Official Covid-19 Discussion Thread

[dohboy_24]

Simple comparison... Ontario 26000 tests, 180 positive, Florida 30000 tests 3000 positive . It doesn't take a rocket scientist to see that Ontaroi is in much better shape at a 0.7 percent positve rate vs 10%.

What about the underlying distribution of the data and not just the raw numbers?

What if the age of the patient for 25% of the Ontario tests was 60+ years old and the age of the patient for 75% of the Florida tests was 60+ years old?

What if the percentage of the total population in Ontario aged 60+ years is 40% and the percentage of the total population in Florida within that same age bracket is 60% in comparison?

Would that still make for a simple comparison or would the unequal age distribution among those patients being tested when compared to each other and the underlying distribution of ages within their province/state have an effect on the outcome?

As far as the underlying data is concerned, there are 2 factors that can be controlled to manipulate the number of new cases and positive test rate among those being tested.

#1 - The number of tests administered.

In this case, given a fixed positive test rate, as the number of tests increases, so too does the number of positive tests.

Just the same as the number of times you roll a 7 increases as you attempt more rolls of the dice, the number of positive tests increases as more and more tests are administered.

Even if the probability of the expected outcomes are exactly the same as they are with a coin flip, the raw number of heads/tails increases along with the number of attempts since one can't happen without the other - can't flip tails/heads without flipping the coin.

Same with the relationship between tests and positive tests.

A patient cannot test positive without first being tested. As more people are tested, the number of positive test cases will increase in correlation with the number of tests by a factor defined by the positive test rate.

The number of positive test cases increases at 1/10 the rate of the number of tests when the positive test rate is 10%. Just the same, the number of positive test cases increases at 1/20 the rate of the number of tests when the positive test rate is 5% instead.

If positive test rate = 5% and # of tests = 100, the raw number of positive tests is 5 patients, but if the # of tests were to increase to 500, the raw number of positive tests would increase to 25 since 5 times as many people were tested, not because the virus become 5 times more deadly compared to the period you're comparing it against.

#2 - The underlying distribution of data.

In this case, given a consistent number of daily tests (i.e. 1,000 per day), as the age of the patient increases, so too does the positive test rate.

If you were to roll a set of dice 1,000 times, would you expect to roll a 2 as often as a 7?

FYI... here are the two dice probabilities for all possible comes using a pair of 6-sided dice.

2 = 1/36 (2.778%)
3 = 2/36 (5.556%)
4 = 3/36 (8.333%)
5 = 4/36 (11.111%)
6 = 5/36 (13.889%)
7 = 6/36 (16.667%)
8 = 5/36 (13.889%)
9 = 4/36 (11.111%)
10 = 3/36 (8.333%)
11 = 2/36 (5.556%)
12 = 1/36 (2.778%)

What if you only recorded the outcomes of every 3rd roll instead of every single outcome? What if half of the rolls were made with a single dice instead of two? What if one of the dice was weighed or changed in some other way that would affect the expected outcomes?

Would you still expect the raw numbers from those 1,000 dice rolls to approximate these expected probabilities or would they be different because the underlying conditions of your test vs. reality are different?

Based on the data collected from previous periods of testing, what happens when the positive test rate for aged 60 or younger = 5%, the positive test rate for aged 60 or older = 10%, and the distribution of tests administered to people within those groups ranges from 25% to 75% depending on these 3 scenarios?

SCENARIO #1: 50/50 split between both age groups

500 people aged 60 or younger tested + 500 people aged 60+ or older tested

500 x 5% = 25 positive tests
500 x 10% = 50 positive tests

1,000 tests with 75 positive tests = 7.5% positive test rate

SCENARIO #2: 25/75 split between both age groups

250 people aged 60 or younger tested + 750 people aged 60+ or older tested

250 x 5% = 12.5 positive tests = 13 positive tests
750 x 10% = 75 positive tests

1,000 tests with 88 positive tests = 8.8% positive test rate

SCENARIO #3: 75/25 split between both age groups

750 people aged 60 or younger tested + 250 people aged 60+ or older tested

750 x 5% = 37.5 positive tests = 38 positive tests
250 x 10% = 25 positive tests

1,000 tests with 63 positive tests = 6.3% positive test rate

Scenario #1 vs Scenario #2 = The positive test rate increased by 1.3%. The media, health officials and government report things are getting worse.

