1 00:00:00,200 --> 00:00:07,040 Speaker 1: Welcome to Worst Year Ever, a production of I Heart Radio. 2 00:00:06,680 --> 00:00:25,160 Speaker 1: We get everything, so don't do pop. Welcome to the show. 3 00:00:25,920 --> 00:00:30,680 Speaker 1: We are the podcasters that you are listening to. Now 4 00:00:31,480 --> 00:00:33,840 Speaker 1: this is the news theme song. It's not very good. 5 00:00:34,000 --> 00:00:37,320 Speaker 1: Cody could be better? Did you did you? Did you 6 00:00:37,360 --> 00:00:40,440 Speaker 1: record that at Muscle Shoals? Did you get did you 7 00:00:40,479 --> 00:00:43,600 Speaker 1: get a record deal? Because that's that's that's some music 8 00:00:43,720 --> 00:00:47,879 Speaker 1: right there. Muscle Muscle Shoals is where all the great 9 00:00:48,040 --> 00:00:52,880 Speaker 1: all the great artists record muscles, like muscles from Brussels, 10 00:00:53,200 --> 00:00:56,279 Speaker 1: or like muscles from the sea. I think like from 11 00:00:56,320 --> 00:00:59,680 Speaker 1: the sea. Ye see, it's we're all the great albums 12 00:00:59,680 --> 00:01:03,280 Speaker 1: were recorded and where Cody's gonna go to record his 13 00:01:03,320 --> 00:01:10,360 Speaker 1: new album? From Sharp introduced a podcast by um this 14 00:01:10,440 --> 00:01:13,920 Speaker 1: is the worst year ever. Yes, I couldn't agree more. 15 00:01:14,160 --> 00:01:17,000 Speaker 1: I could not agree more. Apparently there's also a podcast, 16 00:01:17,240 --> 00:01:19,840 Speaker 1: but that's not what I'm really talking about. No, it's 17 00:01:19,880 --> 00:01:26,679 Speaker 1: the year, the never ending two years of our lives. Yeah, 18 00:01:27,720 --> 00:01:29,800 Speaker 1: have you ever you guys heard of the concept of 19 00:01:29,800 --> 00:01:34,720 Speaker 1: I think it's it was eternal September, internal summer and 20 00:01:34,840 --> 00:01:38,039 Speaker 1: listen eternal September. So way back in the day, in 21 00:01:38,080 --> 00:01:40,800 Speaker 1: the early days, of the Internet right pretty much the 22 00:01:40,840 --> 00:01:42,720 Speaker 1: only way you'd have access to the Internet is if 23 00:01:42,720 --> 00:01:45,160 Speaker 1: you were at a college or some sort of other institution, 24 00:01:45,280 --> 00:01:47,480 Speaker 1: because like everything was connected together in the ARP and 25 00:01:47,520 --> 00:01:51,000 Speaker 1: that um, like normal people didn't just get on the Internet. 26 00:01:51,040 --> 00:01:53,720 Speaker 1: You had to get into it through the institution, and 27 00:01:53,760 --> 00:01:57,960 Speaker 1: so um, every summer, like in September, I think it 28 00:01:58,040 --> 00:02:00,200 Speaker 1: was all of the you know, classes would start and 29 00:02:00,240 --> 00:02:02,480 Speaker 1: all of the new people would get access to the 30 00:02:02,520 --> 00:02:05,400 Speaker 1: Internet for the first time, and it was known by 31 00:02:05,400 --> 00:02:06,840 Speaker 1: all of the people on the internet is like the 32 00:02:06,880 --> 00:02:09,360 Speaker 1: worst month, Like September was always the ship month because 33 00:02:09,360 --> 00:02:10,840 Speaker 1: all these new people get on the Internet, they have 34 00:02:10,880 --> 00:02:12,480 Speaker 1: to learn the rules, they have to learn like all 35 00:02:12,520 --> 00:02:16,000 Speaker 1: of the different behavioral mores, and they're just like insufferable 36 00:02:16,040 --> 00:02:18,760 Speaker 1: for like a month or two, like until they get 37 00:02:18,800 --> 00:02:24,639 Speaker 1: acclimated to the culture. And then I forget the exact 38 00:02:24,720 --> 00:02:27,680 Speaker 1: year it happened, But sometime in the early nineties, like 39 00:02:27,720 --> 00:02:30,760 Speaker 1: the Internet became a thing anyone could be on and 40 00:02:31,280 --> 00:02:33,920 Speaker 1: September never ended, is kind of the idea, is like 41 00:02:33,960 --> 00:02:35,920 Speaker 1: now that that's when every like the Internet was this 42 00:02:35,960 --> 00:02:39,839 Speaker 1: beautiful utopia for a while, and then eternal September came 43 00:02:39,840 --> 00:02:42,240 Speaker 1: and it's been shipped every internal September. Sounds like a 44 00:02:42,280 --> 00:02:47,760 Speaker 1: pop punk band, Yeah it does. I'm feeling now like 45 00:02:47,840 --> 00:02:51,440 Speaker 1: thinking like yellow Card, but yeah, which is we're still 46 00:02:51,440 --> 00:02:54,880 Speaker 1: in eternal March, like March didn't end last year and 47 00:02:54,919 --> 00:02:57,720 Speaker 1: it hasn't ended yet, and and it's just for forever, 48 00:02:58,080 --> 00:03:00,960 Speaker 1: like all months of the same, all months or this 49 00:03:01,080 --> 00:03:07,760 Speaker 1: like fascinating mix of collapse uh and right wing uh 50 00:03:07,800 --> 00:03:12,520 Speaker 1: anger and government crackdowns on people pushing for justice. All 51 00:03:12,520 --> 00:03:16,280 Speaker 1: these things You're just always happening now constantly, and I 52 00:03:16,280 --> 00:03:23,520 Speaker 1: guess they were before. But whatever it feels, it doesn't 53 00:03:23,520 --> 00:03:26,720 Speaker 1: feel like there's breaks anymore. Like I'm thinking about I 54 00:03:26,720 --> 00:03:29,480 Speaker 1: don't know, we used to have We used to have fun, 55 00:03:30,480 --> 00:03:34,560 Speaker 1: I think in the news, so I remember that, or 56 00:03:34,600 --> 00:03:37,400 Speaker 1: at least we our attitude was a bit more fun. 57 00:03:38,000 --> 00:03:40,160 Speaker 1: We try to have fun, but it's harder, it's harder 58 00:03:40,200 --> 00:03:45,360 Speaker 1: to come by. Yeah, I remember times that were different 59 00:03:45,360 --> 00:03:48,560 Speaker 1: than this. I remember times, and yet I do not 60 00:03:48,880 --> 00:03:53,000 Speaker 1: recognize time as a concept anymore. No, it's a flat circle. 61 00:03:53,280 --> 00:03:56,240 Speaker 1: As the guy on the TV show that has Governor 62 00:03:56,320 --> 00:04:02,560 Speaker 1: of Texas, yeah, God Will like I don't know about 63 00:04:02,560 --> 00:04:05,600 Speaker 1: his politics, but I love that performance. He cannot be 64 00:04:05,720 --> 00:04:08,920 Speaker 1: worse than Greg Abbott. He can't be worse than Greg Abbott. 65 00:04:09,040 --> 00:04:12,760 Speaker 1: And I enjoy hearing him speak. It makes me laugh. 66 00:04:13,120 --> 00:04:17,240 Speaker 1: He tells a sleep story on my calm map. Just 67 00:04:17,440 --> 00:04:22,520 Speaker 1: love it, mostly because I giggle. Hi, I'm Matthew McConaughey, 68 00:04:23,160 --> 00:04:26,719 Speaker 1: all right, and you're like, you're doing it. You're doing 69 00:04:26,720 --> 00:04:29,840 Speaker 1: it to lull me to sleep, Okay, Governor, Wait does 70 00:04:29,880 --> 00:04:35,120 Speaker 1: he actually do that? He does? I'm I'm Matthew McConney. 71 00:04:35,839 --> 00:04:39,520 Speaker 1: When I was working on a movie called Proof. I 72 00:04:39,560 --> 00:04:43,200 Speaker 1: don't know if it was Proof something else like, but 73 00:04:43,320 --> 00:04:50,440 Speaker 1: it's funny. And he goes, the world is our playground, 74 00:04:50,720 --> 00:04:56,080 Speaker 1: you know, like it is for Matthew McConaughey. I bet 75 00:04:56,160 --> 00:04:59,760 Speaker 1: it is a playground from Matthew McConney. Yea, um, but 76 00:05:00,000 --> 00:05:02,960 Speaker 1: he does how tough. But he's running running or it 77 00:05:03,000 --> 00:05:06,160 Speaker 1: hasn't been any no, no, no, no, it's just a 78 00:05:06,279 --> 00:05:08,680 Speaker 1: thing people talk about because and then they asked him 79 00:05:08,720 --> 00:05:12,080 Speaker 1: about it when they talk to him, And I think 80 00:05:12,320 --> 00:05:16,080 Speaker 1: this is us having fun with the news. Like I said, 81 00:05:16,200 --> 00:05:18,160 Speaker 1: I want to see him do all his ads in 82 00:05:18,240 --> 00:05:21,920 Speaker 1: the Lincoln. I hate to say this, but I kind 83 00:05:21,960 --> 00:05:24,480 Speaker 1: of think Texas is so fucked that the only thing 84 00:05:24,520 --> 00:05:27,080 Speaker 1: that might save us is if a person who's famous 85 00:05:27,200 --> 00:05:29,600 Speaker 1: enough to like break out of the kind of right 86 00:05:29,640 --> 00:05:34,320 Speaker 1: wing domination gets elected and just isn't a complete sociopath, 87 00:05:34,320 --> 00:05:36,600 Speaker 1: because I don't think Matthew McConaughey is. I don't think 88 00:05:36,600 --> 00:05:42,240 Speaker 1: Matthew McConaughey is like a literal monster. Um, Greg greg 89 00:05:42,279 --> 00:05:45,680 Speaker 1: Abbott is a monster, and so have been every Texas 90 00:05:45,720 --> 00:05:49,760 Speaker 1: governor since uh and Richards and Richards. That was the yeah, 91 00:05:49,800 --> 00:05:56,000 Speaker 1: she she was Yeah, and then she made some decisions 92 00:05:56,040 --> 00:05:59,120 Speaker 1: on gun control that turned out to not be wise electorally, 93 00:05:59,240 --> 00:06:02,279 Speaker 1: and George W. Bush became the governor. Or at least 94 00:06:02,360 --> 00:06:05,360 Speaker 1: that was how the asshole in my concealed handgun class 95 00:06:05,400 --> 00:06:07,120 Speaker 1: explained it. I don't remember any of that because I 96 00:06:07,160 --> 00:06:10,640 Speaker 1: was living in Oklahoma. I like to picture McConaughey and 97 00:06:10,720 --> 00:06:17,000 Speaker 1: a Lincoln doing the Wolf of Fall Street, yes as 98 00:06:17,040 --> 00:06:20,080 Speaker 1: his only campaign, and then saying he approves to the message, Yeah, 99 00:06:20,120 --> 00:06:22,359 Speaker 1: that's it, and then I want him to go. I 100 00:06:22,400 --> 00:06:26,320 Speaker 1: just think he goes and this message is all right, 101 00:06:26,560 --> 00:06:30,360 Speaker 1: all right, all right, yeah that's it, and then get 102 00:06:30,440 --> 00:06:32,760 Speaker 1: I get older, but the message is the same age, right, 103 00:06:33,000 --> 00:06:36,320 Speaker 1: you can just would be his biggest hits and then 104 00:06:36,320 --> 00:06:42,239 Speaker 1: he knows like Dallas Buyer's Club, you know, or what else. Yeah, 105 00:06:43,600 --> 00:06:46,520 Speaker 1: Republicans would be like, hey, governor, would you please sign 106 00:06:46,600 --> 00:06:50,200 Speaker 1: the execution orders for this mentally handicapped man, and he 107 00:06:50,240 --> 00:06:52,880 Speaker 1: would just crush a lone star on his face and 108 00:06:52,880 --> 00:06:54,880 Speaker 1: they would be like, we'll come back later, and then 109 00:06:54,920 --> 00:06:57,560 Speaker 1: no one would get executed. I think he also does 110 00:06:57,600 --> 00:07:01,560 Speaker 1: the Carls Juniors spots. He's got a a thriving commercial 111 00:07:01,600 --> 00:07:04,640 Speaker 1: career he does. He's better in ads for bourbon because 112 00:07:04,680 --> 00:07:07,919 Speaker 1: like math McConaughey has has, there's a number of different 113 00:07:07,960 --> 00:07:12,200 Speaker 1: kinds of Texas accents. He has a classy accent um 114 00:07:12,240 --> 00:07:17,160 Speaker 1: as opposed to uh what most people in Texas have. UM. 115 00:07:17,200 --> 00:07:19,520 Speaker 1: And he sounds good talking about bourbon, even though he's 116 00:07:19,520 --> 00:07:23,280 Speaker 1: talking about wild turkey, which is his accent goes down smooth, 117 00:07:23,440 --> 00:07:27,800 Speaker 1: It goes down smooth, unlike wild turkey. UM gets some 118 00:07:27,880 --> 00:07:31,200 Speaker 1: eagle rare. Goddamnit. Um. But okay, like we've been talking 119 00:07:31,240 --> 00:07:34,440 Speaker 1: about this for nine minutes, I want you to do 120 00:07:34,520 --> 00:07:44,320 Speaker 1: your imitation again. I thought it was great. Alright, alright, alright, alright, alright, alright, alright, Um, 121 00:07:44,880 --> 00:07:47,080 Speaker 1: have you guys seen the guy? Have you guys seen 122 00:07:47,120 --> 00:07:49,960 Speaker 1: the guy running in California for the recall with the 123 00:07:50,000 --> 00:07:55,360 Speaker 1: bear the beast? That's the worst John John Cox, who's 124 00:07:55,360 --> 00:07:58,600 Speaker 1: the who already ran? He already ran and lost. Oh 125 00:07:58,640 --> 00:08:00,960 Speaker 1: good for him? Well, I I love that for him. 126 00:08:01,120 --> 00:08:05,480 Speaker 1: That is the worst thing and the possibly the best thing. 127 00:08:05,600 --> 00:08:09,560 Speaker 1: I'm pretty sure he's coming under legal action for bringing 128 00:08:09,600 --> 00:08:13,360 Speaker 1: a bear to a campaign, but it's been a fuzzy month, 129 00:08:13,440 --> 00:08:17,120 Speaker 1: so I don't know. Just a real quick disclaimer, I 130 00:08:17,160 --> 00:08:21,200 Speaker 1: guess not quite up top because we're ten minutes deep here, um, 131 00:08:21,840 --> 00:08:25,760 Speaker 1: give or take with editing. I, as you know, have 132 00:08:25,920 --> 00:08:28,920 Speaker 1: been gone for a while and I am back in 133 00:08:29,000 --> 00:08:32,240 Speaker 1: Los Angeles and I've had a hard month and so 134 00:08:32,400 --> 00:08:36,440 Speaker 1: this week I'm not prepared, but we're gonna kind of 135 00:08:36,600 --> 00:08:40,120 Speaker 1: try to catch me up on the news. Yeah, it's 136 00:08:40,160 --> 00:08:43,400 Speaker 1: a it's a hodgepodge to bring Katie up to sit. 137 00:08:44,280 --> 00:08:47,000 Speaker 1: I did nothing to prepare except show up, and that's 138 00:08:47,000 --> 00:08:50,200 Speaker 1: how I like it. Well, speaking of Texas, why don't 139 00:08:50,200 --> 00:08:52,680 Speaker 1: we talk about the voting in Texas? Yeah? Yeah, what 140 00:08:52,720 --> 00:08:54,960 Speaker 1: happened there? Are they allowed to do it? Or no? 141 00:08:56,520 --> 00:09:00,320 Speaker 1: Everyone's still allowed to vote? Cool? Um? Well as you 142 00:09:00,360 --> 00:09:02,760 Speaker 1: do know, for a little while there have been all 143 00:09:02,760 --> 00:09:05,720 Speaker 1: these sort of bills popping up to make it more 144 00:09:05,800 --> 00:09:09,000 Speaker 1: difficult for folks to vote under the guys and being like, 145 00:09:09,000 --> 00:09:12,240 Speaker 1: actually it's it's we're putting fail safe so what happened 146 00:09:12,240 --> 00:09:15,520 Speaker 1: in twenty doesn't happen again as if h you know, 147 00:09:16,720 --> 00:09:20,360 Speaker 1: and well insinuating that the entire election was a fraud 148 00:09:20,400 --> 00:09:24,120 Speaker 1: and Donald Trump is actually the one that was elected. Um. 149 00:09:24,160 --> 00:09:27,360 Speaker 1: It's interesting how they're sort of intertwined, Like the January 150 00:09:27,480 --> 00:09:30,839 Speaker 1: six is sort of just uh, like a symptom. It's 151 00:09:30,840 --> 00:09:33,120 Speaker 1: like like it gave them a pass to be like, see, 152 00:09:33,320 --> 00:09:35,560 Speaker 1: we need to protect our election, but in a way 153 00:09:35,600 --> 00:09:38,440 Speaker 1: that um insinuates that it was a complete fraud and 154 00:09:38,520 --> 00:09:42,400 Speaker 1: Joe Biden isn't actually the president. Um. And so there 155 00:09:42,520 --> 00:09:46,800 Speaker 1: was a indeed another bill that Texas uh tried to 156 00:09:46,880 --> 00:09:50,160 Speaker 1: pass UM that various things in it. UM it gave 157 00:09:51,000 --> 00:09:58,160 Speaker 1: gave penalties like jail time uh for sending people um 158 00:09:58,520 --> 00:10:02,680 Speaker 1: mail in ballots they did not request them, who would 159 00:10:02,720 --> 00:10:07,200 Speaker 1: get penalized jail timed the people who sent them, okay, 160 00:10:07,360 --> 00:10:10,040 Speaker 1: which is like again it's like this sort of weird 161 00:10:10,120 --> 00:10:12,920 Speaker 1: it's it's it's framed as like, well, you don't want 162 00:10:12,920 --> 00:10:16,319 Speaker 1: people doing this, it'll it'll do frauds and stuff. Um, 163 00:10:16,360 --> 00:10:18,480 Speaker 1: instead of like, if you really want to make it, 164 00:10:18,600 --> 00:10:22,920 Speaker 1: you know, access to voting, uh uh open up for people. 165 00:10:23,480 --> 00:10:27,120 Speaker 1: Just send mail and voting to everybody. Um, instead of like, well, 166 00:10:27,160 --> 00:10:28,800 Speaker 1: if you request it, then you get it. Then if 167 00:10:28,840 --> 00:10:31,080 Speaker 1: you don't, then you're going to jail. We'll no, just 168 00:10:31,120 --> 00:10:34,839 Speaker 1: give it to everybody. UM, make give everybody the all 169 00:10:34,880 --> 00:10:40,319 Speaker 1: these options. UM. It's pretty frustrating. A situation is pretty frustrating. 170 00:10:40,360 --> 00:10:42,560 Speaker 1: I think I've mentioned this on a show over the 171 00:10:42,600 --> 00:10:47,120 Speaker 1: past month, but it's a real big deal. How many 172 00:10:47,200 --> 00:10:51,640 Speaker 1: people I truly believe that, uh there was widespread voter 173 00:10:51,760 --> 00:10:55,840 Speaker 1: fraud in the election, and the amount of money being 174 00:10:55,880 --> 00:11:01,520 Speaker 1: wasted on recounting it over and over and over again. 175 00:11:01,559 --> 00:11:05,840 Speaker 1: The belief is very pervasive that dead people voted. Yes, yes, 176 00:11:06,520 --> 00:11:10,480 Speaker 1: voted And you know, I pushed back and say, well, 177 00:11:11,000 --> 00:11:13,080 Speaker 1: you know, it just means in Arizona, it's like and 178 00:11:13,160 --> 00:11:17,880 Speaker 1: wonderful reasonable people, you know, smart people. But they're like, no, actually, 179 00:11:17,920 --> 00:11:19,880 Speaker 1: this is a true thing that has to get a problem. 