1 00:00:03,080 --> 00:00:11,000 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. This story starts with 2 00:00:11,080 --> 00:00:14,720 Speaker 1: a young girl in India, barely a teenager who loves 3 00:00:14,760 --> 00:00:17,520 Speaker 1: doing hair and makeup and helping her mom put on 4 00:00:17,560 --> 00:00:20,919 Speaker 1: her sorry. When she grows up, she'd like to become 5 00:00:21,000 --> 00:00:24,439 Speaker 1: a beautician. And in twenty twenty three, she wanted what 6 00:00:24,640 --> 00:00:28,360 Speaker 1: so many teens around the world want? A smartphone? 7 00:00:28,600 --> 00:00:29,240 Speaker 2: And was your phone? 8 00:00:29,280 --> 00:00:35,919 Speaker 1: Tevinaga lifeks. The girl says that like everyone in her generation, 9 00:00:36,240 --> 00:00:39,440 Speaker 1: she loves using phones. She'd asked her mom for one, 10 00:00:39,600 --> 00:00:43,040 Speaker 1: but her mom said the family couldn't afford it. Then 11 00:00:43,280 --> 00:00:46,040 Speaker 1: she heard about a way she could make the money herself. 12 00:00:46,720 --> 00:00:49,280 Speaker 1: And because of what it involved and for reasons that 13 00:00:49,320 --> 00:00:52,159 Speaker 1: will soon become clear, the girl and her family have 14 00:00:52,240 --> 00:00:55,760 Speaker 1: asked that we not use her name. The idea came 15 00:00:55,880 --> 00:00:57,960 Speaker 1: from someone she trusted, Whoo. 16 00:00:57,840 --> 00:00:58,480 Speaker 2: Mirida di. 17 00:01:00,160 --> 00:01:08,880 Speaker 1: Zethik Miran Dadikata made moh lek dekichachi le Titi Chachi 18 00:01:09,040 --> 00:01:12,240 Speaker 1: means aunt in Hindi. It's what the girl called her 19 00:01:12,280 --> 00:01:16,080 Speaker 1: grandmother's neighbor. The woman's name is Sema. We're not using 20 00:01:16,120 --> 00:01:18,559 Speaker 1: her last name because it could help identify the girl, 21 00:01:19,120 --> 00:01:21,520 Speaker 1: and Sima knew away the girl could get the money 22 00:01:21,600 --> 00:01:23,840 Speaker 1: for a phone, but if she went through with it, 23 00:01:24,440 --> 00:01:25,920 Speaker 1: she wasn't allowed to tell her mom. 24 00:01:27,360 --> 00:01:31,720 Speaker 3: The girl said that Sema didn't really explain what it was. 25 00:01:32,080 --> 00:01:34,520 Speaker 3: She has said herself, you know, I'm a kid like 26 00:01:34,640 --> 00:01:37,320 Speaker 3: I didn't really understand what was being done to me 27 00:01:37,440 --> 00:01:38,560 Speaker 3: or what was going to happen to me. 28 00:01:39,120 --> 00:01:42,960 Speaker 1: That's Natalie Obiko Pearson. She's an investigative reporter for Bloomberg 29 00:01:43,080 --> 00:01:44,800 Speaker 1: who was based in India for many years. 30 00:01:45,160 --> 00:01:47,400 Speaker 3: Sema just told her this is how you can make 31 00:01:47,480 --> 00:01:50,120 Speaker 3: fifteen thousand rupees really quick, and so she was like, okay, 32 00:01:50,200 --> 00:01:51,040 Speaker 3: I'll go along with it. 33 00:01:51,320 --> 00:01:54,640 Speaker 1: Fifteen thousand rupees is about one hundred and eighty US dollars. 34 00:01:54,960 --> 00:01:57,320 Speaker 3: It might be more than what her mother makes in 35 00:01:57,360 --> 00:02:00,880 Speaker 3: a month, so it's it's a lot of money in 36 00:02:01,280 --> 00:02:03,840 Speaker 3: her world. But again, she had no idea what she 37 00:02:03,960 --> 00:02:06,600 Speaker 3: was getting into. All she wanted was a phone, and 38 00:02:06,720 --> 00:02:10,600 Speaker 3: it ended up having these consequences that she never could 39 00:02:10,639 --> 00:02:11,360 Speaker 3: have imagined. 40 00:02:12,880 --> 00:02:18,120 Speaker 1: She'd agreed to sell her ex In doing so, she 41 00:02:18,320 --> 00:02:20,919 Speaker 1: was pulled into a global industry that's boomed in the 42 00:02:21,000 --> 00:02:23,840 Speaker 1: last twenty years, especially within India. 43 00:02:24,280 --> 00:02:28,440 Speaker 3: Fertility is a big business everywhere, but especially in India 44 00:02:28,600 --> 00:02:31,160 Speaker 3: just because of the size of the market there and 45 00:02:31,880 --> 00:02:35,160 Speaker 3: global money has been pouring into that market. And there 46 00:02:35,200 --> 00:02:37,160 Speaker 3: are parts of India where you would walk along a 47 00:02:37,240 --> 00:02:40,040 Speaker 3: single street and there would be like four or five 48 00:02:40,360 --> 00:02:43,960 Speaker 3: fertility clinics there that had cropped up within the span 49 00:02:44,240 --> 00:02:47,720 Speaker 3: of a few years. The analogy that everybody use is 50 00:02:47,800 --> 00:02:50,480 Speaker 3: like they were like mushrooms. Once they began to grow, 51 00:02:50,560 --> 00:02:52,880 Speaker 3: they just began cropping up everywhere. 