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 00:00:16,693 --> 00:00:19,733 Speaker 1: It's time for all the attitude, all the opinion, all 4 00:00:19,773 --> 00:00:24,293 Speaker 1: the information, all the debates of the US Now the 5 00:00:24,453 --> 00:00:27,653 Speaker 1: Leyton Smith Podcast powered by news talks it B. 6 00:00:28,173 --> 00:00:31,853 Speaker 2: Welcome to podcasts two ninety two for June nine, twenty 7 00:00:31,893 --> 00:00:34,813 Speaker 2: twenty five. Let me take you back to podcast one 8 00:00:34,853 --> 00:00:38,013 Speaker 2: oh five April twenty twenty one. It was one of 9 00:00:38,053 --> 00:00:40,973 Speaker 2: the best that we've done. Maybe at that point it 10 00:00:41,173 --> 00:00:44,173 Speaker 2: was the best. It's still one of the most inspiring. 11 00:00:44,613 --> 00:00:48,493 Speaker 2: Take Away from Northland, New Zealand. Born in poverty, you 12 00:00:48,613 --> 00:00:52,013 Speaker 2: might say, who led a most interesting life, carving for 13 00:00:52,093 --> 00:00:55,253 Speaker 2: himself a career ending as a professor of medicine of 14 00:00:55,293 --> 00:00:59,733 Speaker 2: the highest order, with abilities in multiple fields, his talent 15 00:01:00,093 --> 00:01:02,813 Speaker 2: in much demand. One I five was the first of 16 00:01:02,853 --> 00:01:06,653 Speaker 2: my interviews with Professor Des Gorman. As the date indicates, 17 00:01:07,053 --> 00:01:10,813 Speaker 2: the pretext was COVID nineteen. But it was also a 18 00:01:10,853 --> 00:01:15,693 Speaker 2: discussion inclusive of so many things, some politics, for example, 19 00:01:15,733 --> 00:01:21,653 Speaker 2: the inadequacy of the administration, health reform, understanding human nature, 20 00:01:21,733 --> 00:01:26,413 Speaker 2: confirmation bias, the World Health Organization. He wasn't keen the 21 00:01:26,693 --> 00:01:31,573 Speaker 2: country's inadequate leadership and the media, and it was an 22 00:01:31,733 --> 00:01:35,893 Speaker 2: education in governance. In sixty five minutes one oh five 23 00:01:36,133 --> 00:01:38,973 Speaker 2: was and still is, the only interview that stood on 24 00:01:39,013 --> 00:01:42,893 Speaker 2: its own, nothing else but Dez Gorman. We both enjoyed it. 25 00:01:42,973 --> 00:01:45,693 Speaker 2: We agreed on that and followed it with a lunch, 26 00:01:46,173 --> 00:01:50,853 Speaker 2: and that led to more of the same. A week ago, 27 00:01:51,253 --> 00:01:55,693 Speaker 2: on July second, Dez died at the age of seventy one. 28 00:01:56,133 --> 00:01:59,973 Speaker 2: It wasn't unexpected, but was incredibly sad, and he was 29 00:02:00,013 --> 00:02:03,173 Speaker 2: way too young. This morning I listened to the full 30 00:02:03,293 --> 00:02:07,413 Speaker 2: discussion and I'd forgotten how good it was, and it 31 00:02:07,453 --> 00:02:10,453 Speaker 2: was good because of des Gorman. I hope it gets 32 00:02:10,493 --> 00:02:14,493 Speaker 2: shared and played relentlessly, so pass it on. There's plenty 33 00:02:14,493 --> 00:02:17,253 Speaker 2: more I'd like to say, but it's all in the 34 00:02:17,373 --> 00:02:20,373 Speaker 2: interview that you're about to hear at The next sixty 35 00:02:20,413 --> 00:02:25,373 Speaker 2: five minutes is a tribute to Professor des Gorman. 36 00:02:34,973 --> 00:02:35,733 Speaker 3: Layton Smith. 37 00:02:36,973 --> 00:02:39,773 Speaker 2: Des Gorman is a professor of medicine in the Faculty 38 00:02:39,813 --> 00:02:42,333 Speaker 2: of Medical and Health Sciences at the University of Auckland. 39 00:02:42,573 --> 00:02:45,773 Speaker 2: From two thousand and five to twenty ten, he was 40 00:02:45,853 --> 00:02:49,053 Speaker 2: head of the University School of Medicine, He's also a 41 00:02:49,053 --> 00:02:52,173 Speaker 2: member of the teaching faculty at Monash University in Melbourne, 42 00:02:52,453 --> 00:02:57,253 Speaker 2: Harvard Macy Institute at Harvard University, and he has more 43 00:02:57,293 --> 00:03:00,733 Speaker 2: qualifications than most people I've ever known. He has a 44 00:03:00,773 --> 00:03:04,053 Speaker 2: Bachelor of Science, a Bachelor of Medicine and of Surgery, 45 00:03:04,213 --> 00:03:07,413 Speaker 2: and Doctor of Medicine, those degrees from the University of Auckland, 46 00:03:07,813 --> 00:03:10,933 Speaker 2: as well as a doctorate in Philosophy from the University 47 00:03:10,933 --> 00:03:14,213 Speaker 2: of Sydney. During his undergraduate education at the University of Auckland, 48 00:03:14,253 --> 00:03:18,213 Speaker 2: he was awarded the W. W. Phillips Scholarship, the Sir 49 00:03:18,293 --> 00:03:22,333 Speaker 2: Garrick Robertson Prize for Surgery, and a Senior University Prize 50 00:03:22,333 --> 00:03:26,853 Speaker 2: in Medicine and Human Biology. His two doctorates were awarded 51 00:03:26,933 --> 00:03:31,173 Speaker 2: for in vivo research into embolic brain injuries that was 52 00:03:31,173 --> 00:03:36,013 Speaker 2: from the University of Sydney and brain pathophysiology from the 53 00:03:36,133 --> 00:03:40,213 Speaker 2: University of Auckland. Professor Gorman is clinically active in both 54 00:03:40,293 --> 00:03:44,573 Speaker 2: public consultant physician to the Widermata District Health Board and 55 00:03:44,653 --> 00:03:47,853 Speaker 2: to the Royal New Zealand Navy and private practice Gorman 56 00:03:47,893 --> 00:03:51,333 Speaker 2: Health Services. He founded the twenty four hour divers Emergency 57 00:03:51,493 --> 00:03:54,653 Speaker 2: Service in Australia, New Zealand, in the South Pacific and 58 00:03:54,773 --> 00:03:57,933 Speaker 2: for the Royal Australasian College of Physicians. He was awarded 59 00:03:57,973 --> 00:04:02,533 Speaker 2: a fellowship by the RACP in Occupational Medicine and has 60 00:04:02,573 --> 00:04:05,573 Speaker 2: had many leadership roles for the College. Professor Gorman has 61 00:04:05,613 --> 00:04:09,333 Speaker 2: more than three hundred publications and ongoing act Medical Journal 62 00:04:09,733 --> 00:04:14,973 Speaker 2: editorial roles. Among his many national and international invited keynote 63 00:04:14,973 --> 00:04:18,293 Speaker 2: and plenary presentations, he is a recipient of the Nordmeya 64 00:04:18,373 --> 00:04:22,933 Speaker 2: Memorial Lecture Medal, the Vernon Collins Memorial Oration Medal and 65 00:04:23,093 --> 00:04:26,453 Speaker 2: the Cultural Memorial Oration And quite frankly, there's too many 66 00:04:26,493 --> 00:04:29,333 Speaker 2: of these things to go into, but briefly in other roles, 67 00:04:29,373 --> 00:04:33,333 Speaker 2: he in addition to commissions from the World Health Organization 68 00:04:33,413 --> 00:04:37,693 Speaker 2: and government health system consultancies outside New Zealand, they include 69 00:04:37,693 --> 00:04:41,813 Speaker 2: by the Way, Australia, Southeast Asia and Western Pacific, China, Canada, 70 00:04:42,213 --> 00:04:45,733 Speaker 2: Middle East, the UK and the USA. But he's also 71 00:04:45,893 --> 00:04:48,813 Speaker 2: consulted to or leed programs in New Zealand for the 72 00:04:48,813 --> 00:04:52,773 Speaker 2: Civil Aviation Authority, District Health Boards New Zealand and the 73 00:04:52,813 --> 00:04:56,133 Speaker 2: Department of Veteran Affairs. His current roles include a number 74 00:04:56,173 --> 00:04:59,893 Speaker 2: of national and international commercial consultancies. And here is something 75 00:04:59,893 --> 00:05:03,813 Speaker 2: that I find fascinating. Professor Gorman served in both the 76 00:05:03,893 --> 00:05:07,213 Speaker 2: Royal Australian Navy, where he was awarded the Peter Mitchell 77 00:05:07,253 --> 00:05:11,013 Speaker 2: Prize for the Royal Australian Navy Officer of the Year 78 00:05:11,013 --> 00:05:14,253 Speaker 2: in nineteen eighty four, had awarded the Herbert Lot Award 79 00:05:14,333 --> 00:05:17,173 Speaker 2: for Ducks of the Royal Navy Submarine Officer's Course in 80 00:05:17,213 --> 00:05:20,213 Speaker 2: nineteen eighty two, and the Royal New Zealand Navy. During 81 00:05:20,213 --> 00:05:23,653 Speaker 2: his service in the RAN he trained as a submarine 82 00:05:23,693 --> 00:05:29,693 Speaker 2: officer and as a clearance diving officer. So having said 83 00:05:29,813 --> 00:05:33,573 Speaker 2: all that, Professor, let me quote you something from an 84 00:05:33,653 --> 00:05:36,613 Speaker 2: article thirty April last year in the New Zealand Herald 85 00:05:36,613 --> 00:05:39,693 Speaker 2: by Audrey Young. New Zealand was ill prepared for the 86 00:05:39,733 --> 00:05:42,893 Speaker 2: COVID nineteen pandemic and was caught with its pants down. 87 00:05:44,253 --> 00:05:49,253 Speaker 2: Leading academic Professor Des Gorman has told the Epidemic Response 88 00:05:49,253 --> 00:05:52,053 Speaker 2: Committee New Zealand should have closed this borders in mid February, 89 00:05:52,093 --> 00:05:53,853 Speaker 2: not at the end of March, but it didn't have 90 00:05:53,933 --> 00:05:57,533 Speaker 2: the resources to do. So what's happened or what might 91 00:05:57,533 --> 00:06:02,773 Speaker 2: have happened to rearrange your approach that you had then 92 00:06:03,533 --> 00:06:05,973 Speaker 2: to Now that's a very good question. 93 00:06:06,053 --> 00:06:08,893 Speaker 3: I'll stand by the statement that we were with our 94 00:06:09,253 --> 00:06:12,373 Speaker 3: pants down. We knew we weren't ready. Our public health 95 00:06:12,493 --> 00:06:16,253 Speaker 3: units had been systematically underfunded for decades. And the reason 96 00:06:16,293 --> 00:06:17,973 Speaker 3: why I know that so well as we tried to 97 00:06:18,013 --> 00:06:20,933 Speaker 3: ship funds to them when I was on the National 98 00:06:20,933 --> 00:06:23,653 Speaker 3: Health Board and running Health Workforce New Zealand. And it 99 00:06:23,733 --> 00:06:26,413 Speaker 3: comes a great surprise to your listeners to find out 100 00:06:26,733 --> 00:06:29,173 Speaker 3: we were actively opposed by the Ministry of Health. He 101 00:06:29,293 --> 00:06:32,293 Speaker 3: was trying to capture our budget. We got no support 102 00:06:32,293 --> 00:06:34,813 Speaker 3: from the DHBs, who simply wanted the money given to 103 00:06:34,853 --> 00:06:38,013 Speaker 3: them as a bottom line right off of their operating losses. 104 00:06:38,573 --> 00:06:41,413 Speaker 3: And once my colleagues and the medical craft Gilds got 105 00:06:41,413 --> 00:06:43,613 Speaker 3: wind of the fact it was a zero sum game. 106 00:06:44,173 --> 00:06:46,373 Speaker 3: Some more money for public health meant more or less 107 00:06:46,373 --> 00:06:49,013 Speaker 3: money for them, they opposed it as well. So we 108 00:06:49,053 --> 00:06:51,653 Speaker 3: went into the pandemic with public health units that had 109 00:06:51,653 --> 00:06:54,693 Speaker 3: failed to address the meals outbreak, failed to address an 110 00:06:54,693 --> 00:06:59,173 Speaker 3: influenza outbroke, and failed around Contamina Water and Havelock North. 111 00:06:59,773 --> 00:07:04,133 Speaker 3: Our health system is in a very parless state. The 112 00:07:04,213 --> 00:07:07,373 Speaker 3: idea that we could actually accommodate something like COVID with 113 00:07:07,493 --> 00:07:10,933 Speaker 3: spare capacity as ludicrous as people are aware now, our 114 00:07:11,213 --> 00:07:14,973 Speaker 3: hospital systems overrun at the moment. So what spare capacity 115 00:07:15,013 --> 00:07:18,573 Speaker 3: is there for COVID patients ounce is none. We have 116 00:07:18,733 --> 00:07:22,253 Speaker 3: only we only had one third of the ventilators per 117 00:07:22,333 --> 00:07:27,533 Speaker 3: capita compared to Australia. We had short falls intensive care workforce. 118 00:07:27,613 --> 00:07:29,293 Speaker 3: For the only thing we had going for us was 119 00:07:29,333 --> 00:07:32,573 Speaker 3: our geography, and in two thousand and six there was 120 00:07:32,613 --> 00:07:36,813 Speaker 3: a plan to produce a plan which identified that, but 121 00:07:36,853 --> 00:07:42,893 Speaker 3: we had no pandemic plan. When I returned back from 122 00:07:43,693 --> 00:07:45,813 Speaker 3: the Middle East where i'd been working at Amman, because 123 00:07:45,813 --> 00:07:48,773 Speaker 3: I'd chair the Minister of Health Strategic Council there, I 124 00:07:48,853 --> 00:07:51,293 Speaker 3: knew what they were doing to gear up the pandemic. 125 00:07:51,333 --> 00:07:53,653 Speaker 3: I stopped off in Singapore, so I'd been with the 126 00:07:53,733 --> 00:07:55,933 Speaker 3: National Health Group in Singapore the year before. They were 127 00:07:55,973 --> 00:07:58,213 Speaker 3: getting ready and I came home late and it was 128 00:07:58,253 --> 00:08:02,373 Speaker 3: like coming back to a backyard barbecue, just this almost 129 00:08:02,453 --> 00:08:06,973 Speaker 3: spectacular casual indifference. And so I've been meeting regularly with 130 00:08:07,053 --> 00:08:10,693 Speaker 3: our Minister of Health up until COVID, in my recommendation, 131 00:08:10,773 --> 00:08:13,893 Speaker 3: has closed the border. Now sought out the logistics and 132 00:08:13,933 --> 00:08:17,893 Speaker 3: then let's get underway with proper pandemic management. But the 133 00:08:17,933 --> 00:08:20,013 Speaker 3: response was what do we do with all the people 134 00:08:20,053 --> 00:08:22,773 Speaker 3: coming home? And what about tourism and what about trade? 135 00:08:22,813 --> 00:08:27,293 Speaker 3: And the World Health Organization is still arguing against travel bands. 136 00:08:27,333 --> 00:08:29,613 Speaker 3: But by the way, I'm not a great fan of 137 00:08:29,653 --> 00:08:33,373 Speaker 3: Donald Trump, but his criticism of the WHO was absolutely 138 00:08:33,413 --> 00:08:36,933 Speaker 3: on the money in this regard. So, you know, eventually 139 00:08:36,973 --> 00:08:40,613 Speaker 3: the WHO got around to declaring a pandemic from the 140 00:08:40,613 --> 00:08:42,893 Speaker 3: twelfth of March, it still took us a week to 141 00:08:42,933 --> 00:08:45,053 Speaker 3: close our border. We didn't close the border until the 142 00:08:45,133 --> 00:08:48,773 Speaker 3: nineteenth March. And in that week between when the WHO 143 00:08:48,973 --> 00:08:51,813 Speaker 3: finally moved and when we moved, forty percent of all 144 00:08:51,853 --> 00:08:55,493 Speaker 3: the viral subtypes in our first lockdown were walked into 145 00:08:55,533 --> 00:08:58,973 Speaker 3: the country. So have I changed my mind about our 146 00:08:59,293 --> 00:09:00,693 Speaker 3: ill preparedness know anything? 147 00:09:00,733 --> 00:09:03,413 Speaker 2: But so here's what I think is an interesting question. 148 00:09:03,493 --> 00:09:06,253 Speaker 2: Why is it that five million odd, well four and 149 00:09:06,293 --> 00:09:08,973 Speaker 2: a half million, apparently four and a half million people 150 00:09:08,973 --> 00:09:11,853 Speaker 2: think that the government and the Prime Minister in particular 151 00:09:11,893 --> 00:09:12,933 Speaker 2: have done a wonderful job. 152 00:09:13,733 --> 00:09:19,413 Speaker 3: Yeah, it's interesting, probably best described in sort of behavioral terms. 153 00:09:19,453 --> 00:09:23,773 Speaker 3: We were frightened. We had that ridiculous modeling of just 154 00:09:23,853 --> 00:09:26,213 Speaker 3: over a year ago that there'd be tens of thousands 155 00:09:26,293 --> 00:09:28,853 Speaker 3: of deaths. The reason why I call it ridiculous is 156 00:09:28,893 --> 00:09:30,933 Speaker 3: where was the data to feed into the model. I mean, 157 00:09:31,533 --> 00:09:34,013 Speaker 3: the pandemic was in its infancy. Where on Earth did 158 00:09:34,053 --> 00:09:37,413 Speaker 3: that data come from? But it was sufficiently frightened that 159 00:09:37,453 --> 00:09:40,813 Speaker 3: we headed off to the supermarkets, bought our body weight 160 00:09:41,053 --> 00:09:44,613 Speaker 3: in toilet paper, and headed home to our arks to 161 00:09:44,653 --> 00:09:48,453 Speaker 3: wait out the flood. And in doing so, we left 162 00:09:48,493 --> 00:09:51,933 Speaker 3: behind us people to die in hospitals and women to 163 00:09:51,933 --> 00:09:54,613 Speaker 3: be alone after they gave birth. So given a sufficiently 164 00:09:54,733 --> 00:10:01,773 Speaker 3: large scare, we accepted authoritarian in humanity. I mean, if 165 00:10:01,813 --> 00:10:03,653 Speaker 3: I'd said to you a few years ago, they'd given 166 00:10:03,693 --> 00:10:07,773 Speaker 3: an appropriate scare about a respiratory virus, we'd require people 167 00:10:07,813 --> 00:10:09,853 Speaker 3: to die loan and women would be alone after they 168 00:10:09,893 --> 00:10:12,173 Speaker 3: gave birth. You'd say, that's not us. Well, it was us. 169 00:10:12,613 --> 00:10:16,893 Speaker 3: That's that's how we behave. But that fear, and that 170 00:10:16,973 --> 00:10:21,533 Speaker 3: culture of fear has persisted laden the whole political theater 171 00:10:21,613 --> 00:10:24,893 Speaker 3: of levels announcements. The way we're managing the pandemic is 172 00:10:24,933 --> 00:10:29,333 Speaker 3: a black box management rather than an open book. Management 173 00:10:29,933 --> 00:10:33,893 Speaker 3: generates fear, and when we become frightened, we become anxious, 174 00:10:34,253 --> 00:10:37,613 Speaker 3: and we manage our anxiety by faith and establishment figures 175 00:10:37,653 --> 00:10:42,013 Speaker 3: and in authority, and in that context we have placed 176 00:10:42,013 --> 00:10:44,893 Speaker 3: our faith in the Director Journal of Health, and in 177 00:10:44,933 --> 00:10:47,333 Speaker 3: the Prime Minister and in the government. And then the 178 00:10:47,373 --> 00:10:51,693 Speaker 3: behaviorism is that once we have put our faith into establishment, 179 00:10:51,973 --> 00:10:55,013 Speaker 3: we endow it. And it's called endowment theory. We're endow 180 00:10:55,533 --> 00:10:58,413 Speaker 3: our thoughts or the things we owd with more value 181 00:10:58,413 --> 00:11:01,133 Speaker 3: than they are worth. So we've endowed that thought and 182 00:11:01,173 --> 00:11:04,333 Speaker 3: then long comes confirmation by us, so that anything that 183 00:11:04,413 --> 00:11:07,293 Speaker 3: doesn't fit with our endowment we ignore. Anything that does 184 00:11:07,333 --> 00:11:10,413 Speaker 3: fit with our endowment we accept. And that's how you 185 00:11:10,493 --> 00:11:14,973 Speaker 3: get fringe groups like the anti the anti vaccination people 186 00:11:15,013 --> 00:11:18,813 Speaker 3: around the relationship between autism and measles vaccine. Once you've 187 00:11:18,893 --> 00:11:22,613 Speaker 3: endowed a particular theory, you almost become immune to anything 188 00:11:22,653 --> 00:11:25,533 Speaker 3: which is in conflict with that theory. So the reason 189 00:11:25,533 --> 00:11:30,373 Speaker 3: why the government remains so favorably viewed is that's how 190 00:11:30,453 --> 00:11:34,293 Speaker 3: people are managing their anxiety by faith through endowment and 191 00:11:34,333 --> 00:11:37,373 Speaker 3: then with the acting they overlaid on top of that 192 00:11:37,573 --> 00:11:38,693 Speaker 3: confirmation bias. 193 00:11:39,133 --> 00:11:42,533 Speaker 2: That study of philosophy that you did in Sydney at 194 00:11:42,533 --> 00:11:48,093 Speaker 2: City University is that how much did that study that 195 00:11:48,173 --> 00:11:50,373 Speaker 2: degree contribute to what you've just said. 196 00:11:52,733 --> 00:11:56,213 Speaker 3: I think late in my life has been a series 197 00:11:56,253 --> 00:12:02,293 Speaker 3: of exposures, experiences which have shaped the way I think. 