Episode Transcript
Transcripts are displayed as originally observed. Some content, including advertisements may have changed.
Use Ctrl + F to search
0:00
Fifteen years ago, 23-year-old
0:02
Norwegian student Martina Vik Magnussen
0:05
was killed in an apartment near
0:07
Mayfair. 23-year-old Martina Vik
0:09
Magnussen was found partially buried in the
0:11
basement. Before being questioned, the
0:14
only suspect in the case had fled the UK
0:16
to Yemen. I made a promise to Martina's
0:18
family to find out what happened. Murder
0:21
in Mayfair, part of the documentary Find
0:24
It wherever you get your BBC podcasts.
0:27
Thank you for downloading the More or Less podcast.
0:30
We're your weekly guide to the numbers in the
0:32
news and in life. I'm
0:35
Ben Carter.
0:44
This week we're talking about divorce and
0:47
how we can measure it. India 1%, Vietnam 7%,
0:50
Tajikistan 10%, Iran...
0:54
This is a recent tweet that went
0:56
viral which claims to outline divorce
0:59
rates around the world. Luxembourg 79%,
1:01
Spain 85%, Portugal 94%.
1:11
The tweet, on the World of Statistics
1:13
account, ranked 33 countries
1:15
and their supposed divorce rates from
1:17
lowest to highest. The lowest
1:20
rate was for India with a divorce rate
1:22
of just 1%. While
1:24
Portugal ranked the highest with a whopping 94%.
1:29
The tweet has had a huge 35 million
1:31
views and thousands of comments.
1:34
But there's no source attached to these extraordinary
1:36
numbers and the account hasn't
1:38
responded to our requests for more information.
1:42
So we've taken it upon ourselves to
1:44
investigate. First
1:46
of all, I think we should be clear what we
1:49
are measuring. When you hear a divorce
1:51
rate of 50%, you probably
1:53
think that means half of marriages end
1:55
in divorce.
1:56
But to get that kind of figure, you need
1:59
to follow a marriage and to... until it ends with either
2:01
the death of one of the partners or
2:03
in divorce. That takes a
2:05
long time and we don't have that data.
2:09
We showed the tweet to Dr Cheng Tong,
2:11
Leah Wang from the Institute for the Future
2:13
in San Francisco. She
2:16
says that without a source, it's impossible
2:18
to say for sure where these numbers came
2:20
from. But she can make
2:22
an educated guess.
2:24
So it's kind of vague, but based
2:27
on my experience, seeing some
2:29
similarly shockingly high,
2:32
quote-unquote, divorce rate, my
2:34
guess is that they can be
2:36
calculated by having
2:38
the number of divorces
2:41
registered in a certain year
2:43
divided by the
2:45
number of marriages registered
2:48
in that same year. And
2:50
we don't know what year it is
2:52
from. So it's a fairly straightforward
2:55
way to calculate a divorce rate. But
2:57
according to Dr. Leah Wang, it's
2:59
not the right way. The problem
3:01
with the numbers on the tweet is
3:03
that it's calculated by the numbers
3:06
of divorces happen in a year divided
3:09
by the numbers of marriage in the same year. But
3:12
really, you're comparing two different
3:14
things because the
3:16
numbers of divorces in
3:18
a certain year does not
3:20
necessarily come from the marriage that
3:23
take place in the same year.
3:25
It's granted that some
3:27
marriage may dissolve in
3:30
less than a year. But you
3:32
can clearly understand
3:34
that not all divorces
3:37
happen in a year come from those
3:39
marriage that take place in the same year.
3:45
So instead of looking at whether marriages end
3:47
in divorce, a figure calculated
3:49
this way is really just comparing
3:51
the number of marriages in a year to the
3:54
number of divorces in that year. But
3:56
this can give you some weird results.
3:59
town which in one year has more divorces
4:02
than marriages. That might produce
4:04
figures suggesting a 120%
4:06
divorce rate. There
4:08
are also other factors that distort these
4:10
figures. The tweet says Portugal
4:13
has a divorce rate of 94%. We
4:15
can't source that figure at all ourselves.
4:19
There is another figure in the public domain for Portugal
4:21
which is 91% for the year 2020, calculated
4:25
by comparing the number of marriages in Portugal
4:28
to the number of divorces. But as I'm
4:30
sure we'll end up saying over and over again
4:32
on more or less, data collected
4:34
in 2020 needs to be treated
4:37
with the utmost caution
4:38
because of the global pandemic.
4:40
Here's
4:42
Marina Adshaid, an assistant professor
4:45
at the Vancouver School of Economics. If
4:48
it's in 2020, how many people were getting
4:50
married in 2020, right? At 2021 even, not upper
4:55
of any people were getting married because it was so difficult
4:57
in that time to have weddings.
5:01
And so a drop in the number of
5:03
marriages makes it look like the divorce
5:05
rate is going up. It looks like marriage
5:07
quality is declining and people aren't staying together
5:09
but it's really just a decline in the
5:11
number of marriages. So what is
5:13
the best way to compare divorce rates between
5:16
countries? There is another broader
5:18
measure known as the crude divorce rate which
5:21
is the number of divorces per thousand people
5:23
per year. That's used by a lot
5:25
of countries and international organisations, again
5:28
because the figures are often easier to come
5:30
by than other methods.
