1 00:00:02,720 --> 00:00:06,360 Speaker 1: I'm Stacy Marie Ishmael, Managing editor of Crypto for Bloomberg News, 2 00:00:06,840 --> 00:00:10,280 Speaker 1: and this is Bloomberg Crypto, a daily Bloomberg I heart podcast. 3 00:00:10,840 --> 00:00:24,759 Speaker 1: It's Friday, August. The day to day a pulse of 4 00:00:24,800 --> 00:00:27,760 Speaker 1: crypto can be unrelenting and no two days are alike, 5 00:00:28,120 --> 00:00:29,960 Speaker 1: So I'm glad I get to spend those days with 6 00:00:30,000 --> 00:00:32,760 Speaker 1: my colleagues on the Bloomberg Crypto team to help me 7 00:00:32,880 --> 00:00:35,559 Speaker 1: distill the latest developments in the world of digital assets 8 00:00:35,600 --> 00:00:37,360 Speaker 1: for all of you are listeners and all of our 9 00:00:37,400 --> 00:00:40,680 Speaker 1: readers of our stories. Today, I'm joined once again by 10 00:00:40,920 --> 00:00:44,279 Speaker 1: Bloomberg senior editors Anna Irrera. There's always someone waking up, 11 00:00:44,320 --> 00:00:47,040 Speaker 1: always someone needing an edit, always someone with a story idea, 12 00:00:47,120 --> 00:00:50,720 Speaker 1: and Philip Blogger, cancer prosecutors doing raid on different crypto exchanges, 13 00:00:50,800 --> 00:00:59,720 Speaker 1: people's homes for the latest Friday in the editor's room 14 00:00:59,720 --> 00:01:02,840 Speaker 1: at Welcome back to the podcast. Hi, thank you, and 15 00:01:02,880 --> 00:01:04,560 Speaker 1: I know you were joining us today from your closet. 16 00:01:05,360 --> 00:01:09,040 Speaker 1: I am indeed, this is my preferred location for podcast recordings. 17 00:01:09,040 --> 00:01:13,320 Speaker 1: It's wonderful and cozy and probably around forty degrees celsius, 18 00:01:13,680 --> 00:01:16,319 Speaker 1: which is like what a hundred ninety I'm not sure. 19 00:01:17,040 --> 00:01:21,679 Speaker 1: This is the glamorous life of Bloomberg editor podcasting and 20 00:01:21,760 --> 00:01:24,959 Speaker 1: Phil you are in frankly more glamorous surroundings than one 21 00:01:25,000 --> 00:01:28,319 Speaker 1: of the like gorgeous conference rooms in the Zurich office. 22 00:01:28,360 --> 00:01:31,120 Speaker 1: How's life over there? Live is good? Thank you very much. 23 00:01:31,440 --> 00:01:35,000 Speaker 1: Excellence This week, like every other week, I feel that, 24 00:01:35,120 --> 00:01:36,760 Speaker 1: you know, when I was kind of reviewing the file, 25 00:01:36,920 --> 00:01:38,480 Speaker 1: I was like, wow, we published a lot of stories 26 00:01:38,520 --> 00:01:41,280 Speaker 1: about a lot of things. And one of the things 27 00:01:41,280 --> 00:01:44,959 Speaker 1: I've noticed is that since you joined, which was just 28 00:01:45,040 --> 00:01:47,640 Speaker 1: a couple of months ago, at this point, your byline 29 00:01:47,720 --> 00:01:52,280 Speaker 1: has popped up with almost equal frequency in the you know, 30 00:01:52,360 --> 00:01:56,720 Speaker 1: reported by Field as it has in the edited by Field. 31 00:01:57,320 --> 00:01:59,360 Speaker 1: And I'd love for you to just talk a little 32 00:01:59,400 --> 00:02:02,160 Speaker 1: bit about what it's like having been a reporter in 33 00:02:02,200 --> 00:02:04,520 Speaker 1: Crypto for a long time and now, you know, being 34 00:02:04,560 --> 00:02:08,360 Speaker 1: primarily an editor but still kind of contributing to reporting 35 00:02:08,360 --> 00:02:11,160 Speaker 1: in the way that you have been. Yeah, I think 36 00:02:11,480 --> 00:02:14,080 Speaker 1: you know, I'm still reporting because maybe at heart I 37 00:02:14,080 --> 00:02:17,040 Speaker 1: will always be a reporter. And I guess many editors 38 00:02:17,040 --> 00:02:19,040 Speaker 1: are the same way, right, because that's the way you 39 00:02:19,080 --> 00:02:21,799 Speaker 1: become an editor often is because you were a reporter before. 