Transcript Of Barry Youngs First Whistleblower Video - Interview with Liz Gunn (short edited 9min version of video)
Right. Well, I was involved with building a project, helped with implementing a vaccine payment system for our providers. It's called a pay per dose system. So that means that every time someone gets vaccinated, they get, they get a payment for it as a provider. And I helped build it, I implemented it. Um, and when I was looking at the data, which is part of my job, I noticed some discrepancies with the dates of death. People getting, people dying within a week of being vaccinated. So what did you notice when you first started to look at this data as you were building it? Well, as soon as the system went live, we noticed that people were dying almost straight away after being injected. So that sort of prompted my curiosity a bit and so I dug a little deeper. And I am a scientist by nature. I love science. It's my all time favorite. I've got a master's degree in science. Nobody knows this data. Nobody but me in New Zealand has seen this data. Now I'm giving it to the world. Explain why? Explain that. Because it's a payment system and I'm the database administrator for it. I'm the only one. Because New Zealand is a small country, you can get away with one database administrator to do this. So I'm in a unique position in the world and because New Zealand is a tier one country with really good it, I was able to manage and build the system and be the only database administrator needed to look after it. In other countries like America or Britain, you'd need a whole team of people. So it would be very difficult for one person to get access to all of this information. But in New Zealand, because of the size and because it's got really good it, I happen to be the one a lot of people want to know what was my batch? What can you do to help Kiwis with that? Okay, so what I did with the data was look at the top ten batches that had a high death count, a high mortality rate, and I put them on a chart which you can see up there. So it's got a batch ID, which is our internal number for a batch. But you can easily get the PfizeR batch ID from that. It shouldn't be too difficult. Tell us more about that because a lot of people will say, hey, that's only the top ten. I want to know my batch. What would you advise? Yes, you can do that. There's a website, find my batch for the whole world that can actually find that. And we can list this on a website, the whole number of batches there are 119 individual batches so far in New Zealand. 119 of the Pfizer. Of the Pfizer, actually, no, of all of them, because we have Moderna, we have AstraZeneca, but they're only few and far between. Mostly it's Pfizer. Mostly it's Pfizer in New Zealand. So people can find that. Find my batch? Yes. They should be able to. Yes. So what I did was our internal batch ID. I counted the number of vaccinated within that batch and then I found out who was dead. Wow. Let's have a look. And so we then look at the percentage of the ratio. So do we know if these are all Pfizer, the top ten? Yes, they are. And this is Pfizer's batch number one. We've had 711 from batch number one vaccinated. 152 of those died, which makes a 21% percentage death. Death rate from mortality rate. They are high. Now, there are different ways to look at the data. You can slice it and dice it. So another way I looked at it was, are the vaccinators themselves? What are they doing? Are we looking at some who have got a higher mortality rate than others? And sure enough, if we look at the next one, unfortunately, there are. So what we have here are the top ten vaccinators who have the highest ratios of mortality. For privacy reasons, we have redacted the names of those jabbed and the names of those jabbing. So we've just called it vaccinator one. Yeah, but these are individuals. These are real people. These are real numbers. This is government data. So the top V one has vaccinated 246 people. And 60 of them are now no longer with us. That is nearly 25%. One in four. Nearly one in four that that person vaccinated is now dead. And you can come up with any number of reasons for it, but this should never happen. This should never happen. If they were all doing their job correctly, if there's a normal vaccine, it would be zero point 75. And if you were arguing, okay, there was one vaccinator who was incompetent, not doing the job properly, that's an aberration. But look at the other numbers. So it looks. Then we start to say, what is it they were putting into people's bodies? Because the uniformity is what they were putting in. Look at this. 1621 by vaccinator. The third highest vaccinator, 621. 104 people dead. Nearly 17% of the people they jabbed. And unless they go around terminally ill, cancer wards and injecting people who they know are going to die, then there is no other explanation for this death. And why would they be doing that anyway? It doesn't make any sense. The vaccine is meant to protect those people. On the left there, the big red line, is the Christchurch earthquake event. So that is the outlier, and that's a lot of people died on that day. From there, the next line, where you get more than 120 people dying is sometime 2012. Then you get nothing for a yRight. Well, I was involved with building a project, helped with implementing a vaccine payment system for our providers. It's called a pay per dose system. So that means that every time someone gets vaccinated, they get, they get a payment for it as a provider. And I helped build it, I implemented it. Um, and when I was looking at the data, which is part of my job, I noticed some discrepancies with the dates of death. People getting, people dying within a week of being vaccinated. So what did you notice when you first started to look at this data as you were building it? Well, as soon as the system went live, we noticed that people were dying almost straight away after being injected. So that sort of prompted my curiosity a bit and so I dug a little deeper. And I am a scientist by nature. I love science. It's my all time favorite. I've got a master's degree in science. Nobody knows this data. Nobody but me in New Zealand has seen this data. Now I'm giving it to the world. Explain why? Explain that. Because it's a payment system and I'm the database administrator for it. I'm the only one. Because New Zealand is a small country, you can get away with one database administrator to do this. So I'm in a unique position in the world and because New Zealand is a tier one country with really good it, I was able to manage and build the system and be the only database administrator needed to look after it. In other countries like America or Britain, you'd need a whole team of people. So it would be very difficult for one person to get access to all of this information. But in New Zealand, because of the size and because it's got really good it, I happen to be the one a lot of people want to know what was my batch? What can you do to help Kiwis with that? Okay, so what I did with the data was look at the top ten batches that had a high death count, a high mortality rate, and I put them on a chart which you can see up there. So it's got a batch ID, which is our internal number for a batch. But you can easily get the PfizeR batch ID from that. It shouldn't be too difficult. Tell us more about that because a lot of people will say, hey, that's only the top ten. I want to know my batch. What would you advise? Yes, you can do that. There's a website, find my batch for the whole world that can actually find that. And we can list this on a website, the whole number of batches there are 119 individual batches so far in New Zealand. 