1 00:00:01,160 --> 00:00:04,440 Speaker 1: Welcome to the Tutor Dixon Podcast. I have Rob Finnerty 2 00:00:04,559 --> 00:00:06,880 Speaker 1: with me today. He is the host of Wake Up 3 00:00:06,920 --> 00:00:09,879 Speaker 1: America on Newsmax and you can tune in to see 4 00:00:09,920 --> 00:00:13,640 Speaker 1: him every weekday morning from nine thirty am to nine 5 00:00:13,720 --> 00:00:17,720 Speaker 1: A or from six thirty to nine am. And today 6 00:00:17,800 --> 00:00:20,560 Speaker 1: I wanted to have him on because a few things. Obviously, 7 00:00:20,600 --> 00:00:23,320 Speaker 1: I really love watching what he does every day on Newsmax, 8 00:00:23,400 --> 00:00:26,079 Speaker 1: but also I kind of wanted that perspective of someone 9 00:00:26,120 --> 00:00:29,160 Speaker 1: who's in New York right now as we see everything 10 00:00:29,240 --> 00:00:33,360 Speaker 1: going on with Columbia, with these protests, these protests across 11 00:00:33,400 --> 00:00:36,320 Speaker 1: the country, which I think has been shocking to all 12 00:00:36,360 --> 00:00:42,279 Speaker 1: of us. I mean, even my sister's watching. She went 13 00:00:42,320 --> 00:00:44,800 Speaker 1: to Vanderbilt. She's watching Vanderbilt. She's like, I'm glad they 14 00:00:44,840 --> 00:00:48,120 Speaker 1: are actually doing something, but it's so weird to see 15 00:00:48,159 --> 00:00:51,479 Speaker 1: how different it is across the country right now. And 16 00:00:51,520 --> 00:00:54,560 Speaker 1: we're still thinking of our friends over in Israel and 17 00:00:54,640 --> 00:00:57,720 Speaker 1: what's going on over there with these attacks, and you 18 00:00:57,840 --> 00:01:01,440 Speaker 1: watch and the attacks in Israel they've increased while this 19 00:01:01,520 --> 00:01:04,880 Speaker 1: is going on with a Ran in its proxies attacking 20 00:01:05,240 --> 00:01:08,280 Speaker 1: with hundreds of drones and missiles, and I am so 21 00:01:08,480 --> 00:01:12,120 Speaker 1: blessed right now to have this partnership with the International 22 00:01:12,160 --> 00:01:15,360 Speaker 1: Fellowship of Christians and Jews, and they are actually on 23 00:01:15,400 --> 00:01:17,720 Speaker 1: the ground right now over there in Israel. So if 24 00:01:17,760 --> 00:01:21,119 Speaker 1: you're wondering, how can I help these people, how can 25 00:01:21,160 --> 00:01:23,479 Speaker 1: I help to address all of these urgent needs because 26 00:01:23,480 --> 00:01:27,960 Speaker 1: I'm not there. Well, IFCJ is and I'm partnering with 27 00:01:28,000 --> 00:01:31,080 Speaker 1: them today to help you guys help them, I want 28 00:01:31,080 --> 00:01:34,199 Speaker 1: to do the same thing. So listen, your life saving 29 00:01:34,280 --> 00:01:38,640 Speaker 1: donation can provide those security needs that they have, like 30 00:01:38,760 --> 00:01:42,679 Speaker 1: placing bomb shelters in their communities and making sure that 31 00:01:42,720 --> 00:01:45,520 Speaker 1: they have all of the supplies. When that siren goes off, 32 00:01:45,920 --> 00:01:48,800 Speaker 1: those folks only have fifteen seconds or less to get 33 00:01:48,840 --> 00:01:53,880 Speaker 1: to safety. IFCJ has helped to renovate install nearly three 34 00:01:53,880 --> 00:01:57,400 Speaker 1: thousand bomb shelters to date, as Israel and her people 35 00:01:57,440 --> 00:02:01,640 Speaker 1: live with the harsh reality of terror every you, guys, 36 00:02:01,960 --> 00:02:04,720 Speaker 1: you can be the support. You can help address those 37 00:02:04,720 --> 00:02:08,200 Speaker 1: emergency security needs like food. I mean think about that, 38 00:02:08,800 --> 00:02:12,200 Speaker 1: as simple as food and bomb shelters, flack jackets, all 39 00:02:12,240 --> 00:02:14,400 Speaker 1: these other essentials that we don't have to worry about. 40 00:02:14,440 --> 00:02:15,080 Speaker 2: You can help. 41 00:02:15,440 --> 00:02:18,440 Speaker 1: We are asking our listeners today to give fifty dollars 42 00:02:18,680 --> 00:02:21,680 Speaker 1: or any other amount you can give to provide life 43 00:02:21,680 --> 00:02:26,519 Speaker 1: saving aid to these folks. Just visit SUPPORTIFCJ dot org. 44 00:02:26,600 --> 00:02:30,880 Speaker 1: It's one word, support IFCJ dot org. And you can 45 00:02:30,960 --> 00:02:33,720 Speaker 1: help right now too. Now I want to bring Robin 46 00:02:33,960 --> 00:02:36,240 Speaker 1: because you're listening to me talk about what we can 47 00:02:36,320 --> 00:02:38,960 Speaker 1: do for the folks on the ground in Israel. But 48 00:02:39,080 --> 00:02:42,359 Speaker 1: what is going on in New York City right now? 49 00:02:42,400 --> 00:02:46,200 Speaker 1: When we look at Columbia University, I mean we're seeing 50 00:02:46,560 --> 00:02:49,480 Speaker 1: windows broken out. They were given this demand that they 51 00:02:49,520 --> 00:02:52,800 Speaker 1: had to move out, they could not have this occupation 52 00:02:52,919 --> 00:02:56,519 Speaker 1: on campus anymore, and instead they went completely the other direction. 53 00:02:56,680 --> 00:02:58,680 Speaker 1: What are you seeing on the ground? 54 00:02:58,840 --> 00:03:02,440 Speaker 3: So really shocking. We came in this morning, ready to 55 00:03:02,440 --> 00:03:05,560 Speaker 3: do the show with one plan, and this all happened, 56 00:03:05,800 --> 00:03:09,240 Speaker 3: you know, overnight at Columbia, so plans changed. I don't 57 00:03:09,280 --> 00:03:13,320 Speaker 3: know how at this point, this academic president at Columbia, 58 00:03:13,440 --> 00:03:15,600 Speaker 3: Manu Chaffique, I don't know how she keeps her job. 59 00:03:16,720 --> 00:03:20,080 Speaker 3: Claudine Gay and Liz McGill, they were forced to resign 60 00:03:20,639 --> 00:03:23,440 Speaker 3: or fired for doing a lot less than what we're 61 00:03:23,440 --> 00:03:28,959 Speaker 3: seeing happening at Columbia. But overnight, and again it's I'm 62 00:03:29,000 --> 00:03:32,280 Speaker 3: all for protests. Protesting is part of our right to 63 00:03:32,320 --> 00:03:34,400 Speaker 3: live in this country, the best country on the planet. 64 00:03:34,520 --> 00:03:37,360 Speaker 3: But when you start breaking the law, you've got to 65 00:03:37,360 --> 00:03:40,960 Speaker 3: break up these protests. The NYPD is not allowed on campus. 66 00:03:41,000 --> 00:03:45,120 Speaker 3: All these campuses are private campus security or whatever they 67 00:03:45,160 --> 00:03:48,480 Speaker 3: call them now like school safety officers. They clearly can't 68 00:03:48,520 --> 00:03:52,960 Speaker 3: handle what's going on last night. Yeah, broken windows. Students 69 00:03:53,040 --> 00:03:56,480 Speaker 3: formed a barricade with chairs and desks and furniture on 70 00:03:56,520 --> 00:04:00,800 Speaker 3: the inside. On the outside, they locked arms. They use 71 00:04:00,880 --> 00:04:03,040 Speaker 3: zip ties to lock all the doors, and then they 72 00:04:03,080 --> 00:04:07,480 Speaker 3: blacked out the windows in this one academic building, Hamilton Hall, 73 00:04:07,840 --> 00:04:10,119 Speaker 3: so people can't see what's going on inside. Not only 74 00:04:10,160 --> 00:04:12,880 Speaker 3: is that a fire hazard, but it's a huge risk 75 00:04:12,960 --> 00:04:15,680 Speaker 3: to anybody inside the building if something were to go wrong. 76 00:04:16,000 --> 00:04:17,680 Speaker 3: So I don't know why, I don't know when it's 77 00:04:17,680 --> 00:04:20,560 Speaker 3: appropriate for the National Guard to be called, but to me, 78 00:04:21,279 --> 00:04:23,640 Speaker 3: this is when you do something like that for the 79 00:04:23,680 --> 00:04:26,840 Speaker 3: safety of people inside and outside that building, and right 80 00:04:26,880 --> 00:04:29,640 Speaker 3: now nothing's being done, nothing's. 81 00:04:29,279 --> 00:04:30,240 Speaker 2: Being I mean it. 82 00:04:31,080 --> 00:04:33,240 Speaker 1: You make a really good point because you're reminding me 83 00:04:33,520 --> 00:04:36,880 Speaker 1: of the Chaz zone that we had. We saw what 84 00:04:36,920 --> 00:04:39,800 Speaker 1: in twenty twenty, but people we ended up with two 85 00:04:39,880 --> 00:04:43,479 Speaker 1: young people murdered in there. We had multiple rapes, Right, 86 00:04:43,600 --> 00:04:47,480 Speaker 1: How did they even know what's going on? You said something, 87 00:04:47,800 --> 00:04:51,320 Speaker 1: you said, I'm all for protests, and I agree with that. 88 00:04:51,960 --> 00:04:54,880 Speaker 1: I think what has happened though, because we saw that 89 00:04:55,000 --> 00:04:57,240 Speaker 1: happening in Seattle and people were just like, oh, it's 90 00:04:57,240 --> 00:04:59,640 Speaker 1: going to be the summer of love. We'll wait, and 91 00:04:59,680 --> 00:05:04,000 Speaker 1: they became rioters. They became violent, they started stealing from 92 00:05:04,000 --> 00:05:04,360 Speaker 1: each other. 