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This BBC podcast is supported
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by ads outside the UK.
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I'm Zing Singh and I'm Simon Jack and
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together we host Good Bad billionaire the
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podcast exploring the lives of some
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of the world's richest people in the
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new season We're setting our sights on some
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big names. Yep LeBron James and Martha
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Stewart to name just a few and as
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always Simon and I are trying to decide
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whether we think they're good bad or just
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another billionaire that's good bad billionaire
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from the BBC world service Listen
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now wherever you get your BBC
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podcasts VBC
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Sounds. Music, radio, podcasts.
0:41
Hello and welcome to More
0:43
or Less. We are the
0:45
very model of a modern
0:47
new statistic show. Expect economics,
0:49
fact checks and many cheerful
0:51
facts about the square of
0:53
the hypotenuse. And in particular,
0:55
expect us to investigate the
0:57
claim that one in 12
0:59
Londoners is an illegal immigrant,
1:01
which comes from, well, not the
1:04
source you might expect. And...
1:06
The claim that New Zealand
1:08
apples are particularly environmentally friendly,
1:10
which comes from exactly the
1:12
source you might expect, namely
1:14
New Zealand. Our loyal listeners
1:16
are wondering whether VAT on
1:18
private schools really has boosted
1:20
the rate of inflation, or
1:22
if that's just a media
1:24
concoction. But first, it's been
1:26
12 weeks since President Trump
1:28
announced the formation of Doge,
1:30
the so-called Department of Government
1:32
of Government Efficiency. Led or
1:34
not led but definitely quite
1:36
led by his special advisor
1:38
Elon Musk. Musk claimed that
1:40
he could save the US
1:42
government two trillion dollars a
1:45
year. We asked Linda Bilmez,
1:47
someone who was part of
1:49
the team who actually balanced
1:51
the US budget under President
1:53
Clinton, whether this was plausible.
1:55
The two trillion number over a
1:58
decade is a realistic goal. but
2:00
the only way you could cut
2:02
two trillion out of the budget
2:04
in a year is in the
2:06
shooting yourself in the head kind
2:08
of mechanism. Cool. Since then there
2:10
have been a raft of
2:12
cuts to public spending and
2:14
claims about various acts of
2:17
fraud that probably haven't happened.
2:19
To celebrate their achievement we
2:21
have compiled a lovely little
2:24
presentation. I do hope you
2:26
enjoy. In
2:29
the last week of January,
2:31
the USAID website went offline
2:33
and thousands of U.S. workers
2:36
abroad were told to return
2:38
home. President Trump announced that
2:41
the Department of Government Efficiency
2:43
had saved the U.S. tons
2:45
of money, including... We identified
2:48
and stopped $50 million being
2:50
sent to Gaza to buy
2:53
condoms for Hamas. There is a
2:55
report, or was a report, of all
2:57
of their condom procurement that showed that
2:59
none of it had gone to Gaza.
3:01
That report has now been taken down,
3:04
along with the entire U.S. Agency for
3:06
International Development website. So they pointed at
3:08
one point to funding that was going
3:10
to field hospitals in Gaza. That was
3:12
about $50 million, but of course that
3:14
was for field hospitals. I have no
3:16
idea where they got the notion that
3:18
it was for condoms. There is no
3:20
money, as far as I can
3:22
tell, going to Gaza for condom
3:24
procurement. There are a number of
3:27
different Gaza-related options that, you know,
3:29
this could actually be. Ball funding
3:31
that is going to Gaza and
3:33
funding that is going to the
3:36
Gaza province of Mozambique. The
3:38
whole condom statistical mishap
3:40
was inconceivable, but not
3:43
unique. On to the next one. There's
3:49
crazy things like just grocery
3:51
examination of Social Security and we're good
3:53
people in there about a hundred and
3:55
fifty years old. Now do you know
3:57
anyone a hundred and fifty? I don't,
3:59
okay. Elon Musk. He later tweeted
4:02
that the Social Security Administration
4:04
in the United States might
4:06
be the biggest source of
4:08
fraud in the whole of
4:11
human history. Perhaps the most
4:13
shocking was the revelation that
4:15
deceased people who would have
4:17
been 120 to 150 years
4:20
old are still receiving Social
4:22
Security payments totaling billions of
4:24
dollars per month. This turned
4:26
out to be just a
4:29
programming quirk. If the date
4:31
of birth is not known,
4:33
the computer system defaults to
4:35
a date of birth of
4:37
the 20th of May 1875,
4:40
under the star sign, appropriately
4:42
enough, of Taurus the Bull.
