0:00:00.857,0:00:04.324 Let's say that you wanted[br]to conduct an experiment. 0:00:05.000,0:00:06.151 In this experiment, 0:00:06.175,0:00:09.571 you randomly assign people[br]to live in blasting zones 0:00:10.133,0:00:15.276 or in control locations without explosives[br]going off over their heads. 0:00:16.300,0:00:18.072 They live in the community for years, 0:00:18.096,0:00:20.026 just downwind and downstream 0:00:20.050,0:00:23.521 from sites where tons of explosives[br]are used almost daily. 0:00:24.093,0:00:26.728 And millions of gallons[br]of water contaminated. 0:00:27.323,0:00:30.823 With random assignment,[br]you could carefully study 0:00:30.847,0:00:34.890 the long-term health effects[br]of living in these blasting communities 0:00:34.914,0:00:38.300 without a bunch of annoying[br]confounders and covariates. 0:00:39.061,0:00:41.323 Random assignment does wonders. 0:00:42.782,0:00:46.561 That would be a rigorous,[br]powerful scientific inquiry 0:00:46.585,0:00:49.354 into the effects of these[br]environmental exposures. 0:00:49.838,0:00:52.456 Of course, such a study[br]could never be done. 0:00:52.895,0:00:55.537 Most scientists wouldn't have[br]the stomach for it. 0:00:55.942,0:00:58.483 The institutional review board[br]would never approve it; 0:00:58.507,0:01:00.581 it would never pass human subjects review, 0:01:00.605,0:01:03.205 because it would be unethical, immoral. 0:01:04.257,0:01:07.102 And yet in effect,[br]it is happening right now. 0:01:08.503,0:01:10.776 In my mind, it's prompted some questions. 0:01:10.800,0:01:12.298 What is the ethical obligation 0:01:12.322,0:01:15.522 of the scientists who believes[br]populations are in danger? 0:01:16.592,0:01:20.552 How much evidence is enough[br]to be confident of our conclusions? 0:01:21.179,0:01:26.083 Where is the line between[br]scientific certainty and the need to act? 0:01:27.131,0:01:29.566 The unplanned experiment[br]that is happening right now 0:01:29.590,0:01:31.585 is called mountaintop removal. 0:01:31.609,0:01:33.823 The abbreviation for it is MTR. 0:01:34.371,0:01:36.236 It is a form of surface coal mining 0:01:36.260,0:01:39.271 that takes place in Appalachia,[br]here in the United States. 0:01:40.276,0:01:45.323 MTR occurs in four states: Virginia,[br]West Virginia, Kentucky and Tennessee. 0:01:46.208,0:01:50.358 Over 1.2 million acres[br]have been mined in this way. 0:01:50.382,0:01:52.977 This is an area about the size of Delaware 0:01:53.001,0:01:55.300 but it is spread over a footprint 0:01:55.324,0:01:58.203 as large as Vermont[br]and New Hampshire combined. 0:01:59.465,0:02:03.590 The process involves clear-cutting[br]ancient Appalachian forest, 0:02:03.614,0:02:06.285 home to some of the richest[br]biodiversity on the planet. 0:02:07.037,0:02:10.615 The trees are typically burned[br]or dumped into adjacent valleys. 0:02:11.450,0:02:14.530 Then, to reach the buried coal seams, 0:02:14.554,0:02:20.309 explosives are used to remove[br]up to 800 feet of mountain elevation. 0:02:21.458,0:02:23.895 Over 1500 tons of explosives 0:02:23.919,0:02:26.656 are used for coal mining[br]in West Virginia alone. 0:02:27.339,0:02:29.037 Every day. 0:02:30.123,0:02:32.607 Rock and soil debris[br]is dumped over the valley sides, 0:02:32.631,0:02:35.315 where it permanently buries[br]headwater streams. 0:02:35.339,0:02:39.978 So far, over 500 mountains[br]have been destroyed. 0:02:41.091,0:02:44.646 About 2,000 miles of streams[br]have been permanently buried. 0:02:44.670,0:02:48.376 Water emerging from the base[br]of the valley fills is highly contaminated 0:02:48.400,0:02:50.867 and remains contaminated for decades. 