Youtube comments of Primmakin Sofis (@primmakinsofis614).
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$228,810,339 domestic box office,, of which Disney received about $125,845,686.
$185,400,000 international box office, of which Disney received about $83,430,000.
Disney thus has earned so far about $209,275,686 on The Little Mermaid. But it spent $250 million to make the film and another $140 million marketing and advertising it.
Disney has lost roughly $180.7 million on the film at present. This will come down as the film's theatrical run continues, but Disney looks set to lose a hefty amount on it.
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So, when are these Extinction Rebellion people going to take their protests to China?
You know, China, the #1 nation for CO2 emissions in the world? You know, China, the #1 emitter of CO2 in the world every year since 2005? You know, China, the nation which in 2019 emitted as much CO2 by itself as did the next five nations combined? You know, China, which has emitted more CO2 in the last 15 years than has the United States over the last 25?
They are not even going to mention China, are they?
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Delta variant case fatality rate according to U.K. Technical Briefing 19 published July 23rd.
0.22% = all ages (454 deaths out of 204,063 cases)
0.12% = all ages, partially vaccinated (65 deaths out of 54,090 cases)
0.78% = all ages, fully vaccinated (224 deaths out of 28,773 cases)
0.14% = all ages, unvaccinated (165 deaths out of 121,400 cases)
As always, age makes a big difference.
0.01% = under 50, partially vaccinated
0.03% = under 50, fully vaccinated
0.03% = under 50, unvaccinated
1.08% = 50+, partially vaccinated
1.64% = 50+, fully vaccinated
5.61% = 50+, unvaccinated
See Table 5 on page 18 of the report PDF.
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1990skelly They are reporting on how health officials are being disgraced and attacked.
Well, why shouldn't they be disgraced and attacked given the level of LIES they state about COVID?
Has any public health official spoken out AGAINST vaccinating 5-11 year olds? The ones I've seen all seem very eager to put the needle into 5-11 year olds. Have any such eager public health officials stated the actual risk from COVID to 5-11 year olds?
The Ontario government has such data. It is freely and publicly available. You can look it up for yourself. (Indeed, you should, because neither the "news" media, politicians, nor public health officials seem interested in telling you what the data actually shows.)
Here is the Ontario government's OWN DATA as published on Nov. 12, 2021, for the entire pandemic, for children aged 5-11 years:
32,722 cases out of 1,078,527 children in the age group.
86 hospitalizations out of 1,078,527 children in the age group.
1 death out of 1,078,527 children in the age group.
The per capita risk is thus:
1 in 33 of becoming a case.
1 in 12,541 of being hospitalized.
1 in 1,078,527 of dying.
This is the actual level of risk they are trying to scare you about.
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Hey, Cynthia, think you might want to mention this Ontario data?
32,817 = active cases on April 11, 2021
31,703 = active cases on April 11, 2022 (3.4% lower than last year)
1,513 = number of hospitalized COVID patients on April 11, 2021
1,090 = number of hospitalized COVID patients on April 11, 2022 (28.0% lower than last year)
605 = number of COVID patients in ICUs on April 11, 2021
184 = number of COVID patients in ICUs on April 11, 2022 (69.6% lower than last year)
You are a real journalist, are you not, Cynthia? This data is freely and publicly available from the government itself. It's easily found.
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@zoeydeu2261 According to the Ontario government's OWN DATA published Nov. 8th, the per capita rate of COVID hospitalization and COVID death by age group:
0-4 years: 1 in 2,760 hospitalization rate; 1 in 361,508 fatality rate
5-11 years: 1 in 12,541 hospitalization rate; 1 in 1,078,527 fatality rate
12-19 years: 1 in 5,517 hospitalization rate; 1 in 443,160 fatality rate
The chances, according to the Ontario government's data, of a 5-11 year old dying from COVID are literally one in a million.
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@abc-lp6nb By that logic you should be supporting these levels of restrictions every flu season since plain old influenza and pneumonia killed 7,630 Canadians in 2015, 6,235 in 2016, 7,396 in 2017, 8,511 in 2018, and 6,893 in 2019. That's a total of 36,665 Canadians killed by influenza and pneumonia over those five years.
Lives lost to influenza and pneumonia are just as deserving of massive government intervention as are lives lost to COVID, right?
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Hey, Greta, when are you taking your demonstrations to China?
You know, China, the #1 emitter of CO2 in the world.
You know, China, the #1 emitter of CO2 in the world every year since 2005.
You know, China, which emitted more CO2 by itself than the next five nations combined.
You know, China, which emitter more CO2 in the last 15 years than the U.S. in the last 25 years.
Why aren't you yelling at China for being the biggest contributor to climate change in the world?
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@satsadarkpath2094 what’s that? The virus survival rate? 1% mortality is ok with you?
Now try looking at it by age group for a more accurate picture. Case fatality rate by age group in Canada according to the federal data published July 30th.
0-19 years: 0.005%
20-29 years: 0.02%
30-39 years: 0.06%
40-49 years: 0.16%
50-59 years: 0.54%
60-69 years: 2.23%
70-79 years: 8.93%
80+ years: 23.92%
Those under 60 years of age (76% of the population) are at minimal risk, and especially those under 50.
Here is the fatality risk on a per capita basis by age group:
0-19 years: 1 in 580,073 (14 deaths out of 8,121,022 people)
20-29 years: 1 in 77,297 (66 deaths out of 5,101,604 people)
30-39 years: 1 in 35,767 (145 deaths out of 5,186,274 people)
40-49 years: 1 in 14,176 (340 deaths out of 4,819,894 people)
50-59 years: 1 in 5,293 (993 deaths out of 5,255,814 people)
60-69 years: 1 in 1,805 (2,555 deaths out of 4,611,490 people)
70-79 years: 1 in 534 (5,376 deaths out of 2,872,378 people)
80+ years: 1 in 95 (17,017 deaths out of 1,624,908 people)
Additional comparative data:
880 = number of Canadians under the age of 50 who died in transportation accidents in 2019
565 = number of Canadians under the age of 50 who died from COVID in 2020-2021
Transportation claimed more lives of those under 50 in Canada in one year than has COVID over 15+ months.
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Re: 1:31 and the reference to the McDonald's hot coffee lawsuit.
The popular perception that this was a frivolous lawsuit is quite wrong. This was, in fact, a legitimate lawsuit. The hot coffee in question wasn't just hot, it was, literally, scaldingly hot. McDonald's had been warned repeatedly that its coffee was dangerously hot when given to customers, far above the temperature considered reasonable, but had done nothing about it. The elderly woman received serious injuries from the coffee, with significant burns requiring major medical treatment.
In short, this lawsuit is an example of how the "news" media can shape the opinion on a matter, an opinion actually at odds with the facts. Think of how the media inaccurately reported on the Kyle Rittenhouse case; it's much the same with the McDonald's coffee lawsuit.
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"We want our shows to reflect the diverse world we live in."
If that was true, the cast of a show would be one-fifth East Asian (Chinese, Japanese, Korean, or Vietnamese, who together comprise one-fifth of the world's population), and another one-fifth would be South Asian (Indian, Pakastani, or Bangladeshi, who together also comprise about one-fifth of the world's population).
Curiously, shows do not have such cast proportions.
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@maxweinbach3996 Because 60 is the dividing line at which the survival/recovery rate drops below 99%. Those under 60 also mark the dividing line for three-quarters of the Ontario population (with one-quarter being 60 or older).
Here is the survival/recovery rate by age group in Ontario as of May 6th's published data. Note that these figures are for resolved cases (i.e. the person either recovered or passed away). It excludes any ongoing cases without a resolution.
0-19 years: 99.996% (68,916 recoveries vs. 3 deaths)
20-29 years: 99.98% (93,639 recoveries vs. 18 deaths)
30-39 years: 99.95% (71,749 recoveries vs. 37 deaths)
40-49 years: 99.87% (64,360 recoveries vs. 84 deaths)
50-59 years: 99.51% (64,632 recoveries vs. 317 deaths)
60-69 years: 98.00% (40,100 recoveries vs. 818 deaths)
70-79 years: 92.11% (19,162 recoveries vs. 1,641 deaths)
80-89 years: 80.31% (12,011 recoveries vs. 2,944 deaths)
90+ years: 71.18% (5,803 recoveries vs. 2,350 deaths)
Collectively, the under-60 age group has a 99.87% survival/recovery rate (363,296 recoveries vs. 459 deaths).
Collectively, the 60+ age group has a 90.86% survival/recovery rate (77,076 recoveries vs. 7,753 deaths).
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@robertcross7571 And if you get a life-threatening condition because of it, stay the f out of the hospital!!! You're not worth it.
People who say things like the above are always the ones who are appalling ignorant of the most basic of COVID statistics, even though such statistics are freely and publicly available online.
122,292 hospitalizations out of 3,007,529 cases = 4.07% (1 in 25)
21,590 ICU admissions out of 3,007,529 cases = 0.72% (1 in 139)
2,532 ventilated cases out of 3,007,529 cases = 0.08% (1 in 1,188)
The odds of someone requiring medical attention due to COVID are very low. And you'd know this if you looked at the official primary source data for yourself instead of outsourcing your thinking to the "news" media.
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Why hasn't the government put a shred of money into increasing ICU capacity
Oh, but the Ford government did. Or rather, it put out a press release on April 16, 2020, touting how it had increased critical care beds in Ontario:
"The province has added 1,035 acute care beds and 1,492 critical care beds and taken steps to ensure hospitals have the staff available to care for a sudden surge in patients."
Those extra beds raised the number from 2,012 up to 3,504.
Except . . . the ICU bed census carried out by Critical Care Services Ontario showed that the number of critical care beds never went above 2,600. While that data was not for public use, a few physicians on Twitter did post it a few times. The Ontario government has subsequently confirmed the ICU bed totals on its own COVID-19 data pages, and that data shows ICU beds topped out at 2,554. That's 950 beds short of what the Ford government claimed it had created in that April 2020 press release.
Where did those 950 extra beds go? Apparently, they were never created, and the Ford government lied about having created them.
That press release is still online. You can read it for yourself here:
news ontario caZenZreleaseZ56688Zontario-significantly-expands-hospital-capacity-to-prepare-for-any-covid-19-outbreak-scenario
Replace the spaces with . and the Z with /
And notice NO ONE in the "news" media has ever asked about nor looked into this.
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@bradcanning875 The rest of us want them removed based on science.
The people who yell "Follow the Science!" are also the ones who are appallingly ignorant of even the most rudimentary COVID data and statistics they could easily look up for themselves. They seem to think only the talking heads on the six o'clock news are allowed to see the data, and blindly trust whatever those talking heads say.
The "Follow the Science!" crowd don't know, for example, that in Canada in 2020, suicide, transportation accidents, and diabetes all claimed the lives of more Canadians under the age of 60 than did COVID. (The exact numbers according to Statistics Canada: 2,880; 1,153; 918; and 528 respectively. Yes, there were over five times as many suicide deaths as COVID deaths of those under 60.)
(For a supposedly highly contagious and dangerous virus, shouldn't its body count be far higher than those causes?)
The "Follow the Science!" crowd don't know, for example, that in Ontario over the last 30 days, the number of fully vaccinated and fully vaccinated with a booster people admitted to hospital due to COVID was DOUBLE that of unvaccinated persons (3,787 vs. 1,938).
The "Follow the Science!" crowd don't know, for example, that in Ontario over the last 60 days, the number of fully vaccinated and fully vaccinated with a booster people who died from COVID was NEARLY DOUBLE that of unvaccinated persons (890 vs. 462).
(These figures are from Table 3a and 4a in the Public Health Ontario report "Confirmed Cases of COVID-19 Following Vaccination in Ontario: December 14, 2020 to January 30, 2022".)
The "Follow the Science!" crowd don't know, for example, that in Ontario over the 654 days of the pandemic from May 1, 2020, onward, the number of EMPTY beds in ICUs exceeded the number occupied by COVID on 557 of those days (85% of the time).
The "Follow the Science!" crowd don't know, for example, that in Ontario over the 654 days of the pandemic from May 1, 2020, onward, the FEWEST empty ICU beds there ever were was on Jan. 13, 2021, when there were 320 empty ICU beds (there were 408 COVID patients and 1,408 other patients in ICU beds that day). That's 15% of total beds in the province UNOCCUPIED. That's the lowest the empty ICU capacity ever got.
(How could it ever have been a health care crisis when so many ICU beds were sitting EMPTY and ready for use? Why, it almost seems as if the politicians and journalists and public health officials were LYING.)
Given these example,s and so many more I could cite, why on earth should I listen to anyone in the "Follow the Science!" camp when they are so ignorant of official primary source data which shows the talking heads on the six o'clock news are WRONG or even LYING? My patience for such people is exhausted, and I will no longer play nice with the willfully ignorant who outsource their thinking to the six o'clock news.
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Think Asymptomatic means they can't spread it . . ."
Asymptomatic spread is NOT a thing. Multiple studies from multiple nations have shown that symptomatic cases cause the vast majority of csses.
or won't die.
99.93% survival/recovery rate for cases under 60 years of age in Alberta (133 deaths out of 183,602 cases in the age group, as of May 9th).
Ontario's figure is 99.87% survival/recovery for cases under 60, for comparison.
Or, that it won't mutate.
The narrative about variants is pure scaremongering. Don't fall for it. Instead, look at THE GOVERNMENT'S OWN DATA for yourself. That data is freely and publicly available, and says something rather different from what the media and politicians say it says.
Ontario government data for non-LTC cases. Same relative time periods, from six weeks prior to the active case peak through three weeks afterward (64 days total).