198 00:12:02,333 --> 00:12:06,933 Speaker 3: I came from a very poor background. My mother was 199 00:12:07,413 --> 00:12:11,613 Speaker 3: the mother's mari ancestry. She trained its nurse. My father 200 00:12:11,733 --> 00:12:16,053 Speaker 3: was an Australian serviceman who was disabled by Japanese machine 201 00:12:16,093 --> 00:12:18,453 Speaker 3: gun rounds during the war. So I grew up in 202 00:12:18,453 --> 00:12:23,293 Speaker 3: a very poor environment with a and so that's a 203 00:12:23,373 --> 00:12:26,893 Speaker 3: shaking experience. I was very influenced by my time in 204 00:12:26,893 --> 00:12:29,653 Speaker 3: the Navy. In the Australian Navy, I dropped out of 205 00:12:29,653 --> 00:12:33,533 Speaker 3: medicine for a while because became disillusion by hospital medicine 206 00:12:33,933 --> 00:12:36,653 Speaker 3: and I trained as a sub mariner and a mine 207 00:12:36,653 --> 00:12:39,573 Speaker 3: warfare and Clarence dominent officer. And it was the Navy's 208 00:12:39,573 --> 00:12:44,813 Speaker 3: attention to leadership and followership and education, so that when 209 00:12:44,853 --> 00:12:46,933 Speaker 3: I came back to medicine later and I suddenly realized 210 00:12:46,973 --> 00:12:50,133 Speaker 3: the breathtaking arrogance of my profession. We assumed because we're 211 00:12:50,133 --> 00:12:54,293 Speaker 3: a good doctor with an at B lead and none 212 00:12:54,333 --> 00:12:57,013 Speaker 3: of that's true. So from when I came back to 213 00:12:57,133 --> 00:13:01,373 Speaker 3: medicine in the late eighties, I've had this view of 214 00:13:01,413 --> 00:13:04,973 Speaker 3: my profession, which has been which has led me to 215 00:13:04,973 --> 00:13:08,173 Speaker 3: be very open minded about my experiences and over last 216 00:13:08,693 --> 00:13:10,813 Speaker 3: as say two or three decades, is I've got more 217 00:13:10,853 --> 00:13:13,493 Speaker 3: and more into health systems and health system design. I've 218 00:13:13,533 --> 00:13:17,293 Speaker 3: become even more and more with the fundamental nature of 219 00:13:17,373 --> 00:13:23,173 Speaker 3: human behavior. For example, I've become fascinated by the aspects 220 00:13:23,213 --> 00:13:28,253 Speaker 3: of human behavior which underpin how we behave socially, and 221 00:13:28,293 --> 00:13:35,253 Speaker 3: in particular how our behavior is highly highly predictable, but 222 00:13:35,453 --> 00:13:38,573 Speaker 3: often quite irrational. And yet we design a health system 223 00:13:39,093 --> 00:13:43,013 Speaker 3: which requires all of various actors to behave rationally, and 224 00:13:43,053 --> 00:13:44,933 Speaker 3: the only way the system can work is if we 225 00:13:44,973 --> 00:13:48,333 Speaker 3: have consistent rational behavior. Well, that's not designed for a 226 00:13:48,453 --> 00:13:51,293 Speaker 3: species called sapiens, because that's not the how, that's not 227 00:13:51,373 --> 00:13:52,293 Speaker 3: the way we behave. 228 00:13:52,973 --> 00:13:55,733 Speaker 2: When you say that people don't behave rationally, there must 229 00:13:55,773 --> 00:14:00,213 Speaker 2: be preconditions to that. It must be that must be overcomeable. 230 00:14:00,933 --> 00:14:04,653 Speaker 3: Yes, people are capable of rational behavior and of deductive 231 00:14:04,693 --> 00:14:10,613 Speaker 3: reasoning and logic, but these are hugely energy can assuming activities, 232 00:14:11,013 --> 00:14:13,253 Speaker 3: and most of the time we operate on the basis 233 00:14:13,293 --> 00:14:16,973 Speaker 3: of drop off biases or stimuli or cues which induce 234 00:14:17,013 --> 00:14:20,253 Speaker 3: certain sorts of behaviors and predictably do so. I'll give 235 00:14:20,293 --> 00:14:23,693 Speaker 3: you an example. If we're confronted with a potential loss, 236 00:14:24,213 --> 00:14:27,013 Speaker 3: will work very very hard to protect what we have, 237 00:14:27,493 --> 00:14:30,453 Speaker 3: as compared to our hard will work for an equivalent gain, 238 00:14:30,573 --> 00:14:34,653 Speaker 3: and that's called loss a version. Humans predictably respond far 239 00:14:34,693 --> 00:14:37,253 Speaker 3: more aggressively to a potential loss than a gain. Yet 240 00:14:37,253 --> 00:14:40,773 Speaker 3: we design systems which assume that we can stimulate behavior 241 00:14:41,173 --> 00:14:42,733 Speaker 3: by providing rewards. 242 00:14:42,773 --> 00:14:46,773 Speaker 2: Only does all of the above or is all of 243 00:14:46,813 --> 00:14:49,653 Speaker 2: the above affecting the governance of this country? 244 00:14:50,893 --> 00:14:53,933 Speaker 3: Yes, I think it is. I think COVID is a 245 00:14:54,013 --> 00:14:58,213 Speaker 3: sort of a microchism of a much broader malaise that 246 00:14:58,293 --> 00:15:01,093 Speaker 3: the I mean, the assumption is that the government can 247 00:15:01,133 --> 00:15:05,693 Speaker 3: actually and undertake duties of governance, of course, is laughable. 248 00:15:05,733 --> 00:15:08,613 Speaker 3: When you look across the members of government and say 249 00:15:08,613 --> 00:15:12,053 Speaker 3: who of those have had actual experience in a governance role, 250 00:15:12,493 --> 00:15:15,613 Speaker 3: then the answer is almost none of them. And if 251 00:15:15,653 --> 00:15:17,733 Speaker 3: you look then at the way in which we've governed 252 00:15:18,253 --> 00:15:22,853 Speaker 3: COVID as a microchism of that larger picture, you'd say, well, 253 00:15:22,853 --> 00:15:25,893 Speaker 3: first of all, it's been heavily politicized. And that's a 254 00:15:25,893 --> 00:15:29,053 Speaker 3: problem because the minute you try to manage electoral risk 255 00:15:29,773 --> 00:15:33,293 Speaker 3: as well as health and well being risk, and economic 256 00:15:33,373 --> 00:15:37,493 Speaker 3: and livelihood risk, it becomes impossible. It's difficult enough balancing 257 00:15:37,493 --> 00:15:41,573 Speaker 3: off economic and health risk, let alone, once you impose 258 00:15:41,693 --> 00:15:45,453 Speaker 3: electoral risk. And my experience in thirty odd health reviews 259 00:15:45,533 --> 00:15:49,053 Speaker 3: or reforms around the planet is that the more politicized 260 00:15:49,093 --> 00:15:52,693 Speaker 3: they are, the more pear shaped they become. If you 261 00:15:52,733 --> 00:15:57,613 Speaker 3: consider our COVID management and the consequence that the fact 262 00:15:57,613 --> 00:16:00,653 Speaker 3: that it is politicized, which means it's partisan, you see 263 00:16:00,693 --> 00:16:03,853 Speaker 3: immediately why we don't have an explicit statement of risk 264 00:16:03,893 --> 00:16:06,533 Speaker 3: appetite and the reason why we can't predict what's going 265 00:16:06,573 --> 00:16:09,253 Speaker 3: to happen next, because in fact, it's been driven by 266 00:16:09,293 --> 00:16:13,493 Speaker 3: political optics, not by a discreete view of what risk 267 00:16:13,533 --> 00:16:15,173 Speaker 3: we should face. And if I go back to my 268 00:16:15,293 --> 00:16:17,613 Speaker 3: Navy days, if we were going to carry out a 269 00:16:17,693 --> 00:16:20,653 Speaker 3: task we're saying attacks swim, the first thing we do 270 00:16:20,773 --> 00:16:22,973 Speaker 3: is decide what our risk appetite was, and that would 271 00:16:23,053 --> 00:16:27,053 Speaker 3: drive our behavior from the beginning to the end. And 272 00:16:27,093 --> 00:16:29,173 Speaker 3: I think also, if you got the way we've governed, 273 00:16:30,053 --> 00:16:35,373 Speaker 3: sorry we've undergoone governance of COVID, We've allowed a couple 274 00:16:35,373 --> 00:16:39,333 Speaker 3: of quite malignant cultures to creep, and one of those 275 00:16:39,413 --> 00:16:42,893 Speaker 3: is the culture of fear, where we motivate people through fear, 276 00:16:43,293 --> 00:16:47,413 Speaker 3: and fear generates political capital because of the fact that 277 00:16:47,413 --> 00:16:50,893 Speaker 3: people manage their fear by putting faith in establishment. The 278 00:16:50,973 --> 00:16:54,493 Speaker 3: other malignant culture we've adopted is that of we're the 279 00:16:54,533 --> 00:16:56,933 Speaker 3: best in show with the envy of the world. Well, frankly, 280 00:16:56,973 --> 00:16:59,613 Speaker 3: we're not the best to show. Countries like Taiwan have 281 00:16:59,693 --> 00:17:02,533 Speaker 3: left us for DearS in terms of COVID management. But 282 00:17:02,613 --> 00:17:04,773 Speaker 3: the reason why it's malignant culture is it leads to 283 00:17:04,853 --> 00:17:07,733 Speaker 3: three things. When you decide you're the best in show, 284 00:17:07,853 --> 00:17:11,653 Speaker 3: you become complacent and we do too. You stop learning. 285 00:17:11,893 --> 00:17:15,533 Speaker 3: And you imagine how Michael Baker felt felt when you said, look, 286 00:17:15,533 --> 00:17:19,493 Speaker 3: we need to introduce mask squaring. For the next three months, 287 00:17:19,493 --> 00:17:21,933 Speaker 3: the Ministry of Health kept pushing back and pushing back, 288 00:17:22,213 --> 00:17:25,293 Speaker 3: saying there's no evidence for it, it wasn't necessary. I mean, 289 00:17:25,333 --> 00:17:27,213 Speaker 3: you imagine how he felt saying, well, I just can't 290 00:17:27,293 --> 00:17:31,533 Speaker 3: understand why I'm getting this pushback. And it's the fact 291 00:17:31,533 --> 00:17:33,413 Speaker 3: that we've been unable to learn. If you think about 292 00:17:33,413 --> 00:17:36,453 Speaker 3: our border management, we almost had one border breach per day. 293 00:17:36,893 --> 00:17:40,453 Speaker 3: It hasn't improved since last July, our contact tracing we 294 00:17:40,853 --> 00:17:44,653 Speaker 3: instead of hitting eighty percent of a four day outcome target, 295 00:17:44,773 --> 00:17:48,413 Speaker 3: we're around fifty percent best. It hasn't improved since last July. 296 00:17:48,573 --> 00:17:51,533 Speaker 3: There's no improvement because when you're best in show, it's 297 00:17:51,533 --> 00:17:54,533 Speaker 3: hard to learn. And I think the final aspect of 298 00:17:54,573 --> 00:17:58,653 Speaker 3: that culture laid, which perhaps worries me even more, is 299 00:17:58,653 --> 00:18:01,373 Speaker 3: that you fit the facts to the narrative, not the 300 00:18:01,453 --> 00:18:03,973 Speaker 3: narrative to the facts. And I don't know how many 301 00:18:04,013 --> 00:18:06,133 Speaker 3: times we've been misled. All the Russian see them that 302 00:18:06,133 --> 00:18:08,973 Speaker 3: have been tested, Know they haven't. They've all been a quarantine. 303 00:18:09,013 --> 00:18:11,693 Speaker 3: No they haven't. All the border workers have been tested. 304 00:18:11,733 --> 00:18:15,533 Speaker 3: No they're not. No one's leaving quarantine early, Yes they are. 305 00:18:15,773 --> 00:18:18,653 Speaker 3: There's no Mexican mingling, Yes there is. We've got plenty 306 00:18:18,653 --> 00:18:22,853 Speaker 3: of influenza vaccine. No we don't. The nurses are getting 307 00:18:22,893 --> 00:18:24,293 Speaker 3: plenty of ppe. No they're not. 308 00:18:25,813 --> 00:18:28,213 Speaker 2: Hold it. This list is getting too long. It's frightening me, 309 00:18:28,813 --> 00:18:33,653 Speaker 2: is is it? How is it that you're sitting there 310 00:18:33,693 --> 00:18:37,453 Speaker 2: talking to me making these statements which I believe, and 311 00:18:37,533 --> 00:18:39,893 Speaker 2: yet no one's ripping the government's head off collectively. 312 00:18:41,053 --> 00:18:44,893 Speaker 3: Yeah, I think we have a populist government with a 313 00:18:44,933 --> 00:18:48,253 Speaker 3: populist prime minister. We did also with John Key. I 314 00:18:48,293 --> 00:18:52,853 Speaker 3: think other than people such as yourself and people like 315 00:18:52,933 --> 00:18:55,413 Speaker 3: Michael Mora and Mike Costkings, I think we have a 316 00:18:55,453 --> 00:19:01,133 Speaker 3: populist media. I think media generally writes articles or produces 317 00:19:01,173 --> 00:19:04,693 Speaker 3: things which they know people agree with and like. So 318 00:19:04,773 --> 00:19:06,893 Speaker 3: when you have a prime minister and a government that's 319 00:19:06,973 --> 00:19:10,253 Speaker 3: navigating on a populis ste and a media navigating on 320 00:19:10,293 --> 00:19:12,453 Speaker 3: a popular star, there's that going to be a high 321 00:19:12,533 --> 00:19:16,533 Speaker 3: level of concordance and a low level of critical thinking 322 00:19:17,173 --> 00:19:20,533 Speaker 3: my own. If I think about academia, most of the 323 00:19:20,613 --> 00:19:24,413 Speaker 3: negative comments I've had laden about speaking out have come 324 00:19:24,413 --> 00:19:26,893 Speaker 3: from fellow academics saying you shouldn't speak out, We should 325 00:19:26,893 --> 00:19:30,093 Speaker 3: get behind the government. It's important that we all team, 326 00:19:30,253 --> 00:19:34,213 Speaker 3: one team of five million, I think. And then when 327 00:19:34,253 --> 00:19:36,813 Speaker 3: you have people who when the public is in this 328 00:19:36,973 --> 00:19:40,813 Speaker 3: fearful state, they simply ignore anything which doesn't fit with 329 00:19:40,853 --> 00:19:41,613 Speaker 3: their world view. 330 00:19:42,013 --> 00:19:45,773 Speaker 2: For me, one of the greatest lies that has taken 331 00:19:45,933 --> 00:19:49,733 Speaker 2: place and is accepted by the majority of people is 332 00:19:49,893 --> 00:19:54,893 Speaker 2: the science is settled. Yes, find I find that incredibly 333 00:19:54,933 --> 00:19:57,573 Speaker 2: frightening because you just you just covered it. You when 334 00:19:57,573 --> 00:19:59,533 Speaker 2: you when you believe when you believe that, then you 335 00:19:59,573 --> 00:20:03,533 Speaker 2: become complacent. Yeah, it's absolutely right, and not only that, 336 00:20:03,613 --> 00:20:06,893 Speaker 2: you don't discover where it might be wrong, and in 337 00:20:06,893 --> 00:20:09,533 Speaker 2: many cases is and proper is wrong. 338 00:20:10,213 --> 00:20:13,373 Speaker 3: Look, I think that's absolutely right. If you think about 339 00:20:13,533 --> 00:20:17,053 Speaker 3: the one of the negative outcomes of that we're the 340 00:20:17,093 --> 00:20:19,693 Speaker 3: best in show culture that I mentioned is it becomes 341 00:20:19,853 --> 00:20:24,133 Speaker 3: very difficult to learn and it becomes very difficult to adapt. 342 00:20:24,133 --> 00:20:27,293 Speaker 3: And even when you're confronted with clear evidence, for example, 343 00:20:27,293 --> 00:20:32,773 Speaker 3: that to contact tracing methodology has plateaueded level way below 344 00:20:32,813 --> 00:20:35,893 Speaker 3: what we need, you keep finding reasons to explain it. 345 00:20:35,933 --> 00:20:38,413 Speaker 3: I heard a government ministers say the other day, well, 346 00:20:38,453 --> 00:20:41,053 Speaker 3: we can't expect to do much better than fifty percent. 347 00:20:41,093 --> 00:20:45,613 Speaker 3: In other words, of all the people we should have identified, contacted, 348 00:20:45,813 --> 00:20:49,573 Speaker 3: tested and managed within four days each aver elseid it 349 00:20:49,573 --> 00:20:51,413 Speaker 3: should be north of eighty percent. I think it should 350 00:20:51,413 --> 00:20:54,093 Speaker 3: be north of ninety five percent myself. But we're heading 351 00:20:54,173 --> 00:20:56,773 Speaker 3: at best fifty two percent. And the response from this 352 00:20:56,813 --> 00:21:00,973 Speaker 3: government minister was yes, but it's particularly difficult population and 353 00:21:01,013 --> 00:21:03,693 Speaker 3: we're having and they're hard to manage. And I'm thinking, 354 00:21:03,973 --> 00:21:07,053 Speaker 3: so you've designed a system which doesn't account for humans. 