1 00:00:02,640 --> 00:00:05,360 Speaker 1: Welcome to the Bloomberg Penl podcast on Paul Swing You. 2 00:00:05,360 --> 00:00:07,680 Speaker 1: Along with my co host Lisa Brahma Wicks, each day 3 00:00:07,720 --> 00:00:10,240 Speaker 1: we bring you the most noteworthy and useful interviews for 4 00:00:10,320 --> 00:00:12,520 Speaker 1: you and your money, whether at the grocery store or 5 00:00:12,560 --> 00:00:15,480 Speaker 1: the trading floor. Find a Bloomberg Penl podcast on Apple 6 00:00:15,520 --> 00:00:17,959 Speaker 1: podcast or wherever you listen to podcasts, as well as 7 00:00:17,960 --> 00:00:21,880 Speaker 1: at Bloomberg dot com. The pandemic that is sweeping the 8 00:00:21,920 --> 00:00:25,079 Speaker 1: world has raised questions about about a lot of industries, 9 00:00:25,079 --> 00:00:29,080 Speaker 1: but in particular the insurance industry, as a growing number 10 00:00:29,120 --> 00:00:34,440 Speaker 1: of businesses seek for some compensation and one insurance CEO 11 00:00:34,800 --> 00:00:37,840 Speaker 1: saying that this is going to be the worst situation 12 00:00:37,880 --> 00:00:41,720 Speaker 1: for insurers UH in recent history. Joining us now, we 13 00:00:41,760 --> 00:00:43,800 Speaker 1: are so pleased to say Ted Math as Chairman and 14 00:00:43,880 --> 00:00:47,000 Speaker 1: chief executive Officer of New York Life based in New 15 00:00:47,120 --> 00:00:50,519 Speaker 1: York City, Ted, thank you so much for being with us. 16 00:00:50,640 --> 00:00:52,840 Speaker 1: I was talking about Lloyd's of London and the chief 17 00:00:52,840 --> 00:00:55,920 Speaker 1: executive officer coming out and saying that the insurance industry 18 00:00:56,000 --> 00:00:58,960 Speaker 1: could face losses that are the worst in recent memory, 19 00:00:59,000 --> 00:01:01,520 Speaker 1: worse than nine eleven two thousand and one, and worse 20 00:01:01,560 --> 00:01:04,840 Speaker 1: than the Katrina hurricane in the United States. Do you 21 00:01:04,840 --> 00:01:08,760 Speaker 1: agree with that assessment? Uh? Good morningly. So what I 22 00:01:09,000 --> 00:01:10,720 Speaker 1: what I would say is this is that there's no 23 00:01:10,840 --> 00:01:14,480 Speaker 1: question that for all different kinds of insurers, New York 24 00:01:14,480 --> 00:01:17,360 Speaker 1: Life is a life insurer. This presents some unique challenges 25 00:01:17,440 --> 00:01:20,720 Speaker 1: in many ways. For life insurers. It's a bit of 26 00:01:20,360 --> 00:01:24,080 Speaker 1: a triple challenge. You have the fact that UM the 27 00:01:24,319 --> 00:01:27,880 Speaker 1: prospect of substantial mortality claims as a result of the pandemic. 28 00:01:28,520 --> 00:01:33,200 Speaker 1: You have the significant market dislocations that are occurring UM 29 00:01:33,280 --> 00:01:37,280 Speaker 1: and life insurers are very large long term investors. And 30 00:01:37,319 --> 00:01:40,560 Speaker 1: then you have the impact that all businesses have to 31 00:01:40,560 --> 00:01:44,119 Speaker 1: today to some degree, which is the operational impact on 32 00:01:44,160 --> 00:01:47,680 Speaker 1: how do you navigate a world where for most of us, 33 00:01:47,680 --> 00:01:51,960 Speaker 1: I know New York Life, about of our working population 34 00:01:52,160 --> 00:01:55,240 Speaker 1: was in offices, with four percent working from home before 35 00:01:55,320 --> 00:01:59,200 Speaker 1: this crisis, and today that's completely flipped. So those challenges 36 00:01:59,200 --> 00:02:02,040 Speaker 1: are there, But the life insurance industry in particular is 37 00:02:02,080 --> 00:02:05,200 Speaker 1: really built for these kinds of situations to be able 38 00:02:05,200 --> 00:02:09,839 Speaker 1: to provide security for people in these highly uncertain times. 39 00:02:09,880 --> 00:02:12,360 Speaker 1: So ted what would be characterize would be the biggest 40 00:02:12,480 --> 00:02:14,720 Speaker 1: risk to your business model, maybe the business model of 41 00:02:14,720 --> 00:02:17,640 Speaker 1: life insurance in general as we go through this just 42 00:02:17,680 --> 00:02:22,160 Speaker 1: extraordinary time. UH. This the life insurance business is a 43 00:02:22,320 --> 00:02:27,680 Speaker 1: highly relationship oriented personal business. We work with people on 44 00:02:28,120 --> 00:02:32,200 Speaker 1: protecting what matters most to them and in a sense 45 00:02:32,400 --> 00:02:37,040 Speaker 1: that has been built over decades by people building individual 46 00:02:37,080 --> 00:02:40,040 Speaker 1: relationships and what we've often described as a face to 47 00:02:40,120 --> 00:02:47,280 Speaker 1: face environment. Today we all have to, essentially, UM, occupy 48 00:02:47,040 --> 00:02:51,160 Speaker 1: a world we didn't anticipate, where social distancing makes face 49 00:02:51,200 --> 00:02:54,959 Speaker 1: to face interaction extremely limited. UM. What we are having 50 00:02:55,000 --> 00:02:57,240 Speaker 1: to do is navigate how to take the depth of 51 00:02:57,240 --> 00:03:00,640 Speaker 1: the relationships we've built over the years and translate them 52 00:03:00,639 --> 00:03:04,000 Speaker 1: into this virtual environment all of us as we are here, 53 00:03:04,040 --> 00:03:07,200 Speaker 1: I'm talking to you today from my basement on a 54 00:03:07,240 --> 00:03:11,520 Speaker 1: phone as opposed to sitting with you inside of the studio. UM. 55 00:03:11,600 --> 00:03:14,760 Speaker 1: That is something that I am highly confident we can navigate. 