Covidscience

University of Texas found the following:  The sensitivity of the RT-PCR diagnostic test was estimated to be 0.777 (95% CI: 0.715, 0.849), while the specificity was 0.988 (95% CI: 0.933, 1.000). The confidence intervals include sampling error in addition to the error due to probabilistic knowledge of the data    https://www.medrxiv.org/content/10.1101/2020.04.24.20078949v1.full.pdf So the false positive error could be as high as 5% If there is no virus at all, we would get 50000  Pr million rested.  The us has tested 40 million  If the specificity is 92% all of the tests could be  false positives.  Approximately 8000 people die in the us pr day. Covid 19 has been going on for about 130 days. During this time   1 040 000 Americans have died.  Since many have been coded as covid deaths if doctors have suspected covid, 92% specificity could explain the whole epidemic with false positive.   With labs being under pressure to perform, it i...

 Because PCR tests are run as cycles of doubling, letting it run for too many cycles will amplify insignificant traces of sars cov2 proteins 1000 times too much if we run 40 cycles instead of less than 30-35 recommended by scientist Juliet Morrison, a virologist at the University of California, “Any test with a cycle threshold above 35 is too sensitive”, she has stated. With this counting, we are approaching 200 deaths from Covid in the US. So where do all the other excess deaths come from? These could be results of lockdowns, e.g. not getting treatments in hospital for cancers heart attacks etc. I could also be from over treatment of anyone with a positive corona test, e.g. by intubating. Anyway, the deaths are in people at the average life expectancy or older, and may be “low hanging fruits”  left over from a very mild flu season. Many old people  may have died from neglect and have lost their will to live in the loneliness from lockdown.

Covid tests may be 1000 times too sensitive From an article in NYT: "The PCR test amplifies genetic matter from the virus in cycles; the fewer cycles required, the greater the amount of virus, or viral load, in the sample. The greater the viral load, the more likely the patient is to be contagious. This number of amplification cycles needed to find the virus, called the cycle threshold, is never included in the results sent to doctors and coronavirus patients, although it could tell them how infectious the patients are. In three sets of testing data that include cycle thresholds, compiled by officials in Massachusetts, New York and Nevada, up to 90 percent of people testing positive carried barely any virus, a review by The Times found. On Thursday, the United States recorded 45,604 new coronavirus cases, according to a database maintained by The Times. If the rates of contagiousness in Massachusetts and New York were to apply nationwide, then perhaps only 4,500 of ...

In principle when someone tests positive but have no symptoms it is a false positive test. What is the proof that the test means anything at all?  It just means that the person possibly has a certain RNA sequence in their body.  And that may not even be true. With a 97% specific test, almost all the test results in most countries are true false positives, that means that the Covid Rna wasn't really in the persons body, but rather e.g. contamination from the previous test.  With a 99.9 specific test and 0.01% infection in the population 14 of 15 positives are really false, there was no SARS COV2 virus in the person's body at all. 

Of all who test positive for Covid 19, 80% have no symptoms, but the ones who have symptoms may have them because of hundreds of different viruses or other diseases. Dry cough could be from smoking, allergy, all other corona viruses, all other corona viruses, all airway infections copd etc. Most communicable diseases have fever and fatigue as symptoms. So we have no idea if the symptoms stem from covid 19 or any other virus respiratory disease since we did not test for the others. Pneumonia is not a covid symptom, but still people who die with pneumonia are counted as covid 19 victims. Formally it is not correct to say that they died from covid, just with covid. Number of deaths for leading causes of death: * Heart disease: 647,457 * Cancer: 599,108 * Accidents (unintentional injuries): 169,936 * Chronic lower respiratory diseases: 160,201 * Stroke (cerebrovascular diseases): 146,383 * Alzheimer’s disease: 121,404 * Diabetes: 83,564 * Influenza and Pneumonia: 55,672 * Nephritis, nephro...

Why does covid hit the rich countries? Could it be that aggressive so-called heroic treatments actually make patients worse until they die.  Could it be that old people in rich countries are taking so many medications that one or two extra create dangerous deadly interactions.  Intubation seems to be one of these treatments that are lethal. And we have the possibility in rich countries to do this.