355 00:21:08,333 --> 00:21:12,493 Speaker 3: Who was the system designed for automatons robots. So at 356 00:21:12,493 --> 00:21:17,213 Speaker 3: one level even the social science is deficient in terms 357 00:21:17,213 --> 00:21:20,453 Speaker 3: of the evolution of the virus, the impact that the 358 00:21:20,533 --> 00:21:23,653 Speaker 3: vaccines will have, the modern vaccines. Then, I think, with 359 00:21:23,693 --> 00:21:26,213 Speaker 3: all due respect, there's a lot of unknown sitting in there. 360 00:21:26,813 --> 00:21:31,573 Speaker 3: Will you get vaccinated? Yes, I will. First of all, 361 00:21:31,573 --> 00:21:35,413 Speaker 3: it's going to be almost certainly an obligation to travel. 362 00:21:35,933 --> 00:21:39,253 Speaker 3: I think it's as a vaccine. It's very clear the 363 00:21:39,253 --> 00:21:42,573 Speaker 3: fires a vaccine has a very low risk profile given 364 00:21:42,613 --> 00:21:45,973 Speaker 3: the millions of arms it's been injected into. But I 365 00:21:46,093 --> 00:21:49,373 Speaker 3: get vaccinated not thinking it's some sort of silver bullet laid, 366 00:21:49,413 --> 00:21:52,413 Speaker 3: and I get vaccinated on the understanding that this will 367 00:21:52,413 --> 00:21:55,693 Speaker 3: protect me against the viruses that existed to the date 368 00:21:55,733 --> 00:21:58,213 Speaker 3: the vaccine was produced, and I'm going to need boosters 369 00:21:58,253 --> 00:22:01,853 Speaker 3: to catch up on the new viruses. So our vaccine 370 00:22:01,893 --> 00:22:04,773 Speaker 3: effort is playing catch up. It'll never get ahead of 371 00:22:04,773 --> 00:22:05,213 Speaker 3: the virus. 372 00:22:05,933 --> 00:22:08,933 Speaker 2: But for those who think who think differently, and there 373 00:22:08,973 --> 00:22:13,413 Speaker 2: are quite a number of them, I get correspondents, while 374 00:22:13,453 --> 00:22:15,413 Speaker 2: you say you're going to get this vaccine, that you'll 375 00:22:15,453 --> 00:22:18,093 Speaker 2: get this vaccination, but you'll have to have catch ups 376 00:22:18,093 --> 00:22:21,893 Speaker 2: along the way. Are you not exposing yourself to exactly 377 00:22:21,893 --> 00:22:24,813 Speaker 2: what they're saying. And I'm not arguing either way here 378 00:22:24,853 --> 00:22:30,493 Speaker 2: because I'm actually quite open minded, but reluctantly so that 379 00:22:30,613 --> 00:22:36,133 Speaker 2: you're exposing yourself to future changes, you're exposing yourself to hurt. 380 00:22:36,213 --> 00:22:39,893 Speaker 2: Mentality actually where you just accept it, you've got to 381 00:22:39,933 --> 00:22:42,373 Speaker 2: do it, and you don't worry. You stop worrying about it. 382 00:22:42,373 --> 00:22:45,133 Speaker 2: You become complacent about it because so far it's it's 383 00:22:45,133 --> 00:22:47,893 Speaker 2: been okay, and before you know it, you're being injected 384 00:22:47,893 --> 00:22:49,893 Speaker 2: with the sorts of things that scare the hell out 385 00:22:49,893 --> 00:22:50,253 Speaker 2: of people. 386 00:22:51,853 --> 00:22:55,173 Speaker 3: Yeah. Look, I can understand that sort of concept of 387 00:22:55,213 --> 00:22:58,733 Speaker 3: a slippery slope and how you by making one decision 388 00:22:58,773 --> 00:23:01,693 Speaker 3: you lead yourself to another decision and you end up 389 00:23:02,173 --> 00:23:05,373 Speaker 3: losing both your intellectual and your moral com to sign 390 00:23:05,373 --> 00:23:07,853 Speaker 3: to stand that entirely. But I think we have to 391 00:23:07,853 --> 00:23:11,693 Speaker 3: see that vaccination has different logic and different countries and 392 00:23:11,733 --> 00:23:14,853 Speaker 3: hence the need for different sorts of vaccines. For example, 393 00:23:15,373 --> 00:23:18,373 Speaker 3: in the UK and in the US, the vaccine they 394 00:23:18,453 --> 00:23:20,933 Speaker 3: need is to reduce the number of people are getting 395 00:23:20,973 --> 00:23:23,493 Speaker 3: very sick and needing to go to hospital and reduce 396 00:23:23,493 --> 00:23:25,653 Speaker 3: the number of people of dying. So they will choose 397 00:23:25,693 --> 00:23:29,493 Speaker 3: a vaccine which attenuates the course of the illness, Whereas 398 00:23:29,493 --> 00:23:32,613 Speaker 3: if the New Zealand approach is look our health systems 399 00:23:32,693 --> 00:23:36,853 Speaker 3: on its knees, it simply can't accommodate any form of 400 00:23:37,813 --> 00:23:42,253 Speaker 3: increased patient load. We need a vaccine which can actually 401 00:23:42,333 --> 00:23:47,413 Speaker 3: produce very high levels of resistance to being infected. Hence 402 00:23:47,533 --> 00:23:50,213 Speaker 3: the choice of fires, which is probably a pretty good choice. 403 00:23:50,213 --> 00:23:56,373 Speaker 3: It's sophisticated vaccine, it's genetic material. Does that mean we 404 00:23:56,453 --> 00:24:00,093 Speaker 3: are eliminating the harmless forms of the virus and the 405 00:24:00,173 --> 00:24:03,933 Speaker 3: more newly emergent forms will then run rampant. That's not 406 00:24:04,013 --> 00:24:09,813 Speaker 3: the natural history of evolution of viruses. Actually, viruses find 407 00:24:10,613 --> 00:24:13,653 Speaker 3: an accommodation with their host. If you have a virus 408 00:24:13,693 --> 00:24:16,573 Speaker 3: which is lethal and kills its host, it doesn't survive. 409 00:24:17,213 --> 00:24:19,693 Speaker 3: So the natural history of evolution of viruses, they tend 410 00:24:19,693 --> 00:24:23,413 Speaker 3: to get more effective, but they tend to get less virulent. 411 00:24:24,013 --> 00:24:26,893 Speaker 3: So I think we I mean, I think vaccination is 412 00:24:26,933 --> 00:24:30,333 Speaker 3: a very complex issue and different countries have very different 413 00:24:30,373 --> 00:24:33,493 Speaker 3: needs and should choose very different vaccination approaches. 414 00:24:33,693 --> 00:24:37,493 Speaker 2: Let me direct you immediately to Brazil, where there was 415 00:24:37,773 --> 00:24:41,373 Speaker 2: a report this very morning with regard to the new 416 00:24:41,693 --> 00:24:44,453 Speaker 2: version of the virus, and it's killing young people by 417 00:24:44,453 --> 00:24:45,093 Speaker 2: the thousands. 418 00:24:46,173 --> 00:24:48,613 Speaker 3: Now I saw that there's certainly some of the new 419 00:24:48,853 --> 00:24:53,973 Speaker 3: variants seem to have a greater effect on younger people 420 00:24:54,013 --> 00:24:59,053 Speaker 3: than the original variants of the virus. Brazil's a post 421 00:24:59,093 --> 00:25:01,333 Speaker 3: the child for what happens when you don't take even 422 00:25:01,373 --> 00:25:05,493 Speaker 3: the basic public health measures. And also Brazil's a post 423 00:25:05,493 --> 00:25:08,693 Speaker 3: a child for what happens when you politicize any form 424 00:25:08,733 --> 00:25:11,933 Speaker 3: of health response. As I said to you before, if 425 00:25:11,933 --> 00:25:15,213 Speaker 3: I look at all the health systems I've reviewed or edit, audited, 426 00:25:15,453 --> 00:25:18,853 Speaker 3: or health reforms I've led, the more politicized they are, 427 00:25:18,893 --> 00:25:21,973 Speaker 3: the more pear shape they become. In Brazil's they sadly 428 00:25:22,413 --> 00:25:23,733 Speaker 3: oppost the child for them. 429 00:25:24,133 --> 00:25:27,533 Speaker 2: And everything these days, practically everything has become politicized, has 430 00:25:27,573 --> 00:25:27,813 Speaker 2: it not. 431 00:25:28,773 --> 00:25:31,933 Speaker 3: Yes, Look, any form of health reform is inherently political 432 00:25:31,973 --> 00:25:34,933 Speaker 3: because ultimately, in the country like New Zealand, the health 433 00:25:35,013 --> 00:25:39,013 Speaker 3: burden is on taxpayers. In New Zealand, of course, most 434 00:25:39,093 --> 00:25:42,973 Speaker 3: taxpayers don't even think about healthcare and they just assume 435 00:25:43,013 --> 00:25:44,333 Speaker 3: that when they need it in the future, it will 436 00:25:44,413 --> 00:25:47,653 Speaker 3: be there for them. So they regard it like insurance, 437 00:25:47,653 --> 00:25:50,653 Speaker 3: and so they don't actually critically look at how their 438 00:25:50,653 --> 00:25:54,893 Speaker 3: health system is operating. But the last semi successful reform 439 00:25:54,893 --> 00:25:57,933 Speaker 3: of our health system lateness in nineteen thirty eight by 440 00:25:58,453 --> 00:26:02,693 Speaker 3: another Australian called Michael Joseph Savat, who in the same 441 00:26:02,773 --> 00:26:06,853 Speaker 3: year that introduced social welfare, tried to introduce a universal 442 00:26:06,893 --> 00:26:10,253 Speaker 3: healthcare system into New Zealand. He did it in hospitals, 443 00:26:10,253 --> 00:26:13,413 Speaker 3: but the New Zealand chapter of the British Medical Association, 444 00:26:13,573 --> 00:26:16,893 Speaker 3: the GPS, opposed him and rolled him. And it's fascinating. 445 00:26:16,933 --> 00:26:18,973 Speaker 3: So you think about it. That guy had all the 446 00:26:18,973 --> 00:26:21,853 Speaker 3: political capital of the Great Depression and the GPS rolled him. 447 00:26:22,373 --> 00:26:25,213 Speaker 3: And that's a different subject, but it's the political economy 448 00:26:25,213 --> 00:26:28,453 Speaker 3: of health reform. And in the last eighty three years 449 00:26:28,493 --> 00:26:31,293 Speaker 3: we've had a succession of failed health reforms, and since 450 00:26:31,373 --> 00:26:35,533 Speaker 3: nine ninety three we've had an obsession with structural reform. 451 00:26:36,133 --> 00:26:40,053 Speaker 3: The two things that drive health reforms are equity and cost, 452 00:26:40,373 --> 00:26:42,733 Speaker 3: and because of a whole range of things, we've had 453 00:26:42,773 --> 00:26:45,293 Speaker 3: a succession of failed reforms. And at the cornerstone of 454 00:26:45,333 --> 00:26:49,333 Speaker 3: it is those reforms have been partisan. And because any 455 00:26:49,333 --> 00:26:52,093 Speaker 3: health reform will have winners and losers, all you hear 456 00:26:52,133 --> 00:26:54,973 Speaker 3: from is the losers, and there's no political will to 457 00:26:55,093 --> 00:26:58,653 Speaker 3: manage the losers, particularly when they're very strong advocacy groups 458 00:26:59,013 --> 00:27:03,213 Speaker 3: like the GPS or the various medical colleges or breast 459 00:27:03,293 --> 00:27:05,853 Speaker 3: cancer in New Zealand. That's not criticizing any of those groups. 460 00:27:05,973 --> 00:27:08,453 Speaker 3: It's in fact saying that they are fabulous advocates for 461 00:27:08,533 --> 00:27:10,053 Speaker 3: their particular communities. 462 00:27:10,693 --> 00:27:14,373 Speaker 2: Speaking of the hospital system as it is now, that 463 00:27:14,453 --> 00:27:17,133 Speaker 2: takes me back to something you said a little earlier, 464 00:27:17,253 --> 00:27:20,333 Speaker 2: the state that it's in. I spent some time two 465 00:27:20,373 --> 00:27:23,973 Speaker 2: days ago on the weekend with somebody who had been 466 00:27:24,013 --> 00:27:28,053 Speaker 2: in hospital for two weeks, both Auckland's North Shore and 467 00:27:28,653 --> 00:27:34,613 Speaker 2: Auckland's Hospital, and this particular individual works in a form 468 00:27:34,653 --> 00:27:38,773 Speaker 2: of the health system, and I said, was what were 469 00:27:38,773 --> 00:27:41,853 Speaker 2: the conditions like? Because she had made a couple of 470 00:27:41,853 --> 00:27:43,733 Speaker 2: comments during the conversation, I said, well, what were the 471 00:27:43,733 --> 00:27:48,173 Speaker 2: conditions like? She said, third world? Didn't hesitate third world. 472 00:27:48,413 --> 00:27:52,373 Speaker 2: She said, the food acceptable, the staff are fabulous. The 473 00:27:52,493 --> 00:27:54,213 Speaker 2: system is third world. 474 00:27:55,173 --> 00:27:58,933 Speaker 3: Sadly true, as I said, our health system's not fit 475 00:27:59,013 --> 00:28:02,333 Speaker 3: for purpose, but it hasn't been since nineteen thirty eight. 476 00:28:02,493 --> 00:28:08,013 Speaker 3: It's unaffordable, and ironically it's unaffordable because it's been sufficiently 477 00:28:08,013 --> 00:28:12,173 Speaker 3: six tessful in creating a large population of older people 478 00:28:12,213 --> 00:28:14,853 Speaker 3: who consume a lot of healthcare and don't pay tax 479 00:28:14,893 --> 00:28:17,333 Speaker 3: and instead of consuming a lot of healthcare in their 480 00:28:17,413 --> 00:28:20,053 Speaker 3: last year of life and are living ten or more 481 00:28:20,173 --> 00:28:23,933 Speaker 3: years with multiple comorbidity. So a bit like the National 482 00:28:23,933 --> 00:28:25,973 Speaker 3: Health Service which is now in the UK, which is 483 00:28:26,013 --> 00:28:29,613 Speaker 3: now chronically insolvent. It reflects the fact that pay as 484 00:28:29,653 --> 00:28:33,173 Speaker 3: you go health systems simply reach a point where they 485 00:28:33,253 --> 00:28:38,693 Speaker 3: create a demography which renders them unaffordable. It's unsustainable. We 486 00:28:38,773 --> 00:28:42,333 Speaker 3: have a reliance and overseas trained doctors and nurses which 487 00:28:42,373 --> 00:28:47,053 Speaker 3: the World Health Organization recognizes as being unsustainable, and it's 488 00:28:47,093 --> 00:28:49,493 Speaker 3: never been fit for purpose. And I'll give you just 489 00:28:49,613 --> 00:28:53,893 Speaker 3: one example of the problem of the primary observation you're 490 00:28:53,933 --> 00:28:55,453 Speaker 3: making you look at a health system, and that is 491 00:28:56,053 --> 00:29:02,293 Speaker 3: the observation of inequity. My sister died from a horrible 492 00:29:02,293 --> 00:29:06,373 Speaker 3: illness called multiple myeloma. She lived in Tokara. She died 493 00:29:06,413 --> 00:29:11,373 Speaker 3: a terrible death by her school teacher friends, and they 494 00:29:11,413 --> 00:29:14,533 Speaker 3: were mixing up her chemotherapy in the kitchen sink. That's 495 00:29:14,613 --> 00:29:17,373 Speaker 3: not even third world, that's worse than third world. But 496 00:29:17,413 --> 00:29:19,373 Speaker 3: at the same time, late in my next door neighbor 497 00:29:19,573 --> 00:29:23,213 Speaker 3: in Devenport was dying a respiratory illness and the pallative 498 00:29:23,293 --> 00:29:26,533 Speaker 3: care he received from White Matar was absolutely first class. 499 00:29:27,893 --> 00:29:31,133 Speaker 3: And there's dozens of paired examples. I can give you 500 00:29:31,373 --> 00:29:34,013 Speaker 3: how you experience our health system depends on who you are, 501 00:29:34,613 --> 00:29:37,253 Speaker 3: where you are and what you need, want or expect 502 00:29:37,573 --> 00:29:39,573 Speaker 3: you and I, if we have a stroke today in Auckland, 503 00:29:39,613 --> 00:29:42,013 Speaker 3: will be very well looked after. But if I look 504 00:29:42,053 --> 00:29:44,773 Speaker 3: at my mari relatives in Northland who are self medicating 505 00:29:44,773 --> 00:29:48,213 Speaker 3: their mental health problems, that's not even third world. So 506 00:29:48,693 --> 00:29:52,533 Speaker 3: our health system is absolutely characterized not by universalism but 507 00:29:52,693 --> 00:29:53,653 Speaker 3: by inequity. 508 00:29:53,973 --> 00:29:58,453 Speaker 2: So you're saying that it's the basically a default class system. 509 00:29:59,973 --> 00:30:02,893 Speaker 3: Yes, I am, and it goes it's not just ethnic, 510 00:30:02,973 --> 00:30:05,333 Speaker 3: and it's not just demographic, it's not just social. There 511 00:30:05,333 --> 00:30:10,013 Speaker 3: are some services which we provide in abundance and others 512 00:30:10,013 --> 00:30:12,013 Speaker 3: we don't. And this goes back to nineteen thirty eight 513 00:30:12,013 --> 00:30:15,733 Speaker 3: and that political economy of It's interesting you look at 514 00:30:15,813 --> 00:30:19,253 Speaker 3: these inequities which have existed for decades and you'd say, okay, 515 00:30:19,333 --> 00:30:23,613 Speaker 3: when health spend relative to GDP is stable or declining, 516 00:30:23,933 --> 00:30:27,373 Speaker 3: you can understand how the vested investment in the invested 517 00:30:27,413 --> 00:30:31,133 Speaker 3: groups with influence can maintain their status because it's a 518 00:30:31,253 --> 00:30:35,493 Speaker 3: zero sum game and any money shifted to the areas 519 00:30:35,533 --> 00:30:38,173 Speaker 3: of need is money from them, so they actively oppose it, 520 00:30:38,213 --> 00:30:40,653 Speaker 3: and they've been very successful in doing that. But what's 521 00:30:40,693 --> 00:30:43,013 Speaker 3: interesting when you look at there's a Treasury study from 522 00:30:44,253 --> 00:30:49,133 Speaker 3: nineteen seventy over last sorry, from nineteen fifty to two thousand, 523 00:30:49,413 --> 00:30:51,653 Speaker 3: a fifty year Treasury study, and it showed that even 524 00:30:51,733 --> 00:30:56,013 Speaker 3: when health spend relative to GDP has gone up, those 525 00:30:56,133 --> 00:30:59,413 Speaker 3: vested interest groups have captured all the new money because 526 00:30:59,453 --> 00:31:02,293 Speaker 3: the areas of inequity don't have advocacy, they don't have 527 00:31:02,333 --> 00:31:05,133 Speaker 3: a voice, they don't have a consumer group to actually 528 00:31:05,133 --> 00:31:08,813 Speaker 3: advocate on their behalf. And so what's fascinating that fifty 529 00:31:08,853 --> 00:31:11,653 Speaker 3: year period from nineteen fifty to two thousand is the 530 00:31:11,773 --> 00:31:14,453 Speaker 3: rich have got richer, the poor have got poorer, even 531 00:31:14,533 --> 00:31:16,333 Speaker 3: in times where health spend's gone up. 532 00:31:17,053 --> 00:31:19,933 Speaker 2: I have had an opinion for a long time, at 533 00:31:19,973 --> 00:31:22,693 Speaker 2: a very simple opinion, and you'll tell me whether I'm 534 00:31:22,773 --> 00:31:27,533 Speaker 2: right or wrong, but that opinion is that management has 535 00:31:27,573 --> 00:31:32,653 Speaker 2: got way overstopped in relation to the actual services and 536 00:31:32,733 --> 00:31:33,893 Speaker 2: the front of line staff. 