1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,520 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,439 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,880 Speaker 1: at Bloomberg dot com slash podcast. All right, folks, looking 7 00:00:22,920 --> 00:00:26,480 Speaker 1: at bitcoin once again. It is up five percent today 8 00:00:26,520 --> 00:00:31,120 Speaker 1: called as to the green Side, putting it just over 9 00:00:31,320 --> 00:00:35,520 Speaker 1: fifty one thousand dollars per coin. Let's get a sense 10 00:00:35,560 --> 00:00:37,960 Speaker 1: of what's going on with bitcoin at All Things Crypto. 11 00:00:38,040 --> 00:00:40,720 Speaker 1: We're fortunate to welcome our next guest, melt Him Demire's 12 00:00:41,000 --> 00:00:44,040 Speaker 1: chief strategy officer for coin Shares Group. They have about 13 00:00:44,040 --> 00:00:47,760 Speaker 1: four billion dollars in assets under management. Matt, what do 14 00:00:47,800 --> 00:00:50,440 Speaker 1: you think is driving your Actually I can't wait to 15 00:00:50,479 --> 00:00:53,600 Speaker 1: get her on the line because I have so many questions. 16 00:00:54,200 --> 00:00:58,560 Speaker 1: One of the products that coin share offers is an 17 00:00:58,560 --> 00:01:01,920 Speaker 1: e t P and exchange traded product, and of course 18 00:01:01,960 --> 00:01:03,760 Speaker 1: there haven't been any e t f s yet for 19 00:01:03,800 --> 00:01:07,600 Speaker 1: buying bitcoin, and I think, you know, it's just why 20 00:01:07,600 --> 00:01:10,280 Speaker 1: why why is they just haven't been allowed by regulators, 21 00:01:10,520 --> 00:01:12,760 Speaker 1: you know, the Winkle Vye. We're trying to get one 22 00:01:12,800 --> 00:01:16,360 Speaker 1: out there, and there are a number of, um, really 23 00:01:16,400 --> 00:01:19,440 Speaker 1: reputable people working to get to get an e t 24 00:01:19,640 --> 00:01:22,480 Speaker 1: F out there. Um. One of the main problems, Paul, 25 00:01:22,640 --> 00:01:26,040 Speaker 1: is that when you go and buy something like bitcoin 26 00:01:26,080 --> 00:01:27,640 Speaker 1: that you don't understand in the first place, and you 27 00:01:27,680 --> 00:01:29,520 Speaker 1: have to figure out where to put it in the wallet, 28 00:01:29,520 --> 00:01:32,920 Speaker 1: then inevitably, as I did, you lose your password and 29 00:01:32,920 --> 00:01:37,759 Speaker 1: then it's just lost forever. It's terrifying. So I'd rather 30 00:01:37,800 --> 00:01:40,240 Speaker 1: be able to buy an e t F or um 31 00:01:40,280 --> 00:01:43,240 Speaker 1: they sell an e t P and I wonder what 32 00:01:43,280 --> 00:01:46,280 Speaker 1: it is. It's apparently it's physically backed e t P. Alright, 33 00:01:46,319 --> 00:01:48,279 Speaker 1: we have Mel tem back whether Mel Mel temp Demere's 34 00:01:48,320 --> 00:01:50,920 Speaker 1: chief strategy officer for coin Chairs Group about some Thanks 35 00:01:50,960 --> 00:01:52,640 Speaker 1: so much for joining us. I'd love to just get 36 00:01:52,720 --> 00:01:58,480 Speaker 1: your thoughts initially here on what's driving bitcoin at Hey, guys, 37 00:01:58,480 --> 00:02:01,120 Speaker 1: great to be here, Thanks for having me. Um. Look, 38 00:02:01,200 --> 00:02:04,640 Speaker 1: what's driving bitcoin is with driving I think all aspects 39 00:02:04,680 --> 00:02:07,200 Speaker 1: in the macro market more broadly, a lot of drive 40 00:02:07,240 --> 00:02:10,560 Speaker 1: powder on the sidelines, over five trillion of cash, higher 41 00:02:10,800 --> 00:02:14,359 Speaker 1: record savings UM, and we're seeing asset prices going up 42 00:02:14,400 --> 00:02:17,240 Speaker 1: across the board. Bitcoin is not immune to that. So 43 00:02:17,280 --> 00:02:20,680 Speaker 1: I think the macro environment is definitely driving some of 44 00:02:20,720 --> 00:02:24,280 Speaker 1: the inflows into bitcoin, but more than anything else, over 45 00:02:24,320 --> 00:02:27,600 Speaker 1: the last six months, we have seen the sentiment and 46 00:02:27,720 --> 00:02:32,519 Speaker 1: demand for bitcoin shift dramatically. We have corporate treasurers and 47 00:02:32,639 --> 00:02:36,600 Speaker 1: the renown spot managers, Bridgewater, black Rock, all of the 48 00:02:36,639 --> 00:02:41,240 Speaker 1: world's largest asset managers now talking about and allocating to bitcoin. 49 00:02:41,720 --> 00:02:44,120 Speaker 1: So overall, really, the way I think about it is 50 00:02:44,160 --> 00:02:48,600 Speaker 1: sentiment more a brilliant, more ulish than ever. Sentiment translates 51 00:02:48,600 --> 00:02:52,280 Speaker 1: into demand. There is more demand than ever. Bitcoin has 52 00:02:52,320 --> 00:02:56,160 Speaker 1: a limited supply um. Only eighteen and a half million 53 00:02:56,240 --> 00:03:00,520 Speaker 1: in circulation today applies CAPTI twenty one million. Happens when 54 00:03:00,560 --> 00:03:02,840 Speaker 1: you have something rare that there's a lot of demands for. 55 00:03:03,360 --> 00:03:05,959 Speaker 1: As demand goes up, price goes up. And then the 56 00:03:06,040 --> 00:03:08,800 Speaker 1: last thing I'll just mention from the market structure perspective, 57 00:03:08,919 --> 00:03:13,680 Speaker 1: we're seeing record inflows week after week into structured products. 58 00:03:13,840 --> 00:03:17,720 Speaker 1: Last week alone three million. First two months of this year, 59 00:03:17,919 --> 00:03:19,720 Speaker 1: especially the first month and a half when we have 60 00:03:19,840 --> 00:03:23,160 Speaker 1: to into February, over two billions of inflows compared to 61 00:03:23,280 --> 00:03:28,480 Speaker 1: seven billion for the entirety of last year. So yeah, 62 00:03:28,520 --> 00:03:29,840 Speaker 1: I want to ask you about one of those. So 63 00:03:30,000 --> 00:03:34,080 Speaker 1: I was looking at your exchange traded product. You've got 64 00:03:34,720 --> 00:03:40,000 Speaker 1: physically backed e t P that offers exposure bitcoin. So 65 00:03:40,040 --> 00:03:43,640 Speaker 1: what does that mean? Does that mean you hold bitcoin 66 00:03:44,000 --> 00:03:46,200 Speaker 1: basically in cold storage? For me if I buy the 67 00:03:46,200 --> 00:03:50,440 Speaker 1: e t P exactly and more than that, we are 68 00:03:50,520 --> 00:03:55,000 Speaker 1: the world's first asset manager to actually give you a 69 00:03:55,200 --> 00:03:59,000 Speaker 1: certified aspectation from Armanino LP, one of the world's large 70 00:03:59,040 --> 00:04:04,080 Speaker 1: audit firms, every thirty minutes our blockchain wallet and confirmed 71 00:04:04,480 --> 00:04:07,000 Speaker 1: that that bitcoin is there. You can check that on 72 00:04:07,040 --> 00:04:09,920 Speaker 1: our website as well. So we are the first ones 73 00:04:10,000 --> 00:04:12,880 Speaker 1: to provide a blockchain based at a station where you 74 00:04:12,880 --> 00:04:15,280 Speaker 1: can actually see we hold the bitcoin, you say, which 75 00:04:15,320 --> 00:04:18,920 Speaker 1: is pretty cool. Alright, So meltem it was a big 76 00:04:18,920 --> 00:04:21,479 Speaker 1: news when Elon Muska and Tesla they put a billion 77 00:04:21,520 --> 00:04:24,719 Speaker 1: five of bitcoin on their balance sheet. When will we 78 00:04:24,800 --> 00:04:30,800 Speaker 1: see a G twenty economy brace bitcoin? You know what, 79 00:04:31,040 --> 00:04:33,400 Speaker 1: I think, by the end of this year it will 80 00:04:33,600 --> 00:04:38,040 Speaker 1: happen that you can you can print that that's bit 81 00:04:38,120 --> 00:04:39,599 Speaker 1: to a print. I've predicted by the end of this 82 00:04:39,680 --> 00:04:42,320 Speaker 1: year it will happen. Look at the end of the day. Um, 83 00:04:42,360 --> 00:04:44,599 Speaker 1: I think there are a lot of jurisdictions right now 84 00:04:44,640 --> 00:04:47,600 Speaker 1: that are competing for talent and for business. You look 85 00:04:47,600 --> 00:04:50,479 Speaker 1: at the exodus of financial services firms from New York. 86 00:04:50,560 --> 00:04:53,880 Speaker 1: New York is not a friendly state for finance or 87 00:04:53,880 --> 00:04:57,159 Speaker 1: for cryptocurrency for that matter. So businesses are going to 88 00:04:57,279 --> 00:05:01,000 Speaker 1: go to jurisdictions where they are welcomed. And certainly as 89 00:05:01,040 --> 00:05:03,960 Speaker 1: we look at the economic turmoil, UM, that's the resulting 90 00:05:04,160 --> 00:05:08,279 Speaker 1: from this, this pandemic. The crypto industry is the growing industry, 91 00:05:08,360 --> 00:05:12,520 Speaker 1: contributes billions of dollars in tax revenue, UM, creates a 92 00:05:12,520 --> 00:05:15,200 Speaker 1: lot of jobs. So I would not be surprised if 93 00:05:15,240 --> 00:05:19,120 Speaker 1: one country, one twenty economy really tries to make itself 94 00:05:19,200 --> 00:05:23,080 Speaker 1: appealing to crypto entrepreneurs who are dealing with an increasingly 95 00:05:23,240 --> 00:05:27,040 Speaker 1: challenging regulatory environment. Got a target for us? Where do 96 00:05:27,080 --> 00:05:30,960 Speaker 1: you think bitcoin is going into? Uh? You know, I 97 00:05:31,080 --> 00:05:33,360 Speaker 1: say name or price, but no date or name and 98 00:05:33,440 --> 00:05:35,640 Speaker 1: date and no price. Look, here's what else say. I 99 00:05:35,680 --> 00:05:37,599 Speaker 1: have a hat that's been made for me that says 100 00:05:37,600 --> 00:05:39,880 Speaker 1: bitcoin Henry K and I expect all you wearing that 101 00:05:40,000 --> 00:05:43,320 Speaker 1: hat for the end of this year. Wow, very good. 102 00:05:43,360 --> 00:05:46,280 Speaker 1: What's the biggest risk to bitcoin, meltem It's had such 103 00:05:46,320 --> 00:05:49,680 Speaker 1: a great room. What's the biggest risk thirty seconds the 104 00:05:49,680 --> 00:05:53,920 Speaker 1: biggest risk, honestly, I think um cyclicality. Right so we're 105 00:05:53,960 --> 00:05:56,800 Speaker 1: in an a bullish, a bulliant market cycle right now. 106 00:05:57,240 --> 00:05:59,760 Speaker 1: There is a cyclical trend and bitcoin in a secular 107 00:06:00,000 --> 00:06:03,000 Speaker 1: and beast. The clickal trends, I think can be challenging 108 00:06:03,120 --> 00:06:07,159 Speaker 1: to confidence. It's particularly investor confidence. So I think the 109 00:06:07,200 --> 00:06:10,720 Speaker 1: thing we're really looking for is the futures curve and 110 00:06:11,520 --> 00:06:14,520 Speaker 1: its trade or suniments. That's really gonna drive Tyson. Hey, 111 00:06:14,560 --> 00:06:16,440 Speaker 1: malt Tom, thanks so much for joining us. As always, 112 00:06:16,480 --> 00:06:18,800 Speaker 1: we love to get your thoughts on all things crypto. 113 00:06:18,880 --> 00:06:24,559 Speaker 1: Meltemp demers, chief strategy officer for coin Share Group. US 114 00:06:24,760 --> 00:06:28,279 Speaker 1: retail sales they surged in Januate by the most in 115 00:06:28,440 --> 00:06:31,960 Speaker 1: seven months, beating all estimates. So really just some strong 116 00:06:32,040 --> 00:06:34,640 Speaker 1: numbers showing that the consumer, at least in January was 117 00:06:34,760 --> 00:06:37,440 Speaker 1: quite active. Let's break down those numbers see what's behind them. 118 00:06:37,440 --> 00:06:39,640 Speaker 1: We can do that with Craig Johnson. He's the president 119 00:06:39,800 --> 00:06:42,920 Speaker 1: of Customer Growth Partners, joining us on the phone from Connecticut. Craig, 120 00:06:42,920 --> 00:06:44,680 Speaker 1: thanks so much for joining us here. You look at 121 00:06:44,680 --> 00:06:49,000 Speaker 1: the numbers today much better than expected. What do you 122 00:06:49,080 --> 00:06:53,840 Speaker 1: think are the real drivers behind the consumer here? Well, 123 00:06:54,440 --> 00:06:57,520 Speaker 1: I guess as a number of drivers, we weren't surprised. Frankly. 124 00:06:57,640 --> 00:07:00,200 Speaker 1: We we just issued our annual forecast for reach all 125 00:07:00,760 --> 00:07:03,400 Speaker 1: um ten days or so ago, and we called for 126 00:07:03,480 --> 00:07:05,800 Speaker 1: growth of eight point one percent year of a year. 127 00:07:06,000 --> 00:07:10,560 Speaker 1: And that's exceptional growth, the strongest this century. Um. But 128 00:07:10,800 --> 00:07:12,880 Speaker 1: if you look at the drivers behind you that you've 129 00:07:12,880 --> 00:07:16,360 Speaker 1: got to start with personal income. Personal income has been rising. Uh. 130 00:07:16,480 --> 00:07:19,440 Speaker 1: Job growth has been decent, not great, but over the 131 00:07:19,520 --> 00:07:22,800 Speaker 1: last you know, six or six months plus has been strong. Um. 132 00:07:23,160 --> 00:07:27,120 Speaker 1: And uh. Last but other factor is is that the 133 00:07:27,160 --> 00:07:30,160 Speaker 1: amount of personal savings that people have, households have on 134 00:07:30,200 --> 00:07:33,840 Speaker 1: the balance sheet is exceptional. A year ago was about 135 00:07:33,880 --> 00:07:36,880 Speaker 1: one point two trillion. Now it's double to two point 136 00:07:36,920 --> 00:07:41,480 Speaker 1: four trillion. That's an an incremental one point two trillion 137 00:07:41,520 --> 00:07:45,640 Speaker 1: dollars in dry powder available for spending. Uh. So these 138 00:07:45,640 --> 00:07:47,720 Speaker 1: are some of the factors. Are other things are going anyway? 139 00:07:47,800 --> 00:07:50,760 Speaker 1: You know that people feeling better about vaccinations and so forth, 140 00:07:50,800 --> 00:07:52,920 Speaker 1: and those are the factor key factors. I think it 141 00:07:52,960 --> 00:07:57,840 Speaker 1: bears repeating your forecast, bears repeating you expect an eight 142 00:07:57,880 --> 00:08:02,200 Speaker 1: point one percent growth annually in retail sales. And this 143 00:08:02,280 --> 00:08:07,600 Speaker 1: is not including cars, gas, restaurants. Um that is huge 144 00:08:07,640 --> 00:08:10,280 Speaker 1: and as you said, the biggest this century. Where do 145 00:08:10,320 --> 00:08:13,040 Speaker 1: you think consumers are going to spend that money? What 146 00:08:13,120 --> 00:08:17,920 Speaker 1: are they gonna buy? The Well, it's broad based across categories, 147 00:08:17,920 --> 00:08:21,080 Speaker 1: but the strongest growing categories. First of all, anything associated 148 00:08:21,080 --> 00:08:27,240 Speaker 1: with a home, home of approvement, home furnishings, uh, etcetera. Uh, 149 00:08:27,320 --> 00:08:29,520 Speaker 1: the online side of it is going to grow about 150 00:08:29,560 --> 00:08:33,240 Speaker 1: twenty year of a year, again, very strong growth, and 151 00:08:33,679 --> 00:08:36,600 Speaker 1: this January it was two year of a year. Uh, 152 00:08:36,679 --> 00:08:40,320 Speaker 1: so that's that's a major category. Um. Uh. Personal care 153 00:08:40,400 --> 00:08:43,800 Speaker 1: healthy and personal care is growing category. That's gonna rise. 154 00:08:44,280 --> 00:08:47,480 Speaker 1: And Uh. The other factor that comes into into it 155 00:08:47,520 --> 00:08:50,040 Speaker 1: is is a small category but very strong, and that's 156 00:08:50,040 --> 00:08:53,360 Speaker 1: sporting goods. This has been a stellar year for sporting goods. 157 00:08:53,400 --> 00:08:57,880 Speaker 1: Anything associated with the outdoors, outdoor living has been strong. Creig. 158 00:08:57,920 --> 00:08:59,880 Speaker 1: How much of that of your eight point one percent 159 00:09:00,040 --> 00:09:07,360 Speaker 1: annual forecast is predicated upon additional fiscal stimulus? Um? Uh 160 00:09:07,720 --> 00:09:12,280 Speaker 1: really only modestly. We're assuming that there's gonna be First 161 00:09:12,280 --> 00:09:17,680 Speaker 1: of all, there's existing uh incremental unemployment benefits, etcetera already 162 00:09:17,679 --> 00:09:22,520 Speaker 1: in the system, and we're anticipating some increase, but only 163 00:09:22,600 --> 00:09:25,400 Speaker 1: a modest increase. And we're in assuming it has to 164 00:09:25,440 --> 00:09:27,960 Speaker 1: be the full you know, with one point nine you know, 165 00:09:28,080 --> 00:09:31,160 Speaker 1: trillion dollars. Uh, it's just even a fraction of that 166 00:09:31,800 --> 00:09:35,320 Speaker 1: is included in our forecast. Uh. Most of the growth 167 00:09:35,360 --> 00:09:38,000 Speaker 1: that we're seeing comes from the basics, in other words, 168 00:09:38,120 --> 00:09:41,320 Speaker 1: job growth and then income growth that goes along with 169 00:09:41,440 --> 00:09:44,800 Speaker 1: job growth. UH. And that's the key factor along with 170 00:09:44,920 --> 00:09:51,280 Speaker 1: this this again the UH buoyant, buoyant factor of having 171 00:09:51,640 --> 00:09:55,120 Speaker 1: one point two trillion dollars extra dry powder available to spin. 172 00:09:55,480 --> 00:09:58,160 Speaker 1: Those are the those are the real key drivers. Are 173 00:09:58,160 --> 00:09:59,800 Speaker 1: you worried about rates at all? I mean, if people 174 00:09:59,800 --> 00:10:03,600 Speaker 1: are going to spend money, um, and that's gonna boost prices, 175 00:10:03,640 --> 00:10:07,320 Speaker 1: you'd assume if demand goes up and not, as you know, 176 00:10:07,360 --> 00:10:10,120 Speaker 1: more than supply does, does the FED then eventually have 177 00:10:10,280 --> 00:10:14,920 Speaker 1: to go to neutral and even thinking about shifting into drive. Um, 178 00:10:15,080 --> 00:10:20,160 Speaker 1: we're anticipating we're already beginning to see some uh increases 179 00:10:20,240 --> 00:10:23,040 Speaker 1: in pricing, obviously in in the in the energy sector 180 00:10:23,400 --> 00:10:27,000 Speaker 1: that started to take up a very strongly over recent 181 00:10:27,679 --> 00:10:31,200 Speaker 1: days and weeks UH, and home related things. Otherwise, price 182 00:10:31,240 --> 00:10:33,560 Speaker 1: of lumbers going up. So we are going to see 183 00:10:33,600 --> 00:10:37,120 Speaker 1: some inflation coming into the mix. We don't anticipate it 184 00:10:37,360 --> 00:10:40,800 Speaker 1: that it's going to be sufficient enough to be you know, 185 00:10:40,840 --> 00:10:44,360 Speaker 1: like the olden days of you know, the early nine anything, 186 00:10:44,440 --> 00:10:46,400 Speaker 1: nothing near that, But we do it just is going 187 00:10:46,440 --> 00:10:49,200 Speaker 1: to take up a little bit. But we're not you know, 188 00:10:49,760 --> 00:10:54,240 Speaker 1: the predicting freed UH decisions is above above my pay grade. 189 00:10:54,920 --> 00:10:59,840 Speaker 1: But we do anticipate some inflation creeping into into the mix. Correct. 190 00:11:00,000 --> 00:11:03,160 Speaker 1: It's the biggest risk to your retail sales forecast this year. 191 00:11:04,320 --> 00:11:07,040 Speaker 1: The biggest risk is if job growth jobs off again, 192 00:11:07,160 --> 00:11:10,480 Speaker 1: job growth and personal income growth. That's that's that's the 193 00:11:10,520 --> 00:11:13,959 Speaker 1: predetermined factor of retail sales and really evolved consumers spending 194 00:11:14,760 --> 00:11:17,959 Speaker 1: UH and UH. The job growth has been a little 195 00:11:18,000 --> 00:11:20,040 Speaker 1: flattish over the last month. It too strong for the 196 00:11:20,120 --> 00:11:22,360 Speaker 1: last six or eight months, but but but a little 197 00:11:22,400 --> 00:11:25,520 Speaker 1: bit flattish the last month or two. And if that 198 00:11:25,679 --> 00:11:29,400 Speaker 1: somehow takes a real downturn rather than steadily improving, that 199 00:11:29,440 --> 00:11:32,600 Speaker 1: would be the biggest factor. And so that's that's something 200 00:11:32,640 --> 00:11:34,800 Speaker 1: we're keeping our eyes on on it. But there's nothing 201 00:11:34,880 --> 00:11:39,320 Speaker 1: on the horizon. Uh that that that says job growth 202 00:11:39,360 --> 00:11:42,280 Speaker 1: is suddenly gonna start to drive dry up. You know, 203 00:11:42,600 --> 00:11:45,080 Speaker 1: hopefully it'll continue and there won't be the kind of 204 00:11:45,080 --> 00:11:48,280 Speaker 1: shocks that will uh that will trigger any kind of 205 00:11:48,320 --> 00:11:51,679 Speaker 1: major job losses, and that would be the biggest risk. 206 00:11:51,679 --> 00:11:53,440 Speaker 1: Craig Johnson, thank you so much for joining us. We 207 00:11:53,480 --> 00:11:57,520 Speaker 1: appreciate your thoughts and sharing retail sales forecast with us 208 00:11:57,760 --> 00:11:59,880 Speaker 1: on the back of a very strong retail sales number 209 00:11:59,920 --> 00:12:02,880 Speaker 1: for or January. Craig Johnson, He's the president of Customer 210 00:12:03,080 --> 00:12:06,400 Speaker 1: Growth of Partners Based. He's up in a New Canaan, Connecticut. 211 00:12:06,480 --> 00:12:09,480 Speaker 1: Again some very strong retail sales number suggesting that the 212 00:12:09,760 --> 00:12:16,080 Speaker 1: consumer is in pretty good shape despite the pandemic. Well, 213 00:12:16,200 --> 00:12:19,720 Speaker 1: Texas and many other parts of the Midwest are experiencing 214 00:12:19,840 --> 00:12:23,760 Speaker 1: unprecedented blackouts do in very large parts of just some 215 00:12:23,920 --> 00:12:27,640 Speaker 1: brutal winter weather that has been just pounding that region 216 00:12:27,640 --> 00:12:29,600 Speaker 1: of the country for days. Here, let's get the latest 217 00:12:29,840 --> 00:12:32,160 Speaker 1: on what is going on on what the future might hold. 218 00:12:32,400 --> 00:12:34,960 Speaker 1: We do that with Liam Denning. He's the energy, mining 219 00:12:35,040 --> 00:12:38,800 Speaker 1: and commodities calumnists for Bloomberg Opinion. Liam, thanks so much 220 00:12:38,800 --> 00:12:40,960 Speaker 1: for joining us here. I know We're just a few 221 00:12:41,000 --> 00:12:45,240 Speaker 1: days into this real crisis in Texas and other states. 222 00:12:45,920 --> 00:12:48,480 Speaker 1: What do we know as to what happened? It just 223 00:12:48,480 --> 00:12:50,720 Speaker 1: seems like it was a you know what some people 224 00:12:50,720 --> 00:12:55,480 Speaker 1: are calling a perfect storm. Yeah, I mean these events 225 00:12:55,480 --> 00:12:59,280 Speaker 1: have happened in the past in not to this magnitude, 226 00:12:59,320 --> 00:13:04,240 Speaker 1: but all that all the way back to which is 227 00:13:04,400 --> 00:13:09,960 Speaker 1: the first time, Um, we we saw blackouts in that 228 00:13:10,080 --> 00:13:14,720 Speaker 1: market or controlled blackouts to deal with a spike in demand. Um, 229 00:13:14,760 --> 00:13:17,960 Speaker 1: you know that the complex answer will take a few 230 00:13:17,960 --> 00:13:21,360 Speaker 1: months to come out, but the simple answer is that 231 00:13:21,400 --> 00:13:24,800 Speaker 1: there was a spike in demand due to cold weather 232 00:13:25,520 --> 00:13:28,920 Speaker 1: and also a lot of plants went offline again because 233 00:13:28,920 --> 00:13:32,200 Speaker 1: of cold weather. The system in the power system in 234 00:13:32,240 --> 00:13:37,800 Speaker 1: Texas is geared mainly to dealing with big increases in 235 00:13:37,840 --> 00:13:42,040 Speaker 1: demand during the summer for air conditioning. Um, it's not 236 00:13:42,200 --> 00:13:48,640 Speaker 1: really built or for dealing with a surgeon demand in 237 00:13:48,640 --> 00:13:51,959 Speaker 1: in in winter. And that's the problem here. So my 238 00:13:51,960 --> 00:13:56,280 Speaker 1: my first thought was, Um, the grid is garbage? Is 239 00:13:56,320 --> 00:13:59,600 Speaker 1: that right? Or do they have a really great grid 240 00:13:59,679 --> 00:14:04,400 Speaker 1: into access? Uh, it's not so much a question that 241 00:14:04,440 --> 00:14:10,120 Speaker 1: the grid is garbage. You know what we've seen is 242 00:14:10,120 --> 00:14:14,400 Speaker 1: is really a bunch of a bunch of plants go offline, 243 00:14:14,520 --> 00:14:18,080 Speaker 1: and that's due to several factors. So you know, we 244 00:14:18,120 --> 00:14:21,640 Speaker 1: saw over the weekend, UH and in the last couple 245 00:14:21,640 --> 00:14:26,800 Speaker 1: of days, you know, people blaming wind turbines because they 246 00:14:26,960 --> 00:14:30,240 Speaker 1: stopped turning because of a build up advice. That's true 247 00:14:30,280 --> 00:14:33,160 Speaker 1: to some degree, but actually the wind turbines are a 248 00:14:33,200 --> 00:14:35,920 Speaker 1: pretty small part of it. We all. We also saw 249 00:14:35,960 --> 00:14:40,280 Speaker 1: the much bigger part was with gas plants shutting down, 250 00:14:40,360 --> 00:14:43,360 Speaker 1: and that was due to a range of factors. Um 251 00:14:43,400 --> 00:14:47,400 Speaker 1: partly because gas was being diverted to heating people's homes, 252 00:14:47,560 --> 00:14:51,960 Speaker 1: so they're simply was have fuel available, but also plants 253 00:14:52,040 --> 00:14:54,680 Speaker 1: just not being built for this weather. So you see 254 00:14:55,560 --> 00:14:59,080 Speaker 1: valves freeze up, gauges freeze up, even a nuclear plants 255 00:14:59,080 --> 00:15:02,120 Speaker 1: shut down rain. Yeah, I saw a report of of 256 00:15:02,120 --> 00:15:06,360 Speaker 1: of one nuclear reactor shutting down temporarily. I wasn't entirely 257 00:15:06,360 --> 00:15:10,320 Speaker 1: sure what happened there, um, but but you know, these 258 00:15:10,320 --> 00:15:15,080 Speaker 1: thermal plants rely on water for cooling, so there may 259 00:15:15,080 --> 00:15:17,520 Speaker 1: be an issue there if if stuff is freezing up. 260 00:15:17,920 --> 00:15:20,240 Speaker 1: So it's not so much that the grid is bad, 261 00:15:20,400 --> 00:15:25,680 Speaker 1: it's it's that the the the infrastructure isn't built to 262 00:15:26,160 --> 00:15:29,120 Speaker 1: um to take on this kind of event. I mean, 263 00:15:29,280 --> 00:15:30,840 Speaker 1: if you want to think about it this way, it's 264 00:15:30,880 --> 00:15:35,120 Speaker 1: kind of an insurance problem, right. You have these events 265 00:15:35,200 --> 00:15:40,400 Speaker 1: that happen from time to time, and it costs money 266 00:15:40,440 --> 00:15:42,800 Speaker 1: to build things in a way that they can deal 267 00:15:42,840 --> 00:15:45,760 Speaker 1: with it. And the fact is that the Texan market, 268 00:15:46,480 --> 00:15:49,560 Speaker 1: you know, it's deregulated. The focus is much more on 269 00:15:49,720 --> 00:15:55,240 Speaker 1: keeping prices low. And so when a plant operator is 270 00:15:55,360 --> 00:15:58,840 Speaker 1: making that decision, well, do I invest X to deal 271 00:15:58,880 --> 00:16:00,880 Speaker 1: with an event that might have and once every ten 272 00:16:01,000 --> 00:16:03,480 Speaker 1: or twenty years, or do I keep my cost down 273 00:16:04,000 --> 00:16:05,480 Speaker 1: Most of the time they're gonna say, I'll keep my 274 00:16:05,520 --> 00:16:08,480 Speaker 1: cost down. So Liam, you know, some arguments are being 275 00:16:08,520 --> 00:16:11,720 Speaker 1: raised that climate change has to be addressed here as 276 00:16:11,760 --> 00:16:16,040 Speaker 1: it relates to Texas and others power grids. I eat 277 00:16:16,360 --> 00:16:21,160 Speaker 1: climate change producing I guess greater swings in whether it's 278 00:16:21,240 --> 00:16:25,200 Speaker 1: maybe hotter summers colder winters, and that has to be 279 00:16:25,240 --> 00:16:29,960 Speaker 1: incorporated into the design and maintenance of these systems. Is 280 00:16:30,000 --> 00:16:35,360 Speaker 1: that getting any traction in places like Texas? Um, I'm 281 00:16:35,360 --> 00:16:38,200 Speaker 1: sure it will gain traction among some. I'm not sure 282 00:16:38,280 --> 00:16:42,360 Speaker 1: it's gaining much traction in the Governor's office as yet. UM. 283 00:16:42,440 --> 00:16:46,760 Speaker 1: But it's it's un ignorable. I mean, look, Texas never 284 00:16:46,880 --> 00:16:50,520 Speaker 1: likes to um to be compared to California, but in 285 00:16:50,520 --> 00:16:56,520 Speaker 1: this respect they're united. You know, California faces growing problems 286 00:16:56,520 --> 00:16:59,360 Speaker 1: with wildfires due to climate change, and we've seen the 287 00:16:59,400 --> 00:17:02,560 Speaker 1: havocates reeked on the grid there. Texas is going to 288 00:17:02,720 --> 00:17:06,639 Speaker 1: face extreme temperature variations as well. And it's not just 289 00:17:07,160 --> 00:17:09,359 Speaker 1: the power system that isn't built for it. You know, 290 00:17:09,800 --> 00:17:12,960 Speaker 1: there's a lot of big houses in Texas that take 291 00:17:13,000 --> 00:17:16,280 Speaker 1: a lot of heating and cooling. They aren't well and insulated. 292 00:17:16,680 --> 00:17:20,360 Speaker 1: You know, there's an urban planning issue here as well, 293 00:17:20,400 --> 00:17:23,920 Speaker 1: and you know it's it's tempting to go on TV 294 00:17:24,119 --> 00:17:27,520 Speaker 1: and say, well, it's all the wind turbine spault, but um, 295 00:17:27,560 --> 00:17:30,080 Speaker 1: you know, ideology is a good way of getting people's 296 00:17:30,080 --> 00:17:32,359 Speaker 1: blood boiling, but it won't actually keep them warm, you 297 00:17:32,359 --> 00:17:34,240 Speaker 1: know what I mean. I'd say I'm a huge fan 298 00:17:34,320 --> 00:17:38,119 Speaker 1: of Texas. Visit Dallas as often as I can, and 299 00:17:38,160 --> 00:17:41,320 Speaker 1: I just love how big everything is, from the houses 300 00:17:41,400 --> 00:17:43,240 Speaker 1: to the truck's. The only thing not big is the 301 00:17:43,280 --> 00:17:46,280 Speaker 1: gas bill when I when I fill up my gigantic 302 00:17:46,400 --> 00:17:49,800 Speaker 1: F three fifty duly there. Well, I want to ask 303 00:17:49,800 --> 00:17:51,760 Speaker 1: you throw you a bit of a curve ballium since 304 00:17:51,800 --> 00:17:54,080 Speaker 1: we got you, and I'm looking through all your opinion columns. 305 00:17:54,320 --> 00:17:58,080 Speaker 1: I just just recently watched this Bill Gates documentary on Netflix. 306 00:17:58,080 --> 00:18:00,240 Speaker 1: I'm sure, well, I hope we've all seen it. It's 307 00:18:00,240 --> 00:18:03,479 Speaker 1: really good. What do you think about nuclear? I mean, 308 00:18:03,560 --> 00:18:06,959 Speaker 1: seems like everyone just passes it over right away, but 309 00:18:07,320 --> 00:18:09,639 Speaker 1: the world's smartest man's figured out a way to make 310 00:18:09,680 --> 00:18:14,960 Speaker 1: it safe. Well, here's the issue with nuclear. So there 311 00:18:15,000 --> 00:18:17,879 Speaker 1: is a safety issue, and there's a public perception issue, 312 00:18:18,280 --> 00:18:21,400 Speaker 1: But I think the bigger problem with nuclear is really 313 00:18:21,440 --> 00:18:24,200 Speaker 1: a capital markets issue. Right If you if you think 314 00:18:24,240 --> 00:18:26,320 Speaker 1: about it, if you're going to build a nuclear plant, 315 00:18:26,359 --> 00:18:31,159 Speaker 1: it's going to cost you, you know, five nine billion 316 00:18:31,200 --> 00:18:33,520 Speaker 1: dollars to build this thing. It's probably going to take 317 00:18:33,560 --> 00:18:36,840 Speaker 1: you the best part of a decade to build it. 318 00:18:36,920 --> 00:18:41,200 Speaker 1: For that kind of investment to pencil out, you've got 319 00:18:41,240 --> 00:18:44,520 Speaker 1: to be really certain about what's going to be happening 320 00:18:44,520 --> 00:18:50,919 Speaker 1: with power prices and demand over the next forty or 321 00:18:50,960 --> 00:18:55,879 Speaker 1: fifty years. And what we've seen in the past several 322 00:18:55,920 --> 00:19:01,040 Speaker 1: decades is in deregulated electricity markets, nuclear has become less 323 00:19:01,040 --> 00:19:03,320 Speaker 1: popular because it costs a lot of money and you 324 00:19:03,359 --> 00:19:08,080 Speaker 1: have to take a big upfront risk on you know, expose, 325 00:19:08,160 --> 00:19:11,880 Speaker 1: expose risk, exposure to two prices and demand. And that's 326 00:19:11,880 --> 00:19:14,600 Speaker 1: why a lot of these plants you know, don't get built, 327 00:19:14,640 --> 00:19:17,360 Speaker 1: particularly because they also tend to run over budget, take 328 00:19:17,480 --> 00:19:20,199 Speaker 1: longer to build. That's why we tend to see more 329 00:19:20,280 --> 00:19:24,879 Speaker 1: nuclear panths being built in in regulated markets, you know, 330 00:19:25,000 --> 00:19:29,000 Speaker 1: like like China and that sort of thing. So, you know, 331 00:19:29,280 --> 00:19:33,120 Speaker 1: nuclear is fine and it has real advantages in terms 332 00:19:33,119 --> 00:19:36,840 Speaker 1: of dealing with addressing issues of climate change. The one 333 00:19:36,880 --> 00:19:39,639 Speaker 1: issue it cannot deal with or has struggled to deal with, 334 00:19:40,040 --> 00:19:42,600 Speaker 1: is it costs a lot of money and it represents 335 00:19:42,600 --> 00:19:46,040 Speaker 1: a lot of risk. Liam Denning, thank you so much. 336 00:19:46,320 --> 00:19:49,639 Speaker 1: We appreciate your thoughts as always on this crazy, crazy 337 00:19:49,680 --> 00:19:53,520 Speaker 1: story in Texas and other parts of Midwest. Hopefully they 338 00:19:53,560 --> 00:19:57,040 Speaker 1: get some release soon. Liam Denning, Energy Mining and Commodities 339 00:19:57,080 --> 00:20:00,439 Speaker 1: Calms for Bloomberg Opinion. You can read liam work and 340 00:20:00,600 --> 00:20:03,399 Speaker 1: that of our Bloomberg Opinion columnists. They do great, great 341 00:20:03,400 --> 00:20:07,520 Speaker 1: work Bloomberg dot Com, Slash Opinion or O P. I 342 00:20:07,800 --> 00:20:10,080 Speaker 1: N Go on the Turn. Why I recommend you take 343 00:20:10,119 --> 00:20:12,399 Speaker 1: a look at that work again. Liam Denning on the 344 00:20:12,480 --> 00:20:14,920 Speaker 1: energy business, and what is going on down in Texas 345 00:20:14,920 --> 00:20:17,960 Speaker 1: with those rolling blackouts that news reports suggest will go 346 00:20:18,000 --> 00:20:23,480 Speaker 1: on at least for another couple of days. Well to me, 347 00:20:23,680 --> 00:20:25,840 Speaker 1: I guess one of the more interesting developments in the 348 00:20:25,920 --> 00:20:27,919 Speaker 1: US economy over the last decade or so is the 349 00:20:27,920 --> 00:20:31,399 Speaker 1: growth of the gig economy. Think Uber and Lift and 350 00:20:31,440 --> 00:20:33,639 Speaker 1: the in the real key to the economic model for 351 00:20:33,680 --> 00:20:36,560 Speaker 1: a gig company like Uber and Lift is that they're 352 00:20:36,720 --> 00:20:41,040 Speaker 1: drivers in this case are deemed contractors and not employees, 353 00:20:41,040 --> 00:20:43,320 Speaker 1: and that has a lot of implications. Let's dig down 354 00:20:43,640 --> 00:20:46,520 Speaker 1: deep on that issue. We can do that with josh Idolson, 355 00:20:46,840 --> 00:20:50,119 Speaker 1: labor reporter for Bloomberg News. So, Josh, you know in 356 00:20:50,240 --> 00:20:54,000 Speaker 1: California or I know you're based California voted. The voters 357 00:20:54,040 --> 00:20:57,720 Speaker 1: actually voted to classify Uber Lift drivers as contractors. What 358 00:20:57,800 --> 00:21:02,119 Speaker 1: are the implications of that. The implications of that vote 359 00:21:02,160 --> 00:21:06,760 Speaker 1: substantively and politically have been huge. There was a two 360 00:21:07,280 --> 00:21:10,960 Speaker 1: million dollar ballot measure campaign by gig companies in California 361 00:21:11,080 --> 00:21:15,840 Speaker 1: which secured passage of Prop. Twenty two. This measure making 362 00:21:16,000 --> 00:21:20,400 Speaker 1: workers under California law contractors and not employees if they're 363 00:21:20,400 --> 00:21:26,120 Speaker 1: doing app based driving, whether it's for delivery or passengers. 364 00:21:26,720 --> 00:21:30,280 Speaker 1: That means people are excluded from a whole range of 365 00:21:30,320 --> 00:21:35,720 Speaker 1: protections that California employment law provides employees, though they are 366 00:21:35,760 --> 00:21:43,240 Speaker 1: provided an alternate suite of more circumscribed benefits. Why why, 367 00:21:43,280 --> 00:21:46,320 Speaker 1: why why would I mean? I think of California as 368 00:21:46,359 --> 00:21:50,480 Speaker 1: a super progressive state, and um, whenever I, well, I 369 00:21:50,480 --> 00:21:53,480 Speaker 1: take uber's a lot, or I did before the lockdown. 370 00:21:53,760 --> 00:21:55,720 Speaker 1: Whenever I take an uber, I think this poor guy 371 00:21:55,800 --> 00:21:58,000 Speaker 1: is working like sixteen hours a day just to pay 372 00:21:58,000 --> 00:22:02,679 Speaker 1: off his lease. Um, why would such progressive people vote 373 00:22:02,720 --> 00:22:07,359 Speaker 1: to m make this guy's life so much harder? Well, 374 00:22:07,480 --> 00:22:09,960 Speaker 1: some of the polling suggests that some of the people 375 00:22:10,000 --> 00:22:14,199 Speaker 1: who voted for Prop two thought that it would ensure 376 00:22:14,280 --> 00:22:19,400 Speaker 1: benefits for workers that they might otherwise not have. Certainly, 377 00:22:19,440 --> 00:22:23,480 Speaker 1: part of the messaging from the companies, both in advertising 378 00:22:23,600 --> 00:22:27,880 Speaker 1: and in messages they put in their own apps, suggested 379 00:22:27,960 --> 00:22:31,280 Speaker 1: that workers would not have these jobs at all if 380 00:22:31,320 --> 00:22:36,720 Speaker 1: the ballot measures didn't pass. This is something that has 381 00:22:36,760 --> 00:22:39,320 Speaker 1: been part of the debate for a long time, is 382 00:22:39,480 --> 00:22:44,880 Speaker 1: these companies saying their business model and therefore their workers likelihoods, 383 00:22:44,920 --> 00:22:49,800 Speaker 1: depend on treating workers as contractors. Meanwhile, you have some 384 00:22:49,960 --> 00:22:53,560 Speaker 1: workers and advocates and lawmakers who say this is just 385 00:22:53,840 --> 00:22:57,280 Speaker 1: a new modern version of an argument that companies have 386 00:22:57,359 --> 00:23:01,159 Speaker 1: always made that they need an accept shin station and 387 00:23:01,280 --> 00:23:04,359 Speaker 1: have to pay people the same minimum amount for each 388 00:23:04,400 --> 00:23:07,120 Speaker 1: hour of their work that others do, and the fact 389 00:23:07,200 --> 00:23:10,920 Speaker 1: that it happens during an app doesn't change the potential 390 00:23:11,080 --> 00:23:16,320 Speaker 1: nature of that debate. So how does the proposed fifteen 391 00:23:16,600 --> 00:23:19,040 Speaker 1: minimum wage does it? That does that impact you know 392 00:23:19,160 --> 00:23:23,240 Speaker 1: California or just gig economy workers in general. Well, minimum 393 00:23:23,240 --> 00:23:27,080 Speaker 1: wage is a great example. The federal minimum wage, like 394 00:23:27,359 --> 00:23:30,640 Speaker 1: the federal labor rights in the National Labor Relations Act, 395 00:23:31,080 --> 00:23:37,160 Speaker 1: applies to employees, not to contractors. So under federal law, 396 00:23:37,320 --> 00:23:41,320 Speaker 1: like under state law, if you're considered a contractor, you 397 00:23:41,359 --> 00:23:45,560 Speaker 1: are excluded from many of the protections that the New 398 00:23:45,600 --> 00:23:50,080 Speaker 1: Deal in trines for workers. Now, what makes this particularly 399 00:23:50,119 --> 00:23:53,200 Speaker 1: complicated is someone can be an employee under one law 400 00:23:53,760 --> 00:23:57,600 Speaker 1: and not under another. So while the companies have one 401 00:23:57,720 --> 00:24:01,199 Speaker 1: Crop twenty two in California, that doesn't in and of 402 00:24:01,240 --> 00:24:06,080 Speaker 1: itself protect them from being found under federal law, to 403 00:24:06,200 --> 00:24:10,960 Speaker 1: the employers that are under on the hook for what 404 00:24:11,119 --> 00:24:15,960 Speaker 1: they haven't done under federal law, Josh, so many, uh 405 00:24:16,240 --> 00:24:19,439 Speaker 1: so many Americans work now in the gig economy, not 406 00:24:19,520 --> 00:24:22,280 Speaker 1: just in California but across the country, and I'm just 407 00:24:22,280 --> 00:24:24,760 Speaker 1: wondering if you have any insight as to how they 408 00:24:24,800 --> 00:24:29,800 Speaker 1: are being supported by the stimulus measures that we you know, 409 00:24:29,800 --> 00:24:32,160 Speaker 1: that we got under President Trump, that we're expecting under 410 00:24:32,160 --> 00:24:36,760 Speaker 1: President Biden. Are there are there any um exceptions made 411 00:24:36,840 --> 00:24:39,840 Speaker 1: to try and help these gig workers who are hard 412 00:24:39,880 --> 00:24:44,400 Speaker 1: to kind of value. Well, one of the things that 413 00:24:44,640 --> 00:24:49,600 Speaker 1: was passed last year was the p u A, a 414 00:24:49,760 --> 00:24:56,679 Speaker 1: separate unemployment system for people that were not considered employees, 415 00:24:57,040 --> 00:25:00,840 Speaker 1: and there was disagreement amongst some advocates about whether gig 416 00:25:00,880 --> 00:25:06,760 Speaker 1: workers should be except or accepting that program or pushing 417 00:25:06,800 --> 00:25:11,640 Speaker 1: to get full unemployment benefits as employees, as some agencies, 418 00:25:11,640 --> 00:25:14,720 Speaker 1: such as in New York have concluded some of these 419 00:25:14,760 --> 00:25:18,040 Speaker 1: gig workers are entitled to because they found they actually 420 00:25:18,080 --> 00:25:23,840 Speaker 1: are employees and not contracted. Josh talked to us about contractors, 421 00:25:23,840 --> 00:25:26,040 Speaker 1: because there's a lot of companies use contract employees to 422 00:25:26,080 --> 00:25:29,520 Speaker 1: kind of you know, on different demand, seasonality thing things 423 00:25:29,520 --> 00:25:32,159 Speaker 1: like that. What's the impact of gig workers on those folks. 424 00:25:34,080 --> 00:25:38,840 Speaker 1: So what gets talked about as the gig economy now 425 00:25:38,960 --> 00:25:41,000 Speaker 1: in some ways is a face of something that has 426 00:25:41,040 --> 00:25:46,200 Speaker 1: existed for many, many decades in the United States, as 427 00:25:46,240 --> 00:25:50,960 Speaker 1: I talked about in Business Week, even in the early 428 00:25:51,080 --> 00:25:55,120 Speaker 1: years of the National a Relations Act in the nineteen 429 00:25:55,240 --> 00:26:00,080 Speaker 1: fourt you had William Randolph, First Publishing Company going to 430 00:26:00,200 --> 00:26:05,040 Speaker 1: the Supreme Court arguing that it's news these were not employees. 431 00:26:05,560 --> 00:26:10,840 Speaker 1: And while they lost at court, the company then ultimately 432 00:26:10,920 --> 00:26:16,160 Speaker 1: was indicated in that Congress passed the law specifically excluding 433 00:26:16,200 --> 00:26:20,640 Speaker 1: independent contractors. So you've had these controversies about so called 434 00:26:20,720 --> 00:26:25,440 Speaker 1: misclassification of workers of contractors in industries from construction to 435 00:26:25,640 --> 00:26:29,960 Speaker 1: education to mixed martial arts the Big economy, and fact 436 00:26:30,840 --> 00:26:33,600 Speaker 1: is a modern face of that modern face of that. Hey, Josh, 437 00:26:33,640 --> 00:26:37,240 Speaker 1: thanks so much for joining us. Josh Idols, Bloomberg Labor Reporter, 438 00:26:37,880 --> 00:26:40,639 Speaker 1: joining se Careet. Josh's stories featured in the new issue 439 00:26:41,040 --> 00:26:45,320 Speaker 1: of Bloomberg Business Week magazine, on newsstands and at Bloomberg 440 00:26:45,359 --> 00:26:47,840 Speaker 1: dot com. But clearly that is a key key issue 441 00:26:48,320 --> 00:26:54,560 Speaker 1: for the gig economy employees for contractors. This thanks for 442 00:26:54,600 --> 00:26:58,120 Speaker 1: listening to the Bloomberg Markets podcast. You can subscribe and 443 00:26:58,160 --> 00:27:01,720 Speaker 1: listen to interviews of Apple podcast, Asks or whatever podcast 444 00:27:01,720 --> 00:27:05,280 Speaker 1: platform you prefer I'm Matt Miller, I'm on Twitter at 445 00:27:05,320 --> 00:27:08,960 Speaker 1: Matt Miller three. And I'm fall Sweeney. I'm on Twitter 446 00:27:09,000 --> 00:27:11,840 Speaker 1: at pt Sweeney. Before the podcast, you can always catch 447 00:27:11,920 --> 00:27:13,440 Speaker 1: us worldwide at Bloomberg Radio