1 00:00:00,080 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:11,960 --> 00:00:15,560 Speaker 2: This is the Bloomberg Surveillance Podcast. I'm Tom Keene along 3 00:00:15,600 --> 00:00:18,960 Speaker 2: with Paul Sweeney. Join us each day for insight from 4 00:00:18,960 --> 00:00:23,160 Speaker 2: the best in economics, finance, investment, and international relations. You 5 00:00:23,160 --> 00:00:26,520 Speaker 2: can also watch the show live on YouTube. Visit the 6 00:00:26,520 --> 00:00:31,280 Speaker 2: Bloomberg Podcast channel on YouTube to see the show weekday 7 00:00:31,280 --> 00:00:34,320 Speaker 2: mornings from seven to ten am Eastern from our global 8 00:00:34,360 --> 00:00:39,000 Speaker 2: headquarters in New York City. Subscribe to the podcast on Apple, Spotify, 9 00:00:39,360 --> 00:00:42,920 Speaker 2: or anywhere else you listen, and always I'm Bloomberg Radio, 10 00:00:43,080 --> 00:00:47,199 Speaker 2: the Bloomberg Terminal and the Bloomberg Business app quote an 11 00:00:47,200 --> 00:00:50,440 Speaker 2: honorative Michael Spence and the laureate and Richard Porters of 12 00:00:50,479 --> 00:00:53,800 Speaker 2: London Business School talking about John Hicks and long ago 13 00:00:53,840 --> 00:00:55,840 Speaker 2: there was a thing that was invented called the Hicks 14 00:00:55,880 --> 00:00:59,240 Speaker 2: Hansen model, which now we call the ISLM model. And 15 00:00:59,280 --> 00:01:03,120 Speaker 2: the bottom line is the financial media completely focuses on 16 00:01:03,200 --> 00:01:07,479 Speaker 2: financial LM dynamics money this you know, the interest rate? 17 00:01:07,520 --> 00:01:10,640 Speaker 2: What's inflation can do? Oh yeah, there's an is curve 18 00:01:10,680 --> 00:01:14,040 Speaker 2: which has to have the ab the real economy on it. 19 00:01:14,360 --> 00:01:18,720 Speaker 2: Rich Clarita, is this fed completely riveted to inflation? Or 20 00:01:18,760 --> 00:01:21,759 Speaker 2: can they perchance look at the American labor economy. 21 00:01:22,880 --> 00:01:24,600 Speaker 3: If you'd ask me that question, which I think you 22 00:01:24,640 --> 00:01:27,800 Speaker 3: did two years ago, I'd say they're focused on inflation 23 00:01:27,840 --> 00:01:31,360 Speaker 3: because it was too damn they're saying, and I believe 24 00:01:31,480 --> 00:01:34,000 Speaker 3: that desk is two sided. I think if we did 25 00:01:34,040 --> 00:01:37,360 Speaker 3: see a sharp sloane in the labor market, they would respond. 26 00:01:37,440 --> 00:01:40,040 Speaker 3: Because inflation is now close enough to target, they can 27 00:01:40,120 --> 00:01:43,160 Speaker 3: afford to be flexible two years ago when inflation was 28 00:01:43,200 --> 00:01:44,080 Speaker 3: six seven percent. 29 00:01:44,440 --> 00:01:47,320 Speaker 2: No, with the fancy PhDs off of Columbia at the 30 00:01:47,360 --> 00:01:51,840 Speaker 2: Echos building, when you quote unquote focus on labor, by 31 00:01:51,920 --> 00:01:55,160 Speaker 2: definition your ex post, you have to wait for the 32 00:01:55,240 --> 00:01:58,920 Speaker 2: labor economy to break. You can't anticipate it at a 33 00:01:58,960 --> 00:02:00,160 Speaker 2: given central bank. 34 00:02:01,280 --> 00:02:06,080 Speaker 3: That's a very fundamental question because ideally central bankers, and 35 00:02:06,120 --> 00:02:08,919 Speaker 3: based on including on my own research with Gertler and Galley, 36 00:02:09,000 --> 00:02:11,440 Speaker 3: in a perfect world, you would anticipate if you saw 37 00:02:11,440 --> 00:02:14,200 Speaker 3: the labor market slowing, you try to get ahead. That's 38 00:02:14,240 --> 00:02:17,840 Speaker 3: forward looking monetary policy, as I learned in practice. However, 39 00:02:18,440 --> 00:02:20,839 Speaker 3: the economy is always changing, and what was a good 40 00:02:20,880 --> 00:02:22,760 Speaker 3: model five years ago it may not be a good 41 00:02:22,800 --> 00:02:25,280 Speaker 3: model now. So there's a real element of risk management 42 00:02:25,960 --> 00:02:27,560 Speaker 3: as well. But I will tell you I got a 43 00:02:27,560 --> 00:02:30,040 Speaker 3: good example of that, tom when during my time there, 44 00:02:30,520 --> 00:02:33,079 Speaker 3: the models were saying, you guys got to keep hiking 45 00:02:33,120 --> 00:02:35,680 Speaker 3: rates because the unemployment rates at four point two percent. 46 00:02:35,720 --> 00:02:38,520 Speaker 3: Our models say inflation's coming. And Jay Palin and I 47 00:02:38,560 --> 00:02:41,080 Speaker 3: the Committee didn't see inflation, so we didn't hike rates 48 00:02:41,080 --> 00:02:43,079 Speaker 3: in twenty nineteen. In fact, we cut a little bit 49 00:02:43,320 --> 00:02:46,120 Speaker 3: so the economy could keep going. So there's risk on 50 00:02:46,200 --> 00:02:48,760 Speaker 3: both sides. And I think good monetary policy needs to 51 00:02:48,760 --> 00:02:50,200 Speaker 3: be nimble and assess that. 52 00:02:50,480 --> 00:02:53,200 Speaker 1: You know, central bank inflation targeting I mean, Richard, I 53 00:02:53,200 --> 00:02:55,720 Speaker 1: mean this is something that you know. I mean, we felt, 54 00:02:55,800 --> 00:02:58,679 Speaker 1: at least in emerging markets that central banks had found religion. 55 00:02:58,720 --> 00:03:01,000 Speaker 1: And here we are, and where's central banks cutting in 56 00:03:01,040 --> 00:03:03,160 Speaker 1: the face of AVT on hold? And my question for 57 00:03:03,240 --> 00:03:05,160 Speaker 1: you is how long can that last? 58 00:03:06,639 --> 00:03:07,600 Speaker 4: This divergence? 59 00:03:08,320 --> 00:03:10,440 Speaker 3: Certainly, I think there was some talk at the beginning 60 00:03:10,440 --> 00:03:12,520 Speaker 3: of the year other countries would not even begin to 61 00:03:12,520 --> 00:03:13,639 Speaker 3: cut until the FED dead. 62 00:03:13,880 --> 00:03:14,760 Speaker 4: I never believe that. 63 00:03:14,800 --> 00:03:18,160 Speaker 3: And I see, we've already seen Sweden, We've seen Switzerlandberg 64 00:03:18,280 --> 00:03:23,560 Speaker 3: almost certainly going to see Madame Leguard and the ECB tomorrow. 