Like the Global Warming Hoax (aka Climate Change), the assessment of the recent COVID-19 pandemic is largely guided by state of the art computer modelling. Unfortunately, this computer modeling turns out to be highly unreliable when it comes to complex phenomena like climate or pandemics! Unreliable weather forecasting more than 24 hours ahead is another prominent example! Not to mention the biases, human weaknesses (e.g. preference for worst case), and perverse incentives (e.g. more shock, more money) of those involved and driving the modeling!
The article below also points out that the way recent deaths are coded for recording may also be deeply flawed.
" ... In response to the coronavirus pandemic, the federal government has been heavily influenced by the Institute of Health Metrics and Evaluation’s computer model, which has projected from 60,000 to 240,000 COVID-19 deaths in the U.S.
This epidemiological model is now being criticized as flawed and misleading as a source of public information and for government decision-making. ... "
Flawed Models Are Why COVID-19 Policies Must Consider Total Mortality
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