1 00:00:02,400 --> 00:00:13,400 Speaker 1: Bloomberg Audio Studios, podcasts, radio news, the. 2 00:00:13,440 --> 00:00:16,800 Speaker 2: Single best idea and really want to speak about subscribing 3 00:00:16,840 --> 00:00:21,840 Speaker 2: to Bloomberg podcasts. Search Bloomberg Podcasts on YouTube to search 4 00:00:21,880 --> 00:00:25,720 Speaker 2: Bloomberg Surveillance, but all of our other product over the 5 00:00:25,760 --> 00:00:30,800 Speaker 2: weekend out of Apple Podcasts, extraordinary political coverage today. We'll 6 00:00:30,800 --> 00:00:33,280 Speaker 2: get to that in a moment, but I just really 7 00:00:33,280 --> 00:00:37,239 Speaker 2: can't emphasize enough the eclecticism away from what I'm doing 8 00:00:37,320 --> 00:00:41,000 Speaker 2: every day here at Bloomberg News and across all of 9 00:00:41,000 --> 00:00:45,120 Speaker 2: our audio and video product. It's just been an exhausting 10 00:00:45,200 --> 00:00:50,159 Speaker 2: and extraordinary twenty four hours. Last night, seven pm ish, 11 00:00:51,720 --> 00:00:54,440 Speaker 2: I did a quick call with the various people that 12 00:00:54,480 --> 00:00:57,960 Speaker 2: tell me what to do, and I said, there's only 13 00:00:58,000 --> 00:00:59,520 Speaker 2: one name I really want to talk to, and he's 14 00:00:59,520 --> 00:01:02,680 Speaker 2: a prosecut and lo and behold, Eric hit the ball 15 00:01:02,680 --> 00:01:04,360 Speaker 2: out of the park and we were able to line 16 00:01:04,440 --> 00:01:07,000 Speaker 2: up someone it's tough to get and for those of 17 00:01:07,040 --> 00:01:09,959 Speaker 2: you of a certain age, you will remember the name 18 00:01:10,040 --> 00:01:16,320 Speaker 2: Leon Jeworski. Nick Ackerman was an assistant to Leon Jeworski 19 00:01:16,440 --> 00:01:20,040 Speaker 2: at Watergate. He comes out of U mass Amherston, Harvard. 20 00:01:20,080 --> 00:01:28,039 Speaker 2: He's absolutely definitive, literally the stereotype of the grizzled prosecutor, 21 00:01:28,480 --> 00:01:33,640 Speaker 2: and he's hugely popular within the media because there's no flamboyancy. 22 00:01:33,680 --> 00:01:39,200 Speaker 2: There's none of this modern theatric stuff. It's literally what 23 00:01:39,400 --> 00:01:43,640 Speaker 2: Perry Mason tried to be fifty sixty years ago. It's 24 00:01:43,720 --> 00:01:49,480 Speaker 2: just straightforward discussion. I was thunderstruck at Nick Ackerman's comments 25 00:01:49,520 --> 00:01:50,080 Speaker 2: this morning. 26 00:01:50,520 --> 00:01:54,720 Speaker 3: Let's listen based on at least the fact that Michael 27 00:01:54,800 --> 00:02:01,200 Speaker 3: Cohen served three years for these violations, and that Alan Weiselberg, 28 00:02:01,880 --> 00:02:06,400 Speaker 3: the CFO of Trump Org, who is instrumental in setting 29 00:02:06,480 --> 00:02:11,639 Speaker 3: up the phony corporate records on this and the payments 30 00:02:11,680 --> 00:02:15,760 Speaker 3: that went out to reimburse Michael Cohen. He's already served 31 00:02:16,400 --> 00:02:21,280 Speaker 3: three months in Rikers Island for unrelated matters and now 32 00:02:21,320 --> 00:02:24,280 Speaker 3: he's serving three months another three months in Rikers Island 33 00:02:24,280 --> 00:02:27,160 Speaker 3: for Lyne. And I think the judge is going to 34 00:02:27,200 --> 00:02:30,440 Speaker 3: have to consider