Denis Rancourt
Day 1 · September 8, 2026 · 0:59:37
Key points Professor Denis Rancourt, a former University of Ottawa physics professor and interdisciplinary researcher, presents an analysis of official mortality data he calls highly reliable. He argues autopsy studies, VAERS reports of about 39,000 deaths, and thousands of peer-reviewed papers demonstrate that COVID-19 vaccines injured and killed people. He presents data he says shows excess deaths of pregnant women and, nine months later, rises in infant deaths in both the US and Canada following vaccination directives. He describes excess mortality in toddlers and young children in the US and Canada that he correlates with the timing of vaccine approvals for those age groups. He presents data on rising 'turbo cancer' mortality, linking it to a known phenomenon of hyper-progressive disease triggered by interference with the immune system. In part two he attributes broader excess mortality to assaults such as lockdowns, isolation of the elderly, financial-aid cuts, and stress rather than viral spread. He concludes there was an absence of viral disease spread causing death and that COVID-period measures, including toxic vaccination, constituted a multifaceted assault on people.
Shawn Buckley
0:00 Our next witness is Professor Denis Rancourt. 0:08 And Denis, would you prefer to swear or affirm today? 0:12 Okay, if you'd take the Bible in your right hand, please. 0:17 Denis Rancourt, do you swear to tell the truth, the whole truth, and nothing but the truth, so help you God? Dr. Denis Rancourt
0:22 I do, absolutely. Shawn Buckley
0:25 Now, I'm going to try and do some 0:29 brief credit to your credentials and then ask you to explain part of them. 0:35 But I will advise the inquiry that we've entered Professor Rancoeur's CV as Exhibit 8, Rancoeur A. 0:45 It's 93 pages long. 0:50 Professor Rancoeur has a Bachelor of Science degree, a Master of Science degree, and a PhD from the University of Toronto. 0:57 their degrees in physics. 0:59 He has been a Natural Sciences and Engineering Research Council of Canada, International Postdoctoral Candidate in prestigious research laboratories in both France and the Netherlands. 1:12 He became a National NSERC University Research Fellow in Canada. 1:18 He was a Professor of Physics at the University of Ottawa for 23 years, attaining the highest academic rank of Tenured Full Professor. 1:27 As a researcher at the university, he was a researcher in interdisciplinary research. 1:33 And that was my question for you is, can you explain for the inquiry what an interdisciplinary researcher is? Dr. Denis Rancourt
1:42 Well, it can mean different things in different contexts, but in my case, it means that I'm able to switch fields completely and become a top expert in different fields, but also I'm able to combine fields to analyze a complicated problem. 1:57 using different areas of science. 2:00 So my interdisciplinary research includes and included physics, obviously, condensed matter physics, nanoparticles in the environment, environmental science in general, biogeochemistry, and more recently, medicine and public health. Shawn Buckley
2:19 And we've invited you here and we're very glad to have you here to do a presentation. 2:24 And so I'll just invite you to proceed. Dr. Denis Rancourt
2:27 Okay, I just want to make sure that the slides do go up. 2:30 Okay, good, because they didn't in the past for some of the others. Shawn Buckley
2:35 Well, I think the receiver's over there. 2:38 Oh, when I'm clicking, you mean? Dr. Denis Rancourt
2:40 Yeah, it'll work if you point it this way. 2:42 Okay, I'll try and do it right. 2:46 Thank you for having me. 2:48 Let me get through some of this. 2:50 First, I want to say that 2:52 Senator Johnson this morning said three words in particular that really struck me. 2:56 He said them authentically and vehemently. 2:59 And those three words were, what is true? 3:03 He said that loudly. 3:04 What he meant was there's a great difficulty in knowing what is, if we can rely on our common sense. 3:11 There's a great difficulty in parsing through all this expertise mumbo jumbo. 3:17 and all the different opinions and all the different things that we see in the various sources of information. 3:21 So he was really honestly saying, what is true? 3:24 How do you know? 3:25 And he shared that he has a staff that helps him figure this out. 3:29 And so I want to reassure everyone today that I'm going to be sharing some data that is the most unquestionable. 3:39 The states, the modern states, they count births and they count deaths. 3:44 And so, 3:45 Mortality is one of the most reliable things. 3:48 There is an apparatus, a legal and administrative apparatus that counts deaths. 3:53 Who died? 3:54 How old were they? 3:55 What sex were they? 3:56 In which jurisdiction did they die? 3:57 When did they die to the day? 4:00 And this data is extremely valuable for figuring out what happened to a society during a major event. 4:07 And that's the kind of data that I'm analyzing, that I've been analyzing for more than five years now. 4:13 And then I will be showing you lots of graphs and lots of data, and I'll guide you through how to look at and how to understand these graphs, but it's mortality data. 4:23 And in addition to knowing sex, age, and so on, you can also know about the health status of the person who died. 4:30 So it's possible to know that. 4:32 In some jurisdictions, you'll even know the vaccination status, but mostly most jurisdictions will not record that regarding attaching it to the death, I mean. 4:41 So that's what I'll be showing you. 4:42 So it's stuff you can understand. 4:44 It's numbers of deaths. 4:46 And so here we go. 4:50 The background information is on our website, which is correlation-canada.org. 4:56 And a recent report that I wrote, an overview report is entitled Eight Pivotal Facts About COVID Period Excess Mortality. 5:05 And you can find it on our website. 5:08 And in that report, I lay out eight really central facts that are conclusively known from the data, from this kind of hard data that I was describing. 5:19 And today I will concentrate on fact number five from that report, which is that the 5:25 a demonstration that the COVID-19 vaccines harmed and killed many people without any reasonable doubt. 5:34 So the presentation is divided into two major themes or parts. 5:39 The first part is the localized damage to individuals. 5:43 So it's vaccine, probably vaccine associated harm directly to individuals. 5:48 And the second part of the presentation is about widespread damage in the society 5:53 from the various kinds of impositions and mandates and so on. 5:58 And that causes death. 