Scenario #3 vs Scenario #1 = The positive test rate increased by 1.2%. The media, health officials and government report things are getting worse.

Scenario #3 vs Scenario #2 = The positive test rate increased by 2.5%. The media, health officials and government report things are getting much worse.

Scenario #1 vs Scenario #3 = The positive test rate decreased by 1.2%. The media, health officials and government report things are getting better.

Scenario #2 vs Scenario #1 = The positive test rate decreased by 1.3%. The media, health officials and government report things are getting better.

Scenario #2 vs Scenario #3 = The positive test rate decreased by 2.5%. The media, health officials and government report things are getting much better.

Same raw number of tests. Different results and conclusions dependent upon the distribution of the underlying data and distribution of the underlying data for the proceeding period.

Do you see how easily the numbers can be manipulated?

If 1,000 tests are administered under all 3 scenarios, why are the number of new cases and positive test rate among each set of sample tests so different for each?

While Ontario and Florida might have similar numbers of tests being administered, there are many other underlying factors that can contribute to the number of new cases, positive test rate, and other experienced outcomes.

So much so that you don't have to be a rocket scientist to see it should you take a moment to try.

[Zeno]

Simple comparison... Ontario 26000 tests, 180 positive, Florida 30000 tests 3000 positive . It doesn't take a rocket scientist to see that Ontaroi is in much better shape at a 0.7 percent positve rate vs 10%.

What about the underlying distribution of the data and not just the raw numbers?

What if the age of the patient for 25% of the Ontario tests was 60+ years old and the age of the patient for 75% of the Florida tests was 60+ years old?

What if the percentage of the total population in Ontario aged 60+ years is 40% and the percentage of the total population in Florida within that same age bracket is 60% in comparison?

Would that still make for a simple comparison or would the unequal age distribution among those patients being tested when compared to each other and the underlying distribution of ages within their province/state have an effect on the outcome?

As far as the underlying data is concerned, there are 2 factors that can be controlled to manipulate the number of new cases and positive test rate among those being tested.

#1 - The number of tests administered.

In this case, given a fixed positive test rate, as the number of tests increases, so too does the number of positive tests.

Just the same as the number of times you roll a 7 increases as you attempt more rolls of the dice, the number of positive tests increases as more and more tests are administered.

Even if the probability of the expected outcomes are exactly the same as they are with a coin flip, the raw number of heads/tails increases along with the number of attempts since one can't happen without the other - can't flip tails/heads without flipping the coin.

Same with the relationship between tests and positive tests.

A patient cannot test positive without first being tested. As more people are tested, the number of positive test cases will increase in correlation with the number of tests by a factor defined by the positive test rate.

The number of positive test cases increases at 1/10 the rate of the number of tests when the positive test rate is 10%. Just the same, the number of positive test cases increases at 1/20 the rate of the number of tests when the positive test rate is 5% instead.

If positive test rate = 5% and # of tests = 100, the raw number of positive tests is 5 patients, but if the # of tests were to increase to 500, the raw number of positive tests would increase to 25 since 5 times as many people were tested, not because the virus become 5 times more deadly compared to the period you're comparing it against.

#2 - The underlying distribution of data.

In this case, given a consistent number of daily tests (i.e. 1,000 per day), as the age of the patient increases, so too does the positive test rate.

If you were to roll a set of dice 1,000 times, would you expect to roll a 2 as often as a 7?

FYI... here are the two dice probabilities for all possible comes using a pair of 6-sided dice.

2 = 1/36 (2.778%)
3 = 2/36 (5.556%)
4 = 3/36 (8.333%)
5 = 4/36 (11.111%)
6 = 5/36 (13.889%)
7 = 6/36 (16.667%)
8 = 5/36 (13.889%)
9 = 4/36 (11.111%)
10 = 3/36 (8.333%)
11 = 2/36 (5.556%)
12 = 1/36 (2.778%)

What if you only recorded the outcomes of every 3rd roll instead of every single outcome? What if half of the rolls were made with a single dice instead of two? What if one of the dice was weighed or changed in some other way that would affect the expected outcomes?

