1 00:00:09,093 --> 00:00:11,973 Speaker 1: You're listening to a podcast from news talks it B. 2 00:00:12,373 --> 00:00:16,173 Speaker 1: Follow this and our wide range of podcasts now on iHeartRadio. 3 00:00:16,733 --> 00:00:19,733 Speaker 1: It's time for all the attitude, all the opinion, all 4 00:00:19,773 --> 00:00:25,933 Speaker 1: the information, all the debates. Now the lighton Smith podcast 5 00:00:26,213 --> 00:00:27,333 Speaker 1: powered by news. 6 00:00:27,133 --> 00:00:27,653 Speaker 2: Talks it B. 7 00:00:28,453 --> 00:00:31,933 Speaker 3: Welcome to podcast three hundred and eight for October twenty nine, 8 00:00:32,053 --> 00:00:35,653 Speaker 3: twenty twenty five, which means this year is slipping by 9 00:00:36,333 --> 00:00:39,213 Speaker 3: rather rapidly. Or to put it another way, that's only 10 00:00:39,253 --> 00:00:43,693 Speaker 3: about six more podcasts to Christmas, which might not be enough. 11 00:00:44,893 --> 00:00:48,733 Speaker 3: I as an example, I've just received the a poll 12 00:00:48,973 --> 00:00:53,573 Speaker 3: result from Patrick Masham from Democracy Institute and the Daily 13 00:00:53,613 --> 00:00:56,853 Speaker 3: Express on the New York City mayor poll. It's not 14 00:00:56,933 --> 00:01:02,053 Speaker 3: looking good. It's looking very, very unhealthy. However, over the 15 00:01:02,133 --> 00:01:06,213 Speaker 3: last few days, I've consumed as much information on COVID 16 00:01:06,333 --> 00:01:10,213 Speaker 3: nineteen as I could, for a variety of reasons, but 17 00:01:10,333 --> 00:01:13,133 Speaker 3: specifically so I could spend an hour or so with 18 00:01:13,413 --> 00:01:18,693 Speaker 3: Professor Robert Clancy without appearing entirely stupid. I've wanted to 19 00:01:18,693 --> 00:01:24,213 Speaker 3: interview Robert Clancy for the last three years, and I 20 00:01:24,293 --> 00:01:28,053 Speaker 3: can't explain why it hasn't happened, But now it has. 21 00:01:28,253 --> 00:01:31,053 Speaker 3: I'm very pleased to say. There's a book out that's 22 00:01:31,093 --> 00:01:33,653 Speaker 3: been I think out for a couple of months, COVID 23 00:01:33,733 --> 00:01:39,133 Speaker 3: through Our Eyes, An Australian Story of mistakes, mistreatment and misinformation, 24 00:01:39,693 --> 00:01:44,853 Speaker 3: edited by Professor Robert Clancy and by doctor Melissa McCann. 25 00:01:45,333 --> 00:01:48,613 Speaker 3: At the beginning of the discussion that we had the interview, 26 00:01:49,013 --> 00:01:51,893 Speaker 3: I've run through some detail that I don't want to 27 00:01:53,213 --> 00:01:57,293 Speaker 3: Shall we say repeat in front of that play? So 28 00:01:57,613 --> 00:02:01,573 Speaker 3: I will quote you the following. The accusation leveled in 29 00:02:01,613 --> 00:02:04,693 Speaker 3: this book that the whole of Australia was led down 30 00:02:04,733 --> 00:02:08,253 Speaker 3: the wrong road in responding to the COVID pandemic is 31 00:02:08,493 --> 00:02:11,973 Speaker 3: accompanied by a disturbing explanation of how that happened. The 32 00:02:12,093 --> 00:02:16,733 Speaker 3: US government and the World Health Organization improperly, improperly yielded 33 00:02:16,773 --> 00:02:21,853 Speaker 3: to manipulation by the pharmaceutical industry interested only in making money. 34 00:02:22,213 --> 00:02:26,813 Speaker 3: Australian governments and health authorities improperly abandoned the Australian Pandemic 35 00:02:26,893 --> 00:02:31,373 Speaker 3: Plan for the industry, doctrine dictated by the USA and 36 00:02:31,613 --> 00:02:37,253 Speaker 3: the World Health Organization. It's uncomfortable for Australian readers now 37 00:02:37,293 --> 00:02:40,573 Speaker 3: to confront the claim that our country was manipulated by 38 00:02:40,773 --> 00:02:46,053 Speaker 3: multinational corporations and their beneficiaries. In the theory, the US 39 00:02:46,173 --> 00:02:51,333 Speaker 3: government should be independent of profit driven corporate direction. At 40 00:02:51,373 --> 00:02:55,533 Speaker 3: our independent sovereign commonwealth makes its own decisions in the 41 00:02:55,573 --> 00:02:59,093 Speaker 3: best interests of its people. An understandable reaction is to 42 00:02:59,093 --> 00:03:02,573 Speaker 3: deny that it happened, to assert instead that Australia acted 43 00:03:02,653 --> 00:03:07,813 Speaker 3: independently of foreign interference and corporate interests. In that case, 44 00:03:08,453 --> 00:03:11,853 Speaker 3: it would just have been a fortunate accident for the 45 00:03:11,853 --> 00:03:16,973 Speaker 3: global industry that Australia yielded it such massive profits, and 46 00:03:17,093 --> 00:03:20,533 Speaker 3: the commentators who were alleged otherwise must have been imagining 47 00:03:20,613 --> 00:03:23,693 Speaker 3: something that couldn't have happened. So let me turn to 48 00:03:23,733 --> 00:03:27,173 Speaker 3: the back of the book. Of the back cover, let 49 00:03:27,253 --> 00:03:29,533 Speaker 3: me turn to a column that was written in The 50 00:03:29,893 --> 00:03:35,853 Speaker 3: New York Times earlier in the year, and I only 51 00:03:35,933 --> 00:03:38,293 Speaker 3: became aware of it when I read something from Guy 52 00:03:38,333 --> 00:03:42,253 Speaker 3: Hatchett's over the weekend. We were badly misled about the 53 00:03:42,293 --> 00:03:45,533 Speaker 3: event that changed our lives, And it turns out that 54 00:03:46,133 --> 00:03:49,653 Speaker 3: zeynep to Fecki is an opinion columnist with the New 55 00:03:49,733 --> 00:03:52,693 Speaker 3: York Times, and that was her headline. We were badly 56 00:03:52,733 --> 00:03:56,613 Speaker 3: misled about the event that changed our lives. Since scientists 57 00:03:56,613 --> 00:03:59,813 Speaker 3: first began playing around with dangerous pathogens in laboratories. The 58 00:03:59,853 --> 00:04:03,173 Speaker 3: world has experienced four or five pandemics, depending on how 59 00:04:03,213 --> 00:04:06,413 Speaker 3: you count one of them. The nineteen seventy seven Russian 60 00:04:06,413 --> 00:04:09,973 Speaker 3: flu was almost certainly sparked by a research mishap. Some 61 00:04:10,093 --> 00:04:13,533 Speaker 3: Western scientists quickly suspected the odd virus had resided in 62 00:04:13,573 --> 00:04:16,293 Speaker 3: a lab freezer for a couple of decades, but they 63 00:04:16,373 --> 00:04:20,253 Speaker 3: kept mostly quiet for fear of ruffling feathers. Yet, in 64 00:04:20,293 --> 00:04:24,813 Speaker 3: twenty twenty, when people started speculating that a laboratory accident 65 00:04:24,933 --> 00:04:27,813 Speaker 3: might have been the spark that started the COVID pandemic, 66 00:04:28,653 --> 00:04:32,453 Speaker 3: they were treated like cooks and cranks. Many public health 67 00:04:32,493 --> 00:04:35,453 Speaker 3: of visuals and prominent scientists dismissed the idea as a 68 00:04:35,493 --> 00:04:39,973 Speaker 3: conspiracy theory, insisting that the virus had emerged from animals 69 00:04:39,973 --> 00:04:42,973 Speaker 3: in a seafood market in wu Han, China. And when 70 00:04:43,013 --> 00:04:47,613 Speaker 3: a non profit called EcoHealth Alliance lost to grant because 71 00:04:47,613 --> 00:04:50,933 Speaker 3: it was planning to conduct risky research into bat viruses 72 00:04:51,133 --> 00:04:55,693 Speaker 3: with Wuhn Institute of Virology, research that if conducted with 73 00:04:55,853 --> 00:04:59,893 Speaker 3: lacks safety standards, could have resulted in a dangerous pathogen 74 00:05:00,053 --> 00:05:03,373 Speaker 3: leaking out into the world. No fewer than seventy seven 75 00:05:03,453 --> 00:05:07,333 Speaker 3: Nobel laureates and thirty one scientific societies lined up to 76 00:05:07,413 --> 00:05:13,693 Speaker 3: defend the organization. So the Wuhan research was totally safe 77 00:05:13,733 --> 00:05:17,573 Speaker 3: and the pandemic was definitely caused by natural transmission, It 78 00:05:17,733 --> 00:05:23,733 Speaker 3: certainly seemed like consensus. We have since learned, however, that 79 00:05:23,813 --> 00:05:28,653 Speaker 3: to promote the appearance of consensus, some officials and scientists hid, hid, 80 00:05:29,253 --> 00:05:34,733 Speaker 3: or understated crucial facts, misled at least one reporter, orchestrated 81 00:05:34,813 --> 00:05:40,173 Speaker 3: campaigns of supposedly independent voices that even compared notes about 82 00:05:40,173 --> 00:05:42,893 Speaker 3: how to hide their communications in order to keep the 83 00:05:42,933 --> 00:05:45,973 Speaker 3: public from hearing the whole story. And as for that 84 00:05:46,053 --> 00:05:50,893 Speaker 3: Wuhan Laboratories research, the details that have since emerged show 85 00:05:50,973 --> 00:05:57,413 Speaker 3: that safety precautions may have been terrifyingly lacks five years 86 00:05:57,493 --> 00:06:00,293 Speaker 3: after the onset of the COVID pandemic. It's tempting to 87 00:06:00,333 --> 00:06:05,053 Speaker 3: think all of that as ancient history. We learned our 88 00:06:05,173 --> 00:06:08,093 Speaker 3: lesson about lab safety and about the need to be 89 00:06:08,613 --> 00:06:11,613 Speaker 3: with the public, and now we can move on to 90 00:06:11,933 --> 00:06:17,173 Speaker 3: new crises like measles or evolving bird flu. Right wrong. 91 00:06:17,493 --> 00:06:20,733 Speaker 3: If anyone needs convincing that the next pandemic is only 92 00:06:20,773 --> 00:06:24,253 Speaker 3: an accident, away. Check out a recent paper in cell 93 00:06:24,333 --> 00:06:29,093 Speaker 3: Let's Seel, the prestigious scientific journal researches, many of whom 94 00:06:29,293 --> 00:06:32,653 Speaker 3: work or have worked at the Wuhan Institute of Virology 95 00:06:32,973 --> 00:06:38,693 Speaker 3: that same institution describe taking samples of viruses found in bats, yeah, 96 00:06:38,733 --> 00:06:41,853 Speaker 3: the same animal, and experimenting to see if they could 97 00:06:41,893 --> 00:06:45,533 Speaker 3: infect human cells and pose a pandemic risk. And it 98 00:06:45,573 --> 00:06:50,813 Speaker 3: goes on for about another four foolscap pages. Now, the 99 00:06:50,893 --> 00:06:54,533 Speaker 3: reason that I wanted to quote that is because the 100 00:06:54,613 --> 00:06:58,533 Speaker 3: man we're about to talk with, Professor Robert Clancy, was 101 00:06:58,653 --> 00:07:01,493 Speaker 3: way ahead of the game, along with a handful of others, 102 00:07:02,013 --> 00:07:04,973 Speaker 3: and in fact more than most people realize. But certainly 103 00:07:05,653 --> 00:07:08,213 Speaker 3: a handful of others at the top of their game. 104 00:07:08,973 --> 00:07:11,493 Speaker 3: All of them, many if not most of them, lost 105 00:07:11,493 --> 00:07:15,613 Speaker 3: their licenses, got canned, banned, thrown out, whatever the case 106 00:07:15,693 --> 00:07:19,333 Speaker 3: may be. Some of them still are unemployed. In this 107 00:07:19,373 --> 00:07:24,293 Speaker 3: conversation with Robert Clancy, we discover lots, we discuss heaps, 108 00:07:24,653 --> 00:07:26,933 Speaker 3: and some of the things we discussed I didn't know. 109 00:07:27,253 --> 00:07:28,813 Speaker 3: In fact, there was a little too much that I 110 00:07:28,853 --> 00:07:32,973 Speaker 3: didn't know for my liking. But there is plenty to 111 00:07:32,973 --> 00:07:37,493 Speaker 3: be learned in what's upcoming right after this short break. 112 00:07:48,013 --> 00:07:52,453 Speaker 3: Leverix is an antihistamine made in Switzerland to the highest quality. 113 00:07:52,653 --> 00:07:56,533 Speaker 3: Leverix relieves hay fever and skin allergies or itchy skin. 114 00:07:57,013 --> 00:08:01,333 Speaker 3: It's a dual action antihistamine and has a unique nasal 115 00:08:01,533 --> 00:08:06,173 Speaker 3: decongestant action. It's fast acting for fast relief and it 116 00:08:06,213 --> 00:08:09,333 Speaker 3: works in under an hour and lass for over twenty 117 00:08:09,373 --> 00:08:13,173 Speaker 3: four hours. Lebrix is a tiny tablet that unblocks the nose, 118 00:08:13,493 --> 00:08:17,373 Speaker 3: deals with itchy eyes, and stops sneezing. Leverrix is an 119 00:08:17,413 --> 00:08:21,773 Speaker 3: antihistamine made in Switzerland to the highest quality. So next 120 00:08:21,773 --> 00:08:25,333 Speaker 3: time you're in need of an effective antihistamine, call into 121 00:08:25,373 --> 00:08:30,053 Speaker 3: the pharmacy and ask for Leverx l e v Rix, 122 00:08:30,453 --> 00:08:33,853 Speaker 3: Levrix and always read the label. Take as directed and 123 00:08:33,973 --> 00:08:56,493 Speaker 3: if symptoms persist, see your health professional. Farmer Broker Auckland 124 00:09:05,613 --> 00:09:09,373 Speaker 3: Emeritus Professor Clancy has an international reputation in the study 125 00:09:09,413 --> 00:09:12,893 Speaker 3: of infection of the airways and gut, the way the 126 00:09:12,893 --> 00:09:16,453 Speaker 3: body processes infection, and the development of vaccines to prevent 127 00:09:16,573 --> 00:09:19,733 Speaker 3: or modify infection. He was awarded a Doctor of Science 128 00:09:19,813 --> 00:09:23,253 Speaker 3: by the University of Newcastle for his studies on infection 129 00:09:23,933 --> 00:09:28,253 Speaker 3: and the immune response of mucosal surfaces. He is a 130 00:09:28,533 --> 00:09:33,253 Speaker 3: senior clinical immunologist with an ongoing involvement in the management 131 00:09:33,293 --> 00:09:35,613 Speaker 3: of immune disorders. Now that's a short one. If you 132 00:09:35,653 --> 00:09:39,053 Speaker 3: want a longer one, I could read you. I could 133 00:09:39,053 --> 00:09:41,893 Speaker 3: read you just a little bit of this. Professor Clancy 134 00:09:41,933 --> 00:09:46,573 Speaker 3: and his team's groundbreaking research into chronic obstructive pulmonary disease 135 00:09:46,773 --> 00:09:49,413 Speaker 3: concentrated on the link between the guts and the lung 136 00:09:49,813 --> 00:09:52,373 Speaker 3: and was able to provide evidence that the best way 137 00:09:52,373 --> 00:09:56,533 Speaker 3: to create immunity against infection in the respiratory tract was 138 00:09:56,613 --> 00:10:01,493 Speaker 3: to stimulate the gut immune system, whereby these activated cells 139 00:10:01,573 --> 00:10:06,893 Speaker 3: migrate to the lung and make antibodies against organisms responsible 140 00:10:06,973 --> 00:10:11,613 Speaker 3: for the infection. Professor Clancy developed the vaccine Bronca Stat 141 00:10:11,893 --> 00:10:14,893 Speaker 3: at the University of Newcastle in nineteen eighty five. The 142 00:10:14,933 --> 00:10:19,093 Speaker 3: bronco Stat vaccine reduces attacks of acute bronchitis to a 143 00:10:19,173 --> 00:10:23,453 Speaker 3: degree of ninety percent. Professor Clancy is emeritus Professor at 144 00:10:23,453 --> 00:10:26,813 Speaker 3: the University of Newcastle School of Biomedical Sciences and Pharmacy. 145 00:10:26,813 --> 00:10:28,613 Speaker 3: And there's a whole lot more, but it's time to 146 00:10:28,653 --> 00:10:30,933 Speaker 3: say welcome to the Late and Smith podcast. Very glad 147 00:10:31,053 --> 00:10:33,893 Speaker 3: you agreed to come on. Thank you very much for 148 00:10:33,933 --> 00:10:38,013 Speaker 3: having me great pleasure. I know that you had a 149 00:10:38,093 --> 00:10:41,493 Speaker 3: long connection with New Zealand. I'd like to start with 150 00:10:42,333 --> 00:10:46,493 Speaker 3: you advising us of how strong that was and how 151 00:10:46,493 --> 00:10:47,213 Speaker 3: long it lasted. 152 00:10:47,493 --> 00:10:54,613 Speaker 4: Well, I would like to think it continues. I've I 153 00:10:54,653 --> 00:10:58,573 Speaker 4: guess I've been look. I've never seen a difference between 154 00:10:59,133 --> 00:11:03,813 Speaker 4: New Zealand and New Zealanders and Australians except on the 155 00:11:03,893 --> 00:11:07,893 Speaker 4: rugby field, and that is a huge disappointment to me. 156 00:11:08,733 --> 00:11:11,253 Speaker 4: We'd make a great team, although I don't think we'd 157 00:11:11,293 --> 00:11:15,213 Speaker 4: have too many members from this side of the ditchenet. 158 00:11:18,613 --> 00:11:23,093 Speaker 4: When I started the department, when we back again the 159 00:11:23,093 --> 00:11:26,133 Speaker 4: new Medical School in Newcastle, I had to make a 160 00:11:26,253 --> 00:11:29,973 Speaker 4: number of appointments and a lot of those appointments were 161 00:11:30,013 --> 00:11:33,493 Speaker 4: my New Zealand colleagues and friends. I think one of 162 00:11:33,533 --> 00:11:35,693 Speaker 4: the things that I've known for a long period of 163 00:11:35,693 --> 00:11:40,013 Speaker 4: time is that health professionals are extremely well trained in 164 00:11:40,173 --> 00:11:42,373 Speaker 4: New Zealand. No, they're well trained here too, of course, 165 00:11:42,813 --> 00:11:47,133 Speaker 4: but in New Zealand they are outstanding. If you look 166 00:11:47,133 --> 00:11:52,413 Speaker 4: at my old department that I left in Newcastle when 167 00:11:52,453 --> 00:11:57,613 Speaker 4: I retired, two of the three senior people in New Zealanders. 168 00:11:58,533 --> 00:12:05,493 Speaker 4: My closest research colleague for twenty five years was doctor 169 00:12:05,533 --> 00:12:09,973 Speaker 4: Gerald Pang, who was New Zealand trained. The head of 170 00:12:10,013 --> 00:12:15,013 Speaker 4: my diagnostic laboratory was a New Zealand So I can't 171 00:12:15,013 --> 00:12:17,733 Speaker 4: get away from New Zealander, and I don't want to 172 00:12:17,853 --> 00:12:22,013 Speaker 4: because they're good people. So yeah, I did a lot 173 00:12:22,053 --> 00:12:27,973 Speaker 4: of work in New Zealand. I was visiting examiner for 174 00:12:28,253 --> 00:12:32,773 Speaker 4: the Medical School. Obviously, the professional bodies that I belonged 175 00:12:32,813 --> 00:12:36,813 Speaker 4: to are not Australian, they're Australian and New Zealand. The 176 00:12:36,973 --> 00:12:40,893 Speaker 4: College of Physicians, through to the immunology thing. I was 177 00:12:41,533 --> 00:12:45,533 Speaker 4: one of the three that began clinically minology in Australia 178 00:12:45,613 --> 00:12:48,733 Speaker 4: and that's sort of overflowed and included New Zealand, and 179 00:12:48,773 --> 00:12:52,733 Speaker 4: that involved a number of trips and discussions and developments. 