1 00:00:00,720 --> 00:00:03,720 Speaker 1: This is Bloomberg Business Week. I'm Carol Masser and I'm 2 00:00:03,800 --> 00:00:06,320 Speaker 1: Jason Kelly. We're right here every day bringing you the 3 00:00:06,400 --> 00:00:11,160 Speaker 1: latest news from the world's of business and finance, plus technology, politics, economics, 4 00:00:11,240 --> 00:00:14,280 Speaker 1: all harnessing the power of Business Week reporters and editors. 5 00:00:14,440 --> 00:00:16,439 Speaker 1: And of course Carol that's part of a team of 6 00:00:16,520 --> 00:00:20,439 Speaker 1: twenty seven hundred journalists and analysts more than a hundred 7 00:00:20,480 --> 00:00:23,280 Speaker 1: and twenty countries and Jason. You can download Bloomberg Business 8 00:00:23,280 --> 00:00:26,239 Speaker 1: Week on iTunes, SoundCloud, bl Bloomberg dot com. You can 9 00:00:26,280 --> 00:00:28,640 Speaker 1: also listen to our radio show at two pm Eastern 10 00:00:28,680 --> 00:00:31,560 Speaker 1: on Bloomberg Radio every weekday, or watch us on YouTube 11 00:00:31,600 --> 00:00:37,920 Speaker 1: by searching Bloomberg Global News. We continually, of course, update 12 00:00:37,960 --> 00:00:40,839 Speaker 1: you here on the Bloomberg about what's going on with 13 00:00:40,880 --> 00:00:44,040 Speaker 1: the virus. And I gotta say, yesterday was I feel 14 00:00:44,080 --> 00:00:47,080 Speaker 1: like a turning point once again, as we saw surging 15 00:00:47,120 --> 00:00:49,519 Speaker 1: new cases in a bunch of southern and Western states. 16 00:00:49,520 --> 00:00:53,120 Speaker 1: We had states reopening plans, putting them on hold, hospitalizations 17 00:00:53,159 --> 00:00:55,840 Speaker 1: are up. And then Anthony Faucci, the US government's top 18 00:00:55,840 --> 00:01:00,600 Speaker 1: infectious disease specialist, warning lawmakers that virus cases could top 19 00:01:00,680 --> 00:01:03,680 Speaker 1: and rise to a hundred thousand a day if behaviors 20 00:01:03,720 --> 00:01:08,520 Speaker 1: don't change, I can't make an accurate prediction, but it 21 00:01:08,640 --> 00:01:11,160 Speaker 1: is going to be very disturbing. I will guarantee you that, 22 00:01:12,040 --> 00:01:14,560 Speaker 1: because when you have an outbreak in one part of 23 00:01:14,600 --> 00:01:17,039 Speaker 1: the country, even though in other parts of the country 24 00:01:17,120 --> 00:01:20,560 Speaker 1: they're doing well, they are vulnerable. I made that point 25 00:01:20,680 --> 00:01:24,360 Speaker 1: very clearly last week at a press conference. We can't 26 00:01:24,400 --> 00:01:27,520 Speaker 1: just focus on those areas that are having the surge. 27 00:01:27,560 --> 00:01:31,240 Speaker 1: It puts the entire country at risk. We are now 28 00:01:31,319 --> 00:01:35,560 Speaker 1: having a quality plus thousand new cases a day. I 29 00:01:35,600 --> 00:01:37,880 Speaker 1: would not be surprised if we go up to a 30 00:01:37,959 --> 00:01:41,160 Speaker 1: hundred thousand a day if this does not turn around, 31 00:01:41,480 --> 00:01:44,360 Speaker 1: and so I am very concerned. Yep, that number got 32 00:01:44,360 --> 00:01:46,959 Speaker 1: our attention. That's of course Dr Anthony Fauci talking to 33 00:01:47,080 --> 00:01:49,960 Speaker 1: senators yesterday and hearing held by the Senate Health, Education, 34 00:01:50,040 --> 00:01:54,800 Speaker 1: Labor and Pensions Committee, and Jason Dyer absolutely well, from 35 00:01:54,840 --> 00:01:57,160 Speaker 1: one of the nation stop doctors to our top doctor. 36 00:01:57,280 --> 00:01:59,040 Speaker 1: Dr I and Les bed are back with us, clinical 37 00:01:59,080 --> 00:02:01,880 Speaker 1: Associate Professor of Medicine at n y U s Linga 38 00:02:02,000 --> 00:02:04,160 Speaker 1: Medical Center, joining us once again on the phone from 39 00:02:04,200 --> 00:02:07,120 Speaker 1: New York City. So Ian, when you heard that from 40 00:02:07,240 --> 00:02:11,239 Speaker 1: Dr Fauci. I'm guessing it didn't shock you given how 41 00:02:11,360 --> 00:02:14,040 Speaker 1: on the front lines you've been on this, but it 42 00:02:14,120 --> 00:02:18,280 Speaker 1: has to be disappointing and a little bit scary, especially 43 00:02:18,320 --> 00:02:20,080 Speaker 1: given that you've been on the front lines of this 44 00:02:20,200 --> 00:02:24,080 Speaker 1: and seeing what's happened in New York City. Hi, Carol 45 00:02:24,120 --> 00:02:27,560 Speaker 1: and Jason. Yes, I think most doctors that I speak 46 00:02:27,600 --> 00:02:31,840 Speaker 1: to certainly are very concerned, and hospitals are concerned, as 47 00:02:31,880 --> 00:02:35,440 Speaker 1: they should be um to some degree. You know, I 48 00:02:35,480 --> 00:02:38,840 Speaker 1: think by by not really mandating you know, masks and 49 00:02:38,919 --> 00:02:42,600 Speaker 1: social isolation, really by giving that as an option, which 50 00:02:43,080 --> 00:02:45,600 Speaker 1: you know, with multiple states and in a free country, 51 00:02:45,600 --> 00:02:49,799 Speaker 1: that's certainly one approach. We're really, in a way, uh 52 00:02:49,840 --> 00:02:54,440 Speaker 1: following the Swedish model, which is letting nature take its course, 53 00:02:54,639 --> 00:02:58,600 Speaker 1: and when that happens, there's certainly a significant risk. As 54 00:02:58,680 --> 00:03:01,640 Speaker 1: Dr Fauci says, you know, cases at this point we're 55 00:03:01,680 --> 00:03:04,239 Speaker 1: about forty or fifty thousand a day. We know they're 56 00:03:04,280 --> 00:03:08,480 Speaker 1: really much higher because we're really only picking up about 57 00:03:08,560 --> 00:03:12,560 Speaker 1: one intent or only diagnosing one intent. There are probably 58 00:03:12,600 --> 00:03:16,480 Speaker 1: ten times more people who have UH COVID than than 59 00:03:16,680 --> 00:03:19,320 Speaker 1: are actually being picked up by tests. So we're talking 60 00:03:19,720 --> 00:03:22,920 Speaker 1: hundreds of thousands a day of new cases, and of 61 00:03:22,919 --> 00:03:28,320 Speaker 1: course that translates into potentially um higher surge on hospitals 62 00:03:28,320 --> 00:03:30,560 Speaker 1: and health care facilities. And this is what we're seeing 63 00:03:30,560 --> 00:03:33,800 Speaker 1: across the Sun Belt. Yeah, it's not even it's not 64 00:03:33,840 --> 00:03:37,960 Speaker 1: even just the surge with hospitals, which is a concern, 65 00:03:38,440 --> 00:03:42,840 Speaker 1: but really ultimately a higher death rate and then what 66 00:03:43,000 --> 00:03:46,240 Speaker 1: I like to call post COVID syndrome. Even people who 67 00:03:46,280 --> 00:03:49,560 Speaker 1: get through it often have a lot of other symptoms 68 00:03:49,560 --> 00:03:53,280 Speaker 1: and ongoing healthcare issues. So it's it's quite worrisome. Ian, 69 00:03:53,360 --> 00:03:56,000 Speaker 1: let's talk about that. In anticipation of our conversation, I 70 00:03:56,040 --> 00:03:59,520 Speaker 1: was talking to others about, um, exactly what you're getting 71 00:03:59,560 --> 00:04:01,880 Speaker 1: to know. You were the first one, Jason, and I 72 00:04:01,960 --> 00:04:03,640 Speaker 1: can kind of almost remember the day where you talked 73 00:04:03,640 --> 00:04:07,640 Speaker 1: about the blood clots, you know, throughout the body, and 74 00:04:07,720 --> 00:04:11,160 Speaker 1: this was just not something you see often. Talk to 75 00:04:11,280 --> 00:04:13,960 Speaker 1: us about the implications of that and and the problems 76 00:04:13,960 --> 00:04:16,600 Speaker 1: that seemed to be maybe staying with some patients even 77 00:04:16,640 --> 00:04:21,480 Speaker 1: after they recover. Exactly, so this uh and Dr Faucci 78 00:04:21,520 --> 00:04:23,440 Speaker 1: has said this. He said, this is a virus with 79 00:04:23,600 --> 00:04:28,960 Speaker 1: protein manifestations, meaning multiple ways of manifesting. We typically think 80 00:04:29,040 --> 00:04:33,560 Speaker 1: of viruses perhaps as an ammonia or fever, chills and aches, 81 00:04:33,920 --> 00:04:37,680 Speaker 1: but this virus is unique. We we really can't think 82 00:04:37,680 --> 00:04:43,760 Speaker 1: of something similar where multiple organs are affected, strokes in 83 00:04:43,800 --> 00:04:47,080 Speaker 1: the brain, and kidney disease, liver disease, very high liver 84 00:04:47,160 --> 00:04:51,800 Speaker 1: function test g I disease, nausea, vomiting, diarrhea, and not 85 00:04:51,920 --> 00:04:58,960 Speaker 1: only