1 00:00:01,360 --> 00:00:04,280 Speaker 1: Welcome to the Tutor Dixon Podcast. This is our group 2 00:00:04,440 --> 00:00:07,560 Speaker 1: podcast with the whole crew. Here at the Tutor Dixon Podcast. 3 00:00:07,600 --> 00:00:10,760 Speaker 1: We have Esteban, who is I love our group because 4 00:00:11,119 --> 00:00:14,120 Speaker 1: our group is all different generations. So Esteban is our 5 00:00:14,200 --> 00:00:17,200 Speaker 1: youngest generation. He's a gen Xer, I mean a gen Z. 6 00:00:17,400 --> 00:00:20,520 Speaker 1: I always screw that up, gen Z. Sarah is a millennial, 7 00:00:20,600 --> 00:00:24,040 Speaker 1: and Kyle and I are both gen Xers, even though 8 00:00:24,079 --> 00:00:25,720 Speaker 1: sometimes Kyle axeca millennial. 9 00:00:26,720 --> 00:00:27,400 Speaker 2: What does that mean? 10 00:00:28,880 --> 00:00:30,200 Speaker 3: I'm wondering the same thing. 11 00:00:31,240 --> 00:00:33,360 Speaker 2: What does that mean? You said it? 12 00:00:33,960 --> 00:00:36,239 Speaker 1: I mean, you know, millennials are a little bit difficult 13 00:00:36,360 --> 00:00:39,360 Speaker 1: and sometimes you give me grief. And but apparently so 14 00:00:39,479 --> 00:00:42,720 Speaker 1: this is I bring this up because gen Xers are 15 00:00:43,040 --> 00:00:46,479 Speaker 1: apparently even more difficult and they are becoming very difficult 16 00:00:46,560 --> 00:00:47,239 Speaker 1: in the workplace. 17 00:00:47,280 --> 00:00:49,080 Speaker 4: So you didn't know how good you had it with 18 00:00:49,159 --> 00:00:52,360 Speaker 4: me until we brought a gen x er. Whatever now, 19 00:00:53,600 --> 00:00:55,240 Speaker 4: gen Z, gen Z can't even. 20 00:00:55,320 --> 00:00:58,600 Speaker 1: Did I say gen x again? Okay, gen Z, you 21 00:00:58,640 --> 00:01:02,320 Speaker 1: guys you're the ones, Yes, but we don't. This is 22 00:01:02,320 --> 00:01:05,199 Speaker 1: not the case with Esteban at all, and I've never 23 00:01:05,280 --> 00:01:09,679 Speaker 1: found this with you. However, we over the years of 24 00:01:09,959 --> 00:01:12,959 Speaker 1: employing people of different ages. I will say the most 25 00:01:13,040 --> 00:01:16,520 Speaker 1: challenging generation that I've ever dealt with is the millennial generation. 26 00:01:16,600 --> 00:01:18,399 Speaker 1: And that's why I gave you grief about that, to 27 00:01:18,440 --> 00:01:22,360 Speaker 1: be honest, because we had a person one time who 28 00:01:22,400 --> 00:01:24,200 Speaker 1: told me that they were going to have to work 29 00:01:24,200 --> 00:01:26,440 Speaker 1: from home. Came to my office and was like, I'm 30 00:01:26,440 --> 00:01:28,720 Speaker 1: gonna have to work from home, which was totally foreign 31 00:01:28,760 --> 00:01:31,280 Speaker 1: to me because I come from the generation of like, 32 00:01:31,360 --> 00:01:33,560 Speaker 1: you're gonna bust your tail and you're going to stay 33 00:01:33,640 --> 00:01:36,680 Speaker 1: and put FaceTime in just because you have to prove yourself. 34 00:01:36,800 --> 00:01:40,600 Speaker 1: This is pre COVID too, yeah, oh yeah, yes, yes, yes. 35 00:01:40,959 --> 00:01:44,000 Speaker 1: And the reasoning was because the wall in front of 36 00:01:44,040 --> 00:01:46,640 Speaker 1: the desk was very blank and it was hard to 37 00:01:46,680 --> 00:01:48,760 Speaker 1: be creative. So this person was gonna have to work 38 00:01:48,800 --> 00:01:52,040 Speaker 1: from home. That was the kind of thing that like 39 00:01:52,840 --> 00:01:54,680 Speaker 1: shocked me. So when I got out of college, I 40 00:01:54,720 --> 00:01:57,640 Speaker 1: worked in Chicago and I worked at a PR firm, 41 00:01:58,360 --> 00:02:00,720 Speaker 1: and so I took the train downtown. I was in 42 00:02:00,720 --> 00:02:03,320 Speaker 1: the suburbs, took the train downtown, and you would put 43 00:02:03,360 --> 00:02:06,240 Speaker 1: in as many hours as your boss did. So it 44 00:02:06,320 --> 00:02:08,440 Speaker 1: was just about if your boss was there, you were 45 00:02:08,480 --> 00:02:10,840 Speaker 1: going to be there. And I had this amazing woman 46 00:02:10,880 --> 00:02:13,880 Speaker 1: as my boss. But she was a super hard worker 47 00:02:13,960 --> 00:02:17,200 Speaker 1: and she that was like her deal. No, she didn't 48 00:02:17,400 --> 00:02:19,160 Speaker 1: she wasn't married, she didn't have kids, so she stayed 49 00:02:19,160 --> 00:02:22,280 Speaker 1: at work super late. And then I remember I would 50 00:02:22,280 --> 00:02:26,280 Speaker 1: always be like, there's one express train back, and if 51 00:02:26,280 --> 00:02:28,280 Speaker 1: I don't make the express train, I'm going to be 52 00:02:28,320 --> 00:02:30,480 Speaker 1: getting back after eleven o'clock and then I have to 53 00:02:30,480 --> 00:02:33,360 Speaker 1: be back here at you know, seven thirty eight o'clock. 54 00:02:34,040 --> 00:02:36,080 Speaker 1: It didn't matter, that was just what you did. But 55 00:02:36,200 --> 00:02:41,240 Speaker 1: now like this new gen Z generation, they are like 56 00:02:42,480 --> 00:02:44,640 Speaker 1: this new study just came up. They're like, we want 57 00:02:44,840 --> 00:02:48,160 Speaker 1: four day work weeks. Like I can't even imagine doing this. 58 00:02:48,280 --> 00:02:51,240 Speaker 1: When I was yeahing like, oh, I'll only work for 59 00:02:51,360 --> 00:02:53,000 Speaker 1: day workers and they want to be able to come 60 00:02:53,040 --> 00:02:54,600 Speaker 1: in at ten thirty and then I don't know, did 61 00:02:54,600 --> 00:02:57,120 Speaker 1: you guys see that recent study where or a recent 62 00:02:57,520 --> 00:03:01,600 Speaker 1: report I guess. Quiet vacationing. Have you heard of quiet vacation? 63 00:03:01,720 --> 00:03:01,880 Speaker 5: Yes? 64 00:03:01,960 --> 00:03:03,080 Speaker 3: I have so. 65 00:03:03,160 --> 00:03:05,880 Speaker 1: Quiet vacationing is like these people that work from home 66 00:03:06,000 --> 00:03:08,679 Speaker 1: but they're actually on vacation and they never tell anybody. 67 00:03:08,720 --> 00:03:11,640 Speaker 1: They just like check in with work, but they're actually 68 00:03:11,760 --> 00:03:15,440 Speaker 1: on vacation, which I think is terrible. What do you 69 00:03:15,440 --> 00:03:15,919 Speaker 1: think about it? 70 00:03:16,000 --> 00:03:20,160 Speaker 5: As I'm taking notes, I'm going to use some of 71 00:03:20,160 --> 00:03:22,600 Speaker 5: this stuff later when he's organized. I'm gonna need to 72 00:03:22,639 --> 00:03:24,799 Speaker 5: take a mental health day for the next five weeks. 73 00:03:26,000 --> 00:03:27,000 Speaker 3: That's another thing. They want. 74 00:03:27,080 --> 00:03:29,560 Speaker 1: Unlimited paid time off. That was another thing in the 75 00:03:29,639 --> 00:03:32,440 Speaker 1: in the survey, they're asking for one and four are 76 00:03:32,440 --> 00:03:33,000 Speaker 1: asking on. 77 00:03:33,000 --> 00:03:34,560 Speaker 3: Top of only a four day work week. 78 00:03:34,720 --> 00:03:39,000 Speaker 1: Yes, unlimited. Can you imagine, like what unlimited paid time off? 79 00:03:39,160 --> 00:03:41,480 Speaker 1: Who thinks that way? 80 00:03:41,600 --> 00:03:45,080 Speaker 4: I will say, I'm not defending them, but there are 81 00:03:45,240 --> 00:03:48,440 Speaker 4: studies that show that if you have unlimited paid time off, 82 00:03:48,440 --> 00:03:50,640 Speaker 4: you actually take less vacation. 