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

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

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

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

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Speaker 1: Smith podcast Coward by news talks it B.

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Speaker 2: Welcome to podcasts two hundred and seventy seven for the

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Speaker 2: twenty sixth of March twenty twenty five. I'm going to

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Speaker 2: reverse the order of two double seven for a moment

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Speaker 2: which reflects the way that it came together. At the

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Speaker 2: back end is something that you shouldn't miss. The climate

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Speaker 2: scam is over. It's a headline, and I'm aiming it

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Speaker 2: directly at the politicians of this country who have misled

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Speaker 2: and continue to mislead on climate through every administration, and

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Speaker 2: they're robbing the country and its taxpayers of billions of dollars.

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Speaker 2: And they do it sometimes unwittingly because they have closed minds.

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Speaker 2: But back to the introduction, A strange mental illness is

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Speaker 2: spreading via infected information networks. Now, that's the heading for

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Speaker 2: the Hatchet Report on March twenty. When I read it,

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Speaker 2: I dropped any other considerations for two double seven and

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Speaker 2: made contact with Guy Hatchett, and so he is today's guest.

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Speaker 2: Media outlets have begun to admit error. These are subheadings

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Speaker 2: how distorted information networks, manipulatus, COVID vaccine messaging was designed

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Speaker 2: to mislead, and where to in the information age? In

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Speaker 2: the modern age, information has been mistaken for knowledge at

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Speaker 2: it's eight necessarily so. And there's some very good correspondents

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Speaker 2: in the mail room this week, and I should say,

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Speaker 2: and this is the right time to do it, that

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Speaker 2: if you'd like to correspond with us latent at newstalksb

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Speaker 2: dot co dot nz or Carolyn at newstalksb dot co

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Speaker 2: dot nz. I've been leaving it till the end of

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Speaker 2: the podcast for quite a while, Will keep saying he

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Speaker 2: should do it at the front. And there we go,

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Speaker 2: Laton Smith. But first, there's something I want to quote you.

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Speaker 2: This comes from the bank cover of a book by

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Speaker 2: Victor Davis Hanson, and I think that you are aware

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Speaker 2: of my respect for Victor Davis Hanson. The book is

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Speaker 2: The Dying Citizen, and Hanson shows once again why he's

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Speaker 2: America's premier scholar, writer, and political observer, Drawing on his

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Speaker 2: training as a classicist and clearly informed by his deep

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Speaker 2: personal experience living and farming in California, San Joaquin Valley.

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Speaker 2: Hanson has written a tour de force on the history, rights,

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Speaker 2: and responsibilities of modern citizenship and the galaxy of forces

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Speaker 2: that are undermining the concept of citizenship today. Now he

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Speaker 2: concentrates the course on American citizenship and probably any Anglo

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Speaker 2: speaking country in the world. And this is what he

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Speaker 2: said in a column on March twenty of this year.

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Speaker 2: The left knowingly pushed falsehoods on COVID, Biden's fitness, laptop,

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Speaker 2: and the border dividing the nation while facing no accountability. Now,

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Speaker 2: I'm going to restrict this pretty much to the first

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Speaker 2: mention COVID, because that is the subject of much discussion today.

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Speaker 2: For years, the left has advanced utter untruths for cheap

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Speaker 2: partisan purposes that it knew at the time were all false,

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Speaker 2: and now, when caught, they just shrug and say they

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Speaker 2: were lying all along. Once it was known that the

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Speaker 2: first COVID nineteen case originated in or near a Chinese

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Speaker 2: commonist virology lab engineering gain in function deadly viruses with

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Speaker 2: help from Western agencies, the left went into full persecution mode.

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Speaker 2: They damned as incompetent, racist, and conspiratorial any who dared

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Speaker 2: follow logic and evidence to point out that the Chinese

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Speaker 2: government and its military were both culpable for the virus

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Speaker 2: and lying. A million Americans died of COVID, millions more

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Speaker 2: suffered long term. Still, the left wing media and the

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Speaker 2: Biden administration demonized anyone who dared speak to the truth

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Speaker 2: about a lab origin of the deadly virus. The lies

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Speaker 2: were designed to protect the guilty who had helped fund

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Speaker 2: the virus's origins, such as doctors Anthony Fauci and Francis Collins.

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Speaker 2: The Biden administration also tried to use the lab theory

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Speaker 2: to ridicule a supposedly pro Trump conspiracy. Western corporate interests

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Speaker 2: deeply invested in China did not want their partner held

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Speaker 2: responsible for veritably killing and maiming hundreds of millions worldwide.

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Speaker 2: Almost as soon as Joe Biden was inaugurated, the left

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Speaker 2: knew that he was physically and mentally unable to serve

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Speaker 2: as president. Indeed that was the point. And then further on,

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Speaker 2: he makes sir comment on Hunter Biden's laptop, refers to

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Speaker 2: the debate between Biden and Trump and says a lying

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Speaker 2: media damned Trump as a puppet of Vladimir Putin. Joe

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Speaker 2: Biden little more than a week later won the twenty

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Speaker 2: twenty election. Biden administration deliberately destroyed the southern border and

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Speaker 2: welcomed twelve million illegal aliens, and that it lied that

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Speaker 2: Biden had no power to stop the influx. And he

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Speaker 2: concludes with this summary, all of these lies have divided

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Speaker 2: the country and permanently damage the US. The perpetrators have

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Speaker 2: neither apologized for their lies, nor tried to either deny

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Speaker 2: nor substantiate them. No one involved has ever been held

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Speaker 2: legally accountable. The legacy media permanently ruined its reputation and

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Speaker 2: will likely never be seen as credible again. And the

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Speaker 2: Biden administration, overseer of these many lies, will be regarded

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Speaker 2: as the most duplicitous and dishonest presidency in modern history. Now,

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Speaker 2: how can you disagree with that? How can you argue

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Speaker 2: with that? You can't? Nah, After a short break, we'll

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Speaker 2: talk with Guy. Hatchan is an antihistamine made in Switzerland

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Speaker 2: to the highest quality. Leverix relieves hay fever and skin

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Speaker 2: allergies or itchy skin. It's a dual action antihistamine and

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Speaker 2: has a unique nasal decongestent action. It's fast acting for

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Speaker 2: fast relief and it works in under an hour and

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Speaker 2: lasts for over twenty four hours. Leverrix is a tiny

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Speaker 2: tablet that unblocks the nose, deals with itchy eyes, and

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Speaker 2: stops sneezing. Leverx is an antihistamine made in Switzerland to

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Speaker 2: the highest quantity. So next time you're in need of

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Speaker 2: an effective antihistamine, call into the pharmacy and ask for

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Speaker 2: Leverx lv Rix, Levrix and always read the label. Takes

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Speaker 2: directed and if symptoms persist, see your health professional. Farmer

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Speaker 2: Broker Auckland Latam Smith. Guy Hatchard, PhD is a former

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Speaker 2: senior manager at genetic Id, which is a global food

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Speaker 2: testing and certification company. He's lived in New Zealand for

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Speaker 2: a good number of years now. He has been on

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Speaker 2: the podcast on more than one occasion in the past,

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Speaker 2: and while he's subject to much criticism from weld quarters

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Speaker 2: that want to criticize him because they don't like what

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Speaker 2: he says, I have found after being skeptical. I said

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Speaker 2: this before, after being skeptical at the beginning, when people

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Speaker 2: were encouraging me to interview Guy Hatchet. I've discovered that

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Speaker 2: there is a certain reliability to his commentary. So Guy,

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Speaker 2: it's good to have you back on the.

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Speaker 3: Great Beyond Layton. Good to talk.

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Speaker 2: The cause of my making contact with you on this

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Speaker 2: occasion was what you released on the twentieth of March,

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Speaker 2: A strange mental illness is spreading of via infected information networks.

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Speaker 2: But before we get onto that, I just want to

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Speaker 2: cover off something else, because we'll not cover it off,

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Speaker 2: but I want to make mention of something else. You

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Speaker 2: earlier in January wrote something that was headed waking up

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Speaker 2: from the dream of biotechnology. Now you've been opposed to

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Speaker 2: this genetic experimentation that this country looks like it might

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Speaker 2: very well head for, and your experience at genetic Id,

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Speaker 2: the company, my guess is, stands you in very good

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Speaker 2: stead for being a participant knowledgeably in the biotech debate.

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Speaker 3: Absolutely. I mean I worked in a company that we

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Speaker 3: dealt with the world's biggest food ingredient suppliers, people like

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Speaker 3: ADM and Cargo, and we had to certify their food

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Speaker 3: free of genetic engineering in order that they could access

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Speaker 3: export markets. And as a result of my position there

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Speaker 3: and my background in science. Of course, I came across

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Speaker 3: and had a lifelong contact with people working in biotech

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Speaker 3: research and gene therapy and so on, so at an

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Speaker 3: inside view of the impact of genetic engineering on economic

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Speaker 3: systems and on food systems, and that dovetails very well

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Speaker 3: with what we're facing today, which is the government planning

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Speaker 3: to deregulate biotechnology, which to my mind is extraordinary after

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Speaker 3: what we've just been through for five years of the pandemic.

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Speaker 2: We'll get onto that, but let's go back and begin

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Speaker 2: with the cause of the conversation. One of the first

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Speaker 2: to suggest that COVID was created in a lemb biologists,

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Speaker 2: Elena Chan, faced death threats and was branded a race traitor.

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Speaker 2: Now she tells Ian Burrell there was a real conspiracy

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Speaker 2: among very powerful scientists. The cover up was morally repugnant.

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Speaker 2: End quote. The story is unfolded at length and well

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Speaker 2: worth the time spent reading it. This article that we're

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Speaker 2: quoting from discusses how this could have could have happened

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Speaker 2: and why similar tropes are continuing to influence public opinion

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Speaker 2: to this day. Just back up for me and fill

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Speaker 2: us in a bit more on Alena Chan. If you would.

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Speaker 3: Alena Chan is a scientist working in biotech, and of

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Speaker 3: course biotech is a huge enterprise in employing millions of

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Speaker 3: people these days around the world. And she looked very

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Speaker 3: early on at the structure of the COVID virus and realized,

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Speaker 3: as many people did around the world, that this obviously

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Speaker 3: came from a and she thought, this question has to

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Speaker 3: be asked now. That's all she did. She asked the

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Speaker 3: question is she said, when we're looking at the origin

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Speaker 3: of COVID, we need to also consider the possibility that

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Speaker 3: it came from a lab, and that was sufficient to

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Speaker 3: cancel her. It ultimately led to the loss of her

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Speaker 3: job because she was treading on very powerful toll toes.

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Speaker 3: People who had been involved in the experimentation at Wuhan

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Speaker 3: Virology Lab wanted to ensure that no such questions were asked,

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Speaker 3: so they said about shutting her up and shutting many

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Speaker 3: people up. I talked to people in gene therapy very

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Speaker 3: early on, and they said, categorically, this came from a lab,

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Speaker 3: but please don't mention my name because I'll lose my job.

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Speaker 3: This was an area that was absolutely suppressed and it

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Speaker 3: was a conspiracy. It was a genuine conspiracy. And we

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Speaker 3: know it's a conspiracy because now, as a result of

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Speaker 3: hearings in the Senate in the US, the actual texts

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Speaker 3: of emails that the people involved in trying to shut

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Speaker 3: up these questions have come out, and they themselves knew

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Speaker 3: and believed it came from a lab. And yet they

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Speaker 3: said about shutting it up because they were protecting their turf.

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Speaker 3: They were protecting themselves from blame. They were protecting biotechnology

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Speaker 3: in general from criticism.

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Speaker 2: At what level were these people with whom you spoke.

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Speaker 3: Well, they were people who were involved in gene therapy

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Speaker 3: at some of the most prestigious institutions in the world,

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Speaker 3: leading institution. These were leading scientists, and they were being

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Speaker 3: shut up. These were not people on them on the edges.

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Speaker 3: I mean, for example, Richard Richard H. E. Bright, who

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Speaker 3: is a world renowned microbiologist and an expert on biotechnology safety.

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Speaker 3: I mean, he was speaking up from the beginning and

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Speaker 3: asking questions. He was warning journalists, but again his voice

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Speaker 3: was drowned out. And how and the story of how

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Speaker 3: how they succeeded in drowning out this conversation is the

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Speaker 3: very interesting topic of the article. We're going to be discussing.

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Speaker 2: What about the level of people who were who were well,

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Speaker 2: who were telling the lies.

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Speaker 3: How high you couldn't go much bigger than that.

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Speaker 2: That's true, but earlier, but earlier on, before it became

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Speaker 2: obvious that he was he was part of it, and

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Speaker 2: he was he was fibbing.

