Stay Free - Russel Brand - BOMBSHELL New Zealand Vaccine Data Breach - Steve Kirsch Reveals SHOCKING Findings - Stay Free #262

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00:00:09.000 ♪♪ In this video, you're going to see the future.

00:00:28.000 Hello there you awake and wonders.

00:00:29.000 Thank you for joining me today for Stay Free with Russell Brand for a very special conversation with Steve Kirsch, the entrepreneur and founder of the COVID-19 Early Treatment Fund, as well as the inventor of the optical mouse.

00:00:42.000 We're talking about his vaccine activism, we're talking about his encounters with censorship, and in particular, We are talking about what could prove to be the pandemic's Edward Snowden.

00:00:53.000 If Barry Young's revelations prove to be true, then this is gonna be a game changer because there's been a significant beta cap He's been in the UK talking to Parliament, among others with Andrew Bridgen, who's become a very significant voice in the pandemic truth movement, shall we call it that?

00:01:14.000 So yeah, this is a conversation that if you are open-minded and you're interested in hearing some varied perspectives from an entrepreneur and someone who's done incredible research into this subject, then you should join us.

00:01:26.000 But let me tell you, we're going to some places that are pretty extraordinary, but I know you guys are open-minded.

00:01:33.000 Steve, thank you so much for joining us today.

00:01:35.000 Thank you, Russell, for inviting me.

00:01:37.000 You were here to participate in Andrew Bridgen's parliamentary discussion into the COVID inquiry, the events around the pandemic.

00:01:47.000 Dave Martin, who's been a guest on the show, participated as well as Robert Malone.

00:01:53.000 Why did you participate in that event and how successful was it as a conversation?

00:02:00.000 Well, Andrew invited me to speak.

00:02:02.000 I have a unique perspective, which we'll talk about shortly.

00:02:07.000 And so I came to the UK to speak with Parliament.

00:02:14.000 There were over 20 members of Parliament present for that session, which actually surprised me, because I expected to see only Andrew Bridgen as the only member of Parliament, because normally when Andrew talks, everybody leaves the chamber.

00:02:30.000 You know, there are 650 members of Parliament, and when he goes in, 649 leave, and they don't want to hear what he had to say.

00:02:39.000 And so, I was actually surprised.

00:02:41.000 I was expecting maybe one member of Parliament, but we got 20.

00:02:46.000 And they thanked us afterwards, and they said they had no idea about what was going on, and they wanted copies of the presentation, and they wanted follow-up, and they wanted to know what questions they needed to ask the regulators.

00:03:00.000 And so I thought it was just marvelous.

00:03:03.000 I was shocked, because I expected only to have Andrew as the only MP in the room.

00:03:10.000 So this was a very pleasant surprise.

00:03:12.000 It was completely unexpected, and it just shows you how far we've come.

00:03:16.000 Yeah, I'm pretty surprised to learn that as well, Steve.

00:03:19.000 That's, I suppose, three or four percent, you know, and it's a global issue and it's a significant issue and I know by your reckoning it's an epochal and defining issue.

00:03:27.000 The way that the pandemic unfolded, the way it affected democracy, the way it affected the pharmaceutical industry, the way it affected Personal liberty.

00:03:34.000 And I suppose, yes, particularly while this COVID inquiry is taking place in our country, which many people believe to be, if not a staged event, many people believe it's certainly rather shallow when it comes to the depth of the inquiry, the type of questions that are being asked, and more significantly, the questions that are not being asked.

00:03:55.000 Before we get into numerous subjects, notably and including Barry Young's data revelations from New Zealand and the terrifying

00:04:04.000 implications of those.

00:04:05.000 I just wanted to personally understand, Steve, why you as someone that, as I understand,

00:04:10.000 made a lot of money from tech, like from technological innovation and your own sites and entrepreneurialism,

00:04:19.000 why have you got involved in such a potentially contentious issue or undoubtedly a contentious

00:04:24.000 issue unless you're saying, you know, broadly speaking, supporting the mainstream narrative?

00:04:30.000 Why have you gotten involved in this subject?

00:04:33.000 Well, first I want to say that I trusted the government.

00:04:38.000 I trusted our government.

00:04:39.000 I trusted the CDC.

00:04:41.000 I trusted the FDA.

00:04:42.000 I got two shots.

00:04:46.000 And I have two shots of Moderna and I had some side effects, but it was when I started hearing from people I knew that really got to me.

00:05:02.000 So I got a direct message on Twitter from one of my followers, and she said that—she asked me, is the vaccine safe?

00:05:13.000 And I said, yeah, of course it's safe.

00:05:14.000 It's the safest thing ever, you know.

00:05:16.000 And so I'm like singing from the hymn book.

00:05:20.000 And I said, why do you ask?

00:05:22.000 You know, don't you know?

00:05:24.000 Everybody knows it's super safe.

00:05:27.000 They've said it's been tested and safer than anything they've ever put out.

00:05:31.000 And she said, well, three of my relatives got the vaccine and they died a week later and they were perfectly healthy.

00:05:41.000 And I said, well, that's impossible.

00:05:43.000 And she said, yeah, but they're dead.

00:05:45.000 And that was kind of like a a moment for me and I thought maybe I was being pranked,

00:05:52.000 but maybe not, and I just put it away.

00:05:55.000 And then my, about a week later, our carpets were being cleaned and the carpet cleaner that we used

00:06:03.000 came to the door and he's wearing a mask. I'm giving him a hard time. I say, hey, you know,

00:06:06.000 you, why are you wearing a mask?

00:06:09.000 Don't you know if you get two vaccinations, you don't have to wear a mask anymore?"

00:06:13.000 And he said, well, I only got one, and I had a heart attack two minutes after I got the shot, and I had to spend the night in the hospital, and I've never felt the same since.

00:06:22.000 And so when that happened, that was the other shoe to drop, and I started looking at the data, And I started investigating Taveras, and I basically put my job on hold because what I found was very troubling.

00:06:39.000 So this anecdote that started it was impossible.

00:06:43.000 If the shots only killed one in a million people, that anecdote is impossible.

00:06:48.000 And so someone was lying to me.