180 00:11:20,160 --> 00:11:23,760 Speaker 1: There's a problem, and if you and if if there's 181 00:11:23,800 --> 00:11:27,000 Speaker 1: nothing wrong, then what's the problem with looking into it? 182 00:11:27,240 --> 00:11:29,880 Speaker 1: And I gently say, well, I think it's the expense 183 00:11:30,040 --> 00:11:32,520 Speaker 1: at this point. Well, if you do look into it, 184 00:11:32,559 --> 00:11:35,240 Speaker 1: you'll see that like countless cases were thrown out because 185 00:11:35,240 --> 00:11:38,920 Speaker 1: there was no evidence of fraud. Um and like this 186 00:11:39,000 --> 00:11:43,120 Speaker 1: bill um would have and it still might pass. Who knows. Um. Yeah, 187 00:11:43,160 --> 00:11:49,120 Speaker 1: I mean yes, they're but they're a part of it 188 00:11:49,280 --> 00:11:54,880 Speaker 1: is that you don't actually have to prove that there 189 00:11:55,040 --> 00:11:58,080 Speaker 1: was uh any like you don't have to confirm any 190 00:11:58,120 --> 00:12:02,240 Speaker 1: evidence of actual election fraud in in this in this case. Um. 191 00:12:02,280 --> 00:12:06,120 Speaker 1: It also banned drive through voting things of that nature. Sorry, 192 00:12:06,200 --> 00:12:08,079 Speaker 1: drive through voting. I haven't heard of that, but I'm 193 00:12:08,120 --> 00:12:10,679 Speaker 1: into it. I went through a drive through liquor store 194 00:12:11,040 --> 00:12:15,160 Speaker 1: in Arizona. I've never seen one before, but really, oh 195 00:12:15,240 --> 00:12:19,480 Speaker 1: yeah we had them. Yeah, we have those in Texas too. Yeah. Yeah, 196 00:12:19,520 --> 00:12:22,480 Speaker 1: they're not as good as California liquor stores, which are 197 00:12:22,679 --> 00:12:26,080 Speaker 1: literally any store you happen to be in there can 198 00:12:26,120 --> 00:12:29,160 Speaker 1: go in anywhere. It's amazing. Um. Yeah. The other thing 199 00:12:29,160 --> 00:12:33,360 Speaker 1: they're trying to do is stop banned voting on Sundays, 200 00:12:33,480 --> 00:12:36,800 Speaker 1: uh in, which is when a lot of a lot 201 00:12:36,840 --> 00:12:39,800 Speaker 1: of black churches will do like voting drives and stuff. 202 00:12:42,559 --> 00:12:45,079 Speaker 1: Maybe you should be able to vote on a day. 203 00:12:45,200 --> 00:12:50,760 Speaker 1: Um that isn't like most people work on that day. Yeah, 204 00:12:50,880 --> 00:12:53,360 Speaker 1: or make it a holiday, or make it a holiday. 205 00:12:53,400 --> 00:12:57,480 Speaker 1: But the goal is very clearly to stop voting. Yeah, 206 00:12:57,520 --> 00:13:00,240 Speaker 1: it's very you aren't white in Republican It's very clear. 207 00:13:00,240 --> 00:13:03,400 Speaker 1: It is very frustrating folks like like a Dan Crunshaw 208 00:13:03,480 --> 00:13:07,679 Speaker 1: type um, who outwardly seems very reasonable when he speaks, 209 00:13:07,760 --> 00:13:09,800 Speaker 1: but he's just a liar. He lies a lot. It's 210 00:13:09,840 --> 00:13:14,360 Speaker 1: very frustrating. Yea. Um, but you know, like they're trying. 211 00:13:14,400 --> 00:13:16,320 Speaker 1: They don't have noticed. They won't tell you what's in 212 00:13:16,360 --> 00:13:19,000 Speaker 1: the bill. And he won't either, what's in the bill? Dan, 213 00:13:19,240 --> 00:13:22,360 Speaker 1: tell us what's in the bill? Um? And yeah, it's 214 00:13:22,440 --> 00:13:26,280 Speaker 1: very transparent what they're trying to do. Um. You know 215 00:13:26,679 --> 00:13:30,839 Speaker 1: uh limits, Yeah, availability to vote for a lot of people, um, 216 00:13:30,960 --> 00:13:35,440 Speaker 1: low income areas, handicapped people, a lot of just uh, 217 00:13:35,880 --> 00:13:38,480 Speaker 1: very clear. They tried to pass it. Um. The Democrats 218 00:13:38,600 --> 00:13:43,480 Speaker 1: walked out um uh during the vote. Um, which good 219 00:13:43,520 --> 00:13:45,439 Speaker 1: for them. They did a thing, They did a thing 220 00:13:45,480 --> 00:13:47,640 Speaker 1: that they can do. They did a thing that like 221 00:13:47,679 --> 00:13:53,840 Speaker 1: Republicans might do been doing in Oregon for yes, yeah, 222 00:13:53,880 --> 00:13:56,199 Speaker 1: and then they've done before in Texas. I should note 223 00:13:56,200 --> 00:13:59,440 Speaker 1: they fled to Oklahoma years back for another vote, so's 224 00:13:59,520 --> 00:14:02,800 Speaker 1: this is not the only time Texas Democrats have done 225 00:14:02,840 --> 00:14:05,000 Speaker 1: something like this. Yeah. Um they're the lone star, the 226 00:14:05,040 --> 00:14:09,760 Speaker 1: lone star Democrats. Um, all right, all right, So they 227 00:14:09,800 --> 00:14:12,440 Speaker 1: walked they walked out. Um, so there wasn't there weren't 228 00:14:12,480 --> 00:14:15,040 Speaker 1: enough members to reach a quorum, and so they couldn't 229 00:14:15,160 --> 00:14:19,320 Speaker 1: pass it. Um, which again very cool. Um. They will 230 00:14:19,360 --> 00:14:22,920 Speaker 1: still probably pass it, of course, it'll still happen, but 231 00:14:22,960 --> 00:14:25,200 Speaker 1: it's just a you know, it was at least nice 232 00:14:25,200 --> 00:14:27,360 Speaker 1: to see a move, a move being played, even though 233 00:14:27,520 --> 00:14:31,400 Speaker 1: make it harder for the fucker's um, just make it 234 00:14:31,440 --> 00:14:36,360 Speaker 1: harder for them, yeah, um, make it harder for them. Yeah, 235 00:14:36,480 --> 00:14:42,480 Speaker 1: because I really do respect um standing up and it's 236 00:14:42,520 --> 00:14:44,760 Speaker 1: one thing for Democrats and other states well but well, 237 00:14:44,840 --> 00:14:47,720 Speaker 1: but in a state like that and other conservative areas, 238 00:14:48,520 --> 00:14:50,120 Speaker 1: you gotta kind of put on a little bit of 239 00:14:50,120 --> 00:14:51,840 Speaker 1: a show and make a stink about it, even if 240 00:14:51,840 --> 00:14:56,560 Speaker 1: it's not gonna, um move the needle in the end. Yeah, 241 00:14:56,640 --> 00:15:02,640 Speaker 1: show that, Yeah, show that you're doing literally anything. It's nice, um, 242 00:15:02,760 --> 00:15:05,000 Speaker 1: And you know that's a signal for everybody else in 243 00:15:05,000 --> 00:15:09,760 Speaker 1: the state that doesn't necessarily agree with the conservative side. Uh. 244 00:15:09,840 --> 00:15:11,920 Speaker 1: I just keep relating things back to Arizona because that's 245 00:15:11,920 --> 00:15:15,600 Speaker 1: the only thing I have experienced. For it. Every week 246 00:15:15,680 --> 00:15:18,560 Speaker 1: on a corner and downtown Flagstaff there was a small 247 00:15:18,600 --> 00:15:23,240 Speaker 1: but mighty group of people protesting another move something voting 248 00:15:23,360 --> 00:15:27,720 Speaker 1: rates Christmas cinema, a filibuster, you know, and they were 249 00:15:27,720 --> 00:15:30,000 Speaker 1: just out there with their signs, like fifteen to twenty 250 00:15:30,040 --> 00:15:34,320 Speaker 1: people and it's crickets from around except for every time 251 00:15:34,360 --> 00:15:37,280 Speaker 1: I drove by, just laid on my horn because I 252 00:15:37,320 --> 00:15:40,520 Speaker 1: feel like this is important here, and it is. It 253 00:15:40,720 --> 00:15:45,040 Speaker 1: is important because that's slowly changes things. Anyway, Again here 254 00:15:45,080 --> 00:15:47,520 Speaker 1: I am not having read the news, relating it back 255 00:15:47,560 --> 00:15:51,000 Speaker 1: to my limited experiences of the past month. That's how 256 00:15:51,000 --> 00:15:54,960 Speaker 1: it's gonna be. That's that's the hodgepodge. That's the podge 257 00:15:54,960 --> 00:16:00,520 Speaker 1: of the hodge. Yeah, I don't know. I'm feeling um 258 00:16:00,760 --> 00:16:04,160 Speaker 1: uh bleaker about the hope for change that I have 259 00:16:04,280 --> 00:16:06,160 Speaker 1: for a while. And I guess because we're kind of 260 00:16:06,240 --> 00:16:09,800 Speaker 1: we're going through you know, last year we had the 261 00:16:09,800 --> 00:16:14,040 Speaker 1: big uprising, and now that Biden's in charge, we're watching 262 00:16:15,400 --> 00:16:19,160 Speaker 1: him kind of his his administration and the FEDS under 263 00:16:19,240 --> 00:16:24,080 Speaker 1: him slowly and kind of methodically, uh take it apart 264 00:16:24,480 --> 00:16:28,040 Speaker 1: um and penalize people. They've just started doing, you know, 265 00:16:28,640 --> 00:16:32,040 Speaker 1: some nasty federal arrests of people in uh in Portland, 266 00:16:32,320 --> 00:16:35,440 Speaker 1: of of activists, and like today, while people were waiting 267 00:16:35,440 --> 00:16:36,760 Speaker 1: for those folks to get out of the jail, the 268 00:16:36,800 --> 00:16:39,240 Speaker 1: cops just went and rated both jailed support in a 269 00:16:39,240 --> 00:16:43,120 Speaker 1: nearby homeless encampment. It's just all yeah, it's and it's this, 270 00:16:43,400 --> 00:16:46,240 Speaker 1: you know, Biden's going to continue to give them more money. 271 00:16:46,280 --> 00:16:50,680 Speaker 1: These things that everyone recognized, these agencies that were problematic, 272 00:16:51,440 --> 00:16:54,040 Speaker 1: um and had too much power, and everyone kind of 273 00:16:54,080 --> 00:16:55,760 Speaker 1: was able to see it when Trump was in office. 