1 00:00:18,635 --> 00:00:22,829 You understand the importance of light and the truth, right? 2 00:00:23,755 --> 00:00:26,102 Imagine a world without them. 3 00:00:26,533 --> 00:00:29,793 I’m here to talk about how we need more, of both. 4 00:00:31,153 --> 00:00:33,934 I’m going to start with a true story 5 00:00:34,384 --> 00:00:36,144 about the kinds of things that happen 6 00:00:36,144 --> 00:00:39,403 when too much of the world is operating in darkness. 7 00:00:42,394 --> 00:00:45,536 On a warm October day in 2018, 8 00:00:45,536 --> 00:00:49,186 a Saudi Arabian journalist called Jamal Khashoggi 9 00:00:49,186 --> 00:00:51,983 walked into the Saudi Consulate in Istanbul, 10 00:00:51,983 --> 00:00:56,142 to get some papers he needed to marry his Turkish fiancée. 11 00:00:57,329 --> 00:01:00,981 She waited outside for him for hours. 12 00:01:01,451 --> 00:01:03,749 She never saw him again. 13 00:01:05,113 --> 00:01:07,065 You may remember hearing about this case, 14 00:01:07,065 --> 00:01:10,195 because it made headlines around the world. 15 00:01:10,966 --> 00:01:14,916 We know from a number of different investigations 16 00:01:14,916 --> 00:01:19,050 that Saudi government agents went into the consulate, 17 00:01:19,050 --> 00:01:20,570 killed Mr. Khashoggi 18 00:01:20,570 --> 00:01:23,253 and dismembered his body. 19 00:01:24,317 --> 00:01:27,357 Let me be clear about what I just said. 20 00:01:27,677 --> 00:01:33,097 Government agents killed a journalist to silence his truths. 21 00:01:34,102 --> 00:01:39,112 These kinds of happenings are both shocking and surprisingly common. 22 00:01:41,696 --> 00:01:44,926 But I’m pretty sure that if the Saudi government had known 23 00:01:44,926 --> 00:01:49,096 that this case would make headlines worldwide, 24 00:01:49,096 --> 00:01:51,316 and stay there for weeks, 25 00:01:51,316 --> 00:01:53,367 they wouldn’t have done it, right? 26 00:01:53,870 --> 00:01:57,800 They wanted to commit their crimes in the dark, 27 00:01:57,800 --> 00:02:00,737 not in broad daylight for all to see. 28 00:02:01,392 --> 00:02:03,572 Which raises some questions. 29 00:02:05,031 --> 00:02:07,642 What if we could shine a brighter light 30 00:02:07,642 --> 00:02:10,490 on the world’s injustices and wrong-doings? 31 00:02:10,490 --> 00:02:14,826 And what if, by doing so, we could incentivise governments everywhere 32 00:02:14,826 --> 00:02:17,426 to treat people with more respect 33 00:02:17,426 --> 00:02:22,270 and listen to the voices of their critics rather than silencing them? 34 00:02:26,080 --> 00:02:29,290 This is the world that I’m working to create. 35 00:02:31,537 --> 00:02:33,605 I’d like you to take a moment - 36 00:02:34,025 --> 00:02:36,035 you’re welcome to close your eyes - 37 00:02:36,465 --> 00:02:38,865 and ask yourself this question: 38 00:02:39,312 --> 00:02:42,399 what is it that you and your family need 39 00:02:42,399 --> 00:02:47,119 to live in dignity and fulfill your potential as human beings? 40 00:02:56,603 --> 00:03:00,363 You might be thinking about good food or a roof over your head, 41 00:03:00,363 --> 00:03:03,495 access to healthcare or education, 42 00:03:03,495 --> 00:03:06,195 or a good job, or social security, 43 00:03:06,195 --> 00:03:09,990 or you might be thinking about the freedom to be yourself 44 00:03:09,990 --> 00:03:16,050 and speak your mind without fear of arrest, torture, imprisonment or worse. 45 00:03:17,149 --> 00:03:21,389 These things are not luxuries. They are human rights. 46 00:03:21,413 --> 00:03:25,863 They have been defined and set out in international human rights law. 47 00:03:26,102 --> 00:03:29,672 Countries have made promises to respect them. 48 00:03:33,686 --> 00:03:35,496 But until now, 49 00:03:35,496 --> 00:03:38,756 no one has been tracking how well each country is doing 50 00:03:38,756 --> 00:03:43,826 on making sure every person is able to enjoy each human right. 