1 00:00:00,520 --> 00:00:02,720 Speaker 1: Welcome to the Tutor Dixon Podcast. We're doing this a 2 00:00:02,759 --> 00:00:05,360 Speaker 1: little bit different today. I have Kyle here with me, 3 00:00:05,760 --> 00:00:08,840 Speaker 1: so we are both going to be just chatting with 4 00:00:08,920 --> 00:00:11,159 Speaker 1: you about what happened in Michigan this week, which I 5 00:00:11,200 --> 00:00:14,840 Speaker 1: think is exciting a little bit weird. So you saw 6 00:00:15,160 --> 00:00:18,640 Speaker 1: President Trump come here to celebrate his one hundred days, 7 00:00:18,840 --> 00:00:21,360 Speaker 1: which has been really truly amazing. We've talked about it 8 00:00:21,360 --> 00:00:24,200 Speaker 1: a little bit on the program. We talked to Harrison 9 00:00:24,239 --> 00:00:28,160 Speaker 1: Fields about it on the program. It's been I mean, 10 00:00:28,200 --> 00:00:32,159 Speaker 1: I think that he's moving at really light speed. The 11 00:00:32,240 --> 00:00:34,680 Speaker 1: guy is he never slows down. Kyle and I were 12 00:00:34,680 --> 00:00:36,600 Speaker 1: both at the White House this week and we got 13 00:00:36,600 --> 00:00:38,199 Speaker 1: to talk to people there, and I don't know what 14 00:00:38,240 --> 00:00:42,159 Speaker 1: your experience was, but my experience was that everybody had 15 00:00:42,200 --> 00:00:45,199 Speaker 1: talked to was like, the guy never sleeps. We're literally 16 00:00:45,280 --> 00:00:47,479 Speaker 1: working all the time in a good way. I mean, 17 00:00:47,520 --> 00:00:50,559 Speaker 1: you could tell they were exhausted, but they were so 18 00:00:50,680 --> 00:00:52,040 Speaker 1: pleased with what they've done. 19 00:00:52,240 --> 00:00:55,720 Speaker 2: Yeah. I talked to Ron Vittella, who is the Senior 20 00:00:55,760 --> 00:00:59,520 Speaker 2: Advisor for Customs and Border Protection, and we obviously were 21 00:00:59,520 --> 00:01:03,560 Speaker 2: talking about deportations and border security, and one of the 22 00:01:03,560 --> 00:01:06,039 Speaker 2: things that we talked about and I still I just 23 00:01:06,080 --> 00:01:08,040 Speaker 2: still can't get over the fact that, you know, one 24 00:01:08,080 --> 00:01:12,160 Speaker 2: of the things he said was illegal border crossings at 25 00:01:12,160 --> 00:01:15,360 Speaker 2: the southern border have decreased ninety seven percent. 26 00:01:15,600 --> 00:01:19,000 Speaker 1: Right, But that just goes to show they weren't doing anything. 27 00:01:19,040 --> 00:01:21,400 Speaker 1: And not even they weren't doing anything. People are like, oh, 28 00:01:21,520 --> 00:01:25,039 Speaker 1: Joe Biden wasn't opening order. Yes he was, he was. 29 00:01:25,240 --> 00:01:30,280 Speaker 2: And they created this app that would allow people to 30 00:01:30,360 --> 00:01:34,400 Speaker 2: sort of fill out their information and then be caught 31 00:01:34,720 --> 00:01:37,920 Speaker 2: quote unquote caught and then released into the country. And 32 00:01:37,959 --> 00:01:40,319 Speaker 2: now what they've done is they've changed the app so 33 00:01:40,360 --> 00:01:43,440 Speaker 2: that it's actually now being used to self deport So 34 00:01:43,600 --> 00:01:47,440 Speaker 2: instead of having illegal aliens using the app to get 35 00:01:47,480 --> 00:01:49,680 Speaker 2: into the country, they are now using the app to 36 00:01:49,720 --> 00:01:50,800 Speaker 2: get out of the country. 37 00:01:51,160 --> 00:01:54,640 Speaker 1: So I wonder if that is I had because I 38 00:01:54,680 --> 00:01:58,200 Speaker 1: was talking about this on Newsmax and we were talking 39 00:01:58,200 --> 00:02:01,800 Speaker 1: about the deportation and do process, and I had someone 40 00:02:01,840 --> 00:02:03,800 Speaker 1: reach out to me and say, like, everybody that comes 41 00:02:03,840 --> 00:02:06,160 Speaker 1: into the country has to have due process. And I 42 00:02:06,240 --> 00:02:09,520 Speaker 1: know that when he had the what did he Alien 43 00:02:09,639 --> 00:02:12,840 Speaker 1: Enemies Act, that that takes that away for you. If 44 00:02:12,840 --> 00:02:14,399 Speaker 1: you are a gang member, if you are a part 45 00:02:14,400 --> 00:02:18,240 Speaker 1: of one of these designated terrorist organizations, then you can 46 00:02:18,280 --> 00:02:22,520 Speaker 1: be immediately deported. He has commented on the fact that 47 00:02:22,560 --> 00:02:25,920 Speaker 1: it is challenging to deport this many people when you 48 00:02:26,000 --> 00:02:28,639 Speaker 1: have to go through a court. So maybe that also 49 00:02:28,720 --> 00:02:31,400 Speaker 1: allows these people to, like, before you get caught, you 50 00:02:31,440 --> 00:02:33,400 Speaker 1: can go out and come back in the right way. 51 00:02:34,000 --> 00:02:37,480 Speaker 2: Yeah. Well, and this idea that people are not getting 52 00:02:37,560 --> 00:02:40,760 Speaker 2: due process is false. You know, there's so many stories. 53 00:02:41,040 --> 00:02:43,720 Speaker 2: I read a lot of these stories on the ICE website, 54 00:02:44,360 --> 00:02:47,600 Speaker 2: and there's so many of these stories where individuals an 55 00:02:47,600 --> 00:02:50,880 Speaker 2: immigration judge will say they should be deported, but then 56 00:02:50,919 --> 00:02:54,280 Speaker 2: they just disappear. And now what the Trump administration is 57 00:02:54,320 --> 00:02:57,320 Speaker 2: doing is actually finding these people and arresting them. And 58 00:02:57,360 --> 00:02:59,399 Speaker 2: one of the things I said was, I just it's 59 00:02:59,440 --> 00:03:02,480 Speaker 2: so amazing to me because some of these raids and 60 00:03:02,600 --> 00:03:06,760 Speaker 2: arrests and all of that happened literally on inauguration day. 61 00:03:06,880 --> 00:03:09,080 Speaker 2: I mean it was he was sworn in at noon 62 00:03:09,480 --> 00:03:11,920 Speaker 2: and they started And I said, what that says to 63 00:03:12,000 --> 00:03:15,680 Speaker 2: someone who, you know, I think has common sense, is 64 00:03:15,720 --> 00:03:19,960 Speaker 2: that if you knew on inauguration day that where these 65 00:03:20,000 --> 00:03:23,839 Speaker 2: people were, then that means the Biden administration knew where 66 00:03:23,880 --> 00:03:26,800 Speaker 2: these people were. And these a lot of these are criminal, 67 00:03:26,840 --> 00:03:29,600 Speaker 2: illegal aliens. It's not just people who cross the border 68 00:03:29,639 --> 00:03:36,120 Speaker 2: illegally who are by definition criminals. It's murderers, it's rapists, 69 00:03:36,160 --> 00:03:40,920 Speaker 2: it's just horrible, horrible crimes that many of them were 70 00:03:40,960 --> 00:03:42,640 Speaker 2: committed in the United States. 