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COVID-19 Check-in

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Comments

  • Casanova_FlatulenceCasanova_Flatulence ✭✭✭✭✭ Graduate

    Uh, the numbers he uses come the CDC and Johns Hopkins. Apparently you missed the part about selective science. This is common sense, the numbers people should be paying attention to are the mortality rate (extremely low) and the rate of hospitalization (which measures severity and capacity). Yes, Covid is more deadly than the garden variety flu, but it's not even in the same league as the Spanish Flu.

    This is about a scalpel approach as opposed to a blanket approach. If you had read the entire article you would have picked up on that common sense, data supported concept. Moreover, if you look at Japan's approach, it supports the conclusions found in this report.

  • YaleDawgYaleDawg ✭✭✭✭✭ Graduate
    edited June 2020

    It includes people who get medical information from a company that "was formed to provide independent and strategic recommendations on interest rates."

    I have no issue with people that have different views as long as they can back them up. Feel free to point out any political bias you see.

    Edit: That Pensford article is full of sarcastic comments making fun of expert recommendations. Does that not show bias?

  • Casanova_FlatulenceCasanova_Flatulence ✭✭✭✭✭ Graduate

    I think hit on your first two sentences. Yes, it pertains to YaleDawg and yes it's a shot at people with a different point of view.

  • Casanova_FlatulenceCasanova_Flatulence ✭✭✭✭✭ Graduate

    That doesn't mean the data he gives is incorrect, just because he works for a company.

  • Casanova_FlatulenceCasanova_Flatulence ✭✭✭✭✭ Graduate
    edited June 2020

    Edit: That Pensford article is full of sarcastic comments making fun of expert recommendations. Does that not show bias?

    You mean expert recommendations like the one Fauci made regarding the efficacy of masks? How about those stellar mortality models from Neil Ferguson that the CDC and other organizations were using to rationalize declaring a state of emergency. Remind us agains about the science argument. Yes, I'm making sarcastic comments about those brain dead "expert" recommendations.

  • RxDawgRxDawg ✭✭✭✭✭ Graduate
    edited June 2020

    I just received this from an anonymous healthcare worker. Might help explain some of the "spike". This is also why I'm very cautious and even skeptical of some the doomsday stats being pushed out. Sadly, it's hard to trust anything anymore. And perhaps this is why someone's "facts" don't necessarily change minds...


    I wanted to share some insight into Covid numbers in Georgia many seem not to know. Pruitt Health which has a very large presence in nursing homes and rehab facilities in the state, is testing all of their patients every single week. Their patients who test positive for two, three or even four weeks are all being reported as positive cases multiple times. A single patient can be reported as a positive four or five times. There is a facility near my work which has far more reported cases than actual patients in the facility. This isn't the fault of Pruitt, but rather the reporting system for Georgia. Pruitt itself is reporting correct numbers via their website. It would be interesting to see if other facilities are doing similar reporting. The Pruitt companies alone could be accounting for hundreds of positive cases every week that are not new cases.

  • YaleDawgYaleDawg ✭✭✭✭✭ Graduate

    It's mostly his interpretations. He also calculates death percentages by calculating deaths per day/total population. Easiest way to spot someone who either doesn't know what they are talking about or has an ulterior motive is when they use a flawed calculation like that to produce a number that looks good but doesn't accurately reflect what's happening. He also cites a pre-print study about hospital stays from Singapore saying some non-vulnerable people only have to be hospitalized for 2 days while neglecting to mention the average stay was 9 days. Guess it must have slipped his mind to put the actual average in while only including outlier cases? Or maybe he was trying to hand wave away the 1.7% hospitalization rate for younger people? At one point he concedes there may be a delay between deaths and cases, but goes on to ignore that in the rest of the article.

    "And before Judge Hidalgo emails me accusing me of callousness, I would simply ask where that same level of concern has been for annual opioid deaths (42k). Suicides (49k). Auto fatalities (37k)."

    The ole "why don't you care about other people dying! COVID-19 must be a political tool!" strategy. I work on developing alternative pain therapies for opioids. There is a ton of money being put towards that. There are several suicide advocacy groups and the CDC even puts out policy proposals for addressing suicides. We have tons of traffic laws and we prosecute people who break those laws and hurt other people as a result. People care about those other things, but COVID-19 is just a much more immediate and pressing danger which causes more people to focus on it.

  • UgaXforPresidentUgaXforPresident ✭✭✭✭✭ Graduate

    @YaleDawg makes some fair points here. The author did show some bias in at least those few instances. I'm not being snarky, really asking: what would your reopening strategy and criteria be? How would you determine the success of that strategy and potential need to shut things down again?

