1 00:00:00,160 --> 00:00:03,120 Speaker 1: Welcome to Worst Year Ever, a production of I Heart 2 00:00:03,240 --> 00:00:22,760 Speaker 1: Radio Together Everything, So don't don't hello, and welcome back 3 00:00:22,880 --> 00:00:27,720 Speaker 1: to the Worst Year Ever. It truly does suck. I'm 4 00:00:27,760 --> 00:00:32,160 Speaker 1: Katie Stole It, does you know? I'm Robert Evans Katie. Yeah? 5 00:00:32,600 --> 00:00:36,760 Speaker 1: Who else is here? Who else is usus? Cody? There 6 00:00:36,880 --> 00:00:44,800 Speaker 1: is that Hello? It's beautiful. It's beautiful. So, guys, I 7 00:00:44,840 --> 00:00:47,000 Speaker 1: came across something on the Internet this morning that made 8 00:00:47,040 --> 00:00:50,599 Speaker 1: me angry. Um. Really, it is political as much as 9 00:00:50,640 --> 00:00:52,360 Speaker 1: it is just a thing I saw that made me 10 00:00:52,400 --> 00:00:54,040 Speaker 1: angry on the internet. Do you want to talk about 11 00:00:54,040 --> 00:00:56,800 Speaker 1: a thing that made me angry? Yes, we talked about 12 00:00:56,800 --> 00:01:00,200 Speaker 1: the subject of this episode. It's great. So it is 13 00:01:00,520 --> 00:01:03,800 Speaker 1: someone on Twitter sharing an Instagram post, which is something 14 00:01:03,840 --> 00:01:06,520 Speaker 1: people do when they've come across something on Instagram that 15 00:01:06,560 --> 00:01:08,360 Speaker 1: made them angry, and they want to make other people 16 00:01:08,400 --> 00:01:10,360 Speaker 1: angry because that is one of the healthy things we 17 00:01:10,400 --> 00:01:13,240 Speaker 1: do in our society. And I'm feeding into that loop, 18 00:01:13,880 --> 00:01:16,959 Speaker 1: um by talking about it here now, by talking about 19 00:01:17,000 --> 00:01:20,360 Speaker 1: it here and now because things are good in the world. Um. 20 00:01:20,400 --> 00:01:24,960 Speaker 1: So there's this this lady who was posting on uh 21 00:01:25,160 --> 00:01:28,760 Speaker 1: fucking Instagram about jobs for your kids or ways your 22 00:01:28,800 --> 00:01:32,200 Speaker 1: kids can make money by hustling during the summer, and 23 00:01:32,280 --> 00:01:34,800 Speaker 1: her idea, it was like a picture of her like 24 00:01:34,840 --> 00:01:37,479 Speaker 1: a kiddie pool with her like like eight year old daughter, 25 00:01:37,520 --> 00:01:40,760 Speaker 1: and it was like, idea, charged ten kids forty dollars 26 00:01:40,760 --> 00:01:43,279 Speaker 1: a week to spend two hours a day at your house. 27 00:01:43,440 --> 00:01:45,640 Speaker 1: You know, that's four dollars a week for your kid. 28 00:01:46,040 --> 00:01:50,200 Speaker 1: And she repeatedly used the hashtag kid preneur, which is 29 00:01:50,240 --> 00:01:52,640 Speaker 1: her attempt to make like kid entrepreneur. But like, does 30 00:01:52,640 --> 00:01:54,960 Speaker 1: it wrong, Like that's not the way you would do that, 31 00:01:55,440 --> 00:01:58,400 Speaker 1: like kid entrepreneur even like child, I don't know, you 32 00:01:58,440 --> 00:02:03,040 Speaker 1: wouldn't do it that way. Kid preneur is just nonsense. Um. 33 00:02:03,080 --> 00:02:09,000 Speaker 1: It just makes me want to commit a series of crimes. Um. Yeah, 34 00:02:09,520 --> 00:02:11,880 Speaker 1: so that made me very angry, and I want to 35 00:02:11,919 --> 00:02:14,640 Speaker 1: know that you guys are angry. I was made angry 36 00:02:14,720 --> 00:02:21,359 Speaker 1: by someone. But so your specific problem is with the term, 37 00:02:21,880 --> 00:02:25,320 Speaker 1: the phrase my it's all of it. Actually, it's the 38 00:02:25,360 --> 00:02:28,760 Speaker 1: idea that like children should always be seeking a hustle. Yeah, 39 00:02:30,520 --> 00:02:32,840 Speaker 1: to hang out two hours a day for a week. Yeah, 40 00:02:32,880 --> 00:02:34,560 Speaker 1: she wants her kid to do this. She wants your 41 00:02:34,600 --> 00:02:37,240 Speaker 1: kid to be to be trying to find a way 42 00:02:37,240 --> 00:02:39,280 Speaker 1: to make money by getting kids to pay to hang 43 00:02:39,320 --> 00:02:43,520 Speaker 1: out during the summer, because kids should be commodifying everything 44 00:02:43,560 --> 00:02:51,960 Speaker 1: from an early agent and children a territory work less 45 00:02:51,960 --> 00:02:55,680 Speaker 1: than ten. The kids aren't paying for the kiddie pool, 46 00:02:55,800 --> 00:03:00,720 Speaker 1: the parents are. Let's be real, right, And so you 47 00:03:00,760 --> 00:03:06,520 Speaker 1: want the kid to run this insurance night liability night racket. 48 00:03:07,000 --> 00:03:10,320 Speaker 1: I think it's it's fair to call it a bracket. Yeah, yeah, 49 00:03:10,320 --> 00:03:14,560 Speaker 1: an illegal daycare to run an illegal daycare business. Yeah 50 00:03:14,639 --> 00:03:16,600 Speaker 1: you need. You can go buy your own katie pool 51 00:03:16,639 --> 00:03:21,760 Speaker 1: for twenty bucks. That's my I don't think kids should 52 00:03:21,760 --> 00:03:25,520 Speaker 1: be encouraged to be entrepreneurs. But also, yes, we're overlooking. 53 00:03:25,520 --> 00:03:29,840 Speaker 1: They shouldn't be talking about money until they the young 54 00:03:29,880 --> 00:03:34,600 Speaker 1: indoctrination into the the club of capitalism. Yeah, I mean 55 00:03:34,600 --> 00:03:37,520 Speaker 1: it's because one of those things like obviously, especially if 56 00:03:37,520 --> 00:03:39,520 Speaker 1: you're poor, you can't stop your kids from knowing about 57 00:03:39,520 --> 00:03:41,440 Speaker 1: and caring about money. Most of my early memories are 58 00:03:41,480 --> 00:03:44,560 Speaker 1: of like extreme economic anxiety. Um, but the idea that 59 00:03:44,600 --> 00:03:47,760 Speaker 1: you would be teaching your kid to modify aspects of 60 00:03:47,840 --> 00:03:51,160 Speaker 1: like to commodify friendship, Like it's one thing to be 61 00:03:51,200 --> 00:03:53,640 Speaker 1: like as a kid, you're gonna have to like, hey, 62 00:03:53,640 --> 00:03:55,120 Speaker 1: if you want these if you want to get like 63 00:03:55,160 --> 00:03:58,120 Speaker 1: toys and ship um, we're fucking broke. Um, so maybe 64 00:03:58,120 --> 00:03:59,480 Speaker 1: you could find like that's why I had to like 65 00:03:59,520 --> 00:04:04,160 Speaker 1: molan and stuff in order to have like some spending money. Whatever. 66 00:04:04,240 --> 00:04:09,000 Speaker 1: That's just life, you know. Okay, Well let's be lead stands. 67 00:04:09,000 --> 00:04:11,840 Speaker 1: Aren't bringing in enough money that's not going to bring 68 00:04:11,880 --> 00:04:13,920 Speaker 1: in the butt like the idea of like the that 69 00:04:13,960 --> 00:04:17,279 Speaker 1: you do as a child in your in a child's life, 70 00:04:17,320 --> 00:04:19,280 Speaker 1: and like, oh you know what you should do make 71 00:04:19,360 --> 00:04:21,159 Speaker 1: some money out of that, Like, well, no, just be 72 00:04:21,240 --> 00:04:25,400 Speaker 1: a kid. Money on the table. If you're not charging 73 00:04:25,440 --> 00:04:28,599 Speaker 1: your friends to be your friends, that's what I find unsettling, 74 00:04:28,680 --> 00:04:31,760 Speaker 1: Like especially since this is clearly if you're if you're 75 00:04:31,839 --> 00:04:35,560 Speaker 1: using the hashtag kid preneurre um, your kids don't have 76 00:04:35,640 --> 00:04:38,720 Speaker 1: economic anxiety, I will be I am certain about that. 77 00:04:38,920 --> 00:04:43,440 Speaker 1: So you're you're you're just making them shitty people actually um, 78 00:04:43,560 --> 00:04:46,000 Speaker 1: or at least attempting to obviously like this kid's young, 79 00:04:46,080 --> 00:04:47,320 Speaker 1: my hope I have the best of hope for them. 80 00:04:47,320 --> 00:04:49,200 Speaker 1: So anyway, that was the thing that made me angry. 81 00:04:49,560 --> 00:04:52,120 Speaker 1: There was also a thing that made me blissful this week. 82 00:04:52,360 --> 00:04:54,160 Speaker 1: And then I want to share that too to try 83 00:04:54,200 --> 00:04:56,440 Speaker 1: to make things better. On the website, which I had 84 00:04:56,480 --> 00:04:59,720 Speaker 1: not heard of before, trashburg dot com, there is an 85 00:05:00,000 --> 00:05:04,680 Speaker 1: credible article titled Partisanship is Tearing Wicky Feet Apart, and 86 00:05:04,760 --> 00:05:07,719 Speaker 1: it's an analysis of the debates and Wiki feet about 87 00:05:07,760 --> 00:05:11,480 Speaker 1: whether or not like Hillary Clinton and members of the 88 00:05:11,480 --> 00:05:14,679 Speaker 1: Trump administration have sexy feet and like the principled stand 89 00:05:14,720 --> 00:05:16,720 Speaker 1: a lot of Wiki feet feet people saying like, I'm 90 00:05:16,720 --> 00:05:20,600 Speaker 1: a hate tomy Lauren, but this isn't about her politics. 91 00:05:20,640 --> 00:05:22,760 Speaker 1: This is about rating feet, how much I want to 92 00:05:22,800 --> 00:05:25,400 Speaker 1: ejaculate while looking at her feet, and I'm going to 93 00:05:25,440 --> 00:05:28,640 Speaker 1: be like, I have I have integrity. And so there's 94 00:05:28,680 --> 00:05:31,920 Speaker 1: like these conservatives being like, look, I don't like Hillary Clinton, 95 00:05:32,000 --> 00:05:34,760 Speaker 1: but I'm going to honestly rate her feet because that's 96 00:05:34,760 --> 00:05:37,560 Speaker 1: what this side is about. I can't imagine she's very 97 00:05:37,640 --> 00:05:42,520 Speaker 1: funny I I have. I have no interest in discussing 98 00:05:42,560 --> 00:05:47,119 Speaker 1: that talking about this community. Look, that's for the people 99 00:05:47,160 --> 00:05:49,400 Speaker 1: at wiki feet to decide, and I'm glad that they 100 00:05:49,440 --> 00:05:52,799 Speaker 1: can put partisanship by the way I'm certain you do. Kids. 101 00:05:54,360 --> 00:05:58,719 Speaker 1: My dad was very disturbed when he realized he probably 102 00:05:58,720 --> 00:06:04,160 Speaker 1: gets pet it cures a week because she's so fucking rich. Yeah, 103 00:06:04,200 --> 00:06:06,359 Speaker 1: I mean they all have all of the money. Um, 104 00:06:06,400 --> 00:06:09,520 Speaker 1: it's amazing the articles by Ashley Feinberg, and it's it's 105 00:06:09,760 --> 00:06:13,440 Speaker 1: very fun um and and was a bright spot getting 106 00:06:13,480 --> 00:06:17,440 Speaker 1: up this morning after getting angry at the hash which 107 00:06:17,640 --> 00:06:21,520 Speaker 1: so much for sharing this online journey. I think that 108 00:06:22,720 --> 00:06:28,839 Speaker 1: anyway really went with introduction dear old Hill's feet mm hmm, 109 00:06:29,839 --> 00:06:34,200 Speaker 1: not impressed. Who's feet the dear old Hillary Clinton? Oh, 110 00:06:34,279 --> 00:06:36,560 Speaker 1: Hillary Clinton's feet. Look, I'm not going to comment on 111 00:06:36,600 --> 00:06:41,479 Speaker 1: anybody's feet. That's for the that's for the professionals. Remember, 112 00:06:43,120 --> 00:06:46,920 Speaker 1: rating not good. It's better than it should be. Though, 113 00:06:47,000 --> 00:06:50,000 Speaker 1: let me tell you these feet are fucked. I want 114 00:06:50,040 --> 00:06:52,640 Speaker 1: to know if I got Mama's bunny and they seem 115 00:06:52,720 --> 00:06:54,760 Speaker 1: to never have seen a picture of my feet feed 116 00:06:54,839 --> 00:06:58,280 Speaker 1: or higher rated than Hillary Clinton's feet. Yeah, but there's 117 00:06:58,320 --> 00:07:00,599 Speaker 1: like five ratings. No, I don't how many there. Art 118 00:07:00,680 --> 00:07:02,919 Speaker 1: doesn't matter. I don't need you guys to shower me 119 00:07:02,960 --> 00:07:07,880 Speaker 1: with Wiki feet ratings. The dub your number one in 120 00:07:07,920 --> 00:07:12,440 Speaker 1: my heart? Thank you, thank you. Okay, but now I'm 121 00:07:12,440 --> 00:07:14,600 Speaker 1: taking a hard pivot. If I was really number one 122 00:07:14,600 --> 00:07:17,280 Speaker 1: in your heart, you'd go give me a good rating. 123 00:07:17,320 --> 00:07:21,040 Speaker 1: I'm doing it right now. Let's talk about this week's show. 124 00:07:21,440 --> 00:07:24,800 Speaker 1: I would really quickly. I have to read this Hillary 125 00:07:24,840 --> 00:07:29,360 Speaker 1: Clinton review. I was expecting her feet to look much worse, 126 00:07:29,440 --> 00:07:32,280 Speaker 1: but honestly, your feet doesn't look that bad. I am 127 00:07:32,320 --> 00:07:34,320 Speaker 1: not a fan of her politics, but if I was 128 00:07:34,360 --> 00:07:36,800 Speaker 1: stuck in ben Ghazi and the only way out was 129 00:07:36,880 --> 00:07:43,160 Speaker 1: to massage your feet, Wait, this is how we bridge 130 00:07:43,200 --> 00:07:49,880 Speaker 1: the partisan That's that's We've had a lot of conversations 131 00:07:49,880 --> 00:07:52,720 Speaker 1: about what it means to have integrity as a journalist. 