squatting dog
Remember when... thirty seemed so old.
- Location
- Arkansas, and also Florida
So, after tracking CDC data for at-least 3 month, and I realized The NY Times is mis-representing the virus death curve. I’ve had suspicions for a while, but, on June 25th, when New Jersey reclassified 1877 previous deaths as covid-19 deaths, the NY Times reported them as June 25th deaths. What the NY Times was not reporting was the time of death, only the determination determination that death was caused by Covid-19. (pretty clever and sneaky on their part).
Why is this important? Because,
One... according to the Times, The death curve hasn't flattened, So, Flattening the curve was a complete failure.
Two... People actually are no longer dying by the thousands every week from the virus, but, NY Times reporting makes it look so, (by saying 1877 new deaths on June 25th) causing super distress and fear to the public.
Three... Politicians react to the NY Times reporting and justify bad policy, and if that isn't bad enough, now, research groups are using the same method and coming to the wrong conclusion.
For example, USA Today reported on a research group that used a computer model to calculate the estimated number of covid deaths, and by ignoring the fact that the NY Times was not reporting time of death (it took me a while to realize this too), so therefore, neither did they , that model concluded that an extra 50,000 or so people had died from the virus. They are comparing dissimilar data and drawing bad conclusions.
You can expect the media to run with this and continue their reign of "sky is falling" reporting.
Why is this important? Because,
One... according to the Times, The death curve hasn't flattened, So, Flattening the curve was a complete failure.
Two... People actually are no longer dying by the thousands every week from the virus, but, NY Times reporting makes it look so, (by saying 1877 new deaths on June 25th) causing super distress and fear to the public.
Three... Politicians react to the NY Times reporting and justify bad policy, and if that isn't bad enough, now, research groups are using the same method and coming to the wrong conclusion.
For example, USA Today reported on a research group that used a computer model to calculate the estimated number of covid deaths, and by ignoring the fact that the NY Times was not reporting time of death (it took me a while to realize this too), so therefore, neither did they , that model concluded that an extra 50,000 or so people had died from the virus. They are comparing dissimilar data and drawing bad conclusions.
You can expect the media to run with this and continue their reign of "sky is falling" reporting.