180 00:12:53,253 --> 00:12:57,533 Speaker 4: So my whole professional and personal life has been as 181 00:12:57,573 --> 00:13:00,293 Speaker 4: with so many people in Australia, I think I'm talking 182 00:13:00,293 --> 00:13:00,893 Speaker 4: to one at the. 183 00:13:00,853 --> 00:13:04,653 Speaker 3: Moment, guilty. So you've done a lot of backwards and 184 00:13:04,693 --> 00:13:09,053 Speaker 3: forwards and I think that's a fine thing. The College 185 00:13:09,053 --> 00:13:13,973 Speaker 3: of Physicians that you just mentioned, which is which is binational, 186 00:13:15,533 --> 00:13:19,013 Speaker 3: Is it still the organization that it used to. 187 00:13:18,933 --> 00:13:21,173 Speaker 2: Be no, no, no. 188 00:13:21,213 --> 00:13:26,453 Speaker 4: It's when I became a member and then a fellow 189 00:13:26,493 --> 00:13:32,853 Speaker 4: of the Royal Australasian College of Physicians. It was a 190 00:13:32,973 --> 00:13:37,093 Speaker 4: very different organization, but then medicine was very different. What 191 00:13:37,293 --> 00:13:42,373 Speaker 4: happened and what has happened subsequently, is the age of specialization, 192 00:13:43,013 --> 00:13:47,613 Speaker 4: and so we had a college that essentially represented physicians 193 00:13:48,013 --> 00:13:52,373 Speaker 4: as opposed to surgeons or obstetricians. The surgeons would have 194 00:13:52,413 --> 00:13:55,853 Speaker 4: their college, the consultant physicians would have their, and then 195 00:13:56,333 --> 00:14:02,013 Speaker 4: as physicians we became a heart specialist, brain specialists, joint specialists, 196 00:14:02,253 --> 00:14:07,133 Speaker 4: and all the specialty organizations, including clinically monology developed and 197 00:14:07,533 --> 00:14:11,053 Speaker 4: looked after the professional needs, and that took away from 198 00:14:11,693 --> 00:14:17,533 Speaker 4: the College of Physicians the importance of the college, and 199 00:14:17,573 --> 00:14:22,173 Speaker 4: the college was essentially left in a skeletal form. Prior 200 00:14:22,213 --> 00:14:26,853 Speaker 4: to this age of specialization, the most prestigious position in 201 00:14:26,893 --> 00:14:30,653 Speaker 4: the country would be the president of the Royal Oscillation 202 00:14:30,773 --> 00:14:35,333 Speaker 4: College of Physicians. And now I don't even know the 203 00:14:35,453 --> 00:14:39,653 Speaker 4: name of the people who are the presidents because they're 204 00:14:39,773 --> 00:14:44,973 Speaker 4: essentially a stamping organization to say you've undergone assessment, you 205 00:14:45,013 --> 00:14:48,333 Speaker 4: are now passed to become a physician. So it's really 206 00:14:48,373 --> 00:14:52,093 Speaker 4: a gateway to become a physician, and it does very 207 00:14:52,133 --> 00:14:55,213 Speaker 4: little else but the great sadness, and I'm not sure 208 00:14:55,213 --> 00:14:57,493 Speaker 4: if this is what you're alluding to, is that it's 209 00:14:57,573 --> 00:15:03,333 Speaker 4: allowed individuals to creep in that have personal agendas and 210 00:15:03,933 --> 00:15:07,373 Speaker 4: use the college for their own purposes, Whereas I think 211 00:15:07,413 --> 00:15:09,613 Speaker 4: a number of us have blas over a long period 212 00:15:09,933 --> 00:15:14,533 Speaker 4: that the college must have a more important, a more 213 00:15:14,573 --> 00:15:21,253 Speaker 4: important role, and rekindle I think some essential aspects of 214 00:15:21,373 --> 00:15:24,093 Speaker 4: what it used to have. And this battle has gone 215 00:15:24,133 --> 00:15:27,933 Speaker 4: on now for at least ten to fifteen years, doesn't 216 00:15:27,933 --> 00:15:30,053 Speaker 4: seem to be any closer to being ended. 217 00:15:30,693 --> 00:15:34,813 Speaker 3: I think that there's more than just what we've mentioned 218 00:15:34,813 --> 00:15:38,813 Speaker 3: so far, in various fields, including engineering. Just as an example, 219 00:15:39,253 --> 00:15:44,893 Speaker 3: where the organization has been taken over and pushes a well, 220 00:15:44,933 --> 00:15:50,093 Speaker 3: one could say, pushes a political agenda, if not a 221 00:15:50,253 --> 00:15:54,813 Speaker 3: financial one, or both together, and it is exceedingly disturbing. 222 00:15:54,853 --> 00:15:58,333 Speaker 3: I'll give you. I'll give you one example that was 223 00:15:58,333 --> 00:16:01,173 Speaker 3: probably the first one that I saw that I noticed 224 00:16:01,493 --> 00:16:04,653 Speaker 3: here in New Zealand, and that was and damn it, 225 00:16:04,773 --> 00:16:08,693 Speaker 3: I'm going to have to reneg on his name because 226 00:16:08,733 --> 00:16:10,733 Speaker 3: it escapes me on the spur of the moment. But 227 00:16:10,773 --> 00:16:13,853 Speaker 3: the position is exactly what I'm about to tell you. 228 00:16:14,573 --> 00:16:18,773 Speaker 3: That he was involved with climate matters. He was set 229 00:16:18,853 --> 00:16:23,733 Speaker 3: up by somebody with an agenda, a disgusting one, and 230 00:16:25,253 --> 00:16:29,373 Speaker 3: he was under a great deal of stress, and he 231 00:16:29,453 --> 00:16:32,093 Speaker 3: wasn't that old, and I interviewed him a few times. 232 00:16:32,533 --> 00:16:38,573 Speaker 3: And when he died unexpectedly, stress was considered to be 233 00:16:39,453 --> 00:16:45,453 Speaker 3: a great contributor to that passing. And I've never forgotten it, 234 00:16:45,653 --> 00:16:49,333 Speaker 3: and I've never forgiven it, and it will be a 235 00:16:49,373 --> 00:16:53,493 Speaker 3: curse on the individual who was involved, I trust. Now, 236 00:16:54,173 --> 00:16:58,373 Speaker 3: speaking of speaking of people that we either know or don't, 237 00:16:58,853 --> 00:17:01,493 Speaker 3: there's one person who I want to make mention of 238 00:17:01,653 --> 00:17:04,773 Speaker 3: now because he's no longer with us, of course, and 239 00:17:04,813 --> 00:17:08,693 Speaker 3: that is a professor Thomas Barrodi. Now. I interviewed him 240 00:17:09,533 --> 00:17:13,013 Speaker 3: on it was some time back. I interviewed him on 241 00:17:13,053 --> 00:17:17,893 Speaker 3: the twenty sixth of August of twenty twenty in podcast 242 00:17:17,973 --> 00:17:21,933 Speaker 3: number seventy eight. And I tried more recently to get 243 00:17:21,973 --> 00:17:26,413 Speaker 3: in touch and fell foul of my goal. And you 244 00:17:26,413 --> 00:17:31,133 Speaker 3: can tell us why Tom died. As you probably know, 245 00:17:31,893 --> 00:17:34,613 Speaker 3: two or three weeks ago. Tom and I had worked 246 00:17:34,613 --> 00:17:38,333 Speaker 3: together for about thirty years. Tom was probably one of 247 00:17:38,333 --> 00:17:43,253 Speaker 3: the brightest people I've come across. He was certainly the 248 00:17:43,333 --> 00:17:47,573 Speaker 3: finest gastroenturologist that I've worked with. He had an extraordinary 249 00:17:47,573 --> 00:17:51,933 Speaker 3: capacity to see outside the square. And I think it 250 00:17:52,013 --> 00:17:55,293 Speaker 3: really is not unlinked to what I was talking about 251 00:17:55,333 --> 00:17:58,613 Speaker 3: a few minutes ago, that what has happened in medicine 252 00:17:58,653 --> 00:18:03,373 Speaker 3: is that we've become constrained by bureaucracy to fit within 253 00:18:03,933 --> 00:18:08,133 Speaker 3: someone's perception of what the rules and regulations of treating 254 00:18:08,133 --> 00:18:12,613 Speaker 3: this condition or that condition is. Whereas Tom looked at 255 00:18:12,613 --> 00:18:15,533 Speaker 3: the patient, he looked at the problem and tried to 256 00:18:15,533 --> 00:18:19,453 Speaker 3: solve that problem, which usually meant that he was managing 257 00:18:19,453 --> 00:18:24,933 Speaker 3: the person outside of some strict guideline. And medicine's a 258 00:18:24,973 --> 00:18:28,493 Speaker 3: lot more than guidelines, and I think we've seen the 259 00:18:28,573 --> 00:18:32,493 Speaker 3: ultimate of guidelines on how bad they became in the 260 00:18:32,533 --> 00:18:37,693 Speaker 3: recent COVID experience. Well, I'd like to think we learned 261 00:18:37,693 --> 00:18:39,813 Speaker 3: from it, but both you and I know it's a 262 00:18:39,853 --> 00:18:40,973 Speaker 3: slow learning process. 263 00:18:41,253 --> 00:18:46,853 Speaker 4: But back to Tom. Tom. Tom was the sort of 264 00:18:46,893 --> 00:18:51,133 Speaker 4: person that is a one off. Not everyone liked Tom 265 00:18:51,213 --> 00:18:57,373 Speaker 4: because Tom was always openly honest. He would say what 266 00:18:57,693 --> 00:19:02,693 Speaker 4: he believed, which often would upset particularly people running the 267 00:19:02,813 --> 00:19:07,973 Speaker 4: standard line. His popularity was in fact greater outside of 268 00:19:07,973 --> 00:19:11,453 Speaker 4: austral than it was inside of Australia. You know, there 269 00:19:11,453 --> 00:19:13,653 Speaker 4: are many that believe he should have shared the Nobel 270 00:19:13,733 --> 00:19:18,093 Speaker 4: Prize because he was the guy that proved that the 271 00:19:18,133 --> 00:19:22,813 Speaker 4: Helicobacter caused peptic ulcers. Now many of your older listeners 272 00:19:23,813 --> 00:19:29,453 Speaker 4: or watchers would recognize that the scourge of medicine until 273 00:19:29,733 --> 00:19:33,693 Speaker 4: twenty five years ago was peptic ulcer disease. Twenty percent 274 00:19:33,733 --> 00:19:36,733 Speaker 4: of men would have a duodenal LSA. If you were 275 00:19:36,733 --> 00:19:40,453 Speaker 4: an interners I was many years ago. You knew that 276 00:19:40,533 --> 00:19:42,693 Speaker 4: when you went to sleep at night, you'd be waken 277 00:19:42,773 --> 00:19:45,293 Speaker 4: up with someone with a bleeding or perforated ulcer. 278 00:19:46,133 --> 00:19:46,493 Speaker 2: It was. 279 00:19:46,693 --> 00:19:52,013 Speaker 4: It dominated our working lives, and we used to think 280 00:19:52,533 --> 00:19:55,773 Speaker 4: it was always due to acid and enzymes digesting holes 281 00:19:55,773 --> 00:19:59,293 Speaker 4: in the stomach and the duodenum. And along came two 282 00:19:59,453 --> 00:20:04,413 Speaker 4: very smart guys in Perth who found these organisms, and 283 00:20:04,453 --> 00:20:08,813 Speaker 4: they found an association between the organisms and PETI losses, 284 00:20:09,253 --> 00:20:13,013 Speaker 4: but they couldn't prove they caused it. But the association 285 00:20:13,373 --> 00:20:16,853 Speaker 4: was strong enough and important enough for them to get 286 00:20:16,853 --> 00:20:21,013 Speaker 4: the Nobel Prize, which I totally concur with, so they should. 287 00:20:21,573 --> 00:20:25,293 Speaker 4: But it was Tom Barodi that sat down and started 288 00:20:25,493 --> 00:20:29,293 Speaker 4: mixing and matching different antibiotics, coming up with the famous 289 00:20:29,293 --> 00:20:34,973 Speaker 4: triple therapy that actually caused the permanent eradication in a 290 00:20:35,293 --> 00:20:39,693 Speaker 4: quantitative and qualitative way of the helicobacter. And it was 291 00:20:39,773 --> 00:20:42,613 Speaker 4: only by getting rid of the organism and showing that 292 00:20:42,653 --> 00:20:45,493 Speaker 4: the person's user didn't come back that you could prove 293 00:20:45,573 --> 00:20:48,453 Speaker 4: the cause. So that was Tom, and then he went 294 00:20:48,533 --> 00:20:55,373 Speaker 4: on to develop the modern approach to the so called 295 00:20:55,413 --> 00:20:59,133 Speaker 4: microbiome of the gut, which is the bacterial content of 296 00:20:59,173 --> 00:21:02,733 Speaker 4: which there is something like a trillion different bugs sitting 297 00:21:02,813 --> 00:21:06,173 Speaker 4: there and they have huge impact on both the disease 298 00:21:07,133 --> 00:21:11,773 Speaker 4: of the gut disease of the whole body. And Tom 299 00:21:11,893 --> 00:21:16,853 Speaker 4: was the one who first really put in play the 300 00:21:17,613 --> 00:21:21,853 Speaker 4: important role of the microbiome and its manipulation in management 301 00:21:21,853 --> 00:21:22,413 Speaker 4: of disease. 302 00:21:23,053 --> 00:21:24,933 Speaker 2: With transferring healthy. 303 00:21:26,373 --> 00:21:31,453 Speaker 4: Feces to unhealthy people, he used to call them pooh transplants, 304 00:21:31,453 --> 00:21:34,293 Speaker 4: which of course upset a lot of people the very term. 305 00:21:34,933 --> 00:21:35,693 Speaker 2: But that was Tom. 306 00:21:36,653 --> 00:21:41,093 Speaker 4: But I went to conference just three nights ago and 307 00:21:41,173 --> 00:21:44,693 Speaker 4: it was extraordinary. It was just totally on the intestinal 308 00:21:44,733 --> 00:21:49,493 Speaker 4: microbiome and pooh transplants. Because pretty much every hospital now 309 00:21:49,533 --> 00:21:54,053 Speaker 4: in Sydney. Every major hospital is doing them. It saves 310 00:21:54,053 --> 00:21:57,893 Speaker 4: the lives of people with seed to ficial disease, which 311 00:21:57,973 --> 00:22:02,053 Speaker 4: is very common, and changes the lives of many other people. 312 00:22:02,173 --> 00:22:05,013 Speaker 4: So that was Tom. And then he moved on to 313 00:22:05,093 --> 00:22:08,253 Speaker 4: Crohn's disease, which many of you would have heard of, 314 00:22:09,333 --> 00:22:13,133 Speaker 4: and he took what was around and went back. Rather 315 00:22:13,133 --> 00:22:17,533 Speaker 4: than saying, let's not control the inflammation, because that's not 316 00:22:17,813 --> 00:22:20,413 Speaker 4: really getting at the core. Inflammation is a response to 317 00:22:20,453 --> 00:22:23,533 Speaker 4: the cause, he went to the cause and started treating 318 00:22:24,053 --> 00:22:27,173 Speaker 4: the bacteria. Other people had done that, but Tom made 319 00:22:27,213 --> 00:22:30,533 Speaker 4: at work and came up with his triple therapy for crome. So, 320 00:22:30,933 --> 00:22:34,493 Speaker 4: you know, the contributions of one man to three major 321 00:22:34,573 --> 00:22:38,373 Speaker 4: issues in Guard health is just. 322 00:22:40,053 --> 00:22:42,533 Speaker 2: Unbelievably, unbelievably important. 323 00:22:42,893 --> 00:22:44,773 Speaker 3: Well, he wasn't what you'd call old either. 324 00:22:46,333 --> 00:22:50,853 Speaker 2: Well you know, he was mid seventies, bought. 325 00:22:50,613 --> 00:22:55,573 Speaker 3: In nineteen fifty. Yeah, And and he was very when 326 00:22:55,573 --> 00:22:58,613 Speaker 3: I interviewed him, he was very enthusiastic to try and 327 00:22:58,653 --> 00:23:01,453 Speaker 3: spread the word from his perspective, and I had a 328 00:23:01,453 --> 00:23:04,133 Speaker 3: great deal of a great deal of respect for it 329 00:23:04,213 --> 00:23:10,173 Speaker 3: because I did a bit of background study. I liked 330 00:23:10,213 --> 00:23:12,573 Speaker 3: what he had to say, and I followed up on it, 331 00:23:12,733 --> 00:23:16,973 Speaker 3: and it was and it was leading me in only 332 00:23:16,973 --> 00:23:20,453 Speaker 3: one direction. But he said, is there anything you can do? 333 00:23:20,733 --> 00:23:20,813 Speaker 2: Well? 334 00:23:20,853 --> 00:23:23,013 Speaker 3: He basically asked me if there was anybody I could 335 00:23:23,093 --> 00:23:24,933 Speaker 3: put him in touch with in New Zealand, you know 336 00:23:24,973 --> 00:23:28,733 Speaker 3: where he could be of assistance. And I made an 337 00:23:28,813 --> 00:23:32,573 Speaker 3: inquiry or two and I was told I don't bother. 338 00:23:33,253 --> 00:23:37,133 Speaker 3: They weren't interested, they didn't want to know. That'd be right, 339 00:23:37,293 --> 00:23:39,653 Speaker 3: and the same. Of course, he got treated the same 340 00:23:39,733 --> 00:23:45,613 Speaker 3: in Australia. Now, can you explain to us these things 341 00:23:45,613 --> 00:23:49,893 Speaker 3: have been discussed generally over the last four or five years, 342 00:23:50,133 --> 00:23:52,573 Speaker 3: but we've not heard from you before, and I think 343 00:23:52,893 --> 00:23:56,373 Speaker 3: we've reached a pinnacle. So I want your opinion on 344 00:23:56,413 --> 00:23:58,893 Speaker 3: such things. How did it? How did it get to 345 00:23:58,933 --> 00:24:05,213 Speaker 3: that point where somebody is qualified as Thomas Morodi, as 346 00:24:05,253 --> 00:24:09,373 Speaker 3: you and others, but you, you think of the leading too, 347 00:24:10,733 --> 00:24:12,573 Speaker 3: were treated as outcast. 348 00:24:13,053 --> 00:24:17,373 Speaker 4: Yeah, no one's actually asked me that question before, so 349 00:24:17,493 --> 00:24:19,813 Speaker 4: let me try to give you an answer. First of all, 350 00:24:19,813 --> 00:24:23,933 Speaker 4: Tom and I are very different people. I always used 351 00:24:23,933 --> 00:24:26,613 Speaker 4: to see my Tom and I were good friends. And 352 00:24:27,213 --> 00:24:29,613 Speaker 4: I work and I still work. I do a clinic 353 00:24:30,333 --> 00:24:34,893 Speaker 4: in the center of digestive diseases. Although my early training 354 00:24:34,973 --> 00:24:38,333 Speaker 4: was in gastonurology, I've now moved away from that and 355 00:24:38,733 --> 00:24:42,213 Speaker 4: I just do clinically monology, and even there now I'm 356 00:24:42,253 --> 00:24:45,613 Speaker 4: trying to set up just a clinic for post COVID 357 00:24:45,653 --> 00:24:46,653 Speaker 4: vaccine damage. 358 00:24:46,733 --> 00:24:50,293 Speaker 3: And that where you just mentioned was his operation, am 359 00:24:50,333 --> 00:24:50,693 Speaker 3: I right? 360 00:24:51,133 --> 00:24:51,813 Speaker 2: Yeah, that's true. 361 00:24:51,973 --> 00:24:56,613 Speaker 4: Tom began the Center of digestive Diseases in Sydney a 362 00:24:56,613 --> 00:24:59,693 Speaker 4: lot back in about nineteen eighty, maybe a bit earlier. 