40 00:02:22,200 --> 00:02:24,919 Speaker 1: And I think in specifically with crypto, I feel it's 41 00:02:24,919 --> 00:02:28,440 Speaker 1: helpful to be reporting also to an extent because you're 42 00:02:28,480 --> 00:02:30,840 Speaker 1: keeping taps on what's going on, and you know, it 43 00:02:30,840 --> 00:02:33,680 Speaker 1: helps when you're editing too because you have you know, 44 00:02:33,919 --> 00:02:37,080 Speaker 1: heard from sources as well, and so you can also 45 00:02:37,120 --> 00:02:40,760 Speaker 1: help reporters frame stories and help with sourcing as well. 46 00:02:40,919 --> 00:02:43,320 Speaker 1: Just make sure that everything you know is solid, and 47 00:02:43,880 --> 00:02:46,239 Speaker 1: you know, maybe sometimes a reporter has done great reporting, 48 00:02:46,280 --> 00:02:48,320 Speaker 1: but they're struggling a bit on how to like frame 49 00:02:48,360 --> 00:02:50,280 Speaker 1: it or get the angle right. And if you're speaking 50 00:02:50,280 --> 00:02:52,040 Speaker 1: to people in the sector as well, or people not 51 00:02:52,080 --> 00:02:54,200 Speaker 1: in the sector but have but who have views on it, 52 00:02:54,600 --> 00:02:56,720 Speaker 1: you can help shape that in a way that's more 53 00:02:57,200 --> 00:03:00,240 Speaker 1: I guess accurate or compelling or whatever the case is. 54 00:03:00,400 --> 00:03:02,839 Speaker 1: And it's just always fun, you know, Like I think 55 00:03:02,840 --> 00:03:04,720 Speaker 1: it's one of my favorite parts of the job is 56 00:03:04,760 --> 00:03:07,600 Speaker 1: speaking to people and then writing stories and finding out things. 57 00:03:07,760 --> 00:03:10,400 Speaker 1: So I'm happy that I still get to do that, 58 00:03:10,919 --> 00:03:12,799 Speaker 1: especially things that people don't want to tell us. Love 59 00:03:12,880 --> 00:03:16,160 Speaker 1: to hear about those. I'm reminded of something that a 60 00:03:16,200 --> 00:03:20,440 Speaker 1: former editor of mine, Ben Smith, who is now you know, 61 00:03:20,520 --> 00:03:24,919 Speaker 1: the founding editor at Semaphore, used to say when we 62 00:03:24,919 --> 00:03:27,520 Speaker 1: were at BuzzFeed News, and it is that being a 63 00:03:27,560 --> 00:03:29,520 Speaker 1: reporter is the most fun job that anybody in the 64 00:03:29,680 --> 00:03:32,519 Speaker 1: in the newsroom can have. And he said this while 65 00:03:32,560 --> 00:03:35,400 Speaker 1: he was editor in chief, and all of us the 66 00:03:35,520 --> 00:03:37,400 Speaker 1: editors were like, I guess our jobs are fun too. 67 00:03:37,480 --> 00:03:41,760 Speaker 1: But I do think that having your main responsibility to 68 00:03:41,800 --> 00:03:43,760 Speaker 1: be like going out and finding stuff out and then 69 00:03:43,880 --> 00:03:45,800 Speaker 1: you know, writing it down or recording it for audio 70 00:03:45,920 --> 00:03:48,640 Speaker 1: or sharing it on video, is is a pretty a 71 00:03:48,640 --> 00:03:51,120 Speaker 1: pretty interesting way to spend time. For sure. Sometimes I 72 00:03:51,160 --> 00:03:53,800 Speaker 1: still think, is this my job? Like this is so cool? 73 00:03:53,840 --> 00:03:56,040 Speaker 1: I get to do this, like it's my job, Like 74 00:03:56,080 --> 00:03:58,040 Speaker 1: I speak to people and like, you know, you get 75 00:03:58,600 --> 00:04:01,240 Speaker 1: front and row seats for what's going on in the world, 76 00:04:01,360 --> 00:04:03,360 Speaker 1: even if I mean, you know, obviously depending on the 77 00:04:03,400 --> 00:04:06,760 Speaker 1: beat you cover, it's more you know, relevant to the 78 00:04:06,760 --> 00:04:09,400 Speaker 1: course of humanity or not. But in any case, wherever 79 00:04:09,440 --> 00:04:12,760 Speaker 1: you are, you are seeing, like, you know, an industry developed, 80 00:04:13,240 --> 00:04:15,560 Speaker 1: you know, big decisions being made, So it's it's you know, 81 00:04:16,040 --> 00:04:19,120 Speaker 1: I'm still kind of in love with it, so that's good. 82 00:04:19,160 --> 00:04:21,160 Speaker 1: I guess right. I