1 00:00:03,120 --> 00:00:07,480 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:09,840 --> 00:00:13,360 Speaker 2: Gen Villa lives in Salinas, California, and she told us 3 00:00:13,400 --> 00:00:16,120 Speaker 2: that a few years ago, when she went into labor 4 00:00:16,160 --> 00:00:19,400 Speaker 2: with her second child, things moved really quickly. 5 00:00:19,800 --> 00:00:22,919 Speaker 1: My water broke in the middle of the night and 6 00:00:23,640 --> 00:00:25,599 Speaker 1: I was like, okay, well, let me take a shour 7 00:00:25,800 --> 00:00:28,560 Speaker 1: and get ready, but my partner's like, no, we got 8 00:00:28,560 --> 00:00:28,720 Speaker 1: to go. 9 00:00:30,160 --> 00:00:32,400 Speaker 2: They got in the car and drove forty five minutes 10 00:00:32,440 --> 00:00:36,120 Speaker 2: north across county lines to a hospital in Santa Cruz. 11 00:00:36,600 --> 00:00:40,600 Speaker 1: My contractions were getting shorter and shorter, and then when 12 00:00:40,640 --> 00:00:43,680 Speaker 1: we arrived they asked how what would been timing them, 13 00:00:43,760 --> 00:00:46,360 Speaker 1: and it was like a couple of minutes. So they 14 00:00:46,640 --> 00:00:49,800 Speaker 1: rushed me into the room and as they were registering 15 00:00:49,840 --> 00:00:52,760 Speaker 1: me in my room, I was giving birth. 16 00:00:53,120 --> 00:00:55,840 Speaker 2: The reason the timing was so tight, the reason Jen 17 00:00:55,960 --> 00:00:58,480 Speaker 2: chose to go to a hospital almost an hour away. 18 00:00:59,280 --> 00:01:02,760 Speaker 2: It's not because it was the closest option. In fact, 19 00:01:03,000 --> 00:01:06,160 Speaker 2: the closest hospital to her home is only about half 20 00:01:06,160 --> 00:01:07,200 Speaker 2: a mile away. 21 00:01:07,680 --> 00:01:10,320 Speaker 1: Like I could probably drive there and get there maybe 22 00:01:10,360 --> 00:01:11,279 Speaker 1: in the same minute. 23 00:01:11,800 --> 00:01:14,080 Speaker 2: The reason Jen and her partner made that middle of 24 00:01:14,120 --> 00:01:19,920 Speaker 2: the night drive came down to money. When Jen gave 25 00:01:19,959 --> 00:01:22,639 Speaker 2: birth in Santa Cruz County. The tab was about eighty 26 00:01:22,640 --> 00:01:25,480 Speaker 2: three hundred dollars, but if she had given birth at 27 00:01:25,520 --> 00:01:28,160 Speaker 2: a hospital in the county where she lives, the cost 28 00:01:28,200 --> 00:01:31,720 Speaker 2: could have been more than forty thousand dollars. Today, on 29 00:01:31,760 --> 00:01:34,800 Speaker 2: the show Bloomberg News Crunch, the data on hospital pricing 30 00:01:34,880 --> 00:01:38,280 Speaker 2: around the country. What they found reveals a new picture 31 00:01:38,360 --> 00:01:41,679 Speaker 2: of just how much healthcare prices can vary, even just 32 00:01:41,720 --> 00:01:45,319 Speaker 2: a few miles apart. I'm Sarah Holder and this is 33 00:01:45,440 --> 00:01:53,320 Speaker 2: big take from Bloomberg News. Gen Via started thinking about 34 00:01:53,360 --> 00:01:56,080 Speaker 2: having a second child after she moved to Salinas. 35 00:01:56,480 --> 00:01:58,000 Speaker 1: Mind you, it was like planned, so I was kind 36 00:01:58,000 --> 00:01:59,920 Speaker 1: of like looking into like when's the beeth time. 37 00:02:00,040 --> 00:02:02,800 Speaker 2: Where's the doctor's She was thinking about who could deliver 38 00:02:02,880 --> 00:02:06,280 Speaker 2: the baby because the obgin she had wasn't in network, 39 00:02:06,400 --> 00:02:08,239 Speaker 2: and Jen knew having a baby with an out of 40 00:02:08,280 --> 00:02:12,880 Speaker 2: network doctor would be expensive. She needed some guidance. Jenn's 41 00:02:12,880 --> 00:02:15,240 Speaker 2: a special education teacher, and so she turned to the 42 00:02:15,240 --> 00:02:17,200 Speaker 2: head of her teachers' union for advice. 