1 00:00:00,160 --> 00:00:03,560 Speaker 1: Welcome to Worst Year Ever, A production of I Heart Radio. 2 00:00:06,680 --> 00:00:21,680 Speaker 1: Welcome you get Everything, so don't don't don't. Welcome back 3 00:00:21,760 --> 00:00:27,880 Speaker 1: from space, Space from Space, No Cody, Welcome back from 4 00:00:28,040 --> 00:00:34,920 Speaker 1: Jam which one one or two? Second Jam? Yeah, the 5 00:00:34,960 --> 00:00:40,160 Speaker 1: second Jam. So much space news this week and Slam 6 00:00:40,200 --> 00:00:44,880 Speaker 1: and helcome Welcome to the Jam. Bugs Bunny died, Une 7 00:00:44,960 --> 00:00:48,760 Speaker 1: Bugs Bunny did die? Actually spoilers for Space Jam two. 8 00:00:49,200 --> 00:00:56,320 Speaker 1: Sorry so much giving spoilers for what happened in my 9 00:00:56,360 --> 00:00:59,800 Speaker 1: garage last night, But I guess I haven't. Bugs. Bunny 10 00:00:59,840 --> 00:01:03,840 Speaker 1: did verified his thumb prints. Remember you do? But you 11 00:01:03,920 --> 00:01:06,959 Speaker 1: do have a Bunny in your freezer, don't you? Oh? No, 12 00:01:07,040 --> 00:01:10,360 Speaker 1: I ate it last night. There we go. Sorry sorry, sorry, 13 00:01:10,640 --> 00:01:17,520 Speaker 1: very chaotic intro. Perhaps we should start, I thought I 14 00:01:17,560 --> 00:01:23,520 Speaker 1: thought we had started. Come on and Slam, Welcome to 15 00:01:23,680 --> 00:01:30,560 Speaker 1: where you're ever Garrison's here today with us? Yeah, Garrison, Hello, Hi, 16 00:01:30,720 --> 00:01:35,240 Speaker 1: Hi Garrison Garrison. What are the youths? What are the 17 00:01:35,280 --> 00:01:38,560 Speaker 1: youths on about today? Um? Are they still into the 18 00:01:38,600 --> 00:01:42,080 Speaker 1: dub step? Actually, I am planning. I'm planning to going 19 00:01:42,120 --> 00:01:47,520 Speaker 1: to a dub step tonight. Am. I am plugged into 20 00:01:47,600 --> 00:01:50,240 Speaker 1: the youth man. You really just pulled that out of 21 00:01:50,280 --> 00:01:53,120 Speaker 1: the ethers. Didn't thank you, thank you. I know what 22 00:01:53,160 --> 00:01:56,440 Speaker 1: the kids want. I'm bringing approximately four lightsabers. It's going 23 00:01:56,520 --> 00:01:58,760 Speaker 1: to be a blast. Yep. That sounds right for the 24 00:01:58,800 --> 00:02:03,760 Speaker 1: youth's yep. I'm so excited that lightsaber is a synonym 25 00:02:03,840 --> 00:02:09,800 Speaker 1: for ecstasy, right, Garrison. No, I'm just bringing four lasers. Okay, 26 00:02:09,840 --> 00:02:13,160 Speaker 1: then then things have changed since my day. Is this 27 00:02:13,280 --> 00:02:16,799 Speaker 1: something that other youths do a lot of dub stuff 28 00:02:17,200 --> 00:02:21,919 Speaker 1: parts with lightsabers. That's a good question, Katie. Um, I 29 00:02:22,000 --> 00:02:24,120 Speaker 1: have no idea, you're like, and I'm not going to 30 00:02:24,160 --> 00:02:26,560 Speaker 1: answer it. I have no idea. I don't know. There 31 00:02:26,639 --> 00:02:29,200 Speaker 1: was last time I went was last week and there 32 00:02:29,240 --> 00:02:32,400 Speaker 1: was a decent mix of of of youths and old 33 00:02:32,440 --> 00:02:34,920 Speaker 1: people like gen X. I'll tell you what it sounds like, 34 00:02:34,919 --> 00:02:36,360 Speaker 1: the kind of youths I would have liked to have 35 00:02:36,360 --> 00:02:39,959 Speaker 1: been around. Yeah, it's it's a blast. I get to 36 00:02:40,040 --> 00:02:44,839 Speaker 1: hit people with my expensive glow sticks. I'm listen to music. Yeah, 37 00:02:44,919 --> 00:02:50,280 Speaker 1: it's fine, it's great. Harrison does have very expensive lightsabers. Um, 38 00:02:50,400 --> 00:02:55,120 Speaker 1: you know what else is expensive? Going to space? Yeah? Yeah, 39 00:02:55,160 --> 00:03:01,520 Speaker 1: but not yeah, not barely into space unless you're like 40 00:03:01,600 --> 00:03:06,919 Speaker 1: pissing into a diaper. Uh, to up air staring at 41 00:03:06,960 --> 00:03:09,720 Speaker 1: a pale blue dot that contains all of human history. 42 00:03:09,760 --> 00:03:13,800 Speaker 1: You're not really in space? Is My argument? Is that 43 00:03:13,919 --> 00:03:18,120 Speaker 1: why Bezos came back. He didn't quite like get it, 44 00:03:18,320 --> 00:03:20,280 Speaker 1: and he like got No. I think he got that. 45 00:03:23,240 --> 00:03:26,000 Speaker 1: I don't think anything would give him a real realization 46 00:03:26,040 --> 00:03:30,800 Speaker 1: because I think, uh, he's already accepted that everything valuable 47 00:03:30,880 --> 00:03:33,960 Speaker 1: in human history is contained within his little head. Can 48 00:03:34,080 --> 00:03:38,080 Speaker 1: I ask a timing question? Yea, I know that he 49 00:03:38,960 --> 00:03:43,960 Speaker 1: went to the edge of space, and I know that, Um, 50 00:03:44,080 --> 00:03:48,360 Speaker 1: he talked about how now he thinks we should shoot 51 00:03:48,560 --> 00:03:52,360 Speaker 1: things into space. All of our industry and the pollution 52 00:03:53,160 --> 00:03:55,760 Speaker 1: put in the stays, and so you're talking about this 53 00:03:55,800 --> 00:03:58,680 Speaker 1: is the epiphany he had whilst in space, is let's 54 00:03:58,800 --> 00:04:03,440 Speaker 1: destroy space? Yes, yeah, face, I mean I've had that 55 00:04:03,520 --> 00:04:06,320 Speaker 1: epiphany from the ground a number of times, which is 56 00:04:06,320 --> 00:04:09,280 Speaker 1: why we we have to blow up the moon. But 57 00:04:09,320 --> 00:04:11,560 Speaker 1: we have to blow up the moon. Everyone can agree 58 00:04:11,560 --> 00:04:13,680 Speaker 1: with that. So there's this thing called the overview effect. 59 00:04:13,720 --> 00:04:15,320 Speaker 1: I don't know if you've talked about this show, have 60 00:04:15,520 --> 00:04:19,080 Speaker 1: like on this show? Okay, yeah, I can never stop exactly. 61 00:04:19,080 --> 00:04:22,200 Speaker 1: It's an amazing thing that I wish people could experience. 62 00:04:22,640 --> 00:04:29,080 Speaker 1: Um and Bezos like got like halfway there. He's like, oh, 63 00:04:29,160 --> 00:04:31,599 Speaker 1: you know, there's this beautiful gem we need to we 64 00:04:31,640 --> 00:04:35,320 Speaker 1: need to preserve it by polluting space. Like no, like, 65 00:04:35,320 --> 00:04:37,839 Speaker 1: we're not gonna slow down, We're not gonna like really 66 00:04:37,839 --> 00:04:40,719 Speaker 1: like reallocator resources. We're not going to change anything about 67 00:04:40,760 --> 00:04:46,200 Speaker 1: how we operate except for in space. Now it's using 68 00:04:46,279 --> 00:04:50,800 Speaker 1: Its beautiful and funny and awful. It's hilarious. It's the 69 00:04:50,800 --> 00:04:53,080 Speaker 1: best pretty thing you could have said. Like, it's it's 70 00:04:53,080 --> 00:04:55,360 Speaker 1: pretty expected. I actually I read a book on this 71 00:04:55,440 --> 00:05:00,160 Speaker 1: very topic a few months ago in past No, like 72 00:05:00,560 --> 00:05:02,800 Speaker 1: the whole how we're going to use a space how 73 00:05:03,080 --> 00:05:06,200 Speaker 1: tech capitalists are going to use space exploration as a 74 00:05:06,240 --> 00:05:09,400 Speaker 1: way to falsely fixed climate change and it's going to 75 00:05:09,480 --> 00:05:13,120 Speaker 1: make stuff a whole lot worse. Um yeah. In preparation 76 00:05:13,200 --> 00:05:15,480 Speaker 1: for a new project, I read a whole book on this, 77 00:05:15,560 --> 00:05:18,200 Speaker 1: and it's not fun. Especially when they start working together 78 00:05:18,240 --> 00:05:21,080 Speaker 1: with the military to put more ship in space. Um 79 00:05:21,240 --> 00:05:23,479 Speaker 1: it's not going to be a good time, say horseship 80 00:05:23,520 --> 00:05:30,080 Speaker 1: in space just to put more more um yeah, all 81 00:05:30,120 --> 00:05:33,160 Speaker 1: of that because I just thought, like it doesn't matter, 82 00:05:33,560 --> 00:05:39,120 Speaker 1: don't go down that um yeah. Heck, yeah, guys. Good 83 00:05:39,200 --> 00:05:42,000 Speaker 1: for Jeff and his realization that we need to pollute space. 84 00:05:42,480 --> 00:05:45,000 Speaker 1: He did it. Good for him. We did not. We 85 00:05:45,080 --> 00:05:48,400 Speaker 1: did not need the amount of like news alerts and 86 00:05:48,880 --> 00:05:52,680 Speaker 1: in amount of like spacelet's on our social media feeds 87 00:05:52,720 --> 00:05:54,479 Speaker 1: to tell us that he went to space for ten minutes, 88 00:05:54,520 --> 00:05:59,200 Speaker 1: like I don't care. There was also in solidarity with 89 00:05:59,279 --> 00:06:02,880 Speaker 1: my yeas, in solidarity with with my youth comrades. There 90 00:06:02,960 --> 00:06:05,000 Speaker 1: was there was an eighteen year old who's now the 91 00:06:05,040 --> 00:06:08,400 Speaker 1: youngest person in space, an eight senior old who got 92 00:06:08,440 --> 00:06:12,920 Speaker 1: to go because some fucking rich person had a scheduling conflict. 93 00:06:13,080 --> 00:06:21,080 Speaker 1: Scheduling conflict and enough money. That over scheduling thing I've 94 00:06:21,120 --> 00:06:25,280 Speaker 1: ever seen in my life. I think that it's so funny. 95 00:06:25,400 --> 00:06:27,680 Speaker 1: I didn't have a Do you think he got cold feet? 96 00:06:29,480 --> 00:06:32,240 Speaker 1: How do you what? What kind of conflict comes up 97 00:06:32,320 --> 00:06:34,320 Speaker 1: with the one time you get to go to the 98 00:06:34,400 --> 00:06:37,000 Speaker 1: edge of space? But it's not for I bet he's 99 00:06:37,000 --> 00:06:42,000 Speaker 1: got another couple of millions is to go again that 100 00:06:42,120 --> 00:06:45,120 Speaker 1: you wish illness on a person, But like, do you 101 00:06:45,200 --> 00:06:47,680 Speaker 1: have like a surgery that's like is there like a 102 00:06:47,720 --> 00:06:52,400 Speaker 1: metal got covid? I'll tell you what it is. He 103 00:06:52,520 --> 00:06:55,200 Speaker 1: had a business meeting that was worth more than twenty 104 00:06:55,240 --> 00:06:59,120 Speaker 1: eight million dollars. Like the thing that he was doing 105 00:06:59,200 --> 00:07:01,120 Speaker 1: instead of going to space is going to make him 106 00:07:01,160 --> 00:07:03,480 Speaker 1: more than he blew on space because he's someone for him. 107 00:07:03,480 --> 00:07:06,719 Speaker 1: Twenty eight dollars is like us spending forty dollars where 108 00:07:06,720 --> 00:07:09,320 Speaker 1: it's like, yeah, it's not nothing, but like you know, 109 00:07:09,400 --> 00:07:11,160 Speaker 1: if I got to cancel on a night, you know, 110 00:07:11,240 --> 00:07:13,920 Speaker 1: sometimes up going to make a hundred dollars to day, 111 00:07:13,960 --> 00:07:19,240 Speaker 1: and yet that is chilling. Yeah, that's how they are. 112 00:07:19,560 --> 00:07:23,680 Speaker 1: That's that's the situation. Like I can't even like how 113 00:07:23,760 --> 00:07:26,640 Speaker 1: much money did Bezos make while he was floating into 114 00:07:26,680 --> 00:07:30,600 Speaker 1: almost space. More than a million dollars dollars? I mean, 115 00:07:30,680 --> 00:07:34,280 Speaker 1: the scheduling conflict announcement was the most out of touch 116 00:07:34,320 --> 00:07:38,160 Speaker 1: thing I've heard until Jeff Bezos thanked his Amazon employees 117 00:07:38,240 --> 00:07:45,160 Speaker 1: for customers for funding for it direct quote um also 118 00:07:45,200 --> 00:07:51,840 Speaker 1: not to not to you know, stoke some intergenerational finally 119 00:07:51,840 --> 00:07:55,840 Speaker 1: going after the oldest person ever to fly in space 120 00:07:55,960 --> 00:07:59,320 Speaker 1: was also on that flight. Yeah, they got Wally Funk, 121 00:07:59,400 --> 00:08:04,360 Speaker 1: They got the whole oldest, youngest, richest. Those are the 122 00:08:04,440 --> 00:08:07,200 Speaker 1: three categories. And the cool thing about the youngest. Is 123 00:08:07,240 --> 00:08:10,480 Speaker 1: that like they didn't like pick some like random kid 124 00:08:10,560 --> 00:08:13,440 Speaker 1: who was good at science or anything, like the guy's 125 00:08:13,520 --> 00:08:16,200 Speaker 1: dad is like the chief executive of a private investor 126 00:08:16,480 --> 00:08:19,440 Speaker 1: of a private equity investment firm. Like it's just some 127 00:08:19,600 --> 00:08:23,240 Speaker 1: rich kid dad like nose basis that's the cool thing. 