132 00:07:53,040 --> 00:07:55,720 Speaker 1: That post has everything about it, and that's what it 133 00:07:55,760 --> 00:07:58,960 Speaker 1: means people. That's what I mean. That's the way yours. 134 00:07:59,440 --> 00:08:02,600 Speaker 1: But you ride a look with a gimlet. I a clear, 135 00:08:03,320 --> 00:08:07,560 Speaker 1: unsparing view of reality. And I I applaud the hero 136 00:08:07,920 --> 00:08:11,120 Speaker 1: at wiki feed who wrote that comment stry for objectivism 137 00:08:11,160 --> 00:08:20,240 Speaker 1: acknowledged that subjectivism exists, Hugo Jackson. Great job, Hugot. Journalists need. 138 00:08:20,880 --> 00:08:24,360 Speaker 1: Let's let's shut down Columbia Journalism School and just have 139 00:08:24,520 --> 00:08:27,160 Speaker 1: kids who want to be journalists. We read wiki feed. 140 00:08:27,360 --> 00:08:30,640 Speaker 1: That's going to teach them all they need to know childrenists. 141 00:08:30,840 --> 00:08:33,800 Speaker 1: All right, Um, Probert, what are we talking about today 142 00:08:33,840 --> 00:08:39,080 Speaker 1: on the show. We're talking about the increasingly violent and 143 00:08:39,320 --> 00:08:44,559 Speaker 1: wildly undercovered battle for unionization, particularly within a couple of 144 00:08:44,559 --> 00:08:48,480 Speaker 1: different two different stories in Alabama of the Amazon workers 145 00:08:48,520 --> 00:08:51,880 Speaker 1: and of a minor strike. And we're bringing on a 146 00:08:51,880 --> 00:08:54,680 Speaker 1: friend of the pod, Kim Kelly, because she has spent 147 00:08:54,760 --> 00:08:57,920 Speaker 1: a lot of time down there talking to members of 148 00:08:57,960 --> 00:09:00,320 Speaker 1: both kind of striking groups and she had a lot 149 00:09:00,320 --> 00:09:04,480 Speaker 1: of nuanced information and people need to know more about it. Yeah, 150 00:09:04,520 --> 00:09:07,600 Speaker 1: this is a great interview. Thanks Kim for joining us, 151 00:09:07,960 --> 00:09:11,320 Speaker 1: and I hope you guys like it. Cody is holding 152 00:09:11,360 --> 00:09:13,760 Speaker 1: up a block of ice to his face because his 153 00:09:14,200 --> 00:09:16,280 Speaker 1: uh A c is broken. Cody, why don't you you 154 00:09:16,280 --> 00:09:19,240 Speaker 1: should put that underneath your shirt or something like? Cool 155 00:09:19,280 --> 00:09:22,319 Speaker 1: down that core? Right? You want to get the ice 156 00:09:22,360 --> 00:09:25,319 Speaker 1: block right in the taint. The taint is what holds 157 00:09:25,320 --> 00:09:28,960 Speaker 1: all your heat. Um, shove it up your butt. There's 158 00:09:29,000 --> 00:09:32,560 Speaker 1: a reason. Yeah, if you can get inside, that's really 159 00:09:32,600 --> 00:09:37,360 Speaker 1: gonna work best. I mean again, you guys, Yes, what 160 00:09:37,760 --> 00:09:42,680 Speaker 1: introduce our guest. Welcome Ken Kelly to the worst year ever. Kim, 161 00:09:42,720 --> 00:09:45,640 Speaker 1: how are you doing today? I'm good. I'm excited to 162 00:09:45,679 --> 00:09:47,559 Speaker 1: talk to you about all the things I've been obsessing 163 00:09:47,559 --> 00:09:52,360 Speaker 1: over for the past several months. Yeah. So, as we 164 00:09:52,360 --> 00:09:54,560 Speaker 1: were saying before we started, when we were explaining the 165 00:09:54,559 --> 00:09:56,640 Speaker 1: show to you, we we try to cover the big 166 00:09:56,640 --> 00:09:58,800 Speaker 1: stories and sometimes the stories that we think didn't get 167 00:09:58,880 --> 00:10:02,080 Speaker 1: enough attention. Uh. And we're talking about a story that 168 00:10:02,200 --> 00:10:05,280 Speaker 1: is both today we're talking about unionization with Amazon and 169 00:10:05,520 --> 00:10:09,120 Speaker 1: the ongoing minor strike, um, both of which are big 170 00:10:09,160 --> 00:10:12,000 Speaker 1: stories and also stories that didn't get as much attention 171 00:10:12,040 --> 00:10:16,480 Speaker 1: as they deserved, particularly from us. So uh and you 172 00:10:16,559 --> 00:10:20,000 Speaker 1: have been um diving face first into both of these 173 00:10:20,040 --> 00:10:23,880 Speaker 1: tales and swimming into the deep end doing I don't know, 174 00:10:23,920 --> 00:10:27,240 Speaker 1: impressive swimming things. So my my analogy is going to 175 00:10:27,240 --> 00:10:30,840 Speaker 1: break apart at this point, but your coverage has been incredible. UM. 176 00:10:30,920 --> 00:10:32,400 Speaker 1: So it's one if you could start by kind of 177 00:10:32,400 --> 00:10:37,360 Speaker 1: giving us an overview of that, right, Okay, So yeah, 178 00:10:37,360 --> 00:10:39,720 Speaker 1: those are two Those are two different stories, but they're 179 00:10:39,720 --> 00:10:42,719 Speaker 1: all happening in the same area and around they kind 180 00:10:42,760 --> 00:10:45,600 Speaker 1: of overlapped two, which is how so the way that 181 00:10:45,679 --> 00:10:48,280 Speaker 1: I even found out about the minor strike and the 182 00:10:48,320 --> 00:10:50,880 Speaker 1: reason that I kind of got sucked into it is 183 00:10:50,920 --> 00:10:53,400 Speaker 1: because I happened to be there, happened to be there 184 00:10:53,400 --> 00:10:58,440 Speaker 1: in Alabama in um well, Okay, so Birmingham is where 185 00:10:58,520 --> 00:11:01,719 Speaker 1: the union hall is paced for rm D issue with 186 00:11:01,760 --> 00:11:04,000 Speaker 1: the know that was behind the Amazon union drive. So 187 00:11:04,040 --> 00:11:06,680 Speaker 1: I've been staying in Birmingham, but Bessemer is where the 188 00:11:06,679 --> 00:11:09,640 Speaker 1: warehouse or Amazon was, and now the coal minor strike 189 00:11:09,720 --> 00:11:11,760 Speaker 1: is happening in Brookwood, and these are all just like 190 00:11:11,800 --> 00:11:15,000 Speaker 1: further and further out into places where there's not any 191 00:11:15,040 --> 00:11:17,040 Speaker 1: cellphone service and there's lots of trees, so it's like 192 00:11:17,080 --> 00:11:18,480 Speaker 1: just like where I grew up. So I felt right 193 00:11:18,520 --> 00:11:21,400 Speaker 1: at home. But I happen to be down there to 194 00:11:21,600 --> 00:11:25,320 Speaker 1: hang out with some Amazon workers m in April, and 195 00:11:25,360 --> 00:11:27,480 Speaker 1: I had heard that there's this coal minor strike happening 196 00:11:27,520 --> 00:11:29,280 Speaker 1: like forty five minutes outside town. I was like, Oh, 197 00:11:29,360 --> 00:11:31,760 Speaker 1: what's going on with that? And we just went out there, 198 00:11:31,920 --> 00:11:33,960 Speaker 1: brought some Crispy Koreans out to the picket line one 199 00:11:34,040 --> 00:11:36,079 Speaker 1: day and started talking to folks about what was happening. 200 00:11:36,120 --> 00:11:38,640 Speaker 1: And I was like, Yo, this is a huge deal. 201 00:11:38,720 --> 00:11:42,120 Speaker 1: There's eleven hundred people on strike right now in this 202 00:11:42,240 --> 00:11:45,600 Speaker 1: rural community right outside of Birmingham. Is actually between Birmingham 203 00:11:45,640 --> 00:11:48,640 Speaker 1: and Tuscaloosa, through like the two big cities in the area, 204 00:11:49,480 --> 00:11:51,760 Speaker 1: and there, you know, I just kind of got hooked 205 00:11:51,800 --> 00:11:54,720 Speaker 1: because I started talking to people and form relationships, and 206 00:11:55,080 --> 00:11:56,800 Speaker 1: you know, I grew up with a bunch of rednecks, 207 00:11:56,840 --> 00:11:59,520 Speaker 1: so there was a lot of sort of a common 208 00:11:59,559 --> 00:12:03,920 Speaker 1: ground could find with some of the folks there. But um, yeah, 209 00:12:04,000 --> 00:12:06,720 Speaker 1: it's turned into I guess, a personal crusade in a 210 00:12:06,760 --> 00:12:08,840 Speaker 1: way to get people to pay attention because it is 211 00:12:08,880 --> 00:12:11,520 Speaker 1: such a big deal, and because I was there covering 212 00:12:11,559 --> 00:12:14,600 Speaker 1: Amazon and I got so much attention and they're so 213 00:12:14,679 --> 00:12:19,880 Speaker 1: close but so far. Yeah, I would love to Yes, 214 00:12:19,960 --> 00:12:23,760 Speaker 1: you're right. I have heard about the Amazon unionization efforts. 215 00:12:23,760 --> 00:12:26,960 Speaker 1: Of course, that got a lot of attention, but this isn't. 216 00:12:27,040 --> 00:12:30,600 Speaker 1: The Coast minor strike is not something that UM has 217 00:12:30,640 --> 00:12:34,520 Speaker 1: been on my radar, not really have heard it mentioned 218 00:12:34,520 --> 00:12:37,240 Speaker 1: over the last week. So I would love uh too. 219 00:12:37,440 --> 00:12:40,319 Speaker 1: Perhaps we can start there UM and giving us a 220 00:12:40,360 --> 00:12:43,640 Speaker 1: little bit of a background as to what's happening. Right. So, 221 00:12:43,760 --> 00:12:47,480 Speaker 1: there are currently eleven hundred unionized coal miners on strike 222 00:12:47,520 --> 00:12:49,920 Speaker 1: at Worrying at Cole and Brookwood, Alabama. They're members of 223 00:12:49,960 --> 00:12:52,080 Speaker 1: the u m w A United Mine Workers of America. 224 00:12:52,679 --> 00:12:55,720 Speaker 1: They've been out since April one, and they're on unfair 225 00:12:55,800 --> 00:12:59,520 Speaker 1: labor practices strike, which basically means that the company that 226 00:12:59,559 --> 00:13:02,160 Speaker 1: there union is alleging that the company is not operating 227 00:13:02,160 --> 00:13:04,760 Speaker 1: in good faith. They have been bargaining in good faith right. 228 00:13:04,800 --> 00:13:07,000 Speaker 1: They've been working on a new contract. Their contract that 229 00:13:07,040 --> 00:13:11,160 Speaker 1: they signed sixteen is up now. And that contract really 230 00:13:11,240 --> 00:13:14,120 Speaker 1: really sucked. They knew it sucked. They were not happy 231 00:13:14,120 --> 00:13:16,600 Speaker 1: about it. But the reason I signed it was because 232 00:13:17,320 --> 00:13:20,120 Speaker 1: Warrior Matt Cole came in and kind of scooped up 233 00:13:20,160 --> 00:13:23,440 Speaker 1: the company. Following a bankruptcy that the prior owners, Walter 234 00:13:23,600 --> 00:13:27,720 Speaker 1: Energy tifteen, they went belly up and they laid off 235 00:13:27,760 --> 00:13:30,640 Speaker 1: like over a thousand people. This new company, which is 236 00:13:30,720 --> 00:13:33,400 Speaker 1: backed by a bunch of venture capital funds and has 237 00:13:33,600 --> 00:13:36,480 Speaker 1: some offices in New York, which is funny. They they 238 00:13:36,520 --> 00:13:38,720 Speaker 1: came in there like, okay, we'll bring you guys back, 239 00:13:38,840 --> 00:13:41,440 Speaker 1: and here's the contract you're gonna sign. We're gonna slash 240 00:13:41,440 --> 00:13:44,280 Speaker 1: your pay by six bucks an hour. We're gonna funk 241 00:13:44,280 --> 00:13:47,319 Speaker 1: with your overtime. We're gonna take away all your vacation days. 242 00:13:47,360 --> 00:13:49,680 Speaker 1: We're gonna keep you from seeing your families. We're gonna 243 00:13:49,760 --> 00:13:52,480 Speaker 1: keep you under their twelve hours a day, six days 244 00:13:52,480 --> 00:13:54,360 Speaker 1: a week, and you're gonna like it, because what else 245 00:13:54,360 --> 00:13:58,120 Speaker 1: are you gonna do? And now, I mean, nobody's were 246 00:13:58,160 --> 00:14:00,600 Speaker 1: happy about that. But then they figured, Okay, we're gonna 247 00:14:00,600 --> 00:14:02,600 Speaker 1: help this company get on its feet. It's gonna build 248 00:14:02,600 --> 00:14:05,160 Speaker 1: itself up. And then the profits that they see that's 249 00:14:05,200 --> 00:14:07,679 Speaker 1: gonna translate into a better deal for us down the line. 250 00:14:08,240 --> 00:14:12,200 Speaker 1: And now that time, you know, time's up. And they 251 00:14:12,240 --> 00:14:14,960 Speaker 1: realized that the company has no intention of sharing that 252 00:14:15,000 --> 00:14:17,840 Speaker 1: wealth with them, or cutting them a break, or even 253 00:14:17,840 --> 00:14:22,479 Speaker 1: offering a decent deal. And so after months install negotiations, 254 00:14:22,800 --> 00:14:26,760 Speaker 1: the union called to strike April one. On April nine, 255 00:14:26,920 --> 00:14:30,880 Speaker 1: the membership voted down attentative agreement that the company and 256 00:14:30,920 --> 00:14:33,840 Speaker 1: the union had had put together. They tried to negotiate 257 00:14:33,880 --> 00:14:36,320 Speaker 1: and get something a little better, it still wasn't good enough. 258 00:14:36,360 --> 00:14:38,280 Speaker 1: So the miners are like, fun that we're staying out. 259 00:14:38,640 --> 00:14:42,840 Speaker 1: It's been it's coming up on four months now. They've 260 00:14:42,840 --> 00:14:45,280 Speaker 1: been out there, they've been picketing twenty four hours a day. 261 00:14:45,760 --> 00:14:48,920 Speaker 1: They've been dealing with just the most is like a 262 00:14:49,000 --> 00:14:52,480 Speaker 1: mix of horrible dystopianship and then also really old school 263 00:14:52,600 --> 00:14:56,640 Speaker 1: nasty whole boss ship. They've got. They're being surveilled by drones. 264 00:14:57,080 --> 00:14:59,440 Speaker 1: The company hired a bunch of armed security to keep 265 00:14:59,480 --> 00:15:01,280 Speaker 1: an eye on the um. It's been messing with them 266 00:15:01,280 --> 00:15:04,520 Speaker 1: in the court since finally injunctions alleging violence on the 267 00:15:04,520 --> 00:15:07,440 Speaker 1: picket lines to make to UH enforce a cap on 268 00:15:07,440 --> 00:15:09,320 Speaker 1: the amount of people that are allowed out there. You 269 00:15:09,360 --> 00:15:11,600 Speaker 1: can only have about ten people on those lines at once, 270 00:15:12,080 --> 00:15:14,200 Speaker 1: and these are now we think a picket line is 271 00:15:14,240 --> 00:15:17,320 Speaker 1: like a bunch of people walk around with signs and 272 00:15:17,360 --> 00:15:19,600 Speaker 1: like have yelling and you know, having a great time. 273 00:15:19,920 --> 00:15:22,320 Speaker 1: But that's not what it's like out here. There's twelve 274 00:15:22,440 --> 00:15:24,800 Speaker 1: entrances to these minds, and some of them are out 275 00:15:25,160 --> 00:15:28,520 Speaker 1: on these quiet back roads where there's no cell phone 276 00:15:28,520 --> 00:15:32,160 Speaker 1: service and lots of terrible things can happen. Terrible things 277 00:15:32,200 --> 00:15:34,520 Speaker 1: have already been happening. There have been in the past 278 00:15:34,960 --> 00:15:38,000 Speaker 1: week and a half. There have been three different vehicular 279 00:15:38,040 --> 00:15:41,280 Speaker 1: attacks on the picket lines. Multiple miners have been sent 280 00:15:41,360 --> 00:15:45,560 Speaker 1: to the hospital, and they have they they're pretty sure 281 00:15:45,600 --> 00:15:48,520 Speaker 1: they have proved that those cars, well biggest trucks are 282 00:15:48,600 --> 00:15:53,440 Speaker 1: being driven by company men, by scabs and by bosses. 283 00:15:53,800 --> 00:15:56,160 Speaker 1: And this is such a small, close knit community that 284 00:15:56,240 --> 00:15:59,600 Speaker 1: these folks know exactly who's working in those minds is 285 00:15:59,640 --> 00:16:02,840 Speaker 1: it's not exactly you know, it's targeting. Yeah, it's not 286 00:16:02,880 --> 00:16:04,960 Speaker 1: a giant labor pool, right, Like, they know who these 287 00:16:05,000 --> 00:16:07,000 Speaker 1: people are, They've grown up with some of these people. 288 00:16:07,400 --> 00:16:09,800 Speaker 1: So all this is unfolding, All this is happening. The 289 00:16:09,840 --> 00:16:12,080 Speaker 1: community has rallied around them to do as much as 290 00:16:12,080 --> 00:16:14,280 Speaker 1: they can to help keep their kids fed and their 291 00:16:14,280 --> 00:16:18,480 Speaker 1: bills pay. There is a really robust uh M auxiliary 292 00:16:18,800 --> 00:16:22,600 Speaker 1: auxiliary effort going that has a strike pantry and is 293 00:16:22,880 --> 00:16:26,440 Speaker 1: doing fundraising and getting donations in. There has been support 294 00:16:26,560 --> 00:16:31,200 Speaker 1: from the national labor movement, both rank and file members 295 00:16:31,200 --> 00:16:34,280 Speaker 1: are donating and that We've had some national leaders coming 296 00:16:34,320 --> 00:16:37,600 Speaker 1: down to the rallies to pump people up. But there 297 00:16:37,640 --> 00:16:40,920 Speaker 1: really hasn't been a ton of media coverage around it, 298 00:16:41,360 --> 00:16:46,479 Speaker 1: which I'm kind of singlehandedly trying to force that to change. 299 00:16:46,440 --> 00:16:50,360 Speaker 1: A good job, thank you. I'm trying, man like, and 300 00:16:50,400 --> 00:16:52,000 Speaker 1: I think a lot of the reason for that is 301 00:16:52,040 --> 00:16:55,280 Speaker 1: this isn't it's not as much of an easy, feel 302 00:16:55,320 --> 00:16:58,880 Speaker 1: good story as Amazon was. Because with the Amazon Union 303 00:16:58,920 --> 00:17:03,600 Speaker 1: campaign was a predominant black workforce working in this horrible 304 00:17:03,880 --> 00:17:09,280 Speaker 1: like futuristic gig economy esque sort of work environment going 305 00:17:09,320 --> 00:17:11,920 Speaker 1: up against the richest guy in the world. Everyone knows Amazon. 306 00:17:12,000 --> 00:17:14,600 Speaker 1: Most people hate Amazon. It was a very clear cut 307 00:17:14,640 --> 00:17:18,280 Speaker 1: case of David and goliaths, good versus evil, horrible rich 308 00:17:18,320 --> 00:17:20,560 Speaker 1: man trying to crush these hard working folks are being 309 00:17:20,600 --> 00:17:23,440 Speaker 1: abused and they're trying to do something about it, and 310 00:17:23,600 --> 00:17:25,359 Speaker 1: you know, it got a ton of coverage. But here 311 00:17:25,760 --> 00:17:28,639 Speaker 1: we have a lot of similarities. There's still rich people 312 00:17:28,800 --> 00:17:32,560 Speaker 1: treating poor and working class people like garbage, but the 313 00:17:32,640 --> 00:17:36,040 Speaker 1: demographics are different, and like the political cultural implications are different. 314 00:17:36,440 --> 00:17:38,000 Speaker 1: A lot of these guys are well, most of them 315 00:17:38,040 --> 00:17:40,280 Speaker 1: are guys. Most of them are white guys, and a 316 00:17:40,280 --> 00:17:44,399 Speaker 1: lot of them are conservative, rural Trump guys who are 317 00:17:44,400 --> 00:17:47,359 Speaker 1: living out in rural Alabama. But they're also die hard 318 00:17:47,400 --> 00:17:49,080 Speaker 1: for their union. So there's a little bit of a 319 00:17:49,080 --> 00:17:51,840 Speaker 1: complication in that narrative, right because that's not something that 320 00:17:52,160 --> 00:17:54,479 Speaker 1: you necessarily see in the same breath, because unions are 321 00:17:54,480 --> 00:17:57,280 Speaker 1: supposed to be like Comi Pinko ship or whatever this country. 322 00:17:57,960 --> 00:18:00,640 Speaker 1: So they're kind of between a at a hard place 323 00:18:00,640 --> 00:18:04,840 Speaker 1: because they've been abandoned by Republican politicians and the state government. 324 00:18:05,000 --> 00:18:06,639 Speaker 1: Albam is a right to work state. They don't like 325 00:18:06,760 --> 00:18:09,800 Speaker 1: unions there at least people in power don't like them, 326 00:18:09,840 --> 00:18:12,439 Speaker 1: so we're not going to see the congressional delegations and 327 00:18:12,480 --> 00:18:16,040 Speaker 1: like the Bernie tweets that the Amazon workers got. And 328 00:18:16,040 --> 00:18:18,560 Speaker 1: we're also not getting a lot of mainstream media coverage 329 00:18:18,640 --> 00:18:21,199 Speaker 1: because there's less of a hook and coal miners and 330 00:18:21,240 --> 00:18:25,600 Speaker 1: coal mining isn't the most sympathetic industry. Right we're doing, We're, 331 00:18:25,640 --> 00:18:28,320 Speaker 1: you know, in the midst of a climate crisis. Renewable 332 00:18:28,359 --> 00:18:30,879 Speaker 1: energy and green energy are kind of the those are 333 00:18:30,880 --> 00:18:33,640 Speaker 1: the energy solutions people want to talk about. Coal miners 334 00:18:33,680 --> 00:18:36,840 Speaker 1: and these extractive industries. People tend to look at them 335 00:18:36,880 --> 00:18:38,879 Speaker 1: as either things of the past or things that we 336 00:18:38,960 --> 00:18:41,840 Speaker 1: need to turn into things in the past, without reckoning 337 00:18:41,840 --> 00:18:45,159 Speaker 1: with the fact that, okay, yeah, but there's still about 338 00:18:45,240 --> 00:18:48,600 Speaker 1: forty four thousand people working in coal mines in this country, 339 00:18:48,600 --> 00:18:51,200 Speaker 1: and a lot of them have families, and they deserve 340 00:18:51,280 --> 00:18:54,359 Speaker 1: to make a decent wage too, especially given the incredibly 341 00:18:54,480 --> 00:18:57,440 Speaker 1: dangerous nature of this work. When I was down there, 342 00:18:57,760 --> 00:19:00,360 Speaker 1: I met a young man named Dalton who was twenty 343 00:19:00,400 --> 00:19:02,720 Speaker 1: two years old. He always ever wanted to do is 344 00:19:02,760 --> 00:19:05,720 Speaker 1: be a coal miner. A couple of weeks into him 345 00:19:05,760 --> 00:19:09,600 Speaker 1: working at warriam at Cole. He was underground and he 346 00:19:09,720 --> 00:19:13,160 Speaker 1: was crushed between two pieces of heavy machinery and now 347 00:19:13,280 --> 00:19:15,840 Speaker 1: Dalton is in a wheelchair and he's not going to 348 00:19:15,960 --> 00:19:19,959 Speaker 1: walk again, and what's going to happen to Dalton? You know, 349 00:19:20,160 --> 00:19:23,120 Speaker 1: Like these are the kind of personal stories that stick 350 00:19:23,160 --> 00:19:25,800 Speaker 1: out to me. Is like both the reporter or whatever 351 00:19:25,840 --> 00:19:28,679 Speaker 1: and also just a human you know, like even if 352 00:19:28,720 --> 00:19:33,600 Speaker 1: you don't necessarily like what someone's job is, like, don't 353 00:19:33,600 --> 00:19:35,680 Speaker 1: they still deserve to be treated fairly and be able 354 00:19:35,720 --> 00:19:38,040 Speaker 1: to pay their bills? You know, That's what it comes 355 00:19:38,040 --> 00:19:39,840 Speaker 1: down to. And that's why I feel like I've been 356 00:19:39,880 --> 00:19:44,440 Speaker 1: giving you this sort of shakespeerience a little quick but yeah, 357 00:19:44,480 --> 00:19:58,720 Speaker 1: that's that's what's happening in Broken, Alabama. So one of 358 00:19:58,720 --> 00:20:03,719 Speaker 1: the things I'm curious out because there's been such um 359 00:20:03,840 --> 00:20:06,520 Speaker 1: I've seen what seems to be like the start of, uh, 360 00:20:06,680 --> 00:20:10,320 Speaker 1: some really compelling reporting on some of the ship Amazon's 361 00:20:10,359 --> 00:20:13,560 Speaker 1: done r e. Like putting up their own dropbox or 362 00:20:14,280 --> 00:20:16,800 Speaker 1: like it seems like that it's one of those things 363 00:20:16,800 --> 00:20:18,560 Speaker 1: where people are still trying to figure out Like there's 364 00:20:18,640 --> 00:20:21,000 Speaker 1: obviously a lot of like theories that have spread about 365 00:20:21,040 --> 00:20:22,880 Speaker 1: what they were doing, but I don't think we have 366 00:20:23,600 --> 00:20:26,960 Speaker 1: like a comprehensive list of exactly all of the behavior 367 00:20:27,000 --> 00:20:29,880 Speaker 1: shady behaviors they may have engaged in. But like because 368 00:20:29,880 --> 00:20:32,080 Speaker 1: I haven't had time to vet everything I'm hearing about, 369 00:20:32,080 --> 00:20:33,760 Speaker 1: like ship they were doing with the drop boxes and 370 00:20:33,800 --> 00:20:38,400 Speaker 1: the vote. Yeah, yeah, I'm just wondering, like what what 371 00:20:38,440 --> 00:20:40,760 Speaker 1: we what we know at this point, what we suspect, 372 00:20:40,800 --> 00:20:43,040 Speaker 1: and like kind of what the avenues of investigation are 373 00:20:43,080 --> 00:20:46,520 Speaker 1: to try to figure out the exact dimensions of it, right, 374 00:20:46,600 --> 00:20:49,880 Speaker 1: Like I know, you know, so for anybody tuning in, 375 00:20:50,080 --> 00:20:54,160 Speaker 1: like Robert's referring to this incredibly robust union busting campaign 376 00:20:54,240 --> 00:20:57,960 Speaker 1: Amazon ran against the workers at this cestimal warehouse. And 377 00:20:58,320 --> 00:21:01,520 Speaker 1: they again, they they really innovate it in a way 378 00:21:01,520 --> 00:21:04,560 Speaker 1: because they're Amazon, right, they love to innovate, So they 379 00:21:04,640 --> 00:21:09,080 Speaker 1: really took advantage. No, they are very rich and pretty smart, 380 00:21:09,240 --> 00:21:11,479 Speaker 1: and you really only having even one of those in 381 00:21:11,480 --> 00:21:13,320 Speaker 1: your favor, you're probably gonna be able to get around 382 00:21:13,680 --> 00:21:17,160 Speaker 1: the US government. So the things when I was down there, 383 00:21:17,480 --> 00:21:19,200 Speaker 1: I spent a lot of time down there. Actually that's 384 00:21:19,200 --> 00:21:20,840 Speaker 1: how I ended up in Alabama, the first place I 385 00:21:20,840 --> 00:21:23,199 Speaker 1: was covering this Amazon campaign. I was probably there for 386 00:21:23,720 --> 00:21:26,520 Speaker 1: well over a month total over a couple of trips. 387 00:21:26,600 --> 00:21:31,000 Speaker 1: But so Amazon was They're kind of pulling out every 388 00:21:31,040 --> 00:21:34,159 Speaker 1: trick in the book. There's very standard union busty things 389 00:21:34,480 --> 00:21:37,080 Speaker 1: that basically any kind of shitty boss will pole, whether 390 00:21:37,119 --> 00:21:41,000 Speaker 1: it's you know, posting up anti union flyers or pulling 391 00:21:41,000 --> 00:21:44,639 Speaker 1: aside workers to talk to them about the facts, or 392 00:21:45,200 --> 00:21:48,560 Speaker 1: you know, holding these captive audience meetings which Amazon man. 393 00:21:48,560 --> 00:21:50,960 Speaker 1: People really upset about Amazon doing that because this is 394 00:21:51,000 --> 00:21:54,520 Speaker 1: a workplace in which you have basically no time to yourself. 395 00:21:54,520 --> 00:21:56,840 Speaker 1: You are tracked by an algorithm. Every second of your 396 00:21:56,920 --> 00:21:59,760 Speaker 1: day is accounted for, and you're told, you know, we 397 00:21:59,760 --> 00:22:01,640 Speaker 1: can't give you an extra time to go to the bathroom, 398 00:22:01,680 --> 00:22:03,600 Speaker 1: we can't give you extra time for lunch, like sorry, 399 00:22:03,640 --> 00:22:06,040 Speaker 1: if you if you're more than a minute late, you 400 00:22:06,080 --> 00:22:08,840 Speaker 1: are going to get docked, like sorry, figure it out. 401 00:22:09,640 --> 00:22:13,080 Speaker 1: But Amazon is running these captive audience meetings wherein they 402 00:22:13,080 --> 00:22:15,919 Speaker 1: would pull in workers and have them a classroom setting 403 00:22:15,960 --> 00:22:18,800 Speaker 1: and just have them be lectured by anti union consultants 404 00:22:18,800 --> 00:22:22,480 Speaker 1: for hours. And this happened to thousands of people, like 405 00:22:23,240 --> 00:22:25,199 Speaker 1: it was ridiculous. It's like it was just very much 406 00:22:25,200 --> 00:22:29,240 Speaker 1: showing like our time matters, yours doesn't and you know 407 00:22:31,080 --> 00:22:34,480 Speaker 1: that's legal to Yeah, so that that's my question because 408 00:22:34,480 --> 00:22:40,480 Speaker 1: that sure seems like union busty behavior. Um, but definitely 409 00:22:40,480 --> 00:22:43,960 Speaker 1: ex Oh yeah, that's that's a classic case. But that's 410 00:22:44,040 --> 00:22:47,080 Speaker 1: legal under our current labor laws because their garbage. So 411 00:22:47,200 --> 00:22:49,280 Speaker 1: you can do that, it's you shouldn't be able to 412 00:22:49,359 --> 00:22:52,080 Speaker 1: do that. Or like Amazon in their case, they have 413 00:22:52,160 --> 00:22:54,960 Speaker 1: an app, a z app that workers used to track 414 00:22:55,400 --> 00:22:57,840 Speaker 1: their activities during the day and find out wh they're scheduling, 415 00:22:58,480 --> 00:23:01,080 Speaker 1: and that means the Amazon has access to their workers. 416 00:23:01,720 --> 00:23:05,160 Speaker 1: Seven so creepy. It's so creepy. I'm sorry, I track 417 00:23:05,600 --> 00:23:09,640 Speaker 1: an app tracking you, tracking your steps, your movement, your productivity. 418 00:23:09,920 --> 00:23:16,359 Speaker 1: It's so fucked up that it really is. That's becoming 419 00:23:16,400 --> 00:23:19,120 Speaker 1: a more and more frequent thing though within that space, 420 00:23:19,240 --> 00:23:21,520 Speaker 1: like there's a story that dropped recently that Walmart was 421 00:23:21,520 --> 00:23:23,160 Speaker 1: going to start giving out free I think that we're 422 00:23:23,160 --> 00:23:26,119 Speaker 1: Samsung phones to a bunch of their workers. And of 423 00:23:26,160 --> 00:23:27,920 Speaker 1: course the reason that we're doing it is because there's 424 00:23:27,960 --> 00:23:30,240 Speaker 1: an app for them that will track all of their 425 00:23:30,280 --> 00:23:33,320 Speaker 1: ship like they don't. There's no end to the degree 426 00:23:33,359 --> 00:23:37,120 Speaker 1: they want to do that. Um, it's and with Amazon, 427 00:23:37,160 --> 00:23:39,640 Speaker 1: there's two I wanted to say, they just came to mind. 428 00:23:39,640 --> 00:23:42,880 Speaker 1: There's these two examples of the ways that Amazon flexes 429 00:23:42,920 --> 00:23:45,640 Speaker 1: its power and influence with the government that I think 430 00:23:45,640 --> 00:23:48,520 Speaker 1: we're really interesting and really stuck out about this campaign, 431 00:23:48,760 --> 00:23:52,960 Speaker 1: local government and federal government. So something that actually it 432 00:23:53,119 --> 00:23:55,679 Speaker 1: was my scoop, but I think the version report on it, 433 00:23:55,760 --> 00:23:58,720 Speaker 1: but I found out that and we confirmed later that 434 00:23:58,800 --> 00:24:02,280 Speaker 1: this was this was accurate. It that um the that 435 00:24:02,359 --> 00:24:06,359 Speaker 1: Amazon had convinced the county to change the traffic lights 436 00:24:06,440 --> 00:24:09,399 Speaker 1: in front of their facility. Yeah, okay, so, and the 437 00:24:09,400 --> 00:24:12,280 Speaker 1: reason they did that was because union organizers were not 438 00:24:12,359 --> 00:24:15,639 Speaker 1: allowed on the property. So there was this little little 439 00:24:15,640 --> 00:24:18,720 Speaker 1: concrete block at this intersection where organizes with stand with 440 00:24:18,840 --> 00:24:20,840 Speaker 1: signs and try to talk to folks and hand out 441 00:24:20,840 --> 00:24:24,280 Speaker 1: literature as they're coming and going. And they really they 442 00:24:24,400 --> 00:24:27,600 Speaker 1: noticed pretty soon after they showed up that the traffic 443 00:24:27,640 --> 00:24:31,000 Speaker 1: patterns were changing, and then they sped up the traffic 444 00:24:31,080 --> 00:24:33,600 Speaker 1: lights so that the greens would come much quicker, so 445 00:24:33,640 --> 00:24:36,119 Speaker 1: people wouldn't have time to talk to folks. I know, 446 00:24:36,240 --> 00:24:38,800 Speaker 1: I know one organizer who he showed me photos he 447 00:24:38,800 --> 00:24:41,320 Speaker 1: almost got hit by a car because there was such 448 00:24:41,320 --> 00:24:44,560 Speaker 1: a drawing change that was something that they could just do. 449 00:24:44,800 --> 00:24:47,520 Speaker 1: You could just do that. And in addition to that, 450 00:24:47,600 --> 00:24:51,040 Speaker 1: the mailbox that Robert mentioned earlier, that is kind of 451 00:24:51,080 --> 00:24:54,560 Speaker 1: the biggest thing that is probably going to lead to 452 00:24:54,600 --> 00:24:57,399 Speaker 1: a rerun election is gonna lead for the l r 453 00:24:57,480 --> 00:25:00,560 Speaker 1: B two rule and the union's favor because Amazon set 454 00:25:00,640 --> 00:25:03,880 Speaker 1: up this mailbox in front of their facility and there 455 00:25:03,720 --> 00:25:05,720 Speaker 1: were there in the midst of a mail in election, 456 00:25:06,240 --> 00:25:08,879 Speaker 1: which means it not wasn't in person. People were gonna 457 00:25:09,000 --> 00:25:11,359 Speaker 1: they're set their ballots and they mailed them in and 458 00:25:11,400 --> 00:25:13,240 Speaker 1: that's how it worked as a secret ballot as a 459 00:25:13,240 --> 00:25:16,399 Speaker 1: pandemic made sense. But they set up this mailbox in 460 00:25:16,480 --> 00:25:19,800 Speaker 1: front of their facility with security cameras on it, of course, 461 00:25:20,320 --> 00:25:24,080 Speaker 1: and and Current vocally encouraged and checked in on workers 462 00:25:24,080 --> 00:25:25,560 Speaker 1: to see, oh, did you drop off your butt to 463 00:25:25,640 --> 00:25:27,600 Speaker 1: drop your ballot off? Did you drop your ballot off 464 00:25:27,680 --> 00:25:30,199 Speaker 1: to put in the box yet? And the thing is 465 00:25:30,240 --> 00:25:34,080 Speaker 1: that they had asked the uh, the MLRB, hey can 466 00:25:34,119 --> 00:25:37,440 Speaker 1: we do this nationally relations board? And m LRB was like, no, 467 00:25:37,600 --> 00:25:41,600 Speaker 1: you can't do that, and what did Amazon do? They 468 00:25:41,680 --> 00:25:45,000 Speaker 1: did that? And there's all these like there's all the 469 00:25:45,280 --> 00:25:47,600 Speaker 1: no one's still there's still a lot of questions about 470 00:25:47,640 --> 00:25:49,919 Speaker 1: like how they're able to get away with that was 471 00:25:50,240 --> 00:25:52,439 Speaker 1: like the usps in on it, did they like what 472 00:25:52,520 --> 00:25:56,120 Speaker 1: kind of flexus did they pull? Um? It was kind 473 00:25:56,119 --> 00:25:58,160 Speaker 1: of wild. Wait, we went to the Best Sumber post 474 00:25:58,200 --> 00:26:00,119 Speaker 1: office and tried to talk to the postmaster, but then 475 00:26:00,160 --> 00:26:03,320 Speaker 1: he called the cops on us. So it's still kind 476 00:26:03,359 --> 00:26:06,400 Speaker 1: of a question mark. And nobody knew throughout the course 477 00:26:06,440 --> 00:26:08,600 Speaker 1: of that, no one knew who had the keys to 478 00:26:08,760 --> 00:26:11,160 Speaker 1: the mailbox where the ballots for the union election were 479 00:26:11,200 --> 00:26:14,680 Speaker 1: being placed. So it's it's just really shady. The whole 480 00:26:14,680 --> 00:26:16,840 Speaker 1: thing is real shady, and the mailbox is one of 481 00:26:16,880 --> 00:26:21,680 Speaker 1: the biggest pieces of evidence in the ongoing um that 482 00:26:21,840 --> 00:26:26,000 Speaker 1: what's the word the union file charges against uh here, 483 00:26:26,080 --> 00:26:30,840 Speaker 1: ongoing hearings. That's the battle hearings. Yeah, ongoing hearings. So 484 00:26:30,920 --> 00:26:33,920 Speaker 1: that's you know, after the loss, Gott announced it kind 485 00:26:33,920 --> 00:26:38,159 Speaker 1: of made sense because of how much time and effort 486 00:26:38,160 --> 00:26:41,400 Speaker 1: and resources Amazon poured into trying to scare the ship 487 00:26:41,440 --> 00:26:43,600 Speaker 1: other employees and say, oh, we might have to shut 488 00:26:43,600 --> 00:26:45,880 Speaker 1: down the warehouse, you might lose your benefits, Like are 489 00:26:45,880 --> 00:26:48,560 Speaker 1: you sure you want to both the union in But 490 00:26:48,680 --> 00:26:51,720 Speaker 1: it sounds like there's they're gonna get another chance, Like 491 00:26:51,800 --> 00:26:54,320 Speaker 1: it sounds very likely the thing you will want to 492 00:26:54,359 --> 00:26:57,440 Speaker 1: rerun an election in the next year or so, if 493 00:26:57,440 --> 00:27:02,080 Speaker 1: not sooner, So we'll see. I'm of course stuck on 494 00:27:02,280 --> 00:27:09,840 Speaker 1: the changing of the crosswalk. Is that creepy, unhinged blant. 495 00:27:11,280 --> 00:27:12,800 Speaker 1: It's just like we can do whatever we went. Oh, 496 00:27:12,840 --> 00:27:16,919 Speaker 1: they also have they they have AMA so they have 497 00:27:17,000 --> 00:27:22,200 Speaker 1: local police that monitor the parking lot, monitor the warehouse. 498 00:27:23,119 --> 00:27:27,000 Speaker 1: But they're in official bessemer that they're like best member 499 00:27:27,000 --> 00:27:30,480 Speaker 1: police cars. They're not like Amazon police. Their local police 500 00:27:30,800 --> 00:27:33,439 Speaker 1: that are just pulling there making like an extra thirty 501 00:27:33,480 --> 00:27:37,199 Speaker 1: bucks an hour on overtime picking this up moonlighting. Yeah, 502 00:27:37,240 --> 00:27:40,240 Speaker 1: and of course that's caused issues too, because like there's 503 00:27:40,320 --> 00:27:43,560 Speaker 1: cops between you and your workplace and they're right there. 