6:00 And so the overall plan is like this, but I will go through the plan as we march through the presentation, so you don't have to worry about reading it all now. 6:08 But I'm going to be covering different aspects of these big themes, including pregnant women who died after the mandate to vaccinate all pregnant women and their children who died nine months later. 6:23 their infants. 6:24 Toddlers, once we approved vaccines for toddlers, I will show that there was a large upscale of mortality rate to toddlers and such things as that. 6:36 So I'm going to be going through each of these one by one. 6:40 The sources of the data are national official data sources. 6:45 So the CDC in the USA and StatCan in Canada. 6:49 Now, these are massive databases that have to be mined and have to be interpreted mathematically in the sense that they have to be put into a form that you can make graphs and so on. 6:59 But that is the source. 7:01 All of that kind of data, mortality data, is from these sources. 7:05 And so we'll start with part one, which is the localized harm to individuals. 7:10 And this part one, the sections in part one are as follows. 7:13 The first one is going to be a demonstration that COVID-19 vaccines injured and killed. 7:20 And so that's the very first one. 7:23 And so here is the type of evidence that I will use to demonstrate this. 7:30 Detailed autopsy studies, not just autopsies that were done by someone, but detailed scientific studies, peer reviewed. 7:38 There have been more than 50 of them that describe autopsies of one or more persons in the group for the study. 7:46 That's out there. 7:48 These authors are academics, they're scientists, they're not working for, they're usually independent. 7:57 And there are 50 of these serious studies where they try to identify the cause and they relate the cause to the vaccination event. 8:06 So that's one kind of data. 8:08 And you can go through, VARS was mentioned a lot, 39,000 deaths so far in VARS, which is adverse effect monitoring in the United States. 8:16 Vaccine injured pathologies are being described in the scientific literature. 8:20 Skin and organ biopsies are done. 8:22 So you don't have to actually have a dead body. 8:24 You can actually take a biopsy and analyze it. 8:28 There are universal curated collections of scientific articles about adverse effects. 8:34 People don't generally hear this fact, but there's over 4,000, almost 5,000 peer reviewed scientific studies that describe 8:43 the adverse effects from vaccines in different circumstances, jurisdictions, different kinds of COVID-19 vaccines. 8:50 I'm talking about just those vaccines. 8:54 And then there's people who reanalyze the data that is provided to the government by industry independently. 9:01 And finally, it was mentioned this morning, there are the vaccine injury compensation programs in many different countries that have all admitted to 9:11 vaccine caused deaths and injury. 9:15 So this is just a small list of the beginning of these 50 autopsy studies. 9:21 These are the titles of some of the articles. 9:22 So there've been more than 50 of these. 9:25 The VARS system for adverse effect counting, there is a legal obligation to report to VARS. 9:33 It's often said that it is voluntary. 9:36 That's not completely correct. 9:39 In fact, 9:40 There's a legal document called the letter of authorization that requires the industry report all adverse effects that are reported to it. 9:49 So that's the loophole. 9:51 And that letter of authorization, which is a legal requirement for the vaccine to be approved, requires that all 10:00 health workers who vaccinate must report events that follow the vaccine, whether they've established that it's directly related to the vaccine or not. 10:10 And the loophole there is that they become aware of. 10:14 So if they vaccinate, run away and close their eyes, then they may not become aware of it. 10:18 But if they were doing follow up or if the patient contacted them with a concern, then they must report it to VARS. 10:30 Yes, I can back up. 10:31 So more than 200,000 hospitalizations are reported in VARS and so on, right? 10:38 Now, this is a screenshot of the curated collections of scientific articles. 10:44 This one's called CoVerse. 10:46 So it's a nonprofit organization that has a system for searching and seeing these scientific articles. 10:54 And they work in collaboration with another 10:58 nonprofit organization that's called React 19. 11:00 And these are just some of the some of the few more than 4000 of these articles in the scientific literature. 11:08 So that ends that first section in which I have demonstrated that there can be no doubt scientifically that the vaccines do kill and injure people. 11:18 You've got autopsies, you've got adverse effects, and you've got thousands of scientific papers on these adverse effects. 11:26 The next topic is pregnant women and their infants. 11:33 Pregnant women and their infants died. 11:36 And early on, several dedicated researchers pointed out that there would be a problem of this type. 11:42 This is one of the very first early scientific articles about it. 11:46 And recently, a book was written by Thorpe and Farber called Sacrifice that is just 11:55 a provocative book but a very powerful book about how the establishment and the medical people knew that this would be dangerous and could see in their clinics and everywhere how dangerous this was to pregnant women. Miriam Bohemier
12:11 And so the types of evidence I will present... And so the evidence I will present... And so the evidence I will present... 12:25 So, pregnant women died during childbirth and newborns died because of mothers who had been vaccinated. 12:39 Here's one of the most important charts that I'm going to show you today. 12:43 Here's the mortality rate of women in the United States who died after the vaccination campaigns. 12:51 We don't know if these women were vaccinated, but we know 12:57 that pregnant women have been under enormous pressure to be vaccinated when the CDC gave its directive on August 11, 2021, a directive that indicated that pregnant women should be vaccinated to protect them and protect their babies. 13:16 So here you see the death rates of women who have died. 13:24 So you vaccinate and you have immediate deaths, a two or threefold increase in deaths. 13:32 And so there are these two peaks of death. 13:35 The first peak Dr. Denis Rancourt
13:51 is also coincident with what's something that happened in the U.S., which is called the vaccine equity rollouts or campaigns, where you specifically went out to all the people who are most vulnerable in the poor states and the poor areas that had not been vaccinated yet, and you make sure they get vaccinated as quickly as possible. 14:08 That was a massive, well-funded campaign in the U.S. Miriam Bohemier
