1 00:00:03,520 --> 00:00:07,400 Speaker 1: This is Bloomberg surveillance that it often saved to the 2 00:00:07,480 --> 00:00:10,160 Speaker 1: UK only event far wider than that. But I think 3 00:00:10,160 --> 00:00:13,000 Speaker 1: they will most likely vote to remain within the European Union. 4 00:00:13,240 --> 00:00:16,520 Speaker 1: Roughly forty old out two hundreds saying the UK could leave. 5 00:00:16,760 --> 00:00:19,080 Speaker 1: So it's definitely a risk that the market has had 6 00:00:19,120 --> 00:00:21,280 Speaker 1: the price. Then if you look at the spread between 7 00:00:21,360 --> 00:00:25,360 Speaker 1: the federal funds rate and the Kenya it is flattened enormously, 8 00:00:25,600 --> 00:00:28,560 Speaker 1: even if the federal funds rate were to increase. Bloomberg 9 00:00:28,640 --> 00:00:32,360 Speaker 1: Surveillance your link to the world of economics, finance and 10 00:00:32,479 --> 00:00:36,400 Speaker 1: investment on Bloomberg Radio. Good running everyone, Mike McKee and 11 00:00:36,440 --> 00:00:39,680 Speaker 1: Tom Keen this Friday. I hope you travel well across 12 00:00:39,720 --> 00:00:42,520 Speaker 1: America this weekend. You're runing to all of you worldwide 13 00:00:42,880 --> 00:00:45,319 Speaker 1: as we in America go into a three day, three 14 00:00:45,440 --> 00:00:49,559 Speaker 1: day weekend, I say, very exciting. Um, I just learned, Mike, 15 00:00:49,600 --> 00:00:53,040 Speaker 1: I'm not here Monday. I didn't know that. Well, glad 16 00:00:53,320 --> 00:00:55,520 Speaker 1: you finally found out, because you'd be honestly lonely if 17 00:00:55,560 --> 00:00:57,800 Speaker 1: you came in here. We am teaching John Farroll this 18 00:00:57,840 --> 00:01:02,400 Speaker 1: weekend about cray paper and bicycle wheel and hot dogs 19 00:01:00,800 --> 00:01:06,160 Speaker 1: and American traditions. Yes, Bloomberg surveillance I brought to my 20 00:01:06,280 --> 00:01:10,360 Speaker 1: Cone RESIDEC Accounting, tax Advisory. Is your business ready to 21 00:01:10,800 --> 00:01:14,560 Speaker 1: break through? See other professionals at Cone resident can help 22 00:01:14,640 --> 00:01:20,560 Speaker 1: guide your business forward. Find out more at consid dot com. 23 00:01:20,640 --> 00:01:22,520 Speaker 1: We need to take a pole, Mike. Who should we 24 00:01:22,560 --> 00:01:27,000 Speaker 1: speak to? Um? Well, we should speak to Frank Newport 25 00:01:27,040 --> 00:01:30,840 Speaker 1: because he is Mr pol He's the editor in chief 26 00:01:30,840 --> 00:01:35,160 Speaker 1: of Gallup, and they are the people who, above all 27 00:01:35,200 --> 00:01:38,160 Speaker 1: are known for calling people up and asking what they think. 28 00:01:38,520 --> 00:01:42,120 Speaker 1: And I know that this two thousand sixteen presidential campaign 29 00:01:42,160 --> 00:01:44,560 Speaker 1: here they're doing a lot of that. So we wish 30 00:01:45,000 --> 00:01:48,760 Speaker 1: good morning to you, Frank. And Uh, now that I've 31 00:01:48,960 --> 00:01:50,720 Speaker 1: built you up, let me tear it down a little 32 00:01:50,720 --> 00:01:53,920 Speaker 1: bit and ask, uh, do we really get a lot 33 00:01:53,920 --> 00:01:59,720 Speaker 1: of information about that that that's useful about the presidential 34 00:01:59,760 --> 00:02:03,840 Speaker 1: camp paying this far out from the election? Well, it 35 00:02:03,920 --> 00:02:07,840 Speaker 1: depends how's this mimicking Bill Clinton? What's your definition of 36 00:02:08,360 --> 00:02:13,680 Speaker 1: useful is right? Or what your definition of information is? Um? 37 00:02:13,720 --> 00:02:16,959 Speaker 1: I think that the classic horse race polling, which we're 38 00:02:17,000 --> 00:02:20,720 Speaker 1: not doing at this phase, doesn't tell you much at all. 39 00:02:20,880 --> 00:02:23,400 Speaker 1: It's of information and of interest to kind of know 40 00:02:23,600 --> 00:02:26,559 Speaker 1: where the two candidates stand. But in terms of being predictive, 41 00:02:27,360 --> 00:02:29,600 Speaker 1: it tells us very little at this stage. But there 42 00:02:29,639 --> 00:02:32,359 Speaker 1: are other questions and other things that we can divine 43 00:02:32,520 --> 00:02:36,040 Speaker 1: about the American elector which are I think quite interesting 44 00:02:36,120 --> 00:02:39,560 Speaker 1: at this point. For example, what people think about the candidates, 45 00:02:39,560 --> 00:02:43,360 Speaker 1: their images, how that compares the images previously and also importantly, 46 00:02:44,320 --> 00:02:48,600 Speaker 1: um issues, what Americans want these people to be looking 47 00:02:48,639 --> 00:02:51,399 Speaker 1: at and how well they think they would address those issues? Well, 48 00:02:51,400 --> 00:02:56,600 Speaker 1: the presumptive honestly presumptive, but the likely maybe Democratic nominees. 