1 00:00:01,370 --> 00:00:53,110 So. They say. 2 00:01:07,800 --> 00:01:13,770 I think there's something quite nice about giving somebody a fancy job and then 3 00:01:13,770 --> 00:01:17,999 requiring that they wear something very silly to give a lecture like this. 4 00:01:18,000 --> 00:01:25,139 It kind of brings us down a little bit in case your eyesight isn't brilliant. 5 00:01:25,140 --> 00:01:32,940 I've put up the names of the people who are pictured around you just to put you in your place and make you feel small. 6 00:01:34,890 --> 00:01:39,360 And when I was looking at these pictures earlier, I did wonder whether if you were just a prince, 7 00:01:39,360 --> 00:01:44,250 you kind of felt a bit inadequate compared to as an emperor and so on. 8 00:01:46,320 --> 00:01:50,250 Thank you very much for coming. I've got a few people just to say thank you. 9 00:01:50,250 --> 00:01:53,310 Two in particular, the children from Cheney School. 10 00:01:53,760 --> 00:01:57,900 I hope this doesn't put you off the university, but thank you very much for coming. 11 00:01:58,440 --> 00:02:07,499 And also Edward House, who is the son of John House, the first book in the chair and was at John's inaugural. 12 00:02:07,500 --> 00:02:16,680 So I'm very glad that Edward can be here. And if any of my kids managed to last that and the 40 years, that'll be very impressive as well. 13 00:02:18,360 --> 00:02:22,440 I wasn't sure how to start this lecture off until today. 14 00:02:23,280 --> 00:02:31,380 And then today. Luckily, Matt Ridley and the alumni of this university wrote an op ed piece in The Times, 15 00:02:32,310 --> 00:02:37,680 which I read, which made me think I now know why I'm giving this lecture. 16 00:02:39,450 --> 00:02:45,090 What Matt. What Matt valued. Part of what Matt took Matt vote was that he was trying and I quote, 17 00:02:45,930 --> 00:02:52,649 to understand why it is that people mind so much today when in many ways inequality 18 00:02:52,650 --> 00:02:58,510 is so much less acute and absolute poverty is so much less prevalent than it was, 19 00:02:58,510 --> 00:03:04,590 say, in 1900 or 1950. Now that starvation and squalor are mostly avoidable. 20 00:03:05,310 --> 00:03:07,800 So what if somebody else has a yacht? 21 00:03:09,540 --> 00:03:17,850 What I'm going to try and do in the next 47 minutes is try to give you the say what if somebody else has a yacht? 22 00:03:18,420 --> 00:03:24,360 Why does it matter? Why are we annoyed compared to 1919 50? 23 00:03:26,450 --> 00:03:29,480 I promise there'll be no of a slide with as much text on this. This. 24 00:03:33,450 --> 00:03:39,749 Wind in the Willows wasn't anything about Oxford, although it's all four went to school in Oxford as far as I could see. 25 00:03:39,750 --> 00:03:43,020 Nobody is quite sure which particular attributed the times it was about, 26 00:03:43,950 --> 00:03:49,739 but to me in many ways it sums up part of growing up in Oxford and the divisions in this city, 27 00:03:49,740 --> 00:03:56,320 which are part of what I want to talk about this evening. It's about the squirrels. 28 00:03:57,010 --> 00:04:02,120 Everybody forgets the squirrels and the rabbits. The it's being a mixed lot. 29 00:04:02,120 --> 00:04:07,310 Some of them okay. Some of them are not okay. The Steve old badger who you can read about there. 30 00:04:08,180 --> 00:04:13,340 But then there's the weasels and the stoats and the foxes. And I love this face in the book. 31 00:04:14,330 --> 00:04:20,000 I'm good friends with some of them. We've all we've all got a friend who's a stout, aren't we nice? 32 00:04:22,460 --> 00:04:30,980 And then at the end, I'm not reading out for you, Mona, but it really was against animal etiquette to kind of dwell on these kind of things. 33 00:04:31,640 --> 00:04:35,379 So he dropped the subject. And I've been watching, I think, 34 00:04:35,380 --> 00:04:40,710 in the last few years how often we drop the subject because the subject of inequality and difference is a bit painful. 35 00:04:41,790 --> 00:04:47,850 But also in the last few years, how we're beginning to drop the subject a little bit less than we used to. 36 00:04:49,920 --> 00:04:54,990 In case I forget what it is. I was trying to get over to you. These are the the main points I want to make. 37 00:04:56,100 --> 00:05:03,450 I want to try to explain to you why I think geography matters very much today and also why it matters to me 38 00:05:03,450 --> 00:05:08,850 and why I think it matters in particular to Oxford and the many different kinds of Oxford that we have. 39 00:05:10,230 --> 00:05:13,830 Geography is increasingly useful for revealing inequalities, 40 00:05:13,830 --> 00:05:19,410 inequalities that of otherwise often hidden, particularly in wealth, but also as I show, in health. 41 00:05:21,020 --> 00:05:25,850 Social inequalities of many kinds have been rising for much of the last 30 years. 42 00:05:26,810 --> 00:05:30,080 But the mean rising acutely in the last five years. 43 00:05:30,080 --> 00:05:38,930 And I want to talk. Quite a bit about the importance of that, about what's happened most recently, that it would have been very hard, I think, 44 00:05:38,930 --> 00:05:46,940 to have predicted five years ago and has repercussions, which I think we're only just beginning to realise at last. 45 00:05:47,030 --> 00:05:55,820 Of course the half of Oxford, the University side of Oxford is associated with the 1% with what they've always called the top cornflakes. 46 00:05:58,170 --> 00:06:02,550 My claim, though, is that what's happened, particularly in the last five years, 47 00:06:03,360 --> 00:06:08,610 means that society in Britain is changing to such an extent that for the majority even of 48 00:06:08,610 --> 00:06:13,710 Oxford and Oxbridge undergraduates and for the majority of the staff of the university, 49 00:06:14,340 --> 00:06:18,060 things are getting worse in a way which is not in their interests. 50 00:06:19,500 --> 00:06:22,950 I want you to think about your own personal position and how that's changed, 51 00:06:22,950 --> 00:06:28,050 how you're sitting economically compared to the past or compared to your parents. 52 00:06:28,950 --> 00:06:35,450 And I'll show you a graph. The white line here. 53 00:06:36,630 --> 00:06:44,780 It's the average income. Of the top 1% of the 1%, the best off people in the country. 54 00:06:46,210 --> 00:06:54,290 When The Wind in the Willows was written. Top 1% of the 1% has an income over 400 times the average income. 55 00:06:54,320 --> 00:06:58,960 That is when we had an Overstock AC that we like to produce films about nowadays. 56 00:06:59,750 --> 00:07:06,630 Evidently. That came down. And I think it's very important for Britain to realise that the inequality, when it came down, 57 00:07:06,900 --> 00:07:11,100 when equality increased, most of it actually happened before the Second World War. 58 00:07:13,170 --> 00:07:19,020 I'm going to show you in a minute a picture of the cuts, the slow walls. Many of you will have heard them, but the cuts are slow. 59 00:07:19,050 --> 00:07:25,170 Walls were built at a time when we are becoming more equal. Possibly very much because we were becoming more equal. 60 00:07:26,330 --> 00:07:29,390 And then when we get down to 1959, when the walls were demolished. 61 00:07:30,920 --> 00:07:35,000 We have this period of incredible equality in our history by income. 62 00:07:36,560 --> 00:07:43,459 But we've had a rise since the late 1970s. A small blip in 2008 that some of us felt was incredibly hopeful. 63 00:07:43,460 --> 00:07:51,230 Something changing. We've reached a peak, and although the data is still only just being collected since then, we're fairly sure it's gone up again. 64 00:07:51,980 --> 00:07:57,700 So the question is what's going to happen now? The cuts are slow wars. 65 00:07:58,770 --> 00:08:08,759 These are two walls built a couple of miles north of here to separate the council houses from the private development because the people 66 00:08:08,760 --> 00:08:14,280 making money out of the private development thought that they weren't going to make as much money if they didn't have the ball there. 