1 00:00:04,160 --> 00:00:07,200 Speaker 1: It's the big tape from Bloomberg News and I Heart Radio. 2 00:00:07,520 --> 00:00:11,959 Speaker 1: I'm West Cassova today. How can you tell if that 3 00:00:12,080 --> 00:00:15,080 Speaker 1: new pair of jeans you just bought is made with 4 00:00:15,320 --> 00:00:29,120 Speaker 1: forced labor? The rapid rise of fast fashion has created 5 00:00:29,240 --> 00:00:33,279 Speaker 1: a bottomless global appetite for trendy clothes that are so 6 00:00:33,440 --> 00:00:36,479 Speaker 1: cheap you can wear him a few times, shove him 7 00:00:36,479 --> 00:00:39,040 Speaker 1: in the back of a drawer, and go buy some 8 00:00:39,120 --> 00:00:43,600 Speaker 1: more without giving it a thought. Today's show is all 9 00:00:43,640 --> 00:00:46,200 Speaker 1: about why you might want to give a little thought 10 00:00:46,320 --> 00:00:50,760 Speaker 1: to what you're buying and how it's made. My colleague 11 00:00:50,800 --> 00:00:54,640 Speaker 1: Shared in Presso is an investigative reporter for Bloomberg. She 12 00:00:54,800 --> 00:00:58,480 Speaker 1: set out to find where the cotton enclosed from one 13 00:00:58,520 --> 00:01:03,400 Speaker 1: of the world's biggest brands really comes from. And she's 14 00:01:03,440 --> 00:01:06,200 Speaker 1: with me now, Shared And, thanks so much for being here. Hi, 15 00:01:06,400 --> 00:01:10,919 Speaker 1: thank you. You've written a big investigation of a large 16 00:01:10,959 --> 00:01:14,840 Speaker 1: retailer called she And. Can you tell us about this company? So? 17 00:01:15,040 --> 00:01:18,400 Speaker 1: She And is based in China. It is the largest 18 00:01:18,600 --> 00:01:22,880 Speaker 1: online only retailer in the world. It's valuation earlier this 19 00:01:22,959 --> 00:01:27,200 Speaker 1: year became greater than H and M and Zara combined. 20 00:01:27,280 --> 00:01:29,560 Speaker 1: So it's one of the most valuable startups in the 21 00:01:29,720 --> 00:01:34,440 Speaker 1: entire world, and it doesn't really have Althose had a 22 00:01:34,480 --> 00:01:36,679 Speaker 1: couple of pop up stores, it doesn't really have that 23 00:01:36,760 --> 00:01:38,680 Speaker 1: kind of brick and mortar you walk into a store 24 00:01:38,680 --> 00:01:42,920 Speaker 1: and make purchases. You go exclusively online really to buy 25 00:01:43,080 --> 00:01:46,479 Speaker 1: she and products, and they don't really have to rely 26 00:01:46,640 --> 00:01:49,560 Speaker 1: on the model of selling in retail stores. They can 27 00:01:49,600 --> 00:01:53,240 Speaker 1: just appeal to people through social media, TikTok everywhere like that, 28 00:01:53,360 --> 00:01:56,440 Speaker 1: and that's how people through the whole social media phenomenon 29 00:01:56,800 --> 00:01:59,800 Speaker 1: have gotten to know the company, especially in America. So 30 00:01:59,840 --> 00:02:03,320 Speaker 1: with a fast fashion company, the clothes are changing all 31 00:02:03,360 --> 00:02:06,000 Speaker 1: the time and they're relatively inexpensive, so you can just 32 00:02:06,000 --> 00:02:08,280 Speaker 1: buy them and buy them and buy them without doing 33 00:02:08,280 --> 00:02:12,960 Speaker 1: too much thinking. That's right. It is kind of the 34 00:02:13,040 --> 00:02:15,919 Speaker 1: leader now in what's called fast fashion, where they turn 35 00:02:15,960 --> 00:02:18,920 Speaker 1: out a lot of fun, fast designs that kind of 36 00:02:18,919 --> 00:02:21,560 Speaker 1: pop out quickly and also fade very quickly. They're not 37 00:02:22,080 --> 00:02:26,440 Speaker 1: necessarily very well made. They fade quickly or fall apart quickly, 38 00:02:26,480 --> 00:02:28,720 Speaker 1: but that's okay because they're not in fashion for very long. 39 00:02:28,800 --> 00:02:31,519 Speaker 1: They just are kind of, you know, flash in the pan, 40 00:02:31,800 --> 00:02:35,440 Speaker 1: and then they're sort of meant to be disposable in 41 00:02:35,480 --> 00:02:39,240 Speaker 1: a way. And this company has risen very quickly to 42 00:02:39,320 --> 00:02:42,720 Speaker 1: become super popular, and they sell clothes all around the world. 43 00:02:43,080 --> 00:02:47,360 Speaker 1: So their global business is about five billion dollars total. 