1 00:00:00,080 --> 00:00:03,240 Speaker 1: It might be hard to imagine, but two years ago 2 00:00:03,400 --> 00:00:07,240 Speaker 1: Bloomberg was not really in the podcast business, and when 3 00:00:07,280 --> 00:00:11,039 Speaker 1: we recorded that first Benchmark, we really didn't know what 4 00:00:11,080 --> 00:00:14,280 Speaker 1: we were doing. We just wanted to produce an intelligent, 5 00:00:14,440 --> 00:00:18,600 Speaker 1: fun show about the global economy, and frankly, we were 6 00:00:18,640 --> 00:00:21,479 Speaker 1: just happy to make a second episode. And now here 7 00:00:21,480 --> 00:00:25,560 Speaker 1: we are nine nine shows later, and boy, what a 8 00:00:25,720 --> 00:00:28,840 Speaker 1: ride it's been. We've talked about all kinds of things 9 00:00:28,840 --> 00:00:32,200 Speaker 1: that affect billions of people around the world. We've interviewed 10 00:00:32,240 --> 00:00:35,920 Speaker 1: everyone from a Nobel Prize winner to a best selling author, 11 00:00:36,440 --> 00:00:40,080 Speaker 1: a senator, a hip hop legend, and even some members 12 00:00:40,120 --> 00:00:43,240 Speaker 1: of our own families. We've journeyed all over the world 13 00:00:43,240 --> 00:00:49,000 Speaker 1: to discuss economic issues, from Europe, the Middle East, to China, Japan, 14 00:00:49,320 --> 00:00:53,600 Speaker 1: and of course Dan's native Australia. And today we're going 15 00:00:53,640 --> 00:00:56,400 Speaker 1: to share with you some of our favorite moments from 16 00:00:56,400 --> 00:00:59,720 Speaker 1: those shows, and we have a couple of special guests too. 17 00:01:00,400 --> 00:01:16,640 Speaker 1: The one hundredth episode of Benchmark starts now. I'm Daniel Moss, 18 00:01:16,959 --> 00:01:20,399 Speaker 1: I cover global economics for Bloomberg View in New York, 19 00:01:20,680 --> 00:01:25,680 Speaker 1: and I'm Scott Landman, an economics editor with Bloomberg in Washington. So, Dan, 20 00:01:25,959 --> 00:01:28,319 Speaker 1: how does it feel to hit the big one hundred. 21 00:01:28,800 --> 00:01:31,319 Speaker 1: It feels good. And one of the things that feels 22 00:01:31,400 --> 00:01:35,800 Speaker 1: particularly good about it is the breadth of people and 23 00:01:35,959 --> 00:01:38,960 Speaker 1: issues we've looked at on the show. And you didn't 24 00:01:38,959 --> 00:01:43,679 Speaker 1: even mention the chap who developed the surfing algorithm to 25 00:01:43,800 --> 00:01:49,280 Speaker 1: determine which coastal communities were benefiting the most from the 26 00:01:49,320 --> 00:01:52,120 Speaker 1: surf industry. You didn't even mention that one. We set 27 00:01:52,120 --> 00:01:54,320 Speaker 1: out to make a show. I think we said right 28 00:01:54,360 --> 00:01:58,480 Speaker 1: at the start, this was not a program about statistics. 29 00:01:58,720 --> 00:02:02,560 Speaker 1: Who wants to listen to fifteen minutes of statistics bor ring? 30 00:02:02,880 --> 00:02:06,800 Speaker 1: And economy is a living, breathing thing, with people and 31 00:02:06,880 --> 00:02:10,200 Speaker 1: companies making decisions every day when to spend, when to 32 00:02:10,320 --> 00:02:13,600 Speaker 1: say And I honestly think we've covered such a range 33 00:02:13,639 --> 00:02:16,400 Speaker 1: of issues that are so far beyond the day to 34 00:02:16,480 --> 00:02:18,920 Speaker 1: day of what people think of as economics, like the 35 00:02:19,000 --> 00:02:23,000 Speaker 1: GDP numbers or the jobs report. We