537 00:31:34,693 --> 00:31:36,173 Speaker 3: I'm not going to disagree with you at all. I 538 00:31:36,213 --> 00:31:36,773 Speaker 3: think you're right. 539 00:31:36,893 --> 00:31:37,893 Speaker 2: Then how does it happen? 540 00:31:39,053 --> 00:31:41,813 Speaker 3: Well, Because since nineteen eighty three we've been trying to 541 00:31:41,853 --> 00:31:46,293 Speaker 3: solve in equity and a cost problem by structural reform, 542 00:31:46,333 --> 00:31:49,333 Speaker 3: we've just created more and more structures and more and 543 00:31:49,333 --> 00:31:54,493 Speaker 3: more layers of bureaucracy. The Ministry of Health, with all 544 00:31:54,573 --> 00:31:57,493 Speaker 3: due respect, is one of the weakest policy shops that 545 00:31:57,493 --> 00:31:59,973 Speaker 3: I've encountered in the health systems that I've worked with. 546 00:32:01,213 --> 00:32:03,493 Speaker 3: And yet it looks as though we're going to increase 547 00:32:03,533 --> 00:32:08,573 Speaker 3: the Wellington bureaucracy, not decrease it. We need fewer people 548 00:32:08,613 --> 00:32:12,933 Speaker 3: with better skills. For example, modern health funding is about 549 00:32:13,213 --> 00:32:16,573 Speaker 3: commissioning for outcomes where you are very tight on what 550 00:32:16,613 --> 00:32:18,333 Speaker 3: you want and very tight on how you're going to 551 00:32:18,333 --> 00:32:21,333 Speaker 3: measure it, but absolutely loose about how it's achieved. Because 552 00:32:21,373 --> 00:32:26,253 Speaker 3: if consumer providers sorry, have both outcome risk and financial risk, 553 00:32:26,333 --> 00:32:29,253 Speaker 3: they will be innovative. That's how the world's best l systems, 554 00:32:29,693 --> 00:32:32,133 Speaker 3: almost all of which are American by the way, in private, 555 00:32:32,613 --> 00:32:36,493 Speaker 3: that's how they operate. They operate through a perpetual search 556 00:32:36,533 --> 00:32:40,093 Speaker 3: for doing better. But if I look across our bureaucracy 557 00:32:40,133 --> 00:32:43,413 Speaker 3: and say how many people there actually understand actualism. How 558 00:32:43,453 --> 00:32:46,573 Speaker 3: many of them understand counterfactuals. How many of them actually 559 00:32:46,613 --> 00:32:49,013 Speaker 3: know how to create a structural alliance. The answer is 560 00:32:49,013 --> 00:32:51,613 Speaker 3: almost none of them. The reason for that is the 561 00:32:51,613 --> 00:32:55,293 Speaker 3: reason for that is that they are self serving bureaucracies 562 00:32:55,653 --> 00:32:58,893 Speaker 3: which exist to create policy which is very rarely ever 563 00:32:59,373 --> 00:33:02,013 Speaker 3: translated into action, and which if it is very rarely 564 00:33:02,053 --> 00:33:06,493 Speaker 3: translates into better experiences. If you look at the next 565 00:33:06,533 --> 00:33:09,933 Speaker 3: wave of reforms which are about receive, it's all about 566 00:33:09,973 --> 00:33:13,373 Speaker 3: plumbing and wiring late and it's not about how people 567 00:33:13,373 --> 00:33:17,173 Speaker 3: will experience their health care system. Differently, I was diagnosed 568 00:33:17,173 --> 00:33:20,253 Speaker 3: with a very rare form of lung cancer about a 569 00:33:20,333 --> 00:33:24,493 Speaker 3: year ago, and fortunately it's one of the more treatable 570 00:33:24,533 --> 00:33:26,933 Speaker 3: forms of lung cancer. And I'm looking at the new 571 00:33:26,933 --> 00:33:29,013 Speaker 3: health reforms saying, I don't give a flying toss about 572 00:33:29,013 --> 00:33:31,653 Speaker 3: how many new bureaucrats you create. How will it affect 573 00:33:31,693 --> 00:33:34,213 Speaker 3: the services that I'm going to receive? How will it 574 00:33:34,333 --> 00:33:37,453 Speaker 3: change my experience of the health system. If I'm one 575 00:33:37,453 --> 00:33:40,653 Speaker 3: of my Mari relatives in Northland self medicating for mental health, 576 00:33:40,973 --> 00:33:42,933 Speaker 3: I know what he wants. He or she wants a 577 00:33:42,973 --> 00:33:45,213 Speaker 3: place to live in a job. So they'll be saying, 578 00:33:45,213 --> 00:33:47,213 Speaker 3: with all this money you're throwing into the system and 579 00:33:47,253 --> 00:33:50,733 Speaker 3: all these reforms, how will it help me find a 580 00:33:50,733 --> 00:33:53,813 Speaker 3: place to live and get a job. These reforms aren't 581 00:33:54,093 --> 00:33:58,253 Speaker 3: consumer centric, They aren't looking at the requirements of the user. 582 00:33:59,013 --> 00:34:01,733 Speaker 3: They are driven by bureaucrats you think can't think beyond 583 00:34:01,773 --> 00:34:02,693 Speaker 3: their immediate needs. 584 00:34:03,213 --> 00:34:05,893 Speaker 2: So how is your lung cancer treating you? 585 00:34:07,533 --> 00:34:10,213 Speaker 3: I've been lucky because of who I am and who 586 00:34:10,253 --> 00:34:14,173 Speaker 3: I know to be able to navigate the system, and 587 00:34:14,253 --> 00:34:18,173 Speaker 3: so I have been on the receiving end of some 588 00:34:18,333 --> 00:34:21,493 Speaker 3: excellent care. But I was seeing a patient the other 589 00:34:21,573 --> 00:34:25,413 Speaker 3: day myself, and I saw her because she was confused, 590 00:34:25,453 --> 00:34:28,373 Speaker 3: and that's one of my interests, that sort of confusion. 591 00:34:28,853 --> 00:34:31,693 Speaker 3: And she said, I'm going off for my follow up 592 00:34:31,893 --> 00:34:35,133 Speaker 3: CT scan for my breast cancer. So that's fantastic. And 593 00:34:35,173 --> 00:34:37,053 Speaker 3: I said, what did the first scan show? She said, 594 00:34:37,053 --> 00:34:41,213 Speaker 3: I never had it. She she is eighteen months, two 595 00:34:41,253 --> 00:34:43,893 Speaker 3: years down her cancer treatment, having a follow up scan 596 00:34:44,013 --> 00:34:47,773 Speaker 3: to see how her cancers responded to the treatment she's received, 597 00:34:48,053 --> 00:34:52,213 Speaker 3: and she never even had the first scan. So it 598 00:34:52,293 --> 00:34:54,493 Speaker 3: comes back to who you are, where you are, and 599 00:34:54,533 --> 00:34:58,013 Speaker 3: what you need want to expect. It's a very very 600 00:34:58,133 --> 00:35:00,093 Speaker 3: unevil and even playing field. 601 00:35:00,693 --> 00:35:02,893 Speaker 2: A lot of it must have to do with the 602 00:35:03,053 --> 00:35:08,013 Speaker 2: individuals involved. You've already mentioned their status, but their opinion 603 00:35:08,013 --> 00:35:10,733 Speaker 2: of them, their ability to think for themselves, to think 604 00:35:11,053 --> 00:35:14,933 Speaker 2: objectively and critically it set and know who they are 605 00:35:15,093 --> 00:35:17,493 Speaker 2: and what they're entitled to in their rights. 606 00:35:17,533 --> 00:35:21,733 Speaker 3: Are Oh, you're actually right. If your experience of healthcare 607 00:35:21,813 --> 00:35:24,773 Speaker 3: is that you have had almost an intent of health 608 00:35:24,813 --> 00:35:27,733 Speaker 3: system which has not metual needs and never has mental needs, 609 00:35:28,053 --> 00:35:29,653 Speaker 3: then why would you expect any different? 610 00:35:29,973 --> 00:35:31,733 Speaker 2: But that would be your attitude to everything in life 611 00:35:31,733 --> 00:35:33,453 Speaker 2: when it comes to bureaucracy in particular. 612 00:35:34,213 --> 00:35:36,413 Speaker 3: Look, I think bureaucracies have to earn their keep. They 613 00:35:36,493 --> 00:35:39,173 Speaker 3: have to show that they add value. I think the 614 00:35:39,213 --> 00:35:43,173 Speaker 3: most important were in healthcare or any other form of 615 00:35:43,213 --> 00:35:46,893 Speaker 3: social services. Value? What value do you add? Where is 616 00:35:46,893 --> 00:35:49,893 Speaker 3: the value propositioning here? How do you make things better? 617 00:35:49,933 --> 00:35:53,173 Speaker 3: How are you materially improving the experience? And again I 618 00:35:53,253 --> 00:35:56,213 Speaker 3: come back to those twin factors in healthcare which drive 619 00:35:56,293 --> 00:35:58,893 Speaker 3: all our thinking, which is cost in equity? 620 00:35:59,453 --> 00:36:01,573 Speaker 2: Is I going to say that having listened to some 621 00:36:01,693 --> 00:36:06,013 Speaker 2: of your comments in this interview with regard to structures 622 00:36:06,573 --> 00:36:09,813 Speaker 2: of committees and bodies and managem but etc. And politicians. 623 00:36:10,333 --> 00:36:13,373 Speaker 2: I was going to ask you, actually, but you've responded already. 624 00:36:13,533 --> 00:36:15,573 Speaker 2: I was going to ask you whether you fear for 625 00:36:15,613 --> 00:36:18,213 Speaker 2: your safety whenever you enter the hallowed halls. 626 00:36:21,293 --> 00:36:23,933 Speaker 3: Some of the feedback I've had from some fellow academics 627 00:36:23,933 --> 00:36:27,293 Speaker 3: has been quite unpleasant, actually, and I think it's an 628 00:36:27,293 --> 00:36:31,573 Speaker 3: abrogation of the very thing which justifies why we have universities, 629 00:36:31,573 --> 00:36:36,533 Speaker 3: which is academic freedom, not from the senior hierarchy of 630 00:36:36,573 --> 00:36:39,133 Speaker 3: the university. I'm very impressed by the support I've had 631 00:36:39,133 --> 00:36:41,973 Speaker 3: from there, but from some of my fellow academics it 632 00:36:42,053 --> 00:36:46,373 Speaker 3: has been shameful. Universities don't exist for research. We can 633 00:36:46,413 --> 00:36:50,613 Speaker 3: do research cheaper and more efficiently outside universities. Universities don't 634 00:36:50,653 --> 00:36:54,053 Speaker 3: exist to teach people. There's more efficient ways of learning. 635 00:36:54,173 --> 00:36:57,533 Speaker 3: Universities exist as a large part because they are a 636 00:36:57,533 --> 00:37:01,213 Speaker 3: social conscience. Well, I'm not sure that we're actually fulfilling 637 00:37:01,213 --> 00:37:06,493 Speaker 3: that obligation anymore, particularly when in response to my decision 638 00:37:06,573 --> 00:37:10,653 Speaker 3: to speak out, the feedback I've had from so many 639 00:37:10,693 --> 00:37:15,773 Speaker 3: academics has been shamefully dismissive and saying you need to 640 00:37:15,773 --> 00:37:18,133 Speaker 3: pull your head in and not rock the boat and 641 00:37:18,253 --> 00:37:21,213 Speaker 3: you know, friends of government, not government, not any of 642 00:37:21,213 --> 00:37:23,573 Speaker 3: the cabinet ministers, but friends of government, and have got 643 00:37:23,573 --> 00:37:24,813 Speaker 3: hold of me to say, look, you're not going to 644 00:37:24,813 --> 00:37:27,573 Speaker 3: be appointed to any more committees. Well, let me tell 645 00:37:27,613 --> 00:37:30,133 Speaker 3: you I haven't lost any sleep about that. I think 646 00:37:30,173 --> 00:37:34,693 Speaker 3: your achievements to this point of your life speak for themselves. 647 00:37:35,013 --> 00:37:38,093 Speaker 3: And I'm stating the obvious. Let me go back to 648 00:37:38,733 --> 00:37:41,453 Speaker 3: something that you were saying, or things that you were 649 00:37:41,493 --> 00:37:44,133 Speaker 3: saying earlier on about the approach that was taken by 650 00:37:44,213 --> 00:37:48,013 Speaker 3: government caught with its pants down and didn't deal with 651 00:37:48,053 --> 00:37:50,293 Speaker 3: it and still isn't dealing with it well enough, and 652 00:37:50,333 --> 00:37:54,653 Speaker 3: it's all political. Can you suggest any other government or 653 00:37:54,733 --> 00:37:59,253 Speaker 3: possible government that you believe would have responded better? In 654 00:37:59,293 --> 00:38:01,773 Speaker 3: other words, aren't they all in the same boat? The 655 00:38:01,933 --> 00:38:04,653 Speaker 3: users know there are some Again, if you take the 656 00:38:04,653 --> 00:38:07,013 Speaker 3: post of child, which is Taiwan. 657 00:38:07,893 --> 00:38:09,933 Speaker 2: I'm sorry, I mean here in New Zealand. 658 00:38:10,253 --> 00:38:12,453 Speaker 3: Yes, I know, I know, you mean. Okay, if you 659 00:38:12,533 --> 00:38:17,733 Speaker 3: take a post the childlike Taiwan five times our population, 660 00:38:18,053 --> 00:38:21,373 Speaker 3: we've had three times as many cases, four times as 661 00:38:21,373 --> 00:38:24,213 Speaker 3: many deaths, and they've had no lockdowns. How did they 662 00:38:24,293 --> 00:38:27,173 Speaker 3: do that? Well, they created a pandemic governance group and 663 00:38:27,213 --> 00:38:30,813 Speaker 3: a management group which stood at arm's length from government. 664 00:38:31,493 --> 00:38:34,413 Speaker 3: I actually don't think the problem in governance is because 665 00:38:34,413 --> 00:38:37,253 Speaker 3: of the skill set that the current government has or 666 00:38:37,293 --> 00:38:40,253 Speaker 3: doesn't have. It's the fact that they've actually assumed they 667 00:38:40,253 --> 00:38:42,853 Speaker 3: can take on a governance role. Well, we don't do 668 00:38:42,933 --> 00:38:45,253 Speaker 3: that for the Reserve Bank, we don't do that for 669 00:38:45,413 --> 00:38:49,013 Speaker 3: acc us on the acc board for several terms. They 670 00:38:49,053 --> 00:38:52,853 Speaker 3: don't do that for the super Fund. I mean, when 671 00:38:52,853 --> 00:38:57,293 Speaker 3: we have a very complex organization, no one pretends that 672 00:38:57,373 --> 00:39:01,093 Speaker 3: politicians are capable of providing the necessary governance. What they 673 00:39:01,133 --> 00:39:03,933 Speaker 3: do as they go along to a board of professional 674 00:39:03,973 --> 00:39:07,253 Speaker 3: governors and say, these are our expectations, this is what 675 00:39:07,293 --> 00:39:09,213 Speaker 3: we want to see from you, So this is how 676 00:39:09,293 --> 00:39:11,453 Speaker 3: the sort of relationship we want to have. Then they 677 00:39:11,493 --> 00:39:13,613 Speaker 3: get out of the way and allow professional governors to 678 00:39:13,613 --> 00:39:16,053 Speaker 3: get on with the job of governance. And that's what 679 00:39:16,093 --> 00:39:18,093 Speaker 3: was exactly what's needed here. It's not a matter of 680 00:39:18,093 --> 00:39:22,333 Speaker 3: whether a blue or a blue, yellow or green government 681 00:39:22,333 --> 00:39:24,933 Speaker 3: would have done any better. Is the fact that what 682 00:39:25,133 --> 00:39:28,453 Speaker 3: was required was the courage from government to say we're 683 00:39:28,493 --> 00:39:31,493 Speaker 3: not going to seek political capital from this, We're not 684 00:39:31,613 --> 00:39:34,093 Speaker 3: going to seek the limelight from this. What we're going 685 00:39:34,133 --> 00:39:37,693 Speaker 3: to do is create a professional Governance group, and we're 686 00:39:37,693 --> 00:39:40,413 Speaker 3: going to stand up a professional management group too, which 687 00:39:40,493 --> 00:39:43,933 Speaker 3: unashamably picks the talent out of both the private and 688 00:39:43,973 --> 00:39:47,213 Speaker 3: the public sector. And what we've had instead is, you know, 689 00:39:47,413 --> 00:39:51,373 Speaker 3: from the very good report that Heather Simpson and Brian 690 00:39:51,453 --> 00:39:54,733 Speaker 3: Roach gave government in September, which wasn't released until the 691 00:39:55,173 --> 00:39:58,693 Speaker 3: Friday before Christmas, is that the Ministry has a sidiously 692 00:39:58,813 --> 00:40:02,493 Speaker 3: avoided any form of advice from outside and even from 693 00:40:02,533 --> 00:40:04,773 Speaker 3: other parts of government. So we've actually gone the other 694 00:40:04,813 --> 00:40:09,133 Speaker 3: way around. We've created a Wellington bubble which presumes it's actually. 695 00:40:08,813 --> 00:40:11,333 Speaker 2: Competent and thinks it is believes it is. 696 00:40:12,493 --> 00:40:14,453 Speaker 3: I think if you keep telling yourself how good you are, 697 00:40:14,493 --> 00:40:17,613 Speaker 3: eventually you begin to believe it yourself. Now having said that, 698 00:40:17,693 --> 00:40:20,253 Speaker 3: it's hard to imagine that anyone in that Wellington bubble 699 00:40:20,253 --> 00:40:24,093 Speaker 3: could seriously believe that it's contact tracing is good enough. 