1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg PENL podcast. I'm Paul swing you 2 00:00:05,360 --> 00:00:07,760 Speaker 1: along with my co host Lisa Brahmas. Each day we 3 00:00:07,880 --> 00:00:10,399 Speaker 1: bring you the most noteworthy and useful interviews for you 4 00:00:10,520 --> 00:00:12,640 Speaker 1: and your money, whether at the grocery store or the 5 00:00:12,640 --> 00:00:15,960 Speaker 1: trading floor. Find a Bloomberg Penl podcast on Apple podcast 6 00:00:16,120 --> 00:00:18,040 Speaker 1: or wherever you listen to podcasts, as well as at 7 00:00:18,079 --> 00:00:21,919 Speaker 1: Bloomberg dot com. Jonathan Farroh speaking with Larry Cudlow, chief 8 00:00:22,160 --> 00:00:25,680 Speaker 1: economist to President Trump, on a wide ranging interview, talking 9 00:00:26,239 --> 00:00:31,000 Speaker 1: about jobs, but also talking about trade and the implications there. Uh, 10 00:00:31,040 --> 00:00:33,239 Speaker 1: and I want to really home in there on that. 11 00:00:33,440 --> 00:00:35,440 Speaker 1: And we have our own car Acadana still with us 12 00:00:35,880 --> 00:00:38,840 Speaker 1: listening to the interview alongside US chief US economist for 13 00:00:39,080 --> 00:00:42,080 Speaker 1: Bloomberg Economics. I just, real quick want to get your 14 00:00:42,120 --> 00:00:47,120 Speaker 1: reaction to Larry Cudlow's response on whether the US is 15 00:00:47,320 --> 00:00:50,520 Speaker 1: less incentivized to come to some sort of trade deal 16 00:00:50,600 --> 00:00:52,960 Speaker 1: with China based on the strength that we're seeing in 17 00:00:53,000 --> 00:00:55,600 Speaker 1: the U. S economy, especially since we're not necessarily seeing 18 00:00:55,640 --> 00:00:58,360 Speaker 1: commends or at strength in the Chinese economy. Well, I 19 00:00:58,360 --> 00:01:01,400 Speaker 1: think if we look back over the last two months 20 00:01:01,480 --> 00:01:05,160 Speaker 1: or so, we can see that the most progress in 21 00:01:05,200 --> 00:01:08,319 Speaker 1: trade talks occurred during periods where the market was down, 22 00:01:08,400 --> 00:01:12,319 Speaker 1: the economic tone was negative. You know, there were questions about, 23 00:01:12,920 --> 00:01:15,000 Speaker 1: you know, how weak the U. S economy actually was. 24 00:01:15,080 --> 00:01:18,160 Speaker 1: Certainly China continues to slow, so they have incentive to 25 00:01:18,200 --> 00:01:20,920 Speaker 1: come to the table. For the US when we've been 26 00:01:20,959 --> 00:01:23,040 Speaker 1: in periods of an upmarket and an up tone in 27 00:01:23,080 --> 00:01:26,040 Speaker 1: the data, Uh, the trade negotiations have been that much 28 00:01:26,080 --> 00:01:30,399 Speaker 1: more cantankerous. And Larry was very cautious, uh, not to 29 00:01:30,720 --> 00:01:33,679 Speaker 1: provide any direction to things. And Jonathan is rightly asking, 30 00:01:34,080 --> 00:01:37,319 Speaker 1: we really have two levels in the trade talks. One was, uh, 31 00:01:37,440 --> 00:01:40,640 Speaker 1: do we pick up where we were in October when 32 00:01:40,880 --> 00:01:45,959 Speaker 1: the tariffs were due to go up to or uh, 33 00:01:46,080 --> 00:01:49,160 Speaker 1: is October just ancient history. In the next step, if 34 00:01:49,200 --> 00:01:52,160 Speaker 1: things deteriorate, would be the December fifteen tariffs, which are 35 00:01:52,200 --> 00:01:55,080 Speaker 1: on about a hundred and fifty six billion of products, 36 00:01:55,440 --> 00:01:58,440 Speaker 1: many which are consumer goods and things of that nature. 37 00:01:58,480 --> 00:02:01,200 Speaker 1: And Larry really didn't and to provide guidance in that 38 00:02:01,800 --> 00:02:04,560 Speaker 1: direction at all, and instead only talked about the potential 39 00:02:05,040 --> 00:02:07,680 Speaker 1: for a phase one deal just to put some numbers 40 00:02:07,680 --> 00:02:12,200 Speaker 1: around that. Very briefly, if we add dusted off October 41 00:02:12,560 --> 00:02:16,480 Speaker 1: UH and pending December tariffs together that price tag is 42 00:02:16,639 --> 00:02:21,080 Speaker 1: greater than everything put in place in So we're not 43 00:02:21,080 --> 00:02:25,120 Speaker 1: talking peanuts here. This is a very consequential levers that 44 00:02:25,360 --> 00:02:29,200 Speaker 1: are are looming potentially very close UH in the near 45 00:02:29,320 --> 00:02:33,519 Speaker 1: term UH that could dramatically impact economic outlook. December fift 46 00:02:33,720 --> 00:02:35,720 Speaker 1: that's a key date. Carl Wicked Donna, thanks so much 47 00:02:35,720 --> 00:02:38,120 Speaker 1: for sticking around with this. Carl's the chief US economists 48 00:02:38,480 --> 00:02:41,200 Speaker 1: for Bloomberg Economics. Let's shift gears a little bit talk 49 00:02:41,240 --> 00:02:45,000 Speaker 1: about the global markets, including the energy markets. Big meeting 50 00:02:45,040 --> 00:02:49,120 Speaker 1: just is wrapping up with OPEC in Vienna. Jason Shanker, 51 00:02:49,200 --> 00:02:52,120 Speaker 1: President Prestige Economics. He's also the chair of the Futurist 52 00:02:52,160 --> 00:02:55,160 Speaker 1: Institute and a Bloomberg Opinion contributor. UH. He is in 53 00:02:55,240 --> 00:02:57,200 Speaker 1: Vienna for the OPEC meetings and also joining us here 54 00:02:57,200 --> 00:02:59,919 Speaker 1: in our Bloomberg in Active Broker Studios is John Author's 55 00:03:00,040 --> 00:03:02,480 Speaker 1: and your editor for a Bloomberg Market. So, Jason, let's 56 00:03:02,480 --> 00:03:05,880 Speaker 1: start with you give us your key takeaway from the 57 00:03:05,960 --> 00:03:09,720 Speaker 1: OPEC meetings in Vienna this week. Well, I think there's 58 00:03:09,720 --> 00:03:12,480 Speaker 1: a couple of things. First, is that the group is 59 00:03:12,520 --> 00:03:16,560 Speaker 1: concerned about global growth they're concerned that oil inventories could 60 00:03:16,600 --> 00:03:19,520 Speaker 1: weigh on prices, as we saw the last time there 61 00:03:19,600 --> 00:03:23,760 Speaker 1: was a Chinese manufacturing recession, which happened between the the 62 00:03:24,080 --> 00:03:28,280 Speaker 1: December in middle I think that's a real concern. They're 63 00:03:28,320 --> 00:03:30,640 Speaker 1: looking at the macro, they're trying to come up with 64 00:03:30,720 --> 00:03:33,720 Speaker 1: a price bullish story and keep the inventories under control. 