WEBVTT - Single Best Idea with Tom Keene: Nick Akerman & Neil Dutta

0:00:02.400 --> 0:00:13.400
<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news, the.

0:00:13.440 --> 0:00:16.800
<v Speaker 2>Single best idea and really want to speak about subscribing

0:00:16.840 --> 0:00:21.840
<v Speaker 2>to Bloomberg podcasts. Search Bloomberg Podcasts on YouTube to search

0:00:21.880 --> 0:00:25.720
<v Speaker 2>Bloomberg Surveillance, but all of our other product over the

0:00:25.760 --> 0:00:30.800
<v Speaker 2>weekend out of Apple Podcasts, extraordinary political coverage today. We'll

0:00:30.800 --> 0:00:33.280
<v Speaker 2>get to that in a moment, but I just really

0:00:33.280 --> 0:00:37.239
<v Speaker 2>can't emphasize enough the eclecticism away from what I'm doing

0:00:37.320 --> 0:00:41.000
<v Speaker 2>every day here at Bloomberg News and across all of

0:00:41.000 --> 0:00:45.120
<v Speaker 2>our audio and video product. It's just been an exhausting

0:00:45.200 --> 0:00:50.159
<v Speaker 2>and extraordinary twenty four hours. Last night, seven pm ish,

0:00:51.720 --> 0:00:54.440
<v Speaker 2>I did a quick call with the various people that

0:00:54.480 --> 0:00:57.960
<v Speaker 2>tell me what to do, and I said, there's only

0:00:58.000 --> 0:00:59.520
<v Speaker 2>one name I really want to talk to, and he's

0:00:59.520 --> 0:01:02.680
<v Speaker 2>a prosecut and lo and behold, Eric hit the ball

0:01:02.680 --> 0:01:04.360
<v Speaker 2>out of the park and we were able to line

0:01:04.440 --> 0:01:07.000
<v Speaker 2>up someone it's tough to get and for those of

0:01:07.040 --> 0:01:09.959
<v Speaker 2>you of a certain age, you will remember the name

0:01:10.040 --> 0:01:16.320
<v Speaker 2>Leon Jeworski. Nick Ackerman was an assistant to Leon Jeworski

0:01:16.440 --> 0:01:20.040
<v Speaker 2>at Watergate. He comes out of U mass Amherston, Harvard.

0:01:20.080 --> 0:01:28.039
<v Speaker 2>He's absolutely definitive, literally the stereotype of the grizzled prosecutor,

0:01:28.480 --> 0:01:33.640
<v Speaker 2>and he's hugely popular within the media because there's no flamboyancy.

0:01:33.680 --> 0:01:39.200
<v Speaker 2>There's none of this modern theatric stuff. It's literally what

0:01:39.400 --> 0:01:43.640
<v Speaker 2>Perry Mason tried to be fifty sixty years ago. It's

0:01:43.720 --> 0:01:49.480
<v Speaker 2>just straightforward discussion. I was thunderstruck at Nick Ackerman's comments

0:01:49.520 --> 0:01:50.080
<v Speaker 2>this morning.

0:01:50.520 --> 0:01:54.720
<v Speaker 3>Let's listen based on at least the fact that Michael

0:01:54.800 --> 0:02:01.200
<v Speaker 3>Cohen served three years for these violations, and that Alan Weiselberg,

0:02:01.880 --> 0:02:06.400
<v Speaker 3>the CFO of Trump Org, who is instrumental in setting

0:02:06.480 --> 0:02:11.639
<v Speaker 3>up the phony corporate records on this and the payments

0:02:11.680 --> 0:02:15.760
<v Speaker 3>that went out to reimburse Michael Cohen. He's already served

0:02:16.400 --> 0:02:21.280
<v Speaker 3>three months in Rikers Island for unrelated matters and now

0:02:21.320 --> 0:02:24.280
<v Speaker 3>he's serving three months another three months in Rikers Island

0:02:24.280 --> 0:02:27.160
<v Speaker 3>for Lyne. And I think the judge is going to

0:02:27.200 --> 0:02:30.440
<v Speaker 3>have to consider that here are two people that were

0:02:30.480 --> 0:02:34.960
<v Speaker 3>instrumental in this crime that did serve jail time, and

0:02:35.120 --> 0:02:37.360
<v Speaker 3>I find it hard to believe that he is not

0:02:37.440 --> 0:02:41.240
<v Speaker 3>going to feel compelled to give Donald Trump at least

0:02:41.480 --> 0:02:42.400
<v Speaker 3>some jail time.