93 00:05:04,400 --> 00:05:04,880 Speaker 2: I mean, I. 94 00:05:04,800 --> 00:05:08,880 Speaker 1: Remember when these young people were like I had I 95 00:05:08,960 --> 00:05:11,440 Speaker 1: laugh to laugh because they're like, I had my iPad 96 00:05:11,520 --> 00:05:14,039 Speaker 1: out and the people in the chat zone said that 97 00:05:14,080 --> 00:05:16,480 Speaker 1: we should share, and so someone just took it. Now 98 00:05:16,520 --> 00:05:19,760 Speaker 1: I don't have it anymore. Yes, welcome to socialism. This 99 00:05:19,800 --> 00:05:22,240 Speaker 1: is a great project for you. It sucks, doesn't it. 100 00:05:22,640 --> 00:05:25,040 Speaker 1: But I think they got used to the fact that 101 00:05:25,440 --> 00:05:29,320 Speaker 1: protests meant something different. I mean, look at Minneapolis and 102 00:05:29,360 --> 00:05:32,560 Speaker 1: what happened there, and you had Kamala Harris saying stay 103 00:05:32,600 --> 00:05:33,240 Speaker 1: in the streets. 104 00:05:33,480 --> 00:05:35,839 Speaker 2: That was not a protest, that's a riot. There's a difference. 105 00:05:36,040 --> 00:05:39,960 Speaker 3: Yeah, And Kamala Harris was a candidate back then before 106 00:05:40,000 --> 00:05:43,160 Speaker 3: the twenty twenty election, so she was able to donate 107 00:05:43,200 --> 00:05:47,200 Speaker 3: to bail funds and try to bail these these criminals out, 108 00:05:47,520 --> 00:05:49,960 Speaker 3: and that helped her. I think that helped them in 109 00:05:50,000 --> 00:05:52,240 Speaker 3: twenty twenty to win the election. Here we are four 110 00:05:52,279 --> 00:05:54,960 Speaker 3: years later, it's much different situation. That was also we 111 00:05:54,960 --> 00:05:57,239 Speaker 3: were dealing with the pandemic, and that was all post 112 00:05:57,279 --> 00:06:01,120 Speaker 3: George Floyd. Much different circumstance. Now Kamala and Joe are 113 00:06:01,160 --> 00:06:04,080 Speaker 3: running for president again, and this is I don't know 114 00:06:04,920 --> 00:06:09,320 Speaker 3: how the administration doesn't pay a serious political price for 115 00:06:09,360 --> 00:06:11,480 Speaker 3: what's going on at these schools. And I just think 116 00:06:11,520 --> 00:06:14,479 Speaker 3: about it like this, If you were a senior in 117 00:06:14,560 --> 00:06:17,840 Speaker 3: twenty twenty and you had your graduation canceled because of COVID, 118 00:06:18,080 --> 00:06:20,040 Speaker 3: if you go to one of now it's like three 119 00:06:20,120 --> 00:06:24,400 Speaker 3: dozen schools that have canceled graduation ceremony, canceled commencement. Four 120 00:06:24,480 --> 00:06:26,720 Speaker 3: years later, you're not going to have a graduation ceremony. 121 00:06:26,839 --> 00:06:28,680 Speaker 3: That's going to affect you for the rest of your life. 122 00:06:28,720 --> 00:06:30,960 Speaker 3: And I don't know how that doesn't impact Joe and 123 00:06:31,040 --> 00:06:33,479 Speaker 3: Kamala on election day. If I'm a parent or a 124 00:06:33,480 --> 00:06:36,719 Speaker 3: grandparent and I've given money to a five twenty nine 125 00:06:36,720 --> 00:06:38,880 Speaker 3: and saved and done all the right things to have 126 00:06:38,920 --> 00:06:41,520 Speaker 3: this one moment when I can see my son or 127 00:06:41,560 --> 00:06:44,240 Speaker 3: daughter graduate from college or one of these universities, and 128 00:06:44,320 --> 00:06:47,159 Speaker 3: this happens, I'm blaming the administration. 129 00:06:47,680 --> 00:06:48,960 Speaker 2: But they're not saying anything. 130 00:06:49,000 --> 00:06:51,920 Speaker 1: I mean, I even in Michigan, we have Rashida Talib, 131 00:06:51,960 --> 00:06:54,520 Speaker 1: who is one of the people who leads the charge 132 00:06:54,560 --> 00:06:57,520 Speaker 1: on these discussions, on these protests, and she had a 133 00:06:57,560 --> 00:06:59,640 Speaker 1: protest in the Capitol, and ever Rudy's. 134 00:06:59,320 --> 00:07:00,000 Speaker 2: Like, oh, that's different. 135 00:07:00,400 --> 00:07:03,400 Speaker 1: It's Rashida Talib having this protest. We don't have to 136 00:07:03,400 --> 00:07:06,000 Speaker 1: get mad about this one. But she's leading all of 137 00:07:06,040 --> 00:07:10,120 Speaker 1: these things. And yet we don't have even the Michigan 138 00:07:10,160 --> 00:07:12,640 Speaker 1: delegation coming out and saying this is not okay. 139 00:07:12,800 --> 00:07:15,559 Speaker 2: We do not agree with what these people are doing. 140 00:07:15,840 --> 00:07:20,600 Speaker 1: I think it's kind of like they started this situation 141 00:07:20,800 --> 00:07:23,560 Speaker 1: with twenty twenty. They encouraged this back then, they were 142 00:07:23,600 --> 00:07:27,000 Speaker 1: okay with all of these things happening, and now they 143 00:07:27,000 --> 00:07:28,680 Speaker 1: don't know how to come out and say this is 144 00:07:28,760 --> 00:07:29,760 Speaker 1: not this is not okay. 145 00:07:29,960 --> 00:07:32,520 Speaker 3: Yeah, and it's scary. I don't know what it's going 146 00:07:32,560 --> 00:07:35,760 Speaker 3: to take for this too, for the I mean, yesterday 147 00:07:35,800 --> 00:07:38,080 Speaker 3: at the White House, Karine Jean Pierre had her normal 148 00:07:38,120 --> 00:07:40,840 Speaker 3: Monday briefing and she was asked about this and she said, yeah, 149 00:07:40,840 --> 00:07:44,800 Speaker 3: we condemn anti Semitic protests, but they didn't they want 150 00:07:44,840 --> 00:07:46,720 Speaker 3: it both ways. She didn't come out and say these 151 00:07:46,760 --> 00:07:50,400 Speaker 3: campuses should be cleared, clouding gay. You know, yesterday two o'clock, 152 00:07:50,440 --> 00:07:52,280 Speaker 3: two pm in New York was the deadline to clear 153 00:07:52,320 --> 00:07:55,800 Speaker 3: out this, all the encampment tents and all the you know, 154 00:07:55,800 --> 00:07:57,960 Speaker 3: this is fund from the outside. Not to mention, nobody's 155 00:07:58,000 --> 00:08:01,200 Speaker 3: talking about the fact that the majority of these rioters. 156 00:08:01,240 --> 00:08:03,840 Speaker 3: Now this has gone from protest to riot. Certainly at UNC, 157 00:08:04,040 --> 00:08:07,120 Speaker 3: certainly at Columbia. These are riots now. We called it 158 00:08:07,160 --> 00:08:09,320 Speaker 3: that in twenty twenty. You've got to call it that now. 159 00:08:09,960 --> 00:08:12,280 Speaker 3: But the majority of these people. One kid was interviewed 160 00:08:12,320 --> 00:08:14,240 Speaker 3: and he was like in his thirties. I was like, 161 00:08:14,280 --> 00:08:16,440 Speaker 3: this is definitely not an undergrad a lot of these things. 162 00:08:16,440 --> 00:08:19,280 Speaker 2: That's the Yes, these are not students. 163 00:08:19,320 --> 00:08:20,400 Speaker 3: Yeah, they're not students. 164 00:08:20,480 --> 00:08:22,600 Speaker 1: And how do you even know because they have their 165 00:08:22,600 --> 00:08:25,200 Speaker 1: faces masked. You know, this is something that we've talked 166 00:08:25,240 --> 00:08:27,679 Speaker 1: about in Michigan. I mean, we have an anti clan 167 00:08:27,800 --> 00:08:30,640 Speaker 1: law here that means you can't have your face in 168 00:08:30,680 --> 00:08:34,520 Speaker 1: a mask too. And when you're harassing people or publicly protesting. 169 00:08:34,559 --> 00:08:35,720 Speaker 2: You cann't, which. 170 00:08:35,559 --> 00:08:38,920 Speaker 1: Obviously is an old law. But the question is why 171 00:08:38,960 --> 00:08:42,000 Speaker 1: should you be allowed to say that you are Hamas, 172 00:08:42,360 --> 00:08:45,520 Speaker 1: which is a terrorist organization. I find this very interesting. 173 00:08:45,720 --> 00:08:49,240 Speaker 1: They're saying we are Hamas, they're saying death to America. 174 00:08:49,480 --> 00:08:53,880 Speaker 1: They're making statements that are in line with terrorism. And 175 00:08:54,240 --> 00:08:57,480 Speaker 1: I think that we also have to say students of 176 00:08:57,520 --> 00:09:04,120 Speaker 1: this age are the prime target for a radicalization. These groups, 177 00:09:04,160 --> 00:09:07,000 Speaker 1: these these terrorist groups, they know what they're doing. This 178 00:09:07,080 --> 00:09:09,280 Speaker 1: is what they do. They radicalize young people and they 179 00:09:09,280 --> 00:09:14,400 Speaker 1: create terrorists. You see a huge swath of people across 180 00:09:14,440 --> 00:09:18,160 Speaker 1: these campuses that are praying five times a day to Allah. 