43 00:02:17,840 --> 00:02:19,840 Speaker 1: What do I do you know? Like, how do I 44 00:02:19,880 --> 00:02:23,280 Speaker 1: start this? Since I wasn't pregnant yet? She said, like, 45 00:02:23,360 --> 00:02:25,679 Speaker 1: you could you have time to just change your insurance 46 00:02:25,800 --> 00:02:28,960 Speaker 1: is just going to be a lot more if you 47 00:02:29,040 --> 00:02:32,680 Speaker 1: want to have your baby and keep your doctor. And 48 00:02:32,720 --> 00:02:35,520 Speaker 1: I said, okay, so how much more? And then when 49 00:02:35,560 --> 00:02:38,760 Speaker 1: it was like about a thousand more, it's like, I'll drive. 50 00:02:38,800 --> 00:02:42,280 Speaker 2: A thousand dollars more a month. That's how much more. 51 00:02:42,360 --> 00:02:44,360 Speaker 2: Jen says she would have to pay to get a 52 00:02:44,360 --> 00:02:46,639 Speaker 2: health insurance plan that would allow her to get care 53 00:02:46,720 --> 00:02:49,600 Speaker 2: from the hospital closest to her home, and not just 54 00:02:49,680 --> 00:02:52,960 Speaker 2: that hospital. Her insurance wouldn't cover her giving birth at 55 00:02:53,000 --> 00:02:55,320 Speaker 2: any of the three hospitals in her county, which are 56 00:02:55,320 --> 00:02:57,440 Speaker 2: among the most expensive in the country. 57 00:02:57,760 --> 00:02:59,800 Speaker 1: My first reactions like, you gotta be kidding me, are 58 00:02:59,840 --> 00:03:04,520 Speaker 1: you serious? Okay, well, financially, one makes way more sense 59 00:03:04,560 --> 00:03:07,440 Speaker 1: than the other, so I'm gonna do this, But like, 60 00:03:07,560 --> 00:03:10,600 Speaker 1: how dare them? Like how is this okay? Like how 61 00:03:10,680 --> 00:03:14,600 Speaker 1: is okay that I people that work in the hospital, 62 00:03:14,639 --> 00:03:17,600 Speaker 1: I'm teaching your kids, you know, like I'm working to 63 00:03:17,960 --> 00:03:21,720 Speaker 1: better our community as a whole, but I can't use 64 00:03:22,080 --> 00:03:22,840 Speaker 1: the hospital. 65 00:03:23,440 --> 00:03:27,120 Speaker 3: Gen's experience is sort of an extreme situation because of 66 00:03:27,160 --> 00:03:29,600 Speaker 3: the place she lives and the price levels there that 67 00:03:29,639 --> 00:03:30,480 Speaker 3: are so high. 68 00:03:30,680 --> 00:03:33,800 Speaker 2: That's my colleague John Tazzi. He covers all things related 69 00:03:33,840 --> 00:03:35,880 Speaker 2: to the cost of healthcare in the US. 70 00:03:36,000 --> 00:03:39,520 Speaker 3: But everyone in the United States who has commercial insurance 71 00:03:39,560 --> 00:03:42,280 Speaker 3: is sort of exposed to this problem, right. 72 00:03:42,520 --> 00:03:44,800 Speaker 2: John and his colleagues recently got an up close look 73 00:03:44,840 --> 00:03:47,160 Speaker 2: at this problem when they cunched some data on hospital 74 00:03:47,200 --> 00:03:50,120 Speaker 2: pricing collected by a research group called the Rand Corporation, 75 00:03:51,040 --> 00:03:53,640 Speaker 2: and they found pricing disparities like the one gen Via 76 00:03:53,680 --> 00:03:56,520 Speaker 2: described all over the country. 77 00:03:57,200 --> 00:04:02,760 Speaker 3: In New York City, in Texas, in Indiana, pretty much 78 00:04:02,800 --> 00:04:06,720 Speaker 3: everywhere you look where there are multiple hospitals, there are 79 00:04:07,400 --> 00:04:11,560 Speaker 3: lower cost or higher cost options within a certain range. 80 00:04:11,800 --> 00:04:14,040 Speaker 2: In total, John and his team found more than three 81 00:04:14,080 --> 00:04:17,680 Speaker 2: hundred and fifty hospitals that had significantly lower cost competitors 82 00:04:17,800 --> 00:04:19,560 Speaker 2: within just five miles. 