even said that 36 00:02:23,080 --> 00:02:25,640 Speaker 1: GDP numbers were rubbish at one point, did we not. 37 00:02:26,200 --> 00:02:28,800 Speaker 1: We did have an episode all about that, and I 38 00:02:28,840 --> 00:02:31,320 Speaker 1: think that you know, for me, this has definitely provided 39 00:02:31,320 --> 00:02:35,200 Speaker 1: a way too to present people with a different side 40 00:02:35,320 --> 00:02:38,480 Speaker 1: and a more real world side of things that are 41 00:02:38,520 --> 00:02:42,680 Speaker 1: actually happening in the world that have a some connection 42 00:02:43,160 --> 00:02:47,079 Speaker 1: or that we connect in some way to economics. Well, 43 00:02:47,120 --> 00:02:49,920 Speaker 1: a few minutes ago we promised you some special guests. 44 00:02:50,320 --> 00:02:53,720 Speaker 1: Let's bring in someone who was also there at the beginning, 45 00:02:53,960 --> 00:02:58,520 Speaker 1: aki Eto. She left the Benchmark podcast halfway through our 46 00:02:58,600 --> 00:03:02,480 Speaker 1: run to join the Knowledge News team here at Bloomberg 47 00:03:02,680 --> 00:03:06,640 Speaker 1: and his co host of our tech podcast Decrypted Back 48 00:03:06,800 --> 00:03:11,760 Speaker 1: should we call it disrupted? That's certainly one after I'm 49 00:03:11,800 --> 00:03:14,560 Speaker 1: good to be back. Guys. Thanks for coming on, Archie. 50 00:03:14,680 --> 00:03:17,280 Speaker 1: Why don't you tell us a little more about your show. Yeah, 51 00:03:17,320 --> 00:03:20,639 Speaker 1: so we we cover all kinds of different stories from 52 00:03:20,639 --> 00:03:24,240 Speaker 1: the global technology industry, usually something that's a little bit controversial, 53 00:03:24,320 --> 00:03:28,919 Speaker 1: you know, kind of unintended consequences, uncomfortable truths, that kind 54 00:03:28,919 --> 00:03:32,120 Speaker 1: of thing. Um. Yeah, we've been going for almost a 55 00:03:32,200 --> 00:03:36,080 Speaker 1: year now and I've been looking on with pride. Thank you. 56 00:03:36,520 --> 00:03:40,600 Speaker 1: But you know, there is one other person present at 57 00:03:40,600 --> 00:03:45,560 Speaker 1: the creation Tory stillwell, she joins us on the line 58 00:03:45,560 --> 00:03:48,760 Speaker 1: where she's just finished an internship in the office of 59 00:03:48,800 --> 00:03:53,240 Speaker 1: the North Carolina Attorney General. She's heading back to do 60 00:03:53,360 --> 00:03:59,040 Speaker 1: her second year at Yale Law School. Tory. Hey, guys, Hey, Tori, 61 00:03:59,360 --> 00:04:02,000 Speaker 1: it's so right to hear your voice. It's good to 62 00:04:02,040 --> 00:04:06,760 Speaker 1: be bad. How's life after Bloomberg and after the Benchmark podcast? 63 00:04:07,240 --> 00:04:12,280 Speaker 1: Can it even be called life after Bloomberg? I'm not sure. Well, 64 00:04:12,320 --> 00:04:15,040 Speaker 1: we're still waiting for that episode you promised us on 65 00:04:15,120 --> 00:04:19,520 Speaker 1: the best Pizza in New Haven. We'll have to give 66 00:04:19,560 --> 00:04:22,280 Speaker 1: the crowd the whole crew over with the New Haven 67 00:04:22,640 --> 00:04:26,160 Speaker 1: and you can see for yourself. So that brings me 68 00:04:26,200 --> 00:04:28,960 Speaker 1: to one of our favorite moments. And Tori, you were 69 00:04:29,080 --> 00:04:32,920 Speaker 1: instrumental in this. It's the three am wake up call. 70 00:04:33,440 --> 00:04:35,320 Speaker 1: What's it like to get a call in the middle 