that, besides um killing people with blood clots and 86 00:04:58,960 --> 00:05:02,360 Speaker 1: and so of the latest data show that the virus 87 00:05:02,400 --> 00:05:05,960 Speaker 1: seems to increase a platelet aggregation or the stickiness of 88 00:05:06,000 --> 00:05:09,840 Speaker 1: platelets and platelets. Normally, you know, we need to to 89 00:05:09,880 --> 00:05:12,360 Speaker 1: cause some clotting when you get an injury or a cut, 90 00:05:12,600 --> 00:05:16,000 Speaker 1: but when there's a massive increase in platelet stickiness, you 91 00:05:16,040 --> 00:05:19,120 Speaker 1: get clots everywhere. And that probably explains a lot of 92 00:05:19,160 --> 00:05:21,919 Speaker 1: the you know, severe consequences that we see as a 93 00:05:21,920 --> 00:05:26,240 Speaker 1: result of these infections. Well, and presumably that ultimately has 94 00:05:26,279 --> 00:05:31,080 Speaker 1: an impact on a hospital and doctor's abilities to treat 95 00:05:31,279 --> 00:05:34,719 Speaker 1: a whole host of things, including new cases. But also 96 00:05:35,200 --> 00:05:38,919 Speaker 1: this long tail, as it were, uh inn of COVID 97 00:05:39,880 --> 00:05:43,359 Speaker 1: exactly right, So we have the you know, the acute 98 00:05:43,720 --> 00:05:48,080 Speaker 1: UH injury or the the acute illness, and we're still 99 00:05:48,120 --> 00:05:52,760 Speaker 1: a bit perplexed why there is a number of patients 100 00:05:52,800 --> 00:05:55,880 Speaker 1: who have mild to to know symptoms and this is 101 00:05:55,960 --> 00:05:59,120 Speaker 1: that large young group of people who are asymptomatic. They 102 00:05:59,120 --> 00:06:03,400 Speaker 1: form a reservoir are they're often feel fine and feel invulnerable. 103 00:06:03,440 --> 00:06:06,880 Speaker 1: They're not wearing masks. They're potentially transferring this to other 104 00:06:07,000 --> 00:06:10,200 Speaker 1: people who are older, which is why you know, universal 105 00:06:10,320 --> 00:06:15,320 Speaker 1: masking is certainly a reasonable request for for all um 106 00:06:15,440 --> 00:06:20,800 Speaker 1: and then uh, insusceptible patients. You get this really cascade 107 00:06:20,800 --> 00:06:23,359 Speaker 1: of effects that make people more short of breath, have 108 00:06:23,440 --> 00:06:28,320 Speaker 1: clots everywhere, and then even if people survive after hospitalization, 109 00:06:28,400 --> 00:06:31,520 Speaker 1: many have a long term not only psychologic effects but 110 00:06:31,560 --> 00:06:37,359 Speaker 1: physical effects. Ian when do you realistically still expect a virus? 111 00:06:37,520 --> 00:06:40,279 Speaker 1: I mean a vaccine mother? So I you know, I 112 00:06:40,320 --> 00:06:42,760 Speaker 1: think this is encouraging news. Fightser is one of the 113 00:06:42,839 --> 00:06:46,919 Speaker 1: number of companies Maderna j and j a Estra Zeneca, 114 00:06:47,200 --> 00:06:49,000 Speaker 1: you know, who are really moving forward. A lot of 115 00:06:49,040 --> 00:06:51,080 Speaker 1: these studies are going to go into phase three with 116 00:06:51,520 --> 00:06:55,640 Speaker 1: wider number of patients. The Fighter study is is fairly small, 117 00:06:55,920 --> 00:06:58,919 Speaker 1: uh you know, forty five patients or so um, but 118 00:06:59,040 --> 00:07:02,359 Speaker 1: it certainly is encouraging. What we don't know is in 119 00:07:02,440 --> 00:07:06,839 Speaker 1: a larger number of patients, how many will develop antibodies 120 00:07:06,880 --> 00:07:10,640 Speaker 1: that are neutralizing, how long those antibodies will last, and 121 00:07:10,680 --> 00:07:14,440 Speaker 1: will the virus mutate. So I think it is encouraging 122 00:07:14,440 --> 00:07:17,160 Speaker 1: that we're making progress. It is a unique a way 123 00:07:17,200 --> 00:07:22,760 Speaker 1: of making UH vaccine with messenger RNA which gets into 124 00:07:23,040 --> 00:07:28,120 Speaker 1: your own cells and uh UH forms these proteins that 125 00:07:28,160 --> 00:07:32,440 Speaker 1: are typical of the coronavirus COVID nineteen, typically the spike protein, 126 00:07:32,480 --> 00:07:35,480 Speaker 1: and then your body forms antibodies to that, so you're 127 00:07:35,520 --> 00:07:39,400 Speaker 1: not subject to the risk of a live virus. And 128 00:07:39,480 --> 00:07:42,240 Speaker 1: we think that this is hopefully a better way. It 129 00:07:42,400 --> 00:07:45,200 Speaker 1: is a relatively new technology, but again there are a 130 00:07:45,280 --> 00:07:49,600 Speaker 1: lot of hurdles before not only is it proven effective, 131 00:07:49,960 --> 00:07:53,720 Speaker 1: but it can be ramped up, manufactured and distributed, and 132 00:07:53,760 --> 00:07:58,520 Speaker 1: probably there'll be several vaccines using similar technology, hopefully with 133 00:07:58,600 --> 00:08:02,120 Speaker 1: similar efficacy. So I think at some point UH and 134 00:08:02,200 --> 00:08:06,240 Speaker 1: I'm thinking early, but I think it can be a 135 00:08:06,360 --> 00:08:10,000 Speaker 1: very bumpy road until we get there where it where 136 00:08:10,000 --> 00:08:12,440 Speaker 1: it's widespread, and then you have to see how many 137 00:08:12,480 --> 00:08:16,080 Speaker 1: people we'll be willing to take it. But since we 138 00:08:16,160 --> 00:08:20,560 Speaker 1: know probably twenty five million or more Americans probably have 139 00:08:20,760 --> 00:08:23,280 Speaker 1: the virus. Based on that one in ten, we know 140 00:08:23,360 --> 00:08:26,320 Speaker 1: the death rate is certainly higher than the you know, 141 00:08:26,480 --> 00:08:30,040 Speaker 1: hundred and twenty five or hundred and fifty thousand people 142 00:08:30,240 --> 00:08:33,000 Speaker 1: as going to climb much much higher. You know, we're 143 00:08:33,040 --> 00:08:35,960 Speaker 1: gonna have a lot of shocks to the system, the 144 00:08:36,000 --> 00:08:40,079 Speaker 1: economic system. Uh. And I think it is this is encouraging, 145 00:08:40,400 --> 00:08:42,800 Speaker 1: but it's it is an early step in a very 146 00:08:42,840 --> 00:08:45,719 Speaker 1: long process to to turn things around. I don't mean 147 00:08:45,760 --> 00:08:48,600 Speaker 1: to be negative. I'm just trying to keep it in perspective. 148 00:08:49,440 --> 00:08:51,160 Speaker 1: We look to you to keep it real for us. See. 149 00:08:51,160 --> 00:08:55,040 Speaker 1: And um so speaking of which is speaking of long roads, uh, 150 00:08:55,280 --> 00:08:58,320 Speaker 1: the road back for New York City. You are there 151 00:08:58,360 --> 00:09:01,240 Speaker 1: in New York. You saw I'm sure that Major de 152 00:09:01,320 --> 00:09:04,840 Speaker 1: Blasio and Governor Cuomo said let's slow down a little 153 00:09:04,840 --> 00:09:09,200 Speaker 1: bit on indoor dining, uh, expansive outdoor dining. This is 154 00:09:09,240 --> 00:09:14,280 Speaker 1: a cautious reopening, to say the least. Uh, clearly informed 155 00:09:14,280 --> 00:09:16,439 Speaker 1: by what we see going on in the rest of 156 00:09:16,480 --> 00:09:18,880 Speaker 1: the country in New York and New York City specifically, 157 00:09:18,960 --> 00:09:21,640 Speaker 1: not wanting to fall back. What do you make of 158 00:09:21,679 --> 00:09:24,880 Speaker 1: it so far? The reopening? All right, this is really 159 00:09:24,960 --> 00:09:28,520 Speaker 1: unexplored territory. We we it's not like there's a template, 160 00:09:29,160 --> 00:09:32,400 Speaker 1: UH to follow. And I think New York certainly has 161 00:09:32,440 --> 00:09:35,360 Speaker 1: done remarkably well compared to the rest of the country. 