0:02:42.840 --> 0:02:45.920
<v Speaker 2>Is it something creative and different or is it Are

0:02:45.960 --> 0:02:49.000
<v Speaker 2>you telling me the former president of the United States

0:02:49.000 --> 0:02:51.560
<v Speaker 2>could enjoy a month at Rikers Island.

0:02:51.880 --> 0:02:54.000
<v Speaker 3>Yeah, absolutely. I mean I think what they'd have to

0:02:54.040 --> 0:02:58.720
<v Speaker 3>do was create a presidential suite at Rikers Island because

0:02:58.760 --> 0:03:01.200
<v Speaker 3>the Secret Service has to be there with him. Obviously,

0:03:01.880 --> 0:03:06.280
<v Speaker 3>I think there is a very strong likelihood that he

0:03:06.400 --> 0:03:08.919
<v Speaker 3>is going to be sentenced to imprison them. Will he

0:03:09.040 --> 0:03:12.320
<v Speaker 3>be protected from other prisoners. I'll just be as direct

0:03:12.320 --> 0:03:15.720
<v Speaker 3>about it as I can. Absolutely, I don't see how

0:03:16.320 --> 0:03:19.079
<v Speaker 3>anyway he can be put into the general population.

0:03:19.919 --> 0:03:23.000
<v Speaker 2>Nick Ackerman, and I can say, in multiple decades of

0:03:23.080 --> 0:03:27.120
<v Speaker 2>doing this, that is one of the most extraordinary seven

0:03:27.160 --> 0:03:31.640
<v Speaker 2>minute conversations I've ever ever heard. Thanks to Joe Matthew

0:03:31.680 --> 0:03:35.040
<v Speaker 2>and Balance of Power for helping us deliver mister Ackerman

0:03:35.120 --> 0:03:38.920
<v Speaker 2>to you. I'm Bloomberg surveillance. So there was economic data

0:03:38.960 --> 0:03:42.480
<v Speaker 2>today as well, key inflation data, at least for the FED.

0:03:43.200 --> 0:03:47.320
<v Speaker 2>Jason Furman was along from Harvard University's Slice and Dy said,

0:03:47.400 --> 0:03:53.440
<v Speaker 2>I love Professor Furman's ecumenical inflation analysis, taking twenty four

0:03:53.560 --> 0:03:57.160
<v Speaker 2>data points from I believe it's eight series, I can't remember,

0:03:57.240 --> 0:04:00.400
<v Speaker 2>and he's got a fancy grid out there. You pass

0:04:00.440 --> 0:04:02.920
<v Speaker 2>fail for X ten and you know where I am

0:04:02.920 --> 0:04:07.080
<v Speaker 2>on that matrix. But Jason Furman, with an ecumenical CPI

0:04:08.040 --> 0:04:10.760
<v Speaker 2>market economists in the trenches have to react to this

0:04:10.920 --> 0:04:15.560
<v Speaker 2>very quickly. Here is Neil Dutta of Renaissance Macro on

0:04:15.640 --> 0:04:17.240
<v Speaker 2>the economic data this morning.

0:04:17.440 --> 0:04:20.839
<v Speaker 4>When economics you have often different ways of measuring the

0:04:20.839 --> 0:04:23.880
<v Speaker 4>same kind of concept. You have cp GDI, you have

0:04:24.000 --> 0:04:27.760
<v Speaker 4>PC and CPI, and the PCE number it just covers them.

