Back in 2003,
the UK government carried out the survey.
And it was a survey that measured levels of numeracy in the population.
And they were shocked to find out that
for every 100 working age adults in the country,
47 of them lacked level 1 numeracy skills.
Now level 1 numeracy skills–
that’s low-end GCSE score.
计算能力包括百分比 分数 小数的计算
It’s the ability to deal with fractions, percentages and decimals.
So this figure prompted a lot of hand-wringing in Whitehall.
Policies were changed,
investments were made,
and then they ran the survey again in 2011.
So can you guess what happened to this number?
It went up to 49.
And in fact, when I reported this figure in the FT,
one of our readers joked and said,
“This figure is only shocking to 51% of the population.”
But I preferred actually the reaction of a school child
when I presented at a school this information,
who raised their hand and said,
“How do we know that the person who made that number isn’t one of the 49% either?”
there’s a numeracy issue,
because these are important skills for life,
and a lot of the changes that we want to introduce
in this century involve us becoming more comfortable with numbers.
Now it’s not just an English problem.
OECD this year released some figures looking at numeracy in young people,
and leading the way, the USA–
nearly 40 percent of young people in the US have low numeracy.
Now England is there too,
but so there’s seven OECD countries with figures above 20 percent.
And that is a problem,
because it doesn’t have to be that way.
If you look at the far end of this graph,
you can see the Netherlands and Korea are in single figures.
So there’s definitely a numeracy problem that we want to address.
Now as useful as studies like these are,
I think they really we risk herding people inadvertently into one of two categories;
that there are two kinds of people:
those people that are comfortable with numbers, that can do numbers,
and the people who can’t.
And what I’m trying to talk about here today is to say that I believe that is a false dichotomy.
It’s not an immutable pairing.
I think you don’t have to have tremendously high levels of numeracy to be inspired by numbers,
and that should be the starting point to the journey ahead.
And one of the ways in which we can begin that journey,
for me is looking at statistics.
Now I am the first to acknowledge that statistics
has got somewhat of an image problem.
It’s the part of mathematics that even mathematicians don’t particularly like,
because whereas the rest of math is all about precision and certainty,
statistics is almost the reverse of that.
But actually, you know, I was a late convert to the world of statistics myself.
If you’d asked my undergraduate professors
what two subjects would I be least likely to excel in after university,
they’d have told you statistics and computer programming,
and yet here I am about to show you some statistical graphics that I programmed.
So what inspired that change in me?
What made me think that statistics is actually an interesting thing?
It’s really because statistics are about us.
If you look at the etymology of the word statistics,
it’s the science of dealing with data about the state or the community that we live in.
So statistics are about us as a group,
not us as individuals.
And I think as social animals,
we share this fascination about how we as individuals relate to our groups, to our peers.
And statistics in this way are at their most powerful when they surprise us.
And there’s been some really wonderful survey carried out recently by Ipsos MORI the last few years.
They did a survey of over 1,000 adults in the UK,
and said, okay for every 100 people in England and Wales,
how many of them are Muslim?
Now the average answer from this survey,
which was supposed to be representative of the total population, was 24.
That’s what people thought.
British people think 24 out of every 100 people in the country are Muslim.
Now official figures reveal that figure to be about five.
So there’s this big variation between what we think, our perception,
and the reality as given by statistics.
And I think that’s interesting. What could possibly be causing that misperception?
And I was so thrilled with the study,
I started to take questions out in presentations. I was referring to it.
Now I did a presentation at St. Paul’s School for Girls in Hammersmith,
and I had an audience rather like this,
except it was in comprised entirely of sixth-form girls.
And I said,
“Girls how many teenage girls do you think the British public think get pregnant every year?”
And the girls were apoplectic when I said
the British public think of 15 out of every 100 teenage girls get pregnant in the year.
And they had every right to be angry,
because in fact I’d have to have closer to 200 dots before I could color one in,
in terms of what the official figures tell us.
And rather like numeracy,
this is not just an English problem.
Ipsos MORI expanded this survey in recent years to go across the world.
And so they asked Saudi Arabians,
for every 100 adults in your country,
how many of them are overweight or obese?
And the average answer from the Saudis
was just over a quarter.
That’s what they thought. Just over a quarter of adults overweight or obese.
The official figures show, actually it’s nearer to three-quarters.
So again, a big variation.
And I love this one: they asked in Japan, they asked the Japanese,
for every 100 Japanese people,
how many of them live in rural areas?
The average again this is the average was about a 50-50 split, just over halfway.
They thought 56 out of every 100 Japanese people lived in rural areas.
The official figure is seven.
So extraordinary variations, and surprising to some,
but not surprising to people who’ve read the work of Daniel Kahneman,
for example, the Nobel-winning economist.
