1 00:00:02,520 --> 00:00:06,160 Speaker 1: I'm Stacy Marie Ishmael, Managing editor of Crypto for Bloomberg News, 2 00:00:06,640 --> 00:00:10,160 Speaker 1: and this is Bloomberg Crypto, a daily Bloomberg I Heart podcast. 3 00:00:10,440 --> 00:00:17,479 Speaker 1: It's Wednesday, July six. I don't know about you, but 4 00:00:17,520 --> 00:00:20,840 Speaker 1: I'm the kind of person you might describe as extremely online, 5 00:00:21,440 --> 00:00:24,760 Speaker 1: and that's a description that's been true four years. I'm 6 00:00:24,800 --> 00:00:26,680 Speaker 1: part of a generation that grew up with the Internet, 7 00:00:27,080 --> 00:00:30,880 Speaker 1: with social networks that long predated Facebook or Twitter, and 8 00:00:30,960 --> 00:00:34,760 Speaker 1: with online identities that sometimes felt more authentic than my 9 00:00:34,840 --> 00:00:39,599 Speaker 1: offline self. Experimenting with who you are online, especially if 10 00:00:39,600 --> 00:00:42,720 Speaker 1: those identities are really different from how you present to 11 00:00:42,760 --> 00:00:47,080 Speaker 1: the analog world, that's not a totally new concept. Neil 12 00:00:47,120 --> 00:00:50,680 Speaker 1: Stevenson famously coined the phrase metaverse all the way back 13 00:00:50,720 --> 00:00:55,760 Speaker 1: in so it's no surprise that folks are using newish 14 00:00:55,840 --> 00:00:58,680 Speaker 1: technologies like crypto on the blockchain to play with their 15 00:00:58,680 --> 00:01:03,040 Speaker 1: self expression. But some folks are using blockchain enabled structures 16 00:01:03,080 --> 00:01:08,280 Speaker 1: to monetize these experiments with identity, including their gender presentation. 17 00:01:09,040 --> 00:01:11,880 Speaker 1: For more on crypto and identity, I'm joined by Bloomberg 18 00:01:11,880 --> 00:01:16,160 Speaker 1: reporter Emily Nicole and by Florence Smith Nichols, a PhD 19 00:01:16,240 --> 00:01:24,640 Speaker 1: student who researches, games, ethics, and artificial intelligence. Emily as 20 00:01:24,680 --> 00:01:27,080 Speaker 1: always a pleasure to have you on the podcast. Thanks 21 00:01:27,080 --> 00:01:30,720 Speaker 1: for having me. We are going to talk about crypto 22 00:01:30,800 --> 00:01:36,240 Speaker 1: and money and gender identity and gender fluidity and people 23 00:01:36,400 --> 00:01:39,800 Speaker 1: pretending to be other folks for the sake of monetizing 24 00:01:39,840 --> 00:01:42,400 Speaker 1: that identity. But before we get into some of that, 25 00:01:42,480 --> 00:01:45,720 Speaker 1: let's start with the crypto mechanics here. What are the 26 00:01:45,840 --> 00:01:49,080 Speaker 1: vehicles and what are the you know, what's the why 27 00:01:49,120 --> 00:01:53,920 Speaker 1: of why people are are doing this online? So I think, 28 00:01:54,120 --> 00:01:56,920 Speaker 1: as it always is in crypto, there are always people 29 00:01:56,960 --> 00:02:00,240 Speaker 1: seeking to find new ways to break boundary, is, to 30 00:02:01,120 --> 00:02:05,920 Speaker 1: establish new forms of hierarchies in crypto and ultimately make money. 31 00:02:06,360 --> 00:02:10,320 Speaker 1: And in this scenario or this universe, UM, we are 32 00:02:10,320 --> 00:02:15,240 Speaker 1: looking specifically at doubts, which are decentralized autonomous organizations. You 33 00:02:15,280 --> 00:02:17,880 Speaker 1: could think of them a little bit like companies, but 34 00:02:18,040 --> 00:02:21,640 Speaker 1: they operate almost exclusively on a code first basis, so 35 00:02:21,800 --> 00:02:25,560 Speaker 1: everything they do is voted on by the community, using 36 00:02:25,800 --> 00:02:29,560 Speaker 1: blockchain contracts to execute those functions once they pass or 37 00:02:29,639 --> 00:02:32,400 Speaker 1: get rejected. And they usually have a group of people 38 00:02:32,440 --> 00:02:36,119 Speaker 1: at the top rather than a single person. And there's 39 00:02:36,160 --> 00:02:38,560 Speaker 1: that that group is it's like a governance committee, it's 40 00:02:38,560 --> 00:02:41,080 Speaker 1: a board, it's a what what how does that work? Really? 