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These are the user uploaded subtitles that are being translated: 1 00:00:02,000 --> 00:00:07,000 Downloaded from YTS.MX 2 00:00:08,000 --> 00:00:13,000 Official YIFY movies site: YTS.MX 3 00:00:17,440 --> 00:00:19,640 It all felt deeply unethical. 4 00:00:21,120 --> 00:00:24,440 I went in with pure intentions to make a difference. 5 00:00:25,400 --> 00:00:27,840 It really was every day that I'd cry, 6 00:00:28,200 --> 00:00:31,680 and then I was just suddenly like, I can't do another day of this. 7 00:00:33,280 --> 00:00:36,480 I just want to share my story, and I want people to know 8 00:00:36,880 --> 00:00:38,880 what I've learned about disease. 9 00:00:43,640 --> 00:00:48,080 We have seen multiple episodes over the past several years 10 00:00:48,160 --> 00:00:52,720 where viruses have emerged that have caused cause for concern. 11 00:00:53,120 --> 00:00:56,640 And thankfully to date, time and time again, 12 00:00:57,680 --> 00:00:59,720 measures taken by governments, 13 00:00:59,800 --> 00:01:01,920 measures that have been taken by the WHO, 14 00:01:01,960 --> 00:01:04,400 have managed to combat those outbreaks. 15 00:01:05,640 --> 00:01:07,640 I think the whole of the medical community 16 00:01:08,080 --> 00:01:11,240 is mindful and slightly fearful that eventually 17 00:01:11,360 --> 00:01:15,040 there might come a time where such a virus can't be contained. 18 00:01:16,880 --> 00:01:21,360 There are two sets of laws that we have that control human behavior. 19 00:01:22,200 --> 00:01:24,080 One is the laws that we make. 20 00:01:24,960 --> 00:01:27,000 And in those laws they say sometimes, 21 00:01:27,080 --> 00:01:29,640 "It's okay to do this. It's okay to do that." 22 00:01:32,880 --> 00:01:35,480 Well, it may be OK, and it may be lawful, 23 00:01:35,840 --> 00:01:38,400 but nature has its own set of laws. 24 00:01:39,120 --> 00:01:42,080 And when you or we as people violate those laws, 25 00:01:42,280 --> 00:01:45,800 then nature responds with a consequence all of its own. 26 00:01:47,040 --> 00:01:50,400 And it can be a consequence that we as humans can't tolerate. 27 00:01:52,640 --> 00:01:57,600 We're creating these scenarios in which viruses can mutate in that way. 28 00:01:58,400 --> 00:02:01,760 It really feels like there's so many alarms going off 29 00:02:02,200 --> 00:02:04,440 and it just isn't being spelled out. 30 00:02:15,640 --> 00:02:16,720 I'm Alice Brough, 31 00:02:16,800 --> 00:02:19,720 and I used to be a livestock vet, 32 00:02:19,800 --> 00:02:23,160 so I worked for about four years in the British pig industry, 33 00:02:23,240 --> 00:02:24,960 and I left that about a year ago. 34 00:02:27,200 --> 00:02:29,120 As soon as I understood there was a job 35 00:02:29,200 --> 00:02:32,640 that was involving helping animals, that was the career for me, 36 00:02:32,720 --> 00:02:35,720 and I didn't ever consider anything else. 37 00:02:35,800 --> 00:02:38,920 It was like as soon as I could speak, I wanted to be a vet. 38 00:02:40,880 --> 00:02:42,280 As soon as I turned 15, 39 00:02:42,360 --> 00:02:45,120 I started working on farms every holiday 40 00:02:45,200 --> 00:02:47,280 and the veterinary degree's five years long, 41 00:02:47,360 --> 00:02:51,240 so it's a considerable amount of time put towards it really. 42 00:02:53,160 --> 00:02:54,480 So the year before I left, 43 00:02:54,560 --> 00:02:57,800 I was actually a finalist for Young Pig Vet of the Year. 44 00:02:57,880 --> 00:02:59,960 I really put everything into it, 45 00:03:00,000 --> 00:03:04,760 I tried incredibly hard to achieve what really was my aim, 46 00:03:04,800 --> 00:03:06,240 improving animals' lives. 47 00:03:06,320 --> 00:03:07,640 And I, yeah... 48 00:03:08,480 --> 00:03:11,280 It was a tough job, and I put everything into it. 49 00:03:11,720 --> 00:03:15,360 So why have you since left that job? 50 00:03:17,840 --> 00:03:19,120 That's a tough question. 51 00:03:20,200 --> 00:03:24,560 I think the more I went on, the more I struggled 52 00:03:24,640 --> 00:03:27,280 with a sort of concern that I was facilitating something 53 00:03:27,400 --> 00:03:29,360 which would be potentially very dangerous 54 00:03:29,520 --> 00:03:31,400 to human health further down the line. 55 00:03:32,400 --> 00:03:34,720 I felt I've had to step back from that role 56 00:03:34,800 --> 00:03:38,800 to feel like I'm not contributing to some of the biggest threats 57 00:03:38,920 --> 00:03:42,880 to humanity in the form of pandemics and antimicrobial resistance. 58 00:03:45,600 --> 00:03:48,800 There are many different diseases 59 00:03:48,880 --> 00:03:52,720 that have led to pandemics over the history of time. 60 00:03:53,120 --> 00:03:56,160 And there is typically some sort of link 61 00:03:56,240 --> 00:03:58,760 between human health and animal health 62 00:03:58,840 --> 00:04:01,360 within those types of pandemics. 63 00:04:01,480 --> 00:04:04,800 About half of infectious diseases people can get 64 00:04:04,960 --> 00:04:07,920 can be spread from an animal or be zoonotic. 65 00:04:08,160 --> 00:04:10,920 And for emerging infectious diseases particularly, 66 00:04:11,000 --> 00:04:14,240 scientists estimate that three out of every four 67 00:04:14,600 --> 00:04:17,800 emerging infectious diseases come from an animal source. 68 00:04:19,080 --> 00:04:23,360 Well, the truth is, when you look at the origins specifically of COVID-19, 69 00:04:23,440 --> 00:04:27,320 we think it's come from some of these wet markets in China. 70 00:04:28,320 --> 00:04:30,760 And for many of us in the West, we look and say, 71 00:04:30,840 --> 00:04:32,800 "OK, perhaps they should close down." 72 00:04:32,880 --> 00:04:34,760 And to a certain extent that is true. 73 00:04:35,360 --> 00:04:37,440 But we should also look in our own backyard 74 00:04:37,920 --> 00:04:41,360 and just look at how we are treating animals here. 75 00:04:41,520 --> 00:04:43,120 It's not just over there. 76 00:04:43,680 --> 00:04:48,320 If we are cooping up our livestock in unsanitary conditions, 77 00:04:48,400 --> 00:04:50,440 giving them antibiotics all the time, 78 00:04:50,640 --> 00:04:52,800 we really don't have much of a case 79 00:04:52,880 --> 00:04:54,840 to point the finger at anybody else. 80 00:04:57,400 --> 00:04:59,720 The more I looked, and research I looked at, 81 00:04:59,800 --> 00:05:03,360 it was like going down the rabbit hole in a sense. 82 00:05:03,720 --> 00:05:06,240 Animal agriculture is a big business. 83 00:05:06,320 --> 00:05:09,120 It is causing all sorts of major issues, 84 00:05:09,560 --> 00:05:11,600 but nobody's joining the dots. 85 00:05:14,680 --> 00:05:16,720 I worked in the Office of Counterterrorism 86 00:05:16,840 --> 00:05:19,200 and Emerging Threats of the FDA. 87 00:05:19,920 --> 00:05:23,800 And in that office we were preparing for things like pandemics, 88 00:05:23,880 --> 00:05:25,880 like COVID-19 that we're facing now. 89 00:05:26,160 --> 00:05:28,160 I worked with the CDC, 90 00:05:28,240 --> 00:05:29,960 I worked with the NIH, 91 00:05:30,040 --> 00:05:33,280 I worked with the military, I worked with Homeland Security. 92 00:05:33,440 --> 00:05:35,320 Throughout that entire time, 93 00:05:35,400 --> 00:05:40,640 not once did we ever talk about how these emerging diseases 94 00:05:40,720 --> 00:05:42,240 come about in the first place. 95 00:05:42,960 --> 00:05:44,440 This is the time. 96 00:05:44,760 --> 00:05:46,320 If there is any time, 97 00:05:46,400 --> 00:05:50,560 this is the time to really look into how these infections come about. 98 00:05:51,560 --> 00:05:54,040 So you think about it, we're 8 billion humans 99 00:05:54,120 --> 00:05:55,560 on this planet right now. 100 00:05:55,640 --> 00:05:57,280 But for every human, 101 00:05:57,360 --> 00:06:01,640 there are about 10 land animals raised and killed for food. 102 00:06:02,280 --> 00:06:04,480 So we think there are too many humans? 103 00:06:04,600 --> 00:06:06,280 Think about how many animals. 104 00:06:06,360 --> 00:06:09,320 So we're talking about 80 billion land animals 105 00:06:09,840 --> 00:06:12,000 being raised and killed for food at one time. 106 00:06:14,120 --> 00:06:16,640 You know, with coronavirus, we are being told 107 00:06:16,720 --> 00:06:19,680 to socially distance, and rightfully so. 108 00:06:20,360 --> 00:06:23,560 But we're doing the opposite with these animals in these farms. 109 00:06:23,720 --> 00:06:26,920 We're crowding them into as tight of a space as we can, 110 00:06:27,080 --> 00:06:31,000 and that goes against everything that we know about how to contain 111 00:06:31,160 --> 00:06:34,080 and prevent the emergence of infectious diseases. 112 00:06:35,400 --> 00:06:37,160 Their immune systems are decreased 113 00:06:37,240 --> 00:06:41,200 because of the stress that they face, and then they are so densely packed. 114 00:06:41,560 --> 00:06:44,960 So it's so easy for one animal to catch an infection 115 00:06:45,440 --> 00:06:47,400 and then pass it on to another animal. 116 00:06:47,640 --> 00:06:50,320 And then the virus can spread like wildfire. 117 00:06:50,720 --> 00:06:54,280 So far they've been able to verify the deadly strain of flu virus 118 00:06:54,440 --> 00:06:56,840 is passed on from chickens to people. 119 00:06:57,280 --> 00:07:01,720 In 1997 with the emergence of H5N1, 120 00:07:02,120 --> 00:07:05,600 it was a highly pathogenic influenza virus 121 00:07:05,680 --> 00:07:08,440 that emerged from chicken farms in China. 122 00:07:08,960 --> 00:07:12,680 Now that virus had a lethality rate of about 60%. 123 00:07:13,000 --> 00:07:14,760 Think about it, a virus that killed 124 00:07:14,880 --> 00:07:16,480 60 out of 100 people 125 00:07:16,880 --> 00:07:18,320 who contracted the virus. 126 00:07:18,520 --> 00:07:21,200 You can imagine how deadly that virus is. 127 00:07:21,360 --> 00:07:23,800 I mean, that is a scary, scary virus. 128 00:07:24,320 --> 00:07:27,120 H5N1 came out from animal agriculture. 129 00:07:27,280 --> 00:07:30,000 And it is still out there and it is still circulating 130 00:07:30,160 --> 00:07:31,720 and it is still mutating. 131 00:07:32,560 --> 00:07:34,760 We are not done with H5N1. 132 00:07:35,040 --> 00:07:36,400 It's a ticking time bomb, 133 00:07:36,560 --> 00:07:38,440 what's happening in these factory farms 134 00:07:38,520 --> 00:07:41,040 and the influenza strains that are coming out. 135 00:07:42,320 --> 00:07:45,600 It's no coincidence that when we think of past pandemics, 136 00:07:45,680 --> 00:07:47,880 we think of swine flu and avian flu. 137 00:07:48,280 --> 00:07:50,680 And pigs and chickens 138 00:07:50,840 --> 00:07:54,640 are the most intensively farmed animals on the planet. 139 00:07:54,960 --> 00:07:58,480 Intensive farming acts as a crucible 140 00:07:58,560 --> 00:08:01,520 for the development of pathogenic organisms. 141 00:08:02,040 --> 00:08:05,280 It's our insatiable need for cheap food 142 00:08:05,440 --> 00:08:07,240 and for animal protein. 143 00:08:07,400 --> 00:08:09,160 If we didn't have those, 144 00:08:09,240 --> 00:08:12,960 we wouldn't have a lot of the drivers for zoonotic emergence. 