Winter wave (Nov. 30 - Feb. 1, active case peak Jan. 11)
149,179 cases and 1,263 deaths = 0.85% case fatality rate
Spring wave (Mar. 9 - May 11, active case peak Apr. 20)
186,937 cases and 1,207 deaths = 0.65% case fatality rate
So, in the spring, despite 25.3% MORE cases, and despite the increasing frequency of the supposedly more dangerous variants, deaths were 4.4% LOWER, and the case fatality rate 23.7% LOWER.
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@connornurmi7326 nobody is forcing you to get a shot
Not yet. But many governments, including those in Canada, are making noises about making it effectively mandatory by restricting freedoms of those not vaccinated.
Vaccines are the fastest way to end the pandemic with the least economic and health damage
The fastest way is to OPEN EVERYTHING WITH NO RESTRICTIONS. Just like Florida and Texas.
Contrary to what the news media, politicians, and public health officials claim, COVID is not the Ebola-Black Death-Spanish Flu combination they want people think it is. And the GOVERNMENT'S OWN DATA SHOWS THIS.
The per capita risk of death by age group according to federal government data published May 28th:
0-19 years: 1 in 738,275
20-29 years: 1 in 87,959
30-39 years: 1 in 42,862
40-49 years: 1 in 17,338
50-59 years: 1 in 6,055
60-69 years: 1 in 2,037
70-79 years: 1 in 567
80+ years: 1 in 98
The highly age-stratified nature of COVID fatalities was well-established over a year ago.
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I get why places like grocery stores put up the shields at the beginning. All the details of how it was spread weren't known at the start
You know what was known at the start? The people who were actually at risk from the virus.
First, there was the cruise ship data, which should have quelled the fear.
Second, there was the early data out of Italy, published in the first few days of April 2020, a time by which that country had already recorded some 12,000 deaths from the virus. That data clearly showed the highly age-stratified nature of the COVID risk. If you were under 60, your risk was low. It was the elderly who were the most affected.
But this early data was IGNORED by the powers-that-be in favor of comparisons to Spanish Flu (a highly disingenuous comparison even then), and then the outlandish predictions of vast numbers of dead within a score of weeks proffered by such "experts" as the now-disgraced Neil Ferguson of Imperial College and the IHME in the United States.
Then there was the "news" media, which did its level best to spread fear, panic, and hysteria.
And nearly everyone bought into it.
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The reason, Blue sky, is because COVID already passed its winter peak. The active case count in Ontario peaked on Jan. 10th -- which was one day earlier than it peaked in Jan. 2021. COVID is seasonal, just like its fellow respiratory viruses.
Ottawa specifically hit its winter active case peak on Jan. 3rd. Here are the figures for the city in weekly installments, according to the Ontario government's own data:
9,404 = Jan. 3rd
8,780 = Jan. 10th
5,404 = Jan. 17th
3,839 = Jan. 24th
2,752 = Jan. 31st
2,049 = Feb. 7th
The figure reported today (Feb. 10th) is 1,672.
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@st_clairduf7331 Today's epidemiological report (which covers up through yesterday) has the ICU total at 396, which is four below the peak of 400. I've seen press reports of it being higher today, but as today isn't in the record books just yet, I'll wait for tomorrow's report for the official numbers.
Only 1 in 20 confirmed COVID cases in Ontario were ever hospitalized (17,005 out of 349,903 cases) and only 1 in 117 were ever admitted to an ICU (2,988 out of 349,903 cases).
There are also, according to the Ontario government, a total of 3,504 critical care beds in the province. Which means 396 in ICU is 11.3% of provincial capacity.
Unless, of course, the Ford government lied about adding 1,492 critical care beds to the provincial system in April of last year.
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@abcdedfg8340 Your forgetting delta is still surging around lol
Delta was a nothing burger in Canada.
2020 = 15,787 COVID deaths out of 588,939 COVID cases
2021 = 14,245 COVID deaths out of 1,277,968 COVID cases
Despite Delta and despite 2.2 times MORE cases, there were 9.8% FEWER deaths this year than last year.
but the unvaxxed are much more likely to end up as severe cases.
Public Health Agency of Canada data covering Dec. 14, 2020, through Nov. 27, 2021:
5.66% = hospitalization rate of infected unvaccinated COVID cases
4.26% = hospitalization rate of infected fully vaccinated COVID cases
1.11% = fatality rate of infected unvaccinated COVID cases
1.17% = fatality rate of infected fully vaccinated COVID cases
Isn't that interesting? It turns out that a fully vaccinated person who becomes infected is about 25% less likely to be hospitalized than an unvaccinated person, but is about 5% more likely to die.
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@matthewsimpson1268 It's very simple, Matthew.
If masks are as effective in stopping COVID transmission as you seem to believe, then there MUST be a correlation between the implementation of mask mandates and the subsequent case counts. If there is NO correlation, then masks CANNOT be having any discernible effect.
It's quite simple.
Take the example of Toronto. Masks for the inside of all public areas, including businesses, came into effect on July 7th of 2020. That's over 11 months ago.
Examine the case counts after implementation. Do they stay low or increase only marginally? No, they do not. The increase dramatically in the winter, then fall, then rise again in the spring, and fall again, and have kept falling.
No correlation.
And you can't point to low compliance as an explanation. Compliance on public transit is 99%, according to the TTC itself, and based on my first-hand observation, compliance in stores is a similar 99%.
While correlation is not necessarily causation, if there's NO correlation, there CANNOT be causation.
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Does Canada really work under GTA-series
The Canada depicted in the show does NOT exist. It's a complete nonsensical fantasy.
Cities here don't have a sheriff's department, they have a police department with a chief of police, a board, and the usual assortment of detectives, sergeants, constables, etc. The Crown prosecutor would decide if a charge goes forward, a plea deal arranged, or the charges dropped. Pharmacies can't unilaterally jack up the price of prescription medications as these prices are controlled by the government, and there are several benefit programs run by the provincial government to assist those of lower income in need of expensive medications. The "news" media is decidedly left-wing and most certainly would run plenty of stories in favour of supposedly downtrodden or discriminated against groups. And so on and so on.
Director Twitter, er, I mean Director X, apparently has no idea that the history of Canada in terms of race relations, its system of government and administration, and demographics, are all completely different from that of the United States.
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@darlene2709 <--- STILL doesn't know how to look up primary source data
Here is the primary source data from Public Health Ontario, covering Jan. 15, 2020, through Nov. 21, 2021:
1 -- yes, ONE -- death attributed to COVID out of 1,078,527 children aged 5-11 in Ontario
One in a million. This is the actual level of risk the "news" media, politicians, public health,and Vaccines Save Lives is trying to scare you about.
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@krispbacon9474 You people want all the benefits of longer life and outstanding hospital care and keeping your loved ones alive
Now let's look at what the data actually says about risk. From the latest Ontario data published June 8th.
Resolved case recovery/survival rate by age group:
0-19 years: 99.995%
20-29 years: 99.98%
39-39 years: 99.94%
40-49 years: 99.84%
50-59 years: 99.45%
60-69 years: 97.95%
70-79 years: 92.33%
80-89 years: 80.91%
90+ years: 71.53%
Per capita rate of OOVID deaths by age group
0-19 years: 0.13 per 100,000
20-29 years: 1.11 per 100,000
30-39 years: 2.43 per 100,000
40-40 years: 6.42 per 100,000
50-59 years: 20.09 per 100,000
60-69 years: 56.19 per 100,000
70-79 years: 165.75 per 100,000
80-89 years: 601.85 per 100,000
90+ years: 1,877.22 per 100,000
For some context, the homicide rate in Ontario in 2019 was 1.69 per 100,000.
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@Dee Richardz do you honestly expect a miracle for a vaccine to be effective for everyone?
What percentage of kids who get the MMR vaccine go on to develop a case of measles, mumps, or Rubella? What percentage of people who get the Meningitis vaccine go on to develop a case of Meningitis? What percentage of people who get the Hepatitis vaccine go on to develop a case of Hepatitis? What percentage of people who get the Yellow Fever vaccine end up contracting Yellow Fever?
The point of a vaccine is to prevent the recipient from contracting that disease.
How do the COVID vaccines compare in this regard to the many other vaccines for other diseases? This is the question that should be answered by using comparative data.
The data from Iceland and the U.K. show that the COVID vaccines are failing at preventing infection in vaccinated people.
According to U.K. Technical Briefing 20, of 268,111 cases of the Delta variant:
56.33% were unvaccinated individuals (151,052/268,111)
26.14% were partially vaccinated individuals (70,106/268,111)
17.53% were fully vaccinated individuals (47,008/268,111)
According to Iceland's official data, over the 18 days spanning July 19th through Aug. 5th, the country reported 1,765 cases of COVID:
28.90% were unvaccinated individuals (510/1,765)
2.44% were partially vaccinated individuals (43/1,765)
68.67% were fully vaccinated individuals (1,212/1,765)
Note that Iceland has a small population (~343,000), which means 1,765 cases is 0.51% of the population. That would be the equivalent of about 193,000 cases in Canada (37.6 million population).
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@CarlosRamirez-wb7zu According to the Ontario government's OWN DATA published Nov. 8th, the per capita rate of COVID hospitalization and COVID death by age group:
0-4 years: 1 in 2,760 hospitalization rate; 1 in 361,508 fatality rate
5-11 years: 1 in 12,541 hospitalization rate; 1 in 1,078,527 fatality rate
12-19 years: 1 in 5,517 hospitalization rate; 1 in 443,160 fatality rate
The chances, according to the Ontario government's data, of a 5-11 year old dying from COVID are literally one in a million.
This is the actual level of risk.
I doubt the rates in the U.S. are much different.
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@johnyblaze6226 If you are truly concerned about climate change, then you should be screaming at China most of all.
You know, China, the #1 emitter of CO2 in the world.
You know, China, the #1 emitter of CO2 in the world every year since 2005.
You know, China, the country which emitted more CO2 by itself in 2020 than did the next seven nations combined.
You know, China, the nation which has emitted more total CO2 since 1990 than any other nation.
You did know those things, didn't you?
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The pandemic spending is why Trudeau will be voted back in
The election pattern of the last 30 years indicates otherwise. Those 30 years show that, once the same guy has been prime minister for nine years, the public wants someone else. They have had enough of that same person being PM.
Mulroney was PM for nine years, then stepped down and was replaced. It didn't help, as the Conservatives were destroyed in the 1993 election.
Chretien was PM for nine years, then was replaced by Martin. It didn't help much. The Liberals were reduced to a minority in the 2004 election, and were defeated in the 2006 election.
Harper was PM for nine years. He decided to run again. It didn't work, as the Conservatives were soundly defeated in the 2015 election.
If the next election isn't until 2025, Trudeau will have been PM for ten years at that point. That is past the tedium point at which the public wants a fresh face.
Based on this, Trudeau is toast. The only chance might be if he stabs the NDP in the back and calls an election in 2023, then he might scrape together another minority. But I wouldn't bet on it.
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It's better than that. Everyone has forgotten, but almost exactly a year ago the Ford government announced it had expanded the number of critical care beds in the province from 2,012 up to 3,504.
421 / 3,504 = 12%
But wait, there's more. Supposedly, there were a total of 1,822 patients in Ontario ICUs today.
1,822 / 3,504 = 52%
That would mean nearly HALF of all of the province's ICU beds are unoccupied -- 1,682 to be exact. Unless, that is, the Ford government lied last year when it said it had expanded critical care bed capacity, or it later closed most or all of those added beds without announcing it had done so. In which case:
1,822 / 2,012 = 91%
Even under the province's old (current?) critical care bed count, there'd still be 9% of capacity unoccupied -- 190 beds.
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@icarus9609 What do you make of this Public Health Agency of Canada data published August 6th?
Hospitalization and fatality rate by vaccination status in Canada through July 17th:
Hospitalization Rate
5.06% = unvaccinated (27,941 hospitalizations out of 552,668 cases)
7.47% = not yet protected (2,446/32,715)
8.17% = partially protected (2,327/28,484)
7.73% = fully protected (241/3,119)
Fatality Rate
1.07% = unvaccinated (5,896 deaths out of 552,668 cases)
1.94% = not yet protected (636/32,715)
1.97% = partially protected (561/28,484)
2.85% = fully protected (89/3,119)
Definitions:
Not yet protected = <14 days after 1st dose
Partially protected = 14+ days after 1st dose to <14 days after 2nd dose
Fully protected = 14+ days after 2nd dose
See "Table 2. Characteristics and severe outcomes associated unvaccinated, partially vaccinated and fully vaccinated confirmed cases reported to PHAC, as of July 17, 2021".
health-infobase [dot] canada [dot] ca/covid-19/epidemiological-summary-covid-19-cases [dot] html
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Fun fact, Alex 1: according to the Ontario government's OWN DATA, the case fatality rate for non-LTC cases in the province is actually LOWER in the spring wave than it was in the winter wave. Measuring from six weeks prior to through the 18th day after the active case peak, a total of 61 days in each period.
Nov. 29 - Jan. 29 (active case peak Jan. 11th)
143,569 cases and 1,175 deaths = 0.82% case fatality rate
Mar. 9 - May 8 (active case peak Apr. 20th)
178,943 cases and 1,129 deaths = 0.63%
24.6% more cases in the spring, yet deaths are 3.9% lower, with the case fatality rate being 22.9% lower.
In terms of LTC cases, both the number of cases and deaths are down over 95% in the spring period as compared to the winter. Whether this dramatic reduction is due to herd immunity, vaccinations, better protocols, or something else, I cannot say, but LTCs stopped being an issue by the end of February.
Fun fact #2: if you graph the daily active case count and the 7-day moving average of daily COVID hospitalizations, the two are closely correlated. So when cases started going up in March it should have been clear that hospitalizations would go up as well.
The correlation between ICU hospitalizations and active cases is less strong. The curious thing is that ICU admissions as a share of the active case count is much higher during the spring wave than in the winter, despite LTC cases no longer being a meaningful factor.
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@TheWallygord The 99% survival rate applies to the fully vaccinated, only.