71 00:03:42,960 --> 00:03:45,240 Speaker 1: Well, I have been talked to and maybe I'm just 72 00:03:45,480 --> 00:03:47,520 Speaker 1: I don't know how I missed this, but I talked 73 00:03:47,520 --> 00:03:49,600 Speaker 1: to one of the guys from the CIA. Will have 74 00:03:49,680 --> 00:03:51,400 Speaker 1: that coming out, you guys are going to listen to that. 75 00:03:51,480 --> 00:03:53,800 Speaker 1: But one of the things that he said was, you know, 76 00:03:53,840 --> 00:03:58,680 Speaker 1: we found the mastermind behind Abbygate in February and arrested 77 00:03:58,720 --> 00:04:02,520 Speaker 1: him and he's brought back to this country. And I thought, 78 00:04:03,160 --> 00:04:07,120 Speaker 1: think about that. I mean, all this time, those thirteen 79 00:04:07,160 --> 00:04:11,080 Speaker 1: service members died, Joe Biden wouldn't even acknowledge it. In February, 80 00:04:11,560 --> 00:04:14,320 Speaker 1: thirty days in, they get the bad guy. You know, 81 00:04:14,400 --> 00:04:17,960 Speaker 1: this administration is not messing around. But that aside, that's 82 00:04:17,960 --> 00:04:20,440 Speaker 1: a whole that's a whole nother story. I want to 83 00:04:20,440 --> 00:04:22,680 Speaker 1: talk about Michigan. So I want to get back to 84 00:04:22,680 --> 00:04:25,160 Speaker 1: Michigan because there's kind of like the elephant in the 85 00:04:25,240 --> 00:04:27,880 Speaker 1: room that we have to address, and that is the 86 00:04:27,960 --> 00:04:31,400 Speaker 1: relationship that we're seeing between Governor Whitmer and President Trump, 87 00:04:31,440 --> 00:04:33,200 Speaker 1: and I think that I feel like I have to 88 00:04:33,240 --> 00:04:35,480 Speaker 1: address this because people come to me a lot and 89 00:04:35,480 --> 00:04:38,120 Speaker 1: they're like, how do you feel about him? Saying, No, 90 00:04:38,360 --> 00:04:40,640 Speaker 1: she's great, She's doing such a great job. And I 91 00:04:40,680 --> 00:04:43,360 Speaker 1: have some of the quotes here because he did come 92 00:04:43,360 --> 00:04:49,560 Speaker 1: to Michigan. We are we are so happy that he 93 00:04:49,600 --> 00:04:52,400 Speaker 1: did this because he came here and he said he's 94 00:04:52,440 --> 00:04:57,240 Speaker 1: going to essentially keep Selfridge Air Force Base open. And 95 00:04:57,480 --> 00:05:02,520 Speaker 1: this is important to us because it was really not officially, 96 00:05:02,600 --> 00:05:04,839 Speaker 1: but I think unofficially everybody kind of felt like it 97 00:05:04,880 --> 00:05:08,799 Speaker 1: was closing. There was you're laughing, I'm not laughing. Oh okay, 98 00:05:08,800 --> 00:05:10,320 Speaker 1: I thought you were laughing. You had a weird look 99 00:05:10,320 --> 00:05:15,560 Speaker 1: on your face. So I think unofficially we all thought 100 00:05:14,120 --> 00:05:19,720 Speaker 1: these airplanes or the fighter jets that they had there 101 00:05:19,720 --> 00:05:22,599 Speaker 1: are kind of being obsoleted. They needed to get a 102 00:05:22,640 --> 00:05:26,400 Speaker 1: new group of planes in there, or they were going 103 00:05:26,480 --> 00:05:29,240 Speaker 1: to shut down. And Whitmer knew that. That's why she 104 00:05:29,320 --> 00:05:31,200 Speaker 1: went when she went to the White House, she went 105 00:05:31,240 --> 00:05:34,960 Speaker 1: and said, I need you to keep Selfridge open. There's 106 00:05:34,960 --> 00:05:37,280 Speaker 1: a few elephants in this room. I mean, the relationship 107 00:05:37,279 --> 00:05:41,279 Speaker 1: between President Trump and Governor Whitmer, which is I'm not 108 00:05:41,560 --> 00:05:44,000 Speaker 1: knocking that because I think that him coming here and 109 00:05:44,040 --> 00:05:46,159 Speaker 1: saying that he's going to make sure that this is 110 00:05:46,200 --> 00:05:49,279 Speaker 1: secure and make sure that the base continues is critical. 111 00:05:50,000 --> 00:05:53,080 Speaker 1: But the other one is why didn't Biden do it? Well? 112 00:05:53,120 --> 00:05:59,880 Speaker 2: I think Biden, Okay, Biden, this fleet needs to go somewhere. 113 00:06:00,160 --> 00:06:03,000 Speaker 2: And I don't think Biden really necessarily cared about Michigan. 114 00:06:03,200 --> 00:06:05,919 Speaker 2: I don't think even though he was looking at Whitmer 115 00:06:05,920 --> 00:06:09,000 Speaker 2: to be his running mate, it didn't really it didn't 116 00:06:09,000 --> 00:06:11,080 Speaker 2: really matter to him, and he would have been fine 117 00:06:11,120 --> 00:06:14,080 Speaker 2: if it went, you know, anywhere else. But this was 118 00:06:14,160 --> 00:06:17,320 Speaker 2: I think this was very necessary for Michigan, and it 119 00:06:17,360 --> 00:06:21,480 Speaker 2: was interesting. I think when when Whitmer, she spoke for 120 00:06:21,520 --> 00:06:25,000 Speaker 2: about thirty seconds at the announcement. Trump asked her to 121 00:06:25,000 --> 00:06:27,080 Speaker 2: come up and she was not prepared, and she said 122 00:06:27,080 --> 00:06:30,480 Speaker 2: she was not prepared. But when she did speak, you know, 123 00:06:30,520 --> 00:06:33,919 Speaker 2: she the first reason she said that this was necessary 124 00:06:34,040 --> 00:06:37,440 Speaker 2: was for the economy, which we can get into. You know, 125 00:06:37,480 --> 00:06:40,080 Speaker 2: what's happening with the Michigan economy, and she's desperate for 126 00:06:40,120 --> 00:06:44,400 Speaker 2: any sort of good news because it's almost universally bad. 127 00:06:45,520 --> 00:06:48,600 Speaker 2: But you know what. I think that what it showed 128 00:06:48,839 --> 00:06:52,800 Speaker 2: is that Trump is very engaged. When he has people 129 00:06:52,839 --> 00:06:55,760 Speaker 2: like the speaker of the Michigan House, Matt Hall, and 130 00:06:55,839 --> 00:06:59,320 Speaker 2: others reaching out to him talking to him about this, 131 00:07:00,200 --> 00:07:02,960 Speaker 2: He's listening and he is as we were just talking about. 132 00:07:03,000 --> 00:07:04,599 Speaker 2: I mean, he never stops working. 133 00:07:04,839 --> 00:07:07,120 Speaker 1: I think the President takes it very seriously. I mean, 134 00:07:07,160 --> 00:07:09,080 Speaker 1: I know the President takes it very seriously when he 135 00:07:09,120 --> 00:07:11,320 Speaker 1: comes out and he says, I'm going to help you, 136 00:07:11,360 --> 00:07:12,840 Speaker 1: I'm going to bring this back, I'm going to do 137 00:07:13,200 --> 00:07:16,160 Speaker 1: things for your state. Michigan. He was in Michigan. He 138 00:07:16,360 --> 00:07:18,960 Speaker 1: ended his campaign in Michigan. He was in Michigan. I 139 00:07:18,960 --> 00:07:21,920 Speaker 1: think almost probably more than any other state. They spent 140 00:07:22,000 --> 00:07:24,000 Speaker 1: a lot of time. If it was him or surrogates 141 00:07:24,120 --> 00:07:27,120 Speaker 1: or the vice president, they were here quite a bit. 142 00:07:27,600 --> 00:07:29,360 Speaker 1: So Michigan was very important. He made a lot of 143 00:07:29,360 --> 00:07:33,000 Speaker 1: promises to us. I think that's interesting because the whole 144 00:07:33,000 --> 00:07:36,520 Speaker 1: one hundred Days theme as promises made, promises kept, and 145 00:07:36,960 --> 00:07:39,760 Speaker 1: many promises were made to Michigan. He came here to 146 00:07:39,800 --> 00:07:42,920 Speaker 1: say he's going to review the auto tariffs and give 147 00:07:43,000 --> 00:07:46,280 Speaker 1: some relief there that I think has been a big concern. 148 00:07:46,320 --> 00:07:49,200 Speaker 1: And that's kind of been one of the things that 149 00:07:49,440 --> 00:07:52,600 Speaker 1: the candidates here on the Democrat side have been bashing 150 00:07:52,680 --> 00:07:54,920 Speaker 1: him on already, like, oh my gosh, he's going to 151 00:07:54,920 --> 00:07:58,520 Speaker 1: destroy our industry. So he came here. That's meaningful. He 152 00:07:58,600 --> 00:08:01,360 Speaker 1: jumped on a plane, he came here rally. He had 153 00:08:01,400 --> 00:08:05,360 Speaker 1: whitmer at the Selfridge part of it. He calls out 154 00:08:05,400 --> 00:08:08,440 Speaker 1: to her, I think the thing that people are struggling 155 00:08:08,480 --> 00:08:12,320 Speaker 1: with is and he says it, which you know is 156 00:08:12,400 --> 00:08:14,440 Speaker 1: part of his charm. He says, I'm not supposed to 157 00:08:14,440 --> 00:08:16,720 Speaker 1: do that. She's a Democrat. They say, don't do that, 158 00:08:16,920 --> 00:08:20,480 Speaker 1: don't have her here. I said, no, she's going to 159 00:08:20,520 --> 00:08:23,400 Speaker 1: be here. She's done a very good job, frankly, and 160 00:08:23,480 --> 00:08:26,000 Speaker 1: she's been very much involved with the Republicans. They've