145 00:08:16,720 --> 00:08:20,840 So I've been driving everyday farm to farm 146 00:08:20,920 --> 00:08:24,280 and seeing generally similar sorts of problems across the board, 147 00:08:24,800 --> 00:08:27,560 whether that be disease or welfare issues. 148 00:08:29,280 --> 00:08:33,080 And these conditions are not exceptional, not one-offs. 149 00:08:33,400 --> 00:08:36,400 This is how our meat, dairy and eggs are produced every day. 150 00:08:38,320 --> 00:08:41,400 We do a lot of unnatural things to animals. 151 00:08:43,440 --> 00:08:47,160 You know, we routinely mutilate young animals. 152 00:08:47,240 --> 00:08:51,720 We cuts off teeth, tails, testicles and beaks, horns, 153 00:08:51,840 --> 00:08:54,120 creating a direct route for bacteria. 154 00:08:54,240 --> 00:08:57,080 And it's also greatly stressful and painful obviously. 155 00:08:58,160 --> 00:08:59,280 We know dairy calves 156 00:08:59,360 --> 00:09:01,760 are removed from their mothers straightaway. 157 00:09:01,920 --> 00:09:03,720 Chicks don't get maternal time, 158 00:09:03,800 --> 00:09:06,720 and piglets are weaned about three to four weeks old. 159 00:09:06,840 --> 00:09:09,120 When you move them into an environment 160 00:09:09,200 --> 00:09:11,160 that's frightening, away from their mum, 161 00:09:11,360 --> 00:09:13,560 and on a completely different feed, 162 00:09:13,720 --> 00:09:17,440 it's very common to see things like post-weaning salmonella 163 00:09:17,520 --> 00:09:20,320 or E. coli diarrhea or meningitis. 164 00:09:21,440 --> 00:09:23,520 When there's been an outbreak of disease 165 00:09:23,600 --> 00:09:26,440 that requires my input, I'll go and take some samples. 166 00:09:27,920 --> 00:09:30,400 And I might swab some tonsils or nostrils, 167 00:09:30,480 --> 00:09:32,560 or take some blood from their jugular vein. 168 00:09:33,880 --> 00:09:36,520 And the whole time, I'm kind of leaning down 169 00:09:36,600 --> 00:09:39,720 in front of the nose and mouth of a pig 170 00:09:39,840 --> 00:09:41,120 which might have died 171 00:09:41,200 --> 00:09:44,480 from something like swine flu, which could potentially pass to me 172 00:09:44,560 --> 00:09:47,680 or some unknown disease which we haven't discovered yet. 173 00:09:48,280 --> 00:09:53,120 The level of ammonia coming from tons of waste 174 00:09:53,200 --> 00:09:56,800 from these animals and the dust that builds up, 175 00:09:57,120 --> 00:09:58,960 everything those pigs are breathing out, 176 00:09:59,080 --> 00:10:02,760 you're just breathing in, so you come out and your eyes are red 177 00:10:02,960 --> 00:10:05,760 and streaming and you're choking in it. 178 00:10:06,640 --> 00:10:09,000 But those pigs are in it 24/7. 179 00:10:09,160 --> 00:10:12,960 That's the reason we see so much respiratory disease 180 00:10:13,040 --> 00:10:14,760 and you see lungs coming through. 181 00:10:15,280 --> 00:10:18,600 The abattoirs that have got pneumonia and various bacterial diseases, 182 00:10:18,680 --> 00:10:21,600 like the concoctions of respiratory pathogens, 183 00:10:22,520 --> 00:10:26,120 because of those enclosed spaces are phenomenal. 184 00:10:29,640 --> 00:10:33,800 It was quite soul-destroying really, because most of the time what I felt 185 00:10:34,280 --> 00:10:37,600 was probably the best option for the animals I saw 186 00:10:37,680 --> 00:10:41,840 suffering or sick or injured was to shoot them. 187 00:10:41,920 --> 00:10:43,640 And I was doing that most days. 188 00:10:43,920 --> 00:10:46,720 I carried a bolt gun in my car and a screwdriver 189 00:10:47,360 --> 00:10:49,080 to euthanize animals daily. 190 00:10:50,720 --> 00:10:52,320 It just wasn't, it wasn't really 191 00:10:52,360 --> 00:10:54,760 what I signed up for as a vet, let's be honest. 192 00:10:57,680 --> 00:11:00,120 To shoot an animal, you have to look in their eyes. 193 00:11:00,200 --> 00:11:02,680 That was a daily occurrence, I'd go home 194 00:11:02,840 --> 00:11:07,680 with these eyes of animals that were utterly miserable. 195 00:11:08,960 --> 00:11:10,440 I'd have horrible nightmares 196 00:11:10,520 --> 00:11:15,320 all the time about killing animals 197 00:11:15,360 --> 00:11:17,920 and spent quite a lot of time in slaughterhouses. 198 00:11:18,000 --> 00:11:20,480 And I'd just get this recurring loop of animals 199 00:11:20,560 --> 00:11:22,720 getting killed in my dreams. 200 00:11:23,720 --> 00:11:27,640 The way that I dealt with it at the time was, 201 00:11:28,560 --> 00:11:32,040 "If I'm not doing it, then somebody else will 202 00:11:32,160 --> 00:11:33,680 who probably doesn't care." 203 00:11:40,320 --> 00:11:43,560 These are studies that show drops in lung function, 204 00:11:43,680 --> 00:11:45,880 around factory farms and things like that. 205 00:11:45,960 --> 00:11:48,920 So there are many, many, many studies, 206 00:11:49,080 --> 00:11:50,840 that very clearly show disease. 207 00:11:51,360 --> 00:11:53,880 If you look at every step along the pathway, 208 00:11:54,720 --> 00:11:58,480 the use of animals for food causes disease in humans, 209 00:11:58,760 --> 00:12:00,480 starting with the farms. 210 00:12:00,800 --> 00:12:03,120 The people who work there and who live there, 211 00:12:03,200 --> 00:12:05,440 we see increased rates of respiratory ailments, 212 00:12:05,680 --> 00:12:07,800 GI ailments from water contamination, 213 00:12:08,000 --> 00:12:10,480 increased rates of skin and wound infections. 214 00:12:10,600 --> 00:12:12,240 Then to the slaughterhouses. 215 00:12:12,400 --> 00:12:15,840 As they are slaughtering the animals, they are often opening the belly. 216 00:12:16,320 --> 00:12:18,920 When they open the belly, they often have to do it 217 00:12:19,000 --> 00:12:21,440 so quickly that they tear into the intestines. 218 00:12:21,600 --> 00:12:25,360 So now you have spillage of intestinal contents, i.e. feces, 219 00:12:25,600 --> 00:12:28,720 splashing on the person, on the flesh itself. 220 00:12:29,760 --> 00:12:32,000 Then you move to the processing of it. 221 00:12:32,400 --> 00:12:36,280 So you now have products that are contaminated with bacteria. 222 00:12:36,360 --> 00:12:38,520 There are plenty of studies to show this. 223 00:12:38,680 --> 00:12:40,600 Now you shift over to the consumer, 224 00:12:40,680 --> 00:12:42,720 because it has moved to the consumer. 225 00:12:44,560 --> 00:12:47,280 There was a study done by the University of Minnesota 226 00:12:47,400 --> 00:12:50,960 in which they went to 10 large retailers 227 00:12:51,240 --> 00:12:53,880 and collected samples of the meat, 228 00:12:54,080 --> 00:12:58,680 the pork, and the beef products sold in all those grocery stores. 229 00:12:58,960 --> 00:13:01,360 And they sampled them, and they found that 230 00:13:01,600 --> 00:13:04,760 there was E. coli in 60 to 70% 231 00:13:04,800 --> 00:13:07,240 of the beef and the pork products 232 00:13:07,960 --> 00:13:11,760 and 92% of the chicken products. 233 00:13:12,040 --> 00:13:14,520 These are just some of the infectious disease risks 234 00:13:14,600 --> 00:13:16,360 coming from these factory farms. 235 00:13:18,160 --> 00:13:20,920 Another bleak day of record COVID figures. 236 00:13:21,280 --> 00:13:24,680 And at Croydon University Hospital it is status red. 237 00:13:24,840 --> 00:13:27,680 Ambulances asked to take patients elsewhere 238 00:13:27,840 --> 00:13:30,040 if at all possible across London. 239 00:13:32,000 --> 00:13:33,040 COVID-19 240 00:13:33,600 --> 00:13:37,680 has pretty much brought the world to its knees. 241 00:13:37,800 --> 00:13:39,560 Over a million people have now died. 242 00:13:40,400 --> 00:13:43,280 That's a huge number of people to have lost their lives. 243 00:13:43,360 --> 00:13:48,960 It's a huge number of people to be out of work and unable to socialize. 244 00:13:50,400 --> 00:13:52,640 But the thing to remember is that COVID-19, 245 00:13:53,200 --> 00:13:55,720 it spread very quickly, and infected a lot of people, 246 00:13:55,880 --> 00:13:59,200 but potential pathogens for pandemics in the future 247 00:13:59,280 --> 00:14:02,000 have much, much higher mortality rates. 248 00:14:02,240 --> 00:14:06,720 The CDC have tipped the next pandemic as an avian influenza, 249 00:14:06,880 --> 00:14:09,120 which has a mortality rate of 40%. 250 00:14:09,960 --> 00:14:14,040 It's a horrifying thought, but it's a very real possibility 251 00:14:14,120 --> 00:14:17,280 and the more that we're 252 00:14:17,680 --> 00:14:19,640 creating these scenarios in which viruses 253 00:14:19,680 --> 00:14:23,160 can mutate in that way, there is a very real risk 254 00:14:23,240 --> 00:14:26,000 of something much worse than COVID-19 happening. 255 00:14:27,080 --> 00:14:30,240 We only need to look at past pandemics to know this. 256 00:14:33,000 --> 00:14:36,200 Well, the last global pandemic that we had 257 00:14:36,360 --> 00:14:39,800 was the swine flu pandemic of 2009. 258 00:14:40,480 --> 00:14:44,280 Scientists are fairly certain that it originated from a factory farm. 259 00:14:44,360 --> 00:14:49,560 Now global estimates place about 500,000 people 260 00:14:49,640 --> 00:14:52,160 as casualties of that last pandemic. 261 00:14:52,240 --> 00:14:57,080 So incredibly serious stuff originating right down the road 262 00:14:57,120 --> 00:14:59,520 from a massive pig facility. 263 00:15:01,000 --> 00:15:03,920 And it makes sense that that pig farm was ground zero 264 00:15:04,080 --> 00:15:05,760 for the 2009 pandemic. 265 00:15:05,880 --> 00:15:09,480 Pigs and humans share a lot of genetic material, 266 00:15:09,560 --> 00:15:12,000 so pigs are this perfect host, 267 00:15:12,080 --> 00:15:14,800 and when that happens, influenza mutates 268 00:15:14,920 --> 00:15:17,760 and it can become highly pathogenic 269 00:15:17,920 --> 00:15:21,920 and wreak absolute havoc in the human population. 270 00:15:24,520 --> 00:15:27,960 As far as the 1918 pandemic, we know why that happened. 271 00:15:28,040 --> 00:15:29,960 It was a virulent disease that occurred 272 00:15:30,040 --> 00:15:32,080 when troops were moved all over the world. 273 00:15:32,200 --> 00:15:35,320 So you had massive movement of people in confined spaces. 274 00:15:35,880 --> 00:15:40,080 Just because the 1918 flu did not involve factory farms, 275 00:15:40,160 --> 00:15:44,120 it does not mean that it didn't involve other animals. 276 00:15:44,160 --> 00:15:46,920 In fact, they recently sequenced the genome 277 00:15:47,040 --> 00:15:49,640 by taking samples from lung tissue 278 00:15:49,920 --> 00:15:52,640 of people who had actually died of the Spanish flu, 279 00:15:52,720 --> 00:15:55,680 and they found genetic material for avian viruses, 280 00:15:55,760 --> 00:16:00,640 swine viruses, so very clearly there is still some relationship 281 00:16:00,720 --> 00:16:04,120 between the 1918 flu and animal use. 282 00:16:04,280 --> 00:16:07,280 We very clearly know that the more recent epidemics, 283 00:16:07,440 --> 00:16:11,560 the 1957 epidemic, the 1968 epidemic, 2009 swine flu, 284 00:16:11,720 --> 00:16:13,880 these were all related to our use of animals. 285 00:16:16,360 --> 00:16:18,280 We're in the middle of a pandemic. 