52 00:02:55,919 --> 00:02:59,000 Speaker 1: Today on the show The Human Egg Trade, a special 53 00:02:59,120 --> 00:03:02,560 Speaker 1: series from Bloomberg's investigations team, and The Big Take podcast. 54 00:03:03,800 --> 00:03:07,440 Speaker 1: While IVF or in vitro fertilization has been around since 55 00:03:07,480 --> 00:03:11,600 Speaker 1: the nineteen seventies, early success rates were low, but over 56 00:03:11,639 --> 00:03:16,400 Speaker 1: the last two decades, advancements in technology and funding from 57 00:03:16,440 --> 00:03:19,760 Speaker 1: the biggest investment banks and private equity firms have made 58 00:03:19,800 --> 00:03:24,200 Speaker 1: it possible for the fertility industry to flourish. Now, a 59 00:03:24,360 --> 00:03:27,560 Speaker 1: batch of human eggs is extracted from a woman somewhere 60 00:03:27,600 --> 00:03:32,000 Speaker 1: on the planet roughly every fifteen seconds. Most are from 61 00:03:32,040 --> 00:03:35,160 Speaker 1: women who plan to use those eggs themselves, but at 62 00:03:35,240 --> 00:03:38,600 Speaker 1: least six percent come from women who donate their eggs. 63 00:03:39,440 --> 00:03:44,040 Speaker 1: That's the fertility industry's term donate, though in reality many 64 00:03:44,120 --> 00:03:48,360 Speaker 1: of these women are paid. Bloomberg reporters across the globe 65 00:03:48,400 --> 00:03:51,160 Speaker 1: have spent the last year trying to understand this new 66 00:03:51,520 --> 00:03:55,720 Speaker 1: booming market for human eggs. The stories they found shed 67 00:03:55,840 --> 00:03:58,600 Speaker 1: light on a supply chain where the prize commodity is 68 00:03:58,680 --> 00:04:02,960 Speaker 1: harvested not from f yields, fisheries or mines, but from 69 00:04:03,000 --> 00:04:06,800 Speaker 1: the bodies of women and even girls. It's a global 70 00:04:06,920 --> 00:04:09,760 Speaker 1: and opaque market where a demand is so great that 71 00:04:09,960 --> 00:04:13,840 Speaker 1: even where regulations are in place, there are powerful incentives 72 00:04:13,880 --> 00:04:16,920 Speaker 1: to evade them. That's been the case in India, where 73 00:04:16,960 --> 00:04:20,000 Speaker 1: our series starts, and where the story of One Girl 74 00:04:20,200 --> 00:04:22,640 Speaker 1: shows how far some people will go to get a 75 00:04:22,720 --> 00:04:26,520 Speaker 1: cut of this trade, even if it means exploiting a child. 76 00:04:27,520 --> 00:04:35,960 Speaker 1: Our story starts after the break. Bloomberg's Natalie Obiko Pearson 77 00:04:36,160 --> 00:04:38,960 Speaker 1: says there are few reasons why India is seen as 78 00:04:39,000 --> 00:04:41,480 Speaker 1: the de facto capital of the fertility industry. 79 00:04:41,800 --> 00:04:44,680 Speaker 3: One is because the sheer size of the population makes 80 00:04:44,720 --> 00:04:47,880 Speaker 3: the global IVF market there extremely large. 81 00:04:48,240 --> 00:04:50,120 Speaker 1: The other reason is cultural. 82 00:04:50,320 --> 00:04:55,240 Speaker 3: There's an incredible amount of pressure on women to give 83 00:04:55,320 --> 00:04:57,359 Speaker 3: birth in India, like as soon as you get married, 84 00:04:57,440 --> 00:04:59,200 Speaker 3: the pressure begins of like when are you going to 85 00:04:59,240 --> 00:05:01,440 Speaker 3: get pregnant when and to bring us a sun and 86 00:05:01,680 --> 00:05:05,000 Speaker 3: that drives the egg donation market because couples there are 87 00:05:05,080 --> 00:05:07,680 Speaker 3: often willing to maybe just try like one cycle of 88 00:05:07,760 --> 00:05:10,320 Speaker 3: IVF and then if they don't get pregnant, will immediately 89 00:05:10,400 --> 00:05:13,160 Speaker 3: opt for a donor egg. And it was such a 90 00:05:13,279 --> 00:05:16,880 Speaker 3: striking phenomenon that a couple IVF doctors actually said it 91 00:05:17,120 --> 00:05:17,960 Speaker 3: took them by surprise. 92 00:05:18,000 --> 00:05:18,360 Speaker 1: At first. 93 00:05:18,360 --> 00:05:20,800 Speaker 3: They would have thought that people would have opted to 94 00:05:20,880 --> 00:05:22,960 Speaker 3: go for a few more cycles, you know, wanting their 95 00:05:23,040 --> 00:05:25,280 Speaker 3: children to have their own genetic makeup. But they were like, no, 96 00:05:25,480 --> 00:05:28,440 Speaker 3: the pressure and the expense was so much that they 97 00:05:28,480 --> 00:05:30,360 Speaker 3: were like, let's just go to donation straight away. 98 00:05:30,720 --> 00:05:33,600 Speaker 1: In other words, a couple might bet that buying another 99 00:05:33,680 --> 00:05:36,120 Speaker 1: woman's eggs could give them a quicker path to a 100 00:05:36,160 --> 00:05:41,040 Speaker 1: successful pregnancy. Natalie says fertility clinics in India serve a 101 00:05:41,120 --> 00:05:44,240 Speaker 1: wide range of customers, people from all parts of the country, 102 00:05:44,440 --> 00:05:47,000 Speaker 1: all around the world, and from all walks of life. 103 00:05:48,000 --> 00:05:51,560 Speaker 1: But she says the typical donor has a much narrower profile. 