65 00:03:34,040 --> 00:03:37,000 Speaker 1: And I'd say there's extra pressure coming from Saudi Arabia 66 00:03:37,400 --> 00:03:41,360 Speaker 1: as they're running up to an I p O. So 67 00:03:41,480 --> 00:03:45,320 Speaker 1: just wondering whether you think these cuts that are going 68 00:03:45,360 --> 00:03:48,400 Speaker 1: to be implemented are going to make a significant impact 69 00:03:48,520 --> 00:03:51,280 Speaker 1: in pricing. In other words, should we expect oil prices 70 00:03:51,280 --> 00:03:55,800 Speaker 1: to rise? Well, other commodities probably give us a hint 71 00:03:55,800 --> 00:03:58,040 Speaker 1: as to what we might expect. In the last few months, 72 00:03:58,160 --> 00:04:00,840 Speaker 1: copper and alumin have been kind of grad Julie rising 73 00:04:01,200 --> 00:04:03,600 Speaker 1: oil prices could rise a little bit in the first 74 00:04:03,600 --> 00:04:06,880 Speaker 1: half of the year because of the summer driving season. 75 00:04:07,040 --> 00:04:10,960 Speaker 1: Right this we look at the jobs number today, the 76 00:04:11,760 --> 00:04:13,800 Speaker 1: summer driving season in the United States was the big 77 00:04:13,880 --> 00:04:16,159 Speaker 1: driver of global oil prices. Are gonna be the biggest 78 00:04:16,240 --> 00:04:20,080 Speaker 1: driving season in history. People have jobs, people have money. 79 00:04:20,520 --> 00:04:23,440 Speaker 1: The refineries ramp up in Q one Q two, so 80 00:04:23,720 --> 00:04:26,120 Speaker 1: oil prices could see a little bit of upside almost 81 00:04:26,120 --> 00:04:29,640 Speaker 1: regardless of what O Peck does today. At the beginning 82 00:04:29,680 --> 00:04:32,480 Speaker 1: of Jason, I'm glad you brought that up in John, 83 00:04:32,520 --> 00:04:34,920 Speaker 1: I want you to come in here. John, author's about 84 00:04:35,160 --> 00:04:38,039 Speaker 1: the demand side of the picture. How we are seeing 85 00:04:38,120 --> 00:04:41,479 Speaker 1: optimism grow heading into that we're going to see a 86 00:04:41,560 --> 00:04:44,040 Speaker 1: re acceleration of sorts. I'll be a little bit more 87 00:04:44,040 --> 00:04:47,320 Speaker 1: tempered than in the past of the global economy. Do 88 00:04:47,360 --> 00:04:50,400 Speaker 1: you think that the data supports that shift in view? Yes, 89 00:04:51,160 --> 00:04:55,840 Speaker 1: it does support the idea of another reacceleeration after another 90 00:04:56,279 --> 00:04:58,560 Speaker 1: midcycle slow down or whatever you want. School that we 91 00:04:58,600 --> 00:05:03,279 Speaker 1: had one of those u in fifteen sixteen, which at 92 00:05:03,360 --> 00:05:06,880 Speaker 1: that point was the optics certainly were focused on on China. 93 00:05:07,279 --> 00:05:09,599 Speaker 1: It looks as though we're having another one now, which 94 00:05:09,839 --> 00:05:12,560 Speaker 1: we might in time come to blame on Germany and 95 00:05:12,600 --> 00:05:17,480 Speaker 1: the Eurozone. Certainly, German auto manufacturing is in a horrible 96 00:05:17,839 --> 00:05:22,120 Speaker 1: states by its own by its own, by its own standards. 97 00:05:22,360 --> 00:05:25,120 Speaker 1: If you take a look at the latest IM data 98 00:05:25,160 --> 00:05:28,880 Speaker 1: from the beginning of the week, you do see the beginning, 99 00:05:29,440 --> 00:05:34,360 Speaker 1: you know, a nascent restocking boom. New orders got cut back, 100 00:05:34,480 --> 00:05:38,599 Speaker 1: a lot I suspect in large part forget about other 101 00:05:38,640 --> 00:05:40,440 Speaker 1: aspects of demand. But this was another effect of the 102 00:05:40,440 --> 00:05:43,680 Speaker 1: trade war. And the perverse effect is that we're now 103 00:05:43,720 --> 00:05:46,599 Speaker 1: eighteen months on from people putting their new orders on 104 00:05:46,680 --> 00:05:49,599 Speaker 1: hold because they were nervous about the trade war, and 105 00:05:49,600 --> 00:05:53,240 Speaker 1: they've really got to buy something. And the inventories have 106 00:05:53,320 --> 00:05:56,920 Speaker 1: been winding down during the process, so that the chances 107 00:05:57,080 --> 00:06:04,240 Speaker 1: of a re acceleration and another move upwards are quite high. 108 00:06:04,320 --> 00:06:08,280 Speaker 1: Whether that means and therefore an extension for a bit 109 00:06:08,720 --> 00:06:11,920 Speaker 1: of the longest cycle we're in. Whether I'm happily going 110 00:06:11,920 --> 00:06:13,680 Speaker 1: to tell you that we're about to go off on 111 00:06:13,720 --> 00:06:18,240 Speaker 1: another major, major rally is another question. And you can 112 00:06:18,240 --> 00:06:21,279 Speaker 1: also make the loaded comparisons to Night, which is another 113 00:06:21,320 --> 00:06:24,600 Speaker 1: time when the Fed cut rates, when the economy didn't 114 00:06:24,640 --> 00:06:27,480 Speaker 1: look so bad um and the economy did do very 115 00:06:27,520 --> 00:06:29,240 Speaker 1: well for a year or so after that. The market 116 00:06:29,279 --> 00:06:31,279 Speaker 1: didn't unbelievably well for a year or so after that. 117 00:06:31,320 --> 00:06:33,479 Speaker 1: But we know what's happened next. Jason, want to go 118 00:06:33,480 --> 00:06:35,920 Speaker 1: back to you real quickly. There's something news out this morning. 