1 00:00:02,400 --> 00:00:15,680 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:13,920 --> 00:00:17,159 Speaker 2: Single best idea usually six minutes long. We want to 3 00:00:17,160 --> 00:00:19,920 Speaker 2: fit it in as something you can listen to around 4 00:00:19,960 --> 00:00:23,919 Speaker 2: your other longer podcasts like David Gura and The Big Take, 5 00:00:24,120 --> 00:00:27,480 Speaker 2: among others, but today we could do a three hour 6 00:00:27,800 --> 00:00:32,200 Speaker 2: single best idea. The news flow today was absolutely extraordinary 7 00:00:32,240 --> 00:00:35,640 Speaker 2: in all my years of doing this, the number of stories, 8 00:00:35,760 --> 00:00:40,640 Speaker 2: the coverage, the video tied into our radio product was 9 00:00:40,760 --> 00:00:43,880 Speaker 2: just absolutely extraordinary. We're not going to touch it all today, 10 00:00:43,880 --> 00:00:48,440 Speaker 2: but we'll try to get there. The ECB today cut 11 00:00:48,640 --> 00:00:51,640 Speaker 2: their interest rate. They put out it's very different than 12 00:00:51,680 --> 00:00:54,880 Speaker 2: when the Fed puts out their headlines. The Feds are 13 00:00:55,160 --> 00:00:59,840 Speaker 2: fewer headlines, more obtuse. The ECB wants to tell you everything, 14 00:01:00,040 --> 00:01:03,920 Speaker 2: and they're headline dump So they told us everything, including 15 00:01:03,920 --> 00:01:08,320 Speaker 2: inflation and GDP forecasts and then regards to get up 16 00:01:08,319 --> 00:01:12,440 Speaker 2: and reinterpret it. The Euro was pretty stable, but within 17 00:01:12,560 --> 00:01:16,920 Speaker 2: it was inflation that refuses to come down. Maybe twenty 18 00:01:17,000 --> 00:01:21,680 Speaker 2: twenty six in a far more tepid growth. We spoke 19 00:01:21,720 --> 00:01:26,839 Speaker 2: to Jeffrey U of bny Mellon about the unique ECB calculus. 20 00:01:27,040 --> 00:01:29,959 Speaker 1: Animal spirits in Eurozone I think need to work off again, 21 00:01:30,000 --> 00:01:32,240 Speaker 1: where your financing costs are real rates. What's the other 22 00:01:32,280 --> 00:01:35,440 Speaker 1: side of a nominal GDP how high is your deflator? 23 00:01:35,480 --> 00:01:36,920 Speaker 1: So if it's going to be driven by a high 24 00:01:36,920 --> 00:01:39,800 Speaker 1: deflator and companies have pricing power, then they will be 25 00:01:39,800 --> 00:01:42,120 Speaker 1: willing to move as well. Either that or you begin 26 00:01:42,240 --> 00:01:45,119 Speaker 1: to reduce cost animal spirits. I think two factors. One, 27 00:01:45,200 --> 00:01:48,200 Speaker 1: financial conditions need to lose some more, but secondly, reliant 28 00:01:48,240 --> 00:01:51,520 Speaker 1: on some degree of industrial policy fiscal support. That's what 29 00:01:51,560 --> 00:01:54,240 Speaker 1: the US and China have right now made in China 30 00:01:54,280 --> 00:01:56,800 Speaker 1: twenty twenty five, the IRAA Europe is still lacking that. 31 00:01:57,160 --> 00:01:59,560 Speaker 2: Jeffrey, you and when you course talked to him about 32 00:02:00,160 --> 00:02:03,800 Speaker 2: China is well. I thought he was somewhat constructive on it, 33 00:02:03,840 --> 00:02:07,400 Speaker 2: and somewhat constructive on a global lift, but again he 34 00:02:07,440 --> 00:02:13,000 Speaker 