1 00:00:01,280 --> 00:00:04,160 Speaker 1: Welcome to the Tutor Dixon Podcast. Today, I have Jim 2 00:00:04,240 --> 00:00:08,560 Speaker 1: McLaughlin with me. He is a nationally recognized public opinion expert, 3 00:00:08,720 --> 00:00:13,440 Speaker 1: strategic consultant, and political strategist, and his work with as 4 00:00:13,560 --> 00:00:18,040 Speaker 1: president and partner at McLaughlin and Associates. Is it You 5 00:00:18,079 --> 00:00:20,360 Speaker 1: guys have been doing great things. You worked with the 6 00:00:20,360 --> 00:00:23,840 Speaker 1: president on his winning campaign. But now we're going into 7 00:00:24,079 --> 00:00:27,760 Speaker 1: the midterms and we are all wondering what's going to happen. 8 00:00:27,800 --> 00:00:29,960 Speaker 1: You have some insight there, Jim. Thank you for joining me. 9 00:00:30,640 --> 00:00:32,360 Speaker 2: Oh, the pleasures all mine, Tutor. 10 00:00:33,120 --> 00:00:36,639 Speaker 1: So tell us what you think I will say in Michigan. 11 00:00:36,760 --> 00:00:39,080 Speaker 1: You asked me before we go on, what the feeling 12 00:00:39,159 --> 00:00:41,920 Speaker 1: is here in Michigan. I think you know, if you're 13 00:00:41,960 --> 00:00:45,479 Speaker 1: looking at our seats, we have some seats that one 14 00:00:45,560 --> 00:00:48,120 Speaker 1: of them, one of our congressional seats. Tom Barrett he 15 00:00:48,280 --> 00:00:53,440 Speaker 1: won in twenty four so he's a new congressman. We 16 00:00:53,520 --> 00:00:56,080 Speaker 1: know that he's a target. He's done great things. I 17 00:00:56,120 --> 00:00:59,000 Speaker 1: will say, He's done some really amazing work. He brought 18 00:00:59,000 --> 00:01:02,279 Speaker 1: a couple back from mex Ago that was pretty much 19 00:01:02,520 --> 00:01:05,119 Speaker 1: in prison and not coming home. So he's done some 20 00:01:05,160 --> 00:01:07,280 Speaker 1: really good things. But I think he's a target. I 21 00:01:07,319 --> 00:01:10,440 Speaker 1: know John James is running for governor. His seat is 22 00:01:10,480 --> 00:01:13,479 Speaker 1: we don't have a candidate there. That's a target. They 23 00:01:13,600 --> 00:01:17,320 Speaker 1: we talk about redistricting. We were redistricted a few years ago. 24 00:01:17,760 --> 00:01:23,160 Speaker 1: Even a Bill Heisinger, his congressional district is becoming bluer 25 00:01:23,520 --> 00:01:27,920 Speaker 1: because of the redistricted redistricted map. So what are you 26 00:01:28,120 --> 00:01:30,680 Speaker 1: seeing for the midterms, because here we're a little nervous. 27 00:01:31,680 --> 00:01:36,840 Speaker 2: And look, I think one of our biggest opponents coming 28 00:01:36,920 --> 00:01:41,880 Speaker 2: up into the midterms is quite honestly, complacency. We can't 29 00:01:41,920 --> 00:01:43,959 Speaker 2: become complacent because. 30 00:01:43,800 --> 00:01:47,319 Speaker 1: You said this happened in twenty eighteen, and I totally 31 00:01:47,319 --> 00:01:51,520 Speaker 1: agree with you. I will say, when you talk about complacency, 32 00:01:51,560 --> 00:01:54,080 Speaker 1: we felt. I think you can correct me if I'm wrong. 33 00:01:54,200 --> 00:01:56,560 Speaker 1: We felt in twenty sixteen, Oh my gosh, we ran 34 00:01:56,600 --> 00:01:59,440 Speaker 1: away with it. People love us and the Democrats are 35 00:01:59,720 --> 00:02:03,120 Speaker 1: very strategic. We are less strategic. We are more like 36 00:02:03,160 --> 00:02:05,800 Speaker 1: we say, it's not about feelings, but we make a 37 00:02:05,840 --> 00:02:07,320 Speaker 1: good feelings argument too. 38 00:02:08,000 --> 00:02:13,040 Speaker 2: Yeah, and what happened, and the economy was getting a 39 00:02:13,040 --> 00:02:17,800 Speaker 2: lot better in twenty eighteen, President Trump, peace was breaking 40 00:02:17,840 --> 00:02:20,440 Speaker 2: out throughout the world, you know, similar to what we're 41 00:02:20,440 --> 00:02:24,680 Speaker 2: seeing right now. But we understand when you look at 42 00:02:24,720 --> 00:02:28,600 Speaker 2: it during that first term when the party in power, 43 00:02:28,760 --> 00:02:32,600 Speaker 2: which you know, technically we control everything in Washington, d C. 44 00:02:33,160 --> 00:02:36,280 Speaker 2: But we all know how tight the margins are, and 45 00:02:36,440 --> 00:02:40,840 Speaker 2: look all that good stuff the President Trump is able 46 00:02:40,919 --> 00:02:44,000 Speaker 2: to do right now with a Republican Congress and a 47 00:02:44,040 --> 00:02:48,640 Speaker 2: Republican US Senate. That goes away. And I remember during 48 00:02:48,720 --> 00:02:52,360 Speaker 2: President Trump's first term there were some people in the 49 00:02:52,360 --> 00:02:54,760 Speaker 2: White House that were saying, am won't be that bad 50 00:02:54,800 --> 00:02:58,520 Speaker 2: of a thing if the Republicans lose, you know, the 51 00:02:58,600 --> 00:03:02,320 Speaker 2: House or the Senate, God bid come the midterms, because 52 00:03:02,360 --> 00:03:05,520 Speaker 2: we can do what Bill Clinton did and we can triangulate. 53 00:03:05,960 --> 00:03:10,359 Speaker 2: But what happened when you know, the Republicans gained control 54 00:03:10,560 --> 00:03:13,480 Speaker 2: in the House and the Senate after the ninety four 55 00:03:13,560 --> 00:03:16,320 Speaker 2: elections and Bill Clinton was forced to triangulate because he 56 00:03:16,360 --> 00:03:19,360 Speaker 2: wanted to get reelected again is nuke gingrich. And the 57 00:03:19,400 --> 00:03:23,880 Speaker 2: Republicans worked with him. They compromised on things like tax relief, 58 00:03:24,000 --> 00:03:27,639 Speaker 2: on things like a crime bill, on things like welfare reform. 59 00:03:28,120 --> 00:03:31,280 Speaker 2: The Democrats don't do that, and the Democrats are a 60 00:03:31,320 --> 00:03:35,320 Speaker 2: bunch of extremists. We all saw what happened when the 61 00:03:35,400 --> 00:03:39,040 Speaker 2: Democrats were in charge of Congress, we saw what happened 62 00:03:39,040 --> 00:03:41,760 Speaker 2: with impeachment. The way they look at it, they're going 63 00:03:41,840 --> 00:03:44,600 Speaker 2: to pull out all the stops and they're going to 64 00:03:44,720 --> 00:03:47,520 Speaker 2: try to get control of the House and the Senate 65 00:03:48,240 --> 00:03:50,320 Speaker 2: during the mid terms because they look at it, it 66 00:03:50,440 --> 00:03:53,360 Speaker 2: cuts Donald Trump's presidency in half. And a big key 67 00:03:53,440 --> 00:03:56,480 Speaker 2: to that, big key to that is one of the 68 00:03:56,520 --> 00:03:58,960 Speaker 2: reasons why we didn't do as well in twenty eighteen 69 00:03:59,480 --> 00:04:02,840 Speaker 2: that we did obviously in twenty sixteen, and then obviously 70 00:04:02,920 --> 00:04:05,640 Speaker 2: what we did in twenty twenty four was a lot 71 00:04:05,680 --> 00:04:09,000 Speaker 2: of Trump voters did not come out to vote in 72 00:04:09,040 --> 00:04:11,360 Speaker 2: those twenty eighteen midterms. And one of the reasons why 73 00:04:11,440 --> 00:04:15,120 Speaker 2: we underperformed in the twenty two midterms was again because 74 00:04:15,160 --> 00:04:17,240 Speaker 2: a lot of Trump voters that are only coming out 75 00:04:17,279 --> 00:04:21,120 Speaker 2: for Donald Trump during presidential years are not coming out 76 00:04:21,160 --> 00:04:25,080 Speaker 2: for the Republicans during these midterm elections. We've got to 77 00:04:25,120 --> 00:04:29,080 Speaker 2: give those reasons real reasons, give those voters real reasons 78 00:04:29,080 --> 00:04:30,640 Speaker 2: to turn out during the midterms. 79 00:04:30,960 --> 00:04:33,359 Speaker 1: Well, I do think that's been a problem. I also 80 00:04:33,560 --> 00:04:36,440 Speaker 1: think that we are dealing with a much different Democrat 81 00:04:36,480 --> 00:04:40,000 Speaker 1: party as you're talking about. I mean, you talk about 82 00:04:40,040 --> 00:04:42,680 Speaker 1: the investigations and impeachment and all of that. But I 83 00:04:42,880 --> 00:04:46,839 Speaker 1: even just the attitude toward President Trump. I mean Nancy 84 00:04:46,839 --> 00:04:49,640 Speaker 1: Pelosi ripping up the speech on the floor during the 85 00:04:50,440 --> 00:04:53,400 Speaker 1: State of the Union. All of these little motions have 86 00:04:53,520 --> 00:04:57,599 Speaker 1: moved toward a party that runs simply against one person. 87 00:04:57,640 --> 00:05:00,640 Speaker 1: I mean, they absolutely hate him. Before we got on, 88 00:05:00,680 --> 00:05:03,120 Speaker 1: you started talking about the difference in the party and 89 00:05:03,200 --> 00:05:06,320 Speaker 1: AOC getting elected in that shift, and we are seeing 90 00:05:06,360 --> 00:05:10,000 Speaker 1: that shift really impact them today. I think it. I 91 00:05:10,040 --> 00:05:13,120 Speaker 1: think this shift hurt Kamala Harris. But it takes a 92 00:05:13,120 --> 00:05:16,400 Speaker 1: few cycles. This is my thought process, but you can 93 00:05:16,480 --> 00:05:18,640 Speaker 1: also correct me if I'm wrong. It takes a few 94 00:05:18,640 --> 00:05:21,919 Speaker 1: cycles of losing on certain issues before you can convince 95 00:05:22,040 --> 00:05:25,120 Speaker 1: enough people. And they're moving the younger generation toward this 96 00:05:25,279 --> 00:05:26,480 Speaker 1: radical progressivism. 97 00:05:27,240 --> 00:05:31,160 Speaker 2: Yeah, and think back, you know, right after election day, 98 00:05:31,200 --> 00:05:33,720 Speaker 2: I don't know, it lasted maybe about twenty four hours, 99 00:05:33,720 --> 00:05:39,000 Speaker 2: maybe forty eight hours, the Democrats were basically saying, yeah, 100 00:05:39,040 --> 00:05:41,599 Speaker 2: we did go too far to the left, we went 101 00:05:41,680 --> 00:05:45,920 Speaker 2: to extreme. And I tell people, look, these the current 102 00:05:46,440 --> 00:05:52,440 Speaker 2: Democratic Party, they are not traditional old fashioned liberals. Cause 103 00:05:52,520 --> 00:05:55,240 Speaker 2: you think back, you know, somebody like you know, when 104 00:05:55,680 --> 00:05:59,039 Speaker 2: even when Barack Obama first ran, he said, if you 105 00:05:59,080 --> 00:06:01,320 Speaker 2: were making less than four one hundred thousand dollars a year, 106 00:06:01,360 --> 00:06:03,240 Speaker 2: he wasn't going to raise your taxes. You know, he 107 00:06:03,320 --> 00:06:07,359 Speaker 2: didn't do all the crazy left wing stuff. Think about 108 00:06:07,440 --> 00:06:12,400 Speaker 2: what this current Democratic Party stands for. They wanted open borders, 109 00:06:12,520 --> 00:06:16,760 Speaker 2: they supported all this stuff. They supported the law fair 110 00:06:16,880 --> 00:06:19,599 Speaker 2: against Donald Trump. And think about what they did to 111 00:06:19,720 --> 00:06:23,719 Speaker 2: Donald Trump. They did the impeachments. You know, they tried 112 00:06:23,760 --> 00:06:25,880 Speaker 2: to literally put him in jail. And you know what 113 00:06:25,960 --> 00:06:29,320 Speaker 2: a lot of people have forgotten. They during the election, 114 00:06:29,480 --> 00:06:33,400 Speaker 2: during the Republican primary, they tried to get Donald Trump 115 00:06:33,440 --> 00:06:38,120 Speaker 2: thrown off ballots, off the ballot in places like Maine 116 00:06:38,200 --> 00:06:42,360 Speaker 2: and Colorado. Thankfully, the Supreme Court, even the Democratic members 117 00:06:42,400 --> 00:06:44,680 Speaker 2: stepped up and that was a bridge too far for 118 00:06:44,760 --> 00:06:48,240 Speaker 2: even them. They want illegals to be able to vote 119 00:06:48,240 --> 00:06:51,960 Speaker 2: in our elections. They did all that crazy spending during 120 00:06:52,000 --> 00:06:55,320 Speaker 2: the Biden years, which we're still trying to recover from 121 00:06:55,760 --> 00:07:00,360 Speaker 2: state like Michigan where you're from, Tutor, Michigan got married 122 00:07:00,760 --> 00:07:05,479 Speaker 2: by Joe Biden's economic policies. It totally hollowed out, you know, 123 00:07:05,600 --> 00:07:07,680 Speaker 2: the auto industry. I had a brother who was a 124 00:07:07,800 --> 00:07:11,120 Speaker 2: UAW member, so I know how bad it's been. Those 125 00:07:11,200 --> 00:07:13,200 Speaker 2: are the stakes that are on the line, and I 126 00:07:13,240 --> 00:07:16,080 Speaker 2: tell people, there's no question about it. Twenty twenty four. 127 00:07:16,120 --> 00:07:18,240 Speaker 2: I've been doing this stuff for over forty years. Yes, 128 00:07:18,280 --> 00:07:24,000 Speaker 2: I am that old. And where's twenty twenty four was 129 00:07:24,040 --> 00:07:27,120 Speaker 2: the most important election in my lifetime. Twenty twenty six 130 00:07:27,280 --> 00:07:32,680 Speaker 2: is again because we can't reward the Democrats for their 131 00:07:32,720 --> 00:07:36,440 Speaker 2: failures and their extremism. And if you don't think they're extreme, 132 00:07:36,480 --> 00:07:39,840 Speaker 2: and if you don't think they're failures, point out one 133 00:07:40,400 --> 00:07:42,840 Speaker 2: well run democratic state in the country. 134 00:07:43,080 --> 00:07:46,560 Speaker 1: Well, I know, I mean Michigan. The auto industry has 135 00:07:46,600 --> 00:07:49,720 Speaker 1: been decimated, but also now they're trying to recover. And 136 00:07:49,760 --> 00:07:52,000 Speaker 1: it's interesting. I was talking to my mom about this 137 00:07:52,000 --> 00:07:53,840 Speaker 1: the other day, and she was looking at what car 138 00:07:53,920 --> 00:07:56,720 Speaker 1: to buy next, and they still have these electric vehicles. 139 00:07:56,760 --> 00:08:01,200 Speaker 1: They're all now leaning toward gas vehicles. It's so bizarre 140 00:08:01,240 --> 00:08:05,760 Speaker 1: to me. There's nothing clear that the Obama administration or 141 00:08:05,840 --> 00:08:10,040 Speaker 1: the Biden administration was a disaster because they went in 142 00:08:10,120 --> 00:08:13,240 Speaker 1: and they said, you can no longer produce this. Capitalism 143 00:08:13,280 --> 00:08:15,200 Speaker 1: is dead, you can no longer produce this. You have 144 00:08:15,240 --> 00:08:18,640 Speaker 1: to produce this. No one purchased it. There were billions 145 00:08:18,680 --> 00:08:22,000 Speaker 1: of dollars lost in this industry, and they acted. The 146 00:08:22,440 --> 00:08:25,000 Speaker 1: auto industry acted like, yes, we're totally on board with 147 00:08:25,040 --> 00:08:28,600 Speaker 1: electric vehicles. The minute they had the out, they took it. 148 00:08:29,920 --> 00:08:32,760 Speaker 2: You're right because it was banned for business. And I 149 00:08:32,840 --> 00:08:36,679 Speaker 2: think back and look, Republicans weren't perfect on this stuff 150 00:08:36,679 --> 00:08:41,400 Speaker 2: for a long time. Look, John McCain was an American hero. 151 00:08:42,040 --> 00:08:45,000 Speaker 2: But one of the things that John McCain said, I 152 00:08:45,000 --> 00:08:47,280 Speaker 2: thought that was really out of touch. Remember when he 153 00:08:47,400 --> 00:08:50,040 Speaker 2: was given that speech back in the day where he said, 154 00:08:50,080 --> 00:08:55,079 Speaker 2: you know, these manufacturing jobs are never coming back to Michigan. 155 00:08:55,760 --> 00:09:00,839 Speaker 2: Donald Trump totally changed the dynamic on Trump said, no, 156 00:09:01,559 --> 00:09:05,360 Speaker 2: we're going to start making stuff, especially in places like 157 00:09:05,440 --> 00:09:10,000 Speaker 2: Michigan again because he knows that's what's going to bring 158 00:09:10,040 --> 00:09:13,079 Speaker 2: the economy back. So, and the main reason why do 159 00:09:13,160 --> 00:09:16,320 Speaker 2: they send stuff overseas They send it because it's too 160 00:09:16,400 --> 00:09:20,040 Speaker 2: expensive to do business here. So what Donald Trump is doing, 161 00:09:20,080 --> 00:09:24,800 Speaker 2: whether it's energy independence, whether it's deregulation, whether it's lowering 162 00:09:24,880 --> 00:09:29,520 Speaker 2: taxes and given businesses manufacturing tax cuts, and he's using 163 00:09:29,559 --> 00:09:33,280 Speaker 2: the tariffs to negotiate basically saying, you know what, if 164 00:09:33,320 --> 00:09:35,560 Speaker 2: you don't make it here, it's not going to be 165 00:09:35,600 --> 00:09:38,560 Speaker 2: in your best interest to hear it. What better way 166 00:09:38,720 --> 00:09:42,320 Speaker 2: is there for to help the middle class, help the 167 00:09:42,480 --> 00:09:46,240 Speaker 2: union workers those you know, and help the working folks 168 00:09:46,280 --> 00:09:49,120 Speaker 2: that are working. So these are the kind of policies 169 00:09:49,120 --> 00:09:53,160 Speaker 2: that in places like Michigan the other battleground states where 170 00:09:53,200 --> 00:09:57,800 Speaker 2: Donald Trump is resonated. But just as you said, we 171 00:09:57,920 --> 00:10:00,439 Speaker 2: got to keep getting that message out there, how our 172 00:10:00,520 --> 00:10:02,000 Speaker 2: policies are better than theirs. 173 00:10:02,400 --> 00:10:05,240 Speaker 1: So you make a good point about John McCain, because 174 00:10:05,280 --> 00:10:08,720 Speaker 1: I think that sometimes politicians don't understand that their words 175 00:10:08,760 --> 00:10:13,000 Speaker 1: hold so much power. Just as the Biden administration forced 176 00:10:13,040 --> 00:10:18,080 Speaker 1: manufacturers into electric vehicles making that comment. I'm a manufacturer. 177 00:10:18,120 --> 00:10:21,440 Speaker 1: You know our company closed down in twenty thirteen after 178 00:10:21,640 --> 00:10:24,360 Speaker 1: comments like that were made. And what happened. I can 179 00:10:24,400 --> 00:10:27,880 Speaker 1: tell you we had so much pressure from the state 180 00:10:27,880 --> 00:10:30,640 Speaker 1: of Michigan here. But at the same time as having 181 00:10:30,720 --> 00:10:35,960 Speaker 1: all this overregulation. Because the United States Blues states, highly 182 00:10:36,040 --> 00:10:41,080 Speaker 1: manufacturing states, they have become so overregulated they have tried 183 00:10:41,120 --> 00:10:43,960 Speaker 1: to crush manufacturing. But then you have comments like that, 184 00:10:44,280 --> 00:10:48,760 Speaker 1: and one after one, it gave our biggest customers the 185 00:10:49,320 --> 00:10:52,640 Speaker 1: idea that no longer do we have to do so 186 00:10:52,760 --> 00:10:55,080 Speaker 1: a certain America buy. It used to be like, okay, 187 00:10:55,120 --> 00:10:58,320 Speaker 1: you've got to be ninety percent America by and now 188 00:10:58,640 --> 00:11:01,679 Speaker 1: it's not. You know. So then they started taking their 189 00:11:01,679 --> 00:11:05,680 Speaker 1: products to China. They would buy captive foundries in China. Well, 190 00:11:05,760 --> 00:11:08,040 Speaker 1: you're only going to do work for Caterpillar, You're only 191 00:11:08,080 --> 00:11:10,360 Speaker 1: going to do work for Peterbilt. You know, these this 192 00:11:10,440 --> 00:11:13,600 Speaker 1: would and this was like, hey, this is the future 193 00:11:13,960 --> 00:11:15,959 Speaker 1: that should never have been the future, but that was 194 00:11:16,000 --> 00:11:18,520 Speaker 1: a future told by Republicans in many. 195 00:11:18,360 --> 00:11:21,760 Speaker 2: Cases, You're exactly right. We were the leaders on that. 196 00:11:22,600 --> 00:11:25,880 Speaker 2: You think about it. You know, back in the day, 197 00:11:25,960 --> 00:11:29,200 Speaker 2: we were free free, free, free trade. But you know what, 198 00:11:29,520 --> 00:11:33,280 Speaker 2: the voters figured it out way before the politicians did, 199 00:11:33,840 --> 00:11:37,400 Speaker 2: and they said, no, we're all for trade. Donald Donald 200 00:11:37,480 --> 00:11:43,720 Speaker 2: Trump is once trade. He's an international businessman. Nobody understands 201 00:11:43,800 --> 00:11:48,320 Speaker 2: how global, how international and the economy has come than 202 00:11:48,400 --> 00:11:52,520 Speaker 2: Donald Trump. But with Donald Trump also understands is that 203 00:11:52,640 --> 00:11:55,880 Speaker 2: we have to compete in that economy. And what he's 204 00:11:55,920 --> 00:11:59,760 Speaker 2: doing is he's making sure the playing field is more 205 00:12:00,640 --> 00:12:03,680 Speaker 2: and it's more balanced again. And what he doesn't get 206 00:12:03,679 --> 00:12:07,920 Speaker 2: credit for is how he's not only using tariffs, how 207 00:12:07,960 --> 00:12:12,600 Speaker 2: he's using you know, economic sanctions and whatnot. He's using 208 00:12:12,640 --> 00:12:15,360 Speaker 2: it not just to benefit our economy, not just to 209 00:12:15,400 --> 00:12:19,880 Speaker 2: benefit American businesses and more importantly, American workers, but he's 210 00:12:19,920 --> 00:12:22,600 Speaker 2: doing it to keep the world safer. I mean, one 211 00:12:22,600 --> 00:12:26,840 Speaker 2: of the reasons why today that Vladimir Putin has been 212 00:12:27,000 --> 00:12:30,520 Speaker 2: forced to come to the table is because Donald Trump 213 00:12:30,559 --> 00:12:34,240 Speaker 2: put additional economic sanctions on him. That quite frankly, if 214 00:12:34,320 --> 00:12:37,160 Speaker 2: Joe Biden really cared about he would have put those 215 00:12:37,200 --> 00:12:41,079 Speaker 2: sanctions on Vladimir Putin. So it's I mean, it's really 216 00:12:41,120 --> 00:12:45,160 Speaker 2: pretty amazing what you know, Donald Trump has been able 217 00:12:45,200 --> 00:12:49,280 Speaker 2: to do in terms of peace and prosperity by using 218 00:12:49,400 --> 00:12:52,080 Speaker 2: economic policies to get people to the table. 219 00:12:52,400 --> 00:12:55,160 Speaker 1: Let's take a quick commercial break. We'll continue next on 220 00:12:55,200 --> 00:13:01,760 Speaker 1: a Tutor Dixon podcast. You made the point earlier that 221 00:13:01,920 --> 00:13:06,000 Speaker 1: AOC has taken the Democrat Party in a different direction, 222 00:13:06,120 --> 00:13:11,280 Speaker 1: but you also mentioned that the Obama Biden administration was 223 00:13:11,600 --> 00:13:16,400 Speaker 1: very much in favor of strong borders. Democrats had always 224 00:13:16,440 --> 00:13:19,920 Speaker 1: been in favor of strong borders. There was this movement, 225 00:13:20,280 --> 00:13:25,000 Speaker 1: I think it came from the progressive left of it's loving, 226 00:13:25,080 --> 00:13:29,280 Speaker 1: it's caring to have these open borders. But where where 227 00:13:29,280 --> 00:13:31,959 Speaker 1: did the depths of that argument come from because it 228 00:13:32,360 --> 00:13:34,640 Speaker 1: is very dangerous to have open borders. I mean, there's 229 00:13:34,640 --> 00:13:39,000 Speaker 1: no question, it's not even debatable. It's extremely dangerous. There 230 00:13:39,040 --> 00:13:41,400 Speaker 1: should be if you want people to come in. It's 231 00:13:41,400 --> 00:13:44,840 Speaker 1: not no immigration, it's no illegal immigration. How did we 232 00:13:44,840 --> 00:13:47,360 Speaker 1: get to the point where we have to fight this issue? 233 00:13:47,679 --> 00:13:49,840 Speaker 1: But Obama was four strong borders. 234 00:13:50,800 --> 00:13:56,319 Speaker 2: Everybody was, and everybody is except for the Democratic politicians 235 00:13:56,320 --> 00:13:59,400 Speaker 2: in power. And the reason why it got I remember 236 00:13:59,440 --> 00:14:05,160 Speaker 2: the first time somebody told me that George Soros crowd 237 00:14:05,360 --> 00:14:08,600 Speaker 2: once open borders. I remember thinking this is ridiculous. Somebody 238 00:14:08,600 --> 00:14:11,520 Speaker 2: told me this like fifteen twenty years ago, whenever the 239 00:14:11,559 --> 00:14:14,000 Speaker 2: heck it was, and I thought, you know, that was 240 00:14:14,080 --> 00:14:17,200 Speaker 2: kind of core. And it was a Union political director 241 00:14:17,280 --> 00:14:19,600 Speaker 2: that told me this, and he's like, was a sane 242 00:14:19,600 --> 00:14:23,520 Speaker 2: Clinton Liberal. But the reason they're doing is for power. 243 00:14:24,160 --> 00:14:26,720 Speaker 2: They the whole idea was. They look at it. They 244 00:14:26,840 --> 00:14:31,840 Speaker 2: remember Ronald Reagan came from California. California was the state 245 00:14:31,880 --> 00:14:34,320 Speaker 2: that gave us Ronald Reagan, gave us Richard Nixon. They 246 00:14:34,400 --> 00:14:37,040 Speaker 2: used to like Republicans, they used to vote for Republicans. 247 00:14:37,080 --> 00:14:40,320 Speaker 2: I worked for Arnold Schwarzenegger when he was the governor 248 00:14:40,360 --> 00:14:43,160 Speaker 2: of California. They look at it and said, okay, we 249 00:14:43,240 --> 00:14:48,560 Speaker 2: opened the borders. We turned California into a overwhelmingly democratic 250 00:14:48,600 --> 00:14:50,480 Speaker 2: blue state. Now they want to do that to the 251 00:14:50,520 --> 00:14:54,840 Speaker 2: rest of the country, especially in a place like Texas. 252 00:14:55,200 --> 00:14:59,720 Speaker 2: And with the Democrats, it's all about power, and these 253 00:15:00,160 --> 00:15:04,400 Speaker 2: open border policies were just quite frankly insane. Remember it 254 00:15:04,480 --> 00:15:07,800 Speaker 2: was about it was last summer. They were telling us that, 255 00:15:08,320 --> 00:15:11,680 Speaker 2: you know what, we need comprehensive immigration reform. That's why 256 00:15:11,920 --> 00:15:14,360 Speaker 2: Joe Biden can't fix the boarder. And remember they were 257 00:15:14,360 --> 00:15:17,520 Speaker 2: telling us with a straight face that the border was secure. 258 00:15:18,280 --> 00:15:22,960 Speaker 2: Donald Trump within days of getting in office, he basically 259 00:15:23,160 --> 00:15:26,720 Speaker 2: solved the immigration problem, or he secured the border. There's 260 00:15:26,760 --> 00:15:29,920 Speaker 2: still a lot of bad ombres, as they say, got 261 00:15:29,920 --> 00:15:32,120 Speaker 2: in here, so we've still got a lot of work 262 00:15:32,160 --> 00:15:34,640 Speaker 2: to do when it comes through the border. But it's 263 00:15:34,680 --> 00:15:37,920 Speaker 2: an economic issue and it's obviously a safety issue. But 264 00:15:38,040 --> 00:15:41,680 Speaker 2: the Democrats did what they did. It was just pure power. 265 00:15:41,720 --> 00:15:43,440 Speaker 2: And they used to tell you if you said that 266 00:15:43,560 --> 00:15:46,000 Speaker 2: as a Republican or you said that as a Conservative, 267 00:15:46,280 --> 00:15:51,160 Speaker 2: that you were a racist. Now we're all for legal immigration. 268 00:15:51,680 --> 00:15:56,760 Speaker 2: We're all the sons and daughters of immigrants, but they 269 00:15:56,760 --> 00:15:59,160 Speaker 2: did it legally, and we have to have a process 270 00:15:59,200 --> 00:16:00,000 Speaker 2: where you do it legal. 271 00:16:00,520 --> 00:16:04,400 Speaker 1: But that has been I mean, the racism argument is powerful, 272 00:16:04,440 --> 00:16:06,920 Speaker 1: and I think it's incredibly powerful in the minds of 273 00:16:07,000 --> 00:16:09,560 Speaker 1: young people. And I have so many people from my 274 00:16:09,680 --> 00:16:12,600 Speaker 1: generation who say, gosh, we really felt like we were 275 00:16:12,640 --> 00:16:15,080 Speaker 1: coming together as a nation when we were young, Like, 276 00:16:15,120 --> 00:16:17,560 Speaker 1: we never saw that. And I grew up in the 277 00:16:17,560 --> 00:16:20,120 Speaker 1: suburbs of Chicago, So maybe I just grew up in 278 00:16:20,120 --> 00:16:24,120 Speaker 1: an area where you didn't really think about people's race. 279 00:16:24,200 --> 00:16:28,480 Speaker 1: We had our high school was very diverse, and and 280 00:16:28,560 --> 00:16:31,440 Speaker 1: maybe it's different in smaller areas. I don't know. But 281 00:16:32,360 --> 00:16:35,280 Speaker 1: now it seems like there is this radical push to 282 00:16:35,800 --> 00:16:37,880 Speaker 1: like are you do you fit into this category? Do 283 00:16:37,920 --> 00:16:40,120 Speaker 1: you fit into this category? And it feels to me 284 00:16:40,560 --> 00:16:43,960 Speaker 1: like it's coming from the left. I mean, I know 285 00:16:44,040 --> 00:16:47,760 Speaker 1: that there are far right groups, but there seems to 286 00:16:47,800 --> 00:16:51,200 Speaker 1: be still that group in the middle on both sides, 287 00:16:51,200 --> 00:16:54,880 Speaker 1: and I mean middle to center right, middle to center left, 288 00:16:55,200 --> 00:16:57,720 Speaker 1: where people are going, we don't want to be this way. 289 00:16:58,040 --> 00:17:02,560 Speaker 2: Yeah, and look that's where the majority of Americans are. 290 00:17:03,280 --> 00:17:09,440 Speaker 2: But the Democrats and especially this radical left, they're using 291 00:17:09,960 --> 00:17:15,400 Speaker 2: race they're using gender, they're using you know, LGBTQ issues, 292 00:17:15,440 --> 00:17:18,359 Speaker 2: they're using that to try to get in power and 293 00:17:18,480 --> 00:17:22,040 Speaker 2: stay in power. I mean, quite honestly, in many cases, 294 00:17:22,560 --> 00:17:25,720 Speaker 2: what the left does is they use or There is 295 00:17:25,840 --> 00:17:31,920 Speaker 2: no more diverse country in America than us, and we've 296 00:17:31,960 --> 00:17:34,159 Speaker 2: got to push back on it. And that's one of 297 00:17:34,160 --> 00:17:36,960 Speaker 2: the great things about Donald Trump is nobody has done 298 00:17:37,040 --> 00:17:39,960 Speaker 2: more to push back on it than him. And look, 299 00:17:40,040 --> 00:17:42,760 Speaker 2: I was saying this before the election because I was 300 00:17:42,800 --> 00:17:47,560 Speaker 2: seeing surveys every single day. You know, we're obviously doing 301 00:17:47,880 --> 00:17:51,640 Speaker 2: President Trump's polling in the battleground states along with our 302 00:17:51,720 --> 00:17:57,040 Speaker 2: partner Tony Fabrizio on that stuff. And I told people, 303 00:17:57,040 --> 00:18:00,320 Speaker 2: I said, look, I said, if we win these elections, 304 00:18:00,480 --> 00:18:04,320 Speaker 2: it's because of black people and brown people. And that's 305 00:18:04,359 --> 00:18:07,600 Speaker 2: what happened. If Donald Trump and the Republicans did not 306 00:18:07,840 --> 00:18:11,440 Speaker 2: get a record percentage of Hispanic votes and a record 307 00:18:11,480 --> 00:18:15,440 Speaker 2: percentage of black voters, we would not have won these elections. 308 00:18:15,840 --> 00:18:19,720 Speaker 2: And I give especially Hispanics. I can't tell you how 309 00:18:19,760 --> 00:18:23,159 Speaker 2: many times in focus groups Hispanic voters would tell us 310 00:18:23,240 --> 00:18:28,240 Speaker 2: things like, you know, Nancy Pelosi, Joe Biden, they sound 311 00:18:28,400 --> 00:18:32,200 Speaker 2: like the Marxist dictatorships they left. They would literally tell 312 00:18:32,200 --> 00:18:36,359 Speaker 2: you that they sounded like the Castros, they sounded like Maduro, 313 00:18:36,520 --> 00:18:40,560 Speaker 2: they sounded like Chavez or Tega, etc. And they would 314 00:18:40,680 --> 00:18:43,240 Speaker 2: then they would follow up and say they use race, 315 00:18:43,720 --> 00:18:47,520 Speaker 2: they used class warfare to stay in power. These folks 316 00:18:47,640 --> 00:18:49,800 Speaker 2: just come to this country and want to work their 317 00:18:49,840 --> 00:18:51,840 Speaker 2: head off. And one of the lines we'd hear all 318 00:18:51,880 --> 00:18:55,320 Speaker 2: the time they came here for the American dream, and 319 00:18:55,400 --> 00:18:57,520 Speaker 2: we have to continue to fight for that dream. 320 00:18:57,840 --> 00:18:59,600 Speaker 1: Well, and you know, you just reminded me. When I 321 00:18:59,680 --> 00:19:02,720 Speaker 1: was k and painting and we were campaigning through the 322 00:19:02,760 --> 00:19:06,600 Speaker 1: Detroit area, there were all many of the big construction 323 00:19:06,760 --> 00:19:10,480 Speaker 1: road construction companies are in Detroit, right, so, and obviously 324 00:19:10,520 --> 00:19:13,520 Speaker 1: the whole campaign of Whitmer was going to fix the roads. 325 00:19:14,040 --> 00:19:16,479 Speaker 1: And when we started talking to people over in Detroit, 326 00:19:16,520 --> 00:19:20,719 Speaker 1: they said she came into the black community, went to 327 00:19:21,040 --> 00:19:25,080 Speaker 1: black owned construction companies and said we are going to 328 00:19:25,240 --> 00:19:28,320 Speaker 1: increase the number of contracts that go to black owned 329 00:19:28,359 --> 00:19:31,560 Speaker 1: construction companies. So when we fix the roads, it's going 330 00:19:31,640 --> 00:19:36,680 Speaker 1: to go to black owned businesses and African American owned businesses. 331 00:19:36,960 --> 00:19:40,840 Speaker 1: And they didn't get any and here we are in 332 00:19:40,880 --> 00:19:46,960 Speaker 1: her second term and the number of minority owned businesses, 333 00:19:47,880 --> 00:19:52,600 Speaker 1: minority owned road construction businesses, the percentage that has business 334 00:19:52,720 --> 00:19:55,119 Speaker 1: right now from the state is the same as it 335 00:19:55,320 --> 00:19:59,359 Speaker 1: was before she took office. And yet they voted because 336 00:19:59,400 --> 00:20:03,680 Speaker 1: they believed that their communities would be would rise up 337 00:20:03,760 --> 00:20:06,200 Speaker 1: because they would have more income from the state. 338 00:20:06,440 --> 00:20:10,119 Speaker 2: It's a lie, yeah, oh, no question about it. And 339 00:20:10,720 --> 00:20:13,919 Speaker 2: we would hear that, especially when it came to the 340 00:20:13,960 --> 00:20:19,000 Speaker 2: issue of immigration. We'd hear it from black voters where 341 00:20:19,040 --> 00:20:21,960 Speaker 2: they'd say, what about us, you know, why are they 342 00:20:22,000 --> 00:20:25,480 Speaker 2: taking resources away from our communities, whether it was yes, 343 00:20:25,640 --> 00:20:28,879 Speaker 2: where there was healthcare or law enforcement, and they're giving 344 00:20:28,960 --> 00:20:32,919 Speaker 2: it to folks that have come into the country illegally 345 00:20:33,080 --> 00:20:36,240 Speaker 2: and broken our laws. I'll tell you, especially black men. 346 00:20:36,800 --> 00:20:39,840 Speaker 2: Black men saw that they felt like they were being 347 00:20:39,920 --> 00:20:42,960 Speaker 2: left behind. That's why when you saw like a Donald 348 00:20:43,000 --> 00:20:47,480 Speaker 2: Trump go into the barbershop and talk to those folks. 349 00:20:47,720 --> 00:20:51,040 Speaker 2: And by the way, that's the difference between a Donald 350 00:20:51,080 --> 00:20:56,680 Speaker 2: Trump and a Tutor Dixon and Gretchen Whitmer. Donald Trump 351 00:20:56,760 --> 00:21:01,000 Speaker 2: and Tutor Dixon can go into that barbershop, black neighborhood 352 00:21:01,240 --> 00:21:03,760 Speaker 2: and talk to those folks and connect and relate to 353 00:21:03,800 --> 00:21:06,920 Speaker 2: those folks. The Gratua Witmers of the world. They can't 354 00:21:06,920 --> 00:21:10,520 Speaker 2: do that, and they make a ton of promises, and 355 00:21:10,560 --> 00:21:14,000 Speaker 2: whenever the government, I can't help but think of Mamdani 356 00:21:14,119 --> 00:21:15,760 Speaker 2: in New York City. You know, I'm going to give 357 00:21:15,760 --> 00:21:18,280 Speaker 2: you free groceries, free brush rides, and I'm going to 358 00:21:18,280 --> 00:21:20,160 Speaker 2: get rid of your police and all this other kind 359 00:21:20,160 --> 00:21:23,159 Speaker 2: of nonsense. Whenever the government tells you they're going to 360 00:21:23,160 --> 00:21:25,960 Speaker 2: give you something free, that's when things start to get 361 00:21:26,000 --> 00:21:29,199 Speaker 2: really expensive. And just look at the example. What are 362 00:21:29,240 --> 00:21:32,280 Speaker 2: the three most important, the three most expensive things in 363 00:21:32,320 --> 00:21:37,400 Speaker 2: your life? Housing, healthcare, college education? What is the government 364 00:21:37,840 --> 00:21:43,119 Speaker 2: heavily into What are they heavily subsidized housing, healthcare, and 365 00:21:43,119 --> 00:21:45,960 Speaker 2: your college education? And that's why prices have gone through 366 00:21:46,000 --> 00:21:46,359 Speaker 2: the roof. 367 00:21:47,359 --> 00:21:49,399 Speaker 1: Well, you know, there's also a different level of caring 368 00:21:49,560 --> 00:21:53,159 Speaker 1: about I think that people have caught on that the 369 00:21:53,240 --> 00:21:55,520 Speaker 1: Democrats have said, oh, we're going to take care of 370 00:21:55,560 --> 00:21:57,640 Speaker 1: this community in that community, and then they get into 371 00:21:57,680 --> 00:22:00,280 Speaker 1: power and they turn their back. And I think there's 372 00:22:00,320 --> 00:22:04,400 Speaker 1: nothing clearer than last summer. We had this terrible shooting 373 00:22:04,760 --> 00:22:08,960 Speaker 1: in a white neighborhood at a splash pad, and all 374 00:22:09,040 --> 00:22:14,840 Speaker 1: of these kids and grandparents were shot and that same week, 375 00:22:15,000 --> 00:22:17,320 Speaker 1: we had the worst mass shooting we have ever seen 376 00:22:17,520 --> 00:22:20,960 Speaker 1: in the city of Detroit. Almost all of the victims 377 00:22:21,200 --> 00:22:25,280 Speaker 1: were teenage and twenty year old women. Gretchen Whitmer went 378 00:22:25,359 --> 00:22:28,800 Speaker 1: on this tour of talking about the white neighborhood, how 379 00:22:28,920 --> 00:22:33,000 Speaker 1: terrible it was. Every Democrat politician came out, did press conferences, 380 00:22:33,040 --> 00:22:38,320 Speaker 1: we're devastated. Never once did they mention the largest mass 381 00:22:38,320 --> 00:22:42,320 Speaker 1: shooting in the history of Detroit that hurt and killed 382 00:22:42,960 --> 00:22:46,280 Speaker 1: mostly women. Never once was it mentioned. How can that be? 383 00:22:47,000 --> 00:22:49,560 Speaker 2: It's a sin and we all know what happens on 384 00:22:49,600 --> 00:22:54,160 Speaker 2: the weekends in cities like Detroit, cities like Chicago. Meanwhile, 385 00:22:54,200 --> 00:22:58,160 Speaker 2: what's the Democratic policy? They want to take guns away 386 00:22:58,200 --> 00:23:01,560 Speaker 2: from law abiding sinzens, that's what they want to do, 387 00:23:02,040 --> 00:23:07,040 Speaker 2: But instead then they go after what are effective policing 388 00:23:07,119 --> 00:23:11,479 Speaker 2: tactics like stop, question, and frisk. You think about it, 389 00:23:11,560 --> 00:23:14,400 Speaker 2: like Mike Bloomberg, now was the guy I was really 390 00:23:14,440 --> 00:23:17,199 Speaker 2: scared of in twenty twenty because he had a successful 391 00:23:17,240 --> 00:23:19,160 Speaker 2: record in New York, had a lot of money, been 392 00:23:19,200 --> 00:23:23,639 Speaker 2: a businessman, etc. He wasn't crazy left wing enough because 393 00:23:23,680 --> 00:23:25,600 Speaker 2: he was tough on crime when he was the mayor 394 00:23:25,640 --> 00:23:28,760 Speaker 2: of New York City, and it is a tragedy. And 395 00:23:28,840 --> 00:23:31,440 Speaker 2: I look at what Donald Trump is doing right now 396 00:23:31,480 --> 00:23:35,200 Speaker 2: in DC, and I think when they have success there 397 00:23:35,200 --> 00:23:37,160 Speaker 2: because we know how to do this. We know how 398 00:23:37,160 --> 00:23:39,840 Speaker 2: to do this when we put more cops on the street, 399 00:23:39,920 --> 00:23:42,840 Speaker 2: put more law enforcement there. And even when you have 400 00:23:43,000 --> 00:23:45,679 Speaker 2: kind of a bad system where the das and the 401 00:23:45,800 --> 00:23:49,560 Speaker 2: judges aren't prosecuting the way they can. Look, there's nothing 402 00:23:49,680 --> 00:23:53,719 Speaker 2: worse that somebody than a criminal wants to see than 403 00:23:53,840 --> 00:23:56,359 Speaker 2: more law enforcement. And you look at the arrests that 404 00:23:56,400 --> 00:24:01,360 Speaker 2: are happening right now. It's a sin what is happening 405 00:24:01,400 --> 00:24:04,000 Speaker 2: in our urban areas. And I can tell you specifically, 406 00:24:04,119 --> 00:24:08,600 Speaker 2: I had these conversations with Donald Trump back in twenty 407 00:24:08,680 --> 00:24:12,520 Speaker 2: eleven twenty twelve when he was possibly thinking about taking 408 00:24:12,560 --> 00:24:16,000 Speaker 2: on Barack Obama for president. Back then was that was 409 00:24:16,040 --> 00:24:19,520 Speaker 2: one of the reasons that Donald Trump understands that one 410 00:24:19,560 --> 00:24:23,320 Speaker 2: of the most important thing that our political leaders need 411 00:24:23,359 --> 00:24:26,560 Speaker 2: to do is to keep people safe. He gets that, 412 00:24:27,040 --> 00:24:29,520 Speaker 2: and there's no reason why they don't keep people safe. 413 00:24:29,760 --> 00:24:32,360 Speaker 1: So let me go to the governor's race in Michigan 414 00:24:32,359 --> 00:24:34,359 Speaker 1: now that you brought that up, because we have the 415 00:24:34,400 --> 00:24:36,879 Speaker 1: mayor of Detroit who is running for governor in the 416 00:24:36,880 --> 00:24:40,760 Speaker 1: state of Michigan. The mayor the city of Detroit competes 417 00:24:40,880 --> 00:24:44,640 Speaker 1: every year in the top three for most violent city 418 00:24:44,640 --> 00:24:47,800 Speaker 1: of America. It's like Memphis, Saint Louis. Detroit is always 419 00:24:47,880 --> 00:24:49,879 Speaker 1: in a competition of what's going to be the most 420 00:24:50,000 --> 00:24:52,439 Speaker 1: violent city in the country. He is running on the 421 00:24:52,480 --> 00:24:55,680 Speaker 1: fact that he has fixed Detroit. We are still considered 422 00:24:55,920 --> 00:24:58,480 Speaker 1: one of the most violent cities in the country. But 423 00:24:58,840 --> 00:25:01,480 Speaker 1: he's getting a lot of Republicans sport. That's the crazy 424 00:25:01,520 --> 00:25:04,359 Speaker 1: thing to me. He campaigned for Kamala he was out 425 00:25:04,400 --> 00:25:06,640 Speaker 1: there as a delegate for her. He's getting a bunch 426 00:25:06,680 --> 00:25:09,959 Speaker 1: of Republican money. You talked earlier about the fact that 427 00:25:09,960 --> 00:25:14,080 Speaker 1: they tried to keep Donald Trump off the ballot. Jocelyn Benson, 428 00:25:14,160 --> 00:25:16,520 Speaker 1: who is the Secretary of State in the state of Michigan, 429 00:25:16,960 --> 00:25:19,120 Speaker 1: was the one leading the charge, and she went out 430 00:25:19,160 --> 00:25:22,000 Speaker 1: and said that on national TV. She said, Hey, we're collaborating, 431 00:25:22,040 --> 00:25:25,800 Speaker 1: or we're coordinating with seven other secretaries of state. We're 432 00:25:25,800 --> 00:25:27,879 Speaker 1: trying to make sure we win this election. So she 433 00:25:28,040 --> 00:25:30,800 Speaker 1: essentially admitted, I'm leading the charge to try to make 434 00:25:30,840 --> 00:25:33,399 Speaker 1: sure we can't let these people on the ballot. She 435 00:25:33,640 --> 00:25:36,760 Speaker 1: did this in the state of Michigan, not with Donald Trump, 436 00:25:36,800 --> 00:25:39,480 Speaker 1: but she effectively said Cornell West could not be on 437 00:25:39,520 --> 00:25:43,879 Speaker 1: the ballot. And when Bobby Kennedy or when Yeah, Bobby 438 00:25:43,920 --> 00:25:47,560 Speaker 1: Kennedy Junior came out and said he didn't want to 439 00:25:47,560 --> 00:25:49,679 Speaker 1: be on the ballot, she said, no, you have to 440 00:25:49,720 --> 00:25:51,720 Speaker 1: be on the ballot. You're going to stay on the 441 00:25:51,720 --> 00:25:54,240 Speaker 1: ballot because she thought Cornell West would take votes from 442 00:25:54,320 --> 00:25:57,920 Speaker 1: Kamala and she thought that RFK would take votes from 443 00:25:58,080 --> 00:26:02,760 Speaker 1: Donald Trump. So she manipulated the ballot to her advantage. 444 00:26:03,200 --> 00:26:06,679 Speaker 1: What is to say that in twenty twenty six, she 445 00:26:06,920 --> 00:26:10,280 Speaker 1: won't allow Mike Duggan, the mayor of Detroit, to take 446 00:26:10,320 --> 00:26:13,119 Speaker 1: Republican money all through the primary and then get to 447 00:26:13,160 --> 00:26:14,960 Speaker 1: the general and say he can't be on the ballot. 448 00:26:16,000 --> 00:26:20,359 Speaker 2: Well, the Democrats will because they don't. It's always about 449 00:26:20,400 --> 00:26:23,200 Speaker 2: winning when it comes through with the Democrats. And you're 450 00:26:23,240 --> 00:26:26,119 Speaker 2: exactly right. In the presidential race, we saw that, you know, 451 00:26:26,280 --> 00:26:29,119 Speaker 2: we saw the Cornell West, what few votes he was getting, 452 00:26:29,400 --> 00:26:32,040 Speaker 2: they were going to hurt Kamala Harris and the few 453 00:26:32,119 --> 00:26:34,760 Speaker 2: votes that you know RFK Junior was getting, they were 454 00:26:34,800 --> 00:26:37,960 Speaker 2: more likely to hurt Donald Trump. That's why the Democrats 455 00:26:37,960 --> 00:26:41,960 Speaker 2: played for keeps. But again, I think it's a lot 456 00:26:41,960 --> 00:26:45,760 Speaker 2: of times the Democrats insult the intelligence of the voters. 457 00:26:46,240 --> 00:26:48,480 Speaker 2: And I think if you can make your case to 458 00:26:48,520 --> 00:26:51,239 Speaker 2: the voters, show a real contrast, maybe we can get 459 00:26:51,320 --> 00:26:54,560 Speaker 2: you to run for governor again. And you have some 460 00:26:54,760 --> 00:26:58,879 Speaker 2: real differences there. Make it about the issues. You know. 461 00:26:58,960 --> 00:27:01,760 Speaker 2: I was talking to some folks that are trying to help, 462 00:27:02,000 --> 00:27:04,040 Speaker 2: you know, Curtis Leeve in New York, and Curtis is 463 00:27:04,080 --> 00:27:06,840 Speaker 2: a friend of mine, and I see, you know, they're 464 00:27:06,880 --> 00:27:09,040 Speaker 2: asking me what can he do to get more support. 465 00:27:09,200 --> 00:27:11,639 Speaker 2: I said, he's got to give people a reason to 466 00:27:11,760 --> 00:27:14,919 Speaker 2: vote for them, just like Donald Trump did. Donald Trump 467 00:27:15,000 --> 00:27:17,840 Speaker 2: always had issues in the last campaign. It was about, 468 00:27:18,160 --> 00:27:21,679 Speaker 2: you know, bringing down inflation. It was about fixing the border, 469 00:27:21,800 --> 00:27:24,680 Speaker 2: and he was going to end the endless wars. And 470 00:27:25,200 --> 00:27:28,040 Speaker 2: you need issues. But the good news is for the 471 00:27:28,040 --> 00:27:32,560 Speaker 2: Republicans in Michigan, they have issues. Things have gotten too expensively, 472 00:27:33,160 --> 00:27:38,280 Speaker 2: unemployment yep, and unemployment is above the national average. There. 473 00:27:38,600 --> 00:27:42,400 Speaker 2: Wages are still having trouble because again people got buried 474 00:27:42,440 --> 00:27:46,600 Speaker 2: during those Biden and Harrish yars. We need to bring 475 00:27:46,680 --> 00:27:50,320 Speaker 2: those wages up and increase salaries and get it above 476 00:27:50,480 --> 00:27:53,560 Speaker 2: the cost of living. So I think if you make 477 00:27:53,640 --> 00:27:58,120 Speaker 2: that campaign basically off issues, show some real contrast there. 478 00:27:58,240 --> 00:28:01,920 Speaker 2: I think the Republicans, not just the Michigan but across 479 00:28:01,960 --> 00:28:07,239 Speaker 2: the country. I think Republicans can overperform in these mid 480 00:28:07,359 --> 00:28:10,120 Speaker 2: term elections. And again, a lot of it isn't because 481 00:28:10,240 --> 00:28:12,879 Speaker 2: not just because of the successes of President Trump and 482 00:28:12,880 --> 00:28:16,280 Speaker 2: the Republicans, but because of the failures and extremism of 483 00:28:16,320 --> 00:28:17,080 Speaker 2: the Democrats. 484 00:28:17,240 --> 00:28:19,919 Speaker 1: Let's take a quick commercial break. We'll continue next on 485 00:28:19,960 --> 00:28:26,000 Speaker 1: the Tutor Dixon Podcast. For people who think you can 486 00:28:26,200 --> 00:28:28,639 Speaker 1: lay back and kind of just see how things are going, 487 00:28:28,880 --> 00:28:31,000 Speaker 1: you have to be actively out there with a message, 488 00:28:31,280 --> 00:28:33,439 Speaker 1: and that is where the Democrats have not been. So 489 00:28:33,480 --> 00:28:36,600 Speaker 1: I just want to quickly go over some numbers on 490 00:28:36,640 --> 00:28:41,080 Speaker 1: the whole national mood. Right now. You have that people 491 00:28:41,600 --> 00:28:45,880 Speaker 1: right direction versus wrong track are forty two to fifty percent. 492 00:28:46,240 --> 00:28:48,680 Speaker 1: What does that mean is that should we be nervous 493 00:28:48,680 --> 00:28:49,040 Speaker 1: about that? 494 00:28:49,680 --> 00:28:52,800 Speaker 2: And look, we've got to get that number up. And 495 00:28:52,960 --> 00:28:56,520 Speaker 2: I'll give you look think about it. It was seventy 496 00:28:56,600 --> 00:29:00,960 Speaker 2: percent wrong track on election day for Joe Biden, seventy 497 00:29:01,000 --> 00:29:03,160 Speaker 2: percent of Rember and the media. I remember when the 498 00:29:03,160 --> 00:29:06,480 Speaker 2: first exit polls came in on election day, the media 499 00:29:06,640 --> 00:29:09,120 Speaker 2: was like, seventy percent are saying things are off on 500 00:29:09,160 --> 00:29:11,360 Speaker 2: the wrong track. Things are going great here in DC 501 00:29:11,480 --> 00:29:14,160 Speaker 2: and Manhattan, and it was just talk about being in 502 00:29:14,200 --> 00:29:17,720 Speaker 2: a bubble. That's and we saw those numbers constantly in 503 00:29:17,760 --> 00:29:22,080 Speaker 2: the battleground states, especially in places like Michigan, Wisconsin, and Pennsylvania. 504 00:29:22,760 --> 00:29:26,760 Speaker 2: But they're significantly better. But we need to get them better. 505 00:29:27,320 --> 00:29:30,080 Speaker 2: We need to get them up over fifty percent for 506 00:29:30,120 --> 00:29:34,600 Speaker 2: those midterm elections. That's why it was so important that 507 00:29:34,800 --> 00:29:38,920 Speaker 2: the Republicans passed the Beautiful Bill when they did, because 508 00:29:39,120 --> 00:29:43,800 Speaker 2: it's going to give us time to make the economy better. 509 00:29:44,160 --> 00:29:48,040 Speaker 2: And people don't realize how much good stuff was in 510 00:29:48,080 --> 00:29:53,040 Speaker 2: that Beautiful Bill was at all. It wasn't just tax relief, 511 00:29:53,160 --> 00:29:57,240 Speaker 2: it wasn't just deregulation. There was energy independence in there. 512 00:29:57,280 --> 00:29:59,560 Speaker 2: So it's going to bring down the price of utilities, 513 00:29:59,720 --> 00:30:05,080 Speaker 2: energy gas, et cetera. More you know, more resources for 514 00:30:05,120 --> 00:30:08,800 Speaker 2: our border patrol agents, more resources for immigration, et cetera. 515 00:30:09,240 --> 00:30:12,200 Speaker 2: So they're gonna see all this good stuff happen. And again, 516 00:30:12,440 --> 00:30:16,040 Speaker 2: it takes time for this to seep in and for 517 00:30:16,080 --> 00:30:19,520 Speaker 2: the country to get better. I'm kind of amazed by 518 00:30:19,560 --> 00:30:22,240 Speaker 2: the successes in such a short period of time that 519 00:30:22,280 --> 00:30:25,800 Speaker 2: President Trump has been able to have. But we need 520 00:30:25,840 --> 00:30:28,640 Speaker 2: to get that number up because back in two thousand 521 00:30:28,640 --> 00:30:33,040 Speaker 2: and two, when the Republicans defied history and they actually 522 00:30:33,080 --> 00:30:36,920 Speaker 2: picked up seats during the mid term, the first midterm 523 00:30:35,880 --> 00:30:41,120 Speaker 2: of George W. Bush, there was a sense the country 524 00:30:41,240 --> 00:30:43,840 Speaker 2: was moving in the right direction. After nine to eleven, 525 00:30:43,880 --> 00:30:47,200 Speaker 2: the economy was doing well. George W. Bush and the 526 00:30:47,200 --> 00:30:50,920 Speaker 2: Republicans were keeping us safe. The right direction number was 527 00:30:51,000 --> 00:30:54,600 Speaker 2: up over fifty percent, So it's really important. And what's 528 00:30:54,600 --> 00:30:58,800 Speaker 2: happened is, Hey, Republicans overwhelmingly think the country's moving in 529 00:30:58,800 --> 00:31:02,320 Speaker 2: the right direction. Dependents are getting there. They were, by 530 00:31:02,360 --> 00:31:05,560 Speaker 2: the way, about seventy percent plus when Joe Biden was president, 531 00:31:05,960 --> 00:31:09,280 Speaker 2: off on the wrong track. Oh, we need to keep 532 00:31:09,360 --> 00:31:12,400 Speaker 2: monitoring that number, and we need to get that number up. 533 00:31:12,400 --> 00:31:14,640 Speaker 2: And I think it's going to happen as Donald Trump 534 00:31:14,680 --> 00:31:17,320 Speaker 2: continues to get successes at the national level. 535 00:31:17,800 --> 00:31:20,520 Speaker 1: Well, but right now you have the general congressional ballot 536 00:31:20,600 --> 00:31:23,760 Speaker 1: at forty seven percent Republican forty two percent Democrats, So 537 00:31:23,840 --> 00:31:25,040 Speaker 1: that seems like it's good. 538 00:31:25,640 --> 00:31:28,800 Speaker 2: Yeah, And that's way ahead of where we've been in 539 00:31:28,920 --> 00:31:31,360 Speaker 2: past elections, and a lot of there's been times where 540 00:31:31,720 --> 00:31:35,680 Speaker 2: the Republicans have actually been losing on the national generic 541 00:31:35,800 --> 00:31:38,360 Speaker 2: ballot because look, it's a little bit skewed in a 542 00:31:38,440 --> 00:31:42,360 Speaker 2: national poll to places like you know, California, New York, 543 00:31:42,440 --> 00:31:46,200 Speaker 2: which you know, it's the battlegrounds are going to be 544 00:31:46,240 --> 00:31:49,000 Speaker 2: fought out. I guess the NCC, you know, which is 545 00:31:49,080 --> 00:31:52,680 Speaker 2: the campaign arm of the congressional Republicans. I think they've 546 00:31:52,720 --> 00:31:57,640 Speaker 2: identified about forty six battleground type seats in this election. 547 00:31:57,880 --> 00:31:59,880 Speaker 2: And you know, some of those districts, as you know 548 00:32:00,080 --> 00:32:02,920 Speaker 2: in Michigan, like a John James district, they could be 549 00:32:03,080 --> 00:32:06,320 Speaker 2: very different than what the national elector it is at large. 550 00:32:06,560 --> 00:32:09,720 Speaker 2: But that is a really good sign for Republicans, the 551 00:32:09,800 --> 00:32:12,560 Speaker 2: fact that their plus were plus five in the generic 552 00:32:12,680 --> 00:32:15,880 Speaker 2: and the numbers are relatively close. As long as it 553 00:32:15,960 --> 00:32:18,120 Speaker 2: stays like that, and if we can get a little 554 00:32:18,160 --> 00:32:22,480 Speaker 2: bit better, that's that spells you know, that that means 555 00:32:22,520 --> 00:32:25,360 Speaker 2: good things are coming in the midterm elections. And by 556 00:32:25,400 --> 00:32:27,720 Speaker 2: the way, there's some polls out there. I saw I 557 00:32:27,760 --> 00:32:29,640 Speaker 2: think it was Pew the other day. They had Donald 558 00:32:29,680 --> 00:32:33,760 Speaker 2: Trump with like a thirty nine percent approval rating. It 559 00:32:33,880 --> 00:32:37,520 Speaker 2: wasn't likely voters. It was a survey of adults. They understand, 560 00:32:37,560 --> 00:32:41,520 Speaker 2: sampled Republicans, don't don't get crazy, don't pay attention to 561 00:32:41,600 --> 00:32:44,840 Speaker 2: the to the bad media polls. I remember there were 562 00:32:44,880 --> 00:32:47,120 Speaker 2: a bunch of polls that came out Michigan right before 563 00:32:47,120 --> 00:32:49,880 Speaker 2: the election that said Kamala Harris was going to win. 564 00:32:50,520 --> 00:32:53,640 Speaker 2: We had and we even released some numbers a couple 565 00:32:53,600 --> 00:32:57,080 Speaker 2: of weeks before the election. We had Donald Trump basically 566 00:32:57,160 --> 00:33:01,800 Speaker 2: after Labor Day with a more but durable lead in 567 00:33:02,000 --> 00:33:04,040 Speaker 2: all of the battleground states. 568 00:33:05,200 --> 00:33:07,520 Speaker 1: And well, that's what I mean. There was a point 569 00:33:07,560 --> 00:33:10,400 Speaker 1: when they said that Michigan was going to her, and 570 00:33:10,440 --> 00:33:13,960 Speaker 1: we were watching. It was interesting because Alyssa Slotkin was like, no, 571 00:33:14,120 --> 00:33:16,440 Speaker 1: you know, I think it's really bad for Kamala Harris. 572 00:33:16,960 --> 00:33:19,200 Speaker 1: And I think everybody went, how could she come out 573 00:33:19,200 --> 00:33:21,320 Speaker 1: and say that? You know, she just openly said it, 574 00:33:21,400 --> 00:33:24,200 Speaker 1: and she had these commercials with Trump, and that was 575 00:33:24,240 --> 00:33:26,280 Speaker 1: sort of on the ground here in Michigan. We're like, 576 00:33:26,360 --> 00:33:29,560 Speaker 1: it must be really good for him, because if she's 577 00:33:29,720 --> 00:33:34,040 Speaker 1: doing this in Michigan, that's a good sign. So before 578 00:33:34,040 --> 00:33:36,920 Speaker 1: I let you go House and Senate, what are you thinking? 579 00:33:37,760 --> 00:33:40,840 Speaker 2: Well, look, I think we should hold on to the Senate. 580 00:33:41,000 --> 00:33:43,800 Speaker 2: We've got some great candidates. You know, the Democrats are 581 00:33:43,840 --> 00:33:46,120 Speaker 2: going crazy because they got a guy like Sharon Brown 582 00:33:46,160 --> 00:33:48,920 Speaker 2: in Ohio and I'm like, he just lost, you know, 583 00:33:49,080 --> 00:33:52,440 Speaker 2: he lost that not that long ago, and that's and 584 00:33:52,760 --> 00:33:55,640 Speaker 2: he is very, very liberal. He's very out of touch 585 00:33:55,680 --> 00:33:58,000 Speaker 2: where Ohio is right now. So I think we're going 586 00:33:58,040 --> 00:34:01,600 Speaker 2: to be okay. And in the Senate and look, the 587 00:34:01,640 --> 00:34:04,240 Speaker 2: congressional racers are going to be a dogfight, like we've 588 00:34:04,280 --> 00:34:07,480 Speaker 2: talked about. You know, history says the party in power 589 00:34:07,600 --> 00:34:10,680 Speaker 2: loses an average of at least twenty five seats during 590 00:34:10,719 --> 00:34:16,080 Speaker 2: the mid terms. But I think the contrast of Donald 591 00:34:16,120 --> 00:34:21,120 Speaker 2: Trump and the Republicans' successes versus the democrats extremism and failures, 592 00:34:21,600 --> 00:34:24,200 Speaker 2: I think we got a legitimate shot. I also think, 593 00:34:24,320 --> 00:34:29,520 Speaker 2: you know, under Speaker Johnson, the leadership of Chairman Hudson 594 00:34:29,560 --> 00:34:32,719 Speaker 2: at the NRCC, And I also think what you're seeing is, 595 00:34:32,760 --> 00:34:37,840 Speaker 2: you know, Susie Wilds, Chris Lasovita, the Republicans in Donald 596 00:34:37,880 --> 00:34:42,200 Speaker 2: Trump's fear, they understand the importance of keeping a Republican majority, 597 00:34:42,200 --> 00:34:46,040 Speaker 2: which unfortunately, there were folks involved with the President Trump's 598 00:34:46,640 --> 00:34:51,400 Speaker 2: presidency the first time, it didn't understand how important it 599 00:34:51,440 --> 00:34:53,160 Speaker 2: was for us to keep the House in the Senate. 600 00:34:53,239 --> 00:34:56,680 Speaker 2: So I feel as good as you could this time 601 00:34:56,719 --> 00:34:59,160 Speaker 2: of the year about us holding on good. 602 00:34:59,360 --> 00:35:01,560 Speaker 1: Well that hopefully there's a lot of energy in those 603 00:35:01,600 --> 00:35:04,120 Speaker 1: Trump voters that we talked about that didn't come out 604 00:35:04,160 --> 00:35:07,399 Speaker 1: in twenty eighteen. That's the goal for anybody listening, that's 605 00:35:07,440 --> 00:35:09,560 Speaker 1: the goal. Push those people back out. They got to 606 00:35:09,600 --> 00:35:12,480 Speaker 1: come out in twenty twenty six and they've got to 607 00:35:12,560 --> 00:35:14,480 Speaker 1: vote because they're going to vote the right way and 608 00:35:14,880 --> 00:35:17,480 Speaker 1: then we're going to retain the majority. Well, it's been 609 00:35:17,480 --> 00:35:20,520 Speaker 1: a pleasure talking to you, Jim McLaughlin. Tell people where 610 00:35:20,520 --> 00:35:22,719 Speaker 1: they can find all of your information and follow you guys. 611 00:35:23,239 --> 00:35:25,080 Speaker 2: Oh, they can just go to our website Jim at 612 00:35:25,120 --> 00:35:28,960 Speaker 2: McLaughlin online dot com. And I'm on Twitter and Facebook 613 00:35:29,000 --> 00:35:32,880 Speaker 2: and all that other it's under Jim's polls on at Twitter. 614 00:35:33,000 --> 00:35:37,400 Speaker 2: So anytime, and the pleasure actually has been Allline, this 615 00:35:37,440 --> 00:35:40,680 Speaker 2: has been great, and congratulations on all your success with 616 00:35:40,760 --> 00:35:41,760 Speaker 2: the podcast Tutor. 617 00:35:42,040 --> 00:35:44,160 Speaker 1: Well, thank you. It's been so much fun. And I 618 00:35:45,080 --> 00:35:48,440 Speaker 1: have to thank Clay and Buck for giving me this opportunity. Honestly, 619 00:35:48,719 --> 00:35:51,279 Speaker 1: like the network is great the group that we work 620 00:35:51,320 --> 00:35:54,000 Speaker 1: with is fantastic. We've been able to get so much 621 00:35:54,000 --> 00:35:57,560 Speaker 1: information out. We just on Friday we had an interview 622 00:35:57,640 --> 00:36:00,600 Speaker 1: with a woman from the FDA and the information we 623 00:36:00,680 --> 00:36:03,719 Speaker 1: got out so cool. So cool what we're able to 624 00:36:03,760 --> 00:36:06,480 Speaker 1: do with this platform and being able to talk to 625 00:36:06,480 --> 00:36:09,560 Speaker 1: people who are really working hard in the administration and 626 00:36:09,640 --> 00:36:11,879 Speaker 1: folks like you who are helping the president. So thank 627 00:36:11,920 --> 00:36:15,040 Speaker 1: you for what you do. Thank you, and thank you 628 00:36:15,040 --> 00:36:17,879 Speaker 1: all for listening to the Tutor Dixon podcast. You can 629 00:36:17,920 --> 00:36:20,960 Speaker 1: subscribe at the iHeartRadio app, Apple Podcasts, or wherever you 630 00:36:21,040 --> 00:36:23,080 Speaker 1: get your podcasts, or you can watch the whole video 631 00:36:23,280 --> 00:36:26,000 Speaker 1: on Rumble or YouTube at tutor Dixon and join us 632 00:36:26,040 --> 00:36:27,759 Speaker 1: the next time. Have a blessed day.