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Speaker 1: You're listening to a podcast from news talks it B

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Speaker 1: Follow this and our wide range of podcasts now on iHeartRadio.

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Speaker 1: It's time for all the attitude, all the opinion, all

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Speaker 1: the information, all the debates of the now the Leyton

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Speaker 1: Smith podcast powered by news talks it Be.

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Speaker 2: So we are approaching the end of the best of

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Speaker 2: twenty twenty five. One or two to go, and then

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Speaker 2: we're back to what you might call normal, although I'm

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Speaker 2: not sure there is such a thing.

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Speaker 3: I'm looking at a book that's been put.

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Speaker 2: Together by a couple of well more than a couple

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Speaker 2: of people, but it features many writers, many people of

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Speaker 2: authority in their field. Let me give you an idea.

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Speaker 2: The concerned physician, scientist, the journalist, the pharmacologists, the immunologist,

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Speaker 2: the vaccinologists, the oncologists, the statistician, the physicians, the medical leader,

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Speaker 2: the lawyer, the economist, and this considerable number more. The

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Speaker 2: book was structured by Professor Robert Clancy, who is an

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Speaker 2: emeritus professor leading Australian immunologists and pioneer in the field

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Speaker 2: of mucosal immunology. He is known for his research and

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Speaker 2: development of therapies for chronic obstructive pulmonary disease commonly known

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Speaker 2: as emphysema COVID. Through Our Eyes is the title of

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Speaker 2: the book. It is edited by Robert Clancy, explains how

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Speaker 2: Australian governments and health systems complied with instructions from the

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Speaker 2: USA to enrich multinational drug companies. Pharmacists, doctors and other

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Speaker 2: professionals expose harm and loss caused by a seriously misguided response.

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Speaker 2: Clancy are going to assure you does not pull his punches.

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Speaker 2: He's articulate, he's honest, and he's even entertaining. There much

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Speaker 2: to learn from his commentary, both past and future. I

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Speaker 2: enjoyed thoroughly talking with Robert Clancy. It was difficult to

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Speaker 2: get off the hold with him in the end because

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Speaker 2: he was having a good time as well. He loves

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Speaker 2: a good chat. However, here is the interview the book

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Speaker 2: Through Our Eyes, the interrogated Robert Clancy, Emeritus Professor. Clancy

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Speaker 2: has an international reputation in the study of infection of

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Speaker 2: the airways and gut, the way the body processes infection,

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Speaker 2: and the development of vaccines to prevent or modify infection.

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Speaker 2: He was awarded a Doctor of Science by the University

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Speaker 2: of Newcastle for his studies on infection and the immune

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Speaker 2: response of mucosal surfaces. He is a senior clinical immunologist

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Speaker 2: with an ongoing involvement in the management of immune disorders.

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Speaker 2: Now that's a short one. If you want a longer one,

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Speaker 2: I could read you. I could read you just a

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Speaker 2: little bit of this. Professor Clancy, in the team's groundbreaking

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Speaker 2: research into chronic obstructive pulmonary disease, concentrated on the link

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Speaker 2: between the guts and the lung and was able to

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Speaker 2: provide evidence that the best way to create immunity against

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Speaker 2: infection in the respiratory tract was to stimulate the gut

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Speaker 2: immune system, whereby these activated cells migrate to the lung

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Speaker 2: and make antibodies against organisms responsible for the infection. Professor

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Speaker 2: Clancy developed the vaccine broncostat at the University of Newcastle

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Speaker 2: in nineteen eighty five. The broncos Stat vaccine reduces attacks

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Speaker 2: of acute bronchitis to a degree of ninety percent. Professor

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Speaker 2: Clancy is emeritus Professor at the University of Newcastle School

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Speaker 2: of Biomedical Science and Pharmacy. And there's a whole lot more,

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Speaker 2: but it's time to say welcome to the Late Andsmith Podcast.

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Speaker 2: Very glad you agreed to come on. Thank you very

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Speaker 2: much for having me great pleasure. I know that you

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Speaker 2: had a long connection with New Zealand. I'd like to

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Speaker 2: start with you advising us of how strong that was

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Speaker 2: and how long it lasted.

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Speaker 3: Well, I would like to think it continues. I've I

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Speaker 3: guess I've been Look. I've never seen a difference between

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Speaker 3: New Zealand and New Zealanders and Australians except on the

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Speaker 3: rugby field, and that is a huge disappointment to me.

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Speaker 3: We'd make a great team, although I don't think we'd

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Speaker 3: have too many members from this side of the ditchenet.

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Speaker 4: When I started the.

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Speaker 3: Department, when we back again the new Medical School in Newcastle,

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Speaker 3: I had to make a number of appointments and a

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Speaker 3: lot of those appointments were my New Zealand colleagues and friends.

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Speaker 3: I think one of the things that I've known for

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Speaker 3: a long period of time is that health professionals are

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Speaker 3: extremely well trained in New Zealand. No they're well trained

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Speaker 3: here too, of course, but in New Zealand they are outstanding.

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Speaker 3: If you look at my old department that I left

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Speaker 3: in Newcastle when I retired, two of the three senior

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Speaker 3: people in New Zealanders. My closest research colleague for twenty

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Speaker 3: five years was doctor Gerald Pang, who was New Zealand trained.

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Speaker 3: The head of my diagnostic laboratory was a New Zealander.

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Speaker 3: So I can't get away from New Zealanders, and I

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Speaker 3: don't want to because they're good people.

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Speaker 4: So yeah, I did a lot of work in New Zealand.

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Speaker 4: I was.

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Speaker 3: Examiner for the Medical School. Obviously, the professional bodies that

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Speaker 3: I belong to are not Australian, they're Australian and New Zealand.

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Speaker 3: The College of Physicians through to the immunology thing. I

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Speaker 3: was one of the three that began clinically minology in

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Speaker 3: Australia and that's sort of overflowed and included New Zealand.

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Speaker 3: And that involved a number of trips and discussions and developments.

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Speaker 3: So my whole professional and personal life has been as

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Speaker 3: with so many people in Australia, I think I'm talking

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Speaker 3: to one at the moment, guilty.

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Speaker 2: So you've done a lot of backwards and forwards and

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Speaker 2: I think that's a fine thing. The College of Physicians

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Speaker 2: that you just mentioned, which is which is binational, is

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Speaker 2: it still the organization that it used to be.

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Speaker 4: No, no, no, it's.

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Speaker 3: When I became a member than a fellow of the

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Speaker 3: Royal Australasian College of Physicians. It was a very different organization,

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Speaker 3: but then medicine was very different. What happened and what

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Speaker 3: has happened subsequently is the age of specialization. And so

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Speaker 3: we had a college that essentially represented physicians as opposed

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Speaker 3: to surgeons or obstetricians. The surgeons would have their college,

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Speaker 3: the consultant physicians would have their, and then as physicians

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Speaker 3: we became a heart specialist, brain specialists, joint specialists, and

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Speaker 3: all the specialty organizations, including clinically monology developed and looked

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Speaker 3: after the professional needs, and that took away from the

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Speaker 3: College of Physicians the importance of the college, and the

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Speaker 3: college was essentially left in a skeletal form. Prior to

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Speaker 3: this age of specialization, the most prestigious position in the

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Speaker 3: country would be the president of the Royalis Ostillation College

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Speaker 3: of Physicians. And now I don't even know the name

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Speaker 3: of the people who are the presidents because they're essentially

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Speaker 3: a stamping organization to say you've undergone assessment, you are

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Speaker 3: now passed to become a physician. So it's really a

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Speaker 3: gateway to become a physician, and it does very little

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Speaker 3: else but the great sadness, and I'm not sure if

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Speaker 3: this is what you're alluding to, is that it's allowed

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Speaker 3: individuals to creep in that have personal agendas and use

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Speaker 3: the college for their own purposes. Whereas I think a

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Speaker 3: number of us have believed over a long period that

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Speaker 3: the college must have at a more important role and

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Speaker 3: rekindle I think some essential aspects of what it used

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Speaker 3: to have. And this battle has gone on now for

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Speaker 3: at least ten fifteen years, doesn't seem to be any

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Speaker 3: closer to being ended.

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Speaker 2: I think that there's more than just what we've mentioned

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Speaker 2: so far, in various fields, including engineering, just as an example,

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Speaker 2: where the where the organization has been taken over and

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Speaker 2: pushes a well, one could say, pushes a political agenda,

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Speaker 2: if not a financial one, or both together, and it's

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Speaker 2: it is exceedingly disturbing.

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Speaker 3: I'll give you.

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Speaker 2: I'll give you one example that was probably the first

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Speaker 2: one that I saw that I noticed here in New Zealand,

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Speaker 2: and that was and damn it, I'm going to have

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Speaker 2: to reneg on his name because it escapes me.

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Speaker 3: On the spur of the moment.

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Speaker 2: But the position is exactly what I'm what I'm about

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Speaker 2: to tell you that he was involved with climate matters.

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Speaker 2: He was set up by somebody with an agenda, a

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Speaker 2: disgusting one, and he it was under a great deal

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Speaker 2: of stress, and he wasn't that old, and I interviewed

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Speaker 2: him a few times. And when he died unexpectedly, stress

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Speaker 2: was considered to be a great contributor to that passing.

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Speaker 2: And I've never forgotten it, and I've never forgiven it,

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Speaker 2: and it will be a curse on the individual who

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Speaker 2: was involved, I trust. Now, speaking of speaking of people

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Speaker 2: that we either know or don't, there's one person who

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Speaker 2: I want to make mention of now because he's no

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Speaker 2: longer with us, of course, and that is a professor

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Speaker 2: Thomas Barrodi.

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Speaker 4: Now.

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Speaker 2: I interviewed him on it was some time back. I

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Speaker 2: interviewed him on the twenty sixth of August of twenty

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Speaker 2: twenty in podcast number seventy eight. And I tried more

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Speaker 2: recently to get in touch and fell foul of my goal.

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Speaker 2: And you can tell us why Tom died. As you

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Speaker 2: probably know, two or three weeks ago. Tom and I

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Speaker 2: had worked together for about thirty years. Tom was probably

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Speaker 2: one of the brightest people I've come across. He was

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Speaker 2: certainly the finest gastroenturologist I've worked with. He had an

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Speaker 2: extraordinary capacity to see outside the square. And I think

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Speaker 2: it really is not unlinked to what I was talking

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Speaker 2: about a few minutes ago, that what has happened in

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Speaker 2: medicine is that we've become constrained by bureaucracy to fit

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Speaker 2: within someone's perception of what the rules and regulations of

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Speaker 2: treating this condition or that condition is. Whereas Tom looked

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Speaker 2: at the patient, he looked at the problem and tried

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Speaker 2: to solve that problem, which usually meant that he was

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Speaker 2: managing the person outside of some strict guideline. And medicine's

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Speaker 2: a lot more than guidelines, and I think we've seen

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Speaker 2: the ultimate of guidelines on how bad they became in

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Speaker 2: the recent COVID experience. Well, I'd like to think we

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Speaker 2: learned from it, but both you and I know it's

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Speaker 2: a slow learning process.

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Speaker 3: But back to Tom. Tom. Tom was the sort of

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Speaker 3: person that is a one off. Not everyone liked Tom

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Speaker 3: because Tom was always openly honest. He would say what

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Speaker 3: he believed, which often would upset particularly people running the

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Speaker 3: standard line. His popularity was in fact greater outside of

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Speaker 3: Australia than it was inside of Australia. You know, there

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Speaker 3: are many that believe he should have shared the Nobel

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Speaker 3: Prize because he was the guy that proved that the

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Speaker 3: Helica bacter caused peptic assis.

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Speaker 4: Now many of your older listeners or watches.

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Speaker 3: Would recognized that the scourge of medicine until twenty five

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Speaker 3: years ago was peptic oci disease. Twenty percent of men

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Speaker 3: would have a duodenal ussa if you were an interners

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Speaker 3: I was many years ago. You knew that when you

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Speaker 3: went to sleep at night, you'd be waken up with

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Speaker 3: someone with a bleeding or perforated ulcer.

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Speaker 4: It was.