700 00:40:24,133 --> 00:40:27,253 Speaker 3: I mean, the reason why I believe we have reluctance 701 00:40:27,293 --> 00:40:29,413 Speaker 3: about a bubble with Australia as first of all the 702 00:40:29,413 --> 00:40:32,133 Speaker 3: issues of people being stranded. But I think the real 703 00:40:32,173 --> 00:40:36,133 Speaker 3: concern we have is that we can't contact trace. As 704 00:40:36,173 --> 00:40:37,693 Speaker 3: I said, to you before. If you look at that 705 00:40:37,773 --> 00:40:40,733 Speaker 3: four day measure of how many people in four days 706 00:40:40,773 --> 00:40:44,813 Speaker 3: who have you identified, contacted, tested and dealt with, we 707 00:40:44,853 --> 00:40:47,293 Speaker 3: should be, in my view, well over ninety five percent 708 00:40:47,853 --> 00:40:52,493 Speaker 3: where we're running. During the cold Store outbreak of last 709 00:40:52,573 --> 00:40:56,053 Speaker 3: year we ran thirty seven percent. That we got up 710 00:40:56,093 --> 00:40:58,613 Speaker 3: to fifty three percent during the North and outbreak it 711 00:40:58,653 --> 00:41:02,373 Speaker 3: was fifty two. During the Papatoto outbreak it was fifty two. 712 00:41:02,813 --> 00:41:06,853 Speaker 3: We're not even remotely close. And yet I keep hearing 713 00:41:06,893 --> 00:41:09,893 Speaker 3: from the Wellington bubble that is gold standard. Well, I 714 00:41:10,173 --> 00:41:13,173 Speaker 3: can say that's gold standard. Whoa behold us if we 715 00:41:13,213 --> 00:41:14,573 Speaker 3: ever go to Bronze. 716 00:41:15,013 --> 00:41:17,973 Speaker 2: Well, if you keep kidding yourself, you eventually believe it. 717 00:41:18,493 --> 00:41:22,653 Speaker 2: You've been indicating I'm intrigued about your your cousins up north. 718 00:41:23,453 --> 00:41:27,493 Speaker 2: You your father was came from I've forgotten where now, 719 00:41:27,493 --> 00:41:29,133 Speaker 2: but he was from Europe somewhere. 720 00:41:29,053 --> 00:41:33,053 Speaker 3: No Australia, who's far north Queensland And he was shot 721 00:41:33,093 --> 00:41:39,813 Speaker 3: by the Japanese in Bogainville and was disabled as a consequence. 722 00:41:40,653 --> 00:41:43,213 Speaker 3: Interesting story. The only job he could get in Australia 723 00:41:43,253 --> 00:41:46,733 Speaker 3: as a disabled serviceman was in an asbestos factory. And 724 00:41:46,813 --> 00:41:51,133 Speaker 3: that's eventually what killed him. Isn't that a bit of irony? 725 00:41:50,933 --> 00:41:56,213 Speaker 3: He met my mother in Sydney and her family members 726 00:41:56,453 --> 00:41:59,253 Speaker 3: here in New Zealand were able to organize work for 727 00:41:59,333 --> 00:42:02,413 Speaker 3: him at Hallaby's when the freezing works, and so there 728 00:42:02,453 --> 00:42:04,773 Speaker 3: was back in the days when the railroad workshops, the 729 00:42:04,813 --> 00:42:08,093 Speaker 3: freezing works, the wolves and so on actually create, not 730 00:42:08,413 --> 00:42:12,693 Speaker 3: created jobs, but they actively employed disabled or handicapped, either 731 00:42:12,733 --> 00:42:16,013 Speaker 3: handic if not word challenged people and provided them with 732 00:42:16,053 --> 00:42:16,893 Speaker 3: dignity of work. 733 00:42:17,853 --> 00:42:22,733 Speaker 2: Your mother was quarter marry, yes, and she was a nurse. 734 00:42:23,493 --> 00:42:29,813 Speaker 3: Yes. And I think her grandmother, who was fully Marie 735 00:42:31,973 --> 00:42:34,653 Speaker 3: by genealogy, I think she was one of the very 736 00:42:34,693 --> 00:42:37,373 Speaker 3: first women ever, first married woman ever to train as 737 00:42:37,373 --> 00:42:37,813 Speaker 3: a nurse. 738 00:42:38,373 --> 00:42:41,333 Speaker 2: So you you came from a poor family, you ended 739 00:42:41,373 --> 00:42:44,893 Speaker 2: up being ducks of college, and you went from there. 740 00:42:45,013 --> 00:42:48,893 Speaker 2: And I was not stunned. I just intrigued that the 741 00:42:48,933 --> 00:42:51,493 Speaker 2: first time you ever went into a library was when 742 00:42:51,533 --> 00:42:52,773 Speaker 2: you went to university. 743 00:42:53,573 --> 00:42:56,533 Speaker 3: Yes. Well, in fact, I remember it was very funny 744 00:42:56,613 --> 00:43:01,053 Speaker 3: late in retrospect that I went to it. Nineteen seventy one, 745 00:43:01,093 --> 00:43:04,453 Speaker 3: I went to an interview at Auckland Medical School. I'd 746 00:43:04,453 --> 00:43:07,213 Speaker 3: never heard of the place, I'd never been to a 747 00:43:07,253 --> 00:43:11,053 Speaker 3: careers advisor. I was on my way I think to 748 00:43:11,133 --> 00:43:13,133 Speaker 3: Rugby practice with a friend who has stopped off, and 749 00:43:13,173 --> 00:43:14,373 Speaker 3: I said, what are you doing? So I'm getting an 750 00:43:14,373 --> 00:43:17,333 Speaker 3: application form for Auckland Medical School and saw a grab 751 00:43:17,373 --> 00:43:20,213 Speaker 3: one for me. I'd never heard it, and so it 752 00:43:20,253 --> 00:43:22,773 Speaker 3: came as a surprise, and I was invited to an interview. 753 00:43:23,413 --> 00:43:26,653 Speaker 3: And I remember one of my interviewers was Felix Donnelly, 754 00:43:26,693 --> 00:43:29,613 Speaker 3: the Catholic priest, who said to me which New Zealand 755 00:43:29,733 --> 00:43:32,613 Speaker 3: artist that I think had made the greatest contribution to 756 00:43:32,653 --> 00:43:35,053 Speaker 3: New Zealand society. And I can tell you, except you 757 00:43:35,133 --> 00:43:36,933 Speaker 3: what I thought. I thought, bargain me New Zealand's got 758 00:43:37,013 --> 00:43:42,853 Speaker 3: artists I had. I had no idea. Years later I 759 00:43:42,853 --> 00:43:46,373 Speaker 3: told him to understand that question was profoundly classist, don't you. 760 00:43:46,373 --> 00:43:48,693 Speaker 3: You might have been looking to see how broadened and 761 00:43:48,773 --> 00:43:52,253 Speaker 3: enlightened these candidates were, but for someone from my background, 762 00:43:52,333 --> 00:43:55,093 Speaker 3: that was just absolute classism. No. I'd never been into 763 00:43:55,093 --> 00:43:56,613 Speaker 3: a library until I went to university. 764 00:43:57,093 --> 00:44:01,733 Speaker 2: I had the privilege of meeting on two occasions, interviewing 765 00:44:01,733 --> 00:44:04,573 Speaker 2: on two occasions, dining with on one occasion, and sharing 766 00:44:04,573 --> 00:44:07,133 Speaker 2: a stage with on a separate occasion a fellow called 767 00:44:07,173 --> 00:44:11,973 Speaker 2: Ben Carson, and he impressed me on multiple fronts. At 768 00:44:11,973 --> 00:44:17,573 Speaker 2: that stage, he was thinking of running for the presidency, 769 00:44:17,773 --> 00:44:20,333 Speaker 2: and I said, well, if I'm coming to the inauguration, 770 00:44:20,453 --> 00:44:23,573 Speaker 2: he said, okay. I never made the trip, obviously, but 771 00:44:23,733 --> 00:44:27,253 Speaker 2: the point being that his mother was his inspiration, both 772 00:44:27,613 --> 00:44:30,613 Speaker 2: him and his brother. She was if you don't know 773 00:44:30,653 --> 00:44:33,413 Speaker 2: the story, very quickly. She was a solo mother. The 774 00:44:33,453 --> 00:44:37,893 Speaker 2: father was a drunken left She couldn't read, but fooled 775 00:44:37,933 --> 00:44:39,813 Speaker 2: them into thinking she was reading, so that they had 776 00:44:39,813 --> 00:44:43,693 Speaker 2: to submit her to her their homework and she would 777 00:44:43,693 --> 00:44:46,053 Speaker 2: look at it. And they didn't find this out for 778 00:44:46,413 --> 00:44:51,853 Speaker 2: some considerable time. And it was her attitude, her authority, 779 00:44:52,053 --> 00:44:55,773 Speaker 2: her discipline that she imposed on them, and Ben Carson 780 00:44:55,893 --> 00:44:57,653 Speaker 2: was ready to go down the drain according to his 781 00:44:57,693 --> 00:45:01,053 Speaker 2: school report at the time. That made all the difference. 782 00:45:01,373 --> 00:45:03,653 Speaker 2: So that was all a long lead in to say, 783 00:45:03,933 --> 00:45:06,013 Speaker 2: where did your inspiration come from? 784 00:45:06,773 --> 00:45:11,293 Speaker 3: Yes, I think people of my grandmother's generation, who was 785 00:45:11,333 --> 00:45:14,333 Speaker 3: a beautiful mari woman, and people of my mother's generation. 786 00:45:15,253 --> 00:45:18,893 Speaker 3: The downside was that they were determined we'd be more 787 00:45:18,933 --> 00:45:21,813 Speaker 3: parky hard than the parky cars, and me having fair 788 00:45:21,853 --> 00:45:24,533 Speaker 3: hair and blue eyes. I was always considered a favorite 789 00:45:24,573 --> 00:45:27,253 Speaker 3: because I remember my grandmother saying to me, they'll never 790 00:45:27,293 --> 00:45:29,693 Speaker 3: know where you came from. So I think the downside 791 00:45:29,813 --> 00:45:34,373 Speaker 3: was that there was a determination to as I say, 792 00:45:34,373 --> 00:45:37,173 Speaker 3: it'd be more Parky hard than the Parkias, and to 793 00:45:37,213 --> 00:45:41,573 Speaker 3: deny our mari ancestry. That's the downside. The upside, though, 794 00:45:41,773 --> 00:45:47,373 Speaker 3: was that that generation of women had a fierce determination 795 00:45:47,493 --> 00:45:52,013 Speaker 3: that their children would be well educated. And my mother 796 00:45:52,093 --> 00:45:56,333 Speaker 3: worked both day and night shifts, and dad worked over time, 797 00:45:56,813 --> 00:45:59,373 Speaker 3: especially could it the freezing works to generate enough money, 798 00:45:59,453 --> 00:46:01,853 Speaker 3: so that the one thing that was never compromised in 799 00:46:01,893 --> 00:46:05,213 Speaker 3: our household was education. We didn't have much, and we 800 00:46:05,253 --> 00:46:08,893 Speaker 3: didn't expect much, but there was never any compromise of education. 801 00:46:09,013 --> 00:46:12,293 Speaker 3: So I think there was this fierce desire to do 802 00:46:12,373 --> 00:46:15,733 Speaker 3: better through education. And it's hard not to grow up 803 00:46:15,773 --> 00:46:18,093 Speaker 3: in a household like that and not be instilled with 804 00:46:18,173 --> 00:46:22,973 Speaker 3: that same sense of determination. And certainly in my time, 805 00:46:24,413 --> 00:46:28,773 Speaker 3: social mobility in New Zealand was certainly aided by education, 806 00:46:29,453 --> 00:46:32,413 Speaker 3: and I think it was more of a meritocracy. I 807 00:46:32,493 --> 00:46:37,853 Speaker 3: think now we're seeing both education and health in breach. 808 00:46:37,893 --> 00:46:42,773 Speaker 3: In other words, I think our birthright of universal education 809 00:46:42,853 --> 00:46:46,733 Speaker 3: and our birthright of universal health care both in breach, 810 00:46:46,773 --> 00:46:49,733 Speaker 3: and I'm not sure that we have the same level 811 00:46:49,773 --> 00:46:52,333 Speaker 3: playing field or meritocracy we had which enabled me. 812 00:46:53,333 --> 00:46:58,613 Speaker 2: Then you know the next question, don't you? How am I? 813 00:46:58,613 --> 00:47:04,733 Speaker 3: I think the failure of a whole range of socially 814 00:47:04,733 --> 00:47:11,333 Speaker 3: well intentioned reforms of education have actually created dumbing down 815 00:47:11,373 --> 00:47:16,013 Speaker 3: of the education process. And I think, look, I don't 816 00:47:16,013 --> 00:47:20,013 Speaker 3: believe that rampant competition is the answer, but there has 817 00:47:20,133 --> 00:47:24,373 Speaker 3: to be some sort of stimulation to do better. And 818 00:47:24,413 --> 00:47:27,173 Speaker 3: one of the greatest stimuli to do better is competition 819 00:47:28,213 --> 00:47:32,253 Speaker 3: that has to be managed. But to take achievement out 820 00:47:32,253 --> 00:47:37,413 Speaker 3: of the educational framework, to have open plan classes, and 821 00:47:38,213 --> 00:47:41,133 Speaker 3: to walk away from some of the if you like, 822 00:47:41,293 --> 00:47:46,133 Speaker 3: fundamental building blocks of logic, many of which are mathematical, 823 00:47:46,173 --> 00:47:49,813 Speaker 3: of course, means that we have one child and five 824 00:47:49,933 --> 00:47:54,213 Speaker 3: leaving school now who's essentially illiterate and enumerate. And what 825 00:47:54,333 --> 00:48:00,213 Speaker 3: worries me is how quickly many communities have lost that 826 00:48:00,413 --> 00:48:04,853 Speaker 3: fierce drive for education. I was talking to an education 827 00:48:04,933 --> 00:48:09,413 Speaker 3: outreach person in Northland, because I oversee the Ministry of 828 00:48:09,453 --> 00:48:13,213 Speaker 3: Social Development's health interventions in Northland, or some of them, 829 00:48:13,733 --> 00:48:16,253 Speaker 3: and I remember talking this education outreach person and they 830 00:48:16,253 --> 00:48:18,453 Speaker 3: went to talk to this forteen year old girl who 831 00:48:18,453 --> 00:48:21,613 Speaker 3: had suddenly dropped out of school and she was living 832 00:48:21,613 --> 00:48:25,413 Speaker 3: her living with her boyfriend in a trailer in the 833 00:48:25,453 --> 00:48:30,013 Speaker 3: back of their property, which of course constitutes statutory rape, 834 00:48:30,013 --> 00:48:32,413 Speaker 3: of course, and they said to the parents, look, this 835 00:48:32,533 --> 00:48:35,893 Speaker 3: kid's so bright, how do we encourage her to come 836 00:48:35,933 --> 00:48:38,053 Speaker 3: back to school? And the response when the parents was 837 00:48:38,493 --> 00:48:40,933 Speaker 3: well we didn't need to know education, why should she 838 00:48:41,693 --> 00:48:45,533 Speaker 3: And the education outreach person just drove away saying well, 839 00:48:45,573 --> 00:48:48,533 Speaker 3: where do you start? Where do you start when you've 840 00:48:48,533 --> 00:48:52,373 Speaker 3: had that sort of cultural shift. But I actually think 841 00:48:52,493 --> 00:48:57,693 Speaker 3: the origins of it are completely ideologically driven and very 842 00:48:57,773 --> 00:49:02,453 Speaker 3: misplaced reforms of education. In the case of healthcare laden 843 00:49:02,773 --> 00:49:05,213 Speaker 3: it's not been fit for purpose since nineteen thirty eight. 844 00:49:05,853 --> 00:49:08,973 Speaker 2: I can only say, wow, welfare has had a that though, 845 00:49:09,013 --> 00:49:09,373 Speaker 2: has it not? 846 00:49:10,133 --> 00:49:12,533 Speaker 3: Yes, it has. I was on the Welfare working group, 847 00:49:13,573 --> 00:49:18,453 Speaker 3: which was superbly chaired by Porler Rebstock, and I sat 848 00:49:18,493 --> 00:49:21,693 Speaker 3: there late in asking myself what does it mean to 849 00:49:21,733 --> 00:49:23,093 Speaker 3: be in New Zealand. It has to be more than 850 00:49:23,213 --> 00:49:25,973 Speaker 3: just a fascination of the all blacks. It has to 851 00:49:26,013 --> 00:49:28,453 Speaker 3: be more than just you know, and you get to 852 00:49:28,453 --> 00:49:31,333 Speaker 3: get past our inferiority complex and how do you like us? 853 00:49:31,373 --> 00:49:33,493 Speaker 3: And how are you're having a good time? And the 854 00:49:33,533 --> 00:49:35,933 Speaker 3: way in which we view ourselves, and I thought, well, 855 00:49:36,293 --> 00:49:38,613 Speaker 3: what is it that makes us New Zealanders? And we 856 00:49:38,693 --> 00:49:42,093 Speaker 3: kept having people coming to the welfare working groups saying 857 00:49:42,493 --> 00:49:45,573 Speaker 3: the fundamental basis of New Zealand is social warefrom I 858 00:49:45,573 --> 00:49:48,813 Speaker 3: thought that can't be right. No society can exist where 859 00:49:48,813 --> 00:49:53,173 Speaker 3: the cornerstone is welfare. Yes, we need a welfare system 860 00:49:53,533 --> 00:49:56,013 Speaker 3: to protect people who fall out of the system, but 861 00:49:56,093 --> 00:50:00,493 Speaker 3: surely our central social contractors work. What binds us together 862 00:50:00,533 --> 00:50:04,333 Speaker 3: as a society is work. Some of it's directly contributed, 863 00:50:04,373 --> 00:50:07,013 Speaker 3: some of it indirectly contributes, some of it's paid, some 864 00:50:07,093 --> 00:50:11,293 Speaker 3: of it's unpaid. But social contract is work and that 865 00:50:11,413 --> 00:50:15,733 Speaker 3: in return for that work, we have some expectations. We 866 00:50:15,933 --> 00:50:19,893 Speaker 3: expectations for services and security. We have expectations that there 867 00:50:19,933 --> 00:50:24,173 Speaker 3: will be some net to actually protect people who fall 868 00:50:24,213 --> 00:50:26,333 Speaker 3: out of that social contract. And I think we assume 869 00:50:26,373 --> 00:50:32,413 Speaker 3: some birthrights like health and education. So our welfare system's 870 00:50:32,493 --> 00:50:34,813 Speaker 3: gone from eighty odd years ago where it was seen 871 00:50:34,853 --> 00:50:38,053 Speaker 3: as a safety net to a work act, to now 872 00:50:38,133 --> 00:50:40,333 Speaker 3: being a very deep pit that I don't think people 873 00:50:40,373 --> 00:50:43,013 Speaker 3: ever emerge from. And if you look at some of 874 00:50:43,053 --> 00:50:46,533 Speaker 3: the statistics that terrified me, which is, if someone during 875 00:50:46,533 --> 00:50:49,453 Speaker 3: their adolescence goes on to welfare, the likelihood they'll ever 876 00:50:51,213 --> 00:50:53,253 Speaker 3: leave what welfare is very low, and that sort of 877 00:50:53,293 --> 00:50:56,453 Speaker 3: thing terrifies me. I think it's gone from being an 878 00:50:56,613 --> 00:51:02,573 Speaker 3: enabling protection to being a disabling social phenomenon, which is crippling. 879 00:51:03,333 --> 00:51:07,893 Speaker 2: I formulated an opinion some long time ago, and I 880 00:51:07,973 --> 00:51:13,333 Speaker 2: think I think it was partly induced by a social 881 00:51:13,373 --> 00:51:17,373 Speaker 2: conscience of some kind. I can't describe it anymore any 882 00:51:17,413 --> 00:51:20,253 Speaker 2: better than that, but I came to the conclusion that 883 00:51:20,693 --> 00:51:23,773 Speaker 2: essentially there wasn't a race people on earth who couldn't 884 00:51:23,813 --> 00:51:28,413 Speaker 2: achieve things, or individuals from those races couldn't achieve things 885 00:51:28,893 --> 00:51:31,733 Speaker 2: if they were put in the right position to do so. 886 00:51:32,733 --> 00:51:33,253 Speaker 2: Am I wrong? 