162 00:09:35,360 --> 00:09:38,120 Speaker 1: We dealt with a major hospital surge, and I think 163 00:09:38,160 --> 00:09:43,160 Speaker 1: everyone is afraid, justifiably of either a second wave or 164 00:09:43,480 --> 00:09:46,719 Speaker 1: losing ground, and that would be a real strain on 165 00:09:46,800 --> 00:09:50,200 Speaker 1: not only the economics the hospital system, and so I 166 00:09:50,240 --> 00:09:53,080 Speaker 1: think we have to be careful. Certainly, we know outside 167 00:09:53,160 --> 00:09:57,520 Speaker 1: is better than inside. Wearing masks, having some social distance 168 00:09:57,880 --> 00:10:03,240 Speaker 1: certainly reduces the risk. Um and I think he's trying 169 00:10:03,280 --> 00:10:05,800 Speaker 1: to be prudent. It's going to be very difficult to 170 00:10:05,800 --> 00:10:08,800 Speaker 1: know when is the old clear signal that restaurants can 171 00:10:08,880 --> 00:10:11,240 Speaker 1: go back, And I think that puts a question on 172 00:10:11,280 --> 00:10:14,840 Speaker 1: the whole economy and um, yeah, and small business owners, 173 00:10:15,080 --> 00:10:18,520 Speaker 1: you know they're they're under strain. So I think, um, 174 00:10:19,000 --> 00:10:21,840 Speaker 1: we do need to get back. The optimal time for 175 00:10:21,880 --> 00:10:24,720 Speaker 1: that is unclear, and I think if there's any place 176 00:10:24,760 --> 00:10:27,400 Speaker 1: to begin that, it appears in New York City is 177 00:10:27,440 --> 00:10:30,400 Speaker 1: ready to take some some forward steps as long as 178 00:10:30,440 --> 00:10:33,400 Speaker 1: we track and trace and contact trace and make sure 179 00:10:33,440 --> 00:10:37,600 Speaker 1: we're not seeing any any recurrence or second wave right 180 00:10:37,840 --> 00:10:40,079 Speaker 1: and we're getting ready for that Phase three reopening. Come 181 00:10:40,120 --> 00:10:43,000 Speaker 1: to Lyst six um and thank you so much. Have 182 00:10:43,320 --> 00:10:46,120 Speaker 1: a great holiday, a safe holiday, and of course we'll 183 00:10:46,200 --> 00:10:48,559 Speaker 1: check in with you next week. Dr I and Lost Beat, 184 00:10:48,600 --> 00:10:51,040 Speaker 1: our clinical associate professor of Medicine at the n y 185 00:10:51,120 --> 00:10:54,000 Speaker 1: U Landgoing Medical Center. On the phone from New York City. 186 00:10:54,120 --> 00:10:57,680 Speaker 1: This is Bloomberg business Week with Carol Mazer and Jason 187 00:10:57,800 --> 00:11:01,440 Speaker 1: Kelly on Bloomberg Radio. Jason and I talked about this early. 188 00:11:01,559 --> 00:11:05,079 Speaker 1: It's the perfect beach read, social distancing beach read mind 189 00:11:05,120 --> 00:11:08,760 Speaker 1: you or stay cation or work from home cation read. Uh, 190 00:11:08,800 --> 00:11:12,480 Speaker 1: there's lots of from home cation, you know. I think 191 00:11:12,480 --> 00:11:13,959 Speaker 1: you've a lot of sleep. I'm throwing a lot of 192 00:11:13,960 --> 00:11:18,360 Speaker 1: words out there. Um. It has stolen Super Bowl rings, 193 00:11:18,400 --> 00:11:21,360 Speaker 1: it has corporate espionage, and the most famous art heist 194 00:11:21,400 --> 00:11:23,760 Speaker 1: in modern history. It is time for Business Week's annual 195 00:11:23,800 --> 00:11:27,000 Speaker 1: Heist issue. It's a double issue, lots of stories of 196 00:11:27,040 --> 00:11:30,040 Speaker 1: mystery and things gone missing behind it all. Features editor 197 00:11:30,080 --> 00:11:32,760 Speaker 1: Max Chafkin on the phone from Queen's New York, along 198 00:11:32,800 --> 00:11:34,960 Speaker 1: with Bloomberg Business Week editor Joe Weber on the phone 199 00:11:34,960 --> 00:11:39,439 Speaker 1: in Massachusetts. Joel and Max gotta tell you we love 200 00:11:39,600 --> 00:11:42,000 Speaker 1: this issue, and I feel like it's what everybody needs 201 00:11:42,080 --> 00:11:49,560 Speaker 1: right now. Well that was why we made it go ahead, Joel. Well, 202 00:11:49,600 --> 00:11:52,720 Speaker 1: you know, just the third annual Heist issue. It's a 203 00:11:52,800 --> 00:11:57,360 Speaker 1: huge testament to one Max Chafkin, who has become just 204 00:11:57,440 --> 00:12:00,760 Speaker 1: the captain of this thing. And you know, Max and 205 00:12:00,760 --> 00:12:03,360 Speaker 1: I just like all year long or basically like talking 206 00:12:03,360 --> 00:12:06,640 Speaker 1: about this issue and like putting together our our works 207 00:12:06,640 --> 00:12:09,920 Speaker 1: in progress list or whip list, and you know, trying 208 00:12:09,920 --> 00:12:11,400 Speaker 1: to figure out the ones that are gonna make it 209 00:12:11,480 --> 00:12:13,880 Speaker 1: or not make it. And you know that this issue 210 00:12:13,920 --> 00:12:17,320 Speaker 1: is a culmination really of that process and a huge 211 00:12:17,320 --> 00:12:20,720 Speaker 1: testament to him. And you know, all these UM reads. 212 00:12:20,880 --> 00:12:23,040 Speaker 1: You know, we've always said joke that, um, we want 213 00:12:23,040 --> 00:12:25,640 Speaker 1: to kind of steal your summer with this issue and 214 00:12:25,640 --> 00:12:28,440 Speaker 1: and boy, um could we have come out at a 215 00:12:28,440 --> 00:12:31,880 Speaker 1: better moment in time for that. UM. So hopefully everyone 216 00:12:31,920 --> 00:12:34,800 Speaker 1: can you know, pack this around all summer long and 217 00:12:35,120 --> 00:12:37,520 Speaker 1: take their time enjoying it because the stories are just 218 00:12:37,600 --> 00:12:42,560 Speaker 1: tremendously good. Max, what is your favorite? I mean, you know, 219 00:12:42,600 --> 00:12:45,959 Speaker 1: I love them all, but the this story that Carol 220 00:12:46,000 --> 00:12:49,480 Speaker 1: mentioned at the top, the Super Bowl Rings pis um 221 00:12:49,679 --> 00:12:53,640 Speaker 1: Is is epic and wonderful. It's by Zeeke Fox and 222 00:12:53,840 --> 00:12:55,960 Speaker 1: I don't want to ruin the whole thing. Um, but 223 00:12:56,040 --> 00:12:59,240 Speaker 1: it's about a very very very committed New England Patriots 224 00:12:59,320 --> 00:13:04,760 Speaker 1: fans who decided, uh in basically that thirteen years ago 225 00:13:04,840 --> 00:13:08,360 Speaker 1: to get revenge on on the Giants, and the way 226 00:13:08,400 --> 00:13:10,760 Speaker 1: he decided to do that was by sealing their Super Bowl. 227 00:13:10,840 --> 00:13:16,040 Speaker 1: Now and it wasn't even the biggest heist that he 228 00:13:16,120 --> 00:13:20,200 Speaker 1: went math for that, you'll have to read the story. Um. Uh. 229 00:13:20,200 --> 00:13:24,079 Speaker 1: You know, you guys talked with clear Subteth yesterday, um 230 00:13:24,240 --> 00:13:28,360 Speaker 1: about her story about the Gardner Museum where this five 231 00:13:28,880 --> 00:13:33,560 Speaker 1: million dollar mystery remains, this this sort of thing in 232 00:13:33,600 --> 00:13:35,520 Speaker 1: the art world that no one has ever been able 233 00:13:35,559 --> 00:13:39,320 Speaker 1: to crack. Um. My favorite little detail about that is 234 00:13:39,679 --> 00:13:42,040 Speaker 1: we call it we've called it the case of the 235 00:13:42,080 --> 00:13:46,640 Speaker 1: Empty Frames because the museum has to keep the frames 236 00:13:46,720 --> 00:13:51,679 Speaker 1: empty on the walls because otherwise the the entire museum 237 00:13:51,920 --> 00:13:54,559 Speaker 1: would actually turn over to Harvard and they have to 238 00:13:54,640 --> 00:13:57,280 Speaker 1: keep things exactly as they were when the eras handed 239 00:13:57,280 --> 00:14:00,120 Speaker 1: them down and created the museum. Um. So it's like 240 00:14:00,360 --> 00:14:02,160 Speaker 1: a heist within a heist if they you know, if 241 00:14:02,160 --> 00:14:05,480 Speaker 1: they act out of line. Um and and the stories 242 00:14:05,520 --> 00:14:07,080 Speaker 1: just kind of keep going. There's an amazing one that 243 00:14:07,120 --> 00:14:11,920 Speaker 1: we just published today by Natalie Obico Pearson Um about 244 00:14:12,120 --> 00:14:17,040 Speaker 1: Huawei and Canada where there was once a company called Nortel, 245 00:14:17,720 --> 00:14:23,360 Speaker 1: a mysterious hack um sink that company Whahwei. It coincides 246 00:14:23,400 --> 00:14:25,960 Speaker 1: with basically the moment in time that Huawei really started 247 00:14:26,000 --> 00:14:30,240 Speaker 1: to emerge as a dominant force. And actually, uh Huahwei 248 00:14:30,480 --> 00:14:34,200 Speaker 1: ended up hiring a whole team of Nortel engineers who 249 00:14:34,280 --> 00:14:37,320 Speaker 1: basically ended up being the ones that built five g 250 00:14:37,520 --> 00:14:40,400 Speaker 1: at Wahwei. Uh. So all of these stories, it's a 251 00:14:40,400 --> 00:14:42,760 Speaker 1: way of talking. And there's another one that we'll talk 252 00:14:42,800 --> 00:14:45,440 Speaker 1: more about tomorrow. I hope um that make it very 253 00:14:45,440 --> 00:14:47,360 Speaker 1: of the moment. So it's a way for us to 254 00:14:47,400 --> 00:14:50,880 Speaker 1: be both timely and and timeless, which is sort of 255 00:14:50,880 --> 00:14:52,680 Speaker 1: one of my favorite attributes that we try and do it. 256 00:14:52,720 --> 00:14:55,240 Speaker 1: They're just so much fun. So, Max, I'm just curious 257 00:14:55,240 --> 