83 00:03:51,800 --> 00:03:54,360 Speaker 3: Than you do if you have like eight weeks or 84 00:03:54,400 --> 00:03:54,800 Speaker 3: whatever it is. 85 00:03:54,840 --> 00:03:57,320 Speaker 1: I don't even know when you standard you have to 86 00:03:57,440 --> 00:03:58,800 Speaker 1: force yourself to take those. 87 00:03:58,680 --> 00:04:01,800 Speaker 4: Eight weeks because there's like your pressure then associated with it, 88 00:04:01,880 --> 00:04:04,040 Speaker 4: because I think you're like, well, it's unlimited, but I 89 00:04:04,040 --> 00:04:05,360 Speaker 4: don't want to be the one that takes the. 90 00:04:05,320 --> 00:04:06,880 Speaker 3: Most, and so you end up actually not you. 91 00:04:06,960 --> 00:04:09,320 Speaker 1: But then if it's all unlimited and people are just 92 00:04:09,440 --> 00:04:11,720 Speaker 1: vacationing all the time, I just think it's danger. 93 00:04:11,440 --> 00:04:13,120 Speaker 4: I think it's the mentality of the people that have 94 00:04:13,200 --> 00:04:14,440 Speaker 4: the unlimited. 95 00:04:14,000 --> 00:04:17,720 Speaker 2: For sure, yeah, I think it's the because that's our 96 00:04:17,760 --> 00:04:20,279 Speaker 2: policy is we don't have a I mean. 97 00:04:20,960 --> 00:04:22,720 Speaker 5: Are people. 98 00:04:23,320 --> 00:04:29,560 Speaker 2: I think everybody knows that most of the people are 99 00:04:29,600 --> 00:04:32,359 Speaker 2: sitting in this room. But yeah, so I think it 100 00:04:32,400 --> 00:04:37,039 Speaker 2: comes down to the personalities that you have on your team. 101 00:04:37,640 --> 00:04:39,520 Speaker 1: When you have a small team, you can do that. 102 00:04:39,640 --> 00:04:43,200 Speaker 1: When you have a manufacturing company and you're relying on 103 00:04:43,240 --> 00:04:47,200 Speaker 1: people and there's just I'm not coming in today and 104 00:04:47,279 --> 00:04:49,560 Speaker 1: I get to take a paid time off day, it's 105 00:04:49,640 --> 00:04:50,239 Speaker 1: just a mess. 106 00:04:50,279 --> 00:04:52,040 Speaker 4: And it's the type of job too, because I think 107 00:04:52,080 --> 00:04:54,159 Speaker 4: these are I mean, these are all office jobs. Clearly, 108 00:04:54,400 --> 00:04:56,440 Speaker 4: I would hope that that's what these people are asking for, 109 00:04:56,520 --> 00:05:00,680 Speaker 4: but they have no concept of what a job that is. Hey, 110 00:05:00,800 --> 00:05:02,800 Speaker 4: it's required to be here every day. If you take 111 00:05:02,800 --> 00:05:05,839 Speaker 4: a break, production stops, Like they just don't have an 112 00:05:05,920 --> 00:05:08,000 Speaker 4: understanding of what that type of job is. So they 113 00:05:08,040 --> 00:05:10,479 Speaker 4: want everyone to have a four day work week, but 114 00:05:10,600 --> 00:05:12,240 Speaker 4: that's just not possible in every industry. 115 00:05:12,600 --> 00:05:15,320 Speaker 1: But I do think that there's this new attitude of like, 116 00:05:15,600 --> 00:05:19,840 Speaker 1: you are privileged as an employer to have me, Whereas 117 00:05:19,960 --> 00:05:23,560 Speaker 1: when I was getting involved in business, I felt privileged 118 00:05:23,600 --> 00:05:25,640 Speaker 1: to have a job. And I know it's an employees 119 00:05:25,800 --> 00:05:28,520 Speaker 1: market where these employees are coming out and demanding things. 120 00:05:28,600 --> 00:05:31,479 Speaker 1: But we were at a chamber meeting a few months back, 121 00:05:31,920 --> 00:05:35,800 Speaker 1: and then graduates from the local community college were like, 122 00:05:36,000 --> 00:05:38,640 Speaker 1: here's the deal. We don't want to have to be 123 00:05:38,839 --> 00:05:40,640 Speaker 1: at work at eight o'clock. We want to come in 124 00:05:40,680 --> 00:05:42,360 Speaker 1: when we want, we want to leave when we want. 125 00:05:42,760 --> 00:05:47,400 Speaker 1: And there's the community college and all the professors all clapped, 126 00:05:47,520 --> 00:05:49,200 Speaker 1: and I looked around the room and all the businesses 127 00:05:49,240 --> 00:05:51,840 Speaker 1: were like, what is going to happen? And honestly, how 128 00:05:51,839 --> 00:05:53,400 Speaker 1: do you run a business that way? I mean, we 129 00:05:54,240 --> 00:05:56,120 Speaker 1: are respectful of each other, but like I said, we 130 00:05:56,160 --> 00:05:58,320 Speaker 1: were a small group. If you were trying to run 131 00:05:58,360 --> 00:06:00,400 Speaker 1: a business and people were just coming in at all 132 00:06:00,440 --> 00:06:03,159 Speaker 1: hours or just saying I'm not coming in, how do 133 00:06:03,200 --> 00:06:06,440 Speaker 1: you do that? And it's not this isn't really reality. 134 00:06:06,520 --> 00:06:09,760 Speaker 1: So anyway, I think it's very frustrating. I don't see 135 00:06:09,800 --> 00:06:14,720 Speaker 1: how we end up with people that are true doctors 136 00:06:14,800 --> 00:06:17,360 Speaker 1: and attorneys, and how do you end up with people 137 00:06:17,400 --> 00:06:20,280 Speaker 1: who are of these, you know, great skilled positions if 138 00:06:20,400 --> 00:06:22,640 Speaker 1: the attitude is I'll come and go when I please. 139 00:06:22,800 --> 00:06:25,440 Speaker 1: I think it's a mess, and and a lot of 140 00:06:25,440 --> 00:06:27,760 Speaker 1: it is blamed on parenting and parents that just wanted 141 00:06:27,800 --> 00:06:30,040 Speaker 1: to be friends with their kids. And I see that, 142 00:06:30,160 --> 00:06:32,919 Speaker 1: and sometimes I'm like, am I too lax with my 143 00:06:32,960 --> 00:06:37,280 Speaker 1: own kids? Because you know, you see all these influences 144 00:06:37,480 --> 00:06:42,240 Speaker 1: of let's give them their choices and give you know, 145 00:06:42,360 --> 00:06:44,720 Speaker 1: kids need choices. That's a big thing when my kids 146 00:06:44,720 --> 00:06:47,200 Speaker 1: were really little, was kids need choices. So instead of 147 00:06:47,320 --> 00:06:50,080 Speaker 1: telling them what to do, tell them, these are your 148 00:06:50,080 --> 00:06:51,919 Speaker 1: two choices, and see what they want to do. And 149 00:06:51,960 --> 00:06:54,000 Speaker 1: I'm like, oh my gosh, why did I ever give 150 00:06:54,040 --> 00:06:54,640 Speaker 1: them choices? 151 00:06:54,760 --> 00:06:56,920 Speaker 3: I don't think I ever want a choice. I don't 152 00:06:56,960 --> 00:06:59,520 Speaker 3: think I know it was get in the car or 153 00:06:59,560 --> 00:07:00,680 Speaker 3: be left home, Like. 154 00:07:01,160 --> 00:07:04,360 Speaker 1: Well, I'm not that big of a choice. No, Still 155 00:07:04,760 --> 00:07:07,080 Speaker 1: it's like do you want to wear green or blue? 156 00:07:08,800 --> 00:07:12,080 Speaker 2: But what I guess what is the root of that 157 00:07:12,120 --> 00:07:15,360 Speaker 2: sort of attitude where like I'm just not you can't 158 00:07:15,400 --> 00:07:20,000 Speaker 2: make me conform to the way your your society, or 159 00:07:20,040 --> 00:07:24,040 Speaker 2: your economy or your business works. And you're so the 160 00:07:24,080 --> 00:07:26,680 Speaker 2: story that you told about the graduates, and it was 161 00:07:26,720 --> 00:07:29,720 Speaker 2: like they go into that environment and they tell the 162 00:07:29,800 --> 00:07:33,880 Speaker 2: business this is the way it's going to be. I 163 00:07:33,880 --> 00:07:37,239 Speaker 2: guess I struggle to understand the mentality that goes into 164 00:07:37,280 --> 00:07:42,400 Speaker 2: that and is that and it is that a cultural thing? 