Youtube comments of Primmakin Sofis (@primmakinsofis614).

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  1792.  @shizuokaBLUES  Protect the public from what, exactly? A virus with a 0.53% overall fatality rate for non-LTC residents in B.C.? Yes, that is the actual fatality rate for the general populace. The provincial government has ALREADY failed to protect the vulnerable. Here's some comparative stats you wont hear from "Dr." Henry or the "news" media or the politicians: For the 17-week period of Aug. 1st through Nov. 27th: BC = 170 out of 570 deaths attributed to COVID were LTC residents (29.82%) ON = 45 out of 658 deaths attributed to COVID were LTC residents (6.94%) 3.8 times MORE deaths of LTC residents in B.C. than in Ontario during the same time period. And that's despite Ontario having a provincial population that's NEARLY THREE TIMES LARGER. That sure seems like a damning indictment of the policies the B.C. government has followed. It looks like whatever restrictions the B.C. government has adopted have been an utter failure in protecting those most susceptible to COVID. And just how much more susceptible are LTC residents? The B.C. government's OWN DATA tells us: LTC residents: 1,205 deaths out of 4,520 cases = 26.66% fatality rate Everyone else: 1,139 deaths out of 214,225 cases = 0.53% fatality rate LTC residents are 50 times more susceptible to COVID than is the general populace. Despite LTC residents comprising a tiny proportion of the population, they constitute OVER HALF of all virus deaths. So how does imposing vaccine passports and other restrictions on the WHOLE population do anything of value in protecting the small portion of the population at actual substantive risk? The answer is it doesn't. It's a sham. Hence the anger some of the public are expressing. All of the figures I've cited are from the official data published by the provincial government's themselves. It is freely and publicly available. You need only examine it for yourself.
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  2339.  @davidbycroft  As a Kiwi, the main reason to react so hard is since the country had managed to stop the virus getting into the country any outbreak that does happen could cause the cascade effect that other countries have dealt with. You have 16+ months of data from other countries. The degree of risk, and where that risk is greatest, is amply demonstrated in that data. Your and your nation's paranoia is not supported by that data. For example: 99.87% = the all-case survival/recovery rate for Canadians under the age of 60. Three-quarters of the Canadian population is under 60. More Canadians under 50 died in transportation accidents in 2019 (880) than have died from COVID in the entire pandemic (574). Those under 50 are 62% of the population. More Canadians under the age of 20 died on average each year from influenza and pneumonia from 2015-2019 (35) than have died from COVID in the entire pandemic (15). The distribution of COVID fatalities by age group in Canada is very similar to that of plain old influenza and pneumonia. If you think that COVID fatalities are relatively even distributed across ages, you are very much mistaken. 5.88% = percentage of COVID deaths aged 20-59 5.76% = percentage of influenza & pneumonia deaths aged 20-59 84.36% = percentage of COVID deaths aged 70+ 86.44% = percentage of influenza & pneumonia deaths aged 70+ Those under 20 are at much more risk from plain old influenza & pneumonia than they are COVID: 0.06% = percentage of COVID deaths aged 0-19 0.48% = percentage of influenza & pneumonia deaths aged 0-19 If you don't panic over annual influenza & pneumonia deaths, if you don't panic over deaths from traffic accidents or cancer or heart disease, then you have no basis to panic over COVID. The data is out there from many countries. Use the internet and look up the source data for yourself. Do NOT trust anything coming from the "news" media.
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  2693.  @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.
    8
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  4261. @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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  5543.  @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.
    3
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  5829.  @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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  6470.  @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.)
    3
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  6772.  @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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  7828.  @jillipepper5353  no one knew what they should do to protect their whole country when the pandemic hit Wrong. There were long-standing pandemic response plans by both individual countries and the WHO. (If you dig enough, you can still find those plans online, though there has been a concerted effort to scrub them.) Those plans all recommended AGAINST the very actions governments would go on to do. They recommended AGAINST general lockdowns and widespread masking because of the potential harm they could do. Those decades-old plans were all just summarily thrown out in the spring of 2020 for no valid reason. Moreover, the early data showed that the threat of COVID was being greatly exaggerated. The cruise ship data clearly showed who was actually at risk and the degree to which the virus spread. The early data out of Italy also clearly showed who was at risk, and it was NOT the general population. Everyone most certainly was NOT at equal risk. There were some voices in early 2020 pointing to that cruise ship data and to the Italian data and saying there was no need for panic. But those voices were either ignored, or worse, denigrated, in favour of the blatant fearmongering being proffered by the "news" media and public health "experts". How anyone after two years still think what went on was justified is incomprehensible to me given that the data is readily available online from the government itself. The government's OWN DATA showed one thing while the media and public health officials said the data showed something else. Wake up. You were played.
    2
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  8487.  @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.
    2
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  8839.  @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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  8901.  @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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  9231.  @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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  9872.  @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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  11164.  @garyhaggquist740  Western countries have had a huge head start on developing their economies and are responsible for the majority of total historic emissions since 1751. The USA is responsible for 25%, the EU 22%, China 12.7%, India 3%, and Canada 2%. Note how this time frame appears almost deliberately chosen to minimize China's massive CO2 output in recent decades. Let's look at total CO2 output since 1990 (that is, from 1991 through 2021) and the percentage of the global total during that period: 23.29% = China 17.84% = United States 11.19% = EU27 nations 4.93% = India 1.80% = Canada Paints a very different picture, doesn't it? Western industrialists moved much of the west's industrial capacity to China to take advantage of lower labour costs, lower energy costs, weaker environmental laws & regulations Interesting. You blame Western governments but not the government of China and the CCP., which is what allowed that to happen. And the CCP is what decides what Western businesses operate in China and the conditions under which those businesses will operate. Let's compare 2021 emission totals to those of 1990 and see which nations have gone up or down relative to that 1990 benchmark and by what factor: 5.139 = China 4..414 = India 1.271 = Canada 0.938 = United States 0.727 = EU27 nations China more than quintupled its CO2 output relative to 1990 whereas the U.S. was lower and the EU27 significantly lower. China's increase in CO2 output has more than wiped out the reductions the EU27 has achieved since 1990.
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  11735.  @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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  12130.  @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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  12476.  @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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  12848.  @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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