1 00:00:02,440 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:11,960 --> 00:00:16,360 Speaker 2: This is the Bloomberg Surveillance Podcast. Catch us live weekdays 3 00:00:16,400 --> 00:00:19,759 Speaker 2: at seven am Eastern on Apple car Player, Android Auto 4 00:00:19,760 --> 00:00:23,120 Speaker 2: with the Bloomberg Business App. Listen on demand wherever you 5 00:00:23,160 --> 00:00:26,200 Speaker 2: get your podcasts, or watch us live on YouTube. 6 00:00:26,360 --> 00:00:27,560 Speaker 3: Caro, we are so fortunate. 7 00:00:27,640 --> 00:00:29,560 Speaker 4: I feel like here at Bloomer did we get to 8 00:00:29,600 --> 00:00:34,040 Speaker 4: speak to so many really totally smart and experienced investors 9 00:00:34,360 --> 00:00:37,360 Speaker 4: that have managed, you know, billions of dollars of assets 10 00:00:37,360 --> 00:00:41,040 Speaker 4: on behalf of their clients and have seen everything. They've 11 00:00:41,080 --> 00:00:44,559 Speaker 4: seen different cycles, different sector moves. Our next guest is 12 00:00:44,840 --> 00:00:47,120 Speaker 4: right at the top of that list, Karen Murphy, CIO 13 00:00:47,159 --> 00:00:49,960 Speaker 4: of Kestra Investment Management. I don't know what Kester Investment 14 00:00:49,960 --> 00:00:53,360 Speaker 4: Management is, but she's worked all over Wall Street her 15 00:00:53,479 --> 00:00:56,720 Speaker 4: entire career. It's just amazing we get to speak to 16 00:00:56,760 --> 00:00:59,480 Speaker 4: some of these people. So, Cara, thanks again for joining 17 00:00:59,560 --> 00:01:01,760 Speaker 4: us here. I mean, Karen and I have been talking 18 00:01:01,760 --> 00:01:04,559 Speaker 4: about today. You know, we got that retail sales number today. 19 00:01:05,160 --> 00:01:07,280 Speaker 4: I'm not sure the FED needs to do anything and 20 00:01:07,520 --> 00:01:09,680 Speaker 4: I think I'm okay if they don't do anything in November. 21 00:01:10,080 --> 00:01:13,720 Speaker 4: How are you viewing this economy and this market right here. 22 00:01:15,240 --> 00:01:17,880 Speaker 5: I think you're right to be really marveling at these 23 00:01:17,920 --> 00:01:19,480 Speaker 5: strong retail sales numbers. 24 00:01:19,800 --> 00:01:21,440 Speaker 6: You know, earlier this year, when we were. 25 00:01:21,319 --> 00:01:25,399 Speaker 5: Looking at not nominal retail sales, but real retail sales, 26 00:01:25,640 --> 00:01:27,720 Speaker 5: there was a concern because those had turned negative for 27 00:01:27,760 --> 00:01:29,880 Speaker 5: a little while. But over the last few months we 28 00:01:29,920 --> 00:01:32,920 Speaker 5: have seen a very definitive turn in both nominal and 29 00:01:33,000 --> 00:01:36,600 Speaker 5: real retail sales to going positive. And it's a bit 30 00:01:36,640 --> 00:01:38,640 Speaker 5: of a head scratcher because when we look at the 31 00:01:38,640 --> 00:01:42,680 Speaker 5: consumer confidence numbers, they continue to be in recessionary territory. 32 00:01:42,959 --> 00:01:45,000 Speaker 5: But when we look at what consumers are doing with 33 00:01:45,080 --> 00:01:48,280 Speaker 5: their actual dollars, they're out there spending like the economy 34 00:01:48,360 --> 00:01:51,080 Speaker 5: is doing really, really well. So I think the FED. 35 00:01:50,880 --> 00:01:52,640 Speaker 6: Should feel pretty comfortable about that. 36 00:01:52,800 --> 00:01:54,800 Speaker 5: And I don't think that the house is on fire 37 00:01:54,840 --> 00:01:56,960 Speaker 5: and the FED needs to come in with a bunch 38 00:01:57,000 --> 00:01:59,880 Speaker 5: of rate cuts. I think they'll continue cutting rates, but 39 00:02:00,080 --> 00:02:01,040 Speaker 5: they can take their time. 40 00:02:01,440 --> 00:02:05,600 Speaker 7: Hey, Caren, you guys work with independent financial advisors. You're 41 00:02:05,600 --> 00:02:09,680 Speaker 7: giving them some advice, you're giving them guidance, And I'm 42 00:02:09,720 --> 00:02:12,480 Speaker 7: just curious, what is it that they are most concerned 43 00:02:12,520 --> 00:02:14,400 Speaker 7: about right now? In this environment. 44 00:02:15,840 --> 00:02:17,320 Speaker 6: Everybody's talking about the election. 45 00:02:17,960 --> 00:02:19,720 Speaker 5: So for the next couple of weeks, it's going to 46 00:02:19,720 --> 00:02:21,880 Speaker 5: be really hard to focus on anything else, and so 47 00:02:22,280 --> 00:02:24,080 Speaker 5: a lot of what we're doing is trying to hold 48 00:02:24,080 --> 00:02:26,720 Speaker 5: hands and tell people that we don't think that whoever 49 00:02:26,800 --> 00:02:28,200 Speaker 5: ends up in the White House is going to have 50 00:02:28,200 --> 00:02:31,040 Speaker 5: a big impact on the medium trajectory of the market. 51 00:02:31,360 --> 00:02:32,840 Speaker 5: So you need to kind of sit through this in 52 00:02:32,880 --> 00:02:35,800 Speaker 5: near term volatility. But then coming out of that just 53 00:02:35,840 --> 00:02:39,120 Speaker 5: a couple of weeks from now, hopefully crossmakers. I think 54 00:02:39,200 --> 00:02:42,799 Speaker 5: the focus will then return to earnings, which is really 55 00:02:42,840 --> 00:02:44,959 Speaker 5: going to be the driver of the market. And there too, 56 00:02:45,040 --> 00:02:46,600 Speaker 5: I think we're seeing pretty good trends. 57 00:02:47,320 --> 00:02:48,360 Speaker 3: Yeah, I kind of wanted to go there. 58 00:02:48,400 --> 00:02:50,560 Speaker 4: I mean, we've just had a some of the big 59 00:02:50,600 --> 00:02:53,079 Speaker 4: banks report. I mean, we've got most of the rest 60 00:02:53,120 --> 00:02:54,359 Speaker 4: of the S and P to come over the next 61 00:02:54,440 --> 00:02:56,560 Speaker 4: couple of weeks. But the bank earnings, Karen and I 62 00:02:56,560 --> 00:02:58,760 Speaker 4: were talking at the opening here this morning, they look 63 00:02:58,760 --> 00:03:01,160 Speaker 4: pretty solid across the board. 64 00:03:01,240 --> 00:03:02,000 Speaker 6: Quite solid. 65 00:03:02,080 --> 00:03:04,640 Speaker 5: And again, if we have the FED continuing to cut 66 00:03:04,680 --> 00:03:07,919 Speaker 5: at a modest rate, a more normal yield curve, activity 67 00:03:08,000 --> 00:03:10,639 Speaker 5: is picking up in a lot of their core areas. 68 00:03:11,240 --> 00:03:13,920 Speaker 5: Credit's okay, so they have a lot of things to 69 00:03:13,960 --> 00:03:16,120 Speaker 5: be really positive about. And then when you look in 70 00:03:16,160 --> 00:03:18,720 Speaker 5: particular at some of those small cat banks, they're the 71 00:03:18,760 --> 00:03:21,680 Speaker 5: ones who are particularly interest rate sensitive, and we'll start 72 00:03:21,680 --> 00:03:24,080 Speaker 5: to benefit from this new interest rate environment. 73 00:03:24,360 --> 00:03:26,120 Speaker 7: Hey, Cara, one of the things too, Paul and I 74 00:03:26,160 --> 00:03:28,079 Speaker 7: were as we were gearing up for you to join us. 75 00:03:28,400 --> 00:03:31,639 Speaker 7: Your background is just way cool. You've worked in a 76 00:03:31,680 --> 00:03:34,079 Speaker 7: lot of well known firms, whether it's Gold, mid Sax, 77 00:03:35,200 --> 00:03:39,280 Speaker 7: whether it was AIG funds. But what's interesting is you 78 00:03:39,320 --> 00:03:42,200 Speaker 7: go kind of way back before you tapped into the 79 00:03:42,200 --> 00:03:45,200 Speaker 7: investment industry. You were an analysts covering international political and 80 00:03:45,240 --> 00:03:48,640 Speaker 7: economic risk and you focused on Eastern Europe and Russia. 