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

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

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

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

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Speaker 1: Smith Podcast powered by news talks it B.

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Speaker 2: Welcome to podcast two hundred and ninety one for July second,

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Speaker 2: twenty twenty five. The Guy Hatchard Report. Over the last

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Speaker 2: couple of weeks published some interesting and I think important commentary.

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Speaker 2: The earliest one published June thirteen, California Dreaming, which refers

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Speaker 2: to matters concerning AI. Then on the eighteenth of June,

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Speaker 2: how sick is New Zealand What should be done? Makes

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Speaker 2: for interesting reading? And then on the twenty ninth of June,

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Speaker 2: the desire to stay alive and the capacity to give

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Speaker 2: birth are under threat. So let's look at that for

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Speaker 2: a moment. After five and a half years examining pandemic evidence,

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Speaker 2: it's clear who should be winning the argument, but it's

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Speaker 2: also apparent that attitudes have even hardened. This week, Tanya

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Speaker 2: Unkovich resigned as an MP. Up until now, she had

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Speaker 2: been our advocate inside the government, urging caution about biotechnology deregulation.

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Speaker 2: It seems probable that her unexpected resignation signals the determination

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Speaker 2: on the part of the coalition, including New Zealand First,

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Speaker 2: to ignore caution. There appears to be a growing determination

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Speaker 2: to push ahead with the Gene Technology Bill, which will

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Speaker 2: impose medical hegemony and genetic destruction on the whole population.

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Speaker 2: There are overseas interests egging the government on. We are

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Speaker 2: dealing with fanatics for whom evidence can be ignored with impunity.

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Speaker 2: And then there's some other input into this discussion that

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Speaker 2: has nothing to do whatsoever with Guy Hatchet and the

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Speaker 2: Guy Hatchard report. For instance, I came across to site

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Speaker 2: the I was totally unaware of Patriot Post and an

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Speaker 2: article by Laura Hollis the political footprint of settled Science,

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Speaker 2: which really gave rise to the podcast Interview Today. Now

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Speaker 2: it's a case of one thing leads to another. This

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Speaker 2: article by Hollis refers to will let me read it.

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Speaker 2: Last week, science writer Christopher Plain published a story in

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Speaker 2: the online magazine The Debrief. The Debrief, which describes its

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Speaker 2: subject matter as science, tech, and defense for the rebelliously

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Speaker 2: curious that interested me. It was about fossilized human footprints

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Speaker 2: found in a desiccated lake bed in White Sands, New Mexico,

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Speaker 2: and it has to do with the history of human

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Speaker 2: beings and their arrival in the Americas. The discovery not

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Speaker 2: only radically changed our perspective on the migration of ancient peoples,

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Speaker 2: it provides yet another warning about undue reliance upon what

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Speaker 2: has come to be called settled science, and Hollis continues

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Speaker 2: on to a number of examples. It was settled science

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Speaker 2: that COVID nineteen jumped species at of wu Hun markets,

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Speaker 2: and that we were to pay no attention to the

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Speaker 2: International Virology lab behind the curtain, or the gain of

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Speaker 2: function research that we weren't funding except when we were.

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Speaker 2: It was settled science that the mRNA shots for COVID

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Speaker 2: nineteen were safe and effective, even though they didn't prevent

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Speaker 2: contraction or transmission of the disease. And there have been

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Speaker 2: thousands of cases, many fatal myocarditis and pericarditis in young people.

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Speaker 2: Other potential adverse effects are now being studied as well.

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Speaker 2: The party line is still that the shots are safe.

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Speaker 2: We'll see. The science around climate change isn't settled either.

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Speaker 2: The science around climate change isn't settled either. And I

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Speaker 2: referred to another article that I printed on the twenty

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Speaker 2: eighth of June nineteen hundred. That's one nine hundred scientists

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Speaker 2: say climate change not caused by CO two the real

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Speaker 2: environment movement was hijacked. Now that is written by a

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Speaker 2: man with a science background, and we will get to that,

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Speaker 2: I believe, on another occasion in the in the near future. Now,

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Speaker 2: the discussion with Guy Hatchet that follows is a very

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Speaker 2: interesting one in my opinion, and I value my opinion.

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Speaker 2: Now at the back end of the podcast, after the

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Speaker 2: mail room, there's a couple of very interesting matters that

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Speaker 2: I'll share and I'll be very interested in your reaction

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Speaker 2: to that also, So after a short break, Guy Hatchet,

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Speaker 2: Laton Smith. Buckerlan is a natural oral vaccine in a

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Speaker 2: tablet form called bacterial I say it'll boost your natural

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Speaker 2: protection against bacterial infections in your chest and throat. A

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Speaker 2: three day course of seven bugel and tablets will help

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Speaker 2: your body build up to three months of immunity against

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Speaker 2: bugs which cause bacterial cold symptoms. So who can take

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Speaker 2: buccolan well, the whole family From two years of age

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Speaker 2: and upwards. A course of Buccolan tablets offers cost effective

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Speaker 2: and safe protection from colds and chills. Protection becomes effective

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Speaker 2: a few days after you take buccolan and lasts for

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Speaker 2: up to three months following the three day course. Buccolin

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Speaker 2: can be taken throughout the cold season, over winter, or

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Speaker 2: all the year round. And remember Buckelan is not intended

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Speaker 2: as an alternative to influenza vaccination, but may be used

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Speaker 2: along with the flu vaccination for added protection. And keep

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Speaker 2: in mind that millions of doses have been taken by

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Speaker 2: Kiwis for over fifty years. Only available from your pharmacist.

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Speaker 2: Always read the label and users directed, and see your

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Speaker 2: doctor if systems persist. Farmer Broker or Clum Layton Smith,

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Speaker 2: Guy Hatchett's very good to have you back on the podcast.

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Speaker 3: Thank you wonderful to be here.

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Speaker 2: Earlier on in the podcast, I began with something from

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Speaker 2: the political footprint of settled science. I want to pick

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Speaker 2: it up from where I left it and move into

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Speaker 2: what we're going to talk about this way. So let

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Speaker 2: me quote that's the way real science works. Even the

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Speaker 2: most established theories can be questioned, and while defenders of

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Speaker 2: the status quo will demand a lot of evidence, what

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Speaker 2: we know will change when new information proves the old

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Speaker 2: ways of thinking false. But science becomes a very different process, rigid,

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Speaker 2: intolerant of dissent, and dangerous when it gets yoked to politics.

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Speaker 2: Questions are no longer permitted because now it's not just

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Speaker 2: some obscure academics pet theory that's at stake. It's a

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Speaker 2: platform of policy objectives that an entire political party is

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Speaker 2: seeking to force down the public's throat or other parts

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Speaker 2: of their bodies, as may be the I and others

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Speaker 2: have written about this, says the author. In twenty seventeen,

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Speaker 2: I wrote What Margarine Can Teach Us About Climate Change,

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Speaker 2: an article about doctor Paul Offitt's book Pandora's Lab. Seven

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Speaker 2: Stories of Science Gone Wrong. The government chose to discourage

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Speaker 2: consumption of dairy products in favor of seed oils on

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Speaker 2: the basis of flawed and incomplete information, with deleterious health consequences.

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Speaker 2: Two years later, I wrote another article that explained how

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Speaker 2: governments around the world mandated sterilizations, coerced abortions, and promoted

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Speaker 2: infanticide in response to fear mongering and false predictions about

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Speaker 2: a population explosion. One dead giveaway that academic inquiry has

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Speaker 2: been hijacked by politics is the term settled science, so

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Speaker 2: we're told it's settled science. The childhood vaccines are safe

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Speaker 2: until we learn that none have been the subject of

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Speaker 2: long term tis against placebos, and some researchers are now

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Speaker 2: investigating possible connections between vaccinations and sudden infant death syndrome.

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Speaker 2: Those defending the current vaccination schedule insists that these new

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Speaker 2: inquiries are nonsense. We'll see and I must include this.

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Speaker 2: The science around climate change isn't settled either. That the

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Speaker 2: climate changes is certain, the extent to which human activity

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Speaker 2: changes it is not. When I was in high school,

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Speaker 2: we were warned about the coming ice age. By the

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Speaker 2: time I was in law school it was global warming.

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Speaker 2: Predictions about the Ozone hole and Antarctica have been wrong.

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Speaker 2: Science is a process, not a result. Now that was

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Speaker 2: a long introduction, but I thought it was quite relevant.

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Speaker 2: Written by Laura Hollis from the Patriot Post. There anything

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Speaker 2: in there that you'd comment on?

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Speaker 3: Well, I think the history of science and scientific ideas

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Speaker 3: and papers at university, and whenever you get a big

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Speaker 3: paradigm change, you enter a period of science where you

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Speaker 3: have competing ideas and some people can change and some

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Speaker 3: people can't. Change, and we're certainly into that era now.

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Speaker 3: But as you, as the author said, the politicization of

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Speaker 3: science is a huge mistake because, as we know, politicians

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Speaker 3: are driven by ideas which are foreign to science. They

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Speaker 3: have to do with economic and social ideas which are

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Speaker 3: a long long way from scientific understanding in its most

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Speaker 3: rigorous sense.

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Speaker 2: You've been You've been writing a lot over the last

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Speaker 2: few weeks. I think more than more than normal maybe.

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Speaker 2: And the first one that the first article that took

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Speaker 2: my attention. They all do, but seriously took my attention.

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Speaker 2: If you know what I mean, how sick is New

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Speaker 2: Zealand and what should be done? Where do you go

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Speaker 2: with that?

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Speaker 3: Well, this is something that should be absolutely dominating the

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Speaker 3: air waves, but it's something that is completely forgotten. Southern

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Speaker 3: Cross has come out with its annual report. That's a

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Speaker 3: health insurer, and they report that thirty three percent of

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Speaker 3: its members made a health claim in twenty nineteen. In

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Speaker 3: twenty twenty four, fifty percent, that's half claimed under their

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Speaker 3: health insurance scheme, and that represents a whopping fifty percent

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Speaker 3: increase in sickness. And that comes out at about one

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Speaker 3: hundred and fifty eight thousand more sick Southern Cross Cross

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Speaker 3: clients coming up since twenty nineteen, and if they only

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Speaker 3: ensure twenty percent of the population, So if you scale

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Speaker 3: that up, we've got seven one hundred and eighty eight

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Speaker 3: thousand more sick kiwis in twenty twenty four compared to

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Speaker 3: twenty nineteen. That's an extra fifteen percent of the population

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Speaker 3: who are getting sick at this time. And that's staggering.

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Speaker 3: And that joins a whole huge range of changes in

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Speaker 3: our health problem profile. We have rates of disability, we

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Speaker 3: have rates of chest pain, asthma, mental illness, kidney disease,

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Speaker 3: heart attacks, strokes, ents for all difficulties, and birth rates, cancer,

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Speaker 3: sick days or with off. The chart increases since the pandemic,

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Speaker 3: and more particularly not the pandemic, so much has since

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Speaker 3: twenty twenty one when the vaccination campaign began.

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Speaker 2: I I asked the random question of a medico only

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Speaker 2: recently that I was just having a discussion with or

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Speaker 2: with whom I was just having a discussion, And I said,

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Speaker 2: considering what we know now, what chance, for instance, that

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Speaker 2: my issue, which was a heart attack in twenty two

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Speaker 2: that was connected with the two opening shots that I

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Speaker 2: got because I didn't get any more, put a stop

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Speaker 2: to it. And the answer was along the lines of,

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Speaker 2: well that's something The answer was, well, that's something that

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Speaker 2: nobody knows the answer to.

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Speaker 3: Well, we do know the answer to it, don't we.

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Speaker 3: Because studies are being published, you know, definitive studies looking

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Speaker 3: at a very wide range of illnesses, comparing the outcomes

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Speaker 3: for vaccinated and unvaccinated. And here in New Zealand, it's

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Speaker 3: become a political dogma to put your head in the

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Speaker 3: sand and not say anything. One of the reasons is

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Speaker 3: is that General Medical Council may jump on you and

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Speaker 3: you might lose your job, or the government might sue you,

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Speaker 3: sach you, sue you and imprison you even for going

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Speaker 3: against the political dogma that vaccination was a wonderful thing,

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Speaker 3: like the COVID vaccination.

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Speaker 2: But the statistics and the detail that is now known

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Speaker 2: doesn't let over right what the government was saying and

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Speaker 2: might still be saying in some quarters.

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Speaker 3: Absolutely. I mean, we have to wake up, we have

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Speaker 3: to wake up to the reality and we have to

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Speaker 3: face the consequences. This is a yeah, what's happening is

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Speaker 3: that the government is saying people are becoming workshy there

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Speaker 3: you know, because the disability rates are up so high

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Speaker 3: and the sick days are up so high, and therefore

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Speaker 3: we have to sort of force people back to work.

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Speaker 3: But the answer is really rather simple when you look

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Speaker 3: at the stats is people are becoming more sick, and

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Speaker 3: they're more sick with more serious illnesses. We're seeing now

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Speaker 3: for the first time in fifty years that the rate

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Speaker 3: of heart attacks is increasing and the rate of rate

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Speaker 3: of deaths from heart disease is increasing. We're, as one

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Speaker 3: person put it in the UK, this is we've set

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Speaker 3: ourselves back fifteen years as far as cardiac illness and

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Speaker 3: strokers concerned, diso for cancers, and the media needs to

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Speaker 3: step up here. I mean, we've got a diet of

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Speaker 3: headlines that say, you know, family tragedy, mother or father

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Speaker 3: struck down with cancer, or yesterday I think we saw

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Speaker 3: filmmaker went to sleep and didn't wake up and so on.

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Speaker 3: We're sort of they're sensationalizing what's going on. But you

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Speaker 3: look at the hard statistics and these the increases are enormous.

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Speaker 3: I mean, they're they're frighteningly enormous, and we have to backtrack.

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Speaker 3: And quite frankly, I don't care whether it's the vaccine

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Speaker 3: or the COVID. I mean, the evidence, in my opinion,

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Speaker 3: points very strongly to the vaccine, But whether it's the

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Speaker 3: vaccine or COVID doesn't really matter. They both came out

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Speaker 3: of a biotech lab and we've made a huge mistake

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Speaker 3: going down a route that is affecting the capacity of

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Speaker 3: the immune system to function. That's the end of it.

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Speaker 3: That's the end of the story. And people it now,

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Speaker 3: they're resisting it because they're deeply invested in this parrot,

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Speaker 3: in this genetic paradigm that we can alter people's genetics

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Speaker 3: and make them live longer and be more healthy. It

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Speaker 3: just simply isn't true.

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Speaker 2: How do you prove that?

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Speaker 3: Well, you know, it's very simple. You know, from a

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Speaker 3: mathematical point of view, from a statistical point of view,

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Speaker 3: you have to use time series analysis. The key is

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Speaker 3: when did something occurred? If you did A and B happens,

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Speaker 3: then you're you know, you suspect. But if you do

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Speaker 3: A again and B happens again, then you get a

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Speaker 3: bit more sure, and with each step the certainty of

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Speaker 3: your conclusion increases. This is what time series analysis does.

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Speaker 3: A follow B or B follow A, and then you

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Speaker 3: get to what's at the root of the causation here,

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Speaker 3: and we're way past that in terms of the statistical analysis.

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Speaker 3: It's just that governments have wanted to hide their tracks.

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Speaker 3: And this is where you started out, the politicization of science.

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Speaker 3: There are political reputations on the line now connected to

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Speaker 3: a full scientific narrative. And I have to go back

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Speaker 3: to Nazi Germany when you know, relativity was described as

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Speaker 3: Jewish science and prescribed you couldn't believe in Einstein because

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Speaker 3: he was Jewish. It's it's ridiculous situation that we find

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Speaker 3: ourselves in, and there's a lot of money involved. There's

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Speaker 3: an awful lot of money and government grants. People's standing

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Speaker 3: in their profession is at risk, people's political standing, the

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Speaker 3: capacity to attract investment, and that is if you look

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Speaker 3: at the investment side of things that is changing. Biotech

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Speaker 3: companies are now finding it very difficult to attract investment

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Speaker 3: because one, most biotech companies, you're about eighty percent of

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Speaker 3: biotech startups fail. But two, there has been an accumulation

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Speaker 3: of evidence of deaths from gene therapies and so on,

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Speaker 3: and investors, you know, they're taking decisions that the government,

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Speaker 3: they're compelled to take decisions because they have to make

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Speaker 3: good investments. The government doesn't care because they can waste

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Speaker 3: money as much as they want.