4:44
More generally there is a
4:46
problem. Some people just don't
4:49
have their deaths recorded in
4:51
the database. which means that
4:53
according to the Department of
4:55
Social Security there are currently
4:58
18.9 million people aged over
5:00
100 in the United States,
5:02
which is definitely not right.
5:04
And this opens the door
5:06
to potential fraud. But two
5:09
reports from the Inspector General
5:11
found that officials also noted
5:13
that almost none of the
5:15
18.9 million number holders currently
5:18
receive SSA payments. Instead, the
5:20
type of fraud that occurs
5:22
is largely immigrants using the
5:24
social security numbers of dead
5:27
people to pay taxes so
5:29
they can get jobs. So,
5:31
again, billions have not been
5:33
saved. On to the next.
5:36
Has the government really spent
5:38
$8 million on making mice
5:40
transgender? I don't think it
5:42
means what you think it
5:44
means. This is real. When
5:47
challenged on this claim, the
5:49
White House produced a list
5:51
of studies whose grants all
5:53
added up to around $8
5:56
million. Last night, President Donald
5:58
J. Trump highlighted many... of
6:00
the egregious examples of waste,
6:02
fraud, and abuse funded by
6:05
American taxpayers, including $8 million
6:07
spent by the Biden administration
6:09
for making mice transgender. The fake
6:11
news losers at CNN immediately
6:14
tried to fact-check it, but
6:16
President Trump was right, as
6:18
usual. What interesting language for
6:20
an official governmental statement. Anyway, we've
6:22
been through the list, and this
6:25
is what we found. Most of
6:27
the studies were looking at the
6:29
impacts of hormone therapy. One such
6:31
study looked at whether people born
6:33
male who took estrogen supplements would
6:35
be more at risk of getting
6:37
breast cancer. Another looked into whether
6:39
these medicines could change the effectiveness
6:42
of a potential HIV vaccine. One
6:44
of the trials studied the effects
6:46
of hormones more generally, looking at
6:49
the link between estrogen and asthma.
6:51
And one of the studies which
6:53
cost more than a million
6:55
of this supposed $8 million
6:57
was nothing to do with
6:59
hormones at all. It involved
7:01
an entirely different form of
7:03
trans mice. Transgenic mice, meaning
7:06
genetically engineered, not transgender.
7:08
The mice are also
7:10
not transmorphic, translucent or
7:12
transformers. As
7:18
part of their effort to prove
7:21
to the US how incredibly
7:23
efficient there being, Doge posted
7:25
a list called the Wall
7:27
of Receats, detailing contracts they
7:29
have cancelled and what savings
7:31
those represented. But soon after,
7:33
the five biggest savings on
7:35
that original list were deleted,
7:37
after members of the press
7:39
pointed out errors. One of these
7:41
so-called savings was cutting a contract
7:44
Doge said was worth $8 billion.
7:46
although it turns out the contract
7:48
was actually worth $8 million, which
7:51
to the nearest percent is 0%
7:53
of $8 billion. By early March,
7:55
Doge had erased or altered
7:57
more than a thousand contracts.
8:00
on this wall of
8:02
receipts, more than 40%
8:04
of all the contracts
8:06
posted. This includes our
8:08
next number. Dosh claimed
8:10
that they'd cancelled $
8:12
133 million US aid
8:14
contract to an agency
8:16
in Libya. However, this
8:18
contract had actually come
8:20
to its end under
8:22
the Biden administration. So,
8:24
again, no. $1.9
8:27
billion. Wowser! Doge claimed that they
8:30
had severed an internal revenue service
8:32
contract for a company that provides
8:34
assistance with technology. Only, again, this
8:36
contract had been cancelled during the
8:39
Biden administration. So how much has
8:41
Elon actually saved the US government?
