Stanford study points to far higher rate of COVID-19 infection

• The study of a random sampling of 3.3K living in Santa Clara County found those infected with coronavirus to be 2.49%-4.16% of the population. Extrapolated out, that would mean 48K-81K folks infected in Santa Clara, or a whopping 50x-85x more than officially confirmed cases.
• The public policy implications are enormous in that they would change by a mile the denominator when figuring out the fatality rate. The study authors figure the rate would be something closer to 0.12%-0.2%, or in the same area as normal flu levels.
• Some are questioning whether the sampling was truly random, but others note these numbers comport with other studies coming out of Europe. Coming soon are results from a study of all MLB employees - from the front offices to the players to the hot dog vendors.