Prevalence

[TeeJay]

In Ontario, they have gone from 17,605 people tested on Sept. 9th to December when the daily number of tests have grown exponentially to over 68,000 per day.
Increasing the sample size only further validated that the portion of the population affected has NOT changed.
...and at a great expense!


COVID-19 and Prevalence Made Easy:

If I told you that there were 10,000 people in one town - and that I gave only 10% of them $1, and...
- If you asked 10 and only 1 said "yes" - you would rightly be skeptical.
- If you asked 100 and 10 said "yes" - you would likely admit that the 10% was starting to look more plausible.
- If you asked 1000 and and 100 said "yes" - you would probably be more convinced.
- If you asked all 10,000 and exactly 1000 said "yes" - you would have confirmation.

By increasing the sample size, you only confirmed the % of people who had the $1 (prevalence) - it did NOT increase the number of people with $1.
That is how prevalence works!

If the sample size (tests) increases and there is no statistically significant increase in the % - then increasing the sample size only confirmed the prevalence - it did NOT increase the number of people affected.

 

[SchlongConery]

For the sake of Humanity, man.... go down to Queens Park or the St MIchaels Infectious Disease team and share your analysis!

 

[Dcoat]

For the sake of Humanity, man.... go down to Queens Park or the St MIchaels Infectious Disease team and share your analysis!

the problem isn't that the hospitals aren't aware of the stats.

The problem is that politicians behave as though they aren't.

 

[benstt]

In Ontario, they have gone from 17,605 people tested on Sept. 9th to December when the daily number of tests have grown exponentially to over 68,000 per day.
Increasing the sample size only further validated that the portion of the population affected has NOT changed.
...and at a great expense!

Random sampling is required in order to make valid inferences about prevalence in a population from a sample. The COVID tests are not random.

 

[shack]

In Ontario, they have gone from 17,605 people tested on Sept. 9th to December when the daily number of tests have grown exponentially to over 68,000 per day.
Increasing the sample size only further validated that the portion of the population affected has NOT changed.
...and at a great expense!

You are missing the point. Learning what the prevalence is but one of many benefits derived from testing.

As far as costs, how much does it cost to treat each patient that gets hospitalized? This is a patient who would not have to be treated at all if/when someone who tests positive then goes home and isolates/quarantines instead of infecting that patient and others.

This is as stupid as the person who was concerned about the garbage/waste created by people wearing masks and then disposing of them compared to how much waste is created when a person needs to be treated in a hospital.

This is as stupid as saving money by never changing the oil in your car.

This is as stupid as the arguments put forth by Sydney Powell.

You are the loudest whiner here.