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Speaker 3: Yeah, there were right, there were people who are fronting it.

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Speaker 3: There were scientists who were fronting it, who were publishing

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Speaker 3: papers in Nature, in the Lancet, and they were concocted.

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Speaker 3: They were deliberately concocted. And again their emails show this.

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Speaker 3: These papers were deliberately concocted to suggest that it was

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Speaker 3: only a snotic origin, the origin from animals that could

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Speaker 3: be considered. And they've since been picked apart mathematically and genetically,

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Speaker 3: and that's published now and in the public record, and

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Speaker 3: they were deliberately misleading and those paper. Interestingly, those papers

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Speaker 3: have not been withdrawn. They're still in you know, you

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Speaker 3: can still access them on the web, even though they're

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Speaker 3: completely discredited. Because the people clubbed together to protect by

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Speaker 3: technology presented themselves as trusted sources. And this is how

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Speaker 3: they worked. They had names, people like Faucci and so

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Speaker 3: on had names, and they were recognized as trusted sources,

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Speaker 3: and they used that to leverage public opinion using well

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Speaker 3: known principles of network science.

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Speaker 2: Do you know if any of those people who have

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Speaker 2: paid the price that they should pay.

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Speaker 3: You know, obviously they haven't. I mean, Faucchi as to

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Speaker 3: a certain extent, has been discredited. Peter Daizac, who was

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Speaker 3: the one basically organizing the research in Wuhan, He's British.

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Speaker 3: He is now banned from receiving any more grants from NIH.

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Speaker 3: These are very mild kind of punishments. They are kind

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Speaker 3: of you know, slat with a wet flannel over your

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Speaker 3: smallest finger, and you know, we're dealing here with a

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Speaker 3: pandem that in which millions of people have died. And

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Speaker 3: yet the punishments so to speaker, oh, well that was

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Speaker 3: you know, will be sort of a little bit careful

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Speaker 3: about this person in future.

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Speaker 2: All right, So that's that person, But there are lots

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Speaker 2: of other persons who will not be affected by it

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Speaker 2: and undoubtedly will continue on the same or a similar path.

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Speaker 3: Well, there is a huge industry biotechnology. It's an absolutely

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Speaker 3: huge industry, and you know it's one built on imagination

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Speaker 3: and dreams that we've seventy years now, more than seventy

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Speaker 3: years since the structure, the hellicore structure of DNA was discovered,

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Speaker 3: and we've been promised miracle cures but they haven't materialized.

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Speaker 3: But still we're being asked for more grant money, more funding,

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Speaker 3: less regulation, let us do whatever we want to do.

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Speaker 3: But it's not paradigm that's producing results. It looks far

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Speaker 3: more like a lottery. You know, In a lottery, millions

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Speaker 3: of people every week are doomed to disappointment, but there's

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Speaker 3: one group who profit every week. That's the organizers of

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Speaker 3: the lottery. And what we're seeing is that biotech is

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Speaker 3: promising every week, but I don't really see any useful

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Speaker 3: results coming out. As far as public health or agriculture

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Speaker 3: are concerned. It's time we drop these people.

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Speaker 2: Okay. Now, media outlets have begun to admit error. I

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Speaker 2: know that The New York Times, for instance, has well

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Speaker 2: not fessed up, but alluded to the fact that, in

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Speaker 2: other words, they've spread the responsibility, alluded to the fact

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Speaker 2: that they were misled, where in fact they weren't just misled,

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Speaker 2: they were part of it.

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Speaker 3: Absolutely. Yeah. They published an article just a couple of

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Speaker 3: days ago we were badly misled about the event that

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Speaker 3: changed our lives. And it reported that seventy seven Nobel

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Speaker 3: it's in thirty one Science.

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Speaker 2: Sorry, seventy seven Nobel laureates.

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Speaker 3: Seventy seven Nobel laureates and thirty one scientific societies were

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Speaker 3: involved in the cover up, and that included deliberately planning

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Speaker 3: to mislead journalists about the origin of COVID. And that's

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Speaker 3: you know, that's the New York Times, and the New

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Speaker 3: York Times is a paper that has consistently been very

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Speaker 3: pro government policy. So this is a big turnaround for them.

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Speaker 3: And nevertheless, they were well informed right from the beginning.

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Speaker 3: That was a big problem. They were told that the

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Speaker 3: research at wu HAN was like look looking for a

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Speaker 3: gas leak with a lighted match, and they and they

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Speaker 3: ignored it, and that all this is is very well documented,

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Speaker 3: but extraordinarily it hasn't really reached New Zealand why, I

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Speaker 3: don't know. Our papers just seem to be just not

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Speaker 3: prepared to admit that they made mistakes in the coverage

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Speaker 3: of COVID.

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Speaker 2: And of their much of their information, much of their

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Speaker 2: journalism comes from American media, especially The New York Times,

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Speaker 2: Washington Post and some other places, and they rolled with

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Speaker 2: them and having found that they were misled themselves, if

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Speaker 2: you'd like to be generous, they don't want to make

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Speaker 2: reference to it because it just draws attention.

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Speaker 3: Yeah, absolutely, it undermines their standing. Of course, they are

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Speaker 3: standing has been undermined because a lot of what they

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Speaker 3: predicted at the outset of the pandemic is so obviously

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Speaker 3: not true. But it's kind of frightening that we're still

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Speaker 3: in the dark here whereas overseas. I mean, for example,

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Speaker 3: just yesterday there was an article in which Boris Johnson

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Speaker 3: was writing a former British Prime minister, and he was

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Speaker 3: saying that he now accepts the lab leak origin of COVID,

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Speaker 3: and his conclusion is we need to go after the

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Speaker 3: Chinese government and hold them to account. Well, of course

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Speaker 3: the research occurred in China, but it was funded by

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Speaker 3: the US. And he's he himself, this is one of

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Speaker 3: the revelations that has come out. Was informed when he

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Speaker 3: was Prime Minister by the head of mi I six,

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Speaker 3: Richard Dierlove, that COVID came from a lab with one

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Speaker 3: hundred percent certainty. This was the conclusion of the British

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Speaker 3: Secret Service in twenty twenty, and Boris Johnson himself buried

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Speaker 3: the report. He now wants to deflect intelligence, you know,

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Speaker 3: attention by saying, oh, we should go after China. Well,

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Speaker 3: China wasn't at fought here. It was a biotech community

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Speaker 3: which is working really outside any sort of safety factors

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Speaker 3: which are reasonable, and who have you know, started this

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Speaker 3: whole program of gain of function research, making viruses more

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Speaker 3: deadly and seeing what happened and seeing if they could

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Speaker 3: stop them. That was beyond any reasonable assessment of acceptable risk.

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Speaker 3: And that they're the area. That's the area that has

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Speaker 3: to be held account not China, not not even America

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Speaker 3: per se. It was a community that had started to

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Speaker 3: do things and it hasn't stopped. That was the other

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Speaker 3: thing that the New York Times article warned against. The

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Speaker 3: Research of that character is still going on at Wuhan

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Speaker 3: Virology Institute, still using a low lab safety protocol. That

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Speaker 3: has to be stopped. It's risky and how do how

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Speaker 3: does it get stopped?

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Speaker 4: There has to be an open conversation that starts where goodness,

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Speaker 4: how does one to stop it?

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Speaker 3: There has to be global legislation outlawing biotechnology experimentation. There

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Speaker 3: has to be some kind of international agreement, and there

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Speaker 3: has to be a knowledge revolution when it comes to biotechnology,

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Speaker 3: because biotechnology has has these misleading public ideas that are

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Speaker 3: promoted to make it all sound very safe and interesting

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Speaker 3: and wonderful and miraculous. We have humans have about twenty

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Speaker 3: thousand genes, but these genes have trillions of functions, trillions

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Speaker 3: of functions. And the idea that one gene is responsible

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Speaker 3: for one thing, and if you change that gene, then

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Speaker 3: you're going to improve that one thing. It's just simply

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Speaker 3: completely and utterly pause. It's a myth. If you change

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Speaker 3: one gene, you're going to change thousands of other functions.

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Speaker 2: So, in other words, one gene in your system gets

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Speaker 2: affected and engined dead in the water. Well. Is that

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Speaker 2: an exaggeration.

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Speaker 3: It's a question of the paradigm. Is that you got

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Speaker 3: a lot of leeway to it. This is the biotech paradigm.

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Speaker 3: You've got a lot of leeway to experiment when it

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Speaker 3: comes to genetic systems, and this arises out of a

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Speaker 3: misunderstanding of Darwinian ideas about evolution, and actually genetic systems

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Speaker 3: have evolved over millions of years and it's an extended,

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Speaker 3: integrated ecosystem, which is very, very specific. That has evolved

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Speaker 3: is this interdependency, and this system is delicate. The mistake

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Speaker 3: is thinking that genes or genetic ethics that are created

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Speaker 3: in a laboratory will somehow not upset the fundamentals of

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Speaker 3: this system. And what the pandemic teaches us is now,

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Speaker 3: especially we know the origin of COVID, that genetic engineering

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Speaker 3: does upset the fundamentals of the system. And that's a

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Speaker 3: crucial understanding that has to get through that. What has

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Speaker 3: happened is we've created a monster. We've trained millions of

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Speaker 3: people in biotechnology, and ideas are taught in school that

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Speaker 3: somehow it's wonderful and safe and it's going to make

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Speaker 3: us live longer, grow taller, become more intelligent, and be

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Speaker 3: healthy and happy. And that's simply a myth and there's

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Speaker 3: no evidence to support that that's going to happen.

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Speaker 2: So you've written extraordinarily some of the scientists involved in

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Speaker 2: the cover up still making key decisions that affect us all.

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Speaker 2: First question, first question of that, are they New Zealand

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Speaker 2: scientists to fall into that category?

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Speaker 3: Absolutely. The whole the whole push by industry to deregulate

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Speaker 3: biotechnology is this is where the technology built currently before

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Speaker 3: Parliament has come from. Is that the scientists are saying,

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Speaker 3: we want the freedom to experiment. And this has been

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Speaker 3: the whole history of biotechnology around the world, that the

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Speaker 3: push not to be regulated. Biotechnologists do not want to

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Speaker 3: be regulated. They want to be free to experiment, and

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Speaker 3: we shouldn't let them be free to experiment because of

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Speaker 3: the experience of the last five years, things can go

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Speaker 3: terribly wrong and there will be and there are rogue

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Speaker 3: people in the biotechnology system who are doing secretly doing things.

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Speaker 3: This again is the lesson of the pandemic. People are

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Speaker 3: secretly trying out some wild ideas.

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Speaker 2: So Jeremy Farah, now this is stunning. The sims Jeremy

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Speaker 2: Farah now Chief Scientists at the World Health Organization instructed

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Speaker 2: the authors of a paper that was subsequently published by

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Speaker 2: Nature they should specifically rule out a lab origin. So

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Speaker 2: Jeremy Farah.

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Speaker 3: Now chief Scientists at All.

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Speaker 2: I'm just stunned by it. Then Lord Valence, now the

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Speaker 2: UK government's Science Minister, quashed the conclusion of MI sixter

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Speaker 2: Chief Sir Richard Dilov that a Lablik origin was one

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Speaker 2: hundred percent certain. So you have people in Britain who

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Speaker 2: are at the top of the political game, who have

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Speaker 2: interfered with things that they know nothing about and lied

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Speaker 2: and cheated, and they're still in those positions or similar ones.

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Speaker 2: Why how does that happen.

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Speaker 3: People made a lot of money during the pandemic, and

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Speaker 3: people today love people who made lots of money. And

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Speaker 3: the people who made lots of money during the pandemic

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Speaker 3: were quite varied. The course of the pharmaceutical companies made

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Speaker 3: a lot of money, and then there were people providing

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Speaker 3: services government pandemic services and masks and policies and consultants

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Speaker 3: and so on. And this is an industry that absolutely

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Speaker 3: thrives on money. And governments are kind of you know

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Speaker 3: they have today they have sort of enormous respect for

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Speaker 3: people who made money, however they made it, and so

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Speaker 3: in Britain and in the US and in many other countries,

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Speaker 3: there is a view that biotechnology is a panacea and

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Speaker 3: it's a you know, it's something that's going to go

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Speaker 3: on giving financially. But just remember that all of these

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Speaker 3: people made money during the pandemic because gave them contracts

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Speaker 3: that we paid for it. We impoverished New Zealand the

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Speaker 3: UK was impoverished as a result of the transfer of

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Speaker 3: funds into the biotechnology industry, into a transfer of funds

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Speaker 3: into the very people who we now know caused the

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Speaker 3: problem in the first place. That's brightening and the fact

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Speaker 3: that that hasn't been recognized, and the fact that people

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Speaker 3: are still clinging to faith in this paradigm, this biotech paradigm,

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Speaker 3: is absolutely frightening.