65 00:03:23,639 --> 00:03:25,839 Speaker 3: So I think certainly central banks can get those rate 66 00:03:25,880 --> 00:03:29,480 Speaker 3: cuts started, and I think they could proceed much further 67 00:03:29,560 --> 00:03:33,120 Speaker 3: than the FED if their inflation data supports that decision. 68 00:03:33,200 --> 00:03:35,960 Speaker 3: I think the challenge right now in Europe and the 69 00:03:36,040 --> 00:03:40,440 Speaker 3: UK is the inflation data at best is moving sideways 70 00:03:40,480 --> 00:03:44,160 Speaker 3: and some measures is moving up. So that may limit 71 00:03:44,480 --> 00:03:46,200 Speaker 3: the number of cuts they get in this year, not 72 00:03:46,240 --> 00:03:48,600 Speaker 3: because they're focused on the FED, but because inflation is 73 00:03:48,640 --> 00:03:49,320 Speaker 3: not cooperating. 74 00:03:49,320 --> 00:03:50,560 Speaker 1: I mean, you just hit the nail on the head. 75 00:03:50,560 --> 00:03:52,880 Speaker 1: I mean, look, inflation is not cooperating right now with 76 00:03:52,920 --> 00:03:55,840 Speaker 1: the ECB, and Madam Leguard is this is an interesting experiment, Tom, 77 00:03:55,880 --> 00:03:58,080 Speaker 1: I mean can the ECB, I mean it's twenty five BIPs? 78 00:03:58,120 --> 00:03:59,240 Speaker 1: What are they going to cut? The deeper way to 79 00:03:59,240 --> 00:04:02,760 Speaker 1: four seventy five is really going to juice growth in 80 00:04:02,800 --> 00:04:04,800 Speaker 1: the Eurozone? I mean do you think that's enough? Do 81 00:04:04,800 --> 00:04:06,440 Speaker 1: you think they're going to have to continue to go more? 82 00:04:06,640 --> 00:04:08,840 Speaker 1: Or can they cut pause and wait and see what 83 00:04:08,840 --> 00:04:09,360 Speaker 1: the FED does. 84 00:04:11,360 --> 00:04:14,440 Speaker 3: My guest now is that they will pause in the 85 00:04:14,480 --> 00:04:16,839 Speaker 3: sense I don't see them moving at the meeting after 86 00:04:16,880 --> 00:04:18,200 Speaker 3: the June meeting, based. 87 00:04:18,080 --> 00:04:19,800 Speaker 4: Up on the data now. 88 00:04:19,800 --> 00:04:22,400 Speaker 3: In fact, maybe I just a venture there could be 89 00:04:22,440 --> 00:04:26,440 Speaker 3: a little bit of seller's remorse because they really signals 90 00:04:26,480 --> 00:04:29,599 Speaker 3: this rate cut beginning in March, and I think they're 91 00:04:29,640 --> 00:04:31,159 Speaker 3: going to get it in, and I think it makes 92 00:04:31,200 --> 00:04:33,760 Speaker 3: sense to get it in. But I would not extrapolate 93 00:04:33,800 --> 00:04:35,720 Speaker 3: from this that it's going to be every meeting. 94 00:04:35,800 --> 00:04:36,599 Speaker 4: I really do think. 95 00:04:36,640 --> 00:04:39,680 Speaker 3: And I saw a wonderful speech that Madame Leguard gave 96 00:04:40,760 --> 00:04:43,479 Speaker 3: at the ECB Washers where I also spoke in March. 97 00:04:43,560 --> 00:04:45,679 Speaker 3: It was one of her best speeches, and the message 98 00:04:45,720 --> 00:04:48,560 Speaker 3: I got from that is she is very data dependent, 99 00:04:48,600 --> 00:04:51,120 Speaker 3: and if the data doesn't cooperate, I think that's going 100 00:04:51,160 --> 00:04:51,800 Speaker 3: to be a factor. 101 00:04:51,880 --> 00:04:55,880 Speaker 2: Inter jackson whole speech, which recovered, was the same ideas, Okay, 102 00:04:55,880 --> 00:05:00,640 Speaker 2: we're data dependent, but let's have a longer vision. Is well, Clarita, 103 00:05:01,480 --> 00:05:03,320 Speaker 2: I have to have a nerd book of the summer. 104 00:05:03,440 --> 00:05:06,080 Speaker 2: And it's Adam Posen's fault. We'll blame him out of 105 00:05:06,080 --> 00:05:10,480 Speaker 2: Peterson Institute, Nori Sobsfeld and Douger when talking about trade, 106 00:05:10,680 --> 00:05:14,120 Speaker 2: talking about what's out there and all of this, and 107 00:05:14,120 --> 00:05:16,200 Speaker 2: we're going to get Brad Setzer in here, but Brad 108 00:05:16,279 --> 00:05:20,159 Speaker 2: idea deglobalization. The Fed's got to worry about the rest 109 00:05:20,160 --> 00:05:21,679 Speaker 2: of the world as well. 110 00:05:22,160 --> 00:05:24,719 Speaker 4: Do they work within regional trading. 111 00:05:24,320 --> 00:05:27,440 Speaker 2: Blocks now or do we still have a vibrant trade 112 00:05:27,480 --> 00:05:29,480 Speaker 2: economy that can be part. 113 00:05:29,240 --> 00:05:29,960 Speaker 4: Of our growth. 114 00:05:31,279 --> 00:05:34,880 Speaker 3: Well, obviously, globalization, I think it's clear has peaked, and 115 00:05:34,920 --> 00:05:37,159 Speaker 3: so the real question for the next five, ten, fifteen, 116 00:05:37,240 --> 00:05:41,480 Speaker 3: twenty years is what does on sharing, friends, sharing, supply 117 00:05:41,640 --> 00:05:44,480 Speaker 3: chain rethink. How does that translate? But I will say 118 00:05:44,520 --> 00:05:47,719 Speaker 3: it's very relevant tom to monetary policy because in the 119 00:05:47,760 --> 00:05:52,599 Speaker 3: thirty years before the pandemic, globalization made the FED job 120 00:05:52,680 --> 00:05:55,680 Speaker 3: easier because it put dowur rice pressure on goods and 121 00:05:55,720 --> 00:05:58,280 Speaker 3: in labor markets. And if it reverses, that means that 122 00:05:58,400 --> 00:05:59,960 Speaker 3: the margin that does jobs harder. 123 00:06:00,160 --> 00:06:02,200 Speaker 2: Right now, and this goes to the meeting next week, 124 00:06:02,600 --> 00:06:05,520 Speaker 2: you've got a partition of domestic final sales, which are 125 00:06:05,560 --> 00:06:06,520 Speaker 2: actually pretty good. 126 00:06:07,120 --> 00:06:08,560 Speaker 4: But I'm sorry you bolt on a. 127 00:06:08,480 --> 00:06:11,839 Speaker 2: Few other statistics, including trade, and it's a sub two 128 00:06:11,880 --> 00:06:13,680 Speaker 2: percent economy. 