1 00:00:00,240 --> 00:00:07,200 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. 2 00:00:07,840 --> 00:00:11,560 Speaker 2: Hi Wanha Here. This week we're airing the first episode 3 00:00:11,600 --> 00:00:15,120 Speaker 2: of a special series from Bloomberg's investigations team and The 4 00:00:15,120 --> 00:00:18,360 Speaker 2: Big Take podcast. It's an in depth look at the 5 00:00:18,400 --> 00:00:22,640 Speaker 2: global trade in human eggs. A batch of human eggs 6 00:00:22,680 --> 00:00:25,680 Speaker 2: is extracted from a woman somewhere on the planet roughly 7 00:00:25,720 --> 00:00:29,480 Speaker 2: every fifteen seconds, and as the demand for these eggs 8 00:00:29,520 --> 00:00:34,159 Speaker 2: has grown, so has the potential for exploitation and even theft. 9 00:00:34,840 --> 00:00:38,120 Speaker 2: So to understand this market, Bloomberg reporters across the globe 10 00:00:38,200 --> 00:00:40,680 Speaker 2: spent a year talking to people who are at the 11 00:00:40,680 --> 00:00:44,080 Speaker 2: center of this booming industry that harvests from the bodies 12 00:00:44,120 --> 00:00:48,240 Speaker 2: of women and sometimes even girls. The three part series 13 00:00:48,320 --> 00:00:51,000 Speaker 2: was first published in The Big Take podcast in December, 14 00:00:51,360 --> 00:00:54,120 Speaker 2: and we'll be publishing the second and third episodes this week. 15 00:00:54,520 --> 00:00:56,960 Speaker 2: Make sure to subscribe to The Big Take Asia to 16 00:00:57,000 --> 00:01:00,800 Speaker 2: hear them when they're out. Here's our first episode. 17 00:01:02,040 --> 00:01:05,640 Speaker 3: This story starts with a young girl in India, barely 18 00:01:05,680 --> 00:01:09,000 Speaker 3: a teenager who loves doing hair and makeup and helping 19 00:01:09,040 --> 00:01:12,120 Speaker 3: her mom put on her sorry. When she grows up, 20 00:01:12,280 --> 00:01:16,040 Speaker 3: she'd like to become a beautician, and in twenty twenty three. 21 00:01:16,120 --> 00:01:19,000 Speaker 3: She wanted what so many teens around the world want, 22 00:01:19,760 --> 00:01:26,280 Speaker 3: a smartphone, and was a phone vihe Nakha. The girl 23 00:01:26,319 --> 00:01:29,880 Speaker 3: says that like everyone in her generation, she loves using phones. 24 00:01:30,560 --> 00:01:32,679 Speaker 3: She'd asked her mom for one, but her mom said 25 00:01:32,840 --> 00:01:36,319 Speaker 3: the family couldn't afford it. Then she heard about a 26 00:01:36,360 --> 00:01:39,520 Speaker 3: way she could make the money herself. And because of 27 00:01:39,560 --> 00:01:42,720 Speaker 3: what it involved and for reasons that will soon become clear, 28 00:01:43,360 --> 00:01:45,200 Speaker 3: the girl and her family have asked that we not 29 00:01:45,360 --> 00:01:49,520 Speaker 3: use her name. The idea came from someone she trusted, 30 00:01:52,440 --> 00:02:03,560 Speaker 3: zeik Mirda mohleki Chachi means aunt in Hindi. It's what 31 00:02:03,640 --> 00:02:07,360 Speaker 3: the girl called her grandmother's neighbor. The woman's name is Sema. 32 00:02:07,760 --> 00:02:09,920 Speaker 3: We're not using her last name because it could help 33 00:02:09,960 --> 00:02:12,960 Speaker 3: identify the girl. And Sema knew a way the girl 34 00:02:13,040 --> 00:02:15,560 Speaker 3: could get the money for a phone, but if she 35 00:02:15,600 --> 00:02:18,880 Speaker 3: went through with it, she wasn't allowed to tell her mom. 36 00:02:19,680 --> 00:02:24,120 Speaker 4: The girl said that Sema didn't really explain what it was. 37 00:02:24,400 --> 00:02:26,160 Speaker 5: She has said herself. 38 00:02:25,760 --> 00:02:28,440 Speaker 4: You know, I'm a kid like I didn't really understand 39 00:02:28,520 --> 00:02:30,200 Speaker 4: what was being done to me or what was going 40 00:02:30,240 --> 00:02:30,880 Speaker 4: to happen to me. 41 00:02:31,400 --> 00:02:35,280 Speaker 3: That's Natalie Obiko Pearson. She's an investigative reporter for Bloomberg 42 00:02:35,360 --> 00:02:37,160 Speaker 3: who was based in India for many years. 43 00:02:37,440 --> 00:02:39,720 Speaker 4: Sema just told her this is how you can make 44 00:02:39,760 --> 00:02:42,480 Speaker 4: fifteen thousand rupees really quick, and so she was like, okay, 45 00:02:42,480 --> 00:02:43,440 Speaker 4: I'll go along with it. 46 00:02:43,600 --> 00:02:47,079 Speaker 3: Fifteen thousand rupees is about one hundred and eighty US dollars. 47 00:02:47,280 --> 00:02:49,640 Speaker 4: It might be more than what her mother makes in 48 00:02:49,680 --> 00:02:54,160 Speaker 4: a month, so it's a lot of money in her world. 49 00:02:54,320 --> 00:02:57,000 Speaker 4: But again, she had no idea what she was getting into. 50 00:02:57,240 --> 00:02:59,640 Speaker 4: All she wanted was a phone and it ended up 51 00:02:59,720 --> 00:03:03,680 Speaker 4: having these consequences that she never could have imagined. 