44 00:02:47,400 --> 00:02:50,280 Speaker 1: About a third of that eight billion dollars a year 45 00:02:50,960 --> 00:02:54,519 Speaker 1: is estimated to be in the United States. Now, why 46 00:02:54,520 --> 00:02:56,600 Speaker 1: did you take a look at this company? What interested 47 00:02:56,680 --> 00:02:59,720 Speaker 1: you about them? So for a long time? Because she 48 00:03:00,680 --> 00:03:04,239 Speaker 1: is from China operates in China. They have been accused 49 00:03:04,480 --> 00:03:09,000 Speaker 1: of using labor from the western region of China called 50 00:03:09,080 --> 00:03:11,399 Speaker 1: shin Jang, And this would be a big deal because 51 00:03:11,880 --> 00:03:15,000 Speaker 1: China's harsh treatment of millions of weaker Muslims who live 52 00:03:15,040 --> 00:03:18,200 Speaker 1: in Jinjiang has been all over the news. The United 53 00:03:18,240 --> 00:03:22,640 Speaker 1: States and other Western countries have accused China of repressing 54 00:03:22,760 --> 00:03:27,040 Speaker 1: and imprisoning leaguers and other ethnic minorities, and they also 55 00:03:27,040 --> 00:03:30,760 Speaker 1: accused them of carrying out a policy of forced labor, 56 00:03:31,280 --> 00:03:35,839 Speaker 1: including harvesting cotton. China should say strongly denies this now 57 00:03:35,880 --> 00:03:41,000 Speaker 1: because roughly of China's cotton comes from that region, any 58 00:03:41,040 --> 00:03:46,800 Speaker 1: retailer that is using cotton from China is essentially thought 59 00:03:46,880 --> 00:03:51,240 Speaker 1: to be using the product of forced labor. And in fact, 60 00:03:51,680 --> 00:03:54,560 Speaker 1: the US government passed a law last year. It was 61 00:03:54,600 --> 00:03:58,119 Speaker 1: a regulation became a law this year, basically banning all 62 00:03:58,200 --> 00:04:02,160 Speaker 1: products from Shinjang. President Biden has passed a new law 63 00:04:02,240 --> 00:04:05,760 Speaker 1: banning goods from China's in Young Region unless companies can 64 00:04:05,800 --> 00:04:08,760 Speaker 1: prove they aren't made with spots labor. China's and ounced 65 00:04:08,800 --> 00:04:12,360 Speaker 1: retaliate wory sanctions against US officials and a Canadian lawmaker 66 00:04:12,720 --> 00:04:16,320 Speaker 1: as the row over alleged human rights abuses in Jinjiang 67 00:04:16,640 --> 00:04:19,680 Speaker 1: escalates the sanction individual. But the accusation against she and 68 00:04:19,839 --> 00:04:23,440 Speaker 1: is of course, because there is so much of Chinese 69 00:04:23,480 --> 00:04:26,880 Speaker 1: cotton supply comes from Shinjang. It has to be from there, 70 00:04:26,920 --> 00:04:29,160 Speaker 1: but no one was ever able to prove it before. 71 00:04:29,440 --> 00:04:32,720 Speaker 1: So since the law was passed, I decided, well, maybe 72 00:04:32,760 --> 00:04:34,920 Speaker 1: there's a way to test it and find out for sure. 73 00:04:35,360 --> 00:04:37,640 Speaker 1: How did you go about doing that? I originally wanted 74 00:04:37,680 --> 00:04:39,919 Speaker 1: to try to find a laboratory that would do this 75 00:04:40,040 --> 00:04:43,840 Speaker 1: kind of testing, and I tried one big name in 76 00:04:43,880 --> 00:04:46,440 Speaker 1: the industry is based in the UK. I tried them first. 77 00:04:46,440 --> 00:04:49,359 Speaker 1: They're called Rattine. I contacted or attain. At first they 78 00:04:49,400 --> 00:04:52,080 Speaker 1: seemed receptive to doing the test, and then after a 79 00:04:52,120 --> 00:04:54,200 Speaker 1: little while they came back to me, and they said, oh, 80 00:04:54,240 --> 00:04:56,800 Speaker 1: you know what, never mind, we are now under contract 81 00:04:56,880 --> 00:04:58,680 Speaker 1: with she and and it would be a conflict of 82 00:04:58,720 --> 00:05:00,760 Speaker 1: interest now to test it, are you? So then it 83 00:05:00,800 --> 00:05:04,240 Speaker 1: took me a little while longer. I found another testing 84 00:05:04,360 --> 00:05:08,800 Speaker 1: lab in Germany. That lab said we can test it 85 00:05:08,839 --> 00:05:11,800 Speaker 1: for you if you can obtain a sample of cotton 86 00:05:11,839 --> 00:05:14,159 Speaker 1: from Shinjang, we can do a matching test whether it 87 00:05:14,200 --> 00:05:18,120 Speaker 1: matches or not. And once that company agreed to do 88 00:05:18,120 --> 00:05:21,040 Speaker 1: the testing for us, I went online, ordered some Shin products, 89 00:05:21,400 --> 00:05:24,760 Speaker 1: obtain a sample of cotton from Shinjang, and sent both 90 00:05:24,800 --> 00:05:28,120 Speaker 1: of those to the laboratory in Germany. And where did 91 00:05:28,120 --> 00:05:33,360 Speaker 1: you find? The way that the lab works is they 92 00:05:33,400 --> 00:05:39,120 Speaker 1: test the ratios of three elements. They test carbon, oxygen, 93 00:05:39,800 --> 00:05:45,679 Speaker 1: and hydrogen. The ratios of those isotopes in the cotton 94 00:05:45,720 --> 00:05:49,440 Speaker 1: fibers can tell you where the cotton was grown. So 95 00:05:49,480 --> 00:05:52,560 Speaker 1: it's unlike DNA testing. DNA testing will tell you the 96 00:05:52,640 --> 00:05:57,080 Speaker 1: origin for example someone's you know, DNA will tell them 97 00:05:57,120 --> 00:06:00,480 Speaker 1: that I have European ancestry, for example, but it wouldn't 98 00:06:00,520 --> 00:06:03,040 Speaker 1: tell you that I grew up in America. So cotton 99 00:06:03,080 --> 00:06:05,880 