104 00:05:52,000 --> 00:05:55,400 Speaker 3: It's less privileged women coming from marginalized communities. I mean, 105 00:05:55,440 --> 00:05:58,480 Speaker 3: if you just think about the actual procedure of an 106 00:05:58,520 --> 00:06:03,279 Speaker 3: egg donation. It's an incre invasive procedure. It requires days 107 00:06:03,320 --> 00:06:06,880 Speaker 3: of hormones. You have to go under general anesthesia to 108 00:06:06,960 --> 00:06:09,920 Speaker 3: have the eggs extracted. So what person is going to 109 00:06:10,000 --> 00:06:13,680 Speaker 3: do that? Completely altruistically right, Like, the people who are 110 00:06:13,720 --> 00:06:15,880 Speaker 3: doing it are usually doing it because they need money, 111 00:06:16,440 --> 00:06:18,800 Speaker 3: and so that means that most of the donors are 112 00:06:18,839 --> 00:06:21,440 Speaker 3: coming from poorer neighborhoods. 113 00:06:21,200 --> 00:06:26,440 Speaker 1: And more vulnerable backgrounds. In twenty twenty one, after sixteen years, 114 00:06:26,600 --> 00:06:30,960 Speaker 1: eight drafts and three parliamentary studies, Indian lawmakers passed the 115 00:06:31,040 --> 00:06:35,839 Speaker 1: country's first regulations regarding egg donations. The new law created 116 00:06:35,960 --> 00:06:39,720 Speaker 1: a national registry of fertility clinics. It also made it 117 00:06:39,800 --> 00:06:43,000 Speaker 1: illegal to sell eggs, though the industry still manages to 118 00:06:43,080 --> 00:06:46,800 Speaker 1: pay donors by compensating for related costs like their time 119 00:06:46,960 --> 00:06:50,920 Speaker 1: and travel, and it also made it illegal for anyone 120 00:06:51,080 --> 00:06:53,240 Speaker 1: under twenty three years old to donate. 121 00:06:53,640 --> 00:06:57,560 Speaker 3: Anecdotally, you hear that egg donations dropped off quite a 122 00:06:57,640 --> 00:07:00,440 Speaker 3: bit after the law came in, just because a lot 123 00:07:00,480 --> 00:07:01,920 Speaker 3: of people didn't want to be on the wrong side 124 00:07:01,920 --> 00:07:05,120 Speaker 3: of the law, and maybe it got more difficult source donors. 125 00:07:04,960 --> 00:07:09,040 Speaker 1: At least to source those donors legally. The law was 126 00:07:09,080 --> 00:07:13,120 Speaker 1: supposed to prevent egg donations from underage girls, but Natalie 127 00:07:13,160 --> 00:07:16,520 Speaker 1: says it's still fairly common. They're often brought in by 128 00:07:16,560 --> 00:07:20,400 Speaker 1: people like Sema, people known in the industry as agents. 129 00:07:20,920 --> 00:07:24,800 Speaker 3: They're not employed by any particular company or clinic. They're 130 00:07:24,880 --> 00:07:27,720 Speaker 3: out there and they're in the neighborhoods trying to source 131 00:07:27,800 --> 00:07:31,160 Speaker 3: women to donate or rather sell their eggs. And so 132 00:07:31,320 --> 00:07:35,720 Speaker 3: these are often former egg donors themselves, or they might 133 00:07:35,880 --> 00:07:38,960 Speaker 3: be a cleaner at a hospital. It might be a 134 00:07:39,120 --> 00:07:44,040 Speaker 3: woman in the neighborhood who is also sourcing blood donations 135 00:07:44,080 --> 00:07:48,040 Speaker 3: and kidney donations and the like, and so word travels 136 00:07:48,080 --> 00:07:51,640 Speaker 3: along the grapevine and a lot of less privileged neighborhoods 137 00:07:51,640 --> 00:07:53,920 Speaker 3: that this is one way to make some fast cash 138 00:07:53,960 --> 00:07:54,560 Speaker 3: if you need it. 139 00:07:55,080 --> 00:07:57,840 Speaker 1: The girl's family comes from one of the lowest tiers 140 00:07:58,000 --> 00:08:02,000 Speaker 1: in India's cast system. She says her father isn't around much, 141 00:08:02,480 --> 00:08:05,880 Speaker 1: her mother's parents help them get by, so the money 142 00:08:06,000 --> 00:08:10,880 Speaker 1: Seema offered the girl for her eggs was tempting. Once 143 00:08:10,960 --> 00:08:15,320 Speaker 1: she signed on, the plan unfolded over two weeks. It 144 00:08:15,440 --> 00:08:18,040 Speaker 1: started with shots, so. 145 00:08:18,160 --> 00:08:20,800 Speaker 3: It was ten days of visiting the clinic and going 146 00:08:20,960 --> 