1 00:00:00,200 --> 00:00:06,880 Speaker 1: Yo, this food not only beat the case got his 2 00:00:07,080 --> 00:00:13,720 Speaker 1: homies sentence reduced so much so that the prosecution doesn't 3 00:00:13,800 --> 00:00:17,759 Speaker 1: quit their job. And now you're gonna fire everybody that 4 00:00:17,880 --> 00:00:19,960 Speaker 1: actually sung to the police. I mean, how are you 5 00:00:20,000 --> 00:00:22,079 Speaker 1: supposed to go back to work anyway after you didn't 6 00:00:22,120 --> 00:00:27,760 Speaker 1: like testified? Oh, they're losing their jobs because and already 7 00:00:27,800 --> 00:00:42,400 Speaker 1: have that's a boss move. Who politics, y'all? So in 8 00:00:42,400 --> 00:00:44,479 Speaker 1: this episode of hood Politics, We're gonna sort of take 9 00:00:44,520 --> 00:00:46,519 Speaker 1: the premise and flip it on its head. What do 10 00:00:46,560 --> 00:00:49,320 Speaker 1: I mean by that? We're gonna take our hood antennas 11 00:00:50,360 --> 00:00:54,640 Speaker 1: and not so much user to understand politics, but to 12 00:00:54,840 --> 00:01:01,720 Speaker 1: understand other people and how politics affects them and maybe 13 00:01:01,760 --> 00:01:07,720 Speaker 1: see ourselves in people that one don't believe me and 14 00:01:07,760 --> 00:01:11,679 Speaker 1: you are like already and two you probably I kind 15 00:01:11,720 --> 00:01:15,120 Speaker 1: of don't want to see yourself in. So we interviewed 16 00:01:15,160 --> 00:01:19,440 Speaker 1: my homegirl, Niche, who brands this pod called Impolite Politics. 17 00:01:19,480 --> 00:01:24,160 Speaker 1: First of all, Nis is brilliant and there's not enough 18 00:01:24,880 --> 00:01:28,119 Speaker 1: words to express how amazing she is and how necessary 19 00:01:28,200 --> 00:01:31,080 Speaker 1: she is for the culture. So I'm gonna talk to 20 00:01:31,120 --> 00:01:47,000 Speaker 1: her about a lot of things. Check it all right, ladies, 21 00:01:47,000 --> 00:01:50,639 Speaker 1: and gentlemen, this is a special episode. Uh, We're going 22 00:01:51,120 --> 00:01:56,200 Speaker 1: across town, across the railroad tracks, up the street, around 23 00:01:56,240 --> 00:02:02,240 Speaker 1: the ConA, all the way to Salt Lakes City, Utah. Y'all, 24 00:02:02,360 --> 00:02:06,680 Speaker 1: I don't even know how to pronounce your last number. One. 25 00:02:06,840 --> 00:02:09,360 Speaker 1: I don't know how I feel about being addressed as 26 00:02:09,400 --> 00:02:13,519 Speaker 1: the girl from the other side of the tracks. Okay, 27 00:02:14,840 --> 00:02:21,840 Speaker 1: my last name is Wi. This is Nishi, y'all, make 28 00:02:21,919 --> 00:02:24,800 Speaker 1: some noise for Nish. What's up? Names we're calling this 29 00:02:24,840 --> 00:02:28,680 Speaker 1: one would politics because I live in the woods actually 30 00:02:28,680 --> 00:02:31,880 Speaker 1: like an Idaho now, which is crazy. Are you an Idhodho? 31 00:02:32,000 --> 00:02:34,680 Speaker 1: It's even like I'm in central Idaho. I'm in a 32 00:02:34,800 --> 00:02:38,560 Speaker 1: tiny rural town of about three thousand people. So this 33 00:02:38,600 --> 00:02:41,160 Speaker 1: is about to get real. You're about to How are 34 00:02:41,200 --> 00:02:45,840 Speaker 1: you doing that? Can talk about that? Do talk about 35 00:02:45,840 --> 00:02:47,880 Speaker 1: that a little later. Well, you probably have much more 36 00:02:48,040 --> 00:02:55,760 Speaker 1: land than I do, and probably probably it smells amazing 37 00:02:56,280 --> 00:03:00,240 Speaker 1: like pine trees outside. That's that's kind of amazing. Like 38 00:03:00,440 --> 00:03:04,200 Speaker 1: there are times like I'm definitely like a water soul, 39 00:03:04,400 --> 00:03:06,760 Speaker 1: like like in the sense that like I need a 40 00:03:06,800 --> 00:03:11,560 Speaker 1: beach somewhere within an hour. But um, yeah, but some 41 00:03:11,600 --> 00:03:15,519 Speaker 1: people are like you know, mountain souls and like forest souls. 42 00:03:15,560 --> 00:03:17,320 Speaker 1: You know what I'm saying that like this, So when 43 00:03:17,360 --> 00:03:19,239 Speaker 1: I get there and the smell of like the pine tree, 44 00:03:19,280 --> 00:03:24,399 Speaker 1: You're just like, oh, this is it's nice. So this 45 00:03:24,480 --> 00:03:29,840 Speaker 1: is so this is oxygen. That's where it all comes. Yeah. Yeah, 46 00:03:29,840 --> 00:03:33,280 Speaker 1: it's amazing. It's so nice. It's peaceful, it's quiet. We 47 00:03:33,360 --> 00:03:36,560 Speaker 1: moved here like three years ago, almost three years ago 48 00:03:36,560 --> 00:03:40,400 Speaker 1: in March, and it's one of the weirdest things. We 49 00:03:40,480 --> 00:03:43,280 Speaker 1: moved from Salt Lake City and we lived across the 50 00:03:43,320 --> 00:03:46,360 Speaker 1: street from like the grocery store, bus stop apartment complexes 51 00:03:46,440 --> 00:03:48,760 Speaker 1: next door. It's just like noise all the time, like 52 00:03:48,800 --> 00:03:50,960 Speaker 1: you live in the city, you know, there's just ants, 53 00:03:51,000 --> 00:03:54,120 Speaker 1: constant hum all the time. And moving from there to 54 00:03:54,960 --> 00:03:59,240 Speaker 1: the woods, literally the woods, it took me weeks to 55 00:03:59,280 --> 00:04:02,760 Speaker 1: be able to false leave because it was silent. It 56 00:04:02,880 --> 00:04:06,240 Speaker 1: was silent outside. I'm like where I like, had you 57 00:04:06,240 --> 00:04:08,720 Speaker 1: start using white noise machine. I was like, this little 58 00:04:08,760 --> 00:04:14,920 Speaker 1: weird nightmare. So everything okay, it feels a little serial 59 00:04:15,000 --> 00:04:18,640 Speaker 1: killer ish, but we're gonna We're gonna get over it. 60 00:04:19,520 --> 00:04:23,000 Speaker 1: Oh man, it's so funny. So this is a is 61 00:04:23,040 --> 00:04:28,919 Speaker 1: a political expert, brilliant home Girl, super Dope, so glad 62 00:04:28,960 --> 00:04:33,680 Speaker 1: to do this. Um, we're gonna get girl. You already know. 63 00:04:36,200 --> 00:04:39,960 Speaker 1: Here's what sparked this episode to catch everybody up. I 64 00:04:40,040 --> 00:04:43,560 Speaker 1: was during the two thousand and sixteen election, like listening 65 00:04:43,640 --> 00:04:47,200 Speaker 1: to the complaints of like the coal miner, like just 66 00:04:47,240 --> 00:04:49,040 Speaker 1: trying not to you know that at that time, like 67 00:04:49,080 --> 00:04:51,680 Speaker 1: it was okay to sort of peek into somebody else's 68 00:04:51,680 --> 00:04:53,960 Speaker 1: echo chamber and just learn something back then you do. 69 00:04:54,000 --> 00:04:55,719 Speaker 1: You know what I'm saying. It was like it wasn't 70 00:04:55,800 --> 00:05:00,960 Speaker 1: as like, um sacrilegious, right, So oh, I was just 71 00:05:01,000 --> 00:05:02,560 Speaker 1: speaking and I was just like I'm trying to hear. 72 00:05:02,600 --> 00:05:03,960 Speaker 1: I want to hear what you have to say, like 73 00:05:04,000 --> 00:05:06,560 Speaker 1: help me understand your argument. I'm listening to a call 74 00:05:06,640 --> 00:05:09,160 Speaker 1: of mine. I'm listening to like people talk about just 75 00:05:09,240 --> 00:05:12,359 Speaker 1: like opioids, painkillers and stuff like that. And then just 76 00:05:12,400 --> 00:05:14,520 Speaker 1: like trying to get my brain around these laws and 77 00:05:14,560 --> 00:05:17,000 