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Speaker 2: Quote from your article that I'm referring to, the massive

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Speaker 2: global death toll, which should have been laid at the

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Speaker 2: feet of biotechnology, amounts to tens of millions of lost

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Speaker 2: souls whose fate is being ignored, a number still growing daily.

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Speaker 3: Absolutely, I mean that just look at the excess deaths.

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Speaker 3: And again there are studies coming on.

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Speaker 2: But there are no excess deaths.

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Speaker 3: You know, you have to massage the data a lot,

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Speaker 3: and the studies that study published the other day, really

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Speaker 3: even the World Health Organization is starting to admit that

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Speaker 3: it's rather strange that the highly vaccinated countries have the

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Speaker 3: highest level of excess deaths. And we sort of we

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Speaker 3: have dodged the bullet a little bit in the early

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Speaker 3: days because we locked down our borders and we actually

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Speaker 3: just didn't lock out COVID for twenty twenty and twenty

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Speaker 3: twenty one, we locked out the flu as well by

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Speaker 3: locking our borders down here. But actually death started to

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Speaker 3: peak in twenty twenty one in New Zealand, and they went

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Speaker 3: up in parallel with the vaccination program, we didn't have

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Speaker 3: the flu. We still have the lockdowns and the border closures.

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Speaker 3: But the death started to climb. And if you add up,

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Speaker 3: if you accumulate the deaths that twenty twenty and the

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Speaker 3: beginning of twenty twenty one, when we had that very

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Speaker 3: low death rate, that kind of saved the figures. But

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Speaker 3: as you go through the years, you get into twenty

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Speaker 3: two and you get into twenty three, you see the

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Speaker 3: excess death taking out and we still have access deaths.

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Speaker 3: Twenty twenty four was up four point seven percent on

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Speaker 3: the historical average. Well that's one thousand and four.

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Speaker 2: Death Sorry, sorry you dropped out momentarily, one thousand.

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Speaker 3: One thousand, four hundred extra deaths in twenty twenty four.

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Speaker 2: In New Zealand.

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Speaker 3: In New Zealand. Yeah, and that's that's up to actually

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Speaker 3: March twenty twenty five. We still have exces deaths here.

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Speaker 3: More people are dying and that's not a small number.

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Speaker 3: That's more than dies in road accidents. It's more than

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Speaker 3: the number of people who died in Tehran.

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Speaker 2: That's why I asked you to repeat it, because it's

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Speaker 2: a very large number. I would have thought when it

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Speaker 2: comes to an excess now how does that compare with

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Speaker 2: other parts of the world. And I know that Written

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Speaker 2: really has been at the forefront of releasing these figures

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Speaker 2: over everybody else.

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Speaker 3: Well, No, there's a lot of countries, you know, we

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Speaker 3: just don't pay so much attention to other countries. South Korea,

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Speaker 3: it releases a lot of data that can be publicly analyzed,

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Speaker 3: and some of the Eastern European countries and even the

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Speaker 3: Mids and Middle East countries as well. The excess deaths

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Speaker 3: are up where the vaccination rates are high. And it's

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Speaker 3: not just excess deaths, it's the level of illness. And

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Speaker 3: that includes mental illness. Because our genes, the functioning pnetic

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Speaker 3: system underpins our whole physiology, it underpins our whole mental

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Speaker 3: health as well. We're discussing before that. You just go

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Speaker 3: back in history and in eighteen ninety five Marie Curie

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Speaker 3: discovered radioactivity, and then we had a whole era that

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Speaker 3: went right through until the nineteen thirties where people thought

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Speaker 3: that radioactivity was a miracle cure. You could buy little

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Speaker 3: devices with radioactive material in them where you put water

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Speaker 3: in it and then you overnight, and then you were

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Speaker 3: supposed to drink six cups a day, and the American

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Speaker 3: Medical Association even regulated the whole system, so they didn't

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Speaker 3: like ones that weren't delivering really high doses of radioactivity.

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Speaker 3: But it took thirty five years before people realized this

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Speaker 3: was extremely dangerous and cancerous.

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Speaker 2: Why does it take so long, because that's not a

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Speaker 2: sole case. Why does it take so Why does it

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Speaker 2: take so long for something that's been introduced, be it

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Speaker 2: an approach, be it a product or whatever, a methodology

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Speaker 2: that ends up being declared invalid or close to it,

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Speaker 2: but it's taken a long time to get there.

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Speaker 3: Well, you can go back to the Thomas Khon's work

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Speaker 3: on structure of scientific revolutions. He talked about the so

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Speaker 3: called anomalous card experiment where they're experimenting in this case,

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Speaker 3: upon students and they're in a room and they've got

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Speaker 3: a screen and they're presented with playing cards and asked

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Speaker 3: to identify them. And they're quite fast and they readily

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Speaker 3: identify playing cards. You know, that's the six of hearts,

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Speaker 3: that's the nine of spades, and so on. But what

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Speaker 3: the experimenter did was that he introduced anomalous cards, so

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Speaker 3: you would have a red seven of spades, for example,

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Speaker 3: which of course is a card that doesn't exist. Now,

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Speaker 3: at a high pace, the students had no difficulty identifying them.

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Speaker 3: So they would see that the red seven of spades

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Speaker 3: and they would say, oh, that's the seven of hearts.

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Speaker 3: So they would be getting it wrong. Now you slow

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Speaker 3: the pace down the presentation of the cards, and a

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Speaker 3: point was reached where the subject would start to get confused. Oh,

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Speaker 3: I'm not sure about that one, and then something would twig.

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Speaker 3: Oh wait a minute, that's not a card. But a

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Speaker 3: significant proportion of the population, more than ten percent, can

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Speaker 3: never make the switch. Doesn't matter how slowly you show

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Speaker 3: them those cards. And these are students, remember they're intelligent people.

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Speaker 3: Doesn't matter how slowly you show them those cards. They

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Speaker 3: can't ever make the switch to the fact that there

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Speaker 3: is such a thing as an anomalous card. And that

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Speaker 3: is what we're at. We've come to the point where

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Speaker 3: the whole idea that you can edit genes and get

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Speaker 3: something better, which is turning out to be a false idea.

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Speaker 3: We're getting something worse, we're getting health problems, and so on.

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Speaker 3: There's a bus section of even these very intelligent people

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Speaker 3: involved in biotechnology, so called intelligent anyway, they can't make

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Speaker 3: the switch, they can't admit that they were wrong. We've

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Speaker 3: got that in the field of politics, and we've got

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Speaker 3: it in the field of science, people.

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Speaker 2: And economics. Unless you want to include that one of

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Speaker 2: the first two groups.

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Speaker 3: Yeah, yeah, we're in We're in deep trouble. We're in

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Speaker 3: deep trouble because this technology is really unhealthy and it

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Speaker 3: comes back to you know, millions of people. We're in

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Speaker 3: a This like a war.

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Speaker 2: That's a that's a very aggressive way of putting it.

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Speaker 3: Well, it's a war. And this is what I'd like

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Speaker 3: to say. It's a war on nature. It's it's the

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Speaker 3: ultimate expression of destructive thinking. You know, we tend to

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00:27:03,973 --> 00:27:07,973
Speaker 3: feel that destructive thinking is limited to the military, but

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Speaker 3: actually a lot of medical science is built on the

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00:27:12,013 --> 00:27:17,853
Speaker 3: idea of destroying the pathogen. And you know that's a

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Speaker 3: lot of biotech techniques come from bacterial destructive bacterial properties.

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Speaker 3: When you do genetic engineering, you get double strandber breaks

383
00:27:29,053 --> 00:27:36,013
Speaker 3: in the DNA, you get essentially mutative events that take

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Speaker 3: place that are destructive of the coherent functioning of the DNA.

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Speaker 3: So in that sense, it's like a war. It's a

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Speaker 3: war that's occurring in the on the micro organism level,

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Speaker 3: sorry all of us.

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Speaker 2: So you asked the question where are governments placing their

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Speaker 2: trust and what are they investing in on our behalf.

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Speaker 2: What's the answer.

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Speaker 3: Well, they're going for gene technology, yes, but they're also

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Speaker 3: going big time for things like artificial intelligence, which is

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00:28:11,413 --> 00:28:15,773
Speaker 3: a huge mistake. I mean, way back when you know

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00:28:15,973 --> 00:28:20,053
Speaker 3: calculators came in. Who would have sort of predicted in

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Speaker 3: the beginning that people would no longer be able to

396
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Speaker 3: do math. But that's the situation we've arrived in. By

397
00:28:26,573 --> 00:28:32,693
Speaker 3: starting to stop using our minds and start delegating that

398
00:28:32,893 --> 00:28:38,853
Speaker 3: to electronic devices, you gradually lose the capacity to think.

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Speaker 3: And that has happened in maths and it's now happening

400
00:28:43,013 --> 00:28:48,133
Speaker 3: with writing and reading. And AI is the kind of

401
00:28:48,453 --> 00:28:54,093
Speaker 3: ultimate kind of development of that, because whilst a calculator

402
00:28:54,133 --> 00:28:58,973
Speaker 3: at least gives you the right answer, AI gives you

403
00:28:59,053 --> 00:29:03,093
Speaker 3: some really stupid answers, as probably many of your listeners

404
00:29:03,173 --> 00:29:08,613
Speaker 3: know already. I cited the example of I want to

405
00:29:08,773 --> 00:29:11,253
Speaker 3: just in the one of my articles I've just written,

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00:29:11,613 --> 00:29:17,933
Speaker 3: I wanted to know just to be sure? Was New

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00:29:18,053 --> 00:29:20,733
Speaker 3: Zealand one of the first to have a national health service,

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00:29:21,853 --> 00:29:27,733
Speaker 3: and so I asked Google, and Google AI, which now

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00:29:27,853 --> 00:29:32,973
Speaker 3: sort of headlines, you're the answer to your question. It

410
00:29:33,013 --> 00:29:35,373
Speaker 3: came back and said, no, New Zealand wasn't one of

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Speaker 3: the first, because it did it in nineteen thirty eight

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Speaker 3: and the NHS in the UK was formed in nineteen

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Speaker 3: forty eight. So New Zealand wasn't first. Well that's pretty stupid.

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Speaker 2: Well when we could have made a printing era.

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00:29:53,733 --> 00:29:56,973
Speaker 3: Not no, no, no, no, no, it's it's it's actually

416
00:29:57,053 --> 00:29:59,573
Speaker 3: become a big thing in the newspapers. Now if you

417
00:29:59,613 --> 00:30:05,253
Speaker 3: read sort of a bit more serious discussion is AI,

418
00:30:05,493 --> 00:30:10,773
Speaker 3: it turns out is you know, it's a little schizophrenic

419
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Speaker 3: and imagines it hallucinates. They talk about hallucination and the

420
00:30:18,293 --> 00:30:23,613
Speaker 3: latest iterations of AI are hallucinating, you know, big time.

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00:30:23,733 --> 00:30:28,853
Speaker 3: They're imagining because they don't do what we do. You see,

422
00:30:29,333 --> 00:30:35,853
Speaker 3: thinking isn't done basically by a set of rules. When

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Speaker 3: we think as human beings, we have the capacity to

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00:30:38,973 --> 00:30:45,653
Speaker 3: identify and categorize distinct objects, objectives, and relevant examples. We

425
00:30:45,693 --> 00:30:50,053
Speaker 3: can entertain doubt, and we can apply steps of logic

426
00:30:50,173 --> 00:30:54,133
Speaker 3: and reasoning, and we can also attack opposing views, and

427
00:30:54,173 --> 00:30:58,133
Speaker 3: we can use argument dispute and ridicule even and we

428
00:30:58,213 --> 00:31:04,733
Speaker 3: recognize fallacies, circular arguments, unproven premises, and we know that

429
00:31:04,773 --> 00:31:09,093
Speaker 3: there are some things that have two meanings, and yeah,

430
00:31:09,093 --> 00:31:13,453
Speaker 3: and so on. We can use metaphor and analogy. You know,

431
00:31:13,613 --> 00:31:20,333
Speaker 3: the human mind, it sort of alternates between silence and dynamism.

432
00:31:20,533 --> 00:31:22,533
Speaker 3: Is well, there's the way we can start to think

433
00:31:22,573 --> 00:31:26,373
Speaker 3: about it. It sort of comes back to a ground

434
00:31:26,453 --> 00:31:31,293
Speaker 3: state and then we project something new. We're creative in

435
00:31:31,333 --> 00:31:33,893
Speaker 3: a very real sense, and we can experience. We can

436
00:31:33,933 --> 00:31:38,213
Speaker 3: look around as well. Computers can't experience. They can't look around.

437
00:31:38,373 --> 00:31:41,493
Speaker 3: What they can look at is just the past, what

438
00:31:41,733 --> 00:31:45,053
Speaker 3: was written on the internet. They're very limited.

439
00:31:45,333 --> 00:31:48,653
Speaker 2: Well, is it is it expected that if we accept

440
00:31:48,693 --> 00:31:52,973
Speaker 2: what you've just said, it's it's accept it's accepted that

441
00:31:53,693 --> 00:31:56,493
Speaker 2: over a period of time and the accumulation of so

442
00:31:56,653 --> 00:32:01,773
Speaker 2: much knowledge and information, they will be able to transfer

443
00:32:01,893 --> 00:32:04,093
Speaker 2: their attention to getting things right.

444
00:32:06,653 --> 00:32:07,133
Speaker 3: I just.

445
00:32:09,773 --> 00:32:10,533
Speaker 2: That was a question.

446
00:32:10,653 --> 00:32:17,733
Speaker 3: That's a question circumstance, isn't it. You know, in certain circumstances,

447
00:32:18,613 --> 00:32:22,733
Speaker 3: the right thing may be A and in other circumstances

448
00:32:22,773 --> 00:32:25,333
Speaker 3: it may be B. Because it's a question of time

449
00:32:26,493 --> 00:32:32,213
Speaker 3: and circumstances and the human mind is assessing all of

450
00:32:32,253 --> 00:32:36,213
Speaker 3: this constantly. We're waiting, I mean, just bringing up a family,

451
00:32:37,173 --> 00:32:41,333
Speaker 3: the kind of the level of it's not computation, but

452
00:32:41,413 --> 00:32:47,333
Speaker 3: the level of understanding and empathy that is required to

453
00:32:47,453 --> 00:32:50,573
Speaker 3: just bring up a family. You can't write a set

454
00:32:50,613 --> 00:32:51,973
Speaker 3: of rules for that.

455
00:32:52,213 --> 00:32:55,613
Speaker 2: Right you. So you've you've led me ahead.

456
00:32:57,653 --> 00:33:01,293
Speaker 3: Well, it doesn't matter. I think. Look, the government is

457
00:33:01,333 --> 00:33:07,053
Speaker 3: starting to use AI in its whole approach, and it's

458
00:33:07,133 --> 00:33:10,053
Speaker 3: going to go incredible wrong. And we have to be

459
00:33:10,213 --> 00:33:17,693
Speaker 3: really alert now because it's going out of it's going

460
00:33:17,733 --> 00:33:22,053
Speaker 3: out of its elastic limit. What we're dealing with here.

461
00:33:22,773 --> 00:33:27,653
Speaker 3: We have a government that should be realizing that biotechnology,

462
00:33:27,733 --> 00:33:31,493
Speaker 3: the whole pandemic use of biotechnology, led to a national

463
00:33:31,533 --> 00:33:38,533
Speaker 3: health crisis, and instead they're deregulating biotechnology and allowing people

464
00:33:38,613 --> 00:33:41,933
Speaker 3: really in essence to experiment on us. And we really

465
00:33:41,973 --> 00:33:42,853
Speaker 3: have to push back.