00:06:50.000 And the fact that the United States government could be lying to its people about the safety of a vaccine, for me, was unbelievable. And so, everything that I looked at in the

00:07:06.000 data showed that these vaccines were killing massive numbers of people. So I wrote a 150-page

00:07:14.000 article for Trial Site News on May 25th.

00:07:17.000 And after I did that, I had a scientific advisory board that was focused on early treatments and

00:07:25.000 approving grants, proposals for early treatments.

00:07:29.000 They all resigned within a week after I published that article.

00:07:32.000 They said I was a danger to society and that I should never talk to them again, and I asked Okay, so I wrote a 150-page article.

00:07:40.000 Was there anything wrong in the article?

00:07:42.000 They said, we don't want to talk to you.

00:07:44.000 You're wrong.

00:07:46.000 We never want to talk to you again.

00:07:47.000 And so there was this inability to come to grips with actually looking at the data.

00:07:54.000 And so when you try to show people the data, they would run away.

00:07:58.000 And what happened at the very beginning is the same thing that is happening now with Barry Young.

00:08:04.000 So it's interesting that we're coming full circle here.

00:08:08.000 Basically, people hide from the data.

00:08:10.000 They run away from the data.

00:08:12.000 Anytime you try to show people, hey, what about this data?

00:08:16.000 They basically say, I don't want to see it.

00:08:19.000 And they run away.

00:08:21.000 And that's what happened then and the same thing is happening now with what Barry Young did.

00:08:28.000 It did seem in so many ways under scrutiny to be a unique event.

00:08:34.000 Of course the emergence of a truly global pandemic was in itself significant and we'd not experienced anything like that.

00:08:46.000 At the beginning of it, I think there was a good deal of trust.

00:08:49.000 Then there was initially, and I think this is where independent media becomes significant, a round of questions that I became peripherally aware of, just perhaps because of the kind of space I work in, even though the pandemic period has changed my role in public life, to tell you the truth, as it evidently has done yours.

00:09:06.000 Yeah, like I was always regarded as a somewhat kind of anti-establishment voice, but I've been part of the Hollywood establishment.

00:09:06.000 Quite a bit.

00:09:15.000 I've sort of existed in those spheres and within media, but it's only since I've been speaking openly around these subjects that I've felt threatened in ways that, you know, were unconscionable prior to this.

00:09:26.000 Because I think without independent media, I would not have, say someone like Joe Rogan, I wouldn't have heard the views of Jay Bhattacharya or David Martin or Peter McCulloch.

00:09:40.000 And initially what they were saying, kind of like what you said about your 150 page account or essay, was It's a relatively circumspect inquiry.

00:09:53.000 Is a lockdown the most effective way to handle this?

00:09:56.000 Is it wise to vaccinate a population during a pandemic?

00:10:00.000 Should a shielding policy be deployed?

00:10:05.000 Is the best use of mRNA technology application and is it even really a vaccine as we've Typically understood vaccines questions were being asked right at the beginning that were regarded as you describe in your own account as hysteria and I suppose heresy that you were it was regarded as a kind of anti-orthodox position to even inquire and

00:10:29.000 Certainly there was a lot of misinformation and doubt cast around any data that was detrimental to the advance of the vaccine program and that seems to have been your experience.

00:10:42.000 Other than these anecdotal encounters from some people online and people that you've encountered, when did you first start to Acquire what you would regard as evidence that we were not being given accurate information when it comes to the adverse injuries and potential negative side effects of the vaccine.

00:11:03.000 What were the significant data that you encountered?

00:11:06.000 Well, I think the first significant data that was very clear was the VAERS database.

00:11:14.000 So VAERS is the Vaccine Adversity Event Reporting System.

00:11:17.000 It's equivalent to the Yellow Card System.

00:11:19.000 It's a bit more extensive.

00:11:21.000 It's more publicly available than the Yellow Card System.

00:11:24.000 And so you can go and research that database and you can run a bunch of queries.

00:11:30.000 So one of the things that I did is I ran some queries to just see how frequent we're getting

00:11:37.000 events like pulmonary embolism, intracranial hemorrhage, things that you wouldn't normally

00:11:44.000 see.

00:11:45.000 And so I basically looked at every single adverse event that was reported and tallied

00:11:51.000 the number of times this was reported for this vaccine and then compared that number

00:11:56.000 to other vaccines.

00:11:59.000 And, you know, with the realization that there were more COVID shots given than a typical vaccine shot, and there are some issues with, you know, older people got the COVID vaccine versus other vaccines and so forth.

00:12:11.000 So you had a You know, take that into account.

00:12:14.000 But I was seeing like a thousand times higher incidence rate per dose of vaccine given with COVID shots for some things like, you know, pulmonary embolism, for example, was completely off the charts.

00:12:27.000 And so it was amazing to me that the CDC wasn't seeing these safety signals because they were fairly obvious.

00:12:35.000 And there is a I looked to see why the CDC wasn't seeing the safety signals.

00:12:40.000 So I researched and found out what the formula was that they use to generate safety signals and discovered that there's a huge error in the formula that results in masking of these safety signals.

00:12:53.000 So I said, hmm, this is interesting.

00:12:55.000 And so I pointed out the error to the CDC, but they never responded.

00:12:59.000 They basically said, we don't want to hear from you.

00:13:02.000 You must submit it using the public comments.

00:13:06.000 And of course, nobody reads the public comments, and so they basically black hole any input.

00:13:12.000 And any attempts to reach out to members of the CDC outside committee are met with, you cannot talk to us this way, you must do it through submitting comments into the portal, and that we never read.

00:13:25.000 And so there's this, again, this run from the data.

00:13:29.000 So there's a mistake in the formula.

00:13:33.000 It doesn't work if the vaccine is creating huge numbers of adverse events.

00:13:38.000 It masks the ability to generate a safety signal.

00:13:42.000 But it turns out that even though they have a bad formula, this vaccine is so bad,

00:13:50.000 it generated 770 different safety signals.

00:13:54.000 So it generated a safety signal for pulmonary embolism.

00:13:57.000 It generates a safety signal for cardiac arrest.

00:14:00.000 It generates a safety signal for menstrual hemorrhaging.

00:14:03.000 It generated 770 different safety signals.

00:14:07.000 And what's more important is that the CDC said nothing.

00:14:11.000 They said nothing to the American public.