Would you still expect the raw numbers from those 1,000 dice rolls to approximate these expected probabilities or would they be different because the underlying conditions of your test vs. reality are different?

Based on the data collected from previous periods of testing, what happens when the positive test rate for aged 60 or younger = 5%, the positive test rate for aged 60 or older = 10%, and the distribution of tests administered to people within those groups ranges from 25% to 75% depending on these 3 scenarios?

SCENARIO #1: 50/50 split between both age groups

500 people aged 60 or younger tested + 500 people aged 60+ or older tested

500 x 5% = 25 positive tests
500 x 10% = 50 positive tests

1,000 tests with 75 positive tests = 7.5% positive test rate

SCENARIO #2: 25/75 split between both age groups

250 people aged 60 or younger tested + 750 people aged 60+ or older tested

250 x 5% = 12.5 positive tests = 13 positive tests
750 x 10% = 75 positive tests

1,000 tests with 88 positive tests = 8.8% positive test rate

SCENARIO #3: 75/25 split between both age groups

750 people aged 60 or younger tested + 250 people aged 60+ or older tested

750 x 5% = 37.5 positive tests = 38 positive tests
250 x 10% = 25 positive tests

1,000 tests with 63 positive tests = 6.3% positive test rate

Scenario #1 vs Scenario #2 = The positive test rate increased by 1.3%. The media, health officials and government report things are getting worse.

Scenario #3 vs Scenario #1 = The positive test rate increased by 1.2%. The media, health officials and government report things are getting worse.

Scenario #3 vs Scenario #2 = The positive test rate increased by 2.5%. The media, health officials and government report things are getting much worse.

Scenario #1 vs Scenario #3 = The positive test rate decreased by 1.2%. The media, health officials and government report things are getting better.

Scenario #2 vs Scenario #1 = The positive test rate decreased by 1.3%. The media, health officials and government report things are getting better.

Scenario #2 vs Scenario #3 = The positive test rate decreased by 2.5%. The media, health officials and government report things are getting much better.

Same raw number of tests. Different results and conclusions dependent upon the distribution of the underlying data and distribution of the underlying data for the proceeding period.

Do you see how easily the numbers can be manipulated?

If 1,000 tests are administered under all 3 scenarios, why are the number of new cases and positive test rate among each set of sample tests so different for each?

While Ontario and Florida might have similar numbers of tests being administered, there are many other underlying factors that can contribute to the number of new cases, positive test rate, and other experienced outcomes.

So much so that you don't have to be a rocket scientist to see it should you take a moment to try.

Forgive me but isn’t transmission rates driven by the nature of environments people are in and their actions in those environments rather than people’s ages in those environments?
Isn’t it more a question of whether testing is being done on outbreak environments like a long-term care homes, a food processing plant or migrant worker living quarters vs. the public at large voluntary presenting for testing when they have symptoms.
That last group may skew older because younger people are thought to be more likely to not present as serious symptoms thus less likely to get tested. This does not mean of course that the actual amount of people with covid is due to demographics. Sorry if I misunderstood you.

[Logicbro]

When you have 12 percent testing positive, controlling outbreaks is almost impossible. Doesn't matter age it will hit the elderly because so many are testing positive. Either the NBA moves to Canada or a state that has this under control. It's not happening in a bubble or in Florida . It's going to happen in a society that can keep levels low and follow proper distancing efforts. It's actually quite embarrassing what is occurring in Arizona , Texas and Florida .

[Kevin Willis]

Simple comparison... Ontario 26000 tests, 180 positive, Florida 30000 tests 3000 positive . It doesn't take a rocket scientist to see that Ontaroi is in much better shape at a 0.7 percent positve rate vs 10%.

What about the underlying distribution of the data and not just the raw numbers?

What if the age of the patient for 25% of the Ontario tests was 60+ years old and the age of the patient for 75% of the Florida tests was 60+ years old?

What if the percentage of the total population in Ontario aged 60+ years is 40% and the percentage of the total population in Florida within that same age bracket is 60% in comparison?