that here are two people that were 35 00:02:30,480 --> 00:02:34,960 Speaker 3: instrumental in this crime that did serve jail time, and 36 00:02:35,120 --> 00:02:37,360 Speaker 3: I find it hard to believe that he is not 37 00:02:37,440 --> 00:02:41,240 Speaker 3: going to feel compelled to give Donald Trump at least 38 00:02:41,480 --> 00:02:42,400 Speaker 3: some jail time. 39 00:02:42,840 --> 00:02:45,920 Speaker 2: Is it something creative and different or is it Are 40 00:02:45,960 --> 00:02:49,000 Speaker 2: you telling me the former president of the United States 41 00:02:49,000 --> 00:02:51,560 Speaker 2: could enjoy a month at Rikers Island. 42 00:02:51,880 --> 00:02:54,000 Speaker 3: Yeah, absolutely. I mean I think what they'd have to 43 00:02:54,040 --> 00:02:58,720 Speaker 3: do was create a presidential suite at Rikers Island because 44 00:02:58,760 --> 00:03:01,200 Speaker 3: the Secret Service has to be there with him. Obviously, 45 00:03:01,880 --> 00:03:06,280 Speaker 3: I think there is a very strong likelihood that he 46 00:03:06,400 --> 00:03:08,919 Speaker 3: is going to be sentenced to imprison them. Will he 47 00:03:09,040 --> 00:03:12,320 Speaker 3: be protected from other prisoners. I'll just be as direct 48 00:03:12,320 --> 00:03:15,720 Speaker 3: about it as I can. Absolutely, I don't see how 49 00:03:16,320 --> 00:03:19,079 Speaker 3: anyway he can be put into the general population. 50 00:03:19,919 --> 00:03:23,000 Speaker 2: Nick Ackerman, and I can say, in multiple decades of 51 00:03:23,080 --> 00:03:27,120 Speaker 2: doing this, that is one of the most extraordinary seven 52 00:03:27,160 --> 00:03:31,640 Speaker 2: minute conversations I've ever ever heard. Thanks to Joe Matthew 53 00:03:31,680 --> 00:03:35,040 Speaker 2: and Balance of Power for helping us deliver mister Ackerman 54 00:03:35,120 --> 00:03:38,920 Speaker 2: to you. I'm Bloomberg surveillance. So there was economic data 55 00:03:38,960 --> 00:03:42,480 Speaker 2: today as well, key inflation data, at least for the FED. 56 00:03:43,200 --> 00:03:47,320 Speaker 2: Jason Furman was along from Harvard University's Slice and Dy said, 57 00:03:47,400 --> 00:03:53,440 Speaker 2: I love Professor Furman's ecumenical inflation analysis, taking twenty four 58 00:03:53,560 --> 00:03:57,160 Speaker 2: data points from I believe it's eight series, I can't remember, 59 00:03:57,240 --> 00:04:00,400 Speaker 2: and he's got a fancy grid out there. You pass 60 00:04:00,440 --> 00:04:02,920 Speaker 2: fail for X ten and you know where I am 61 00:04:02,920 --> 00:04:07,080 Speaker 2: on that matrix. But Jason Furman, with an ecumenical CPI 62 00:04:08,040 --> 00:04:10,760 Speaker 2: market economists in the trenches have to react to this 63 00:04:10,920 --> 00:04:15,560 Speaker 2: very quickly. Here is Neil Dutta of Renaissance Macro on 64 00:04:15,640 --> 00:04:17,240 Speaker 2: the economic data this morning. 