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Speaker 3: It dominated our working lives, and we used to think

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Speaker 3: it was always due to acid and enzymes digesting holes

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Speaker 3: in the stomach and the duodenum. And along came two

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Speaker 3: very smart guys in Perth who found these organisms, and

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Speaker 3: they found an association between the organisms and peptic aucas,

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Speaker 3: but they couldn't prove they caused it, but the association

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Speaker 3: was strong enough and important enough for them to get

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Speaker 3: the Nabel Prize, which I totally concurred with. So they should,

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Speaker 3: But it was Tom Barodi that sat down and started

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Speaker 3: mixing and matching different antibiotics, coming up with the famous

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Speaker 3: triple therapy that actually caused the permanent eradication in a

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Speaker 3: quantitative and qualitative way of the helicobacter. And it was

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Speaker 3: only by getting rid of the organism and showing that

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Speaker 3: the person's also didn't come back that you could prove

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Speaker 3: the cause. So that was Tom, and then he went

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Speaker 3: on to develop the modern approach to the so called

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Speaker 3: microbiome of the gut, which is the bacterial content of

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Speaker 3: which there is something like a trillion different bugs sitting

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Speaker 3: there and they have huge impact on both the disease

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Speaker 3: of the gut and disease of the whole body.

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Speaker 4: And Tom was the one who.

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Speaker 3: First really put in play the important role of the

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Speaker 3: microbiome and its manipulation in management of disease.

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Speaker 4: With transferring healthy.

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Speaker 3: Feces two unhealthy people, he used to call them pooh transplants,

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Speaker 3: which of course upset a lot of people the very term.

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Speaker 4: But that was Tom.

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Speaker 3: But I went to conference just three nights ago and

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Speaker 3: it was extraordinary. It was just totally on the intestinal

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Speaker 3: microbiome and pooh transplants. Because pretty much every hospital now

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Speaker 3: in Sydney, every major hospital is doing them. It saves

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Speaker 3: the lives of people with seed to ficial disease, which

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Speaker 3: is very common, and changes the lives of many other people.

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Speaker 4: So that was Tom.

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Speaker 3: And then he moved on to Crohn's disease, which many

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Speaker 3: of you would have heard of, and he took what was.

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Speaker 4: Around and went back.

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Speaker 3: Rather than saying, let's not control the inflammation, because that's

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Speaker 3: not really getting it. The core inflammation is a response

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Speaker 3: to the cause, he went to the cause and started

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Speaker 3: treating the bacteria. Other people done that, but Tom made

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Speaker 3: at work and came up with his triple therapy for crome.

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Speaker 3: So you know, the contributions of one man to three

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Speaker 3: major issues in Guard Hills is just unbelievably, unbelievably important. Well,

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Speaker 3: he wasn't what you'd call old either. Well, you know,

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Speaker 3: he was mid seventies, bought.

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Speaker 2: In nineteen fifty. Yeah, And and he was very when

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Speaker 2: I interviewed him, he was very enthusiastic to try and

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Speaker 2: spread the word from his perspective. And I had a

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Speaker 2: great deal of a great deal of respect for it

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Speaker 2: because I did a bit of background study. I liked

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Speaker 2: what he had to say, and I followed up on

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Speaker 2: it and it was leading me in only one direction,

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Speaker 2: but he.

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Speaker 3: Said, is there anything you can do? Well?

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Speaker 2: He basically asked me if there was anybody I could

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Speaker 2: put him in touch with in New Zealand, you know

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Speaker 2: where he could be of assistance. And I made an

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Speaker 2: inquiry or two and I was told, don't bother. They

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Speaker 2: weren't interested, they didn't want to know.

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Speaker 4: That'll be right, and.

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Speaker 3: The same the same.

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Speaker 2: Of course, he got treated the same in Australia. Now,

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Speaker 2: can you explain to us these things have been discussed

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Speaker 2: generally over the last four or five years, but we've

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Speaker 2: not heard from you before, and I think we've reached

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Speaker 2: a pinnacle. So I want your opinion on such things.

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Speaker 3: How did it? How did it get to that point

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Speaker 3: where somebody is qualified as Thomas Barrodi as you and others,

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Speaker 3: but you, you, I think, are the leading to were

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Speaker 3: treated as outcast. Yeah, it's no one's actually asked me

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Speaker 3: that question before, so let me try to give you

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Speaker 3: an answer. First of all, Tom and I are very

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Speaker 3: different people. I always used to see my Tom and

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Speaker 3: I were good friends, and I work and I still work.

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Speaker 3: I do a clinic in the Center of Digestive Diseases.

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Speaker 3: Although my early training was in gasturology, I've now moved

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Speaker 3: away from that and I just do clinically monology, and

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Speaker 3: even there now I'm trying to set up just a

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Speaker 3: clinic for post COVID vaccine damage. And that where you

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Speaker 3: just mentioned was his operation, am I right, Yeah, that's true.

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Speaker 3: Tom began the Center of Digestive Diseases in Sydney a

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Speaker 3: lot back in about nineteen eighty, maybe a bit earlier.

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Speaker 3: And so first Tom and I are very different. I

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Speaker 3: don't see myself as an outcast. I have a good

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Speaker 3: relationship I think with pretty much all my colleagues, certainly

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Speaker 3: most of them.

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Speaker 4: They don't agree with me, but they won't argue with me.

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Speaker 3: And I think this is the interesting thing, that there's

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Speaker 3: a thing called cognitive dissonance, or some people might call brainwashing,

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Speaker 3: that I never understood how powerful this was and how

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Speaker 3: interested parties can coordinate such an event. I can talk

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Speaker 3: to friends of mine who are family practitioners, and until recently,

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Speaker 3: none of them would want to even talk about the

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Speaker 3: fact that maybe we made mistakes in the COVID era.

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Speaker 3: In fact, I was talking to my own family practitioner,

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Speaker 3: and I gave her a copy of a book. We'ret

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Speaker 3: and I mean it's changing, but ever so slowly, but

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Speaker 3: there is still this resistance. So Tom, I think, was

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Speaker 3: a little more of an outcast, probably than I am,

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Speaker 3: for a lot of reasons. One is that i've always

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Speaker 3: One is I haven't tried to take on the establishment

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Speaker 3: outside of using argument of science and evidence. I haven't

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Speaker 3: tried to take on the person. I haven't got involved

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Speaker 3: in legal cases. There are things that Tom actually got

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Speaker 3: involved in, quite nothing that was wrong. It's just that

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Speaker 3: it created some degree of difference between him and some

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Speaker 3: of his colleagues. I used to call myself Tom's mind

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Speaker 3: because I'd say, Tom, don't do this, don't do that.

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Speaker 3: You can't do this if you want to achieve an outcome.

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Speaker 3: So it's very complicated. Maybe I'm more of an outcast

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Speaker 3: than I think I am. I don't think I am.

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Speaker 3: But certainly my view is not one that's widely shared.

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Speaker 2: I would have thought by now there would have been

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Speaker 2: a growing number of sharers.

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Speaker 3: I think there are, and in fact, a group called

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Speaker 3: AMPS has started. I think it's in Australia, well, certainly

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Speaker 3: in Australia. I don't belong to it, but I have

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Speaker 3: many friends that are involved that have formed as a

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Speaker 3: result of COVID, involving many many health professionals, many many doctors.

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Speaker 3: There are a great number of medical people and health

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Speaker 3: professionals that share the view that we didn't get things right.

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Speaker 3: I mean, let me give you one quick example. When

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Speaker 3: COVID hit us, we had a plan. Now, this is

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Speaker 3: a plan that illustrator in New Zealand evolved over eighty

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Speaker 3: ninety one hundred years as a result of us independently

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Speaker 3: assessing the problem using the experience.

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Speaker 2: Can I just interrupt there just for a second, don't

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Speaker 2: lose your place. But was that not virtually a worldwide plan? No,

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Speaker 2: it was an Australian plan we had, and well I

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Speaker 2: would know had a plan which was very similar. But

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Speaker 2: we developed our own plan.

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Speaker 3: I was part of the discussions and involvement and it

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Speaker 3: was a very good plan. In fact, it was a

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Speaker 3: plan not unlike the Great Barrington Decoration which came later

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Speaker 3: from three leaders in UK and the United States. But

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Speaker 3: the plan suddenly disappeared and was replaced by a narrative,

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Speaker 3: and the narrative was built around protecting an experimental genetic

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Speaker 3: vaccine that, for all intents and purposes, had never been

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Speaker 3: given demn ended up being given to more than half

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Speaker 3: the world's population, and has never ever been shown to

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Speaker 3: be as good as all better than a good old,

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Speaker 3: ground up vaccine that we've been dealing with for eighty

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Speaker 3: ninety years for influenza. This is and then to protect

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Speaker 3: that experimental vaccine, and this is my main point. Part

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Speaker 3: of the plan was that you screen what medications you'll

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Speaker 3: have that just might be helpful against the pathogen causing

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Speaker 3: the pandemic. In this case, you know, the COVID virus,

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Speaker 3: and you give that to as many people as you can,

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Speaker 3: even though it may only be of marginal benefit. It

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Speaker 3: was better than nothing.

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Speaker 4: Well, all of.

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Speaker 3: A sudden, my profession and as a result of instructions

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Speaker 3: from bureaucrats and politicians and a few rather really informed

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Speaker 3: so called medical people that appeared on television on a

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Speaker 3: regular basis, we were told you can't possibly you know,

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Speaker 3: it's horse medicine. It's terrible stuff. And I was looking

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Speaker 3: at the data saying this is ridiculous. Is a saving life?

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Speaker 3: We could have saved so many lives in Australia and

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Speaker 3: New Zealand. It's as simple as that. And of course

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Speaker 3: the evidence, now, there was always evidence they worked, there

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Speaker 3: was always evidence they were safe, there was always evidence

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Speaker 3: they were very cheap and available, but we couldn't use

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Speaker 3: They even brought in Queensland in Australia. In Queensland they

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Speaker 3: brought in a rule that if a doctor prescribed hydroxy

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Speaker 3: chorquin a drug which every doctor has been prescribing for

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Speaker 3: sixty seventy eighty years, a lack with no issue, then

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Speaker 3: they potentially could be jailed.

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Speaker 4: I mean, that's how bad it got. Now. That woke

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Speaker 4: me up.

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Speaker 3: Now, the point I'm now going to make is that

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Speaker 3: very good evidence for all of these things is suddenly

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Speaker 3: starting to appear, evidence that was obtained four or five

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Speaker 3: years ago, but it's been held up by including the

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Speaker 3: people who did the work and certainly the journals. They

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Speaker 3: wouldn't publish anything that said they are any good. But

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Speaker 3: now it's over. Fantastic papers are appearing for say, hydroxychlorum

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Speaker 3: with five thousand people showing highly effective preventative effects after

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Speaker 3: the event. And it wasn't just hydroxychloroquine either, No, it wasn't.

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Speaker 3: There was ivermectin followed the hydroxychloricon, which is clearly the

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Speaker 3: best drug for treating COVID still is. Isn't it interesting

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Speaker 3: that the two industry drugs which came under the table,

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Speaker 3: which have got no effect at all, It's quite clearly

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Speaker 3: demonstrated in randomized controlled trials, still used at one thousand

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Speaker 3: dollars a pop by most of the family practitioners, and

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Speaker 3: that went straight through the registration process.

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Speaker 4: I mean, that is criminal. Criminal?

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Speaker 2: Was there, shall we say, was there such a thing

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Speaker 2: as what we might call the power of power? That

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Speaker 2: was that was introduced very rapidly into the into the scene.

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Speaker 2: And by that, I'm talking about money, and I'm talking

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Speaker 2: about influence, and I'm talking about the ability of people

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Speaker 2: to make huge sacrifices if they pursued the course that

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Speaker 2: you're discussing. But was it was it driven from the

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Speaker 2: top on a global on a global stage. Well you

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Speaker 2: know the answer to that, and the answer is, of

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Speaker 2: course it was. I think what happened in Australia and

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Speaker 2: New Zealand, as far as I can see, is that

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Speaker 2: for the very first time we lost control of our

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Speaker 2: medical decision making. If you look back in history, New

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Speaker 2: Zealand and Australia top class medical countries.

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Speaker 4: We do things very very well.

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Speaker 3: We have extremely good people, We make our own decisions,

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Speaker 3: we use the best information we can get. But on

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Speaker 3: this occasion we had a narrative imposed upon us, and

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Speaker 3: it came percolated down through big industry. I mean, you're

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Speaker 3: aware that Pfizer, for example, would make a million dollars

401
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Speaker 3: a billion dollars profit in a year from its vaccines

402
00:27:01,413 --> 00:27:08,813
Speaker 3: and a little less from its anti viral treatments. That's

403
00:27:09,453 --> 00:27:13,813
Speaker 3: unbelievably large. And what they did is in my country

404
00:27:13,853 --> 00:27:16,133
Speaker 3: and I'm not sure if in New Zealand, but certainly

405
00:27:16,173 --> 00:27:22,133
Speaker 3: here they've essentially bought the academic organizations. I'll give you

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Speaker 3: one example, Iver Metnan, the drug you were too about

407
00:27:25,133 --> 00:27:28,373
Speaker 3: was first. This is an interesting story that you may

408
00:27:28,413 --> 00:27:31,613
Speaker 3: not have heard. Iver Mecden was first shown to be

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Speaker 3: effective at killing the COVID organism by very good scientists

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Speaker 3: at Monash University. And she published this data very early

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Speaker 3: in nineteen nineteen twenty and it became well known a

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Speaker 3: few months later she was shut down by the university.