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Speaker 2: And what are called Doctor Leanna Winn, who admits some

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Speaker 2: COVID conspiracy theories were actually true. From early on in

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Speaker 2: the pandemic, Win took a hash stance on vaccine descent

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Speaker 2: during her regular appearances on c as a medical analyst,

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Speaker 2: her opinion pieces for The Washington Post, and her time

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Speaker 2: as a guest contributor for NPR, National Public Radio, PBS, BBC,

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Speaker 2: and probably the worst offender of them all on a

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Speaker 2: consistent basis MSNBC where they're all insane, where she called

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Speaker 2: for severe restrictions on the unvaccinated, She now admits that

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Speaker 2: COVID vaccine will repeat it. She now admits that COVID vaccines,

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Speaker 2: among other things, caused menstrual difficulties and says COVID dissenters

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Speaker 2: should have been able to ask questions and that she

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Speaker 2: would have answered them a faux apology with a hollow ring.

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Speaker 2: No doubt she misses those heady days when she shone

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Speaker 2: in the international media limelight. If I may, for as

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Speaker 2: long as I can recall now, I've been damning CNN,

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Speaker 2: MSNBC and some of the other the New York Times

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Speaker 2: because of their misleading. And I use the word journalism loosely,

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Speaker 2: and people say, oh, no, no, no, they wouldn't do that,

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Speaker 2: They wouldn't do that. But the history shows, history shows,

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Speaker 2: starting with the New York Times and going back to

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Speaker 2: the First World War and on from there, capable of

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Speaker 2: great dishonesty.

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Speaker 3: You say, absolutely, we have to be very careful. That's

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Speaker 3: another lesson that these these were people trusted sources of information,

429
00:31:48,173 --> 00:31:56,813
Speaker 3: and it's that misled people. And apparently they want now

430
00:31:56,813 --> 00:32:01,893
Speaker 3: to say, oh, I'm sorry, I was wrong, Please let

431
00:32:01,893 --> 00:32:05,773
Speaker 3: me be a trusted source again. We shouldn't let them

432
00:32:05,813 --> 00:32:09,413
Speaker 3: be a trusted source again. We should now learn the

433
00:32:09,533 --> 00:32:16,053
Speaker 3: lesson that we need to have broader information sources, and

434
00:32:16,173 --> 00:32:19,893
Speaker 3: that is a function of modern living, is that the

435
00:32:20,093 --> 00:32:26,053
Speaker 3: number of information sources in the world has reduced the

436
00:32:26,213 --> 00:32:30,933
Speaker 3: means of spreading them has increased, so in a sense,

437
00:32:31,053 --> 00:32:39,133
Speaker 3: we became victim of our own, our own reliance on

438
00:32:39,253 --> 00:32:44,653
Speaker 3: a small number of sources, and that influenced public opinion.

439
00:32:44,813 --> 00:32:49,173
Speaker 3: And it was deliberate, It was deliberately manipulated. If you

440
00:32:49,253 --> 00:32:55,053
Speaker 3: have a situation where there are hundreds millions of people

441
00:32:55,893 --> 00:33:00,613
Speaker 3: relying on a small number of sources, and those sources

442
00:33:00,693 --> 00:33:03,893
Speaker 3: are not very careful about how they get their information,

443
00:33:04,533 --> 00:33:08,053
Speaker 3: then a small number of scientists, a very very small

444
00:33:08,093 --> 00:33:13,293
Speaker 3: nomber of scientists, can actually influence those trusted sources, and

445
00:33:13,333 --> 00:33:19,453
Speaker 3: the trusted sources then influence public opinion, and then everybody

446
00:33:19,493 --> 00:33:23,333
Speaker 3: starts talking to one another and they're all saying, oh, well,

447
00:33:23,373 --> 00:33:25,893
Speaker 3: I read it there, I read it there. It only

448
00:33:25,973 --> 00:33:29,373
Speaker 3: comes from one source, but it's reinforcing itself. This is

449
00:33:29,413 --> 00:33:33,613
Speaker 3: how networks, closed networks work. When you have a closed

450
00:33:33,653 --> 00:33:40,213
Speaker 3: controlled network, you can influence public opinion. And people these

451
00:33:40,333 --> 00:33:43,973
Speaker 3: days who want to influence public opinion realize how this works,

452
00:33:44,013 --> 00:33:47,133
Speaker 3: and they manipulated. And it happened here in New Zealand.

453
00:33:47,173 --> 00:33:52,133
Speaker 3: Big time. People just simply didn't you know. Two contrary

454
00:33:52,173 --> 00:33:59,213
Speaker 3: opinions were not just absent, they were severely canceled restricted,

455
00:34:00,733 --> 00:34:04,173
Speaker 3: so that we didn't get an open public debate. We

456
00:34:04,213 --> 00:34:06,333
Speaker 3: still haven't had an open public.

457
00:34:06,093 --> 00:34:09,173
Speaker 2: And as we know, this is one of a number

458
00:34:09,173 --> 00:34:14,773
Speaker 2: of issues, but probably the biggest that has divided friendships, families, businesses,

459
00:34:14,853 --> 00:34:18,293
Speaker 2: all sorts of all sorts of damage has been wrought

460
00:34:18,413 --> 00:34:22,253
Speaker 2: on society. And I think it's still the same. It

461
00:34:23,093 --> 00:34:25,133
Speaker 2: might have lessened, it might have backed off a little bit,

462
00:34:25,173 --> 00:34:26,173
Speaker 2: but it still exists.

463
00:34:27,133 --> 00:34:30,493
Speaker 3: We have to This is the great news today. Really,

464
00:34:30,613 --> 00:34:34,013
Speaker 3: the freeing news is that the whole debate was framed us.

465
00:34:35,453 --> 00:34:37,813
Speaker 3: Is this disaster due to covid or is it due

466
00:34:37,853 --> 00:34:40,373
Speaker 3: to COVID vaccines? Well, it doesn't matter. They both came

467
00:34:40,413 --> 00:34:43,813
Speaker 3: from a biotech lab. It's time we started asking questions

468
00:34:43,853 --> 00:34:48,613
Speaker 3: about biotech labs. That's that's the lesson for New Zealand.

469
00:34:49,253 --> 00:34:53,653
Speaker 3: It doesn't matter whether which one you think, whether it's

470
00:34:53,773 --> 00:34:57,453
Speaker 3: COVID or COVID vaccines, they both came out of the lab.

471
00:34:57,893 --> 00:35:02,173
Speaker 3: They both invade cells, they both ort to genetic functions,

472
00:35:02,213 --> 00:35:07,853
Speaker 3: they were both man made through biotechnology experimentation. It's about

473
00:35:07,933 --> 00:35:11,733
Speaker 3: time we ask some very serious questions about biotech safety.

474
00:35:12,773 --> 00:35:18,293
Speaker 3: And we don't have to rely on people on scientists

475
00:35:18,333 --> 00:35:23,173
Speaker 3: who have vested interests in getting grants and government support

476
00:35:23,333 --> 00:35:26,373
Speaker 3: to do whatever they want to do, because their advice

477
00:35:26,493 --> 00:35:31,093
Speaker 3: is clearly biased. And now we see that the minute

478
00:35:31,173 --> 00:35:37,333
Speaker 3: this pandemic took place, senior scientists move to protect their

479
00:35:37,373 --> 00:35:41,093
Speaker 3: interest by distorting the public dialogue. It's criminal.

480
00:35:41,853 --> 00:35:44,973
Speaker 2: There's one thing I want to ask you. Donald Trump

481
00:35:45,013 --> 00:35:51,053
Speaker 2: has withdrawn from the World Health Organization, and that's being

482
00:35:51,093 --> 00:35:55,853
Speaker 2: met with varied reaction. But there are plenty of people

483
00:35:55,973 --> 00:35:59,333
Speaker 2: who plenty of people who believes that he's done the

484
00:35:59,413 --> 00:36:03,133
Speaker 2: right thing. My question is, because I think other countries

485
00:36:03,173 --> 00:36:04,973
Speaker 2: will do it also, should we join them?

486
00:36:05,293 --> 00:36:10,653
Speaker 3: Absolutely? World Health Organization is in the global unaccountable space.

487
00:36:11,933 --> 00:36:15,853
Speaker 3: It's not accountable to anyone, it's not accountable to any electorate.

488
00:36:16,213 --> 00:36:18,893
Speaker 3: I mean, this is the If you look at the pandemic,

489
00:36:19,133 --> 00:36:26,733
Speaker 3: you see multinational companies. You see organizations like World Health

490
00:36:26,813 --> 00:36:30,973
Speaker 3: Organization and IGMA, for example, the International Coalition of Medicine's

491
00:36:31,013 --> 00:36:35,493
Speaker 3: regulatory authorities, which operate in the global space pre of

492
00:36:35,573 --> 00:36:39,773
Speaker 3: any regulation and are in the case of WHO and

493
00:36:39,893 --> 00:36:44,413
Speaker 3: IGMA are largely funded by the pharmaceutical industry and they

494
00:36:44,453 --> 00:36:48,813
Speaker 3: serve the purposes of the pharmaceutical industry. And I think

495
00:36:48,893 --> 00:36:51,053
Speaker 3: in this case, you know, whatever you think of Donald

496
00:36:51,053 --> 00:36:54,293
Speaker 3: Trump and all the things that he has done and

497
00:36:54,373 --> 00:36:59,133
Speaker 3: hasn't done, leaving the World Health Organization as far as

498
00:36:59,973 --> 00:37:03,893
Speaker 3: a funder goes with a sensible kind of response to

499
00:37:03,933 --> 00:37:07,253
Speaker 3: what went on during the pandemic, we weren't well served

500
00:37:07,293 --> 00:37:12,533
Speaker 3: by them. And to suggest, as our government appears ready

501
00:37:12,573 --> 00:37:16,333
Speaker 3: to do, that we should give up our sovereignty in

502
00:37:16,413 --> 00:37:20,333
Speaker 3: the event of the inevitable event of another pandemic and

503
00:37:20,373 --> 00:37:25,133
Speaker 3: hand it over to who is a frightening prospect. They

504
00:37:26,173 --> 00:37:29,453
Speaker 3: did not ask questions of the pharmaceutical industry during the

505
00:37:29,453 --> 00:37:31,133
Speaker 3: pandemic that they should have asked.

506
00:37:31,453 --> 00:37:31,973
Speaker 2: Why is that?

507
00:37:32,773 --> 00:37:36,813
Speaker 3: Yes, that's the big question is why is that? I

508
00:37:36,853 --> 00:37:40,413
Speaker 3: think we have a very weak media here in New

509
00:37:40,533 --> 00:37:45,133
Speaker 3: Zealand who haven't asked critical questions of the government, and

510
00:37:46,253 --> 00:37:52,533
Speaker 3: we have a government who borrows opinions very easily from

511
00:37:53,693 --> 00:37:59,653
Speaker 3: infected sources. So, for example, medsafe is clued in to BIGMA,

512
00:37:59,813 --> 00:38:03,853
Speaker 3: the International Coalition of medicine's regulatory authorities. It's clued in

513
00:38:04,493 --> 00:38:11,213
Speaker 3: be A databases. We are medicine's regular to Medsafe relies

514
00:38:11,413 --> 00:38:16,613
Speaker 3: upon shared databases that are created overseas but ready made

515
00:38:16,693 --> 00:38:24,013
Speaker 3: opinions about regulations, drugs, health policy, and so on. We

516
00:38:24,173 --> 00:38:30,733
Speaker 3: simply arrive in their inbox ready written, and they then

517
00:38:30,893 --> 00:38:35,373
Speaker 3: pass it on to our government officials and give it

518
00:38:35,413 --> 00:38:40,533
Speaker 3: the med safe stamp of approval without real forethought. And

519
00:38:40,093 --> 00:38:47,533
Speaker 3: that again is how information systems become infected. And what

520
00:38:47,613 --> 00:38:52,013
Speaker 3: we have to remember as people is that it's not information.

521
00:38:52,093 --> 00:38:57,013
Speaker 3: There's no there's huge amounts of information out there. Is

522
00:38:57,013 --> 00:39:00,533
Speaker 3: we always have to remember that what is important is knowledge,

523
00:39:00,573 --> 00:39:05,173
Speaker 3: and knowledge is through our five senses, our intellect, our mind,

524
00:39:05,893 --> 00:39:10,133
Speaker 3: our self reflective consciousness. These are things that we have

525
00:39:10,253 --> 00:39:16,493
Speaker 3: to treasure. And because of the bombardment of information that

526
00:39:16,613 --> 00:39:21,493
Speaker 3: now goes on, we have come to rely through our

527
00:39:21,573 --> 00:39:27,013
Speaker 3: devices on ready made opinions. And the government is as

528
00:39:27,093 --> 00:39:29,853
Speaker 3: much a victim as this as the man in the street.

