Transcript:
https://tinyurl.com/5fm8wh5b
Excerpt from transcript:
Okay, I'm going to talk about something quite different. I'm going to talk about all-cause mortality. I'm not going to be concerned about what caused the death. We're just going to count deaths. And I'm going to show you data for Romania as well. And all of the graphs and results that I will be presenting are in several scientific reports that I've, myself and collaborators have been writing for the last three or more years. And they can be found on this website, the scientific reports. And these are my main collaborators on the all-cause mortality research. And two of them are in the room here with us. They're from Prague. And another place that I told them I wouldn't forget the name of, and I just did, I'm sorry about that, Jérémie.
And so I want to start the historic record, almost 1900. I'll show some data starting in 1900. I'm going to start really at the beginning of COVID if you like. Now all-cause mortality, you're just counting deaths. And this is the case of France from 1946 on, just after the Second World War. And what you find everywhere in the Northern Hemisphere is that death is higher, is larger in the wintertime and it comes down in the summertime. And so it has a seasonal pattern that's very regular. This has been known for more than a hundred years. And I would argue that it's not completely understood. I would argue that it's far from completely understood, but this is what the pattern looks like by month. So we're looking at mortality by month in France. And if you integrate by year, by cycle year around each winter from summer to summer in France, it looks like this. So there can be an intense winter followed by a lower winter and so on. And the pattern looks like that.
So since the end of the Second World War, mortality on a population basis has been decreasing mostly. And it's typically 1% of the population that dies in a given year. So this is the kind of data we're going to deal with. And that last year is the first year of the so-called pandemic. And now if we go to the USA, to give another example, I can do all-cause mortality. This is by year now for a particular age group. This is the 15 to 24 year old age group. And I've separated into male and female. So you've got the two colors there. And this graph allows us to illustrate what you can see when you measure mortality, which is a hard figure. Nobody can tell you that the government didn't count the deaths correctly because they're very serious about counting deaths and it's a legalistic process. And so this is hard data. And this is what you see.
You see that there was an event in 1918, that event was recovered by the CDC and called the Spanish Flu. I know, and there are several scientific articles that show that this was not a viral respiratory disease. No one over 50 years old died in that huge peak of mortality. Only young adults and families and teenagers died in that peak. And the rich didn't die in that period. So that was 1918. And then in the United States you have something called the Great Depression. Huge economic collapse followed by an economic related the Dust Bowl, which was an environmental catastrophe partly. And those were the big hardships, recent hardships in the USA. And you can see the mortality there in both men and women in those periods. Then in the Second World War, you see that men have a mortality, whereas women do not. And I think we all understand why. And in the Vietnam War period, you can see that there's a hump in mortality for the men. This is what you can see in all-cause mortality.
And so in conclusion, I've been studying all-cause mortality extensively in more than a hundred countries on all the continents except Antarctica obviously, and in great detail by unit time, by week, by day, by month, by age group, by sex. And I can tell you that the only thing you can see in all-cause mortality data are the following things. Seasonal variations, like I explained. A maximum in the winter and in the southern hemisphere it's reversed. Their winter is our summer. That's when they have a maximum of mortality. In the equatorial region, there is no seasonal variation in mortality. There's no spikes, it's a flat line. So there's seasonal variation that follows the hemispheres. You can see wars, like I mentioned. You can see economic collapses, huge economic collapses that affect populations. You can see summer heat waves in northern latitudes that are not used to having a very hot period in the summer, that kills people, sometimes because they fall down the stairs when it's really hot, but it kills people. And you can see a peak that lasts about a week in one of these hot spells....
...And my time's up and I didn't even get to the vaccines or Romania. So I'll just show you the Romania data. Okay. So again, this is years of work, more than 30 scientific reports about science related to COVID that you could find on my various websites, on our websites and the one I gave. And so if we look at, this is how we prove that the vaccines were actually causing the death, is that every time you rolled out a dosed, you got immediately following an excess mortality. So this is the case of Israel. So doses one and two, then the first booster, the second booster, and so on. And you can do it by age group like we're doing it here. You start with the most elderly and you go down by age....
..... so that's the conclusions about vaccines. So from this work, we're able to calculate how many people would've died globally, given that we've studied so many countries now and we find that 17 million people were killed by the vaccines on the planet. That's our number. And I'm going to ignore that buzzer because I want to show you Romania. This is the data for Romania by age group. This is the correlation between the vaccine roll outs in dark blue and these huge peaks in excess mortality in Romania. There's no initial peak like you see in the western countries. There's that one with the question mark that we have hypotheses about and something very horrible happened in Romania to explain that. We have ideas about it. And then you have the vaccine deaths, and the last one is the booster. And so in Romania we did a preliminary analysis of that booster and it is killing, you get one death per five or 10 injections in the 80 plus year olds in Romania from the boosters. That's our conclusion, preliminary conclusion on the Romanian data...
Originally Posted by Kathianne
Reply With Quote