Total age population of Florida - https://www.infoplease.com/us/census/florida/demographic-statistics

Total age population of Ontario - https://en.wikipedia.org/wiki/Demographics_of_Ontario



Florida

"Across the state, people 25-34 have the most cases with 15,002. The next closest is 45-54 with 13,891 cases. "

https://www.nbc-2.com/story/42266168/more-coronavirus-cases-reported-in-2534-age-group-in-florida

http://sharepoint.ishosted.corp/Ironshore%20Forms%20Library/Forms/AllItems.aspx

Canada

35% over 60. 50% over 50.

https://www.statista.com/statistics/1107149/covid19-cases-age-distribution-canada/

Ontario

"Among Ontario’s 1,540 deaths, those 80 and older account for 70% of all deaths. If you count from age 70 up, that demographic accounts for just 30.7% of all cases but 87% of the deaths."

https://torontosun.com/news/provincial/ontario-deaths-from-covid-19-concentrated-in-those-above-80



Would that still make for a simple comparison or would the unequal age distribution among those patients being tested when compared to each other and the underlying distribution of ages within their province/state have an effect on the outcome?

As far as the underlying data is concerned, there are 2 factors that can be controlled to manipulate the number of new cases and positive test rate among those being tested.

#1 - The number of tests administered.

In this case, given a fixed positive test rate, as the number of tests increases, so too does the number of positive tests.

Just the same as the number of times you roll a 7 increases as you attempt more rolls of the dice, the number of positive tests increases as more and more tests are administered.

Even if the probability of the expected outcomes are exactly the same as they are with a coin flip, the raw number of heads/tails increases along with the number of attempts since one can't happen without the other - can't flip tails/heads without flipping the coin.

Same with the relationship between tests and positive tests.

A patient cannot test positive without first being tested. As more people are tested, the number of positive test cases will increase in correlation with the number of tests by a factor defined by the positive test rate.

The number of positive test cases increases at 1/10 the rate of the number of tests when the positive test rate is 10%. Just the same, the number of positive test cases increases at 1/20 the rate of the number of tests when the positive test rate is 5% instead.

If positive test rate = 5% and # of tests = 100, the raw number of positive tests is 5 patients, but if the # of tests were to increase to 500, the raw number of positive tests would increase to 25 since 5 times as many people were tested, not because the virus become 5 times more deadly compared to the period you're comparing it against.

Everyone knows this - it's not necessary to repeat this ad nauseum.

#2 - The underlying distribution of data.

In this case, given a consistent number of daily tests (i.e. 1,000 per day), as the age of the patient increases, so too does the positive test rate.

If you were to roll a set of dice 1,000 times, would you expect to roll a 2 as often as a 7?

FYI... here are the two dice probabilities for all possible comes using a pair of 6-sided dice.

2 = 1/36 (2.778%)
3 = 2/36 (5.556%)
4 = 3/36 (8.333%)
5 = 4/36 (11.111%)
6 = 5/36 (13.889%)
7 = 6/36 (16.667%)
8 = 5/36 (13.889%)
9 = 4/36 (11.111%)
10 = 3/36 (8.333%)
11 = 2/36 (5.556%)
12 = 1/36 (2.778%)

What if you only recorded the outcomes of every 3rd roll instead of every single outcome? What if half of the rolls were made with a single dice instead of two? What if one of the dice was weighed or changed in some other way that would affect the expected outcomes?

Would you still expect the raw numbers from those 1,000 dice rolls to approximate these expected probabilities or would they be different because the underlying conditions of your test vs. reality are different?

Based on the data collected from previous periods of testing, what happens when the positive test rate for aged 60 or younger = 5%, the positive test rate for aged 60 or older = 10%, and the distribution of tests administered to people within those groups ranges from 25% to 75% depending on these 3 scenarios?

SCENARIO #1: 50/50 split between both age groups

500 people aged 60 or younger tested + 500 people aged 60+ or older tested

500 x 5% = 25 positive tests
500 x 10% = 50 positive tests

1,000 tests with 75 positive tests = 7.5% positive test rate

SCENARIO #2: 25/75 split between both age groups

250 people aged 60 or younger tested + 750 people aged 60+ or older tested

250 x 5% = 12.5 positive tests = 13 positive tests
750 x 10% = 75 positive tests

1,000 tests with 88 positive tests = 8.8% positive test rate

SCENARIO #3: 75/25 split between both age groups

750 people aged 60 or younger tested + 250 people aged 60+ or older tested

750 x 5% = 37.5 positive tests = 38 positive tests
250 x 10% = 25 positive tests

1,000 tests with 63 positive tests = 6.3% positive test rate

Scenario #1 vs Scenario #2 = The positive test rate increased by 1.3%. The media, health officials and government report things are getting worse.