466
00:33:43,613 --> 00:33:46,853
Speaker 2: The first article that you wrote that caught my attention

467
00:33:47,013 --> 00:33:50,173
Speaker 2: was June thirteen, So we had June thirteen, we had

468
00:33:50,653 --> 00:33:54,533
Speaker 2: June eighteen, I think in June twenty nine for the

469
00:33:54,573 --> 00:33:58,773
Speaker 2: three that I'm referring to. Under California Dreaming, the New

470
00:33:58,853 --> 00:34:05,933
Speaker 2: York Times is heralding a new company called Mechanize formed

471
00:34:05,933 --> 00:34:11,573
Speaker 2: in San Francisco to produce software with the audacious Is

472
00:34:11,613 --> 00:34:13,493
Speaker 2: that your word or theirs? Because it's in quotes.

473
00:34:14,573 --> 00:34:18,493
Speaker 3: Yeah, No, it's it's their word. It's it's the I

474
00:34:18,893 --> 00:34:20,013
Speaker 3: put question bogs.

475
00:34:20,093 --> 00:34:24,973
Speaker 2: Aren't You did the audacious goal of replacing fifty percent

476
00:34:24,973 --> 00:34:27,933
Speaker 2: of white collar jobs with AI within the next five years.

477
00:34:28,053 --> 00:34:30,533
Speaker 2: Now this has got people scared. I realized it has

478
00:34:30,733 --> 00:34:35,613
Speaker 2: a lot of them. They plan to fully automate all jobs,

479
00:34:35,653 --> 00:34:41,053
Speaker 2: including doctors, lawyers, architects, and childcare otherwise known as mothers

480
00:34:41,053 --> 00:34:46,373
Speaker 2: and parents. Then you cover off a devastating study commissioned

481
00:34:46,413 --> 00:34:50,853
Speaker 2: by Apple Computers. What did they say, Well.

482
00:34:50,693 --> 00:34:54,213
Speaker 3: The AI suffers a complete accuracy collapse in the face

483
00:34:54,253 --> 00:34:57,533
Speaker 3: of complex problems. You see AI the way it's structured.

484
00:34:57,613 --> 00:34:59,813
Speaker 2: So what I'm sorry, I'm what I was trying to

485
00:34:59,893 --> 00:35:01,933
Speaker 2: draw out, and you're doing it, But I just want

486
00:35:01,933 --> 00:35:03,973
Speaker 2: to say it. What I was trying to draw out

487
00:35:04,053 --> 00:35:06,933
Speaker 2: was that you could beef that was your statement. You

488
00:35:07,013 --> 00:35:11,293
Speaker 2: could be assaulted over it. But it's not your statement.

489
00:35:12,053 --> 00:35:17,773
Speaker 2: It's a study done by Apple. Yeah, and they're the

490
00:35:17,853 --> 00:35:21,893
Speaker 2: last people who want to eradicate the direction that things

491
00:35:21,893 --> 00:35:22,373
Speaker 2: are going in.

492
00:35:24,013 --> 00:35:28,533
Speaker 3: Yeah, well, they're they're they've obviously got some intelligent people

493
00:35:28,733 --> 00:35:33,613
Speaker 3: somewhere in the tech community. You know, again, it's an

494
00:35:33,693 --> 00:35:36,133
Speaker 3: article of faith, isn't it, that AI is the kind

495
00:35:36,173 --> 00:35:44,733
Speaker 3: of future of anything. But it's basically it's, you know,

496
00:35:44,813 --> 00:35:49,253
Speaker 3: what AI wants to do is you know, they've got

497
00:35:49,293 --> 00:35:53,373
Speaker 3: a big problem, right, You ask them a complex question,

498
00:35:54,413 --> 00:35:59,413
Speaker 3: and it wants to break it down into little bits,

499
00:36:00,453 --> 00:36:04,173
Speaker 3: and then it starts to get lost in the bits,

500
00:36:04,733 --> 00:36:09,493
Speaker 3: and that again is a kind of hallmark of what

501
00:36:09,973 --> 00:36:13,973
Speaker 3: human thinking is. We are constantly endeavoring not to get

502
00:36:13,973 --> 00:36:17,333
Speaker 3: lost in the detail. You know, at the back of

503
00:36:17,373 --> 00:36:21,213
Speaker 3: our minder are the big picture, and when we do

504
00:36:21,293 --> 00:36:24,853
Speaker 3: start to get lost in the detail, we kind of

505
00:36:25,173 --> 00:36:29,693
Speaker 3: recalibrate and get back to our fundamental goals in life.

506
00:36:29,853 --> 00:36:34,093
Speaker 3: AI apparently has not been able to do that. It can't,

507
00:36:34,893 --> 00:36:37,013
Speaker 3: you know, it can't learn. It's what it's doing is

508
00:36:37,133 --> 00:36:40,533
Speaker 3: looking back into the past, and the past is to

509
00:36:41,413 --> 00:36:47,933
Speaker 3: information dense. Essentially, there's so much information that it gets lost.

510
00:36:48,893 --> 00:36:53,733
Speaker 3: And the other thing that it does is it it

511
00:36:53,893 --> 00:36:56,453
Speaker 3: tends to try. I don't know whether you've ever interacted

512
00:36:56,653 --> 00:37:03,893
Speaker 3: with it in detail, but it wants it's programmed to

513
00:37:04,053 --> 00:37:07,253
Speaker 3: keep you involved because they have to sell this technology

514
00:37:08,413 --> 00:37:16,253
Speaker 3: that AI tends to become sycophantic. It tends to commiserate

515
00:37:16,333 --> 00:37:20,093
Speaker 3: with your point of view, and people are actually going

516
00:37:20,213 --> 00:37:24,373
Speaker 3: mad using it AI because if you've got some kind

517
00:37:24,413 --> 00:37:27,533
Speaker 3: of wild idea, perhaps it has to do with aliens

518
00:37:27,693 --> 00:37:32,813
Speaker 3: or some other conspiracy theory, then AI will start to

519
00:37:32,813 --> 00:37:37,613
Speaker 3: play up to that, it will start to empathize with you,

520
00:37:38,733 --> 00:37:42,413
Speaker 3: and it can really send you down a rabbit hole.

521
00:37:42,493 --> 00:37:44,933
Speaker 3: I know there's all this talk about people going down

522
00:37:44,973 --> 00:37:49,133
Speaker 3: the rabbit hole because they were concerned about COVID vaccination,

523
00:37:49,853 --> 00:37:52,013
Speaker 3: but it was the other way round. It was this

524
00:37:52,133 --> 00:37:58,573
Speaker 3: sort of tech driven ideas that were not real science

525
00:37:58,693 --> 00:38:01,293
Speaker 3: that were driving people into rabbit holes.

526
00:38:01,653 --> 00:38:07,413
Speaker 2: There is another sector of this discussion from Maryann de Massi.

527
00:38:08,413 --> 00:38:12,333
Speaker 2: Marsi is an investigative medical reporter with a PhD.

528
00:38:11,853 --> 00:38:13,573
Speaker 3: And I'm familiar with her.

529
00:38:13,533 --> 00:38:17,173
Speaker 2: Rumatology, but I'm doing this for others who write for

530
00:38:17,413 --> 00:38:22,213
Speaker 2: online media and top tiered medical journals for overt what.

531
00:38:22,933 --> 00:38:25,733
Speaker 2: I've mentioned her before, and I approached her when she

532
00:38:25,773 --> 00:38:29,973
Speaker 2: first when she first went into publishing on the net

533
00:38:30,253 --> 00:38:34,373
Speaker 2: like this. We write to her and she gave us

534
00:38:34,373 --> 00:38:37,133
Speaker 2: a very good explanation of why she wouldn't do an interview,

535
00:38:37,213 --> 00:38:40,133
Speaker 2: and that was because she wanted to be quite separate

536
00:38:40,253 --> 00:38:44,293
Speaker 2: from anything media so that she could never be sort

537
00:38:44,333 --> 00:38:48,053
Speaker 2: of accused of things that she wasn't really guilty of anyway.

538
00:38:48,973 --> 00:38:53,613
Speaker 2: Hundreds of drugs approved without proof they work. Now you

539
00:38:53,653 --> 00:38:54,293
Speaker 2: agree with.

540
00:38:54,213 --> 00:39:00,693
Speaker 3: That, yeah, absolutely. I mean, just what Robert Kennedy Junior

541
00:39:00,893 --> 00:39:04,853
Speaker 3: is instituting and some of the people who he's appointed

542
00:39:04,973 --> 00:39:11,053
Speaker 3: to two positions in in the Health and Human Services

543
00:39:11,253 --> 00:39:19,133
Speaker 3: section in America, they are backtracking into demanding a level

544
00:39:19,173 --> 00:39:24,173
Speaker 3: of proof for drugs. And this is very important because

545
00:39:25,413 --> 00:39:30,373
Speaker 3: what we're finding is drugs are sold as miracle cures

546
00:39:30,573 --> 00:39:37,653
Speaker 3: when the size their effect sizes are very, very small.

547
00:39:37,813 --> 00:39:42,453
Speaker 3: And I point out in particular at one of the

548
00:39:42,493 --> 00:39:48,733
Speaker 3: most commonly prescribed heart drugs in New Zealand, the Tiagra Law.

549
00:39:49,813 --> 00:39:54,693
Speaker 3: Thiagra Law is a blood thinner, often given to people

550
00:39:54,853 --> 00:39:59,733
Speaker 3: after they've had a cardiac event, and a study published

551
00:40:00,053 --> 00:40:06,093
Speaker 3: last week in the BMJ brought the whole original trial

552
00:40:06,333 --> 00:40:13,333
Speaker 3: of Tiagra Law into some scrutiny and disrepute because one

553
00:40:13,493 --> 00:40:20,093
Speaker 3: third of the trial data results were discarded by the researchers,

554
00:40:20,173 --> 00:40:26,013
Speaker 3: and if you include those discarded outcomes in the trial.

555
00:40:26,693 --> 00:40:33,053
Speaker 3: Tiagra law can have a negative effect on recovery from

556
00:40:33,093 --> 00:40:39,253
Speaker 3: a heart attack or more particularly, it was less effective

557
00:40:39,413 --> 00:40:47,013
Speaker 3: than the drug it replaced, chloropelladol, and yet it's now

558
00:40:47,053 --> 00:40:51,253
Speaker 3: the gold standard. So it was a fiddled trial. And

559
00:40:51,293 --> 00:40:54,613
Speaker 3: when we look at the effect size that how effective

560
00:40:54,653 --> 00:40:58,813
Speaker 3: it is, it runs about one point nine percent, that's

561
00:40:58,973 --> 00:41:03,613
Speaker 3: two out of fifty. It had a tiny effect size,

562
00:41:03,973 --> 00:41:09,653
Speaker 3: and yet it's the gold standard, whereas exercise diet have

563
00:41:10,453 --> 00:41:13,253
Speaker 3: effect sizes of the order of thirty percent when it

564
00:41:13,293 --> 00:41:17,493
Speaker 3: comes to heart problems. So why aren't our doctors that's

565
00:41:17,573 --> 00:41:25,533
Speaker 3: thirty Why aren't our doctors concentrating on advising people about

566
00:41:25,573 --> 00:41:31,493
Speaker 3: improvements in diet and exercise and meditation when it comes

567
00:41:31,533 --> 00:41:36,213
Speaker 3: to heart problems. And we do have a massive problem

568
00:41:37,093 --> 00:41:41,493
Speaker 3: that has accelerated since the pandemic with heart attacks and strokes.

569
00:41:42,653 --> 00:41:47,493
Speaker 3: So if you're serious about dealing with the epidemic of

570
00:41:47,573 --> 00:41:55,093
Speaker 3: heart attacks, exercise, diet, meditation can have a massive impact

571
00:41:55,573 --> 00:42:02,213
Speaker 3: on your survival and getting back to full health. And

572
00:42:02,333 --> 00:42:05,933
Speaker 3: yet here we are dealing with a drug whose original

573
00:42:06,093 --> 00:42:08,813
Speaker 3: trial was apparently apparently started.

574
00:42:09,093 --> 00:42:13,133
Speaker 2: Yeah, I have to throw in here, I'm obliged to

575
00:42:13,253 --> 00:42:17,653
Speaker 2: I feel that you have been criticized for some of

576
00:42:17,693 --> 00:42:20,533
Speaker 2: the approaches that you have with regard to health, like

577
00:42:20,573 --> 00:42:25,533
Speaker 2: meditation and the associated things. Is that still in play,

578
00:42:26,173 --> 00:42:29,413
Speaker 2: that criticism, Yeah.

579
00:42:29,333 --> 00:42:32,213
Speaker 3: If you do a research. I mean, it's very interesting

580
00:42:32,253 --> 00:42:35,853
Speaker 3: again coming back to WHEREI actually because if you ask

581
00:42:35,933 --> 00:42:40,933
Speaker 3: about Guy Hatchard, then you come back to one article

582
00:42:41,413 --> 00:42:45,493
Speaker 3: written in Stuff magazine which was attacking me because I

583
00:42:45,533 --> 00:42:48,653
Speaker 3: was interested in meditation. So if you want to know

584
00:42:48,693 --> 00:42:51,573
Speaker 3: who I am and you ask Google, it's going to

585
00:42:51,613 --> 00:42:56,173
Speaker 3: repare you to an article written in Stuff newspaper which

586
00:42:56,293 --> 00:42:59,333
Speaker 3: was highly critical. It's not going to repare you to

587
00:42:59,453 --> 00:43:05,133
Speaker 3: my rebuttal of that article. And there again I had

588
00:43:05,173 --> 00:43:08,973
Speaker 3: a colleague of mind just sort of. They were waiting

589
00:43:09,013 --> 00:43:13,453
Speaker 3: in the hospital for their partner who was hospitalized for

590
00:43:13,493 --> 00:43:16,853
Speaker 3: a reason, so they were just doodling with AI and

591
00:43:16,893 --> 00:43:20,133
Speaker 3: they were asking. They ended up asking about me, and

592
00:43:20,173 --> 00:43:26,293
Speaker 3: they asked that is guy Hatchard opposed to biotechnology? And

593
00:43:26,373 --> 00:43:29,053
Speaker 3: the answer from me I came back He said, no, no,

594
00:43:29,373 --> 00:43:34,853
Speaker 3: he really quite likes technology. So we're living in a

595
00:43:34,893 --> 00:43:41,013
Speaker 3: sea of disinformation. Actually, I mean, you talry about meditation.

596
00:43:41,293 --> 00:43:44,373
Speaker 3: If you want to be able to trust something, the

597
00:43:44,413 --> 00:43:47,533
Speaker 3: best place to start is to trust yourself to understand

598
00:43:47,573 --> 00:43:51,493
Speaker 3: yourself more fully, and that's what meditation is all about.

599
00:43:52,333 --> 00:43:55,893
Speaker 3: And yes, it has enormous health benefits. And there are

600
00:43:55,933 --> 00:44:00,573
Speaker 3: some seven hundred published studies in the peer review journals

601
00:44:00,613 --> 00:44:04,413
Speaker 3: of the effect. For example of what I do transcendental meditation,

602
00:44:04,493 --> 00:44:07,693
Speaker 3: But there are different sorts of meditation which have been researched.

603
00:44:08,853 --> 00:44:13,333
Speaker 3: Beneficial technology, and I'm very proud to be associated with

604
00:44:13,413 --> 00:44:16,293
Speaker 3: it over a long period of time. There are lots

605
00:44:16,293 --> 00:44:21,373
Speaker 3: of things. It's not a panacea for everything. It just

606
00:44:21,453 --> 00:44:24,653
Speaker 3: has a very big effect size well.

607
00:44:24,693 --> 00:44:28,453
Speaker 2: I've known plenty of people through life who have participated

608
00:44:28,573 --> 00:44:33,373
Speaker 2: in it. I can't speak for the results. That's all

609
00:44:33,773 --> 00:44:39,333
Speaker 2: the last the most recent article that you wrote it

610
00:44:39,453 --> 00:44:42,893
Speaker 2: was June twenty nine, and we're recording this the day

611
00:44:42,933 --> 00:44:47,253
Speaker 2: after the desire to stay alive and the capacity to

612
00:44:47,293 --> 00:44:50,893
Speaker 2: give birth are under threat. After five and a half

613
00:44:50,973 --> 00:44:54,333
Speaker 2: years examining pandemic evidence, it's clear who should be winning

614
00:44:54,373 --> 00:44:57,693
Speaker 2: the argument, but it is also apparent that attitudes have

615
00:44:57,893 --> 00:45:02,133
Speaker 2: even hardened about what do you speak.