81 00:03:48,680 --> 00:03:50,160 Speaker 7: One of the things that Paul brought up, which I 82 00:03:50,160 --> 00:03:52,720 Speaker 7: thought was really brilliant, is that this idea that we 83 00:03:52,800 --> 00:03:56,400 Speaker 7: have another headline that Israel saying hamas chief may have 84 00:03:56,480 --> 00:03:58,960 Speaker 7: been killed in Gaza attacks, and yet the markets seem 85 00:03:59,000 --> 00:04:02,080 Speaker 7: to take that in stride, or even if we see 86 00:04:02,080 --> 00:04:05,560 Speaker 7: a blip, seems to recover quickly. What is going on 87 00:04:05,640 --> 00:04:11,000 Speaker 7: in investment markets where geopolitical risks seems to be they 88 00:04:11,040 --> 00:04:13,280 Speaker 7: kind of just take it in and kind of don't 89 00:04:13,320 --> 00:04:15,280 Speaker 7: seem to overreact. Investors don't. 90 00:04:16,480 --> 00:04:19,240 Speaker 5: It is quite remarkable, and you have to go deep 91 00:04:19,279 --> 00:04:21,560 Speaker 5: into my resume to find that, but we did. 92 00:04:21,839 --> 00:04:22,200 Speaker 3: We did. 93 00:04:24,120 --> 00:04:27,680 Speaker 5: I find international politics incredibly interesting, and these types of 94 00:04:27,720 --> 00:04:30,800 Speaker 5: things that you're talking about are really really important, but 95 00:04:30,880 --> 00:04:33,680 Speaker 5: I don't talk about them all that often simply because 96 00:04:34,200 --> 00:04:37,360 Speaker 5: US markets over time have shown us again and again 97 00:04:37,400 --> 00:04:40,440 Speaker 5: that they can remain very well insulated from geopolitical risk. 98 00:04:40,800 --> 00:04:43,320 Speaker 5: And that's a great benefit from being in the United States, 99 00:04:43,320 --> 00:04:43,960 Speaker 5: which has you. 100 00:04:43,880 --> 00:04:45,480 Speaker 6: Know, an ocean on either side. 101 00:04:46,080 --> 00:04:48,240 Speaker 5: And if you look back in fact to when Russia 102 00:04:48,279 --> 00:04:50,280 Speaker 5: in Vada, Ukraine at the time, I mean, there was 103 00:04:50,320 --> 00:04:52,680 Speaker 5: a lot of concern war in Europe for the first 104 00:04:52,680 --> 00:04:57,159 Speaker 5: time since World War Two, concerned about grains and other 105 00:04:57,200 --> 00:05:00,599 Speaker 5: commodity prices oil, and very quickly, you know, within a 106 00:05:00,640 --> 00:05:03,039 Speaker 5: couple of weeks or months, that risk started to feed 107 00:05:03,120 --> 00:05:03,800 Speaker 5: from markets. 108 00:05:04,000 --> 00:05:05,640 Speaker 6: And we've seen the same in the Middle East. 109 00:05:06,560 --> 00:05:10,040 Speaker 5: And usually the big way that these geopolitical risks sort 110 00:05:10,040 --> 00:05:13,080 Speaker 5: of transition from wherever they start to US markets is 111 00:05:13,120 --> 00:05:16,280 Speaker 5: through oil. And interestingly, over the last twelve months, we've 112 00:05:16,279 --> 00:05:20,000 Speaker 5: seen oil come down, I think driven by some softer demand, 113 00:05:20,000 --> 00:05:24,760 Speaker 5: particularly in China, but that transmission mechanism has not really 114 00:05:24,800 --> 00:05:27,560 Speaker 5: reared its ugly head, and so US markets are able 115 00:05:27,600 --> 00:05:28,680 Speaker 5: to really shrug it off. 116 00:05:29,920 --> 00:05:32,320 Speaker 4: Caro, how about the fixed income space. I can sit 117 00:05:32,360 --> 00:05:34,520 Speaker 4: into your treasury and get four percent here? 118 00:05:34,680 --> 00:05:36,800 Speaker 3: Is that okay? Or should I be taking some credit risk? 119 00:05:36,800 --> 00:05:38,680 Speaker 3: Do you think so? 120 00:05:38,839 --> 00:05:42,359 Speaker 5: We actually think corporate, so high quality credit is pretty 121 00:05:42,360 --> 00:05:43,160 Speaker 5: attractive here. 122 00:05:43,240 --> 00:05:45,440 Speaker 6: So you have nice nominal yields. 123 00:05:45,560 --> 00:05:48,839 Speaker 5: You know, spreads are narrow, but not terribly narrow, and 124 00:05:48,880 --> 00:05:51,080 Speaker 5: we'd actually rather be in a corporate space and be 125 00:05:51,160 --> 00:05:55,080 Speaker 5: leaning into credit risk as opposed to duration risk right here. Now, 126 00:05:55,200 --> 00:05:57,520 Speaker 5: once you get out the credit curve into high yield, 127 00:05:57,600 --> 00:05:59,640 Speaker 5: that's where I start to get a little bit more worried, 128 00:06:00,080 --> 00:06:03,640 Speaker 5: simply because if the FED rate cutting cycle takes a 129 00:06:03,680 --> 00:06:06,600 Speaker 5: little bit longer in than what the market's currently expecting, 130 00:06:07,000 --> 00:06:08,599 Speaker 5: some of those companies are not going to get the 131 00:06:08,640 --> 00:06:12,320 Speaker 5: reliefs that they're really hoping for. And credit spreads are 132 00:06:12,400 --> 00:06:15,120 Speaker 5: about at historic lows, so you're not getting paid to 133 00:06:15,160 --> 00:06:16,719 Speaker 5: take a lot of that risk. But if you're in 134 00:06:16,720 --> 00:06:20,480 Speaker 5: that sort of core credit, high quality borrowers, we think 135 00:06:20,480 --> 00:06:21,719 Speaker 5: that's a really nice place to be. 136 00:06:24,000 --> 00:06:25,880 Speaker 4: All right, how about one of the things I want 137 00:06:25,920 --> 00:06:29,800 Speaker 4: to ask, given your great experiences alternatives. How do you 138 00:06:29,839 --> 00:06:32,919 Speaker 4: guys allocate to alternatives? I was at a recently some 139 00:06:33,240 --> 00:06:36,720 Speaker 4: talking to some retail investment advisors and they put a 140 00:06:36,760 --> 00:06:38,600 Speaker 4: lot of allocation to alternatives. 141 00:06:38,600 --> 00:06:39,440 Speaker 8: How do you think about that? 142 00:06:40,800 --> 00:06:43,320 Speaker 5: So, I mean, alternatives can be a great addition to 143 00:06:43,520 --> 00:06:46,760 Speaker 5: a diversified portfolio. I don't think you have to have 144 00:06:46,839 --> 00:06:49,280 Speaker 5: alternatives to build wealth, and so we work with a 145 00:06:49,320 --> 00:06:52,520 Speaker 5: lot of very high networks clients who do really really 146 00:06:52,520 --> 00:06:56,080 Speaker 5: well over time with the simple stock bond Strategyously, I feel. 147 00:06:55,880 --> 00:06:58,360 Speaker 7: Like every time I talk to a wealth manager, they 148 00:06:58,440 --> 00:07:01,479 Speaker 7: are like, my clients want they want different ways. They 149 00:07:01,520 --> 00:07:03,480 Speaker 7: want to they want to tap the private credit markets. 150 00:07:03,800 --> 00:07:07,680 Speaker 7: They want to be they want that alpha, Like that's 151 00:07:07,680 --> 00:07:10,720 Speaker 7: what they're asking about. So continue because I'm just kind 152 00:07:10,720 --> 00:07:12,560 Speaker 7: of blown away. Yeah, it seems like everybody, but. 153 00:07:12,520 --> 00:07:14,080 Speaker 6: So I would say some are. 154 00:07:14,720 --> 00:07:16,920 Speaker 5: But once you start to get into the complexity and 155 00:07:16,960 --> 00:07:19,880 Speaker 5: the sort of idiosyncrasies of some of those strategies, that's 156 00:07:19,920 --> 00:07:22,040 Speaker 5: where it starts to become a little bit more tricky. 157 00:07:22,320 --> 00:07:25,120 Speaker 5: And look, as we think about both credit and equity, 158 00:07:25,880 --> 00:07:28,920 Speaker 5: because of you know, regulatory environment, a lot of different reasons, 159 00:07:28,960 --> 00:07:31,280 Speaker 5: a fair amount of investment opportunities have been moved to 160 00:07:31,320 --> 00:07:35,240 Speaker 5: those private markets. That said, there's a huge amount of complexity. 161 00:07:35,280 --> 00:07:38,480 Speaker 5: There's you know, liquidity tie ups, there's paperwork that you 162 00:07:38,520 --> 00:07:41,720 Speaker 5: have to do, and again a lot of idio idiosyncrasies 163 00:07:41,720 --> 00:07:43,720 Speaker 5: where you have to work much harder to get a 164 00:07:43,760 --> 00:07:47,680 Speaker 5: diversified alt portfolio. So we generally recommend keep it a 165 00:07:47,720 --> 00:07:50,679 Speaker 5: small portion of your portfolio, keep it diversified by assea 166 00:07:50,760 --> 00:07:53,360 Speaker 5: class and by manager, and that will protect you as 167 00:07:53,400 --> 00:07:55,240 Speaker 5: you might get into rockier environments. 168 00:07:56,640 --> 00:07:58,240 Speaker 4: All Right, Kerr, thank you so much for joining us. 169 00:07:58,240 --> 00:08:00,760 Speaker 4: Always appreciate getting a few minutes of your time. Karen Murphy, 170 00:08:00,800 --> 00:08:05,120 Speaker 4: she's the CIO at Kestre Investment Management, getting her thoughts 171 00:08:05,160 --> 00:08:07,080 Speaker 4: on these markets. 172 00:08:11,400 --> 00:08:15,280 Speaker 2: You're listening to the Bloomberg Surveillance Podcast. Catch us live 173 00:08:15,360 --> 00:08:18,680 Speaker 2: weekday afternoons from seven to ten am Easter Listen on 174 00:08:18,720 --> 00:08:21,280 Speaker 2: Apple car Play and and Brout Auto with a Bloomberg 175 00:08:21,320 --> 00:08:23,679 Speaker 2: Business app, or watch us live on YouTube. 176 00:08:23,760 --> 00:08:25,920 Speaker 4: Our next guest, he clearly has a view on us, 177 00:08:25,960 --> 00:08:30,080 Speaker 4: Matt Siegel. He said of digital assets research at Vanek, Matt, 178 00:08:30,120 --> 00:08:33,880 Speaker 4: what are the smart people in crypto talking about today? 179 00:08:33,920 --> 00:08:35,880 Speaker 4: What are the next things that we need to be 180 00:08:35,920 --> 00:08:37,760 Speaker 4: thinking about going forward with crypto. 