WEBVTT - Leighton Smith Podcast #291 - July 2nd 2025 - Guy Hatchard 0:00:09.093 --> 0:00:11.973 You're listening to a podcast from news talks it B. 0:00:12.373 --> 0:00:16.173 Follow this and our wide range of podcasts now on iHeartRadio. 0:00:16.693 --> 0:00:19.733 It's time for all the attitude, all the opinion, all 0:00:19.773 --> 0:00:24.813 the information, all the debates of the now, the Leighton 0:00:24.933 --> 0:00:27.613 Smith Podcast powered by news talks it B. 0:00:27.933 --> 0:00:31.613 Welcome to podcast two hundred and ninety one for July second, 0:00:31.813 --> 0:00:36.093 twenty twenty five. The Guy Hatchard Report. Over the last 0:00:36.093 --> 0:00:40.613 couple of weeks published some interesting and I think important commentary. 0:00:41.093 --> 0:00:46.133 The earliest one published June thirteen, California Dreaming, which refers 0:00:46.213 --> 0:00:51.333 to matters concerning AI. Then on the eighteenth of June, 0:00:51.653 --> 0:00:55.693 how sick is New Zealand What should be done? Makes 0:00:55.693 --> 0:00:59.013 for interesting reading? And then on the twenty ninth of June, 0:00:59.213 --> 0:01:02.173 the desire to stay alive and the capacity to give 0:01:02.213 --> 0:01:04.933 birth are under threat. So let's look at that for 0:01:04.933 --> 0:01:08.893 a moment. After five and a half years examining pandemic evidence, 0:01:09.253 --> 0:01:12.053 it's clear who should be winning the argument, but it's 0:01:12.053 --> 0:01:17.013 also apparent that attitudes have even hardened. This week, Tanya 0:01:17.093 --> 0:01:20.573 Unkovich resigned as an MP. Up until now, she had 0:01:20.613 --> 0:01:25.813 been our advocate inside the government, urging caution about biotechnology deregulation. 0:01:26.813 --> 0:01:31.613 It seems probable that her unexpected resignation signals the determination 0:01:31.813 --> 0:01:34.693 on the part of the coalition, including New Zealand First, 0:01:35.133 --> 0:01:39.413 to ignore caution. There appears to be a growing determination 0:01:39.533 --> 0:01:42.973 to push ahead with the Gene Technology Bill, which will 0:01:42.973 --> 0:01:47.933 impose medical hegemony and genetic destruction on the whole population. 0:01:48.453 --> 0:01:52.133 There are overseas interests egging the government on. We are 0:01:52.133 --> 0:01:57.373 dealing with fanatics for whom evidence can be ignored with impunity. 0:01:57.773 --> 0:02:01.213 And then there's some other input into this discussion that 0:02:01.333 --> 0:02:04.693 has nothing to do whatsoever with Guy Hatchet and the 0:02:04.813 --> 0:02:08.173 Guy Hatchard report. For instance, I came across to site 0:02:08.173 --> 0:02:11.933 the I was totally unaware of Patriot Post and an 0:02:12.093 --> 0:02:16.773 article by Laura Hollis the political footprint of settled Science, 0:02:17.413 --> 0:02:22.733 which really gave rise to the podcast Interview Today. Now 0:02:22.733 --> 0:02:24.893 it's a case of one thing leads to another. This 0:02:25.053 --> 0:02:28.573 article by Hollis refers to will let me read it. 0:02:28.853 --> 0:02:32.493 Last week, science writer Christopher Plain published a story in 0:02:32.573 --> 0:02:38.533 the online magazine The Debrief. The Debrief, which describes its 0:02:38.733 --> 0:02:44.453 subject matter as science, tech, and defense for the rebelliously 0:02:44.573 --> 0:02:48.773 curious that interested me. It was about fossilized human footprints 0:02:48.773 --> 0:02:53.173 found in a desiccated lake bed in White Sands, New Mexico, 0:02:53.493 --> 0:02:56.413 and it has to do with the history of human 0:02:56.493 --> 0:03:00.333 beings and their arrival in the Americas. The discovery not 0:03:00.413 --> 0:03:04.253 only radically changed our perspective on the migration of ancient peoples, 0:03:04.573 --> 0:03:09.053 it provides yet another warning about undue reliance upon what 0:03:09.213 --> 0:03:13.813 has come to be called settled science, and Hollis continues 0:03:13.853 --> 0:03:17.253 on to a number of examples. It was settled science 0:03:17.253 --> 0:03:20.653 that COVID nineteen jumped species at of wu Hun markets, 0:03:20.693 --> 0:03:22.813 and that we were to pay no attention to the 0:03:22.853 --> 0:03:26.813 International Virology lab behind the curtain, or the gain of 0:03:26.853 --> 0:03:32.173 function research that we weren't funding except when we were. 0:03:33.093 --> 0:03:37.413 It was settled science that the mRNA shots for COVID 0:03:37.493 --> 0:03:41.293 nineteen were safe and effective, even though they didn't prevent 0:03:41.853 --> 0:03:46.333 contraction or transmission of the disease. And there have been 0:03:46.373 --> 0:03:51.453 thousands of cases, many fatal myocarditis and pericarditis in young people. 