129 00:06:13,240 --> 00:06:14,120 Speaker 4: Yeah, which is it? 130 00:06:16,160 --> 00:06:18,560 Speaker 3: My own sense is that we're heading down to around 131 00:06:18,560 --> 00:06:21,039 Speaker 3: a two percent economy, with a risk that we could 132 00:06:21,200 --> 00:06:24,680 Speaker 3: overshoot in the other direction. I think it's too soon 133 00:06:24,720 --> 00:06:27,239 Speaker 3: to towel. But some of the data, including the Bloomberg surprise, 134 00:06:27,320 --> 00:06:31,560 Speaker 3: ind it has moved into negative territory. We saw Atlanta 135 00:06:31,600 --> 00:06:33,760 Speaker 3: FED marked down from four to one to eight in 136 00:06:33,800 --> 00:06:37,640 Speaker 3: the last couple of weeks, so Bear's watching rich. 137 00:06:37,720 --> 00:06:39,600 Speaker 1: We talk about data dependence here in the US, and 138 00:06:39,600 --> 00:06:41,279 Speaker 1: we have two big data points coming out. We have 139 00:06:41,320 --> 00:06:44,080 Speaker 1: the ISM services coming up tomorrow and then followed by payrolls. 140 00:06:44,080 --> 00:06:46,240 Speaker 1: But I think it's those sub components. So I'm asking you, 141 00:06:46,240 --> 00:06:48,560 Speaker 1: what are you really looking at? Within the data? You're 142 00:06:48,560 --> 00:06:50,920 Speaker 1: looking at prices, paid, new orders. In the ISM data 143 00:06:51,000 --> 00:06:55,359 Speaker 1: you looking at you know, liborforce size, average hourly earnings. 144 00:06:55,400 --> 00:06:56,800 Speaker 1: I mean, what are you most focused on over the 145 00:06:56,839 --> 00:06:57,479 Speaker 1: next couple of years? 146 00:06:58,160 --> 00:07:00,440 Speaker 3: At some level, the flip answer would be all all 147 00:07:00,480 --> 00:07:01,000 Speaker 3: the above. 148 00:07:01,120 --> 00:07:02,880 Speaker 4: You know, certainly when. 149 00:07:02,760 --> 00:07:04,960 Speaker 3: You're at the FED, you are looking at everything. But 150 00:07:05,720 --> 00:07:09,000 Speaker 3: I would say that, if I had to prioritize, I'm 151 00:07:09,040 --> 00:07:12,800 Speaker 3: focused more on the cost side of the economy right now, 152 00:07:12,880 --> 00:07:17,680 Speaker 3: in the sense that everyone agrees that the labor market 153 00:07:17,880 --> 00:07:20,680 Speaker 3: needs to adjust to be consistent with the inflation mandate, 154 00:07:20,720 --> 00:07:23,880 Speaker 3: and I would say that the numbers there are are encouraging. 155 00:07:23,920 --> 00:07:27,240 Speaker 3: We've seen a big deceleration and wage inflation that may 156 00:07:27,280 --> 00:07:30,560 Speaker 3: create some political problems for the incumbent, But from the 157 00:07:30,560 --> 00:07:33,480 Speaker 3: Fed's point of view, it's moving wage inflation in the 158 00:07:33,560 --> 00:07:37,400 Speaker 3: direction of consistent with price to ability, unlike, for example, 159 00:07:37,440 --> 00:07:39,239 Speaker 3: what we're seeing in the year zone in the UK. 160 00:07:39,440 --> 00:07:41,680 Speaker 3: So I think labor market and the cost side of 161 00:07:41,720 --> 00:07:44,560 Speaker 3: the economy is what I be focused on. I think 162 00:07:44,600 --> 00:07:46,840 Speaker 3: the demand side will take care of itself. 163 00:07:47,280 --> 00:07:49,800 Speaker 4: I'm out of time. Can you come back, of course 164 00:07:50,960 --> 00:07:51,800 Speaker 4: if we can get you in for. 165 00:07:53,920 --> 00:07:56,080 Speaker 2: Thank you so much, the former Vice chairman of the FED, 166 00:07:56,160 --> 00:08:08,720 Speaker 2: I can't say in a just heard Tom Porcelli of 167 00:08:08,840 --> 00:08:15,080 Speaker 2: PGM mention the QCEW chew on that it's some obscure 168 00:08:15,280 --> 00:08:20,280 Speaker 2: labor report that only Ana Wong would study, and single 169 00:08:20,320 --> 00:08:25,640 Speaker 2: handedly doctor Wang of Bloomberg Economics has changed the zeitgeist, 170 00:08:25,680 --> 00:08:28,360 Speaker 2: turned it as on its head. In the last twenty 171 00:08:28,360 --> 00:08:32,720 Speaker 2: four hours re report with Anawong on a one million 172 00:08:33,000 --> 00:08:36,760 Speaker 2: overshoot on the job economy, the numbers are going to 173 00:08:36,760 --> 00:08:41,959 Speaker 2: be much lower, much more tepid, Anawog, congratulations on forming 174 00:08:42,040 --> 00:08:45,720 Speaker 2: the zeitgeist globally in the last seventy two hours. Is 175 00:08:45,800 --> 00:08:50,000 Speaker 2: your report and the revisions to come of less job 176 00:08:50,080 --> 00:08:54,239 Speaker 2: creation enough to change the FED now or September? 177 00:08:56,160 --> 00:08:59,400 Speaker 5: Well, you know, Tom, it really depends on when that 178 00:08:59,760 --> 00:09:06,840 Speaker 5: the true numbers as released, and the first hint that 179 00:09:06,640 --> 00:09:11,400 Speaker 5: the FED will have of the entire revisions covering April 180 00:09:11,440 --> 00:09:15,120 Speaker 5: twenty twenty three to March of twenty twenty four would 181 00:09:15,120 --> 00:09:20,960 Speaker 5: be just two days before Powell's August Jacksonvile speech. And 182 00:09:21,080 --> 00:09:26,920 Speaker 5: in that report are we expect about a million downward revisions. 183 00:09:26,960 --> 00:09:30,280 Speaker 5: And I think that that would be enough to question 184 00:09:30,480 --> 00:09:34,200 Speaker 5: and challenge their beliefs so far that that in fact 185 00:09:34,920 --> 00:09:38,040 Speaker 5: the labor market's tight and they have time to win 186 00:09:39,440 --> 00:09:42,120 Speaker 5: until things actually weeken. In fact, things have been weakening, 187 00:09:42,920 --> 00:09:45,440 Speaker 5: So I think it's a perfect catalyst for September rate 188 00:09:45,520 --> 00:09:46,280 Speaker 5: cut around. 