People who think those who are against the lockdown are callous conservatives out to protect their financial interests by calling for the lockdown to end are completely missing the fact that there is evidence suggesting that the lockdown measures are actually costing and endangering lives.
I've already pointed out the evidence is EXACTLY the opposite. From the data I've seen literally every country that went into lockdown without a major COVID outbreak showed a drop in mortality, not an increase. And countries that went into lockdown during their outbreak fairly quickly showed their mortality rates drop too. So I'm really calling bullshyt here.
I don't know why you even mention who posted the video breh, seems entirely irrelevant and I generally don't consider those labels useful for a debate like this at all.
Because it's funny to me, you're posting an obvious piece of political propaganda spoken by a Republican politician and disseminated by a known propaganda source, and you think that is the best evidence for your position when the actual document itself is clearly out in public with hundreds of thousands of copies. So why not post the document, why post some local right-wing politician telling us how the document "made him feel" rather than telling us what it actually said? Because what it said was almost certainly innoculous and reasnable and right in line with normal mortality attribution.
What the longer video is about is one of the most cited scientists in history who is an expert in the field of epidemiology and evidence-based medicine, explaining that the model that the governments based their policy on is bs and that his study is one of the first methodologically sound ones to be carried out and it suggests that the corona outbreak has a fatality rate indeed comparable to a regular flu outbreak. There is a ton of evidence now showing that the entire response to the outbreak has been completely overblown and was based on false information.
A quick lookup gives the appearance that he is likely quite smart and also quite arrogant, and has made most of his reputation by constantly saying that the rest of his field is usually wrong about most eveything. His most famous paper is literally titled, "Why Most Published Research Findings are False". So he does have a pretty large contrarion bias.
Reading up on his study, it carries assumptions so large as to make the conclusions meaningless. I'd love if you could timestamp the video for me and address my following questions.
1. He seems to have based his findings on Santa Clara County, which only has 88 confirmed coronavirus deaths. However, the TOTAL death rate in Santa Clara County in March went up by 20%, indicating hundreds more extra deaths than previously known. In fact, doctors are already noting numerous patient deaths in retrospect which were likely caused by coronavirus in Santa Clara County in February and March before testing was widespread. In his calculations did Dr. John use just the low 88 confirmed deaths or the more likely estimates which will be several times higher?
Overall deaths in Santa Clara County were up 20% in March
2. Medical researchers have previously pointed out that viral disease severity is often a product of the initial infectious dose. People infected by large doses of the virus (such as contact with sick people in hospitals or in especially crowded settings or with long periods of contact, like workplaces, churches, clubs, etc.) often have more severe cases of the disease, while people infected by small doses of the virus (casual contact on the street, or at a distance, or from touching an infected object) often have far more mild cases. It has not yet been proven that this is true for COVID-19, but the high severity of cases among hospital workers and the fact that Spanish Flu, SARS, and MERS all appear to have behaved this way makes it likely.
What is viral load and why are so many health workers getting sick?
How 'viral load' and genetics could explain why young people have died from coronavirus
Influenza Infectious Dose May Explain the High Mortality of the Second and Third Wave of 1918–1919 Influenza Pandemic
So, when Dr. John calculates a death rate for Santa Clara County, does he take into account that social distancing and the lockdown may have significantly reduced the typical infectious dose experienced, and thus reduced the average severity of the disease dramatically compared to without a lockdown?
3. Does Dr. John address the 300% increase in death rates in NYC, totally unprecedented, and explain how that is possible if it is "no worse than a flu"? Does he address the spikes in TOTAL deaths among every European country that has been seriously affected and explain why those spikes never occured in previous flu seasons?
I would love answers to any of those three questions.
Finally, I read one of his early papers and came across this line:
One of the bottom lines is that we don’t know how long social distancing measures and lockdowns can be maintained without major consequences to the economy, society, and mental health. Unpredictable evolutions may ensue, including financial crisis, unrest, civil strife, war, and a meltdown of the social fabric.
That is just laughably alarmist. He seriously thinks that society is going to break down? Mental heath is going to degrade? We could face war and a meltdown of the social fabric?
He wrote all that on March 17, long before his studies had shown any results. It was part of a long article in which he criticized every model that had come out and every measure that had been taken to fight the disease. So it was quite clear that he already had a motive to tilt his interpretations of the data in a certain way long before he had any data to back up those interpretations.