52 00:03:05,160 --> 00:03:10,480 Speaker 3: She'd agreed to sell her ex In doing so, she 53 00:03:10,639 --> 00:03:13,240 Speaker 3: was pulled into a global industry that's boomed in the 54 00:03:13,280 --> 00:03:16,359 Speaker 3: last twenty years, especially within India. 55 00:03:16,560 --> 00:03:20,840 Speaker 4: Fertility is a big business everywhere, but especially in India 56 00:03:20,880 --> 00:03:23,600 Speaker 4: just because of the size of the market there and 57 00:03:24,200 --> 00:03:27,480 Speaker 4: global money has been pouring into that market. And there 58 00:03:27,480 --> 00:03:29,480 Speaker 4: are parts of India where you would walk along a 59 00:03:29,520 --> 00:03:32,400 Speaker 4: single street and there would be like four or five 60 00:03:32,639 --> 00:03:36,280 Speaker 4: fertility clinics there that had cropped up within the span 61 00:03:36,520 --> 00:03:40,040 Speaker 4: of a few years. The analogy that everybody use is 62 00:03:40,080 --> 00:03:42,800 Speaker 4: like they were like mushrooms. Once they began to grow. 63 00:03:42,840 --> 00:03:45,200 Speaker 4: They just began cropping up everywhere. 64 00:03:48,200 --> 00:03:51,360 Speaker 3: Today on the show The Human Egg Trade, a special 65 00:03:51,400 --> 00:03:55,520 Speaker 3: series from Bloomberg's investigations team, and the Big Take podcast. 66 00:03:56,120 --> 00:03:59,720 Speaker 3: Well IVF or in vitro fertilization has been around since 67 00:03:59,720 --> 00:04:03,920 Speaker 3: the nineteen seventies. Early success rates were low, but over 68 00:04:03,960 --> 00:04:08,680 Speaker 3: the last two decades, advancements in technology and funding from 69 00:04:08,760 --> 00:04:12,080 Speaker 3: the biggest investment banks and private equity firms have made 70 00:04:12,080 --> 00:04:16,560 Speaker 3: it possible for the fertility industry to flourish. Now, a 71 00:04:16,680 --> 00:04:19,880 Speaker 3: batch of human eggs is extracted from a woman somewhere 72 00:04:19,880 --> 00:04:24,280 Speaker 3: on the planet roughly every fifteen seconds. Most are from 73 00:04:24,320 --> 00:04:27,440 Speaker 3: women who plan to use those eggs themselves, but at 74 00:04:27,520 --> 00:04:31,120 Speaker 3: least six percent come from women who donate their eggs. 75 00:04:31,720 --> 00:04:36,320 Speaker 3: That's the fertility industry's term donate, though in reality many 76 00:04:36,400 --> 00:04:40,680 Speaker 3: of these women are paid. Bloomberg reporters across the globe 77 00:04:40,720 --> 00:04:43,560 Speaker 3: have spent the last year trying to understand this new 78 00:04:43,800 --> 00:04:48,040 Speaker 3: booming market for human eggs. The stories they found shed 79 00:04:48,120 --> 00:04:50,960 Speaker 3: light on a supply chain where the prize commodity is 80 00:04:50,960 --> 00:04:55,359 Speaker 3: harvested not from fields, fisheries, or mines, but from the 81 00:04:55,360 --> 00:04:59,279 Speaker 3: bodies of women and even girls. It's a global and 82 00:04:59,360 --> 00:05:02,480 Speaker 3: opaque mart where a demand is so great that even 83 00:05:02,520 --> 00:05:06,240 Speaker 3: where regulations are in place, there are powerful incentives to 84 00:05:06,279 --> 00:05:09,400 Speaker 3: evade them. That's been the case in India, where our 85 00:05:09,440 --> 00:05:12,840 Speaker 3: series starts, and where the story of One Girl shows 86 00:05:12,920 --> 00:05:15,200 Speaker 3: how far some people will go to get a cut 87 00:05:15,240 --> 00:05:18,880 Speaker 3: of this trade, even if it means exploiting a child. 88 00:05:19,800 --> 00:05:28,279 Speaker 3: Our story starts after the break. Bloomberg's Natalie Obiko Pearson 89 00:05:28,440 --> 00:05:31,040 Speaker 3: says there are a few reasons why India is seen 90 00:05:31,120 --> 00:05:33,800 Speaker 3: as the de facto capital of the fertility industry. 91 00:05:34,080 --> 00:05:37,000 Speaker 4: One is because the sheer size of the population makes 92 00:05:37,000 --> 00:05:40,239 Speaker 4: the global IVF market there extremely large. 93 00:05:40,520 --> 00:05:42,480 Speaker 3: The other reason is cultural. 