51 00:03:44,342 --> 00:03:47,092 I know, I was surprised to learn this too. 52 00:03:47,908 --> 00:03:50,658 For 20 years, I was an economist. 53 00:03:50,688 --> 00:03:54,194 In the mid-2000s, I was working at the OECD in Paris, 54 00:03:54,194 --> 00:03:57,364 giving economic policy advice to governments. 55 00:03:57,364 --> 00:03:58,496 I really loved my job. 56 00:03:58,496 --> 00:04:02,886 I found it super interesting to look at each country through the economist lens 57 00:04:02,886 --> 00:04:05,266 and figure out what advice to offer. 58 00:04:05,777 --> 00:04:07,614 But there was one problem. 59 00:04:08,014 --> 00:04:11,694 In every country, there were human rights violations. 60 00:04:11,694 --> 00:04:15,432 I was reading about mistreatment of Kurds in Turkey 61 00:04:15,432 --> 00:04:17,762 and Roma in Slovakia, 62 00:04:17,762 --> 00:04:19,718 and I was always kind of looking for ways 63 00:04:19,718 --> 00:04:23,554 that I could try and bring these human rights issues into my reports. 64 00:04:23,554 --> 00:04:26,366 But there was only so far I could go, 65 00:04:26,366 --> 00:04:28,396 because when economists give advice, 66 00:04:28,396 --> 00:04:31,704 it always has to be based on empirical evidence, 67 00:04:31,704 --> 00:04:36,204 and what I learned is that there was no comprehensive database 68 00:04:36,204 --> 00:04:39,354 tracking the human rights performance of countries. 69 00:04:40,547 --> 00:04:42,047 This is a problem. 70 00:04:42,462 --> 00:04:44,062 This was a problem. 71 00:04:45,048 --> 00:04:47,302 When you’re assessing the state of the world, 72 00:04:47,302 --> 00:04:52,605 chances are you’re going to be looking first at the things you’ve got data for: 73 00:04:52,605 --> 00:04:55,805 income per person, trade and investment flows, 74 00:04:55,805 --> 00:04:57,385 carbon emissions ... 75 00:04:57,787 --> 00:05:00,022 It’s very difficult for any government 76 00:05:00,022 --> 00:05:02,922 to put human rights at the heart of its agenda, 77 00:05:02,922 --> 00:05:05,752 if they don’t have the data they need. 78 00:05:07,047 --> 00:05:11,307 After that, I just couldn’t let go of the fact that there was this data gap. 79 00:05:11,729 --> 00:05:14,703 A few years later, after moving back to New Zealand, 80 00:05:14,703 --> 00:05:18,197 I can remember being at home with my son when he was little, 81 00:05:18,197 --> 00:05:21,542 and after putting him to bed for his afternoon nap, 82 00:05:21,542 --> 00:05:24,937 I felt this magnetic pull back to the computer 83 00:05:24,937 --> 00:05:28,286 where I was researching who was measuring human rights. 84 00:05:28,286 --> 00:05:32,686 I was contacting the world’s experts and asking them questions. 85 00:05:33,461 --> 00:05:36,941 Why were human rights not being systematically measured? 86 00:05:37,516 --> 00:05:38,816 Could it be done? 87 00:05:39,985 --> 00:05:43,225 Lots of the emails I sent got no reply. 88 00:05:44,592 --> 00:05:46,172 But many of them did. 89 00:05:46,822 --> 00:05:48,512 There were a few people who told me 90 00:05:48,512 --> 00:05:51,522 that this idea of systematically tracking human rights 91 00:05:51,522 --> 00:05:54,594 was a good idea, but too ambitious 92 00:05:56,379 --> 00:06:00,759 Only one or two people told me it was impossible, ridiculous even. 93 00:06:01,307 --> 00:06:03,077 I wasn’t too bothered. 94 00:06:03,409 --> 00:06:06,469 My philosophy was to go where the energy was. 95 00:06:06,798 --> 00:06:08,310 And by following the energy, 96 00:06:08,310 --> 00:06:11,920 I linked up with two super clever human rights academics 97 00:06:11,920 --> 00:06:13,518 who shared my vision, 98 00:06:13,518 --> 00:06:15,418 Susan Randolph and Chad Clay, 99 00:06:15,418 --> 00:06:19,195 and together we founded the Human Rights Measurement Initiative, 100 00:06:19,195 --> 00:06:21,145 or HRMI (pronounced 'hermi') for short. 