Someone clearly hasn't been keeping tabs on the U.K. data.
U.K. Technical Briefing 19 (see Table 5 on pages 18-19). Delta variant case fatality rate (deaths/cases).
0.01% = partially vaccinated, under 50 (6/48,644)
0.03% = fully vaccinated, under 50 (4/15,346)
0.03% = unvaccinated, under 50 (34/119,063)
1.08% = partially vaccinated, 50 or older (59/5,446)
1.64% = fully vaccinated, 50 or older (220/13,427)
5.61% = unvaccinated, 50 or older (131/2,337)
For comparison's sake, the case fatality rate in Canada for all cases regardless of vaccination status as of July 30th:
0.06% = under 50 years of age (565/991,449)
6.01% = 50 years of age or older (25,941/431,536)
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Let's do some math.
India: 400,000 daily cases out of 1,366,000,000 population = 29.3 per 100,000 (1 out of 3,415)
Canada: 8,347 daily cases out of 37,590,000 population = 22.2 per 100,000 (1 out of 4,503)
Hmmm, not quite the apocalypse Pravda News, er, sorry, Global News, would have you believe.
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@TuneinTurnonGrowup <--- STILL doesn't know how to look up primary source data
Here is the primary source data from Public Health Ontario, covering Jan. 15, 2020, through Nov. 21, 2021:
1 -- yes, ONE -- death attributed to COVID out of 1,078,527 children aged 5-11 in Ontario
One in a million. This is the actual level of risk the "news" media, politicians, public health,and Opposing Star Trails is trying to scare you about.
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@treelineresearch3387 Once the show/movie is made the script is basically worthless
The script is registered for copyright protection before production since it is written before production, sometimes years before. Scripts can circulate for a long time before getting picked up, hence why copyright protection is necessary.
If the characters/setting/lingo came from a pre-existing human-generated work, they're already protected by copyright, trademark, or both
Those individual elements would be subject to copyright protection, but not the writing or the story. The U.S. Copyright Office has already split up such copyright protection. There was a recent case of a graphic novel written by a person but which used AI-generated art. Copyright was granted for the writing but refused for the artwork since it was not human-created. That means anyone can freely use the artwork from that graphic novel.
If the script relies on comedic timing or dramatic style of a performer, you still need a performer with similar skill to replicate it.
That has nothing to do with the script itself and whether it has copyright protection.
Most of all you also need an audience willing to tune in or buy a ticket to see a 3rd party, probably almost always low-budget, clone of something they've already seen, rather than just watching the original.
As before, irrelevant to the matter of copyright protection for the script.
This is such a complete non-issue, not even getting into the aspect of a machine is just going to be fluffing up scripts for writers rather than making them whole cloth.
If too much of a work is AI-generated, it won't be granted copyright protection. Without such protection, making money off that work becomes much harder since now it is no longer exclusive and thus anyone can come along and also use that work.
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@rupertperiwinkle4477 Tell me, of all the kids who get the MMR vaccine, how many of them end up contracting measles, mumps, or Rubella?
Tell me, of all those who get a Hepatitis vaccine, how many end up getting Hepatitis?
Tell me, of all those who get a Meningitis vaccine, how many end up catching Meningitis?
Tell me, of all those who get a tetanus vaccine, how many end up with a case of tetanus?
Tell me, of all those who get the Yellow Fever vaccine, how many end up catching Yellow Fever?
To put it simply, how do these other vaccines compare to the COVID vaccines?
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@stan4457 If Canadians don't like him, how is it that he got elected in the first place?
Trudeau won a majority back in 2015 because the Conservatives had been the government for nine years (two minorities and then a majority), and the electoral history of the country going back to the early 1990s shows that after the same person has been prime minister for nine years, the public wants a change. That is why Harper, the Conservative leader lost in 2015.
Trudeau won re-election in 2019, but was reduced from a solid majority to a minority government, a rare occurrence in Canadian electoral history. He called a new election in the fall of 2021, with the results of that being almost identical to 2019, and another minority government.
There almost certainly would have been a new election by now except that the NDP, one of the opposition parties, entered into a formal alliance with the Liberals to keep Trudeau in power until Sept. 2025. (That Singh, NDP leader, and Trudeau are WEF best buddies I'm sure had nothing to do with that alliance. Nope, nothing at all.)
If there is indeed no new election until 2025, then Trudeau is certainly done, as at that point he will have been prime minister for ten years, and nine years is about all the public can stand of the same leader.
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@rickagfoster Anti-vaxxers must learn that although they are free to be stupid, stupidity is NOT FREE. There's always a cost, and society is paying for theirs.
Public Health Agency of Canada data covering Dec. 14, 2020, through Nov. 27, 2021.
5.66% = hospitalization rate of infected unvaccinated persons (39,967 hosp. out of 705,725 unvaccinated cases)
4.26% = hospitalization rate of infected fully vaccinated persons (3,514 hosp. out of 82,513 fully vaccinated cases)
1.11% = fatality rate of infected unvaccinated persons (7,861 deaths out of 705,725 unvaccinated cases)
1.19% = fatality rate of infected fully vaccinated persons (981 deaths out of 82,513 fully vaccinated cases)
From Dec. 14, 2020, through July 17, 2021 (216 days), fully vaccinated persons made up 0.51% of cases, 0.73% of hospitalizations, and 1.24% of deaths.
From July 18, 2021, through Nov. 27, 2021 (133 days), unvaccinated persons made up 29.85% of cases, 19.51% of hospitalizations, and 28.38% of deaths.
The foregoing is freely and publicly available official government data. Are you not aware of it?
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According to Statistics Canada, from 2000 through 2020, a total of 21 Canadians aged 20-24 died from meningitis. That's an average of 1.0 per year. During the same time period for the same age group, a total of 162 died from influenza and pneumonia (7.7 per year), 166 from diabetes (7.9 per year), 724 from heart diseases (34.5 per year), 1,908 from cancer (90.9 per year), and 6,269 from suicide (298.5 per year).
So, what cause posed the real risk?
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@squidwardshouse67 According to the latest ISS extended report from Italy published Sept. 9, 2022 (page 28), per capita rates of cases, all ages, for Aug. 5 through Sept. 4, 2022:
1,446.5 per 100,000 (zero doses)
1,443.8 per 100,000 (two doses for over 120 days)
1,180.5 per 100,000 (three doses)
In other words, the infection rate for persons who took no doses was 1.45%; for persons who have had two doses for over 120 days it was 1.44%. Almost identical, just one-one hundredth of a percentage point difference. Two doses are no better than zero.
For those who had a third dose, the infection rate was 1.18%. That's just 0.27 percentage points lower. In relative terms, the booster dose only lowered the infection rate by 19% compared to zero doses. Not much of a reduction, is it? Especially for something which has NO long-term data on its safety or efficacy.
This is easily found, freely and publicly available official Italian government data. Are you not aware of it?
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@palco22 The vaccines are to protect our health care system from people like yourself.
Ah, of course, another "Follow the Science!" screamer who is undoubtedly appallingly ignorant of even the most rudimentary of COVID data which is freely and publicly available from the government itself.
Does Philippe know, for example, that according to Public Health Ontario, over the last four weeks (Jan. 17 to Feb. 13) a total of 478 unvaccinated Ontario residents died from COVID as compared to 498 fully vaccinated individuals, 424 fully vaccinated with a booster individuals, and 6 fully vaccinated with two boosters individuals? Of course not.
Does Philippe know that, according to the Public Health Agency of Canada, from Dec. 14, 2020, to Feb. 6, 2022, a total of 2,169 fully vaccinated Canadians and 1,047 fully vaccinated with a booster Canadians died from COVID? Of course not.
Does Philippe know that, according to the Public Health Agency of Canada, from Dec. 14, 2020, to Feb. 6, 2022, the fatality rate by vaccination status was:
0.99% = unvaccinated
1.52% = <14 days after 1st dose
0.98% = 14+ days after 1st dose to <14 days after 2nd dose
0.35% = 14+ days after 2nd dose (to <14 days after a booster shot, if a booster shot had been received)
0.90% = 14+ days after a booster shot.
Of course Philippe doesn't know.
Does Philippe know that, according to the Ontario government's own data, the number of EMPTY beds in ICUs was GREATER THAN the number of ICU beds occupied by COVID patients for 85% of the pandemic? Of course not. Does Philippe know that the LOWEST the percentage of empty ICU beds in the Ontario health care system ever got was 15%? Of course not. (That's right, during the entire pandemic, a minimum of 15% of ICU beds in the province were EMPTY. But the media and politicians kept telling us the system was nearly out of ICU beds.)
Philippe doesn't know these things because he blindly trusts the talking heads on the six o'clock news, and then pats himself on the back for being so well-informed since he religiously watches the six o'clock news. It never occurs to him, evidently, to perhaps look up the government's data for himself, even though that data is freely and publicly available on the internet.
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Data from Italy's latest ISS extended report published Aug. 26, 2022.
Ages 12-39 case rate (July 22-Aug.8)
2,158.0 per 100,000 = zero doses
1,703.8 per 100,000 = two doses for 120 days or less
1,205.6 per 100,000 = two doses for over 120 days
1,759.9 per 100,000 = three doses
Ages 12-39 hospitalization rate (July 8-Aug.7)
27.4 per 100,000 = zero doses
14.5 per 100,000 = two doses for 120 days or less
12.2 per 100,000 = two doses for over 120 days
10.6 per 100,000 = three doses
Ages 12-39 ICU admission rate (July 8-Aug.7)
0.6 per 100,000 = zero doses
0.0 per 100,000 = two doses for 120 days or less
0.4 per 100,000 = two doses for over 120 days
0.4 per 100,000 = three doses
Ages 12-39 loss of life rate (July 1-31)
0.3 per 100,000 = zero doses
0.0 per 100,000 = two doses for 120 days or less
0.1 per 100,000 = two doses for over 120 days
0.1 per 100,000 = three doses
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@toobnoobify As per the Ontario government data published Nov. 14th, here is the per capita rate of COVID infections, hospitalizations, ICU admissions, and deaths, based on the 2019 population estimates:
1 in 24 = infection rate (607,066 cases out of 14,544,718 people)
1 in 471 = hospitalization rate (30,889 total hospitalizations out of 14,544,718 people)
1 in 2,396 = ICU admission rate (6,071 total ICU admissions out of 14,544,718 people)
1 in 1,464 = fatality rate (9,934 total deaths out of 14,544,718 people)
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@chrissignore Sweden is #25 in the world for COVID deaths per capita. Some of the major countries above it: Brazil, Switzerland, Argentina, Mexico, Panama, France, Hungary, Spain, United States, Peru, Bulgaria, United Kingdom, Italy, Belgium.
Compare the government measures imposed in those other countries versus Sweden and then compare the outcomes.
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As usual, Global "News" does NOT provide any comparative data so that viewers can put things into proper context. Ten lives lost? Let's check Statistics Canada's mortality data from 2015-2020. Total number of lives aged 0-14 lost to influenza and pneumonia each year (lives lost to other infectious diseases are not included). In parentheses is the total number of lives lost from all causes.
2015 = 26 (2,412)
2016 = 35 (2,433)
2017 = 32 (2,351)
2018 = 46 (2,433)
2019 = 30 (2,280)
2020 = 19 (2,238)
The 2021 mortality data has not yet been released.
Note that of the 14,147 lives aged 0-14 lost to all causes from 2015-2020, 72.6% of them were under 1 year of age. Of the 188 lives lost to influenza and pneumonia, 61 of them were under 1 year of age.
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Climate change, eh? Then you'd better start screaming at China.
You know, China, the #1 emitter of CO2 in the world.
You know, China, the #1 emitter of CO2 in the world every year since 2005.
You know, China, the country which emitted more CO2 in 2020 than did the next seven nations combined.
You know, China, the country which has emitted more total CO2 since 1990 than has any other nation in the world.
You know, China, the country which already has a per capita rate of CO2 emissions above that of Germany.
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China ranks as the 28th largest CO2 emission per capita country
The top ten nations by total CO2 output in 2021, with its per capita rate of emissions in parentheses:
12,466.32 Mtons ( 8.727) = China
4,752.08 Mtons (14.237) = United States
2,648.78 Mtons ( 1.895) = India
1,942.54 Mtons (13.524) = Russia
1,084.69 Mtons ( 8.601) = Japan
710.83 Mtons ( 8.431) = Iran
665.88 Mtons ( 8.063) = Germany
626.80 Mtons (12.132) = South Korea
602.59 Mtons ( 2.192) = Indonesia
586.40 Mtons (16.629) = Saudi Arabia
If you examine the figures closely, you'll notice that China by itself emitted more CO2 than the next seven nations combined (12,466.32 Mtons by China compared to 12,431.60 Mtons for the next seven nations combined).
You'll also notice that China's per capita rate of CO2 emissions is already larger than that of Germany, Iran, and Japan (the #7, #6, and #5 nations in total CO2 output).
Are you under some misguided notion that China is to be admired for its CO2 output situation?
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Well, as unmanned tests go, it is far more ambitious than any conducted during Apollo.
It launches, enters orbit, does a TLI, travels to the Moon, enters orbit, stays for several orbits, then does a TEI, travels back to Earth, and finally reenters and lands, all entirely unmanned. That's a lot of steps that have to work without error.
The closest thing which comes to mind is the Soviet's launch of the Buran, its version of the space shuttle. It launched, went into orbit, did three orbits, then reentered and landed all entirely under computer control. This was back in 1988. It was a remarkable achievement.
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What Vaccine Save Lies doesn't want to tell you is that the data is out there, published by the government itself, you just have to seek it out for yourself since the officials and news media will never point it out to you.