128 00:08:24,360 --> 00:08:26,680 Speaker 1: It's not like even a kid who like likes space 129 00:08:26,840 --> 00:08:30,400 Speaker 1: or science. It's like, oh yeah, here's like it wasn't 130 00:08:30,440 --> 00:08:36,320 Speaker 1: like like a space camp lottery. No, you some teenager. Yeah, 131 00:08:36,600 --> 00:08:39,560 Speaker 1: but the only way, man, I really hoped it was 132 00:08:39,600 --> 00:08:42,880 Speaker 1: someone deserving of it. No, it's so much worse. I 133 00:08:42,920 --> 00:08:46,000 Speaker 1: will guarantee you there's some fucking eighteen or nineteen year 134 00:08:46,000 --> 00:08:48,400 Speaker 1: old out there who like, is part of a school 135 00:08:48,440 --> 00:08:52,080 Speaker 1: project designed a new kind of foam that has implications 136 00:08:52,120 --> 00:08:54,760 Speaker 1: for space travel, and instead of picking him, they went 137 00:08:54,800 --> 00:08:57,400 Speaker 1: with a rich kid like there or her, Like, there's 138 00:08:57,440 --> 00:09:01,040 Speaker 1: some teenager who's actually invented something for space. It happens, 139 00:09:01,360 --> 00:09:03,640 Speaker 1: would have gained like so much from this experiece who 140 00:09:03,760 --> 00:09:05,880 Speaker 1: this would have This would have made their young life 141 00:09:05,960 --> 00:09:09,600 Speaker 1: and would have set them off, inspired them more in 142 00:09:09,640 --> 00:09:12,640 Speaker 1: the field, would have would have reaped huge dip. But instead, 143 00:09:12,720 --> 00:09:14,640 Speaker 1: this kid's just gonna get fucked because he went to 144 00:09:14,720 --> 00:09:18,200 Speaker 1: space right and right exactly, and he got to be 145 00:09:18,240 --> 00:09:20,200 Speaker 1: there when Jeff Bezos realized the way to save the 146 00:09:20,200 --> 00:09:23,760 Speaker 1: world is to just move over a revolution to space. Yeah, 147 00:09:23,800 --> 00:09:26,720 Speaker 1: I think. Yeah, It's like Jeff Bezos the night before 148 00:09:26,840 --> 00:09:30,200 Speaker 1: was reading a book about how Stalin had all of 149 00:09:30,240 --> 00:09:34,680 Speaker 1: the fucking Russian arms factories moved to the Caucasus mountains 150 00:09:34,760 --> 00:09:37,080 Speaker 1: during Operation Barbarossa and was like, what if we did 151 00:09:37,080 --> 00:09:41,319 Speaker 1: that for climate change our ship into space because we've 152 00:09:41,360 --> 00:09:45,200 Speaker 1: got a problem. And I clear like he knew what 153 00:09:45,240 --> 00:09:47,760 Speaker 1: he wanted to do and was going to say, and 154 00:09:47,840 --> 00:09:51,199 Speaker 1: knew about like the over like who's asked beforehand by 155 00:09:51,240 --> 00:09:52,559 Speaker 1: many people like what do you think it's going to 156 00:09:52,679 --> 00:09:54,160 Speaker 1: change about you? Do you think it's gonna like alter 157 00:09:54,240 --> 00:09:57,200 Speaker 1: your your perspective? And so he knew that's what's supposed 158 00:09:57,240 --> 00:10:01,640 Speaker 1: to happen. Yeah, So he's like, well, okay, I'll well, 159 00:10:01,679 --> 00:10:03,520 Speaker 1: I got I got something, I got something I can say, 160 00:10:03,800 --> 00:10:06,600 Speaker 1: and it's this. Um I bet he read that book 161 00:10:06,640 --> 00:10:12,679 Speaker 1: Garrison was talking about before. He was like, yeah, I'm 162 00:10:12,720 --> 00:10:16,120 Speaker 1: going to get ahead of this brilliant Yep. It's a 163 00:10:16,160 --> 00:10:19,480 Speaker 1: shame because I mean he's incapable I think of experiencing 164 00:10:19,480 --> 00:10:21,960 Speaker 1: the overview effect because one of the things that bonded 165 00:10:21,960 --> 00:10:24,720 Speaker 1: all of the original astronauts together is that none of 166 00:10:24,720 --> 00:10:28,319 Speaker 1: them were psychopaths. Just like just like why you saw 167 00:10:28,440 --> 00:10:31,240 Speaker 1: despite as much ugliness as going on in the Cold War, whenever, 168 00:10:31,280 --> 00:10:35,199 Speaker 1: like cosmonauts and astronauts were like together in space. There's like, well, 169 00:10:35,320 --> 00:10:38,119 Speaker 1: all we actually care about is space stuff like the politics, 170 00:10:38,200 --> 00:10:42,000 Speaker 1: Like he gives a ship. Yeah, all the lines disappear 171 00:10:42,040 --> 00:10:45,400 Speaker 1: because you realize that everything that has ever existed for 172 00:10:45,520 --> 00:10:48,200 Speaker 1: human beings, uh, you can cover with your thumb. And 173 00:10:48,240 --> 00:10:52,640 Speaker 1: that's profoundly changing two people with a soul. Um. I 174 00:10:52,679 --> 00:10:59,000 Speaker 1: don't think any of the billionaires primary driver into whom 175 00:10:59,480 --> 00:11:02,880 Speaker 1: like all of those people as well, Um, we're we're 176 00:11:02,920 --> 00:11:06,280 Speaker 1: ready to die for just for the chance to travel 177 00:11:06,320 --> 00:11:08,920 Speaker 1: into space. And a lot of them did die trying 178 00:11:08,960 --> 00:11:11,360 Speaker 1: to get into space. And there was never any chance 179 00:11:11,400 --> 00:11:13,760 Speaker 1: of anything really going wrong with this, right. It's it's 180 00:11:13,840 --> 00:11:17,160 Speaker 1: it's like a real like like significantly, it's a passion 181 00:11:17,200 --> 00:11:20,960 Speaker 1: for space and science and exploration. Not I always wanted 182 00:11:20,960 --> 00:11:25,720 Speaker 1: to go to space, so yeahline and the risk was 183 00:11:25,800 --> 00:11:29,680 Speaker 1: worth a lifelong passion. The original astronauts were like setting 184 00:11:29,760 --> 00:11:35,280 Speaker 1: up fucking like weird kind of quasi polly arrangements so 185 00:11:35,320 --> 00:11:38,040 Speaker 1: that when a bunch of them died, their wives wouldn't 186 00:11:38,040 --> 00:11:40,760 Speaker 1: be alone because they like, we're going into space knowing 187 00:11:40,760 --> 00:11:42,920 Speaker 1: like I might abandon my family forever because a lot 188 00:11:42,960 --> 00:11:45,640 Speaker 1: of us are going to die in the pursuit of 189 00:11:45,640 --> 00:11:50,600 Speaker 1: this incredible endeavor. Uh And that makes sense. Yeah, for 190 00:11:50,679 --> 00:11:54,480 Speaker 1: Jeff Bezos, it was like an afternoon um. Yeah, like 191 00:11:54,600 --> 00:11:57,400 Speaker 1: it it's there's all of the for all, there's obviously 192 00:11:57,640 --> 00:12:00,160 Speaker 1: plenty of things to criticize. There's that great poem why 193 00:12:00,160 --> 00:12:02,760 Speaker 1: on the Moon about you know, blowing all these resources 194 00:12:02,840 --> 00:12:05,040 Speaker 1: during the civil rights movement on a fucking getting a 195 00:12:05,040 --> 00:12:07,480 Speaker 1: white guy on the moon. But in spite of all that, 196 00:12:07,520 --> 00:12:11,320 Speaker 1: there's still this incredible story of like human beings being 197 00:12:11,840 --> 00:12:15,880 Speaker 1: willing to die for exploration and exploration. Finally, that wasn't 198 00:12:15,960 --> 00:12:19,400 Speaker 1: based on exploitation purely. That was based on just the 199 00:12:19,440 --> 00:12:22,600 Speaker 1: desire to do something incredible and difficult. And there's there's 200 00:12:22,640 --> 00:12:25,720 Speaker 1: a lot of moving history there which is completely absent 201 00:12:26,360 --> 00:12:29,680 Speaker 1: before now we are moved onto the exploiting thing that 202 00:12:29,760 --> 00:12:31,319 Speaker 1: was that was yeah, I mean there were that was 203 00:12:31,360 --> 00:12:33,280 Speaker 1: a part of it, Like the conflict was a part 204 00:12:33,280 --> 00:12:35,600 Speaker 1: of it, but it was also like it was a 205 00:12:35,640 --> 00:12:38,079 Speaker 1: lot deeper than that, and the way it inspired people 206 00:12:38,120 --> 00:12:40,280 Speaker 1: was deeper than that. And no one's going to be inspired. 207 00:12:40,280 --> 00:12:43,680 Speaker 1: But you're not gonna get Gene Roddenberry writing a fucking 208 00:12:43,720 --> 00:12:45,400 Speaker 1: Star Trek type thing out of this. I'm not going 209 00:12:45,480 --> 00:12:49,240 Speaker 1: to get anybody reimagining what human futures can be in 210 00:12:49,280 --> 00:12:53,280 Speaker 1: an optimistic mirror out of it or something. Well probably, 211 00:12:53,280 --> 00:12:55,200 Speaker 1: I mean, but they don't make black mirror anymore because 212 00:12:55,200 --> 00:13:00,840 Speaker 1: the world's too dark. Um um. The inspired by the 213 00:13:00,840 --> 00:13:04,560 Speaker 1: space race and this is just gross to me. To 214 00:13:04,600 --> 00:13:07,400 Speaker 1: be fair. You say, no one's going to be inspired, 215 00:13:07,440 --> 00:13:10,000 Speaker 1: but did you hear what the former head of NASA 216 00:13:10,120 --> 00:13:16,760 Speaker 1: under Trump, oh, speaking about Whitey on the moon. My god, 217 00:13:18,200 --> 00:13:22,200 Speaker 1: well share share He said that Jeff Bez is going 218 00:13:22,240 --> 00:13:27,000 Speaker 1: to space any like it's one less black kid. Uh, 219 00:13:27,400 --> 00:13:32,600 Speaker 1: turning to like gun violence with the kids. Only option 220 00:13:32,800 --> 00:13:36,000 Speaker 1: was to be shooting someone in Compton or fucking in 221 00:13:36,200 --> 00:13:43,400 Speaker 1: space out of here. Uh yeah, incredible. Now they won't 222 00:13:43,440 --> 00:13:50,440 Speaker 1: turn the guns cool and good. Yeah, it's it's the best. Yeah. Yeah, 223 00:13:50,920 --> 00:13:54,000 Speaker 1: it's like this thing on I don't know, I we 224 00:13:54,040 --> 00:13:57,160 Speaker 1: should not it's weird looking at all these people saying 225 00:13:57,160 --> 00:13:59,400 Speaker 1: these bad things like oh yeah, the fascist people said 226 00:13:59,400 --> 00:14:04,880 Speaker 1: the fascist that's so absurd, um, But I mean, yeah, yeah, 227 00:14:06,280 --> 00:14:11,120 Speaker 1: saying it out loud, and yeah, it's they do they love, 228 00:14:11,200 --> 00:14:15,640 Speaker 1: they love occasionally saying everything out in the open, the 229 00:14:15,720 --> 00:14:22,920 Speaker 1: quiet part lot. Yeah. You know, I'm continually disappointed by 230 00:14:23,240 --> 00:14:28,640 Speaker 1: the lack of anyone to imagine a positive future. I 231 00:14:28,640 --> 00:14:31,160 Speaker 1: know I harp on this a lot, but it's like this, 232 00:14:31,160 --> 00:14:33,920 Speaker 1: this bes O ship is like a perfect exemplar of that, 233 00:14:34,000 --> 00:14:36,600 Speaker 1: because this guy, with all the resources in the world, 234 00:14:37,120 --> 00:14:40,200 Speaker 1: looks out in at infinity and the only thing he 235 00:14:40,240 --> 00:14:45,920 Speaker 1: can imagine is factories. But on the moon, like it's 236 00:14:46,040 --> 00:14:51,080 Speaker 1: so bleak. That's like heartbreaking. Um. Just the fact that, 237 00:14:51,200 --> 00:14:53,400 Speaker 1: I mean, the thing that's been beaten to death that 238 00:14:53,480 --> 00:14:56,440 Speaker 1: we've all talked about. But yeah, how much money went 239 00:14:56,480 --> 00:14:59,320 Speaker 1: into that When things are so bad here and you 240 00:14:59,400 --> 00:15:01,360 Speaker 1: come back with or answer to shoot it all out 241 00:15:01,400 --> 00:15:05,280 Speaker 1: into space, coming like sweat a waste and ever. I've 242 00:15:05,320 --> 00:15:07,640 Speaker 1: said this before and I'll keep saying it, is that 243 00:15:07,800 --> 00:15:12,000 Speaker 1: every day my climate, my anxiety about what's happening and 244 00:15:12,040 --> 00:15:16,680 Speaker 1: what we're not doing, intensifying, and it is horrifying. It's hard. 245 00:15:16,800 --> 00:15:18,720 Speaker 1: It's easy to make jokes, but it is hard to 246 00:15:18,720 --> 00:15:21,160 Speaker 1: watch that and have any sort of employment and might 247 00:15:21,320 --> 00:15:24,480 Speaker 1: be thinking about what the funk are we doing. I 248 00:15:24,520 --> 00:15:28,480 Speaker 1: got up this day, this today, and I saw, you know, 249 00:15:28,600 --> 00:15:30,600 Speaker 1: I didn't seek it out, but there was on Twitter 250 00:15:30,640 --> 00:15:34,040 Speaker 1: footage of like the rocket and Bezos afterwards and ship 251 00:15:34,560 --> 00:15:38,360 Speaker 1: and at the same time there was horrifying footage of 252 00:15:38,360 --> 00:15:42,480 Speaker 1: a flooding subway in China. Um and it it's just 253 00:15:42,600 --> 00:15:45,600 Speaker 1: it was just perfect in terms of like, yep, this 254 00:15:45,640 --> 00:15:47,560 Speaker 1: is what we're gonna do. The people with money are 255 00:15:47,600 --> 00:15:49,560 Speaker 1: going to try and take all of the things that 256 00:15:49,600 --> 00:15:53,239 Speaker 1: have rendered huge chunks of the earth at least less habitable, 257 00:15:53,600 --> 00:15:55,720 Speaker 1: um and in many cases uninhabitable, and they're just going 258 00:15:55,760 --> 00:15:58,280 Speaker 1: to shoot that stuff into space to continue making money 259 00:15:58,560 --> 00:16:01,080 Speaker 1: and avoid learning any kind of essence or altering the 260 00:16:01,120 --> 00:16:04,480 Speaker 1: way that society works in order to make things better 261 00:16:04,520 --> 00:16:06,600 Speaker 1: for people on Earth because that would mean they have 262 00:16:07,200 --> 00:16:11,720 Speaker 1: less power over everyone around them. Um And it's it's bad. 263 00:16:11,880 --> 00:16:14,840 Speaker 1: The largest wildfire currently burning in the United States and 264 00:16:14,920 --> 00:16:17,400 Speaker 1: southern Oregon, destroying some of the most beautiful terrain on 265 00:16:17,440 --> 00:16:19,840 Speaker 1: the planet, they've just announced will not be put out 266 00:16:19,920 --> 00:16:26,120 Speaker 1: until the rain or the snow comes. Yea in space 267 00:16:26,200 --> 00:16:29,720 Speaker 1: the fire in space yet a giant a giant ship 268 00:16:29,760 --> 00:16:33,240 Speaker 1: to suck all the oxygen out of the fire and 269 00:16:33,280 --> 00:16:36,040 Speaker 1: shoot it into space. Yes, you know what I'm imagining 270 00:16:36,160 --> 00:16:39,280 Speaker 1: is the big vacuum spaceship from spaceballs. That could. Really 271 00:16:39,640 --> 00:16:41,840 Speaker 1: you just suck all