181 00:09:19,000 --> 00:09:22,719 Speaker 1: Wait a minute, these are not students who are of 182 00:09:22,760 --> 00:09:28,320 Speaker 1: the Islamic faith. They're suddenly being dragged into an extremist faction. 183 00:09:28,640 --> 00:09:32,320 Speaker 1: And I'm like, why isn't the FBI investigating this or 184 00:09:32,400 --> 00:09:33,600 Speaker 1: saying anything about it. 185 00:09:33,679 --> 00:09:36,640 Speaker 3: Yeah, they're too busy writing down the license plate numbers 186 00:09:36,640 --> 00:09:40,440 Speaker 3: of Catholics, you know, when they're church on Sunday. Seriously, 187 00:09:41,120 --> 00:09:43,360 Speaker 3: here are some of the chants that we've heard just 188 00:09:43,400 --> 00:09:46,679 Speaker 3: at Columbia. Yes, Amas, we love you, We support your 189 00:09:46,760 --> 00:09:50,480 Speaker 3: rockets too. Let's kill every Jew, it's right to rebel 190 00:09:50,800 --> 00:09:54,440 Speaker 3: Israel can go to Hell. To your point, yeah, it's 191 00:09:54,480 --> 00:09:59,240 Speaker 3: beyond indoctrination. Hamas is recruiting. They are actively recruiting. And 192 00:09:59,320 --> 00:10:03,319 Speaker 3: Hamas so the Nazis. Where that was the government in 193 00:10:03,400 --> 00:10:06,400 Speaker 3: Germany in the nineteen thirties and forties, Hamas is the 194 00:10:06,400 --> 00:10:08,920 Speaker 3: government in Gaza. So you can say they are the 195 00:10:09,000 --> 00:10:12,000 Speaker 3: Nazis of today, or you could say, fine, we're in 196 00:10:12,000 --> 00:10:15,200 Speaker 3: New York City. These people are saying Hamas, we love you. 197 00:10:16,120 --> 00:10:19,040 Speaker 3: That would be like saying al Qaeda we love you, you know, 198 00:10:19,120 --> 00:10:22,160 Speaker 3: on September twelfth, right after nine to eleven and doing that, 199 00:10:22,480 --> 00:10:25,439 Speaker 3: you know, just blocks from ground zero. That's where we are. 200 00:10:25,480 --> 00:10:29,080 Speaker 3: That's how sick this is. This is not like protesting 201 00:10:29,080 --> 00:10:33,120 Speaker 3: the Vietnam War in nineteen sixty eight and leading up 202 00:10:33,160 --> 00:10:36,680 Speaker 3: to the election in sixty eight. This is completely different. 203 00:10:36,720 --> 00:10:38,480 Speaker 3: And I was talking to my parents were both in 204 00:10:38,520 --> 00:10:41,079 Speaker 3: college in that time period, and they were like, yeah, 205 00:10:41,400 --> 00:10:44,439 Speaker 3: we had guest speakers from both sides come on to 206 00:10:44,520 --> 00:10:48,040 Speaker 3: campus and talk to students. We had like candlelight vigils. 207 00:10:48,960 --> 00:10:50,960 Speaker 3: They were It was a lot. There was some violence, 208 00:10:50,960 --> 00:10:54,040 Speaker 3: certainly in the late sixties, but not what we're seeing 209 00:10:54,120 --> 00:10:56,600 Speaker 3: right now, and it's not as coordinated. You know, these 210 00:10:56,679 --> 00:11:00,640 Speaker 3: chants what you're seeing on campus at Columbia being on 211 00:11:00,679 --> 00:11:03,360 Speaker 3: campuses out in California. Now, how does that happen? They're 212 00:11:03,360 --> 00:11:06,280 Speaker 3: not watching the news. No, it's because it's all coordinated. 213 00:11:06,480 --> 00:11:09,160 Speaker 3: The signs. Instead of there being like poster boards that 214 00:11:09,200 --> 00:11:12,000 Speaker 3: you buy and then write something with a sharpie, all 215 00:11:12,000 --> 00:11:16,080 Speaker 3: these signs are manufactured and printed and then distributing right 216 00:11:16,160 --> 00:11:19,319 Speaker 3: at these campuses. That's coordination. Who's funding it? Is it 217 00:11:19,440 --> 00:11:22,040 Speaker 3: Soros connected groups? Is it dark money like we saw 218 00:11:22,080 --> 00:11:26,800 Speaker 3: in twenty twenty, connected to various Democratic boosters. I don't know. 219 00:11:27,480 --> 00:11:29,280 Speaker 1: But why at a time when we have the director 220 00:11:29,320 --> 00:11:32,040 Speaker 1: of the FBI coming out and saying there are red 221 00:11:32,600 --> 00:11:35,800 Speaker 1: red flags everywhere we should be concerned about an attack 222 00:11:35,920 --> 00:11:38,480 Speaker 1: on US soil at any time it could be coming. 223 00:11:38,920 --> 00:11:42,800 Speaker 1: And yet you have students who are threatening this death 224 00:11:42,840 --> 00:11:46,200 Speaker 1: to America, take the United States down. I mean, in 225 00:11:46,240 --> 00:11:50,720 Speaker 1: the midst of just receiving these proof of life videos 226 00:11:50,920 --> 00:11:54,520 Speaker 1: of hostages that are still being held by Hamas, and 227 00:11:54,559 --> 00:11:57,520 Speaker 1: they have so little regard for human life that they 228 00:11:57,520 --> 00:12:00,600 Speaker 1: are out there calling for the rest of the Jewish 229 00:12:00,640 --> 00:12:04,000 Speaker 1: state to be eliminated. This is unheard of. I think 230 00:12:04,040 --> 00:12:06,640 Speaker 1: it's interesting that you bring up the sixties because the 231 00:12:06,720 --> 00:12:09,640 Speaker 1: protests then were really about peace, and they will lie 232 00:12:09,679 --> 00:12:11,560 Speaker 1: and say this is about a ceasefire, but it's not. 233 00:12:12,400 --> 00:12:14,920 Speaker 1: They've made it clear what they want. They want Israel 234 00:12:14,960 --> 00:12:15,840 Speaker 1: wiped off the map. 235 00:12:15,920 --> 00:12:19,160 Speaker 3: Yeah, and the ceasefire, that's up to Hamas. That's Hamas's choice. 236 00:12:19,240 --> 00:12:22,080 Speaker 3: They can lay down their arms at any time, and 237 00:12:22,200 --> 00:12:24,000 Speaker 3: Israel's going to go into Rafa and they're going to 238 00:12:24,000 --> 00:12:27,120 Speaker 3: close this thing out. And it doesn't matter what the 239 00:12:27,120 --> 00:12:30,240 Speaker 3: people on college campuses and the US have to say 240 00:12:30,240 --> 00:12:34,400 Speaker 3: about it. It's really sad. You're in Michigan, and I 241 00:12:34,440 --> 00:12:37,079 Speaker 3: think we look at it when we're covering it as 242 00:12:37,120 --> 00:12:41,240 Speaker 3: this is the Biden Michigan maybe Minnesota policy. They don't 243 00:12:41,280 --> 00:12:44,360 Speaker 3: want to lose the what sixteen electoral votes in Michigan 244 00:12:44,480 --> 00:12:47,680 Speaker 3: in November, so they're letting this happen. And I'm thinking 245 00:12:47,720 --> 00:12:51,679 Speaker 3: about it now, at what cost because now you're alienating 246 00:12:52,360 --> 00:12:55,200 Speaker 3: every other state just to win Michigan. So at what 247 00:12:55,280 --> 00:12:56,920 Speaker 3: cost are you going to give up? Because if Trump 248 00:12:56,920 --> 00:13:01,440 Speaker 3: wins Pennsylvania, it's also over for Joe Biden. And the 249 00:13:01,480 --> 00:13:04,520 Speaker 3: math right now after that CNN pol on Sunday. The 250 00:13:04,559 --> 00:13:06,880 Speaker 3: math is in Donald Trump's favor. Now we've got six 251 00:13:06,920 --> 00:13:09,600 Speaker 3: months to go. But what's it going to take. Is 252 00:13:09,600 --> 00:13:11,680 Speaker 3: it going to take one of these students, a Jewish student. 253 00:13:11,760 --> 00:13:14,400 Speaker 3: Is it going to take somebody getting killed or seriously 254 00:13:14,440 --> 00:13:17,480 Speaker 3: injured for Joe Biden to come out and condemn not 255 00:13:17,600 --> 00:13:20,720 Speaker 3: only anti Semitism but the riots now that we're seeing 256 00:13:20,720 --> 00:13:22,679 Speaker 3: on campus. Is that what it's going to take, because 257 00:13:22,679 --> 00:13:26,520 Speaker 3: that's also going to alienate him to view or two voters. 258 00:13:26,880 --> 00:13:29,600 Speaker 3: And I just don't understand what the White House's strategy 259 00:13:29,640 --> 00:13:30,200 Speaker 3: is right now. 260 00:13:30,559 --> 00:13:33,280 Speaker 2: Let's take a quick commercial break. We'll continue next on 261 00:13:33,320 --> 00:13:34,719 Speaker 2: the Tutor Dixon podcast. 262 00:13:38,520 --> 00:13:40,480 Speaker 1: You bring up Michigan, and I think that the reason 263 00:13:40,520 --> 00:13:43,160 Speaker 1: that they are so concerned about Michigan is because of 264 00:13:43,160 --> 00:13:46,400 Speaker 1: that one hundred thousand strong uncommitted vote that happened in 265 00:13:46,440 --> 00:13:49,240 Speaker 1: the primary, which they were not expecting. They, I mean, 266 00:13:49,280 --> 00:13:51,640 Speaker 1: even Gretchen Whitmer was out saying, this is going to 267 00:13:51,640 --> 00:13:54,280 Speaker 1: be ten thousand. It's no big deal. We've got this 268 00:13:54,400 --> 00:13:57,720 Speaker 1: under control. I'mphone banking. She was calling people. She thought 269 00:13:57,720 --> 00:13:59,960 Speaker 1: that it was going to be fine. And I think 270 00:14:00,000 --> 00:14:03,520 Speaker 1: think that even if it had just been our Arab 271 00:14:03,800 --> 00:14:06,800 Speaker 1: American community. They would have said, Okay, this is a statement. 