1 00:00:00,920 --> 00:00:03,880 Speaker 1: Welcome to the Tutor Dixon Podcast. Today, I have Michelle 2 00:00:03,960 --> 00:00:06,600 Speaker 1: Tafoya with me. She is one of the most notable 3 00:00:06,640 --> 00:00:11,680 Speaker 1: TV sports personalities and a longtime NFL sideline reporter working 4 00:00:11,720 --> 00:00:15,880 Speaker 1: for both NBC and ESPN. Now she's retired from sports 5 00:00:15,880 --> 00:00:20,360 Speaker 1: and she's talking politics, which is interesting. Michelle, welcome, Thank. 6 00:00:20,120 --> 00:00:21,400 Speaker 2: You, Tutor. It's nice to see you. 7 00:00:21,760 --> 00:00:24,120 Speaker 1: It's good to see you too. So there's a lot 8 00:00:24,160 --> 00:00:26,840 Speaker 1: going on that actually connects to sports, which I think 9 00:00:26,960 --> 00:00:29,880 Speaker 1: is interesting and probably very interesting for you right now. 10 00:00:30,280 --> 00:00:34,959 Speaker 1: We watched this past week as we had Democrats come 11 00:00:34,960 --> 00:00:38,000 Speaker 1: out and say that they were coming to the President's 12 00:00:38,000 --> 00:00:41,479 Speaker 1: address in pink to represent women after the day before 13 00:00:41,640 --> 00:00:42,720 Speaker 1: voting against women. 14 00:00:43,200 --> 00:00:46,199 Speaker 3: It's crazy, right I looked at this pink and this 15 00:00:46,400 --> 00:00:49,320 Speaker 3: idea that they were going to support women. The only 16 00:00:49,560 --> 00:00:54,400 Speaker 3: real thing that they feel supportive of their pro choice 17 00:00:54,760 --> 00:00:58,680 Speaker 3: and that's it. And other than that, I can't really 18 00:00:58,720 --> 00:01:02,040 Speaker 3: think of where they're pro women, because to have not 19 00:01:02,200 --> 00:01:06,960 Speaker 3: a single Democrat vote for this protection of girls and 20 00:01:07,360 --> 00:01:11,240 Speaker 3: girls and women in sports is insane to me, and 21 00:01:11,280 --> 00:01:14,559 Speaker 3: it tells me that they're not representing their constituents, Tutor, 22 00:01:14,880 --> 00:01:18,080 Speaker 3: They're just representing ideology and they did not want to 23 00:01:18,080 --> 00:01:21,680 Speaker 3: give Trump a win. The same thing, same day happened 24 00:01:21,800 --> 00:01:24,480 Speaker 3: in the state that I live. In Minnesota, we had 25 00:01:24,560 --> 00:01:28,000 Speaker 3: a vote on the same issue. They needed one Democrat 26 00:01:28,440 --> 00:01:31,840 Speaker 3: one to cross and vote along with Republicans. Not one 27 00:01:31,840 --> 00:01:35,400 Speaker 3: of them did, and so that same idea protecting girls 28 00:01:35,440 --> 00:01:38,759 Speaker 3: and women in sports here in Minnesota also failed. Again, 29 00:01:38,880 --> 00:01:42,120 Speaker 3: I'm convinced there was coordination. They did not want to 30 00:01:42,160 --> 00:01:44,600 Speaker 3: give this issue a win the night before Trump was 31 00:01:44,640 --> 00:01:46,000 Speaker 3: going to speak to that joint session. 32 00:01:46,480 --> 00:01:49,800 Speaker 1: It just always interested me to watch this because they 33 00:01:49,840 --> 00:01:54,560 Speaker 1: say that children shouldn't be pushed into knowing what their 34 00:01:54,600 --> 00:01:57,360 Speaker 1: gender is. Girls shouldn't play with dolls, and boys shouldn't 35 00:01:57,360 --> 00:01:59,600 Speaker 1: play with trucks and everything. And they even have had 36 00:01:59,680 --> 00:02:02,520 Speaker 1: now in recent years. This is since I've had kids, 37 00:02:02,520 --> 00:02:05,080 Speaker 1: so I would say probably in the last five years, 38 00:02:05,400 --> 00:02:09,000 Speaker 1: there's been a real push for neutral clothing for infants. 39 00:02:09,040 --> 00:02:09,600 Speaker 1: Have you seen this? 40 00:02:10,360 --> 00:02:11,240 Speaker 2: Yeah? I have. 41 00:02:11,639 --> 00:02:15,079 Speaker 3: I have a son who's biologically mine and a daughter 42 00:02:15,120 --> 00:02:18,160 Speaker 3: whom we adopted from South America Columbia when she was 43 00:02:18,160 --> 00:02:22,400 Speaker 3: three months old, so she's really only known us. And 44 00:02:22,480 --> 00:02:25,120 Speaker 3: I can tell you with a son and an adopted daughter, 45 00:02:26,720 --> 00:02:29,560 Speaker 3: they couldn't be more different. In terms of what they 46 00:02:29,560 --> 00:02:32,919 Speaker 3: were attracted to and when in their childhoods. My son 47 00:02:33,040 --> 00:02:36,160 Speaker 3: was always pushing around trucks. And you know, it's not 48 00:02:36,240 --> 00:02:38,000 Speaker 3: that he didn't have access to other things. He was 49 00:02:38,000 --> 00:02:40,119 Speaker 3: at daycare, he was at preschool, he had all these 50 00:02:40,120 --> 00:02:44,080 Speaker 3: things at his access, but he was I'm sorry if 51 00:02:44,120 --> 00:02:45,680 Speaker 3: this offends anyone. 52 00:02:45,800 --> 00:02:47,520 Speaker 2: He was boy through and through. 53 00:02:48,360 --> 00:02:52,279 Speaker 3: My daughter loved all the frozen princesses and all the princesses, 54 00:02:52,560 --> 00:02:56,040 Speaker 3: and now she's a stud little soccer player who loves sports. 55 00:02:56,720 --> 00:02:59,400 Speaker 1: And that's just how it happened. 56 00:02:59,800 --> 00:03:04,560 Speaker 3: To to try to push any one direction is like 57 00:03:04,720 --> 00:03:05,840 Speaker 3: neutrality or whatever. 58 00:03:05,880 --> 00:03:07,440 Speaker 2: It's it's kind of absurd. 59 00:03:07,520 --> 00:03:10,080 Speaker 3: I remember hearing about parents who decided to raise their 60 00:03:10,160 --> 00:03:13,840 Speaker 3: kids in a non binary sort of way. We're not 61 00:03:13,840 --> 00:03:15,320 Speaker 3: going to cut their hair, we're not gonna you know, 62 00:03:15,320 --> 00:03:17,799 Speaker 3: we're gonna give them a very neutral name, and we're 63 00:03:17,840 --> 00:03:19,280 Speaker 3: not going to tell them what they are. 64 00:03:19,360 --> 00:03:20,360 Speaker 2: We're just going to see. 65 00:03:20,160 --> 00:03:24,000 Speaker 1: What happens that. No. I actually a girl that I'm 66 00:03:24,040 --> 00:03:30,400 Speaker 1: friends with her sisters. So her sisters, like niece and nephew, 67 00:03:30,840 --> 00:03:33,720 Speaker 1: they were raised in this situation, which I think is 68 00:03:33,760 --> 00:03:36,800 Speaker 1: so strange. Were you, and honestly, I will say, say 69 00:03:36,800 --> 00:03:39,320 Speaker 1: I had the same experience. I have girls, but I 70 00:03:39,440 --> 00:03:41,560 Speaker 1: was like, when I had girls, I don't want to 71 00:03:41,600 --> 00:03:43,560 Speaker 1: do the princess thing. I'm not going to push the 72 00:03:43,800 --> 00:03:46,080 Speaker 1: Disney princess thing. I remember we got them a Disney 73 00:03:46,080 --> 00:03:48,200 Speaker 1: Princess car and we didn't even put the stickers on. 74 00:03:48,280 --> 00:03:50,440 Speaker 1: We're like, God, they're not going to be that. You 75 00:03:50,520 --> 00:03:55,000 Speaker 1: cannot avoid it. There they were. The next thing, I know, 76 00:03:55,040 --> 00:03:57,320 Speaker 1: I'm doing videos of them singing let it go. You know, 77 00:03:57,400 --> 00:03:58,440 Speaker 1: that's just how it goes. 78 00:03:58,600 --> 00:03:58,800 Speaker 2: Yep. 79 00:03:59,240 --> 00:04:01,520 Speaker 1: But the I think the bizarre thing to me is 80 00:04:01,520 --> 00:04:04,320 Speaker 1: that this is the push for children, which who are 81 00:04:04,440 --> 00:04:08,280 Speaker 1: naturally attracted to bright colors, bright things. All the toys 82 00:04:08,280 --> 00:04:10,360 Speaker 1: are made that way. But now you've got these brands 83 00:04:10,400 --> 00:04:12,720 Speaker 1: that are coming out that are like, you know, plain wood, 84 00:04:12,960 --> 00:04:16,880 Speaker 1: and everything in their wardrobe is cream and beige. But 85 00:04:17,440 --> 00:04:20,479 Speaker 1: the Democrats were willing to come out and say that 86 00:04:20,720 --> 00:04:23,440 Speaker 1: for women they would wear pink. And I'm like. 87 00:04:23,960 --> 00:04:27,400 Speaker 2: That's a great point. Yeah, why pink? Why not neutral? 