504 00:27:43,720 --> 00:27:46,879 Speaker 1: And I talked to a young man who was arrested 505 00:27:47,320 --> 00:27:50,000 Speaker 1: and taking the jail because he was upset his ID 506 00:27:50,160 --> 00:27:52,240 Speaker 1: card wasn't working. So we got thrown in jail because 507 00:27:52,240 --> 00:27:57,199 Speaker 1: the cops are right there. You know, it's reaction. You know, 508 00:27:57,560 --> 00:28:00,439 Speaker 1: we all expect cops to react pro free. It lead 509 00:28:00,480 --> 00:28:06,360 Speaker 1: to the circumstances and situation. Its tracks um. Going back 510 00:28:06,400 --> 00:28:08,640 Speaker 1: to the coal miners story. A couple of things are 511 00:28:08,680 --> 00:28:12,280 Speaker 1: just popping up in terms of I'm just gonna go 512 00:28:12,359 --> 00:28:18,639 Speaker 1: to There have been multiple incidents where people have driven 513 00:28:18,720 --> 00:28:24,640 Speaker 1: through the crowd of protesters, Um, I and a lot 514 00:28:24,720 --> 00:28:27,160 Speaker 1: of them and a lot of them. Can we talk 515 00:28:27,200 --> 00:28:29,679 Speaker 1: a bit more about that. Have there been injuries? Is 516 00:28:29,680 --> 00:28:32,320 Speaker 1: there going to be any course of action taken? Or 517 00:28:32,400 --> 00:28:34,360 Speaker 1: is this another thing that's going to be swept under 518 00:28:34,359 --> 00:28:41,200 Speaker 1: the rug? Was a manager, right, oh man? One of 519 00:28:41,200 --> 00:28:43,280 Speaker 1: the people. Yeah, one goes a bus and then there's 520 00:28:43,320 --> 00:28:45,920 Speaker 1: some scabs. So the thing is the company is flying 521 00:28:46,000 --> 00:28:48,400 Speaker 1: drones to surveil the pick of lines. So the unions like, 522 00:28:48,440 --> 00:28:51,080 Speaker 1: well okay, and they have their own drones. So actually 523 00:28:51,080 --> 00:28:53,920 Speaker 1: one of the union drones captured footage of a truck 524 00:28:54,040 --> 00:28:57,920 Speaker 1: driving directly into the into the lines, which is it's 525 00:28:57,920 --> 00:29:01,640 Speaker 1: really awful to see. I mean, like it's very violent. Obviously, Yeah, 526 00:29:01,680 --> 00:29:04,000 Speaker 1: it's it's horror. I mean I was in Charlotte'sville. So 527 00:29:04,040 --> 00:29:06,640 Speaker 1: having that pop up while covering this story is just 528 00:29:06,680 --> 00:29:08,840 Speaker 1: an extra twist of the knife. You know the fact 529 00:29:08,880 --> 00:29:12,080 Speaker 1: that I was paying attention, right, But the thing is, like, 530 00:29:12,120 --> 00:29:14,960 Speaker 1: there's video of this out there, there's photos. I'm in 531 00:29:15,040 --> 00:29:16,880 Speaker 1: a bunch of I've gotten close with a bunch of 532 00:29:16,880 --> 00:29:18,800 Speaker 1: the miner's wives, so I'm in a bunch of really 533 00:29:19,280 --> 00:29:21,520 Speaker 1: lit group chats, and I get set all this stuff. 534 00:29:22,040 --> 00:29:23,840 Speaker 1: Actually spoke to the wife of one of the guys 535 00:29:23,880 --> 00:29:26,160 Speaker 1: that got hurt the other day. You had to go 536 00:29:26,200 --> 00:29:30,160 Speaker 1: to the hospital with torn meniscus, I think, which sounds gnarly. 537 00:29:30,280 --> 00:29:33,920 Speaker 1: He was hit by the truck barreled into them and 538 00:29:33,920 --> 00:29:35,160 Speaker 1: they jumped out of the way, but it hit a 539 00:29:35,160 --> 00:29:37,440 Speaker 1: burnt like a real heavy burn barrel. They used to 540 00:29:37,840 --> 00:29:40,280 Speaker 1: have fires out there because the mosquitoes, because they there 541 00:29:40,280 --> 00:29:44,120 Speaker 1: all night, so a burn battle barrel just slammed into him. 542 00:29:44,160 --> 00:29:46,120 Speaker 1: And to go to the hospital. And I know that 543 00:29:46,160 --> 00:29:48,560 Speaker 1: they've been filing police reports. I know that the union 544 00:29:48,640 --> 00:29:52,360 Speaker 1: is preparing they you know, they they're collecting evidence and 545 00:29:52,360 --> 00:29:54,760 Speaker 1: they're going to try and do some stuff. But something 546 00:29:54,760 --> 00:29:57,000 Speaker 1: that stuck out to me, which of course will not 547 00:29:57,040 --> 00:30:00,200 Speaker 1: be a surprise, is the fact that multiple people were 548 00:30:00,240 --> 00:30:02,960 Speaker 1: there have told me, you know, the cops are always around, 549 00:30:02,960 --> 00:30:05,840 Speaker 1: but they didn't really seem to care, you know, like 550 00:30:05,880 --> 00:30:07,680 Speaker 1: we called them, we asked him for help, We pointed 551 00:30:07,680 --> 00:30:09,360 Speaker 1: out the like in one case, like oh, we we 552 00:30:09,480 --> 00:30:12,160 Speaker 1: point out he went that away, you know, real, go 553 00:30:12,280 --> 00:30:16,280 Speaker 1: get him. Coppers in the company locked around in circles 554 00:30:16,440 --> 00:30:20,320 Speaker 1: scratching their head. Okay, but like they didn't they didn't bother. 555 00:30:20,720 --> 00:30:24,880 Speaker 1: Like there's the thing is that some and this this 556 00:30:24,960 --> 00:30:27,040 Speaker 1: is hearsay, but a couple of folks on there told 557 00:30:27,040 --> 00:30:30,960 Speaker 1: me that apparently at first the local police, like from 558 00:30:31,000 --> 00:30:34,160 Speaker 1: the town, we're patrolling the picket lines. But apparently the 559 00:30:34,200 --> 00:30:38,240 Speaker 1: company got upset that they're being too nice to the 560 00:30:38,280 --> 00:30:40,920 Speaker 1: strikers and called in a favor and had the governor 561 00:30:41,040 --> 00:30:45,760 Speaker 1: send him state troopers who would be meaner. I I 562 00:30:45,760 --> 00:30:48,320 Speaker 1: don't know how I confirmed that, but it is. I 563 00:30:48,320 --> 00:30:52,480 Speaker 1: mean it makes sense. Yeah, yeah, I mean when and 564 00:30:52,560 --> 00:30:55,320 Speaker 1: whether or not state troopers are meaner than local depends 565 00:30:55,320 --> 00:30:58,000 Speaker 1: on your location. But that, um that come. I mean 566 00:30:58,000 --> 00:30:59,920 Speaker 1: that there's also like a long history of that. Right, 567 00:31:00,120 --> 00:31:04,400 Speaker 1: if you go back to the Blair Mountain, the local cops, uh, 568 00:31:04,480 --> 00:31:08,040 Speaker 1: we're like the like local cops were broadly supportive of 569 00:31:08,080 --> 00:31:10,480 Speaker 1: a lot of the strike efforts going on, whereas you 570 00:31:10,480 --> 00:31:12,680 Speaker 1: would bring in like National Guard or something to actually 571 00:31:12,720 --> 00:31:16,080 Speaker 1: crack down on ship. Right, cops have always been strike breakers, 572 00:31:16,120 --> 00:31:18,800 Speaker 1: but in these in these smaller communities like and this 573 00:31:18,800 --> 00:31:20,960 Speaker 1: is this is I can't says not like this is 574 00:31:20,960 --> 00:31:22,920 Speaker 1: a this is a small town. This is a small 575 00:31:22,960 --> 00:31:25,080 Speaker 1: everyone knows each other, so like the local cops is 576 00:31:25,080 --> 00:31:28,760 Speaker 1: probably like your friend Jerry's uncle. Like it's there's not 577 00:31:29,600 --> 00:31:33,360 Speaker 1: just connect but calling in outsiders that's who don't care 578 00:31:33,720 --> 00:31:36,239 Speaker 1: about who don't care and they're just there to make 579 00:31:36,280 --> 00:31:40,320 Speaker 1: overtime and make their company happy. Like and the company 580 00:31:40,320 --> 00:31:42,840 Speaker 1: also hired its own private arm security that are always 581 00:31:42,840 --> 00:31:45,600 Speaker 1: around for sure. That's fun. Yeah, which I think is 582 00:31:46,160 --> 00:31:50,720 Speaker 1: more the the future of these kind of these kind 583 00:31:50,760 --> 00:31:54,680 Speaker 1: of crackdowns, especially as because like, um, I don't know, 584 00:31:54,720 --> 00:31:56,640 Speaker 1: it's easier to get ship like t r O s 585 00:31:56,680 --> 00:31:59,720 Speaker 1: against police, but I don't like. One of the things 586 00:31:59,800 --> 00:32:01,800 Speaker 1: that's kind of unsettling to me. And I guess this 587 00:32:01,840 --> 00:32:05,280 Speaker 1: ties into what happened in Minneapolis recently is the fact 588 00:32:05,320 --> 00:32:08,760 Speaker 1: that the car ramming doesn't make the news anymore. Um, 589 00:32:08,760 --> 00:32:11,640 Speaker 1: it doesn't even really make the national news when somebody 590 00:32:11,760 --> 00:32:14,400 Speaker 1: kills a protester, you know, or with a car. It 591 00:32:14,400 --> 00:32:17,520 Speaker 1: hasn't happened to a striker yet, but it could. And 592 00:32:18,560 --> 00:32:21,000 Speaker 1: I see all the speculation online. I know this is 593 00:32:21,000 --> 00:32:23,960 Speaker 1: again particularly about Minneapolis, who just had a protester killed 594 00:32:24,120 --> 00:32:26,480 Speaker 1: in a car ramming. That it's like, you know, a 595 00:32:26,520 --> 00:32:29,080 Speaker 1: manufacturing of consent sort of thing. And I think maybe 596 00:32:29,080 --> 00:32:32,160 Speaker 1: even the darker possibility is just because we had it 597 00:32:32,240 --> 00:32:36,560 Speaker 1: happened once in Charlottesville, it's no longer news to people. 598 00:32:36,720 --> 00:32:38,320 Speaker 1: They just don't like, well, yeah, this is just a 599 00:32:38,320 --> 00:32:40,480 Speaker 1: thing that happens. People get rammed with cars when they're 600 00:32:40,480 --> 00:32:43,800 Speaker 1: trying to express basic rights, And why would I care 601 00:32:43,840 --> 00:32:46,720 Speaker 1: about that it happened. It's it's the mass shooting effect 602 00:32:46,800 --> 00:32:49,040 Speaker 1: right where it's like, oh there was another shooting. Well 603 00:32:49,040 --> 00:32:51,080 Speaker 1: it didn't happen near me. I don't know anyone involved, 604 00:32:51,080 --> 00:32:53,680 Speaker 1: Like I got to get back to my ship. Um. 605 00:32:54,480 --> 00:32:58,800 Speaker 1: There's Yeah, there's been such a push from circles of 606 00:32:58,840 --> 00:33:02,400 Speaker 1: like they're locking traffic, we should run them over. Like 607 00:33:02,480 --> 00:33:07,080 Speaker 1: it's not it's not not just like ignoring it. It's like, yeah, 608 00:33:07,400 --> 00:33:09,640 Speaker 1: pursuing it and promoting it. And it's saying like yeah, 609 00:33:09,720 --> 00:33:12,360 Speaker 1: like they're they're in the they're in the way. That's 610 00:33:12,480 --> 00:33:15,640 Speaker 1: that's what they asked, right, And there's all this legislation 611 00:33:15,680 --> 00:33:18,720 Speaker 1: that's been introduced that makes it fine to do that, 612 00:33:19,680 --> 00:33:22,960 Speaker 1: Like that's the that's something that I think has gotten 613 00:33:22,960 --> 00:33:24,880 Speaker 1: lost to Like there's a but like if everyone was 614 00:33:24,960 --> 00:33:26,800 Speaker 1: upset for five minutes we heard about it, that we 615 00:33:26,840 --> 00:33:30,240 Speaker 1: forgot because the hellscape we inhabit. But there's all these 616 00:33:30,280 --> 00:33:33,120 Speaker 1: laws on the books and multiple states where like, yeah, 617 00:33:33,200 --> 00:33:35,680 Speaker 1: you can do that, or there is either they've been 618 00:33:35,680 --> 00:33:38,360 Speaker 1: passed or they're trying to pass them, And like this 619 00:33:38,400 --> 00:33:41,320 Speaker 1: is getting people to pay attention to the South in 620 00:33:41,320 --> 00:33:45,080 Speaker 1: a place like rural Alabama is hard enough without just 621 00:33:45,400 --> 00:33:48,280 Speaker 1: like the fact that if this had happened in New 622 00:33:48,360 --> 00:33:50,479 Speaker 1: York City or l A or even Chicago and there 623 00:33:50,520 --> 00:33:53,160 Speaker 1: was a huge strike and multiple people have been hit 624 00:33:53,200 --> 00:33:56,200 Speaker 1: by cars and there was drone foot is showing it 625 00:33:56,240 --> 00:33:59,200 Speaker 1: and it was all over Twitter, like people would pay attention. 626 00:33:59,640 --> 00:34:02,200 Speaker 1: But if they're not paying attention to this happening in Alabama, 627 00:34:02,320 --> 00:34:05,400 Speaker 1: what else is going on that we're missing? You know, 628 00:34:05,720 --> 00:34:07,520 Speaker 1: if it doesn't make it to Twitter, if if like 629 00:34:07,560 --> 00:34:10,960 Speaker 1: a nosy journalist doesn't you know, catch interest in it, 630 00:34:11,000 --> 00:34:15,960 Speaker 1: like even happened? If eleven people go on strike and 631 00:34:16,000 --> 00:34:18,839 Speaker 1: no one's there to hear it didn't even happen? Yeah, 632 00:34:19,200 --> 00:34:33,160 Speaker 1: well together everything, don't you just mentioned something and having 633 00:34:33,239 --> 00:34:37,680 Speaker 1: to clarify from what I was reading. Um also not 634 00:34:37,760 --> 00:34:39,680 Speaker 1: that it matters. People should be paid a living wage 635 00:34:40,080 --> 00:34:44,520 Speaker 1: and have basic human rights and and and you know, 636 00:34:44,880 --> 00:34:52,279 Speaker 1: reasonable hours and demands, etcetera. But this isn't even They're 637 00:34:52,280 --> 00:34:57,799 Speaker 1: being paid way below what local other local mining companies 638 00:34:58,680 --> 00:35:02,640 Speaker 1: are paid, correct, Like standard for the area is much higher. 639 00:35:02,719 --> 00:35:05,920 Speaker 1: Like there's literally no leg to stand on. You've got 640 00:35:06,000 --> 00:35:11,279 Speaker 1: an investment capital hedge fund fucker's uh that swooped in 641 00:35:12,040 --> 00:35:14,520 Speaker 1: to put money cash into this business will then pay 642 00:35:14,600 --> 00:35:18,760 Speaker 1: the appropriate rate. I yeah, sorry, you can go clarify 643 00:35:19,160 --> 00:35:21,399 Speaker 1: now that that is accurate. There are three coal mines 644 00:35:21,440 --> 00:35:23,560 Speaker 1: in the area. One I came remember one in the names. 645 00:35:23,560 --> 00:35:27,560 Speaker 1: One's Oak Grove, and there's Warrior Met and where we met, 646 00:35:27,600 --> 00:35:29,920 Speaker 1: Like they are paid the lowest, to the point where 647 00:35:30,200 --> 00:35:33,680 Speaker 1: one of the highest wages at Warrior Met for a 648 00:35:33,680 --> 00:35:36,799 Speaker 1: typical worker is the same as the starting wage at 649 00:35:36,800 --> 00:35:40,120 Speaker 1: one of the other companies. And you hear about a 650 00:35:40,200 --> 00:35:42,000 Speaker 1: lot of people that work at wor Met leaving to 651 00:35:42,160 --> 00:35:43,880 Speaker 1: work at the other minds because they make more money. 652 00:35:43,960 --> 00:35:46,319 Speaker 1: But you know, there's only so many jobs. There's really 653 00:35:46,360 --> 00:35:48,760 Speaker 1: so many options. I mean the fact that these guys 654 00:35:48,800 --> 00:35:50,759 Speaker 1: I was talking to about the ys the other day 655 00:35:50,840 --> 00:35:53,640 Speaker 1: and she's telling me how there's people that they're just 656 00:35:53,719 --> 00:35:57,440 Speaker 1: making twenty two bucks an hour, which, yeah, it's higher 657 00:35:57,440 --> 00:36:00,359 Speaker 1: than fifteen or the minimum wage. But these of people 658 00:36:00,360 --> 00:36:04,200 Speaker 1: that are working two thousand feet underground, twelve hours a day, 659 00:36:04,400 --> 00:36:06,600 Speaker 1: six days a week in the one of the deepest 660 00:36:06,640 --> 00:36:09,760 Speaker 1: minds in North America, which is also full of methane 661 00:36:09,800 --> 00:36:14,560 Speaker 1: gas and had an exposure. Yeah, yeah, it's really you know, 662 00:36:15,080 --> 00:36:17,840 Speaker 1: coal mining is not an easy job, even if you 663 00:36:17,880 --> 00:36:20,319 Speaker 1: have a reasonably safe mind, like black lung is on 664 00:36:20,400 --> 00:36:23,840 Speaker 1: the rise, you know, it's it's sort of this whole 665 00:36:24,560 --> 00:36:27,840 Speaker 1: spread out community and profession that's sort of been forgotten 666 00:36:27,840 --> 00:36:31,000 Speaker 1: by most people, and that makes it so much easier 667 00:36:31,040 --> 00:36:34,840 Speaker 1: for bosses and people in the powerful employing classes to 668 00:36:34,960 --> 00:36:37,839 Speaker 1: exploit them and to beat them up and treat them 669 00:36:37,840 --> 00:36:40,520 Speaker 1: like trash, because if no one else cares about coal miners, 670 00:36:41,000 --> 00:36:42,719 Speaker 1: you know, no one's going to stand out for and 671 00:36:42,760 --> 00:36:45,440 Speaker 1: be like, well, yeah, their job is not We're prefraid 672 00:36:45,480 --> 00:36:47,960 Speaker 1: they didn't have to do it, but since they do, 673 00:36:48,120 --> 00:36:50,880 Speaker 1: maybe we could send up for them too. You know. 674 00:36:52,880 --> 00:36:54,600 Speaker 1: It is interesting. I was like, how you mentioned at 675 00:36:54,640 --> 00:36:57,160 Speaker 1: the beginning of a lot of these these people are 676 00:36:57,400 --> 00:37:02,040 Speaker 1: Trump supporters, you know, coming from different background than I 677 00:37:02,040 --> 00:37:05,160 Speaker 1: would assume all of us here talking about this today. Yeah, 678 00:37:06,160 --> 00:37:09,439 Speaker 1: I mean it's not it's one of the Yeah, it's 679 00:37:09,440 --> 00:37:11,719 Speaker 1: one of those things where it's like I think, you know, 680 00:37:12,040 --> 00:37:16,560 Speaker 1: mainstream media, particularly right after, tended to over emphasize the 681 00:37:16,600 --> 00:37:20,080 Speaker 1: poor working class support that Trump gets, but like, especially 682 00:37:20,120 --> 00:37:24,279 Speaker 1: if you're looking at fucking I totally get being like, well, 683 00:37:24,320 --> 00:37:28,200 Speaker 1: the fucking Democrats aren't doing anything to make life easier there, 684 00:37:28,280 --> 00:37:31,919 Speaker 1: to help me, like organizeing like yeah, like like why 685 00:37:31,960 --> 00:37:35,239 Speaker 1: not try something different? Like those are again not the 686 00:37:35,280 --> 00:37:37,719 Speaker 1: core of his base or the both of his base, 687 00:37:37,760 --> 00:37:39,160 Speaker 1: but they're the people where I'm like, yeah, I mean, 688 00:37:39,160 --> 00:37:42,239 Speaker 1: fun vote for anything different because he wasn't also wasn't 689 00:37:42,280 --> 00:37:45,560 Speaker 1: a Republican. It's like Democrats are helping Republicans aren't helping 690 00:37:45,640 --> 00:37:50,239 Speaker 1: this guy might he's yeah, he doesn't represent the establishment 691 00:37:50,320 --> 00:37:55,680 Speaker 1: that does not pay attention. Um mean but right, And 692 00:37:55,719 --> 00:37:59,720 Speaker 1: he talked a lot about Cole like I spoke, there's 693 00:37:59,080 --> 00:38:02,600 Speaker 1: a guy a full beautiful clean coal yeah, which and 694 00:38:02,640 --> 00:38:05,799 Speaker 1: it's so funny and that it actually isn't. It's just depressing, 695 00:38:05,880 --> 00:38:08,800 Speaker 1: is that all of these Republican politicians who loved trotting 696 00:38:08,800 --> 00:38:11,520 Speaker 1: out coal miners as props during election years and talking 697 00:38:11,560 --> 00:38:15,040 Speaker 1: about coal and shooting down clean energy legislation. None of 698 00:38:15,040 --> 00:38:18,239 Speaker 1: them are coming out, tell me tubervillain tweeting about these 699 00:38:18,280 --> 00:38:20,839 Speaker 1: guys are sending piece to the picket lines, you know, 700 00:38:20,920 --> 00:38:23,120 Speaker 1: like they don't give a ship. I remember talking to 701 00:38:23,160 --> 00:38:25,919 Speaker 1: one of the miners, this really lovely guy. I had 702 00:38:25,920 --> 00:38:29,120 Speaker 1: a great conversation in the moment you just volunteered, like, yeah, 703 00:38:29,400 --> 00:38:31,279 Speaker 1: I was happy that Trump got in and no, no, 704 00:38:31,360 --> 00:38:33,879 Speaker 1: not everybody agrees, but that's how I feel. And when 705 00:38:33,880 --> 00:38:35,920 Speaker 1: he came in, the coal prices went up, and the 706 00:38:35,960 --> 00:38:38,319 Speaker 1: boss has made a ton of money. And I asked him, 707 00:38:38,360 --> 00:38:40,440 Speaker 1: you know, well did you guys see any of that money? 708 00:38:40,800 --> 00:38:43,839 Speaker 1: He's like, well, well no, ma'am. Like, well, perhaps that's 709 00:38:43,840 --> 00:38:47,720 Speaker 1: a conversation for another day. So I guess I am curious. 710 00:38:47,719 --> 00:38:49,440 Speaker 1: It was kind of building to it is like, do 711 00:38:49,480 --> 00:38:53,200 Speaker 1: you see any shifting and ideology or not ideology that's 712 00:38:53,200 --> 00:38:57,760 Speaker 1: even too strong, But um, a frustration with people in general. 713 00:38:57,760 --> 00:39:00,280 Speaker 1: Are not just Democrats. Do you see any shifting or aware? Honest, 714 00:39:00,400 --> 00:39:04,439 Speaker 1: I guess that Republicans are also failing them. I think 715 00:39:04,520 --> 00:39:09,839 Speaker 1: people are surprised that. I think the Incnation getting from 716 00:39:09,840 --> 00:39:11,640 Speaker 1: a lot of people is that they're kind of surprised 717 00:39:11,640 --> 00:39:13,479 Speaker 1: that no one has showed up to talk to them. 718 00:39:13,800 --> 00:39:15,960 Speaker 1: And I think they're really surprised and upset at the 719 00:39:16,040 --> 00:39:18,640 Speaker 1: lack of media coverage. But to them, the media coverage 720 00:39:18,680 --> 00:39:21,680 Speaker 1: that they want maybe necessarily isn't the Nation or this 721 00:39:21,760 --> 00:39:25,359 Speaker 1: kind of podcast, like where's Fox News? Honestly fuck him 722 00:39:25,360 --> 00:39:28,319 Speaker 1: to hell him back? But where's Tucer Carlson? If there there, 723 00:39:28,320 --> 00:39:30,640 Speaker 1: if there wasn't a union aspect to this, this would 724 00:39:30,680 --> 00:39:34,080 Speaker 1: be catnip to his base. A bunch of like blue collar, gritty, 725 00:39:34,160 --> 00:39:37,960 Speaker 1: hard working American white people standing up against the the elites, 726 00:39:38,440 --> 00:39:41,480 Speaker 1: like they love that ship. But the fact that they're 727 00:39:41,640 --> 00:39:44,800 Speaker 1: union and they're proudly union, that Fox with the narrative 728 00:39:44,880 --> 00:39:47,880 Speaker 1: that complicates it and that makes them radioactive for that 729 00:39:48,000 --> 00:39:51,279 Speaker 1: strange conservative ghoul, like you can't be out here saying 730 00:39:51,280 --> 00:39:54,040 Speaker 1: that unions are good. That's an interesting tension I've seen 731 00:39:54,080 --> 00:39:58,480 Speaker 1: down there because like this is not Uh, they're probably 732 00:39:58,480 --> 00:40:01,560 Speaker 1: not that many people that voted for Biden in that whole, 733 00:40:02,040 --> 00:40:03,719 Speaker 1: in that area, and if they were, they probably won't 734 00:40:03,719 --> 00:40:05,239 Speaker 1: tell you about it because it's probably too much of 735 00:40:05,239 --> 00:40:08,000 Speaker 1: a headache, but even it was interesting being among union 736 00:40:08,080 --> 00:40:10,600 Speaker 1: leadership and with like in the union hall and being 737 00:40:10,600 --> 00:40:13,319 Speaker 1: in a place that I'm used to thinking of. It's 738 00:40:13,400 --> 00:40:16,799 Speaker 1: kind of a baseline progressive baseline, like they'll probably even 739 00:40:16,840 --> 00:40:20,520 Speaker 1: nominally support whatever garbage Democrats around, but that's not really 740 00:40:20,520 --> 00:40:23,520 Speaker 1: the case because why would they, you know, the the 741 00:40:23,600 --> 00:40:26,520 Speaker 1: political landscape just and this is just going off my 742 00:40:26,680 --> 00:40:30,160 Speaker 1: conversation's interactions with people. It seems like tons of people 743 00:40:30,200 --> 00:40:33,279 Speaker 1: are conservative, but they're not you know, worried about the 744 00:40:33,400 --> 00:40:36,320 Speaker 1: trade deficit or whatever. They don't care about what politicians 745 00:40:36,360 --> 00:40:38,960 Speaker 1: are doing. They care about, you know, their values of 746 00:40:39,239 --> 00:40:41,800 Speaker 1: a lot of people are very religious, very Christian. A 747 00:40:41,800 --> 00:40:43,480 Speaker 1: lot of people have guns, a lot of people care 748 00:40:43,480 --> 00:40:46,520 Speaker 1: about the Bible. There's a lot of things in that 749 00:40:46,600 --> 00:40:49,799 Speaker 1: realm of conservative thought that appealed to that the area 750 00:40:49,800 --> 00:40:51,480 Speaker 1: because like, that's what you're up in. There's you're not 751 00:40:51,480 --> 00:40:54,279 Speaker 1: gonna come across my jails. Like that's just that's how 752 00:40:54,320 --> 00:40:57,160 Speaker 1: it is. But I don't think they're really I mean, 753 00:40:57,640 --> 00:40:59,960 Speaker 1: one of my wives does send me Sean Hannity videos, 754 00:41:00,080 --> 00:41:02,919 Speaker 1: But besides that, I don't know how much those weird 755 00:41:02,960 --> 00:41:06,319 Speaker 1: culture war stuff is man. It seems like a really 756 00:41:06,400 --> 00:41:10,440 Speaker 1: good opportunity for Democrats to do the opposite right now 757 00:41:10,920 --> 00:41:13,440 Speaker 1: and Biden in general specifically to come in and make 758 00:41:13,480 --> 00:41:16,759 Speaker 1: this an issue and talk about it, bring light, you 759 00:41:16,800 --> 00:41:20,880 Speaker 1: know what I mean. I don't know. Maybe they might 760 00:41:20,920 --> 00:41:22,719 Speaker 1: not want to talk to them, but if somebody came 761 00:41:22,719 --> 00:41:24,839 Speaker 1: in and was saying this is a problem and we 762 00:41:24,880 --> 00:41:27,920 Speaker 1: need to protect our workers in blah blah blah, I 763 00:41:27,920 --> 00:41:30,319 Speaker 1: don't know. I don't know. There is an opportunity they 764 00:41:30,360 --> 00:41:34,000 Speaker 1: think for politicians to if you craft the message and 765 00:41:34,040 --> 00:41:36,319 Speaker 1: convey in a way that makes sense and doesn't come 766 00:41:36,320 --> 00:41:39,960 Speaker 1: off fake or as like liberal slogan earing like there's 767 00:41:40,160 --> 00:41:43,160 Speaker 1: because there is so much potential, like when you're speaking 768 00:41:43,200 --> 00:41:46,359 Speaker 1: with people, like they made a lot of people there 769 00:41:46,480 --> 00:41:49,960 Speaker 1: might like hate socialism or whatever, but they're hating socialism 770 00:41:49,960 --> 00:41:52,359 Speaker 1: in the middle of their strike as part of their 771 00:41:52,440 --> 00:41:54,439 Speaker 1: labor union, when they're going to the rallies and picking 772 00:41:54,480 --> 00:41:57,160 Speaker 1: up their strike checks and their free groceries. But they 773 00:41:57,160 --> 00:42:01,560 Speaker 1: hate socialism like it's a bring and there's there is 774 00:42:01,600 --> 00:42:05,959 Speaker 1: an opportunity, I think, but the problem is that it's 775 00:42:06,000 --> 00:42:09,759 Speaker 1: all and the reason like right, Tucker Carlson isn't going 776 00:42:09,800 --> 00:42:11,719 Speaker 1: to dive into this. Fox News isn't going to dive 777 00:42:11,760 --> 00:42:15,359 Speaker 1: into this is because, um, the right has built all 778 00:42:15,400 --> 00:42:18,080 Speaker 1: of its present strength on culture warship. That's why they're 779 00:42:18,080 --> 00:42:20,360 Speaker 1: never going to say anything about these miners being mysteried. 