0:03:51.933 --> 0:03:55.533 Other potential adverse effects are now being studied as well. 0:03:55.693 --> 0:03:59.333 The party line is still that the shots are safe. 0:03:59.493 --> 0:04:03.293 We'll see. The science around climate change isn't settled either. 0:04:03.853 --> 0:04:07.693 The science around climate change isn't settled either. And I 0:04:07.773 --> 0:04:11.413 referred to another article that I printed on the twenty 0:04:11.493 --> 0:04:16.573 eighth of June nineteen hundred. That's one nine hundred scientists 0:04:16.573 --> 0:04:20.413 say climate change not caused by CO two the real 0:04:20.573 --> 0:04:24.893 environment movement was hijacked. Now that is written by a 0:04:24.893 --> 0:04:27.853 man with a science background, and we will get to that, 0:04:28.693 --> 0:04:32.893 I believe, on another occasion in the in the near future. Now, 0:04:32.933 --> 0:04:35.493 the discussion with Guy Hatchet that follows is a very 0:04:35.493 --> 0:04:38.493 interesting one in my opinion, and I value my opinion. 0:04:38.853 --> 0:04:41.493 Now at the back end of the podcast, after the 0:04:41.493 --> 0:04:44.453 mail room, there's a couple of very interesting matters that 0:04:44.493 --> 0:04:47.173 I'll share and I'll be very interested in your reaction 0:04:47.253 --> 0:04:51.013 to that also, So after a short break, Guy Hatchet, 0:04:51.853 --> 0:04:55.693 Laton Smith. Buckerlan is a natural oral vaccine in a 0:04:55.733 --> 0:04:59.413 tablet form called bacterial I say it'll boost your natural 0:04:59.453 --> 0:05:02.973 protection against bacterial infections in your chest and throat. A 0:05:03.013 --> 0:05:05.773 three day course of seven bugel and tablets will help 0:05:05.773 --> 0:05:08.853 your body build up to three months of immunity against 0:05:08.933 --> 0:05:12.893 bugs which cause bacterial cold symptoms. So who can take 0:05:12.933 --> 0:05:15.853 buccolan well, the whole family From two years of age 0:05:15.893 --> 0:05:19.453 and upwards. A course of Buccolan tablets offers cost effective 0:05:19.493 --> 0:05:23.573 and safe protection from colds and chills. Protection becomes effective 0:05:23.773 --> 0:05:26.613 a few days after you take buccolan and lasts for 0:05:26.773 --> 0:05:29.853 up to three months following the three day course. Buccolin 0:05:29.893 --> 0:05:32.733 can be taken throughout the cold season, over winter, or 0:05:32.773 --> 0:05:35.613 all the year round. And remember Buckelan is not intended 0:05:35.693 --> 0:05:39.413 as an alternative to influenza vaccination, but may be used 0:05:39.413 --> 0:05:43.173 along with the flu vaccination for added protection. And keep 0:05:43.213 --> 0:05:45.773 in mind that millions of doses have been taken by 0:05:45.853 --> 0:05:49.693 Kiwis for over fifty years. Only available from your pharmacist. 0:05:49.933 --> 0:05:53.253 Always read the label and users directed, and see your 0:05:53.253 --> 0:06:06.493 doctor if systems persist. Farmer Broker or Clum Layton Smith, 0:06:07.573 --> 0:06:09.933 Guy Hatchett's very good to have you back on the podcast. 0:06:09.973 --> 0:06:11.653 Thank you wonderful to be here. 0:06:12.093 --> 0:06:15.653 Earlier on in the podcast, I began with something from 0:06:15.693 --> 0:06:19.293 the political footprint of settled science. I want to pick 0:06:19.333 --> 0:06:22.373 it up from where I left it and move into 0:06:22.453 --> 0:06:26.173 what we're going to talk about this way. So let 0:06:26.213 --> 0:06:29.893 me quote that's the way real science works. Even the 0:06:29.893 --> 0:06:33.253 most established theories can be questioned, and while defenders of 0:06:33.293 --> 0:06:36.613 the status quo will demand a lot of evidence, what 0:06:36.813 --> 0:06:40.853 we know will change when new information proves the old 0:06:40.893 --> 0:06:47.653 ways of thinking false. But science becomes a very different process, rigid, 0:06:48.013 --> 0:06:52.813 intolerant of dissent, and dangerous when it gets yoked to politics. 