67 00:08:15,450 --> 00:08:18,570 Here's a picture of the wall. It's a pretty serious wall. 68 00:08:18,780 --> 00:08:24,210 And if you've got good eyesight, you can see on top it was covered in spikes that were actually deadly. 69 00:08:25,260 --> 00:08:28,290 It really was a very serious undertaking. 70 00:08:29,090 --> 00:08:32,750 And it shows how divided society was at that time. 71 00:08:33,960 --> 00:08:42,630 But in many ways we've become, at least statistically, as divided again as we were in 1934 when they built those walls. 72 00:08:43,500 --> 00:08:47,880 It's just that now you don't have to build physical walls to keep people out, to separate them. 73 00:08:48,720 --> 00:09:00,190 We do it economically in different ways. I've turned the graph around, now the aristocracy, and now at the bottom it's the same white line. 74 00:09:00,190 --> 00:09:03,940 But instead I'm showing you the share of total income in the country. 75 00:09:05,350 --> 00:09:16,960 The red line is the best of 10% of people. And way back in the 1920s, the best of 10% had about half of all income in the country. 76 00:09:18,490 --> 00:09:24,340 But then they saw this rapid fall in their share of income down to just over a third of all income. 77 00:09:24,940 --> 00:09:31,389 And it was at this point in Oxford that they built those walls. Then we have equality increasing. 78 00:09:31,390 --> 00:09:36,520 The top 10% say now income coming down to 30%, still an enormous amount of money. 79 00:09:38,470 --> 00:09:45,220 And the walls were demolished finally in 1959. These are the 18 years I spent as a child in Oxford. 80 00:09:46,570 --> 00:09:52,059 And they were very strange 18 years. They were the 18 years where the country was most equal. 81 00:09:52,060 --> 00:09:59,650 And I think in many ways the city was most equal. And in my late teens, we knew things were getting worse. 82 00:10:00,400 --> 00:10:08,360 And that was the point I left the city. Coming back now, 30 years later is very strange in many, many ways. 83 00:10:08,380 --> 00:10:12,160 It's very interesting to visit somewhere where you've been away for so long. 84 00:10:15,050 --> 00:10:20,620 Little bit more about me when I was growing up. To give you an idea about why I'm going to get to where I'm going to get to. 85 00:10:22,630 --> 00:10:31,690 Here's where the wolves were. This map is a map of deprivation, the government's official measure of deprivation produced by all the O'Brien. 86 00:10:33,400 --> 00:10:37,090 And there's still a difference between one side and the other side where the walls were. 87 00:10:39,670 --> 00:10:47,129 The M40 was built after I left. And I think if you're looking at reasons why Oxford changed, the fact you can get to London much easier. 88 00:10:47,130 --> 00:10:53,710 This is one of the major differences between my childhood and now that I started off life down here. 89 00:10:54,460 --> 00:11:00,550 But I wasn't particularly poor. My dad was one of the GP for this area and he wanted me to point out that this 90 00:11:00,550 --> 00:11:05,080 part wasn't dark green then because the caravan park was there and that. 91 00:11:09,790 --> 00:11:14,790 He is a shy looking me at the back and my brothers. 92 00:11:14,810 --> 00:11:22,010 I was never meant to do this job for many reasons. I really shouldn't be standing in front of you now and talking about it. 93 00:11:23,570 --> 00:11:31,610 I'll show you where we moved to when I was six out of Cowley in a minute, but it was a very divided part of the city, 94 00:11:32,150 --> 00:11:38,900 and I suspect that because it was so divided, it made me think about where people grow up and that it matters perhaps more than it really does matter. 95 00:11:40,370 --> 00:11:48,559 Years later, I came back to that roundabout I grew up in and I'd just been writing some research papers about area effects and so on, 96 00:11:48,560 --> 00:11:52,490 and I went onto the subway, which connects the various sides of the roundabout. 97 00:11:52,490 --> 00:11:58,910 I'll show you in a minute. And I saw somebody had simply graffitied good puppies this way about puppies this way. 98 00:11:59,420 --> 00:12:07,070 And I thought, why aren't why are academics having to explain what is patently obvious to most people living in the city? 99 00:12:09,430 --> 00:12:14,830 Here's a roundabout to Greenbelt Roundabout, which I lived on for the ages of 6 to 18. 100 00:12:16,030 --> 00:12:18,730 It's now much more divided than it was. 101 00:12:20,830 --> 00:12:28,930 It has all the colours of the index of deprivation rainbow around it now, but the social gaps between different parts of that roundabout, 102 00:12:28,930 --> 00:12:34,210 the house prices, what happens to children when they go to school has widened in the city. 103 00:12:34,930 --> 00:12:38,080 I'm going to show you some evidence for this, but I don't think it's. 104 00:12:39,520 --> 00:12:44,409 Is that hard to say that this has occurred and to show that what's happened in Oxford 105 00:12:44,410 --> 00:12:50,020 reflects the general increase in inequality that's occurred in the country as a whole. 106 00:12:50,830 --> 00:12:54,850 Oh, by the way, they do make mistakes with the index of deprivation. 107 00:12:55,540 --> 00:12:58,780 We are not currently sitting in one of the poorest parts of the country. 108 00:13:00,190 --> 00:13:02,770 It's just that there are some 14th century hovels here. 109 00:13:03,130 --> 00:13:08,050 Have a nice hovels, but they don't look that good statistically in terms of quality of housing. 110 00:13:08,530 --> 00:13:22,150 Sometimes it gets maybe a slightly depressing when some of your first research work this is done with maybe show a Nick Brimble come over here. 111 00:13:22,780 --> 00:13:31,450 You can look back at some of the first research you did early on and now use it as a historical benchmark to see how things have changed over time. 112 00:13:32,620 --> 00:13:39,189 This table is showing in the average amount of equity in housing in the 1980s. 113 00:13:39,190 --> 00:13:45,190 In what were then the different wards of Oxford, Blackburn at Leeds had negative equity on average. 114 00:13:46,730 --> 00:13:53,180 At the Top End wool overcoat, the average positive equity was £65,000. 115 00:13:54,290 --> 00:13:59,300 The Gulf now is much, much, much bigger than that, as anybody from Oxford will be aware. 116 00:14:00,020 --> 00:14:05,930 But the more important point I wanted to make by showing you this is that this set of figures. 117 00:14:07,380 --> 00:14:14,770 Which are mortality rates for the wards of Oxford don't correlate that well with the well for these different parts of the city. 118 00:14:14,790 --> 00:14:23,790 [INAUDIBLE] didn't back then, but at least you were 6% more likely to die than average back then. 119 00:14:24,180 --> 00:14:30,370 There really was a very weak correlation. My dad likes to claim the credit, but I don't think it's just my dad. 120 00:14:32,520 --> 00:14:35,980 People were in a better position. The incomes were higher, relatively. 121 00:14:36,000 --> 00:14:40,980 Back then, the car factory was still the major employer and so on. 122 00:14:41,820 --> 00:14:45,890 And the highest rate back then. Of 130. 123 00:14:48,180 --> 00:14:53,580 I think was due to a homes hostel being sited in that particular area and the deaths in the homeless hostel. 124 00:14:56,200 --> 00:15:02,320 I'm going to show you one of my greatest regrets so far in my career. I love these faces. 125 00:15:02,650 --> 00:15:08,350 And so far, I failed to get anybody else to copy the idea of producing these particular faces. 126 00:15:09,160 --> 00:15:12,310 So if I'm going to set myself some task of what am I going to do at Oxford? 127 00:15:12,760 --> 00:15:20,140 I'm going to try to get people to take on this technique, which is an old technique in statistics, but seems to have gone out of fashion. 