will not answer the question of 83 00:04:21,160 --> 00:04:22,920 Speaker 1: whether crypto is relevant to the course of You might 84 00:04:23,520 --> 00:04:27,160 Speaker 1: go to Phil because Phil, you too, you've been an 85 00:04:27,240 --> 00:04:30,040 Speaker 1: editor at Bloomberg for a longer time than me or 86 00:04:30,080 --> 00:04:33,039 Speaker 1: on a combined but you've also you know, there's like 87 00:04:33,160 --> 00:04:35,240 Speaker 1: wild stuff happening in the markets, and I wake up 88 00:04:35,279 --> 00:04:37,279 Speaker 1: in the morning in the the U. S. Time zone 89 00:04:37,320 --> 00:04:39,560 Speaker 1: and I see a Phil larger cross little byeline, Like, 90 00:04:39,600 --> 00:04:42,440 Speaker 1: what's that like? Yeah, I mean there is a there 91 00:04:42,520 --> 00:04:45,040 Speaker 1: is a very large element as an editor at Bloomberg, 92 00:04:45,120 --> 00:04:48,360 Speaker 1: I think of writing and sometimes from scratch. In my position, 93 00:04:48,560 --> 00:04:51,080 Speaker 1: I've had I've taken copy from many parts of the world, 94 00:04:51,920 --> 00:04:56,040 Speaker 1: and crypto is, as you know, it can be fairly technical, 95 00:04:56,080 --> 00:04:59,880 Speaker 1: and it's a fairly nascent field. And and and sometimes 96 00:05:00,000 --> 00:05:03,640 Speaker 1: you do have to do sort of the quite invasive 97 00:05:03,720 --> 00:05:07,400 Speaker 1: writing of things that are filed or you know, rewriting 98 00:05:07,440 --> 00:05:10,720 Speaker 1: maybe something that you need to do. But also as 99 00:05:10,760 --> 00:05:13,200 Speaker 1: an editor, you you need to be able to step 100 00:05:13,200 --> 00:05:16,360 Speaker 1: in and write from the top down sometimes, especially if 101 00:05:16,480 --> 00:05:18,760 Speaker 1: you know people are out, reporters are out doing what 102 00:05:18,800 --> 00:05:21,200 Speaker 1: they should be doing. Are you reporting um? And you're 103 00:05:21,240 --> 00:05:24,359 Speaker 1: there and it can be written up quickly and cleanly, 104 00:05:24,560 --> 00:05:26,760 Speaker 1: and it's it can be very rewarding to write something 105 00:05:26,760 --> 00:05:29,120 Speaker 1: from scratch as well. Yeah, just like a reminder that 106 00:05:29,160 --> 00:05:32,040 Speaker 1: we know how sometimes for for ourselves, but for our 107 00:05:32,080 --> 00:05:34,359 Speaker 1: teams as well. There's something that you said about, you know, 108 00:05:34,440 --> 00:05:36,599 Speaker 1: sometimes you something will come in and I know you 109 00:05:36,640 --> 00:05:38,839 Speaker 1: talked about helping folks frame things, and and you know, Phil, 110 00:05:38,920 --> 00:05:41,359 Speaker 1: you talked about the kind of the technical hurdles and 111 00:05:41,400 --> 00:05:44,240 Speaker 1: barriers that people face. We've talked on this podcast, and 112 00:05:44,279 --> 00:05:47,720 Speaker 1: Phil you've shared the fact that you know, anybody kind 113 00:05:47,760 --> 00:05:50,479 Speaker 1: of coming into this asset class from a journalistic perspective, 114 00:05:50,600 --> 00:05:55,920 Speaker 1: encounters words, stats, metrics, things that you may not have 115 00:05:56,240 --> 00:05:59,640 Speaker 1: seen previously, even if you have deep financial markets expertise 116 00:05:59,720 --> 00:06:02,680 Speaker 1: or have over other markets for years. What are some 117 00:06:02,720 --> 00:06:04,760 Speaker 1: of the kinds of things that you see, you know, 118 00:06:05,040 --> 00:06:08,040 Speaker 1: in in copy maybe that you think to yourself, Oh, yeah, 119 00:06:08,040 --> 00:06:10,120 Speaker 1: I remember when I did not know what this was. 120 00:06:10,800 --> 00:06:13,320 Speaker 1: And it's good to be able to guide somebody along 121 00:06:13,520 --> 00:06:16,960 Speaker 1: that path. You know, nine months ago I would have 122 00:06:17,000 --> 00:06:19,880 Speaker 1: said that I had no idea what the DeFi was. 123 00:06:20,160 --> 00:06:22,400 Speaker 