272 00:14:06,840 --> 00:14:09,360 Speaker 1: We're going to win these folks back. And that was 273 00:14:09,880 --> 00:14:12,160 Speaker 1: essentially what she said. She came out and was pretty 274 00:14:12,240 --> 00:14:14,920 Speaker 1: much like, Hey, they're going to make a statement, but 275 00:14:15,000 --> 00:14:17,880 Speaker 1: they're with us in the end. They don't like her 276 00:14:18,040 --> 00:14:21,120 Speaker 1: first of all. But the other thing is it was 277 00:14:21,560 --> 00:14:24,400 Speaker 1: the University of Michigan in Michigan State. They came out 278 00:14:24,440 --> 00:14:26,760 Speaker 1: and voted uncommitted. And I think this is kind of 279 00:14:26,800 --> 00:14:31,640 Speaker 1: like when Frankenstein becomes more than you can handle, because 280 00:14:31,720 --> 00:14:34,240 Speaker 1: they were the ones that put these radical ideas on 281 00:14:34,520 --> 00:14:39,760 Speaker 1: college campuses, all of this, you know, protest extremism, socialism, communism, 282 00:14:40,120 --> 00:14:43,440 Speaker 1: and now the experiment has become too big. They can't 283 00:14:43,440 --> 00:14:46,440 Speaker 1: handle it anymore. And really the fact that they aren't 284 00:14:46,440 --> 00:14:49,720 Speaker 1: talking at all makes me believe that they are crapping 285 00:14:49,720 --> 00:14:52,600 Speaker 1: their pants behind the scenes, going this, this is out 286 00:14:52,640 --> 00:14:54,800 Speaker 1: of control. We have no idea what to do, and 287 00:14:54,840 --> 00:14:56,360 Speaker 1: what are they going to have the guy that steals 288 00:14:56,360 --> 00:14:58,560 Speaker 1: women's suitcases at the airport fix it? 289 00:14:58,600 --> 00:15:00,200 Speaker 2: You know, they don't even have a real. 290 00:15:00,120 --> 00:15:02,840 Speaker 3: Staff, right right, or Rachel Levine. 291 00:15:03,520 --> 00:15:06,600 Speaker 1: Right, exactly, very effective. Let me go check on all 292 00:15:06,640 --> 00:15:09,280 Speaker 1: of their mental health. Oh, I think that the ZIP 293 00:15:09,320 --> 00:15:12,800 Speaker 1: ties are healthy for them, right, that's how they identify. 294 00:15:13,000 --> 00:15:15,240 Speaker 3: I saw a poll, this is two weeks ago that 295 00:15:15,880 --> 00:15:19,520 Speaker 3: Trump was losing to Biden in Minnesota, right next to Michigan, 296 00:15:19,520 --> 00:15:20,520 Speaker 3: by only two points. 297 00:15:20,840 --> 00:15:21,680 Speaker 2: That's shocking. 298 00:15:21,800 --> 00:15:25,840 Speaker 3: Now. I know that, look, Minnesota will likely go for Biden, 299 00:15:26,160 --> 00:15:28,400 Speaker 3: but just the fact that Trump's within two that's the 300 00:15:28,440 --> 00:15:32,320 Speaker 3: margin of error. Right again, it's six months to election date. 301 00:15:32,520 --> 00:15:36,240 Speaker 3: May first is right around the corner. But let's say 302 00:15:36,320 --> 00:15:39,560 Speaker 3: the election were tomorrow. Trump not only wins in the 303 00:15:39,600 --> 00:15:42,440 Speaker 3: electoral college, I think he wins the popular vote, like 304 00:15:42,560 --> 00:15:46,480 Speaker 3: Reagan nineteen eighty four, like landslide. Trump win because people. 305 00:15:46,560 --> 00:15:49,440 Speaker 3: It's not Sometimes when we're doing the show, will make 306 00:15:49,440 --> 00:15:51,680 Speaker 3: a list of things that people are paying too much for. 307 00:15:52,480 --> 00:15:54,440 Speaker 3: I'm like, guys, producers, I'm going to save you like 308 00:15:54,480 --> 00:15:58,640 Speaker 3: an hour. Everything costs too much. Right now, everything costs 309 00:15:58,680 --> 00:16:03,120 Speaker 3: too much. That's America. The economy is the entire election. 310 00:16:03,480 --> 00:16:05,240 Speaker 3: And I think the border in what we're seeing on 311 00:16:05,280 --> 00:16:08,440 Speaker 3: these college campuses, all of that just only that adds 312 00:16:08,480 --> 00:16:09,920 Speaker 3: to it. That only adds to it. 313 00:16:10,720 --> 00:16:14,160 Speaker 1: There are little signs and I think people were like, oh, 314 00:16:14,360 --> 00:16:17,560 Speaker 1: you're a Republican. So you're saying this, but even this morning, 315 00:16:17,600 --> 00:16:19,320 Speaker 1: I took my car in to get an oil change, 316 00:16:19,360 --> 00:16:21,480 Speaker 1: and as I walked out, all of the guys who had. 317 00:16:21,360 --> 00:16:23,960 Speaker 2: Their little stations, they were like, is Trump going to win? 318 00:16:24,920 --> 00:16:25,440 Speaker 2: Run again? 319 00:16:25,560 --> 00:16:27,560 Speaker 1: Get Gretchen Wimer out of here. We have got to 320 00:16:27,600 --> 00:16:29,160 Speaker 1: make sure that the state goes back. 321 00:16:29,040 --> 00:16:32,720 Speaker 3: In the late seventies, Jimmy Carter, Gerald Ford seventy six, 322 00:16:33,160 --> 00:16:35,440 Speaker 3: and he did it again in eighty Check that eighty four. 323 00:16:35,960 --> 00:16:38,360 Speaker 3: This is again it's anecdotal, But to your story about 324 00:16:38,360 --> 00:16:40,600 Speaker 3: getting oil changed. When I get into the city, I 325 00:16:40,600 --> 00:16:42,520 Speaker 3: park my car in the same garage, right in the building, 326 00:16:42,880 --> 00:16:44,720 Speaker 3: and the guys that work there, these are not guys 327 00:16:44,760 --> 00:16:48,760 Speaker 3: that were Trump voters four years ago, but they're Trump 328 00:16:48,840 --> 00:16:51,760 Speaker 3: voters now and they know what I do. But every 329 00:16:51,760 --> 00:16:54,080 Speaker 3: morning I have a little you know, exchange with them 330 00:16:54,080 --> 00:16:56,520 Speaker 3: and they're like, you know, sleepy Joe, and they you know, 331 00:16:56,520 --> 00:16:59,680 Speaker 3: they make fun of Joe Biden. I'm seeing this everywhere. 332 00:17:00,200 --> 00:17:04,080 Speaker 3: In nineteen seventy six, Johnny Carson the Tonight Show, he 333 00:17:04,119 --> 00:17:06,960 Speaker 3: would pull the audience in the studio audience. He'd be like, 334 00:17:07,200 --> 00:17:09,840 Speaker 3: how many of you like Gerald Ford? And by round 335 00:17:09,880 --> 00:17:13,400 Speaker 3: of applause, how many like Jimmy Carter, and Jimmy Carter 336 00:17:13,480 --> 00:17:15,880 Speaker 3: got around, he got a louder round of applause. Carter won. 337 00:17:16,320 --> 00:17:19,719 Speaker 3: He did that again in eighty or eighty four, and 338 00:17:19,960 --> 00:17:21,600 Speaker 3: the round of applause for Reagan, I guess it was 339 00:17:21,640 --> 00:17:24,800 Speaker 3: eighty for Reagan beating Carter, and Carter got like four 340 00:17:24,880 --> 00:17:27,920 Speaker 3: colaps and it was like overwhelming for Reagan. And that 341 00:17:28,400 --> 00:17:30,919 Speaker 3: wasn't what the polls were saying, but that's what the 342 00:17:30,960 --> 00:17:34,040 Speaker 3: American people were saying. And it's anecdotal. But your oil 343 00:17:34,119 --> 00:17:35,800 Speaker 3: change story, I totally buy that. 344 00:17:36,480 --> 00:17:39,480 Speaker 1: Oh my gosh, did you see Pelosi trying to pretend 345 00:17:39,600 --> 00:17:43,439 Speaker 1: like he created this great economy and all these jobs. 346 00:17:43,480 --> 00:17:46,920 Speaker 1: She comes out, she's on CNN. It was CNN, right, Sarah, Yeah, 347 00:17:47,560 --> 00:17:51,360 Speaker 1: she's on CNN, and she's like, you know, Trump had 348 00:17:51,359 --> 00:17:54,000 Speaker 1: a terrible economy and he lost more jobs than any 349 00:17:54,000 --> 00:17:57,320 Speaker 1: other president, and Joe Biden has brought all these jobs back. 350 00:17:57,359 --> 00:18:00,240 Speaker 1: And even the CNN host was like, I mean, it 351 00:18:00,320 --> 00:18:01,480 Speaker 1: was a global pandemic. 352 00:18:01,760 --> 00:18:03,480 Speaker 2: And she just went off on this woman. 353 00:18:03,520 --> 00:18:05,320 Speaker 1: She's like, oh, oh, I didn't know you were a 354 00:18:05,359 --> 00:18:08,600 Speaker 1: Trump apologist. And this lady's like, literally, no one would 355 00:18:08,640 --> 00:18:12,040 Speaker 1: call me that, but they're losing it. And that's what 356 00:18:12,280 --> 00:18:14,919 Speaker 1: when you see Nancy Pelosi losing it. I mean, she 357 00:18:15,400 --> 00:18:18,760 Speaker 1: has been in control for a very long time. And 358 00:18:18,800 --> 00:18:21,119 Speaker 1: I know that people remember her ripping up the speech 359 00:18:21,160 --> 00:18:22,680 Speaker 1: and they're like, oh, that was a moment. 