119 00:06:36,080 --> 00:06:38,680 Speaker 1: The Saudia Minister thinks that the Saudi Aramco I p 120 00:06:38,839 --> 00:06:41,440 Speaker 1: O or that company will eventually in perhaps and in 121 00:06:41,480 --> 00:06:44,800 Speaker 1: your term trade above that to trillion dollar market was 122 00:06:44,839 --> 00:06:48,240 Speaker 1: priced earlier this week at one point seven trillion. What's 123 00:06:48,279 --> 00:06:52,719 Speaker 1: the latest talk in Vienna about the Saudi Aramco deal 124 00:06:52,800 --> 00:06:58,359 Speaker 1: was considered a strong success. Well, I'm not an equity analyst, 125 00:06:58,640 --> 00:07:01,039 Speaker 1: but I would say that, you know, it's something that's 126 00:07:01,080 --> 00:07:04,480 Speaker 1: hanging and looming large over the meeting because obviously the 127 00:07:04,560 --> 00:07:08,719 Speaker 1: Saudis would like to sacrifice maybe have the group sacrifice 128 00:07:08,760 --> 00:07:11,880 Speaker 1: a little bit of income, uh to prioritize balance sheet 129 00:07:11,920 --> 00:07:13,680 Speaker 1: as they're looking to do the I p O I mean, yesterday, 130 00:07:13,720 --> 00:07:16,880 Speaker 1: there's a marathon set of meetings, no decision made. If 131 00:07:16,920 --> 00:07:18,480 Speaker 1: a bunch of n O C s were doing I 132 00:07:18,560 --> 00:07:20,920 Speaker 1: p O S in in the next year, you probably 133 00:07:20,920 --> 00:07:23,320 Speaker 1: would have gotten a deal pretty quickly. But that's kind 134 00:07:23,320 --> 00:07:24,600 Speaker 1: of where we're at. And as we look at the 135 00:07:24,640 --> 00:07:27,320 Speaker 1: year ahead, there are some risks because the p m 136 00:07:27,360 --> 00:07:30,880 Speaker 1: I s the Eurozone plus us I s M plus 137 00:07:30,920 --> 00:07:33,960 Speaker 1: scan Chinese manufacturing p m I that's been below a 138 00:07:34,000 --> 00:07:36,160 Speaker 1: hundred fifty, which would be the break even for that 139 00:07:36,360 --> 00:07:39,400 Speaker 1: sum for six consecutive months. And even though folks are 140 00:07:39,440 --> 00:07:42,880 Speaker 1: optimistic about the year ahead, and we've seen that number increase, 141 00:07:43,000 --> 00:07:46,280 Speaker 1: it's still below one fifty, and the prospects of a 142 00:07:46,320 --> 00:07:49,400 Speaker 1: trade deal are still spotty. I mean, we've just heard 143 00:07:49,440 --> 00:07:52,120 Speaker 1: a long interview about that, and it's ended in tears 144 00:07:52,160 --> 00:07:54,560 Speaker 1: in the last two throughout the last two years, and 145 00:07:54,600 --> 00:07:56,520 Speaker 1: in this time it could very well end in tears 146 00:07:56,520 --> 00:07:59,480 Speaker 1: as well. Jason Schenker, thank you so much for joining us. 147 00:07:59,480 --> 00:08:03,640 Speaker 1: He is president of Prestige Economics, also a Bloomberg Opinion contributor, 148 00:08:03,720 --> 00:08:06,720 Speaker 1: joining us from Vienna at the OPEC meetings. And John Authors, 149 00:08:06,720 --> 00:08:08,800 Speaker 1: thanks so much for being with us as well, Senior 150 00:08:08,920 --> 00:08:11,640 Speaker 1: editor for Bloomberg Markets, joining us here in our Bloomberg 151 00:08:11,680 --> 00:08:15,400 Speaker 1: Interactive Brokers studio. On a very busy morning lista with 152 00:08:15,440 --> 00:08:19,480 Speaker 1: a strong job's number, seeing a very strong reaction positive 153 00:08:19,800 --> 00:08:22,120 Speaker 1: just under one percent move in equity indices. Here on 154 00:08:22,160 --> 00:08:38,840 Speaker 1: the back of that news, let's talk a little Facebook here. 155 00:08:38,840 --> 00:08:40,160 Speaker 1: There's a couple of things I want to get to 156 00:08:40,280 --> 00:08:42,800 Speaker 1: with our guest, Sure Overday, here's a technology columnist for 157 00:08:42,840 --> 00:08:46,600 Speaker 1: Bloomberg Opinion, joins us here in our Bloomberg Interactive Broker studio. Sure, 158 00:08:46,600 --> 00:08:48,840 Speaker 1: thanks so much for coming. I want to talk about um, 159 00:08:48,880 --> 00:08:51,280 Speaker 1: you know, uh, maybe coming to New York and increasing 160 00:08:51,280 --> 00:08:52,920 Speaker 1: their presence here, which is very interesting. But I also 161 00:08:52,960 --> 00:08:54,920 Speaker 1: want to get to your column because it's one of 162 00:08:54,960 --> 00:08:58,080 Speaker 1: the greatest headlines I read today. Mark Zuckerberg isn't always 163 00:08:58,120 --> 00:09:02,120 Speaker 1: a colorless automaton. Got to get to that first, all right, 164 00:09:02,160 --> 00:09:04,600 Speaker 1: coming to New York, Big News going to rent a 165 00:09:04,600 --> 00:09:07,160 Speaker 1: whole bunch of space. What's going on there? So at 166 00:09:07,200 --> 00:09:10,280 Speaker 1: least the Wall Street Journal reported that Facebook is talking 167 00:09:10,320 --> 00:09:14,840 Speaker 1: about leasing a very large space here in the fairly 168 00:09:15,080 --> 00:09:18,320 Speaker 1: the former fairly post office building. Um. New Yorkers will 169 00:09:18,320 --> 00:09:22,000 Speaker 1: know this as the former and I guess future home 170 00:09:22,320 --> 00:09:27,520 Speaker 1: of New Jersey Transit and Amtrak. Yeah, hopefully. Um. But 171 00:09:27,600 --> 00:09:30,320 Speaker 1: this is a very large and sort of well known 172 00:09:30,520 --> 00:09:33,600 Speaker 1: building in New York City, and it's just speaks to 173 00:09:33,679 --> 00:09:38,559 Speaker 1: the expansion of large tech companies, notably Google and Facebook, 174 00:09:38,640 --> 00:09:41,480 Speaker 1: into New York from their headquarters in the Bay Area. 175 00:09:42,440 --> 00:09:45,200 Speaker 1: It raises a question. There was another story on the 176 00:09:45,200 --> 00:09:49,520 Speaker 1: Bloomberg talking about tech companies increasingly eyeing New York as 177 00:09:49,559 --> 00:09:53,600 Speaker 1: a as another option in addition to Silicon Valley. Why 178 00:09:53,600 --> 00:09:56,320 Speaker 1: why is New York becoming more of a hub or 179 00:09:56,480 --> 00:10:00,040 Speaker 1: is it for tech companies? So I think there's a 180 00:10:00,080 --> 00:10:02,480 Speaker 1: few things that play here. One of them is that 181 00:10:03,040 --> 00:10:07,559 Speaker 1: UM the large superstar tech companies you know, Facebook, Google, Amazon, 182 00:10:07,679 --> 00:10:12,080 Speaker 1: going down the list, they have just grown and expanded 183 00:10:12,840 --> 00:10:16,360 Speaker 1: you know, revenue and employees both and as they've done so, 184 00:10:16,960 --> 00:10:19,360 Speaker 1: you know, they in some cases have reached the limits 185 00:10:19,440 --> 00:10:21,400 Speaker 1: of expansion in the Bay Area. Although if you go 186 00:10:21,440 --> 00:10:24,319 Speaker 1: to facebooks headquarters in Menlo Park, it basically looks like 187 00:10:24,360 --> 00:10:27,760 