286 00:16:18,600 --> 00:16:22,240 It's like there's no bigger wake-up call. 287 00:16:22,320 --> 00:16:24,480 I don't know what more we need 288 00:16:25,120 --> 00:16:26,880 to start taking action on this. 289 00:16:27,040 --> 00:16:30,760 The only thing that will stop us from picking up zoonotic disease 290 00:16:31,880 --> 00:16:34,000 is stopping messing with animals. 291 00:16:35,760 --> 00:16:39,400 But obviously we don't know for sure where COVID came from. 292 00:16:39,480 --> 00:16:42,480 People are very focused on the wildlife trade 293 00:16:42,560 --> 00:16:44,640 and even these lab leak theories. 294 00:16:44,680 --> 00:16:47,760 But in particular, people are looking at wet markets. 295 00:16:47,920 --> 00:16:51,280 So because we don't have anything like that over here, 296 00:16:51,360 --> 00:16:54,160 to what extent can we wash our hands of these issues? 297 00:16:56,160 --> 00:16:59,200 I went to document a wet market. 298 00:17:00,000 --> 00:17:01,720 In these wet markets, 299 00:17:02,000 --> 00:17:06,320 there were several stalls that have live frogs, 300 00:17:06,480 --> 00:17:09,600 bullfrogs that are kept in cages and slaughtered on the spot, 301 00:17:09,760 --> 00:17:12,720 that have turtles kept in buckets, 302 00:17:13,200 --> 00:17:16,720 and they stay there in dirty water, in their own feces. 303 00:17:17,200 --> 00:17:18,360 They are not fed. 304 00:17:18,520 --> 00:17:21,800 They are kept in stressful, unclean conditions. 305 00:17:22,120 --> 00:17:26,440 There are no hygiene precautions whatsoever. 306 00:17:26,960 --> 00:17:31,680 And this is really an environment that is really ripe for having 307 00:17:31,760 --> 00:17:35,520 all kinds of pathogen develop and transmit again very easily, 308 00:17:35,640 --> 00:17:38,920 from one bucket to another bucket. 309 00:17:39,720 --> 00:17:42,840 We cannot talk about physical distancing 310 00:17:43,080 --> 00:17:46,360 and apply really strict measures to prevent people 311 00:17:46,440 --> 00:17:48,840 from visiting their loved ones, 312 00:17:49,160 --> 00:17:51,600 while allowing these wet markets to still 313 00:17:52,040 --> 00:17:53,920 continue business as usual. 314 00:17:54,520 --> 00:17:55,720 This is not okay. 315 00:17:58,160 --> 00:17:59,800 Coronavirus, right? 316 00:18:01,720 --> 00:18:04,640 Kung Flu. Kung Flu. 317 00:18:05,560 --> 00:18:07,120 Kung Flu. 318 00:18:07,480 --> 00:18:10,480 Asians around the world have reported discrimination 319 00:18:10,600 --> 00:18:12,240 linked to coronavirus. 320 00:18:12,400 --> 00:18:14,720 Those we've spoken to fear the numbers 321 00:18:14,800 --> 00:18:17,320 being verbally abused and assaulted 322 00:18:17,400 --> 00:18:20,160 will rise even more sharply in the weeks ahead. 323 00:18:21,440 --> 00:18:24,560 This year, even from the end of January I would say, 324 00:18:24,640 --> 00:18:28,680 before COVID-19 had hit the UK, 325 00:18:28,800 --> 00:18:32,760 I was sitting on the train to work and someone sat down, looked at me 326 00:18:32,840 --> 00:18:36,360 and got back up, covering their face with the collar of their coat. 327 00:18:36,560 --> 00:18:38,760 I looked, they're not doing it to anyone else. 328 00:18:38,840 --> 00:18:40,680 It's obvious what's going on here. 329 00:18:40,800 --> 00:18:42,840 The new strain of coronavirus... 330 00:18:42,920 --> 00:18:45,760 All the media reports only showed East Asian people 331 00:18:46,560 --> 00:18:51,000 We noticed like a 60% decrease in overall sales, 332 00:18:51,080 --> 00:18:53,400 and then footfall was so far down. 333 00:18:53,800 --> 00:18:56,560 You'd see people walk past and point and laugh. 334 00:18:56,840 --> 00:18:59,120 I could notice people saying things like, 335 00:18:59,640 --> 00:19:02,640 "Don't bother supporting them. Chinese people are dogs. 336 00:19:02,720 --> 00:19:04,680 They eat dogs, they eat bats. 337 00:19:04,800 --> 00:19:06,080 They're so dirty." 338 00:19:06,520 --> 00:19:09,840 I've never known a level of racism 339 00:19:09,920 --> 00:19:13,360 as explicitly and as common as during this time. 340 00:19:13,840 --> 00:19:15,720 I definitely feel that the fingers 341 00:19:15,920 --> 00:19:19,520 pointed to people just generally not in the West. 342 00:19:22,640 --> 00:19:26,320 Inevitably, when something bad happens, 343 00:19:26,440 --> 00:19:29,120 you can look to blame someone else. 344 00:19:29,280 --> 00:19:33,040 And in doing so, what you can end up doing is alienating 345 00:19:34,120 --> 00:19:36,000 parts of your own society. 346 00:19:36,840 --> 00:19:39,560 I think, pointing the finger, 347 00:19:39,640 --> 00:19:42,240 we're kind of missing the crux of it, 348 00:19:42,280 --> 00:19:45,840 which is that our own patterns of consumption, 349 00:19:45,920 --> 00:19:48,160 whether that's food, fashion, entertainment, 350 00:19:49,080 --> 00:19:52,600 are driving us down a road that won't be easy to come back from. 351 00:19:53,200 --> 00:19:55,600 It's really interesting looking at the conditions 352 00:19:55,680 --> 00:19:59,800 of wet markets in China, animals stacked on top of each other, 353 00:20:00,120 --> 00:20:03,640 mired in their own feces and urine, highly stressed, 354 00:20:03,720 --> 00:20:05,880 close human and animal contact, 355 00:20:05,960 --> 00:20:09,200 and that's where we suspect COVID-19 came from. 356 00:20:09,800 --> 00:20:12,120 But if you take those similar characteristics 357 00:20:12,280 --> 00:20:14,880 and look at factory farms in the West, 358 00:20:14,960 --> 00:20:19,440 in the UK, in America, all over Europe, extremely similar situations 359 00:20:19,520 --> 00:20:21,360 of incredibly stressed animals 360 00:20:21,520 --> 00:20:24,080 who are denied all that comes naturally to them. 361 00:20:24,240 --> 00:20:27,720 And it's when human beings treat animals badly 362 00:20:28,640 --> 00:20:34,360 we see disease mutating quite quickly and then jumping the species barrier. 363 00:20:34,560 --> 00:20:38,400 So the comparisons between wet markets and factory farms 364 00:20:38,480 --> 00:20:42,160 I think are incredibly fair, and as a Western society, 365 00:20:42,360 --> 00:20:46,160 we absolutely must look at what's happening in our backyard first. 366 00:20:49,280 --> 00:20:51,440 Even if we just look at the wildlife trade 367 00:20:51,520 --> 00:20:53,840 and ignore factory farming, 368 00:20:54,240 --> 00:20:57,080 that's not something we can completely wash our hands of. 369 00:21:00,000 --> 00:21:03,240 Yeah, it's easy to say that the problem started over there. 370 00:21:03,400 --> 00:21:04,680 It's not our fault. 371 00:21:04,800 --> 00:21:07,240 It's much harder to turn the mirror onto ourselves 372 00:21:07,320 --> 00:21:09,120 and look at how we are increasing 373 00:21:09,200 --> 00:21:11,440 our risks for these infectious diseases. 374 00:21:12,960 --> 00:21:15,840 Every country is involved in this wildlife trade, 375 00:21:16,080 --> 00:21:18,160 that leads to things like the wet market, 376 00:21:18,240 --> 00:21:20,560 leads to animals being shipped around the globe, 377 00:21:20,680 --> 00:21:23,360 captured from the wild, used in circuses, 378 00:21:23,440 --> 00:21:26,920 used to stock zoos, used for laboratory experiments, 379 00:21:27,000 --> 00:21:29,480 used as medicinal objects, used for their fur 380 00:21:29,560 --> 00:21:31,600 and their skin and their meat. 381 00:21:31,720 --> 00:21:34,320 And the United States is one of the biggest importers 382 00:21:34,400 --> 00:21:36,360 and biggest exporters of wildlife. 383 00:21:36,480 --> 00:21:39,080 Europe is a big importer and exporter of wildlife too. 384 00:21:39,160 --> 00:21:40,640 So we are a huge culprit. 385 00:21:40,720 --> 00:21:44,160 We expose ourselves to more animals, ship them around the globe. 386 00:21:44,280 --> 00:21:47,320 These animals are treated incredibly horribly, 387 00:21:47,400 --> 00:21:49,680 they're distressed and their immunity is down 388 00:21:49,840 --> 00:21:52,360 so they can very easily catch infectious diseases. 389 00:21:52,520 --> 00:21:54,920 And so the wildlife trade brings together 390 00:21:55,000 --> 00:21:57,760 a lot of sick species, species which normally 391 00:21:57,840 --> 00:21:59,640 would not interact with each other. 392 00:22:01,320 --> 00:22:02,480 Are we hypocrites? 393 00:22:04,080 --> 00:22:05,640 I sort of think we are, 394 00:22:06,040 --> 00:22:09,760 because we ignore the parts of wildlife trade 395 00:22:09,920 --> 00:22:13,240 that we want to ignore because they serve our purpose, 396 00:22:13,480 --> 00:22:16,680 and we cry out against the parts of wildlife trade 397 00:22:16,760 --> 00:22:20,200 that we've decided are unacceptable. 398 00:22:20,800 --> 00:22:25,000 The wildlife trade is pervasive, I mean, it's kind of everywhere, 399 00:22:25,080 --> 00:22:26,880 and it's not just what we read about 400 00:22:26,960 --> 00:22:30,400 in the headlines of the papers, ivory trade, rhino horn trade, 401 00:22:30,560 --> 00:22:33,400 tigers being traded, pangolins being traded. 402 00:22:33,600 --> 00:22:35,800 It's things that we sort of don't 403 00:22:36,000 --> 00:22:39,560 even think about, and we are, in the West, 404 00:22:39,840 --> 00:22:41,960 in the US, in Canada, 405 00:22:42,040 --> 00:22:46,440 in Europe, in the UK, consumers of many of those products 406 00:22:46,520 --> 00:22:48,240 that are internationally traded. 407 00:22:49,080 --> 00:22:51,080 Forests contain value, 408 00:22:51,560 --> 00:22:56,400 huge value in timber species, and so those arterial roads 409 00:22:56,480 --> 00:22:58,360 that forge their way into the forests 410 00:22:58,560 --> 00:23:01,720 mean that we have gone into the wild 411 00:23:02,120 --> 00:23:05,080 in a way that is massively destructive 412 00:23:05,600 --> 00:23:07,520 and carries with it enormous risk. 413 00:23:07,920 --> 00:23:10,080 And back down that road 414 00:23:10,560 --> 00:23:15,560 come the logs, but come the wildlife, comes the disease. 415 00:23:15,960 --> 00:23:19,880 So it's now like a beating heart. 416 00:23:20,040 --> 00:23:22,040 We are pumping blood into the forest, 417 00:23:22,080 --> 00:23:24,360 and we are seeing the blood sucked out of it. 418 00:23:24,760 --> 00:23:25,920 And here we are. 419 00:23:28,680 --> 00:23:33,880 HIV and Ebola were carried by non-human primates, chimpanzees, 420 00:23:34,080 --> 00:23:36,000 but because of the bushmeat trade, 421 00:23:39,240 --> 00:23:40,960 and because of the logging industry, 422 00:23:41,040 --> 00:23:44,160 that destroyed a lot of the natural habitat of these animals, 423 00:23:44,240 --> 00:23:47,280 it brought humans really much closer to these animals. 424 00:23:47,360 --> 00:23:50,960 And we suspect that it is that combination, the logging industry 425 00:23:51,040 --> 00:23:55,560 and the bushmeat trade that caused the first HIV infection in a human. 426 00:23:55,680 --> 00:23:57,800 And we suspect that's how we got Ebola. 427 00:23:58,800 --> 00:24:01,360 When we destroy the natural habitats of animals, 428 00:24:01,520 --> 00:24:04,520 we are increasing the opportunities for humans 429 00:24:04,600 --> 00:24:06,840 to come into contact with species 430 00:24:07,120 --> 00:24:09,720 that may carry infectious diseases 431 00:24:10,000 --> 00:24:12,080 that we may not have encountered before. 