360 00:18:22,480 --> 00:18:23,240 Speaker 2: Where she lost it. 361 00:18:23,320 --> 00:18:27,720 Speaker 1: But to get where she had been as the Speaker 362 00:18:27,760 --> 00:18:30,360 Speaker 1: of the House and the total control that she had 363 00:18:30,400 --> 00:18:32,679 Speaker 1: over the Democrat Party for so many years and I 364 00:18:32,680 --> 00:18:36,560 Speaker 1: believe still has, she doesn't lose her cool easily. And 365 00:18:36,600 --> 00:18:38,480 Speaker 1: so the fact that she would lose her cool when 366 00:18:38,520 --> 00:18:42,359 Speaker 1: they say, you know, I mean he had a little help. 367 00:18:42,440 --> 00:18:46,160 Speaker 1: This was a global pandemic. Of course, that is a fact. 368 00:18:46,600 --> 00:18:49,359 Speaker 1: I give the CNN lady props for actually saying it. 369 00:18:49,720 --> 00:18:53,520 Speaker 1: She lost her Oh, Sarah's actually holding up a sign 370 00:18:53,640 --> 00:18:56,440 Speaker 1: saying no is I MSNBC. So that's even more incredible 371 00:18:56,480 --> 00:18:59,280 Speaker 1: that MSNBC was like no, no, Yeah, I. 372 00:18:59,240 --> 00:19:01,280 Speaker 3: Think it was Katie. And when I heard that, yeah, 373 00:19:01,400 --> 00:19:05,360 Speaker 3: wait really yeah. And it's so the unemployment rates at 374 00:19:05,400 --> 00:19:08,159 Speaker 3: like a fifty year low, and I think, yeah, Joe Biden, 375 00:19:08,240 --> 00:19:10,080 Speaker 3: if he knew it were legitimate, he'd be like, look, 376 00:19:10,080 --> 00:19:12,680 Speaker 3: the uneployment rate's at a fifty year low. It's pandemic 377 00:19:12,760 --> 00:19:14,239 Speaker 3: jobs that have come back, but it's also there are 378 00:19:14,240 --> 00:19:16,840 Speaker 3: more side hustles. Right now, more Americans have more than 379 00:19:16,880 --> 00:19:18,960 Speaker 3: one job than ever before in our history. And you 380 00:19:19,000 --> 00:19:21,040 Speaker 3: could say, well, that's the way the economy is trending, 381 00:19:21,040 --> 00:19:23,280 Speaker 3: and I'm like, no, I think if you ask the 382 00:19:23,320 --> 00:19:25,600 Speaker 3: people that have two or three jobs all of these 383 00:19:25,640 --> 00:19:27,600 Speaker 3: side hustles, I think they'd rather just have one job 384 00:19:27,640 --> 00:19:31,000 Speaker 3: and have a w two and just make it easier. 385 00:19:30,960 --> 00:19:32,160 Speaker 2: Than right exactly. 386 00:19:32,240 --> 00:19:34,840 Speaker 1: I mean when you see the man on the street 387 00:19:35,200 --> 00:19:38,440 Speaker 1: in New York City saying what he said about Joe 388 00:19:38,480 --> 00:19:42,360 Speaker 1: Biden and saying it's time for Trump again, it's very 389 00:19:42,359 --> 00:19:45,920 Speaker 1: interesting because we're looking at two men who have been president, 390 00:19:46,119 --> 00:19:48,359 Speaker 1: so you don't have a question as to how either 391 00:19:48,400 --> 00:19:48,960 Speaker 1: of them would be. 392 00:19:49,080 --> 00:19:49,440 Speaker 2: You know. 393 00:19:49,880 --> 00:19:52,400 Speaker 1: So when you have the Union guy on the side 394 00:19:52,400 --> 00:19:54,439 Speaker 1: of the road say we want to go back to Trump. 395 00:19:54,720 --> 00:19:57,800 Speaker 1: He's seeing this from a position of knowing what Trump was, 396 00:19:58,359 --> 00:20:01,320 Speaker 1: knowing what that the communit is like under Trump, and 397 00:20:01,400 --> 00:20:05,119 Speaker 1: saying I want that back. That has to panic the Democrats. 398 00:20:05,200 --> 00:20:08,359 Speaker 3: Yeah, you know, we had the correspondence dinner on Saturday, 399 00:20:08,480 --> 00:20:10,600 Speaker 3: and these are all I mean, there's no more sycophantic 400 00:20:10,680 --> 00:20:14,000 Speaker 3: audience than the audience at the Washington Hilton the last 401 00:20:14,000 --> 00:20:17,200 Speaker 3: Saturday in April for the Correspondence dinner. They're like sock puppets, 402 00:20:17,240 --> 00:20:19,480 Speaker 3: you know, sitting there just nodding their heads, you know, 403 00:20:19,560 --> 00:20:23,040 Speaker 3: while while Biden speaks on Sunday, CNN comes out with 404 00:20:23,080 --> 00:20:26,200 Speaker 3: a pole and include if RFK is part of the poll, 405 00:20:26,240 --> 00:20:30,200 Speaker 3: Trump's leading Biden by nine points, takes out he's leading 406 00:20:30,240 --> 00:20:33,680 Speaker 3: him by six. To put that into perspective, Trump never 407 00:20:33,720 --> 00:20:36,199 Speaker 3: had a number like that against Hillary or certainly not 408 00:20:36,240 --> 00:20:39,080 Speaker 3: Biden in twenty twenty. But if the roles were reversed 409 00:20:39,320 --> 00:20:43,480 Speaker 3: and Biden were leading Trump by nine points yesterday, it 410 00:20:43,520 --> 00:20:46,200 Speaker 3: would have been wal to wall. This election is over. 411 00:20:46,760 --> 00:20:49,680 Speaker 3: It's a foregone conclusion. If I'm at the White House, 412 00:20:50,080 --> 00:20:52,280 Speaker 3: I don't what do we do? What can the White 413 00:20:52,280 --> 00:20:53,760 Speaker 3: House do to shake it up? First of all, they've 414 00:20:53,800 --> 00:20:55,600 Speaker 3: got to get rid of Koreen Jean Pierre. I know 415 00:20:55,600 --> 00:20:57,800 Speaker 3: they brought in John Kirby for the tough questions, but 416 00:20:57,880 --> 00:20:59,879 Speaker 3: that's also a really bad look. Bring in a middle 417 00:20:59,880 --> 00:21:02,640 Speaker 3: a white male, you know, whenever the questions get difficult 418 00:21:02,640 --> 00:21:03,239 Speaker 3: about your right. 419 00:21:03,520 --> 00:21:05,000 Speaker 2: That's why they can't get rid of her. 420 00:21:05,119 --> 00:21:07,240 Speaker 3: Yeah, but at this point it's about winning an election. 421 00:21:07,560 --> 00:21:11,560 Speaker 3: And she is so dense, and I mean that literally, 422 00:21:11,640 --> 00:21:15,440 Speaker 3: she is just she cannot answer a question. It's bad 423 00:21:15,480 --> 00:21:18,159 Speaker 3: for the administration and it's bad messaging. Yesterday she was 424 00:21:18,200 --> 00:21:21,520 Speaker 3: able to condemn anti Semitism, but not the riots. Why 425 00:21:21,560 --> 00:21:22,560 Speaker 3: not just go all the way? 426 00:21:23,080 --> 00:21:26,640 Speaker 2: Just go all because they didn't in twenty twenty. They can't. 427 00:21:26,720 --> 00:21:29,680 Speaker 1: They are so paralyzed by this because they just don't 428 00:21:29,760 --> 00:21:32,360 Speaker 1: know how to do it. They want, they need the students. 429 00:21:32,880 --> 00:21:35,800 Speaker 1: They know that the students have gone so far to 430 00:21:35,840 --> 00:21:38,560 Speaker 1: the left that they can't get them back. And if 431 00:21:38,560 --> 00:21:40,879 Speaker 1: they can't get the students, they can't win. Look on 432 00:21:40,960 --> 00:21:45,399 Speaker 1: election night in Michigan for the gubernatorial race, Michigan State 433 00:21:45,600 --> 00:21:48,760 Speaker 1: had their polling place open until eleven o'clock at night 434 00:21:49,080 --> 00:21:52,040 Speaker 1: because they were registering people and having them vote the 435 00:21:52,080 --> 00:21:54,560 Speaker 1: same day. I'm sure these are students that were registered 436 00:21:54,560 --> 00:21:58,280 Speaker 1: at home. They're suddenly registering them here in Michigan. But 437 00:21:58,720 --> 00:22:00,480 Speaker 1: you know who's going to have be the on that. 438 00:22:00,560 --> 00:22:02,680 Speaker 1: I mean, our Secretary of State is a Democrat, right, 439 00:22:02,760 --> 00:22:06,520 Speaker 1: So they're registering people all night. They know that that 440 00:22:06,680 --> 00:22:08,679 Speaker 1: is the vote that puts them over the edge. So 441 00:22:08,880 --> 00:22:11,960 Speaker 1: if they suddenly don't have Jewish people, if they suddenly 442 00:22:12,000 --> 00:22:15,560 Speaker 1: don't have this college students, and they have minorities turning 443 00:22:15,640 --> 00:22:18,600 Speaker 1: against them, because let's face it, Hispanics do not like 444 00:22:18,640 --> 00:22:19,600 Speaker 1: this open border. 445 00:22:19,800 --> 00:22:21,560 Speaker 2: And the black. 446 00:22:21,280 --> 00:22:24,280 Speaker 1: Community believes that they are losing money under Joe Biden 447 00:22:24,560 --> 00:22:27,240 Speaker 1: because they are everybody is as you said, It's like, 448 00:22:27,280 --> 00:22:30,480 Speaker 1: we don't have to guess here, everybody is losing money 449 00:22:30,560 --> 00:22:34,119 Speaker 1: right now. It's a total crap show in the United States. 450 00:22:34,400 --> 00:22:37,760 Speaker 1: And there's nothing that they can say that's good right now. 451 00:22:37,800 --> 00:22:40,560 Speaker 2: I mean, what can they offer. It's that's why Nancy. 