worked 161 00:08:26,000 --> 00:08:28,520 Speaker 1: together on saving it. It was not easy. So thank 162 00:08:28,560 --> 00:08:31,920 Speaker 1: you very much, Gretchen. Good job. That's the elephant in 163 00:08:31,920 --> 00:08:36,000 Speaker 1: the room because people in the state are frustrated. Republicans 164 00:08:36,080 --> 00:08:40,240 Speaker 1: in the state are frustrated. The state itself is in 165 00:08:40,440 --> 00:08:44,160 Speaker 1: total disarray. The roads were never fixed, the infrastructure is 166 00:08:44,360 --> 00:08:47,200 Speaker 1: forty first in the nation. That was what she ran on. 167 00:08:47,559 --> 00:08:52,400 Speaker 1: You know, we can go through education. Jobs are down, everything, 168 00:08:53,640 --> 00:08:56,120 Speaker 1: literacy is up. All of these things are a problem, 169 00:08:56,480 --> 00:08:59,640 Speaker 1: but really the core of her campaign for both of 170 00:08:59,679 --> 00:09:02,840 Speaker 1: them was I'm going to fix the roads. The infrastructure 171 00:09:02,880 --> 00:09:05,400 Speaker 1: is forty first in the nation. So when he says 172 00:09:05,480 --> 00:09:09,080 Speaker 1: good job, that's frustrating to us because it feels like 173 00:09:09,120 --> 00:09:11,920 Speaker 1: it's a it's just another barrier to get over. In 174 00:09:11,960 --> 00:09:14,959 Speaker 1: twenty six is that she has a high approval rating 175 00:09:15,280 --> 00:09:19,600 Speaker 1: and he's now praising her. It's interesting for her because 176 00:09:19,640 --> 00:09:23,280 Speaker 1: it's affected her both positively and negatively. I think the 177 00:09:23,840 --> 00:09:27,160 Speaker 1: JFK type Democrats are going, Okay, finally we have someone 178 00:09:27,200 --> 00:09:30,480 Speaker 1: who's willing to cross the aisle, and that really wasn't 179 00:09:30,480 --> 00:09:34,560 Speaker 1: her mo before. She is not good at this. She 180 00:09:34,760 --> 00:09:39,120 Speaker 1: has been a partisan her entire life, and it makes 181 00:09:39,160 --> 00:09:42,360 Speaker 1: her look like she's reasonable. You know, she's willing to 182 00:09:42,400 --> 00:09:44,400 Speaker 1: go and sit down with him, and she was begging 183 00:09:44,400 --> 00:09:46,800 Speaker 1: from the beginning to get in there. So I think 184 00:09:46,840 --> 00:09:50,960 Speaker 1: that also was endearing to him. You know, it's not 185 00:09:51,080 --> 00:09:55,120 Speaker 1: easy for her to be deferential to someone else and say, oh, 186 00:09:55,160 --> 00:09:58,360 Speaker 1: he's important. You could tell in the way he called 187 00:09:58,400 --> 00:10:01,960 Speaker 1: her up she wasn't prepared, and she said so she 188 00:10:02,000 --> 00:10:04,120 Speaker 1: turns to him and she looks at him and she says, 189 00:10:04,160 --> 00:10:07,480 Speaker 1: so thank you for making this announcement. She doesn't know 190 00:10:07,559 --> 00:10:10,000 Speaker 1: how to be a leader when it comes to speaking. 191 00:10:10,360 --> 00:10:12,040 Speaker 1: She should have looked at the crowd and said, we're 192 00:10:12,120 --> 00:10:14,760 Speaker 1: very grateful to the president for coming out here, for 193 00:10:14,880 --> 00:10:17,560 Speaker 1: doing this for us, you know, the saves and she 194 00:10:17,600 --> 00:10:20,760 Speaker 1: could have had the numbers. This is an eight hundred 195 00:10:20,800 --> 00:10:24,200 Speaker 1: million dollars annually to this community. It's a huge impact. 196 00:10:24,280 --> 00:10:27,280 Speaker 1: It's five thousand jobs. We're very grateful to the president 197 00:10:27,400 --> 00:10:30,920 Speaker 1: for finally taking selfridge. Seriously, we've been working on this 198 00:10:30,960 --> 00:10:34,959 Speaker 1: for years. Her staff doesn't prepare her. But she's changed 199 00:10:35,160 --> 00:10:38,240 Speaker 1: since twenty two and twenty four. She's changed just in 200 00:10:38,280 --> 00:10:41,000 Speaker 1: this short period of time with him being president. So 201 00:10:41,040 --> 00:10:42,880 Speaker 1: what does that say about him as a leader that 202 00:10:42,960 --> 00:10:44,560 Speaker 1: he took her in there and you can see a 203 00:10:44,559 --> 00:10:45,280 Speaker 1: difference in her. 204 00:10:45,880 --> 00:10:48,960 Speaker 2: Well, he's he's ultimately he's a deal maker and so 205 00:10:49,040 --> 00:10:52,760 Speaker 2: he and he wants wins, and she is a if 206 00:10:52,840 --> 00:10:55,760 Speaker 2: you look at the rankings, she's a popular democratic governor. 207 00:10:56,440 --> 00:10:59,480 Speaker 2: And so if there's this sort of bipartisan thing that 208 00:10:59,520 --> 00:11:01,800 Speaker 2: he can do in a state that matters to him, 209 00:11:01,840 --> 00:11:04,080 Speaker 2: in a county that matters to him, a comb county, 210 00:11:04,640 --> 00:11:06,880 Speaker 2: you know, I think he's going to do that because 211 00:11:07,360 --> 00:11:10,800 Speaker 2: I think to some degree he's you know, he's thinking 212 00:11:10,880 --> 00:11:15,480 Speaker 2: about his legacy and what is good for the country. Now, she, 213 00:11:16,160 --> 00:11:18,600 Speaker 2: I think, is a different story because she wants to 214 00:11:18,640 --> 00:11:22,760 Speaker 2: run for president. That's been very obvious, and she's now 215 00:11:22,760 --> 00:11:25,079 Speaker 2: in this situation. But at the same time, and you 216 00:11:25,080 --> 00:11:29,080 Speaker 2: you wrote a column about this, at the same time, 217 00:11:29,200 --> 00:11:33,200 Speaker 2: she's addicted to federal money. She wants federal money for 218 00:11:33,240 --> 00:11:35,960 Speaker 2: any project she can possibly get, and well, where does 219 00:11:36,000 --> 00:11:39,040 Speaker 2: she go to get that? She goes to Trump, And 220 00:11:39,080 --> 00:11:42,760 Speaker 2: so she's got to get things from him in order 221 00:11:42,800 --> 00:11:46,560 Speaker 2: to get you some wins for herself. And so she 222 00:11:46,800 --> 00:11:49,040 Speaker 2: is in this situation where she can't be too mean, 223 00:11:49,559 --> 00:11:53,040 Speaker 2: she can't say things that are too not nice and 224 00:11:53,360 --> 00:11:56,720 Speaker 2: offend him and not get what she wants. So she 225 00:11:57,000 --> 00:12:00,120 Speaker 2: is she's sort of very hot and cold, whether it 226 00:12:00,360 --> 00:12:03,240 Speaker 2: is you know, he's saying nice things about her, but 227 00:12:03,320 --> 00:12:06,640 Speaker 2: then she's covering her face with the folder in the office, 228 00:12:07,080 --> 00:12:07,800 Speaker 2: and then she's. 229 00:12:07,640 --> 00:12:13,640 Speaker 1: Embracing immature politician. She is truly a politician. She's been 230 00:12:13,679 --> 00:12:16,120 Speaker 1: a politician her whole life. And I think that's critical 231 00:12:16,160 --> 00:12:19,240 Speaker 1: here too. He's been negotiating his whole life He makes 232 00:12:19,280 --> 00:12:21,719 Speaker 1: deals his whole life. He knows how to work this. 233 00:12:22,440 --> 00:12:24,840 Speaker 1: She hasn't really had to. You know, when you are 234 00:12:24,880 --> 00:12:27,560 Speaker 1: in the legislature, you're dealing with a very small group 235 00:12:27,600 --> 00:12:30,600 Speaker 1: of people and you're trying to figure out how to 236 00:12:30,600 --> 00:12:34,319 Speaker 1: manipulate your own leader. And that's the whole time. It's 237 00:12:34,440 --> 00:12:36,920 Speaker 1: just a few people that you're dealing with. He's dealt 238 00:12:36,960 --> 00:12:40,079 Speaker 1: with people across the globe. He's in a different position 239 00:12:40,160 --> 00:12:42,200 Speaker 1: than she is. She's figuring out what it is to 240 00:12:42,200 --> 00:12:45,280 Speaker 1: deal with someone on a higher level, because as governor 241 00:12:45,400 --> 00:12:48,120 Speaker 1: she really hasn't done that. He was in office the 242 00:12:48,120 --> 00:12:52,600 Speaker 1: first time, when she was at the beginning of her term, 243 00:12:53,000 --> 00:12:54,920 Speaker 1: she wouldn't deal with him at all then because she 244 00:12:55,080 --> 00:12:58,200 Speaker 1: was still so partisan that she was just on the attack. 