274 00:16:55,800 --> 00:16:58,040 Speaker 1: Now that Biden's in office, they're just going to be 275 00:16:58,080 --> 00:17:02,160 Speaker 1: given more money. Oh for sure. I mean, I mean 276 00:17:02,200 --> 00:17:04,879 Speaker 1: that's what he promise was when this was happening and 277 00:17:04,920 --> 00:17:08,320 Speaker 1: he was still running. Yeah, I mean that's what happened 278 00:17:08,320 --> 00:17:12,040 Speaker 1: with the Capitol Police. Yeah, it's and you see a 279 00:17:12,040 --> 00:17:15,280 Speaker 1: lot of that. Um there's like a bit of an 280 00:17:15,320 --> 00:17:19,920 Speaker 1: uptick in crime over the last year. Um, I wonder why, 281 00:17:20,080 --> 00:17:24,400 Speaker 1: and um it's being framed as this like big sort 282 00:17:24,440 --> 00:17:26,960 Speaker 1: of like oh my god. With the crime is up. 283 00:17:27,160 --> 00:17:29,680 Speaker 1: See defunding the police didn't work as if like that 284 00:17:29,920 --> 00:17:32,679 Speaker 1: as if we've done that, um, And but it's not 285 00:17:32,760 --> 00:17:37,560 Speaker 1: just crime, it's like murder rates, finlent crime, Yeah happened 286 00:17:37,720 --> 00:17:40,879 Speaker 1: as well. It's increased just as much, if not more, 287 00:17:40,920 --> 00:17:44,360 Speaker 1: in areas that increased police funding exactly, which was more 288 00:17:44,400 --> 00:17:46,600 Speaker 1: common than cutting it last year. But it's just a 289 00:17:46,640 --> 00:17:50,320 Speaker 1: really quick way to point to now is not the 290 00:17:50,359 --> 00:17:54,680 Speaker 1: time to be having these conversations. But it's backwards and 291 00:17:54,720 --> 00:17:58,040 Speaker 1: there's a huge there's a huge dip in uh like 292 00:17:58,440 --> 00:18:01,000 Speaker 1: towards the end of the nineties, um, because there was 293 00:18:01,040 --> 00:18:04,320 Speaker 1: a huge like crime was like very very very very 294 00:18:04,400 --> 00:18:07,480 Speaker 1: high in the nineties. Yeah, and there's a huge dip 295 00:18:08,160 --> 00:18:13,040 Speaker 1: um and this little uptick that we're seeing is being 296 00:18:13,040 --> 00:18:17,040 Speaker 1: framed as this uh like terrible is terrible, like scary 297 00:18:17,040 --> 00:18:20,400 Speaker 1: scary thing. If you go back twenty years instead of ten, 298 00:18:20,600 --> 00:18:24,480 Speaker 1: it's not so bad. And yeah, so you can just 299 00:18:24,560 --> 00:18:26,680 Speaker 1: see like, Okay, this didn't work. This in the work, 300 00:18:26,720 --> 00:18:29,160 Speaker 1: so we need to like give them more money and 301 00:18:29,600 --> 00:18:33,880 Speaker 1: we're gonna do better training. That'll do it. As if 302 00:18:34,080 --> 00:18:37,160 Speaker 1: you don't see as if the case we'll talk about 303 00:18:37,320 --> 00:18:40,399 Speaker 1: later today where they say no, they did their training 304 00:18:40,400 --> 00:18:43,359 Speaker 1: and it was good. It was good, and actually, spoilers, 305 00:18:43,359 --> 00:18:47,640 Speaker 1: it was bad. The training was back. Um, I guess 306 00:18:47,680 --> 00:18:49,960 Speaker 1: we'll talk about I mean I can there's this might 307 00:18:49,960 --> 00:18:51,439 Speaker 1: be the case you were talking about, but it was 308 00:18:51,480 --> 00:18:56,880 Speaker 1: the cop in Minneapolis who shot the guy. She had 309 00:18:56,960 --> 00:18:59,960 Speaker 1: just received additional training on how to use her taser 310 00:19:00,119 --> 00:19:04,080 Speaker 1: like weeks before. She was really yeah I remember, I 311 00:19:04,160 --> 00:19:06,639 Speaker 1: remember that case. But she was the head of the 312 00:19:06,760 --> 00:19:09,320 Speaker 1: union and like a twenties year veteran and stuff like. 313 00:19:09,840 --> 00:19:14,439 Speaker 1: This is the most now, it's not the most recently. 314 00:19:14,880 --> 00:19:18,040 Speaker 1: It happened a month or two ago. Yeah, Wow, she 315 00:19:18,119 --> 00:19:20,560 Speaker 1: had just received training. Yeah, it was like four or 316 00:19:20,560 --> 00:19:23,239 Speaker 1: five weeks before. She had just gotten more training and 317 00:19:23,240 --> 00:19:26,920 Speaker 1: how to fucking taste people. And she's still accidentally pulled 318 00:19:26,920 --> 00:19:29,280 Speaker 1: a gun and killed somebody. The job did it because 319 00:19:29,280 --> 00:19:31,440 Speaker 1: the training isn't the problem. The problem is that it's 320 00:19:31,480 --> 00:19:34,240 Speaker 1: a job that rewards you for being a violent psychopath. 321 00:19:34,320 --> 00:19:38,000 Speaker 1: So violent psychopaths love to do it, and the training 322 00:19:38,080 --> 00:19:40,119 Speaker 1: just gives them excuses to say, well, I was just 323 00:19:40,200 --> 00:19:42,720 Speaker 1: doing what I was trained to do when they murder people. 324 00:19:43,440 --> 00:19:48,080 Speaker 1: Um hm, anyway, I don't. I mean, yeah, this that 325 00:19:48,200 --> 00:19:49,960 Speaker 1: wasn't what I was talking about. But it's a good 326 00:19:50,000 --> 00:19:54,920 Speaker 1: example of it, and multiple examples. Another good example of 327 00:19:55,000 --> 00:19:58,159 Speaker 1: why it's a problem that I wasn't thinking of the 328 00:19:58,240 --> 00:20:05,760 Speaker 1: same thing. Yeah, happened into Coma, Washington. Yeah. Manuel Ellis 329 00:20:06,119 --> 00:20:10,000 Speaker 1: was killed by police on March three, and the officers 330 00:20:10,000 --> 00:20:13,879 Speaker 1: have been charged. The three officers officers involved. So that's 331 00:20:13,920 --> 00:20:17,640 Speaker 1: a thing. See how that turns out. Um, But it's 332 00:20:17,720 --> 00:20:22,280 Speaker 1: very I'm I'm hoping there's more helping. There's more video 333 00:20:22,480 --> 00:20:27,000 Speaker 1: of it, because according to witnesses and like other there 334 00:20:27,040 --> 00:20:31,440 Speaker 1: are various videos involved a doorbell, camera and bystanders and things. 335 00:20:31,920 --> 00:20:33,680 Speaker 1: Before reading this, I just want to say, this is 336 00:20:34,280 --> 00:20:37,479 Speaker 1: a pretty upsetting graphic description of the events. So if 337 00:20:37,480 --> 00:20:41,280 Speaker 1: you're sensitive to that, skip a minute or so ahead. 338 00:20:41,359 --> 00:20:46,000 Speaker 1: But he was having allegedly a polite, a calm conversation 339 00:20:46,160 --> 00:20:48,680 Speaker 1: with cops. He was at a seven eleven and went 340 00:20:48,720 --> 00:20:51,800 Speaker 1: up to their car and it seemed fine. Uh. He 341 00:20:51,880 --> 00:20:56,000 Speaker 1: walked away, and then the cops opened the door and 342 00:20:56,080 --> 00:21:00,080 Speaker 1: just started just taking him down. According to witnesses, his 343 00:21:00,119 --> 00:21:02,880 Speaker 1: officer Burbank swung open the passenger door, hitting Mr. Ellis 344 00:21:02,880 --> 00:21:05,480 Speaker 1: from behind and knocking him to his knees. Officer Burbank 345 00:21:05,560 --> 00:21:07,920 Speaker 1: then got on top of Mr Ellis. Prosecutors said, by 346 00:21:07,960 --> 00:21:10,800 Speaker 1: standard videos, a doorbell camera with audio and video and 347 00:21:10,800 --> 00:21:14,679 Speaker 1: dispatch radio traffic captured what happened. Next, Officer Burbank wrapped 348 00:21:14,680 --> 00:21:16,800 Speaker 1: his arms around Mr Ellis, lifted him into the air, 349 00:21:16,880 --> 00:21:19,080 Speaker 1: and drove him down onto the pavement, hitting him with 350 00:21:19,119 --> 00:21:23,280 Speaker 1: one of his fists. Prosecutors say. Officer Collins then moved 351 00:21:23,320 --> 00:21:25,440 Speaker 1: toward Mr Ellis and brought his weight down on him. 352 00:21:25,720 --> 00:21:28,240 Speaker 1: With Mr Ellis underneath him, Officer Collins, at two and 353 00:21:28,359 --> 00:21:31,040 Speaker 1: fifteen pounds, SWAT team member and Army veteran trained in 354 00:21:31,040 --> 00:21:34,520 Speaker 1: martial arts, began hitting Mr Ellis's head with his fists. 