0:04:27.880 --> 0:04:31.760
<v Speaker 4>It has a much wider scope, right. That's why unlike

0:04:31.839 --> 0:04:36.359
<v Speaker 4>CPI forty percent is not shelter, right, I mean, because

0:04:36.360 --> 0:04:38.400
<v Speaker 4>they have it has a much wider scope. But also

0:04:39.600 --> 0:04:42.200
<v Speaker 4>it looks at things covering payments made on behalf of

0:04:42.200 --> 0:04:44.719
<v Speaker 4>an individual. I mean CPI only looks it out of

0:04:44.760 --> 0:04:47.080
<v Speaker 4>pocket expenses. So I think one way of thinking about

0:04:47.080 --> 0:04:51.120
<v Speaker 4>it is CPI kind of reflects what people think they

0:04:51.120 --> 0:04:54.080
<v Speaker 4>spend their money on, and the PC data reflects what

0:04:54.120 --> 0:04:57.160
<v Speaker 4>people accreate their money on. And I think that's one

0:04:57.160 --> 0:05:00.080
<v Speaker 4>of the reasons why that looking at pcee.

0:05:00.120 --> 0:05:03.440
<v Speaker 2>Neil Dudda there on the inflation report, the summary of it,

0:05:03.480 --> 0:05:05.440
<v Speaker 2>I mean, in the blur of all we did this morning,

0:05:06.240 --> 0:05:09.039
<v Speaker 2>I've got to admit I'm pretty much off target on it.

0:05:09.120 --> 0:05:12.240
<v Speaker 2>Other than to say there was a negative statistic for

0:05:12.400 --> 0:05:17.200
<v Speaker 2>inflation adjusted spending. That does get my attention. Some of

0:05:17.200 --> 0:05:20.120
<v Speaker 2>the voices we spoke to said, well, that's just one

0:05:20.240 --> 0:05:23.120
<v Speaker 2>data point and we'll have to see. But some very

0:05:23.120 --> 0:05:25.880
<v Speaker 2>good charts out today. I think it was Neil Dudda

0:05:26.720 --> 0:05:29.720
<v Speaker 2>Renmack that put up a chart showing the continued disinflation

0:05:29.880 --> 0:05:33.240
<v Speaker 2>of certain inflation sectors out there. Of course, all of

0:05:33.240 --> 0:05:38.559
<v Speaker 2>it wrapped around real estate as well. The single best

0:05:38.640 --> 0:05:42.440
<v Speaker 2>idea is just a set of conversations, and those conversations

0:05:42.480 --> 0:05:48.120
<v Speaker 2>happen in a blur. I can't begin to describe the

0:05:48.160 --> 0:05:51.320
<v Speaker 2>blur when there's breaking news and important news about trying

0:05:51.360 --> 0:05:54.520
<v Speaker 2>to get you the best voices that are out there.

0:05:54.520 --> 0:05:57.440
<v Speaker 2>I thought we were successful today to stay away from

0:05:57.480 --> 0:06:00.680
<v Speaker 2>punditry and to talk about the future the nation, the

0:06:00.720 --> 0:06:03.680
<v Speaker 2>future of our executive branch, and of course what we'll

0:06:03.720 --> 0:06:07.880
<v Speaker 2>see as we take this one hour exactly before scheduled

0:06:07.880 --> 0:06:12.000
<v Speaker 2>comments from the former President of the United States. We're

0:06:12.040 --> 0:06:15.400
<v Speaker 2>out an android on Apple car Play, look for that

0:06:15.640 --> 0:06:20.960
<v Speaker 2>on YouTube. Search for Bloomberg Podcasts and you can subscribe

0:06:21.000 --> 0:06:25.040
<v Speaker 2>to Bloomberg Podcasts. And that's important given just the wall

0:06:25.120 --> 0:06:27.840
<v Speaker 2>of news we're being hit with here in the end

0:06:27.880 --> 0:06:31.680
<v Speaker 2>of May, and on Apple podcasts of course, each day

0:06:31.720 --> 0:06:44.000
<v Speaker 2>we can, we give you single best idea