00:08:25,160 Speaker 3: four hormones shots to stimulate her ovaries to produce the eggs. 147 00:08:25,680 --> 00:08:28,239 Speaker 3: She was doing this all in secret from her family, 148 00:08:28,560 --> 00:08:31,160 Speaker 3: so she did talk about how she was getting really 149 00:08:31,200 --> 00:08:33,080 Speaker 3: sick of it at the end, and Seema was having 150 00:08:33,120 --> 00:08:35,760 Speaker 3: to sort of cajole her and make sure she attended 151 00:08:35,760 --> 00:08:40,079 Speaker 3: her appointments. And you know, I've undergone IVF myself. I 152 00:08:40,200 --> 00:08:42,760 Speaker 3: know what those hormone shots are like, and they can 153 00:08:42,880 --> 00:08:45,880 Speaker 3: really really mess with you. You end up feeling incredibly bloated, 154 00:08:47,000 --> 00:08:49,880 Speaker 3: your emotions are all over the place. It can be 155 00:08:50,040 --> 00:08:51,440 Speaker 3: painful at times, to. 156 00:08:51,520 --> 00:08:54,200 Speaker 1: The extent that you know. Did she have any doubts 157 00:08:54,320 --> 00:08:55,160 Speaker 1: during that process. 158 00:08:55,600 --> 00:08:57,640 Speaker 3: I think there were moments where she was like, oh, 159 00:08:57,679 --> 00:08:59,240 Speaker 3: I'm done with this, this is like too much. 160 00:08:59,520 --> 00:09:02,520 Speaker 1: But the girl told Natalie that by that point, Sema 161 00:09:02,559 --> 00:09:03,440 Speaker 1: said it was too late. 162 00:09:03,800 --> 00:09:05,920 Speaker 3: Sema was like, no, you can't back out. You're going 163 00:09:05,960 --> 00:09:08,280 Speaker 3: to your appointments. You know, we're spending money on you 164 00:09:08,600 --> 00:09:10,760 Speaker 3: to receive these medications, so you're going to go. 165 00:09:11,080 --> 00:09:14,000 Speaker 1: The girl was about thirteen years old, though her family 166 00:09:14,080 --> 00:09:17,240 Speaker 1: isn't sure of her exact birthday. That meant that what 167 00:09:17,400 --> 00:09:20,760 Speaker 1: she was preparing to do was illegal, So on the 168 00:09:20,800 --> 00:09:23,880 Speaker 1: morning of her retrieval, Sema helped the girl disguise her age. 169 00:09:24,679 --> 00:09:25,880 Speaker 1: They started with her outfit. 170 00:09:26,240 --> 00:09:28,440 Speaker 3: Once her mother left the home, the girl got up 171 00:09:28,600 --> 00:09:31,079 Speaker 3: and she had been told to wear a sari. So 172 00:09:31,480 --> 00:09:34,800 Speaker 3: the girl typically wears what we call of archamza's in India. 173 00:09:34,800 --> 00:09:37,880 Speaker 3: They're kind of like a tunic and it can make 174 00:09:38,200 --> 00:09:41,720 Speaker 3: a slim body look very slim. The sary was intended 175 00:09:41,800 --> 00:09:44,560 Speaker 3: to make her look older, curvier, like an adult. 176 00:09:45,000 --> 00:09:48,480 Speaker 1: The girl met Sema outside the clinic. Another woman was 177 00:09:48,559 --> 00:09:52,160 Speaker 1: with her, an agent named Anita. The girl told Natalie 178 00:09:52,200 --> 00:09:55,199 Speaker 1: it was Anita who had arranged the fake id, and 179 00:09:55,320 --> 00:09:57,600 Speaker 1: the girl says the two women had a few more 180 00:09:57,679 --> 00:09:59,960 Speaker 1: tricks to make her look older before she went out. 181 00:10:00,720 --> 00:10:05,720 Speaker 2: But the Awadani about THEI think. 182 00:10:05,760 --> 00:10:08,360 Speaker 3: They began putting on all of these sort of accessories 183 00:10:08,440 --> 00:10:10,800 Speaker 3: that signify a married woman in India, so like a 184 00:10:10,880 --> 00:10:15,040 Speaker 3: vermilion bindi on the forehead and a Mongol Sutra wedding necklace, 185 00:10:15,559 --> 00:10:18,959 Speaker 3: and then they had a toddler ready for her. So 186 00:10:19,280 --> 00:10:21,040 Speaker 3: they had lied to the clinic and said that she 187 00:10:21,080 --> 00:10:24,360 Speaker 3: had already given birth twice, and so she was given 188 00:10:24,559 --> 00:10:27,160 Speaker 3: a fake child to take into the clinic with her. 189 00:10:27,400 --> 00:10:30,719 Speaker 1: Did the people in the clinic believe that she was 190 00:10:30,800 --> 00:10:32,920 Speaker 1: who she said she was, and she was as old 191 00:10:33,000 --> 00:10:33,920 Speaker 1: as she said she was. 192 00:10:34,320 --> 00:10:36,400 Speaker 3: Well, that's that's one of the things, right, I mean, 193 00:10:36,480 --> 00:10:39,840 Speaker 3: clearly some red flags did go up the doctors who 194 00:10:39,920 --> 00:10:43,560 Speaker 3: were counseling her before the procedure. At one point they 195 00:10:43,640 --> 00:10:46,880 Speaker 3: asked Sema to leave the room because they wanted to 196 00:10:46,920 --> 00:10:49,720 Speaker 3: hear from the girl herself. And then they were like, okay, 197 00:10:49,760 --> 00:10:52,160 Speaker 3: why are you doing this? How many children have you had? 198 00:10:52,720 --> 00:10:55,480 Speaker 1: The girl says she answered those questions the way Sima 199 00:10:55,559 --> 00:10:58,920 Speaker 1: had coached her. If the doctors were skeptical, they didn't 200 00:10:58,960 --> 00:11:02,440 Speaker 1: stop the procedure from going forward. They wheeled the girl 201 00:11:02,600 --> 00:11:05,880 Speaker 1: into the operating room, put her under anesthesia, and started 202 00:11:05,920 --> 00:11:06,480 Speaker 1: the retrieval. 