Name: 性差別とデータ。統計が女性を傷つけるとき (Sexism and data: When statistics hurt women | Crunched)
Uploaded: 2021-01-14T09:55:16.000Z
Duration: 9 min 52 s
Description: VoiceTubeの動画で発音を聞きながら英語表現を覚えよう！学べる英語：

We've both been looking at this book, Invisible Women

by Caroline Criado-Perez, which makes, I think,

a lot of strong points that averages, aggregate statistics,

are understood by most people to be representative of the whole.

But they actually contain a lot of biases,

I've been looking at transport as a topic.

does actually have some quite distinct gender-based patterns.

So I'm going to use some of our handy number blocks

now to show the different gender patterns you get in transport.

So this is representative of the whole EU; that's the EU 28.

and the percentage of women who travel around

on a typical day using different forms of transport.

They found that with cars, 59 per cent, ten and then

by car on a typical day versus 49 per cent of women,

So this is including buses and the underground trams, ferries,

that kind of stuff, and they found that 15 per cent of men

travelled by public transport on a typical day versus 22 per

If we then look at walking around, 11 per cent of men

walk on a typical day any substantial distance

So road use through private driving, through cars,

this becomes an issue when people just think of transport

all right, we're going to build loads of new roads,

is they're essentially most of that money is going to men.

Most of that money is not going to women.

Now, when you view that alongside the fact

that over the last seven years, the amount of money

the government gives to local authorities

to spend on their bus routes has almost halved,

it's gone from 375m which I'm just going to write here.

So spending on buses has gone from 375m in 2011 to 200m.

So what you're looking at there is spending on male

dominated forms of transport has continued to be strong,

And we're saying that this disproportionate allocation

of resources is because we see the data as gender neutral,

And so that creates some inherent sexism.

So people here, oh, more money for roads,

And they think this is just a cars versus buses thing.

Whereas embedded in that is a male versus female thing.

I can think of another example of a sort of gender data gap,

we'll say for example, in the UK, I think roughly 22

per cent of the population lives in poverty.

So we'll know how many children live in poverty,

how many adults, and how many pensioners.

And those are considered the most important statistics

you see that there is a considerable difference

between what share of the population that is poor are men

and what share of the population is poor women.

So these are poverty statistics from the UK's Department

We're looking at the percentage of the population that

end with the last financial year for which the data is

We started out at just 29 per cent, 30 per cent actually,

and then it went up and up, financial crisis,

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性差別とデータ。統計が女性を傷つけるとき (Sexism and data: When statistics hurt women | Crunched)

majority

average

aware

poverty