529
00:39:30,293 --> 00:39:33,733
Speaker 3: And that's what we're seeing here in New Zealand is

530
00:39:33,733 --> 00:39:39,733
Speaker 3: the government regurgitating opinions about biotechnology safety after we've just

531
00:39:40,093 --> 00:39:44,693
Speaker 3: had a pandemic in which millions of people died worldwide

532
00:39:44,853 --> 00:39:49,373
Speaker 3: as a result of biotechnology experimentation, and yet they haven't

533
00:39:49,413 --> 00:39:53,373
Speaker 3: woken up to that. They're sleepwalking to disaster.

534
00:39:54,493 --> 00:39:57,613
Speaker 2: I had Brody Hyde on the podcast couple of weeks back,

535
00:39:58,693 --> 00:40:01,933
Speaker 2: and when he was in Parliament he was the only

536
00:40:02,173 --> 00:40:08,333
Speaker 2: member to have any science background, any science degree or practicality.

537
00:40:09,573 --> 00:40:11,933
Speaker 2: Whether that's still the same, Whether there's been anybody since then,

538
00:40:11,933 --> 00:40:13,933
Speaker 2: I'm not I'm not sure. I know there've been doctors,

539
00:40:13,933 --> 00:40:17,813
Speaker 2: but not scientists. As such. The fact that he knew

540
00:40:17,853 --> 00:40:21,893
Speaker 2: more about some things than anybody else did did not

541
00:40:22,053 --> 00:40:25,293
Speaker 2: stand him in good stead. I don't think in some

542
00:40:25,373 --> 00:40:28,053
Speaker 2: of the decisions that were that were made.

543
00:40:28,533 --> 00:40:33,493
Speaker 3: I think, you know, he would have been resented in

544
00:40:33,653 --> 00:40:38,213
Speaker 3: a in a parliament which has come to be dominated

545
00:40:38,293 --> 00:40:43,573
Speaker 3: by ideology rather than knowledge. That is the hallmark of

546
00:40:43,653 --> 00:40:49,333
Speaker 3: the modern parliament, Okay, which, after all, it starts from

547
00:40:49,413 --> 00:40:53,093
Speaker 3: a fraudulent basis. People can go out on the campaign

548
00:40:53,173 --> 00:40:57,733
Speaker 3: trail promise anything they like, even if they intend to

549
00:40:57,773 --> 00:41:00,853
Speaker 3: do something entirely different. They just promise in order to

550
00:41:00,853 --> 00:41:05,133
Speaker 3: get votes. And you know, when you when you live

551
00:41:05,253 --> 00:41:08,573
Speaker 3: your life like that, you affect who you are and

552
00:41:08,613 --> 00:41:13,933
Speaker 3: what you become. Truth is extremely important. If you live

553
00:41:13,973 --> 00:41:18,693
Speaker 3: a lie, that lie takes over your life. And politicians

554
00:41:18,693 --> 00:41:21,853
Speaker 3: are living a lie. They're getting out there promising things

555
00:41:21,893 --> 00:41:25,173
Speaker 3: they know that they can't deliver, and they're distorting the

556
00:41:25,213 --> 00:41:31,893
Speaker 3: way that their mind works and the resulting behavior and you.

557
00:41:31,933 --> 00:41:35,773
Speaker 3: We've ended up now in the modern era with a

558
00:41:35,853 --> 00:41:40,253
Speaker 3: Parliament which which seems to be completely unaccountable. It seems

559
00:41:40,253 --> 00:41:44,213
Speaker 3: to have developed its own idea that their role as

560
00:41:44,253 --> 00:41:47,733
Speaker 3: our representatives is simply to tell us what to do,

561
00:41:48,413 --> 00:41:52,933
Speaker 3: and to tell us what to do without a good basis,

562
00:41:53,333 --> 00:41:56,653
Speaker 3: without a good logical basis. And if someone is elected

563
00:41:56,693 --> 00:42:01,773
Speaker 3: to Parliament who asks questions, they're ostracized in the same

564
00:42:01,853 --> 00:42:05,973
Speaker 3: way that scientists asking questions about the origins of COVID

565
00:42:06,093 --> 00:42:10,853
Speaker 3: were ostracized because it doesn't fit the paradigm we're now

566
00:42:11,053 --> 00:42:16,653
Speaker 3: As has happened in the last week, we're now in

567
00:42:16,693 --> 00:42:22,733
Speaker 3: a situation where David Seymour and Simeon Brown are saying

568
00:42:22,773 --> 00:42:28,093
Speaker 3: that no health practitioner employed by the government can speak

569
00:42:28,133 --> 00:42:32,493
Speaker 3: freely about medical matters. They have to first check with

570
00:42:32,573 --> 00:42:37,333
Speaker 3: the hierarchy before they're allowed to say anything. Well, a

571
00:42:37,413 --> 00:42:44,333
Speaker 3: closed society in which opinions are suppressed and speech is

572
00:42:44,413 --> 00:42:49,813
Speaker 3: suppressed is the hallmark of a dictatorship, is the hallmark

573
00:42:49,853 --> 00:42:53,893
Speaker 3: of a repressive regime. And that's the direction we're going in.

574
00:42:54,013 --> 00:42:58,173
Speaker 3: And as Seymour said, I'm putting the muppets back in

575
00:42:58,253 --> 00:43:02,653
Speaker 3: their box now. He was talking about medical professionals. He

576
00:43:02,813 --> 00:43:06,293
Speaker 3: was referring to them as muppets, and he said, I'm

577
00:43:06,333 --> 00:43:08,653
Speaker 3: putting them back in this and that is a all

578
00:43:08,693 --> 00:43:09,733
Speaker 3: of arrogance.

579
00:43:10,613 --> 00:43:12,973
Speaker 2: That's unacceptable.

580
00:43:13,813 --> 00:43:18,213
Speaker 3: It's unacceptable. But somehow, rather the media has become tolerant

581
00:43:18,293 --> 00:43:25,413
Speaker 3: of it. They're not asking questions that should be asked.

582
00:43:25,453 --> 00:43:28,213
Speaker 2: You don't suppose do you by any chance that the

583
00:43:28,253 --> 00:43:31,613
Speaker 2: current future as it as it looks for the New

584
00:43:31,693 --> 00:43:35,293
Speaker 2: Zealand Herald might improve on it?

585
00:43:37,093 --> 00:43:40,293
Speaker 3: Well? It could, isn't it. We have a we have

586
00:43:40,493 --> 00:43:45,093
Speaker 3: a you know, someone who's bought Jim Grennan who's reportedly

587
00:43:45,133 --> 00:43:48,533
Speaker 3: bought a nine per cent interest in and said me

588
00:43:49,413 --> 00:43:52,893
Speaker 3: and he wants to be on the board and have

589
00:43:52,973 --> 00:43:53,573
Speaker 3: an influence.

590
00:43:54,053 --> 00:43:58,533
Speaker 2: But he's he's got now at least fifty of the vote.

591
00:43:59,613 --> 00:44:02,333
Speaker 3: Oh well then we may, we may see a change.

592
00:44:02,813 --> 00:44:06,093
Speaker 2: No, it's all, it's all go. And I'm and I'm

593
00:44:06,453 --> 00:44:09,253
Speaker 2: I'm sort of sorry to take the approach that I

594
00:44:09,293 --> 00:44:12,773
Speaker 2: am having had connection with them and still do to

595
00:44:12,773 --> 00:44:17,733
Speaker 2: some degree. But his his major goal, I mean, he's

596
00:44:17,733 --> 00:44:20,653
Speaker 2: not in there just for charity, but his major goal

597
00:44:20,813 --> 00:44:25,333
Speaker 2: is to improve the journalism. Now, whatever that might mean,

598
00:44:25,973 --> 00:44:28,173
Speaker 2: I can only imagine that that will make the paper

599
00:44:28,253 --> 00:44:29,693
Speaker 2: more interesting.

600
00:44:30,293 --> 00:44:36,653
Speaker 3: Yes, because at the moment it's readership is falling precisely

601
00:44:36,733 --> 00:44:41,013
Speaker 3: because it's not very interesting and we're seeing a proliferation.

602
00:44:42,013 --> 00:44:43,773
Speaker 2: Yeah, when you touched on it a moment ago, when

603
00:44:43,773 --> 00:44:48,653
Speaker 2: you were when you were talking about the restriction of views.

604
00:44:48,933 --> 00:44:53,973
Speaker 2: That leads to a captured audience. So under the subheating

605
00:44:54,013 --> 00:44:57,093
Speaker 2: of what will happen to us, a quick look across

606
00:44:57,133 --> 00:44:59,773
Speaker 2: the ditch to Australia reveals they've already they already have

607
00:44:59,813 --> 00:45:03,493
Speaker 2: a gene technology regulated doctor Raj Muller. I've got a

608
00:45:03,533 --> 00:45:07,413
Speaker 2: question about that too. He has announced that a period

609
00:45:07,453 --> 00:45:10,293
Speaker 2: of thirty days public submissions will be held starting in

610
00:45:10,333 --> 00:45:15,093
Speaker 2: March before the probable that's now just probable approval of

611
00:45:15,253 --> 00:45:22,293
Speaker 2: the release of genetically engineered mosquitoes in Queensland. Like, what

612
00:45:22,413 --> 00:45:25,253
Speaker 2: could go wrong? It doesn't stop there. The idea of

613
00:45:25,293 --> 00:45:31,133
Speaker 2: experimenting on Australians is catching on fast incredibly. Buller's office

614
00:45:31,173 --> 00:45:36,213
Speaker 2: has just rated the following project at the Doherty Institute,

615
00:45:36,453 --> 00:45:42,253
Speaker 2: University of Melbourne as posing negligible to moderate risk to

616
00:45:42,373 --> 00:45:46,293
Speaker 2: human health and safety. The initial aim is to evaluate

617
00:45:46,333 --> 00:45:53,853
Speaker 2: the safety and infectivity of recombinant seasonal human influenza viruses

618
00:45:54,173 --> 00:45:58,733
Speaker 2: in healthy volunteers. These GM viruses will then be used

619
00:45:58,733 --> 00:46:02,973
Speaker 2: to assess the effectiveness of therapeutic drugs or vaccine candidates

620
00:46:03,293 --> 00:46:07,613
Speaker 2: to prevent and control influenza infection. And that's the end

621
00:46:07,653 --> 00:46:11,173
Speaker 2: of the quote. But then the lab is proposing to

622
00:46:11,213 --> 00:46:14,053
Speaker 2: make gene altered versions of the flu and then test

623
00:46:14,133 --> 00:46:17,413
Speaker 2: out various genetic drugs and all vaccines on human volunteers

624
00:46:17,453 --> 00:46:20,533
Speaker 2: over five year period. Given the low risk rating by

625
00:46:20,573 --> 00:46:24,653
Speaker 2: the regulator, the project which creates new viruses is likely

626
00:46:24,733 --> 00:46:27,333
Speaker 2: to be a shoe in for a rubber stamp. Does

627
00:46:27,493 --> 00:46:31,733
Speaker 2: any of this sound at all familiar? What's the answer?

628
00:46:33,573 --> 00:46:38,373
Speaker 3: Well, look, the thing is that we've been talking about

629
00:46:38,413 --> 00:46:42,093
Speaker 3: a lab leak, you know, as if it's an accident.

630
00:46:42,293 --> 00:46:47,053
Speaker 3: It was a mistake, But now you know and this

631
00:46:47,133 --> 00:46:50,213
Speaker 3: is how biotechnology works. Now, having had one go at

632
00:46:50,213 --> 00:46:57,453
Speaker 3: this by acces, apparently by accident, now it's promulgated as

633
00:46:57,653 --> 00:47:02,333
Speaker 3: a deliberate policy to invent new viruses and then test

634
00:47:02,373 --> 00:47:06,253
Speaker 3: them out on humans. How can this be contained? It's

635
00:47:07,173 --> 00:47:13,653
Speaker 3: a mystery to me how the kind of experimental interface

636
00:47:13,733 --> 00:47:20,053
Speaker 3: front line of biotechnology keeps expanding with these exotic, risky

637
00:47:20,173 --> 00:47:24,573
Speaker 3: project projects. And they have a gene regulator in Australia.