Start with the "Confirmed Cases of COVID-19 Following Vaccination in Ontario: December 14, 2020 to January 30, 2022" report published by Public Health Ontario. If you compare the totals from that document, and subtract the totals from the preceding report (""Confirmed Cases of COVID-19 Following Vaccination in Ontario: December 14, 2020 to January 16, 2022"), you get the following results:
Over the two-week period from Jan. 17-30, 2022, a total of 307 fully vaccinated persons in Ontario expired from the virus -- the vaccines clearly did not prevent the worst outcome for them. A total of 233 fully vaccinated with a booster persons in Ontario expired from the virus -- even with a booster the vaccines did not prevent the worst outcome for them. That's 540 people in just two weeks, despite full vaccination. During those same two weeks, only 267 unvaccinated people expired.
This is official Ontario government data, freely and publicly available.
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@beefy1212 I have trepidation about watching the video, because I suspect it will repeat the myriad of questionable claims about Dresden that always seem to get mentioned.
The shift from incendiary to explosive starts in the spring of 1944, as control of the strategic bombers was handed over to SHAEF in preparation for D-Day.
433 Squadron began operating at the start of 1944. The most commonly carried bomb load by its Halifax bombers from that start through to its last use of the Halifax in mid-January 1945 was 16 x 500-lb bombs. That load was carried by 35.3% of bombing sorties. The next most frequent load was 9 x 1,000-lb and 4 x 500-lb (11.7% of bombing sorties). All loads involving incendiaries accounted for only 8.6%, with the most frequent being 1 x 2,000-lb bomb and 1,080 x 4-lb incendiaries (4.4%).
433 Squadron started flying the Lancaster at the start of Feb. 1945. For the remainder of the war, loads which included incendiaries accounted for 41.0% of bombing sorties; the other 59% of sorties carried explosive bombs only. (Against Dresden itself, 433 Squadron dispatched 7 Lancasters, all of which carried 1 x 4,000-lb, 5 x 500-lb, and 4 x 250-lb bombs -- no incendiaries were brought by the squadron.)
106 Squadron dispatched 16 Lancasters which attacked Dresden. Five carried 1 x 4,000-lb and 8 x 500-lb, while two carried 1 x 4,000-lb and 11 x 500-lb. Seven carried 1 x 500-lb and 1,650 x 4-lb incendiaries, while two carried 2 x 500-lb and 1,950 x 4-lb incendiaries.
Dresden became a catastrophe for one simple reason: a firestorm was created. Had that not happened, casualties would have been far lower, and the raid on that city would be no more noted than the raid on Chemnitz which occurred the very next night, attacked by nearly as many bombers.
(The three biggest firestorms of the war in terms of casualties: Tokyo in March 1945, Hamburg in July 1943, and Dresden in Feb. 1945.)
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@Dee Richardz What do you make of this Public Health Agency of Canada data published August 6th?
Hospitalization and fatality rate by vaccination status in Canada through July 17th:
Hospitalization Rate
5.06% = unvaccinated (27,941 hospitalizations out of 552,668 cases)
7.47% = not yet protected (2,446/32,715)
8.17% = partially protected (2,327/28,484)
7.73% = fully protected (241/3,119)
Fatality Rate
1.07% = unvaccinated (5,896 deaths out of 552,668 cases)
1.94% = not yet protected (636/32,715)
1.97% = partially protected (561/28,484)
2.85% = fully protected (89/3,119)
Well, isn't that strange? The unvaccinated have the lowest rate of the four groups for both hospitalizations and fatalities.
Definitions:
Not yet protected = <14 days after 1st dose
Partially protected = 14+ days after 1st dose to <14 days after 2nd dose
Fully protected = 14+ days after 2nd dose
See "Table 2. Characteristics and severe outcomes associated unvaccinated, partially vaccinated and fully vaccinated confirmed cases reported to PHAC, as of July 17, 2021".
health-infobase [dot] canada [dot] ca/covid-19/epidemiological-summary-covid-19-cases [dot] html
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@rupertperiwinkle4477 Official Ontario government data as of Jan. 19, 2022:
35,711 total hospitalizations due to COVID out of 963,693 total COVID cases. That's a hospitalization rate of only 3.7%, or 1 in 27. That means 96.3%, or 26 out of 27, of COVID cases were able to recover on their own with no additional medical intervention.
6.851 total ICU admissions due to COVID out of 963,693 total COVID cases. That's a ICU admission rate of only 0.7%, or 1 in 140. That means 99.3%, or 139 out of 140, of COVID cases did not require an ICU visit.
Are you not aware of this freely and publicly available official government data?
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Well, climate experts, if you are so concerned about climate change, when can I expect you to demand harsh sanctions be put on China in order to pressure it to reduce its massive, world-leading amount of CO2 emissions?
You know, China, the #1 emitter of CO2 in the world.
You know, China, the #1 emitter of CO2 in the world for the last 17 years in a row.
You know, China, the country which emitted more CO2 by itself than the next seven nations combined.
You know, China, the country which has emitted more total CO2 since 1990 than any other nation in the world.
You know, China, the country which has a per capita rate of CO2 emissions greater than that of Germany.
You're going to completely ignore China, aren't you?
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@arkcon714 You don't need any study to see the uselessness of masks in stopping COVID. All one needs to do is look at the real-world data.
The City of Toronto has had a mask mandate in place for 493 days, from July 7, 2021, onward. Compliance from the very start has been very high, in the area of 99%. The active case count the day before the mandate started was 546. If masks are in any way effective in limiting transmission in interior public spaces, then it should be seen in the subsequent active case counts.
Here is how the numbers of have looked:
July 7 to Sept. 12 (68 days) = the active case count was lower (avg. value: 310)
Sept. 13 to June 26 (287 days) = the active case count was higher (avg. value; 5,309)
June 27 to Aug. 5 (40 days) = the active case count was lower (avg. value: 350)
Aug. 6 to Oct. 28 (84 days) = the active case count was higher (avg. value: 1,201)
Oct. 29 (1 day) = the active case count was lower (540)
Oct. 30 to Nov. 11 = the active case count was higher (avg. value: 603)
So, in total, masks kept the case count equal to or lower than the starting value on 109 days (22.1% of the time).
The active case count was higher than the starting value on 384 days (77.9% of the time).
At best, there is no correlation between mask mandates and the active case count. But considering that over three-quarters of the time the active case count was higher, one could argue that masks actually correlate to HIGHER case counts.
The useless of the mask mandate in limiting cases in Toronto is even more readily apparent if you graph the data, rather than relying on the raw numbers.
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@TheWallygord Florida has ‘rules’ like that, a main epicentre for Delta deaths.
COVID deaths per capita by state as of August 4th:
300 per 100,000 = New Jersey (#1)
276 per 100,000 = New York (#2)
262 per 100,000 = Massachusetts (#3)
259 per 100,000 = Rhode Island (#4)
255 per 100,000 = Mississippi (#5)
231 per 100,000 = South Dakota (#10)
184 per 100,000 = Texas (#25)
182 per 100,000 = Florida (#26)
Florida is going to have an awful lot more deaths to come anywhere near the body count racked up by Murphy, Cuomo, and Baker.
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"Once you're dead, you're dead."
6,884 = number of Canadians who died from influenza and pneumonia in 2019
12,823 = number of Canadians who died from chronic lower respiratory diseases in 2019
13,658 = number of Canadians who died from cerebrovascular diseases in 2019
13,710 = number of Canadians who died from accidents in 2019
52,532 = number of Canadians who died from heart diseases in 2019
80,148 = number of Canadians who died from cancers in 2019
284,082 = number of Canadians who died from all causes in 2019
22,959 = number of Canadians who died from COVID in 2020-21
Why are COVID deaths the only kind of death that apparently matter to you, Dr. Barrett?
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@michaelwarren202 Nope. If the election is indeed not until Sept. 2025, Trudeau will have been PM for ten years at that point, which is at the recent historical limit of the same guy being prime minister. Mulroney, about 9 years, stepped down, didn't help, Conservatives crushed in election. Chretien, about 9 years, stepped down, didn't help, Liberals reduced to a minority, then defeated in the next election. Harper, about 9 years, ran in the election, defeated solidly.
If that pattern of the last 30 years holds, the Liberals are toast in 2023.
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Approximate yearly fatality rates in Italy according to Italy's ISS extended report data:
Feb. 20, 2020, through Dec. 29, 2020 = 3.45% (70,799 deaths out of 2,049,934 cases)
Dec. 30, 2020, through Dec. 28, 2021 = 1.77% (65,300 deaths out of 3,680,106 cases)
Dec. 29, 2021, through Nov. 9, 2022 = 0.23% (41,188 deaths out of 18,260,930 cases)
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What the "journalists" of Global "News" don't want to tell you:
According to the Ontario government's OWN DATA published Nov. 8th, the per capita rate of COVID hospitalization and COVID death by age group:
0-4 years: 1 in 2,760 hospitalization rate; 1 in 361,508 fatality rate
5-11 years: 1 in 12,541 hospitalization rate; 1 in 1,078,527 fatality rate
12-19 years: 1 in 5,517 hospitalization rate; 1 in 443,160 fatality rate
The chances, according to the Ontario government's data, of a 5-11 year old dying from COVID are literally one in a million.
This is the level of risk the "journalists", or more accurately, the propagandists, at Global "News" are trying to scare the public about.
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"India's COVID crisis"
414,188 = number of new cases on May 6
84,332 = number of new cases on June 11
79.6% = amount of reduction
391,232 = 7-day moving average of new cases on May 8
94,897 = 7-day moving average of new cases on June 11
75.7% = amount of reduction
1,336,000,000 = India's population
29.4 million = total number of cases
27.9 million = total number of recovered cases (94.9% of total cases)
367,000 = total number of deaths
2,152 per 100,000 = per capita number of cases (Canada, 3,723 per 100,000)
27 per 100,000 = per capita number of deaths (Canada, 69 per 100,000)
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@clownplayer7265 No, what people fail to see is that U.S. copyright law, supported by federal court rulings, states clearly that AI-generated works CANNOT be copyrighted. Almost everyone ignores the copyright aspect, which is the biggest impediment to AI.
Without copyright protection, an AI-created work is effectively in the public domain, meaning anyone can take that work and distribute it, edit it, even sell it, without penalty.
AI-generated works cannot be copyrighted unless that AI work was substantially transformed by a human. Such transformation would require much more than just rewriting a few lines. And even then, only the changes made by a human can be copyrighted; the remainder of the work, having been created by a machine and not a person, cannot. That means the only way an AI-created story could be fully copyrighted is if a human rewrote every single sentence.
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I remember a documentary where it showed you what the RAF did, 1st they used blast bombs to break most of the windows in the given area, 2nd They used the Cookies to put craters in the roads to impede emergency services 3rd,Then they would drop the incendiaries to cause fires and storms through the increased airflow through the broken windows.
Yes, the Operational Research Section did much to determine the most effective way to spread fire, and worked out what you mentioned. (We should remember that fire is an excellent tool for destroying infrastructure.) The ORS also figured out that the 30-lb incendiary bomb was not as efficient a weapon as the 4-lb, which is why the 30-lb incendiary was discontinued as a weapon.
That said, the idea that all Bomber Command did was area raids on German cities using incendiary bombs is wrong. In reality the RAF went after plenty of other targets (with varying degrees of success). The peak year for incendiary bomb usage by the RAF, both in terms of tonnage and percentage of total bombs dropped, was 1943. Typical bomb loads changed considerably in 1944, with high explosives accounting for the vast majority of the loads, and fire-raising raids comprising a much smaller proportion of missions. In 1945, the RAF actually dropped more tons of bombs on oil targets than did the 8th Air Force.
There is a lot to the subject of the Strategic Bomber Offensive. It's a more complex matter than many realize.
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Current COVID deaths per capita top five ranking for the pandemic as of May 18th according to federal government data:
#1 = Quebec, 129 per 100,000
#2 = Manitoba, 73 per 100,000
#3 = Ontario, 58 per 100,000
#4 = Alberta, 49 per 100,000
#5 = Saskatchewan, 44 per 100,000
Quebec's population-adjusted COVID fatality rate is 1.78 times higher than the second-place Manitoba, and 2.22 times higher than third-place Ontario.
That's how disastrously bad Legault's handing of the virus was last year. And it seems everyone in Quebec has completely forgotten.
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@Trythis837 The PHAC data published Nov. 19th, covering Dec. 14, 2020, to Oct. 20, 2021:
5.46% = hospitalization rate for infected unvaccinated cases (1 in 24)
4.22% = hospitalization rate for infected fully vaccinated cases (1 in 18)
1.09% = fatality rate for infected unvaccinated cases (1 in 92)
1.26% = fatality rate for infected fully vaccinated cases (1 in 80)
Unfortunately, the PHAC data does not break out the results by age group. Ontario data does, but the numbers involved are naturally quite small for some age groups.
(Italy publishes age data, although the age groups are fairly broad. They have, however, started including additional vaccination status categories, which should prove to be very interesting to view over the next few weeks as the data fills in.)
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@visforvendetta1326 Because young people can still transmit the virus to their parents and grand parents.
Unless those parents are 60 years of age or older, they too are at minimal risk. Few parents of a 19-year-old are going to be 60 or older.
99.94% = survival/recovery rate for cases aged 30-39 in Canada
99.86% = survival/recovery rate for cases aged 40-49 in Canada
99.55% = survival/recovery rate for cases aged 50-59 in Canada
1 in 41,490 per capita risk of death for someone aged 30-39 in Canada
1 in 16,450 per capita risk of death for someone aged 40-49 in Canada
1 in 5,889 per capita risk of death for someone aged 50-59 in Canada
And that's not even taking into consideration that those of younger ages do NOT spread the virus to any meaningful degree, as multiple studies from multiple jurisdictions have repeatedly shown.
Herd immunity isn't reached if you only vaccinate a small portion of the population.
(1) Why are you ignoring natural immunity from having already had COVID?