5:32
If you look at these figures, Belarus
5:35
and Russia have the highest rate of divorce
5:37
per person. Portugal is
5:39
nothing special, in fact it's actually
5:41
lower than the European Union average. India
5:44
may well have the lowest rate but
5:46
it's difficult to be certain because there
5:48
are collection.
5:51
And that brings us to the broader question
5:53
of how difficult it is to make comparisons
5:56
between divorce rates in different countries
5:58
with different legal systems. and social
6:00
expectations.
6:02
Back to Dr. Leah Wang. When you're
6:04
talking about marriage and divorce,
6:06
it can mean very different thing
6:09
for people in
6:11
Asia and in Europe.
6:14
For example, they face very different child
6:17
custody issues, alimony issues,
6:20
division of property issues. So
6:22
that can mean very different thing.
6:25
Coming back, then, to our original tweet, that
6:27
might help explain the very low Indian
6:29
figure of 1%. It's a
6:31
place where divorce is more heavily frowned upon
6:34
and there isn't a unified method of recording
6:36
divorces across the country.
6:38
But is the tweet and the information in
6:40
it actually doing anyone any
6:43
favours? Marina Adshay doesn't
6:45
think so.
6:46
I don't like the tweet.
6:48
And I'm going to tell you why I don't like the tweet.
6:51
It's not because I don't think people should know the evidence,
6:54
but I think that the tweet gives people misinformation.
6:57
And people make meaningful life
6:59
decisions based on that
7:01
type of information. I can't tell you how many
7:03
times people have said to me, I'm never
7:05
going to get married because 50% of marriages
7:08
end in divorce. Well,
7:10
that's absurd, right? I mean, first
7:12
of all, it's not true. That's
7:15
not accurate data. But also, nobody
7:17
is like the representative person. You
7:20
are not the average person. And
7:22
we know that different groups of people have very
7:24
different experiences in marriage. So we know
7:27
that as populations get better educated,
7:29
divorce rates fall.
7:31
We know that when people wait
7:33
longer to get married, people
7:36
are more likely to stay married.
7:38
That half of marriages end in divorce
7:40
figure isn't true. Quite
7:43
a lot of Western countries have a 40% divorce rate
7:45
after 30 years. But
7:47
according to Marina Adshaid, divorce
7:49
rates on the whole appear to be declining.
7:52
One of the reasons why divorce rates have fallen so much,
7:55
which is just not apparent
7:57
in that tweet, is that divorce rates
7:59
in...
7:59
North America and many
8:02
other countries are back to the
8:04
levels that they were in the 1970s. We
8:07
saw a big surge in the 80s and 90s
8:09
when
8:09
divorce laws were becoming more liberal, but
8:12
divorce rates have been falling pretty
8:14
consistently for the last 20 years. And
8:17
that's because for a variety of reasons,
8:19
but the main one is that people
8:21
are delaying getting married. They're
8:24
waiting until they're more established.
8:27
They're having social lives in their 20s,
8:30
they're meeting other people and they're looking for
8:33
more meaningful connections.
8:36
And those marriages are more likely to last.
8:39
And so we've seen this big decline in divorce
8:41
rates.
8:42
That fact that we keep touting that 50% number
8:46
for countries where we've seen divorce rates, I think really
8:48
belies the fact that marriages
8:51
actually have improved. The quality of marriages
8:53
is improving over time
8:55
as people wait a little bit longer
8:57
to get married. Our
8:59
thanks to Dr Cheng Tong Lea Wang from
9:01
the Institute for the Future in San Francisco
9:04
and Marina Adshaid, assistant professor
9:07
at the Vancouver School of Economics. That's
9:10
it for this edition of More or Less. We'll
9:12
be back next week.
9:13
If you want to get in touch, you can email us
9:16
at moreorless at bbc.co.uk.
9:20
But for now,
9:21
goodbye. In 2008,
9:26
23-year-old Norwegian student
9:29
Martina Vik Magnussen went
9:31
missing after a night out with friends in
9:33
London. I wonder what on
9:35
earth could have happened. We were so
9:37
obsessed with just finding her. Then...
9:41
Police investigating the
9:41
murder of a Norwegian socialite in central
9:44
London. Hours after her death, the
9:46
only suspect in the case fled the UK
9:49
to Yemen. His name is Farouk
9:51
Abdul-Haq. He's never been questioned
9:53
by the police. Nobody's been able
9:55
to speak to him. Until now.
9:57
I'm
10:03
Noelle McAfee and I've been following
10:05
this story since Martina was killed,
10:07
making a promise to Martina's family
10:09
to find out what happened. Murder
10:12
in Mayfair.
10:13
You can listen to the whole story now. Search
10:16
for the documentary wherever you get your
10:19
BBC podcasts.
Podchaser is the ultimate destination for podcast data, search, and discovery. Learn More