245 00:12:58,320 --> 00:13:01,320 Speaker 1: She was very immature as it as a governor, and 246 00:13:01,400 --> 00:13:03,560 Speaker 1: so she didn't she didn't let him in at all. 247 00:13:03,760 --> 00:13:07,400 Speaker 1: And then COVID hit and let's be honest, there wasn't 248 00:13:07,559 --> 00:13:10,040 Speaker 1: anybody talking to Biden. Now it's come out, the truth 249 00:13:10,120 --> 00:13:12,840 Speaker 1: is he wasn't even in there. So you know, she 250 00:13:12,960 --> 00:13:15,720 Speaker 1: knew that. You know that she the selfrage thing wasn't 251 00:13:15,760 --> 00:13:17,839 Speaker 1: going to go anywhere because she didn't know the right 252 00:13:17,880 --> 00:13:19,840 Speaker 1: people in the Pentagon to talk to at that point, 253 00:13:19,880 --> 00:13:22,839 Speaker 1: because it wasn't him. It wasn't going to be him. 254 00:13:23,320 --> 00:13:26,040 Speaker 1: Now she's in and new she's having a new experience 255 00:13:26,120 --> 00:13:29,960 Speaker 1: where she's decided to go directly to him. Says a 256 00:13:30,000 --> 00:13:33,720 Speaker 1: lot about him. She has trashed him. I mean she 257 00:13:33,800 --> 00:13:35,400 Speaker 1: trashed him the whole campaign. She was one of the 258 00:13:35,480 --> 00:13:39,440 Speaker 1: leaders on their side going around the country. Regardless of 259 00:13:39,480 --> 00:13:42,800 Speaker 1: her silly social media videos, she traveled around. She hasn't 260 00:13:42,800 --> 00:13:44,600 Speaker 1: been in the state of Michigan in a year. She 261 00:13:44,679 --> 00:13:48,040 Speaker 1: traveled around this country trying to get him to make 262 00:13:48,040 --> 00:13:50,400 Speaker 1: sure he didn't get an office. I think she's the 263 00:13:50,440 --> 00:13:52,079 Speaker 1: first Democrat governor he met with. 264 00:13:52,640 --> 00:13:55,720 Speaker 2: Yeah, she is. And she was a co chair for Biden, 265 00:13:55,840 --> 00:13:59,080 Speaker 2: and she was a co chair for Kamala so and 266 00:13:59,160 --> 00:14:02,320 Speaker 2: she was a vice chair the DNC when when Trump 267 00:14:02,440 --> 00:14:05,960 Speaker 2: was president. And don't forget the timeline here. So she 268 00:14:06,080 --> 00:14:09,719 Speaker 2: was elected in twenty eighteen, she took office in January 269 00:14:09,760 --> 00:14:13,640 Speaker 2: of twenty nineteen, and then the pandemic hits in twenty 270 00:14:13,679 --> 00:14:17,360 Speaker 2: twenty and then but then you're coming up to the 271 00:14:17,400 --> 00:14:22,000 Speaker 2: twenty twenty election and she's maneuvering to be Biden's vice 272 00:14:22,080 --> 00:14:26,400 Speaker 2: president well, so then she's making very partisan statements about Trump, 273 00:14:26,440 --> 00:14:29,320 Speaker 2: and she's going to you know, fight Trump because she 274 00:14:29,480 --> 00:14:32,200 Speaker 2: wants to be the running mate, which then obviously means 275 00:14:32,320 --> 00:14:35,280 Speaker 2: she at some point would be the nominee. And so 276 00:14:36,360 --> 00:14:38,880 Speaker 2: that that has been sort of the whole you know, 277 00:14:38,960 --> 00:14:42,360 Speaker 2: her whole mo. But now she's in a situation where 278 00:14:42,800 --> 00:14:45,800 Speaker 2: I think she's sort of trying to play I wouldn't 279 00:14:45,840 --> 00:14:48,800 Speaker 2: say the middle, but she's sort of in Democrat terms, 280 00:14:48,800 --> 00:14:52,080 Speaker 2: she's more of a moderate. That's I think she's she's 281 00:14:52,480 --> 00:14:54,440 Speaker 2: trying to show that she can work with other people. 282 00:14:54,640 --> 00:14:57,640 Speaker 1: Stick around for more of my conversation with Kyle Olsen 283 00:14:57,680 --> 00:15:00,240 Speaker 1: from The Midwesterner. But first, let me tell you a 284 00:15:00,280 --> 00:15:04,200 Speaker 1: great story about my partners at Genucel. It's heartwarming and 285 00:15:04,400 --> 00:15:08,040 Speaker 1: refreshingly true. 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Think about how that would 318 00:16:52,520 --> 00:16:56,040 Speaker 1: have changed the trajectory of the election. Had she been 319 00:16:56,040 --> 00:16:58,400 Speaker 1: the vice president, it would have been a really different 320 00:16:58,480 --> 00:17:03,480 Speaker 1: story in the presidential race. Because she is liked. I 321 00:17:03,480 --> 00:17:06,800 Speaker 1: think she does. I mean her numbers say that she's liked. 322 00:17:06,880 --> 00:17:08,800 Speaker 1: I think that there would have been a huge machine 323 00:17:08,840 --> 00:17:11,760 Speaker 1: behind her. That would have been a genuine machine, you know. 324 00:17:11,800 --> 00:17:14,679 Speaker 1: I think people would have believed in her like the 325 00:17:14,720 --> 00:17:17,000 Speaker 1: Beyonces of the world. It wouldn't have been paid gigs. 326 00:17:17,160 --> 00:17:21,040 Speaker 2: Well look at she probably well she may have won Michigan. 327 00:17:21,320 --> 00:17:23,680 Speaker 2: She would have had a better chance of winning Michigan. 328 00:17:23,880 --> 00:17:26,520 Speaker 1: And now and now people are saying Michigan is the 329 00:17:26,560 --> 00:17:29,520 Speaker 1: key to twenty eight, and Trump knows that. I think 330 00:17:29,560 --> 00:17:31,440 Speaker 1: he knows it's the key to twenty six and twenty 331 00:17:31,520 --> 00:17:33,199 Speaker 1: eight because he has to make sure he holds the 332 00:17:33,200 --> 00:17:35,560 Speaker 1: house in the Senate, so he's going to spend time here. 333 00:17:35,560 --> 00:17:39,560 Speaker 1: They're going to put a focus on Michigan. They also 334 00:17:39,640 --> 00:17:43,040 Speaker 1: know in twenty eight if she runs, Michigan's going to 335 00:17:43,080 --> 00:17:44,760 Speaker 1: go for her. I mean, I would love to say 336 00:17:44,760 --> 00:17:47,480 Speaker 1: that's not the case, but she has a high approval rating. 337 00:17:47,560 --> 00:17:49,959 Speaker 1: They calculate this stuff all the time, that he has 338 00:17:50,000 --> 00:17:53,119 Speaker 1: a very intelligent team. They're watching what's going on. The 339 00:17:53,160 --> 00:17:54,960 Speaker 1: Democrats are going to be watching because they've got this 340 00:17:55,040 --> 00:17:57,800 Speaker 1: situation now where AOC is taking up all the air 341 00:17:57,880 --> 00:18:01,880 Speaker 1: in the room. She's out there painting already for president. 342 00:18:02,200 --> 00:18:05,800 Speaker 1: She has these massive rallies. Whitmer has a few problems. 343 00:18:06,040 --> 00:18:11,000 Speaker 1: She doesn't understand the negotiations. She doesn't understand how to 344 00:18:11,040 --> 00:18:13,240 Speaker 1: talk about things. She's never had to. She lives in 345 00:18:13,240 --> 00:18:16,040 Speaker 1: a state where she's never had to do what Trump did, 346 00:18:16,040 --> 00:18:18,320 Speaker 1: where he went around the country and did these podcasts. 347 00:18:18,480 --> 00:18:21,520 Speaker 1: When she has been in these longer, longer form interviews, 348 00:18:21,920 --> 00:18:27,000 Speaker 1: she's come off as a very immature, not a leader, 349 00:18:27,280 --> 00:18:30,880 Speaker 1: very immature spokesperson, Like she's more of a spokesperson than 350 00:18:30,920 --> 00:18:33,119 Speaker 1: someone who can get dived deep into the issues and 351 00:18:33,200 --> 00:18:35,520 Speaker 1: understand it. I think that's how the state got into 352 00:18:35,520 --> 00:18:38,000 Speaker 1: this situation that we're in, where we have these high 353 00:18:38,080 --> 00:18:41,480 Speaker 1: energy costs, we have all of this regulation. My gosh, 354 00:18:41,520 --> 00:18:43,840 Speaker 1: even like this latest thing where they're going to gas 355 00:18:43,840 --> 00:18:47,360 Speaker 1: the geese, that's the choice that you're making. Like we 356 00:18:47,480 --> 00:18:50,320 Speaker 1: have a problem with massive amount of Canadian geese, and 357 00:18:50,400 --> 00:18:53,040 Speaker 1: so she's like, we're going to take them to gas 358 00:18:53,119 --> 00:18:54,520 Speaker 1: chambers and gas them. 359 00:18:54,560 --> 00:18:57,639 Speaker 2: That's ways the right poison them, and don't forget. She 360 00:18:57,760 --> 00:19:01,520 Speaker 2: also wanted to tear down state forest to put up 361 00:19:01,560 --> 00:19:02,880 Speaker 2: solar panels right. 362 00:19:02,960 --> 00:19:06,520 Speaker 1: Right in a state where it snows half the year, right. 363 00:19:06,640 --> 00:19:10,880 Speaker 1: I mean, these are not reasonable decisions. She's very easily 364 00:19:10,920 --> 00:19:14,320 Speaker 1: swayed by whoever's giving her money. I think that's a danger. 365 00:19:14,359 --> 00:19:17,960 Speaker 1: But she's also even yesterday when she did get to speak, 366 00:19:18,000 --> 00:19:20,159 Speaker 1: she comes in and she goes, I'm so damn happy. 367 00:19:20,200 --> 00:19:22,080 Speaker 1: This is a new thing too. On their side is 368 00:19:22,240 --> 00:19:24,240 Speaker 1: as much as we can swear, as much as we 369 00:19:24,240 --> 00:19:26,399 Speaker 1: can try to sound cool to the young people, And 370 00:19:26,440 --> 00:19:29,800 Speaker 1: for some reason she finds that to be like the 371 00:19:29,880 --> 00:19:32,880 Speaker 1: cool thing to do, to come out and just curse. Then, 372 00:19:33,240 --> 00:19:36,679 Speaker 1: when I was working by the people that I work for, 373 00:19:36,680 --> 00:19:39,280 Speaker 1: I remember one guy specifically saying, like, you're never going 374 00:19:39,359 --> 00:19:43,000 Speaker 1: to win people over by cursing. That is a low 375 00:19:43,040 --> 00:19:45,120 Speaker 1: blow and you're not going to You are not going 376 00:19:45,200 --> 00:19:47,960 Speaker 1: to not just win people over, but you are not 377 00:19:48,080 --> 00:19:50,840 Speaker 1: going to inspire people to work harder if you just 378 00:19:50,880 --> 00:19:54,199 Speaker 1: start swearing at them. And that's something I don't think 379 00:19:54,240 --> 00:19:56,960 Speaker 1: Democrats have figured out. But this is what she told 380 00:19:57,000 --> 00:19:59,800 Speaker 1: the Detroit News. So she said, I've been working on 381 00:19:59,840 --> 00:20:02,560 Speaker 1: this the whole time I've been governor, Wentm're told the 382 00:20:02,560 --> 00:20:05,640 Speaker 1: Detroit News. Sure enough, we got the best case scenario. 383 00:20:05,760 --> 00:20:08,240 Speaker 1: We're really happy with this news. It's a huge. It's 384 00:20:08,320 --> 00:20:11,439 Speaker 1: huge for the Michigan economy, for our aerospace industry, for 385 00:20:11,520 --> 00:20:14,359 Speaker 1: all the men and women who work on and around Selfridge. 386 00:20:14,920 --> 00:20:20,320 Speaker 1: Is this recapitalization is a b FD And then she 387 00:20:20,400 --> 00:20:24,480 Speaker 1: said big future deal, you know, but we know what 388 00:20:24,560 --> 00:20:28,320 Speaker 1: she actually meant by that. Again, I think that maybe 389 00:20:28,320 --> 00:20:31,240 Speaker 1: I'm wrong, but I think this level of immaturity and 390 00:20:31,680 --> 00:20:34,800 Speaker 1: playing and pushing toward the edge. She's trying to keep 391 00:20:34,840 --> 00:20:38,000 Speaker 1: the far left while she's trying to say she's a moderate, 392 00:20:38,320 --> 00:20:40,600 Speaker 1: but maybe she sees Slockin and she goes man. 393 00:20:40,640 --> 00:20:44,720 Speaker 2: It worked for her, Yeah, but it's different because Slackin 394 00:20:45,600 --> 00:20:51,760 Speaker 2: did not have a primary to speak of. And what 395 00:20:51,760 --> 00:20:54,159 Speaker 2: we're seeing across the country is a base of the 396 00:20:54,160 --> 00:21:00,760 Speaker 2: Democrat Party is wildly anti Trump. Hates his guts there protesting. 397 00:21:01,000 --> 00:21:05,119 Speaker 2: I mean they're literally burning tesla's, they're burning electric cars 398 00:21:05,200 --> 00:21:08,080 Speaker 2: because they hate the guy so much. And so this 399 00:21:08,240 --> 00:21:11,760 Speaker 2: idea that you know, she's going to sort of play 400 00:21:11,800 --> 00:21:14,359 Speaker 2: foot seat with Trump and that's going to translate in 401 00:21:14,440 --> 00:21:17,520 Speaker 2: the Democrat primary, I don't know. Maybe maybe it will, 402 00:21:17,640 --> 00:21:22,480 Speaker 2: Maybe there's a certain sector of you know, Democrat primary 403 00:21:22,520 --> 00:21:25,359 Speaker 2: voters that will go for that. But it just seems 404 00:21:25,359 --> 00:21:31,040 Speaker 2: to me like having a Republican like Trump praising a 405 00:21:31,119 --> 00:21:33,880 Speaker 2: Democrat governor like Whitmer is not going to end well 406 00:21:33,920 --> 00:21:36,800 Speaker 2: because think about the opposite. Think about if there was 407 00:21:36,840 --> 00:21:41,040 Speaker 2: a Joe Biden or a Barack Obama that was praising 408 00:21:41,160 --> 00:21:46,160 Speaker 2: a Republican Canada potential Republican candidate for president. Would any 409 00:21:46,320 --> 00:21:50,639 Speaker 2: Republican voter primary voter really look at that candidate and go, 410 00:21:50,760 --> 00:21:54,240 Speaker 2: you know what, I think Biden or Obama they're right, 411 00:21:54,600 --> 00:21:56,560 Speaker 2: and maybe we should take that person's areas. 412 00:21:56,640 --> 00:21:59,800 Speaker 1: And I think that's the calculation that from the president's 413 00:21:59,800 --> 00:22:03,320 Speaker 1: team is, well, if you get her close enough to him, 414 00:22:03,800 --> 00:22:07,040 Speaker 1: you know she's playing on her side, playing with buyers. 415 00:22:07,080 --> 00:22:09,840 Speaker 1: She's going to get burned. You've got this political group 416 00:22:09,920 --> 00:22:12,520 Speaker 1: called five zero five zero one. I don't know what 417 00:22:12,640 --> 00:22:15,560 Speaker 1: that is, some political group out there that's like a 418 00:22:15,640 --> 00:22:19,240 Speaker 1: leftist group. They call this destructive enabling behavior. So she's 419 00:22:19,280 --> 00:22:23,560 Speaker 1: getting attacked. It's not going well for her, like you said, 420 00:22:24,080 --> 00:22:26,120 Speaker 1: and I mean, I guess I am not calculating that 421 00:22:26,119 --> 00:22:30,080 Speaker 1: that she has a massive primary in the presidential and 422 00:22:30,119 --> 00:22:32,480 Speaker 1: as soon as those people can connect her to Trump 423 00:22:32,600 --> 00:22:35,240 Speaker 1: like she loves Trump, she's that's not going to work 424 00:22:35,240 --> 00:22:37,439 Speaker 1: for her. And Sluckin didn't have that, so that is 425 00:22:37,760 --> 00:22:41,560 Speaker 1: a different calculation for those two. The Seneca Project, they 426 00:22:41,600 --> 00:22:44,000 Speaker 1: come out and said this is disqualifying for her. She 427 00:22:44,080 --> 00:22:47,520 Speaker 1: has disqualified herself for president. So you've already got some 428 00:22:47,640 --> 00:22:51,520 Speaker 1: leftists that are saying that she's disqualified herself. You've got 429 00:22:51,760 --> 00:22:55,600 Speaker 1: this guy who is the CEO of a news organization 430 00:22:55,760 --> 00:22:59,840 Speaker 1: that posted far right extremists, tried to kidnap Whitmer. Trump 431 00:22:59,840 --> 00:23:02,240 Speaker 1: and self later suggested it was a fake plot and 432 00:23:02,280 --> 00:23:05,000 Speaker 1: mocked it. He called her that woman in Michigan and 433 00:23:05,080 --> 00:23:07,040 Speaker 1: led a crowd that chant to lock her up. Today, 434 00:23:07,040 --> 00:23:09,720 Speaker 1: Whitmer hugged him on the tarmac. This is why Dems lose. 435 00:23:11,000 --> 00:23:13,760 Speaker 2: Yeah, maybe that's why they lose, or maybe she knows 436 00:23:13,840 --> 00:23:18,119 Speaker 2: the reality of the plot quote plot. 437 00:23:19,000 --> 00:23:21,359 Speaker 1: I think that she had no choice. 