1 00:00:00,240 --> 00:00:03,279 Speaker 1: Welcome to the Tutor Dixon Podcast. I've got Kyle Olsen 2 00:00:03,440 --> 00:00:07,640 Speaker 1: and Sarah Broadwater with me today. We're coming off of 3 00:00:07,680 --> 00:00:11,200 Speaker 1: an interesting week for Kamala Harris where she is trying 4 00:00:11,240 --> 00:00:14,840 Speaker 1: to connect to black men. And I say that because 5 00:00:15,040 --> 00:00:18,400 Speaker 1: they've very clearly made comments about the fact that she 6 00:00:18,560 --> 00:00:22,080 Speaker 1: is struggling, so they must have internal pulling. That looks 7 00:00:22,320 --> 00:00:25,200 Speaker 1: horrible because that's the only reason you would see Barack 8 00:00:25,239 --> 00:00:29,040 Speaker 1: Obama out there shaming black men. I mean, and he 9 00:00:29,960 --> 00:00:33,199 Speaker 1: genuinely addressed black men and said, you don't want to 10 00:00:33,280 --> 00:00:35,320 Speaker 1: vote for her because she's a woman. So a lot 11 00:00:35,360 --> 00:00:36,839 Speaker 1: of people have come out and they've been kind of 12 00:00:36,880 --> 00:00:40,160 Speaker 1: mad about that and said, you know, no, how dare you? 13 00:00:40,600 --> 00:00:43,320 Speaker 1: It's funny because it fits the Democrat narrative to be 14 00:00:43,440 --> 00:00:47,160 Speaker 1: like you are choosing a victimhood for her. Well, wait 15 00:00:47,200 --> 00:00:51,360 Speaker 1: a minute, you guys are the party that loves to 16 00:00:51,479 --> 00:00:54,960 Speaker 1: have somebody check all these boxes. Are you confused that 17 00:00:55,080 --> 00:00:58,160 Speaker 1: people are not willing to check the Kamala Harris box 18 00:00:58,200 --> 00:01:00,920 Speaker 1: because they've actually heard her speak and they don't like 19 00:01:00,960 --> 00:01:04,640 Speaker 1: what she's saying. So after Barack Obama does that, she 20 00:01:05,040 --> 00:01:08,880 Speaker 1: puts out her opportunity agenda for black men. This is 21 00:01:08,920 --> 00:01:12,280 Speaker 1: her word now is opportunity. Notice they pick words that 22 00:01:12,280 --> 00:01:14,000 Speaker 1: they kind of hang on to, and she has the 23 00:01:14,640 --> 00:01:20,160 Speaker 1: opportunity economy. Now she has the opportunity Agenda for black men, 24 00:01:20,680 --> 00:01:26,920 Speaker 1: which includes some interesting stuff. A million loans that are 25 00:01:26,959 --> 00:01:30,520 Speaker 1: fully forgivable up to twenty thousand dollars for black entrepreneurs 26 00:01:30,520 --> 00:01:33,760 Speaker 1: and others to start a business. So is it just 27 00:01:34,120 --> 00:01:37,640 Speaker 1: for black entrepreneurs or is it everybody? Because what I 28 00:01:37,680 --> 00:01:41,520 Speaker 1: thought it was fifty thousand dollars for starting a new business. 29 00:01:41,560 --> 00:01:44,160 Speaker 1: Wasn't that? What wasn't that her story a couple of 30 00:01:44,160 --> 00:01:45,679 Speaker 1: weeks ago, it was fifty thousand dollars. 31 00:01:45,920 --> 00:01:48,040 Speaker 2: Well yeah, and then of course then there's the twenty 32 00:01:48,040 --> 00:01:51,400 Speaker 2: five thousand dollars down payments and everything. But if she's 33 00:01:51,560 --> 00:01:55,080 Speaker 2: basing something a program like that on somebody the color 34 00:01:55,080 --> 00:01:58,000 Speaker 2: of their skin, isn't that I mean, that's just blatantly illegal, 35 00:01:58,240 --> 00:02:00,640 Speaker 2: isn't it. You can't I would. 36 00:02:00,560 --> 00:02:03,280 Speaker 3: Think, I guess you can do scholarships and certain things, 37 00:02:03,280 --> 00:02:06,440 Speaker 3: but a government funded program seems. 38 00:02:07,000 --> 00:02:09,960 Speaker 1: This isn't scholarships though, this is for starting a business. 39 00:02:10,320 --> 00:02:14,799 Speaker 1: So I so, then does this because the fifty thousand 40 00:02:15,000 --> 00:02:18,000 Speaker 1: was like in tax breaks and stuff. So do you 41 00:02:18,080 --> 00:02:21,560 Speaker 1: get fifty thousand? Does everybody get fifty thousand? And then 42 00:02:21,800 --> 00:02:26,280 Speaker 1: for black entrepreneurs you get an extra twenty thousand dollars 43 00:02:26,320 --> 00:02:27,040 Speaker 1: just handed to you. 44 00:02:27,120 --> 00:02:32,080 Speaker 2: And then to actually answer your question, she doesn't know. Well, yeah, 45 00:02:32,160 --> 00:02:34,680 Speaker 2: she's putting out bullet points because she's scrambling. 46 00:02:34,720 --> 00:02:36,360 Speaker 1: But this is where you have to I mean, this 47 00:02:36,400 --> 00:02:39,280 Speaker 1: is the frustrating part because if we did this on 48 00:02:39,440 --> 00:02:42,360 Speaker 1: our campaign, the media would have been all over me. 49 00:02:42,760 --> 00:02:44,520 Speaker 1: How do you expect to pay for that? How do 50 00:02:44,560 --> 00:02:47,000 Speaker 1: you expect to do that? Who they qualify? 51 00:02:47,639 --> 00:02:50,480 Speaker 3: You talked about police funding and I mean, gosh, they 52 00:02:50,560 --> 00:02:51,960 Speaker 3: lost their minds of the tax rate? 53 00:02:52,040 --> 00:02:54,160 Speaker 1: I mean, and who qualifies for that? Now? Are you 54 00:02:54,280 --> 00:02:56,560 Speaker 1: saying you're only going to give this to certain people? 55 00:02:56,600 --> 00:02:59,440 Speaker 1: I mean they would just go crazy. But that's the 56 00:02:59,520 --> 00:03:01,760 Speaker 1: thing about being on that side of the aisle. You 57 00:03:01,760 --> 00:03:05,239 Speaker 1: can do whatever you want and never have to answer 58 00:03:05,280 --> 00:03:06,760 Speaker 1: to it. I mean, she has this other thing in 59 00:03:06,800 --> 00:03:10,480 Speaker 1: here we were just talking about. It's protect cryptocurrency investment, 60 00:03:10,560 --> 00:03:13,320 Speaker 1: so black men who make them know their money is safe. 61 00:03:13,520 --> 00:03:16,000 Speaker 1: So cryptocurrency is kind of like this new up and 62 00:03:16,040 --> 00:03:19,160 Speaker 1: coming thing. Trump has talked about it. To your point, Sarah, 63 00:03:19,200 --> 00:03:24,480 Speaker 1: and they are now jumping on the bandwagon but colorizing it? 64 00:03:25,800 --> 00:03:27,320 Speaker 2: Why racializing it? 65 00:03:27,560 --> 00:03:31,960 Speaker 1: Yes? Yes, yes, why is it? Or why are you 66 00:03:32,080 --> 00:03:37,600 Speaker 1: only protecting cryptocurrency for one demographic or is it protecting 67 00:03:37,640 --> 00:03:39,600 Speaker 1: for all? And this is just pandering. This is just 68 00:03:39,640 --> 00:03:42,120 Speaker 1: a story to go out and say I got you. 69 00:03:42,760 --> 00:03:44,960 Speaker 3: They continue to talk about how we need to all 70 00:03:45,000 --> 00:03:47,360 Speaker 3: come together and she's going to be the president for 71 00:03:47,440 --> 00:03:50,680 Speaker 3: all people. But everything she does and the whole Democrat 72 00:03:50,680 --> 00:03:53,880 Speaker 3: Party is they want to break people up into boxes 73 00:03:54,280 --> 00:03:57,680 Speaker 3: and give you specifically curated policies for one group, another group, 74 00:03:57,720 --> 00:04:01,800 Speaker 3: for another policy for another group. Nothing is designed for everyone. 