Speaker 1: a perennial construction zone. They have like armies of construction 188 00:10:27,760 --> 00:10:30,120 Speaker 1: workers building new buildings, so they're not done there yet. 189 00:10:30,720 --> 00:10:33,720 Speaker 1: I think also these companies realize that not everybody wants 190 00:10:33,760 --> 00:10:35,480 Speaker 1: to live in the Bay Area. Some people want to 191 00:10:35,480 --> 00:10:38,480 Speaker 1: live elsewhere. There's been, you know, an increasing push to 192 00:10:39,000 --> 00:10:41,760 Speaker 1: um letting people work remotely. So if you live in 193 00:10:41,800 --> 00:10:44,880 Speaker 1: Montana and you want to work for Facebook or Airbnb, 194 00:10:45,000 --> 00:10:48,560 Speaker 1: that's increasingly an option UM. And I think there's also 195 00:10:48,600 --> 00:10:52,120 Speaker 1: a phenomenon of tech companies looking for talent in other 196 00:10:52,280 --> 00:10:55,560 Speaker 1: hubs in the United States and elsewhere. So you've seen Seattle, 197 00:10:55,640 --> 00:10:59,160 Speaker 1: for example, being um particularly fertile ground for a lot 198 00:10:59,200 --> 00:11:02,959 Speaker 1: of tech companies who want to associate themselves with people 199 00:11:03,000 --> 00:11:06,240 Speaker 1: coming out of Microsoft or Amazon or the Universe, University 200 00:11:06,280 --> 00:11:09,280 Speaker 1: of Washington or other places where there's high quality tech 201 00:11:09,320 --> 00:11:11,400 Speaker 1: talent in New York as part of that too. So sure, 202 00:11:11,480 --> 00:11:14,520 Speaker 1: let's get to your column here. Um, we've seen a 203 00:11:14,520 --> 00:11:16,520 Speaker 1: lot of Markus Zuckerberg. The public has seen a lot 204 00:11:16,559 --> 00:11:19,600 Speaker 1: of Marcus Zuckerberg increasingly over the last couple of years, 205 00:11:19,640 --> 00:11:23,840 Speaker 1: oftentimes testifying in front of Congress or others. What's your sense, 206 00:11:24,000 --> 00:11:29,160 Speaker 1: your takeaway about him as a spokesperson for the industry. Well, 207 00:11:29,240 --> 00:11:32,520 Speaker 1: I wanted to just point out that there's kind of 208 00:11:32,559 --> 00:11:36,480 Speaker 1: two different Mark Zuckerberg's. Right, there's the Mark Zuckerberg that 209 00:11:36,559 --> 00:11:40,680 Speaker 1: we see in media interviews or on occasions when he 210 00:11:40,720 --> 00:11:44,120 Speaker 1: gives speeches or testifies before Congress. And I think that 211 00:11:44,200 --> 00:11:49,640 Speaker 1: Mark Zuckerberg is a little bit uncomfortable when he's asked 212 00:11:49,840 --> 00:11:54,240 Speaker 1: to talk about issues that are broadly about, you know, 213 00:11:54,320 --> 00:11:57,240 Speaker 1: the role of Internet in the world, and um, the 214 00:11:57,320 --> 00:12:02,880 Speaker 1: nature of human trust and economic development and and Facebook's 215 00:12:02,880 --> 00:12:05,880 Speaker 1: own role in all of those big picture questions. So 216 00:12:06,000 --> 00:12:08,720 Speaker 1: that's the one Mark Zuckerberg. The other Mark Zuckerberg that 217 00:12:08,760 --> 00:12:14,599 Speaker 1: you see less is in private settings or to employees, 218 00:12:14,840 --> 00:12:19,320 Speaker 1: where he's talking I think very confidently and capably about 219 00:12:19,840 --> 00:12:26,760 Speaker 1: strategy and Internet trends, and you know, knee camping competitors metaphorically. Um, 220 00:12:26,800 --> 00:12:28,960 Speaker 1: And I just wanted to point out that there is 221 00:12:29,000 --> 00:12:32,199 Speaker 1: this dichotomy that the Mark Zuckerberg that we often see 222 00:12:32,640 --> 00:12:36,280 Speaker 1: in public is not the same Mark Zuckerberg that people 223 00:12:36,400 --> 00:12:39,520 Speaker 1: know in more private settings. So do you think this 224 00:12:39,600 --> 00:12:43,000 Speaker 1: ought to give investors more confidence in the leadership and 225 00:12:43,120 --> 00:12:47,480 Speaker 1: the understanding that he brings to the company going forward 226 00:12:47,520 --> 00:12:49,480 Speaker 1: in some of the challenges that it faces. I think 227 00:12:49,480 --> 00:12:52,199 Speaker 1: that's right. I mean, look, I don't know. Maybe Mark 228 00:12:52,280 --> 00:12:55,880 Speaker 1: Zuckerberg does not need to prove himself anymore as a 229 00:12:56,000 --> 00:13:00,360 Speaker 1: capable product and business executive. Right the track record of 230 00:13:00,360 --> 00:13:03,240 Speaker 1: Facebook in the last ten years speaks fifteen years, I 231 00:13:03,240 --> 00:13:06,480 Speaker 1: guess since he founded it somewhat speaks for itself. Um. 232 00:13:06,520 --> 00:13:09,439 Speaker 1: But I also point out that, look, the role of 233 00:13:09,480 --> 00:13:13,880 Speaker 1: being a CEO of a superstar tech company is probably 234 00:13:13,960 --> 00:13:17,079 Speaker 1: different than it was five or six years ago. And 235 00:13:17,559 --> 00:13:19,800 Speaker 1: that's not only true for Mark Zuckerberg, but all these 236 00:13:19,800 --> 00:13:22,600 Speaker 1: other companies. As technology and as the Internet play a 237 00:13:22,640 --> 00:13:27,520 Speaker 1: greater role in our lives, in our economies, in our countries, 238 00:13:27,920 --> 00:13:33,480 Speaker 1: in our personal interactions, these people are understandably asked to 239 00:13:33,559 --> 00:13:38,079 Speaker 1: think bigger than just their companies, just their products, um 240 00:13:38,160 --> 00:13:41,480 Speaker 1: and business strategies, and really asked to think about the 241 00:13:41,600 --> 00:13:44,319 Speaker 1: role of the Internet in public life and the world. 242 00:13:44,559 --> 00:13:48,640 Speaker 1: And those are really difficult questions and probably not what 243 00:13:48,800 --> 00:13:53,000 Speaker 1: Mark Zuckerberg anticipated when he started Facebook. Indeed, a lot 244 00:13:53,000 --> 00:13:56,280 Speaker 1: of people also probably a little blindsided by some of 245 00:13:56,320 --> 00:14:01,280 Speaker 1: the transformational natures of these technological advancements. And UH and 246 00:14:01,600 --> 00:14:05,000 Speaker 1: companies share over technology columnist with Bloomberg Opinion, joining us 247 00:14:05,000 --> 00:14:07,800 Speaker 1: here in our Interactive Broker Studios. Thank you so much 248 00:14:07,880 --> 00:14:26,520 Speaker 1: for for that. There are a lot of questions around 249 00:14:26,560 --> 00:14:30,400 Speaker 1: the marijuana industry, namely whether or not the US will 250 00:14:30,480 --> 00:14:32,960 Speaker 1: legalize it on a broad level. In the meantime, you 251 00:14:33,040 --> 00:14:37,200 Speaker 1: have states legalizing the product, which raises a question how 252 00:14:37,240 --> 00:14:40,320 Speaker 1: do you advertise it, especially since it is not legal 253 00:14:40,360 --> 00:14:42,880 Speaker 1: in so many places. Joining us here in our Interactive 254 00:14:42,920 --> 00:14:46,280 Speaker 1: Broker Studios Joshua Otten He has chief executive officer of Ronan, 255 00:14:46,920 --> 00:14:50,080 Speaker 1: which is one of the largest branding agencies for cannabis 256 00:14:50,120 --> 00:14:54,200 Speaker 1: and health help businesses. So, josh we were just talking 257 00:14:54,320 --> 00:14:59,040 Speaker 1: about the perception of the industry and how do you 258 00:14:59,080 --> 00:15:02,520 Speaker 1: first of all, go about marketing a company that is 259 00:15:02,520 --> 00:15:06,360 Speaker 1: not operating in a universally legal field in the United States. Well, 260 00:15:06,400 --> 00:15:08,400 Speaker 1: that's a challenge, right. So when we launched rown in 261 00:15:08,400 --> 00:15:10,520 Speaker 1: about six months ago, our goal was to work with 262 00:15:10,600 --> 00:15:13,480 Speaker 1: emerging brands who are building products and commodities and helping 263 00:15:13,520 --> 00:15:18,160 Speaker 1: them to evolve into really real lifestyle and wellness brands 264 00:15:18,520 --> 00:15:20,640 Speaker 1: and so um, there's a lot of challenges on the 265 00:15:20,680 --> 00:15:24,640 Speaker 1: cannabis space, specifically because you're only selling in specific dispensaries 266 00:15:24,680 --> 00:15:27,080 Speaker 1: and local even in a state like California. You know 267 00:15:27,120 --> 00:15:29,080 Speaker 1: a lot of times you're only operating in Southern California 268 00:15:29,160 --> 00:15:32,360 Speaker 1: parts of southern California. So the challenges how do you 269 00:15:32,400 --> 00:15:35,440 Speaker 1: generate campaigns and advertising that generates an r o I immediately? 270 00:15:35,680 --> 00:15:37,680 Speaker 1: But a lot of times that's short sighted because the 271 00:15:37,720 --> 00:15:40,480 Speaker 1: reality is if you're building a brand that isn't just 272 00:15:40,520 --> 00:15:43,720 Speaker 1: a commodity, you can't just talk about ingredients or strains 273 00:15:43,800 --> 00:15:46,120 Speaker 1: or t H percentages. Those are just what's in it, right, 274 00:15:46,160 --> 00:15:47,760 Speaker 1: So you have to be able to build a brand 275 00:15:47,800 --> 00:15:50,400 Speaker 1: that can communicate the consumers. So it's really a lot 276 00:15:50,400 --> 00:15:53,400 Speaker 1: of content content marketing all the stuff that food and 277 00:15:53,440 --> 00:15:55,880 Speaker 1: beverage does. It's at a slightly smaller scale, but you 278 00:15:55,920 --> 00:15:57,920 Speaker 1: have to take those same steps. Do we have any 279 00:15:58,040 --> 00:16:00,680 Speaker 1: success cases in the busy in this right now, if 280 00:16:00,720 --> 00:16:03,120 Speaker 1: any brand's kind of broken through a little bit and 281 00:16:03,160 --> 00:16:05,320 Speaker 1: how did they do it? Absolutely, I think that if 282 00:16:05,360 --> 00:16:07,600 Speaker 1: you want to kind of categorize them into two different buckets, 283 00:16:07,640 --> 00:16:09,880 Speaker 1: if you want to look at say recreational or adult 284 00:16:09,960 --> 00:16:12,720 Speaker 1: use in lifestyle. Cookies is a great example. Uh, it 285 00:16:12,800 --> 00:16:16,280 Speaker 1: was founded by a rapper named Burner Up in Oakland. 286 00:16:16,280 --> 00:16:19,440 Speaker 1: Cookies is a lifestyle cannabis brand. They have some really 287 00:16:19,480 --> 00:16:22,240 Speaker 1: great genetics, but really it comes down to content. And 288 00:16:22,400 --> 00:16:25,280 Speaker 1: the reason I think they're winning is because they're selling 289 00:16:25,320 --> 00:16:28,120 Speaker 1: tens of millions of dollars worth of merchandise and T 290 00:16:28,280 --> 00:16:30,240 Speaker 1: shirts and hats every year. And that's that's what is 291 00:16:30,280 --> 00:16:32,000 Speaker 1: a brand that's a red bull, right like people who 292 00:16:32,080 --> 00:16:34,400 Speaker 1: are creating a self identity around it. And then on 293 00:16:34,400 --> 00:16:36,280 Speaker 1: the wellness side, you can look at someone like a Doss. 294 00:16:36,360 --> 00:16:38,880 Speaker 1: They're creating these products that have activity groups. Hey, if 295 00:16:38,880 --> 00:16:40,480 Speaker 1: you take this, it will help you sleep. We're going 296 00:16:40,520 --> 00:16:43,400 Speaker 1: to consistently dose you. This will help you relax, this 297 00:16:43,440 --> 00:16:45,400 Speaker 1: will get you excited. So you kind of have these 298 00:16:45,400 --> 00:16:48,880 Speaker 1: two buckets activity group outcome and wellness and then lifestyle. 299 00:16:48,960 --> 00:16:51,320 Speaker 1: So it's almost a kin to a red bull. You know, 300 00:16:51,680 --> 00:16:53,360 Speaker 1: they kind of allude to what it is. Red Bull, 301 00:16:53,400 --> 00:16:55,640 Speaker 1: Monster Energy. You know, you don't really know what's in 302 00:16:55,640 --> 00:16:57,360 Speaker 1: those things, but will give you energy. And then there's 303 00:16:57,360 --> 00:16:59,280 Speaker 1: five Hour Energy. It tells you exactly what it's gonna do. 304 00:16:59,640 --> 00:17:01,480 Speaker 1: And so we I see the people that are taking 305 00:17:01,560 --> 00:17:04,520 Speaker 1: lanes and picking specific verticals are going to have success. 