94 00:05:42,600 --> 00:05:47,560 Speaker 4: There's an incredible amount of pressure on women to give 95 00:05:47,600 --> 00:05:49,680 Speaker 4: birth in India, like as soon as you get married, 96 00:05:49,720 --> 00:05:51,480 Speaker 4: the pressure begins of like when are you going to 97 00:05:51,520 --> 00:05:52,960 Speaker 4: get pregnant? When are you going to bring us a 98 00:05:53,000 --> 00:05:56,960 Speaker 4: sun And that drives the egg donation market because couples 99 00:05:56,960 --> 00:05:59,479 Speaker 4: there are often willing to maybe just try like one 100 00:05:59,520 --> 00:06:02,080 Speaker 4: cycle off and then if they don't get pregnant, will 101 00:06:02,120 --> 00:06:05,360 Speaker 4: immediately opt for a donor egg. And it was such 102 00:06:05,400 --> 00:06:09,120 Speaker 4: a striking phenomenon that a couple IVF doctors actually said 103 00:06:09,279 --> 00:06:11,080 Speaker 4: it took them by surprise. At first, they would have 104 00:06:11,160 --> 00:06:13,560 Speaker 4: thought that people would have opted to go for a 105 00:06:13,600 --> 00:06:15,760 Speaker 4: few more cycles, you know, wanting their children to have 106 00:06:15,800 --> 00:06:17,839 Speaker 4: their own genetic makeup. But they were like, no, the 107 00:06:17,880 --> 00:06:21,039 Speaker 4: pressure and the expense was so much that they were like, 108 00:06:21,120 --> 00:06:22,640 Speaker 4: let's just go to donation straightway. 109 00:06:23,000 --> 00:06:25,920 Speaker 3: In other words, a couple might bet that buying another 110 00:06:26,000 --> 00:06:28,440 Speaker 3: woman's eggs could give them a quicker path to a 111 00:06:28,480 --> 00:06:33,359 Speaker 3: successful pregnancy. Natalie says fertility clinics in India serve a 112 00:06:33,400 --> 00:06:36,600 Speaker 3: wide range of customers, people from all parts of the country, 113 00:06:36,720 --> 00:06:39,360 Speaker 3: all around the world, and from all walks of life. 114 00:06:40,279 --> 00:06:43,880 Speaker 3: But she says the typical donor has a much narrower profile. 115 00:06:44,320 --> 00:06:47,680 Speaker 4: It's less privileged women coming from marginalized communities. I mean, 116 00:06:47,760 --> 00:06:50,760 Speaker 4: if you just think about the actual procedure of an 117 00:06:50,800 --> 00:06:55,599 Speaker 4: egg donation, it's an incredibly invasive procedure. It requires days 118 00:06:55,640 --> 00:06:59,200 Speaker 4: of hormones, you have to go under general anesthesia to 119 00:06:59,240 --> 00:07:02,240 Speaker 4: have the eggs existed. So what person is going to 120 00:07:02,320 --> 00:07:06,000 Speaker 4: do that? Completely altruistically? Right, Like, the people who are 121 00:07:06,000 --> 00:07:08,239 Speaker 4: doing it are usually doing it because they need money, 122 00:07:08,720 --> 00:07:11,120 Speaker 4: and so that means that most of the donors are 123 00:07:11,120 --> 00:07:13,800 Speaker 4: coming from poorer neighborhoods. 124 00:07:13,480 --> 00:07:18,840 Speaker 3: And more vulnerable backgrounds. In twenty twenty one, after sixteen years, 125 00:07:18,880 --> 00:07:23,280 Speaker 3: eight drafts and three parliamentary studies, Indian lawmakers passed the 126 00:07:23,320 --> 00:07:28,160 Speaker 3: country's first regulations regarding egg donations. The new law created 127 00:07:28,280 --> 00:07:32,040 Speaker 3: a national registry of fertility clinics. It also made it 128 00:07:32,080 --> 00:07:35,320 Speaker 3: illegal to sell eggs, though the industry still manages to 129 00:07:35,360 --> 00:07:39,119 Speaker 3: pay donors by compensating for related costs like their time 130 00:07:39,240 --> 00:07:43,239 Speaker 3: and travel, and it also made it illegal for anyone 131 00:07:43,400 --> 00:07:45,560 Speaker 3: under twenty three years old to donate. 132 00:07:45,960 --> 00:07:49,920 Speaker 4: Anecdotally, you hear that egg donations dropped off quite a 133 00:07:49,920 --> 00:07:52,760 Speaker 4: bit after the law came in, just because a lot 134 00:07:52,760 --> 00:07:54,200 Speaker 4: of people didn't want to be on the wrong side 135 00:07:54,200 --> 00:07:57,560 Speaker 4: of the law, and maybe it got more difficult source donors. 136 00:07:57,280 --> 00:08:01,360 Speaker 3: At least to source those donors. Legally, the law was 137 00:08:01,360 --> 00:08:05,400 Speaker 3: supposed to prevent egg donations from underage girls, but Natalie 138 00:08:05,480 --> 00:08:08,840 Speaker 3: says it's still fairly common. They're often brought in by 139 00:08:08,880 --> 00:08:12,960 Speaker 3: people like Sema, people known in the industry as agents. 140 00:08:13,200 --> 00:08:17,120 Speaker 4: They're not employed by any particular company or clinic. They're 141 00:08:17,160 --> 00:08:20,040 Speaker 4: out there and they're in the neighborhoods trying to source 142 00:08:20,080 --> 00:08:23,480 Speaker 4: women to donate, or rather sell their eggs, and so 143 00:08:23,600 --> 00:08:28,040 Speaker 4: these are often former egg donors themselves, or they might 144 00:08:28,160 --> 00:08:31,280 Speaker 4: be a cleaner at a hospital. It might be a 145 00:08:31,440 --> 00:08:36,359 Speaker 4: woman in the neighborhood who is also sourcing blood donations 146 00:08:36,400 --> 00:08:40,360 Speaker 4: and kidney donations and the like. And so word travels 147 00:08:40,360 --> 00:08:43,920 Speaker 4: along the grapevine and a lot of less privileged neighborhoods 148 00:08:43,920 --> 00:08:46,240 Speaker 4: that this is one way to make some fast cash 149 00:08:46,240 --> 00:08:46,920 Speaker 4: if you need it. 150 00:08:47,360 --> 00:08:50,199 Speaker 3: The girl's family comes from one of the lowest tiers 151 00:08:50,280 --> 00:08:54,360 Speaker 3: in India's cast system. She says her father isn't around much, 152 00:08:54,760 --> 00:08:58,199 Speaker 3: her mother's parents help them get by, so the money 153 00:08:58,280 --> 00:09:03,240 Speaker 3: Seema offered the girl for her eggs was tempting. Once 154 00:09:03,280 --> 00:09:07,640 Speaker 3: she signed on, the plan unfolded over two weeks. It 155 00:09:07,720 --> 00:09:10,320 Speaker 3: started with shots. 