203 00:11:08,080 --> 00:11:11,480 Speaker 3: They take a really really long needle and they push 204 00:11:11,559 --> 00:11:15,559 Speaker 3: it up your vagina and they go to the ovaries 205 00:11:15,600 --> 00:11:19,480 Speaker 3: where follicles have been developing. And so the follicles, probably 206 00:11:19,600 --> 00:11:21,880 Speaker 3: dozens of them in many cases, are about half an 207 00:11:21,880 --> 00:11:24,199 Speaker 3: inch long, and they put the needle in there and 208 00:11:24,280 --> 00:11:26,160 Speaker 3: they aspirate the egg out, so they sort of like 209 00:11:26,240 --> 00:11:27,760 Speaker 3: suck it out, and they pull these out and they 210 00:11:27,800 --> 00:11:30,520 Speaker 3: put them into a dish. It's usually quite quick. It's 211 00:11:30,559 --> 00:11:31,559 Speaker 3: over in about ten minutes. 212 00:11:32,320 --> 00:11:35,360 Speaker 1: The girl says she woke up from the procedure feeling woozy. 213 00:11:35,920 --> 00:11:38,800 Speaker 1: She was in pain, her stomach hurt, and she was 214 00:11:38,880 --> 00:11:43,720 Speaker 1: alone Peter. 215 00:11:46,040 --> 00:11:48,880 Speaker 3: When she comes to she's like, nobody's there, the doctor's gone, 216 00:11:48,920 --> 00:11:50,200 Speaker 3: nobody's talking to me, just. 217 00:11:50,440 --> 00:11:51,160 Speaker 2: A man, says. 218 00:11:53,400 --> 00:11:54,559 Speaker 1: Tombulenkan Giant. 219 00:11:55,800 --> 00:11:57,360 Speaker 3: She sees a nurse. She's like, can I go and 220 00:11:57,440 --> 00:11:59,560 Speaker 3: the nurse is like, yeah, sure, So she gets up 221 00:11:59,600 --> 00:12:02,640 Speaker 3: and leave and she walks out of the clinic. Anita 222 00:12:02,760 --> 00:12:06,040 Speaker 3: goes to an atm nearby, pulls out fifteen thousand rupees, 223 00:12:06,320 --> 00:12:08,959 Speaker 3: hands it to Sema. Sema takes her cut, gives eleven 224 00:12:09,040 --> 00:12:11,840 Speaker 3: thy six hundred rupees to the girl, and goes immediately 225 00:12:11,960 --> 00:12:12,600 Speaker 3: to buy her phone. 226 00:12:13,120 --> 00:12:15,720 Speaker 1: After the girl bought her phone, she tried to hide 227 00:12:15,760 --> 00:12:19,000 Speaker 1: it from her mom, but her secret didn't stay secret 228 00:12:19,280 --> 00:12:25,800 Speaker 1: for long. Coming up how that secret was exposed and 229 00:12:25,920 --> 00:12:28,240 Speaker 1: how the girl's story connects to some of the biggest 230 00:12:28,360 --> 00:12:45,439 Speaker 1: financial players in the world, Bloomberg's Natalie Obico Pearson went 231 00:12:45,520 --> 00:12:48,000 Speaker 1: to see the clinic where the girl's eggs were retrieved. 232 00:12:48,840 --> 00:12:50,719 Speaker 1: It's part of a chain which is one of the 233 00:12:50,800 --> 00:12:55,680 Speaker 1: biggest in India. It's called Nova IVF Fertility. 234 00:12:57,200 --> 00:12:59,760 Speaker 3: Walking up to the Nova IVF clinic. 235 00:13:01,320 --> 00:13:04,079 Speaker 1: It's on a busy street in Varanasi, a city of 236 00:13:04,160 --> 00:13:06,480 Speaker 1: a few million on the banks of the Gandhes River 237 00:13:06,679 --> 00:13:10,520 Speaker 1: in northern India. From the outside, the clinic looks more 238 00:13:10,720 --> 00:13:12,280 Speaker 1: office building than hospital. 239 00:13:12,600 --> 00:13:16,520 Speaker 3: Big glass building with sort of blue reflective windows, modern 240 00:13:16,760 --> 00:13:19,920 Speaker 3: and there's like an eyeglasses shop on the bottom which 241 00:13:20,000 --> 00:13:23,640 Speaker 3: is selling designer sunglasses for more than the girl got 242 00:13:23,679 --> 00:13:24,640 Speaker 3: paid for her eggs. 243 00:13:25,120 --> 00:13:28,440 Speaker 1: The building is also covered with billboards. Our colleague at 244 00:13:28,520 --> 00:13:32,559 Speaker 1: VET Pelipu helped Natalie translate them from Hindi north West. 245 00:13:32,640 --> 00:13:37,280 Speaker 1: Who become a mother and father? Stot your journey your 246 00:13:37,320 --> 00:13:38,360 Speaker 1: mother father road. 247 00:13:39,120 --> 00:13:40,320 Speaker 2: It start your journey to. 248 00:13:40,360 --> 00:13:44,679 Speaker 1: Become a mother father there. Nova IVF has had some 249 00:13:44,960 --> 00:13:46,119 Speaker 1: big name investors. 