(2) It is those aged 70 or older who are most at risk. Those aged 70 or older are 12.0% of the population and 9.4% of cases but are 85.5% of the deaths. To have the greatest impact on lowering mortality numbers would be to fully vaccinate those 70 and older -- this would require 9 million doses.
If you want to be conservative, then follow up by fully vaccinating those aged 60-69 years (12.3% of the population, 8.1% of cases, 9.1% of deaths). To fully vaccinate this cohort would require 9.2 million doses.
Those under 60 are 75.8% of the population and 82.5% of cases but are just 5.4% of deaths. Vaccinating anyone under 60, and especially under 20, is a waste of resources that would do more good given to higher-risk age groups first.
There is also the point that there is NO data on the long-term health effects any of the COVID vaccines might have on recipients under 20 years of age.
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TIK, I suspect I will have much to say after I've watched the video. But from first checking your sources, I notice there is nothing there that talks about Bomber Command's previous raids (e.g. The Bomber Command War Diaries by Martin Middlebrook or Chris Everitt), or books which discuss why Bomber Command operated the way it did, or primary source documents (e.g. the squadron ORBs) which show the bomb loads actually carried operationally.
Such sources are critical in putting the aerial bombing campaign into proper context.
Many seem to think all Bomber Command did was nighttime incendiary area raids of German cities, but the reality is different. The peak year for incendiary bomb usage, both in terms of total tonnage dropped and as a percentage of all bombs dropped, was 1943. There is a definite shift in typical bomb loads in the first quarter of 1944, and incendiary raids go from being common in 1943 to being infrequent in latter 1944 and 1945. Other targets, and high explosive bombs, take precedence. For example, Bomber Command actually dropped more tons of bombs on oil targets in 1945 than did the USAAF.
The air war, just like the ground war, is a complex topic, with many interrelated factors.
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@Thatanonguyintheback The modelling from just TWO WEEKS AGO, the modelling which prompted Ford to do a new lockdown, was predicting that today, under BEST CASE scenarios, there'd be some 7,500 new cases a day.
So what was the actual new case count today? HALF that amount.
The modelling's best case prediction was beaten by reality by a factor of two. That's not just bad modelling, but spectacularly bad.
Of course, anyone who bothered to look at the actual data would have known such case projections were nonsense. COVID, like its fellow respiratory viruses, is seasonal, and just like last April. cases were sure to peak in late April and begin falling.
And that's exactly what happened, at nearly the exact same time as last year.
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@neveranamericanstate They said the same in Ontario. Turns out THE GOVERNMENT'S OWN DATA showed that wasn't true.
In fact, even when hospitalizations were at their highest in Ontario, over 15% of the ICU beds in the province were UNOCCUPIED.
Moreover, there is the case of the missing 1,000+ ICU beds in Ontario. The Ford government in April of 2020 said it had raised the provincial total to 3,504. Yet the bed census data consistently showed fewer than 2,500 ICU beds in the province.
Where did the other 1,000+ beds go the government said had been created to handle any COVID scenario?
Do you honestly think the Manitoba government is any more honest or trustworthy than the government of Ontario?
If you want to know what's really going on with COVID, stop watching the six o'clock news. Instead, go directly to the source data and examine it for yourself.
If you do, you will discover that what that source data says - THE GOVERNMENT'S OWN DATA -- is quite different from what the news media, politicians, and public health officials say it says.
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@owenorourke2527 You do know you can look up the rate of usage of ICU beds in Ontario, right? It's right there on the Ontario government's virus information website. Do you think the only place to get data is from the six o'clock news?
There's this thing called the internet. It allows you to go directly to the source data and examine it for yourself.
Do a search for the phrase "Graphs and tables of COVID-19 hospitalization data by status, location and number of people in the ICU" and the government page should be the top result. (I cannot post anything even remotely resembling a link as it results in the comment being auto-deleted.)
Scroll down to the "Availability of adult ICU beds" section. Select "All time" from the drop-down menu to display the availability data for the entire pandemic. You can also click the "Table" option to display the data in numerical rather than graphical form. If you look over the results, you will find that for the entire pandemic there was ALWAYS plenty of available ICU capacity in the province. And yet the politicians and public "health" officials and "journalists" said the opposite, despite that data.
It's amazing what you can learn WHEN YOU LOOK UP THE DATA FOR YOURSELF instead of relying on the "news" media.
246 = number of C-19 patients in ICUs on May 3, 2020 (spring peak) -- 555 ICU beds were EMPTY (27.6% of total beds)
421 = number of C-19 patients in ICUs on Jan. 16, 2021 (winter peak) -- 324 ICU beds were EMPTY (15.2% of total beds)
889 = number of C-19 patients in ICUs on May 1, 2021 (spring peak) -- 368 ICU beds were EMPTY (15.7% of total beds)
615 = number of C-19 patients in ICUs on Jan. 25, 2022 (winter peak) -- 453 ICU beds were EMPTY (19.3% of total beds)
What you need to understand is that the "news" media is LYING to you. The politicians are LYING to you. AND THE GOVERNMENT'S OWN DATA SHOWS IT. But you have to look at the source data for yourself to realize this. They are counting on people not looking up the data for themselves.
Doug Ford himself spouted a big lie that, curiously, no one in public health nor the media has talked about. Way back on April 16, 2020, the Ford government put out a press release stating that the number of critical care beds in the province had been raised to 3,504, up from the 2,012 that had existed previously. But if you look at the total number of ICU beds from the Ontario government's own data, it never went above 2,554. So what happened to those other 950 ICU beds the premier said had been created to handle any COVID scenario?
Apparently, these 950 additional beds only ever existed on paper. Ford LIED.
The press release is still available online. Do a search with the phrase "Ontario Significantly Expands Hospital Capacity to Prepare" and the press release should be the top result. (I cannot post anything even remotely resembling a link as it results in the comment being auto-deleted.)
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@LesliePeter _Isn't the COP26 trying to bring G7 countries together
because they still have NOT taken any action towards Climate Change?_
Someone should look at the EDGAR database. 1990 vs. 2020 emissions of CO2 in Mtons:
5,067.50 vs. 4,535.30 = United States (-10.50%)
1,162.69 vs. 1,061.77 = Japan (-8.68%)
1,018.99 vs. 636.88 = Germany (-37.50%)
385.48 vs. 279.99 = France (-27.37%)
587.94 vs. 313.73 = U.K. (-46.64%)
430.45 vs. 297.35 = Italy (-30.92%)
435.60 vs. 542.79 = Canada (+19.67%)
The only G7 nation whose CO2 emissions in 2020 were NOT below its 1990 amount was Canada, which saw its emissions increase by nearly 20% compared to thirty years prior.
Now contrast that a certain other nation:
2,425.65 vs. 11,680.42 = China (4.815 times larger)
China's emissions have nearly quintupled over the last 30 years while that of European Union nations have fallen by 31% (3,818.27 vs. 2,621.85). Even the United States has seen a decline versus its 1990 total.
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"Overwhelmed hospitals"
Federal government data through Sept. 27th on the number of people hospitalized in Canada due to COVID:
4,049 = Jan. 11, 2021 (peak value for the pandemic)
3,257 = Apr. 20, 2021 (80.4% -- four-fifths -- of the pandemic peak)
1,721 = Sept. 27, 2021 (42.5% -- two-fifths -- of the pandemic peak)
Federal government data through Sept. 27th on the number of people in ICUs in Canada due to COVID:
903 = Jan. 13, 2021
1,387 = May 1, 2021 (peak value for pandemic)
751 = Sept. 27, 2021 (54.1% -- just over half -- of the pandemic peak)
Based on this freely and publicly available official data, it would seem the Canadian Medical Association, Canadian Nurses Association, and Global "News" are all LYING about there being a crisis.
How can there be a crisis now when the number of hospitalized COVID cases is only two-fifths that of the peak hit in January and ICU admissions are just over half of the peak hit in the spring?
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@josephsmith594 I’m getting my bivalent COVID booster today.
Joseph Smith has obviously never looked at any of the data for himself. I'm feeling magnanimous, so I'll post official data from Italy as documented in its most recent ISS extended report published Dec. 16, 2022 (Table 6 on page 29).
Per capita (per 100,000 population) rates of COVID cases by age group and vaccination status for the period of Nov. 11 through Dec. 11, 2022. The order of the numbers is: 0 doses --- 1-2 doses --- 3 doses --- 4 doses for 120 days or less --- 4 doses for over 120 days.
12-39 years = 990.8 --- 936.6 --- 1293.9 --- n/a --- n/a
40-59 years = 1172.5 --- 1584.9 --- 1902.7 --- n/a --- n/a
60-79 years = 1831.4 --- 2126.8 --- 1872.2 --- 1460.3 --- n/a
80+ years = 3290.7 --- 1139.1 --- 1785.1 --- 1274.0 --- 2858.7
So, in those aged 40-79 years of age who had 1 or more doses, they had HIGHER rates of COVID infection than those with no doses. Wow, what a vaccine! It is producing WORSE results for those who take it as opposed to those who don't.
For those aged 12-39, there was a slight reduction (5.5%) in case rate for those with 1-2 doses, but HIGHER rates in those who had 3 doses.
The only age group for which COVID vaccinations produced a meaningful reduction in case rates was those aged 80 or older. For everyone else the "vaccines" are worthless.
But, Joseph Smith and others might say, the vaccines aren't about preventing infections (in which case they are not vaccines, but let's leave aside that point), they are about preventing hospitalization and worse outcomes. The ISS data shows they aren't great at that either.
For example, for those aged 12-39:
8.1 per 100,000 rate of hospitalization for those with 0 doses versus 4.3 for 1-2 doses and 4.8 for 3 doses.
Strictly speaking, that's a 47% and 41% reduction, respectively. But the unvaccinated rate of hospitalization is already so low (8.1 per 100,000 equals 0.0081% or 1 in 12,345) that the reduction from doses has little meaningful impact.
This is all from publicly available official Italian data. The ISS extended reports have been produced weekly since April of 2020; vaccination data started being reported about a year ago.
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Federal government data through Sept. 27th on the number of people hospitalized in Canada due to COVID:
4,049 = Jan. 11, 2021 (peak value for the pandemic)
3,257 = Apr. 20, 2021 (80.4% -- four-fifths -- of the pandemic peak)
1,721 = Sept. 27, 2021 (42.5% -- two-fifths -- of the pandemic peak)
Federal government data through Sept. 27th on the number of people in ICUs in Canada due to COVID:
903 = Jan. 13, 2021
1,387 = May 1, 2021 (peak value for pandemic)
751 = Sept. 27, 2021 (54.1% -- just over half -- of the pandemic peak)
Where is this alleged crisis? Hospitalizations are two-fifths of the peak hit in January and ICU admissions are just over half the peak hit in the spring.
Based on this freely and publicly available official data, it would seem the Canadian Medical Association, Canadian Nurses Association, and Global "News" are all LYING about there being a crisis.
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@ChromeMan04 Lol no they are not.
Someone hasn't been looking at the freely and publicly available official Public Health Ontario data for themselves. For the period of Jan. 17-July 4, 2022:
28.11% of hospitalizations due to being infected by the virus had 0 doses (3,884 out of 13,819 total hospitalizations)
3.15% of hospitalizations due to being infected by the virus had 1 dose (435 out of 13,819 total hospitalizations)
30.22% of hospitalizations due to being infected by the virus had 2 doses (4,176 out of 13,819 total hospitalizations)
34.06% of hospitalizations due to being infected by the virus had 3 doses (4,707 out of 13,819 total hospitalizations)
4.46% of hospitalizations due to being infected by the virus had 4 doses (617 out of 13,819 total hospitalizations)
So, there were 9,500 hospitalizations of persons who had 2, 3, or 4 doses out of a total of 13,819 total hospitalizations. That's 68.75% of the total.
Last I checked, 68.75% is quite a bit larger than 28.11%. It's a solid majority of the total, in fact.
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@Vertze Vaccine doesn't make you 100% immune, but it does help to manage the symptoms and keep you out of the hospital.
Not really. According to the freely and publicly available official Public Health Agency of Canada data for Dec. 14, 2020, through June 26, 2022:
5.50% = hospitalization rate of persons with 0 doses
2.68% = hospitalization rate of persons with 2 doses
5.08% = hospitalization rate of persons with 3 doses
5.52% = hospitalization rate of persons with 4 doses
So, 2 doses only reduced the hospitalization rate by 2.82 percentage points compared to 0 doses; not exactly a huge reduction. Your chances of ending up in hospital from the virus were already low even with no doses.
Notice too how the booster doses have a HIGHER rate of hospitalization than that of just 2 doses.
And how do the doses compare in terms of preventing the worst outcome of all (i.e. losing one's life)? According to the freely and publicly available official Public Health Agency of Canada data for Dec. 14, 2020, through June 26, 2022:
1.07% = lost life rate of persons with 0 doses
0.46% = lost life rate of persons with 2 doses
1.06% = lost life rate of persons with 3 doses
1.87% = lost life rate of persons with 4 doses
Having 2 doses reduced one's chance of the worst outcome by only 0.61 percentage points, a tiny difference. And, as with hospitalizations, the booster doses had a HIGHER rate than only 2 doses, with the rate for 3 doses being nearly identical to 0 doses, and higher rate for 4 doses than 0 doses.
I really wish people would stop getting their information from the talking heads on the six o'clock news and instead look up the government's own data for themselves. What that source data shows is quite different from what the "news" media and public "health" officials say the data shows.
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Well, then the UN should start screaming at China.
You know, China, the #1 emitter of CO2 in the world.
You know, China, the #1 emitter of CO2 in the world every year since 2005.
You know, China, the country which emitted by itself more CO2 in 2020 than did the next seven nations combined.
You know, China, the country which has emitted more total CO2 since 1990 than has any other nation.
You're not going to mention China at all, are you?