1: I could not have described that to you at all. 124 00:06:22,720 --> 00:06:25,560 Speaker 1: An algorithmic stable coin would be another example. We had 125 00:06:25,600 --> 00:06:27,440 Speaker 1: to take a crash course and that back in May 126 00:06:27,520 --> 00:06:31,400 Speaker 1: or many of us, you know, especially missed myself. Blockchain 127 00:06:31,480 --> 00:06:34,440 Speaker 1: bridges well, n f T, so I had a vague idea. 128 00:06:34,680 --> 00:06:37,720 Speaker 1: The interesting thing about the crypto bait as like every 129 00:06:37,800 --> 00:06:41,680 Speaker 1: month there is a new set of terms that you 130 00:06:41,720 --> 00:06:46,240 Speaker 1: get introduced to. UM. This year it's often been you know, 131 00:06:46,320 --> 00:06:51,360 Speaker 1: in conjunction with said invention crashing spectacularly, and I fully 132 00:06:51,360 --> 00:06:55,240 Speaker 1: expect that to continue. It's you know, it just rolls 133 00:06:55,320 --> 00:06:58,760 Speaker 1: out every single time. I don't think there's been a 134 00:06:58,839 --> 00:07:01,599 Speaker 1: month since I started this bait that I haven't come 135 00:07:01,640 --> 00:07:05,480 Speaker 1: to face with a new a new set of terms 136 00:07:05,520 --> 00:07:08,599 Speaker 1: that I needed to all use upun come to terms 137 00:07:08,680 --> 00:07:11,960 Speaker 1: with h and that you know, for me, that's always 138 00:07:12,000 --> 00:07:16,040 Speaker 1: been one of the attractions of asset classes like this 139 00:07:16,120 --> 00:07:19,560 Speaker 1: is you're you're constantly learning, right, And I think one 140 00:07:19,600 --> 00:07:23,080 Speaker 1: of the things that folks criticize journalists force They're like, well, 141 00:07:23,080 --> 00:07:24,680 Speaker 1: you didn't know what you were talking about six months ago, 142 00:07:24,680 --> 00:07:27,760 Speaker 1: and yeah, like that's that's kind of the point. Sometimes, 143 00:07:28,280 --> 00:07:33,240 Speaker 1: It's that you balance deep expertise and proficiency in certain 144 00:07:33,280 --> 00:07:37,080 Speaker 1: things with an ability to become deeply experts and deeply 145 00:07:37,120 --> 00:07:42,200 Speaker 1: proficients and other things in it sometimes aggressively short amount 146 00:07:42,280 --> 00:07:45,280 Speaker 1: of time, and you know, learning how to learn is 147 00:07:45,760 --> 00:07:49,160 Speaker 1: on on deadline and under pressure while somebody on the 148 00:07:49,200 --> 00:07:51,880 Speaker 1: other end of the line is potentially yelling at you. Um. 149 00:07:51,920 --> 00:07:54,920 Speaker 1: That's that's certainly helped me in being able to cover 150 00:07:55,120 --> 00:07:56,920 Speaker 1: cover markets like this at the time, like the one 151 00:07:56,960 --> 00:08:00,360 Speaker 1: we're dealing with right now. Phil, I also to ask 152 00:08:00,400 --> 00:08:03,120 Speaker 1: you about you know, you and Anna are both in 153 00:08:03,360 --> 00:08:08,200 Speaker 1: kind of are like European time zone, European offices. And 154 00:08:08,400 --> 00:08:11,400 Speaker 1: one of the advantages or disadvantages you could disagree with me, 155 00:08:11,840 --> 00:08:13,720 Speaker 1: but one of the things about that is it lets 156 00:08:13,760 --> 00:08:16,280 Speaker 1: you get a lot of overlap with the sort of 157 00:08:16,320 --> 00:08:19,680 Speaker 1: the Asia Pacific day as well as the US day. 158 00:08:19,760 --> 00:08:22,320 Speaker 1: And so, you know, to use a phrase that you 159 00:08:22,400 --> 00:08:24,520 Speaker 1: used earlier, you both have front row seats to a 160 00:08:24,520 --> 00:08:27,280 Speaker 1: different kind of thing, which is like how the markets 161 00:08:27,320 --> 00:08:31,000 Speaker 1: and the coverage and the companies are different. As you know, 162 00:08:31,720 --> 00:08:35,280 Speaker 1: the the day shifts and you know, like Asia starts 163 00:08:35,280 --> 00:08:37,160 Speaker 1: going to sleep in Europe