the oxygen out for a minute, 272 00:16:41,920 --> 00:16:43,680 Speaker 1: the fire goes away, and then you shoot it back 273 00:16:43,680 --> 00:16:47,760 Speaker 1: in before everyone dies. That could, yeah, or like Homer 274 00:16:47,800 --> 00:16:49,960 Speaker 1: in space with the ants, stop it with an inanimate 275 00:16:50,000 --> 00:16:54,320 Speaker 1: carbon rod. And then every year we hear these the 276 00:16:54,360 --> 00:16:57,440 Speaker 1: worst wildfires in this area, X y Z, this and that. 277 00:16:57,640 --> 00:17:01,640 Speaker 1: It's like, well, this is very obvious, but I like 278 00:17:01,720 --> 00:17:04,760 Speaker 1: how much is left to burn, you know, like before 279 00:17:04,760 --> 00:17:07,240 Speaker 1: it gets to the towns in the cities. In general, 280 00:17:07,240 --> 00:17:08,680 Speaker 1: I know there's a lot of land. The United States 281 00:17:08,760 --> 00:17:10,720 Speaker 1: is a big place, but yes, all of this it 282 00:17:10,800 --> 00:17:13,960 Speaker 1: just keeps happening. It just keeps intensifying, and we don't 283 00:17:13,960 --> 00:17:17,240 Speaker 1: do anything about it. It's a it's it's interesting and 284 00:17:17,240 --> 00:17:20,840 Speaker 1: frustrating because like all these all these mega dorks like 285 00:17:20,920 --> 00:17:23,320 Speaker 1: they love, you know, they they think they love like 286 00:17:23,440 --> 00:17:27,000 Speaker 1: Star Trek and this like this idea of like a 287 00:17:27,240 --> 00:17:30,600 Speaker 1: space utopia and like you know, luxury space communis and 288 00:17:30,640 --> 00:17:32,359 Speaker 1: all these sort of things, and these shows that talked 289 00:17:32,359 --> 00:17:36,119 Speaker 1: about all these issues, but all wooshes past them. They 290 00:17:36,119 --> 00:17:39,360 Speaker 1: didn't actually absorb what the shows were talking about. They 291 00:17:39,359 --> 00:17:42,000 Speaker 1: see space and they just want the Expanse. That's that's 292 00:17:42,040 --> 00:17:45,040 Speaker 1: that's that's what they're creating. And and the Expanse was 293 00:17:45,080 --> 00:17:48,360 Speaker 1: specifically like not a dystopia. It was actually a bit 294 00:17:48,440 --> 00:17:51,159 Speaker 1: like outside of like there's weird alien magic ship, but 295 00:17:51,200 --> 00:17:54,960 Speaker 1: most of it's very grounded and realistic in that well, yeah, 296 00:17:55,000 --> 00:17:56,800 Speaker 1: you'll have a whole class of people who exist to 297 00:17:56,880 --> 00:18:01,919 Speaker 1: mind space um that will become an underclass exploited by 298 00:18:02,000 --> 00:18:05,600 Speaker 1: capitalists and will build space homas and like that's that's 299 00:18:05,640 --> 00:18:07,840 Speaker 1: what will happen. And they're right, like yeah, they have 300 00:18:07,960 --> 00:18:10,280 Speaker 1: like the that's why. That's why the Expanse is good. 301 00:18:10,400 --> 00:18:15,000 Speaker 1: It's good, it's accurate, and like it's I just what 302 00:18:16,040 --> 00:18:19,119 Speaker 1: it's just wild to see that they don't even like 303 00:18:20,640 --> 00:18:24,359 Speaker 1: connect that, like, oh wait, they didn't. Star Trek didn't 304 00:18:24,359 --> 00:18:27,320 Speaker 1: happen because because they tried the Expanse for a long 305 00:18:27,400 --> 00:18:30,119 Speaker 1: time and then it just like magically turned into to 306 00:18:30,240 --> 00:18:33,080 Speaker 1: this good situation. It's like these. I don't know. I 307 00:18:33,119 --> 00:18:37,320 Speaker 1: think we're all in agreement that we should listeners should 308 00:18:37,400 --> 00:18:41,520 Speaker 1: join space moss Um, I mean, get get on board. 309 00:18:42,119 --> 00:18:43,920 Speaker 1: But like you, I don't know if you saw those 310 00:18:44,040 --> 00:18:46,920 Speaker 1: uh everyone in a while, Boston Dynamics shows off their 311 00:18:47,000 --> 00:18:52,280 Speaker 1: like their death robots the police force and like, uh, 312 00:18:52,359 --> 00:18:55,280 Speaker 1: someone uh like a day a day or two go 313 00:18:55,520 --> 00:18:58,600 Speaker 1: like shared the video of them dancing. Yeah, yeah, the 314 00:18:58,640 --> 00:19:01,639 Speaker 1: dancing robots and like the The text of the tweet 315 00:19:01,680 --> 00:19:04,520 Speaker 1: was like, just imagine what AI is capable of in 316 00:19:04,560 --> 00:19:09,720 Speaker 1: five years. And then Elon must responded indeed, like he's 317 00:19:09,720 --> 00:19:12,000 Speaker 1: excited about this, and he does. He does not He's 318 00:19:12,040 --> 00:19:14,359 Speaker 1: not willing or able to see any of the actual 319 00:19:14,400 --> 00:19:17,840 Speaker 1: negative effects of he looks at that's like, yeah, more 320 00:19:17,920 --> 00:19:20,879 Speaker 1: of that. It's like nope, or watch any fucking like 321 00:19:20,920 --> 00:19:24,520 Speaker 1: sci fi that warns people about these things. Those robots 322 00:19:24,520 --> 00:19:27,720 Speaker 1: are currently being used to patrol homeless encaptinents in the 323 00:19:27,840 --> 00:19:34,600 Speaker 1: United States. There, it's so bad. It's so bad, just 324 00:19:34,640 --> 00:19:38,960 Speaker 1: like seeing seeing that kind of response, like yeah, indeed, 325 00:19:39,000 --> 00:19:42,800 Speaker 1: wouldn't know it's gonna be amazing, no downsides, like Elon, no, 326 00:19:42,960 --> 00:19:45,760 Speaker 1: and it's it's bad. Whether it's AI, whether it's a 327 00:19:45,800 --> 00:19:49,480 Speaker 1: human pilot, whether because like absolutely like people who are 328 00:19:49,520 --> 00:19:53,360 Speaker 1: training these yeah, like aies are incredibly biased. Um it's 329 00:19:53,400 --> 00:19:55,400 Speaker 1: it's and they're just but so are people and they're 330 00:19:55,440 --> 00:20:00,800 Speaker 1: gonna roots. Yeah, it's it's all bad. There's no upside 331 00:20:00,800 --> 00:20:03,440 Speaker 1: to it. I'm excited for when somebody goes to prison 332 00:20:03,440 --> 00:20:07,119 Speaker 1: on a murder since cop dog for breaking the cop dog. Yes, 333 00:20:08,840 --> 00:20:11,560 Speaker 1: or it'll be like a massive felony because they're over 334 00:20:11,600 --> 00:20:18,639 Speaker 1: a thousand dollars. Are stressing. I'm literally doing deep breaths. 335 00:20:18,720 --> 00:20:23,440 Speaker 1: We got to take a break. Also, yeah, yeah, everybody 336 00:20:23,520 --> 00:20:29,080 Speaker 1: check out these ads and I don't know, maybe make 337 00:20:29,119 --> 00:20:31,800 Speaker 1: a new flag for space MSS. Let's get this off 338 00:20:31,840 --> 00:20:34,320 Speaker 1: the ground. We have to be as fast as Bezos 339 00:20:34,400 --> 00:20:37,840 Speaker 1: is about this, so getn't get on it. Let's let's 340 00:20:37,840 --> 00:20:51,520 Speaker 1: do it together. Everything down down do ah, we're back. 341 00:20:55,359 --> 00:20:58,440 Speaker 1: We've been canceled for our ideas about space a moss 342 00:20:58,480 --> 00:21:03,280 Speaker 1: So I apologize, Uh not me. I didn't chime in. 343 00:21:03,440 --> 00:21:07,679 Speaker 1: I just pivoted us to break That's right. You know 344 00:21:07,720 --> 00:21:12,240 Speaker 1: who else is good at pivoting bugs Bunny and space 345 00:21:12,320 --> 00:21:20,960 Speaker 1: Jam two, That is the insurgents. Because the insurgent must 346 00:21:21,040 --> 00:21:23,800 Speaker 1: be able to move through the population like a fish 347 00:21:23,840 --> 00:21:28,040 Speaker 1: through water um or space like a fish through space, 348 00:21:28,080 --> 00:21:33,080 Speaker 1: like a spacefish, spacefish, spacefish destroy space Jam two just 349 00:21:33,080 --> 00:21:36,520 Speaker 1: saying the idea of James Cameron like going like doing 350 00:21:36,560 --> 00:21:38,360 Speaker 1: all of his ocean stuff and like you know, he's 351 00:21:38,359 --> 00:21:40,840 Speaker 1: got his submarines doing a mechanic and he comes back 352 00:21:40,880 --> 00:21:42,639 Speaker 1: He's like, I figured it out. We gotta put all 353 00:21:42,640 --> 00:21:50,960 Speaker 1: our trash in the ocean. Ye, there's so much fish 354 00:21:51,000 --> 00:21:56,600 Speaker 1: in there. Fuck him, you know they're they're so what 355 00:21:56,720 --> 00:21:59,120 Speaker 1: is it? Like that master class thing? James Cameron has 356 00:21:59,280 --> 00:22:01,800 Speaker 1: announced that he's doing one, which is like you know 357 00:22:01,840 --> 00:22:05,040 Speaker 1: those like videos you get to like learn from famous people. 358 00:22:05,040 --> 00:22:07,399 Speaker 1: And somebody was like, I don't think James Cameron has 359 00:22:07,440 --> 00:22:11,080 Speaker 1: anything to teach people who like are new enough to 360 00:22:11,160 --> 00:22:15,040 Speaker 1: filmmaking that they'd be taking a masterclass. And the sad 361 00:22:15,080 --> 00:22:17,240 Speaker 1: thing is like, actually no, he does, because his like 362 00:22:17,320 --> 00:22:19,760 Speaker 1: the first big movie, Terminator, he broke a whole bunch 363 00:22:19,800 --> 00:22:21,760 Speaker 1: of laws to film. He was like lying to cops 364 00:22:21,800 --> 00:22:25,000 Speaker 1: and like bribing people and like breaking tons of labor 365 00:22:25,080 --> 00:22:27,560 Speaker 1: laws because he didn't have any money, but he wanted 366 00:22:27,600 --> 00:22:30,240 Speaker 1: to make this. He made his crime movie. Like he's 367 00:22:30,240 --> 00:22:33,159 Speaker 1: actually a great guy to teach you guerilla filmmaking, but 368 00:22:33,280 --> 00:22:40,560 Speaker 1: unfortunately he got rich and his movies have become increasingly 369 00:22:41,320 --> 00:22:44,040 Speaker 1: I want, I want James Cameron to have exactly a 370 00:22:44,119 --> 00:22:49,080 Speaker 1: million dollars and uh like, go out and break a 371 00:22:49,080 --> 00:22:51,359 Speaker 1: bunch of laws to make another movie. James Cameron like I, 372 00:22:51,440 --> 00:22:59,399 Speaker 1: I don't want to don't want another yet, but they 373 00:22:59,600 --> 00:23:03,320 Speaker 1: like no no sequels have come out. Were you even 374 00:23:03,359 --> 00:23:08,760 Speaker 1: alive when the first one came out? The first one? Okay? 375 00:23:09,119 --> 00:23:11,800 Speaker 1: I was. I just found out that Jurassic Park three 376 00:23:11,920 --> 00:23:18,040 Speaker 1: is older than you, and that made me we should 377 00:23:18,080 --> 00:23:25,280 Speaker 1: talk about something I can't. That was great news to 378 00:23:25,320 --> 00:23:27,959 Speaker 1: bunt out. Do you guys want to talk about any 379 00:23:28,000 --> 00:23:31,800 Speaker 1: of the stuff that we prepped for this episode? So 380 00:23:32,560 --> 00:23:35,639 Speaker 1: that's why you guys are here. Yeah, I'm here to 381 00:23:35,760 --> 00:23:39,960 Speaker 1: chime in, Robert, Do you want to talk about crime? Yeah? 382 00:23:39,960 --> 00:23:44,479 Speaker 1: I love crime, big fan of crime. Crime appreciate again. 383 00:23:44,840 --> 00:23:47,320 Speaker 1: I think if we give James Cameron a small enough 384 00:23:47,359 --> 00:23:50,119 Speaker 1: amount of money, he could significantly raise the property crime 385 00:23:50,200 --> 00:23:54,480 Speaker 1: rate making which is going down. Yes it is. Yeah, 386 00:23:55,320 --> 00:23:58,040 Speaker 1: we could. We could use that. So there's this whole 387 00:23:58,240 --> 00:24:02,280 Speaker 1: I don't know manufacturing consent bleak ass Uh It's the 388 00:24:02,320 --> 00:24:04,720 Speaker 1: response in a lot of ways to everything that happened 389 00:24:04,760 --> 00:24:06,760 Speaker 1: last year in the protest against the police. All of 390 00:24:06,800 --> 00:24:09,639 Speaker 1: the people who were too scared, you know that what 391 00:24:09,800 --> 00:24:11,960 Speaker 1: we'll call them, the target CEO types, who were like 392 00:24:12,000 --> 00:24:14,160 Speaker 1: frightened enough during the height of the uprising that they 393 00:24:14,160 --> 00:24:18,119 Speaker 1: were like, it's cool if you loot, are now you know, 394 00:24:18,960 --> 00:24:22,640 Speaker 1: using the engines of media that exists to serve them 395 00:24:22,680 --> 00:24:25,280 Speaker 1: in order to push this idea that virulent violent crime 396 00:24:25,320 --> 00:24:27,560 Speaker 1: has risen, and it's risen because police have been defunded, 397 00:24:27,560 --> 00:24:29,600 Speaker 1: and so we need to give cops more money because 398 00:24:29,640 --> 00:24:31,639 Speaker 1: they're all scared as a result of last year and 399 00:24:31,680 --> 00:24:33,679 Speaker 1: how on the edge things were for a while, and 400 00:24:33,800 --> 00:24:38,080 Speaker 1: that the police been defunded. That's a good question. Absolutely not, 401 00:24:40,160 --> 00:24:43,439 Speaker 1: but I believe that in some cases have gotten more money. 402 00:24:43,680 --> 00:24:47,679 Speaker 1: They sure have. The President of the United States recommended 403 00:24:47,840 --> 00:24:51,240 Speaker 1: that's what I use any leftover COVID relief money on cops, 404 00:24:51,320 --> 00:24:54,520 Speaker 1: is what he That's what I thought. Um, yeah, this 405 00:24:54,560 --> 00:24:57,919 Speaker 1: is a very frustrating topic that we're diving into today. 406 00:24:58,880 --> 00:25:01,639 Speaker 1: The you know, we we. If you are on Twitter, 407 00:25:01,680 --> 00:25:04,760 Speaker 1: you probably saw this screenshot from scene in a few 408 00:25:04,840 --> 00:25:09,200 Speaker 1: days ago about about this crime violent crime graphs they had. Now, 409 00:25:09,280 --> 00:25:11,359 Speaker 1: when I first saw this, for two days, I thought 410 00:25:11,359 --> 00:25:13,560 Speaker 1: this was satire. I thought this was a joke someone 411 00:25:13,600 --> 00:25:17,080 Speaker 1: made on Twitter, and then I realized it was real, Like, 412 00:25:17,400 --> 00:25:21,320 Speaker 1: oh no, because the big like, the big thing at 413 00:25:21,359 --> 00:25:24,639 Speaker 1: the top is violent crime is a very big problem adults, 414 00:25:24,960 --> 00:25:30,000 Speaker 1: so already pretty fun um. And then it says yeah, 415 00:25:30,119 --> 00:25:32,440 Speaker 1: and it's like the Wizard of Odds. White House prepared 416 00:25:32,520 --> 00:25:35,320 Speaker 1: to address surge of violin crime. But the thing is 417 00:25:35,400 --> 00:25:39,800 Speaker 1: they've taken a dip in the crime stats and flipped 418 00:25:39,800 --> 00:25:42,000 Speaker 1: the graph, so it makes it look like it's a rising, 419 00:25:42,200 --> 00:25:45,960 Speaker 1: which makes no sense because you can use other graphs. Um. 420 00:25:46,000 --> 00:25:49,160 Speaker 1: And it's utterly bizarre. And it's not even crime. It's 421 00:25:49,200 --> 00:25:52,600 Speaker 1: adults attitudes on like, it's adults perceptions of what they 422 00:25:52,600 --> 00:25:55,520 Speaker 1: think crime is. Like, um, but they flipped it in 423 00:25:55,520 --> 00:26:00,240 Speaker 1: the first place, so it's very silly. Um. Well that uh, 424 00:26:00,280 --> 00:26:03,840 Speaker 1: they're doing a lot now where um, they're not actually 425 00:26:04,040 --> 00:26:08,760 Speaker 1: delving into actual crime statistics. I've seen this from uh 426 00:26:09,119 --> 00:26:12,720 Speaker 1: as reclined. ABC News like a couple of weeks ago 427 00:26:13,240 --> 00:26:16,280 Speaker 1: shared this thing. Uh of like the number of Americans 428 00:26:16,280 --> 00:26:18,920 Speaker 1: seeing crime is an extreme serious problem is is higher 429 00:26:18,960 --> 00:26:22,200 Speaker 1: than it has been twenty years. It's always about the perception, 430 00:26:22,560 --> 00:26:25,680 Speaker 1: the reporting on the perception of crime being and that 431 00:26:25,880 --> 00:26:28,199 Speaker 1: is creating more of a perception that's up. The follow 432 00:26:28,280 --> 00:26:32,199 Speaker 1: up tweet, the follow up tweet to this was about 433 00:26:32,240 --> 00:26:36,240 Speaker 1: how a sweeping say violent crime would be reduced by 434 00:26:36,320 --> 00:26:40,520 Speaker 1: increasing funding to build economic opportunities in poor communities. That 435 00:26:40,560 --> 00:26:45,440 Speaker 1: would be follow up. I mean that makes me think, Yeah, 436 00:26:46,760 --> 00:26:48,640 Speaker 1: you're persenting everything. What you said makes me think about 437 00:26:48,640 --> 00:26:51,520 Speaker 1: what I'm about to say. Anecdotally, so I feel like 438 00:26:51,520 --> 00:26:53,520 Speaker 1: we've got this media, we've got these graphs, You've got 439 00:26:53,560 --> 00:26:56,040 Speaker 1: this framework of crime is up, crime is up, and 440 00:26:56,080 --> 00:27:00,359 Speaker 1: it's obviously as a justification to uh talk about lease 441 00:27:00,440 --> 00:27:04,480 Speaker 1: and funding, etcetera. But and it's seeping in. People are 442 00:27:04,520 --> 00:27:07,000 Speaker 1: seeing that and feeling that, And anecdotally, I have found 443 00:27:07,000 --> 00:27:10,040 Speaker 1: that this conversation goes hand in hand with people talking 444 00:27:10,040 --> 00:27:14,320 Speaker 1: about homelessness in their communities, which is not the same thing. 445 00:27:14,440 --> 00:27:16,680 Speaker 1: It's not at all. But people in general are buying 446 00:27:16,720 --> 00:27:20,360 Speaker 1: this narrative of like, crime is up. They're seeing changes 447 00:27:20,440 --> 00:27:23,280 Speaker 1: in their neighborhood, and they're afraid. These are two separate 448 00:27:23,320 --> 00:27:26,720 Speaker 1: issues that have overlapped. Homelessness is up, in a lot 449 00:27:26,760 --> 00:27:29,959 Speaker 1: of places the pandemic has caused that these there's a 450 00:27:30,000 --> 00:27:31,679 Speaker 1: lot of root to this, you know, And there's some 451 00:27:31,760 --> 00:27:34,159 Speaker 1: misconception too, because I I have to look into this. 452 00:27:34,240 --> 00:27:36,680 Speaker 1: In Los Angeles, I guess there are statistics of homeless 453 00:27:36,840 --> 00:27:39,280 Speaker 1: rates going down, not because of the government, but because 454 00:27:39,280 --> 00:27:42,840 Speaker 1: of mutual aid. Um, you know, of people reaching out 455 00:27:42,840 --> 00:27:45,720 Speaker 1: and helping each other. Uh So that's interesting that I 456 00:27:45,720 --> 00:27:47,280 Speaker 1: have to fall up and read more about. But just 457 00:27:47,359 --> 00:27:50,159 Speaker 1: in general, Uh yeah, I wanted to make that point 458 00:27:50,200 --> 00:27:53,320 Speaker 1: that as everybody is feeding into this hysteria, they are 459 00:27:53,320 --> 00:27:55,920 Speaker 1: looking at different problems and conflating them and it's adding 460 00:27:55,920 --> 00:27:58,760 Speaker 1: to the narrative. Yeah. I mean there's a lot of 461 00:27:58,800 --> 00:28:02,200 Speaker 1: people who see when you they hear homelessness or when 462 00:28:02,200 --> 00:28:04,520 Speaker 1: they hear crime is up, they don't think about, I 463 00:28:04,520 --> 00:28:07,440 Speaker 1: don't know, somebody getting murdered as much as they think 464 00:28:07,480 --> 00:28:10,760 Speaker 1: about somebody doing heroin in a tint that's too near 465 00:28:10,800 --> 00:28:13,320 Speaker 1: their house exactly. And the truth is that a lot 466 00:28:13,320 --> 00:28:17,000 Speaker 1: of the statistics isn't even about uh crime in general. 467 00:28:17,040 --> 00:28:19,600 Speaker 1: There I believe it's about correct me if I'm wrong, 468 00:28:20,200 --> 00:28:23,680 Speaker 1: homicide specifically, but it's actually when you look at the 469 00:28:23,720 --> 00:28:27,120 Speaker 1: homicide rates to say, like the nineties were way lower. 470 00:28:27,400 --> 00:28:29,919 Speaker 1: So let's why don't we look at this problem from 471 00:28:29,960 --> 00:28:32,040 Speaker 1: a different angle? Why aren't we looking at it? Because 472 00:28:32,040 --> 00:28:34,240 Speaker 1: they don't want that answer. But if you look at 473 00:28:34,240 --> 00:28:36,760 Speaker 1: it and you see that gun violence specifically has gone 474 00:28:36,800 --> 00:28:41,840 Speaker 1: up as a contributing factor to uh, this violent death rate. Um, 475 00:28:41,840 --> 00:28:44,480 Speaker 1: there's a lot more nuance than what a headline will 476 00:28:44,520 --> 00:28:48,320 Speaker 1: tell you. Yeah, and shootings, the violent crime have gone up. 477 00:28:48,360 --> 00:28:50,960 Speaker 1: Almost all types of crime of actually have continued their 478 00:28:50,960 --> 00:28:53,200 Speaker 1: downwards trend. And if you take a place like Chicago, 479 00:28:53,560 --> 00:28:57,080 Speaker 1: Chicago's crime rate is actually just like the the murder 480 00:28:57,200 --> 00:29:00,320 Speaker 1: rate is back to levels. Actually it's not even it's 481 00:29:00,320 --> 00:29:02,840 Speaker 1: not even it's not even like there was a big 482 00:29:02,840 --> 00:29:04,680 Speaker 1: dip in twenty nineteen. It's and it's now it's back 483 00:29:04,720 --> 00:29:08,680 Speaker 1: to what it was in According to according to the NYPD, UM, 484 00:29:08,720 --> 00:29:12,000 Speaker 1: shootings in New York are actually on a downwards trend 485 00:29:12,520 --> 00:29:15,680 Speaker 1: um right now. So there one of the safest cities 486 00:29:15,720 --> 00:29:17,640 Speaker 1: in the country. Yeah, and so shootings in New York 487 00:29:17,640 --> 00:29:21,240 Speaker 1: are going back to pre pandemic levels. Um. And there 488 00:29:21,280 --> 00:29:23,120 Speaker 1: there's a whole bunch of reasons people could talk about 489 00:29:23,160 --> 00:29:25,320 Speaker 1: for why shootings have specifically gone up in the past 490 00:29:25,480 --> 00:29:28,120 Speaker 1: year and a half. UM. And in terms of like, 491 00:29:28,200 --> 00:29:30,840 Speaker 1: you know, Americans perception of crime, a lot of that 492 00:29:30,920 --> 00:29:33,360 Speaker 1: has to do with like local news coverage, um, the 493 00:29:33,360 --> 00:29:36,440 Speaker 1: way social media works, the way Facebook works. UM. That 494 00:29:36,520 --> 00:29:38,880 Speaker 1: leads to that leads to a very heightened perception of 495 00:29:38,920 --> 00:29:40,680 Speaker 1: crime overall. You know, like there was like videos from 496 00:29:40,680 --> 00:29:43,480 Speaker 1: like videos like that happened like in San San Francisco 497 00:29:43,480 --> 00:29:45,480 Speaker 1: a few weeks ago. You know, like someone you know 498 00:29:45,640 --> 00:29:47,719 Speaker 1: take clearing out a whole bunch of stuff in like 499 00:29:48,080 --> 00:29:50,520 Speaker 1: like a drug store or something, and that like blew 500 00:29:50,600 --> 00:29:53,040 Speaker 1: up and went super super vital. You're like, oh, look 501 00:29:53,040 --> 00:29:54,880 Speaker 1: at their crimes out of control. You're like it's like 502 00:29:54,960 --> 00:29:58,440 Speaker 1: one dude taking like a few bottles from a drug store, 503 00:29:58,520 --> 00:30:01,160 Speaker 1: Like what are you talking about? That's like one person. 504 00:30:01,920 --> 00:30:04,680 Speaker 1: But it gets into this this thing that makes it 505 00:30:04,720 --> 00:30:07,000 Speaker 1: feel like it's just like a chronic problem. Not because 506 00:30:07,040 --> 00:30:09,080 Speaker 1: we've defunded the police. Now this it's happening all the time, 507 00:30:09,080 --> 00:30:12,680 Speaker 1: and you're like no, and there's a lot of it's 508 00:30:12,720 --> 00:30:16,000 Speaker 1: tied in with again the whole uh not in my backyard. 509 00:30:16,320 --> 00:30:19,680 Speaker 1: You know, if a guy's doing heroin, that's the same 510 00:30:19,760 --> 00:30:21,800 Speaker 1: as you know, people getting shot to death. It's the 511 00:30:22,120 --> 00:30:26,160 Speaker 1: reason that those people got so angry at those shoplifting 512 00:30:26,240 --> 00:30:29,040 Speaker 1: videos is that one of the most central things to 513 00:30:29,080 --> 00:30:32,280 Speaker 1: American identity is like a visceral hatred of the idea 514 00:30:32,360 --> 00:30:35,080 Speaker 1: that somebody might get something they didn't pay for. That 515 00:30:35,200 --> 00:30:39,920 Speaker 1: isn't you, um, Like it's real funny because yeah, there 516 00:30:40,000 --> 00:30:44,320 Speaker 1: there was a ten percent drop in robberies. So like 517 00:30:44,360 --> 00:30:47,440 Speaker 1: the number of I mean, the amount of assets stolen 518 00:30:47,440 --> 00:30:50,000 Speaker 1: by police as a result of civil asset forfeiture is 519 00:30:50,240 --> 00:30:56,120 Speaker 1: vastly higher than the total amount stolen by burglars, and 520 00:30:54,560 --> 00:30:58,960 Speaker 1: and and like wageft is bigger than all theft is Yeah, 521 00:30:59,000 --> 00:31:00,880 Speaker 1: wage left is bigger than all other kinds of theft 522 00:31:00,880 --> 00:31:03,800 Speaker 1: to put together. But those are not seen a well, 523 00:31:03,800 --> 00:31:06,320 Speaker 1: those are done by business owners or done by cops 524 00:31:06,360 --> 00:31:09,000 Speaker 1: as opposed to a poor person taking I don't know, 525 00:31:09,080 --> 00:31:12,160 Speaker 1: some baby formula to sell to resell on the street 526 00:31:12,240 --> 00:31:17,160 Speaker 1: or whatever. Um like that. It makes Americans angrier because 527 00:31:17,160 --> 00:31:20,920 Speaker 1: that person is getting something they don't deserve. Yeah, it's 528 00:31:20,960 --> 00:31:23,480 Speaker 1: just it real because like with all most American thing 529 00:31:23,560 --> 00:31:25,200 Speaker 1: in the world, they get that, then I get less, 530 00:31:25,200 --> 00:31:28,160 Speaker 1: and that's no good. Like it's always framed in ah, yeah, 531 00:31:28,160 --> 00:31:30,520 Speaker 1: but it's okay if the people above me get stuff 532 00:31:30,560 --> 00:31:34,800 Speaker 1: that they didn't, because eventually I'm gonna be I'm gonna 533 00:31:34,840 --> 00:31:37,920 Speaker 1: be one of those people one day therefore, and I 534 00:31:37,920 --> 00:31:40,520 Speaker 1: want to be able to steal everything that's not it's 535 00:31:40,520 --> 00:31:44,560 Speaker 1: not nailed down. Yeah, Um, I don't know. The problem 536 00:31:44,640 --> 00:31:47,560 Speaker 1: is the fires are in the wrong places. There's a 537 00:31:47,600 --> 00:31:50,560 Speaker 1: specific number of fires I would like there to be 538 00:31:50,600 --> 00:31:54,440 Speaker 1: in very specific places. Um, and we'll leave it at that. 539 00:31:55,320 --> 00:32:00,360 Speaker 1: Uh yeah, But it's it's real funny. Like in Portland, 540 00:32:00,400 --> 00:32:03,240 Speaker 1: you know, there was like a whole media thing about 541 00:32:03,360 --> 00:32:05,640 Speaker 1: looting and property damage and all this topic, you know, 542 00:32:05,720 --> 00:32:07,360 Speaker 1: and very a lot a lot of other cities too 543 00:32:07,360 --> 00:32:10,760 Speaker 1: because of protests, but like specifically looting and property damage, 544 00:32:10,800 --> 00:32:13,760 Speaker 1: like like property crimes went down eight percent last year, 545 00:32:13,760 --> 00:32:18,080 Speaker 1: and and like luting and round went went down ten percent. 546 00:32:18,520 --> 00:32:21,360 Speaker 1: So they're like, it's just yeah, they're, they're, they're It's 547 00:32:21,480 --> 00:32:25,640 Speaker 1: just interesting how fast these narratives can be convinced so 548 00:32:25,720 --> 00:32:29,480 Speaker 1: many people. Well, it's the reason everything's doomed. When I 549 00:32:29,600 --> 00:32:31,560 Speaker 1: this is how I feel when I'm in a bad mood, 550 00:32:31,760 --> 00:32:34,440 Speaker 1: which I am today, don't take this is evidence that 551 00:32:34,440 --> 00:32:36,560 Speaker 1: things are actually doomed. But it's the reason why it's 552 00:32:36,560 --> 00:32:38,400 Speaker 1: easy to feel like everything is doomed just because it 553 00:32:38,440 --> 00:32:41,280 Speaker 1: doesn't matter that crime went down, doesn't matter that like 554 00:32:41,440 --> 00:32:46,000 Speaker 1: the this massive protest campaign actually uh coincided with a 555 00:32:46,080 --> 00:32:48,600 Speaker 1: drop and a lot of kinds of crime. People think 556 00:32:48,760 --> 00:32:52,760 Speaker 1: that Portland's went off the rails because people protested and 557 00:32:52,840 --> 00:32:55,360 Speaker 1: cops lost some money, and as a result, they're going 558 00:32:55,400 --> 00:32:59,080 Speaker 1: to be arguing that cops need armies of robots that 559 00:32:59,160 --> 00:33:04,880 Speaker 1: they can send into murder homeless encampments, um and that 560 00:33:04,960 --> 00:33:08,440 Speaker 1: will spread a lot further among at least large enough 561 00:33:08,520 --> 00:33:11,760 Speaker 1: chunks of the population that the government can say like, well, no, 562 00:33:11,880 --> 00:33:14,400 Speaker 1: people are demanding this, and even if most people are 563 00:33:14,440 --> 00:33:16,800 Speaker 1: demanding something different, as long as they can say, well, 564 00:33:16,800 --> 00:33:18,960 Speaker 1: but people are scared about crimes, so we need the 565 00:33:19,040 --> 00:33:22,960 Speaker 1: robot armies as that. As that tweet made clear, people 566 00:33:23,040 --> 00:33:27,080 Speaker 1: are demanding other other avenues. Yeah, but that's not getting 567 00:33:27,120 --> 00:33:29,720 Speaker 1: on the news that show up in Biden's speech. That's 568 00:33:29,760 --> 00:33:32,400 Speaker 1: why they lead with people think crime is a real 569 00:33:32,440 --> 00:33:35,280 Speaker 1: problem instead of people think that we should give people 570 00:33:36,360 --> 00:33:39,560 Speaker 1: like more opportunities and that would solve there. A lot 571 00:33:39,560 --> 00:33:43,560 Speaker 1: of people have made some comments about uh fucking you know, 572 00:33:43,640 --> 00:33:48,960 Speaker 1: reappraising the Star Wars prequels and George Lucas's uh cultural 573 00:33:49,000 --> 00:33:52,040 Speaker 1: analysis in those movies. And one of the things I 574 00:33:52,120 --> 00:33:54,200 Speaker 1: keep coming back to is how optimistic he was that 575 00:33:54,240 --> 00:33:58,000 Speaker 1: you would need an actual problem to justify a giant, 576 00:33:58,080 --> 00:34:00,120 Speaker 1: murderous army for the government to crack down on all 577 00:34:00,120 --> 00:34:02,120 Speaker 1: the scent like there is a real problem in those 578 00:34:02,160 --> 00:34:04,920 Speaker 1: movies that they're dealing with. Um, it turns out you 579 00:34:04,960 --> 00:34:08,320 Speaker 1: don't need that. No, you just create yeah, create fear 580 00:34:08,440 --> 00:34:11,879 Speaker 1: and then yeah, it's a it's all. It's all very insidious. Um. 581 00:34:11,920 --> 00:34:16,080 Speaker 1: Because clearly there's a push to um, if well, if 582 00:34:16,120 --> 00:34:18,759 Speaker 1: we want to retire, let's retire defund the police for 583 00:34:18,800 --> 00:34:21,280 Speaker 1: this for this moment and say like reforming the police 584 00:34:21,280 --> 00:34:25,279 Speaker 1: and doing doing actual change that was on that was 585 00:34:25,320 --> 00:34:28,479 Speaker 1: on the horizon. Um. And we can't have that. So 586 00:34:28,719 --> 00:34:30,799 Speaker 1: we have to adjust how we talk about stuff. And 587 00:34:30,800 --> 00:34:32,919 Speaker 1: then and Biden is a perfect guy for this because 588 00:34:32,920 --> 00:34:35,399 Speaker 1: he's gonna go where the wind blows. And also he's 589 00:34:35,560 --> 00:34:40,360 Speaker 1: big crime guy and crime and always has been. Um. 590 00:34:40,400 --> 00:34:42,319 Speaker 1: He's the reason one of the main reasons we have 591 00:34:42,360 --> 00:34:46,480 Speaker 1: civil asset forfeiture on a federal level is that guy. Um. 592 00:34:46,560 --> 00:34:50,600 Speaker 1: So it's just it's very predictable and appropriate. Um. Do 593 00:34:50,600 --> 00:34:53,480 Speaker 1: we have time to talk about We have time for anything, Cody. 594 00:34:54,600 --> 00:34:58,520 Speaker 1: The world is our oyster and oysters died by the 595 00:34:58,600 --> 00:35:02,120 Speaker 1: millions during the heat way. Have that baked the Pacific northwest? 596 00:35:02,160 --> 00:35:06,839 Speaker 1: Over a billion sea creatures. It's cold in space. It's 597 00:35:06,840 --> 00:35:09,560 Speaker 1: cold in space, Cody. We could send the cops there. 598 00:35:10,920 --> 00:35:16,040 Speaker 1: We need someone to watch those factories. Keep this solution 599 00:35:17,400 --> 00:35:27,440 Speaker 1: in space. Antifaz on the moon, go get go, get get. Anyway, 600 00:35:27,719 --> 00:35:32,000 Speaker 1: we were talking about oysters, UM, but we're not anymore. 601 00:35:32,560 --> 00:35:36,399 Speaker 1: I want to talk briefly about this thing. UM. It's 602 00:35:36,400 --> 00:35:39,560 Speaker 1: called the Kroner Commission. Familiar with the Kroner Commission, Kroner 603 00:35:40,040 --> 00:35:47,200 Speaker 1: Kerner Commission. It was UM in response to the the 604 00:35:47,280 --> 00:35:50,360 Speaker 1: riots in nineteen sixty seven. UM. A lot of riots, 605 00:35:51,080 --> 00:35:53,360 Speaker 1: a lot of crime, big lot of a lot of 606 00:35:53,440 --> 00:35:57,080 Speaker 1: unrest during that period for some reason, UM, and in response, 607 00:35:57,840 --> 00:36:02,440 Speaker 1: Johnson had this thing called the current Commission. Basically, they 608 00:36:02,440 --> 00:36:04,400 Speaker 1: were tasked finding out like, what are the what are 609 00:36:04,400 --> 00:36:07,719 Speaker 1: the what caused that? Uh, what were the reasons for 610 00:36:07,760 --> 00:36:10,480 Speaker 1: this happening? What do we do to make sure it 611 00:36:10,520 --> 00:36:14,120 Speaker 1: doesn't keep happening and doesn't happen again, um, and the 612 00:36:14,200 --> 00:36:20,280 Speaker 1: results may surprise you. UM. Basically, the current commission said that, uh, 613 00:36:20,360 --> 00:36:24,000 Speaker 1: a lot of it is like racism, uh, lack of 614 00:36:24,040 --> 00:36:27,719 Speaker 1: economic opportunity, all these things, and it may it recommended, um, 615 00:36:27,760 --> 00:36:30,920 Speaker 1: a lot of reforms to how policing works, and also 616 00:36:31,040 --> 00:36:35,600 Speaker 1: just investing billions and billions of dollars into these communities. UM. 617 00:36:35,640 --> 00:36:38,920 Speaker 1: And that would alleviate all the crime and and all 618 00:36:38,920 --> 00:36:42,680 Speaker 1: this sort of stuff. UM. And it was very clear, um, 619 00:36:43,680 --> 00:36:45,520 Speaker 1: a lot of this stuff that we talked about today, 620 00:36:45,520 --> 00:36:47,120 Speaker 1: and like, wouldn't it be nice if we did this? 621 00:36:47,200 --> 00:36:49,279 Speaker 1: Wouldn't that solve a lot of the crime problem? Isn't 622 00:36:49,280 --> 00:36:52,960 Speaker 1: that where crime comes from? Um? And it was completely 623 00:36:53,000 --> 00:36:58,040 Speaker 1: ignored um because it didn't align with what they wanted 624 00:36:58,080 --> 00:37:01,040 Speaker 1: to do. UM. Johnson was uh, you know, he had 625 00:37:01,080 --> 00:37:03,520 Speaker 1: his programs he wanted to do. UM. He also had 626 00:37:03,560 --> 00:37:07,120 Speaker 1: this narrative that like a lot of the riots were 627 00:37:07,120 --> 00:37:11,000 Speaker 1: like caused by like communist infiltration. Familiar with this, it 628 00:37:11,080 --> 00:37:16,600 Speaker 1: sounds familiar. Good thing. We don't have this anymore re anarchists. Yeah. UM. 629 00:37:16,640 --> 00:37:19,680 Speaker 1: So he you know, the communist agitation fired everybody up 630 00:37:19,800 --> 00:37:23,360 Speaker 1: and and so on, and uh, you know, the commission 631 00:37:23,400 --> 00:37:25,720 Speaker 1: was like, well, no, that's not that's not what happened. 632 00:37:25,760 --> 00:37:28,319 Speaker 1: It's this and this and this, UM and so they 633 00:37:28,360 --> 00:37:31,680 Speaker 1: recommend had all these recommendations. It was completely ignored. Uh. 634 00:37:31,760 --> 00:37:35,960 Speaker 1: It's a very popular report. Hundreds of thousands of copies 635 00:37:35,960 --> 00:37:40,040 Speaker 1: were sold. Um, but there was a huge pushback against 636 00:37:40,080 --> 00:37:43,200 Speaker 1: it from you know, a lot of white people. UM. 637 00:37:43,360 --> 00:37:48,920 Speaker 1: And uh who was the president after Johnson? UM, I 638 00:37:48,960 --> 00:37:51,440 Speaker 1: think a cool and fun dude, a real cool and 639 00:37:51,480 --> 00:37:56,160 Speaker 1: fun guy, Um, Dick Nixon became the president. Writer you 640 00:37:56,160 --> 00:37:58,760 Speaker 1: can't you can't lick the Dick Cody, you know, you can't, 641 00:37:58,840 --> 00:38:02,839 Speaker 1: well not anymore. Um. But uh yeah, so it's just 642 00:38:02,880 --> 00:38:04,640 Speaker 1: a very um it's a tale as old as time, 643 00:38:04,680 --> 00:38:08,840 Speaker 1: I guess. UH. An official like the president was like 644 00:38:08,920 --> 00:38:11,960 Speaker 1: find out what did this and what we do? And 645 00:38:12,000 --> 00:38:14,880 Speaker 1: they did and he was like no, never mind. And 646 00:38:15,040 --> 00:38:18,600 Speaker 1: the country veered into uh as we know, like these 647 00:38:18,680 --> 00:38:21,680 Speaker 1: law and order presidents Nixon and Reagan and so on. Um. 648 00:38:21,680 --> 00:38:24,440 Speaker 1: They even did a follow up of this commission, UH 649 00:38:24,880 --> 00:38:27,919 Speaker 1: twenty or thirty years later that basically determined like, yeah, 650 00:38:27,920 --> 00:38:31,600 Speaker 1: so some some of the things that were results of 651 00:38:31,600 --> 00:38:34,920 Speaker 1: the civil rights movement, UH did actually alleviate some of 652 00:38:34,920 --> 00:38:37,760 Speaker 1: these things and did help in in some way. Um. 653 00:38:37,840 --> 00:38:40,400 Speaker 1: And it was kind of improving for about ten years, 654 00:38:41,120 --> 00:38:46,960 Speaker 1: and then it stopped and got worse, um incidentally coinciding 655 00:38:46,960 --> 00:38:51,200 Speaker 1: with Ronald Reagan the president. Um. And since then it 656 00:38:51,280 --> 00:38:54,720 Speaker 1: has remained bad and gotten worse, and it's again tales 657 00:38:54,719 --> 00:38:56,799 Speaker 1: all the time. Is very fascinating to me to see 658 00:38:56,880 --> 00:38:58,960 Speaker 1: just like yeah, no, do this, do this, do this. No, 659 00:38:59,040 --> 00:39:00,880 Speaker 1: we're not gonna do it. We're gonna be tough on crime, 660 00:39:01,000 --> 00:39:05,279 Speaker 1: we're gonna be law and order presidents. We're gonna increase incarceration, 661 00:39:05,320 --> 00:39:07,880 Speaker 1: We're gonna do all these things, um that make the 662 00:39:07,920 --> 00:39:12,040 Speaker 1: problem worse. One of the recommendations was literally like stop 663 00:39:12,080 --> 00:39:18,399 Speaker 1: incarcerating so many fucking people. Um, and history corner they were, 664 00:39:18,440 --> 00:39:22,439 Speaker 1: but they were like na, um, and it's uh, that's 665 00:39:22,520 --> 00:39:28,640 Speaker 1: the end of that. I just uh, it's frustrating, frustrating. Yeah, 666 00:39:28,719 --> 00:39:31,000 Speaker 1: that happened, and then they were like no, and then 667 00:39:31,040 --> 00:39:35,520 Speaker 1: everything else happened for decades, and now here we are 668 00:39:35,160 --> 00:39:40,440 Speaker 1: a notice every few years, you know, all these riots 669 00:39:40,520 --> 00:39:48,000 Speaker 1: keep happening. Yeah, well yeah, keep happening because people hate target. Yeah, 670 00:39:48,760 --> 00:39:51,319 Speaker 1: why hate target? That's why that's why we had the 671 00:39:54,960 --> 00:39:57,880 Speaker 1: Los Angeles riots. Washington Heights rides and so on and 672 00:39:57,920 --> 00:40:01,200 Speaker 1: so forth. It was all because we want to get 673 00:40:01,360 --> 00:40:04,960 Speaker 1: a bag full of stuff from target. Yeah, we wanted 674 00:40:05,080 --> 00:40:08,080 Speaker 1: we wanted the free target bag full of stuff from Target. 