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Interesting data point about B.C. It's COVID loss of life rate in 2022 is almost as bad as 2020's, which is unlike most other provinces.
BC, 2020 = 1.71%
BC, 2021 = 0.74%
BC, 2022 = 1.63% (through Oct. 29)
AB, 2020 = 1.02%
AB, 2021 = 0.84%
AB, 2022 = 0.71% (through Oct. 29)
ON, 2020 = 2.51%
ON, 2021 = 0.95%
ON, 2022 = 0.64% (through Oct. 29)
QC, 2020 = 4.05%
QC, 2021 = 0.82%
QC, 2022 = 0.86% (through Oct. 29)
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Hey, Greta, when are you going to start pointing fingers at China?
You know, China, the #1 emitter of CO2 in the world.
You know, China, the #1 emitter of CO2 in the world every year since 2005.
You know, China, which emitted more CO2 by itself than the next five nations combined.
You know, China, which emitted more CO2 in the last 15 years than the U.S. over the last 25.
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@fadetoblond Well, where is coverage of Ray Epps, who is on video encouraging people to storm the Capitol Building, yet who has still not yet been arrested? Where is the coverage of the videos showing security personnel opening the doors and letting people walk right in? Where is the coverage of the officer who shot Ashli Babbitt, an officer, by the way, who left his firearm in a washroom in an earlier incident of incompetence? Where is the investigation of the media's and officials' story about Brian Sicknick, which claimed he had been killed by Jan. 6th protestors, a claim which was a flat-out lie?
And that's just Jan. 6th misinformation. How about the two years of misinformation and outright lies told by Global "News" in regards to COVID? Supposedly professional journalists who, it seems, were utterly incapable of looking up for themselves the government's own freely and publicly available data, data which contradicted the claims of public "health" officials.
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"So men all disappear and suddenly we're living in a dystopia with no water, no power, no food and absolutely abject poverty and chaos?"
The person who wrote the above has evidently never looked at just who works in power stations, repairs electrical transmission lines, maintains sewers, works in water reclamation plants, provides law enforcement, etc.
From the U.S. Bureau of Labor Statistics:
71.7% men = production occupations
75.9% men = farming, fishing, and forestry occupations
76.4% men = protective service occupations
79.5% men = transportation and material moving occupations
95.9% men = installation, maintenance, and repair occupations
96.0% men = construction and extraction occupations
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"Well, COVID doesn't scare the public anymore. What do we do now?"
"I have an idea."
"Okay, let's hear it."
"It's a little out there."
"Spill it."
"A balloon."
"A balloon?"
"Yes."
"Have you lost your mind? A stupid balloon?"
"Oh, but this won't be any ordinary balloon. No, this will be scary SPY BALLOON! An evil, floating, almost unreachable SPY BALLOON OF SPYING! Think of the possibilities! It's up there, floating, going over everyone's heads, spying on everyone, watching everything you do and spotting our nation's most secret secrets!. But maybe it's even worse. It could be carrying bioweapons! Just up there, floating, ready to unleash DEATH on everyone! Think, just think, of all the ways we could scare the public!"
"You know, that's just so dumb it might work."
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"India's COVID crisis"
414,188 = number of new cases on May 6
84,332 = number of new cases on June 11
79.6% = amount of reduction
391,232 = 7-day moving average of new cases on May 8
94,897 = 7-day moving average of new cases on June 11
75.7% = amount of reduction
1,336,000,000 = India's population
29.4 million = total number of cases
27.9 million = total number of recovered cases (94.9% of total cases)
367,000 = total number of deaths
2,152 per 100,000 = per capita number of cases (Canada, 3,723 per 100,000)
27 per 100,000 = per capita number of deaths (Canada, 69 per 100,000)
The above data shows you just how bad Global News is at its job. The above figures are found with just a few minutes of internet searching, something which the "journalists" at Global News appear utterly incapable of doing.
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All figures are from Statistics Canada and the federal government.
15,741 = number of COVID deaths in Canada in 2020
7,333 = annual average number of influenza and pneumonia deaths in Canada from 2015-2019
15741 / 7333 = 2.15
COVID in Canada is only twice as bad as an average influenza and pneumonia year. Is that sufficient to warrant the kind of restrictions that have been imposed on the public?
Where COVID would place among the top five causes of death in Canada in 2019:
80,148 = cancers
52,532 = heart diseases
15,741 = COVID in 2020
13,710 = accidents
13,658 = cerebrovascular diseases
12,823 = chronic lower respiratory diseases
For a virus that some touted to be the return of Spanish Flu, it only exceeded the death toll from accidents by 15%, and is less than one-third of that heart diseases and less than one-fifth that of cancer.
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Well, if you are concerned about climate change, then you'd better start screaming at China.
You know, China, the #1 emitter of CO2 in the world.
You know, China, the #1 emitter of CO2 in the world every year since 2005.
You know, China, the nation which emitted more CO2 by itself in 2020 than did the next seven countries combined.
You know, China, the nation which has emitted more total CO2 since 1990 than any other country in the world.
You know, China, the nation which as a per capita rate of CO2 emissions already larger than Germany's.
It's odd how climate activists never single out China despite the preeminent role it plays in CO2 emissions.
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5-year-olds are at a nearly zero risk from COVID. The data was always absolutely clear on this.
According to the data in Italy's ISS extended reports -- and Italy was a hard-hit country -- for the first year of the outbreak (Feb. 20 through Dec. 29, 2020) the numbers were:
0-9 years of age = 78,664 cases and 9 deaths
That's a case fatality rate of 0.011% (1 in 8,740). Which means the survival rate was 99.989%.
There were 5,090,482 people aged 0-9 years in Italy in 2019. That means on a per capita basis:
1 in 65 became a case
1 in 565,609 died
Those aged 0-9 comprised 8.43% of the population, 3.84% of the cases, and just 0.013% of the lives lost. In contrast, those aged 70 or older comprised 17.05% of the population, 18.54% of the cases, and 85.88% of the deaths.
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The better observation is this: If climate change is such a pressing issue demanding action, why is China never mentioned?
You know, China, the #1 emitter of CO2 in the world.
You know, China, the #1 emitter of CO2 in the world for the last 17 years in a row.
You know, China, the country which pumped out more CO2 by itself in 2021 than did the next 7 nations combined.
You know, China, the country which has emitted more total CO2 since 1990 than any other nation in the world.
You know, China, the country whose per capita rate of CO2 emissions is already larger than that of Germany.
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@ImproveYourMagic Per capita amounts don't fill up the atmosphere, raw totals do. China wins on the raw total amount. The top ten nations in greenhouse gas emissions in 2022 according to the EU's EDGAR database.
1 = China -- 15,684.63 Mtons (29.2% of global total) -- per capita, 10.95
2 = United States -- 6,017.44 Mtons (11.2%) -- per capita, 17.90
3 = India -- 3,943.26 Mtons (7.3%) -- per capita, 2.79
4 = Russia -- 2,579.80 Mtons (4.8%) -- per capita, 17.99
5 = Brazil -- 1,310.50 Mtons (2.4%) -- per capita, 6.05
6 = Indonesia -- 1,240.83 Mtons (2.3%) -- per capita, 4.47
7 = Japan -- 1,182.77 Mtons (2.2%) -- per capita, 9.41
8 = Iran -- 951.98 Mtons (1.8%) -- per capita, 11.20
9 = Mexico -- 819.87 Mtons (1.5%) -- per capita, 5.99
10 = Saudi Arabia -- 810.51 Mtons (1.5%) -- per capita, 22.64
China emitted more greenhouse gases (GHG) by itself (15,684.63) than did the next FIVE NATIONS COMBINED (15,091.84).
China's per capita rate of GHG emissions (10.95) was already greater than that of the UK (6.27), France (6.50), the EU27 (8.09), Japan (9.41), and Germany (9.49).
Total GHG emissions over the last 32 years (1991-2022):
China = 303,104.61 Mtons (21.9% of the global total)
U.S.A. = 209,978.84 Mtons (15.2% of the global total)
EU27 = 137,310.07 Mtons (9.9% of the global total)
In 2020, China's GHG emissions were 14,879.56 Mtons; in 2022, its emissions were 15,684.63 Mtons. That's an increase of 805.07 Mtons. Canada's GHG emissions in 2022 were 756.81 Mtons. That means China's INCREASE in GHG emissions over those two years was 6.4% larger than Canada's total emissions in 2022. Canada could reduce its GHG emissions to zero tomorrow and China would wipe out that reduction in just two years.
But, yes, keep excusing China's massive role in climate change.
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Endemic or not, it is no longer a serious threat in developed countries.
It was NEVER a serious threat to the general population in any developed country. The people most at risk from COVID are the exact same ones most at risk from plain old influenza and pneumonia: the elderly.
Through April 16, 2020, just two months into the pandemic, Italy had recorded 19,994 deaths from COVID, of which 83.67% were 70+ years of age.
19 months later, through Nov. 17, 2021, with a total of 132,342 deaths from COVID recorded, what's the percentage which were 70+ years of age? 84.64%.
Almost identical percentages.
COVID was -- and still is -- mostly a disease which affects the elderly.
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@creamcheesefilling9280 Crude infection rate by age and vaccination status according to Italy's ISS/Epicentro extended reports. Cases for the period of Dec. 24, 2020, to Jan. 23, 2022; vaccination status numbers as of Dec. 25, 2021.
12-39 years of age
12.51% = unvaccinated (327,894 cases out of 2,620,336 unvaccinated people in the age group)
8.88% = partially vaccinated (73,810 / 831,019)
7.32% = fully vaccinated for 120 days or less (462,197 / 6,318,102)
10.75% = fully vaccinated for more than 120 days (711,717 / 6,618,448)
11.36% = fully vaccinated with a booster (117,864 / 1,037,127)
Real-world data. Not much preventative benefit of the vaccines in this age group, is there? And those with a booster shot actually had a slightly higher infection rate that those fully vaccinated without a booster shot.
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It's better than that. Everyone has forgotten, but almost exactly a year ago the Ford government announced it had expanded the number of critical care beds in the province from 2,012 up to 3,504.
421 / 3,504 = 12%
But wait, there's more. Supposedly, there were a total of 1,822 patients in Ontario ICUs today.
1,822 / 3,504 = 52%
That would mean nearly HALF of all of the province's ICU beds are unoccupied -- 1,682 to be exact.
Unless, that is, the Ford government lied last year when it said it had expanded critical care bed capacity, or it later closed most or all of those added beds without announcing it had done so. In which case:
1,822 / 2,012 = 91%
Even under the province's old (current?) critical care bed count, there'd still be 9% of capacity unoccupied -- 190 beds.
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@alcazar777 No one has attempted a manned landing since 1972. The Soviets were still considering a manned landing, but after its N1 booster blew up in 1972, they finally shelved their plans. (The N1 booster failed all four of its launch attempts -- twice in 1969, once in 1971, and once in 1972.)
Unmanned missions have been done multiple times since Apollo 17. The Soviet Luna 21 mission landed a robotic rover on the Moon in 1973. In 1976 the Soviet Luna 24 mission landed successfully on the Moon, took samples of the lunar soil, and returned them to the Earth. (China accomplished the same feat in 2020.) The 'modern' era of unmanned lunar missions started in 1990. The countries flying such missions were primarily the United States, China, and India.
That you are evidently unaware of such missions does not mean they didn't happen.
After Apollo 17, interest in lunar missions had faded in the U.S. and the political will to keep funding the expensive manned program likewise faded. Hence why Apollo 18, 19, and 20 were cancelled. The Space Shuttle was already being developed, though as it happened, progress was slow and it didn't fly until 1981.
It is irritating how people don't really research the topic despite living in the internet age. So much of the historical documents have been digitized and made publicly available, yet the doubters don't even bother looking for them. They just engage in the most atrocious of "reasoning" to support their doubting.
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@DARWINZOO Well, given your apparent concern for climate change, when can I expect you to start screaming at China?
You know, China, the #1 emitter of CO2 in the world.
You know, China, the #1 emitter of CO2 in the world every year since 2005.
You know, China, the country which emitted more CO2 in 2020 than did the next seven nations combined.
You know, China, the country which has emitted more total CO2 since 1990 than any other nation in the world.
You know, China, the country which emitted more CO2 over the last 16 years than has the United States over the last 28.
You know, China, the country which has a per capita rate of CO2 emissions already greater than Germany's.
When will you be demanding sanctions be placed on China in order to pressure it to reduce its massive, world-leading about of CO2 emissions?
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Ball bearing plants are highly resistant to damage from Arial bombardment.
Part of that is because the U.S. mostly used the 500-lb bomb, which wasn't really of enough destructive power to wreck large industrial machines. The heaviest bomb American bombers could drop was 2,000 lbs; carrying those would significantly lower the number of bombs that could be dropped on any given raid.
Bomber Command aircraft regularly carried 4,000-lb bombs, and later 8,000-lb and 12,000-lb blast bombs. The internal bomb load of RAF bombers was also considerably larger than their American counterparts. (Effectively, U.S bombers traded bomb load for defense.)
Populations subjected to indiscriminate aerial bombardment, a war crime, will not rise up against their government.
And yet the destruction of Hamburg in July 1943 had an enormous psychological impact on Germany. Several of its key leaders thought that if a similar level of destruction could be wrought on another half-dozen or so German cities soon after, it would indeed knock Germany out of the war. The problem was Bomber Command did not have that capability. The destruction of Hamburg was caused by the freak occurrence of a firestorm, and those could not be created on command.
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From the U.S. Copyright Office regarding current copyright protection length:
The term of copyright for a particular work depends on several factors, including whether it has been published, and, if so, the date of first publication. As a general rule, for works created after January 1, 1978, copyright protection lasts for the life of the author plus an additional 70 years. For an anonymous work, a pseudonymous work, or a work made for hire, the copyright endures for a term of 95 years from the year of its first publication or a term of 120 years from the year of its creation, whichever expires first. For works first published prior to 1978, the term will vary depending on several factors.
