1 00:00:01,739 --> 00:00:03,248 I study rumors. 2 00:00:03,904 --> 00:00:05,468 Not tabloid gossip 3 00:00:05,468 --> 00:00:08,978 or the kind of rumors that are making stock markets crash -- 4 00:00:08,978 --> 00:00:10,577 or soar -- 5 00:00:10,577 --> 00:00:13,442 but the kind of rumors that affect your health ... 6 00:00:13,442 --> 00:00:14,934 and the world's health. 7 00:00:15,302 --> 00:00:17,822 Like eating a lot of garlic 8 00:00:17,822 --> 00:00:19,117 or drinking a lot of water 9 00:00:19,117 --> 00:00:22,158 is going to help protect us from coronavirus -- 10 00:00:22,158 --> 00:00:23,358 if only. 11 00:00:24,325 --> 00:00:26,324 Rumors have a bad reputation. 12 00:00:26,947 --> 00:00:28,950 They're seen as not fact, 13 00:00:28,950 --> 00:00:30,484 wrong, 14 00:00:30,484 --> 00:00:32,607 or "just a rumor." 15 00:00:33,199 --> 00:00:35,799 But I've studied rumors for years, 16 00:00:35,799 --> 00:00:39,617 and one thing I've learned is that they all have a story, 17 00:00:39,617 --> 00:00:41,945 and often, an important story. 18 00:00:42,190 --> 00:00:48,253 One of the most moving or alarming rumor episodes that I investigated 19 00:00:48,253 --> 00:00:50,286 was in northern Nigeria. 20 00:00:50,604 --> 00:00:53,961 I was working with UNICEF's Global Immunization programme. 21 00:00:55,002 --> 00:00:59,018 And it wasn't the rumors themselves that I found so alarming; 22 00:00:59,018 --> 00:01:01,798 It was the global impact of those rumors. 23 00:01:03,079 --> 00:01:04,929 The rumors were suspecting 24 00:01:04,929 --> 00:01:09,325 that the polio vaccine was actually a contraceptive. 25 00:01:09,325 --> 00:01:12,244 It was controlling populations -- 26 00:01:12,244 --> 00:01:15,379 or maybe it caused AIDS. 27 00:01:16,225 --> 00:01:20,220 No, no, maybe it's the CIA spying on them or counting them. 28 00:01:20,505 --> 00:01:26,297 I mean, why else would they have people knocking on their door again and again 29 00:01:26,297 --> 00:01:29,411 with the same polio vaccine? 30 00:01:29,665 --> 00:01:32,550 When children were dying of measles, 31 00:01:32,550 --> 00:01:35,550 no one was coming with measles vaccines. 32 00:01:37,693 --> 00:01:40,890 This wasn't about getting the facts right. 33 00:01:40,890 --> 00:01:42,608 This was about trust. 34 00:01:42,964 --> 00:01:44,826 It was about broken trust. 35 00:01:45,475 --> 00:01:47,510 Why so much distrust? 36 00:01:47,999 --> 00:01:51,652 It wasn't the mothers who were particularly distrusting, actually. 37 00:01:51,842 --> 00:01:53,644 It was the local leaders, 38 00:01:53,644 --> 00:01:55,385 the religious leaders, 39 00:01:55,385 --> 00:01:56,957 the local political leaders. 40 00:01:57,231 --> 00:02:00,520 It was the governor of the state of Kano 41 00:02:00,520 --> 00:02:02,361 who decided to boycott 42 00:02:02,361 --> 00:02:07,096 the entire polio eradication effort in that state ... 43 00:02:07,096 --> 00:02:09,239 for 11 months. 44 00:02:10,002 --> 00:02:12,048 Why such distrust? 45 00:02:12,609 --> 00:02:14,663 Well, it was 2003. 46 00:02:15,127 --> 00:02:18,111 It was two years after 9/11. 47 00:02:18,592 --> 00:02:21,951 And they were convinced that the West, 48 00:02:21,951 --> 00:02:24,035 and particularly the United States, 49 00:02:24,035 --> 00:02:26,042 was at war with Muslims. 50 00:02:26,393 --> 00:02:28,645 And they knew that the West, 51 00:02:28,645 --> 00:02:30,900 and particularly the United States, 52 00:02:30,900 --> 00:02:32,621 was a huge supporter -- 53 00:02:32,621 --> 00:02:33,993 and funder -- 54 00:02:33,993 --> 00:02:36,672 of the global polio eradication initiative. 55 00:02:36,950 --> 00:02:38,851 They had their reasoning. 