00:14:13.000 So this is like a 770 alarm going off.

00:14:18.000 You know, like, yeah, but one alarm fire, two alarm fire, three alarm fire.

00:14:22.000 This is a 770 Alarm fire going off at the CDC, and they decided to say nothing to the public.

00:14:29.000 The only way we actually found out about the 770 different safety signals is because someone sent a Freedom of Information Act request saying, hey, could we see the analysis that you did with your safety signal analysis?

00:14:43.000 And they sent it, and lo and behold, 770 safety signals.

00:14:48.000 And even after it was publicly released, the CDC continued to say nothing to the American public.

00:14:55.000 I mean, the level of corruption here is, you know, I would never have believed it if you had told me this.

00:15:04.000 It's a watershed event, I think, in the relationship between the public and the institutions of government and their relationships with, in particular, Big Pharma.

00:15:15.000 So your initial forays into understanding the counter-narrative came from your own analysis and study of adverse reactions or yellow card events.

00:15:25.000 And on that basis, which already, of course, is impeded by the fact that not every single person who experiences an adverse event is going to report it.

00:15:33.000 even that is a sort of a subset, you were able to ascertain that the metrics that were being used to

00:15:39.000 diagnose adverse events were impaired, perhaps deliberately, potentially not in a way that would

00:15:46.000 mean it was very, very difficult to understand whether or not they were causing negative side

00:15:51.000 effects. But even with that error, it was unignorably loud.

00:15:55.000 And I'm having that experience that I have frequently, Steve, when I talk to people that

00:15:59.000 are better informed than me on this subject, that have sort of a kind of rising tide of disbelief

00:16:07.000 that this has become so significant that it's difficult to countenance because we have to, as

00:16:14.000 we've already mentioned, incorporate into what you're telling us our understanding around

00:16:20.000 censorship that was taking place, the campaigns to promote these vaccines.

00:16:25.000 The effort that was undertaken to promote the idea that they prohibited transmission when there was never any clinical trials undertaken to undergird that claim.

00:16:39.000 And I start to sort of feel a little overwhelmed by what has taken place.

00:16:44.000 This is before we get into excess deaths.

00:16:47.000 This is before we get into the effectiveness of the vaccine.

00:16:51.000 And indeed the threat of coronavirus particularly in its later mutations and the average age of people that were you know sadly albeit expiring as a result of coronavirus itself.

00:17:04.000 So there's no question that from your vantage point the vaccine was more dangerous Not only than coronavirus, but exponentially more dangerous.

00:17:17.000 And according to even what we've discussed so far, this information cannot have been, the NIH say, or the numerous other agencies involved in the recommendation of these measures cannot have been oblivious to that fact.

00:17:34.000 So already we're in some extraordinary territory.

00:17:37.000 Yeah, well, you know, I think that there's this inability to, or there's this desire not to look at the data.

00:17:46.000 And I talked to Janet Woodcock, who was at the time, she was the acting head of the FDA, And I said, Janet, you know, we have a big problem here in the VAERS database.

00:17:58.000 And she said, well, that's just because you don't understand how to interpret the VAERS data.

00:18:03.000 And I said, you know, I think I do.

00:18:05.000 And she's basically trying to gaslight me into thinking that I don't know what I'm talking about.

00:18:11.000 And nobody ever gets away with gaslighting me.

00:18:13.000 That tends not to work very well.

00:18:16.000 I kept pressing her and I said, well, you know, maybe you can correct me.

00:18:20.000 Maybe you can connect me with one of your experts and we can have a on the record discussion about what's in the database because there's no way that this vaccine is safe.

00:18:30.000 And there was never a meeting.

00:18:33.000 Between me and any of the people that worked for her on telling me, showing me how I got it wrong.

00:18:41.000 So they're basically not willing to engage, and that's been the whole thing.

00:18:46.000 You know, with this record-level data that we're going to talk about from Barry Young that was released from the New Zealand Ministry of Health, You know, that signal is crystal clear.

00:19:00.000 And I contacted the CDC and the FDA, and I offered this data to them, and I also had a journalist in the medical field do the same thing, so that it wouldn't be, you know, me coming.

00:19:13.000 But this person I disclosed it to, he agreed that there was a huge safety signal that the FDA and the CDC should be looking at this.

00:19:22.000 It was offered to the CDC, to the FDA, to the California Department of Public Health, to Moderna and to Pfizer.

00:19:30.000 All of them didn't want to look at the data.

00:19:33.000 And the reason they don't want to look at the data, Russell, is very, very simple.

00:19:37.000 If they look at the data, they have to agree that there's a safety signal and they have a responsibility to stop the shots.

00:19:46.000 The whole deal is run from the data, make sure you don't see the data, because then you have plausible deniability.

00:19:53.000 And so the CDC's response was, you know, it's safe and effective, and we're not interested in seeing any information that would be counter to what we know, because it must be wrong.

00:20:04.000 And so they basically put blinders on and they refuse to see it.

00:20:09.000 Now, the interesting thing is that the CDC never has any vaccination records.

00:20:15.000 They only have the death records and they only have summary stats on how many people have been vaccinated.

00:20:21.000 So they can't do the kind of analysis that is required in order to find a safety signal.

00:20:26.000 So they don't actually know.

00:20:28.000 Because they don't have the data to actually know.

00:20:31.000 And so they tell the states, hey, it's safe and effective.

00:20:35.000 And the states who have the data and could actually do the analysis don't even bother to do the analysis because the CDC tells them it's safe.

00:20:45.000 So it's the blind leading the blind.

00:20:48.000 The CDC basically says, hey, no need for you to look at the data.

00:20:53.000 It's safe.

00:20:54.000 And so we did a Freedom of Information Act request on California Department of Public Health.

00:21:00.000 And we said, hey, can you show us your time series cohort analysis of your data?

00:21:05.000 And or any, in fact, we asked, is there any analysis that you did to determine the safety

00:21:11.000 of the vaccines?

00:21:12.000 Because the only people who could do the analysis are the states.

00:21:14.000 And if any state is going to do it, it has to be California because they're huge.

00:21:17.000 They have a lot of people.

00:21:19.000 You know, they have the resources to do this.

00:21:20.000 It doesn't take very long.