49 00:02:56,800 --> 00:03:00,880 Speaker 1: Husband once made famous the phrase it's the economy stupid? 50 00:03:01,680 --> 00:03:04,120 Speaker 1: Is it the economy stupid? This year? Is is that 51 00:03:04,200 --> 00:03:09,400 Speaker 1: above everything else as an issue? Yes? How's that for 52 00:03:09,480 --> 00:03:13,640 Speaker 1: a quick answer? Right? Uh yeah, we just we just 53 00:03:13,639 --> 00:03:17,480 Speaker 1: just been analyzing the day again. We just ask americans, um, 54 00:03:17,680 --> 00:03:19,760 Speaker 1: what is the number one issue, single issue you would 55 00:03:19,760 --> 00:03:22,160 Speaker 1: want to do president to address? And here she takes office. 56 00:03:22,760 --> 00:03:25,400 Speaker 1: We just ask most the most important problem pace in 57 00:03:25,440 --> 00:03:27,400 Speaker 1: the country. We just said, here's a list of issues 58 00:03:27,440 --> 00:03:29,600 Speaker 1: for each one. How is important is it for the 59 00:03:29,600 --> 00:03:32,440 Speaker 1: candidates to be talking about it? And economic issues? The 60 00:03:32,480 --> 00:03:34,880 Speaker 1: economy comes to the top of any of those ways 61 00:03:34,880 --> 00:03:36,720 Speaker 1: that we have of looking at it at this point, 62 00:03:37,000 --> 00:03:38,680 Speaker 1: and that includes a lot of ways of looking at 63 00:03:38,680 --> 00:03:41,160 Speaker 1: the economy. A lot of Americans simply say the economy 64 00:03:41,160 --> 00:03:44,160 Speaker 1: and answer to those opening questions. Others say jobs, Others 65 00:03:44,200 --> 00:03:47,240 Speaker 1: say being able to make a looking wage. But there's 66 00:03:47,240 --> 00:03:50,000 Speaker 1: no question if if we're talking to both the Clinton 67 00:03:50,040 --> 00:03:53,200 Speaker 1: and Trump, we would say it's the economy stupid again 68 00:03:53,240 --> 00:03:57,120 Speaker 1: this year. What frustrates you the most about pulling in 69 00:03:57,640 --> 00:04:01,080 Speaker 1: May of two thousands sixteen. Oh, that's a great question. 70 00:04:01,120 --> 00:04:04,440 Speaker 1: I've been doing this for many, many years. Um, so 71 00:04:04,520 --> 00:04:06,920 Speaker 1: how would I answer? I think one of the things 72 00:04:06,960 --> 00:04:11,080 Speaker 1: that I've written about and consistently is disturbing about polling 73 00:04:11,520 --> 00:04:14,520 Speaker 1: is the fact that people will put single questions out 74 00:04:14,560 --> 00:04:16,720 Speaker 1: and assume this represents truths on the part of the 75 00:04:16,760 --> 00:04:19,480 Speaker 1: American public. For example, I recently see an end at 76 00:04:19,480 --> 00:04:24,680 Speaker 1: a poll on the transgender issue word in a particular way, 77 00:04:24,720 --> 00:04:26,839 Speaker 1: and that was out there, and people said, oh, Americans 78 00:04:26,839 --> 00:04:32,560 Speaker 1: are opposed to rules which would control which bathroom transgender 79 00:04:32,560 --> 00:04:35,119 Speaker 1: individuals could use. And yet when the New York Times 80 00:04:35,120 --> 00:04:36,960 Speaker 1: poll come out, and IRIS came out and others come 81 00:04:36,960 --> 00:04:38,800 Speaker 1: out where we had asked it in a different way, 82 00:04:38,800 --> 00:04:41,320 Speaker 1: we found a different result. So It's kind of like 83 00:04:41,400 --> 00:04:44,320 Speaker 1: medical research. As we've talked about before. You have to 84 00:04:44,360 --> 00:04:46,880 Speaker 1: look at the totality of research and not just rely 85 00:04:47,000 --> 00:04:49,760 Speaker 1: on anyone question to try to summarize the American public. 