56 00:02:39,700 --> 00:02:42,670 That lack of trust, 57 00:02:42,670 --> 00:02:46,165 that "just a rumor or two" 58 00:02:46,165 --> 00:02:52,364 cost the polio eradication program 500 million dollars 59 00:02:52,364 --> 00:02:54,054 to reset the clock, 60 00:02:54,054 --> 00:02:57,990 to regain the progress lost during those 11 months 61 00:02:57,990 --> 00:02:59,342 and beyond. 62 00:02:59,603 --> 00:03:05,507 The Nigerian strain of the polio virus traveled to over 20 countries, 63 00:03:05,507 --> 00:03:07,567 as far as Indonesia. 64 00:03:08,706 --> 00:03:10,655 The cost of a rumor. 65 00:03:11,795 --> 00:03:15,989 The Nigeria episode was one of many episodes that I investigated 66 00:03:15,989 --> 00:03:17,432 when I was with UNICEF 67 00:03:17,432 --> 00:03:22,258 and earned the title of the "director of UNICEF's fire department." 68 00:03:22,891 --> 00:03:23,886 (Laughing) 69 00:03:23,886 --> 00:03:24,848 We -- 70 00:03:24,848 --> 00:03:27,939 at that point I realized I never really had enough time. 71 00:03:28,309 --> 00:03:30,396 I was too busy putting out the fires, 72 00:03:30,396 --> 00:03:32,475 and not enough time to understand 73 00:03:32,475 --> 00:03:36,495 what was driving not just the individual episodes, 74 00:03:36,495 --> 00:03:40,727 but why was there an epidemic of these happening around the world. 75 00:03:41,289 --> 00:03:45,086 I left UNICEF and went back to research -- 76 00:03:45,086 --> 00:03:47,274 applied research -- 77 00:03:47,274 --> 00:03:54,189 and I set up in 2010 what I called the Vaccine Confidence Project 78 00:03:54,189 --> 00:03:57,575 at the London School of Hygiene and Tropical Medicine. 79 00:03:58,251 --> 00:04:00,189 I convened anthropologists, 80 00:04:00,189 --> 00:04:01,501 epidemiologists, 81 00:04:01,501 --> 00:04:03,022 psychologists, 82 00:04:03,022 --> 00:04:06,023 digital media specialists 83 00:04:06,023 --> 00:04:07,898 and mathematical modelers. 84 00:04:08,499 --> 00:04:10,878 We set ourselves the task 85 00:04:10,878 --> 00:04:15,196 to investigate historic episodes of rumors 86 00:04:15,196 --> 00:04:17,133 and their impacts, 87 00:04:17,133 --> 00:04:21,185 from trying to figure out what were the early signals, 88 00:04:21,185 --> 00:04:22,990 what were the amplifying factors 89 00:04:22,990 --> 00:04:24,734 and the impacts, 90 00:04:24,734 --> 00:04:26,551 how did they get traction, 91 00:04:26,551 --> 00:04:30,486 so we could start to understand what we should be looking for, 92 00:04:30,486 --> 00:04:32,160 how we could help governments 93 00:04:32,160 --> 00:04:37,101 and immunization programs be more alert and responsive 94 00:04:37,101 --> 00:04:39,588 to early signals of problems. 95 00:04:40,067 --> 00:04:42,060 It was an early warning system. 96 00:04:42,622 --> 00:04:46,943 In 2015, we developed a vaccine confidence index. 97 00:04:47,540 --> 00:04:53,737 It's a survey trying to investigate to what extent do people agree 98 00:04:53,737 --> 00:04:56,811 or disagree that vaccines are important, 99 00:04:56,811 --> 00:04:58,148 they're safe, 100 00:04:58,148 --> 00:04:59,259 they're effective -- 101 00:04:59,259 --> 00:05:00,391 they work -- 102 00:05:00,391 --> 00:05:03,448 and somehow they're compatible with my religious beliefs. 