1 00:00:00,722 --> 00:00:04,212 We need to build a weather service for water. 2 00:00:04,236 --> 00:00:07,610 Yet, until we collectively demand accountability, 3 00:00:07,634 --> 00:00:10,470 the incentives to fund it will not exist. 4 00:00:11,805 --> 00:00:16,744 The first time I spoke at a conference was here at TED, eight years ago. 5 00:00:16,768 --> 00:00:19,056 Fresh out of grad school, little did I know 6 00:00:19,080 --> 00:00:20,934 that in those few minutes onstage, 7 00:00:20,958 --> 00:00:23,492 I was framing the questions I was going to be asked 8 00:00:23,516 --> 00:00:24,791 for the next decade. 9 00:00:25,599 --> 00:00:28,111 And, like too many 20-somethings, 10 00:00:28,135 --> 00:00:30,611 I expected to solve the world's problems -- 11 00:00:30,635 --> 00:00:33,387 more specifically, the world's water problems -- 12 00:00:33,411 --> 00:00:35,118 with my technology. 13 00:00:36,044 --> 00:00:37,458 I had a lot to learn. 14 00:00:38,630 --> 00:00:40,114 It was seductive, 15 00:00:40,138 --> 00:00:44,470 believing that our biggest water quality problems persist 16 00:00:44,494 --> 00:00:46,947 because they're so hard to identify. 17 00:00:47,532 --> 00:00:49,199 And I presumed 18 00:00:49,223 --> 00:00:54,303 that we just needed simpler, faster and more affordable sensors. 19 00:00:55,071 --> 00:00:56,375 I was wrong. 20 00:00:57,512 --> 00:01:01,635 While it's true that managing tomorrow's water risk 21 00:01:01,659 --> 00:01:05,729 is going to require better data and more technology, 22 00:01:05,753 --> 00:01:10,294 today we're barely using the little water data that we have. 23 00:01:10,814 --> 00:01:15,501 Our biggest water problems persist because of what we don't do 24 00:01:15,525 --> 00:01:18,502 and the problems we fail to acknowledge. 25 00:01:19,151 --> 00:01:20,764 There's actually little question 26 00:01:20,788 --> 00:01:25,635 about what today's water data is telling us to do as a species: 27 00:01:25,659 --> 00:01:27,443 we need to conserve more, 28 00:01:27,467 --> 00:01:29,154 and we need to pollute less. 29 00:01:30,364 --> 00:01:34,688 But today's data is not going to help us forecast the emerging risks 30 00:01:34,712 --> 00:01:36,924 facing businesses and markets. 31 00:01:36,948 --> 00:01:40,015 It's rapidly becoming useless for that. 32 00:01:40,039 --> 00:01:41,997 It used to carry more value, 33 00:01:42,021 --> 00:01:46,016 but it's never actually told us with any real accuracy 34 00:01:46,040 --> 00:01:47,582 how much water we have 35 00:01:47,606 --> 00:01:48,796 or what's in it. 36 00:01:49,899 --> 00:01:54,282 Let's consider the past decade of water usage statistics 37 00:01:54,306 --> 00:01:56,532 from each of the G20 nations. 38 00:01:56,556 --> 00:01:59,109 Now, what these numbers do not tell you 39 00:01:59,133 --> 00:02:04,197 is that none of these countries directly measures how much water they use. 40 00:02:04,221 --> 00:02:05,505 These are all estimates, 41 00:02:05,529 --> 00:02:08,152 and they're based on outdated models 42 00:02:08,176 --> 00:02:11,010 that don't consider the climate crisis, 43 00:02:11,034 --> 00:02:14,468 nor do they consider its impact on water. 44 00:02:16,037 --> 00:02:20,079 In 2015, Chennai, India's sixth-largest city, 45 00:02:20,103 --> 00:02:23,485 was hit with the worst floods it had seen in a century. 46 00:02:25,100 --> 00:02:28,362 Today, its water reservoirs are nearly dry. 47 00:02:28,862 --> 00:02:31,864 It took three years to get here, 48 00:02:31,888 --> 00:02:34,207 three years of subaverage rainfall. 