75 00:04:01,880 --> 00:04:03,840 Speaker 3: And that's it just gets very odd to me because 76 00:04:03,880 --> 00:04:07,760 Speaker 3: they want us inherently to be battling over this group 77 00:04:07,800 --> 00:04:09,240 Speaker 3: gets that, and this group gets this. 78 00:04:10,040 --> 00:04:14,880 Speaker 2: Well they yes, they separate and they segment and they say, okay, 79 00:04:14,920 --> 00:04:17,720 Speaker 2: we are polling shows that we're struggling with black men. 80 00:04:17,839 --> 00:04:20,440 Speaker 2: So then let's come up with some bullet points that 81 00:04:20,480 --> 00:04:23,360 Speaker 2: we can put out that then, you know, gives people, 82 00:04:23,440 --> 00:04:27,359 Speaker 2: I guess a distraction to talk about something that she 83 00:04:27,440 --> 00:04:31,279 Speaker 2: supposedly is going to do. But one I would challenge 84 00:04:31,320 --> 00:04:34,520 Speaker 2: her to actually explain these things, because I'm sure she can't. 85 00:04:35,080 --> 00:04:38,560 Speaker 2: And two they're not actually going to go anywhere because 86 00:04:38,720 --> 00:04:42,240 Speaker 2: they're to me, they're not real, they're not real policies. 87 00:04:42,320 --> 00:04:45,200 Speaker 1: Well, to me, it seems like she doesn't actually know 88 00:04:45,400 --> 00:04:49,800 Speaker 1: what is going on in low income minority communities and 89 00:04:49,839 --> 00:04:53,920 Speaker 1: what they what folks in places like Michigan actually are 90 00:04:53,960 --> 00:04:57,040 Speaker 1: looking for, like in Flint, in Detroit, where they're saying, 91 00:04:57,320 --> 00:05:01,000 Speaker 1: are we losing the auto industry? You know, while Whitmer's 92 00:05:01,040 --> 00:05:04,400 Speaker 1: out there feeding people dorito's, are we going to lose 93 00:05:04,440 --> 00:05:08,080 Speaker 1: the auto industry? And that I mean that also goes 94 00:05:08,080 --> 00:05:10,159 Speaker 1: to auto workers. We're like, oh, we've got all the 95 00:05:10,160 --> 00:05:13,720 Speaker 1: auto workers. Well, the auto workers are very concerned about 96 00:05:13,839 --> 00:05:17,840 Speaker 1: whether or not this ev industry has given the automakers 97 00:05:17,880 --> 00:05:20,960 Speaker 1: a pathway to leave the state. And I'm specifically talking 98 00:05:21,000 --> 00:05:24,279 Speaker 1: about Michigan. You Sarah brought up to me earlier today 99 00:05:24,320 --> 00:05:28,839 Speaker 1: that Brian Kemp, one of our reporters here in Michigan, 100 00:05:28,920 --> 00:05:32,839 Speaker 1: is like, ask Brian Kemp, he loves the auto industry. Okay, 101 00:05:32,920 --> 00:05:38,359 Speaker 1: well it's leaving its legacy state, and our legacy industry 102 00:05:38,400 --> 00:05:41,440 Speaker 1: is leaving Michigan because we gave them the pathway to 103 00:05:41,440 --> 00:05:43,800 Speaker 1: do that. We said the government will pay for you 104 00:05:43,880 --> 00:05:48,159 Speaker 1: to change your product line and build new factories. They 105 00:05:48,200 --> 00:05:51,760 Speaker 1: built their factories in Georgia, in Indiana, they built their 106 00:05:51,760 --> 00:05:55,200 Speaker 1: factories in Kentucky and in Tennessee, and they have not 107 00:05:55,279 --> 00:05:57,320 Speaker 1: built their factories in Michigan. And when I was running 108 00:05:57,320 --> 00:06:00,279 Speaker 1: for office, we sat down with one of those people 109 00:06:00,279 --> 00:06:04,200 Speaker 1: who build the factories for automakers and he said, look, 110 00:06:04,640 --> 00:06:07,359 Speaker 1: nineteen factories in the future in the next five years. 111 00:06:07,920 --> 00:06:10,359 Speaker 1: Not a one of them is coming to Michigan, not 112 00:06:10,400 --> 00:06:13,960 Speaker 1: a single one. They cannot deal with the politics in Michigan. 113 00:06:14,360 --> 00:06:18,440 Speaker 1: But the politics in Michigan is what opened the door 114 00:06:18,480 --> 00:06:22,200 Speaker 1: for government funding to go into automakers to build factories 115 00:06:22,440 --> 00:06:24,200 Speaker 1: in other states and leave us. 116 00:06:24,440 --> 00:06:26,960 Speaker 3: Of course, I mean, if I'm Georgia, if I'm Tennessee, 117 00:06:27,000 --> 00:06:29,440 Speaker 3: if I'm Indiana, Kentucky, of course I'm gonna say I 118 00:06:29,440 --> 00:06:32,000 Speaker 3: love the auto industry because that's a new business, that's 119 00:06:32,040 --> 00:06:35,839 Speaker 3: a diversification of business for those states. Michigan doesn't have that. 120 00:06:35,880 --> 00:06:38,080 Speaker 3: I was talking to someone the other day from Indiana 121 00:06:38,120 --> 00:06:40,679 Speaker 3: who works in state government, and we were talking about 122 00:06:40,720 --> 00:06:43,720 Speaker 3: the Stalantis potentially moving their headquarters out of Michigan and 123 00:06:43,760 --> 00:06:46,840 Speaker 3: Whitmer's whole weird videos that she's been doing, and they 124 00:06:46,839 --> 00:06:49,359 Speaker 3: were like, we absolutely want to make a play for 125 00:06:49,360 --> 00:06:52,320 Speaker 3: Stalantis and Indiana. We already have some of their facilities here. 126 00:06:52,880 --> 00:06:54,839 Speaker 3: They might as well move the rest of the headquarters here. 127 00:06:54,839 --> 00:06:57,800 Speaker 1: They're not going to be in Michigan anymore because they 128 00:06:57,839 --> 00:07:00,719 Speaker 1: have been chased out of the state. So, Kyle, you 129 00:07:00,800 --> 00:07:03,520 Speaker 1: brought something to us that I find interesting. And I 130 00:07:03,560 --> 00:07:09,400 Speaker 1: think that this connects because, interestingly enough, Kamala Harris's Father's 131 00:07:09,480 --> 00:07:12,840 Speaker 1: name is Donald J. Harris. All Right, heard of a 132 00:07:12,920 --> 00:07:16,720 Speaker 1: Donald Jay before, so different Donald Jay. So Donald J. 133 00:07:16,960 --> 00:07:22,440 Speaker 1: Harris is actually opposed to immigration, and there's a couple 134 00:07:22,400 --> 00:07:26,000 Speaker 1: of reasons. He feels like this takes away jobs from 135 00:07:26,280 --> 00:07:28,960 Speaker 1: black people, which you know, this has also been a 136 00:07:29,040 --> 00:07:32,040 Speaker 1: huge media kerfuffle and they've blown up the idea of 137 00:07:32,120 --> 00:07:35,760 Speaker 1: you can't talk about something as being a black job. Well, 138 00:07:36,120 --> 00:07:38,440 Speaker 1: this is what he's stating. This is not me, this 139 00:07:38,520 --> 00:07:42,840 Speaker 1: is her. What Kamala Harris's father is stating is that, 140 00:07:43,240 --> 00:07:46,080 Speaker 1: and this is back in the eighties, that immigration would 141 00:07:46,120 --> 00:07:50,360 Speaker 1: take away from black families getting an income. And that 142 00:07:50,720 --> 00:07:53,560 Speaker 1: I think also you can take from this is that 143 00:07:53,720 --> 00:07:57,160 Speaker 1: his concern is that the greed of corporations will be 144 00:07:57,320 --> 00:08:00,360 Speaker 1: that they will hire people who will accept a lower 145 00:08:00,400 --> 00:08:02,920 Speaker 1: wage because they are not citizens of the United States. 