41 00:02:41,680 --> 00:02:44,480 Speaker 1: So the people at the top might be the founders 42 00:02:44,639 --> 00:02:47,240 Speaker 1: of the project that we're talking about. They might be 43 00:02:47,560 --> 00:02:50,800 Speaker 1: people who have run their way up through the group 44 00:02:50,840 --> 00:02:53,040 Speaker 1: by contributing a lot to the to the community and 45 00:02:53,120 --> 00:02:55,799 Speaker 1: therefore have been decided that they have warranted themselves a 46 00:02:55,880 --> 00:02:59,359 Speaker 1: leadership position. But you won't have somebody who's the CEO 47 00:02:59,760 --> 00:03:01,920 Speaker 1: or you know, the CFO or whatever. You might have 48 00:03:01,960 --> 00:03:04,480 Speaker 1: somebody who's in charge of treasury, for example, to you 49 00:03:04,639 --> 00:03:06,959 Speaker 1: to use the crypto terminology, but you're not going to 50 00:03:07,040 --> 00:03:09,320 Speaker 1: have somebody who you know, like does the analysts call 51 00:03:09,400 --> 00:03:13,079 Speaker 1: at nine am after the earnings? So this is it's 52 00:03:13,080 --> 00:03:18,639 Speaker 1: a club and there are members and then there are 53 00:03:18,760 --> 00:03:22,160 Speaker 1: people who, you know, listening to their members most of 54 00:03:22,200 --> 00:03:25,120 Speaker 1: the time decide how what the club's priorities are, what 55 00:03:25,160 --> 00:03:27,280 Speaker 1: they're going to spend as you say, their treasury onto 56 00:03:27,320 --> 00:03:30,120 Speaker 1: the money or the crypto that they have in the bank, 57 00:03:30,240 --> 00:03:33,320 Speaker 1: as it were. But what do dows have to do 58 00:03:33,480 --> 00:03:37,760 Speaker 1: with gender identity? So in this world, as people seek 59 00:03:37,800 --> 00:03:39,840 Speaker 1: to kind of break the boundaries of what crypto can 60 00:03:39,880 --> 00:03:42,160 Speaker 1: mean or what it can be represented for they're also 61 00:03:42,200 --> 00:03:45,600 Speaker 1: trying to find ways that crypto could be something more 62 00:03:45,640 --> 00:03:48,840 Speaker 1: appealing to the mainstream. And if we think about, you know, 63 00:03:49,040 --> 00:03:51,800 Speaker 1: the ways in which we engage with social media and 64 00:03:51,920 --> 00:03:55,160 Speaker 1: the role of influences in that um, we've been seeing 65 00:03:55,160 --> 00:03:58,040 Speaker 1: the rise of something called simp dows over the last 66 00:03:58,080 --> 00:03:59,920 Speaker 1: few months and maybe even a year. Can I just 67 00:04:00,080 --> 00:04:04,720 Speaker 1: gonna stopulate? Did you say simple? Yes? So, to simple 68 00:04:04,800 --> 00:04:07,400 Speaker 1: means basically to be a fan of somebody, but in 69 00:04:07,480 --> 00:04:10,720 Speaker 1: typical Internet language, it's always pretty aloaded, and so simping 70 00:04:10,800 --> 00:04:14,680 Speaker 1: generally happens from a male fan to a female influencer 71 00:04:14,720 --> 00:04:17,440 Speaker 1: who is considered to be quite beautiful. And so in 72 00:04:17,480 --> 00:04:21,760 Speaker 1: this world of simpows, some female influencers are using the 73 00:04:21,760 --> 00:04:26,360 Speaker 1: mechanics of crypto and these miniature organizations to basically allow 74 00:04:26,400 --> 00:04:29,120 Speaker 1: a bit more of a developed relationship between them and 75 00:04:29,160 --> 00:04:32,640 Speaker 1: their fan base. The fans can contribute to the tao, 76 00:04:33,040 --> 00:04:36,479 Speaker 1: contribute to the US's reputation, deciding on what projects she 77 00:04:36,480 --> 00:04:39,160 Speaker 1: should take on or not, but then in return they 78 00:04:39,240 --> 00:04:41,320 Speaker 1: might gain something in the form of a reward like 79 00:04:41,360 --> 00:04:43,800 Speaker 1: a crypto token or an n f T, which they 80 00:04:43,800 --> 00:04:45,240 Speaker 1: can then used to kind of give back to the 81 00:04:45,240 --> 00:04:49,560 Speaker 1: community again, it becomes like a little circle of financial value. 