86 00:04:50,160 --> 00:04:52,400 Speaker 1: The second thing to frustrates me is when critics come 87 00:04:52,400 --> 00:04:56,200 Speaker 1: along and kind of capitaliersy say, oh, poles On do 88 00:04:56,240 --> 00:04:57,920 Speaker 1: a good job to represented the public, or they don't 89 00:04:57,920 --> 00:05:01,240 Speaker 1: call cell phones totally wrong, And I think that's too much, 90 00:05:01,279 --> 00:05:03,880 Speaker 1: too fast out. Let's frustrate to when I hear those 91 00:05:03,960 --> 00:05:06,760 Speaker 1: kind of things. Well, how do you answer that issue 92 00:05:06,800 --> 00:05:10,240 Speaker 1: about the cell phones? Oh, well, we call six of 93 00:05:10,279 --> 00:05:12,120 Speaker 1: all of our interviews with cell phones soon going to 94 00:05:12,200 --> 00:05:15,520 Speaker 1: be higher than that. So poultrs are well aware of 95 00:05:15,560 --> 00:05:19,280 Speaker 1: the fact that you know, almost half of Americans don't 96 00:05:19,320 --> 00:05:22,120 Speaker 1: have landlines anymore, and we take that into account, and 97 00:05:22,120 --> 00:05:25,000 Speaker 1: we're constantly adjusting how we do interviewing to take that 98 00:05:25,040 --> 00:05:30,320 Speaker 1: into account. Uh. Is it harder though, because young young people, 99 00:05:30,360 --> 00:05:33,880 Speaker 1: the majority whose only phone is a cell phone? Are 100 00:05:33,880 --> 00:05:36,680 Speaker 1: they less likely to pick up when Frank Newport's on 101 00:05:36,720 --> 00:05:38,600 Speaker 1: the other end of the line. Well, of course, of 102 00:05:38,640 --> 00:05:41,520 Speaker 1: the new it was me, they wouldn't be. But well, yes, 103 00:05:41,560 --> 00:05:45,479 Speaker 1: there are troubles with any kind of methodology. You know, 104 00:05:45,520 --> 00:05:47,880 Speaker 1: George Gallup used to go around a knock on people's 105 00:05:47,920 --> 00:05:50,240 Speaker 1: doors and a lot of people wouldn't enter the door 106 00:05:50,360 --> 00:05:52,600 Speaker 1: and let an interview with the clipboard comes into the 107 00:05:52,640 --> 00:05:54,680 Speaker 1: living room for thirty minutes, which he used to do 108 00:05:54,960 --> 00:05:59,320 Speaker 1: his people used to do. So they're always issues and challenges. Um, 109 00:05:59,360 --> 00:06:00,839 Speaker 1: we have a lot of people who don't pick up 110 00:06:00,920 --> 00:06:03,839 Speaker 1: land lines now because they say nobody calls in the landline. 111 00:06:03,880 --> 00:06:07,839 Speaker 1: So those are challenges. We're continuing in other firms to 112 00:06:08,000 --> 00:06:10,160 Speaker 1: look at other ways of getting hold of people and 113 00:06:10,200 --> 00:06:12,880 Speaker 1: talking to them. But right now we think we still 114 00:06:12,920 --> 00:06:15,520 Speaker 1: can do a pretty good job even with the challenges 115 00:06:16,120 --> 00:06:19,719 Speaker 1: getting representative sampled by cell phones and landlines. What have 116 00:06:19,800 --> 00:06:24,120 Speaker 1: you pulled about after Sanders? If we assume there's an 117 00:06:24,200 --> 00:06:30,559 Speaker 1: after Bernie Sanders, what does your pulling tell you? Well, Um, 118 00:06:30,680 --> 00:06:34,000 Speaker 1: we've asked in the past Sanders people whether they would 119 00:06:34,080 --> 00:06:36,279 Speaker 1: vote for Hillary and the majority said they would. And 120 00:06:36,320 --> 00:06:38,720 Speaker 1: whether they say they would or not now is not 121 00:06:39,000 --> 00:06:43,760 Speaker 1: as valid as we might think, because, as Hillary Clinton 122 00:06:43,800 --> 00:06:46,160 Speaker 1: has been saying on the campaign trail, a lot of 123 00:06:46,160 --> 00:06:48,480 Speaker 1: her people back in Owait said they would never vote 124 00:06:48,480 --> 00:06:50,920 Speaker 1: for Obama. And I think most of them ended up 125 00:06:50,920 --> 00:06:53,360 Speaker 1: doing it when he got the nomination. So I think 126 00:06:53,400 --> 00:06:56,800 Speaker 1: that Sanders people will come around her challenge. Her campaigns 127 00:06:56,880 --> 00:07:01,359 Speaker 1: challenges turn out. Young people would vote, will probably vote 128 00:07:01,360 --> 00:07:05,000 Speaker 1: for proportionately. There tend to be Democrats, of course, but 129 00:07:05,160 --> 00:07:07,160 Speaker 1: whether they're incited to turn out will be the real 130 00:07:07,279 --> 00:07:13,240 Speaker 1: challenge for for a Secretary Clinton. Now, obviously yours and 131 00:07:13,280 --> 00:07:17,760 Speaker 1: other polls have shown that neither Kennedy just particularly well liked. 132 00:07:18,640 --> 00:07:23,440 Speaker 1: Uh which direction are those numbers moving or are they 133 00:07:23,520 --> 00:07:27,640 Speaker 1: because we know them so well fixed? No, they're not fixed. 