How media sensationalism, Big Tech bias extended lockdown
Epidemiologists created faulty lockdown models. The media promoted fear. Politicians assumed worst-case scenarios, and big tech suppressed dissenting views. This is how people’s fears grew disproportional to reality and how seemingly short-term lockdowns stretched into months.
As of May 20 the CDC estimates that coronavirus has an overall infection fatality rate of 0.26%. The CDC further estimates that people under age 50 have a 99.97% survival rate.
COVID-19 hospitalizations dropped 38% within three weeks of reopening in Georgia. Some schools in Montana and Idaho have been reopened for weeks with no drama. Wisconsin had all of its lockdown restrictions struck down by the state Supreme Court on May 13 and 10 days later hospitals there were treating around 400 known COVID-19 patients across the entire state of 5.8 million people.
New York City has had fewer than 100 total deaths from COVID-19 cases without preexisting conditions.
If any of this sounds surprising, you’re not alone, and it’s probably a result of the reporting bias most of the media has adopted during this pandemic. I understand the media needs to create sensation for more clicks and advertising money, but some outlets have displayed such an imbalance in reporting that they can no longer be taken as an impartial source of information.