128 00:15:21,520 --> 00:15:31,360 I drew this picture. I think you've got a postcard showing it way back in 1990, just after revived at Newcastle University. 129 00:15:32,230 --> 00:15:33,250 And looking back at it, 130 00:15:33,250 --> 00:15:39,970 I think it partly says a lot about what I felt about the world as much as it reflected the statistics that it was all based upon. 131 00:15:41,740 --> 00:15:44,260 Each of these circles is a parliamentary constituency. 132 00:15:45,190 --> 00:15:51,340 The whip for the cheeks depends on how high the house prices were there, smiling when people had jobs. 133 00:15:51,880 --> 00:15:58,120 The eyes go small when the industry is old because it was manufacturing then in these talks with the small. 134 00:15:58,710 --> 00:16:03,610 Here this is West Oxford with the knowledge based industries. 135 00:16:04,060 --> 00:16:08,770 It's described as a useful industry, even though the buildings and the place is very, very old. 136 00:16:09,400 --> 00:16:11,290 The nose is whichever people voted, 137 00:16:12,130 --> 00:16:20,050 and you can produce a whole set of information and the colour of the face is by who they voted for, not whether they voted. 138 00:16:20,320 --> 00:16:21,670 And it shows the mix of votes. 139 00:16:22,270 --> 00:16:30,130 And that's you know, you may well know Oxford East has been a Labour constituency for a long time in a sea of blue and growing up in Oxford East. 140 00:16:30,520 --> 00:16:33,850 If you get involved in politics, that's often how it can feel. 141 00:16:35,900 --> 00:16:39,050 When we say outs, it begins to get a bit more varied. 142 00:16:39,440 --> 00:16:47,150 Still a sea of blue. But certainly you've got those parts of Birmingham where Channel four recently went to film Benefit Straight. 143 00:16:48,920 --> 00:16:54,440 The place was poor, long, long before any of the families that they've shown recently were were living there. 144 00:16:56,080 --> 00:17:00,730 If we zoom out again, you can begin to see that the country varies. 145 00:17:01,970 --> 00:17:08,150 Even more. I was actually growing up in a pretty boring uniform place, 146 00:17:08,150 --> 00:17:12,740 even though we felt it really mattered that there were these differences in the city and across the city. 147 00:17:13,850 --> 00:17:18,630 It was a great deal more variety. And this is in the 1980s. 148 00:17:18,650 --> 00:17:21,980 There was also the 87 election then in my little patch. 149 00:17:23,990 --> 00:17:27,140 And then in 1986, I headed north. 150 00:17:28,670 --> 00:17:32,330 I've just spotted Martin. I think he's the man there. 151 00:17:32,750 --> 00:17:41,370 Stan Openshaw, my brilliant, eccentric pastry supervisor, who let me do what I liked, is largely to blame for a lot of what I've called on to do. 152 00:17:42,020 --> 00:17:48,980 And I clearly was a very mixed up 21 year old who they were very tolerant of. 153 00:17:50,290 --> 00:17:54,650 I'd go into another university and learning about things and doing a paste teaches you a lot. 154 00:17:55,460 --> 00:17:57,380 But as much as that teaches you a lot, 155 00:17:58,220 --> 00:18:06,770 simply going from a part of the country which is like this part of the country where that is the experience of most people around it. 156 00:18:07,280 --> 00:18:12,500 Newcastle For the entire ten years I lived there, majority of households had no income coming into the household. 157 00:18:13,370 --> 00:18:21,920 That teaches you a huge amount about life and about geography and about difference which books and learning really can't teach you about. 158 00:18:23,630 --> 00:18:29,450 When I look at this map now, I think in many ways it was important of what was to come in Britain, 159 00:18:29,450 --> 00:18:32,480 and it divides where to grow in differences that were to get worse. 160 00:18:33,380 --> 00:18:41,540 Except that many of these happy, smiling faces in the South are no longer quite so happy that they had a house price boom then. 161 00:18:42,080 --> 00:18:47,030 So they now have house prices to to her face and so exponentially since. 162 00:18:51,400 --> 00:18:56,950 For anybody who hasn't yet got here, because I really am determined to try to spread the technique of doing these faces. 163 00:18:59,350 --> 00:19:04,390 This shows how they're how they're mixed up. We are very good at looking at faces in the crowds. 164 00:19:05,500 --> 00:19:09,640 We're good at spotting it. We're good at seeing differences. You're good at seeing strangers. 165 00:19:10,600 --> 00:19:14,620 You're good at seeing outliers. And you're also good at seeing similarities in the faces. 166 00:19:16,910 --> 00:19:24,240 That's come forward a bit. This cartoon was published in 1931 in the Plebs Journal. 167 00:19:26,580 --> 00:19:28,440 You could really produce it today. 168 00:19:28,500 --> 00:19:36,510 You just have to add two notes on to the salaries to get the same kind of idea of all taking a step down in hard times. 169 00:19:38,320 --> 00:19:44,350 In many ways, you can see repeats in the past, in the 1950s or the 1980s and again now they're all different. 170 00:19:45,310 --> 00:19:51,370 But there are similarities. We've polarised in the last 30 or 40 years. 171 00:19:51,970 --> 00:20:00,610 When I was at Leeds University, we fell ways. We took the censuses and worked out how many hundreds of thousands or millions of people you'd have to 172 00:20:00,610 --> 00:20:08,680 move home if we were to get Britain back to the level of inequality it had in 1971 or 1981 or 1991. 173 00:20:09,730 --> 00:20:15,760 And each time we did this, we found that the country had become a little bit more polarised in the time before. 174 00:20:19,470 --> 00:20:26,960 We have Beth and Thomas who is here up in Sheffield, which use lots of maps like this, which I've made fairly small here. 175 00:20:27,770 --> 00:20:33,200 The blue areas on the map are places where children growing up have all the advantages in life. 176 00:20:33,860 --> 00:20:38,570 Where your parents are most likely to have two cars, not one car, but they probably own their home. 177 00:20:39,050 --> 00:20:40,940 Where your odds on to go to university? 178 00:20:41,930 --> 00:20:49,160 The dark red areas are the opposite, but so likely to have parents in work where you're very unlikely to go to university. 179 00:20:50,210 --> 00:20:56,870 And we produced a graph like this, Marius, which has all the advantages to areas which have all the disadvantages. 180 00:20:57,560 --> 00:21:04,070 And the thing which interests me is we began to get this despairing in the 1980s, in the 1990s. 181 00:21:05,150 --> 00:21:11,360 You could say the country was splitting into two kinds of neighbourhoods with less neighbourhoods necessarily in the middle. 182 00:21:12,490 --> 00:21:16,540 And that's surprising because you expect suburbia to be ubiquitous. 183 00:21:16,540 --> 00:21:18,010 You expect that to be a big middle. 184 00:21:18,490 --> 00:21:24,310 And you're mainly talking about a few people at the bottom, not about the society that's hollowing out in the centre. 185 00:21:25,450 --> 00:21:31,090 But now if you look at London as people with incomes in the centre who can no longer afford to live in London. 186 00:21:31,120 --> 00:21:38,170 London is full of people who are very poor and people who are very rich, many of whom feel they're very poor, even though they're very rich. 187 00:21:41,700 --> 00:21:49,859 As the divides have become starker. As we no longer have to look at relative differences between people as absolute 188 00:21:49,860 --> 00:21:54,989 poverty has increased as we begin to get actual falls in life expectancy, 189 00:21:54,990 --> 00:21:58,090 which we've got for the first time for many years for the over 85. 190 00:21:59,190 --> 00:22:01,100 You can produce simpler figures, I think, 191 00:22:01,110 --> 00:22:10,260 and you may claim or think that we've produced figures that have been too complicated really for years and we really need to make it easier. 