00:21:23.000 And they responded and we said, we have no analysis whatsoever.

00:21:26.000 We have no records responsive to your request.

00:21:29.000 So in other words, California has never done a safety analysis of this vaccine.

00:21:34.000 And the CDC is incapable of doing a safety analysis because they don't have the record level data.

00:21:40.000 And so, again, it's the blind leading the blind, and so I contact California Department of Public Health.

00:21:45.000 I said, hey, you know, we see this huge signal in the New Zealand data.

00:21:50.000 It has to be in your data, too, because it's not only in the New Zealand data, it is also in the UK data, it's in the Israeli data, it's in the Maldives data, and it's got to be in your data, too.

00:22:03.000 Could we have a discussion?

00:22:03.000 I'm sure of it.

00:22:04.000 The answer is no, we don't want to see the data and we don't want to talk about it.

00:22:07.000 Extraordinary because it seems to go beyond myopia into willfully turning the other way, although blindness may yet be an adverse side effect.

00:22:17.000 We don't yet have that data.

00:22:19.000 It's possible that blindness is one of the things we'll have to look into in more detail.

00:22:22.000 So from Initial intrepid personal interest, you quickly reach the point where it became plain that there was a lack of data available, that the interpretation of data was willfully inadequate, as you've not implied deliberately so, but rather that there's a kind of institutional recalcitrance when it comes to countenancing difficult facts, particularly if those facts are counterintuitive or counter-profitable or whatever.

00:22:53.000 I love it.

00:22:54.000 Whatever the agenda could be.

00:22:56.000 But I want to talk now more specifically about Barry Young and New Zealand.

00:23:00.000 Now, my limited understanding of this issue is that Barry Young is under investigation, is in fact currently on trial for stealing or inappropriately misusing that data.

00:23:09.000 Now, is it true that that data reveals that the vaccine is far more likely to cause fatality than has ever previously been suggested?

00:23:20.000 And from your previous answer, I can understand that your supported Barry Young in these revelations and perhaps

00:23:29.000 appointed a journalist.

00:23:30.000 So can you tell me what it was your involvement in Barry Young and these New Zealand whistleblower

00:23:36.000 revelations?

00:23:37.000 Yeah, so let me start with the punchline, which is that when you analyze the data and

00:23:41.000 you look at over all shots, over all ages, what you see is about a increase of one death

00:23:53.000 per thousand doses on average.

00:23:56.000 And that the people that were killed by the vaccine that shouldn't have died.

00:24:01.000 And so that corresponds to 13 million people killed worldwide.

00:24:07.000 It corresponds to about 675,000 people in the United States being killed and about 150,000 people in the UK being killed.

00:24:17.000 And so that's what Barry's data reveals.

00:24:20.000 Now what's important about Barry's data is that this is the first time in history

00:24:24.000 that we have ever seen record level data for a vaccine.

00:24:28.000 It's always kept hidden from public view.

00:24:31.000 So these are public health records that are always kept hidden from public view.

00:24:35.000 There's no country in the world that publishes this data that was leaked out.

00:24:40.000 There is no state in the United States that publishes this data.

00:24:45.000 Everyone keeps it hidden from public view.

00:24:48.000 This is public health data.

00:24:49.000 It belongs to the public.

00:24:51.000 And this is the first time in history, this has never happened before.

00:24:56.000 This is a big moment.

00:24:58.000 This is the first time we get to peek behind the curtain and find out what the man looks like behind the curtain.

00:25:05.000 So what Barry did is completely game-changing.

00:25:09.000 And for me, it's like, this is the Holy Grail.

00:25:15.000 This is what I've been searching for.

00:25:16.000 This is what we've been denied all this time, is access to the data that would show the truth.

00:25:23.000 And nobody, nobody, nobody who is supporting the pro-vaccine narrative has ever called for any data transparency of the public health data.

00:25:34.000 There is not a single person calling for data transparency.

00:25:34.000 Nobody.

00:25:38.000 But, you know, there's not a paper that's published in the peer-reviewed literature, and I've checked, They're saying that, hey, if you withhold the data from the public, it leads to better health outcomes.

00:25:51.000 You know, so if you want better health outcomes, you need to publish the data.

00:25:55.000 So what Barry did, two things.

00:25:58.000 He basically, he exposed the data.

00:26:02.000 Number two is he showed- How did he get that?

00:26:04.000 Sorry to interrupt you.

00:26:05.000 Barry, what, worked for who?

00:26:07.000 And how did he get that data?

00:26:11.000 That's a New Zealand state agency.

00:26:15.000 I'll get into that, but here's the important thing.

00:26:19.000 He proved that you could publish the data And nobody's privacy would be violated, but there's still statistical fidelity in the data.

00:26:31.000 So we can obfuscate the data, but still have the statistical fidelity so we can do the analysis without violating anyone's privacy.

00:26:39.000 This was thought to be impossible, and Barry has proved that it is possible to do, and not even the New Zealand Ministry of Health, or Health New Zealand, was able to figure out Whose records were published?

00:26:53.000 They know it's their records, but we obfuscated it so there's no privacy violation, and this frustrates the hell out of them.

00:27:01.000 Because the privacy violation would be the defense against revealing the information.

00:27:05.000 Yes, that's the excuse.

00:27:07.000 How did Barry get that information?

00:27:10.000 He worked for New Zealand Health for a government agency.

00:27:15.000 He's an Oracle 11 DBA.

00:27:17.000 He's a database administrator.

00:27:19.000 He's a specialist on Oracle.

00:27:20.000 He was tasked with creating the database for this pay-per-dose system in New Zealand.

00:27:26.000 There are two systems.

00:27:28.000 One of them is pay-per-dose, and it's just a way that they do billing.

00:27:34.000 He has over four million records of the 12 million records that exist in New Zealand.

00:27:40.000 So it's a sample of all the vaccination records, and it would be great to get everything, but it's only people who've been vaccinated.

00:27:48.000 It's not unvaccinated people.

00:27:50.000 So a lot of people will like to say, oh, well, that's just people who are vaccinated.

00:27:55.000 You need a control group.

00:27:56.000 And if you don't have a control group, we can't tell anything.

00:27:59.000 And these are, you know, they call themselves scientists and they say, well, we have to have a control because, you know, how can you see a signal if you don't have control?

