1 00:00:02,520 --> 00:00:14,960 Speaker 1: Bloomberg Audio Studios, podcasts, radio news, single best idea People 2 00:00:15,000 --> 00:00:17,840 Speaker 1: ask off and when does my day start? It depends 3 00:00:17,960 --> 00:00:20,079 Speaker 1: if the Bentley is you know, there's a little traffic. 4 00:00:20,160 --> 00:00:23,200 Speaker 1: I may not get in until six point fifty eight 5 00:00:23,400 --> 00:00:26,080 Speaker 1: maybe or a little earlier six fifty five to start 6 00:00:26,079 --> 00:00:30,000 Speaker 1: the day. But sometimes there's a newsflow and the day 7 00:00:30,040 --> 00:00:32,560 Speaker 1: can start, like on a Sunday when it's Monday morning 8 00:00:32,560 --> 00:00:36,240 Speaker 1: in Japan's Sunday evening seven pm, when Asia opens, a 9 00:00:36,280 --> 00:00:39,960 Speaker 1: Pacific room opens, or we can blow up the show 10 00:00:40,000 --> 00:00:42,879 Speaker 1: at nine pm the night before and we've got a 11 00:00:42,880 --> 00:00:46,280 Speaker 1: whole team of surveillance people who are like, okay, we 12 00:00:46,360 --> 00:00:48,440 Speaker 1: have these plans of that, and all of a sudden 13 00:00:48,479 --> 00:00:51,080 Speaker 1: it stops and they have to adapt, as we all 14 00:00:51,080 --> 00:00:58,120 Speaker 1: did last night to this historic court decision on tariffs. 15 00:00:58,200 --> 00:01:02,280 Speaker 1: A massive thank you to David Gurra I thought was 16 00:01:02,320 --> 00:01:06,800 Speaker 1: of huge help with great perspective. Wendy Schiller I thought 17 00:01:06,959 --> 00:01:10,560 Speaker 1: was great at Brown University, much more on civics and 18 00:01:10,640 --> 00:01:14,360 Speaker 1: on the law. Back to James Madison cited in the 19 00:01:14,440 --> 00:01:19,440 Speaker 1: document and forward here Professor Schiller of Brown University. 20 00:01:20,000 --> 00:01:22,120 Speaker 2: When you think about the final word, who has the 21 00:01:22,120 --> 00:01:24,720 Speaker 2: final word? And the Trump administration is not that interested 22 00:01:25,160 --> 00:01:28,199 Speaker 2: in any other you know, structure in the American piblical 23 00:01:28,200 --> 00:01:31,480 Speaker 2: system having of power over them. You know, does everything 24 00:01:31,520 --> 00:01:34,280 Speaker 2: go to the Supreme Court? And the Supreme Court is 25 00:01:34,360 --> 00:01:36,360 Speaker 2: It's been interesting to watch. We have a lot of 26 00:01:36,440 --> 00:01:40,240 Speaker 2: decisions coming down in June that we can expect, and 27 00:01:40,360 --> 00:01:44,080 Speaker 2: you know, where do they reign in executive power? And 28 00:01:44,160 --> 00:01:46,080 Speaker 2: the important thing with the Supreme Court is to make 29 00:01:46,120 --> 00:01:48,800 Speaker 2: sure this isn't about Donald Trump. This is about the 30 00:01:48,800 --> 00:01:52,280 Speaker 2: balance of power in the system itself. So that's where 31 00:01:52,320 --> 00:01:55,560 Speaker 2: the education on tariff's lie. In immigration, we've seen the 32 00:01:55,560 --> 00:01:59,200 Speaker 2: Court say to the President and Congress. Congress has authority 33 00:01:59,240 --> 00:02:02,040 Speaker 2: to make the laws on immigration, make the laws. The 34 00:02:02,040 --> 00:02:05,760 Speaker 2: president cannot just create immigration law. So is that the 35 00:02:05,760 --> 00:02:09,120 Speaker 2: same thing that will be applied to tariffs. We're probably 36 00:02:09,120 --> 00:02:09,880 Speaker 2: about