0:06:53.573 --> 0:06:55.973 Questions are no longer permitted because now it's not just 0:06:56.293 --> 0:07:00.093 some obscure academics pet theory that's at stake. It's a 0:07:00.133 --> 0:07:03.933 platform of policy objectives that an entire political party is 0:07:03.933 --> 0:07:07.053 seeking to force down the public's throat or other parts 0:07:07.053 --> 0:07:10.573 of their bodies, as may be the I and others 0:07:10.613 --> 0:07:13.653 have written about this, says the author. In twenty seventeen, 0:07:13.693 --> 0:07:16.453 I wrote What Margarine Can Teach Us About Climate Change, 0:07:16.773 --> 0:07:20.933 an article about doctor Paul Offitt's book Pandora's Lab. Seven 0:07:21.013 --> 0:07:25.173 Stories of Science Gone Wrong. The government chose to discourage 0:07:25.213 --> 0:07:28.333 consumption of dairy products in favor of seed oils on 0:07:28.373 --> 0:07:34.493 the basis of flawed and incomplete information, with deleterious health consequences. 0:07:35.213 --> 0:07:37.613 Two years later, I wrote another article that explained how 0:07:37.653 --> 0:07:42.853 governments around the world mandated sterilizations, coerced abortions, and promoted 0:07:42.973 --> 0:07:48.813 infanticide in response to fear mongering and false predictions about 0:07:49.093 --> 0:07:55.333 a population explosion. One dead giveaway that academic inquiry has 0:07:55.373 --> 0:08:00.613 been hijacked by politics is the term settled science, so 0:08:00.933 --> 0:08:04.813 we're told it's settled science. The childhood vaccines are safe 0:08:05.293 --> 0:08:07.653 until we learn that none have been the subject of 0:08:07.693 --> 0:08:11.813 long term tis against placebos, and some researchers are now 0:08:11.893 --> 0:08:16.093 investigating possible connections between vaccinations and sudden infant death syndrome. 0:08:16.813 --> 0:08:21.253 Those defending the current vaccination schedule insists that these new 0:08:21.333 --> 0:08:26.653 inquiries are nonsense. We'll see and I must include this. 0:08:27.213 --> 0:08:30.693 The science around climate change isn't settled either. That the 0:08:30.733 --> 0:08:34.973 climate changes is certain, the extent to which human activity 0:08:35.093 --> 0:08:38.053 changes it is not. When I was in high school, 0:08:38.053 --> 0:08:39.973 we were warned about the coming ice age. By the 0:08:40.013 --> 0:08:42.813 time I was in law school it was global warming. 0:08:43.173 --> 0:08:47.973 Predictions about the Ozone hole and Antarctica have been wrong. 0:08:49.093 --> 0:08:53.333 Science is a process, not a result. Now that was 0:08:53.413 --> 0:08:56.733 a long introduction, but I thought it was quite relevant. 0:08:57.493 --> 0:09:03.453 Written by Laura Hollis from the Patriot Post. There anything 0:09:03.453 --> 0:09:04.613 in there that you'd comment on? 0:09:06.413 --> 0:09:12.053 Well, I think the history of science and scientific ideas 0:09:12.173 --> 0:09:16.373 and papers at university, and whenever you get a big 0:09:16.453 --> 0:09:23.893 paradigm change, you enter a period of science where you 0:09:23.973 --> 0:09:27.653 have competing ideas and some people can change and some 0:09:27.773 --> 0:09:32.253 people can't. Change, and we're certainly into that era now. 0:09:32.373 --> 0:09:38.693 But as you, as the author said, the politicization of 0:09:38.773 --> 0:09:45.293 science is a huge mistake because, as we know, politicians 0:09:45.373 --> 0:09:50.773 are driven by ideas which are foreign to science. They 0:09:50.813 --> 0:09:56.973 have to do with economic and social ideas which are 0:09:57.013 --> 0:10:00.933 a long long way from scientific understanding in its most 0:10:01.013 --> 0:10:01.853 rigorous sense. 0:10:03.053 --> 0:10:06.293 You've been You've been writing a lot over the last 0:10:06.373 --> 0:10:09.813 few weeks. I think more than more than normal maybe. 