88 00:04:27,680 --> 00:04:31,000 Speaker 3: Right? You know, But they're always doing something I loved 89 00:04:31,040 --> 00:04:34,320 Speaker 3: as I watched that the joint session, that I did 90 00:04:34,360 --> 00:04:38,839 Speaker 3: see some Republican men in pink ties and some Republican 91 00:04:38,880 --> 00:04:41,720 Speaker 3: women wearing pink sort of reclaiming saying, you know what, 92 00:04:41,760 --> 00:04:46,560 Speaker 3: we're for women too. But the whole notion that they 93 00:04:46,600 --> 00:04:49,719 Speaker 3: will not protect women in sports is insane. And now 94 00:04:49,760 --> 00:04:53,440 Speaker 3: you're seeing and I'm sure you saw this Governor Gavin 95 00:04:53,480 --> 00:04:57,679 Speaker 3: Newsom of California, the staunch Democrats saying yes, it's unfair. 96 00:04:57,720 --> 00:05:00,560 Speaker 3: Now I will point this out. Charlie Kirk went on 97 00:05:00,680 --> 00:05:03,560 Speaker 3: Governor Newsom's podcast, I'm glad that he did, and he 98 00:05:03,600 --> 00:05:07,520 Speaker 3: pushed him, he said, would you support would you stand 99 00:05:07,600 --> 00:05:11,359 Speaker 3: up for this? He never the governor never committed to 100 00:05:11,480 --> 00:05:15,599 Speaker 3: standing up. He just said it is intrinsically unfair. 101 00:05:15,680 --> 00:05:16,760 Speaker 2: But he would not commit. 102 00:05:17,040 --> 00:05:20,840 Speaker 1: Yeah, he politics exactly, and he is very like. This 103 00:05:20,880 --> 00:05:24,120 Speaker 1: is what makes me nervous about trying to normalize Gavin 104 00:05:24,160 --> 00:05:27,960 Speaker 1: Newsom is that he is very easily normalized. He's attractive, 105 00:05:28,120 --> 00:05:31,640 Speaker 1: he is charming. He is someone that I think people 106 00:05:31,960 --> 00:05:34,719 Speaker 1: and I think he knows this about himself. He can 107 00:05:34,839 --> 00:05:38,400 Speaker 1: very much win you over with his little salez. He 108 00:05:39,000 --> 00:05:41,280 Speaker 1: has this way of speaking that makes it it seem 109 00:05:41,440 --> 00:05:44,159 Speaker 1: like he really cares about you. He's a politician, but 110 00:05:44,279 --> 00:05:46,800 Speaker 1: he is very good, very good. But he is a 111 00:05:46,920 --> 00:05:49,320 Speaker 1: radical and we can never forget he's a radical. 112 00:05:50,240 --> 00:05:52,880 Speaker 3: That's the thing that gets lost here in Minnesota. We 113 00:05:52,920 --> 00:05:55,680 Speaker 3: have two Democrat senators. Both are radical, and they paint 114 00:05:55,720 --> 00:05:57,880 Speaker 3: themselves as very middle of the road women, and they're not. 115 00:05:58,400 --> 00:06:00,160 Speaker 3: They're not by the way they vote, they're not by 116 00:06:00,160 --> 00:06:02,480 Speaker 3: the way they act and whom they side with. 117 00:06:02,920 --> 00:06:04,120 Speaker 2: But you're right about Newsom. 118 00:06:04,160 --> 00:06:06,480 Speaker 3: The thing that's got to be drilled home about Newsom 119 00:06:07,040 --> 00:06:10,600 Speaker 3: is his record because as mayor of San Francisco and 120 00:06:10,920 --> 00:06:13,200 Speaker 3: California is where I was born and spent the first 121 00:06:13,200 --> 00:06:15,280 Speaker 3: half of my life. As mayor of San Francisco and 122 00:06:15,279 --> 00:06:19,000 Speaker 3: as governor of that state, the state is in a shambles. 123 00:06:18,760 --> 00:06:22,479 Speaker 3: It is tragic. And I have friends out there who 124 00:06:22,560 --> 00:06:25,200 Speaker 3: suggest that, well, you know what, these fires and the 125 00:06:25,240 --> 00:06:28,599 Speaker 3: Palisades and Altadina really open people's eyes and we're going 126 00:06:28,680 --> 00:06:31,040 Speaker 3: to shift back towards the right. I'll believe it when 127 00:06:31,080 --> 00:06:34,400 Speaker 3: I see it. And this Gavin Newsom trying to look 128 00:06:34,440 --> 00:06:36,760 Speaker 3: at my new podcast, look at this shiny thing over here, 129 00:06:37,080 --> 00:06:40,159 Speaker 3: Ignore these fires and the you know the what's gone 130 00:06:40,160 --> 00:06:43,240 Speaker 3: on under my watch. I'm going to talk to people. 131 00:06:44,200 --> 00:06:46,719 Speaker 3: I wish he'd spend that time fixing things. 132 00:06:46,839 --> 00:06:50,360 Speaker 1: And manipulate people. I mean, he is a master manipulator. 133 00:06:50,440 --> 00:06:52,039 Speaker 1: You know, you read all these stories about what a 134 00:06:52,120 --> 00:06:55,520 Speaker 1: narcissist is, and this guy is like, he's the biggest threat. 135 00:06:55,600 --> 00:06:55,800 Speaker 2: Right. 136 00:06:56,279 --> 00:06:59,120 Speaker 1: Do you think by any means having Charlie kirk On 137 00:06:59,279 --> 00:07:03,480 Speaker 1: as his first guest was just by happenstance. No, of course, not. 138 00:07:03,640 --> 00:07:04,520 Speaker 2: No, no. 139 00:07:04,640 --> 00:07:07,800 Speaker 3: He Charlie has a massive audience and Newsom wanted to 140 00:07:07,839 --> 00:07:11,640 Speaker 3: tap into that following And I haven't seen the entire podcast, 141 00:07:11,680 --> 00:07:14,400 Speaker 3: but I certainly hope Charlie held his feet to the 142 00:07:14,400 --> 00:07:17,880 Speaker 3: fire and took him to task on these issues on 143 00:07:17,920 --> 00:07:20,640 Speaker 3: which Newsom has been a complete, like you. 144 00:07:20,560 --> 00:07:21,640 Speaker 2: Said, a radical. 145 00:07:22,480 --> 00:07:26,320 Speaker 3: So you know, that's what people need to be reminded of. 146 00:07:26,920 --> 00:07:28,640 Speaker 2: And I can't. 147 00:07:29,280 --> 00:07:33,239 Speaker 3: He's an open border governor. They are sanctuary state, sanctuary cities. 148 00:07:34,360 --> 00:07:37,120 Speaker 3: It's those things have to be pushed. So for him 149 00:07:37,160 --> 00:07:39,920 Speaker 3: to try to this is a really interesting tactic. And 150 00:07:39,960 --> 00:07:43,560 Speaker 3: you're right, he's an excellent politician. That's what makes him 151 00:07:43,600 --> 00:07:46,400 Speaker 3: scary to me. I don't want a politician. I want 152 00:07:46,440 --> 00:07:49,920 Speaker 3: someone who cares about the country, about the state, whatever 153 00:07:50,960 --> 00:07:54,080 Speaker 3: about their city. Those are the people I want in office, 154 00:07:54,160 --> 00:07:56,440 Speaker 3: the ones not who are virtue signaling and trying to 155 00:07:57,000 --> 00:08:01,360 Speaker 3: feel good about themselves and control, take control and have power. 156 00:08:01,520 --> 00:08:03,800 Speaker 2: But the ones who actually solve problems. 157 00:08:03,640 --> 00:08:05,960 Speaker 1: Yeah, the ones that care about the people who pay 158 00:08:06,000 --> 00:08:08,960 Speaker 1: the taxes. So he's like, he is taking the taxes 159 00:08:09,000 --> 00:08:13,560 Speaker 1: from the California people, paying healthcare for illegal immigrants. He's 160 00:08:13,560 --> 00:08:16,920 Speaker 1: got this border wide open, like you said, the homeless. 161 00:08:17,120 --> 00:08:19,840 Speaker 1: The homelessness problem in California, to me is a very 162 00:08:19,840 --> 00:08:23,160 Speaker 1: interesting case study because in the time that he has 163 00:08:23,200 --> 00:08:26,240 Speaker 1: been governor, they continue to put more money into the 164 00:08:26,280 --> 00:08:30,080 Speaker 1: homelessness problem. The homelessness problem continues to get worse. It's 165 00:08:30,160 --> 00:08:33,400 Speaker 1: kind of under the theory of the more government you build, 166 00:08:33,840 --> 00:08:36,520 Speaker 1: the more it will do to continue to stay there. 167 00:08:36,720 --> 00:08:40,320 Speaker 1: So if they solve the homelessness problem, then all of 168 00:08:40,320 --> 00:08:44,200 Speaker 1: these and we're talking in I think in La and 169 00:08:44,320 --> 00:08:47,760 Speaker 1: San Francisco, they're each close to a billion dollars now 170 00:08:47,880 --> 00:08:50,520 Speaker 1: in funding for a homelessness program. 171 00:08:51,200 --> 00:08:52,520 Speaker 2: So what is that program doing. 