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BONUS: Storks, Smoking and the Power of Doubt

BONUS: Storks, Smoking and the Power of Doubt

BonusReleased Wednesday, 16th September 2020
 3 people rated this episode
BONUS: Storks, Smoking and the Power of Doubt

BONUS: Storks, Smoking and the Power of Doubt

BONUS: Storks, Smoking and the Power of Doubt

BONUS: Storks, Smoking and the Power of Doubt

BonusWednesday, 16th September 2020
 3 people rated this episode
Rate Episode

Episode Transcript

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0:15

Pushkin. Hi,

0:21

Tim Harford here with two pieces

0:23

of news and a brand new

0:26

mini cautionary tale for you. News

0:28

headline number one. We're back in

0:30

the studio recording a new Monster

0:33

season of fourteen episodes

0:36

of Cautionary Tales. There will

0:38

be wonderful actors, hilarious calamities

0:40

and tragic catastrophes Cautionary

0:43

Tales Season two. Stay

0:46

tuned. News headline

0:48

number two. I have a brand

0:51

new book coming. If you're listening in

0:53

the US or Canada, it's out early

0:55

next year and it's called The Data

0:57

Detective. It's never too early

1:00

to pre order, so please consider doing

1:02

that. But if you're listening anywhere

1:04

else in the world, the book is out

1:07

right now and it's called How

1:09

to Make the World Add Up. On

1:11

the surface, it's a book about statistics,

1:14

but really it's a book about how to think

1:16

clearly about the world. And

1:18

if you want to know what the book is really about, gather

1:22

close. I'm Tim

1:24

Harford and this is

1:26

a special mini episode of

1:29

Cautionary Tales. You

1:38

can make an estimate of how many children

1:40

have been born into a Dutch or Danish

1:42

family by counting the storks nests

1:44

on the roof of their house. In statistical

1:47

terminology, it would be said that a positive

1:49

correlation has been found to exist between

1:51

these two things. These

1:56

are the words of Daryl Huff, the

1:58

author of the most popular book about

2:01

statistics ever written, How

2:03

to Lie with Statistics. But

2:06

of course, storks do not actually

2:08

deliver baby is, no matter how

2:10

strong the correlation may be. Half

2:13

explains, big houses attract

2:15

big and potentially big families, and

2:17

big houses have more chimney pots on

2:19

which storks may nest.

2:22

Of course, sometimes

2:24

it seems you can prove anything

2:27

with statistics, especially

2:29

things that aren't true. Darryl

2:31

Huff's little book is a master class in

2:33

skepticism. He exposes

2:35

mistakes, half truths, and outright

2:38

lies. Why, he explains,

2:41

the crooks already know these tricks, honest

2:44

men must learn them in self defense. Daryl

2:47

Hulf made statistics seem like

2:49

a game, or perhaps a stage

2:51

magician's trick, all could

2:53

fun, but never to be trusted. And

2:56

I worry that we're starting to trust

2:59

nobody. We're starting to believe

3:01

that lying with statistics is all

3:03

anyone ever does. But skepticism

3:06

can easily curdle into cynicism,

3:09

and cynicism can be corrosive

3:13

after all. In nineteen fifty four, the

3:15

very same year that Half published

3:18

How To Lie With Statistics, two

3:20

researchers, Richard Doll and

3:22

Austin Bradford Hill, produced

3:25

one of the first convincing demonstrations

3:28

that smoking cigarettes caused

3:30

lung cancer. They couldn't have figured

3:32

that out without statistics. Even

3:35

to notice the dramatic increase in lung

3:37

cancer rates in the mid twentieth century

3:40

required a statistical view of the

3:42

world. So what

3:44

Darrell Half saw as a trick, Richard

3:47

Doll and Austin Bradford Hill saw

3:49

as a tool, and a tool

3:52

that has saved many millions

3:54

of lives. Two

3:56

visions of statistics had emerged

3:58

at the same time, and they

4:00

very quickly came into conflict, because

4:03

as the evidence on smoking and

4:06

cancer emerged, the tobacco

4:08

companies fought back. When

4:11

their product was so dangerous, so

4:13

demonstrably dangerous, how

4:16

on earth could they persuade people to

4:18

keep smoking? In

4:21

a stroke of twisted genius,

4:23

they realized the answer scientific

4:26

evidence was the enemy, so

4:28

they had to give people reason to doubt

4:30

that evidence without attacking

4:33

it head on. They chose to

4:35

emphasize uncertainty, the

4:37

fact that experts disagree and

4:40

to call for more research. Before anyone

4:42

did anything hasty, they

4:45

manufactured doubt,

4:48

and it turns out that doubt is

4:50

a really easy product to make. A

4:54

couple of decades ago, two psychologists

4:56

carry Edwards and Edward Smith, conducted

4:59

an experiment to test how people

5:01

felt about all sorts of politically

5:04

fraught questions, including

5:06

abortion rights, smacking children,

5:09

and the death penalty for under sixteens.