00:28:06.000 Well, it's very easy.

00:28:08.000 You know, so if there's a mass shooting, for example, and 25 people are gunned down and they're all dead, police arrive.

00:28:17.000 Do you think they're going to say, well, let's do a comorbidity analysis and we really need to look at the medical records because they could have died right before the shot?

00:28:26.000 You know, you know, there are some things that are pretty obvious.

00:28:29.000 If you give people the shot and six months later, half of them are dead, you don't need a control group on that one.

00:28:37.000 You know, if it's for all age groups and so forth.

00:28:39.000 Now, I'm not saying the signal is that large, but the point is that you don't need a control group.

00:28:45.000 You know, scientists have been trained like, oh, well, you can't tell causality unless you have a double blind randomized control trial. 0.98

00:28:51.000 And that's just bullshit. 0.98

00:28:53.000 You know, People are noticing this themselves. 1.00

00:28:56.000 They've never seen so many unexpected deaths, right?

00:29:01.000 And they're putting two and two together, and they didn't need a control group for that.

00:29:06.000 Pausing the conversation with Steve there for a moment to bring you this commercial.

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00:29:57.000 It's a group that's as large as you indicate, 4 million, then that's such an extraordinary

00:30:04.000 size and like also from what little analysis we've done, it's like various batches and

00:30:11.000 that there's huge variety between the batches which again in itself, as someone pointed

00:30:15.000 out on our stream, so thank you for that the other day, that at the same time you couldn't

00:30:19.000 talk about vitamin D or natural immunity, the term bad batch was purged from Google

00:30:25.000 and much of Barry's revelations include the disparity and variation between different

00:30:32.000 batches.

00:30:33.000 I understand what you're saying, so there are people that you absolutely, because the

00:30:36.000 sample size is so large, there are people dying that you just simply wouldn't anticipate

00:30:41.000 dying.

00:30:42.000 I know that there are extraordinary narratives emerging around such subjects like low-risk

00:30:45.000 Long Covid and even with myocarditis and pericarditis, there was an attempt to sort of imply that these could be conditions emerging from coronavirus itself to mitigate the stories that have subsequently been verified and accepted by Pfizer.

00:31:03.000 That is concomitant with the vaccination process.

00:31:06.000 In addition to the AstraZeneca story here in this country, where for a while they tried to mitigate and control that story, but eventually became unavoidable.

00:31:16.000 But Barry Young's revelation, if what you're saying is true, then Barry Young is a kind of Edward Snowden of the pandemic era, finally giving us data that just cannot be countenanced without new and extraordinary levels of propaganda.

00:31:32.000 And, you know, just like Snowden, they're criminalizing the guy who's trying to expose the criminal.

00:31:40.000 Yeah.

00:31:41.000 Right?

00:31:41.000 You know, so they're arresting the wrong guy.

00:31:43.000 Yeah.

00:31:45.000 Because what Barry did is he looked at the data and he did a lot analysis.

00:31:50.000 And lot analysis are actually pretty hard.

00:31:52.000 And I haven't, you know, even had a chance to look at the lot analysis.

00:31:56.000 What does that mean?

00:31:57.000 So the lot analysis is for lot number one, who was it given to, how many people died, what percentage of the people died, and it's confounded because of things like what was the average age of the people who got it and when was it given.

00:32:09.000 So if you have a lot that was given to very old people at the very beginning of the vaccination period versus a lot that was given to very young people very late in the pandemic.

00:32:26.000 Those are going to have completely different percentages of people who died.

00:32:30.000 And so you have to take all of that into account and you can be fooled very easily if you don't do a careful analysis of that.

00:32:36.000 And so I just focused on the big picture.

00:32:38.000 There's a standardized way to do this.

00:32:40.000 It's called a time series cohort analysis.

00:32:43.000 It's very easy to do.

00:32:44.000 We have a tool that does it as soon as we got the data.

00:32:47.000 It took us two hours to run through a program.

00:32:49.000 It took us five minutes of effort to format the data.

00:32:54.000 And then we waited two hours, and out pops this file, which we bring into an Excel spreadsheet, and then we can do these data visualizations.

00:33:02.000 There are four different independent variables, and we have graphs of all four.

00:33:09.000 So there's this little dashboard, so to speak, and then you can move the knobs.

00:33:13.000 There are four different knobs you can move, and you say, oh, what if I move this knob

00:33:18.000 and move this knob?

00:33:19.000 And you see that you have a signal, you have this huge signal that happens

00:33:23.000 no matter how you turn the knobs.

00:33:26.000 The only way that can happen is if the vaccines are killing massive numbers of people.

00:33:32.000 And so this is how we get the estimates that it kills basically one person per thousand doses,

00:33:38.000 and that's how we get the numbers.

00:33:40.000 And those numbers, they correspond with other analyses that other people have done.

00:33:44.000 So Dennis Rancourt did an analysis, he found very similar numbers,

00:33:49.000 one death per 800 people in large populations, very close to our number of one per thousand.

00:33:56.000 And so his estimates of 17 million people killed worldwide, very similar to 13 million people worldwide.

00:34:03.000 But at this point, we're rearranging deck chairs on the Titanic here, because that thing has killed over 10 million people worldwide, and nobody's paying attention.

00:34:13.000 And nobody wants to have a little debate with me.

00:34:16.000 Let's have a discussion.

00:34:17.000 Like, before the show, I sent an email to the UK ONS, the Office of National Statistics, and I sent it to Sarah Call, and I sent it to the data people, you know, just to make sure everybody got it, and there's no response.

00:34:36.000 I called Sarah on her phone, I sent her direct email to her direct email address, I heard

00:34:44.000 nothing.

00:34:45.000 I said, Sarah, hey, would you like to go over the New Zealand data with me?

00:34:50.000 I'm very skilled at interpreting it and let's chat about it.

00:34:54.000 And they don't want to talk about it.

00:34:57.000 They don't want to talk about it.

00:34:59.000 Nobody wants to talk about it.

00:35:01.000 And nobody wants to go on camera in a recorded discussion where we can have a discussion like we're having now, and let's talk about what the data shows.

00:35:10.000 Nobody wants to see that.

