Johns Hopkins Article Questioning COVID Numbers Deleted!

Johns Hopkins published this study on November 22nd which posits that COVID-19 is nowhere near the disaster we're being told it is. The original article is now deleted from the Johns Hopkins website. Luckily the internet is forever and it's available via the Wayback Machine. Here is the article in its entirety: https://notthebee.com/article/a-few-days-ago-johns-hopkins-published-a-study-saying-corona-is-nbd-they-then-deleted-it-read-it-here-in-its-entirety.

We recently learned that 94% of COVID-19 deaths had underlying medical conditions: https://www.msn.com/en-us/health/medical/cdc-94percent-of-covid-19-deaths-had-underlying-medical-conditions/ar-BB18wrA7

This makes sense given the $13,000 incentive to write COVID-19 on the death certificate -- not even needing a positive test to do so: https://www.dailywire.com/news/yes-hospitals-get-paid-more-for-coronavirus-coded-patients-even-if-they-havent-been-tested

We also know that influenza and pneumonia have been lumped into the COVID-19 total this year, as seen on the CDC's website: https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm#Comorbidities

Nobel Winner Michael Levitt was cancelled for Coronavirus Wrongthink - https://www.breitbart.com/politics/2020/10/20/delingpole-nobel-winner-michael-levitt-cancelled-for-coronavirus-wrongthink/

Levitt’s position throughout has been that COVID will follow the same course as other flu-like pandemics:

His observation is a simple one: that in outbreak after outbreak of this disease, a similar mathematical pattern is observable regardless of government interventions. After around a two week exponential growth of cases (and, subsequently, deaths) some kind of break kicks in, and growth starts slowing down. The curve quickly becomes “sub-exponential”.

This may seem like a technical distinction, but its implications are profound. The ‘unmitigated’ scenarios modelled by (among others) Imperial College, and which tilted governments across the world into drastic action, relied on a presumption of continued exponential growth — that with a consistent R number of significantly above 1 and a consistent death rate, very quickly the majority of the population would be infected and huge numbers of deaths would be recorded. But Professor Levitt’s point is that that hasn’t actually happened anywhere, even in countries that have been relatively lax in their responses.