306 00:17:04,880 --> 00:17:07,120 Speaker 1: I got this is this is sort of unprecedented because 307 00:17:07,119 --> 00:17:10,679 Speaker 1: even with alcohol, there are very few alcohol brands that 308 00:17:10,800 --> 00:17:14,840 Speaker 1: advertise getting drunk, right, There's there are very few advertising 309 00:17:14,880 --> 00:17:18,960 Speaker 1: brands that try to sell to that experience of the buzz. 310 00:17:19,400 --> 00:17:23,160 Speaker 1: And yet you know, essentially you don't take marijuana, you don't, 311 00:17:23,160 --> 00:17:26,200 Speaker 1: you don't, you don't smoke up to to just taste 312 00:17:26,200 --> 00:17:28,399 Speaker 1: the flavor, right, I mean it's to get high, So 313 00:17:28,520 --> 00:17:32,240 Speaker 1: you have to be advertising the high and has ever 314 00:17:32,359 --> 00:17:35,400 Speaker 1: been done before? I actually disagree, and I actually take 315 00:17:35,440 --> 00:17:37,600 Speaker 1: I actually look at the food and beverage, alcohol and 316 00:17:37,640 --> 00:17:40,160 Speaker 1: beer as the as the way we should go, because 317 00:17:40,560 --> 00:17:43,320 Speaker 1: alcohol doesn't talk about what their proof is, right. I Mean, 318 00:17:43,520 --> 00:17:45,359 Speaker 1: you go to a tequila bar and there's a thousand 319 00:17:45,400 --> 00:17:47,560 Speaker 1: tequilas and they all have varying degrees of taste, but 320 00:17:47,640 --> 00:17:49,280 Speaker 1: you have your outcome. But you know, if you have 321 00:17:49,359 --> 00:17:51,879 Speaker 1: four shots, no matter what it is, you're gonna go 322 00:17:51,960 --> 00:17:54,600 Speaker 1: home a little loopy. Um. So my point is that 323 00:17:54,720 --> 00:17:57,159 Speaker 1: cannabis brands that are advertising how high they get you 324 00:17:57,520 --> 00:17:59,920 Speaker 1: or their t a chia percentages away from an educational 325 00:18:00,000 --> 00:18:02,120 Speaker 1: sandpoint because you want to know what you're consuming. UM, 326 00:18:02,160 --> 00:18:04,080 Speaker 1: that's not gonna last in the market. That's not the 327 00:18:04,119 --> 00:18:07,280 Speaker 1: point necessarily. Um. Just like it, just like drinking wine isn't. 328 00:18:07,280 --> 00:18:09,200 Speaker 1: The point isn't to get loaded. You can if you 329 00:18:09,280 --> 00:18:11,520 Speaker 1: drink an entire bottle, you're you're gonna be wasted. You're 330 00:18:11,680 --> 00:18:13,359 Speaker 1: but one or two glasses and you're fine. So the 331 00:18:13,400 --> 00:18:15,040 Speaker 1: same thing. If you smoke half a joint or a 332 00:18:15,040 --> 00:18:17,040 Speaker 1: couple of hits, depending on what it is, it's going 333 00:18:17,080 --> 00:18:19,760 Speaker 1: to give you a nice equivalent, um, if you're looking 334 00:18:19,760 --> 00:18:22,320 Speaker 1: for a recreational outcome. So I guess my point is 335 00:18:22,359 --> 00:18:24,800 Speaker 1: I think that the cannas industry can learn a lot 336 00:18:25,119 --> 00:18:29,119 Speaker 1: from from alcohol and beer by not focusing on how 337 00:18:29,240 --> 00:18:31,520 Speaker 1: high it gets you and focusing on lifestyle. And because 338 00:18:31,600 --> 00:18:33,680 Speaker 1: because the end of day, it's a commodity, right, wine 339 00:18:33,760 --> 00:18:35,720 Speaker 1: is wine. Wine is a commodity, it's grapes. What makes 340 00:18:35,720 --> 00:18:37,480 Speaker 1: it not a commodity is when you bottle it, put 341 00:18:37,520 --> 00:18:40,200 Speaker 1: in a really nice bottle and start marketing it. Otherwise 342 00:18:40,400 --> 00:18:43,560 Speaker 1: it's more low or whatever whatever variety it is. So 343 00:18:43,640 --> 00:18:47,040 Speaker 1: it's I'm wondering how you would advertise or market or 344 00:18:47,119 --> 00:18:49,280 Speaker 1: promote your brand because but there's a story out just 345 00:18:49,480 --> 00:18:53,159 Speaker 1: I think today High Times holdings High Times magazines warning 346 00:18:53,160 --> 00:18:55,440 Speaker 1: investors that they may not be able to continue operations 347 00:18:55,480 --> 00:18:57,200 Speaker 1: after they didn't get their I p O off. So 348 00:18:57,680 --> 00:18:59,440 Speaker 1: if I can't, the first thing and the only thing 349 00:18:59,480 --> 00:19:03,000 Speaker 1: that aim to my mind, if I was marketing uh 350 00:19:03,080 --> 00:19:06,080 Speaker 1: a cannabis brand, would be High Times magazine, how what 351 00:19:06,240 --> 00:19:08,520 Speaker 1: I do it? So we were actually launching a network. 352 00:19:08,600 --> 00:19:10,960 Speaker 1: So so we have about a hundred part part of 353 00:19:10,960 --> 00:19:13,240 Speaker 1: our agency engine is that we have a hundred fifty 354 00:19:13,280 --> 00:19:15,680 Speaker 1: hours of original content that I've produced over the last 355 00:19:15,720 --> 00:19:18,120 Speaker 1: three years that has launched. We even have a partnership 356 00:19:18,119 --> 00:19:19,720 Speaker 1: with Viacom in Pluto TV, so they have a t 357 00:19:19,920 --> 00:19:22,119 Speaker 1: C channel. So we have any five or six million 358 00:19:22,119 --> 00:19:24,880 Speaker 1: minutes watched a month, just owned Viacom and distributed about 359 00:19:24,920 --> 00:19:27,760 Speaker 1: fifty million homes. And we're now launching another network that's 360 00:19:27,760 --> 00:19:29,919 Speaker 1: gonna long in January that's going to be in another 361 00:19:30,119 --> 00:19:32,840 Speaker 1: another forty million homes with about a thousand hours. So 362 00:19:33,119 --> 00:19:36,280 Speaker 1: our purview is high times has a very specific audience, right, 363 00:19:36,320 --> 00:19:38,840 Speaker 1: they have in what I call the endemic consumer. These 364 00:19:38,840 --> 00:19:41,720 Speaker 1: are people who are fans. The product is part of 365 00:19:41,720 --> 00:19:43,919 Speaker 1: their self identity. It's not just a product they consume. 366 00:19:44,080 --> 00:19:47,639 Speaker 1: I'm looking for the wider audience. What's the political risk 367 00:19:48,080 --> 00:19:51,960 Speaker 1: of putting this industry in the limelight? I mean, because 368 00:19:52,160 --> 00:19:54,280 Speaker 1: on one hand, you know, if if it sort of 369 00:19:54,480 --> 00:19:57,680 Speaker 1: is within the community that's already devoted to the industry, 370 00:19:57,680 --> 00:19:59,399 Speaker 1: it's one thing. If it's another if it's trying to 371 00:19:59,440 --> 00:20:02,080 Speaker 1: cater to the mat passes. Are you worried about blowback? 