181 00:08:38,720 --> 00:08:41,440 Speaker 9: Yeah, we're we have strong conviction that we're on the 182 00:08:41,520 --> 00:08:46,160 Speaker 9: cusp of a high volatility rally in bitcoin. That would 183 00:08:46,160 --> 00:08:49,559 Speaker 9: be a similar pattern to what happened around the twenty 184 00:08:49,600 --> 00:08:52,960 Speaker 9: twenty election. So when you look at the volatility profile 185 00:08:53,080 --> 00:08:57,480 Speaker 9: of FX fixed income equities, they're all at the high 186 00:08:57,559 --> 00:09:01,400 Speaker 9: end of their range over the last year. Bitcoin stands 187 00:09:01,400 --> 00:09:04,720 Speaker 9: out for trading at the low end of its volatility range. 188 00:09:05,360 --> 00:09:07,840 Speaker 9: Now we're starting to see that change, and some of 189 00:09:07,880 --> 00:09:10,559 Speaker 9: that is the market starting to price in the higher 190 00:09:10,600 --> 00:09:13,280 Speaker 9: odds that Trump has in the election, and some of 191 00:09:13,320 --> 00:09:16,000 Speaker 9: it is just seller's exhaustion. We had a lot of 192 00:09:16,080 --> 00:09:19,280 Speaker 9: large sellers over the summer. They've kind of wrapped up, 193 00:09:19,960 --> 00:09:22,880 Speaker 9: so the backdrop is looking pretty strong. There's also not 194 00:09:23,080 --> 00:09:26,560 Speaker 9: much leverage in the space right now, so that is 195 00:09:26,559 --> 00:09:29,280 Speaker 9: something that could emerge with a bit more optimism. 196 00:09:29,360 --> 00:09:31,280 Speaker 7: Would you rather see a Trump White House versus a 197 00:09:31,320 --> 00:09:34,520 Speaker 7: Harris White House based on maybe some of his comments 198 00:09:34,720 --> 00:09:35,800 Speaker 7: on the crypto space? 199 00:09:36,360 --> 00:09:39,600 Speaker 9: One hundred percent. The current administration has spent four years 200 00:09:39,640 --> 00:09:44,400 Speaker 9: attacking this industry in every agency house house. 201 00:09:44,400 --> 00:09:46,880 Speaker 3: So is it mister Gensler at the SEC or is 202 00:09:46,920 --> 00:09:47,440 Speaker 3: it more than that? 203 00:09:47,679 --> 00:09:50,880 Speaker 9: Well Biden put out an executive order in the first 204 00:09:50,880 --> 00:09:55,480 Speaker 9: few months of his administration instructing all federal agencies to 205 00:09:55,559 --> 00:09:59,160 Speaker 9: take a maximum enforcement approach towards this industry. Do you 206 00:09:59,200 --> 00:10:03,880 Speaker 9: think because they want maximum control over the financial system, 207 00:10:04,520 --> 00:10:07,400 Speaker 9: I want to be able to track and see every 208 00:10:07,400 --> 00:10:11,200 Speaker 9: transaction and don't have a great respect for privacy, would 209 00:10:11,200 --> 00:10:12,520 Speaker 9: be my take on it. 210 00:10:12,559 --> 00:10:15,480 Speaker 7: I would counter, why not shouldn't they because bitcoin was 211 00:10:15,520 --> 00:10:18,160 Speaker 7: initially kind of set up to be the anti establishment, 212 00:10:18,240 --> 00:10:21,240 Speaker 7: right in terms of the financial industry, and yet you 213 00:10:21,240 --> 00:10:24,440 Speaker 7: guys all want to now play kind of with the 214 00:10:24,480 --> 00:10:27,760 Speaker 7: traditional environment and investors, now you know what I mean. 215 00:10:27,800 --> 00:10:30,719 Speaker 7: So shouldn't there be some oversight to protect investors? 216 00:10:31,240 --> 00:10:34,360 Speaker 9: Well, that's what the etf rapper did. And we've seen 217 00:10:34,400 --> 00:10:39,040 Speaker 9: twenty billion dollars of flows into these spot bitcoin ETFs 218 00:10:39,080 --> 00:10:40,559 Speaker 9: since their launch in January. 219 00:10:40,679 --> 00:10:43,800 Speaker 7: And what we've noticed necessarily mean like I mean, investors 220 00:10:43,840 --> 00:10:44,480 Speaker 7: want to play. 221 00:10:44,280 --> 00:10:47,640 Speaker 9: With it, right, Yeah, So what we've noticed is that 222 00:10:48,520 --> 00:10:52,840 Speaker 9: the weekly inflows into these bitcoin ETFs have been predictive 223 00:10:53,040 --> 00:10:57,520 Speaker 9: of the next week's returns. So, yes, institutions do want 224 00:10:57,559 --> 00:11:01,880 Speaker 9: access to this asset. It's a anti doll It's a 225 00:11:01,920 --> 00:11:06,920 Speaker 9: fixed scarce asset with a predictable monetary policy, which is, 226 00:11:07,080 --> 00:11:09,800 Speaker 9: you know, not what the FED has been following. And 227 00:11:09,840 --> 00:11:11,960 Speaker 9: we can see that hedge fund holdings of the bitcoin 228 00:11:12,000 --> 00:11:15,480 Speaker 9: ETFs were up forty percent in Q two. The number 229 00:11:15,480 --> 00:11:19,240 Speaker 9: of public companies that now own bitcoin on their balance sheet, 230 00:11:19,480 --> 00:11:22,160 Speaker 9: that number is also up forty percent year over year. 231 00:11:22,200 --> 00:11:24,720 Speaker 9: It's approaching fifty different companies. 232 00:11:24,760 --> 00:11:27,760 Speaker 3: So why would companies do is that? Why are they. 233 00:11:27,840 --> 00:11:30,360 Speaker 9: They want to make money, it's the best performing asset class. 234 00:11:30,679 --> 00:11:32,440 Speaker 7: Want to do it as a tiny slice to be 235 00:11:32,520 --> 00:11:34,839 Speaker 7: fair even in a portfolio. If somebody comes on they 236 00:11:34,880 --> 00:11:36,520 Speaker 7: say it's a tiny slice. 237 00:11:37,040 --> 00:11:39,040 Speaker 9: You mean the listed companies who are adding bitcoin for 238 00:11:39,120 --> 00:11:41,760 Speaker 9: micro strategy. It's not a tiny slice for block It's 239 00:11:41,800 --> 00:11:44,520 Speaker 9: not a tiny slice for Reddit, It's not a tiny slice. 240 00:11:44,520 --> 00:11:48,400 Speaker 9: These are meaningful allocations. If you look at crypto's correlations 241 00:11:48,440 --> 00:11:51,839 Speaker 9: over the last ten years, the strongest correlation has been 242 00:11:52,200 --> 00:11:55,320 Speaker 9: positive with money supply. So what is your last guest set? 243 00:11:55,559 --> 00:11:57,800 Speaker 9: The FED is cutting rates, Let's get out of short 244 00:11:57,880 --> 00:12:01,599 Speaker 9: term fixed instruments, Let's get into risky assets. This is 245 00:12:01,600 --> 00:12:06,319 Speaker 9: where bitcoin has historically shined is when money supplies accelerating 246 00:12:06,360 --> 00:12:09,000 Speaker 9: and the dollar is weak. So what's the election likely 247 00:12:09,120 --> 00:12:12,760 Speaker 9: to solidify former years of irresponsible money printing. I just 248 00:12:12,760 --> 00:12:15,600 Speaker 9: saw that Moody's has put a number of countries on 249 00:12:15,679 --> 00:12:18,480 Speaker 9: warning for sovereign downgrades. They're on the lookout for when 250 00:12:18,960 --> 00:12:25,120 Speaker 9: a country's tax revenue deficits and so on. Yeah, deficits, right, 251 00:12:25,160 --> 00:12:27,839 Speaker 9: So they're looking at at scenarios where interest payments are 252 00:12:27,960 --> 00:12:31,160 Speaker 9: more than twenty percent of federal revenues. In the US, 253 00:12:31,200 --> 00:12:34,040 Speaker 9: it's twenty four percent right now. So we think that 254 00:12:34,080 --> 00:12:38,600 Speaker 9: the market will refocus on this fiscal unsustainability after the election, 255 00:12:39,000 --> 00:12:41,960 Speaker 9: and that will turbocharge bitcoin and cryptos performance. 256 00:12:42,080 --> 00:12:46,320 Speaker 4: At vandeck, the flows coming into the crypto who are 257 00:12:46,360 --> 00:12:49,080 Speaker 4: those people who like is it retail institutional? 258 00:12:50,440 --> 00:12:52,160 Speaker 3: What are the fun flows that you guys see? 259 00:12:52,400 --> 00:12:55,360 Speaker 9: Yeah, so not all of the ETF holders need to 260 00:12:55,679 --> 00:12:59,640 Speaker 9: report their positions. So what we have observed is that 261 00:13:00,200 --> 00:13:03,240 Speaker 9: hedge funds have been the largest purchasers of the bitcoin ETFs. 262 00:13:04,280 --> 00:13:09,000 Speaker 9: Rias have been smaller, but they are growing. And even 263 00:13:09,080 --> 00:13:14,079 Speaker 9: some public pension plants like Wisconsin, Michigan, Jersey City. 264 00:13:14,360 --> 00:13:17,559 Speaker 8: Nice, there you go, you own it, Carol. 265 00:13:17,559 --> 00:13:20,200 Speaker 9: And I think one of the most striking things about bitcoin. 266 00:13:20,120 --> 00:13:22,880 Speaker 7: Gearing into Jersey City politics or their budget. 267 00:13:23,440 --> 00:13:25,720 Speaker 9: One of the most striking things this year has been 268 00:13:25,880 --> 00:13:30,720 Speaker 9: the transformation in the mainstream media around bitcoin's energy intensity. 