New Yorkers

Everyone I know that is from New York views rules as something to dodge, or something that doesn’t apply to them. The guy that I posted about here fled New York yesterday because two of his friends died of COVID. He is staying in Tampa and has plans to go deep sea fishing. My in laws are hanging out at a bar that is only open to a small, select group of regulars. They refuse to abide by any sort of social distancing.
Honestly, if any of them catch COVID I will not feel sorry for them.

Not working

The US spends $2.6 billion a year trying to find a cure for AIDS and the virus that causes it: HIV. The disease is still endemic to (mostly) the gay population.

The US just shut down the entire nation, and just allocated more than $2 trillion to fight the Wuhan virus. That effort isn’t working either. Why not?

The same reason: you can’t get people to stop the risky behaviors that allow the virus to proliferate.

Wokeness

I don’t really watch TV, but my wife does. One of the things that the quarantine has done is caused me to watch a few of the shows that pass for television nowadays. The shows are the most obvious, Orwellian pieces of propaganda you can imagine.

Every protagonist male is gay.
Half of the protagonist females are gay. The other half all claim to be victims of rape or discrimination.
Every important person (surgeon, CEO, important political figure) is a minority.
The villains are always white males that are portrayed as abusive, rapist, racist misogynists.
Every show has at least one black character who was pulled over by the cops because he was black.

The propaganda is extremely heavy handed.

I just can’t/

Cell mobility

By measuring people’s movement using cell phone data, companies can tell whether or not people are staying home. What is interesting here is that the counties in Florida that are staying home are also the ones with the highest number of infections. This seems to support my theory that the quarantine isn’t working. I would love to see a statistical analysis of the data to see if there is a correlation between illness rates and travel.