638
00:47:25,413 --> 00:47:29,213
Speaker 3: We are soon going to have a gene regulator who's

639
00:47:29,413 --> 00:47:31,893
Speaker 3: just going to be a facilitator. They're going to be

640
00:47:31,933 --> 00:47:36,573
Speaker 3: an industry facilitator. And our government is cutting out any

641
00:47:36,733 --> 00:47:43,773
Speaker 3: consideration of precautionary science. It's cutting out any question of

642
00:47:43,933 --> 00:47:52,093
Speaker 3: labeling genetically modified product projects. It's this is very crucial

643
00:47:52,173 --> 00:47:56,573
Speaker 3: to understand about the Gene Technology Bill. It quite apart

644
00:47:56,613 --> 00:48:00,253
Speaker 3: from there being a regulator for some projects, it is

645
00:48:00,813 --> 00:48:04,453
Speaker 3: setting up a system where certain types of genetic engineering,

646
00:48:04,493 --> 00:48:08,733
Speaker 3: which in the actual fact is most genetic engineering, is

647
00:48:08,773 --> 00:48:14,213
Speaker 3: simply going to be completely unregulated. So crisper gene techniques

648
00:48:14,693 --> 00:48:19,693
Speaker 3: have been designated as inherently safe and therefore projects using

649
00:48:19,773 --> 00:48:25,773
Speaker 3: crisper are simply not going to be regulated. They're just

650
00:48:25,853 --> 00:48:30,453
Speaker 3: going to be allowed to go ahead unidentified. It's an

651
00:48:30,573 --> 00:48:36,373
Speaker 3: extraordinary step that our government is proposing, clearly pushed on

652
00:48:36,533 --> 00:48:40,333
Speaker 3: by foreign interests, and we are going to be on

653
00:48:40,413 --> 00:48:44,653
Speaker 3: the receiving end of this kind of experimentation. Where do

654
00:48:44,733 --> 00:48:48,053
Speaker 3: we go from here, Well, the only thing is to

655
00:48:48,653 --> 00:48:50,173
Speaker 3: you know, we want out.

656
00:48:50,413 --> 00:48:54,453
Speaker 2: The election you know half a term ago was a

657
00:48:54,493 --> 00:48:58,053
Speaker 2: great relief to a large portion of the country, the

658
00:48:58,093 --> 00:49:02,333
Speaker 2: majority by far. And as a result of that, has

659
00:49:02,373 --> 00:49:06,733
Speaker 2: the audience, as in the public become like a daisical

660
00:49:07,613 --> 00:49:11,493
Speaker 2: are they pay we if you like, paying enough attention

661
00:49:12,293 --> 00:49:16,613
Speaker 2: to what's going on and passing on our feelings to

662
00:49:16,773 --> 00:49:20,453
Speaker 2: the powers that be who should be become aware of it,

663
00:49:21,213 --> 00:49:22,813
Speaker 2: because it seems to me that there is a lot

664
00:49:22,853 --> 00:49:27,533
Speaker 2: that is happening that rightly informs people would probably object

665
00:49:27,573 --> 00:49:28,373
Speaker 2: to rather strongly.

666
00:49:29,933 --> 00:49:34,053
Speaker 3: I think what it has become clear is that Luxon

667
00:49:34,333 --> 00:49:41,733
Speaker 3: was apparently, you know, an Admira of Ardern style. He

668
00:49:41,813 --> 00:49:46,013
Speaker 3: certainly you know, it's my way, all the highway with Luxon,

669
00:49:47,373 --> 00:49:51,493
Speaker 3: and there is not a genuine debate. A couple of

670
00:49:51,493 --> 00:49:56,773
Speaker 3: weeks ago I submitted to the Health Select Committee and

671
00:49:56,813 --> 00:49:59,973
Speaker 3: it was like talking to the three monkeys, hear no evil,

672
00:50:00,093 --> 00:50:03,693
Speaker 3: see no evil, and that it was passive. It was

673
00:50:03,733 --> 00:50:07,493
Speaker 3: a passive situation. And I was talking about science that

674
00:50:08,333 --> 00:50:12,613
Speaker 3: published scientific papers, recently published scientific papers that were raising

675
00:50:12,853 --> 00:50:17,613
Speaker 3: very serious questions about risk and biotechnology. And it was

676
00:50:17,693 --> 00:50:19,333
Speaker 3: at the end it was oh, thank you very much,

677
00:50:19,413 --> 00:50:22,973
Speaker 3: next please. But if someone came on, as I listened

678
00:50:22,973 --> 00:50:26,933
Speaker 3: to the whole proceedings, who was pro biotechnology, was oh,

679
00:50:27,093 --> 00:50:29,933
Speaker 3: very good, so glad that you could come. Very interesting,

680
00:50:30,133 --> 00:50:37,373
Speaker 3: and that was this is a parliament that has it

681
00:50:37,453 --> 00:50:41,373
Speaker 3: has an agenda, has an ideology. It's going to go ahead,

682
00:50:42,013 --> 00:50:46,933
Speaker 3: whatever the science, whatever the public opinion. It's my way

683
00:50:47,053 --> 00:50:51,253
Speaker 3: or the highway. And this is what characterizes this government.

684
00:50:51,333 --> 00:50:54,933
Speaker 3: And it's not just this government is parliament. Anyone who

685
00:50:54,973 --> 00:50:58,253
Speaker 3: thinks that Chris Hipkins and all he did during the

686
00:50:58,293 --> 00:51:02,173
Speaker 3: pandemic is going to be a better alternative at that

687
00:51:02,333 --> 00:51:06,813
Speaker 3: point is completely wrong. The whole Parliament has got into

688
00:51:06,853 --> 00:51:10,533
Speaker 3: a mode of functioning supported by the media that is

689
00:51:10,613 --> 00:51:13,213
Speaker 3: not in the public interest. There is not in the

690
00:51:13,293 --> 00:51:17,093
Speaker 3: interest of public health. They're promoting programs which are shown

691
00:51:17,133 --> 00:51:19,973
Speaker 3: to be risky, which do not have benefits, which are

692
00:51:20,093 --> 00:51:23,533
Speaker 3: hugely costly, which we are not going to be able

693
00:51:23,533 --> 00:51:27,613
Speaker 3: to afford. Gene therapies cost around five million dollars per

694
00:51:27,613 --> 00:51:34,853
Speaker 3: person and they're very risky. A program to help people

695
00:51:34,853 --> 00:51:38,013
Speaker 3: with sickle celler nemia has been going on for five years,

696
00:51:38,093 --> 00:51:42,893
Speaker 3: funded by Vertex technology, has so far treated twenty two

697
00:51:43,053 --> 00:51:48,893
Speaker 3: people five of only five of those people had any

698
00:51:49,013 --> 00:51:54,293
Speaker 3: residual benefit after one year of the procedure, and the

699
00:51:54,373 --> 00:51:57,933
Speaker 3: cost was five million dollars per person, plus a lot

700
00:51:57,973 --> 00:52:01,853
Speaker 3: of people suffered serious side effects during that program. And

701
00:52:01,933 --> 00:52:06,813
Speaker 3: this is something that Judith Collins and Luxon have been

702
00:52:06,813 --> 00:52:09,453
Speaker 3: getting up and saying we need in New Zealand. We

703
00:52:09,573 --> 00:52:14,133
Speaker 3: do not need programs in New Zealand that are very

704
00:52:14,213 --> 00:52:19,453
Speaker 3: risky and do not work and fail very quickly and

705
00:52:19,493 --> 00:52:23,213
Speaker 3: cost a lot of money. In contrast, programs to improve

706
00:52:24,133 --> 00:52:29,973
Speaker 3: diet and health have enormous, large effect sizes on a

707
00:52:30,093 --> 00:52:34,733
Speaker 3: whole variety of diseases like cancer, like heart disease, like

708
00:52:34,853 --> 00:52:40,253
Speaker 3: autoimmune conditions, diabetes, so public educator and they don't cost

709
00:52:40,293 --> 00:52:45,613
Speaker 3: a lot. And instead we have the Deputy Health Minister

710
00:52:45,933 --> 00:52:54,373
Speaker 3: David Seymour when some hapless doctor in Queenstown said they

711
00:52:54,533 --> 00:52:57,693
Speaker 3: or in Wanaka said they were worried about McDonald's opening

712
00:52:57,773 --> 00:53:01,613
Speaker 3: because of the possible impact on child health and when

713
00:53:01,693 --> 00:53:05,893
Speaker 3: he said that, the response of David Seymour was to

714
00:53:05,933 --> 00:53:07,813
Speaker 3: shut him up and say we're going to put these

715
00:53:08,013 --> 00:53:10,893
Speaker 3: mu it's back in their box, when in fact, it's

716
00:53:10,973 --> 00:53:14,453
Speaker 3: well known that a poor diet is causing a tsunami

717
00:53:14,533 --> 00:53:19,013
Speaker 3: of illness in the population. The adulteration of our foods

718
00:53:19,333 --> 00:53:23,373
Speaker 3: with a high degree of genetically altered content in the

719
00:53:23,413 --> 00:53:28,333
Speaker 3: processing agents is having a catastrophic effect on public health,

720
00:53:29,213 --> 00:53:32,493
Speaker 3: and yet our government is saying people who are saying

721
00:53:32,493 --> 00:53:36,413
Speaker 3: that are muppets. They're not muppets. This is mainstream science.

722
00:53:38,573 --> 00:53:40,493
Speaker 3: I don't want to stop people eating what they want

723
00:53:40,493 --> 00:53:44,133
Speaker 3: to eat, but be aware of the fact that how

724
00:53:44,173 --> 00:53:48,813
Speaker 3: your grandmother prepared food is not how multinational companies prepare

725
00:53:48,853 --> 00:53:55,093
Speaker 3: food today. They prepare food using materials that come out

726
00:53:55,133 --> 00:54:03,973
Speaker 3: of biotechnic batch fermentation, heavily polluted batch fermentation vats, and

727
00:54:04,333 --> 00:54:09,013
Speaker 3: the things that you know like beta carotene which came

728
00:54:09,053 --> 00:54:13,293
Speaker 3: from carrots that used to give the food some color.

729
00:54:14,253 --> 00:54:17,293
Speaker 3: They don't come from carrots anymore. They come out of

730
00:54:17,293 --> 00:54:20,533
Speaker 3: a biotech lab and they have in them anti they

731
00:54:20,533 --> 00:54:27,093
Speaker 3: have pollutants in them, antibiotic genes, antibiotic resistant genes, cell

732
00:54:27,173 --> 00:54:32,293
Speaker 3: division promoters. This is not from carrots. This is what

733
00:54:32,453 --> 00:54:37,733
Speaker 3: I said about the We have evolved in an integrated

734
00:54:38,173 --> 00:54:43,213
Speaker 3: ecosystem where everything is supporting everything else, and if you're

735
00:54:43,253 --> 00:54:48,373
Speaker 3: going to introduce man made genetic structures, they're going to

736
00:54:48,493 --> 00:54:52,533
Speaker 3: have a drastic effect on health. And that's precisely what

737
00:54:52,573 --> 00:54:53,133
Speaker 3: we're seeing.

738
00:54:54,093 --> 00:54:57,933
Speaker 2: You reminded me of what I hear not infrequently in

739
00:54:57,973 --> 00:55:04,973
Speaker 2: America out of America in reference to the Democrats, and

740
00:55:05,053 --> 00:55:08,493
Speaker 2: it goes like this, very simple. The Democrat Party today

741
00:55:08,613 --> 00:55:12,133
Speaker 2: is not the Democrat Party of your parents and grandparents.

742
00:55:12,693 --> 00:55:15,533
Speaker 2: And that's all that needs to be said. Same applies

743
00:55:15,573 --> 00:55:19,013
Speaker 2: to diet and to the way things are cooked and

744
00:55:18,613 --> 00:55:20,973
Speaker 2: what we eat. But of course, as somebody said to

745
00:55:21,013 --> 00:55:22,093
Speaker 2: me the other day, and I think it was one

746
00:55:22,133 --> 00:55:24,853
Speaker 2: of my boys, oh you're so old fashioned, dad, But

747
00:55:24,933 --> 00:55:27,933
Speaker 2: it was meant to be a joke. However, I said,

748
00:55:28,253 --> 00:55:32,013
Speaker 2: I'm proud to be old fashioned under the circumstances. Can

749
00:55:32,053 --> 00:55:38,693
Speaker 2: I conclude with this? This is something that Professor Rob

750
00:55:38,813 --> 00:55:44,053
Speaker 2: McCulloch wrote a couple of days ago, what politicians will

751
00:55:44,133 --> 00:55:48,693
Speaker 2: say in their lust for power Labours Hipkins and Otargo B. C.

752
00:55:49,413 --> 00:55:54,893
Speaker 2: Robertson must be held to account before the election toward

753
00:55:54,933 --> 00:55:57,053
Speaker 2: the end of twenty three. In September of that year,

754
00:55:57,093 --> 00:56:00,853
Speaker 2: when Hipkins was PM and Grant Robertson was well now

755
00:56:00,893 --> 00:56:03,813
Speaker 2: the vice chancellor of Ottaga University, we're running the show.