250 00:13:46,679 --> 00:13:51,440 Speaker 3: Its growth was funded by Western financiers. You know. Goldman 251 00:13:51,559 --> 00:13:53,959 Speaker 3: Sachs was one of its very early investors. It was 252 00:13:54,040 --> 00:13:58,040 Speaker 3: set up by a US based private equity firm. Today 253 00:13:58,360 --> 00:14:01,640 Speaker 3: it's owned by a TPG, another private equity firm. 254 00:14:01,800 --> 00:14:04,880 Speaker 1: The rush to cash in on India's fertility industry has 255 00:14:05,000 --> 00:14:06,160 Speaker 1: ramped up in recent years. 256 00:14:06,600 --> 00:14:09,839 Speaker 3: I'd say in the last maybe like five to eight 257 00:14:09,920 --> 00:14:12,280 Speaker 3: years or so, five to ten years. That's where you've 258 00:14:12,320 --> 00:14:15,360 Speaker 3: seen sort of like the really big money, really sophisticated 259 00:14:15,400 --> 00:14:20,320 Speaker 3: investors coming in, so Silicon Valley investors, private equity firms, 260 00:14:20,880 --> 00:14:25,680 Speaker 3: banks coming in and taking stakes in local IVF chains, 261 00:14:25,800 --> 00:14:26,680 Speaker 3: expanding them. 262 00:14:27,080 --> 00:14:30,440 Speaker 1: All of that business has created more competition among clinics 263 00:14:31,080 --> 00:14:35,280 Speaker 1: and also among agents, and that's actually how the girl's 264 00:14:35,320 --> 00:14:36,800 Speaker 1: secret was exposed. 265 00:14:37,320 --> 00:14:40,480 Speaker 3: Seema and another agent end up getting into a quarrel 266 00:14:40,600 --> 00:14:43,120 Speaker 3: on the street over the girl. The other agent is 267 00:14:43,200 --> 00:14:46,640 Speaker 3: accusing Sema of having stolen a client, and one of 268 00:14:46,720 --> 00:14:50,600 Speaker 3: the girl's relatives overhears this quarrel, and so word goes 269 00:14:50,680 --> 00:14:53,320 Speaker 3: back through her family, eventually back to her mom, and 270 00:14:53,440 --> 00:14:55,920 Speaker 3: her mom confronts the girl and says sees the phone 271 00:14:56,160 --> 00:14:58,600 Speaker 3: and that's when things sort of like explode. 272 00:15:03,600 --> 00:15:06,000 Speaker 1: The girl's mother says that she was angry when she 273 00:15:06,120 --> 00:15:13,640 Speaker 1: found out what her daughter had done sub but since 274 00:15:13,680 --> 00:15:16,400 Speaker 1: everyone was already starting to gossip, she didn't want to 275 00:15:16,440 --> 00:15:25,920 Speaker 1: pile on. She says, what had been lost was lost, 276 00:15:27,000 --> 00:15:30,080 Speaker 1: so as a mother, her job was to make sure 277 00:15:30,320 --> 00:15:31,560 Speaker 1: something was done about it. 278 00:15:32,040 --> 00:15:35,600 Speaker 3: So the mom confronts Sema. She ends up filing a 279 00:15:35,680 --> 00:15:37,040 Speaker 3: police complaint. 280 00:15:37,800 --> 00:15:41,600 Speaker 1: The girl's mother says, even now she doesn't fully understand 281 00:15:41,680 --> 00:15:49,240 Speaker 1: what was done to her daughter, and Natalie says her 282 00:15:49,320 --> 00:15:52,360 Speaker 1: confusion shows in that police complaint she filed. 283 00:15:55,200 --> 00:15:57,800 Speaker 3: When her mother first went to the police and filed 284 00:15:57,840 --> 00:16:00,920 Speaker 3: the complaint, she wrote down something like, you know, something 285 00:16:01,000 --> 00:16:04,440 Speaker 3: has happened to my daughter. She's still a virgin, Like 286 00:16:04,640 --> 00:16:07,480 Speaker 3: please help me. This is terrible and so it you know, 287 00:16:07,840 --> 00:16:12,040 Speaker 3: egg donations sort of get conflated with sex and maybe 288 00:16:12,120 --> 00:16:14,840 Speaker 3: sexual assault and the kind of implications that can have 289 00:16:15,080 --> 00:16:19,200 Speaker 3: for a woman in Indian society. Violation a violation, and 290 00:16:19,640 --> 00:16:23,360 Speaker 3: it sparked the kind of questions that really are are 291 00:16:23,560 --> 00:16:26,640 Speaker 3: are the worst question that an Indian woman can face, 292 00:16:26,960 --> 00:16:28,880 Speaker 3: is you know, is she going to be able to 293 00:16:28,960 --> 00:16:33,920 Speaker 3: have children? So people don't understand this procedure, they're asking 294 00:16:34,080 --> 00:16:36,040 Speaker 3: in the streets, their gossiping is she ever going to 295 00:16:36,080 --> 00:16:36,960 Speaker 3: be able to have kids? 296 00:16:37,200 --> 00:16:39,360 Speaker 1: The complaint sparked an investigation. 