0:10:10.893 --> 0:10:14.173 And the first one that the first article that took 0:10:14.213 --> 0:10:18.053 my attention. They all do, but seriously took my attention. 0:10:18.093 --> 0:10:20.333 If you know what I mean, how sick is New 0:10:20.413 --> 0:10:24.653 Zealand and what should be done? Where do you go 0:10:24.733 --> 0:10:24.973 with that? 0:10:26.253 --> 0:10:32.973 Well, this is something that should be absolutely dominating the 0:10:33.013 --> 0:10:38.933 air waves, but it's something that is completely forgotten. Southern 0:10:38.973 --> 0:10:44.293 Cross has come out with its annual report. That's a 0:10:44.333 --> 0:10:49.893 health insurer, and they report that thirty three percent of 0:10:49.933 --> 0:10:55.253 its members made a health claim in twenty nineteen. In 0:10:55.333 --> 0:11:00.973 twenty twenty four, fifty percent, that's half claimed under their 0:11:01.013 --> 0:11:05.813 health insurance scheme, and that represents a whopping fifty percent 0:11:05.933 --> 0:11:11.333 increase in sickness. And that comes out at about one 0:11:11.413 --> 0:11:16.413 hundred and fifty eight thousand more sick Southern Cross Cross 0:11:16.493 --> 0:11:24.893 clients coming up since twenty nineteen, and if they only 0:11:25.133 --> 0:11:27.933 ensure twenty percent of the population, So if you scale 0:11:27.973 --> 0:11:32.093 that up, we've got seven one hundred and eighty eight 0:11:32.173 --> 0:11:35.693 thousand more sick kiwis in twenty twenty four compared to 0:11:35.693 --> 0:11:41.533 twenty nineteen. That's an extra fifteen percent of the population 0:11:41.613 --> 0:11:47.293 who are getting sick at this time. And that's staggering. 0:11:48.093 --> 0:11:54.413 And that joins a whole huge range of changes in 0:11:54.453 --> 0:12:00.973 our health problem profile. We have rates of disability, we 0:12:01.093 --> 0:12:05.573 have rates of chest pain, asthma, mental illness, kidney disease, 0:12:05.733 --> 0:12:11.053 heart attacks, strokes, ents for all difficulties, and birth rates, cancer, 0:12:11.133 --> 0:12:18.453 sick days or with off. The chart increases since the pandemic, 0:12:19.453 --> 0:12:23.693 and more particularly not the pandemic, so much has since 0:12:23.773 --> 0:12:27.133 twenty twenty one when the vaccination campaign began. 0:12:28.133 --> 0:12:33.013 I I asked the random question of a medico only 0:12:33.093 --> 0:12:36.893 recently that I was just having a discussion with or 0:12:36.933 --> 0:12:42.093 with whom I was just having a discussion, And I said, 0:12:43.613 --> 0:12:51.893 considering what we know now, what chance, for instance, that 0:12:52.373 --> 0:12:57.453 my issue, which was a heart attack in twenty two 0:12:58.413 --> 0:13:02.813 that was connected with the two opening shots that I 0:13:02.893 --> 0:13:05.613 got because I didn't get any more, put a stop 0:13:05.653 --> 0:13:09.733 to it. And the answer was along the lines of, 0:13:09.813 --> 0:13:13.893 well that's something The answer was, well, that's something that 0:13:13.933 --> 0:13:15.053 nobody knows the answer to. 0:13:15.893 --> 0:13:17.773 Well, we do know the answer to it, don't we. 0:13:17.893 --> 0:13:24.133 Because studies are being published, you know, definitive studies looking 0:13:24.173 --> 0:13:29.013 at a very wide range of illnesses, comparing the outcomes 0:13:29.053 --> 0:13:33.293 for vaccinated and unvaccinated. And here in New Zealand, it's 0:13:33.373 --> 0:13:35.853 become a political dogma to put your head in the 0:13:35.893 --> 0:13:38.653 sand and not say anything. One of the reasons is 0:13:38.853 --> 0:13:42.653 is that General Medical Council may jump on you and 0:13:42.733 --> 0:13:46.653 you might lose your job, or the government might sue you, 0:13:48.933 --> 0:13:53.213 sach you, sue you and imprison you even for going 0:13:53.253 --> 0:13:58.293 against the political dogma that vaccination was a wonderful thing, 0:13:58.413 --> 0:13:59.693 like the COVID vaccination. 0:14:00.453 --> 0:14:07.653 But the statistics and the detail that is now known 0:14:07.733 --> 0:14:11.293 doesn't let over right what the government was saying and 0:14:11.493 --> 0:14:13.133 might still be saying in some quarters. 