432 00:24:13,240 --> 00:24:15,240 The wildlife trade is destructive. 433 00:24:15,360 --> 00:24:18,040 It's destructive to ecological habitats. 434 00:24:18,120 --> 00:24:20,160 It's destructive to many species. 435 00:24:20,240 --> 00:24:22,760 And it's destructive for us because it increases 436 00:24:22,840 --> 00:24:24,480 our risk of infectious diseases. 437 00:24:24,680 --> 00:24:26,680 We don't need it. That needs to end. 438 00:24:29,680 --> 00:24:32,880 I think the problem is, one of the central problems 439 00:24:32,960 --> 00:24:37,640 is that we are just consumers, consumers on a massive scale. 440 00:24:38,120 --> 00:24:41,040 The sheer number of people and the fact they need to eat, 441 00:24:41,120 --> 00:24:45,040 somewhere to sleep, and things in their house if they have a house. 442 00:24:45,200 --> 00:24:47,800 And all of those things drive 443 00:24:48,000 --> 00:24:50,240 the engine of consumption around the world. 444 00:24:51,480 --> 00:24:52,960 And what we don't realize is 445 00:24:53,120 --> 00:24:55,680 that that will be the cause of our own destruction. 446 00:24:55,920 --> 00:24:58,040 Because we're not the planet's stewards, 447 00:24:58,160 --> 00:25:00,560 we're the exploiters of the planet right now. 448 00:25:03,440 --> 00:25:05,680 History has taught us, and what we see now 449 00:25:05,800 --> 00:25:09,800 is teaching us that anywhere and any way that we treat animals 450 00:25:10,080 --> 00:25:12,800 badly or unnaturally, it leads to problems. 451 00:25:13,120 --> 00:25:15,680 Not only for the animals, but we'll say for us. 452 00:25:26,600 --> 00:25:29,840 So tell me what that letter is. 453 00:25:30,680 --> 00:25:34,400 So I am currently under investigation 454 00:25:34,480 --> 00:25:36,960 by the Royal College of Veterinary Surgeons, 455 00:25:37,320 --> 00:25:38,800 which means that I'm at risk 456 00:25:38,920 --> 00:25:41,240 of having my license to practice revoked. 457 00:25:42,840 --> 00:25:45,400 And why are you under investigation? 458 00:25:46,440 --> 00:25:52,080 I publicly spoke about my experience within the pig industry. 459 00:25:53,120 --> 00:25:56,520 So that's what you've done, you've just spoken about your experiences? 460 00:25:57,720 --> 00:25:59,240 Yes, pretty much. 461 00:26:00,600 --> 00:26:02,200 What their problem is with that 462 00:26:02,280 --> 00:26:04,640 is that my comments could undermine the integrity 463 00:26:04,720 --> 00:26:08,880 of the veterinary profession and damage the reputation. 464 00:26:09,040 --> 00:26:11,760 And how does it feel receiving that letter? 465 00:26:13,560 --> 00:26:16,600 I suppose quite shocked and quite scared because I don't, 466 00:26:18,600 --> 00:26:20,680 I don't feel I did anything wrong as a vet, 467 00:26:20,760 --> 00:26:22,880 and I feel like I was a very good vet. 468 00:26:24,160 --> 00:26:27,400 It feels a little bit of an injustice, 469 00:26:27,480 --> 00:26:32,960 since then I've kind of looked through previous cases 470 00:26:33,040 --> 00:26:36,320 that have gone to court of vets and nurses under disciplinary action 471 00:26:36,400 --> 00:26:41,400 and you've got actual pedophiles, 472 00:26:41,480 --> 00:26:44,560 sex offenders, drunk drivers 473 00:26:44,640 --> 00:26:47,440 who've caused death, theft of controlled drugs, 474 00:26:48,000 --> 00:26:49,240 that sort of thing. 475 00:26:49,320 --> 00:26:52,440 So to be lumped in with actual criminals 476 00:26:52,520 --> 00:26:56,720 when I've purely given a few truthful opinions 477 00:26:56,800 --> 00:27:00,720 of my own experience is quite challenging 478 00:27:01,000 --> 00:27:02,680 to take, to be honest. 479 00:27:17,880 --> 00:27:19,840 Like I told you, they won't talk to me. 480 00:27:20,560 --> 00:27:23,840 That's why I'm talking to you now. They don't want to talk to me. 481 00:27:24,360 --> 00:27:25,960 It is just ridiculous. 482 00:27:26,240 --> 00:27:31,280 And I feel like if people knew before they got into the business 483 00:27:31,360 --> 00:27:33,720 what they go through if they make a complaint 484 00:27:34,120 --> 00:27:36,640 or were dissatisfied, what they would go through 485 00:27:36,720 --> 00:27:38,280 to get an answer to something, 486 00:27:39,080 --> 00:27:40,440 they wouldn't get into it. 487 00:27:49,480 --> 00:27:53,200 Was there anything to do with this particular film 488 00:27:53,400 --> 00:27:56,280 that was an impacting factor in all this? 489 00:27:56,600 --> 00:27:57,600 Yes. 490 00:27:57,760 --> 00:28:01,680 So the company cites Rudy's 491 00:28:02,320 --> 00:28:07,080 allowing a film team to come into his barns 492 00:28:07,320 --> 00:28:09,920 as a reason for termination. 493 00:28:11,000 --> 00:28:14,160 He was terminated, not because he did anything wrong, 494 00:28:14,320 --> 00:28:17,720 not because he violated anything in his contract, 495 00:28:17,760 --> 00:28:20,160 it was for speaking out against the company. 496 00:28:20,920 --> 00:28:23,520 I think the industry hopes that Rudy will 497 00:28:23,800 --> 00:28:25,440 be a signal to other farmers, 498 00:28:25,520 --> 00:28:28,640 you better shut up or you're going to get your contract canceled. 499 00:28:30,160 --> 00:28:32,000 The industry works incredibly hard 500 00:28:32,080 --> 00:28:34,280 to stop people from exposing its secrets. 501 00:28:36,400 --> 00:28:38,680 So given that you were told you're not allowed 502 00:28:38,840 --> 00:28:41,040 to talk about these things, does that mean 503 00:28:41,120 --> 00:28:43,000 that you will stop talking about them 504 00:28:43,080 --> 00:28:45,520 and that you can't be a part of this film anymore? 505 00:28:46,920 --> 00:28:48,800 No, I won't be silenced. 506 00:28:49,680 --> 00:28:51,560 I've acted in accordance with the oath 507 00:28:51,640 --> 00:28:53,560 I swore on entry to the profession. 508 00:28:53,640 --> 00:28:56,040 So no amount of bullying or threats 509 00:28:56,120 --> 00:28:58,320 will stop me from doing what is right, 510 00:28:58,920 --> 00:29:01,920 particularly when there's another issue we haven't spoken about 511 00:29:01,960 --> 00:29:04,840 that's infinitely more pressing than my career 512 00:29:04,920 --> 00:29:07,560 and potentially much more devastating than a pandemic. 513 00:29:15,160 --> 00:29:16,880 Are you comfortable and everything? 514 00:29:17,560 --> 00:29:19,040 Brilliant, okay. 515 00:29:20,120 --> 00:29:23,520 If we start off and you just tell me who you are 516 00:29:23,600 --> 00:29:25,960 and what roles you have had in the past 517 00:29:26,040 --> 00:29:27,360 and what you're doing now. 518 00:29:27,720 --> 00:29:29,400 Professor Dame Sally Davies. 519 00:29:29,480 --> 00:29:32,240 I'm the master of Trinity College and the special envoy 520 00:29:32,320 --> 00:29:35,200 on antimicrobial resistance for the UK government. 521 00:29:35,600 --> 00:29:39,320 Until this time last year, I was the chief medical officer for England 522 00:29:39,360 --> 00:29:42,280 and the most senior medical advisor to the UK government. 523 00:29:42,960 --> 00:29:47,520 And given your experience, what is it that worries you most 524 00:29:47,640 --> 00:29:49,600 about where human health is heading? 525 00:29:50,280 --> 00:29:53,880 It's really interesting, climate change is of the moment. 526 00:29:54,520 --> 00:29:57,240 The younger generation have really taken it up, 527 00:29:57,400 --> 00:29:59,480 and I am delighted because it matters. 528 00:29:59,920 --> 00:30:03,200 But actually AMR will kill us before climate change. 529 00:30:03,480 --> 00:30:06,560 And we need everyone to understand that. 530 00:30:07,320 --> 00:30:10,040 AMR is a pandemic, 531 00:30:10,200 --> 00:30:12,800 it's just a slow-growing one, 532 00:30:12,960 --> 00:30:16,600 unlike COVID, which happened really fast. 533 00:30:17,480 --> 00:30:21,440 What we're seeing is that bugs, whether they're bacteria, 534 00:30:21,520 --> 00:30:26,040 viruses, parasites, fungi, are evolving to develop resistance 535 00:30:26,160 --> 00:30:29,080 to the very medicines we use to treat them. 536 00:30:29,560 --> 00:30:33,640 And unfortunately, the end result if this goes on 537 00:30:33,920 --> 00:30:35,680 will be really dreadful. 538 00:30:35,840 --> 00:30:38,480 And I've talked about the post-antibiotic apocalypse 539 00:30:38,600 --> 00:30:42,720 where you'd see a lot longer stays in hospital, 540 00:30:42,840 --> 00:30:44,800 much higher mortality, 541 00:30:45,200 --> 00:30:48,360 and go back to the era before penicillin. 542 00:30:49,200 --> 00:30:52,320 Antimicrobial resistance keeps me awake at night. 543 00:30:53,880 --> 00:30:56,720 What this really looks like if we don't have effective 544 00:30:56,800 --> 00:31:01,000 antibiotics in the future is taking your brother, your child. 545 00:31:01,160 --> 00:31:04,680 your wife to hospital in their prime of life 546 00:31:04,800 --> 00:31:08,440 and knowing as you arrive, there is nothing that can be done. 547 00:31:08,640 --> 00:31:10,080 That's what this really means. 548 00:31:12,480 --> 00:31:16,640 So antibiotic-resistant infections or antibiotic-resistant bacteria 549 00:31:16,720 --> 00:31:19,560 evolve whenever we use antibiotics. 550 00:31:19,880 --> 00:31:23,520 And so the main driving force is the overuse of antibiotics. 551 00:31:23,680 --> 00:31:26,840 The other major factor, though, is poor hygiene, 552 00:31:26,880 --> 00:31:28,000 poor water. 553 00:31:28,320 --> 00:31:29,760 Lack of waste water treatment 554 00:31:29,840 --> 00:31:32,560 in lower and middle-income countries is a major problem. 555 00:31:32,720 --> 00:31:37,520 So those two things together, poor hygiene and high drug use, 556 00:31:37,920 --> 00:31:40,960 is what fuels this whole crisis that we are in today. 557 00:31:42,240 --> 00:31:44,760 Antibiotics have been a victim of their own success. 558 00:31:44,840 --> 00:31:47,120 They've been so useful, so since 1928, 559 00:31:47,200 --> 00:31:51,520 when Fleming discovered the first antibiotic and it got mass produced, 560 00:31:51,680 --> 00:31:54,120 we've taken it for granted that these antibiotics 561 00:31:54,240 --> 00:31:56,880 will always be there and we will always have a means 562 00:31:56,960 --> 00:31:59,840 to treat an infection, which isn't the case anymore really. 563 00:32:01,200 --> 00:32:04,880 There is a big issue when it comes to the overuse of antibiotics. 564 00:32:05,320 --> 00:32:07,960 But the problem is, even if all doctors stopped 565 00:32:08,040 --> 00:32:09,640 prescribing antibiotics, 566 00:32:10,400 --> 00:32:11,960 the animal industry 567 00:32:12,000 --> 00:32:13,800 are getting so many antibiotics 568 00:32:13,880 --> 00:32:15,800 what we do makes very little difference. 569 00:32:16,560 --> 00:32:20,360 For the past five to ten years, doctors have felt it is important 570 00:32:20,440 --> 00:32:22,960 to reduce over-prescription of antibiotics. 571 00:32:23,160 --> 00:32:25,280 This is important because we want to limit 572 00:32:25,360 --> 00:32:27,600 the antibiotic resistance that we are seeing 573 00:32:27,720 --> 00:32:29,000 in our patients. 574 00:32:29,280 --> 00:32:32,440 What's more frustrating, I think to me and other doctors like me 575 00:32:32,520 --> 00:32:36,080 who are aware of the risk, is that we have no control. 