In a recently published scientific research paper, the authors analyzed the infection fatality rate of COVID-19 in the pre-vaccine era. Their findings were that the virus is even less deadly than we’ve been told up until this point.
The paper notes that “the largest burden of COVID-19 is carried by the elderly, and persons living in nursing homes are particularly vulnerable,” while pointing out that “94% of the global population is younger than 70 years and 86% is younger than 60 years.”
Their goal was to estimate how deadly the virus actually is for non-elderly individuals “in the absence of vaccination or prior infection.”
According to the paper, “the current analysis suggests a much lower pre-vaccination IFR in non-elderly populations than previously suggested.”
Their data showed that pre-vaccination numbers were:
0.0003% at 0–19 years
0.002% at 20–29 years
0.011% at 30–39 years
0.035% at 40–49 years
0.123% at 50–59 years
0.506% at 60–69 years
0.034% for all people aged 0–59 years
.095% for those aged 0–69 years.
These numbers are far lower than those previously offered by mainstream science who, back in 2020, used their false IFR data to forecast a “deadly global pandemic.”
Leftists in the scientific community and power-hungry politicians then used this narrative to force the masses into years long lockdowns and, later, experimental injections.
One scientific model which misled the public on the true dangers of the virus was that used by Neil Ferguson, PhD of Imperial College. The Imperial College models projected millions of deaths in the first year in the UK, if stringent lockdowns were not implemented. After they were put into effect, Ferguson and Imperial college then quickly took credit for the “success” of lockdowns.
Ferguson’s team at Imperial College in London has claimed credit for saving millions of lives through the lockdown policies that implemented his models. Other models and real world data have discredited Ferguson’s models, but the damage was done.
Ferguson has a history of being completely wrong with his forecasting models, making it even more bizarre that the world chose to buy into his projections so heavily.
Ferguson predicted that up to 150 million people could be killed from bird flu during the 2005 outbreak. This prediction was off by an incredible amount, with a grand total of 282 people dying worldwide from the disease between 2003 and 2009.
Again, in 2009, one of Ferguson’s models predicted 65,000 people could die from the Swine Flu outbreak in the UK — the final figure was below 500.
This modeling was what caused so many public health officials to panic, and create a world-wide panic of officials and the populace.