103 00:05:03,888 --> 00:05:08,585 We've run this with over hundreds of thousands of people around the world, 104 00:05:08,585 --> 00:05:13,817 trying to get our finger on the pulse of confidence and trust, 105 00:05:13,817 --> 00:05:19,819 but also, more importantly, looking at when that trust goes up or down, 106 00:05:19,819 --> 00:05:23,411 because we want to see when it starts to decline, 107 00:05:23,411 --> 00:05:25,773 that's the time to jump in, 108 00:05:25,773 --> 00:05:30,769 to get there before there's a crisis like the Nigerian one. 109 00:05:31,667 --> 00:05:36,838 We also set up 24-7 media and social media monitoring around the world -- 110 00:05:36,838 --> 00:05:38,596 multilanguage -- 111 00:05:38,596 --> 00:05:42,956 listening for what's going on in vaccine conversations, 112 00:05:42,956 --> 00:05:46,861 trying to pick up early concerns or changes in sentiment 113 00:05:46,861 --> 00:05:48,996 that we should be paying attention to. 114 00:05:49,344 --> 00:05:54,236 We've created an ecosystem of different types of information 115 00:05:54,236 --> 00:05:55,983 to try to understand: 116 00:05:55,983 --> 00:05:59,749 what are the public thinking and how can we engage? 117 00:06:00,289 --> 00:06:01,760 We look for early signals. 118 00:06:01,760 --> 00:06:03,222 When we find one, 119 00:06:03,222 --> 00:06:07,012 we have a global network of collaborators in a number of countries 120 00:06:07,012 --> 00:06:09,794 who have more local intelligence in that setting 121 00:06:09,794 --> 00:06:11,510 to try to understand -- 122 00:06:11,510 --> 00:06:13,865 is this signal misinformation, 123 00:06:13,865 --> 00:06:16,654 or is something brewing that we should know about? 124 00:06:17,449 --> 00:06:19,338 In London, we have a bigger picture. 125 00:06:19,338 --> 00:06:23,609 We watch the swarms of rumors not just traveling locally 126 00:06:23,609 --> 00:06:25,245 but jumping countries. 127 00:06:25,563 --> 00:06:29,221 We've seen them jump from Japan over to Columbia, 128 00:06:29,221 --> 00:06:31,097 through Europe and around. 129 00:06:31,270 --> 00:06:32,459 They move. 130 00:06:32,499 --> 00:06:35,563 We live in a hyper-connected environment. 131 00:06:36,053 --> 00:06:38,992 One of the things that we found fascinating, 132 00:06:38,992 --> 00:06:41,326 and we've learned a lot in the last 10 years -- 133 00:06:41,326 --> 00:06:43,830 this is our 10th anniversary, 134 00:06:43,830 --> 00:06:45,367 this didn't start yesterday, 135 00:06:45,367 --> 00:06:46,958 this rumor problem -- 136 00:06:46,958 --> 00:06:48,752 and one of the things we've learned 137 00:06:48,752 --> 00:06:51,053 is in our global monitoring, 138 00:06:51,053 --> 00:06:55,081 that Europe is the most skeptical region in the world. 139 00:06:55,357 --> 00:06:57,324 France won the prize, actually. 140 00:06:57,503 --> 00:06:58,495 (Laughter) 141 00:06:58,495 --> 00:06:59,631 By far. 142 00:07:00,119 --> 00:07:04,246 And actually some of those rumors have traveled to other parts of the world. 143 00:07:05,114 --> 00:07:07,261 But we were trying to understand Europe. 144 00:07:07,261 --> 00:07:08,258 Hmm. 145 00:07:08,258 --> 00:07:09,257 Why Europe? 146 00:07:09,257 --> 00:07:11,229 I thought the US was really -- 147 00:07:11,229 --> 00:07:13,093 had some of the most skepticism, 148 00:07:13,093 --> 00:07:15,253 but boy, I was wrong. 149 00:07:15,492 --> 00:07:16,923 And a political scientist, 150 00:07:16,923 --> 00:07:18,564 a colleague we work with, 151 00:07:18,564 --> 00:07:20,248 Jon Kennedy, 152 00:07:20,248 --> 00:07:24,242 he took our data from 28 European countries 153 00:07:24,242 --> 00:07:25,528 and he looked at it 154 00:07:25,528 --> 00:07:28,447 and correlated it with political opinion polling. 155 00:07:29,323 --> 00:07:30,896 And what did he find? 156 00:07:31,095 --> 00:07:37,242 He found that people who are most likely to vote for a populist party 157 00:07:37,242 --> 00:07:40,795 also were the ones most likely to strongly disagree 158 00:07:40,795 --> 00:07:43,844 that vaccines were important, safe or effective. 