So here’s another tidbit of data from Sweden. I clipped this from a video entitled “Time to Think: The Basic Data says It All - Simplified and Clear!” (sic) by Ivor Cummins. I HIGHLY recommend you spend 22 minutes watching it (and his other videos on COVID) if you have any interest at all in the actual SCIENCE AND DATA concerning this virus.
This graph displays deaths PER MILLION which is the ONLY way you can honestly assess the severity of COVID (or anything else) on a population; the RATE of anything per million makes for an apples to apples comparison, as opposed to absolute numbers which can paint an inaccurate picture. For instance, if you look at death counts, Florida has more than twice as many deaths as New Jersey (59,000 vs 28,000), which of course makes sense cause Florida’s full of Death Culters, but if you look at deaths PER MILLION, New Jersey is about 15% higher than Florida. So actually, Florida has been more successful in managing COVID than New Jersey. Who knew?
Anyway, back to the graph. You will notice the lesser rate of deaths in a “soft” 2019 almost exactly matches the “excess” rate of deaths in 2020. Also please notice that the mortality per million in 2020 was about the same as 2013 and looks to be the same or less than 2010, 2011, and 2012. Now in case you’re not aware, 2020 saw the arrival of a “novel” coronavirus, which was destined to destroy us all, and while most of the world groveled in fear, wet itself, and descended into madness with heretofore unthinkable draconian measures to save itself from certain doom while simultaneously destroying a great deal of our free society as we knew it (and we’re still doing it), Sweden just followed the actual SCIENCE AND DATA which had been around for some 50 years and which had been proffered by no less than the World Health Organization (WHO) in October of 2019 (just before the world went to hell) as the BEST information on planet earth in how to deal with a respiratory viral pandemic. (Whew, wrote that all in one breath!) That means Sweden had NO lockdowns, NO mask mandates, NO social distancing to speak of (a suggestion of three feet), schools open (no masks on students), NO ridiculous (according to the WHO) quarantining of the “exposed”, and otherwise life as we all knew it back in 2019.
But while the Fauci’s and Biden’s of the world would tell you that every Swede should be dead at least twice by now, it turns out not so much. So how do you explain a mortality rate pretty much the same as every other year? Dr. Dog Killer? Angry Joe? Anybody? No? Didn’t think so.
For all of you out there who are so sure you “know” something about this virus because some “expert” or corporate media talking head told you so, you might want to consider the possibility that what you’re sure you “know” may not be what actually is. Stop listening to the liars and idiots because, well, they’re liars and idiots. Stop demonizing your neighbor because he’s not vaccinated. By the data, the vaccinated present more of a danger to the unvaxxed than the other way around. Start improving your own health so you don’t need to worry about catching a cold (that’s the worst it would be for almost everybody). If you think I don’t know what I’m talking about, then maybe you’ll listen to Dr. John Ioannidis, Stanford professor and world-renowned epidemiologist, who did some counting on his fingers and toes and came up with this table:
Please notice that your chances of NOT being killed by the ‘vid is well beyond 99%. Also notice that below 50, you chances of dying if infected (your Infection Fatality Rate or IFR) is far less than that of the common seasonal flu. Even after 50, your IFR is still within the same order of magnitude as the flu. By the way, Ioannidis notes (caps mine for emphasis) “The Imperial College COVID-19 response team (52) presents much higher IFR estimates for elderly overall. They use a very NARROWLY SELECTED subset of 10 studies in 9 countries, five of which had sampled >1000 elderly people. Their selection criteria required >100 deaths in the location at the seroprevalence study midpoint, which SKEWS THE SAMPLE towards heavily-hit areas and HIGHER IFRs.” For those who don’t know, the Imperial College is from whence that criminally moronic Neil Ferguson comes. He’s the genius, who’s been wrong in his predictions about every single illness outbreak ever, who told us 2.2 million Americans would die from the ‘rona. Why would the Imperial College purposefully choose data that would skew the results to look worse than they actually are? Oh well, moving on…
Get healthy, get strong, and start living life without fear.