Speaker 1: like you know, meth and stuff like that. Like we've 78 00:05:17,040 --> 00:05:19,440 Speaker 1: always thought that like meth was like that's like a 79 00:05:19,480 --> 00:05:23,200 Speaker 1: that's a white drug. Obviously, drugs are indiscriminate. Drugs are 80 00:05:23,200 --> 00:05:26,680 Speaker 1: the most tolerant, right thing that we have. You know 81 00:05:26,680 --> 00:05:29,760 Speaker 1: what I'm saying in relation to where they were going, 82 00:05:30,200 --> 00:05:34,640 Speaker 1: what was happening, who's being affected, and how the justice 83 00:05:34,680 --> 00:05:38,120 Speaker 1: system was treating people involved in this. I was like, Yo, 84 00:05:38,240 --> 00:05:43,719 Speaker 1: this is super familiar, like you know in listening to 85 00:05:44,600 --> 00:05:49,240 Speaker 1: when someone's an addict being like so so the solution 86 00:05:49,279 --> 00:05:51,360 Speaker 1: to this addiction has put them in prison. That's like 87 00:05:51,720 --> 00:05:54,400 Speaker 1: I don't know, like I where did y'all get Where 88 00:05:54,400 --> 00:05:57,440 Speaker 1: did that come from? Right? And the pusher, who's who's 89 00:05:57,480 --> 00:06:02,000 Speaker 1: being Who's who's like selling these drugs? It depended on 90 00:06:02,120 --> 00:06:05,680 Speaker 1: what level of the chain of product, Like the product 91 00:06:05,760 --> 00:06:07,599 Speaker 1: chain depends on where you are in the product chain 92 00:06:07,920 --> 00:06:10,120 Speaker 1: as to like how much time you're gonna get right. 93 00:06:10,440 --> 00:06:12,960 Speaker 1: So in me, it was this just looks like it 94 00:06:13,120 --> 00:06:15,200 Speaker 1: just looks like the crack attack. It just looks like 95 00:06:15,480 --> 00:06:18,800 Speaker 1: I know where the crack came from, the CIA. You 96 00:06:18,839 --> 00:06:21,479 Speaker 1: know what I'm saying like this saying like you we 97 00:06:21,520 --> 00:06:24,800 Speaker 1: don't like you brought like y'all brought this here. No 98 00:06:24,839 --> 00:06:29,880 Speaker 1: one's nobody going to jail except for the distributor. You know. 99 00:06:30,400 --> 00:06:33,160 Speaker 1: So when I'm looking at this, I just look at 100 00:06:33,160 --> 00:06:35,599 Speaker 1: the Sackler family and you know this, these other like 101 00:06:35,920 --> 00:06:39,599 Speaker 1: companies that knowing full well what they're selling these people 102 00:06:39,800 --> 00:06:43,479 Speaker 1: is killing them, Like when it when are they going 103 00:06:43,480 --> 00:06:48,320 Speaker 1: to jail? Right? You know, where is the rehabilitation part 104 00:06:48,360 --> 00:06:50,559 Speaker 1: of this? Right? So it just almost made me feel 105 00:06:50,560 --> 00:06:55,080 Speaker 1: like you put the same ingredients into any situation, what's 106 00:06:55,080 --> 00:06:58,279 Speaker 1: gonna come out is this. It's crimes of survival, it's addiction. 107 00:06:58,400 --> 00:07:00,480 Speaker 1: Is somebody saying, look it better your family to my 108 00:07:00,640 --> 00:07:03,440 Speaker 1: family is not like it is not like there's jobs, right, 109 00:07:03,440 --> 00:07:04,560 Speaker 1: So what do you want me to do? You want 110 00:07:04,560 --> 00:07:07,400 Speaker 1: to go get a job? Like where where I'd love 111 00:07:07,480 --> 00:07:10,520 Speaker 1: to go get a job where? So that made me say, 112 00:07:10,560 --> 00:07:12,200 Speaker 1: I think, I think we have more in common than 113 00:07:12,640 --> 00:07:15,840 Speaker 1: we know. Yeah, that's exactly right. And I think that 114 00:07:16,120 --> 00:07:20,320 Speaker 1: so much of the problem is inherent across cultures, which 115 00:07:20,400 --> 00:07:24,120 Speaker 1: is especially when it comes to drug addiction, opioid addiction, 116 00:07:24,440 --> 00:07:27,000 Speaker 1: alcohol abuse, like you name it right, like that there 117 00:07:27,280 --> 00:07:33,600 Speaker 1: is a fundamental taboo and misunderstanding about the nature of 118 00:07:34,280 --> 00:07:38,680 Speaker 1: addictive substances and people's propensity for addiction, and that it 119 00:07:38,840 --> 00:07:42,640 Speaker 1: is a mental health tragedy. It is a it is 120 00:07:42,800 --> 00:07:46,560 Speaker 1: a it's a crisis. It's a mental health addiction is 121 00:07:46,560 --> 00:07:49,080 Speaker 1: a mental health crisis. That's what it is. And the 122 00:07:49,120 --> 00:07:52,960 Speaker 1: more that we can identify it for what it actually is. 123 00:07:54,440 --> 00:07:57,760 Speaker 1: I think the more will probably see some forward movement 124 00:07:58,200 --> 00:08:00,680 Speaker 1: on things like opioids and that sort of thing that 125 00:08:00,720 --> 00:08:04,240 Speaker 1: you know we see affect our community, which you know, 126 00:08:04,320 --> 00:08:08,520 Speaker 1: we do have, you know, math opiate use, severe alcoholism 127 00:08:08,560 --> 00:08:13,400 Speaker 1: where we live, and a lot of that is perpetuated 128 00:08:13,400 --> 00:08:20,200 Speaker 1: by poor economic mobility, poor economic stability, and unaddressed mental 129 00:08:20,240 --> 00:08:24,320 Speaker 1: health issues. Tell me how that looks on the ground 130 00:08:24,640 --> 00:08:28,400 Speaker 1: in the family unit where you live, Like what does 131 00:08:28,400 --> 00:08:29,760 Speaker 1: that look like? Like, I know what it looks like 132 00:08:29,800 --> 00:08:33,920 Speaker 1: to be like, Okay, we're all in this together. Um, 133 00:08:34,000 --> 00:08:36,640 Speaker 1: you got one uncle that's hooked, one uncle that sells, 134 00:08:36,960 --> 00:08:38,480 Speaker 1: I'm going to jail. You know what I'm saying. It's 135 00:08:38,520 --> 00:08:41,439 Speaker 1: just like what it's doing to our mom, you know 136 00:08:41,440 --> 00:08:43,760 Speaker 1: what I'm saying. Like, you know, and you're kind of 137 00:08:43,760 --> 00:08:46,120 Speaker 1: caught in the middle. Like then, like you said, there's 138 00:08:46,120 --> 00:08:48,560 Speaker 1: no economic stability, Like how you know, how do you 139 00:08:48,559 --> 00:08:50,839 Speaker 1: look at your mom working three jobs and being like, 140 00:08:51,440 --> 00:08:53,560 Speaker 1: I know, if I just make this caper right quick, 141 00:08:53,679 --> 00:08:55,240 Speaker 1: three months worth the rent, you know what I mean? Like, 142 00:08:55,280 --> 00:08:58,320 Speaker 1: I know it looks like so maybe like lay this out, 143 00:08:58,320 --> 00:09:03,880 Speaker 1: like how does this look to the family. Yeah, that's 144 00:09:03,960 --> 00:09:06,240 Speaker 1: that's a really great question. And I think that in 145 00:09:06,240 --> 00:09:11,520 Speaker 1: regards to opia use and abuse in particularly in in 146 00:09:11,640 --> 00:09:14,040 Speaker 1: our community, I think a lot of what you'll see 147 00:09:14,360 --> 00:09:18,800 Speaker 1: is is it starts with someone going to the hospital, 148 00:09:20,000 --> 00:09:23,800 Speaker 1: right because they have an unaddressed health need, and they 149 00:09:23,840 --> 00:09:26,960 Speaker 1: go into an e ER because they don't actually have 150 00:09:27,040 --> 00:09:29,400 Speaker 1: health insurance, right like that, Like this is what I say, 151 00:09:29,400 --> 00:09:31,880 Speaker 1: Like there's all these layers, right, and so they don't 152 00:09:31,880 --> 00:09:34,600 Speaker 1: have health insurance, they don't have healthcare coverage, so they 153 00:09:34,600 --> 00:09:38,040 Speaker 1: can't afford to go to a clinic to actually determine 154 00:09:38,040 --> 00:09:39,800 Speaker 1: what is wrong, and so they go into an e 155 00:09:40,000 --> 00:09:42,600 Speaker 1: R knowing that they can't be denied care. The e 156 00:09:42,840 --> 00:09:46,160 Speaker 1: R it's a small rural hospital, e R is overloaded. 