101 00:06:22,515 --> 00:06:25,851 Even before HRMI had $1 of funding, 102 00:06:25,851 --> 00:06:30,752 we’ve been working with human rights practitioners from around the world 103 00:06:30,752 --> 00:06:32,802 to make sure that we produce data 104 00:06:32,802 --> 00:06:37,962 that accurately reflects the situation on the ground in different countries. 105 00:06:38,433 --> 00:06:41,062 Our goal is to make sure that you can see more 106 00:06:41,062 --> 00:06:44,632 than just those few headline cases, like Mr. Khashoggi's, 107 00:06:44,632 --> 00:06:46,352 that make it into the news. 108 00:06:46,352 --> 00:06:49,967 We are turning on more lights around the world. 109 00:06:50,656 --> 00:06:55,956 I feel both privileged and humbled to be able to do the work that I do 110 00:06:55,956 --> 00:07:01,695 because I know that in many other countries around the world 111 00:07:01,695 --> 00:07:07,122 human rights defenders are putting their lives at risk every single day, 112 00:07:07,122 --> 00:07:11,312 just for documenting the injustices that they see. 113 00:07:11,748 --> 00:07:17,091 So I’m really pleased that HRMI is helping to amplify the voices 114 00:07:17,091 --> 00:07:19,111 of these amazing people 115 00:07:19,111 --> 00:07:22,361 so that their work can have more impact. 116 00:07:22,361 --> 00:07:26,201 And I’m really pleased that the collective vision that HRMI has 117 00:07:26,201 --> 00:07:30,031 is no longer just a vision; it’s now a collective endeavour. 118 00:07:30,339 --> 00:07:35,557 We already have hundreds of human rights practitioners around the world 119 00:07:35,557 --> 00:07:40,547 contributing, on a volunteer basis, their time and knowledge 120 00:07:40,547 --> 00:07:44,627 to help turn on more lights, fill these data gaps, 121 00:07:45,537 --> 00:07:48,287 bring more attention to what really matters. 122 00:07:50,706 --> 00:07:54,706 So how do we measure the human rights performance of countries? 123 00:07:55,412 --> 00:07:58,662 So far, we’ve got two main methodologies. 124 00:07:59,415 --> 00:08:04,065 First, whenever possible, we use publicly available statistics. 125 00:08:04,602 --> 00:08:06,236 For Quality of Life rights, 126 00:08:06,236 --> 00:08:11,046 things like the rights to food, education, health, housing and work, 127 00:08:11,496 --> 00:08:15,156 this gives us really great country coverage. 128 00:08:15,791 --> 00:08:19,865 This map shows, in blue, all 169 countries 129 00:08:19,865 --> 00:08:23,345 where we are tracking country performance on the right to health. 130 00:08:23,915 --> 00:08:27,634 A lot of the statistical indicators that we look at are the same ones 131 00:08:27,634 --> 00:08:32,084 used to monitor the United Nations' Sustainable Development Goals. 132 00:08:32,434 --> 00:08:36,727 But here’s the difference: we don’t just look at the raw statistics. 133 00:08:36,727 --> 00:08:39,037 We do something much more vital. 134 00:08:39,037 --> 00:08:43,888 We convert them into numbers that make sense from a human rights perspective. 135 00:08:44,750 --> 00:08:47,560 To do this, we have adopted an award-winning approach 136 00:08:47,560 --> 00:08:51,898 that was developed by my HRMI co-founder, Susan, and her colleagues. 137 00:08:51,913 --> 00:08:56,433 And what it does is it judges each country by a different benchmark 138 00:08:56,433 --> 00:08:59,640 depending on that country’s level of income. 139 00:08:59,640 --> 00:09:03,515 So both richer countries and poorer countries will get low scores 140 00:09:03,515 --> 00:09:06,385 if they’re not using their available resources 141 00:09:06,399 --> 00:09:09,948 as effectively as other countries at those income levels have done; 142 00:09:09,948 --> 00:09:12,738 for example, to bring about good health outcomes. 143 00:09:13,465 --> 00:09:15,628 This approach is genius, 144 00:09:16,198 --> 00:09:19,268 not only because it measures how countries are doing 145 00:09:19,268 --> 00:09:23,460 on the basis of how these rights are defined in international law, 146 00:09:23,460 --> 00:09:26,325 but also because it’s just logical. 