355 00:21:34,920 --> 00:21:39,520 Speaker 1: Officers officers Colin can excuse me sorry, slowing down. Officer 356 00:21:39,560 --> 00:21:41,919 Speaker 1: Collins can be seen on one video hitting Mr Ellis's 357 00:21:41,960 --> 00:21:45,520 Speaker 1: head four times as Mr Ellis screamed hey stop. One 358 00:21:45,560 --> 00:21:48,760 Speaker 1: bystanders screamed, oh my God, stop hitting him, Stop hitting him, 359 00:21:48,760 --> 00:21:51,920 Speaker 1: just arrest him. Officer Collins then wrapped his arm around 360 00:21:51,960 --> 00:21:53,920 Speaker 1: the front of Mr Ellis's neck and locked his hands 361 00:21:53,960 --> 00:21:58,120 Speaker 1: together while squeezing, applying a lateral vascularttle neck restraint. Mr 362 00:21:58,160 --> 00:22:00,520 Speaker 1: Ellis was not fighting back, prosecutors said. Three witness has 363 00:22:00,520 --> 00:22:02,879 Speaker 1: said they never saw Mr Ellis hit the officers. He 364 00:22:02,960 --> 00:22:07,600 Speaker 1: wasn't even defending himself. One said, um Officer Burbank fired 365 00:22:07,600 --> 00:22:10,840 Speaker 1: a taser Mr. Ellis as Officer Collins continue to squeeze 366 00:22:10,840 --> 00:22:13,800 Speaker 1: his neck. Hey, y'all in the wrong right now. Another 367 00:22:13,840 --> 00:22:16,880 Speaker 1: witness said, after Mr Ellis was jolted for five seconds, 368 00:22:16,880 --> 00:22:19,159 Speaker 1: Officer Collins released his grip on Mr. Ellis's neck and 369 00:22:19,240 --> 00:22:22,679 Speaker 1: Mr Ellis's head fell limply toward the pavement. Officer Collins 370 00:22:22,720 --> 00:22:25,240 Speaker 1: then pushed his arm onto the back of Mr Ellis's 371 00:22:25,240 --> 00:22:28,280 Speaker 1: head or neck, pressing his face into the pavement. As 372 00:22:28,400 --> 00:22:31,160 Speaker 1: Mr Ellis began to scream and wride, the officers held 373 00:22:31,200 --> 00:22:35,000 Speaker 1: his arms back behind his back, held his arms behind 374 00:22:35,000 --> 00:22:37,840 Speaker 1: his back, and pressed down on his body. According to 375 00:22:37,840 --> 00:22:40,960 Speaker 1: a recording captured by a Vivint doorbell camera on a 376 00:22:40,960 --> 00:22:44,320 Speaker 1: house across the street, Mr Ellis said clearly can't breathe, sir, 377 00:22:44,560 --> 00:22:48,080 Speaker 1: can't breathe. Less than fifteen seconds later, he can again 378 00:22:48,119 --> 00:22:50,440 Speaker 1: be heard pleading with the officers, saying either breathe, sir, 379 00:22:50,640 --> 00:22:54,800 Speaker 1: or please sir. Officer Rankin later recalled. According to prosecutors, 380 00:22:54,800 --> 00:22:57,159 Speaker 1: hearing Mr Ellis say in a very calm, normal voice 381 00:22:57,400 --> 00:22:59,800 Speaker 1: that he could not breathe, and responding that if you're 382 00:22:59,800 --> 00:23:03,280 Speaker 1: talking to me, you can breathe just fine. Have heard 383 00:23:03,320 --> 00:23:06,280 Speaker 1: that many times before. An officer put up spithood on Mr. 384 00:23:06,280 --> 00:23:08,600 Speaker 1: Ellis's head while he was hog tied on his stomach 385 00:23:08,840 --> 00:23:11,879 Speaker 1: and while Officer Rankin was applying pressure to his back. 386 00:23:13,240 --> 00:23:17,040 Speaker 1: The brand of spithood includes instructions that a specifically state 387 00:23:17,119 --> 00:23:20,000 Speaker 1: that it should not be used on anyone having difficulty breathing. 388 00:23:20,720 --> 00:23:24,240 Speaker 1: Prosecutors said Mr Ellis remained under Officer rank In hog 389 00:23:24,240 --> 00:23:26,840 Speaker 1: time and face down for six to nine minutes until 390 00:23:26,880 --> 00:23:30,240 Speaker 1: the fire department arrived. Mr Ellis's last known words were 391 00:23:30,280 --> 00:23:33,480 Speaker 1: the same ones he had repeated throughout the attack, can't breathe. 392 00:23:33,960 --> 00:23:38,600 Speaker 1: He's declared dead scene. UM So that's the description of 393 00:23:38,600 --> 00:23:43,800 Speaker 1: what happened from prosecutors and various witnesses and um video. 394 00:23:44,320 --> 00:23:49,080 Speaker 1: And I'm gonna follow this up by reading this statement 395 00:23:49,119 --> 00:23:53,240 Speaker 1: from the police union, the Coma Police Union, we are 396 00:23:53,280 --> 00:23:56,320 Speaker 1: disappointed that facts were ignored in favor of what appears 397 00:23:56,359 --> 00:23:59,320 Speaker 1: to be a politically motivated witch hunt. We look forward 398 00:23:59,359 --> 00:24:02,360 Speaker 1: to try an unbiased jury will find that the officers 399 00:24:02,400 --> 00:24:05,199 Speaker 1: broke no laws and in fact acted in accordance with 400 00:24:05,240 --> 00:24:08,760 Speaker 1: the law, their training, and Tacoma Police Department policies. An 401 00:24:08,840 --> 00:24:11,560 Speaker 1: unbiased jury will not allow these fine public servants to 402 00:24:11,600 --> 00:24:15,919 Speaker 1: be sacrificed at the altar of public sentiment. Um. So, 403 00:24:16,000 --> 00:24:18,199 Speaker 1: classic statement from a police union. Maybe if that is 404 00:24:18,200 --> 00:24:23,560 Speaker 1: the training, it's bad training. Maybe it's bad um um 405 00:24:23,640 --> 00:24:28,520 Speaker 1: yeah so um, I don't know if that's send the news, Katie. 406 00:24:28,520 --> 00:24:34,359 Speaker 1: Welcome back, Welcome back, Katie, Welcome back Katie. A Sitcomcome 407 00:24:35,080 --> 00:24:41,360 Speaker 1: Nick at Night, Three friends sit down and read graphic 408 00:24:41,440 --> 00:24:44,600 Speaker 1: reports of police murders. I gotta say I did feel 409 00:24:44,600 --> 00:24:46,960 Speaker 1: a little bit. I could feel my chest constricting, and 410 00:24:47,720 --> 00:24:52,240 Speaker 1: by like, Okay, this is ventured into the dark territory again. Yeah, 411 00:24:52,280 --> 00:24:55,520 Speaker 1: I'm sorry. Again the news. That's what we do here. 412 00:24:55,840 --> 00:24:59,440 Speaker 1: But first we're going to take a little break. Yeah, 413 00:25:00,080 --> 00:25:03,840 Speaker 1: be good. Became a product or three to clear your 414 00:25:03,840 --> 00:25:18,879 Speaker 1: soul together everything we're back. Oh my god, you know 415 00:25:19,280 --> 00:25:24,199 Speaker 1: I was feeling pretty black pilled before those ads. Um. 416 00:25:24,240 --> 00:25:27,720 Speaker 1: Sometimes all we need in a horrible world is to 417 00:25:27,720 --> 00:25:31,960 Speaker 1: be reminded that products and services exist. Now, which one 418 00:25:32,040 --> 00:25:36,840 Speaker 1: is so? Red pill? Black pill? Are they? One is one? 419 00:25:36,880 --> 00:25:40,680 Speaker 1: An antitote to the other just when you realize there's 420 00:25:40,760 --> 00:25:44,240 Speaker 1: there's no hope. Um, oh, that's the hospice pill. Yeah, 421 00:25:44,280 --> 00:25:48,480 Speaker 1: that's the hospital. That's like emotional hospice. Dark jokes like that. 422 00:25:48,560 --> 00:25:52,280 Speaker 1: But it's my mental state. It's how you deal with it. 423 00:25:52,320 --> 00:25:59,400 Speaker 1: Bring it back cool. What else do we've got? Um, 424 00:25:59,520 --> 00:26:02,119 Speaker 1: I don't know. Katie H. Cody and I got to 425 00:26:02,160 --> 00:26:05,160 Speaker 1: talk about aliens for a while. I know I haven't 426 00:26:05,520 --> 00:26:07,760 Speaker 1: enjoy that yet. I should have listened to it on 427 00:26:07,800 --> 00:26:11,960 Speaker 1: my drive home. I've never listened to a podcast I 428 00:26:12,000 --> 00:26:16,600 Speaker 1: wanted to. I was actually pretty jealous, I rightfully about 429 00:26:16,640 --> 00:26:19,360 Speaker 1: out last week whenever it was. And then I found 430 00:26:19,400 --> 00:26:21,000 Speaker 1: out you were talking about aliens, and I was like, 431 00:26:21,720 --> 00:26:26,160 Speaker 1: damn it, you're going to say about aliens? What's your ALIENA? 432 00:26:26,359 --> 00:26:32,640 Speaker 1: Are you? I'm very pro aliens? Really, Okay, okay Trader? 433 00:26:33,400 --> 00:26:43,000 Speaker 1: Yeah one take me away, take me away from here alien? Yeah. Um, 434 00:26:43,040 --> 00:26:47,479 Speaker 1: I'm just very curious. And I saw peripherally some story 435 00:26:47,560 --> 00:26:50,320 Speaker 1: online that I didn't have the bandwidth to dig into 436 00:26:50,440 --> 00:26:54,800 Speaker 1: about you know, people Navy or Air Force whomever saying like, yeah, 437 00:26:54,840 --> 00:26:57,919 Speaker 1: we've been seeing all these signings for years, like and 438 00:26:57,960 --> 00:27:01,800 Speaker 1: I was like what is this, Um, would you guys 439 00:27:01,880 --> 00:27:06,960 Speaker 1: come up with Are they there? Um? Yes, but not maybe, 440 00:27:07,440 --> 00:27:10,679 Speaker 1: but what people are talking about now is nonsense probably, 441 00:27:11,320 --> 00:27:16,040 Speaker 1: so yeah, yeah, they're out there. They're under there, under 442 00:27:16,040 --> 00:27:19,040 Speaker 1: the in the oceans of You're open for us to discover. 443 00:27:19,240 --> 00:27:23,639 Speaker 1: Listen to um, Hitchhiker's Guide to the Galaxy on audiobook 444 00:27:23,720 --> 00:27:26,640 Speaker 1: on the way out and back it that's a good 445 00:27:26,680 --> 00:27:30,879 Speaker 1: thing to listen to while thinking about death. Sure, yeah, 446 00:27:31,160 --> 00:27:33,840 Speaker 1: pretty pretty good. I mean there's lots of things I'm like, well, 447 00:27:33,880 --> 00:27:37,239 Speaker 1: this is very clearly written by a white man with 448 00:27:37,280 --> 00:27:39,680 Speaker 1: a certain ideology of the world. There's not a lot 449 00:27:39,720 --> 00:27:43,199 Speaker 1: of the jokes are fun. But you're like, there may 450 00:27:43,200 --> 00:27:45,919 Speaker 1: be more surfaces than I remember it being a you know, 451 00:27:46,320 --> 00:27:50,160 Speaker 1: I kind of remember it being a bit more more, 452 00:27:50,200 --> 00:27:52,760 Speaker 1: a little more biting, a little more. Yeah, but it 453 00:27:52,840 --> 00:27:56,560 Speaker 1: was later in this series, like Restaurant at the End 454 00:27:56,560 --> 00:27:58,320 Speaker 1: of the Universe is probably the best I need to 455 00:27:58,359 --> 00:28:00,840 Speaker 1: go to the next one. Yeah, Um, but I did 456 00:28:00,880 --> 00:28:04,760 Speaker 1: love uh that there's a character vit vooda judge or something, 457 00:28:05,359 --> 00:28:10,120 Speaker 1: and he's like a little dorky guy that I laughed. 