165 00:07:42,480 --> 00:07:43,920 Speaker 2: Is that an individual thing? 166 00:07:44,360 --> 00:07:46,960 Speaker 5: Have you ever read the book If You give a 167 00:07:47,000 --> 00:07:49,960 Speaker 5: Mouse a Cookie? 168 00:07:49,840 --> 00:07:49,920 Speaker 4: Ye? 169 00:07:50,200 --> 00:07:53,600 Speaker 5: Yes, I think it started with that. I think I think, 170 00:07:53,800 --> 00:07:55,920 Speaker 5: you know, you give somebody an inn, they take a mile, 171 00:07:56,120 --> 00:07:58,920 Speaker 5: and then they you know, they see that they can 172 00:07:59,000 --> 00:08:02,320 Speaker 5: get more, and they'll just keep wanting more and more. 173 00:08:02,960 --> 00:08:08,640 Speaker 2: And is that combined with sort of this coddling mentality, like, yeah, 174 00:08:08,680 --> 00:08:11,520 Speaker 2: there's no right and wrong, there's there's no black and white. 175 00:08:11,720 --> 00:08:14,640 Speaker 2: And so if someone you know has that sort of 176 00:08:14,680 --> 00:08:18,640 Speaker 2: attitude that you can't tell me what to do, then 177 00:08:18,960 --> 00:08:23,200 Speaker 2: the teacher or the professor or the boss just conforms 178 00:08:23,240 --> 00:08:23,520 Speaker 2: to that. 179 00:08:23,920 --> 00:08:25,320 Speaker 1: Didn't you say you didn't have grades? 180 00:08:26,240 --> 00:08:30,360 Speaker 5: I I yeah, well I had, I had grades. I 181 00:08:30,440 --> 00:08:34,640 Speaker 5: had like a different system than most schools though I had. 182 00:08:34,720 --> 00:08:39,240 Speaker 5: I had proficient and not yet proficient, and I don't 183 00:08:39,240 --> 00:08:41,240 Speaker 5: remember what the third one was, but there was a 184 00:08:41,280 --> 00:08:45,959 Speaker 5: third one, and then we'd also didn't have really hard deadlines. 185 00:08:46,280 --> 00:08:49,040 Speaker 5: But I don't think that's necessarily comparable, because I think 186 00:08:49,040 --> 00:08:51,520 Speaker 5: that system actually works. I think it worked really well 187 00:08:51,559 --> 00:08:54,640 Speaker 5: for students, especially students who don't all learn like a 188 00:08:54,679 --> 00:08:57,079 Speaker 5: similar way. You can you can have a school where 189 00:08:57,360 --> 00:09:00,520 Speaker 5: students can't all learn the same way and having something 190 00:09:00,840 --> 00:09:03,600 Speaker 5: that gives them a little more leeway works. But in 191 00:09:03,720 --> 00:09:06,320 Speaker 5: terms of an how well are yeah, In terms of 192 00:09:06,360 --> 00:09:09,520 Speaker 5: an environment where you're working for somebody and you have 193 00:09:10,559 --> 00:09:13,040 Speaker 5: money on the line, you have productivity on the line, 194 00:09:13,240 --> 00:09:15,480 Speaker 5: you can't really get that same leeway. 195 00:09:15,840 --> 00:09:18,560 Speaker 1: Let's take a quick commercial break. We'll continue next on 196 00:09:18,600 --> 00:09:25,560 Speaker 1: a Tutor Dixon podcast. You say that system worked, and 197 00:09:25,640 --> 00:09:27,600 Speaker 1: you are a few years out of that system, But 198 00:09:27,679 --> 00:09:30,840 Speaker 1: I would love to see how the kids who got 199 00:09:30,880 --> 00:09:34,760 Speaker 1: out of that system and went to a really challenging 200 00:09:35,120 --> 00:09:37,480 Speaker 1: university where it was like, your deadlines are hard. Was 201 00:09:37,520 --> 00:09:40,720 Speaker 1: that a huge Was that hard for them to conform too? 202 00:09:40,880 --> 00:09:43,840 Speaker 1: Because like I even look at we have multiple schools 203 00:09:43,880 --> 00:09:46,560 Speaker 1: that come into our high school and one middle school 204 00:09:46,720 --> 00:09:49,480 Speaker 1: doesn't give homework and the other middle school does give homework. 205 00:09:49,679 --> 00:09:52,400 Speaker 1: The kids that didn't have homework really struggle when they 206 00:09:52,440 --> 00:09:55,640 Speaker 1: get to freshman year. So it's like, if life isn't 207 00:09:55,720 --> 00:09:59,160 Speaker 1: like that where deadlines aren't hard, because in life, deadlines 208 00:09:59,200 --> 00:10:04,640 Speaker 1: are hard. Is that chipping away at productivity and society? 209 00:10:05,840 --> 00:10:09,080 Speaker 5: I don't think so. I think that there's you know, 210 00:10:10,080 --> 00:10:12,560 Speaker 5: young people are smart enough to realize that the world's 211 00:10:12,640 --> 00:10:15,320 Speaker 5: not always going to bend to their wishes. Some people 212 00:10:15,360 --> 00:10:19,200 Speaker 5: are egotistical enough to expect that, but most young people 213 00:10:19,280 --> 00:10:22,240 Speaker 5: are smart enough to realize, I'm applying for a job 214 00:10:22,280 --> 00:10:25,920 Speaker 5: that has certain requirements, and if I don't meet those requirements, 215 00:10:25,920 --> 00:10:29,520 Speaker 5: then I'm not going to have a job anymore. I 216 00:10:29,559 --> 00:10:33,240 Speaker 5: think that there's a few examples of very loud people 217 00:10:33,400 --> 00:10:36,240 Speaker 5: who expect the world to listen to them, and there's 218 00:10:37,800 --> 00:10:39,920 Speaker 5: just as many examples of people who are willing to 219 00:10:39,920 --> 00:10:42,680 Speaker 5: give those people a platform. Yeah, and that's where this 220 00:10:42,760 --> 00:10:42,960 Speaker 5: is well. 221 00:10:42,960 --> 00:10:45,440 Speaker 1: And we have much easier access to platforms now. 222 00:10:45,520 --> 00:10:48,400 Speaker 5: Yeah, and that's where this kind of expectation of more 223 00:10:48,520 --> 00:10:52,120 Speaker 5: leeway and more give from employers comes from. But I 224 00:10:52,160 --> 00:10:54,520 Speaker 5: think most people, most of the people that I know 225 00:10:54,920 --> 00:10:58,200 Speaker 5: in my generation, are smart enough to realize that there's 226 00:10:58,280 --> 00:11:01,680 Speaker 5: going to be hardships in life. Gotta, you know, put 227 00:11:01,720 --> 00:11:04,000 Speaker 5: on your big boy boots and go to work. 228 00:11:04,280 --> 00:11:07,600 Speaker 1: Well, and my oldest is from that general is it 229 00:11:07,640 --> 00:11:10,200 Speaker 1: the general what is it the gen z ors? Yes, 230 00:11:10,240 --> 00:11:12,880 Speaker 1: the gen Z generation. And I think for her, there's 231 00:11:12,960 --> 00:11:15,719 Speaker 1: some weird things that happened with COVID where all of 232 00:11:15,760 --> 00:11:18,200 Speaker 1: a sudden rules were changed, and it took us a 233 00:11:18,280 --> 00:11:20,679 Speaker 1: while to get back to No. No, there are hard 234 00:11:20,679 --> 00:11:23,000 Speaker 1: deadlines and it was just a learning curve. And she 235 00:11:23,200 --> 00:11:26,240 Speaker 1: gets it now. Her sister maybe not so much. We're 236 00:11:26,280 --> 00:11:30,120 Speaker 1: still working on missing assignments. But I do think that 237 00:11:30,440 --> 00:11:32,560 Speaker 1: you have to. It is a maturity thing too, and 238 00:11:32,600 --> 00:11:34,760 Speaker 1: you grow over time. One person who I don't think 239 00:11:34,840 --> 00:11:36,840 Speaker 1: has ever grown out of this is Hillary Clinton. She 240 00:11:36,920 --> 00:11:38,160 Speaker 1: still thinks she's privileged. 