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Speaker 3: Unfortunately it's my university because I got a PhD from

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Speaker 3: Monash University.

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Speaker 4: But she was shut down.

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Speaker 3: What I didn't realize is that she'd gone ahead and

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Speaker 3: done a little study on giving iver mecdan the people

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00:28:05,853 --> 00:28:14,013
Speaker 3: exposed to to COVID way back then, and surprisingly it

419
00:28:14,093 --> 00:28:16,973
Speaker 3: was just published about three or four weeks ago, a

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Speaker 3: month ago.

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Speaker 4: She can now publish it, you see.

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Speaker 3: But weeks after she was shut down, Monash University signed

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Speaker 3: an agreement with Madina Maderna, one of the two big

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00:28:30,893 --> 00:28:34,733
Speaker 3: companies making the vaccines for I think it was something

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00:28:34,813 --> 00:28:37,693
Speaker 3: like three hundred million dollars, huge amount, and that must

426
00:28:37,693 --> 00:28:39,893
Speaker 3: have been in play at the time that she was

427
00:28:40,253 --> 00:28:44,213
Speaker 3: releasing it was, of course it was. Of course it was.

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Speaker 3: Now let me expand on that even a little further.

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Speaker 3: There was a huge play a couple of months ago

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Speaker 3: when the premiere of Victoria, who is a rather controversial

431
00:28:58,933 --> 00:29:06,093
Speaker 3: figure at the moment, she opened the new manufacturing exercise

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00:29:06,133 --> 00:29:09,813
Speaker 3: at Monash to make Messengerna with the purpose of replacing

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00:29:09,853 --> 00:29:16,493
Speaker 3: our existing vaccines. It's hard to believe this is actually happening.

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Speaker 3: And she got up and she said something which was

435
00:29:19,053 --> 00:29:22,813
Speaker 3: rather stupid. She said, every mother is going to be

436
00:29:22,893 --> 00:29:26,373
Speaker 3: so they're going to learn the word respiratual sin city

437
00:29:26,493 --> 00:29:31,493
Speaker 3: or virus disease, because right, we're about to bring out

438
00:29:31,573 --> 00:29:35,893
Speaker 3: this fantastic vaccine that's going to save the children and

439
00:29:35,933 --> 00:29:40,213
Speaker 3: it's going to change their lives. About four or five

440
00:29:40,373 --> 00:29:44,253
Speaker 3: days after that, there was a tiny little notice that

441
00:29:44,973 --> 00:29:49,733
Speaker 3: Maderna brought out in an obscure publication somewhere that very

442
00:29:49,733 --> 00:29:54,013
Speaker 3: few people saw, saying they're put on hold their trial

443
00:29:54,133 --> 00:29:59,933
Speaker 3: in children for the RSV virus because eighteen percent of

444
00:29:59,973 --> 00:30:03,973
Speaker 3: the kids were in hospital with serious life threatening RSV

445
00:30:04,093 --> 00:30:07,013
Speaker 3: disease eighteen percent of those vaccinated with the Messenger and

446
00:30:07,093 --> 00:30:10,493
Speaker 3: a vaccine. Now, that is not surprising. That is predictable

447
00:30:11,333 --> 00:30:12,693
Speaker 3: and that is what we're facing.

448
00:30:13,333 --> 00:30:15,893
Speaker 2: So is it is it really on hold or do

449
00:30:15,893 --> 00:30:16,573
Speaker 2: you think it's dead?

450
00:30:17,453 --> 00:30:19,613
Speaker 3: Oh, it's not dead. No, The only thing it's dead

451
00:30:19,653 --> 00:30:20,733
Speaker 3: is some of the kids who are going.

452
00:30:20,653 --> 00:30:21,053
Speaker 4: To get it.

453
00:30:22,173 --> 00:30:27,333
Speaker 3: What was the advantage to Maderna to doing that in Victoria. Well,

454
00:30:27,333 --> 00:30:29,853
Speaker 3: that's a good point, you'd have to ask them. They

455
00:30:29,893 --> 00:30:33,413
Speaker 3: seem to have taken over the Australian institutions because it's

456
00:30:33,413 --> 00:30:36,973
Speaker 3: not just Monash is a key one, but certainly there

457
00:30:36,973 --> 00:30:42,573
Speaker 3: are structures being built in Sydney at mcquarie University for

458
00:30:42,933 --> 00:30:48,493
Speaker 3: the production of Messenger RNA vaccines, Nearly all the universities

459
00:30:48,813 --> 00:30:51,733
Speaker 3: in New South Wales are tied into a system of

460
00:30:51,813 --> 00:30:56,053
Speaker 3: profit that will benefit from these activities. I suspect the

461
00:30:56,093 --> 00:31:01,373
Speaker 3: same occurs in Victoria, and a very good in the

462
00:31:01,373 --> 00:31:06,373
Speaker 3: book that we're published, which is COVID Through Our Eyes,

463
00:31:07,453 --> 00:31:13,733
Speaker 3: a very good individual who's been working in press for many,

464
00:31:13,773 --> 00:31:17,333
Speaker 3: many years did follow the money in Australia and identified

465
00:31:17,533 --> 00:31:18,973
Speaker 3: how it is all linked up with.

466
00:31:21,213 --> 00:31:22,893
Speaker 4: The Messenger RNA story.

467
00:31:23,493 --> 00:31:26,293
Speaker 2: So out of that book on page forty six, subhead

468
00:31:26,693 --> 00:31:30,693
Speaker 2: do mRNA vaccines protect against COVID nineteen infection?

469
00:31:31,093 --> 00:31:34,533
Speaker 3: Yes they do, Yes, they do, But there's a writer

470
00:31:34,693 --> 00:31:39,813
Speaker 3: to that any vaccine they don't do it any better. Well,

471
00:31:39,933 --> 00:31:42,493
Speaker 3: put it this way, no one has ever shown that

472
00:31:42,533 --> 00:31:46,453
Speaker 3: we needed to go anywhere else other than the traditional

473
00:31:46,533 --> 00:31:52,293
Speaker 3: route for making the vaccine for COVID. There is not

474
00:31:52,413 --> 00:31:56,933
Speaker 3: even the argument that was so much quicker is invalid

475
00:31:57,013 --> 00:32:00,973
Speaker 3: because by the time the Messenger RNA were on the

476
00:32:00,973 --> 00:32:03,613
Speaker 3: market with all the money behind them, a month or

477
00:32:03,613 --> 00:32:08,213
Speaker 3: two behind it, the Chinese and Australian vaccine producers use

478
00:32:08,453 --> 00:32:12,373
Speaker 3: traditional methodology for an antigen vaccine. We're also on the

479
00:32:12,413 --> 00:32:18,093
Speaker 3: market and the Australian vaccine production was completely shut down

480
00:32:18,133 --> 00:32:22,893
Speaker 3: here in New Zealand and became the standard vaccine for

481
00:32:23,613 --> 00:32:27,813
Speaker 3: countries like Iran. They were smart enough to realize that

482
00:32:27,893 --> 00:32:32,013
Speaker 3: it was And they're not seeing long COVID, you know,

483
00:32:32,053 --> 00:32:35,293
Speaker 3: the type of long COVID we see after vaccination, and

484
00:32:35,333 --> 00:32:40,173
Speaker 3: they're not seeing the increase in mortalities that we're seeing

485
00:32:40,213 --> 00:32:43,933
Speaker 3: with the Messenger RNA for very good reasons. Does mRNA

486
00:32:44,093 --> 00:32:47,773
Speaker 3: have a future? Well, you mean, do I think it

487
00:32:47,813 --> 00:32:49,573
Speaker 3: should have a future or do I think.

488
00:32:49,453 --> 00:32:50,453
Speaker 4: It will have a future.

489
00:32:50,453 --> 00:32:53,533
Speaker 3: Well, let's go both. Okay, I think it will have

490
00:32:53,573 --> 00:32:56,973
Speaker 3: a future. And look, I'm not against Messenger RNA having

491
00:32:56,973 --> 00:33:00,653
Speaker 3: a future provided the problems they have, which are extensive,

492
00:33:00,773 --> 00:33:04,013
Speaker 3: are sort of out. I don't think the Messenger RNA

493
00:33:05,253 --> 00:33:09,413
Speaker 3: is needed for vaccine production. I think where a bigger

494
00:33:09,453 --> 00:33:15,533
Speaker 3: case can be made for individualized tuba tumor production, although

495
00:33:15,573 --> 00:33:19,733
Speaker 3: there are many other alternate ways of approaching tumor immune

496
00:33:19,733 --> 00:33:24,733
Speaker 3: suppression these days. But what's going to determine it is

497
00:33:24,773 --> 00:33:28,053
Speaker 3: not you and me. It's going to be money and

498
00:33:28,373 --> 00:33:33,813
Speaker 3: political power and at possibly, as we look at the moment,

499
00:33:34,133 --> 00:33:35,573
Speaker 3: hue great human cost.

500
00:33:35,773 --> 00:33:37,613
Speaker 2: So I'm looking at a I'm looking at a headline

501
00:33:37,653 --> 00:33:41,533
Speaker 2: on the front of a magazine vaccines fear and collapsing

502
00:33:41,573 --> 00:33:46,213
Speaker 2: immunity by your good self, can you explain what that means?

503
00:33:46,293 --> 00:33:46,933
Speaker 3: What it's about.

504
00:33:47,453 --> 00:33:51,413
Speaker 2: So I'm looking at a headline that says, vaccines ain't

505
00:33:51,493 --> 00:33:54,533
Speaker 2: vaccines the consequences of the mrn A disaster.

506
00:33:55,093 --> 00:33:56,293
Speaker 3: What have you written there?

507
00:33:56,933 --> 00:33:58,173
Speaker 4: Okay? What I wrote there?

508
00:33:58,213 --> 00:34:02,733
Speaker 3: That particular article was written by me fairly recently for

509
00:34:02,813 --> 00:34:06,813
Speaker 3: two reasons. Well, the main reason was that I am

510
00:34:06,853 --> 00:34:12,413
Speaker 3: not an heavy vacca. I'm very supportive of vaccines that

511
00:34:13,293 --> 00:34:17,493
Speaker 3: are valuable, and I wrote the article to point out

512
00:34:17,533 --> 00:34:21,373
Speaker 3: that we mustn't throw the baby out with the bathwater,

513
00:34:21,533 --> 00:34:24,813
Speaker 3: because that's what some people are starting to do. I

514
00:34:24,813 --> 00:34:27,933
Speaker 3: think the anti vaccines are hopping on to a valid

515
00:34:27,973 --> 00:34:32,293
Speaker 3: issue with the COVID messenger RNA vaccines and extrapolating that

516
00:34:33,053 --> 00:34:38,533
Speaker 3: two measles, mumps, you name it, when in fact, that

517
00:34:38,653 --> 00:34:41,293
Speaker 3: is not a very good thing to do. So I

518
00:34:41,333 --> 00:34:46,093
Speaker 3: wrote that largely to point out that.

519
00:34:47,973 --> 00:34:49,893
Speaker 4: We have to be very careful about not.

520
00:34:51,413 --> 00:34:56,813
Speaker 3: Throwing out all the vaccines with just a messenger RNA methodology.

521
00:34:57,293 --> 00:35:00,533
Speaker 3: The second thing I put in that article was I

522
00:35:00,613 --> 00:35:05,653
Speaker 3: summarized the problems with the a very up to date summary,

523
00:35:06,053 --> 00:35:08,853
Speaker 3: and the main aspect that you were a referring to

524
00:35:09,533 --> 00:35:15,973
Speaker 3: was that if you look at vaccination against airway infections,

525
00:35:17,053 --> 00:35:22,973
Speaker 3: you are moving, you are vaccinating, injecting the vaccine into

526
00:35:23,013 --> 00:35:27,893
Speaker 3: the body whole, whereas you're trying to protect against a

527
00:35:27,973 --> 00:35:30,533
Speaker 3: virus that's not coming into the body whole. It's coming

528
00:35:30,573 --> 00:35:36,853
Speaker 3: into the airways, which has its own segregated so called

529
00:35:36,933 --> 00:35:42,053
Speaker 3: mucosal immune system. So the injected vaccine will never prevent

530
00:35:42,173 --> 00:35:46,293
Speaker 3: you getting infected or passing that infection on to somebody else.