576 00:32:36,160 --> 00:32:37,280 There is no monitoring. 577 00:32:37,360 --> 00:32:40,320 There is no limitation currently 578 00:32:40,400 --> 00:32:42,640 on antibiotic use in factory farms. 579 00:32:47,400 --> 00:32:52,680 This is a box of kind of the remnants 580 00:32:53,040 --> 00:32:56,280 of documents and conference notes, et cetera, 581 00:32:56,360 --> 00:33:00,280 that I've kept from my years in the pig industry. 582 00:33:00,640 --> 00:33:03,840 It is quite strange, coming out and sort of 583 00:33:04,160 --> 00:33:07,840 really looking at this and looking at the sheer volume 584 00:33:07,920 --> 00:33:12,200 of antibiotics that I was using and I used regularly. 585 00:33:13,240 --> 00:33:15,040 Hundreds of tons worth of feed 586 00:33:16,080 --> 00:33:18,920 with antibiotics added. 587 00:33:19,080 --> 00:33:20,200 Most of the pigs 588 00:33:21,120 --> 00:33:22,760 bred and slaughtered for meat 589 00:33:22,920 --> 00:33:27,000 will at some point require antibiotics, 590 00:33:27,080 --> 00:33:29,840 and mostly it's because of how we're keeping them 591 00:33:30,000 --> 00:33:31,480 and what we're doing to them. 592 00:33:31,680 --> 00:33:35,840 You can't cut off someone's teeth and tail 593 00:33:35,920 --> 00:33:40,360 and put them into a really contaminated, cold environment 594 00:33:40,440 --> 00:33:43,440 and expect them to not need some sort of help. 595 00:33:45,040 --> 00:33:48,240 Antibiotics go hand in hand with factory farms. 596 00:33:49,240 --> 00:33:52,760 These animals would not survive long enough to be productive, 597 00:33:53,040 --> 00:33:56,200 to be able to produce the meat that the agribusiness 598 00:33:56,360 --> 00:33:58,560 is counting on without antibiotics. 599 00:33:59,160 --> 00:34:03,000 Studies have shown that we have seen antibiotic-resistant bacteria 600 00:34:03,080 --> 00:34:06,520 in the animals in factory farms, in the workers who are working 601 00:34:06,600 --> 00:34:10,920 in factory farms, in the meat that's being sold in the grocery stores. 602 00:34:11,040 --> 00:34:15,880 In the soil, in the land, in the air downstream from factory farms, 603 00:34:15,960 --> 00:34:18,560 we are finding antibiotic-resistant bacteria. 604 00:34:19,000 --> 00:34:21,240 There is no doubt that the feeding 605 00:34:21,320 --> 00:34:24,560 of animals in factory farms heavily, heavily contributes 606 00:34:24,640 --> 00:34:28,360 to this ridiculous rise in antibiotic resistance. 607 00:34:29,760 --> 00:34:31,360 So it was discovered if you fed 608 00:34:31,440 --> 00:34:34,800 really low doses of antibiotics in animal feed, 609 00:34:35,000 --> 00:34:37,160 that the animals would grow faster. 610 00:34:38,000 --> 00:34:40,840 By 2006, the European Union 611 00:34:40,920 --> 00:34:44,440 banned the use of antibiotics as growth promoters. 612 00:34:44,800 --> 00:34:49,280 But this didn't resolve the problem because they were still available 613 00:34:49,440 --> 00:34:52,240 for routine use on veterinary prescription. 614 00:34:52,480 --> 00:34:55,520 And essentially antibiotic use, the misuse, 615 00:34:55,600 --> 00:34:59,080 just continued on and there is no doubt whatsoever 616 00:34:59,160 --> 00:35:01,880 that if we continue along that path, 617 00:35:01,920 --> 00:35:04,720 we are heading for an antibiotic apocalypse. 618 00:35:05,720 --> 00:35:08,880 Do you have any idea if the birds are being given anything? 619 00:35:09,880 --> 00:35:11,480 Antibiotics... 620 00:35:11,920 --> 00:35:15,640 I have no idea, all I know is what's on the feed ticket, 621 00:35:15,720 --> 00:35:19,040 and that's fiber, protein, fat. 622 00:35:19,960 --> 00:35:21,520 But they don't tell you nothing. 623 00:35:21,760 --> 00:35:24,840 But you'll see the birds when they're 8 days old 624 00:35:24,920 --> 00:35:28,480 and when they're 29 days old and you'll see the difference. 625 00:35:28,640 --> 00:35:30,080 So there's got to be something. 626 00:35:30,680 --> 00:35:32,880 I don't know what it is, never checked into it. 627 00:35:33,720 --> 00:35:36,000 So you're saying that's not natural? 628 00:35:37,600 --> 00:35:39,680 No, it's not natural. 629 00:35:40,840 --> 00:35:45,800 More than 70% of the entire use of antibiotics worldwide 630 00:35:46,080 --> 00:35:51,480 is being used in farm animals to prop up this disease-ridden system. 631 00:35:52,040 --> 00:35:56,080 We have the new pandemic already emerging. 632 00:35:56,320 --> 00:36:01,680 A pandemic of people dying every year because of antibiotic resistance, 633 00:36:02,000 --> 00:36:05,840 because of the way that we've kept animals for all of these years. 634 00:36:07,320 --> 00:36:10,360 What we see is a lot of people during a pandemic don't actually 635 00:36:10,440 --> 00:36:14,200 die from the virus itself, but they die from the secondary 636 00:36:14,280 --> 00:36:16,040 bacterial infections that follow. 637 00:36:16,200 --> 00:36:18,160 And if we're going to continue to see 638 00:36:18,280 --> 00:36:21,680 a rise in infectious diseases because the wildlife trade, 639 00:36:21,760 --> 00:36:24,200 because of ecological, environmental destruction, 640 00:36:24,360 --> 00:36:25,760 because of factory farming, 641 00:36:26,320 --> 00:36:27,680 we need antibiotics. 642 00:36:37,560 --> 00:36:39,800 Are those guidances sufficient 643 00:36:39,920 --> 00:36:43,720 in terms of making sure that antibiotic use is safe? 644 00:36:44,400 --> 00:36:47,040 They're called "guidances" because they were voluntary. 645 00:36:47,160 --> 00:36:50,960 This isn't a regulation that the FDA is legislating. 646 00:36:51,280 --> 00:36:53,240 This is a suggestion 647 00:36:53,840 --> 00:36:56,440 to the companies that are selling the antibiotics. 648 00:36:56,520 --> 00:36:59,080 "Hey, guys, maybe stop selling these things." 649 00:37:00,280 --> 00:37:03,640 In the UK, the industry is quite good 650 00:37:05,080 --> 00:37:08,360 at saying, "We're not the only ones to blame," or animal agriculture 651 00:37:08,440 --> 00:37:12,000 isn't the only problem, and therefore ridding themselves 652 00:37:12,080 --> 00:37:14,560 of blame entirely. 653 00:37:14,720 --> 00:37:15,920 And I think 654 00:37:16,160 --> 00:37:18,200 there'd be a lot of chatter around, 655 00:37:18,880 --> 00:37:21,920 "Well we're making a conscious effort to reduce usage," 656 00:37:22,200 --> 00:37:24,160 but it's not quick enough. 657 00:37:24,840 --> 00:37:27,600 Yes, over the last five years, 658 00:37:27,680 --> 00:37:31,000 we've had a target to hit and we have dropped down. 659 00:37:31,560 --> 00:37:34,240 But it's sort of gone like that. 660 00:37:34,320 --> 00:37:36,160 So when we started monitoring, 661 00:37:36,240 --> 00:37:40,400 it really dropped down as we realized what we were doing was ridiculous. 662 00:37:41,160 --> 00:37:42,480 And then it got to a point 663 00:37:42,560 --> 00:37:45,120 where the amount of antibiotics we are using now 664 00:37:45,200 --> 00:37:47,960 is clearly what we need to keep these animals alive 665 00:37:48,000 --> 00:37:51,760 in a system which is not good for those animals. 666 00:37:52,480 --> 00:37:55,680 Short of knocking down half the farms 667 00:37:55,720 --> 00:37:57,280 we have and starting again, 668 00:37:57,360 --> 00:38:00,440 I don't think we're going to achieve a huge drop in usage. 669 00:38:00,840 --> 00:38:03,360 What's really scary is that this issue 670 00:38:03,520 --> 00:38:06,440 of this coming post-antibiotic era 671 00:38:06,520 --> 00:38:08,680 is essentially being swept under the carpet. 672 00:38:08,840 --> 00:38:10,760 Yes, some things are being done. 673 00:38:10,920 --> 00:38:13,280 But you scroll back five years ago, 674 00:38:13,360 --> 00:38:15,120 and half the world's antibiotics 675 00:38:15,200 --> 00:38:16,720 were being fed to farm animals. 676 00:38:16,800 --> 00:38:18,720 Now it's 70% or more. 677 00:38:18,840 --> 00:38:22,200 Things are going in the wrong direction. 678 00:38:22,440 --> 00:38:24,960 Continue as we are, then the prediction is 679 00:38:25,040 --> 00:38:27,640 that ten million people a year 680 00:38:27,720 --> 00:38:30,080 by the middle of this century could be dying 681 00:38:30,240 --> 00:38:33,640 because we squandered antibiotics. 682 00:38:34,800 --> 00:38:37,000 In some ways, you know, it sounds hyperbolic, 683 00:38:37,080 --> 00:38:38,520 the end of medicine, 684 00:38:38,640 --> 00:38:41,840 but without fixing the underlying problem, 685 00:38:41,920 --> 00:38:46,120 the systemic problems that lead to the cycle of new drug, 686 00:38:46,240 --> 00:38:48,040 followed by resistant bacteria, 687 00:38:48,120 --> 00:38:51,400 new drug, resistant bacteria, new drug, resistant bacteria. 688 00:38:51,560 --> 00:38:53,360 If we don't fix that system, 689 00:38:53,760 --> 00:38:56,760 then eventually, we're going to just run out, 690 00:38:57,080 --> 00:38:59,960 run out of ways to safely kill these pathogens, 691 00:39:00,080 --> 00:39:02,320 and that's not a place we want to be in. 692 00:39:09,400 --> 00:39:11,120 Yeah, I don't think the prospect 693 00:39:11,200 --> 00:39:13,680 of the end of medicine is exaggerated at all. 694 00:39:13,760 --> 00:39:16,840 I think it's perfectly feasible and it's been forecast. 695 00:39:17,000 --> 00:39:20,520 I mean, it's clear that we're doing many, many things wrong, 696 00:39:20,640 --> 00:39:22,240 which are a huge health risk. 697 00:39:22,320 --> 00:39:25,720 And for some reason, our governments are still funding it. 698 00:39:39,120 --> 00:39:41,280 So we asked the Department for Environment, 699 00:39:41,320 --> 00:39:44,080 Food and Rural Affairs if they'd be part of this film 700 00:39:44,160 --> 00:39:45,720 so we could ask a few questions. 701 00:39:45,800 --> 00:39:47,760 But they've refused our request. 702 00:39:48,200 --> 00:39:51,040 So as a politician, why do you think that is? 703 00:39:52,000 --> 00:39:55,200 I think they wouldn't want to be pinned down. 704 00:39:55,360 --> 00:39:56,920 So I think, my worry would be 705 00:39:57,000 --> 00:39:58,800 that they've become more entrenched 706 00:39:58,880 --> 00:40:00,480 in the old way of thinking 707 00:40:00,840 --> 00:40:04,040 and didn't want to be put on the spot, 708 00:40:04,160 --> 00:40:05,760 didn't want to be challenged. 709 00:40:05,880 --> 00:40:08,520 So what is it you feel they don't want to talk about? 710 00:40:08,640 --> 00:40:11,320 And do you think they accept that this is a real issue? 711 00:40:12,560 --> 00:40:15,080 Animal agriculture is very influential in terms 712 00:40:15,160 --> 00:40:19,400 of relationships with politicians and trying to influence 713 00:40:19,480 --> 00:40:20,760 the political agenda. 714 00:40:20,920 --> 00:40:23,800 They've moved from denying there's an issue at all 715 00:40:24,160 --> 00:40:26,720 and thinking it's just the cranks that talk about this 716 00:40:26,960 --> 00:40:30,520 to now there's an acknowledgment as an issue, so they play lip service 717 00:40:30,600 --> 00:40:33,360 to the fact this is something that we recognize 718 00:40:33,440 --> 00:40:35,040 we need to do something about. 