0:14:14.453 --> 0:14:18.053 Absolutely. I mean, we have to wake up, we have 0:14:18.133 --> 0:14:21.853 to wake up to the reality and we have to 0:14:21.933 --> 0:14:28.533 face the consequences. This is a yeah, what's happening is 0:14:28.573 --> 0:14:33.573 that the government is saying people are becoming workshy there 0:14:34.133 --> 0:14:37.213 you know, because the disability rates are up so high 0:14:37.253 --> 0:14:40.533 and the sick days are up so high, and therefore 0:14:40.613 --> 0:14:42.813 we have to sort of force people back to work. 0:14:42.853 --> 0:14:45.293 But the answer is really rather simple when you look 0:14:45.293 --> 0:14:48.173 at the stats is people are becoming more sick, and 0:14:48.213 --> 0:14:53.173 they're more sick with more serious illnesses. We're seeing now 0:14:53.853 --> 0:14:56.733 for the first time in fifty years that the rate 0:14:56.773 --> 0:15:01.093 of heart attacks is increasing and the rate of rate 0:15:01.133 --> 0:15:05.133 of deaths from heart disease is increasing. We're, as one 0:15:06.133 --> 0:15:09.893 person put it in the UK, this is we've set 0:15:09.933 --> 0:15:16.093 ourselves back fifteen years as far as cardiac illness and 0:15:16.133 --> 0:15:21.333 strokers concerned, diso for cancers, and the media needs to 0:15:21.413 --> 0:15:24.533 step up here. I mean, we've got a diet of 0:15:25.013 --> 0:15:30.253 headlines that say, you know, family tragedy, mother or father 0:15:30.453 --> 0:15:34.933 struck down with cancer, or yesterday I think we saw 0:15:35.333 --> 0:15:38.893 filmmaker went to sleep and didn't wake up and so on. 0:15:39.213 --> 0:15:43.453 We're sort of they're sensationalizing what's going on. But you 0:15:43.493 --> 0:15:49.253 look at the hard statistics and these the increases are enormous. 0:15:49.853 --> 0:15:55.613 I mean, they're they're frighteningly enormous, and we have to backtrack. 0:15:55.733 --> 0:15:58.493 And quite frankly, I don't care whether it's the vaccine 0:15:59.413 --> 0:16:02.613 or the COVID. I mean, the evidence, in my opinion, 0:16:02.893 --> 0:16:06.013 points very strongly to the vaccine, But whether it's the 0:16:06.093 --> 0:16:09.533 vaccine or COVID doesn't really matter. They both came out 0:16:09.533 --> 0:16:13.973 of a biotech lab and we've made a huge mistake 0:16:14.093 --> 0:16:19.333 going down a route that is affecting the capacity of 0:16:19.413 --> 0:16:22.293 the immune system to function. That's the end of it. 0:16:22.333 --> 0:16:26.333 That's the end of the story. And people it now, 0:16:26.493 --> 0:16:31.173 they're resisting it because they're deeply invested in this parrot, 0:16:31.173 --> 0:16:36.333 in this genetic paradigm that we can alter people's genetics 0:16:36.373 --> 0:16:38.533 and make them live longer and be more healthy. It 0:16:38.613 --> 0:16:39.693 just simply isn't true. 0:16:40.773 --> 0:16:41.693 How do you prove that? 0:16:43.173 --> 0:16:47.493 Well, you know, it's very simple. You know, from a 0:16:47.533 --> 0:16:51.093 mathematical point of view, from a statistical point of view, 0:16:51.813 --> 0:16:57.573 you have to use time series analysis. The key is 0:16:57.693 --> 0:17:02.453 when did something occurred? If you did A and B happens, 0:17:02.973 --> 0:17:07.613 then you're you know, you suspect. But if you do 0:17:08.693 --> 0:17:11.973 A again and B happens again, then you get a 0:17:11.973 --> 0:17:17.013 bit more sure, and with each step the certainty of 0:17:17.053 --> 0:17:20.813 your conclusion increases. This is what time series analysis does. 0:17:20.933 --> 0:17:24.813 A follow B or B follow A, and then you 0:17:24.933 --> 0:17:28.573 get to what's at the root of the causation here, 0:17:28.693 --> 0:17:32.493 and we're way past that in terms of the statistical analysis. 0:17:32.533 --> 0:17:37.653 It's just that governments have wanted to hide their tracks. 0:17:37.773 --> 0:17:41.493 And this is where you started out, the politicization of science. 