159 00:07:44,439 --> 00:07:45,798 What did we learn? 160 00:07:46,116 --> 00:07:51,187 Vaccines cannot escape the politcal and social turbulance 161 00:07:51,187 --> 00:07:52,562 that surrounds it. 162 00:07:52,726 --> 00:07:57,978 Scientists were unprepared for this tsunami of doubt 163 00:07:57,978 --> 00:07:59,173 and questions 164 00:07:59,173 --> 00:08:00,462 and distrust. 165 00:08:00,757 --> 00:08:01,842 What -- 166 00:08:01,842 --> 00:08:05,592 why are vaccines so ripe for resistance? 167 00:08:06,229 --> 00:08:08,133 Well, we identified a number of things, 168 00:08:08,133 --> 00:08:09,401 but one: 169 00:08:09,401 --> 00:08:14,129 they're highly mediated by government that requires, regulates 170 00:08:14,129 --> 00:08:17,973 and sometimes recommends vaccines -- 171 00:08:17,973 --> 00:08:20,933 or often recommends and sometimes requires. 172 00:08:22,114 --> 00:08:24,446 Big business makes vaccines, 173 00:08:24,446 --> 00:08:25,989 and neither institution, 174 00:08:25,989 --> 00:08:27,981 government or big business, 175 00:08:27,981 --> 00:08:30,783 are high in the trust ranks these days. 176 00:08:31,231 --> 00:08:34,951 And then there's scientists who discover and develop vaccines, 177 00:08:34,951 --> 00:08:36,882 and they're pretty elite 178 00:08:36,882 --> 00:08:39,540 and not accessible to the general public, 179 00:08:39,540 --> 00:08:41,617 at least the language they speak. 180 00:08:42,780 --> 00:08:48,396 Third, we're in a hyper-connected environment with social media these days, 181 00:08:48,396 --> 00:08:55,324 and people can share their unfettered views, concerns, anxieties and worries 182 00:08:55,324 --> 00:08:58,607 and find a lot of people that think the way they do, 183 00:08:58,607 --> 00:09:04,374 and think maybe their worries are worth paying attention to. 184 00:09:04,982 --> 00:09:06,332 And finally, 185 00:09:06,332 --> 00:09:10,667 vaccines touch every single life on the planet. 186 00:09:11,190 --> 00:09:13,652 What other health intervention, 187 00:09:13,652 --> 00:09:15,824 besides water, 188 00:09:15,824 --> 00:09:18,406 touches every single life? 189 00:09:19,078 --> 00:09:22,155 So if you're looking for something to disrupt, 190 00:09:22,155 --> 00:09:23,998 it's a perfect stage. 191 00:09:25,089 --> 00:09:29,567 Perhaps that's one of the reasons that we need to pay more attention 192 00:09:29,567 --> 00:09:32,772 and rebuild our trust in issues. 193 00:09:33,177 --> 00:09:35,824 People are asking all kinds of questions. 194 00:09:36,558 --> 00:09:38,241 They're asking, 195 00:09:38,241 --> 00:09:40,209 why are vaccines -- 196 00:09:40,209 --> 00:09:44,091 and these are the kinds of things we're hearing in our social media -- 197 00:09:44,091 --> 00:09:49,356 why can't my child have a personalized vaccination schedule? 198 00:09:50,151 --> 00:09:52,807 What's the wisdom of so many vaccines? 199 00:09:54,010 --> 00:09:57,207 What about all those ingredients and preservatives? 200 00:09:57,784 --> 00:09:59,939 These are not crazy people, 201 00:09:59,939 --> 00:10:02,307 they're not uneducated; 202 00:10:02,307 --> 00:10:04,480 they're actually worried mothers. 203 00:10:05,363 --> 00:10:10,578 But some of them have come to me and said we feel ignored, 204 00:10:10,578 --> 00:10:13,842 we feel judged if we ask a question, 205 00:10:13,842 --> 00:10:15,524 and we even feel demonized 206 00:10:15,524 --> 00:10:18,732 that maybe we're part of some antivaccine group. 