146 00:08:02,960 --> 00:08:05,200 Speaker 1: They will pay them under the table. They will create 147 00:08:05,280 --> 00:08:11,000 Speaker 1: this vacuum where these families cannot find a job, they 148 00:08:11,040 --> 00:08:13,920 Speaker 1: cannot support themselves, and the companies get richer because of 149 00:08:13,920 --> 00:08:18,240 Speaker 1: corporate greed. Funny today, because the corporate greed the people 150 00:08:18,240 --> 00:08:22,520 Speaker 1: who are the big elites. They support his daughter and 151 00:08:22,560 --> 00:08:24,000 Speaker 1: she supports an open border. 152 00:08:24,360 --> 00:08:28,760 Speaker 2: Right. So the Midwesterner at a story yesterday based on 153 00:08:29,280 --> 00:08:34,600 Speaker 2: a story from a site called restoration News restoration dashnews 154 00:08:34,640 --> 00:08:40,920 Speaker 2: dot com, and they found this paper or pamphlet that 155 00:08:40,960 --> 00:08:44,400 Speaker 2: he co author, Donald Harris co author in nineteen eighty eight, 156 00:08:45,320 --> 00:08:49,320 Speaker 2: titled Black Economic Progress An Agenda for the nineteen Nineties, 157 00:08:49,920 --> 00:08:56,040 Speaker 2: which critiqued many of the Reagan administration's policies, including Reagan's 158 00:08:56,040 --> 00:09:01,839 Speaker 2: immigration policy. And Donald harre worried that quote the current 159 00:09:01,880 --> 00:09:06,840 Speaker 2: immigration policy, which allows relatively large numbers of low skilled 160 00:09:06,880 --> 00:09:11,320 Speaker 2: workers to enter the United States, places a quote burden 161 00:09:11,480 --> 00:09:17,080 Speaker 2: on low, low skilled native born workers. And the paper 162 00:09:17,400 --> 00:09:21,880 Speaker 2: singled out black families and it said how that shift 163 00:09:22,040 --> 00:09:26,160 Speaker 2: by bringing in the the low the low wage workers, 164 00:09:26,160 --> 00:09:30,200 Speaker 2: creates this shift that has been particularly a particularly serious 165 00:09:30,240 --> 00:09:35,520 Speaker 2: problem for Blacks who constitute a high proportion of low 166 00:09:35,559 --> 00:09:42,080 Speaker 2: skilled adult workers. And and what was interesting was this 167 00:09:42,480 --> 00:09:45,720 Speaker 2: pamphlet was put out. This this position was you know, 168 00:09:45,800 --> 00:09:51,280 Speaker 2: made by by Donald Harris prior to NAFTA being signed 169 00:09:51,960 --> 00:09:55,560 Speaker 2: and put into law. And NAFTA was approved by the 170 00:09:55,559 --> 00:09:59,959 Speaker 2: Clinton by Bill Clinton four years later, costing black workers 171 00:10:00,120 --> 00:10:03,839 Speaker 2: four hundred and ninety four thousand jobs in America. And 172 00:10:03,880 --> 00:10:09,720 Speaker 2: then when Donald Trump got rid of NAFTA and created 173 00:10:09,760 --> 00:10:13,440 Speaker 2: the USMCA, who was one of the people to vote 174 00:10:13,440 --> 00:10:15,559 Speaker 2: against that was Kamala Harris. 175 00:10:15,280 --> 00:10:17,760 Speaker 1: In no surprise. And I think the key here is 176 00:10:17,800 --> 00:10:23,719 Speaker 1: that when you bring in low wage immigrants who come 177 00:10:23,720 --> 00:10:28,160 Speaker 1: in and take a low wage, you're actually lowering the 178 00:10:28,280 --> 00:10:31,320 Speaker 1: average wage the people are getting. And that is that's 179 00:10:31,320 --> 00:10:34,120 Speaker 1: been the problem that we've seen under the Biden Harris administration. 180 00:10:34,200 --> 00:10:38,040 Speaker 1: Under Trump, the wages went up because and think about 181 00:10:38,080 --> 00:10:40,800 Speaker 1: the correlation. As you decrease the people who will come 182 00:10:40,840 --> 00:10:42,640 Speaker 1: in and get paid under the table and take a 183 00:10:42,679 --> 00:10:46,319 Speaker 1: low wage, companies realize that the employee has a voice 184 00:10:46,679 --> 00:10:50,040 Speaker 1: and they raise the wages. That was what we were 185 00:10:50,080 --> 00:10:53,720 Speaker 1: seeing under Donald Trump. Under a Harris administration, it would 186 00:10:53,720 --> 00:10:56,800 Speaker 1: be even worse because you would see reduced wages. And 187 00:10:56,840 --> 00:10:58,840 Speaker 1: this is what it's so funny, because I was talking 188 00:10:58,880 --> 00:11:00,280 Speaker 1: to somebody the other day and he said, you know, 189 00:11:00,360 --> 00:11:03,560 Speaker 1: I'm a business owner, my business. The money in my 190 00:11:03,720 --> 00:11:07,400 Speaker 1: pocket has gone up under Biden Harris, He's like, the 191 00:11:07,480 --> 00:11:10,679 Speaker 1: wages are stagnant, they don't move. He said, when it 192 00:11:10,880 --> 00:11:14,520 Speaker 1: was under Trump, he said, everybody was in a much 193 00:11:14,520 --> 00:11:19,360 Speaker 1: better position and wages were different. You know why is that, Well, 194 00:11:19,600 --> 00:11:23,440 Speaker 1: people will accept lower wages because everybody wants to find something, 195 00:11:23,480 --> 00:11:25,679 Speaker 1: to find a job. There's so many people. We keep 196 00:11:25,679 --> 00:11:29,440 Speaker 1: hearing about this housing crisis. There is actually a massive 197 00:11:29,440 --> 00:11:33,280 Speaker 1: amount of housing out there. But what we're talking about 198 00:11:33,800 --> 00:11:36,560 Speaker 1: is we don't have the jobs for people. So they're 199 00:11:36,559 --> 00:11:41,560 Speaker 1: trying to supplement and give free housing. Where's the manufacturing, 200 00:11:41,679 --> 00:11:44,720 Speaker 1: where are the skilled jobs? Where are the jobs for 201 00:11:44,800 --> 00:11:48,320 Speaker 1: people who are in Flint in Detroit? And don't tell 202 00:11:48,360 --> 00:11:50,760 Speaker 1: me for a second that they're going to argue, well, 203 00:11:51,040 --> 00:11:56,280 Speaker 1: this isn't you know you're going to define jobs by race. No, 204 00:11:56,360 --> 00:11:59,320 Speaker 1: but there is a reality that in Flint, one of 205 00:11:59,320 --> 00:12:02,440 Speaker 1: the major industries has been automaking in in Flint, the 206 00:12:02,440 --> 00:12:06,160 Speaker 1: auto industry. In Detroit, one of the major industries has 207 00:12:06,200 --> 00:12:09,280 Speaker 1: been the auto industry. Let's take a quick commercial break. 