119 of the Pfizer. Of the Pfizer, actually, no, of all of them, because we have Moderna, we have AstraZeneca, but they're only few and far between. Mostly it's Pfizer. Mostly it's Pfizer in New Zealand. So people can find that. Find my batch? Yes. They should be able to. Yes. So what I did was our internal batch ID. I counted the number of vaccinated within that batch and then I found out who was dead. Wow. Let's have a look. And so we then look at the percentage of the ratio. So do we know if these are all Pfizer, the top ten? Yes, they are. And this is Pfizer's batch number one. We've had 711 from batch number one vaccinated. 152 of those died, which makes a 21% percentage death. Death rate from mortality rate. They are high. Now, there are different ways to look at the data. You can slice it and dice it. So another way I looked at it was, are the vaccinators themselves? What are they doing? Are we looking at some who have got a higher mortality rate than others? And sure enough, if we look at the next one, unfortunately, there are. So what we have here are the top ten vaccinators who have the highest ratios of mortality. For privacy reasons, we have redacted the names of those jabbed and the names of those jabbing. So we've just called it vaccinator one. Yeah, but these are individuals. These are real people. These are real numbers. This is government data. So the top V one has vaccinated 246 people. And 60 of them are now no longer with us. That is nearly 25%. One in four. Nearly one in four that that person vaccinated is now dead. And you can come up with any number of reasons for it, but this should never happen. This should never happen. If they were all doing their job correctly, if there's a normal vaccine, it would be zero point 75. And if you were arguing, okay, there was one vaccinator who was incompetent, not doing the job properly, that's an aberration. But look at the other numbers. So it looks. Then we start to say, what is it they were putting into people's bodies? Because the uniformity is what they were putting in. Look at this. 1621 by vaccinator. The third highest vaccinator, 621. 104 people dead. Nearly 17% of the people they jabbed. And unless they go around terminally ill, cancer wards and injecting people who they know are going to die, then there is no other explanation for this death. And why would they be doing that anyway? It doesn't make any sense. The vaccine is meant to protect those people. On the left there, the big red line, is the Christchurch earthquake event. So that is the outlier, and that's a lot of people died on that day. From there, the next line, where you get more than 120 people dying is sometime 2012. Then you get nothing for a year. 2013, doesn't have any. 2014, you got a couple, then nothing. 2016, you got one, then nothing until 2018, where you get a whole bunch, a whole cluster. That's probably due to a flu epidemic, because all these spikes that you see, these black lines previously on the left hand side, they're all due to the winter flu season. So you got to remember that all these deaths happening June, July, August. So in 2018, we had a big flu epidemic. Moving on to the right, you get another one, then the next red one, the Christchurch Massacre, which was in 2019, in March. But from that, you get a cluster. In 2020, a whole bunch. There may have been another bad flu season, we don't know. But then from 2021 midway, you see a black line there appearing, and then it's like a flick of a switch. Suddenly the black lines get closer together and there's more of them, very thick black lines there. So this one here, peak deaths was COVID with or from COVID But then the deaths from COVID if you look at the Worldometer website, it correlates to that. That is the same time. And they say that over 60 people died with or from COVID Then after that, it suddenly, suddenly drops off. So after that, you only get a couple of people a day dying with or from COVID So if you go back to the chart there, in that case, you would expect to see the Black lines disappear because no one's dying from COVID anymore, right? But you're absolutely not. You're seeing the black lines. There are more people dying than ever before. These are the biggest number of deaths we've seen in history of New Zealand. The death rate has gone up 6%, 8% year on year. Even after CovID wasn't a thing, the death rate has still gone up. And that's illustrated here by the. These black lines, which are still going on.ear. 2013, doesn't have any. 2014, you got a couple, then nothing. 2016, you got one, then nothing until 2018, where you get a whole bunch, a whole cluster. That's probably due to a flu epidemic, because all these spikes that you see, these black lines previously on the left hand side, they're all due to the winter flu season. So you got to remember that all these deaths happening June, July, August. So in 2018, we had a big flu epidemic. Moving on to the right, you get another one, then the next red one, the Christchurch Massacre, which was in 2019, in March. But from that, you get a cluster. In 2020, a whole bunch. There may have been another bad flu season, we don't know. But then from 2021 midway, you see a black line there appearing, and then it's like a flick of a switch. Suddenly the black lines get closer together and there's more of them, very thick black lines there. So this one here, peak deaths was COVID with or from COVID But then the deaths from COVID if you look at the Worldometer website, it correlates to that. That is the same time. And they say that over 60 people died with or from COVID Then after that, it suddenly, suddenly drops off. So after that, you only get a couple of people a day dying with or from COVID So if you go back to the chart there, in that case, you would expect to see the Black lines disappear because no one's dying from COVID anymore, right? But you're absolutely not. You're seeing the black lines. There are more people dying than ever before. These are the biggest number of deaths we've seen in history of New Zealand. The death rate has gone up 6%, 8% year on year. Even after CovID wasn't a thing, the death rate has still gone up. And that's illustrated here by the. These black lines, which are still going on.