531
00:35:47,013 --> 00:35:51,093
Speaker 3: And that, of course was completely misunderstood at the beginning

532
00:35:51,173 --> 00:35:58,453
Speaker 3: of the COVID pandemic, and they were basically saying, we

533
00:35:58,573 --> 00:36:02,373
Speaker 3: must be vaccinated, we must have mandates so that we

534
00:36:02,573 --> 00:36:07,773
Speaker 3: can stop the passing on of covid, and any benefit

535
00:36:07,773 --> 00:36:11,213
Speaker 3: it has there is so marginal it's not worth considering.

536
00:36:12,533 --> 00:36:17,973
Speaker 3: What the vaccine does is that it prevents or contributes

537
00:36:18,093 --> 00:36:23,213
Speaker 3: the prevention of that virus escaping from the mucosal compartment

538
00:36:23,493 --> 00:36:26,573
Speaker 3: into the body whole, which is going to cause more

539
00:36:26,613 --> 00:36:31,053
Speaker 3: severe disease and death. And it does that fairly efficiently

540
00:36:31,613 --> 00:36:35,613
Speaker 3: until the elephant in the room, which is reactive suppression,

541
00:36:36,413 --> 00:36:39,293
Speaker 3: chimes in of course, if you think about it, the

542
00:36:39,453 --> 00:36:45,693
Speaker 3: role of mucosal immunology is to control a number of

543
00:36:45,773 --> 00:36:49,853
Speaker 3: bacteria that are lining up and contaminating the airway and

544
00:36:49,933 --> 00:36:53,533
Speaker 3: the gut it's full of bacteria, whereas inside the body,

545
00:36:53,653 --> 00:36:56,733
Speaker 3: one bacteria is enough to cause septocemia and kill you.

546
00:36:57,453 --> 00:37:00,853
Speaker 3: And so you have a different role for the injected

547
00:37:01,253 --> 00:37:07,213
Speaker 3: type of immunization, which is sterilizing community to mucosal immunity,

548
00:37:07,373 --> 00:37:08,733
Speaker 3: which is about control.

549
00:37:09,333 --> 00:37:11,413
Speaker 4: And to get control you have.

550
00:37:11,373 --> 00:37:16,013
Speaker 3: To have a two way mechanism involving suppression, so it

551
00:37:16,053 --> 00:37:20,413
Speaker 3: doesn't otherwise if you have the systemic immune system going

552
00:37:20,453 --> 00:37:24,933
Speaker 3: for sterilizing immunity, when you're breathing in millions of bacteria

553
00:37:24,973 --> 00:37:27,333
Speaker 3: every minute, then you're going to blow up like a

554
00:37:27,373 --> 00:37:31,693
Speaker 3: hand grenade coming in. So you must have a suppression mechanism. Now,

555
00:37:31,853 --> 00:37:38,253
Speaker 3: this suppressor mechanism becomes dominant the more you stimulate somebody.

556
00:37:38,293 --> 00:37:42,773
Speaker 3: And so what we were doing with very unplanned booster

557
00:37:43,093 --> 00:37:48,413
Speaker 3: vaccinations was pouring in stimulation together with people being exposed

558
00:37:48,453 --> 00:37:52,693
Speaker 3: to the COVID virus, and so the tilt went to

559
00:37:52,773 --> 00:37:57,773
Speaker 3: favor suppression rather than protection. And so if you look

560
00:37:57,773 --> 00:38:00,693
Speaker 3: at the big studies done for example in Quebec in Canada,

561
00:38:00,693 --> 00:38:04,493
Speaker 3: which is probably the best. Instead of having eighty percent

562
00:38:04,573 --> 00:38:07,653
Speaker 3: protection against going into a hospital and older people, which

563
00:38:07,813 --> 00:38:11,533
Speaker 3: we did get for a few months in twenty twenty one,

564
00:38:12,173 --> 00:38:15,573
Speaker 3: it's now down to fifty percent and it lasts two months.

565
00:38:16,333 --> 00:38:18,813
Speaker 3: For the rest of the rest of the vaccine cycle.

566
00:38:18,813 --> 00:38:22,453
Speaker 3: As new variants come in, you get zero or little

567
00:38:22,573 --> 00:38:28,333
Speaker 3: or negative suppression. And I should have I wished I

568
00:38:28,413 --> 00:38:31,293
Speaker 3: had prepared a bit better and sent you the graph

569
00:38:31,373 --> 00:38:34,973
Speaker 3: that was in this particular paper from Quebec. It's so

570
00:38:35,253 --> 00:38:38,973
Speaker 3: illustrative showing that for eighty percent of the vaccine cycle

571
00:38:39,373 --> 00:38:45,013
Speaker 3: you're getting essentially little, no or negative protection. Negative protection

572
00:38:45,413 --> 00:38:50,453
Speaker 3: means that you get more infections, more hospitalizations than you

573
00:38:50,493 --> 00:38:53,133
Speaker 3: would get from the people who were in the non

574
00:38:53,253 --> 00:38:56,973
Speaker 3: vaccinated control group. And that's what I was talking about,

575
00:38:57,533 --> 00:39:00,373
Speaker 3: that we're getting what we don't want. I'm sure that

576
00:39:00,413 --> 00:39:03,493
Speaker 3: I saw that graph.

577
00:39:02,533 --> 00:39:03,693
Speaker 4: And it wasn't and it was.

578
00:39:05,173 --> 00:39:07,893
Speaker 3: In that It's not in that quadrant. It's in the

579
00:39:07,973 --> 00:39:11,973
Speaker 3: article which they put on the web. That's where I

580
00:39:12,013 --> 00:39:12,373
Speaker 3: saw it.

581
00:39:12,813 --> 00:39:16,453
Speaker 2: Yeah, And when I printed it, I always go print friendly,

582
00:39:16,493 --> 00:39:19,813
Speaker 2: so I knock them out because I've only got I've

583
00:39:19,813 --> 00:39:21,493
Speaker 2: got to got black print anyway.

584
00:39:23,213 --> 00:39:24,973
Speaker 4: But you know that you know the graph I'm talking

585
00:39:25,013 --> 00:39:25,293
Speaker 4: about it.

586
00:39:25,333 --> 00:39:26,093
Speaker 3: Yes, yes, I do.

587
00:39:26,653 --> 00:39:29,653
Speaker 2: It's very scary, isn't it. There's a lot that's scary.

588
00:39:30,053 --> 00:39:33,973
Speaker 2: But in answer to your question directly, absolutely, you know.

589
00:39:34,253 --> 00:39:38,813
Speaker 3: I contacted Sarah Carrara, who's the chief. I haven't met her,

590
00:39:38,853 --> 00:39:42,573
Speaker 3: but I wrote to her and we actually had an exchange.

591
00:39:42,613 --> 00:39:44,733
Speaker 3: She didn't answer my first two emails, and I wrote

592
00:39:44,773 --> 00:39:46,533
Speaker 3: and said, come on, I'm a professional.

593
00:39:46,573 --> 00:39:47,413
Speaker 4: You're a professional.

594
00:39:47,933 --> 00:39:50,973
Speaker 3: And I said, you know, I think your work's the

595
00:39:50,973 --> 00:39:55,573
Speaker 3: best in the world. Of course, she's followed the epidemiology

596
00:39:55,733 --> 00:39:59,253
Speaker 3: right through from twenty twenty one. But I said, what

597
00:39:59,373 --> 00:40:03,853
Speaker 3: you're showing, don't you think it's pretty confusing? And she said,

598
00:40:03,893 --> 00:40:07,333
Speaker 3: oh no, I think the vaccine's terrific. And I said,

599
00:40:07,333 --> 00:40:11,053
Speaker 3: have you really looked their own data? And she stopped

600
00:40:11,093 --> 00:40:15,293
Speaker 3: answering after that, You embarrassed her. I wasn't trying to

601
00:40:15,333 --> 00:40:18,693
Speaker 3: embarrass her in any form. No, no, no, But was

602
00:40:18,693 --> 00:40:21,533
Speaker 3: that the reason for the note. I don't think anyone

603
00:40:21,573 --> 00:40:24,213
Speaker 3: else had sort of had said, hey, wait a second,

604
00:40:24,213 --> 00:40:28,133
Speaker 3: what you're showing are the problems, not the answers. I

605
00:40:28,133 --> 00:40:31,213
Speaker 3: can't understand how somebody can not be aware of that.

606
00:40:31,933 --> 00:40:35,413
Speaker 3: We'll tell you that there's another guy who's involved. He's

607
00:40:35,413 --> 00:40:38,333
Speaker 3: a very different sort of person. He works for the

608
00:40:39,053 --> 00:40:42,733
Speaker 3: Cleveland Clinic and he's been doing exactly what Sarah has

609
00:40:42,773 --> 00:40:47,293
Speaker 3: been doing. He's an Indian chap he's an infectious disease physician,

610
00:40:47,333 --> 00:40:50,213
Speaker 3: and this is very interesting. He was the first to

611
00:40:50,293 --> 00:40:53,333
Speaker 3: show this negative immunity. And when he showed it very

612
00:40:53,373 --> 00:40:56,573
Speaker 3: early in he found that the people who had three

613
00:40:56,693 --> 00:41:00,973
Speaker 3: or more vaccines were getting more infections than the people

614
00:41:01,013 --> 00:41:04,893
Speaker 3: who had less than three or more, and he got

615
00:41:05,093 --> 00:41:09,813
Speaker 3: dumped on by all the fact checkers and I saw

616
00:41:10,093 --> 00:41:12,413
Speaker 3: he answered by saying, this is the data. I don't

617
00:41:12,493 --> 00:41:14,693
Speaker 3: understand it. So I wrote to him and we have

618
00:41:14,813 --> 00:41:19,333
Speaker 3: an active two way email exchange and he's a great guy,

619
00:41:19,653 --> 00:41:22,653
Speaker 3: and he thanked me for pointing out the immunology. He said,

620
00:41:22,653 --> 00:41:26,053
Speaker 3: you know, we infectious these physicians, we do not understand

621
00:41:26,053 --> 00:41:29,253
Speaker 3: the immunology. And if you look at who's running these

622
00:41:29,293 --> 00:41:32,813
Speaker 3: programs in New Zealand and Australia, they're infectious to these

623
00:41:32,813 --> 00:41:36,293
Speaker 3: physicians who are very good at treating infections, but they're

624
00:41:36,333 --> 00:41:42,053
Speaker 3: not immunologists. And this guy has and the scariest thing

625
00:41:42,133 --> 00:41:45,293
Speaker 3: about my friend of the Cleveland Clinic is he's looking

626
00:41:45,413 --> 00:41:48,613
Speaker 3: not at this is thirty to fifty thousand people who

627
00:41:48,693 --> 00:41:51,653
Speaker 3: work for the Cleveland Clinic, not a few. And he's

628
00:41:51,733 --> 00:41:55,573
Speaker 3: now looked at the latest flu pandemic, not pandemic, but

629
00:41:55,613 --> 00:42:01,813
Speaker 3: the flu season with the standard flu vaccinations. In the

630
00:42:01,853 --> 00:42:05,333
Speaker 3: same populations have been getting the COVID vaccines and for

631
00:42:05,373 --> 00:42:10,053
Speaker 3: the first time ever, twenty seven cent of the vaccinated

632
00:42:10,093 --> 00:42:15,413
Speaker 3: people had more flu infections than there was a twenty

633
00:42:15,413 --> 00:42:19,173
Speaker 3: seven percent increase in flu infections in the vaccinator group

634
00:42:19,373 --> 00:42:22,853
Speaker 3: compared with the non flu vaccinator group. In other words,

635
00:42:22,933 --> 00:42:27,773
Speaker 3: this immune suppression looks as though can spread to affect

636
00:42:27,813 --> 00:42:28,533
Speaker 3: other outcomes.

637
00:42:28,653 --> 00:42:33,693
Speaker 2: Right, So the immune repression is a new phrase, all right.

638
00:42:35,253 --> 00:42:39,293
Speaker 3: The Nobel Prize was given this year strangely for that

639
00:42:39,453 --> 00:42:43,893
Speaker 3: true for im okay, all right, But when I say

640
00:42:44,013 --> 00:42:46,933
Speaker 3: when I say in the new phrase, it hasn't been

641
00:42:46,973 --> 00:42:50,693
Speaker 3: banded about too much publicly has it been prior to this?

642
00:42:51,333 --> 00:42:53,573
Speaker 4: Not at all? Because no one wants to know it exists.