189 00:09:46,280 --> 00:09:49,480 Speaker 2: This is a birthstaff model. I'm going to suggest, doctor wrong, 190 00:09:49,720 --> 00:09:54,400 Speaker 2: You're not the only fancy smart person who's figured this out. 191 00:09:54,440 --> 00:09:58,120 Speaker 2: Would you suggest the staff at the Echos building is 192 00:09:58,160 --> 00:10:01,800 Speaker 2: figured out much the same as you've written about for 193 00:10:01,800 --> 00:10:03,679 Speaker 2: Bloomberg in the last twenty four hours. 194 00:10:05,280 --> 00:10:08,880 Speaker 5: Well, you know, in the FOBC minutes for the last meeting, 195 00:10:08,960 --> 00:10:13,679 Speaker 5: we saw the feedstaff is currently forecasting unemployment rate to 196 00:10:14,240 --> 00:10:17,480 Speaker 5: fall this year. And the kind of models that can 197 00:10:17,600 --> 00:10:21,920 Speaker 5: generate a prediction of unemployment rate falling this year rather 198 00:10:22,200 --> 00:10:26,040 Speaker 5: as opposed to rising is a top down model using 199 00:10:26,480 --> 00:10:30,720 Speaker 5: VR traditional forecast, which is far far away from the 200 00:10:30,760 --> 00:10:34,640 Speaker 5: approach that would show a one million overstatement of non 201 00:10:34,640 --> 00:10:37,920 Speaker 5: farm payrolls. So it seems to me that the direction 202 00:10:38,120 --> 00:10:40,600 Speaker 5: that the feed staff is focusing putting a lot more 203 00:10:40,640 --> 00:10:44,120 Speaker 5: weight on is taking data at face value and plugging 204 00:10:44,160 --> 00:10:46,880 Speaker 5: it into a top down model as opposed to really 205 00:10:46,960 --> 00:10:51,679 Speaker 5: questioning the measurement issues that's plaguing. See see she took. 206 00:10:51,920 --> 00:10:55,760 Speaker 2: She's a Steve Levitt of freakonomics at Chicago and doctor 207 00:10:55,840 --> 00:10:59,440 Speaker 2: Wong took manners one oh one in economics. She's not 208 00:10:59,520 --> 00:11:02,160 Speaker 2: going to throw the FED under the bus, but she's saying, 209 00:11:02,240 --> 00:11:03,520 Speaker 2: do some bottom up work. 210 00:11:03,360 --> 00:11:05,000 Speaker 1: All the time for our audience. We have to define 211 00:11:05,040 --> 00:11:08,000 Speaker 1: what the QCW is. It's the quarterly Census of Employment 212 00:11:08,080 --> 00:11:11,200 Speaker 1: and Wages. It really does kind of crystallize the difference 213 00:11:11,200 --> 00:11:13,839 Speaker 1: between the establishment and the household surveys. Obviously, non farm 214 00:11:13,920 --> 00:11:17,280 Speaker 1: payrolls Friday Sprints is based on the establishment survey and 215 00:11:18,040 --> 00:11:21,000 Speaker 1: a million jobs. Are you telling me that the establishment 216 00:11:21,040 --> 00:11:23,120 Speaker 1: survey has been overstating the. 217 00:11:23,280 --> 00:11:24,440 Speaker 4: It's eighty thousand more? 218 00:11:24,520 --> 00:11:26,439 Speaker 1: I mean that is nuts, right. Talk to us a 219 00:11:26,440 --> 00:11:28,520 Speaker 1: little bit about what that means and certainly what that 220 00:11:28,559 --> 00:11:29,679 Speaker 1: means for the FED calculus. 221 00:11:31,360 --> 00:11:34,800 Speaker 5: Yeah, you know, you know, Tom, especially you you are 222 00:11:34,880 --> 00:11:39,440 Speaker 5: very close to economic history, and in economic history there's 223 00:11:39,520 --> 00:11:46,359 Speaker 5: this concept of creative destruction, and you know during cyclical downturns, 224 00:11:46,640 --> 00:11:48,920 Speaker 5: and that's what we are seeing last year is that 225 00:11:48,920 --> 00:11:56,640 Speaker 5: the jobs closures has searched significantly, and also new business 226 00:11:56,640 --> 00:12:01,160 Speaker 5: formation has slowed also. So however, Bill is still using 227 00:12:01,520 --> 00:12:08,280 Speaker 5: these lagging predictions of firm closure and opening because typically, 228 00:12:08,320 --> 00:12:13,160 Speaker 5: in normal times, little firms opening and closing generate a 229 00:12:13,240 --> 00:12:16,320 Speaker 5: lot of churn in the labor market and accounts for 230 00:12:16,600 --> 00:12:20,280 Speaker 5: as much, as you know, forty percent of the total 231 00:12:20,360 --> 00:12:24,839 Speaker 5: monthly employment. But in a situation, this cyclical turning point 232 00:12:24,960 --> 00:12:28,079 Speaker 5: like last year, what we're seeing now in the data, 233 00:12:28,120 --> 00:12:30,880 Speaker 5: in the QCW data is that, in fact, now we 234 00:12:31,040 --> 00:12:33,920 Speaker 5: know that firms are closing and as a as a result, 235 00:12:33,960 --> 00:12:38,199 Speaker 5: that's produced this huge overstatement in a farm pay. As 236 00:12:38,240 --> 00:12:38,719 Speaker 5: long as they. 237 00:12:40,160 --> 00:12:41,000 Speaker 4: Damien jump in here. 238 00:12:41,120 --> 00:12:44,440 Speaker 2: I can't state enough the importance of doctor Wong's work 239 00:12:44,840 --> 00:12:46,080 Speaker 2: in the last forty eight hours. 240 00:12:46,080 --> 00:12:49,720 Speaker 1: It's turn the industry, Tom, I mean, can you imagine 241 00:12:49,760 --> 00:12:53,120 Speaker 1: the FOMC making decisions with the FED funds rate based 242 00:12:53,160 --> 00:12:56,680 Speaker 1: on data that is basically they're disregarding that's wrong, that 243 00:12:56,679 --> 00:12:58,960 Speaker 1: they basically need to revise based on revisions. I mean, 244 00:12:58,960 --> 00:13:01,280 Speaker 1: that's what we're talking about. You're an a I'm looking 245 00:13:01,320 --> 00:13:03,640 Speaker 1: at you are a FED policy rate forecast going out 246 00:13:03,679 --> 00:13:06,640 Speaker 1: to the third quarter of twenty twenty six. You're looking 247 00:13:06,679 --> 00:13:09,600 Speaker 1: for a three percent FED funds rate. I mean, forget 248 00:13:09,600 --> 00:13:12,240 Speaker 1: about how we get there. But at three percent FED 249 00:13:12,280 --> 00:13:13,959 Speaker 1: funds rate, I mean, does something have to break in 250 00:13:14,040 --> 00:13:14,680 Speaker 1: order to get there. 