207 00:10:20,067 --> 00:10:22,088 So we have some listening to do. 208 00:10:22,651 --> 00:10:25,230 And maybe that's why last year, 209 00:10:25,230 --> 00:10:27,249 there was research that found 210 00:10:27,249 --> 00:10:33,450 that in six months in 2019, 211 00:10:33,450 --> 00:10:34,732 online -- 212 00:10:34,732 --> 00:10:36,223 this was with hundreds -- 213 00:10:36,223 --> 00:10:40,269 100 million different users on social media -- 214 00:10:40,269 --> 00:10:45,999 although the numbers of individuals who expressed in their online groups 215 00:10:45,999 --> 00:10:47,720 they were positive, 216 00:10:47,720 --> 00:10:49,112 as groups, 217 00:10:49,112 --> 00:10:51,478 the ones who are the most negative 218 00:10:51,478 --> 00:10:55,402 were recruiting the conversations in the middle 219 00:10:55,402 --> 00:10:59,173 that were undecided about whether they wanted to get vaccines. 220 00:10:59,642 --> 00:11:01,156 The highly negative -- 221 00:11:01,156 --> 00:11:03,605 what we might call the antivaccine groups -- 222 00:11:03,605 --> 00:11:06,727 were recruiting the undecided 223 00:11:06,727 --> 00:11:11,324 at a rate 500 percent faster 224 00:11:11,324 --> 00:11:13,566 than the pro-vaccine groups. 225 00:11:14,096 --> 00:11:15,891 500 percent faster. 226 00:11:16,591 --> 00:11:17,839 They were more nimble, 227 00:11:17,839 --> 00:11:19,278 they were responsive 228 00:11:19,278 --> 00:11:20,772 and they were listening. 229 00:11:20,772 --> 00:11:24,222 Most people believe that vaccines are good 230 00:11:24,222 --> 00:11:26,185 and they believe in their importance. 231 00:11:26,663 --> 00:11:28,799 But that belief is under attack. 232 00:11:29,410 --> 00:11:33,434 We need to build in more opportunities for conversation. 233 00:11:33,869 --> 00:11:35,598 And there are ways to do it. 234 00:11:35,841 --> 00:11:38,518 It's not easy for some health professionals 235 00:11:38,518 --> 00:11:41,933 to have conversations where their authority is questioned. 236 00:11:42,380 --> 00:11:44,047 It's uncomfortable. 237 00:11:44,362 --> 00:11:47,815 And they're just too busy to listen to all these questions. 238 00:11:48,338 --> 00:11:50,520 But we need to to do something about that 239 00:11:50,520 --> 00:11:54,191 because we're losing a lot of concerned parents 240 00:11:54,191 --> 00:11:56,709 that just want a conversation. 241 00:11:57,321 --> 00:12:01,700 We should get volunteers trained to sit in waiting rooms, 242 00:12:01,700 --> 00:12:03,630 to be on hotlines, 243 00:12:03,630 --> 00:12:05,997 to have online chat forums, 244 00:12:05,997 --> 00:12:07,616 to have chat boxes. 245 00:12:08,099 --> 00:12:09,541 In younger kids, 246 00:12:09,541 --> 00:12:11,548 with younger kids in school, 247 00:12:11,548 --> 00:12:13,908 teach them about immune systems 248 00:12:13,908 --> 00:12:15,607 and teach them that actually, 249 00:12:15,607 --> 00:12:18,159 you know that vaccine your little brother got? 250 00:12:18,159 --> 00:12:22,858 Well, it just inspired your natural immune system. 251 00:12:23,479 --> 00:12:26,551 It's a great thing and this is why. 252 00:12:27,494 --> 00:12:29,346 We need to build that confidence; 253 00:12:29,346 --> 00:12:30,883 we need to listen. 254 00:12:32,482 --> 00:12:35,214 Despite all this questioning -- 255 00:12:35,214 --> 00:12:36,775 and there's a lot of it -- 256 00:12:36,775 --> 00:12:40,867 I hear probably more than a lot of people -- 257 00:12:40,867 --> 00:12:42,275 I am an optimist. 258 00:12:42,526 --> 00:12:46,677 And my optimism is with a younger generation. 259 00:12:47,094 --> 00:12:52,641 The younger generation who actually now are becoming very aware 260 00:12:52,641 --> 00:12:55,091 of the risks of social media, 261 00:12:55,091 --> 00:12:56,887 the false news, 262 00:12:56,887 --> 00:12:59,705 the false identities, 263 00:12:59,705 --> 00:13:02,259 and they're starting to embrace science. 