156 00:09:10,240 --> 00:09:12,840 Speaker 4: So it was ten days of visiting the clinic and 157 00:09:12,880 --> 00:09:16,920 Speaker 4: going four hormones shots to stimulate her ovaries to produce 158 00:09:17,000 --> 00:09:19,840 Speaker 4: the eggs. She was doing this all in secret from 159 00:09:19,880 --> 00:09:22,920 Speaker 4: her family, so she did talk about how she was 160 00:09:22,920 --> 00:09:25,000 Speaker 4: getting really sick of it at the end, and Sema 161 00:09:25,040 --> 00:09:27,120 Speaker 4: was having to sort of cajole her and make sure 162 00:09:27,120 --> 00:09:32,320 Speaker 4: she attended her appointments. And you know, I've undergone IVF myself. 163 00:09:32,360 --> 00:09:34,840 Speaker 4: I know what those hormone shots are like and they 164 00:09:34,920 --> 00:09:37,120 Speaker 4: can really really mess with you. You end up feeling 165 00:09:37,160 --> 00:09:41,559 Speaker 4: incredibly bloated, Your emotions are all over the place. 166 00:09:41,800 --> 00:09:43,719 Speaker 5: It can be painful at times. 167 00:09:43,640 --> 00:09:46,120 Speaker 3: To the extent that you know, did she have any 168 00:09:46,120 --> 00:09:47,520 Speaker 3: doubts during that process. 169 00:09:47,920 --> 00:09:49,960 Speaker 4: I think there were moments where she was like, Oh, 170 00:09:50,000 --> 00:09:51,600 Speaker 4: I'm done with this, this is like too much. 171 00:09:51,840 --> 00:09:54,800 Speaker 3: But the girl told Natalie that by that point, Sema 172 00:09:54,880 --> 00:09:55,760 Speaker 3: said it was too late. 173 00:09:56,080 --> 00:09:58,240 Speaker 4: Sema was like, no, you can't back out. You're going 174 00:09:58,240 --> 00:10:00,719 Speaker 4: to your appointments. You know, we're spending money on you 175 00:10:00,920 --> 00:10:03,120 Speaker 4: to receive these medications, so you're going to go. 176 00:10:03,360 --> 00:10:06,320 Speaker 3: The girl was about thirteen years old, though her family 177 00:10:06,360 --> 00:10:09,640 Speaker 3: isn't sure of her exact birthday. That meant that what 178 00:10:09,679 --> 00:10:13,079 Speaker 3: she was preparing to do was illegal. So on the 179 00:10:13,120 --> 00:10:16,360 Speaker 3: morning of her retrieval, Sema helped the girl disguise her age. 180 00:10:16,960 --> 00:10:18,240 Speaker 3: They started with her outfit. 181 00:10:18,520 --> 00:10:20,800 Speaker 4: Once her mother left the home, the girl got up 182 00:10:20,920 --> 00:10:23,480 Speaker 4: and she had been told to wear a sari. So 183 00:10:23,760 --> 00:10:26,679 Speaker 4: the girl typically wears what we call some of archamza's 184 00:10:26,679 --> 00:10:29,600 Speaker 4: in India. They're kind of like a tunic and it 185 00:10:29,760 --> 00:10:33,280 Speaker 4: can make a slim body look very slim. The sari 186 00:10:33,480 --> 00:10:36,920 Speaker 4: was intended to make her look older, curvier like an adult. 187 00:10:37,280 --> 00:10:40,800 Speaker 3: The girl met Sima outside the clinic. Another woman was 188 00:10:40,840 --> 00:10:44,480 Speaker 3: with her, an agent named Anita. The girl told Natalie 189 00:10:44,520 --> 00:10:47,560 Speaker 3: it was Anita who had arranged the fake id, and 190 00:10:47,600 --> 00:10:49,920 Speaker 3: the girl says the two women had a few more 191 00:10:50,000 --> 00:10:52,720 Speaker 3: tricks to make her look older before she went inside. 192 00:10:53,000 --> 00:10:57,880 Speaker 3: But the Awadani about the think. 