251 00:13:17,360 --> 00:13:21,440 Speaker 5: I'm assuming you're looking to twenty twenty five, So for 252 00:13:21,559 --> 00:13:24,720 Speaker 5: this year, we're still expecting to the basis went cut 253 00:13:24,760 --> 00:13:28,199 Speaker 5: because I think it takes a long It takes a 254 00:13:28,240 --> 00:13:30,440 Speaker 5: long time for the FED to realize and take on 255 00:13:30,559 --> 00:13:34,280 Speaker 5: board the data because the FED said they're data dependent, 256 00:13:34,600 --> 00:13:37,120 Speaker 5: and the danger of this data dependency is you have 257 00:13:37,200 --> 00:13:40,079 Speaker 5: to wait for the revisions and it wouldn't be until 258 00:13:40,440 --> 00:13:44,040 Speaker 5: early twenty twenty five where they would get the real 259 00:13:44,200 --> 00:13:48,880 Speaker 5: data based on QCW benchmark for twenty twenty three and 260 00:13:48,960 --> 00:13:51,920 Speaker 5: early twenty twenty four, And wouldn't it wouldn't it will 261 00:13:51,920 --> 00:13:54,520 Speaker 5: be until early twenty twenty six, or they get the 262 00:13:54,559 --> 00:13:57,600 Speaker 5: full year of twenty twenty four revisions. So it could 263 00:13:57,600 --> 00:14:00,920 Speaker 5: be that they are you know, the sharp much will 264 00:14:00,960 --> 00:14:05,000 Speaker 5: happen only in twenty twenty five, uh. 265 00:14:04,920 --> 00:14:06,400 Speaker 4: Anamon, thank you so much. 266 00:14:10,480 --> 00:14:13,040 Speaker 2: Joining us now not wearing Dior in London is Leslie 267 00:14:13,080 --> 00:14:15,640 Speaker 2: vin Ja Murray. I'm dying to talk to her to 268 00:14:15,720 --> 00:14:19,720 Speaker 2: bring over we just saw in India over to Biden 269 00:14:19,920 --> 00:14:25,040 Speaker 2: Trump November of this year. Leslie, I am sobered over 270 00:14:25,120 --> 00:14:27,920 Speaker 2: and I understand is a cast system in America in 271 00:14:27,920 --> 00:14:30,600 Speaker 2: India and there isn't a cast system in America, but 272 00:14:30,640 --> 00:14:34,120 Speaker 2: there really is. But the poor of India. Boy did 273 00:14:34,160 --> 00:14:35,880 Speaker 2: they speak in this election. 274 00:14:37,760 --> 00:14:39,640 Speaker 6: It's a very surprising result. 275 00:14:39,800 --> 00:14:44,160 Speaker 7: We still have Modi, you know, bound to run the 276 00:14:44,200 --> 00:14:47,560 Speaker 7: country for a third term, which is a very significant result. 277 00:14:47,600 --> 00:14:50,600 Speaker 7: But yes, not what people expected and you know, by 278 00:14:50,600 --> 00:14:53,520 Speaker 7: all counts, it's really what we see in the US. 279 00:14:53,600 --> 00:14:56,040 Speaker 6: Two people voting on the basis. 280 00:14:55,600 --> 00:14:59,720 Speaker 7: Of how they comly life economics, prices of food, job 281 00:14:59,760 --> 00:15:03,880 Speaker 7: op ortunities. India has a very large youth population, high 282 00:15:03,960 --> 00:15:07,480 Speaker 7: levels of unemployment amongst young people, and problems when it 283 00:15:07,560 --> 00:15:10,600 Speaker 7: comes to you know those level of jobs, education and 284 00:15:10,640 --> 00:15:13,360 Speaker 7: health and so that is a signal and we will 285 00:15:13,400 --> 00:15:16,680 Speaker 7: see in India in which Moody has to govern slightly 286 00:15:16,720 --> 00:15:18,920 Speaker 7: differently than last several years. 287 00:15:19,080 --> 00:15:22,640 Speaker 2: Leslie, you staggered through Wesleyan before you did LSC, and 288 00:15:22,680 --> 00:15:26,640 Speaker 2: you learned humility about polling. Does Leslie Vnja Murray trust 289 00:15:26,720 --> 00:15:29,840 Speaker 2: the polling in America? You know? 290 00:15:29,880 --> 00:15:32,160 Speaker 7: The polling is fine for what it is, but don't 291 00:15:33,360 --> 00:15:37,080 Speaker 7: draw a direct line from polling to whether you or 292 00:15:37,160 --> 00:15:40,600 Speaker 7: I or our children or our neighbors or friends get 293 00:15:40,680 --> 00:15:43,440 Speaker 7: up and vote. And we all know that this, more 294 00:15:43,480 --> 00:15:45,840 Speaker 7: than anything else, is an election that is about do 295 00:15:46,040 --> 00:15:49,840 Speaker 7: voters are the enthusiastic? Are they passionate enough to either 296 00:15:49,960 --> 00:15:52,920 Speaker 7: vote for or an effect vote against Biden and Trump? 297 00:15:52,960 --> 00:15:54,560 Speaker 6: Will they get out of bed? Will they vote? 298 00:15:54,760 --> 00:15:58,320 Speaker 7: And especially those voters that matter in those states that 299 00:15:58,400 --> 00:16:01,359 Speaker 7: matter vote? So sure, the poll you know, it's interesting, 300 00:16:01,920 --> 00:16:03,800 Speaker 7: not a lot more than that at this stage, this 301 00:16:03,920 --> 00:16:06,040 Speaker 7: many months out, And it doesn't tell us what we 302 00:16:06,120 --> 00:16:09,840 Speaker 7: need to know, which is how inspired, how passionate are people? 303 00:16:09,920 --> 00:16:11,480 Speaker 7: You know, so the things I would look at as 304 00:16:11,640 --> 00:16:15,200 Speaker 7: young voters and swing states. Are they going to be 305 00:16:15,360 --> 00:16:19,800 Speaker 7: mobilized to an effect vote against Biden because of the 306 00:16:19,840 --> 00:16:23,800 Speaker 7: war in Gaza? Do they care about climate change therefore 307 00:16:23,840 --> 00:16:27,240 Speaker 7: they'll turn up for President Biden? How much are voters 308 00:16:27,360 --> 00:16:31,520 Speaker 7: in the manufacturing sector still feeling the pressure on a 309 00:16:31,600 --> 00:16:34,680 Speaker 7: daily basis of inflation that would drive them to, you know, 310 00:16:34,760 --> 00:16:37,640 Speaker 7: be enthusiastic to vote for Donald Trump, not for any 311 00:16:37,720 --> 00:16:40,840 Speaker 7: rational reason, but as a vote against Biden. So there's 312 00:16:40,920 --> 00:16:43,120 Speaker 7: lots of uncertain here. We kind of know what matters, 313 00:16:43,160 --> 00:16:45,920 Speaker 7: but know the polling doesn't you know, it gives us 314 00:16:45,920 --> 00:16:49,360 Speaker 7: something to talk about, for it never for many many months. 