0:17:41.893 --> 0:17:47.773 There are political reputations on the line now connected to 0:17:47.893 --> 0:17:52.053 a full scientific narrative. And I have to go back 0:17:52.093 --> 0:17:57.613 to Nazi Germany when you know, relativity was described as 0:17:57.733 --> 0:18:05.013 Jewish science and prescribed you couldn't believe in Einstein because 0:18:05.013 --> 0:18:10.573 he was Jewish. It's it's ridiculous situation that we find 0:18:10.613 --> 0:18:14.253 ourselves in, and there's a lot of money involved. There's 0:18:14.293 --> 0:18:20.653 an awful lot of money and government grants. People's standing 0:18:20.733 --> 0:18:27.413 in their profession is at risk, people's political standing, the 0:18:27.573 --> 0:18:33.933 capacity to attract investment, and that is if you look 0:18:33.973 --> 0:18:39.613 at the investment side of things that is changing. Biotech 0:18:39.693 --> 0:18:44.133 companies are now finding it very difficult to attract investment 0:18:45.053 --> 0:18:49.973 because one, most biotech companies, you're about eighty percent of 0:18:50.013 --> 0:18:55.533 biotech startups fail. But two, there has been an accumulation 0:18:55.653 --> 0:18:58.893 of evidence of deaths from gene therapies and so on, 0:18:59.733 --> 0:19:04.653 and investors, you know, they're taking decisions that the government, 0:19:05.333 --> 0:19:07.813 they're compelled to take decisions because they have to make 0:19:07.853 --> 0:19:11.533 good investments. The government doesn't care because they can waste 0:19:11.533 --> 0:19:13.213 money as much as they want. 0:19:14.293 --> 0:19:18.213 Quote from your article that I'm referring to, the massive 0:19:18.253 --> 0:19:21.373 global death toll, which should have been laid at the 0:19:21.373 --> 0:19:25.533 feet of biotechnology, amounts to tens of millions of lost 0:19:25.613 --> 0:19:30.573 souls whose fate is being ignored, a number still growing daily. 0:19:31.213 --> 0:19:34.853 Absolutely, I mean that just look at the excess deaths. 0:19:35.053 --> 0:19:36.973 And again there are studies coming on. 0:19:37.653 --> 0:19:39.173 But there are no excess deaths. 0:19:43.413 --> 0:19:46.173 You know, you have to massage the data a lot, 0:19:46.293 --> 0:19:51.133 and the studies that study published the other day, really 0:19:51.213 --> 0:19:55.093 even the World Health Organization is starting to admit that 0:19:55.173 --> 0:19:59.133 it's rather strange that the highly vaccinated countries have the 0:19:59.253 --> 0:20:06.853 highest level of excess deaths. And we sort of we 0:20:06.973 --> 0:20:09.093 have dodged the bullet a little bit in the early 0:20:09.173 --> 0:20:14.453 days because we locked down our borders and we actually 0:20:14.573 --> 0:20:18.213 just didn't lock out COVID for twenty twenty and twenty 0:20:18.293 --> 0:20:23.413 twenty one, we locked out the flu as well by 0:20:23.653 --> 0:20:29.373 locking our borders down here. But actually death started to 0:20:29.533 --> 0:20:32.533 peak in twenty twenty one in New Zealand, and they went 0:20:32.653 --> 0:20:36.653 up in parallel with the vaccination program, we didn't have 0:20:36.733 --> 0:20:40.573 the flu. We still have the lockdowns and the border closures. 0:20:41.213 --> 0:20:45.733 But the death started to climb. And if you add up, 0:20:45.813 --> 0:20:50.493 if you accumulate the deaths that twenty twenty and the 0:20:50.533 --> 0:20:53.413 beginning of twenty twenty one, when we had that very 0:20:53.453 --> 0:20:56.533 low death rate, that kind of saved the figures. But 0:20:56.653 --> 0:20:59.813 as you go through the years, you get into twenty 0:20:59.853 --> 0:21:01.973 two and you get into twenty three, you see the 0:21:02.053 --> 0:21:04.653 excess death taking out and we still have access deaths. 0:21:04.693 --> 0:21:10.253 Twenty twenty four was up four point seven percent on 0:21:10.293 --> 0:21:13.373 the historical average. Well that's one thousand and four. 0:21:14.053 --> 0:21:17.893 Death Sorry, sorry you dropped out momentarily, one thousand. 0:21:18.253 --> 0:21:25.213 One thousand, four hundred extra deaths in twenty twenty four. 0:21:25.613 --> 0:21:26.373 In New Zealand. 0:21:27.133 --> 0:21:32.333 In New Zealand. Yeah, and that's that's up to actually 0:21:32.453 --> 0:21:36.813 March twenty twenty five. We still have exces deaths here. 0:21:37.493 --> 0:21:39.653 More people are dying and that's not a small number. 