192 00:22:11,490 --> 00:22:17,370 This little map of the UK is copying a famous map that the Occupy movement produced for the USA. 193 00:22:18,490 --> 00:22:21,260 It's looking at people's wealth, their liquid wealth. 194 00:22:21,270 --> 00:22:29,730 Once you take away the house that you have to live in and half the wealth, the liquid wealth in Britain is owned or held by the 1%. 195 00:22:31,530 --> 00:22:34,800 If you just put the 1% to give with the next best or 4%, 196 00:22:35,280 --> 00:22:41,639 you get the equivalent to the whole of England and Wales in terms of portion of land area and that on the rest of the top half and 197 00:22:41,640 --> 00:22:49,440 you've got the whole of Britain and half of Britain's wealth is the size of Northern Ireland and these differences are getting wider. 198 00:22:50,160 --> 00:22:55,110 And in a way, this is obvious after 30 years of growing income inequality, year after year after year. 199 00:22:55,560 --> 00:22:59,310 Of course, you're going to get growing wealth inequalities showing up later. 200 00:23:02,740 --> 00:23:10,630 But who do we blame? You can read the last words of Ian Banks there when he angrily talked about who who's blamed for these kind of things. 201 00:23:12,520 --> 00:23:18,100 And the blame gets shoved on to all kinds of groups of people, people at least power to do anything about it. 202 00:23:18,550 --> 00:23:26,170 I put this up because I just wanted to show you a couple of world map maps that we've a series of five colleagues we produced. 203 00:23:27,160 --> 00:23:33,400 This top map is looking at everybody alive about eight years ago and classifying them as an immigrant. 204 00:23:34,000 --> 00:23:36,760 If they were born in a different country to the country in which they're living, 205 00:23:37,720 --> 00:23:42,700 the largest destination for immigrants in the world is the United States and Canada. 206 00:23:43,480 --> 00:23:47,320 The next largest well in the Middle East comes quite close, but is Europe. 207 00:23:48,040 --> 00:23:51,459 But if you look in Europe, you can see it's France and Germany. 208 00:23:51,460 --> 00:23:56,320 At least you can see that if you use these maps showing up and we're pretty small, 209 00:23:56,800 --> 00:24:03,520 we're not much bigger than Japan and we never think of Japan as an area which actually does have immigrants. 210 00:24:04,210 --> 00:24:07,890 But this is net immigration. Not many people leave Japan, right? 211 00:24:08,950 --> 00:24:17,280 If you look down here, that's Portugal and that's Ireland. And this is Ireland before the recent exodus, and that's Mexico and that's Eastern Europe. 212 00:24:18,060 --> 00:24:23,040 But most of those Eastern Europeans went to countries nearer to Eastern Europe. 213 00:24:23,940 --> 00:24:29,310 I like producing pictures. I think pictures are an easier way of getting over the relative magnitude of things 214 00:24:29,850 --> 00:24:34,170 and forcing you to concentrate on what really matters and what matters less. 215 00:24:37,010 --> 00:24:44,580 So some more pictures. Things really are changing very, very rapidly. 216 00:24:46,860 --> 00:24:53,880 This orange graph here was produced in Alan Miliband's report, his annual report for the Social Mobility and Child Poverty Commission. 217 00:24:54,830 --> 00:25:02,810 And it shows the change in the proportion of all children in England who are now living in families who are renting from a private landlord. 218 00:25:03,980 --> 00:25:11,930 It's about a year out of date, so I suspect it's now over quarter to quarter of all children living in a house with a private landlord. 219 00:25:13,180 --> 00:25:16,690 That wasn't what the plan of increasing private renting was supposed to do. 220 00:25:17,680 --> 00:25:23,680 Having more private renting was supposed to allow young professionals to move around more, to give more space to students, to have more choice. 221 00:25:24,400 --> 00:25:29,320 But we've ended up with families, with kids living in accommodation that's incredibly insecure. 222 00:25:30,430 --> 00:25:39,790 In London, the average family who are renting privately in recent years has apparently been being forced to move once a year because as events go up, 223 00:25:40,150 --> 00:25:47,380 they went up 9% in London last year. The landlords want to make more money, but the family that's in the house can't pay the rent. 224 00:25:47,950 --> 00:25:52,180 If you have children who are moving home and moving school, 225 00:25:52,510 --> 00:25:58,600 you have children who are losing all their friends and can lose all their friends again and again and again. 226 00:25:59,740 --> 00:26:05,080 This has been so recent, but we really are only just getting used to what's going on. 227 00:26:05,980 --> 00:26:10,870 People often think it's inevitable. They say it's what you have to do to win the global race. 228 00:26:10,870 --> 00:26:13,270 It's hard luck, but we have to do this kind of thing. 229 00:26:14,410 --> 00:26:20,890 And what I like to point to is the Netherlands and Switzerland, which are hardly socialist utopias, 230 00:26:22,270 --> 00:26:26,919 but two countries which progressively over the course of the last century have 231 00:26:26,920 --> 00:26:31,840 reduced the amount of income taken by the top 1% of people in that country. 232 00:26:32,650 --> 00:26:41,920 And I would argue largely because of that, managed to avoid many of the problems that we have in Britain, and that problems have been getting worse. 233 00:26:42,610 --> 00:26:46,660 And if the Netherlands and Switzerland can do it and the Swiss have bankers, 234 00:26:47,710 --> 00:26:54,070 but they manage to keep their bankers despite paying them on average, half as much as our bankers. 235 00:26:54,910 --> 00:27:01,780 Now they've got mountains as well and they've got skiing. But I honestly don't think that's the reason that they can do it and get away with it. 236 00:27:05,550 --> 00:27:11,910 Is it just because they're clever? It's very interesting to look down the list of countries at the top of this list. 237 00:27:11,940 --> 00:27:14,040 I'm afraid Switzerland is missing, I think, from here. 238 00:27:15,270 --> 00:27:20,760 This is the average level of numeracy of 16 to 24 year olds, according to the latest PISA report. 239 00:27:22,110 --> 00:27:28,920 And we're down with the dunces of the class just above 2/10 of all, which is the United States of America. 240 00:27:29,940 --> 00:27:34,200 And if you're trying to tell people that if only they work hard enough, 241 00:27:34,200 --> 00:27:39,510 if they all just strive enough, if they all have enough aspiration, they can all be in the 1%. 242 00:27:40,580 --> 00:27:47,120 You can only really convince people that that's possible in a country where people don't understand that only 1% can all be in the 1%. 243 00:27:48,990 --> 00:27:55,040 Yes. And there are correlations between the average level of numeracy and how much more 244 00:27:55,040 --> 00:27:58,760 able people get to work things out and the level of equality in their country. 245 00:27:59,540 --> 00:28:04,099 It becomes harder to fool people once they get used to having a bit more equality. 246 00:28:04,100 --> 00:28:12,319 It becomes easier to fool people. There's been work done recently showing people actually become more stupid as they become poorer, 247 00:28:12,320 --> 00:28:16,520 partly because of the effort of what you have to do to survive gives you less chance 248 00:28:16,520 --> 00:28:20,180 to think about the kind of things you need to think about to be more numerate. 249 00:28:23,570 --> 00:28:27,650 And again, touching on something that's quite topical in the last two weeks. 250 00:28:29,870 --> 00:28:34,460 This is the distribution according to the IFRS about a year ago of the effects of cuts in 251 00:28:34,700 --> 00:28:40,670 benefits and changes in taxation on the population of Britain divided into different payments. 252 00:28:41,900 --> 00:28:47,570 If you follow these debates, you'll have heard in the last two weeks that apparently the top 10%. 