134 00:07:27,920 --> 00:07:30,080 Speaker 1: Look at Hillary Clinton's image if you do a graph 135 00:07:30,160 --> 00:07:31,920 Speaker 1: of it back to nine two, It's been up and 136 00:07:31,960 --> 00:07:34,400 Speaker 1: down like a roller coaster. So we have clear history 137 00:07:34,480 --> 00:07:37,680 Speaker 1: that her image can change. Very positive when she was 138 00:07:37,680 --> 00:07:39,440 Speaker 1: a Secretary of State, very positive when she was a 139 00:07:39,520 --> 00:07:41,640 Speaker 1: senator from the state of New York. Very positive when 140 00:07:41,640 --> 00:07:45,120 Speaker 1: her husband's being impeached, but very negative stay back in 141 00:07:45,160 --> 00:07:47,760 Speaker 1: a way. But she was running, so things can change. 142 00:07:47,960 --> 00:07:51,200 Speaker 1: Donald Trump's image is becoming a little more positive now 143 00:07:51,280 --> 00:07:54,840 Speaker 1: that he's consolidated thenmination on the part of the Republican Party. 144 00:07:54,880 --> 00:07:58,640 Speaker 1: But we have evidence from another BB How's that billionaire 145 00:07:58,680 --> 00:08:03,440 Speaker 1: businessman Ross Baro back in that his energy could change dramatically, 146 00:08:03,480 --> 00:08:05,920 Speaker 1: that his Trump's at the convention, let's say here some 147 00:08:06,000 --> 00:08:10,000 Speaker 1: other times. But you bring up an important point. Do 148 00:08:10,080 --> 00:08:13,360 Speaker 1: we know too much about Secretary Clinton? Does she have 149 00:08:13,840 --> 00:08:17,600 Speaker 1: too much pulling or analysis? As you say it? Do 150 00:08:17,680 --> 00:08:21,000 Speaker 1: we do we do? We strive for candidates that actually 151 00:08:21,000 --> 00:08:26,160 Speaker 1: we know little about. I'll not necessarily so. Uh. You know, 152 00:08:26,200 --> 00:08:28,760 Speaker 1: that's an interesting question. Do we want a new face 153 00:08:28,840 --> 00:08:32,760 Speaker 1: or an old face? Which I don't have a direct 154 00:08:32,800 --> 00:08:36,080 Speaker 1: answer to if that's what you're asking. Um, I think 155 00:08:36,720 --> 00:08:40,440 Speaker 1: in a broader sense at this point, Americans are many 156 00:08:40,480 --> 00:08:44,480 Speaker 1: Americans are attracted to Trump because he is not necessarily 157 00:08:44,559 --> 00:08:46,400 Speaker 1: knew by the way we found we were pulling about 158 00:08:46,400 --> 00:08:48,840 Speaker 1: Trump in eleven so he's been on the political scene 159 00:08:48,880 --> 00:08:50,959 Speaker 1: a little longer than people think. He has been rumbling 160 00:08:50,960 --> 00:08:54,200 Speaker 1: about running. I think people are looking for somebody who 161 00:08:54,200 --> 00:08:57,600 Speaker 1: can who can change the process of our government works. 162 00:08:57,760 --> 00:09:02,040 Speaker 1: What does your pulling say about the minimum wage is 163 00:09:02,040 --> 00:09:06,560 Speaker 1: an economic tomic? Oh? That absolutely, We've been looking at 164 00:09:06,600 --> 00:09:10,880 Speaker 1: that for decades. Overwhelmingly favor whatever we've asked over the years. 165 00:09:10,880 --> 00:09:13,760 Speaker 1: However we asked over the years, the significant majority of 166 00:09:13,800 --> 00:09:17,320 Speaker 1: Americans say yes, Americans say yes, most recently to raising 167 00:09:17,360 --> 00:09:24,520 Speaker 1: it to fifteen dollars. Yes, the significant majority say, and uh, 168 00:09:24,679 --> 00:09:28,559 Speaker 1: is there any dollar figure attached or just the idea 169 00:09:28,600 --> 00:09:32,200 Speaker 1: of higher wage. Well, we've asked over the years with 170 00:09:32,240 --> 00:09:34,560 Speaker 1: dollar figures and without, But as I just mentioned, we 171 00:09:34,679 --> 00:09:38,719 Speaker 1: did specifically say most recently, do favor, opposed, agree, or 172 00:09:38,760 --> 00:09:41,000 Speaker 1: disagree with the idea of raising the minimum wage to 173 00:09:41,080 --> 00:09:44,840 Speaker 1: fifteen dollars by the year, which is a standards proposal, 174 00:09:45,280 --> 00:09:47,920 Speaker 1: And we got a significant majority who say yes, they 175 00:09:47,960 --> 00:09:53,160 Speaker 1: favor that. Let's come back with new editor in chief 176 00:09:53,400 --> 00:09:56,680 Speaker 1: of gallup of so many, so many questions to ask 177 00:09:56,720 --> 00:09:59,040 Speaker 1: a man who answers asked questions for a living, Yeah, 178 00:09:59,600 --> 00:10:02,520 Speaker 1: is razing the changes. I still have trouble Mike with 179 00:10:02,600 --> 00:10:08,080 Speaker 1: a completely narcissistic idea. No one's ever called me that 180 00:10:08,400 --> 00:10:10,360 Speaker 1: you're touching on a question I want to ask. Yeah, 181 00:10:10,679 --> 00:10:12,880 Speaker 1: we gotta. I want to go back to the polling types. 