82 00:04:49,640 --> 00:04:51,599 Speaker 1: I guess you could call it. So is this like 83 00:04:52,320 --> 00:04:55,159 Speaker 1: only fans on the blockchain? I mean you could consider 84 00:04:55,200 --> 00:04:57,720 Speaker 1: it that slightly. There are some dows that have been 85 00:04:57,720 --> 00:05:00,520 Speaker 1: set up that are slightly sexual in sure, if that's 86 00:05:00,560 --> 00:05:03,320 Speaker 1: what we think of as only found his main business model. 87 00:05:03,920 --> 00:05:05,880 Speaker 1: So and there are even dolls that have been set 88 00:05:05,960 --> 00:05:10,479 Speaker 1: up to honor female influences without that person's permission or knowledge. 89 00:05:11,040 --> 00:05:13,120 Speaker 1: One of the most prominent ones that was reported on 90 00:05:13,160 --> 00:05:15,520 Speaker 1: by Vice not long ago is one in tribute to 91 00:05:15,600 --> 00:05:19,280 Speaker 1: Belle Delphine, who is known as a gamer girl, and 92 00:05:19,320 --> 00:05:24,040 Speaker 1: she very famously tried to set off her bathwater adoring fans, 93 00:05:24,680 --> 00:05:26,279 Speaker 1: and as far as we know, she was not involved 94 00:05:26,320 --> 00:05:28,360 Speaker 1: in that because at the time anyway, she had been 95 00:05:28,560 --> 00:05:32,200 Speaker 1: offline from the Internet for about a year. But there 96 00:05:32,240 --> 00:05:35,200 Speaker 1: are also, you know, versions of these dolls that don't 97 00:05:35,200 --> 00:05:37,320 Speaker 1: involve anything of a sexual nature. So one of the 98 00:05:37,320 --> 00:05:40,360 Speaker 1: prominent ones that I spoke to for um this story 99 00:05:40,800 --> 00:05:43,719 Speaker 1: was a dow belonging to an influencer called Irene Zoo, 100 00:05:44,480 --> 00:05:46,560 Speaker 1: and in her dow, she mainly just uses it as 101 00:05:46,600 --> 00:05:48,600 Speaker 1: a way to interact with her fans, on a more 102 00:05:48,960 --> 00:05:51,640 Speaker 1: unique and direct level than she'd been able to previously 103 00:05:51,760 --> 00:05:53,880 Speaker 1: in Instagram, where she found that d ms are pretty 104 00:05:53,920 --> 00:05:57,400 Speaker 1: inefficient in your reporting. In the story that you wrote 105 00:05:57,440 --> 00:06:00,400 Speaker 1: about this, one of the mean characters, or otherwise I 106 00:06:00,400 --> 00:06:04,159 Speaker 1: supposed they were playing two characters at once, is someone 107 00:06:04,240 --> 00:06:08,159 Speaker 1: named Eric Wall who has a SIMP dow as we've 108 00:06:08,200 --> 00:06:11,479 Speaker 1: discussed under the name of Erica Wall. Can you see 109 00:06:11,480 --> 00:06:15,599 Speaker 1: more about this? Yes, So, Eric Wall is the chief 110 00:06:15,640 --> 00:06:19,520 Speaker 1: investment officer at a crypto asset fund. But he's also 111 00:06:19,560 --> 00:06:22,640 Speaker 1: a pretty big personality on crypto Twitter as we call it. 112 00:06:23,200 --> 00:06:25,640 Speaker 1: He's got more than eighty thousand followers, and he's known 113 00:06:25,760 --> 00:06:27,840 Speaker 1: for being kind of a bit of an expert on 114 00:06:27,880 --> 00:06:30,640 Speaker 1: all things crypto and therefore tends to get into full 115 00:06:30,720 --> 00:06:33,479 Speaker 1: online disputes with people over the mechanics of krypto and 116 00:06:33,520 --> 00:06:37,039 Speaker 1: blockchain mechanics. But one thing that he found over the 117 00:06:37,080 --> 00:06:39,720 Speaker 1: last few years is that occasionally, when somebody wanted to 118 00:06:39,760 --> 00:06:42,200 Speaker 1: make fun of him, they would photoshop him in a 119 00:06:42,240 --> 00:06:44,400 Speaker 1: picture of a woman, so they'd give him, you know, 120 00:06:44,520 --> 00:06:47,679 Speaker 1: long hair and mascara and breasts and all the rest, 121 00:06:48,320 --> 00:06:51,440 Speaker 1: And eventually he said he that one of those pictures 122 00:06:51,480 --> 00:06:53,960 Speaker 1: was good enough that he decided to take that picture 123 00:06:53,960 --> 00:06:57,560 Speaker 1: for himself and reclaim it. And he had been advising 124 00:06:57,640 --> 00:07:00,800 Speaker 1: dows like Irene's for quite a while, and so he 125 00:07:00,920 --> 00:07:04,320 Speaker 1: started Arikadao as, as he said, a way to kind 126 00:07:04,320 --> 00:07:06,920 Speaker 1: of model out how easy it could be to set 127 00:07:06,960 --> 00:07:09,960 Speaker 1: up one of these symptows for Instagram influences, and in 128 00:07:10,000 --> 00:07:12,880 Speaker 1: his mind, I think a use it as a way 129 00:07:12,920 --> 00:07:15,920 Speaker 1: to kind of encourage more influences to take up this 130 00:07:15,920 --> 00:07:20,400 Speaker 1: this mechanics and make blockchain more mainstream, but be raise 131 00:07:20,480 --> 00:07:24,080 Speaker 1: his own influence um and find more ways to engage 132 00:07:24,120 --> 00:07:26,480 Speaker 1: with the people who interact with him online. Now that 133 00:07:26,520 --> 00:07:29,160 Speaker 1: there's something that you said about the fans that I 134 00:07:29,360 --> 00:07:31,040 Speaker 1: that I want to point out because I feel like 135 00:07:31,040 --> 00:07:33,320 Speaker 1: there's a central tension here, which is the people who 136 00:07:33,320 --> 00:07:35,320 Speaker 1: were following him online. We're trying to make fun of 137 00:07:35,360 --> 00:07:37,640 Speaker 1: him by portraying him as a woman, which, let's be clear, 138 00:07:37,720 --> 00:07:40,760 Speaker 1: is a super sexist thing to do, right, like the 139 00:07:40,760 --> 00:07:42,720 Speaker 1: the idea that the worst thing you could do to 140 00:07:42,760 --> 00:07:46,080 Speaker 1: a man is make him look like a woman. M hm, 141 00:07:46,680 --> 00:07:50,880 Speaker 1: And so okay, fine, like you, Crypto represents all of 142 00:07:50,920 --> 00:07:52,880 Speaker 1: the dysfunction of society because it is a part of 143 00:07:52,920 --> 00:07:56,280 Speaker 1: society as always. But he then is like, I'm just 144 00:07:56,320 --> 00:07:58,080 Speaker 1: gonna I'm going to lean into this, ha ha, I'm 145 00:07:58,120 --> 00:08:00,360 Speaker 1: going to reclaim this. I'm going to mon as high 146 00:08:00,440 --> 00:08:03,360 Speaker 1: is this. Has he gotten any kind of support or 147 00:08:03,360 --> 00:08:07,960 Speaker 1: criticism in either direction from this, almost like costly? Yeah, 148 00:08:08,080 --> 00:08:11,720 Speaker 1: So I think you'd expect there to be some negative backlash, right, 149 00:08:11,720 --> 00:08:13,960 Speaker 1: You'd expect there to be some backlash to the fact 150 00:08:14,000 --> 00:08:16,880 Speaker 1: that a man is portraying himself as a woman online 151 00:08:17,160 --> 00:08:19,640 Speaker 1: and creating some sort of monetary flow around that, whether 152 00:08:19,760 --> 00:08:21,840 Speaker 1: or not he decides to use it for personal gain, 153 00:08:21,920 --> 00:08:25,800 Speaker 1: personal profit or not. But actually, he said though there 154 00:08:25,920 --> 00:08:28,760 Speaker 1: was on some level of a bit of confusion from 155 00:08:28,800 --> 00:08:30,560 Speaker 1: some people as to why he would set up a 156 00:08:30,600 --> 00:08:33,280 Speaker 1: dow in the name of Erica. Most people thought it 157 00:08:33,320 --> 00:08:35,800 Speaker 1: was funny. Most people weren't on the joke, and most 158 00:08:35,800 --> 00:08:37,760 Speaker 1: people thought, you know, if I want to contribute to this, 159 00:08:37,840 --> 00:08:40,600 Speaker 1: I can. But he started then using the persona as 160 00:08:40,600 --> 00:08:43,680 Speaker 1: a way to bring attention to causes like the plight 161 00:08:43,679 --> 00:08:46,200 Speaker 1: to Ukraine and how you could donate to that with crypto, 162 00:08:46,440 --> 00:08:49,520 Speaker 1: and also again bringing more attention to some of the 163 00:08:49,559 --> 00:08:52,160 Speaker 1: work that he'd been doing with other simp dows, like 164 00:08:52,200 --> 00:08:56,880 Speaker 1: irenes so in essence, while there was some expectation of 165 00:08:56,880 --> 00:08:59,880 Speaker 1: a negative reaction, it wasn't necessarily what he told me 166 00:09:00,360 --> 00:09:02,600 