1 00:00:07,080 --> 00:00:21,160 Speaker 1: Together everything, So don't don't he cool? Thanks for stopping in. Welcome, 2 00:00:21,520 --> 00:00:25,439 Speaker 1: Welcome Katie, I love stopping in. Just so good to 3 00:00:25,560 --> 00:00:29,440 Speaker 1: see your faith I take on the met gala. Has 4 00:00:29,480 --> 00:00:36,520 Speaker 1: anyone talked about that recently? We've your I don't think 5 00:00:37,840 --> 00:00:41,960 Speaker 1: galas is a term we should use. I don't like 6 00:00:42,560 --> 00:00:45,000 Speaker 1: trust it. Just call it a party. Just call it 7 00:00:45,040 --> 00:00:49,239 Speaker 1: a party. God damn it. You're gonna have a thing. 8 00:00:49,400 --> 00:00:51,120 Speaker 1: Call it a thing. Don't call it a different thing. 9 00:00:51,200 --> 00:00:54,640 Speaker 1: Do you think you are calling being your party? After 10 00:00:54,720 --> 00:00:58,760 Speaker 1: an apple? Yeah, exactly. Let's let the apples have something. 11 00:00:58,840 --> 00:01:01,720 Speaker 1: Come on, they acrifice so much for us. Anyway, what 12 00:01:01,720 --> 00:01:04,120 Speaker 1: are we talking about this week? Who are sons? Who 13 00:01:04,200 --> 00:01:06,160 Speaker 1: are we? What are people? That? My dad used to 14 00:01:06,160 --> 00:01:08,760 Speaker 1: say that I'd come home, I'd come downstairs in the 15 00:01:08,760 --> 00:01:10,600 Speaker 1: morning and he'd go, who are you and who are 16 00:01:10,640 --> 00:01:15,320 Speaker 1: your people? I'd say, I'm Katie and you are my people? Anyway, 17 00:01:15,400 --> 00:01:18,560 Speaker 1: my name is Katie and you are my people. That's good. 18 00:01:18,800 --> 00:01:23,160 Speaker 1: That's cute, right, that's cute. Um, we got let's talk 19 00:01:23,240 --> 00:01:26,800 Speaker 1: about today. I wanted to start with a little update, 20 00:01:27,760 --> 00:01:33,040 Speaker 1: update update update um from last week. Yeah, Robert you 21 00:01:33,040 --> 00:01:36,039 Speaker 1: you you were not here with us last week, you were, 22 00:01:36,600 --> 00:01:39,759 Speaker 1: I was. I was in the South of Spain losing 23 00:01:39,800 --> 00:01:43,240 Speaker 1: your luggage. I did lose my luggage. Yeah, but we 24 00:01:43,319 --> 00:01:48,360 Speaker 1: had a really great interview discussing UM the potential upcoming 25 00:01:48,440 --> 00:01:53,760 Speaker 1: at the strike, which would be the first in wide 26 00:01:53,800 --> 00:01:58,320 Speaker 1: strike in the entertainment industry that they'd authorized and UM. 27 00:01:58,320 --> 00:02:02,000 Speaker 1: As of last week, we weren't sure what was going 28 00:02:02,040 --> 00:02:05,600 Speaker 1: to happen. But as of last night, it looks like 29 00:02:05,960 --> 00:02:12,960 Speaker 1: UHTY is recommending UM strike authorization vote. So that is 30 00:02:13,639 --> 00:02:16,840 Speaker 1: happening as of right now, or looks like it might 31 00:02:16,880 --> 00:02:20,160 Speaker 1: be happening very soon. Which TV show? Does that mean? 32 00:02:20,200 --> 00:02:25,840 Speaker 1: We're losing just about all of them, I even even 33 00:02:25,880 --> 00:02:34,079 Speaker 1: even Frasier, especially Frasier, Yeah, the old I'm positive that 34 00:02:34,240 --> 00:02:38,440 Speaker 1: Frasier's contract is long expired. Okay, so that's good. At 35 00:02:38,520 --> 00:02:42,639 Speaker 1: least no new Frasier and no recreation of old will 36 00:02:42,680 --> 00:02:47,600 Speaker 1: not impact the airing of reruns UM. But this is 37 00:02:47,600 --> 00:02:49,720 Speaker 1: a big deal, and it is a cool thing, and 38 00:02:50,080 --> 00:02:53,160 Speaker 1: it is important, important, important. I know a lot of 39 00:02:53,160 --> 00:02:57,600 Speaker 1: our listeners are not in the entertainment industry per se, 40 00:02:57,880 --> 00:03:01,200 Speaker 1: and for you, good for you, And and it's very 41 00:03:01,240 --> 00:03:03,000 Speaker 1: like I said last week, it's very easy to look at, 42 00:03:03,800 --> 00:03:06,320 Speaker 1: you know, entertainment industry in Hollywood in general, and be 43 00:03:06,440 --> 00:03:10,400 Speaker 1: like these guys, these glitzy, glamorous guys and dolls up 44 00:03:10,440 --> 00:03:15,639 Speaker 1: there on the big screen. The reality is very very 45 00:03:15,760 --> 00:03:22,720 Speaker 1: very long, grueling hours, unsafe conditions, especially during COVID when 46 00:03:23,000 --> 00:03:26,680 Speaker 1: the entertainment industry was rushed back in and having shot 47 00:03:26,720 --> 00:03:32,640 Speaker 1: myself during this time, it is really difficult. And yeah, 48 00:03:32,760 --> 00:03:37,360 Speaker 1: and literally would not be possible to make anything without 49 00:03:37,400 --> 00:03:40,720 Speaker 1: everybody on the team here, you know, And and they 50 00:03:40,720 --> 00:03:43,280 Speaker 1: have been misused for a long time, and this is 51 00:03:43,320 --> 00:03:47,760 Speaker 1: incredibly important. Um. So it Yeah, it's going to affect 52 00:03:47,800 --> 00:03:55,040 Speaker 1: some things, you know, and and never mind or it won't. 53 00:03:55,160 --> 00:04:00,440 Speaker 1: But you know, I want to do right or well 54 00:04:00,480 --> 00:04:04,080 Speaker 1: as it should, as it should, you know. UM. I 55 00:04:04,120 --> 00:04:07,440 Speaker 1: just want to quickly point out something that has been 56 00:04:07,480 --> 00:04:13,360 Speaker 1: discussed online, but god damn it, I'm saying it here too. UM. 57 00:04:13,400 --> 00:04:19,480 Speaker 1: Pretty unfortunate that literally nobody stood up there on stage 58 00:04:19,560 --> 00:04:25,560 Speaker 1: at the Emmy's on Sunday and mentioned Curious Strike. And 59 00:04:25,640 --> 00:04:29,920 Speaker 1: they do know about it. They should know about it, 60 00:04:30,360 --> 00:04:37,680 Speaker 1: you know, extremely interesting, extremely interesting, extremely come on, they 61 00:04:37,839 --> 00:04:44,360 Speaker 1: should did. I'm sorry you were still busy unpacking last 62 00:04:44,400 --> 00:04:50,200 Speaker 1: week's gala to unpack the Emmy fashion but I am 63 00:04:50,200 --> 00:04:52,680 Speaker 1: surrounded by people. This is obviously important to me. I work, 64 00:04:52,839 --> 00:04:55,320 Speaker 1: We all work in l A. But I guess Robert, 65 00:04:55,320 --> 00:04:57,720 Speaker 1: you don't anymore. This is an industry that I've been 66 00:04:57,720 --> 00:05:00,559 Speaker 1: a part of for a long time, and um, something 67 00:05:00,560 --> 00:05:02,560 Speaker 1: that I've been saying and I'm for a long time 68 00:05:02,600 --> 00:05:04,440 Speaker 1: is that these working conditions have to change. And I 69 00:05:04,480 --> 00:05:10,160 Speaker 1: am proud of everybody standing strong um with this. So 70 00:05:10,240 --> 00:05:14,359 Speaker 1: that's my update from last week. I can't see, but 71 00:05:14,400 --> 00:05:19,040 Speaker 1: it's raised my Yeah, well, good, good on you. I 72 00:05:20,040 --> 00:05:27,720 Speaker 1: will generally say you in an Italian accent. Spicy meat 73 00:05:29,600 --> 00:05:35,760 Speaker 1: Other things to talk about this week, spicy meatballs. Okay, 74 00:05:35,760 --> 00:05:38,200 Speaker 1: now we're going to pivot to something pretty dark, and 75 00:05:38,279 --> 00:05:42,920 Speaker 1: that would be Gabby Potito and this whole case that 76 00:05:42,960 --> 00:05:47,960 Speaker 1: we have watched unfold over the past week and a half. 77 00:05:48,279 --> 00:05:52,480 Speaker 1: And I have several different things to say. I want 78 00:05:52,480 --> 00:05:54,320 Speaker 1: to talk about what happened. The first thing I want 79 00:05:54,320 --> 00:06:01,280 Speaker 1: to talk about is how upsetting it is that again, 80 00:06:01,800 --> 00:06:06,120 Speaker 1: a beautiful, thin, blonde, white woman makes front page news 81 00:06:06,360 --> 00:06:10,919 Speaker 1: and captures the heart of the world when she goes missing, 82 00:06:11,800 --> 00:06:16,040 Speaker 1: When women of color go missing every day in that area. 83 00:06:16,080 --> 00:06:22,000 Speaker 1: There's some something like missing Indigenous women from the last 84 00:06:22,120 --> 00:06:25,400 Speaker 1: nine years that nobody has any idea what their names are, 85 00:06:25,720 --> 00:06:30,320 Speaker 1: and nobody pays attention, and it's a huge problem. Um, 86 00:06:30,440 --> 00:06:33,200 Speaker 1: And this isn't news to anybody. And yet every time 87 00:06:34,200 --> 00:06:38,400 Speaker 1: somebody that, you know, I mean, it's just racist, it's racist. 