49 00:02:34,231 --> 00:02:38,941 Now, that's faster than most nations tabulate their national water data, 50 00:02:38,965 --> 00:02:40,488 including the US. 51 00:02:41,200 --> 00:02:43,808 And although there were forecasts 52 00:02:43,832 --> 00:02:48,064 that predicted severe shortages of water in Chennai, 53 00:02:48,088 --> 00:02:51,596 none of them could actually help us pinpoint exactly when or where 54 00:02:51,620 --> 00:02:53,118 this was going to happen. 55 00:02:53,536 --> 00:02:56,577 This is a new type of water problem, 56 00:02:56,601 --> 00:03:01,915 because the rate at which every aspect of our water cycle changes 57 00:03:01,939 --> 00:03:03,368 is accelerating. 58 00:03:03,392 --> 00:03:06,717 As a recent UN warning this month revealed, 59 00:03:06,741 --> 00:03:12,006 we are now facing one new climate emergency every single week. 60 00:03:14,089 --> 00:03:17,320 There are greater uncertainties ahead for water quality. 61 00:03:17,344 --> 00:03:21,141 It's rare in most countries for most water bodies to be tested 62 00:03:21,165 --> 00:03:24,016 for more than a handful of contaminants in a year. 63 00:03:24,040 --> 00:03:27,201 Instead of testing, we use what's called the "dilution model" 64 00:03:27,225 --> 00:03:28,987 to manage pollution. 65 00:03:29,011 --> 00:03:32,679 Now, imagine I took an Olympic-sized swimming pool, 66 00:03:32,703 --> 00:03:36,036 I filled it with fresh water and I added one drop of mercury. 67 00:03:36,060 --> 00:03:38,882 That would dilute down to one part per billion mercury, 68 00:03:38,906 --> 00:03:41,479 which is well within what the World Health Organization 69 00:03:41,503 --> 00:03:43,037 considers safe. 70 00:03:43,061 --> 00:03:47,279 But if there was any unforeseen drop in how much water was available -- 71 00:03:47,303 --> 00:03:52,220 less groundwater, less stream flow, less water in the pool -- 72 00:03:52,244 --> 00:03:54,201 less dilution would take place, 73 00:03:54,225 --> 00:03:56,428 and things would get more toxic. 74 00:03:57,049 --> 00:04:00,414 So this is how most countries are managing pollution. 75 00:04:00,438 --> 00:04:03,757 They use this model to tell them how much pollution is safe. 76 00:04:04,146 --> 00:04:06,271 And it has clear weaknesses, 77 00:04:06,295 --> 00:04:08,937 but it worked well enough when we had abundant water 78 00:04:08,961 --> 00:04:11,318 and consistent weather patterns. 79 00:04:11,751 --> 00:04:15,787 Now that we don't, we're going to need to invest and develop 80 00:04:15,811 --> 00:04:18,137 new data-collection strategies. 81 00:04:18,161 --> 00:04:22,236 But before we do that, we have to start acting on the data we already have. 82 00:04:22,944 --> 00:04:25,066 This is a jet fuel fire. 83 00:04:25,090 --> 00:04:26,926 As many of you may be aware, 84 00:04:26,950 --> 00:04:30,283 jet fuel emissions play an enormous role in climate change. 85 00:04:30,307 --> 00:04:33,941 What you might not be aware of is that the US Department of Defense 86 00:04:33,965 --> 00:04:36,748 is the world's largest consumer of jet fuel. 87 00:04:36,772 --> 00:04:38,502 And when they consume jet fuel, 88 00:04:38,526 --> 00:04:42,552 they mandate the use of the firefighting foam pictured here, 89 00:04:42,576 --> 00:04:45,803 which contains a class of chemicals called PFAS. 90 00:04:45,827 --> 00:04:49,634 Nobody uses more of this foam than the US Department of Defense, 91 00:04:49,658 --> 00:04:54,102 and every time it's used, PFAS finds its way into our water systems. 92 00:04:54,582 --> 00:04:59,487 Globally, militaries have been using this foam since the 1970s. 93 00:04:59,511 --> 00:05:03,057 We know PFAS causes cancer, birth defects, 94 00:05:03,081 --> 00:05:05,928 and it's now so pervasive in the environment 95 00:05:05,952 --> 00:05:10,238 that we seem to find it in nearly every living thing we test, 96 00:05:10,262 --> 00:05:11,724 including us. 97 00:05:13,073 --> 00:05:17,235 But so far, the US Department of Defense has not been held accountable 98 00:05:17,259 --> 00:05:19,021 for PFAS contamination, 99 00:05:19,045 --> 00:05:20,945 nor has it been held liable. 