1 00:00:04,040 --> 00:00:07,840 Speaker 1: On this episode of Newsworld, President elect Donald J. Trump 2 00:00:08,200 --> 00:00:11,920 Speaker 1: has accomplished an incredible achievement, not only winning all seven 3 00:00:12,000 --> 00:00:16,040 Speaker 1: swing states in a landslide, but breaking historic president He 4 00:00:16,160 --> 00:00:18,600 Speaker 1: is only the second president of United States in history 5 00:00:18,960 --> 00:00:23,120 Speaker 1: to serve two non consecutive terms. The other was President 6 00:00:23,120 --> 00:00:29,320 Speaker 1: Grover Cleveland. So how did President Trump achieve this sweeping victory? 7 00:00:29,800 --> 00:00:33,280 Speaker 1: Here to provide his post election analysis on Trump's triumph, 8 00:00:33,760 --> 00:00:37,600 Speaker 1: I'm really pleased to welcome my guest, John McLachlin. He 9 00:00:37,680 --> 00:00:41,239 Speaker 1: is the CEO and partner of McLoughlin and Associates, a 10 00:00:41,360 --> 00:00:45,800 Speaker 1: national survey, research and strategic services company. He preserved as 11 00:00:45,800 --> 00:00:49,040 Speaker 1: an advisor and polster for President Donald Trump, and he 12 00:00:49,159 --> 00:00:52,479 Speaker 1: also has been a major factor in our ability to 13 00:00:52,520 --> 00:00:57,240 Speaker 1: develop the America's New Majority project. So now regard John 14 00:00:57,320 --> 00:00:59,800 Speaker 1: is a very good friend as well as somebody I admired. 15 00:00:59,800 --> 00:01:14,360 Speaker 2: Dee. Please, John, welcome and thank you for joining me 16 00:01:14,360 --> 00:01:15,000 Speaker 2: on newt World. 17 00:01:15,440 --> 00:01:17,600 Speaker 3: Well, it's an honor to be here, and it's been 18 00:01:17,640 --> 00:01:21,080 Speaker 3: an honor and privilege to work with you. And I 19 00:01:21,120 --> 00:01:24,920 Speaker 3: always tell people the story in nineteen ninety four, when 20 00:01:25,040 --> 00:01:28,399 Speaker 3: Haley Barber and Bill McCollum had contributed for me to 21 00:01:28,440 --> 00:01:31,320 Speaker 3: take a national poll to deliver to the House leadership 22 00:01:31,319 --> 00:01:34,360 Speaker 3: in September ninety four, and then we were wearing Bob 23 00:01:34,400 --> 00:01:38,039 Speaker 3: Michael's office in the Capitol and I had a plus 24 00:01:38,120 --> 00:01:42,839 Speaker 3: seven generic Republican vote and no Republican polster had ever 25 00:01:42,880 --> 00:01:47,360 Speaker 3: seen that, I think in our lifetimes. And we were 26 00:01:47,400 --> 00:01:49,120 Speaker 3: going through with you, and you were listening to the 27 00:01:49,160 --> 00:01:51,240 Speaker 3: results as we were going through them, and I'm thinking, 28 00:01:51,960 --> 00:01:55,080 Speaker 3: he's watching as his plan came together and he was 29 00:01:55,200 --> 00:01:57,760 Speaker 3: finally going to get a majority and he would be Speaker. 30 00:01:58,440 --> 00:02:01,960 Speaker 3: And having done that work for the New American Majority 31 00:02:02,000 --> 00:02:05,600 Speaker 3: project with you, we saw the results come in Tuesday, 32 00:02:05,640 --> 00:02:09,320 Speaker 3: and I'm like, it's Newt's plan again going into truition 33 00:02:09,480 --> 00:02:12,080 Speaker 3: because it's a long term plan. It's a long term view. 34 00:02:12,600 --> 00:02:16,240 Speaker 3: But President Trump, he's an historic figure, I mean, truly 35 00:02:16,360 --> 00:02:20,399 Speaker 3: unique in American politics. He just reaffirmed what he did 36 00:02:20,400 --> 00:02:23,880 Speaker 3: in sixteen, and he just did it better in twenty 37 00:02:23,919 --> 00:02:26,200 Speaker 3: twenty four. It was a much better candidate. He was 38 00:02:26,280 --> 00:02:30,120 Speaker 3: much more focused. He's principled, and he has a passionate 39 00:02:30,160 --> 00:02:32,560 Speaker 3: love for the country that he wanted to win this 40 00:02:32,639 --> 00:02:34,560 Speaker 3: election to get it back on the right track and 41 00:02:34,600 --> 00:02:37,600 Speaker 3: bring it back to a better future where he thinks 42 00:02:37,600 --> 00:02:40,200 Speaker 3: he left it at the end of his first term 43 00:02:40,200 --> 00:02:42,560 Speaker 3: and he thought the country was off the rails in 44 00:02:42,600 --> 00:02:45,560 Speaker 3: the last four years. And I think you and I 45 00:02:45,600 --> 00:02:48,680 Speaker 3: share that view. And it was amazing when you see 46 00:02:48,680 --> 00:02:50,480 Speaker 3: the results and you think of the issues and the 47 00:02:50,480 --> 00:02:53,440 Speaker 3: things that you do with the new American majority project 48 00:02:53,480 --> 00:02:59,520 Speaker 3: that the issues inflation, immigration, prime and the groups that 49 00:02:59,560 --> 00:03:02,280 Speaker 3: came together that have formed that majority coalition. We've done 50 00:03:02,320 --> 00:03:05,280 Speaker 3: probably more research than anyone else in the country on them. 51 00:03:05,400 --> 00:03:08,840 Speaker 1: Frankly, with your help analytically and your team, I think 52 00:03:08,880 --> 00:03:12,079 Speaker 1: we were able to identify opportunities which came as an 53 00:03:12,240 --> 00:03:15,440 Speaker 1: enormous shock to the national news media. I mean when 54 00:03:15,440 --> 00:03:17,919 Speaker 1: they started looking at the exit polls, they couldn't believe 55 00:03:17,960 --> 00:03:19,280 Speaker 1: the groups we were starting to win. 56 00:03:19,760 --> 00:03:22,520 Speaker 3: Yes, And when you think about it, I remember working 57 00:03:22,520 --> 00:03:24,560 Speaker 3: with our team with Brian Larkin and the focus groups 58 00:03:24,560 --> 00:03:27,000 Speaker 3: and stup Polk on the surveys. When you wanted to 59 00:03:27,040 --> 00:03:31,520 Speaker 3: do surveys of Asian voters, and we were talking about 60 00:03:31,520 --> 00:03:36,960 Speaker 3: getting the different subgroups out, you know, whether Filipinos or Chinese, Korean, etc. 61 00:03:37,280 --> 00:03:40,280 Speaker 3: I said, we ended up doing the focus groups the 62 00:03:41,000 --> 00:03:44,240 Speaker 3: Hindu voters, and you were the only one that I 63 00:03:44,360 --> 00:03:47,000 Speaker 3: O that was doing any research on those voters on 64 00:03:47,040 --> 00:03:49,880 Speaker 3: the Republican side. Anyway, the Democrats don't talk to me. 65 00:03:50,240 --> 00:03:54,440 Speaker 1: People like Taulca Gabbard and Vivek Ramaswami. You know, we 66 00:03:54,440 --> 00:03:58,200 Speaker 1: were actually being to penetrate into the Hindu community and 67 00:03:58,240 --> 00:04:00,880 Speaker 1: would be indo penetrate. And then of course with JD. 68 00:04:01,080 --> 00:04:05,160 Speaker 1: Vans's wife Lusha, also, I had a sense that probably 69 00:04:05,240 --> 00:04:09,680 Speaker 1: the most meritocratic people in the American system today are Asians. 70 00:04:10,120 --> 00:04:12,680 Speaker 1: They're the most committed to their student theirs kids studying. 71 00:04:12,920 --> 00:04:15,000 Speaker 1: They're the most committed to getting ahead by hard work 72 00:04:15,040 --> 00:04:18,480 Speaker 1: and education. And I just thought the gap between their 73 00:04:18,600 --> 00:04:21,680 Speaker 1: values and left wing, woke Democrats was going to get 74 00:04:21,720 --> 00:04:25,200 Speaker 1: to be so big. It was retarded because some man 75 00:04:25,240 --> 00:04:26,960 Speaker 1: of them live in big cities, and big cities have 76 00:04:27,000 --> 00:04:30,760 Speaker 1: been historically so democrat. But they just began to erode. 77 00:04:30,800 --> 00:04:34,000 Speaker 1: And I think there were significant difference in this election. 78 00:04:34,400 --> 00:04:37,760 Speaker 1: When did it hit you that we were probably going 79 00:04:37,839 --> 00:04:38,120 Speaker 1: to win. 80 00:04:39,279 --> 00:04:42,000 Speaker 3: It may seem kind of early on we did a 81 00:04:42,040 --> 00:04:45,039 Speaker 3: poll and was kind of written about somebody pissed it 82 00:04:45,080 --> 00:04:48,760 Speaker 3: on second hand to Bob Woodward in his book Peril 83 00:04:48,839 --> 00:04:53,840 Speaker 3: or whatever. But during impeachment the second trial Peachant. After 84 00:04:53,920 --> 00:04:56,280 Speaker 3: Donald Trump had left office and they were impeaching in 85 00:04:56,400 --> 00:04:59,039 Speaker 3: the Senate, Jason Miller had to do a survey for 86 00:04:59,120 --> 00:05:02,240 Speaker 3: President Trump and we went down to Mari Lago to 87 00:05:02,279 --> 00:05:06,040 Speaker 3: present it and he was literally in his office watching 88 00:05:06,080 --> 00:05:09,799 Speaker 3: the trial on Fox News, and I'm going through the results, 89 00:05:09,880 --> 00:05:12,400 Speaker 3: and sixty three percent of all Republicans wanted him to 90 00:05:12,480 --> 00:05:17,520 Speaker 3: run again. It was definitely against the national media narrative, 91 00:05:18,279 --> 00:05:21,479 Speaker 3: and so I knew it was possible. But then at 92 00:05:21,480 --> 00:05:24,679 Speaker 3: some point in early twenty two after the election, again 93 00:05:24,720 --> 00:05:26,920 Speaker 3: the established him and saying he shouldn't run again and 94 00:05:26,960 --> 00:05:31,679 Speaker 3: should be disantist, there's somebody else, And we just started 95 00:05:31,760 --> 00:05:34,839 Speaker 3: rolling through the primary polls where he was building up 96 00:05:34,839 --> 00:05:39,520 Speaker 3: a lead and it was passionately, strongly Susie Wiles, who 97 00:05:40,080 --> 00:05:42,840 Speaker 3: ran a brilliant campaign as the manager. When you win, 98 00:05:42,920 --> 00:05:45,520 Speaker 3: of course you could say you're brilliant, but she did 99 00:05:45,560 --> 00:05:48,680 Speaker 3: a brilliant job for the president, and fortunately we won 100 00:05:48,760 --> 00:05:51,080 Speaker 3: because it was a good job. But she had me 101 00:05:51,120 --> 00:05:56,240 Speaker 3: come down in December of twenty two and go through 102 00:05:56,240 --> 00:05:59,360 Speaker 3: a national poll because he was attacking different people, different things. 103 00:05:59,880 --> 00:06:02,160 Speaker 3: He likes to fight. Having known him for a long time. 104 00:06:02,200 --> 00:06:03,760 Speaker 3: If you appoint him at the right target, he's going 105 00:06:03,839 --> 00:06:06,800 Speaker 3: to win. He's a good fighter. I had a poll 106 00:06:06,839 --> 00:06:09,000 Speaker 3: where he was ahead, and he'd been ahead in the 107 00:06:09,120 --> 00:06:12,840 Speaker 3: national polling that we do monthly that we publish, and 108 00:06:12,880 --> 00:06:17,359 Speaker 3: he was a heading your polls too. But after the 109 00:06:17,400 --> 00:06:22,000 Speaker 3: surrender Afghanistan, Trump pulled ahead of Biden in the popular 110 00:06:22,080 --> 00:06:25,839 Speaker 3: vote because Biden did the one thing that American president's 111 00:06:25,960 --> 00:06:29,680 Speaker 3: not supposed to do, and that's surrender, and he surrendered 112 00:06:29,680 --> 00:06:32,880 Speaker 3: a whole country that wasn't a withdrawal, it was a surrender. 113 00:06:33,360 --> 00:06:36,240 Speaker 3: And that's when Trump passed doing the national popular vote. 114 00:06:36,279 --> 00:06:41,839 Speaker 3: Inflation was being triggered. They surrendered Afghanistan. And in twenty 115 00:06:41,880 --> 00:06:44,919 Speaker 3: twenty two, after the election, Susan had me to go 116 00:06:44,960 --> 00:06:46,920 Speaker 3: down and meet with him, and I said, you need 117 00:06:46,960 --> 00:06:48,920 Speaker 3: to wake up every day and hit Joe Biden. Joe 118 00:06:48,960 --> 00:06:51,280 Speaker 3: Biden has like six out of ten voters are unfavorable 119 00:06:51,320 --> 00:06:53,840 Speaker 3: to him. They disapproved of the job he's doing. They 120 00:06:53,839 --> 00:06:56,640 Speaker 3: approved the job you did as president, but they disapproved 121 00:06:56,640 --> 00:06:59,520 Speaker 3: the job that he's doing. We were just starting really 122 00:06:59,560 --> 00:07:03,480 Speaker 3: the primary season then and he'd already announced who was running. 123 00:07:03,960 --> 00:07:07,320 Speaker 3: But I said, if you can beat Joe Biden. You'll 124 00:07:07,320 --> 00:07:09,920 Speaker 3: win the nomination and then you can win the election. 125 00:07:10,200 --> 00:07:12,400 Speaker 3: If you can't beat Joe Biden, they're going to look 126 00:07:12,440 --> 00:07:16,160 Speaker 3: for somebody else. So there was a level that this 127 00:07:16,200 --> 00:07:19,400 Speaker 3: thing was very doable and I was pretty confident that 128 00:07:19,520 --> 00:07:21,560 Speaker 3: he would do it if he stayed focused. And he 129 00:07:21,680 --> 00:07:24,040 Speaker 3: really was to turn. He really was a better candidate. 130 00:07:24,560 --> 00:07:27,280 Speaker 3: He was much more message focused. It was so much 131 00:07:27,280 --> 00:07:30,240 Speaker 3: better than twenty twenty when he was president. He was 132 00:07:30,280 --> 00:07:32,320 Speaker 3: just really focused on getting the country back on the 133 00:07:32,400 --> 00:07:34,800 Speaker 3: right track. Think of all the times you met with him. 134 00:07:34,840 --> 00:07:37,679 Speaker 3: One time, I remember we called in. You were meeting 135 00:07:37,720 --> 00:07:40,320 Speaker 3: him with Larry Kudlow and Brooke Rollinds. You're having dinner 136 00:07:40,320 --> 00:07:44,400 Speaker 3: in Manhattan going over policy. Donald Trump was going on. 137 00:07:44,480 --> 00:07:46,920 Speaker 3: You were giving him some sort of policy briefing, and 138 00:07:47,000 --> 00:07:49,440 Speaker 3: Susie was there and we were on the phone for 139 00:07:49,480 --> 00:07:52,000 Speaker 3: like a half an hour talking about politics with Nasau 140 00:07:52,000 --> 00:07:55,280 Speaker 3: County Chairman Joe Cairo. He was really focused on winning 141 00:07:55,320 --> 00:07:58,440 Speaker 3: the election. It's great to succeed, but boy, there was 142 00:07:58,480 --> 00:08:01,000 Speaker 3: a confidence we could win if he did the right things. 143 00:08:16,520 --> 00:08:20,320 Speaker 1: He's won more electoral votes than he won back in sixteen, 144 00:08:20,360 --> 00:08:23,680 Speaker 1: more electoral votes than Joe Biden won. More importantly, I 145 00:08:23,720 --> 00:08:26,760 Speaker 1: think he won an absolute majority of the American people, 146 00:08:26,800 --> 00:08:31,320 Speaker 1: which I think gives him a psychological advantage in trying 147 00:08:31,320 --> 00:08:32,240 Speaker 1: to govern the country. 148 00:08:32,679 --> 00:08:35,480 Speaker 3: We were looking at the same things where in advising 149 00:08:35,520 --> 00:08:39,280 Speaker 3: President Trump, in the surveys we had, you had surveys 150 00:08:39,280 --> 00:08:42,559 Speaker 3: of African Americans, you had focus groups of African Americans, 151 00:08:42,920 --> 00:08:46,800 Speaker 3: you had surveys of Hispanic voters, you had focus groups 152 00:08:46,840 --> 00:08:49,800 Speaker 3: of Hispanic voters. And you had lots of surveys where 153 00:08:49,840 --> 00:08:52,000 Speaker 3: were looking at women and we were looking at younger voters. 154 00:08:52,640 --> 00:08:55,000 Speaker 3: And those are the groups that went for him this 155 00:08:55,160 --> 00:08:59,280 Speaker 3: time where he made historic progress. When you're looking at 156 00:08:59,280 --> 00:09:02,520 Speaker 3: the exit poles among the different groups, he got record 157 00:09:02,520 --> 00:09:05,600 Speaker 3: amounts of African American voters. Hispanic voters, they said he 158 00:09:05,640 --> 00:09:08,120 Speaker 3: got forty six percent. That's higher than George W. Bush 159 00:09:08,160 --> 00:09:10,800 Speaker 3: got in two thousand and four. They really don't break 160 00:09:10,880 --> 00:09:13,360 Speaker 3: down as much but of Asian voters. So he made 161 00:09:13,440 --> 00:09:17,320 Speaker 3: progress with young voters, He won suburban women, He got 162 00:09:17,320 --> 00:09:19,640 Speaker 3: the highest amount of ever he got among African Americans, 163 00:09:19,679 --> 00:09:24,440 Speaker 3: among Hispanic voters. That created that fifty one percent, because 164 00:09:24,480 --> 00:09:28,280 Speaker 3: the fifty one percent was not doable without those voters. 165 00:09:28,600 --> 00:09:31,640 Speaker 3: You know, that's America is becoming more diverse, It's becoming 166 00:09:31,840 --> 00:09:34,440 Speaker 3: a bigger, more mature country in a lot of ways. 167 00:09:34,440 --> 00:09:37,120 Speaker 3: It's going to hit two hundred and fifty years. We'll 168 00:09:37,120 --> 00:09:40,760 Speaker 3: be coming up on that anniversary soon. He totally changed 169 00:09:40,800 --> 00:09:43,800 Speaker 3: the Republican Party. It's now the Party of working men 170 00:09:43,840 --> 00:09:46,880 Speaker 3: and women, which is the majority of people in the country. 171 00:09:47,080 --> 00:09:50,520 Speaker 3: So and it cuts across all these different voter groups. 172 00:09:51,000 --> 00:09:54,680 Speaker 3: So he's changed the Republican Party to reflect the majority 173 00:09:54,679 --> 00:09:57,240 Speaker 3: of the voters in the country. And now on the 174 00:09:57,280 --> 00:10:00,360 Speaker 3: ballot he got the fifty one percent. I think that 175 00:10:00,480 --> 00:10:03,200 Speaker 3: shocked a lot of people. I think it shocked Joe Biden, 176 00:10:03,240 --> 00:10:05,880 Speaker 3: and shocked Kennil Harris, and shocked a lot of the Democrats. 177 00:10:06,080 --> 00:10:10,000 Speaker 1: I think it actually pulled the plug on a lot 178 00:10:10,040 --> 00:10:13,240 Speaker 1: of people who were prepared to demonstrate if he'd won 179 00:10:13,400 --> 00:10:16,400 Speaker 1: really narrowly, and all of a sudden, they were faced 180 00:10:16,400 --> 00:10:20,240 Speaker 1: with a majority of Americans disagree with me. That's a 181 00:10:20,240 --> 00:10:23,400 Speaker 1: pretty big moral burden to then jump up in protest. 182 00:10:23,400 --> 00:10:27,319 Speaker 1: And I think it really changed qualitatively what's possible in 183 00:10:27,360 --> 00:10:28,040 Speaker 1: the near future. 184 00:10:28,720 --> 00:10:30,720 Speaker 3: And when you look at it, think about when you're 185 00:10:30,760 --> 00:10:35,119 Speaker 3: watching the results, all of a sudden, they stopped counting Arizona. 186 00:10:35,880 --> 00:10:40,520 Speaker 3: It's only half the votes. Arizona, they stopped at like 187 00:10:40,600 --> 00:10:44,800 Speaker 3: half and it took them hours. To Nevada. They stopped counting, 188 00:10:45,200 --> 00:10:47,840 Speaker 3: and you're looking at and say, you know what's going on. 189 00:10:47,880 --> 00:10:50,800 Speaker 3: They're holding out votes because previously you're looking at the 190 00:10:50,840 --> 00:10:54,080 Speaker 3: Eastern states. I mean, Florida came in really well, and 191 00:10:54,080 --> 00:10:56,240 Speaker 3: it came in early as always, and that was good, 192 00:10:56,720 --> 00:11:00,320 Speaker 3: and Georgia was coming in consistently. We're holding a lead, 193 00:11:00,679 --> 00:11:03,040 Speaker 3: and we knew that most of the voters had voted 194 00:11:03,160 --> 00:11:08,559 Speaker 3: early in Georgia, and from the internal tracking and targeting 195 00:11:08,600 --> 00:11:11,280 Speaker 3: in the campaign and the internal polling, we knew we 196 00:11:11,320 --> 00:11:12,880 Speaker 3: had to lead in Georgia and we knew we were 197 00:11:12,920 --> 00:11:15,600 Speaker 3: going to lead, and they kept counting, but they weren't 198 00:11:15,640 --> 00:11:18,360 Speaker 3: calling it. They were just holding it. And then the 199 00:11:18,480 --> 00:11:23,280 Speaker 3: same thing in North Carolina Virginia were closed for a while. 200 00:11:23,280 --> 00:11:26,079 Speaker 3: We were ahead of Virginia, so those states count early. 201 00:11:26,440 --> 00:11:29,920 Speaker 3: And then you're looking at Pennsylvania, Wisconsin, and Michigan and 202 00:11:29,960 --> 00:11:32,680 Speaker 3: you know they're holding something out. We've been here before, 203 00:11:32,760 --> 00:11:36,439 Speaker 3: and it's like okay. Literally, when they stopped counting Arizona 204 00:11:36,480 --> 00:11:39,160 Speaker 3: and Nevado, like something's up. They were going into shock. 205 00:11:39,240 --> 00:11:40,800 Speaker 3: They didn't want to believe it. They didn't want to 206 00:11:40,840 --> 00:11:44,280 Speaker 3: believe that some late surge in Philadelphia could help them 207 00:11:44,320 --> 00:11:48,960 Speaker 3: win Pennsylvania, or some box of ballots that they'll find 208 00:11:49,040 --> 00:11:51,520 Speaker 3: in Fulton County again would help them. When it was 209 00:11:51,559 --> 00:11:52,679 Speaker 3: past that, and. 210 00:11:52,640 --> 00:11:56,120 Speaker 1: I have to say because my younger daughter Jackie and 211 00:11:56,120 --> 00:11:59,600 Speaker 1: her husband Jimmy went down to the vote counting center 212 00:11:59,640 --> 00:12:04,360 Speaker 1: in county and the election reforms had worked. They'd cleaned 213 00:12:04,360 --> 00:12:06,400 Speaker 1: the whole thing up. They said it was just a 214 00:12:06,520 --> 00:12:10,600 Speaker 1: very clean, very straightforward evening of the way it ought Toby. 215 00:12:10,880 --> 00:12:14,640 Speaker 1: So that was a huge change from twenty twenty and. 216 00:12:14,640 --> 00:12:17,040 Speaker 3: That was an important change. And credit has to go 217 00:12:17,080 --> 00:12:20,920 Speaker 3: to the late Speaker David Ralston. After what happened in 218 00:12:20,960 --> 00:12:24,480 Speaker 3: twenty twenty, they were embarrassed by it, and he had 219 00:12:24,520 --> 00:12:26,200 Speaker 3: a bill put in where you were going to have 220 00:12:26,880 --> 00:12:30,400 Speaker 3: voter ide whether you voted early in person, whether you 221 00:12:30,679 --> 00:12:33,920 Speaker 3: voted by dropbox, whether you sent it an absentee you 222 00:12:33,960 --> 00:12:36,480 Speaker 3: needed ID and whether you've got on an election day 223 00:12:36,520 --> 00:12:39,079 Speaker 3: you needed. So voter idea was going to be uniform 224 00:12:39,120 --> 00:12:44,280 Speaker 3: throughout Georgia and without any substance, and with only malice. 225 00:12:44,280 --> 00:12:47,560 Speaker 3: They were attacking it as a racist law. They remember 226 00:12:47,640 --> 00:12:51,480 Speaker 3: Biden called a racist Jim Crow, and they forced Major 227 00:12:51,559 --> 00:12:56,040 Speaker 3: League Baseball to take away the All Star Game from Georgia. 228 00:12:56,840 --> 00:12:59,760 Speaker 3: Fortunately for Braves fans, they won the World Series that year. 229 00:13:00,240 --> 00:13:03,440 Speaker 3: But Schiga, Rawlson, Governor Camp, they stuck by their guns. 230 00:13:03,920 --> 00:13:07,760 Speaker 3: Hey stuck by their principles, and they got voter ID passed. 231 00:13:07,920 --> 00:13:11,000 Speaker 3: And you saw it when Governor Camp got re elected 232 00:13:11,000 --> 00:13:13,600 Speaker 3: in the midterm and when Donald Trump won this election. 233 00:13:14,240 --> 00:13:18,679 Speaker 3: No one is saying that the election was done improperly, 234 00:13:18,760 --> 00:13:21,439 Speaker 3: that somebody's civil rights were denied or anything like that. 235 00:13:21,800 --> 00:13:24,360 Speaker 3: In the midterm when herschel Walker lost and when Governor 236 00:13:24,400 --> 00:13:28,400 Speaker 3: Camp got reelected, Stacy Abers wasn't complaining there was something 237 00:13:28,480 --> 00:13:31,760 Speaker 3: unfair about the election this year in Georgia, win or lose, 238 00:13:31,840 --> 00:13:35,280 Speaker 3: but fortunately we won. Donald Trump willed that election, and 239 00:13:35,360 --> 00:13:37,600 Speaker 3: as you said, the law worked perfectly. I mean, voter 240 00:13:37,679 --> 00:13:40,960 Speaker 3: idea is something that every state should have. The country's 241 00:13:41,000 --> 00:13:42,000 Speaker 3: too big not to do it. 242 00:13:42,280 --> 00:13:47,160 Speaker 1: I also thought that Trump's decision to do things like 243 00:13:47,280 --> 00:13:50,520 Speaker 1: Madison Square Garden and to be in New York several 244 00:13:50,559 --> 00:13:53,400 Speaker 1: times in terms of getting to the fifty one percent, 245 00:13:54,000 --> 00:13:57,000 Speaker 1: one of the big changes is these blue states where 246 00:13:57,040 --> 00:13:59,280 Speaker 1: he's cutting the margin in half. He's not carrying them, 247 00:14:00,400 --> 00:14:04,760 Speaker 1: he's increasing the possibility of having a national majority. And 248 00:14:05,040 --> 00:14:08,240 Speaker 1: in New York City, Harris had a thirty seven point margin, 249 00:14:08,720 --> 00:14:11,720 Speaker 1: which sounds great, except Biden had a fifty three point 250 00:14:11,800 --> 00:14:15,079 Speaker 1: margin and Hillary had a sixty two point margin. So 251 00:14:15,480 --> 00:14:18,400 Speaker 1: just cutting it down from fifty three to thirty seven, 252 00:14:18,720 --> 00:14:21,320 Speaker 1: you know, Trump was up twenty one points in the Bronx, 253 00:14:21,360 --> 00:14:24,720 Speaker 1: twenty points in Queens, eleven points in Brooklyn. I mean, 254 00:14:25,160 --> 00:14:27,880 Speaker 1: all of that added up as having a national majority, 255 00:14:28,280 --> 00:14:30,800 Speaker 1: which I think as long as you win the elector college, 256 00:14:30,960 --> 00:14:33,920 Speaker 1: if you can also then win a national majority, your 257 00:14:34,000 --> 00:14:36,520 Speaker 1: authority to govern goes up dramatically. 258 00:14:37,760 --> 00:14:40,880 Speaker 3: Absolutely, And a lot of people were coming from New 259 00:14:40,960 --> 00:14:43,680 Speaker 3: York and Donald Trump. The first survey he did in 260 00:14:43,720 --> 00:14:47,040 Speaker 3: twenty sixteen stay wide after he'd secured the nomination was 261 00:14:47,160 --> 00:14:49,280 Speaker 3: New York. He wanted to win New York, this is 262 00:14:49,320 --> 00:14:52,440 Speaker 3: his home state back then, and speaking at the Garden, 263 00:14:52,680 --> 00:14:54,840 Speaker 3: you know, over a year ago before he did it, 264 00:14:55,280 --> 00:14:57,920 Speaker 3: he was talking about having a rally at the Garden 265 00:14:57,920 --> 00:15:01,400 Speaker 3: because I've heard Ciski had nine hundred rallies in his 266 00:15:01,520 --> 00:15:04,440 Speaker 3: political career. No one's ever done that, and it's a 267 00:15:04,480 --> 00:15:07,800 Speaker 3: great organizing tool. You everybody's cell phones and you get 268 00:15:07,800 --> 00:15:09,880 Speaker 3: their emails and they want to go to these things. 269 00:15:09,880 --> 00:15:12,760 Speaker 3: It's a great organizer too for your activists. But he 270 00:15:12,840 --> 00:15:15,280 Speaker 3: can fill these places. But he was talking about having 271 00:15:15,520 --> 00:15:18,680 Speaker 3: the garden, and you could see Chris Losovina and Susie 272 00:15:18,680 --> 00:15:20,880 Speaker 3: Wills when he was talking about them being the managers, 273 00:15:20,920 --> 00:15:23,280 Speaker 3: though they'd have to pay for it, and it wasn't 274 00:15:23,280 --> 00:15:26,680 Speaker 3: a battleground state. Ten presidents have spoken there. I think 275 00:15:26,800 --> 00:15:27,720 Speaker 3: fourteen times. 276 00:15:28,040 --> 00:15:30,760 Speaker 1: We pulled that up and then gave it to the team. 277 00:15:31,280 --> 00:15:34,680 Speaker 1: When they started talking about the nineteen thirty nine Nazi rally, 278 00:15:35,000 --> 00:15:39,560 Speaker 1: people forgot Bill Clinton was nominated in Messa Square Cardon. 279 00:15:40,000 --> 00:15:43,040 Speaker 1: I think it was that kind of absurdity that ultimately 280 00:15:43,160 --> 00:15:46,280 Speaker 1: under cut Harris's chance to be taken seriously. 281 00:15:46,720 --> 00:15:49,000 Speaker 3: Yes, and Jimmy Korra was nominated there, and it was 282 00:15:49,040 --> 00:15:51,840 Speaker 3: like George W. Bush after nine to eleven. What they 283 00:15:51,840 --> 00:15:54,920 Speaker 3: were missing was Donald Trump was talking about issues and 284 00:15:54,960 --> 00:15:58,120 Speaker 3: talking about policies. He was talking about his performance, because 285 00:15:58,160 --> 00:16:01,440 Speaker 3: what we saw in the surveys was President Trump had 286 00:16:01,560 --> 00:16:04,240 Speaker 3: net positive ratings. When he asked you did you approve 287 00:16:04,240 --> 00:16:07,160 Speaker 3: it disapprove his job. Ratings in the battleground states they 288 00:16:07,160 --> 00:16:09,960 Speaker 3: approved fifty one forty eight. But then if you asked 289 00:16:10,360 --> 00:16:13,360 Speaker 3: you approved disapproved of the job that Joe Biden had, 290 00:16:13,760 --> 00:16:17,040 Speaker 3: he had like a fifty eight to fifty nine percent disapproval, 291 00:16:17,480 --> 00:16:20,840 Speaker 3: and Kamala Harris was forty three approved, fifty three disapproved. 292 00:16:21,440 --> 00:16:24,760 Speaker 3: So the majority disapproved of the job. And this was 293 00:16:24,800 --> 00:16:27,800 Speaker 3: true in the national polls. The majority disapproved of the 294 00:16:27,880 --> 00:16:31,040 Speaker 3: job that Biden and Harris were doing. So every vote 295 00:16:31,040 --> 00:16:34,280 Speaker 3: we could get was in that disapproval. And it was 296 00:16:34,320 --> 00:16:37,880 Speaker 3: a matter of just running a contrast campaign on the issues, 297 00:16:38,320 --> 00:16:41,960 Speaker 3: you know, as a character contrast that as president, he 298 00:16:41,960 --> 00:16:44,920 Speaker 3: would do a better job on inflation and grow the economy, 299 00:16:44,920 --> 00:16:46,760 Speaker 3: he would do a better job on taxes, he would 300 00:16:46,800 --> 00:16:50,200 Speaker 3: do a better job on crime, on securing the border, 301 00:16:50,680 --> 00:16:54,520 Speaker 3: on national security, and that kind of focus was good. 302 00:16:54,600 --> 00:16:57,440 Speaker 3: But the Democrats, in the end, their message came down 303 00:16:57,480 --> 00:17:01,920 Speaker 3: to political character assessed a nation, as you mentioned, calling 304 00:17:01,960 --> 00:17:06,080 Speaker 3: him a fascist, calling a Nazi, going after him as unhinged, 305 00:17:06,119 --> 00:17:08,080 Speaker 3: and it was old personality based. 306 00:17:24,200 --> 00:17:26,320 Speaker 1: Do you think dumping Biden was a mistake. 307 00:17:27,280 --> 00:17:29,600 Speaker 3: Yeah, I think it was a mistake. There was a 308 00:17:29,640 --> 00:17:34,720 Speaker 3: mistake on two levels, because the real problem was their 309 00:17:34,760 --> 00:17:39,639 Speaker 3: policies were failing. Inflation was still high, supermarket prices hadn't 310 00:17:39,640 --> 00:17:43,600 Speaker 3: gone down. People's rents were going up. It costs significantly 311 00:17:43,600 --> 00:17:46,240 Speaker 3: more by a used car or a new car. Mortgage rates, 312 00:17:46,359 --> 00:17:49,159 Speaker 3: you know, your payment that the average person would make 313 00:17:49,160 --> 00:17:52,440 Speaker 3: on a home had doubled since Trump was president. Their 314 00:17:52,480 --> 00:17:56,119 Speaker 3: problem was they didn't fix the policies. So he was 315 00:17:56,160 --> 00:18:00,480 Speaker 3: perceived as more of a moderate centrist Democrat, but his 316 00:18:00,600 --> 00:18:04,440 Speaker 3: policies went left and they failed. So inflation was high, 317 00:18:04,600 --> 00:18:08,800 Speaker 3: government spending was too much, taxes were still high. America's 318 00:18:08,840 --> 00:18:11,520 Speaker 3: week in the world. The border was wide open, so 319 00:18:11,680 --> 00:18:15,840 Speaker 3: crime was going up. Ventol coming over. So instead of 320 00:18:15,880 --> 00:18:19,040 Speaker 3: trying to moderate like Bill Clinton did, and you had 321 00:18:19,080 --> 00:18:22,240 Speaker 3: a road seated this. When Clinton realized he had to 322 00:18:22,240 --> 00:18:24,880 Speaker 3: get reelected after you wiped him out in ninety four, 323 00:18:25,359 --> 00:18:28,680 Speaker 3: what did he do. He put in workfare, he had 324 00:18:28,680 --> 00:18:32,000 Speaker 3: a capital gains tax cut. He moderated him. 325 00:18:32,440 --> 00:18:35,040 Speaker 1: One of the side effects this year is the Republicans 326 00:18:35,040 --> 00:18:37,719 Speaker 1: getting to control of the Senate back, and it strikes 327 00:18:37,760 --> 00:18:41,000 Speaker 1: me that's a huge deal in terms of getting nominees 328 00:18:41,000 --> 00:18:44,320 Speaker 1: through and getting all sorts of stuff scheduled that the 329 00:18:44,359 --> 00:18:47,439 Speaker 1: Democrats would have fought every day to try to stop. 330 00:18:47,840 --> 00:18:50,600 Speaker 1: How much of the picking up the Senate do you 331 00:18:50,640 --> 00:18:52,240 Speaker 1: think was the side effect of Trump. 332 00:18:52,840 --> 00:18:55,920 Speaker 3: Trump was a foundation they could all stand on. There 333 00:18:56,000 --> 00:19:00,280 Speaker 3: was very little ticket splitting that you'd see there when 334 00:19:00,359 --> 00:19:03,400 Speaker 3: Trump was all of a sudden, that a month out 335 00:19:03,400 --> 00:19:07,119 Speaker 3: when they said it was Democrats leaking the poles. You 336 00:19:07,240 --> 00:19:10,840 Speaker 3: had Tamy Bolwin Leacol Poles saying that Trump was ahead 337 00:19:10,840 --> 00:19:14,360 Speaker 3: in Wisconsin, and you had slock In the Democrat Michigan 338 00:19:14,400 --> 00:19:17,159 Speaker 3: saying that Trump was ahead there. The panic was raging, 339 00:19:17,440 --> 00:19:21,240 Speaker 3: and Bob Casey, my brother Jim did for Dave McCormick, 340 00:19:21,800 --> 00:19:25,080 Speaker 3: all of a sudden, Casey's running ads that he supported 341 00:19:25,119 --> 00:19:28,760 Speaker 3: Trump on different things to tariffs or whatever, and you're like, 342 00:19:29,240 --> 00:19:31,600 Speaker 3: I guess those poles are right. It was very similar 343 00:19:31,600 --> 00:19:34,480 Speaker 3: to Reagan and he When Reagan got fifty percent of 344 00:19:34,480 --> 00:19:38,000 Speaker 3: the vote nationally, he also had fifty five Senate seats 345 00:19:38,320 --> 00:19:40,199 Speaker 3: because he picked up a number of Senate seats in 346 00:19:40,240 --> 00:19:43,040 Speaker 3: that year, and they were radical Democrats being voted out. 347 00:19:43,119 --> 00:19:46,359 Speaker 3: It was like history repeating himself. Somebody like Bob Casey, 348 00:19:46,400 --> 00:19:49,760 Speaker 3: who appears to have lost in Pennsylvania that could get 349 00:19:49,800 --> 00:19:53,120 Speaker 3: us to fifty three seats. I think there's a possibility 350 00:19:53,160 --> 00:19:56,800 Speaker 3: that only seventy five percent has counted in Arizona right now, 351 00:19:56,840 --> 00:20:00,120 Speaker 3: and Carret Lake seems to be closing that margin significantly, 352 00:20:00,160 --> 00:20:03,359 Speaker 3: So maybe she could come through. Because Trump won Arizona 353 00:20:03,480 --> 00:20:06,760 Speaker 3: decisively where he's won it by five points. If you're 354 00:20:06,840 --> 00:20:11,160 Speaker 3: voting for Trump, he's raising the foundation for all these 355 00:20:11,160 --> 00:20:16,480 Speaker 3: Senate candidates, and it basically is delivered a Republican Senate majority, 356 00:20:16,560 --> 00:20:20,800 Speaker 3: which goes into your long term vision about this is 357 00:20:20,880 --> 00:20:24,680 Speaker 3: not just one election, one presidential election. This is about 358 00:20:24,680 --> 00:20:29,760 Speaker 3: creating a new governing coalition where the country needs to 359 00:20:29,800 --> 00:20:33,920 Speaker 3: be turned around, needs to be reformed, needs a lot 360 00:20:33,960 --> 00:20:37,040 Speaker 3: of reform in its institutions and the way the government 361 00:20:37,080 --> 00:20:40,000 Speaker 3: serves in the twenty first century compared to a twentieth 362 00:20:40,040 --> 00:20:43,640 Speaker 3: century government. If they're Republicans, if they have a majority 363 00:20:43,680 --> 00:20:46,320 Speaker 3: like that in the Senate. And Trump made a lot 364 00:20:46,359 --> 00:20:51,080 Speaker 3: of policy proposals during the campaign. He did him on video, 365 00:20:51,200 --> 00:20:53,960 Speaker 3: he put him out. His platform that you helped him 366 00:20:53,960 --> 00:20:58,280 Speaker 3: with was shorter, but there was very specific proposals in there. 367 00:20:58,680 --> 00:21:01,520 Speaker 3: And if he can implement them, those things that the 368 00:21:01,560 --> 00:21:04,520 Speaker 3: majority of voters agree with you know, we could have 369 00:21:04,560 --> 00:21:07,080 Speaker 3: a good midterm election in defy history. Again. 370 00:21:07,560 --> 00:21:09,520 Speaker 1: I think his trying to look back and think that 371 00:21:10,200 --> 00:21:13,720 Speaker 1: Elon Musk emerging as a figure in government. If he 372 00:21:13,840 --> 00:21:18,160 Speaker 1: applies that kind of visionary rethinking to the federal government, 373 00:21:19,040 --> 00:21:23,520 Speaker 1: we may have a dramatically better and remarkably cheaper government 374 00:21:23,960 --> 00:21:26,600 Speaker 1: in three or four years, maybe one of those transformational 375 00:21:26,640 --> 00:21:29,480 Speaker 1: moments when we look back and go, well, you know, 376 00:21:29,560 --> 00:21:32,000 Speaker 1: how did that happen? When I look at the people 377 00:21:32,040 --> 00:21:37,080 Speaker 1: he's surrounding himself with, there is dramatically more talent than 378 00:21:37,119 --> 00:21:40,480 Speaker 1: there was in twenty sixteen, partly because he's been president, 379 00:21:40,480 --> 00:21:43,280 Speaker 1: he's been around a long time, but partially because he's 380 00:21:43,320 --> 00:21:47,800 Speaker 1: gotten better. I think it looking for entrepreneurial personalities that 381 00:21:47,840 --> 00:21:50,400 Speaker 1: could actually change things. So many like Vivik for example, 382 00:21:50,400 --> 00:21:53,040 Speaker 1: who may run for governor of Ohio, but if he's 383 00:21:53,080 --> 00:21:56,959 Speaker 1: willing to, he would be a transformational cabinet officer. Just 384 00:21:57,040 --> 00:22:00,320 Speaker 1: his drive, his energy, his entrepreneurship, he could take one 385 00:22:00,320 --> 00:22:03,119 Speaker 1: of the major departments and dramatically improve it. 386 00:22:04,080 --> 00:22:08,320 Speaker 3: Yes, when you think about it, Trump succeeds by surrounding 387 00:22:08,400 --> 00:22:12,040 Speaker 3: himself with talented people and then taking credit for what 388 00:22:12,119 --> 00:22:15,760 Speaker 3: they do. But that's leadership internally. In the campaign, we 389 00:22:15,760 --> 00:22:19,200 Speaker 3: were asking during the primary, do you think Donald Trump 390 00:22:19,480 --> 00:22:23,280 Speaker 3: would be a better president than his last term? The same, 391 00:22:23,359 --> 00:22:27,040 Speaker 3: about the same or worse? And the number of voters 392 00:22:27,160 --> 00:22:30,280 Speaker 3: if the majority said as we built a majority who 393 00:22:30,320 --> 00:22:32,480 Speaker 3: said he'll be a better president, as he would put 394 00:22:32,520 --> 00:22:36,240 Speaker 3: out policy ideas, he would put out vision, his votes 395 00:22:36,240 --> 00:22:39,159 Speaker 3: in the primary solidified and his leads got bigger. We 396 00:22:39,160 --> 00:22:41,399 Speaker 3: were asking in the general, Tony for Brizzio and I 397 00:22:41,480 --> 00:22:44,480 Speaker 3: we kept it something I suggested it to Tony, and 398 00:22:44,520 --> 00:22:48,000 Speaker 3: when we kept that we could break fifty percent that Trump, 399 00:22:48,359 --> 00:22:50,440 Speaker 3: even though when the polls were showing us we were 400 00:22:50,520 --> 00:22:53,840 Speaker 3: under fifty percent nationally, or they were showing us that 401 00:22:53,920 --> 00:22:55,960 Speaker 3: we might not be a head in the battleground states, 402 00:22:56,640 --> 00:22:59,920 Speaker 3: his job approval was a leading indicator. In the pent 403 00:23:00,320 --> 00:23:03,200 Speaker 3: that he'd be a better president was the leading indicator, 404 00:23:03,240 --> 00:23:05,360 Speaker 3: which is why the Democrats kept trying to get us 405 00:23:05,400 --> 00:23:08,520 Speaker 3: off those topics that bring us back to some sort 406 00:23:08,520 --> 00:23:09,800 Speaker 3: of personal character fight. 407 00:23:10,320 --> 00:23:11,840 Speaker 1: I think at the same time, as part of that, 408 00:23:12,240 --> 00:23:15,080 Speaker 1: I noticed every time you'd say here are the undecided, 409 00:23:15,160 --> 00:23:18,240 Speaker 1: and you'd look at what were their underlying characteristics, they 410 00:23:18,240 --> 00:23:21,040 Speaker 1: were about two to one in favor of Trump, and 411 00:23:21,119 --> 00:23:23,320 Speaker 1: I kept thinking, wait a second, if they agree with 412 00:23:23,359 --> 00:23:25,880 Speaker 1: them on everything, when they were finally forced to decide 413 00:23:25,880 --> 00:23:29,040 Speaker 1: by the calendar, and they can't hide anymore that they're 414 00:23:29,040 --> 00:23:31,080 Speaker 1: going to break, and they did. I mean, people thought 415 00:23:31,119 --> 00:23:33,679 Speaker 1: they were going to break for Harris. How much do 416 00:23:33,720 --> 00:23:37,600 Speaker 1: you think her utter total incompetence weakened that campaign? 417 00:23:38,160 --> 00:23:41,040 Speaker 3: Ultimately, it was flawed because of that. And that was 418 00:23:41,080 --> 00:23:44,199 Speaker 3: the thing about biden pull out or not, because she 419 00:23:44,400 --> 00:23:48,160 Speaker 3: was as responsible for him as the bad policies. And 420 00:23:48,359 --> 00:23:51,720 Speaker 3: what was amazing what we witnessed was here you had 421 00:23:51,760 --> 00:23:56,920 Speaker 3: somebody who basically had never won a primary, never want 422 00:23:56,960 --> 00:24:00,199 Speaker 3: to caucus, and she was handpicked by Biden, and he 423 00:24:00,240 --> 00:24:05,360 Speaker 3: stepped aside to be the nominee. And the way they 424 00:24:05,400 --> 00:24:08,000 Speaker 3: forced it out. And think about our monthly national poll 425 00:24:08,160 --> 00:24:10,640 Speaker 3: we released at the end of June. Trump was had 426 00:24:10,680 --> 00:24:16,000 Speaker 3: by Tim and then Trump debates Joe Biden. Joe Biden 427 00:24:16,000 --> 00:24:18,200 Speaker 3: comes off as too old, but also he's wrong on 428 00:24:18,280 --> 00:24:21,399 Speaker 3: a lot of policies. The media manufactures a bunch of 429 00:24:21,440 --> 00:24:25,000 Speaker 3: polls to force him to step aside. The actor Clooney's 430 00:24:25,040 --> 00:24:27,760 Speaker 3: sending it out a letter sand he needs to step aside. 431 00:24:27,960 --> 00:24:31,600 Speaker 3: So the liberal elites are dumping the guy, forcing him 432 00:24:31,600 --> 00:24:35,639 Speaker 3: out with the liberal media. And then Trump has a 433 00:24:35,640 --> 00:24:38,119 Speaker 3: great first of all, he survives an assassin's bullet, by 434 00:24:38,160 --> 00:24:41,360 Speaker 3: the grace of God. He then has a great convention 435 00:24:41,440 --> 00:24:45,200 Speaker 3: in Milwaukee. Parties totally united, and Joe Biden gets out 436 00:24:45,240 --> 00:24:48,640 Speaker 3: that Sunday and he hand picks kunt Eala Harris. And 437 00:24:48,880 --> 00:24:53,639 Speaker 3: she had double digit negatives already. She was this incompetent 438 00:24:53,680 --> 00:24:57,040 Speaker 3: vice president and all of a sudden, the media remakes 439 00:24:57,040 --> 00:25:01,040 Speaker 3: her into this change and going to turn the page 440 00:25:01,080 --> 00:25:04,159 Speaker 3: and she's going to be all and a friend Brent Bozel, 441 00:25:04,200 --> 00:25:07,120 Speaker 3: who's doing the media research studies, she's getting over ninety 442 00:25:07,160 --> 00:25:10,200 Speaker 3: percent positive press and Trump was getting over ninety percent 443 00:25:10,280 --> 00:25:13,960 Speaker 3: negative press in the studies. And you'd give a negative 444 00:25:13,960 --> 00:25:16,159 Speaker 3: press to a guy who was nearly killed. 445 00:25:16,600 --> 00:25:21,639 Speaker 4: So her incompetence that people had to focus on before 446 00:25:21,880 --> 00:25:26,360 Speaker 4: Biden got out and before the transformation began, was totally 447 00:25:26,400 --> 00:25:29,040 Speaker 4: overlooked and fabricated, and they were trying to run some 448 00:25:29,080 --> 00:25:33,080 Speaker 4: sort of like European style snap election after they remade her. 449 00:25:33,600 --> 00:25:36,960 Speaker 3: It was flowed because it wasn't too short of times. 450 00:25:37,000 --> 00:25:39,320 Speaker 3: There was enough time that people would look at her 451 00:25:39,320 --> 00:25:42,240 Speaker 3: and say, she's really not qualified, and she never did. 452 00:25:42,320 --> 00:25:44,320 Speaker 3: By the way, she never did a full press conference 453 00:25:44,400 --> 00:25:47,120 Speaker 3: during the whole campaign. She did over one hundred days 454 00:25:47,119 --> 00:25:50,400 Speaker 3: without doing a press commerce, and she was running for president. 455 00:25:50,920 --> 00:25:53,720 Speaker 3: The media was fine with that, and the only debate 456 00:25:53,760 --> 00:25:56,919 Speaker 3: they did, fortunately was done early enough because it was 457 00:25:57,000 --> 00:25:59,760 Speaker 3: three on one. They had the fact checks for Trump 458 00:26:00,119 --> 00:26:03,600 Speaker 3: already by the time he's going in. It's like the 459 00:26:03,880 --> 00:26:05,160 Speaker 3: Harris campaign. 460 00:26:04,760 --> 00:26:09,520 Speaker 1: Right alternative universe. If we had had a neutral press 461 00:26:10,160 --> 00:26:13,040 Speaker 1: that had not suppressed Trump and pumped her up, what 462 00:26:13,119 --> 00:26:14,400 Speaker 1: do you think the outcome would have been. 463 00:26:14,560 --> 00:26:16,680 Speaker 3: I think Trump would have won by even more, maybe 464 00:26:16,760 --> 00:26:19,480 Speaker 3: fifty five to sixty percent of the vote was in reach. 465 00:26:19,359 --> 00:26:20,840 Speaker 1: Because it occurred to me one of the things that 466 00:26:20,880 --> 00:26:26,080 Speaker 1: neither Nixon nor reaganhead was the scale of media dishonesty. 467 00:26:26,520 --> 00:26:27,719 Speaker 1: Let me ask you two of the things. One, I 468 00:26:27,720 --> 00:26:29,920 Speaker 1: want to go back to Arizona because I was really 469 00:26:30,000 --> 00:26:34,280 Speaker 1: surprised that the county that Phoenix is in is actually 470 00:26:34,320 --> 00:26:38,560 Speaker 1: a Republican county Maricopa. Yeah, so why is it a problem? 471 00:26:38,640 --> 00:26:41,040 Speaker 1: I mean, or do they not vote functionally Republican? 472 00:26:41,680 --> 00:26:44,679 Speaker 3: It's a suburban swing county. So what happens, it can 473 00:26:44,800 --> 00:26:47,040 Speaker 3: come out from under you. There's a lot of John 474 00:26:47,080 --> 00:26:50,120 Speaker 3: McCain voters still out there. I think it became more 475 00:26:50,160 --> 00:26:53,399 Speaker 3: Trump country because of the open border. Although they were 476 00:26:53,400 --> 00:26:55,440 Speaker 3: removed from the border, they're getting a lot of people 477 00:26:55,480 --> 00:26:58,680 Speaker 3: there the effects from the open border. And the governor 478 00:26:59,359 --> 00:27:03,560 Speaker 3: who was there. She got elected as a soro secretary 479 00:27:03,600 --> 00:27:06,320 Speaker 3: of State when the source nonprofits were helping her, and 480 00:27:06,359 --> 00:27:09,640 Speaker 3: then she became the governor in a close race against 481 00:27:09,720 --> 00:27:13,119 Speaker 3: Kerry Lake in the midterms. You know, I think the 482 00:27:13,160 --> 00:27:17,159 Speaker 3: problems are that Sores came up with that strategy to 483 00:27:17,280 --> 00:27:20,600 Speaker 3: control the elections, and district attorneys control the Secretary of 484 00:27:20,640 --> 00:27:23,399 Speaker 3: States who control the election, and it really hurts in 485 00:27:23,480 --> 00:27:26,359 Speaker 3: twenty twenty. I mean, it absolutely hurts in twenty twenty, Badley, 486 00:27:26,920 --> 00:27:30,920 Speaker 3: I think you're seeing more Arizona go back to its 487 00:27:31,600 --> 00:27:36,720 Speaker 3: more traditional Republican history because they're so impacted by the border. 488 00:27:37,600 --> 00:27:40,080 Speaker 3: And you know, they do have a history of moderate 489 00:27:40,119 --> 00:27:43,520 Speaker 3: Democrats getting elected in the state, and Kelly tries to 490 00:27:43,560 --> 00:27:46,520 Speaker 3: portray him itself as a monorate, but they haven't voted moderate. 491 00:27:46,640 --> 00:27:50,160 Speaker 3: But it's a battlegram in Americape is a suburban county 492 00:27:50,200 --> 00:27:52,840 Speaker 3: where you have a lot of swing voters. You have 493 00:27:52,920 --> 00:27:55,200 Speaker 3: some more people that have moved there from California flee 494 00:27:55,280 --> 00:27:59,119 Speaker 3: in California. It seems appropriate like it's right between Texas 495 00:27:59,280 --> 00:28:02,480 Speaker 3: and California, and that's where it meets a lot of 496 00:28:02,560 --> 00:28:06,120 Speaker 3: the Hispanic voters that are there are legal became citizens. 497 00:28:06,119 --> 00:28:08,560 Speaker 3: You've done focus groups of those voters out there with us. 498 00:28:08,440 --> 00:28:12,200 Speaker 1: Where they are really anti illegal right, because they paid 499 00:28:12,200 --> 00:28:16,120 Speaker 1: their dues and they don't want Arizona to turn into Mexico. 500 00:28:16,760 --> 00:28:20,080 Speaker 3: Right. I think four years ago during COVID, we had 501 00:28:20,080 --> 00:28:23,680 Speaker 3: that problem. It was just a bad confluence of things 502 00:28:23,720 --> 00:28:26,919 Speaker 3: going on there that we barely lost the state. But 503 00:28:28,000 --> 00:28:31,440 Speaker 3: it appears to Donald Trump's hard work and the message 504 00:28:31,480 --> 00:28:34,280 Speaker 3: and the issues that resonated and we've won decisively there 505 00:28:34,280 --> 00:28:34,919 Speaker 3: at this time. 506 00:28:35,280 --> 00:28:38,120 Speaker 1: One other thing, it looks as of now like the 507 00:28:38,160 --> 00:28:41,959 Speaker 1: House Republicans will keep control, which is I think really 508 00:28:41,960 --> 00:28:44,600 Speaker 1: important because I have a hunch the Democrats would have 509 00:28:44,640 --> 00:28:48,160 Speaker 1: moved either to block Trump from being sworn in or 510 00:28:48,200 --> 00:28:50,640 Speaker 1: to impeach him as soon as you're sworn in. What's 511 00:28:50,680 --> 00:28:53,440 Speaker 1: your take on the whole nature of the House races. 512 00:28:53,920 --> 00:28:56,920 Speaker 3: By the way, I shared your view of this where yep, 513 00:28:57,240 --> 00:28:59,520 Speaker 3: if they'd got a majority, they would have done something 514 00:28:59,560 --> 00:29:01,560 Speaker 3: where they were a certified or they would have said 515 00:29:01,560 --> 00:29:05,160 Speaker 3: we were an insurrectionist. They would actively be trying to 516 00:29:05,200 --> 00:29:05,880 Speaker 3: be legitimate. 517 00:29:06,160 --> 00:29:08,880 Speaker 1: That's where the fifty one percent kills him. If he 518 00:29:08,920 --> 00:29:11,880 Speaker 1: had been at forty eight or forty nine. That's one thing. 519 00:29:12,240 --> 00:29:13,880 Speaker 1: When you walk in the door and you're at fifty 520 00:29:13,880 --> 00:29:17,640 Speaker 1: one percent support, it's almost impossible to stop you. 521 00:29:18,160 --> 00:29:21,880 Speaker 3: This time around, we ran more aggressive campaigns. But the 522 00:29:21,920 --> 00:29:24,800 Speaker 3: bad part is we had people sitting in races they'd 523 00:29:24,800 --> 00:29:28,200 Speaker 3: won in the midterm, and the increased turnout was going 524 00:29:28,280 --> 00:29:29,840 Speaker 3: to hurt us. Like two of the incombers that we 525 00:29:29,960 --> 00:29:33,680 Speaker 3: lost was Brandon Williams up in Syracuse, New York, where 526 00:29:33,720 --> 00:29:37,480 Speaker 3: Brandon saw a surge of college voting in his district 527 00:29:37,880 --> 00:29:40,840 Speaker 3: and he lost because you had college students coming out 528 00:29:40,920 --> 00:29:44,440 Speaker 3: voting against Trump vote for Harris. And then you had 529 00:29:44,480 --> 00:29:48,720 Speaker 3: Anthony Diesposito, who'd been elected in a district New York 530 00:29:48,760 --> 00:29:52,080 Speaker 3: four in Nassau County, Biden had won the district by 531 00:29:52,120 --> 00:29:56,400 Speaker 3: sixteen points by the way the Democrats, even though we 532 00:29:56,520 --> 00:30:00,320 Speaker 3: had won the redistrict in lawsuit two years ago twenty 533 00:30:00,360 --> 00:30:05,320 Speaker 3: two and a judge drew the fair competitive districts. They 534 00:30:05,360 --> 00:30:08,800 Speaker 3: came back, rejiggered the Court of Appeals in New York, 535 00:30:08,920 --> 00:30:12,200 Speaker 3: which is the highest court, to get a new redistricting plan, 536 00:30:12,320 --> 00:30:16,320 Speaker 3: to rejigger Anthony's district and Williams's district to put in 537 00:30:16,360 --> 00:30:19,719 Speaker 3: more Democrats there precisely so that they could get an 538 00:30:19,720 --> 00:30:22,680 Speaker 3: outcome and win a close race. And in both those races, 539 00:30:22,720 --> 00:30:26,160 Speaker 3: like Jasposito's district, Biden had won it by sixteen points. 540 00:30:26,760 --> 00:30:30,520 Speaker 3: Trump won it this time, which is amazing. So Nassau 541 00:30:30,640 --> 00:30:34,520 Speaker 3: County and Swazi almost lost his race to somebody that 542 00:30:34,600 --> 00:30:37,680 Speaker 3: nobody targeted. You know, he wasn't given any outside help, 543 00:30:37,840 --> 00:30:42,440 Speaker 3: Michael o'patrick, but there was a huge suburban surch of 544 00:30:42,520 --> 00:30:47,000 Speaker 3: voters where Trump had lost Nassau County by ten points 545 00:30:47,040 --> 00:30:50,800 Speaker 3: in twenty twenty to Biden, and this time around, it 546 00:30:50,840 --> 00:30:54,360 Speaker 3: appears that Trump's won the county by like thirty thousand votes. 547 00:30:54,440 --> 00:30:56,680 Speaker 3: So it's a big turnaround. But Trump was the one 548 00:30:56,680 --> 00:30:59,480 Speaker 3: that was leading the ticket and it was bringing on 549 00:30:59,600 --> 00:31:02,560 Speaker 3: most vote that the Democrats were able to spend more 550 00:31:02,600 --> 00:31:03,880 Speaker 3: than most Republicans. 551 00:31:04,200 --> 00:31:06,520 Speaker 1: John, I want to thank you for joining me. I 552 00:31:06,600 --> 00:31:09,360 Speaker 1: want to say right now. I hope sometime next year. 553 00:31:10,000 --> 00:31:13,320 Speaker 1: We can do this focusing forward on the off year election, 554 00:31:13,400 --> 00:31:16,560 Speaker 1: which I think will be one of the critical turning 555 00:31:16,600 --> 00:31:19,200 Speaker 1: points of whether or not this is a temporary move 556 00:31:19,680 --> 00:31:22,200 Speaker 1: or the beginning of a new governing majority. Just want 557 00:31:22,200 --> 00:31:24,600 Speaker 1: to save the record. It is tremendous to work with 558 00:31:24,640 --> 00:31:26,600 Speaker 1: you and your team. I mean, you guys are so smart, 559 00:31:27,040 --> 00:31:30,640 Speaker 1: you know the country so thoroughly, and you've been so 560 00:31:30,760 --> 00:31:34,120 Speaker 1: innovative and working with jo Disantas and me that I 561 00:31:34,160 --> 00:31:37,840 Speaker 1: look forward to continuing that relationship. It's going to be 562 00:31:37,960 --> 00:31:41,120 Speaker 1: an unbelievable four years ahead. You're going to be right 563 00:31:41,120 --> 00:31:43,480 Speaker 1: in the middle of all of it. And I appreciate 564 00:31:44,320 --> 00:31:47,760 Speaker 1: you sharing with Newtsworld and all of our listeners your 565 00:31:47,840 --> 00:31:50,920 Speaker 1: remarkable knowledge of the country. And I really thank you 566 00:31:50,960 --> 00:31:52,640 Speaker 1: for taking the time to be with me. 567 00:31:53,240 --> 00:31:55,800 Speaker 3: Well, mister speaker, I tell you it's an honor and 568 00:31:55,840 --> 00:31:58,520 Speaker 3: privilege to work for you and to see your strategy 569 00:31:58,800 --> 00:32:03,040 Speaker 3: actually formulate and then go into work with Joonas santis 570 00:32:03,120 --> 00:32:04,920 Speaker 3: As theves a lot of credit. You're very smart. Your 571 00:32:04,920 --> 00:32:07,560 Speaker 3: whole team is very smart. I love the way you 572 00:32:07,560 --> 00:32:10,120 Speaker 3: look at the public opinion and figure out, Okay, if 573 00:32:10,160 --> 00:32:13,480 Speaker 3: we do this, the American people will respond and we 574 00:32:13,480 --> 00:32:15,680 Speaker 3: can take them in the right direction and hopefully make 575 00:32:15,720 --> 00:32:18,480 Speaker 3: people's lives better and do good things for the country. 576 00:32:18,520 --> 00:32:20,760 Speaker 3: So it's an honor and privilege to work for you, 577 00:32:20,800 --> 00:32:22,280 Speaker 3: and it's an honor and privilege to be here. 578 00:32:26,040 --> 00:32:28,960 Speaker 1: Thank you to my guest, John McLaughlin. You can learn 579 00:32:28,960 --> 00:32:32,120 Speaker 1: more about the election outcome on our show page at 580 00:32:32,160 --> 00:32:35,400 Speaker 1: neutworld dot com. Newt World is produced by Ginglish three 581 00:32:35,400 --> 00:32:40,440 Speaker 1: sixty and iHeartMedia. Our executive producer is Guarnsey Sloan. Our 582 00:32:40,520 --> 00:32:44,440 Speaker 1: researcher is Rachel Peterson. The artwork for the show was 583 00:32:44,480 --> 00:32:47,959 Speaker 1: created by Steve Penley. Special thanks to the team at 584 00:32:47,960 --> 00:32:50,960 Speaker 1: Ginglish three sixty. If you've been enjoying news World, I 585 00:32:51,000 --> 00:32:53,719 Speaker 1: hope you'll go to Apple Podcast and both rate us 586 00:32:53,720 --> 00:32:56,760 Speaker 1: with five stars and give us a review so others 587 00:32:56,840 --> 00:32:59,840 Speaker 1: can learn what it's all about. Right now, listeners oft 588 00:33:00,040 --> 00:33:04,080 Speaker 1: World consign up for my three freeweekly columns at gingishree 589 00:33:04,080 --> 00:33:08,200 Speaker 1: sixty dot com slash newsletter. I'm new Gingrish. This is 590 00:33:08,280 --> 00:33:08,800 Speaker 1: nuts World.