0:21:39.653 --> 0:21:44.173 That's more than dies in road accidents. It's more than 0:21:44.173 --> 0:21:46.293 the number of people who died in Tehran. 0:21:48.973 --> 0:21:51.653 That's why I asked you to repeat it, because it's 0:21:51.693 --> 0:21:53.973 a very large number. I would have thought when it 0:21:54.013 --> 0:21:58.333 comes to an excess now how does that compare with 0:21:58.613 --> 0:22:01.653 other parts of the world. And I know that Written 0:22:01.853 --> 0:22:05.493 really has been at the forefront of releasing these figures 0:22:05.493 --> 0:22:07.013 over everybody else. 0:22:09.293 --> 0:22:11.573 Well, No, there's a lot of countries, you know, we 0:22:11.693 --> 0:22:15.493 just don't pay so much attention to other countries. South Korea, 0:22:17.293 --> 0:22:22.093 it releases a lot of data that can be publicly analyzed, 0:22:22.253 --> 0:22:26.573 and some of the Eastern European countries and even the 0:22:26.653 --> 0:22:30.533 Mids and Middle East countries as well. The excess deaths 0:22:30.533 --> 0:22:35.413 are up where the vaccination rates are high. And it's 0:22:35.493 --> 0:22:41.413 not just excess deaths, it's the level of illness. And 0:22:41.453 --> 0:22:47.133 that includes mental illness. Because our genes, the functioning pnetic 0:22:47.253 --> 0:22:51.693 system underpins our whole physiology, it underpins our whole mental 0:22:51.733 --> 0:22:55.813 health as well. We're discussing before that. You just go 0:22:55.893 --> 0:22:59.693 back in history and in eighteen ninety five Marie Curie 0:23:00.733 --> 0:23:04.773 discovered radioactivity, and then we had a whole era that 0:23:04.813 --> 0:23:08.613 went right through until the nineteen thirties where people thought 0:23:09.133 --> 0:23:13.933 that radioactivity was a miracle cure. You could buy little 0:23:14.573 --> 0:23:18.853 devices with radioactive material in them where you put water 0:23:18.933 --> 0:23:21.413 in it and then you overnight, and then you were 0:23:21.413 --> 0:23:24.453 supposed to drink six cups a day, and the American 0:23:24.973 --> 0:23:31.373 Medical Association even regulated the whole system, so they didn't 0:23:31.533 --> 0:23:35.973 like ones that weren't delivering really high doses of radioactivity. 0:23:36.013 --> 0:23:41.013 But it took thirty five years before people realized this 0:23:41.213 --> 0:23:43.933 was extremely dangerous and cancerous. 0:23:44.293 --> 0:23:47.173 Why does it take so long, because that's not a 0:23:47.173 --> 0:23:49.653 sole case. Why does it take so Why does it 0:23:49.693 --> 0:23:53.093 take so long for something that's been introduced, be it 0:23:53.093 --> 0:23:57.013 an approach, be it a product or whatever, a methodology 0:23:57.373 --> 0:24:01.653 that ends up being declared invalid or close to it, 0:24:02.573 --> 0:24:04.293 but it's taken a long time to get there. 0:24:05.333 --> 0:24:08.093 Well, you can go back to the Thomas Khon's work 0:24:08.133 --> 0:24:11.853 on structure of scientific revolutions. He talked about the so 0:24:11.973 --> 0:24:18.773 called anomalous card experiment where they're experimenting in this case, 0:24:18.853 --> 0:24:21.973 upon students and they're in a room and they've got 0:24:21.973 --> 0:24:26.173 a screen and they're presented with playing cards and asked 0:24:26.173 --> 0:24:31.453 to identify them. And they're quite fast and they readily 0:24:31.693 --> 0:24:35.013 identify playing cards. You know, that's the six of hearts, 0:24:35.093 --> 0:24:38.213 that's the nine of spades, and so on. But what 0:24:38.373 --> 0:24:44.253 the experimenter did was that he introduced anomalous cards, so 0:24:44.333 --> 0:24:50.653 you would have a red seven of spades, for example, 0:24:50.653 --> 0:24:53.253 which of course is a card that doesn't exist. Now, 0:24:53.813 --> 0:24:58.533 at a high pace, the students had no difficulty identifying them. 0:24:59.013 --> 0:25:02.973 So they would see that the red seven of spades 0:25:03.013 --> 0:25:04.893 and they would say, oh, that's the seven of hearts. 