241 00:11:38,240 --> 00:11:43,600 Speaker 2: Right, Good, that that's a transition. Yeah, so she Hillary 242 00:11:43,640 --> 00:11:46,439 Speaker 2: Clinton recently gave an interview to the New York Times 243 00:11:46,600 --> 00:11:52,520 Speaker 2: where she continued her her excuse to her which has 244 00:11:52,559 --> 00:11:54,120 Speaker 2: now been going on for eight years. 245 00:11:54,240 --> 00:11:57,040 Speaker 1: What wait, excuse of what? Did she deny an election? 246 00:11:57,600 --> 00:12:01,080 Speaker 2: Yes, she is some some would say she is the 247 00:12:01,160 --> 00:12:05,160 Speaker 2: original election denier, the original. 248 00:12:04,800 --> 00:12:11,240 Speaker 1: The oed No, no, that's Bill. 249 00:12:12,280 --> 00:12:21,440 Speaker 2: So anyway, so she causes that anyway, let's. 250 00:12:21,280 --> 00:12:24,319 Speaker 1: Try to maybe she lost the mail vote. 251 00:12:25,920 --> 00:12:28,880 Speaker 2: So anyway, So she did an interview with New York 252 00:12:28,880 --> 00:12:32,600 Speaker 2: Times and she is now saying women are the reason 253 00:12:32,640 --> 00:12:36,760 Speaker 2: that she didn't win the twenty sixteen election because her 254 00:12:37,400 --> 00:12:41,000 Speaker 2: argument is that James Comi, when he was head of 255 00:12:41,040 --> 00:12:46,600 Speaker 2: the FBI, reopened the email investigation into her emails and 256 00:12:46,640 --> 00:12:50,240 Speaker 2: said that she was extremely careless with how she handled 257 00:12:50,240 --> 00:12:54,920 Speaker 2: classified information. And her quote to the New York Times was, 258 00:12:55,480 --> 00:12:57,800 Speaker 2: but once he did that to me, the people, the 259 00:12:57,880 --> 00:13:03,760 Speaker 2: voters who left me were women. And so she has 260 00:13:03,840 --> 00:13:09,679 Speaker 2: blamed Vladimir Putin, she's blamed the Russians, she's blamed bought farms, 261 00:13:09,760 --> 00:13:13,520 Speaker 2: she's blamed women, she's blamed all kinds of people. And 262 00:13:13,640 --> 00:13:18,640 Speaker 2: what she's never done is taken responsibility for her own actions, 263 00:13:18,720 --> 00:13:21,959 Speaker 2: her lack of campaigning in Michigan and Wisconsin because she 264 00:13:22,040 --> 00:13:26,280 Speaker 2: thought she had those states locked up, and she just 265 00:13:27,840 --> 00:13:30,120 Speaker 2: she's just a very good example of a politician who 266 00:13:30,160 --> 00:13:34,640 Speaker 2: refuses to take example for what responsibility I should say, 267 00:13:35,200 --> 00:13:37,840 Speaker 2: for what she did to lose. 268 00:13:39,400 --> 00:13:39,880 Speaker 3: I love that. 269 00:13:40,160 --> 00:13:44,320 Speaker 4: The what she's probably one of the loudest feminists is 270 00:13:44,360 --> 00:13:46,280 Speaker 4: going out and blaming all of the women I think in. 271 00:13:46,240 --> 00:13:51,240 Speaker 1: The whole play about this now play. 272 00:13:50,520 --> 00:13:53,360 Speaker 2: Yeah, she has a play, yeah some Broadway or is 273 00:13:53,360 --> 00:13:54,000 Speaker 2: it off Broadway? 274 00:13:54,040 --> 00:13:57,040 Speaker 4: It's on Broadway at you, I don't know, I'm like, 275 00:13:57,040 --> 00:13:58,120 Speaker 4: what are you talking about? 276 00:13:58,240 --> 00:13:58,920 Speaker 3: She has a play. 277 00:13:59,040 --> 00:14:02,160 Speaker 5: It's called It's It's not necessarily it's about the women's 278 00:14:02,160 --> 00:14:05,880 Speaker 5: suffrage movement. And it's called selfs I think it's called. 279 00:14:05,920 --> 00:14:09,359 Speaker 1: Yeah, but like feminine. I mean, like really it's female empowerment. 280 00:14:09,440 --> 00:14:12,520 Speaker 1: So for her to have this play, which is suffering 281 00:14:12,559 --> 00:14:15,000 Speaker 1: itself on Broadway, to be honest, it's not doing well. 282 00:14:15,200 --> 00:14:18,520 Speaker 1: But for her to come after women, now, she's probably 283 00:14:18,600 --> 00:14:21,200 Speaker 1: like and it's women who aren't watching my play making 284 00:14:21,200 --> 00:14:24,280 Speaker 1: it successful. I mean, she's just a blamer. She's unappealing, 285 00:14:24,400 --> 00:14:27,520 Speaker 1: and that's why she lost. And so these this is 286 00:14:27,560 --> 00:14:30,120 Speaker 1: no surprise because she continues to say things like this 287 00:14:30,200 --> 00:14:35,320 Speaker 1: which make her more unappealing. And she comes from this 288 00:14:36,160 --> 00:14:41,000 Speaker 1: generation of Democrats who they can say something but and 289 00:14:41,040 --> 00:14:43,000 Speaker 1: they can attack the other side, but they can never 290 00:14:43,040 --> 00:14:46,920 Speaker 1: be attacked. You look like you're gonna say, there's. 291 00:14:46,760 --> 00:14:50,120 Speaker 5: I don't know, there's there's This is more of like 292 00:14:50,160 --> 00:14:53,040 Speaker 5: an opinion on most people who run for president. But 293 00:14:53,080 --> 00:14:56,600 Speaker 5: there's like a certain expectation that you are a part 294 00:14:56,640 --> 00:14:58,760 Speaker 5: of a certain class, so you are going to vote 295 00:14:58,760 --> 00:15:01,960 Speaker 5: for me. And that's where like that's where this label 296 00:15:02,000 --> 00:15:05,000 Speaker 5: of a spoiler candidate for third party candidates comes in. 297 00:15:05,080 --> 00:15:08,120 Speaker 5: And that's where there's I mean, there are people who 298 00:15:08,120 --> 00:15:11,480 Speaker 5: have been coddled so much by people lifting them up 299 00:15:11,960 --> 00:15:15,200 Speaker 5: that they just expect people to support them no matter what. 300 00:15:15,400 --> 00:15:18,840 Speaker 5: And Hillary Clinton was not a charismatic candidate. She wasn't 301 00:15:18,840 --> 00:15:21,240 Speaker 5: a fun candidate to be around. I mean, I can't 302 00:15:21,240 --> 00:15:25,480 Speaker 5: imagine working for her. I think that that's just a 303 00:15:25,520 --> 00:15:28,560 Speaker 5: reflection of Hillary Clinton as a person. She's just you know, 304 00:15:28,880 --> 00:15:32,480 Speaker 5: she's awkward. She's an horrible person. And yeah, you. 305 00:15:32,400 --> 00:15:37,440 Speaker 2: Can say horrible, I'll leave you. But but go back 306 00:15:37,560 --> 00:15:42,040 Speaker 2: to that time and the media coverage and the narrative 307 00:15:42,040 --> 00:15:44,240 Speaker 2: in her campaign was she was going to be the 308 00:15:44,280 --> 00:15:45,920 Speaker 2: first woman president. 309 00:15:46,440 --> 00:15:48,520 Speaker 3: And fight song at every event. 