Scenario #3 vs Scenario #1 = The positive test rate increased by 1.2%. The media, health officials and government report things are getting worse.

Scenario #3 vs Scenario #2 = The positive test rate increased by 2.5%. The media, health officials and government report things are getting much worse.

Scenario #1 vs Scenario #3 = The positive test rate decreased by 1.2%. The media, health officials and government report things are getting better.

Scenario #2 vs Scenario #1 = The positive test rate decreased by 1.3%. The media, health officials and government report things are getting better.

Scenario #2 vs Scenario #3 = The positive test rate decreased by 2.5%. The media, health officials and government report things are getting much better.

Scenarios are unnecessary, we have the raw data. It's not necessary to try and demean posters with basic probability and statistics.

Same raw number of tests. Different results and conclusions dependent upon the distribution of the underlying data and distribution of the underlying data for the proceeding period.

Do you see how easily the numbers can be manipulated?

If 1,000 tests are administered under all 3 scenarios, why are the number of new cases and positive test rate among each set of sample tests so different for each?

While Ontario and Florida might have similar numbers of tests being administered, there are many other underlying factors that can contribute to the number of new cases, positive test rate, and other experienced outcomes.

So much so that you don't have to be a rocket scientist to see it should you take a moment to try.

Florida

Positive test rate tracker. As of June 19

"The state of Florida saw a 17.33% daily positive rate for coronavirus on Friday.

The rate on Thursday was 12.55%.

This is the highest daily positive rate for COVID-19 tests in the month of June.

The latest daily data from the Florida Department of Health shows 3,822 patients out of 21,561 people tested positive for COVID-19."

https://www.clickorlando.com/news/local/2020/06/18/update-track-floridas-rate-of-positive-covid-19-tests/

Ontario

Positive test rate. Around 3%.

"Ontarians are testing positive with COVID-19 at about half the rate of last week, says chief medical officer Dr. David Williams.

The change comes as testing levels have improved and the number of new cases as reported by the Ministry of Health has been in decline for two days.

“That’s encouraging,” Williams told a news conference Wednesday, citing a positivity rate of 3.5 per cent but warning officials are keeping a close watch on numbers to see if the trend continues after an unexpected surge last week."

https://www.thestar.com/politics/provincial/2020/05/27/ontario-is-approaching-28000-cases-of-covid-19-and-testing-numbers-are-up.html

Edit: Reply in red above.

[Logicbro]

I'm more concerned with the evidence that the u.s. is holding back the death count using any means necessary. I don't believe a lot of the states count possible covid deaths (where itis very likely covid contributed to death) whereas canada and most of the world does. They are also not counting out of state deaths etc. I would probably assume the death rate in america in connection with COVID is 50% higher than what is stated. I'm waiting until the truth comes out, it is obvious from Trump they are doing whatever means necessary to downplay everything. Can't really trust em, and if the numbers look bad I will assume they are much worse.

Before I go more fun facts today:

Florida shows 3,822 patients out of 21,561 people tested positive for COVID-19.
Ontario 175 positive with 23,408 people tested.

Yep distancing and lockdown helped slow it for sure!

[Fairview4Life]

Interesting look at why protests didn't drive outbreaks:

Read on Twitter

[LoveMyRaps]

Y'all know where I can get face masks from?
Amazon is full of scammers and overpriced masks.

Please help a brudda out.

[alan_156]

Y'all know where I can get face masks from?
Amazon is full of scammers and overpriced masks.

Please help a brudda out.

Costco

[Kevin Willis]

Y'all know where I can get face masks from?
Amazon is full of scammers and overpriced masks.

Please help a brudda out.

Tyrell Biggums buys it at Canadian Tires. Especially the white ones, reminds him of. Um. Sugar??

[Lord_Zedd]

Y'all know where I can get face masks from?
Amazon is full of scammers and overpriced masks.

