Antibody tests are proving that continuing lockdown is senseless, and that we are completely being lied to about the denominator (how many total cases there are), which inflates the death rate and scares people unnecessarily. Examples: COVID Monkey Study • Boston • China • Colorado • Diamond Princess • Germany • Iceland • L.A. • Massachusetts • Miami • Netherlands • NY • Santa Clara • Theodore Roosevelt • Washington •
COVID Studies : 15 items
COVID Monkey Study - 2020.04.17 SARS-CoV-2 study on rhesus macaques seems to show at least limited immunity.
COVID Study - Boston - 2020.04.15 CDC did a random sample of the Pine Street Inn homeless shelter in Boston (as the area had a cluster of cases). 397 people tested: 146 tested positive, all asymptomatic. 36% positive and 100% asymptomatic, of some generally unhealthy people, hints that this is NOT the killer that the media portrays.
COVID Study - China - Doctors did a model based on China total cases, hospitalizations and deaths, to calculate a 1.38% CFR (Case Fatality Rate / Death Rate), well below WHO/CDC's 3.4%. The biggest thing it showed is the age spread, that it was way more lethal to elderly than youth. A later antibody study (2020.04.18) showed that Wuhan had about a 2-3% infection rate -- extrapolated that's 330,000, which is a lot more than the 3,869 official cases reported by China (and it crashes their death rate).
COVID Study - Colorado - United Biomedical collaborating with the local Department of Health in San Miguel County, Colorado and tested all 8,000 residents - the preliminary results was that ≈3% of the population had been exposed, in one of the least densely packed counties in the nation. Projecting that out to the nation would imply 2.6 - 10M total cases, instead of the 418K that is reported (the reported numbers are off by 6-24x). This would push the CFR (Fatality Rate) down to 0.1-0.5% or 1/34th of the reported numbers.
COVID Study - Diamond Princess - One of the first pieces of data we had was on the cruise ship Diamond Princess (2020.02.01). 20% (712) of the people on board (3,711) caught COVID, and 14 died. Despite cruisers being way more elderly than average population, 18% were asymptomatic, and it had a 1.1% CFR (Case Fatality rate), not the 3.8% that China, WHO and CDC was telling people. 2 months later Fauci was still telling people the CFR was likely about 2%, when we knew it was half that for high-risk elderly people.
COVID Study - Germany - Germany did one of the widest random sampling (80% of the population of this town), in the hardest hit german area of Gangelt, and found that ≈15% of the population had been infected (far wider than expected), which mean that the case fatality rate was 0.37%. Lots of media reports this low death rate in Germany, while failing to note that's because they got a more accurate denominator (total case count).
COVID Study - Iceland - Iceland did the earliest and largest random sampling (36,000 sample size, ≈10% of their population) for antibodies, and found between 0.3%-0.8% contained the antibodies, >50% were asymptomatic, which is a 0.3% fatality.
COVID Study - L.A. - USC and LA County Department of Public Health did an antibody scan of L.A. (863 sample size), and found between 4.1% of 10.4 million people had been exposed (5 5times higher than expected). Which would mean 221,000 adults to 442,000 people in L.A. County have had it instead of the 7,994 reported. Against 600 deaths means an IFR (Death Rate) of 0.27% - 0.135% or similar to the seasonal Flu.
COVID Study - Massachusetts - In Chelsea, Massachusetts, they did a completely random sample study, and found 64 of 200 people (32%) tested positive for COVID antibodies. Now these were of people who were out and about. But none of them were counted in official cases, so we know that the denominator (cases) is understated, and thus the death rates are way overstated.
COVID Study - Miami - Miami-Dade County completed two rounds of random sampling (1,800 sample size) covering 32 municipalities / 2.75 million people for antibodies, and both surveys found between 4.4% and 7.9% contained the antibodies, >50% had no symptoms. Extrapolated: 123K - 221K cases in the county, and between 0.13% and 0.23% fatality rate (0.18 avg), in an area overwhelmingly populated by elderly residents.