269 00:13:31,000 --> 00:13:34,840 Speaker 9: We've looked at some research analyzing the natural language models 270 00:13:34,920 --> 00:13:38,760 Speaker 9: is how the media is treating bitcoin, and really that 271 00:13:38,880 --> 00:13:42,200 Speaker 9: negativity has evaporated many you know, there's been a lot 272 00:13:42,200 --> 00:13:44,960 Speaker 9: of peer reviewed research that's come out that has proven 273 00:13:45,040 --> 00:13:49,079 Speaker 9: that bitcoin can help incentivize the renewable build out by 274 00:13:49,120 --> 00:13:52,880 Speaker 9: acting as this economic battery. And it's been very encouraging 275 00:13:52,880 --> 00:13:55,880 Speaker 9: to see that transformation. And because of that, Bitcoin and 276 00:13:55,920 --> 00:14:00,720 Speaker 9: AI are now inextricably linked. Both require vast of energy. 277 00:14:00,880 --> 00:14:04,360 Speaker 9: Bitcoin miners are beginning to pivot and transition some of 278 00:14:04,400 --> 00:14:08,839 Speaker 9: their electricity to serve the AI market. And those bitcoin miners, 279 00:14:08,880 --> 00:14:11,560 Speaker 9: the publicly traded ones that have pivoted their stocks have 280 00:14:11,720 --> 00:14:14,200 Speaker 9: massively outperformed. So we think there's going to be more 281 00:14:14,240 --> 00:14:18,680 Speaker 9: of that convergence between bitcoin and AI, and President Trump 282 00:14:18,760 --> 00:14:19,920 Speaker 9: certainly understands not so. 283 00:14:19,920 --> 00:14:22,680 Speaker 7: Bitcoin companies now are just saying, wait a minute, I've 284 00:14:22,680 --> 00:14:25,280 Speaker 7: got a new revenue stream. I'm helping out the AI 285 00:14:25,320 --> 00:14:26,600 Speaker 7: guys who need access to data sent. 286 00:14:26,800 --> 00:14:30,720 Speaker 9: Yeah, the bitcoin miners traded about four million dollars per 287 00:14:30,880 --> 00:14:34,680 Speaker 9: megawat of power that they control. The data center companies 288 00:14:34,720 --> 00:14:37,480 Speaker 9: trade at forty million dollars per megawatt, so there is 289 00:14:37,520 --> 00:14:40,360 Speaker 9: an enormous arbitrage. It takes a bit of capex to 290 00:14:40,440 --> 00:14:44,160 Speaker 9: repurpose these facilities. You need redundant power, you need better 291 00:14:44,200 --> 00:14:48,560 Speaker 9: fiber connections, more water. But once you do, the economics 292 00:14:48,600 --> 00:14:51,600 Speaker 9: are highly compelling, and those are the stocks that are outperforming. 293 00:14:51,960 --> 00:14:56,040 Speaker 4: Cryp crypt Go gives you a launch pad monitor for 294 00:14:56,080 --> 00:14:58,840 Speaker 4: all that crypto stuff that Bloomberg's got it. What else 295 00:14:58,880 --> 00:15:02,040 Speaker 4: besides Bitcoin should I be focusing on in the crypto space. 296 00:15:02,200 --> 00:15:05,520 Speaker 9: Yeah, well, we like these smart contract platforms. These are 297 00:15:05,560 --> 00:15:09,640 Speaker 9: the automated open source databases that act like an open 298 00:15:09,640 --> 00:15:13,280 Speaker 9: source app store. So Solana and Ethereum would be among 299 00:15:13,320 --> 00:15:15,720 Speaker 9: the most prominent. We've got regulators in the in the 300 00:15:15,800 --> 00:15:20,160 Speaker 9: US and the EU suing all of big tech for monopoly. 301 00:15:20,560 --> 00:15:24,040 Speaker 9: It's head scratching to me that the regulators don't incentivize 302 00:15:24,080 --> 00:15:26,600 Speaker 9: growth in these open source app stores that can take 303 00:15:26,720 --> 00:15:31,680 Speaker 9: margin away provide competition to the closed walled garden app stores. 304 00:15:31,720 --> 00:15:35,600 Speaker 9: So Ethereum, Solana, these also look quite strong to us. 305 00:15:35,680 --> 00:15:35,880 Speaker 3: Matt. 306 00:15:35,920 --> 00:15:41,080 Speaker 7: Maybe I'm just stupid, like I still try to understand bitcoin, cryptocurrencies, 307 00:15:41,120 --> 00:15:43,920 Speaker 7: what will be their role longer term? And I kind 308 00:15:43,920 --> 00:15:47,280 Speaker 7: of understand blockchain in terms of putting some important documents 309 00:15:47,320 --> 00:15:48,800 Speaker 7: and so on and so forth. I think that can 310 00:15:48,960 --> 00:15:51,640 Speaker 7: cut out a lot of middleman and be efficient and 311 00:15:51,800 --> 00:15:55,040 Speaker 7: understanding ownership. But tell me, like, what is still like? 312 00:15:55,120 --> 00:15:58,400 Speaker 7: I don't go shopping with bitcoin, I don't pay bills 313 00:15:58,440 --> 00:16:01,960 Speaker 7: with bitcoin trans to do that? He tried, and he 314 00:16:02,040 --> 00:16:05,880 Speaker 7: still tries, Right, But I don't, right. And I understand 315 00:16:05,880 --> 00:16:08,120 Speaker 7: we're going to get the emerging markets application, but it 316 00:16:08,200 --> 00:16:12,000 Speaker 7: isn't widespread. So what is ultimately the endgame with bitcoin? 317 00:16:12,040 --> 00:16:14,520 Speaker 7: And I asked that with pure respect of trying to 318 00:16:14,600 --> 00:16:15,760 Speaker 7: understand where this goes. 319 00:16:16,960 --> 00:16:20,120 Speaker 9: At its heart, this is an emerging market asset class 320 00:16:20,160 --> 00:16:25,040 Speaker 9: that provides an alternative to the US monetary policy. And 321 00:16:25,080 --> 00:16:28,320 Speaker 9: when we look at surveys around the world, the countries 322 00:16:28,360 --> 00:16:31,440 Speaker 9: that are most optimistic about bitcoin tend to be the 323 00:16:31,480 --> 00:16:37,040 Speaker 9: youngest countries Nigeria, the Philippines. The countries that are least 324 00:16:37,120 --> 00:16:42,200 Speaker 9: optimistic about bitcoin are the oldest countries Germany, France. So 325 00:16:42,720 --> 00:16:45,000 Speaker 9: we think of it as a way to get exposure 326 00:16:45,040 --> 00:16:47,920 Speaker 9: to emerging markets in a one percent position. What it 327 00:16:48,000 --> 00:16:50,520 Speaker 9: might take you a five percent position and an emerging market. 328 00:16:50,520 --> 00:16:52,520 Speaker 9: It's fun to do. And meanwhile, that five percent position 329 00:16:52,600 --> 00:16:55,360 Speaker 9: is thirty percent China. We're not seeing a lot of 330 00:16:55,400 --> 00:16:58,880 Speaker 9: demand for that specific allocation from our clients. 331 00:16:58,880 --> 00:16:59,680 Speaker 8: Great chat YEP. 332 00:16:59,720 --> 00:17:02,480 Speaker 3: Also, pretty much everything I know from crypto I know 333 00:17:02,520 --> 00:17:03,120 Speaker 3: from this guy. 334 00:17:02,960 --> 00:17:06,360 Speaker 4: Matt Siegel, head of Digital assets research at van Neck. 335 00:17:06,640 --> 00:17:08,720 Speaker 4: Of course he's originally from Bloomberg. That's the highlight of 336 00:17:08,760 --> 00:17:10,960 Speaker 4: his career. We appreciate him coming in and giving us 337 00:17:11,000 --> 00:17:12,600 Speaker 4: some thoughts on the whole crypto space. 338 00:17:12,600 --> 00:17:13,880 Speaker 3: It really is helpful. 339 00:17:14,240 --> 00:17:18,520 Speaker 2: This is the Bloomberg Surveillance Podcast. Listen live each weekday 340 00:17:18,600 --> 00:17:21,840 Speaker 2: starting at seven am Eastern on applecar Play and Android 341 00:17:21,840 --> 00:17:24,720 Speaker 2: Auto with the Bloomberg Business app. You can also listen 342 00:17:24,800 --> 00:17:27,920 Speaker 2: live on Amazon Alexa from our flagship New York station 343 00:17:28,320 --> 00:17:31,320 Speaker 2: Just Say Alexa playing Bloomberg eleven thirty. 344 00:17:31,400 --> 00:17:36,159 Speaker 4: Nineteen days, nineteen days the Election, David gerw you do 345 00:17:36,240 --> 00:17:37,240 Speaker 4: the podcast thing this? 346 00:17:37,400 --> 00:17:39,000 Speaker 3: I don't know what do we do? 347 00:17:39,200 --> 00:17:42,800 Speaker 4: Nineteen days The Baby's Take Podcast, The Big Take Podcast. 348 00:17:43,440 --> 00:17:45,600 Speaker 8: If you're either Kennedy, what do you do with nineteen 349 00:17:45,680 --> 00:17:46,439 Speaker 8: days left? 350 00:17:46,440 --> 00:17:48,160 Speaker 10: I guess I've got a piece of paper my desk, 351 00:17:48,240 --> 00:17:50,240 Speaker 10: just noting where each of these candidates is over the 352 00:17:50,240 --> 00:17:51,960 Speaker 10: next few days, and it's hard to keep track of 353 00:17:51,960 --> 00:17:53,720 Speaker 10: because they are traveling a ton. But I think what 354 00:17:53,760 --> 00:17:55,640 Speaker 10: we've seen in the last couple of days is them 355 00:17:55,640 --> 00:17:58,040 Speaker 10: trying to reach out to this very small sliver of 356 00:17:58,119 --> 00:18:01,680 Speaker 10: the population that remains. So you had former President Trump 357 00:18:01,680 --> 00:18:04,440 Speaker 10: going to Miami to do this town hall with Univision. 