438 00:23:22,720 --> 00:23:27,040 Speaker 2: Again, if you're addicted. He knows, he knows her weakness. 439 00:23:27,320 --> 00:23:31,480 Speaker 2: He knows how to identify people's weaknesses, and he knows 440 00:23:31,560 --> 00:23:36,000 Speaker 2: her weakness is federal money, because she's so desperate to 441 00:23:36,080 --> 00:23:38,080 Speaker 2: keep spending going that she wants more. 442 00:23:38,160 --> 00:23:41,080 Speaker 1: But also press releases. She loves the press release that 443 00:23:41,119 --> 00:23:44,359 Speaker 1: says Whitmer did this and this many jobs coming or 444 00:23:44,359 --> 00:23:47,040 Speaker 1: this many jobs saved. And that was something that one 445 00:23:47,119 --> 00:23:49,919 Speaker 1: of the groups just did. I think it was. Bridge 446 00:23:50,040 --> 00:23:54,960 Speaker 1: just wrote an article saying that she has had she 447 00:23:55,080 --> 00:23:58,040 Speaker 1: promised sixty thousand jobs, she ended up with thirteen thousand 448 00:23:58,040 --> 00:24:00,080 Speaker 1: for this billion dollars in money that she gave it 449 00:24:00,160 --> 00:24:05,200 Speaker 1: out well right, right exactly. But they actually pointed out, 450 00:24:05,240 --> 00:24:09,800 Speaker 1: which I was impressed. They pointed out that she was 451 00:24:09,880 --> 00:24:13,400 Speaker 1: always quick to put out promised jobs, right, but then 452 00:24:13,520 --> 00:24:17,560 Speaker 1: never naged yes or announced, but yes, announced, but never 453 00:24:17,720 --> 00:24:19,600 Speaker 1: came back and said, oh, those jobs didn't. 454 00:24:19,400 --> 00:24:21,040 Speaker 2: Actually come because she just moves on. 455 00:24:21,680 --> 00:24:24,679 Speaker 1: But this is a this to her, the press release 456 00:24:24,800 --> 00:24:26,680 Speaker 1: is worth it, the news is worth it, and she's 457 00:24:26,880 --> 00:24:30,040 Speaker 1: she's been good about not talking to the news in Michigan. 458 00:24:30,119 --> 00:24:33,879 Speaker 1: I say good because that's what keeps her approval rating up. 459 00:24:33,960 --> 00:24:36,720 Speaker 1: She knows that if she doesn't talk to local news, 460 00:24:37,040 --> 00:24:39,320 Speaker 1: she can keep her approval rating up. So when people 461 00:24:39,320 --> 00:24:41,880 Speaker 1: are looking at these races, and the reason we're's going 462 00:24:41,880 --> 00:24:44,600 Speaker 1: into so much detail about this is because I do 463 00:24:44,640 --> 00:24:47,399 Speaker 1: think a lot of Republicans went, WHOA, what did Trump do? 464 00:24:47,800 --> 00:24:51,960 Speaker 1: I think Trump is very smart about how he manages 465 00:24:52,080 --> 00:24:54,200 Speaker 1: everything that he does. So he comes into the state, 466 00:24:54,520 --> 00:24:58,280 Speaker 1: he knows that he helps Michigan. The only thing that's 467 00:24:58,320 --> 00:25:03,560 Speaker 1: interesting is that you have some state reps. John James 468 00:25:03,640 --> 00:25:05,879 Speaker 1: is one who's running for governor in the state, and 469 00:25:05,960 --> 00:25:10,400 Speaker 1: he has said that he was fighting for Selfridge, but 470 00:25:10,440 --> 00:25:13,359 Speaker 1: that didn't Trump was not praising him, which I thought 471 00:25:13,400 --> 00:25:16,880 Speaker 1: was interesting that he chose not to put a Republican 472 00:25:16,960 --> 00:25:19,760 Speaker 1: on stage and say you did this, I think he 473 00:25:19,800 --> 00:25:22,880 Speaker 1: truly made the deal with Whitmer himself. I don't think 474 00:25:22,880 --> 00:25:25,160 Speaker 1: that this came from anything from the past. I think 475 00:25:25,240 --> 00:25:27,679 Speaker 1: she went there, they sat down and talked about this, 476 00:25:28,000 --> 00:25:32,160 Speaker 1: and Trump is crediting her, and he wants to keep 477 00:25:32,240 --> 00:25:35,560 Speaker 1: everything else out of it other than they made a 478 00:25:35,600 --> 00:25:38,840 Speaker 1: bipartisan deal. And in some cases, I don't think Trump 479 00:25:38,880 --> 00:25:40,760 Speaker 1: is partisan at all. He's just a deal maker. 480 00:25:40,920 --> 00:25:43,640 Speaker 2: He's a deal maker. And again, what I think could 481 00:25:43,720 --> 00:25:47,320 Speaker 2: be happening here is that he's getting a win. He's 482 00:25:47,480 --> 00:25:50,680 Speaker 2: you know, cozying up to her, so he looks like 483 00:25:50,720 --> 00:25:54,360 Speaker 2: it's sort of you know, rounding his rough edges, and 484 00:25:54,920 --> 00:25:59,320 Speaker 2: it's probably tanking her career because again, if she wants 485 00:25:59,359 --> 00:26:02,520 Speaker 2: to go into a Democrat primary where you have people 486 00:26:02,640 --> 00:26:04,960 Speaker 2: just foaming at the mouth about you know, Trump is 487 00:26:05,080 --> 00:26:07,399 Speaker 2: and they're saying all these terrible things. Everybody knows what 488 00:26:07,440 --> 00:26:13,320 Speaker 2: we're talking about, and here she is literally hugging him. 489 00:26:13,720 --> 00:26:17,119 Speaker 2: That's unless there is a Unless she is calculating that 490 00:26:17,160 --> 00:26:19,960 Speaker 2: there's going to be so many anti Trump candidates in 491 00:26:20,080 --> 00:26:25,200 Speaker 2: a Democrat primary. Newsome Pritzker, you just go right down 492 00:26:25,240 --> 00:26:29,240 Speaker 2: the list therein there's a tiny little sliver of Democrat 493 00:26:29,320 --> 00:26:34,359 Speaker 2: voters who are willing to be more bipartisan than you know, 494 00:26:34,520 --> 00:26:37,760 Speaker 2: burn down Trump. Maybe she's saying, that's the little sliver, 495 00:26:37,880 --> 00:26:40,080 Speaker 2: that's the lane I can run in, and that's what 496 00:26:40,119 --> 00:26:42,200 Speaker 2: I can use to try and win a primary. I 497 00:26:42,840 --> 00:26:43,479 Speaker 2: just don't see it. 498 00:26:43,560 --> 00:26:46,880 Speaker 1: We've got more coming out after this. But you make 499 00:26:46,920 --> 00:26:50,240 Speaker 1: a good point, because there is there's a diverse group 500 00:26:50,440 --> 00:26:53,959 Speaker 1: of haters. It won't be you're running. You've got AOC 501 00:26:54,040 --> 00:26:58,040 Speaker 1: who's a total, full bone socialist. She takes that group 502 00:26:58,440 --> 00:26:59,960 Speaker 1: that could have gone to new some that could have 503 00:27:00,040 --> 00:27:03,160 Speaker 1: down to Pritzker. She takes that group and pulls them 504 00:27:03,200 --> 00:27:06,440 Speaker 1: off completely. And that's not enough to win. And then 505 00:27:06,440 --> 00:27:08,760 Speaker 1: who what is Newsom have left? The real true Trump 506 00:27:08,800 --> 00:27:12,160 Speaker 1: haters that don't believe in socialism. He takes that group, 507 00:27:12,240 --> 00:27:16,439 Speaker 1: not enough to win. Maybe those traditional Democrats go with 508 00:27:16,440 --> 00:27:19,479 Speaker 1: Whitmer because there's no other choice, and she gets them, 509 00:27:19,480 --> 00:27:22,320 Speaker 1: and that's her calculation. There's no part of me