458 00:28:10,760 --> 00:28:14,800 Speaker 1: Douglas Adams desperately tried to warn us like it was 459 00:28:14,960 --> 00:28:18,920 Speaker 1: right there. I mean, he talks about this a lot. 460 00:28:18,960 --> 00:28:21,000 Speaker 1: How once he was backpacking and looked up at the 461 00:28:21,040 --> 00:28:25,320 Speaker 1: stars and then had a series of seizures and visions 462 00:28:25,400 --> 00:28:28,879 Speaker 1: of a rat faced man running transportation and there was 463 00:28:29,359 --> 00:28:32,840 Speaker 1: and that's how came in. And that's exactly right, that's 464 00:28:32,840 --> 00:28:37,560 Speaker 1: exactly right he tried to warn us. So you guys 465 00:28:37,560 --> 00:28:39,360 Speaker 1: don't have to catch me up on your alien episode, 466 00:28:39,360 --> 00:28:41,160 Speaker 1: but I will go back and listen to it this week. 467 00:28:41,960 --> 00:28:43,560 Speaker 1: You know who else tried to warn us about? Pete 468 00:28:43,560 --> 00:28:46,480 Speaker 1: Bouddha Jedge. I believe it was the Book of Ezekiel. 469 00:28:47,120 --> 00:28:52,360 Speaker 1: Uh when when when he wrote, uh, that thing about 470 00:28:52,440 --> 00:28:55,440 Speaker 1: four horsemen coming in and and and and Hell riding 471 00:28:55,480 --> 00:28:57,840 Speaker 1: with them? You know from Tombstone. It's in Tombstone to 472 00:28:58,160 --> 00:29:01,640 Speaker 1: that part that that's about Pete Buddha judge to Hell 473 00:29:01,800 --> 00:29:07,120 Speaker 1: rides with him was about a guy, this, this guy 474 00:29:07,200 --> 00:29:10,560 Speaker 1: that uh obsessed with knowing where all the ballpoint pens go. 475 00:29:12,200 --> 00:29:17,880 Speaker 1: That's that sounds like our rat boy? Who else put 476 00:29:17,960 --> 00:29:22,680 Speaker 1: rat boy? Oh? Man? You know what I was doing 477 00:29:22,760 --> 00:29:26,040 Speaker 1: recently to try to deal with everything, I just started 478 00:29:26,040 --> 00:29:29,560 Speaker 1: like watching old YouTube videos of what was his name 479 00:29:29,840 --> 00:29:34,320 Speaker 1: played Lionel Huts. Uh Phil Hartman. I just started watching 480 00:29:34,440 --> 00:29:38,680 Speaker 1: Phil Hartman's skits from the nineties. Oh Man, real soothing, 481 00:29:38,920 --> 00:29:46,000 Speaker 1: real soothing. That brought me like an hour of complete happiness. 482 00:29:46,080 --> 00:29:48,520 Speaker 1: That's skit where he's he's he's Bill Clinton at the 483 00:29:48,560 --> 00:29:55,400 Speaker 1: McDonald's and he's just stealing talking about warlords and that's 484 00:29:55,400 --> 00:29:59,080 Speaker 1: so good. He's really good. They were gonna they were 485 00:29:59,080 --> 00:30:05,640 Speaker 1: working on were developing a live action uh trum McLure movie. 486 00:30:05,800 --> 00:30:09,040 Speaker 1: What an amazing thing that would have been something. Yeah, 487 00:30:09,200 --> 00:30:12,560 Speaker 1: didn't he die violently? Yeah, his wife murdered him. It's 488 00:30:12,880 --> 00:30:15,200 Speaker 1: we don't need to go that. I'm sorry, I just 489 00:30:15,320 --> 00:30:18,400 Speaker 1: keep breaking. One of the one of the best skits 490 00:30:18,440 --> 00:30:21,160 Speaker 1: in SNL history was one he did with Chris Farley 491 00:30:21,240 --> 00:30:24,680 Speaker 1: where Chris Farley's a motivational speaker and yeah about living 492 00:30:24,680 --> 00:30:28,000 Speaker 1: in a van down by the river and it's a 493 00:30:28,120 --> 00:30:31,960 Speaker 1: perfect show. Really Yeah, yeah, I didn't know it was 494 00:30:31,960 --> 00:30:36,320 Speaker 1: written by Bob Odenkirk. It definitely feels like Bob wrote 495 00:30:36,320 --> 00:30:38,640 Speaker 1: it in either Groundlings or A Second City. I for 496 00:30:38,680 --> 00:30:40,760 Speaker 1: you which one, And he wrote it and he was like, well, 497 00:30:40,840 --> 00:30:42,680 Speaker 1: I can't do this. This is for Chris. You gave 498 00:30:42,720 --> 00:30:45,320 Speaker 1: it to Chris, Yeah, and it's yeah, it's a perfect 499 00:30:45,320 --> 00:30:47,360 Speaker 1: skit as long as you don't think too much about 500 00:30:47,400 --> 00:30:49,640 Speaker 1: what happened to both of the actors in it. Very 501 00:30:49,680 --> 00:30:55,040 Speaker 1: soon after felt yeah, yeah, yeah, if only Chris Farley 502 00:30:55,120 --> 00:30:57,240 Speaker 1: was still living in a van down by the river. 503 00:30:57,520 --> 00:31:00,760 Speaker 1: By the river, you know what's some good news though, 504 00:31:02,720 --> 00:31:07,280 Speaker 1: something surely right, maybe trying to trying to dig us 505 00:31:07,280 --> 00:31:20,760 Speaker 1: out of this trying there's yeah, there's some yeah, well okay, okay, okay, okay, okay, okay, okay, 506 00:31:19,760 --> 00:31:27,720 Speaker 1: good news to us. So the um so vaccination rates 507 00:31:27,720 --> 00:31:33,920 Speaker 1: are ticking up among kids. Kids are getting vaccinated. Good 508 00:31:33,960 --> 00:31:38,280 Speaker 1: for them. That's a large part of why they're taking upward. Um. 509 00:31:38,320 --> 00:31:41,080 Speaker 1: I think another part of it is because states are 510 00:31:41,120 --> 00:31:46,560 Speaker 1: offering money to people. And one thing actually that that 511 00:31:46,760 --> 00:31:50,320 Speaker 1: is I think encouraging is that um uh. There was 512 00:31:50,640 --> 00:31:54,480 Speaker 1: a bit of an uptick after the CDC basically said like, yeah, 513 00:31:54,520 --> 00:31:57,120 Speaker 1: you don't have to wear a mask if you've been vaccinated, Like, yes, 514 00:31:57,560 --> 00:32:00,080 Speaker 1: that's the point of the point of being based in 515 00:32:00,240 --> 00:32:03,080 Speaker 1: is it, Like it's safer now. Um. I think making 516 00:32:03,160 --> 00:32:06,719 Speaker 1: that very clear to people, um made people more willing 517 00:32:06,880 --> 00:32:08,880 Speaker 1: to go out and like, okay, well, if it can 518 00:32:08,960 --> 00:32:12,560 Speaker 1: get back to normal, then I'll go get the vaccine. Um. 519 00:32:12,600 --> 00:32:16,320 Speaker 1: So that's good, although just I'm gonna pep, just pepper. 520 00:32:16,360 --> 00:32:20,200 Speaker 1: In a little darker point is that um, something like 521 00:32:20,240 --> 00:32:23,200 Speaker 1: forty of people are hesitant to get the vaccine because 522 00:32:23,240 --> 00:32:25,080 Speaker 1: they're worried that they can't get a day off if 523 00:32:25,120 --> 00:32:29,640 Speaker 1: they have side effects, which is ridiculous. Um that we that, 524 00:32:29,800 --> 00:32:33,720 Speaker 1: like that's the situation. Also a lot of people are worried, 525 00:32:34,000 --> 00:32:39,440 Speaker 1: um that it's actually costs something even though it is free. UM. 526 00:32:39,520 --> 00:32:43,160 Speaker 1: And so I don't know, it's it's I keep reading 527 00:32:43,200 --> 00:32:45,880 Speaker 1: like little bits uh like that. I'm like, we're never 528 00:32:45,880 --> 00:32:49,000 Speaker 1: gonna learn anything from this pandemic. It is highlighting so 529 00:32:49,040 --> 00:32:51,320 Speaker 1: many things and we're just going to let the lessons 530 00:32:51,400 --> 00:32:55,760 Speaker 1: wash over us, Yeah, instead of doing anything about it. Um. Yeah, 531 00:32:55,800 --> 00:33:01,640 Speaker 1: I think that's interesting because uh and Sylvie had mentioned this. 532 00:33:01,680 --> 00:33:06,720 Speaker 1: Maybe we talk about post vaccination life and have a 533 00:33:06,760 --> 00:33:11,120 Speaker 1: conversation because it's it's been tricky and weird. Like I 534 00:33:11,200 --> 00:33:14,200 Speaker 1: was worried. I I I drove to Flagstaff the day 535 00:33:14,200 --> 00:33:17,920 Speaker 1: that I was fully vaccinated, um, and it was a 536 00:33:18,040 --> 00:33:20,720 Speaker 1: strange culture shock for me. Not that people don't wear 537 00:33:20,760 --> 00:33:25,400 Speaker 1: masks because they do, but it's much more like whatever. Um, 538 00:33:25,480 --> 00:33:29,720 Speaker 1: you know, inside people mostly wear masks, but it's not 539 00:33:29,800 --> 00:33:35,240 Speaker 1: really But I very quickly lost my need to have 540 00:33:35,400 --> 00:33:39,040 Speaker 1: it with me um, and I felt very guilty whenever 541 00:33:39,080 --> 00:33:40,880 Speaker 1: I found myself like oh ship, oh ship, and then 542 00:33:40,920 --> 00:33:44,160 Speaker 1: I'd have to remind myself, Wit, you're vaccinated, you're vaccinated. 