358 00:18:04,600 --> 00:18:07,159 Speaker 10: You had Vice President Harris sitting down in Pennsylvania with 359 00:18:07,160 --> 00:18:09,800 Speaker 10: Brettbeer of Fox News. I think that her goal for 360 00:18:09,840 --> 00:18:13,800 Speaker 10: that interview was to reach Republican women voters. And as 361 00:18:13,840 --> 00:18:16,879 Speaker 10: I watched that interview unfold, it was interesting. There are 362 00:18:16,880 --> 00:18:19,720 Speaker 10: no questions about reproductive rights, no questions about abortion. That's 363 00:18:19,720 --> 00:18:22,280 Speaker 10: really what the Harris campaign has been focusing on to 364 00:18:22,320 --> 00:18:24,199 Speaker 10: try to get some of those women to support her 365 00:18:24,240 --> 00:18:27,159 Speaker 10: campaign didn't come up over the course of that interview. 366 00:18:27,400 --> 00:18:29,399 Speaker 7: When it comes to seventeen days, I mean, what do 367 00:18:29,560 --> 00:18:31,560 Speaker 7: voters want to hear? And I'm just curious what really 368 00:18:31,560 --> 00:18:33,959 Speaker 7: sways them and makes them either change their mind or 369 00:18:34,160 --> 00:18:36,520 Speaker 7: decide to kind of you get up and actually vote. 370 00:18:36,600 --> 00:18:38,280 Speaker 10: It's interesting. I'd like to hope that it has to 371 00:18:38,320 --> 00:18:39,719 Speaker 10: do with policy, and I think that if you look 372 00:18:39,760 --> 00:18:42,159 Speaker 10: at the conversation that our college John Micklethwaite had with 373 00:18:42,160 --> 00:18:44,080 Speaker 10: former President Trump earlier this week. That was a very 374 00:18:44,840 --> 00:18:47,879 Speaker 10: policy heavy conversation. I'm not sure that that's going to 375 00:18:47,880 --> 00:18:49,960 Speaker 10: sway voters at this point. And I'm as flummoxed as anyone, 376 00:18:50,040 --> 00:18:52,040 Speaker 10: I think, by those who have been living through this 377 00:18:52,119 --> 00:18:53,920 Speaker 10: campaign that has gone on for so long and still 378 00:18:53,960 --> 00:18:57,040 Speaker 10: haven't made up their minds about who they're going to support. 379 00:18:57,200 --> 00:18:59,520 Speaker 7: How long though for Kamala, and I wonder if that's 380 00:18:59,560 --> 00:19:01,800 Speaker 7: a dissent advantage or advantage. I think I feel like 381 00:19:01,800 --> 00:19:02,720 Speaker 7: there's some debate on that. 382 00:19:02,800 --> 00:19:04,720 Speaker 10: It's a great question, and I think, you know, going 383 00:19:04,760 --> 00:19:07,040 Speaker 10: back to that Fox News interview, I think there are 384 00:19:07,040 --> 00:19:09,640 Speaker 10: a lot of people who haven't been exposed to her 385 00:19:09,680 --> 00:19:11,440 Speaker 10: a ton don't know what she stands for, still have 386 00:19:11,560 --> 00:19:14,440 Speaker 10: questions about her platform and her background, and I think, yes, 387 00:19:14,480 --> 00:19:16,600 Speaker 10: there was that effort to reach out to those voters 388 00:19:16,680 --> 00:19:18,879 Speaker 10: kind of on certain issues, but I think it was 389 00:19:18,880 --> 00:19:20,679 Speaker 10: also just a moment for her to introduce herself to 390 00:19:20,680 --> 00:19:23,440 Speaker 10: people who might not hear from her outside of soundbites 391 00:19:23,680 --> 00:19:25,240 Speaker 10: on that network in particular. 392 00:19:25,119 --> 00:19:26,800 Speaker 4: And David, I guess what I hear from a lot 393 00:19:26,840 --> 00:19:29,040 Speaker 4: of the political pros is it's really going to be 394 00:19:29,040 --> 00:19:33,400 Speaker 4: a story about turnout, and I guess how both sides 395 00:19:33,840 --> 00:19:36,720 Speaker 4: thinking about turnout is a higher turnout and advantage for 396 00:19:36,800 --> 00:19:37,680 Speaker 4: one versus the other. 397 00:19:38,200 --> 00:19:40,440 Speaker 10: We know a lot more about the ground game that 398 00:19:40,560 --> 00:19:42,760 Speaker 10: the Harris campaign has constructed, and of course, I think 399 00:19:42,760 --> 00:19:45,520 Speaker 10: one of the more astonishing and interesting things about that 400 00:19:45,560 --> 00:19:48,840 Speaker 10: transition that took place in July is that Kamala Harris 401 00:19:48,880 --> 00:19:53,520 Speaker 10: inherited the campaign almost wholesale from President Biden, the staff, 402 00:19:53,600 --> 00:19:56,040 Speaker 10: the whole apparatus. And so we know that they've raised 403 00:19:56,040 --> 00:19:59,600 Speaker 10: an incredible amount of money billion dollars and they're deploying 404 00:19:59,600 --> 00:20:02,639 Speaker 10: that on advertising, digital and TV advertising, traditional advertising, but 405 00:20:02,680 --> 00:20:05,240 Speaker 10: also on the ground game as well. So in the 406 00:20:05,280 --> 00:20:09,119 Speaker 10: memos that the campaign management puts out, they emphasize a 407 00:20:09,119 --> 00:20:11,280 Speaker 10: lot how many volunteers, how much staff they have across 408 00:20:11,320 --> 00:20:13,600 Speaker 10: the country, particularly in those swing states. We know less 409 00:20:13,600 --> 00:20:15,800 Speaker 10: about the Trump campaign, but Trump campaigns raised a lot 410 00:20:15,800 --> 00:20:18,679 Speaker 10: of money as well, has a lot of support from packs. 411 00:20:18,840 --> 00:20:22,600 Speaker 10: Elon musk Is set up camp in Pennsylvania. So they 412 00:20:22,640 --> 00:20:24,880 Speaker 10: are less clear about sort of how they're deploying that money. 413 00:20:24,880 --> 00:20:26,240 Speaker 10: But I think you're right, Paul, that the ground game 414 00:20:26,280 --> 00:20:28,960 Speaker 10: is crucial here in both candidates understand that, hey, there's. 415 00:20:28,840 --> 00:20:31,640 Speaker 7: Early voting, though, David already in several states, and I'm 416 00:20:31,640 --> 00:20:33,359 Speaker 7: just curious. I've been hearing it feel like it sounds 417 00:20:33,400 --> 00:20:35,600 Speaker 7: like a lot of early voting happening, and I'm not 418 00:20:35,640 --> 00:20:37,240 Speaker 7: sure what that is as an indicator. 419 00:20:37,480 --> 00:20:39,439 Speaker 10: You know, I think it's a sign that people are 420 00:20:39,440 --> 00:20:41,439 Speaker 10: engaged and that every vote is going to count and 421 00:20:41,560 --> 00:20:44,000 Speaker 10: no candidate is taking votes for granted, any of these places, 422 00:20:44,040 --> 00:20:45,720 Speaker 10: I think, you know, as from North Carolina and have 423 00:20:45,760 --> 00:20:47,320 Speaker 10: been following through of what's been going on there with 424 00:20:47,680 --> 00:20:49,720 Speaker 10: their fallout from the hurricane that hit. 425 00:20:49,640 --> 00:20:50,919 Speaker 8: That they'll be able to vote. 426 00:20:50,960 --> 00:20:52,560 Speaker 10: They will be able to vote, and you saw changes 427 00:20:52,560 --> 00:20:54,960 Speaker 10: made both by the state election board and by the 428 00:20:55,000 --> 00:20:56,800 Speaker 10: legislature as well to make it so that you could 429 00:20:56,800 --> 00:20:58,840 Speaker 10: pick up your ballot in one place deposited in another. 430 00:20:59,000 --> 00:21:01,760 Speaker 10: So I think that officials in that state in Florida 431 00:21:01,840 --> 00:21:04,400 Speaker 10: as well, almost to the same extent, recognize the fact 432 00:21:04,400 --> 00:21:05,760 Speaker 10: that this is something that's really friend of mine to 433 00:21:05,760 --> 00:21:07,560 Speaker 10: a lot of people, and don't they don't. They don't 434 00:21:07,560 --> 00:21:10,880 Speaker 10: want to make people have to be unable to vote obviously, 435 00:21:11,000 --> 00:21:13,320 Speaker 10: or have difficulty voting. They're trying to make it more 436 00:21:13,359 --> 00:21:15,840 Speaker 10: possible for them. I think Florida the hitches, there was 437 00:21:15,880 --> 00:21:19,120 Speaker 10: a push for Governor Ron DeSantis to extend how you could, 438 00:21:19,359 --> 00:21:21,440 Speaker 10: like you could register to vote. He hasn't budged on that. 439 00:21:21,520 --> 00:21:25,840 Speaker 10: In North Carolina has been some flexibility there October. 440 00:21:26,000 --> 00:21:29,560 Speaker 4: I mean, is there anything that could move this needle 441 00:21:29,600 --> 00:21:30,560 Speaker 4: here one way or the other? 