14:11 The vaccine has been very well financed in the U.S. Then the second marked increase coincides 14:20 avec la seconde dose donnée aux gens qui avaient des comorbidités ou qui étaient plus vulnérables. 14:28 Ces gens avaient reçu une première dose et en ont reçu une deuxième. 14:38 Des doses supplémentaires de vaccins avaient été données aux femmes enceintes qui avaient reçu les premières et les deuxièmes doses. 14:54 Here you can see the percentage of people who live in poverty in states. 15:00 In dark blue, there are the richest states. 15:05 The CDC has done an analysis that you can see here on the screen. 15:10 So, the deaths of mothers, which are a bit different from the deaths of pregnant women, and so... Dr. Denis Rancourt
15:22 And they count them and they do what's called a 12-month ending sum, so kind of a rolling average if you like. 15:29 And so the idea there is if you have a plateau, everything is normal and continuing normally. 15:34 And then if you have a rise, an elbow and a rise, that means something has happened. 15:39 So that's your signal. 15:41 And you can see that the very first month where there is a rise is the... Miriam Bohemier
15:46 The first month where we see an increase is the month 15:50 during which they forced pregnant women to get vaccinated, no matter where they were during their pregnancy. 15:59 Various articles have been written about these data, but the authors of these articles did not make any connection with the vaccines. 16:09 Here, we see the deaths of mothers who died in batches from month to month. Dr. Denis Rancourt
16:24 In their first trimester, a lot of them, it'll be in their first trimester. 16:27 You can expect that nine months later, maybe the infants being born will be fragile or will have defects from that vaccination and then will die more frequently. 16:39 And that is indeed what we see precisely nine months later. 16:43 So this is a graph that shows male and female infants, death rates as a function of time by month. 16:49 And you see the plus nine months, 16:51 and you can see that the plateau is at a certain level, whether it's male or females, and then steps up to a higher level after you start rolling into the infants that are born after pregnant women were being vaccinated. 17:06 So that's very strong evidence of this link. 17:11 And now if you look at it by year, on a bi-yearly basis, now we're going to look at, again, deaths of infants, so less than one year old, 17:21 And these deaths mostly occurred very near the pregnancy. 17:25 And there's two ways to show them here. 17:27 One is all-cause death within one year as a zero-age person. 17:34 And the other is very specific coded deaths that are deaths of the infant about pregnancy. 17:43 So they call it certain conditions originating in the perinatal period, so near the time of birth. 17:50 And what you see, I want you to appreciate this data because what you see is a general trend downwards, but it's a continuous trend without any steps in it. 18:00 And then as you get to the bottom of it after 2020, when the pandemic was announced, that's when you see this rise, this potato. 18:09 And you're going to see that in a lot of data that I'm going to show. 18:11 You see this rise in the number of infant deaths, the death rate for infants. 18:16 And that rise does not occur in 2020 when the pandemic is declared and when supposedly there's COVID going around. 18:23 It does not occur in 2021, as you can see there, when you start vaccinating the general population. 18:29 It occurs in the year nine months after pregnant women were required to be vaccinated. 18:36 That's the rise. 18:36 And it corresponds to 4,000 18:39 excess infant deaths in the US between 2022 and 2024. 18:44 And if I remember correctly, for women, there were 500 excess pregnancy deaths in the US. 18:51 So keep those numbers in mind, because as we move to Canada, because of the population difference, you'd expect maybe 10 times less. 19:00 OK, so that's the infant deaths that we just saw. 19:04 And now we're going to move to Canada for infant and pregnant women deaths. 19:09 And the first slide here is to show that in Canada, in the age-bearing age group between 15 and 44, which is nominally the age-bearing age group, there's a lot of excess deaths as a function of time in Canada for women in those ages. 19:26 So you can see on the left there a graph, a light blue curve that starts to move up in 2015, 19:35 when fentanyl became a problem, distribution of fentanyl in the country became a problem. 19:40 And then immediately when the pandemic is announced in 2020, there's an upshoot of deaths again. 19:49 And there's a massive death there. 19:51 So in this age group for females, there's 4,000 extra deaths in this period between 2021 and 2024 for women in Canada. 20:02 And that is far more than the 20:05 COVID assigned deaths, formally officially assigned by the government, which is more like 300 for that entire age group and women. 20:14 So this is just to show that women were being subjected to conditions that could cause death or subjected themselves, but there were a lot of deaths happening, so we can expect problems with pregnancies. 20:27 And so what happened in Canada was the date, unlike in the US, the date at which women were strongly encouraged to be vaccinated 20:35 was the 28th of May, 2021. 20:40 And you can see the evolution of the government assigned directives, if you like. 20:45 You started by pregnant women should not be vaccinated all the way up to should be offered the vaccine. 20:54 So it's not as aggressive as it was with the CDC. 20:57 But this progression, it's important to point out, happened in the absence of any clinical trial on pregnant women. 21:04 So this is all just politics. 21:06 It's what you think you should be doing kind of thing. 21:11 But keep that date in mind because I'm putting it on the graphs here. 21:14 So now we've got mortality, pregnancy related mortality of women who are basically giving birth. 21:23 So we know that because the mortality of everyone, there's a diagnostic that's given and there's a code for that. 21:32 And when you pick out that code, 21:34 you find that in Canada, there were, after the vaccines were strongly recommended to women, there were approximately 10 excess over the norm pregnancy related deaths between 2022 and 2024. 21:50 So even proportionally less than what was happening in the US. 21:54 So the Canadians in terms of causing deaths of women giving birth was not as severe as what happened in the US. 22:03 But if you look at now the infants nine months later, what is their death rate? 22:08 In Canada, you see that classic bump that I showed you before in the United States, nothing in 2020, nothing in 2021. 