00:14:57,440 Speaker 1: about the conversations you guys have in the news room 258 00:14:57,480 --> 00:14:59,280 Speaker 1: when you are putting this together. You gotta think about 259 00:14:59,320 --> 00:15:01,000 Speaker 1: it. It It comes out every year at least for the 260 00:15:01,040 --> 00:15:04,040 Speaker 1: last four years, so you know what goes on in 261 00:15:04,040 --> 00:15:05,560 Speaker 1: the newsroom as you get ready, you know, and you 262 00:15:05,640 --> 00:15:09,760 Speaker 1: plan for this well so I mean these are mostly fun. 263 00:15:09,960 --> 00:15:12,320 Speaker 1: Really not every story in this issue is what I 264 00:15:12,320 --> 00:15:15,680 Speaker 1: would call, you know, a hundred percent fall laugh. Um. 265 00:15:15,720 --> 00:15:18,080 Speaker 1: But but for the most part, we're talking about stories 266 00:15:18,080 --> 00:15:21,520 Speaker 1: that are fun and entertaining to report and and and 267 00:15:21,640 --> 00:15:24,040 Speaker 1: entertaining to write and entertaining to read. And so you know, 268 00:15:24,120 --> 00:15:26,920 Speaker 1: the reporters in the newsroom like this issue. It's a 269 00:15:27,000 --> 00:15:31,120 Speaker 1: it's a kind of journalist favorite and um. And so yeah, 270 00:15:31,160 --> 00:15:33,680 Speaker 1: throughout the year, you know, we're, like Joel said, you know, 271 00:15:33,680 --> 00:15:37,560 Speaker 1: we're fielding pitches, um for these stories. The Super Bowl 272 00:15:37,560 --> 00:15:40,080 Speaker 1: one that I mentioned was uh, you know months in 273 00:15:40,120 --> 00:15:42,480 Speaker 1: the making. I think we first started talking about it 274 00:15:42,520 --> 00:15:46,440 Speaker 1: in October and November of last year. Um and uh 275 00:15:46,600 --> 00:15:49,080 Speaker 1: and and and so it's it's kind of a combination 276 00:15:49,080 --> 00:15:51,640 Speaker 1: of just sort of over the year, uh, you know, 277 00:15:51,880 --> 00:15:53,640 Speaker 1: fielding a bunch of pitches, but then also trying to 278 00:15:53,640 --> 00:15:56,880 Speaker 1: be a little bit imaginative and think about, you know, 279 00:15:57,000 --> 00:15:59,360 Speaker 1: what are some what are business stories that you wouldn't 280 00:15:59,400 --> 00:16:02,800 Speaker 1: necessarily think of as a conventional heist story, but that 281 00:16:02,840 --> 00:16:04,800 Speaker 1: could be thought of that way. And and and that's 282 00:16:04,840 --> 00:16:08,440 Speaker 1: one that's like the North Tell story that that Joel mentioned, 283 00:16:08,440 --> 00:16:10,760 Speaker 1: you know, also by the way Happy Canada Day everybody. 284 00:16:10,800 --> 00:16:14,520 Speaker 1: I mean, the story is about a Canadian national champion 285 00:16:14,560 --> 00:16:19,840 Speaker 1: that um was you know, through its own hand, through 286 00:16:20,040 --> 00:16:23,080 Speaker 1: the market, and through a hack was destroyed. And so 287 00:16:23,120 --> 00:16:25,320 Speaker 1: it's not it's not a straight up heist, but it 288 00:16:25,480 --> 00:16:28,240 Speaker 1: is a story where there where some theft plays a role, 289 00:16:28,280 --> 00:16:30,840 Speaker 1: and there's also kind of a sort of business theft 290 00:16:30,920 --> 00:16:33,560 Speaker 1: that is like one company taking another company's market share. 291 00:16:33,760 --> 00:16:36,960 Speaker 1: So we try to take you know, a a sort 292 00:16:37,000 --> 00:16:38,680 Speaker 1: of broader view of heist. And then we and then 293 00:16:38,720 --> 00:16:40,440 Speaker 1: but of course they have to have some like just 294 00:16:40,560 --> 00:16:44,880 Speaker 1: classic you know, take the painting type type type stories 295 00:16:44,920 --> 00:16:47,240 Speaker 1: and and and we actually have two of us issues. 296 00:16:47,280 --> 00:16:51,880 Speaker 1: So so it's it's a mix Canada Dayay a zoom 297 00:16:51,960 --> 00:16:53,800 Speaker 1: cocktail party for that one a little bit later on. 298 00:16:55,280 --> 00:16:58,600 Speaker 1: So Max, just one last quick question for you. I mean, 299 00:16:59,280 --> 00:17:02,880 Speaker 1: as you odd about this issue, and as Joel pointed out, 300 00:17:02,960 --> 00:17:05,040 Speaker 1: you know, this is one that you're talking about for 301 00:17:05,160 --> 00:17:07,960 Speaker 1: months and months and months of in advance. Obviously the 302 00:17:08,000 --> 00:17:11,479 Speaker 1: world changed pretty dramatically over the past four or five months. 303 00:17:11,680 --> 00:17:14,840 Speaker 1: How does pandemic sort of infuse a project like this 304 00:17:15,040 --> 00:17:18,879 Speaker 1: other than everybody's working remotely and you're probably doing to 305 00:17:19,119 --> 00:17:21,439 Speaker 1: Carol's point just a minute ago, a lot more zoom calls. 306 00:17:21,480 --> 00:17:24,840 Speaker 1: But how does it affect it editorially? Yeah, I mean 307 00:17:25,280 --> 00:17:28,120 Speaker 1: in terms of the process, that's all the usual tough 308 00:17:28,119 --> 00:17:31,480 Speaker 1: stuff that everybody's going through. Um. But but in Turm, 309 00:17:31,520 --> 00:17:33,399 Speaker 1: we we thought a lot about how to how to 310 00:17:33,440 --> 00:17:36,600 Speaker 1: treat the pandemic because on one hand, you know, maybe 311 00:17:36,640 --> 00:17:38,840 Speaker 1: maybe people don't want to read anything about you know, 312 00:17:38,840 --> 00:17:41,600 Speaker 1: an art and art theft or something like that, because 313 00:17:41,920 --> 00:17:44,239 Speaker 1: you know it couldn't be furthest thing, furtherest from your 314 00:17:44,240 --> 00:17:46,760 Speaker 1: mind right now. And and our thought was like, look, 315 00:17:46,800 --> 00:17:49,760 Speaker 1: people need a break where people are ready to obviously 316 00:17:49,840 --> 00:17:52,639 Speaker 1: that there's there's room for um, there's room for all 317 00:17:52,720 --> 00:17:55,040 Speaker 1: kinds of stories and the pandemic. There is a teachy 318 00:17:55,080 --> 00:17:58,680 Speaker 1: bit of pandemic in this issue. Um. But we just thought, 319 00:17:58,680 --> 00:18:00,520 Speaker 1: you know, time to give people a little bit of 320 00:18:00,520 --> 00:18:02,960 Speaker 1: a break, let them let them read some read some 321 00:18:03,040 --> 00:18:05,560 Speaker 1: news and read some stories that that that you know, 322 00:18:05,640 --> 00:18:07,600 Speaker 1: don't touch on this mullable thing that we're going through 323 00:18:07,600 --> 00:18:10,320 Speaker 1: in and hopefully you know, readers will appreciate that. Yeah, 324 00:18:10,440 --> 00:18:12,360 Speaker 1: I think it's great timing. Jason and I are still 325 00:18:12,359 --> 00:18:15,040 Speaker 1: talking about the b story. We just love that one 326 00:18:15,240 --> 00:18:18,480 Speaker 1: from from last year. Alright, re up that. Go to 327 00:18:18,520 --> 00:18:20,639 Speaker 1: business week dot com and re up that. Max Chafkin, 328 00:18:21,119 --> 00:18:24,200 Speaker 1: thank you so much, Features editor for Bloomberg, the architect 329 00:18:24,280 --> 00:18:26,800 Speaker 1: of the heist issue. Or thanks as well to Joe Webber, 330 00:18:26,920 --> 00:18:30,959 Speaker 1: the editor of Bloomberg Business Week. You're listening to Bloomberg 331 00:18:30,960 --> 00:18:35,399 Speaker 1: Business Week with Carol Masser and Jason Kelly on Bloomberg Radio, 332 00:18:37,080 --> 00:18:40,400 Speaker 1: and it's time to do a little Business Week economics. 333 00:18:40,520 --> 00:18:43,280 Speaker 1: Let's talk about everything that's going on in the world 334 00:18:43,280 --> 00:18:48,159 Speaker 1: of economics, Carol, because those FED minutes obviously very important 335 00:18:48,200 --> 00:18:51,200 Speaker 1: in terms of setting the tone. UM. Happy to catch 336 00:18:51,240 --> 00:18:54,600 Speaker 1: up with Winny Catalano. Yeah, he's a chief market strategist 337 00:18:54,600 --> 00:18:57,879 Speaker 1: of its Duyveson Capital Management, global investment strategist at Defoe 338 00:18:58,240 --> 00:19:01,679 Speaker 1: Red Mound on the phone for New Jersey. I'm being 339 00:19:01,800 --> 00:19:03,440 Speaker 1: nice to have you back with us. How are you. 340 00:19:04,000 --> 00:19:07,160 Speaker 1: I'm doing well, How are you doing okay? I'm trying 341 00:19:07,200 --> 00:19:11,600 Speaker 1: to make sense, you know, and just watching the virus developments, 342 00:19:11,640 --> 00:19:14,840 Speaker 1: watching the economy, watching the market moves. UM, and of 343 00:19:14,840 --> 00:19:17,439 Speaker 1: course we have those FED minutes earlier. You have some 344 00:19:17,520 --> 00:19:22,320 Speaker 1: thoughts about the role of the FED, in which you 345 00:19:22,480 --> 00:19:27,520 Speaker 1: talk about perpetuating a broken economic system. How so okay, 346 00:19:27,680 --> 00:19:30,760 Speaker 1: several years ago I had an email debate going on 347 00:19:30,840 --> 00:19:35,359 Speaker 1: with the then Minneapolis FED president Narayana cut up Coda, 348 00:19:35,359 --> 00:19:38,399 Speaker 1: I believe is how you pronounced his name. I asked 349 00:19:38,400 --> 00:19:44,440 Speaker 1: a simple question, is the Fed back stopping bad economic behavior? 