208 00:12:09,320 --> 00:12:15,280 Speaker 1: We'll continue next on the Tutor Dixon Podcast. Do you 209 00:12:15,320 --> 00:12:17,040 Speaker 1: remember a few years ago? I think it might have 210 00:12:17,120 --> 00:12:19,520 Speaker 1: been during the riots, but why can't you will probably 211 00:12:19,520 --> 00:12:22,200 Speaker 1: remember this. There was a woman who was interviewed in Flint, 212 00:12:22,240 --> 00:12:24,920 Speaker 1: and I feel like they freaked out that she said this, 213 00:12:25,040 --> 00:12:27,840 Speaker 1: And she said, our sons are getting murdered every day. 214 00:12:28,120 --> 00:12:31,400 Speaker 1: Just find jobs, bring jobs to our community. They were 215 00:12:31,440 --> 00:12:34,480 Speaker 1: expecting her to say something else, and she said, I 216 00:12:34,520 --> 00:12:36,680 Speaker 1: want my son to have a job to go to 217 00:12:36,800 --> 00:12:41,079 Speaker 1: every day because everybody. There's total chaos when you cannot 218 00:12:41,360 --> 00:12:44,480 Speaker 1: earn for yourself when the government does not focus on 219 00:12:44,520 --> 00:12:48,160 Speaker 1: bringing companies in. And right now in Michigan you've got 220 00:12:48,200 --> 00:12:50,160 Speaker 1: that disaster. And if you live in a blue state 221 00:12:50,200 --> 00:12:51,880 Speaker 1: you may have the same thing. But I don't think 222 00:12:51,920 --> 00:12:54,520 Speaker 1: anything is as bad as Michigan. We've had no companies 223 00:12:54,559 --> 00:12:57,520 Speaker 1: come in, and now we're hearing our auto industry is leaving, 224 00:12:58,320 --> 00:13:00,400 Speaker 1: and where does that leave all of us? 225 00:13:00,640 --> 00:13:04,800 Speaker 2: And that's that's where that's why when people like Kamala 226 00:13:04,880 --> 00:13:07,400 Speaker 2: Harris put out this, you know, agenda for black men 227 00:13:07,600 --> 00:13:10,200 Speaker 2: or whatever she calls it, I just sort of my 228 00:13:11,000 --> 00:13:15,520 Speaker 2: response is just sort of derision because it's just it's 229 00:13:15,600 --> 00:13:18,559 Speaker 2: just phony, because it doesn't matter what the color of 230 00:13:18,600 --> 00:13:22,680 Speaker 2: your skin is. You have basic expectations in life. One 231 00:13:22,840 --> 00:13:25,360 Speaker 2: is that your child is going to go to school 232 00:13:25,679 --> 00:13:29,960 Speaker 2: safely and learn something. And then another one is that 233 00:13:30,080 --> 00:13:32,760 Speaker 2: when they go to school, they're actually going to be 234 00:13:32,840 --> 00:13:37,000 Speaker 2: taught something, whether it's reading, or it's math, or its 235 00:13:37,200 --> 00:13:40,520 Speaker 2: skills to be able to hold a job, whatever it is. 236 00:13:41,000 --> 00:13:45,679 Speaker 2: These are very basic expectations that normal people have. And 237 00:13:45,760 --> 00:13:52,239 Speaker 2: so when when cities are dangerous, when our towns are dangerous, 238 00:13:52,280 --> 00:13:54,920 Speaker 2: when kids are going to school and the school is 239 00:13:55,000 --> 00:13:58,600 Speaker 2: dangerous or they are you know, there's huge numbers of 240 00:13:58,679 --> 00:14:01,440 Speaker 2: kids who don't know how to read. I mean don't 241 00:14:01,440 --> 00:14:04,559 Speaker 2: know how to read. It's not they're not doing you know, 242 00:14:04,720 --> 00:14:07,880 Speaker 2: we're not expecting quantum physics here. They don't know how 243 00:14:07,880 --> 00:14:11,199 Speaker 2: to read. That is I think that is. That's what 244 00:14:11,240 --> 00:14:14,200 Speaker 2: people are looking for, and people like Kamala Harris they're 245 00:14:14,240 --> 00:14:16,800 Speaker 2: not addressing that. They're just ignoring that, and they're saying, 246 00:14:17,679 --> 00:14:20,200 Speaker 2: here's this agenda that we'll put out to try and 247 00:14:20,240 --> 00:14:20,960 Speaker 2: win some votes. 248 00:14:21,360 --> 00:14:23,440 Speaker 3: The thing that's interesting you talked about the wages under 249 00:14:23,480 --> 00:14:27,880 Speaker 3: Donald Trump versus under Biden, Harris and Donald Trump understood 250 00:14:27,960 --> 00:14:31,440 Speaker 3: the delicate balance of when government should be involved, when 251 00:14:31,440 --> 00:14:34,880 Speaker 3: it shouldn't, what the policy should be so that wages 252 00:14:34,920 --> 00:14:37,120 Speaker 3: could rise across the board, Whereas if you look at 253 00:14:37,120 --> 00:14:39,600 Speaker 3: Biden Harris or a lot of blue states, they feel 254 00:14:39,640 --> 00:14:42,320 Speaker 3: the need to institute things like a mandatory minimum wage 255 00:14:42,440 --> 00:14:45,600 Speaker 3: because they are not able to push businesses there. But 256 00:14:46,080 --> 00:14:49,120 Speaker 3: the interesting thing about the Donald J. Harris piece is 257 00:14:49,160 --> 00:14:52,120 Speaker 3: he understood that balance with immigration too, because he even 258 00:14:52,440 --> 00:14:55,600 Speaker 3: at one point in the piece says immigration workers of 259 00:14:55,640 --> 00:14:59,080 Speaker 3: the United States in the past, it's been a positive 260 00:14:59,160 --> 00:15:03,840 Speaker 3: influence on the country's economic productivity. This can continue to 261 00:15:03,880 --> 00:15:06,840 Speaker 3: be the case in the future. So no one's arguing 262 00:15:06,840 --> 00:15:10,040 Speaker 3: that we shouldn't have any immigration. There are jobs that 263 00:15:10,120 --> 00:15:12,240 Speaker 3: need to be filled by that group of people. But 264 00:15:12,360 --> 00:15:16,000 Speaker 3: to just completely open it up you totally offset the 265 00:15:16,000 --> 00:15:18,200 Speaker 3: balance of what you need in the economy. 266 00:15:19,200 --> 00:15:23,720 Speaker 1: I mean, it's it's interesting because history will show you 267 00:15:23,880 --> 00:15:28,120 Speaker 1: that what Kamala Harris's policies are, they don't work. But 268 00:15:28,200 --> 00:15:32,920 Speaker 1: she also when she was on the Charlemagne program, he 269 00:15:33,160 --> 00:15:35,600 Speaker 1: was saying to her, you know people have criticized you 270 00:15:35,640 --> 00:15:38,360 Speaker 1: that you just say the same thing, and she was saying, 271 00:15:38,360 --> 00:15:40,600 Speaker 1: oh yeah, but people need to hear it three times 272 00:15:40,600 --> 00:15:42,000 Speaker 1: and you've got to say it over and over again. 273 00:15:42,440 --> 00:15:45,320 Speaker 1: But they're not criticizing her for saying the same thing. 274 00:15:45,320 --> 00:15:50,000 Speaker 1: They're criticizing her for things like this. She's not involved 275 00:15:50,000 --> 00:15:51,960 Speaker 1: in what she's saying. Someone has written this for her. 276 00:15:52,040 --> 00:15:55,320 Speaker 1: There's no connection, there's no sole connection to this. She 277 00:15:55,520 --> 00:15:58,360 Speaker 1: is actually an elitist. And the reality is if you 278 00:15:58,440 --> 00:16:02,920 Speaker 1: read the comments of from the black community who are 279 00:16:03,040 --> 00:16:06,200 Speaker 1: listening to her talk to Charlotamagne, they're saying, she doesn't 280 00:16:06,240 --> 00:16:09,360 Speaker 1: know us, she doesn't understand us. She's gonna tell me 281 00:16:09,360 --> 00:16:10,920 Speaker 1: she's from the middle class. She has no idea who 282 00:16:10,920 --> 00:16:11,200 Speaker 1: we are. 283 00:16:11,320 --> 00:16:14,160 Speaker 3: She's being criticized for saying nothing. That's the problem is 284 00:16:14,200 --> 00:16:16,200 Speaker 3: she says, I stick to my talking points, but her 285 00:16:16,240 --> 00:16:18,320 Speaker 3: talking points are literally nothing. 286 00:16:18,120 --> 00:16:20,440 Speaker 1: And that's she genuinely said talking points. 