182 00:10:12,920 --> 00:10:16,959 Speaker 1: And also off of Fred Manju's really interesting article in 183 00:10:17,000 --> 00:10:19,880 Speaker 1: The New York Times earlier this week about what Frank 184 00:10:19,960 --> 00:10:23,480 Speaker 1: thinks about polling millennials, which is a stereotype of the moment, 185 00:10:23,520 --> 00:10:26,439 Speaker 1: but nevertheless important as we try to go plus or 186 00:10:26,480 --> 00:10:30,959 Speaker 1: minus three or four percent forward to November, Free Newport 187 00:10:31,520 --> 00:10:34,080 Speaker 1: with Gallup thrilled to have him with us. Uh this 188 00:10:34,240 --> 00:10:38,079 Speaker 1: hour the markets. It's not like Job's Day, quiet before 189 00:10:38,200 --> 00:10:41,800 Speaker 1: Jobs Day or FED Day quiet of course Fed Day June. 190 00:10:42,080 --> 00:10:44,640 Speaker 1: But there's a churn into the market this morning. Brent 191 00:10:44,960 --> 00:10:52,679 Speaker 1: forty nine zero one a barrel this morning. That's check 192 00:10:52,720 --> 00:10:54,360 Speaker 1: in with Michael Barr and get the latest world in 193 00:10:54,480 --> 00:10:56,920 Speaker 1: national headlines. Michael, Mike, Tom, thank you very much. A 194 00:10:57,040 --> 00:10:59,920 Speaker 1: beacon has been detected in the search for the egypt 195 00:11:00,080 --> 00:11:03,760 Speaker 1: airplane that crashed last week with sixty six people on board. 196 00:11:04,160 --> 00:11:06,480 Speaker 1: The beacon helps narrow the search to a three mile 197 00:11:06,640 --> 00:11:10,640 Speaker 1: radius in the Mediterranean. Meanwhile, a French vessel has joined 198 00:11:10,640 --> 00:11:13,280 Speaker 1: the search. It has equipment that can find the all 199 00:11:13,360 --> 00:11:18,040 Speaker 1: important flight data and cockpit voice recorders. President Barack Obama 200 00:11:18,120 --> 00:11:21,640 Speaker 1: visited the Hiroshima Peace Memorial Park in Japan today and 201 00:11:21,640 --> 00:11:24,719 Speaker 1: paid tribute to the one forty thousand people killed when 202 00:11:24,760 --> 00:11:29,360 Speaker 1: the U West dropped in atomicbomb August sixth n President 203 00:11:29,360 --> 00:11:31,960 Speaker 1: Obama said death fell from the sky and the world 204 00:11:32,080 --> 00:11:34,959 Speaker 1: was changed. A New York City man has been sentenced 205 00:11:34,960 --> 00:11:37,800 Speaker 1: to six years in prison for calling nine one one 206 00:11:37,920 --> 00:11:42,080 Speaker 1: more than fifty times to report fake emergencies. Global News 207 00:11:42,080 --> 00:11:44,800 Speaker 1: twenty four hours a day, powered by our twenty four 208 00:11:44,880 --> 00:11:47,360 Speaker 1: hundred journalists and more than a hundred fifty news bureaus 209 00:11:47,400 --> 00:11:50,480 Speaker 1: around the world. Down Michael bar Michael, thanks so much. Yeah, 210 00:11:50,520 --> 00:11:52,680 Speaker 1: and one oh nine sixty six A little bit of 211 00:11:52,679 --> 00:11:56,079 Speaker 1: strength over the last few days is Michael mcketh mentioned 212 00:11:56,120 --> 00:12:00,800 Speaker 1: dollar strength and three on d x Y with Frank 213 00:12:00,840 --> 00:12:06,960 Speaker 1: Newport of Gallup Bloomberg Surveillance. The news update brought you 214 00:12:07,000 --> 00:12:08,599 Speaker 1: by Sector Spider e t S. Why do I have 215 00:12:08,679 --> 00:12:10,840 Speaker 1: single stock when you can invest in the entire sector? 