Please help a brudda out.

No joke, I get them from canada computers lol

https://www.canadacomputers.com/product_info.php?cPath=1402_1504&item_id=167313

[Pointgod]

When you have 12 percent testing positive, controlling outbreaks is almost impossible. Doesn't matter age it will hit the elderly because so many are testing positive. Either the NBA moves to Canada or a state that has this under control. It's not happening in a bubble or in Florida . It's going to happen in a society that can keep levels low and follow proper distancing efforts. It's actually quite embarrassing what is occurring in Arizona , Texas and Florida .

Actually it’s not surprising at all. These are the same states with Trump humping Governors that bought the idiotic “open the economy” talking point. There’s been a major failure of leadership at the top of the US government, Trump doesn’t even bother talking about it anymore. Imagine if George Bush just stopped acknowledging that 911 happened a couple months after the tragedy and instead just campaigned? This result was entirely predictable when you don’t listen to scientists, medical experts and the media.

[Fairview4Life]

Imagine if George Bush just stopped acknowledging that 911 happened a couple months after the tragedy and instead just campaigned?

Probably would have worked out better, to be honest.

[Bomboclot416]

When you have 12 percent testing positive, controlling outbreaks is almost impossible. Doesn't matter age it will hit the elderly because so many are testing positive. Either the NBA moves to Canada or a state that has this under control. It's not happening in a bubble or in Florida . It's going to happen in a society that can keep levels low and follow proper distancing efforts. It's actually quite embarrassing what is occurring in Arizona , Texas and Florida .

Actually it’s not surprising at all. These are the same states with Trump humping Governors that bought the idiotic “open the economy” talking point. There’s been a major failure of leadership at the top of the US government, Trump doesn’t even bother talking about it anymore. Imagine if George Bush just stopped acknowledging that 911 happened a couple months after the tragedy and instead just campaigned? This result was entirely predictable when you don’t listen to scientists, medical experts and the media.

Let's look at the facts instead of letting our feelings drive the truth.

1. The world health organization and many scholars, epidemiologists and experts refer to Covid as mild and not much of a threat
2. Numbers begin increasing in China
3. Trump is being impeached and the focus is on burning him at the stake, not focusing on this pathogen wreaking havoc across the world
4. Trump found not guilty, closes border to China and is called a racist for doing so
5. The data tells us that the morbidity from Covid for people under 60 is very low, infact, many people present as asymptomatic (not even knowing they are sick)
5. The panickers and media create a storm of propaganda where stores start selling out of goods and the goverments across the world look down their countries to stop the spread of the disease so that we can "flatten the curve" so that hospitals aren't overwelhmed with sick people.....even though like 95% of people are asymptomatic
6. People sit at home, the US mobilizes testing. The numbers grow exponentially. Even with this being said, studies have shown they believe the amount of people that have actually had COVID is a factor of to 50 to 70 times higher then what current testing shows. These people just don't get tested because there aren't enough tests or they don't realize they are even sick
7. Now, the US and Canada change their tune that the only salivation comes at the form of a vaccine....so hold on, this virus may infect you without you even knowing you are sick, you won't exhibit any symptoms, but you must get the vaccine....many more people will die from being poor and the associated health issues as a result of being poor like poorer quality food, no home, mental health etc....
8. People realize that this is all ludicrous and start protesting to open things up. CNN and other leftists mock them for being out with no masks and that they aren't good citizens and will spread the virus, but no mention of this for the mast protests occuring now....infact someone referenced an article about a study done saying that the protests have reduced the transmission.....GIMME A BREAK. What a hyprocisy.

This world is going to hell in a handbasket, with everyone thinking their feelings are the truth and not looking at facts. Wake up people this is all absolutely ridiculous

[Fairview4Life]

Let's look at the facts instead of letting our feelings drive the truth.

Sure.

3. Trump is being impeached and the focus is on burning him at the stake, not focusing on this pathogen wreaking havoc across the world

False.

4. Trump found not guilty, closes border to China and is called a racist for doing so

False.

5. The panickers and media create a storm of propaganda where stores start selling out of goods and the goverments across the world look down their countries to stop the spread of the disease so that we can "flatten the curve" so that hospitals aren't overwelhmed with sick people.....even though like 95% of people are asymptomatic

False.