310 00:15:48,440 --> 00:15:53,280 Speaker 2: And so the expectation was that that's what women wanted 311 00:15:53,320 --> 00:15:56,200 Speaker 2: for her. She was going she was the symbol of 312 00:15:56,560 --> 00:16:00,320 Speaker 2: you know, feminism and all of that, and so the 313 00:16:00,520 --> 00:16:03,120 Speaker 2: expectation was that women were going to vote for her. 314 00:16:03,680 --> 00:16:06,520 Speaker 1: But I think that Esteban makes a good point, because 315 00:16:06,720 --> 00:16:09,920 Speaker 1: you wanted to talk about AOC. It's a very similar situation. 316 00:16:10,040 --> 00:16:13,720 Speaker 1: This woman has been like the symbol for socialists and 317 00:16:13,800 --> 00:16:16,640 Speaker 1: now there's discussion as to whether or not they even 318 00:16:16,720 --> 00:16:20,040 Speaker 1: endorse her. It's the fall from grace in politics is 319 00:16:20,080 --> 00:16:23,640 Speaker 1: now so fast, and I think that when it happens 320 00:16:24,200 --> 00:16:29,480 Speaker 1: for these people who were unappealing, like like Hillary Clinton. 321 00:16:29,480 --> 00:16:32,520 Speaker 1: But also I would say to the majority of people, 322 00:16:32,760 --> 00:16:36,760 Speaker 1: AOC is very unappealing the way she talks, the silly 323 00:16:36,800 --> 00:16:39,640 Speaker 1: thing she says. She has a small niche group that 324 00:16:39,760 --> 00:16:42,600 Speaker 1: is very strong, and she's in Congress. In Congress, you 325 00:16:42,680 --> 00:16:44,280 Speaker 1: only have to have a small niche group. And that's 326 00:16:44,320 --> 00:16:46,720 Speaker 1: what people, I don't think understand when they're like, oh 327 00:16:46,760 --> 00:16:49,320 Speaker 1: my gosh, Marjorie Hiller Green. I'm like, Hey, all she 328 00:16:49,400 --> 00:16:51,360 Speaker 1: cares about is are the people who vote for her, 329 00:16:51,440 --> 00:16:53,320 Speaker 1: and that works for her on her district. And this 330 00:16:53,400 --> 00:16:55,840 Speaker 1: has always worked for AOC in her district because all 331 00:16:55,880 --> 00:16:58,360 Speaker 1: she has to care about are the few people that 332 00:16:58,440 --> 00:17:01,840 Speaker 1: come out for her. But now the tables are turning 333 00:17:01,880 --> 00:17:05,040 Speaker 1: on her. And I find this fascinating because, like Hillary, 334 00:17:05,359 --> 00:17:08,879 Speaker 1: once that happens, you kind of see the person unravel 335 00:17:09,119 --> 00:17:11,399 Speaker 1: and I think she's been unraveling lately on the streets 336 00:17:11,400 --> 00:17:13,400 Speaker 1: of New York. But you can share with us your 337 00:17:13,400 --> 00:17:14,480 Speaker 1: story on the Socialists. 338 00:17:14,480 --> 00:17:14,640 Speaker 5: See. 339 00:17:14,680 --> 00:17:17,160 Speaker 4: Yeah, So there's a guy named Grayson Lanza and he's 340 00:17:17,280 --> 00:17:19,640 Speaker 4: from the Red Star as he calls himself, but he's 341 00:17:19,680 --> 00:17:22,639 Speaker 4: a member of the Democratic Socialists of America and he 342 00:17:22,680 --> 00:17:25,159 Speaker 4: has a peace out called endorsing AOC is a bridge 343 00:17:25,200 --> 00:17:29,399 Speaker 4: to nowhere, and I guess the DSA has been rife 344 00:17:29,440 --> 00:17:33,480 Speaker 4: with discussion about whether or not they should even endorse AOC. Again, 345 00:17:33,800 --> 00:17:35,720 Speaker 4: I mean, some of those things are your typical. What 346 00:17:35,760 --> 00:17:38,639 Speaker 4: she would expect of them. Is she supported Israel because 347 00:17:38,640 --> 00:17:41,800 Speaker 4: she voted present on the Iron Dome funding, So to 348 00:17:41,840 --> 00:17:44,240 Speaker 4: them that was a support for Israel. They don't like 349 00:17:44,320 --> 00:17:48,200 Speaker 4: that she was standing by and endorsing Biden. But what's interesting, though, 350 00:17:48,320 --> 00:17:50,680 Speaker 4: is they talk about how they wanted to have regular 351 00:17:50,800 --> 00:17:53,080 Speaker 4: meetings with her and open up a line of dialogue 352 00:17:53,080 --> 00:17:54,920 Speaker 4: and that was one of their goals with just their 353 00:17:55,040 --> 00:17:59,240 Speaker 4: political arm in general. But AOC's only met with them once. 354 00:18:00,119 --> 00:18:02,920 Speaker 4: So to your point, I mean, she is totally She's 355 00:18:02,960 --> 00:18:06,440 Speaker 4: come to them and asked, she requested to receive their endorsement, 356 00:18:06,840 --> 00:18:09,000 Speaker 4: but they don't feel like they've been heard. And so 357 00:18:09,119 --> 00:18:12,480 Speaker 4: now they're saying if they want her to reindorse them, 358 00:18:12,600 --> 00:18:15,480 Speaker 4: they have a list of demands for her, and you know, 359 00:18:15,560 --> 00:18:18,679 Speaker 4: it's publicly opposing any and all US government spending on 360 00:18:18,760 --> 00:18:20,320 Speaker 4: Israel and her support for Biden. 361 00:18:20,720 --> 00:18:22,000 Speaker 3: But there's other things on there. 362 00:18:22,640 --> 00:18:23,679 Speaker 1: No support for Biden. 363 00:18:24,000 --> 00:18:26,520 Speaker 4: Yeah, so they they want her to withdraw her endorsement 364 00:18:26,560 --> 00:18:29,119 Speaker 4: of Biden for president due to his active support of 365 00:18:29,160 --> 00:18:30,280 Speaker 4: the genocide in Gaza. 366 00:18:30,400 --> 00:18:32,040 Speaker 1: What did he say about her? She's a pretty smart 367 00:18:32,119 --> 00:18:33,359 Speaker 1: chicken and good person to talk to. 368 00:18:33,640 --> 00:18:37,280 Speaker 4: Yep, So they are it's kind of like the the 369 00:18:37,320 --> 00:18:41,040 Speaker 4: glass what was it rose colored glasses they had on 370 00:18:41,080 --> 00:18:44,320 Speaker 4: AOC And now they're realizing she's just like any other politician. 371 00:18:44,480 --> 00:18:47,720 Speaker 4: She's catering to her middle or to her extreme to 372 00:18:47,720 --> 00:18:49,639 Speaker 4: get what she needs whenever. 373 00:18:49,680 --> 00:18:51,520 Speaker 1: It's I think it's hard when you run and you're 374 00:18:51,680 --> 00:18:55,359 Speaker 1: so extreme. And I don't know that her district is 375 00:18:55,400 --> 00:18:58,840 Speaker 1: as extreme as she came off, but I think it was. 376 00:18:59,240 --> 00:19:04,120 Speaker 1: She was marketed really well, what are your thoughts on AOC? 377 00:19:04,400 --> 00:19:13,960 Speaker 5: Yeah, she uh, she's a very inspiring woman. Who went like, 378 00:19:14,520 --> 00:19:16,520 Speaker 5: I want to say this, I don't agree with her. 379 00:19:16,760 --> 00:19:18,320 Speaker 1: Well, what you're talking points, I'm just kidding. 380 00:19:18,720 --> 00:19:20,840 Speaker 5: I don't agree with her anything, but it's it's pretty 381 00:19:20,880 --> 00:19:24,040 Speaker 5: impressive to go from in a span of five years 382 00:19:24,080 --> 00:19:26,640 Speaker 5: from being a bartender to being a member of Congress. 383 00:19:26,680 --> 00:19:28,800 Speaker 5: That's impressive and that's something that you gotta fight for, 384 00:19:28,880 --> 00:19:30,600 Speaker 5: and she's fought really hard to. 385 00:19:31,040 --> 00:19:34,080 Speaker 1: Love how they like, I are totally like, yeah, that's 386 00:19:34,359 --> 00:19:36,959 Speaker 1: I mean to me, I think it's a total farce. 387 00:19:37,119 --> 00:19:39,639 Speaker 1: Like I don't think for a minute that she just 388 00:19:39,960 --> 00:19:42,640 Speaker 1: happened to go from a bartender to a member of Congress. 