719 00:40:35,160 --> 00:40:37,560 I think we're now in that territory where it's, 720 00:40:37,640 --> 00:40:40,600 it's how can we make them act, 721 00:40:40,760 --> 00:40:43,480 now that they've had to acknowledge there's an issue? 722 00:40:47,520 --> 00:40:49,440 When it comes to governments in America, 723 00:40:49,480 --> 00:40:52,200 why aren't they doing more to address these issues? 724 00:40:52,360 --> 00:40:54,280 When people elect someone, 725 00:40:54,400 --> 00:40:56,560 they think they elected their Congressperson 726 00:40:56,680 --> 00:41:00,200 or their state senator or their local elected. 727 00:41:00,280 --> 00:41:03,760 They didn't realize that there's a hidden arm to politics 728 00:41:03,840 --> 00:41:06,440 and decision-making in this country, 729 00:41:06,520 --> 00:41:09,360 and it's those who are paid by large corporations 730 00:41:09,440 --> 00:41:12,760 to lobby government and influence the decision. 731 00:41:12,840 --> 00:41:16,600 The lives of voters are really put to the back burner. 732 00:41:16,880 --> 00:41:18,440 And the lives of those lobbyists 733 00:41:18,600 --> 00:41:20,560 and those special interests control 734 00:41:20,680 --> 00:41:22,640 these important decisions that impact 735 00:41:22,800 --> 00:41:24,360 our kitchen tables every day. 736 00:41:26,560 --> 00:41:30,720 The fact that our governmental agencies are in bed, really 737 00:41:30,760 --> 00:41:36,320 with big agribusinesses is a crime because rather than protecting us, 738 00:41:36,480 --> 00:41:39,000 the people, our governmental agencies 739 00:41:39,080 --> 00:41:42,000 are protecting agribusiness industries instead. 740 00:41:43,840 --> 00:41:46,120 Government mantra is often about cheap food, 741 00:41:46,480 --> 00:41:48,720 and that is why we have factory farming, 742 00:41:48,800 --> 00:41:51,240 essentially to produce cheap meat for the masses. 743 00:41:51,360 --> 00:41:55,200 But what that disguises is the true cost of that cheap meat. 744 00:41:55,360 --> 00:41:57,880 What's happened is that for years, 745 00:41:57,960 --> 00:42:02,000 the factory farm industry has had the government in its pockets. 746 00:42:02,200 --> 00:42:06,360 It's had millions of pounds to throw at lobbying 747 00:42:06,880 --> 00:42:09,240 and making sure that it gets its way. 748 00:42:09,440 --> 00:42:11,360 So what's happened is factory farming 749 00:42:11,440 --> 00:42:14,520 is now locked in to our food system. 750 00:42:14,680 --> 00:42:16,920 The governor of South Dakota says she is trying 751 00:42:17,000 --> 00:42:18,840 to help reopen the pork plant there, 752 00:42:18,920 --> 00:42:21,400 the site of one of America's biggest outbreaks. 753 00:42:21,480 --> 00:42:22,880 More than 800 cases 754 00:42:22,960 --> 00:42:25,400 linked to that plant, many of them immigrants. 755 00:42:25,440 --> 00:42:27,040 Matt Gutman now on the outbreak 756 00:42:27,120 --> 00:42:29,680 and the dilemma many essential workers face. 757 00:42:32,160 --> 00:42:36,560 It's frustrating because the very industries and the practices 758 00:42:36,640 --> 00:42:39,880 that caused this issue are being treated as essential. 759 00:42:41,160 --> 00:42:43,440 The workers are treated as essential workers, 760 00:42:43,520 --> 00:42:45,320 and what that means is that they're 761 00:42:45,600 --> 00:42:49,280 kind of being treated like disposable entities. 762 00:42:50,360 --> 00:42:53,960 And we know that living near these places and working on these places 763 00:42:54,040 --> 00:42:56,360 means you will be disproportionately affected, 764 00:42:56,440 --> 00:43:00,800 not only by COVID-19 but other disease issues and health issues. 765 00:43:02,680 --> 00:43:04,800 We see a wide variety of illnesses 766 00:43:04,920 --> 00:43:07,960 in patients who live and work around factory farms. 767 00:43:11,920 --> 00:43:15,400 One of the things that we notice with factory farms is a decrease 768 00:43:15,480 --> 00:43:19,520 in air quality around them, and it's due to a few factors. 769 00:43:19,720 --> 00:43:23,280 One of them is the risk of aerosolized endotoxins. 770 00:43:23,640 --> 00:43:26,720 Another one is the chemicals that we're seeing, 771 00:43:26,800 --> 00:43:30,400 so the pesticides, but also chemicals like ammonia 772 00:43:30,480 --> 00:43:32,800 from the excrement and things like that. 773 00:43:33,480 --> 00:43:36,320 And finally, we know there's a larger proportion of things 774 00:43:36,400 --> 00:43:38,560 like Gram-negative bacteria or fecal bacteria 775 00:43:38,640 --> 00:43:41,280 that are known to cause illness in humans. 776 00:43:41,560 --> 00:43:43,600 One of my colleagues had a patient 777 00:43:43,720 --> 00:43:46,360 who had a multidrug-resistant urinary tract infection. 778 00:43:46,680 --> 00:43:49,520 Incredibly rare resistance pattern. 779 00:43:49,800 --> 00:43:52,360 No real reason for this patient in particular 780 00:43:52,440 --> 00:43:55,360 to have this type of infection, no risk factors. 781 00:43:55,520 --> 00:43:58,160 Her only risk factor was when you Googled her address, 782 00:43:58,240 --> 00:44:00,480 she lived within a mile of a factory farm. 783 00:44:09,880 --> 00:44:11,960 I'm not a doctor. I'm not a scientist. 784 00:44:12,000 --> 00:44:14,200 But I can tell you this as I'm flying over 785 00:44:14,280 --> 00:44:16,440 those factory farms and I can smell, 786 00:44:16,520 --> 00:44:20,040 sometimes I can smell that hog waste at 2,000 feet in the air, 787 00:44:21,160 --> 00:44:25,960 my common sense tells me that this is a health risk, a health hazard. 788 00:44:26,120 --> 00:44:27,920 We've got about 11 o'clock. 789 00:44:28,880 --> 00:44:31,040 We see a pretty large hog... 790 00:44:31,240 --> 00:44:33,200 Pigs in eastern North Carolina 791 00:44:33,360 --> 00:44:36,520 are producing more fecal waste each and every day, 792 00:44:36,680 --> 00:44:39,920 than is produced by all the people in the states of North Carolina, 793 00:44:40,360 --> 00:44:44,280 California, New York, Texas, 794 00:44:44,880 --> 00:44:47,520 New Hampshire and North Dakota. 795 00:44:48,440 --> 00:44:51,200 And they're putting it in these huge ponds, 796 00:44:51,280 --> 00:44:53,080 the cesspools that they call lagoons. 797 00:44:53,160 --> 00:44:56,000 And when they fill up, they simply dump it on the ground 798 00:44:56,080 --> 00:44:58,160 under the pretext of growing crops. 799 00:44:58,600 --> 00:45:00,960 Runs into our rivers, fish begin to die, 800 00:45:01,000 --> 00:45:02,280 the people get sick. 801 00:45:03,600 --> 00:45:05,640 It's no secret why these farms, 802 00:45:05,720 --> 00:45:07,720 not farms, why these factories are here. 803 00:45:07,960 --> 00:45:08,960 It's money. 804 00:45:09,040 --> 00:45:11,840 It's big money, and it's coming at the expense 805 00:45:11,920 --> 00:45:13,800 of the people who live nearby. 806 00:45:15,280 --> 00:45:17,480 It's the people who work in factory farms, 807 00:45:17,560 --> 00:45:19,720 the people who live near factory farms, 808 00:45:19,800 --> 00:45:22,560 are far more likely to be low income people of color. 809 00:45:23,000 --> 00:45:25,000 This is in part because the industries 810 00:45:25,080 --> 00:45:26,800 have a tendency to preferentially 811 00:45:26,880 --> 00:45:29,640 place their farms in these communities 812 00:45:29,760 --> 00:45:32,440 of disenfranchised populations. 813 00:45:34,560 --> 00:45:37,960 We're being denied clean air, clean water, 814 00:45:38,280 --> 00:45:40,000 and they don't even seem to care. 815 00:45:40,880 --> 00:45:42,880 Majority of all these dirty industries, 816 00:45:42,960 --> 00:45:44,480 CAFOs, whatever, landfills, 817 00:45:44,560 --> 00:45:46,760 they're all located in communities of color. 818 00:45:46,920 --> 00:45:48,800 Latino and Native American communities, 819 00:45:48,880 --> 00:45:50,080 that's where they are. 820 00:45:50,800 --> 00:45:52,440 But the owners are not black. 821 00:45:54,040 --> 00:45:56,440 They're not Latino. They're not Native American. 822 00:45:56,840 --> 00:45:59,040 So why aren't they in their neighborhoods? 823 00:45:59,520 --> 00:46:02,040 We feel like it's intentional 824 00:46:02,320 --> 00:46:04,840 that they site themselves in these communities, 825 00:46:04,920 --> 00:46:09,280 and we call it environmental racism, putting stuff in some place 826 00:46:09,640 --> 00:46:12,000 that you wouldn't put in your own community. 827 00:46:12,160 --> 00:46:13,640 You don't want it near you, 828 00:46:13,720 --> 00:46:17,400 so you just put it over here and put it on people 829 00:46:17,720 --> 00:46:19,840 that you think can't fight back. 830 00:46:21,920 --> 00:46:25,440 Every house along this street, you can count at least one person 831 00:46:25,520 --> 00:46:27,240 in the household that had cancer. 832 00:46:27,840 --> 00:46:31,080 A couple times, I started to go out with my dogs, it smelled so bad 833 00:46:31,200 --> 00:46:33,800 I just didn't even try to go outside and play. 834 00:46:34,280 --> 00:46:37,040 I don't think it's people of color just overlooked here, 835 00:46:37,120 --> 00:46:38,760 they're overlooked everywhere. 836 00:46:38,920 --> 00:46:41,600 They are at least likely to be represented 837 00:46:42,120 --> 00:46:44,680 in any elected position. 838 00:46:45,600 --> 00:46:48,480 And if they eventually do get someone elected 839 00:46:48,560 --> 00:46:50,760 in a position, there aren't enough voices 840 00:46:50,880 --> 00:46:52,320 to actually make a change. 841 00:46:55,080 --> 00:46:58,800 These things is a constant war on black and brown people 842 00:46:58,880 --> 00:47:02,080 in these communities, and we deserve to live free 843 00:47:02,160 --> 00:47:04,360 from this type of constant aggression. 844 00:47:04,800 --> 00:47:08,400 You start to see a trend of the same health problems. 845 00:47:08,560 --> 00:47:10,560 You start to see respiratory issues, 846 00:47:10,600 --> 00:47:13,680 you start to see high blood pressure in children. 847 00:47:14,000 --> 00:47:17,840 When I think of my children, I think that's why I fight so hard, 848 00:47:17,920 --> 00:47:20,320 because I do want my children to live in a world 849 00:47:20,440 --> 00:47:23,880 where they don't have to think about environmental injustices. 850 00:47:24,400 --> 00:47:26,680 People are dying from things they don't have to 851 00:47:26,840 --> 00:47:28,720 just so somebody can make a profit. 852 00:47:46,120 --> 00:47:47,800 Here we got to stay positive. 853 00:47:48,640 --> 00:47:52,520 Evilness, fear and those kinds of things do nothing but destroy you. 854 00:47:55,080 --> 00:47:56,520 We're going to get it done. 855 00:47:56,760 --> 00:47:58,800 We've lost some great people that've worked 856 00:47:58,880 --> 00:48:01,400 on this along the way, but God doesn't intend 857 00:48:01,440 --> 00:48:03,360 for everybody to see the end product. 858 00:48:10,960 --> 00:48:12,920 When it comes to factory farming, 859 00:48:12,960 --> 00:48:14,800 we know we've got all of these issues. 860 00:48:15,960 --> 00:48:18,560 Antimicrobial resistance, infectious disease, 861 00:48:19,400 --> 00:48:20,640 racial injustice. 862 00:48:20,760 --> 00:48:23,560 With all of this coming from factory farms, 863 00:48:23,640 --> 00:48:28,160 does that mean that the solution is switching to free-range 864 00:48:28,240 --> 00:48:31,080 and cage-free and small-scale farms? 