372 00:20:02,160 --> 00:20:04,760 Speaker 1: The more visible you make some of these companies um 373 00:20:04,800 --> 00:20:07,159 Speaker 1: personally you know, again not to sound like Gazella, but 374 00:20:07,320 --> 00:20:08,600 Speaker 1: you know, when you look at it, you compare it 375 00:20:08,600 --> 00:20:11,160 Speaker 1: to food and alcohol. I'm not food, alcohol, and and 376 00:20:11,160 --> 00:20:14,280 Speaker 1: and and even tobacco. There are no positive outcomes from 377 00:20:14,320 --> 00:20:16,919 Speaker 1: consuming alcohol, right, I mean, no one's deluding themselves and 378 00:20:16,960 --> 00:20:19,159 Speaker 1: thinking that, you know, having beer and alcoholis has some 379 00:20:19,240 --> 00:20:22,480 Speaker 1: positive health benefit. Red wine, yeah, but that it's like right, 380 00:20:22,560 --> 00:20:24,199 Speaker 1: it comes out and then like two months later you 381 00:20:24,240 --> 00:20:27,520 Speaker 1: guys say it's not so who knows. But but that's 382 00:20:27,520 --> 00:20:29,399 Speaker 1: not the point. We're consenting adults, and so at the 383 00:20:29,480 --> 00:20:31,800 Speaker 1: end of the day, we're consuming a beverage that has 384 00:20:31,840 --> 00:20:36,000 Speaker 1: absolutely been proven to increase domestic violence, have drunk driving deaths, 385 00:20:36,000 --> 00:20:38,520 Speaker 1: all these terrible outcomes. But that's okay. We're consenting adults. 386 00:20:38,520 --> 00:20:40,840 Speaker 1: We consume it. So if you want to compare cannabis 387 00:20:40,880 --> 00:20:43,399 Speaker 1: to you know again, alcohol and the industry, and we 388 00:20:43,480 --> 00:20:45,919 Speaker 1: realized we can't prohibit it just because it has a 389 00:20:45,920 --> 00:20:49,680 Speaker 1: lot of negative side effects, I would absolutely argue cannabis 390 00:20:49,680 --> 00:20:53,560 Speaker 1: has a tenth of those same you know, possible liabilities 391 00:20:53,840 --> 00:20:57,200 Speaker 1: while still allowing for consumers to you know again, consumer 392 00:20:57,240 --> 00:21:00,240 Speaker 1: safe product. The safety issues I'm sure you as I've 393 00:21:00,240 --> 00:21:01,520 Speaker 1: heard of it, right, you have all this sort of 394 00:21:01,520 --> 00:21:03,520 Speaker 1: like oh my god, the CDC came out and all 395 00:21:03,560 --> 00:21:06,240 Speaker 1: this you know what it was the black market, and 396 00:21:06,280 --> 00:21:08,359 Speaker 1: everyone inside the cannabis market knew it. And it was 397 00:21:08,400 --> 00:21:11,800 Speaker 1: frustrating because we knew that it was vitamini ascetate. We 398 00:21:11,880 --> 00:21:14,280 Speaker 1: knew that it was coming from illegal operators. And when 399 00:21:14,280 --> 00:21:16,840 Speaker 1: you have a market like California where two thirds of 400 00:21:16,880 --> 00:21:19,600 Speaker 1: it two three force is still illegal black market and 401 00:21:19,680 --> 00:21:22,120 Speaker 1: you have three forces of the city in California, refusing 402 00:21:22,160 --> 00:21:25,280 Speaker 1: to allow dispensaries and even fighting to allow delivery. All 403 00:21:25,320 --> 00:21:28,840 Speaker 1: you're doing do You're not reducing consumption, reducing access? Josh Houghton, 404 00:21:29,320 --> 00:21:31,639 Speaker 1: really fascinating stuff. Thanks for joining us. Josh Outen, the 405 00:21:31,680 --> 00:21:34,679 Speaker 1: CEO of Ronan based in Culver City, California, joining us 406 00:21:34,680 --> 00:21:37,080 Speaker 1: live here on our Bloomberg Interactive Broker studio talking about 407 00:21:37,080 --> 00:21:56,440 Speaker 1: the cannabis industry. Cooper's out with a very interesting report yesterday. 408 00:21:56,440 --> 00:21:58,840 Speaker 1: They released an eighty four page safety reports seeking to 409 00:21:58,920 --> 00:22:02,480 Speaker 1: quantify the misconduct and deaths that occur on its system 410 00:22:02,480 --> 00:22:05,400 Speaker 1: and argue that its service is safer than alternatives. Let's 411 00:22:05,440 --> 00:22:07,800 Speaker 1: dig into that a little bit with Eric Newcomer. He's 412 00:22:07,840 --> 00:22:10,679 Speaker 1: a startup reporter for Bloomberg News, joining us on the phone. 413 00:22:10,880 --> 00:22:15,440 Speaker 1: So Eric tell us about this report. It's pretty interesting. Yeah, 414 00:22:15,640 --> 00:22:21,800 Speaker 1: So Uber decided to proactively release data on sexual assaults 415 00:22:21,840 --> 00:22:27,280 Speaker 1: and fatalities UH in its cars and basically found that, 416 00:22:27,840 --> 00:22:31,080 Speaker 1: you know, last year there were about three thousand sexual assaults, 417 00:22:31,119 --> 00:22:34,359 Speaker 1: which it defines in behavior ranging from you know, an 418 00:22:34,440 --> 00:22:38,679 Speaker 1: unwanted kiss to rape. And then on the fatality side, 419 00:22:38,720 --> 00:22:43,760 Speaker 1: found about fifty fatalities a year. So this is you know, 420 00:22:44,720 --> 00:22:51,280 Speaker 1: pretty unprecedented transparency for a company to sort of proactively, uh, 421 00:22:51,440 --> 00:22:54,480 Speaker 1: disclose some of the worst behavior on its platform. Yeah, 422 00:22:54,480 --> 00:22:57,119 Speaker 1: and I'm trying to understand how to view this reports. 423 00:22:57,119 --> 00:23:00,760 Speaker 1: On one hand, yes, the transparency is a shift, particularly 424 00:23:00,760 --> 00:23:04,240 Speaker 1: for Uber, which has been accused of being lacking transparency 425 00:23:04,240 --> 00:23:07,679 Speaker 1: and has come under fire from UK regulators in particular. Uh, 426 00:23:07,720 --> 00:23:10,280 Speaker 1: and so this would be a nice departure for them 427 00:23:10,320 --> 00:23:13,480 Speaker 1: on that. On the other hand, three thousands sexual assault claims, 428 00:23:13,840 --> 00:23:16,359 Speaker 1: more than fifty row deaths. How can we even frame 429 00:23:16,400 --> 00:23:18,560 Speaker 1: that in terms of is that worse or better than others? 