56 00:03:14,800 --> 00:03:17,120 Speaker 1: But in many ways, UM, that is one of the 57 00:03:17,120 --> 00:03:22,280 Speaker 1: bigger challenges today. UM. But leveraging the human relationships, Yeah, 58 00:03:22,400 --> 00:03:25,919 Speaker 1: Ted Uh. New York Life Insurance Company is the largest 59 00:03:26,200 --> 00:03:28,440 Speaker 1: life insurance company in the United States, one of the 60 00:03:28,480 --> 00:03:31,160 Speaker 1: large largest life insurers in the world, and it's also 61 00:03:31,280 --> 00:03:35,120 Speaker 1: a very big investor. And I'm wondering as an investor 62 00:03:35,160 --> 00:03:37,960 Speaker 1: in a lot of assets. How much do you think 63 00:03:38,000 --> 00:03:42,200 Speaker 1: this pandemic will change the focus more to companies doing 64 00:03:42,280 --> 00:03:45,560 Speaker 1: the right thing rather than just doing the right thing 65 00:03:45,680 --> 00:03:49,920 Speaker 1: for their balance sheets. I think that's an excellent question. 66 00:03:49,960 --> 00:03:51,560 Speaker 1: What I would say is, this is what I'm I'm 67 00:03:51,600 --> 00:03:54,040 Speaker 1: proud about is the fact that New York Life actually 68 00:03:54,440 --> 00:03:57,080 Speaker 1: is the largest mutual life insurance company. This is our 69 00:03:57,240 --> 00:03:59,760 Speaker 1: We actually entered this year our hundred and seventy five 70 00:04:00,080 --> 00:04:02,800 Speaker 1: year And I think that this is a time in 71 00:04:02,840 --> 00:04:06,600 Speaker 1: a calling for all companies um to really dig deep 72 00:04:06,640 --> 00:04:09,320 Speaker 1: and ask what is the essence of their mission? What 73 00:04:09,440 --> 00:04:11,680 Speaker 1: is it? How do they define themselves? And it has 74 00:04:11,720 --> 00:04:13,600 Speaker 1: to be more than your bottom line and more than 75 00:04:13,640 --> 00:04:16,400 Speaker 1: your balance sheet. So in New York Life, we knew 76 00:04:16,400 --> 00:04:19,760 Speaker 1: that we nobody could predict this kind of pandemic occurring, 77 00:04:19,800 --> 00:04:22,240 Speaker 1: but we knew that they did occur. We have the 78 00:04:22,279 --> 00:04:25,640 Speaker 1: history to know. We've been through yellow fever epidemics, other 79 00:04:26,040 --> 00:04:29,040 Speaker 1: war wars, financial crises, the two thousand and eight two 80 00:04:29,080 --> 00:04:32,920 Speaker 1: thousand nine financial crisis, and throughout all of those, what 81 00:04:32,960 --> 00:04:34,760 Speaker 1: we've been able to do is make sure that we 82 00:04:34,800 --> 00:04:37,520 Speaker 1: can live up to the promises we make. And that's 83 00:04:37,600 --> 00:04:41,239 Speaker 1: because of the inherent value proposition that's embedded with within 84 00:04:41,279 --> 00:04:43,640 Speaker 1: the company. So we were able to come out and 85 00:04:43,680 --> 00:04:45,839 Speaker 1: say to all of our employees that we're not going 86 00:04:45,880 --> 00:04:49,800 Speaker 1: to have any layoffs. That creates unbelievable certainty in a 87 00:04:49,839 --> 00:04:53,200 Speaker 1: world of great uncertainty. For the twelve thousand men and 88 00:04:53,240 --> 00:04:55,840 Speaker 1: women that represent us as agents out there, we were 89 00:04:55,880 --> 00:04:58,240 Speaker 1: able to say to them that we can provide an 90 00:04:58,240 --> 00:05:01,239 Speaker 1: economic floor to them and help them navigate this world 91 00:05:01,800 --> 00:05:06,280 Speaker 1: of unprecedented you know, social distancing, um and and and essentially, 92 00:05:06,400 --> 00:05:09,720 Speaker 1: because we have made decisions with a long term orientation, 93 00:05:10,120 --> 00:05:13,839 Speaker 1: we don't have to make changes to our overall asset 94 00:05:13,960 --> 00:05:18,200 Speaker 1: portfolio that backs up those guarantees. And fundamentally, even for 95 00:05:18,240 --> 00:05:20,520 Speaker 1: our policy owners, many of whom are worried about they've 96 00:05:20,520 --> 00:05:22,960 Speaker 1: lost their job or they're worried about losing their job, 97 00:05:23,360 --> 00:05:26,279 Speaker 1: it's an opportunity for them to be able even too, 98 00:05:26,360 --> 00:05:29,280 Speaker 1: if they have to not make certain premium payments, We've 99 00:05:29,320 --> 00:05:33,000 Speaker 1: given them the flexibility to defer those payments as we 100 00:05:33,080 --> 00:05:36,080 Speaker 1: try to figure out where we can find some stability 101 00:05:36,120 --> 00:05:39,480 Speaker 1: through this crisis. So I think that calling on that 102 00:05:39,600 --> 00:05:43,599 Speaker 1: value proposition and being able to recognize that this is 103 00:05:43,760 --> 00:05:46,800 Speaker 1: at its foremost a human tragedy, and it's an opportune 104 00:05:46,839 --> 00:05:51,200 Speaker 1: time for institutions to lean into their empathy and lean 105 00:05:51,279 --> 00:05:54,120 Speaker 1: into their humanity. And that's one of the reasons why 106 00:05:54,839 --> 00:05:59,240 Speaker 1: we have essentially now with partnered with Signa to launch 107 00:05:59,400 --> 00:06:01,640 Speaker 1: the Brave of Art Fund to help the families of 108 00:06:01,680 --> 00:06:04,839 Speaker 1: healthcare workers. That's interesting I was looking at that the 109 00:06:04,839 --> 00:06:07,200 Speaker 1: Brave of Heart Fund partnering with Seeing the Fun will 110 00:06:07,200 --> 00:06:10,240 Speaker 1: provide financial and emotional support for the foundlis of healthcare 111 00:06:10,279 --> 00:06:15,240 Speaker 1: workers and volunteers UH nationwide. That's a wonderful offering. Ted 112 00:06:15,320 --> 00:06:17,360 Speaker 1: math has thanks so much for joining us Tennis Chairman 113 00:06:17,680 --> 00:06:22,880 Speaker 1: and CEO of New York Life. This is Bloomberg Markets 114 00:06:22,920 --> 00:06:27,640 Speaker 1: with Lisa Ramo, Weds and Paul's Wheeney on Bloomberg Radio. Well. 115 00:06:27,680 --> 00:06:32,160 Speaker 1: As the curve of new virus patients begins to bend, 116 00:06:32,760 --> 00:06:37,239 Speaker 1: everybody's looking towards treatments, potentially vaccines, and they're looking towards 117 00:06:37,320 --> 00:06:40,760 Speaker 1: big farmer. They're looking towards the biotech companies to deliver. 