8:43
In the category of contracts, Doge
8:46
are now claiming $15 billion in
8:48
savings. which is less than 1%
8:50
of his $2 trillion target. For
8:53
government agencies, it's difficult to say,
8:55
as most staff whose jobs are
8:57
potentially being cut are being put
8:59
on paid administrative leave. So they're
9:02
paying people, but they're not getting
9:04
any productivity or output out of
9:06
them. Now, Elon Musk has had
9:09
some of these mistakes pointed out
9:11
to him, and he's acknowledged them,
9:13
such as the $50 million worth
9:16
of condons. Well first of all,
9:18
some of the things that I
9:20
say will be incorrect and should
9:23
be corrected. Agreed. So the fact-checking
9:25
losers at more or less will
9:27
keep checking those facts and we'll
9:29
keep you abreast of what we
9:32
find. If you want updates all
9:34
year round, even when we're not
9:36
on Radio 4, you will find
9:39
them on our weekend podcast. You're
9:41
listening to More or Less. UK inflation
9:43
has gone up from 2.5% to 3%
9:45
and it was reported that this increase
9:48
was driven by a rise in airfares,
9:50
food and adding VAT to private school
9:52
fees. But a number of our listeners
9:54
email in to check if that last
9:57
one was right. They asked, can the
9:59
new VAT requirements have really made a
10:01
difference when private schools are only used
10:03
by a small proportion of the population?
10:06
Or are the newspapers just mentioning it
10:08
because it's topical? Or possibly because some
10:10
newspaper editors send their kids to private
10:12
school. To find out the truth we
10:14
spoke to Stephen Burgess from the Office
10:17
for National Statistics. They're the people responsible
10:19
for calculating inflation. I started by asking
10:21
him, how much of an impact did
10:23
VAT on private schools really have on
10:26
inflation? Inflation on the CPIH measure, which
10:28
is our broadest measure, rose from 3.5%
10:30
in December to 3.9% in January, so
10:32
that's the rise of about 0.4, and
10:35
of that we think 0.06 was due
10:37
to private school fees, with bigger contributions
10:39
coming from food and from air fares.
10:41
So private schools were responsible for almost
10:44
a sixth of the total change then.
10:46
Enough to justify being mentioned in a
10:48
news article. But before we dig into
10:50
this, I suppose we should first establish
10:53
what do the ONS do to calculate
10:55
inflation? What we're trying to do is
10:57
to track the average price of all
10:59
the goods and services that all consumers
11:02
of the UK buy and how that's
11:04
changing over time. In order to do
11:06
that, I mean, you'd also have good
11:08
information about prices. We collect thousands and
11:10
thousands of prices from the variety of
11:13
shops and of services as well. And
11:15
you can imagine a sort of basket
11:17
of goods and services that is fixed
11:19
every time and we track the prices
11:22
in that. So why are private schools
11:24
included in this basket if not many
11:26
people use them? I think the important
11:28
point here is it's about total household
11:31
spending across all consumers, not what you
11:33
might think of as a kind of
11:35
stylised representative household. So actually smoking is
11:37
what a good example on this. We
11:40
think only about 12% of adults in
11:42
the UK smoke nowadays smoke nowadays, but
11:44
still we spend about 20 billion pounds.
11:46
collectively in the UK on cigarettes and
11:49
other tobacco products each year, which is
11:51
about 1.5% of all our spending. So
11:53
that's significant enough for it to go
11:55
in the inflation basket. And it's very
11:58
similar for private school fees. As you
12:00
say, we think only about 6% of
12:02
children attend independent schools, but for those
12:04
families that do send their children buried,
12:06
that's enough spending to justify including in
12:09
the basket. So informally, we have a
12:11
sort of threshold of about 400 million
12:13
pounds of expenditure that an item has
12:15
to see in a year before we
12:18
think about including it. So private school
12:20
fees are well above that threshold. So
12:22
we're not trying to say, okay, what
12:24
is the average consumer spend or what
12:27
is the typical consumer spend? We're trying
12:29
to get the average of all the
12:31
spending, which is not quite the same
12:33
thing. And people who do send their
12:36
children to private schools, and they're spending
12:38
probably tens of thousands of pounds. So
12:40
if there's a 20% increase or anything
12:42
close to a 20% increase in that,
12:45
that's going to show up in the
12:47
overall statistics, even though the actual number
12:49
of people involved is quite small. But
12:51
exactly how is the impact of private
12:53
school fees worked out? It's about 700%