216 00:12:10,960 --> 00:12:15,319 Speaker 1: Visit sector spdrs dot com. We're called one sector e 217 00:12:15,480 --> 00:12:24,800 Speaker 1: t N. Global Business News twenty four hours a day 218 00:12:25,000 --> 00:12:28,000 Speaker 1: at Bloomberg dot com, the Radio plus mobile app and 219 00:12:28,080 --> 00:12:32,040 Speaker 1: on your radio. This is a Bloomberg Business Flash and 220 00:12:32,080 --> 00:12:34,960 Speaker 1: I'm caring Moscow. U S no index futures remain, little 221 00:12:35,000 --> 00:12:37,320 Speaker 1: change to hire and we go to the first Word 222 00:12:37,360 --> 00:12:40,439 Speaker 1: Breaking news desk for today's morning call. Here's Bill Maloney, 223 00:12:40,480 --> 00:12:43,360 Speaker 1: Good morning, Bill, Good morning Karen. That's right. U S. 224 00:12:43,440 --> 00:12:46,440 Speaker 1: You just remained quiet today dot You just currently hired 225 00:12:46,440 --> 00:12:49,760 Speaker 1: by fourteen points. SPS gained two and as a futures 226 00:12:49,840 --> 00:12:52,720 Speaker 1: rise by seven the US ten yield at one point 227 00:12:52,800 --> 00:12:55,840 Speaker 1: eight two per cent on the US Economic Frinday eight 228 00:12:55,840 --> 00:12:59,640 Speaker 1: thirty GDP stimate point nine percent at ten o'clock Michigan 229 00:12:59,720 --> 00:13:03,280 Speaker 1: sent it and at one fifteen yelling speaks in Cambridge 230 00:13:03,640 --> 00:13:06,840 Speaker 1: after the LS night, Decker's year view trailed estimates. Pal 231 00:13:06,920 --> 00:13:10,480 Speaker 1: Alto Networks you for revenueview midpoint also trailed estimates. Shares 232 00:13:10,480 --> 00:13:13,880 Speaker 1: it down eleven percent pre market and Ultra Salon boosted 233 00:13:14,080 --> 00:13:17,960 Speaker 1: RPS growth and COMPS sales views Regarding airings this morning, 234 00:13:17,960 --> 00:13:20,920 Speaker 1: Big Lots raised your just DPS views and a deal 235 00:13:20,960 --> 00:13:24,440 Speaker 1: knows Thermo Fisher Scientific to buy f EI Company for 236 00:13:24,520 --> 00:13:28,400 Speaker 1: one oh seven fifties share in cash. Terek's ended Chinese 237 00:13:28,440 --> 00:13:31,520 Speaker 1: suitor talks proceeds with cob Crane's deal, and The Wall 238 00:13:31,559 --> 00:13:35,400 Speaker 1: Street Journal reported Valient rejected a takeover bid from Takeda 239 00:13:35,600 --> 00:13:38,840 Speaker 1: NTPG and other news lending clubs set in talks with 240 00:13:38,920 --> 00:13:42,079 Speaker 1: City Group for loan financing, finding some of your Wall 241 00:13:42,080 --> 00:13:45,200 Speaker 1: Street upgrades and downgrades. Deckers cut to neutral versus by 242 00:13:45,240 --> 00:13:47,880 Speaker 1: over at City Group at Deutsche Bank, Trina Solar and 243 00:13:47,920 --> 00:13:51,240 Speaker 1: paal Alto Networks cut to hold Sitizen Farms downgraded to 244 00:13:51,280 --> 00:13:54,360 Speaker 1: neutral at JP. Morgan and Nice Systems cut to neutral 245 00:13:54,679 --> 00:13:57,480 Speaker 1: over at UBS Live from the First Breaking News desk 246 00:13:57,559 --> 00:14:00,320 Speaker 1: on Bow Maloney Karen, all right, thanks Bill the here 247 00:14:00,360 --> 00:14:02,960 Speaker 1: lie breaking news over your Bloomberg type squaw go on 248 00:14:03,000 --> 00:14:05,199 Speaker 1: your terminal. Let's ask you you a w k go. 249 00:14:05,400 --> 00:14:08,640 Speaker 1: That's a Bloomberg business flash, Tom and Mike Karen, thanks 250 00:14:08,640 --> 00:14:11,839 Speaker 1: so much. Bloomberg Surveillance brought you buy Investco to the 251 00:14:11,920 --> 00:14:16,520 Speaker 1: day's headlines. That you're searching for more investment views Investco's experts. 252 00:14:17,080 --> 00:14:20,000 Speaker 1: They can help find the latest thought leadership at the 253 00:14:20,040 --> 00:14:25,680 Speaker 1: investco blog. Visit investco dot com slash us to subscribe. 254 00:14:25,760 --> 00:14:28,400 Speaker 1: Were at Frank Newport of Gallop. Are really flushing out 255 00:14:28,800 --> 00:14:32,280 Speaker 1: some of the polling dynamics that we see. Always interesting, Frank. 256 00:14:32,680 --> 00:14:35,680 Speaker 1: One of the moments this week was Greg Valier's uh 257 00:14:36,000 --> 00:14:41,280 Speaker 1: sharp research note over the Horizon on Mr Trump talking 258 00:14:41,880 --> 00:14:45,720 Speaker 1: to the Governor of New Mexico in a more challenging way. 259 00:14:46,680 --> 00:14:50,640 Speaker 1: Is Mr Trump figures out how to speak to Hispanic 260 00:14:50,760 --> 00:14:56,160 Speaker 1: slash Latinos slash this slash that. What does your polling 261 00:14:56,360 --> 00:15:02,200 Speaker 1: say about the dynamics of Latino America? Well, there's no 262 00:15:02,320 --> 00:15:05,200 Speaker 1: question about it. They are negative on Trump. After he 263 00:15:05,280 --> 00:15:07,640 Speaker 1: made that statement in New Mexico, we looked at our 264 00:15:07,680 --> 00:15:12,360 Speaker 1: bigger samples at his image among female Hispanics and found 265 00:15:12,400 --> 00:15:15,840 Speaker 1: it was a nine favorable image overall for the worst 266 00:15:15,840 --> 00:15:18,760 Speaker 1: of any group we have in America. So he certainly 267 00:15:19,440 --> 00:15:22,920 Speaker 1: when he's talking to a female Hispanic governor, or about 268 00:15:23,080 --> 00:15:27,080 Speaker 1: a female Hispanic governor, it has a group there that 269 00:15:27,200 --> 00:15:30,840 Speaker 1: she represents, which at this point are extremely negative about Trump. 