363 00:25:00,333 --> 00:25:05,853 Speaker 4: And so first Tom and I are very different. I 364 00:25:05,933 --> 00:25:10,213 Speaker 4: don't see myself as an outcast. I have a good 365 00:25:10,213 --> 00:25:14,453 Speaker 4: relationship I think with pretty much all my colleagues, certainly 366 00:25:14,453 --> 00:25:17,893 Speaker 4: most of them. They don't agree with me, but they 367 00:25:17,893 --> 00:25:20,053 Speaker 4: won't argue with me. And I think this is the 368 00:25:20,173 --> 00:25:24,773 Speaker 4: interesting thing, that there's a thing called cognitive dissonance, or 369 00:25:24,933 --> 00:25:29,333 Speaker 4: some people might call it brainwashing, that I never understood 370 00:25:29,373 --> 00:25:35,333 Speaker 4: how powerful this was and how interested parties can coordinate 371 00:25:36,133 --> 00:25:40,693 Speaker 4: such an event. I can talk to friends of mine 372 00:25:40,733 --> 00:25:45,133 Speaker 4: who are family practitioners, and until recently, none of them 373 00:25:45,213 --> 00:25:48,173 Speaker 4: would want to even talk about the fact that maybe 374 00:25:48,213 --> 00:25:52,853 Speaker 4: we made mistakes in the COVID era. In fact, I 375 00:25:52,893 --> 00:25:55,333 Speaker 4: was talking to my own family practitioner and I gave 376 00:25:55,373 --> 00:25:58,533 Speaker 4: her a copy of a book where and I mean 377 00:25:58,893 --> 00:26:01,773 Speaker 4: it's changing, but ever so slowly, but there is still 378 00:26:01,813 --> 00:26:07,653 Speaker 4: this resistance. So Tom, I think, was a little more 379 00:26:07,693 --> 00:26:10,293 Speaker 4: of an outcar probably than I am, for a lot 380 00:26:10,293 --> 00:26:14,413 Speaker 4: of reasons. One is that I've always One is I 381 00:26:14,413 --> 00:26:21,413 Speaker 4: haven't tried to take on the establishment outside of using 382 00:26:21,853 --> 00:26:26,853 Speaker 4: an argument of science and evidence. I haven't tried to 383 00:26:26,893 --> 00:26:30,853 Speaker 4: take on the person. I haven't got involved in legal cases. 384 00:26:31,933 --> 00:26:35,573 Speaker 4: There are things that Tom actually got involved in quite 385 00:26:35,613 --> 00:26:38,533 Speaker 4: that nothing that was wrong. It's just that it created 386 00:26:39,613 --> 00:26:42,613 Speaker 4: some degree of difference between him and some of his colleagues. 387 00:26:43,213 --> 00:26:46,173 Speaker 4: I used to call myself Tom's minder, because I'd say, Tom, 388 00:26:46,253 --> 00:26:46,893 Speaker 4: don't do this. 389 00:26:46,893 --> 00:26:47,533 Speaker 2: Don't do that. 390 00:26:47,653 --> 00:26:50,373 Speaker 4: You can't do this if you want to achieve an outcome. 391 00:26:50,733 --> 00:26:56,813 Speaker 4: So it's very complicated. Maybe I'm more of an outcast 392 00:26:57,093 --> 00:26:58,733 Speaker 4: than I thought. I think I am. I don't think 393 00:26:58,773 --> 00:27:03,893 Speaker 4: I am. But certainly my view is not one that's 394 00:27:04,293 --> 00:27:05,093 Speaker 4: widely shared. 395 00:27:05,693 --> 00:27:07,653 Speaker 3: I would have thought by now there would have been 396 00:27:09,013 --> 00:27:11,293 Speaker 3: a growing number of sharers. 397 00:27:11,693 --> 00:27:15,213 Speaker 4: I think there are, and in fact, a group called 398 00:27:15,253 --> 00:27:18,013 Speaker 4: AMPS has started. I think it's in Australia. Well, certainly 399 00:27:18,053 --> 00:27:21,413 Speaker 4: in Australia. I don't belong to it. But I have 400 00:27:21,493 --> 00:27:25,013 Speaker 4: many friends that are involved that have formed as a 401 00:27:25,053 --> 00:27:29,333 Speaker 4: result of COVID, involving many many health professionals, many many doctors. 402 00:27:31,053 --> 00:27:34,493 Speaker 4: There are a great number of medical people and health 403 00:27:34,533 --> 00:27:40,133 Speaker 4: professionals that share the view that we didn't get things right. 404 00:27:40,453 --> 00:27:42,893 Speaker 4: I mean, let me give you one quick example. When 405 00:27:43,533 --> 00:27:47,053 Speaker 4: COVID hit us, we had a plan. Now, this is 406 00:27:47,093 --> 00:27:50,213 Speaker 4: a plan that in Australia and New Zealand evolved over 407 00:27:50,293 --> 00:27:53,733 Speaker 4: eighty ninety one hundred years as a result of us 408 00:27:53,853 --> 00:27:58,133 Speaker 4: independently assessing the problem using the experience. 409 00:27:58,613 --> 00:28:00,893 Speaker 3: Can I just interrupt there just for a second, don't 410 00:28:00,893 --> 00:28:05,333 Speaker 3: lose your place. But was that not virtually a worldwide plan? 411 00:28:06,613 --> 00:28:10,973 Speaker 4: No, it was an Australian plan we had, and well 412 00:28:10,973 --> 00:28:14,333 Speaker 4: I would have had a plan which was very similar, 413 00:28:15,893 --> 00:28:20,293 Speaker 4: but we developed our own plan. I was part of 414 00:28:20,333 --> 00:28:24,133 Speaker 4: the discussions and involvement, and it was a very good plan. 415 00:28:25,333 --> 00:28:28,933 Speaker 4: In fact, it was a plan not unlike the Great 416 00:28:28,973 --> 00:28:34,293 Speaker 4: Barrington Decoration which came later from three leaders in UK 417 00:28:34,453 --> 00:28:39,813 Speaker 4: and the United States. But the plan suddenly disappeared and 418 00:28:39,933 --> 00:28:44,333 Speaker 4: was replaced by a narrative, and the narrative was built 419 00:28:44,373 --> 00:28:47,973 Speaker 4: around protecting an experimental genetic vaccine that for all intents 420 00:28:48,013 --> 00:28:52,213 Speaker 4: and purposes, had never been given demand, ended up being 421 00:28:52,253 --> 00:28:56,453 Speaker 4: given to more than half the world's population, and has 422 00:28:56,573 --> 00:28:59,053 Speaker 4: never ever been shown to be as good as all 423 00:28:59,093 --> 00:29:02,853 Speaker 4: better than a good old, ground up vaccine that we've 424 00:29:02,893 --> 00:29:09,773 Speaker 4: been dealing with for eighty ninety years for influenza, and 425 00:29:09,813 --> 00:29:13,573 Speaker 4: then to protect that experimental vaccine, and this is my 426 00:29:13,773 --> 00:29:17,973 Speaker 4: main point. Part of the plan was that you screen 427 00:29:18,213 --> 00:29:21,493 Speaker 4: what medications you'll have that just might be helpful against 428 00:29:21,493 --> 00:29:27,333 Speaker 4: the pathogen causing the pandemic, in this case, the COVID virus, 429 00:29:28,133 --> 00:29:31,933 Speaker 4: and you give that to as many people as you can, 430 00:29:32,413 --> 00:29:34,893 Speaker 4: even though it may only be of marginal benefit. It 431 00:29:34,933 --> 00:29:38,653 Speaker 4: was better than nothing. Well, all of a sudden, my profession, 432 00:29:38,733 --> 00:29:44,733 Speaker 4: and as a result of instructions from bureaucrats and politicians 433 00:29:45,613 --> 00:29:49,493 Speaker 4: and a few rather really informed so called medical people 434 00:29:49,493 --> 00:29:52,453 Speaker 4: that appeared on television on a regular basis, we were 435 00:29:52,493 --> 00:29:55,253 Speaker 4: told you can't possibly you know, it's horse medice and 436 00:29:55,333 --> 00:29:58,293 Speaker 4: it's terrible stuff. And what I was looking at the 437 00:29:58,413 --> 00:30:02,333 Speaker 4: data saying, this is ridiculous. This is a saving lot. 438 00:30:02,413 --> 00:30:05,053 Speaker 4: We could have saved so many lives in Australia and 439 00:30:05,093 --> 00:30:09,133 Speaker 4: New Zealand. It's as simple as that. And of course 440 00:30:09,333 --> 00:30:12,613 Speaker 4: the evidence, now, there was always evidence they worked, there 441 00:30:12,613 --> 00:30:15,613 Speaker 4: was always evidence they were safe, there was always evidence 442 00:30:15,653 --> 00:30:17,173 Speaker 4: they were very cheap and. 443 00:30:17,293 --> 00:30:20,133 Speaker 2: Available, but we couldn't use it. 444 00:30:20,253 --> 00:30:25,613 Speaker 4: They even brought in Queensland in Australia. In Queensland they 445 00:30:25,653 --> 00:30:29,013 Speaker 4: brought in a rule that if a doctor prescribed hyproxy coriquin, 446 00:30:29,693 --> 00:30:32,653 Speaker 4: a drug which every doctor has been prescribing for sixty 447 00:30:32,693 --> 00:30:37,533 Speaker 4: seventy eighty years a lack with no issue, then they 448 00:30:37,613 --> 00:30:41,853 Speaker 4: potentially could be jailed. I mean, that's how bad it got. 449 00:30:42,213 --> 00:30:45,613 Speaker 4: That woke me up. Now, the point I'm now going 450 00:30:45,653 --> 00:30:48,973 Speaker 4: to make is that very good evidence for all of 451 00:30:49,013 --> 00:30:52,693 Speaker 4: these things is suddenly starting to appear, evidence that was 452 00:30:52,693 --> 00:30:55,893 Speaker 4: obtained four or five years ago, but it's been held 453 00:30:56,013 --> 00:31:00,453 Speaker 4: up by including the people who did the work and 454 00:31:00,533 --> 00:31:04,053 Speaker 4: certainly the journals. They wouldn't publish anything that said they 455 00:31:04,053 --> 00:31:09,333 Speaker 4: were any good. But now it's over. Plastic papers are 456 00:31:09,333 --> 00:31:13,213 Speaker 4: appearing for say, hydroxy chlorum with five thousand people showing 457 00:31:13,293 --> 00:31:18,333 Speaker 4: highly effective preventative effects after the event. 458 00:31:18,893 --> 00:31:22,613 Speaker 3: And it wasn't just hydroxychloroquine either, No, it wasn't. 459 00:31:22,653 --> 00:31:27,973 Speaker 4: There was ivermectin followed the hydroxychloricon, which is clearly the 460 00:31:27,973 --> 00:31:31,853 Speaker 4: best drug for treating COVID still is. Isn't it interesting 461 00:31:31,893 --> 00:31:36,413 Speaker 4: that the two industry drugs which came under the table, 462 00:31:37,613 --> 00:31:40,653 Speaker 4: which have got no effect at all, It's quite clearly 463 00:31:40,693 --> 00:31:44,693 Speaker 4: demonstrated in randomized controlled trials, still used at one thousand 464 00:31:44,693 --> 00:31:49,613 Speaker 4: dollars a pop by most of the family practitioners, and 465 00:31:49,653 --> 00:31:52,933 Speaker 4: that went straight through the registration process. I mean that 466 00:31:53,053 --> 00:31:54,773 Speaker 4: is criminal. Criminal. 467 00:31:55,453 --> 00:31:58,973 Speaker 3: Was there, shall we say, was there such a thing 468 00:31:59,053 --> 00:32:03,253 Speaker 3: as what we might call the tower of power that 469 00:32:03,573 --> 00:32:12,253 Speaker 3: was introduced very rapidly into the into the scene. And 470 00:32:12,293 --> 00:32:16,973 Speaker 3: by that, I'm talking about money, and I'm talking about influence, 471 00:32:17,093 --> 00:32:20,253 Speaker 3: and I'm talking about the ability of people to make 472 00:32:21,453 --> 00:32:25,933 Speaker 3: huge sacrifices if they pursued the course that you're discussing. 473 00:32:26,373 --> 00:32:29,613 Speaker 3: But it was it driven from the top on a 474 00:32:29,613 --> 00:32:31,773 Speaker 3: global on a global stage. 475 00:32:32,173 --> 00:32:32,893 Speaker 2: Well you know the. 476 00:32:32,853 --> 00:32:34,973 Speaker 4: Answer to that, and the answer is, of course it was. 477 00:32:35,853 --> 00:32:39,773 Speaker 4: I think what happened in Australia and New Zealand, as 478 00:32:39,773 --> 00:32:42,293 Speaker 4: far as I can see, is that for the very 479 00:32:42,333 --> 00:32:46,373 Speaker 4: first time we lost control of our medical decision making. 480 00:32:47,013 --> 00:32:49,973 Speaker 4: If you look back in history, New Zealand and Australia 481 00:32:50,973 --> 00:32:55,733 Speaker 4: top class medical countries. We do things very very well. 482 00:32:55,773 --> 00:32:59,813 Speaker 4: We have extremely good people. We make our own decisions, 483 00:32:59,893 --> 00:33:03,653 Speaker 4: we use the best information we can get. But on 484 00:33:03,653 --> 00:33:07,853 Speaker 4: this occasion we had a narrative imposed upon us, and 485 00:33:07,893 --> 00:33:11,893 Speaker 4: it came percolated down through big industry. I mean, you're 486 00:33:11,893 --> 00:33:14,693 Speaker 4: aware that Pfizer, for example, would make a million dollars 487 00:33:14,893 --> 00:33:18,653 Speaker 4: a billion dollars profit in a year from its vaccines 488 00:33:18,973 --> 00:33:26,053 Speaker 4: and a little less from its anti viral treatments. Money 489 00:33:26,093 --> 00:33:30,733 Speaker 4: that's unbelievably large. And what they did is they're in 490 00:33:30,773 --> 00:33:33,133 Speaker 4: my country and I'm not sure if in New Zealand, 491 00:33:33,173 --> 00:33:39,413 Speaker 4: but certainly here they've essentially bought the academic organizations. I'll 492 00:33:39,413 --> 00:33:41,893 Speaker 4: give you one example. Iver metnan, the drug you were 493 00:33:41,893 --> 00:33:45,573 Speaker 4: took about, was first This is an interesting story that 494 00:33:45,613 --> 00:33:49,053 Speaker 4: you may not have heard. Ivermectin was first shown to 495 00:33:49,093 --> 00:33:52,813 Speaker 4: be effective at killing the COVID organism by very good 496 00:33:52,853 --> 00:33:56,893 Speaker 4: scientists at Monash University. And she published this data very 497 00:33:56,893 --> 00:34:02,533 Speaker 4: early in nineteen nineteen twenty, and it became well known 498 00:34:02,613 --> 00:34:06,693 Speaker 4: a few months later she was shut down by the university. 499 00:34:07,253 --> 00:34:11,693 Speaker 4: Unfortunately university because I got a PhD from Monash University, but. 500 00:34:14,493 --> 00:34:15,493 Speaker 2: She was shut down. 501 00:34:16,253 --> 00:34:19,093 Speaker 4: What I didn't realize is that she'd gone ahead and 502 00:34:19,133 --> 00:34:22,973 Speaker 4: done a little study on giving iver met and the 503 00:34:23,013 --> 00:34:30,973 Speaker 4: people exposed to to COVID way back then. And surprisingly 504 00:34:31,413 --> 00:34:34,453 Speaker 4: it was just published about three or four weeks ago, 505 00:34:34,493 --> 00:34:39,613 Speaker 4: a month ago. She can now publish it, you see. 506 00:34:39,893 --> 00:34:44,533 Speaker 4: But weeks after she was shut down, Monash University signed 507 00:34:44,533 --> 00:34:48,453 Speaker 4: an agreement with Madina Madonna, one of the two big 508 00:34:48,453 --> 00:34:52,293 Speaker 4: companies making the vaccines for I think it was something 509 00:34:52,373 --> 00:34:54,933 Speaker 4: like three hundred million dollars, huge amount. 510 00:34:54,733 --> 00:34:56,893 Speaker 3: And that must have been in play at the time 511 00:34:56,933 --> 00:34:58,573 Speaker 3: that she was releasing. 512 00:34:58,613 --> 00:35:02,093 Speaker 4: It was, of course it was. Of course it was. Now, 513 00:35:02,333 --> 00:35:06,133 Speaker 4: let let me expand on that even a little further. 514 00:35:07,173 --> 00:35:09,373 Speaker 4: There was a huge play a couple of months ago 515 00:35:10,893 --> 00:35:16,773 Speaker 4: when the premiere of Victoria, who's a rather controversial figure 516 00:35:16,813 --> 00:35:23,773 Speaker 4: at the moment, she opened the new manufacturing exercise at 517 00:35:23,853 --> 00:35:26,653 Speaker 4: Monash to make Messenger and A with the purpose of 518 00:35:26,733 --> 00:35:33,213 Speaker 4: replacing our existing vaccines. It's hard to believe this is 519 00:35:33,253 --> 00:35:36,213 Speaker 4: actually happening. And she got up and she said something 520 00:35:36,213 --> 00:35:40,133 Speaker 4: which was rather stupid. She said, every mother is going 521 00:35:40,173 --> 00:35:43,333 Speaker 4: to be so they're going to learn the word respiratual 522 00:35:43,413 --> 00:35:48,613 Speaker 4: since city or virus disease, because right we're about to 523 00:35:48,653 --> 00:35:52,253 Speaker 4: bring out this fantastic vaccine that's going to save the 524 00:35:52,333 --> 00:35:57,333 Speaker 4: children and it's going to change their lives. About four 525 00:35:57,413 --> 00:36:00,813 Speaker 4: or five days after that, there was a tiny little 526 00:36:00,893 --> 00:36:06,773 Speaker 4: notice that Maderna brought out in an obscure publication somewhere 527 00:36:06,813 --> 00:36:10,973 Speaker 4: that very few people saw. They're put on hold their 528 00:36:11,213 --> 00:36:17,333 Speaker 4: trial in children for the RSV virus because eighteen percent 529 00:36:17,413 --> 00:36:20,973 Speaker 4: of the kids were in hospital with serious life threatening 530 00:36:21,093 --> 00:36:24,413 Speaker 4: RSV disease eighteen percent of those vaccinated with the Messenger 531 00:36:24,493 --> 00:36:28,053 Speaker 4: RNA vaccine. Now, that is not surprising, that is predictable 532 00:36:28,893 --> 00:36:30,253 Speaker 4: and that is what we're facing. 533 00:36:30,853 --> 00:36:33,413 Speaker 3: So is it is it really on hold or do 534 00:36:33,453 --> 00:36:34,133 Speaker 3: you think it's dead? 535 00:36:35,013 --> 00:36:37,173 Speaker 2: Oh, it's not dead. No, The only thing it's dead 536 00:36:37,213 --> 00:36:38,573 Speaker 2: is some of the kids who are going to get it. 537 00:36:39,733 --> 00:36:43,933 Speaker 3: What was the advantage to Maderna to doing that in Victoria. 538 00:36:44,573 --> 00:36:47,013 Speaker 4: Well, that's a good point, you'd have to ask them. 539 00:36:47,213 --> 00:36:50,733 Speaker 4: They seem to have taken over the Australian institutions because 540 00:36:50,733 --> 00:36:54,293 Speaker 4: it's not just Monash is a key one, but certainly 541 00:36:54,373 --> 00:36:58,653 Speaker 4: there are structures being built in Sydney at mcquarie University 542 00:36:59,773 --> 00:37:05,173 Speaker 4: for the production of Messenger RNA vaccines. Nearly all the 543 00:37:05,253 --> 00:37:09,013 Speaker 4: universities in New South Wales are tied into a system 544 00:37:09,173 --> 00:37:13,533 Speaker 4: of profit that will benefit from these activities. I suspect 545 00:37:13,533 --> 00:37:18,773 Speaker 4: the same occurs in Victoria, and a very good in 546 00:37:18,813 --> 00:37:23,893 Speaker 4: the book that we're published, which is COVID through Our Eyes, 547 00:37:25,013 --> 00:37:31,293 Speaker 4: a very good individual who's been working in press for many, 548 00:37:31,333 --> 00:37:34,853 Speaker 4: many years did follow the money in Australia and identified 549 00:37:35,093 --> 00:37:40,453 Speaker 4: how it is all linked up with the Messenger RNA story. 550 00:37:41,053 --> 00:37:43,813 Speaker 3: So out of that book on page forty six, subhead 551 00:37:44,213 --> 00:37:48,253 Speaker 3: do mRNA vaccines protect against COVID nineteen infection? 