0:25:05.773 --> 0:25:09.133 So they would be getting it wrong. Now you slow 0:25:09.333 --> 0:25:13.653 the pace down the presentation of the cards, and a 0:25:13.773 --> 0:25:18.853 point was reached where the subject would start to get confused. Oh, 0:25:18.893 --> 0:25:22.293 I'm not sure about that one, and then something would twig. 0:25:22.613 --> 0:25:25.293 Oh wait a minute, that's not a card. But a 0:25:25.413 --> 0:25:30.013 significant proportion of the population, more than ten percent, can 0:25:30.173 --> 0:25:34.053 never make the switch. Doesn't matter how slowly you show 0:25:34.133 --> 0:25:38.133 them those cards. And these are students, remember they're intelligent people. 0:25:38.533 --> 0:25:42.933 Doesn't matter how slowly you show them those cards. They 0:25:43.013 --> 0:25:45.893 can't ever make the switch to the fact that there 0:25:45.933 --> 0:25:49.013 is such a thing as an anomalous card. And that 0:25:49.213 --> 0:25:52.573 is what we're at. We've come to the point where 0:25:53.173 --> 0:25:57.133 the whole idea that you can edit genes and get 0:25:57.173 --> 0:26:02.173 something better, which is turning out to be a false idea. 0:26:02.893 --> 0:26:05.933 We're getting something worse, we're getting health problems, and so on. 0:26:07.333 --> 0:26:11.053 There's a bus section of even these very intelligent people 0:26:11.133 --> 0:26:15.133 involved in biotechnology, so called intelligent anyway, they can't make 0:26:15.173 --> 0:26:19.333 the switch, they can't admit that they were wrong. We've 0:26:19.333 --> 0:26:22.893 got that in the field of politics, and we've got 0:26:22.893 --> 0:26:25.893 it in the field of science, people. 0:26:25.813 --> 0:26:28.013 And economics. Unless you want to include that one of 0:26:28.053 --> 0:26:29.213 the first two groups. 0:26:29.693 --> 0:26:34.973 Yeah, yeah, we're in We're in deep trouble. We're in 0:26:35.053 --> 0:26:41.693 deep trouble because this technology is really unhealthy and it 0:26:41.773 --> 0:26:45.813 comes back to you know, millions of people. We're in 0:26:45.813 --> 0:26:47.373 a This like a war. 0:26:48.373 --> 0:26:50.933 That's a that's a very aggressive way of putting it. 0:26:52.773 --> 0:26:56.613 Well, it's a war. And this is what I'd like 0:26:56.693 --> 0:26:58.933 to say. It's a war on nature. It's it's the 0:26:59.213 --> 0:27:03.933 ultimate expression of destructive thinking. You know, we tend to 0:27:03.973 --> 0:27:07.973 feel that destructive thinking is limited to the military, but 0:27:08.653 --> 0:27:11.973 actually a lot of medical science is built on the 0:27:12.013 --> 0:27:17.853 idea of destroying the pathogen. And you know that's a 0:27:17.893 --> 0:27:24.693 lot of biotech techniques come from bacterial destructive bacterial properties. 0:27:25.093 --> 0:27:29.053 When you do genetic engineering, you get double strandber breaks 0:27:29.053 --> 0:27:36.013 in the DNA, you get essentially mutative events that take 0:27:36.093 --> 0:27:40.893 place that are destructive of the coherent functioning of the DNA. 0:27:41.933 --> 0:27:44.173 So in that sense, it's like a war. It's a 0:27:44.213 --> 0:27:48.813 war that's occurring in the on the micro organism level, 0:27:50.533 --> 0:27:52.293 sorry all of us. 0:27:53.053 --> 0:27:56.693 So you asked the question where are governments placing their 0:27:56.693 --> 0:27:59.333 trust and what are they investing in on our behalf. 0:27:59.733 --> 0:28:00.413 What's the answer. 0:28:04.093 --> 0:28:06.613 Well, they're going for gene technology, yes, but they're also 0:28:06.653 --> 0:28:11.253 going big time for things like artificial intelligence, which is 0:28:11.413 --> 0:28:15.773 a huge mistake. I mean, way back when you know 0:28:15.973 --> 0:28:20.053 calculators came in. Who would have sort of predicted in 0:28:20.133 --> 0:28:22.453 the beginning that people would no longer be able to 0:28:22.453 --> 0:28:26.133 do math. But that's the situation we've arrived in. By 0:28:26.573 --> 0:28:32.693 starting to stop using our minds and start delegating that 0:28:32.893 --> 0:28:38.853 to electronic devices, you gradually lose the capacity to think. 0:28:39.813 --> 0:28:42.813 And that has happened in maths and it's now happening 0:28:43.013 --> 0:28:48.133 with writing and reading. And AI is the kind of 0:28:48.453 --> 0:28:54.093