0:02:51.489,0:02:53.498 The coal then has to be[br]chemically treated, 0:02:53.522,0:02:57.527 crushed and washed before it can be[br]transported to power plants and burned. 0:02:58.276,0:03:00.409 This cleaning takes place on-site. 0:03:00.807,0:03:03.895 The process produces more air pollution 0:03:03.919,0:03:07.617 and contaminates billions[br]of gallons of water with metals, 0:03:07.641,0:03:11.224 sulfates, cleaning chemicals[br]and other impurities. 0:03:12.219,0:03:17.664 All of this to produce three percent[br]of US electricity demand -- 0:03:17.688,0:03:21.140 only three percent[br]of US electricity demand. 0:03:22.544,0:03:26.075 As you can appreciate, this prompts[br]all sorts of other questions. 0:03:26.099,0:03:28.885 What are the health impacts[br]of mountaintop-removal mining? 0:03:28.909,0:03:33.929 There are over a million people[br]who live in counties where MTR takes place 0:03:33.953,0:03:37.405 and millions more downstream and downwind. 0:03:38.223,0:03:40.778 What has been the response[br]of industry and government 0:03:40.802,0:03:43.275 when these issues are documented? 0:03:43.299,0:03:46.847 And again, what is the ethical[br]obligation of science 0:03:46.871,0:03:49.275 when faced with this disturbing situation? 0:03:50.760,0:03:53.537 I began to research this issue in 2006. 0:03:53.966,0:03:56.474 I had just taken a job[br]at West Virginia University. 0:03:56.498,0:03:59.911 Before then, I hadn't done[br]any research related to coal. 0:04:00.812,0:04:02.923 But I started to hear stories 0:04:02.947,0:04:05.828 from people who lived[br]in these mining communities. 0:04:05.852,0:04:09.149 They said that the water[br]they drank was not clean, 0:04:09.173,0:04:11.529 that the air they breathed was polluted. 0:04:12.244,0:04:14.299 They would tell me[br]about their own illnesses 0:04:14.323,0:04:16.298 or illnesses in their family. 0:04:16.322,0:04:20.070 They were worried about how common[br]cancer was in their neighborhoods. 0:04:20.394,0:04:22.649 I met with many people[br]in southern West Virginia 0:04:22.673,0:04:24.006 and eastern Kentucky 0:04:24.030,0:04:26.701 to listen to those stories[br]and hear their concerns. 0:04:26.725,0:04:28.923 I searched the scientific literature 0:04:28.947,0:04:31.859 and was surprised to learn[br]that nothing had been published 0:04:31.883,0:04:35.696 on the public health effects[br]of coal mining in the United States. 0:04:35.720,0:04:36.879 Let me say that again -- 0:04:36.903,0:04:39.569 nothing had been published[br]on the public health effects 0:04:39.593,0:04:41.260 of coal mining in the US. 0:04:42.038,0:04:45.268 So I thought, "I can make[br]a new contribution, 0:04:45.292,0:04:46.758 no matter what I find. 0:04:47.617,0:04:51.196 To either confirm these concerns[br]or to alleviate them. 0:04:51.523,0:04:54.456 I had no personal[br]or organizational agenda. 0:04:55.515,0:04:58.062 Many of my colleague[br]initially were skeptical 0:04:58.086,0:05:01.220 that there would be any link[br]between public health and mining. 0:05:01.244,0:05:05.466 They predicted that the health problems[br]could be explained by poverty 0:05:05.490,0:05:08.410 or by lifestyle issues,[br]like smoking and obesity. 0:05:09.196,0:05:12.283 When I started, I thought[br]maybe they would be right. 0:05:13.204,0:05:15.773 We started by analyzing existing databases 0:05:15.797,0:05:19.490 that allowed us to link[br]population health to mining activity 0:05:19.514,0:05:25.062 and to control statistically for age, sex,[br]race, smoking, obesity, poverty, 0:05:25.086,0:05:28.565 education, health insurance[br]and others we could measure. 