756
00:56:04,253 --> 00:56:06,533
Speaker 2: This is how they reported on the New Zealand economy

757
00:56:07,373 --> 00:56:12,333
Speaker 2: the pre election. An economic and physical update shows no recession,

758
00:56:12,613 --> 00:56:16,533
Speaker 2: a growing economy, more jobs and wages ahead of inflation.

759
00:56:17,253 --> 00:56:22,573
Speaker 2: Equivalent released today shows New Zealand's economy is turning the

760
00:56:22,653 --> 00:56:27,053
Speaker 2: corner economy to grow two point six percent on average

761
00:56:27,093 --> 00:56:32,373
Speaker 2: over fourcast period, physical rules met return to surplus. Our

762
00:56:32,413 --> 00:56:35,293
Speaker 2: economic plan to support New Zealand as dealing with the

763
00:56:35,293 --> 00:56:39,253
Speaker 2: cost of living while investing in building a stronger, more

764
00:56:39,293 --> 00:56:44,853
Speaker 2: resilient and inclusive economy is working. Just over six months later,

765
00:56:45,373 --> 00:56:49,013
Speaker 2: New Zealand was experiencing a combination of its deepest and

766
00:56:49,093 --> 00:56:53,733
Speaker 2: longest economic downturn and recessionary contraction for over thirty years,

767
00:56:54,333 --> 00:56:57,693
Speaker 2: fewer jobs, none of its physical rules have been met,

768
00:56:57,973 --> 00:57:01,133
Speaker 2: and a worsening cost of living crisis. It goes on,

769
00:57:01,213 --> 00:57:08,613
Speaker 2: but I won't continue. It's the same, it's just a

770
00:57:08,653 --> 00:57:13,333
Speaker 2: different field at the moment. To that it's politicians who

771
00:57:13,413 --> 00:57:18,093
Speaker 2: are not doing their job accurately or appropriately as they should.

772
00:57:18,453 --> 00:57:19,373
Speaker 2: What have I said wrong?

773
00:57:19,853 --> 00:57:25,373
Speaker 3: And they're not facing hard facts that in the health system,

774
00:57:25,533 --> 00:57:28,853
Speaker 3: it doesn't matter how much money you have. If you

775
00:57:28,893 --> 00:57:32,333
Speaker 3: don't have health, it's not possible to enjoy life. So

776
00:57:33,693 --> 00:57:38,893
Speaker 3: health is absolutely fundamental. Education is fundamental. What's going on

777
00:57:38,933 --> 00:57:40,653
Speaker 3: in our classrooms today?

778
00:57:40,813 --> 00:57:42,533
Speaker 2: Well I was going to mention that earlier, but we

779
00:57:42,613 --> 00:57:44,613
Speaker 2: passed it by thanks for raising it.

780
00:57:44,733 --> 00:57:49,613
Speaker 3: Absolutely, it's you know these are but these are fundamentals,

781
00:57:50,413 --> 00:57:58,453
Speaker 3: and look common sense. It's not old fashions, is it?

782
00:57:59,053 --> 00:58:02,173
Speaker 2: No? Common sense? Common sense doesn't date.

783
00:58:02,493 --> 00:58:07,573
Speaker 3: No, and where we began with the lab leak. It's

784
00:58:07,613 --> 00:58:11,053
Speaker 3: so off and so many people turn to look the

785
00:58:11,053 --> 00:58:12,933
Speaker 3: other way. And I was thinking with the other day.

786
00:58:12,933 --> 00:58:15,533
Speaker 3: It's as if you you suddenly you're standing at your

787
00:58:15,573 --> 00:58:19,573
Speaker 3: front door looking out, and someone appears by your side,

788
00:58:20,173 --> 00:58:22,173
Speaker 3: and you think, where did they come from? Well, of

789
00:58:22,213 --> 00:58:26,573
Speaker 3: course they came from inside the house you're looking out.

790
00:58:26,893 --> 00:58:29,813
Speaker 3: They came from inside the house. And where did COVID.

791
00:58:29,533 --> 00:58:30,813
Speaker 2: Come from inside?

792
00:58:31,933 --> 00:58:36,093
Speaker 3: Obvious that it came from inside the biotech.

793
00:58:35,493 --> 00:58:39,973
Speaker 2: Out Indeed, Guy Hatchard, it's been good as always. How

794
00:58:39,973 --> 00:58:42,453
Speaker 2: do people teck on to your.

795
00:58:42,973 --> 00:58:46,093
Speaker 3: We put out a blog the Hatchyld Report dot com

796
00:58:46,133 --> 00:58:50,973
Speaker 3: and Globe dot Global to reports and hatch Eyld Report

797
00:58:51,053 --> 00:58:54,213
Speaker 3: comes out two or three times a week, and we

798
00:58:54,373 --> 00:58:59,613
Speaker 3: always reference signed published science in our articles. It's very

799
00:58:59,693 --> 00:59:04,973
Speaker 3: very important. We go to reputable during journals. We reference

800
00:59:05,013 --> 00:59:07,733
Speaker 3: our points and we try and explain what's going on

801
00:59:07,853 --> 00:59:10,773
Speaker 3: in a landlanguage that the ordinary man in the street

802
00:59:10,933 --> 00:59:14,733
Speaker 3: can understand. And then we also published Globe dot Global,

803
00:59:15,013 --> 00:59:17,933
Speaker 3: which comes out less frequently, but it looks at it

804
00:59:17,933 --> 00:59:23,333
Speaker 3: at more depth at the biotech issues and the problems

805
00:59:23,373 --> 00:59:24,253
Speaker 3: in the industry.

806
00:59:25,013 --> 00:59:30,373
Speaker 2: Globe dot Global. Yeah, very good, and again thank you.

807
00:59:30,693 --> 00:59:33,933
Speaker 3: It's a great pleasure as always talking to you late

808
00:59:34,093 --> 00:59:36,813
Speaker 3: and you're a great observer of society.

809
00:59:37,293 --> 00:59:58,093
Speaker 2: Thank you guys. Right, missus producer, we are here for

810
00:59:58,253 --> 01:00:00,973
Speaker 2: podcast two seventy seven's mailroom later.

811
01:00:01,253 --> 01:00:03,893
Speaker 5: How I can fit you in briefly this morning with

812
01:00:03,973 --> 01:00:07,653
Speaker 5: all my list of things to do, So let's get

813
01:00:07,693 --> 01:00:09,413
Speaker 5: on with it.

814
01:00:09,413 --> 01:00:10,973
Speaker 6: It is I'm on a mission.

815
01:00:12,373 --> 01:00:15,213
Speaker 5: Leyton Jeff says on Rodney Hyde. I have listened to

816
01:00:15,253 --> 01:00:17,853
Speaker 5: this podcast a couple of times now and I have

817
01:00:17,933 --> 01:00:20,453
Speaker 5: to say as a politician, I never had much faith

818
01:00:20,453 --> 01:00:24,373
Speaker 5: in him. As a former prison officer myself, he back

819
01:00:24,413 --> 01:00:27,333
Speaker 5: in two thousand and eight was hugely responsible for the

820
01:00:27,373 --> 01:00:31,733
Speaker 5: privatization of Mount Eden Correctional Facility. I had worked in

821
01:00:31,773 --> 01:00:34,253
Speaker 5: the old prison for a decade on its closing, but

822
01:00:34,413 --> 01:00:37,013
Speaker 5: because of mister Hyde was one of a couple of

823
01:00:37,013 --> 01:00:41,053
Speaker 5: one hundred dedicated prison staff who were made redundant, most

824
01:00:41,053 --> 01:00:44,493
Speaker 5: who ended up after going through a rigorous recruitment process

825
01:00:44,533 --> 01:00:49,533
Speaker 5: a greatly inferior private company. Since then, however, I think

826
01:00:49,573 --> 01:00:53,013
Speaker 5: the man has matured. As I find myself listening to

827
01:00:53,093 --> 01:00:57,413
Speaker 5: his interviews on URCR and reading his articles, I find

828
01:00:57,453 --> 01:01:01,493
Speaker 5: myself mostly in agreement with him on most subjects. This podcast,

829
01:01:01,533 --> 01:01:04,133
Speaker 5: in particular was a great one, and I admire his

830
01:01:04,213 --> 01:01:08,013
Speaker 5: actions on the child sex education issue. It is just

831
01:01:08,053 --> 01:01:10,533
Speaker 5: part of the attack in our democracy, and I cannot

832
01:01:10,533 --> 01:01:12,893
Speaker 5: help but think that with the logic mister Hyde is

833
01:01:12,933 --> 01:01:16,893
Speaker 5: now espousing, he sounds much more desirable as a politician.

834
01:01:18,173 --> 01:01:20,933
Speaker 5: I totally agree with Rodney's take on our current prime minister,

835
01:01:21,053 --> 01:01:23,653
Speaker 5: and one can only hope mister Luxon was listening to

836
01:01:23,693 --> 01:01:26,573
Speaker 5: those remarks, although I think it would be like water

837
01:01:26,653 --> 01:01:29,453
Speaker 5: running off a duck's back. But anyway, I thought I

838
01:01:29,453 --> 01:01:31,893
Speaker 5: would say my five cents worth. There have been many

839
01:01:31,933 --> 01:01:35,133
Speaker 5: great podcasts in your library of podcasts, but this one

840
01:01:35,173 --> 01:01:37,533
Speaker 5: for me was special, and that's from Jeff.

841
01:01:37,733 --> 01:01:43,093
Speaker 2: Jeff brilliant is all I can say. Absolutely outstanding right

842
01:01:43,133 --> 01:01:46,733
Speaker 2: from Donald talking of Rodney Hyde. A truly broad and

843
01:01:46,773 --> 01:01:51,133
Speaker 2: profound coverage which triggered for me diverse reactions now following

844
01:01:51,133 --> 01:01:55,973
Speaker 2: in no particular order. Yes, wokism appeals to soft minds.

845
01:01:56,373 --> 01:02:01,133
Speaker 2: It relives its adherent from the rigors of objective observation

846
01:02:01,413 --> 01:02:05,213
Speaker 2: and hard intellectual analysis. Wocism is also a bedmate of

847
01:02:05,253 --> 01:02:09,653
Speaker 2: progressive politics, with its self proclaimed philanthropy ignoring what is

848
01:02:09,813 --> 01:02:13,413
Speaker 2: reality or what in reality is a subjective concept in

849
01:02:13,453 --> 01:02:17,413
Speaker 2: its dark side, an excuse for Marxist style destruction of

850
01:02:17,453 --> 01:02:21,933
Speaker 2: the status quo. A Dern knows all about that the

851
01:02:22,013 --> 01:02:26,133
Speaker 2: human race stands guilty of cyclical irrational behavior, thus the

852
01:02:26,173 --> 01:02:29,773
Speaker 2: swings between periods of dark ages and enlightenment. But it

853
01:02:30,013 --> 01:02:35,653
Speaker 2: entirely suits the government's anathema to liberal Western democracies to

854
01:02:35,733 --> 01:02:39,533
Speaker 2: ferment the seeds of their internal disunity. What better than

855
01:02:39,573 --> 01:02:44,373
Speaker 2: woke avoids military intervention. Among the co conspirators of wocism

856
01:02:44,493 --> 01:02:49,573
Speaker 2: are indoctrination, selective media, apathy, and stupidity. It's a good collection.

857
01:02:50,013 --> 01:02:53,733
Speaker 2: When information is scarce or skewed, a sense of comfort

858
01:02:53,813 --> 01:02:57,333
Speaker 2: derived from what others do or say is wrongly seen

859
01:02:57,413 --> 01:03:00,213
Speaker 2: as a preferred course of action. The power of the

860
01:03:00,253 --> 01:03:05,973
Speaker 2: one needs the stupidity of the others, as Bonhoeffer aptly

861
01:03:06,013 --> 01:03:06,253
Speaker 2: put it.

862
01:03:06,413 --> 01:03:12,213
Speaker 5: Regards don Leyton Pete says, thanks for last week's anonymous

863
01:03:12,213 --> 01:03:13,493
Speaker 5: correspondent letter.

864
01:03:13,773 --> 01:03:15,253
Speaker 6: Withheld until you could read it.

865
01:03:15,933 --> 01:03:18,573
Speaker 5: The letter was well worth the weight, if only for

866
01:03:18,653 --> 01:03:21,933
Speaker 5: the clear and easily supported statement that Maori and I

867
01:03:21,973 --> 01:03:25,413
Speaker 5: see it as primarily the treaty is to activists, and

868
01:03:25,573 --> 01:03:30,413
Speaker 5: government pandering to those activists are holding the country back economically.

