection has around a 1% Absolute Reduction Ratio (according the Moderna and Pfizers own trial data), making it practically useless. Yet it has killed over 15,000 people according the CDC and European monitoring bodies. I already know of several teens ( https://tinyurl.com/dtcptxur) who have died from blood clots and heart attacks after getting the second shot (for a disease they are normally immune to). How is speaking out against such inconsistency “anti-science”?

Cory, you said that “covid can spread through the community through respiratory droplets very easily.” Sure, respiratory droplet can contain virus particles but the weight of evidence shows that using masks to prevent such droplets from flying through the air (and usually hitting the ground) has no detectable effect on the spread of infections. A CDC-funded review on masking in May 2020 came to the conclusion: “Although mechanistic studies support the potential effect of hand hygiene or face masks, evidence from 14 randomized controlled trials of these measures did not support a substantial effect on transmission of laboratory-confirmed influenza… None of the household studies reported a significant reduction in secondary laboratory-confirmed influenza virus infections in the face mask group.” (https://wwwnc.cdc.gov/eid/article/26/5/19-0994_article).

Cory, the article you refused to reference (because you claim it is on a conspiracy website) contained quotes and links to 14 sources I assume you’d consider “legitimate” which show that hospitals are regularly overrun with the flu. For example, on January 22, 2019, CBC News published a thorough article stating: “Overcrowding has become so common in Ontario hospitals that patient beds are now placed in hallways and conference rooms not only at times of peak demand, but routinely day after day… An exclusive analysis of the data by CBC News shows that hospital gridlock — a phenomenon that used to be restricted to surges in patients during flu season — is the new normal.” (https://www.cbc.ca/news/canada/toronto/ontario-hospital-hallway-medicine-healthcare-beyond-capacity-1.5420434) You can also just google “hospitals overrun with flu patients” for a decades of examples.

The statistics you provided are not adequate for calculating a death rate. You are referencing TOTAL deaths but only including DETECTED cases of SAR-COV-2 not ALL cases. It’s hard to miss a death, but impossible to test everyone. The case positive rate from the test group needs to be calculated and then applied to the entire population. Furthermore, deaths are admittedly over-reported. Ontario Public Health admits, for example, that “Deaths are included whether or not COVID-19 was determined to be a contributing or underlying cause of death…” (https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-daily-epi-summary-report.pdf?la=en). Many, if not the majority, of so called “COVID 19” deaths did not have pneumonia, which is always present during a fatal respiratory viral infection (hence why COVID was originally called “novel coronavirus-infected pneumonia (NCIP)”). Lastly, you are relying on PCR tests for you data, which are being used at unreported threshold cycles producing exaggerated results as stated by the New York Times (https://www.nytimes.com/2020/08/29/health/coronavirus-testing.html) and the WHO

For reliable results antibody testing extrapolated against the larger population is what places like Stanford University conducted — and arrived at 0.28% death rate (https://www.medrxiv.org/content/10.1101/2020.04.14.20062463v2.article-info). Likewise a study by Wake Forest Baptist Health found that between 12-14% of people tested in North Carolina already had antibodies for the coronavirus. When compared to the number of COVID deaths in North Carolina that would bring the death rate down to a low 0.1%. (https://www.wakehealth.edu/Coronavirus/COVID-19-Community-Research-Partnership/Updates-and-Data)

Lastly, I did not cite a source for the 3.4% death rate predicted by the Imperial College because I thought Ferguson’s blunder was such common knowledge. It was the big announcement in March 2020 by the WHO driving the lockdowns. You don’t have to go on “scavenger hunt”. Here are some “legitimate” sources for you:

https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19—3-march-2020

https://www.who.int/bulletin/online_first/BLT.20.265892.pdf

https://www.worldometers.info/coronavirus/coronavirus-death-rate/#who-03-03-20

https://www.sciencealert.com/covid-19-s-death-rate-is-higher-than-thought-but-it-should-drop

https://www.cnbc.com/2020/03/03/who-says-coronavirus-death-rate-is-3point4percent-globally-higher-than-previously-thought.html