88 00:06:38,440 --> 00:06:41,279 Speaker 1: Music coverage is also I mean, yes, you can point 89 00:06:41,320 --> 00:06:44,039 Speaker 1: to the fact that she was a blogger. Yes there 90 00:06:44,120 --> 00:06:47,000 Speaker 1: is that social media aspect, but it goes above beyond that. 91 00:06:47,360 --> 00:06:50,400 Speaker 1: My heart is broken for Gabby Petito and her family, 92 00:06:50,520 --> 00:06:54,120 Speaker 1: and yes, I do not I think that all resources 93 00:06:54,160 --> 00:06:59,560 Speaker 1: should should be invested into finding you know, missing women 94 00:06:59,760 --> 00:07:03,560 Speaker 1: or I think people in general. The discrepancy between how 95 00:07:03,560 --> 00:07:05,279 Speaker 1: her case has been treated and how a lot of 96 00:07:05,320 --> 00:07:08,240 Speaker 1: Indigenous women disappearing is treated isn't on her and doesn't 97 00:07:08,279 --> 00:07:10,840 Speaker 1: mean like people shouldn't care about the fact that she 98 00:07:10,960 --> 00:07:13,800 Speaker 1: was murdered. That's not anyone is saying when they point 99 00:07:13,840 --> 00:07:15,480 Speaker 1: this out. But we should also keep in mind that 100 00:07:15,560 --> 00:07:19,560 Speaker 1: like Indigenous women are murdered and sexually assaulted, it rates 101 00:07:19,560 --> 00:07:22,040 Speaker 1: about ten times as high as as the average women 102 00:07:22,240 --> 00:07:25,559 Speaker 1: and disappear at a disproportionate right. We actually don't really 103 00:07:25,600 --> 00:07:28,480 Speaker 1: have a great understanding of like how common it is. 104 00:07:28,560 --> 00:07:34,400 Speaker 1: Last year alone, nearly fifty Native American women were reported missing. Um, 105 00:07:34,440 --> 00:07:36,880 Speaker 1: it's it's a it's it's a real issue, and and 106 00:07:36,960 --> 00:07:41,200 Speaker 1: it's it's it is important again, Like nuance is important 107 00:07:41,200 --> 00:07:44,480 Speaker 1: because we're not saying like fuck Cabby Petito, like we're 108 00:07:44,520 --> 00:07:47,360 Speaker 1: we're saying, like, well, now we're talking about a missing woman. 109 00:07:47,400 --> 00:07:50,640 Speaker 1: And it's probably worth pointing out again to everybody that 110 00:07:51,120 --> 00:07:54,120 Speaker 1: Indigenous women frequently go missing and nobody gives a ship 111 00:07:54,160 --> 00:07:57,960 Speaker 1: and maybe we we often. I'm we're working on bringing 112 00:07:58,160 --> 00:08:00,800 Speaker 1: someone on in the near future to talk cifically about 113 00:08:00,840 --> 00:08:05,760 Speaker 1: this because it deserves its own intense focus and conversation 114 00:08:05,800 --> 00:08:09,640 Speaker 1: to unpack. I'm gonna read this. This is a you know, 115 00:08:10,200 --> 00:08:12,720 Speaker 1: different versions of this sentiment have been floating around online, 116 00:08:12,720 --> 00:08:15,960 Speaker 1: but this is one from Twitter. Gabby Petito's life might 117 00:08:15,960 --> 00:08:19,240 Speaker 1: have had an incredibly different ending if the police officers 118 00:08:19,240 --> 00:08:21,560 Speaker 1: who pulled them over on August twelve we're at all 119 00:08:21,640 --> 00:08:27,680 Speaker 1: familiar with what domestic violence actually looks like. Um, that 120 00:08:27,840 --> 00:08:30,600 Speaker 1: hits me because it's true when I look at that video. 121 00:08:31,120 --> 00:08:32,640 Speaker 1: I'm not sure if any of you guys have have 122 00:08:32,800 --> 00:08:35,920 Speaker 1: checked out the body cam footage from when they pulled. 123 00:08:36,480 --> 00:08:40,200 Speaker 1: You know, we're interceding and talking to Gabby and and 124 00:08:41,360 --> 00:08:47,120 Speaker 1: the fiancee. Gabby is incredibly distraught and clearly been gas lit, 125 00:08:47,559 --> 00:08:51,880 Speaker 1: like manipulated into thinking that she was a problem. She's 126 00:08:51,880 --> 00:08:54,240 Speaker 1: not sure what happened, but what I saw was a 127 00:08:54,280 --> 00:08:59,160 Speaker 1: woman who was hysterical and her boyfriend had kicked her 128 00:08:59,200 --> 00:09:01,240 Speaker 1: out of the van because she could and she needed 129 00:09:01,240 --> 00:09:03,200 Speaker 1: to get in and get her work done. And they 130 00:09:03,360 --> 00:09:05,720 Speaker 1: treat you know, and people point to say, how could 131 00:09:05,720 --> 00:09:08,959 Speaker 1: the officer have known? How could they treated her very kindly? 132 00:09:09,000 --> 00:09:11,200 Speaker 1: And they were kind, but they were missing something very 133 00:09:11,200 --> 00:09:14,120 Speaker 1: obvious that within ten seconds I saw. And maybe that's 134 00:09:14,120 --> 00:09:17,640 Speaker 1: because I know personally what that feels like. Maybe more 135 00:09:17,679 --> 00:09:20,840 Speaker 1: women are able to respond to that in a visceral 136 00:09:20,880 --> 00:09:24,920 Speaker 1: way and and immediately see the signs. But the fact 137 00:09:24,920 --> 00:09:27,640 Speaker 1: that this officer was not trained and did not understand 138 00:09:28,280 --> 00:09:31,839 Speaker 1: what they were encountering felt very palpable. Also, people point 139 00:09:31,880 --> 00:09:35,280 Speaker 1: to the fact, you know, it was framed like she 140 00:09:35,400 --> 00:09:39,080 Speaker 1: was the aggressor. And turns out there were multiple nine 141 00:09:39,120 --> 00:09:43,800 Speaker 1: one phone calls, one saying that he had hit her regardless, um, 142 00:09:43,880 --> 00:09:47,280 Speaker 1: you know, in the in the video, he's holding up 143 00:09:47,320 --> 00:09:49,080 Speaker 1: his hands and the officer as saying like, oh, did 144 00:09:49,120 --> 00:09:53,520 Speaker 1: she do those claw marks on you? And that is 145 00:09:53,559 --> 00:09:59,480 Speaker 1: a tell tale sign. I mean, rapists and abusers frequently 146 00:09:59,559 --> 00:10:03,000 Speaker 1: have more from women on their body from self defense. 147 00:10:03,320 --> 00:10:05,120 Speaker 1: So those are two things that an officer could have 148 00:10:05,160 --> 00:10:07,040 Speaker 1: looked at and pointed at and said like, oh, this 149 00:10:07,120 --> 00:10:09,560 Speaker 1: situation is not what it may seem on the surface. 150 00:10:10,240 --> 00:10:13,160 Speaker 1: All of that to say is that this is incredibly common. 151 00:10:14,520 --> 00:10:17,640 Speaker 1: I mean, if you look at the domestic abuse rates 152 00:10:18,280 --> 00:10:22,160 Speaker 1: during the pandemic, um, I think they've rose by like 153 00:10:22,280 --> 00:10:26,880 Speaker 1: eight point one percent just during lockdowns. Three women are 154 00:10:26,960 --> 00:10:30,480 Speaker 1: murdered every day in the United States from domestic abuse, 155 00:10:31,280 --> 00:10:35,320 Speaker 1: and cops over and over and over again do not 156 00:10:35,480 --> 00:10:40,240 Speaker 1: properly respond to domestic abuse situations. And again speaking circling 157 00:10:40,240 --> 00:10:44,960 Speaker 1: back around too, all of the missing women of color 158 00:10:47,320 --> 00:10:50,080 Speaker 1: that never go reported, this is all all a part 159 00:10:50,080 --> 00:10:54,360 Speaker 1: of it. Also a lot of cops, uh yeah, of 160 00:10:54,480 --> 00:10:58,600 Speaker 1: cops or of police and it have domestic abuse is 161 00:10:58,640 --> 00:11:03,800 Speaker 1: the actual statistics. But yeah, yeah, it's very very, very disturbing, 162 00:11:04,640 --> 00:11:06,920 Speaker 1: and yeah, I couldn't watch I couldn't watch more than 163 00:11:06,960 --> 00:11:09,840 Speaker 1: a minute of or two of that. And then of 164 00:11:09,840 --> 00:11:15,920 Speaker 1: course we could talk about how they let him get away. 165 00:11:16,400 --> 00:11:19,000 Speaker 1: I mean I was going to talk about how the 166 00:11:19,040 --> 00:11:23,680 Speaker 1: real villain here is vans. Okay, wait, where are we 167 00:11:23,679 --> 00:11:26,600 Speaker 1: still doing the van life? Many minivans or vans, just 168 00:11:26,679 --> 00:11:29,600 Speaker 1: van life in general. It's not two thou twelve. Come on, people, 169 00:11:30,000 --> 00:11:33,920 Speaker 1: are you suggesting a replacement for vans or suggesting just 170 00:11:33,960 --> 00:11:36,720 Speaker 1: not any aspect of it? Yeah? Just get no more 171 00:11:36,800 --> 00:11:41,720 Speaker 1: van life, get rid of vans, get rid of Instagram. 172 00:11:41,760 --> 00:11:44,800 Speaker 1: I'm okay with van life. I'm pretty um over abusive 173 00:11:44,800 --> 00:11:48,679 Speaker 1: shitty men. Well, yeah, I'll keep the van, get rid 174 00:11:48,720 --> 00:11:51,880 Speaker 1: of the man. I mean, I guess the non joking 175 00:11:51,920 --> 00:11:54,080 Speaker 1: part of it is that I think you can't disentangle 176 00:11:54,160 --> 00:11:59,160 Speaker 1: this from like influencier culture. Like it seems like we're 177 00:11:59,200 --> 00:12:02,560 Speaker 1: probably gonna find doubt that this guy was using his 178 00:12:02,640 --> 00:12:05,400 Speaker 1: relationship and the way that it was perceived in order 179 00:12:05,480 --> 00:12:10,160 Speaker 1: to make money, and uh, that is a pretty inherently 180 00:12:10,200 --> 00:12:13,120 Speaker 1: abusive situation. Like one of the problems with you know, 181 00:12:13,559 --> 00:12:15,240 Speaker 1: speaking of someone who's lived on the road for a 182 00:12:15,240 --> 00:12:16,480 Speaker 1: long time, one of the things you have to be 183 00:12:16,480 --> 00:12:19,040 Speaker 1: really careful about is that, like you're kind of leaving 184 00:12:19,040 --> 00:12:21,800 Speaker 1: your support networks behind, which is a great situation for 185 00:12:21,840 --> 00:12:25,600 Speaker 1: an abuser to be in with a partner because she's 186 00:12:26,040 --> 00:12:29,800 Speaker 1: you're in the desert or where it's isolating. Yeah, that's 187 00:12:29,960 --> 00:12:34,720 Speaker 1: part of the process here. Yeah, um absolutely, yeah, I 188 00:12:34,760 --> 00:12:39,319 Speaker 1: mean you're you're correct. There's a lot to be um 189 00:12:39,960 --> 00:12:43,440 Speaker 1: discovered still about the story. I'm not going to like 190 00:12:43,840 --> 00:12:48,240 Speaker 1: discuss whatever random facts that aren't facts yet that have 191 00:12:48,280 --> 00:12:50,679 Speaker 1: been thrown around about what he may or may not 192 00:12:50,800 --> 00:12:53,040 Speaker 1: have done and what other murders he may or may 193 00:12:53,080 --> 00:12:55,560 Speaker 1: not have been involved when, because that's all theory at 194 00:12:55,640 --> 00:13:01,160 Speaker 1: this point, and I don't know. I I just I'm 195 00:13:01,280 --> 00:13:03,840 Speaker 1: I've been feeling really dark about this all week. It's 196 00:13:03,840 --> 00:13:07,360 Speaker 1: been awful, and like you said, it's just one of 197 00:13:07,400 --> 00:13:10,440 Speaker 1: the many, many, many stories we don't hear about. Yeah. 198 00:13:10,600 --> 00:13:13,080 Speaker 1: I again, before we move on, I'll just say that 199 00:13:13,160 --> 00:13:17,680 Speaker 1: I think it's it's desperately important that everybody starts to 200 00:13:17,920 --> 00:13:21,280 Speaker 1: acknowledge and recognize what abuse looks like and how it 201 00:13:21,320 --> 00:13:25,280 Speaker 1: can manifest and uh to take it seriously. I don't 202 00:13:25,320 --> 00:13:27,280 Speaker 1: know what would have helped in this specific case, Like 203 00:13:27,320 --> 00:13:32,920 Speaker 1: obviously theoretically police who gave a ship could have helped, 204 00:13:32,960 --> 00:13:36,120 Speaker 1: but I don't think that's particularly likely in the policing system. Like, 205 00:13:36,120 --> 00:13:37,880 Speaker 1: I don't think there's any amount of training that would 206 00:13:37,880 --> 00:13:41,080 Speaker 1: have made this officer give a ship. No, I agree, 207 00:13:41,280 --> 00:13:44,920 Speaker 1: I I mean I think that I mean in general, Sorry, 208 00:13:44,960 --> 00:13:47,120 Speaker 1: this is personal for me in many ways, I have 209 00:13:47,200 --> 00:13:51,240 Speaker 1: not had the same experience that Gabby did. But um, 210 00:13:51,600 --> 00:13:53,840 Speaker 1: over the past few months talking to a lot of women, 211 00:13:53,880 --> 00:13:56,560 Speaker 1: I know that they a vast majority of women have 212 00:13:56,679 --> 00:14:00,240 Speaker 1: incredibly disturbing stories to tell about how they have been 213 00:14:00,240 --> 00:14:02,400 Speaker 1: treated and how people have believed them. So when I 214 00:14:02,440 --> 00:14:05,000 Speaker 1: talk about believing people and looking for signs, I mean 215 00:14:05,080 --> 00:14:10,400 Speaker 1: like really proactively changing how we moved the world and um, 216 00:14:10,440 --> 00:14:14,360 Speaker 1: and interact with people, uh, and have these conversations and 217 00:14:14,400 --> 00:14:16,280 Speaker 1: have an awareness of just how common it is and 218 00:14:16,320 --> 00:14:18,600 Speaker 1: what it looks like. I'm not saying that that would 219 00:14:18,600 --> 00:14:20,840 Speaker 1: have changed this situation, but I think that it might 220 00:14:20,920 --> 00:14:29,400 Speaker 1: change yours individually. Does that make sense anyway? Anyway? Should 221 00:14:29,400 --> 00:14:34,240 Speaker 1: we take an ad break and come back with something new? No? OK, 222 00:14:35,560 --> 00:14:38,760 Speaker 1: for three minutes and break? Sorry? Was that too intense 223 00:14:38,800 --> 00:14:41,760 Speaker 1: what I just said? No? No, no, no, not at all. 224 00:14:41,760 --> 00:14:45,440 Speaker 1: It's the story. What's happened? I feel very like, I 225 00:14:45,480 --> 00:14:47,840 Speaker 1: don't know, it's really fucked me up this week. Yeah, 226 00:14:47,880 --> 00:14:50,560 Speaker 1: I mean not really, but I just I'm like, yeah, 227 00:14:50,680 --> 00:14:53,680 Speaker 1: the the the amount of places you've seen coverage for 228 00:14:53,720 --> 00:14:57,440 Speaker 1: this story is like so you can't get away from everywhere. 229 00:14:58,240 --> 00:15:00,760 Speaker 1: I think. I think there's like a huge aspect of 230 00:15:00,800 --> 00:15:04,280 Speaker 1: like TikTok and this too, that like where it spread 231 00:15:04,280 --> 00:15:07,480 Speaker 1: all over TikTok in't before we started recording a check. 232 00:15:07,600 --> 00:15:10,600 Speaker 1: It's literally all the top podcasts on the charts. We're 233 00:15:10,640 --> 00:15:14,680 Speaker 1: talking about it too. Yeah, So it's just that's who 234 00:15:14,760 --> 00:15:17,200 Speaker 1: needs to be doing this. I mean, that's what we're 235 00:15:17,240 --> 00:15:21,120 Speaker 1: doing too, I guess, yeah, but I mean it's definitely 236 00:15:21,120 --> 00:15:24,200 Speaker 1: going to be in our time podcasters. But guess what 237 00:15:24,800 --> 00:15:27,800 Speaker 1: I mean. It's just it's just like spread like like wildfire, 238 00:15:27,880 --> 00:15:29,960 Speaker 1: and it's like, you know, in one way that's good. 239 00:15:30,000 --> 00:15:33,160 Speaker 1: In another way, like keep that same energy. That's just 240 00:15:33,280 --> 00:15:35,280 Speaker 1: the thing for me. I'm like, I'm like, I'm glad 241 00:15:35,360 --> 00:15:38,000 Speaker 1: that you know, Like, I don't think you really got in. 242 00:15:38,080 --> 00:15:39,640 Speaker 1: You didn't mention this at all, Katie, but I know 243 00:15:39,680 --> 00:15:41,040 Speaker 1: you and I have talked about it. But it's like 244 00:15:41,400 --> 00:15:44,640 Speaker 1: the amount of coverage led to those people fucking knowing 245 00:15:44,640 --> 00:15:46,280 Speaker 1: what that van looked like and then they were able 246 00:15:46,320 --> 00:15:49,840 Speaker 1: to find her. Right now, I mean the fact that 247 00:15:49,880 --> 00:15:52,760 Speaker 1: everybody was paying attention to It's not that you shouldn't 248 00:15:53,120 --> 00:15:56,720 Speaker 1: pay attention, it's that we Yeah, it's for other people. 249 00:15:56,880 --> 00:15:59,480 Speaker 1: It's like if that same if that same energy was 250 00:16:00,000 --> 00:16:05,040 Speaker 1: it out there for citizen journalists, have you know, made 251 00:16:05,080 --> 00:16:09,040 Speaker 1: some amount of difference in cold cases and and and whatnot. 252 00:16:09,040 --> 00:16:10,840 Speaker 1: I mean we talked to Billy Jensen at one time, 253 00:16:10,880 --> 00:16:16,040 Speaker 1: and he's big on that. So like, there truly is 254 00:16:16,360 --> 00:16:20,760 Speaker 1: incredible work being done by people using social media open 255 00:16:20,800 --> 00:16:24,520 Speaker 1: source journalism. Yeah, m hmm, And I guess we're back 256 00:16:24,560 --> 00:16:28,000 Speaker 1: from break now. Oh yeah, do you want to include 257 00:16:28,000 --> 00:16:30,680 Speaker 1: anything or not? Yeah, let's include that, and let's go 258 00:16:30,760 --> 00:16:45,840 Speaker 1: to break now everything. Yeah, we're at the border, moving 259 00:16:45,920 --> 00:16:53,800 Speaker 1: along from a sad story to a sad story. People 260 00:16:54,440 --> 00:16:57,120 Speaker 1: are right when they're like, if this was happening during 261 00:16:57,120 --> 00:17:00,720 Speaker 1: the Trump administration, there would be liberals crowd at airports 262 00:17:00,720 --> 00:17:04,040 Speaker 1: to protest. You know, they're what, we've had no changes 263 00:17:04,280 --> 00:17:10,560 Speaker 1: from our immigration. Yeah, it's or whatever it is. I 264 00:17:10,920 --> 00:17:13,600 Speaker 1: wanna I think we should start by kind of clarifying something, 265 00:17:13,600 --> 00:17:15,600 Speaker 1: which is that like this is getting like framed by 266 00:17:15,600 --> 00:17:17,480 Speaker 1: a lot of the like right wing media. Is that 267 00:17:17,520 --> 00:17:20,240 Speaker 1: like they're swarming over the border. They're they're like crossing 268 00:17:20,240 --> 00:17:23,720 Speaker 1: into the US illegally. They're not the Del Rio Bridge. 269 00:17:23,920 --> 00:17:25,960 Speaker 1: The area in which they're setting up their camp is 270 00:17:26,000 --> 00:17:29,360 Speaker 1: in US territory. It's this kind of like weird geographical 271 00:17:29,400 --> 00:17:31,720 Speaker 1: area where they have not like crossed the border formally, 272 00:17:31,760 --> 00:17:34,240 Speaker 1: but they're in U. S territory and they have to 273 00:17:34,280 --> 00:17:37,679 Speaker 1: be because you can't file for asylum unless you're you know, 274 00:17:38,240 --> 00:17:40,920 Speaker 1: in the US territory, So you gotta go to where 275 00:17:40,680 --> 00:17:44,080 Speaker 1: you have to be there. Yeah, so they have to be. 276 00:17:44,359 --> 00:17:46,200 Speaker 1: They have to be where they are if they're not 277 00:17:46,280 --> 00:17:50,439 Speaker 1: doing anything improper. They're just fleeing a nightmares situation in 278 00:17:50,480 --> 00:17:52,080 Speaker 1: a country that, like listen to our two part are 279 00:17:52,119 --> 00:17:55,000 Speaker 1: on Haiti. They don't have a lot of options and 280 00:17:55,000 --> 00:17:59,080 Speaker 1: they're doing the thing that they're supposed to be doing legally. Yeah. 281 00:17:59,119 --> 00:18:01,360 Speaker 1: I mean that's always been the case, the frustrating case 282 00:18:01,359 --> 00:18:04,360 Speaker 1: where it's like like you know, they're doing the things 283 00:18:04,400 --> 00:18:07,360 Speaker 1: they're allowed to do. Yeah, they're literally obeying the law 284 00:18:07,520 --> 00:18:10,520 Speaker 1: that you guys set up. That is