Speaker 1: ice tip testing does tell you where the cotton grew up. 100 00:06:05,920 --> 00:06:10,280 Speaker 1: Because it's measuring the levels of oxygen, for example, that 101 00:06:10,360 --> 00:06:13,320 Speaker 1: can tell you the altitude at which the cotton was grown, 102 00:06:13,760 --> 00:06:16,520 Speaker 1: or for example, the amount of water that was used, 103 00:06:16,880 --> 00:06:19,560 Speaker 1: the fertilizer that was in the soil, contents of the 104 00:06:19,640 --> 00:06:24,000 Speaker 1: soil as well. So when you do that kind of 105 00:06:24,279 --> 00:06:28,599 Speaker 1: ratio testing, you get something that's like a fingerprint. So 106 00:06:29,200 --> 00:06:32,000 Speaker 1: a fingerprint has like a seven point match or nine 107 00:06:32,000 --> 00:06:33,800 Speaker 1: point match somebody like that. You can do the same 108 00:06:33,839 --> 00:06:37,400 Speaker 1: thing with these ice tip ratios in the cotton fibers. 109 00:06:38,120 --> 00:06:41,320 Speaker 1: And so you sent it off. They gave you this 110 00:06:41,680 --> 00:06:46,200 Speaker 1: lab test, and the lab test said the she and 111 00:06:46,279 --> 00:06:51,960 Speaker 1: cotton matched the Shinjang cotton within a range that tells 112 00:06:52,080 --> 00:06:58,680 Speaker 1: us that it does come from Shinjang. And now is 113 00:06:58,680 --> 00:07:01,840 Speaker 1: that true in each of the pieces of clothing that 114 00:07:01,960 --> 00:07:06,480 Speaker 1: you sent the lab to be tested. So I originally 115 00:07:06,560 --> 00:07:09,960 Speaker 1: sent six different garments over the course of a couple 116 00:07:10,000 --> 00:07:12,520 Speaker 1: of months earlier this year. It found that one of 117 00:07:12,560 --> 00:07:14,840 Speaker 1: the items that I had sent turned out not to 118 00:07:14,920 --> 00:07:16,480 Speaker 1: be cotton. After all I thought it was. It was 119 00:07:16,520 --> 00:07:18,120 Speaker 1: a T shirt. It looked like cotton. I should have 120 00:07:18,440 --> 00:07:21,840 Speaker 1: checked it more carefully before sending it. Another one was 121 00:07:21,920 --> 00:07:24,840 Speaker 1: more of a blend. It had cotton mixed with something 122 00:07:24,880 --> 00:07:27,640 Speaker 1: else and couldn't be determined. So four out of the 123 00:07:27,760 --> 00:07:30,880 Speaker 1: six were definitely within the range of Shinjen cotton. So 124 00:07:30,920 --> 00:07:34,920 Speaker 1: in addition to testing to get a fingerprint to match 125 00:07:35,000 --> 00:07:38,240 Speaker 1: to the sample, they can also match it to other 126 00:07:38,320 --> 00:07:40,640 Speaker 1: samples that they have from other countries. So, for example, 127 00:07:41,120 --> 00:07:44,280 Speaker 1: they have a fingerprint already from cotton that comes from Egypt, 128 00:07:44,800 --> 00:07:50,200 Speaker 1: and from the United States, and from Turkey and Africa 129 00:07:50,360 --> 00:07:53,320 Speaker 1: and other places they grow cotton. And what they determined 130 00:07:53,760 --> 00:07:58,080 Speaker 1: is with nine accuracy that cotton definitely doesn't come from 131 00:07:58,120 --> 00:08:01,120 Speaker 1: any other of those places, and it even does not 132 00:08:01,360 --> 00:08:04,560 Speaker 1: come from another region of China called Shandong, where they 133 00:08:04,640 --> 00:08:08,000 Speaker 1: also grew cotton. So it's it really does. All of 134 00:08:08,000 --> 00:08:11,080 Speaker 1: the evidence points to Snjang as the origin. You said 135 00:08:11,120 --> 00:08:14,280 Speaker 1: within arrange. What does arrange mean. It's a little bit 136 00:08:14,320 --> 00:08:16,720 Speaker 1: like an opinion poll where there's a plus or minus 137 00:08:16,800 --> 00:08:19,840 Speaker 1: one or two percent margin of error. But it is 138 00:08:19,920 --> 00:08:24,920 Speaker 1: virtually certain that this cotton comes from Shinjang. My conversation 139 00:08:24,960 --> 00:08:37,240 Speaker 1: with shared In Prasso continues after the break. Shared In 140 00:08:37,320 --> 00:08:40,400 Speaker 1: you found through your testing that this cotton almost certainly 141 00:08:40,800 --> 00:08:45,320 Speaker 1: came from Shinjang. What did she in the company say 142 00:08:45,360 --> 00:08:49,040 Speaker 1: when you brought them this evidence? So she and gave 143 00:08:49,080 --> 00:08:53,040 Speaker 1: us a statement in which they didn't deny that their 144 00:08:53,080 --> 00:08:57,320 Speaker 1: cotton comes from Shinjang, And then they also said that 145 00:08:57,400 --> 00:09:00,839 Speaker 1: they have these audits of their supply liars and they 146 00:09:00,920 --> 00:09:04,560 Speaker 1: ensure that all of their suppliers adhere to international standards 147 00:09:04,600 --> 00:09:07,520 Speaker 1: of labor. So the interesting thing about that is that 148 00:09:07,600 --> 00:09:13,079 Speaker 1: because the Chinese government doesn't consider that their work programs 149 00:09:13,120 --> 00:09:17,880 Speaker 1: that they are essentially forcing people from Shenjang to participate 150 00:09:18,000 --> 00:09:21,080 Speaker 1: in the Chinese government says that does not constitute force labor. 