71 00:04:35,360 --> 00:04:40,159 Speaker 1: of the night saying you've won the Nobel Prize. Angesteton, 72 00:04:40,720 --> 00:04:43,680 Speaker 1: who had just been told he'd won the prize, shared 73 00:04:43,760 --> 00:04:48,000 Speaker 1: that moment with you. That's right. So you didn't think 74 00:04:48,000 --> 00:04:50,039 Speaker 1: it was a prank at least No, well I didn't 75 00:04:50,040 --> 00:04:53,320 Speaker 1: think it was a prank until my friend Torston person 76 00:04:55,160 --> 00:04:58,359 Speaker 1: this is not a prank. I never thought it was 77 00:04:58,360 --> 00:05:00,520 Speaker 1: a prank. Why is he telling me that basting with 78 00:05:00,640 --> 00:05:06,120 Speaker 1: my head? He's right trying to psych you out. It 79 00:05:06,240 --> 00:05:10,839 Speaker 1: is a very funny, very playful guy. Let me turn 80 00:05:10,880 --> 00:05:13,680 Speaker 1: to one that is one of my favorite clips and 81 00:05:14,080 --> 00:05:17,000 Speaker 1: personally for me was it was a proud moment when 82 00:05:17,000 --> 00:05:21,400 Speaker 1: we had ed Duke Booty Fletcher on the show. And 83 00:05:21,520 --> 00:05:26,680 Speaker 1: for the uninitiated, Duke Booty was the principal author of 84 00:05:26,720 --> 00:05:29,719 Speaker 1: the seminal hip hop song The Message, you know, that 85 00:05:29,760 --> 00:05:39,919 Speaker 1: one that goes what most people do not know is 86 00:05:39,960 --> 00:05:42,680 Speaker 1: that he is actually a scholar. He teaches at a 87 00:05:42,760 --> 00:05:47,000 Speaker 1: university in Savannah, Georgia, and he has a lot of 88 00:05:47,080 --> 00:05:52,599 Speaker 1: insight into uh, into the economy, into markets that really 89 00:05:52,920 --> 00:05:56,360 Speaker 1: came through in that song if you listen carefully, and 90 00:05:56,680 --> 00:06:00,200 Speaker 1: is something that we tapped him to talk about on 91 00:06:00,440 --> 00:06:04,599 Speaker 1: our show because I was really piqued in specific by 92 00:06:04,640 --> 00:06:08,920 Speaker 1: the line in that song referring to double digit inflation. 93 00:06:09,040 --> 00:06:12,080 Speaker 1: So clearly his is somebody who knows what he's talking about. 94 00:06:13,040 --> 00:06:15,440 Speaker 1: You who lived during the Clinton era, when home buying 95 00:06:15,480 --> 00:06:19,000 Speaker 1: in America was at its highest, there was a certain 96 00:06:19,040 --> 00:06:21,480 Speaker 1: element people who still couldn't get a mortgages, who still 97 00:06:21,480 --> 00:06:24,000 Speaker 1: didn't have enough money for a down payment, and who 98 00:06:24,080 --> 00:06:27,880 Speaker 1: never got a home. So now those same people, you know, 99 00:06:28,040 --> 00:06:31,400 Speaker 1: even though the mortgage rate was low and you could 100 00:06:31,440 --> 00:06:33,679 Speaker 1: get the morgue, they didn't have the money for morgans. 101 00:06:33,760 --> 00:06:38,240 Speaker 1: So you know, that same destination still there. Well, we 102 00:06:38,320 --> 00:06:40,640 Speaker 1: said right at the get go, this would not be 103 00:06:40,720 --> 00:06:45,159 Speaker 1: a show about statistics, so sure enough when it came 104 00:06:45,200 --> 00:06:50,840 Speaker 1: to discuss manufacturing, who knew it better than Tories? Mom? 105 00:06:50,920 --> 00:06:56,440 Speaker 1: What was that conversation? Like? Right now? I think manufacturing 106 00:06:56,800 --> 00:06:59,440 Speaker 1: is still a part of our lives and and and 107 00:06:59,520 --> 00:07:03,600 Speaker 1: it will for a while. But I think further on 108 00:07:03,760 --> 00:07:06,960 Speaker 1: down the road, stay like by the time maybe Tories 109 00:07:07,400 --> 00:07:11,400 Speaker 1: forty or so, Oh god, maybe when is that exactly 110 00:07:15,520 --> 00:07:22,400 Speaker 1: twenty years or twenty years down the road? I could 111 00:07:22,680 --> 00:07:26,920 Speaker 1: I could see it baton out well, Mom, Yes, thank 112 00:07:26,960 --> 00:07:30,040 Speaker 1: you Tory. How's your mom doing? And what did she 113 00:07:30,120 --> 00:07:34,320 Speaker 1: think of that episode? Deads doing great? I just got 114 00:07:34,360 --> 00:07:38,880 Speaker 1: back from Hickory last weekend. Actually, she loved the episode, 115 00:07:39,080 --> 00:07:41,360 Speaker 1: so I think it was really fantastic for her to 116 00:07:41,400 --> 00:07:43,720 Speaker 1: get to be a part of that with me. I 117 00:07:43,800 --> 00:07:46,000 Speaker 1: have to say that was one of my favorites too. 118 00:07:46,040 --> 00:07:49,480 Speaker 1: And when I began on the show as a co host, 119 00:07:49,560 --> 00:07:53,040 Speaker 1: I also came up with a similar idea for an 120 00:07:53,120 --> 00:07:56,800 Speaker 1: episode about truck drivers and what's happening to them in 121 00:07:56,800 --> 00:07:58,880 Speaker 1: the labor market? Where are they so hard to find? 122 00:07:58,920 --> 00:08:02,240 Speaker 1: What's happening there? And I went very close to home. 123 00:08:02,320 --> 00:08:06,640 Speaker 1: Also for a guest, my uncle Kenny Hahn has been 124 00:08:06,680 --> 00:08:10,520 Speaker 1: a truck driver for over thirty years and he shared 125 00:08:10,600 --> 00:08:13,600 Speaker 1: some of his own thoughts on the business. Let's listen 126 00:08:13,600 --> 00:08:17,720 Speaker 1: to that. Well, the teams have been decimated by by 127 00:08:17,800 --> 00:08:22,120 Speaker 1: the regulation from UM. When I first started driving, there 128 00:08:22,120 --> 00:08:24,520 Speaker 1: was a hundred and sixty two trucking companies teams to 129 00:08:24,560 --> 00:08:27,280 Speaker 1: trucking companies, and we're down to two now. One of 130 00:08:27,320 --> 00:08:29,720 Speaker 1: them is a company I worked for, a BF and 131 00:08:29,760 --> 00:08:32,120 Speaker 1: the other one is Yellow Roadway, which is a combination 132 00:08:32,160 --> 00:08:34,560 Speaker 1: of two major companies that had to combine because they 133 00:08:34,559 --> 00:08:38,880 Speaker 1: weren't making any money. And uh, you know, they can't 134 00:08:38,920 --> 00:08:41,280 Speaker 1: find drivers any more to be teams. Is because the 135 00:08:41,320 --> 00:08:44,600 Speaker 1: pension plans are going into the toilet. And uh, you know, 136 00:08:44,760 --> 00:08:48,520 Speaker 1: my pension in particular has been cut by nineteen hundred 137 00:08:48,520 --> 00:08:52,720 Speaker 1: dollars because they because the pension is going broke. So 138 00:08:53,240 --> 00:08:56,600 Speaker 1: even those were the best jobs in trucking, and those 139 00:08:56,720 --> 00:09:00,280 Speaker 1: jobs stink. So you can only imagine, you know, working 140 00:09:00,280 --> 00:09:02,640 Speaker 1: for companies like J Beyond that want to work you 141 00:09:02,720 --> 00:09:04,600 Speaker 1: like a dog and not pay you anything for for 142 00:09:04,679 --> 00:09:06,920 Speaker 1: your for your efforts, how hard it is for them 143 00:09:07,000 --> 00:09:10,600 Speaker 1: to find drivers you know, I think it's great that 144 00:09:10,679 --> 00:09:14,359 Speaker 1: the Landman family in the Stillwell family were able to contribute. 