193 00:10:58,040 --> 00:11:00,720 Speaker 4: They began putting on all of these sort of accessories 194 00:11:00,720 --> 00:11:03,079 Speaker 4: that signify a married woman in India, so like a 195 00:11:03,200 --> 00:11:07,360 Speaker 4: vermilion bindi on the forehead and a Mongol Sutra wedding necklace, 196 00:11:07,880 --> 00:11:11,360 Speaker 4: and then they had a toddler ready for her. So 197 00:11:11,559 --> 00:11:13,360 Speaker 4: they had lied to the clinic and said that she 198 00:11:13,360 --> 00:11:16,680 Speaker 4: had already given birth twice, and so she was given 199 00:11:16,840 --> 00:11:19,520 Speaker 4: a fake child to take into the clinic with her. 200 00:11:19,679 --> 00:11:23,040 Speaker 3: Did the people in the clinic believe that she was 201 00:11:23,080 --> 00:11:25,280 Speaker 3: who she said she was and she was as old 202 00:11:25,280 --> 00:11:26,120 Speaker 3: as she said she. 203 00:11:26,160 --> 00:11:28,719 Speaker 4: Was, Well, that's one of the things, right, I mean, 204 00:11:28,800 --> 00:11:32,160 Speaker 4: clearly some red flags did go up. The doctors who 205 00:11:32,200 --> 00:11:35,920 Speaker 4: were counseling her before the procedure. At one point they 206 00:11:35,960 --> 00:11:39,200 Speaker 4: asked Sema to leave the room because they wanted to 207 00:11:39,240 --> 00:11:42,040 Speaker 4: hear from the girl herself. And then they were like, Okay, 208 00:11:42,080 --> 00:11:44,520 Speaker 4: why are you doing this? How many children have you had? 209 00:11:45,000 --> 00:11:47,800 Speaker 3: The girl says she answered those questions the way Sema 210 00:11:47,840 --> 00:11:51,240 Speaker 3: had coached her. If the doctors were skeptical, they didn't 211 00:11:51,240 --> 00:11:54,800 Speaker 3: stop the procedure from going forward. They wheeled the girl 212 00:11:54,920 --> 00:11:58,199 Speaker 3: into the operating room, put her under anesthesia, and started 213 00:11:58,200 --> 00:11:58,800 Speaker 3: the retrieval. 214 00:12:00,360 --> 00:12:03,839 Speaker 4: They take a really really long needle and they push 215 00:12:03,840 --> 00:12:07,880 Speaker 4: it up your vagina and they go to the ovaries 216 00:12:07,920 --> 00:12:11,840 Speaker 4: where follicles have been developing. And so the follicles, probably 217 00:12:11,880 --> 00:12:14,160 Speaker 4: dozens of them in many cases, are about half an 218 00:12:14,160 --> 00:12:16,520 Speaker 4: inch long, and they put the needle in there and 219 00:12:16,559 --> 00:12:18,520 Speaker 4: they aspirate the egg out, so they sort of like 220 00:12:18,559 --> 00:12:20,080 Speaker 4: suck it out, and they pull these out and they 221 00:12:20,120 --> 00:12:21,040 Speaker 4: put them into a dish. 222 00:12:21,640 --> 00:12:23,880 Speaker 5: It's usually quite quick. It's over in about ten minutes. 223 00:12:24,600 --> 00:12:27,680 Speaker 3: The girl says she woke up from the procedure feeling woozy. 224 00:12:28,240 --> 00:12:31,120 Speaker 3: She was in pain, her stomach hurt, and she was 225 00:12:31,160 --> 00:12:36,000 Speaker 3: alone theater. 226 00:12:38,320 --> 00:12:41,200 Speaker 4: When she comes to she's like, nobody's there, the doctor's gone, 227 00:12:41,200 --> 00:12:42,040 Speaker 4: nobody's talking to me. 228 00:12:42,400 --> 00:12:46,839 Speaker 3: Just make it. Man says thirty, yeah, Tombulnkan giant. 229 00:12:48,080 --> 00:12:49,679 Speaker 4: She sees a nurse She's like, can I go and 230 00:12:49,760 --> 00:12:51,959 Speaker 4: the nurse's like, yeah, sure, So she gets up and 231 00:12:52,040 --> 00:12:55,240 Speaker 4: leaves and she walks out of the clinic. Anita goes 232 00:12:55,280 --> 00:12:58,840 Speaker 4: to an atm nearby, pulls out fifteen thousand rupees, hands 233 00:12:58,880 --> 00:13:01,560 Speaker 4: it to Sema. Seema makes her cut, gives eleven thy 234 00:13:01,640 --> 00:13:04,280 Speaker 4: six hundred rupees to the girl and goes immediately to 235 00:13:04,320 --> 00:13:04,880 Speaker 4: buy her phone. 236 00:13:05,400 --> 00:13:08,040 Speaker 3: After the girl bought her phone, she tried to hide 237 00:13:08,080 --> 00:13:11,319 Speaker 3: it from her mom, but her secret didn't stay secret 238 00:13:11,600 --> 00:13:18,120 Speaker 3: for long. Coming up how that secret was exposed and 239 00:13:18,200 --> 00:13:20,520 Speaker 3: how the girl's story connects to some of the biggest 240 00:13:20,640 --> 00:13:37,719 Speaker 3: financial players in the world, Bloomberg's Natalie Obico Pearson went 241 00:13:37,800 --> 00:13:40,280 Speaker 3: to see the clinic where the girl's eggs were retrieved. 242 00:13:41,120 --> 00:13:43,040 Speaker 3: It's part of a chain which is one of the 243 00:13:43,080 --> 00:13:47,960 Speaker 3: biggest in India. It's called Nova IVF Fertility. 244 00:13:49,480 --> 00:13:52,040 Speaker 4: Walking up to the Nova IVF clinic. 245 00:13:53,600 --> 00:13:56,360 Speaker 3: It's on a busy street in Varanasi, a city of 246 00:13:56,440 --> 00:13:58,760 Speaker 3: a few million on the banks of the Ganges River 247 00:13:58,960 --> 00:14:02,800 Speaker 3: in northern India. From the outside, the clinic looks more 248 00:14:03,000 --> 00:14:04,160 Speaker 3: office building than. 249 00:14:04,120 --> 00:14:08,280 Speaker 4: Hospital, big glass building with sort of blue reflective windows, 250 00:14:08,400 --> 00:14:11,960 Speaker 4: modern and there's like an eyeglasses shop on the bottom, 251 00:14:12,040 --> 00:14:15,720 Speaker 4: which is selling designer sunglasses for more than the girl 252 00:14:15,800 --> 00:14:16,920 Speaker 4: got paid for eggs. 253 00:14:17,400 --> 00:14:20,760 Speaker 3: The building is also covered with billboards. Our colleague at 254 00:14:20,800 --> 00:14:23,920 Speaker 3: VET Pelipu helped Natalie translate them from Hindi. 