675 00:40:08,160 --> 00:40:11,479 Speaker 1: It's time for another ad break. Oh god, yeah, let's 676 00:40:11,520 --> 00:40:13,760 Speaker 1: do it. Let's fucking do it. Are you all ready? 677 00:40:13,800 --> 00:40:16,000 Speaker 1: Are we ready for this? Are we ready to like? Wait? 678 00:40:16,080 --> 00:40:20,000 Speaker 1: Wait wait wait wait wait? All right, all right, all right, yes, 679 00:40:20,520 --> 00:40:24,080 Speaker 1: all right, I'm we're edging. We're edging and oh yeah, 680 00:40:25,719 --> 00:40:39,960 Speaker 1: yeah baby everything So don't ah, we're back. We're just 681 00:40:40,160 --> 00:40:44,520 Speaker 1: we're just coded in the gooey afterglow of an ad break. 682 00:40:45,200 --> 00:40:52,000 Speaker 1: Absolutely outstanding, astonishing. What do we? What do we? What 683 00:40:52,040 --> 00:40:53,440 Speaker 1: do we? What do we got on the dock? You 684 00:40:53,480 --> 00:41:01,920 Speaker 1: want to talk about strike? So a lot of a 685 00:41:01,960 --> 00:41:06,200 Speaker 1: lot has been said about Mitch McConnell's bodily fluid. But 686 00:41:06,320 --> 00:41:09,439 Speaker 1: if you want to imagine it, right, have you ever 687 00:41:09,480 --> 00:41:13,440 Speaker 1: gotten like really fresh yogurt and like that that that liquid, 688 00:41:13,520 --> 00:41:16,640 Speaker 1: that clear liquid that forms at the top of it. Well, 689 00:41:16,880 --> 00:41:20,600 Speaker 1: you take that clear liquid, Cody, and you you you 690 00:41:20,719 --> 00:41:23,000 Speaker 1: kind of you put it into like a cocking gun 691 00:41:23,080 --> 00:41:25,759 Speaker 1: with a mix of fifty of like like the cock 692 00:41:25,880 --> 00:41:28,120 Speaker 1: that you used to like seal the window so that 693 00:41:28,160 --> 00:41:30,640 Speaker 1: you it'll seal things, but it will also smell like 694 00:41:30,760 --> 00:41:33,680 Speaker 1: rotting dairy. And then you use that to seal your 695 00:41:33,680 --> 00:41:36,160 Speaker 1: shower so that it keeps getting hot every time, like 696 00:41:37,520 --> 00:41:43,440 Speaker 1: it's getting more bacteria. That's Mitch McConnell's come when he's hydrated. 697 00:41:43,480 --> 00:41:46,440 Speaker 1: I mean, we couldn't test that. You did talk to 698 00:41:46,440 --> 00:41:50,359 Speaker 1: me recently about getting a pet turtle. Um, you get 699 00:41:50,480 --> 00:41:54,560 Speaker 1: like a good massive turtle, really big turtle, a problem sized, 700 00:41:56,000 --> 00:42:02,920 Speaker 1: should not have it. We couldn't seem like, well, that 701 00:42:03,000 --> 00:42:07,040 Speaker 1: shouldn't be you know, I'm gonna tell my turtle story 702 00:42:07,040 --> 00:42:08,600 Speaker 1: before we get onto the next thing we have to 703 00:42:08,640 --> 00:42:11,239 Speaker 1: talk about, which is horrible abuse at the Frito Lay 704 00:42:11,239 --> 00:42:14,239 Speaker 1: production plant in Topeka, Kansas. UM. When I was a 705 00:42:14,320 --> 00:42:18,560 Speaker 1: kid in suburban plan Oh, there was one day where 706 00:42:18,600 --> 00:42:21,000 Speaker 1: suddenly there was just in the alley behind our house, 707 00:42:21,200 --> 00:42:24,480 Speaker 1: like a three hundred pound turtle. Um, just a massive, 708 00:42:24,680 --> 00:42:26,880 Speaker 1: massive animal. Uh, And we didn't know what to do 709 00:42:26,920 --> 00:42:28,640 Speaker 1: with it. So we like we kind of guided it 710 00:42:28,680 --> 00:42:33,320 Speaker 1: into our our like the parking area behind our house, 711 00:42:33,360 --> 00:42:36,520 Speaker 1: and like fed it cucumbers and stuff and just like 712 00:42:36,600 --> 00:42:38,480 Speaker 1: tried to keep it around. What we figured out what 713 00:42:38,520 --> 00:42:41,240 Speaker 1: to do with this again, like three hundred something pound turtle. 714 00:42:41,600 --> 00:42:43,799 Speaker 1: And after like thirty minutes or so, its owner came 715 00:42:43,800 --> 00:42:46,000 Speaker 1: by and explained that, like, this was just a normal turtle, 716 00:42:46,040 --> 00:42:47,759 Speaker 1: like the kind you can get anywhere, but it had 717 00:42:47,800 --> 00:42:50,400 Speaker 1: just kept growing and and you know, this is what 718 00:42:50,480 --> 00:42:53,799 Speaker 1: happens and why uh, most turtles shouldn't be pets. And 719 00:42:53,840 --> 00:42:56,200 Speaker 1: he had adopted it when it was already several hundred 720 00:42:56,200 --> 00:42:59,080 Speaker 1: pounds and kept it in his backyard, and he said, 721 00:42:59,160 --> 00:43:01,440 Speaker 1: once every couple of years, it just decides to go, 722 00:43:01,560 --> 00:43:03,440 Speaker 1: and it walks through the fence and there's nothing I 723 00:43:03,440 --> 00:43:05,560 Speaker 1: can do to stop it. It's too strong. It's just 724 00:43:06,080 --> 00:43:08,200 Speaker 1: like there's no fence I can build that will keep 725 00:43:08,200 --> 00:43:11,239 Speaker 1: the turtle in my my yard when it decides to leave. 726 00:43:11,320 --> 00:43:14,800 Speaker 1: So every couple of years, he just he just forces 727 00:43:14,880 --> 00:43:20,719 Speaker 1: his way through. Anyway, I love turtles. Want we can 728 00:43:20,760 --> 00:43:22,719 Speaker 1: try to figure out how we can get our hands 729 00:43:22,719 --> 00:43:25,000 Speaker 1: on some turtle jis and then compare it to Mitch McConnell. 730 00:43:25,080 --> 00:43:27,440 Speaker 1: Then we'll know for sure, Yeah, we can journal turtles. 731 00:43:27,480 --> 00:43:29,160 Speaker 1: I've milked a lot of animals, you might as well 732 00:43:29,200 --> 00:43:30,919 Speaker 1: try to milken a turtle. But only because I hate 733 00:43:30,960 --> 00:43:36,720 Speaker 1: science and journalism. Apparently Cody Well speaking of milking people, 734 00:43:37,000 --> 00:43:40,920 Speaker 1: the Freedo Lay company has been milking human beings in 735 00:43:41,000 --> 00:43:45,000 Speaker 1: order to create snack chips, uh and milking them to 736 00:43:45,040 --> 00:43:48,120 Speaker 1: death in some cases. That was my segue. Someone else 737 00:43:48,160 --> 00:43:53,399 Speaker 1: take it from here. I think it was perfect. Perfect. Um, Yeah, 738 00:43:53,440 --> 00:43:59,919 Speaker 1: there's a strike because it turns out many of these 739 00:44:00,400 --> 00:44:05,160 Speaker 1: multinational corporations their workers terribly to the point that, um, 740 00:44:06,200 --> 00:44:11,200 Speaker 1: they're dying, that they die hard at multiple people dying 741 00:44:11,239 --> 00:44:13,879 Speaker 1: on the job from heart attacks each year. Then they're 742 00:44:13,920 --> 00:44:16,839 Speaker 1: imagining the CEO of like PepsiCo being like I went 743 00:44:16,880 --> 00:44:19,600 Speaker 1: to space and you paid for it, thanks, folks like yeah, 744 00:44:20,080 --> 00:44:22,320 Speaker 1: And so the reason they're dying, I mean we should 745 00:44:22,360 --> 00:44:24,879 Speaker 1: probably go into like why this is such an unpleasant job, 746 00:44:24,960 --> 00:44:30,080 Speaker 1: because um, they are. So there's a massive demand for 747 00:44:30,160 --> 00:44:33,920 Speaker 1: snack food in the United States and Freedo Lay provides 748 00:44:34,080 --> 00:44:37,120 Speaker 1: most of it, probably a sizeable chunk of almost almost 749 00:44:37,120 --> 00:44:40,720 Speaker 1: all of it. And because they are, it's a situation 750 00:44:40,760 --> 00:44:44,080 Speaker 1: where there's actually not enough labor, which in a reasonable 751 00:44:44,080 --> 00:44:46,919 Speaker 1: world would make that labor more valuable and those workers better. 752 00:44:47,840 --> 00:44:51,799 Speaker 1: But the way freed most Freedo Lay workers are not unionized, 753 00:44:51,880 --> 00:44:54,399 Speaker 1: and as a result, what's happened is workers of being 754 00:44:54,440 --> 00:44:57,920 Speaker 1: increasingly subjected to what are called suicide shifts, which is 755 00:44:57,960 --> 00:44:59,759 Speaker 1: when they come in for eight hours and then at 756 00:44:59,760 --> 00:45:01,799 Speaker 1: the if their eight hour shift, they're forced to work 757 00:45:01,840 --> 00:45:04,120 Speaker 1: four more hours or lose their job. And then they 758 00:45:04,120 --> 00:45:06,480 Speaker 1: get called in four hours early, which means most of 759 00:45:06,480 --> 00:45:08,799 Speaker 1: them are working twelve hours a day, seven days a week. 760 00:45:09,000 --> 00:45:11,040 Speaker 1: A lot of them haven't had a day off and 761 00:45:11,080 --> 00:45:15,480 Speaker 1: something like half a year and that includes like weekends. Um, 762 00:45:15,520 --> 00:45:20,760 Speaker 1: and Uh, this kills people. This workload kills people. Uh. 763 00:45:20,800 --> 00:45:23,520 Speaker 1: It kills people through heart attacks because human beings shouldn't 764 00:45:23,600 --> 00:45:26,560 Speaker 1: spend every waking hour of their lives on a factory floor. 765 00:45:27,080 --> 00:45:29,399 Speaker 1: They're also not getting enough sleep, which stresses your heart. 766 00:45:29,480 --> 00:45:31,520 Speaker 1: You can't take care of yourself, you can't take care 767 00:45:31,520 --> 00:45:40,920 Speaker 1: of Yeah, it's just inhumane. Mark McCarter, Yeah, Mark, Mark McCarter, 768 00:45:41,000 --> 00:45:43,279 Speaker 1: who's a fifty nine year old who's worked at the 769 00:45:43,320 --> 00:45:46,520 Speaker 1: plant for thirty seven years. Do that math? Uh? And 770 00:45:46,640 --> 00:45:48,520 Speaker 1: is the union steward at the plant because about a 771 00:45:48,520 --> 00:45:50,839 Speaker 1: little less than I think half the workers are unionized. 772 00:45:51,040 --> 00:45:53,400 Speaker 1: Told Vice, it seems like I go to one funeral 773 00:45:53,440 --> 00:45:55,080 Speaker 1: a year for someone who's had a heart attack at work, 774 00:45:55,160 --> 00:45:56,760 Speaker 1: or someone who went home to their barn and shot 775 00:45:56,800 --> 00:45:59,880 Speaker 1: themselves in the head or hung themselves. Um. Because if 776 00:45:59,920 --> 00:46:02,600 Speaker 1: you makes you you're going to kill yourself. Like why 777 00:46:02,600 --> 00:46:05,040 Speaker 1: would you keep living if if all you have to 778 00:46:05,080 --> 00:46:08,640 Speaker 1: look forward to is seven days a week of working 779 00:46:08,680 --> 00:46:13,040 Speaker 1: every waking hour to make snack chips, um and barely 780 00:46:13,120 --> 00:46:17,239 Speaker 1: getting enough to survive, it's just a nightmare. Um. And yeah, 781 00:46:17,280 --> 00:46:20,560 Speaker 1: there's at least one story of a co worker collapsing 782 00:46:20,640 --> 00:46:23,960 Speaker 1: on the line and dying and managers of the company 783 00:46:24,040 --> 00:46:27,840 Speaker 1: moving the corpse and putting another coworker on managers telling 784 00:46:27,880 --> 00:46:30,160 Speaker 1: other workers you know, they had to move, they had 785 00:46:30,200 --> 00:46:32,400 Speaker 1: to move the corse. Was that a person that actually 786 00:46:32,960 --> 00:46:37,400 Speaker 1: died and that happened that somebody that collapsed they died. Wow? 787 00:46:38,719 --> 00:46:41,760 Speaker 1: And then they're making room for the person that replaces them. Wow. 788 00:46:42,000 --> 00:46:46,839 Speaker 1: OSHA is currently investigating the thing. Um. Yeah. And and 789 00:46:46,880 --> 00:46:50,600 Speaker 1: they have previously find the plant for cases involving amputation 790 00:46:51,040 --> 00:46:54,440 Speaker 1: and vehicular accidents. So this is a known problem. And 791 00:46:54,520 --> 00:46:57,799 Speaker 1: as a general rule, like here's the way, I have 792 00:46:57,840 --> 00:47:01,439 Speaker 1: a lot actually multiple family members who are ocean inspectors. Uh. 793 00:47:01,480 --> 00:47:04,440 Speaker 1: And you know it's an important thing to exist. But 794 00:47:04,560 --> 00:47:06,160 Speaker 1: at the end of the day, how it often ends 795 00:47:06,200 --> 00:47:09,759 Speaker 1: up working is if the punishment for a crime is 796 00:47:09,800 --> 00:47:13,560 Speaker 1: a fine, it's not a crime. For companies. No, it's 797 00:47:13,600 --> 00:47:16,239 Speaker 1: cheaper to pay the fine than to exactly fixed working 798 00:47:16,239 --> 00:47:18,759 Speaker 1: conditions and pay your employees more. So they'll just keep 799 00:47:18,880 --> 00:47:22,280 Speaker 1: killing people and paying the fines. That's cheaper now. During 800 00:47:22,400 --> 00:47:25,680 Speaker 1: COVID UH, some workers got an extra hundred a week, 801 00:47:25,719 --> 00:47:27,799 Speaker 1: but only for a few weeks. It didn't last long. 802 00:47:28,280 --> 00:47:31,320 Speaker 1: Management staff like the actual kind of like middle class 803 00:47:31,320 --> 00:47:34,920 Speaker 1: workers were allowed to just work from home during the pandemic, 804 00:47:34,960 --> 00:47:38,440 Speaker 1: but workers were forced to crowd into a massive, stuffy 805 00:47:38,480 --> 00:47:41,600 Speaker 1: warehouse with each other in a plant that lacks air 806 00:47:41,640 --> 00:47:45,200 Speaker 1: conditioning throughout the summer. Um. So it's it's usually about 807 00:47:45,200 --> 00:47:48,480 Speaker 1: a hundred degrees by the time work starts, and like 808 00:47:48,600 --> 00:47:51,320 Speaker 1: cooking chips the whole time, and like big deep frier, 809 00:47:51,400 --> 00:47:54,239 Speaker 1: it's like it's it's very hot. Yeah, it's start to 810 00:47:54,400 --> 00:47:58,680 Speaker 1: start off at a hundred degrees before you do. And 811 00:47:58,719 --> 00:48:01,839 Speaker 1: then you have three oil and giant vats going all 812 00:48:01,920 --> 00:48:04,240 Speaker 1: day for twelve hours. Yeah, I mean, so the gist 813 00:48:04,239 --> 00:48:08,080 Speaker 1: of yeah, don't buy Freedo layer PepsiCo products. They are official. 