22:16 Then in the year of the nine months after the date of recommended vaccination, you have an up shoot of infant deaths near the pregnancy time. 22:26 And it corresponds in Canada to 200 excess infant deaths. 22:32 And so in Ottawa, that would correspond to six or seven excess deaths, not normally explained deaths that would have happened in Ottawa in that period and 200 overall of Canada. 22:46 In Canada, again, if you now look at abortions, these are induced abortions. 22:52 There were 27,000 excess induced abortions in Canada. 22:57 in the three year period 2022 to 2024. 23:02 A massive amount of excess abortions above what the recent trend line or average, if you like, was. 23:12 Now, why is that? 23:14 Is it because defects were detected or felt in the fetuses? 23:19 Who knows? 23:19 But there was a lot, a lot more induced abortions. 23:24 Okay, I'm going to get to the next section now, which is very heart-wrenching. 23:31 This is about toddlers and preschoolers. 23:35 And it was mentioned this morning that they vaccinated six-month-year-old children and beyond. 23:46 And this had a huge impact that is clearly seen in the mortality. 23:49 I'll show you that right now. 23:52 This is the data for the USA. 23:54 So you can see the usual uneventful trend, historic trend there. 24:00 And then you see that rise at the end after 2020. 24:05 You've got more than 2,000 excess deaths of toddler plus ages 1 to 4 in the USA. 24:16 And it's a clear signal. 24:19 And it starts to go up in 2021, which is the year of the major financial support cuts in the US. 24:27 So you have to know that all Western societies gave massive amounts of financial supports to workers and families. 24:36 And then they started cutting them. 24:37 But in the US, they cut them very suddenly. 24:41 And 26 of the states just terminated their participation in federal support programs. 24:47 And that has a devastating effect. 24:49 You can actually see it to the week near how much it increases deaths in the general population. 24:55 Well, that's the increase, that first increase, the green line there is related, we believe, to those financial cuts for one to four year olds. 25:07 And then when you approve the vaccines for one to four year olds, 25:12 that that date of approval by the FDA was the 17th of June 2022. 25:18 That's when you get the highest amount of these excess deaths. 25:22 So we're looking at over 2000 excess deaths of one to four year olds in the U.S. And now I want to move to Canada to see the same kind of data. 25:31 And unfortunately, the same thing happened just as orderly in Canada. 25:37 So this is the 25:39 data for vaccine rollouts. 25:41 This is what it looks like when you look at the data. 25:42 This is for the province of Quebec that provides very good data. 25:46 And so what I've, on the left there, you can see the data at which the vaccines were approved in Quebec for six months to four-year-olds. 25:54 It's the 14th of July, 2022. 25:57 And then you can see the immediate rapid rollout of dose one, followed by dose two right after. 26:03 And then somewhat later, you've got the boosters coming in. 26:06 And at the same time that they were 26:08 You know, these rollouts are like military style. 26:11 You approve the vaccine and you immediately have these bursts. 26:13 They just go out and vaccinate everyone. 26:15 You can see it here in the data. 26:17 And at the same time that they were putting out the boosters, they were catching everyone that they hadn't had the dose one yet. 26:23 You can see it in the data there. 26:25 So this is what these rollouts look like. 26:27 They're very sudden. 26:28 There's sudden events that you can tie, that you can correlate to see if they associate in time with mortality. 26:34 And they do, in fact. 26:35 Here's the data for Canada. 26:37 So what we see here, 26:39 is on the left there we have three curves and those three curves are for three different age groups, one to four year olds, five to nine year olds and 10 to 14 year olds. 26:47 And each one of them has a sharp rise in mortality and therefore it's an excess mortality in the year at which the vaccine was approved for that age group, okay? 27:02 Not before. 27:03 So in Canada, the financial support cuts were done more progressively 27:08 from late 2020 to early 2022. 27:12 So that's the big broad green line there that did not affect mortality very significantly. 27:17 But as soon as you vaccinated these age groups and not before, not when there was COVID, not in the first two years of the pandemic, but when you started vaccinating them, that is the signature that you see in the mortality. 27:30 It's absolutely stunning. 27:32 And beside it, I show that the COVID deaths are nil for these age groups. 27:38 very small. 27:39 So it's not about COVID. 27:42 So we're looking at a total for the 1 to 14 year olds. 27:44 We're looking at a total of 410 excess deaths in Canada. 27:52 And the final part of the final section of part one is the question of cancer mortality anomalously increasing. 28:00 So the term turbo cancer has been used earlier. 28:04 And I want to show you some very definitive evidence from hard mortality data that that is indeed the case. 28:12 So this is unprecedented data. 28:15 And I want to first say before I show the data that the scientific phenomenon of a rapid turbo-like cancer has been well known since 2015. 28:27 It is in the scientific literature. 28:29 There's more than there's approximately 300 articles about this in the scientific literature. 28:34 It's termed hyper progressive disease and they mean cancer, HPD. 28:41 And it came into being in 2015 when novel immune therapy drugs were introduced and used on people who had been subjected to particular surgeries and things like that. 28:54 So as soon as they started using these novel immune therapy drugs that have just been patented and approved, they had this new phenomenon of very aggressive cancers spread throughout the body that could affect young people or whoever had received this therapy. 29:10 So this is a well-known thing that if you mess with the immune system, you can induce rapidly progressive and very aggressive cancers, okay? 29:22 And in the COVID-19 vaccine context, it has been termed turbo cancer. 29:28 But it's the same kind of phenomenon. 29:30 And there is now starting to be in the scientific literature a recognition of this. 29:35 This is the title of the first journal article that I could find that has the term in the title. 29:43 Clinicians, of course, have been seeing this in their practices for some time and have been reporting it. 29:49 And so the type of evidence I'm going to show with regards to this cancer is temporal trends of excess cancer mortality that happened at the same time as COVID rollouts or after COVID rollouts. 