287 00:16:20,600 --> 00:16:21,560 Speaker 3: Yeah. 288 00:16:21,640 --> 00:16:25,040 Speaker 1: I mean, this is how trained of a politician she is. 289 00:16:25,400 --> 00:16:28,960 Speaker 1: She is trained. And that's what you are as a prosecutor. 290 00:16:28,960 --> 00:16:31,280 Speaker 1: You're trained. You're trained to go out there and prosecute 291 00:16:31,320 --> 00:16:35,800 Speaker 1: the case. It's not that you and you prosecute the case, 292 00:16:35,920 --> 00:16:38,360 Speaker 1: whether you believe in it or not. That's the thing. 293 00:16:38,840 --> 00:16:41,600 Speaker 1: And I think that's what we're seeing with Kamala Harris, 294 00:16:41,640 --> 00:16:44,360 Speaker 1: because that's her. As a prosecutor, that's your job. You 295 00:16:44,480 --> 00:16:47,560 Speaker 1: take the side of the state, whether you believe that 296 00:16:47,560 --> 00:16:50,920 Speaker 1: that side or not, you have to win the case. 297 00:16:52,080 --> 00:16:54,720 Speaker 1: She I see that in her. I don't think she 298 00:16:54,760 --> 00:16:57,680 Speaker 1: believes in what she's saying half the time. I'm not 299 00:16:57,760 --> 00:17:01,000 Speaker 1: even sure she understands what she's saying. The time. She 300 00:17:01,040 --> 00:17:04,640 Speaker 1: doesn't understand the economy. She doesn't under she never goes 301 00:17:04,680 --> 00:17:08,439 Speaker 1: into depth about it. She doesn't actually criticize Donald Trump's policies. 302 00:17:08,760 --> 00:17:14,000 Speaker 1: Notice that she criticizes his personality. She criticizes she. I mean, 303 00:17:14,200 --> 00:17:17,120 Speaker 1: she came out and she said that he is going 304 00:17:17,200 --> 00:17:19,919 Speaker 1: to go into the DOJ and weaponize it against his 305 00:17:20,000 --> 00:17:20,920 Speaker 1: political enemies. 306 00:17:22,320 --> 00:17:25,520 Speaker 2: This with a straight face. She said that rare times. 307 00:17:25,720 --> 00:17:31,040 Speaker 1: She didn't laugh right right, which obviously we know they did. 308 00:17:31,480 --> 00:17:35,440 Speaker 1: But the irony of that, and Charlemagne says, so you're 309 00:17:35,440 --> 00:17:38,160 Speaker 1: going to go to jail, give me a break. I mean, 310 00:17:39,680 --> 00:17:43,439 Speaker 1: he is a known quantity. We've already been through a 311 00:17:43,600 --> 00:17:46,520 Speaker 1: Donald Trump presidency and the man has said I could 312 00:17:46,520 --> 00:17:48,840 Speaker 1: have done it with Hillary. I thought it was wrong 313 00:17:48,880 --> 00:17:51,000 Speaker 1: for the country and he still thinks it's wrong for 314 00:17:51,080 --> 00:17:54,720 Speaker 1: the country. It's not we don't do this. His own 315 00:17:54,760 --> 00:17:57,840 Speaker 1: Supreme Court said you don't do it. I mean they're 316 00:17:57,880 --> 00:17:59,960 Speaker 1: going to if they want to pick on the Supreme Court, 317 00:18:00,400 --> 00:18:02,560 Speaker 1: then you go all in. You have to take everything 318 00:18:02,600 --> 00:18:04,800 Speaker 1: they say because they said you can't do it either. 319 00:18:05,160 --> 00:18:10,040 Speaker 1: I mean, this is the manipulation in the propaganda. But 320 00:18:10,080 --> 00:18:12,720 Speaker 1: she doesn't even understand it. I really don't believe that 321 00:18:12,760 --> 00:18:15,080 Speaker 1: she understands what she's even talking about. 322 00:18:15,119 --> 00:18:18,240 Speaker 3: Well, you talk about the manipulation and propaganda, because everything 323 00:18:18,560 --> 00:18:21,320 Speaker 3: if they don't agree with anything Donald Trump says, then 324 00:18:21,359 --> 00:18:24,240 Speaker 3: they just automatically say it's disinformation. I think when she 325 00:18:24,320 --> 00:18:26,359 Speaker 3: was talking to Charlemagne the other day, that's they had 326 00:18:26,359 --> 00:18:29,960 Speaker 3: a whole conversation about disinformation and the other side is 327 00:18:30,000 --> 00:18:33,240 Speaker 3: throwing out all these falsities that are making hurricane relief 328 00:18:33,280 --> 00:18:36,080 Speaker 3: more confusing. And you know, you can rattle it all 329 00:18:36,119 --> 00:18:38,720 Speaker 3: off within the election, but at the end of the day, 330 00:18:38,880 --> 00:18:41,720 Speaker 3: if they want to silence somebody that's a critic of 331 00:18:41,760 --> 00:18:45,120 Speaker 3: the Democrat Party or Kamala, they can just say it's disinformation, 332 00:18:45,400 --> 00:18:48,160 Speaker 3: and then suddenly that person is cast aside and he's 333 00:18:48,240 --> 00:18:51,240 Speaker 3: no longer can welcome on mainstream outlets. 334 00:18:52,480 --> 00:18:56,200 Speaker 1: I think they say disinformation because they can't say they're lying. 335 00:18:56,400 --> 00:19:00,640 Speaker 1: I think it's like their new way of trying to say, 336 00:19:00,960 --> 00:19:04,000 Speaker 1: like it's it's like opportunity, the way she uses opportunities, 337 00:19:04,080 --> 00:19:07,320 Speaker 1: like people won't really fully understand and it's not technically 338 00:19:07,400 --> 00:19:09,720 Speaker 1: it's not the truth, and so I can use this 339 00:19:09,800 --> 00:19:12,600 Speaker 1: word that kind of covers it, like maybe it's just 340 00:19:12,920 --> 00:19:16,159 Speaker 1: it's not exactly true, but the reality of it is 341 00:19:16,280 --> 00:19:18,600 Speaker 1: they are lying and we need to call them out 342 00:19:18,600 --> 00:19:19,400 Speaker 1: for being liars. 343 00:19:19,520 --> 00:19:21,359 Speaker 3: And what is the difference between. I love when they 344 00:19:21,400 --> 00:19:24,080 Speaker 3: make up things disinformation and misinformation. 345 00:19:24,200 --> 00:19:26,560 Speaker 1: They're different and deep fake and cheap fake. 346 00:19:26,720 --> 00:19:30,120 Speaker 3: And I mean it's like they just change these little things. 347 00:19:30,160 --> 00:19:32,640 Speaker 1: They're different. There's no definition for them anywhere, but they 348 00:19:32,640 --> 00:19:33,080 Speaker 1: are different. 349 00:19:33,160 --> 00:19:36,040 Speaker 2: Because well, and I think what all of this shows 350 00:19:36,160 --> 00:19:40,760 Speaker 2: is that they're getting increasingly desperate. And because now this week, 351 00:19:40,880 --> 00:19:43,080 Speaker 2: you know, Kamala and she did it again in Detroit. 352 00:19:44,240 --> 00:19:49,480 Speaker 2: You know, she's sort of attacking Donald Trump's perceived motivations 353 00:19:49,520 --> 00:19:51,800 Speaker 2: for why he's running and what he wants to do, 354 00:19:51,920 --> 00:19:54,560 Speaker 2: and again not about policy, but about just sort of 355 00:19:54,600 --> 00:20:01,600 Speaker 2: retribution without any sort of evidence or proof or anything. 