Under 1909 U.S. copyright legislation, protection lasted a fixed length of 28 years. A work's copyright could be extended once with an additional 28-year term if the copyright was renewed.
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@pebo8306 Aside from the Bf-110 there were their Ju-88 buddies and the Me-410's,and the 262's,plus all that ordinary fighters who flew"Wilde Sau"Add to that deadly accurate radar-guided flak!
Unless, of course, the radar is jammed by Window/chaff, Carpet, Piperack, Mandrel, or Shiver; the night-fighter direction radio comms jammed by Airborne Cigar, Jostle, or Tinsel; and the night-fighters shot down by Intruders or their bases subjected to Firebash attacks.
The reason the B-29s flew low over Tokyo was because the Japanese night defences were not good at lower altitudes, and it allowed the B-29s to carry greater payloads. Over Germany, that would not have been required. The RAF was able to (sometimes) do quite effective fire-raising raids from 20,000-foot altitudes. Had the B-29s been used over Europe, even the most distant German targets would have been well within its range, so high altitude raids would have been carried out.
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@Boxmediaphile The reason for the switch in tactics came down to the fact that conventional high-altitude daytime raids aimed at industrial complexes were not achieving the desired results as they had over Germany. The jetstream winds at those altitudes caused significant reductions in accuracy, and the B-29s were operating at close to their limits. Washington was impatient for results, so Gen. LeMay switched tactics.
He reasoned the mostly wooden cities of Japan would burn more readily than had those of Germany; the more dispersed nature of Japanese industry would be impacted by wider spread, general damage to the target area; and by bombing from a lower altitude in nighttime, the strain put on the B-29s would be reduced and they could carry a larger bomb load. To facilitate that last point, LeMay had the B-29s stripped of their defensive armament, other than the tail guns, to lighten the aircraft.
The first mission under the new tactics was the raid on Tokyo. The crews, without most of their defensive guns and flying much lower than had been the case, expected to suffer heavy losses.
It turned out the March 30-31 raid succeeded beyond anyone's expectations. Aircraft losses were few, and the bombing caused the creation of a firestorm, which is why the casualty total in the city was so high, estimated to be about 100,000. It was the single-most devastating raid on a city in WWII, with the casualty total exceeding even those of the atomic bombs.
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@barryon8706 Well, that's great, I posted a reply to your question and YouTube ate it. Thanks, YouTube.
Trying again: from the U.S. Copyright Office's updated guidelines:
When an AI technology determines the expressive elements of its output, the generated material is not the product of human authorship. As a result, that material is not protected by copyright and must be disclaimed in a registration application.
In other cases, however, a work containing AI-generated material will also contain sufficient human authorship to support a copyright claim. For example, a human may select or arrange AI-generated material in a sufficiently creative way that “the resulting work as a whole constitutes an original work of authorship.” Or an artist may modify material originally generated by AI technology to such a degree that the modifications meet the standard for copyright protection. In these cases, copyright will only protect the human-authored aspects of the work, which are “independent of” and do “not affect” the copyright status of the AI-generated material itself.
Note that last sentence.
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@peter12246 Public Health Agency of Canada data published yesterday (August 6th):
Hospitalization Rate
5.06% = unvaccinated (27,941 hospitalizations out of 552,668 cases)
7.47% = not yet protected (2,446/32,751)
8.17% = partially protected (2,327/28,484)
7.73% = fully protected (241/3,119)
Unvaccinated individuals have the lowest rate of hospitalization of the four groups.
Fatality Rate
1.07% = unvaccinated (5,896 deaths out of 552,668 cases)
1.94% = not yet protected (636/32,751)
1.97% = partially protected (561/28,484)
2.85% = fully protected (89/3,119)
Unvaccinated individuals once again have the lowest rate of the four groups.
Definitions:
Not yet protected = <14 days after 1st dose
Partially protected = 14+ days after 1st dose to <14 days after 2nd dose
Fully protected = 14+ days after 2nd dose
See "Table 2. Characteristics and severe outcomes associated unvaccinated, partially vaccinated and fully vaccinated confirmed cases reported to PHAC, as of July 17, 2021".
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He is, but not for the reason you think.
The peak in Ontario was NINE DAYS AGO. As the Ontario government's OWN DATA makes abundantly clear:
Jan 10 = 140,523 active cases
Jan 11 = 138,560 active cases
Jan 12 = 132,188 active cases
Jan 13 = 122,246 active cases
Jan 14 = 111,496 active cases
Jan 15 = 99,315 active cases
Jan 16 = 94,408 active cases
Jan 17 = 94,614 active cases
Jan 18 = 91,473 active cases
Jan 19 = 84,266 active cases
In the last nine days, the active case count in Ontario has dropped by a total of 56,257 cases, a reduction of 40% from the high reached on Jan. 10th.
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What the "journalists" at City"News" are either unable or unwilling to tell you:
36,808 = active case count in Ontario on April 14, 2021
33,432 = active case count in Ontario on April 14, 2022 (9.2% lower than last year)
1,877 = hospitalized patient count in Ontario on April 14, 2021
1,392 = hospitalized patient count in Ontario on April 14, 2022 (25.8% lower than last year)
642 = ICU hospitalized patient count in Ontario on April 14, 2021
177 = ICU hospitalized patient count in Ontario on April 14, 2022 (72.4% lower than last year)
April 19, 2020 = date of active case spring peak in 2020
April 24, 2021 = date of active case spring peak in 2021
COVID is seasonal. So cases were going to peak anyway sometime between April 19 to 24.
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"Are plastic shields security theater?"
Yes, they are. They always were.
So too was social distancing (people have forgotten now, but earlier this year there was a study showing social distancing had little, if any, impact on COVID transmission), face masks (there is ZERO correlation between mask mandates and subsequent case counts), disinfecting everything because the virus lurked on surfaces (a study earlier this year debunked that one as it showed the ability of the virus to persist on surfaces was much less than thought).
And now vaccinations, once the golden child of ending the pandemic, are being shown to have considerable side effects and mediocre efficacy (see: Israel, Iceland, U.K.), to the point that booster shots are being proposed despite the COMPLETE lack of evidence regarding the safety and efficacy of such third -- and maybe more -- doses.
It seems almost everything said about COVID by public health "experts" has turned out to be completely wrong.
With every passing day it becomes increasingly difficult to believe anything in the last 16+ months was ever about health.
It is either incompetence on a scale so vast as to be absurd -- or it is something far more sinister.
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Any audit on the effectiveness of the covid vaccine?
The best you can do is peruse the data of COVID cases by vaccination status. Canada published such data on a bare bones basis but hasn't published new data in over a month; Italy is still publishing such data, although it did recently make a change in the data is presents.
From Italy's ISS extended report published Nov. 4, 2022, covering the period of Sept. 30 through Oct. 30:
1,911.9 per 100,000 = per capita rate of COVID cases in unvaccinated people
1,658.9 per 100,000 = per capita rate of COVID cases in persons who have had 2 doses for 120 days or less
1,606.0 per 100,000 = per capita rate of COVID cases in persons who have had 2 doses for over 120 days
2,030.6 per 100,000 = per capita rate of COVID cases in persons who have had 3 doses
Having two does reduced a person's risk of being infected by only 13% to 16%. Those with three doses had a 6% higher chance of being infected than someone with no doses.
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Well, then you should start screaming at China, since that country is, by far, the biggest contributor to climate change due to its massive, world-leading amount of CO2 emissions.
China, the #1 emitter of CO2 in the world.
China, the #1 emitter of CO2 in the world for the last 17 years in a row.
China, the country which emitted more CO2 by itself in 2021 than did the next seven nations combined.
China, the country which has emitted more total CO2 since 1990 than any other nation in the world.
China, the country whose per capita rate of CO2 emissions is already greater than that of Germany.
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@The-Real-Ando Now tell me the fatality figures for Canada and compare that to the restrictions being implemented here.
Here, I'll do it for you:
15,741 = number of COVID deaths in Canada in 2020
7,333 = annual average number of influenza and pneumonia deaths in Canada from 2015-2019
15,741 / 7,333 = 2.15
In terms of fatalities, COVID in Canada in 2020 was only twice as bad as an average year of influenza and pneumonia deaths. Not a hundred times worse, not ten times worse, but two times worse. That's it.
And for that two times worse we've got lockdowns, business closures, curfews, emergency stay-at-home orders, etc., depending on the province. All of which are drastically out of proportion to the risk COVID actually poses to the general Canadian public.
Here's where COVID deaths in 2020 would place among the top five causes of death in Canada in 2019:
80,148 = cancers
52,532 = heart diseases
15,741 = COVID in 2020
13,710 = accidents
13,658 = cerebrovascular diseases
12,823 = chronic lower respiratory diseases
COVID is slightly ahead of accidents but well behind cancer and heart disease.
Do you see justification for draconian restrictions based upon these relative numbers? I do not. I see no justification for restrictions on the general public whatsoever based on this comparative data.
99.87%. That is the survival/recovery rate for COVID cases under the age of 60 in the province of Ontario through Jan. 23rd. Specifically, there have been 181,225 recoveries versus 241 deaths in the under-60 age group. Those under 60 are 76.3% of Ontario's 14.6 million population.
Why then is the entire population under a stay-at-home order when three-quarters of it are at nearly zero risk from the virus?
(Incidentally, Ontario recorded 4,581 COVID deaths in 2020 as compared to the 2015-19 annual average of 2,661 influenza and pneumonia deaths. Which means in Ontario the virus was 1.72 times worse than the average influenza and pneumonia year. That's under the national average.)
THE GOVERNMENT'S OWN DATA shows clearly the threat from COVID to the general public has been grossly exaggerated.
That's the situation in Canada. And since this is a video from Global News, a Canadian media outfit, that's the situation which should be used to compare, not the U.S.
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@arlenevandenberg6184 Fun fact: Alberta's cumulative COVID data shows it has done better than Ontario in terms of fatalities and hospitalizations.
48 per 100,000 = per capita rate of COVID deaths in Alberta
56 per 100,000 = per capita rate of COVID deaths in Ontario
1 in 25 = rate at which COVID cases are hospitalized in Alberta
1 in 21 = rate at which COVID cases are hospitalized in Ontario
1 in 142 = rate at which COVID cases are admitted to an ICU in Alberta
1 in 113 = rate at which COVID cases are admitted to an ICU in Ontario
Alberta is also the ONLY jurisdiction in Canada regularly reporting comorbidity data. No other provincial nor the federal government does so. The latest Alberta comorbidity data shows that:
68.4% of non-severe cases had no comorbidities
24.0% of non-ICU hospitalized cases had no comorbidities
21.4% of ICU-admitted cases had no comorbidities
2.5% of fatal cases had no comorbidities
Comorbidities include the following: diabetes, hypertension, COPD, cancer, dementia, stroke, liver cirrhosis, cardiovascular diseses, chronic kidney disease, and immuno-deficiency.
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@pbottomley14 You mean like saying vaccines don’t work against Covid but as a percentage of the population the unvaccinated die from Covid FAR more often then those who are fully vaccinated?
Public Health Agency of Canada data disagrees. Fatality rate by vaccination status for the period of Dec. 14, 2020, to Dec. 25, 2021:
1.11% = unvaccinated
1.74% = <14 days after first dose
1.37% = 14+ days after first dose to <14 days after second dose
0.52% = 14+ days after second dose (fully vaccinated)
Not that much of a difference in percentage points terms across all vaccination status categories should one become infected.
From Dec. 14, 2020, to July 17, 2021, fully vaccinated individuals comprised 0.51% of cases, 0.73% of hospitalizations, and 1.24% of deaths.
From July 18, 2021, to Dec. 25, 2021, fully vaccinated individuals comprised 50.38% of cases, 22.56% of hospitalizations, and 29.49% of deaths.
You should also examine Ontario's "Confirmed Cases of COVID-19 Following Vaccination in Ontario: December 14, 2020 to December 12, 2021" report, and Italy's Epicentro weekly extended reports.
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Don't worry, none of the other provinces will ever catch up to Quebec's covid record. January - June 28, 2022 (3,471 deaths)Quebec has already surpassed the entire Quebec Covid deaths for 2021. (3,273 deaths)
The loss of life rate is actually lower in 2022 due to cases being higher:
2020 = 4.05% (8,311 lives lost out of 205,449 cases)
2021 = 0.82% (3,421 lives lost out of 414,741 cases)
2022 = 0.80% (4,015 lives lost out of 504,448 cases, as of July 9, 2022)
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@ImproveYourMagic Once again per capita amounts do NOT fill up the atmosphere, raw totals do. The top ten nations in greenhouse gas emissions in 2022 according to the EU's EDGAR database.
1 = China -- 15,684.63 Mtons (29.2% of global total) -- per capita, 10.95
2 = United States -- 6,017.44 Mtons (11.2%) -- per capita, 17.90
3 = India -- 3,943.26 Mtons (7.3%) -- per capita, 2.79
4 = Russia -- 2,579.80 Mtons (4.8%) -- per capita, 17.99
5 = Brazil -- 1,310.50 Mtons (2.4%) -- per capita, 6.05
6 = Indonesia -- 1,240.83 Mtons (2.3%) -- per capita, 4.47
7 = Japan -- 1,182.77 Mtons (2.2%) -- per capita, 9.41
8 = Iran -- 951.98 Mtons (1.8%) -- per capita, 11.20
9 = Mexico -- 819.87 Mtons (1.5%) -- per capita, 5.99
10 = Saudi Arabia -- 810.51 Mtons (1.5%) -- per capita, 22.64
China emitted more greenhouse gases (GHG) by itself (15,684.63) than did the next FIVE NATIONS COMBINED (15,091.84).