270 00:15:30,880 --> 00:15:34,240 Speaker 1: In fact, most most groups who don't identify their race 271 00:15:34,400 --> 00:15:39,040 Speaker 1: or ethnicity is white, were not Hispanic, are very negative 272 00:15:39,080 --> 00:15:42,920 Speaker 1: about Trump, his main constituency of those who like him 273 00:15:43,000 --> 00:15:46,400 Speaker 1: or white. If you say to our interviewers, I'm Hispanic 274 00:15:46,520 --> 00:15:49,600 Speaker 1: or I'm black, where I'm Asian something else very negative 275 00:15:49,640 --> 00:15:58,520 Speaker 1: about Trump. How firm are Trump and Clinton's support right now? Uh? 276 00:15:59,800 --> 00:16:04,560 Speaker 1: We gets such angry letters from people when they believe 277 00:16:04,640 --> 00:16:08,480 Speaker 1: we're criticizing one or the other. They really harden their 278 00:16:08,520 --> 00:16:13,160 Speaker 1: supporter or their persuadables out there. All they're clearly persuadable. Uh. 279 00:16:13,480 --> 00:16:15,320 Speaker 1: You know. The fact of the matter is for most 280 00:16:15,360 --> 00:16:18,720 Speaker 1: contemporary presidential elections, the majority of votes are already locked 281 00:16:18,720 --> 00:16:21,880 Speaker 1: in based on partisanship. In other words, a significant percent 282 00:16:21,960 --> 00:16:24,760 Speaker 1: of Americans identified Republicans are going to vote that way 283 00:16:24,800 --> 00:16:27,080 Speaker 1: in the same thing for Democrats. So it's a relatively 284 00:16:27,120 --> 00:16:29,440 Speaker 1: small group of Americans taken as a whole, who could 285 00:16:29,480 --> 00:16:32,600 Speaker 1: actually swing one way or the other. That's where a 286 00:16:32,600 --> 00:16:34,920 Speaker 1: lot of political consultants you might interview will say, our 287 00:16:34,960 --> 00:16:37,000 Speaker 1: real challenge is getting people to turn out, not to 288 00:16:37,080 --> 00:16:39,280 Speaker 1: change their mind. But there's still a group in the middle, 289 00:16:40,040 --> 00:16:44,440 Speaker 1: relative smaller group who genuinely could go either way. Well, 290 00:16:45,520 --> 00:16:48,200 Speaker 1: then that raises the question, when you're out there polling, 291 00:16:48,240 --> 00:16:53,520 Speaker 1: what are you actually finding out if if people are 292 00:16:54,480 --> 00:16:57,200 Speaker 1: you know, already, if the majority of people are already 293 00:16:57,400 --> 00:17:01,400 Speaker 1: kind of locked in, Um, what do we learn from 294 00:17:01,440 --> 00:17:06,439 Speaker 1: you know, a subsequent poll. Well, that's a good question, 295 00:17:06,480 --> 00:17:10,240 Speaker 1: and that's why we say, again we're focusing more here 296 00:17:10,240 --> 00:17:13,119 Speaker 1: at Gallop on what I think is fundamentally important is 297 00:17:13,160 --> 00:17:15,520 Speaker 1: what do the people want these candidates to do, regardless 298 00:17:15,560 --> 00:17:18,520 Speaker 1: of who's elected. But that's why we said earlier when 299 00:17:18,520 --> 00:17:20,879 Speaker 1: we were talking here horse race polls at this point 300 00:17:20,880 --> 00:17:25,639 Speaker 1: don't tell us a lot because the election a is 301 00:17:26,359 --> 00:17:29,960 Speaker 1: saraily locked in when we get closer to November, regardless 302 00:17:30,000 --> 00:17:32,840 Speaker 1: of what people might say right now, I want to 303 00:17:32,880 --> 00:17:36,479 Speaker 1: go where Tom mentioned earlier, and as you know, how 304 00:17:36,480 --> 00:17:39,400 Speaker 1: many how many people say, uh, you know, I've heard 305 00:17:39,400 --> 00:17:43,199 Speaker 1: of gallup but they never call me in any one place, 306 00:17:43,720 --> 00:17:46,200 Speaker 1: say New York City. How many people do you call? 307 00:17:46,280 --> 00:17:48,520 Speaker 1: How likely is it that anyone is ever going to 308 00:17:48,600 --> 00:17:51,400 Speaker 1: hear from you? Well, we do a lot of interviewing, 309 00:17:51,400 --> 00:17:54,760 Speaker 1: but keep in mind a typical poll is a thousand people. 