543 00:33:44,200 --> 00:33:48,800 Speaker 1: Your vaccinated, you're vaccinated. It's okay, um, and it's but 544 00:33:48,880 --> 00:33:54,600 Speaker 1: it is weird. It It does feel like, um, continuing 545 00:33:54,600 --> 00:33:58,000 Speaker 1: to wear your masks shows is a little bit disheartened. 546 00:33:58,000 --> 00:34:00,840 Speaker 1: It could be disheartening for people like, well, what's the 547 00:34:00,880 --> 00:34:03,080 Speaker 1: point if it's still going to be the same. But 548 00:34:03,120 --> 00:34:04,920 Speaker 1: it is tricky and I think that people have a 549 00:34:04,920 --> 00:34:07,760 Speaker 1: lot of reactions and things that come up at this 550 00:34:07,840 --> 00:34:13,040 Speaker 1: point in letting go of this behavior. UM. And I 551 00:34:13,040 --> 00:34:15,560 Speaker 1: don't know. I I am curious. I just got back 552 00:34:15,680 --> 00:34:17,600 Speaker 1: last night. I was very curious of what it's going 553 00:34:17,640 --> 00:34:20,319 Speaker 1: to be like now that I'm in l A. Um. Well, 554 00:34:20,440 --> 00:34:24,600 Speaker 1: l A. L A's mask mandate ends the fifteenth, I believe, 555 00:34:25,560 --> 00:34:28,560 Speaker 1: and like, so we still have a mask mandate right now. 556 00:34:28,640 --> 00:34:31,200 Speaker 1: I still have a mask mandate. I'll come back to 557 00:34:31,360 --> 00:34:34,080 Speaker 1: l A when that ends. I'm no longer in l 558 00:34:34,120 --> 00:34:36,319 Speaker 1: A proper, So it's hard to sort of gauge like 559 00:34:36,640 --> 00:34:39,759 Speaker 1: like going out, Oh yeah, Pasadena, cat doesn't count as 560 00:34:39,880 --> 00:34:43,520 Speaker 1: l A area. No, it absolutely does not. Know, I 561 00:34:43,640 --> 00:34:47,520 Speaker 1: just assume that a order like that would reach. But yeah, 562 00:34:48,480 --> 00:34:51,200 Speaker 1: we have like stores that I've come out ahead of 563 00:34:51,280 --> 00:34:53,839 Speaker 1: time being like, yes, we're not going to require it, 564 00:34:53,960 --> 00:34:57,440 Speaker 1: Yes we are, We're still going to require it. Um. 565 00:34:57,480 --> 00:34:58,960 Speaker 1: I know that there's been a lot of things with 566 00:34:59,040 --> 00:35:04,760 Speaker 1: like it companies asking employees to like show their vaccine 567 00:35:04,800 --> 00:35:06,719 Speaker 1: card and if they don't, then they still have to 568 00:35:06,719 --> 00:35:12,120 Speaker 1: wear a mask, which is a very slippery slope. I feel, well, 569 00:35:12,160 --> 00:35:14,640 Speaker 1: at least they aren't saying you can't work here. No, 570 00:35:15,560 --> 00:35:20,080 Speaker 1: but um, but it is a slippery slope. You're right. Um, 571 00:35:20,120 --> 00:35:25,560 Speaker 1: it's hard and frustrating to communicate with people who um 572 00:35:25,600 --> 00:35:28,560 Speaker 1: and to how to how to approach this delicate issue. Yeah, 573 00:35:28,640 --> 00:35:31,600 Speaker 1: that it that it's a delicate issue is frustrating because 574 00:35:31,600 --> 00:35:37,280 Speaker 1: it's really minor thing to ask. It's not a big 575 00:35:37,320 --> 00:35:39,400 Speaker 1: deal in the sense that it was necessary. Right, you 576 00:35:39,440 --> 00:35:41,360 Speaker 1: can make an argument that like I think there were 577 00:35:41,400 --> 00:35:44,160 Speaker 1: I think all of the rules mandating outdoor mask wearing. 578 00:35:44,160 --> 00:35:47,919 Speaker 1: We're fucking outrageous and stupid from the beginning because and 579 00:35:48,239 --> 00:35:49,920 Speaker 1: the science has backed up that, Like, no, that was 580 00:35:49,960 --> 00:35:53,399 Speaker 1: never necessary, It never helped. Um. Maybe if you're talking 581 00:35:53,400 --> 00:35:58,320 Speaker 1: about like a concert ship, but people don't fucking jogging outside, 582 00:35:58,400 --> 00:36:02,359 Speaker 1: that's just stupid, dense and it and it feeds the 583 00:36:02,400 --> 00:36:04,880 Speaker 1: fucking bullsh It feeds people being like this is an 584 00:36:04,960 --> 00:36:09,560 Speaker 1: unreasonable burden and ship it just sucksum. But that's setting 585 00:36:09,600 --> 00:36:13,439 Speaker 1: down the beaches, Shutting down beaches like all the things 586 00:36:13,440 --> 00:36:16,960 Speaker 1: that are actually most healthy for people to do, UM like, 587 00:36:17,400 --> 00:36:20,359 Speaker 1: which is you know, be be outside and not going 588 00:36:20,440 --> 00:36:24,320 Speaker 1: to a goddamn bar or something anyway, socialized outside and 589 00:36:24,800 --> 00:36:27,920 Speaker 1: where Yeah, I do understand that at the beginning we 590 00:36:27,960 --> 00:36:32,399 Speaker 1: did not know everything, but we had a pretty good idea, 591 00:36:32,640 --> 00:36:36,960 Speaker 1: and those beaches in different outdoor closures, parks, trails stayed 592 00:36:37,000 --> 00:36:39,920 Speaker 1: that way for a long time, much longer than needed. 593 00:36:40,160 --> 00:36:43,799 Speaker 1: It's one thing to like, you know, assess the situation. 594 00:36:43,960 --> 00:36:49,160 Speaker 1: But anyway, you guys get it. It's been frustrating, it's 595 00:36:49,160 --> 00:36:51,640 Speaker 1: been hard, and it does feel the division. It does 596 00:36:51,680 --> 00:36:55,080 Speaker 1: feel the animosity and the mis miscommunication and the lack 597 00:36:55,120 --> 00:36:58,359 Speaker 1: of clarity that people have about it. Yeah, I just 598 00:36:58,680 --> 00:37:02,720 Speaker 1: hate it. Um, I've seen a lot of discourse about 599 00:37:02,840 --> 00:37:06,480 Speaker 1: you know, if companies are requiring medical history about this, 600 00:37:06,680 --> 00:37:09,960 Speaker 1: that it might lead to like seeing people being like, well, 601 00:37:09,960 --> 00:37:11,719 Speaker 1: what other medal history of mine? Am I going to 602 00:37:11,800 --> 00:37:14,000 Speaker 1: have to show my employer? So I've seen a lot 603 00:37:14,040 --> 00:37:18,799 Speaker 1: of discourse about that with people being unsure, and there's 604 00:37:19,320 --> 00:37:22,600 Speaker 1: there's valid questions to ask about some of that stuff. 605 00:37:22,640 --> 00:37:25,080 Speaker 1: About the idea of like a vaccine passport to go 606 00:37:25,160 --> 00:37:29,080 Speaker 1: to basic places and ship um other countries, It's like, well, 607 00:37:29,080 --> 00:37:31,279 Speaker 1: we do that already, but like yeah, if it's like 608 00:37:31,480 --> 00:37:34,799 Speaker 1: if you can't go to McDonald's without having well, I 609 00:37:34,800 --> 00:37:36,600 Speaker 1: guess we're not going to be seeing that, though if 610 00:37:36,600 --> 00:37:39,839 Speaker 1: we were, we would be seeing it already. Other kinds 611 00:37:39,880 --> 00:37:42,759 Speaker 1: are Israel I know. It's also like a lot of 612 00:37:42,760 --> 00:37:45,560 Speaker 1: these a lot of these companies are not requiring it 613 00:37:45,680 --> 00:37:50,319 Speaker 1: of their customers, but they are requiring it of their employees. 614 00:37:50,600 --> 00:37:53,239 Speaker 1: And so if we're going on the honor system for 615 00:37:53,239 --> 00:37:57,160 Speaker 1: for uh people we haven't vetted and hired, etcetera, etcetera, 616 00:37:57,880 --> 00:38:02,600 Speaker 1: but we're requiring it of people that we know that 617 00:38:02,600 --> 00:38:07,799 Speaker 1: I don't know, Um, mind you I am vaccinated. I 618 00:38:07,840 --> 00:38:13,120 Speaker 1: just like I just showing like what I've seen amazing 619 00:38:13,160 --> 00:38:15,400 Speaker 1: headline from the A V Club over the weekend. I 620 00:38:15,440 --> 00:38:18,640 Speaker 1: believe fully vaccinated people and also just liars can now 621 00:38:18,680 --> 00:38:23,040 Speaker 1: go mask free at theaters. Yes, well, this was a 622 00:38:23,080 --> 00:38:27,120 Speaker 1: frustrating thing and flag stuff. UM. When Cathy was still 623 00:38:27,120 --> 00:38:33,040 Speaker 1: in the hospital, they had strict rules about visitation, but 624 00:38:33,120 --> 00:38:36,680 Speaker 1: we could go in. Um. I couldn't leave her room 625 00:38:36,719 --> 00:38:40,520 Speaker 1: and re enter it. Uh, but you could go in. 626 00:38:40,600 --> 00:38:44,480 Speaker 1: But then they said like only one or two visitors 627 00:38:44,480 --> 00:38:48,840 Speaker 1: a day, but not at the same time. UM. Although 628 00:38:48,880 --> 00:38:51,040 Speaker 1: at first it was fine we could go, three of 629 00:38:51,120 --> 00:38:53,520 Speaker 1: us would go in and visit, and then on five 630 00:38:53,600 --> 00:38:55,719 Speaker 1: days later they changed it so only one at a 631 00:38:55,760 --> 00:38:58,840 Speaker 1: time and you have to check in and get permission 632 00:38:58,840 --> 00:39:02,400 Speaker 1: to go up. But they never once asked if you're vaccinated. 