151 00:09:21,160 --> 00:09:24,160 Speaker 1: Then therefore there's no way that their suppliers could be 152 00:09:24,160 --> 00:09:27,200 Speaker 1: in violation of international labor standards. She and is in 153 00:09:27,240 --> 00:09:31,319 Speaker 1: a different position because if they admit that their cotton 154 00:09:31,360 --> 00:09:34,880 Speaker 1: comes from Shinjang, they obviously risk a consumer bath clash. 155 00:09:34,960 --> 00:09:38,000 Speaker 1: If they deny that any of it comes from Sinjang, 156 00:09:38,080 --> 00:09:41,960 Speaker 1: they risk angering the Chinese government. And in previous instances, 157 00:09:42,320 --> 00:09:44,959 Speaker 1: a group of concerned nationalists who were supported by the 158 00:09:45,040 --> 00:09:47,480 Speaker 1: Chinese government organized a boycott of H and M in 159 00:09:47,559 --> 00:09:49,360 Speaker 1: China because H and M said that they were no 160 00:09:49,400 --> 00:09:52,840 Speaker 1: longer going to use cotton from Sinjang, for example. So 161 00:09:53,320 --> 00:09:55,199 Speaker 1: she AND is kind of between a rock and her place. 162 00:09:56,000 --> 00:09:58,679 Speaker 1: But she AND didn't say that the cotton came from 163 00:09:58,720 --> 00:10:01,400 Speaker 1: some place else. No, she didn't deny that the cotton 164 00:10:01,440 --> 00:10:04,840 Speaker 1: comes from Shinjang. Now she AND is a big company, 165 00:10:04,880 --> 00:10:06,920 Speaker 1: and they're making a lot of clothing, but they're not 166 00:10:07,000 --> 00:10:11,400 Speaker 1: the only fast fashion brand or branding general that's using 167 00:10:11,800 --> 00:10:15,199 Speaker 1: cotton from all around the world. Are there other companies 168 00:10:15,240 --> 00:10:21,160 Speaker 1: in a similar position. So, because most of the brick 169 00:10:21,280 --> 00:10:25,480 Speaker 1: and mortar retailers in the United States chip their clothing 170 00:10:25,520 --> 00:10:30,040 Speaker 1: in bulk, they are subjected to reporting requirements from U 171 00:10:30,080 --> 00:10:32,720 Speaker 1: S Customs and Border Protection. So any time a big 172 00:10:32,720 --> 00:10:35,959 Speaker 1: retailers ships in a container of clothing from China or 173 00:10:36,040 --> 00:10:39,640 Speaker 1: from anywhere in the world, they have to disclose the origin, 174 00:10:39,720 --> 00:10:42,920 Speaker 1: the value, the weight, all kinds of things for customs declarations. 175 00:10:43,360 --> 00:10:46,920 Speaker 1: All these clothing heading into stores physical stories that you 176 00:10:47,040 --> 00:10:50,480 Speaker 1: walk into exactly. And so what we've been seeing is 177 00:10:50,520 --> 00:10:52,720 Speaker 1: a lot of the US retailers have now shifted. If 178 00:10:52,760 --> 00:10:54,480 Speaker 1: you go into GAP and you look at some of 179 00:10:54,520 --> 00:10:56,599 Speaker 1: the clothing labels, where does their clothing come from? You 180 00:10:56,720 --> 00:11:01,200 Speaker 1: see places more and more India, Turkey, Bangladesh, things like that, 181 00:11:01,320 --> 00:11:05,600 Speaker 1: other places that are now bigger suppliers of clothing than 182 00:11:05,640 --> 00:11:09,679 Speaker 1: they were in the past. And she and However, because 183 00:11:10,000 --> 00:11:14,000 Speaker 1: they ship only online, they send you your items that 184 00:11:14,040 --> 00:11:17,640 Speaker 1: you order in a package of plain white Polly envelope 185 00:11:17,880 --> 00:11:20,960 Speaker 1: that doesn't say she in on it. It arrives in 186 00:11:21,000 --> 00:11:24,200 Speaker 1: the mail like you know, your Amazon package, just like 187 00:11:24,240 --> 00:11:29,400 Speaker 1: anything else that is not subject to US customs declarations, 188 00:11:29,520 --> 00:11:32,520 Speaker 1: and therefore it is slipping under the radar. The U 189 00:11:32,559 --> 00:11:37,680 Speaker 1: S Customs Department does not have enough people too. I 190 00:11:37,720 --> 00:11:42,679 Speaker 1: think it's it's two point seven million such packages every 191 00:11:42,760 --> 00:11:46,280 Speaker 1: day arrive into the United States. I guess that raised 192 00:11:46,440 --> 00:11:49,080 Speaker 1: the question is there anything that the US government or 193 00:11:49,160 --> 00:11:53,400 Speaker 1: other governments are going to try to do about this? 194 00:11:53,840 --> 00:11:57,559 Speaker 1: You mentioned a law earlier about this very thing. Can 195 00:11:57,600 --> 00:12:01,320 Speaker 1: you describe what it is? So? The Weird Forced Labor 196 