552 00:37:48,653 --> 00:37:52,093 Speaker 4: Yes they do, Yes they do, But there's a writer 553 00:37:52,213 --> 00:37:57,373 Speaker 4: to that any vaccine they don't do it any better. Well, 554 00:37:57,453 --> 00:38:00,013 Speaker 4: put it this way, no one has ever shown that 555 00:38:00,093 --> 00:38:04,013 Speaker 4: we needed to go anywhere else other than the traditional 556 00:38:04,093 --> 00:38:09,733 Speaker 4: route for making the vaccine for cod it. There is 557 00:38:09,773 --> 00:38:13,853 Speaker 4: not even the argument that was so much quicker is 558 00:38:13,933 --> 00:38:18,373 Speaker 4: invalid because by the time the Messenger RNA were on 559 00:38:18,413 --> 00:38:21,013 Speaker 4: the market with all the money behind them, a month 560 00:38:21,093 --> 00:38:25,613 Speaker 4: or two behind it, the Chinese and Australian vaccine producers 561 00:38:25,693 --> 00:38:29,773 Speaker 4: using traditional methodology for an antigen vaccine were also on 562 00:38:29,813 --> 00:38:35,373 Speaker 4: the market, and the Australian vaccine production was completely shut 563 00:38:35,453 --> 00:38:40,053 Speaker 4: down here in New Zealand and became the standard vaccine 564 00:38:40,173 --> 00:38:45,093 Speaker 4: for countries like Iran. They were smart enough to realize 565 00:38:45,293 --> 00:38:49,573 Speaker 4: that it was. And they're not seeing long COVID, you know, 566 00:38:49,613 --> 00:38:52,853 Speaker 4: the type of long COVID we see after vaccination, and 567 00:38:52,893 --> 00:38:57,733 Speaker 4: they're not seeing the increase in mortalities that we're seeing 568 00:38:57,733 --> 00:39:00,293 Speaker 4: with the Messenger RNA, for very good reasons. 569 00:39:00,573 --> 00:39:02,573 Speaker 3: Does mRNA have a future? 570 00:39:02,773 --> 00:39:05,853 Speaker 4: Well, you mean, do I think it should have a 571 00:39:05,933 --> 00:39:07,133 Speaker 4: future or do I think. 572 00:39:07,013 --> 00:39:07,973 Speaker 2: It will have a future. 573 00:39:07,973 --> 00:39:08,853 Speaker 3: We go both. 574 00:39:09,773 --> 00:39:11,613 Speaker 2: Okay, I think it will have a future. 575 00:39:12,013 --> 00:39:15,013 Speaker 4: And look, I'm not against Messenger RNA having a future 576 00:39:15,053 --> 00:39:18,693 Speaker 4: provided the problems they have, which are extensive, are sort 577 00:39:18,733 --> 00:39:23,373 Speaker 4: of out. I don't think the Messager RNA is needed 578 00:39:23,493 --> 00:39:27,453 Speaker 4: for vaccine production. I think there a bigger case can 579 00:39:27,493 --> 00:39:33,373 Speaker 4: be made for individualized tuba tumor production, although there are 580 00:39:33,413 --> 00:39:39,213 Speaker 4: many other alternate ways of approaching tumor immune suppression these days. 581 00:39:40,293 --> 00:39:42,933 Speaker 2: But what's going to determine it is not you and me. 582 00:39:43,173 --> 00:39:49,653 Speaker 4: It's going to be money and political power and at possibly, 583 00:39:50,253 --> 00:39:53,093 Speaker 4: as we look at the moment, hue great human cost. 584 00:39:53,333 --> 00:39:55,173 Speaker 3: So I'm looking at a I'm looking at a headline 585 00:39:55,173 --> 00:39:59,053 Speaker 3: on the front of a magazine vaccines, fear and collapsing 586 00:39:59,133 --> 00:40:02,533 Speaker 3: immunity by your good self? Can you explain what that, 587 00:40:03,013 --> 00:40:05,613 Speaker 3: what that means, what it's about. So I'm looking at 588 00:40:05,653 --> 00:40:10,453 Speaker 3: a headline that says vaccin scenes ain't vaccines the consequences 589 00:40:10,493 --> 00:40:13,813 Speaker 3: of the mRNA disaster. What have you written there? 590 00:40:14,493 --> 00:40:15,733 Speaker 2: Okay? What I wrote there? 591 00:40:15,773 --> 00:40:20,293 Speaker 4: That particular article was written by me fairly recently for 592 00:40:20,373 --> 00:40:24,373 Speaker 4: two reasons. Well, the main reason was that I am 593 00:40:24,413 --> 00:40:29,933 Speaker 4: not an anti vaxxo. I'm very supportive of vaccines that 594 00:40:30,813 --> 00:40:35,013 Speaker 4: are valuable, and I wrote the article to point out 595 00:40:35,053 --> 00:40:38,933 Speaker 4: that we mustn't throw the baby out with the bathwater, 596 00:40:39,093 --> 00:40:42,373 Speaker 4: because that's what some people are starting to do. I 597 00:40:42,373 --> 00:40:45,493 Speaker 4: think the anti vaxxes are hopping on to a valid 598 00:40:45,493 --> 00:40:49,813 Speaker 4: issue with the COVID messenger RNA vaccines and extrapolating that 599 00:40:49,973 --> 00:40:55,173 Speaker 4: in two measles, mumps, you name it, when in fact, 600 00:40:55,973 --> 00:40:58,653 Speaker 4: that is not a very good thing to do. So 601 00:40:58,733 --> 00:41:05,853 Speaker 4: I wrote that largely to point out that we have 602 00:41:05,933 --> 00:41:10,533 Speaker 4: to be very careful about not throwing out all the 603 00:41:10,653 --> 00:41:15,053 Speaker 4: vaccines with just a messenger r and a methodology. The 604 00:41:15,093 --> 00:41:18,933 Speaker 4: second thing I put in that article was I summarized 605 00:41:19,533 --> 00:41:23,213 Speaker 4: the problems with the a very up to date summary 606 00:41:23,573 --> 00:41:27,173 Speaker 4: and the main aspect that you were referring to was 607 00:41:27,213 --> 00:41:34,693 Speaker 4: that if you look at vaccination against airway infections, you 608 00:41:35,533 --> 00:41:41,853 Speaker 4: are moving, you're vaccinating, injecting the vaccine into the body whole, 609 00:41:42,573 --> 00:41:46,333 Speaker 4: whereas you're trying to protect against a virus that's not 610 00:41:46,373 --> 00:41:49,413 Speaker 4: coming into the body whole. It's coming into the airways, 611 00:41:49,733 --> 00:41:55,933 Speaker 4: which has its own segregated so called mucosal immune system. 612 00:41:56,453 --> 00:42:00,813 Speaker 4: So the injected vaccine will never prevent you getting infected 613 00:42:01,133 --> 00:42:05,013 Speaker 4: or passing that infection onto somebody else. And that, of 614 00:42:05,053 --> 00:42:08,973 Speaker 4: course was completely misunderstood at the big beginning of the 615 00:42:09,733 --> 00:42:17,173 Speaker 4: COVID pandemic, and they were basically saying, we must be vaccinated, 616 00:42:17,773 --> 00:42:20,733 Speaker 4: we must have mandates so that we can stop the 617 00:42:20,813 --> 00:42:26,013 Speaker 4: passing on of covid, and any benefit it has there 618 00:42:26,173 --> 00:42:31,613 Speaker 4: is so marginal it's not worth considering. What the vaccine 619 00:42:31,653 --> 00:42:36,773 Speaker 4: does is that it prevents or contributes the prevention of 620 00:42:37,093 --> 00:42:42,053 Speaker 4: that virus escaping from the mucosal compartment into the body whole, 621 00:42:42,733 --> 00:42:45,613 Speaker 4: which is going to cause more severe disease and death. 622 00:42:46,373 --> 00:42:50,653 Speaker 4: And it does that fairly efficiently until the elephant in 623 00:42:50,693 --> 00:42:55,333 Speaker 4: the room, which is reactive suppression, chimes in. Of course, 624 00:42:55,373 --> 00:42:59,973 Speaker 4: if you think about it, the role of mucosal imminology 625 00:43:00,133 --> 00:43:04,973 Speaker 4: is to control a number of bacteria that are lining 626 00:43:05,053 --> 00:43:09,053 Speaker 4: up and contaminating the airway and the gut. It's full bacteria, 627 00:43:09,533 --> 00:43:13,013 Speaker 4: whereas inside the body, one bacteria is enough to cause 628 00:43:13,013 --> 00:43:16,693 Speaker 4: septoicemia and kill you. And so you have a different 629 00:43:16,853 --> 00:43:22,493 Speaker 4: role for the injected type of immunization, which is sterilizing immunity, 630 00:43:22,973 --> 00:43:27,453 Speaker 4: to mucosal immunity, which is about control. And to get 631 00:43:27,533 --> 00:43:32,893 Speaker 4: control you have to have a two way mechanism involving suppression, 632 00:43:33,253 --> 00:43:37,173 Speaker 4: so it doesn't otherwise if you have the systemic immune 633 00:43:37,213 --> 00:43:41,773 Speaker 4: system going for sterilizing immunity, when you're breathing in millions 634 00:43:41,773 --> 00:43:44,653 Speaker 4: of bacteria every minute, then you're going to blow up 635 00:43:44,693 --> 00:43:46,853 Speaker 4: like a hand grenade coming in. So you must have 636 00:43:46,893 --> 00:43:53,733 Speaker 4: a suppression mechanism. Now, this suppressor mechanism is becomes dominant 637 00:43:53,733 --> 00:43:56,773 Speaker 4: the more you stimulate somebody. And so what we were 638 00:43:56,813 --> 00:44:03,573 Speaker 4: doing with very unplanned booster vaccinations was pouring in stimulation 639 00:44:03,813 --> 00:44:07,533 Speaker 4: together with people being exposed to the COVID virus, and 640 00:44:07,613 --> 00:44:13,293 Speaker 4: so the tilt went to favor suppression rather than protection. 641 00:44:14,293 --> 00:44:16,573 Speaker 4: And so if you look at the big studies done 642 00:44:16,613 --> 00:44:19,293 Speaker 4: for example in Quebec in Canada, which is probably the best. 643 00:44:20,533 --> 00:44:23,493 Speaker 4: Instead of having eighty percent protection against going into a 644 00:44:23,493 --> 00:44:26,613 Speaker 4: hospital in older people, which we did get for a 645 00:44:26,653 --> 00:44:30,613 Speaker 4: few months in twenty twenty one, it's now down to 646 00:44:30,733 --> 00:44:34,413 Speaker 4: fifty percent and it last two months. For the rest 647 00:44:34,453 --> 00:44:37,373 Speaker 4: of the rest of the vaccine cycle, as new variants 648 00:44:37,413 --> 00:44:41,413 Speaker 4: come in, you get zero or little or negative suppression. 649 00:44:42,013 --> 00:44:46,533 Speaker 4: And I should have I wished I had prepared a 650 00:44:46,533 --> 00:44:50,093 Speaker 4: bit better and sent you the graph that was in 651 00:44:50,133 --> 00:44:54,373 Speaker 4: this particular paper from Quebec. It's so illustrative showing that 652 00:44:54,413 --> 00:44:59,333 Speaker 4: for eighty percent of the vaccine cycle you're getting essentially little, 653 00:44:59,493 --> 00:45:04,133 Speaker 4: no or negative protection. Negative protection means that you get 654 00:45:04,493 --> 00:45:09,533 Speaker 4: more infections, more hospitalizations than you would go from the 655 00:45:09,613 --> 00:45:12,853 Speaker 4: people who were in the non vaccinated control group. And 656 00:45:12,893 --> 00:45:15,893 Speaker 4: that's what I was talking about, that we're getting what 657 00:45:15,933 --> 00:45:16,613 Speaker 4: we don't want. 658 00:45:17,333 --> 00:45:19,613 Speaker 3: I'm sure that I saw that that graph. 659 00:45:20,053 --> 00:45:21,413 Speaker 2: And it wasn't and it wasn't. 660 00:45:22,293 --> 00:45:25,213 Speaker 4: It's not in that it's not in that quadrant. It's 661 00:45:25,253 --> 00:45:28,133 Speaker 4: in the article which they put on on the on 662 00:45:28,173 --> 00:45:28,573 Speaker 4: the web. 663 00:45:29,053 --> 00:45:31,813 Speaker 3: That's where I saw it. Yeah, And when I printed it, 664 00:45:32,493 --> 00:45:34,773 Speaker 3: I always go print friendly, so I knock them out 665 00:45:34,813 --> 00:45:38,613 Speaker 3: because I've only got I've got to got black print anyway. 666 00:45:40,773 --> 00:45:42,493 Speaker 2: But you know that you know the graph I'm talking 667 00:45:42,533 --> 00:45:42,813 Speaker 2: about it? 668 00:45:42,893 --> 00:45:43,653 Speaker 3: Yes, yes, I do. 669 00:45:44,213 --> 00:45:45,573 Speaker 2: It's very scary, isn't it. 670 00:45:45,933 --> 00:45:48,853 Speaker 3: There's a lot that's scary. But in answer to your 671 00:45:48,893 --> 00:45:51,173 Speaker 3: question directly, absolutely. 672 00:45:51,333 --> 00:45:51,533 Speaker 2: You know. 673 00:45:51,813 --> 00:45:55,693 Speaker 4: I contacted Sarah Carrara, who who's the chief or I don't. 674 00:45:55,693 --> 00:45:58,613 Speaker 4: I haven't met her, but I wrote to her and 675 00:45:58,653 --> 00:46:01,253 Speaker 4: we actually had an exchange. She didn't answer my first 676 00:46:01,253 --> 00:46:03,453 Speaker 4: two emails, and I wrote and said, come on, I'm 677 00:46:03,453 --> 00:46:07,493 Speaker 4: a professional, you're a professional. And I said, you know, 678 00:46:07,613 --> 00:46:10,293 Speaker 4: I think you work the best in the world, because 679 00:46:10,333 --> 00:46:16,013 Speaker 4: she's followed the epidemiology right through from twenty twenty one. 680 00:46:16,133 --> 00:46:19,693 Speaker 4: But I said, what you're showing, don't you think it's 681 00:46:19,733 --> 00:46:22,213 Speaker 4: pretty confusing? And she said, oh, no, I think the 682 00:46:22,293 --> 00:46:25,933 Speaker 4: vaccine's terrific. And I said, have you really looked at 683 00:46:25,973 --> 00:46:30,333 Speaker 4: your own data? And she stopped answering after that. 684 00:46:30,573 --> 00:46:31,453 Speaker 3: You embarrassed her. 685 00:46:32,093 --> 00:46:34,093 Speaker 2: I wasn't trying to embarrass her in any form. 686 00:46:34,213 --> 00:46:37,333 Speaker 3: No, no, no, But was that the reason for the note. 687 00:46:38,173 --> 00:46:41,053 Speaker 4: I don't think anyone else had sort of had said, hey, 688 00:46:41,093 --> 00:46:44,013 Speaker 4: wait a second, what you're showing are the problems, not 689 00:46:44,093 --> 00:46:44,853 Speaker 4: the answers. 690 00:46:45,573 --> 00:46:48,773 Speaker 3: I can't understand how somebody can not be aware of that. 691 00:46:49,453 --> 00:46:52,933 Speaker 4: We'll tell you that there's another guy who's involved. He's 692 00:46:52,973 --> 00:46:55,853 Speaker 4: a very different sort of person. He works for the 693 00:46:56,573 --> 00:47:00,293 Speaker 4: Cleveland Clinic and he's been doing exactly what Sarah has 694 00:47:00,293 --> 00:47:00,813 Speaker 4: been doing. 695 00:47:01,813 --> 00:47:03,053 Speaker 2: He's an Indian chap. 696 00:47:03,093 --> 00:47:06,133 Speaker 4: He's an infectious disease physician, and this is very interesting. 697 00:47:06,853 --> 00:47:10,093 Speaker 4: He was the first to show negative immunity and when 698 00:47:10,093 --> 00:47:13,093 Speaker 4: he showed it, very early in he found that the 699 00:47:13,133 --> 00:47:16,893 Speaker 4: people who had three or more vaccines were getting more 700 00:47:16,933 --> 00:47:20,653 Speaker 4: infections than the people who had less than three or more, 701 00:47:21,133 --> 00:47:25,013 Speaker 4: and he got dumped on by all the fact checkers 702 00:47:25,613 --> 00:47:29,573 Speaker 4: and I saw he answered by saying, this is the data. 703 00:47:29,653 --> 00:47:30,573 Speaker 2: I don't understand it. 704 00:47:30,653 --> 00:47:32,893 Speaker 4: So I wrote to him and we have an active 705 00:47:33,253 --> 00:47:37,333 Speaker 4: two way email exchange and he's a great guy, and 706 00:47:37,373 --> 00:47:40,173 Speaker 4: he thanked me for pointing out the immunology. He said, 707 00:47:40,213 --> 00:47:42,893 Speaker 4: you know, we infectious as these physicians. We do not 708 00:47:43,093 --> 00:47:46,453 Speaker 4: understand the immunology. And if you look at who's running 709 00:47:46,573 --> 00:47:50,053 Speaker 4: these programs in New Zealand and Australia, they're infectious as 710 00:47:50,173 --> 00:47:53,533 Speaker 4: these physicians who are very good at treating infections, but 711 00:47:53,613 --> 00:47:59,413 Speaker 4: they're not immunologists. And this guy has and The scariest 712 00:47:59,413 --> 00:48:02,533 Speaker 4: thing about my friend at the Cleveland Clinic is he's 713 00:48:02,533 --> 00:48:05,973 Speaker 4: looking not at this is thirty to fifty thousand people 714 00:48:06,053 --> 00:48:08,933 Speaker 4: who worked for the Cleveland Clinic, not a few. And 715 00:48:08,973 --> 00:48:12,973 Speaker 4: he's now looked at the latest flu pandemic, not pandemic, 716 00:48:13,013 --> 00:48:19,213 Speaker 4: but the flu season with the standard flu vaccinations. In 717 00:48:19,293 --> 00:48:22,733 Speaker 4: the same populations have been getting the COVID vaccines, and 718 00:48:22,773 --> 00:48:26,813 Speaker 4: for the first time ever, twenty seven percent of the 719 00:48:26,933 --> 00:48:32,613 Speaker 4: vaccinated people had more flu infections than there was a 720 00:48:32,653 --> 00:48:36,373 Speaker 4: twenty seven percent increase in flu infections in the vaccinator 721 00:48:36,453 --> 00:48:40,413 Speaker 4: group compared with the non flu vaccinator group. In other words, 722 00:48:40,493 --> 00:48:45,293 Speaker 4: this immune suppression looks as though can spread to affect 723 00:48:45,333 --> 00:48:46,133 Speaker 4: other outcomes. 724 00:48:46,213 --> 00:48:51,213 Speaker 3: Right, So the immune repression is a new phrase, all right. 725 00:48:52,813 --> 00:48:59,293 Speaker 4: The Nobel Prize was given this year, strangely for for imute. 726 00:48:59,573 --> 00:49:02,213 Speaker 3: Okay, all right, But when when I say in the 727 00:49:02,253 --> 00:49:06,813 Speaker 3: new phrase, it hasn't been banded about too much publicly? 728 00:49:06,853 --> 00:49:08,253 Speaker 3: Has it been prior to this? 729 00:49:08,853 --> 00:49:11,133 Speaker 4: Not at all, because no one wants to know it exists. 730 00:49:11,373 --> 00:49:14,693 Speaker 4: It doesn't sit the narrative exactly. Although I did get 731 00:49:14,693 --> 00:49:15,973 Speaker 4: a Nobel prize. 