100 00:05:20,969 --> 00:05:24,932 And although there's an effort underway to phase out these firefighting foams, 101 00:05:24,956 --> 00:05:28,469 they're not embracing safer, effective alternatives. 102 00:05:28,493 --> 00:05:31,330 They're actually using other PFAS molecules, 103 00:05:31,354 --> 00:05:36,565 which may, for all we know, carry worse health consequences. 104 00:05:37,969 --> 00:05:44,520 So today, government accountability is eroding to the point of elimination, 105 00:05:44,544 --> 00:05:49,343 and the risk of liability from water pollution is vanishing. 106 00:05:50,029 --> 00:05:54,370 What types of incentives does this create for investing in our water future? 107 00:05:55,190 --> 00:06:00,916 Over the past decade, the average early stage global investment 108 00:06:00,940 --> 00:06:03,367 in early stage water technology companies 109 00:06:03,391 --> 00:06:06,173 has totaled less than 30 million dollars every year. 110 00:06:06,919 --> 00:06:13,257 That's 0.12 percent of global venture capital for early stage companies. 111 00:06:15,035 --> 00:06:19,605 And public spending is not going up nearly fast enough. 112 00:06:19,629 --> 00:06:23,693 And a closer look at it reveals that water is not a priority. 113 00:06:24,371 --> 00:06:29,779 In 2014, the US federal government was spending 11 dollars per citizen 114 00:06:29,803 --> 00:06:31,693 on water infrastructure, 115 00:06:31,717 --> 00:06:35,871 versus 251 dollars on IT infrastructure. 116 00:06:36,478 --> 00:06:39,795 So when we don't use the data we have, 117 00:06:39,819 --> 00:06:42,458 we don't encourage investment in new technologies, 118 00:06:42,482 --> 00:06:44,642 we don't encourage more data collection 119 00:06:44,666 --> 00:06:49,677 and we certainly don't encourage investment in securing a water future. 120 00:06:50,820 --> 00:06:52,446 So are we doomed? 121 00:06:53,477 --> 00:06:55,188 Part of what I'm still learning 122 00:06:55,212 --> 00:07:00,334 is how to balance the doom and the urgency with things we can do, 123 00:07:00,358 --> 00:07:03,184 because Greta Thunberg and the Extinction Rebellion 124 00:07:03,208 --> 00:07:05,364 don't want our hope -- they want us to act. 125 00:07:05,388 --> 00:07:06,935 So what can we do? 126 00:07:07,872 --> 00:07:12,782 It's hard to imagine life without a weather service, 127 00:07:12,806 --> 00:07:15,121 but before modern weather forecasting, 128 00:07:15,145 --> 00:07:17,196 we had no commercial air travel, 129 00:07:17,220 --> 00:07:21,088 it was common for ships to be lost at sea, 130 00:07:21,112 --> 00:07:24,388 and a single storm could produce a food shortage. 131 00:07:25,460 --> 00:07:27,896 Once we had radio and telegraph networks, 132 00:07:27,920 --> 00:07:31,228 all that was necessary to solve these problems 133 00:07:31,252 --> 00:07:33,443 was tracking the movement of storms. 134 00:07:34,705 --> 00:07:39,089 And that laid the foundation for a global data collection effort, 135 00:07:39,113 --> 00:07:43,324 one that every household and every business depends upon today. 136 00:07:43,987 --> 00:07:47,724 And this was as much the result of coordinated and consistent data collection 137 00:07:47,748 --> 00:07:53,155 as it was the result of producing a culture that saw greater value 138 00:07:53,179 --> 00:07:58,026 in openly assessing and sharing everything that it could find out and discover 139 00:07:58,050 --> 00:08:00,001 about the risks we face. 140 00:08:01,108 --> 00:08:05,041 A global weather service for water would help us forecast water shortages. 