00:12:01,360 --> 00:12:05,760 Speaker 1: Protection Act was passed in December of last year. It 197 00:12:05,800 --> 00:12:11,360 Speaker 1: went into full force in June. Massachusetts Congressman Jim McGovern says, 198 00:12:11,400 --> 00:12:15,080 Speaker 1: if you bought something manufactured in a specific region of 199 00:12:15,120 --> 00:12:18,080 Speaker 1: northwest China, there's a good chance at least part of 200 00:12:18,080 --> 00:12:21,000 Speaker 1: it was made with slave labor. It's supposed to be 201 00:12:21,040 --> 00:12:25,600 Speaker 1: illegal for us to be able to uh utilize products 202 00:12:25,640 --> 00:12:28,560 Speaker 1: and that were the result of slave labor, and yet 203 00:12:28,559 --> 00:12:31,600 Speaker 1: the Chinese government is cleverly found ways around it. What 204 00:12:31,720 --> 00:12:34,280 Speaker 1: we can say, I guess is that because of the 205 00:12:34,280 --> 00:12:38,360 Speaker 1: way that the Chinese government has been treating the weaker people, essentially, 206 00:12:38,880 --> 00:12:43,680 Speaker 1: the US government considers that all products, anything that's made 207 00:12:43,679 --> 00:12:46,400 Speaker 1: from shinjang, anything that comes from Shinjang, is the result 208 00:12:46,800 --> 00:12:53,680 Speaker 1: of forced labor. Since the implementation of that law, we 209 00:12:53,760 --> 00:12:58,760 Speaker 1: have seen over a thousand shipments detained or confiscated or 210 00:12:58,840 --> 00:13:02,719 Speaker 1: held up in costs ums while the importers are being 211 00:13:02,720 --> 00:13:05,880 Speaker 1: asked for more information. Those are bulk shipments that are 212 00:13:05,920 --> 00:13:09,680 Speaker 1: being stopped. However, she and garments can continue to come 213 00:13:09,720 --> 00:13:12,560 Speaker 1: in because they come in by mail, and they come 214 00:13:12,600 --> 00:13:15,400 Speaker 1: in at a value that's less than what's required to 215 00:13:15,559 --> 00:13:19,280 Speaker 1: trigger reporting. They are still subject to US laws, but 216 00:13:19,760 --> 00:13:23,200 Speaker 1: the ability for the Customs Department or the U S 217 00:13:23,240 --> 00:13:26,240 Speaker 1: Mail to police those and to actually stop illegal stuff 218 00:13:26,280 --> 00:13:30,120 Speaker 1: coming in, which shinjen cotton is now illegal to import 219 00:13:30,160 --> 00:13:33,280 Speaker 1: into the United States, That means the stuff can still 220 00:13:33,280 --> 00:13:35,560 Speaker 1: get in because it's coming in under the radar. Is 221 00:13:35,559 --> 00:13:39,680 Speaker 1: there any movement now in Congress or with the Biden 222 00:13:39,720 --> 00:13:43,200 Speaker 1: administration to do something about this. Earlier this year, there 223 00:13:43,320 --> 00:13:46,480 Speaker 1: was a proposal that was passed as part of well 224 00:13:46,559 --> 00:13:51,080 Speaker 1: ultimately became the Bipartisan Innovation Act. There was a bill 225 00:13:51,080 --> 00:13:54,280 Speaker 1: in the House measure of the House version of that 226 00:13:54,360 --> 00:13:59,080 Speaker 1: Act to try to require all shipments from China to 227 00:13:59,600 --> 00:14:03,760 Speaker 1: requ our customs declarations, and that would have effectively required 228 00:14:03,840 --> 00:14:06,520 Speaker 1: she and to be more transparent about what they're shipping 229 00:14:06,559 --> 00:14:10,480 Speaker 1: to the US, she And and everybody else, including packages 230 00:14:10,520 --> 00:14:13,560 Speaker 1: that are carried by Amazon. It would trigger a lot 231 00:14:13,640 --> 00:14:17,080 Speaker 1: of reporting requirements for UPS and FedEx and everybody else. 232 00:14:17,120 --> 00:14:20,200 Speaker 1: So that measure was not contained in the Senate version, 233 00:14:20,480 --> 00:14:24,280 Speaker 1: and the version that ultimately passed didn't carry that provision. 234 00:14:24,560 --> 00:14:26,920 Speaker 1: But there are some people in Congress who would like 235 00:14:27,000 --> 00:14:30,000 Speaker 1: to see anything that gets shipped from China to carry 236 00:14:30,440 --> 00:14:34,360 Speaker 1: a requirement for customs inspection and declaration. It's interesting to 237 00:14:34,400 --> 00:14:37,800 Speaker 1: note that China requires any items valued at more than 238 00:14:37,880 --> 00:14:41,360 Speaker 1: seven dollars to be reported to their customs, so they're 239 00:14:41,400 --> 00:14:45,240 Speaker 1: putting greater scrutiny on goods coming in than the United States. 240 00:14:45,360 --> 00:14:50,600 Speaker 1: Is goods from China coming to the US absolutely shared 241 00:14:50,680 --> 00:14:54,080 Speaker 1: in press. Thanks so much for joining me today. My pleasure. 