118 00:06:41,320 --> 00:06:43,080 Speaker 1: To get a sense of kind of where we are 119 00:06:43,279 --> 00:06:45,640 Speaker 1: on that path, we welcome our good friend Sam Fazelli. 120 00:06:45,680 --> 00:06:48,080 Speaker 1: He's a director of research for Bloomberg Intelligence in Europe. 121 00:06:48,120 --> 00:06:50,920 Speaker 1: But More importantly, his day job is he's a senior 122 00:06:50,960 --> 00:06:54,760 Speaker 1: healthcare ANALYSTI has been found the farmer industry for decades. Sam, 123 00:06:54,800 --> 00:06:57,960 Speaker 1: thanks so much for joining us. Uh, we appreciate it. 124 00:06:58,320 --> 00:07:01,520 Speaker 1: Gill Lead had some odd news yesterday. I know you're 125 00:07:01,520 --> 00:07:04,279 Speaker 1: on top of that. As you know, again, investors continue 126 00:07:04,279 --> 00:07:07,839 Speaker 1: to look for these healthcare companies to deliver at vaccines. 127 00:07:07,839 --> 00:07:12,080 Speaker 1: What happened to Gilead yesterday? He Paul many nice still 128 00:07:12,120 --> 00:07:14,960 Speaker 1: to my old friend Paul, Thank you for having me on. Well, 129 00:07:15,240 --> 00:07:19,960 Speaker 1: basically what happened was there was a leaked um a 130 00:07:20,240 --> 00:07:24,080 Speaker 1: bit of data on a w h O website that 131 00:07:25,240 --> 00:07:29,200 Speaker 1: perhaps wasn't even complete in terms of its analysis, and 132 00:07:29,920 --> 00:07:32,000 Speaker 1: some people saw that if he was the Financial Times, 133 00:07:32,720 --> 00:07:35,400 Speaker 1: and they then the whole world knew about it thanks 134 00:07:35,440 --> 00:07:38,680 Speaker 1: to social media. What basically is going on here is 135 00:07:38,720 --> 00:07:42,120 Speaker 1: that that's a trial that was out of China and 136 00:07:42,600 --> 00:07:46,960 Speaker 1: worked in pretty severe patients and showed no evidence of 137 00:07:47,000 --> 00:07:50,520 Speaker 1: activity based on what I have heard, I've not seen 138 00:07:50,560 --> 00:07:55,160 Speaker 1: the actual paper myself. So the reality there is that 139 00:07:55,240 --> 00:07:59,800 Speaker 1: these are clinical trials, many of them. This is just one. 140 00:08:00,040 --> 00:08:02,680 Speaker 1: It's a small one out of a large number of 141 00:08:02,680 --> 00:08:05,600 Speaker 1: trials that are going on. So very difficult to just 142 00:08:05,680 --> 00:08:09,080 Speaker 1: read something out of one trial that fails. Sam very 143 00:08:09,080 --> 00:08:12,880 Speaker 1: good point the idea that this trial may or may 144 00:08:12,920 --> 00:08:16,760 Speaker 1: not be valuable to determine whether or not Ramdzevier actually 145 00:08:16,960 --> 00:08:20,080 Speaker 1: is effective. However, what it did highlight was how much 146 00:08:20,160 --> 00:08:23,360 Speaker 1: the market has a baked in assumption that there will 147 00:08:23,400 --> 00:08:26,320 Speaker 1: be some sort of remedies or remedies in the near 148 00:08:26,400 --> 00:08:28,760 Speaker 1: future that will at least mitigate the death rate. We 149 00:08:28,840 --> 00:08:33,000 Speaker 1: saw the entire market fall yesterday after this study came 150 00:08:33,040 --> 00:08:37,720 Speaker 1: out or was published. However, problematic it was, how faulty 151 00:08:37,800 --> 00:08:40,800 Speaker 1: do you think those assumptions are based on the pipeline 152 00:08:40,800 --> 00:08:45,960 Speaker 1: of drugs and vaccines that you currently are studying. Yeah, well, look, 153 00:08:46,000 --> 00:08:48,880 Speaker 1: I mean we were. We were in hope. I mean 154 00:08:48,920 --> 00:08:51,760 Speaker 1: that's what humans live on intentionally, right. But at the 155 00:08:51,840 --> 00:08:53,600 Speaker 1: end of the day, I thought you said we all 156 00:08:53,640 --> 00:08:55,560 Speaker 1: need help, and I was like, yeah, that's too But Carriya, 157 00:08:56,880 --> 00:09:00,000 Speaker 1: so nothing, everyone's hopeful, everyone's hoping, and the following industry 158 00:09:00,520 --> 00:09:04,240 Speaker 1: is trying its best to throw everything they've got by 159 00:09:04,280 --> 00:09:07,720 Speaker 1: letting their cupboards, which is what basically some farm farmer 160 00:09:07,760 --> 00:09:10,680 Speaker 1: companies have done, and also what they've got on the market. 