COVID Study - NY - NY testing resulted in 24.7% of people in New York City had tested positive for coronavirus antibodies, 15.1% in Westchester/Rockland, 14.4% in Long Island, 3.2% in the rest of the state tested positive. 15% of pregnant Mom's admitted to two maternity wards in northern Manhattan in late March and early April were already infected with the new coronavirus and 86% were asymptomatic or mild symptoms.
COVID Study - Netherlands - The Dutch did an antibody study, as they'd been hit hard by the disease, and found that 3% of the population (518,400) had COVID, compared to the 38,802 offical number. Which dropped their CFR (Fatality Rate) down to 0.9%.
COVID Study - Santa Clara - Stanford did an antibody scan of Santa Clara (3,330 sample size), and found between 2.49%-4.16% of 1.9 million people had been exposed (or 50-80 times higher than expected). Which would mean 55,000-81,000 people in Santa Clara County have had it (instead of the 1,833 reported), against 69 deaths means an IFR (Death Rate) of 0.125%, or similar to the seasonal Flu. Because this didn't show what the Flu Klux Klan wanted wrt the Shutdown, they've attacked the authors and this study on technicaly, but ignore that there are a dozen other studies that showed similar results.
COVID Study - Theodore Roosevelt - We had an outbreak on an Aircraft Carrier (Theodore Roosevelt), and 20% (955 of 4,845 sailors) had antibodies: 50%+ were asymptomatic, 4 were hospitalized, 1 died.
COVID Study - Washington - 2020.04.15 Seattle/King County was doing a SCAN of the population, and despite being a hotspot initially, seemed to show only 0.24% had been exposed. But this outlier may be more a reflection on the quantity/quality of testing, either that, or their lockdown efforts were so effective that they successfully avoided getting any Herd Immunity.
All the random sample studies found COVID-19 antibodies in large undercounted swaths of the population. The denominator matters. A half dozen studies that shows COVID to be ≈30 times less lethal than the WHO and CDC are saying is problematic. Both have been slow at not correcting the misconceptions that they and the media put out.
At this point, it's not an accident. They are intentionally trying to terrorize people (inflate the death numbers and not correct them) because they think it gets more compliance using terror than using truth.
That's a problem: that's politics, not science. I have a problem with that. I think it is self-defeating. Each time their lie is getting exposed without them being honest and correcting their first unverified overstatements, they are feeding the anger, and eventual backlash that will happen over being lied to for so long. That comes with risks. If a second wave comes, or another pathogen, people are going to die, because they've been taught not to trust the CDC, WHO or Government and the media, by these lies of commission and omission.
The Coronavirus is named after the fact that under a microscope it looks like the surface of the sun, with lots of little protrusions and bumps. These are series of diseases, but the one everyone is talking about for now, is the Chinese (Wuhan COVID-19 for COrona VIrus Disease circa 2019, or SARS-CoV-2) that's going pandemic. While the CDC, WHO and FDA all blew their response, we've never seen a more effective response to a pandemic, and the U.S. outperformed most of the world in objective metrics. But as to be expected, partisan Democrats and their media never let an opportunity go to waste: to politicize, polarize, divide and undermine the American economy and people.
COVID Models were off by 4-10x or more, and we never neared capacity, even in the worst hit places. We had at least twice the ventilators per capita as Germany at the start and was surging manufacturing to have many times that in months. Oh, and ventilators turned out to be the worst way to treat it (with 80% dying anyways). As long as the economy was still alive and Trump might get re-elected, they are prepared to burn the whole economy down for their political ends: creating a dependency class of unemployed dependents is what they wanted all along. The most effective mitigation is the one that does the least harm, but keeps from destroying lives: the Swedish Model. The Shutdown does the most harm possible. Despite experts from top Universities saying End the Shutdown the anti-liberty left, doesn't care about the lives they're ruining.