© AP Photo/Alex Brandon
Obviously, no amount of evidence, data, trends, facts, studies, or science will ever convince most 'public health officials' that
masks aren't doing squat to stop the spread of COVID-19. Cases and deaths continue to spike (yes, many of these are super-sensitive PCR test-driven numbers, but still)
despite the fact that well over 90% of the country are complying with their absurd mandates. Yet, predictably, the virus keeps going right on virusing, as highly contagious respiratory viruses, unfortunately, tend to do, especially once cold weather hits.
Nevertheless, those of us who are mask skeptics have a
difficult chore in front of us. Given that most of the country is under a mask mandate of some form or another, we can point to spikes all day AFTER these mandates were put in place only to have our opponents simply say, "Look how bad it would have been WITHOUT masks!"
It's a tough argument to counter given the fact that our overlords have sold masking as a low-cost, easy "solution" that's totally worth it even if they "save one life," or something (nevermind the health risks - let's
censor docs who talk about those!). So, how DO we prove that things wouldn't have been worse without masks? One way is to look at data from the few free states remaining.
In Florida, for example, most counties have so far bravely refused to implement mask mandates while others, usually in high population centers, have done so. Justin Hart and the team at
Rational Ground (follow them on Twitter
here - it's worth it) just released a comprehensive data analysis of masked vs non-masked counties in the state.
A total of 22 of 67 counties in the state have implemented a mask order at some point during the period of May 1 through December 15. It may not sound like many, but these include almost all of Florida's largest metro areas. To be more than fair, if an area added a mask order at some point during the outbreak, the study's authors gave a 14 day period to allow time for cases to begin subsiding. "Cases were summed for both mandate and non-mandate jurisdictions and adjusted per 100,000 people for days the mandates were or were not in effect," wrote the authors, describing the methodology used.
Comment: Here's Hart's Twitter thread laying out the findings: