1 00:00:02,920 --> 00:00:10,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,600 --> 00:00:14,480 Speaker 1: Bloomberg Balance of Power podcast. Catch Just Live weekdays at 3 00:00:14,560 --> 00:00:17,200 Speaker 1: noon Eastern on Apocarplay and then Broud Auto with the 4 00:00:17,200 --> 00:00:21,200 Speaker 1: Bloomberg Business app. Listen on demand wherever you get your podcasts, 5 00:00:21,360 --> 00:00:25,040 Speaker 1: or watch us live on YouTube. 6 00:00:25,520 --> 00:00:27,800 Speaker 2: And it is the day after the day in which 7 00:00:27,840 --> 00:00:30,880 Speaker 2: we now know Donald Trump is the president elect. Will 8 00:00:30,880 --> 00:00:33,560 Speaker 2: be the forty seventh president of the United States after 9 00:00:33,600 --> 00:00:38,200 Speaker 2: winning at least two hundred and seventy seven electoral college votes. 10 00:00:38,240 --> 00:00:40,240 Speaker 2: The vote is not all the way in yet, Joe, 11 00:00:40,280 --> 00:00:42,760 Speaker 2: but it is not just an electoral college victory where 12 00:00:42,760 --> 00:00:45,560 Speaker 2: you're looking at, but in all likelihood a popular vote 13 00:00:45,640 --> 00:00:48,760 Speaker 2: victory as well, as we wait the final tally. However, 14 00:00:48,800 --> 00:00:51,480 Speaker 2: we don't have the final tally for the ultimate majority 15 00:00:51,520 --> 00:00:53,120 Speaker 2: in the Senate, as there is still a number of 16 00:00:53,240 --> 00:00:55,520 Speaker 2: races to be called or the majority in the House 17 00:00:55,520 --> 00:00:56,200 Speaker 2: of Representative. 18 00:00:56,240 --> 00:00:56,640 Speaker 3: That's true. 19 00:00:56,960 --> 00:00:59,600 Speaker 4: We do expect to hear from Vice President Kamala Harris 20 00:00:59,640 --> 00:01:01,400 Speaker 4: a little bit later on today. She chose not to 21 00:01:01,400 --> 00:01:04,839 Speaker 4: speak last night, which was an interesting element the optics 22 00:01:04,880 --> 00:01:07,959 Speaker 4: on our election night. She will be speaking at four 23 00:01:07,959 --> 00:01:10,520 Speaker 4: pm Eastern time. Will of course, bring her remarks to you. 24 00:01:10,640 --> 00:01:12,760 Speaker 4: It's unclear to us if she has conceded on a 25 00:01:12,800 --> 00:01:15,800 Speaker 4: personal level to Donald Trump. We haven't heard news of 26 00:01:15,840 --> 00:01:19,240 Speaker 4: a phone call, for instance. But I was struck following 27 00:01:19,280 --> 00:01:22,560 Speaker 4: our coverage at about four o'clock in the morning Eastern time. Here, 28 00:01:22,640 --> 00:01:26,679 Speaker 4: kayleie to see law enforcements around Trump Tower on Fifth Avenue. 29 00:01:27,000 --> 00:01:29,520 Speaker 4: It was clear, even if you were just walking the 30 00:01:29,560 --> 00:01:32,560 Speaker 4: streets of New York that something had changed. The transition 31 00:01:32,640 --> 00:01:34,520 Speaker 4: is underway now, even as we wait for many other 32 00:01:34,640 --> 00:01:37,440 Speaker 4: races to be called, including some key Senate races. We 33 00:01:37,480 --> 00:01:39,560 Speaker 4: want to get into this with Bloomberg's Michael Sheppard, who 34 00:01:39,640 --> 00:01:41,640 Speaker 4: joins us now from our Washington, d C. 35 00:01:41,800 --> 00:01:42,160 Speaker 1: Bureau. 36 00:01:42,400 --> 00:01:44,400 Speaker 4: Shep was up all night with us, and it's great 37 00:01:44,440 --> 00:01:44,840 Speaker 4: to see you. 38 00:01:44,920 --> 00:01:45,120 Speaker 5: Mike. 39 00:01:45,160 --> 00:01:47,680 Speaker 4: Your thoughts as we wait to hear from the Vice president? 40 00:01:47,720 --> 00:01:48,880 Speaker 4: Why are we waiting so long? 41 00:01:50,240 --> 00:01:52,720 Speaker 6: Well, I think one of the reasons for the delay, Joe, 42 00:01:52,800 --> 00:01:56,000 Speaker 6: is just how difficult this is for the Vice president 43 00:01:56,080 --> 00:01:58,760 Speaker 6: and her campaign. This is not the speech they had 44 00:01:58,800 --> 00:02:04,640 Speaker 6: been anticipating in giving. Even yesterday afternoon. Over the weekend, 45 00:02:04,760 --> 00:02:08,320 Speaker 6: the campaign had seen some polls that suggested the race 46 00:02:08,440 --> 00:02:11,040 Speaker 6: might be breaking a little bit more in her direction, 47 00:02:11,200 --> 00:02:13,800 Speaker 6: and of course now we know, based on the results 48 00:02:13,919 --> 00:02:16,200 Speaker 6: that was not the case. It's also going to be 49 00:02:16,240 --> 00:02:19,720 Speaker 6: a challenge for her because you remember that for weeks 50 00:02:20,160 --> 00:02:22,680 Speaker 6: on the campaign trail and on the stump, she was 51 00:02:22,760 --> 00:02:26,839 Speaker 6: warning voters that her opponent, Donald Trump was unfit for office. 52 00:02:26,960 --> 00:02:31,040 Speaker 6: So how she frames this speech conceding to somebody she 53 00:02:31,200 --> 00:02:35,080 Speaker 6: didn't think deserve the presidency will be difficult to do 54 00:02:35,360 --> 00:02:36,960 Speaker 6: and to do graciously as well. 55 00:02:37,200 --> 00:02:37,399 Speaker 7: Well. 56 00:02:37,400 --> 00:02:40,560 Speaker 2: This also may be a speech, Mike, that she wasn't 57 00:02:40,560 --> 00:02:43,360 Speaker 2: prepared to have to give so soon, whether it is 58 00:02:43,360 --> 00:02:45,960 Speaker 2: a concession speech or a victory speech. We thought the 59 00:02:45,960 --> 00:02:48,360 Speaker 2: final result would take a lot longer than it did 60 00:02:48,919 --> 00:02:51,320 Speaker 2: to figure out. Within twenty four hours we knew that 61 00:02:51,360 --> 00:02:54,280 Speaker 2: Donald Trump would be president elect. Can you just talk 62 00:02:54,320 --> 00:02:58,560 Speaker 2: about briefly, how much more efficiently it seems the votes 63 00:02:58,560 --> 00:03:01,960 Speaker 2: were counted, how this election was won. By all accounts, 64 00:03:02,480 --> 00:03:05,919 Speaker 2: it does seem like this was secure, This was safe, 65 00:03:06,280 --> 00:03:07,680 Speaker 2: the democratic system worked. 66 00:03:09,080 --> 00:03:11,560 Speaker 6: Yeah, Kayley, I'm glad you brought that up, because you 67 00:03:11,639 --> 00:03:14,400 Speaker 6: know that for weeks we've been talking in the newsroom, 68 00:03:14,520 --> 00:03:18,560 Speaker 6: and everybody out there observing this election ahead of time 69 00:03:18,840 --> 00:03:21,720 Speaker 6: was anticipating that it would be delayed the way it 70 00:03:21,880 --> 00:03:24,760 Speaker 6: was in twenty twenty. But what we've seen since then 71 00:03:25,000 --> 00:03:28,679 Speaker 6: is state officials and state operations really tightened up their 72 00:03:28,680 --> 00:03:32,200 Speaker 6: game and they tried to prepare to ensure a faster, 73 00:03:32,520 --> 00:03:36,080 Speaker 6: cleaner count that would be much more difficult to challenge, 74 00:03:36,120 --> 00:03:39,160 Speaker 6: and we saw that. Another factor also was that it 75 00:03:39,240 --> 00:03:42,480 Speaker 6: actually ended up being a much wider margin of victory, 76 00:03:42,480 --> 00:03:45,520 Speaker 6: including in some of those battle ground states that ultimately 77 00:03:45,560 --> 00:03:46,960 Speaker 6: handed the presidency. 78 00:03:47,000 --> 00:03:52,120 Speaker 4: Did Donald Trump, well, Michael, I don't know exactly as 79 00:03:52,160 --> 00:03:54,680 Speaker 4: we said what we're going to hear from Vice President 80 00:03:54,720 --> 00:03:57,400 Speaker 4: Kamala Harris a bit later, but we have heard from 81 00:03:57,520 --> 00:03:59,600 Speaker 4: Donald Trump. How did the optics strike you on the 82 00:03:59,640 --> 00:04:02,680 Speaker 4: stage last evening in West Palm Beach, when the likes 83 00:04:02,720 --> 00:04:06,520 Speaker 4: of Dana White joined the former president on the stage 84 00:04:06,880 --> 00:04:09,480 Speaker 4: along with the Speaker of the House. When you consider 85 00:04:09,640 --> 00:04:13,440 Speaker 4: the contrast culturally of what we saw, how does it 86 00:04:13,480 --> 00:04:15,960 Speaker 4: inform your expectations of a Trump two point zero. 87 00:04:16,960 --> 00:04:19,920 Speaker 6: Well, it highlighted the way that the former president has 88 00:04:19,960 --> 00:04:24,000 Speaker 6: built this coalition and he really has tried to cement 89 00:04:24,200 --> 00:04:28,480 Speaker 6: the so called Maga brand in the Republican Party and 90 00:04:28,640 --> 00:04:33,679 Speaker 6: now for good, this victory in the presidential election seals 91 00:04:33,680 --> 00:04:37,600 Speaker 6: it for many years to come, and certainly the House 92 00:04:37,640 --> 00:04:41,119 Speaker 6: Speaker Mike Johnson is someone who is very much part 93 00:04:41,200 --> 00:04:44,600 Speaker 6: of the Trump camp. And the other thing you mentioned, 94 00:04:44,600 --> 00:04:49,200 Speaker 6: of course, was Dana White of the wrestling fame and 95 00:04:49,760 --> 00:04:53,200 Speaker 6: ripping open his shirt on the convention stage in July. 96 00:04:54,080 --> 00:04:58,080 Speaker 6: That points to how he had the former president had 97 00:04:58,120 --> 00:05:02,360 Speaker 6: targeted mail voters very directly. We called it, in a way, 98 00:05:02,440 --> 00:05:06,440 Speaker 6: the bro campaign, and it worked. It helped push his 99 00:05:06,520 --> 00:05:10,599 Speaker 6: numbers with mail voters and including with black men and 100 00:05:10,920 --> 00:05:14,159 Speaker 6: Latino man as they headed to the polls yesterday. 101 00:05:14,880 --> 00:05:18,600 Speaker 2: All right, Bloomberg's Michael Sheppard reporting from Washington, DC for us. 102 00:05:18,640 --> 00:05:21,839 Speaker 2: Thank you very much. We appreciate it, and of course 103 00:05:21,880 --> 00:05:25,080 Speaker 2: we have been touching base not only with Mike Shephard 104 00:05:25,080 --> 00:05:27,159 Speaker 2: and the rest of our Bloomberg team throughout this cycle, 105 00:05:27,200 --> 00:05:30,280 Speaker 2: but our next guest as well, Frank Luntz, famed polster 106 00:05:30,360 --> 00:05:33,719 Speaker 2: and founder of fil Inc, is joining us now. Frank, 107 00:05:33,760 --> 00:05:36,560 Speaker 2: thanks for being back with us on Bloomberg TV and radio. 108 00:05:36,960 --> 00:05:39,719 Speaker 2: We have been talking about this entire cycle how tight 109 00:05:40,120 --> 00:05:42,719 Speaker 2: margins were likely to be. Turns out they're not quite 110 00:05:42,760 --> 00:05:45,560 Speaker 2: as tight in most of these battleground states as they 111 00:05:45,560 --> 00:05:49,040 Speaker 2: were in twenty twenty. And I just wonder your takeaway 112 00:05:49,080 --> 00:05:50,920 Speaker 2: here when it comes to whether or not the Poles 113 00:05:50,920 --> 00:05:55,599 Speaker 2: were adequately reflecting the reality in America once again, doesn't 114 00:05:55,640 --> 00:05:58,480 Speaker 2: it seem like Poles underestimated Donald Trump? 115 00:06:00,320 --> 00:06:05,200 Speaker 8: Degree, Yes, and that is about turnout that every Trump 116 00:06:05,320 --> 00:06:08,160 Speaker 8: supporter became a Trump voter. But that is not the 117 00:06:08,200 --> 00:06:11,200 Speaker 8: case with Kamala Harris, and that's one of the reasons 118 00:06:11,200 --> 00:06:14,760 Speaker 8: why she fell short. Certainly, the idea that Trump would 119 00:06:14,800 --> 00:06:17,200 Speaker 8: get a majority of the popular vote. 120 00:06:16,960 --> 00:06:19,080 Speaker 3: Is a surprise to a lot of people right now. 121 00:06:20,040 --> 00:06:22,760 Speaker 8: And is the Iowa poll which I want to draw 122 00:06:22,800 --> 00:06:26,000 Speaker 8: attention to, because that changed the actual narrative of the 123 00:06:26,080 --> 00:06:30,599 Speaker 8: campaign for the last forty eight hours. Trump ended up 124 00:06:30,600 --> 00:06:34,200 Speaker 8: winning Iowa by about a dozen points or so that 125 00:06:34,320 --> 00:06:35,839 Speaker 8: the poll had Harris. 126 00:06:35,520 --> 00:06:36,159 Speaker 3: Up by three. 127 00:06:36,960 --> 00:06:39,120 Speaker 8: It was not only beyond the margin of err it 128 00:06:39,240 --> 00:06:43,400 Speaker 8: actually changed how the race was being covered, which is 129 00:06:43,640 --> 00:06:47,320 Speaker 8: really one of the rare times when survey research actually 130 00:06:47,320 --> 00:06:49,960 Speaker 8: becomes part of the narrative. I think that there's a 131 00:06:50,080 --> 00:06:52,960 Speaker 8: lesson for Americans in the future, which has spent a 132 00:06:52,960 --> 00:06:55,800 Speaker 8: lot less time talking about who's winning and losing and 133 00:06:55,839 --> 00:06:58,960 Speaker 8: a lot more time talking about what the candidates say 134 00:06:59,000 --> 00:07:01,640 Speaker 8: they're going to do, and why either we should believe 135 00:07:01,640 --> 00:07:02,920 Speaker 8: them or distrust them. 136 00:07:03,160 --> 00:07:05,720 Speaker 4: Sounds like people were wrong about a lot, Frank. They 137 00:07:05,720 --> 00:07:09,160 Speaker 4: were wrong about the protesters showing up at the DNC, 138 00:07:09,360 --> 00:07:13,160 Speaker 4: they were wrong about violence around polls, wrong about pole watchers, 139 00:07:13,200 --> 00:07:16,440 Speaker 4: wrong about in some cases even though our polls were tied, 140 00:07:16,880 --> 00:07:20,800 Speaker 4: the idea that there was momentum behind Kamala Harris as well. 141 00:07:21,320 --> 00:07:24,320 Speaker 4: I'm wondering if there's a reckoning here for polsters. Was 142 00:07:24,360 --> 00:07:26,680 Speaker 4: there an overcorrection in the sample? And what's going through 143 00:07:26,720 --> 00:07:27,440 Speaker 4: your mind today? 144 00:07:28,240 --> 00:07:30,120 Speaker 8: What's going through my mind, because I've been asked this 145 00:07:30,240 --> 00:07:35,200 Speaker 8: in almost every show, is this is the media. The 146 00:07:35,240 --> 00:07:38,800 Speaker 8: posters did get it wrong, but the media went all 147 00:07:38,840 --> 00:07:42,920 Speaker 8: over this IOWA survey when all over trying to see 148 00:07:42,920 --> 00:07:46,320 Speaker 8: some trends, some movement in one direction or another, and 149 00:07:46,360 --> 00:07:49,720 Speaker 8: that they're the ones who drove this. I tend not 150 00:07:49,800 --> 00:07:51,960 Speaker 8: to talk about polling when I do shows this. I 151 00:07:52,000 --> 00:07:55,600 Speaker 8: talk about policy, YEP. I talk about language, what the 152 00:07:55,640 --> 00:08:00,000 Speaker 8: public wants to see and hear, and whether the politicians 153 00:08:00,120 --> 00:08:02,880 Speaker 8: are doing it or not. And so much of this 154 00:08:03,600 --> 00:08:06,640 Speaker 8: is actually driven by those who ask the questions rather 155 00:08:06,720 --> 00:08:09,680 Speaker 8: than people like me who answer them, because we won't 156 00:08:09,720 --> 00:08:12,160 Speaker 8: answer them if we weren't asked them. I don't want 157 00:08:12,200 --> 00:08:14,400 Speaker 8: to make a blanket statement because I take this so 158 00:08:14,560 --> 00:08:18,480 Speaker 8: seriously and I so approve of the way your show 159 00:08:18,760 --> 00:08:19,880 Speaker 8: handles politics. 160 00:08:20,400 --> 00:08:20,960 Speaker 3: It's one of the. 161 00:08:20,920 --> 00:08:24,920 Speaker 8: Best shows in all of television for politics. But I 162 00:08:24,960 --> 00:08:27,800 Speaker 8: do think that there needs to be a reckoning for 163 00:08:29,760 --> 00:08:33,880 Speaker 8: what we choose to focus on and how we cover it, 164 00:08:34,000 --> 00:08:37,920 Speaker 8: because in the end it becomes misleading or even detrimental 165 00:08:37,960 --> 00:08:39,160 Speaker 8: to the political process. 166 00:08:39,240 --> 00:08:41,760 Speaker 3: As that IOWA survey clearly. 167 00:08:41,520 --> 00:08:44,880 Speaker 2: Was well Frank, we appreciate the kind words, and of 168 00:08:44,920 --> 00:08:47,880 Speaker 2: course there always is room for critique when we consider 169 00:08:48,200 --> 00:08:51,080 Speaker 2: how the narrative is shaped in America, and media plays 170 00:08:51,080 --> 00:08:52,960 Speaker 2: a role in that as well. I think we can 171 00:08:53,000 --> 00:08:56,000 Speaker 2: all agree. Earlier on in this cycle, there was a 172 00:08:56,040 --> 00:08:59,240 Speaker 2: few conversations that happened in quick succession, one being whether 173 00:08:59,320 --> 00:09:02,440 Speaker 2: or not the media was putting too much focus on 174 00:09:02,520 --> 00:09:05,199 Speaker 2: the age issue for Joe Biden. Then became whether or 175 00:09:05,240 --> 00:09:08,440 Speaker 2: not the media was complicit in covering up how deep 176 00:09:08,480 --> 00:09:11,160 Speaker 2: those issues may have run for the current president. And 177 00:09:11,200 --> 00:09:13,240 Speaker 2: I just wonder as we consider the role of Joe 178 00:09:13,280 --> 00:09:16,040 Speaker 2: Biden in all of this. His late withdrawal from his 179 00:09:16,120 --> 00:09:19,679 Speaker 2: reelection campaign. If ultimately you think that made a difference, 180 00:09:19,720 --> 00:09:21,800 Speaker 2: if the timing mattered, or if it was never going 181 00:09:21,840 --> 00:09:24,760 Speaker 2: to be possible for an incumbent administration given the kind 182 00:09:24,800 --> 00:09:28,000 Speaker 2: of inflation experienced during it, to keep hold of the 183 00:09:28,000 --> 00:09:28,520 Speaker 2: White House. 184 00:09:29,480 --> 00:09:30,960 Speaker 3: Don't I don't believe that. 185 00:09:31,600 --> 00:09:34,280 Speaker 8: I challenged the narrative which has been put forward now 186 00:09:35,000 --> 00:09:39,640 Speaker 8: for weeks. Vice President Harris had one of the sharpest 187 00:09:39,800 --> 00:09:43,280 Speaker 8: fastest rises of any candidate modern history. 188 00:09:43,920 --> 00:09:45,760 Speaker 3: She went from five points down when she. 189 00:09:45,880 --> 00:09:48,440 Speaker 8: Got into the race to three and a half points 190 00:09:48,520 --> 00:09:51,120 Speaker 8: up in a matter of a few weeks. Because she 191 00:09:51,240 --> 00:09:54,520 Speaker 8: was joyful. She talked about the things she wanted to do. 192 00:09:54,600 --> 00:09:58,120 Speaker 8: Instead of the negativity which he decried again and again. 193 00:09:58,840 --> 00:10:01,640 Speaker 8: She was hopeful and optimate and talked about all the 194 00:10:01,679 --> 00:10:04,640 Speaker 8: things that she wanted to get done. But then after 195 00:10:04,679 --> 00:10:08,559 Speaker 8: the convention, she turned dark, she turned negative. It sounded 196 00:10:08,600 --> 00:10:10,520 Speaker 8: as much like a Trump campaign as it did a 197 00:10:10,520 --> 00:10:11,319 Speaker 8: Harris campaign. 198 00:10:11,960 --> 00:10:14,559 Speaker 3: And that was when she hit her ceiling. And then 199 00:10:14,600 --> 00:10:16,439 Speaker 3: she and by changing. 200 00:10:16,080 --> 00:10:20,960 Speaker 8: This by being joyful and then being harshly negative, calling 201 00:10:22,240 --> 00:10:26,800 Speaker 8: a trumpet fascist, voters started to wonder who is she? 202 00:10:27,520 --> 00:10:30,880 Speaker 8: Is she authentic? Is she genuine? How do you go 203 00:10:30,920 --> 00:10:35,000 Speaker 8: from being joyful to damning your opponents. And then Biden, 204 00:10:35,040 --> 00:10:38,520 Speaker 8: of course made the comment about Trump's voters, and it 205 00:10:38,720 --> 00:10:41,160 Speaker 8: just it didn't ring true. That's number one, and number 206 00:10:41,160 --> 00:10:44,720 Speaker 8: two is she never articulated exactly what she wanted to 207 00:10:44,760 --> 00:10:48,559 Speaker 8: do in the first hour, in the first day, first week, 208 00:10:49,120 --> 00:10:52,319 Speaker 8: first month, first one hundred days, and so on. If 209 00:10:52,360 --> 00:10:54,920 Speaker 8: she had done that in the CNN town hall where 210 00:10:54,920 --> 00:10:57,400 Speaker 8: it's done live, if she'd done that in the sixty 211 00:10:57,440 --> 00:11:00,839 Speaker 8: minutes interview or a Fox interview, any of the if 212 00:11:00,880 --> 00:11:03,120 Speaker 8: she had done that and told voters exactly what she 213 00:11:03,240 --> 00:11:06,040 Speaker 8: wanted to do, she would have done much better because 214 00:11:06,080 --> 00:11:08,400 Speaker 8: then she would have been about policy, and that's where 215 00:11:08,440 --> 00:11:13,240 Speaker 8: she was weakest. But instead she got driven around. She 216 00:11:14,200 --> 00:11:17,400 Speaker 8: never answered the questions that voters had, and so she 217 00:11:17,480 --> 00:11:20,560 Speaker 8: never crossed that threshold. Whereas Donald Trump, we knew him, 218 00:11:21,000 --> 00:11:23,360 Speaker 8: There's nothing more we can learn about him. We knew 219 00:11:23,360 --> 00:11:25,800 Speaker 8: his weaknesses, we knew his strengths, we knew his record 220 00:11:25,840 --> 00:11:28,960 Speaker 8: because we saw it for four years. So her criticizing 221 00:11:29,040 --> 00:11:32,800 Speaker 8: him didn't add anything to her, did not detract from him, 222 00:11:33,000 --> 00:11:34,520 Speaker 8: And I think that that's one of the reasons why 223 00:11:34,559 --> 00:11:35,000 Speaker 8: she lost. 224 00:11:35,400 --> 00:11:38,640 Speaker 4: The diagnosis from Frank LUNs on Bloomberg TV and Radio. 225 00:11:38,800 --> 00:11:42,080 Speaker 4: All of that said, Frank, what did we learn about 226 00:11:42,080 --> 00:11:45,000 Speaker 4: our nation last night, particularly if this in fact was 227 00:11:45,080 --> 00:11:46,800 Speaker 4: about men versus women? 228 00:11:48,800 --> 00:11:50,960 Speaker 8: I love that question, and that's a question that we 229 00:11:51,040 --> 00:11:53,920 Speaker 8: need to be talking about over the coming weeks and months, 230 00:11:54,200 --> 00:11:56,200 Speaker 8: because there are some things that are more important than 231 00:11:56,240 --> 00:11:59,320 Speaker 8: an election. It's the next generation. And what are they learning. 232 00:12:00,080 --> 00:12:02,920 Speaker 8: They're learning that it's okay to tear your opponent apart. 233 00:12:03,360 --> 00:12:07,520 Speaker 8: They're learning that there is no bounds to negativity, that 234 00:12:07,600 --> 00:12:10,199 Speaker 8: there are right and wrong ways. But they need to 235 00:12:10,280 --> 00:12:13,400 Speaker 8: learn that they're right and wrong ways to approach politics, 236 00:12:13,760 --> 00:12:15,480 Speaker 8: to approach economics. 237 00:12:14,960 --> 00:12:16,640 Speaker 3: To approach day to day life. 238 00:12:17,200 --> 00:12:19,120 Speaker 8: And I'm just afraid that what we now learned is 239 00:12:19,160 --> 00:12:22,680 Speaker 8: the wrong thing, which is anything goes at any time 240 00:12:22,800 --> 00:12:26,199 Speaker 8: for any reason, and that frightens me for the future. 241 00:12:27,200 --> 00:12:29,839 Speaker 2: Well, okay, so if we keep looking at demographics here 242 00:12:29,840 --> 00:12:32,160 Speaker 2: and what the future may hold, Frank, I look at 243 00:12:32,160 --> 00:12:35,720 Speaker 2: Donald Trump's victory in Miami Dade last night. We haven't 244 00:12:35,720 --> 00:12:38,880 Speaker 2: seen a Republican win that county for decades. It obviously 245 00:12:38,960 --> 00:12:42,120 Speaker 2: is majority Hispanic. We did see a sizable break among 246 00:12:42,160 --> 00:12:44,920 Speaker 2: Latinos for Donald Trump. In a way we haven't seen 247 00:12:44,960 --> 00:12:47,760 Speaker 2: in the past. Obviously, movement for black voters as well. 248 00:12:47,760 --> 00:12:50,200 Speaker 2: And I wonder if you think those demographic shifts are 249 00:12:50,280 --> 00:12:53,240 Speaker 2: unique to this candidate who is now president elect, or 250 00:12:53,240 --> 00:12:55,240 Speaker 2: if that may be something more permanent. 251 00:12:56,200 --> 00:12:59,280 Speaker 8: It's unique to this candidate, but also to this time 252 00:13:00,160 --> 00:13:02,439 Speaker 8: that it doesn't matter whether your white, black, brown. 253 00:13:02,559 --> 00:13:04,920 Speaker 3: It doesn't matter if you have trouble. 254 00:13:04,600 --> 00:13:07,160 Speaker 8: Affording food to put food on your table, to put 255 00:13:07,160 --> 00:13:10,040 Speaker 8: gas in your car, or the healthcare you need and 256 00:13:10,080 --> 00:13:12,600 Speaker 8: the housing that you want, then it doesn't matter what 257 00:13:12,600 --> 00:13:16,200 Speaker 8: your ethnicity is. What matters is you're struggling your living 258 00:13:16,240 --> 00:13:19,320 Speaker 8: paycheck to paycheck, and that's what's happening right now. And 259 00:13:19,400 --> 00:13:24,880 Speaker 8: Donald Trump articulated an empathy to that much more explicitly 260 00:13:25,480 --> 00:13:28,439 Speaker 8: than Harris did. She tried to run away from it. 261 00:13:28,880 --> 00:13:29,080 Speaker 3: Now. 262 00:13:29,080 --> 00:13:32,400 Speaker 8: Trump's greatest weakness is he didn't focus enough on prices, 263 00:13:32,679 --> 00:13:36,880 Speaker 8: on costs, on affordability that instead he got sidetracked by 264 00:13:36,960 --> 00:13:40,040 Speaker 8: issues that did not matter. And in fact, I want 265 00:13:40,080 --> 00:13:42,640 Speaker 8: to acknowledge something, I'm going to go back to that 266 00:13:42,760 --> 00:13:47,120 Speaker 8: presidential debate that clearly she did relatively well and he 267 00:13:47,160 --> 00:13:48,320 Speaker 8: did relatively poorly. 268 00:13:48,840 --> 00:13:50,320 Speaker 3: In the end, it did not matter. 269 00:13:51,000 --> 00:13:54,520 Speaker 8: I thought the debate performance would cost him his candidacy, 270 00:13:55,360 --> 00:13:58,400 Speaker 8: and instead it actually did not matter. And that's another 271 00:13:58,600 --> 00:14:01,360 Speaker 8: learning that America pass to face and even when you 272 00:14:01,400 --> 00:14:04,560 Speaker 8: put two candidates side by side, the outcome does not 273 00:14:04,720 --> 00:14:07,360 Speaker 8: necessarily matter and who wins for president. 274 00:14:08,080 --> 00:14:10,720 Speaker 4: Really great to have you back, Frank Frank Luntz, founder 275 00:14:10,840 --> 00:14:13,560 Speaker 4: CEO FI L and just the voice we were looking 276 00:14:13,600 --> 00:14:15,320 Speaker 4: to hear today. Thanks for being with us throughout this 277 00:14:15,480 --> 00:14:24,640 Speaker 4: entire campaign. Here on Bloomberg TV and radio. 278 00:14:21,800 --> 00:14:25,200 Speaker 1: You're listening to the Bloomberg Balance of Power podcast kens 279 00:14:25,280 --> 00:14:28,160 Speaker 1: Just Live weekdays at noon Eastern on Apple CarPlay and 280 00:14:28,200 --> 00:14:31,000 Speaker 1: then Rounoo with the Bloomberg Business App. You can also 281 00:14:31,080 --> 00:14:34,560 Speaker 1: listen live on Amazon Alexa from our flagship New York station, 282 00:14:34,960 --> 00:14:37,680 Speaker 1: Just Say Alexa Play Bloomberg eleven thirty. 283 00:14:39,840 --> 00:14:43,560 Speaker 4: Donald Trump had any number of economic policy proposals that 284 00:14:43,560 --> 00:14:45,480 Speaker 4: we've talked about over the past couple of months that 285 00:14:45,560 --> 00:14:48,000 Speaker 4: brought us to this point. Here's a taste. 286 00:14:49,520 --> 00:14:51,560 Speaker 5: What I'm going to do is something that nobody has 287 00:14:51,560 --> 00:14:52,880 Speaker 5: ever even thought about doing. 288 00:14:53,440 --> 00:14:55,680 Speaker 3: No tax on tips. 289 00:14:55,800 --> 00:14:59,400 Speaker 5: As part of our additional tax cuts, we will end 290 00:14:59,760 --> 00:15:03,720 Speaker 5: all taxes on overtime. I want to cut taxes on 291 00:15:03,880 --> 00:15:08,520 Speaker 5: Americans while putting tariffs on China and foreign countries. 292 00:15:08,360 --> 00:15:10,000 Speaker 3: To bring our jobs back home. 293 00:15:10,080 --> 00:15:13,000 Speaker 5: My plan is to make the Trump tax cuts permanent. 294 00:15:14,000 --> 00:15:17,640 Speaker 5: They are massive tax cuts, biggest ever permanent. 295 00:15:18,480 --> 00:15:21,280 Speaker 3: And to cut taxes even more. A reduction in the 296 00:15:21,320 --> 00:15:22,680 Speaker 3: corporate tax rate. 297 00:15:22,480 --> 00:15:27,520 Speaker 5: From twenty one percent to fifteen percent. No tax on 298 00:15:27,600 --> 00:15:29,520 Speaker 5: social security benefits. 299 00:15:29,200 --> 00:15:32,880 Speaker 6: Restoring the salt deduction, saving. 300 00:15:32,600 --> 00:15:37,280 Speaker 5: Thousands of dollars for residents of New York, Pennsylvania, New. 301 00:15:37,160 --> 00:15:40,240 Speaker 6: Jersey, and other high cost states. 302 00:15:40,360 --> 00:15:44,000 Speaker 5: As part of our tax cuts, we will make interest 303 00:15:44,360 --> 00:15:48,440 Speaker 5: on car loans fully deductible. 304 00:15:48,520 --> 00:15:52,480 Speaker 4: And joining us now. Joe Lavornia, chief economist with SMBC 305 00:15:52,640 --> 00:15:55,720 Speaker 4: Nico Securities America, the former chief economist the White House 306 00:15:55,920 --> 00:16:00,280 Speaker 4: National Economic Council in the first Trump administration. Nice to 307 00:16:00,320 --> 00:16:01,960 Speaker 4: see you at the table. I bet you've been up 308 00:16:02,000 --> 00:16:02,360 Speaker 4: all night. 309 00:16:02,360 --> 00:16:05,840 Speaker 7: I can only imagine a lot of you. Thank you 310 00:16:05,840 --> 00:16:07,200 Speaker 7: for having me. I was on earlier in the week 311 00:16:07,240 --> 00:16:08,400 Speaker 7: sitting over there absolutely well. 312 00:16:08,440 --> 00:16:08,640 Speaker 3: Nice. 313 00:16:08,640 --> 00:16:10,280 Speaker 4: Do you know this table very well? And you've been 314 00:16:10,320 --> 00:16:12,400 Speaker 4: generous with your time over the course of this cycle. 315 00:16:13,040 --> 00:16:15,080 Speaker 4: We've got a lot of questions for you here, beginning 316 00:16:15,120 --> 00:16:17,880 Speaker 4: with this market reaction. This is a monster move. To 317 00:16:17,880 --> 00:16:20,080 Speaker 4: see a day in which the dows up over one 318 00:16:20,120 --> 00:16:22,800 Speaker 4: thousand points. The S and P five hundred is up 319 00:16:22,840 --> 00:16:25,160 Speaker 4: some supercent, but the bond market is moving in the 320 00:16:25,160 --> 00:16:27,160 Speaker 4: other direction. We're looking at a four or five here 321 00:16:27,200 --> 00:16:29,600 Speaker 4: as of this moment on the ten year. What do 322 00:16:29,680 --> 00:16:32,160 Speaker 4: you make specifically of the reaction in the bond market. 323 00:16:32,200 --> 00:16:35,360 Speaker 4: This is clearly an anticipation of some sort of inflationary event. 324 00:16:35,480 --> 00:16:36,160 Speaker 7: Well, here's the thing. 325 00:16:36,280 --> 00:16:39,320 Speaker 9: I when I was talking with investors and clients as 326 00:16:39,320 --> 00:16:42,800 Speaker 9: I do that's most of my day job, this simple 327 00:16:42,840 --> 00:16:44,240 Speaker 9: question is what happens if Harris wins? 328 00:16:44,280 --> 00:16:45,360 Speaker 7: What happens if Trump wins? 329 00:16:45,480 --> 00:16:49,440 Speaker 9: And my initial read very simplistic terms, was Harris bad 330 00:16:49,480 --> 00:16:52,680 Speaker 9: for equities, good for bonds. Trump good for equities, bad 331 00:16:52,720 --> 00:16:55,240 Speaker 9: for bonds. And that related to the fact on where 332 00:16:55,280 --> 00:16:58,840 Speaker 9: I see growth and also how the market initially would 333 00:16:58,840 --> 00:17:01,640 Speaker 9: react to things. So, for ext with Trump, equities are 334 00:17:01,680 --> 00:17:04,440 Speaker 9: up because the market's more excited about growth, lower tax rates, 335 00:17:04,520 --> 00:17:07,960 Speaker 9: less regulation, et cetera. But the bond market gets worried 336 00:17:07,960 --> 00:17:10,879 Speaker 9: about more spending, tax cuts, et cetera. And like the 337 00:17:10,880 --> 00:17:15,239 Speaker 9: CBO for example, they're going to initially probably score a 338 00:17:15,280 --> 00:17:18,920 Speaker 9: Trump budget as being you know, more deficit related spending, 339 00:17:18,920 --> 00:17:20,960 Speaker 9: the Tax Foundation found that the problem with it is 340 00:17:21,119 --> 00:17:24,160 Speaker 9: that we don't know the specifics yet. And I'd argue, 341 00:17:24,200 --> 00:17:25,920 Speaker 9: if you look back at the Tax Cuts and Jobs 342 00:17:25,960 --> 00:17:28,520 Speaker 9: Act of twenty seventeen, and you see what CBO scored 343 00:17:29,040 --> 00:17:32,320 Speaker 9: the revenue numbers in sixteen, we actually got the money 344 00:17:32,359 --> 00:17:34,560 Speaker 9: in eighteen. In other words, the tax cut paid for itself. 345 00:17:34,960 --> 00:17:37,680 Speaker 9: So I think these are, you know, knee jerk reactions, 346 00:17:37,720 --> 00:17:39,280 Speaker 9: and then we'll see what happens once we get some 347 00:17:39,320 --> 00:17:40,280 Speaker 9: meat to the bone. 348 00:17:40,440 --> 00:17:43,120 Speaker 2: Well, so as you consider the timeline you just said, 349 00:17:43,160 --> 00:17:45,359 Speaker 2: they're knowing that there was eight trillion dollars in deficit 350 00:17:45,440 --> 00:17:49,200 Speaker 2: added during the first Trump administration. The Committee for Responsible 351 00:17:49,280 --> 00:17:51,840 Speaker 2: Budget says it could be another fifteen trillion dollars if 352 00:17:51,880 --> 00:17:53,840 Speaker 2: not all of it pays for itself. But it is 353 00:17:53,880 --> 00:17:57,680 Speaker 2: a question of time, especially knowing these markets are discounting mechanisms, 354 00:17:57,680 --> 00:18:00,480 Speaker 2: they are looking well ahead. So when we consider sequencing 355 00:18:00,560 --> 00:18:04,440 Speaker 2: here things like tariffs that could potentially hit the economy 356 00:18:04,480 --> 00:18:08,359 Speaker 2: first before the actual beneficiary impacts of lower taxes is 357 00:18:08,359 --> 00:18:11,800 Speaker 2: fully felt and recognized, and corporate profits and the like, Right, 358 00:18:11,840 --> 00:18:13,919 Speaker 2: how should we think about the way in which this 359 00:18:13,960 --> 00:18:14,400 Speaker 2: plays out? 360 00:18:14,480 --> 00:18:14,640 Speaker 10: Right? 361 00:18:14,680 --> 00:18:17,840 Speaker 9: So the europeolutely right, marcuts are forward looking, and they 362 00:18:18,040 --> 00:18:22,920 Speaker 9: may fear or they could think that, okay, tariffs are inflationary, 363 00:18:22,960 --> 00:18:25,080 Speaker 9: it's a one off price adjustment. But again it would 364 00:18:25,080 --> 00:18:28,040 Speaker 9: be how are the tariffs implemented and what would the 365 00:18:28,119 --> 00:18:31,200 Speaker 9: US be getting in return. I think there's this misperception 366 00:18:31,320 --> 00:18:33,919 Speaker 9: that day one of Trump, We're going to have tariffs 367 00:18:33,960 --> 00:18:36,600 Speaker 9: across the board x percent, and this is my guess, 368 00:18:37,160 --> 00:18:39,439 Speaker 9: and in China's gonna be at least sixty percent, maybe higher. 369 00:18:39,600 --> 00:18:41,800 Speaker 9: To me, it's going to be more nuanced. It's going 370 00:18:41,880 --> 00:18:44,439 Speaker 9: to be very transactional. In other words, terifts are going 371 00:18:44,480 --> 00:18:46,720 Speaker 9: to be used in large part as a tool to 372 00:18:47,119 --> 00:18:50,520 Speaker 9: essentially have more fair trade. So, for example, the US 373 00:18:50,880 --> 00:18:54,879 Speaker 9: has certain environmental regulations and certain rules against child labor. 374 00:18:54,960 --> 00:18:57,720 Speaker 9: Some of our trading partners don't have those same rules, 375 00:18:57,760 --> 00:19:00,520 Speaker 9: and we're at a disadvantage. So to extend tariffs can 376 00:19:00,600 --> 00:19:03,439 Speaker 9: level the playing field and make trade fair. I think 377 00:19:03,520 --> 00:19:06,159 Speaker 9: that makes sense. Also, it would depend too, what happens 378 00:19:06,200 --> 00:19:09,239 Speaker 9: with energy policy. If we have a significant amount of 379 00:19:09,320 --> 00:19:13,040 Speaker 9: drilling and energy production, that will offset the tariffs, even 380 00:19:13,080 --> 00:19:16,359 Speaker 9: if the tariffs, for argument's sake, we're implemented across the board. 381 00:19:16,640 --> 00:19:18,840 Speaker 9: The energy share of the economy is bigger than the 382 00:19:18,840 --> 00:19:21,200 Speaker 9: import share of the economy, So it really depends how 383 00:19:21,200 --> 00:19:23,280 Speaker 9: it's going to be put into place. And I always 384 00:19:23,280 --> 00:19:27,320 Speaker 9: tell people look at things the broad policy set, like, 385 00:19:27,359 --> 00:19:29,840 Speaker 9: don't focus just on the tariffs, don't focus just on 386 00:19:29,880 --> 00:19:32,720 Speaker 9: the tax cuts, look at the holistic approach in terms 387 00:19:32,720 --> 00:19:35,000 Speaker 9: of trying to increase productive capacity. 388 00:19:35,200 --> 00:19:35,640 Speaker 7: I guess a. 389 00:19:35,600 --> 00:19:38,280 Speaker 2: Simpler way though of asking my question would be are 390 00:19:38,280 --> 00:19:42,040 Speaker 2: we likely to feel the inflation before we feel the growth? 391 00:19:42,200 --> 00:19:43,320 Speaker 7: No? I don't believe so. 392 00:19:44,200 --> 00:19:47,200 Speaker 9: I don't believe so because if energy prices stay low, 393 00:19:47,640 --> 00:19:51,760 Speaker 9: that will immediately hit people's pocketbooks in a positive way. 394 00:19:51,800 --> 00:19:54,119 Speaker 9: Prices will come down. The general rule of thumb is 395 00:19:54,160 --> 00:19:57,280 Speaker 9: every one penny change in gasoline is worth about a 396 00:19:57,320 --> 00:19:59,440 Speaker 9: billion in terms of an energy tax cut. 397 00:19:59,560 --> 00:20:01,680 Speaker 7: So if you get prices down, fifty. 398 00:20:01,320 --> 00:20:03,639 Speaker 9: Cents may not seem like a lot, but in a 399 00:20:03,680 --> 00:20:06,879 Speaker 9: twenty five trillion dollar economy, that's basically like a fifty 400 00:20:06,920 --> 00:20:08,800 Speaker 9: billion dollar tax cut immediately. 401 00:20:09,600 --> 00:20:11,240 Speaker 4: What do you make of the moves of these the 402 00:20:11,280 --> 00:20:15,720 Speaker 4: banks today? This is wild Golden sacks up thirteen percent 403 00:20:15,880 --> 00:20:18,560 Speaker 4: right now. I could go down a long list of them. 404 00:20:18,640 --> 00:20:21,119 Speaker 4: Is basil three dead if it wasn't already. 405 00:20:21,800 --> 00:20:24,040 Speaker 9: I think Basil three is dead or like in The 406 00:20:24,040 --> 00:20:25,480 Speaker 9: Princess Bride, it's mostly dead. 407 00:20:25,560 --> 00:20:29,200 Speaker 7: Yeah, but look, the financials are is it a great movie? 408 00:20:29,440 --> 00:20:32,320 Speaker 9: The financials are essentially a high data on the economy. 409 00:20:32,359 --> 00:20:34,200 Speaker 9: So if you believe, and again I'm trying to be 410 00:20:34,240 --> 00:20:37,520 Speaker 9: objective here, if you're looking at the equity market, the 411 00:20:37,560 --> 00:20:40,679 Speaker 9: equity market's up on the expectation of stronger growth, and 412 00:20:41,240 --> 00:20:43,439 Speaker 9: the financials are a high data to GDP. So if 413 00:20:43,480 --> 00:20:46,640 Speaker 9: we sustain three percent GDP or higher and inflation does 414 00:20:46,760 --> 00:20:49,960 Speaker 9: moderate as I think it will, then you know the 415 00:20:50,000 --> 00:20:52,560 Speaker 9: banks are dealing what you're supposed to do well. 416 00:20:52,600 --> 00:20:56,080 Speaker 2: So as we consider potential policy here and regulation, We've 417 00:20:56,200 --> 00:20:58,320 Speaker 2: talked with you before, Joe about some of the other 418 00:20:58,320 --> 00:21:00,920 Speaker 2: policy ideas that have been put forward, like on immigration, 419 00:21:01,000 --> 00:21:04,560 Speaker 2: for example, the ideas that around mass deportation and the 420 00:21:04,640 --> 00:21:08,440 Speaker 2: economic impact it ultimately could have if millions of people 421 00:21:08,480 --> 00:21:10,760 Speaker 2: who are contributing to the labor force right now, who 422 00:21:10,800 --> 00:21:13,600 Speaker 2: are paying into things like social security, were to leave 423 00:21:13,680 --> 00:21:17,399 Speaker 2: the country, how should we be gaming that out, and 424 00:21:16,119 --> 00:21:20,440 Speaker 2: the realism of trying to get that many people out 425 00:21:20,440 --> 00:21:22,440 Speaker 2: of the country in an expeditious manner. 426 00:21:22,440 --> 00:21:26,359 Speaker 9: Joel of Warren, Your private citizen doesn't expect mass deportation. 427 00:21:26,520 --> 00:21:26,800 Speaker 3: Okay. 428 00:21:27,760 --> 00:21:31,159 Speaker 9: My strong sense and gut instinct is that we're going 429 00:21:31,200 --> 00:21:33,800 Speaker 9: to enforce the laws. We're going to make sure the 430 00:21:33,840 --> 00:21:36,400 Speaker 9: administration will make sure that there is more legal immigration 431 00:21:36,480 --> 00:21:39,760 Speaker 9: that comes through. However, there are a lot of potential 432 00:21:39,800 --> 00:21:42,159 Speaker 9: bad actors, as we know, not to get into details 433 00:21:42,160 --> 00:21:44,280 Speaker 9: that need to be removed, and I think law enforcement 434 00:21:44,359 --> 00:21:45,880 Speaker 9: will do so, but I do not personally. 435 00:21:45,960 --> 00:21:46,800 Speaker 7: This is me Joel of. 436 00:21:46,720 --> 00:21:49,720 Speaker 9: Warren is speaking, do not expect mass deportation. The other 437 00:21:49,720 --> 00:21:51,080 Speaker 9: factor I want to mention is that if you look 438 00:21:51,080 --> 00:21:53,919 Speaker 9: at labor force participation, we're about three quarters of a 439 00:21:53,960 --> 00:21:56,919 Speaker 9: point below where we were pre COVID. That's over a 440 00:21:56,920 --> 00:21:59,639 Speaker 9: million workers. So if the economy can grow and we 441 00:21:59,680 --> 00:22:03,399 Speaker 9: can get labor force participation to rise further, that would 442 00:22:03,400 --> 00:22:06,719 Speaker 9: offset any modest effect that we may not be getting 443 00:22:06,960 --> 00:22:09,800 Speaker 9: through immigration and will clearly be benefiting the US workers 444 00:22:09,840 --> 00:22:10,240 Speaker 9: that are here. 445 00:22:10,280 --> 00:22:13,080 Speaker 4: This would be a very different FTC than we have 446 00:22:13,320 --> 00:22:16,800 Speaker 4: right now. And I mentioned Goldman earlier. I'm thinking IPOs, 447 00:22:16,840 --> 00:22:17,640 Speaker 4: I'm thinking. 448 00:22:17,359 --> 00:22:18,560 Speaker 1: Mergers and acquisitions. 449 00:22:18,640 --> 00:22:20,680 Speaker 4: Is that what we mean when we say animal spirits? 450 00:22:20,880 --> 00:22:23,440 Speaker 7: Yeah? Animal spirits a confidence in the outlook. 451 00:22:23,520 --> 00:22:25,720 Speaker 4: Yeah, what's the M and A situation going to look 452 00:22:25,760 --> 00:22:26,760 Speaker 4: like in Trump's two point. 453 00:22:26,680 --> 00:22:30,639 Speaker 9: Zero Well, certainly there will be much more M and 454 00:22:30,720 --> 00:22:31,480 Speaker 9: A activity. 455 00:22:32,240 --> 00:22:35,919 Speaker 7: Look, I don't think to me, it's going to be 456 00:22:35,920 --> 00:22:36,720 Speaker 7: more entrepreneurial. 457 00:22:36,800 --> 00:22:38,680 Speaker 9: I mean I always would tell people when I highlighted 458 00:22:38,680 --> 00:22:40,159 Speaker 9: this when I was in the administration, if you look 459 00:22:40,160 --> 00:22:43,840 Speaker 9: at the small business sentiment, it was the highest under 460 00:22:43,840 --> 00:22:47,640 Speaker 9: President Trump's in any administration. So there is I think 461 00:22:47,640 --> 00:22:51,040 Speaker 9: a dynamism and an animal spirit that is reflective in 462 00:22:51,040 --> 00:22:55,080 Speaker 9: an entrepreneurialism, a type of role, and that is going 463 00:22:55,119 --> 00:22:59,720 Speaker 9: to be I think beneficial to activity that allows people 464 00:22:59,720 --> 00:23:01,040 Speaker 9: to trade act and by the way. 465 00:23:00,840 --> 00:23:02,160 Speaker 7: Onlike tariffs and things like that. 466 00:23:02,840 --> 00:23:05,600 Speaker 9: This sounds pretty basic, is I don't think this is insightful. 467 00:23:05,640 --> 00:23:07,919 Speaker 9: But President Trump's a business man, and I think you 468 00:23:07,960 --> 00:23:10,840 Speaker 9: have to look at the transactional nature of how he 469 00:23:10,880 --> 00:23:12,760 Speaker 9: approaches things. And there was a great quote from a 470 00:23:12,800 --> 00:23:14,880 Speaker 9: reporter of the Pittsburgh Is that I believe eight years 471 00:23:14,880 --> 00:23:18,560 Speaker 9: ago said don't take President Trump literally, but take them seriously. 472 00:23:18,720 --> 00:23:20,480 Speaker 9: And I find too often we get caught up in 473 00:23:20,520 --> 00:23:22,959 Speaker 9: the rhetoric and get caught up in things that divide 474 00:23:23,000 --> 00:23:24,840 Speaker 9: us I don't really believe that to be the case 475 00:23:24,880 --> 00:23:26,040 Speaker 9: in the second term, at least I. 476 00:23:26,080 --> 00:23:31,200 Speaker 2: Hope as we consider entrepreneurialism being able to jumpstart things, 477 00:23:31,560 --> 00:23:33,720 Speaker 2: we have to look at the cost of capital. And 478 00:23:33,760 --> 00:23:35,879 Speaker 2: that brings me to something that's coming up tomorrow, as 479 00:23:35,920 --> 00:23:38,040 Speaker 2: if we all haven't had enough this week, a Federal 480 00:23:38,080 --> 00:23:41,080 Speaker 2: Reserve decision. They're expected to cut twenty five basis points. 481 00:23:41,119 --> 00:23:43,320 Speaker 2: The market is now pricing in fewer cuts over the 482 00:23:43,359 --> 00:23:46,680 Speaker 2: course of the next year, Joe, in part maybe due 483 00:23:46,720 --> 00:23:47,879 Speaker 2: to the outcome of this election. 484 00:23:48,080 --> 00:23:50,359 Speaker 7: What do you think about that? No question, the market 485 00:23:50,480 --> 00:23:52,000 Speaker 7: is expecting faster growth. 486 00:23:52,040 --> 00:23:54,560 Speaker 9: I think it's perhaps incorrectly expecting inflation is going to 487 00:23:54,560 --> 00:23:57,600 Speaker 9: be higher, but it's expecting faster growth and then less inflation. 488 00:23:57,640 --> 00:23:59,879 Speaker 9: And because the president's going to try to make per 489 00:24:00,080 --> 00:24:01,680 Speaker 9: and I think he will the tax cuts some Jobs 490 00:24:01,680 --> 00:24:03,920 Speaker 9: Act of twenty seventeen, there's no big tax hike coming 491 00:24:04,000 --> 00:24:07,200 Speaker 9: in twenty six and therefore there's no fiscal cliff, which 492 00:24:07,240 --> 00:24:09,159 Speaker 9: means there's less pressure on the Fed to cut. So 493 00:24:09,200 --> 00:24:12,880 Speaker 9: I think initially the Fed will probably cut less. They'll 494 00:24:12,880 --> 00:24:17,280 Speaker 9: cut twenty five tomorrow, and to me, December is probably 495 00:24:17,720 --> 00:24:20,600 Speaker 9: a pause, and then we'll reevaluate and we'll see you 496 00:24:20,640 --> 00:24:23,240 Speaker 9: know where the personnel is in the Trump administration and 497 00:24:23,240 --> 00:24:24,920 Speaker 9: what policies are are advocated. 498 00:24:24,920 --> 00:24:26,400 Speaker 7: Because right now this is still guesswork. 499 00:24:27,480 --> 00:24:30,320 Speaker 4: Pretty interesting to consider what will happen over the course 500 00:24:30,440 --> 00:24:32,960 Speaker 4: of the next month. Your phone's going to be ringing. 501 00:24:33,080 --> 00:24:35,320 Speaker 4: What job would you want in a Trump administration? 502 00:24:36,640 --> 00:24:39,480 Speaker 7: Again, I said this the other day. 503 00:24:39,480 --> 00:24:41,080 Speaker 9: I said, look, I'm very happy where I am and 504 00:24:41,160 --> 00:24:44,600 Speaker 9: being honored to serve, and we'll just play it by year. 505 00:24:44,640 --> 00:24:44,960 Speaker 7: We'll see. 506 00:24:45,040 --> 00:24:47,040 Speaker 9: I really, I mean, I love the markets, I love 507 00:24:47,080 --> 00:24:49,280 Speaker 9: coming on, like having a nice conversation with you guys, 508 00:24:49,320 --> 00:24:51,720 Speaker 9: and certainly if the President called, I would be hard 509 00:24:51,720 --> 00:24:53,560 Speaker 9: to say no. But right now I'm happy and we'll 510 00:24:53,560 --> 00:24:54,240 Speaker 9: see what happens. 511 00:24:54,520 --> 00:24:56,600 Speaker 7: You know, I feel like, you know, I like to 512 00:24:56,600 --> 00:24:58,840 Speaker 7: think I've got some options. But we'll say they. 513 00:24:58,840 --> 00:25:01,600 Speaker 4: See you on the North one points soon, hopefully not 514 00:25:01,640 --> 00:25:02,040 Speaker 4: cut well. 515 00:25:02,040 --> 00:25:04,280 Speaker 2: I want to say it, thank you either way, always 516 00:25:04,320 --> 00:25:06,639 Speaker 2: welcome you here on Bloomberg TV and Radio. We appreciate 517 00:25:06,680 --> 00:25:09,760 Speaker 2: you joining us. On this day after the election, Joe Lavornie, 518 00:25:09,800 --> 00:25:12,640 Speaker 2: of course, formerly of the Trump White House, now at 519 00:25:12,760 --> 00:25:16,920 Speaker 2: SMBCNCO Securities. On this day after the election, a day 520 00:25:16,960 --> 00:25:18,760 Speaker 2: in which markets are ripping the S and P five 521 00:25:18,840 --> 00:25:21,119 Speaker 2: hundred at a fresh record high in the bond market 522 00:25:21,160 --> 00:25:24,560 Speaker 2: seeing big news with a tenure yield up seventeen basis points. 523 00:25:24,760 --> 00:25:27,280 Speaker 2: We'll have more ahead on the markets and the politics 524 00:25:27,280 --> 00:25:34,760 Speaker 2: with our political panel next on Bloomberg TV and radio. 525 00:25:35,920 --> 00:25:39,440 Speaker 1: You're listening to the Bloomberg Balance of Power podcast. Catch 526 00:25:39,520 --> 00:25:42,439 Speaker 1: Just Live weekdays at noon Eastern on amocr Play and 527 00:25:42,440 --> 00:25:45,199 Speaker 1: then Broun Auto with the Bloomberg Business App. Listen on 528 00:25:45,240 --> 00:25:48,440 Speaker 1: demand wherever you get your podcasts, or watch us live 529 00:25:48,560 --> 00:25:50,119 Speaker 1: on YouTube. 530 00:25:51,880 --> 00:25:54,280 Speaker 4: They are still counting votes. We still have some important 531 00:25:54,320 --> 00:25:56,840 Speaker 4: Senate races to be called here, Kaylee, but the transition 532 00:25:56,960 --> 00:26:00,159 Speaker 4: on the presidential level has already begun. Donald Trump is 533 00:26:00,160 --> 00:26:01,960 Speaker 4: now officially the president elects. 534 00:26:01,720 --> 00:26:04,800 Speaker 2: YEP, having won two hundred and seventy seven Electoral College 535 00:26:04,880 --> 00:26:07,640 Speaker 2: votes at this point, but it is expected he could 536 00:26:07,640 --> 00:26:10,200 Speaker 2: win many more than that. For all of our months 537 00:26:10,200 --> 00:26:13,000 Speaker 2: of discussion about how this race was incredibly tight going 538 00:26:13,040 --> 00:26:16,440 Speaker 2: to be decided by very closed margins, the margins Donald 539 00:26:16,440 --> 00:26:19,320 Speaker 2: Trump was able to put up over the last twenty 540 00:26:19,320 --> 00:26:21,679 Speaker 2: four hours have been pretty remarkable, adding to what he 541 00:26:21,760 --> 00:26:24,960 Speaker 2: experienced in twenty sixteen and twenty twenty. And it's not 542 00:26:25,040 --> 00:26:28,160 Speaker 2: just the electoral college we're watching here, but the popular vote, 543 00:26:28,160 --> 00:26:31,399 Speaker 2: which he is currently winning by roughly five million votes. 544 00:26:31,400 --> 00:26:33,400 Speaker 2: He did not get the popular vote in the first 545 00:26:33,440 --> 00:26:34,000 Speaker 2: two cycles. 546 00:26:34,040 --> 00:26:38,160 Speaker 4: He ran in defying most predictions that we described here 547 00:26:38,200 --> 00:26:40,600 Speaker 4: on the air, talking to various pollsters who do this 548 00:26:40,720 --> 00:26:43,480 Speaker 4: for a living confounding us to the point where it's 549 00:26:43,480 --> 00:26:46,359 Speaker 4: now being called a red wave, or, as Romaine Bostik 550 00:26:46,760 --> 00:26:49,680 Speaker 4: called it from Detroit, a red wake up call. Things 551 00:26:49,680 --> 00:26:51,800 Speaker 4: went late into the night. You probably didn't get much 552 00:26:51,800 --> 00:26:54,560 Speaker 4: sleep yourself. The whole nation is bleary eyed this morning. J. D. 553 00:26:54,720 --> 00:26:57,159 Speaker 4: Vance got up to the podium while Donald Trump was 554 00:26:57,200 --> 00:27:00,360 Speaker 4: delivering his victory speech last night in West Palm Beach. 555 00:27:00,440 --> 00:27:00,920 Speaker 3: Let's listen. 556 00:27:02,119 --> 00:27:06,040 Speaker 11: Well, mister President, I appreciate you allowing me to join 557 00:27:06,080 --> 00:27:08,440 Speaker 11: you on this incredible journey. I thank you for the 558 00:27:08,520 --> 00:27:11,520 Speaker 11: trust that you have placed in me, and I think 559 00:27:11,520 --> 00:27:14,720 Speaker 11: that we just winn us the greatest political comeback in 560 00:27:14,760 --> 00:27:17,000 Speaker 11: the history of the United States of America. 561 00:27:18,560 --> 00:27:21,840 Speaker 2: Joining us now for more our political panel, democratic strategist 562 00:27:21,880 --> 00:27:25,840 Speaker 2: and partner at Rock Solutions Kristin Hahn, alongside Republican strategist 563 00:27:25,880 --> 00:27:29,840 Speaker 2: and West Front strategies principle. Ashley Davis, thank you both 564 00:27:29,920 --> 00:27:33,280 Speaker 2: for being with us on this day. After Ashley, just 565 00:27:33,320 --> 00:27:35,439 Speaker 2: to begin with you, jd. Vance calls it the greatest 566 00:27:35,440 --> 00:27:38,520 Speaker 2: political comeback in the history of the United States. And 567 00:27:38,560 --> 00:27:41,720 Speaker 2: he is not alone in characterizing this in that way. 568 00:27:41,800 --> 00:27:45,639 Speaker 2: After a loss in twenty twenty After January sixth, twenty 569 00:27:45,680 --> 00:27:48,119 Speaker 2: twenty one, Donald Trump is going to be the forty 570 00:27:48,160 --> 00:27:50,720 Speaker 2: seventh president of the United States. What does it say 571 00:27:50,720 --> 00:27:50,919 Speaker 2: to you? 572 00:27:51,600 --> 00:27:55,040 Speaker 12: He's also going to be a very decisive president of 573 00:27:55,040 --> 00:27:57,360 Speaker 12: the United States. I mean, the win, which I think 574 00:27:57,440 --> 00:27:59,960 Speaker 12: is probably good or bad, is good for the country 575 00:28:00,080 --> 00:28:02,719 Speaker 12: in regards to there's no question about who won. And 576 00:28:02,720 --> 00:28:05,000 Speaker 12: that's really not a political statement. I would say the 577 00:28:05,000 --> 00:28:07,119 Speaker 12: same thing if Kamala would have won. The fact that 578 00:28:07,160 --> 00:28:11,040 Speaker 12: it's not hanging on Chad's or anything else is a 579 00:28:11,040 --> 00:28:13,879 Speaker 12: good sign. But yeah, it is a huge political comeback. 580 00:28:13,920 --> 00:28:15,720 Speaker 12: I mean, who would have thought how many times was 581 00:28:15,760 --> 00:28:18,040 Speaker 12: he indicted? How many times has he been convicted? On 582 00:28:18,119 --> 00:28:21,920 Speaker 12: thirty four and indicted more? Yeah, And so I mean 583 00:28:22,000 --> 00:28:23,800 Speaker 12: just the fact that he was able to do this 584 00:28:23,960 --> 00:28:27,840 Speaker 12: and come back. I actually think it shows one how 585 00:28:27,880 --> 00:28:30,920 Speaker 12: he does talk and resonate with parts of this country 586 00:28:31,480 --> 00:28:33,840 Speaker 12: that a lot of us don't talk to every day, 587 00:28:34,359 --> 00:28:37,119 Speaker 12: and also just how upset the country was. And I 588 00:28:37,119 --> 00:28:39,960 Speaker 12: think that's what shows and I think that we a 589 00:28:40,000 --> 00:28:43,960 Speaker 12: collective we probably need to take a look at the 590 00:28:44,000 --> 00:28:47,640 Speaker 12: people that have spoken about how unhappy they are and 591 00:28:47,720 --> 00:28:49,760 Speaker 12: want them change in our country. 592 00:28:50,400 --> 00:28:52,959 Speaker 4: Kristin Harne, a lot of Democrats are feeling bruised this 593 00:28:53,080 --> 00:28:56,840 Speaker 4: day after. It's not just the presidency, it's Congress. You 594 00:28:56,960 --> 00:28:59,360 Speaker 4: spent quite a good amount of time on Capitol Hill 595 00:28:59,360 --> 00:29:01,440 Speaker 4: as a blue dog Democrat. How do you see this today? 596 00:29:02,760 --> 00:29:05,960 Speaker 10: I think there you've already seen kind of the blame game, 597 00:29:06,040 --> 00:29:07,320 Speaker 10: starting the finger pointing. 598 00:29:07,360 --> 00:29:08,560 Speaker 7: I think I think, you. 599 00:29:08,520 --> 00:29:10,760 Speaker 10: Know, as Democrats, we need to take a look like 600 00:29:10,800 --> 00:29:14,640 Speaker 10: what Ashley said, why were the people not happy? What 601 00:29:14,760 --> 00:29:17,120 Speaker 10: are we talking to them about? How are we talking 602 00:29:17,120 --> 00:29:20,600 Speaker 10: to them? And really think about that. You know, this 603 00:29:20,760 --> 00:29:24,520 Speaker 10: automatic some of the talking points I've seen out there 604 00:29:24,520 --> 00:29:26,840 Speaker 10: from some Democrats saying, you know, we just had didn't 605 00:29:26,920 --> 00:29:29,320 Speaker 10: lean into the progressive the liberal side enough, I think 606 00:29:29,480 --> 00:29:32,120 Speaker 10: is the wrong lesson to take from this. There were 607 00:29:32,200 --> 00:29:35,959 Speaker 10: no more votes to be be got from there. We 608 00:29:36,040 --> 00:29:40,200 Speaker 10: need to think about how we are are listening and 609 00:29:40,280 --> 00:29:43,920 Speaker 10: talking to the American people all across the country. I 610 00:29:43,960 --> 00:29:47,800 Speaker 10: think there was a lot of fear mongering, you know. 611 00:29:47,920 --> 00:29:50,120 Speaker 10: I think that there was a lot of misinformation out there, 612 00:29:50,120 --> 00:29:53,440 Speaker 10: and I think it'll take us months, if not yours, 613 00:29:53,440 --> 00:29:55,440 Speaker 10: to figure out what, you know, what we need to do, 614 00:29:55,480 --> 00:29:57,000 Speaker 10: particularly heading into the midterms. 615 00:29:57,520 --> 00:30:00,680 Speaker 2: Well, and I wonder how you're reacting to the demographic 616 00:30:00,680 --> 00:30:03,960 Speaker 2: breakdown we've seen an exit polse Kristin. It's looking like 617 00:30:04,040 --> 00:30:07,840 Speaker 2: Kamala Harris, who would have been the first female president 618 00:30:08,000 --> 00:30:10,240 Speaker 2: in the United States if she had one, is going 619 00:30:10,280 --> 00:30:14,440 Speaker 2: to win fewer female vote votes than Joe Biden did 620 00:30:14,640 --> 00:30:17,440 Speaker 2: in twenty twenty. For all of the talk about momentum 621 00:30:17,760 --> 00:30:19,240 Speaker 2: among women, what does that say to you? 622 00:30:20,440 --> 00:30:22,560 Speaker 10: Well, I mean I think there's also like she had, 623 00:30:22,680 --> 00:30:25,400 Speaker 10: you know, one of the shortest runs for the presidency, 624 00:30:25,440 --> 00:30:28,160 Speaker 10: and I think that probably hampered her ability to really 625 00:30:28,200 --> 00:30:33,320 Speaker 10: define herself beyond you know, Joe Biden. I think also, 626 00:30:33,920 --> 00:30:36,680 Speaker 10: you know, we were fresh off of four years with 627 00:30:36,800 --> 00:30:39,800 Speaker 10: President Trump and people were sick of it and they 628 00:30:39,880 --> 00:30:42,840 Speaker 10: voted that way. So I think it's not necessarily her. 629 00:30:43,000 --> 00:30:46,120 Speaker 10: I think it was you know, you look at the 630 00:30:46,760 --> 00:30:49,200 Speaker 10: you know, what's happening at the time, and when it's happening. 631 00:30:49,240 --> 00:30:52,120 Speaker 10: And I unfortunately think that we're going to get two 632 00:30:52,160 --> 00:30:54,160 Speaker 10: years with the mid terms and four years down the road, 633 00:30:54,200 --> 00:30:56,240 Speaker 10: and people are going to be reminded of how exhausted 634 00:30:56,280 --> 00:30:57,640 Speaker 10: they are with having to wake up and listen to 635 00:30:57,680 --> 00:30:58,560 Speaker 10: President Trump every day. 636 00:30:58,720 --> 00:31:01,200 Speaker 4: See your thoughts on the gen battle. This had really 637 00:31:01,240 --> 00:31:05,280 Speaker 4: devolved into a men versus women election, we were told, 638 00:31:05,280 --> 00:31:07,239 Speaker 4: and a lot of Democrats are asking today, a lot 639 00:31:07,280 --> 00:31:10,200 Speaker 4: of women are asking why is America not capable of 640 00:31:10,240 --> 00:31:13,040 Speaker 4: getting its arms around this idea of electing a female president. 641 00:31:14,040 --> 00:31:17,320 Speaker 12: I wish I knew, because I mean, I obviously believe 642 00:31:17,360 --> 00:31:20,480 Speaker 12: in that a lot. I actually think though that what 643 00:31:20,520 --> 00:31:23,000 Speaker 12: people thought was going to get her across the finish line, though, 644 00:31:23,120 --> 00:31:26,960 Speaker 12: was the abortion issue or the dods rolling. And I 645 00:31:27,000 --> 00:31:29,480 Speaker 12: think what happened, and obviously there's going to be days 646 00:31:29,480 --> 00:31:31,440 Speaker 12: to come which we can look at this data, but 647 00:31:31,520 --> 00:31:35,520 Speaker 12: it looks like many women, even in the suburban areas, 648 00:31:35,600 --> 00:31:38,680 Speaker 12: cared more about security, the border, the economy than they 649 00:31:38,720 --> 00:31:40,840 Speaker 12: even did kind of these rights. And also, I do 650 00:31:40,920 --> 00:31:44,760 Speaker 12: believe the American people, as a pro choice Republican understand 651 00:31:44,800 --> 00:31:46,600 Speaker 12: that now this is in the States, right, I mean, 652 00:31:46,640 --> 00:31:50,480 Speaker 12: I don't think that people are The rhetoric that went 653 00:31:50,520 --> 00:31:52,560 Speaker 12: around about the dab's decision, how no one's ever going 654 00:31:52,640 --> 00:31:55,320 Speaker 12: to be able to have, you know, female rights, is 655 00:31:55,400 --> 00:31:58,800 Speaker 12: just not correct, and so I think people aren't believing 656 00:31:58,880 --> 00:32:03,880 Speaker 12: that message. I think the biggest, the biggest demographic that 657 00:32:03,920 --> 00:32:07,240 Speaker 12: came out of yesterday is one in theory of color 658 00:32:07,360 --> 00:32:10,880 Speaker 12: voters voted for Trump. I mean, that's not that was 659 00:32:10,960 --> 00:32:13,120 Speaker 12: high in two thousand and four when Bush one reelect, 660 00:32:13,400 --> 00:32:15,400 Speaker 12: but it hasn't been that high since. And I think 661 00:32:15,400 --> 00:32:17,440 Speaker 12: that that's pretty it's remarkable. 662 00:32:17,480 --> 00:32:18,560 Speaker 3: It's all remarkable. 663 00:32:18,560 --> 00:32:20,880 Speaker 4: We should remind our audience as well. You did support 664 00:32:20,880 --> 00:32:22,960 Speaker 4: a woman for president. You were a Nicki Haley supporter 665 00:32:23,000 --> 00:32:25,040 Speaker 4: at the beginning of this campaign. Is there a place 666 00:32:25,080 --> 00:32:25,960 Speaker 4: for you in this party? 667 00:32:27,160 --> 00:32:27,960 Speaker 7: Listen? I don't. 668 00:32:28,040 --> 00:32:30,680 Speaker 12: I'm just like her. I mean, I'm a conservative. I 669 00:32:30,760 --> 00:32:34,520 Speaker 12: believe in conservative autism in regards to financial conservative. I'm 670 00:32:34,600 --> 00:32:37,560 Speaker 12: very socially liberal. But I do believe in Republican policies. 671 00:32:37,680 --> 00:32:40,320 Speaker 12: And so at the end of the day, am I 672 00:32:40,560 --> 00:32:45,640 Speaker 12: happy that there's a Republican Senate? Absolutely? Would I do. 673 00:32:45,680 --> 00:32:50,160 Speaker 12: I not believe in some of Kamala Harris's policies, absolutely, 674 00:32:50,280 --> 00:32:53,120 Speaker 12: but I do believe in a woman becoming president. Obviously 675 00:32:53,120 --> 00:32:54,560 Speaker 12: that's not going to happen. But I at the end 676 00:32:54,560 --> 00:32:56,080 Speaker 12: of the day, I'm a Republican. I'm going to support 677 00:32:56,080 --> 00:32:57,120 Speaker 12: Republicans well. 678 00:32:57,120 --> 00:32:59,800 Speaker 2: As Ashley raises the Senate, Kristen, we already know that 679 00:32:59,840 --> 00:33:02,479 Speaker 2: the Senate has gone for the Democrats. It has been flipped. 680 00:33:02,520 --> 00:33:05,280 Speaker 2: The question now is the margin, and the bigger question 681 00:33:05,880 --> 00:33:08,120 Speaker 2: is the House. What races will you be watching that 682 00:33:08,160 --> 00:33:08,960 Speaker 2: have yet to be called? 683 00:33:10,560 --> 00:33:12,240 Speaker 10: You know, I'm watching a lot of races where people 684 00:33:12,280 --> 00:33:16,120 Speaker 10: are doing well. You know, Jim costin California always does well. 685 00:33:16,200 --> 00:33:19,680 Speaker 10: You know Henry koyar one in Texas, which is great. 686 00:33:20,720 --> 00:33:23,120 Speaker 10: You know, you look at people who are really strong, 687 00:33:23,240 --> 00:33:26,080 Speaker 10: like Mary Peltola out in Alaska, who you know, Lisa 688 00:33:26,200 --> 00:33:28,560 Speaker 10: Murkowski said she wanted her to be back in the House. 689 00:33:29,120 --> 00:33:31,960 Speaker 10: So races like those, I think, you know, there are 690 00:33:31,960 --> 00:33:34,400 Speaker 10: a number of them that were flipped last night. It'll 691 00:33:34,440 --> 00:33:37,320 Speaker 10: be several days, if not weeks, before we know who 692 00:33:37,360 --> 00:33:39,080 Speaker 10: has control of the House. But I think at the 693 00:33:39,200 --> 00:33:42,280 Speaker 10: end of the day, as a House person, you know 694 00:33:43,360 --> 00:33:48,000 Speaker 10: those members and those candidates who really know their districts 695 00:33:48,000 --> 00:33:50,520 Speaker 10: and really speak to the voter voters on a local 696 00:33:50,640 --> 00:33:54,560 Speaker 10: level will be the ones who who ultimately pull out 697 00:33:54,560 --> 00:33:58,640 Speaker 10: the win here. And for Democrats, obviously control the House 698 00:33:58,760 --> 00:34:02,360 Speaker 10: is really important so that we don't have Donald Trump 699 00:34:02,440 --> 00:34:06,440 Speaker 10: as president completely unchecked in his power. 700 00:34:07,240 --> 00:34:09,799 Speaker 4: You know what, the loudest question I'm hearing from Democrats 701 00:34:09,840 --> 00:34:13,600 Speaker 4: today is Kristin Hahn, what would have happened if she 702 00:34:13,640 --> 00:34:14,600 Speaker 4: picked Josh Shapiro. 703 00:34:17,360 --> 00:34:20,800 Speaker 10: I'm not sure would have made that much of a difference. Honestly, 704 00:34:20,880 --> 00:34:23,279 Speaker 10: I think we had a really strong team and a 705 00:34:23,360 --> 00:34:27,920 Speaker 10: strong vice presidential candidate and Tim Waltz, So, you know, 706 00:34:28,000 --> 00:34:31,640 Speaker 10: I think that the you know, any conversations within my 707 00:34:31,760 --> 00:34:35,680 Speaker 10: party about what if is not productive At this point. 708 00:34:35,719 --> 00:34:37,279 Speaker 10: We need to all be sitting down at the table 709 00:34:37,320 --> 00:34:39,200 Speaker 10: and being like, what happened here and what do we 710 00:34:39,239 --> 00:34:40,120 Speaker 10: need to do differently? 711 00:34:40,560 --> 00:34:42,800 Speaker 2: Well, and then there's the question of what happens next 712 00:34:43,000 --> 00:34:43,920 Speaker 2: Donald Trump and JD. 713 00:34:44,080 --> 00:34:44,319 Speaker 12: Vance. 714 00:34:44,400 --> 00:34:47,759 Speaker 2: We know Ashley, but who is likely to be in 715 00:34:47,800 --> 00:34:50,360 Speaker 2: this cabinet? Is this transition gets underway. 716 00:34:50,000 --> 00:34:52,600 Speaker 12: I think you'll see a lot of governors. I mean, 717 00:34:52,600 --> 00:34:55,400 Speaker 12: you'll see a lot of senators, especially if the Senate 718 00:34:55,440 --> 00:35:00,560 Speaker 12: does end up being fifty four. Republicans say, obviously Cormick's 719 00:35:00,760 --> 00:35:04,000 Speaker 12: very close to winning and you know, in Pennsylvania and 720 00:35:04,040 --> 00:35:07,440 Speaker 12: maybe Nevada or maybe not. We'll see, but I think 721 00:35:07,560 --> 00:35:10,799 Speaker 12: that those are going to be easy to confirm. And 722 00:35:10,840 --> 00:35:13,239 Speaker 12: I also think that it gives you a little bit 723 00:35:13,280 --> 00:35:16,600 Speaker 12: of room to have a vacancy in regards to other 724 00:35:16,680 --> 00:35:20,319 Speaker 12: votes if the Senators are going up for some sort 725 00:35:20,360 --> 00:35:23,279 Speaker 12: of confirmation, I don't think if the numbers stay this 726 00:35:23,360 --> 00:35:25,080 Speaker 12: close one way or the other. And going back to 727 00:35:25,160 --> 00:35:27,799 Speaker 12: Kristen's comment, I think there's really we're down to like 728 00:35:27,960 --> 00:35:32,040 Speaker 12: nine races in the House from what I understand about, 729 00:35:32,120 --> 00:35:34,440 Speaker 12: you know what's going to happen, and I think no 730 00:35:34,520 --> 00:35:36,719 Speaker 12: matter what happens, it's going to be very close. But 731 00:35:36,800 --> 00:35:40,040 Speaker 12: you can't take very many House members out of no matter, 732 00:35:40,200 --> 00:35:42,800 Speaker 12: you know, if you're a Republican unless we're in the minority. 733 00:35:43,239 --> 00:35:46,000 Speaker 12: I think you see at least a Phonica somewhere interesting. 734 00:35:46,040 --> 00:35:47,440 Speaker 2: She wants what you an ambassador? 735 00:35:47,480 --> 00:35:48,120 Speaker 3: That sounds right. 736 00:35:48,840 --> 00:35:49,960 Speaker 4: Nice to have you in New York today. 737 00:35:50,000 --> 00:35:50,960 Speaker 3: We're lucky. 738 00:35:51,560 --> 00:35:54,160 Speaker 4: Ashley Davis with us of course, and Kristen Hahn are 739 00:35:54,239 --> 00:35:58,240 Speaker 4: paneled today on Balance of Power the day after the race. 740 00:36:03,600 --> 00:36:06,799 Speaker 4: Thanks for listening to the Balance of Power podcast. Make 741 00:36:06,840 --> 00:36:09,759 Speaker 4: sure to subscribe if you haven't already, at Apple, Spotify, 742 00:36:09,880 --> 00:36:12,439 Speaker 4: or wherever you get your podcasts, and you can find 743 00:36:12,520 --> 00:36:16,160 Speaker 4: us live every weekday from Washington, DC at Noontimeeastern at 744 00:36:16,239 --> 00:36:17,560 Speaker 4: Bloomberg dot com