643
00:42:53,813 --> 00:42:57,133
Speaker 3: It doesn't fit the narrative exactly, although I did get

644
00:42:57,133 --> 00:42:58,053
Speaker 3: a Nobel prize.

645
00:42:58,053 --> 00:43:01,853
Speaker 2: That's exactly my point. Well, here's another good question, then,

646
00:43:02,453 --> 00:43:05,013
Speaker 2: based on all of the above, how come it won

647
00:43:05,053 --> 00:43:08,573
Speaker 2: the Nobil Prize. You would have thought that with all

648
00:43:08,893 --> 00:43:13,693
Speaker 2: going on behind the scenes that you're discussing, and there

649
00:43:13,773 --> 00:43:16,333
Speaker 2: must have been much of it, then you'd have to

650
00:43:16,333 --> 00:43:19,093
Speaker 2: be I'll turn it into a question, would you have

651
00:43:19,213 --> 00:43:22,733
Speaker 2: to be pretty brave to award the Nobel Prize for it?

652
00:43:23,493 --> 00:43:26,453
Speaker 3: Or can I answer that by telling you about the

653
00:43:26,453 --> 00:43:30,533
Speaker 3: Nobel Prize the year before. The Nobel Prize the year

654
00:43:30,533 --> 00:43:34,493
Speaker 3: before was given to two people who had got the

655
00:43:34,573 --> 00:43:39,133
Speaker 3: prize by inserting into Messenger RNA. Many people watching though

656
00:43:39,133 --> 00:43:41,813
Speaker 3: there are four bases, and it's all about a coding

657
00:43:41,853 --> 00:43:46,013
Speaker 3: of rearranging these bases, and to make it more stable

658
00:43:46,093 --> 00:43:50,973
Speaker 3: and lasts longer, they changed one of the bases, which

659
00:43:51,053 --> 00:43:55,173
Speaker 3: is called urrosiallt using pseudo uridine. And without that they

660
00:43:55,253 --> 00:43:58,893
Speaker 3: couldn't have made the Messenger RNA vaccine that got the

661
00:43:58,933 --> 00:44:05,733
Speaker 3: Nobel Prize in twenty twenty four. Within weeks of them

662
00:44:05,773 --> 00:44:09,973
Speaker 3: getting the Nobel Prize, the Cambridge Group showed that by

663
00:44:10,013 --> 00:44:14,813
Speaker 3: putting this pseudouriitine into the Messenger RNA it called slippage.

664
00:44:14,893 --> 00:44:18,453
Speaker 3: In the reading, you can imagine the Messenger rena.

665
00:44:18,333 --> 00:44:20,253
Speaker 4: Goes into a cell and it's got to be read.

666
00:44:20,293 --> 00:44:24,253
Speaker 3: The information's read to make a new protein, the spike protein,

667
00:44:24,293 --> 00:44:29,653
Speaker 3: which then stimulates immunity, and in doing that, it's called

668
00:44:29,693 --> 00:44:33,813
Speaker 3: a plus one slippage, which means that twenty twenty percent

669
00:44:33,853 --> 00:44:38,613
Speaker 3: of people who were immunized with the messenger RNA vaccine

670
00:44:38,733 --> 00:44:44,893
Speaker 3: were producing abnormal proteins in the blood. Abnormal proteins. Some

671
00:44:44,973 --> 00:44:48,853
Speaker 3: of these abnormal proteins have the ability to catalyze a

672
00:44:48,933 --> 00:44:54,253
Speaker 3: process called amyloid deposition. The Japanese around the same time

673
00:44:54,653 --> 00:44:59,813
Speaker 3: suddenly found a significant increase in the report of certain

674
00:44:59,853 --> 00:45:04,853
Speaker 3: aspects of dementia, which is caused, we believe by amyloid deposition.

675
00:45:04,933 --> 00:45:07,893
Speaker 3: Now I'm not saying all this, I'm simply saying that

676
00:45:07,933 --> 00:45:11,613
Speaker 3: there's these red flags that are appearing that no one

677
00:45:11,773 --> 00:45:15,653
Speaker 3: wants to see as red flag, saying stop, let's work

678
00:45:15,733 --> 00:45:18,933
Speaker 3: this out, because too many things are happening that we

679
00:45:19,013 --> 00:45:23,453
Speaker 3: don't understand. But the Nobel Prize was refuted within weeks

680
00:45:23,733 --> 00:45:26,893
Speaker 3: of it being awarded the following year, I think it's

681
00:45:26,973 --> 00:45:29,893
Speaker 3: wonderful that they went and awarded it to the very

682
00:45:29,973 --> 00:45:34,893
Speaker 3: thing that they're stimulating with their Messenger RNA vaccines. Because remember,

683
00:45:35,133 --> 00:45:38,293
Speaker 3: you do not control the dose of anigen when you

684
00:45:38,333 --> 00:45:41,253
Speaker 3: put in a genetic message, Because it goes to every

685
00:45:41,253 --> 00:45:44,693
Speaker 3: cell in the body, every well can become potentially a factory.

686
00:45:45,013 --> 00:45:49,173
Speaker 3: Whereas a tetanus vaccine or any of the normal vaccines

687
00:45:49,253 --> 00:45:51,813
Speaker 3: is a tiny little bit of measured anigen that you

688
00:45:51,853 --> 00:45:55,133
Speaker 3: stick into your arm and goes to your regional lymph nodes.

689
00:45:55,453 --> 00:45:59,333
Speaker 3: Totally different situation. And when you don't control the anigen,

690
00:45:59,613 --> 00:46:03,133
Speaker 3: you get a more pronounced tolerance or downregulation affect you

691
00:46:03,213 --> 00:46:03,853
Speaker 3: to suppression.

692
00:46:04,533 --> 00:46:07,333
Speaker 2: Let me, let me just refer to a few things

693
00:46:07,373 --> 00:46:10,493
Speaker 2: I scribbled down and you've just targeted one of them,

694
00:46:10,733 --> 00:46:16,493
Speaker 2: and you'll understand mRNA has no targeting system.

695
00:46:16,533 --> 00:46:16,973
Speaker 4: True.

696
00:46:17,453 --> 00:46:20,693
Speaker 3: So what does that mean, Well, what it means is

697
00:46:20,733 --> 00:46:25,213
Speaker 3: that any cell messenger RNA, if you just put ordinary

698
00:46:25,213 --> 00:46:28,773
Speaker 3: messenger RNA into the body, it gets broken up and dissipates.

699
00:46:28,813 --> 00:46:31,173
Speaker 3: And so they had to do two things to make

700
00:46:31,213 --> 00:46:33,973
Speaker 3: sure it got into cells so it could translate its

701
00:46:34,013 --> 00:46:38,333
Speaker 3: message into making the spike protein adigen.

702
00:46:38,973 --> 00:46:41,133
Speaker 4: And so they did two things.

703
00:46:41,173 --> 00:46:44,253
Speaker 3: They changed one of the bases, the pseudourinine, which we

704
00:46:44,333 --> 00:46:46,933
Speaker 3: talked about a minute ago, and they encased it in

705
00:46:47,013 --> 00:46:50,853
Speaker 3: what's called a lipid nanoparticle. Which has a very powerful

706
00:46:50,893 --> 00:46:53,493
Speaker 3: effect at helping it get into a cell. And so

707
00:46:54,053 --> 00:46:57,413
Speaker 3: potentially every cell in the body can take up messenger

708
00:46:57,533 --> 00:47:02,053
Speaker 3: RNA when it's delivered in this particular format. So the

709
00:47:02,093 --> 00:47:05,893
Speaker 3: messenger RNA itself doesn't have a target other than a

710
00:47:05,933 --> 00:47:09,573
Speaker 3: cell to act as a factory. And once it does that,

711
00:47:09,893 --> 00:47:13,253
Speaker 3: it puts the Any cell that makes the spike protein

712
00:47:13,333 --> 00:47:15,973
Speaker 3: is going to have that spike protein stuck on its

713
00:47:15,973 --> 00:47:18,853
Speaker 3: surface as a foreign protein. And when you get a

714
00:47:18,893 --> 00:47:21,733
Speaker 3: foreign protein, the body says, well, we'll make an immune

715
00:47:21,773 --> 00:47:24,573
Speaker 3: response to that. So is it such a surprise that

716
00:47:24,693 --> 00:47:28,093
Speaker 3: you get like an autoimmune response. The T cells come

717
00:47:28,133 --> 00:47:31,093
Speaker 3: along and destroy the cell that's making the spike protein,

718
00:47:31,973 --> 00:47:38,013
Speaker 3: and you get myaciditis, you get brain problems, problems potentially

719
00:47:38,053 --> 00:47:41,613
Speaker 3: anywhere in the body, which is what obviously we've been

720
00:47:41,653 --> 00:47:43,173
Speaker 3: seeing for four years now.

721
00:47:43,493 --> 00:47:49,253
Speaker 2: It's amount of interest the talking of myocarditis. Is there

722
00:47:49,333 --> 00:47:54,973
Speaker 2: any any period of time in which that will happen

723
00:47:55,093 --> 00:47:59,573
Speaker 2: or must happen, or is it something that can extend

724
00:47:59,613 --> 00:48:05,253
Speaker 2: its availability? If you understand what I mean, for well,

725
00:48:05,293 --> 00:48:06,773
Speaker 2: almost eternity.

726
00:48:06,973 --> 00:48:09,653
Speaker 4: We don't know. We don't know. I mean, how long

727
00:48:09,733 --> 00:48:10,493
Speaker 4: is a piece of string?

728
00:48:10,973 --> 00:48:14,373
Speaker 3: We know that in studying from Yale, which is a

729
00:48:14,533 --> 00:48:19,213
Speaker 3: highly reputable group in the Yale University States, they were

730
00:48:19,253 --> 00:48:22,293
Speaker 3: finding they were finding spike protein floating around in the

731
00:48:22,333 --> 00:48:27,933
Speaker 3: blood of people with chronic post vaccine problems. Two. They

732
00:48:27,933 --> 00:48:30,293
Speaker 3: stopped looking at two years, and they were finding it

733
00:48:30,453 --> 00:48:36,493
Speaker 3: two years later. So we know that people have post

734
00:48:36,533 --> 00:48:40,293
Speaker 3: mortems from heart attacks and things like this years later

735
00:48:40,493 --> 00:48:44,093
Speaker 3: and they're finding spike protein and T cell responses to

736
00:48:44,133 --> 00:48:47,333
Speaker 3: that in the tissues. We don't know how long it

737
00:48:47,373 --> 00:48:51,533
Speaker 3: can stay in some people. What about IgG four? What

738
00:48:51,653 --> 00:48:52,973
Speaker 3: about it? What do you want to know about it?

739
00:48:53,413 --> 00:48:57,613
Speaker 3: Anything you can tell me, No, how long is piece

740
00:48:57,613 --> 00:49:00,693
Speaker 3: of string? You know, it's interesting. A lot of people

741
00:49:00,773 --> 00:49:03,413
Speaker 3: who know nothing about the immunology of this disease have

742
00:49:03,533 --> 00:49:08,173
Speaker 3: suddenly found IgG four is increased, and it's all part

743
00:49:08,173 --> 00:49:09,533
Speaker 3: of the tolerizing process.

744
00:49:09,573 --> 00:49:11,933
Speaker 4: Remember, let's go back to you.

745
00:49:12,093 --> 00:49:17,053
Speaker 3: Inhaling a virus, we call that an antigen because it's foreign.

746
00:49:17,533 --> 00:49:20,773
Speaker 3: It's no different to inhaling a pollen. Now, if you

747
00:49:20,893 --> 00:49:24,413
Speaker 3: inhale pollens, some people will get asthma or hay fever,

748
00:49:24,453 --> 00:49:30,013
Speaker 3: which is an exaggerated immune response. Some people don't now

749
00:49:30,653 --> 00:49:34,773
Speaker 3: the way, if you go to analogist and ask for treatment.

750
00:49:35,373 --> 00:49:37,373
Speaker 3: More often than not, he's going to say, I'm going

751
00:49:37,413 --> 00:49:40,613
Speaker 3: to give you a set of injections, and that set

752
00:49:40,653 --> 00:49:45,053
Speaker 3: of injections is the pollen adigen, and so you give it.

753
00:49:45,093 --> 00:49:48,013
Speaker 3: And what you're doing is stimulating the balance we talked

754
00:49:48,013 --> 00:49:52,173
Speaker 3: about a balance between protection and suppression. And the more

755
00:49:52,213 --> 00:49:55,653
Speaker 3: you inject the antigen, the more suppression you get, and

756
00:49:55,693 --> 00:49:58,773
Speaker 3: you turn off the symptoms of asthma and hay fever.