157 00:09:46,440 --> 00:09:50,160 Speaker 1: They have a pain issue, they get prescribed pain killers, 158 00:09:50,240 --> 00:09:53,400 Speaker 1: and then from there it's a downward spiral and then 159 00:09:53,559 --> 00:09:56,800 Speaker 1: the ease of which pain killers are being made available 160 00:09:57,480 --> 00:10:01,800 Speaker 1: kind of across the spectrum, whether it's through illegal dealing 161 00:10:02,440 --> 00:10:06,720 Speaker 1: over prescriptions like you name it, the problem just gets 162 00:10:06,720 --> 00:10:10,360 Speaker 1: perpetuated and perpetuated. So as it pertains to the family unit, 163 00:10:10,400 --> 00:10:13,840 Speaker 1: do we see you know, one families addicted, one families 164 00:10:13,840 --> 00:10:16,000 Speaker 1: in jail, or like one one family members in jail, 165 00:10:16,080 --> 00:10:17,920 Speaker 1: one family. I don't I don't know, I don't have 166 00:10:17,960 --> 00:10:20,160 Speaker 1: the statistics on that, but I do know that, like 167 00:10:21,320 --> 00:10:28,800 Speaker 1: does it affect the family writ large? Of course, of course, 168 00:10:28,840 --> 00:10:32,520 Speaker 1: because then you're going to see like that person as 169 00:10:32,520 --> 00:10:35,880 Speaker 1: they as they grow more addicted, unable to meet the 170 00:10:35,920 --> 00:10:39,160 Speaker 1: needs of their child, which then the child performs poorly 171 00:10:39,200 --> 00:10:42,440 Speaker 1: in school, which then there's behavior issues, which then like 172 00:10:42,559 --> 00:10:44,920 Speaker 1: it's right, it's the self perfort almost like the self 173 00:10:44,960 --> 00:10:49,640 Speaker 1: fulfilling prophecy, especially for young children being in homes that are, 174 00:10:50,480 --> 00:10:55,000 Speaker 1: you know, stricken with addiction for something that wasn't ever 175 00:10:55,040 --> 00:11:00,240 Speaker 1: anyone's fault. It's awful. It's awful. Yeah, the layers is 176 00:11:00,280 --> 00:11:02,680 Speaker 1: what makes me so interested, Like that what what we 177 00:11:02,720 --> 00:11:07,319 Speaker 1: call an injustice work interlocking systems of injustice where the 178 00:11:07,400 --> 00:11:11,880 Speaker 1: layers make sense. So unemployment in the woods, right, it's 179 00:11:11,920 --> 00:11:16,360 Speaker 1: something I find I also find interesting, right because inter 180 00:11:16,440 --> 00:11:19,000 Speaker 1: city issues. It's like, well, you know, if there's no 181 00:11:19,200 --> 00:11:23,720 Speaker 1: there's no jobs here because the you know, these gross unilizations, 182 00:11:23,800 --> 00:11:27,000 Speaker 1: but because this corporation figured out that like well, yeah, 183 00:11:27,040 --> 00:11:29,840 Speaker 1: there's not a there's not a useful workforce, so like 184 00:11:29,880 --> 00:11:31,480 Speaker 1: why would I stay you know, what I'm saying, and 185 00:11:32,040 --> 00:11:34,600 Speaker 1: or I can pay someone else cheaper, right, you know, 186 00:11:34,720 --> 00:11:37,240 Speaker 1: so just all of those and then even if the 187 00:11:37,280 --> 00:11:41,079 Speaker 1: workforce comes in, they probably got they probably all carrying strikes, 188 00:11:41,120 --> 00:11:44,080 Speaker 1: they all got you know, NIX on their on their record, 189 00:11:44,200 --> 00:11:45,840 Speaker 1: you know, meaning their cons you know what I'm saying. 190 00:11:45,840 --> 00:11:47,960 Speaker 1: So it's like, so if I have I've already committed 191 00:11:47,960 --> 00:11:51,280 Speaker 1: a felony, if I'm trying to be better, what do 192 00:11:51,360 --> 00:11:56,440 Speaker 1: you It's not like I could go can go get work? Yeah, 193 00:11:56,679 --> 00:11:59,880 Speaker 1: Because so there's the there's the criminal criminal justice, in 194 00:12:00,000 --> 00:12:02,880 Speaker 1: equality part of it, there's like a resources a part 195 00:12:02,880 --> 00:12:05,520 Speaker 1: of it, and then for us just the overall just 196 00:12:06,360 --> 00:12:09,880 Speaker 1: racial under its own practice us being brown people. But 197 00:12:09,920 --> 00:12:12,760 Speaker 1: I'm interested in what that looks like, you know, for 198 00:12:12,840 --> 00:12:15,800 Speaker 1: the rule worker, you know, the person who's like I 199 00:12:15,800 --> 00:12:17,640 Speaker 1: think it's also very interesting you talk about people who 200 00:12:17,679 --> 00:12:20,000 Speaker 1: have just knowed how to work with their hands, if 201 00:12:20,040 --> 00:12:24,240 Speaker 1: that's what they know, you know what that does psychologically 202 00:12:24,320 --> 00:12:28,840 Speaker 1: to again the psyche of of of the neighborhood. There 203 00:12:28,880 --> 00:12:30,920 Speaker 1: you can make maybe talk a little bit about that. Yeah, 204 00:12:30,960 --> 00:12:34,960 Speaker 1: absolutely So right down the road about forty minutes forty 205 00:12:35,000 --> 00:12:38,320 Speaker 1: miles from us, it's a town that used to have 206 00:12:38,400 --> 00:12:42,679 Speaker 1: a giant lumber mill, Okay, and so they I mean 207 00:12:42,679 --> 00:12:46,000 Speaker 1: obviously very manual labor. The whole town, like a huge 208 00:12:46,080 --> 00:12:49,679 Speaker 1: chunk of the town was employed by this lumber mill. Right. Well, 209 00:12:49,720 --> 00:12:53,520 Speaker 1: the lumber mill closed for a lot of different reasons. 210 00:12:53,720 --> 00:12:55,840 Speaker 1: A lot of it like it's actually cheaper to get 211 00:12:55,880 --> 00:12:58,000 Speaker 1: a lot of our lumber and wood from China, which 212 00:12:58,040 --> 00:13:01,840 Speaker 1: we can talk about that later, but there's exactly so 213 00:13:01,880 --> 00:13:04,400 Speaker 1: there's there is a lot there. There's just a lot 214 00:13:04,440 --> 00:13:09,000 Speaker 1: of factors, automation, you name it, their lack of need 215 00:13:09,080 --> 00:13:12,520 Speaker 1: for building supplies during this particular downturn. So the lumber 216 00:13:12,520 --> 00:13:16,600 Speaker 1: mill closed. And when it is located in a town, 217 00:13:17,040 --> 00:13:23,280 Speaker 1: a rural town with no other metro area in its vicinity, 218 00:13:23,600 --> 00:13:26,320 Speaker 1: all of a sudden you have a giant population of 219 00:13:26,400 --> 00:13:32,400 Speaker 1: this town that's found unemployed. And they are found unemployed, 220 00:13:32,679 --> 00:13:34,880 Speaker 1: but they have been employed by this lumber mill, which 221 00:13:34,960 --> 00:13:39,000 Speaker 1: has a very particular set of skills needed to work there. 