732 00:49:15,613 --> 00:49:19,413 Speaker 3: That's exactly my point. Well, here's another good question, then, 733 00:49:20,013 --> 00:49:22,573 Speaker 3: based on all of the above, how come it won 734 00:49:22,613 --> 00:49:26,093 Speaker 3: the Nobel Prize. You would have thought that with all 735 00:49:26,173 --> 00:49:31,133 Speaker 3: the going on behind the scenes that you're discussing, and 736 00:49:31,173 --> 00:49:33,733 Speaker 3: there must have been much of it, then you'd have 737 00:49:33,813 --> 00:49:36,453 Speaker 3: to be I'll turn it into a question, would you 738 00:49:36,533 --> 00:49:39,933 Speaker 3: have to be pretty brave to award the Nobel Prize 739 00:49:39,973 --> 00:49:40,293 Speaker 3: for it? 740 00:49:41,053 --> 00:49:43,973 Speaker 4: Or can I answer that by telling you about the 741 00:49:44,013 --> 00:49:48,053 Speaker 4: Nobel Prize the year before? The Nobel Prize the year 742 00:49:48,093 --> 00:49:52,013 Speaker 4: before was given to two people who had got the 743 00:49:52,133 --> 00:49:56,653 Speaker 4: prize by inserting into Messenger RNA. Many people watching though 744 00:49:56,693 --> 00:49:59,373 Speaker 4: there are four bases, and it's all about a coding 745 00:49:59,413 --> 00:50:03,573 Speaker 4: of rearranging these bases, and to make it more stable 746 00:50:03,653 --> 00:50:08,573 Speaker 4: and last longer, they changed one of the bases, which 747 00:50:08,613 --> 00:50:13,173 Speaker 4: is called urasilt, using pseudouridine. And without that they couldn't 748 00:50:13,173 --> 00:50:16,933 Speaker 4: have made the Messenger RNA vaccine that got the Nobel 749 00:50:17,013 --> 00:50:23,613 Speaker 4: Prize in twenty twenty four. Within weeks of them getting 750 00:50:23,693 --> 00:50:27,933 Speaker 4: the Nobel Prize, the Cambridge Group showed that by putting 751 00:50:27,933 --> 00:50:32,493 Speaker 4: this pseudouridine into the Messenger RNA it called slippage. In 752 00:50:32,573 --> 00:50:36,013 Speaker 4: the reading, you can imagine the Messenger rena. 753 00:50:35,893 --> 00:50:37,813 Speaker 2: Goes into a cell and it's got to be read. 754 00:50:37,853 --> 00:50:41,773 Speaker 4: The information's read to make a new protein, a spike protein, 755 00:50:41,853 --> 00:50:47,213 Speaker 4: which then stimulates immunity, and in doing that, it's called 756 00:50:47,213 --> 00:50:50,933 Speaker 4: a plus one slippage, which means that twenty percent twenty 757 00:50:50,973 --> 00:50:54,853 Speaker 4: percent of people who were immunized with the messenger RNA 758 00:50:55,493 --> 00:51:01,653 Speaker 4: vaccine were producing abnormal proteins in the blood. Abnormal proteins. 759 00:51:02,253 --> 00:51:06,253 Speaker 4: Some of these abnormal proteins have the ability to catalyze 760 00:51:06,293 --> 00:51:11,453 Speaker 4: a process called amyloid dippers. The Japanese around the same 761 00:51:11,533 --> 00:51:16,293 Speaker 4: time suddenly found a significant increase in the report of 762 00:51:17,013 --> 00:51:21,013 Speaker 4: certain aspects of dementia, which is caused, we believe by 763 00:51:21,253 --> 00:51:24,853 Speaker 4: amyloid deposition. Now I'm not saying all this, I'm simply 764 00:51:24,933 --> 00:51:28,653 Speaker 4: saying that there's these red flags that are appearing that 765 00:51:28,773 --> 00:51:32,253 Speaker 4: no one wants to see as red flag, saying stop, 766 00:51:32,613 --> 00:51:36,013 Speaker 4: let's work this out, because too many things are happening 767 00:51:36,213 --> 00:51:40,173 Speaker 4: that we don't understand. But the Nobel Prize was refuted 768 00:51:40,213 --> 00:51:44,013 Speaker 4: within weeks of it being awarded the following year. I 769 00:51:44,053 --> 00:51:46,893 Speaker 4: think it's wonderful that they went and awarded it to 770 00:51:47,013 --> 00:51:51,453 Speaker 4: the very thing that they're stimulating with their Messenger RNA vaccines. 771 00:51:51,613 --> 00:51:54,853 Speaker 4: Because remember, you do not control the dose of antigen. 772 00:51:55,253 --> 00:51:58,373 Speaker 4: When you put in a genetic message, because it goes 773 00:51:58,373 --> 00:52:01,013 Speaker 4: to every cell in the body, every wealth can become 774 00:52:01,093 --> 00:52:05,173 Speaker 4: potentially a factory. Whereas a tetanus vaccine or any of 775 00:52:05,213 --> 00:52:08,253 Speaker 4: the normal vaccines is a tiny little bit of measured 776 00:52:08,373 --> 00:52:11,293 Speaker 4: anigen that you stick into your arm and goes to 777 00:52:11,413 --> 00:52:15,533 Speaker 4: your regional lymph nodes. Totally different situation. And when you 778 00:52:15,613 --> 00:52:19,133 Speaker 4: don't control the anigen, you get a more pronounced tolerance 779 00:52:19,213 --> 00:52:21,413 Speaker 4: or down regulation affect you to suppression. 780 00:52:22,093 --> 00:52:24,933 Speaker 3: Let me, let me just refer to a few things 781 00:52:24,933 --> 00:52:28,093 Speaker 3: I scribbled down and you've just targeted one of them, 782 00:52:28,293 --> 00:52:34,053 Speaker 3: and you'll understand mRNA has no targeting system. 783 00:52:34,093 --> 00:52:34,533 Speaker 2: True. 784 00:52:35,013 --> 00:52:36,453 Speaker 3: So does what does that mean? 785 00:52:37,173 --> 00:52:41,253 Speaker 4: Well, what it means is that any cell messenger RNA, 786 00:52:41,893 --> 00:52:44,533 Speaker 4: if you just put ordinary messenger RNA into the body, 787 00:52:44,733 --> 00:52:47,213 Speaker 4: it gets broken up and dissipates. And so they had 788 00:52:47,213 --> 00:52:49,853 Speaker 4: to do two things to make sure it got into 789 00:52:49,893 --> 00:52:54,493 Speaker 4: cells so it could translate its message into making the 790 00:52:54,573 --> 00:52:55,853 Speaker 4: spike protein anigen. 791 00:52:56,533 --> 00:52:58,693 Speaker 2: And so they did two things. 792 00:52:58,693 --> 00:53:01,693 Speaker 4: They change one of the bases to pseudo uridine, which 793 00:53:01,733 --> 00:53:04,373 Speaker 4: we talked about a minute ago, and they encased it 794 00:53:04,373 --> 00:53:07,893 Speaker 4: in what's called a lipid nanoparticle, which has a very 795 00:53:07,973 --> 00:53:10,893 Speaker 4: powerful effect at helping it get into a cell, and 796 00:53:10,933 --> 00:53:14,373 Speaker 4: so potentially every cell in the body can take up 797 00:53:14,493 --> 00:53:19,133 Speaker 4: messenger RNA when it's delivered in this particular format. So 798 00:53:19,493 --> 00:53:23,053 Speaker 4: the messenger RNA itself doesn't have a target other than 799 00:53:23,293 --> 00:53:26,613 Speaker 4: a cell to act as a factory. And once it 800 00:53:26,653 --> 00:53:29,973 Speaker 4: does that, it puts the Any cell that makes the 801 00:53:30,013 --> 00:53:33,133 Speaker 4: spike protein is going to have that spike protein stuck 802 00:53:33,173 --> 00:53:36,133 Speaker 4: on its surface as a foreign protein. And when you 803 00:53:36,133 --> 00:53:38,773 Speaker 4: get a foreign protein, the body says, well, we'll make 804 00:53:38,813 --> 00:53:41,413 Speaker 4: an immune response to that. So is it such a 805 00:53:41,453 --> 00:53:44,973 Speaker 4: surprise that you get like an autoimmune response, the T 806 00:53:45,173 --> 00:53:47,813 Speaker 4: cells come along and destroy the cell that's making the 807 00:53:47,853 --> 00:53:54,333 Speaker 4: spike protein, you get myaciditis, you get brain problems, problems 808 00:53:55,053 --> 00:53:58,973 Speaker 4: potentially anywhere in the body, which is what obviously we've 809 00:53:59,013 --> 00:54:00,733 Speaker 4: been seeing for four years now. 810 00:54:01,013 --> 00:54:06,533 Speaker 3: It's a matter of interest the talking of myocarditis. Is 811 00:54:06,573 --> 00:54:12,093 Speaker 3: there any any period of time in which that will 812 00:54:12,173 --> 00:54:16,733 Speaker 3: happen or must happen, or is it something that can 813 00:54:16,773 --> 00:54:22,813 Speaker 3: extend its availability if you understand what I mean, for well, 814 00:54:22,853 --> 00:54:24,333 Speaker 3: almost eternity. 815 00:54:24,493 --> 00:54:27,213 Speaker 2: We don't know. We don't know. I mean, how long 816 00:54:27,253 --> 00:54:28,013 Speaker 2: is a piece of string. 817 00:54:28,533 --> 00:54:31,933 Speaker 4: We know that in studying from Yale, which is a 818 00:54:32,053 --> 00:54:36,773 Speaker 4: highly reputable group in the Yale University States. They were 819 00:54:36,813 --> 00:54:39,853 Speaker 4: finding they were finding spike protein floating around in the 820 00:54:39,853 --> 00:54:43,733 Speaker 4: blood of people with chronic post vaccine problems. 821 00:54:44,933 --> 00:54:45,093 Speaker 2: Two. 822 00:54:45,333 --> 00:54:47,733 Speaker 4: They stopped looking at two years, and they were finding 823 00:54:47,773 --> 00:54:53,613 Speaker 4: it two years later. So we know that people have 824 00:54:53,773 --> 00:54:57,493 Speaker 4: post mortems from heart attacks and things like this years 825 00:54:57,573 --> 00:55:01,533 Speaker 4: later and they're finding spike protein and T cell responses 826 00:55:01,573 --> 00:55:04,733 Speaker 4: to that in the tissues. We don't know how long 827 00:55:04,773 --> 00:55:06,373 Speaker 4: it can stay in some people. 828 00:55:06,813 --> 00:55:08,253 Speaker 3: What about IgG four? 829 00:55:09,013 --> 00:55:10,533 Speaker 2: What about it? What do you want to know about it? 830 00:55:10,973 --> 00:55:11,973 Speaker 3: Anything you can tell me? 831 00:55:14,133 --> 00:55:16,333 Speaker 2: No, how long has peace was strength? You know, it's 832 00:55:16,333 --> 00:55:18,053 Speaker 2: interesting a lot. 833 00:55:17,893 --> 00:55:20,293 Speaker 4: Of people who know nothing about the immunology of this 834 00:55:20,413 --> 00:55:25,253 Speaker 4: disease have suddenly found IgG four is increased, and it's 835 00:55:25,293 --> 00:55:28,333 Speaker 4: all part of the toleerzing process. Remember, let's go back 836 00:55:28,373 --> 00:55:33,693 Speaker 4: to new inhaling a virus, we call that an antigen 837 00:55:33,773 --> 00:55:38,013 Speaker 4: because it's foreign. It's no different to inhaling a pollen. Now, 838 00:55:38,053 --> 00:55:41,453 Speaker 4: if you inhale pollens, some people will get asthma or 839 00:55:41,453 --> 00:55:45,653 Speaker 4: hay fever, which is an exaggerated immune response. Some people 840 00:55:45,733 --> 00:55:51,373 Speaker 4: don't now the way, if you go to analogist and 841 00:55:51,453 --> 00:55:54,533 Speaker 4: ask for treatment. More often than not, he's going to say, 842 00:55:54,573 --> 00:55:57,733 Speaker 4: I'm going to give you a set of injections, and 843 00:55:57,773 --> 00:56:01,893 Speaker 4: that set of injections is the pollen adigen, And so 844 00:56:02,053 --> 00:56:04,653 Speaker 4: you give it, and what you're doing is stimulating the 845 00:56:04,733 --> 00:56:08,173 Speaker 4: balance we talked about a balance between protection and suppression. 846 00:56:08,893 --> 00:56:12,533 Speaker 4: And the more you inject the antigen, the more suppression 847 00:56:12,573 --> 00:56:15,493 Speaker 4: you get, and you turn off the symptoms of asthma 848 00:56:15,613 --> 00:56:19,453 Speaker 4: and hay fever. And people say that's terrific. There's no 849 00:56:19,733 --> 00:56:23,413 Speaker 4: real difference between giving people every six months or so 850 00:56:24,693 --> 00:56:29,093 Speaker 4: a shot of COVID messenger RNA. And remember you're not 851 00:56:29,173 --> 00:56:32,213 Speaker 4: controlling the antigen does so it's continuing to be made. 852 00:56:32,653 --> 00:56:35,653 Speaker 4: You're pouring, you're doing the same thing as the allergis 853 00:56:35,733 --> 00:56:39,093 Speaker 4: is doing. You're turning off the immune response, which means 854 00:56:39,093 --> 00:56:43,653 Speaker 4: you get more infections, and you're getting this tolerance which 855 00:56:43,693 --> 00:56:47,253 Speaker 4: seems now as though it can overflow to other biological systems. 856 00:56:47,773 --> 00:56:48,533 Speaker 3: I scribble down. 857 00:56:49,213 --> 00:56:51,093 Speaker 2: You understand that, I'll say it. 858 00:56:51,853 --> 00:56:54,333 Speaker 3: No, I do, But if you want to say it again, 859 00:56:54,413 --> 00:56:54,853 Speaker 3: go for it. 860 00:56:54,973 --> 00:56:57,453 Speaker 2: No, No, why don't you give me your intermation. 861 00:56:58,093 --> 00:56:59,653 Speaker 3: No I didn't get it quite in that world. 862 00:57:01,333 --> 00:57:03,173 Speaker 2: No, No, I'm not being nasty. 863 00:57:03,453 --> 00:57:07,333 Speaker 4: I just people do not understand this very simple biological 864 00:57:07,373 --> 00:57:10,813 Speaker 4: principle has been since since one hundred years. 865 00:57:10,653 --> 00:57:13,333 Speaker 3: Right now, that's I mean, this is why I just 866 00:57:13,373 --> 00:57:15,373 Speaker 3: gave you IAG four and then I had after that 867 00:57:15,493 --> 00:57:23,733 Speaker 3: IgG four, I scribbled, I scribbled more shots bad. Right, 868 00:57:23,893 --> 00:57:25,813 Speaker 3: The more shots you get, the more you're going to 869 00:57:26,133 --> 00:57:28,773 Speaker 3: you going to get or more likely you're going to 870 00:57:28,773 --> 00:57:29,213 Speaker 3: get crook. 871 00:57:29,933 --> 00:57:35,973 Speaker 4: Exactly what Sarah ferraras in the Quebec studies and so 872 00:57:36,133 --> 00:57:39,373 Speaker 4: of the Cleveland clinic. They're shown exactly this in large 873 00:57:39,373 --> 00:57:41,653 Speaker 4: and large number thousands and thousands of people. 874 00:57:41,773 --> 00:57:44,493 Speaker 3: And that's because you've destroyed your immunity. 875 00:57:45,093 --> 00:57:47,773 Speaker 4: No, you're not destroying your immunity. You're changing the balance 876 00:57:48,373 --> 00:57:54,093 Speaker 4: of positive and negative because that's what themw cosal immune 877 00:57:54,093 --> 00:57:57,973 Speaker 4: system is all about. Very different to the sterilizing immunity 878 00:57:58,013 --> 00:58:02,053 Speaker 4: inside the body. What happens you spread the suppressor cells 879 00:58:02,053 --> 00:58:05,813 Speaker 4: throughout the body. A fantastic study has just come out. 880 00:58:05,853 --> 00:58:10,293 Speaker 4: I saw it yesterday, perfect time, where they've actually looked 881 00:58:10,533 --> 00:58:16,573 Speaker 4: analyzed the impact of getting coronavirus infections through life as 882 00:58:16,973 --> 00:58:22,053 Speaker 4: cornersing a cold. The COVID is simply a coronavirus that's 883 00:58:22,093 --> 00:58:26,093 Speaker 4: been manipulated one way or the other into one that's 884 00:58:26,133 --> 00:58:29,933 Speaker 4: more likely to invade the body. And so by having 885 00:58:30,093 --> 00:58:35,133 Speaker 4: coronavirus infections, you're priming the person. And this woman has 886 00:58:35,173 --> 00:58:38,093 Speaker 4: done a PhD in the States showing this is exactly 887 00:58:38,093 --> 00:58:41,253 Speaker 4: what's been happening. And the people who are primed with 888 00:58:41,333 --> 00:58:45,893 Speaker 4: antibody and immunity to coronavirus is because they've had them 889 00:58:45,893 --> 00:58:49,013 Speaker 4: in the past. If they get into hospital and they've 890 00:58:49,053 --> 00:58:51,733 Speaker 4: been vaccinated, they've got a greater chance of dying. Now, 891 00:58:51,773 --> 00:58:55,573 Speaker 4: that is very scary stuff, and it's showing exactly what 892 00:58:56,173 --> 00:58:59,373 Speaker 4: we have been talking about, and it's now been shown 893 00:58:59,933 --> 00:59:02,293 Speaker 4: in a molecular fashion. 894 00:59:03,373 --> 00:59:08,973 Speaker 3: Well, you've fulfilled my wish in sturing the question. 895 00:59:10,413 --> 00:59:14,333 Speaker 4: It was I didn't ask the question about IgG four though, 896 00:59:15,173 --> 00:59:19,093 Speaker 4: I just IgG four is one of four subclasses of 897 00:59:19,133 --> 00:59:22,613 Speaker 4: the IgG, the main antibody in blood, and the way 898 00:59:22,653 --> 00:59:27,693 Speaker 4: in which these T cells operate to suppress or activate 899 00:59:27,933 --> 00:59:31,893 Speaker 4: is by helping the antibody, making cells work and making 900 00:59:31,933 --> 00:59:33,813 Speaker 4: them make better and better antibody. 901 00:59:34,293 --> 00:59:35,133 Speaker 2: As you get. 902 00:59:35,053 --> 00:59:39,453 Speaker 4: More and more stimulation by vaccines or lots of covid 903 00:59:40,933 --> 00:59:46,373 Speaker 4: or allergy shots, then the T cell changes the pattern 904 00:59:46,613 --> 00:59:51,933 Speaker 4: of impact on anybody making and shifts shifts it to 905 00:59:52,013 --> 00:59:56,413 Speaker 4: an IgG four which has a counter effect on more 906 00:59:56,933 --> 01:00:01,853 Speaker 4: protective IgG antibodies. And so it's part of this toleerzing 907 01:00:01,973 --> 01:00:05,453 Speaker 4: process induced by the T suppressor cells. 908 01:00:06,093 --> 01:00:07,053 Speaker 2: That's as simple as that. 909 01:00:07,693 --> 01:00:11,213 Speaker 3: So what do ask this question? And everyone will get this. 910 01:00:12,173 --> 01:00:16,933 Speaker 3: There are still ads on messenger shots and people are 911 01:00:16,933 --> 01:00:19,173 Speaker 3: responding to them. I don't know in what numbers, but 912 01:00:19,213 --> 01:00:21,973 Speaker 3: not as big as they would have once upon a time. 913 01:00:22,053 --> 01:00:22,413 Speaker 2: I know that. 914 01:00:23,413 --> 01:00:28,493 Speaker 3: But the ad is usually accompanied by safe and effective. 915 01:00:31,093 --> 01:00:34,733 Speaker 3: Your take on that, well, you know what might take is, 916 01:00:34,973 --> 01:00:39,333 Speaker 3: but I want you to share it. Okay, No, I'm sorry. 917 01:00:40,133 --> 01:00:44,853 Speaker 3: I'm not meaning to be flipping. They are not They 918 01:00:44,853 --> 01:00:48,893 Speaker 3: are not safe, and at this stage they're not particularly effective. 