389 00:19:42,680 --> 00:19:44,800 Speaker 1: I think she was like chosen and groomed and they 390 00:19:44,840 --> 00:19:46,760 Speaker 1: created this congresswoman out of her. 391 00:19:46,920 --> 00:19:49,600 Speaker 4: I agree with that, but I don't think that. I 392 00:19:49,680 --> 00:19:52,760 Speaker 4: do think while she was running she did put work in. 393 00:19:53,119 --> 00:19:55,560 Speaker 4: I mean she did go and knock what were those like? 394 00:19:57,160 --> 00:19:59,560 Speaker 5: But in a primary she beaten the Yeah, I think at. 395 00:19:59,480 --> 00:20:02,560 Speaker 4: The beginning she did, like actually try to work whether 396 00:20:02,640 --> 00:20:04,560 Speaker 4: or not. I mean, she had a ton of support 397 00:20:04,600 --> 00:20:06,920 Speaker 4: on the back end from groups like this for. 398 00:20:07,119 --> 00:20:09,199 Speaker 1: Sure, who she doesn't want to come out. 399 00:20:09,280 --> 00:20:12,239 Speaker 4: But I actually she's now gone and she likes her 400 00:20:12,320 --> 00:20:15,680 Speaker 4: cush life as a politician, and she's not doing that anymore. 401 00:20:15,760 --> 00:20:16,359 Speaker 1: That's what I mean. 402 00:20:16,400 --> 00:20:19,719 Speaker 2: I'm sorry, because isn't there there's a difference between you know, 403 00:20:19,840 --> 00:20:24,600 Speaker 2: campaigning in your district and going to Washington, D C. 404 00:20:25,080 --> 00:20:27,760 Speaker 2: And trying to be a part of that ecosystem. In 405 00:20:27,840 --> 00:20:31,640 Speaker 2: your district, you can be as radical and as ridiculous 406 00:20:32,200 --> 00:20:34,119 Speaker 2: as you want to be, but if you want to 407 00:20:34,160 --> 00:20:36,760 Speaker 2: go to Washington, D C. And actually be on the 408 00:20:36,760 --> 00:20:39,520 Speaker 2: committees that you want to be on and you know, 409 00:20:39,600 --> 00:20:41,960 Speaker 2: get bills passed and do and sort of be a 410 00:20:42,000 --> 00:20:45,040 Speaker 2: player in Washington, d C. You have to play their game. 411 00:20:45,240 --> 00:20:48,199 Speaker 2: And so what's happening, I think, and this is obviously 412 00:20:48,280 --> 00:20:51,200 Speaker 2: not the first time this has happened, is she's playing 413 00:20:51,200 --> 00:20:54,560 Speaker 2: the DC game. Her local people don't like that she's 414 00:20:54,560 --> 00:20:57,159 Speaker 2: playing the DC game, and so she's got this problem 415 00:20:57,200 --> 00:20:57,560 Speaker 2: on her hand. 416 00:20:57,640 --> 00:21:00,320 Speaker 1: Let's take a quick commercial break. We'll continue next on 417 00:21:00,359 --> 00:21:08,360 Speaker 1: the Tutor Dixon Podcast. Eventually, everybody becomes the swamp of Washington, 418 00:21:08,400 --> 00:21:11,320 Speaker 1: and they are all giving each other this information for 419 00:21:11,359 --> 00:21:14,600 Speaker 1: that information, and there's favors behind the scenes, and everybody 420 00:21:14,640 --> 00:21:18,800 Speaker 1: has their friends and their enemies. But to me, she's 421 00:21:18,840 --> 00:21:22,200 Speaker 1: the worst kind because she ran on a fake message 422 00:21:22,200 --> 00:21:24,760 Speaker 1: that I don't believe she believed. I think she knew 423 00:21:24,760 --> 00:21:27,000 Speaker 1: that this was all a game, and I don't think 424 00:21:27,000 --> 00:21:29,159 Speaker 1: she really even understood what Congress was. I think she 425 00:21:29,320 --> 00:21:32,560 Speaker 1: was just like romanced by the idea. I like I've 426 00:21:32,600 --> 00:21:35,440 Speaker 1: said this before when I ran for office, I had 427 00:21:35,440 --> 00:21:38,160 Speaker 1: one of our elected officials here say as I walked 428 00:21:38,160 --> 00:21:40,280 Speaker 1: out of his office, don't let it seduce you. And 429 00:21:40,320 --> 00:21:42,280 Speaker 1: I think that's what happened with her. I think she 430 00:21:42,640 --> 00:21:46,239 Speaker 1: loved the fame. It was instant fame, and it was 431 00:21:46,320 --> 00:21:49,760 Speaker 1: so alluring that she was willing to spout this stuff 432 00:21:50,000 --> 00:21:53,080 Speaker 1: that she really didn't understand or care for what the 433 00:21:53,119 --> 00:21:55,959 Speaker 1: meaning was, because the goal was just to win. And 434 00:21:56,040 --> 00:21:58,359 Speaker 1: I think it was one of those situations where it's like, oh, shoot, 435 00:21:58,440 --> 00:22:01,400 Speaker 1: now we were actually I'm actually a congresswoman. And when 436 00:22:01,400 --> 00:22:04,800 Speaker 1: it comes down to it, you are held to account 437 00:22:04,800 --> 00:22:07,480 Speaker 1: by the people around you in Congress, you have you're 438 00:22:07,720 --> 00:22:10,879 Speaker 1: a member of a group, and you can't actually do 439 00:22:11,000 --> 00:22:13,719 Speaker 1: the things that you say. And now what happens to her, 440 00:22:13,760 --> 00:22:14,800 Speaker 1: Now she's just a phony. 441 00:22:15,000 --> 00:22:19,199 Speaker 4: Well I'm curious, though, is a non endorsement by the 442 00:22:19,200 --> 00:22:22,840 Speaker 4: socialists just as good as an endorsement. 443 00:22:22,800 --> 00:22:24,919 Speaker 3: By a legit group potentially. 444 00:22:24,760 --> 00:22:27,720 Speaker 4: Like our moderates now kind of like, oh, AOC is 445 00:22:27,800 --> 00:22:30,440 Speaker 4: not a Socialist. Maybe I don't know. I don't know 446 00:22:30,480 --> 00:22:34,040 Speaker 4: if I think endorsements matter altogether. But is are the 447 00:22:34,080 --> 00:22:36,160 Speaker 4: socialists coming out and saying she's not one of us? 448 00:22:36,280 --> 00:22:37,959 Speaker 3: Is that actually a plus for her? I don't know. 449 00:22:39,080 --> 00:22:41,199 Speaker 1: Yeah, I don't know if her district is that heavily 450 00:22:41,720 --> 00:22:43,920 Speaker 1: If she, like I said, she might have just been 451 00:22:44,040 --> 00:22:47,480 Speaker 1: a star at the moment, and who knows what will 452 00:22:47,520 --> 00:22:52,720 Speaker 1: happen now, but we'll see. Apparently raccoons are a bigger 453 00:22:52,760 --> 00:22:56,160 Speaker 1: deal for we now. I want to say, first of all, 454 00:22:57,080 --> 00:22:59,760 Speaker 1: Esteban has a love for raccoons, and I want to 455 00:22:59,760 --> 00:23:02,760 Speaker 1: bring the raccoons story yet because I don't know if 456 00:23:02,760 --> 00:23:06,679 Speaker 1: you've recently seen that. I think it's like a tweet 457 00:23:06,720 --> 00:23:09,359 Speaker 1: that's going around, the video of the mom who saves 458 00:23:09,359 --> 00:23:12,560 Speaker 1: her daughter from this crazy raccoon that is chewing on 459 00:23:12,600 --> 00:23:13,000 Speaker 1: her foot. 460 00:23:13,359 --> 00:23:19,800 Speaker 5: That's slander. And you know that's one example. It's they're 461 00:23:19,840 --> 00:23:22,160 Speaker 5: only thirty percent of raccoons have rabies. 462 00:23:22,440 --> 00:23:23,840 Speaker 1: Oh my god, thirty percent. 463 00:23:24,160 --> 00:23:26,040 Speaker 5: The odds are in my favor, is what I'm hearing 464 00:23:26,080 --> 00:23:26,480 Speaker 5: from that. 465 00:23:27,400 --> 00:23:30,600 Speaker 1: Do you know the protocol for preventing rabies? If you 466 00:23:30,640 --> 00:23:32,359 Speaker 1: think you've gotten it, I hear it's awful. 467 00:23:32,400 --> 00:23:34,840 Speaker 5: I think you have to, like within twenty four hours, 468 00:23:34,880 --> 00:23:37,040 Speaker 5: do a bunch of stuff. But I haven't done that 469 00:23:37,119 --> 00:23:40,320 Speaker 5: much research because again the majority of raccoons don't have rabies. 470 00:23:40,359 --> 00:23:42,240 Speaker 1: So the majority being. 471 00:23:43,720 --> 00:23:47,040 Speaker 5: Like I went to public school, I can't do math. 472 00:23:48,440 --> 00:23:54,880 Speaker 1: You're talking about, like, we we have a very big 473 00:23:54,920 --> 00:23:57,880 Speaker 1: amount of people are for a big amount of raccoons 474 00:23:57,880 --> 00:24:01,600 Speaker 1: that have raybies and you're willing to take the shots 475 00:24:01,640 --> 00:24:03,639 Speaker 1: are in your belly. And I feel like we talked 476 00:24:03,640 --> 00:24:05,080 Speaker 1: about this the other day and you were not a 477 00:24:05,119 --> 00:24:06,000 Speaker 1: fan of belly shots. 478 00:24:06,080 --> 00:24:08,080 Speaker 3: But the raby shots are in your belly, is what 479 00:24:08,160 --> 00:24:08,520 Speaker 3: you're saying. 480 00:24:08,600 --> 00:24:11,560 Speaker 4: Yeah, again, if you get it, if you contract, is 481 00:24:11,600 --> 00:24:12,679 Speaker 4: it contracting rabies? 482 00:24:12,720 --> 00:24:13,680 Speaker 3: I don't know how you call it. 483 00:24:14,240 --> 00:24:19,600 Speaker 5: Yeah, I think it's more of So to get back 484 00:24:19,640 --> 00:24:23,440 Speaker 5: to the story itself again, thirty percent. I'm gonna sound 485 00:24:23,440 --> 00:24:26,400 Speaker 5: like a broken record here, a thirty percent. There's There 486 00:24:26,640 --> 00:24:30,400 Speaker 5: was an anime in the seventies called Rascal the Raccoon. 487 00:24:30,400 --> 00:24:32,560 Speaker 5: Have you ever seen the movie Rascal That There was 488 00:24:32,600 --> 00:24:35,000 Speaker 5: a Disney movie. They were based on the same book 489 00:24:35,680 --> 00:24:40,320 Speaker 5: about Yeah. It was a very popular anime and in 490 00:24:40,400 --> 00:24:43,479 Speaker 5: Japan in the seventies or eighties, a bunch of people 491 00:24:43,560 --> 00:24:48,760 Speaker 5: bought an imported pet raccoons, which is not that uncommon. 492 00:24:48,800 --> 00:24:51,760 Speaker 5: We've had a raccoon in the White House. It was 493 00:24:51,800 --> 00:24:56,120 Speaker 5: Bill Clinton. I'm just kidding it was it was. It 494 00:24:56,160 --> 00:24:59,320 Speaker 5: was Rebecca the Raccoon. Who was who was a White 495 00:24:59,359 --> 00:24:59,920 Speaker 5: House pet? 496 00:25:00,280 --> 00:25:01,000 Speaker 4: What for? Who? 497 00:25:01,760 --> 00:25:04,240 Speaker 5: I don't know, somebody it was supposed to be eating 498 00:25:04,280 --> 00:25:06,399 Speaker 5: on Thanksgiving. But it was so dark cute. 499 00:25:06,600 --> 00:25:07,760 Speaker 3: You threw a lot of things out. 500 00:25:08,480 --> 00:25:12,240 Speaker 1: Who would eat a raccoon? Do people eat raccoons Thanksgiving? 501 00:25:13,520 --> 00:25:18,320 Speaker 5: This was a while ago. Oh my gosh, we're going 502 00:25:18,359 --> 00:25:19,639 Speaker 5: to a completely different angle. 503 00:25:20,440 --> 00:25:23,600 Speaker 3: Looks like it was. President Coolidge's favorite pet was a raccoon. 504 00:25:25,160 --> 00:25:27,160 Speaker 1: Oh my gosh, and he was going to eat it. 505 00:25:27,720 --> 00:25:29,199 Speaker 1: I feel like that's hard for you. 506 00:25:29,440 --> 00:25:35,359 Speaker 5: A farmer sent it to Coolidge for Thanksgiving to eat, 507 00:25:36,160 --> 00:25:38,639 Speaker 5: and Coolidge did not want to eat it and instead 508 00:25:38,680 --> 00:25:41,600 Speaker 5: made it a cat or a pet. He had a 509 00:25:41,600 --> 00:25:43,760 Speaker 5: bunch of other animals too. It wasn't like it was 510 00:25:43,800 --> 00:25:48,600 Speaker 5: like basically back to Japan. A bunch of people bought 511 00:25:48,600 --> 00:25:50,880 Speaker 5: these raccoons and imported them, and then they got rid 512 00:25:50,920 --> 00:25:53,760 Speaker 5: of them when they realized raccoons take a lot of 513 00:25:54,240 --> 00:25:58,520 Speaker 5: work to maintain. They're not they're they're mischievous, they make 514 00:25:58,640 --> 00:26:01,200 Speaker 5: they cause a lot of damage. And so these raccoons 515 00:26:01,280 --> 00:26:04,879 Speaker 5: kind of flourished in the wild, and the raccoon population 516 00:26:05,000 --> 00:26:08,280 Speaker 5: in Japan, specifically Tokyo, has skyrocketed. 517 00:26:09,080 --> 00:26:11,439 Speaker 1: How weird. It's like Concrete City. 518 00:26:12,000 --> 00:26:14,920 Speaker 4: Well, but it's like the rats of New York City though, like, oh, 519 00:26:15,480 --> 00:26:17,680 Speaker 4: their Japan's raccoons are cuter. 520 00:26:18,200 --> 00:26:21,240 Speaker 5: Raccoons are cuter, but you know what rats are? Rats 521 00:26:21,240 --> 00:26:22,040 Speaker 5: are cute too. 522 00:26:22,040 --> 00:26:24,000 Speaker 1: No, what, okay, that's all totally. 523 00:26:24,200 --> 00:26:28,679 Speaker 5: Of over a thousand raccoons were caught in Tokyo in 524 00:26:28,760 --> 00:26:33,879 Speaker 5: twenty twenty three. A decade earlier, only two hundred and 525 00:26:33,920 --> 00:26:36,280 Speaker 5: fifty nine raccoons were caught in Tokyo. This thing is 526 00:26:36,320 --> 00:26:43,159 Speaker 5: like they're ballooning out of proportion now and unfortunately, So 527 00:26:43,280 --> 00:26:45,639 Speaker 5: this is my plan. I'm going to fly to Japan 528 00:26:45,680 --> 00:26:47,280 Speaker 5: and I'm going to bring them back over here, bring 529 00:26:47,320 --> 00:26:52,440 Speaker 5: them home, because Tokyo has has executed. 530 00:26:51,720 --> 00:26:53,840 Speaker 1: Clair fruit, hell alone raccoons. 531 00:26:55,040 --> 00:26:59,280 Speaker 5: Well, but Tokyo's killing them. Tokyo is murdering every single No, 532 00:26:59,720 --> 00:27:02,520 Speaker 5: that's not good, not good, it's not good. I'm gonna 533 00:27:02,520 --> 00:27:05,040 Speaker 5: fly over there. I'm gonna bring them back because I'll 534 00:27:05,040 --> 00:27:08,160 Speaker 5: tell you one thing. I saw two baby raccoons over 535 00:27:08,200 --> 00:27:11,640 Speaker 5: the weekend, two baby raccoons. I got close enough to 536 00:27:11,640 --> 00:27:16,919 Speaker 5: touch them, but I didn't because because statistically speaking, the 537 00:27:16,920 --> 00:27:18,920 Speaker 5: odds were not in my favor that one of them 538 00:27:19,000 --> 00:27:20,840 Speaker 5: may have rabies. 539 00:27:21,000 --> 00:27:24,200 Speaker 1: Yeah, but I agree to that. 540 00:27:24,840 --> 00:27:28,680 Speaker 5: I think that murdering raccoons is a bit extreme. I mean, 541 00:27:28,960 --> 00:27:31,840 Speaker 5: this is Japan. They've got space, they can do stuff. 542 00:27:31,600 --> 00:27:33,600 Speaker 1: They really don't Japan is small. 