442 00:21:30,600 --> 00:21:32,960 Speaker 3: Do you think? I mean October surprises. I'm not sure. 443 00:21:33,000 --> 00:21:34,959 Speaker 3: We've had hurricanes and guy, so I'm not sure what 444 00:21:35,000 --> 00:21:35,320 Speaker 3: that is. 445 00:21:35,440 --> 00:21:37,679 Speaker 10: I think, barring that, I mean, going back to that 446 00:21:37,800 --> 00:21:40,679 Speaker 10: Fox News interview, there has been some speculation could there 447 00:21:40,720 --> 00:21:42,960 Speaker 10: be another debate. It's it's getting now pretty close to 448 00:21:42,960 --> 00:21:44,280 Speaker 10: the election day and it seems like that's. 449 00:21:44,160 --> 00:21:46,600 Speaker 3: Not going to happen. The erecting on the table could 450 00:21:46,680 --> 00:21:47,080 Speaker 3: could be. 451 00:21:47,119 --> 00:21:48,920 Speaker 10: I mean, it's possible they could, they could build together. 452 00:21:49,000 --> 00:21:50,359 Speaker 3: I think that the betting. 453 00:21:50,119 --> 00:21:52,680 Speaker 10: Odds have gotten reduced over these last these last few days. 454 00:21:52,760 --> 00:21:55,639 Speaker 10: But see TV, as they used to say, yeah, yeah, yeah, 455 00:21:55,680 --> 00:21:56,919 Speaker 10: but you know, barring that, I think we're going to 456 00:21:56,920 --> 00:21:58,240 Speaker 10: see a few more moments like the one that we 457 00:21:58,280 --> 00:22:02,439 Speaker 10: saw last night, not exactly frass exactly, you know, I 458 00:22:02,440 --> 00:22:03,840 Speaker 10: think that we'll see a few more moments like we 459 00:22:03,840 --> 00:22:05,880 Speaker 10: saw last night that is each candidate kind of doing 460 00:22:05,880 --> 00:22:10,399 Speaker 10: maybe more town hall with just themselves and a news anchor, 461 00:22:10,680 --> 00:22:12,280 Speaker 10: we're doing a sit down interview. I think, you know, 462 00:22:12,280 --> 00:22:14,080 Speaker 10: if you look at the way that the Harris campaign 463 00:22:14,119 --> 00:22:16,320 Speaker 10: has pivoted over these last few weeks, you know, they 464 00:22:16,359 --> 00:22:18,240 Speaker 10: went from taking a lot of flak for not doing 465 00:22:18,240 --> 00:22:20,720 Speaker 10: interviews to doing a ton of them and really the 466 00:22:20,760 --> 00:22:23,120 Speaker 10: gamut of them. So it started out with these kind 467 00:22:23,119 --> 00:22:26,680 Speaker 10: of friendlier sit downs appearance on late night shows. Now 468 00:22:26,760 --> 00:22:29,320 Speaker 10: this Kamala Harris sitting down with this kind of very 469 00:22:30,000 --> 00:22:32,520 Speaker 10: kind of adversarial network where she's had a lot of trouble, 470 00:22:33,200 --> 00:22:34,800 Speaker 10: I think it's harder for the Trump campaign to kind 471 00:22:34,800 --> 00:22:36,480 Speaker 10: of make the argument that she hasn't approached the media 472 00:22:36,720 --> 00:22:38,000 Speaker 10: or done these kind of serious interviews. 473 00:22:38,040 --> 00:22:40,280 Speaker 7: On the Bloomberg you can pull up all the different 474 00:22:40,280 --> 00:22:43,240 Speaker 7: polling and stuff. It kind of is mind blowing. I know, 475 00:22:43,280 --> 00:22:45,879 Speaker 7: we've all learned lessons about polls aren't always correct, So 476 00:22:45,920 --> 00:22:47,960 Speaker 7: how do you read it? It looks like a very close race. 477 00:22:48,240 --> 00:22:50,760 Speaker 7: I'm looking at one poll general election Kamala Harris forty 478 00:22:50,840 --> 00:22:53,359 Speaker 7: nine point three, Donald Trump forty seven point seven. But 479 00:22:53,400 --> 00:22:56,520 Speaker 7: there's another poll that will show the opposite. So is 480 00:22:56,560 --> 00:22:58,400 Speaker 7: there a smart thought about that too. 481 00:22:58,720 --> 00:23:00,960 Speaker 10: I think it's to kind of look at the poles broadly. 482 00:23:01,000 --> 00:23:02,640 Speaker 10: So you bring up a few of them, you bring 483 00:23:02,720 --> 00:23:04,560 Speaker 10: up these averages. I mean, we're being inundated with them, 484 00:23:04,600 --> 00:23:06,800 Speaker 10: and there'll be a new Bloomberg Morning Console poll before 485 00:23:06,840 --> 00:23:08,879 Speaker 10: long as well. I think what it gives us is 486 00:23:08,920 --> 00:23:10,640 Speaker 10: kind of an insight into what's happening at a more 487 00:23:10,640 --> 00:23:13,320 Speaker 10: granular level at a state level. I think back on 488 00:23:13,359 --> 00:23:15,080 Speaker 10: the last Bloomberg Pole that we did, and we kind 489 00:23:15,080 --> 00:23:18,119 Speaker 10: of saw movement at the state level in those swing states. 490 00:23:18,520 --> 00:23:20,960 Speaker 10: Also highlights what the issues are that matter to voters. 491 00:23:21,000 --> 00:23:23,240 Speaker 10: So I said at the top, Kamala Harris wasn't able 492 00:23:23,240 --> 00:23:25,040 Speaker 10: to speak much about reproductive rights. You did talk a 493 00:23:25,040 --> 00:23:27,120 Speaker 10: lot about immigration. And the way that Brett Bear set 494 00:23:27,119 --> 00:23:29,000 Speaker 10: it up at the top of that interview is to say, look, 495 00:23:29,040 --> 00:23:30,720 Speaker 10: you look at all of these poles that you mentioned, 496 00:23:31,560 --> 00:23:34,119 Speaker 10: Economies at the top, immigration's right below it. So I 497 00:23:34,119 --> 00:23:36,320 Speaker 10: think that there hasn't been a whole lot of movement 498 00:23:36,320 --> 00:23:37,760 Speaker 10: in that. I think that that's kind of what voters 499 00:23:37,760 --> 00:23:39,720 Speaker 10: have coluster and those are the things that matter for them. 500 00:23:40,320 --> 00:23:41,920 Speaker 10: But again, as I look at the polling. I'm looking 501 00:23:41,920 --> 00:23:44,080 Speaker 10: for again averages, and I'm looking for sort of what 502 00:23:44,160 --> 00:23:46,360 Speaker 10: stands out in terms of topics or sort of how 503 00:23:46,440 --> 00:23:49,040 Speaker 10: each candidate might be seeing some movement in terms of 504 00:23:49,080 --> 00:23:51,520 Speaker 10: how voters perceive they're able to do on those particular issues. 505 00:23:51,600 --> 00:23:54,200 Speaker 10: Still close, then incredibly close, and it will be and 506 00:23:54,240 --> 00:23:55,919 Speaker 10: I mean just to be candidate, I mean planning for 507 00:23:55,960 --> 00:23:58,560 Speaker 10: what election day, election night's going to be like. I 508 00:23:58,560 --> 00:24:01,080 Speaker 10: think I think all of us are building in some flexibility. 509 00:24:01,119 --> 00:24:02,879 Speaker 10: Shall we say, sort of how long it takes to 510 00:24:02,880 --> 00:24:04,800 Speaker 10: get results and sort of what comes after that? And 511 00:24:04,840 --> 00:24:06,880 Speaker 10: I'll just put a quick plug in for the podcast today. 512 00:24:07,280 --> 00:24:09,199 Speaker 10: My colleagues lay most news based in DC is doing 513 00:24:09,200 --> 00:24:11,720 Speaker 10: an episode SI on all of the litigation that we've 514 00:24:11,720 --> 00:24:14,040 Speaker 10: seen since the twenty twenty election and sort of what 515 00:24:14,080 --> 00:24:16,360 Speaker 10: that portends for this the fact that the courts are 516 00:24:16,440 --> 00:24:19,119 Speaker 10: likely to be busy, I think, depending on on how 517 00:24:19,119 --> 00:24:19,959 Speaker 10: this election turns out. 518 00:24:19,960 --> 00:24:21,600 Speaker 7: Oh wait, so the lawyers win again. 519 00:24:23,200 --> 00:24:26,880 Speaker 10: Winner breaking no news here, but yes, the lawyers always. 520 00:24:26,880 --> 00:24:29,760 Speaker 4: All right, David, you're going to be co hosting surveials tomorrow, 521 00:24:30,720 --> 00:24:36,000 Speaker 4: Yes with you? Yes, yeah, absolutely that David. He is 522 00:24:36,200 --> 00:24:38,959 Speaker 4: the host of the Big take podcast for Bloomberg News. Uh, 523 00:24:39,160 --> 00:24:41,800 Speaker 4: he's just following up on all things on this race 524 00:24:41,840 --> 00:24:45,360 Speaker 4: here and again the presidential race that down ballot impacts. 525 00:24:44,880 --> 00:24:46,639 Speaker 3: Here, you know, where does Congress go? 526 00:24:47,200 --> 00:24:50,400 Speaker 4: It's gonna be a fascinating issue. And again, as David 527 00:24:50,440 --> 00:24:52,040 Speaker 4: was suggesting, Carroll, I don't think we're going to know 528 00:24:52,119 --> 00:24:53,439 Speaker 4: it nine or ten o'clock. 529 00:24:53,520 --> 00:24:56,600 Speaker 7: Remember that last time around, like kuoha, right, and it 530 00:24:56,720 --> 00:24:58,320 Speaker 7: drigged down for a little while. 