Don't blame the police for enforcing the law. Blame the legislators for legislating the law. Or in this case, not even bothering to legislate anything, just making people lock down.
California now has the worst COVID-19 spread in US
- Thread starter wildchild
- Start date
Don't blame the police for enforcing the law. Blame the legislators for legislating the law. Or in this case, not even bothering to legislate anything, just making people lock down.
Yeah, let us start with Gavin Newsom and Nancy Pelosi. Newsom without a mask attended a birthday party for a lobbyists at a $1,200 a plate dinner. Pelosi without a mask had her hair done at a hair salon whose business folded and hairdressers lost their jobs. Sheila Kuehl voted for a ban on dining in restaurants yet, was photographed dining inside a restaurant? Yeah, nothing to see here but, extreme liberal idiots at their hypocritical best. "Do as I say, not as I do." You do know the drill since, you extreme liberals are engaged in BS all your lives.
Yes.... these politicians and others are part of the problem. They are supposed to be leaders setting the correct example.... instead they ignore public health measures put in place to control the pandemic.
What you really should do is a comparative analysis of states with varying degrees of mitigation then track business closure and unemployment rates and see what conclusions you can draw from that. I’d suggest a starting point of Q3 2019 as a baseline.
Exactly.... Notice that countries that properly and quickly addressed COVID-19 have the best economic performance in 2020. Even as a second wave is occurring.
It’s hard to gauge country to country because a government’s response and safety net has a lot to do with economic performance during these times.
So we can hear you and your ilk say that mitigation efforts weren't followed, and that is why the data doesn't support your narrative? Isn't that what you've been saying all along?
Where? You mean the minor uptick in excess deaths? You should stop making a living because you might get the sniffles. You aren’t essential.
Purposefully thick.
The virus isn’t the problem.
The government response to the virus is the problem.
Do the math! 'Died with COVID-19' means 'died from COVID-19'
https://www.washingtontimes.com/news/2020/dec/27/do-the-math-died-with-covid-19-means-died-from-cov/
Some people think that the number of COVID-19 deaths has been greatly exaggerated by the mistaken inclusion of people who died from other causes, while coincidentally infected by COVID. They’re wrong.
It is true that some people “with COVID-19” (who test positive), die from other causes, and some of those deaths could be mistakenly attributed to COVID-19. But it is simple to prove, with a bit of arithmetic, that such cases are a small percentage of the total reported COVID-19 deaths.
In normal times, the U.S. records an average of about 230,000 deaths per month, from a population of about 332 million. 230K/332M = 0.07% of the nation’s population. In other words, an average U.S. resident already has about a 0.07% chance of dying within the next month, without a COVID-19 diagnosis.
Let’s calculate that. Here are the latest U.S. figures (as of Dec. 23): 18,687,330 known cases, 330,841 deaths and 10,948,136 recoveries.
So the number of deaths as a percentage of known resolved cases (Case Fatality Rate, or “CFR”) is 330,841 / (10,948,136 + 330,841 deaths) = 2.9%.
(Aside: It is likely that as many as half of all recoveries were mild cases which went undetected, so the true infection fatality rate [“IFR”] might be as little as half the calculated CFR, i.e., it might be as low as 1.5%. But that does not affect these calculations, and it is still more than 10 times as deadly as typical seasonal flu.)
Another way to estimate the CFR is just from recent cases, by comparing the average daily death rate (2736 per day, calculated over the week of Dec. 15-21) to the average daily number of new known cases (212,990 per day calculated over the preceding one to two weeks). 2736 / 212,990 = 1.3%. (The good news is that the CFR is declining, but the bad news is that it’s still much worse than typical seasonal flu.)
About 88% of COVID-19 deaths occur within 28 days of diagnosis. So, multiplying the CFR by 0.88 yields the percentage of people who have a positive Covid diagnosis, who can be expected to die from COVID-19 within the next 28 days: That’s 2.6% averaged over the entire epidemic, or 1.1% averaged over a single recent week.
Dividing 0.07% by 1.1% = 6.4%. In other words, if you have a positive COVID-19 diagnosis, you’re 16 times more likely to die from COVID-19 in the next month than to die from something else.
Most coroners and medical examiners are competent, and so official causes of death are correct more often than not. But even if every case in which someone “with COVID-19” who died from a different cause were misattributed to COVID-19, it still would have only a small effect on the COVID-19 death statistics.
So, if someone tells you that the number of reported COVID-19 deaths is greatly exaggerated, due to misattributions of people who test positive for COVID-19, but who actually died from a different cause, they are wrong. They need to “do the math!”