141 00:08:05,770 --> 00:08:11,359 It could help us implement rationing well before reservoirs run dry. 142 00:08:11,942 --> 00:08:15,197 It could help us detect contamination before it spreads. 143 00:08:15,221 --> 00:08:17,601 It could protect our supply chains, 144 00:08:17,625 --> 00:08:19,479 secure our food supplies, 145 00:08:19,503 --> 00:08:21,149 and, perhaps most importantly, 146 00:08:21,173 --> 00:08:24,611 it would enable the precise estimation of risk 147 00:08:24,635 --> 00:08:27,376 necessary to ensure against it. 148 00:08:28,062 --> 00:08:31,259 We know we can do this because we've already done it with weather. 149 00:08:31,283 --> 00:08:33,580 But it's going to require resources. 150 00:08:34,683 --> 00:08:37,489 We need to encourage greater investment in water. 151 00:08:37,513 --> 00:08:39,625 Investors, venture capitalists: 152 00:08:39,649 --> 00:08:43,372 a portion of your funds and portfolios should be dedicated to water. 153 00:08:43,715 --> 00:08:45,259 Nothing is more valuable 154 00:08:45,283 --> 00:08:49,054 and, after all, businesses are going to need to understand water risks 155 00:08:49,078 --> 00:08:52,462 in order to remain competitive in the world we are entering. 156 00:08:53,220 --> 00:08:55,455 Aside from venture capital, 157 00:08:55,479 --> 00:08:58,758 there are also lots of promising government programs 158 00:08:58,782 --> 00:09:02,272 that encourage economic development through tax incentives. 159 00:09:02,665 --> 00:09:05,494 A new option in the US that my company is using 160 00:09:05,518 --> 00:09:07,107 is called "opportunity zones." 161 00:09:07,651 --> 00:09:11,557 They offer favorable tax treatment for investing capital gains 162 00:09:11,581 --> 00:09:14,916 in designated distressed and low-income areas. 163 00:09:14,940 --> 00:09:16,737 Now, these are areas 164 00:09:16,761 --> 00:09:19,375 that are also facing staggering water risk, 165 00:09:19,399 --> 00:09:22,952 so this creates crucial incentives to work directly with the communities 166 00:09:22,976 --> 00:09:24,756 who need help most. 167 00:09:24,780 --> 00:09:29,107 And if you're not looking to make this type of investment 168 00:09:29,131 --> 00:09:30,660 but you own land in the US, 169 00:09:30,684 --> 00:09:34,238 did you know that you can leverage your land 170 00:09:34,262 --> 00:09:37,177 to conserve water quality permanently 171 00:09:37,201 --> 00:09:39,218 with a conservation easement? 172 00:09:39,242 --> 00:09:42,851 You can assign the perpetual right to a local land trust 173 00:09:42,875 --> 00:09:44,488 to conserve your land 174 00:09:44,512 --> 00:09:46,446 and set specific water quality goals. 175 00:09:46,470 --> 00:09:48,180 And if you meet those goals, 176 00:09:48,204 --> 00:09:52,562 you can be rewarded with a substantial tax discount every year. 177 00:09:54,435 --> 00:09:58,845 How many areas could our global community protect 178 00:09:58,869 --> 00:10:01,475 through these and other programs? 179 00:10:02,435 --> 00:10:05,918 They're powerful because they offer the access to real property 180 00:10:05,942 --> 00:10:10,131 necessary to lay the foundation for a global weather service for water. 181 00:10:11,020 --> 00:10:16,755 But this can only work if we use these programs as they are intended 182 00:10:16,779 --> 00:10:20,066 and not as mere vehicles for tax evasion. 183 00:10:21,072 --> 00:10:23,333 When the conservation easement was established, 184 00:10:23,357 --> 00:10:26,615 nobody could anticipate how ingrained in environmental movements 185 00:10:26,639 --> 00:10:28,917 corporate polluters would become. 