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The Delingpod: The James Delingpole Podcast

Norman Fenton

The Delingpod: The James Delingpole Podcast

James Delingpole

Society & Culture

4.71.6K Ratings

🗓️ 19 September 2022

⏱️ 77 minutes

🧾️ Download transcript

Summary

Support the Delingpod’s existence! by joining James' Locals: https://jamesdelingpole.locals.com/ Norman Fenton is Professor of Risk Information Management at Queen Mary London University and is also a Director of Agena, a company that specialises in risk management for critical systems. Norman is a mathematician by training whose current research focuses on critical decision-making and, in particular, on quantifying uncertainty. This typically involves analysing and predicting the probabilities of unknown events using causal, probabilistic models (Bayesian networks). This type of reasoning enables improved assessment by taking account of both statistical data where available and also expert judgment, providing more powerful insights and better decision making than is possible from purely data-driven solutions. Website: http://www.eecs.qmul.ac.uk/~norman/ Freedom isn’t free - James needs your support to continue creating The Delingpod. There are many ways you can show your support to James: Join the James Delingpole Community as a paid supporter at: jamesdelingpole.locals.com Support James monthly at: subscribestar.com/jamesdelingpole Support James’ Writing at: substack.com/jamesdelingpole www.delingpoleworld.com Buy James a Coffee at: buymeacoffee.com/jamesdelingpole Find full episodes of The Delingpod for free (and leave a 5-star rating) on: Apple Podcasts: https://podcasts.apple.com/gb/podcast/the-delingpod-the-james-delingpole-podcast/id1449753062 Spotify: https://open.spotify.com/show/7bdfnyRzzeQsAZQ6OT9e7G?si=a21dc71c7a144f48 Podbean: delingpole.podbean.com Odysee: https://odysee.com/@JamesDelingpoleChannel:0 Rumble: https://rumble.com/user/JamesDelingpole BitChute: https://www.bitchute.com/channel/Zxu5yMwNWTbs/ YouTube: https://www.youtube.com/c/TheJamesDelingpoleChannel Follow James on Social Media: Twitter: twitter.com/jamesdelingpole Instagram: instagram.com/delingpodclips GETTR: gettr.com/jamesdelingpole Telegram: https://t.me/+dAx_7JX7WQlwYzVk

Transcript

Click on a timestamp to play from that location

0:00.0

Welcome to the Dulling Paws with me, James Dulling Paws, and I know I always say I'm excited

0:19.0

about this week's special guest, but I'm really, I really am and I'm really looking

0:22.9

forward to talking to Professor Norman Fenton, who is Professor of Risk and Infamy

0:29.9

Management. Is that right so far? At Queen Mary University London. That's correct, yep.

0:36.5

Good. I've been I've been looking at your Twitter feed the last the last sort of 18 months

0:44.1

and I've been thinking there is a man who's who's got to be on the brink of retirement

0:49.4

because there's no way that he could be saying some of this brave stuff you've been saying

0:53.9

if you were early on in your career, could you? That's right, and I'm very I'm already

1:02.0

at retirement age, so retirement is a distinct possibility and I couldn't so if it gets

1:10.6

a stage where it's too uncomfortable to carry on the university then I have to have

1:17.0

that sort of comfort to fall back on. It would be career ending certainly to be saying

1:24.6

the type of things that I've been saying over the last two years from an academic perspective.

1:30.8

Yeah, well we'll come to what you've been saying in a moment, but I have to say it's it's

1:35.8

a horrible indictment of our times that what you're saying is remotely controversial

1:41.7

because all you've been doing is doing your job, which is analysis isn't it? You've just

1:46.2

been looking at the. Yeah, we've just just been looking at publicly, publicly available

1:51.2

data, data that comes from freedom of information requests. It's it's mainly a government data,

1:58.6

but we try and dig below the surface, you know, we don't unlike what the government was

2:03.4

doing with this data that's available to them, which is just printing out, publishing numbers

2:10.3

of COVID cases and seeing these exponentially rise, etc. We look at reasons why these things

2:15.7

might be rising other than the possibility that it's because there's an increase in infection.

2:21.8

Indeed, just as an obvious example, which is one of the things that first concerned me,

...

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