2: was very cautious on establishing a disinflationary tendency. Over the 35 00:02:13,080 --> 00:02:16,880 Speaker 2: rake cuts we've seen in Sweden, Canada and in the ECB. 36 00:02:17,040 --> 00:02:20,600 Speaker 2: Will a FED cut next week? Nobody's talking about that. 37 00:02:20,720 --> 00:02:24,560 Speaker 2: I don't think I'm going to editorialize there on that 38 00:02:25,480 --> 00:02:30,120 Speaker 2: D Day was extraordinary today. Some good perspective there from 39 00:02:30,440 --> 00:02:34,000 Speaker 2: Bloomberg News in Paris. Thank you to all for the 40 00:02:34,040 --> 00:02:36,720 Speaker 2: covers of that. Particularly major shout out to Michael Barr, 41 00:02:37,280 --> 00:02:41,720 Speaker 2: who had to juggle an extraordinary amount of newsflow for those, 42 00:02:41,760 --> 00:02:43,920 Speaker 2: of course in New York was the bombshell by the 43 00:02:43,919 --> 00:02:47,280 Speaker 2: Governor of New York of ending the debate over a 44 00:02:47,320 --> 00:02:50,880 Speaker 2: congestion at tax. That was a shock yesterday afternoon. And 45 00:02:51,200 --> 00:02:54,280 Speaker 2: it's a local story, but it's got some national ramifications 46 00:02:55,240 --> 00:02:59,720 Speaker 2: as well. One of the stories was in engineering and space, 47 00:03:00,160 --> 00:03:04,919 Speaker 2: and we made a commitment to actually cover the miracle 48 00:03:05,000 --> 00:03:07,120 Speaker 2: of space. And I'm not going to mince words. When 49 00:03:07,120 --> 00:03:08,919 Speaker 2: I heard about this, say three years ago, for it, 50 00:03:09,000 --> 00:03:12,560 Speaker 2: SA say really, we really need to do this. I 51 00:03:12,600 --> 00:03:15,200 Speaker 2: mean it's you know, the guy over at Virginaire and 52 00:03:15,880 --> 00:03:19,239 Speaker 2: the rich guy from Amazon and this Tesla guy and 53 00:03:19,440 --> 00:03:24,400 Speaker 2: PayPal all that, and then Boeing got involved. They had 54 00:03:24,520 --> 00:03:27,600 Speaker 2: I guess a successful list finally the other day, and 55 00:03:27,680 --> 00:03:31,040 Speaker 2: it becomes a blur. And the one thing that's not 56 00:03:31,160 --> 00:03:35,600 Speaker 2: a blur is the engineering miracle that Elon Musk is 57 00:03:35,640 --> 00:03:37,240 Speaker 2: trying to do. And I'm not going to go into 58 00:03:37,280 --> 00:03:40,120 Speaker 2: it now because of the brevity of the podcast, but 59 00:03:40,200 --> 00:03:44,240 Speaker 2: when the thing takes off SpaceX, you look up and 60 00:03:44,320 --> 00:03:47,920 Speaker 2: it looks like a comic book in the nineteen fifties. 61 00:03:47,960 --> 00:03:53,360 Speaker 2: Because there are thirty three rocket engines among the entire 62 00:03:54,040 --> 00:03:58,760 Speaker 2: base engine. It's not Saturn. We need to talk to 63 00:03:58,800 --> 00:04:01,800 Speaker 2: an expert NASA. 64 00:04:01,440 --> 00:04:04,600 Speaker 3: Watch to be a nerd about it. It's asymptotic. You're 65 00:04:04,640 --> 00:04:07,320 Speaker 3: getting closer and closer to perfection. You never really get there, 66 00:04:07,360 --> 00:04:10,280 Speaker 3: but you have to get closer in order to have 67 00:04:10,320 --> 00:04:13,280 Speaker 3: something that's reliable. And in this case here, I mean 68 00:04:13,400 --> 00:04:15,640 Speaker 3: you see some of the