145 00:09:14,800 --> 00:09:18,520 Speaker 1: I'm pretty sure the Moss family back in Australia has 146 00:09:18,600 --> 00:09:21,760 Speaker 1: no clue. What I do. You know, Dan, speaking of 147 00:09:21,800 --> 00:09:25,240 Speaker 1: your family, I do remember a certain moment when you 148 00:09:25,320 --> 00:09:28,400 Speaker 1: told us all about the origins of your accent. Let's 149 00:09:28,400 --> 00:09:31,920 Speaker 1: take a listen to that clip. So, Dan, I was 150 00:09:32,400 --> 00:09:36,559 Speaker 1: scouring the internet one day when I see this great 151 00:09:36,679 --> 00:09:40,840 Speaker 1: article about how the Australian accent is a result of 152 00:09:40,880 --> 00:09:46,480 Speaker 1: like you guys drinking too much when you first settled Australia, 153 00:09:46,640 --> 00:09:50,199 Speaker 1: and that you guys speak with just two thirds capacity, 154 00:09:50,280 --> 00:09:55,160 Speaker 1: with one third of your like mouth muscles sedentary. There's 155 00:09:55,200 --> 00:09:58,120 Speaker 1: a couple of versions of that. One is that this 156 00:09:58,200 --> 00:10:01,559 Speaker 1: is the kind of English that convicts spoke in the 157 00:10:01,640 --> 00:10:05,720 Speaker 1: late eighteenth century. The other version is when the first 158 00:10:05,800 --> 00:10:09,000 Speaker 1: male convict ship arrived a few days before the first 159 00:10:09,120 --> 00:10:13,440 Speaker 1: female convict ship, they were all going crazy. Then when 160 00:10:13,920 --> 00:10:18,080 Speaker 1: the first female convict ship arrived to join the first 161 00:10:18,280 --> 00:10:22,160 Speaker 1: male convict ship, there was this massive, massive night with 162 00:10:22,360 --> 00:10:26,040 Speaker 1: rum and nothing was ever the same. Again. It's fair 163 00:10:26,080 --> 00:10:29,079 Speaker 1: to say that some of the first European Australians were 164 00:10:29,120 --> 00:10:34,760 Speaker 1: conceived that night. But that's an incredible story. Well, it 165 00:10:34,840 --> 00:10:38,160 Speaker 1: just goes to show you that we sometimes went into 166 00:10:38,280 --> 00:10:41,720 Speaker 1: other topics outside of economics on this show, although you 167 00:10:41,720 --> 00:10:45,280 Speaker 1: can argue that just about anything has a tangential connection 168 00:10:45,360 --> 00:10:48,199 Speaker 1: to that subject. But anyway, I thought it would be 169 00:10:48,240 --> 00:10:50,680 Speaker 1: a good time to bring in a couple of people 170 00:10:50,800 --> 00:10:55,560 Speaker 1: who are usually behind the studio window but are extremely 171 00:10:55,679 --> 00:11:00,360 Speaker 1: integral to getting this program out. Alec McKee is the 172 00:11:00,400 --> 00:11:04,080 Speaker 1: head of podcast for Bloomberg and Sarah Patterson is the 173 00:11:04,120 --> 00:11:07,160 Speaker 1: producer of this podcast. We usually mentioned their names at 174 00:11:07,200 --> 00:11:09,120 Speaker 1: the end, but we thought it would be a good 175 00:11:09,160 --> 00:11:11,320 Speaker 1: idea too if they got to pick a couple of 176 00:11:11,360 --> 00:11:14,560 Speaker 1: their favorite clips on the show. Alec and Sarah, do 177 00:11:14,559 --> 00:11:17,600 Speaker 1: you want to do? You want to share that with us? Hi, everybody, 178 00:11:17,640 --> 00:11:19,679 Speaker 1: it's