616
00:45:03,533 --> 00:45:08,893
Speaker 3: Well? Again, More studies are in the The UK Adult

617
00:45:09,053 --> 00:45:12,693
Speaker 3: Psychiatric Morbidity Survey was published on the twenty sixth of

618
00:45:12,813 --> 00:45:16,973
Speaker 3: June and it found one in four young people in

619
00:45:17,013 --> 00:45:20,573
Speaker 3: England now have a mental health condition, rising by thirty

620
00:45:20,973 --> 00:45:25,533
Speaker 3: seven percent between twenty fourteen and twenty twenty four and

621
00:45:25,773 --> 00:45:31,533
Speaker 3: most worryingly serious conditions such as self harm and suicide

622
00:45:31,973 --> 00:45:40,613
Speaker 3: suicidal thoughts have quadrupled. That's huge. This is affecting sixteen

623
00:45:40,653 --> 00:45:43,293
Speaker 3: to twenty four year olds and these are self harm.

624
00:45:43,413 --> 00:45:48,493
Speaker 3: It means that you know you're harming life, you're harming

625
00:45:48,493 --> 00:45:51,533
Speaker 3: your own life, and you know you're going through moments

626
00:45:51,533 --> 00:45:55,933
Speaker 3: where you don't wish to continue to live. And this

627
00:45:56,213 --> 00:46:04,533
Speaker 3: parallels more exact studies of the effect of vaccination that

628
00:46:04,613 --> 00:46:10,693
Speaker 3: we have reported on previously. South Korean Health System has

629
00:46:10,733 --> 00:46:14,333
Speaker 3: looked at two million people and found that there are

630
00:46:14,373 --> 00:46:20,813
Speaker 3: more psychiatric events following COVID vaccination than among the unvaccinated.

631
00:46:21,093 --> 00:46:23,893
Speaker 2: I'm going to be doing something on this in a

632
00:46:23,893 --> 00:46:27,253
Speaker 2: week or two or three. But assisted suicide do you

633
00:46:27,293 --> 00:46:31,053
Speaker 2: have an opinion on it? Absolutely that you'd like that

634
00:46:31,133 --> 00:46:36,173
Speaker 2: you'd like to It's so subject to abuse.

635
00:46:37,533 --> 00:46:40,853
Speaker 3: You know, in countries where they've had it for a

636
00:46:40,893 --> 00:46:45,253
Speaker 3: long time, like Canada, the number of people going through

637
00:46:45,293 --> 00:46:53,253
Speaker 3: the system is increasing and you know it's I personally

638
00:46:53,933 --> 00:46:57,013
Speaker 3: feel that it can be subject to abuse. And again

639
00:46:57,053 --> 00:47:02,013
Speaker 3: I go back to the whole program of Euphnasia and

640
00:47:02,573 --> 00:47:07,013
Speaker 3: in the nineteen thirties in Germany it was you know,

641
00:47:07,133 --> 00:47:13,853
Speaker 3: the useless eater idea. And you can see in families

642
00:47:13,893 --> 00:47:18,613
Speaker 3: already in the country, like in Canada, that families can

643
00:47:18,693 --> 00:47:23,613
Speaker 3: start to put pressure on their elders. Oh you know,

644
00:47:23,773 --> 00:47:26,573
Speaker 3: it's life really worth living, and so on so forth.

645
00:47:28,013 --> 00:47:34,013
Speaker 3: I you know, I'm a religious person and I agree

646
00:47:34,013 --> 00:47:37,373
Speaker 3: with Robert Frost. Something has to be left to God.

647
00:47:37,893 --> 00:47:43,973
Speaker 3: And I've had some wonderful experiences around the process of

648
00:47:44,053 --> 00:47:47,613
Speaker 3: passing from this life, and I know it's a sacred

649
00:47:47,653 --> 00:47:54,293
Speaker 3: moment and leave it to God. I have a great

650
00:47:54,333 --> 00:47:56,573
Speaker 3: faith in nature.

651
00:47:56,373 --> 00:48:01,013
Speaker 2: Where does that leave things if you're not a believer.

652
00:48:04,213 --> 00:48:06,853
Speaker 3: Well, there are the laws of nature. Whether you call

653
00:48:06,893 --> 00:48:10,813
Speaker 3: them God's will or whether you just realize that there

654
00:48:10,813 --> 00:48:16,973
Speaker 3: are laws of nature and they're ruling our life. They

655
00:48:17,053 --> 00:48:22,733
Speaker 3: are you know, the sun rising every day has more

656
00:48:22,773 --> 00:48:29,333
Speaker 3: effect than any government. It's life giving, the waters, the winds,

657
00:48:29,533 --> 00:48:35,373
Speaker 3: the the gravity. You know, there's a there's a cosmic

658
00:48:35,493 --> 00:48:41,133
Speaker 3: system there, and I think you know, you can understand

659
00:48:41,173 --> 00:48:46,653
Speaker 3: that nature there's a cosmic level of organization involves, and

660
00:48:46,693 --> 00:48:51,413
Speaker 3: whether one looks at that religiously or whether one looks

661
00:48:51,453 --> 00:48:58,493
Speaker 3: at it scientifically, there's a level of orderliness there in

662
00:48:58,613 --> 00:49:06,133
Speaker 3: life that is awesome, you know, described by people like

663
00:49:06,253 --> 00:49:11,253
Speaker 3: Einstein and the others with a sense of deep ore

664
00:49:11,453 --> 00:49:18,013
Speaker 3: and respect. There is something bigger going on in life.

665
00:49:19,973 --> 00:49:22,173
Speaker 3: The other thing that I talked about in the article

666
00:49:22,293 --> 00:49:25,573
Speaker 3: when we're talking about the desire to stay alive, was

667
00:49:25,653 --> 00:49:31,613
Speaker 3: a study of in Czechoslovakia, a study of one three

668
00:49:31,733 --> 00:49:35,693
Speaker 3: hundred thousand women ages eighteen to thirty nine. The rates

669
00:49:35,933 --> 00:49:41,453
Speaker 3: of successful conception among the COVID vaccinated women were considerably

670
00:49:41,573 --> 00:49:44,013
Speaker 3: lower than the unvaccinated And if you look at the

671
00:49:44,413 --> 00:49:47,973
Speaker 3: graph I always reference the original If you look at

672
00:49:47,973 --> 00:49:49,733
Speaker 3: the graph, the difference is huge.

673
00:49:50,813 --> 00:49:54,853
Speaker 2: I'm looking not at the graph but at the article.

674
00:49:57,773 --> 00:50:01,853
Speaker 3: If I put links in there in my articles back

675
00:50:01,893 --> 00:50:03,933
Speaker 3: to the original studies, and if you go back to

676
00:50:03,933 --> 00:50:07,573
Speaker 3: the original studies, then there was a very large difference.

677
00:50:08,333 --> 00:50:13,733
Speaker 3: It was much harder to become pregnant. And that's reflected

678
00:50:13,773 --> 00:50:17,973
Speaker 3: in the New Zealand data we've we had since COVID

679
00:50:18,053 --> 00:50:21,933
Speaker 3: vaccination came in, we had we've had a massive four

680
00:50:22,333 --> 00:50:30,493
Speaker 3: in fertility rates in the whole population, and you this

681
00:50:30,613 --> 00:50:33,413
Speaker 3: is there can hardly be two things that are more

682
00:50:33,453 --> 00:50:37,293
Speaker 3: relevant to the survival of the human race, the desire

683
00:50:37,333 --> 00:50:40,933
Speaker 3: to stay alive in the capacity to give birth. And

684
00:50:40,973 --> 00:50:45,093
Speaker 3: that's this is what we're seeing. I mean even today

685
00:50:46,293 --> 00:50:49,653
Speaker 3: I wrote this article we're referring to yesterday, but even

686
00:50:49,693 --> 00:50:55,893
Speaker 3: today in the UK twenty twenty four compared to twenty

687
00:50:55,973 --> 00:50:59,933
Speaker 3: twenty three, there has been a forty five percent increase

688
00:51:00,253 --> 00:51:04,453
Speaker 3: in visits to doctors for asthma in the UK.

689
00:51:05,813 --> 00:51:09,053
Speaker 2: That I have to ask, even though you get to

690
00:51:09,093 --> 00:51:10,773
Speaker 2: answer it, how come.

691
00:51:12,133 --> 00:51:18,773
Speaker 3: It's you know, asthma has obviously is connected to quality

692
00:51:18,813 --> 00:51:21,573
Speaker 3: of air and pollution like that so forth, but there

693
00:51:21,613 --> 00:51:26,573
Speaker 3: hasn't been an increase of forty five percent pollution between

694
00:51:26,573 --> 00:51:35,053
Speaker 3: twenty three and twenty four in the UK. It our response,

695
00:51:35,093 --> 00:51:43,373
Speaker 3: our an asthmatic response is connected with an immune response.

696
00:51:43,413 --> 00:51:47,333
Speaker 3: It's not an autoimmune condition. It's not the immune system

697
00:51:47,373 --> 00:51:52,773
Speaker 3: attacking itself, but the body's capacity to manage it and

698
00:51:52,853 --> 00:51:58,533
Speaker 3: to overcome an asthmatic attack is related to the capacity

699
00:51:58,573 --> 00:52:03,293
Speaker 3: of our immune system. And what we have seen with

700
00:52:03,453 --> 00:52:09,493
Speaker 3: these We have to remember that COVID vaccination is specifically

701
00:52:10,253 --> 00:52:18,093
Speaker 3: a biotech intervention designed to change our genetic response to

702
00:52:18,213 --> 00:52:23,653
Speaker 3: a pathogen. It changes our immune system, and that's the

703
00:52:23,813 --> 00:52:30,093
Speaker 3: long term effect, in my opinion, irreversible. Well time is

704
00:52:30,093 --> 00:52:34,933
Speaker 3: going to tell, isn't it. I it's certainly what the

705
00:52:34,973 --> 00:52:38,413
Speaker 3: studies show is the more shots you have, the more

706
00:52:40,133 --> 00:52:43,773
Speaker 3: chance that you had of serious illness.

707
00:52:44,333 --> 00:52:51,373
Speaker 2: Do you believe with evidence that those at the top

708
00:52:52,693 --> 00:52:55,333
Speaker 2: and I look to America first of all, but then

709
00:52:55,373 --> 00:52:59,093
Speaker 2: you've got to look to no, I'll get to us

710
00:52:59,133 --> 00:53:04,173
Speaker 2: in a minute, but to the top echelon of decision

711
00:53:04,213 --> 00:53:08,293
Speaker 2: makers when it comes to this and feel that criminal

712
00:53:08,453 --> 00:53:12,493
Speaker 2: charges are worthy.

713
00:53:13,933 --> 00:53:18,133
Speaker 3: You know, when when when ninety percent of the population

714
00:53:18,333 --> 00:53:24,053
Speaker 3: have done something, is it ever going to come criminal charges?

715
00:53:24,213 --> 00:53:31,453
Speaker 3: It's sort of it's you know, I see it coming

716
00:53:31,493 --> 00:53:35,693
Speaker 3: to a crisis. I look, I'm going to go back

717
00:53:35,733 --> 00:53:38,853
Speaker 3: to Germany again. I'm sorry. I know it's not. It's

718
00:53:38,973 --> 00:53:42,573
Speaker 3: not you know it criticize you, but you know, when

719
00:53:42,613 --> 00:53:48,493
Speaker 3: you get mass acceptance of Nazism as you did, the

720
00:53:48,893 --> 00:53:51,253
Speaker 3: only way it was going to change was was the

721
00:53:51,293 --> 00:53:54,253
Speaker 3: whole thing coming to a massive crisis. And that is

722
00:53:54,333 --> 00:53:58,373
Speaker 3: where we are at now. We have a massive health

723
00:53:58,493 --> 00:54:03,053
Speaker 3: crisis and the change is not going to come out

724
00:54:03,053 --> 00:54:09,413
Speaker 3: of the process of the judiciary. It's far more likely

725
00:54:09,613 --> 00:54:13,693
Speaker 3: to come out of the results of a health crisis.

726
00:54:14,013 --> 00:54:17,933
Speaker 3: And that's the Again, I come back to the experiment

727
00:54:18,053 --> 00:54:23,653
Speaker 3: by Thomas Coombs sighted the anomalous card experiment. People go

728
00:54:23,773 --> 00:54:26,813
Speaker 3: through a sort of crisis where they become worried. They're

729
00:54:26,813 --> 00:54:28,893
Speaker 3: seeing these cards and they're not sure of this and

730
00:54:28,933 --> 00:54:32,613
Speaker 3: what I'm not sure of that one. And then suddenly

731
00:54:32,693 --> 00:54:38,173
Speaker 3: there's a change. And when there's a huge change like that,

732
00:54:40,413 --> 00:54:45,693
Speaker 3: then you know, I can see massive social change rather

733
00:54:45,773 --> 00:54:52,893
Speaker 3: than specific court cases or legal I think you know

734
00:54:53,013 --> 00:54:55,493
Speaker 3: that what we're looking at here is the possibility of

735
00:54:55,573 --> 00:55:00,293
Speaker 3: a big awakening, and we're seeing signs of it already.

736
00:55:00,373 --> 00:55:03,413
Speaker 2: I think, I think you're right. Is Kennedy doing a

737
00:55:03,413 --> 00:55:03,893
Speaker 2: good job?

738
00:55:05,773 --> 00:55:11,013
Speaker 3: Yeah, well he's doing he's pushing pushing against the whole system,

739
00:55:11,493 --> 00:55:17,653
Speaker 3: and he's yeah, he's getting a massive amount of criticism,

740
00:55:18,053 --> 00:55:22,613
Speaker 3: but you know, he's pushing back and he's appointed some

741
00:55:22,693 --> 00:55:26,213
Speaker 3: people who are very well respected.

742
00:55:27,413 --> 00:55:30,893
Speaker 2: Doesn't does it? Does it occur? And or bother? You

743
00:55:31,213 --> 00:55:39,373
Speaker 2: that if there is a change of if there's a

744
00:55:39,453 --> 00:55:44,213
Speaker 2: change in the presidency at the next presidential election, to

745
00:55:44,333 --> 00:55:48,853
Speaker 2: the other side, I say, God forbid but if there

746
00:55:49,053 --> 00:55:52,093
Speaker 2: was that, all of this will very likely get reversed.

747
00:55:53,733 --> 00:55:59,093
Speaker 3: We're not going back to where we were before. I'm

748
00:55:59,173 --> 00:56:04,533
Speaker 3: seeing we may enter a crisis. I mean, we look

749
00:56:04,533 --> 00:56:06,893
Speaker 3: at what we've just been through in the last two weeks.

750
00:56:07,133 --> 00:56:11,493
Speaker 3: We we you know, we've we've seen a you know,

751
00:56:11,533 --> 00:56:13,693
Speaker 3: we've seen the world on a knife edge and the

752
00:56:13,773 --> 00:56:17,613
Speaker 3: kind of decision making that has had to go on

753
00:56:20,093 --> 00:56:23,893
Speaker 3: in the last two weeks to avoid a global crisis.