161 00:09:10,800 --> 00:09:13,440 Speaker 1: So but at the end of the day, we're trying 162 00:09:13,520 --> 00:09:16,440 Speaker 1: to solve a disease that we've only really known about 163 00:09:16,559 --> 00:09:20,559 Speaker 1: for six months. I mean, we've learn about cancer for decades, 164 00:09:21,400 --> 00:09:25,000 Speaker 1: and sometimes it takes time to a decade to find 165 00:09:25,000 --> 00:09:28,240 Speaker 1: the treatment for a cancer therapy. So infectually disease a 166 00:09:28,240 --> 00:09:30,960 Speaker 1: little bit easier because the target is easy to test 167 00:09:31,480 --> 00:09:34,160 Speaker 1: in a test you but but you still have to 168 00:09:34,200 --> 00:09:38,040 Speaker 1: get the trials done. And I really do worry about 169 00:09:38,760 --> 00:09:41,880 Speaker 1: um people getting too hopeful on some of this, and 170 00:09:42,160 --> 00:09:45,280 Speaker 1: and really really think that that I should just everyone 171 00:09:45,320 --> 00:09:47,720 Speaker 1: should just step back and let the science roll out 172 00:09:47,840 --> 00:09:51,960 Speaker 1: and then and then we judges as these therapies report. So, Sam, 173 00:09:52,000 --> 00:09:53,800 Speaker 1: I know you spend a lot of time talking to 174 00:09:54,040 --> 00:09:56,320 Speaker 1: the companies that you cover in the farming industry, you're 175 00:09:56,720 --> 00:09:59,240 Speaker 1: the biotech in industry as well. You talked a lot 176 00:09:59,320 --> 00:10:01,040 Speaker 1: of smart investor sers who are m d s and 177 00:10:01,080 --> 00:10:05,559 Speaker 1: PhDs like yourself. Um, is it, what's the feeling that 178 00:10:05,800 --> 00:10:07,800 Speaker 1: the timetable, because what we've heard out of the White House, 179 00:10:08,200 --> 00:10:11,880 Speaker 1: UH and from others is that twelve to eighteen months 180 00:10:11,960 --> 00:10:15,600 Speaker 1: for a vaccine, And what's the feeling within you know, 181 00:10:15,720 --> 00:10:19,280 Speaker 1: your community as to the accuracy or potential accuracy of 182 00:10:19,320 --> 00:10:24,160 Speaker 1: that time frame. So I think it's possible, as I've 183 00:10:24,160 --> 00:10:27,920 Speaker 1: said before, if all the stars aligned, and unfortunately though 184 00:10:27,960 --> 00:10:31,640 Speaker 1: we know that in clinical development the star don't always 185 00:10:31,720 --> 00:10:35,240 Speaker 1: all align. But it don't depends what you want out 186 00:10:35,240 --> 00:10:38,720 Speaker 1: of a vaccine. UM. If you want a vaccine that's 187 00:10:38,720 --> 00:10:41,760 Speaker 1: not been fully tested yet, but you know in juices 188 00:10:41,800 --> 00:10:44,760 Speaker 1: in a moment a response that might be sufficient to protect, 189 00:10:45,000 --> 00:10:49,400 Speaker 1: you could always go and create a room of vaccinated 190 00:10:49,440 --> 00:10:52,800 Speaker 1: people within the health care community that you want to 191 00:10:52,800 --> 00:10:57,680 Speaker 1: protect first. Those are the sorts of US strategies that 192 00:10:57,679 --> 00:11:01,240 Speaker 1: that that epidemiologists and governments can use. But if you 193 00:11:01,360 --> 00:11:04,720 Speaker 1: really want a vaccine that you are as sure as 194 00:11:04,760 --> 00:11:08,359 Speaker 1: you can be is safe giving it to healthy individuals 195 00:11:08,400 --> 00:11:12,000 Speaker 1: like you and I, UM, then you just have to 196 00:11:12,040 --> 00:11:14,160 Speaker 1: spend the time to test it and test it in 197 00:11:14,240 --> 00:11:16,320 Speaker 1: large numbers, and that will take more than two up 198 00:11:16,360 --> 00:11:18,800 Speaker 1: t eighteen months. We just had some office you on 199 00:11:19,040 --> 00:11:22,000 Speaker 1: talking about UM. One of the things that nobody seems 200 00:11:22,000 --> 00:11:24,160 Speaker 1: to want to talk about is the volume that these 201 00:11:24,240 --> 00:11:28,200 Speaker 1: vaccines require. If you really hit it right, that's a 202 00:11:28,320 --> 00:11:32,160 Speaker 1: very big challenge. UM. So you know, and they're working 203 00:11:32,160 --> 00:11:36,000 Speaker 1: on it right. Well. When you talk about the volume needed. 204 00:11:36,160 --> 00:11:39,520 Speaker 1: I also wonder the international effort and how much cooperation 205 00:11:39,559 --> 00:11:43,400 Speaker 1: there has been. Is there an international effort to get 206 00:11:43,440 --> 00:11:47,040 Speaker 1: a high volume of vaccines to the public to the 207 00:11:47,120 --> 00:11:50,440 Speaker 1: masses as quickly as possible with nations working together, or 208 00:11:50,480 --> 00:11:53,280 Speaker 1: is it a really case by case kind of situation. 209 00:11:54,600 --> 00:11:57,760 Speaker 1: I think I haven't seen any dance of nation nations 210 00:11:57,800 --> 00:12:00,960 Speaker 1: working together. I've certainly seen evidence have come he's working together, 211 00:12:01,040 --> 00:12:03,480 Speaker 1: so A that's for example, I made this SNOPHI and 212 00:12:03,520 --> 00:12:06,640 Speaker 1: Galaxis MTh Klein in Europe, and we just heard today 213 00:12:06,720 --> 00:12:09,960 Speaker 1: that Johnson and Johnson has teamed up with Emergent Power 214 00:12:10,040 --> 00:12:14,920 Speaker 1: Solutions for access to manufacturing and that they need to 215 00:12:14,960 --> 00:12:17,600 Speaker 1: do that because I continue, when the vaccine works well, 216 00:12:17,720 --> 00:12:20,000 Speaker 1: as we have seen in the case of Merak with 217 00:12:20,120 --> 00:12:23,480 Speaker 1: Goddess Hill and Gleaxus ms Klein in Shoe Drinks, we 218 00:12:23,720 --> 00:12:27,560 Speaker 1: quickly hit capacity issues. Both companies are working for the 219 00:12:27,640 --> 00:12:31,240 Speaker 1: next four years to increase capacity for those vaccines. So 220 00:12:31,720 --> 00:12:33,560 Speaker 1: God help us. If what I was actually is when 221 00:12:33,559 --> 00:12:36,040 Speaker 1: he works right, everyone's going to scramble together. That would 222 00:12:36,040 --> 00:12:39,800 Speaker 1: be interested to see how the nation's behave. Sam Facelli, 223 00:12:39,840 --> 00:12:41,679 Speaker 1: thank you so much for being with A. Sam Facelli, 224 00:12:41,720 --> 00:12:45,000 Speaker 1: director of Research for the e m E A region 225 00:12:45,080 --> 00:12:48,840 Speaker 1: for Bloomberg Intelligence, also a very long time analyst of 226 00:12:48,920 --> 00:12:51,840 Speaker 1: the pharmaceutical and healthcare industries. And now we'll just say 227 00:12:51,880 --> 00:12:55,360 Speaker 1: Paul I was reading an essay by Joseph Stiglitz of 228 00:12:55,440 --> 00:12:59,360 Speaker 1: Columbia yesterday which was talking about the need for more 229 00:12:59,440 --> 00:13:02,479 Speaker 1: coordinate shan in coming up with some of these vaccines 230 00:13:02,480 --> 00:13:05,199 Speaker 1: is sort of the elimination of the current I P framework. 