356 00:20:02,600 --> 00:20:04,679 Speaker 2: She's just like, you know, she's just going out and 357 00:20:04,720 --> 00:20:08,320 Speaker 2: just saying wild things because they're desperate and I don't 358 00:20:08,400 --> 00:20:12,119 Speaker 2: know what They're also sort of stuck in this catch 359 00:20:12,160 --> 00:20:15,320 Speaker 2: twenty two where she wants to they think they've got 360 00:20:15,359 --> 00:20:17,720 Speaker 2: to go out and do interviews. But then when she 361 00:20:17,800 --> 00:20:22,639 Speaker 2: does the interviews, she's reminding everyone why they don't want 362 00:20:22,680 --> 00:20:25,639 Speaker 2: to vote for her. And so it's this weird dynamic 363 00:20:25,680 --> 00:20:28,600 Speaker 2: where it's not actually going to help, but yet it's 364 00:20:28,640 --> 00:20:32,119 Speaker 2: what she has to do, and it's I. 365 00:20:32,520 --> 00:20:35,840 Speaker 1: Think that it's become a little bizarre with the amount 366 00:20:36,040 --> 00:20:39,280 Speaker 1: of going to just anybody and sitting down and having 367 00:20:39,280 --> 00:20:43,359 Speaker 1: a conversation, because people who talk for a living have 368 00:20:43,440 --> 00:20:46,960 Speaker 1: a big following. But generally, I mean, the point was 369 00:20:47,000 --> 00:20:49,119 Speaker 1: made that going on Howard Stern, I mean those were 370 00:20:49,160 --> 00:20:52,240 Speaker 1: people were voting for her anyway, and going on that 371 00:20:52,280 --> 00:20:55,320 Speaker 1: other weird podcast, those people were voting for her anyway. 372 00:20:56,119 --> 00:20:59,880 Speaker 1: But it is I believe that some of this is cheap, 373 00:21:00,119 --> 00:21:05,119 Speaker 1: name the statesmanship of politics, like where are the statesmen? 374 00:21:05,160 --> 00:21:08,520 Speaker 1: If you are gonna just you know, there's certain things 375 00:21:08,560 --> 00:21:15,320 Speaker 1: that I think should be private, you that your politician 376 00:21:15,920 --> 00:21:20,560 Speaker 1: should be professional, and like cracking open a beer. I 377 00:21:20,720 --> 00:21:23,480 Speaker 1: just I just think that there's a level that crack 378 00:21:23,560 --> 00:21:24,800 Speaker 1: open a beer with your friends. 379 00:21:24,880 --> 00:21:28,040 Speaker 2: Maybe maybe she should go have a communion to rito. 380 00:21:29,240 --> 00:21:31,200 Speaker 1: Gosh, that's so disturbing. 381 00:21:32,480 --> 00:21:34,400 Speaker 3: Was it Bill Clinton? I was trying to think who 382 00:21:34,440 --> 00:21:36,320 Speaker 3: was the first politician that was on a late night 383 00:21:36,400 --> 00:21:38,400 Speaker 3: show and I want to say it was Bill Clinton 384 00:21:38,440 --> 00:21:40,600 Speaker 3: when he played the saxophone and that was like the 385 00:21:40,680 --> 00:21:43,000 Speaker 3: new cool thing, Like He's the one that kind of 386 00:21:43,000 --> 00:21:44,720 Speaker 3: started the cool presidency. 387 00:21:44,960 --> 00:21:47,320 Speaker 1: I'd rather see you play the saxophone that you have 388 00:21:47,480 --> 00:21:51,320 Speaker 1: some I mean, because music is mathematical and you could say, like, okay, 389 00:21:51,560 --> 00:21:55,920 Speaker 1: that had there is some intelligence to that. There is intelligence, Yes, 390 00:21:56,520 --> 00:22:01,120 Speaker 1: there is no intelligence to a weird sexualized video where 391 00:22:01,200 --> 00:22:03,320 Speaker 1: you have a woman on her knees and you give 392 00:22:03,400 --> 00:22:09,160 Speaker 1: her a communion doaredo and mock the Catholic faith. How 393 00:22:09,160 --> 00:22:09,960 Speaker 1: did we get here? 394 00:22:10,600 --> 00:22:14,199 Speaker 2: Well? I think you brought up a good point. You know, 395 00:22:14,280 --> 00:22:17,879 Speaker 2: Ronald Reagan was friends with Johnny Carson and he probably 396 00:22:17,920 --> 00:22:20,080 Speaker 2: went on the Tonight Show at some point, but there 397 00:22:20,200 --> 00:22:24,040 Speaker 2: was a respect and he was treated like the president 398 00:22:24,160 --> 00:22:26,719 Speaker 2: and and there. But I think it would probably was 399 00:22:26,960 --> 00:22:31,080 Speaker 2: Bill Clinton who sort of broke that barrier because then 400 00:22:31,119 --> 00:22:33,440 Speaker 2: he was talking about Remember he was asked if he 401 00:22:33,600 --> 00:22:36,920 Speaker 2: wore boxers or briefs, and and then he was talking 402 00:22:36,920 --> 00:22:40,240 Speaker 2: about smoking pot and it just sort of went and 403 00:22:40,280 --> 00:22:42,200 Speaker 2: they were I guess they were trying to I don't 404 00:22:42,200 --> 00:22:44,639 Speaker 2: know what the motivation was, but that was when it 405 00:22:44,680 --> 00:22:47,760 Speaker 2: sort of started. And then, of course, you know, George W. 406 00:22:47,880 --> 00:22:51,600 Speaker 2: Bush was never he was never perceived as cool, but 407 00:22:51,640 --> 00:22:55,040 Speaker 2: then of course Obama was. Yeah, but then Obama was 408 00:22:55,119 --> 00:22:59,040 Speaker 2: sort of you know, they deified him, and you know 409 00:22:59,119 --> 00:23:02,360 Speaker 2: he and he probably was really sort of the first 410 00:23:02,440 --> 00:23:06,840 Speaker 2: celebrity president that could do no wrong in their eyes. 411 00:23:07,240 --> 00:23:10,159 Speaker 1: I think he has a way of though I will 412 00:23:10,400 --> 00:23:12,520 Speaker 1: compliment Obama. I think he has a way of keeping 413 00:23:12,520 --> 00:23:16,000 Speaker 1: it professional. He does not get dragged into these trends. 414 00:23:16,280 --> 00:23:20,679 Speaker 1: And I've seen Michelle do some things that are a 415 00:23:20,720 --> 00:23:25,040 Speaker 1: little bit more on the corny side. But also I've 416 00:23:25,080 --> 00:23:27,320 Speaker 1: never seen her, I would say, I've never seen her 417 00:23:27,400 --> 00:23:31,720 Speaker 1: compromise herself in an embarrassing way. And I think that 418 00:23:31,720 --> 00:23:36,000 Speaker 1: that's what we're seeing with Kamala Harris, I mean, Elizabeth Warren, 419 00:23:36,400 --> 00:23:40,720 Speaker 1: Gretchen Whitmer. This is all Sadly, it's all women that 420 00:23:40,760 --> 00:23:43,560 Speaker 1: are doing which I don't like it. Makes me very sad. 421 00:23:43,800 --> 00:23:47,120 Speaker 3: Obama was never like goofy or the butt of the joke. 422 00:23:47,320 --> 00:23:49,560 Speaker 1: He's the guy that took the picture of himself pretending 423 00:23:49,560 --> 00:23:53,720 Speaker 1: to grab someone in an inappropriated so he did it too. 424 00:23:53,840 --> 00:23:56,040 Speaker 1: I'm going to throw one guy in here. I gotta 425 00:23:56,080 --> 00:23:56,560 Speaker 1: have a guye. 426 00:23:56,560 --> 00:23:59,520 Speaker 2: I'm like, please, And I'm not defending what el Franken did, 427 00:23:59,520 --> 00:24:02,040 Speaker 2: but that was never designed, that was never intended to 428 00:24:02,080 --> 00:24:04,080 Speaker 2: be made public politician. 429 00:24:04,119 --> 00:24:06,639 Speaker 3: Also, when he was on SNL, that's true. 430 00:24:06,680 --> 00:24:11,080 Speaker 1: I know you were trying to. It's bizarre how people 431 00:24:11,119 --> 00:24:15,840 Speaker 1: are so desperate for attention. They're just becoming so embarrassing. 432 00:24:15,880 --> 00:24:17,720 Speaker 1: And I've told this story before that when I was 433 00:24:17,800 --> 00:24:21,200 Speaker 1: running for governor, I had consultants that were like, don't 434 00:24:21,200 --> 00:24:23,720 Speaker 1: put out stupid videos because you're not running for Congress. 