147 00:09:26,325 --> 00:09:31,413 It makes sense to hold high income countries to a higher standard of account 148 00:09:31,413 --> 00:09:32,962 for their health outcomes 149 00:09:32,962 --> 00:09:35,144 than poorer countries, right? 150 00:09:36,032 --> 00:09:40,642 Second, for civil and political rights, we collect the data ourselves. 151 00:09:41,201 --> 00:09:43,223 These rights include all sorts of things 152 00:09:43,223 --> 00:09:47,773 from killings and torture to voting rights and free speech. 153 00:09:48,540 --> 00:09:51,773 You might be surprised to learn that these are all things 154 00:09:51,773 --> 00:09:55,293 that official statistics just don’t keep track of. 155 00:09:56,153 --> 00:09:59,449 So we brought in experts from Amnesty International, 156 00:09:59,449 --> 00:10:01,854 organisations like Human Rights Watch, 157 00:10:01,854 --> 00:10:06,877 and together we developed an expert survey so that we could collect this information 158 00:10:06,877 --> 00:10:10,847 from people who are monitoring events on the ground in each country. 159 00:10:12,332 --> 00:10:16,882 We’re really happy with how well our expert survey is working out. 160 00:10:16,882 --> 00:10:20,172 So far, we have data for these 19 countries, 161 00:10:20,172 --> 00:10:22,772 and that number is growing every year. 162 00:10:23,316 --> 00:10:26,046 Most importantly, people tell us 163 00:10:26,046 --> 00:10:31,236 that our scores accurately reflect the situation on the ground 164 00:10:31,236 --> 00:10:34,555 in the countries that they are knowledgeable about. 165 00:10:37,061 --> 00:10:41,286 Let me introduce you to some of our data insights 166 00:10:41,286 --> 00:10:44,556 by sharing with you one quiz question. 167 00:10:45,918 --> 00:10:49,152 'Which of these countries performs best 168 00:10:50,172 --> 00:10:55,482 on respecting the right to freedom from extrajudicial execution? 169 00:10:56,982 --> 00:11:02,332 Jordan, Venezuela, Saudi Arabia, the United States or Mexico?' 170 00:11:02,834 --> 00:11:04,473 Now, while you think about it, 171 00:11:04,473 --> 00:11:06,973 just let me give you a little more information. 172 00:11:07,583 --> 00:11:09,005 First, a definition: 173 00:11:09,005 --> 00:11:12,545 extrajudicial killings are killings by government agents, 174 00:11:12,545 --> 00:11:14,884 like what happened to Mr. Khashoggi, 175 00:11:14,884 --> 00:11:17,904 but more commonly things like police shootings. 176 00:11:18,791 --> 00:11:22,591 And let me also tell you a little more about where the scores come from. 177 00:11:23,010 --> 00:11:25,655 In February and March this year, 178 00:11:25,655 --> 00:11:30,405 we sent our expert survey to people monitoring human rights 179 00:11:30,405 --> 00:11:33,627 in all five of these countries, and others, 180 00:11:33,627 --> 00:11:37,857 and each person told us how well they think their country is doing 181 00:11:37,857 --> 00:11:40,555 on respecting this right, and others. 182 00:11:40,555 --> 00:11:44,425 And we use some really sophisticated statistical techniques 183 00:11:44,425 --> 00:11:47,059 for ensuring that different people’s responses 184 00:11:47,059 --> 00:11:50,016 can be made comparable with one another. 185 00:11:52,344 --> 00:11:54,292 Okay, so do you have in mind 186 00:11:54,292 --> 00:11:57,075 what you think the answer to this question is? 187 00:11:58,521 --> 00:12:00,429 The answer is Jordan. 188 00:12:00,761 --> 00:12:05,957 And here you can see the scores for all five of these countries. 189 00:12:07,211 --> 00:12:11,149 The little vertical solid lines that you see are our best estimate 190 00:12:11,149 --> 00:12:13,759 of what the score is for each country. 