310 00:17:55,359 --> 00:17:57,400 Speaker 1: We actually do more interviewing to that. But just take 311 00:17:57,440 --> 00:18:00,440 Speaker 1: a thousand and we're talking about eighteen plus adult Americans, 312 00:18:00,480 --> 00:18:03,159 Speaker 1: of which there are well over two hundred million in 313 00:18:03,200 --> 00:18:07,000 Speaker 1: this country adults eighteen plus Americans. So do the math 314 00:18:07,040 --> 00:18:09,000 Speaker 1: and you can see for anyone pull your chance of 315 00:18:09,040 --> 00:18:12,920 Speaker 1: being included or is is extremely small. As it happens, 316 00:18:12,920 --> 00:18:14,840 Speaker 1: we interview a lot of people, so your chance has 317 00:18:14,840 --> 00:18:18,840 Speaker 1: been interviewed that gallop over several year perier actually not insignificant. 318 00:18:19,280 --> 00:18:22,359 Speaker 1: But that's the whole clience behind pulling, is that if 319 00:18:22,359 --> 00:18:25,480 Speaker 1: you take the sample right, just like a doctor who 320 00:18:25,480 --> 00:18:28,520 Speaker 1: takes your blood sample to project the chorestaurant in your 321 00:18:28,640 --> 00:18:31,119 Speaker 1: entire body, you can take this false sample and project 322 00:18:31,200 --> 00:18:34,760 Speaker 1: to the entire population very quickly. Here I saw a 323 00:18:34,840 --> 00:18:38,239 Speaker 1: millennial ad I won't mention who the ad was and 324 00:18:38,320 --> 00:18:43,119 Speaker 1: it was laughable how calculating it was about whatever a 325 00:18:43,720 --> 00:18:47,760 Speaker 1: millennial wants. When you pull millennials, what do you see? 326 00:18:47,800 --> 00:18:51,840 Speaker 1: What do you observe? Well, that's a huge group found 327 00:18:51,920 --> 00:18:54,399 Speaker 1: like thing pulling the baby. But you know, it's a 328 00:18:54,480 --> 00:18:56,720 Speaker 1: huge group, and they're they're very diverse. It's hard to 329 00:18:56,800 --> 00:18:59,440 Speaker 1: characterize them, but taken as a total group A they're 330 00:18:59,440 --> 00:19:02,000 Speaker 1: not involved than the political process, regardless of what we 331 00:19:02,080 --> 00:19:04,639 Speaker 1: might think. They're much less likely to vote than older people, 332 00:19:04,640 --> 00:19:06,480 Speaker 1: and that will be true in the fall and be 333 00:19:06,680 --> 00:19:09,520 Speaker 1: when they do vote. They skewed democratic there. They claim 334 00:19:09,600 --> 00:19:12,399 Speaker 1: to be independent, but when push comes to show, relatively 335 00:19:12,400 --> 00:19:16,800 Speaker 1: if you are Republican, very frank Newport, thank you so 336 00:19:16,880 --> 00:19:19,800 Speaker 1: much with a gallop pole as well, Mike. Images of 337 00:19:19,880 --> 00:19:24,159 Speaker 1: the President being greeted Uh and uh said goodbye to 338 00:19:24,240 --> 00:19:28,440 Speaker 1: by Ambassador Kennedy in UH Japan. The President on Air 339 00:19:28,480 --> 00:19:32,080 Speaker 1: Force one through Anchorage back to Andrew's Air Force Space. 340 00:19:32,200 --> 00:19:37,439 Speaker 1: I believe ten pmsh Eastern time tonight, long flight, long flight. 341 00:19:37,520 --> 00:19:41,200 Speaker 1: You and I've done it, and uh, you know they're 342 00:19:41,200 --> 00:19:45,000 Speaker 1: gonna stop at anchorage, which I guess the refuel Yeah, 343 00:19:45,119 --> 00:19:47,400 Speaker 1: but that surprised me. Because I know that Air Force 344 00:19:47,440 --> 00:19:51,000 Speaker 1: one can make it. Yeah, well there it is. But 345 00:19:51,000 --> 00:19:54,480 Speaker 1: but the trip whatever anyone thinks the most interesting trip 346 00:19:54,520 --> 00:19:58,280 Speaker 1: with Senator Secretaris say carry in Vietnam and the President 347 00:19:58,359 --> 00:20:07,520 Speaker 1: today at Russia from New York worldwide Bloomberg surveillance coming 348 00:20:07,560 --> 00:20:09,199 Speaker 1: up that with all due respect, highlight brought you by 349 00:20:09,280 --> 00:20:11,080 Speaker 1: land Rover. If it's in your nature to cast off 350 00:20:11,080 --> 00:20:13,280 Speaker 1: the every day and seek adventure, the Discovery Sport was 351 00:20:13,280 --> 00:20:15,520 Speaker 1: built to help your search. 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