65 00:04:17,440 --> 00:04:20,839 Speaker 4: When economics you have often different ways of measuring the 66 00:04:20,839 --> 00:04:23,880 Speaker 4: same kind of concept. You have cp GDI, you have 67 00:04:24,000 --> 00:04:27,760 Speaker 4: PC and CPI, and the PCE number it just covers them. 68 00:04:27,880 --> 00:04:31,760 Speaker 4: It has a much wider scope, right. That's why unlike 69 00:04:31,839 --> 00:04:36,359 Speaker 4: CPI forty percent is not shelter, right, I mean, because 70 00:04:36,360 --> 00:04:38,400 Speaker 4: they have it has a much wider scope. But also 71 00:04:39,600 --> 00:04:42,200 Speaker 4: it looks at things covering payments made on behalf of 72 00:04:42,200 --> 00:04:44,719 Speaker 4: an individual. I mean CPI only looks it out of 73 00:04:44,760 --> 00:04:47,080 Speaker 4: pocket expenses. So I think one way of thinking about 74 00:04:47,080 --> 00:04:51,120 Speaker 4: it is CPI kind of reflects what people think they 75 00:04:51,120 --> 00:04:54,080 Speaker 4: spend their money on, and the PC data reflects what 76 00:04:54,120 --> 00:04:57,160 Speaker 4: people accreate their money on. And I think that's one 77 00:04:57,160 --> 00:05:00,080 Speaker 4: of the reasons why that looking at pcee. 78 00:05:00,120 --> 00:05:03,440 Speaker 2: Neil Dudda there on the inflation report, the summary of it, 79 00:05:03,480 --> 00:05:05,440 Speaker 2: I mean, in the blur of all we did this morning, 80 00:05:06,240 --> 00:05:09,039 Speaker 2: I've got to admit I'm pretty much off target on it. 81 00:05:09,120 --> 00:05:12,240 Speaker 2: Other than to say there was a negative statistic for 82 00:05:12,400 --> 00:05:17,200 Speaker 2: inflation adjusted spending. That does get my attention. Some of 83 00:05:17,200 --> 00:05:20,120 Speaker 2: the voices we spoke to said, well, that's just one 84 00:05:20,240 --> 00:05:23,120 Speaker 2: data point and we'll have to see. But some very 85 00:05:23,120 --> 00:05:25,880 Speaker 2: good charts out today. I think it was Neil Dudda 86 00:05:26,720 --> 00:05:29,720 Speaker 2: Renmack that put up a chart showing the continued disinflation 87 00:05:29,880 --> 00:05:33,240 Speaker 2: of certain inflation sectors out there. Of course, all of 88 00:05:33,240 --> 00:05:38,559 Speaker 2: it wrapped around real estate as well. The single best 89 00:05:38,640 --> 00:05:42,440 Speaker 2: idea is just a set of conversations, and those conversations 90 00:05:42,480 --> 00:05:48,120 Speaker 2: happen in a blur. I can't begin to describe the 91 00:05:48,160 --> 00:05:51,320 Speaker 2: blur when there's breaking news and important news about trying 92 00:05:51,360 --> 00:05:54,520 Speaker 2: to get you the best voices that are out there. 93 00:05:54,520 --> 00:05:57,440 Speaker 2: I thought we were successful today to stay away from 94 00:05:57,480 --> 00:06:00,680 Speaker 2: punditry and to talk about the future the nation, the 95 00:06:00,720 --> 00:06:03,680 Speaker 2: future of our executive branch, and of course what we'll 96 00:06:03,720 --> 00:06:07,880 Speaker 2: see as we take this one hour exactly before scheduled 97 00:06:07,880 --> 00:06:12,000 Speaker 2: comments from the former President of the United States. We're 98 00:06:12,040 --> 00:06:15,400 Speaker 2: out an android on Apple car Play, look for that 99 00:06:15,640 --> 00:06:20,960 Speaker 2: on YouTube. Search for Bloomberg Podcasts and you can subscribe 100 00:06:21,000 --> 00:06:25,040 Speaker 2: to Bloomberg Podcasts. And that's important given just the wall 101 00:06:25,120 --> 00:06:27,840 Speaker 2: of news we're being hit with here in the end 102 00:06:27,880 --> 00:06:31,680 Speaker 2: of May, and on Apple podcasts of course, each day 103 00:06:31,720 --> 00:06:44,000 Speaker 2: we can, we give you single best idea