191 00:12:15,038 --> 00:12:18,728 Countries with wider uncertainty bands, like Saudi Arabia’s, 192 00:12:18,728 --> 00:12:23,478 tell us that we are less certain exactly where the true score lies, 193 00:12:23,478 --> 00:12:28,240 perhaps because there may have been less agreement 194 00:12:28,240 --> 00:12:32,370 among the respondents who filled in our survey for Saudi Arabia. 195 00:12:33,114 --> 00:12:35,341 Narrower uncertainty bands, like Mexico’s, 196 00:12:35,341 --> 00:12:39,221 tell us that we are more certain about what the score is for that country. 197 00:12:40,012 --> 00:12:42,292 The overlap of the bands is important. 198 00:12:42,292 --> 00:12:45,872 We can be confident that Jordan is performing better than Venezuela 199 00:12:45,872 --> 00:12:48,706 because their bands don’t overlap. 200 00:12:48,706 --> 00:12:52,446 We're less confident exactly what the relative ranking would be 201 00:12:52,446 --> 00:12:54,504 of the countries that come next. 202 00:12:55,572 --> 00:12:59,817 Of course this is just a subset of all the countries we have data for. 203 00:12:59,817 --> 00:13:02,037 Let me add in some more. 204 00:13:02,827 --> 00:13:07,657 Here you can see New Zealand, Australia, South Korea and the United Kingdom. 205 00:13:08,148 --> 00:13:10,645 No country gets a perfect score 206 00:13:10,645 --> 00:13:13,195 because in every country, even New Zealand, 207 00:13:13,195 --> 00:13:15,215 there is room for improvement. 208 00:13:16,422 --> 00:13:18,452 How is this information useful? 209 00:13:19,376 --> 00:13:22,056 HRMI is not an advocacy organisation, 210 00:13:22,056 --> 00:13:26,926 so we don’t tell governments what they could be doing differently. 211 00:13:26,926 --> 00:13:29,694 But you can use our data for that purpose. 212 00:13:30,442 --> 00:13:32,906 So let’s say your country had a lowish score, 213 00:13:32,906 --> 00:13:35,665 so it’s down this end of the scale, 214 00:13:35,666 --> 00:13:37,657 and you want to move it that way. 215 00:13:37,657 --> 00:13:39,417 What can you do? 216 00:13:39,417 --> 00:13:43,367 I’m sure the possibilities are endless, but let’s just discuss a few. 217 00:13:43,919 --> 00:13:49,889 You could encourage your country to embark on the challenging but vital task 218 00:13:49,889 --> 00:13:52,119 of retraining your police force. 219 00:13:52,493 --> 00:13:56,230 You could meet with vulnerable and minority groups 220 00:13:56,230 --> 00:14:00,900 and take their advice on how to reform your institutions. 221 00:14:01,573 --> 00:14:06,608 You could look at the laws and policies of your better-performing neighbours 222 00:14:06,608 --> 00:14:09,548 and you could also choose to do better. 223 00:14:10,774 --> 00:14:16,034 We have a scoreboard like this for eight different civil and political rights, 224 00:14:16,034 --> 00:14:19,628 and for each one of them, for each country and for each right, 225 00:14:19,628 --> 00:14:24,618 we also collect information on what is driving their scores. 226 00:14:24,855 --> 00:14:26,373 So let’s say you wanted to know 227 00:14:26,373 --> 00:14:31,153 why the United States is performing so poorly on this right. 228 00:14:32,123 --> 00:14:34,125 You could learn that part of the reason 229 00:14:34,125 --> 00:14:38,505 is because there are too many police shootings of people of colour. 230 00:14:38,946 --> 00:14:41,836 Our US experts told us 231 00:14:41,836 --> 00:14:47,546 that the people who are most at risk of extrajudicial killing in the United States 232 00:14:47,546 --> 00:14:49,708 are African Americans, 233 00:14:50,206 --> 00:14:52,182 Latinx people, 234 00:14:53,216 --> 00:14:55,231 Native Americans, 235 00:14:56,068 --> 00:14:58,891 and children detained at the border. 236 00:15:01,450 --> 00:15:03,801 These insights I've shared from our database 237 00:15:03,801 --> 00:15:07,181 are just some of the thousands that you can find there, 238 00:15:07,181 --> 00:15:12,601 and that’s before we have even expanded our survey to all countries in the world. 