242 00:14:54,160 --> 00:14:57,360 Speaker 1: Thank you. So, how can you tell if the clothes 243 00:14:57,400 --> 00:15:00,080 Speaker 1: that you're buying are coming from a good place? The 244 00:15:00,080 --> 00:15:10,960 Speaker 1: answer to that question after the break, Aisha Baron Black 245 00:15:11,040 --> 00:15:14,280 Speaker 1: joins me now from San Francisco. She is the founder 246 00:15:14,360 --> 00:15:17,960 Speaker 1: and CEO of Remick, which is a company that advocates 247 00:15:18,000 --> 00:15:22,200 Speaker 1: for fair pay and safe working conditions in the clothing industry. 248 00:15:22,280 --> 00:15:24,120 Speaker 1: I should thank so much for being here. Thank you 249 00:15:24,160 --> 00:15:26,520 Speaker 1: so much for having me, West, I'm delighted to be here. 250 00:15:27,040 --> 00:15:30,600 Speaker 1: I shall. We've been talking about the origins of cotton 251 00:15:30,840 --> 00:15:33,640 Speaker 1: that is used in a lot of fast fashion items 252 00:15:33,880 --> 00:15:36,400 Speaker 1: and how some of it is coming from Xin Jang 253 00:15:36,480 --> 00:15:40,480 Speaker 1: in China, and what a big problem that is. You 254 00:15:40,560 --> 00:15:44,560 Speaker 1: look at this all the time, the origins of the 255 00:15:44,600 --> 00:15:49,160 Speaker 1: materials that are used in clothing. How are you able 256 00:15:49,240 --> 00:15:54,040 Speaker 1: to find out whether the cotton and other materials used 257 00:15:54,080 --> 00:15:58,280 Speaker 1: in clothing is coming from good sources or not? You know, West, 258 00:15:58,320 --> 00:16:01,440 Speaker 1: this is such an important and complex question, which is 259 00:16:01,480 --> 00:16:04,320 Speaker 1: exactly why I found it Remake. You know, after spending 260 00:16:04,600 --> 00:16:07,840 Speaker 1: two decades working on the inside of the fashion industry, 261 00:16:07,960 --> 00:16:11,920 Speaker 1: I wanted everyday people to have an understanding of who's 262 00:16:11,960 --> 00:16:14,640 Speaker 1: making their clothes, where are they coming from what are 263 00:16:14,680 --> 00:16:18,480 Speaker 1: the human and environmental impacts, And the only way to 264 00:16:18,520 --> 00:16:22,720 Speaker 1: do it is really to come to independent watchdog organizations 265 00:16:22,800 --> 00:16:25,640 Speaker 1: like ours that are looking at realms and reams of 266 00:16:26,040 --> 00:16:30,200 Speaker 1: public information to a short traceability, because when it comes 267 00:16:30,240 --> 00:16:33,560 Speaker 1: to the fashion industry, the supply chain is so fragmented. 268 00:16:33,840 --> 00:16:37,080 Speaker 1: The only thing that your label shows is where the 269 00:16:37,120 --> 00:16:39,960 Speaker 1: final product was made, you know, not where the zips, 270 00:16:40,000 --> 00:16:42,520 Speaker 1: not where the buttons, certainly not all the way up 271 00:16:42,560 --> 00:16:46,120 Speaker 1: to the cotton supply chain. And so outside of really 272 00:16:46,160 --> 00:16:50,040 Speaker 1: trying to arm people with an understanding of these impacts, 273 00:16:50,080 --> 00:16:51,560 Speaker 1: a lot of the work that we do on the 274 00:16:51,560 --> 00:16:55,400 Speaker 1: back end is regulatory reform and getting governments to really 275 00:16:55,400 --> 00:16:58,800 Speaker 1: pay attention because it really is hard for us to 276 00:16:59,120 --> 00:17:02,320 Speaker 1: rely on mark based solutions to address some of these 277 00:17:02,400 --> 00:17:06,240 Speaker 1: human rights violations, like product coming from forced labor in 278 00:17:06,240 --> 00:17:08,800 Speaker 1: the shin Gen region. As I was just speaking to 279 00:17:09,000 --> 00:17:12,040 Speaker 1: share it in Presso who says that the rise of 280 00:17:12,080 --> 00:17:17,560 Speaker 1: fast fashion means people want clothes quickly, they want them cheap, 281 00:17:17,800 --> 00:17:21,160 Speaker 1: and they don't care as much how long they're gonna last. 282 00:17:23,880 --> 00:17:28,359 Speaker 1: Fast fashion is built on a model of overproduction with 283 00:17:28,440 --> 00:17:31,720 Speaker 1: the reliance on fossil fuel. Today we are making upwards 284 00:17:31,720 --> 00:17:34,400 Speaker 1: of a hundred billion units of clothes when we don't 285 00:17:34,440 --> 00:17:37,480 Speaker 1: even have eight billion people on the planet. And because 286 00:17:37,560 --> 00:17:41,000 Speaker 1: fashion is made in such a throwaway fashion, most clothes 287 00:17:41,000 --> 00:17:43,640 Speaker 1: are thrown away within the first day of production. And 288 00:17:43,720 --> 00:17:47,080 Speaker 1: so the environmental impacts of this some massive. You know, 289 00:17:47,160 --> 00:17:51,159 Speaker 1: fashion today emits upwards of four percent of carbon emissions. 