that 510 00:27:22,320 --> 00:27:26,120 Speaker 1: doesn't think she's calculating right now because she is that 511 00:27:26,200 --> 00:27:29,920 Speaker 1: she's always run for the next position. She's never run, 512 00:27:30,320 --> 00:27:32,840 Speaker 1: and she's never been in her position cared about it. 513 00:27:33,080 --> 00:27:35,280 Speaker 1: And I think that what people need to know is 514 00:27:35,320 --> 00:27:39,800 Speaker 1: that she is a master gas layer. I mean all 515 00:27:39,800 --> 00:27:42,080 Speaker 1: of her ads were filled with lies. All of her 516 00:27:42,160 --> 00:27:45,280 Speaker 1: videos are filled with lies, and she just tells you 517 00:27:45,280 --> 00:27:48,520 Speaker 1: you should be happy living here because this is I've 518 00:27:48,520 --> 00:27:50,720 Speaker 1: done all these great things. The roads are fixed. The 519 00:27:50,800 --> 00:27:53,720 Speaker 1: roads aren't fixed. Like I said, forty first in infrastructure, 520 00:27:53,880 --> 00:27:58,000 Speaker 1: but first across the board. Education's a mess. Crime is 521 00:27:58,040 --> 00:28:00,280 Speaker 1: a mess. We have five of the most dangerous, twenty 522 00:28:00,280 --> 00:28:03,040 Speaker 1: most dangerous cities in the country. Like the state is 523 00:28:03,080 --> 00:28:06,320 Speaker 1: a mess, and that's where the American people can't be 524 00:28:06,440 --> 00:28:08,680 Speaker 1: gas lit by what she's doing with Trump. I think 525 00:28:08,720 --> 00:28:12,800 Speaker 1: she also thinks she can win over the middle and 526 00:28:12,840 --> 00:28:15,840 Speaker 1: she probably figures a lot of these Trump voters. We 527 00:28:15,920 --> 00:28:18,199 Speaker 1: know they come out for Trump only. Maybe she can 528 00:28:18,240 --> 00:28:18,760 Speaker 1: win them over. 529 00:28:19,720 --> 00:28:22,440 Speaker 2: Maybe, But I just doubt it, and. 530 00:28:22,640 --> 00:28:25,080 Speaker 1: I don't think she can. I think she's arrogant enough 531 00:28:25,119 --> 00:28:25,680 Speaker 1: to think she can. 532 00:28:26,200 --> 00:28:30,960 Speaker 2: Well, I think she'll be sorely mistaken. You know, there's 533 00:28:31,000 --> 00:28:35,440 Speaker 2: a site that the Midwesterner reads a lot called wallet Hub, 534 00:28:35,960 --> 00:28:38,200 Speaker 2: and it's rankings of all kinds of different I mean, 535 00:28:38,200 --> 00:28:42,000 Speaker 2: you cited the forty first for education. We just wrote 536 00:28:42,000 --> 00:28:45,360 Speaker 2: a story or published a story about Michigan is thirty 537 00:28:45,400 --> 00:28:49,560 Speaker 2: fifth for working moms, and here you've got three working 538 00:28:49,640 --> 00:28:53,400 Speaker 2: moms as the governor, the Secretary of State, and the 539 00:28:53,440 --> 00:28:58,360 Speaker 2: attorney general and the Senate Majority leader, and yet Michigan's 540 00:28:58,400 --> 00:29:01,880 Speaker 2: thirty fifth. There was a story today that Michigan is 541 00:29:01,920 --> 00:29:05,600 Speaker 2: eleventh for drug problems, so at least we're sort of 542 00:29:05,880 --> 00:29:07,760 Speaker 2: high up in the rankings for something. I'm not sure 543 00:29:07,800 --> 00:29:10,720 Speaker 2: drug problems is something that we should be proud of now. 544 00:29:11,360 --> 00:29:14,680 Speaker 2: But the point is she ignores all of these things. 545 00:29:14,800 --> 00:29:19,760 Speaker 2: She doesn't engage with the media. She will just pretend 546 00:29:19,800 --> 00:29:22,920 Speaker 2: like everything is great. And I guess when you do that, 547 00:29:23,320 --> 00:29:28,440 Speaker 2: you're not fixing problems, but your approval rating remains high. 548 00:29:28,560 --> 00:29:31,400 Speaker 2: So I suppose, for a self serving reason, that's a 549 00:29:31,440 --> 00:29:34,800 Speaker 2: good thing. But there's a whole lot of problems going 550 00:29:34,800 --> 00:29:37,880 Speaker 2: on in Michigan, and she just is I mean, she 551 00:29:37,960 --> 00:29:41,640 Speaker 2: literally I didn't know she travels so much that I 552 00:29:41,640 --> 00:29:44,400 Speaker 2: think people don't even pay attention to it anymore. But 553 00:29:44,480 --> 00:29:47,040 Speaker 2: I read on Monday morning that she was in Los 554 00:29:47,080 --> 00:29:50,640 Speaker 2: Angeles over the weekend for a book festival, and she 555 00:29:50,840 --> 00:29:54,640 Speaker 2: ironically said, I'm not going anywhere. And she said that 556 00:29:55,200 --> 00:29:58,520 Speaker 2: when she's twenty two hundred miles away from Michigan and 557 00:29:58,760 --> 00:30:04,320 Speaker 2: the Michigan media. The Midwesterner wrote about it based on 558 00:30:04,880 --> 00:30:08,160 Speaker 2: a report from the La Times, which did an interview 559 00:30:08,160 --> 00:30:10,440 Speaker 2: with her. The Michigan media didn't even cover it. 560 00:30:10,520 --> 00:30:11,959 Speaker 1: But well, i mean, what does she even mean by 561 00:30:12,000 --> 00:30:14,560 Speaker 1: I'm not going anywhere? I mean she's got two years 562 00:30:14,640 --> 00:30:16,840 Speaker 1: left of her term. She can't run for anything before 563 00:30:16,880 --> 00:30:18,920 Speaker 1: that anyway, So of course she's not going anywhere. She's 564 00:30:18,960 --> 00:30:20,760 Speaker 1: going to finish out her term. I mean, that's the 565 00:30:20,800 --> 00:30:23,760 Speaker 1: thing she's and that's the thing that they lap up like, oh, 566 00:30:23,840 --> 00:30:26,640 Speaker 1: that's great. Well, she's been going somewhere every time there's 567 00:30:26,680 --> 00:30:29,080 Speaker 1: been an opportunity. She's just been thrown to the side. 568 00:30:29,160 --> 00:30:31,560 Speaker 1: You know, she would have gladly gone to Washington and 569 00:30:31,600 --> 00:30:34,160 Speaker 1: been his vice president, but she was thrown to the side. 570 00:30:34,400 --> 00:30:36,880 Speaker 1: The other thing I'll say before we end is you 571 00:30:36,920 --> 00:30:39,840 Speaker 1: brought up the other people in the state. They're not happy. 572 00:30:40,400 --> 00:30:42,160 Speaker 1: They are all these people that are running for office. 573 00:30:42,200 --> 00:30:45,160 Speaker 1: They are in primaries. Josin Benson's in a primary with 574 00:30:45,320 --> 00:30:50,040 Speaker 1: the lieutenant governor for governor. She is not happy. She's 575 00:30:50,040 --> 00:30:53,200 Speaker 1: calling him out as all the bad things that they say, 576 00:30:53,280 --> 00:30:56,640 Speaker 1: dictator whatever, that you can't cozy up to him. Dana Nessel, 577 00:30:56,680 --> 00:30:58,800 Speaker 1: the attorney general, she's running her own town hall at 578 00:30:58,800 --> 00:31:01,000 Speaker 1: the same time that he's here. I mean, they are 579 00:31:01,200 --> 00:31:03,760 Speaker 1: frustrated with whitmerk Dana Essa when we were at the 580 00:31:03,800 --> 00:31:06,000 Speaker 1: State of the State wouldn't even stand up for her. 581 00:31:06,400 --> 00:31:09,280 Speaker 1: They do not like this, and you've got a lot 582 00:31:09,320 --> 00:31:13,000 Speaker 1: of the legislature that absolutely hates Trump and they are 583 00:31:13,040 --> 00:31:16,160 Speaker 1: going to be it's a struggle because they're mad. Well, 584 00:31:16,200 --> 00:31:18,960 Speaker 1: you said, my Song, one of our state reps was 585 00:31:18,960 --> 00:31:21,600 Speaker 1: mad that they that they didn't have session. They're getting 586 00:31:21,640 --> 00:31:22,960 Speaker 1: Selfridge right. 