172 00:08:52,840 --> 00:08:55,839 Speaker 3: If you're spending all that money, then these people shouldn't 173 00:08:55,920 --> 00:08:58,440 Speaker 3: really be homeless, shouldn't They shouldn't they be solving it. 174 00:08:58,920 --> 00:09:05,200 Speaker 3: This is what's called getting people dependent on government. So 175 00:09:05,240 --> 00:09:07,680 Speaker 3: if they're really good to the homeless and they feed them, 176 00:09:07,720 --> 00:09:10,200 Speaker 3: and they give them tents as they do in Portland, Oregon, 177 00:09:10,559 --> 00:09:13,400 Speaker 3: and they give them food, and they give them medical care. 178 00:09:14,120 --> 00:09:19,120 Speaker 3: What is the motivation for these people to pull themselves up, 179 00:09:19,200 --> 00:09:22,200 Speaker 3: get the help they need to transition back into a 180 00:09:22,240 --> 00:09:24,640 Speaker 3: productive life where they can have their own home. 181 00:09:25,559 --> 00:09:28,280 Speaker 2: You know, it's it's what's happening in California. Again. 182 00:09:28,320 --> 00:09:31,520 Speaker 3: I really hope that people continue to open their eyes 183 00:09:31,559 --> 00:09:34,400 Speaker 3: and call this out for what it is. It is 184 00:09:34,600 --> 00:09:38,679 Speaker 3: virtue signaling, and it is creating a dependent class. And 185 00:09:39,200 --> 00:09:42,080 Speaker 3: you know, I'm hearing rumors that in place of all 186 00:09:42,120 --> 00:09:44,440 Speaker 3: those beautiful homes that were there on the coast, that 187 00:09:44,480 --> 00:09:47,080 Speaker 3: people paid for and worked for and some you know 188 00:09:47,240 --> 00:09:50,240 Speaker 3: somewhere in their families for decades and decades, they now 189 00:09:50,240 --> 00:09:53,160 Speaker 3: want to put up multifamily and some low income housing 190 00:09:53,559 --> 00:09:57,400 Speaker 3: to make it quote unquote equitable. And you know, there 191 00:09:57,400 --> 00:10:00,800 Speaker 3: are no guarantees about equal outcomes, just equal opportunity in 192 00:10:00,800 --> 00:10:03,720 Speaker 3: this country. So give people the opportunity to aspire to 193 00:10:03,760 --> 00:10:06,400 Speaker 3: be whatever they want to be. Don't promise them an 194 00:10:06,440 --> 00:10:09,520 Speaker 3: equal outcome, because all you're doing is lowering the standards 195 00:10:09,520 --> 00:10:10,640 Speaker 3: for everybody else. 196 00:10:11,120 --> 00:10:13,760 Speaker 1: And again, you take away from someone who had a 197 00:10:13,840 --> 00:10:16,800 Speaker 1: tragedy and you say now that because of this tragedy, 198 00:10:16,840 --> 00:10:19,680 Speaker 1: you don't belong here anymore. I mean, I imagine that 199 00:10:20,000 --> 00:10:22,840 Speaker 1: those are the things they fight against in other areas, 200 00:10:22,880 --> 00:10:25,600 Speaker 1: But in the United States, if there's a tragedy, then oh, 201 00:10:25,679 --> 00:10:28,000 Speaker 1: let's get rid of the people who actually were living 202 00:10:28,040 --> 00:10:31,240 Speaker 1: there before, because we want to put other people there. 203 00:10:31,559 --> 00:10:36,040 Speaker 1: It's totally crazy. But going back to the homelessness situation, 204 00:10:36,320 --> 00:10:39,080 Speaker 1: I think this is similar to what we're seeing with 205 00:10:39,240 --> 00:10:43,640 Speaker 1: the Department of ED. People don't once a department is created, 206 00:10:43,920 --> 00:10:45,920 Speaker 1: there's a lot of fear over getting rid of it. 207 00:10:46,120 --> 00:10:48,559 Speaker 1: You have Linda McMahon right now saying, yeah, I'm working 208 00:10:48,600 --> 00:10:51,560 Speaker 1: myself out of a job, and I think that she's 209 00:10:51,640 --> 00:10:54,600 Speaker 1: going to have a task ahead of her because she's 210 00:10:54,640 --> 00:10:58,120 Speaker 1: going to have to explain how this works and it's 211 00:10:58,240 --> 00:11:01,200 Speaker 1: better and it doesn't hurt education, and it will that's 212 00:11:01,240 --> 00:11:03,520 Speaker 1: the truth about it. But I mean that really should 213 00:11:03,520 --> 00:11:05,360 Speaker 1: be the way it should work in California with these 214 00:11:05,360 --> 00:11:08,880 Speaker 1: big agencies as well. We don't want to spend six 215 00:11:09,000 --> 00:11:12,320 Speaker 1: hundred million dollars in LA every year on homelessness. We 216 00:11:12,360 --> 00:11:14,520 Speaker 1: want to solve the problem and we want ourselves to 217 00:11:14,520 --> 00:11:17,800 Speaker 1: be out of a job. This is This is interesting 218 00:11:17,840 --> 00:11:21,360 Speaker 1: as I watch how people react to the idea of 219 00:11:21,440 --> 00:11:24,640 Speaker 1: shutting something down, and to me, the Department of Ed 220 00:11:24,800 --> 00:11:27,560 Speaker 1: is the best example. There's going to be ways to 221 00:11:27,640 --> 00:11:31,360 Speaker 1: still have federal funding. Do you need an entire department 222 00:11:31,400 --> 00:11:31,840 Speaker 1: around it? 223 00:11:32,320 --> 00:11:35,080 Speaker 3: We didn't up until nineteen seventy nine when it was created. 224 00:11:35,679 --> 00:11:37,600 Speaker 3: You know, my mom was a school teacher for her 225 00:11:37,720 --> 00:11:41,880 Speaker 3: entire career, and unions or the bane of her existence, 226 00:11:41,920 --> 00:11:45,800 Speaker 3: this inability to access the things that she taught. 227 00:11:45,800 --> 00:11:46,199 Speaker 2: Spanish. 228 00:11:46,280 --> 00:11:49,000 Speaker 3: She wanted to have a map, different maps of different 229 00:11:49,040 --> 00:11:51,880 Speaker 3: parts of you know, Spanish speaking parts of the world. 230 00:11:52,400 --> 00:11:55,080 Speaker 3: And they couldn't get her that, but they still. 231 00:11:54,880 --> 00:11:56,960 Speaker 2: Took her dues, you know, right. 232 00:11:57,200 --> 00:12:00,160 Speaker 3: And she would go up to Sacramento as a representative, 233 00:12:00,200 --> 00:12:03,680 Speaker 3: and she just came home and you could see from 234 00:12:03,679 --> 00:12:06,079 Speaker 3: the look in her eyes and the dejection on her 235 00:12:06,080 --> 00:12:09,280 Speaker 3: face that dealing with these union heads and dealing with 236 00:12:09,320 --> 00:12:13,559 Speaker 3: the politicians was really distasteful to her. So I think 237 00:12:13,800 --> 00:12:18,400 Speaker 3: education needs a massive overhaul. If people can't understand. Look 238 00:12:18,400 --> 00:12:21,680 Speaker 3: here in Minnesota, fifty percent of our kids cannot read 239 00:12:21,679 --> 00:12:24,960 Speaker 3: at grade level, cannot do math at grade level. 240 00:12:25,320 --> 00:12:26,320 Speaker 2: What are we doing? 241 00:12:26,800 --> 00:12:29,040 Speaker 3: We're wasting a lot of time in the classroom teaching 242 00:12:29,080 --> 00:12:33,360 Speaker 3: pronouns and teaching CRT and DEI, but we're not teaching 243 00:12:33,400 --> 00:12:37,840 Speaker 3: math or reading. It breaks my heart for every child 244 00:12:38,040 --> 00:12:40,720 Speaker 3: in this state and in this country if they can't 245 00:12:41,080 --> 00:12:43,920 Speaker 3: read and have the tools to progress in their lives 246 00:12:43,960 --> 00:12:45,440 Speaker 3: as productive human beings. 247 00:12:45,679 --> 00:12:50,160 Speaker 2: So whatever we're doing isn't working and it needs an overhaul. 248 00:12:50,520 --> 00:12:53,400 Speaker 3: And if the states can have control of their own education, 249 00:12:54,000 --> 00:12:56,960 Speaker 3: then you know they can compete again and say, you know, look, 250 00:12:57,120 --> 00:12:59,960 Speaker 3: I mean right now, the fact that Louisiana is doing 251 00:13:00,160 --> 00:13:01,240 Speaker 3: so well in education, it. 252 00:13:01,240 --> 00:13:02,679 Speaker 2: Used to not be that way. 253 00:13:03,080 --> 00:13:06,480 Speaker 3: California, Minnesota, Michigan used to be the states with you know, 254 00:13:06,920 --> 00:13:11,559 Speaker 3: vying for those top spots in education, and they're woefully 255 00:13:12,200 --> 00:13:15,240 Speaker 3: underachieving right now, and it is so disheartening to see. 256 00:13:15,280 --> 00:13:17,680 Speaker 1: We've got more coming up with Michelle Tafoya, but first 257 00:13:17,720 --> 00:13:20,480 Speaker 1: I want to share about my partners at Preborn. When 258 00:13:20,480 --> 00:13:23,760 Speaker 1: a woman faces an unplanned pregnancy, she's often pressured to 259 00:13:23,960 --> 00:13:26,720 Speaker 1: end her child's life. She wants to choose life, but 260 00:13:26,840 --> 00:13:29,600 Speaker 1: society and those around her are telling her that her 261 00:13:29,640 --> 00:13:32,559 Speaker 1: baby is not a life. And that's where the Ministry 262 00:13:32,559 --> 00:13:35,960 Speaker 1: of Preborn steps in Preborn and Their network of clinics 263 00:13:36,000 --> 00:13:39,880 Speaker 1: offer compassionate, loving care to mothers and the support they 264 00:13:39,920 --> 00:13:43,520 Speaker 1: need to help them choose life, including a free ultrasound. 