Covid19 related Hypotheses, Theories, and Laws

Generally speaking.....

When scientists investigate a hypothesis, they follow a line of reasoning, and eventually formulate a theory.

Once a theory has been tested thoroughly, and is accepted, it becomes a scientific law.

———————————

Fact; Nationally, from May 23rd to June 15th, Covid19 related hospitalizations decreased by 38%.

Fact; Nationally, from June 15th to July 5th, Covid19 related hospitalizations increased by 40%.

Number of Covid19 related hospitalizations;

May 23rd; 38,175
Jun 15th; 27,778
Jul 5th; 38,738

Source; covidtracking.com

————————————

Question; From Jun 15th to Jul 5th, what factor(s) increased Covid19 related hospitalizations by 40%?

Please hypothesize and theorize.

Example of a proven theory; What goes up, must come down.

Example of a ridiculous theory; The number of Covid19 cases is directly proportional to the amount of tests done.

 

Could a factor in the increased rate of hospitalizations be influenced by the financial incentives for the hospitals?

Could those incentives be a part of CARES Act?

https://www.congress.gov/bill/116th-congress/house-bill/748/all-info

If the CARES Act was begun in January 2019 as this document claims, could it be that somebody in Congress saw it coming a year before?

If the herd is 300 million people, and for the first 3 months of the epidemic the testing was at a relatively low rate with low quality tests, and then for the second 3 months the number of tests being conducted was doubled or trebled, would that effect the positive rate, and if so, how?

 

In reference to your “financial incentives” hypothesis, WHAT IF a majority have already been Covid19 stamped/tested positive PRIOR to being hospitalized?

 

Financial incentives are reality, not hypothesis. What role they play in false reporting is likely very significant.

As to your "what if" question, could you expand a bit please?

One is either infected or not infected. Present tense and past tense..

Here is a story I just learned this morning from a friend who saw it on FaceBook, which I do not visit. That makes it anecdotal, but what if it is true and accurate? If it is true, it fits in with all the other facts and evidence showing the books are cooked in a very big way.

In her town here in FL, 2 people waited in their car in line for a drive through nasal swab test. Waited and waited. Did fill out paperwork, whether on line or in person I do not know. They waited in line for a few hours and then grew tired and left the line before getting tested. About a week later they each get letters from testing lab saying they had tested positive, even though they had never been actually tested.

If true, it is consistent with the absurd numbers coming from FL, and really makes you wonder about padding the numbers. Somehow the system is rigged.