350 00:19:44,800 --> 00:19:48,080 Speaker 1: Of course, that can happen from time to time, And 351 00:19:48,680 --> 00:19:52,440 Speaker 1: his response was an interesting one. It was that they 352 00:19:52,520 --> 00:19:56,639 Speaker 1: are appointed officials and it is not their job to 353 00:19:57,480 --> 00:20:01,119 Speaker 1: um to do to disagree with say they might disagree with, 354 00:20:01,200 --> 00:20:04,120 Speaker 1: but it's not their job to implement different policy than 355 00:20:04,320 --> 00:20:10,080 Speaker 1: elected officials, meaning politicians. And I just let that thought. Okay, 356 00:20:10,240 --> 00:20:12,480 Speaker 1: it's sunk in for a while, and then I'm looking 357 00:20:12,520 --> 00:20:15,280 Speaker 1: at the way the market has how the ft has behaved, 358 00:20:15,280 --> 00:20:17,959 Speaker 1: and the markets have behaved in the economy and everything 359 00:20:18,000 --> 00:20:20,280 Speaker 1: else over the years. And a couple of other things 360 00:20:20,280 --> 00:20:23,600 Speaker 1: sorted to fall into place, which deals with the fact 361 00:20:23,640 --> 00:20:27,520 Speaker 1: that we're in an economic system which I call neoliberalism, 362 00:20:28,240 --> 00:20:33,040 Speaker 1: which is the replacement from Keynesianism. And there are certain 363 00:20:33,119 --> 00:20:36,800 Speaker 1: dynamics and elements that happened within this economic system of 364 00:20:36,880 --> 00:20:43,600 Speaker 1: neoliberalism that involved a proactive the central bank. So now 365 00:20:43,640 --> 00:20:46,680 Speaker 1: if you put those two things together. What you get 366 00:20:46,880 --> 00:20:51,000 Speaker 1: is you get a proactive FED. Uh, not reactive like 367 00:20:51,119 --> 00:20:53,000 Speaker 1: it had been in the past. But since the mid 368 00:20:53,080 --> 00:20:56,520 Speaker 1: nineteen nineties, the FET has been proactive. It's been stepping in, 369 00:20:56,640 --> 00:21:01,600 Speaker 1: has been um avoiding, doing its best to have the 370 00:21:01,640 --> 00:21:07,280 Speaker 1: economy avoid an economic downturn. You know, recessions happen and 371 00:21:07,680 --> 00:21:12,000 Speaker 1: we end up getting these uh ten year period big 372 00:21:12,080 --> 00:21:15,399 Speaker 1: hits to the economy because they don't allow the normal 373 00:21:15,440 --> 00:21:19,800 Speaker 1: process to occur. So the FED is acting in this 374 00:21:19,960 --> 00:21:25,080 Speaker 1: proactive manner. Elected officials love that idea because they don't 375 00:21:25,119 --> 00:21:27,880 Speaker 1: have to make the hard choices. And we do need 376 00:21:28,119 --> 00:21:32,960 Speaker 1: a new economic system because clearly neoliberalism is run its course. 377 00:21:33,040 --> 00:21:36,639 Speaker 1: Just like Caijianism run its course. Neoliberalism is run its course. 378 00:21:36,880 --> 00:21:38,879 Speaker 1: We need something new, but it's not going to happen 379 00:21:39,000 --> 00:21:45,800 Speaker 1: because I called the FED the monetary uh pueterion guard. Uh. 380 00:21:46,040 --> 00:21:49,320 Speaker 1: They are the protectors of the emperor, the protectors of 381 00:21:49,359 --> 00:21:52,520 Speaker 1: the empire. Alright, alright, we got a lot of questions, 382 00:21:52,520 --> 00:21:54,480 Speaker 1: so you get it. Wait, hold on a second, So 383 00:21:54,800 --> 00:21:56,960 Speaker 1: so go ahead, James, I think you've got something. Well, 384 00:21:57,000 --> 00:22:01,520 Speaker 1: I mean, I have many questions, but how much of 385 00:22:01,560 --> 00:22:06,320 Speaker 1: this is crisis induced Vinny, and how much of this 386 00:22:06,440 --> 00:22:11,720 Speaker 1: was just going on before and now it's much more apparent. Okay, 387 00:22:11,800 --> 00:22:14,800 Speaker 1: everything seems to be a crisis. At least in terms 388 00:22:14,920 --> 00:22:17,119 Speaker 1: this is a big one. I think we can agree 389 00:22:17,160 --> 00:22:19,080 Speaker 1: this is a pretty big This is a big one, 390 00:22:19,160 --> 00:22:21,480 Speaker 1: and this was needed. And this is where the FED 391 00:22:21,520 --> 00:22:25,719 Speaker 1: traditionally has been reactive. It's necessary to do because of 392 00:22:25,720 --> 00:22:30,720 Speaker 1: what's happened circumstances, you know, uh, force the situation. But 393 00:22:30,880 --> 00:22:34,120 Speaker 1: in prior periods, at the end off and the early 394 00:22:34,119 --> 00:22:38,760 Speaker 1: part of when they went into the QUEUEI to infinity toolbox, 395 00:22:39,280 --> 00:22:40,840 Speaker 1: it was at a point in time in which the 396 00:22:40,880 --> 00:22:43,960 Speaker 1: financial markets were turning down, the economy was getting a 397 00:22:44,040 --> 00:22:47,440 Speaker 1: little bit weak. It wasn't necessary at that point in time, 398 00:22:47,800 --> 00:22:50,399 Speaker 1: at least from what I can tell that they had 399 00:22:50,440 --> 00:22:53,200 Speaker 1: a step in at that at that particular juncture. So 400 00:22:53,280 --> 00:22:55,760 Speaker 1: there were points along the way in which they did 401 00:22:55,840 --> 00:22:59,880 Speaker 1: things that did not allow the economy to go through 402 00:23:00,000 --> 00:23:03,840 Speaker 1: it's normal creative, destructive process, as painful as that is, 403 00:23:04,240 --> 00:23:06,199 Speaker 1: and then things build up and build up and build up, 404 00:23:06,200 --> 00:23:08,600 Speaker 1: and then something comes along a catalyst, So this one 405 00:23:08,640 --> 00:23:11,040 Speaker 1: was unusual, and then we end up with where we're 406 00:23:11,040 --> 00:23:13,960 Speaker 1: at now. All right, So Okay, we've only got about 407 00:23:14,000 --> 00:23:17,680 Speaker 1: two minutes a little bit over. So what what should 408 00:23:17,680 --> 00:23:19,639 Speaker 1: be the new economic system? And the other thing that 409 00:23:19,720 --> 00:23:21,240 Speaker 1: I need to ask you. If the FETE did not 410 00:23:21,359 --> 00:23:26,000 Speaker 1: come in after the Great Recession, after what's happened with 411 00:23:26,080 --> 00:23:30,000 Speaker 1: the COVID shutdown, I am worried about what might have 412 00:23:30,080 --> 00:23:34,720 Speaker 1: happened essentially to our economy, our market environment, um kind 413 00:23:34,720 --> 00:23:37,080 Speaker 1: of to our system. Are you saying that we should 414 00:23:37,080 --> 00:23:40,080 Speaker 1: have just let it come undone? No? Not. At those 415 00:23:40,119 --> 00:23:42,359 Speaker 1: points in time it was necessary to step in. They 416 00:23:42,400 --> 00:23:45,360 Speaker 1: did what they needed to do to stabilize the system, 417 00:23:45,640 --> 00:23:48,640 Speaker 1: to help the economy get out of a bad situation. 418 00:23:48,680 --> 00:23:51,959 Speaker 1: But then along the way it stepped in repeatedly because 419 00:23:52,000 --> 00:23:56,479 Speaker 1: of this market centric mentality of what neoliberalism is. And 420 00:23:56,520 --> 00:24:01,240 Speaker 1: so therefore the FETE is just reflecting back on ideology. 421 00:24:01,400 --> 00:24:03,920 Speaker 1: What a system that will replace it? I don't know. 422 00:24:04,200 --> 00:24:07,919 Speaker 1: I don't know what it is. I just know the process. Finny, Jenny, 423 00:24:08,000 --> 00:24:10,440 Speaker 1: you can't come up and tell me it's this huge 424 00:24:10,520 --> 00:24:13,640 Speaker 1: problem and they not have a solution. You're a man 425 00:24:13,680 --> 00:24:17,560 Speaker 1: of solutions, Vinny, Well, you know that's a great point. 