265 00:13:43,960 --> 00:13:47,000 Speaker 1: When that mother gets to hear her child's beautiful heartbeat, 266 00:13:47,120 --> 00:13:49,920 Speaker 1: she's twice as likely to choose life, and you could 267 00:13:49,960 --> 00:13:52,920 Speaker 1: help with that. 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That's preborn 277 00:14:26,800 --> 00:14:31,200 Speaker 1: dot com slash dixon sponsored by Preborn. There's nothing more 278 00:14:31,240 --> 00:14:34,040 Speaker 1: important than choosing life. Stay tuned. We'll be back with 279 00:14:34,120 --> 00:14:40,200 Speaker 1: more after this. Michigan is forty first in the entire 280 00:14:40,240 --> 00:14:43,240 Speaker 1: country when it comes to education, and we've seen this 281 00:14:43,560 --> 00:14:46,840 Speaker 1: since the pandemic. My gosh, the amount of the ability 282 00:14:46,880 --> 00:14:50,360 Speaker 1: to read has declined significantly. But the crazy part about 283 00:14:50,400 --> 00:14:52,880 Speaker 1: this is we also know that the ability to read 284 00:14:52,960 --> 00:14:56,200 Speaker 1: is directly connected to your chances of going to prison 285 00:14:56,320 --> 00:14:59,040 Speaker 1: in life. And if you can't read, you almost are 286 00:14:59,080 --> 00:15:01,600 Speaker 1: automatically going to end up in prison. It's just a 287 00:15:01,760 --> 00:15:05,880 Speaker 1: devastating consequence. And we don't know why people aren't why 288 00:15:05,880 --> 00:15:09,960 Speaker 1: there isn't leadership holding these schools and these teachers and 289 00:15:10,080 --> 00:15:13,080 Speaker 1: the government accountable, because really, when you look at what 290 00:15:13,240 --> 00:15:17,040 Speaker 1: the government is meant to provide to the people, and 291 00:15:17,120 --> 00:15:19,400 Speaker 1: I think this part is very interesting because people are 292 00:15:19,400 --> 00:15:21,200 Speaker 1: always like, I want government to come in and save me. 293 00:15:21,240 --> 00:15:23,360 Speaker 1: I want government to do this. Well, we should have 294 00:15:23,400 --> 00:15:26,240 Speaker 1: public safety. We've agreed that we're going to have public schools. 295 00:15:26,520 --> 00:15:29,520 Speaker 1: What is the point of having public schools that do 296 00:15:29,560 --> 00:15:33,200 Speaker 1: not provide the ability of these children to actually read 297 00:15:33,320 --> 00:15:35,680 Speaker 1: and have a life. I mean, if you've robbed them 298 00:15:35,720 --> 00:15:38,240 Speaker 1: of that from K through twelve, you have robbed them 299 00:15:38,320 --> 00:15:41,440 Speaker 1: of any chance going forward. So again you look at 300 00:15:41,480 --> 00:15:43,560 Speaker 1: these people that are like, well, we have to keep 301 00:15:43,600 --> 00:15:46,880 Speaker 1: feeding this machine. We have to keep feeding the Department 302 00:15:46,920 --> 00:15:49,240 Speaker 1: of the Federal Department of ED. But even on the 303 00:15:49,240 --> 00:15:52,280 Speaker 1: state level. We feed the machine, but we don't get 304 00:15:52,320 --> 00:15:54,280 Speaker 1: anything out of the machine that's useful. 305 00:15:54,560 --> 00:15:56,080 Speaker 2: The machine ain't delivering. 306 00:15:56,120 --> 00:15:58,160 Speaker 3: And I want to tell you a quick anecdote because 307 00:15:59,160 --> 00:16:01,280 Speaker 3: I hear in minnesot To where I lived tutor. I 308 00:16:01,440 --> 00:16:04,520 Speaker 3: tried to become a reading tutor, and I found an 309 00:16:04,600 --> 00:16:07,560 Speaker 3: organization nearby that where you could go to certain schools 310 00:16:07,560 --> 00:16:09,640 Speaker 3: and help kids read. But you had to take a 311 00:16:09,720 --> 00:16:13,640 Speaker 3: ninety minute online zoom training. So I signed up for it. 312 00:16:13,680 --> 00:16:17,120 Speaker 3: I went and I took it. We were thirty seconds 313 00:16:17,120 --> 00:16:21,680 Speaker 3: in when the twenty two year old girl instructing us 314 00:16:21,680 --> 00:16:25,040 Speaker 3: on tutoring said, if you come here to do this, 315 00:16:25,200 --> 00:16:29,000 Speaker 3: you must first understand that this is primarily a problem 316 00:16:29,080 --> 00:16:32,560 Speaker 3: for black and brown children, and that this is all 317 00:16:32,600 --> 00:16:36,240 Speaker 3: based on systemic racism. And she went on, and then 318 00:16:36,560 --> 00:16:38,960 Speaker 3: I was like, hang in there, Michelle, get through it, 319 00:16:39,000 --> 00:16:41,520 Speaker 3: because all you really want to do is help a 320 00:16:41,600 --> 00:16:42,040 Speaker 3: kid to read. 321 00:16:42,080 --> 00:16:43,640 Speaker 2: That's all you really wanted to say. Hang in there. 322 00:16:43,840 --> 00:16:45,840 Speaker 3: And I kept listening, and you know, there may be 323 00:16:46,000 --> 00:16:49,200 Speaker 3: children who don't look like you, there may be trans children. 324 00:16:49,480 --> 00:16:51,840 Speaker 3: You must be okay with tutoring. And I'm like, hang on, 325 00:16:52,160 --> 00:16:55,400 Speaker 3: hang in there, Michelle, and finally when I reached in 326 00:16:55,440 --> 00:16:57,080 Speaker 3: and hung up on the zoom was when. 327 00:16:56,920 --> 00:16:58,600 Speaker 2: She listed words. 328 00:16:58,680 --> 00:17:00,600 Speaker 3: She said, all right, I want to look at something 329 00:17:01,440 --> 00:17:08,120 Speaker 3: black and blank, husband and blank, salt and blank, peanut 330 00:17:08,160 --> 00:17:11,440 Speaker 3: butter and blank. Now, how do you fill in those blanks? 331 00:17:11,920 --> 00:17:15,240 Speaker 3: That would be based on your internal biases? If you 332 00:17:15,320 --> 00:17:19,359 Speaker 3: say husband and wife, you are you're biased. So I 333 00:17:19,560 --> 00:17:21,879 Speaker 3: just hung up. I couldn't take it anymore. And I 334 00:17:21,960 --> 00:17:27,959 Speaker 3: was so angry that this group in order to they 335 00:17:28,000 --> 00:17:30,720 Speaker 3: were indoctrinating even the tutors, you know it. 336 00:17:32,359 --> 00:17:36,200 Speaker 1: It was infuriating. Well, and instead of teaching phonics, I mean, 337 00:17:36,280 --> 00:17:38,879 Speaker 1: you could think of what you could have really learned 338 00:17:38,880 --> 00:17:40,760 Speaker 1: in that period of time to help a child in 339 00:17:40,920 --> 00:17:44,280 Speaker 1: exactly that to me has been interesting. We've seen gosh, 340 00:17:44,359 --> 00:17:46,880 Speaker 1: I don't know. I feel like even the governor of 341 00:17:47,080 --> 00:17:50,320 Speaker 1: Michigan said this recently, is that we should get back 342 00:17:50,359 --> 00:17:54,440 Speaker 1: to phonics. This has been a battle for twenty years 343 00:17:54,480 --> 00:17:57,360 Speaker 1: of people saying we should never have gotten away from phonics. 344 00:17:57,640 --> 00:18:00,320 Speaker 1: This is a messed up system, which I you know, 345 00:18:00,359 --> 00:18:03,400 Speaker 1: I will never criticize if somebody finally comes out and says, Okay, 346 00:18:03,440 --> 00:18:05,520 Speaker 1: we figured out this screwed up. This was a screw 347 00:18:05,600 --> 00:18:09,080 Speaker 1: up because we do. I mean, things change, and you 348 00:18:09,200 --> 00:18:12,119 Speaker 1: do over time realize that it is a problem. But 349 00:18:12,280 --> 00:18:15,000 Speaker 1: the fact that we have so many people and Secretary 350 00:18:15,119 --> 00:18:18,640 Speaker 1: McMahon was saying this too, we need to get phonics 351 00:18:18,680 --> 00:18:21,240 Speaker 1: back into schools. Well, if that's what we can do 352 00:18:21,320 --> 00:18:24,040 Speaker 1: from the federal level or even from the state level, 353 00:18:24,480 --> 00:18:27,800 Speaker 1: I really think it's a matter of sitting back and 354 00:18:27,880 --> 00:18:30,760 Speaker 1: stopping this idea that we just throw money at a 355 00:18:30,800 --> 00:18:33,240 Speaker 1: problem and that one side doesn't want to find it 356 00:18:33,280 --> 00:18:35,800 Speaker 1: and the other side does. I love our public schools. 