452 00:22:40,240 --> 00:22:42,760 Speaker 1: Pelosi's out there like he created all these jobs and 453 00:22:42,760 --> 00:22:43,760 Speaker 1: people are like, oh. 454 00:22:43,800 --> 00:22:47,080 Speaker 3: But did he even like think about student loan forgiveness? 455 00:22:47,280 --> 00:22:49,200 Speaker 3: Like do you really want to forgive these students loans 456 00:22:50,040 --> 00:22:50,920 Speaker 3: right right now? 457 00:22:51,000 --> 00:22:54,040 Speaker 1: I mean, that's a perfect that is a perfect comment 458 00:22:54,119 --> 00:22:57,480 Speaker 1: right there. That's something that the Republicans should be running 459 00:22:57,520 --> 00:23:00,360 Speaker 1: away with. These are the kids. And it's weird too. 460 00:23:00,400 --> 00:23:03,200 Speaker 1: I was talking to someone about this this morning. It's 461 00:23:03,280 --> 00:23:07,320 Speaker 1: very weird to me that these students who are the 462 00:23:07,400 --> 00:23:09,680 Speaker 1: best of the best, unless they are not the best 463 00:23:09,680 --> 00:23:13,160 Speaker 1: of the best, unless they reduce the requirements to get 464 00:23:13,160 --> 00:23:16,119 Speaker 1: into these schools, would have done everything they did to 465 00:23:16,160 --> 00:23:20,600 Speaker 1: get into schools like Columbia to then get expelled because 466 00:23:20,640 --> 00:23:24,119 Speaker 1: they locked the doors and broke the windows over a 467 00:23:24,160 --> 00:23:27,639 Speaker 1: fight that they suddenly just learned it. 468 00:23:27,680 --> 00:23:28,639 Speaker 2: They just learned about this. 469 00:23:28,760 --> 00:23:34,440 Speaker 3: Let's not over did the student body underinformed, overly emotional? 470 00:23:35,080 --> 00:23:37,119 Speaker 3: You know, to say the least, the other part of 471 00:23:37,119 --> 00:23:39,560 Speaker 3: this that is not getting discussed. And I don't know, Tutor, 472 00:23:39,600 --> 00:23:40,520 Speaker 3: Where did you go to school? 473 00:23:41,560 --> 00:23:42,400 Speaker 2: University Kentucky? 474 00:23:42,480 --> 00:23:44,359 Speaker 3: Okay, good school I went to. 475 00:23:44,600 --> 00:23:47,159 Speaker 1: I know We're in the top fifty most conservative schools, 476 00:23:47,160 --> 00:23:48,159 Speaker 1: so I'm proud of them. 477 00:23:48,240 --> 00:23:50,960 Speaker 3: That's that's I like that. I went to small school 478 00:23:50,960 --> 00:23:55,000 Speaker 3: in Connecticut, Fairfield University, Catholic College. There have not been 479 00:23:55,040 --> 00:23:59,800 Speaker 3: any protests at Fairfield. I don't remember seeing anything about 480 00:23:59,800 --> 00:24:03,639 Speaker 3: pro tests at University of Kentucky. I could be wrong, 481 00:24:03,960 --> 00:24:07,160 Speaker 3: but no one about this aspect. Now. Fairfield's a good school. 482 00:24:07,240 --> 00:24:10,679 Speaker 3: Kentucky's a good school. It's not Princeton, Brown, Dartmouth, Harvard, 483 00:24:10,720 --> 00:24:14,440 Speaker 3: Penn Columbia. It's not an Ivy League school where these 484 00:24:14,480 --> 00:24:18,040 Speaker 3: are happening. For the most part, there are exceptions, but 485 00:24:18,119 --> 00:24:22,600 Speaker 3: for the most part, these are the top academic institutions 486 00:24:22,600 --> 00:24:26,560 Speaker 3: in the country that produce the worst people upon graduation, 487 00:24:27,200 --> 00:24:30,159 Speaker 3: and all the schools that just produce good people like 488 00:24:30,440 --> 00:24:35,520 Speaker 3: you and me and just normal, like adjusted, well adjusted, 489 00:24:35,800 --> 00:24:39,480 Speaker 3: normal American people. You're not seeing it there, but nobody 490 00:24:39,480 --> 00:24:42,000 Speaker 3: wants to mention that part of it. You know what. 491 00:24:42,000 --> 00:24:43,000 Speaker 3: I looked at it. I was like, I wonder if 492 00:24:43,000 --> 00:24:44,879 Speaker 3: this is happening last week when it was happening in 493 00:24:44,920 --> 00:24:46,800 Speaker 3: more than one hundred and twenty five college campuses, I 494 00:24:46,840 --> 00:24:48,639 Speaker 3: was like, is Fairfield on that list. 495 00:24:48,760 --> 00:24:53,080 Speaker 1: No, it's not right because those kids are probably also 496 00:24:53,240 --> 00:24:56,800 Speaker 1: not trending to the far left. I mean, what we've 497 00:24:56,840 --> 00:25:00,760 Speaker 1: seen with this get parents out of lives, police kids apart, 498 00:25:01,160 --> 00:25:04,320 Speaker 1: twist up their emotions. They've done this and now they 499 00:25:04,320 --> 00:25:07,480 Speaker 1: don't know how to untwist it. I mean, even John Fetterman. 500 00:25:08,040 --> 00:25:10,879 Speaker 1: You watch John Fetterman, He's almost become like the comic 501 00:25:10,920 --> 00:25:13,840 Speaker 1: relief in this because he's like, yeah, shut up, I'm 502 00:25:13,880 --> 00:25:14,560 Speaker 1: not on your side. 503 00:25:14,600 --> 00:25:16,919 Speaker 3: I love you. He's great. His brain broke, he had 504 00:25:16,960 --> 00:25:20,880 Speaker 3: a stroke before the primary in Pennsylvania, and May he 505 00:25:20,880 --> 00:25:23,200 Speaker 3: healed and he became a Republican. 506 00:25:23,320 --> 00:25:26,240 Speaker 1: I mean, it's I wouldn't say he's a full Republican 507 00:25:26,800 --> 00:25:29,200 Speaker 1: because he's still but he's like, I'm not a progressive, 508 00:25:29,560 --> 00:25:32,320 Speaker 1: and I would have classified him as a progressive. 509 00:25:33,240 --> 00:25:35,320 Speaker 2: His outfit choices are still incredibly odd. 510 00:25:35,400 --> 00:25:35,600 Speaker 3: Yeh. 511 00:25:35,680 --> 00:25:38,679 Speaker 1: But I think that it's powerful that he's just going 512 00:25:38,760 --> 00:25:41,760 Speaker 1: to stand up to these people and not let them go. 513 00:25:42,000 --> 00:25:44,400 Speaker 1: I before I let you go, though, I do have 514 00:25:44,480 --> 00:25:49,879 Speaker 1: to bring up animals, because yeah, yeah, we have a 515 00:25:49,880 --> 00:25:52,600 Speaker 1: little bit of an issue on our side. Everybody is 516 00:25:52,680 --> 00:25:56,399 Speaker 1: wondering who Trump's VP is going to be, so they've 517 00:25:56,440 --> 00:25:58,919 Speaker 1: been like, you know, there's all these different options. I've 518 00:25:59,000 --> 00:26:02,959 Speaker 1: heard Ben Carson, I've heard Tim Scott, I've heard Christy 519 00:26:03,080 --> 00:26:07,640 Speaker 1: Nome and I'm pretty sure she just shot her chances good. 520 00:26:07,880 --> 00:26:13,080 Speaker 3: Well, yes she's she's out of the beepsteaks. Yeah, that's it. 521 00:26:13,080 --> 00:26:16,399 Speaker 3: It's over. The book hasn't come out. I read the 522 00:26:16,440 --> 00:26:18,880 Speaker 3: thing in the Guardian. I don't think there's any way 523 00:26:19,480 --> 00:26:21,639 Speaker 3: that you can make a case, even if there's a 524 00:26:21,680 --> 00:26:24,440 Speaker 3: case to be made for shooting a fourteen month old 525 00:26:24,440 --> 00:26:27,399 Speaker 3: puppy in the head. I just I don't and I 526 00:26:27,400 --> 00:26:30,480 Speaker 3: don't hump pheasant, but I just I don't think there's 527 00:26:30,520 --> 00:26:31,880 Speaker 3: a case to be made for that. And I think 528 00:26:31,920 --> 00:26:35,120 Speaker 3: Trump's too smart to select somebody like Christy Nome. Now, 529 00:26:36,359 --> 00:26:38,359 Speaker 3: I do think it's interesting that Trump got together with 530 00:26:38,400 --> 00:26:41,760 Speaker 3: the Santis, not at Lago over the weekend. Trump went 531 00:26:41,800 --> 00:26:43,480 Speaker 3: to DeSantis, and I. 532 00:26:43,440 --> 00:26:46,119 Speaker 1: Think a weird way he ended that message. Did you 533 00:26:46,200 --> 00:26:50,440 Speaker 1: notice that when he put the message out on true 534 00:26:50,520 --> 00:26:53,240 Speaker 1: Social and at the end he noted the election day, 535 00:26:54,400 --> 00:26:58,359 Speaker 1: I like, met with the Santis November? What is it 536 00:26:58,400 --> 00:26:59,320 Speaker 1: the third or the fifth? 537 00:26:59,320 --> 00:26:59,639 Speaker 3: Fifth? 538 00:27:00,320 --> 00:27:02,600 Speaker 1: November fifth will be a big day. I'm like, okay, 539 00:27:02,640 --> 00:27:04,960 Speaker 1: what what are you playing at? I think he's just 540 00:27:05,040 --> 00:27:06,560 Speaker 1: playing because he loves to play. 541 00:27:07,320 --> 00:27:09,600 Speaker 3: Reagan ran with Bush and they hated each other and 542 00:27:09,640 --> 00:27:13,920 Speaker 3: it was a really contentious primary process, and then Reagan said, 543 00:27:13,920 --> 00:27:19,160 Speaker 3: all right, he's the guy. Kennedy ran with LBJ. They 544 00:27:19,240 --> 00:27:22,960 Speaker 3: actually hated each other, but Kennedy needed Texas. DeSantis, I 545 00:27:23,000 --> 00:27:26,840 Speaker 3: think is the inverse of Reagan and George H. W. Bush. 546 00:27:26,880 --> 00:27:30,640 Speaker 3: Trump can only serve four years, right rightta. 