754
00:56:25,253 --> 00:56:28,613
Speaker 3: So I'm saying that, you know, if we lose that

755
00:56:28,653 --> 00:56:31,533
Speaker 3: capacity to deal with this, then we're going to get

756
00:56:31,533 --> 00:56:34,733
Speaker 3: a crisis, and change is going to be forced on

757
00:56:34,813 --> 00:56:39,773
Speaker 3: us one way or another. It's it's I mean, you know,

758
00:56:39,893 --> 00:56:42,453
Speaker 3: I can see running into the end of the decade,

759
00:56:42,493 --> 00:56:47,413
Speaker 3: looking at the health data running towards the end of

760
00:56:47,453 --> 00:56:53,373
Speaker 3: the decade, We're not just facing geopolitical crisis. We're facing

761
00:56:53,373 --> 00:56:57,093
Speaker 3: a health crisis that you know, could well turn into

762
00:56:57,493 --> 00:57:00,173
Speaker 3: something even worse than we're facing at the moment, and

763
00:57:00,253 --> 00:57:03,293
Speaker 3: it might force change on people. But coming out of

764
00:57:03,333 --> 00:57:07,693
Speaker 3: the other side of this, I'm kind of optimistic that

765
00:57:07,773 --> 00:57:09,693
Speaker 3: we're going to get out of the other side one

766
00:57:09,693 --> 00:57:12,813
Speaker 3: way or another, and we're going to have learned some

767
00:57:12,893 --> 00:57:15,133
Speaker 3: important lessons in the process.

768
00:57:14,933 --> 00:57:17,413
Speaker 2: And I can only hope, No, we can only hope

769
00:57:17,413 --> 00:57:22,093
Speaker 2: that you're correct. Let me ask you this question in finality,

770
00:57:23,133 --> 00:57:26,613
Speaker 2: out of what's on offer in the political world, is

771
00:57:26,693 --> 00:57:32,893
Speaker 2: there a structured government that you would like to see?

772
00:57:34,653 --> 00:57:38,413
Speaker 3: Yeah? Kind of million dollar question, isn't there? Who am

773
00:57:38,413 --> 00:57:41,053
Speaker 3: I going to vote for in the next election? And

774
00:57:42,813 --> 00:57:46,893
Speaker 3: I can't see anyone I'm keen to vote for. I

775
00:57:47,693 --> 00:57:52,333
Speaker 3: feel that we're kind of entering a different age really

776
00:57:52,373 --> 00:57:59,053
Speaker 3: where people have to be more responsible for themselves. And

777
00:57:59,133 --> 00:58:05,013
Speaker 3: that's you know, that process of self awakening or self

778
00:58:05,053 --> 00:58:10,213
Speaker 3: awareness is the threshold that we have, the political threshold

779
00:58:10,253 --> 00:58:13,813
Speaker 3: that we have to cross. But that's that's a very

780
00:58:13,853 --> 00:58:16,253
Speaker 3: abstract thing, isn't it.

781
00:58:16,293 --> 00:58:18,933
Speaker 2: But that's that's unlikely to happen unless there is a

782
00:58:18,933 --> 00:58:20,053
Speaker 2: crisis to trigger it.

783
00:58:21,573 --> 00:58:25,173
Speaker 3: Yeah. Probably. I mean, I'm realistic. How many people are

784
00:58:25,213 --> 00:58:28,533
Speaker 3: really going to be interested in in such kind of

785
00:58:28,653 --> 00:58:34,413
Speaker 3: abstract ideas. Look, we're changing with what we're facing is

786
00:58:34,493 --> 00:58:40,413
Speaker 3: really you know, a long history Western civilization has a

787
00:58:40,413 --> 00:58:46,573
Speaker 3: long history of war, conflict, distruction, and we've and the

788
00:58:46,733 --> 00:58:53,293
Speaker 3: destructive means, the destructive technologies have become so frightening that

789
00:58:53,973 --> 00:58:58,493
Speaker 3: we actually have to change and how that happens I

790
00:58:58,533 --> 00:59:02,853
Speaker 3: can't quite describe. I'm not a seer or but I

791
00:59:02,933 --> 00:59:04,493
Speaker 3: know that we have to change.

792
00:59:04,493 --> 00:59:10,733
Speaker 2: Well, change is caused by something, events, by a discovery,

793
00:59:10,853 --> 00:59:13,253
Speaker 2: by a necessity.

794
00:59:15,053 --> 00:59:19,173
Speaker 3: Yeah, well that's what you know. Harold McMillan, who was

795
00:59:19,293 --> 00:59:25,613
Speaker 3: Prime Minister of the UK with us once what's important

796
00:59:25,853 --> 00:59:30,613
Speaker 3: in politics? And he said, events, my dear boy. Events.

797
00:59:31,253 --> 00:59:33,853
Speaker 3: So you've hit the nail on the head, Laden. I

798
00:59:33,933 --> 00:59:38,653
Speaker 3: think there are a few events coming up, and I

799
00:59:38,693 --> 00:59:42,573
Speaker 3: think most people are aware there are some events, some

800
00:59:42,613 --> 00:59:47,173
Speaker 3: significant events that have yet to play out, and they're

801
00:59:47,213 --> 00:59:49,573
Speaker 3: going to have a big effect on our future. And

802
00:59:49,613 --> 00:59:53,733
Speaker 3: how we handle that is up to us. It's the

803
00:59:53,813 --> 00:59:57,413
Speaker 3: time to be more awake than we've been in the past.

804
00:59:57,613 --> 01:00:01,693
Speaker 2: Well, there's one one statement I'll make a finality, and

805
01:00:01,733 --> 01:00:05,973
Speaker 2: that is that the one thing that must never happen

806
01:00:06,293 --> 01:00:11,093
Speaker 2: is that we lose our personal sovereignty. Yeah, and there

807
01:00:11,733 --> 01:00:13,213
Speaker 2: are forces of foot that want to do that.

808
01:00:13,813 --> 01:00:19,293
Speaker 3: Yeah, but they're not going to win, that's my opinion.

809
01:00:19,613 --> 01:00:22,573
Speaker 2: What you mean, just did Sinda didn't get your guns?

810
01:00:24,493 --> 01:00:30,093
Speaker 3: Well? Yeah, God to Cinder to Cinda's history, now, isn't she? Well?

811
01:00:32,973 --> 01:00:37,933
Speaker 3: The book a book, the company Penguin that published a book,

812
01:00:37,973 --> 01:00:40,253
Speaker 3: thought they would sell one hundred and forty thousand copies.

813
01:00:40,333 --> 01:00:42,213
Speaker 3: It sold fourteen thousand copies.

814
01:00:42,573 --> 01:00:44,693
Speaker 2: Well, there was the number one best selling book this

815
01:00:44,773 --> 01:00:48,733
Speaker 2: week according to the Listener this week last week when

816
01:00:49,093 --> 01:00:52,173
Speaker 2: whenever it was I'm on release, I'm.

817
01:00:51,973 --> 01:00:55,733
Speaker 3: Going to be optimistic. I'm just going to be optimistic.

818
01:00:56,013 --> 01:01:01,693
Speaker 3: If we tap into who we are as human beings,

819
01:01:02,413 --> 01:01:05,893
Speaker 3: We're going to get through this. We're going and one

820
01:01:05,933 --> 01:01:10,093
Speaker 3: way or another, whether it's a a crisis that forces

821
01:01:10,093 --> 01:01:12,733
Speaker 3: it upon us, or whether we take our future into

822
01:01:12,813 --> 01:01:15,973
Speaker 3: our own hands, and we may have to go through

823
01:01:16,013 --> 01:01:21,013
Speaker 3: a lot. We may face things that we didn't expect

824
01:01:21,213 --> 01:01:24,693
Speaker 3: were going to happen and may be difficult, but we're

825
01:01:24,733 --> 01:01:26,093
Speaker 3: going to come out the other side.

826
01:01:26,573 --> 01:01:30,013
Speaker 2: And on that note, I'll say one more thing actually

827
01:01:31,253 --> 01:01:35,413
Speaker 2: that tack onto the personal sovereignty, the fact that the

828
01:01:35,493 --> 01:01:38,653
Speaker 2: science has never settled, and anybody who tells you it's

829
01:01:38,653 --> 01:01:43,773
Speaker 2: settled science is either ignorant or stupid or both.

830
01:01:44,693 --> 01:01:48,773
Speaker 3: You know, there's a level of the level of the mind.

831
01:01:48,293 --> 01:01:52,013
Speaker 3: You know it's truth itself. There's a level of the

832
01:01:52,093 --> 01:01:57,453
Speaker 3: mind universal consciousness, which is truth, which people throughout the

833
01:01:57,493 --> 01:02:02,413
Speaker 3: ages are recorded as experiencing self realization, if you like,

834
01:02:03,013 --> 01:02:07,133
Speaker 3: and that has arrived through the subjective means of gaining knowledge.

835
01:02:08,813 --> 01:02:13,213
Speaker 3: The world around us is constantly changing, and we're looking

836
01:02:13,253 --> 01:02:16,893
Speaker 3: at that with science through the objective means of gaining knowledge.

837
01:02:17,973 --> 01:02:20,733
Speaker 3: And so there's always going to be some doubt there

838
01:02:21,013 --> 01:02:27,933
Speaker 3: and some you know, changing circumstances. But the most settled

839
01:02:28,013 --> 01:02:33,893
Speaker 3: double of universal consciousness is non changing. It is truth itself.

840
01:02:34,213 --> 01:02:37,133
Speaker 3: And so this is the age old injunction. It was,

841
01:02:38,533 --> 01:02:40,733
Speaker 3: you know, the Kingdom of Heaven is within you or

842
01:02:41,333 --> 01:02:45,093
Speaker 3: it's there, and the punishads or in almost every tradition

843
01:02:45,213 --> 01:02:48,973
Speaker 3: of knowledge in the world that ultimately we have to

844
01:02:49,053 --> 01:02:49,853
Speaker 3: know ourselves.

845
01:02:50,933 --> 01:02:54,173
Speaker 2: That was my school one of my school's mottos, know thyself.

846
01:02:56,053 --> 01:02:59,093
Speaker 2: I do want to add one more thing, Yeah, that's

847
01:02:59,333 --> 01:03:02,973
Speaker 2: that's and it goes back to AI. I think AI

848
01:03:03,493 --> 01:03:07,453
Speaker 2: has value at a certain level or to a certain level.

849
01:03:07,773 --> 01:03:11,893
Speaker 2: It's an ounced what search engine? Would that be fair?

850
01:03:12,533 --> 01:03:14,773
Speaker 3: Do you know? I'm going to take the opposite view

851
01:03:14,973 --> 01:03:18,413
Speaker 3: here late and I just I just think it's a

852
01:03:19,093 --> 01:03:24,053
Speaker 3: it's a dead end if you give up thinking, you know,

853
01:03:24,173 --> 01:03:26,853
Speaker 3: after all, the whole thing is that is to let

854
01:03:26,893 --> 01:03:29,253
Speaker 3: someone else do the thinking for you that's danger.

855
01:03:29,853 --> 01:03:35,773
Speaker 2: But my wife used it only yesterday to because she's

856
01:03:35,813 --> 01:03:40,333
Speaker 2: intrigued with it to find out where I can take

857
01:03:40,413 --> 01:03:45,333
Speaker 2: my bootful of used print printer machinery to get rid

858
01:03:45,373 --> 01:03:47,333
Speaker 2: of it, because you can't put it in the rubbish pins.

859
01:03:47,373 --> 01:03:51,973
Speaker 2: I'm talking about printer, printer cartridges, et cetera. When they're dead.

860
01:03:52,413 --> 01:03:53,853
Speaker 2: You can't put it. You can't put it in the

861
01:03:53,933 --> 01:03:56,613
Speaker 2: rubbish bin. There used to be a place that I

862
01:03:56,653 --> 01:04:00,493
Speaker 2: took it in on the North Shore and that got

863
01:04:00,493 --> 01:04:05,613
Speaker 2: burnt down, hence the bootful. So she did a search,

864
01:04:06,773 --> 01:04:08,653
Speaker 2: came up with four places on the shore or that

865
01:04:08,773 --> 01:04:11,333
Speaker 2: I would never have even sort of, including a couple

866
01:04:11,333 --> 01:04:12,413
Speaker 2: of retail outlets.

867
01:04:12,733 --> 01:04:14,493
Speaker 3: That's a search engine function.

868
01:04:14,213 --> 01:04:15,973
Speaker 2: Exactly exactly my point.

869
01:04:16,973 --> 01:04:19,973
Speaker 3: I think search engines I use all the time, and I,

870
01:04:20,093 --> 01:04:23,173
Speaker 3: by the way, if I do a Google search, I

871
01:04:23,293 --> 01:04:29,133
Speaker 3: put that the first two words, I put scholarly article,

872
01:04:29,973 --> 01:04:33,853
Speaker 3: and then I put my question, and then it gives

873
01:04:33,853 --> 01:04:41,373
Speaker 3: you scientific references in reputable journals, and that that saves

874
01:04:41,413 --> 01:04:42,733
Speaker 3: me from a lot of rubbish.

875
01:04:43,213 --> 01:04:47,093
Speaker 2: I'm sorry, Was that in a search engine or using AI.

876
01:04:47,853 --> 01:04:50,053
Speaker 3: In a search engine? I don't use AI. I use

877
01:04:50,133 --> 01:04:53,773
Speaker 3: search engines, but they're all AI driven. Now a search.

878
01:04:54,693 --> 01:04:58,733
Speaker 3: They've changed, you know, it has changed recently. So you

879
01:04:58,813 --> 01:05:02,533
Speaker 3: put that in scholarly article and then you get you

880
01:05:03,173 --> 01:05:06,173
Speaker 3: instead of getting some potted summary which may or may

881
01:05:06,213 --> 01:05:11,013
Speaker 3: not be true or right or accurate, you get referred

882
01:05:11,053 --> 01:05:15,333
Speaker 3: back to the original peer reviewed study.

883
01:05:15,773 --> 01:05:19,453
Speaker 2: Well, I've just written that down. So about a thousand

884
01:05:19,613 --> 01:05:25,693
Speaker 2: other people, well maybe maybe forty thousand other people. Anyways,

885
01:05:25,773 --> 01:05:29,413
Speaker 2: great helpful. Actually you've been very helpful. It's been a

886
01:05:29,493 --> 01:05:34,493
Speaker 2: very very pleasant discussion and we've covered a fairly broad base.

887
01:05:35,693 --> 01:05:39,933
Speaker 2: So once again, thank you, well, thank you late.

888
01:05:40,253 --> 01:05:44,533
Speaker 3: It's always a pleasure to talk with you. It's you know,

889
01:05:44,613 --> 01:05:49,493
Speaker 3: we can range over quite a big range of topics

890
01:05:49,653 --> 01:05:52,733
Speaker 3: and put them together and I think that's, you know,

891
01:05:52,853 --> 01:05:55,733
Speaker 3: something that's useful, very useful for everybody.

892
01:05:55,893 --> 01:05:59,013
Speaker 2: So for the Hatchet Report, how do people access.

893
01:05:58,613 --> 01:06:02,693
Speaker 3: It hatcheed Report dot com And you can subscribe there

894
01:06:02,773 --> 01:06:08,133
Speaker 3: and subscribing just means that you'll get our articles when

895
01:06:08,133 --> 01:06:09,973
Speaker 3: they come out directly to your inbox.

896
01:06:10,013 --> 01:06:12,813
Speaker 2: And you don't charge, No, I don't.

897
01:06:12,893 --> 01:06:16,573
Speaker 3: I mean we rely on donations, but there is no charge.

898
01:06:16,693 --> 01:06:21,373
Speaker 2: Now, beautiful, very generous, and I again thank you, and

899
01:06:22,013 --> 01:06:25,493
Speaker 2: undoubtedly we'll repeat the exercise somewhere down the track.

900
01:06:25,893 --> 01:06:29,693
Speaker 3: Yeah, looking forward to it. Take care, Take care.

901
01:06:45,693 --> 01:06:48,293
Speaker 2: Now, missus producer the mail Room for podcast number two

902
01:06:48,373 --> 01:06:51,453
Speaker 2: hundred and ninety one, high lighton how are you. I'm

903
01:06:51,533 --> 01:06:52,213
Speaker 2: very well, thank you.

904
01:06:52,293 --> 01:06:54,453
Speaker 4: We were just saying this morning, how lovely it was

905
01:06:54,533 --> 01:06:59,333
Speaker 4: to continually get such great mail. So please, folks, if

906
01:06:59,373 --> 01:07:03,013
Speaker 4: you feel like contributing, please just let us know.

907
01:07:03,093 --> 01:07:03,613
Speaker 3: We love it.