919 01:00:48,933 --> 01:00:52,573 Speaker 3: In fact, they're counter effective. You can be worse off. 920 01:00:53,773 --> 01:00:56,173 Speaker 4: I mean, I have friends tell me how they've had 921 01:00:56,253 --> 01:01:00,453 Speaker 4: five or six or seven facines and they can't understand 922 01:01:00,453 --> 01:01:03,253 Speaker 4: it why they're so sick with COVID. They ring me 923 01:01:03,333 --> 01:01:07,973 Speaker 4: up for treatment, and I say, well, of course you 924 01:01:08,373 --> 01:01:12,453 Speaker 4: had to get more COVID. So vaccination with messenger RNA 925 01:01:13,093 --> 01:01:17,093 Speaker 4: vaccines are not safe. There's a study that just came 926 01:01:17,133 --> 01:01:19,933 Speaker 4: out from South Korea which people should be aware of, 927 01:01:20,333 --> 01:01:25,573 Speaker 4: and that is they compared the benefits, the outcome benefits 928 01:01:25,573 --> 01:01:31,053 Speaker 4: from comparing a Fizer Messenger RNA vaccine with a NOVA 929 01:01:32,653 --> 01:01:35,813 Speaker 4: with the antigen vaccine from what is it Nova something, 930 01:01:36,973 --> 01:01:42,133 Speaker 4: and the kids who were getting the anigen vaccine had 931 01:01:42,253 --> 01:01:46,093 Speaker 4: more protection than the kids who were getting the Messenger 932 01:01:46,173 --> 01:01:48,933 Speaker 4: RNA simply because you don't get the same degree of 933 01:01:48,933 --> 01:01:54,573 Speaker 4: suppression with the antigen vaccine. So that's the first data 934 01:01:54,653 --> 01:01:59,173 Speaker 4: of direct comparison that exists, and it did not favor 935 01:01:59,413 --> 01:02:04,493 Speaker 4: the Messenger RNA vaccine. And yet where in New Zealand 936 01:02:04,573 --> 01:02:07,013 Speaker 4: can you get the what is it? I've got a 937 01:02:07,053 --> 01:02:09,373 Speaker 4: metal block on the name of the company that makes 938 01:02:09,413 --> 01:02:16,893 Speaker 4: the Nova. No, No, there's fires from doing to make 939 01:02:16,933 --> 01:02:21,013 Speaker 4: the Messenger And then there's a company called they bring 940 01:02:21,053 --> 01:02:23,493 Speaker 4: out an anigine vaccine which we used to be able 941 01:02:23,533 --> 01:02:25,333 Speaker 4: to get but we can't get now in Australia. 942 01:02:25,733 --> 01:02:28,933 Speaker 3: No, I can't recall. I stopped, I stopped listening and reading. 943 01:02:29,613 --> 01:02:31,813 Speaker 3: Now's the time that now's the time. I'm just going 944 01:02:31,853 --> 01:02:37,773 Speaker 3: to say that I watched this morning the discussion you 945 01:02:37,893 --> 01:02:44,453 Speaker 3: had with the dark Horse podcast whatever it is, but 946 01:02:44,493 --> 01:02:47,493 Speaker 3: it's a it's a video the dark Horse. Now I 947 01:02:48,133 --> 01:02:51,053 Speaker 3: didn't have time to go back and catch the name 948 01:02:51,093 --> 01:02:53,973 Speaker 3: of the guy who runs it. Can you record it? 949 01:02:54,693 --> 01:02:59,573 Speaker 2: Yeah, it's Brent, Brent Brett Brett. 950 01:02:59,973 --> 01:03:01,253 Speaker 3: That's it doesn't matter. 951 01:03:01,293 --> 01:03:05,213 Speaker 4: But yes, he's quite he's quite a big podcaster in 952 01:03:05,253 --> 01:03:05,693 Speaker 4: the States. 953 01:03:07,133 --> 01:03:10,173 Speaker 3: So at the end of it, or towards the end, 954 01:03:11,053 --> 01:03:14,293 Speaker 3: he said, what we must do is actually take the 955 01:03:14,413 --> 01:03:18,333 Speaker 3: example of COVID, where we've gotten as close as we 956 01:03:18,493 --> 01:03:21,973 Speaker 3: are ever going to get to to seeing the dysfunction 957 01:03:22,493 --> 01:03:26,093 Speaker 3: of our system, and we should analyze what took place. 958 01:03:27,093 --> 01:03:30,293 Speaker 3: How did we allow ourselves to be marched in this direction, 959 01:03:30,733 --> 01:03:34,573 Speaker 3: to apply these remedies, to ignore other remedies that actually work. 960 01:03:35,173 --> 01:03:37,693 Speaker 3: How did that happen? If we can get to the 961 01:03:37,693 --> 01:03:41,533 Speaker 3: bottom of the story of COVID, we will know how 962 01:03:41,573 --> 01:03:44,373 Speaker 3: to cure our system. But they're going to fend off 963 01:03:44,493 --> 01:03:47,693 Speaker 3: that investigation with everything they've got. 964 01:03:48,053 --> 01:03:51,013 Speaker 4: You know, that's a very very accurate statement. I'd forgotten 965 01:03:51,053 --> 01:03:55,333 Speaker 4: he said that, but I couldn't say it better myself. 966 01:03:55,773 --> 01:03:59,333 Speaker 3: See, we've got these inquiries going on in both Australia 967 01:03:59,373 --> 01:04:03,013 Speaker 3: and New Zealand which are all a joke, exactly waste 968 01:04:03,053 --> 01:04:06,613 Speaker 3: of space and money. If you've got something useful to say, 969 01:04:06,613 --> 01:04:09,893 Speaker 3: you're not asked to say it. People fall into that category. 970 01:04:10,773 --> 01:04:16,493 Speaker 3: So having dealt with that the WHO, and I was 971 01:04:16,533 --> 01:04:20,333 Speaker 3: on top of this move by the WHO up until 972 01:04:20,893 --> 01:04:24,493 Speaker 3: more recently when we took a holiday and forgot everything 973 01:04:24,533 --> 01:04:27,893 Speaker 3: that was going on. Pretty much, what's your reaction to 974 01:04:27,933 --> 01:04:31,813 Speaker 3: the changes that the WHO is flogging with regard to 975 01:04:33,373 --> 01:04:35,613 Speaker 3: the next crisis, the one after that. 976 01:04:36,973 --> 01:04:41,773 Speaker 4: Well, the first thing is to realize the WHO is 977 01:04:41,773 --> 01:04:44,253 Speaker 4: not what it used to be. It's always been a 978 01:04:44,293 --> 01:04:49,813 Speaker 4: political organization, but what's happened is that then it is 979 01:04:49,893 --> 01:04:55,093 Speaker 4: now essentially run by outside vested interests that are not 980 01:04:55,853 --> 01:05:03,693 Speaker 4: just governments. They're heavily funded by private industry and private individuals. 981 01:05:04,133 --> 01:05:09,573 Speaker 4: They have this worldview which seems to support their own 982 01:05:09,613 --> 01:05:14,373 Speaker 4: profit motivations. I mean, even looking at this as benign 983 01:05:14,453 --> 01:05:18,413 Speaker 4: a way as you can, you can't have one size 984 01:05:18,413 --> 01:05:22,173 Speaker 4: fit all, which is essentially what they're trying to propose. 985 01:05:23,013 --> 01:05:27,893 Speaker 4: The one size fit all is pretty concerning. But you know, 986 01:05:27,973 --> 01:05:30,933 Speaker 4: to have an organization like the WHO with a track 987 01:05:30,973 --> 01:05:33,973 Speaker 4: record which is nothing short of appalling over the COVID 988 01:05:33,973 --> 01:05:37,373 Speaker 4: era telling you in New Zealand and US in Australia 989 01:05:37,613 --> 01:05:40,053 Speaker 4: how to run our medical services and how to prepare 990 01:05:40,093 --> 01:05:47,053 Speaker 4: for the next facts the next it's laughable if it 991 01:05:47,093 --> 01:05:50,973 Speaker 4: wasn't so serious. And we're about to put in play 992 01:05:51,013 --> 01:05:55,693 Speaker 4: from January one, our own CDC and Australia. God only 993 01:05:55,733 --> 01:05:59,493 Speaker 4: knows how that's going to function. It'll be hand in hand, 994 01:05:59,533 --> 01:06:03,573 Speaker 4: I assume with the WHO and you and I aren't 995 01:06:03,573 --> 01:06:04,333 Speaker 4: going to be listened to. 996 01:06:04,933 --> 01:06:06,853 Speaker 3: Well, there's no reason why I should be, but every 997 01:06:06,893 --> 01:06:12,213 Speaker 3: reason why you should. Did you ever meet Ashley Bloomfield. 998 01:06:13,013 --> 01:06:15,213 Speaker 2: No, I don't know as she Bloomfield, don't know the name. 999 01:06:16,533 --> 01:06:22,213 Speaker 3: He was in charge of everything here during COVID basically, 1000 01:06:22,693 --> 01:06:27,013 Speaker 3: and he scored a knighthood through it. He sold all 1001 01:06:27,173 --> 01:06:30,813 Speaker 3: the things that we've talked about that are wrong. 1002 01:06:31,933 --> 01:06:32,813 Speaker 2: We've got a few of those. 1003 01:06:33,013 --> 01:06:36,253 Speaker 3: Yeah, well we had your center too, don't forget. 1004 01:06:38,093 --> 01:06:39,333 Speaker 2: I'm sorry I shouldn't laugh. 1005 01:06:40,813 --> 01:06:46,413 Speaker 3: Well, it's healthy to laugh, you know. Well, finally, let's 1006 01:06:46,453 --> 01:06:48,533 Speaker 3: just talk about the book for a moment or two. 1007 01:06:49,533 --> 01:06:53,413 Speaker 3: You mentioned it earlier, COVID Through Our Eyes, an austraighted 1008 01:06:53,493 --> 01:06:58,013 Speaker 3: story of mistakes, mistreatment and misinformation. Now at this point 1009 01:06:58,013 --> 01:07:00,093 Speaker 3: I'm going to be accusative and I'm going to suggest 1010 01:07:00,133 --> 01:07:02,093 Speaker 3: that one of the mistakes you made was not including 1011 01:07:02,333 --> 01:07:06,053 Speaker 3: at least one chapter on New Zealand you really should have. 1012 01:07:06,853 --> 01:07:08,013 Speaker 2: Yeah, that's a good point. 1013 01:07:08,933 --> 01:07:13,893 Speaker 3: Edited by Professor Robert Clancy and doctor Melissa McCann. Now 1014 01:07:14,093 --> 01:07:20,613 Speaker 3: there are nineteen chapters in Part one, Part two Personal 1015 01:07:20,693 --> 01:07:24,173 Speaker 3: Encounters don't doesn't have a chapter number. And it's a 1016 01:07:24,173 --> 01:07:28,693 Speaker 3: book that I believe anybody who is interested in this 1017 01:07:28,733 --> 01:07:32,653 Speaker 3: particular subject should get their hands on. It's one of 1018 01:07:32,693 --> 01:07:35,733 Speaker 3: the better ones. He starts off with what this book 1019 01:07:35,813 --> 01:07:42,493 Speaker 3: is about, finishes with the futurists, that is he being 1020 01:07:42,613 --> 01:07:47,413 Speaker 3: Robert Clancy, and in between there are numerous people in 1021 01:07:47,533 --> 01:07:50,693 Speaker 3: various areas, including Gigi Faster, who we had on the 1022 01:07:50,693 --> 01:07:55,413 Speaker 3: podcast way back in twenty one on Podcast one three two. 1023 01:07:56,093 --> 01:07:58,773 Speaker 3: How did I remember that? And it's a book that 1024 01:07:59,173 --> 01:08:02,813 Speaker 3: will answer a lot of questions I believe. Am I wrong? 1025 01:08:05,413 --> 01:08:05,813 Speaker 2: I don't know. 1026 01:08:05,893 --> 01:08:09,853 Speaker 4: For I think it puts questions, identifies what we do know, 1027 01:08:12,133 --> 01:08:14,853 Speaker 4: It gives some ideas of things how we can do 1028 01:08:14,933 --> 01:08:16,893 Speaker 4: things better. It's a bit hard for me to be 1029 01:08:17,453 --> 01:08:21,693 Speaker 4: too critical of different aspects, but no, what we've tried 1030 01:08:21,733 --> 01:08:27,013 Speaker 4: to do is tell our experience from different perspectives. No 1031 01:08:27,093 --> 01:08:30,293 Speaker 4: one was told what to write they all had free 1032 01:08:30,293 --> 01:08:33,253 Speaker 4: reign to write what they wanted to write. There's a 1033 01:08:33,253 --> 01:08:38,133 Speaker 4: certain consistency of views, as you would note, and some 1034 01:08:38,253 --> 01:08:40,973 Speaker 4: people have got different ideas and views, but by and 1035 01:08:41,093 --> 01:08:45,573 Speaker 4: large it's an indictment of a process that we went through. 1036 01:08:46,493 --> 01:08:49,053 Speaker 4: It's an indictment of the way in which it was 1037 01:08:49,133 --> 01:08:54,213 Speaker 4: run and the outcomes. Our failure, I think, the failure 1038 01:08:54,373 --> 01:08:59,973 Speaker 4: of government to honestly assess what went wrong and if 1039 01:09:00,013 --> 01:09:05,413 Speaker 4: they liked what went right, is extremely disappointing because our 1040 01:09:05,453 --> 01:09:07,853 Speaker 4: government and it seems I thought your government would be 1041 01:09:08,093 --> 01:09:13,453 Speaker 4: more open and more objective. Well, no, I think we did. 1042 01:09:13,493 --> 01:09:16,573 Speaker 4: We held our great hope for the New Zealand government. 1043 01:09:16,853 --> 01:09:17,933 Speaker 3: Yes, that's what I'm laughing at. 1044 01:09:18,653 --> 01:09:22,493 Speaker 4: Yeah, and I think you've let the team down a little. 1045 01:09:24,293 --> 01:09:29,773 Speaker 4: But you know, the inquiries we had were amazing. I 1046 01:09:29,893 --> 01:09:33,773 Speaker 4: knew some of the statisticians, for example, looking at excess deaths. 1047 01:09:34,373 --> 01:09:38,853 Speaker 4: The excess death business is seriously concerning. The Japanese have 1048 01:09:38,933 --> 01:09:41,533 Speaker 4: come out with They've done what no one else has 1049 01:09:41,533 --> 01:09:43,613 Speaker 4: been able to do, and that is look at excess 1050 01:09:43,653 --> 01:09:48,373 Speaker 4: deaths in the vaccinated versus the non vaccinator, and they 1051 01:09:48,413 --> 01:09:51,933 Speaker 4: show that the excess deaths is essentially confined to the 1052 01:09:52,053 --> 01:09:56,733 Speaker 4: vaccinated group. And there's a delay of several months, which 1053 01:09:56,773 --> 01:10:00,093 Speaker 4: means that the early studies looking at what's going on 1054 01:10:00,213 --> 01:10:03,813 Speaker 4: would miss the bulk of the excess deaths. And they 1055 01:10:03,853 --> 01:10:06,973 Speaker 4: looked at twenty one million people. You know this was 1056 01:10:07,013 --> 01:10:09,013 Speaker 4: not just a group of a up one hundred. 1057 01:10:10,213 --> 01:10:12,493 Speaker 3: This book takes up the story of the actual medical 1058 01:10:12,533 --> 01:10:17,293 Speaker 3: response to COVID nineteen in contrast to the plan. COVID 1059 01:10:17,413 --> 01:10:21,493 Speaker 3: in Australia is a narrative in fifteen stages. I just 1060 01:10:21,493 --> 01:10:26,573 Speaker 3: want to refer to stage number ten Australia's Therapeutic Goods Administration, 1061 01:10:27,013 --> 01:10:29,573 Speaker 3: the TGA, which we share with you. 1062 01:10:29,613 --> 01:10:32,853 Speaker 2: No, well you've got your own. They talk to each other. 1063 01:10:33,253 --> 01:10:38,413 Speaker 3: Well, I think the weight of numbers might win out anyway, 1064 01:10:38,613 --> 01:10:43,053 Speaker 3: fast tracked genetic vaccine approvals with scanty supporting data at 1065 01:10:43,093 --> 01:10:46,733 Speaker 3: every level. These vaccines have been used in medical practice 1066 01:10:46,813 --> 01:10:50,813 Speaker 3: and better fitted the definition of gene therapy than their 1067 01:10:50,853 --> 01:10:58,053 Speaker 3: classification as vaccines. But it was the the TGA and 1068 01:10:58,133 --> 01:11:02,173 Speaker 3: the genetic aspect of it that I wanted to I 1069 01:11:02,213 --> 01:11:04,213 Speaker 3: said I was going to finish on the last on 1070 01:11:04,253 --> 01:11:06,893 Speaker 3: the last point, but I want your opinion if you 1071 01:11:07,693 --> 01:11:10,413 Speaker 3: care to share it. If you have one with regard 1072 01:11:10,493 --> 01:11:13,053 Speaker 3: to what is going on here at the moment with 1073 01:11:13,173 --> 01:11:18,853 Speaker 3: the the therapeutic and genetic aspect of life. And the 1074 01:11:18,893 --> 01:11:22,453 Speaker 3: prime example I utilize is that they're doing away with 1075 01:11:23,213 --> 01:11:27,053 Speaker 3: the contents of a of whatever is in a can. 1076 01:11:27,093 --> 01:11:29,053 Speaker 3: You've got a can of beans. There's nothing to read 1077 01:11:29,213 --> 01:11:32,093 Speaker 3: on the back to tell you how it's come about, 1078 01:11:32,373 --> 01:11:36,413 Speaker 3: or detail about it or whether it's whether it's been 1079 01:11:36,733 --> 01:11:39,493 Speaker 3: fiddled with along the way. 1080 01:11:39,253 --> 01:11:42,973 Speaker 4: Why are they doing that, you tell me, I mean, 1081 01:11:42,973 --> 01:11:46,653 Speaker 4: that's extraordinary. I mean, I think we're we're moving into 1082 01:11:47,173 --> 01:11:54,053 Speaker 4: an era where subtle changes in preparation, subtle constituents put 1083 01:11:54,093 --> 01:11:59,213 Speaker 4: in can have a major health outcomes, and where I mean, 1084 01:11:59,253 --> 01:12:01,293 Speaker 4: I'm not an expert in the area, but you know, 1085 01:12:01,333 --> 01:12:05,733 Speaker 4: I recently went to a talk on some of these 1086 01:12:06,253 --> 01:12:08,893 Speaker 4: plastic materials that are in our water so applies, and 1087 01:12:08,933 --> 01:12:12,053 Speaker 4: no one has a clue what they do. There's no 1088 01:12:12,133 --> 01:12:16,293 Speaker 4: real evidence they do anything, but they might. I think 1089 01:12:16,333 --> 01:12:20,013 Speaker 4: that we're finding these things. If you don't identify what 1090 01:12:20,053 --> 01:12:25,173 Speaker 4: we're eating in cans and whatevers, we're never going to 1091 01:12:25,253 --> 01:12:29,053 Speaker 4: know any answers. It's a bit like not telling people 1092 01:12:29,093 --> 01:12:32,133 Speaker 4: that the vaccines a messenger RNA vaccine. What's the difference? 1093 01:12:32,493 --> 01:12:34,133 Speaker 4: Just say this is a vaccine for COVID. 1094 01:12:35,093 --> 01:12:38,533 Speaker 3: All right, So let me suggest there is a connection 1095 01:12:38,653 --> 01:12:44,053 Speaker 3: between the who what eliminating, the contents and the weather 1096 01:12:44,133 --> 01:12:46,973 Speaker 3: come from, etc. Inside a can of whatever it might 1097 01:12:47,013 --> 01:12:50,733 Speaker 3: be or a packet may have something to do with 1098 01:12:51,653 --> 01:12:53,653 Speaker 3: the World Economic Forum and their goal. 1099 01:12:55,573 --> 01:12:57,773 Speaker 2: I would not be all surprised. 1100 01:12:58,933 --> 01:13:01,173 Speaker 3: I'm not. I'm glad you said that, because I'm not 1101 01:13:01,213 --> 01:13:04,333 Speaker 3: saying it is I'm saying that the opportunity there is 1102 01:13:05,093 --> 01:13:07,373 Speaker 3: there to assume that it may well be. 1103 01:13:08,453 --> 01:13:11,293 Speaker 2: I wouldn't be at all surprised. I think it's consistent 1104 01:13:11,813 --> 01:13:18,053 Speaker 2: with the general thoughts in the area exactly. Very concerning 1105 01:13:19,133 --> 01:13:21,493 Speaker 2: last question, where do you go from here? 1106 01:13:22,093 --> 01:13:23,453 Speaker 3: You with your work? 1107 01:13:25,053 --> 01:13:31,213 Speaker 4: Well, I'm maybe four next week, so I'd like to 1108 01:13:31,253 --> 01:13:34,053 Speaker 4: think where we go. I'd like to think that if 1109 01:13:34,093 --> 01:13:38,253 Speaker 4: nothing else, I can. At a personal level, I am 1110 01:13:38,733 --> 01:13:42,573 Speaker 4: particularly concerned about people who have got vaccine messenger RNA 1111 01:13:42,693 --> 01:13:47,133 Speaker 4: vaccine damage. So I'm setting up a small clinic where 1112 01:13:47,173 --> 01:13:50,373 Speaker 4: I see such patients. But what I'm trying to do 1113 01:13:50,933 --> 01:13:54,533 Speaker 4: is set up a program that is easily transportable to 1114 01:13:54,573 --> 01:13:57,413 Speaker 4: the people who will see a lot more because We're 1115 01:13:57,413 --> 01:14:00,013 Speaker 4: making a huge difference in the outcomes by treating them 1116 01:14:00,013 --> 01:14:03,133 Speaker 4: with ivermectin. About sixty seventy percent of these people their 1117 01:14:03,133 --> 01:14:06,293 Speaker 4: life changes. In fact, last week I had an email 1118 01:14:06,453 --> 01:14:09,933 Speaker 4: from a patient complaining it'd had one week of I've 1119 01:14:10,093 --> 01:14:14,773 Speaker 4: met and the guy had terrible fatigue. He said, he said, 1120 01:14:14,813 --> 01:14:17,053 Speaker 4: I've been reborn. He said. My wife has asked me 1121 01:14:17,093 --> 01:14:19,053 Speaker 4: to go to the doctor because she thinks I've got 1122 01:14:19,453 --> 01:14:25,653 Speaker 4: mania because she hasn't seen me like this for so long. Now, 1123 01:14:25,693 --> 01:14:29,413 Speaker 4: that's an extraordinary outcome, But most of the patients are benefiting. 