Alec. It's a privilege to be in the studio 179 00:11:19,760 --> 00:11:22,640 Speaker 1: with you guys instead of behind the glass wall. And 180 00:11:22,720 --> 00:11:26,240 Speaker 1: congratulations everybody. On the one episode, I did want to 181 00:11:26,280 --> 00:11:29,079 Speaker 1: just introduce a clip from a show we just did 182 00:11:29,320 --> 00:11:32,640 Speaker 1: about two months ago, less than two months ago, about 183 00:11:32,760 --> 00:11:36,520 Speaker 1: how we were poised in Asia at the time to 184 00:11:36,800 --> 00:11:38,680 Speaker 1: cover the biggest story of the year, which of course 185 00:11:38,760 --> 00:11:41,360 Speaker 1: is going to be the handover of Hong Kong to China. 186 00:11:42,400 --> 00:11:45,400 Speaker 1: That story that you turned out to be something completely different. 187 00:11:45,760 --> 00:11:49,599 Speaker 1: Let's listen in and and Lee. You were in Bangkok 188 00:11:50,080 --> 00:11:52,200 Speaker 1: a day was it a day or two days after 189 00:11:52,280 --> 00:11:56,440 Speaker 1: the handover? It was the next day, Actually it was July. 190 00:11:58,800 --> 00:12:03,120 Speaker 1: So you know, we were all caught a little bit unprepared. 191 00:12:03,480 --> 00:12:08,120 Speaker 1: We had seen things kind of melting down rather quickly 192 00:12:08,120 --> 00:12:13,479 Speaker 1: in Thailand, but the way when the devaluation was announced 193 00:12:13,480 --> 00:12:16,640 Speaker 1: and they used some up tooth phrasing. But when we 194 00:12:16,679 --> 00:12:19,400 Speaker 1: realized what it was and we sent the first headline, 195 00:12:20,360 --> 00:12:23,000 Speaker 1: you know, we were just like, wow, this is not 196 00:12:23,320 --> 00:12:27,080 Speaker 1: the handover of Hong Kong. This is something big. And 197 00:12:27,160 --> 00:12:31,760 Speaker 1: Sarah Pattison, our long suffering producer, also has a favorite. 198 00:12:32,080 --> 00:12:37,400 Speaker 1: It's when we interviewed a survivor of a Bosnian concentration 199 00:12:37,480 --> 00:12:43,200 Speaker 1: camp and asked him not only about his resettlement in St. Louis, 200 00:12:43,200 --> 00:12:47,240 Speaker 1: but what the election and some of the anti immigration 201 00:12:47,480 --> 00:12:52,440 Speaker 1: further meant to him. I hope I will not get 202 00:12:52,640 --> 00:13:03,200 Speaker 1: misunderstood up that is a hat and mistreating and things 203 00:13:03,320 --> 00:13:06,840 Speaker 1: like that. But a lot of people forget, not just 204 00:13:06,960 --> 00:13:12,199 Speaker 1: in Missouri, United States of America, where is their heritage? 205 00:13:12,280 --> 00:13:18,079 Speaker 1: Coming from Maybe maybe they were not refugee, but they 206 00:13:18,080 --> 00:13:24,480 Speaker 1: are emigrants like youre. And color of the skin or 207 00:13:24,640 --> 00:13:31,200 Speaker 1: heavily accent like mine is doesn't mean anything. Ah, people 208 00:13:31,240 --> 00:13:37,960 Speaker 1: try to hurt you. Maybe they don't even think why. Fortunately, 209 00:13:38,000 --> 00:13:42,640 Speaker 1: here in the city of St. Louis, picture is not bad. 210 00:13:43,760 --> 00:13:49,040 Speaker 1: Picture is pretty good and uh, neighbors try to stick 211 00:13:49,080 --> 00:13:55,600 Speaker 1: together and most of them appreciate what we did here 212 00:13:55,640 --> 00:13:59,120 Speaker 1: in the past years. Having said all of that, is 213 00:13:59,160 --> 00:14:06,600 Speaker 1: there a count you would have rather been resettled in? No? No, 214 00:14:09,400 --> 00:14:14,160 Speaker 1: I didn't know anything about United States, and United States 215 00:14:14,160 --> 00:14:22,600 Speaker 1: definitely look different now and when I come here. But 216 00:14:22,680 --> 00:14:30,000 Speaker 1: if I have to choose, people don't understand what we 217 00:14:30,080 --> 00:14:36,480 Speaker 1: have here. People we this is as country in the world. 