430 00:23:18,560 --> 00:23:21,320 Speaker 1: Since this is not a normal report to put out. Yeah, 431 00:23:21,400 --> 00:23:25,000 Speaker 1: it's stunning. It's hard to process. I mean Uber tries 432 00:23:25,119 --> 00:23:28,920 Speaker 1: to sort of, you know, position in terms of one 433 00:23:28,960 --> 00:23:31,800 Speaker 1: point three billion trips that took place last year. But 434 00:23:31,840 --> 00:23:33,679 Speaker 1: I think it's going to take time for people to 435 00:23:33,720 --> 00:23:36,760 Speaker 1: compare this. You know, academics are clearly going to pour 436 00:23:36,840 --> 00:23:39,439 Speaker 1: over these numbers and compare them to what, you know, 437 00:23:39,520 --> 00:23:43,240 Speaker 1: subway systems disclosed. But on the side of sexual assaults, 438 00:23:43,240 --> 00:23:47,360 Speaker 1: I mean, it's always been the case that victim advocates 439 00:23:47,359 --> 00:23:51,560 Speaker 1: have believed that cases were under reported, you know, college 440 00:23:52,040 --> 00:23:56,439 Speaker 1: colleges have generally sort of had for reporting, and you know, 441 00:23:56,520 --> 00:23:58,800 Speaker 1: when they put more pressure on students to report, you know, 442 00:23:58,800 --> 00:24:00,960 Speaker 1: those numbers have gone up in that that's been good. 443 00:24:01,000 --> 00:24:02,719 Speaker 1: So so in a lot of these cases, there's this 444 00:24:02,880 --> 00:24:07,040 Speaker 1: tension of wanting more reports because sexual assault is underreported, 445 00:24:07,040 --> 00:24:09,720 Speaker 1: while at the same time wanting to hold you know, 446 00:24:09,720 --> 00:24:14,640 Speaker 1: whether it's colleges or companies or government accountable when when 447 00:24:14,640 --> 00:24:17,880 Speaker 1: these numbers are troubling. So yeah, it's hard I think 448 00:24:18,160 --> 00:24:21,000 Speaker 1: so far to say, you know, where is three thousand. 449 00:24:21,760 --> 00:24:25,160 Speaker 1: We haven't seen lifts numbers, We don't have taxi numbers, 450 00:24:25,200 --> 00:24:27,720 Speaker 1: so so it's I think this is a starting data point. 451 00:24:27,760 --> 00:24:30,080 Speaker 1: We're gonna have to track it over time. It's interesting 452 00:24:30,119 --> 00:24:32,960 Speaker 1: about the in the Bloomberg News report, they said here 453 00:24:32,960 --> 00:24:36,000 Speaker 1: about fifty people have died in uber collisions annually for 454 00:24:36,040 --> 00:24:38,840 Speaker 1: the past two years. That's a rate about half the 455 00:24:38,920 --> 00:24:42,840 Speaker 1: national average for automotive automotive fatalities, that's according to the company. 456 00:24:43,080 --> 00:24:45,440 Speaker 1: So that gives that dynamic a little bit of context 457 00:24:45,520 --> 00:24:47,840 Speaker 1: on the sexual assault eric is it. Did they have 458 00:24:47,880 --> 00:24:51,040 Speaker 1: a sense of you know, sexual assault on the part 459 00:24:51,080 --> 00:24:53,680 Speaker 1: of the driver versus on the part of the passenger 460 00:24:53,720 --> 00:24:58,040 Speaker 1: because I've heard, you know, bad stories about both scenarios. Yeah, so, 461 00:24:58,200 --> 00:25:02,000 Speaker 1: I mean it's our actually pretty even. I think it's 462 00:25:02,640 --> 00:25:07,480 Speaker 1: you know, slightly slightly more allegations against drivers, but but 463 00:25:07,600 --> 00:25:11,199 Speaker 1: overall it's it's very close to even. So both riders 464 00:25:11,200 --> 00:25:15,880 Speaker 1: and drivers, you know, are getting attacked by the other, 465 00:25:16,000 --> 00:25:19,080 Speaker 1: and you know, it's it's important to realize that. I 466 00:25:19,080 --> 00:25:22,119 Speaker 1: think we talk a lot about rider's safety, but you know, 467 00:25:22,240 --> 00:25:25,640 Speaker 1: drivers are inviting a stranger into their car as well. 468 00:25:25,760 --> 00:25:28,119 Speaker 1: It's an important thing to remember that they need to 469 00:25:28,160 --> 00:25:31,000 Speaker 1: be protected. Also, I'm looking right now, Uber shares down 470 00:25:31,000 --> 00:25:33,400 Speaker 1: two point one percent. Was this a mistake to put out? 471 00:25:34,880 --> 00:25:38,120 Speaker 1: You know, yeah, it's it's tough. I think Uber committed 472 00:25:38,160 --> 00:25:40,960 Speaker 1: themselves to this. You know, they said more than a 473 00:25:41,000 --> 00:25:42,720 Speaker 1: year ago, I think that they were going to do this, 474 00:25:43,440 --> 00:25:45,600 Speaker 1: and then they realized how hard it was, you know, 475 00:25:45,760 --> 00:25:48,760 Speaker 1: and have have really sort of agonized over how to 476 00:25:48,800 --> 00:25:51,640 Speaker 1: disclose the data. So it's you know, we'll see over 477 00:25:51,640 --> 00:25:53,639 Speaker 1: the long term if if you know, they want to 478 00:25:53,640 --> 00:25:56,879 Speaker 1: turn around their reputation, you know, dark Houser show you 479 00:25:56,960 --> 00:26:00,159 Speaker 1: the CEO said, you know, transparency is you know, on 480 00:26:00,200 --> 00:26:03,800 Speaker 1: the path to trust basically, So it's a short term harm, 481 00:26:03,920 --> 00:26:06,520 Speaker 1: but and it draws negative attention to them. But I 482 00:26:06,560 --> 00:26:09,760 Speaker 1: think if they want to really be seen as good actor, 483 00:26:09,920 --> 00:26:13,040 Speaker 1: this is the type of disclosure that they need to 484 00:26:13,040 --> 00:26:15,960 Speaker 1: be making. Eric Newcomer, thank you so much for being 485 00:26:16,000 --> 00:26:19,040 Speaker 1: with us. Eric Newcomer is a startup reporter for Bloomberg 486 00:26:19,080 --> 00:26:21,800 Speaker 1: News talking about this report out of Uber. Thanks for 487 00:26:21,800 --> 00:26:24,040 Speaker 1: listening to the Bloomberg P and L podcast. You can 488 00:26:24,040 --> 00:26:26,879 Speaker 1: subscribe and listen to interviews at Apple Podcasts or whatever 489 00:26:26,920 --> 00:26:30,119 Speaker 1: podcast platform you prefer. Paul Sweeney, I'm on Twitter at 490 00:26:30,160 --> 00:26:32,600 Speaker 1: pt Sweeney. I'm Lisa A. Bram Woit's I'm on Twitter 491 00:26:32,680 --> 00:26:35,639 Speaker 1: at Lisa Bramwoits one before the podcast. You can always 492 00:26:35,640 --> 00:26:37,760 Speaker 1: catch us worldwide on Bloomberg Radio