Speaker 1: is what he got back. But there are folks and 167 00:09:02,640 --> 00:09:05,800 Speaker 1: you you didn't include these examples in your story who 168 00:09:05,920 --> 00:09:09,080 Speaker 1: are not necessarily as transparent about what they're doing, not 169 00:09:09,120 --> 00:09:11,760 Speaker 1: necessarily encryptal, but in other sort of formats like live 170 00:09:11,800 --> 00:09:15,280 Speaker 1: streaming or streaming games, who are also engaging in this 171 00:09:15,400 --> 00:09:19,440 Speaker 1: kind of gender performance. Yeah. So there is a trend 172 00:09:19,600 --> 00:09:22,480 Speaker 1: that is very, very popular and still ongoing in places 173 00:09:22,520 --> 00:09:26,240 Speaker 1: like YouTube and Twitch, where sis men will dress up 174 00:09:26,240 --> 00:09:28,959 Speaker 1: as women and while the people who are watching their 175 00:09:29,000 --> 00:09:31,760 Speaker 1: streams or their videos are in on the joke. They'll 176 00:09:31,760 --> 00:09:34,240 Speaker 1: often go on platforms like amigle, which is a site 177 00:09:34,240 --> 00:09:37,240 Speaker 1: that randomly assigns you another person over video chat to 178 00:09:37,280 --> 00:09:40,480 Speaker 1: talk to and pretend to be a woman. Everybody who's 179 00:09:40,480 --> 00:09:42,880 Speaker 1: watching knows what's going on, like you know, in the 180 00:09:42,880 --> 00:09:45,240 Speaker 1: background when they're watching these videos, but the person they're 181 00:09:45,240 --> 00:09:48,320 Speaker 1: talking to is being duped, and and therein lies. I 182 00:09:48,320 --> 00:09:52,280 Speaker 1: guess the humor or the attraction and the world of 183 00:09:52,280 --> 00:09:54,880 Speaker 1: simptows is in some ways that you know, there are 184 00:09:54,920 --> 00:09:56,960 Speaker 1: always going to be people who are coming to something 185 00:09:57,000 --> 00:09:59,640 Speaker 1: like eric Odow, what the dow that Erica has set 186 00:09:59,720 --> 00:10:01,760 Speaker 1: up and not know who he is, and not know 187 00:10:01,840 --> 00:10:04,920 Speaker 1: who that person is behind the photoshop damage in front 188 00:10:04,920 --> 00:10:07,520 Speaker 1: of it. He even went to like a recent Bitcoin 189 00:10:07,600 --> 00:10:11,200 Speaker 1: conference with Eric Odoa as his name um and has 190 00:10:11,320 --> 00:10:15,440 Speaker 1: used things like voice modulators on podcast to appear as 191 00:10:15,559 --> 00:10:19,400 Speaker 1: Erica previously. But in essence, I guess that the message 192 00:10:19,440 --> 00:10:22,760 Speaker 1: that he was pushing is that that isn't his intention. Well, 193 00:10:22,880 --> 00:10:24,599 Speaker 1: you know, we all know that intentions always leads to 194 00:10:24,600 --> 00:10:28,120 Speaker 1: fantastic outcomes. So thank you very much, Emily. That was 195 00:10:28,160 --> 00:10:30,200 Speaker 1: a very interesting story and I appreciate you taking the 196 00:10:30,240 --> 00:10:32,760 Speaker 1: time to share it with our audience today. Thanks for 197 00:10:32,800 --> 00:10:37,760 Speaker 1: having me. You can find more of Emily's reporting on 198 00:10:37,800 --> 00:10:41,240 Speaker 1: the Bloomberg Terminal on Bloomberg dot com and follower on 199 00:10:41,280 --> 00:10:45,319 Speaker 1: twit her. She's at Emily J. Nicole. That's n I 200 00:10:45,720 --> 00:10:52,000 Speaker 1: CEO l L. We'll be right back with more from 201 00:10:52,040 --> 00:10:56,359 Speaker 1: Florence Smith Nichols about the ethical implications of gender fluidity 202 00:10:56,440 --> 00:11:08,160 Speaker 1: in a DOW universe. In the metaverse, you can be 203 00:11:08,520 --> 00:11:13,680 Speaker 1: anyone or anything you want to be. Now that we 204 00:11:13,720 --> 00:11:16,319 Speaker 1: have more an idea about how the dows work, I'm 205 00:11:16,320 --> 00:11:18,480 Speaker 1: going to turn to Florence Smith Nichols to give us 206 00:11:18,480 --> 00:11:20,920 Speaker 1: a little bit more insights on the moral and ethical 207 00:11:20,960 --> 00:11:26,760 Speaker 1: implications of gender fluidity and the blockchain. Florence, such a 208 00:11:26,760 --> 00:11:29,400 Speaker 1: pleasure to have you in the studio today, virtually or otherwise. 