908
01:07:04,533 --> 01:07:06,093
Speaker 2: Indeed, especially you.

909
01:07:06,293 --> 01:07:08,333
Speaker 4: Well, you sit in a little studio for twenty four

910
01:07:08,373 --> 01:07:10,093
Speaker 4: hours a day, seven days a week, so to know

911
01:07:10,133 --> 01:07:11,933
Speaker 4: that somebody listening is rather lovely.

912
01:07:12,773 --> 01:07:16,773
Speaker 2: Fake not fake news. It might be close, but it's

913
01:07:16,853 --> 01:07:21,493
Speaker 2: not right from Adrian, who decided he was going to

914
01:07:21,493 --> 01:07:23,933
Speaker 2: get it on the mailroom early, and this was posted

915
01:07:24,013 --> 01:07:27,253
Speaker 2: the twenty seventh of June, which was probably the date

916
01:07:27,293 --> 01:07:31,333
Speaker 2: of the last one accout. Quite recall getting in early

917
01:07:31,373 --> 01:07:33,733
Speaker 2: on the mailroom, as I'm guessing you'll be covering this

918
01:07:33,973 --> 01:07:39,493
Speaker 2: in the upcoming episode. I'm old enough to remember listening

919
01:07:39,493 --> 01:07:43,613
Speaker 2: to your radio show, hearing your alarm when it looked

920
01:07:43,693 --> 01:07:47,293
Speaker 2: like a fresh faced socialist bartender was going to tip

921
01:07:47,333 --> 01:07:51,173
Speaker 2: out a long sitting New York congressman, And all these

922
01:07:51,253 --> 01:07:58,453
Speaker 2: years later, Alexandria occasional Cortex is now arguably the front

923
01:07:58,533 --> 01:08:03,013
Speaker 2: runner for the DNC twenty twenty eight presidential candidacy. What

924
01:08:03,053 --> 01:08:05,213
Speaker 2: are your thoughts on the upcoming mayoral race for New

925
01:08:05,293 --> 01:08:09,173
Speaker 2: York City and more importantly, how long until President Trump

926
01:08:09,293 --> 01:08:15,173
Speaker 2: coins the term zoron the moron? Well, I think that

927
01:08:15,293 --> 01:08:19,373
Speaker 2: might catch on, actually, So as to the last question

928
01:08:19,493 --> 01:08:23,293
Speaker 2: or questions, I'll say that Trump likes to be original,

929
01:08:23,333 --> 01:08:25,653
Speaker 2: So you've stolen zoron the moron, So we'll go somewhere

930
01:08:25,933 --> 01:08:28,333
Speaker 2: somewhere else for it. But as for other things, one

931
01:08:28,373 --> 01:08:30,453
Speaker 2: of my thoughts on the upcoming meroral race for New

932
01:08:30,533 --> 01:08:34,453
Speaker 2: York City if the moron gets in. If he does,

933
01:08:35,053 --> 01:08:38,893
Speaker 2: I just don't know how bad it can get, is

934
01:08:38,893 --> 01:08:41,533
Speaker 2: the way I'll leave it at this point. But there's

935
01:08:41,573 --> 01:08:42,733
Speaker 2: more coming up on that.

936
01:08:44,373 --> 01:08:48,053
Speaker 4: Paul says, good A Layton. I always enjoy some ramesh

937
01:08:48,093 --> 01:08:51,133
Speaker 4: the cur on your pod. I had my doubts about him,

938
01:08:51,133 --> 01:08:53,533
Speaker 4: considering he was part of the UN and has worked

939
01:08:53,533 --> 01:08:57,693
Speaker 4: in the disarmament area, but he speaks so much sense. Interestingly,

940
01:08:57,893 --> 01:09:00,693
Speaker 4: I believe the disarmament program at the UN is funded

941
01:09:00,733 --> 01:09:04,773
Speaker 4: by the Swiss, who steadfastly do not disarm. Clever Fellows

942
01:09:04,813 --> 01:09:08,173
Speaker 4: to get everyone else to disarm. I believe we, like

943
01:09:08,333 --> 01:09:10,893
Speaker 4: America and Switzerland, would be well served by a Second

944
01:09:10,933 --> 01:09:15,013
Speaker 4: Amendment style law. Here we are too small economically, geographically

945
01:09:15,093 --> 01:09:18,013
Speaker 4: and militarily to be defended by a modern land army.

946
01:09:18,173 --> 01:09:21,253
Speaker 4: But we'd look less easy prey if folks were armed here.

947
01:09:22,213 --> 01:09:24,373
Speaker 4: Next time you get a chance, can you ask Gramash

948
01:09:24,373 --> 01:09:28,853
Speaker 4: about his thoughts on civilian and or government disarmament. I'm

949
01:09:28,853 --> 01:09:31,653
Speaker 4: all for governments to disarm. They have done the vast

950
01:09:31,733 --> 01:09:33,653
Speaker 4: bulk of the killing in history.

951
01:09:34,013 --> 01:09:39,293
Speaker 2: Well we're together on that one pretty much. But you actually, well,

952
01:09:39,493 --> 01:09:44,093
Speaker 2: Carolyn was reading that, I just quickly had a think

953
01:09:44,573 --> 01:09:47,573
Speaker 2: out of all the interviews that I've done with a

954
01:09:47,653 --> 01:09:51,613
Speaker 2: multitude of people over what is nearly seven years now,

955
01:09:52,053 --> 01:09:54,493
Speaker 2: if I was going to draw up a list of

956
01:09:55,373 --> 01:10:01,493
Speaker 2: the top ten, I'd struggle. I'd struggle because there's more

957
01:10:01,533 --> 01:10:03,333
Speaker 2: than that. There's more than ten to be in the

958
01:10:03,333 --> 01:10:06,813
Speaker 2: top ten, and i'd probably make it about twenty or

959
01:10:06,813 --> 01:10:09,733
Speaker 2: something along those lines. If I was going to have

960
01:10:09,853 --> 01:10:14,173
Speaker 2: to do it for whatever reason, Ramesh would be in

961
01:10:14,213 --> 01:10:19,653
Speaker 2: the top three. So again from Mike, Ramesh was outstanding

962
01:10:19,693 --> 01:10:23,413
Speaker 2: as usual in two ninety Just as a matter of interest,

963
01:10:23,493 --> 01:10:28,013
Speaker 2: I wonder if you've heard of two CTV. Well, I

964
01:10:28,093 --> 01:10:35,333
Speaker 2: haven't and I don't toc Tousi TV www dot twoc

965
01:10:35,453 --> 01:10:40,173
Speaker 2: dot TV. Tuc is of Iranian descent and lives in London.

966
01:10:40,213 --> 01:10:44,693
Speaker 2: His father is still in Tehran. Tuc is a genuine conservative.

967
01:10:45,253 --> 01:10:49,333
Speaker 2: His TV channel on YouTube covers news, often within minutes

968
01:10:49,333 --> 01:10:52,613
Speaker 2: of incidents occurring around the world. He has people on

969
01:10:52,653 --> 01:10:56,773
Speaker 2: the ground in many countries who frequently provide short video

970
01:10:56,853 --> 01:11:00,693
Speaker 2: clips of incidents which have just occurred. His coverage of

971
01:11:00,693 --> 01:11:04,773
Speaker 2: the Israeli Iran conflict has been very good. Why I'm

972
01:11:04,853 --> 01:11:09,253
Speaker 2: telling you this is that on auguston he will be

973
01:11:09,333 --> 01:11:13,413
Speaker 2: launching his new TV channel in London. He's been frustrated

974
01:11:13,573 --> 01:11:17,413
Speaker 2: but the conservative media doesn't have a united voice, so

975
01:11:17,533 --> 01:11:21,693
Speaker 2: he has gathered a huge number of podcasters and qualified

976
01:11:21,773 --> 01:11:25,053
Speaker 2: journalists all over the world who will be contributing with

977
01:11:25,253 --> 01:11:29,573
Speaker 2: fact checked and first off the rank News. I'm really

978
01:11:29,613 --> 01:11:32,693
Speaker 2: hoping that this will be a success, so we will

979
01:11:32,733 --> 01:11:35,933
Speaker 2: have an alternative to the twisted and fake news from

980
01:11:35,973 --> 01:11:38,973
Speaker 2: the legacy media. Nine August is going to be a

981
01:11:38,973 --> 01:11:41,813
Speaker 2: big event. I believe that all the tickets for the

982
01:11:41,853 --> 01:11:45,853
Speaker 2: opening conference have been sold out, so that's encouraging. Thank

983
01:11:45,933 --> 01:11:49,093
Speaker 2: you for the incredible work which you do. Thy kind

984
01:11:49,133 --> 01:11:52,093
Speaker 2: of you, Michael, and I appreciate it. Thank you. And

985
01:11:52,133 --> 01:11:55,013
Speaker 2: here's the rub. I hadn't heard of him. I hadn't

986
01:11:55,053 --> 01:11:57,653
Speaker 2: heard of his TV or any other aspect of it.

987
01:11:57,693 --> 01:12:00,973
Speaker 2: You introduced me to it, so I shall chase it down.

988
01:12:01,653 --> 01:12:05,653
Speaker 2: And as we're going to be in London on not

989
01:12:05,693 --> 01:12:09,293
Speaker 2: on August nine, but on both sides, I mean eight

990
01:12:09,373 --> 01:12:12,693
Speaker 2: and ten, I mean we're coming and going, I just

991
01:12:12,813 --> 01:12:15,373
Speaker 2: might take a chance and see if I can contact

992
01:12:15,373 --> 01:12:16,253
Speaker 2: this guy well.

993
01:12:16,293 --> 01:12:19,533
Speaker 4: Of that leaden Jin says, it's fascinating to see how

994
01:12:19,613 --> 01:12:23,053
Speaker 4: conflict in the Middle East has polarized past allies on

995
01:12:23,093 --> 01:12:26,853
Speaker 4: the center right of the debate Candice Owens versus Ben Shapiro,

996
01:12:27,093 --> 01:12:31,093
Speaker 4: Ted Cruz versus Tucker Carlson, Douglas Murray versus Dave Smith.

997
01:12:31,613 --> 01:12:34,253
Speaker 4: This healthy tension is a good sign that the center

998
01:12:34,333 --> 01:12:38,533
Speaker 4: right is always prepared to think and debate ideas amongst themselves.

999
01:12:39,213 --> 01:12:41,893
Speaker 4: On the other hand, literally all those on the left

1000
01:12:41,973 --> 01:12:46,453
Speaker 4: continue to blindly support Palestinian and Iranian regimes. In a

1001
01:12:46,493 --> 01:12:51,413
Speaker 4: recent podcast, Piers Morgan interviewed doctor Foward Izadi, professor of

1002
01:12:51,453 --> 01:12:54,893
Speaker 4: World politics at Tehran University, who said that he was

1003
01:12:54,933 --> 01:12:57,933
Speaker 4: proud of what hermas did on October the seventh, and

1004
01:12:58,013 --> 01:13:00,253
Speaker 4: yet just a few weeks ago I witnessed a Free

1005
01:13:00,253 --> 01:13:05,413
Speaker 4: Palestine protest march in Henderson supporting this kind of regime thankfully.

1006
01:13:05,413 --> 01:13:10,253
Speaker 4: In your recent podcast, Ramesh the Kur highlighted three MythBusters

1007
01:13:10,293 --> 01:13:13,333
Speaker 4: which brought a level of clarity that cuts through the

1008
01:13:13,413 --> 01:13:17,813
Speaker 4: crap of first world rhetoric and virtue signaling. Firstly, uranium

1009
01:13:17,853 --> 01:13:21,653
Speaker 4: and Richmond passed twenty percent, have passed literally all technical

1010
01:13:21,733 --> 01:13:25,493
Speaker 4: challenges to push it to weapons grade quality. Secondly, a

1011
01:13:25,533 --> 01:13:28,453
Speaker 4: two state solution is a fact denying approach, because you

1012
01:13:28,493 --> 01:13:30,973
Speaker 4: can't possibly live next door to somebody who voils to

1013
01:13:31,053 --> 01:13:34,693
Speaker 4: kill you. Thirdly, the seventh of October massacre is a

1014
01:13:34,733 --> 01:13:39,093
Speaker 4: milli holocaust, the Israeli equivalent of all American casualties suffered

1015
01:13:39,133 --> 01:13:44,293
Speaker 4: in one day. The UN Nuclear watchdog's chief warned that

1016
01:13:44,333 --> 01:13:48,253
Speaker 4: Iran was not far from possessing a nuclear bomb. The

1017
01:13:48,293 --> 01:13:53,253
Speaker 4: Times of David Horovitz reported that Israel had to therefore

1018
01:13:53,413 --> 01:13:56,253
Speaker 4: go to war to save itself. In his article, this

1019
01:13:56,413 --> 01:13:59,053
Speaker 4: was how close it came and how it saved itself,

1020
01:13:59,853 --> 01:14:03,053
Speaker 4: said David Horovitz. It's easy for those of us living

1021
01:14:03,093 --> 01:14:05,693
Speaker 4: in peace to a pine about whether Israel was right

1022
01:14:05,813 --> 01:14:08,093
Speaker 4: or wrong. But wouldn't we do the same if we

1023
01:14:08,133 --> 01:14:10,333
Speaker 4: live next to those who vowed to kill us every

1024
01:14:10,373 --> 01:14:10,933
Speaker 4: single day.

1025
01:14:12,133 --> 01:14:15,533
Speaker 2: It's very sad thinking going on over all of this,

1026
01:14:17,453 --> 01:14:20,733
Speaker 2: and sometimes it gets very vicious. That was a good,

1027
01:14:20,933 --> 01:14:26,573
Speaker 2: good letter. Let me go back to was it last week?

1028
01:14:26,613 --> 01:14:30,893
Speaker 2: I think? And I mentioned something to Allison who had

1029
01:14:31,253 --> 01:14:35,213
Speaker 2: who had written a letter, And I said, Allison, I

1030
01:14:35,933 --> 01:14:38,733
Speaker 2: have yet to consider it, and I'll see about next week. Well,

1031
01:14:38,853 --> 01:14:44,693
Speaker 2: this is next week, and here is your letter, Oh, Laton,

1032
01:14:45,653 --> 01:14:49,973
Speaker 2: What was all that about? George Friedman maintained more than

1033
01:14:49,973 --> 01:14:52,693
Speaker 2: once that the Palace that the president did not have

1034
01:14:52,733 --> 01:14:57,373
Speaker 2: a job. Really, Friedman said that all presidents just see

1035
01:14:57,413 --> 01:15:01,293
Speaker 2: reality and respond to it. How simplistic. And that is

1036
01:15:01,333 --> 01:15:04,653
Speaker 2: true on a basic level, just as it is a

1037
01:15:04,693 --> 01:15:07,773
Speaker 2: couple of toddlers in the paper. That is true on

1038
01:15:07,813 --> 01:15:10,693
Speaker 2: a basic l level, just as it is of a

1039
01:15:10,813 --> 01:15:14,853
Speaker 2: couple of toddlers in the playground. But what failed, but

1040
01:15:14,973 --> 01:15:18,413
Speaker 2: what he failed to point out, was how entirely different

1041
01:15:18,453 --> 01:15:22,173
Speaker 2: the results can be from one president to another. Now

1042
01:15:22,213 --> 01:15:27,973
Speaker 2: remember that part. Take Churchill and Stalin false aside, the

1043
01:15:28,013 --> 01:15:31,213
Speaker 2: outcome for their respective subjects was widely removed from the other.