253 00:28:48,530 --> 00:28:50,510 Those up there are also taking a hit. 254 00:28:51,680 --> 00:28:59,690 What they don't tell you when they look at those figures is that it's nine out of ten of the top 10% taking a hit. 255 00:29:00,440 --> 00:29:05,909 The top 1%, the best off temp for the top 1% have not become poor. 256 00:29:05,910 --> 00:29:08,910 That. But I think this really is interesting. 257 00:29:09,890 --> 00:29:17,370 Um, I do not think you can carry on for long in a country where you're even saying the living standards of 258 00:29:17,370 --> 00:29:23,700 nine out of ten people in the best time reduce while a small group appear to get richer and richer. 259 00:29:24,210 --> 00:29:28,350 I could easily be wrong, but that's the state I think we're getting to. 260 00:29:31,200 --> 00:29:38,310 The Children's Commissioner tried to explain this to produce a series of posters for children, for classrooms about who had lost out. 261 00:29:39,300 --> 00:29:46,440 And on top of that, distribution is people with kids who have lost out more than people without kids, and in particular, people with only one parent. 262 00:29:46,440 --> 00:29:48,420 And kids have lost out even more. 263 00:29:50,060 --> 00:29:55,970 So when you see these documents saying that everybody is stepping down together and all taking a hit together when it's all equal together, 264 00:29:56,790 --> 00:30:00,200 ask what about the difference between people who are children and not children? 265 00:30:00,740 --> 00:30:09,050 And ask about what is the difference within the top 10%? Not simply are they all sharing an equal amount of grief with everybody else? 266 00:30:11,120 --> 00:30:14,989 Les Graff. I think it's worth concentrating on, but I really do think when I look at this, 267 00:30:14,990 --> 00:30:21,170 it kind of sums up about half that you need to know about why we are where we are today. 268 00:30:22,280 --> 00:30:29,960 On the x axis of this graph. You've got to have the top rate of marginal taxation has changed since 1960 in different countries. 269 00:30:30,320 --> 00:30:40,040 So this is a geographical comparison. In some countries, they still have the top rate of maximal of taxation that they had in 1960. 270 00:30:40,730 --> 00:30:42,380 Most importantly in Switzerland. 271 00:30:42,710 --> 00:30:52,820 But there is an evidence that Finland has Germany and on the Y axis does the increased income and take of the best of 1% in these societies. 272 00:30:53,960 --> 00:30:58,310 And what this graph suggests, this graph was produced by researchers in the United States. 273 00:30:59,330 --> 00:31:04,880 If you adjust top taxation, the richest 1% get richer and richer and richer. 274 00:31:05,600 --> 00:31:10,370 And then there's countries which haven't done this. They've kept their countries more cohesive. 275 00:31:11,420 --> 00:31:19,520 And part of the reason is that when you have relatively high marginal taxation at a high level, it stops people asking for more money. 276 00:31:20,060 --> 00:31:24,980 Because what's the point of asking for more money if most of it is going to go in taxation? 277 00:31:25,700 --> 00:31:32,540 And that's one of the main reasons you need high rates of marginal taxation is not actually to raise money for the Exchequer, 278 00:31:33,290 --> 00:31:43,130 it's to deter people from being greedy by making it somewhat pointless to ask for too much at the top to lighten it up a bit. 279 00:31:43,160 --> 00:31:52,880 I've got some thanks that I need to do. And these thank you really are quite, quite heartfelt because if any of you have got an email for me, 280 00:31:53,270 --> 00:32:00,440 you'll know that I am not particularly good at spelling or writing or grammar or anything else really involved in the production of a book. 281 00:32:02,000 --> 00:32:05,750 So to be able to write books and to write paper for life and a lot of help for a lot of people. 282 00:32:06,620 --> 00:32:11,720 One, everything about doing this, these are some of my earlier collaborators as of course they all look old now. 283 00:32:12,560 --> 00:32:16,340 Everybody first work with 20 or 30 years ago looks old. 284 00:32:17,600 --> 00:32:22,700 They're getting a bit younger here, but I really am grateful. 285 00:32:22,700 --> 00:32:24,829 I think almost everybody here is actually in the room. 286 00:32:24,830 --> 00:32:33,500 So this is my way of saying thank you very much and I'm very sorry about the spelling, but working in collaboration with people really is fun. 287 00:32:33,500 --> 00:32:39,800 It changes what you think, it changes your mind, and you have to think, how can I contribute in different ways? 288 00:32:42,050 --> 00:32:46,550 The thing I used to be old, the thing I could do is I could do the maths, but I hate the appointment. 289 00:32:46,550 --> 00:32:50,270 I couldn't do the maths anymore and so I'm very grateful in particular to Martin Newman, 290 00:32:50,270 --> 00:32:55,010 who isn't here in the States, to help him work out the maths, to draw these kind of maps. 291 00:32:56,930 --> 00:33:03,710 That particular map is a map of the global profits made by the financial industries of every country in the world in 2005. 292 00:33:04,640 --> 00:33:13,040 If you want to see why we've got a problem, we really were living off that and that will have changed dramatically once we update it. 293 00:33:13,280 --> 00:33:16,309 And thanks also to Anna, who's here for her patience. 294 00:33:16,310 --> 00:33:23,120 When I decided I wanted to do one mapping a day for every day of the year, and could she please help do it? 295 00:33:24,890 --> 00:33:30,250 And lastly, now you can see them looking younger. Well, I think this is an older picture of George Davis Smith. 296 00:33:30,470 --> 00:33:37,010 But anyway, I'm very grateful for the help and the thinking and for moving things forward. 297 00:33:37,640 --> 00:33:42,500 And you also notice that the covers get more colourful in time. Graphic design changes. 298 00:33:44,120 --> 00:33:51,949 And the last set of Banks publishes these and in particular proof readers are the ones who really have to put 299 00:33:51,950 --> 00:33:59,090 up with with some of the difficulty is having somebody who is dyslexic decide that they want to be an author. 300 00:34:00,740 --> 00:34:05,930 So I'm very grateful for them and for asking me a second time having gone for the experience once already. 301 00:34:06,840 --> 00:34:13,080 Right. And lastly, in the thanks in part, the reason why I've managed to get away with this for so long, 302 00:34:14,010 --> 00:34:21,629 my mum and dad all the way from my pasty faces from correcting every first manuscript before I even got to the publisher, 303 00:34:21,630 --> 00:34:24,810 who then said, How come your English is so absolutely awful? 304 00:34:25,900 --> 00:34:32,640 With that, I'm very grateful. But that's the trick. If you find things hard, if you find writing things hard, ask people to help you. 305 00:34:33,720 --> 00:34:39,690 It's also only helps you yourself do things, but you also get to see much more about other people's views. 306 00:34:41,250 --> 00:34:44,730 I have to speed on because I'm determined we're going to end on time so you can get a drink. 307 00:34:45,420 --> 00:34:54,540 But I need to say something about Oxford. This Oxford, the Oxford University, The Guardian, Paul Longley sent me this slide and very grateful. 308 00:34:54,540 --> 00:34:59,010 The Guardian did a quite a tangential analysis and I think it's very interesting to look. 309 00:34:59,400 --> 00:35:07,650 This is first times the most common 51st names of boys at the university and the most common 51st names of footballers. 310 00:35:08,520 --> 00:35:15,690 I'll let you have a look down. I clearly was never going to be a footballer and I didn't go to this university. 311 00:35:16,080 --> 00:35:24,060 I don't think it was just because of my name. But it is interesting that there are these social differences. 