00:35:12.000 That is a sign of a very corrupt Yes, the total lack of transparency and an unwillingness to debate and the censoring of your opponents and the smearing of opponents, as happened to Robert Malone Bachari and all the names that I usually list, is an indication that there is some malfeasance rather than ineptitude potentially at play.

00:35:34.000 And I imagine that the legacy media, other than regional or Antipodean or New Zealand news, are not covering this in detail, except to say that there's been sort of a criminal act Committed by Barry Young.

00:35:46.000 And one thing just to clear up on this please, Steve.

00:35:50.000 Is it then that whilst Barry Young didn't publish the data of the personal identities or ages, that the data set that you have initially included the information on the ages?

00:36:03.000 Did it include at what point they received the medication as well?

00:36:08.000 Wow, so it's a pretty complete data set and the New Zealand government must have

00:36:13.000 had it and like unlike in California where they don't track how many people

00:36:16.000 are being vaccinated in New Zealand they do so in New Zealand they

00:36:20.000 would have at some point surely been exposed to the reality wait a second it

00:36:24.000 looks like a significant unprecedented number of people are dying as a

00:36:28.000 result of this vaccine. Right but you see they never looked that's the

00:36:33.000 problem.

00:36:33.000 They never looked, and they won't look now.

00:36:36.000 Their focus is on prosecuting Barry.

00:36:38.000 You know, Barry basically went public with the public health data because he's trying to save lives.

00:36:44.000 He's basically risking his life in order to save people's lives.

00:36:48.000 And he knew that he could spend seven years in jail, right?

00:36:52.000 The charges against him have a seven-year prison time.

00:36:57.000 if he's found guilty. So he knew he could say he would be sentenced to seven years in jail

00:37:04.000 for this. And the reason he did it is because this guy has courage and he's a hero. He's the first

00:37:12.000 person on the planet ever to basically say, hey, I'm going to do this.

00:37:19.000 Come hell or high water.

00:37:21.000 And if they put me in jail for seven years, I will not see my family for seven years.

00:37:26.000 And he was willing to sacrifice himself for to save lives, and I have the utmost respect for him doing that.

00:37:37.000 And before he went public with this, I advised him, hey, you need to send an email to your supervisors and let them know that you found a safety signal that's the right thing to do before you go and release this data.

00:37:53.000 And so he did that.

00:37:55.000 He sent them an email.

00:37:57.000 I said, you should send them my analysis, and he didn't do that.

00:38:02.000 Because, you know, he could be mocked as saying, well, he's not a statistical expert.

00:38:06.000 But if he sends the analysis that we did with the time series cohort analysis, they shouldn't be able to have a response saying, well, he didn't consult with anyone.

00:38:16.000 So basically, he consulted with me.

00:38:18.000 I consulted with Professor Norman Fenton in the UK, who's arguably the top risk vaccine expert in the world.

00:38:27.000 And I also consulted with Yale professor Harvey Risch, who's one of the top epidemiologists in the world as well.

00:38:35.000 And I told him that we all felt that there was a huge safety signal here

00:38:39.000 and that he was doing the right thing.

00:38:41.000 And by going public, he would be saving lives.

00:38:44.000 And so he knew, it wasn't just his own analysis.

00:38:48.000 He was relying on expert opinion of the top people in the world

00:38:53.000 before he went and made this data public.

00:38:56.000 And he made it public in a responsible way where the identities of the people would not be revealed.

00:39:03.000 And so there's nothing wrong with it.

00:39:04.000 But, you know, the New Zealand Health wants to stop the spread of this data that they admit is anonymized.

00:39:15.000 They basically want to stop the spread of the truth.

00:39:18.000 And so what they did is, I had my data on a Wasabi server.

00:39:23.000 They had Wasabi take my data down, all of it. 1.00

00:39:27.000 And Wasabi never talked to me. 1.00

00:39:30.000 They just believed them.

00:39:31.000 They took my data down and they said, well, we're going to do an investigation.

00:39:35.000 But they never even called me to hear my side of the story.

00:39:38.000 It's almost like the news media nowadays, where they only want to hear one side of the story.

00:39:42.000 What's even worse is that Kevin McKernan, I was asking, hey, I need bulletproof hosting, you know, they nuked my data.

00:39:48.000 And Kevin McKernan, who is the guy who exposed the DNA contamination, he has tons of data.

00:39:56.000 He has almost a terabyte of data on Mega, which is a platform hosted in New Zealand.

00:40:01.000 And what happened is after he mirrored my database on his server, Mega basically nuked his entire Everything that Kevin had put up there, a terabyte of data, and he didn't have it backed up.

00:40:17.000 They nuked it and they said, we're not going to give you access to the data because you have a gross violation of our terms of service, which is preposterous because this is data that I created.

00:40:30.000 This is derivative work from the New Zealand data.

00:40:34.000 And it belongs to me.

00:40:36.000 I never complained to Mega that my data was being misused.

00:40:41.000 And they took it down and they deleted all his data.

00:40:45.000 I mean, Mega is a, I mean, like, like, you want to stay away from that company.

00:40:53.000 Like, stay far, far away.

00:40:55.000 Do not post your data on MEGA.

00:40:58.000 Like, if they can do this to Kevin's data, they can do it to anyone's data.

00:41:02.000 And, you know, their terms of service, their agreement says, oh, and by the way, our liability is, you know, only to how much you paid and maybe we'll refund your money if you win.

00:41:12.000 So Kevin lost hundreds of thousands of dollars and years of research work when MEGA Improperly took him down because the New Zealand Ministry of Health said take it down.

00:41:25.000 I mean, Kevin was certainly outraged and I'm outraged they did that to Kevin's work because Kevin's work is extremely important for the safety of the vaccines and these, you know, the SV40 promoter sequence, that's all Kevin's work.

00:41:39.000 The DNA adulteration in these vaccines, that's all Kevin's work.

00:41:44.000 All that data was removed, deleted, At this point, Steve, doesn't it seem difficult to accept that it's a combination of ineptitude and negligence when we pursue, just off the top of my head, the incredible expenditure on propagandizing those measures, the incredible efforts to infiltrate social media, as revealed in the Twitter files, the censoring of legitimate voices, the amplification of pro-vaccination voices, the attempts

00:42:19.000 To discredit anyone that was inquiring or questioning the effectiveness of vaccines, the ongoing censoring and smearing of anybody that speaks out on these issues.