6. People sit at home, the US mobilizes testing. The numbers grow exponentially. Even with this being said, studies have shown they believe the amount of people that have actually had COVID is a factor of to 50 to 70 times higher then what current testing shows. These people just don't get tested because there aren't enough tests or they don't realize they are even sick

False.

7. Now, the US and Canada change their tune that the only salivation comes at the form of a vaccine....so hold on, this virus may infect you without you even knowing you are sick, you won't exhibit any symptoms, but you must get the vaccine....many more people will die from being poor and the associated health issues as a result of being poor like poorer quality food, no home, mental health etc....

False.

8. People realize that this is all ludicrous and start protesting to open things up. CNN and other leftists mock them for being out with no masks and that they aren't good citizens and will spread the virus, but no mention of this for the mast protests occuring now....infact someone referenced an article about a study done saying that the protests have reduced the transmission.....GIMME A BREAK. What a hyprocisy.

Misleading nonsense.

This world is going to hell in a handbasket, with everyone thinking their feelings are the truth and not looking at facts. Wake up people this is all absolutely ridiculous

Absolutely.

[OAKLEY_2]

I'm more concerned with the evidence that the u.s. is holding back the death count using any means necessary. I don't believe a lot of the states count possible covid deaths (where itis very likely covid contributed to death) whereas canada and most of the world does. They are also not counting out of state deaths etc. I would probably assume the death rate in america in connection with COVID is 50% higher than what is stated. I'm waiting until the truth comes out, it is obvious from Trump they are doing whatever means necessary to downplay everything. Can't really trust em, and if the numbers look bad I will assume they are much worse.

Before I go more fun facts today:

Florida shows 3,822 patients out of 21,561 people tested positive for COVID-19.
Ontario 175 positive with 23,408 people tested.

Yep distancing and lockdown helped slow it for sure!

As a killer in developed nations 130,000 dead s/be 1 to 2 per cent of the extrapolated larger number of positive cases. Their number of confirmed cases is massively underreported for whatever reason the most likely which is grossly inadequate testing. What a time to cynically try and kill the affordable care act. This is not a nation in the conventional sense. It is a holding company that hijacked a Republic to be the muscle arm for the world's largest corporations.

[OAKLEY_2]

Give us thy daily taxes so we may deliver thy Billionare from evil. Or in laymen's terms - losing thy money.

[Bomboclot416]

Let's look at the facts instead of letting our feelings drive the truth.

Sure.

3. Trump is being impeached and the focus is on burning him at the stake, not focusing on this pathogen wreaking havoc across the world

False.

4. Trump found not guilty, closes border to China and is called a racist for doing so

False.

5. The panickers and media create a storm of propaganda where stores start selling out of goods and the goverments across the world look down their countries to stop the spread of the disease so that we can "flatten the curve" so that hospitals aren't overwelhmed with sick people.....even though like 95% of people are asymptomatic

False.

6. People sit at home, the US mobilizes testing. The numbers grow exponentially. Even with this being said, studies have shown they believe the amount of people that have actually had COVID is a factor of to 50 to 70 times higher then what current testing shows. These people just don't get tested because there aren't enough tests or they don't realize they are even sick

False.

7. Now, the US and Canada change their tune that the only salivation comes at the form of a vaccine....so hold on, this virus may infect you without you even knowing you are sick, you won't exhibit any symptoms, but you must get the vaccine....many more people will die from being poor and the associated health issues as a result of being poor like poorer quality food, no home, mental health etc....

False.

8. People realize that this is all ludicrous and start protesting to open things up. CNN and other leftists mock them for being out with no masks and that they aren't good citizens and will spread the virus, but no mention of this for the mast protests occuring now....infact someone referenced an article about a study done saying that the protests have reduced the transmission.....GIMME A BREAK. What a hyprocisy.

Misleading nonsense.

This world is going to hell in a handbasket, with everyone thinking their feelings are the truth and not looking at facts. Wake up people this is all absolutely ridiculous

Absolutely.

Great leftist rebuttal. No facts just disagreement. And you would fight to the end to say that you are correct. This is part of what's wrong with this world these days.