757
00:49:59,093 --> 00:50:03,613
Speaker 3: And people say that's terrific. There's no real difference between

758
00:50:03,653 --> 00:50:08,093
Speaker 3: giving people every six months or so a shot of

759
00:50:08,453 --> 00:50:12,373
Speaker 3: COVID messenger RNA. And remember you're not controlling the ad

760
00:50:12,413 --> 00:50:16,173
Speaker 3: engine dose, so it's continuing to be made. You're pouring that.

761
00:50:16,253 --> 00:50:18,573
Speaker 3: You're doing the same thing as the allergis is doing.

762
00:50:18,733 --> 00:50:21,933
Speaker 3: You're turning off the immune response, which means you get

763
00:50:22,133 --> 00:50:26,853
Speaker 3: more infections, and you're getting this tolerance which seems now

764
00:50:27,013 --> 00:50:29,693
Speaker 3: as though can overflow to other biological systems.

765
00:50:30,253 --> 00:50:34,693
Speaker 2: I scribbled down you understand that. I'll say, no, I do,

766
00:50:35,173 --> 00:50:37,653
Speaker 2: But if you want to say it again, go for it. No, No,

767
00:50:37,813 --> 00:50:39,893
Speaker 2: why don't you give me your intermation.

768
00:50:40,533 --> 00:50:42,373
Speaker 3: No I didn't get it quite in that world.

769
00:50:43,773 --> 00:50:45,613
Speaker 4: No, No, I'm not being nasty.

770
00:50:45,493 --> 00:50:49,813
Speaker 3: I just people do not understand this very simple biological

771
00:50:49,813 --> 00:50:53,253
Speaker 3: principle that's been around since since one hundred years.

772
00:50:53,093 --> 00:50:55,773
Speaker 2: Right now, that's I mean, this is why I just

773
00:50:55,813 --> 00:50:57,893
Speaker 2: gave you IBG four and then I head after that

774
00:50:57,973 --> 00:51:06,213
Speaker 2: IgG four, I scribbled, I scribbled more shots bad. Right,

775
00:51:06,373 --> 00:51:08,213
Speaker 2: The more shots you get, the more you're going to

776
00:51:08,573 --> 00:51:11,333
Speaker 2: you will go to get or more likely you're going.

777
00:51:11,133 --> 00:51:15,933
Speaker 3: To get crook. Exactly what Sarah carraras in the Quebec

778
00:51:16,013 --> 00:51:20,653
Speaker 3: studies and so of the Cleveland clinic. They're shown exactly

779
00:51:20,693 --> 00:51:24,093
Speaker 3: this in large and large number, thousands and thousands of people.

780
00:51:24,533 --> 00:51:27,973
Speaker 3: And that's because you've destroyed your immunity. No, you're not

781
00:51:28,013 --> 00:51:31,533
Speaker 3: destroying your immunity. You're changing the balance of positive and

782
00:51:31,613 --> 00:51:36,933
Speaker 3: negative because that's what the mw cosal immune system is

783
00:51:36,973 --> 00:51:41,413
Speaker 3: all about. Very different to the sterilizing immunity inside the body.

784
00:51:42,133 --> 00:51:45,253
Speaker 3: What happens you spread the suppressor cells throughout the body.

785
00:51:46,333 --> 00:51:49,333
Speaker 3: A fantastic study has just come out. I saw it yesterday,

786
00:51:50,293 --> 00:51:55,173
Speaker 3: perfect timing, where they've actually looked analyzed the impact of

787
00:51:55,253 --> 00:52:00,893
Speaker 3: getting coronavirus infections through life as a cornersing a cold.

788
00:52:01,253 --> 00:52:05,693
Speaker 3: The COVID is simply a coronavirus that's been manipulated one

789
00:52:05,733 --> 00:52:09,333
Speaker 3: way or the other into one, it's more likely to

790
00:52:09,373 --> 00:52:14,213
Speaker 3: invade the body. And so by having coronavirus infections, you're

791
00:52:14,293 --> 00:52:18,333
Speaker 3: priming the person. And this woman has done a PhD

792
00:52:18,413 --> 00:52:21,453
Speaker 3: in the States showing this is exactly what's been happening.

793
00:52:21,773 --> 00:52:25,293
Speaker 3: And the people who are primed with antibody and immunity

794
00:52:25,653 --> 00:52:28,973
Speaker 3: to coronavirus is because they've had them in the past.

795
00:52:29,253 --> 00:52:32,493
Speaker 3: If they get into hospital and they've been vaccinated, they've

796
00:52:32,493 --> 00:52:35,133
Speaker 3: got a greater chance of dying. Now, that is very

797
00:52:35,133 --> 00:52:39,293
Speaker 3: scary stuff, and it's showing exactly what we have been

798
00:52:39,333 --> 00:52:44,733
Speaker 3: talking about, and it's now been shown in a molecular fashion.

799
00:52:45,813 --> 00:52:51,413
Speaker 2: Well, you've fulfilled my wish in answering the question.

800
00:52:52,853 --> 00:52:56,853
Speaker 3: It was I didn't ask the question about IgG four though,

801
00:52:57,613 --> 00:53:01,533
Speaker 3: I just IgG four is one of four subclasses of

802
00:53:01,573 --> 00:53:05,053
Speaker 3: the IgG, the main antibody in blood, and the way

803
00:53:05,093 --> 00:53:10,173
Speaker 3: in which these T cells operate to suppress or activate

804
00:53:10,413 --> 00:53:14,333
Speaker 3: is by helping the antibody, making cells work and making

805
00:53:14,373 --> 00:53:17,693
Speaker 3: them make better and better antibody. As you get more

806
00:53:17,733 --> 00:53:23,453
Speaker 3: and more stimulation by vaccines or lots of covid or

807
00:53:23,533 --> 00:53:29,133
Speaker 3: allergy shots, then the T cell changes the pattern of

808
00:53:30,573 --> 00:53:34,613
Speaker 3: impact on anybody making and shifts shifts it to an

809
00:53:34,613 --> 00:53:40,013
Speaker 3: IgG four which has a counter effect on more protective

810
00:53:40,213 --> 00:53:45,253
Speaker 3: IgG antibodies. And so it's part of this toleerzing process

811
00:53:45,293 --> 00:53:47,893
Speaker 3: induced by the T suppressor cells.

812
00:53:48,573 --> 00:53:50,853
Speaker 2: That's as simple as that. So I want to ask

813
00:53:50,893 --> 00:53:55,053
Speaker 2: you this question and everyone will get this. There are

814
00:53:55,093 --> 00:54:00,253
Speaker 2: still ads on messenger shots and people are responding to them.

815
00:54:00,333 --> 00:54:02,573
Speaker 2: I don't know in what numbers, but not as big

816
00:54:02,613 --> 00:54:04,453
Speaker 2: as they would have once upon a time.

817
00:54:04,493 --> 00:54:04,933
Speaker 4: I know that.

818
00:54:05,853 --> 00:54:10,933
Speaker 2: But the ad is usually accompanied by safe and effective.

819
00:54:13,533 --> 00:54:14,413
Speaker 2: Your take on.

820
00:54:14,413 --> 00:54:18,173
Speaker 3: That, well, you know what might take is, but I

821
00:54:18,173 --> 00:54:19,053
Speaker 3: want you to share it.

822
00:54:19,613 --> 00:54:24,253
Speaker 4: Okay, No, I'm sorry. I'm not meaning to be flipping.

823
00:54:25,693 --> 00:54:29,373
Speaker 3: They are not They are not safe, and at this

824
00:54:29,453 --> 00:54:32,773
Speaker 3: stage they're not particularly effective. In fact, they're counter effective.

825
00:54:33,613 --> 00:54:37,453
Speaker 3: You can be worse off. I mean, I have friends

826
00:54:37,453 --> 00:54:40,293
Speaker 3: that tell me how they've had five or six or

827
00:54:40,333 --> 00:54:43,573
Speaker 3: seven vaccines and they can't understand it why they're so

828
00:54:43,773 --> 00:54:47,813
Speaker 3: sick with COVID. They ring me up for treatment, and

829
00:54:49,413 --> 00:54:51,773
Speaker 3: I say, well, of course you're going to get more COVID.

830
00:54:51,853 --> 00:54:58,333
Speaker 3: So vaccination with messenger RNA vaccines are not safe. There's

831
00:54:58,413 --> 00:55:01,213
Speaker 3: a study that just came out from South Korea, which

832
00:55:01,253 --> 00:55:04,133
Speaker 3: people should be aware of, and that is they compared

833
00:55:04,693 --> 00:55:11,293
Speaker 3: the benefits, the outcome benefits from comparing a Fireser Messenger

834
00:55:11,373 --> 00:55:16,813
Speaker 3: RNA vaccine with a NOVA with the antigen vaccine from

835
00:55:17,013 --> 00:55:20,813
Speaker 3: what is it Nova something, and the kids who were

836
00:55:20,853 --> 00:55:27,333
Speaker 3: getting the antigen vaccine had more protection than the kids

837
00:55:27,333 --> 00:55:30,413
Speaker 3: who were getting the Messenger RNA simply because you don't

838
00:55:30,413 --> 00:55:34,253
Speaker 3: get the same degree of suppression with the antigen vaccine.

839
00:55:35,293 --> 00:55:39,413
Speaker 3: So that's the first data of direct comparison that exists,

840
00:55:39,973 --> 00:55:44,453
Speaker 3: and it did not favor the Messenger RNA vaccine. And

841
00:55:44,533 --> 00:55:48,693
Speaker 3: yet where in New Zealand can you get the what

842
00:55:48,853 --> 00:55:50,533
Speaker 3: is it? I've got a metal block on the name

843
00:55:50,573 --> 00:55:58,173
Speaker 3: of the company that makes the Nova. No, no, there's

844
00:55:58,213 --> 00:56:00,533
Speaker 3: fires from are doing to make the Messenger RNA. And

845
00:56:00,573 --> 00:56:04,173
Speaker 3: then there's a company called they bring out an anigen

846
00:56:04,253 --> 00:56:06,333
Speaker 3: vaccine which we used to be able to get but

847
00:56:06,373 --> 00:56:10,933
Speaker 3: we can't get now in Australia, I can't recall I stopped.

848
00:56:10,573 --> 00:56:13,893
Speaker 2: Listening and reading. Now's the time that now's the time.

849
00:56:13,893 --> 00:56:17,053
Speaker 2: I'm just going to say that I watched this morning

850
00:56:18,493 --> 00:56:26,173
Speaker 2: the discussion you had with the dark Horse podcast whatever

851
00:56:26,213 --> 00:56:29,053
Speaker 2: it is. But it's a it's a video the dark Horse.

852
00:56:29,573 --> 00:56:32,813
Speaker 2: Now I didn't have time to go back and catch

853
00:56:32,853 --> 00:56:35,453
Speaker 2: the name of the guy who runs it.

854
00:56:35,493 --> 00:56:36,413
Speaker 3: Can you record it?

855
00:56:37,173 --> 00:56:39,093
Speaker 4: Yeah, it's Brent Bret.

856
00:56:40,533 --> 00:56:45,453
Speaker 3: Brett Brett does it doesn't matter, but yes, he's quite

857
00:56:45,653 --> 00:56:48,133
Speaker 3: he's quite a big podcaster in the States.

858
00:56:49,613 --> 00:56:52,613
Speaker 2: So at the end of it, or towards the end,

859
00:56:53,533 --> 00:56:56,733
Speaker 2: he said, what we must do is actually take the

860
00:56:56,893 --> 00:57:00,733
Speaker 2: example of COVID, where we've gotten as close as we

861
00:57:00,933 --> 00:57:04,413
Speaker 2: are ever going to get to to seeing the dysfunction

862
00:57:04,933 --> 00:57:08,333
Speaker 2: of our system, and we should analyze what took place.

863
00:57:09,533 --> 00:57:12,773
Speaker 2: How did we allow ourselves to be marched in this direction,

864
00:57:13,173 --> 00:57:17,013
Speaker 2: to apply these remedies, to ignore other remedies that actually work.

865
00:57:17,613 --> 00:57:20,133
Speaker 2: How did that happen. If we can get to the

866
00:57:20,173 --> 00:57:23,973
Speaker 2: bottom of the story of COVID, we will know how

867
00:57:24,013 --> 00:57:26,853
Speaker 2: to cure our system. But they're going to fend off

868
00:57:26,973 --> 00:57:30,173
Speaker 2: that investigation with everything they've got.