426 00:24:18,280 --> 00:24:22,639 Speaker 1: What you need is what they call Erik Coffer called 427 00:24:23,440 --> 00:24:25,800 Speaker 1: a man of words, let's call him a person of words, 428 00:24:25,840 --> 00:24:29,680 Speaker 1: somebody who writes the economic theory that then gets adopted 429 00:24:29,680 --> 00:24:33,200 Speaker 1: by the person of action. And if you look at neoliberalism, 430 00:24:33,240 --> 00:24:37,480 Speaker 1: the person of words was Milton Friedman, Frederick Kayak fifties 431 00:24:37,480 --> 00:24:41,040 Speaker 1: and sixties. And then along comes roun Oreagan, Margaret Santra Boom, 432 00:24:41,080 --> 00:24:44,040 Speaker 1: it gets implemented. Those are the people of action. Listen, 433 00:24:44,080 --> 00:24:46,320 Speaker 1: I will say, I will say, and we're running out 434 00:24:46,320 --> 00:24:47,840 Speaker 1: of time, but this is one of those things we could, 435 00:24:47,840 --> 00:24:49,320 Speaker 1: you know, sit down at a bar, have some good 436 00:24:49,359 --> 00:24:51,120 Speaker 1: red wine and really talk about it for a long time. 437 00:24:51,160 --> 00:24:53,320 Speaker 1: But I do agree that there are some things in 438 00:24:53,320 --> 00:24:57,359 Speaker 1: our economic system that we know, and certainly these crises 439 00:24:57,359 --> 00:25:00,280 Speaker 1: continue to lay it out for us that we need 440 00:25:00,359 --> 00:25:02,879 Speaker 1: to look at our system and maybe rework some things 441 00:25:02,880 --> 00:25:06,320 Speaker 1: so that it works better. Vinny um, always provocative. Have 442 00:25:06,359 --> 00:25:09,160 Speaker 1: a great holiday. Nice to check in with you. Yeah, 443 00:25:09,280 --> 00:25:13,240 Speaker 1: be well. Vinny Catalana, Chief Market Strategy at Stuyveston Capital Management, 444 00:25:13,240 --> 00:25:15,399 Speaker 1: Global Investment Strategies at the Faux Red Mount, on the 445 00:25:15,400 --> 00:25:18,639 Speaker 1: phone from New Jersey. This is Bloomberg Business Week with 446 00:25:18,720 --> 00:25:23,200 Speaker 1: Carol Masser and Jason Kelly on Bloomberg Radio. Let's get 447 00:25:23,240 --> 00:25:26,760 Speaker 1: to our next story. Emily Chason is back with us. 448 00:25:27,119 --> 00:25:30,440 Speaker 1: She's talking about what we're all doing, which is working 449 00:25:30,480 --> 00:25:34,400 Speaker 1: from home, Carol, and she is here to talk about 450 00:25:34,800 --> 00:25:37,600 Speaker 1: what we do in a green world? Can we be 451 00:25:37,760 --> 00:25:40,720 Speaker 1: sustainable while we're working from home? I would like to 452 00:25:40,760 --> 00:25:44,000 Speaker 1: be Emily Jason shed on the phone, tell me what 453 00:25:44,040 --> 00:25:51,320 Speaker 1: we should be thinking about. Yeah, hi, Green newsletter this week. UM, 454 00:25:51,359 --> 00:25:55,560 Speaker 1: I was looking at what happened when everybody works from home, 455 00:25:55,680 --> 00:26:00,080 Speaker 1: and you know, daily US carbon emissions were down in 456 00:26:00,200 --> 00:26:03,080 Speaker 1: March to early June. So just eliminating the commute with 457 00:26:03,200 --> 00:26:07,119 Speaker 1: a huge impact in terms of reducing emissions. Um. But 458 00:26:07,200 --> 00:26:08,680 Speaker 1: it turns out that's the only part of the story. 459 00:26:08,680 --> 00:26:11,439 Speaker 1: While all these people were working from home. UM. We 460 00:26:11,520 --> 00:26:14,240 Speaker 1: also talk to Google, and Google found that the number 461 00:26:14,280 --> 00:26:18,640 Speaker 1: of people searching for how to live a sustainable lifestyle 462 00:26:18,680 --> 00:26:22,879 Speaker 1: increased by four thousand five during the coronavirus period. So 463 00:26:22,920 --> 00:26:25,639 Speaker 1: people are trying to be more sustainable at home. I 464 00:26:25,680 --> 00:26:27,640 Speaker 1: love your story because what you say when it comes 465 00:26:27,640 --> 00:26:30,840 Speaker 1: to as Google searches, people are searching on composting, switching 466 00:26:30,840 --> 00:26:34,960 Speaker 1: to green energy providers. That has all become populars popular, 467 00:26:35,080 --> 00:26:38,320 Speaker 1: I mean people. I do agree that folks don't laugh 468 00:26:38,359 --> 00:26:42,240 Speaker 1: at me, Jason, I'm because I can only see the 469 00:26:42,359 --> 00:26:44,840 Speaker 1: very top of your head because sorry, I had to 470 00:26:44,880 --> 00:26:47,399 Speaker 1: stand up now. But what's interesting, Emily is we've been 471 00:26:47,440 --> 00:26:51,920 Speaker 1: having this conversation, whether it's talking about sustainability, whether it's 472 00:26:51,920 --> 00:26:54,760 Speaker 1: about race and diversity, Like we're all at home kind 473 00:26:54,760 --> 00:26:56,760 Speaker 1: of really looking or you know, what we're eating. We 474 00:26:56,840 --> 00:26:59,359 Speaker 1: talked about this with Impossible Foods the CFO, like what 475 00:26:59,400 --> 00:27:02,320 Speaker 1: we're eating, we're really looking, taking a deep dive into 476 00:27:02,400 --> 00:27:06,240 Speaker 1: our life and looking at kind of our actions and 477 00:27:06,240 --> 00:27:08,840 Speaker 1: and that plays into what you write about in terms 478 00:27:08,880 --> 00:27:12,800 Speaker 1: of sustainability. Yeah, I mean when you're home, all the 479 00:27:12,880 --> 00:27:15,000 Speaker 1: stuff that's visibility. You know, most people haven't sent that 480 00:27:15,040 --> 00:27:16,320 Speaker 1: much time in their home or it just kind of 481 00:27:16,359 --> 00:27:18,960 Speaker 1: come in and out every day, and you know, it's 482 00:27:18,960 --> 00:27:20,480 Speaker 1: spending all the time really well, what am I really 483 00:27:20,480 --> 00:27:22,760 Speaker 1: doing here? And it's very visible to you. And the 484 00:27:22,800 --> 00:27:25,200 Speaker 1: things that you can do to actually reduce your emissions 485 00:27:25,240 --> 00:27:28,439 Speaker 1: impact or maybe not that obvious, like using the dishwasher 486 00:27:28,680 --> 00:27:33,880 Speaker 1: is more energy and water efficient than hand washing dishes. Um, 487 00:27:33,960 --> 00:27:36,879 Speaker 1: using cold laundry cold water to wash your clothes and 488 00:27:36,920 --> 00:27:39,679 Speaker 1: the laundry um, says a huge amount of emissions. Like 489 00:27:39,680 --> 00:27:42,080 Speaker 1: if you talk to practor and Gamble or seven generations, 490 00:27:42,119 --> 00:27:44,080 Speaker 1: they'll say that that is a huge impact. I do 491 00:27:44,119 --> 00:27:47,520 Speaker 1: almost all my laundry and cold water really, yeah, forever. 492 00:27:47,600 --> 00:27:49,520 Speaker 1: And part of it is because it's better on your clothes, 493 00:27:49,560 --> 00:27:52,520 Speaker 1: because hot water really in terms of the colors and pigments. 494 00:27:52,520 --> 00:27:55,200 Speaker 1: So I almost always do all cold water and almost 495 00:27:55,240 --> 00:27:57,280 Speaker 1: all of my clothes. I'm sorry. And one of the 496 00:27:57,680 --> 00:28:00,760 Speaker 1: ones today we found the still read this week about 497 00:28:00,800 --> 00:28:03,119 Speaker 1: toilet paper. Um, I guess the stuff that we were 498 00:28:03,119 --> 00:28:05,240 Speaker 1: getting in the office is made of more recycled content, 499 00:28:05,560 --> 00:28:07,400 Speaker 1: and the fluffier stuff you buy at home is made 500 00:28:07,440 --> 00:28:10,080 Speaker 1: of more virgin wood pulp from trees. Oh my god. 501 00:28:10,359 --> 00:28:13,280 Speaker 1: We went so deep on that story, Emily. It was actually, 502 00:28:13,359 --> 00:28:18,639 Speaker 1: I think disturbing to our listeners because we talked at nauseam. Emily. 503 00:28:18,680 --> 00:28:20,800 Speaker 1: It was a t m I moment. Yeah, it was 504 00:28:20,880 --> 00:28:23,720 Speaker 1: just there was so much about buying habits and and 505 00:28:23,800 --> 00:28:26,760 Speaker 1: I just I'm glad you weren't listening. But it is 506 00:28:26,800 --> 00:28:28,960 Speaker 1: an important story. It's an important piece of the story. 507 00:28:29,000 --> 00:28:31,399 Speaker 1: But it's an awareness, right like we had we have 508 00:28:31,520 --> 00:28:34,240 Speaker 1: had now the soft toilet paper conversation at home and 509 00:28:34,720 --> 00:28:37,040 Speaker 1: we might have to rethink that. I mean, my husband's like, 510 00:28:37,040 --> 00:28:39,720 Speaker 1: do you really need that's love stuff? And you know, 511 00:28:39,760 --> 00:28:44,200 Speaker 1: but but we're thinking about this stuff, right Yeah. Well, 512 00:28:44,240 --> 00:28:46,000 Speaker 1: I guess you know. One thing that's interesting about they 513 00:28:46,000 --> 00:28:48,640 Speaker 1: two is there's a lot more single use classic out there. 