The study shows that by cherry-picking from the right states, from the right hospitals, and from the right patients, we can demonstrate whatever we want. The purpose of the study was to find subjects and data that would support the conclusion that was wanted. In other words, the first thing we did was to write the conclusion. Then we s…
The study shows that by cherry-picking from the right states, from the right hospitals, and from the right patients, we can demonstrate whatever we want. The purpose of the study was to find subjects and data that would support the conclusion that was wanted. In other words, the first thing we did was to write the conclusion. Then we selected the class of patients that we thought would best support this conclusion. We found just 6 hospitals that we believed would have the highest concentrations of this class of patients. When we collected data we found that, lo and behold, our patient selection methodoligy was pretty good, and did not contradict our predetermined conclusion.
Although we didn't mention it in the study, we also discovered in the data we collected that covid is what is causing obesity in children. Yes. Covid is the root cause of all obesity in U.S. children.
On a more serious note, there is a fact that is always overlooked in all these studies. The definition of "having covid" is based on an unreliable test that is impossible to validate, because nobody has ever isolated a sample of this so-called virus. Nobody has ever found it. Nobody has characterized it. Nobody has sequenced it from a real sample. Nobody has proved transmission of a single person to another person. In short, there is no evidence of the existence of covid.
Take 100 patients believed to be sick with covid. Take 100 patients believed to be healthy without covid. Do a double-blind "test" for covid on all these patients. Hand the test results to a covid "expert." Can he/she identify from the test results who are the sick ones?
Of course not. What does that tell you?
The dominant test kit today is the one from Abbott. To verify the reliability of the test they sampled just 500 patients all of whom were symptomatic with something...believed to probably be covid. Interesting that the ONLY people they "verified" the test with were people who were known to be sick. Then with an EUA issued, they release 100m test kits out to the terrified public so they can test themselves with these kits.
So what does it mean when a healthy person gets a positive result? Well, I dunno, because nobody ever checked. And if negative? Uhh, I dunno, because nobody ever checked. It just baffles me how seemingly intelligent people take this stuff seriously.
The study shows that by cherry-picking from the right states, from the right hospitals, and from the right patients, we can demonstrate whatever we want. The purpose of the study was to find subjects and data that would support the conclusion that was wanted. In other words, the first thing we did was to write the conclusion. Then we selected the class of patients that we thought would best support this conclusion. We found just 6 hospitals that we believed would have the highest concentrations of this class of patients. When we collected data we found that, lo and behold, our patient selection methodoligy was pretty good, and did not contradict our predetermined conclusion.
Although we didn't mention it in the study, we also discovered in the data we collected that covid is what is causing obesity in children. Yes. Covid is the root cause of all obesity in U.S. children.
On a more serious note, there is a fact that is always overlooked in all these studies. The definition of "having covid" is based on an unreliable test that is impossible to validate, because nobody has ever isolated a sample of this so-called virus. Nobody has ever found it. Nobody has characterized it. Nobody has sequenced it from a real sample. Nobody has proved transmission of a single person to another person. In short, there is no evidence of the existence of covid.
Take 100 patients believed to be sick with covid. Take 100 patients believed to be healthy without covid. Do a double-blind "test" for covid on all these patients. Hand the test results to a covid "expert." Can he/she identify from the test results who are the sick ones?
Of course not. What does that tell you?
The dominant test kit today is the one from Abbott. To verify the reliability of the test they sampled just 500 patients all of whom were symptomatic with something...believed to probably be covid. Interesting that the ONLY people they "verified" the test with were people who were known to be sick. Then with an EUA issued, they release 100m test kits out to the terrified public so they can test themselves with these kits.
So what does it mean when a healthy person gets a positive result? Well, I dunno, because nobody ever checked. And if negative? Uhh, I dunno, because nobody ever checked. It just baffles me how seemingly intelligent people take this stuff seriously.