435 00:24:23,720 --> 00:24:27,240 Speaker 1: And I was like, why is that okay? Like why 436 00:24:27,280 --> 00:24:29,800 Speaker 1: how did Congress become such a clown show? Why is 437 00:24:29,840 --> 00:24:33,560 Speaker 1: that okay? But it's now, and it's I would say 438 00:24:33,560 --> 00:24:36,840 Speaker 1: on the Democrat side, it has become the norm to 439 00:24:37,000 --> 00:24:42,399 Speaker 1: be a phony and ridiculous on social media. But the 440 00:24:42,560 --> 00:24:47,280 Speaker 1: question now remains, I mean it has been posed what 441 00:24:47,800 --> 00:24:51,880 Speaker 1: is too far? And I think Whitmer is the breaking point, gosh, 442 00:24:51,920 --> 00:24:55,040 Speaker 1: how embarrassing she's. The breaking point for this is that 443 00:24:55,440 --> 00:24:59,000 Speaker 1: has she been too influenced by the children on her 444 00:24:59,040 --> 00:25:01,360 Speaker 1: team that think it's it's funny to put the governor 445 00:25:01,400 --> 00:25:04,159 Speaker 1: in a compromising position and make her look like an 446 00:25:04,200 --> 00:25:08,919 Speaker 1: absolute moron and have her have to publicly apologize, and 447 00:25:08,920 --> 00:25:12,159 Speaker 1: then she doesn't even apologize. She's like, I apologize for 448 00:25:12,280 --> 00:25:14,680 Speaker 1: you being an idiot and thinking I did this. I mean, 449 00:25:15,119 --> 00:25:18,919 Speaker 1: but it may the apology makes her look even worse. 450 00:25:19,119 --> 00:25:23,159 Speaker 3: Apology was I'm sorry you don't understand the social media trend. 451 00:25:23,920 --> 00:25:26,000 Speaker 3: And that's not an apology I mean. 452 00:25:26,520 --> 00:25:28,320 Speaker 2: And that's why I don't think she regrets it. I 453 00:25:28,359 --> 00:25:31,840 Speaker 2: think she probably, based on studying her for however many 454 00:25:31,880 --> 00:25:37,520 Speaker 2: years it's been, she's probably angry that it was construed 455 00:25:37,520 --> 00:25:41,680 Speaker 2: in a way that she didn't intend. But I think 456 00:25:41,680 --> 00:25:44,760 Speaker 2: it's because she has a blind spot for this sort 457 00:25:44,800 --> 00:25:47,520 Speaker 2: of thing, and she never she never saw how that 458 00:25:47,560 --> 00:25:52,879 Speaker 2: could be insulting to people, and so she put something 459 00:25:52,880 --> 00:25:54,840 Speaker 2: out like that, participated in something like that. 460 00:25:55,119 --> 00:25:58,680 Speaker 1: It started with some other weird things with the Professor Potato, 461 00:25:58,760 --> 00:26:02,000 Speaker 1: and she I think she's considered like the social media governor. 462 00:26:02,040 --> 00:26:05,000 Speaker 1: She was like the experiment, the experiment gone wrong. I 463 00:26:05,000 --> 00:26:08,400 Speaker 1: think she's someone who is in constant need of affirmation 464 00:26:08,560 --> 00:26:13,600 Speaker 1: based on her past behaviors. And I think this is 465 00:26:13,640 --> 00:26:16,919 Speaker 1: when you have someone who has a weakness and somebody 466 00:26:16,920 --> 00:26:18,720 Speaker 1: because it goes, oh, we can fulfill that for you, 467 00:26:18,800 --> 00:26:22,200 Speaker 1: we can make you feel, we can make you into 468 00:26:22,240 --> 00:26:26,000 Speaker 1: something bigger than a governor. It's like the worst possible scenario. 469 00:26:26,080 --> 00:26:28,119 Speaker 3: I'm wondering now that she's had the backlash on it, 470 00:26:28,119 --> 00:26:30,959 Speaker 3: because I was this morning looking. New York Magazine has 471 00:26:31,000 --> 00:26:34,679 Speaker 3: a peace out kind of berating Whitmer for the social 472 00:26:34,680 --> 00:26:37,960 Speaker 3: media and it goes through the scenario and the half 473 00:26:38,000 --> 00:26:41,960 Speaker 3: hearted apology. But even New York Magazine says, here's the thing. 474 00:26:42,160 --> 00:26:45,080 Speaker 3: Unhit people get the same vote as hit people and 475 00:26:45,200 --> 00:26:48,120 Speaker 3: can't really be expected to understand the process by which 476 00:26:48,160 --> 00:26:51,520 Speaker 3: some moment on social media becomes an all purpose explanation 477 00:26:51,640 --> 00:26:54,880 Speaker 3: for whatever you want to do. So it says, this 478 00:26:54,960 --> 00:26:58,840 Speaker 3: small bruhaha involving Whitmer offers a good reminder that when 479 00:26:58,840 --> 00:27:02,800 Speaker 3: you're in politics, really can become too online and forget 480 00:27:02,800 --> 00:27:04,720 Speaker 3: the large elements of the voting public. 481 00:27:05,119 --> 00:27:07,840 Speaker 1: Let's take a quick commercial break. We'll continue next on 482 00:27:07,880 --> 00:27:14,840 Speaker 1: the Tutor Dixon podcast. As a mom, I'm constantly trying 483 00:27:14,840 --> 00:27:17,720 Speaker 1: to figure out, like, what is the new TikTok trend 484 00:27:17,760 --> 00:27:20,399 Speaker 1: that could hurt the kids, because they there's always something 485 00:27:20,440 --> 00:27:23,600 Speaker 1: coming out and it's like new deadly TikTok trend. It's like, 486 00:27:23,640 --> 00:27:25,520 Speaker 1: don't let your kids do that because it's so eat. 487 00:27:25,600 --> 00:27:28,480 Speaker 1: You can be so easily influenced by it. And I 488 00:27:28,640 --> 00:27:31,480 Speaker 1: just look at this and I'm like, wow, new politically 489 00:27:31,600 --> 00:27:35,560 Speaker 1: deadly TikTok trend is to be. Gretchen Whitmer and Kyle, 490 00:27:35,600 --> 00:27:39,119 Speaker 1: You've made the point that the Gavin Newsom's and the 491 00:27:39,119 --> 00:27:41,760 Speaker 1: Gretchen Whitmers and the JD. Pritzkers of the world really 492 00:27:41,760 --> 00:27:45,800 Speaker 1: don't want Kamala Harris to win because if Kamala Harris wins, 493 00:27:46,560 --> 00:27:50,399 Speaker 1: there's eight years that they can't run. And that's a 494 00:27:50,520 --> 00:27:53,359 Speaker 1: worst case scenario for Gretchen Whimer. Her career. If Kamala 495 00:27:53,359 --> 00:27:57,280 Speaker 1: Harris wins, her career is over. I believe that Gavin 496 00:27:57,320 --> 00:28:00,920 Speaker 1: Newsom could go into the administration and he will stay relevant. 497 00:28:00,960 --> 00:28:02,680 Speaker 1: She doesn't know how to do that, and I think 498 00:28:02,720 --> 00:28:06,280 Speaker 1: she realizes that it's done for her, and they don't. 499 00:28:06,400 --> 00:28:09,399 Speaker 1: They're not really in love with the idea of Kamala 500 00:28:09,480 --> 00:28:12,640 Speaker 1: Harris winning. I think that this was her desperate attempt 501 00:28:12,840 --> 00:28:15,199 Speaker 1: to keep herself out there. I just don't see how 502 00:28:15,240 --> 00:28:18,920 Speaker 1: you come back from this. It's so immature, so embarrassing 503 00:28:19,040 --> 00:28:20,840 Speaker 1: to think that you would go and sit down with 504 00:28:21,040 --> 00:28:24,119 Speaker 1: heads of state of other countries and try to be 505 00:28:24,160 --> 00:28:27,120 Speaker 1: taken seriously. I mean, good grief. She's in a situation 506 00:28:27,240 --> 00:28:29,400 Speaker 1: now where she is losing one of the big three, 507 00:28:29,440 --> 00:28:32,119 Speaker 1: one of the big three automakers in the state of Michigan. Potentially. 