starts waking up, and then 164 00:08:37,200 --> 00:08:39,920 Speaker 1: the US comes on stream. What have been some of 165 00:08:40,000 --> 00:08:42,080 Speaker 1: the kinds of stories coming out of Asia that you've 166 00:08:42,080 --> 00:08:45,520 Speaker 1: been able to edit that sort of give folks a 167 00:08:45,559 --> 00:08:48,400 Speaker 1: sense of that global scoop of our coverage. I remember 168 00:08:49,040 --> 00:08:51,400 Speaker 1: from the get go, I think it was early January 169 00:08:51,600 --> 00:08:55,400 Speaker 1: we started getting stories out of Japan UM and there 170 00:08:55,440 --> 00:08:59,880 Speaker 1: was some interesting stories about how the Japanese UM Cryptox 171 00:09:00,040 --> 00:09:04,800 Speaker 1: Changed Association was overhauling listing rules for crypto tokens, and 172 00:09:04,800 --> 00:09:08,400 Speaker 1: it was really like the reporter in Tokyo was new 173 00:09:08,440 --> 00:09:10,360 Speaker 1: to the subject. I was very new to the subject, 174 00:09:10,840 --> 00:09:13,360 Speaker 1: but it was a very interesting thing because it was 175 00:09:13,400 --> 00:09:17,400 Speaker 1: a complete rethink of how they were going, you know, 176 00:09:17,679 --> 00:09:21,200 Speaker 1: through the process of of screening new tokens for listings. 177 00:09:21,600 --> 00:09:26,280 Speaker 1: I mean that was one UM. The whole Korea Terraform 178 00:09:26,360 --> 00:09:29,880 Speaker 1: Lab story has been another. UM Korea for those who 179 00:09:29,920 --> 00:09:33,240 Speaker 1: aren't too familiar with this story, has launched an investigation 180 00:09:34,040 --> 00:09:38,720 Speaker 1: into the circumstances around Terraform Labs and the collapse of 181 00:09:38,760 --> 00:09:42,199 Speaker 1: the terra USD stable coin, and there's been a lot 182 00:09:42,240 --> 00:09:45,200 Speaker 1: of stories around that and how that that sort of 183 00:09:45,240 --> 00:09:49,000 Speaker 1: moved through the judicial system with prosecutors doing raid on 184 00:09:49,040 --> 00:09:52,480 Speaker 1: different crypto exchanges, people's homes and things like that that 185 00:09:52,559 --> 00:09:54,600 Speaker 1: have been breaking over the past month or two and 186 00:09:54,640 --> 00:09:56,800 Speaker 1: has been very very interesting and rewarding to be part 187 00:09:56,840 --> 00:10:03,880 Speaker 1: of as well. And and uh, you know, you being 188 00:10:03,960 --> 00:10:07,640 Speaker 1: in our London office are often interacting obviously with folks there, 189 00:10:07,679 --> 00:10:11,120 Speaker 1: but also like our teams and Brussels who cover the 190 00:10:11,120 --> 00:10:15,079 Speaker 1: the European Union, or you know, other like our fintech 191 00:10:15,120 --> 00:10:18,800 Speaker 1: reporters who are writing about various elements of the the 192 00:10:18,960 --> 00:10:22,320 Speaker 1: UK market. What has it been like for you now 193 00:10:22,440 --> 00:10:25,839 Speaker 1: being in this endless see of stuff to do and 194 00:10:25,920 --> 00:10:30,600 Speaker 1: people to encounter. It's been great. I mean, I Phil 195 00:10:30,760 --> 00:10:33,720 Speaker 1: was like everyone deserving of a holiday, so he was 196 00:10:33,760 --> 00:10:35,680 Speaker 1: gone for a few weeks and I really got to 197 00:10:35,720 --> 00:10:39,720 Speaker 1: appreciate the you know how hard it's been like to 198 00:10:39,800 --> 00:10:42,440 Speaker 1: cover two different time zones, right, because you know, there's 199 00:10:42,440 --> 00:10:45,400 Speaker 1: always someone waking up, always someone needing an edit, always something, 200 00:10:45,640 --> 00:10:47,679 Speaker 1: someone with a story idea, which is great because it's 201 00:10:47,679 --> 00:10:50,560 Speaker 1: better to have more than less, but it is quite consuming. 