290 00:17:51,200 --> 00:17:54,679 Speaker 1: That's more than the entire economies of France, Germany, and 291 00:17:54,720 --> 00:17:57,879 Speaker 1: the United Kingdom combined. And one of the things that 292 00:17:57,920 --> 00:18:01,320 Speaker 1: we look at in our accountabile anty ratings for companies 293 00:18:01,400 --> 00:18:05,119 Speaker 1: is brand's own professed goals when it comes to science 294 00:18:05,119 --> 00:18:08,199 Speaker 1: based targets to address their climate impacts. And because of 295 00:18:08,240 --> 00:18:12,160 Speaker 1: this overproduction, there are nowhere close to meeting those climate targets. 296 00:18:12,480 --> 00:18:14,880 Speaker 1: And then there's the human side, right, this is an 297 00:18:14,920 --> 00:18:19,159 Speaker 1: industry that hires upwards of seventy million people, mostly women 298 00:18:19,200 --> 00:18:23,080 Speaker 1: of color, that work in humane hours, making poverty wages 299 00:18:23,440 --> 00:18:27,520 Speaker 1: not enough to live in because of the pace of production. 300 00:18:27,840 --> 00:18:30,960 Speaker 1: So fashion really is one of the biggest climate and 301 00:18:31,080 --> 00:18:34,400 Speaker 1: gender justice issues of our time because of this reliance 302 00:18:34,480 --> 00:18:38,600 Speaker 1: on ultra cheap, throw away goods. So here I am, 303 00:18:38,800 --> 00:18:41,320 Speaker 1: I'm a consumer. I have a lot of choices of 304 00:18:41,359 --> 00:18:43,760 Speaker 1: where I can buy my clothes. I want to do 305 00:18:43,800 --> 00:18:46,040 Speaker 1: the right thing to make sure that the origins of 306 00:18:46,080 --> 00:18:48,760 Speaker 1: the cotton and other materials came from a good place, 307 00:18:48,840 --> 00:18:51,280 Speaker 1: that the people who made the clothes are being well 308 00:18:51,400 --> 00:18:54,840 Speaker 1: paid and not mistreated. How in the world am I 309 00:18:54,840 --> 00:18:58,320 Speaker 1: supposed to actually know whether or not my clothes I 310 00:18:58,320 --> 00:19:00,359 Speaker 1: can feel good about them? You know, Wes, I have 311 00:19:00,560 --> 00:19:04,040 Speaker 1: so much empathy for the average person trying to understand 312 00:19:04,240 --> 00:19:06,919 Speaker 1: what's in their food, what's in their clothes, because this 313 00:19:06,960 --> 00:19:10,600 Speaker 1: becomes very complex, very quickly. And so this is the 314 00:19:10,720 --> 00:19:14,040 Speaker 1: founding story of Remake. You know, on our website Remake 315 00:19:14,119 --> 00:19:16,680 Speaker 1: dot world, you can come and visit and know that 316 00:19:16,760 --> 00:19:19,840 Speaker 1: as an industry watchdog, we take no money from the 317 00:19:19,920 --> 00:19:23,000 Speaker 1: industry and we are really here to arm you as 318 00:19:23,080 --> 00:19:25,879 Speaker 1: everyday people, to come to our side. Look up your 319 00:19:25,880 --> 00:19:30,840 Speaker 1: favorite brands and see the human rights records, their environmental impacts. 320 00:19:30,960 --> 00:19:33,520 Speaker 1: And we also make it very easy for everyday people 321 00:19:33,760 --> 00:19:36,600 Speaker 1: to write to their favorite brands, to engage with them 322 00:19:36,600 --> 00:19:41,600 Speaker 1: and say hey, I need you to do better. So 323 00:19:41,920 --> 00:19:44,639 Speaker 1: on your website you can go and look up brands 324 00:19:44,680 --> 00:19:47,720 Speaker 1: and you can see actually an accountability score. How are 325 00:19:47,800 --> 00:19:51,400 Speaker 1: you actually measuring this? So the way that we measure 326 00:19:51,480 --> 00:19:55,000 Speaker 1: brands and retailers, all your beloved companies, whether Gap or 327 00:19:55,119 --> 00:19:59,320 Speaker 1: Levi's a Walmart. We look at first of all, traceability, 328 00:19:59,600 --> 00:20:01,920 Speaker 1: you know, how much is the brand telling us all 329 00:20:01,960 --> 00:20:04,800 Speaker 1: the way down to the farm where the product is made. 330 00:20:05,240 --> 00:20:07,720 Speaker 1: We then look at wages and well being to make 331 00:20:07,760 --> 00:20:11,800 Speaker 1: sure that the people behind the product are moving towards 332 00:20:12,000 --> 00:20:15,199 Speaker 1: making a pay that would assure life of dignity. We 333 00:20:15,240 --> 00:20:18,080 Speaker 1: also take a really hard look at commercial practices because 334 00:20:18,119 --> 00:20:21,520 Speaker 1: so much of how quickly and how cheaply a brand 335 00:20:21,560 --> 00:20:25,040 Speaker 1: wants products results in the impacts that we're contending with. 336 00:20:25,400 --> 00:20:28,199 Speaker 1: You know, as we were earlier, talking raw materials has 337 00:20:28,240 --> 00:20:32,560 Speaker 1: become increasingly important because we want fashion to divest from 338 00:20:32,680 --> 00:20:35,960 Speaker 1: using fossil fuel, but also assuring that when it comes 339 00:20:36,040 --> 00:20:39,159 Speaker 1: to the cotton supply chain, it's not made with forced labor. 