1124 01:14:29,453 --> 01:14:32,053 Speaker 4: And yet no one wants to treat basins this way 1125 01:14:32,133 --> 01:14:37,053 Speaker 4: because the drug's got such a bad name through what 1126 01:14:37,213 --> 01:14:44,013 Speaker 4: happened at a political and company level through covid. And 1127 01:14:44,093 --> 01:14:49,453 Speaker 4: yet it's the highest binding chemical to COVID spike protein 1128 01:14:49,533 --> 01:14:52,933 Speaker 4: that exists, and it's very effective. So at a personal level, 1129 01:14:52,933 --> 01:14:56,653 Speaker 4: that's what I'm going to do. At a more generic level, 1130 01:14:56,773 --> 01:15:00,293 Speaker 4: I'm hoping that a few other people can do what 1131 01:15:00,373 --> 01:15:04,053 Speaker 4: I've been doing and come from a basic science evidence 1132 01:15:04,133 --> 01:15:08,013 Speaker 4: viewpoint of new coasal iminology, which very few people seem 1133 01:15:08,093 --> 01:15:10,133 Speaker 4: to have that specialty interest. 1134 01:15:11,573 --> 01:15:14,253 Speaker 3: Well, there will be people who will be asking me, 1135 01:15:14,493 --> 01:15:18,453 Speaker 3: how do I find you? How do they do you have? 1136 01:15:18,893 --> 01:15:19,973 Speaker 3: Do you have any response? 1137 01:15:21,013 --> 01:15:24,373 Speaker 2: Look, I get emails from people every day at a 1138 01:15:24,413 --> 01:15:27,733 Speaker 2: half dozen, dozen, twenty. I can't answer them. I don't 1139 01:15:27,773 --> 01:15:30,493 Speaker 2: know what to say to these people because I've got it. 1140 01:15:30,613 --> 01:15:31,333 Speaker 2: You won't believe this. 1141 01:15:31,453 --> 01:15:34,253 Speaker 4: I've got someone from Canada coming out to see me 1142 01:15:35,213 --> 01:15:40,373 Speaker 4: because they cannot get with terrible post COVID vaccine damage, 1143 01:15:41,773 --> 01:15:45,933 Speaker 4: just total fatigue, total brain fog, and no one will 1144 01:15:45,973 --> 01:15:49,133 Speaker 4: treat them with I've emectin. So he's coming out to 1145 01:15:49,173 --> 01:15:51,373 Speaker 4: see me in Sydney. I said, don't do that's crazy, 1146 01:15:52,373 --> 01:15:58,493 Speaker 4: But that's how sad the situation is. I can't I'm 1147 01:15:58,573 --> 01:16:02,293 Speaker 4: only seeing eight people every second week now because I said, 1148 01:16:03,213 --> 01:16:06,413 Speaker 4: I've got other things to do. I'm trying to find 1149 01:16:06,493 --> 01:16:09,973 Speaker 4: other doctors that will do this. I'm talking with a 1150 01:16:10,013 --> 01:16:12,853 Speaker 4: couple of people at the moment, but they're dead scared. 1151 01:16:12,893 --> 01:16:15,253 Speaker 4: They don't want to prescribe even though it's totally legal 1152 01:16:15,773 --> 01:16:19,293 Speaker 4: iver mecten because they get banned. 1153 01:16:20,373 --> 01:16:21,493 Speaker 2: You know, there are people here. 1154 01:16:21,413 --> 01:16:24,413 Speaker 4: That haven't worked for four years because they legally prescribed 1155 01:16:24,453 --> 01:16:29,253 Speaker 4: iver mecton. Good GPS probably the same in New Zealand. 1156 01:16:29,373 --> 01:16:32,413 Speaker 3: Well, we've got doctor shortages here, that's the insanity of it. 1157 01:16:33,093 --> 01:16:35,733 Speaker 3: There are still people as far as I'm aware, who 1158 01:16:35,933 --> 01:16:40,093 Speaker 3: lost their lost their jobs, not just in the medical 1159 01:16:40,133 --> 01:16:45,293 Speaker 3: field but in others because they wouldn't they wouldn't be assaulted. 1160 01:16:46,253 --> 01:16:51,013 Speaker 3: And it's crazy when when there is a shortage of 1161 01:16:51,133 --> 01:16:53,773 Speaker 3: fireman for instance, just as an example. 1162 01:16:54,333 --> 01:16:57,893 Speaker 2: Yeah, well the current economy has probably sort that out 1163 01:16:57,933 --> 01:16:58,133 Speaker 2: a bit. 1164 01:16:59,133 --> 01:17:03,373 Speaker 3: Robert, it's been great talking with you, seriously enjoyable, entertaining 1165 01:17:03,693 --> 01:17:06,093 Speaker 3: and in places and informative. 1166 01:17:06,493 --> 01:17:09,293 Speaker 4: Well, it's been very nice from my perspective to talk 1167 01:17:09,373 --> 01:17:15,133 Speaker 4: to an Australian New Zealander trans Tasman. Trans Tasman it's 1168 01:17:15,173 --> 01:17:16,933 Speaker 4: the only trans we accept these days. 1169 01:17:17,813 --> 01:17:21,173 Speaker 3: So thank you and may we talk again sometime. 1170 01:17:21,533 --> 01:17:23,493 Speaker 2: It would be a great pleasure and nice talking to you. 1171 01:17:23,693 --> 01:17:38,693 Speaker 3: Laden Now into the mail room for podcast three hundred 1172 01:17:38,733 --> 01:17:42,173 Speaker 3: and eight, missus producer. It's a very early morning, yes, Latin. 1173 01:17:42,253 --> 01:17:44,373 Speaker 3: It is things to do, people to see and look 1174 01:17:44,413 --> 01:17:48,053 Speaker 3: what I've got, look at that and that? How long 1175 01:17:48,173 --> 01:17:48,293 Speaker 3: is that? 1176 01:17:48,533 --> 01:17:49,893 Speaker 5: I'll be back in ten minutes then. 1177 01:17:50,133 --> 01:17:51,733 Speaker 3: No, I'm not reading it yet, but I'm reading it 1178 01:17:51,893 --> 01:17:54,053 Speaker 3: in its entirety because it's interesting. 1179 01:17:54,293 --> 01:17:54,493 Speaker 4: Good. 1180 01:17:54,733 --> 01:17:58,493 Speaker 3: So first up from Malcolm and a very good, little 1181 01:17:58,693 --> 01:18:01,413 Speaker 3: little comment, but a very good one, Laton, isn't it 1182 01:18:01,573 --> 01:18:04,813 Speaker 3: time our university is concentrated on the real things that matter, 1183 01:18:05,453 --> 01:18:10,573 Speaker 3: decent teaching and appropriately focused research. So far is one 1184 01:18:10,653 --> 01:18:12,773 Speaker 3: hundred and ten out of one hundred. They have gone 1185 01:18:12,813 --> 01:18:15,213 Speaker 3: so woke these days. I am not proud of either 1186 01:18:15,573 --> 01:18:18,813 Speaker 3: Victoria University of Wellington or VUW as he puts it, 1187 01:18:19,413 --> 01:18:23,053 Speaker 3: or MASSI. I am a graduate of both and taught 1188 01:18:23,093 --> 01:18:26,853 Speaker 3: at MASSI for twenty five years, but I wouldn't want 1189 01:18:26,893 --> 01:18:30,453 Speaker 3: to be there now. That was from Malcolm Leyden. 1190 01:18:30,533 --> 01:18:33,693 Speaker 5: Vic says, with reference to podcast three oh seven and 1191 01:18:33,893 --> 01:18:38,053 Speaker 5: Steven's comment regarding Israel, Gaza and the West Bank, I 1192 01:18:38,173 --> 01:18:41,213 Speaker 5: totally agree with him. The two state solution is not 1193 01:18:41,333 --> 01:18:43,373 Speaker 5: the answer, and I have thought so for some many 1194 01:18:43,453 --> 01:18:46,773 Speaker 5: months now. The only real answer is for Israel to 1195 01:18:46,893 --> 01:18:49,453 Speaker 5: re annex the Gaza Strip and the West Bank, as 1196 01:18:49,613 --> 01:18:52,533 Speaker 5: was the original circumstance when the current state of Israel 1197 01:18:52,653 --> 01:18:55,693 Speaker 5: was set up in nineteen forty eight. The first and 1198 01:18:55,853 --> 01:18:59,453 Speaker 5: immediate Arab conflicts saw Jordan occupy the West Bank and 1199 01:18:59,813 --> 01:19:05,493 Speaker 5: Egypt occupy Gaza. Would it work? Asks Vic? With twenty 1200 01:19:05,573 --> 01:19:09,173 Speaker 5: one percent of Israel's current population being Arabic and very 1201 01:19:09,253 --> 01:19:11,973 Speaker 5: patriotic at that, why not they have all of the 1202 01:19:12,093 --> 01:19:15,053 Speaker 5: rights and freedoms one would expect in a democratic nation. 1203 01:19:15,693 --> 01:19:18,253 Speaker 5: They are so patriotic that some of them volunteer to 1204 01:19:18,333 --> 01:19:21,773 Speaker 5: join the IDF and some have served in Gaza. It 1205 01:19:21,893 --> 01:19:25,333 Speaker 5: would take a gradual and controlled assimilation, but would remove 1206 01:19:25,413 --> 01:19:29,413 Speaker 5: the current terrorist based from harmas just my humble opinion, 1207 01:19:29,493 --> 01:19:31,333 Speaker 5: but it was heartening to hear it from someone with 1208 01:19:31,453 --> 01:19:35,013 Speaker 5: such boots on the ground experience. Cheers, says Veck. 1209 01:19:35,133 --> 01:19:36,013 Speaker 4: Keep up the good work. 1210 01:19:36,093 --> 01:19:39,213 Speaker 3: I listen to all of your podcasts and I congratulate 1211 01:19:39,293 --> 01:19:43,373 Speaker 3: you on that this is the Actually, no, I'm going 1212 01:19:43,453 --> 01:19:46,093 Speaker 3: to save this because it's arguably the best one of 1213 01:19:46,133 --> 01:19:50,493 Speaker 3: all from my perspective from Rochelle. John Alcock has a 1214 01:19:50,573 --> 01:19:54,853 Speaker 3: Parliament petition. John Alcock was on the podcast twice last 1215 01:19:54,973 --> 01:20:00,413 Speaker 3: year talking about central bank digital currencies and bitcoin and 1216 01:20:00,613 --> 01:20:04,933 Speaker 3: everything and got a lot of interest. Anyway, petition reason. 1217 01:20:05,133 --> 01:20:08,973 Speaker 3: I believe that centralized digital IDs could in a tracking, 1218 01:20:09,493 --> 01:20:15,453 Speaker 3: profiling or data misuse, threatening privacy, freedom and resilience. In 1219 01:20:15,573 --> 01:20:19,173 Speaker 3: my opinion, an independent review should assess impacts under the 1220 01:20:19,213 --> 01:20:22,213 Speaker 3: Privacy Act of twenty twenty and the new Zealand Bill 1221 01:20:22,253 --> 01:20:26,373 Speaker 3: of brentech nineteen ninety Until then, I believe the government 1222 01:20:26,533 --> 01:20:30,533 Speaker 3: must pause any rollout or funding. And then also this 1223 01:20:30,893 --> 01:20:34,533 Speaker 3: well written article which I haven't seen, but media blog 1224 01:20:34,693 --> 01:20:38,293 Speaker 3: the BSA didn't go rogue when it went first. Okay, 1225 01:20:38,453 --> 01:20:40,493 Speaker 3: I'll have a look Laydon. 1226 01:20:40,653 --> 01:20:45,733 Speaker 5: Brian has written a very lengthy missive and it's a 1227 01:20:45,893 --> 01:20:48,173 Speaker 5: very good one too, so thank you Brian. I am 1228 01:20:48,253 --> 01:20:51,413 Speaker 5: going to edit it for our purposes. But we have 1229 01:20:51,533 --> 01:20:55,213 Speaker 5: both read this very good letter. After your podcast interview 1230 01:20:55,333 --> 01:20:58,413 Speaker 5: with Ambassador Roth from Israel, I felt urged to write 1231 01:20:58,413 --> 01:21:00,613 Speaker 5: to you, but now with a follow up on essentially 1232 01:21:00,693 --> 01:21:04,493 Speaker 5: the same topic by Nick Cata. You were absolutely correct 1233 01:21:04,533 --> 01:21:07,253 Speaker 5: in your comment to the ambassador that an understanding of 1234 01:21:07,373 --> 01:21:12,173 Speaker 5: the spiritual is advantageous in understanding the midd least. I 1235 01:21:12,333 --> 01:21:15,773 Speaker 5: was disappointed to hear the ambassador disagree, followed by what 1236 01:21:15,933 --> 01:21:20,013 Speaker 5: I felt were his uninspiring vague comments about hoping that 1237 01:21:20,093 --> 01:21:25,573 Speaker 5: the future will work out somehow, someway sometime. As western as, 1238 01:21:25,653 --> 01:21:28,893 Speaker 5: we live by codes and concepts which can be totally 1239 01:21:29,053 --> 01:21:32,613 Speaker 5: foreign to others. For instance, the concept of peace to 1240 01:21:32,773 --> 01:21:36,733 Speaker 5: a Westerner essentially means the abstinence of strife and war 1241 01:21:37,293 --> 01:21:42,293 Speaker 5: peace to a Muslim means something entirely different. And then 1242 01:21:42,373 --> 01:21:46,053 Speaker 5: he goes on to say Brian says foolish, ignorant Western 1243 01:21:46,213 --> 01:21:50,253 Speaker 5: politicians like Winston Peters by trying to impose a Western 1244 01:21:50,333 --> 01:21:54,573 Speaker 5: concept of a two state solution, Actually asking Muslims to 1245 01:21:54,773 --> 01:21:58,253 Speaker 5: deny their religion and declare their faith to be false 1246 01:21:58,813 --> 01:22:02,413 Speaker 5: to make any peace agreement with Israel is a death sentence. 1247 01:22:02,973 --> 01:22:06,813 Speaker 5: Think Annual Sadat of Egypt and King Hussein of Jordan. Yes, 1248 01:22:06,893 --> 01:22:10,533 Speaker 5: the Arafat was offered a Palestinian state but refused by 1249 01:22:10,613 --> 01:22:13,773 Speaker 5: choosing the all or nothing option by starting the Dafada. 1250 01:22:14,613 --> 01:22:17,933 Speaker 5: The concept of Israel and Palestinians living side by side 1251 01:22:18,093 --> 01:22:21,413 Speaker 5: in peace and security as two states for two people 1252 01:22:22,453 --> 01:22:25,893 Speaker 5: is trying to impose an unwanted Western fiction upon an 1253 01:22:25,973 --> 01:22:30,653 Speaker 5: Eastern culture. And Brian has more, but that'll be it 1254 01:22:30,773 --> 01:22:31,573 Speaker 5: for us. Thank you. 1255 01:22:31,693 --> 01:22:33,013 Speaker 3: Plus last line again. 1256 01:22:33,413 --> 01:22:37,053 Speaker 5: The concept of Israel and Palestinians living side by side 1257 01:22:37,133 --> 01:22:41,413 Speaker 5: and peace and security as two states for two peoples 1258 01:22:41,613 --> 01:22:45,213 Speaker 5: is trying to impose an unwanted Western fiction upon an 1259 01:22:45,293 --> 01:22:46,413 Speaker 5: Eastern culture. 1260 01:22:46,533 --> 01:22:50,093 Speaker 3: I think it's a good line. Dear Carolyn from Stephen, 1261 01:22:50,373 --> 01:22:52,493 Speaker 3: thank you for reading up my letter last week. Below 1262 01:22:52,613 --> 01:22:55,533 Speaker 3: is what I sent. I hope that you didn't get 1263 01:22:55,573 --> 01:22:58,373 Speaker 3: too much flak for reading it out, as I'm sure 1264 01:22:58,573 --> 01:23:01,773 Speaker 3: many will disagree with me. I appreciate that it was 1265 01:23:02,013 --> 01:23:05,493 Speaker 3: more an essay than a comment. However, I would like 1266 01:23:05,613 --> 01:23:09,093 Speaker 3: to emphasize that to make unification of Israel and the 1267 01:23:09,173 --> 01:23:16,293 Speaker 3: Palestinian territories work, the Palestinians must be afforded Maslow's hierarchy 1268 01:23:16,493 --> 01:23:20,253 Speaker 3: of needs. They need a better life under an inclusive 1269 01:23:20,373 --> 01:23:24,333 Speaker 3: democracy than they have under her mass Hamas is helping 1270 01:23:24,413 --> 01:23:27,133 Speaker 3: this process at the moment by showing their true covers 1271 01:23:27,173 --> 01:23:32,613 Speaker 3: by intimidating and subjugating those poor people and killing any dissenters. 1272 01:23:33,893 --> 01:23:37,453 Speaker 3: The other important aspect is to change the name of Israel, 1273 01:23:37,853 --> 01:23:41,093 Speaker 3: and I have suggested canaan As that goes back to 1274 01:23:41,253 --> 01:23:44,453 Speaker 3: a time when they all live together in that one place. 1275 01:23:45,613 --> 01:23:49,293 Speaker 3: Let them all be Canaanites again, to cut out any 1276 01:23:49,333 --> 01:23:53,173 Speaker 3: suggestion of superiority for any one group. Peace will only 1277 01:23:53,213 --> 01:23:56,493 Speaker 3: be achieved when it produces tangible benefits for all. Kindness 1278 01:23:56,533 --> 01:24:02,093 Speaker 3: Regards Stephen, Stephen, I sympathize to some degree with what 1279 01:24:02,253 --> 01:24:04,293 Speaker 3: you've said, but I can't agree with much of it. 1280 01:24:04,413 --> 01:24:08,253 Speaker 3: To be honest, there are underlying factors that simply will not. 1281 01:24:08,973 --> 01:24:15,253 Speaker 5: Die Leydon Mike says. I view TBN and two C 1282 01:24:15,733 --> 01:24:18,613 Speaker 5: and they are on YouTube, says Mike, So that two 1283 01:24:19,333 --> 01:24:20,413 Speaker 5: new sites, are they? 1284 01:24:21,053 --> 01:24:26,413 Speaker 3: No, they're the sites that he was watching live in Israel, 1285 01:24:26,813 --> 01:24:30,133 Speaker 3: right yes, and and Ghata okay. 1286 01:24:30,253 --> 01:24:32,773 Speaker 5: He says. TBN was started by a tank commander just 1287 01:24:32,853 --> 01:24:36,093 Speaker 5: after the war and Gaza started. He posted a short 1288 01:24:36,133 --> 01:24:39,493 Speaker 5: report every day and it has grown substantially since then. 1289 01:24:40,133 --> 01:24:43,693 Speaker 5: Two C reports on many incidents is unfolding in real 1290 01:24:43,853 --> 01:24:48,213 Speaker 5: time Gaza, UK, Pakistan, Iran and many more. So that's 1291 01:24:48,293 --> 01:24:50,653 Speaker 5: on YouTube if anybody wants to have a look. 1292 01:24:52,093 --> 01:24:55,093 Speaker 3: Now. The one that I mentioned that was very long 1293 01:24:56,973 --> 01:24:59,853 Speaker 3: has disappeared. Ah here it is. It's basically what my 1294 01:24:59,933 --> 01:25:02,133 Speaker 3: hands and arms do when I'm not paying attention. This 1295 01:25:02,333 --> 01:25:04,893 Speaker 3: is lengthy, but I want to read it all. Have 1296 01:25:05,013 --> 01:25:07,213 Speaker 3: you got things to do? I do, well, hang on. 1297 01:25:08,573 --> 01:25:10,893 Speaker 3: You can't just walk out, I can No, you can't. 1298 01:25:11,533 --> 01:25:14,733 Speaker 3: You can't. It's from Olivia. I've been an avid listened 1299 01:25:14,733 --> 01:25:17,093 Speaker 3: to your podcast for the past five years and always 1300 01:25:17,173 --> 01:25:20,693 Speaker 3: thoroughly enjoy each episode of the show. It's always a 1301 01:25:20,733 --> 01:25:23,853 Speaker 3: breath of fresh air to hear some common sense, and 1302 01:25:24,013 --> 01:25:25,973 Speaker 3: it restores a bit of hope in me to know 1303 01:25:26,453 --> 01:25:29,973 Speaker 3: that there are other sane individuals out there. So thank 1304 01:25:30,013 --> 01:25:32,613 Speaker 3: you for all your work and made the show long continue. 