83 00:04:19,720 --> 00:04:23,880 Speaker 3: And if patients were willing to travel thirty miles, almost 84 00:04:23,920 --> 00:04:27,640 Speaker 3: half of US hospitals have a significantly less expensive competitor 85 00:04:28,040 --> 00:04:29,120 Speaker 3: within thirty miles. 86 00:04:29,240 --> 00:04:33,440 Speaker 2: So why would it cost thousands more dollars in one 87 00:04:33,480 --> 00:04:36,680 Speaker 2: county and then in another county thirty miles over it 88 00:04:36,680 --> 00:04:37,840 Speaker 2: would be a lot cheaper. 89 00:04:37,920 --> 00:04:38,919 Speaker 3: It's a very good question. 90 00:04:39,640 --> 00:04:40,520 Speaker 2: It's the question. 91 00:04:40,600 --> 00:04:43,080 Speaker 3: It's the question. It's the question of American healthcare. 92 00:04:43,320 --> 00:04:46,080 Speaker 2: Have you talked to hospitals where they're charging more than 93 00:04:46,120 --> 00:04:48,840 Speaker 2: other people nearby, what do they say about their prices? 94 00:04:49,160 --> 00:04:52,920 Speaker 3: Yeah, so, I mean in general, the hospital industry kind 95 00:04:52,960 --> 00:04:56,560 Speaker 3: of says that this variation in and of itself is 96 00:04:56,600 --> 00:04:59,400 Speaker 3: not a problem because hospitals do have different cost structures 97 00:04:59,440 --> 00:05:02,960 Speaker 3: in different of the patients they see. Some of the 98 00:05:02,960 --> 00:05:08,160 Speaker 3: hospitals say that they are financially at risk and that 99 00:05:08,200 --> 00:05:11,080 Speaker 3: they need to you know, they see other hospitals, particularly 100 00:05:11,160 --> 00:05:15,080 Speaker 3: in rural areas, closing, so that they need to make 101 00:05:15,120 --> 00:05:18,840 Speaker 3: sure they are charging a price that will sustain their operations. 102 00:05:19,120 --> 00:05:22,280 Speaker 3: But I think, you know, whenever we hear assertions from 103 00:05:22,320 --> 00:05:28,680 Speaker 3: the industry that they need higher reimbursements from ultimately it's 104 00:05:28,720 --> 00:05:32,360 Speaker 3: all paid for by patients or tax payers, I think 105 00:05:32,360 --> 00:05:35,520 Speaker 3: we should scrutinize claims that we need to pay more 106 00:05:36,160 --> 00:05:37,640 Speaker 3: for what we're getting. 107 00:05:37,960 --> 00:05:40,840 Speaker 2: Well, do the people who end up paying more get 108 00:05:40,839 --> 00:05:41,400 Speaker 2: better care? 109 00:05:42,440 --> 00:05:47,120 Speaker 3: So there is a lot of research trying to understand 110 00:05:47,160 --> 00:05:51,679 Speaker 3: the relationship between price and quality. We should say measuring 111 00:05:51,800 --> 00:05:56,200 Speaker 3: quality and healthcare is pretty challenging in some ways. Some 112 00:05:56,320 --> 00:06:00,479 Speaker 3: hospitals might have like really top quality cardiac care not 113 00:06:00,680 --> 00:06:04,719 Speaker 3: as good quality, or thepedic care, and so I think 114 00:06:04,760 --> 00:06:07,120 Speaker 3: you need to be really kind of clear and specific 115 00:06:07,200 --> 00:06:10,400 Speaker 3: about what you're comparing when you're trying to do that 116 00:06:10,440 --> 00:06:13,680 Speaker 3: sort of analysis. But in general, the answers know that 117 00:06:13,800 --> 00:06:16,960 Speaker 3: higher cost care is not better quality. 