0:05:29.847,0:05:33.260 We found evidence that confirmed[br]the concerns of the residents 0:05:33.284,0:05:35.450 and we started to publish our findings. 0:05:36.514,0:05:38.014 As a very brief summary, 0:05:38.038,0:05:41.927 we found that people who live[br]where mountaintop removal takes place 0:05:41.951,0:05:46.086 have significantly higher levels[br]of cardiovascular disease, 0:05:46.110,0:05:49.575 kidney disease and chronic[br]lung disease like COPD. 0:05:50.482,0:05:53.260 Death rates from cancer[br]are significantly elevated, 0:05:53.284,0:05:55.084 especially for lung cancer. 0:05:55.680,0:05:58.244 We've seen evidence[br]for higher rates of birth defects 0:05:58.268,0:06:00.458 and for babies born at low birth weight. 0:06:01.172,0:06:05.664 The difference in total mortality[br]equates to about 1200 excess deaths 0:06:05.688,0:06:09.910 every year in MTR areas,[br]controlling for other risks. 0:06:09.934,0:06:12.817 Twelve hundred excess deaths every year. 0:06:13.855,0:06:15.395 Not only are death rates higher, 0:06:15.419,0:06:17.664 but they increase[br]as the levels of mining go up 0:06:17.688,0:06:19.422 in a dose-response manner. 0:06:19.863,0:06:23.458 Next, we started to conduct[br]community door-to-door health surveys. 0:06:23.482,0:06:27.024 We surveyed people[br]living within a few miles of MTR 0:06:27.048,0:06:29.410 versus similar rural[br]communities without mining. 0:06:30.188,0:06:34.173 Survey results show higher levels[br]of personal and family illness, 0:06:34.197,0:06:36.418 self-reported health status is poorer 0:06:36.442,0:06:39.956 and illness symptoms across[br]a broad spectrum are more common. 0:06:40.879,0:06:43.402 These studies are only associational. 0:06:44.268,0:06:47.577 We all know that correlation[br]does not prove causation. 0:06:48.315,0:06:49.951 These studies did not include data 0:06:49.975,0:06:52.855 on the actual environmental conditions[br]in mining communities. 0:06:52.879,0:06:56.500 So we started to collect[br]and report on that. 0:06:57.609,0:07:00.379 We found that violations[br]of public drinking-water standards 0:07:00.403,0:07:04.745 are seven times more common[br]in MTR areas versus non-mining areas. 0:07:05.266,0:07:07.156 We collected air samples 0:07:07.180,0:07:10.386 and found that particulate matter[br]is elevated in mining communities, 0:07:10.410,0:07:12.278 especially in the ultra-fine range. 0:07:12.629,0:07:16.660 The dust in mining communities[br]contains a complex mixture, 0:07:16.684,0:07:20.795 but includes high levels of silica,[br]a known lung carcinogen, 0:07:20.819,0:07:23.688 and potentially harmful organic compounds. 0:07:23.712,0:07:26.260 We used the dust in laboratory experiments 0:07:26.284,0:07:29.958 and found that it induced[br]cardiovascular dysfunction in rats. 0:07:30.482,0:07:32.339 The dust also promoted the development 0:07:32.363,0:07:35.875 of lung cancer in human[br]in vitro lung cells. 0:07:37.141,0:07:40.040 This is just a quick summary[br]of some of our studies. 0:07:41.194,0:07:44.727 The coal industry does not like[br]what we have to say. 0:07:46.242,0:07:48.805 Neither does the government[br]in coal country. 0:07:49.203,0:07:52.228 Just like the tobacco industry[br]paid for research 0:07:52.252,0:07:54.410 to defend the safety of smoking, 0:07:54.434,0:07:56.545 so the coal industry[br]has tried to do the same 0:07:56.569,0:08:00.282 by paying people to write papers[br]claiming that MTR is safe. 0:08:00.913,0:08:04.992 Lawyers have sent me harassing demands[br]under the Freedom of Information Act, 0:08:05.016,0:08:07.149 eventually denied by the courts. 