222 00:13:39,040 --> 00:13:41,640 Speaker 1: And a lot of that is manual labor, right So 223 00:13:41,720 --> 00:13:43,640 Speaker 1: you talk about that like work with your hands. A 224 00:13:43,679 --> 00:13:46,680 Speaker 1: lot of it was just based on the economics of 225 00:13:46,720 --> 00:13:48,840 Speaker 1: the town for years and years and years, and now 226 00:13:49,679 --> 00:13:54,480 Speaker 1: it's um it's just not available. And so unemployment is 227 00:13:54,840 --> 00:14:00,160 Speaker 1: intricately tied to industries throughout the world that are beinging 228 00:14:00,840 --> 00:14:04,800 Speaker 1: um impacted by things like automation, by trade by you know, 229 00:14:04,880 --> 00:14:07,560 Speaker 1: lower prices that you can find elsewhere, and so it 230 00:14:07,760 --> 00:14:14,760 Speaker 1: is affecting rural America, and that unemployment aspect is brutally 231 00:14:14,840 --> 00:14:19,040 Speaker 1: hard for people, particularly in rural areas, because it's really 232 00:14:19,040 --> 00:14:21,520 Speaker 1: not much different than in the urban areas. Right because 233 00:14:21,560 --> 00:14:24,560 Speaker 1: economic mobility and the ability to find a job based 234 00:14:24,600 --> 00:14:28,200 Speaker 1: on you know, whatever those you know, points of impact are, 235 00:14:28,600 --> 00:14:33,240 Speaker 1: it's equally difficult. Even though they're they're they're different, it's 236 00:14:33,280 --> 00:14:37,000 Speaker 1: still near impossible to go find the job anywhere close 237 00:14:37,040 --> 00:14:39,160 Speaker 1: to town because there's nowhere to get a job where. Yeah, 238 00:14:39,160 --> 00:14:41,160 Speaker 1: where the just just like your question, where am I 239 00:14:41,160 --> 00:14:43,720 Speaker 1: going to do that? Totally in the same way that 240 00:14:43,760 --> 00:14:47,480 Speaker 1: I'm going Look, man, I am like you cut me open, 241 00:14:47,600 --> 00:14:52,160 Speaker 1: saltwater comes out like like I am Pacific Ocean, California, 242 00:14:52,240 --> 00:14:56,520 Speaker 1: saut like Los Angeles. But if you were to tell me, hey, 243 00:14:56,560 --> 00:14:59,400 Speaker 1: there's a job that could pay you this much, if 244 00:14:59,440 --> 00:15:03,360 Speaker 1: you'd be will to move to I don't know, Columbus, Ohio, 245 00:15:03,720 --> 00:15:06,040 Speaker 1: I'm like, there's not a job in the world that's 246 00:15:06,080 --> 00:15:08,640 Speaker 1: gonna make me leave the West, you know what I'm saying, 247 00:15:08,920 --> 00:15:11,080 Speaker 1: Because it's like this is what that is my family, 248 00:15:11,200 --> 00:15:12,880 Speaker 1: This is my unit. And what I what I also 249 00:15:13,000 --> 00:15:15,880 Speaker 1: know about, like these rural communities have that are also 250 00:15:15,960 --> 00:15:19,080 Speaker 1: very similar to the hood, is like our family ties 251 00:15:19,600 --> 00:15:21,800 Speaker 1: are so much more than just blood. You know what 252 00:15:21,800 --> 00:15:24,600 Speaker 1: I'm saying. It's like I lived across the street from 253 00:15:24,640 --> 00:15:28,640 Speaker 1: this kid since we were in preschool. Like you know 254 00:15:28,640 --> 00:15:30,720 Speaker 1: what I'm saying, Like that is my cousin. Like I 255 00:15:30,760 --> 00:15:32,240 Speaker 1: don't know what else to tell you. That's my cousin. 256 00:15:32,400 --> 00:15:35,000 Speaker 1: And I'm not gonna like what do you you learn 257 00:15:35,080 --> 00:15:38,000 Speaker 1: how to create this whole economy among itself in the 258 00:15:38,080 --> 00:15:41,120 Speaker 1: sense of like I need a transmission fixed, or you 259 00:15:41,160 --> 00:15:44,800 Speaker 1: know my oil leak? Is my car's leaking oil? Okay, 260 00:15:45,280 --> 00:15:47,320 Speaker 1: homeway down the street? Like here, let me bring you 261 00:15:47,360 --> 00:15:50,440 Speaker 1: a six pack of coronas. Can you work on this out? 262 00:15:50,680 --> 00:15:53,480 Speaker 1: You need babysitter? Okay, good, my sister's home, so like 263 00:15:53,560 --> 00:15:56,600 Speaker 1: my sister will watch your children. You fix this. Anybody 264 00:15:56,600 --> 00:15:58,120 Speaker 1: need a ride, I'm gonna go to the store. You 265 00:15:58,160 --> 00:16:00,400 Speaker 1: know what I'm saying. We like even on my street, 266 00:16:00,480 --> 00:16:02,640 Speaker 1: right now like we do when we do like you know, 267 00:16:02,720 --> 00:16:04,880 Speaker 1: trader jail runs or whatever the case may be, Like 268 00:16:04,920 --> 00:16:07,400 Speaker 1: we text each other, you need anything, anything, because it's 269 00:16:07,400 --> 00:16:09,840 Speaker 1: just like this is our family. So if I leave 270 00:16:10,200 --> 00:16:12,880 Speaker 1: because of some job, like I'm not just leaving to 271 00:16:12,960 --> 00:16:17,840 Speaker 1: get work, like I'm leaving an entire kinship unit, you know. 272 00:16:17,960 --> 00:16:19,800 Speaker 1: So it's not as simple as just being like yo, 273 00:16:19,920 --> 00:16:23,520 Speaker 1: I'm out, Like no, it just we won't have like 274 00:16:23,520 --> 00:16:25,320 Speaker 1: like I think a lot of times people forget like 275 00:16:25,400 --> 00:16:30,280 Speaker 1: the nuclear family kind of a function of economics. You 276 00:16:30,320 --> 00:16:33,200 Speaker 1: can pay for extended families, you pay for babysitters, you 277 00:16:33,240 --> 00:16:35,160 Speaker 1: pay for nannies, you pay for this. Let me pay 278 00:16:35,200 --> 00:16:38,240 Speaker 1: for that. My neighbor does it, you know, right? And 279 00:16:38,280 --> 00:16:41,240 Speaker 1: I think that there's so many people in our generation 280 00:16:41,320 --> 00:16:44,680 Speaker 1: and the generations behind us, have this mentality of like, oh, 281 00:16:44,760 --> 00:16:48,200 Speaker 1: well there's this job, I'll just pick up and move right. 282 00:16:48,520 --> 00:16:52,160 Speaker 1: But for there are so many people in different communities 283 00:16:52,240 --> 00:16:59,120 Speaker 1: where you are intimately tied to a place like who 284 00:16:59,200 --> 00:17:03,200 Speaker 1: you are, you're identity, your your your culture, everything that 285 00:17:03,240 --> 00:17:05,960 Speaker 1: you know, your fans, like all of it is in 286 00:17:06,000 --> 00:17:08,440 Speaker 1: a particular place, and it's like who am I if 287 00:17:08,480 --> 00:17:13,840 Speaker 1: I'm not here? Who am I that. I'm like, that's 288 00:17:13,880 --> 00:17:18,520 Speaker 1: exactly what we think, right if I'm not from here? Who? 289 00:17:45,440 --> 00:17:47,800 Speaker 1: And ultimately what you said about it being an issue 290 00:17:47,800 --> 00:17:50,960 Speaker 1: of economics, that's exactly right, because this idea of getting 291 00:17:51,640 --> 00:17:54,680 Speaker 1: the ability to pack up and move to another state. 