stupid, but they're 285 00:18:10,560 --> 00:18:13,000 Speaker 1: doing it. They're obeying it um and it's very bizarre 286 00:18:13,040 --> 00:18:15,520 Speaker 1: to see, like you see people like on the left, 287 00:18:15,640 --> 00:18:18,040 Speaker 1: like you know, obviously like all these deportations and like 288 00:18:18,520 --> 00:18:21,480 Speaker 1: the images we're seeing, um, and how it's terrible we 289 00:18:21,520 --> 00:18:23,919 Speaker 1: shouldn't be doing that. And then seeing people on the 290 00:18:24,040 --> 00:18:26,960 Speaker 1: right like, uh, look at the crisis, and it's like, 291 00:18:27,000 --> 00:18:29,280 Speaker 1: don't isn't this what you want? You want? Like all 292 00:18:29,280 --> 00:18:32,119 Speaker 1: these people to be deported, Like this is what you want? 293 00:18:32,240 --> 00:18:37,720 Speaker 1: What is it? You're you're literally getting the thing. The 294 00:18:37,760 --> 00:18:40,679 Speaker 1: amount of people who are trying to seek asylum is 295 00:18:40,680 --> 00:18:43,639 Speaker 1: what you're mad at? Or the like the fact that 296 00:18:43,760 --> 00:18:46,520 Speaker 1: we're not letting it's just it's very maddening to see. 297 00:18:46,640 --> 00:18:50,520 Speaker 1: They just want to be mad. Yeah. And the images 298 00:18:50,560 --> 00:18:54,080 Speaker 1: that we're seeing from this right now of people on 299 00:18:54,160 --> 00:19:00,080 Speaker 1: horseback with whips crralling katie, Katie, Katie, Yeah, whips And 300 00:19:00,200 --> 00:19:04,240 Speaker 1: a quote from the article Okay, it's very important, it's 301 00:19:04,359 --> 00:19:11,280 Speaker 1: very accurate. Not inaccurately call them whips. Okay, Um, all right, 302 00:19:11,359 --> 00:19:14,440 Speaker 1: let's say so. This is from the Yahoo News coverage. 303 00:19:14,880 --> 00:19:18,359 Speaker 1: After one of the officers invests, unfurled a chord resembling 304 00:19:18,480 --> 00:19:20,920 Speaker 1: a lariat like whip and steered his horse to block 305 00:19:20,960 --> 00:19:23,280 Speaker 1: the immigrants. One tumble back into the water, he got 306 00:19:23,320 --> 00:19:25,359 Speaker 1: up and tried again, but the officers swung the cord 307 00:19:25,400 --> 00:19:28,840 Speaker 1: again near his face, so they're not hipping them. They're 308 00:19:28,880 --> 00:19:33,440 Speaker 1: swinging chords, not whips, just cord that resemble whips near 309 00:19:33,520 --> 00:19:39,520 Speaker 1: their faces. It's fine, it's fine, fine, I change my position. 310 00:19:40,480 --> 00:19:43,880 Speaker 1: I just love as a journalist like you, you get 311 00:19:43,920 --> 00:19:46,840 Speaker 1: into the field of journalism to speak truth to power 312 00:19:46,920 --> 00:19:49,840 Speaker 1: and and comfort the afflicted and afflict the comfortable. And 313 00:19:49,880 --> 00:19:51,480 Speaker 1: then you're like, well, we got to make sure we're 314 00:19:51,480 --> 00:19:54,480 Speaker 1: not unfairly calling this chord a whip that he's hitting 315 00:19:55,680 --> 00:19:59,560 Speaker 1: homeless refugee with go to border. Was that a whip 316 00:19:59,600 --> 00:20:03,320 Speaker 1: or was it a whiplike chord? But also, even even 317 00:20:03,359 --> 00:20:05,440 Speaker 1: if you want to be like the most accurate, it's 318 00:20:05,440 --> 00:20:07,439 Speaker 1: not literally a whip. They didn't buy whips and they 319 00:20:07,440 --> 00:20:11,280 Speaker 1: didn't go to the whip store. You can say that 320 00:20:11,840 --> 00:20:15,919 Speaker 1: they used chords to whip people. Yeah, you use chords 321 00:20:15,920 --> 00:20:18,800 Speaker 1: in a whip like manner. They use chords, which are 322 00:20:18,840 --> 00:20:22,000 Speaker 1: a sensive. They hipped some chords around. Yeah, you can 323 00:20:22,040 --> 00:20:24,280 Speaker 1: whip people with I whipped a man with a belt 324 00:20:24,320 --> 00:20:27,320 Speaker 1: fish once. You can whip people with a variety of tools. 325 00:20:27,480 --> 00:20:30,320 Speaker 1: That's why you can whip people with a branch with 326 00:20:30,359 --> 00:20:33,320 Speaker 1: a stick. Look, as the song said, when a problem 327 00:20:33,400 --> 00:20:35,800 Speaker 1: comes along, you must oh wait, no, no, no, you 328 00:20:35,880 --> 00:20:40,240 Speaker 1: must succord it. You must chord like it just say, 329 00:20:40,280 --> 00:20:44,120 Speaker 1: like a chord using a whip like manner, a chord 330 00:20:44,200 --> 00:20:46,199 Speaker 1: that might as well have been a whip like you 331 00:20:46,200 --> 00:20:50,840 Speaker 1: can still be accurate and not. It's very frustrating like 332 00:20:50,920 --> 00:20:55,240 Speaker 1: that kind of splitting hairs is just like funk yourself. 333 00:20:55,320 --> 00:20:57,800 Speaker 1: That's not journal And it seems it seems small, but 334 00:20:57,920 --> 00:21:02,480 Speaker 1: it's really important be because yeah, it's all about what 335 00:21:02,600 --> 00:21:06,199 Speaker 1: picture you're painting for people. And yeah, I'm sure that 336 00:21:06,240 --> 00:21:09,240 Speaker 1: guy went home being like, oh the hoy paloy online 337 00:21:09,240 --> 00:21:11,080 Speaker 1: all freaking out about whips. I found the truth. It 338 00:21:11,160 --> 00:21:16,480 Speaker 1: was a whiplike chord did my job today being used 339 00:21:16,520 --> 00:21:18,240 Speaker 1: to well, I guess chord can't be the verb. What's 340 00:21:18,240 --> 00:21:20,680 Speaker 1: the what's a good verb to describe you using a 341 00:21:20,760 --> 00:21:24,119 Speaker 1: chord in that way? And you know, I've seen this 342 00:21:24,200 --> 00:21:27,040 Speaker 1: point being made that I agree. You know, we we 343 00:21:27,160 --> 00:21:31,600 Speaker 1: made sure too. Well, I don't know if we made sure, 344 00:21:31,760 --> 00:21:35,280 Speaker 1: but there was all of this hullabaloo about making room 345 00:21:35,400 --> 00:21:42,080 Speaker 1: for Afghan citizens that were fleeing their home country, and 346 00:21:42,440 --> 00:21:47,240 Speaker 1: understandably as we should we bear a lot of responsibility 347 00:21:47,320 --> 00:21:50,680 Speaker 1: for their situation. We also bear a lot of responsibility 348 00:21:50,680 --> 00:21:53,280 Speaker 1: for what's going on in Haiti, not directly per se, 349 00:21:53,320 --> 00:21:59,760 Speaker 1: but directly repeatedly. As directly I was like, well, I 350 00:21:59,800 --> 00:22:02,920 Speaker 1: mean we didn't like fail at a war for the 351 00:22:03,000 --> 00:22:05,000 Speaker 1: last twin years, we failed at a lot of other 352 00:22:05,040 --> 00:22:09,879 Speaker 1: things that are directly. We've cumulatively militarily occupied Haiti for 353 00:22:09,920 --> 00:22:12,399 Speaker 1: at least as long as we were in Afghanistan and 354 00:22:12,560 --> 00:22:21,320 Speaker 1: actively oppressed their own autonomy and autonomy and infrastructure. Ye. Yeah, 355 00:22:21,720 --> 00:22:28,600 Speaker 1: so yes, we are as responsible. We've been fucking with 356 00:22:28,640 --> 00:22:34,040 Speaker 1: Haiti for a long time. It is truly abominable, and 357 00:22:34,240 --> 00:22:37,720 Speaker 1: it is frustrating to look at people that are are 358 00:22:37,880 --> 00:22:40,760 Speaker 1: very ready to cry foul at Donald Trump. But when 359 00:22:40,800 --> 00:22:43,480 Speaker 1: it's Joe Biden, what is he supposed to do? Is 360 00:22:43,600 --> 00:22:46,959 Speaker 1: hands are tied? What he supposed to do? It's the Senate, 361 00:22:47,040 --> 00:22:51,200 Speaker 1: Parliamentary and ship where it's like, this is all such 362 00:22:51,240 --> 00:22:53,879 Speaker 1: a horrible problem when Trump was in office, but like Biden, 363 00:22:53,920 --> 00:22:55,919 Speaker 1: what you expect him to do something about Ice? It's 364 00:22:55,960 --> 00:23:00,000 Speaker 1: a rogue agency. Will and take their money, right, don't 365 00:22:59,440 --> 00:23:02,560 Speaker 1: don't have ice anymore? And be like well, motherfucker's you're 366 00:23:02,560 --> 00:23:04,679 Speaker 1: not going to obey the law. Fuck you send in 367 00:23:05,320 --> 00:23:06,840 Speaker 1: somebody to beat them up. You've got a lot of 368 00:23:06,880 --> 00:23:09,280 Speaker 1: people who could beat up Ice. You're the you're the president. 