231 00:13:05,520 --> 00:13:13,640 Speaker 1: Interesting idea. What an historic week for oil in terms 232 00:13:13,679 --> 00:13:16,120 Speaker 1: of volatility. We had the May contract earlier this week 233 00:13:16,160 --> 00:13:20,560 Speaker 1: actually trading in negative territory for the first time. Supply 234 00:13:20,760 --> 00:13:25,040 Speaker 1: demand dynamics are incredibly challenging right now. To get an update, 235 00:13:25,280 --> 00:13:28,280 Speaker 1: we welcome Dr Ariel Cohen, Senior Fellow at the Atlantic Council, 236 00:13:28,320 --> 00:13:32,320 Speaker 1: also a founding principle of International Market Analysis based in Washington, 237 00:13:32,440 --> 00:13:34,280 Speaker 1: d C. Dr Cohen, thanks so much for joining us. 238 00:13:34,600 --> 00:13:37,959 Speaker 1: Help us put into context kind of what we experience 239 00:13:38,160 --> 00:13:41,640 Speaker 1: this week when're looking at w T I crude. First 240 00:13:41,640 --> 00:13:45,719 Speaker 1: of all, we should not focus on this one May 241 00:13:45,840 --> 00:13:50,280 Speaker 1: UH futures contract that went into the negative territory. This 242 00:13:50,400 --> 00:13:55,280 Speaker 1: was a unique situation where we ran out of storage capacity. 243 00:13:55,679 --> 00:13:59,040 Speaker 1: We see W t I back into seventeen range. We 244 00:13:59,160 --> 00:14:02,880 Speaker 1: see Brandon twenty one range. Uh. It is a huge 245 00:14:03,040 --> 00:14:08,360 Speaker 1: blow for the American shale oil patch. But once the 246 00:14:08,400 --> 00:14:13,439 Speaker 1: economy starts recovering. I went over the future futures projection. 247 00:14:14,000 --> 00:14:19,320 Speaker 1: We are going to the thirties towards two. So it's 248 00:14:19,400 --> 00:14:22,880 Speaker 1: it's little little health for for the oil for the 249 00:14:22,920 --> 00:14:28,120 Speaker 1: oil fields right now. But as the economy will go 250 00:14:28,160 --> 00:14:32,720 Speaker 1: into recovery territory, hopefully by the full uh, you'll see 251 00:14:32,800 --> 00:14:36,600 Speaker 1: oil going into the high twenties, thirties, et cetera. Wait, wait, 252 00:14:36,640 --> 00:14:38,680 Speaker 1: hold on a second. So you said they'll be in 253 00:14:38,680 --> 00:14:43,200 Speaker 1: the thirties in two. Are you expecting oil prices to 254 00:14:43,280 --> 00:14:47,960 Speaker 1: remain suppressed for that many years? Well, the question is 255 00:14:48,200 --> 00:14:52,680 Speaker 1: what is suppressed when you have so much oil slushing around. 256 00:14:52,840 --> 00:14:55,680 Speaker 1: You have the US production going up and up. You 257 00:14:55,800 --> 00:15:00,000 Speaker 1: have the Saudias and Russians. You have major oil produced 258 00:15:00,040 --> 00:15:03,960 Speaker 1: series who are not selling nearly as much as we 259 00:15:04,080 --> 00:15:10,240 Speaker 1: could Iran, Venezuela, Libya, et cetera. And you have objective 260 00:15:10,280 --> 00:15:14,640 Speaker 1: structural changes where you have more and more electric cars. Uh. 261 00:15:14,880 --> 00:15:20,600 Speaker 1: You have, um, this is less of immediate impact on oil. 262 00:15:20,640 --> 00:15:25,000 Speaker 1: You have renewable still growing up. That's more affective gas. 263 00:15:25,760 --> 00:15:30,800 Speaker 1: But basically, as long as you don't have robustic and 264 00:15:30,840 --> 00:15:35,840 Speaker 1: on the growth and massive demand coming from places like China, India, 265 00:15:35,880 --> 00:15:40,040 Speaker 1: Africa unless so Europe, you will not go back to 266 00:15:40,120 --> 00:15:45,840 Speaker 1: oil in the seventies or eighties unless some catastrophic, um 267 00:15:46,120 --> 00:15:49,080 Speaker 1: catastrophic things happening in the middle ees. So Ariel. This 268 00:15:49,160 --> 00:15:51,600 Speaker 1: is important because the Kansas City Fed has come out 269 00:15:51,640 --> 00:15:56,080 Speaker 1: with a study showing that of US shell producers would 270 00:15:56,320 --> 00:16:00,440 Speaker 1: become insolvent if oil prices did not rise above thirty 271 00:16:00,440 --> 00:16:02,800 Speaker 1: dollar mark, and this would be by the end of 272 00:16:02,840 --> 00:16:05,480 Speaker 1: this year. I'm just wondering, first of all, whether you 273 00:16:05,520 --> 00:16:08,960 Speaker 1: agree with that assessment, but second of all, what President 274 00:16:09,000 --> 00:16:13,119 Speaker 1: Trump could actually due to support some of these companies 275 00:16:13,680 --> 00:16:16,800 Speaker 1: given the fact that oil prices are unlikely to rise 276 00:16:16,920 --> 00:16:22,560 Speaker 1: meaningfully in the next month or two. Correct, in the 277 00:16:22,600 --> 00:16:25,200 Speaker 1: next month or two, they will probably go into the 278 00:16:25,280 --> 00:16:30,720 Speaker 1: low to mid twenties unless we have a major event 279 00:16:31,760 --> 00:16:38,680 Speaker 1: such as an approval of an effective vaccine, and that 280 00:16:38,800 --> 00:16:43,600 Speaker 1: will indicate that by the fall early one uh, we 281 00:16:43,880 --> 00:16:48,440 Speaker 1: probably have aero buzz growth in the economy. As for 282 00:16:48,520 --> 00:16:54,320 Speaker 1: the shale patch, look uh these um uh, these oil 283 00:16:54,800 --> 00:17:01,760 Speaker 1: patches are economically efficient. UH hends on the field depends 284 00:17:01,880 --> 00:17:07,359 Speaker 1: on the well um it varies. If the smaller producers 285 00:17:07,359 --> 00:17:11,720 Speaker 1: go billy up, the bigger producers have deep enough pockets 286 00:17:12,160 --> 00:17:15,320 Speaker 1: the excess of the BPS to pick them up and 287 00:17:15,440 --> 00:17:19,879 Speaker 1: have this capacity. It doesn't mean they will produce at five, 288 00:17:20,320 --> 00:17:25,199 Speaker 1: but these resources will be available. And to my to 289 00:17:25,359 --> 00:17:30,399 Speaker 1: my my research, thirty and up thirty five and up 290 00:17:31,080 --> 00:17:38,320 Speaker 1: um the oil shale wells, oil shell fields are economically effective. 291 00:17:38,920 --> 00:17:42,920 Speaker 1: So I totally understand and feel the pain of people 292 00:17:42,960 --> 00:17:45,679 Speaker 1: who lose their jobs and lose their businesses. On the 293 00:17:45,720 --> 00:17:51,800 Speaker 1: other him, remember creative destruction in the market economy, UH 294 00:17:52,240 --> 00:17:55,560 Speaker 1: has this Darwinian process in which some of these companies 295 00:17:55,560 --> 00:17:59,200 Speaker 1: will be picked up by bigger and more aggressive players. 296 00:18:00,040 --> 00:18:01,399 Speaker 1: So Dr Colemen, I wonder if you could help me 297 00:18:01,440 --> 00:18:04,560 Speaker 1: with the strategy being pursued by the saluities. In terms 298 00:18:04,560 --> 00:18:07,440 Speaker 1: of yesterday in the Russia cut supply by nine point 299 00:18:07,480 --> 00:18:10,000 Speaker 1: seven million barrels. But that doesn't seem to be enough 300 00:18:10,080 --> 00:18:13,680 Speaker 1: given that the demand their destruction we've seen, are they 301 00:18:13,760 --> 00:18:19,040 Speaker 1: just strategically trying to push the US shale operators just 302 00:18:19,080 --> 00:18:20,840 Speaker 1: completely out of business and to get to the U 303 00:18:20,920 --> 00:18:26,040 Speaker 1: s out of the UH oil business. The original idea 304 00:18:26,320 --> 00:18:30,520 Speaker 1: of putting US shell out of the business was Russian. UH. Specifically, 305 00:18:30,600 --> 00:18:34,280 Speaker 1: the the chairman of CEO of the Russian state owned 306 00:18:34,280 --> 00:18:38,639 Speaker 1: beheam of called rosnip uh Ego session. Uh. He was 307 00:18:38,760 --> 00:18:41,520 Speaker 1: running round with this idea for a long time. UH. 308 00:18:41,600 --> 00:18:46,560 Speaker 1: They made their move in March. UH the oil talks 309 00:18:46,600 --> 00:18:50,520 Speaker 1: fell apart. But what you see now the Saluities are 310 00:18:50,600 --> 00:18:54,280 Speaker 1: selling their oil at a great discount in Europe. So 311 00:18:54,520 --> 00:18:58,399 Speaker 1: it is as much a struggle to take the market 312 00:18:58,440 --> 00:19:00,920 Speaker 1: share away from the Russians as it is to put 313 00:19:00,960 --> 00:19:04,640 Speaker 1: our guys in the shell pnch art in business. So 314 00:19:05,040 --> 00:19:08,200 Speaker 1: just quickly, here are all going forward? Do you think 315 00:19:08,240 --> 00:19:11,280 Speaker 1: that Saudi Arabia and Russia are going to cut a 316 00:19:11,359 --> 00:19:15,280 Speaker 1: meaningful additional amount of the oil produced given the fact 317 00:19:15,600 --> 00:19:18,080 Speaker 1: that their current cuts that they've promised that still haven't 318 00:19:18,080 --> 00:19:21,560 Speaker 1: gone into effect are considered insignificant compared to the lack 319 00:19:21,600 --> 00:19:24,720 Speaker 1: of demand that we're seeing. Well, let's take a look 320 00:19:24,720 --> 00:19:28,800 Speaker 1: at supply and demand. Uh. The supply UH was it 321 00:19:28,920 --> 00:19:35,040 Speaker 1: about ninety plus million barrels a day. It's collapsed by 322 00:19:35,080 --> 00:19:42,680 Speaker 1: about uh the of thirty. Uh. They're cutting twins, They're 323 00:19:42,680 --> 00:19:47,360 Speaker 1: talking about cutting twenty uh so the marginal price may 324 00:19:47,440 --> 00:19:49,960 Speaker 1: go up, but we don't see it yet. In the 325 00:19:50,000 --> 00:19:54,480 Speaker 1: future contract. I would say, let's wait till May and 326 00:19:54,680 --> 00:19:59,080 Speaker 1: see how this cuts are being implemented. But it's important 327 00:19:59,119 --> 00:20:02,520 Speaker 1: to remember his story. Really every time I'll pet agreed 328 00:20:02,600 --> 00:20:06,679 Speaker 1: on cut. Everybody cheated. Everybody is selling a tonker, a 329 00:20:06,760 --> 00:20:10,360 Speaker 1: tanker or two or five from the back door, so 330 00:20:10,520 --> 00:20:15,840 Speaker 1: to speak. I cross my desk more offers of selling 331 00:20:15,840 --> 00:20:19,360 Speaker 1: oil and deep discounts over the years that I can. 332 00:20:19,560 --> 00:20:23,320 Speaker 1: You know, I can count on a real code. You 333 00:20:23,400 --> 00:20:26,800 Speaker 1: live an interesting life. I've missed those offers to buy 334 00:20:26,920 --> 00:20:29,480 Speaker 1: cheap tankers of oil. They are not crossing my desk, 335 00:20:29,720 --> 00:20:32,000 Speaker 1: they are crossing yours. Ariel coh and thank you so 336 00:20:32,119 --> 00:20:34,639 Speaker 1: much for being with us. Ariel Co and senior fellow 337 00:20:34,680 --> 00:20:39,280 Speaker 1: at the Atlantic Council, also founding Principle of International Market Analysis, 338 00:20:39,880 --> 00:20:43,640 Speaker 1: joining us from Washington, d C. Paul, you've gotting those. 