292 00:17:54,760 --> 00:17:57,920 Speaker 1: Number One, can we talk about moving costs? Holy crap, 293 00:17:58,000 --> 00:18:01,480 Speaker 1: we just did it. It's so pensive to rent track, 294 00:18:01,760 --> 00:18:03,920 Speaker 1: get the boxes and do all the things and sell 295 00:18:03,960 --> 00:18:07,240 Speaker 1: the house and whatever. It's so expensive. Number when you 296 00:18:07,240 --> 00:18:11,000 Speaker 1: have moving costs. Number Two, if you have kids, like 297 00:18:11,200 --> 00:18:14,520 Speaker 1: your job that you're picking up and leaving for better 298 00:18:14,720 --> 00:18:17,359 Speaker 1: pay enough to pay for childcare because you're moving away 299 00:18:17,400 --> 00:18:20,359 Speaker 1: from grandma and grandpa or that anti or whatever that 300 00:18:20,520 --> 00:18:22,359 Speaker 1: is built in childcare that you don't have to pay for, 301 00:18:23,000 --> 00:18:24,399 Speaker 1: and all of a sudden you're looking at all of 302 00:18:24,400 --> 00:18:28,280 Speaker 1: these incurring costs and this job that is gonna pay 303 00:18:28,320 --> 00:18:31,359 Speaker 1: what maybe ten twelve thousand dollars more than what you 304 00:18:31,400 --> 00:18:34,200 Speaker 1: make right now, which is nominal, not even going to 305 00:18:34,400 --> 00:18:38,280 Speaker 1: scripe the surface of childcare coverage is like, it's just 306 00:18:38,320 --> 00:18:41,560 Speaker 1: not worth it. And so we have this um kind 307 00:18:41,560 --> 00:18:44,280 Speaker 1: of mentality in this generation and the generation behind us 308 00:18:44,320 --> 00:18:48,240 Speaker 1: going like with this, it's a mentality that it's bad. 309 00:18:48,359 --> 00:18:52,000 Speaker 1: It's just a fundamental lack of understanding of someone's tied 310 00:18:52,040 --> 00:18:55,400 Speaker 1: to a particular place and how important that is, how 311 00:18:55,440 --> 00:19:00,280 Speaker 1: actually beautiful that is, and are ties to our culture, 312 00:19:00,359 --> 00:19:06,240 Speaker 1: our ties to our location is really really great. For 313 00:19:06,359 --> 00:19:09,000 Speaker 1: lack of better farm like, it's just it's important. And 314 00:19:09,040 --> 00:19:10,959 Speaker 1: I think that we do a disservice to a lot 315 00:19:11,000 --> 00:19:13,960 Speaker 1: of people by kind of looking down on it and 316 00:19:15,119 --> 00:19:18,359 Speaker 1: not treating it as something of value. I don't know 317 00:19:19,680 --> 00:19:23,879 Speaker 1: so good. So I think that like these these systems, 318 00:19:23,920 --> 00:19:26,440 Speaker 1: this idea of like man, like I'm from here, I'm 319 00:19:26,480 --> 00:19:29,199 Speaker 1: born here, I'm gonna die here, Like I want to 320 00:19:29,240 --> 00:19:34,280 Speaker 1: make this work right at some point with all the issues, 321 00:19:34,280 --> 00:19:36,240 Speaker 1: Like at some point you're gonna ask yourself like, okay, 322 00:19:36,240 --> 00:19:38,600 Speaker 1: well now we need a villain, like well then why 323 00:19:38,760 --> 00:19:42,720 Speaker 1: is it? And I feel like um, which brings us 324 00:19:42,720 --> 00:19:45,160 Speaker 1: to the next part of this, like where we could 325 00:19:45,160 --> 00:19:50,480 Speaker 1: talk a little bit about the answer in tariffs and 326 00:19:50,640 --> 00:19:54,280 Speaker 1: um who who created all of our problems? Right, which 327 00:19:54,640 --> 00:19:59,360 Speaker 1: I think a lot of times feeds the racism that's cinophobia, 328 00:19:59,560 --> 00:20:01,159 Speaker 1: Like it needs a lot those things, because you got it. 329 00:20:01,280 --> 00:20:04,120 Speaker 1: If it's not our fault, right, if we didn't ask 330 00:20:04,160 --> 00:20:07,760 Speaker 1: for this situation. It came from somewhere, right. So one 331 00:20:07,800 --> 00:20:11,680 Speaker 1: thing that I've noticed about our Democratic candidates is like, 332 00:20:11,800 --> 00:20:16,680 Speaker 1: depending on who where you're standing to be on, to 333 00:20:16,880 --> 00:20:21,080 Speaker 1: be on somebody's team, you gotta hate those dudes. Like 334 00:20:21,119 --> 00:20:24,520 Speaker 1: there's a there's a those dudes, right, So like kind 335 00:20:24,560 --> 00:20:27,040 Speaker 1: of scratches the same itch I think that Donald Trump scratch, 336 00:20:27,080 --> 00:20:30,040 Speaker 1: which is like, yo, your problem is those people, and 337 00:20:30,119 --> 00:20:33,600 Speaker 1: I'm here to protect you from those people. Now, granted 338 00:20:33,640 --> 00:20:40,639 Speaker 1: he's making up shit I'm saying, like that's like, that's 339 00:20:41,400 --> 00:20:44,600 Speaker 1: what you're saying is verifiably not true, right, And he's 340 00:20:44,640 --> 00:20:47,920 Speaker 1: just making boss moves, getting his homies off, you know, buying, 341 00:20:48,640 --> 00:20:52,400 Speaker 1: buying the judges. You feel me like just super hood, right, 342 00:20:53,480 --> 00:20:57,280 Speaker 1: And part of me feels like I getting a slight 343 00:20:57,359 --> 00:21:02,359 Speaker 1: satisfaction in seeing, uh, the rest of America rit large 344 00:21:02,400 --> 00:21:06,879 Speaker 1: see what poor and brown communities have always known the 345 00:21:07,080 --> 00:21:09,800 Speaker 1: criminal justice to be. Like you just just like if 346 00:21:09,800 --> 00:21:13,680 Speaker 1: you've got enough money, you find what I'm saying, So 347 00:21:14,840 --> 00:21:18,760 Speaker 1: they always okay, yeah, but but like you gotta have 348 00:21:18,800 --> 00:21:21,199 Speaker 1: a like the problem is them. If you're you know, 349 00:21:21,240 --> 00:21:23,480 Speaker 1: if you're if you're a Bernie Bro, then like well, 350 00:21:23,520 --> 00:21:27,199 Speaker 1: the problems are wealthy. If you're on Elizabeth Warren, Okay, 351 00:21:27,200 --> 00:21:30,359 Speaker 1: well the problem is the corporation. You know what I'm saying, 352 00:21:30,400 --> 00:21:32,320 Speaker 1: Like that's the problem, Like take care of, take care of, 353 00:21:32,359 --> 00:21:33,920 Speaker 1: take down of this, take down to this. I read 354 00:21:34,000 --> 00:21:36,800 Speaker 1: this article in Time on Time magazine a few few 355 00:21:36,840 --> 00:21:41,120 Speaker 1: years back about the coal miners, saying it was this lady. 356 00:21:41,119 --> 00:21:42,960 Speaker 1: She was writing about her dad and she's her dad's 357 00:21:42,960 --> 00:21:45,880 Speaker 1: like just olg like coal miner, you know. And her 358 00:21:45,920 --> 00:21:48,440 Speaker 1: thing is like, look, dude, you're her daddy. Don't hate 359 00:21:48,440 --> 00:21:52,800 Speaker 1: this immigrant, Filipino immigrant that's like in this cave with me. 360 00:21:53,320 --> 00:21:57,240 Speaker 1: She's like he case Sedan, the guy sitting in the 361 00:21:57,359 --> 00:22:00,360 Speaker 1: office cutting our lunch per Diem, Like he's like, man, 362 00:22:00,400 --> 00:22:02,879 Speaker 1: I made this guy. He got a black lung, like 363 00:22:02,960 --> 00:22:04,920 Speaker 1: I got you know what I'm saying, like all I 364 00:22:05,000 --> 00:22:07,520 Speaker 1: hate this dude, Like I hate that dude. We're me 365 00:22:07,560 --> 00:22:10,399 Speaker 1: and him sharing a freaking cause, Junior Sandwich. You know 366 00:22:10,400 --> 00:22:13,119 Speaker 1: what I'm saying, Why you over there? But anyway, the 367 00:22:13,200 --> 00:22:16,720 Speaker 1: idea of like you gotta get a them, that's the problem. 368 00:22:16,880 --> 00:22:22,440 Speaker 1: So my question is for the woods, who is them? 369 00:22:23,240 --> 00:22:25,560 Speaker 1: Who's the problem. I mean, it depends on the issue. 370 00:22:25,680 --> 00:22:31,960 Speaker 1: I think Donald Trump in particular liked to make immigrants 371 00:22:32,000 --> 00:22:34,320 Speaker 1: coming to like that there was immigrants coming to take 372 00:22:34,359 --> 00:22:38,120 Speaker 1: your jobs, which if you've lived in any rural community 373 00:22:38,240 --> 00:22:40,639 Speaker 1: that that has been affected by economic downturn, by the 374 00:22:40,640 --> 00:22:43,480 Speaker 1: closing of factories or you know, lumber mills, like we 375 00:22:43,520 --> 00:22:49,760 Speaker 1: talked about, it had nothing to do with immigration. Zero 376 00:22:50,040 --> 00:22:54,000 Speaker 1: moving to Idaho. Zero point zero percent of it was 377 00:22:54,119 --> 00:22:57,760 Speaker 1: affected by immigration. But it's an easy bogey man, right, 378 00:22:57,800 --> 00:23:01,800 Speaker 1: It's an easy because it's them. It's they're coming over 379 00:23:01,880 --> 00:23:04,360 Speaker 1: the border to take your jobs. And it's like, well, 380 00:23:04,400 --> 00:23:08,920 Speaker 1: are they coming to central Idaho mountains to come take 381 00:23:09,320 --> 00:23:13,560 Speaker 1: our jobs? Like no, No, that's not something that's happening. 382 00:23:13,800 --> 00:23:17,639 Speaker 1: And so, and I don't mean to laugh at it, 383 00:23:17,640 --> 00:23:22,359 Speaker 1: because it genuinely has been this instilled fear in people 384 00:23:22,400 --> 00:23:27,439 Speaker 1: that we're having to really work out and deprogram people. 385 00:23:28,080 --> 00:23:32,920 Speaker 1: But when you are constantly on edge because you can't 386 00:23:32,960 --> 00:23:35,520 Speaker 1: make enst me, you can't feat your family, you don't 387 00:23:35,520 --> 00:23:38,879 Speaker 1: have healthcare, someone's addicted like you have all right, like 388 00:23:38,920 --> 00:23:43,520 Speaker 1: all the players, you are inherently going to be more 389 00:23:43,960 --> 00:23:47,640 Speaker 1: inclined to fear, and you're going to be more inclined 390 00:23:47,800 --> 00:23:50,199 Speaker 1: to the other, because, like you said, it gives you 391 00:23:50,240 --> 00:23:53,359 Speaker 1: a scapegoat. It gives you a reason for all of 392 00:23:53,400 --> 00:23:56,919 Speaker 1: the horrible, shitty things that have happened to you. And 393 00:23:57,520 --> 00:24:01,240 Speaker 1: so what who is the other? Who is the bad 394 00:24:01,280 --> 00:24:04,679 Speaker 1: guy in this scenario. A lot of people understand it 395 00:24:04,880 --> 00:24:07,119 Speaker 1: for what it is, is just a matter of economics 396 00:24:07,160 --> 00:24:11,360 Speaker 1: that's really awful. A lot of people are really frankly 397 00:24:11,440 --> 00:24:15,320 Speaker 1: kind of delusional and they're you know, like they believe 398 00:24:15,359 --> 00:24:17,200 Speaker 1: that Donald Trump is going to bring back the lumber 399 00:24:17,240 --> 00:24:20,840 Speaker 1: mil right, like he's going to bring back all these jobs. 400 00:24:20,840 --> 00:24:23,199 Speaker 1: He's going to bring back that factory. And it's like, 401 00:24:23,400 --> 00:24:26,280 Speaker 1: I don't know that that factory is not coming back, 402 00:24:26,480 --> 00:24:31,520 Speaker 1: Like it's gonna stay in China. It's gonna stay in 403 00:24:31,600 --> 00:24:34,359 Speaker 1: China with all their fancy computers. Like it's not coming 404 00:24:34,400 --> 00:24:37,399 Speaker 1: back to your tiny rural town. I wish it was 405 00:24:38,280 --> 00:24:41,239 Speaker 1: for your sake, but it's not going to And so 406 00:24:41,320 --> 00:24:44,679 Speaker 1: there's there's a bit of delusion, and you know a 407 00:24:44,680 --> 00:24:48,280 Speaker 1: lot of people do see it for what it is, 408 00:24:48,359 --> 00:24:52,280 Speaker 1: which is there are a lot of factors and systems 409 00:24:52,320 --> 00:24:54,479 Speaker 1: at play way above any of our pay grade. When 410 00:24:54,520 --> 00:24:57,679 Speaker 1: we talk about things like tariffs, and I mean not 411 00:24:57,680 --> 00:25:03,160 Speaker 1: not just tariffs, but like the global economic space and 412 00:25:03,359 --> 00:25:07,400 Speaker 1: how the United States and our industries fit into that space, 413 00:25:08,560 --> 00:25:14,399 Speaker 1: it naturally affects towns like ours that we're providing those goods, 414 00:25:14,440 --> 00:25:20,520 Speaker 1: were providing that machinery, we're providing those factories that it's 415 00:25:20,600 --> 00:25:24,080 Speaker 1: just a lot cheaper to do it elsewhere, and it's 416 00:25:24,200 --> 00:25:26,960 Speaker 1: terrible and it sucks, but it's the reality of the 417 00:25:26,960 --> 00:25:29,480 Speaker 1: world that we live in. And so some people understand that. 418 00:25:29,600 --> 00:25:32,159 Speaker 1: Some people are looking for a scapegoat, and the easy 419 00:25:32,200 --> 00:25:34,760 Speaker 1: one is, well, the immigrants came and took our jobs, 420 00:25:34,960 --> 00:25:38,600 Speaker 1: which makes no sense. And then you have that delusion 421 00:25:38,680 --> 00:25:42,159 Speaker 1: piece of Donald Trump said he's going to come and 422 00:25:42,280 --> 00:25:45,199 Speaker 1: fix this, He's going to bring back these jobs. And 423 00:25:45,240 --> 00:25:48,199 Speaker 1: so then not only do you have a scapegoat, you 424 00:25:48,240 --> 00:25:52,520 Speaker 1: have a savior um and it's a savior that is 425 00:25:52,560 --> 00:25:55,119 Speaker 1: built on really crappy and false promises, as we have 426 00:25:55,359 --> 00:26:00,200 Speaker 1: very clearly communicated, and so you have all these is 427 00:26:00,280 --> 00:26:02,719 Speaker 1: kind of combining at the same time, and it just 428 00:26:02,840 --> 00:26:06,919 Speaker 1: creates this vacuums like hole in a vacuum where Donald 429 00:26:06,920 --> 00:26:10,240 Speaker 1: Trump fits really perfectly into that, and his economics and 430 00:26:10,560 --> 00:26:15,159 Speaker 1: his answers to things fit the puzzle pieces that that 431 00:26:15,240 --> 00:26:19,760 Speaker 1: these people have in their heads and it's heartbreaking. It's heartbreaking, 432 00:26:19,800 --> 00:26:25,320 Speaker 1: which is why so many of these towns are Trump country, 433 00:26:25,480 --> 00:26:29,399 Speaker 1: and a lot of it is especially with that immigrant piece, 434 00:26:29,600 --> 00:26:33,680 Speaker 1: I mean deeply ingrained racism. You can't say that it's 435 00:26:33,720 --> 00:26:38,720 Speaker 1: not like it is economic anxiety that is fueled by 436 00:26:38,800 --> 00:26:41,679 Speaker 1: racism like they are. They are both it is. It 437 00:26:41,760 --> 00:26:45,399 Speaker 1: is a band not in either or um. If I 438 00:26:45,400 --> 00:26:48,080 Speaker 1: have to read one more think piece about economic anxiety 439 00:26:48,119 --> 00:26:50,600 Speaker 1: and rural America where it doesn't talk about the realities 440 00:26:50,640 --> 00:26:53,320 Speaker 1: of racism, going to lose my damn mind because it's 441 00:26:53,359 --> 00:26:58,240 Speaker 1: a bothan and so yeah, like it can be two 442 00:26:58,240 --> 00:26:59,879 Speaker 1: things at the same time, two things can be true. 443 00:27:00,400 --> 00:27:04,560 Speaker 1: So I think, yeah, that's that's kind of the landscape 444 00:27:04,920 --> 00:27:10,280 Speaker 1: of economic realities and making someone the bad guy and 445 00:27:10,400 --> 00:27:15,240 Speaker 1: yet looking so desperately for someone to fix it because 446 00:27:15,240 --> 00:27:18,040 Speaker 1: it's a complicated with you, right, Like the lumbermill closes 447 00:27:18,040 --> 00:27:20,800 Speaker 1: in town, there's no other jobs that fit your skill set, 448 00:27:21,440 --> 00:27:23,200 Speaker 1: You no longer have the ability to pay for health 449 00:27:23,200 --> 00:27:26,400 Speaker 1: care for your family. You need someone to fix it 450 00:27:26,920 --> 00:27:29,440 Speaker 1: because there's no easy answer. And this guy comes along 451 00:27:30,000 --> 00:27:32,399 Speaker 1: and says he's got an answer to fix it. What 452 00:27:32,440 --> 00:27:35,119 Speaker 1: are you gonna do ye, I'm gonna follow that, dude, 453 00:27:35,240 --> 00:27:37,359 Speaker 1: or I'm gonna sell or I'm gonna sell purpose it 