209 00:11:30,800 --> 00:11:34,359 Speaker 1: Thanks so much for having me. You are a specialist 210 00:11:34,440 --> 00:11:39,520 Speaker 1: in some very very interesting areas of research, and you know, 211 00:11:39,559 --> 00:11:44,199 Speaker 1: our audience just heard from Emily who interviewed you for 212 00:11:44,360 --> 00:11:48,119 Speaker 1: a story about gender presentation and crypto and the blockchain, 213 00:11:48,480 --> 00:11:50,040 Speaker 1: and I'd love for you to say a little bit 214 00:11:50,040 --> 00:11:53,840 Speaker 1: more about what you've encountered in the realm of online 215 00:11:53,880 --> 00:11:57,439 Speaker 1: gender performance. I know now we're talking about kind of crypto, 216 00:11:57,679 --> 00:12:00,880 Speaker 1: the metaverse, the blockchain, but people ex perimenting with gender 217 00:12:00,920 --> 00:12:04,920 Speaker 1: expression online and in kind of a virtual context has 218 00:12:04,920 --> 00:12:07,920 Speaker 1: been happening really sort of, I think as long as 219 00:12:08,360 --> 00:12:14,120 Speaker 1: those places have existed, And certainly my kind of expertise 220 00:12:14,280 --> 00:12:18,120 Speaker 1: is particularly in video games and my favorite that's yeah, 221 00:12:18,280 --> 00:12:21,920 Speaker 1: that's something that I think you here, for example, in 222 00:12:21,920 --> 00:12:24,720 Speaker 1: the trans community sort of like countless stories of people 223 00:12:24,800 --> 00:12:27,800 Speaker 1: saying that the first time I really started to experiment 224 00:12:27,880 --> 00:12:32,679 Speaker 1: with kind of a different gender expression was through like say, 225 00:12:32,880 --> 00:12:35,040 Speaker 1: choosing a different avatar in a video game or something 226 00:12:35,080 --> 00:12:37,160 Speaker 1: like that, because it represents sort of like a safe 227 00:12:37,160 --> 00:12:41,440 Speaker 1: space to do. So when you were talking to Emily, 228 00:12:41,559 --> 00:12:44,960 Speaker 1: one of the things that I found interesting that she 229 00:12:45,080 --> 00:12:47,840 Speaker 1: reported in the context of the conversation was about how 230 00:12:47,880 --> 00:12:52,520 Speaker 1: the pandemic was a moment for people to be able 231 00:12:52,559 --> 00:12:55,240 Speaker 1: to do more of this kind of exploration in a 232 00:12:55,240 --> 00:12:59,319 Speaker 1: crypto context or otherwise Can you say some more about that? Yeah, So, 233 00:12:59,400 --> 00:13:01,839 Speaker 1: I think it's really interesting that it seems to have 234 00:13:01,920 --> 00:13:05,600 Speaker 1: been this kind of you see this trend of people 235 00:13:05,720 --> 00:13:09,120 Speaker 1: discovering kind of new aspects about themselves that maybe they 236 00:13:09,160 --> 00:13:11,240 Speaker 1: just didn't feel that they had the time to do 237 00:13:11,320 --> 00:13:16,320 Speaker 1: so before. And I wonder if, especially because a lot 238 00:13:16,360 --> 00:13:20,240 Speaker 1: of our interactions just had to be online by necessity, 239 00:13:20,320 --> 00:13:24,120 Speaker 1: and because online interactions allow you to potentially kind of 240 00:13:24,120 --> 00:13:26,839 Speaker 1: play around with your identity, whether that can be a 241 00:13:27,280 --> 00:13:30,360 Speaker 1: something right as simple as even oh you change your 242 00:13:30,400 --> 00:13:34,000 Speaker 1: Twitter profile picture, right, And a lot of this conversation 243 00:13:34,040 --> 00:13:37,880 Speaker 1: around crypto and things like meme stocks really really hit 244 00:13:37,920 --> 00:13:40,040 Speaker 1: the mainstream during the pandemic, right, so at least the 245 00:13:40,080 --> 00:13:44,520 Speaker 1: time lines were overlapping. And as part of that, as 246 00:13:44,559 --> 00:13:49,160 Speaker 1: you as you've discussed with Emily, previously was this kind 247 00:13:49,160 --> 00:13:54,560 Speaker 1: of distinction between I