297 00:16:39,920 --> 00:16:43,600 Speaker 3: The medical officers report was pretty explicit. It's said this 298 00:16:43,760 --> 00:16:48,000 Speaker 3: could not have happened without the cooperation of the clinic 299 00:16:48,080 --> 00:16:51,840 Speaker 3: and its employees, and yet police never seemed to follow 300 00:16:52,000 --> 00:16:55,720 Speaker 3: that lead. They arrested the five low level people and 301 00:16:56,000 --> 00:17:00,640 Speaker 3: then never ended up going back to the c and 302 00:17:00,840 --> 00:17:02,280 Speaker 3: holding any of them accountable. 303 00:17:02,480 --> 00:17:05,399 Speaker 1: Sema was among those arrested and has since been released 304 00:17:05,440 --> 00:17:08,760 Speaker 1: on bail. Anita, the woman who helped secure the girl's 305 00:17:08,800 --> 00:17:12,840 Speaker 1: fake ID, was also arrested along with three men. The 306 00:17:12,960 --> 00:17:16,280 Speaker 1: doctors and staff at Nova IVF, the clinic that performed 307 00:17:16,320 --> 00:17:18,560 Speaker 1: the retrieval, have not been named in the case. 308 00:17:18,880 --> 00:17:21,680 Speaker 3: What Nova said to us, They said, look like we 309 00:17:21,880 --> 00:17:26,280 Speaker 3: do our best to ensure that cases like this don't happen, 310 00:17:26,400 --> 00:17:28,720 Speaker 3: but to some degree our hands are tied, like it's 311 00:17:28,800 --> 00:17:32,520 Speaker 3: not our expertise to try and weed out fake IDs. 312 00:17:33,040 --> 00:17:35,320 Speaker 3: This is where the government has to bring in biometric 313 00:17:35,760 --> 00:17:38,720 Speaker 3: verifications so that this kind of thing doesn't happen, and 314 00:17:38,840 --> 00:17:40,760 Speaker 3: we would be the first people to adopt it. 315 00:17:41,160 --> 00:17:44,119 Speaker 1: Goldman Sachs is no longer an investor in Nova IVF 316 00:17:44,320 --> 00:17:48,080 Speaker 1: and a client to comment. TPG, the private equity group 317 00:17:48,200 --> 00:17:52,359 Speaker 1: currently backing the clinic, deferred comment to Nova. Nova also 318 00:17:52,440 --> 00:17:55,240 Speaker 1: said that they've been lobbying the Indian government to mandate 319 00:17:55,400 --> 00:17:59,560 Speaker 1: more stringent ways of verifying donors identities and ages, but 320 00:17:59,640 --> 00:18:04,720 Speaker 1: they say the government has not responded. After word got 321 00:18:04,760 --> 00:18:07,239 Speaker 1: out in the girl's community that she had sold her 322 00:18:07,280 --> 00:18:10,720 Speaker 1: eggs to buy a phone, the stigma she faced was 323 00:18:10,800 --> 00:18:20,680 Speaker 1: severe comment. The girl says, there are people who call 324 00:18:20,760 --> 00:18:28,960 Speaker 1: her names, who scorn and taunt her. Govern questions why 325 00:18:29,080 --> 00:18:33,240 Speaker 1: people are only blaming her and not blaming the adults involved. 326 00:18:41,280 --> 00:18:59,280 Speaker 1: Blamed blame, she says, people keep talking about it, but 327 00:18:59,400 --> 00:19:01,880 Speaker 1: no one asks her why she did what she did. 328 00:19:03,040 --> 00:19:09,760 Speaker 1: She says, she knows she made a mistake. Marino Kisleo 329 00:19:09,880 --> 00:19:14,120 Speaker 1: taiu he Eliza Nicols. 330 00:19:14,119 --> 00:19:16,600 Speaker 3: She had no idea what she was getting into. All 331 00:19:16,680 --> 00:19:19,280 Speaker 3: she wanted was a phone and it ended up having 332 00:19:20,119 --> 00:19:23,640 Speaker 3: these consequences that she never could have imagined. So she's 333 00:19:23,720 --> 00:19:27,040 Speaker 3: dropped out of school. You know, in stigma in close 334 00:19:27,119 --> 00:19:29,399 Speaker 3: knit communities like the ones that she lives in, is 335 00:19:29,440 --> 00:19:31,320 Speaker 3: something very difficult to escape from. 336 00:19:33,600 --> 00:19:37,040 Speaker 1: Natalie says, while the girl's story may seem extreme, it's 337 00:19:37,119 --> 00:19:40,359 Speaker 1: not that unusual in India, one of the world's largest 338 00:19:40,440 --> 00:19:44,359 Speaker 1: markets for donor eggs. But the same forces that swept 339 00:19:44,440 --> 00:19:48,320 Speaker 1: up the girl, great demand and great opportunity for profit 340 00:19:48,880 --> 00:19:52,680 Speaker 1: are not limited to India. They're present wherever the human 341 00:19:52,720 --> 00:19:55,960 Speaker 1: egg trade happens, and as the market has grown, so 342 00:19:56,160 --> 00:19:59,120 Speaker 1: has the potential for corruption and exploitation. 