454 00:27:37,600 --> 00:27:41,320 Speaker 1: exactly right. Yeah, that's exactly right. And so that's kind 455 00:27:41,359 --> 00:27:43,760 Speaker 1: of the realities on the ground. And it's it's hard. 456 00:27:43,840 --> 00:27:47,520 Speaker 1: Like I said, it's it's it's heartbreaking. It's in raging, 457 00:27:48,000 --> 00:27:50,520 Speaker 1: don't get me wrong. As someone who looks at Donald 458 00:27:50,560 --> 00:27:53,560 Speaker 1: Trump for who he is and all the lies that 459 00:27:53,600 --> 00:27:56,119 Speaker 1: he says and realizes that he's completely full of crap, 460 00:27:56,600 --> 00:27:58,560 Speaker 1: Like you can see it, but there are a lot 461 00:27:58,600 --> 00:28:02,280 Speaker 1: of people who, because of their situations, are literally not 462 00:28:02,359 --> 00:28:03,879 Speaker 1: able to see it and able to see it for 463 00:28:03,920 --> 00:28:07,040 Speaker 1: what it is. And you have to go, man, that's enraging, 464 00:28:07,119 --> 00:28:10,359 Speaker 1: but also very sad. So you you mentioned, which is 465 00:28:10,400 --> 00:28:14,239 Speaker 1: one of his quicker solutions, is a tariff. Right, so 466 00:28:14,280 --> 00:28:15,879 Speaker 1: you got the wall. Well, it's like, okay, if we 467 00:28:15,920 --> 00:28:18,440 Speaker 1: just build this medieval barrier, then like you can't get 468 00:28:18,480 --> 00:28:21,000 Speaker 1: past that, So we're good, you know, or I'm gonna 469 00:28:21,000 --> 00:28:23,160 Speaker 1: make sure you know, you're gonna make us some money. 470 00:28:23,200 --> 00:28:24,600 Speaker 1: If you can make us some money, you're gonna come in. 471 00:28:24,640 --> 00:28:26,200 Speaker 1: But one of the one of the things you mentioned, 472 00:28:26,280 --> 00:28:28,840 Speaker 1: China May you mentioned a tariff. So like, let's step 473 00:28:28,880 --> 00:28:32,640 Speaker 1: back and like give vocabulary lesson here. So in your 474 00:28:32,920 --> 00:28:38,280 Speaker 1: your your political science brain, like explain of tariff. Okay, 475 00:28:38,360 --> 00:28:43,600 Speaker 1: So a tariff is simply a tax, that's all it is. Like, 476 00:28:43,640 --> 00:28:46,719 Speaker 1: that's a that's a great way to describe it. So 477 00:28:46,800 --> 00:28:49,400 Speaker 1: we all pay our taxes, right, we pay taxes hopefully 478 00:28:49,960 --> 00:28:56,600 Speaker 1: maybe yeah, sure we Right, we pay our taxes for 479 00:28:56,840 --> 00:28:59,800 Speaker 1: things like schools and you know, roads and I mean 480 00:28:59,800 --> 00:29:02,640 Speaker 1: all the things. Right, So we pay our taxes. That 481 00:29:02,760 --> 00:29:06,160 Speaker 1: is a domestic tax that we pay for those services. Um, 482 00:29:06,320 --> 00:29:09,560 Speaker 1: A tariff is simply a tax that the federal government 483 00:29:10,440 --> 00:29:16,080 Speaker 1: puts on imported products from other countries. So we have 484 00:29:16,400 --> 00:29:21,160 Speaker 1: standard import taxes on pretty much every good and service 485 00:29:21,240 --> 00:29:25,280 Speaker 1: that comes in from another country, and other countries have 486 00:29:25,320 --> 00:29:27,160 Speaker 1: it on our stuff too. This isn't just a one 487 00:29:27,160 --> 00:29:31,600 Speaker 1: way street for America. This is global. Everyone has their tariffs. 488 00:29:31,640 --> 00:29:36,480 Speaker 1: What Donald Trump has done is ratcheted up those tariffs 489 00:29:36,480 --> 00:29:39,600 Speaker 1: because for whatever reason, he thinks that things like aluminum 490 00:29:39,600 --> 00:29:44,280 Speaker 1: and steel need to be taxed super super high because 491 00:29:44,280 --> 00:29:47,400 Speaker 1: we're getting a really you know, unfair deal. And so 492 00:29:47,480 --> 00:29:50,640 Speaker 1: what he does is he ratchetscept tariffs, so that tax 493 00:29:50,880 --> 00:29:54,840 Speaker 1: makes them really really really expensive. And so what a 494 00:29:54,840 --> 00:29:58,719 Speaker 1: lot of people will look at it face value is say, oh, yeah, 495 00:29:58,840 --> 00:30:02,720 Speaker 1: the Chinese, they stole our jobs, they stole our factories. 496 00:30:02,840 --> 00:30:05,920 Speaker 1: Let's make them pay. Let's pay, Let's make them Let's 497 00:30:05,920 --> 00:30:09,680 Speaker 1: slap that tariff on him, start a trade war. They're 498 00:30:09,680 --> 00:30:12,920 Speaker 1: the bad guys, right, Who, in the end do you 499 00:30:13,000 --> 00:30:17,280 Speaker 1: think pays for that consumer? It's the consumer that price 500 00:30:17,400 --> 00:30:20,480 Speaker 1: has to As Republicans like to remind us all the time, 501 00:30:20,520 --> 00:30:23,800 Speaker 1: trickle down, right, trickle down from somewhere, which is why 502 00:30:23,960 --> 00:30:27,880 Speaker 1: right now across the country, aluminum and steel prices are 503 00:30:27,960 --> 00:30:35,240 Speaker 1: through the roof. Therefore, house building costs are skyrocketing. Right, 504 00:30:35,520 --> 00:30:38,800 Speaker 1: not just house building, but like any sort of industry building, 505 00:30:38,840 --> 00:30:42,080 Speaker 1: building new factories, building new buildings, and inner cities, building 506 00:30:42,120 --> 00:30:45,080 Speaker 1: new I mean, even affordable housing. We can't pay to 507 00:30:45,160 --> 00:30:47,640 Speaker 1: build more affordable housing in urban areas because the cost 508 00:30:47,680 --> 00:30:50,920 Speaker 1: of building is so stick and expensive, because why tear 509 00:30:51,040 --> 00:30:56,120 Speaker 1: us so good? So if you want to so so translation, 510 00:30:56,280 --> 00:30:58,240 Speaker 1: if you want to sell them my block, it's got 511 00:30:58,240 --> 00:31:01,040 Speaker 1: to cost you. Right, I'm gonna selling your block. I 512 00:31:01,040 --> 00:31:03,000 Speaker 1: know you're gonna charge me. But if you're going to 513 00:31:03,160 --> 00:31:06,920 Speaker 1: raise the price for me to sell here, I'm just 514 00:31:06,960 --> 00:31:10,040 Speaker 1: gonna raise the price of the product. Right. If I 515 00:31:10,200 --> 00:31:13,280 Speaker 1: raise the price of the product, then that means the 516 00:31:13,360 --> 00:31:15,719 Speaker 1: consumer is going to cover it. But if the consumer 517 00:31:16,200 --> 00:31:20,560 Speaker 1: doesn't have no jobs, this don't help nobody. So if 518 00:31:20,600 --> 00:31:23,600 Speaker 1: the yeah, so, if the problem is you're saying, I'm 519 00:31:23,600 --> 00:31:28,120 Speaker 1: gonna raise the costs on aluminum, which means, now, if 520 00:31:28,120 --> 00:31:31,640 Speaker 1: I'm a wage worker, a construction worker, right this company 521 00:31:31,680 --> 00:31:34,760 Speaker 1: that wants to build houses, that means that if it 522 00:31:34,800 --> 00:31:37,760 Speaker 1: costs me more for material, that means I gotta pay 523 00:31:37,800 --> 00:31:41,760 Speaker 1: you less, which means I'm probably not gonna hire you. 524 00:31:41,840 --> 00:31:43,920 Speaker 1: So you right back in the same situation in the 525 00:31:43,960 --> 00:31:47,200 Speaker 1: first place, The tariff don't help you, fan, It doesn't 526 00:31:47,200 --> 00:31:52,240 Speaker 1: help anybody. And actually it not only doesn't help the consumer, 527 00:31:53,040 --> 00:31:56,040 Speaker 1: it doesn't help the business trying to sell the product, 528 00:31:56,040 --> 00:31:58,920 Speaker 1: because at some point there's going to be a price cap, right, Like, 529 00:31:58,960 --> 00:32:01,480 Speaker 1: there's gonna be me so high that a consumer will 530 00:32:01,520 --> 00:32:04,480 Speaker 1: pay for a particular product. And if they will not 531 00:32:04,640 --> 00:32:08,440 Speaker 1: pay above that market value, as we like to say, right, 532 00:32:08,960 --> 00:32:12,640 Speaker 1: then the business that is providing that product is going 533 00:32:12,680 --> 00:32:15,240 Speaker 1: to have to drop their back end prices, which means 534 00:32:15,280 --> 00:32:19,160 Speaker 1: they make less money, which means less less net profits, 535 00:32:19,200 --> 00:32:23,120 Speaker 1: which means businesses lose lesson they close, they lose more 536 00:32:23,160 --> 00:32:26,000 Speaker 1: money they may clothes. Right, So there's this like it's 537 00:32:26,040 --> 00:32:32,800 Speaker 1: this multilayered process between consumer provider and then the actual material. 