369 00:23:09,359 --> 00:23:13,440 Speaker 1: Suck them up and suck them up. Joe, Yeah, I don't. 370 00:23:13,440 --> 00:23:15,280 Speaker 1: I don't give a shit about your excuses. You're the 371 00:23:15,359 --> 00:23:18,960 Speaker 1: goddamn president. It's not who we are. I mean, sure 372 00:23:18,960 --> 00:23:24,080 Speaker 1: there are are organization and sending the marine bomb Ice 373 00:23:24,320 --> 00:23:28,920 Speaker 1: with with Harrier jets. Also retired the Harrier jet because 374 00:23:29,040 --> 00:23:32,000 Speaker 1: it would be pretty rad to watz I saw. I 375 00:23:32,040 --> 00:23:36,760 Speaker 1: saw somebody tweet like, uh, fire everybody and hire more 376 00:23:36,800 --> 00:23:39,639 Speaker 1: different people to work here. It's like, wait, so the 377 00:23:39,680 --> 00:23:43,000 Speaker 1: problem is with ICE as the people working there one 378 00:23:43,040 --> 00:23:45,920 Speaker 1: of the problems that's not It is deeper than that. 379 00:23:46,320 --> 00:23:48,800 Speaker 1: I would say if if if Biden were to fire 380 00:23:48,840 --> 00:23:51,399 Speaker 1: them all and start the process of hiring new ICE people, 381 00:23:51,640 --> 00:23:55,400 Speaker 1: I would be like, well, that's probably gonna make it better, 382 00:23:55,440 --> 00:23:58,600 Speaker 1: and maybe they'll use like rope like whips instead of 383 00:23:58,760 --> 00:24:04,399 Speaker 1: cord like whips. So the majority I mentioned this is 384 00:24:04,480 --> 00:24:08,720 Speaker 1: a moment ago, but from what I understand, most of 385 00:24:08,760 --> 00:24:15,480 Speaker 1: these um deportations are happening under the CDC's Title forty two, 386 00:24:15,520 --> 00:24:21,600 Speaker 1: which was implemented in March. Donald Trump and everybody was 387 00:24:21,720 --> 00:24:25,240 Speaker 1: very piste off about it. But you know, Title forty 388 00:24:25,280 --> 00:24:29,679 Speaker 1: two was supposed to, you know, under the excuse of 389 00:24:29,800 --> 00:24:33,400 Speaker 1: we want to limit coronavirus spread, etcetera. You know, it's 390 00:24:33,480 --> 00:24:38,760 Speaker 1: it's supposed to curb the flow of it. But he's 391 00:24:38,760 --> 00:24:42,399 Speaker 1: been promising for months to roll back Title forty two, 392 00:24:42,680 --> 00:24:44,720 Speaker 1: and they keep saying they're about to, and now he's 393 00:24:44,760 --> 00:24:47,679 Speaker 1: just using it to deport these people. This is just 394 00:24:47,760 --> 00:24:50,680 Speaker 1: like the thing that also vaccinate them. Come here, give 395 00:24:50,720 --> 00:24:54,080 Speaker 1: people vaccinations if they want them. There's a picture of 396 00:24:54,160 --> 00:24:56,040 Speaker 1: the ice age and one of them with the whips. 397 00:24:56,160 --> 00:24:58,600 Speaker 1: He's got like his fucking he's got chaps on, and 398 00:24:58,640 --> 00:25:02,120 Speaker 1: he's got a play carrier like body armor, and he's 399 00:25:02,119 --> 00:25:05,120 Speaker 1: got a fucking cowboy hat, and it's it's the ultimate 400 00:25:05,200 --> 00:25:08,439 Speaker 1: expression of like what baby Larper's they are. None of 401 00:25:08,480 --> 00:25:10,720 Speaker 1: that is like, I guess the chaps. You could argue 402 00:25:10,720 --> 00:25:12,800 Speaker 1: where necessary because he is riding a horse, but like 403 00:25:13,440 --> 00:25:16,200 Speaker 1: he just wanted to look cool. If you are wearing 404 00:25:16,240 --> 00:25:18,960 Speaker 1: a plate carrier but not a helmet, you're full of ship, 405 00:25:19,080 --> 00:25:21,240 Speaker 1: you're not in danger, and you just want to look cool, 406 00:25:21,680 --> 00:25:25,720 Speaker 1: because if you're actually afraid of getting shot, you don't 407 00:25:25,760 --> 00:25:29,760 Speaker 1: wear a fucking cowboy hat on your head. Also, if 408 00:25:29,760 --> 00:25:32,600 Speaker 1: you're actually care about your own safety while riding a horse, 409 00:25:32,920 --> 00:25:35,159 Speaker 1: you would you would wear a helmet as opposed to 410 00:25:35,200 --> 00:25:37,480 Speaker 1: a cowboy hat, because if you get bucked off that horse, 411 00:25:37,520 --> 00:25:40,240 Speaker 1: do you know what protection to cowboy hat offers? None? 412 00:25:42,080 --> 00:25:43,919 Speaker 1: He just he just and you can see in the 413 00:25:44,000 --> 00:25:46,439 Speaker 1: smile on his fucking face like this is his his 414 00:25:46,520 --> 00:25:51,280 Speaker 1: fucking dream ever since he was a kid. And I 415 00:25:51,320 --> 00:25:57,760 Speaker 1: just wish Geronimo would come back and deal with this motherfucker. Also, 416 00:25:57,760 --> 00:26:01,680 Speaker 1: it's a ship cowboy hat, like fuck you. Like everything 417 00:26:01,720 --> 00:26:05,919 Speaker 1: about these chuckle fox it's frustrating. Um, I don't know 418 00:26:06,000 --> 00:26:08,119 Speaker 1: where do we They're all right chaps that I'll give 419 00:26:08,160 --> 00:26:12,840 Speaker 1: them credit on the chaps. As a chap connoisseur, I've 420 00:26:12,840 --> 00:26:16,760 Speaker 1: seen worse, really really nailed the chaps. I'll take a 421 00:26:16,800 --> 00:26:19,080 Speaker 1: little brief intermission. I want to talk about this article 422 00:26:19,119 --> 00:26:22,760 Speaker 1: from the Washington Examiner that's terrible. Patient migrants revolt in 423 00:26:22,800 --> 00:26:26,760 Speaker 1: custody and seize control of privately contracted bus. And now, 424 00:26:26,800 --> 00:26:30,480 Speaker 1: first of all, hell, yeah, that sounds like quite a 425 00:26:30,560 --> 00:26:34,320 Speaker 1: story and maybe you know, one hopes they got away, right, 426 00:26:35,040 --> 00:26:38,160 Speaker 1: maybe maybe they I don't think it a free bus, 427 00:26:38,600 --> 00:26:42,160 Speaker 1: free bus. And it's just this, you know, it's obviously 428 00:26:42,200 --> 00:26:45,639 Speaker 1: framed to be like you gotta you're scared that migrants 429 00:26:45,680 --> 00:26:48,960 Speaker 1: taking the bus now they're here, um, and it's very fearmongering. 430 00:26:49,280 --> 00:26:52,239 Speaker 1: The last sentence of it reads, the two people who 431 00:26:52,280 --> 00:26:55,320 Speaker 1: confirmed the incident said law enforcement search for the escapees 432 00:26:55,359 --> 00:26:59,040 Speaker 1: and recaptured them. The primary source for this article was 433 00:26:59,080 --> 00:27:03,359 Speaker 1: from yesterday, and they had been recaptured by yesterday evening. 434 00:27:04,000 --> 00:27:07,200 Speaker 1: And it's just like very frustrating to see this kind 435 00:27:07,200 --> 00:27:09,480 Speaker 1: of thing, just like because obviously we're gonna share it around, like, 436 00:27:09,520 --> 00:27:15,240 Speaker 1: oh look what happened either for an afternoon. Yeah, and 437 00:27:15,280 --> 00:27:18,800 Speaker 1: like just like if if you're if your primary source 438 00:27:18,880 --> 00:27:22,240 Speaker 1: is an article from yesterday saying like that they were 439 00:27:22,280 --> 00:27:26,000 Speaker 1: recaptured almost immediately, and you say that in the article, 440 00:27:26,200 --> 00:27:29,760 Speaker 1: maybe don't what's the point and don't lead with without 441 00:27:29,840 --> 00:27:31,639 Speaker 1: that information. The point of the article obviously is to 442 00:27:31,800 --> 00:27:36,360 Speaker 1: like scare people exactly and anger people and and scare them. Uh. 443 00:27:36,400 --> 00:27:40,679 Speaker 1: And it was just very frustrating to see, uh a 444 00:27:40,720 --> 00:27:43,959 Speaker 1: person just be like look at this very this wow 445 00:27:44,040 --> 00:27:47,200 Speaker 1: breaking news like no, this is from yesterday, and you 446 00:27:47,200 --> 00:27:51,080 Speaker 1: you you didn't explain the a very relevant part of it. 447 00:27:51,520 --> 00:27:54,200 Speaker 1: Um and it's it's like not important in the grand 448 00:27:54,200 --> 00:27:56,760 Speaker 1: scheme of things, but I think it speaks to It 449 00:27:56,800 --> 00:27:59,080 Speaker 1: speaks to a lot of like how you gotta get 450 00:27:59,080 --> 00:28:01,840 Speaker 1: those fucking clicks? You know, yeah, you gotta get this. 451 00:28:02,000 --> 00:28:05,800 Speaker 1: Nothing matters more than that clicks. Yeah. Um, so I 452 00:28:05,800 --> 00:28:08,439 Speaker 1: guess don't click on that article is my point. You 453 00:28:08,440 --> 00:28:12,680 Speaker 1: don't click on the article. Don't have listened to this episode? Shit, 454 00:28:13,359 --> 00:28:15,960 Speaker 1: purge purge this from your brain, but not the part 455 00:28:15,960 --> 00:28:19,520 Speaker 1: to tell you not to click on that article perfectly said, 456 00:28:19,640 --> 00:28:26,440 Speaker 1: remember that, don't read m cool never anything. Well, shit, 457 00:28:26,600 --> 00:28:28,720 Speaker 1: what else are we doing? Do you guys want to 458 00:28:28,720 --> 00:28:32,639 Speaker 1: take an ad break? Now? It's you know who won't 459 00:28:33,920 --> 00:28:39,400 Speaker 1: do it for the clicks? Do it for the clicks, 460 00:28:40,360 --> 00:28:45,200 Speaker 1: like do it for the boys? Just do it? Okay? Click? Yes? 461 00:28:47,120 --> 00:28:49,320 Speaker 1: All right. When we come back, Katie and I will 462 00:28:49,320 --> 00:28:56,920 Speaker 1: sing the best hits of the eighties and early nineties together, 463 00:29:00,040 --> 00:29:13,440 Speaker 1: everything simply the best. So I have something, Yeah, how 464 00:29:13,440 --> 00:29:16,000 Speaker 1: do you are you guys familiar with the Herman Kane Awards? 465 00:29:16,000 --> 00:29:21,640 Speaker 1: Subredit no is it covid yeah, well, yes, of course. Yes. 466 00:29:21,800 --> 00:29:24,479 Speaker 1: It's like people who said covid is not a thing 467 00:29:24,520 --> 00:29:26,960 Speaker 1: and then tied of covid. Yeah, it's it's specifically, every 468 00:29:27,000 --> 00:29:30,120 Speaker 1: post is just sort of celebrating somebody who had yelled 469 00:29:30,160 --> 00:29:32,440 Speaker 1: about how covid isn't real or the vaccine isn't real 470 00:29:32,520 --> 00:29:39,000 Speaker 1: and then died. It's just that, and it's it's exploded 471 00:29:39,040 --> 00:29:41,520 Speaker 1: in popularity. There's a there's a Slate article about it 472 00:29:41,560 --> 00:29:44,600 Speaker 1: today that's kind of grappling with this, and it points out, quote, 473 00:29:44,600 --> 00:29:48,040 Speaker 1: subscriptions to the Herman Kane Awards subredit are increasing logarithmically 474 00:29:48,240 --> 00:29:50,840 Speaker 1: from two thousand subscribers Unjuly four to five thousand at 475 00:29:50,880 --> 00:29:52,800 Speaker 1: the beginning of August to more than a hundred thousand 476 00:29:52,800 --> 00:29:56,360 Speaker 1: on September one, to two hundred forty three thousand on Friday, 477 00:29:56,400 --> 00:30:01,560 Speaker 1: to two hundred seventy six thousand today. Um. That's outrage. 