30:01 And so in the US, there's a lot. 30:05 Here are some of the numbers in red here. 30:07 So we're looking at thousands of extra cancer deaths. 30:11 And I want to show you this statistical, the data signals that demonstrate this. 30:16 So this is the first graph. 30:18 in which we're looking at the age group five to 44 year olds, and we see the trend there. 30:25 It's a monthly mortality, and we see the historic trend, and then you see a step up to a higher plateau. 30:34 That step up to a higher plateau occurs precisely when the huge finance cuts of financial support to Americans were made. 30:44 And at the same time, there was this, 30:46 vaccine equity surge in rollouts to the poor, then you have, when that happens, you have this more than 4,000 excess cancer deaths, all cancer types included. 30:59 If you look at the five to 24 year olds in the United States, you see the characteristic bump that I've been showing you, and you can see it for males and females. 31:07 This is a definitive signal. 31:10 This is not ambiguous. 31:12 So you're looking at 960 extra cancer deaths 31:16 in that age group that would not normally have occurred in the United States. 31:21 And then you can look at very specific cancer types. 31:24 This is a very rare cancer called long bone limb cancer and it is affecting five to twenty four year olds and you look at that look at that huge rise. 31:36 You have tripling of the of the deaths from that cancer in the United States after you have 31:45 rolled out the vaccines in the year and after you have rolled out to the vaccines to those ages. 31:50 You have this huge rise in that very specific kind of cancer. 31:55 And so that's definitely a safety signal. 31:57 And then the last cancer type that I want to show you is a cancer type called primary multi-site cancer. 32:05 So these are deaths from a very special kind of cancer. 32:09 This is a cancer where you have 32:13 tumors on different organs that are all primary. 32:17 In other words, it's not a cancer that progressed naturally and spread where you have a spread from one organ to another or to different parts of the body. 32:26 No, this is the spontaneous simultaneous occurrence of tumors of different primacy of different origin on different organs. 32:36 So that's a very specific diagnostic the CDC 32:40 regulates how you make that diagnostic and you have to have lab studies and so on. 32:45 And there's an increase in those types of cancers that is very significant. 32:49 This is the increase shown for the 25 to 44 year olds in the US, male and female in different colors there. 32:56 And you see that large increase. 32:57 So you're looking at 240 excess primary multiple site cancers in the US in the age group 25 to 44. 33:11 You see the same kind of cancer shooting up a gap in the most elderly, 75 plus year olds. 33:19 So you see male and female, I've circled it there. 33:22 You have a sudden break and you have an increase in this type of cancer, which is an unusual type of cancer. 33:29 And you've got 1,500 excess deaths in this age group, 75 plus in the US. 33:36 So there's similar signals occurring in Canada. 33:39 which we're still analyzing and I didn't want to show them yet. 33:42 So I want to move on to part two instead. 33:45 And part two is general harm, other kinds of assaults than vaccination that definitely caused death to the general population. 33:55 And so these are the sections that I will be covering in this part two. 34:00 And the first section is Canada's mortality context, just to give kind of a, 34:06 mortality crash course here. 34:08 This is what happens in Canada. 34:10 If you're looking at the 15 to 44 year olds, so age bearing for women, you see that the highest specific cause of death is opioids and fentanyl related accidental poisoning deaths from those substances. 34:26 The next one is suicides. 34:28 After that, it's car accidents. 34:30 And then what has been assigned as COVID is far below for this age group. 34:36 For the next age group, 45 to 74-year-olds, all cancer types is definitely the leading cause of death. 34:44 The second one is cardiovascular diseases, a particular group of them. 34:48 And then COVID-19 is down here. 34:51 In the 75-plus-year-olds, cardiac and cancer switch places. 34:56 So the first killer is cardiovascular disease, then all cancers together. 35:00 And then the third one is dementia, which is rising for this age group. 35:06 And then down at the bottom there, you've got various kinds of respiratory diseases that are all related and happen at the same time and so on. 35:15 So you've got chronic respiratory diseases, pneumonia, flu-like infections, and COVID-19 all happening down there. 35:24 And you have to know that respiratory diseases are the ones, are the diseases that are most obviously affected by stress. 35:32 And so you're going to get increases in those when you have stressful events. 35:36 Okay, the next section of the second part here is that we looked at factors in Canada that correlate to excess mortality during the COVID period. 35:48 This is years of work that I'm trying to condense into a short presentation here. 35:51 You have to understand. 35:53 So we looked at more than 80 province-specific socioeconomic factors that might correlate to excess death in Canada. 36:01 So these factors include poverty, disability, the age structure, the population obesity and so on and so on. 36:07 We looked at 80 of them and we did detailed statistical analysis of them. 36:11 We did cluster analysis and various things looking for correlations and so on. 36:16 And then we can make graphs of the correlation coefficients by age group and by as a function of time and look for the factors that really correlate strongly with excess mortality in Canada. 36:31 And one of the factors that really popped out that correlates very strongly is GDP per capita. 36:40 The more wealth generation you have in the province, the more excess deaths you have. 36:47 Very strong correlation. 36:48 So you can see on the graph there, I'm listing British Columbia, I'm going west to east, and you can see the relationship. 36:56 So our understanding of this is that when you shut the economy down, 37:02 In provinces that have a very vibrant economy, lots of people working, it has a devastating effect on the families of those workers, their elderly and so on, and you get a lot of excess deaths during this period. 37:16 That's how we understand that very strong correlation with GDP. 37:20 Another strong correlation that we found, we found many, many, but this is just a few examples. 37:26 Opioid deaths on the y-axis there, 37:29 versus GDP real estate per capita. 37:33 In other words, what we found generally throughout the world is where you have poor people living near very wealthy people in the same urban environment, closely mixed, the poor people do very badly. 