255 00:14:24,560 --> 00:14:26,800 Speaker 4: West to become a mother and father. 256 00:14:28,400 --> 00:14:32,800 Speaker 2: Stock your Jourdan, your mother and father road scot your journey. 257 00:14:32,560 --> 00:14:37,000 Speaker 3: To become another product here. Nova IVF has had some 258 00:14:37,240 --> 00:14:38,400 Speaker 3: big name investors. 259 00:14:38,960 --> 00:14:43,720 Speaker 4: Its growth was funded by Western financiers. You know, Goldman 260 00:14:43,840 --> 00:14:46,240 Speaker 4: Sachs was one of its very early investors. It was 261 00:14:46,320 --> 00:14:50,320 Speaker 4: set up by a US based private equity firm. Today 262 00:14:50,640 --> 00:14:53,920 Speaker 4: it's owned by TPG, another private equity firm. 263 00:14:54,080 --> 00:14:57,160 Speaker 3: The rush to cash in on India's fertility industry has 264 00:14:57,280 --> 00:14:58,480 Speaker 3: ramped up in recent years. 265 00:14:58,880 --> 00:15:02,120 Speaker 4: I'd say in the last maybe like five to eight 266 00:15:02,240 --> 00:15:04,600 Speaker 4: years or so five to ten years. That's where you've 267 00:15:04,600 --> 00:15:07,640 Speaker 4: seen sort of like the really big money, really sophisticated 268 00:15:07,680 --> 00:15:12,600 Speaker 4: investors coming in, so Silicon Valley investors, private equity firms, 269 00:15:13,160 --> 00:15:17,960 Speaker 4: banks coming in and taking stakes in local IVF chains, 270 00:15:18,080 --> 00:15:18,960 Speaker 4: expanding them. 271 00:15:19,360 --> 00:15:22,760 Speaker 3: All of that business has created more competition among clinics 272 00:15:23,400 --> 00:15:27,560 Speaker 3: and also among agents, and that's actually how the girl's 273 00:15:27,600 --> 00:15:29,119 Speaker 3: secret was exposed. 274 00:15:29,600 --> 00:15:32,760 Speaker 4: Seema and another agent end up getting into a quarrel 275 00:15:32,880 --> 00:15:35,440 Speaker 4: on the street over the girl. The other agent is 276 00:15:35,480 --> 00:15:38,920 Speaker 4: accusing Sema of having stolen a client, and one of 277 00:15:39,000 --> 00:15:42,920 Speaker 4: the girl's relatives overhears this quarrel, and so word goes 278 00:15:42,960 --> 00:15:45,640 Speaker 4: back through her family, eventually back to her mom, and 279 00:15:45,720 --> 00:15:48,200 Speaker 4: her mom confronts the girl and says, sees the phone 280 00:15:48,440 --> 00:15:50,880 Speaker 4: and that's when things sort of like explode. 281 00:15:51,760 --> 00:15:52,160 Speaker 1: How cool. 282 00:15:55,880 --> 00:15:58,320 Speaker 3: The girl's mother says that she was angry when she 283 00:15:58,400 --> 00:16:05,920 Speaker 3: found out what her daughter had done sublo, but since 284 00:16:06,000 --> 00:16:08,680 Speaker 3: everyone was already starting to gossip, she didn't want to 285 00:16:08,720 --> 00:16:18,240 Speaker 3: pile on. She says, what had been lost was lost, 286 00:16:19,280 --> 00:16:22,360 Speaker 3: so as a mother, her job was to make sure 287 00:16:22,640 --> 00:16:23,840 Speaker 3: something was done about it. 288 00:16:24,320 --> 00:16:27,880 Speaker 4: So the mom confronts Sema. She ends up filing a 289 00:16:27,960 --> 00:16:29,360 Speaker 4: police complaint. 290 00:16:30,080 --> 00:16:33,880 Speaker 3: The girl's mother says even now she doesn't fully understand 291 00:16:34,000 --> 00:16:41,520 Speaker 3: what was done to her daughter, and Natalie says her 292 00:16:41,600 --> 00:16:44,640 Speaker 3: confusion shows in that police complaint she filed. 293 00:16:47,480 --> 00:16:50,080 Speaker 4: When her mother first went to the police and filed 294 00:16:50,120 --> 00:16:53,200 Speaker 4: the complaint, she wrote down something like, you know, something 295 00:16:53,280 --> 00:16:56,720 Speaker 4: has happened to my daughter. She's still a virgin, like 296 00:16:56,920 --> 00:16:59,760 Speaker 4: please help me, this is terrible and so it you know, 297 00:17:00,120 --> 00:17:04,320 Speaker 4: egg donations sort of get conflated with sex and maybe 298 00:17:04,400 --> 00:17:07,119 Speaker 4: sexual assault and the kind of implications that can have 299 00:17:07,359 --> 00:17:11,480 Speaker 4: for a woman in Indian society. Violation a violation, and 300 00:17:11,920 --> 00:17:15,639 Speaker 4: it sparked the kind of questions that really are are 301 00:17:15,840 --> 00:17:18,920 Speaker 4: are the worst question that an Indian woman can face, 302 00:17:19,280 --> 00:17:21,159 Speaker 4: is you know, is she going to be able to 303 00:17:21,240 --> 00:17:26,240 Speaker 4: have children? So people don't understand this procedure, they're asking 304 00:17:26,359 --> 00:17:28,359 Speaker 4: in the streets, their gossiping, is she ever going to 305 00:17:28,359 --> 00:17:29,280 Speaker 4: be able to have kids? 306 00:17:29,480 --> 00:17:31,680 Speaker 3: The complaint sparked an investigation. 