869
00:57:30,493 --> 00:57:33,453
Speaker 3: You know, that's a very very accurate statement. I'd forgotten

870
00:57:33,493 --> 00:57:37,813
Speaker 3: he said that, but I couldn't say it better myself.

871
00:57:38,213 --> 00:57:41,773
Speaker 2: See, we've got these inquiries going on in both Australia

872
00:57:41,813 --> 00:57:45,453
Speaker 2: and New Zealand which are all a joke, exactly waste

873
00:57:45,493 --> 00:57:49,013
Speaker 2: of space and money. If you've got something useful to say,

874
00:57:49,053 --> 00:57:51,493
Speaker 2: you're not asked to say it. I know people fall

875
00:57:51,533 --> 00:57:55,813
Speaker 2: into that category. So having dealt with that, the WHO

876
00:57:56,893 --> 00:58:00,973
Speaker 2: and I was on top of this move by the

877
00:58:01,053 --> 00:58:05,933
Speaker 2: wahow up until more recently when we took a holiday

878
00:58:05,973 --> 00:58:07,653
Speaker 2: and forgot everything that was going on.

879
00:58:08,493 --> 00:58:08,733
Speaker 3: Much.

880
00:58:09,213 --> 00:58:12,373
Speaker 2: What's your reaction to the changes that the WHO is

881
00:58:12,453 --> 00:58:17,533
Speaker 2: flogging with regard to the next crisis and the one

882
00:58:17,573 --> 00:58:18,053
Speaker 2: after that.

883
00:58:19,413 --> 00:58:24,213
Speaker 3: Well, the first thing is to realize that WHO is

884
00:58:24,253 --> 00:58:26,693
Speaker 3: not what it used to be. It's always been a

885
00:58:26,733 --> 00:58:32,293
Speaker 3: political organization, but what's happened is that then it is

886
00:58:32,373 --> 00:58:37,533
Speaker 3: now essentially run by outside vested interests that are not

887
00:58:38,293 --> 00:58:46,133
Speaker 3: just governments. They're heavily funded by private industry and private individuals.

888
00:58:46,613 --> 00:58:52,013
Speaker 3: They have this worldview which seems to support their own

889
00:58:52,053 --> 00:58:53,333
Speaker 3: profit motivations.

890
00:58:54,493 --> 00:58:57,333
Speaker 4: I mean, even looking at this as benign.

891
00:58:56,893 --> 00:59:00,853
Speaker 3: A way as you can, you can't have one size

892
00:59:00,853 --> 00:59:04,653
Speaker 3: fit all, which is essentially what they're trying to propose.

893
00:59:05,493 --> 00:59:09,253
Speaker 4: The one size fit all pretty concerning.

894
00:59:09,773 --> 00:59:12,693
Speaker 3: But you know, to have an organization like the WHO

895
00:59:12,853 --> 00:59:15,453
Speaker 3: with a track record which is nothing short of appalling

896
00:59:15,653 --> 00:59:18,933
Speaker 3: over the COVID era telling you in New Zealand, and

897
00:59:19,013 --> 00:59:21,853
Speaker 3: us in Australia, how to run our medical services, and

898
00:59:21,893 --> 00:59:29,093
Speaker 3: how to prepare for the next facts the next it's.

899
00:59:28,733 --> 00:59:30,413
Speaker 4: Laughable if it wasn't so serious.

900
00:59:31,453 --> 00:59:34,573
Speaker 3: And we're about to put in play from January one

901
00:59:34,653 --> 00:59:39,013
Speaker 3: our own CDC in Australia. God only knows how that's

902
00:59:39,053 --> 00:59:42,493
Speaker 3: going to function. It'll be hand in hand, I assume

903
00:59:42,573 --> 00:59:46,253
Speaker 3: with the whhow and you and I aren't going to

904
00:59:46,293 --> 00:59:46,813
Speaker 3: be listened to?

905
00:59:47,373 --> 00:59:49,293
Speaker 2: Well, there's no reason why I should be, but every

906
00:59:49,333 --> 00:59:55,573
Speaker 2: reason why you should be. Did you ever meet Ashley Bloomfield? No,

907
00:59:55,653 --> 00:59:59,053
Speaker 2: I don't know, Actually Bluefield, don't know the name. He

908
01:00:00,653 --> 01:00:05,333
Speaker 2: was in charge of everything here during COVID, basically, and

909
01:00:05,453 --> 01:00:09,653
Speaker 2: he scored a knighthood through it. He sold all the

910
01:00:10,613 --> 01:00:13,293
Speaker 2: things that we've talked about that are wrong.

911
01:00:14,213 --> 01:00:15,253
Speaker 4: Now we've got a few of those.

912
01:00:15,453 --> 01:00:18,093
Speaker 3: Yeah, well we had your center too.

913
01:00:18,213 --> 01:00:21,773
Speaker 4: Don't forget. I'm sorry, ohouldn't laugh?

914
01:00:23,253 --> 01:00:28,893
Speaker 2: Well, it's healthy to laugh, you know. Well, finally, let's

915
01:00:28,933 --> 01:00:31,453
Speaker 2: just talk about the book for a moment or two.

916
01:00:32,013 --> 01:00:35,813
Speaker 2: You mentioned it earlier, COVID Through our Eyes an austrated

917
01:00:35,933 --> 01:00:40,453
Speaker 2: story of mistakes, mistreatment and misinformation. Now at this point

918
01:00:40,493 --> 01:00:42,573
Speaker 2: I'm going to be accusative and I'm going to suggest

919
01:00:42,613 --> 01:00:44,573
Speaker 2: that one of the mistakes you made was not including

920
01:00:44,773 --> 01:00:47,413
Speaker 2: at least one chapter on New Zealand.

921
01:00:47,653 --> 01:00:50,453
Speaker 3: You really should have. Yeah, a good point.

922
01:00:51,373 --> 01:00:56,333
Speaker 2: Edited by Professor Robert Clancy and doctor Melissa McCann. Now

923
01:00:56,533 --> 01:01:01,093
Speaker 2: there are nineteen chapters in Part one.

924
01:01:01,893 --> 01:01:02,413
Speaker 3: Part two.

925
01:01:02,573 --> 01:01:06,493
Speaker 2: Personal Encounters doesn't doesn't have a chapter number, and it's

926
01:01:06,533 --> 01:01:10,933
Speaker 2: a book that I believe anybody who is interested in

927
01:01:10,973 --> 01:01:15,053
Speaker 2: this particular subject should get their hands on. It's one

928
01:01:15,053 --> 01:01:17,893
Speaker 2: of the better ones. He starts off with what this

929
01:01:17,933 --> 01:01:24,533
Speaker 2: book is about, finishes with the futurists, that is he

930
01:01:24,733 --> 01:01:29,373
Speaker 2: being Robert Clancy, and in between there are numerous people

931
01:01:29,773 --> 01:01:32,693
Speaker 2: in various areas, including Gigi Faster, who we had on

932
01:01:32,733 --> 01:01:36,973
Speaker 2: the podcast way back in twenty one on Podcast one

933
01:01:37,053 --> 01:01:40,893
Speaker 2: three two. How did I remember that? And it's a

934
01:01:40,893 --> 01:01:44,213
Speaker 2: book that will answer a lot of questions I believe.

935
01:01:44,733 --> 01:01:49,253
Speaker 3: Am I wrong? I don't know if I think it

936
01:01:49,293 --> 01:01:55,093
Speaker 3: puts questions, It identifies what we do know, It gives

937
01:01:55,133 --> 01:01:57,933
Speaker 3: some ideas of things how we can do things better.

938
01:01:58,013 --> 01:02:01,253
Speaker 3: It's a bit hard for me to be too critical

939
01:02:01,293 --> 01:02:04,533
Speaker 3: of different aspects, but no, what we've tried to do

940
01:02:04,773 --> 01:02:09,733
Speaker 3: is to tell our experience from different perspectives. No one

941
01:02:09,813 --> 01:02:13,013
Speaker 3: was told what to write. They all had free reign

942
01:02:13,053 --> 01:02:16,013
Speaker 3: to write what they wanted to write. There's a certain

943
01:02:16,093 --> 01:02:21,013
Speaker 3: consistency of views, as you would note, and some people

944
01:02:21,053 --> 01:02:24,133
Speaker 3: have got different ideas and views. But by and large,

945
01:02:24,493 --> 01:02:28,013
Speaker 3: it's an indictment of a process that we went through.

946
01:02:28,933 --> 01:02:31,493
Speaker 3: It's an indictment of the way in which it was

947
01:02:31,573 --> 01:02:36,653
Speaker 3: run and the outcomes. Our failure, I think, the failure

948
01:02:36,813 --> 01:02:42,413
Speaker 3: of government to honestly assess what went wrong and if

949
01:02:42,453 --> 01:02:47,853
Speaker 3: they liked what went right, is extremely disappointing because our

950
01:02:47,893 --> 01:02:50,333
Speaker 3: government and it seems I thought your government would be

951
01:02:50,573 --> 01:02:55,933
Speaker 3: more open and more objective. Well, no, I think we did.

952
01:02:56,173 --> 01:02:58,973
Speaker 3: We held our great hope for the New Zealand government.

953
01:02:59,013 --> 01:03:02,933
Speaker 3: Oh yes, that's what I'm laughing at. Yeah, and I

954
01:03:03,013 --> 01:03:07,173
Speaker 3: think you've let the team down a little. But you know,

955
01:03:08,413 --> 01:03:14,133
Speaker 3: quiries we had were amazing. I knew some of the statisticians,

956
01:03:14,173 --> 01:03:17,933
Speaker 3: for example, looking at excess deaths. The excess death business

957
01:03:18,053 --> 01:03:22,893
Speaker 3: is seriously concerning. The Japanese have come out with They've

958
01:03:22,893 --> 01:03:24,693
Speaker 3: done what no one else has been able to do,

959
01:03:24,773 --> 01:03:27,613
Speaker 3: and that is look at excess deaths in the vaccinated

960
01:03:27,893 --> 01:03:31,973
Speaker 3: versus the non vaccinator, and they show that the excess

961
01:03:31,973 --> 01:03:36,893
Speaker 3: deaths is essentially confined to the vaccinated group, and there's

962
01:03:36,933 --> 01:03:40,213
Speaker 3: a delay of several months, which means that the early

963
01:03:40,253 --> 01:03:43,973
Speaker 3: studies looking at what's going on would miss the bulk

964
01:03:44,013 --> 01:03:47,333
Speaker 3: of the exces deaths. And they looked at twenty one

965
01:03:47,573 --> 01:03:50,493
Speaker 3: million people. You know, this was not just a group

966
01:03:50,533 --> 01:03:51,493
Speaker 3: of a couple of hundred.

967
01:03:52,693 --> 01:03:54,893
Speaker 2: This book takes up the story of the actual medical

968
01:03:54,973 --> 01:03:59,733
Speaker 2: response to COVID nineteen. In contrast to the plan. COVID

969
01:03:59,853 --> 01:04:04,093
Speaker 2: in Australia is a narrative in fifteen stages. It's want

970
01:04:04,093 --> 01:04:09,053
Speaker 2: to refer to stage number ten Australia's Therapeutic Goods Administration,

971
01:04:09,453 --> 01:04:12,053
Speaker 2: the TGA, which we share with you.

972
01:04:12,053 --> 01:04:15,293
Speaker 3: No, well, you've got your own. They talk to each other.

973
01:04:15,693 --> 01:04:20,853
Speaker 2: Well, I think the weight of numbers might win out anyway.

974
01:04:21,053 --> 01:04:25,533
Speaker 2: Fast tracked genetic vaccine approvals with scanty supporting data at

975
01:04:25,533 --> 01:04:29,213
Speaker 2: every level. These vaccines have been used in medical practice

976
01:04:29,253 --> 01:04:33,253
Speaker 2: and better fitted the definition of gene therapy than their

977
01:04:33,293 --> 01:04:40,533
Speaker 2: classification as vaccines. But it was the the TGA and

978
01:04:40,613 --> 01:04:44,613
Speaker 2: the genetic aspect of it that I wanted to I

979
01:04:44,653 --> 01:04:46,653
Speaker 2: said I was going to finish on the last on

980
01:04:46,693 --> 01:04:49,333
Speaker 2: the last point, but I want your opinion if you

981
01:04:49,733 --> 01:04:51,653
Speaker 2: if you care to share it, if you have one,

982
01:04:52,213 --> 01:04:55,373
Speaker 2: with regard to what is going on here at the moment,

983
01:04:55,413 --> 01:05:01,213
Speaker 2: with the the therapeutic and genetic aspect of life. And

984
01:05:01,253 --> 01:05:04,813
Speaker 2: the prime example I utilize is that they're doing away

985
01:05:04,853 --> 01:05:09,453
Speaker 2: with the contents of a whatever is in a can.