118 00:06:17,760 --> 00:06:20,919 Speaker 2: How clear is this to consumers? Do people generally know 119 00:06:21,080 --> 00:06:24,080 Speaker 2: they can get cheaper care as close as a couple 120 00:06:24,120 --> 00:06:24,679 Speaker 2: miles away. 121 00:06:25,240 --> 00:06:32,840 Speaker 3: I think most consumers are largely baffled and confused every 122 00:06:32,880 --> 00:06:38,760 Speaker 3: time they interact with the healthcare system, So as a baseline, 123 00:06:38,760 --> 00:06:39,520 Speaker 3: I would say no. 124 00:06:40,720 --> 00:06:42,560 Speaker 2: Part of the reason why the cost of healthcare can 125 00:06:42,560 --> 00:06:45,120 Speaker 2: be so confusing is that many people don't pay for 126 00:06:45,160 --> 00:06:48,400 Speaker 2: it directly. They pay their insurance company, and then their 127 00:06:48,440 --> 00:06:52,279 Speaker 2: insurance company negotiates the prices with the provider, And for 128 00:06:52,320 --> 00:06:54,480 Speaker 2: a long time, even if you wanted to look up 129 00:06:54,480 --> 00:06:57,120 Speaker 2: how much something would cost at different hospitals, it was 130 00:06:57,200 --> 00:06:57,720 Speaker 2: hard to do. 131 00:06:58,080 --> 00:07:02,560 Speaker 3: Until relatively recently, all these kind of prices and contracts 132 00:07:02,640 --> 00:07:06,040 Speaker 3: were private. They were hidden, they were secret, they were 133 00:07:06,040 --> 00:07:07,800 Speaker 3: not public by default. 134 00:07:08,080 --> 00:07:10,360 Speaker 2: That started to change in recent years due to new 135 00:07:10,400 --> 00:07:14,360 Speaker 2: regulations under the Trump and Biden administrations that require hospitals 136 00:07:14,440 --> 00:07:18,400 Speaker 2: to publish their prices. But John Say's compliance has been slow, 137 00:07:18,800 --> 00:07:20,440 Speaker 2: and we're still a long way off from a world 138 00:07:20,520 --> 00:07:23,200 Speaker 2: where it's easy for individual patients to find the most 139 00:07:23,240 --> 00:07:24,160 Speaker 2: affordable care. 140 00:07:24,840 --> 00:07:27,960 Speaker 3: For twenty odd years now, in the US, there's been 141 00:07:28,000 --> 00:07:33,240 Speaker 3: a movement toward trying to make consumers, you know, patients 142 00:07:33,320 --> 00:07:38,720 Speaker 3: people need healthcare into shoppers, consumers who will compare price 143 00:07:38,760 --> 00:07:44,200 Speaker 3: and quality and make the best decisions based on that information. 144 00:07:44,800 --> 00:07:47,760 Speaker 3: There are now various websites and places where you can 145 00:07:47,800 --> 00:07:52,520 Speaker 3: try to compare pricing. I would say it's still really hard, 146 00:07:52,640 --> 00:07:55,560 Speaker 3: and like, particularly for people who are maybe having a 147 00:07:55,560 --> 00:08:00,600 Speaker 3: medical crisis, maybe kind of overwhelmed by other things the time, 148 00:08:01,200 --> 00:08:05,440 Speaker 3: it's a high bar to kind of like ask people 149 00:08:05,480 --> 00:08:08,480 Speaker 3: to do complicated analysis and try to weigh trade offs 150 00:08:08,520 --> 00:08:11,120 Speaker 3: between price and quality, right and like figure out Like, 151 00:08:11,160 --> 00:08:13,960 Speaker 3: it's hard, it's really hard. So I would say, you know, 152 00:08:14,240 --> 00:08:20,000 Speaker 3: even if consumers know that there's potentially other options, trying 153 00:08:20,000 --> 00:08:23,000 Speaker 3: to do that decision making on your own is really challenging. 154 00:08:23,920 --> 00:08:27,040 Speaker 3: We're looking at a part of our economy and a 155 00:08:27,080 --> 00:08:30,160 Speaker 3: part of our lives that we have like designated to 156 00:08:30,840 --> 00:08:33,560 Speaker 3: the market, Unlike a lot of countries have decided that 157 00:08:33,559 --> 00:08:36,800 Speaker 3: we're going to use a market approach to commercial healthcare. 158 00:08:36,840 --> 00:08:39,080 Speaker 3: In the US, and it's not working. 