547 00:27:30,800 --> 00:27:33,159 Speaker 1: He has to set somebody up who's going to be 548 00:27:33,320 --> 00:27:36,480 Speaker 1: And that has been the complaint people have had, is like, 549 00:27:36,520 --> 00:27:40,160 Speaker 1: well does if Trump, if something happens to Trump or 550 00:27:40,280 --> 00:27:42,760 Speaker 1: just the next term is a Ben Carson? The right 551 00:27:42,800 --> 00:27:44,639 Speaker 1: guy to step in is it, Tim Scott the right 552 00:27:44,680 --> 00:27:46,959 Speaker 1: guy to step in. People are looking for that person 553 00:27:47,160 --> 00:27:50,080 Speaker 1: who's leading. I've noticed that DeSantis has come out with 554 00:27:50,119 --> 00:27:52,640 Speaker 1: a lot of He's been pushing a lot of that I'm. 555 00:27:52,560 --> 00:27:55,600 Speaker 2: Leading here tweets. You know, if you're watching what he's doing. 556 00:27:55,960 --> 00:27:59,800 Speaker 1: That's also interesting because the messages that he's putting out, 557 00:28:00,400 --> 00:28:03,400 Speaker 1: I am the executive. I can take care of everything, 558 00:28:03,720 --> 00:28:06,479 Speaker 1: and so I don't see that from these other folks. 559 00:28:06,520 --> 00:28:09,280 Speaker 1: I mean certainly not that I'm releasing a book about 560 00:28:09,320 --> 00:28:10,480 Speaker 1: shooting a dog in the head. 561 00:28:10,600 --> 00:28:13,240 Speaker 2: So I'm shaking that she's out. 562 00:28:13,240 --> 00:28:15,840 Speaker 3: And Ben Carson. I like Ben Carson, but he's kind 563 00:28:15,840 --> 00:28:18,240 Speaker 3: of sleepy, you know, like that there's no wow factor, 564 00:28:18,240 --> 00:28:20,320 Speaker 3: there's no pop to Ben Carson. I think. 565 00:28:20,359 --> 00:28:22,919 Speaker 1: Okay, but okay, let me counter that though, because I 566 00:28:22,960 --> 00:28:25,879 Speaker 1: do think that Trump struggles to have somebody who's not 567 00:28:26,040 --> 00:28:29,679 Speaker 1: a little bit quiet, because he loves to be the 568 00:28:29,760 --> 00:28:30,399 Speaker 1: guy who's that. 569 00:28:30,720 --> 00:28:33,160 Speaker 2: He doesn't want anybody to overshadow him. 570 00:28:33,760 --> 00:28:37,080 Speaker 3: Good point, but he lost in twenty twenty, and now 571 00:28:37,080 --> 00:28:39,240 Speaker 3: it's true. It's all about winning now, and I think 572 00:28:39,240 --> 00:28:42,479 Speaker 3: there are DeSantis is a lot to like. If Trump wins, 573 00:28:42,600 --> 00:28:45,400 Speaker 3: he's president for four years, that sets up maybe eight 574 00:28:45,480 --> 00:28:47,760 Speaker 3: years of Ron DeSantis, just like Reagan for eight years 575 00:28:47,760 --> 00:28:50,680 Speaker 3: and Bush before after that, and he should have been Clinton, 576 00:28:50,760 --> 00:28:53,560 Speaker 3: but ross Buro had a huge impact in the ninety 577 00:28:53,600 --> 00:28:57,240 Speaker 3: two election. This is unpopular, but I think that Nicki 578 00:28:57,280 --> 00:29:01,720 Speaker 3: Haley is in the conversation as well. Just Pennsylvania primary 579 00:29:01,800 --> 00:29:04,440 Speaker 3: last week, she got one hundred and fifty five thousand votes, 580 00:29:04,640 --> 00:29:08,320 Speaker 3: seventeen percent of the vote. Trump his campaign to date 581 00:29:08,720 --> 00:29:11,120 Speaker 3: has been lights out, but I think they've got to 582 00:29:11,160 --> 00:29:14,280 Speaker 3: figure out a way to win over those kind of 583 00:29:14,280 --> 00:29:16,400 Speaker 3: middle of the road, those people that like Nicki Haley, 584 00:29:16,960 --> 00:29:20,080 Speaker 3: maybe those more center Republicans. They have to figure it out. 585 00:29:20,200 --> 00:29:24,320 Speaker 3: Pennsylvania was a great example, twenty electoral votes, huge battleground state. 586 00:29:24,560 --> 00:29:28,400 Speaker 3: If Trump gets that sixteen percent that voted for Haley, 587 00:29:28,600 --> 00:29:32,200 Speaker 3: Trump wins Pennsylvania, He's probably president. So you can't write 588 00:29:32,200 --> 00:29:34,160 Speaker 3: off Nicki Haley. I think Desantas and Haley are the 589 00:29:34,160 --> 00:29:35,000 Speaker 3: front runners. 590 00:29:36,000 --> 00:29:39,560 Speaker 1: That is an interesting thought because I had kind of 591 00:29:39,560 --> 00:29:42,320 Speaker 1: been thinking Kamala had ruined it for a woman. 592 00:29:42,080 --> 00:29:43,600 Speaker 2: Because she's so ridiculous. 593 00:29:44,040 --> 00:29:47,840 Speaker 1: However, Nikki Haley is a much different person than Kamala. 594 00:29:47,560 --> 00:29:50,800 Speaker 3: Harris cackle free. 595 00:29:52,200 --> 00:29:54,200 Speaker 2: She comes cackl me that's true. 596 00:29:54,240 --> 00:29:59,000 Speaker 1: So Trump will be in Michigan this week. We are 597 00:29:59,240 --> 00:30:01,920 Speaker 1: pre taping that so people will hear this after. But 598 00:30:02,480 --> 00:30:07,880 Speaker 1: I think that Michigan and Wisconsin will be very interesting states. 599 00:30:08,000 --> 00:30:11,760 Speaker 1: I think that Michigan, to me is very important, and 600 00:30:11,840 --> 00:30:14,480 Speaker 1: I'll just end on this and get your opinion. To me, 601 00:30:14,560 --> 00:30:18,040 Speaker 1: Michigan is very important because even if you're watching graphics 602 00:30:18,080 --> 00:30:21,080 Speaker 1: that they put out of federally elected people who are 603 00:30:21,080 --> 00:30:24,440 Speaker 1: going to have an impact in the country from the 604 00:30:24,480 --> 00:30:29,800 Speaker 1: Democrat side, Whitmer's pictures there. She is a statewide elected 605 00:30:30,080 --> 00:30:33,880 Speaker 1: So I think it's interesting because everybody has said Whitmer 606 00:30:33,920 --> 00:30:38,600 Speaker 1: has been given the pretty much the marching orders that 607 00:30:38,680 --> 00:30:43,840 Speaker 1: you deliver Michigan and you go forward. I think she thinks, well, 608 00:30:43,880 --> 00:30:46,320 Speaker 1: I deliver Michigan and I go into the cabinet and 609 00:30:46,360 --> 00:30:49,720 Speaker 1: then I'm president. Or we heard a horrifying thing the 610 00:30:49,760 --> 00:30:53,280 Speaker 1: other day that said that once she gets once they 611 00:30:53,280 --> 00:30:57,040 Speaker 1: get to the convention, if Michigan is going well in 612 00:30:57,080 --> 00:30:59,760 Speaker 1: the next few months, they swap him out for her. 613 00:30:59,800 --> 00:31:02,240 Speaker 1: I don't see how she and Kamala are on a 614 00:31:02,240 --> 00:31:05,520 Speaker 1: ticket together, but I don't know, because the young people 615 00:31:05,600 --> 00:31:07,840 Speaker 1: love her really interesting. 616 00:31:09,120 --> 00:31:12,360 Speaker 3: I hadn't heard that, but that's really fascinating. I do 617 00:31:12,400 --> 00:31:17,080 Speaker 3: think there's something to Joe maybe not making it to 618 00:31:17,600 --> 00:31:21,000 Speaker 3: November fifth, to election day. Again, it's six months, but 619 00:31:21,440 --> 00:31:23,520 Speaker 3: he's taken a turn for the worse, and this is 620 00:31:23,560 --> 00:31:27,120 Speaker 3: what happens with dementia or whatever he's dealing with between 621 00:31:27,160 --> 00:31:30,240 Speaker 3: the years. But clearly things are not going well for 622 00:31:30,360 --> 00:31:34,479 Speaker 3: Joe Biden upstairs. He can't get through a single scripted speech, 623 00:31:35,640 --> 00:31:39,440 Speaker 3: and he committed with Howard Stern to debating Trump. Trump, 624 00:31:39,520 --> 00:31:41,360 Speaker 3: Like I said, I think the campaign so far as 625 00:31:41,400 --> 00:31:45,160 Speaker 3: Ben Light's out, I think that a debate with Biden 626 00:31:45,440 --> 00:31:48,040 Speaker 3: could definitely benefit Trump, but it could also be a 627 00:31:48,080 --> 00:31:51,200 Speaker 3: trap because Biden twice he has been able to get 628 00:31:51,280 --> 00:31:53,680 Speaker 3: up for these things in the past. Certainly in twenty 629 00:31:53,720 --> 00:31:55,880 Speaker 3: twenty his State of the Union wasn't great, but I 630 00:31:55,880 --> 00:31:57,680 Speaker 3: think a lot of people expected him to like fall 631 00:31:57,680 --> 00:32:02,720 Speaker 3: asleep on stage. That's a tricky one for me, But 632 00:32:02,880 --> 00:32:05,880 Speaker 3: I'm not convinced that Biden makes it. I mean, he's 633 00:32:06,040 --> 00:32:08,360 Speaker 3: eighty one going on eighty two right after election deck, 634 00:32:08,640 --> 00:32:11,320 Speaker 3: so something could happened with his health. But clearly, you 635 00:32:11,360 --> 00:32:15,360 Speaker 3: know upstairs, the cheese has slipped off the cracker for him, let's. 636 00:32:15,200 --> 00:32:17,760 Speaker 1: Take a quick commercial break. We'll continue next on a 637 00:32:17,800 --> 00:32:24,200 Speaker 1: Tutor Dixon podcast. I think you have to remember that 638 00:32:24,320 --> 00:32:28,120 Speaker 1: a debate between Trump and Hillary was equal footing. She 639 00:32:28,400 --> 00:32:30,680 Speaker 1: was able to give as good as she got. That 640 00:32:30,920 --> 00:32:34,000 Speaker 1: was an interesting debate. There were a lot of comments 641 00:32:34,040 --> 00:32:36,920 Speaker 1: made that could be clipped, and it just felt like 642 00:32:37,080 --> 00:32:40,320 Speaker 1: equal footing. Two of the same warriors battling each other. 