478 00:30:01,640 --> 00:30:04,800 Speaker 1: That's a massive that is an enormous rate of increase. 479 00:30:05,080 --> 00:30:08,320 Speaker 1: Um uh. And that is I just kind of want 480 00:30:08,320 --> 00:30:10,720 Speaker 1: to talk like, how do you how do you feel 481 00:30:10,720 --> 00:30:14,360 Speaker 1: about because I've been full disclosure, I've been dipping in 482 00:30:14,520 --> 00:30:17,800 Speaker 1: for like the last couple of weeks, so it is 483 00:30:18,600 --> 00:30:21,320 Speaker 1: to be clear, people making fun of people that have 484 00:30:21,720 --> 00:30:24,080 Speaker 1: died of COVID. It is making fun of people who 485 00:30:24,120 --> 00:30:27,280 Speaker 1: denied the reality of COVID or the efficacy of the vaccine. 486 00:30:27,320 --> 00:30:33,200 Speaker 1: And then it's not just like stan the appeal, but 487 00:30:33,440 --> 00:30:37,840 Speaker 1: it's a fucking tragedy. And it's tragic to me that 488 00:30:37,960 --> 00:30:42,560 Speaker 1: they so many of I mean, certainly there is certainly tragic, 489 00:30:42,680 --> 00:30:49,520 Speaker 1: ye s ghoulish people that um actively you know, spread disinformation, 490 00:30:49,960 --> 00:30:52,320 Speaker 1: that got and knew what they were doing and got 491 00:30:52,400 --> 00:30:56,600 Speaker 1: COVID and died. So many, so many, so many people 492 00:30:56,760 --> 00:30:59,440 Speaker 1: have just been swept up in this. It's really hard 493 00:30:59,480 --> 00:31:03,400 Speaker 1: political bide is m and it I don't like us 494 00:31:03,480 --> 00:31:06,280 Speaker 1: losing our humanity and losing side of the fact that 495 00:31:06,400 --> 00:31:09,120 Speaker 1: this is a tragedy. Our good friend, a good friend 496 00:31:09,120 --> 00:31:14,680 Speaker 1: of Cody's in mind, a cousin anti vax are passed 497 00:31:14,680 --> 00:31:17,720 Speaker 1: away this past week and of COVID and the whole 498 00:31:17,760 --> 00:31:20,840 Speaker 1: family's wrecked. And the whole rest of the family went 499 00:31:20,840 --> 00:31:25,520 Speaker 1: and got vaccinated and and so what happened, Yeah, they 500 00:31:25,520 --> 00:31:28,400 Speaker 1: all did. The people were resistant at least, So to 501 00:31:28,480 --> 00:31:32,200 Speaker 1: me it's like coming at like I I just I 502 00:31:32,280 --> 00:31:35,240 Speaker 1: know that it's fun too. And there's and like and 503 00:31:35,280 --> 00:31:38,920 Speaker 1: it's hard to wear angry and frustrated and these people 504 00:31:38,920 --> 00:31:42,680 Speaker 1: are keeping us from getting a handle on the pandemic. 505 00:31:43,040 --> 00:31:46,560 Speaker 1: It says something that the subredit is called like what 506 00:31:46,680 --> 00:31:54,120 Speaker 1: Herman Kine or Liker award because it's like a you know, uh, 507 00:31:54,320 --> 00:31:58,360 Speaker 1: public figure with a big platform and like spreading misinformation 508 00:31:58,760 --> 00:32:02,400 Speaker 1: uh in a possibly the way. And I think, I 509 00:32:02,400 --> 00:32:05,000 Speaker 1: don't know, it's important to sort of like recognize that, 510 00:32:05,080 --> 00:32:09,880 Speaker 1: like there are victims of misinformation who h it would 511 00:32:09,920 --> 00:32:12,800 Speaker 1: be great if fate didn't and if there you know, 512 00:32:12,960 --> 00:32:16,640 Speaker 1: political ideology didn't lean towards these other people. But like, 513 00:32:16,720 --> 00:32:18,160 Speaker 1: I don't know, I think there's a difference between like 514 00:32:18,200 --> 00:32:21,480 Speaker 1: if Tucker Carlson died of COVID, I'd be like, ha ha, 515 00:32:21,720 --> 00:32:26,040 Speaker 1: that would be fun. That would be amazingly. Yes, absolutely, 516 00:32:26,880 --> 00:32:28,720 Speaker 1: like random people who have been like worked up over 517 00:32:28,840 --> 00:32:33,600 Speaker 1: decades uh to like trust these fucking liars, yeah, and 518 00:32:33,600 --> 00:32:36,920 Speaker 1: these insidious ghouls uh to not do the thing that 519 00:32:36,960 --> 00:32:39,600 Speaker 1: they should be doing. I don't know. It's it's very 520 00:32:39,640 --> 00:32:42,960 Speaker 1: you're not wrong in that Cody. At the same time, 521 00:32:43,000 --> 00:32:46,400 Speaker 1: because again I'm try to be honest on this show. 522 00:32:46,520 --> 00:32:48,800 Speaker 1: I'm not a very good person and I've never pretended 523 00:32:48,800 --> 00:32:51,240 Speaker 1: to be. I have dipped in, especially on days when 524 00:32:51,240 --> 00:32:54,240 Speaker 1: I've gotten angriest. You know, I can. I can remember 525 00:32:54,320 --> 00:32:57,520 Speaker 1: my first My first warning sign of how truly bad 526 00:32:57,560 --> 00:32:59,440 Speaker 1: the pandemic was going to be was showing up at 527 00:32:59,440 --> 00:33:01,880 Speaker 1: the first Team mask Rawley in Oregon and seeing like 528 00:33:02,320 --> 00:33:05,520 Speaker 1: a crowd of armed people spitting on nurses, h and 529 00:33:05,720 --> 00:33:08,160 Speaker 1: doctors with signs that we're just saying please, we don't 530 00:33:08,160 --> 00:33:10,680 Speaker 1: want you to get sick um and calling them diaper mouth. 531 00:33:10,920 --> 00:33:15,200 Speaker 1: And there's an extent to which I won't defend morally. 532 00:33:15,240 --> 00:33:17,520 Speaker 1: I will defend morally making fun of Herman Kane because 533 00:33:17,520 --> 00:33:20,480 Speaker 1: motherfucker had plenty of chances to not do what he did. 534 00:33:22,200 --> 00:33:26,080 Speaker 1: There's like tears of people. I think, yes, yes, yes, 535 00:33:26,200 --> 00:33:27,840 Speaker 1: And and a lot of the people on the Herman 536 00:33:27,880 --> 00:33:30,440 Speaker 1: Caine Awards, suret are just like normal people who got 537 00:33:30,640 --> 00:33:33,000 Speaker 1: conned and and died as a result of it, and 538 00:33:33,040 --> 00:33:37,280 Speaker 1: that is sad. At the same time, their actions and 539 00:33:37,320 --> 00:33:40,360 Speaker 1: sort of the mass actions of this anti vaccine movement 540 00:33:40,360 --> 00:33:43,840 Speaker 1: have had a disastrous I have so many friends in 541 00:33:43,880 --> 00:33:47,480 Speaker 1: the life, events, business and stuff who are like a 542 00:33:48,000 --> 00:33:49,760 Speaker 1: very close friend of mine, like a partner of mine. 543 00:33:49,840 --> 00:33:53,040 Speaker 1: Is like it has been finally getting back to like 544 00:33:53,360 --> 00:33:56,840 Speaker 1: doing life events because there's ways to do the quasi 545 00:33:56,920 --> 00:34:01,560 Speaker 1: safely now, and was just overwhelmed with anxiety before getting 546 00:34:01,600 --> 00:34:03,360 Speaker 1: back to before getting on the plane. Point and and 547 00:34:03,440 --> 00:34:06,160 Speaker 1: she's vaxed. Everyone's vax They're doing everything they can to 548 00:34:06,240 --> 00:34:08,000 Speaker 1: be safe, and I think, like the example of Lalla 549 00:34:08,000 --> 00:34:10,239 Speaker 1: Baloosa shows like it can be done relatively safely, but 550 00:34:10,280 --> 00:34:13,600 Speaker 1: like the sheer level of fear that she had trying 551 00:34:13,640 --> 00:34:15,359 Speaker 1: to get back to her life, and the fact that 552 00:34:15,400 --> 00:34:18,120 Speaker 1: she lost a year of income um and a lot 553 00:34:18,160 --> 00:34:21,359 Speaker 1: of people did, And it's because of this bullshit. And 554 00:34:21,360 --> 00:34:26,320 Speaker 1: I guess I can't well, I can't morally defend laughing 555 00:34:26,360 --> 00:34:30,359 Speaker 1: at people who are just got conned. I also can't 556 00:34:30,360 --> 00:34:34,440 Speaker 1: condemn people who feel like they need that schadenfreude. Finally, 557 00:34:35,080 --> 00:34:37,839 Speaker 1: I think, I think you've made so many great points 558 00:34:37,840 --> 00:34:39,440 Speaker 1: that I agree with. Of course it's all true, and 559 00:34:39,440 --> 00:34:44,560 Speaker 1: I understand that desire, in that inclination and that anger. UM. 560 00:34:45,000 --> 00:34:52,759 Speaker 1: I I'm disturbed though, by seeing um dehumanization of each other. 