531 00:24:58,359 --> 00:25:00,320 Speaker 3: But yeah, I think that's the new world order. 532 00:25:05,320 --> 00:25:09,640 Speaker 2: This is the Bloomberg Surveillance Podcast. Listen live each weekday 533 00:25:09,720 --> 00:25:12,920 Speaker 2: starting at seven am Eastern on applecar Play and Android 534 00:25:12,960 --> 00:25:15,879 Speaker 2: Auto with the Bloomberg Business app. You can also watch 535 00:25:15,960 --> 00:25:19,199 Speaker 2: us live every weekday on YouTube and always on the 536 00:25:19,200 --> 00:25:20,199 Speaker 2: Bloomberg terminal. 537 00:25:20,359 --> 00:25:21,639 Speaker 3: I still read the newspapers, the. 538 00:25:21,680 --> 00:25:23,919 Speaker 4: Journal and the Times. I've been doing it since nineteen 539 00:25:23,920 --> 00:25:25,400 Speaker 4: eighty six. I'm not going to stop. That's the way 540 00:25:25,400 --> 00:25:26,160 Speaker 4: I start every day. 541 00:25:26,240 --> 00:25:27,440 Speaker 7: Do you still really read yeah? 542 00:25:27,480 --> 00:25:27,880 Speaker 3: Every day? 543 00:25:28,040 --> 00:25:28,640 Speaker 8: That's really cool. 544 00:25:28,760 --> 00:25:29,080 Speaker 3: The Journal. 545 00:25:29,160 --> 00:25:29,840 Speaker 8: Do you have an app? 546 00:25:30,280 --> 00:25:30,359 Speaker 7: You? 547 00:25:30,440 --> 00:25:30,600 Speaker 2: Yeah? 548 00:25:30,680 --> 00:25:31,080 Speaker 8: You do that. 549 00:25:31,480 --> 00:25:32,520 Speaker 3: I'm actually digital now. 550 00:25:32,680 --> 00:25:36,040 Speaker 8: Yes, I don't have the ink on the hands off. 551 00:25:35,920 --> 00:25:38,119 Speaker 4: When you get into the office at least, Mitey, what 552 00:25:38,160 --> 00:25:38,880 Speaker 4: do you got for us today. 553 00:25:38,960 --> 00:25:39,720 Speaker 6: Right, Financial Times. 554 00:25:39,720 --> 00:25:40,639 Speaker 8: Okay, you talked about him. 555 00:25:40,640 --> 00:25:43,600 Speaker 1: Okay, this was in the Financial Times. Another perk to 556 00:25:43,680 --> 00:25:46,760 Speaker 1: ozembic similar products glp ones. A study shows that it 557 00:25:46,800 --> 00:25:50,439 Speaker 1: cuts opioid alcohol abuse by up to half. Now, this 558 00:25:50,600 --> 00:25:53,119 Speaker 1: was published in the journal Addiction. So they took an 559 00:25:53,119 --> 00:25:55,199 Speaker 1: analysis of more than five hundred thousand people with a 560 00:25:55,280 --> 00:25:57,440 Speaker 1: history of opioid use disorder, and it showed that more 561 00:25:57,480 --> 00:26:01,159 Speaker 1: than eight thousand who were separately perscribe GLP one drugs 562 00:26:01,160 --> 00:26:04,680 Speaker 1: had a forty percent lower rate of opioid overdose than 563 00:26:04,720 --> 00:26:06,840 Speaker 1: those who did not. So it's kind of showing this 564 00:26:06,960 --> 00:26:08,879 Speaker 1: other side. You've been hearing about these different perks that 565 00:26:08,960 --> 00:26:11,560 Speaker 1: glp ones can do, but this is another side to 566 00:26:11,600 --> 00:26:14,159 Speaker 1: it because you have the opioid epidemic and now this 567 00:26:14,240 --> 00:26:14,800 Speaker 1: adds to it. 568 00:26:14,880 --> 00:26:15,520 Speaker 6: This is so cool. 569 00:26:15,520 --> 00:26:17,439 Speaker 7: It has to do with like the brain's reward system, right, 570 00:26:17,480 --> 00:26:19,760 Speaker 7: and you're wondering, like it's triggering off something. I feel 571 00:26:19,840 --> 00:26:21,800 Speaker 7: like every time we talk with our Madison Muller who 572 00:26:21,840 --> 00:26:23,760 Speaker 7: covers it, this is the drug that is going to 573 00:26:23,840 --> 00:26:26,840 Speaker 7: solve everything that ails us. It's unbelievable. 574 00:26:26,880 --> 00:26:29,760 Speaker 4: It's unbelievable. I have some first hand experience with these 575 00:26:29,960 --> 00:26:33,520 Speaker 4: GLP one man, they work. Yeah, I mean I've seen 576 00:26:33,560 --> 00:26:36,560 Speaker 4: it too, but the nausea is unbelievable. Once they figure 577 00:26:36,560 --> 00:26:38,680 Speaker 4: out to get rid of the nausea side effect, this 578 00:26:38,680 --> 00:26:40,919 Speaker 4: thing is going and put in an oral thing. We 579 00:26:41,040 --> 00:26:41,720 Speaker 4: just take the pill. 580 00:26:41,840 --> 00:26:44,679 Speaker 3: This thing can be everybody's can be doing I think crazy. 581 00:26:44,800 --> 00:26:46,680 Speaker 3: And then you add this to it. Yep, exactly, Can 582 00:26:46,680 --> 00:26:47,119 Speaker 3: I explode? 583 00:26:47,280 --> 00:26:47,399 Speaker 7: Right? 584 00:26:47,440 --> 00:26:47,760 Speaker 3: What else? 585 00:26:48,080 --> 00:26:48,159 Speaker 5: All? 586 00:26:48,240 --> 00:26:48,359 Speaker 3: Right? 587 00:26:48,400 --> 00:26:52,040 Speaker 1: So do you feel like your body takes a little 588 00:26:52,040 --> 00:26:55,560 Speaker 1: bit longer to bounce back? Yes, Okay, there's a scientific 589 00:26:55,640 --> 00:26:59,320 Speaker 1: reason behind this. It's called biological resilience. Okay, this is 590 00:26:59,320 --> 00:27:01,800 Speaker 1: what it's called. But this was in the Wall Street journals. 591 00:27:01,840 --> 00:27:05,840 Speaker 1: So it basically shows different things parenting, work changes, and 592 00:27:05,880 --> 00:27:08,800 Speaker 1: exercise habits, menopause, all of these stuff add up a 593 00:27:08,800 --> 00:27:10,760 Speaker 1: lot of stress on your body, and as you get 594 00:27:10,760 --> 00:27:13,960 Speaker 1: older it gets worse. You lose muscle masks while you age, 595 00:27:13,960 --> 00:27:16,160 Speaker 1: so you have a greater risk at injury, like all 596 00:27:16,200 --> 00:27:19,040 Speaker 1: of these different things. So what they say you're supposed 597 00:27:19,040 --> 00:27:22,320 Speaker 1: to do is eat fewer calories to maintain weight. But 598 00:27:22,359 --> 00:27:25,199 Speaker 1: they also say as you have more medications, side effects 599 00:27:25,200 --> 00:27:27,600 Speaker 1: affects you more. But they pointed out something they said 600 00:27:28,160 --> 00:27:31,040 Speaker 1: at two ages. This was another thing. Between forty four 601 00:27:31,080 --> 00:27:33,520 Speaker 1: and sixty those two marks were like the ones that 602 00:27:33,640 --> 00:27:34,520 Speaker 1: hit you the hardest. 603 00:27:34,920 --> 00:27:35,960 Speaker 3: So the one that hit. 604 00:27:35,840 --> 00:27:38,159 Speaker 8: Me the hardest, literally was on my birthday when I 605 00:27:38,200 --> 00:27:39,120 Speaker 8: turned sixty. 606 00:27:38,880 --> 00:27:41,199 Speaker 3: So that was the one sixty Yeah, and. 607 00:27:43,760 --> 00:27:46,240 Speaker 8: I say this, you look really good. Yeah, but my knees. 608 00:27:46,280 --> 00:27:48,080 Speaker 3: I'm not going with my doctor and he's like, dude, you're 609 00:27:48,080 --> 00:27:49,760 Speaker 3: just old man. It's the knees that's not the ratest 610 00:27:49,800 --> 00:27:50,240 Speaker 3: on your knees. 611 00:27:50,240 --> 00:27:53,240 Speaker 4: I'm like, no, way, I have arts, but you are 612 00:27:53,240 --> 00:27:55,480 Speaker 4: we arms today is what do we do? 613 00:27:55,600 --> 00:27:55,639 Speaker 1: Like? 614 00:27:56,640 --> 00:27:59,680 Speaker 7: Okay said, I listen to you guys all the time. 615 00:27:59,760 --> 00:28:02,679 Speaker 3: You are like unbelievable. She's a beast. 616 00:28:02,920 --> 00:28:04,639 Speaker 1: But it's harder to even say, like, you know how 617 00:28:04,640 --> 00:28:06,040 Speaker 1: I used to wake up when you were younger after 618 00:28:06,080 --> 00:28:07,840 Speaker 1: a night of drinking and it was hot and you 619 00:28:07,920 --> 00:28:10,240 Speaker 1: just bounce back. They say, the reason you can't bounce 620 00:28:10,280 --> 00:28:12,960 Speaker 1: back that much now is because your body's more dehydrate. 621 00:28:12,960 --> 00:28:14,800 Speaker 1: It dehydrates faster as you get older. 622 00:28:15,000 --> 00:28:15,560 Speaker 6: We can't win. 623 00:28:15,920 --> 00:28:18,679 Speaker 7: I just I just think what the telltale sign is 624 00:28:18,680 --> 00:28:20,440 Speaker 7: like as you move and you like make those noises 625 00:28:20,440 --> 00:28:23,120 Speaker 7: like wake up, I do that when you. 626 00:28:23,080 --> 00:28:27,679 Speaker 1: Were younger, okay, Chick fil A looking for a big 627 00:28:27,720 --> 00:28:30,080 Speaker 1: plan for chicken domination in Asia. 628 00:28:30,160 --> 00:28:31,280 Speaker 3: They want Chick fil A. 629 00:28:31,600 --> 00:28:33,280 Speaker 6: You've never gotten it, No, I don't. 630 00:28:33,320 --> 00:28:35,160 Speaker 7: I don't get the idea. 631 00:28:35,119 --> 00:28:38,600 Speaker 4: Chick Matt Miller brings it in like he'll go when 632 00:28:38,640 --> 00:28:40,120 Speaker 4: he was back before it down the block. 