1044
01:15:31,893 --> 01:15:35,293
Speaker 2: All presidents and prime ministers will not merely see reality

1045
01:15:35,333 --> 01:15:38,453
Speaker 2: and react to it, As Freeman says, they are not

1046
01:15:38,733 --> 01:15:43,493
Speaker 2: pre programmed robots. Whether one is Democrat or Republican. It's

1047
01:15:43,493 --> 01:15:46,253
Speaker 2: hard to imagine Biden, for example, doing any of the

1048
01:15:46,293 --> 01:15:49,173
Speaker 2: things which Trump is doing to meet the present reality

1049
01:15:49,533 --> 01:15:53,013
Speaker 2: at home or abroad. It is not the reality which

1050
01:15:53,053 --> 01:15:56,213
Speaker 2: makes a president do what we see him doing. It

1051
01:15:56,333 --> 01:16:01,133
Speaker 2: is a comprehension of issues at stake which makes him

1052
01:16:01,213 --> 01:16:05,053
Speaker 2: act as he does. Each man has a worldview or

1053
01:16:05,093 --> 01:16:08,293
Speaker 2: an ideology, and depended on what that is, and an

1054
01:16:08,453 --> 01:16:12,693
Speaker 2: entirely different outcome can eventually or eventuate from one leader

1055
01:16:12,773 --> 01:16:17,293
Speaker 2: to another. The Left is often not able to comprehend

1056
01:16:17,333 --> 01:16:20,493
Speaker 2: the actual reality of events and what they will lead to,

1057
01:16:21,013 --> 01:16:24,253
Speaker 2: so their leaders invert the facts, which is why we

1058
01:16:24,293 --> 01:16:27,173
Speaker 2: see some serious effects played out in some of the

1059
01:16:27,333 --> 01:16:31,813
Speaker 2: Democrat states. Plenty of examples. For instance, if a president

1060
01:16:31,893 --> 01:16:35,533
Speaker 2: believes that a man can in fact be a woman,

1061
01:16:36,293 --> 01:16:40,573
Speaker 2: which biology negates, and reality as he sees it, it

1062
01:16:40,613 --> 01:16:44,053
Speaker 2: will be warped and will fail to provide a foundation

1063
01:16:44,213 --> 01:16:47,733
Speaker 2: of truths in the real world, leading to injustices in

1064
01:16:47,853 --> 01:16:51,533
Speaker 2: daily life, which is exactly what we see happening in

1065
01:16:51,573 --> 01:16:54,893
Speaker 2: the Western world. In that case, their response to the

1066
01:16:54,893 --> 01:16:57,573
Speaker 2: reality before them will be different from that of a

1067
01:16:57,613 --> 01:17:02,293
Speaker 2: man of insight and understanding who can see reality as

1068
01:17:02,293 --> 01:17:06,253
Speaker 2: it is for though, for in the final analysis, truth

1069
01:17:06,453 --> 01:17:10,253
Speaker 2: is unbendable and immove and a leader must find the

1070
01:17:10,333 --> 01:17:13,133
Speaker 2: right way to negotiate the difficulties for the good of

1071
01:17:13,133 --> 01:17:16,933
Speaker 2: his people. It will not just happen because he is president,

1072
01:17:17,973 --> 01:17:21,293
Speaker 2: and there were other incongruities in his way of thinking too.

1073
01:17:21,893 --> 01:17:25,773
Speaker 2: This time it was a slightly odd interview to sit out,

1074
01:17:26,133 --> 01:17:29,093
Speaker 2: keep on asking the important questions and thank you again

1075
01:17:29,133 --> 01:17:34,453
Speaker 2: for your podcast. Look, Allison, I could sit here for

1076
01:17:34,453 --> 01:17:36,973
Speaker 2: the next ten minutes and relate to your conversations I've

1077
01:17:36,973 --> 01:17:40,733
Speaker 2: had with George over the years and how we disagree

1078
01:17:40,733 --> 01:17:43,613
Speaker 2: on things and what have you. I said, remember that

1079
01:17:43,893 --> 01:17:47,773
Speaker 2: the bottom of your first paragraph, what he failed to

1080
01:17:47,773 --> 01:17:50,293
Speaker 2: point out was how entirely different the result can be

1081
01:17:50,373 --> 01:17:54,373
Speaker 2: one president to another. I have see he has claimed

1082
01:17:54,413 --> 01:17:59,053
Speaker 2: all along and believes that the president, whoever the president is,

1083
01:17:59,653 --> 01:18:02,933
Speaker 2: doesn't have that much power, and he's right on that.

1084
01:18:03,493 --> 01:18:06,613
Speaker 2: My counter has always been almost along the lines of

1085
01:18:06,693 --> 01:18:11,453
Speaker 2: you of what you've said that it's the influence that

1086
01:18:11,533 --> 01:18:14,413
Speaker 2: a president has that comes from he's in a being,

1087
01:18:14,773 --> 01:18:17,533
Speaker 2: not in the not in the prescription for the job,

1088
01:18:17,813 --> 01:18:23,653
Speaker 2: but in his inner being. But what I'm what I'm

1089
01:18:23,693 --> 01:18:27,693
Speaker 2: actually trying to say is that one it's a matter

1090
01:18:27,733 --> 01:18:31,213
Speaker 2: of persuasion, and some people have the gift of it,

1091
01:18:31,413 --> 01:18:38,573
Speaker 2: like Trump, he is incredible, someone like Biden, someone like

1092
01:18:38,973 --> 01:18:40,973
Speaker 2: the guy before him who was going to be the

1093
01:18:41,013 --> 01:18:43,893
Speaker 2: greatest president in all time when he was when he

1094
01:18:43,933 --> 01:18:47,693
Speaker 2: was elected. Trump is out trumped a lot of them anyway.

1095
01:18:48,213 --> 01:18:52,053
Speaker 4: Leyton Paul says, as an avid follower of geopolitical events,

1096
01:18:52,213 --> 01:18:56,013
Speaker 4: a subscriber to Geopolitical Futures, and a devoted listener of

1097
01:18:56,093 --> 01:18:59,373
Speaker 4: your podcast, I thank you for the last three podcasts

1098
01:18:59,413 --> 01:19:02,093
Speaker 4: which covered off and added to my understanding of the

1099
01:19:02,133 --> 01:19:06,333
Speaker 4: current global turmoil. Every single podcast over the years has

1100
01:19:06,333 --> 01:19:09,453
Speaker 4: been of great interest to me. The last three were

1101
01:19:09,493 --> 01:19:12,733
Speaker 4: of immense interest. I would also like to express my

1102
01:19:12,893 --> 01:19:16,653
Speaker 4: huge admiration for Rameshtha Kur. He has an intense intellect.

1103
01:19:17,533 --> 01:19:20,173
Speaker 4: As usual, George is the best of all time, and

1104
01:19:20,213 --> 01:19:24,013
Speaker 4: Antonia has been helpful in pointing the realities of Europe.

1105
01:19:24,013 --> 01:19:26,493
Speaker 4: For many years, as I have followed her from the

1106
01:19:26,533 --> 01:19:27,413
Speaker 4: days of Stratford.

1107
01:19:27,693 --> 01:19:32,653
Speaker 2: That's from Paul Yea. Antonio covered the Romanian scene specifically,

1108
01:19:32,733 --> 01:19:35,013
Speaker 2: and she was very good. And I've had I've had

1109
01:19:35,053 --> 01:19:37,493
Speaker 2: more people stopping in the street and say how good

1110
01:19:37,533 --> 01:19:41,493
Speaker 2: that was than I had mail on it. This is

1111
01:19:41,533 --> 01:19:44,573
Speaker 2: from the same Paul, but it's dated eleven May, and

1112
01:19:44,653 --> 01:19:46,853
Speaker 2: I came across it during the week and I thought,

1113
01:19:47,133 --> 01:19:51,013
Speaker 2: I don't think I've read that on air. If I have,

1114
01:19:51,653 --> 01:19:56,053
Speaker 2: and you remember, don't tell me. I don't need to know. However,

1115
01:19:56,053 --> 01:19:57,973
Speaker 2: this is what he said high lighton This is one

1116
01:19:57,973 --> 01:20:00,973
Speaker 2: of the most critical speechies of my lifetime. After watching it,

1117
01:20:01,053 --> 01:20:04,093
Speaker 2: I sat and thought hard about where my motivation and

1118
01:20:04,133 --> 01:20:08,013
Speaker 2: passion for monitoring such events originated. For years and years,

1119
01:20:08,093 --> 01:20:11,133
Speaker 2: I've the planes flew into the buildings. I would never repeat,

1120
01:20:11,293 --> 01:20:14,213
Speaker 2: never miss a Layton Smith's talkback show or skip a

1121
01:20:14,293 --> 01:20:19,093
Speaker 2: Layton Smith podcast. The mindset that forms as a result

1122
01:20:19,173 --> 01:20:22,173
Speaker 2: of investing so much time and passion in monitoring your

1123
01:20:22,213 --> 01:20:25,893
Speaker 2: work is chiefly about freedom, and that is where a

1124
01:20:25,893 --> 01:20:29,453
Speaker 2: lot of my motivation came from. I attach a link

1125
01:20:29,613 --> 01:20:34,093
Speaker 2: to Stephen K. Bannon's speech to Hillsdale College thank you

1126
01:20:34,453 --> 01:20:38,053
Speaker 2: and missus producer for pointing out what matters if you

1127
01:20:38,173 --> 01:20:41,813
Speaker 2: have time, Bannon's speech is worth the effort. You guys

1128
01:20:42,013 --> 01:20:45,613
Speaker 2: are the best. Now I want to add to that,

1129
01:20:46,653 --> 01:20:50,013
Speaker 2: because missus producer, why don't you read the last one

1130
01:20:50,013 --> 01:20:53,053
Speaker 2: that you've got, and then I'll go into this little steel.

1131
01:20:53,733 --> 01:20:55,853
Speaker 4: This is from Penny. I know I haven't written for

1132
01:20:55,893 --> 01:20:58,293
Speaker 4: a while, but I've also never missed an episode of

1133
01:20:58,333 --> 01:21:01,533
Speaker 4: your wonderful podcasts, and my eldest son is following you

1134
01:21:01,613 --> 01:21:05,213
Speaker 4: now as well. I was prompted by your podcast featuring

1135
01:21:05,253 --> 01:21:09,773
Speaker 4: Antonia Colabassa and your mention of Charles King's marvelous book

1136
01:21:09,813 --> 01:21:13,133
Speaker 4: on Odessa, which I bought years ago upon your recommendation.

1137
01:21:13,493 --> 01:21:15,893
Speaker 4: I thought she was terrific, and as she spoke of

1138
01:21:15,893 --> 01:21:20,053
Speaker 4: the difficulties facing a country previously mired in corruption and,

1139
01:21:20,133 --> 01:21:23,653
Speaker 4: let's face it, evil, I remembered reading that Romania was

1140
01:21:23,693 --> 01:21:26,773
Speaker 4: solely responsible for the Holocaust in Odessa and was the

1141
01:21:26,853 --> 01:21:30,773
Speaker 4: only country during the Second World War besides Nazi Germany

1142
01:21:31,093 --> 01:21:35,733
Speaker 4: to administer a major Soviet city. Parts of that fabulous

1143
01:21:35,773 --> 01:21:39,053
Speaker 4: book make for a very hard read. Thank you, once again,

1144
01:21:39,133 --> 01:21:43,213
Speaker 4: Laden for continually bringing to our attention such important historical

1145
01:21:43,333 --> 01:21:44,613
Speaker 4: and current matters.

1146
01:21:44,613 --> 01:21:45,373
Speaker 3: And that's from Penny.

1147
01:21:45,533 --> 01:21:49,813
Speaker 2: Penny. I got to say that your letter is something

1148
01:21:49,853 --> 01:21:52,533
Speaker 2: that I treasure. Your style of letter is something that

1149
01:21:52,573 --> 01:21:55,973
Speaker 2: I treasure. Your interest in the same things I treasure.

1150
01:21:56,653 --> 01:21:59,133
Speaker 2: If I may, you may so, I could go on

1151
01:21:59,173 --> 01:22:01,773
Speaker 2: and build a treasure chest. But let me return to

1152
01:22:02,693 --> 01:22:05,773
Speaker 2: Let me return to Paul's letter. One of the most

1153
01:22:05,773 --> 01:22:09,853
Speaker 2: critical speeches of my lifetime. He was talking about Trump.

1154
01:22:09,853 --> 01:22:13,173
Speaker 2: Of course, the comment that you made about Stephen Bannon

1155
01:22:14,693 --> 01:22:19,853
Speaker 2: is intriguing in the light of what's been going down

1156
01:22:20,173 --> 01:22:25,373
Speaker 2: of late. There is great friction between different parts of

1157
01:22:25,533 --> 01:22:31,653
Speaker 2: the different quarters of the Republicans of Marga Maga, marga whatever,

1158
01:22:32,733 --> 01:22:36,533
Speaker 2: and they are at loggerheads, and they're ripping each other apart.

1159
01:22:37,253 --> 01:22:41,493
Speaker 2: Example one, and the only one I'll give is someone

1160
01:22:41,533 --> 01:22:45,213
Speaker 2: I've admired and have learned a hell of a lot from,

1161
01:22:45,213 --> 01:22:49,293
Speaker 2: particularly with regard to the Constitution, Mark Levin. He was

1162
01:22:49,533 --> 01:22:54,133
Speaker 2: shredding Stephen Bannon just last week, along with a bunch

1163
01:22:54,173 --> 01:23:01,573
Speaker 2: of others like Tucker Carlson. And I listened carefully, because

1164
01:23:01,613 --> 01:23:03,813
Speaker 2: he did more than once on more than one day,

1165
01:23:04,253 --> 01:23:08,133
Speaker 2: And I listened carefully, and I analyzed what he was

1166
01:23:08,133 --> 01:23:10,373
Speaker 2: saying and why he was saying it and whether it

1167
01:23:10,453 --> 01:23:12,213
Speaker 2: was true or not. And there was a certain amount

1168
01:23:12,213 --> 01:23:14,933
Speaker 2: of truth in it, but I still thought that he

1169
01:23:16,093 --> 01:23:19,813
Speaker 2: had misdirected his thoughts, which is something he doesn't do.

1170
01:23:20,053 --> 01:23:23,653
Speaker 2: Let me tell you something he doesn't do. But it

1171
01:23:24,333 --> 01:23:27,373
Speaker 2: was an example of the viciousness that exists at the moment.

1172
01:23:29,453 --> 01:23:31,453
Speaker 2: And if you get a chance and you can find

1173
01:23:31,453 --> 01:23:33,853
Speaker 2: it and go back and have a listen, this is producer,

1174
01:23:33,893 --> 01:23:53,213
Speaker 2: Thank you, Thank you later three weeks today, exciting it. Now,

1175
01:23:53,213 --> 01:23:55,973
Speaker 2: if this podcast isn't long enough, I'm about to extend

1176
01:23:56,053 --> 01:23:59,213
Speaker 2: this with a couple of a couple of articles, a

1177
01:23:59,253 --> 01:24:03,333
Speaker 2: couple of pieces that may spook you, and don't be

1178
01:24:03,373 --> 01:24:07,773
Speaker 2: surprised if they do. Picture a dystopian future where computers

1179
01:24:08,013 --> 01:24:12,533
Speaker 2: don't just mimic human thinking, they're powered by actual human

1180
01:24:12,573 --> 01:24:16,053
Speaker 2: brain cells. That future is taking shape in a Cambridge,

1181
01:24:16,053 --> 01:24:20,773
Speaker 2: England lab where a groundbreaking device called cl One is

1182
01:24:21,013 --> 01:24:25,053
Speaker 2: blending biology and technology in ways that could transform how

1183
01:24:25,053 --> 01:24:28,853
Speaker 2: we compute. Developed by austraight and start up Cortical Labs

1184
01:24:29,093 --> 01:24:34,093
Speaker 2: and UK based bit Bio, this shoe boxized machine houses

1185
01:24:34,173 --> 01:24:38,373
Speaker 2: two hundred thousand lab grown brain cells wired to silicon

1186
01:24:38,453 --> 01:24:43,933
Speaker 2: circuits creating a biological computer that's already turning heads. Unlike

1187
01:24:44,053 --> 01:24:48,013
Speaker 2: traditional computers, which guzzle energy, cl One operates with the

1188
01:24:48,013 --> 01:24:52,613
Speaker 2: efficiency of a human brain quote. Our brains process information

1189
01:24:53,253 --> 01:24:56,173
Speaker 2: using a fraction of the power that modern electronics need.