00:42:31.000 It seems to me to be a matter of such scale that it's, and indeed just if we were to take in isolation Barry Young's revelations, if we take this data and you say it's somewhat corroborated by independent studies...

00:42:49.000 No, it's totally consistent.

00:42:50.000 Everything's consistent.

00:42:53.000 And then, of course, what you've just said, again, about the deletion of the data.

00:43:00.000 But what we're dealing with is almost an unconscionable, maybe indefatigable force.

00:43:08.000 That we'll go to any lengths to ensure that these kind of stories aren't promoted.

00:43:14.000 I mean, if you think of some of the pivotal moments during the pandemic, whether they're sort of things that are broadly expected, like people learning, or maybe subsequent waves, even if we say that the initial wave was impactful, the subsequent waves of coronavirus were not as impactful as was assumed and as was promoted, that lockdowns didn't work, that the medications are not effective all the

00:43:38.000 way up to now the medications to a significant degree are lethal, that we're

00:43:43.000 censoring true information, that we're promoting untrue information, that if that is almost

00:43:48.000 something that can't be reckoned with, because how would what kind of judicial process would be

00:43:55.000 required to right these wrongs?

00:43:58.000 What kind of interests would have to be opposed?

00:44:01.000 We're talking about something at this point that, you know, take the COVID inquiry.

00:44:04.000 What's interesting about the COVID inquiry in the UK?

00:44:08.000 is again it's a lack of latitude and it's lack of depth. It seems in fact organized simply to

00:44:15.000 conclude that there was some just a couple of individuals that were a bit laissez-faire and a

00:44:23.000 few poor choices. Matt Hancock, the health minister's a bit of a fool and this but you 0.99

00:44:28.000 know like they don't even look at sort of information that's I would say we're not in the 0.95

00:44:33.000 you know the periphery of the dark net to observe that Jonathan Van Tam who is a notable public

00:44:39.000 voice in this country now works for Moderna. That Rishi Sunak invested in Moderna before

00:44:45.000 becoming chancellor and then prime minister. That I myself have been subject to an investigation by

00:44:52.000 Moderna and subsequently Beans experienced an incredible series of media attacks that have had unbelievable consequences and it seems to me that to address this issue would take like what kind of machine other than mass popular uprising could ever bring about the reckoning that's required if what you are saying is true Steve?

00:45:21.000 What Would be required.

00:45:23.000 How are you maintaining your optimism?

00:45:25.000 What are your next steps and what are your personal fears and what resources do you have to continue to operate at this level when it's likely that the consequences will be quite serious?

00:45:36.000 Yeah, so I think that what's going on is most people are believing the so-called experts.

00:45:45.000 And like, you know, our friends, for example, I'd say we lost 98% of our friends because

00:45:52.000 they think I'm mistaken, I don't know what I'm talking about, I'm not qualified and so

00:45:59.000 forth.

00:46:00.000 And so anybody who opposes this narrative is put in the same sort of situation I am.

00:46:05.000 And, you know, I talked to a Silicon Valley chief executive that I know, and I said, hey,

00:46:14.000 And I told him what I was doing nowadays.

00:46:15.000 And I said, do you want to talk about it?

00:46:17.000 And he said, no, it'd be like if you were to come to me and said the moon is made of Swiss cheese, I wouldn't want to talk to you about it.

00:46:23.000 And so that's what we're dealing with.

00:46:25.000 We're dealing with people who believe that anybody who opposes what the Harvard professors say or what the CDC says and what the FDA says, is wrong, and that's just not the case.

00:46:38.000 People need to hear both sides, and they're not hearing both sides.

00:46:41.000 The media is only covering one side of the story.

00:46:43.000 They never allow any kind of dissent to come out, and of course the censorship, you know, is just huge.

00:46:53.000 But what gives me hope is things like the Andrew Bridgen meeting in Parliament, because Parliament now has a way Now that the—see, the genie is out of the bottle.

00:47:05.000 Barry basically exposed the—you know, the genie's out of the bottle.

00:47:10.000 Everybody knows now what the data shows, and there's only one way to interpret that data correctly.

00:47:15.000 Now, a lot of people don't know how to analyze the data, but if you do it correctly, There's only one result, which is massive deaths.

00:47:25.000 And so we now have over 20 members of parliament who have now said, hmm, this isn't looking good.

00:47:34.000 The data is now on the table.

00:47:37.000 It is unambiguous.

00:47:38.000 There's only one way to interpret it, and this vaccine is going down.

00:47:42.000 Now, they have to say, no, so which side of the narrative do I want to be on?

00:47:46.000 Do I want to be on the right side of history or the wrong side of history?

00:47:49.000 And so They're starting to come to grips with that, and they're wondering, like, hey, if we announce this to the public and let them know, we're going to have mass panic.

00:47:57.000 And I said, no, you're going to have mass relief.

00:47:59.000 You're going to have mass relief that people finally are waking up to what's going on.

00:48:04.000 Because, look, in America, 42% of the people want to bring a class action against, would join a class action against the drug, the vaccine companies.

00:48:14.000 42% of Americans They don't want to join a class action.

00:48:19.000 That would be the largest class action in history.

00:48:24.000 So the public knows it, but the legislators are pretending like the public doesn't know it because they're like, you know, we can't believe that survey.

00:48:34.000 But it's from Rasmussen Reports, which is one of the top pollsters in the country.

00:48:40.000 And they've been very accurate historically on their polls.

00:48:44.000 Nobody's running a poll that shows anything different.

00:48:47.000 Russell, they won't even ask the question.

00:48:50.000 And 25% of Americans know someone who died from the vaccine.

00:48:55.000 In fact, my chauffeur here who brought me today, I asked him, hey, do you know anyone who died from the vaccine?

00:49:00.000 He said, yeah, I know four people.

00:49:02.000 And I said, really?

00:49:03.000 And he said, yeah, they're drivers.

00:49:06.000 They're chauffeurs like me.

00:49:07.000 And I said, how many chauffeurs do you know?

00:49:09.000 And he said, well, I know a lot.

00:49:10.000 And I said, what's a lot?