357 00:18:35,960 --> 00:18:38,399 Speaker 1: Our public schools are critical, but they've got to be 358 00:18:38,440 --> 00:18:41,040 Speaker 1: able to teach something the right way. And if phonics 359 00:18:41,080 --> 00:18:43,480 Speaker 1: is the answer, then we should all get behind phonics. 360 00:18:43,560 --> 00:18:44,840 Speaker 2: Yeah, I agree with that. 361 00:18:45,560 --> 00:18:49,720 Speaker 3: The I don't know if it's the teachers' unions, but 362 00:18:50,720 --> 00:18:53,480 Speaker 3: if Randy Weingarten is any example of what the teachers' 363 00:18:53,560 --> 00:18:59,840 Speaker 3: unions represent, that is a bad example because she's not 364 00:19:00,280 --> 00:19:04,080 Speaker 3: really in it fighting for phonics and fighting for kids 365 00:19:04,119 --> 00:19:07,840 Speaker 3: to raise the bar for kids. She's actually talking about 366 00:19:08,240 --> 00:19:11,280 Speaker 3: lowering the bar, lowering standards, taking math out of certain 367 00:19:11,280 --> 00:19:14,720 Speaker 3: classrooms because it's quote unquote racist. All of these crazy 368 00:19:14,920 --> 00:19:19,119 Speaker 3: ideas to turn kids more and more into victims instead 369 00:19:19,119 --> 00:19:24,360 Speaker 3: of helping them become resilient, productive, The smart people they 370 00:19:24,400 --> 00:19:27,760 Speaker 3: can become, the wise people they can become, the educated 371 00:19:27,800 --> 00:19:31,960 Speaker 3: people they can become. And you know, we're seeing it 372 00:19:32,119 --> 00:19:36,640 Speaker 3: manifest itself all over society. When you've got kids in college, 373 00:19:36,880 --> 00:19:41,280 Speaker 3: you know, pro Hamas protesters, all of this stuff is 374 00:19:41,320 --> 00:19:44,160 Speaker 3: not based on yeah, you know what, I want to graduate. 375 00:19:44,200 --> 00:19:46,360 Speaker 3: I want to go get work, or maybe I don't 376 00:19:46,359 --> 00:19:48,000 Speaker 3: go to college. I become a plumber and make a 377 00:19:48,040 --> 00:19:51,399 Speaker 3: fortune and go be able to raise a family and 378 00:19:51,440 --> 00:19:55,000 Speaker 3: pay my bills. There is honor in all kinds of work. 379 00:19:55,080 --> 00:19:57,400 Speaker 3: You do not need to be college educated to find 380 00:19:57,440 --> 00:19:59,360 Speaker 3: an honorable position in this society. 381 00:20:00,160 --> 00:20:03,479 Speaker 1: These universities have been very hard on our kids. To 382 00:20:03,520 --> 00:20:06,920 Speaker 1: your point about the people that have been out there 383 00:20:06,960 --> 00:20:11,400 Speaker 1: protesting for Hamas, we actually have a guy here who 384 00:20:11,480 --> 00:20:13,440 Speaker 1: is running for mayor of one of the cities on 385 00:20:13,480 --> 00:20:16,439 Speaker 1: the southeast side of Michigan, and he was telling a 386 00:20:16,440 --> 00:20:19,800 Speaker 1: story as a young Arab kid who grew up in 387 00:20:20,040 --> 00:20:22,800 Speaker 1: Michigan then went to the University of Michigan. He said, 388 00:20:22,960 --> 00:20:25,399 Speaker 1: I went to the University of Michigan and I was 389 00:20:25,480 --> 00:20:29,760 Speaker 1: told there is no God and all white people are bad, 390 00:20:30,200 --> 00:20:32,560 Speaker 1: and he said, I was convinced. And this is a 391 00:20:32,680 --> 00:20:34,679 Speaker 1: kid who grew up in a Muslim home, which is 392 00:20:35,240 --> 00:20:38,560 Speaker 1: and you know, it's interesting because I feel like in 393 00:20:38,880 --> 00:20:41,880 Speaker 1: that culture is very strict, and yet he was still 394 00:20:42,480 --> 00:20:45,480 Speaker 1: pulled away and he said, I was pulled away from 395 00:20:45,480 --> 00:20:48,800 Speaker 1: God and I was I was isolated by saying, you know, 396 00:20:48,840 --> 00:20:51,480 Speaker 1: everybody else around me is bad, right. And it was 397 00:20:51,520 --> 00:20:53,639 Speaker 1: a very interesting story because he tells of how he 398 00:20:53,680 --> 00:20:56,640 Speaker 1: got He went to Ohio. He ended up in this town, 399 00:20:56,680 --> 00:20:59,879 Speaker 1: this little little town where everybody was white, and he 400 00:21:00,280 --> 00:21:02,280 Speaker 1: felt like people looked at him and they were like, 401 00:21:02,680 --> 00:21:04,840 Speaker 1: who are you? And he said he went out and 402 00:21:04,840 --> 00:21:07,639 Speaker 1: he was playing basketball with people from work and this 403 00:21:07,680 --> 00:21:09,520 Speaker 1: guy kept getting in his vase and he said, I 404 00:21:09,560 --> 00:21:11,520 Speaker 1: just realized in that moment, this is it. He's going 405 00:21:11,520 --> 00:21:13,239 Speaker 1: to beat the crab by me and there's nothing I'm 406 00:21:13,280 --> 00:21:15,480 Speaker 1: going to do. And he said everybody else on the 407 00:21:15,520 --> 00:21:17,679 Speaker 1: team got in front of him and said give him 408 00:21:17,720 --> 00:21:20,400 Speaker 1: a break, man. And he said it was a defining 409 00:21:20,440 --> 00:21:22,920 Speaker 1: moment in my life where I said, wow, I've been 410 00:21:22,920 --> 00:21:26,639 Speaker 1: listening to the people who say everybody's against you and 411 00:21:26,680 --> 00:21:29,600 Speaker 1: there's no God, and that has not brought me joy 412 00:21:29,640 --> 00:21:31,840 Speaker 1: in my life, and here these people showed me a 413 00:21:31,840 --> 00:21:33,640 Speaker 1: different side. 414 00:21:34,359 --> 00:21:38,560 Speaker 3: I love stories like this, and I'm hearing them more 415 00:21:38,600 --> 00:21:41,480 Speaker 3: and more. I think people are stepping forward and becoming 416 00:21:41,560 --> 00:21:45,919 Speaker 3: more courageous in telling people, you know what, the side 417 00:21:45,960 --> 00:21:49,159 Speaker 3: you've asked me to be on has failed me. You 418 00:21:49,400 --> 00:21:51,920 Speaker 3: tried to tell me all of these things that I've 419 00:21:52,000 --> 00:21:56,480 Speaker 3: later discovered are not true. And I almost lost myself 420 00:21:56,520 --> 00:22:00,399 Speaker 3: in despair over being told that because I'm black, because 421 00:22:00,440 --> 00:22:05,280 Speaker 3: I'm brown, whatever the case that I am not, that 422 00:22:05,359 --> 00:22:07,119 Speaker 3: I'm going to be at the lower end of the 423 00:22:07,119 --> 00:22:10,960 Speaker 3: totem pole simply because of the color of my skin. 424 00:22:11,760 --> 00:22:16,159 Speaker 3: We had an education activist here in Minnesota testify that 425 00:22:16,440 --> 00:22:17,960 Speaker 3: all throughout her high school she. 426 00:22:17,960 --> 00:22:20,200 Speaker 2: Was teased and told all of these things. 427 00:22:19,880 --> 00:22:22,600 Speaker 3: And she went to college and it was hammered into 428 00:22:22,600 --> 00:22:26,159 Speaker 3: her head even more, and she said, but for some reason, 429 00:22:26,240 --> 00:22:30,160 Speaker 3: she was determined to become an attorney, and she did, 430 00:22:30,600 --> 00:22:34,680 Speaker 3: and now she has kids who are in school, ap students, athletes, 431 00:22:34,800 --> 00:22:38,959 Speaker 3: doing well. And she thought, I overcame this, but you 432 00:22:39,040 --> 00:22:42,760 Speaker 3: all were lying to me about this, And you know, 433 00:22:42,920 --> 00:22:46,719 Speaker 3: I think that lie serves to keep certain people in 434 00:22:46,840 --> 00:22:49,560 Speaker 3: power and other people believing that they can't achieve and 435 00:22:49,600 --> 00:22:51,040 Speaker 3: it angers me. 436 00:22:51,119 --> 00:22:53,360 Speaker 2: No end, I'm cleaning up my language where you did her. 437 00:22:53,760 --> 00:22:58,840 Speaker 1: No, you don't have to do that, it does. And 438 00:22:58,880 --> 00:23:02,480 Speaker 1: I think that's what we've seen since Trump took office. 