218 00:14:38,120 --> 00:14:41,240 Speaker 1: It's tough to top a moment like that. Scott, Where 219 00:14:41,240 --> 00:14:44,080 Speaker 1: should we go for future episodes? Yeah? I agree with 220 00:14:44,120 --> 00:14:46,360 Speaker 1: you it is. It was a very poignant moment. Good 221 00:14:46,360 --> 00:14:49,680 Speaker 1: to leave it there. I mean, as far as the future, 222 00:14:49,360 --> 00:14:52,520 Speaker 1: where can't we go there? There are so many topics 223 00:14:52,560 --> 00:14:55,360 Speaker 1: that we still haven't covered, even even though we we've 224 00:14:55,360 --> 00:14:59,200 Speaker 1: done a hundred episodes. As you know, one topic that 225 00:14:59,320 --> 00:15:02,680 Speaker 1: I often reason for our meetings is looking at German 226 00:15:02,720 --> 00:15:07,000 Speaker 1: manufacturing and how that compares with the efforts to poost 227 00:15:07,040 --> 00:15:09,480 Speaker 1: manufacturing in the United States. And I always get voted 228 00:15:09,520 --> 00:15:12,000 Speaker 1: down at our meetings to pursue that one. So I'm 229 00:15:12,000 --> 00:15:15,200 Speaker 1: really hoping that sometime in the next one episodes we 230 00:15:15,200 --> 00:15:17,880 Speaker 1: can look at that one. I think we should spend 231 00:15:17,880 --> 00:15:21,760 Speaker 1: more time in Asia. The idea that a labor shortage 232 00:15:21,760 --> 00:15:27,040 Speaker 1: in Japan is hurting service at restaurants in Tokyo. That's 233 00:15:27,080 --> 00:15:32,760 Speaker 1: something our listeners would be interested in. Thanks to everyone 234 00:15:33,320 --> 00:15:36,920 Speaker 1: who's worked on the episodes or contributed in some way 235 00:15:37,120 --> 00:15:40,520 Speaker 1: that we didn't get to mention, so we'll mention them now. 236 00:15:41,040 --> 00:15:47,560 Speaker 1: Magnus Henrikson, Liz Smith, Kate Smith, Michael Shane, Jed Sandberg, 237 00:15:47,960 --> 00:15:51,960 Speaker 1: our colleagues around the world who have been on all 238 00:15:52,000 --> 00:15:56,880 Speaker 1: our guests, the staff of Bloomberg Radio one Washington for 239 00:15:57,000 --> 00:16:00,400 Speaker 1: letting us use their booths. Everyone who's can should read 240 00:16:00,440 --> 00:16:04,960 Speaker 1: at the time. Now, family, everybody's who's reviewed the show, 241 00:16:05,080 --> 00:16:08,000 Speaker 1: and especially those who have given us five stars. And 242 00:16:08,080 --> 00:16:10,960 Speaker 1: if you have any ideas for the show, or if 243 00:16:10,960 --> 00:16:13,200 Speaker 1: you want to talk to us or send us an email, 244 00:16:13,360 --> 00:16:16,320 Speaker 1: please get in touch with us. Uh We give our 245 00:16:16,440 --> 00:16:18,520 Speaker 1: Twitter handles at the end of every show. You can 246 00:16:18,600 --> 00:16:22,000 Speaker 1: probably look us up on other websites. We're not really 247 00:16:22,160 --> 00:16:24,720 Speaker 1: that hard to find. Please, we love hearing from you. 248 00:16:24,800 --> 00:16:27,160 Speaker 1: We love getting comments, and keep it coming.