5:12

They invited people to produce as many

5:14

arguments as they could in favor

5:16

of or against the conclusion, given

5:19

three minutes per topic. Of

5:22

course, people found it easier to produce

5:24

arguments that backed up what they already believed.

5:27

Lots of researchers have found that, but

5:30

more strikingly, Edwards and Smith found

5:32

that disbelief seemed

5:34

to flow more fluidly than belief.

5:37

It's much easier to argue against

5:39

positions you dislike than

5:41

in favor of positions you support.

5:44

Doubt has a special kind of

5:46

power, and it is the easiest

5:49

thing in the world to suggest that you

5:51

should doubt what the statistics are telling

5:53

you. This is why the simplest

5:55

move in any argument today is

5:58

to encourage people to believe

6:00

nothing doubt

6:04

is a powerful weapon. Now,

6:07

statistics are a natural rural target,

6:10

but honest statistics need to be defended

6:13

because while it's easy to lie with

6:15

statistics, it's even easier

6:17

to lie without them. And there

6:19

are plenty of things in this world, from

6:21

the link between smoking and cancer to

6:24

how to deal with the coronavirus epidemic,

6:27

that we simply can't begin to understand

6:29

without statistics. In a

6:31

complex world, they are an

6:33

essential tool. In

6:36

the spring of nineteen sixty five, a

6:39

US Senate committee was pondering

6:41

the life or death matter of

6:43

whether to put a health warning on packets

6:45

of cigarettes. An

6:47

expert witness appeared, and he

6:50

wanted to throw doubt on the scientific

6:52

evidence, so he

6:54

turned to the topic of storks

6:57

and babies. It turns out

6:59

he said that households with more children

7:02

also have more storks on their roofs.

7:05

That old story about babies being

7:07

delivered by storks was true,

7:09

the expert went on, of course

7:11

it wasn't. Correlation is

7:14

not causation, and

7:16

similarly, just because smoking

7:19

was correlated with lung cancer didn't

7:21

mean, not for a moment, that

7:24

smoking caused cancer. Do

7:27

you honestly think there is as casual

7:30

a relationship between statistics linking

7:32

smoking with disease as there is about

7:34

storks, asked the committee

7:37

chair. The expert witness

7:39

replied that the two seemed

7:41

to me the same. The

7:44

witness's name was

7:46

Darryl Huff. He had

7:48

been paid by the tobacco lobby to do what he

7:50

did best, weave together witty

7:52

examples, some statistical savvy,

7:55

and a certain amount of cynicism to

7:57

cast doubt on the idea that cigarettes

8:00

were dangerous. He was even working

8:02

on a sequel to his masterpiece, although

8:04

it was never published. The sequel's

8:07

name was How to Lie

8:09

with Smoking Statistics.

8:13

I understand that statistics can seem

8:15

intimidating, and they are often

8:17

used deceitfully, but we mustn't

8:20

give way to cynicism or

8:22

feel helpless under the deluge of numbers.

8:25

Understanding statistical claims doesn't

8:27

require a deep technical background.

8:30

If you're able to think, then you're able

8:32

to think sensibly about

8:34

statistical claims, which

8:38

is why I've written a book about how to think

8:40

more clearly about numbers and about

8:42

the world. If you're listening in the US

8:44

or Canada, that book is called The Data

8:47

Detective, and it's out early

8:49

next year, and if you're listening anywhere

8:51

else. The book is called How to Make

8:53

the World Add Up, and it's out

8:55

now as a book, an e book, and as

8:58

an audiobook read by me. If

9:01

you like what I do here on Cautionary Tales,

9:03

I really think you're going to love the book. The

9:07

world is an amazing place, and

9:09

these days, whatever you're interested in,

9:11

the chances are you'll understand it much

9:13

better through the lens of statistics.

9:17

Don't be cynical, don't assume

9:19

it's all a lie or a trick. Don't

9:22

be afraid to pick up this statistical

9:24

telescope and gaze around.

9:32

This mini episode of Cautionary Tales

9:35

was written and read by me Tim

9:37

Harford. The producer was Ryan

9:39

Dilley, and the music and sound design

9:42

by Pascal Wise. Cautionary

9:45

Tales is a Pushkin Industry's

9:47

production. I

10:10

don't don't be

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