0:08:07.754,0:08:11.125 I'd been attacked at public testimony[br]at a Congressional hearing 0:08:11.149,0:08:14.122 by a congressman[br]with ties to the energy industry. 0:08:14.863,0:08:19.432 One governor has publicly declared[br]that he refuses to read the research. 0:08:20.238,0:08:23.976 And after a meeting[br]with a member of Congress, 0:08:24.000,0:08:26.233 in which I specifically[br]shared my research, 0:08:26.257,0:08:29.746 I later heard that representative say[br]they knew nothing about it. 0:08:30.855,0:08:33.395 I worked with scientists[br]at the US Geological Survey 0:08:33.419,0:08:36.260 on environmental sampling[br]for more than two years. 0:08:36.284,0:08:38.966 And just as they were starting[br]to publish their findings, 0:08:38.990,0:08:41.244 they were suddenly instructed[br]by their superiors 0:08:41.268,0:08:43.201 to stop work on this project. 0:08:43.751,0:08:47.840 In August of this year,[br]the National Academy of Sciences 0:08:47.864,0:08:50.236 was suddenly instructed[br]by the federal government 0:08:50.260,0:08:52.522 to stop their independent review 0:08:52.546,0:08:55.274 of the public health consequences[br]of surface mining. 0:08:56.037,0:08:58.907 These actions are politically[br]motivated, in my view. 0:09:00.323,0:09:03.457 But there is opposition[br]from researchers, too. 0:09:04.236,0:09:07.204 At conferences or meetings,[br]they express skepticism. 0:09:07.695,0:09:11.499 OK, we are all taught,[br]as scientists, to be skeptical. 0:09:12.141,0:09:15.355 They ask, "What about[br]this possible explanation?" 0:09:15.379,0:09:18.402 "Have you considered[br]that alternative interpretation?" 0:09:18.712,0:09:22.196 They wonder, "There must be[br]some confounder that we missed. 0:09:22.220,0:09:25.389 Some other variable[br]we haven't accounted for." 0:09:25.863,0:09:28.403 "An in vitro study, what does that prove?" 0:09:28.427,0:09:33.173 "A rat study -- how do we know the same[br]effects would be found in people?" 0:09:34.433,0:09:35.583 Maybe so. 0:09:36.107,0:09:39.019 Technically, you have to acknowledge[br]that they could be right, 0:09:39.043,0:09:42.917 but you know, maybe these health problems 0:09:42.941,0:09:45.664 are not the result[br]of some unmeasured confound. 0:09:46.545,0:09:49.291 Maybe they result[br]from blowing up mountains 0:09:49.315,0:09:51.029 over people's heads. 0:09:51.053,0:09:53.397 (Laughter) 0:09:53.421,0:10:00.167 (Applause) 0:10:00.191,0:10:03.577 There can always be doubt,[br]if doubt is what you seek. 0:10:03.601,0:10:06.220 Because we can never do that[br]defining experiment. 0:10:06.244,0:10:09.691 Any next study[br]must always be associational. 0:10:10.720,0:10:13.506 So perhaps you can understand[br]why I've started to wonder, 0:10:13.530,0:10:15.895 how much evidence is enough? 0:10:15.919,0:10:19.319 I've published over 30 papers[br]on this topic so far. 0:10:19.760,0:10:23.061 Along with my coauthors, other researchers[br]have added to the evidence, 0:10:23.085,0:10:25.347 yet government doesn't want to listen 0:10:25.371,0:10:28.283 and the industry says[br]it's only correlational. 0:10:28.307,0:10:30.973 They say Appalachians[br]have lifestyle issues. 0:10:30.997,0:10:32.772 As though it had never occurred to us 0:10:32.796,0:10:35.474 to control for smoking or obesity[br]or poverty or education 0:10:35.498,0:10:36.831 or health insurance. 0:10:37.442,0:10:39.609 We controlled for all of those and more. 0:10:40.903,0:10:44.402 There comes a point[br]where we don't need more research. 