514 00:28:48,680 --> 00:28:51,520 Speaker 1: People are seeing the masks and the gloves on the 515 00:28:51,560 --> 00:28:53,680 Speaker 1: ground and thinking, oh, well, am I using all the 516 00:28:53,680 --> 00:28:55,840 Speaker 1: classic And you know, when you limiting your commute, you're 517 00:28:55,840 --> 00:28:59,040 Speaker 1: actually probably reducing some of your single use plasticause you 518 00:28:59,040 --> 00:29:01,320 Speaker 1: don't have that coffee cut to go or anything like that. 519 00:29:01,600 --> 00:29:04,400 Speaker 1: But um, you know, the plastics industry has really pushed 520 00:29:04,880 --> 00:29:07,120 Speaker 1: but you know, their stuff is safe right now. And 521 00:29:07,200 --> 00:29:09,880 Speaker 1: a screen piece just this month put out a piecing 522 00:29:10,040 --> 00:29:12,160 Speaker 1: you know, usable bags and cups are still safe, Like 523 00:29:12,200 --> 00:29:15,000 Speaker 1: they didn't want UM people to think that you have 524 00:29:15,080 --> 00:29:16,680 Speaker 1: to do single use to be safe. You can still 525 00:29:16,680 --> 00:29:19,760 Speaker 1: wash things and they're still safe from coronavirus. Yeah. I 526 00:29:19,760 --> 00:29:21,720 Speaker 1: think we need to understand that we're on a mission 527 00:29:21,720 --> 00:29:23,400 Speaker 1: in our home to get rid of UM. And I'm 528 00:29:23,440 --> 00:29:26,480 Speaker 1: really sorry Ziplock, but Ziplock bags and things like we've 529 00:29:26,480 --> 00:29:28,840 Speaker 1: been buying a lot of those. The new kinds of 530 00:29:28,920 --> 00:29:32,280 Speaker 1: is its silicone, silicon, um, the plastic and stuff that's 531 00:29:32,320 --> 00:29:34,840 Speaker 1: supposed to be safer in terms of what the wax 532 00:29:34,920 --> 00:29:38,720 Speaker 1: paper and yeah, like really rethinking that because you can 533 00:29:38,760 --> 00:29:42,800 Speaker 1: go through so much of that stuff. Yeah, Well, it's 534 00:29:42,920 --> 00:29:45,120 Speaker 1: it's interesting to change when people change habits to when 535 00:29:45,120 --> 00:29:48,440 Speaker 1: you do that or like you know, stop buying straws um, 536 00:29:48,480 --> 00:29:50,560 Speaker 1: but you do it. It's kind of hard and Sustainbillard 537 00:29:50,600 --> 00:29:52,600 Speaker 1: to unsee it. Right. Once you see something and you 538 00:29:52,640 --> 00:29:54,080 Speaker 1: start doing it, you're kind of not going to go 539 00:29:54,120 --> 00:29:58,320 Speaker 1: backwards on that behavior. Um. So it's pretty interesting as 540 00:29:58,320 --> 00:30:01,880 Speaker 1: people adopt it and its they're going to stay home more. Um. 541 00:30:02,120 --> 00:30:05,560 Speaker 1: That just to be sort of a long term impact. Well, 542 00:30:05,600 --> 00:30:07,360 Speaker 1: and I will say, and I know you experienced this 543 00:30:07,440 --> 00:30:11,000 Speaker 1: to Carol. Kids are a great check on this, especially 544 00:30:11,000 --> 00:30:14,960 Speaker 1: teenagers who are definitely much more environmentally aware of calling 545 00:30:15,040 --> 00:30:17,840 Speaker 1: us out on you know, things, whether it's single use 546 00:30:17,880 --> 00:30:21,400 Speaker 1: stuff for I don't know, I'm just spitballing here printing uh. 547 00:30:21,440 --> 00:30:24,560 Speaker 1: In any case, Emily Chason, thank you so much, sustainability 548 00:30:24,640 --> 00:30:27,800 Speaker 1: editor for Bloomberg, joining us on the phone from New 549 00:30:27,880 --> 00:30:35,520 Speaker 1: York City. I'm bro journal Yeah, but you let me drive? 550 00:30:35,800 --> 00:30:39,760 Speaker 1: Oh no, no, no, no, who's going to honey? Please, 551 00:30:39,840 --> 00:30:43,480 Speaker 1: I'll do the right revel I want to drive ball, 552 00:30:45,960 --> 00:30:59,240 Speaker 1: just drive baby, questions trying. This is the Drive to 553 00:30:59,280 --> 00:31:06,280 Speaker 1: the Globe that COMMU Boomberg Radio and it's time for 554 00:31:06,400 --> 00:31:09,120 Speaker 1: the Drive to the clothes. Let's head south. Check back 555 00:31:09,160 --> 00:31:12,280 Speaker 1: in with Kara Murphy, chief investment officer for Goldman Sex 556 00:31:12,360 --> 00:31:16,160 Speaker 1: Personal Financial Management, joining us on the phone from Dallas. 557 00:31:16,280 --> 00:31:19,920 Speaker 1: Also a proud Hoya I will point out alma of 558 00:31:20,160 --> 00:31:23,080 Speaker 1: that fine institution. Kara. Great to have you back with 559 00:31:23,160 --> 00:31:27,520 Speaker 1: Carol and myself. So what's it like in Dallas right now? Well, 560 00:31:27,560 --> 00:31:31,520 Speaker 1: it's amazing how quickly we've gone to being relatively unaffected 561 00:31:31,560 --> 00:31:35,840 Speaker 1: by COVID to a new hot spot. So it hasn't 562 00:31:35,920 --> 00:31:39,200 Speaker 1: changed too much, but definitely the headlines out So your 563 00:31:39,200 --> 00:31:42,760 Speaker 1: life hasn't changed that much. Well, we've we've been locked 564 00:31:42,800 --> 00:31:45,080 Speaker 1: down since mid March. You know, I spend a lot 565 00:31:45,120 --> 00:31:48,200 Speaker 1: of walking up and down my street, not going to restaurants, 566 00:31:48,240 --> 00:31:51,440 Speaker 1: and so you know that really hasn't changed. But driving around, 567 00:31:51,800 --> 00:31:54,400 Speaker 1: you know recently you had seen definitely more people out 568 00:31:54,400 --> 00:31:57,800 Speaker 1: and about. Um, I think that's probably starting to change again. 569 00:31:57,880 --> 00:32:00,440 Speaker 1: But you know, personally we're hold up like every boy else. 570 00:32:01,360 --> 00:32:03,720 Speaker 1: So what does it mean as we you know, Jason 571 00:32:03,720 --> 00:32:05,200 Speaker 1: and I kind of kid that, you know, we make 572 00:32:05,200 --> 00:32:06,840 Speaker 1: a little bit of progress and then we fall back. 573 00:32:06,920 --> 00:32:08,800 Speaker 1: I mean, that's certainly what we're seeing here in terms 574 00:32:08,840 --> 00:32:12,120 Speaker 1: of the reopening UM. But it's not just about the reopening. 575 00:32:12,120 --> 00:32:15,360 Speaker 1: It's about the implications it has obviously on individuals on 576 00:32:15,400 --> 00:32:18,760 Speaker 1: the economy. UM. Markets seem to be okay with it, 577 00:32:18,920 --> 00:32:23,600 Speaker 1: so there is that disconnect, But how do you see it? Yeah, 578 00:32:23,920 --> 00:32:26,960 Speaker 1: it's interesting because I think we can expect that there 579 00:32:26,960 --> 00:32:28,800 Speaker 1: are going to be a lot of fits and starts 580 00:32:28,840 --> 00:32:32,000 Speaker 1: with this virus for quite some time, so we're probably 581 00:32:32,040 --> 00:32:34,360 Speaker 1: going to have to get used to this. UM. But 582 00:32:34,440 --> 00:32:37,360 Speaker 1: when we look very broadly at the market, and it's 583 00:32:37,400 --> 00:32:40,240 Speaker 1: incredible to say this given all of the volatility that 584 00:32:40,280 --> 00:32:42,400 Speaker 1: we've seen over the last couple of months, but when 585 00:32:42,440 --> 00:32:45,440 Speaker 1: we look at the market today, it feels about fairly valued. 586 00:32:45,920 --> 00:32:48,120 Speaker 1: And one way that we look at it is, you know, 587 00:32:48,160 --> 00:32:51,200 Speaker 1: on purely evaluation basis, if you compare where we are 588 00:32:51,240 --> 00:32:55,040 Speaker 1: today to a very long term historical average, we look expensive. 