887 00:51:33,973 --> 00:51:36,773 Speaker 3: No? I think you're right. If you think about our 888 00:51:36,813 --> 00:51:42,733 Speaker 3: history as a species, it's probable that we displace Neanderthal, 889 00:51:42,773 --> 00:51:45,253 Speaker 3: who was stronger than us and smarter than us, and 890 00:51:45,333 --> 00:51:49,293 Speaker 3: we did that because we had a far better social 891 00:51:49,333 --> 00:51:54,533 Speaker 3: construct and that as a species we operate socially extremely well, 892 00:51:55,053 --> 00:51:57,733 Speaker 3: and that when our societies are strong, we are as 893 00:51:57,813 --> 00:52:03,373 Speaker 3: individuals are strong, and that constructive societies have achieved most 894 00:52:03,413 --> 00:52:09,293 Speaker 3: extraordinary things. And the opposite's true too. When our society 895 00:52:09,333 --> 00:52:12,613 Speaker 3: is are corrupted and and evil, then in fact we've 896 00:52:12,773 --> 00:52:16,173 Speaker 3: also achieved things which are vile. 897 00:52:17,133 --> 00:52:19,693 Speaker 2: But it seems inevitable that we achieve things, and we 898 00:52:20,893 --> 00:52:25,413 Speaker 2: raise our societies to a level, and there's no set predetermination, 899 00:52:25,493 --> 00:52:28,213 Speaker 2: but we get to a level, and then we undermine ourselves. 900 00:52:29,133 --> 00:52:31,613 Speaker 3: Yes, if you look at the great referring to the 901 00:52:31,653 --> 00:52:37,933 Speaker 3: great empires of our history, they have all corrupted. They 902 00:52:37,933 --> 00:52:41,573 Speaker 3: have corrupted essentially politically, using the word politically in its 903 00:52:41,613 --> 00:52:46,333 Speaker 3: broadest possible context. And the obviously the challenge is how 904 00:52:46,333 --> 00:52:49,573 Speaker 3: do you reinvigorate a society, How do you bring forward 905 00:52:49,613 --> 00:52:55,213 Speaker 3: fresh ideas, how do you avoid complacency? How do you 906 00:52:55,773 --> 00:52:59,213 Speaker 3: develop a culture of perpetual learning as compared to one 907 00:52:59,253 --> 00:53:01,813 Speaker 3: of we're the best in show in the enview of 908 00:53:01,893 --> 00:53:04,733 Speaker 3: the world. And you can understand then why I've taken 909 00:53:04,773 --> 00:53:08,693 Speaker 3: such exception to the cultures I've seen manifest during our 910 00:53:08,693 --> 00:53:12,213 Speaker 3: COVID pandemic, because to me, they represent the seeds of 911 00:53:12,213 --> 00:53:16,013 Speaker 3: how humans undo themselves. Can you expand on that, yes, 912 00:53:16,053 --> 00:53:19,573 Speaker 3: I can. I think most societies corrupt when they become 913 00:53:19,613 --> 00:53:23,573 Speaker 3: politicized when they become complacent, when they actually move away 914 00:53:23,653 --> 00:53:27,613 Speaker 3: from learning where they don't accept new and novel ways 915 00:53:27,653 --> 00:53:31,773 Speaker 3: of doing things. And I think also when they start 916 00:53:32,333 --> 00:53:36,813 Speaker 3: changing facts to fit their particular perspective of the planet. 917 00:53:37,253 --> 00:53:40,493 Speaker 3: And I think those are sorts of sapiens traits, which 918 00:53:40,533 --> 00:53:43,413 Speaker 3: whenever we see them, we should identify them and do 919 00:53:43,453 --> 00:53:46,373 Speaker 3: our best to move in the opposite direction. So that's 920 00:53:46,413 --> 00:53:48,893 Speaker 3: the reason why I've taken the strong stance I have 921 00:53:49,013 --> 00:53:51,893 Speaker 3: about the culture that's been adopted for this pandemic. It 922 00:53:52,573 --> 00:53:56,173 Speaker 3: represents the various seeds I say, on the very things 923 00:53:56,213 --> 00:53:58,493 Speaker 3: which lead I think to human devolution. 924 00:53:59,333 --> 00:54:04,573 Speaker 2: I sent you an article about an hour before we recorded, 925 00:54:05,533 --> 00:54:08,253 Speaker 2: and we haven't spoken about it since apart from the 926 00:54:08,213 --> 00:54:11,573 Speaker 2: say that you had to look at it. Yes, and 927 00:54:11,653 --> 00:54:15,293 Speaker 2: I want it quote from the opening of it, God sad. 928 00:54:15,573 --> 00:54:17,493 Speaker 2: I don't know whether that's the way it's pronounced. GA 929 00:54:17,493 --> 00:54:21,853 Speaker 2: double d SA, sorry G double ad S double ad. 930 00:54:22,533 --> 00:54:26,253 Speaker 2: A psychologist who specializes in applying evolutionary biology to the 931 00:54:26,253 --> 00:54:29,213 Speaker 2: study of consumer behavior, has written a book of great 932 00:54:29,253 --> 00:54:32,893 Speaker 2: value and moreover, it's a book that required great courage 933 00:54:32,933 --> 00:54:35,573 Speaker 2: to write. The book is filled with interesting ideas, and 934 00:54:35,613 --> 00:54:37,453 Speaker 2: I have space here to mention only a few of them, 935 00:54:37,453 --> 00:54:40,493 Speaker 2: says the author. What draws me most to the book 936 00:54:40,733 --> 00:54:43,773 Speaker 2: is that Sad has a philosophical turn of mind, and 937 00:54:43,813 --> 00:54:47,813 Speaker 2: as such he is concerned with fashionable attempts to deny 938 00:54:47,893 --> 00:54:51,973 Speaker 2: the existence of objective truths. And that's as far as 939 00:54:52,013 --> 00:54:55,253 Speaker 2: I'm going to take it. You want to comment on that. 940 00:54:55,893 --> 00:54:58,453 Speaker 3: Oh, look, I agree, and I share his concern. I 941 00:54:58,453 --> 00:55:02,973 Speaker 3: don't have a singular view on the way in which 942 00:55:03,013 --> 00:55:06,453 Speaker 3: we behave. I am a very big fan of behaviorism, 943 00:55:06,493 --> 00:55:10,013 Speaker 3: which of course doesn't necessary rarely seek to understand why, 944 00:55:10,013 --> 00:55:13,533 Speaker 3: but just describes how we behave. I believe there are 945 00:55:13,533 --> 00:55:16,773 Speaker 3: some things which can only be explained in evolutionary terms. 946 00:55:17,253 --> 00:55:19,253 Speaker 3: For example, some of the ways in which our brain 947 00:55:19,693 --> 00:55:24,853 Speaker 3: responds to trauma very clearly is evolutionary. And the reason 948 00:55:24,893 --> 00:55:26,653 Speaker 3: why I say that is that you see exactly the 949 00:55:26,693 --> 00:55:31,813 Speaker 3: same responses in very dissimilar cultures with profoundly different health metaphors. 950 00:55:33,173 --> 00:55:36,013 Speaker 3: I think we now live in a world where, if 951 00:55:36,053 --> 00:55:39,613 Speaker 3: you know to use the cliche, styles becoming more important 952 00:55:39,773 --> 00:55:44,933 Speaker 3: than substance. We live in a world where my well established, 953 00:55:45,173 --> 00:55:50,573 Speaker 3: reasonably scientifically robust factors inferior to your ill conceived opinion. 954 00:55:50,573 --> 00:55:54,533 Speaker 3: If you have more followers than me. I think we're 955 00:55:54,613 --> 00:55:59,933 Speaker 3: using reductionists thinking, and I think we're using we're revising 956 00:56:00,213 --> 00:56:04,013 Speaker 3: history to explain particular political points of. 957 00:56:03,973 --> 00:56:06,893 Speaker 2: View, and all of that is detrimental to the future. 958 00:56:07,893 --> 00:56:10,853 Speaker 3: All of that leads to a corruption of free thought. 959 00:56:11,613 --> 00:56:14,333 Speaker 3: All of that leads to the opposite of what I seek. 960 00:56:15,613 --> 00:56:17,573 Speaker 3: What do I want to see in the way we 961 00:56:17,653 --> 00:56:21,013 Speaker 3: behave as a society, a perpetual search for doing better? 962 00:56:21,093 --> 00:56:23,773 Speaker 3: How can I do better tomorrow than I did yesterday? 963 00:56:23,773 --> 00:56:25,373 Speaker 3: How can I do better next week than I did 964 00:56:25,453 --> 00:56:29,573 Speaker 3: last week? And the requirement of us as individuals and 965 00:56:29,613 --> 00:56:32,093 Speaker 3: as a society to achieve that is that we have 966 00:56:32,093 --> 00:56:35,333 Speaker 3: an open mind and we actively engage with new ideas. 967 00:56:35,973 --> 00:56:39,053 Speaker 2: Then you've partly answered this question over the course of 968 00:56:39,093 --> 00:56:45,493 Speaker 2: the conversation, but specifically the West's crisis of academic freedom. 969 00:56:45,893 --> 00:56:46,613 Speaker 2: How bad is it? 970 00:56:47,893 --> 00:56:50,773 Speaker 3: I think it's got to the point now where it's 971 00:56:50,853 --> 00:56:57,933 Speaker 3: become crippling. I think, using another cliche, political correctness. While 972 00:56:58,013 --> 00:57:03,253 Speaker 3: I understand that hate speech is unacceptable, while I understand 973 00:57:03,893 --> 00:57:11,573 Speaker 3: that derogatory racism, for exace, is also factible, the basic 974 00:57:11,693 --> 00:57:15,453 Speaker 3: principles of freedom of speech are just that freedom of speech, 975 00:57:15,933 --> 00:57:21,173 Speaker 3: freedom of thought, freedom of and so that doesn't mean 976 00:57:21,213 --> 00:57:25,773 Speaker 3: that I should have been able to push theories for 977 00:57:25,773 --> 00:57:28,493 Speaker 3: which I have no evidence or no support other than 978 00:57:29,013 --> 00:57:31,333 Speaker 3: my own prejudices. I should have to defend my thoughts 979 00:57:31,333 --> 00:57:35,933 Speaker 3: and should have to defend them to a very critical audience. 980 00:57:36,813 --> 00:57:40,293 Speaker 3: But nevertheless, I still think the environment must exist where 981 00:57:40,293 --> 00:57:42,573 Speaker 3: we are able to express our points of view. And 982 00:57:42,613 --> 00:57:44,973 Speaker 3: that's the reason why when I look at the last year, 983 00:57:45,093 --> 00:57:49,493 Speaker 3: I'm so sad that the negative commentaries I've had have 984 00:57:49,533 --> 00:57:53,253 Speaker 3: been from fellow academics who have been prepared to sacrifice 985 00:57:53,253 --> 00:57:56,533 Speaker 3: that freedom of thought so quickly, and why I was 986 00:57:57,013 --> 00:58:01,093 Speaker 3: absolutely delighted to see the response from the senior members 987 00:58:01,133 --> 00:58:06,573 Speaker 3: of my university supporting that my willingness to speak out. 988 00:58:06,693 --> 00:58:13,333 Speaker 3: So I I find constraint of thought through socially determined 989 00:58:13,373 --> 00:58:17,093 Speaker 3: parameters and what's right and what's wrong abhorrent. 990 00:58:17,093 --> 00:58:18,613 Speaker 2: Then there's a lot of abhorrence about. 991 00:58:19,373 --> 00:58:23,413 Speaker 3: Yes, there's a lot of I mean, I forget who 992 00:58:23,453 --> 00:58:25,733 Speaker 3: said it late and I have said a long time ago, 993 00:58:25,893 --> 00:58:31,493 Speaker 3: but that expression about when you haven't really changed what 994 00:58:31,693 --> 00:58:34,013 Speaker 3: I'm thinking, you just simply credit an environment where I'm 995 00:58:34,053 --> 00:58:37,093 Speaker 3: not prepared to express my thoughts. I'm not sure that's 996 00:58:37,133 --> 00:58:41,533 Speaker 3: a healthy environment. No it's not, and it's spreading rapidly. 997 00:58:42,093 --> 00:58:46,613 Speaker 3: You mentioned political correctness sort of emerged. The beginning of 998 00:58:46,653 --> 00:58:50,453 Speaker 3: this trend emerged in the eighties, particularly the late eighties, 999 00:58:51,293 --> 00:58:55,173 Speaker 3: and it spread like the proverbial virus. 1000 00:58:56,293 --> 00:58:58,653 Speaker 2: And if you look back from where we are now 1001 00:58:58,693 --> 00:59:01,493 Speaker 2: to where it was then when people were saying, oh, 1002 00:59:01,493 --> 00:59:04,773 Speaker 2: that's just America, it'll never happen here, we can see 1003 00:59:04,813 --> 00:59:09,093 Speaker 2: how quickly and how thoroughly it has a thing all 1004 00:59:09,253 --> 00:59:13,093 Speaker 2: manner of lives and all aspects of life. 1005 00:59:13,693 --> 00:59:17,533 Speaker 3: Yeah, I think that's true. I mean, when those sorts 1006 00:59:17,573 --> 00:59:21,213 Speaker 3: of movements began, I don't believe we understood just how 1007 00:59:21,253 --> 00:59:26,293 Speaker 3: global we had become, and how globalism would overwhelm us, 1008 00:59:26,373 --> 00:59:30,453 Speaker 3: and that would end up with greater and greater homogeneity, 1009 00:59:30,573 --> 00:59:33,493 Speaker 3: and that our freedom of thought would be constrained in 1010 00:59:33,533 --> 00:59:36,613 Speaker 3: the same way as our way we dress and behave 1011 00:59:36,693 --> 00:59:41,093 Speaker 3: would be constrained. And we created a superclass of influencers 1012 00:59:41,133 --> 00:59:44,573 Speaker 3: who are famous for no more than being influencers, who've 1013 00:59:44,573 --> 00:59:48,693 Speaker 3: even created another class of people who we have some 1014 00:59:49,213 --> 00:59:53,573 Speaker 3: morbid fascination of watching them go about their miserable lives. 1015 00:59:54,293 --> 00:59:58,613 Speaker 3: I mean, the whole concept of reality, television and social 1016 00:59:58,653 --> 01:00:01,693 Speaker 3: media has lent itself not to a diversity of thought, 1017 01:00:01,693 --> 01:00:05,133 Speaker 3: in my view, it's led itself to a constraint of thought. Now, 1018 01:00:05,533 --> 01:00:08,213 Speaker 3: I'm not defending hate speech, and I'm not defending race, 1019 01:00:08,653 --> 01:00:13,053 Speaker 3: and I'm not defending sexism. What I'm defending is articulate, 1020 01:00:13,133 --> 01:00:17,413 Speaker 3: well thought out speech and thinking which enters into the 1021 01:00:18,053 --> 01:00:22,613 Speaker 3: arena of thought and layers itself open to criticism and debate. 1022 01:00:23,613 --> 01:00:25,293 Speaker 2: If there was one thing that you were in a 1023 01:00:25,293 --> 01:00:30,493 Speaker 2: position to do to achieve one thing, what. 1024 01:00:32,013 --> 01:00:38,413 Speaker 3: I'd probably focus on health in this case in New Zealand, Layton, 1025 01:00:39,053 --> 01:00:42,733 Speaker 3: and I would look for a reform which was driven 1026 01:00:42,853 --> 01:00:45,533 Speaker 3: from the eyes and the voice and the experience of 1027 01:00:45,573 --> 01:00:46,133 Speaker 3: the consumer. 1028 01:00:46,973 --> 01:00:48,893 Speaker 2: Let me hit on a few other things, and just 1029 01:00:48,933 --> 01:00:52,053 Speaker 2: give me brief as brief answers as you can without 1030 01:00:52,053 --> 01:00:54,493 Speaker 2: short circuiting. I've imagine. 1031 01:00:55,573 --> 01:00:58,093 Speaker 3: An observation and need of research. 1032 01:00:58,933 --> 01:01:04,053 Speaker 2: Have you heard at all any speeches comments from Thomas Brady. 1033 01:01:04,813 --> 01:01:10,533 Speaker 3: Yes, I have, and the laboratory research certainly warrants some 1034 01:01:10,773 --> 01:01:14,133 Speaker 3: further investigation. So I'd say at the moment it's in 1035 01:01:14,213 --> 01:01:17,933 Speaker 3: that area that science works by observation followed up by 1036 01:01:18,013 --> 01:01:21,813 Speaker 3: rigorous research and observation has been made, a positive effect 1037 01:01:21,893 --> 01:01:26,373 Speaker 3: has been demonstrated. It now needs to be translated into 1038 01:01:26,493 --> 01:01:31,573 Speaker 3: more rigorous research. The media, I think we have a 1039 01:01:32,013 --> 01:01:36,693 Speaker 3: populist media with one or two exceptions going to notable exceptions, 1040 01:01:36,733 --> 01:01:38,853 Speaker 3: that no longer serves its purpose, which was to be 1041 01:01:39,733 --> 01:01:42,493 Speaker 3: a critical voice on society and a way of keeping 1042 01:01:42,573 --> 01:01:47,573 Speaker 3: our government accountable. I think our media now occupies the 1043 01:01:47,733 --> 01:01:50,933 Speaker 3: range of occupies the realm of entertainment. 1044 01:01:51,733 --> 01:01:55,373 Speaker 2: What about the what we anticipate? And we're having this 1045 01:01:55,493 --> 01:02:00,293 Speaker 2: discussion the day before the announcement is reputed to be made, 1046 01:02:00,453 --> 01:02:03,933 Speaker 2: and I'm talking about the trans Tasment bubble. It seems 1047 01:02:03,973 --> 01:02:05,293 Speaker 2: to be looming. What's your thought. 