312 00:35:24,070 --> 00:35:34,070 But there is an overlap as well, of course. Oxford gets a lot of steak for being snobby in many ways. 313 00:35:34,730 --> 00:35:39,800 This is what Marshall Berman said I think died last year about the experience of being here, 314 00:35:40,820 --> 00:35:44,150 about it being intellectually exciting, but being socially isolating. 315 00:35:44,630 --> 00:35:48,290 Being with the wannabe warning class to wannabe people who are going to do very well. 316 00:35:48,740 --> 00:35:52,160 And if you look at Marshall Berman's cohorts, he was a 1960s student. 317 00:35:52,850 --> 00:35:57,410 Most of them by the 1980s were doing pretty well. They were into the 10%. 318 00:35:57,800 --> 00:36:03,860 They were in a group whose average income was from two and a half to back to three times what most people were getting. 319 00:36:05,180 --> 00:36:13,310 But I think those times are changing numerically, unless you exclude undergraduates from every other university, 320 00:36:13,730 --> 00:36:20,420 and then that would allow no immigration of any finances into the country and decide that every single undergraduate here, 321 00:36:20,420 --> 00:36:22,880 no matter what they study, it, needs to go to work for a bank. 322 00:36:23,690 --> 00:36:30,290 Unless that happens, there is no way the students of this university can all fit in that top 1% anymore. 323 00:36:31,250 --> 00:36:35,960 Rising inequality is no longer in the interests of the majority of the undergraduates of a place like this. 324 00:36:36,620 --> 00:36:41,959 And I'm quite interested in trying to find ways to demonstrate that because people are enthusiastic, 325 00:36:41,960 --> 00:36:49,430 they're optimistic, they think everything will be okay. But if you look forward, it won't necessarily be that way. 326 00:36:50,300 --> 00:36:57,830 The girls the interesting thing here is they didn't take footballers, 327 00:36:57,830 --> 00:37:02,960 wives or girlfriends because girls name is actually very far more than boys names. 328 00:37:03,680 --> 00:37:10,730 So it's just a comparison to the 50 most popular names for young women in Oxford and the 50 most popular names for young women in general. 329 00:37:11,390 --> 00:37:20,510 And you get a wider variation. I have a pet fairy partly from going to school in Oxford, in China, that when you pick a boy's name, 330 00:37:20,510 --> 00:37:24,709 you're a bit more careful about the idea they might be bullied in the playground than not. 331 00:37:24,710 --> 00:37:27,710 So I don't think I'll have to explain to my oldest son why he's called Bobby. 332 00:37:28,190 --> 00:37:32,270 But it was the most common name of fathers in China at that time. 333 00:37:34,130 --> 00:37:42,530 And interestingly, if you're looking at the slide, the parents of girls who were going to become later Oxford undergraduates pick Kate 334 00:37:42,530 --> 00:37:46,790 and Catherine at around about the same time as the parents of our future king. 335 00:37:46,820 --> 00:37:58,260 Queen did the same thing. Those names are part of revealing much darker statistics and stark inequalities 336 00:37:58,260 --> 00:38:03,540 about who comes here and from how few schools such a large proportion come, 337 00:38:03,540 --> 00:38:10,340 and so on. And there's often the criticism that says, why is there a national obsession with who gets into just these two universities? 338 00:38:10,350 --> 00:38:15,180 We ought to worry more widely about it. But these two universities really matter. 339 00:38:15,840 --> 00:38:23,100 The 1% of people who have enough money to be able to afford to pay the fees to get into those schools, that might affect their chances of getting in. 340 00:38:23,490 --> 00:38:26,580 The proportion of children who go to private schools is actually falling. 341 00:38:26,940 --> 00:38:32,100 It fell for four out of the last five years, so actually 1% become richer. 342 00:38:32,820 --> 00:38:35,010 This kind of thing becomes more acute. 343 00:38:40,080 --> 00:38:48,420 The most amazing statistics are when you compare just five schools with 2000 schools and see the differences you've got. 344 00:38:49,380 --> 00:38:54,620 But the point I want to make is that I don't think this is about the schools. 345 00:38:54,630 --> 00:38:57,600 It's not about the schools, it's about the society we've become. 346 00:38:59,070 --> 00:39:05,220 The increasingly divided society that we've become have made that parents try harder not to live in certain school catchment areas. 347 00:39:05,520 --> 00:39:12,720 Some parents try harder to pay for their children's education, the action that those parents devise of the children, which then changes the schools. 348 00:39:13,110 --> 00:39:19,530 So the fault is not with the schools, it's with the society. And then you have to say, well, who is most influence the society? 349 00:39:20,250 --> 00:39:27,180 And no longer can your top university stand back and say, it's not our fault, because where did the politicians mostly go to? 350 00:39:27,750 --> 00:39:31,950 And I think diversity's have a circular responsibility in that way. 351 00:39:34,920 --> 00:39:35,970 And it's about money. 352 00:39:37,470 --> 00:39:45,210 The complicated little graphic here is drawing children in Britain, making them the size of the amount of money spent on their secondary education. 353 00:39:45,840 --> 00:39:51,750 Before that, 7% of children who go private three times as much is spent on each of them. 354 00:39:52,380 --> 00:39:59,730 As for the 93% of children who go to state schools in many more normal OECD countries, 355 00:40:00,270 --> 00:40:05,670 they spend more money on children who do worse at school to help them do better. 356 00:40:07,230 --> 00:40:13,500 I get the sense this almost happens partly in colleges here where a lot of work is done on undergraduates who are having a hard time. 357 00:40:13,760 --> 00:40:20,460 And it's kind of like a little model of equality once you're in, but you really want to be in the society that does that in general. 358 00:40:20,910 --> 00:40:27,150 And part of the reason our society doesn't do that in general is because the inequalities in our society have become so wide. 359 00:40:28,890 --> 00:40:32,280 The student debt bubble, that's the debt bubble warm for the USA. 360 00:40:32,790 --> 00:40:40,679 The UK would be even more dramatic because it's grown so much wider so recently and because I'm going to end on time, 361 00:40:40,680 --> 00:40:45,950 I won't say anything else about it, except there's no way they're all going to pay the money back like that. 362 00:40:47,030 --> 00:40:54,100 Right. Which does does push me onto why 99% of us have reason to worry. 363 00:40:55,570 --> 00:41:02,740 The direction in which things are going really is not in the direct, personal, selfish interest of 99% of people. 364 00:41:03,670 --> 00:41:13,000 The effects about six months ago did an analysis which showed that if you exclude the top 1%, we have all become more equal. 365 00:41:13,540 --> 00:41:19,600 The income inequality coefficients in the country have dropped down, I think, to levels last seen when John Major was prime minister. 366 00:41:21,190 --> 00:41:26,230 So we are all in it together. It's just it all of us is 99%, not 1%. 367 00:41:26,620 --> 00:41:33,370 And before you think I'm having too much of a go at the 1% to be in the 1%, you need to be earning at least 160,000 without kids. 368 00:41:33,670 --> 00:41:37,180 But there's more inequality within the 1% than there is within the 99%, 369 00:41:37,720 --> 00:41:45,550 which is partly why people in the 1% don't want to give up what they've managed to get a little bit more about Oxford. 370 00:41:47,350 --> 00:41:51,100 I'm guessing the majority of you know Oxford quite well, or at least parts of Oxford quite well. 371 00:41:51,910 --> 00:41:59,440 I have to admit, I did a talk the other day at part of Oxford Books as in Botley, and suddenly realised I'd never been to Botley in my life before. 