869
01:03:30,893 --> 01:03:32,933
Speaker 5: The bloke and his wife along the street are fine,

870
01:03:33,013 --> 01:03:36,053
Speaker 5: as are their children. They are doing their bit. I

871
01:03:36,133 --> 01:03:38,893
Speaker 5: do not wish to see us move to an ethno

872
01:03:38,973 --> 01:03:42,453
Speaker 5: state driven by ethnic and inter ethnic division. I do

873
01:03:42,533 --> 01:03:44,933
Speaker 5: not see a need for Mari's seats in Parliament or

874
01:03:44,973 --> 01:03:49,453
Speaker 5: Mari wards in local body elections. The division is not helpful,

875
01:03:49,693 --> 01:03:53,373
Speaker 5: nor the forced spirituality and suggestion that those with some

876
01:03:53,533 --> 01:03:57,373
Speaker 5: Mari DNA know more about the water, the environment and

877
01:03:57,493 --> 01:04:01,253
Speaker 5: families than anyone else. The issue extends to government failure

878
01:04:01,373 --> 01:04:04,133
Speaker 5: to attend to sorting out the courts and the Waitangi

879
01:04:04,173 --> 01:04:10,093
Speaker 5: Tribunal to remind both that Parliament is sovereign. Necessary legislation

880
01:04:10,213 --> 01:04:14,653
Speaker 5: to resolve the coast water and the currently oversized public

881
01:04:14,773 --> 01:04:19,893
Speaker 5: service via the Treatised Public Services Act twenty twenty is

882
01:04:20,013 --> 01:04:22,093
Speaker 5: essential and required smartly.

883
01:04:22,413 --> 01:04:23,933
Speaker 6: Keep up the good work, says Pete.

884
01:04:24,053 --> 01:04:30,493
Speaker 2: Pete excellent. This is interesting, isn't that? Brian wrote to

885
01:04:30,533 --> 01:04:33,213
Speaker 2: me and said, is that I have never heard a

886
01:04:33,253 --> 01:04:36,973
Speaker 2: more useless minister answering questions. What possessed Luxelon to give

887
01:04:37,013 --> 01:04:40,653
Speaker 2: that position to this idiot? I now fear more than

888
01:04:40,693 --> 01:04:45,053
Speaker 2: ever for New Zealand's future. So I decided i'd reply

889
01:04:45,213 --> 01:04:50,853
Speaker 2: to Brian's little note. I said, I said, your fear

890
01:04:51,093 --> 01:04:54,173
Speaker 2: is well placed. Then he responded, I'm now more feared

891
01:04:54,173 --> 01:04:57,573
Speaker 2: than ever. Yes, So I did my little bit.

892
01:04:58,613 --> 01:05:00,613
Speaker 6: That's funny Lighton.

893
01:05:01,013 --> 01:05:05,373
Speaker 5: Chris says, as usual, another great interview with Rodney Hyde.

894
01:05:05,413 --> 01:05:06,933
Speaker 5: I never got on board with him when he was

895
01:05:06,973 --> 01:05:08,893
Speaker 5: a politician, but I think in the the last few

896
01:05:09,013 --> 01:05:12,333
Speaker 5: years he has grown a large set of cahonis.

897
01:05:12,453 --> 01:05:13,533
Speaker 6: Maybe he already had them.

898
01:05:13,573 --> 01:05:16,853
Speaker 5: I just didn't see it, and he says, Chris, I

899
01:05:16,933 --> 01:05:19,613
Speaker 5: quite like that and support him now. I read his

900
01:05:19,773 --> 01:05:24,173
Speaker 5: articles on BBNH listening to the odd RCR topic, and

901
01:05:24,253 --> 01:05:27,613
Speaker 5: I too watched the videos of the school board censorship disgrace.

902
01:05:28,413 --> 01:05:30,413
Speaker 5: In that episode's mail room, there was a doctri in

903
01:05:30,493 --> 01:05:33,693
Speaker 5: yourself endorsing most of the old vaccines. I would also

904
01:05:33,813 --> 01:05:36,133
Speaker 5: fall in that camp the old vaccines. I had them

905
01:05:36,173 --> 01:05:40,133
Speaker 5: more my kids had them. However, I don't going forward

906
01:05:40,893 --> 01:05:44,773
Speaker 5: all vaccines will become mRNA, including the tetanus injection, which

907
01:05:44,773 --> 01:05:47,773
Speaker 5: I just cannot get on board with. We have no

908
01:05:47,933 --> 01:05:49,853
Speaker 5: choice in this, and it will be forced upon all

909
01:05:49,893 --> 01:05:52,453
Speaker 5: of us under the guise of the great new technology.

910
01:05:52,773 --> 01:05:55,053
Speaker 5: And how much of a benefit it will be to us.

911
01:05:55,853 --> 01:05:59,973
Speaker 5: I don't believe in our mRNA technology as a vaccine system.

912
01:06:00,773 --> 01:06:02,973
Speaker 5: You can see all around you that COVID was bad

913
01:06:02,973 --> 01:06:06,933
Speaker 5: for the world, and I don't mean Omicron, delta, etc. However,

914
01:06:06,973 --> 01:06:09,733
Speaker 5: I'm talking about what it did to all societies around

915
01:06:09,733 --> 01:06:13,653
Speaker 5: the world, but especially Western society. You could take it

916
01:06:13,693 --> 01:06:16,973
Speaker 5: all back, not have any vaccines, no lockdowns. Imagine how

917
01:06:17,053 --> 01:06:19,453
Speaker 5: much better off the world would be. Hindsight is a

918
01:06:19,453 --> 01:06:22,893
Speaker 5: great thing for forming a clear perspective. The one silver

919
01:06:22,973 --> 01:06:25,773
Speaker 5: lining is we get to see who the true tyrants

920
01:06:25,813 --> 01:06:28,413
Speaker 5: that rule over us are and a lot more of

921
01:06:28,453 --> 01:06:31,413
Speaker 5: their corruption is now in plain sight. Well that's my

922
01:06:31,493 --> 01:06:34,173
Speaker 5: two cents worth, says Chris. I can't wait till the

923
01:06:34,213 --> 01:06:37,813
Speaker 5: next interview, Chris, lovely to meet you. The other day,

924
01:06:37,933 --> 01:06:42,533
Speaker 5: this guy bumped into us in the supermarket and introduced

925
01:06:42,573 --> 01:06:43,413
Speaker 5: himself to Leyton.

926
01:06:43,653 --> 01:06:45,893
Speaker 6: So nice to meet you, nice Garry.

927
01:06:46,573 --> 01:06:50,653
Speaker 2: This goes back to mid February, but it passed over

928
01:06:50,853 --> 01:06:56,333
Speaker 2: unwittingly previously. Firstly, I thoroughly enjoyed your latest podcast with

929
01:06:56,373 --> 01:06:59,533
Speaker 2: Peter Bagotian, and I found what he had to say

930
01:06:59,613 --> 01:07:03,973
Speaker 2: on the Mari culture being of detriment to itself to

931
01:07:04,013 --> 01:07:07,413
Speaker 2: be one hundred percent on the mark. Myself being part Marie.

932
01:07:07,493 --> 01:07:10,293
Speaker 2: It is unfortunately something I've had to come to grips with,

933
01:07:10,333 --> 01:07:13,293
Speaker 2: particularly when listening to the likes of Thomas Sole or

934
01:07:13,333 --> 01:07:17,093
Speaker 2: even doctor Jordan Peterson. There is a lot of victim

935
01:07:17,133 --> 01:07:21,973
Speaker 2: mentality which seems to get passed down from generation to generation. Thankfully,

936
01:07:22,013 --> 01:07:24,693
Speaker 2: in my family we have never taken this sort of

937
01:07:24,893 --> 01:07:30,173
Speaker 2: blame game beggar type compensation mentality, and I promise you

938
01:07:30,213 --> 01:07:32,933
Speaker 2: my grandmother will be rolling in a grave. I also

939
01:07:33,053 --> 01:07:36,573
Speaker 2: agree with your correspondent that it is time to get

940
01:07:36,613 --> 01:07:40,813
Speaker 2: doctor Guy Hatchett back in regards to GMO, where your

941
01:07:40,893 --> 01:07:45,773
Speaker 2: dreams came true today, didn't they? And the deregulation of biotechnology.

942
01:07:45,813 --> 01:07:48,333
Speaker 2: This is something that I'm keeping a very close eye on,

943
01:07:48,493 --> 01:07:52,933
Speaker 2: but unfortunately new was coming if National and Act were

944
01:07:52,933 --> 01:07:57,653
Speaker 2: to be elected into parliament that, unfortunately it would only

945
01:07:57,693 --> 01:08:00,133
Speaker 2: be a matter of time. As for those of us

946
01:08:00,173 --> 01:08:04,693
Speaker 2: paying attention, saw them campaign and promote the idea leading

947
01:08:04,773 --> 01:08:08,173
Speaker 2: up to the election. Now there's a secondly, and there's

948
01:08:08,173 --> 01:08:11,493
Speaker 2: a another page and a half, well actually another two

949
01:08:11,533 --> 01:08:16,613
Speaker 2: pages and a quarter of correspondence. So there I shall

950
01:08:16,693 --> 01:08:21,613
Speaker 2: leave it. But the whole essay, if you like, is

951
01:08:22,093 --> 01:08:24,293
Speaker 2: worthy and I appreciate it.

952
01:08:25,133 --> 01:08:25,413
Speaker 6: Leydon.

953
01:08:25,453 --> 01:08:28,613
Speaker 5: Jeff says, your anonymous letter right from two seventy four

954
01:08:28,893 --> 01:08:31,413
Speaker 5: was one hundred percent on the money in my opinion,

955
01:08:31,933 --> 01:08:34,333
Speaker 5: not least of which is my endorsement of his wish

956
01:08:34,373 --> 01:08:37,453
Speaker 5: for a double appearance by j d Vance following Trump.

957
01:08:38,013 --> 01:08:41,493
Speaker 5: Thanks for the good work, says Jeff. Best wishes from

958
01:08:41,653 --> 01:08:43,973
Speaker 5: Jeff the Ref and Tennessee.

959
01:08:44,853 --> 01:08:46,933
Speaker 2: I'm still going to come and see you, Jeff. I

960
01:08:46,973 --> 01:08:49,213
Speaker 2: don't know when or don't know how, but I'm coming

961
01:08:49,253 --> 01:08:53,053
Speaker 2: to see you. It'll drop in unannounced. Doctor Michael de

962
01:08:53,133 --> 01:08:59,453
Speaker 2: Percy was on point regarding progressive politicians like Adern. Today's

963
01:08:58,733 --> 01:09:03,413
Speaker 2: Today's announcement would make you respond, according to wouldn't it?

964
01:09:03,933 --> 01:09:07,733
Speaker 2: Obama and Trudeau they're all talking, no action. It's no

965
01:09:07,813 --> 01:09:12,173
Speaker 2: wonder where mobs often exhibits Trump derangement syndrome. They dismissed

966
01:09:12,213 --> 01:09:16,093
Speaker 2: Trump's all talk only to be shocked by Trump's all action.

967
01:09:16,973 --> 01:09:20,773
Speaker 2: The Wokarati has never faced anyone like Trump, who was

968
01:09:20,813 --> 01:09:24,693
Speaker 2: all talk and all action. In Good Morning Britain, Piers

969
01:09:24,693 --> 01:09:28,933
Speaker 2: Morgan gave a brilliant advice about interpreting Trump. Focus on

970
01:09:28,973 --> 01:09:33,613
Speaker 2: what he does, not what he says. Well, that's well known. Actually,

971
01:09:33,653 --> 01:09:37,413
Speaker 2: that was quoted to me by Well via a friend

972
01:09:37,453 --> 01:09:40,733
Speaker 2: who was a friend of an American billionaire who knew

973
01:09:40,773 --> 01:09:43,813
Speaker 2: Trump well until he died. That is not Trump, that's

974
01:09:43,853 --> 01:09:48,173
Speaker 2: the billionaire. Ironically, the most blatant display of woke in

975
01:09:48,253 --> 01:09:51,853
Speaker 2: recent times does not come from politicians. Instead, it comes

976
01:09:51,853 --> 01:09:55,413
Speaker 2: from Disney. The twenty twenty five live remake of Snow

977
01:09:55,413 --> 01:09:59,573
Speaker 2: White is Disney's suicide note after overdosing on woke pills.