538 00:32:33,160 --> 00:32:36,520 Speaker 1: But ultimately it screws all of us when Donald Trump 539 00:32:36,640 --> 00:32:42,160 Speaker 1: slaps giant terrorists and then eventually China goes, which which 540 00:32:42,200 --> 00:32:45,480 Speaker 1: any other provider would say, Okay, well are you telling 541 00:32:45,520 --> 00:32:48,360 Speaker 1: me yeah? If you if you yeah, either a tip 542 00:32:48,400 --> 00:32:50,000 Speaker 1: for tat. You know what I'm saying. It's like what 543 00:32:50,040 --> 00:32:52,040 Speaker 1: you want to slay here too? First of all, one 544 00:32:52,040 --> 00:32:54,560 Speaker 1: in four humans on the planet is Chinese. There's just 545 00:32:54,680 --> 00:32:58,120 Speaker 1: more humans here, so right, So there's that. And then 546 00:32:58,200 --> 00:33:00,920 Speaker 1: number two China is like, okay, so you telling me 547 00:33:01,000 --> 00:33:03,000 Speaker 1: that this block that's too high of a price. I 548 00:33:03,040 --> 00:33:06,720 Speaker 1: guess I'll just go across the street. That's too high. 549 00:33:06,720 --> 00:33:08,800 Speaker 1: So I'll just sell this product that you get that 550 00:33:08,880 --> 00:33:11,320 Speaker 1: all the young people love. I'm just gonna go ahead 551 00:33:11,360 --> 00:33:13,000 Speaker 1: and take that down to Canada. I'll just selled it 552 00:33:13,040 --> 00:33:15,760 Speaker 1: in Canada. Ain't charging me that much, you feel me? Right? 553 00:33:16,040 --> 00:33:19,400 Speaker 1: Everybody loses yep, exactly exactly right, and like they and 554 00:33:19,440 --> 00:33:23,000 Speaker 1: they have retaliated right, and they totally retaliated. Yeah, and 555 00:33:23,040 --> 00:33:27,280 Speaker 1: there have been countries in Europe where we have Trump, 556 00:33:27,400 --> 00:33:31,080 Speaker 1: I can't say we Trump has slapt on terroriffs and 557 00:33:31,120 --> 00:33:35,000 Speaker 1: then they're like, cool, how about a really fat tariff 558 00:33:35,040 --> 00:33:37,480 Speaker 1: on like Tennessee whiskey. How do you think Mitch McConnell 559 00:33:37,480 --> 00:33:40,560 Speaker 1: felt about that for Kentucky burban I guess it would 560 00:33:40,560 --> 00:33:44,280 Speaker 1: have been so like, yeah, I mean there's there's there's 561 00:33:44,400 --> 00:33:47,960 Speaker 1: a also very quickly an element of vengeance that comes 562 00:33:48,000 --> 00:33:51,920 Speaker 1: into it, which creates a very volatile global market. So 563 00:33:52,280 --> 00:33:56,640 Speaker 1: ultimately slapping these sort of terroriffs, especially on companies like 564 00:33:56,800 --> 00:34:02,880 Speaker 1: China who are massive economic players in the global economy, um, 565 00:34:02,920 --> 00:34:06,400 Speaker 1: it's such a bad idea. And I mean economists across 566 00:34:06,440 --> 00:34:10,120 Speaker 1: the board, not just liberal ones, conservative ones are like 567 00:34:10,760 --> 00:34:13,920 Speaker 1: I don't think this is a good idea. Stop stop stop, 568 00:34:14,000 --> 00:34:15,600 Speaker 1: Like everyone's like, this is going to do what you 569 00:34:15,640 --> 00:34:17,600 Speaker 1: think is going to do exactly. Everyone's like this is 570 00:34:17,600 --> 00:34:21,719 Speaker 1: a bad idea. Economists the globe over going like this 571 00:34:21,800 --> 00:34:24,080 Speaker 1: is not a smart move. So there's that too, not 572 00:34:24,120 --> 00:34:28,280 Speaker 1: a good move. And it's affected the hood and affected 573 00:34:28,280 --> 00:34:32,359 Speaker 1: the woods. It has niche. That's about our time. I'll 574 00:34:32,360 --> 00:34:34,799 Speaker 1: hold you too. Much longer. But thank you so much. 575 00:34:34,840 --> 00:34:37,239 Speaker 1: Oh my gosh, my pleasure. Thanks for having me. You 576 00:34:37,360 --> 00:34:40,600 Speaker 1: just took us down such a dope route. I love 577 00:34:40,680 --> 00:34:43,799 Speaker 1: the wisdom and the poise and just so rad. Do 578 00:34:43,880 --> 00:34:47,640 Speaker 1: you have any thing you need to plug? Where can 579 00:34:47,680 --> 00:34:51,680 Speaker 1: people find you on the inner webs? Drop it all along? 580 00:34:51,920 --> 00:34:55,120 Speaker 1: All right? Well, you can find me on Instagram if 581 00:34:55,120 --> 00:35:01,760 Speaker 1: you want to see my life in Narnia, Yes, the woods, 582 00:35:02,280 --> 00:35:05,120 Speaker 1: you can follow me. It's at Nishi se and that's 583 00:35:05,120 --> 00:35:07,160 Speaker 1: really where I'm at right now these days. Props. It's 584 00:35:07,239 --> 00:35:10,840 Speaker 1: just on Instagram, trying to like scanal back on that 585 00:35:10,880 --> 00:35:14,960 Speaker 1: social media taking over by smart You went to the 586 00:35:15,000 --> 00:35:17,920 Speaker 1: woods and your whole life slowed down. You was like, look, 587 00:35:18,080 --> 00:35:21,280 Speaker 1: I don't it's nice out here. These pine trees smell amazing. 588 00:35:21,360 --> 00:35:26,040 Speaker 1: It's a little nice. I like to stop, and you know, 589 00:35:26,239 --> 00:35:29,600 Speaker 1: I don't need everyone's anger in my eyes all the time. 590 00:35:30,719 --> 00:35:36,239 Speaker 1: So it's been good. But yeah, there it is, like 591 00:35:36,280 --> 00:35:39,840 Speaker 1: we always like to end every episode. Politics is just 592 00:35:39,960 --> 00:35:45,000 Speaker 1: gang banging in nice suits. Thank you for joining us, yo, yo, 593 00:35:45,239 --> 00:35:48,560 Speaker 1: Thank you again, Niche for coming through. Hopefully you saw 594 00:35:48,600 --> 00:35:51,439 Speaker 1: yourself in a mirror that you never thought you'd see. 595 00:35:53,200 --> 00:35:57,440 Speaker 1: This episode it's recorded by myself, It's mixed and mastered 596 00:35:57,560 --> 00:36:00,480 Speaker 1: and scored by my man Matt Osawowski. He still don't 597 00:36:00,480 --> 00:36:04,719 Speaker 1: know how to say his name. Um and special thanks 598 00:36:04,719 --> 00:36:08,239 Speaker 1: to our Patreon who's made this thing possible. You go 599 00:36:08,360 --> 00:36:10,960 Speaker 1: to Red couch pot dot com to get your hands 600 00:36:11,400 --> 00:36:15,160 Speaker 1: on some episodes and bonuses and things you don't even 601 00:36:15,239 --> 00:36:21,480 Speaker 1: know about. And our theme song was made by the 602 00:36:21,560 --> 00:36:24,480 Speaker 1: one and only DJ Shaan p y'all will see y'all 603 00:36:24,480 --> 00:36:35,640 Speaker 1: next week. Boostin's so little like college, how