The media has created a fervour over the mathematical models that allegedly help governments predict the future of Coronavirus infections in the general population. Mathematical modelling has limited use and value. We need to understand is that the data available on Coronavirus (COVID-19) infections in Canada is far too small for statistical reliability. The data available for the whole world is useless due to variables in how nations responded to Coronavirus infections. There is no commonality in steps taken to combat virus spread and no similarity in the age demographics of world nations, so the numbers you see on the daily tracking of world infections are not useful in developing a model of infection rates that can be relied on. Mathematical models of the future spread of Coronavirus are better than nothing, but not a whole lot better. Mathematical models must include assumptions on virus spreads, and various factors involved. As they are used in projections, a small ...
A discussion on political, economic and social issues in British Columbia, and Canada