37:48 Their death rates are much higher from all kinds of causes, including opioids, but also many other causes. 37:55 And another interesting correlation that we found is this one. 38:00 Look at this. 38:01 Province to province, the excess mortality corrected for the baseline health of the population, it's called PSCOR, excess mortality, all ages or 85 plus, they're both shown there on the graph, and it's compared to the percent of the hospitals in the province that are considered large hospitals. 38:20 So where you have large hospitals, a lot of people died. 38:24 Where most of the hospitals are large, just as a percentage, a lot of people died. 38:30 So this is very clear for Ontario and Quebec. 38:35 And this is what it looks like for Quebec. 38:38 So at the start of the pandemic, that vertical line indicates the date of the start of the pandemic. 38:42 You had a huge peak in excess mortality in Quebec, but it was completely centered 38:47 in the metropolitan area, right in Laval, right in the center of Montreal. 38:52 And there was virtually no excess mortality in the rest of the population in the entire province. 39:00 So that gives you an idea of what was happening in Canada. 39:03 Now, I want to show some graphs about the impact of COVID period measures, because this is devastating. 39:12 Here's an important graph. 39:14 This is excess mortality. 39:18 by week for ages 85 plus year olds and that's the that's the blue line there and then the red line is an index that was developed at uh oxford that shows the severity with which you protect your elderly so in other words the intensity of the protection to the elderly which means lockdowns isolations that kind of thing so when that severity goes up when that red line shoots up 39:48 like when the pandemic was announced. 39:50 And then there were two other times there where I put gray lines, where that severity of lockdowns and so-called protection of the elderly went up. 39:58 Then immediately following that rise, you have a large peak in excess deaths of the 85 plus year olds. 40:06 And then following that large peak of excess deaths, you have a trough where you go subnormal. 40:12 In other words, there's less deaths than you would normally have expected 40:16 in normal period. 40:17 And that's because you've killed so many people in that first peak that there's less people of that age to die in the weeks that follow. 40:25 That's called the dry tinder effect. 40:27 And so this is a demonstration when you see that kind of an S-shaped curve, it's a demonstration that you really actively were killing people in that peak. 40:37 And then there was less of them to die than normal after that. 40:40 So this is the result 40:42 of the devastating measures that we imposed on the elderly in Canada. 40:46 And this was done in many, many countries. 40:49 Most countries, most Western countries did this and it had this kind of an impact. 40:54 And this is to show the impact of cutting the financial aid in Canada. 40:59 So there were major programs of financial aid that are listed up there in the legend. 41:03 And when you cut them, you immediately following that you have increases in excess mortality. 41:08 This is of all ages. 41:10 So you can see that even the plateau of mortality is higher after that last large cut in financial funding. 41:18 So what we concluded by looking at many jurisdictions is that people, it's worse if you give money, if you give support and you cut it, it's worse than if you had never given it and you'd gotten people to adapt to the difficult circumstances. 41:36 And this is to show how important that financial support was. 41:40 Actual poverty levels significantly decreased in Canada overall in 2020 and 2021 because of this massive support that was being given. 41:49 In the US, it was more than a trillion dollars that was given. 41:53 In Canada, it was a proportionate amount. 41:55 So very generous because they knew they were shutting down the economy, but there were consequences to when you turn it off after you've turned it on. 42:06 And finally, I want to show a section that many would consider provocative, but it's the data that we see and I'm going to report it. 42:16 And it's to show that there was an absence of viral disease spread that caused mortality during the COVID period everywhere in the world where we have data. 42:25 So we studied this in a very large detailed article by Hickey, myself and Lennard, in which we looked at 42:35 high spatial resolution mortality down to the county level in the US and the same kind of size in all of Europe. 42:43 And we tried to understand that. 42:45 And what we found is that there was no viral spread causing death, meaning that the spread in mortality was geostatic time evolution, not geotemporal, which means that it's inconsistent 43:04 with the accepted theory of how a virus spreads through the respiratory exchange person to person. 43:11 It proves that those models are not correct. 43:17 So they're not correct because we saw impossible mortality patterns, like impenetrable borders, despite the fact that there was constant exchange and things like that. 43:30 So an example of that is comparing 43:33 California to the New York area. 43:35 The New York area had a large static peak. 43:39 So people died intensely here and then died less after they had died. 43:43 But it didn't spread. 43:44 There was no spreading that happened in New York and nothing happened in California. 43:50 They have the same number of poor people. 43:52 They have the same number of flights from Asia. 43:54 They have the same number of everything. 43:56 And you can do detailed theoretical models including all the transport routes the the subways the buses the cars 44:03 the airplanes. 44:04 You can do everything you want. 44:06 And this is a state of the art report of those calculations by others. 44:10 I give the reference there and it shows that the West Coast and the East Coast, New York and California, should have been affected equally. 44:18 If anything, California should have been more affected. 44:21 And that was not the case. 44:23 Same goes for Europe, especially the example of northern Italy, Milan and Rome. 44:30 Identical. 44:31 identical systems, identical types of societies, just as many poor high density urban areas, no deaths whatsoever at the beginning of the pandemic in Rome, despite the same number of flights coming in from around the world and so on, big airports and everything. 44:45 And Milan had that peak. 44:46 So this is contrary to all the predictions of the accepted models regarding spread. 44:53 So we concluded that there is an absence of viral disease spread. 