00:49:12.000 Because I always like to quantify these things.

00:49:14.000 He says, yeah, I know 50.

00:49:16.000 Okay, to have four deaths in 50 people?

00:49:19.000 Four vaccine deaths in 50 people?

00:49:21.000 Are you kidding me?

00:49:22.000 Like, these are anecdotes that I don't have to go and dig for them.

00:49:27.000 They come to me.

00:49:29.000 I mean, this is like on the trip here.

00:49:31.000 that we just get into a little conversation like this.

00:49:34.000 And so these anecdotes tell the story because the data that we're getting

00:49:38.000 from the public health authorities, we can't find a signal

00:49:41.000 because they're not giving us the data.

00:49:43.000 But you can see the signals from the anecdotes and you can't have an anecdote like my driver had

00:49:48.000 if the vaccines aren't killing massive numbers of people.

00:49:51.000 I mean, I'm not saying that the vaccines are killing three out of 50 people.

00:49:56.000 No way.

00:49:56.000 The vaccines are killing, on average, about one in a thousand.

00:50:00.000 This guy is a little bit off the statistical norms.

00:50:03.000 But the point is that if the vaccines were perfectly safe, my driver doesn't exist.

00:50:09.000 That story couldn't have existed.

00:50:11.000 Yes.

00:50:11.000 Yeah.

00:50:12.000 So what gives me hope is that people are realizing it because they're seeing the death.

00:50:18.000 25% of Americans know someone who died from the vaccine.

00:50:20.000 That's never supposed to happen.

00:50:22.000 That's never happened for any, you know, shots in history.

00:50:25.000 And this is, I mean, that is a statistic that nobody wants to replicate.

00:50:31.000 They don't want to do the polls.

00:50:33.000 No polling organization will try to replicate that poll.

00:50:36.000 But, it's happening, and it's moving, and, you know, what's going to happen is that the Members of Parliament are going to require that the UK ONS release the record-level data, because they're going to say, hey look, look what happened, Barry released it, nobody died!

00:50:55.000 Nobody died, you know, because the information was released.

00:50:58.000 One in a thousand?

00:51:00.000 No, no, but nobody died because the information was released.

00:51:02.000 Of course.

00:51:02.000 And nobody complained about, oh, my privacy was violated.

00:51:05.000 So they're going to go to the UK ONS and say, why can't you do the same thing that they did in New Zealand?

00:51:13.000 And what they should have a hearing.

00:51:17.000 Where they ask the ONS people that question in a hearing in Parliament.

00:51:24.000 And when that happens, Russell, that will bring the house down because the UK data will show the same thing that the New Zealand data shows.

00:51:35.000 And it will show that the ONS is incompetent To be able to spot safety signals in the data and they will be embarrassed beyond all recognition. 0.98

00:51:46.000 It will show just how naive, stupid, and inept these public health agencies are that they can't even properly analyze their own data. 0.99

00:51:58.000 I think perhaps Barry Young may be the turning point. 1.00

00:52:02.000 At least that's what I hope.

00:52:03.000 It'll be very interesting to see how that data is disparaged, discredited, and suppressed, or if there will be... It's going to bite them.

00:52:11.000 It's going to bite them. 0.75

00:52:12.000 You know, that's the thing.

00:52:14.000 If they try to discredit this data... So first of all, look, I got the data, and I was able to verify the records.

00:52:22.000 And I statistically analyzed this data, like, all sorts of different ways.

00:52:27.000 Nobody could have created this data if it wasn't real, because it met all the tests that I put it through.

00:52:33.000 I mean, I put it through tests that nobody could have predicted.

00:52:36.000 And, you know, this thing, like, it was just so consistent with what you expected to see and you saw it.

00:52:44.000 And so the data is totally legit.

00:52:47.000 I personally verified it.

00:52:49.000 And we had the data obfuscated so that nobody's privacy was harmed.

00:52:54.000 And so we now have a data set where you'll look at it.

00:52:57.000 There's no way to come to the conclusion if you're competent.

00:53:00.000 What this will reveal, Russell, is very interesting.

00:53:02.000 It will reveal how many people are inept in terms of analyzing data because they never had this data before.

00:53:09.000 Researchers have never seen this data before because it's kept hidden, so they don't even know how to analyze it correctly.

00:53:16.000 And it's so simple.

00:53:17.000 You know, there are four independent variables.

00:53:19.000 You vary all four.

00:53:20.000 There's the same effect.

00:53:21.000 I mean, it is brain-dead simple to do it.

00:53:24.000 And everybody likes to take their own little analysis and say, well, I'm ignoring everything that he did.

00:53:29.000 Let me do my analysis.

00:53:30.000 I'm going to go and look at the, you know, and, and it's, it's not the right way to do it.

00:53:36.000 Steve, thank you so much for joining us.

00:53:37.000 You can stay up to date with Steve's work on Kirsch at Substack.

00:53:42.000 That's K-I-R-S-C-H, Substack. 1.00

00:53:46.000 To study these revelations in more detail.

00:53:50.000 I'm excited to see Dr. John Campbell take a look at and analyze this data.

00:53:55.000 That'll be exciting.

00:53:57.000 Steve, thank you so much for joining us today.

00:53:59.000 Thanks for the incredible work you've done and the personal risks you've taken to bring this data to our audience.

00:54:04.000 Thank you so much.

00:54:05.000 Thank you so much.

00:54:06.000 I know you've made a lot of personal sacrifices to tell the truth and we really appreciate what you've done.

00:54:15.000 Click the red Awaken button to join our locals community to get early access to interviews, readings from the holy scriptures and the Bhagavad Gita, and to talk about solutions because we're going to have to change the world together.

00:54:27.000 I want to welcome some of our new members like JuniorHude3, DollarDiaz, RockyDontTrip, SwearerMicho and SlappyT.

00:54:34.000 Join us tomorrow, not for more of the same, but for more of the different.

00:54:37.000 Until then, if you can, stay free.

00:54:49.000 Switch on, switch off.

00:54:50.000 Man, he's switching.

Stay Free - Russel Brand - December 07, 2023

BOMBSHELL New Zealand Vaccine Data Breach - Steve Kirsch Reveals SHOCKING Findings - Stay Free #262

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