587 00:31:23,480 --> 00:31:26,240 Speaker 2: So her name is my Song. She's a state representative 588 00:31:26,280 --> 00:31:29,560 Speaker 2: from McComb County, which is where the bases that we're 589 00:31:29,600 --> 00:31:33,600 Speaker 2: talking about. And the speaker who was with the President 590 00:31:34,520 --> 00:31:40,680 Speaker 2: at Selfridge canceled session for that day because you know, 591 00:31:40,840 --> 00:31:44,160 Speaker 2: they were other places. And so my song posts this 592 00:31:44,320 --> 00:31:48,120 Speaker 2: video from the floor of the House of Representatives complaining 593 00:31:48,160 --> 00:31:50,560 Speaker 2: that they don't have session, and. 594 00:31:50,440 --> 00:31:53,240 Speaker 1: So they in her district she's getting in. 595 00:31:53,440 --> 00:31:57,560 Speaker 2: County, Yes, her district is right there. And so it's 596 00:31:57,600 --> 00:32:00,480 Speaker 2: like what Trump has done is he is divided the 597 00:32:00,520 --> 00:32:04,600 Speaker 2: Democrats because Whitmer, as we've been talking, you know, is 598 00:32:04,640 --> 00:32:06,560 Speaker 2: doing what she can to try and get money from him. 599 00:32:06,640 --> 00:32:10,000 Speaker 2: But then you've got Jocelyn Benson, Dana Nessel, etc. Who 600 00:32:10,040 --> 00:32:12,080 Speaker 2: are just foaming at the mouth about how much they 601 00:32:12,080 --> 00:32:14,600 Speaker 2: hate him, and it's like they're trying to outdo each 602 00:32:14,640 --> 00:32:18,320 Speaker 2: other about who hates him more. And so he's got 603 00:32:18,400 --> 00:32:22,160 Speaker 2: them all and then they're you know, criticizing Whitmer, and 604 00:32:22,680 --> 00:32:24,360 Speaker 2: he's got them all fighting with each other. 605 00:32:24,600 --> 00:32:28,880 Speaker 1: It is really the genius of President Trump, because remember, 606 00:32:29,000 --> 00:32:31,160 Speaker 1: you have to get through. They all have to get 607 00:32:31,200 --> 00:32:34,640 Speaker 1: through twenty six, so he can do whatever he wants 608 00:32:34,720 --> 00:32:37,880 Speaker 1: to protect the people of Michigan. And that's his that 609 00:32:38,000 --> 00:32:41,040 Speaker 1: is really his love is the American people. And so 610 00:32:41,160 --> 00:32:44,520 Speaker 1: he is protecting the American people. He promised Michigan, he 611 00:32:44,560 --> 00:32:48,480 Speaker 1: made Michigan promises. He's coming through with them. Whitmer's gone 612 00:32:48,600 --> 00:32:51,600 Speaker 1: in twenty six. She has to start campaigning for president. 613 00:32:52,280 --> 00:32:56,000 Speaker 1: She has wrecked her brand, and then all of these 614 00:32:56,080 --> 00:32:58,560 Speaker 1: people that have said they hate him they have to 615 00:32:58,600 --> 00:33:02,920 Speaker 1: now campaign here. And he knows Slotkin was running with 616 00:33:03,040 --> 00:33:06,080 Speaker 1: him in her commercials, so he knows that he plays 617 00:33:06,080 --> 00:33:10,160 Speaker 1: well in Michigan. If you can destroy Jocelyn Benson and 618 00:33:10,400 --> 00:33:13,840 Speaker 1: Gilchrist and anybody else who's running by having them come 619 00:33:13,880 --> 00:33:17,760 Speaker 1: out now and trash Whitmer, they have no chance or 620 00:33:17,760 --> 00:33:20,480 Speaker 1: they're in trouble. I mean, the Democrats always have a 621 00:33:20,520 --> 00:33:22,160 Speaker 1: lot of money, but I think what he's doing is 622 00:33:22,240 --> 00:33:26,880 Speaker 1: very smart. Yeah, I agree, so we so that to me, 623 00:33:27,040 --> 00:33:28,719 Speaker 1: that was important to break down. I think a lot 624 00:33:28,760 --> 00:33:30,920 Speaker 1: of people have gone, oh my goodness, how can he 625 00:33:31,160 --> 00:33:33,960 Speaker 1: cozy up to Whitmer. I will say, I don't love 626 00:33:34,000 --> 00:33:36,120 Speaker 1: when he says she's doing a great job. But he 627 00:33:36,280 --> 00:33:39,680 Speaker 1: has a plan. The guy knows what he's doing. He's 628 00:33:39,680 --> 00:33:44,440 Speaker 1: been incredible these first hundred days. What you talked about 629 00:33:44,480 --> 00:33:46,320 Speaker 1: with and I know you're releasing some of that on 630 00:33:46,360 --> 00:33:48,160 Speaker 1: the Midwesterner, I just want to get that out. What 631 00:33:48,200 --> 00:33:50,760 Speaker 1: you talked about when you were in Washington at the 632 00:33:50,800 --> 00:33:53,640 Speaker 1: White House, some of the stuff about deported deporting people 633 00:33:54,320 --> 00:33:57,320 Speaker 1: that is so critical to the safety of our country 634 00:33:57,320 --> 00:34:01,280 Speaker 1: and so clear that it could happen Instantaneouslee. 635 00:34:01,280 --> 00:34:03,920 Speaker 2: It's I still can't get over the fact that it 636 00:34:03,960 --> 00:34:09,600 Speaker 2: could just happen almost instantly, and just by changing presidents 637 00:34:09,719 --> 00:34:15,080 Speaker 2: and changing policy, you had illegal crossings go from according 638 00:34:15,080 --> 00:34:20,200 Speaker 2: to Tehran, about seven thousand per day under the Biden 639 00:34:20,280 --> 00:34:23,240 Speaker 2: administration to when I talked to him the night before, 640 00:34:23,280 --> 00:34:26,120 Speaker 2: it was less than three hundred, and so you've got 641 00:34:26,160 --> 00:34:29,680 Speaker 2: a and he said, it's a ninety seven percent decrease. 642 00:34:30,080 --> 00:34:33,879 Speaker 2: It's just it's stunning. All because Trump says, don't come 643 00:34:33,920 --> 00:34:37,440 Speaker 2: to the country, we're deporting you, and people are listening 644 00:34:37,480 --> 00:34:41,560 Speaker 2: that to that, and they're changing, changing their tactics. 645 00:34:41,719 --> 00:34:44,319 Speaker 1: Well, and I know they were saying to Tom Homan, oh, 646 00:34:44,360 --> 00:34:46,480 Speaker 1: he said Mexico was going to pay. And Tom Homan 647 00:34:46,560 --> 00:34:49,240 Speaker 1: made a great point, Mexico put troops on the border. 648 00:34:49,320 --> 00:34:52,200 Speaker 1: What do you think that is? And people have been deterred. 649 00:34:52,239 --> 00:34:55,040 Speaker 1: So we I mean, I feel blessed that we were 650 00:34:55,080 --> 00:34:56,960 Speaker 1: asked to be there at the White House for the 651 00:34:57,000 --> 00:34:59,239 Speaker 1: first one hundred day celebration. I hope we'll be able 652 00:34:59,280 --> 00:35:01,360 Speaker 1: to bring more from the White House to you guys, 653 00:35:01,400 --> 00:35:03,840 Speaker 1: and you know, we'll just continue to break some of 654 00:35:03,840 --> 00:35:07,640 Speaker 1: these things down, especially as you see certain people rising 655 00:35:08,000 --> 00:35:09,840 Speaker 1: in the ranks toward twenty eight and we want to 656 00:35:09,840 --> 00:35:12,279 Speaker 1: make sure that we're protecting what's happening. But I think 657 00:35:12,320 --> 00:35:14,719 Speaker 1: also critically, you're going to hear us talk a lot 658 00:35:14,719 --> 00:35:17,399 Speaker 1: about twenty six too, because he has to secure the House. 659 00:35:17,440 --> 00:35:19,640 Speaker 1: He has to make sure that he has the majority 660 00:35:19,640 --> 00:35:21,359 Speaker 1: in the House and the Senate, and there's a big 661 00:35:21,360 --> 00:35:23,440 Speaker 1: Senate seat here there's a few other Senate seats that 662 00:35:23,440 --> 00:35:25,680 Speaker 1: we're going to be watching, so we will continue to 663 00:35:25,719 --> 00:35:27,160 Speaker 1: bring that to you. But thank you so much for 664 00:35:27,200 --> 00:35:29,400 Speaker 1: being not today. Thank you and thank you all for 665 00:35:29,440 --> 00:35:32,520 Speaker 1: listening to the Tutor Dixon Podcast for this episode and others. 666 00:35:32,680 --> 00:35:36,680 Speaker 1: Go to Tutor diisonpodcast dot com, the iHeartRadio app, Apple Podcasts, 667 00:35:36,800 --> 00:35:39,520 Speaker 1: or wherever you get your podcasts and join us. Next time, 668 00:35:39,760 --> 00:35:40,480 Speaker 1: have a bleast dingy