1190
01:24:56,533 --> 01:25:00,733
Speaker 2: According to Hon Wang Chong, CEO of Cortical Labs, and

1191
01:25:01,213 --> 01:25:05,573
Speaker 2: a communication with the Financial Times, this could open doors

1192
01:25:05,653 --> 01:25:11,613
Speaker 2: to smarter robots, stronger cybers security, and immersive virtual worlds.

1193
01:25:12,093 --> 01:25:16,933
Speaker 2: Understand oh Joy. Low energy computing has fueled a race

1194
01:25:16,973 --> 01:25:22,373
Speaker 2: to develop biological systems, with Cortical Labs leading alongside competitors

1195
01:25:22,653 --> 01:25:27,493
Speaker 2: like Final Spark in Switzerland and Biological black Box in

1196
01:25:27,613 --> 01:25:31,773
Speaker 2: the US. Cl One's brain cells, grown from human skin

1197
01:25:31,893 --> 01:25:36,573
Speaker 2: derived stem cells are carefully arranged in layers. One type

1198
01:25:36,653 --> 01:25:41,733
Speaker 2: spark's electrical activity while another keeps it in check quote again,

1199
01:25:42,173 --> 01:25:46,093
Speaker 2: It's like balancing a gas pedal and breaks. Chong explains.

1200
01:25:46,373 --> 01:25:48,973
Speaker 2: The result is a platform for testing how brain cells

1201
01:25:48,973 --> 01:25:54,813
Speaker 2: handle information, with early experiments already yielding insights for neuroscience

1202
01:25:55,013 --> 01:25:56,053
Speaker 2: and drug development.

1203
01:25:56,653 --> 01:25:56,813
Speaker 3: Now.

1204
01:25:56,813 --> 01:26:01,693
Speaker 2: One of cl One's quirkiest feats playing the classic video

1205
01:26:01,773 --> 01:26:07,053
Speaker 2: game Pong. Its predecessor, Dishbrain, learned to move a virtual

1206
01:26:07,213 --> 01:26:13,573
Speaker 2: paddle by receiving electrical rewards for good moves and disruptive

1207
01:26:13,693 --> 01:26:17,093
Speaker 2: noise for mistakes. See all one has taken this further

1208
01:26:17,573 --> 01:26:23,733
Speaker 2: revealing how substances like alcohol impair performance, or how epilepsy

1209
01:26:23,813 --> 01:26:27,733
Speaker 2: drugs like carbo mazophin boost it. We're learning how to

1210
01:26:27,933 --> 01:26:30,933
Speaker 2: program these cells, Chong says, noting that his team is

1211
01:26:30,973 --> 01:26:34,973
Speaker 2: even teaching them to recognize numbers, like distinguishing a nine

1212
01:26:35,013 --> 01:26:38,573
Speaker 2: from before. This is the first device that can consistently

1213
01:26:38,853 --> 01:26:42,933
Speaker 2: measure what neurons can do, says Mark Cotter, a Cambridge

1214
01:26:42,933 --> 01:26:48,413
Speaker 2: professor and bit bio founder. Carl Fristen, a neuroscientist at

1215
01:26:48,773 --> 01:26:53,973
Speaker 2: University Cottage, London, sees it as a tool for groundbreaking experiments,

1216
01:26:54,053 --> 01:26:59,293
Speaker 2: while John Hopkins Thomas Hartung praises its use for games

1217
01:26:59,413 --> 01:27:05,973
Speaker 2: like Pong to benchmark biological computing. Chong recognizes the ethical challenges.

1218
01:27:06,173 --> 01:27:09,893
Speaker 2: I hope so, but it won't make any difference. Chong

1219
01:27:10,053 --> 01:27:14,693
Speaker 2: recognizes the ethical challenges that could emerge if biological computers

1220
01:27:14,693 --> 01:27:20,053
Speaker 2: and neuron cultures begin to show early signs of consciousness.

1221
01:27:20,453 --> 01:27:25,333
Speaker 2: These systems are sentient because they respond to stimuli and

1222
01:27:25,453 --> 01:27:28,773
Speaker 2: learn from them, but they are not conscious. We'll learn

1223
01:27:28,853 --> 01:27:31,893
Speaker 2: more about how the human brain works. But we will not.

1224
01:27:32,333 --> 01:27:34,573
Speaker 2: But we do not intend to create a brain in

1225
01:27:34,613 --> 01:27:39,493
Speaker 2: a vat. The cl one unit are slated to retail

1226
01:27:39,693 --> 01:27:43,293
Speaker 2: for around thirty five thousand dollars each and are expected

1227
01:27:43,333 --> 01:27:46,933
Speaker 2: to be broadly available by late twenty five. Now this

1228
01:27:48,253 --> 01:27:52,773
Speaker 2: shall we say denial if you want of not intending

1229
01:27:52,813 --> 01:27:55,773
Speaker 2: to create a brain in a vat will have a

1230
01:27:55,893 --> 01:28:00,493
Speaker 2: very short lived existence in my humble opinion. And by

1231
01:28:00,533 --> 01:28:03,333
Speaker 2: the way, the title of that was meet the dystopian

1232
01:28:03,453 --> 01:28:08,293
Speaker 2: startups making biological computers from human cells. Now that didn't

1233
01:28:08,333 --> 01:28:14,173
Speaker 2: it affect you in any well concerning way, Maybe this

1234
01:28:14,213 --> 01:28:20,133
Speaker 2: one will. Peter Teal we all know who. Peter Teel is, billionaire,

1235
01:28:20,853 --> 01:28:23,693
Speaker 2: multi billionaire. Wanted to live in New Zealand, remember in

1236
01:28:23,733 --> 01:28:26,213
Speaker 2: the South Island, wanted to do all sorts of things

1237
01:28:26,253 --> 01:28:31,853
Speaker 2: like burying a bomb shelter under sacred soil or something

1238
01:28:31,933 --> 01:28:35,893
Speaker 2: like that. Because he pulled out because he decided that

1239
01:28:35,973 --> 01:28:40,133
Speaker 2: New Zealand was far too difficult to deal with. At

1240
01:28:40,213 --> 01:28:44,293
Speaker 2: least you got something right now, Peter Teel warns in

1241
01:28:44,333 --> 01:28:48,853
Speaker 2: a wide ranging interview on the future and global existential risks.

1242
01:28:49,293 --> 01:28:53,773
Speaker 2: A billionaire technology investor, Peter Teel raised alarms not only

1243
01:28:53,853 --> 01:28:58,653
Speaker 2: about familiar threats like nuclear war, climate change, and artificial intelligence,

1244
01:28:58,693 --> 01:29:03,093
Speaker 2: but also about what he sees as a more insidious danger,

1245
01:29:04,093 --> 01:29:08,253
Speaker 2: the rise of a one world totalitarian state. Speaking to

1246
01:29:08,453 --> 01:29:13,573
Speaker 2: The New York Times, Ross Douhab, Teel argued that the

1247
01:29:14,253 --> 01:29:20,813
Speaker 2: default political response to global crises, centralized supranational governance, could

1248
01:29:20,853 --> 01:29:26,053
Speaker 2: plunge humanity into authoritarianism. Teel, whose co founder of PayPal

1249
01:29:26,133 --> 01:29:31,333
Speaker 2: and Palanteer, shared his worries using examples from dystopian sci

1250
01:29:31,373 --> 01:29:36,693
Speaker 2: fi stories. There's a risk of nuclear war, environmental disaster, bioweapons,

1251
01:29:36,733 --> 01:29:40,693
Speaker 2: and certain types of risks with AI, he explained, to

1252
01:29:41,693 --> 01:29:45,653
Speaker 2: suggesting that the push for global governance as a solution

1253
01:29:45,893 --> 01:29:50,613
Speaker 2: to these threats could culminate in a bad singularity, a

1254
01:29:50,653 --> 01:29:55,573
Speaker 2: one world state that stifles freedom under the guise of safety.

1255
01:29:55,933 --> 01:29:59,573
Speaker 2: Teel critiqued what he described as a reflexive call for

1256
01:29:59,613 --> 01:30:02,933
Speaker 2: centralized control in times of peril. So far, I'm on

1257
01:30:02,933 --> 01:30:06,333
Speaker 2: the same team the defaulty goes on that a fault

1258
01:30:06,373 --> 01:30:11,853
Speaker 2: political solution people have for all these existential risks is

1259
01:30:11,933 --> 01:30:16,293
Speaker 2: one world governance, pointing to proposals for a strengthened United

1260
01:30:16,373 --> 01:30:20,973
Speaker 2: Nations to control nuclear arsenals or global compute governance to

1261
01:30:21,053 --> 01:30:26,933
Speaker 2: regulate AI development, including measures to log every single keystroke

1262
01:30:27,533 --> 01:30:32,493
Speaker 2: to prevent dangerous programming. Such solutions, the investor warned, risk

1263
01:30:32,653 --> 01:30:37,373
Speaker 2: creating a surveillance state that sacrifices individual liberty for security

1264
01:30:37,773 --> 01:30:41,773
Speaker 2: while I'm still riding the same horse. Drawing on historical

1265
01:30:41,813 --> 01:30:46,373
Speaker 2: and philosophical analogies, Tel referenced the nineteen forties Federation of

1266
01:30:46,413 --> 01:30:51,653
Speaker 2: American Scientist film One World or Nune, which argued that

1267
01:30:51,933 --> 01:30:57,493
Speaker 2: only global governance could prevent nuclear annihilation. Teel juxtaposed this

1268
01:30:57,693 --> 01:31:05,093
Speaker 2: with a Christian theological framing Antichrist or armageddon. In both

1269
01:31:05,173 --> 01:31:08,053
Speaker 2: the billionaires said that he sees a binary choice between

1270
01:31:08,093 --> 01:31:13,933
Speaker 2: seisentralized control and catastrophic collapse. Yet Teel questioned the plausibility

1271
01:31:14,053 --> 01:31:20,093
Speaker 2: of a charismatic Antichrist figure seizing power through hypnotic retric

1272
01:31:21,133 --> 01:31:27,493
Speaker 2: as depicted in apocalyptic literature. Instead, he offered a modern twist.

1273
01:31:28,133 --> 01:31:32,093
Speaker 2: The path to global control lies in relentless sphear mongering

1274
01:31:32,213 --> 01:31:37,253
Speaker 2: about existential risks. Quote. The way the Antichrist would take

1275
01:31:37,293 --> 01:31:43,773
Speaker 2: over the world is you talk about armageddon NonStop, Teel explained.

1276
01:31:44,093 --> 01:31:48,533
Speaker 2: The millionaire contrasted this with earlier visions of scientific progress,

1277
01:31:48,573 --> 01:31:53,053
Speaker 2: like those of the seventeenth and eighteenth century Baconian science,

1278
01:31:53,533 --> 01:31:58,653
Speaker 2: where the threat was an evil genius wilding technology. Presently,

1279
01:31:58,813 --> 01:32:03,293
Speaker 2: Teel argued, the greater political resonance lies in halting scientific

1280
01:32:03,333 --> 01:32:07,173
Speaker 2: advancement altogether. In our world, it's far more likely to

1281
01:32:07,213 --> 01:32:12,173
Speaker 2: be Greta Thunberg than Doctor Strangelove, he equipped, invoking the

1282
01:32:12,253 --> 01:32:16,853
Speaker 2: radical Swedish climate activist as a symbol of anti progress sentiment.

1283
01:32:17,573 --> 01:32:22,413
Speaker 2: On AI specifically, Teal struck a balanced note, tempering both

1284
01:32:22,533 --> 01:32:27,253
Speaker 2: utopian and apocalyptic predictions. One question we can frame is

1285
01:32:27,813 --> 01:32:30,213
Speaker 2: just how big a thing do I think AI is,

1286
01:32:31,213 --> 01:32:35,293
Speaker 2: he asked himself. My stupid answer is it's more than

1287
01:32:35,293 --> 01:32:39,493
Speaker 2: a nothing burger. Add its less than the total transformation

1288
01:32:39,573 --> 01:32:43,813
Speaker 2: of our society. Teal. Actually, I'm still on that same

1289
01:32:43,813 --> 01:32:47,493
Speaker 2: horse with him. Teal compared AI's potential impact to the

1290
01:32:47,533 --> 01:32:51,733
Speaker 2: Internet in the late nineteen nineties, suggesting it could create

1291
01:32:52,413 --> 01:32:56,573
Speaker 2: some great companies and add a few percentage points to GDP,

1292
01:32:57,413 --> 01:33:01,253
Speaker 2: perhaps boosting growth by one percent annually for a decade

1293
01:33:01,333 --> 01:33:06,533
Speaker 2: or more. However, the billionaire expressed skepticism that AI alone

1294
01:33:06,933 --> 01:33:11,293
Speaker 2: could end economic state, viewing it as a significant but

1295
01:33:11,373 --> 01:33:18,413
Speaker 2: not revolutionary force. Wild Teal expressed nuanced views on artificial intelligence.

1296
01:33:19,133 --> 01:33:24,973
Speaker 2: His venture capital firm Founder's Fund is aggressively backing the technology. Namely,

1297
01:33:25,053 --> 01:33:29,613
Speaker 2: it recently led a six hundred million dollar investment in Cruiso,

1298
01:33:30,213 --> 01:33:35,773
Speaker 2: a vertically integrated AI infrastructure provider. The biggest risk with

1299
01:33:35,973 --> 01:33:39,573
Speaker 2: AI is that we don't go big enough. Cruso is

1300
01:33:39,613 --> 01:33:44,093
Speaker 2: here to liberate us from the island of limited ambition.

1301
01:33:45,053 --> 01:33:49,533
Speaker 2: Til said at the time, So that wasn't so bad.

1302
01:33:51,253 --> 01:33:54,133
Speaker 2: I managed to stay on that same ride with him

1303
01:33:54,173 --> 01:33:57,813
Speaker 2: all the way through the part that intrigued me the most.

1304
01:33:58,533 --> 01:34:03,213
Speaker 2: Whilst Teal juxtaposed this with a Christian theological framing Antichrist

1305
01:34:03,453 --> 01:34:07,013
Speaker 2: or armaginon in both the Billionaires said he sees a

1306
01:34:07,053 --> 01:34:12,653
Speaker 2: binary choice between crystallized control and the catastrophic collapse. And

1307
01:34:12,693 --> 01:34:16,613
Speaker 2: I repeat yet Teel questioned the plausibility of a charismatic

1308
01:34:16,653 --> 01:34:20,893
Speaker 2: antichrist figure seizing power through hypnotic rhetoric as depicted in

1309
01:34:21,173 --> 01:34:25,093
Speaker 2: apocalyptic literature. Well, he was on the same target that

1310
01:34:25,173 --> 01:34:29,053
Speaker 2: I was when I made the mention of AI being

1311
01:34:29,293 --> 01:34:34,093
Speaker 2: overtaken by some alien force. And what I know is

1312
01:34:34,093 --> 01:34:36,293
Speaker 2: that that now brings us to the end of Podcast

1313
01:34:36,373 --> 01:34:39,773
Speaker 2: number two hundred and ninety one. Now don't forget. If

1314
01:34:39,813 --> 01:34:42,853
Speaker 2: you want to comment on any aspect of the podcast

1315
01:34:43,013 --> 01:34:46,493
Speaker 2: or anything else that's got your wik then Latin at

1316
01:34:46,533 --> 01:34:50,813
Speaker 2: NEWSTALGSB dot co dot nz, Latin at NEWSTALGSB dot coded

1317
01:34:50,853 --> 01:34:54,653
Speaker 2: and Zaid or Carolyn at newstalgzb dot co dot nz.

1318
01:34:55,253 --> 01:34:58,653
Speaker 2: We shall return with podcasts two ninety two very shortly

1319
01:34:59,213 --> 01:35:03,013
Speaker 2: in the meantime. As always, thank you for listening and

1320
01:35:03,253 --> 01:35:04,133
Speaker 2: we shall talk soon.

1321
01:35:11,973 --> 01:35:15,613
Speaker 1: Thank you for more from news Talks at B. Listen

1322
01:35:15,693 --> 01:35:18,653
Speaker 1: live on air or online, and keep our shows with

1323
01:35:18,773 --> 01:35:21,933
Speaker 1: you wherever you go with our podcasts on iHeartRadio