1305 01:25:33,493 --> 01:25:36,613 Speaker 3: Nick Cater is always a guest of particular interest to me, 1306 01:25:36,693 --> 01:25:38,653 Speaker 3: and especially this week, as you touched on a couple 1307 01:25:38,693 --> 01:25:42,453 Speaker 3: of topics that hit close to home. Almost eleven years ago, 1308 01:25:42,653 --> 01:25:45,293 Speaker 3: as a bright and bushy tailed twenty three year old, 1309 01:25:45,813 --> 01:25:48,373 Speaker 3: I left the shores of New Zealand for Australia and 1310 01:25:48,413 --> 01:25:51,813 Speaker 3: found myself in Melbourne, where I pursued further study. I'd 1311 01:25:51,853 --> 01:25:54,653 Speaker 3: spent no more than two days in the city before moving, 1312 01:25:55,253 --> 01:25:59,493 Speaker 3: so there was much to explore on arrival. At this time. 1313 01:25:59,653 --> 01:26:04,093 Speaker 3: I remember Melbourne as bright and vibrant, with amazing food, 1314 01:26:04,413 --> 01:26:07,613 Speaker 3: culture and sport. That's the Melbourne that I remember too. 1315 01:26:08,413 --> 01:26:11,253 Speaker 3: Petrol was only ninety cents a liter, oh please, and 1316 01:26:11,413 --> 01:26:14,773 Speaker 3: it was still commonplace for many, if not most, cafes 1317 01:26:14,813 --> 01:26:17,333 Speaker 3: and shops to have a minimum spend. To use your 1318 01:26:17,493 --> 01:26:21,173 Speaker 3: f postcard, you had to carry cash. Those days are 1319 01:26:21,253 --> 01:26:23,453 Speaker 3: long gone and you and Nick were on the money 1320 01:26:23,533 --> 01:26:26,333 Speaker 3: in describing Melbourne as a shell of its former self. 1321 01:26:26,613 --> 01:26:29,813 Speaker 3: I won't bother to go into the COVID lockdowns or 1322 01:26:29,893 --> 01:26:33,133 Speaker 3: Dan Andrews. We all know the destruction that time and 1323 01:26:33,333 --> 01:26:37,813 Speaker 3: man are responsible for today, or should that be that 1324 01:26:38,053 --> 01:26:41,933 Speaker 3: time and that man are responsible for today. The city 1325 01:26:42,093 --> 01:26:46,453 Speaker 3: is tired and run down, teeming with protesters, crime and homeless. 1326 01:26:46,733 --> 01:26:50,093 Speaker 3: The roads are full of potholes which reappear almost as 1327 01:26:50,173 --> 01:26:53,133 Speaker 3: soon as they're fixed. Works on the Westgate Tunnel and Freeway, 1328 01:26:53,173 --> 01:26:55,413 Speaker 3: which were supposed to be completed in twenty twenty two, 1329 01:26:55,413 --> 01:26:58,653 Speaker 3: are still ongoing and cause endless disruption to travel. The 1330 01:26:58,733 --> 01:27:01,733 Speaker 3: Metro train tunnel is much the same, and I couldn't 1331 01:27:01,773 --> 01:27:04,293 Speaker 3: tell you why, but whenever I need a train to 1332 01:27:04,333 --> 01:27:06,893 Speaker 3: the city, my line is not running. When I have 1333 01:27:07,013 --> 01:27:09,533 Speaker 3: the energy to raise any of this with friends, all 1334 01:27:09,613 --> 01:27:11,893 Speaker 3: of whom are on the left, they tell me how 1335 01:27:11,933 --> 01:27:15,253 Speaker 3: wonderful the food and hospitality industry are in Melbourne, and 1336 01:27:15,613 --> 01:27:19,293 Speaker 3: excitedly remind me that we're getting free public transport all 1337 01:27:19,333 --> 01:27:22,893 Speaker 3: summer long. There certainly are still great places to eat 1338 01:27:22,933 --> 01:27:26,133 Speaker 3: and drink and events going on, but my friends don't 1339 01:27:26,173 --> 01:27:29,693 Speaker 3: seem to realize that these don't set Melbourne apart anymore. 1340 01:27:30,533 --> 01:27:33,613 Speaker 3: There are plenty of cities who boast food, wine, culture, 1341 01:27:33,773 --> 01:27:36,733 Speaker 3: minus the crime and run down city. As for the 1342 01:27:36,813 --> 01:27:39,893 Speaker 3: free summer transport, I'm not sure where they think the 1343 01:27:39,973 --> 01:27:43,973 Speaker 3: money for this is coming from. And as doctors, lawyers, consultants, 1344 01:27:44,013 --> 01:27:46,773 Speaker 3: et cetera, I doubt very much whether they need the 1345 01:27:46,893 --> 01:27:50,893 Speaker 3: extra money in their account, especially because fair evading is 1346 01:27:51,053 --> 01:27:54,653 Speaker 3: the norm for many Melbournians. The commentary on mental health 1347 01:27:55,173 --> 01:27:57,973 Speaker 3: and what we do with the mentally unwell in Victoria 1348 01:27:58,093 --> 01:28:02,933 Speaker 3: also piqued by interest as I'm a practicing neuropsychologist. Here 1349 01:28:03,493 --> 01:28:05,613 Speaker 3: Nick was on the money when he pointed out that 1350 01:28:06,133 --> 01:28:09,533 Speaker 3: our definition of mental health has white. In my opinion, 1351 01:28:09,613 --> 01:28:12,933 Speaker 3: the public awareness campaigns for mental health over recent decades, 1352 01:28:13,013 --> 01:28:16,293 Speaker 3: both in New Zealand and Australia, have done more harm 1353 01:28:16,453 --> 01:28:22,733 Speaker 3: than good by pathologizing normal life experience today, particularly in 1354 01:28:22,893 --> 01:28:26,813 Speaker 3: my generation and younger millennials, et cetera. You have a 1355 01:28:26,933 --> 01:28:30,973 Speaker 3: bad day, week, month, and you have depression. You feel 1356 01:28:31,053 --> 01:28:34,533 Speaker 3: a bit uncertain in novel social situations and you have 1357 01:28:34,653 --> 01:28:38,493 Speaker 3: social anxiety, or you're constantly distracted by your phone lighting 1358 01:28:38,613 --> 01:28:42,333 Speaker 3: up and you have ADHD. No harm, though, Go to 1359 01:28:42,413 --> 01:28:45,773 Speaker 3: your GP, get your mental health care plan, and you 1360 01:28:45,933 --> 01:28:50,733 Speaker 3: get your ten government subsidized psychology sessions per year. As 1361 01:28:50,813 --> 01:28:53,413 Speaker 3: Nick pointed, out this does nothing for those with severe 1362 01:28:53,493 --> 01:28:57,613 Speaker 3: mental health issues, of whom there are many, and who 1363 01:28:57,693 --> 01:29:00,453 Speaker 3: are left to suffer. I could go on, but at 1364 01:29:00,453 --> 01:29:02,293 Speaker 3: the end of the day, the whole mental health system 1365 01:29:02,373 --> 01:29:07,173 Speaker 3: here and in New Zealand needs a complete overhaul. Sadly, though, 1366 01:29:07,373 --> 01:29:11,133 Speaker 3: my faith in the future of mental health treatment management 1367 01:29:11,173 --> 01:29:15,093 Speaker 3: in Australia is at an all time low. As I 1368 01:29:15,173 --> 01:29:18,653 Speaker 3: write this, the Psychology Board of Australia, at the direction 1369 01:29:18,973 --> 01:29:22,853 Speaker 3: of the Australian Government, are reviewing training pathways to become 1370 01:29:23,293 --> 01:29:26,933 Speaker 3: a psychologist, with their proposal being to lower the standards 1371 01:29:27,373 --> 01:29:31,813 Speaker 3: required to enter training programs and to cut course lengths. Well, 1372 01:29:31,893 --> 01:29:35,813 Speaker 3: that'll achieve a lot. At a minimum, it currently takes 1373 01:29:35,853 --> 01:29:39,093 Speaker 3: six years to study with a further two years of 1374 01:29:39,213 --> 01:29:43,493 Speaker 3: on the job supervision to be an endorsed psychologist in Australia. 1375 01:29:44,093 --> 01:29:47,613 Speaker 3: For many who pursue PhD study, like myself, it can 1376 01:29:47,693 --> 01:29:50,813 Speaker 3: take ten plus years of training. Now they're looking at 1377 01:29:50,853 --> 01:29:54,253 Speaker 3: four straight years out of school. I'm not sure about you, 1378 01:29:54,613 --> 01:29:56,133 Speaker 3: but the thought of sitting in front of a twenty 1379 01:29:56,173 --> 01:30:00,173 Speaker 3: two year old psychologist does not instill much confidence. I 1380 01:30:00,293 --> 01:30:04,173 Speaker 3: guess I shouldn't be surprised given the age of mediocrity 1381 01:30:04,413 --> 01:30:07,653 Speaker 3: in which we live, but I am deeply saddened at 1382 01:30:07,693 --> 01:30:10,533 Speaker 3: what the future hold for a profession. I love not 1383 01:30:10,693 --> 01:30:13,653 Speaker 3: to mention my concern for what that landscape of actual 1384 01:30:14,173 --> 01:30:16,933 Speaker 3: severe mental illness will look like in five to ten 1385 01:30:17,053 --> 01:30:21,253 Speaker 3: years time. And on that cheery note, I will leave 1386 01:30:21,293 --> 01:30:24,573 Speaker 3: it here for today. Thank you again for a great show, 1387 01:30:24,653 --> 01:30:27,253 Speaker 3: and wishing all the best yourself and missus producer kind 1388 01:30:27,333 --> 01:30:31,933 Speaker 3: regards Olivia. That wasn't that interesting? It really was Thanking again, Olivia. 1389 01:30:32,653 --> 01:30:35,733 Speaker 3: I hope and expect to hear from you again. 1390 01:30:36,373 --> 01:30:36,973 Speaker 2: Know you out. 1391 01:30:38,053 --> 01:30:41,373 Speaker 5: No I can furnish you with another one going to 1392 01:30:41,413 --> 01:30:43,373 Speaker 5: get from Robert hang on. 1393 01:30:43,413 --> 01:30:45,213 Speaker 3: I'm going to do the best one at last, right, 1394 01:30:45,493 --> 01:30:48,453 Speaker 3: But that's from my perspective after what I just read 1395 01:30:48,533 --> 01:30:50,013 Speaker 3: that it might be a competition. 1396 01:30:50,133 --> 01:30:52,893 Speaker 5: Okay, Robin says, greetings and good wishes, and join your 1397 01:30:52,973 --> 01:30:56,213 Speaker 5: podcast as excellent as they ever were. I have been 1398 01:30:56,333 --> 01:31:00,013 Speaker 5: hunting unsuccessfully for a podcast on education that you had 1399 01:31:00,053 --> 01:31:03,453 Speaker 5: with an educator, a woman whose name escapes me, and 1400 01:31:03,693 --> 01:31:07,893 Speaker 5: it was excellent. Detailed failure of our system is one 1401 01:31:07,933 --> 01:31:12,093 Speaker 5: of your other guests, did Owen Pool, I think, says Robin. 1402 01:31:12,893 --> 01:31:15,973 Speaker 5: I am in discussion with some who disregard the OECD 1403 01:31:16,213 --> 01:31:20,173 Speaker 5: ratings on how our literacy and numerousy skills have slipped. 1404 01:31:20,733 --> 01:31:23,773 Speaker 5: They dismiss out of hand the measures they use to 1405 01:31:23,853 --> 01:31:28,173 Speaker 5: create the ratings. Regardless, we know standards have slipped since 1406 01:31:28,213 --> 01:31:30,613 Speaker 5: the late seventies and early eighties. I just want to 1407 01:31:30,653 --> 01:31:34,093 Speaker 5: reacquaint myself with some data from some New Zealand educators. 1408 01:31:34,813 --> 01:31:38,613 Speaker 5: Can you please send me the relevant podcasts on education, 1409 01:31:38,893 --> 01:31:42,173 Speaker 5: especially the woman whose name escapes me I know, says 1410 01:31:42,253 --> 01:31:45,373 Speaker 5: Robin that that is a tall order. H yeah, and 1411 01:31:45,533 --> 01:31:46,893 Speaker 5: it's a tall order for you too late. 1412 01:31:46,973 --> 01:31:49,093 Speaker 3: And isn't it Manisha Granula? 1413 01:31:49,293 --> 01:31:49,453 Speaker 4: Oh? 1414 01:31:50,333 --> 01:31:53,533 Speaker 3: I didn't expect that. Manisha Granula. We did her last 1415 01:31:53,613 --> 01:31:57,253 Speaker 3: year in I think it was May in podcast two 1416 01:31:57,333 --> 01:31:57,813 Speaker 3: forty one. 1417 01:31:58,613 --> 01:31:58,893 Speaker 4: There you go. 1418 01:31:59,533 --> 01:32:00,253 Speaker 2: What can I say? 1419 01:32:01,093 --> 01:32:07,653 Speaker 3: Sorry now finally and you can judge which look, this 1420 01:32:07,973 --> 01:32:10,693 Speaker 3: is a different sort of approach, but it's a great 1421 01:32:10,773 --> 01:32:13,893 Speaker 3: letter for me anyway. Comes from Paul. I was in 1422 01:32:14,053 --> 01:32:17,773 Speaker 3: our local small supermarket to day and why Malkou When 1423 01:32:17,813 --> 01:32:21,253 Speaker 3: the lady ahead of me paid with cash, I said, 1424 01:32:21,293 --> 01:32:23,733 Speaker 3: it's nice to see some real money for a change, 1425 01:32:23,773 --> 01:32:25,773 Speaker 3: and the lady peeled off two hundred and fifty plus 1426 01:32:25,893 --> 01:32:29,693 Speaker 3: dollars cash to pay for her groceries, suffice to say, 1427 01:32:29,733 --> 01:32:31,293 Speaker 3: you don't get much for your money in this day 1428 01:32:31,293 --> 01:32:34,933 Speaker 3: and age. Thereafter, the cashier told me, oh, half the 1429 01:32:34,973 --> 01:32:38,133 Speaker 3: people pay with cash, which caught me off guard. Gives 1430 01:32:38,173 --> 01:32:40,373 Speaker 3: me a lot of hope with the whole c b 1431 01:32:40,613 --> 01:32:45,333 Speaker 3: DC's concept being pushed. I was quite taken aback, surprised, 1432 01:32:45,733 --> 01:32:49,893 Speaker 3: and maybe she had it a wee bit wrong. The 1433 01:32:49,973 --> 01:32:54,013 Speaker 3: percentages perhaps a little skewed, but it felt very encouraging 1434 01:32:54,093 --> 01:32:55,893 Speaker 3: to know a lot of people out there are walking 1435 01:32:55,973 --> 01:32:59,213 Speaker 3: around with cash in their pockets. Quite remarkable. It takes 1436 01:32:59,253 --> 01:33:01,533 Speaker 3: me back to a time when the narrative suggested a 1437 01:33:01,693 --> 01:33:07,253 Speaker 3: very small, fringe extreme group didn't support the mandates, the lockdowns, 1438 01:33:07,293 --> 01:33:10,493 Speaker 3: et cetera, when at the time I suspected it was 1439 01:33:10,533 --> 01:33:13,573 Speaker 3: a much larger group than what was being reported. Again, 1440 01:33:13,813 --> 01:33:15,973 Speaker 3: I feel like there are a lot more of us 1441 01:33:16,053 --> 01:33:18,893 Speaker 3: awake than it appears. And I'm complete and I completely 1442 01:33:19,013 --> 01:33:23,733 Speaker 3: understand some hesitant response from people who are only slowly 1443 01:33:23,893 --> 01:33:27,493 Speaker 3: coming to terms with how screwed up our world really is. 1444 01:33:27,933 --> 01:33:30,973 Speaker 3: Thank you again so much for everything you both do. No, no, 1445 01:33:31,253 --> 01:33:36,173 Speaker 3: thank you, he's replaying what he's doing. I'm still not 1446 01:33:36,293 --> 01:33:39,053 Speaker 3: sure how you get Away with It, possibly the only 1447 01:33:39,213 --> 01:33:42,573 Speaker 3: truth podcast in New Zealand full stop, and it is 1448 01:33:42,693 --> 01:33:48,053 Speaker 3: still being run by a so called mainstream organization. How 1449 01:33:48,093 --> 01:33:51,453 Speaker 3: do you get away with it? Oh? May you continue? 1450 01:33:51,573 --> 01:33:54,093 Speaker 3: And as I sip my chiraz, one can only assume 1451 01:33:54,453 --> 01:33:57,573 Speaker 3: that somewhere up in the organization there are a couple 1452 01:33:57,693 --> 01:34:05,173 Speaker 3: of hopefully more level headed individuals. Paul, thank you. And 1453 01:34:05,813 --> 01:34:08,053 Speaker 3: I have noticed that there appears to be more people 1454 01:34:08,053 --> 01:34:11,453 Speaker 3: who are who making sure they've got cash in their pocket, wallet, 1455 01:34:12,493 --> 01:34:15,093 Speaker 3: on their Wise card or whatever. No Wise cards not 1456 01:34:15,133 --> 01:34:18,213 Speaker 3: a cash thing, is it? But we took wise cards 1457 01:34:18,253 --> 01:34:20,933 Speaker 3: away to Europe for the first time. I think this 1458 01:34:21,893 --> 01:34:24,973 Speaker 3: last year. No it wasn't. That was previous time, years ago. 1459 01:34:25,613 --> 01:34:27,813 Speaker 5: No, I've done it three times. 1460 01:34:28,533 --> 01:34:31,413 Speaker 3: Well, only got convinced to do it. I think last 1461 01:34:31,493 --> 01:34:34,853 Speaker 3: year maybe it was last year actually, but this year 1462 01:34:34,933 --> 01:34:38,693 Speaker 3: was the first year I fully utilized it. And there 1463 01:34:38,733 --> 01:34:40,893 Speaker 3: we have it. See you next week you will later. 1464 01:34:41,053 --> 01:35:00,133 Speaker 3: Thank you, thank you now, if you would like to correspond, 1465 01:35:00,293 --> 01:35:02,893 Speaker 3: we would love to hear from you. Don't forget the address. 1466 01:35:03,133 --> 01:35:05,453 Speaker 3: Latent at Newstalks at me dot co dot and said, 1467 01:35:05,533 --> 01:35:09,773 Speaker 3: and Carolyn C. A O l y n at NEWSTALKZB 1468 01:35:09,893 --> 01:35:13,533 Speaker 3: dot co dot NZ. As I say, on the odd occasion, 1469 01:35:13,573 --> 01:35:17,173 Speaker 3: send the compliments to me please, and the complaints to her. 1470 01:35:17,773 --> 01:35:20,093 Speaker 3: And there is plenty you can write on. It doesn't 1471 01:35:20,133 --> 01:35:22,373 Speaker 3: have to be on whatever it is that we're talking 1472 01:35:22,373 --> 01:35:25,053 Speaker 3: about week in week out. You can write on whatever 1473 01:35:25,133 --> 01:35:27,453 Speaker 3: you want. Then if it's if it's good enough, it'll 1474 01:35:27,493 --> 01:35:31,453 Speaker 3: get it'll get utilized, and on most of it is, 1475 01:35:32,093 --> 01:35:35,573 Speaker 3: and we might even follow up on something. The other 1476 01:35:35,653 --> 01:35:39,253 Speaker 3: thing to mention is that the video that I was 1477 01:35:39,333 --> 01:35:42,493 Speaker 3: talking about that I watched on the morning of the 1478 01:35:42,693 --> 01:35:48,013 Speaker 3: interview was dark Horse, and I reckon it's it's worthy 1479 01:35:48,053 --> 01:35:52,173 Speaker 3: of investing a little time you can. You can hide 1480 01:35:52,173 --> 01:35:54,533 Speaker 3: it very easily, take a look at it, and that 1481 01:35:54,613 --> 01:35:57,213 Speaker 3: will take us out for podcast number three hundred and eight. 1482 01:35:57,653 --> 01:36:00,373 Speaker 3: We shall return, of course, with three hundred and nine. 1483 01:36:00,773 --> 01:36:04,493 Speaker 3: Until then, thank you for listening and we'll talk soon. 1484 01:36:12,413 --> 01:36:16,013 Speaker 1: Thank you for more from Used Talks at b Listen 1485 01:36:16,133 --> 01:36:19,013 Speaker 1: live on air or online, and keep our shows with 1486 01:36:19,173 --> 01:36:22,293 Speaker 1: you wherever you go with our podcasts on iHeartRadio