suppose, a sincere exploration in the 248 00:13:54,600 --> 00:13:57,160 Speaker 1: way that you're describing of people, you know, finding out 249 00:13:57,160 --> 00:14:02,040 Speaker 1: who they really were, and a more cynical, potentially performance 250 00:14:02,960 --> 00:14:07,760 Speaker 1: for some other motivation or game or gain. Where in 251 00:14:07,800 --> 00:14:11,320 Speaker 1: the what we call the simple Dowel context, do you 252 00:14:11,360 --> 00:14:15,439 Speaker 1: see that spectrum? I feel like that this kind of 253 00:14:15,640 --> 00:14:19,840 Speaker 1: trying to draw a line between people, yeah, kind of 254 00:14:19,920 --> 00:14:23,720 Speaker 1: genuinely exploring the identity versus perhaps yet what you would 255 00:14:23,720 --> 00:14:26,680 Speaker 1: see as a more cynical kind of way of trying 256 00:14:26,720 --> 00:14:31,680 Speaker 1: to exploit a kind of performative identity is really tricky 257 00:14:31,840 --> 00:14:35,040 Speaker 1: because especially from an outside perspective if you don't know 258 00:14:35,120 --> 00:14:38,120 Speaker 1: the people involved. But it's the more kind of cynical 259 00:14:38,120 --> 00:14:41,480 Speaker 1: examples that hurt or kinds of people, especially trans people. 260 00:14:41,880 --> 00:14:44,520 Speaker 1: You know, A big part of transphobia is people being 261 00:14:44,520 --> 00:14:47,840 Speaker 1: accused of being fake, right, right, not just pretending, so 262 00:14:47,920 --> 00:14:50,480 Speaker 1: you can see how Yeah, it's a really difficult topic. 263 00:14:50,520 --> 00:14:54,080 Speaker 1: But I think with the simp dows specifically, I mean 264 00:14:54,120 --> 00:14:56,480 Speaker 1: even just in the name, I guess that it was 265 00:14:56,600 --> 00:14:59,200 Speaker 1: kind of revealing, right, It kind of kind of it 266 00:14:59,280 --> 00:15:02,720 Speaker 1: tells you what kind of level that's at, and it's 267 00:15:02,800 --> 00:15:07,480 Speaker 1: something that's fill I guess it's kind of generalization, but 268 00:15:07,520 --> 00:15:10,000 Speaker 1: I guess for the male gays in a very particular way, 269 00:15:10,120 --> 00:15:14,000 Speaker 1: and it's not about sort of an individual exploring their identity. 270 00:15:14,240 --> 00:15:18,480 Speaker 1: It's a group kind of around this kind of avatar 271 00:15:18,600 --> 00:15:23,280 Speaker 1: in order to potentially leverage getting more money out of people. 272 00:15:23,400 --> 00:15:27,680 Speaker 1: I guess essentially in the context of you know, video games, 273 00:15:27,720 --> 00:15:31,480 Speaker 1: the metavers and communities, are you seeing any spaces where 274 00:15:32,800 --> 00:15:36,680 Speaker 1: it's more how should I say, supportive or constructive of 275 00:15:36,720 --> 00:15:40,240 Speaker 1: gender exploration compared to maybe what we're seeing in crypto 276 00:15:40,720 --> 00:15:43,880 Speaker 1: I think vrchide. Yeah, I would probably from what I've 277 00:15:43,920 --> 00:15:48,240 Speaker 1: seen where there seems to be um kind of just 278 00:15:48,280 --> 00:15:52,040 Speaker 1: a general sense of people being very welcoming about people 279 00:15:52,360 --> 00:15:56,080 Speaker 1: um kind of exploring their gender. Although at the same time, 280 00:15:56,080 --> 00:15:58,160 Speaker 1: I will say, from what I've seen, like, for example, 281 00:15:58,240 --> 00:16:01,040 Speaker 1: you get a lot of people who have the kind 282 00:16:01,040 --> 00:16:06,120 Speaker 1: of stereotypical like anime girl kind of after which you know, 283 00:16:06,200 --> 00:16:12,240 Speaker 1: you get very very large Yeah. Um. And that's kind 284 00:16:12,240 --> 00:16:15,200 Speaker 1: of interesting because apparently the reason why that is is 285 00:16:15,480 --> 00:16:19,720 Speaker 1: when m R chat was just kind of getting started up, 286 00:16:20,720 --> 00:16:22,480 Speaker 1: a load of people sort of import a load of 287 00:16:22,560 --> 00:16:26,120 Speaker 1: character models from a particular anime game, and they were 288 00:16:26,120 --> 00:16:28,440 