439 00:23:03,920 --> 00:23:07,800 Speaker 1: That hasn't worked, that didn't win in November, and that 440 00:23:07,880 --> 00:23:10,480 Speaker 1: doesn't mean that it's gone. And I think that's my 441 00:23:10,720 --> 00:23:13,760 Speaker 1: cautionary tale to people, is like this was still a 442 00:23:13,800 --> 00:23:17,439 Speaker 1: close selection. This is still the midterms could go a 443 00:23:17,480 --> 00:23:19,679 Speaker 1: different way, This is still very close. We have to 444 00:23:19,720 --> 00:23:22,119 Speaker 1: make sure that we are constantly out there talking and 445 00:23:22,240 --> 00:23:26,480 Speaker 1: educating and making sure people realize that there is a 446 00:23:26,560 --> 00:23:31,159 Speaker 1: nefarious plan for certain people on the progressive side. And 447 00:23:31,200 --> 00:23:34,320 Speaker 1: you look at what they have done since then. They've 448 00:23:34,359 --> 00:23:38,440 Speaker 1: had multiple experts on their side come out and say, 449 00:23:38,760 --> 00:23:41,600 Speaker 1: first of all, the idea of men and girls' sports 450 00:23:41,640 --> 00:23:44,000 Speaker 1: do not die on that hill that didn't work for you, 451 00:23:44,160 --> 00:23:46,360 Speaker 1: that people don't like it, and they're still. 452 00:23:46,160 --> 00:23:50,159 Speaker 2: On that hill. There's still why. I don't know. I 453 00:23:50,200 --> 00:23:52,560 Speaker 2: don't know. It seems like a. 454 00:23:54,240 --> 00:23:58,719 Speaker 3: Mission that like a fool's errand like where do they 455 00:23:58,720 --> 00:24:00,919 Speaker 3: think they're going with this? I think that they're so 456 00:24:01,200 --> 00:24:08,720 Speaker 3: afraid of losing this very small constituency. But maybe I honestly, 457 00:24:08,800 --> 00:24:12,600 Speaker 3: I can't answer it, don't I don't know. It seems 458 00:24:12,920 --> 00:24:16,520 Speaker 3: really really foolish when I think that what their plan 459 00:24:16,720 --> 00:24:19,160 Speaker 3: is now, and you're seeing it with comments from people 460 00:24:19,200 --> 00:24:21,440 Speaker 3: like Gavinism and even HOCKEYM Jefferies. 461 00:24:21,480 --> 00:24:24,159 Speaker 2: Is slowly we're going to walk our way. 462 00:24:23,920 --> 00:24:26,720 Speaker 3: Back over to that line and across that line and 463 00:24:26,840 --> 00:24:29,399 Speaker 3: support women and girls in sports. We just couldn't do 464 00:24:29,480 --> 00:24:32,119 Speaker 3: it on Trump time because that would make it. 465 00:24:32,240 --> 00:24:35,639 Speaker 1: I wonder though, if they are going to I think 466 00:24:35,720 --> 00:24:39,240 Speaker 1: that they I think that they are trying to toe 467 00:24:39,240 --> 00:24:41,040 Speaker 1: the line and make it look like that. But even 468 00:24:41,200 --> 00:24:45,800 Speaker 1: even in that interview with Charlie, Gavin was saying, you know, 469 00:24:46,800 --> 00:24:50,159 Speaker 1: we don't want to ban books. They had that conversation 470 00:24:50,280 --> 00:24:52,760 Speaker 1: and he was like, well, I don't like the cancel culture, 471 00:24:52,800 --> 00:24:55,200 Speaker 1: and he's kind of dancing around it. And I think, 472 00:24:55,640 --> 00:24:59,000 Speaker 1: I think that we have to be careful about how 473 00:24:59,080 --> 00:25:02,880 Speaker 1: we the message from the other side. They are very 474 00:25:02,920 --> 00:25:05,320 Speaker 1: good at demonizing us. I mean, my gosh, if that 475 00:25:05,400 --> 00:25:07,960 Speaker 1: were the way that we were talking, they would be 476 00:25:08,119 --> 00:25:10,879 Speaker 1: they would be saying, you know, this person wants to 477 00:25:11,200 --> 00:25:13,320 Speaker 1: hurt little kids and they're going to take away their 478 00:25:13,400 --> 00:25:16,280 Speaker 1: choices and all that. But we presented as like, look, 479 00:25:16,480 --> 00:25:20,040 Speaker 1: he's starting to be reasonable. No, do not give him 480 00:25:20,160 --> 00:25:23,119 Speaker 1: that win, because he's not if you listen to the 481 00:25:23,160 --> 00:25:26,479 Speaker 1: way he politics. And I think it's hard because when 482 00:25:26,560 --> 00:25:28,880 Speaker 1: you have a master, when you're so good at it, 483 00:25:29,000 --> 00:25:31,600 Speaker 1: when you're a Bill Clinton or a Barack Obama or 484 00:25:31,640 --> 00:25:36,679 Speaker 1: a Gavin Newsom, this is lying and manipulation is like, 485 00:25:37,160 --> 00:25:39,240 Speaker 1: that's your bread and butter. You love it. It's it's 486 00:25:39,280 --> 00:25:42,280 Speaker 1: who you are. It's like defines them. They're good at it. 487 00:25:42,560 --> 00:25:45,320 Speaker 3: Yeah, here's the thing, though, the other side will say, 488 00:25:46,560 --> 00:25:49,000 Speaker 3: you can say the same exact thing about Trump. I 489 00:25:49,080 --> 00:25:53,480 Speaker 3: have friends who are still convinced and message me saying 490 00:25:53,600 --> 00:25:56,760 Speaker 3: Trump is evil. He is a danger to the world. 491 00:25:56,840 --> 00:25:59,720 Speaker 3: He has a danger to human beings, a danger to 492 00:25:59,800 --> 00:26:04,640 Speaker 3: hum humanity all over the world. And I don't know. 493 00:26:04,680 --> 00:26:08,840 Speaker 3: I haven't seen any camps yet. Trump's filing people into 494 00:26:08,960 --> 00:26:12,680 Speaker 3: I know he's concerned about the United States of America 495 00:26:12,960 --> 00:26:16,679 Speaker 3: and protecting people here and trying to bring peace in 496 00:26:16,760 --> 00:26:19,960 Speaker 3: ways that people aren't used to, which I. 497 00:26:19,880 --> 00:26:20,760 Speaker 2: Think is a good thing. 498 00:26:20,920 --> 00:26:25,000 Speaker 3: So it is amazing how divided we are right now 499 00:26:25,160 --> 00:26:28,760 Speaker 3: that people could use adjectives about Gavin Newsom as you 500 00:26:28,840 --> 00:26:31,960 Speaker 3: just did that he's good at politicking, that he's manipulative, 501 00:26:32,160 --> 00:26:35,439 Speaker 3: and his side would say the same things about Trump 502 00:26:35,440 --> 00:26:36,640 Speaker 3: and about the other side. 503 00:26:36,880 --> 00:26:38,200 Speaker 2: What we have right now is an. 504 00:26:38,080 --> 00:26:41,399 Speaker 3: Opportunity to not screw this up. We have gotten We 505 00:26:41,440 --> 00:26:44,280 Speaker 3: have the Senate, we the House, we have the Supreme Court, 506 00:26:44,359 --> 00:26:47,280 Speaker 3: and we have the presidency and we have to make 507 00:26:47,480 --> 00:26:50,200 Speaker 3: really good use of that and not screw it up 508 00:26:50,560 --> 00:26:52,520 Speaker 3: and make sure that it is a good thing for 509 00:26:52,640 --> 00:26:55,880 Speaker 3: voters and the American people, so that the midterms don't 510 00:26:55,920 --> 00:26:59,119 Speaker 3: suddenly turn on us, so that these ideas and these 511 00:26:59,800 --> 00:27:03,320 Speaker 3: the these policies actually do work for people and do 512 00:27:03,520 --> 00:27:05,040 Speaker 3: represent the majority of the people. 513 00:27:05,400 --> 00:27:06,920 Speaker 2: We can't screw this up. 514 00:27:07,240 --> 00:27:10,600 Speaker 1: So what happens in Minnesota? There's an open Senate seat there? 515 00:27:10,640 --> 00:27:14,800 Speaker 3: Correct, Yeah, there is, and I think the one person 516 00:27:14,800 --> 00:27:17,000 Speaker 3: there are two people who are sort of have thrown 517 00:27:17,000 --> 00:27:18,920 Speaker 3: their hat in the ring. One on the conservative side 518 00:27:19,000 --> 00:27:20,560 Speaker 3: is a guy named Royce White. He used to play 519 00:27:20,600 --> 00:27:22,040 Speaker 3: in the NBA. 520 00:27:22,160 --> 00:27:23,600 Speaker 2: He talks a good line. 521 00:27:23,400 --> 00:27:27,280 Speaker 3: But he's he's a little bit out there and he's 522 00:27:27,560 --> 00:27:29,560 Speaker 3: tried this before and I don't think he has a 523 00:27:29,600 --> 00:27:33,240 Speaker 3: snowballs chance in hell of winning. The other is Peggy Flannagan, 524 00:27:33,280 --> 00:27:36,280 Speaker 3: the lieutenant governor under Tim Walls. And if you think 525 00:27:36,320 --> 00:27:39,320 Speaker 3: Tim Wallas is nuts, you should see Peggy Flannagan. So 526 00:27:39,400 --> 00:27:42,119 Speaker 3: she is as lefty as you are going to get. 527 00:27:42,520 --> 00:27:45,680 Speaker 3: We need a better candidate in that Senate seat. I'm 528 00:27:45,760 --> 00:27:49,600 Speaker 3: hoping to God someone shows up and takes it, because 529 00:27:49,800 --> 00:27:51,560 Speaker 3: it's neither one of these. 530 00:27:52,400 --> 00:27:54,000 Speaker 2: I think if Royce White. 