12:56
of items that we track. And then
12:58
a really important point is that we
13:00
have to apply weights to those. So
13:02
not every good or service gets equal
13:05
amounts of spending. In the UK, for
13:07
example, we spend about twice as much
13:09
collectively on food as we do on
13:11
clothing. So we have to reflect that
13:14
when we aggregate figures. Yeah, so if
13:16
the price of food went up, that
13:18
would count twice as much. towards the
13:20
overall basket as if the price of
13:23
clothing went up because people spend twice
13:25
as much on food. Yes. Thank you,
13:27
Stephen Burgess from the Office for National
13:29
Statistics. I'm
13:31
Zing Singh and I'm Simon Jack and
13:34
together we host Good Bad billionaire the
13:36
podcast exploring the lies of some of
13:38
the world's richest people in the new
13:40
season We're setting our sights on some
13:42
big names. Yep LeBron James and Martha
13:44
Stewart to name just a few and
13:46
as always Simon and I are trying
13:48
to decide whether we think they're good
13:50
bad or just another billionaire that's good
13:52
bad billionaire from the BBC world service
13:55
Listen now wherever you get your BBC
13:57
podcasts The
14:03
other day our editor came across
14:05
an interesting claim on a Twitter
14:07
thread about the carbon dioxide emissions
14:09
associated with producing various foodstuffs. In
14:11
the UK carbon emissions from New
14:13
Zealand grown apples are 32% lower
14:16
than apples grown domestically, including emissions
14:18
from shipping. Interesting. Now I've heard
14:20
similar claims before about New Zealand
14:22
lamb and about Spanish tomatoes. You
14:24
may need to ship them from
14:26
Spain, but you don't need to
14:28
heat the greenhouses when you grow
14:31
them. But apples? I always thought
14:33
apples were kind of our thing.
14:35
After all, it was allegedly an
14:37
English apple that discovered gravity in
14:39
1666. So are New Zealand apples
14:41
more green than English ones? Other
14:44
colours of apple are available, red,
14:46
deliciously golden, or pink or... Well,
14:48
the claim comes from a paper
14:50
published in 2006 in 2006. titled
14:52
Food Miles and the Impact on
14:54
Carbon Footprinting and their potential impact
14:56
on trade. The paper was produced
14:59
by a team from New Zealand
15:01
who realised that people were starting
15:03
to worry about the environmental impact
15:05
of food miles, which is a
15:07
problem for New Zealand because they
15:09
make a lot of food a
15:11
lot of miles away from everywhere
15:14
else. This report calculates all of
15:16
the energy used during the cultivation
15:18
and production stage and gives it
15:20
a CO2 equivalent. per ton of
15:22
apple produced. The report found that
15:24
even including shipping, apples imported to
15:26
the UK from New Zealand cost
15:29
185 kilograms of CO2 for every
15:31
ton of apple versus 272 kilograms
15:33
for varieties grown in the UK.
15:35
So 32% less. That seems shocking
15:37
to some, but not to everyone.
15:39
So if you look at globally
15:42
emissions from the food system, Food
15:44
miles of food. transport only contributes
15:46
around 5 to 6% globally. So
15:48
it's actually much much smaller fraction
15:50
than I think many people would
15:52
assume. Ah, our friend Dr Hannah
15:54
Ritchie, deputy editor of Our World
15:57
in Data and senior researcher at
15:59
the University of Oxford. Food can
16:01
contribute to climate change in lots
16:03
of ways, from the methane burps
16:05
of cows and sheep, to the
16:07
chainsawing of forests to allow animals
16:09
to graze. to the energy required
16:12
to produce fertilizer. But apple production
16:14
is relatively low emission, which means
16:16
that for apples, transport may be
16:18
a more significant proportion of the
16:20
environmental footprint. As a global average
16:22
for apples, it's around 20%. One
16:24
of the reasons for that is
16:27
that the emissions that are associated
16:29
with... land use and emissions on
16:31
the farm for apples are actually
16:33
very low compared to many other
16:35
food choices. So if you think
16:37
about it, even if the amount
16:40
of emissions associated with transporting a
16:42
kilogram of beef and a kilogram
16:44
of apples is the same, right?
16:46
Say we're shipping beef and apples
16:48
all the way from New Zealand
16:50
and the emissions associated that is
16:52
the same. you would expect that
16:55
as a share of the total
16:57
carbon footprint of a food, transport
16:59
would be much lower for beef
17:01
than it is for apples. And
17:03
that's because the total amount of
17:05
emissions associated with the lunges change
17:07
and producing the food is much
17:10
higher for beef than it is
17:12
for apples. So this 20% transport...