239 00:15:15,275 --> 00:15:18,948 I know that all of this can feel quite heavy. 240 00:15:19,424 --> 00:15:21,185 That’s because it is. 241 00:15:22,853 --> 00:15:24,306 So I’m happy to share with you 242 00:15:24,306 --> 00:15:28,576 that we also have some really positive, good news stories 243 00:15:28,576 --> 00:15:30,896 in HRMI’s database as well. 244 00:15:31,686 --> 00:15:34,826 Here’s a good news chart from the Africa region. 245 00:15:35,760 --> 00:15:40,038 Each of the coloured sections shows you one Quality of Life right, 246 00:15:40,038 --> 00:15:45,128 and what you can see is there has been slow but gradual improvement 247 00:15:45,128 --> 00:15:49,628 in the performance, on average, across the African continent. 248 00:15:50,026 --> 00:15:51,937 And the good news story gets even better 249 00:15:51,947 --> 00:15:56,537 because HRMI data also show a gradual trend improvement 250 00:15:56,537 --> 00:16:01,647 in the fulfillment of these rights in all regions of the world. 251 00:16:02,325 --> 00:16:06,418 This is a really positive human rights story. 252 00:16:06,418 --> 00:16:09,930 I love it and it fills me with a lot of hope. 253 00:16:12,141 --> 00:16:13,714 One thing that I’ve noticed 254 00:16:13,714 --> 00:16:19,714 since making my career transition from economist to co-founder of HRMI, 255 00:16:20,244 --> 00:16:24,082 is that when I catch up with old friends and I tell them 256 00:16:24,082 --> 00:16:28,352 that what I’m now doing is measuring the human rights performance of countries, 257 00:16:28,352 --> 00:16:32,542 I sometimes get these kind of somewhat blank looks. 258 00:16:32,826 --> 00:16:36,501 When I used to tell people that I was helping to improve economic performance, 259 00:16:36,501 --> 00:16:39,848 I would get more nods of understanding. 260 00:16:39,848 --> 00:16:41,318 And I get it. 261 00:16:41,318 --> 00:16:46,858 The economy is really well measured. People are used to hearing about it. 262 00:16:47,993 --> 00:16:53,147 By contrast, human rights have been under-reported, under-measured 263 00:16:53,147 --> 00:16:55,790 and overlooked for too long. 264 00:16:56,547 --> 00:16:58,167 Let’s change that. 265 00:17:00,328 --> 00:17:02,723 Shedding a light on human rights 266 00:17:02,723 --> 00:17:07,243 and bringing about a massive change in the way our world works 267 00:17:07,243 --> 00:17:09,995 is a huge global collaborative challenge, 268 00:17:09,995 --> 00:17:11,775 and you can help. 269 00:17:11,775 --> 00:17:15,395 We have started by shedding a light on your country. 270 00:17:15,420 --> 00:17:18,260 What does it reveal that you can act on? 271 00:17:19,542 --> 00:17:22,192 What will you demand of your leaders? 272 00:17:22,490 --> 00:17:24,948 What other countries can inspire yours 273 00:17:24,948 --> 00:17:28,328 to better and bolder respect for human rights? 274 00:17:28,873 --> 00:17:34,995 What if world’s leaders summoned their advisors and demanded answers? 275 00:17:34,995 --> 00:17:39,306 What if they said not just, ‘Tell me how to improve our economic performance!’, 276 00:17:39,306 --> 00:17:43,536 but, ‘Tell me how to improve our human rights performance'? 277 00:17:47,162 --> 00:17:49,951 Numbers are not as sexy as stories. 278 00:17:49,951 --> 00:17:52,058 They don’t pull on the heartstrings 279 00:17:52,058 --> 00:17:53,716 in the same way. 280 00:17:54,218 --> 00:17:59,888 But each one helps to light up our world, showing us the way ahead. 281 00:18:00,882 --> 00:18:05,292 Numbers help us figure out what needs to change, and how. 282 00:18:05,768 --> 00:18:09,638 Let’s build a world where countries are competing, 283 00:18:10,428 --> 00:18:14,198 not just in sport and to see who can be the richest, 284 00:18:14,198 --> 00:18:17,405 but to see who can treat their people the best. 285 00:18:19,041 --> 00:18:21,301 Let’s measure what we treasure. 286 00:18:22,054 --> 00:18:23,360 Thank you. 287 00:18:23,360 --> 00:18:25,770 (Applause)