1048 01:02:06,493 --> 01:02:09,373 Speaker 3: I think it's essential from an economic point of view, 1049 01:02:09,813 --> 01:02:11,693 Speaker 3: it's clearly going to have to be a fluid things 1050 01:02:11,733 --> 01:02:15,173 Speaker 3: as outbroakes occur on both sides of the Tasman. I 1051 01:02:15,213 --> 01:02:17,333 Speaker 3: think our real concern in New Zealand is that we 1052 01:02:17,413 --> 01:02:20,853 Speaker 3: don't have adequate contact tracing and we're using a contact 1053 01:02:20,893 --> 01:02:23,613 Speaker 3: app which is steam driven. So I think our problem 1054 01:02:23,733 --> 01:02:26,573 Speaker 3: the problems are not Australian. The problems are are our 1055 01:02:26,693 --> 01:02:32,973 Speaker 3: capacity and competency. So what would you replace our app with? Oh, Look, 1056 01:02:33,013 --> 01:02:35,213 Speaker 3: there's a dozen different apps around the planet. Just choose 1057 01:02:35,253 --> 01:02:37,893 Speaker 3: your best. It's a bit like how would you manage 1058 01:02:38,253 --> 01:02:39,973 Speaker 3: vaccination in New Zealand? Just go and look what the 1059 01:02:40,013 --> 01:02:43,053 Speaker 3: Israelis did and just copy them. What software would you use? 1060 01:02:43,093 --> 01:02:45,893 Speaker 3: Go and flog their software? Why do we need to 1061 01:02:46,013 --> 01:02:49,733 Speaker 3: have this obsession with invented here? Choose the best that's available, 1062 01:02:50,133 --> 01:02:51,413 Speaker 3: adapt it and run with it. 1063 01:02:51,893 --> 01:02:54,893 Speaker 2: Well, speaking of these Raelis, we've had a very cruisy 1064 01:02:55,013 --> 01:02:57,773 Speaker 2: run in the greater scheme of things in New Zealand 1065 01:02:58,013 --> 01:03:00,373 Speaker 2: because of our geography as much as anything else. 1066 01:03:00,453 --> 01:03:01,653 Speaker 3: Yep, are more so. 1067 01:03:02,253 --> 01:03:04,333 Speaker 2: But the Israelis have been in and out and inundated, 1068 01:03:04,413 --> 01:03:10,573 Speaker 2: and all sorts of aspects of COVID have affected them. 1069 01:03:11,573 --> 01:03:14,453 Speaker 2: And I'm only mentioning them because it's true and because 1070 01:03:14,493 --> 01:03:17,773 Speaker 2: you mentioned them. So why are we not better off 1071 01:03:17,813 --> 01:03:21,093 Speaker 2: than they are in terms of vaccination now, in terms 1072 01:03:21,173 --> 01:03:24,013 Speaker 2: of where we're at in the lack of suffering that 1073 01:03:24,093 --> 01:03:26,053 Speaker 2: we have here as opposed to them. 1074 01:03:26,733 --> 01:03:29,053 Speaker 3: Look, I think, first of all, I know a fair 1075 01:03:29,133 --> 01:03:32,493 Speaker 3: bit about the Middle East because I've been going several 1076 01:03:32,533 --> 01:03:35,253 Speaker 3: times a year for the last thirty six years, and 1077 01:03:35,373 --> 01:03:39,333 Speaker 3: I chair some important and important committees in the Middle 1078 01:03:39,333 --> 01:03:44,053 Speaker 3: East and advise a range of jurisdictions. The Middle East 1079 01:03:44,093 --> 01:03:47,693 Speaker 3: became largely unstuck because while they manage the risks amongst 1080 01:03:48,453 --> 01:03:51,133 Speaker 3: their core communities, they didn't manage the risks amongst the 1081 01:03:51,213 --> 01:03:57,093 Speaker 3: expatriate communities, and that really led to their undoing. And also, 1082 01:03:57,213 --> 01:03:59,253 Speaker 3: of course they have land borders which are very hard 1083 01:03:59,293 --> 01:04:01,613 Speaker 3: to manage. Why have we done well in New Zealand. 1084 01:04:01,653 --> 01:04:03,893 Speaker 3: I think you've identified the major one, which is at 1085 01:04:04,053 --> 01:04:07,413 Speaker 3: our geography. We are too We're an island nation at 1086 01:04:07,453 --> 01:04:10,413 Speaker 3: the bottom of the South. Specific we have lots of sunshine, 1087 01:04:10,453 --> 01:04:12,773 Speaker 3: we have lots of wind. We don't live we don't 1088 01:04:12,813 --> 01:04:15,733 Speaker 3: live in high density, we don't have we don't live 1089 01:04:15,773 --> 01:04:20,293 Speaker 3: in houses which have a single ventilation system for multiple occupants. 1090 01:04:20,933 --> 01:04:25,653 Speaker 3: There are a whole range of geological, geographical, demographic and 1091 01:04:25,773 --> 01:04:30,973 Speaker 3: sociological reasons why we are well placed to do well. 1092 01:04:31,613 --> 01:04:35,013 Speaker 3: I think our first lockdown, while I think it was inhumane, 1093 01:04:35,213 --> 01:04:38,453 Speaker 3: was highly effective. It was completely avoidable, but it was 1094 01:04:38,533 --> 01:04:41,093 Speaker 3: highly effective. And I think the third reason late and 1095 01:04:41,133 --> 01:04:43,573 Speaker 3: we'd have to concede, is something called dumb good luck. 1096 01:04:44,853 --> 01:04:48,933 Speaker 3: You think about that air hosts the air air attend 1097 01:04:49,013 --> 01:04:51,893 Speaker 3: and that went to that wedding and bluff and infected 1098 01:04:51,933 --> 01:04:53,933 Speaker 3: eighty eight people. I think it was one or two deaths. 1099 01:04:54,453 --> 01:04:57,173 Speaker 3: If we'd had one person like that in the last 1100 01:04:57,213 --> 01:05:00,213 Speaker 3: fifteen outbreaks, we'd look a lot more like Victorian, a 1101 01:05:00,293 --> 01:05:01,493 Speaker 3: lot less like Queensland. 1102 01:05:02,773 --> 01:05:07,693 Speaker 2: And you don't think that opening the bubble might lead 1103 01:05:07,733 --> 01:05:08,413 Speaker 2: to the same. 1104 01:05:09,013 --> 01:05:11,693 Speaker 3: Yeah, I do actually think that. I think the bubble 1105 01:05:11,773 --> 01:05:15,933 Speaker 3: being opened is essential economically, but there are risks which 1106 01:05:16,013 --> 01:05:17,653 Speaker 3: sit there. First of all, if you fill up the 1107 01:05:17,733 --> 01:05:21,133 Speaker 3: quarantine places with people from the UK and the US, 1108 01:05:21,293 --> 01:05:23,973 Speaker 3: then you actually increase our risk at the border. My 1109 01:05:24,133 --> 01:05:25,813 Speaker 3: view is we should be dialing back to the number 1110 01:05:25,813 --> 01:05:28,933 Speaker 3: of people coming from the UK in the US. I 1111 01:05:29,053 --> 01:05:32,053 Speaker 3: think we have a real problem with New Zealanders being 1112 01:05:32,213 --> 01:05:35,573 Speaker 3: potentially stranded in Australia. And I think the other problem 1113 01:05:35,733 --> 01:05:37,333 Speaker 3: is that, as I said to you, I think we 1114 01:05:37,493 --> 01:05:42,733 Speaker 3: have problems in our contact tracing capacity. But it's time 1115 01:05:42,813 --> 01:05:47,053 Speaker 3: I think for the government to stop talking about it's 1116 01:05:47,093 --> 01:05:50,613 Speaker 3: going to listen to industry about logistics and so on, 1117 01:05:51,013 --> 01:05:53,413 Speaker 3: and actively start engaging with them and taking on the 1118 01:05:53,493 --> 01:05:56,853 Speaker 3: best that's available in society. But I think there are 1119 01:05:56,893 --> 01:05:59,213 Speaker 3: real risks to opening the border. I think it's an 1120 01:05:59,533 --> 01:06:04,933 Speaker 3: economic necessity, but there are some significant health risks which 1121 01:06:05,053 --> 01:06:05,493 Speaker 3: underpin it. 1122 01:06:05,893 --> 01:06:06,973 Speaker 2: What about herd immunity. 1123 01:06:08,373 --> 01:06:12,253 Speaker 3: Immunity is probably achievable with the fires of vaccine, given 1124 01:06:12,333 --> 01:06:17,253 Speaker 3: its efficacy against existing strains of COVID. I mean clearly 1125 01:06:17,333 --> 01:06:19,613 Speaker 3: we're going to need top ups I don't know, annually, 1126 01:06:19,693 --> 01:06:22,613 Speaker 3: second annually, in the same way we have of influenza 1127 01:06:22,653 --> 01:06:28,533 Speaker 3: which address the newly emergent strains that are problematic. I 1128 01:06:28,573 --> 01:06:32,173 Speaker 3: think heard immunity from a planetary point of view is many, 1129 01:06:32,293 --> 01:06:35,773 Speaker 3: many years away. I think this pandemic has another five 1130 01:06:35,853 --> 01:06:36,773 Speaker 3: to ten years to run. 1131 01:06:37,613 --> 01:06:41,733 Speaker 2: Wow. That's my second Wow. I want to throw this 1132 01:06:41,893 --> 01:06:47,453 Speaker 2: term at you. Transhumanism. Just give it, give me a description. 1133 01:06:47,853 --> 01:06:52,093 Speaker 3: Definitely, Yeah. I think transhumanism is how we introduce some 1134 01:06:52,373 --> 01:06:56,533 Speaker 3: form of automation or artificial intelligence, or we actually look 1135 01:06:56,613 --> 01:07:01,653 Speaker 3: at tracking, or how we code information about individuals onto 1136 01:07:01,693 --> 01:07:07,293 Speaker 3: their body. There's a whole range of possible manifestations of transhumanism. 1137 01:07:07,373 --> 01:07:10,173 Speaker 3: At it's simplest level, where we have a chip which 1138 01:07:10,213 --> 01:07:15,093 Speaker 3: is inserted which provides credit card details and basic health information, 1139 01:07:15,213 --> 01:07:19,333 Speaker 3: you can see it would be a positive contributor to society. 1140 01:07:20,053 --> 01:07:23,613 Speaker 3: At the point though, where it starts providing some form 1141 01:07:23,693 --> 01:07:28,773 Speaker 3: of mobile intelligence. You begin to start worrying about are 1142 01:07:28,853 --> 01:07:31,333 Speaker 3: we actually starting to fiddle with a very fundaments of 1143 01:07:31,973 --> 01:07:34,253 Speaker 3: human nature? And I think we have to be very careful. 1144 01:07:34,293 --> 01:07:39,053 Speaker 2: Then think very close to it. Professor des Gorman, I 1145 01:07:39,293 --> 01:07:43,573 Speaker 2: have to say that this has been so enjoyable I 1146 01:07:43,693 --> 01:07:47,133 Speaker 2: could continue for as long again. So on that basis, 1147 01:07:47,493 --> 01:07:48,853 Speaker 2: I expect you to come back sometime. 1148 01:07:50,453 --> 01:07:52,413 Speaker 3: Well, thanks lad, and I thoroughly enjoyed talking to you. 1149 01:07:52,533 --> 01:07:53,173 Speaker 3: Let's do it again. 1150 01:07:53,653 --> 01:07:54,653 Speaker 2: Appreciate it very much. 1151 01:07:55,533 --> 01:07:55,893 Speaker 3: Aries. 1152 01:08:11,573 --> 01:08:15,173 Speaker 2: Buccolan is a natural oral vaccine in a tablet form 1153 01:08:15,293 --> 01:08:19,093 Speaker 2: called bacterial l sate. It'll boost your natural protection against 1154 01:08:19,133 --> 01:08:22,253 Speaker 2: bacterial infections in your chest and throat. A three day 1155 01:08:22,333 --> 01:08:25,173 Speaker 2: course of seven Bucklan tablets will help your body build 1156 01:08:25,253 --> 01:08:28,893 Speaker 2: up to three months of immunity against bugs which cause 1157 01:08:29,093 --> 01:08:32,653 Speaker 2: bacterial cold symptoms. So who can take buccolan well, the 1158 01:08:32,693 --> 01:08:35,653 Speaker 2: whole family. From two years of age and upwards. A 1159 01:08:35,773 --> 01:08:39,093 Speaker 2: course of Buckelan tablets offers cost effective and safe protection 1160 01:08:39,213 --> 01:08:43,173 Speaker 2: from colds and chills. Protection becomes effective a few days 1161 01:08:43,213 --> 01:08:46,013 Speaker 2: after you take buccolan and lasts for up to three 1162 01:08:46,093 --> 01:08:49,173 Speaker 2: months following the three day course. Buccolan can be taken 1163 01:08:49,213 --> 01:08:52,333 Speaker 2: throughout the cold season, over winter or all the year round. 1164 01:08:52,613 --> 01:08:55,453 Speaker 2: And remember Buckelan is not intended as an alternative to 1165 01:08:55,573 --> 01:08:58,973 Speaker 2: influenza vaccination, but may be used along with the flu 1166 01:08:59,093 --> 01:09:03,173 Speaker 2: vaccination for added protection. And keep in mind that millions 1167 01:09:03,213 --> 01:09:06,413 Speaker 2: of doses have been taken by Kiwis for over fifty years. 1168 01:09:06,853 --> 01:09:10,213 Speaker 2: Only available from your pharmacy. Always read the label and 1169 01:09:10,493 --> 01:09:14,253 Speaker 2: users directed, and see your doctor if systems persist. Farmer Broker, 1170 01:09:14,333 --> 01:09:18,093 Speaker 2: Auckland Light and swith I into the mail room for 1171 01:09:18,253 --> 01:09:21,293 Speaker 2: two nine two with Missus producer. Good Morning, Layton, Good morning, 1172 01:09:21,413 --> 01:09:25,333 Speaker 2: it is very good morning, beautiful. We've had some lousy weather, 1173 01:09:25,893 --> 01:09:28,613 Speaker 2: but the weather faded. The weather when it was bad, 1174 01:09:28,733 --> 01:09:33,133 Speaker 2: faded into something irrelevant. After listening to Des Gorman today. 1175 01:09:33,093 --> 01:09:36,653 Speaker 4: Yes, and let's just say we met Des a few 1176 01:09:36,733 --> 01:09:40,013 Speaker 4: times and his lovely family and we are so thinking 1177 01:09:40,093 --> 01:09:42,133 Speaker 4: of him at the moment. What a tragic loss. 1178 01:09:42,853 --> 01:09:45,093 Speaker 2: Indeed. Okay, Laydon, this. 1179 01:09:45,213 --> 01:09:48,733 Speaker 4: Is from Pam. I am a new listener to your podcasts. 1180 01:09:48,813 --> 01:09:51,853 Speaker 4: They are always so topical and enlightening. I've never written 1181 01:09:51,893 --> 01:09:53,693 Speaker 4: to you before, but I would just like to comment 1182 01:09:53,813 --> 01:09:57,253 Speaker 4: on last week's podcast with Guy Hatchard. He speaks a 1183 01:09:57,333 --> 01:10:01,173 Speaker 4: lot of truth I understand that AI technology can be risky, 1184 01:10:01,293 --> 01:10:05,173 Speaker 4: but for me it's a game changer. I have low vision, 1185 01:10:05,373 --> 01:10:08,173 Speaker 4: and the AI apps such as Seeing AI that have 1186 01:10:08,333 --> 01:10:12,453 Speaker 4: the ability to change text to speech, along with many 1187 01:10:12,533 --> 01:10:15,613 Speaker 4: other applications, have become an essential part of daily living 1188 01:10:15,693 --> 01:10:18,733 Speaker 4: for me and also many others who are blind or 1189 01:10:18,893 --> 01:10:22,893 Speaker 4: have low vision. Of course, it has its limitations. So 1190 01:10:23,093 --> 01:10:25,293 Speaker 4: many thanks, and I look forward to hearing more from 1191 01:10:25,333 --> 01:10:27,853 Speaker 4: you and your special guests. And that's from Pam. 1192 01:10:28,133 --> 01:10:30,293 Speaker 2: I thank you, appreciate it, and I expect you to 1193 01:10:30,373 --> 01:10:35,013 Speaker 2: be there too. We've both got expectations now from Gin 1194 01:10:36,453 --> 01:10:41,453 Speaker 2: and this is relevant. I googled Guy Hatchett, and sure enough, 1195 01:10:41,773 --> 01:10:45,533 Speaker 2: just as Guy predicted, the very first search item was 1196 01:10:45,573 --> 01:10:49,493 Speaker 2: a National Library synopsis of the stuff hit piece against Guy, 1197 01:10:49,933 --> 01:10:55,253 Speaker 2: written by some random Keith Lynch. The synopsis alone contained 1198 01:10:55,293 --> 01:11:01,573 Speaker 2: these words alternative facts, anti vaccination, alternative views, and super 1199 01:11:01,653 --> 01:11:06,493 Speaker 2: spreader of misinformation. If this is not a defamation campaign 1200 01:11:06,573 --> 01:11:09,333 Speaker 2: disguised as a news article, I don't know what it is. 1201 01:11:09,813 --> 01:11:13,853 Speaker 2: I'm surprised Guy had ensued the pants off stuff thankfully. 1202 01:11:14,013 --> 01:11:17,133 Speaker 2: The third Google search item pointed to the Latent Smith 1203 01:11:17,173 --> 01:11:19,333 Speaker 2: podcast number two hundred and ninety one, which you did 1204 01:11:19,413 --> 01:11:23,693 Speaker 2: last week, was Guy nice In an age where far 1205 01:11:23,853 --> 01:11:27,973 Speaker 2: too many of us are increasingly adopting AI with reckless abandon. 1206 01:11:28,453 --> 01:11:32,133 Speaker 2: I concur with Guy that the key is to rediscover 1207 01:11:32,533 --> 01:11:35,333 Speaker 2: our humanity. I almost fell off my chair when you 1208 01:11:35,413 --> 01:11:39,573 Speaker 2: read a piece about cl One computer that is powered 1209 01:11:39,613 --> 01:11:45,173 Speaker 2: by lab grown brain cells. The CEO explained, we take 1210 01:11:45,453 --> 01:11:49,453 Speaker 2: blood or skin and we can transform them into stem cells, 1211 01:11:49,853 --> 01:11:54,413 Speaker 2: and from stem cells into brain cells or neurons that 1212 01:11:54,613 --> 01:12:00,973 Speaker 2: we then use for computing and intelligence. Close quote. So 1213 01:12:01,133 --> 01:12:05,293 Speaker 2: the matrix is real. There are some recent signs of hope, though. 1214 01:12:05,453 --> 01:12:09,133 Speaker 2: Stuff published Ian Taylor's recent open letter to cinder Adern, 1215 01:12:09,653 --> 01:12:13,693 Speaker 2: which chronicled her transformation from a warm blooded kindness and 1216 01:12:13,773 --> 01:12:18,173 Speaker 2: moting PM into a cold blooded iron curtain pr machine. 1217 01:12:19,093 --> 01:12:22,693 Speaker 2: Jaguars sales are down by ninety seven point five percent 1218 01:12:22,733 --> 01:12:28,613 Speaker 2: across Europe after their recent idiotic, woke LGBTQ rebranding exercise. 1219 01:12:29,213 --> 01:12:31,173 Speaker 2: I don't think you described that quite well enough. You 1220 01:12:31,213 --> 01:12:34,693 Speaker 2: could have been a bit more vicious. And Trump's Big 1221 01:12:34,853 --> 01:12:38,573 Speaker 2: Beautiful Bill might lead to the end of Planned Parenthood's 1222 01:12:38,653 --> 01:12:44,253 Speaker 2: abortion and baby Part's trading program. I like Guy Hatchard's 1223 01:12:44,253 --> 01:12:46,853 Speaker 2: solution to all this madness. He said, if we tap 1224 01:12:46,933 --> 01:12:49,373 Speaker 2: into who we are as human beings, we're going to 1225 01:12:49,413 --> 01:12:54,253 Speaker 2: get through this. Ultimately, we have to know ourselves. My 1226 01:12:54,453 --> 01:12:58,533 Speaker 2: question is will we rediscover our humanity faster than we're 1227 01:12:58,573 --> 01:13:01,773 Speaker 2: losing it? Very good way to put a good question, Ji, 1228 01:13:01,933 --> 01:13:06,813 Speaker 2: Thank you. Oh PS. I was shocked to hear from 1229 01:13:06,893 --> 01:13:10,853 Speaker 2: the New Zealand Initiative about the sudden passing of Professor 1230 01:13:10,893 --> 01:13:14,693 Speaker 2: Des Gorman, whom you've had on your podcast on multiple occasions. 1231 01:13:15,613 --> 01:13:17,693 Speaker 2: Very sad about this. 1232 01:13:21,173 --> 01:13:25,933 Speaker 4: Layton Steph says, since much has been said recently against 1233 01:13:25,973 --> 01:13:28,573 Speaker 4: the lifting of GMO regulations, I thought I would add 1234 01:13:28,613 --> 01:13:32,453 Speaker 4: a more positive opinion. Do people understand the way genetic 1235 01:13:32,573 --> 01:13:35,653 Speaker 4: modification has been done in the past for crop improvement. 1236 01:13:36,293 --> 01:13:40,973 Speaker 4: The technique used for decades involves applying chemicals to seeds 1237 01:13:41,093 --> 01:13:44,013 Speaker 4: in order to make random mutations all over the DNA, 1238 01:13:44,893 --> 01:13:47,853 Speaker 4: or by using radiation to do the same thing. There 1239 01:13:47,933 --> 01:13:50,613 Speaker 4: is no control where the mutations occur, and it is 1240 01:13:50,693 --> 01:13:53,973 Speaker 4: therefore blind hidden miss as to what happens to the plant. 