159 00:08:40,240 --> 00:08:43,280 Speaker 2: So we've got this big problem in pricing. What do 160 00:08:43,320 --> 00:08:45,920 Speaker 2: we do about it? After the break, we visit a 161 00:08:45,960 --> 00:08:49,000 Speaker 2: place that has taken steps to get hospital pricing disparities 162 00:08:49,160 --> 00:08:59,240 Speaker 2: under control. Out of all the data John and his 163 00:08:59,280 --> 00:09:01,960 Speaker 2: team analyze, he said, there was one state that's led 164 00:09:02,000 --> 00:09:04,680 Speaker 2: the way on addressing hospital pricing disparities. 165 00:09:04,800 --> 00:09:06,760 Speaker 3: So in some ways, the state of Indiana's kind of 166 00:09:07,000 --> 00:09:09,760 Speaker 3: ground zero for what we're talking about here. 167 00:09:10,000 --> 00:09:13,320 Speaker 2: Back in twenty sixteen, John says, an employer's group called 168 00:09:13,320 --> 00:09:16,760 Speaker 2: the Employer's Form of Indiana got concerned that hospital pricing 169 00:09:16,800 --> 00:09:18,760 Speaker 2: in their state was getting out of hand. 170 00:09:18,760 --> 00:09:21,240 Speaker 3: And they said to some economists that RAND, Hey, can 171 00:09:21,280 --> 00:09:22,719 Speaker 3: you help us understand this. 172 00:09:23,800 --> 00:09:27,360 Speaker 2: RAND that's the research group that collected data on hospital pricing. 173 00:09:28,240 --> 00:09:30,960 Speaker 2: RAND compared what hospitals in the state were charging patients 174 00:09:31,000 --> 00:09:33,760 Speaker 2: with commercial insurance versus what they were getting paid for 175 00:09:33,880 --> 00:09:36,960 Speaker 2: patients on Medicare, and they found that many of the 176 00:09:37,000 --> 00:09:41,320 Speaker 2: hospitals in Indiana were unusually expensive, including the state's largest 177 00:09:41,320 --> 00:09:43,560 Speaker 2: health system, Indiana University Health. 178 00:09:44,040 --> 00:09:46,880 Speaker 3: That kind of led employers in Indiana to be pretty 179 00:09:46,960 --> 00:09:50,400 Speaker 3: upset about what they were paying. They didn't understand why 180 00:09:50,440 --> 00:09:52,920 Speaker 3: they were paying so much, and people in other states 181 00:09:52,960 --> 00:09:55,520 Speaker 3: weren't necessarily paying as much. 182 00:09:55,760 --> 00:09:58,880 Speaker 2: How did prices at Indiana University Health get so high? 183 00:09:59,080 --> 00:10:01,760 Speaker 3: I don't think there's one clear answer. One thing they 184 00:10:01,800 --> 00:10:03,680 Speaker 3: did say is, you know, like a lot of big 185 00:10:03,720 --> 00:10:08,560 Speaker 3: hospital systems, they've made acquisitions in recent years, they've absorbed 186 00:10:08,760 --> 00:10:14,120 Speaker 3: smaller hospitals. Some of those hospitals had existing contracts with insurers, 187 00:10:14,160 --> 00:10:18,040 Speaker 3: so they sort of inherited different prices. But you know, 188 00:10:18,240 --> 00:10:21,800 Speaker 3: I think how they got so high. Again, that's sort 189 00:10:21,800 --> 00:10:24,760 Speaker 3: of the fundamental question of like all of this that 190 00:10:24,840 --> 00:10:28,320 Speaker 3: we don't really have a good answer to, except that 191 00:10:28,400 --> 00:10:31,240 Speaker 3: those are the prices that insurance companies agreed to pay. 192 00:10:33,120 --> 00:10:36,080 Speaker 2: Bloomberg News asked to interview executives from each of the 193 00:10:36,120 --> 00:10:39,520 Speaker 2: fifty hospital systems across the country that Rand identified as 194 00:10:39,520 --> 00:10:43,600 Speaker 2: the most expensive. Indiana University Health was the only one 195 00:10:43,679 --> 00:10:44,200 Speaker 2: that agreed. 