307 00:17:32,200 --> 00:17:35,040 Speaker 5: The medical officers report was pretty explicit. 308 00:17:35,240 --> 00:17:39,040 Speaker 4: It said this could not have happened without the cooperation 309 00:17:39,680 --> 00:17:43,199 Speaker 4: of the clinic and its employees, and yet police never 310 00:17:43,280 --> 00:17:46,960 Speaker 4: seemed to follow that lead. They arrested the five low 311 00:17:47,080 --> 00:17:51,600 Speaker 4: level people and then never ended up going back to 312 00:17:52,040 --> 00:17:54,560 Speaker 4: the clinic and holding any of them accountable. 313 00:17:54,800 --> 00:17:57,679 Speaker 3: Seema was among those arrested and has since been released 314 00:17:57,720 --> 00:18:01,040 Speaker 3: on bail. Anita, the woman who helped secure the girl's 315 00:18:01,119 --> 00:18:05,119 Speaker 3: fake ID, was also arrested, along with three men. The 316 00:18:05,240 --> 00:18:08,560 Speaker 3: doctors and staff at Nova IVF, the clinic that performed 317 00:18:08,600 --> 00:18:10,840 Speaker 3: the retrieval, have not been named in the case. 318 00:18:11,200 --> 00:18:14,000 Speaker 4: What Nova said to us, they said look like We 319 00:18:14,160 --> 00:18:18,560 Speaker 4: do our best to ensure that cases like this don't happen, 320 00:18:18,680 --> 00:18:21,000 Speaker 4: but to some degree our hands are tied, like it's 321 00:18:21,119 --> 00:18:24,800 Speaker 4: not our expertise to try and weed out fake IDs. 322 00:18:25,320 --> 00:18:27,600 Speaker 4: This is where the government has to bring in biometric 323 00:18:28,040 --> 00:18:31,000 Speaker 4: verifications so that this kind of thing doesn't happen, and 324 00:18:31,119 --> 00:18:33,040 Speaker 4: we would be the first people to adopt it. 325 00:18:33,440 --> 00:18:36,440 Speaker 3: Goldman Sachs is no longer an investor in Nova IVF 326 00:18:36,600 --> 00:18:40,359 Speaker 3: and a client to comment. TPG, the private equity group 327 00:18:40,480 --> 00:18:44,640 Speaker 3: currently backing the clinic, deferred comment to Nova. Nova also 328 00:18:44,720 --> 00:18:47,560 Speaker 3: said that they've been lobbying the Indian government to mandate 329 00:18:47,680 --> 00:18:51,879 Speaker 3: more stringent ways of verifying donors' identities and ages, but 330 00:18:52,000 --> 00:18:57,000 Speaker 3: they say the government has not responded. After word got 331 00:18:57,080 --> 00:18:59,480 Speaker 3: out in the girl's community that she had sold her 332 00:18:59,560 --> 00:19:03,439 Speaker 3: eggs to buy a phone, the stigma she faced was severe. 333 00:19:04,080 --> 00:19:13,600 Speaker 3: Comment The girl says there are people who call her names, 334 00:19:13,920 --> 00:19:21,840 Speaker 3: who scorn and taunt her. Government questions why people are 335 00:19:21,920 --> 00:19:28,840 Speaker 3: only blaming her and not blaming the adults involved. Nation 336 00:19:33,600 --> 00:19:50,760 Speaker 3: blamed it. Blame this is, she says. People keep talking 337 00:19:50,840 --> 00:19:53,360 Speaker 3: about it, but no one asks her why she did 338 00:19:53,600 --> 00:19:57,040 Speaker 3: what she did. She says she knows she made a mistake. 339 00:20:00,280 --> 00:20:02,439 Speaker 3: Napos Gislio, are you. 340 00:20:04,240 --> 00:20:04,280 Speaker 1: He? 341 00:20:04,640 --> 00:20:05,960 Speaker 3: Eliza Nicols? 342 00:20:06,400 --> 00:20:08,880 Speaker 4: She had no idea what she was getting into. All 343 00:20:08,960 --> 00:20:11,560 Speaker 4: she wanted was a phone and it ended up having 344 00:20:12,400 --> 00:20:15,159 Speaker 4: these consequences that she never could have imagined. 345 00:20:15,359 --> 00:20:17,000 Speaker 5: So she's dropped out of school. 346 00:20:17,400 --> 00:20:20,440 Speaker 4: You know, in stigma in close knit communities like the 347 00:20:20,480 --> 00:20:22,840 Speaker 4: ones that she lives in is something very difficult to 348 00:20:23,000 --> 00:20:23,600 Speaker 4: escape from. 349 00:20:25,880 --> 00:20:29,320 Speaker 3: Natalie says, while the girl's story may seem extreme, it's 350 00:20:29,400 --> 00:20:32,639 Speaker 3: not that unusual in India, one of the world's largest 351 00:20:32,720 --> 00:20:36,639 Speaker 3: markets for donor eggs. But the same forces that swept 352 00:20:36,720 --> 00:20:40,600 Speaker 3: up the girl, great demand and great opportunity for profit 353 00:20:41,200 --> 00:20:45,000 Speaker 3: are not limited to India. They're present wherever the human 354 00:20:45,000 --> 00:20:48,240 Speaker 3: egg trade happens, and as the market has grown, so 355 00:20:48,440 --> 00:20:51,400 Speaker 3: has the potential for corruption and exploitation. 