202 00:10:51,160 --> 00:10:55,400 Speaker 1: Um As for the sort of geographical distribution of things 203 00:10:55,400 --> 00:10:58,320 Speaker 1: that it's been really fascinating because obviously with the Bloomberg 204 00:10:58,400 --> 00:11:01,240 Speaker 1: we have reporters everywhere, and so while we might not 205 00:11:01,320 --> 00:11:04,000 Speaker 1: have Crypto specific reporters everywhere, you know, Crypto is a 206 00:11:04,040 --> 00:11:06,880 Speaker 1: story that touches upon everything you mentioned. Brussels, so the 207 00:11:06,920 --> 00:11:10,680 Speaker 1: ECB is thinking of launching a digital token, right, so 208 00:11:10,679 --> 00:11:12,560 Speaker 1: I've been speaking to the reporter there and trying to 209 00:11:12,559 --> 00:11:14,600 Speaker 1: figure out sort of what interesting stories we can do. 210 00:11:15,160 --> 00:11:17,120 Speaker 1: And you know, there was a big conference in Paris, 211 00:11:17,120 --> 00:11:18,960 Speaker 1: so we were lazing with the reporter in Paris. So 212 00:11:19,000 --> 00:11:23,280 Speaker 1: it's it's just been really really fascinating, um and interesting 213 00:11:23,480 --> 00:11:26,240 Speaker 1: to cover it as a global story rather than just 214 00:11:26,480 --> 00:11:29,240 Speaker 1: you know, a local story, which it's not, because crypto 215 00:11:29,480 --> 00:11:33,280 Speaker 1: in its very nature is a global sort of asset 216 00:11:33,360 --> 00:11:36,240 Speaker 1: class that doesn't have time zones or you know, doesn't 217 00:11:36,240 --> 00:11:39,840 Speaker 1: never shuts down, never sleeps. Coming up some more of 218 00:11:39,880 --> 00:11:42,000 Speaker 1: what we're watching in crypto as we head into next 219 00:11:42,040 --> 00:11:45,520 Speaker 1: week from Bloomberg Crypto Senior editors Anna Arera and Philip 220 00:11:45,520 --> 00:11:57,360 Speaker 1: Blogger Cranso. One of the the elements of crypto that 221 00:11:57,440 --> 00:11:59,400 Speaker 1: is global. It means that our coverage has to be global, 222 00:11:59,400 --> 00:12:01,520 Speaker 1: but it also means in lots of different places. So 223 00:12:01,720 --> 00:12:04,520 Speaker 1: you know, if you are listening to this podcast and 224 00:12:04,520 --> 00:12:06,160 Speaker 1: you've listened to the end, first of all, shout out 225 00:12:06,160 --> 00:12:07,800 Speaker 1: to you, thank you for listening to the end. But 226 00:12:07,840 --> 00:12:09,280 Speaker 1: one of the things you've heard is, you know, we 227 00:12:09,280 --> 00:12:11,120 Speaker 1: always say hey, you can find more of our coverage 228 00:12:11,160 --> 00:12:14,480 Speaker 1: on the terminal on Bloomberg dot com or follow us 229 00:12:14,480 --> 00:12:19,200 Speaker 1: on Twitter. We are also responsible for things like a 230 00:12:19,240 --> 00:12:23,000 Speaker 1: newsletter we're responsible for. You know, we have colleagues who 231 00:12:23,040 --> 00:12:27,720 Speaker 1: work on uh Bloomberg Television where they do various types 232 00:12:27,760 --> 00:12:30,680 Speaker 1: of crypto coverage, including a weekly show. In addition to 233 00:12:30,760 --> 00:12:33,200 Speaker 1: what we do on Bloomberg Television, we also have a 234 00:12:33,280 --> 00:12:36,280 Speaker 1: video streaming product called quick Take, you know, which has 235 00:12:36,440 --> 00:12:39,800 Speaker 1: sort of more social friendly videos that are often quite short, 236 00:12:39,880 --> 00:12:43,960 Speaker 1: quite accessible, regularly cover crypto and a range of other topics. 237 00:12:44,760 --> 00:12:49,920 Speaker 1: I sometimes think about how many different ways people who 238 00:12:50,000 --> 00:12:53,040 Speaker 1: are interested in crypto like have to get access to 239 00:12:53,080 --> 00:12:57,720 Speaker 1: their information, you know, whether it's they're watching TikTok's if 240 00:12:57,720 --> 00:13:00,680 Speaker 1: people explaining why they bought a certain toka, or three 241 00:13:00,679 --> 00:13:03,760 Speaker 1: hour long YouTube videos of somebody going on a deep 242 00:13:03,800 --> 00:13:10,719 Speaker 1: investigative dive into unnamed companies, dubious