343 00:20:00,480 --> 00:20:05,760 Speaker 3: To me, fundamentally, it's about the commodification of women's body 344 00:20:06,280 --> 00:20:11,920 Speaker 3: and the commercialization of reproduction. So big investors are in 345 00:20:12,080 --> 00:20:15,159 Speaker 3: this for the money, and we know the kind of 346 00:20:15,440 --> 00:20:19,440 Speaker 3: returns that private equity tends to expect in their investments. 347 00:20:20,000 --> 00:20:22,920 Speaker 3: I think it's a story of what happens when you 348 00:20:23,040 --> 00:20:27,960 Speaker 3: have tremendous growth and tremendous demand without guard rails. Just 349 00:20:28,119 --> 00:20:32,400 Speaker 3: the infrastructure and the regulations and the ability to enforce 350 00:20:32,760 --> 00:20:36,399 Speaker 3: is not there in India to make sure that procedures 351 00:20:36,560 --> 00:20:41,040 Speaker 3: like this happen ethically. And I think that's something that 352 00:20:41,400 --> 00:20:45,000 Speaker 3: I want people to think about when they come away 353 00:20:45,080 --> 00:20:48,000 Speaker 3: from the story. If you're ever in the position where 354 00:20:48,080 --> 00:20:51,359 Speaker 3: you need a donated egg, to think about where is 355 00:20:51,440 --> 00:20:53,639 Speaker 3: that coming from and how can you be sure that 356 00:20:53,840 --> 00:20:55,320 Speaker 3: it was sourced sustainably. 357 00:21:00,440 --> 00:21:03,560 Speaker 1: That was the first episode in The Human Egg Trade, 358 00:21:03,800 --> 00:21:06,920 Speaker 1: our special series about the booming global market for human 359 00:21:07,000 --> 00:21:10,160 Speaker 1: eggs and the people whose lives are swept. 360 00:21:09,960 --> 00:21:10,200 Speaker 2: Up in it. 361 00:21:11,040 --> 00:21:13,560 Speaker 1: The next episode in the series takes us to Greece, 362 00:21:14,200 --> 00:21:17,320 Speaker 1: where this intense demand sets the stage for a crime 363 00:21:17,680 --> 00:21:19,440 Speaker 1: with profound consequences. 364 00:21:20,600 --> 00:21:25,800 Speaker 2: So Maria was lucky. She eventually did get pregnant and 365 00:21:25,840 --> 00:21:30,080 Speaker 2: she had a child, and last year the police asked 366 00:21:30,080 --> 00:21:32,520 Speaker 2: he had come down to the police station, and she 367 00:21:32,720 --> 00:21:36,080 Speaker 2: walked into the room and there were two police officers 368 00:21:36,240 --> 00:21:41,240 Speaker 2: and a third person who was a psychologist. And when 369 00:21:41,359 --> 00:21:45,240 Speaker 2: Maria saw the psychologist, her heart sunk. She knew she 370 00:21:45,320 --> 00:21:47,360 Speaker 2: was about to get bad news. They sat her down 371 00:21:47,600 --> 00:21:51,320 Speaker 2: and they broke the news to her that their investigation 372 00:21:52,040 --> 00:21:54,880 Speaker 2: had found that her eggs had been stolen. 373 00:21:59,400 --> 00:22:06,480 Speaker 1: Look for that episode next Friday. For more in depth 374 00:22:06,560 --> 00:22:09,480 Speaker 1: reporting on how the human egg has become a precious 375 00:22:09,520 --> 00:22:13,800 Speaker 1: resource traded around the world, read The Egg, an investigation 376 00:22:13,920 --> 00:22:16,760 Speaker 1: by Bloomberg BusinessWeek and The Big Take, which spans five 377 00:22:16,880 --> 00:22:20,240 Speaker 1: continents and eleven countries. You can read The Egg on 378 00:22:20,400 --> 00:22:23,800 Speaker 1: the Bloomberg terminal, Bloomberg dot com or in the January 379 00:22:23,840 --> 00:22:27,359 Speaker 1: twenty twenty five issue of Bloomberg BusinessWeek. This is the 380 00:22:27,440 --> 00:22:31,320 Speaker 1: Big Take from Bloomberg News. I'm Sarah Holder. This episode 381 00:22:31,400 --> 00:22:35,080 Speaker 1: was produced by David Fox. It was edited by Tracy Samuelson, 382 00:22:35,280 --> 00:22:38,520 Speaker 1: Lauren Eder, and Ken Armstrong. It was fact checked by 383 00:22:38,560 --> 00:22:42,040 Speaker 1: Adriana Tapia and mixed and sound designed by Alex Sugia 384 00:22:42,200 --> 00:22:46,120 Speaker 1: and Jessica Beck. Special thanks to Ed Vett, Pelipu, Vicki 385 00:22:46,200 --> 00:22:51,439 Speaker 1: Fung Need two, Suda mohandas Bloomberg Originals and Pratish Narayanan. 386 00:22:51,920 --> 00:22:55,119 Speaker 1: Our senior producer is Naomi Shaven. Our senior editor is 387 00:22:55,160 --> 00:22:59,639 Speaker 1: Elizabeth Ponso. Our executive producer is Nicole Beamster. Bor Sage 388 00:22:59,680 --> 00:23:03,440 Speaker 1: Bauman is Bloomberg's head of podcasts. If you liked this episode, 389 00:23:03,640 --> 00:23:06,240 Speaker 1: make sure to subscribe and review The Big Take wherever 390 00:23:06,320 --> 00:23:08,880 Speaker 1: you listen to podcasts. It helps people find the show. 391 00:23:09,720 --> 00:23:12,160 Speaker 1: Thanks for listening. We'll be back next week.