986
01:05:09,533 --> 01:05:11,533
Speaker 2: You've got a can of beans. There's nothing to read

987
01:05:11,653 --> 01:05:14,573
Speaker 2: on the back to tell you how it's come about,

988
01:05:14,813 --> 01:05:18,853
Speaker 2: or detail about it, or whether it's whether it's been

989
01:05:19,173 --> 01:05:22,973
Speaker 2: fiddled with along the way. Why are they doing that,

990
01:05:23,573 --> 01:05:26,853
Speaker 2: you tell me, I mean, that's extraordinary. I mean, I

991
01:05:26,853 --> 01:05:34,853
Speaker 2: think we're moving into an era where subtle changes in preparation,

992
01:05:35,053 --> 01:05:39,613
Speaker 2: subtle constituents put in can have a major health outcomes.

993
01:05:40,133 --> 01:05:43,133
Speaker 2: And I mean, I'm not an expert in the area,

994
01:05:43,173 --> 01:05:46,853
Speaker 2: but you know, I recently went to a talk on

995
01:05:47,653 --> 01:05:51,213
Speaker 2: some of these plastic materials that are in our water supplies,

996
01:05:51,253 --> 01:05:54,373
Speaker 2: and no one has a clue what they do. There's

997
01:05:54,413 --> 01:05:58,493
Speaker 2: no real evidence they do anything, but they might. I

998
01:05:58,533 --> 01:06:00,253
Speaker 2: think that we're finding these things.

999
01:06:00,533 --> 01:06:06,053
Speaker 3: If you don't identify what we're eating in cans and whatevers,

1000
01:06:06,773 --> 01:06:10,013
Speaker 3: we're never going to know any answers. It's a bit

1001
01:06:10,173 --> 01:06:13,693
Speaker 3: like not telling people that the vaccines, a messenger RNA vaccine,

1002
01:06:13,693 --> 01:06:16,973
Speaker 3: what's the difference? Just say this is a vaccine for COVID.

1003
01:06:17,573 --> 01:06:20,973
Speaker 2: All right, So let me suggest there is a connection

1004
01:06:21,093 --> 01:06:26,493
Speaker 2: between the who what eliminating the contents and the weather

1005
01:06:26,613 --> 01:06:29,213
Speaker 2: come from, et cetera. Inside a can of whatever it

1006
01:06:29,253 --> 01:06:32,973
Speaker 2: might be or a packet may have something to do

1007
01:06:33,053 --> 01:06:36,093
Speaker 2: with the World Economic Forum and their goal.

1008
01:06:38,013 --> 01:06:40,253
Speaker 4: I would not be at all surprised.

1009
01:06:41,373 --> 01:06:43,613
Speaker 2: I'm not I'm glad you said that, because I'm not

1010
01:06:43,653 --> 01:06:46,773
Speaker 2: saying it is I'm saying that the opportunity there is

1011
01:06:47,573 --> 01:06:49,853
Speaker 2: there to assume that it may well be.

1012
01:06:50,933 --> 01:06:53,733
Speaker 3: I wouldn't be at all surprised. I think it's consistent

1013
01:06:54,253 --> 01:07:00,533
Speaker 3: with the general thoughts in the area exactly. Very concerning.

1014
01:07:01,573 --> 01:07:04,773
Speaker 3: Last question, where do you go from here with your

1015
01:07:05,293 --> 01:07:13,373
Speaker 3: with your work? Well, maybe four next week, so I'd

1016
01:07:13,413 --> 01:07:15,573
Speaker 3: like to think where we go. I'd like to think

1017
01:07:15,613 --> 01:07:19,813
Speaker 3: that if nothing else I can. At a personal level,

1018
01:07:19,933 --> 01:07:23,933
Speaker 3: I am particularly concerned about people who have got vaccine

1019
01:07:24,373 --> 01:07:28,093
Speaker 3: messenger RNA vaccine damage. So I'm setting up a small

1020
01:07:28,133 --> 01:07:32,493
Speaker 3: clinic where I see such patients. But what I'm trying

1021
01:07:32,533 --> 01:07:36,173
Speaker 3: to do is set up a program that is easily

1022
01:07:36,173 --> 01:07:38,533
Speaker 3: transportable to the people who will see a lot more

1023
01:07:39,373 --> 01:07:41,973
Speaker 3: because we're making a huge difference in the outcomes by

1024
01:07:42,013 --> 01:07:45,053
Speaker 3: treating them with ivermectin. About sixty seventy percent of these

1025
01:07:45,053 --> 01:07:48,213
Speaker 3: people their life changes. In fact, last week I had

1026
01:07:48,253 --> 01:07:51,693
Speaker 3: an email from a patient complaining it had one week

1027
01:07:51,773 --> 01:07:56,133
Speaker 3: of I've amectin. The guy had terrible fatigue, he said,

1028
01:07:56,893 --> 01:07:58,053
Speaker 3: he said, I've been reborn.

1029
01:07:58,093 --> 01:07:58,373
Speaker 4: He said.

1030
01:07:58,453 --> 01:08:00,333
Speaker 3: My wife has asked me to go to the doctor

1031
01:08:00,373 --> 01:08:05,293
Speaker 3: because she thinks I've got mania because she hasn't seen

1032
01:08:05,333 --> 01:08:09,773
Speaker 3: me like this for so long. Now, that's an extraordinary outcome,

1033
01:08:09,813 --> 01:08:12,573
Speaker 3: But most of the patients are benefiting. And yet no

1034
01:08:12,653 --> 01:08:15,853
Speaker 3: one wants to treat basins this way because the drug's

1035
01:08:15,853 --> 01:08:20,333
Speaker 3: got such a bad name through what happened at a

1036
01:08:20,373 --> 01:08:27,053
Speaker 3: political and company level through COVID. And yet it's the

1037
01:08:27,133 --> 01:08:33,333
Speaker 3: highest binding chemical to COVID spike protein that exists, and

1038
01:08:33,373 --> 01:08:35,373
Speaker 3: it's very effective at a personal level.

1039
01:08:35,413 --> 01:08:36,813
Speaker 4: That's what I'm going to do.

1040
01:08:37,813 --> 01:08:40,533
Speaker 3: At a more generic level, I'm hoping that a few

1041
01:08:40,573 --> 01:08:44,893
Speaker 3: other people can do what I've been doing and come

1042
01:08:44,933 --> 01:08:48,813
Speaker 3: from a basic science evidence viewpoint of mucosal iminology, which

1043
01:08:48,973 --> 01:08:52,653
Speaker 3: very few people seem to have that specialty interest.

1044
01:08:54,013 --> 01:08:56,733
Speaker 2: Well, there will be people who will be asking me,

1045
01:08:56,933 --> 01:09:01,013
Speaker 2: how do I find you? How do they do you have?

1046
01:09:01,333 --> 01:09:02,453
Speaker 2: Do you have any response?

1047
01:09:03,493 --> 01:09:06,893
Speaker 3: Look, I get emails from people every day at a

1048
01:09:06,893 --> 01:09:10,173
Speaker 3: half dozen, dozen, twenty. I can't answer them. I don't

1049
01:09:10,213 --> 01:09:12,973
Speaker 3: know what to say to these people because I've got it.

1050
01:09:13,093 --> 01:09:15,973
Speaker 3: You won't believe this. I've got someone from Canada coming

1051
01:09:16,013 --> 01:09:19,813
Speaker 3: out to see me because they cannot get with terrible

1052
01:09:19,893 --> 01:09:26,613
Speaker 3: post COVID vaccine damage, just total fatigue, total brain fog,

1053
01:09:27,733 --> 01:09:30,613
Speaker 3: and no one will treat them with. I've emectin, So

1054
01:09:30,773 --> 01:09:32,613
Speaker 3: he's coming out to see me in Sydney. I said,

1055
01:09:32,813 --> 01:09:37,693
Speaker 3: don't do that's crazy, But that's how sad the situation is.

1056
01:09:39,413 --> 01:09:43,093
Speaker 3: I can't I'm only seeing eight people every second week

1057
01:09:43,173 --> 01:09:46,813
Speaker 3: now because I said, I've got other things to do.

1058
01:09:48,013 --> 01:09:51,213
Speaker 3: I'm trying to find other doctors that will do this.

1059
01:09:51,733 --> 01:09:53,573
Speaker 3: I'm talking with a couple of people at the moment,

1060
01:09:54,293 --> 01:09:56,733
Speaker 3: but they're dead scared. They don't want to prescribe, even

1061
01:09:56,733 --> 01:10:01,773
Speaker 3: though it's totally legal. I've a mectin because they get banned.

1062
01:10:02,853 --> 01:10:04,573
Speaker 3: You know, there are people here that haven't worked for

1063
01:10:04,613 --> 01:10:10,293
Speaker 3: four years because they legally prescribed. I've amectan g good GPS,

1064
01:10:10,333 --> 01:10:11,733
Speaker 3: probably the same in New Zealand.

1065
01:10:11,813 --> 01:10:14,813
Speaker 2: Well, we've got doctor shortages here. That's the insanity of

1066
01:10:14,853 --> 01:10:17,573
Speaker 2: it is. There are still people, as far as I'm aware,

1067
01:10:17,613 --> 01:10:22,173
Speaker 2: who lost their lost their jobs, not just in the

1068
01:10:22,173 --> 01:10:26,373
Speaker 2: medical field but in others because they wouldn't they wouldn't

1069
01:10:27,093 --> 01:10:32,733
Speaker 2: be assaulted. And it's crazy when when there is a

1070
01:10:32,773 --> 01:10:36,293
Speaker 2: shortage of fireman for instance, just as an example.

1071
01:10:36,773 --> 01:10:40,373
Speaker 3: Yeah, well the current economy wills probably sort that out

1072
01:10:40,373 --> 01:10:40,653
Speaker 3: a bit.

1073
01:10:41,573 --> 01:10:45,893
Speaker 2: Robert, it's been great talking with it, seriously enjoyable, entertaining

1074
01:10:46,133 --> 01:10:48,613
Speaker 2: and in places and informative.

1075
01:10:48,973 --> 01:10:51,813
Speaker 3: Well, it's been very nice from my perspective to talk

1076
01:10:51,853 --> 01:10:57,613
Speaker 3: to an Australian New Zealander trans Tasman trans Tasman. It's

1077
01:10:57,653 --> 01:11:00,893
Speaker 3: the only trans we except these days. So thank you

1078
01:11:01,053 --> 01:11:03,693
Speaker 3: and may we talk again sometime.

1079
01:11:03,973 --> 01:11:06,533
Speaker 4: It would be a great pleasure. Nice talking to you, lad.

1080
01:11:20,733 --> 01:11:20,893
Speaker 3: Well.

1081
01:11:20,933 --> 01:11:22,533
Speaker 2: I think you can tell that he's a good man.

1082
01:11:22,653 --> 01:11:25,733
Speaker 2: He is a great man actually in my opinion, and

1083
01:11:25,813 --> 01:11:28,893
Speaker 2: the people who joined forces with him to publish this

1084
01:11:28,893 --> 01:11:33,533
Speaker 2: book deserve to be commended. There are so many books around,

1085
01:11:33,533 --> 01:11:37,213
Speaker 2: aren't they that you'd love to read. Haven't got the time,

1086
01:11:37,293 --> 01:11:40,013
Speaker 2: haven't got the money, whatever it might be, but you've

1087
01:11:40,053 --> 01:11:41,933
Speaker 2: got to get your hands on some of these because

1088
01:11:41,933 --> 01:11:46,413
Speaker 2: they're so very very informative, and information this day and

1089
01:11:46,533 --> 01:11:50,333
Speaker 2: age is more important than ever. So we got one

1090
01:11:50,373 --> 01:11:54,413
Speaker 2: more to go from the best of the year, and

1091
01:11:54,453 --> 01:11:58,693
Speaker 2: then we shall rejoin the usual program. So whatever is

1092
01:11:58,773 --> 01:12:02,773
Speaker 2: left of your holiday or might be, I just say,

1093
01:12:02,853 --> 01:12:07,613
Speaker 2: enjoy it and life will return to normal in a

1094
01:12:07,693 --> 01:12:16,333
Speaker 2: couple of weeks.

1095
01:12:09,053 --> 01:12:19,413
Speaker 1: M Thank you for more from Used Talks at b

1096
01:12:19,693 --> 01:12:22,933
Speaker 1: Listen live on air or online, and keep our shows

1097
01:12:22,933 --> 01:12:26,293
Speaker 1: with you wherever you go with our podcasts on iHeartRadio