financial statements. What are 243 00:13:10,800 --> 00:13:14,160 Speaker 1: y'all reading or watching or listening to? That is you know, 244 00:13:14,240 --> 00:13:17,640 Speaker 1: kind of crypto related but doesn't come from Bloomberg right now. 245 00:13:17,760 --> 00:13:20,319 Speaker 1: I mean, I know it makes me sound very millennial, 246 00:13:20,400 --> 00:13:22,240 Speaker 1: but I do still get a lot of stuff out 247 00:13:22,280 --> 00:13:25,319 Speaker 1: from Twitter, and you know, because I do find people 248 00:13:25,360 --> 00:13:28,319 Speaker 1: still are able to share even concise opinions, and then 249 00:13:28,320 --> 00:13:30,680 Speaker 1: from there then on they linked me to other places, 250 00:13:31,240 --> 00:13:33,040 Speaker 1: and I know it makes me sound very boring. And 251 00:13:33,080 --> 00:13:36,880 Speaker 1: obviously podcasts are also something that's easy to learn from 252 00:13:36,920 --> 00:13:40,160 Speaker 1: because you can be doing something else while you're you're listening, 253 00:13:40,760 --> 00:13:44,240 Speaker 1: and that's quite valuable because reading, you know, we might 254 00:13:44,240 --> 00:13:47,480 Speaker 1: not actually have the time, or you know, you just 255 00:13:47,520 --> 00:13:50,000 Speaker 1: need to be more focused. But still do read all 256 00:13:50,040 --> 00:13:51,920 Speaker 1: of our stories from the beginning to the end because 257 00:13:51,960 --> 00:13:54,920 Speaker 1: we care about kickers very much. We take much you know, 258 00:13:55,000 --> 00:13:57,760 Speaker 1: pride in the last quote, so please read it. I did. 259 00:13:57,840 --> 00:14:00,560 Speaker 1: I didn't tend to read the Financial Times scrypto coverage. 260 00:14:00,720 --> 00:14:03,600 Speaker 1: Shout out to my former colleagues. Yeah, shout shout out. 261 00:14:04,320 --> 00:14:07,280 Speaker 1: They break a fair bit of news on crypto. They write, 262 00:14:07,679 --> 00:14:12,080 Speaker 1: you know, fairly critically about crypto. I also, you know, 263 00:14:12,200 --> 00:14:16,040 Speaker 1: as a general sort of I enjoy the Bloomberg big Takes. 264 00:14:16,360 --> 00:14:20,280 Speaker 1: I think that the format is nice, and you know, 265 00:14:20,320 --> 00:14:24,960 Speaker 1: they're usually almost always stories that that kind of hit 266 00:14:25,000 --> 00:14:27,880 Speaker 1: it right on the bottom, well reported, well executed. While 267 00:14:27,880 --> 00:14:30,520 Speaker 1: I did, I'm very proud to see that the Crypto 268 00:14:30,600 --> 00:14:34,360 Speaker 1: team has been punched I think above its own weight 269 00:14:34,800 --> 00:14:38,480 Speaker 1: in terms of getting stories on as big takes, and 270 00:14:38,600 --> 00:14:41,760 Speaker 1: I think that's very nice for somebody who's not familiar 271 00:14:41,800 --> 00:14:43,560 Speaker 1: with the big take. How would you describe it? I 272 00:14:43,560 --> 00:14:47,680 Speaker 1: think it's a you know, selection of basically highlighting our 273 00:14:47,720 --> 00:14:52,080 Speaker 1: best work, um be it often often it's enterprise of 274 00:14:52,160 --> 00:14:56,960 Speaker 1: some sort big feature stories, but sometimes it's you know, 275 00:14:57,120 --> 00:15:01,480 Speaker 1: big breaking news that we are just giving the royal treatment. 276 00:15:01,920 --> 00:15:05,520 Speaker 1: Um I believe there was a story about Goldman Sachs 277 00:15:05,560 --> 00:15:10,080 Speaker 1: and you know there their travails with community consumer banking 278 00:15:10,080 --> 00:15:15,240 Speaker 1: fairly recently. That was off a breaking news, but but 279 00:15:15,720 --> 00:15:17,480 Speaker 1: given the sort of big treatment, so it could be 280 00:15:17,480 --> 00:15:20,240 Speaker 1: a little bit of everything. But usually they are stories 281 00:15:20,280 --> 00:15:23,760 Speaker 1: that have a good visual element, a good graphical element, 282 00:15:24,160 --> 00:15:28,200 Speaker 1: nice