356 00:20:52,800 --> 00:20:58,040 Speaker 4: To me, fundamentally, it's about the commodification of women's body 357 00:20:58,560 --> 00:21:04,240 Speaker 4: and the commercialization of production. So big investors are in 358 00:21:04,400 --> 00:21:07,440 Speaker 4: this for the money, and we know the kind of 359 00:21:07,720 --> 00:21:11,080 Speaker 4: returns that private equity tends to expect. 360 00:21:10,720 --> 00:21:11,720 Speaker 5: In their investments. 361 00:21:12,280 --> 00:21:15,200 Speaker 4: I think it's a story of what happens when you 362 00:21:15,320 --> 00:21:20,440 Speaker 4: have tremendous growth and tremendous demand without guardrails. Just the 363 00:21:20,640 --> 00:21:25,080 Speaker 4: infrastructure and the regulations and the ability to enforce is 364 00:21:25,200 --> 00:21:28,920 Speaker 4: not there in India to make sure that procedures like 365 00:21:29,040 --> 00:21:33,720 Speaker 4: this happen ethically. And I think that's something that I 366 00:21:33,960 --> 00:21:37,520 Speaker 4: want people to think about when they come away from 367 00:21:37,560 --> 00:21:40,399 Speaker 4: the story. If you're ever in the position where you 368 00:21:41,080 --> 00:21:43,760 Speaker 4: need a donated egg, to think about where is that 369 00:21:43,920 --> 00:21:46,200 Speaker 4: coming from and how can you be sure that it 370 00:21:46,400 --> 00:21:47,600 Speaker 4: was sourced sustainably. 371 00:21:52,760 --> 00:21:55,879 Speaker 3: That was the first episode in The Human Egg Trade, 372 00:21:56,119 --> 00:21:59,200 Speaker 3: our special series about the booming global market for human 373 00:21:59,280 --> 00:22:02,480 Speaker 3: eggs and the people whose lives are swept up in it. 374 00:22:03,320 --> 00:22:05,840 Speaker 3: The next episode in the series takes us to Greece, 375 00:22:06,480 --> 00:22:09,600 Speaker 3: where this intense demand sets the stage for a crime 376 00:22:10,000 --> 00:22:11,720 Speaker 3: with profound consequences. 377 00:22:12,880 --> 00:22:18,080 Speaker 1: So Maria was lucky. She eventually did get pregnant and 378 00:22:18,119 --> 00:22:22,360 Speaker 1: she had a child. And last year the police asked 379 00:22:22,400 --> 00:22:24,800 Speaker 1: he had come down to the police station, and she 380 00:22:25,000 --> 00:22:28,359 Speaker 1: walked into the room and there were two police officers 381 00:22:28,520 --> 00:22:33,520 Speaker 1: and a third person who was a psychologist. And when 382 00:22:33,640 --> 00:22:37,520 Speaker 1: Maria saw the psychologist, her heart sunk. She knew she 383 00:22:37,640 --> 00:22:39,640 Speaker 1: was about to get bad news. They sat her down 384 00:22:39,880 --> 00:22:43,600 Speaker 1: and they broke the news to her that their investigation 385 00:22:44,320 --> 00:22:47,160 Speaker 1: had found that her eggs had been stolen. 386 00:22:54,080 --> 00:22:56,920 Speaker 3: For more in depth reporting on how the human egg 387 00:22:56,960 --> 00:23:00,760 Speaker 3: has become a precious resource traded around the world, read 388 00:23:00,960 --> 00:23:04,480 Speaker 3: The Egg, an investigation by Bloomberg BusinessWeek and The Big Take, 389 00:23:04,600 --> 00:23:08,360 Speaker 3: which spans five continents and eleven countries. You can read 390 00:23:08,440 --> 00:23:11,800 Speaker 3: The Egg on the Bloomberg terminal, Bloomberg dot Com or 391 00:23:11,880 --> 00:23:14,960 Speaker 3: in the January twenty twenty five issue of Bloomberg BusinessWeek. 392 00:23:15,640 --> 00:23:18,840 Speaker 3: This is The Big Take from Bloomberg News. I'm Sarah Holder. 393 00:23:19,359 --> 00:23:22,480 Speaker 3: This episode was produced by David Fox. It was edited 394 00:23:22,560 --> 00:23:26,520 Speaker 3: by Tracy Samuelson, Lauren Etter, and Ken Armstrong. It was 395 00:23:26,600 --> 00:23:29,720 Speaker 3: fact checked by Adriana Tapia and mixed and sound designed 396 00:23:29,800 --> 00:23:34,280 Speaker 3: by Alex Sugia and Jessica Beck. Special thanks to Ed Vett, Pealipu, 397 00:23:34,560 --> 00:23:40,119 Speaker 3: Vicki Fung Need Two, Suda mohandas Bloomberg Originals, and Pratish Narayanan. 398 00:23:40,640 --> 00:23:43,800 Speaker 3: Our senior producer is Naomi shaven, Our senior editor is 399 00:23:43,840 --> 00:23:48,720 Speaker 3: Elizabeth Ponso. Our executive producer is Nicole Beamsterrobor Sage Bauman 400 00:23:48,880 --> 00:23:52,160 Speaker 3: is Bloomberg's head of Podcasts. If you like this episode, 401 00:23:52,320 --> 00:23:54,920 Speaker 3: make sure to subscribe and review The Big Take wherever 402 00:23:55,000 --> 00:23:57,560 Speaker 3: you listen to podcasts. It helps people find the show. 403 00:23:58,440 --> 00:23:59,159 Speaker 3: Thanks for listening.