[mtcan]

Let's look at the facts instead of letting our feelings drive the truth.

Sure.

3. Trump is being impeached and the focus is on burning him at the stake, not focusing on this pathogen wreaking havoc across the world

False.

4. Trump found not guilty, closes border to China and is called a racist for doing so

False.

5. The panickers and media create a storm of propaganda where stores start selling out of goods and the goverments across the world look down their countries to stop the spread of the disease so that we can "flatten the curve" so that hospitals aren't overwelhmed with sick people.....even though like 95% of people are asymptomatic

False.

6. People sit at home, the US mobilizes testing. The numbers grow exponentially. Even with this being said, studies have shown they believe the amount of people that have actually had COVID is a factor of to 50 to 70 times higher then what current testing shows. These people just don't get tested because there aren't enough tests or they don't realize they are even sick

False.

7. Now, the US and Canada change their tune that the only salivation comes at the form of a vaccine....so hold on, this virus may infect you without you even knowing you are sick, you won't exhibit any symptoms, but you must get the vaccine....many more people will die from being poor and the associated health issues as a result of being poor like poorer quality food, no home, mental health etc....

False.

8. People realize that this is all ludicrous and start protesting to open things up. CNN and other leftists mock them for being out with no masks and that they aren't good citizens and will spread the virus, but no mention of this for the mast protests occuring now....infact someone referenced an article about a study done saying that the protests have reduced the transmission.....GIMME A BREAK. What a hyprocisy.

Misleading nonsense.

This world is going to hell in a handbasket, with everyone thinking their feelings are the truth and not looking at facts. Wake up people this is all absolutely ridiculous

Absolutely.

Great leftist rebuttal. No facts just disagreement. And you would fight to the end to say that you are correct. This is part of what's wrong with this world these days.

The straight up partisanship during a public health crisis is what's wrong with the world today. **** left vs right...this is not the time to argue by party lines. Leave that BS out of this discussion

[Kevin Willis]

Let's look at the facts instead of letting our feelings drive the truth.

Sure.

3. Trump is being impeached and the focus is on burning him at the stake, not focusing on this pathogen wreaking havoc across the world

False.

4. Trump found not guilty, closes border to China and is called a racist for doing so

False.

5. The panickers and media create a storm of propaganda where stores start selling out of goods and the goverments across the world look down their countries to stop the spread of the disease so that we can "flatten the curve" so that hospitals aren't overwelhmed with sick people.....even though like 95% of people are asymptomatic

False.

6. People sit at home, the US mobilizes testing. The numbers grow exponentially. Even with this being said, studies have shown they believe the amount of people that have actually had COVID is a factor of to 50 to 70 times higher then what current testing shows. These people just don't get tested because there aren't enough tests or they don't realize they are even sick

False.

7. Now, the US and Canada change their tune that the only salivation comes at the form of a vaccine....so hold on, this virus may infect you without you even knowing you are sick, you won't exhibit any symptoms, but you must get the vaccine....many more people will die from being poor and the associated health issues as a result of being poor like poorer quality food, no home, mental health etc....

False.

8. People realize that this is all ludicrous and start protesting to open things up. CNN and other leftists mock them for being out with no masks and that they aren't good citizens and will spread the virus, but no mention of this for the mast protests occuring now....infact someone referenced an article about a study done saying that the protests have reduced the transmission.....GIMME A BREAK. What a hyprocisy.

Misleading nonsense.

This world is going to hell in a handbasket, with everyone thinking their feelings are the truth and not looking at facts. Wake up people this is all absolutely ridiculous

Absolutely.

Great leftist rebuttal. No facts just disagreement. And you would fight to the end to say that you are correct. This is part of what's wrong with this world these days.

No Fairview is just being nice. He has destroyed better arguments than the ones you presented with pure facts. He's probably tired or busy. Let it go...

I agree it's partisan crap, let's leave that out of this thread and put it in the politics thread. Bomboclot you're can always go there to share your point of view.

[Fairview4Life]

Great leftist rebuttal. No facts just disagreement. And you would fight to the end to say that you are correct. This is part of what's wrong with this world these days.

I'm sorry, did you present any facts to rebut or did you just lie to yourself in a little messageboard rant?