372 00:42:00,580 --> 00:42:06,790 So if you, if you grow up in this city, you stay in your quarter, you go into the middle to MacDonalds, you come out again. 373 00:42:08,560 --> 00:42:14,110 North Oxford posh as you know bits of the apple them very posh they're posh and 374 00:42:14,110 --> 00:42:18,069 increasingly around the hospitals posh less posh involves Helen Blackwood, 375 00:42:18,070 --> 00:42:19,690 Liz and the interests leap off. 376 00:42:19,690 --> 00:42:26,320 And it's not green, which I think is because it's near the tube to London, but it's the other area that's relatively poor. 377 00:42:28,270 --> 00:42:32,770 What happens when you have a very unequal society? You may have noticed the oxytocin housing problem. 378 00:42:33,730 --> 00:42:37,389 Well, you may be less aware of is that there are parts of Oxfordshire, 379 00:42:37,390 --> 00:42:43,210 5% of homes are second homes and these are in the most expensive parts of the city. 380 00:42:44,230 --> 00:42:48,600 You use your housing less inefficiently. They're sufficiently the more unequal you get. 381 00:42:48,610 --> 00:42:49,480 Becky Tunstall. 382 00:42:49,750 --> 00:42:56,200 I'm very grateful for having done all the hard work proving this, which I've used in the book, which I'll tell you about lies at the end. 383 00:42:57,880 --> 00:43:03,040 But other strange things happen as inequality rises. This is the latest to use. 384 00:43:03,040 --> 00:43:06,820 An Oxford to Mark Foundation for the City Council very kindly produces maps for me. 385 00:43:07,240 --> 00:43:12,040 I don't know where he got this data from, but it's brilliant and it's in some areas, 386 00:43:12,040 --> 00:43:16,600 in some neighbourhoods of Oxford, people are using twice as much electricity than in others. 387 00:43:17,110 --> 00:43:19,990 And it's not because they've got twice as many people in their homes, 388 00:43:20,890 --> 00:43:26,380 it's because compared to the other costs in life, the electricity bill really doesn't matter very much. 389 00:43:27,190 --> 00:43:32,260 As you get a more unequal country or more unequal city, you end up wasting things more. 390 00:43:34,090 --> 00:43:41,719 Here's the gas bills for Oxford. And if you look down towards Black Blackburn, at least down towards Rice Hill, 391 00:43:41,720 --> 00:43:45,950 you can see where people are going cold because they're keeping the gas off and keeping the bills low. 392 00:43:46,610 --> 00:43:55,430 And if you look up into Norfolk said, well, I'm now renting from the university and watching the thermostat, maybe not as bad as I could be doing. 393 00:43:56,000 --> 00:44:04,399 People are often using twice as much to heat their homes because the bell isn't as important as the greenhouse gases. 394 00:44:04,400 --> 00:44:08,690 It makes us less environmentally aware. If you look at the centre of London now, 395 00:44:08,690 --> 00:44:15,530 the centre of London has blackouts and its substations fail because the electricity use is so high in Kensington and Westminster, 396 00:44:15,950 --> 00:44:21,920 because people who can afford million pound houses in Kensington, Westminster are not going to worry about electricity bills. 397 00:44:22,520 --> 00:44:24,290 So you actually have a problem with the substations. 398 00:44:27,520 --> 00:44:35,049 I may be reiterating this story too much for you, but I do think that the way we're going, if you simply project forward, 399 00:44:35,050 --> 00:44:38,260 if you try and say who will be able to live in this city in the future, 400 00:44:39,160 --> 00:44:44,530 who will be able to get the few jobs in London that make it possible to have a family in London? 401 00:44:45,220 --> 00:44:52,690 You can see a problem that's increasing for society as a whole that it's now moved up and become an issue for the top 10%. 402 00:44:56,990 --> 00:45:00,530 What's happened, I think over the last 30 or 40 years is a tipping out. 403 00:45:01,220 --> 00:45:04,190 If, first of all, began with the very poorest in this city, the very poor, 404 00:45:04,190 --> 00:45:09,500 with some pushed out of Jericho estates were built over the edge of the city, tipped out and often out of sight. 405 00:45:10,930 --> 00:45:14,750 Later on that happened in Westminster, with homes of votes tipping out, pushing out. 406 00:45:14,960 --> 00:45:19,460 It's now happening in London in general, with people being pushed out because of housing benefit rules changing. 407 00:45:20,030 --> 00:45:22,820 First of all, it happens to the poorest and it happens more widely. 408 00:45:23,390 --> 00:45:28,670 And then you find that half the people working in your university can no longer live in your city anymore. 409 00:45:29,690 --> 00:45:36,350 More and more and wider and wider groups are affected. The GCSE result differences for the school. 410 00:45:37,550 --> 00:45:40,490 The educational inequality in this city is wider than ever. 411 00:45:41,720 --> 00:45:46,820 The bottom school is now further down the league tables, lower than it was when I was a child here. 412 00:45:48,290 --> 00:45:52,730 Four times as many children in Oxford go to private schools than is the national average. 413 00:45:53,030 --> 00:46:01,610 And the cost of those schools is far higher than I was here. The gaps inside the city are widening, and that increases people's fear and their worry. 414 00:46:04,310 --> 00:46:06,200 We didn't experiment with inequality. 415 00:46:08,240 --> 00:46:16,910 The experiment was to let the top move off, take away, make money, create that financial sector that was so successful that in 2005, 416 00:46:17,240 --> 00:46:20,660 half of all the profits made by finance in the world came to the UK. 417 00:46:22,400 --> 00:46:26,300 It looked maybe plausible then, but it hasn't worked. 418 00:46:27,770 --> 00:46:31,520 And on top of it, not working. We haven't learned from it not working. 419 00:46:32,180 --> 00:46:39,590 And we've actually seen those inequalities getting wider, even though we had the crash in 2008. 420 00:46:43,480 --> 00:46:51,400 And if you remember that table I showed you at the start about mortality rates in Oxford, not correlating with the wealth of certain areas. 421 00:46:52,870 --> 00:46:56,410 And now look at this difference in life expectancy between different areas in Oxford. 422 00:46:58,240 --> 00:47:03,250 You'll see the mortality pattern is beginning to correlate with the wealth again. 423 00:47:03,910 --> 00:47:10,120 It's not as wise as many cities because it's actually quite hard work to build to stay in the poorest areas of the city. 424 00:47:10,660 --> 00:47:14,140 And so people that do worse end up having to leave the city entirely. 425 00:47:16,860 --> 00:47:19,860 Some good news just to cheer you up. Before you get a drink. 426 00:47:22,080 --> 00:47:26,400 A lot has got better on the National Front. 427 00:47:27,030 --> 00:47:30,810 Nowhere in sight any more. My childhood. 428 00:47:31,110 --> 00:47:37,200 There were swastikas everywhere. I can remember that. And it's well worth counting your blessings and the things that got better. 429 00:47:38,310 --> 00:47:42,360 Getting the buses. And I'm old enough. Even the cars now to cool markets is incredible. 430 00:47:43,230 --> 00:47:49,890 And I do work with tenses plenty with road peace. Oxford, as you may know, is one of the first cities that went to 20 mile an hour. 431 00:47:50,820 --> 00:47:54,900 All these areas shown green are now 20 mile an hour cities. 432 00:47:55,140 --> 00:48:01,260 I think the best change in Oxford has been the way that cars have been kept out and slowed down apart from those buses on the London road, 433 00:48:02,070 --> 00:48:06,630 the tube that needs to be tackled. But other than that, it's got a lot better. 434 00:48:07,200 --> 00:48:09,000 I'm going to draw you a strange map now. 435 00:48:09,930 --> 00:48:18,060 This is a strange map, a population cardiogram, and then we'll put those areas on again and it looks even more hopeful. 