196 00:10:44,600 --> 00:10:47,760 Speaker 3: When we talked to the hospital, they didn't dispute that 197 00:10:47,840 --> 00:10:50,920 Speaker 3: this was an issue. They actually said that they're trying 198 00:10:50,960 --> 00:10:55,240 Speaker 3: to make affordability part of their strategy, and they have 199 00:10:55,320 --> 00:10:58,800 Speaker 3: pledged to kind of get their prices in line at 200 00:10:58,880 --> 00:11:02,160 Speaker 3: least with national average is over a five year. 201 00:11:02,080 --> 00:11:06,120 Speaker 2: Period, Indiana University Health pledged to start cutting prices in 202 00:11:06,160 --> 00:11:10,120 Speaker 2: twenty twenty, and since then, ambulance charges have fallen twenty 203 00:11:10,120 --> 00:11:14,120 Speaker 2: four percent, pharmacy services are down by thirty percent, and 204 00:11:14,240 --> 00:11:17,280 Speaker 2: radiology prices are now almost half of what they used 205 00:11:17,280 --> 00:11:20,440 Speaker 2: to be. John says it's a rare example of a 206 00:11:20,480 --> 00:11:24,040 Speaker 2: hospital group responding to pressure to bring their prices down. 207 00:11:24,480 --> 00:11:26,360 Speaker 3: So I think in Indiana you have a story of 208 00:11:26,480 --> 00:11:30,160 Speaker 3: a really engaged group of employers that really put this 209 00:11:30,280 --> 00:11:34,920 Speaker 3: issue on the map with data, They brought it to legislators, 210 00:11:35,200 --> 00:11:38,240 Speaker 3: They kind of made a political issue over hospital prices, 211 00:11:38,880 --> 00:11:42,440 Speaker 3: and that has at least begun to kind of trickle 212 00:11:42,480 --> 00:11:45,920 Speaker 3: into both policy changes but on some market changes where 213 00:11:45,920 --> 00:11:50,600 Speaker 3: we see IU Health responding to some of these concerns. 214 00:11:51,040 --> 00:11:53,160 Speaker 3: So I think the question to watch over the next 215 00:11:53,160 --> 00:11:57,240 Speaker 3: few years is like, first of all, what happens in 216 00:11:57,240 --> 00:12:01,679 Speaker 3: Indiana to overall cops, But then do we start to 217 00:12:01,679 --> 00:12:04,800 Speaker 3: see that kind of nationally right, do more hospitals come 218 00:12:04,840 --> 00:12:07,200 Speaker 3: out and say, hey, we understand there's a problem here 219 00:12:07,559 --> 00:12:11,760 Speaker 3: and we're gonna try and shift some things to address it. 220 00:12:11,920 --> 00:12:16,800 Speaker 3: I think we are seeing this increasingly as a political issue, 221 00:12:16,800 --> 00:12:19,840 Speaker 3: but in terms of like the public pressure on hospitals. 222 00:12:19,880 --> 00:12:22,480 Speaker 3: It's nowhere near like you look at pharma. I mean, 223 00:12:22,640 --> 00:12:26,400 Speaker 3: every politician is talking about drug prices constantly, even though 224 00:12:26,440 --> 00:12:29,600 Speaker 3: we spend far more on hospital care. Right So, I 225 00:12:29,640 --> 00:12:32,320 Speaker 3: think it'll be interesting to watch how this plays out 226 00:12:32,400 --> 00:12:36,200 Speaker 3: nationally over the next few years. John, thanks so much, 227 00:12:36,600 --> 00:12:37,640 Speaker 3: Thanks so much for having me. 228 00:12:39,000 --> 00:12:41,839 Speaker 2: Thanks for listening to Big Take from Bloomberg News. I'm 229 00:12:41,920 --> 00:12:45,679 Speaker 2: Sarah Holder. This episode was produced by David Fox. It 230 00:12:45,720 --> 00:12:48,760 Speaker 2: was edited by Caitlin Kenny and Timinette. It was mixed 231 00:12:48,880 --> 00:12:52,040 Speaker 2: by Blake Maples. It was fact checked by Tiffany Choi. 232 00:12:52,440 --> 00:12:55,840 Speaker 2: Our senior producers are Naomi Shaven and Jilda Decarly. We 233 00:12:55,880 --> 00:12:59,880 Speaker 2: get editorial direction from Elizabeth Ponso. Nicole Beemster Bore is 234 00:13:00,000 --> 00:13:03,800 Speaker 2: our executive producer. Sage Bauman is Bloomberg's head of Podcasts. 235 00:13:04,360 --> 00:13:07,040 Speaker 2: Thanks for tuning in. We'll be back tomorrow.