315 00:16:49,400 --> 00:16:50,280 Speaker 6: We have a long way to go. 316 00:16:50,640 --> 00:16:52,200 Speaker 1: Well, yeah, Leslie, I mean I'd love to ask you 317 00:16:52,200 --> 00:16:54,560 Speaker 1: about these elections in India, South Africa and Mexico. But 318 00:16:54,640 --> 00:16:56,520 Speaker 1: I mean you went to the guy. You went to Israel, 319 00:16:56,560 --> 00:16:59,320 Speaker 1: So let's just go there. Israel hesbiler rhetoric is heating 320 00:16:59,400 --> 00:17:01,760 Speaker 1: up any gam and saying Israel return residents to the 321 00:17:01,760 --> 00:17:04,960 Speaker 1: North by step one, either through a deal or escalation. 322 00:17:05,040 --> 00:17:07,360 Speaker 1: I mean, we've got wildfires in the north to to Hasbala, 323 00:17:07,400 --> 00:17:10,680 Speaker 1: drone and rocket attacks. More than sixty thousand Israelis remain displaced. 324 00:17:11,240 --> 00:17:13,760 Speaker 1: Talk to us about what comes next in Israel. 325 00:17:15,359 --> 00:17:20,720 Speaker 7: Yeah, there is not a clear path forward in this war. 326 00:17:20,800 --> 00:17:26,600 Speaker 7: We're seeing Netsan Yahu doubling down on the war effort 327 00:17:26,760 --> 00:17:30,359 Speaker 7: in Rafa to the great backlash from much of the 328 00:17:30,440 --> 00:17:33,640 Speaker 7: rest of the world. We're seeing more pressure on President 329 00:17:33,720 --> 00:17:37,240 Speaker 7: Biden and others to really try and get Israel to 330 00:17:37,280 --> 00:17:41,000 Speaker 7: exercise restraint, but not a lot of that happening right now. 331 00:17:41,000 --> 00:17:44,920 Speaker 7: We have this wild card of the International Criminal Court 332 00:17:45,240 --> 00:17:49,080 Speaker 7: that's likely to confirm and arrest warrant on the Israeli 333 00:17:49,160 --> 00:17:53,240 Speaker 7: pro minister, which again from all counts, is actually leading 334 00:17:53,320 --> 00:17:58,600 Speaker 7: many Israelis to gather around their prime Minister has not 335 00:17:58,920 --> 00:18:01,960 Speaker 7: been very popular, but this isn't This is actually working 336 00:18:02,000 --> 00:18:02,639 Speaker 7: against that. 337 00:18:03,400 --> 00:18:07,000 Speaker 6: So all sorts of wildcards, but it's at the moment 338 00:18:07,080 --> 00:18:11,000 Speaker 6: there is no clear sense that a deal is going 339 00:18:11,080 --> 00:18:15,159 Speaker 6: to be delivered, that the war is going to result 340 00:18:15,160 --> 00:18:17,800 Speaker 6: in what everybody thinks needs to happen, which is a 341 00:18:17,800 --> 00:18:20,120 Speaker 6: two state solution, and there is that concern about what's 342 00:18:20,160 --> 00:18:23,879 Speaker 6: going to happen between Israel and the law. 343 00:18:23,880 --> 00:18:26,240 Speaker 1: And loving on Leslie. I mean, I may not think 344 00:18:26,280 --> 00:18:28,320 Speaker 1: this way, You may not think this way, but from 345 00:18:28,680 --> 00:18:31,600 Speaker 1: where I sit, most of America feels that a vote 346 00:18:31,800 --> 00:18:33,760 Speaker 1: for the Republican Party for Donald Trump is a vote 347 00:18:33,800 --> 00:18:36,679 Speaker 1: for Israel, and vice versa. A vote you know, for 348 00:18:36,720 --> 00:18:39,240 Speaker 1: the Democratic Party is a vote against Israel. I mean, 349 00:18:39,800 --> 00:18:42,439 Speaker 1: is that something is that real? Do you believe that? 350 00:18:42,600 --> 00:18:45,240 Speaker 1: I mean, is that the way the US election is 351 00:18:45,240 --> 00:18:45,920 Speaker 1: headed right now? 352 00:18:46,720 --> 00:18:48,560 Speaker 6: I mean, I don't think that young voters see that. 353 00:18:48,600 --> 00:18:52,320 Speaker 7: They see a president in President Biden who's been very 354 00:18:52,359 --> 00:18:55,720 Speaker 7: pro Israel, and a party that's very divided, certainly has 355 00:18:55,720 --> 00:18:57,960 Speaker 7: a progressive wing that wants to move in a different 356 00:18:57,960 --> 00:19:00,320 Speaker 7: direction when it comes to America's support of this, but 357 00:19:00,359 --> 00:19:02,639 Speaker 7: that has not been you know, just in terms of 358 00:19:02,920 --> 00:19:07,800 Speaker 7: America's military support of Israel. That's that's not at all 359 00:19:07,920 --> 00:19:10,000 Speaker 7: been the case. So I think that the story is 360 00:19:10,080 --> 00:19:13,760 Speaker 7: much more complicated in terms of whether the Democratic Party, 361 00:19:13,880 --> 00:19:17,360 Speaker 7: if you know, President Biden were re elected, will pull. 362 00:19:17,200 --> 00:19:21,440 Speaker 6: Back some of that support. Very hard to say. 363 00:19:21,480 --> 00:19:24,720 Speaker 7: I think in the medium term and a longer lifespan, 364 00:19:24,800 --> 00:19:28,080 Speaker 7: America's support of Israel is likely to diminish, but not 365 00:19:28,119 --> 00:19:29,480 Speaker 7: in the not in the New York term, not. 366 00:19:29,440 --> 00:19:30,200 Speaker 4: In the Dutch. 367 00:19:30,359 --> 00:19:33,280 Speaker 2: Na Murray, thank you so much, Leslie Vnerbury with us 368 00:19:34,080 --> 00:19:35,800 Speaker 2: this one. I greatly appreciate it. 369 00:19:46,240 --> 00:19:48,479 Speaker 4: Lisa Mateo, what do you all right? 370 00:19:48,480 --> 00:19:49,640 Speaker 8: We're starting with the New York Times. 371 00:19:49,640 --> 00:19:52,240 Speaker 9: I really need John Tucker for this one, Sources saying 372 00:19:52,320 --> 00:19:57,920 Speaker 9: Governor Kathy Hulkal pushing to delay congestion pricing. Now it started, 373 00:19:58,040 --> 00:20:01,280 Speaker 9: it's lated to star June thirtieth. Although things that congestion 374 00:20:01,320 --> 00:20:04,480 Speaker 9: pricing is good for the environment environment. Here's her concern 375 00:20:04,600 --> 00:20:06,640 Speaker 9: is that the timing was less than ideal because it's 376 00:20:06,640 --> 00:20:09,080 Speaker 9: going to hurt the city's economy, which is still recovering 377 00:20:09,119 --> 00:20:12,040 Speaker 9: from the pandemic. She wants to replace it with another 378 00:20:12,119 --> 00:20:15,160 Speaker 9: revenue stream. She's considering proposing this tax on New York 379 00:20:15,160 --> 00:20:18,040 Speaker 9: City businesses that would need approval. 