Wikipedia and the War on Science: Bret Speaks with Norman Fenton

DarkHorse Podcast

Bret Weinstein & Heather Heying

Natural Sciences, Society & Culture, News, Adaptation, Modernity, Culture, Politics, Science, Evolutionary Biology

4.6 • 5.3K Ratings

🗓️ 20 August 2022

⏱️ 111 minutes

🔗️ Recording | iTunes | RSS

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Summary

Bret speaks with Norman Fenton on the failure of academia and our medical system that Covid has revealed. They discuss how Wikipedia, the greatest encyclopedia to date, has become a political weapon, and how big an issue this actually is.

Find Norman at his website: https://www.normanfenton.com/

Find Norman on Twitter: https://twitter.com/profnfenton?s=20&t=zC_ddM-x2Y7I_vEddufszA

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Timestamps:

(00:00) Introduction

(02:53) Sponsors

(06:12) Testing accuracy

(14:35) Prosecutor's fallacy

(16:50) Inverse COVID response and Great Reset

(24:50) Climate change skepticism

(31:00) Norman's Wikipedia

(48:35) Bret's Wikipedia and David Gorski

(56:30) Motives of mainstream narrative operatives

(01:04:25) Message to Jimmy Wales

(01:09:30) Times article and Oxford-AZ Vaccine

(01:22:32) How many people are unvaccinated?

(01:27:50) BBC's "Unvaccinated"

(01:32:00) Deborah Birx and Fauci revelations

(01:34:30) Peer review

(01:49:13) Wrap up

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Transcript

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0:00.0	a group of students went to the head of school and said, we're not going to be, we refuse to be
0:05.5	taught by this misinformation anti-vaxxer guy and even though it's a compulsory module,
0:10.8	we demand to be moved to another module. I mean, you can never believe this has happened and the fact
0:17.2	that I don't get supported by the students of the ones who are apparently in the right,
0:25.2	it's to be concerned about this, the lack of support, the lack of support, I mean, not just that,
0:30.3	but the lack of support for what, you know, the kind of nonsense I've had to put up with throughout
0:36.4	this has been, it's just, it's remarkable how this, you just realise that there's nobody in
0:41.5	equity, you've got a few close colleagues, you trust, right, beyond that, you absolutely know
0:47.7	that you're not going to get any support. Hey folks, welcome to the Dark Horse podcast. I am very
0:56.1	excited today to be sitting with Professor Norman Fenton of Queen Mary University London. He has a
1:03.6	PhD in mathematics. He is Professor of Risk Information Management in the Department of Electronic
1:11.9	Engineering and Computer Science. Did I get that all right, Norman? It's right, come. Well, welcome to
1:16.8	the Dark Horse. I should say, there's a lot more to say about your credentials and qualifications,
1:24.8	but if I were to try to be exhaustive about it, it would take up all the time we have, so I'm not
1:29.3	going to do that, but suffice it to say people can check out your CV on your website, we will
1:36.0	put a link to that website. And probably we should also say, I don't think it plays an important
1:43.0	role, but you also exist in a business context. And so just in the interest of full disclosure,
1:49.5	do you want to say anything about it? Yeah, so I'm director of a company,
1:54.1	Couragina, which specializes in software for risk management using probabilistic
2:01.5	Bayesian methods. Yes, and I was going to say that you are, is it fair to say that you are a
2:06.7	Bayesian in your approach? Yes, yes, very much. Not by, you know, not starting from that point,
2:15.1	but you know, because I, you know, I became a Bayesian because we were looking at trying to
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