storytelling and and very interesting information in them. There 283 00:15:28,240 --> 00:15:30,760 Speaker 1: was a great big take a couple of weeks ago 284 00:15:31,320 --> 00:15:35,240 Speaker 1: about mayonnaise, like for real, for real, you know Tracy Alloway, 285 00:15:35,240 --> 00:15:37,160 Speaker 1: who some of you may have heard because she's obviously 286 00:15:37,200 --> 00:15:41,200 Speaker 1: part of the Odd Lots squad. But the title of 287 00:15:41,240 --> 00:15:44,120 Speaker 1: that story was what the Great Mayonnaise Inflation Mystery can 288 00:15:44,160 --> 00:15:48,200 Speaker 1: tell Us about prices? And it was just this incredibly 289 00:15:48,280 --> 00:15:52,880 Speaker 1: well written deep dive into you know, inflation and supply 290 00:15:53,000 --> 00:15:58,320 Speaker 1: chains and how things how prices are calculated, using mayonnaise 291 00:15:58,560 --> 00:16:00,920 Speaker 1: as an example, and as somebody it doesn't even particularly 292 00:16:00,960 --> 00:16:05,120 Speaker 1: like maybe he is so sort of fascinated by by that. 293 00:16:05,440 --> 00:16:07,280 Speaker 1: So that was, if you will excuse the pun, a 294 00:16:07,280 --> 00:16:10,760 Speaker 1: good flavor of what the Big take has to offer 295 00:16:11,120 --> 00:16:14,160 Speaker 1: on that awful pun note, I think I'm gonna let 296 00:16:14,240 --> 00:16:17,280 Speaker 1: y'all go back to your well. Hopefully Anna you can 297 00:16:17,280 --> 00:16:19,440 Speaker 1: get out of the physical closet that you are in 298 00:16:19,520 --> 00:16:22,280 Speaker 1: and back to your your your virtual or real desk. 299 00:16:22,640 --> 00:16:24,240 Speaker 1: And Phil, thank you so much for as always for 300 00:16:24,320 --> 00:16:31,000 Speaker 1: joining us from Zurich. Thank you, thank you. You can 301 00:16:31,040 --> 00:16:33,240 Speaker 1: find all of our work on the Bloomberg Terminal, on 302 00:16:33,240 --> 00:16:36,360 Speaker 1: Bloomberg dot com, on Twitter, and in that Bloomberg Crypto 303 00:16:36,440 --> 00:16:40,600 Speaker 1: newsletter that I mentioned. Anna is at Anna Arera on Twitter. 304 00:16:40,800 --> 00:16:44,680 Speaker 1: That's I R R E r A, and Phil is 305 00:16:44,760 --> 00:16:48,760 Speaker 1: at lager Crancer. That's l A g e r k 306 00:16:49,120 --> 00:16:54,200 Speaker 1: r A n s e R. On the next episode 307 00:16:54,240 --> 00:16:57,280 Speaker 1: of Bloomberg Crypto, n f T prices might have cooled 308 00:16:57,320 --> 00:17:01,200 Speaker 1: significantly from their recent highs, but luxury brands are still 309 00:17:01,240 --> 00:17:04,680 Speaker 1: betting that clients wants exposure to these tokens. For more 310 00:17:04,760 --> 00:17:07,399 Speaker 1: on why brands like Gucci and Tiffany are embracing n 311 00:17:07,440 --> 00:17:10,040 Speaker 1: f T s, tune into the episode dropping on Monday, 312 00:17:10,080 --> 00:17:21,800 Speaker 1: August twenty nine. This is Bloomberg Crypto, a daily podcast 313 00:17:21,840 --> 00:17:24,960 Speaker 1: from Bloomberg and I Heart Radio. For more shows from 314 00:17:24,960 --> 00:17:28,359 Speaker 1: I Heart Radio, visit the I Heart Radio app, Apple Podcasts, 315 00:17:28,520 --> 00:17:32,480 Speaker 1: or wherever you get your podcasts. Send us your comments, questions, 316 00:17:32,520 --> 00:17:35,360 Speaker 1: or suggestions for the show to Crypto at Bloomberg dot 317 00:17:35,400 --> 00:17:40,320 Speaker 1: net or find us on Twitter We're at Crypto. The 318 00:17:40,400 --> 00:17:43,960 Speaker 1: supervising producer of Bloomberg Crypto is Vicky very Galina. Our 319 00:17:44,000 --> 00:17:48,600 Speaker 1: senior producer is Janet Babin. Our producer is Sharon Burriro, 320 00:17:49,640 --> 00:17:54,440 Speaker 1: Associate producer is Ty Butler. Desta wonder At is our engineer. 321 00:17:55,600 --> 00:18:00,520 Speaker 1: Original music by Leo Sidrin. I'm Stacy, Marie is Shmell. 322 00:18:00,520 --> 00:18:19,920 Speaker 1: Have a great weekend. M