561 00:34:53,320 --> 00:34:55,680 Speaker 1: And this piggybacks off a conversation we had last week 562 00:34:55,920 --> 00:34:59,720 Speaker 1: on even More News with Natalie Sure about the conversations 563 00:35:00,360 --> 00:35:08,359 Speaker 1: surrounding unvaccinated COVID patients and hospitals and insurance because many, many, 564 00:35:08,400 --> 00:35:12,120 Speaker 1: many liberals are out here saying, well, we're angry with them, 565 00:35:12,160 --> 00:35:15,880 Speaker 1: they're continuing this, they're the problem, their cope. We shouldn't 566 00:35:15,920 --> 00:35:19,439 Speaker 1: cover their stuff and their insurance shouldn't cover their stays, 567 00:35:19,560 --> 00:35:21,719 Speaker 1: or they shouldn't be allowed to take up space in 568 00:35:21,760 --> 00:35:23,960 Speaker 1: the hospitals, you know, coming at it from this that 569 00:35:24,120 --> 00:35:26,319 Speaker 1: side point, which to me sets off all of my 570 00:35:26,360 --> 00:35:29,960 Speaker 1: alarm bells because you're you're taking this anger and you're 571 00:35:30,040 --> 00:35:33,640 Speaker 1: going to a place that's an antithetical to what we 572 00:35:33,719 --> 00:35:37,200 Speaker 1: all talk about and believe in. And so that's what 573 00:35:37,280 --> 00:35:41,160 Speaker 1: I cautioned against when we go into these spaces and 574 00:35:41,160 --> 00:35:45,560 Speaker 1: and and and and are grappling with these conversations. Um is, 575 00:35:45,600 --> 00:35:50,040 Speaker 1: how do we honor our anger and frustration while also 576 00:35:50,120 --> 00:35:54,560 Speaker 1: maintaining our humanity because and maybe you don't want to, 577 00:35:54,800 --> 00:35:58,040 Speaker 1: And I get it, you know, I get it. It's 578 00:35:58,120 --> 00:36:02,439 Speaker 1: kind of like deciding to forgive or X because it's 579 00:36:02,480 --> 00:36:06,600 Speaker 1: better for you emotionally, you know what I mean? Yeah, 580 00:36:06,760 --> 00:36:09,200 Speaker 1: I don't know, I don't know. Did you guys see 581 00:36:09,200 --> 00:36:13,399 Speaker 1: that Breitbart article where they were talking about how we 582 00:36:13,440 --> 00:36:16,160 Speaker 1: want we want to trick people into taking the lifesaving 583 00:36:16,239 --> 00:36:18,320 Speaker 1: vaccine so that they don't take the lifesaving vaccine and 584 00:36:18,320 --> 00:36:21,839 Speaker 1: then if I can die. Yeah, it's incredible. Yeah, it's 585 00:36:21,840 --> 00:36:24,120 Speaker 1: like all of it. It's just a fucking mess. And 586 00:36:24,160 --> 00:36:26,080 Speaker 1: like obviously also like a lot of people who are like, 587 00:36:26,680 --> 00:36:29,880 Speaker 1: let's say vaccine. There are people who are vaccine hesitant 588 00:36:29,920 --> 00:36:33,120 Speaker 1: for various reasons, and a lot of them are uh 589 00:36:33,160 --> 00:36:37,239 Speaker 1: anti vax because of their political ideology and how it 590 00:36:37,320 --> 00:36:39,520 Speaker 1: aligns with the sort of trump Ist way of looking 591 00:36:39,560 --> 00:36:42,960 Speaker 1: at things, which is cruel, which is like like a 592 00:36:43,040 --> 00:36:46,359 Speaker 1: form of American fascism. And so I also understand people 593 00:36:46,400 --> 00:36:48,920 Speaker 1: who are like, well fuck those people, Um, but it 594 00:36:49,000 --> 00:36:54,000 Speaker 1: is really hard to paint everybody with one brush. And 595 00:36:54,520 --> 00:36:58,520 Speaker 1: straight up, if you think that, uh, we're tricking you 596 00:36:59,000 --> 00:37:01,120 Speaker 1: into thinking the vacs seen as good so that you 597 00:37:01,200 --> 00:37:05,480 Speaker 1: don't take it to die, take it, and then you 598 00:37:06,200 --> 00:37:09,000 Speaker 1: like you'll like I'll be so so embarrassed if you 599 00:37:09,000 --> 00:37:12,359 Speaker 1: take this and I can finally go back to an 600 00:37:12,360 --> 00:37:18,520 Speaker 1: indoor Please don't take this. Just unbelievably owned, like it's weird, 601 00:37:18,760 --> 00:37:23,799 Speaker 1: like worped reverse psychology, like like the should try it 602 00:37:23,840 --> 00:37:28,919 Speaker 1: should we make some commercials. It's so weird. Guys, Please 603 00:37:28,920 --> 00:37:32,279 Speaker 1: don't get vaccinated. Yeah, don't, please don't do it. We 604 00:37:32,320 --> 00:37:35,600 Speaker 1: don't want you to get vaccinated. It's just a complicated mess. 605 00:37:35,640 --> 00:37:39,600 Speaker 1: And I wouldn't you know, it's just again, it all 606 00:37:39,600 --> 00:37:42,520 Speaker 1: comes down to like Tucker Carlson has been vaccinated. There's 607 00:37:42,560 --> 00:37:45,320 Speaker 1: no question, one of the first people to get vaccinated. 608 00:37:45,360 --> 00:37:47,120 Speaker 1: And he's doing and he's killing people, that's what he's 609 00:37:47,520 --> 00:37:50,719 Speaker 1: what's going on right now, And they are you know, 610 00:37:50,880 --> 00:37:55,600 Speaker 1: and I don't know um and I don't know everybody's 611 00:37:55,600 --> 00:37:58,560 Speaker 1: individual story, but many of them have been fucking lied 612 00:37:58,600 --> 00:38:02,200 Speaker 1: to into this dangerous thing and it just sucks all around. 613 00:38:02,520 --> 00:38:04,960 Speaker 1: And they I mean, part of the complicated thing is that, 614 00:38:05,239 --> 00:38:09,800 Speaker 1: like the most effective disinformation spreads because somebody you, you trust, 615 00:38:10,200 --> 00:38:12,400 Speaker 1: tells it to you. That is the way it works. 616 00:38:12,640 --> 00:38:14,879 Speaker 1: So we talk about how it's these influencers, but it's 617 00:38:14,920 --> 00:38:18,360 Speaker 1: also these like these individuals who are dying, who are 618 00:38:18,400 --> 00:38:21,480 Speaker 1: saying it on Facebook to their two friends, are a 619 00:38:21,480 --> 00:38:24,680 Speaker 1: big part of the disinfo spread. They're just not as 620 00:38:24,760 --> 00:38:26,399 Speaker 1: much A part of the moral blame is that because 621 00:38:26,400 --> 00:38:28,400 Speaker 1: they're getting it from the big influencers. But they're the 622 00:38:28,400 --> 00:38:31,600 Speaker 1: ones who are convincing family members. It's true, But creating 623 00:38:31,600 --> 00:38:34,040 Speaker 1: a reddit to make fun of people like that isn't 624 00:38:34,120 --> 00:38:38,239 Speaker 1: changing anyone's mind, isn't changing the people that are influencing 625 00:38:38,280 --> 00:38:41,400 Speaker 1: their family members. It just pisces them off more, doesn't 626 00:38:41,760 --> 00:38:43,960 Speaker 1: Is there any hope of that? Like we've I feel 627 00:38:43,960 --> 00:38:46,720 Speaker 1: like we tried. I feel like we tried to change minds. 628 00:38:46,719 --> 00:38:49,680 Speaker 1: And I guess here's where I am is Like they 629 00:38:49,680 --> 00:38:52,879 Speaker 1: have the informations out there a tremendous amount, Like I've 630 00:38:52,920 --> 00:38:55,799 Speaker 1: been one of the people like publishing journalistic articles on 631 00:38:55,840 --> 00:38:57,799 Speaker 1: COVID disinformation, so have a lot of colleagues of mine. 632 00:38:57,840 --> 00:39:01,000 Speaker 1: It doesn't matter, it didn't help, So why I just 633 00:39:01,120 --> 00:39:04,600 Speaker 1: I can't. I can't say it's a good thing to do. 634 00:39:04,640 --> 00:39:08,319 Speaker 1: The Herman Kane Awards ship But um, I guess I 635 00:39:08,360 --> 00:39:11,640 Speaker 1: don't think people have any responsibility at this point to 636 00:39:11,800 --> 00:39:14,600 Speaker 1: care about fixing the problem because the problem is so 637 00:39:14,680 --> 00:39:17,600 Speaker 1: intractable and they have no ability to fix it. Like 638 00:39:17,960 --> 00:39:20,000 Speaker 1: at this point, maybe the best way to fix the 639 00:39:20,040 --> 00:39:22,239 Speaker 1: problem is for enough of these people to die that 640 00:39:22,320 --> 00:39:25,480 Speaker 1: the rest gets scared and get their fucking shot. Well, 641 00:39:25,520 --> 00:39:27,040 Speaker 1: I mean, that's the thing that was not how we 642 00:39:27,080 --> 00:39:29,879 Speaker 1: wanted it to be. But that is where we are where. 643 00:39:29,880 --> 00:39:32,719 Speaker 1: It's like almost every one of these stories is, uh, 644 00:39:32,840 --> 00:39:35,480 Speaker 1: somebody gets sick. Who said that, Like I don't know 645 00:39:35,520 --> 00:39:37,799 Speaker 1: whether it was a microchip or just like I don't know. 646 00:39:37,880 --> 00:39:40,719 Speaker 1: It's uh, you know, we don't have enough data about 647 00:39:40,840 --> 00:39:43,319 Speaker 1: like long term effects. Whatever the reasoning is. They don't 648 00:39:43,360 --> 00:39:47,400 Speaker 1: do it, they get sick. Uh, they die while saying 649 00:39:47,480 --> 00:39:49,800 Speaker 1: I should have gotten the vaccine and then five or 650 00:39:49,840 --> 00:39:52,200 Speaker 1: six of their family members and get the vaccine. I 651 00:39:52,239 --> 00:39:57,239 Speaker 1: don't know. It's just I just don't like what I'm 652 00:39:57,280 --> 00:40:02,400 Speaker 1: seeing in myself and in people that comes up with this, 653 00:40:02,560 --> 00:40:04,600 Speaker 1: you know, and and so that's what I want to 654 00:40:04,640 --> 00:40:08,680 Speaker 1: protect against in myself. But I do again understand and 655 00:40:09,440 --> 00:40:12,040 Speaker 1: um yeah, I mean I get it. I get the 656 00:40:12,160 --> 00:40:19,360 Speaker 1: alert and why it exists. It just yeah, it's not good. 657 00:40:19,719 --> 00:40:24,480 Speaker 1: It just something can be bad and also not really 658 00:40:24,520 --> 00:40:28,440 Speaker 1: our problem anymore. Like it's it's maybe maybe that's a 659 00:40:28,480 --> 00:40:33,759 Speaker 1: healthy mindset. Maybe I'm too codependent. It's not codependent. No, 660 00:40:33,920 --> 00:40:38,840 Speaker 1: I'm just making fun of myself. But like in general, 661 00:40:39,120 --> 00:40:42,319 Speaker 1: like like like healthy boundaries or something that I struggle with. 662 00:40:42,520 --> 00:40:45,600 Speaker 1: So when you said, like at a certain point, it's 663 00:40:45,600 --> 00:40:48,799 Speaker 1: not my problem anymore. I'm like, well that sounds healthy. Yeah. 664 00:40:48,920 --> 00:40:51,799 Speaker 1: If this had cropped up eight months ago, I would 665 00:40:51,800 --> 00:40:53,719 Speaker 1: have been like, this is fucked up. But like, my god, 666 00:40:53,760 --> 00:40:58,000 Speaker 1: they've had everything has been done, you know, Yeah, it's 667 00:40:58,080 --> 00:41:00,000 Speaker 1: very and like that's the thing that the people who 668 00:41:00,040 --> 00:41:02,920 Speaker 1: were like wilfully ignorant to, Like I saw Chris Rock 669 00:41:03,160 --> 00:41:06,279 Speaker 1: got covid um he has been vaccinated. He said like, hey, 670 00:41:06,320 --> 00:41:08,840 Speaker 1: it's got covid. You don't please get vaccinated. You you 671 00:41:08,880 --> 00:41:10,680 Speaker 1: don't want this because he's probably having a bad time, 672 00:41:11,640 --> 00:41:13,239 Speaker 1: probably would have had a much worse time if you 673 00:41:13,280 --> 00:41:17,359 Speaker 1: got vaccinated. I saw a fucking uh, what's the fucking guy, 674 00:41:17,480 --> 00:41:20,840 Speaker 1: Tim Pool. It was like, but Chris, I thought you 675 00:41:20,880 --> 00:41:23,200 Speaker 1: were vaccinated, and it's just like your will. It has 676 00:41:23,239 --> 00:41:27,719 Speaker 1: been so long. You know what the vaccine is for. 677 00:41:27,800 --> 00:41:30,040 Speaker 1: You know what it does. You know that if he 678 00:41:30,080 --> 00:41:32,640 Speaker 1: didn't get it, it it would probably much worse for him. 679 00:41:32,719 --> 00:41:34,600 Speaker 1: So like, what is what is the goal here? What 680 00:41:34,600 --> 00:41:36,640 Speaker 1: are you trying to do? Why are you trying to 681 00:41:37,280 --> 00:41:40,520 Speaker 1: sow this doubt in people when you know it's like 682 00:41:40,520 --> 00:41:42,880 Speaker 1: he been a year and a half, almost two years 683 00:41:42,880 --> 00:41:46,400 Speaker 1: at this point. Chris, Yeah, I mean it's definitely been 684 00:41:46,440 --> 00:41:49,240 Speaker 1: two years from when this was happening. It was spreading 685 00:41:49,239 --> 00:41:52,959 Speaker 1: in Wuhan this time, right, you know? But um, yeah, 686 00:41:53,080 --> 00:41:55,640 Speaker 1: I get and not to be like who what if? 687 00:41:56,120 --> 00:41:59,520 Speaker 1: I just I don't want there to be a variant 688 00:41:59,640 --> 00:42:04,239 Speaker 1: that is evading the vaccines that's evolved that we have 689 00:42:04,560 --> 00:42:07,080 Speaker 1: to go back into an entire other lockdown. That's the 690 00:42:07,080 --> 00:42:10,839 Speaker 1: other part of it is like you motherfucker's Yeah, well 691 00:42:10,880 --> 00:42:12,520 Speaker 1: at this point, like what is the lockdown'm gonna do? 692 00:42:12,560 --> 00:42:14,920 Speaker 1: It is gonna piss people off and then like not 693 00:42:15,000 --> 00:42:18,439 Speaker 1: be effective because it's not like people are gonna do it, right, Yeah, 694 00:42:18,480 --> 00:42:22,239 Speaker 1: I I don't know. That's I just want to sort 695 00:42:22,239 --> 00:42:24,880 Speaker 1: of echo like there is a helplessness about a lot 696 00:42:24,920 --> 00:42:26,839 Speaker 1: of this stuff where it's like it just feels like 697 00:42:27,400 --> 00:42:32,560 Speaker 1: what can be done? What can do? But I don't 698 00:42:32,600 --> 00:42:35,560 Speaker 1: want to end on that note. So I've got how 699 00:42:35,600 --> 00:42:37,759 Speaker 1: about how about you talk about I don't have it 700 00:42:37,840 --> 00:42:42,719 Speaker 1: right in front of me? The Texas doctor who went 701 00:42:42,800 --> 00:42:47,560 Speaker 1: ahead and done did an abortion and basically said come 702 00:42:47,600 --> 00:42:52,640 Speaker 1: at me, come at it, good dude, good dude, Alan 703 00:42:52,920 --> 00:42:59,080 Speaker 1: braid Uh And he is a San Antonio physician, and yeah, 704 00:42:59,239 --> 00:43:04,760 Speaker 1: he performed an abortion he told The Washington Post he 705 00:43:05,080 --> 00:43:07,319 Speaker 1: was just out there saying it basically, come and get me. 706 00:43:07,600 --> 00:43:11,319 Speaker 1: There were two, uh, lawsuits pretty quickly filed. And I 707 00:43:11,400 --> 00:43:17,160 Speaker 1: love this. Um. A former Arkansas lawyer, Oscar Stilly, who 708 00:43:17,280 --> 00:43:20,840 Speaker 1: said he is on home confinement serving time after a 709 00:43:20,960 --> 00:43:26,239 Speaker 1: tax fraud conviction, filed a civil complaint against the doctor 710 00:43:26,239 --> 00:43:29,760 Speaker 1: Monday and Bexar County District Court. He said he decided 711 00:43:29,800 --> 00:43:31,920 Speaker 1: to sue the doctor after he read about the case. 712 00:43:32,719 --> 00:43:35,560 Speaker 1: Uh oh, thank you, be heart. After he read about 713 00:43:35,560 --> 00:43:37,520 Speaker 1: the case early Monday morning and wanted to test the 714 00:43:37,560 --> 00:43:41,600 Speaker 1: Texas law. The doctor is gonna get sued. Mr Stilly said, 715 00:43:41,840 --> 00:43:44,160 Speaker 1: someone's going to get ten thousand off of him. If 716 00:43:44,200 --> 00:43:45,920 Speaker 1: that's the law, I might as well get the money. 717 00:43:46,640 --> 00:43:48,520 Speaker 1: It's not the law. Let's go to court and get 718 00:43:48,520 --> 00:43:53,120 Speaker 1: it sorted out. So, you know, I'm glad that he 719 00:43:53,360 --> 00:43:57,000 Speaker 1: has such strong moral convictions of someone's going to get 720 00:43:57,000 --> 00:43:59,360 Speaker 1: the money. It might as well be me while I 721 00:43:59,440 --> 00:44:05,680 Speaker 1: sit here serving time for my tax evasion. Beautiful. Yeah, 722 00:44:05,719 --> 00:44:10,680 Speaker 1: it's very funny, but this is you know, uh, what 723 00:44:12,360 --> 00:44:15,279 Speaker 1: we knew what happened, Like the only way that we 724 00:44:15,400 --> 00:44:20,080 Speaker 1: potentially see some changes here. UM or if this case 725 00:44:20,239 --> 00:44:22,920 Speaker 1: goes all the way to Supreme Court and on the 726 00:44:23,000 --> 00:44:26,960 Speaker 1: constitutionality of the law, because before they were talking about 727 00:44:27,000 --> 00:44:29,760 Speaker 1: they were just you know, going shrugging at a loophole. 728 00:44:29,800 --> 00:44:33,480 Speaker 1: But if this case goes, it would directly question whether 729 00:44:33,560 --> 00:44:37,760 Speaker 1: or not the law is constitutional. And that's something although 730 00:44:37,960 --> 00:44:44,200 Speaker 1: again the court is filled with people that fuck um. Also, 731 00:44:44,239 --> 00:44:48,000 Speaker 1: I believe it's December one that that other case directly 732 00:44:48,719 --> 00:44:54,440 Speaker 1: challenging Row will be seen. So fun things to look 733 00:44:55,160 --> 00:44:59,040 Speaker 1: on this more later, I'm sure, but I think that 734 00:44:59,120 --> 00:45:03,799 Speaker 1: now we covered an all bounce us for the day. Yeah, 735 00:45:03,880 --> 00:45:06,719 Speaker 1: we'll just talking about Amazon's factory towns in the future. Yeah, 736 00:45:06,760 --> 00:45:08,640 Speaker 1: we we have a lot to talk about. We also 737 00:45:08,680 --> 00:45:10,560 Speaker 1: need Yeah, we have a We'll talk about a lot 738 00:45:10,560 --> 00:45:13,200 Speaker 1: of good stuff in the future, but for right now. 739 00:45:14,120 --> 00:45:17,359 Speaker 1: You know what I want to talk about, Hm, Joe 740 00:45:17,440 --> 00:45:27,040 Speaker 1: mansions come, what God, Joe mansions come? Now? The consistency Cody, Katie, 741 00:45:28,200 --> 00:45:30,319 Speaker 1: do you did you guys ever do that thing where 742 00:45:30,320 --> 00:45:32,799 Speaker 1: you made like your own plato in uh in in 743 00:45:33,000 --> 00:45:37,200 Speaker 1: in elementary school. You're going to ruin my childhood with whatever. Now, 744 00:45:37,239 --> 00:45:41,480 Speaker 1: imagine if instead of using water for that, you used 745 00:45:41,640 --> 00:45:45,560 Speaker 1: raw milk, like raw goat milk straight from the utter. 746 00:45:46,400 --> 00:45:49,440 Speaker 1: That's the way Joe mansions come comes out. And I 747 00:45:49,440 --> 00:45:52,439 Speaker 1: imagine while he's coming, he sounds like an old man 748 00:45:52,560 --> 00:45:55,360 Speaker 1: with a prostate issue, Like he's like it hurts, like 749 00:45:55,440 --> 00:46:00,839 Speaker 1: he doesn't enjoy coming. Called masturbation, milking it yeah, yeah, 750 00:46:00,880 --> 00:46:04,800 Speaker 1: it's like pushing a soft boulder out of a foam wall. 751 00:46:05,160 --> 00:46:10,359 Speaker 1: It's it's horrible for him. I'm milking chunks over here. 752 00:46:11,120 --> 00:46:13,840 Speaker 1: That's that's that's what Joe Manchin says when he comes. 753 00:46:13,840 --> 00:46:17,360 Speaker 1: I'm milking some chunks, milking chunks. Hey, let's push the 754 00:46:17,400 --> 00:46:20,040 Speaker 1: meeting ten minutes. I got some chunks to milk out. 755 00:46:20,920 --> 00:46:24,240 Speaker 1: Then he puts him in his coffee. Man. My cameras 756 00:46:24,239 --> 00:46:26,640 Speaker 1: off so you couldn't see, but I crawled under the desk. 757 00:46:26,960 --> 00:46:30,120 Speaker 1: That's the end of the episode. Good God, bless you all. 758 00:46:30,360 --> 00:46:45,160 Speaker 1: Good d you sir, everyone, everything I tried, lovely