633 00:28:40,160 --> 00:28:41,520 Speaker 3: Yeah, and he would bring it for everybody. 634 00:28:41,520 --> 00:28:45,920 Speaker 1: So but it is no, it's moving, it's moving. Plants 635 00:28:45,960 --> 00:28:48,240 Speaker 1: open in Singapore late twenty twenty five. It's this ten 636 00:28:48,320 --> 00:28:51,800 Speaker 1: year long, seventy five million dollars investment into Singapore. But 637 00:28:51,880 --> 00:28:53,840 Speaker 1: they also what they're doing too, is there depending on 638 00:28:53,920 --> 00:28:56,280 Speaker 1: application to be the island's first independent Chick fil A 639 00:28:56,480 --> 00:28:58,840 Speaker 1: franchise owner. So that's a separate thing too. 640 00:28:59,080 --> 00:29:00,120 Speaker 8: But there's other people. 641 00:28:59,840 --> 00:29:02,200 Speaker 1: Out there's other brands. You have Shake Shack, Tim Horton, 642 00:29:02,320 --> 00:29:04,280 Speaker 1: Cinnebun over in Singapore already. 643 00:29:04,400 --> 00:29:05,880 Speaker 6: So Cinnebun that's another one. 644 00:29:06,760 --> 00:29:08,800 Speaker 7: I mean, they smell great right in the airport, but man, 645 00:29:08,800 --> 00:29:10,400 Speaker 7: once you eat them twenty minutes later. 646 00:29:10,200 --> 00:29:12,560 Speaker 3: And may well say, here's the airport. Cinea. 647 00:29:12,840 --> 00:29:15,000 Speaker 4: It used to be my excuse for the once in 648 00:29:15,080 --> 00:29:17,640 Speaker 4: a while McDonald's or Wendy's. 649 00:29:17,280 --> 00:29:18,960 Speaker 8: But you can't find the fast food anymore. 650 00:29:19,040 --> 00:29:21,680 Speaker 3: These airports, they are all gone off these high ends, right, 651 00:29:21,720 --> 00:29:22,200 Speaker 3: thing like that. 652 00:29:22,400 --> 00:29:24,560 Speaker 4: I mean like even in Newark, you know, which is 653 00:29:24,600 --> 00:29:26,840 Speaker 4: my home base, you can't find I was in ternal 654 00:29:26,880 --> 00:29:27,520 Speaker 4: A yesterday. 655 00:29:27,720 --> 00:29:28,560 Speaker 8: You can't find any. 656 00:29:28,480 --> 00:29:29,200 Speaker 3: New Jersey void. 657 00:29:29,240 --> 00:29:31,520 Speaker 8: Don't make fun of Newark Terminal. 658 00:29:32,880 --> 00:29:38,160 Speaker 1: Come ont okay. So lastly, Nike, they've been on this 659 00:29:38,240 --> 00:29:40,600 Speaker 1: hunt for new growth revenues, right so they think they 660 00:29:40,720 --> 00:29:42,880 Speaker 1: finally found it. Bloomberg got their hands on this memo 661 00:29:42,960 --> 00:29:44,960 Speaker 1: to employees and it said that they're turning to a 662 00:29:44,960 --> 00:29:48,560 Speaker 1: global push for its outdoor business. It's called All Conditions Gear, 663 00:29:48,880 --> 00:29:51,880 Speaker 1: so hiking gear, things like waterproof boots, these certain jackets, 664 00:29:51,960 --> 00:29:55,200 Speaker 1: zip off skirts, day packs. China is going to be 665 00:29:55,200 --> 00:29:56,960 Speaker 1: a focus for them, which is kind of interesting in 666 00:29:56,960 --> 00:29:57,360 Speaker 1: that way. 667 00:29:57,600 --> 00:29:59,240 Speaker 6: But it's just like a crowded area. 668 00:29:59,240 --> 00:30:00,760 Speaker 3: I mean, you have Pad, you. 669 00:30:00,880 --> 00:30:03,520 Speaker 1: Have north Face, Like is this going to work for them? 670 00:30:04,040 --> 00:30:07,560 Speaker 7: I love how things are named like ACG All Conditions Gear. Yes, 671 00:30:08,440 --> 00:30:10,560 Speaker 7: it's just outside things. It's hiking boots and all that 672 00:30:10,640 --> 00:30:11,120 Speaker 7: kind of stuff. 673 00:30:11,320 --> 00:30:14,840 Speaker 4: We get Derek Jeter and the guy who does the 674 00:30:14,920 --> 00:30:17,680 Speaker 4: untucked shirts in Oh yes, interviewing. I don't know if 675 00:30:17,680 --> 00:30:20,080 Speaker 4: you guys have we had the money yes, they were fabulous, 676 00:30:20,080 --> 00:30:22,760 Speaker 4: and they were talking about entering this business, and I 677 00:30:22,800 --> 00:30:25,120 Speaker 4: was looking. I was like, aren't there a million like 678 00:30:25,280 --> 00:30:28,760 Speaker 4: great companies already doing this stuff this at leisure? It 679 00:30:28,840 --> 00:30:31,600 Speaker 4: just seems like such a crowded market with like really good. 680 00:30:31,400 --> 00:30:33,920 Speaker 7: Stuff, yes and yes, and that everybody's trying to go 681 00:30:33,960 --> 00:30:36,240 Speaker 7: for like the best kind of feeling products. But I 682 00:30:36,280 --> 00:30:38,760 Speaker 7: also do think when you throw a celebrity like Derek Jeter, 683 00:30:39,160 --> 00:30:41,720 Speaker 7: like those are brands that get noticed. Whether he wears them, 684 00:30:41,720 --> 00:30:44,480 Speaker 7: his friends wear them, and we shall see. But I 685 00:30:44,480 --> 00:30:46,920 Speaker 7: agree with you it's a super crowded market. 686 00:30:47,240 --> 00:30:48,840 Speaker 6: But more people doing the outdoor stuff. 687 00:30:48,840 --> 00:30:50,240 Speaker 7: You know, what do you wear when you wear work 688 00:30:50,760 --> 00:30:51,200 Speaker 7: work out? 689 00:30:51,400 --> 00:30:54,880 Speaker 1: I go to like not to get personal, no like gap. 690 00:30:55,040 --> 00:30:56,440 Speaker 9: I go to like old Baby. 691 00:30:56,480 --> 00:30:57,760 Speaker 3: I don't spend the whole like you don't. 692 00:30:58,720 --> 00:31:00,080 Speaker 6: I don't do the Lulu lemon. 693 00:31:00,720 --> 00:31:02,880 Speaker 3: Alice doesn't do the little pair of leggings. 694 00:31:02,880 --> 00:31:04,080 Speaker 8: Is that crazy? 695 00:31:04,840 --> 00:31:05,400 Speaker 3: No comments. 696 00:31:05,680 --> 00:31:10,360 Speaker 7: I also do buy when they're on sale. They don't 697 00:31:10,360 --> 00:31:12,480 Speaker 7: go on sale a lot, but I do buy some things, 698 00:31:12,480 --> 00:31:13,280 Speaker 7: but you can get it on. 699 00:31:13,240 --> 00:31:15,320 Speaker 3: Sale very good. That is our newspaper segment with at 700 00:31:15,360 --> 00:31:15,960 Speaker 3: least my tail. 701 00:31:16,160 --> 00:31:16,800 Speaker 8: Do you work out? 702 00:31:17,040 --> 00:31:20,240 Speaker 4: Please come on you know, you know during the pandemic, 703 00:31:20,320 --> 00:31:23,120 Speaker 4: Peloton I own. We have the Peloton bike and we 704 00:31:23,160 --> 00:31:25,960 Speaker 4: have the Peloton uh walking thing. 705 00:31:25,920 --> 00:31:28,160 Speaker 8: Yes, the treadmill, the treadmill, the walking thing. 706 00:31:28,280 --> 00:31:30,320 Speaker 3: Walking. Now, my girlfriend's all into it. 707 00:31:30,400 --> 00:31:33,480 Speaker 4: She's like ten thousand rides or something crazy like that, 708 00:31:33,560 --> 00:31:35,600 Speaker 4: and they all everybody the Peloton knows. 709 00:31:35,520 --> 00:31:36,080 Speaker 3: Her and everything. 710 00:31:36,120 --> 00:31:39,560 Speaker 4: So but during the during the lockdown, I did do 711 00:31:39,600 --> 00:31:41,479 Speaker 4: it a lot. Yeah, and then I'll start a community. 712 00:31:41,600 --> 00:31:42,160 Speaker 8: What happened? 713 00:31:42,240 --> 00:31:45,440 Speaker 3: I started community? You know, so I walked the Penn station. 714 00:31:45,640 --> 00:31:48,000 Speaker 7: You know, wait, what was that story that second story 715 00:31:48,000 --> 00:31:49,680 Speaker 7: you did about it's harder between a certain age. 716 00:31:49,760 --> 00:31:50,760 Speaker 9: Yes, exactly. 717 00:31:51,080 --> 00:31:54,800 Speaker 3: There there you go. It all ties together, doesn't it? Exactly? 718 00:31:54,840 --> 00:31:54,920 Speaker 8: All? 719 00:31:55,040 --> 00:31:55,360 Speaker 5: At least? 720 00:31:55,920 --> 00:31:58,120 Speaker 8: Thank you very much on the newspaper stuff. 721 00:31:58,120 --> 00:32:03,200 Speaker 2: Here is the Bloomberg's Availlance podcast, available on Apple, Spotify, 722 00:32:03,360 --> 00:32:07,000 Speaker 2: and anywhere else you get your podcasts. Listen live each 723 00:32:07,040 --> 00:32:10,560 Speaker 2: weekday seven to ten am Eastern on Bloomberg dot com, 724 00:32:10,600 --> 00:32:14,200 Speaker 2: the iHeartRadio app, tune In, and the Bloomberg Business app. 725 00:32:14,480 --> 00:32:17,520 Speaker 2: You can also watch us live every weekday on YouTube 726 00:32:17,800 --> 00:32:19,600 Speaker 2: and always on the Bloomberg terminal