589 00:32:55,640 --> 00:32:58,200 Speaker 1: But that if you isolate those periods in history where 590 00:32:58,240 --> 00:33:01,320 Speaker 1: inflation is low and stable as it is today, we 591 00:33:01,400 --> 00:33:04,560 Speaker 1: look about in line with those periods, so that could 592 00:33:04,640 --> 00:33:07,320 Speaker 1: mean that that likely means going forward, we can expect 593 00:33:07,320 --> 00:33:10,360 Speaker 1: stock returns to be about mid single digits, in line 594 00:33:10,400 --> 00:33:13,560 Speaker 1: with near term earnings growth. Um. But it feels like 595 00:33:13,560 --> 00:33:17,840 Speaker 1: we're about where we should be. So that's kind of 596 00:33:17,840 --> 00:33:20,720 Speaker 1: an amazing place to be here. And I was about 597 00:33:20,760 --> 00:33:25,080 Speaker 1: to stay June, but it's actually July. So what's an 598 00:33:25,120 --> 00:33:28,160 Speaker 1: investor to do? I mean, I I look at this, 599 00:33:28,240 --> 00:33:31,080 Speaker 1: you know, both from a professional perspective, but also as 600 00:33:31,080 --> 00:33:32,800 Speaker 1: a guy who as a four oh one k who 601 00:33:32,880 --> 00:33:35,880 Speaker 1: you know, sort of watched everything really plummet and then 602 00:33:35,920 --> 00:33:39,560 Speaker 1: come back. But I'm still worried because I see the 603 00:33:39,640 --> 00:33:43,920 Speaker 1: headlines and everything around the virus as well, you know, 604 00:33:44,000 --> 00:33:48,920 Speaker 1: I see governors and mayors being very very cautious. Uh, 605 00:33:48,960 --> 00:33:51,000 Speaker 1: and yet I see a market that's like to do 606 00:33:51,000 --> 00:33:55,600 Speaker 1: to do? Here we go? So what do you do? Yeah? 607 00:33:55,720 --> 00:33:58,800 Speaker 1: And so I think one very interesting lesson that we've 608 00:33:58,840 --> 00:34:01,240 Speaker 1: had during this downturn. And remember, like we've had a 609 00:34:01,240 --> 00:34:03,920 Speaker 1: recession in a bear market in the last couple of rods. 610 00:34:04,000 --> 00:34:07,320 Speaker 1: It's prettyful. But one lesson that I took away from 611 00:34:07,320 --> 00:34:10,480 Speaker 1: that is that this downturn was in many ways very typical. 612 00:34:10,960 --> 00:34:14,400 Speaker 1: So the speed at which it unfolded was very atypical. 613 00:34:14,600 --> 00:34:17,040 Speaker 1: What normally takes months or years took weeks. So it's 614 00:34:17,040 --> 00:34:19,000 Speaker 1: been very hard to kind of get our arms around that. 615 00:34:19,600 --> 00:34:22,640 Speaker 1: But during the downturn, we had risk assets like stocks 616 00:34:22,640 --> 00:34:25,240 Speaker 1: and hay yield greatly under perform and we had bonds 617 00:34:25,239 --> 00:34:27,680 Speaker 1: that did a really great job buffering during that period. 618 00:34:28,160 --> 00:34:31,040 Speaker 1: And then as the market started to to to re 619 00:34:31,480 --> 00:34:35,520 Speaker 1: um to re accelerate, we had the reverse of that. So, 620 00:34:36,040 --> 00:34:38,319 Speaker 1: like a lot of these sorts, like classic lessons that 621 00:34:38,360 --> 00:34:41,319 Speaker 1: individual investors should have, I think we're the right ones. 622 00:34:41,480 --> 00:34:43,800 Speaker 1: So you need to have a diverse, fied portfolio. You 623 00:34:43,880 --> 00:34:46,560 Speaker 1: might be all really excited about stocks, but they're gonna 624 00:34:46,560 --> 00:34:49,560 Speaker 1: be periods when stocks are going to greatly underperform um 625 00:34:49,640 --> 00:34:51,600 Speaker 1: and so it's really best to have a mix of both. 626 00:34:52,000 --> 00:34:54,200 Speaker 1: You sound I just want to break in. You sound 627 00:34:54,200 --> 00:34:56,640 Speaker 1: fairly enthusiastic, and I just do wonder we're going to 628 00:34:56,719 --> 00:35:00,279 Speaker 1: head into another earning cycle. Um, what do we need 629 00:35:00,360 --> 00:35:04,600 Speaker 1: to hear when companies report that support the bounce back 630 00:35:04,640 --> 00:35:08,319 Speaker 1: that we've seen in equity so far? Yeah, And it's 631 00:35:08,360 --> 00:35:10,400 Speaker 1: interesting because even just this morning we got some I 632 00:35:10,560 --> 00:35:14,400 Speaker 1: s M manufacturing data that was quite optimistic, you know, 633 00:35:14,719 --> 00:35:16,880 Speaker 1: coming in at the headline number, coming in at fifty 634 00:35:16,920 --> 00:35:19,400 Speaker 1: two point six UM. This tends to be a pretty 635 00:35:19,440 --> 00:35:21,960 Speaker 1: good leading leading indicator for the next couple of months. 636 00:35:22,320 --> 00:35:25,080 Speaker 1: And also some more contemporaneous data that we've seen in 637 00:35:25,200 --> 00:35:28,160 Speaker 1: terms of UM people getting out on the road, more 638 00:35:28,440 --> 00:35:31,719 Speaker 1: consumer spending. So I think what we're just gonna want 639 00:35:31,760 --> 00:35:34,520 Speaker 1: to see is more on the ground data confirming that, 640 00:35:35,000 --> 00:35:37,839 Speaker 1: you know, people are indeed starting to open their wallets more, 641 00:35:38,400 --> 00:35:40,880 Speaker 1: some people are getting back to work. There are obviously 642 00:35:40,920 --> 00:35:43,160 Speaker 1: some areas of the economy that are continued to go 643 00:35:43,239 --> 00:35:45,640 Speaker 1: and continue to be really challenged. You know, sing bars 644 00:35:45,680 --> 00:35:48,000 Speaker 1: are probably going to be really challenged for quite some time. 645 00:35:48,480 --> 00:35:52,160 Speaker 1: But other areas, like technology are able to operate pretty 646 00:35:52,200 --> 00:35:54,880 Speaker 1: well remotely. I mean, my business, everybody's at home and 647 00:35:54,920 --> 00:35:57,239 Speaker 1: we're just as productive as we were. So not to 648 00:35:57,239 --> 00:35:59,399 Speaker 1: say that there aren't challenges, but I think we're gonna 649 00:35:59,400 --> 00:36:02,319 Speaker 1: want to hear from companies that they're continuing to kind 650 00:36:02,320 --> 00:36:06,319 Speaker 1: of get back to a state of normal. So, Kara, 651 00:36:06,719 --> 00:36:10,080 Speaker 1: if you can generalize, what's the tone of the calls 652 00:36:10,160 --> 00:36:13,160 Speaker 1: that you're getting from clients as you talk to them, 653 00:36:13,200 --> 00:36:15,920 Speaker 1: how are they feeling? Does it depend on where they 654 00:36:15,960 --> 00:36:20,440 Speaker 1: are geographically, like what's the tone from them? Yeah, it's 655 00:36:20,560 --> 00:36:23,440 Speaker 1: very interesting because throughout this period I will say that 656 00:36:23,480 --> 00:36:28,080 Speaker 1: by and large, our clients felt okay, which again it's 657 00:36:28,120 --> 00:36:30,759 Speaker 1: remarkable given what we've been through. And I think there 658 00:36:30,800 --> 00:36:33,600 Speaker 1: are a couple of reasons for that. One is, you know, 659 00:36:33,640 --> 00:36:37,840 Speaker 1: I firmly believe that an investment portfolio, it should be 660 00:36:37,880 --> 00:36:40,600 Speaker 1: constructed in the context of a financial plan. We have 661 00:36:40,680 --> 00:36:42,840 Speaker 1: to know what's important to our clients in order to 662 00:36:42,920 --> 00:36:46,319 Speaker 1: build that plan for them. So what that means is 663 00:36:46,320 --> 00:36:49,080 Speaker 1: that we talk a lot about long term goals, about 664 00:36:49,400 --> 00:36:52,520 Speaker 1: you know, margin of error, and even though we had 665 00:36:52,560 --> 00:36:55,480 Speaker 1: a significant downturn in the market, our clients knew that 666 00:36:55,520 --> 00:36:57,480 Speaker 1: they were still on track to meet those goals. And 667 00:36:57,480 --> 00:37:01,279 Speaker 1: that's really key to sit through volatility, I have to say. 668 00:37:01,320 --> 00:37:03,480 Speaker 1: I mean that has been a point of comfort for 669 00:37:03,480 --> 00:37:05,560 Speaker 1: me at least so far as like you got like, 670 00:37:05,640 --> 00:37:07,279 Speaker 1: you know, you sort of like squinter your eyes a 671 00:37:07,280 --> 00:37:09,200 Speaker 1: little bit, like you brace yourself and you look at 672 00:37:09,200 --> 00:37:12,840 Speaker 1: the formumday you're like, okay, like maybe you know, maybe 673 00:37:12,840 --> 00:37:15,560 Speaker 1: we're gonna be okay to all of this. Yeah, amazing, 674 00:37:15,800 --> 00:37:18,080 Speaker 1: all right, Kara Murphy. Great to hear your voice. Good 675 00:37:18,160 --> 00:37:21,400 Speaker 1: luck down in Dallas, especially at what is certainly an 676 00:37:21,440 --> 00:37:24,720 Speaker 1: uncertain time there in Texas. Kara Murphy is chief investment 677 00:37:24,719 --> 00:37:27,920 Speaker 1: Officer for Goldman Sachs Personal Financial Management, joining us on 678 00:37:27,960 --> 00:37:30,520 Speaker 1: the phone from the Big d. Thanks so much for 679 00:37:30,560 --> 00:37:33,800 Speaker 1: listening to Bloomberg Business Week. Download the podcast on iTunes, Southcloud, 680 00:37:33,840 --> 00:37:36,640 Speaker 1: Bloomberg dot com, or wherever you get your podcasts. And 681 00:37:36,680 --> 00:37:38,600 Speaker 1: of course you can always listen to our radio show 682 00:37:38,600 --> 00:37:41,359 Speaker 1: at two pm Eastern on Bloomberg Radio, or watch us 683 00:37:41,360 --> 00:37:43,680 Speaker 1: on YouTube by searching Bloomberg Global News