865 00:48:32,560 --> 00:48:36,840 In my experience of smaller farms, they're not really what I think 866 00:48:36,920 --> 00:48:38,640 people imagine when they say, 867 00:48:38,720 --> 00:48:41,320 "I only buy from a small family farm." 868 00:48:42,320 --> 00:48:43,200 Some of the worst 869 00:48:43,280 --> 00:48:46,000 disease concoctions I've seen have been on small farms 870 00:48:46,120 --> 00:48:48,040 because they don't have the income 871 00:48:48,120 --> 00:48:51,360 to afford comprehensive diagnostic testing, 872 00:48:51,720 --> 00:48:53,880 perhaps preventative health care. 873 00:48:55,080 --> 00:48:56,880 Part of the reason African Swine Fever 874 00:48:56,960 --> 00:48:58,760 has ripped through China like it has 875 00:48:58,920 --> 00:49:02,080 is because there were so many backyard farmers. 876 00:49:02,160 --> 00:49:06,760 So in terms of disease surveillance and knowing what's going on 877 00:49:06,840 --> 00:49:09,720 within an animal population, it's almost impossible 878 00:49:10,240 --> 00:49:14,000 to regulate huge numbers of small farms, 879 00:49:14,200 --> 00:49:15,720 and also deeply impractical. 880 00:49:15,840 --> 00:49:17,880 If people do want free-range meat, 881 00:49:17,960 --> 00:49:20,440 we'd have to have about twelve planets. 882 00:49:22,680 --> 00:49:26,280 Clearing land for livestock grazing and feed cropping 883 00:49:26,560 --> 00:49:29,840 is the number one driver of deforestation worldwide. 884 00:49:30,240 --> 00:49:32,440 Feeding the current demand for animal products 885 00:49:32,520 --> 00:49:36,520 with many smaller farms would increase that land use. 886 00:49:41,680 --> 00:49:43,920 So whether we factory farm animals 887 00:49:44,000 --> 00:49:47,440 or raise them in small farms, it's not sustainable. 888 00:49:48,000 --> 00:49:50,000 If you look at the numbers, right, 889 00:49:50,080 --> 00:49:52,640 human population is about 7.8 billion 890 00:49:53,080 --> 00:49:55,960 and the population of animals that we kill 891 00:49:56,040 --> 00:49:57,440 is about 80 billion a year, 892 00:49:57,600 --> 00:49:59,760 meaning the Earth isn't just supporting us, 893 00:49:59,840 --> 00:50:02,400 she's also supporting the animals we raise for food. 894 00:50:02,920 --> 00:50:06,000 And our animals eat 7.3 billion tons of food. 895 00:50:06,160 --> 00:50:09,920 So you deforest land to feed our animals, to feed us. 896 00:50:10,480 --> 00:50:12,800 So animal exploitation is the number one reason 897 00:50:12,880 --> 00:50:14,840 we are in an unsustainable situation. 898 00:50:16,080 --> 00:50:18,520 So when we say we go back to small-scale farming, 899 00:50:18,600 --> 00:50:21,000 we are basically saying the problem is not 900 00:50:21,120 --> 00:50:22,280 we eat animal foods, 901 00:50:22,440 --> 00:50:24,760 the problem is that the riffraff eat animal foods. 902 00:50:25,920 --> 00:50:28,680 If you make poor people stop eating animals, there's plenty 903 00:50:28,800 --> 00:50:30,400 for the rich to eat animal foods. 904 00:50:31,040 --> 00:50:35,520 So it's a very classist, colonialist argument to make. 905 00:50:36,240 --> 00:50:40,400 And I am just shocked that anyone would make it in this day and age. 906 00:50:46,000 --> 00:50:50,760 We cannot feed the whole world the same diet we're eating 907 00:50:51,520 --> 00:50:52,640 at the moment. 908 00:50:53,000 --> 00:50:57,000 If we do carry on we're not going to have a planet left. 909 00:50:57,480 --> 00:51:02,040 For instance, in this country, we use about a million hectares 910 00:51:02,240 --> 00:51:05,120 of South American rainforest to feed our livestock. 911 00:51:05,200 --> 00:51:07,560 So that's someone else's land. 912 00:51:08,280 --> 00:51:11,320 And that's just the UK. 913 00:51:12,240 --> 00:51:15,000 You're feeding those animals resources 914 00:51:15,240 --> 00:51:17,280 that can be fed directly to people. 915 00:51:18,560 --> 00:51:19,920 My concern is 916 00:51:20,080 --> 00:51:22,760 with the desire to keep making meat, 917 00:51:23,880 --> 00:51:26,120 where is the land going to come from? 918 00:51:27,840 --> 00:51:31,680 Globally, we're very concerned about deforestation at the moment. 919 00:51:31,720 --> 00:51:33,320 There's a lot of emphasis on 920 00:51:33,480 --> 00:51:36,440 retaining our forest land to combat climate change. 921 00:51:37,000 --> 00:51:38,560 And looking at the Amazon, 922 00:51:38,960 --> 00:51:41,000 vast swathes are cleared for cattle grazing 923 00:51:41,080 --> 00:51:42,840 and for livestock feed growing. 924 00:51:43,320 --> 00:51:45,880 But when you look out at countryside like this, 925 00:51:46,320 --> 00:51:49,920 we've already done it here, like most of Britain's forest land 926 00:51:50,000 --> 00:51:53,160 has been cleared already for agriculture, and that's reflective. 927 00:51:53,600 --> 00:51:54,880 across the globe. 928 00:51:58,680 --> 00:52:00,280 Biodiversity itself 929 00:52:01,080 --> 00:52:05,520 is a protective mechanism against the emergence of zoonotic diseases. 930 00:52:07,080 --> 00:52:11,840 The more biodiversity you have generally, the less likely there is 931 00:52:11,920 --> 00:52:16,080 to be a zoonotic emergence because the diversity of life, 932 00:52:16,160 --> 00:52:19,680 the mosaic of species, prevents any one pathogen 933 00:52:19,760 --> 00:52:22,640 from building up in large amounts. 934 00:52:22,800 --> 00:52:25,440 So as we reduce biodiversity, 935 00:52:25,600 --> 00:52:28,560 we increase the chances of zoonotic emergence. 936 00:52:29,240 --> 00:52:32,840 So it's a lose-lose situation for the human race 937 00:52:32,920 --> 00:52:35,120 if we're going to continue down this road. 938 00:52:37,720 --> 00:52:39,840 And I'm happy to say that you're going to see 939 00:52:39,880 --> 00:52:42,880 the first shot done right here, right now. 940 00:52:43,080 --> 00:52:44,440 In the current pandemic, 941 00:52:44,680 --> 00:52:48,400 we're at a place where we are now looking for answers, 942 00:52:48,680 --> 00:52:52,800 vaccines, treatments, how to get people off ventilators, 943 00:52:52,880 --> 00:52:53,960 on ventilators. 944 00:52:54,720 --> 00:52:56,520 I still think we're missing the point. 945 00:52:57,440 --> 00:53:00,960 90% of the people who have died from COVID-19 946 00:53:01,040 --> 00:53:03,280 have had at least one underlying disease. 947 00:53:03,400 --> 00:53:06,600 That's a lifestyle illness, diabetes, high blood pressure. 948 00:53:07,000 --> 00:53:10,760 So rather than just mopping up with drugs and treatment, 949 00:53:11,040 --> 00:53:13,560 why don't we get to the fundamental root cause? 950 00:53:15,280 --> 00:53:17,120 We know that animal products, 951 00:53:17,200 --> 00:53:20,040 again, not just meat, but dairy, fish, eggs, 952 00:53:20,160 --> 00:53:23,840 all of these have been linked to increased rates of heart disease, 953 00:53:24,000 --> 00:53:28,760 type 2 diabetes, stroke, Alzheimer's, some forms of cancer. 954 00:53:29,600 --> 00:53:34,160 COVID-19 did not create the crisis of chronic diseases. 955 00:53:34,600 --> 00:53:36,880 For far too long, we have been attempting 956 00:53:37,000 --> 00:53:41,240 to push these diseases under the proverbial rug. 957 00:53:41,560 --> 00:53:45,080 But COVID-19 sort of forced us to move that rug 958 00:53:45,120 --> 00:53:46,640 and show what's under there. 959 00:53:46,800 --> 00:53:48,240 And the chronic diseases 960 00:53:48,400 --> 00:53:52,440 affect the deaths and hospitalizations of COVID-19. 961 00:53:53,840 --> 00:53:57,400 Our top killers are mostly lifestyle-related, 962 00:53:57,480 --> 00:54:00,400 and much of that is related to the consumption 963 00:54:00,480 --> 00:54:05,760 of saturated fat, animal protein and of course, these animal products. 964 00:54:05,920 --> 00:54:07,960 I feel like my career 965 00:54:08,280 --> 00:54:11,800 is dedicated to cleaning up the mess 966 00:54:12,080 --> 00:54:15,200 that factory farming and animal agriculture 967 00:54:15,280 --> 00:54:18,320 is causing with these major public health problems. 968 00:54:18,920 --> 00:54:21,560 If we think that there may be tens of thousands 969 00:54:21,600 --> 00:54:24,400 of potential COVID-19-like viruses out there, 970 00:54:24,520 --> 00:54:26,040 that given the opportunity, 971 00:54:26,280 --> 00:54:29,080 could cause an epidemic or pandemic in people, 972 00:54:29,240 --> 00:54:32,040 we can't go out and develop vaccines 973 00:54:32,120 --> 00:54:34,240 to all of those tens of thousands of viruses 974 00:54:34,400 --> 00:54:36,920 and treatments for every one of them and so on. 975 00:54:37,240 --> 00:54:40,800 We have to have general principles we can learn from, 976 00:54:40,840 --> 00:54:43,560 such as what are the risk behaviors? 977 00:54:50,640 --> 00:54:54,320 I feel bad. I've got a great grandson being born 978 00:54:54,400 --> 00:54:56,080 as I'm talking to you right now, 979 00:54:56,160 --> 00:54:58,480 my granddaughter is in the hospital giving birth. 980 00:54:59,400 --> 00:55:03,520 And I don't think that that boy Parker 981 00:55:03,680 --> 00:55:06,360 is going to have much of a life. 982 00:55:06,880 --> 00:55:08,520 There's no guarantee 983 00:55:08,640 --> 00:55:12,680 that we're going to be able as humans to live from this planet forever. 984 00:55:13,040 --> 00:55:16,320 And then the way we're going, personally, I don't think we will. 985 00:55:16,840 --> 00:55:18,840 There's enough left for me in my lifetime. 986 00:55:18,920 --> 00:55:19,960 There's enough left. 987 00:55:20,040 --> 00:55:22,560 And there's enough left for my daughter and my son. 988 00:55:22,720 --> 00:55:25,440 But is there enough left for my granddaughter Amy, 989 00:55:25,520 --> 00:55:27,840 and for Parker, who's coming in this world today? 990 00:55:28,440 --> 00:55:29,480 I don't think so. 991 00:55:50,120 --> 00:55:53,760 It's very hard to communicate the scale of what we're facing. 992 00:55:54,400 --> 00:55:57,440 But I'm going to try and speak into my own experiences 993 00:55:57,520 --> 00:56:02,000 of direct involvement in practices which are not only drawing us 994 00:56:02,080 --> 00:56:06,640 closer to the climate emergency, but are creating human pandemics, 995 00:56:06,760 --> 00:56:11,960 global health crises, and bringing us ever closer to a man-made disaster. 996 00:56:14,840 --> 00:56:18,800 Here, are you surprised by the amount of comments you've got online? 997 00:56:20,800 --> 00:56:22,080 Not especially. 998 00:56:22,160 --> 00:56:23,680 It was never going to be good, 999 00:56:24,600 --> 00:56:29,560 coming out of a multi-billion pound industry 1000 00:56:30,080 --> 00:56:34,760 and completely sort of denouncing all their practices. 1001 00:56:36,000 --> 00:56:39,000 As a vet that's done a particular job for 4 years, 1002 00:56:39,080 --> 00:56:42,440 if I'm saying, "I did this, and this is what happened," 1003 00:56:43,000 --> 00:56:44,400 like I'm not making that up. 1004 00:56:44,680 --> 00:56:46,520 I think it's quite frustrating. 