814 00:48:08,160 --> 00:48:11,759 Speaker 1: They're not like doing an official boycott, but they are 815 00:48:11,800 --> 00:48:15,880 Speaker 1: asking you to. Uh, there are workers asking people to 816 00:48:15,960 --> 00:48:19,480 Speaker 1: not buy freed to lay products right now. And I'm 817 00:48:19,520 --> 00:48:23,080 Speaker 1: fine with that. And PepsiCo because they own freedom. Yeah, 818 00:48:23,120 --> 00:48:26,440 Speaker 1: and you should just look at PepsiCo to be horrified 819 00:48:26,440 --> 00:48:29,680 Speaker 1: at how many things they are like just as like 820 00:48:29,719 --> 00:48:31,600 Speaker 1: a fun thing to do in your spare time. Just 821 00:48:31,640 --> 00:48:35,120 Speaker 1: look at PepsiCo because you got all the freedom of choice. 822 00:48:36,120 --> 00:48:38,600 Speaker 1: I love, Yeah, I do love. I do love the 823 00:48:38,640 --> 00:48:45,239 Speaker 1: freedom of choice in America and every basically every other country. Yeah. 824 00:48:47,280 --> 00:48:50,360 Speaker 1: Well that's the nice thing about Zevia. It's not owned 825 00:48:50,360 --> 00:48:54,680 Speaker 1: by PepsiCo or Coca Cola. So buy ze Via, the 826 00:48:54,719 --> 00:48:57,360 Speaker 1: beverage that Robert drinks to wash down the creatum that 827 00:48:57,400 --> 00:49:02,080 Speaker 1: allows him to function and tastes that fake sweetener. Yeah, 828 00:49:02,080 --> 00:49:06,000 Speaker 1: it's definitely fake. It's realer than the sweeteners and that 829 00:49:06,080 --> 00:49:10,400 Speaker 1: taste is I don't like it. It's soda either, So okay, 830 00:49:11,040 --> 00:49:14,240 Speaker 1: it's a plant. It's you try washing down the creatum 831 00:49:14,480 --> 00:49:17,960 Speaker 1: that you need in order to function. What have you tried? 832 00:49:18,000 --> 00:49:26,680 Speaker 1: There's some really I'm great, Cody. So yeah. So then 833 00:49:26,760 --> 00:49:33,520 Speaker 1: in in late June, yes, actually, let Harrison speak boys. 834 00:49:33,560 --> 00:49:37,680 Speaker 1: So so in in in late June, workers voted a 835 00:49:37,719 --> 00:49:42,320 Speaker 1: three hundred and fifty to thirty in favor Yeah, the 836 00:49:43,400 --> 00:49:46,800 Speaker 1: three um to thirty in favor of authorizing a strike 837 00:49:47,320 --> 00:49:49,480 Speaker 1: UM and then the work that the strike began on 838 00:49:49,640 --> 00:49:51,600 Speaker 1: July five, I believe, so it's going on to like 839 00:49:51,640 --> 00:49:55,160 Speaker 1: work week three right now. UM. And that doesn't mean 840 00:49:55,200 --> 00:49:59,560 Speaker 1: the production plant is stopped. They're still working. It's believed 841 00:49:59,600 --> 00:50:02,800 Speaker 1: to be an significantly reduced capacity. But again, like the 842 00:50:03,760 --> 00:50:05,560 Speaker 1: I think at this point more than half of the 843 00:50:05,600 --> 00:50:08,399 Speaker 1: staff has joined the strike, but less than half were 844 00:50:08,400 --> 00:50:12,440 Speaker 1: with the union when it started. UM, so around I 845 00:50:12,440 --> 00:50:16,520 Speaker 1: think I think we're what around like six hundred people. Yeah, 846 00:50:16,600 --> 00:50:23,280 Speaker 1: I believe striking at the moment um. Yeah, union membership 847 00:50:23,320 --> 00:50:30,280 Speaker 1: is yeah, it should be. I mean that's the proact 848 00:50:32,200 --> 00:50:34,399 Speaker 1: that that would be. That would be good. Yeah. Also, 849 00:50:34,520 --> 00:50:37,520 Speaker 1: in your spare time when you're googling PepsiCo, also google 850 00:50:37,600 --> 00:50:40,080 Speaker 1: the pro act because that actually would be super helpful 851 00:50:40,440 --> 00:50:45,680 Speaker 1: for Amazon's UM union efforts. PepsiCo, like any lot of 852 00:50:45,840 --> 00:50:47,600 Speaker 1: for a lot a lot of these big corporations, that 853 00:50:47,640 --> 00:50:51,520 Speaker 1: will really help with union elections UM and stopping the 854 00:50:51,560 --> 00:50:55,040 Speaker 1: ability for these big companies to intimidate and just like crime, 855 00:50:55,120 --> 00:51:00,680 Speaker 1: their way out of having to follow the union loss. Um, 856 00:51:00,719 --> 00:51:02,600 Speaker 1: So yeah, you should. You should definitely look up the 857 00:51:02,600 --> 00:51:04,839 Speaker 1: pro act. I know Bernie's trying to get it in 858 00:51:05,080 --> 00:51:08,120 Speaker 1: for some of the some of the new economic plans. 859 00:51:08,160 --> 00:51:16,080 Speaker 1: But we'll see how that works out. Um yeah, yep, yeah, 860 00:51:16,600 --> 00:51:23,920 Speaker 1: no funyans for you guys, don't eat funians. But if you, 861 00:51:24,200 --> 00:51:27,880 Speaker 1: if you loot fun okay, well, if you, if you 862 00:51:28,000 --> 00:51:31,640 Speaker 1: burn foot wait wait yeah, okay, I mean, are a 863 00:51:31,719 --> 00:51:36,239 Speaker 1: useful fire starter. That's what I mean. Here's a here's 864 00:51:36,280 --> 00:51:38,919 Speaker 1: a pro survival tip for all of you. Virtually all 865 00:51:39,040 --> 00:51:43,520 Speaker 1: major American snack chips are effectives fire starters in a pinch. Um, 866 00:51:44,719 --> 00:51:49,879 Speaker 1: yeah they burned good. Oh yeah, they burn real good. 867 00:51:50,160 --> 00:51:52,319 Speaker 1: I guess that's one thing we should mention as well. Um. 868 00:51:52,320 --> 00:51:55,080 Speaker 1: There's in the town where they're doing to strike, a 869 00:51:55,120 --> 00:51:57,479 Speaker 1: local magazine has set up a fund to help pay 870 00:51:57,520 --> 00:52:01,840 Speaker 1: the workers bills UM right now. It's the the the 871 00:52:01,840 --> 00:52:06,480 Speaker 1: the seven eight five Utility Relief Fund. UM for support 872 00:52:06,560 --> 00:52:09,080 Speaker 1: for UM the union workers who are currently on strike 873 00:52:09,160 --> 00:52:13,719 Speaker 1: right now. So five Utility Relief Fund. Try to we'll 874 00:52:13,719 --> 00:52:16,880 Speaker 1: put that in the add that to the end of 875 00:52:16,920 --> 00:52:19,479 Speaker 1: this thing in the dock and yes, well and that's 876 00:52:19,560 --> 00:52:21,360 Speaker 1: you know, we talk a lot about mutual aid on 877 00:52:21,400 --> 00:52:25,120 Speaker 1: this podcast. UM, and we also have talked about a 878 00:52:25,160 --> 00:52:27,200 Speaker 1: general strike. So like one of the things that has 879 00:52:27,239 --> 00:52:30,800 Speaker 1: happened recently is some people made a flyer saying I 880 00:52:30,840 --> 00:52:32,120 Speaker 1: don't know, I think I think it's supposed to be 881 00:52:32,200 --> 00:52:35,319 Speaker 1: like a couple of weeks everybody, we're doing a general strike. 882 00:52:35,360 --> 00:52:38,640 Speaker 1: Everybody don't work on this specific day. UM. And it's 883 00:52:38,680 --> 00:52:40,680 Speaker 1: dumb and it's a bad idea and all it is 884 00:52:40,680 --> 00:52:44,120 Speaker 1: is like somebody wanted to feel like they were organizing, 885 00:52:44,160 --> 00:52:46,359 Speaker 1: and so they made a flyer, which is not something 886 00:52:46,400 --> 00:52:50,160 Speaker 1: people from Portland ever have any experience with. UM. But yeah, 887 00:52:50,200 --> 00:52:53,799 Speaker 1: somebody made a flyer and like here's the here's Yeah, 888 00:52:53,840 --> 00:52:58,080 Speaker 1: it's just it's just a flyer. Um. There's no organizations 889 00:52:58,120 --> 00:52:59,880 Speaker 1: signed onto it that I'm aware of. There's been no 890 00:53:00,360 --> 00:53:02,960 Speaker 1: The reason why you shouldn't take it seriously and should 891 00:53:02,960 --> 00:53:06,360 Speaker 1: ignore it is that nobody is talking about or taking 892 00:53:06,440 --> 00:53:09,480 Speaker 1: like nobody who like when they put it together, there 893 00:53:09,480 --> 00:53:16,399 Speaker 1: were no unions involved, there were no organizations, zations. You 894 00:53:16,440 --> 00:53:19,240 Speaker 1: have to have a fund. That's like what we're talking 895 00:53:19,239 --> 00:53:22,600 Speaker 1: about with with these striking freedom lay workers. You have 896 00:53:22,680 --> 00:53:26,200 Speaker 1: to have resources set aside to allow this thing to 897 00:53:26,239 --> 00:53:30,680 Speaker 1: go on. A one day general strike will accomplish nothing. Um. 898 00:53:30,760 --> 00:53:34,239 Speaker 1: You have to be ready to say it might get 899 00:53:34,280 --> 00:53:37,400 Speaker 1: some people fired, um, but it's not going to do 900 00:53:37,440 --> 00:53:39,680 Speaker 1: a damn thing, And you have to get people. You 901 00:53:39,760 --> 00:53:41,839 Speaker 1: have to start into that saying like, this is who 902 00:53:41,840 --> 00:53:43,560 Speaker 1: we have on board. These are the kind of resources 903 00:53:43,600 --> 00:53:47,040 Speaker 1: that we are attempting to marshal. You know, we're working 904 00:53:47,080 --> 00:53:49,680 Speaker 1: on making sure that we have food capacity, that we're 905 00:53:49,719 --> 00:53:52,000 Speaker 1: able to take care of people, help them like not 906 00:53:52,080 --> 00:53:54,680 Speaker 1: because you know, these things gain power over time like that. 907 00:53:54,800 --> 00:53:57,480 Speaker 1: That's that's how they that's how they actually get get 908 00:53:59,080 --> 00:54:02,160 Speaker 1: doing it once. And you have to treat it like 909 00:54:02,239 --> 00:54:05,160 Speaker 1: the infrastructure problem it is, and it is an infrastructure problem. 910 00:54:05,160 --> 00:54:06,920 Speaker 1: No general strike is going to get off the ground 911 00:54:06,920 --> 00:54:10,120 Speaker 1: without infrastructure. Um. And that means feeding people. It means 912 00:54:10,160 --> 00:54:12,640 Speaker 1: making sure that like medical care is available for them. 913 00:54:12,640 --> 00:54:14,440 Speaker 1: It means making sure they have the kind of things 914 00:54:14,480 --> 00:54:16,160 Speaker 1: that are going to be necessary to go toe to 915 00:54:16,160 --> 00:54:18,200 Speaker 1: toe with the police. It also means making sure that 916 00:54:18,239 --> 00:54:21,399 Speaker 1: either you are building resources in order to help people 917 00:54:21,400 --> 00:54:24,600 Speaker 1: who are striking deal with rent or mortgages, or you're 918 00:54:24,640 --> 00:54:28,799 Speaker 1: setting up organizational capacity to do like eviction resistance and 919 00:54:28,800 --> 00:54:31,360 Speaker 1: that kind of stuff, Like all of that's necessary. Otherwise 920 00:54:31,400 --> 00:54:34,359 Speaker 1: it doesn't matter. Um, you can't just you can make 921 00:54:34,520 --> 00:54:36,520 Speaker 1: if you have If you're angry about a local issue 922 00:54:36,520 --> 00:54:37,920 Speaker 1: and you want there to be a protest, you can 923 00:54:37,960 --> 00:54:41,000 Speaker 1: throw out a flyer and sometimes that works out. All right. Um, 924 00:54:41,080 --> 00:54:43,560 Speaker 1: you can't do that with a general strike, because a 925 00:54:43,640 --> 00:54:46,640 Speaker 1: general strike the kind of general strike that's necessary to 926 00:54:46,640 --> 00:54:49,120 Speaker 1: deal with the problems of like climate and wealth inequality 927 00:54:49,200 --> 00:54:53,080 Speaker 1: and racism among the police, all of the major problems 928 00:54:53,760 --> 00:54:56,400 Speaker 1: that are confronting us. Like when you talk about the 929 00:54:56,400 --> 00:54:58,600 Speaker 1: general strike necessary to have a difference on that, you're 930 00:54:58,640 --> 00:55:03,239 Speaker 1: talking you were literally talking about a logistical problem at 931 00:55:03,320 --> 00:55:06,960 Speaker 1: least as complicated as putting a man on the fucking moon. Um. 932 00:55:07,000 --> 00:55:10,120 Speaker 1: It will be the most difficult thing that a generation 933 00:55:10,160 --> 00:55:12,719 Speaker 1: has done in living memory. Um. Which isn't a reason 934 00:55:12,760 --> 00:55:14,279 Speaker 1: not to do it. It's a reason to take it 935 00:55:14,360 --> 00:55:16,640 Speaker 1: seriously and not just put together a poster and say 936 00:55:16,680 --> 00:55:20,279 Speaker 1: general strike time, because that doesn't do it. Is a 937 00:55:20,360 --> 00:55:23,080 Speaker 1: nice look a poster, Is it well designed? Not? Really? 