508 00:28:32,480 --> 00:28:34,960 Speaker 1: She made a tiny comment on that, like, we're going 509 00:28:35,000 --> 00:28:37,000 Speaker 1: to help them see the vision of staying here, because 510 00:28:37,160 --> 00:28:39,320 Speaker 1: you know, it's always not her fault. She's always got 511 00:28:39,320 --> 00:28:41,640 Speaker 1: to help somebody else. Get sorry, you thought I was 512 00:28:41,680 --> 00:28:44,080 Speaker 1: doing something on social media. That's weird. You're an idiot, 513 00:28:44,120 --> 00:28:46,560 Speaker 1: you know. Sorry, you think you should leave Michigan. Let 514 00:28:46,560 --> 00:28:49,760 Speaker 1: me show you the Lightstalantis, she doesn't get it. She's 515 00:28:49,800 --> 00:28:54,280 Speaker 1: not professional, she doesn't understand. And I think that she's 516 00:28:54,400 --> 00:28:56,960 Speaker 1: probably going to be held up as the example of 517 00:28:57,560 --> 00:29:02,600 Speaker 1: when social media trends took a turn and politicians got involved. 518 00:29:03,160 --> 00:29:05,719 Speaker 1: Some people took it way too far and destroyed their 519 00:29:05,760 --> 00:29:08,200 Speaker 1: careers and Gretchen Wimer will go down in history for that. 520 00:29:08,240 --> 00:29:09,600 Speaker 1: I don't think that's what she wants to go down 521 00:29:09,640 --> 00:29:11,600 Speaker 1: in history for, but I think that's what she will. 522 00:29:11,680 --> 00:29:13,440 Speaker 3: Well she should, that's what she should go down in 523 00:29:13,520 --> 00:29:15,720 Speaker 3: history for. Well she I don't know, but I think 524 00:29:16,000 --> 00:29:17,800 Speaker 3: I think there's a little bit of a chink in 525 00:29:17,840 --> 00:29:19,560 Speaker 3: the I don't want to say chink in the armor 526 00:29:19,560 --> 00:29:22,280 Speaker 3: for her, but there's some people that are not happy. 527 00:29:22,360 --> 00:29:24,000 Speaker 3: I think that she made a lot of people mad. 528 00:29:24,280 --> 00:29:26,160 Speaker 1: Yeah, I mean, and maybe she'll go on to be 529 00:29:26,480 --> 00:29:29,400 Speaker 1: a sports commentator like she's always wanted to. I mean, 530 00:29:29,640 --> 00:29:32,760 Speaker 1: potentially what she's angling for is to go to ESPN 531 00:29:32,920 --> 00:29:35,080 Speaker 1: and not be a president. I don't know. I mean, 532 00:29:35,080 --> 00:29:36,760 Speaker 1: at this point, I think that's her best option. 533 00:29:37,040 --> 00:29:39,440 Speaker 3: ESPN's gotten political enough that they probably would actually have 534 00:29:39,480 --> 00:29:42,200 Speaker 3: a politician on outide of their commentators now. 535 00:29:42,160 --> 00:29:44,240 Speaker 1: I think, and you know, she would love that. That 536 00:29:44,240 --> 00:29:47,400 Speaker 1: would that's her ideal career from everything that we've read 537 00:29:47,440 --> 00:29:50,360 Speaker 1: about her. So maybe that is her next plan. But 538 00:29:50,480 --> 00:29:53,280 Speaker 1: I have a feeling that she's kind of humiliated herself 539 00:29:53,400 --> 00:29:55,160 Speaker 1: enough on the world stage, and by the time she 540 00:29:55,240 --> 00:29:59,120 Speaker 1: leaves Michigan, my gosh, she'll be like, well, there will 541 00:29:59,240 --> 00:30:01,720 Speaker 1: be even lights on, but the way she's destroyed the 542 00:30:01,800 --> 00:30:04,720 Speaker 1: energy grid and every other business here, so I think 543 00:30:04,760 --> 00:30:09,280 Speaker 1: that's really the only hope for her. But just watching 544 00:30:09,840 --> 00:30:13,760 Speaker 1: the pandering, this election has been I think the most 545 00:30:13,920 --> 00:30:16,800 Speaker 1: interesting election cycle of our lifetimes. Everybody goes out it's 546 00:30:16,800 --> 00:30:19,200 Speaker 1: the most important, but it's really been the most interesting 547 00:30:19,280 --> 00:30:24,160 Speaker 1: because the podcast world took over, the news world is 548 00:30:24,280 --> 00:30:28,440 Speaker 1: kind of taking a step back. People don't trust news. 549 00:30:28,480 --> 00:30:30,360 Speaker 1: They want to hear it from somebody that they listen 550 00:30:30,400 --> 00:30:31,920 Speaker 1: to every day and they feel like they're in their 551 00:30:31,960 --> 00:30:35,240 Speaker 1: living room. That all these politicians have been pulled into that. 552 00:30:35,600 --> 00:30:38,280 Speaker 1: But because they're being pulled into that, these are people 553 00:30:38,360 --> 00:30:41,240 Speaker 1: that are asking questions that actually don't know much about civics. 554 00:30:41,560 --> 00:30:44,560 Speaker 1: They don't know what you are capable of, and they're like, 555 00:30:44,600 --> 00:30:45,640 Speaker 1: what are you going to do for this? What are 556 00:30:45,640 --> 00:30:47,240 Speaker 1: you going to do for that? And it's been like 557 00:30:47,320 --> 00:30:52,040 Speaker 1: this populist election cycle where every candidate is like, and 558 00:30:52,160 --> 00:30:53,840 Speaker 1: I'm going to do this, and I'm going to do that, 559 00:30:54,320 --> 00:30:59,160 Speaker 1: And I'm just wondering, when does the honesty get rained 560 00:30:59,480 --> 00:31:02,280 Speaker 1: back in, like or the lying at rain back in, 561 00:31:02,400 --> 00:31:06,800 Speaker 1: and like, well, to be honest, this is how government works. 562 00:31:06,960 --> 00:31:10,040 Speaker 1: If you've read a history book, if you understand the Constitution, 563 00:31:10,240 --> 00:31:13,520 Speaker 1: if you realize how the Founding was actually written up, 564 00:31:13,760 --> 00:31:16,680 Speaker 1: like you know that there are limitations and there are 565 00:31:16,720 --> 00:31:20,360 Speaker 1: best practices. You can't make everybody happy. That's what we 566 00:31:20,400 --> 00:31:22,479 Speaker 1: will take from this in history. We'll take that from 567 00:31:22,560 --> 00:31:24,840 Speaker 1: this election, and we'll see. We'll see. We've got another 568 00:31:24,880 --> 00:31:27,800 Speaker 1: election in two years. We'll see if everybody starts feeding 569 00:31:27,800 --> 00:31:30,280 Speaker 1: people Dorito's on social media. I have a feeling that's 570 00:31:30,320 --> 00:31:33,840 Speaker 1: not going to happen, but we'll see. We appreciate you 571 00:31:33,920 --> 00:31:36,640 Speaker 1: listening to us today. I thank you Kyle and Sarah 572 00:31:36,680 --> 00:31:40,280 Speaker 1: for being here. And as always, you can subscribe at 573 00:31:40,280 --> 00:31:43,160 Speaker 1: Tutor disonpodcast dot com or check us out on the 574 00:31:43,200 --> 00:31:46,920 Speaker 1: iHeartRadio app, Apple Podcasts, or wherever you get your podcasts. 575 00:31:47,280 --> 00:31:49,520 Speaker 1: And join us next time on the Tutor Dixon Podcast. 576 00:31:49,800 --> 00:31:52,240 Speaker 1: Have a blessed day.