Posted on 05/16/2020 1:31:39 PM PDT by CheshireTheCat
...Based on this serology test, they were able to determine that 3% of the population (at the time) were infected and were therefore able to divide the numerator of those who died of COVID-19 by the extrapolated denominator of those who were likely infected and break out the infection fatality rate by age group.
Study this chart for a few minutes and take in all the data – from the asymptomatic/mildly symptomatic rates to the hospital and fatality rates divided by age. You have to get to the 50-59 age group just to reach a 0.1% fatality rate, the level often cited as the overall death rate for the seasonal flu. Those are all lower odds than an individual has of dying in a giving year of any cause and in the case of an average 50-year-old, five times lower...
(Excerpt) Read more at conservativereview.com ...
See #20.
Typo, but my post is still correct.
I can see where he’s getting the 0.145% but he’s looking at finer granulated data than the 50-59 age cohort. I corrected that by adjusting the second chart’s data to show that actually both charts agreed within the norms of statistical error, when looking at the ten year age cohort. HE was impermissibly using a FIVE YEAR age cohort to criticize data which was apparently limited to ten year age cohort analysis. The second graph was used only as a data check on the first.
Corona...DONE!
This is Dr. Ferguson’s THIRD failed disease model. He estimated 150 million dead from bird flu. He predicted up to 50,000 dead from mad cow disease.
Professor Neil Ferguson, from the Department of Infectious Disease Epidemiology at Imperial College, said: “Our latest analysis shows that the current risk from sheep could be greater than that from cattle, due to the more intensive controls in place to protect human health from exposure to infected cattle, as compared with sheep.”
BSE-infected sheep a ‘greater risk’ to humans
https://www.theguardian.com/education/2002/jan/09/research.highereducation
Last month Neil Ferguson, a professor of mathematical biology at Imperial College London, told Guardian Unlimited that up to 200 million people could be killed.
https://www.theguardian.com/world/2005/sep/30/birdflu.jamessturcke
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