340 00:20:39,560 --> 00:20:42,880 Speaker 1: We also look at environmental justice concerns. You know, are 341 00:20:43,000 --> 00:20:47,000 Speaker 1: they looking at responsible transitions? Are they greenwashing? Are they 342 00:20:47,280 --> 00:20:51,720 Speaker 1: actually reducing their overall climate impacts? And finally we look 343 00:20:51,760 --> 00:20:56,280 Speaker 1: at governance. You know, is this a racially diverse makeup 344 00:20:56,400 --> 00:20:59,439 Speaker 1: at the board level, at a management level, is this 345 00:20:59,520 --> 00:21:02,679 Speaker 1: company really look across all of these things? Because we 346 00:21:02,800 --> 00:21:05,320 Speaker 1: think that is the best way to really push for 347 00:21:05,359 --> 00:21:09,000 Speaker 1: a more sustainable and ethical industry. Okay, so I want 348 00:21:09,040 --> 00:21:11,359 Speaker 1: to go buy a pair of jeans? How do I 349 00:21:11,400 --> 00:21:13,800 Speaker 1: go about doing it so that I can feel good 350 00:21:13,840 --> 00:21:16,800 Speaker 1: about the thing that I ultimately buy. So first I'd say, 351 00:21:16,840 --> 00:21:18,919 Speaker 1: do you wes do you really need another pair of jeans? 352 00:21:18,960 --> 00:21:21,040 Speaker 1: How many pairs of jeans do you have? Have you 353 00:21:21,080 --> 00:21:24,000 Speaker 1: looked in your closet lately? Perhaps there might be something 354 00:21:24,040 --> 00:21:26,440 Speaker 1: sitting at the back there that you can bring back out, 355 00:21:26,800 --> 00:21:29,000 Speaker 1: Because the best thing we can do is really do 356 00:21:29,080 --> 00:21:31,879 Speaker 1: not consume as much. Then if you say, hey, I 357 00:21:31,920 --> 00:21:34,679 Speaker 1: should in the pandemic, you know, I perhaps put on 358 00:21:34,720 --> 00:21:36,680 Speaker 1: a few pounds that really do need to buy another 359 00:21:36,680 --> 00:21:39,360 Speaker 1: pair of jeans? My next question would be is there 360 00:21:39,400 --> 00:21:42,960 Speaker 1: a local consignment shop in your neighborhood that you could 361 00:21:43,040 --> 00:21:47,400 Speaker 1: visit and you could buy something secondhand? Because again going 362 00:21:47,440 --> 00:21:51,000 Speaker 1: back to that hundred billion number, we're simply buying too 363 00:21:51,080 --> 00:21:53,439 Speaker 1: many clothes. We have too many pairs of jeans, So 364 00:21:53,520 --> 00:21:56,200 Speaker 1: could you buy it secondhand? And then if you come 365 00:21:56,200 --> 00:21:59,840 Speaker 1: back to say no, absolutely not, I want something that's new, 366 00:22:00,160 --> 00:22:02,720 Speaker 1: then you can look in our directory. There are smaller 367 00:22:02,720 --> 00:22:06,399 Speaker 1: companies like a newdy Jeans that is really committed to 368 00:22:06,480 --> 00:22:11,280 Speaker 1: living wages, to repair, to keeping their clothes in circulation longer. 369 00:22:11,560 --> 00:22:14,520 Speaker 1: So you could shop with some of the smaller sustainable brands. 370 00:22:14,680 --> 00:22:16,560 Speaker 1: So those would be the three steps. Do you really 371 00:22:16,560 --> 00:22:19,560 Speaker 1: need it? Can you buy it secondhand? If you cannot, 372 00:22:19,800 --> 00:22:22,679 Speaker 1: can you do a smaller company that's really trying to 373 00:22:22,680 --> 00:22:25,760 Speaker 1: be a disruptor in this space? I share Baron Blood. 374 00:22:25,760 --> 00:22:27,320 Speaker 1: Thanks so much for taking the time to talk to me. 375 00:22:27,600 --> 00:22:31,800 Speaker 1: Thank you, it's been a pleasure. You can read shared 376 00:22:31,840 --> 00:22:38,720 Speaker 1: Impresso's story about Sheen on Bloomberg dot com. Thanks for 377 00:22:38,840 --> 00:22:40,879 Speaker 1: listening to us here at the Big Tech. It's the 378 00:22:41,000 --> 00:22:45,120 Speaker 1: daily podcast from Bloomberg and I Heart Radio. For more 379 00:22:45,200 --> 00:22:48,160 Speaker 1: shows from my Heart Radio, visit the I Heart Radio 380 00:22:48,240 --> 00:22:53,480 Speaker 1: app podcast or wherever you listen. Read today's story and 381 00:22:53,520 --> 00:22:57,400 Speaker 1: subscribe to our daily newsletter at Bloomberg dot com. Slash 382 00:22:57,720 --> 00:23:01,200 Speaker 1: Big tag, and we'd love to hear from you. Email 383 00:23:01,320 --> 00:23:05,040 Speaker 1: us with questions or comments to Big Take at Bloomberg 384 00:23:05,160 --> 00:23:08,639 Speaker 1: dot net. The supervising producer of The Big Take is 385 00:23:08,760 --> 00:23:13,360 Speaker 1: Vicky Burgalina. Our senior producer is Katherine Fink. Our producer 386 00:23:13,400 --> 00:23:17,760 Speaker 1: is Rebecca Shasson. Our associate producer is Sam Gobauer. Hilda 387 00:23:17,800 --> 00:23:22,520 Speaker 1: Garcia is our engineer. Original music by Leo Sidrin. I'm 388 00:23:22,560 --> 00:23:26,160 Speaker 1: West Kasova. We'll be back tomorrow with another big take.