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Slate Money - Cautionary Tales

Slate News

Slate Podcasts

News, News Commentary, Politics

4.56K Ratings

🗓️ 28 December 2019

⏱️ 32 minutes

🧾️ Download transcript

Summary

Tim Harford joins Slate Money to discuss his new podcast Cautionary Tales, Christmas cards and the black market for Chinese sand. 


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Transcript

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0:00.0

Hello and welcome to the cautionary tales edition of Slate Money, your guide to business, finance,

0:19.9

and all manner of weird two and a half thousand

0:22.9

year old cautionary tales. I'm Felix Hammond of Axios, and I'm in a fabulous recording studio in

0:29.7

Oxfordshire with none other than Mr. Tim Harford. Hi, Tim. What are you plugging?

0:36.4

So, as you know, Felix, I work for the Financial Times,

0:39.4

but I am plugging a new podcast called Cautionary Tales. It is out in a first season of eight

0:46.4

episodes and it is full of stories about all kinds of mishaps, fiascos, heists, crashes, disasters, catastrophes, and in each case, a little bit of

0:58.6

zesty social science. What can we actually learn from what went wrong, from these true stories

1:04.4

of disaster? And how can we avoid meeting such terrible fates ourselves?

1:09.5

And of course, we are joined from Brooklyn by Anna Schumanski

1:13.5

of Breaking Views. Hi, Anna. Hello. We are going to talk about all of these weird cautionary tales,

1:20.2

or at least a couple of them on this episode. We're going to talk about Christmas cards,

1:24.2

because tis the season. And I kind of want to talk about the black market in

1:30.1

Chinese sand, which is one of my favorite stories of the year. All of that coming up on Slate

1:37.0

money. So, Tim, you are applying social science and some kind of economics and that kind of thing to a bunch of stories of, as you say, thefts and disasters.

1:50.3

And whenever people do this, I think of a conversation I had with Danny Kahneman once, the great economist and behavioral economist.

1:58.5

Well, the psychologist, really we should say, but a psychologist so awesome they gave

2:02.4

him the Nobel Prize in economics anyway.

2:04.0

Exactly. And he did a whole bunch of research into our biases and the things which we kind

2:10.8

of just wind up doing even though, like, really we know we shouldn't do them and probably

2:16.1

don't even want to do them.

2:20.1

And I said, well, you've discovered all of these biases.

...

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