0:10:44.784,0:10:48.244 Where we can't ask people[br]to be unwilling research subjects 0:10:48.268,0:10:50.996 so we can do the next study. 0:10:52.817,0:10:55.198 As scientists, we follow[br]the data wherever it goes, 0:10:55.222,0:10:57.246 but sometimes data can only take us so far 0:10:57.270,0:11:00.260 and we have to decide,[br]as thinking, feeling human beings, 0:11:00.284,0:11:03.017 what it means and when it is time to act. 0:11:03.775,0:11:06.927 I think that is true, not only for MTR[br]but for other situations 0:11:06.951,0:11:11.243 where evidence is strong[br]and concerning but imperfect. 0:11:11.934,0:11:15.983 And when failing to act if you're wrong[br]means people's lives. 0:11:17.721,0:11:20.508 It may seem strange[br]that there is any controversy 0:11:20.532,0:11:23.620 over the health effects[br]of mountaintop-removal mining. 0:11:24.332,0:11:26.174 But somehow, this subject has wound up 0:11:26.198,0:11:28.536 in a scientific[br]and political twilight zone 0:11:28.560,0:11:30.681 alongside the debate over climate change 0:11:30.705,0:11:32.120 or the argument years ago 0:11:32.144,0:11:34.739 about whether or not[br]smoking caused cancer. 0:11:35.865,0:11:39.468 In this twilight zone, much of the data[br]seems to point to one conclusion. 0:11:39.492,0:11:42.778 But the economics or the politics[br]or the prevailing public view 0:11:42.802,0:11:45.068 insist on the opposite conclusion. 0:11:46.180,0:11:49.101 When you're a scientist[br]and you think you have a valid insight 0:11:49.125,0:11:51.426 where the health[br]of entire population is at stake 0:11:51.450,0:11:53.823 but you find yourself trapped 0:11:53.847,0:11:57.355 in this twilight zone[br]of denial and disbelief, 0:11:57.379,0:12:00.179 what is your moral and ethical obligation? 0:12:01.625,0:12:05.609 Obviously, scientists are responsible[br]for telling the truth as they see it, 0:12:05.633,0:12:06.942 based on evidence. 0:12:07.331,0:12:10.408 Simply stated, we have an obligation[br]to stand up for the data. 0:12:11.625,0:12:14.693 It can be extremely frustrating[br]to wait around for public opinion 0:12:14.717,0:12:17.950 or political consensus to catch up[br]to the scientific understanding. 0:12:17.974,0:12:22.140 But the more controversial the subject[br]and the more frustrating the debate, 0:12:22.164,0:12:26.029 the more critical it is for scientists[br]to preserve our objectivity 0:12:26.053,0:12:28.253 and our reputation for integrity. 0:12:28.823,0:12:31.363 Because integrity is the coin of the realm 0:12:31.387,0:12:33.879 in scientific and public policy debate. 0:12:33.903,0:12:35.118 In the long run, 0:12:35.142,0:12:38.871 our reputation for integrity[br]is the most powerful tool that we have, 0:12:38.895,0:12:41.838 even more powerful than the data itself. 0:12:42.535,0:12:45.346 Without an acknowledged integrity[br]on the part of scientists, 0:12:45.370,0:12:47.488 no amount of data[br]will ever convince people 0:12:47.512,0:12:50.112 to believe painful or difficult truths. 0:12:50.958,0:12:56.085 But when we cultivate and guard[br]our reputation for integrity, 0:12:56.109,0:12:59.260 when we patiently stand up for the data[br]and keep doing the studies 0:12:59.284,0:13:02.006 and keep calmly bringing[br]the results to the public, 0:13:02.030,0:13:04.474 that's when we have our greatest impact. 0:13:05.585,0:13:11.781 Eventually, scientific truth[br]does and will win out. 0:13:13.141,0:13:15.941 How many lives will be lost while we wait? 0:13:16.433,0:13:17.583 Too many already. 0:13:18.218,0:13:20.090 But prevail we will. 0:13:21.004,0:13:22.185 Thank you. 0:13:22.209,0:13:29.094 (Applause)