339 00:20:43,840 --> 00:20:46,680 Speaker 1: I am not occasion. You'll get that email looking too 340 00:20:46,760 --> 00:20:48,760 Speaker 1: if I want to buy some barrels of oil, but 341 00:20:48,800 --> 00:20:52,080 Speaker 1: not recently. Seriously, yeah, you would think that that would 342 00:20:52,119 --> 00:20:55,080 Speaker 1: be getting them all the time, because nobody can sell 343 00:20:55,119 --> 00:20:57,920 Speaker 1: their oil right now. Yeah, although you can't just story 344 00:20:57,920 --> 00:21:00,480 Speaker 1: it in your kid's room. I've looked into it just can't. 345 00:21:00,600 --> 00:21:03,560 Speaker 1: It's it's not particularly safe. I'm sure that, uh, I'm 346 00:21:03,600 --> 00:21:06,320 Speaker 1: sure that a CS would come and and file a complaint. 347 00:21:09,320 --> 00:21:12,240 Speaker 1: One of the more I think ominous developments from this 348 00:21:12,320 --> 00:21:16,399 Speaker 1: coronavirus really taking shape over the last several days has been, uh, 349 00:21:16,440 --> 00:21:20,440 Speaker 1: the security of the food supply chain within the United States, 350 00:21:20,440 --> 00:21:25,400 Speaker 1: particularly on the beef and pork uh. Michael Hurtzer, agricultural 351 00:21:25,440 --> 00:21:29,320 Speaker 1: reporter for Bloomberg, joins US now. He's based in Chicago. So, Michael, 352 00:21:29,320 --> 00:21:31,760 Speaker 1: I've seen about some news command of Bloomberg News about 353 00:21:31,800 --> 00:21:34,320 Speaker 1: a quarter of American pork production, maybe ten percent of 354 00:21:34,359 --> 00:21:37,879 Speaker 1: beef output has now been shuttered and farmers are actually 355 00:21:38,080 --> 00:21:40,680 Speaker 1: slaughtering their own pigs. What's going on here? And how 356 00:21:40,960 --> 00:21:44,840 Speaker 1: bad is could this get? I guess we don't know 357 00:21:44,880 --> 00:21:47,040 Speaker 1: how bad it's going to get yet. Um. Some of 358 00:21:47,080 --> 00:21:50,400 Speaker 1: these plants that have closed, there's been eight major kind 359 00:21:50,440 --> 00:21:53,280 Speaker 1: of pork and beef plants have closed across kind of 360 00:21:53,280 --> 00:21:57,520 Speaker 1: the central US, and one of the plants in in Greeley, 361 00:21:57,600 --> 00:22:01,320 Speaker 1: Colorado is actually restarting. So I guess it will depend 362 00:22:01,359 --> 00:22:04,560 Speaker 1: on just how quickly the workers can get better and 363 00:22:04,560 --> 00:22:07,359 Speaker 1: then the plants can resume operations and then they can 364 00:22:07,400 --> 00:22:12,000 Speaker 1: start to wrap their their arms around the sick employees. So, 365 00:22:12,080 --> 00:22:14,640 Speaker 1: just to sort of put this into perspective, what's been 366 00:22:14,640 --> 00:22:18,119 Speaker 1: going on is that farmers usually rely on meat processing 367 00:22:18,160 --> 00:22:21,200 Speaker 1: plants to slaughter and process the meat and then distributed 368 00:22:21,359 --> 00:22:26,800 Speaker 1: that to restaurants and to big box grocery stores. What's 369 00:22:26,840 --> 00:22:29,880 Speaker 1: happened is Tyson in a number of other plants, there 370 00:22:29,880 --> 00:22:32,399 Speaker 1: have been illnesses that have forced the plants to shut 371 00:22:32,440 --> 00:22:35,520 Speaker 1: down correct and as a result, there hasn't been the 372 00:22:35,560 --> 00:22:40,760 Speaker 1: slaughtering and processing capabilities. So farmers are just facing an 373 00:22:40,800 --> 00:22:44,800 Speaker 1: overpopulation of their animals and slaughtering them themselves. Do we 374 00:22:44,920 --> 00:22:47,680 Speaker 1: have a sense of how common that is for farmers 375 00:22:47,760 --> 00:22:51,920 Speaker 1: to be doing that? Usually, you know, if there's there's 376 00:22:51,920 --> 00:22:55,040 Speaker 1: a sick animal that will get cold, but actually at 377 00:22:55,080 --> 00:22:58,359 Speaker 1: the call either market ready animals that are kind of 378 00:22:58,400 --> 00:23:01,760 Speaker 1: at the desired wait for the accessing or to to 379 00:23:02,280 --> 00:23:05,399 Speaker 1: kill out the younger animals. It's it's quite rare, and 380 00:23:05,480 --> 00:23:09,200 Speaker 1: it hasn't happened, you know, at any scale for years. Um, 381 00:23:09,240 --> 00:23:14,440 Speaker 1: we're kind of being told that this is still relatively isolated. Um, 382 00:23:14,480 --> 00:23:18,120 Speaker 1: but it could get worse if if the situation at 383 00:23:18,119 --> 00:23:20,840 Speaker 1: the plant doesn't improve. And part of the problem is 384 00:23:20,840 --> 00:23:23,720 Speaker 1: is that just like the grocery stores, the meat plants, 385 00:23:23,760 --> 00:23:27,159 Speaker 1: they kind of need a ready supply of animals moving 386 00:23:27,200 --> 00:23:30,880 Speaker 1: through there pretty quickly. And the animals, you know, they're 387 00:23:30,880 --> 00:23:33,159 Speaker 1: they're moving out of the barns and then there's another, 388 00:23:33,560 --> 00:23:35,919 Speaker 1: you know, group of animals coming into the barn and 389 00:23:36,240 --> 00:23:38,359 Speaker 1: into the processing plant. So it's kind of a just 390 00:23:38,600 --> 00:23:42,320 Speaker 1: in time inventory and and that's really what's kind of 391 00:23:42,440 --> 00:23:46,479 Speaker 1: under pressure right now. So, Michael, are