978
01:10:00,333 --> 01:10:04,853
Speaker 2: Disney specifically hired Rachel Zegler as Snow White because she

979
01:10:05,053 --> 01:10:09,613
Speaker 2: wasn't white. Rachel Zegler then Poopoo's the original nineteen thirty

980
01:10:09,653 --> 01:10:12,693
Speaker 2: seven Snow White for needing a man to save her.

981
01:10:13,173 --> 01:10:16,013
Speaker 2: And wait this more, in this movie, snow White single

982
01:10:16,053 --> 01:10:20,533
Speaker 2: handedly fights and overpowers men much stronger than her. Oh

983
01:10:20,573 --> 01:10:26,093
Speaker 2: and yes, Rachel Zigler. Zigler has Trump derangement syndrome, saying

984
01:10:26,453 --> 01:10:30,053
Speaker 2: made Trump supporters and Trump voters and Trump himself never

985
01:10:30,173 --> 01:10:33,573
Speaker 2: know peace. We've filled with wonderful people in the world.

986
01:10:34,813 --> 01:10:38,413
Speaker 2: I hope Disney goes bankrupt for killing Marble Star Wars

987
01:10:38,613 --> 01:10:43,373
Speaker 2: and pissing on Walt Disney's grave. I haven't heard you

988
01:10:43,493 --> 01:10:46,133
Speaker 2: use this phrase for a long time. Later, but Disney

989
01:10:46,173 --> 01:10:52,533
Speaker 2: can get off my planet. And Jay I say thank

990
01:10:52,573 --> 01:10:56,613
Speaker 2: you very much, miss producer two seven eight, next week

991
01:10:56,653 --> 01:10:59,013
Speaker 2: see you then, yep, all right, Now, go and do

992
01:10:59,093 --> 01:11:12,613
Speaker 2: whatever you got to do. I know you're busy now

993
01:11:12,613 --> 01:11:17,293
Speaker 2: to the aforementioned headline of the climate scam is over.

994
01:11:18,173 --> 01:11:22,373
Speaker 2: On March twenty one, twenty twenty five, the Science of

995
01:11:22,453 --> 01:11:28,133
Speaker 2: Climate Change journal published a groundbreaking study using AI Grock

996
01:11:28,333 --> 01:11:32,573
Speaker 2: three to debunct debunct the man made climate crisis narrative.

997
01:11:33,213 --> 01:11:37,133
Speaker 2: The paper was called a Critical Reassessment of the anthropogenic

998
01:11:37,213 --> 01:11:41,573
Speaker 2: CO two global warming hypothesis. This peer reviewed study and

999
01:11:41,693 --> 01:11:45,013
Speaker 2: literature review not only reassesses Man's role in the climate

1000
01:11:45,053 --> 01:11:49,413
Speaker 2: change narrative, it also reveals a general trend to exaggerate

1001
01:11:49,453 --> 01:11:54,013
Speaker 2: global warming. Furthermore, this paper demonstrates that using AI to

1002
01:11:54,173 --> 01:11:59,293
Speaker 2: critically review scientific data will soon become the standard in

1003
01:11:59,413 --> 01:12:03,573
Speaker 2: both the physical and medical sciences. How you respond to

1004
01:12:03,653 --> 01:12:07,733
Speaker 2: that is entirely up to you. Makes me a bit nervous,

1005
01:12:07,933 --> 01:12:11,853
Speaker 2: But let's carry on. After the debarkle of man made

1006
01:12:11,853 --> 01:12:15,533
Speaker 2: climate change and the corruption the corruption of evidence based

1007
01:12:15,573 --> 01:12:18,773
Speaker 2: medicine by Big Farmer, the use of AI for government

1008
01:12:18,813 --> 01:12:23,173
Speaker 2: funded research will become normalized and standards will be developed

1009
01:12:23,173 --> 01:12:26,253
Speaker 2: for its use in peer reviewed journals. The use of

1010
01:12:26,293 --> 01:12:29,453
Speaker 2: AI and clinical trial development and analysis will drive innovation

1011
01:12:29,653 --> 01:12:34,133
Speaker 2: in Western medicine in unprecedented ways. The FDA Food and

1012
01:12:34,173 --> 01:12:38,733
Speaker 2: Drug Administration must adopt AI for analyzing pre clinical and

1013
01:12:38,813 --> 01:12:43,933
Speaker 2: clinical trial research and design to keep pace with current trends.

1014
01:12:44,293 --> 01:12:47,653
Speaker 2: Now published on the twenty third of March in Science

1015
01:12:47,693 --> 01:12:51,573
Speaker 2: and Climate Change, the paper A critical reassessment of the

1016
01:12:51,573 --> 01:12:57,013
Speaker 2: anthropogenic CO two global warming hypothesis, suggests natural forces like

1017
01:12:57,093 --> 01:13:01,613
Speaker 2: solar activity and temperature cycles are the real culprits. This

1018
01:13:01,693 --> 01:13:05,893
Speaker 2: study marks a historic milestone to the best of current knowledge.

1019
01:13:06,133 --> 01:13:09,333
Speaker 2: It's the first peer reviewed climates shigiens paper with an

1020
01:13:09,333 --> 01:13:15,173
Speaker 2: aisystem as the lead author. GROCK three Beta, developed by Xai,

1021
01:13:15,493 --> 01:13:19,173
Speaker 2: spearheaded the research, drafting the manuscript with human co authors

1022
01:13:19,213 --> 01:13:25,653
Speaker 2: providing critical guidance. It uses unadjusted records to argue human

1023
01:13:25,813 --> 01:13:29,813
Speaker 2: CO two only four percent of the annual carbon cycle,

1024
01:13:30,573 --> 01:13:34,933
Speaker 2: that human CO two vanishes into oceans and forests within

1025
01:13:35,013 --> 01:13:39,133
Speaker 2: three to four years, not centuries, as the Intergovernmental Panel

1026
01:13:39,133 --> 01:13:43,133
Speaker 2: on Climate Change claims. During the twenty twenty COVID lockdowns,

1027
01:13:43,213 --> 01:13:46,893
Speaker 2: a seven percent emissions drop that amounted to two point

1028
01:13:46,933 --> 01:13:49,973
Speaker 2: four billion tons of CO two should have caused a

1029
01:13:50,093 --> 01:13:54,093
Speaker 2: noticeable dip in the more to lower CO two curve.

1030
01:13:55,693 --> 01:14:04,053
Speaker 2: Yet noblip appeared, hinting nature's dominance. Researcher Demetrius katsuyais cited

1031
01:14:04,133 --> 01:14:08,893
Speaker 2: in the study bolsters this view. His isotopic analysis finds

1032
01:14:08,973 --> 01:14:12,773
Speaker 2: no lasting human CO two signature in the atmosphere over centuries,

1033
01:14:13,213 --> 01:14:18,733
Speaker 2: challenging its impact. His statistical work adds a twist. Temperature

1034
01:14:18,813 --> 01:14:22,933
Speaker 2: drives CO two levels, not vice versa. Shall I repeat

1035
01:14:22,973 --> 01:14:28,453
Speaker 2: that temperature drives CO two levels, not vice versa, With

1036
01:14:28,573 --> 01:14:32,333
Speaker 2: heat leading CO two shifts by six to twelve months

1037
01:14:32,333 --> 01:14:36,093
Speaker 2: in modern data and eight hundred years in ice cores,

1038
01:14:36,813 --> 01:14:41,373
Speaker 2: It's like thunder before lightning, says Willy Soon, warming pulls

1039
01:14:41,533 --> 01:14:46,653
Speaker 2: CO two from oceans. The study also faults IPCC models

1040
01:14:46,693 --> 01:14:51,213
Speaker 2: for exaggerating warming. Models predict up to zero point five

1041
01:14:51,253 --> 01:14:55,373
Speaker 2: percent per decade, but satellite and ground data shows just

1042
01:14:55,733 --> 01:15:00,853
Speaker 2: zero point one to zero point one three degrees centigrade.

1043
01:15:01,333 --> 01:15:05,453
Speaker 2: Arctic co ice, expected to shrink sharply, has stabilized since

1044
01:15:05,493 --> 01:15:10,133
Speaker 2: two thousand seven. These models overplaced two's role, says David Leggetts.

1045
01:15:10,813 --> 01:15:16,533
Speaker 2: They don't fit reality a little more the sun takes

1046
01:15:16,653 --> 01:15:21,333
Speaker 2: set a stage instead. Analyzing twenty seven solar energy estimates,

1047
01:15:22,093 --> 01:15:26,053
Speaker 2: the team finds versions with bigger fluctuations, like peaks in

1048
01:15:26,093 --> 01:15:30,413
Speaker 2: the nineteen forties and nineteen eighties, match temperature shifts better

1049
01:15:31,053 --> 01:15:36,253
Speaker 2: than the IPCC's flat solar model. Adjusted temperature records, cooling

1050
01:15:36,333 --> 01:15:40,013
Speaker 2: older readings and boosting recent ones inflate warning to one

1051
01:15:40,053 --> 01:15:44,853
Speaker 2: degree centigrade since eighteen fifty, while unadjusted rural data show

1052
01:15:44,973 --> 01:15:48,573
Speaker 2: a gentler half a degree rice. This up ends the

1053
01:15:48,573 --> 01:15:53,453
Speaker 2: climate story, says Jonathan Cohler. Nature, not humanity, may hold

1054
01:15:53,453 --> 01:15:58,813
Speaker 2: the wheel. Merging AI analysis with human insight, the study

1055
01:15:58,813 --> 01:16:02,693
Speaker 2: seeks to spark debate and shift focus to natural drivers.

1056
01:16:03,333 --> 01:16:08,213
Speaker 2: It's available at Science of Climate Change, and the authors say,

1057
01:16:08,413 --> 01:16:10,893
Speaker 2: we invite the public and scientists to like to explore

1058
01:16:10,933 --> 01:16:15,213
Speaker 2: this evidence. Let's question what we've assumed and dig into

1059
01:16:15,533 --> 01:16:20,693
Speaker 2: what the data really say. Now, how much coverage that'll

1060
01:16:20,693 --> 01:16:23,253
Speaker 2: get in the mainstream media remains to be seen. My

1061
01:16:23,453 --> 01:16:27,173
Speaker 2: bet is very little. There will be scientists in this country,

1062
01:16:27,213 --> 01:16:32,333
Speaker 2: so called scientists, I'd call them failed scientists in many regards,

1063
01:16:33,173 --> 01:16:37,013
Speaker 2: who will try and leverage their position, shall we say,

1064
01:16:37,253 --> 01:16:41,973
Speaker 2: or their so called reputation into the government not shifting

1065
01:16:42,013 --> 01:16:46,973
Speaker 2: its ridiculous stance. At this point of time, minister Watts

1066
01:16:47,173 --> 01:16:50,333
Speaker 2: needs to wake up. I say that, with the best

1067
01:16:50,373 --> 01:16:54,373
Speaker 2: of intention, mister Watts needs to wake up and open

1068
01:16:54,453 --> 01:16:59,533
Speaker 2: his mind a little or one might start asking questions

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01:16:59,813 --> 01:17:02,893
Speaker 2: about his true intent. Now, all of that came from

1070
01:17:03,173 --> 01:17:06,813
Speaker 2: one article which runs one, two, three, four, five, five

1071
01:17:06,813 --> 01:17:10,133
Speaker 2: and a bit pages called the Climate Scam is over

1072
01:17:10,293 --> 01:17:13,293
Speaker 2: by Robert W. Malone. And everybody should be familiar with

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01:17:13,413 --> 01:17:17,813
Speaker 2: Robert Malone by now, and it provides references to able

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01:17:18,333 --> 01:17:22,213
Speaker 2: anybody to access more information. And I would like to

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01:17:22,253 --> 01:17:25,573
Speaker 2: see many people, many people follow up on it. And

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01:17:25,653 --> 01:17:29,973
Speaker 2: on that pleasing note, I will say that takes us

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01:17:29,973 --> 01:17:33,133
Speaker 2: out for podcasts to seventy seven back for two seventy

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01:17:33,213 --> 01:17:38,853
Speaker 2: eight soon and we'll cover more of this climate story undoubtedly,

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01:17:38,933 --> 01:17:42,093
Speaker 2: if not next week than very shortly. But that's my intent.

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01:17:42,573 --> 01:17:46,213
Speaker 2: So Latin that newstalksb dot co dot nz or Caroenn

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01:17:46,213 --> 01:17:49,973
Speaker 2: at newstalksb dot co dot nz. As usual, thank you

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01:17:50,013 --> 01:17:51,653
Speaker 2: for listening and we shall talk soon.

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01:17:59,413 --> 01:18:03,373
Speaker 1: Thank you for more from News Talks EDB. Listen live

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01:18:03,573 --> 01:18:06,293
Speaker 1: on air or online, and keep our shows with you

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01:18:06,373 --> 01:18:09,333
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