780 00:42:20,360 --> 00:42:22,480 Speaker 1: But they're going to scream about critical race theory till 781 00:42:22,520 --> 00:42:24,120 Speaker 1: the end of the day because that's what works for them. 782 00:42:24,520 --> 00:42:31,120 Speaker 1: You because they were doing it. Yeah, you get if 783 00:42:31,160 --> 00:42:34,800 Speaker 1: people are angry, and they're angry about these cultural issues 784 00:42:34,840 --> 00:42:37,520 Speaker 1: that they've been convinced exist, then all you need to 785 00:42:37,520 --> 00:42:40,879 Speaker 1: do is continue to push that sore spot in their 786 00:42:40,920 --> 00:42:43,439 Speaker 1: body that makes the anger come because they don't care 787 00:42:43,520 --> 00:42:45,960 Speaker 1: if there are people, a lot of folks will not 788 00:42:46,120 --> 00:42:49,120 Speaker 1: think about their interests as much as think about voting 789 00:42:49,160 --> 00:42:50,759 Speaker 1: against the thing that makes them angry. That's how the 790 00:42:50,840 --> 00:42:55,359 Speaker 1: GOP works, and that's intermittently how the Democrats work. Um, 791 00:42:55,520 --> 00:42:57,640 Speaker 1: because they do it too. They're less good at it, 792 00:42:58,120 --> 00:43:01,719 Speaker 1: they do it less comprehensively. But I think you know, 793 00:43:01,840 --> 00:43:04,360 Speaker 1: the reality is that there is an opportunity in the 794 00:43:04,440 --> 00:43:06,839 Speaker 1: United States to pull a lot of people away from 795 00:43:06,920 --> 00:43:10,640 Speaker 1: voting for these far rights and in some cases quasi 796 00:43:10,640 --> 00:43:14,600 Speaker 1: fascist politicians and policies. If you were to focus on 797 00:43:14,719 --> 00:43:17,240 Speaker 1: dealing with their needs. And if you were to focus 798 00:43:17,280 --> 00:43:20,400 Speaker 1: on the grievances they have that are legitimate. Um, but 799 00:43:20,480 --> 00:43:25,760 Speaker 1: it would require a political organization that did not function 800 00:43:26,000 --> 00:43:29,480 Speaker 1: the way it is increasingly profitable to function. Because part 801 00:43:29,520 --> 00:43:32,360 Speaker 1: of the reason why both the Democrats and the Republicans 802 00:43:32,400 --> 00:43:36,000 Speaker 1: spend so much time pushing these anger button issues rather 803 00:43:36,040 --> 00:43:39,239 Speaker 1: than policy issues is because the anger button issues bring 804 00:43:39,239 --> 00:43:42,520 Speaker 1: in the donations, and more importantly, they go viral on 805 00:43:42,560 --> 00:43:44,960 Speaker 1: the fucking news, which is what brings in the donations 806 00:43:44,960 --> 00:43:48,520 Speaker 1: and what gets people agitated and what keeps a politician 807 00:43:48,600 --> 00:43:51,399 Speaker 1: in the news as opposed to actually trying to help 808 00:43:51,560 --> 00:44:00,120 Speaker 1: people's material conditions, which is hard and boring. Um. Yeah, anyway, 809 00:44:00,320 --> 00:44:03,319 Speaker 1: that's true. I mean, this is a golden opportunity for well, 810 00:44:03,360 --> 00:44:06,120 Speaker 1: there's an organization and politician at someone who wants to 811 00:44:06,239 --> 00:44:08,279 Speaker 1: people to listen to them, to show up and be like, look, 812 00:44:08,640 --> 00:44:11,040 Speaker 1: let's leave, let's maybe not talk about the Democrat Republican 813 00:44:11,080 --> 00:44:12,880 Speaker 1: stuff whatever, Let's talk about what do you need, what 814 00:44:12,960 --> 00:44:15,719 Speaker 1: are you fighting for, what would help you, what would 815 00:44:15,880 --> 00:44:19,560 Speaker 1: help your children? Because almost I think of the people 816 00:44:19,560 --> 00:44:22,399 Speaker 1: that work in that minor parents, you know, right now, 817 00:44:22,440 --> 00:44:26,040 Speaker 1: the auxiliary is collecting donations for school supplies for back 818 00:44:26,040 --> 00:44:29,680 Speaker 1: to school, they're planning, they're already making plans for a 819 00:44:29,760 --> 00:44:31,920 Speaker 1: Christmas toy drive because they're worried they're going to be 820 00:44:31,920 --> 00:44:35,319 Speaker 1: out there that long. Like yeah, like they're they're in 821 00:44:35,320 --> 00:44:37,759 Speaker 1: it for the long haul. They're really determined, but they're 822 00:44:37,800 --> 00:44:41,799 Speaker 1: really not getting any help from outside the movement. And 823 00:44:41,840 --> 00:44:44,359 Speaker 1: it's a big labor movement, but there's only so much 824 00:44:44,440 --> 00:44:48,439 Speaker 1: you can do. It's the kind of thing where, yeah, 825 00:44:48,480 --> 00:44:51,680 Speaker 1: if there was a critical, credible political organization who is 826 00:44:51,680 --> 00:44:53,520 Speaker 1: able to go to these people and be like, hey, look, 827 00:44:53,560 --> 00:44:55,480 Speaker 1: I'm not going to compromise on trans right, so I'm 828 00:44:55,480 --> 00:44:57,479 Speaker 1: not going to compromise on climate change, but I'm gonna 829 00:44:57,480 --> 00:44:59,200 Speaker 1: find a way to put an extra twenty grand into 830 00:44:59,239 --> 00:45:01,080 Speaker 1: your pocket this year so that you and your kids 831 00:45:01,080 --> 00:45:06,760 Speaker 1: struggle less. Um. I think that would uh, even if 832 00:45:07,000 --> 00:45:09,600 Speaker 1: it was just someone willing to actually commit to that fight. 833 00:45:09,680 --> 00:45:11,680 Speaker 1: I think that's the kind of that's the kind of 834 00:45:12,320 --> 00:45:15,680 Speaker 1: you know, political I don't know, leadership, whatever fucking term 835 00:45:15,719 --> 00:45:18,760 Speaker 1: you want to use, that's necessary to pull this country 836 00:45:18,800 --> 00:45:22,160 Speaker 1: back from the brink, is coming to people and saying like, 837 00:45:22,320 --> 00:45:25,279 Speaker 1: not this thing that you hear increasingly to on like 838 00:45:25,320 --> 00:45:27,279 Speaker 1: really frustrating chunks of the left where it's like, well, 839 00:45:27,280 --> 00:45:29,160 Speaker 1: we need to sit down and talk with the fascists, 840 00:45:29,160 --> 00:45:30,719 Speaker 1: and it's like, no, no, no no, that's not what you 841 00:45:30,719 --> 00:45:32,000 Speaker 1: need to do. You need to go sit down with 842 00:45:32,040 --> 00:45:34,760 Speaker 1: these people who are not fascists. They may like Tucker 843 00:45:34,800 --> 00:45:38,000 Speaker 1: Carlson because he pushes their anger button, but at the 844 00:45:38,080 --> 00:45:39,600 Speaker 1: end of the day, the fact that they're willing to 845 00:45:39,680 --> 00:45:43,160 Speaker 1: organize and unionize and strike means that they have some 846 00:45:43,200 --> 00:45:44,920 Speaker 1: things in common with you, and you can sit them 847 00:45:44,960 --> 00:45:46,400 Speaker 1: down and say this is what I'm not willing to 848 00:45:46,400 --> 00:45:49,759 Speaker 1: compromise on, this is what I'm willing to help you with. Um. 849 00:45:49,840 --> 00:45:54,080 Speaker 1: And the thing that is a continual lesson in political history, 850 00:45:54,239 --> 00:45:58,040 Speaker 1: in the history of insurgencies, and the history of conflicts, 851 00:45:58,080 --> 00:46:01,759 Speaker 1: both military and not is if you help people's material conditions, 852 00:46:02,040 --> 00:46:04,319 Speaker 1: they tend to be down with you, and they don't 853 00:46:04,400 --> 00:46:09,000 Speaker 1: tend to care about much else. Um anyway, Well, because 854 00:46:09,000 --> 00:46:11,239 Speaker 1: it's so hard to survive in this country as a 855 00:46:11,280 --> 00:46:14,239 Speaker 1: normal working class person that like a lot of people 856 00:46:14,239 --> 00:46:17,160 Speaker 1: don't necessarily have time to worry about a lot of 857 00:46:17,160 --> 00:46:19,839 Speaker 1: this ship and then but in their downtime, maybe they 858 00:46:19,840 --> 00:46:21,759 Speaker 1: watch the news to keep up with what's going on. 859 00:46:21,840 --> 00:46:25,640 Speaker 1: That's when they get all the anger button pushing stuff filtered. 860 00:46:25,640 --> 00:46:27,440 Speaker 1: In most of the time, they're just trying to survive. 861 00:46:27,640 --> 00:46:29,840 Speaker 1: And if you make it easier for people to survive, 862 00:46:30,280 --> 00:46:32,080 Speaker 1: they're gonna be a lot more willing to listen to 863 00:46:32,120 --> 00:46:35,719 Speaker 1: you if they're not starving and exhausted and terrified. Yeah, exactly. 864 00:46:36,239 --> 00:46:41,000 Speaker 1: And on the I keep thinking back to um. I 865 00:46:41,320 --> 00:46:44,120 Speaker 1: keep thinking back to Transorates in particular, because I've been 866 00:46:44,120 --> 00:46:46,200 Speaker 1: having some conversations with people that will be along the 867 00:46:46,200 --> 00:46:48,680 Speaker 1: lines of like, well, you know, because we've had we've 868 00:46:48,680 --> 00:46:50,400 Speaker 1: had episodes in this show where we've talked about the 869 00:46:50,400 --> 00:46:51,960 Speaker 1: need to talk to people on the other side, and 870 00:46:52,000 --> 00:46:54,120 Speaker 1: I think it gets misinterpreted sometimes it's like, oh, so 871 00:46:54,160 --> 00:46:56,080 Speaker 1: we need to compromise with these people who want to 872 00:46:56,120 --> 00:46:58,279 Speaker 1: put us in prisoner, who pushing all these bills, And 873 00:46:58,280 --> 00:47:00,680 Speaker 1: it's like, no, no, no no, that's not what's going on. 874 00:47:00,760 --> 00:47:02,120 Speaker 1: And I don't know if it was you was it 875 00:47:02,160 --> 00:47:06,440 Speaker 1: you were talking to me about whales, kim um Like 876 00:47:06,560 --> 00:47:09,520 Speaker 1: the part of the part of the UK uh yeah. 877 00:47:09,520 --> 00:47:14,480 Speaker 1: The place so there was her face is that is 878 00:47:14,520 --> 00:47:18,480 Speaker 1: that there is a shot among the older population in Wales, 879 00:47:18,600 --> 00:47:22,200 Speaker 1: there's a shocking amount of support for the LGBT community 880 00:47:22,280 --> 00:47:26,200 Speaker 1: because because of the minor STI there's a minor strike 881 00:47:26,280 --> 00:47:28,960 Speaker 1: like forty something years ago, and these people were getting 882 00:47:28,960 --> 00:47:31,200 Speaker 1: cracked down on by the local government and by the 883 00:47:31,200 --> 00:47:34,360 Speaker 1: people in the surrounding areas, and they were starving and 884 00:47:34,400 --> 00:47:36,520 Speaker 1: didn't We're going to have to give up their strike 885 00:47:36,600 --> 00:47:39,560 Speaker 1: because they didn't have enough fucking funds to feed themselves. 886 00:47:39,560 --> 00:47:42,200 Speaker 1: And you can't strike forever if you can't feed your family. 