436 00:48:18,360 --> 00:48:23,310 I'm grateful to what king of 2020. On to Ben Henry Hennig, who helped me to all this map. 437 00:48:24,570 --> 00:48:30,210 Even the corporation of the City of London now has a blanket 20 mile an hour speed limit for all the bankers. 438 00:48:31,050 --> 00:48:38,940 I think it's worth saying at that point, yeah, we really ought to all be getting 20 mile an hour in our local streets, in our local homes. 439 00:48:40,500 --> 00:48:43,680 And if you're worrying about the student at this university or any young people 440 00:48:44,370 --> 00:48:48,210 vowed to remain the most likely thing that's going to kill them or change them, 441 00:48:48,510 --> 00:48:53,880 at least up until they're 25 years old. Even in the city, that's become as safe as Oxford. 442 00:48:56,490 --> 00:49:02,130 Other things have got worse. This is what the country looks like if you shape it by housing equity. 443 00:49:03,780 --> 00:49:13,890 And I think this picture alone tells you why we have a housing market like we have and why the chancellor spent most of the effort of his last budget, 444 00:49:14,820 --> 00:49:23,460 his March 2013 budget, on policies designed to try and hold the housing market up as high as you could, at least until May 2015. 445 00:49:24,120 --> 00:49:30,180 And Oxford. It's too small to be shown here. Even though the houses cost a fortune, a city is too small to appear as a circle. 446 00:49:30,690 --> 00:49:37,080 Sitting between Birmingham and London without any other major conurbation in the way really is 447 00:49:37,320 --> 00:49:41,520 squeezed in this and the problem and this is going to have to be tackled at some point soon. 448 00:49:42,180 --> 00:49:46,860 Because you can win millions and millions of pounds of European funding for your excellent research. 449 00:49:47,310 --> 00:49:54,440 But if you can't get the researchers into the lab to do it, well, they don't stay for very long because they'd like to settle down with somebody. 450 00:49:54,450 --> 00:49:58,920 You're going to have a problem, as you can tell. 451 00:49:59,460 --> 00:50:05,640 Coming to Oxford has helped me become a bit more acutely aware about problems in housing than I was when I was in Sheffield. 452 00:50:06,180 --> 00:50:12,780 And what I'm going to do now the last two slides before I wind up is save you the trouble of reading my next book. 453 00:50:13,380 --> 00:50:20,820 Because all you really need to do is to read the first paragraph, which is they're saying what a problem this has become. 454 00:50:20,820 --> 00:50:24,840 And if it's not a problem for you, it's a problem for your children, it's a problem for other people. 455 00:50:25,260 --> 00:50:29,370 You know, increasing numbers of people are homeless, increasing numbers of people. 456 00:50:29,370 --> 00:50:36,870 I want to vent, but I don't want to vent. And on top of that, and this brings me back to this argument about what's happening in the top 10%. 457 00:50:39,090 --> 00:50:46,980 The Financial Times published an analysis on the 18th of January quite recently, and I took some evidence from Savills. 458 00:50:47,400 --> 00:50:53,070 Savills, the estate agent, had the complete record of almost all mortgage lending but postcode level. 459 00:50:53,070 --> 00:51:00,870 So this was geography. So using geography to do this, and they worked out that in the last five years, landlords in Britain, 460 00:51:01,350 --> 00:51:09,630 landlords were only 2% of the population have increased and that 12 then that equity by 245 billion. 461 00:51:10,230 --> 00:51:14,790 In a time of austerity because they take the high rents that they're charging and buy another house, 462 00:51:14,790 --> 00:51:19,710 another house, another house, mainly in the south of England, largely in London and Oxford. 463 00:51:20,380 --> 00:51:25,560 The same time as that was happening, the average mortgage holder, partly because prices fell, 464 00:51:25,980 --> 00:51:32,190 but also because people were taking out larger mortgages to build to buy a house so their equity fall. 465 00:51:33,780 --> 00:51:37,980 So people way up in the top of society are doing worse than before. 466 00:51:38,430 --> 00:51:45,900 Isn't just about the poor anymore. Only two more slides to go. 467 00:51:47,970 --> 00:51:53,220 We're not all moles. We don't have to be quite as polite as we've become about all of this. 468 00:51:53,970 --> 00:51:58,080 You shouldn't think that it's your fault if you're finding it hard to get by. 469 00:51:59,220 --> 00:52:02,370 If the electricity bill is a bit too much, the gas bill is a bit too much. 470 00:52:02,370 --> 00:52:05,370 Or you're living in fear of a half a percent rise in interest rates. 471 00:52:06,210 --> 00:52:08,820 Or you're wondering just how long you're going to carry on renting. 472 00:52:09,150 --> 00:52:16,140 People do need, I think, to get a bit more angry about the situation they find themselves in and not blame themselves about it. 473 00:52:17,610 --> 00:52:23,460 Geography can be used to avail these differences. Geographical data shows you that we have wars between areas that they're rising up. 474 00:52:24,150 --> 00:52:27,330 And of course, he's been rising in many ways for a third of a century. 475 00:52:27,330 --> 00:52:30,960 But in the last five years, those increases have been acute. 476 00:52:31,620 --> 00:52:34,860 We're waiting for a series of data to be published to confirm this. 477 00:52:35,700 --> 00:52:40,740 There's a worry that often the datasets being cut before we can actually get them to show much of this. 478 00:52:41,940 --> 00:52:46,829 And lastly, these things affect Oxford in particular. They affect the staff of the university in particular, 479 00:52:46,830 --> 00:52:54,299 and they will affect the students who are walking out into a environment where their chances of being seen as a success are much, 480 00:52:54,300 --> 00:52:58,170 much lower than Marshall Berman's cohort in the 1960s. 481 00:53:01,530 --> 00:53:04,770 But things can get better. This is what I want to end on. 482 00:53:05,730 --> 00:53:11,010 If you had told somebody in 1934, five years after the 1929 crash, 483 00:53:11,760 --> 00:53:17,820 that what was going to happen in the next 25 years would be the kind of social revolution that Britain soul 484 00:53:18,360 --> 00:53:22,380 food to the point that although they put a policeman there to make sure that the children were allowed food, 485 00:53:22,860 --> 00:53:29,610 the children were allowed food because low wall so they could go to school to short way of having to walk around a long way. 486 00:53:30,480 --> 00:53:36,270 If you told people in the thirties that all this was going to occur and all this was changed not just because of a war, 487 00:53:36,930 --> 00:53:42,960 but partly because a country had become so bankrupt. It could no longer afford to do things the way it had done them before. 488 00:53:43,410 --> 00:53:47,250 People wouldn't have believed you. I think it's possible. 489 00:53:47,460 --> 00:53:55,050 You can see that things could carry on getting worse. But I think you can also step back and say there really isn't enough money. 490 00:53:55,230 --> 00:54:02,280 There won't be enough money. We we're not going to create that bubble again where we make half the world profit from finance anymore. 491 00:54:02,340 --> 00:54:06,810 The rest of the world is not that stupid. We're going to have to live and survive on less. 492 00:54:07,800 --> 00:54:10,740 And once you begin to see that, we're going to have to live and survive on less. 493 00:54:11,490 --> 00:54:16,920 The idea of trying to strive to the top of a shrinking bubble becomes less and less attractive. 494 00:54:17,880 --> 00:54:22,470 And that's why I would like to see us going well and see evidence towards saying, 495 00:54:22,470 --> 00:54:28,620 at what point will it become evident that we really could do with becoming a slightly more equal country, 496 00:54:29,130 --> 00:54:32,760 a slightly more equal city, and seeing these divides for ages. 497 00:54:33,300 --> 00:54:35,160 Thank you ever so much for your patience. Thank you.