1241 01:13:54,853 --> 01:14:00,493 Speaker 4: Genetic engineering, however, can be done precisely on targeted genes 1242 01:14:00,573 --> 01:14:04,013 Speaker 4: to get crop improvement. I would like to ask the 1243 01:14:04,093 --> 01:14:07,093 Speaker 4: people who are opposed to GE why they have been 1244 01:14:07,173 --> 01:14:11,533 Speaker 4: so silent on the clear really worse sledgehammer approaches. But 1245 01:14:11,813 --> 01:14:16,293 Speaker 4: despite this, no disastrous ecological nightmares have come about. So 1246 01:14:16,493 --> 01:14:21,373 Speaker 4: why would GE targeted approach now cause such fear mongering? 1247 01:14:22,053 --> 01:14:25,373 Speaker 4: Why not bring an actual genetic engineer to discuss this 1248 01:14:25,653 --> 01:14:27,653 Speaker 4: rather than people who do not work in the field. 1249 01:14:28,173 --> 01:14:31,253 Speaker 4: I am worried that a certain negative bias is coming 1250 01:14:31,333 --> 01:14:34,893 Speaker 4: across to your listener, says Steph. And actually Steph has 1251 01:14:34,973 --> 01:14:38,173 Speaker 4: written before, because at the beginning she said, did my 1252 01:14:38,333 --> 01:14:40,453 Speaker 4: last email get lost? Or did you choose not to 1253 01:14:40,533 --> 01:14:43,133 Speaker 4: read it out? I'm curious as to why if it 1254 01:14:43,293 --> 01:14:46,653 Speaker 4: was the latter, Steph, I think I can confidently say, 1255 01:14:46,893 --> 01:14:49,893 Speaker 4: as one of a team of two here that our 1256 01:14:50,653 --> 01:14:55,093 Speaker 4: filing system is pretty basic, so we've probably lost it, 1257 01:14:55,653 --> 01:14:56,013 Speaker 4: did we not? 1258 01:14:56,133 --> 01:14:56,333 Speaker 3: Later? 1259 01:14:56,453 --> 01:14:59,213 Speaker 2: I don't know the reason why I was going to 1260 01:14:59,253 --> 01:15:03,453 Speaker 2: try and find it online, and I suppose do so. 1261 01:15:04,733 --> 01:15:08,013 Speaker 4: She's got very busy, she's got she's got a very 1262 01:15:09,093 --> 01:15:10,213 Speaker 4: salient point. 1263 01:15:10,733 --> 01:15:15,253 Speaker 2: With regard to LGE. Well, I'll put it to you 1264 01:15:15,413 --> 01:15:18,373 Speaker 2: this way, apart from leave the no, I don't believe 1265 01:15:18,413 --> 01:15:21,573 Speaker 2: it aside a guy Hatchett has a long life of 1266 01:15:21,653 --> 01:15:25,893 Speaker 2: experience in working with such things. So that's point one. 1267 01:15:26,333 --> 01:15:30,173 Speaker 2: Point two is that the ability to look on the 1268 01:15:30,253 --> 01:15:33,333 Speaker 2: label of a can or a packet in a supermarket 1269 01:15:33,573 --> 01:15:36,173 Speaker 2: and see what's in it and what you might want 1270 01:15:36,213 --> 01:15:38,413 Speaker 2: to avoid. Therefore you won't buy it, or it's good 1271 01:15:38,493 --> 01:15:42,773 Speaker 2: or it's better along with carbohydrates and sugars and amino 1272 01:15:42,853 --> 01:15:45,693 Speaker 2: acids or whatever else they put on there. People do that, 1273 01:15:45,893 --> 01:15:48,893 Speaker 2: they do it a lot, and changes that are being 1274 01:15:48,973 --> 01:15:52,853 Speaker 2: made will prevent that from happening. You will not know 1275 01:15:53,253 --> 01:15:56,373 Speaker 2: that your product has been fiddled with by people who 1276 01:15:56,653 --> 01:15:59,813 Speaker 2: may or may not know what they're doing. And off 1277 01:15:59,893 --> 01:16:03,213 Speaker 2: the back of that, you've got exports to take into 1278 01:16:03,253 --> 01:16:06,093 Speaker 2: account where in other parts of the world they won't 1279 01:16:06,133 --> 01:16:09,693 Speaker 2: have a bar of it with the only country sorry, 1280 01:16:09,693 --> 01:16:12,933 Speaker 2: as I'm aware now from Jeff, Episode two ninety one 1281 01:16:13,173 --> 01:16:15,773 Speaker 2: was predictably good. I have followed guy Hatchet for a 1282 01:16:15,853 --> 01:16:19,453 Speaker 2: long time. Now let me get some hairs off my chest. 1283 01:16:19,973 --> 01:16:23,293 Speaker 2: Some things that infuriate me are those who, and I'm 1284 01:16:23,293 --> 01:16:26,653 Speaker 2: embarrassed to say it pretty much only happens in New Zealand, 1285 01:16:27,133 --> 01:16:29,893 Speaker 2: but it's those who say dub dub dub as opposed 1286 01:16:29,893 --> 01:16:33,173 Speaker 2: to www. Another thing which I'll come back to that 1287 01:16:33,573 --> 01:16:36,373 Speaker 2: another thing which gets the hair on edge of those 1288 01:16:36,893 --> 01:16:40,173 Speaker 2: and this is confined mainly to the media. It's those 1289 01:16:40,293 --> 01:16:44,573 Speaker 2: who say t's and c's. This started some time back, 1290 01:16:44,773 --> 01:16:47,013 Speaker 2: and it bugs me simply because I believe it is 1291 01:16:47,093 --> 01:16:51,893 Speaker 2: based on the postmodernist theory where nothing has meaning. Of course, 1292 01:16:51,933 --> 01:16:55,493 Speaker 2: it means terms and conditions, but how do the physically 1293 01:16:56,013 --> 01:17:01,093 Speaker 2: challenged know that when they're signing sales documents unless someone 1294 01:17:01,133 --> 01:17:03,973 Speaker 2: points it out. Another huge hate for me is the 1295 01:17:04,093 --> 01:17:08,013 Speaker 2: constant usage of the name aat a rower. Now you're cooking, 1296 01:17:08,093 --> 01:17:13,013 Speaker 2: now the gas is flowing, either attached to or instead 1297 01:17:13,053 --> 01:17:16,013 Speaker 2: of our real name New Zealand, and the way businesses 1298 01:17:16,093 --> 01:17:19,413 Speaker 2: feel the need to substitute English words for Mary words 1299 01:17:19,733 --> 01:17:22,733 Speaker 2: at the drop of a hat, either in written correspondence 1300 01:17:22,813 --> 01:17:26,013 Speaker 2: or verbally. I find it very condescending and it is 1301 01:17:26,573 --> 01:17:31,053 Speaker 2: mongrelizing both languages. To be frank, I'm sorry to vent 1302 01:17:31,173 --> 01:17:33,213 Speaker 2: to you this way, but my wife has given up 1303 01:17:33,253 --> 01:17:37,173 Speaker 2: listening to me and my ventings, so rather than bang 1304 01:17:37,253 --> 01:17:44,493 Speaker 2: my head against the wall, I write, LOL, that's funny, yes, 1305 01:17:44,773 --> 01:17:48,853 Speaker 2: very Now go back to the dubww and the www. 1306 01:17:49,493 --> 01:17:52,293 Speaker 2: I don't know anybody who says that anymore. Nobody you 1307 01:17:52,373 --> 01:17:52,893 Speaker 2: don't need it. 1308 01:17:53,093 --> 01:17:55,493 Speaker 4: Well you don't, you don't use the that was right 1309 01:17:55,533 --> 01:17:57,093 Speaker 4: at the beginning, I know, so. 1310 01:17:57,413 --> 01:18:00,333 Speaker 2: Why I mean, well I haven't heard that for ages. 1311 01:18:01,573 --> 01:18:03,573 Speaker 2: And there was one other part there too, what was it? 1312 01:18:05,573 --> 01:18:08,773 Speaker 2: T and CS seas and C's tell you one reason 1313 01:18:08,853 --> 01:18:12,453 Speaker 2: teas and sees is utilized because when you're doing a 1314 01:18:12,493 --> 01:18:16,053 Speaker 2: thirty second radio commercial, for instance, right, and you're recording 1315 01:18:16,093 --> 01:18:19,453 Speaker 2: it and you're trying to jam in everything you can. 1316 01:18:20,493 --> 01:18:25,413 Speaker 2: I'm talking about the advertising companies, the company they're advertising for, 1317 01:18:25,613 --> 01:18:28,613 Speaker 2: trying to fit as much information as possible terms and 1318 01:18:28,773 --> 01:18:33,813 Speaker 2: conditions takes up much more time than Te's and C's does. 1319 01:18:34,933 --> 01:18:36,893 Speaker 2: Take my word for it, but it's one of. 1320 01:18:36,893 --> 01:18:38,813 Speaker 4: The reasons it's life, isn't it. I Mean, there are 1321 01:18:38,893 --> 01:18:41,933 Speaker 4: things that all of us that grind all of our gears, 1322 01:18:42,093 --> 01:18:43,213 Speaker 4: just personally. 1323 01:18:43,533 --> 01:18:48,333 Speaker 2: You've got the and he recognizes that he's just launching off. 1324 01:18:49,293 --> 01:18:52,413 Speaker 4: Layton Don says, sitting here listening to Guy Hatchett, I 1325 01:18:52,653 --> 01:18:55,893 Speaker 4: pondered back to the UN resolution on the Earth's population 1326 01:18:56,253 --> 01:18:59,173 Speaker 4: and their desire to do something to reduce it or 1327 01:18:59,213 --> 01:19:02,893 Speaker 4: at least arrest its growth, as expounded by a number 1328 01:19:02,933 --> 01:19:06,853 Speaker 4: of your very informed and fascinating podcasts, some of which 1329 01:19:06,893 --> 01:19:11,053 Speaker 4: have sent shivers down my space. COVID and its subsequent 1330 01:19:11,253 --> 01:19:14,813 Speaker 4: vaccine were derived from and I assume in the case 1331 01:19:14,853 --> 01:19:19,893 Speaker 4: of Wuhan genetic Labs, I wonder if, as a conspiracist, 1332 01:19:20,133 --> 01:19:23,453 Speaker 4: there could be a link here. Guys, optimism is a 1333 01:19:23,533 --> 01:19:27,213 Speaker 4: panacea for the ills society faces. Keep up the great 1334 01:19:27,613 --> 01:19:30,653 Speaker 4: I was going to say, good work, but it deserves better, 1335 01:19:31,533 --> 01:19:35,693 Speaker 4: and keep bringing these fascinating podcasts to our doorstep. 1336 01:19:36,413 --> 01:19:42,533 Speaker 2: That's from don don appreciate that. Thank you all right now. Now, 1337 01:19:42,573 --> 01:19:46,213 Speaker 2: I've gone through the emails after the podcast back in 1338 01:19:47,013 --> 01:19:50,453 Speaker 2: twenty twenty one and pulled out just a few of 1339 01:19:50,573 --> 01:19:53,013 Speaker 2: a number. And by the way, there's a whole lot 1340 01:19:53,093 --> 01:19:56,293 Speaker 2: more in twenty three, in particular when dev was on 1341 01:19:56,453 --> 01:19:59,733 Speaker 2: again more than once, missus producer, Why did you lead 1342 01:19:59,813 --> 01:20:01,653 Speaker 2: off ladon? 1343 01:20:01,693 --> 01:20:04,613 Speaker 4: This is from Steve. What a brilliant and rational thinker 1344 01:20:04,693 --> 01:20:08,893 Speaker 4: Professor des Gorman is. His knowledge and achievements outstanding, and 1345 01:20:09,013 --> 01:20:11,773 Speaker 4: his delivery style is so engaging that I could listen 1346 01:20:11,813 --> 01:20:14,053 Speaker 4: to him all day and learn something of value with 1347 01:20:14,133 --> 01:20:17,013 Speaker 4: every sentence. I would go as far to say that 1348 01:20:17,053 --> 01:20:18,973 Speaker 4: he was the best guest you've ever had. 1349 01:20:19,893 --> 01:20:23,493 Speaker 2: Well, I don't blame you for saying that. Now this 1350 01:20:23,613 --> 01:20:27,493 Speaker 2: one is interesting. Hello, Layton, my brother Bryce from Brisbane. 1351 01:20:27,653 --> 01:20:29,653 Speaker 2: It's the same one who I believe you know well, 1352 01:20:30,173 --> 01:20:32,333 Speaker 2: has sent me the podcast that you ran this week 1353 01:20:32,413 --> 01:20:34,933 Speaker 2: with Des Gorman. I found it very interesting and one 1354 01:20:34,973 --> 01:20:38,733 Speaker 2: I agreed with in many places, if not all. I 1355 01:20:38,853 --> 01:20:41,413 Speaker 2: feel New Zealand is sadly a country where she'll be 1356 01:20:41,533 --> 01:20:44,173 Speaker 2: right and sadly she won't be right if it's not 1357 01:20:44,333 --> 01:20:47,293 Speaker 2: done properly. We do not seem to have the capacity 1358 01:20:47,453 --> 01:20:51,213 Speaker 2: or drive. Perhaps it's the finances and other drivers to 1359 01:20:51,333 --> 01:20:54,533 Speaker 2: dot our eyes and cross our teas. I see this 1360 01:20:54,813 --> 01:20:58,133 Speaker 2: is rampant across the food industry in which I work 1361 01:20:58,213 --> 01:21:01,293 Speaker 2: as a supplier of equipment, and it drives me crazy. 1362 01:21:01,773 --> 01:21:05,653 Speaker 2: Thank you for the informative podcast, Scott. Scott, I have 1363 01:21:05,773 --> 01:21:09,253 Speaker 2: something from your brother in Brisbane, but I was going 1364 01:21:09,333 --> 01:21:12,493 Speaker 2: to utilize it today, but I'm not because of the 1365 01:21:12,653 --> 01:21:16,933 Speaker 2: nature of things. But you are quite right and I appreciate. 1366 01:21:16,533 --> 01:21:21,653 Speaker 4: It, Layton. Steve says, wow, just wow. Please keep doing 1367 01:21:21,733 --> 01:21:24,733 Speaker 4: what you do. The relatively normal amongst us need to 1368 01:21:24,773 --> 01:21:28,133 Speaker 4: be exposed to the good people you interview to broadcast 1369 01:21:28,373 --> 01:21:31,813 Speaker 4: Professor Gorman for Prime Minister would be insulting the man. 1370 01:21:32,333 --> 01:21:36,613 Speaker 2: Now, this one is very special. So often enjoyment and 1371 01:21:36,613 --> 01:21:40,533 Speaker 2: appreciation of webcasts depends on one's ability to relate to 1372 01:21:40,613 --> 01:21:44,013 Speaker 2: the subject. Well, that's how it works for me, he says, 1373 01:21:44,893 --> 01:21:49,053 Speaker 2: in listening to the Professor des Gorman interview, I can 1374 01:21:49,173 --> 01:21:52,453 Speaker 2: relate one hundred percent of his comments and views, and 1375 01:21:52,573 --> 01:21:55,853 Speaker 2: I am in awe of his clarity and the electricity 1376 01:21:55,933 --> 01:21:59,813 Speaker 2: of his knowledge. I'll be playing it again and again. 1377 01:22:00,693 --> 01:22:04,173 Speaker 2: A really great interview, Layton, classic and foreboding and right 1378 01:22:04,253 --> 01:22:06,333 Speaker 2: on the button. And I have to tell you that 1379 01:22:06,453 --> 01:22:09,173 Speaker 2: that is so. That was written by my closest friend 1380 01:22:09,813 --> 01:22:12,613 Speaker 2: who preceded Dez by three years. 1381 01:22:12,973 --> 01:22:18,333 Speaker 4: Yes, Leighton Darling Ray Podcast one oh five says, Paul 1382 01:22:19,333 --> 01:22:22,893 Speaker 4: is the highlight of twenty twenty one. Completely lost for words. Therefore, 1383 01:22:22,933 --> 01:22:24,693 Speaker 4: we'll go back and listen to it again to try 1384 01:22:24,733 --> 01:22:27,293 Speaker 4: and get my head around just how good Dez Gorman is. 1385 01:22:27,813 --> 01:22:29,653 Speaker 4: I will add a wow to your. 1386 01:22:29,613 --> 01:22:33,573 Speaker 2: Two gus, listen to your interview with Dez gordman excellence. 1387 01:22:33,653 --> 01:22:35,933 Speaker 2: You've had so many great interviews, this one is right 1388 01:22:36,093 --> 01:22:39,413 Speaker 2: up there. He is such an accomplished individual. His talents 1389 01:22:39,493 --> 01:22:43,333 Speaker 2: could be used too much greater effect In so many areas, 1390 01:22:44,213 --> 01:22:47,613 Speaker 2: so many different areas for the betterment of policy and 1391 01:22:47,813 --> 01:22:51,533 Speaker 2: outcomes in New Zealand. However, if you don't toe the 1392 01:22:51,653 --> 01:22:57,733 Speaker 2: party line, you're ignored. Well done from someone I believe 1393 01:22:57,813 --> 01:22:59,053 Speaker 2: has a sur in front. 1394 01:22:58,853 --> 01:23:03,213 Speaker 4: Of his name, Layton John says, too much to take 1395 01:23:03,293 --> 01:23:05,893 Speaker 4: in in one session. I'd like it in written form 1396 01:23:05,973 --> 01:23:08,173 Speaker 4: so that I could study the topics discuss more close. 1397 01:23:08,853 --> 01:23:11,613 Speaker 4: I was very impressed with what was said, and that's 1398 01:23:11,653 --> 01:23:12,693 Speaker 4: from a job John. 1399 01:23:13,173 --> 01:23:15,453 Speaker 2: The good news is, of course, because that was written 1400 01:23:15,533 --> 01:23:18,933 Speaker 2: three four years ago. The good news is that now 1401 01:23:19,253 --> 01:23:24,173 Speaker 2: everything is translated from the verbal into the written word 1402 01:23:24,613 --> 01:23:29,453 Speaker 2: on the podcast. It's something I hadn't mentioned because I'd 1403 01:23:29,453 --> 01:23:33,013 Speaker 2: actually forgotten about it until just then. So you can 1404 01:23:33,173 --> 01:23:37,253 Speaker 2: read it and it's it's ai really working in both 1405 01:23:37,293 --> 01:23:38,373 Speaker 2: directions anyway. 1406 01:23:38,613 --> 01:23:41,373 Speaker 4: Last one, last one lighton. Michael says, golly, that was 1407 01:23:41,453 --> 01:23:42,653 Speaker 4: one hell of a podcast. 1408 01:23:42,773 --> 01:23:45,573 Speaker 2: Good stuff exactly, Thank you missus producing. 1409 01:23:45,413 --> 01:23:47,333 Speaker 4: That encapsulates what everybody thought. 1410 01:23:47,173 --> 01:23:51,973 Speaker 2: Of deares pretty much. So we shall see you next week. 1411 01:23:52,093 --> 01:23:55,213 Speaker 2: You will, and no more bad news in the intervening 1412 01:23:55,293 --> 01:23:59,853 Speaker 2: periods if you don't mind, and so that will take 1413 01:23:59,933 --> 01:24:02,093 Speaker 2: us out for podcasts number two hundred and eighty two 1414 01:24:02,133 --> 01:24:04,733 Speaker 2: if you want to write to us Layton at newstalks 1415 01:24:04,773 --> 01:24:06,773 Speaker 2: ABE dot co dot mz or Carolyn with a y 1416 01:24:07,293 --> 01:24:11,973 Speaker 2: C Arol y N at Newstalk ZB dot co dot 1417 01:24:12,413 --> 01:24:15,733 Speaker 2: m z. And as always, there's only one thing left 1418 01:24:15,973 --> 01:24:19,093 Speaker 2: to say, Thank you for listening and we'll talk soon. 1419 01:24:27,013 --> 01:24:30,613 Speaker 1: Thank you for more from News Talk zed B. Listen 1420 01:24:30,733 --> 01:24:33,653 Speaker 1: live on air or online, and keep our shows with 1421 01:24:33,813 --> 01:24:36,933 Speaker 1: you wherever you go with our podcasts on iHeartRadio