He and his colleague Amos Tversky, spent
years researching this disjoint between what people perceive and the reality,
the fact that people are actually pretty poor intuitive statisticians.
And there are many reasons for this.
Individual experiences, certainly, can influence our perceptions,
but so too, can things like the media reporting things by exception,
rather than what’s normal.
Kahneman had a nice way of referring to that.
He said, “we can be blind to the obvious”–
so we’ve got the numbers wrong–
“but we can be blind to our blindness about it.”
And then has enormous repercussions for decision making.
So at the statistics office while this is all going on,
I thought this is really interesting.
I said, you know, this is clearly a global problem,
but maybe geography is the issue here.
You know these were questions that were all about, how well do you know your country?
So in this case, it’s, okay, you know, how well do you know 64 million people?
Not very well, it turns out, you know, I can’t do that.
So I had an idea, which was
to think about the same sort of approach but to think about it in a very local sense.
Is this a local?
If we reframe the questions and say,
how well do you know your local area,
would your answers be any more accurate?
So I devised a quiz:
How well do you know your area?
It’s a simple Web app.
You put in a post code and then it will ask you questions based on census data for your local area.
And I was very conscious in designing this.
I wanted to make it open to the widest possible range of people,
not just the 49% who can get the numbers.
I wanted everyone to engage with it.
So for the design of the quiz,
I was inspired by the isotypes of Otto Neurath from the 1920s and 30s.
Now these are methods for representing numbers using repeating icons.
And if you like the numbers are there, but they sit in the background.
在不使用百分比 分数 比率等术语的情况下
So it’s a great way of representing quantity without
resorting to using terms like percentage, fractions and ratios.
So here’s the quiz.
The layout of the quiz is, you have your repeating icons on the left-hand side there,
and a map showing you the area we’re asking you questions about on the right-hand side.
There are seven questions.
Each question there’s a possible answer between 0 and 100,
and at the end of the quiz, you get an overall score between 0 and 100.
And so because this is TEDxExeter,
I thought we would have a quick look at the quiz for the first few questions of Exeter.
So the first question is: for every 100 people,
how many are aged under 16?
Now I don’t know Exeter very well at all, so I had a guess at this,
but it gives you an idea of how this quiz works.
You drag the slider to highlight your icons,
and then just click Submit to answer,
and we animate away the difference between your answer and reality.
And it turns out, I was a pretty terrible guess: 5.
How about the next question?
This is asking about what the average age is,
so the age at which half the population are younger and half the population are older.
And I thought 35–that sounds middle-aged to me.
Actually, in Exeter, is incredibly young,
and I’d underestimated the impact of the university in this area.
The questions get harder as you go through.
So this one’s now asking about homeownership:
For every 100 households, how many are owned with a mortgage or loan?
And I hedged my bets here, because I didn’t want to be more than 50 out on the answer.
And actually, these get harder, these questions,
because when you’re in an area, when you’re in a community, things like age–
there are clues to whether a population is old or young.
Just by looking around the area, you can see it.
Something like homeownership is much more difficult to see,
so we revert to our own heuristics,
our own biases about how many people we think own their own homes.
Now the truth is,
when we published this quiz,
the census data that it’s based on was already a few years old.
We’ve had online applications that allow you to put in a post code and get statistics back for years.
所以某种意义上 这些数据落后了 不够新
So in some senses, this was all a little bit old and not necessarily new.
But I was interested to see
what reaction we might get by gamifying the data in the way that we have,
by using animation and playing on the fact that people have their own preconceptions.
It turns out the reaction was…
was more than I could have hoped for.
It was a long-held ambition of mine to bring down a statistics website due to public demand.
This URL contains the words statistics, gov, and UK,
which are three of people’s least favourite words in a URL.
And the amazing thing about this was that the website came down at quarter to 10 at night,
because people were actually engaging with this data of their own free will,
using their own personal time.
I was very interested to see that we got something like a quarter of a million
people playing the quiz within the space of 48 hours of launching it.
And it sparked an enormous discussion online, on social media,
which was largely dominated by people having fun with their misconceptions,
which is something that I couldn’t have hoped for any better, in some respects.
I also liked the fact that people started sending it to politicians.
How well do you know the area you claim to represent?
And then just to finish,
going back to the two kinds of people,
I thought it would be really interesting to see how people who are good with numbers would do on this quiz.
The national statistician of England and Wales,
John Pillinger, you would expect he would be pretty good.
He got 44 for his own area.
admittedly, after a glass of wine–
36, even worse, okay.
It just shows you that the numbers can inspire us all. They can surprise us all.
So very often we talk about statistics as being the science of uncertainty.
My parting thought for today is:
actually, statistics is the science of us.
And that’s why we should be fascinated by numbers.
Thank you very much.