380 00:20:17,720 --> 00:20:19,560 Speaker 8: Though from the New York State legislature. 381 00:20:19,640 --> 00:20:22,919 Speaker 2: I was thunderstruck today. Drive it in the Bentley's in 382 00:20:22,960 --> 00:20:25,840 Speaker 2: the grudge. So I had out, I'm going down lest 383 00:20:25,960 --> 00:20:26,960 Speaker 2: By Avenue, which. 384 00:20:26,800 --> 00:20:27,560 Speaker 4: I never go down. 385 00:20:28,040 --> 00:20:31,120 Speaker 2: The number of stores, businesses, whatever you want to call 386 00:20:31,200 --> 00:20:32,560 Speaker 2: it boarded up. 387 00:20:33,600 --> 00:20:34,439 Speaker 4: That's nuts. 388 00:20:34,520 --> 00:20:37,040 Speaker 1: Still well, I mean, I have a short ball of 389 00:20:37,400 --> 00:20:39,080 Speaker 1: the city is a shortfall of one billion dollars a 390 00:20:39,119 --> 00:20:40,639 Speaker 1: year time. So it's got to come from somewhere. If 391 00:20:40,640 --> 00:20:42,119 Speaker 1: it's not going to come from drivers, it's got to 392 00:20:42,119 --> 00:20:45,240 Speaker 1: come from businesses, I guess. But I mean, look, selfishly speaking, 393 00:20:45,320 --> 00:20:47,640 Speaker 1: I am not a fan of this congestion tax at all. 394 00:20:47,760 --> 00:20:49,240 Speaker 4: So what do you think? I mean? 395 00:20:49,280 --> 00:20:51,840 Speaker 2: My answer, my answer is just loaded up on the 396 00:20:51,960 --> 00:20:53,479 Speaker 2: FDR and the West Side Highway. 397 00:20:53,840 --> 00:20:54,280 Speaker 4: I don't know. 398 00:20:54,520 --> 00:20:57,080 Speaker 9: Yeah, I'm not a fan of the congestion. I mean, granted, 399 00:20:57,119 --> 00:20:59,639 Speaker 9: I'm coming from Jersey, so I'm one of those. You know, 400 00:20:59,640 --> 00:21:02,040 Speaker 9: there's a lot of lawsuits and everything's still going that 401 00:21:02,080 --> 00:21:04,880 Speaker 9: could delay it as well, but I'm not a fan 402 00:21:04,920 --> 00:21:05,040 Speaker 9: of it. 403 00:21:05,119 --> 00:21:08,680 Speaker 2: We'll have team coverage with our surveillance congestion reporter John Tucker. 404 00:21:08,760 --> 00:21:10,760 Speaker 4: Look for that through the week. Next. 405 00:21:11,160 --> 00:21:14,000 Speaker 9: All right, we told you about Boeing Starliner launch today. Okay, 406 00:21:14,080 --> 00:21:17,919 Speaker 9: so now SpaceX also getting a launch license, so it 407 00:21:17,920 --> 00:21:19,960 Speaker 9: would be its fourth major test light. 408 00:21:20,040 --> 00:21:21,080 Speaker 8: It's from the FAA. 409 00:21:21,160 --> 00:21:24,000 Speaker 9: They granted them the license, so SpaceX plans to launch 410 00:21:24,040 --> 00:21:26,960 Speaker 9: Starship as early as tomorrow. That's from the company's star 411 00:21:27,040 --> 00:21:30,640 Speaker 9: Base facility in Texas. Bloomberg will carry that live too 412 00:21:30,680 --> 00:21:32,920 Speaker 9: when it does happen. But it's kind of this next 413 00:21:32,920 --> 00:21:35,639 Speaker 9: step in launching space as is you know, future satellites 414 00:21:35,640 --> 00:21:38,199 Speaker 9: taking humans of the Moon, possibly to Mars two on 415 00:21:38,280 --> 00:21:38,800 Speaker 9: top of it. 416 00:21:39,480 --> 00:21:42,440 Speaker 8: But this will be their fourth flight for the for. 417 00:21:42,400 --> 00:21:46,280 Speaker 4: The Boeing is this morning just before eleven am. 418 00:21:46,480 --> 00:21:48,639 Speaker 8: Correct, Yes, ten fifty two is for Boeing. 419 00:21:48,920 --> 00:21:50,520 Speaker 9: So a lot going on with space travel. 420 00:21:50,640 --> 00:21:54,399 Speaker 2: Yeah, it's well, it's it's just an interesting hybrid. We 421 00:21:54,840 --> 00:22:00,800 Speaker 2: will see Blue Origin a match, correct, correct, Yeah, Next, 422 00:22:00,840 --> 00:22:03,680 Speaker 2: all right, we go from space travel to airline travel. 423 00:22:03,840 --> 00:22:07,440 Speaker 8: Right, you have these Elite fly they're doing crazy. 424 00:22:08,440 --> 00:22:09,160 Speaker 4: You know they have an. 425 00:22:09,160 --> 00:22:11,160 Speaker 8: Exclusive airline status. 426 00:22:11,200 --> 00:22:14,520 Speaker 9: Okay, so it's like this semi secret status. 427 00:22:14,760 --> 00:22:18,240 Speaker 8: Spenders Damiens on it, trying to get trying, trying. 428 00:22:19,000 --> 00:22:20,760 Speaker 1: I've actually went many an hour on the phone with 429 00:22:20,840 --> 00:22:23,439 Speaker 1: Delta trying to figure out how to get on Delta 430 00:22:23,520 --> 00:22:25,640 Speaker 1: this or Delta that. You know, I get a lot 431 00:22:25,640 --> 00:22:27,479 Speaker 1: of pushback everywhere. I don't know how to do it. 432 00:22:27,560 --> 00:22:31,120 Speaker 9: Yes, so it's United's invitation only global services, Delta's three 433 00:22:31,240 --> 00:22:32,120 Speaker 9: sixty yes. 434 00:22:31,960 --> 00:22:33,800 Speaker 8: And Americans concierge key. 435 00:22:34,080 --> 00:22:36,320 Speaker 9: Okay. You get a lot of perks. Do you want 436 00:22:36,320 --> 00:22:38,600 Speaker 9: to hear some of them. You get customer service on 437 00:22:38,640 --> 00:22:43,840 Speaker 9: speed up, like customer service, flight rebooking before you even 438 00:22:43,840 --> 00:22:47,240 Speaker 9: know there's a problem, lounge, excess priority for upgrades. 439 00:22:47,280 --> 00:22:51,399 Speaker 8: And listen to this one. Chauffeur drives in luxury cars 440 00:22:51,440 --> 00:22:53,400 Speaker 8: to the gate. If you're running late. 441 00:22:55,080 --> 00:22:56,960 Speaker 1: Is Penelope crew is going to be there to hold 442 00:22:56,960 --> 00:22:57,359 Speaker 1: our hands? 443 00:22:57,600 --> 00:22:59,439 Speaker 8: I don't know, I know you'd like that. Though. 