186 00:10:28,941 --> 00:10:33,652 And we've become accustomed to companies talking about the climate crisis 187 00:10:33,676 --> 00:10:36,048 while doing nothing about it. 188 00:10:37,738 --> 00:10:42,379 This has undermined the legacy and the impact of these programs, 189 00:10:42,403 --> 00:10:45,085 but it also makes them ripe for reclamation. 190 00:10:45,109 --> 00:10:48,207 Why not use conservation easements as they were intended, 191 00:10:48,231 --> 00:10:52,581 to set and reach ambitious conservation goals? 192 00:10:52,605 --> 00:10:56,908 Why not create opportunities in opportunity zones? 193 00:10:57,456 --> 00:11:01,826 Because fundamentally, water security requires accountability. 194 00:11:02,444 --> 00:11:08,162 Accountability is not corporate polluters sponsoring environmental groups 195 00:11:08,186 --> 00:11:09,995 and museums. 196 00:11:10,019 --> 00:11:12,059 Those are conflicts of interest. 197 00:11:12,083 --> 00:11:17,204 (Applause) 198 00:11:18,126 --> 00:11:20,205 Accountability is: 199 00:11:21,143 --> 00:11:25,403 making the risk of liability too expensive 200 00:11:25,427 --> 00:11:28,405 to continue polluting and wasting our water. 201 00:11:28,429 --> 00:11:32,209 We can't keep settling for words. It's time to act. 202 00:11:32,233 --> 00:11:35,701 And where better to start than with our biggest polluters, 203 00:11:35,725 --> 00:11:40,804 particularly the US Department of Defense, which is taxpayer-funded. 204 00:11:40,828 --> 00:11:44,501 Who and what are we protecting when US soldiers, their families 205 00:11:44,525 --> 00:11:48,012 and the people who live near US military bases abroad 206 00:11:48,036 --> 00:11:50,308 are all drinking toxic water? 207 00:11:50,876 --> 00:11:55,323 Global security can no longer remain at odds with protecting our planet 208 00:11:55,347 --> 00:11:56,787 or our collective health. 209 00:11:56,811 --> 00:11:58,958 Our survival depends on it. 210 00:11:59,404 --> 00:12:00,554 Similarly, 211 00:12:01,178 --> 00:12:05,054 agriculture in most countries depends on taxpayer-funded subsidies 212 00:12:05,078 --> 00:12:08,945 that are paid to farmers to secure and stabilize food supplies. 213 00:12:10,039 --> 00:12:14,417 These incentives are a crucial leverage point for us, 214 00:12:14,441 --> 00:12:18,971 because agriculture is responsible for consuming 70 percent 215 00:12:18,995 --> 00:12:21,353 of all the water we use every year. 216 00:12:22,061 --> 00:12:24,713 Fertilizer and pesticide runoff 217 00:12:24,737 --> 00:12:27,436 are the two biggest sources of water pollution. 218 00:12:27,460 --> 00:12:31,225 Let's restructure these subsidies to demand better water efficiency 219 00:12:31,249 --> 00:12:32,971 and less pollution. 220 00:12:32,995 --> 00:12:38,105 (Applause) 221 00:12:38,740 --> 00:12:40,199 Finally: 222 00:12:40,223 --> 00:12:41,695 we can't expect progress 223 00:12:41,719 --> 00:12:44,597 if we're unwilling to confront the conflicts of interest 224 00:12:44,621 --> 00:12:46,478 that suppress science, 225 00:12:46,502 --> 00:12:48,450 that undermine innovation 226 00:12:48,474 --> 00:12:50,932 and that discourage transparency. 227 00:12:50,956 --> 00:12:52,756 It is in the public interest 228 00:12:52,780 --> 00:12:56,728 to measure and to share everything we can learn and discover 229 00:12:56,752 --> 00:12:59,341 about the risks we face in water. 230 00:12:59,881 --> 00:13:03,451 Reality does not exist until it's measured. 231 00:13:03,475 --> 00:13:07,274 It doesn't just take technology to measure it. 232 00:13:07,298 --> 00:13:09,177 It takes our collective will. 233 00:13:09,201 --> 00:13:10,535 Thank you. 234 00:13:10,559 --> 00:13:15,603 (Applause)