531 00:27:53,800 --> 00:27:57,640 Speaker 3: Runs, he's going to lose, even to Peggy Flanagan because 532 00:27:57,640 --> 00:27:59,679 Speaker 3: people will say, well, she's been the lieutenant governor, she 533 00:27:59,680 --> 00:27:59,960 Speaker 3: can't be. 534 00:28:00,440 --> 00:28:02,960 Speaker 1: I know someone that has good name. Mighty Oh, who's 535 00:28:02,960 --> 00:28:03,639 Speaker 1: that you? 536 00:28:04,040 --> 00:28:04,639 Speaker 2: Ol? Jeez? 537 00:28:07,080 --> 00:28:10,359 Speaker 3: You know I've been asked and let's just say I 538 00:28:10,440 --> 00:28:11,360 Speaker 3: haven't made a decision. 539 00:28:12,000 --> 00:28:15,160 Speaker 1: Okay, stay tuned for more coming up with Michelle Tafoya. 540 00:28:15,200 --> 00:28:16,840 Speaker 1: But first I want to talk to you about my 541 00:28:16,920 --> 00:28:20,080 Speaker 1: partners at IFCJ. After more than a year of war, 542 00:28:20,280 --> 00:28:23,520 Speaker 1: terror and pain in Israel, all of Israel is broken 543 00:28:23,600 --> 00:28:26,679 Speaker 1: hearted to find out about the tragic deaths of the 544 00:28:26,680 --> 00:28:30,320 Speaker 1: Babis children who are being held hostage in Gaza, and 545 00:28:30,400 --> 00:28:33,280 Speaker 1: there are so many who are still hurting throughout the 546 00:28:33,280 --> 00:28:36,399 Speaker 1: Holy Land, where the need for aid continues to grow. 547 00:28:36,760 --> 00:28:40,040 Speaker 1: The International Fellowship of Christians and Jews has supported and 548 00:28:40,160 --> 00:28:43,640 Speaker 1: continues to support the families of hostages and other victims 549 00:28:43,840 --> 00:28:47,600 Speaker 1: of the October seventh terror attacks. With your help, IFCJ 550 00:28:47,800 --> 00:28:51,560 Speaker 1: has provided financial and emotional help to the hostages and 551 00:28:51,600 --> 00:28:54,719 Speaker 1: their families, and to those healing and rebuilding their broken 552 00:28:54,760 --> 00:28:57,560 Speaker 1: homes and their broken bodies. But the real work is 553 00:28:57,840 --> 00:29:01,360 Speaker 1: just beginning. Your gift will help provide critically needed support 554 00:29:01,440 --> 00:29:04,760 Speaker 1: to families in Israel whose lives continued to be destroyed 555 00:29:04,800 --> 00:29:09,040 Speaker 1: by terror and uncertainty as Israel remains surrounded by enemies. 556 00:29:09,440 --> 00:29:12,040 Speaker 1: Give a gift to bless Israel and her people today 557 00:29:12,280 --> 00:29:16,680 Speaker 1: by visiting SUPPORTIFCJ dot org. That's one word, it's support, 558 00:29:16,880 --> 00:29:20,920 Speaker 1: IFCJ dot org. Or you can call eight eight eight 559 00:29:21,360 --> 00:29:25,280 Speaker 1: four eight eight if CJ that's eight eight eight four 560 00:29:25,440 --> 00:29:29,160 Speaker 1: eight eight if CJ. Stay tuned. We've got mare with 561 00:29:29,200 --> 00:29:35,760 Speaker 1: Michelle after this. We're in the same boat. In Michigan. 562 00:29:35,880 --> 00:29:40,040 Speaker 1: We suddenly had Gary Peters retire. It's been interesting. He's 563 00:29:40,040 --> 00:29:41,080 Speaker 1: not running again. 564 00:29:41,440 --> 00:29:42,480 Speaker 2: And we've been talking. 565 00:29:43,800 --> 00:29:46,320 Speaker 1: I have said I'm looking at we have the governor's 566 00:29:46,360 --> 00:29:49,520 Speaker 1: seat and the Senate seat. I'm looking at both of those. 567 00:29:49,920 --> 00:29:50,720 Speaker 2: You're looking at both. 568 00:29:50,800 --> 00:29:51,080 Speaker 1: Good. 569 00:29:51,520 --> 00:29:54,320 Speaker 3: I know you ran for governor against Whitnes right, Yes, 570 00:29:54,960 --> 00:29:58,280 Speaker 3: and how close was that, because I remember sending you money. 571 00:29:58,440 --> 00:30:00,520 Speaker 1: That was it was not as close as we would like. 572 00:30:01,120 --> 00:30:05,600 Speaker 1: She effectively used abortion, and I will say that I 573 00:30:05,600 --> 00:30:08,160 Speaker 1: think a lot of us were unprepared for that, the 574 00:30:08,200 --> 00:30:10,760 Speaker 1: Dobbs decision and for that to be overturned and what 575 00:30:10,800 --> 00:30:13,520 Speaker 1: that would mean, especially in a state like Michigan where 576 00:30:13,760 --> 00:30:16,720 Speaker 1: there was a law already on the books and they 577 00:30:16,800 --> 00:30:19,720 Speaker 1: effectively use that. Now it looks like they are going 578 00:30:19,800 --> 00:30:22,880 Speaker 1: to well, the Secretary of State will run for a governor, 579 00:30:23,280 --> 00:30:26,040 Speaker 1: and then the lieutenant governor looks like he's also going 580 00:30:26,080 --> 00:30:28,080 Speaker 1: to run. So it'll be interesting to watch them go 581 00:30:28,200 --> 00:30:31,240 Speaker 1: after each other. On their side. Yeah, on the Senate side, 582 00:30:31,520 --> 00:30:34,160 Speaker 1: Pete Bootage Edge moved into the state of Michigan a 583 00:30:34,160 --> 00:30:37,520 Speaker 1: few years back, and he is looking at the Senate 584 00:30:37,720 --> 00:30:38,880 Speaker 1: in the state of Michigan. 585 00:30:40,480 --> 00:30:44,320 Speaker 3: I don't know what Michiganers want and don't want, because 586 00:30:44,360 --> 00:30:47,480 Speaker 3: I thought you were such a good candidate. Now, using 587 00:30:47,520 --> 00:30:51,840 Speaker 3: abortion effectively, as you said, worked here in Minnesota too. 588 00:30:51,840 --> 00:30:55,600 Speaker 3: That's what got Tim Walls reelected. And you know, if 589 00:30:55,640 --> 00:30:58,520 Speaker 3: you're on the conservative side of Minnesota, and as the 590 00:30:58,520 --> 00:31:00,840 Speaker 3: candidate said, we will. 591 00:31:00,640 --> 00:31:03,040 Speaker 2: Ban abortion you're not going to win. You are not 592 00:31:03,120 --> 00:31:03,560 Speaker 2: going to win. 593 00:31:03,640 --> 00:31:08,720 Speaker 3: That messaging must change, and you have to understand that 594 00:31:08,840 --> 00:31:11,880 Speaker 3: no matter how pro life you are, the people on 595 00:31:11,920 --> 00:31:15,240 Speaker 3: the other side are just as adamant, if not more so. 596 00:31:15,240 --> 00:31:18,000 Speaker 3: So if you want to win, you almost have to 597 00:31:18,040 --> 00:31:19,320 Speaker 3: take that issue off the table. 598 00:31:19,320 --> 00:31:21,080 Speaker 2: That's in my humble opinion. 599 00:31:21,160 --> 00:31:23,360 Speaker 1: And that in the state of Michigan is off now. 600 00:31:23,360 --> 00:31:26,680 Speaker 1: It's in the constitution, so that it's done. It's a 601 00:31:26,800 --> 00:31:29,479 Speaker 1: done issue, and that I think is a weapon they 602 00:31:29,480 --> 00:31:32,080 Speaker 1: won't be able to use against conservatives. 603 00:31:32,120 --> 00:31:34,760 Speaker 3: Well that's good to hear. So so. 604 00:31:36,360 --> 00:31:37,760 Speaker 2: What can you do to win? 605 00:31:39,040 --> 00:31:40,800 Speaker 1: I don't know. I don't know if, like you know, 606 00:31:40,920 --> 00:31:44,520 Speaker 1: God is mysterious and interesting. I was walking through the 607 00:31:44,600 --> 00:31:48,560 Speaker 1: airport on Thursday, or I guess it was Wednesday night. 608 00:31:48,600 --> 00:31:52,200 Speaker 1: I was walking through the airport in New York and 609 00:31:52,520 --> 00:31:55,360 Speaker 1: brush shoulders with Pete boota judge, and I was like, Oh, 610 00:31:55,400 --> 00:31:55,840 Speaker 1: that's weird. 611 00:31:56,760 --> 00:31:57,880 Speaker 2: That is weird. 