  • YaleDawgYaleDawg ✭✭✭✭✭ Graduate

    Fauci has already explained his position on masks throughout the pandemic. You're going to have to link to Neil's mortality rate because I can't find a number for it.

  • GrayDawgGrayDawg ✭✭✭✭✭ Graduate

    I'm not standing up for the article. Your comment seemed more generalized than targeted at that article or the poster who linked it. That's why I was calling you out. There are a lot of us genuinely looking for good information and commentary on the status of the virus. There are some who have clearly made up their minds, on both sides, about a situation that is fluid and full of unknowns. Everyone has had their bias about this virus. Some have been better than others about looking beyond that bias and considering alternate viewpoints and inconvenient facts. I will discount any opinion that is spouted as fact. Especially those of scientists who like the camera. However, I am clearly more biased against the doomsdayers. I am not ashamed of my natural tendency toward optimism. As fool hardy as it can be, recognition of that bias is much more powerful than denial of it.

    You are very good at poking holes in arguments from the other side. Do you apply the same scrutiny to your arguments? It doesn't come across that way if you do.

  • Casanova_FlatulenceCasanova_Flatulence ✭✭✭✭✭ Graduate

    Fauci was scared there would be a run on masks leaving first responders without the proper tools. It makes sense, but don't LIE about it. Regarding Ferguson's model... Google and Yahoo search engines have taken it down, because it was so wrong and he became a controversial figure, because his Swine Flu models were also way off target.

    Yale, you're taking a micro analysis view, when you should be looking at the big picture. There are basic key measurements in any pandemic, including # of infections (measures how quickly it's spreading), recovery rate, mortality rate and those requiring hospitalization (determine hospital's ability to deal with the sick - do they have enough beds). If you're trying to understand how deadly a pandemic is and how policy should be considered and implemented then you have to look at the mortality rate. Policy was largely made by looking at the infection rate. The spread between the Covid infection rate and mortality rate is large, far bigger than the Spanish Flu.

    Again, as a percentage of the total population, both the infection and mortality rates are low. When you break it down demographically, it's even lower. This required a scalpel policy approach, not a BLANKET one. Outside of China, the Japanese initially were hit the hardest. They took a targeted approach to getting the infection rate under control and were very successful.

  • YaleDawgYaleDawg ✭✭✭✭✭ Graduate
    edited June 2020

    I try to hold myself to that same standard. For example, there was a large study (in a prestigious journal) that concluded giving COVID-19 patients HCQ had no benefit and actually increased risk of dying. I've been very vocal about being careful in pushing HCQ as a treatment, so this study supported my position and my initial bias. However, many scientists began pointing out problems with where their data came from. It was from some small company no one had heard of that just so happened to have the most comprehensive data set on COVID patients and treatment outcomes. That is odd. An independent audit was performed at the authors' request but the company refused to turn over the data. At this point I started disregarding the paper as evidence for my position against HCQ because I had no confidence in the data. The study ended up being retracted too.

  • Casanova_FlatulenceCasanova_Flatulence ✭✭✭✭✭ Graduate

    Ok, that's all well and good, but how does what you just said deal with the larger problem, which is perception versus reality? The perception is the Covid infection rate is still high and or spiking, therefore we must continue to keep the country in lockdown or close businesses that re-opened. The reality and true measure of the lethality of this pandemic is being ignored. The mortality rate is low, as is patients requiring hospitalization and ventilators. Those curves have flattened. So we find ourselves once again in a media driven goal post change. First it was flatten the curve, now it's no business shall open or no college football game should take place if a single risk of death persists... (slight exaggeration, but you get the point).

    Now, back to the data. Yes, we are seeing spikes, as the article I posted accurately shows. It also points out that nursing home patients are being tested every week, when they retest positive that's being counted as a net new infection, which leads to inaccurate data. Moreover, as more tests are available more people who are asymptomatic are testing positive. They're positive, but have no signs of the virus - in other words they're not sick. But again, look over here (high infection number), not over here low death rate.

    Bringing this around full circle to something relative to the purpose of this sport site. When people see the media saying Clemson has X number of Covid positive football players and Bama has Y and oh BTW, we've filed a Freedom Of Information petition to UGA, what people are not hearing is how many of those football players are asymptomatic, recovered, seriously ill etc. We're just given a total infection number. That is highly IRRESPONSIBLE reporting.

  • Denmen185Denmen185 ✭✭✭✭✭ Graduate

    Today marked the second day cases in Florida are lower than the peak days of 6/27 and 6/28 BUT

    It appears that cases are not declining as rapidly as testing capacity.

This discussion has been closed.