44:58 So that means that 45:00 It's possible, it should open your mind to the idea that the whole idea that there was a viral pandemic may be completely wrong. 45:08 Maybe something else was happening. 45:10 And what we have concluded in our work over many years of research is that, and I want to get to the conclusions now, is that what caused excess mortality is assaults, not a virus. 45:27 So economic deprivation 45:30 closing down the economy, fear propaganda, mandates, measures, public health responses, medical assaults, all of these things. 45:38 And the medical assaults include testing, diagnostic bias, imposed facial masking, confinement, isolation, denial of appropriate treatment, mechanical ventilation. 45:48 All the things that we've talked about today were medical assaults. 45:53 And these are the things that caused the excess mortality, as far as we can tell. 45:59 and you have to add vaccination. 46:01 Now, vaccination is the only one of these assaults. 46:05 COVID-19 mRNA vaccination is the only measure 46:09 that involved repeatedly injecting into the bodies of everyone, whether you're healthy or not, and including the sick, the elderly, infants, toddlers, preschoolers, pregnant women at any gestation period, repeatedly injecting directly into their bodies a known cytotoxic substance. 46:29 Because you have to know that those nanoparticles are made with cationic lipids, and cationic lipids are cytotoxic, 46:38 And the scientific literature on that is absolutely established. 46:43 And here is a review article from 2025. 46:46 This is a review article of the state of the technology of these cationic lipid nanoparticles. 46:54 And their conclusion in the review article is that the fundamental limitation to this technology is toxicity. 47:02 And they point out there are no permanently positively charged bilayers 47:08 forming lipids in nature. 47:10 That means that this thing you put in your body, there's no way that your body has mechanisms to combat it because it doesn't exist in nature. 47:19 And so that's one of the reasons it's so difficult to get rid of these things. 47:23 So it's the only measure where you were doing that. 47:25 You were injecting toxic substances into bodies. 47:30 And so I'm going to read this last slide. 47:32 This is the conclusion slide. 47:35 Bear with me, I'm extending from all the research that I've done, and I would conclude in this way. 47:42 History will record that the COVID period was, in effect, a massive and unnecessary multifaceted assault against people, exploiting fear and causing harm, injury and death, especially in the most vulnerable. 47:57 All governments under US hegemony and media influence cooperated or imitated. 48:02 Canada was no exception. 48:05 The vaccines are toxic and caused many deaths and injuries in plain sight of robust national statistics. 48:14 Science can never prove causality, but institutional capture and discipline can always minimize and invalidate screaming safety signals and personal hardship. 48:27 And these are the signals I showed you today are screaming safety signals that needed to be acknowledged right away 48:34 and used to change government and medical establishment behavior, and it was not. 48:41 And that concludes my presentation. Shawn Buckley
48:45 Professor Rancourt, during COVID, it seemed that almost anything could be caused to COVID death, but with mortality, you can't fake deaths. 48:58 So what you're doing is counting the total number of people that die, regardless of the reason they die. Dr. Denis Rancourt
49:05 Well, we're doing both. 49:07 On the one hand, we are counting deaths in an all-cause mortality scenario, which means that we make ourselves blind to what the medical system says was the cause of death. 49:20 So we do that on the one side. 49:22 And then we say, well, now let's look at what they said, because they have rules and they're guided by laws and procedures. 49:29 So they established causes of death. 49:32 Let's look at that. 49:32 So they call it the underlying cause of death, the thing that eventually led to the death. 49:37 And so we also analyzed that mortality. 49:40 So I showed some of both and I compared the two as well. Shawn Buckley
49:44 Is it the case that like in some political jurisdictions, so let's say a province that's beside another province or a state in the US that's beside another state or a country in Europe that's beside another country, 49:57 that even though they're absolutely beside each other, they could have completely different outcomes, which would suggest that the COVID-19 virus would respect political boundaries. Dr. Denis Rancourt
50:08 Yes. 50:09 Well, I've been showing that since we did the data, because we've studied over 150 countries so far in detail, and by province and down to lower jurisdictions, and we found many 50:23 fascinating barriers to vaccines on geography maps. 50:28 So for example, East and Western Europe were divided, even though there was constant economic exchange and travel, they were completely divided. 50:38 So at a time when Western Europe was experiencing large peaks in London, Paris, in Italy, and so on, there was virtually, there was absolutely no excess mortality in all of Eastern Europe. 50:52 So you can actually draw on the map, you can draw a line. 50:55 And we do this in our article. 50:56 We draw a line and we say, there you go. 50:58 That's impossible. 51:00 If you believe the scenario of a spreading virus, that is impossible. Shawn Buckley
51:06 And so... A spreading virus causing death. Dr. Denis Rancourt
51:10 Yeah, causing death because we are measuring mortality. 51:12 That's right. 51:13 We're measuring the consequence of it. 51:15 The ultimate consequence of the infection. 51:18 That's right. 51:19 But, you know, why would it? 51:21 cause death in Western Europe and not cause death in Eastern Europe. 51:24 It brings up all these questions. 51:26 But yes, so we see these strict boundaries. 51:28 That's right. 51:29 We see them in many places. Shawn Buckley
51:31 Now, do you see a correlation then between governments? 51:38 So let's say Eastern Europe might not have been as strict in lockdowns and government actions. 51:44 Do you see correlations between government actions and excess mortality? Dr. Denis Rancourt
51:49 Yes. 51:49 Well, I've 51:50 I've gone to speak to scientists and MDs in Eastern Europe, and I can tell you that the culture is different, and the mistrust of government is different, and the way of getting around what you're told to do is different. 52:06 So there was a lot of things happening that are different. 52:10 There was a lot more of false vaccine passports, if you like, and certificates and so on that was happening in Eastern Europe, much, much more. 52:22 There are many differences, but did you have a specific idea in mind? Shawn Buckley