17:14
point for apples is actually just
17:16
a very clear indication that the
17:18
carbon footprint of apples, whether it's
17:20
UK-based, whether it's New Zealand-based, is
17:22
actually very very low, right? Apples
17:25
are a relatively low carbon food.
17:27
It's probably unsurprising that apples are
17:29
a low-carbon food as they grow
17:31
on trees, the so-called lungs of
17:33
the earth. But if they're so
17:35
low-carbon, why on earth would it
17:38
be more environmentally beneficial to... ship
17:40
them to somewhere else. The simple
17:42
answer is that New Zealand has
17:44
the potential to produce more apples
17:46
in less space. Something to do
17:48
with the fact that they have
17:50
more sun feels like cheating. And
17:53
that means the potential to use
17:55
less fuel and less fertilizer. And
17:57
there are maybe two main reasons
17:59
why, or two main reasons in
18:01
the study, why you might assume
18:03
producing apples in the UK emits
18:05
more carbon in New Zealand. And
18:08
one of the factors is... yield
18:10
and productivity of farming. So we
18:12
know that apple yield in New
18:14
Zealand are about 30% higher than
18:16
they are in the UK. I
18:18
think when you're comparing yield, one
18:20
is the total amount of produce
18:23
that you can produce for a
18:25
given unit of area of land.
18:27
I think what's also key for
18:29
productivity is that if you have
18:31
very very productive plants, often you
18:33
can get a larger number of
18:36
apples for less inputs. And in
18:38
this case, less inputs might be...
18:40
Fertilizer use, right? So if you
18:42
have a better climate, if you
18:44
maybe have better apple varieties that
18:46
are more productive, you might need
18:48
less of, say, fertilizer to produce
18:51
a given amount of apples. Six
18:53
months in a fridge is a
18:55
lot of electricity, but we're not
18:57
sure the comparison is quite fair.
18:59
The report from New Zealand, assumed
19:01
New Zealand apples are consumed as
19:03
soon as they arrive in the
19:06
UK. That's not true. New Zealand
19:08
apples will also often be refrigerated
19:10
until needed. And research from 2006
19:12
is missing something important about the
19:14
cost of all that refrigeration. The
19:16
UK has really cleaned up its
19:18
electricity grid, so emissions per unit
19:21
of electricity in the UK have
19:23
more than halved. And a big
19:25
part of that is because we've
19:27
basically got rid of coal. We
19:29
were still getting around one third
19:31
of our electricity from coal. And
19:34
coal is obviously the worst fuel
19:36
you can really use in terms
19:38
of producing electricity for its... impact
19:40
and we've now basically got rid
19:42
of coal completely from the grid.
19:44
So I think these two factors
19:46
probably have closed the gap between
19:49
the emissions associated with New Zealand
19:51
apples and UK apples. Dr. Hannah
19:53
Ritchie, author of Not the End
19:55
of the World. We contacted Caroline
19:57
Saunders, the lead on the original
19:59
paper and ex-director of the Agribusiness
20:01
and Economics Unit at the University
20:04
of Lincoln. She agreed that the
20:06
paper was written a long time
20:08
ago, so things would be different
20:10
now. We think it can make
20:12
environmental sense to eat apples from
20:14
New Zealand in the UK, but
20:16
we also think the idea that
20:19
imported New Zealand apples contribute almost
20:21
a third less CO2 emissions was
20:23
questionable back in 2006 and is
20:25
definitely not true today. In fact,
20:27
any comparison is potentially misleading because
20:29
the emissions are so dependent on
20:32
the season. If you want to
20:34
eat apples in the most responsible
20:36
way, eat British apples in the
20:38
winter and New Zealand apples in
20:40
the spring. And in the meantime,
20:42
maybe have a biscuit. Several loyal
20:44
listeners got in touch about a
20:47
claim they'd seen in various newspapers.
20:49
Patient zero, it turns out, was
20:51
the front page of the telegraph.
20:53
Up to one in 12 in
20:55
London is an illegal migrant. That
20:57
seems like a big number, if
20:59
true, but is it true. Here
21:02
to tell us more is our
21:04
very own Charlotte McDonald. Hello Charlotte.