543 00:27:34,680 --> 00:27:38,680 Speaker 5: They give them houses, give like raccoon houses. You know what, 544 00:27:38,800 --> 00:27:41,280 Speaker 5: There was that one TV show this is a documentary, now, 545 00:27:41,320 --> 00:27:44,400 Speaker 5: there was that one TV show. They love reality TV. There, 546 00:27:44,440 --> 00:27:46,760 Speaker 5: they could just make that a show, raccoon house. I 547 00:27:46,800 --> 00:27:47,520 Speaker 5: would watch that. 548 00:27:48,320 --> 00:27:51,280 Speaker 3: What was that one zaboomafoo. Did you guys ever watch 549 00:27:51,320 --> 00:27:52,120 Speaker 3: that over the weekends? 550 00:27:52,240 --> 00:27:54,520 Speaker 1: Oh my gosh, no, yes, yes, where it. 551 00:27:54,520 --> 00:27:59,080 Speaker 4: Was like the live animal. Yeah, they could do that 552 00:27:59,160 --> 00:27:59,960 Speaker 4: with the raccoons. 553 00:28:00,320 --> 00:28:03,119 Speaker 5: Yeah. See, I think that we should. I don't know, 554 00:28:03,119 --> 00:28:05,800 Speaker 5: do you have any connections to Japan? Do you know anything? 555 00:28:05,760 --> 00:28:08,200 Speaker 1: I've never in hope. You bring a bunch of raccoons 556 00:28:08,200 --> 00:28:10,120 Speaker 1: over here, like you are on your own eye mind, 557 00:28:10,200 --> 00:28:13,960 Speaker 1: but keep them over there. But speaking of I want 558 00:28:14,000 --> 00:28:16,080 Speaker 1: to go back to President Coolidge for a second, because 559 00:28:16,080 --> 00:28:18,760 Speaker 1: he is an interesting president. He was a guy who 560 00:28:18,880 --> 00:28:22,200 Speaker 1: really did not intend to become president, but was sort 561 00:28:22,240 --> 00:28:24,879 Speaker 1: of like worked his way through the political system. But 562 00:28:25,200 --> 00:28:27,960 Speaker 1: his son, who I think was sixteen at the time 563 00:28:28,320 --> 00:28:30,399 Speaker 1: when he was in the overall office, he might have 564 00:28:30,400 --> 00:28:32,399 Speaker 1: been a little older. He was playing tennis on the 565 00:28:32,400 --> 00:28:34,800 Speaker 1: tennis courts and he ended up with a blister from 566 00:28:34,800 --> 00:28:37,359 Speaker 1: playing tennis, and then I think it was sepsis that 567 00:28:37,640 --> 00:28:40,680 Speaker 1: killed him from the blister, which is incredibly sad. And 568 00:28:41,120 --> 00:28:43,920 Speaker 1: it's believed that that's why he never ran for another term, 569 00:28:44,000 --> 00:28:47,560 Speaker 1: because he was so devastated by the death of his son. 570 00:28:47,680 --> 00:28:49,640 Speaker 1: And he was very faithful, and he said, you know, 571 00:28:49,720 --> 00:28:52,280 Speaker 1: I just I'm glad I got to serve the people. 572 00:28:52,320 --> 00:28:54,800 Speaker 1: I just don't understand why God chose that I had 573 00:28:54,800 --> 00:28:56,240 Speaker 1: to give up my son to do it. It's like 574 00:28:56,320 --> 00:28:58,480 Speaker 1: such a sad story. Anyway, that's a real bummer. 575 00:28:58,520 --> 00:29:00,200 Speaker 5: But you knew all this, but you didn't know he 576 00:29:00,240 --> 00:29:01,280 Speaker 5: had a raccoon. I know. 577 00:29:01,640 --> 00:29:03,120 Speaker 1: That's why I was like, how do I not know 578 00:29:03,160 --> 00:29:05,640 Speaker 1: about his raccoon? Maybe I blocked that part out because 579 00:29:05,640 --> 00:29:07,480 Speaker 1: of the whole thirty percent rabis thing. 580 00:29:07,680 --> 00:29:09,480 Speaker 2: I almost hit a raccoon Saturday night. 581 00:29:09,720 --> 00:29:12,120 Speaker 5: If you if I find out any of you kill 582 00:29:12,280 --> 00:29:15,400 Speaker 5: raccoons intentionally or unintentionally, I'm quitting. 583 00:29:15,960 --> 00:29:19,360 Speaker 1: Oh, I would hate for you to unintentionally kill a raccoon. 584 00:29:19,560 --> 00:29:22,360 Speaker 5: Yeah. If I unintentionally kill raccoon, that's it. 585 00:29:22,560 --> 00:29:23,520 Speaker 1: That's what. 586 00:29:25,120 --> 00:29:28,280 Speaker 5: I'm driving. And I'm living in the woods. 587 00:29:27,960 --> 00:29:31,640 Speaker 2: So is this your gen Z work demand. 588 00:29:32,600 --> 00:29:34,720 Speaker 5: Yeah, we have to have. We have to have like 589 00:29:34,760 --> 00:29:37,400 Speaker 5: a quota of raccoons rescued a month from Japan. 590 00:29:41,360 --> 00:29:44,360 Speaker 2: Well, I'll just tell my story. So basically, I was driving. 591 00:29:44,640 --> 00:29:48,360 Speaker 2: I was a two lane road driving home from the raceway, 592 00:29:49,320 --> 00:29:54,360 Speaker 2: and I'm you know, it's like a curving sort of street, 593 00:29:55,000 --> 00:29:57,400 Speaker 2: and all of a sudden I see this these green 594 00:29:57,480 --> 00:30:02,719 Speaker 2: eyes or a green light moving across the street and 595 00:30:02,800 --> 00:30:04,880 Speaker 2: I went, oh, that's a raccoon. And I realized I 596 00:30:04,920 --> 00:30:07,360 Speaker 2: was going to hit it because it was too close 597 00:30:07,400 --> 00:30:11,040 Speaker 2: and it was moving too fast. So I honked and 598 00:30:11,200 --> 00:30:15,440 Speaker 2: it stopped and it was like this as I drove by. 599 00:30:15,960 --> 00:30:18,200 Speaker 2: It was very frightening, but he lived. 600 00:30:19,960 --> 00:30:21,760 Speaker 3: I didn't save it's life. 601 00:30:22,480 --> 00:30:22,800 Speaker 2: It did. 602 00:30:22,920 --> 00:30:25,520 Speaker 1: Yes, you're young. There's time for you to accidentally hit 603 00:30:25,560 --> 00:30:27,080 Speaker 1: a raccoon. And then let me tell you. When you 604 00:30:27,120 --> 00:30:30,520 Speaker 1: accidentally hit an animal, it is terrible, but it can happen. 605 00:30:31,200 --> 00:30:32,200 Speaker 1: Have you ever hit an animal? 606 00:30:32,360 --> 00:30:35,600 Speaker 5: No, I'm a good driver. I'm a driver. 607 00:30:36,200 --> 00:30:39,200 Speaker 1: Yeah, well good drivers run them right over because you. 608 00:30:39,240 --> 00:30:41,080 Speaker 3: Don't say I don't think that's a stipulation. 609 00:30:41,320 --> 00:30:45,320 Speaker 1: That's the plan. If the driver said you see an animal, 610 00:30:47,400 --> 00:30:50,240 Speaker 1: did you get away with that what he's like. I'm 611 00:30:50,320 --> 00:30:51,720 Speaker 1: gen z. I don't need to do it. 612 00:30:54,040 --> 00:30:57,640 Speaker 5: Took a sick day and then I had because I 613 00:30:57,680 --> 00:31:00,440 Speaker 5: wasn't feeling well. That's how my life. If you look 614 00:31:00,440 --> 00:31:03,120 Speaker 5: at my license, it's actually just a picture of my friend. 615 00:31:04,520 --> 00:31:10,320 Speaker 1: That's scary, lovely. Well, it's been an enjoy talking to 616 00:31:10,360 --> 00:31:13,360 Speaker 1: you all about raccoons and everything else. So we will 617 00:31:13,440 --> 00:31:17,320 Speaker 1: continue to do these episodes every Thursday. If you guys 618 00:31:17,440 --> 00:31:19,880 Speaker 1: like them, you know what, send us a note, talk 619 00:31:19,920 --> 00:31:21,880 Speaker 1: to us on social media, tell us what you think 620 00:31:21,960 --> 00:31:24,160 Speaker 1: we want to hear about it, and we'll keep doing it. 621 00:31:24,240 --> 00:31:27,520 Speaker 1: So next time, tune in Tutor Dixon Podcast. It's the 622 00:31:27,560 --> 00:31:31,320 Speaker 1: iHeartRadio app, Apple Podcasts or wherever you get your podcasts, 623 00:31:31,520 --> 00:31:33,360 Speaker 1: and we hope you'll join us next time. Have a 624 00:31:33,360 --> 00:31:36,800 Speaker 1: blessed day.