Bhakdi Audio Interview

https://thegarynullshow.podbean.com/e/the-gary-null-show-the-covid-19-pandemic-narrative-what-can-we-believe-100620/

Dr. Sucharit Bhakdi is an American born physician trained in Germany and has been in the medical field now for five decades. He received his medical degree from the University of Bonn and did his post-doctoral work at the prestigious Max Planck Institute of Immunobiology and Epigenetics before becoming an associate professor at the Institute of Medical Microbiology at Gressen University. Later he was appointed as the chair of Medical Microbiology at the University of Mainz. Dr. Bhakdi has published over 300 articles in the fields of immunology, bacteriology and virology and has received numerous awards including the Order of Merit of Rhineland. His recent book, co-written with his biologist wife Dr. Karina Reiss — “Corona False Alarm?: Facts and Figures,” was just released in the US four days ago. It has already become a national best seller in Germany and is rapidly receiving international attention.

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Editor comment: INTRIGUING INTERVIEW. Don’t miss it!

Escape from Lockdown

Click here for interview audio website:

https://www.buzzsprout.com/1013854/5745529-episode-21-dr-mike-yeadon

Podcast host Alex talks to Dr Mike Yeadon about the thinking which guides SAGE, the government’s scientific advisory body, and how it is fundamentally at odds with reality, resulting in more and more absurd diktats that will have zero effect on overall Covid morbidity, yet will hamstring society of years to come.
Dr Mike Yeadon is the former CSO and VP, Allergy and Respiratory Research Head with Pfizer Global R&D and co-Founder of Ziarco Pharma Ltd. He has appeared in various news outlets and has most recently been raising awareness of the issue of false positives in Covid PCR testing, including penning Lies, Damned Lies and Health Statistics for Lockdown Sceptics.

Lockdown Justification

World Health Organization’s special envoy on COVID-19, Dr. David Nabarro, urged world leaders this week to stop “using lockdowns as your primary control method.”

“The only time we believe a lockdown is justified is to buy you time to reorganise, regroup, rebalance your resources, protect your health workers who are exhausted, but by and large, we’d rather not do it.”

And

“Look what’s happened to smallholder farmers all over the world. … Look what’s happening to poverty levels. It seems that we may well have a doubling of world poverty by next year. We may well have at least a doubling of child malnutrition.”

https://www.msn.com/en-us/health/medical/who-official-urges-world-leaders-to-stop-using-lockdowns-as-primary-virus-control-method/ar-BB19TBUo

Stanford Professor Warns COVID Shelter-in-Place Orders Are ‘Killing People’

Infectious disease experts and epidemiologists from universities like Stanford, Yale, Harvard and Oxford say current shelter-in-place policies are not effectively protecting vulnerable people from COVID-19, while devastating public health in ways that will lead to irreparable harm for years to come.

Read the NBC article HERE:

https://www.google.com/amp/s/www.nbcbayarea.com/investigations/stanford-professor-warns-covid-shelter-in-place-orders-are-killing-people/2376796/%3famp?espv=1

THE GREAT BARRINGTON DECLARATION

October 4, 2020

https://gbdeclaration.org/

As [international] disease epidemiologists and public health scientists we have grave concerns about the damaging physical and mental health impacts of the prevailing COVID-19 policies, and recommend an approach we call Focused Protection.

Read the declaration & list of thousands of international signatours at the above link.

99% SURVIVAL RATE – CDC Updates Current COVID-19 Stats

The CDC recently published Covid-19 data indicating the USA’s AVERAGE SURVIVAL PERCENTAGE RATES.

Our age specific survival % rates are:

0-19 years old, 99.997 percent;

20-49 years old, 99.98 percent;

50-69 years, 99.5 percent;

70 years old or older, 94.6 percent

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It was difficult to find these figures directly in the CDC publication, this is how it was calculated:

Go to CDC DATA SOURCE

At the link scroll down to the scenario 5 table that I have pasted on the lower portion of this post.

On the table (see below) the age specific CDC’s updated Infection Fatality RATIOS are:

019 years old, 0.00003 ;

20-49 years old, 0.0002 ;

50-69 years, 0.005 ;

70 years old or older, 0.054

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CDC’s Infection Fatality PERCENTAGE Rate estimates are found by multiplying fatality ratios by 100 % :

0-19 years old, 0.003 percent ;

20-49 years old, 0.02 percent ;

50-69 years, 0.5 percent ;

70 years old or older, 5.4 percent

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* CDC’s Infection SURVIVAL Percentage Rates are found by subtracting fatality percentage from 100:

0-19 years old, 99.997 percent

20-49 years old, 99.98 percent

50-69 years, 99.5 percent

70 years old or older, 94.6 percent

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CDC DATA SOURCE

Sept 10, 2020

Scenario 5:

  • Parameter values for disease severity, viral transmissibility, and pre-symptomatic and asymptomatic disease transmission that represent the best estimate, based on the latest
  • surveillance data and scientific knowledge. Parameter values are based on data received by CDC through August 8, 2020.


† These estimates are based on age-specific estimates of infection fatality ratios from Hauser, A., Counotte, M.J., Margossian, C.C., Konstantinoudis, G., Low, N., Althaus, C.L. and Riou, J., 2020. Estimation of SARS-CoV-2 mortality during the early stages of an epidemic: a modeling study in Hubei, China, and six regions in Europe. PLoS medicine, 17(7), p.e1003189. Hauser et al. produced estimates of IFR for 10-year age bands from 0 to 80+ year old for 6 regions in Europe. Estimates exclude infection fatality ratios from Hubei, China, because we assumed infection and case ascertainment from the 6 European regions are more likely to reflect ascertainment in the U.S. To obtain the best estimate values, the point estimates of IFR by age were averaged to broader age groups for each of the 6 European regions using weights based on the age distribution of reported cases from COVID-19 Case Surveillance Public Use Data (https://data.cdc.gov/Case-Surveillance/COVID-19-Case-Surveillance-Public-Use-Data/vbim-akqf). The estimates for persons ≥70 years old presented here do not include persons ≥80 years old as IFR estimates from Hauser et al., assumed that 100% of infections among persons ≥80 years old were reported. The consolidated age estimates were then averaged across the 6 European regions. The lower bound estimate is the lowest, non-zero point estimate across the six regions, while the upper bound is the highest point estimate across the six regions.