21:06
Hello Tim. So Charlotte where did
21:08
the telegraph get this number? Well
21:10
not from the Office for National
21:12
Statistics. It was actually based on
21:14
a study commissioned for internal use
21:17
only by Thames Water. Thames Water.
21:19
Thames Water. Yeah they wanted to
21:21
figure out how many people live
21:23
in the area they supply which
21:25
by the way isn't the same
21:27
as the official boundary of London.
21:30
But let's let that one slide.
21:32
That estimate needed to include people
21:34
such as tourists, people with second
21:36
homes, refugees from Ukraine. and also
21:38
unauthorized immigrants. And the telegraph got
21:40
their hands on the report that
21:42
Thameswater commissioned. And do we believe
21:45
the numbers? Well we don't believe
21:47
the maths. The telegraph made one
21:49
fairly elementary math era and had
21:51
to correct the ratio from one
21:53
in 12 to one in 13
21:55
once that was pointed out. And
21:57
they also rather cheekly looked at
22:00
a range of estimates in the
22:02
Thameswater report and pitched the biggest.
22:04
The mid-range would put the ratio
22:06
at one in 15. Well I
22:08
suppose we should have seen that
22:10
one coming with a phrase up
22:12
to. Up to anything always means
22:15
it could be this big but
22:17
it probably isn't. But Charlotte what
22:19
I'm really wondering is how reliable
22:21
Thameswater's underlying numbers are. I mean
22:23
Thameswater are famous for, well it'd
22:25
be cruel to say what they're
22:28
famous for, but let's just say
22:30
they're a water company, they're not
22:32
a census bureau. So where did
22:34
they get their numbers and can
22:36
we trust them? The underlying data
22:38
comes from a respected American think
22:40
tank called the Pew Research Centre,
22:43
but Pew's numbers were based on
22:45
data from back in 2017. They
22:47
were also for the UK as
22:49
a whole. So, Thames Water's consultants,
22:51
Edge Analytics, had to make various
22:53
assumptions to get a number for
22:55
London. And where did Pew get
22:58
their figure from? Well, the Pew
23:00
Research Centre estimated that they were
23:02
about... a million irregular migrants in
23:04
the UK back in 2017 plus
23:06
or minus a couple of hundred
23:08
thousand, they derive that estimate using
23:10
something called the residual method. That's
23:13
where you take the official statistic
23:15
for the number of migrants in
23:17
a country's population, in this case
23:19
the number of non-EU nationals. Then,
23:21
using official data still, you remove
23:23
all the people you know have
23:26
a legal right to be in
23:28
the country. So people with visas
23:30
to study and to work. then
23:32
those with residency rights in the
23:34
country. And then once you've removed
23:36
all the people with the right
23:38
to be in the country, the
23:41
number you have left, the residual,
23:43
is the amount they believe is
23:45
the irregular migrant population. But the
23:47
key thing with this method is
23:49
you must make sure you subtract
23:51
all the relevant groups if you
23:53
want to end up with the
23:56
right answer. And we're not sure
23:58
they did. Tell me more. Well,
24:00
one of the biggest criticisms of
24:02
the peer research is that they
24:04
miss out a large group of
24:06
people who have the right to
24:08
be in the UK legally. We
24:11
think Pew got their numbers from
24:13
the UK submission to the EU
24:15
Statistical Office Eurostat. And because UK
24:17
doesn't have a formal population registration
24:19
system, unlike many EU countries, the
24:21
UK's numbers weren't easy to interpret.
24:24
They included people with visas, but
24:26
not foreign nationals, with something called
24:28
Leave to Remain. Well that sounds
24:30
like a pretty massive oversight. Yeah,
24:32
and we're not sure that's what
24:34
Pew did, but several experts think
24:36
that's what happened. And we've invited
24:39
you to tell us otherwise, if
24:41
they wish, and they haven't so
24:43
far. Would it make a big
24:45
difference? Well, yeah, but we don't
24:47
know how big. The Windrush scandal
24:49
is a reminder that the Home
24:51
Office record keeping hasn't always been
24:54
great. We think that since 2004,
24:56
over 860,000 people have been granted
24:58
leave to remain, and we know
25:00
that at least 280,000 have not
25:02
gone on to claim citizenship. The
25:04
OSN estimates that around 250,000 people
25:06
were given leave to remain before
25:09
1993, but some of these people
25:11
will have died or left the
25:13
UK. So as patchy as it
25:15
is, you do have some numbers
25:17
for people with leave to remain
25:19
and we're talking about hundreds of
25:22
thousands of people. So that means
25:24
they haven't done enough subtraction to
25:26
come up with the right answer.