444 00:23:00,080 --> 00:23:03,200 Speaker 2: My basic take is it's out of control. I did 445 00:23:03,240 --> 00:23:08,040 Speaker 2: a fancy private trip. The lounge was so packed to 446 00:23:08,119 --> 00:23:10,840 Speaker 2: stand at the bar going out and coming back to 447 00:23:10,880 --> 00:23:13,159 Speaker 2: do the exact same things. There were no seats of 448 00:23:13,200 --> 00:23:15,760 Speaker 2: the lunch. It was the whole things. They got to 449 00:23:15,760 --> 00:23:16,719 Speaker 2: blow it up and start off. 450 00:23:16,760 --> 00:23:17,760 Speaker 8: Well, except it's so secret. 451 00:23:17,800 --> 00:23:20,320 Speaker 9: People are people are asking how much it's going to cost. 452 00:23:20,359 --> 00:23:22,880 Speaker 4: I fired my present airline. I'm not going to say 453 00:23:22,880 --> 00:23:23,320 Speaker 4: what it is. 454 00:23:23,400 --> 00:23:25,080 Speaker 1: And you know that they are these new airlines that 455 00:23:25,119 --> 00:23:26,840 Speaker 1: are popping up. I forget the name of it, but 456 00:23:27,000 --> 00:23:28,960 Speaker 1: but but it flies out of Westchester. They only fly 457 00:23:29,000 --> 00:23:31,800 Speaker 1: to a few designated locations. Apparently, it's like flying private, 458 00:23:31,920 --> 00:23:33,560 Speaker 1: and you go in through a part of the airport, 459 00:23:33,600 --> 00:23:35,840 Speaker 1: not the public part with all the Michigan You going 460 00:23:35,880 --> 00:23:38,159 Speaker 1: through a little private entrance and it's supposed to be 461 00:23:38,160 --> 00:23:38,560 Speaker 1: really nice. 462 00:23:39,160 --> 00:23:40,640 Speaker 8: You gotta spend a lot. 463 00:23:40,680 --> 00:23:43,000 Speaker 4: You gotta spend. 464 00:23:43,240 --> 00:23:46,359 Speaker 9: It's just been like fifty thousand dollars plus. You know 465 00:23:46,640 --> 00:23:49,480 Speaker 9: you're in flights, all right. The last one we're going 466 00:23:49,560 --> 00:23:51,960 Speaker 9: to talk about is Disney, so they could be set 467 00:23:52,000 --> 00:23:54,680 Speaker 9: to invest billions of dollars into its Florida theme parks. 468 00:23:54,920 --> 00:23:57,840 Speaker 9: If this new development agreement is approved for today. We 469 00:23:58,000 --> 00:23:59,920 Speaker 9: all know about the you know, the back and forth 470 00:24:00,000 --> 00:24:03,880 Speaker 9: taking place between Disney Governor Ron de Santis's appointees. They've 471 00:24:03,880 --> 00:24:06,440 Speaker 9: agreed to end that legal fight, right but today five 472 00:24:06,520 --> 00:24:09,680 Speaker 9: DeSantis appointed as supervisors. They're going to oversee the Disney World. 473 00:24:09,960 --> 00:24:12,520 Speaker 9: They who oversee that Disney World district. They're going to 474 00:24:12,600 --> 00:24:15,280 Speaker 9: vote today, so we'll see the results could happen. And 475 00:24:15,440 --> 00:24:18,760 Speaker 9: if it does seventeen billion investment into its Florida parks, 476 00:24:19,080 --> 00:24:21,760 Speaker 9: it could open that the door to another theme park 477 00:24:21,760 --> 00:24:24,920 Speaker 9: at Walt Disney two more minor parks like water parks, 478 00:24:25,320 --> 00:24:27,280 Speaker 9: raise the number of hotel rooms on its property. 479 00:24:27,320 --> 00:24:31,119 Speaker 4: So confused, is it a new disney World, a bolt 480 00:24:31,160 --> 00:24:32,080 Speaker 4: on disney World. 481 00:24:32,280 --> 00:24:34,320 Speaker 9: It's it's kind of giving it a boost. They want 482 00:24:34,359 --> 00:24:36,600 Speaker 9: to boost up. Remember Paul's always talking about this. How 483 00:24:36,760 --> 00:24:38,440 Speaker 9: you know, we talk about the streaming, but he's like. 484 00:24:38,400 --> 00:24:39,919 Speaker 8: It's all about the theme parks. 485 00:24:40,000 --> 00:24:43,399 Speaker 1: Do you do this, Lisa, Tom loves Disney World. 486 00:24:42,800 --> 00:24:45,680 Speaker 4: I went to give a speech. 487 00:24:45,840 --> 00:24:48,720 Speaker 1: You said, a Caribbean beach reorder, an animal kingdom lodge. 488 00:24:48,720 --> 00:24:49,720 Speaker 1: Come on, tell us the truth. 489 00:24:50,000 --> 00:24:52,560 Speaker 4: He's always that there's alligators. I'm not going to be 490 00:24:52,640 --> 00:24:53,080 Speaker 4: down there. 491 00:24:53,160 --> 00:24:55,879 Speaker 2: I mean Anaheim, I'll go to Okay, do the little 492 00:24:55,920 --> 00:24:57,640 Speaker 2: teacups and but. 493 00:24:57,400 --> 00:24:59,560 Speaker 4: But essentially they want to they want to make Disney 494 00:24:59,560 --> 00:24:59,960 Speaker 4: World big. 495 00:25:00,400 --> 00:25:01,280 Speaker 8: They want to make it bigger. 496 00:25:01,280 --> 00:25:03,440 Speaker 9: And this is just this is specifically for the Florida 497 00:25:03,480 --> 00:25:07,040 Speaker 9: Theme Park. So they're going to increase even retail space restaurants, 498 00:25:07,080 --> 00:25:09,480 Speaker 9: increase that by twenty percent. But here's the thing. Disney 499 00:25:09,520 --> 00:25:11,080 Speaker 9: does have to donate up to one hundred of his 500 00:25:11,080 --> 00:25:14,560 Speaker 9: is acres for infrastructure projects controlled by that district. So 501 00:25:14,600 --> 00:25:15,520 Speaker 9: that's kind of what they're. 502 00:25:15,320 --> 00:25:18,000 Speaker 4: Going up to. Lisa Moto, thank you so much to 503 00:25:18,000 --> 00:25:18,800 Speaker 4: the newspapers. 504 00:25:19,520 --> 00:25:22,720 Speaker 2: This is the Bloomberg Surveillance Podcast, bringing you the best 505 00:25:22,760 --> 00:25:27,520 Speaker 2: in economics, finance, investment, and international relations. You can also 506 00:25:27,600 --> 00:25:31,639 Speaker 2: watch the show live on YouTube. Visit the Bloomberg Podcast 507 00:25:31,760 --> 00:25:35,800 Speaker 2: channel on YouTube to see the show weekday mornings from 508 00:25:35,840 --> 00:25:39,080 Speaker 2: seven to ten am Eastern from our global headquarters in 509 00:25:39,160 --> 00:25:42,879 Speaker 2: New York City. 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