1005 00:56:48,000 --> 00:56:49,960 It would have been very easy to stay 1006 00:56:50,560 --> 00:56:54,760 in a relatively well-paid job, getting flown around the world, 1007 00:56:54,840 --> 00:56:58,440 wined and dined by pharmaceutical companies, like doing a secure job, 1008 00:57:00,560 --> 00:57:01,920 and just carried on. 1009 00:57:02,720 --> 00:57:04,960 But I didn't feel it was the right thing to do. 1010 00:57:06,520 --> 00:57:09,560 So how are you making money? 1011 00:57:09,600 --> 00:57:11,320 You don't have to talk about this. 1012 00:57:11,400 --> 00:57:13,560 - How are you making... - Not. 1013 00:57:14,040 --> 00:57:15,400 Basically, I'm not. 1014 00:57:15,560 --> 00:57:17,600 I'm doing this because I feel I need to. 1015 00:57:17,680 --> 00:57:20,760 I don't quite know how to work it out financially, but... 1016 00:57:22,160 --> 00:57:23,160 Yeah. 1017 00:57:23,800 --> 00:57:25,360 What will you do, 1018 00:57:25,480 --> 00:57:28,520 or is there a plan of how to eventually make money? 1019 00:57:30,240 --> 00:57:31,960 No, I think... 1020 00:57:34,640 --> 00:57:35,920 I don't know. 1021 00:57:53,480 --> 00:57:55,520 So what would your solution be? 1022 00:57:56,320 --> 00:57:57,440 Gosh. 1023 00:57:59,240 --> 00:58:00,880 I'll try not to get too political. 1024 00:58:02,400 --> 00:58:04,080 Can I just say we should be vegan? 1025 00:58:06,240 --> 00:58:08,400 Solve the problem straight off. 1026 00:58:09,080 --> 00:58:12,040 If everybody on the planet was vegan, we could release, 1027 00:58:12,400 --> 00:58:15,920 well billions of hectares of land for wildlife basically, 1028 00:58:16,000 --> 00:58:17,960 because we wouldn't need that land 1029 00:58:18,040 --> 00:58:21,280 to grow food to feed animals to feed us 1030 00:58:21,360 --> 00:58:25,160 because that's the most inefficient way of growing food. 1031 00:58:25,320 --> 00:58:28,440 If we just ate what we grew, then there would be 1032 00:58:28,520 --> 00:58:30,520 plentiful supplies of food on the planet, 1033 00:58:30,640 --> 00:58:34,320 not just for the eight billion people that we are racing towards now, 1034 00:58:34,560 --> 00:58:37,720 but for many, many billions more. 1035 00:58:38,160 --> 00:58:40,760 This planet could be much more sustainable 1036 00:58:40,840 --> 00:58:43,720 if we didn't eat meat and we didn't eat animal products. 1037 00:58:43,920 --> 00:58:45,800 It's contentious to say that, 1038 00:58:46,120 --> 00:58:48,160 but that's where the science tells us 1039 00:58:48,240 --> 00:58:50,160 we have to go if we're going to survive 1040 00:58:50,240 --> 00:58:52,160 on this planet as a human race. 1041 00:58:53,960 --> 00:58:57,920 We've been here on this farm now for 33 years. 1042 00:58:58,000 --> 00:59:01,200 I've been farming organically for over 45. 1043 00:59:01,520 --> 00:59:04,960 We grow a whole range of vegetables and some fruit. 1044 00:59:05,160 --> 00:59:08,240 Everything's grown without the use of any animal inputs. 1045 00:59:08,320 --> 00:59:11,240 So we don't use animal manure, any slaughterhouse waste 1046 00:59:11,320 --> 00:59:13,320 or any products from animals whatsoever. 1047 00:59:13,800 --> 00:59:16,680 We're using just the land we have for our production. 1048 00:59:16,840 --> 00:59:19,680 We get very good yields, we get very high quality produce. 1049 00:59:20,680 --> 00:59:22,360 So what would you say to somebody 1050 00:59:22,440 --> 00:59:25,200 who said there's no way of feeding everybody 1051 00:59:25,280 --> 00:59:27,400 without using animal inputs? 1052 00:59:28,360 --> 00:59:31,680 Well, that again is something we've proved to be completely wrong. 1053 00:59:31,760 --> 00:59:35,480 I mean, our production is actually per acre 1054 00:59:35,520 --> 00:59:38,000 far higher than most other farms would be. 1055 00:59:38,160 --> 00:59:40,040 We don't depend on somebody else's land 1056 00:59:40,120 --> 00:59:41,240 to support that potato. 1057 00:59:41,280 --> 00:59:43,680 So actually our production is very much higher. 1058 00:59:43,920 --> 00:59:46,000 Our footprint compared with a farm 1059 00:59:46,080 --> 00:59:48,560 producing livestock is incredibly tiny. 1060 00:59:48,720 --> 00:59:51,280 So the question really should be 1061 00:59:51,600 --> 00:59:54,400 can we afford not to farm in this way 1062 00:59:54,480 --> 00:59:56,160 rather than can we afford to? 1063 00:59:56,240 --> 00:59:59,440 Because this is a much more productive way of producing food. 1064 01:00:00,480 --> 01:00:03,360 We do need to take back control of our health. 1065 01:00:04,480 --> 01:00:06,440 The good news is that this is possible. 1066 01:00:07,200 --> 01:00:08,960 I have a plant-based diet, 1067 01:00:09,040 --> 01:00:11,960 and I have that because it's the healthiest diet to have. 1068 01:00:12,400 --> 01:00:16,600 Most studies will tell us that by having a totally plant-based diet, 1069 01:00:16,680 --> 01:00:19,680 low in fat, low in sugar, reduced amount of salt, 1070 01:00:19,920 --> 01:00:22,560 it indicates you have a healthier lifestyle. 1071 01:00:22,880 --> 01:00:25,120 Your diet becomes more nutrient-dense 1072 01:00:25,200 --> 01:00:26,640 rather than calorie-dense, 1073 01:00:26,800 --> 01:00:28,680 and that is good for everybody. 1074 01:00:29,200 --> 01:00:31,400 This will not be the last pandemic. 1075 01:00:32,520 --> 01:00:37,200 I believe that if we take this seriously and get to the root cause, 1076 01:00:37,640 --> 01:00:41,640 we have a chance of really staving off so many illnesses in the future. 1077 01:00:43,920 --> 01:00:46,240 We tell our children, you have to eat meat, 1078 01:00:46,400 --> 01:00:49,960 or you won't get enough protein, which is an outright lie. 1079 01:00:50,800 --> 01:00:54,160 We tell them you have to drink milk or you won't get enough calcium. 1080 01:00:54,400 --> 01:00:55,920 This is an outright lie. 1081 01:00:56,480 --> 01:00:58,560 So when we build an entire civilization 1082 01:00:58,640 --> 01:01:00,280 on lies, it is unsustainable, 1083 01:01:00,840 --> 01:01:02,920 because sustainability is about 1084 01:01:03,000 --> 01:01:04,960 getting into alignment with the truth. 1085 01:01:05,760 --> 01:01:08,160 All that is true is sustainable. 1086 01:01:08,800 --> 01:01:10,280 Lies are not sustainable. 1087 01:01:12,880 --> 01:01:15,960 One of my mentors, Archbishop Desmond Tutu, 1088 01:01:16,400 --> 01:01:20,680 stated that we spend a lifetime pulling people out of the river. 1089 01:01:20,760 --> 01:01:24,760 No one goes upstream to prevent them from falling in in the first place. 1090 01:01:25,080 --> 01:01:27,240 Right now, we're dealing with sick care 1091 01:01:27,400 --> 01:01:28,840 instead of health care. 1092 01:01:29,080 --> 01:01:30,400 If we go upstream 1093 01:01:30,480 --> 01:01:33,360 and teach young people about healthy foods 1094 01:01:33,440 --> 01:01:35,440 and how to consume them, how to grow them, 1095 01:01:35,520 --> 01:01:38,320 if we switch from waiting for people to get ill, 1096 01:01:38,400 --> 01:01:40,840 and go to preventing them from getting ill, 1097 01:01:41,480 --> 01:01:45,600 if we go upstream, by doing so, we'll live a more healthy lifestyle. 1098 01:01:45,680 --> 01:01:47,240 It's not about living forever. 1099 01:01:47,320 --> 01:01:50,400 It's about having the quality of life while you are alive. 1100 01:01:52,360 --> 01:01:54,080 We can't wait for our governments 1101 01:01:54,160 --> 01:01:56,080 to do the right thing because I guarantee 1102 01:01:56,200 --> 01:01:59,240 we are going to be waiting for a long, long time. 1103 01:01:59,400 --> 01:02:02,000 So what each of us can do in the meantime 1104 01:02:02,080 --> 01:02:04,280 is really take a hard look at what we eat. 1105 01:02:05,680 --> 01:02:08,160 Ultimately, what's good for animals is good for us. 1106 01:02:08,480 --> 01:02:12,280 When we treat animals with kindness and respect, we also benefit. 1107 01:02:12,760 --> 01:02:14,480 There is just no downside 1108 01:02:15,000 --> 01:02:18,480 to having this increased empathy and to treating animals better. 1109 01:02:18,560 --> 01:02:20,360 There is no downside to that. 1110 01:02:20,520 --> 01:02:21,960 There's only upsides to that. 1111 01:02:22,080 --> 01:02:25,320 There's only benefits, not only for the animals, but also for us. 1112 01:02:26,360 --> 01:02:29,560 Despite everything I just talked about with you today, 1113 01:02:29,680 --> 01:02:32,240 I actually am optimistic about the future, 1114 01:02:32,320 --> 01:02:35,520 and maybe it's a bit of a Pollyannaish attitude. 1115 01:02:35,600 --> 01:02:37,600 I don't know. Or maybe I'm just a sucker, 1116 01:02:37,680 --> 01:02:40,560 but I am optimistic because I do believe 1117 01:02:40,640 --> 01:02:45,000 that empathy is an integral part of who we are as a species 1118 01:02:45,200 --> 01:02:47,160 and that that will continue to grow. 1119 01:02:47,440 --> 01:02:50,640 And with that recognition, I do believe that our behaviors 1120 01:02:50,720 --> 01:02:52,160 will change for the better. 1121 01:02:54,280 --> 01:02:56,680 We know that our use of animals 1122 01:02:56,880 --> 01:03:01,120 undeniably contributes to the climate and ecological emergency. 1123 01:03:01,280 --> 01:03:05,920 It's undeniably inhumane for animals and for people. 1124 01:03:06,360 --> 01:03:08,240 We know we'll see the end of medicine 1125 01:03:08,320 --> 01:03:10,160 as we know it within our lifetimes 1126 01:03:10,240 --> 01:03:13,240 if we don't all take responsibility to change. 1127 01:03:16,480 --> 01:03:17,920 I mean, it was awful. 1128 01:03:18,200 --> 01:03:23,880 It was really, really horrible stuff going on and really horrible things 1129 01:03:23,960 --> 01:03:25,920 that I had to be involved in. 1130 01:03:27,600 --> 01:03:29,760 And I think perhaps if I hadn't 1131 01:03:30,000 --> 01:03:31,440 gone on and shared that 1132 01:03:31,520 --> 01:03:33,600 hoping I can make some positive change, 1133 01:03:33,640 --> 01:03:36,680 then it would just be carried with me the rest of my life. 1134 01:03:38,800 --> 01:03:42,080 Everything will stay the same if nobody speaks out. 1135 01:03:46,440 --> 01:03:50,640 Change is inevitable, but transformation is intentional. 1136 01:03:51,600 --> 01:03:53,640 Transformation is something we choose to do 1137 01:03:53,800 --> 01:03:56,160 because we are uncomfortable with the status quo. 1138 01:03:57,040 --> 01:03:59,240 And we say we can do something about this. 1139 01:03:59,560 --> 01:04:01,240 We can make this change happen. 1140 01:04:02,320 --> 01:04:05,120 So getting to a sustainable civilization 1141 01:04:05,240 --> 01:04:08,040 is getting to a civilization aligned with the truth, 1142 01:04:08,840 --> 01:04:10,800 that is aligned with morality. 1143 01:04:12,120 --> 01:04:13,760 We have to transform ourselves 1144 01:04:14,160 --> 01:04:15,880 if we want to transform the world. 1145 01:06:46,440 --> 01:06:49,680 I meant to say, I don't know if this is what you were asking, 1146 01:06:49,760 --> 01:06:52,280 but when you were asking what worries me day to day, 1147 01:06:52,400 --> 01:06:54,480 I meant to say that currently, 1148 01:06:54,840 --> 01:06:59,040 our complete lack of faith in science is worrying me. 1149 01:06:59,720 --> 01:07:01,280 Okay, so I'll add that. 90784

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