25:28
Yeah, but on the other hand,
25:30
this method is probably undercounting the
25:32
number of people here because certain
25:34
groups... don't want to be included
25:37
and are probably trying to avoid
25:39
being counted, although researchers do try
25:41
to account for that in their
25:43
estimates. Here's Meekin Aquibus, a researcher
25:45
at the Migration Observatory at the
25:47
University of Oxford. The simple answer
25:49
is that we simply don't know
25:52
how many unauthorized migrants there are
25:54
in London or the UK in
25:56
general. issue is that there is
25:58
no data available on this population
26:00
which makes it impossible to say
26:02
with any degree of precision what
26:04
the actual number is or even
26:07
how close all these different estimates
26:09
that we've seen going around are
26:11
to the truth. Right so what
26:13
I'm hearing is that the Thames
26:15
Water Report involves educated guesses built
26:17
on educated guesses that it's based
26:20
on data that's eight years old.
26:22
that it suggests one in 15
26:24
Londoners are irregular migrants, not one
26:26
in 12 or one in 13,
26:28
and that actually many of those
26:30
people aren't irregular migrants at all,
26:32
they have leave to remain, but
26:35
they've been miscategorised. What a mess!
26:37
Do we have any other sources
26:39
of data that might let us
26:41
cross-check these estimates? A few other
26:43
researchers have used the residual method
26:45
to make an estimate for irregular
26:47
migrants. Their numbers are lower than
26:50
Pews and they're also quite old
26:52
now. Jonathan Porter's Professor of Economics
26:54
and Public Policy at King's College
26:56
London has pointed out that we
26:58
do have some administrative data which
27:00
we can use to sort of
27:02
sense check how much of an
27:05
issue it is. So when the
27:07
police did an exercise where they
27:09
checked the migration status of everyone
27:11
they arrested, they found, perhaps unsurprisingly,
27:13
that foreign nationals were almost exactly
27:15
as likely to be arrested as
27:18
Brits. portion of irregular migrants was
27:20
absolutely tiny down at the sort
27:22
of 1% level. So that would
27:24
suggest that only a relatively small
27:26
proportion even of Londoners are irregular
27:28
migrants. Now, of course, you might
27:30
say, well, irregular migrants, for obvious
27:33
reasons, try not to get arrested.
27:35
because it might lead to them
27:37
being discovered. So there's a selection
27:39
bias there. But nonetheless, the actual
27:41
proportion of irregular migrants in the
27:43
population might be significantly lower than
27:45
suggested by some of the estimates
27:48
that have been widely publicized. Not
27:50
only that, but since Pew published
27:52
its research, based on data from
27:54
2017, we know there's been a
27:56
big increase in legal... immigration. So
27:58
all in all, coming up with
28:00
a good estimate figure for a
28:03
group that might not want to
28:05
be counted is very difficult. Well
28:07
thank you Charlotte. That's all we
28:09
have time for, but please keep
28:11
your questions and comments coming in
28:13
to more or less, bbc.co. UK.
28:16
We will be back next week,
28:18
actually, twice next week, you lucky
28:20
people. Thrice, if you include our
28:22
bite-sized Saturday edition on the podcast.
28:24
On Monday I am presenting a
28:26
special edition of the programme to
28:28
mark the fifth anniversary of the
28:31
UK going into lockdown. We've been
28:33
trying to work out what we
28:35
can say with any certainty about
28:37
the effect that the lockdowns had
28:39
on young people. What happened to
28:41
education levels, jobs, mental health? Listening
28:43
on Monday to find out. The
28:46
programme is broadcast at 9am on
28:48
radio 4 and on BBC sounds.
28:50
Until then, goodbye. More
28:52
or less was presented by
28:54
me, Tim Harford. The producer
28:57
was Charlotte McDonald, with Nathan
28:59
Gower, Josh McMinn and Lizzie
29:02
McNeil. The production coordinator was
29:04
Brenda Brown. The program was
29:06
mixed by Rod Farker. And
29:09
our editor is Richard Varden.
29:11
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