264 00:13:02,753 --> 00:13:08,386 And some of them are a group of children whose mothers refused to vaccinate them. 265 00:13:09,879 --> 00:13:13,385 Last spring of 2019, 266 00:13:13,385 --> 00:13:18,491 18-year-old Ethan Lindenberger went on Reddit 267 00:13:18,491 --> 00:13:20,020 and put out a post. 268 00:13:21,930 --> 00:13:24,637 "My mother doesn't believe in vaccines. 269 00:13:24,637 --> 00:13:27,328 She's really worried they cause autism. 270 00:13:27,550 --> 00:13:29,677 In fact, she strongly believes that. 271 00:13:30,017 --> 00:13:31,407 But I'm 18. 272 00:13:31,904 --> 00:13:33,582 I'm a senior in high school. 273 00:13:33,767 --> 00:13:35,297 I can drive a car, 274 00:13:35,297 --> 00:13:36,361 I can vote 275 00:13:36,361 --> 00:13:38,538 and I could go get my own vaccine. 276 00:13:38,809 --> 00:13:41,127 Can someone tell me where to get it?" 277 00:13:41,453 --> 00:13:43,639 That post went viral. 278 00:13:43,990 --> 00:13:47,746 It started to get a whole younger movement going. 279 00:13:49,397 --> 00:13:52,378 I saw Ethan speak at a conference, 280 00:13:52,378 --> 00:13:55,825 the Global Vaccine Summit at the EU last fall. 281 00:13:56,600 --> 00:13:58,568 He spoke eloquently, 282 00:13:58,568 --> 00:14:00,126 and I was impressed 283 00:14:00,126 --> 00:14:02,272 in front of a whole forum. 284 00:14:02,809 --> 00:14:04,877 He told his personal story, 285 00:14:04,877 --> 00:14:06,614 and then he said to the group, 286 00:14:06,614 --> 00:14:10,130 he said, "You know, everybody talks about misinformation, 287 00:14:10,130 --> 00:14:14,164 but I want to tell you about a different kind of misinformation, 288 00:14:14,164 --> 00:14:19,475 and that's misinformation that says that people like my mother, 289 00:14:19,475 --> 00:14:21,472 who is a loving mother, 290 00:14:21,472 --> 00:14:25,566 is a bad person because she doesn't give me vaccines. 291 00:14:26,237 --> 00:14:31,075 Well, I want to tell all of you that she didn't give me a vaccine 292 00:14:31,075 --> 00:14:33,149 because she loves me 293 00:14:33,149 --> 00:14:37,719 and because she believed that that was the best thing for me. 294 00:14:38,162 --> 00:14:39,629 I think differently 295 00:14:39,629 --> 00:14:42,284 and I will never change her mind, 296 00:14:42,284 --> 00:14:44,560 but she's not a bad person." 297 00:14:45,324 --> 00:14:48,096 That was the message from a teenager. 298 00:14:48,731 --> 00:14:51,982 Empathy, kindness and understanding. 299 00:14:53,068 --> 00:14:56,644 We have an abundance of scientific information 300 00:14:56,644 --> 00:14:58,842 to debunk false rumors. 301 00:14:59,616 --> 00:15:01,195 That's not our problem. 302 00:15:01,696 --> 00:15:04,266 We have a relationship problem, 303 00:15:04,266 --> 00:15:06,442 not a misinformation problem. 304 00:15:06,739 --> 00:15:09,352 Misinformation is the symptom, 305 00:15:09,352 --> 00:15:10,678 not the cause. 306 00:15:11,038 --> 00:15:13,001 If people trust, 307 00:15:13,001 --> 00:15:16,846 they'll put up with a little risk to avert a much bigger one. 308 00:15:17,489 --> 00:15:21,119 The one thing that I want and I hope for 309 00:15:21,119 --> 00:15:24,716 is that we as a medical and health community 310 00:15:24,716 --> 00:15:28,970 have the moral courage and humility 311 00:15:28,970 --> 00:15:31,398 to productively engage, 312 00:15:31,398 --> 00:15:32,801 like Ethan, 313 00:15:32,801 --> 00:15:35,328 with those who disagree with us. 314 00:15:35,889 --> 00:15:37,007 I hope so. 315 00:15:37,306 --> 00:15:38,411 Thank you. 316 00:15:38,550 --> 00:15:40,335 (Applause and cheers)