Speaker 1: a much higher quality than any of the others, so 289 00:16:28,520 --> 00:16:30,440 Speaker 1: that's why people use them. So it's just kind of 290 00:16:30,520 --> 00:16:34,720 Speaker 1: ended up kind of being a trend because of that. 291 00:16:34,800 --> 00:16:37,680 Speaker 1: But that's that's interesting because then you get a lot 292 00:16:37,680 --> 00:16:40,440 Speaker 1: of people who say, well, actually, I just feel really 293 00:16:40,480 --> 00:16:44,720 Speaker 1: comfortable wearing this avatar or through having you know, kind 294 00:16:44,720 --> 00:16:46,880 Speaker 1: of tried this out for a while, I realized things 295 00:16:46,880 --> 00:16:50,040 Speaker 1: about my gender that I didn't know before. Um, so 296 00:16:50,080 --> 00:16:53,720 Speaker 1: it seems like, yeah, from what I can see, there's 297 00:16:53,720 --> 00:16:57,000 Speaker 1: definitely a lot of space exploration there. But again, like 298 00:16:57,040 --> 00:17:00,160 Speaker 1: I suppose, it's like any online space right where you 299 00:17:00,200 --> 00:17:02,920 Speaker 1: maybe have to be careful where you are because I 300 00:17:02,920 --> 00:17:05,000 Speaker 1: think if you're kind of like a public sort of 301 00:17:05,080 --> 00:17:07,680 Speaker 1: lobby space, you can meet anyone right who could just 302 00:17:08,440 --> 00:17:14,119 Speaker 1: be obnoxious or potentially very rude. Well, if it's if 303 00:17:14,119 --> 00:17:16,600 Speaker 1: it stops at rudeness, that would be a better better 304 00:17:16,640 --> 00:17:18,800 Speaker 1: degree than some of the online harassment that we see 305 00:17:18,800 --> 00:17:22,200 Speaker 1: in other places. So thank you so much, Florence. I 306 00:17:22,240 --> 00:17:25,920 Speaker 1: really appreciate you joining us today. Thank you. You can 307 00:17:25,960 --> 00:17:32,000 Speaker 1: find Florence on Twitter there at Florence s n. On 308 00:17:32,080 --> 00:17:35,360 Speaker 1: the next episode of Bloomberg Crypto. So Rare is one 309 00:17:35,359 --> 00:17:38,560 Speaker 1: of several companies attempting to take the idea of collectibles 310 00:17:38,680 --> 00:17:42,520 Speaker 1: like baseball cards and bring them into a more digital context. 311 00:17:43,160 --> 00:17:46,119 Speaker 1: In me so Rare announced a partnership with Major League 312 00:17:46,119 --> 00:17:49,760 Speaker 1: Baseball here in the US, and they announced Serena Williams 313 00:17:49,880 --> 00:17:51,840 Speaker 1: was going to be a member of their advisory board. 314 00:17:52,440 --> 00:17:55,119 Speaker 1: Why is this company betting so big on sports? Do 315 00:17:55,240 --> 00:17:58,240 Speaker 1: collectibles even need to be on a blockchain? And will 316 00:17:58,280 --> 00:18:02,159 Speaker 1: baseball players benefit from that needure leaked deal. To explore 317 00:18:02,200 --> 00:18:05,080 Speaker 1: these questions and more, I'll talk to Bloomberg reporter Hannah 318 00:18:05,080 --> 00:18:13,359 Speaker 1: Miller and to Sarrere's own CEO, Nicola Julia. I'm Stacy 319 00:18:13,400 --> 00:18:16,960 Speaker 1: Marie Ishmael, and this is Bloomberg Crypto, a daily podcast 320 00:18:16,960 --> 00:18:19,920 Speaker 1: from Bloomberg and I Heart Radio. For more shows from 321 00:18:19,920 --> 00:18:23,360 Speaker 1: I Heart Radio, visit the I Heart Radio app, Apple Podcasts, 322 00:18:23,440 --> 00:18:26,800 Speaker 1: or wherever you get your podcasts. Email your questions, comments, 323 00:18:26,840 --> 00:18:29,760 Speaker 1: or suggestions for the show to Crypto at Bloomberg dot 324 00:18:29,760 --> 00:18:34,439 Speaker 1: net and you'll find us on Twitter at Crypto. The 325 00:18:34,520 --> 00:18:37,840 Speaker 1: supervising producer of this episode is Vicky ver Galina. Our 326 00:18:37,880 --> 00:18:41,920 Speaker 1: producer is Mohammed Baruk. Associate producer is Zanab Sudiki Desta 327 00:18:41,960 --> 00:18:45,360 Speaker 1: wonder At is our Engineer. Original music by Leo Sidron. 328 00:18:45,600 --> 00:18:47,919 Speaker 1: Bloomberg's head of podcasts is Francesca Levi.