643 00:32:40,800 --> 00:32:44,520 Speaker 1: The problem with Trump debating Biden is because he is frail, 644 00:32:44,600 --> 00:32:47,840 Speaker 1: because he is fragile. If he pushes, it will turn 645 00:32:47,960 --> 00:32:50,880 Speaker 1: people away from him. Because everybody kind of sees that 646 00:32:51,240 --> 00:32:55,200 Speaker 1: frailness in Joe Biden, and even though they hate. 647 00:32:54,920 --> 00:32:57,000 Speaker 2: It, you don't want to exploit it. 648 00:32:57,040 --> 00:32:58,760 Speaker 1: And so for all of the people out there that 649 00:32:58,800 --> 00:33:00,520 Speaker 1: are always like, I want this to debate, I want 650 00:33:00,520 --> 00:33:02,920 Speaker 1: this debate, you just have to remember that when you 651 00:33:03,040 --> 00:33:05,640 Speaker 1: have someone who is strong, who is confident, who is 652 00:33:05,680 --> 00:33:09,040 Speaker 1: able to push back on someone who should be in 653 00:33:09,160 --> 00:33:11,720 Speaker 1: a nursing home, that could go poorly. 654 00:33:12,160 --> 00:33:14,160 Speaker 3: Yeah. I think so. If you ever watched that movie 655 00:33:14,200 --> 00:33:18,720 Speaker 3: Game Change, it's based on the book two thousand and eight, 656 00:33:19,120 --> 00:33:24,280 Speaker 3: Biden only had one VP debate with Sarah Palin, and 657 00:33:24,560 --> 00:33:28,040 Speaker 3: the whole Biden team said, listen, because this is back 658 00:33:28,080 --> 00:33:30,440 Speaker 3: when Joe still had a brain, so he was, you know, 659 00:33:30,560 --> 00:33:33,520 Speaker 3: successful event in the Senate for a long time, Irish 660 00:33:33,600 --> 00:33:35,120 Speaker 3: gift to gab, you know, he was. You know, we 661 00:33:35,160 --> 00:33:38,160 Speaker 3: didn't hear anything about a stutter back then. Suddenly now right, yeah, 662 00:33:38,240 --> 00:33:41,120 Speaker 3: Joe Biden redeveloped a stutter in his eighties. Remarkable. But 663 00:33:41,160 --> 00:33:43,640 Speaker 3: they told him, they said, listen, when you're debating Sarah Palin, 664 00:33:44,040 --> 00:33:46,600 Speaker 3: let her do ninety percent of the talking because people 665 00:33:46,640 --> 00:33:48,440 Speaker 3: know who you are. You don't need to introduce yourself 666 00:33:48,480 --> 00:33:50,480 Speaker 3: to a national audience. That's what he did. The debate 667 00:33:50,560 --> 00:33:52,640 Speaker 3: went off. You know, it was fine. I think you 668 00:33:52,720 --> 00:33:56,080 Speaker 3: know SNL obviously parodied Sarah Palin. If I were on 669 00:33:56,120 --> 00:34:00,320 Speaker 3: Trump's team right now and he debates Joe Biden, I'd say, looks, President, 670 00:34:01,560 --> 00:34:05,040 Speaker 3: let Joe Biden do ninety nine percent of the talking 671 00:34:05,480 --> 00:34:07,840 Speaker 3: because he will get himself into trouble. You don't need 672 00:34:07,880 --> 00:34:09,839 Speaker 3: to go after Joe Biden. People know who you are. 673 00:34:10,200 --> 00:34:13,160 Speaker 3: But let him. Let him tell stories about how his 674 00:34:13,239 --> 00:34:17,560 Speaker 3: uncle was eaten by other people, you know him. Let 675 00:34:17,600 --> 00:34:19,279 Speaker 3: him go down that lane, which he will do. 676 00:34:19,360 --> 00:34:23,520 Speaker 1: Get him into some good old cannibalism, maybe a swimming pool. 677 00:34:23,280 --> 00:34:26,560 Speaker 3: You know, the poor people of New Guinea. It's but 678 00:34:26,680 --> 00:34:28,439 Speaker 3: let him do that. And I think that's the only 679 00:34:28,480 --> 00:34:30,640 Speaker 3: winning strategy for Trump, which is going to be very 680 00:34:30,680 --> 00:34:33,560 Speaker 3: hard for Trump. If you know Trump in a debate set. 681 00:34:33,680 --> 00:34:36,680 Speaker 1: Exactly well, if you know Trump in any setting, he 682 00:34:36,840 --> 00:34:39,640 Speaker 1: likes to be the person talking, and so that is 683 00:34:39,680 --> 00:34:42,279 Speaker 1: definitely the challenge. So when everybody is like, I want 684 00:34:42,280 --> 00:34:44,120 Speaker 1: to see them debate, I had somebody say to me 685 00:34:44,320 --> 00:34:46,440 Speaker 1: the other day, I want to see them debate because 686 00:34:46,800 --> 00:34:48,400 Speaker 1: I would like to know who I'm voting for. And 687 00:34:48,440 --> 00:34:51,040 Speaker 1: I'm like, come on, I mean, it's different when you 688 00:34:51,120 --> 00:34:54,360 Speaker 1: have two candidates, like for me and at Gretchen Whitmer, 689 00:34:54,360 --> 00:34:56,960 Speaker 1: that was a different story. People really genuinely wanted to 690 00:34:57,000 --> 00:34:58,560 Speaker 1: see who the two of us were. 691 00:34:59,080 --> 00:35:00,560 Speaker 2: You know these guys. 692 00:35:00,719 --> 00:35:03,480 Speaker 1: I don't necessarily, I'm not married to needing a debate, 693 00:35:03,560 --> 00:35:06,319 Speaker 1: but I do think that there should be some sort 694 00:35:06,360 --> 00:35:09,880 Speaker 1: of requirement that he is out in public and people 695 00:35:09,920 --> 00:35:12,200 Speaker 1: get to see who he really is. I'd rather just 696 00:35:12,239 --> 00:35:14,640 Speaker 1: have him to a town hall Joe Biden, because I 697 00:35:14,680 --> 00:35:18,360 Speaker 1: think that's enough for people to go, yeah, he's not okay, 698 00:35:18,480 --> 00:35:21,440 Speaker 1: but we will keep following it and see what happens. 699 00:35:22,440 --> 00:35:25,760 Speaker 3: Yeah, sounds good. I think Joe Biden not doing interviews 700 00:35:25,840 --> 00:35:27,799 Speaker 3: is a big tell. He's a bit as a big 701 00:35:27,880 --> 00:35:30,120 Speaker 3: tell no one on one interviews. So like, I would 702 00:35:30,160 --> 00:35:33,319 Speaker 3: just like to see Joe Biden answer ten questions in 703 00:35:33,360 --> 00:35:36,080 Speaker 3: a row and give reasonable answers. 704 00:35:36,600 --> 00:35:38,799 Speaker 2: I don't know if you saw that weird Drew Barrymore 705 00:35:38,840 --> 00:35:41,759 Speaker 2: interview with Kamala Harris. Why does she have to be 706 00:35:41,880 --> 00:35:45,080 Speaker 2: first of all, Drew Barrymore is very strange where she gets. 707 00:35:45,600 --> 00:35:47,600 Speaker 2: She like pops a squad on the couch and she 708 00:35:47,640 --> 00:35:50,279 Speaker 2: gets right in your face. But she was like, right now, 709 00:35:50,320 --> 00:35:54,200 Speaker 2: we don't need Kamala Harris. We need Mamala Harris. And 710 00:35:54,239 --> 00:35:57,319 Speaker 2: I saw someone like this is the problem. Democrats think 711 00:35:57,360 --> 00:36:00,080 Speaker 2: that these people are surrogate parents and they're supposed to 712 00:36:00,160 --> 00:36:00,760 Speaker 2: be leaders. 713 00:36:01,000 --> 00:36:03,239 Speaker 1: We don't want somebody who is going to come in 714 00:36:03,600 --> 00:36:06,319 Speaker 1: and make the bed and give us a peanut butter 715 00:36:06,360 --> 00:36:09,080 Speaker 1: and jelly at night. We want somebody who's actually going 716 00:36:09,120 --> 00:36:13,320 Speaker 1: to be able to lead and sit down with our adversaries. 717 00:36:12,640 --> 00:36:15,400 Speaker 2: And our allies. And right now, these people can't do it. 718 00:36:15,480 --> 00:36:19,279 Speaker 3: Such a good point. Just don't screw everything up, please, right, 719 00:36:19,360 --> 00:36:19,680 Speaker 3: that's it. 720 00:36:20,520 --> 00:36:21,600 Speaker 2: But that's already happened. 721 00:36:21,640 --> 00:36:25,600 Speaker 1: Yes, Rob Finnerty, thank you so much for your time today. 722 00:36:25,719 --> 00:36:29,560 Speaker 1: It's always fun having you on, and thank you all 723 00:36:29,600 --> 00:36:31,920 Speaker 1: for joining us on the Tutor Dixon Podcast. For this 724 00:36:32,000 --> 00:36:34,880 Speaker 1: episode and others, go to Tutor Dixon podcast dot com. 725 00:36:34,920 --> 00:36:36,920 Speaker 1: You can subscribe right there, or head over to the 726 00:36:37,000 --> 00:36:40,680 Speaker 1: iHeartRadio app, Apple Podcasts, or wherever you get your podcasts 727 00:36:41,040 --> 00:36:42,800 Speaker 1: and join us next time. Have a blessing.