612 00:31:58,320 --> 00:32:02,560 Speaker 1: When do you ever see like someone like that and 613 00:32:02,920 --> 00:32:04,880 Speaker 1: literally nearly run into them? 614 00:32:04,960 --> 00:32:06,719 Speaker 2: That is I think that's a sign. 615 00:32:07,000 --> 00:32:12,040 Speaker 1: Well, we'll see, we shall see to be continue, Okay, 616 00:32:12,120 --> 00:32:13,880 Speaker 1: I hear you, but I will support you if you're 617 00:32:13,920 --> 00:32:16,920 Speaker 1: on tutor, we'll same, same and I and I've heard 618 00:32:17,200 --> 00:32:19,240 Speaker 1: a lot of people who have said they'd like to 619 00:32:19,240 --> 00:32:22,080 Speaker 1: see more Republican women in the Senate. So if you, 620 00:32:22,400 --> 00:32:24,560 Speaker 1: I know, if you did decide that, I think you 621 00:32:24,560 --> 00:32:26,720 Speaker 1: would have a massive amount of support. And I think 622 00:32:26,760 --> 00:32:29,920 Speaker 1: the midterms will be very interesting this time because Trump 623 00:32:30,120 --> 00:32:34,160 Speaker 1: is going in and breaking things to build them back better, right, 624 00:32:34,240 --> 00:32:35,720 Speaker 1: And I shouldn't say that. 625 00:32:37,800 --> 00:32:41,160 Speaker 4: To actually build them back, yes, a B B B 626 00:32:42,280 --> 00:32:46,360 Speaker 4: actually build back actually, but he. 627 00:32:46,440 --> 00:32:49,160 Speaker 1: Is and that scares people. I mean I've seen people 628 00:32:49,560 --> 00:32:51,520 Speaker 1: to your point, the people that say that stuff to you, 629 00:32:51,520 --> 00:32:53,560 Speaker 1: they're like, oh my gosh, this is insane, like what 630 00:32:53,600 --> 00:32:56,440 Speaker 1: he's doing. And you're like, you have to understand that 631 00:32:56,560 --> 00:32:59,640 Speaker 1: anybody who takes over a business, like have you ever 632 00:32:59,680 --> 00:33:03,000 Speaker 1: seen that one where what is that guy Gordon Ramsey? 633 00:33:03,240 --> 00:33:04,960 Speaker 1: Oh you know, is that who it is that goes 634 00:33:05,000 --> 00:33:06,640 Speaker 1: in and breaks it and he like goes into the 635 00:33:06,680 --> 00:33:09,640 Speaker 1: restaurant and he thinks this is a disaster. Yes, that 636 00:33:09,760 --> 00:33:12,240 Speaker 1: I feel like Donald Trump is the Gordon Ramsey of 637 00:33:12,240 --> 00:33:15,200 Speaker 1: the United States right now. That's what we need. 638 00:33:15,360 --> 00:33:19,880 Speaker 3: Yet we do need it, and sometimes you know, I 639 00:33:20,000 --> 00:33:23,400 Speaker 3: people are so used to just incremental change, but that's 640 00:33:23,400 --> 00:33:26,120 Speaker 3: sort of death by a thousand cuts. We have incrementally 641 00:33:26,280 --> 00:33:29,720 Speaker 3: changed in Americas too far to the left, but it's 642 00:33:29,760 --> 00:33:33,320 Speaker 3: happened over the course of time with these little, tiny, tiny, 643 00:33:33,520 --> 00:33:36,680 Speaker 3: incremental changes, and they've played the long game well, and 644 00:33:36,720 --> 00:33:37,920 Speaker 3: we find ourselves here. 645 00:33:38,520 --> 00:33:39,360 Speaker 2: I heard us. 646 00:33:39,480 --> 00:33:42,240 Speaker 3: I think it was Steve Moore, former economic advisor to 647 00:33:42,280 --> 00:33:46,440 Speaker 3: the President in Trump's first term, saying that people need 648 00:33:46,440 --> 00:33:50,800 Speaker 3: to understand that the financial situation of this nation is 649 00:33:50,920 --> 00:33:53,400 Speaker 3: far worse than they can imagine, and. 650 00:33:53,280 --> 00:33:55,320 Speaker 2: That what is being trying to be cleaned up. 651 00:33:55,360 --> 00:33:58,240 Speaker 3: It's so necessary. And I think people look at that 652 00:33:58,400 --> 00:34:01,600 Speaker 3: national debt. This is just, to me is a has 653 00:34:01,680 --> 00:34:04,880 Speaker 3: always been a major problem. It's a national security problem. 654 00:34:05,400 --> 00:34:08,399 Speaker 3: And the numbers look so big that they think, eh, 655 00:34:08,600 --> 00:34:11,600 Speaker 3: I can't really conceive of what that number means. So 656 00:34:11,680 --> 00:34:13,440 Speaker 3: therefore I'm not going to worry about it because there's 657 00:34:13,480 --> 00:34:14,480 Speaker 3: nothing I can do about it. 658 00:34:14,560 --> 00:34:17,680 Speaker 2: So we have to. I mean, we absolutely have to. 659 00:34:18,080 --> 00:34:20,200 Speaker 3: And I was happy to see today when the jobs 660 00:34:20,239 --> 00:34:23,840 Speaker 3: numbers came out that government jobs were in decline. We 661 00:34:23,880 --> 00:34:28,320 Speaker 3: don't need more government jobs, we need more private sector jobs. 662 00:34:28,360 --> 00:34:30,640 Speaker 3: We need people who are willing to go out and 663 00:34:30,760 --> 00:34:35,400 Speaker 3: work in competitive industries. Government isn't a competitive industry. It 664 00:34:35,480 --> 00:34:37,319 Speaker 3: is not, yes man, and you're not. 665 00:34:37,520 --> 00:34:39,799 Speaker 1: It doesn't make anything. They don't build anything. They don't 666 00:34:39,840 --> 00:34:43,680 Speaker 1: make money. That's what people forget, and you have. It's 667 00:34:43,719 --> 00:34:47,000 Speaker 1: kind of like Elon Musk is a radiologist. He's going 668 00:34:47,040 --> 00:34:50,399 Speaker 1: through and he's diagnosing the cancer all over and then 669 00:34:50,480 --> 00:34:53,000 Speaker 1: those all of the secretaries are going to go in 670 00:34:53,120 --> 00:34:55,239 Speaker 1: with the scalpel and they're going to cut it all out, 671 00:34:55,520 --> 00:34:58,800 Speaker 1: and that's never been done before, and it's shocking people. Yeah, 672 00:34:58,840 --> 00:35:02,080 Speaker 1: but you're right, wearing a crisis that people don't recognize. 673 00:35:02,239 --> 00:35:02,720 Speaker 1: We are. 674 00:35:03,360 --> 00:35:04,799 Speaker 2: There's no question about that. 675 00:35:04,840 --> 00:35:07,160 Speaker 3: We are in a crisis and people need to wake up, 676 00:35:07,320 --> 00:35:10,040 Speaker 3: look at that debt clock. Let it scare you and 677 00:35:10,120 --> 00:35:14,960 Speaker 3: be open to this because government workers are not guaranteed jobs. 678 00:35:15,080 --> 00:35:18,440 Speaker 3: And for these federal these congress people to come out 679 00:35:18,440 --> 00:35:21,560 Speaker 3: and say we shouldn't have to fire a single federal worker. 680 00:35:21,400 --> 00:35:21,799 Speaker 1: Why not. 681 00:35:22,640 --> 00:35:25,960 Speaker 2: Meta just fired four thousand people. ABC News is firing 682 00:35:26,000 --> 00:35:27,239 Speaker 2: the Good Morning America's death. 683 00:35:27,840 --> 00:35:31,319 Speaker 3: Settle down when you can streamline things and make them 684 00:35:31,320 --> 00:35:34,640 Speaker 3: more efficient and make the DMV a pleasant place to 685 00:35:34,719 --> 00:35:38,600 Speaker 3: visit instead of you know, and the IRS a trustworthy 686 00:35:38,680 --> 00:35:41,480 Speaker 3: organization now you've got my attention, right. 687 00:35:41,640 --> 00:35:44,400 Speaker 1: Yeah, government's not guarantee jobs. I hate to mention it 688 00:35:44,480 --> 00:35:47,560 Speaker 1: to people. There are no guarantee germ. That's that just 689 00:35:47,640 --> 00:35:53,239 Speaker 1: that's the reality, except for being a parent. That's a guarantee. Yes, 690 00:35:53,480 --> 00:35:55,359 Speaker 1: it's that one's going to come for you, no matter 691 00:35:55,360 --> 00:35:58,640 Speaker 1: what time of matter was. Yeah, at three o'clock phone call, 692 00:35:58,840 --> 00:36:01,920 Speaker 1: that's well, let you go. But I just want to say, 693 00:36:02,160 --> 00:36:04,839 Speaker 1: this is like the great example of that. The other day, 694 00:36:04,960 --> 00:36:07,319 Speaker 1: I was in my bathroom and I'm like, I'm in 695 00:36:07,440 --> 00:36:10,440 Speaker 1: the bathroom and my eleven year old goes, let's just 696 00:36:10,520 --> 00:36:12,719 Speaker 1: be honest, you signed up for this. There is no 697 00:36:12,760 --> 00:36:13,560 Speaker 1: privacy for you. 698 00:36:13,719 --> 00:36:16,240 Speaker 2: And year old said those words. 699 00:36:16,320 --> 00:36:17,200 Speaker 1: That's what she said. 700 00:36:17,480 --> 00:36:20,960 Speaker 2: Oh my goodness. Sounds like she's maybe been listening to someone. 701 00:36:21,080 --> 00:36:24,879 Speaker 1: Yeah, totally right, exactly exactly, Yes, I love Yes. Well, 702 00:36:24,880 --> 00:36:27,239 Speaker 1: it has been a joy talking to you today, and 703 00:36:27,480 --> 00:36:30,120 Speaker 1: we are going to be watching. If you do announce 704 00:36:30,320 --> 00:36:35,360 Speaker 1: watching you too, well, you will have my support for sure. Likewise, 705 00:36:35,600 --> 00:36:38,680 Speaker 1: Michelle Tafoya, thank you so much, Thanks Tutor, and thank 706 00:36:38,719 --> 00:36:41,160 Speaker 1: you all for listening to the Tutor Dixon podcast. For 707 00:36:41,200 --> 00:36:44,080 Speaker 1: this episode and others, go to Tutor Dixonpodcast dot com, 708 00:36:44,160 --> 00:36:47,160 Speaker 1: the iHeartRadio app, Apple podcasts, or wherever you get your 709 00:36:47,200 --> 00:36:49,759 Speaker 1: podcasts and join us next time. Have a blessed day.