52:26 Well, I'm just wondering, like, because you were saying with the elderly, you were showing that chart and the red line on that chart was basically showing government interventions. 52:35 And it almost seemed paradoxically that the more we protected the elderly, the more we killed them so that the message would be don't isolate them. 52:44 Absolutely. 52:44 Don't lock them down. 52:45 So if you can comment on that. Dr. Denis Rancourt
52:46 Well, absolutely. 52:47 That's the message. 52:48 I mean, and 52:49 It's not just in the hard data, but we also said, okay, let's believe your scenario about how this thing spreads and how it operates. 52:59 Let me do the calculation as you would do it and examine if it actually protects the elderly to isolate them and to lock them in. 53:08 And we wrote two peer reviewed articles on this where we 53:14 Take the the actual theory of how these things spread and we show by mathematical calculation that if we were to believe you your own models predict that if you do this you'll kill more people than if you don't. 53:28 In other words if you had done nothing according to your own models which we don't believe because we've got empirical data that disproves them. 53:35 But if even if we take your models it shows that this is a worse thing to do and the reason it's worse is because 53:44 When you confine sick elderly people together, you make sure that they all can get infected and can infect the caregivers and so on. 53:54 Whereas traditionally before COVID, you would always take them out of the institution and put them somewhere else. 54:00 You would take them out right away. 54:02 They were doing the opposite. 54:04 So according to their own predictions, you're going to cause way more death that way. 54:09 And so I think we showed that mathematically, at least rigorously, that that was the case. 54:16 So even their thinking was crooked. 54:18 But yes, our empirical data tells us that if you had done nothing, if you had not responded to this announced pandemic, there would have been no excess mortality. 54:36 If you had not 54:38 tried to save the elderly by isolating them and locking them in. 54:41 You have to know that isolation kills. 54:43 This is unambiguous. 54:45 The scientific literature is full. 54:47 It's a whole area of research. 54:48 They take little mammals and they confine them to not be able to move in a tube for 15 minutes and they can see the physiological impact of that. 54:57 Stress is a killer. 54:59 Stress is a major killer of animals because the stress response 55:06 takes all your resources away from your other bodily functions in order to respond to what is stressing you. 55:13 And so it's a real killer. 55:14 And that is the fundamental reason why men die more than women. 55:17 You'll notice on all my graphs that when I have both sexes there, the mortality for men is always much higher. 55:25 And that is a universal property irrespective of the cause of death. 55:30 There's only a few examples, which is 55:32 diseases and cancers on female organs, then OK, women will die more of that, obviously. 55:37 But generally speaking, mortality of men, mortality rates are much higher across the world, throughout history, and for every condition that you can name as a cause of death. 55:50 And the reason for that is that men have testosterone. 55:54 Men are hardwired to respond to stress. 55:58 And so they respond to stress much more strongly than women. 56:01 So their bodily resources are used in that response as opposed to fighting whatever ailments they have and the repairs that they would need in their bodies. 56:10 And so there's strong scientific understanding that stress, physiological and biological stress, is the major cause of death of animals, okay? 56:24 So you don't have to think in terms of a circulating virus or anything. 56:29 If you really want to understand overall mortality and the real cause of death in human societies, you have to think of how we oppress each other and the sources of stress. 56:44 And I can tell you that the dominance hierarchy in our society, the fact that you have a boss and he has a boss and the underlings and how they're 56:52 underpaid and everything. 56:53 That structure and how it's maintained by constant aggression and oppression is what makes the underlings unhealthy and die sooner. 57:04 This is unambiguous. 57:06 All the anthropologists know this. 57:08 All the historians know this. 57:09 For some reason, the medical people don't want to acknowledge it. 57:13 So if you start doing this kind of process in a society, 57:17 where you completely transform the society, where you remove a person's raison d'etre, their place in the world and how they interact with their family members. 57:29 You remove all that and you cause all this massive stress for a prolonged period of time, there's going to be a lot of deaths. 57:36 So if you want the deaths that we saw during COVID, you just have to do the same thing over again and you will get it again. 57:44 And every time you do it, you will get excess deaths in this way. MP Mike Dawson
57:49 I think we have time for one more intervention. 57:53 Mine's not really a question, it's more of a statement. 57:58 With pregnant women, it kind of hit close to home for me. 58:01 My son and daughter-in-law were pregnant, and they ended up forcing the vaccine on her through work, and she ended up having to have the baby. 58:12 The baby died, and she ended up having to have the baby through the whole process. 58:17 of naming the baby, the whole, they were 24 years old. 58:22 I don't think we talk enough about the mental aspect of what it does to people when you have 22, 24 year olds that lose a baby and have to go through the process of burying a baby. 58:35 And that process alone, I think, has a lot of aspects to the mental side of what happens to people with COVID. 58:44 These doctors and medical professionals were pushing the vaccines on people, telling them, don't worry about us. 58:50 Your baby will be fine. 58:52 And the babies, there's a lot of babies out there that don't make it, or a lot of toddlers, for that matter, that don't make it. 58:58 And we don't hear enough about those stories. 59:00 So I just want to say thank you for coming and testifying today to tell us all the stories and the data behind it. 59:07 Thank you. Shawn Buckley
59:14 Professor Ackroyd, we really appreciate you coming and sharing. 59:17 And I personally know that it was a lot of work to put this presentation together and you have a whole team behind you and you verify everything and go over it. 59:28 And what an honour to have you come and present this data. 59:30 So we thank you for coming. Dr. Denis Rancourt
59:32 My pleasure. 59:33 Thank you for this.