China's per capita rate of GHG emissions (10.95) was already greater than that of the UK (6.27), France (6.50), the EU27 (8.09), Japan (9.41), and Germany (9.49).
Total GHG emissions over the last 32 years (1991-2022):
China = 303,104.61 Mtons (21.9% of the global total)
U.S.A. = 209,978.84 Mtons (15.2% of the global total)
EU27 = 137,310.07 Mtons (9.9% of the global total)
In 2020, China's GHG emissions were 14,879.56 Mtons; in 2022, its emissions were 15,684.63 Mtons. That's an increase of 805.07 Mtons. Canada's GHG emissions in 2022 were 756.81 Mtons. That means China's INCREASE in GHG emissions over those two years was 6.4% larger than Canada's total emissions in 2022. Canada could reduce its GHG emissions to zero tomorrow and China would wipe out that reduction in just two years.
But, yes, keep excusing China's massive role in climate change. Keep ignoring the biggest contributor to the problem, the country whose increases in GHG emissions will easily wipe out the reductions other nations achieve.
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Yes, myths often become accepted as historical fact.
The Battle of Britain, for example, tells the great story that the RAF was on its last legs when Hitler made the decision to bomb London, giving the RAF the time it needed to recuperate.
Great story, often repeated in history books . . . but it is not true. In reality, as documents and testimony bears out, while the RAF was hard-pressed at times, it was never in danger of collapse, and the shift to the bombing of London had much more to do with faulty intelligence estimates of RAF fighter strength and a dispute over the best way to force those few British fighters into the air.
But truth will always have a hard time going up against popular, long-standing myths.
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@truth6612 COVID has a mortality rate of approximately 1%.
It used to. It's below that now, and has been since the end of 2020. Here are annualized figures for Canada:
2020 = 2.68% (15,787 lives lost out of 588,939 cases)
2021 = 0.88% (14,552 lives lost out of 1,645,488 cases)
2022 = 0.71% (13,746 lives lost out of 1,944,910 cases through Sept. 2nd)
Note also that the mortality rate is highly stratified by age. For the pandemic as a whole in Canada, 92.78% of lives lost were 60 years of age or older; 82.15% were aged 70 or older.
Italy's comprehensive data shows that the distribution of lives lost by age has been almost unchanged since mid-2020. That is, despite variants and despite vaccinations, those most likely to lose their lives to the virus now are the same ones as two years ago.
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Yet, Greta isn't traveling to India and China to stop them from opening a new coal-fired power plant every week.
To be fair, India was a distant third in global CO2 output in 2021. China, on the other hand, was a dominant #1, and has been #1 for 17 years in a row. The top five:
#1 = China, 32.93% of the global total
#2 = United States, 12.55% of the global total
#3 = India, 7.00% of the global total
#4 = Russia, 5.14% of the global total
#5 = Japan, 2.87% of the global total
The EU27 nations collectively accounted for 7.33% of the global total.
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@kevinmiller9760 Omicron is milder ? There are 13 people die in my province today, about same people died when 4th wave (Delta) hits my province.
You do know that people die EVERY DAY, right? From all sorts of causes. 307,205 Canadians died in 2020 -- that's an average of 841 EVERY DAY. And you can't point to "But COVID is preventable!" because influenza and pneumonia is also preventable. Diabetes deaths are preventable. Suicides can be prevented. And many, many other mortality causes can be prevented. (Why don't you care equally as strongly about preventing those other causes?)
10 people get delta, 2 of them die, or 100 get Omicron, 10 of them die
Your statistics are WAY off.
Contrary to what the media would have you believe, Delta was a nothing burger. This is easily proved by graphing the cumulative case fatality rate -- there is no substantive rise in it from Delta.
If Delta was significantly more life-threatening, then it should have caused the cumulative CFR to rise. There would be a noticeable bump -- but there isn't one. In fact, in Ontario, the CFR actually dips slightly in mid-April -- the very time the alarm about Delta was being raised -- but goes back up to its prior value by the end of June. (Note that the dip here was minor, from 1% down to 0.91% and then back to 1%.)
In Ontario, the non-LTC fatality rate started at 4% in May of 2020 and then steadily declined throughout the remainder of that year, bottoming out at 1% in the first half of January 2021. It then stayed at about 1% for the rest of that year. Until, that is, the second half of December, when it fell quickly to about 0.70% -- that's Omicron.
You can easily verify this for yourself by downloading the "Status of COVID-19 cases in Ontario" dataset file from the Ontario government itself and dropping it into your spreadsheet app of choice and doing the math
Do NOT get your COVID information from the "news" media. Instead, use the internet and look up the official primary source data for yourself. The Ontario government publishes plenty of it. There's also the data from other provinces, the federal government, and other nations as well.
If you look up and examine that source data for yourself, you will discover that what that source data says is quite different from what the "news" media, politicians, and public "health" officials say that data says.
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@nosuchthing8 The risk of an unvaccinated person losing their life to COVID for the period of Aug. 12 through Sept. 11, 2022, according to the latest ISS report from Italy published Oct. 7, 2022 (Table 5 on page 27 of the PDF):
12-39 years of age = 0.1 per 100,000 (that's 1 in 1,000,000)
40-59 years of age = 0.3 per 100,000 (that's 1 in 333,333)
60-59 years of age = 6.4 per 100,000 (that's 1 in 15,625)
80+ years of age = 101.3 per 100,000 (that's 1 in 987)
Remember, those rates are for unvaccinated persons, theoretically the ones most at risk.
If you think COVID is some sort of substantial threat, you have not been looking at the data for yourself.
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It's interesting how aviation keeps being made a scapegoat for CO2 emissions while certain countries which continuously lead it in terms of CO2 emissions remain unremarked.
According to the most recent report from the EU's EDGAR database, CO2 emissions in 2021:
#1 = China, 12,466.32 Mtons (32.93% of the global total)
#2 = United States, 4,752.08 Mtons (12.55%)
#3 = India, 2648.78 Mtons (7.00%)
#4 = Russia, 1942.54 Mtons (5.13%)
#5 = Japan, 1084.69 Mtons (2.87%)
#6 = Iran, 710.83 Mtons (1.88%)
#7 = International shipping, 699.72 Mtons (1.85%)
#8 = Germany, 665.88 Mtons (1.76%)
#9 = South Korea, 626.80 Mtons (1.66%)
#10 = Indonesia, 602.59 Mtons (1.59%)
#11 = Saudi Arabia, 586.40 Mtons (1.55%)
#12 = Canada, 563.54 Mtons (1.49%)
#13 = Brazil, 489.86 Mtons (1.29%)
#14 = Turkey, 449.72 Mtons (1.19%)
#15 = South Africa, 435.52 Mtons (1.15%)
#16 = Mexico, 418.35 Mtons (1.11%)
#17 = International aviation, 390.17 Mtons (1.03%)
China, for the 17th year in a row, was the #1 emitter of CO2 in the world, pumping out 2.6 times more than the United States in 2021, and 32 times more than international aviation.
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@beefy1212 I plan to. I find TIK's videos are usually quite good.
But the air war is an interest of mine, and something I have been reading about for years. (Heck, I restarted a project to meticulously record the bomb load and other mission details from squadron Operation Record Books.)
I find the air war, just like the ground war, is a complex topic, and there are A LOT of factors going into it that are overlooked or excluded in videos on the subject.
(TIK himself said in another video the air war isn't a focus of his, so I kind of doubht the books listed as sources for this video are enough background context.)
In terms of running out of explosive bombs, the RAF did run low of its own supply of MC bombs in 1944 such that it was forced to use its older GP bombs, and use American GP and SAP bombs in considerable numbers.
But raids intended primarily as fire-raising attacks peaked in 1943, and considerably fewer seem to have been conducted in 1944-45. The squadron ORBs shows a definitive shift in ordnance from incendiary to high explosive. Part of this was the increased focus on transportation as a target, as explosive bombs are better at wrecking railways than incendiaries.
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But my main question was, almost every day, 52% of the "deaths with covid" were in the over 80 age group. This was BEFORE any vaccination, during the early stages, and in the mid stages.
Italy's official data from April of 2020 clearly showed most of those succumbing to COVID were older. As of April 2, 2020, the data showed a total of 12,548 lives had been lost to the virus. The percentage distribution by age bracket:
0-9 years = 0.00%
10-19 years = 0.00%
20-29 years = 0.05%
30-39 years = 0.23%
40-49 years = 0.88%
50-59 years = 3.82%
60-69 years = 11.54%
70-79 years = 33.44%
80-89 years = 40.08%
90+ years = 9.97%
83.49% of the lives lost were aged 70 or older. It was abundantly clear even in April of 2020 it was the elderly who were most at risk, and that the majority of the population was at minimal risk.
Thirty-two months later, as of Dec 6, 2022, a total of 180,534 lives had been lost to the virus. The percentage distribution by age bracket:
0-9 years = 0.03%
10-19 years = 0.02%
20-29 years = 0.08%
30-39 years = 0.26%
40-49 years = 0.94%
50-59 years = 3.55%
60-69 years = 9.88%
70-79 years = 24.13%
80-89 years = 40.43%
90+ years = 20.69%
85.25% of the lives lost were aged 70 or older. Most of the percentages, despite vaccinations, are little changed; the only ones which showed notable change were 90+ which went up, and 70-79, which went down.
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@CarbonTech19 Here's the breakdown as of the beginning of September...
Those figures are not a good comparison since there are different sample sizes in each vaccination status category due to the time period under examination. You have to correct for that by working out the rates for each individual vaccination status category.
Here is what it looks like on a rate basis, from data published by PHAC on Sept. 24th.
Hospitalization Rate
5.15% = unvaccinated (32,432 hosp. out of 629,774 unvac. cases)
7.21% = not yet protected (2,636 / 36,579)
6.73% = partially protected (2,677 / 39,764)
4.40% = fully protected (844 / 19,174)
1 in 19 unvaccinated cases were hospitalized
1 in 14 not yet protected cases were hospitalized
1 in 15 partially protected cases were hospitalized
1 in 23 fully protected cases were hospitalized
1 in 19 for unvaccinated versus 1 in 23 for fully vaccinated is not that much of a difference.
Fatality Rate
1.05% = unvaccinated (6,587 deaths out of 629,774 unvac. cases)
1.90% = not yet protected (696 / 36,579)
1.59% = partially protected (632 / 39,764)
1.28% = fully protected (246 / 19,174)
1 in 96 unvaccinated cases died
1 in 53 not yet protected cases died
1 in 63 partially protected cases died
1 in 78 fully protected cases died
The fatality rate for unvaccinated cases is actually the lowest of the four status groups.
Not yet protected = <14 days after 1st dose
Partially protected = 14+ days after 1st dose to <14 days after 2nd dose
Fully protected = 14+ days after 2nd dose
Unfortunately PHAC does not break down the data by age group. Ontario does in its "Confirmed Cases of COVID-19 Post Vaccination in Ontario" report, published at the Public Health Ontario website. However, the sample sizes are small, since the data is for only one province, and it hasn't updated its numbers (the last report was published Sept. 14th).
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@realnews7424 They actually said at the beginning that older people were not affected.
This was unequivocally disproved with the early data out of Italy. On April 2, 2020, the third ISS extended report was published. At that point 12,550 lives lost had been recorded, of which 83.5% were aged 70 or older. In contrast, those under 50 years of age comprised 1.2% of the lives lost. Those aged 50-69 accounted for 15.4%.
By the end of 2020, the lives lost totaled 70,799 but the distribution by age group was almost identical: 85.9% were aged 70 or older; 1.1% were under 50 years of age; and 13.0% were aged 50-69.
I downloaded every one of Italy's ISS extended reports from March 12, 2020, through May 3 2023, and have them archived for posterity.
As of 2019, the distribution of Italy's population was 17% were aged 70 or older, 55% were under 50 years of age, and 23% were aged 50-69.
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@mediajunkie515_3 Or the official government data if one bothers to look at it for themselves.
Question: what's the difference in loss of life rate from COVID in Canada between those who are unvaccinated and those who are fully vaccinated with a booster?
Answer: 0.01 percentage points.
Yes, you read that right, the difference between no shots and three (or more) shots is just 0.01 percentage points. The full numbers for Dec. 14, 2020, through May 22, 2022, as published by the Public Health Agency of Canada:
1.06% = unvaccinated (10,284 lives lost out of 966,280 cases)
1.05% = fully vaccinated with a booster (3,438 lives lost out of 326,144 cases)
Are you not aware of this freely and publicly available official government data?
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If Quebec had competent leadership, it's first and second waves wouldn't have killed so many people. Here's the current COVID deaths per capita top five ranking as of May 18th according to federal government data:
#1 = Quebec, 129 per 100,000
#2 = Manitoba, 73 per 100,000
#3 = Ontario, 58 per 100,000
#4 = Alberta, 49 per 100,000
#5 = Saskatchewan, 44 per 100,000
Quebec's population-adjusted COVID fatality rate is 1.78 times higher than the second-place Manitoba, and 2.22 times higher than third-place Ontario.
Why are Quebec's total figures so much worse than the other provinces?
That's how disastrously bad Legault's handing of the virus was last year. And it seems everyone in Quebec has completely forgotten.
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@guymontag2948 Indeed. So, when will you start demanding China do something its CO2 emissions?
You know, China, the #1 emitter of CO2 in the world.
You know, China, the #1 emitter of CO2 in the world every year since 2005.
You know, China, the country which emitted more CO2 by itself in 2020 than did the next seven nations combined.
You know, China, the country which has emitted more total CO2 since 1990 than has any other nation in the world.
You know, China, the country which has emitted more CO2 in the last 16 years than has the United States in the last 28 years.
You know, China, the country which already has a per capita rate of CO2 emissions greater than that of Germany.
Will you support sanctions being placed on China in order to pressure it to reduce its massive, world-leading amount of CO2 emissions?
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