we seeing higher 392 00:23:46,640 --> 00:23:51,040 Speaker 1: beef end pork prices at the supermarket now? If not, now, 393 00:23:51,280 --> 00:23:54,480 Speaker 1: is that something we should be planning on. If you're 394 00:23:54,480 --> 00:23:56,639 Speaker 1: reading your sale papers, which kind of are, you know, 395 00:23:56,720 --> 00:23:58,840 Speaker 1: the papers that come in the mail are dropped on 396 00:23:58,920 --> 00:24:02,480 Speaker 1: your doorstep, you can still probably see some sales for 397 00:24:02,680 --> 00:24:06,320 Speaker 1: some meat items, uh, you know, supplies going into the 398 00:24:06,359 --> 00:24:10,679 Speaker 1: pandemic were we're nearly a record and um, so the 399 00:24:10,720 --> 00:24:14,600 Speaker 1: retail level probably hasn't seen quite the pressure yet outside 400 00:24:14,640 --> 00:24:19,040 Speaker 1: of maybe some some gouging that that people may be experiencing. 401 00:24:19,080 --> 00:24:22,320 Speaker 1: But the market, the wholesale markets, which we have a 402 00:24:22,760 --> 00:24:25,040 Speaker 1: gouge every day from from the U. S. D A 403 00:24:25,440 --> 00:24:28,480 Speaker 1: has been surging for both pork and beef, and those 404 00:24:28,520 --> 00:24:32,720 Speaker 1: prices will will eventually transfer down to the consumer. Michael, 405 00:24:32,760 --> 00:24:35,359 Speaker 1: do we have a sense of the proportion of meat 406 00:24:35,400 --> 00:24:38,840 Speaker 1: processing plants that have had to close as a result 407 00:24:38,880 --> 00:24:42,800 Speaker 1: of worker illness. We had one of the major kind 408 00:24:42,800 --> 00:24:47,119 Speaker 1: of unions estimating that for pork it was about um. 409 00:24:47,119 --> 00:24:51,480 Speaker 1: We're hearing, you know, might be fifteen and again on 410 00:24:51,640 --> 00:24:56,600 Speaker 1: the beef about um so far, and some plants have 411 00:24:56,800 --> 00:25:01,440 Speaker 1: started to get closer to resuming operation. And although there 412 00:25:01,440 --> 00:25:05,760 Speaker 1: have you know, Tyson shut down two plants on pork 413 00:25:05,880 --> 00:25:09,520 Speaker 1: and one on beef just this week. So, Michael, are 414 00:25:09,720 --> 00:25:13,159 Speaker 1: processing plants are they geographically dispersed throughout the country or 415 00:25:13,240 --> 00:25:16,360 Speaker 1: they kind of particular geography that may be more at 416 00:25:16,440 --> 00:25:20,800 Speaker 1: risk to the virus. Some of the sticking points have 417 00:25:20,920 --> 00:25:24,440 Speaker 1: been like they'll generally are in more rural areas, but 418 00:25:24,600 --> 00:25:29,240 Speaker 1: the workforce is much of it our immigrants and some 419 00:25:29,359 --> 00:25:33,160 Speaker 1: of those people you know will travel obviously, and we're 420 00:25:33,240 --> 00:25:36,840 Speaker 1: traveling prior to kind of the lockdowns, and so it's 421 00:25:36,880 --> 00:25:39,840 Speaker 1: you know, it's it's just like the world. It's these plants. 422 00:25:40,080 --> 00:25:42,159 Speaker 1: They could be in the middle, middle of nowhere, but 423 00:25:42,520 --> 00:25:45,960 Speaker 1: the workers, you know, travel here and there and and 424 00:25:46,119 --> 00:25:50,359 Speaker 1: uh and then concentrate at the plant or or sometimes 425 00:25:50,400 --> 00:25:53,240 Speaker 1: because they are immigrants or maybe not having the most 426 00:25:53,320 --> 00:25:56,880 Speaker 1: highest paying jobs, they do live in culser quarters than 427 00:25:57,520 --> 00:25:59,920 Speaker 1: then might be ideal for for something like this, pand 428 00:26:00,080 --> 00:26:02,560 Speaker 1: make Michael Hurts her thank you so much for being 429 00:26:02,600 --> 00:26:06,320 Speaker 1: with us. Michael Hurts, or agricultural reporter for Bloomberg News, 430 00:26:06,359 --> 00:26:08,679 Speaker 1: talking about something that's gotten a lot of attention, the 431 00:26:08,840 --> 00:26:13,320 Speaker 1: possibility of a meat shortage, in particular pork as a 432 00:26:13,400 --> 00:26:16,800 Speaker 1: number of these meat processing plants closed down in the 433 00:26:16,800 --> 00:26:19,280 Speaker 1: wake of the coronavirus, other people saying that we're far 434 00:26:19,320 --> 00:26:22,480 Speaker 1: away away from a meat shortage. Nonetheless, what it highlights 435 00:26:22,480 --> 00:26:26,919 Speaker 1: to me, Paul, is the incredibly complex supply chain, especially 436 00:26:26,960 --> 00:26:30,800 Speaker 1: for something that is just in time type of fulfillment 437 00:26:30,960 --> 00:26:33,240 Speaker 1: such as the meat industry. Yeah, that's that was new 438 00:26:33,240 --> 00:26:34,960 Speaker 1: news to me from Michael, kind of that just in 439 00:26:35,000 --> 00:26:37,160 Speaker 1: time aspect to it, and you know, you just get 440 00:26:37,200 --> 00:26:39,320 Speaker 1: a little bit of a disruption and it flows through 441 00:26:39,359 --> 00:26:44,320 Speaker 1: the system. Thanks for listening to the Bloomberg pan L podcast. 442 00:26:44,480 --> 00:26:47,080 Speaker 1: You can subscribe and listen to interviews at Apple Podcasts 443 00:26:47,160 --> 00:26:50,240 Speaker 1: or whatever. Podcast platform you prefer Paul Sweeney. I'm on 444 00:26:50,280 --> 00:26:52,920 Speaker 1: Twitter at pt Sweeney. I'm Lisa abram Woids. I'm on 445 00:26:52,960 --> 00:26:55,840 Speaker 1: Twitter at Lisa A. Bramwod's one before the podcast. You 446 00:26:55,840 --> 00:27:00,440 Speaker 1: can always catch us worldwide. I'm Bloomberg Radio. It is 447 00:27:00,440 --> 00:27:01,320 Speaker 1: a belated