to find out. 37 00:02:10,360 --> 00:02:13,160 Speaker 1: Wendy Schuler, thank you so much for that. Just a 38 00:02:13,160 --> 00:02:15,960 Speaker 1: lot of other good voices today as well, and thank 39 00:02:16,000 --> 00:02:19,239 Speaker 1: you for your comments. I really can't say enough about 40 00:02:19,240 --> 00:02:23,080 Speaker 1: the heated debate engendered by Bloomberg surveillance among those in 41 00:02:23,120 --> 00:02:25,120 Speaker 1: the right and the left about the path forward for 42 00:02:25,200 --> 00:02:28,760 Speaker 1: the nation as we look at the judiciary, the legislative branch, 43 00:02:28,800 --> 00:02:32,600 Speaker 1: and of course, the executive branch and a minks to 44 00:02:32,600 --> 00:02:34,520 Speaker 1: all this. We do look at the markets and video 45 00:02:34,520 --> 00:02:38,200 Speaker 1: out yesterday and here we are today with an up market. 46 00:02:38,240 --> 00:02:41,120 Speaker 1: We'll see where we are at four pm. But you know, 47 00:02:41,200 --> 00:02:43,640 Speaker 1: there it is. It's been a rally. I noticed Microsoft 48 00:02:43,680 --> 00:02:46,240 Speaker 1: almost out to a record high. Here is a quiet 49 00:02:46,280 --> 00:02:51,919 Speaker 1: story of Q two. Anastasia rosoid ikep. She's been very 50 00:02:52,000 --> 00:02:56,720 Speaker 1: optimistic about participating in the stock market. We get an 51 00:02:56,800 --> 00:02:58,280 Speaker 1: update from Anastasia. 52 00:02:58,880 --> 00:03:00,880 Speaker 3: I still think there's an agree with here out there. 53 00:03:00,880 --> 00:03:03,160 Speaker 3: But I'll just quote these stats. You know that. You know, 54 00:03:03,240 --> 00:03:06,840 Speaker 3: back in April you had about sixty six percent of 55 00:03:06,880 --> 00:03:09,720 Speaker 3: investors that were bearish. That is not the number today. 56 00:03:09,720 --> 00:03:13,160 Speaker 3: It's probably closer to thirty percent now. Couple, it's a 57 00:03:13,160 --> 00:03:15,880 Speaker 3: big reversal. A couple of weeks ago, you probably had 58 00:03:15,960 --> 00:03:19,480 Speaker 3: only twenty percent of investors that were bullish. Today that's 59 00:03:19,520 --> 00:03:22,640 Speaker 3: about thirty seven percent, But it's not fifty It's not 60 00:03:22,720 --> 00:03:24,560 Speaker 3: half of the investors that we're in the bullish camp 61 00:03:24,639 --> 00:03:26,640 Speaker 3: to start of the year. So I think we need 62 00:03:26,680 --> 00:03:27,680 Speaker 3: a few more to join. 63 00:03:27,520 --> 00:03:31,600 Speaker 1: The part data foundation. That's what Anastasia Amorros is known 64 00:03:31,639 --> 00:03:34,120 Speaker 1: for is just look at the data to come to 65 00:03:34,200 --> 00:03:39,440 Speaker 1: conclusion and confidence in the market. She remains participating in 66 00:03:39,480 --> 00:03:43,440 Speaker 1: the market accrossination, on Android, Auto, Apple Car, played good 67 00:03:43,440 --> 00:03:46,480 Speaker 1: Morning to ninety nine to one FM in Washington and 68 00:03:46,520 --> 00:03:49,520 Speaker 1: good Morning a special good Morning to ninety to nine 69 00:03:49,960 --> 00:03:54,000 Speaker 1: FM in Boston at a lot of value out of 70 00:03:54,040 --> 00:04:00,000 Speaker 1: there today among our good good guests. We're on YouTube, crossination, Subscribe, 71 00:04:00,040 --> 00:04:04,240 Speaker 1: I'm to Bloomberg Podcasts and out at YouTube podcasts. It's 72 00:04:04,280 --> 00:04:07,960 Speaker 1: single best idea m