938 00:55:25,080 --> 00:55:28,360 Speaker 1: Graphic design is hard, everybody, it's it's it's challenging to 939 00:55:28,400 --> 00:55:31,640 Speaker 1: make good graphic design, but that's the least important part 940 00:55:31,640 --> 00:55:34,240 Speaker 1: of it. The poster doesn't need to look nice. Um 941 00:55:34,239 --> 00:55:37,560 Speaker 1: do we have enough time to briefly mention the transfrates 942 00:55:37,560 --> 00:55:44,279 Speaker 1: protests in l A. Yeah? Um, yeah, yeah, So I 943 00:55:44,320 --> 00:55:46,279 Speaker 1: guess this. This whole thing started a few weeks ago 944 00:55:46,400 --> 00:55:49,640 Speaker 1: with a video that went viral of of of a 945 00:55:49,719 --> 00:55:52,480 Speaker 1: woman at a like at a spa clean spa, which 946 00:55:52,520 --> 00:55:57,880 Speaker 1: is a great place. Let me just say, I just 947 00:55:58,000 --> 00:56:02,640 Speaker 1: need to take a plug plug. You've been there, Robert 948 00:56:03,080 --> 00:56:05,879 Speaker 1: open twenty four hours a day. You can live there, 949 00:56:06,040 --> 00:56:08,080 Speaker 1: you can live there. You we will bring like they're 950 00:56:08,120 --> 00:56:12,560 Speaker 1: sleeping bag there. But yeah, it's to use the facilities 951 00:56:12,600 --> 00:56:16,880 Speaker 1: you could use to like the spa area or whatever, 952 00:56:16,920 --> 00:56:19,000 Speaker 1: and then like go and lane as sauna or just 953 00:56:19,160 --> 00:56:23,640 Speaker 1: hang out. It's very peaceful. And yes, they're inclusive in 954 00:56:23,680 --> 00:56:27,520 Speaker 1: their policies. Yes. And so this woman there's a viral 955 00:56:27,600 --> 00:56:32,480 Speaker 1: video of this woman claiming that she saw a penis 956 00:56:32,719 --> 00:56:35,640 Speaker 1: um because there was a trans woman there. Now, the 957 00:56:36,280 --> 00:56:39,360 Speaker 1: spa says that they did not have any trans customers 958 00:56:39,400 --> 00:56:42,719 Speaker 1: there that day and that the because then I don't 959 00:56:42,760 --> 00:56:45,440 Speaker 1: love that response either, to be honest. But yeah, I know, 960 00:56:45,840 --> 00:56:49,920 Speaker 1: but we're unsure of the origin of the video. If 961 00:56:49,920 --> 00:56:51,759 Speaker 1: this woman was just lying to make this kind of 962 00:56:51,840 --> 00:56:55,000 Speaker 1: big deal or what. We don't We don't we don't 963 00:56:55,040 --> 00:56:57,600 Speaker 1: really know. I mean, in the video, SPA employees are 964 00:56:57,640 --> 00:57:00,680 Speaker 1: telling or telling this lady about their non discriminate policies 965 00:57:00,680 --> 00:57:03,280 Speaker 1: and stuff. But that's the thing I want to highlight 966 00:57:03,320 --> 00:57:07,120 Speaker 1: for a week, spouse, that they do have a nondiscrimination policy. 967 00:57:07,160 --> 00:57:10,000 Speaker 1: If they're traveling into Los Angeles and you don't have 968 00:57:10,040 --> 00:57:15,560 Speaker 1: hotel money, you canneriously not a bad way, not a 969 00:57:15,560 --> 00:57:18,920 Speaker 1: bad I went there once at like eleven PM to relax, 970 00:57:19,000 --> 00:57:21,080 Speaker 1: and I struck up a conversation with a woman who 971 00:57:21,160 --> 00:57:24,960 Speaker 1: was doing just that. M But yeah, so that this 972 00:57:25,080 --> 00:57:28,000 Speaker 1: video was quick quickly picked up by like right wing commentars, 973 00:57:28,000 --> 00:57:32,480 Speaker 1: It made it made its way onto onto Tucker Carlson, UM, 974 00:57:32,480 --> 00:57:36,000 Speaker 1: it got a million views and retweets after Ean Miles 975 00:57:36,080 --> 00:57:41,720 Speaker 1: chung he's a he's a fascist who does not live 976 00:57:41,720 --> 00:57:45,280 Speaker 1: in America, who makes money off American politics, um. And 977 00:57:45,320 --> 00:57:48,120 Speaker 1: basically this has made it like a coalition of far 978 00:57:48,280 --> 00:57:52,360 Speaker 1: right people and like conservatives, anti transactivists UM, including like 979 00:57:52,400 --> 00:57:55,840 Speaker 1: you know, Q and Nanni people like COVID hoax people. 980 00:57:57,000 --> 00:58:00,240 Speaker 1: It was all coming down to initially like a hack 981 00:58:00,360 --> 00:58:03,280 Speaker 1: this place. Um, and then there's been you know, uh, 982 00:58:03,320 --> 00:58:07,520 Speaker 1: there's been people who are trans and people who support transport. 983 00:58:07,520 --> 00:58:11,439 Speaker 1: It's coming to both like defend themselves and the SPA. 984 00:58:11,640 --> 00:58:14,600 Speaker 1: And this has gotten a few protests in the last 985 00:58:14,640 --> 00:58:18,320 Speaker 1: few and the cops most recently arrested dozens of people 986 00:58:18,400 --> 00:58:25,040 Speaker 1: shot people blank with with riot munitions. Um stomped on 987 00:58:25,120 --> 00:58:29,920 Speaker 1: a trans flag just out of out of its goddamn mind. 988 00:58:30,280 --> 00:58:32,440 Speaker 1: I mean, yeah, it's it's it's it's pretty nasty, and 989 00:58:32,560 --> 00:58:34,760 Speaker 1: you can you can easily like the police are protecting 990 00:58:34,840 --> 00:58:39,040 Speaker 1: all of like the pedophilia protesters and the and you 991 00:58:39,080 --> 00:58:41,880 Speaker 1: know the anti trans protestors are like specifically sectioning them off, 992 00:58:41,880 --> 00:58:46,280 Speaker 1: protecting them. Um. Well, then like like they on the 993 00:58:46,360 --> 00:58:48,920 Speaker 1: last protest this weekend, they gave a dispersal order and 994 00:58:48,920 --> 00:58:52,080 Speaker 1: people started dispersing, and cops are like charging down the 995 00:58:52,120 --> 00:58:55,040 Speaker 1: street shooting people as they were trying to run away. 996 00:58:55,160 --> 00:58:56,840 Speaker 1: So like, you know, this is this is also you 997 00:58:56,840 --> 00:58:58,160 Speaker 1: see this in a a lot of other cities. This is 998 00:58:58,160 --> 00:59:01,600 Speaker 1: this is an uncommon It's yes, but it's not uncommon, 999 00:59:01,960 --> 00:59:04,960 Speaker 1: um that they just you know, attack whenever they want to, 1000 00:59:05,000 --> 00:59:07,400 Speaker 1: and when someone's vulnerable, like they're running away, they're gonna 1001 00:59:07,400 --> 00:59:09,560 Speaker 1: they're yeah, they're still gonna shoot him, because that's which 1002 00:59:09,640 --> 00:59:13,600 Speaker 1: what she's here. Yeah. They're not there to protect anything. 1003 00:59:13,720 --> 00:59:16,240 Speaker 1: They're there to do damage to people because it's fun 1004 00:59:16,240 --> 00:59:19,680 Speaker 1: for them. And I think, yeah, yes, but this story, 1005 00:59:19,840 --> 00:59:24,480 Speaker 1: I mean, we've talked about this before, but this story 1006 00:59:24,640 --> 00:59:29,440 Speaker 1: is just an example of, um, all of the increased 1007 00:59:29,960 --> 00:59:33,640 Speaker 1: calls and rhetoric about you know, defending women's spaces, you know, 1008 00:59:33,920 --> 00:59:38,360 Speaker 1: and yeah, we're seasingly like a rallying cry for people 1009 00:59:38,360 --> 00:59:41,040 Speaker 1: with anti trans ideology, you know, and it's it's a 1010 00:59:41,160 --> 00:59:45,400 Speaker 1: it's the new talking point. J. K. Rowling is doing 1011 00:59:45,440 --> 00:59:48,720 Speaker 1: a lot of this right now as well. She's continuing 1012 00:59:48,800 --> 00:59:52,080 Speaker 1: to do this. She's continuing to get like a whole mob. 1013 00:59:52,120 --> 00:59:54,440 Speaker 1: I said, someone like randomly attacked me on Twitter a 1014 00:59:54,440 --> 00:59:57,200 Speaker 1: few days ago, even though I'm not like, I'm not 1015 00:59:57,240 --> 01:00:01,400 Speaker 1: like super overtly trans or anything, but um, I'm you know, 1016 01:00:01,720 --> 01:00:04,080 Speaker 1: gender queer enough that you know, I had a woman 1017 01:00:04,200 --> 01:00:08,360 Speaker 1: with the three little suffragette hearts go after me, which 1018 01:00:08,400 --> 01:00:11,880 Speaker 1: is just pretty funny. It's god as you think it's funny. 1019 01:00:11,880 --> 01:00:14,120 Speaker 1: It's awful. I mean, yeah, it's you know, it's it's 1020 01:00:14,160 --> 01:00:16,200 Speaker 1: it's real, it's it's real bad. But like you're seeing, 1021 01:00:16,200 --> 01:00:18,400 Speaker 1: you know, a mix of people who call themselves liberals 1022 01:00:18,400 --> 01:00:19,720 Speaker 1: do this, who are like on like you know what 1023 01:00:19,800 --> 01:00:22,000 Speaker 1: you call like the turfy side of things. And then 1024 01:00:22,040 --> 01:00:25,640 Speaker 1: we're seeing like a big coalition of people, um who 1025 01:00:25,680 --> 01:00:27,960 Speaker 1: you know you a few months ago we're focused on 1026 01:00:28,520 --> 01:00:30,880 Speaker 1: critical race theory. I think I now I'm seeing people 1027 01:00:30,920 --> 01:00:33,840 Speaker 1: move over to this kind of trans thing again. Um 1028 01:00:33,920 --> 01:00:35,560 Speaker 1: and yeah, because I mean we're seeing you know, the 1029 01:00:35,840 --> 01:00:39,680 Speaker 1: the anti pedophile thing is is really popular here. Save 1030 01:00:39,720 --> 01:00:44,560 Speaker 1: your children, Save our children. We're seeing a lot of 1031 01:00:44,560 --> 01:00:46,640 Speaker 1: these like make figures. Like in l A, there's like 1032 01:00:46,680 --> 01:00:49,680 Speaker 1: specific like kind of like fashy like influencers who are 1033 01:00:49,680 --> 01:00:51,280 Speaker 1: all showing up to these things to try to get 1034 01:00:51,320 --> 01:00:53,640 Speaker 1: more and more people to be talking about the specific 1035 01:00:53,680 --> 01:00:55,960 Speaker 1: thing and making just trans people's lives a whole lot harder. 1036 01:00:55,960 --> 01:00:58,000 Speaker 1: It's kind of just third goal right now. I'll just 1037 01:00:58,080 --> 01:01:03,000 Speaker 1: also point out California has for many years have had 1038 01:01:03,240 --> 01:01:06,920 Speaker 1: laws in place that California does have non discrimination bus 1039 01:01:07,800 --> 01:01:10,920 Speaker 1: trans people to use the facilities that that match uh 1040 01:01:11,040 --> 01:01:19,400 Speaker 1: their gender. Uh so them not these people like, no, yeah, 1041 01:01:19,600 --> 01:01:26,480 Speaker 1: there's there's scum. They just want to hurt people. Um, yeah, nope, yep, 1042 01:01:27,080 --> 01:01:30,760 Speaker 1: that's that's kind of all all you need to say. Um, 1043 01:01:30,800 --> 01:01:33,920 Speaker 1: and yeah, find out, you know, support trains people in 1044 01:01:33,920 --> 01:01:37,920 Speaker 1: your community. Yeah, absolutely, support trains people in your community. 1045 01:01:38,120 --> 01:01:43,000 Speaker 1: And I don't know, use the newly gained knowledge about 1046 01:01:43,000 --> 01:01:51,040 Speaker 1: how flammable freedo's are too, is it very freedo cocktails? Yeah, 1047 01:01:51,240 --> 01:01:55,160 Speaker 1: freedo cocktails and roadblocks? Oh yeah, we have to we 1048 01:01:55,160 --> 01:01:56,840 Speaker 1: have to do in roadblocks. Now. By the way, I'm 1049 01:01:56,840 --> 01:01:58,440 Speaker 1: not sure if we can explain this on the pot yet, 1050 01:01:58,520 --> 01:02:03,560 Speaker 1: but yeah, yeah, you can craft anymore. The FBI they 1051 01:02:03,560 --> 01:02:07,160 Speaker 1: cracked it. FBI cracked in Minecraft. It was said in court. 1052 01:02:07,680 --> 01:02:11,840 Speaker 1: It is so funny how many Affidavid's from like boog 1053 01:02:11,920 --> 01:02:14,880 Speaker 1: Boys arrested trying to do ship and like the Capital 1054 01:02:15,000 --> 01:02:18,560 Speaker 1: Rioters and like involve FBI agents. It's explaining in micraft 1055 01:02:19,720 --> 01:02:23,040 Speaker 1: in courts to federal judges. But anyway, yeah, we have to, 1056 01:02:23,080 --> 01:02:28,120 Speaker 1: we have to have to stop. It'll never crack roadblocks. 1057 01:02:28,680 --> 01:02:31,880 Speaker 1: Minecraft is understandable. Roadblocks is still a mystery even to me. 1058 01:02:32,040 --> 01:02:35,720 Speaker 1: So in roadblocks is the way of the future. Um, Yeah, 1059 01:02:35,760 --> 01:02:39,120 Speaker 1: if you're planning stochastic terrorism in roadblocks is what you 1060 01:02:39,120 --> 01:02:44,160 Speaker 1: have to do in now. Okay, alright, guys, I think 1061 01:02:44,200 --> 01:02:46,520 Speaker 1: that does it for us this week. You can check 1062 01:02:46,600 --> 01:02:49,840 Speaker 1: us out online, at worst your pod. Then that's what 1063 01:02:49,920 --> 01:02:51,920 Speaker 1: I have to say to you. Yeah, check us out 1064 01:02:51,960 --> 01:02:56,080 Speaker 1: at worst your pod. Figure out what roadblocks is. Don't 1065 01:02:56,160 --> 01:02:58,000 Speaker 1: let us know though we don't really need to. When 1066 01:02:58,000 --> 01:03:01,480 Speaker 1: I say in Minecraft, I mean in the actual gamele atograft. Yeah. Um, 1067 01:03:02,200 --> 01:03:05,640 Speaker 1: Cody in Minecraft, which he plays because he's a nerd. No, 1068 01:03:05,680 --> 01:03:09,240 Speaker 1: I'm become up child to the Baby's a baby game 1069 01:03:09,320 --> 01:03:14,400 Speaker 1: for babies. It's amazing. Make him feel ashamed for the 1070 01:03:14,480 --> 01:03:18,680 Speaker 1: things that he enjoys. That's what we all hope for, 1071 01:03:18,680 --> 01:03:30,360 Speaker 1: for Cody and for ourselves anyway. So everything So Dumb, 1072 01:03:33,480 --> 01:03:37,760 Speaker 1: I Tried Still Worst Year Ever is a production of 1073 01:03:37,800 --> 01:03:40,560 Speaker 1: I Heart Radio. For more podcasts from my Heart Radio, 1074 01:03:40,680 --> 01:03:43,600 Speaker 1: visit the i heart Radio app, Apple Podcasts, or wherever 1075 01:03:43,640 --> 01:03:45,000 Speaker 1: you listen to your favorite shows.