887 00:47:42,640 --> 00:47:46,880 Speaker 1: And the local gay community put together donations and brought 888 00:47:46,920 --> 00:47:49,239 Speaker 1: them like kept them going, and they were able to 889 00:47:49,280 --> 00:47:52,799 Speaker 1: continue their strike, and as a result, people from that 890 00:47:52,880 --> 00:47:55,800 Speaker 1: generation we're like, well, you know, whatever I felt about 891 00:47:55,800 --> 00:47:59,560 Speaker 1: it before, these are the people who kept me fed. Um. Yeah, 892 00:47:59,600 --> 00:48:02,399 Speaker 1: there's a movie about it called Pride. It'll make you cry, 893 00:48:02,960 --> 00:48:05,960 Speaker 1: all right, yeah, okay, so yeah, check out fucking Pride. 894 00:48:05,960 --> 00:48:07,799 Speaker 1: That's that's what I'm talking about. I'm not talking about 895 00:48:07,840 --> 00:48:12,359 Speaker 1: compromising with people who want to do regressive things. I'm 896 00:48:12,400 --> 00:48:15,680 Speaker 1: talking about meeting people where they are and helping them 897 00:48:15,800 --> 00:48:19,279 Speaker 1: so that you can actually build a better world and 898 00:48:19,320 --> 00:48:22,680 Speaker 1: also make make make them less shitty about the things 899 00:48:22,719 --> 00:48:25,959 Speaker 1: that maybe they haven't thought about enough because again they're 900 00:48:25,960 --> 00:48:30,080 Speaker 1: trying to survive in a mining town whatever, Like yeah, 901 00:48:30,239 --> 00:48:33,480 Speaker 1: connecting on that human level, like not allowing any egregious 902 00:48:33,480 --> 00:48:36,359 Speaker 1: bullshit to slide, but being like, look like I think 903 00:48:36,360 --> 00:48:38,440 Speaker 1: of myself, Like I came down here there, and I'm 904 00:48:38,480 --> 00:48:42,239 Speaker 1: like this pierced uf tattooed Yankee anarchists. I look like this, 905 00:48:42,360 --> 00:48:44,360 Speaker 1: Well we just can't see me, but I look ridiculous. 906 00:48:44,520 --> 00:48:46,720 Speaker 1: And I show up and I clear very Kim Kelly, 907 00:48:46,760 --> 00:48:50,640 Speaker 1: look to you. I stick out a little bit, you know, 908 00:48:50,719 --> 00:48:52,520 Speaker 1: and I showed up and at first like what is 909 00:48:52,600 --> 00:48:57,200 Speaker 1: this creature appearing here? But being it's so silly and 910 00:48:57,280 --> 00:49:00,839 Speaker 1: so simple, but being nice to people, listening to them 911 00:49:01,000 --> 00:49:04,160 Speaker 1: and showing respect goes a long way. Like even if 912 00:49:04,200 --> 00:49:06,399 Speaker 1: you stick out a little bit, and even if they 913 00:49:06,400 --> 00:49:08,719 Speaker 1: say some stuff where you're like okay, like things that 914 00:49:08,760 --> 00:49:10,560 Speaker 1: aren't egregious, but you're like, well, I don't know about 915 00:49:10,560 --> 00:49:13,000 Speaker 1: all that, Like maybe you don't need to push them 916 00:49:13,040 --> 00:49:15,200 Speaker 1: that far right then, but you can bring it up later. 917 00:49:15,320 --> 00:49:18,800 Speaker 1: Like it's such a it's so basic, but treating people 918 00:49:18,840 --> 00:49:22,600 Speaker 1: who are different from you like people really seems to work. 919 00:49:23,640 --> 00:49:28,000 Speaker 1: You know. It's that we're all humans and we all 920 00:49:28,040 --> 00:49:31,200 Speaker 1: have a humanity that we can appeal to. Again, that 921 00:49:31,360 --> 00:49:34,280 Speaker 1: is not letting the bullshit or the egregious stuff slide. 922 00:49:34,400 --> 00:49:37,520 Speaker 1: It's coming at it's coming at and meeting people where 923 00:49:37,520 --> 00:49:39,839 Speaker 1: they are right now. That's the thing, not like a 924 00:49:39,840 --> 00:49:43,400 Speaker 1: liberal kumbaya. You have to I listen, I hear you like, no, 925 00:49:43,600 --> 00:49:45,879 Speaker 1: just shut up and be like, oh, so what's your deal? 926 00:49:46,400 --> 00:49:49,839 Speaker 1: What's your life? Like? Oh, that reminds me, And then 927 00:49:49,920 --> 00:49:52,400 Speaker 1: you start to find the common ground. Then you start 928 00:49:52,440 --> 00:49:54,439 Speaker 1: to find the things that we can agree on. Oh, 929 00:49:54,560 --> 00:49:58,400 Speaker 1: like you need you deserve a living wage. How do 930 00:49:58,480 --> 00:50:01,800 Speaker 1: we go about fixing that, planting those sort of seeds? 931 00:50:01,840 --> 00:50:03,839 Speaker 1: Like you were saying that guy you talked to like, 932 00:50:03,880 --> 00:50:07,480 Speaker 1: well did you get any of that money? Right? Well, 933 00:50:07,640 --> 00:50:12,800 Speaker 1: what does that mean? Yeah? I was just gonna say. 934 00:50:12,960 --> 00:50:15,400 Speaker 1: If you're listening and you're interested in supporting these folks, 935 00:50:15,640 --> 00:50:17,799 Speaker 1: there are a couple different ways to donate. They have 936 00:50:17,840 --> 00:50:20,440 Speaker 1: a strike fund, which is, you know what is paid 937 00:50:20,440 --> 00:50:22,600 Speaker 1: out every two weeks to the workers right now, they 938 00:50:22,600 --> 00:50:25,920 Speaker 1: get about six fifty bucks every two weeks, which is, 939 00:50:26,040 --> 00:50:28,480 Speaker 1: you know, it goes a little farther in Brooklyn than 940 00:50:28,480 --> 00:50:30,399 Speaker 1: it does in Brooklyn, but still doesn't go that far. 941 00:50:30,800 --> 00:50:33,719 Speaker 1: And there's also donation links from the auxiliary and they're 942 00:50:33,719 --> 00:50:35,799 Speaker 1: the ones who have organized the strike pantry. They're the 943 00:50:35,800 --> 00:50:37,840 Speaker 1: ones who are going to Costco every week and buying 944 00:50:37,920 --> 00:50:41,080 Speaker 1: up you know, macaroni and cheese and canned goods and 945 00:50:41,120 --> 00:50:43,359 Speaker 1: making up grocery bags for the families and the kids. 946 00:50:43,600 --> 00:50:47,239 Speaker 1: So if you want to support materially, those are ways 947 00:50:47,280 --> 00:50:50,919 Speaker 1: you can do it. Awesome less community aid Um. Thank 948 00:50:50,960 --> 00:50:52,560 Speaker 1: you again so much for your time, and tell our 949 00:50:52,560 --> 00:50:55,880 Speaker 1: listeners where they can find you online and follow your work. Okay, 950 00:50:55,920 --> 00:50:59,399 Speaker 1: I am unfortunately very on Twitter and the grim Kim 951 00:50:59,760 --> 00:51:02,120 Speaker 1: because I was a heavy metal reporter before I did 952 00:51:02,160 --> 00:51:04,759 Speaker 1: any of this stuff, and I have a petron I 953 00:51:04,800 --> 00:51:07,799 Speaker 1: contribute to all sorts of places, and yeah, just just 954 00:51:07,920 --> 00:51:09,879 Speaker 1: follow me on Twitter. I'm sorry, but that's the best 955 00:51:09,920 --> 00:51:13,920 Speaker 1: way to find No apologies, that's perfectly acceptable. That's what 956 00:51:13,960 --> 00:51:18,880 Speaker 1: we all do. It's embarrassing, but so is there. No, 957 00:51:19,640 --> 00:51:24,760 Speaker 1: we all have problems with Twitter. We're all miserable one 958 00:51:25,360 --> 00:51:26,960 Speaker 1: but it brought us together, so it's got to be 959 00:51:27,040 --> 00:51:30,759 Speaker 1: worse actly. Thank you again, Kin Well, we'll talk to 960 00:51:30,800 --> 00:51:33,000 Speaker 1: you soon. Thank you so much. You guys are great. Thanks. 961 00:51:34,200 --> 00:51:38,640 Speaker 1: Ah well, that was a great episode. Um I would 962 00:51:38,680 --> 00:51:42,120 Speaker 1: I would go so far to say journalism that reaches 963 00:51:42,200 --> 00:51:47,080 Speaker 1: the rarefied levels of the Wicki feat guys very close, 964 00:51:47,360 --> 00:51:52,719 Speaker 1: very close. Um, well that's gonna do it for us 965 00:51:52,719 --> 00:51:58,880 Speaker 1: here at the worst year ever. Um and uh go um, 966 00:51:59,080 --> 00:52:03,400 Speaker 1: I don't know, support those fun fund I was going 967 00:52:03,440 --> 00:52:05,839 Speaker 1: to say, stalk Jeff Bezos with a drone, but yeah, 968 00:52:05,920 --> 00:52:09,040 Speaker 1: that's less illegal. Um, you got to get a drone 969 00:52:09,040 --> 00:52:12,680 Speaker 1: that can fly straight to space and be honest about 970 00:52:12,719 --> 00:52:15,960 Speaker 1: his feet. Yeah, let us know, give that's what we 971 00:52:16,000 --> 00:52:18,200 Speaker 1: need to know the people. I don't think. Let me 972 00:52:18,200 --> 00:52:20,120 Speaker 1: see if Jeff Bezos has a Wicki feet page. We're 973 00:52:20,160 --> 00:52:26,320 Speaker 1: gonna do some live journalism here, journalism I mean the words. 974 00:52:26,640 --> 00:52:29,000 Speaker 1: Oh my god, yeah there is. There's Wicky feet men. 975 00:52:29,480 --> 00:52:32,400 Speaker 1: First off, there's Wicki feet Men, which is very progressive, 976 00:52:32,560 --> 00:52:36,680 Speaker 1: very proud, and yes, Jeff Bezos has a Wicki feet page. 977 00:52:36,920 --> 00:52:42,320 Speaker 1: He has two and a half stars. Oh my god, 978 00:52:42,520 --> 00:52:47,239 Speaker 1: I am all about this ship because right underneath the 979 00:52:47,880 --> 00:52:50,160 Speaker 1: I have to say, not nearly as many pictures of 980 00:52:50,200 --> 00:52:53,080 Speaker 1: Jeff bezoss naked feet, well mostly just him wearing sandals. 981 00:52:53,080 --> 00:52:55,040 Speaker 1: A couple of naked feet pictures. I said, mostly when 982 00:52:55,040 --> 00:52:57,600 Speaker 1: he's on vacations. Not as many as you'd expect. But 983 00:52:57,760 --> 00:53:01,440 Speaker 1: underneath that is people who liked Jeff Bezos feet also 984 00:53:01,560 --> 00:53:08,440 Speaker 1: liked George Clooney, John Harry All, Jo Marinho, and Louis Figo. 985 00:53:09,040 --> 00:53:11,560 Speaker 1: So there we go, There we go. People have none 986 00:53:11,560 --> 00:53:14,160 Speaker 1: of you, None of them have good judgment. Side not 987 00:53:14,480 --> 00:53:17,720 Speaker 1: lightly armed by this wiki fee page because the ad 988 00:53:17,800 --> 00:53:21,240 Speaker 1: directly under Hillary Clinton is do you trust Dr Fauci 989 00:53:21,400 --> 00:53:26,279 Speaker 1: with a picture of Fauci and Kamala Harris. Let's see 990 00:53:26,280 --> 00:53:28,680 Speaker 1: if Dr Fauci's feed are on wiki feet. God, we 991 00:53:28,719 --> 00:53:33,920 Speaker 1: could do this all day. I'm not seeing results one second. 992 00:53:33,920 --> 00:53:38,359 Speaker 1: I'm gonna I'm gonna try just a broader Google. He 993 00:53:38,400 --> 00:53:42,720 Speaker 1: has to be on here. It depends the first result 994 00:53:42,840 --> 00:53:46,400 Speaker 1: on my Google. The first result for Dr Fauci Wiki 995 00:53:46,440 --> 00:53:49,560 Speaker 1: feet is Amber Slaven's feet. I don't even know Whomer Slaven. 996 00:53:49,680 --> 00:53:54,680 Speaker 1: Is this nonsense you have? This is the first time 997 00:53:54,719 --> 00:53:58,520 Speaker 1: I've been disappointed by foot fetishists on the internet. Alright, guys, 998 00:53:58,600 --> 00:54:00,600 Speaker 1: you have your marching orders for the next week. I 999 00:54:00,920 --> 00:54:08,799 Speaker 1: need to know where the Fauci foot photos are the 1000 00:54:08,800 --> 00:54:15,080 Speaker 1: Fauci release and check us out online. At worst, your 1001 00:54:15,160 --> 00:54:21,239 Speaker 1: pod on Instagram and Twitter, etcetera. Well not etcetera. Um, 1002 00:54:22,440 --> 00:54:25,839 Speaker 1: but yeah, that's that's your homework for this week. Okay bye. 1003 00:54:26,400 --> 00:54:28,800 Speaker 1: You can also find my book at a t r 1004 00:54:28,880 --> 00:54:31,520 Speaker 1: book dot com. It's a novel, it's fun. You can 1005 00:54:31,560 --> 00:54:34,480 Speaker 1: find the audio version of it at After the Revolution 1006 00:54:34,760 --> 00:54:37,759 Speaker 1: wherever you find podcasts, so you can check that out 1007 00:54:38,840 --> 00:54:42,800 Speaker 1: and track down Dr Fauci's feet picks both of those things. Also, 1008 00:54:43,800 --> 00:54:48,120 Speaker 1: it's very soon. Use the Wicki Feet dating app that 1009 00:54:48,160 --> 00:54:57,920 Speaker 1: they're developing right here, right here, developing it. Know what 1010 00:54:58,000 --> 00:55:02,759 Speaker 1: I'm having any two hour episode just about Wiki feet. 1011 00:55:02,800 --> 00:55:05,000 Speaker 1: Let's do it. Let's commit right now. I can't think 1012 00:55:05,040 --> 00:55:11,560 Speaker 1: of a single reason why. All right, well until then, guys, 1013 00:55:15,000 --> 00:55:22,960 Speaker 1: everything so dumb, everything's so dull. Start again. I tried. 1014 00:55:25,320 --> 00:55:27,560 Speaker 1: Worst Year Ever is a production of I Heart Radio. 1015 00:55:27,840 --> 00:55:30,080 Speaker 1: For more podcasts from my heart Radio, visit the i 1016 00:55:30,160 --> 00:55:33,120 Speaker 1: heart Radio app, Apple Podcasts, or wherever you listen to 1017 00:55:33,160 --> 00:55:34,000 Speaker 1: your favorite shows.