shots before the launch, and 69 00:04:15,680 --> 00:04:18,080 Speaker 3: you see they have the next couple of rockets and 70 00:04:18,200 --> 00:04:21,840 Speaker 3: it's stacked like corn silums. I mean, they're making these 71 00:04:21,839 --> 00:04:25,440 Speaker 3: things like consumer products. It's not the handmade, one off 72 00:04:25,520 --> 00:04:30,000 Speaker 3: things that NASA does. This is designed to be launch test, 73 00:04:30,120 --> 00:04:34,559 Speaker 3: launch test, launch test. Every launch brings down the risk, 74 00:04:34,960 --> 00:04:37,320 Speaker 3: gives you more confidence than what you thought to what 75 00:04:37,360 --> 00:04:40,960 Speaker 3: you're doing right is oh boy, it's watching the lifeat now. 76 00:04:41,040 --> 00:04:42,000 Speaker 3: This is really. 77 00:04:41,720 --> 00:04:45,480 Speaker 2: Something beautifully explained and I think, very different from our perception. 78 00:04:46,520 --> 00:04:50,040 Speaker 2: And I can remember when James Mentioner wrote the book Space, 79 00:04:50,120 --> 00:04:54,600 Speaker 2: he was so upset at the presumed perfection of the 80 00:04:54,960 --> 00:04:59,280 Speaker 2: Apollo program after the terrible deaths of Apollo one, and 81 00:04:59,320 --> 00:05:02,400 Speaker 2: it's just it became too perfect almost with the moon 82 00:05:02,480 --> 00:05:06,000 Speaker 2: landings and everything you know with Apollo thirteen and getting 83 00:05:06,040 --> 00:05:09,880 Speaker 2: those guys back to Earth. But there was a perfection, 84 00:05:10,400 --> 00:05:14,680 Speaker 2: and the early space mission of Ranger, which crashed into 85 00:05:14,680 --> 00:05:18,320 Speaker 2: the Moon directly, was just a whole series of failures. 86 00:05:18,480 --> 00:05:21,800 Speaker 2: And we have forgotten that the way you engineer in 87 00:05:21,880 --> 00:05:25,560 Speaker 2: America is to fail along the way. And I don't know, 88 00:05:25,839 --> 00:05:28,200 Speaker 2: I frankly have not been briefed a This morning's flight 89 00:05:28,320 --> 00:05:31,640 Speaker 2: was considered success or failure, but it was certainly something 90 00:05:31,640 --> 00:05:34,720 Speaker 2: to cover. Thank you Keith coming of NASA, watch for 91 00:05:34,839 --> 00:05:39,640 Speaker 2: that perspective. Maybe tomorrow will be less newsflow. I think, 92 00:05:39,760 --> 00:05:42,120 Speaker 2: just maybe, I believe the president is a state dinner 93 00:05:42,480 --> 00:05:45,960 Speaker 2: in Paris. Lisa monteil be covering that in its entirety, 94 00:05:46,880 --> 00:05:49,280 Speaker 2: but far more there will be jobs day tomorrow. We'll 95 00:05:49,279 --> 00:05:51,720 Speaker 2: go beneath the headline data at eight thirty, as we 96 00:05:51,760 --> 00:05:54,960 Speaker 2: always do. Thank you, Commonwealth for your support of all 97 00:05:55,000 --> 00:05:58,680 Speaker 2: of our economic indicators. Look for us at Apple CarPlay. 98 00:05:59,400 --> 00:06:01,800 Speaker 2: Thank you for listening to Apple CarPlay this morning on 99 00:06:01,839 --> 00:06:05,000 Speaker 2: your commute and I Android as well and on YouTube. 100 00:06:05,080 --> 00:06:11,599 Speaker 2: Search Bloomberg Podcasts. Subscribe to Bloomberg podcast on Apple Podcasts. 101 00:06:11,960 --> 00:06:17,120 Speaker 2: Single best idea,