633 00:39:04,480 --> 00:39:09,160 Speaker 1: There was no no asking or checking. It didn't matter 634 00:39:09,200 --> 00:39:12,480 Speaker 1: if you were vaccinated or not. UM. And I thought 635 00:39:12,480 --> 00:39:14,799 Speaker 1: that was interesting to have these strict rules that were 636 00:39:15,320 --> 00:39:17,680 Speaker 1: very difficult because when someone's at this the stage in 637 00:39:17,719 --> 00:39:21,239 Speaker 1: their life they had deteriorate much quicker. You don't have 638 00:39:21,520 --> 00:39:24,200 Speaker 1: um people around that they love and can talk to, 639 00:39:24,760 --> 00:39:27,800 Speaker 1: and so it's frustrating and I feel for them. I 640 00:39:27,840 --> 00:39:29,719 Speaker 1: guess there's also a situation of like how can what 641 00:39:29,840 --> 00:39:32,560 Speaker 1: can they do? But it just was wild that the 642 00:39:32,600 --> 00:39:38,080 Speaker 1: COVID rules did not include being vaccinated in the hospital. Yeah, 643 00:39:38,640 --> 00:39:41,160 Speaker 1: I mean, my grandma'sn't necessarily living and like they do 644 00:39:41,239 --> 00:39:43,840 Speaker 1: the temperature check, they do that, have you travel, you 645 00:39:43,880 --> 00:39:46,399 Speaker 1: have to wash your hands when you get there and where, 646 00:39:46,800 --> 00:39:51,440 Speaker 1: but it's never vaccine questions than what the hospital did. Yeah, 647 00:39:51,680 --> 00:39:54,680 Speaker 1: and I mean she this is in California, but like, yeah, 648 00:39:55,200 --> 00:39:59,600 Speaker 1: there's there's no have you been vaccinated? Question? Right? So 649 00:39:59,680 --> 00:40:03,440 Speaker 1: I like, like I feel like we don't per per usual. 650 00:40:03,640 --> 00:40:07,160 Speaker 1: America doesn't know what the funk we're doing, and uh, 651 00:40:07,280 --> 00:40:12,279 Speaker 1: running on the honors system in America, it's so terrify. Yeah, 652 00:40:12,880 --> 00:40:16,000 Speaker 1: but again, yeah, honor isn't our strong suit in this 653 00:40:16,040 --> 00:40:20,120 Speaker 1: Correctionate you're vaccinated and so go out and live your life. Yeah, 654 00:40:20,320 --> 00:40:23,920 Speaker 1: go out, you live your life. Spit on everyone, every 655 00:40:24,000 --> 00:40:27,520 Speaker 1: single person you encounter. Just start hawking Luby's, because that's 656 00:40:27,520 --> 00:40:30,640 Speaker 1: how you show love. It says like, if you've been 657 00:40:30,680 --> 00:40:33,480 Speaker 1: vaccinated and you've become in contact with someone who is 658 00:40:33,560 --> 00:40:38,000 Speaker 1: literally positive for COVID nineteen, then you can still go 659 00:40:38,080 --> 00:40:41,720 Speaker 1: and interact with unvaccinated people. It just became a mantra 660 00:40:41,800 --> 00:40:45,399 Speaker 1: for me this past month. Yeah, it's very vaccinated. It's okay, 661 00:40:45,440 --> 00:40:50,960 Speaker 1: you're vaccinated. It's okay. Everybody Lick everybody, everybody, look everybody. 662 00:40:51,080 --> 00:40:55,320 Speaker 1: Uh court new Kaiser pol suggests US could reach seventy 663 00:40:55,719 --> 00:40:58,919 Speaker 1: vaccination by this summer. So seventy of us go lick 664 00:40:58,960 --> 00:41:01,920 Speaker 1: everybody else. It's fine, And I guess the rest of 665 00:41:01,960 --> 00:41:03,799 Speaker 1: you go for it too, because you weren't going to 666 00:41:03,800 --> 00:41:08,520 Speaker 1: get vaccinated anyway. There are some people still waiting, um 667 00:41:08,600 --> 00:41:13,600 Speaker 1: to see how it affects people. There are a sizeable 668 00:41:13,640 --> 00:41:18,040 Speaker 1: amount of people which you know, funk, I get it, 669 00:41:18,480 --> 00:41:23,640 Speaker 1: who are nervous about COVID because I've interacted with a 670 00:41:23,680 --> 00:41:26,560 Speaker 1: few at this point who are nervous about COVID and 671 00:41:26,640 --> 00:41:30,759 Speaker 1: take it very seriously. Are also nervous about a vaccine 672 00:41:30,840 --> 00:41:35,200 Speaker 1: that has been rushed and UM want to take I 673 00:41:35,280 --> 00:41:39,000 Speaker 1: will say it's technically, like we talked about how it's 674 00:41:39,000 --> 00:41:41,840 Speaker 1: like a rushed like experimental thing is it's not really 675 00:41:43,600 --> 00:41:46,520 Speaker 1: rushed so much as a lot of the things that 676 00:41:47,400 --> 00:41:50,520 Speaker 1: they do with a vaccine to develop it is done 677 00:41:50,520 --> 00:41:53,600 Speaker 1: in a linear fashion as opposed to doing all sort 678 00:41:53,640 --> 00:41:55,719 Speaker 1: of at once. Well, and the m r N a 679 00:41:55,920 --> 00:41:58,920 Speaker 1: technology has been worked on and has been around for 680 00:41:59,000 --> 00:42:03,440 Speaker 1: like ten years. I've been leave Yes, um Cove was it. 681 00:42:03,640 --> 00:42:06,080 Speaker 1: Maybe he was the one that spoke to us about that, 682 00:42:06,239 --> 00:42:09,160 Speaker 1: but so But to me, that's the kind of misinformation 683 00:42:09,239 --> 00:42:12,480 Speaker 1: that's getting in the way of some stuff. So when 684 00:42:12,520 --> 00:42:14,799 Speaker 1: I've encountered people, I say, like, I totally understand where 685 00:42:14,800 --> 00:42:16,840 Speaker 1: you're coming from. That's a reasonable thing to be afraid of. 686 00:42:16,920 --> 00:42:20,320 Speaker 1: But I did you know that it's actually hasn't happened 687 00:42:20,320 --> 00:42:22,880 Speaker 1: as quickly as it seems. It felt like that, and 688 00:42:22,960 --> 00:42:25,560 Speaker 1: in actuality, this is technology that's been around a long 689 00:42:25,600 --> 00:42:29,280 Speaker 1: time and they've been working on it. So maybe Operation 690 00:42:29,600 --> 00:42:32,320 Speaker 1: Speed maybe not the best name, not the best branding. 691 00:42:32,360 --> 00:42:36,360 Speaker 1: I mean, look, I I didn't want anything that was 692 00:42:36,400 --> 00:42:38,719 Speaker 1: too rushed and not proven, But I feel confident in 693 00:42:38,760 --> 00:42:41,239 Speaker 1: it now of course. Well, I mean I've taken way 694 00:42:41,280 --> 00:42:45,279 Speaker 1: too many things literally called research chemicals because they're psychedelic 695 00:42:45,360 --> 00:42:48,040 Speaker 1: drugs that have were just tested on whoever wanted to 696 00:42:48,040 --> 00:42:51,520 Speaker 1: get high to complain about an untested vaccine, Like fuck it, 697 00:42:51,560 --> 00:42:53,680 Speaker 1: I'll shoot anything into my veins. Who gives a fuck 698 00:42:54,400 --> 00:42:57,480 Speaker 1: my magic blood. I once licked black tar off a 699 00:42:57,480 --> 00:43:00,080 Speaker 1: guy's fingers at a bar in rural India, Like, I 700 00:43:00,120 --> 00:43:02,920 Speaker 1: don't give a ship put it in my body. Let 701 00:43:02,960 --> 00:43:06,680 Speaker 1: me be the guinnea pig. I'll try whatever. But anyway, 702 00:43:06,760 --> 00:43:09,480 Speaker 1: I just mentioned that to say that, like people who 703 00:43:09,520 --> 00:43:13,520 Speaker 1: aren't getting vaccinated and aren't all just saying no, I 704 00:43:13,560 --> 00:43:15,960 Speaker 1: don't ever want to get vaccinated and I don't believe 705 00:43:16,000 --> 00:43:20,080 Speaker 1: in the virus there are there. There has been messaging problems, 706 00:43:20,120 --> 00:43:22,480 Speaker 1: there has been miscommunication, There has been a lack of 707 00:43:22,520 --> 00:43:25,400 Speaker 1: consensus this whole time, and so it makes sense that 708 00:43:25,560 --> 00:43:30,680 Speaker 1: some people are hesitant, and um, shaming people isn't necessarily 709 00:43:30,719 --> 00:43:33,760 Speaker 1: the right way to change that. But I think incentivizing 710 00:43:34,120 --> 00:43:36,440 Speaker 1: My brother got vaccinated because his com I mean he 711 00:43:36,480 --> 00:43:38,920 Speaker 1: would have eventually, but he signed up quick because his 712 00:43:39,040 --> 00:43:43,279 Speaker 1: company gave him five hundred bucks. Yeah. People, yeah, yeah, 713 00:43:43,280 --> 00:43:46,359 Speaker 1: they're definitely. Yeah, They're like there are concerns out there. 714 00:43:46,360 --> 00:43:49,600 Speaker 1: They're like, yeah, that's understandable, even like the economic concerns 715 00:43:49,600 --> 00:43:55,120 Speaker 1: all these sort of things. Um, but there's also like 716 00:43:55,239 --> 00:44:00,760 Speaker 1: maybe the microchip in your blood is a silly concern. Um. Yeah, 717 00:44:00,800 --> 00:44:03,160 Speaker 1: And I think I think I think any sort of 718 00:44:03,200 --> 00:44:04,640 Speaker 1: sort of your point, K. I think a lot of 719 00:44:04,640 --> 00:44:08,799 Speaker 1: people with various concerns are all lumped in with Bill 720 00:44:08,840 --> 00:44:12,239 Speaker 1: Gates is trying to track your blood, um, which he is, 721 00:44:12,440 --> 00:44:15,960 Speaker 1: which obviously is. But he's sex thing. It's not a 722 00:44:16,000 --> 00:44:19,319 Speaker 1: control thing, it's a sex thing. Yeah, it's just for 723 00:44:19,400 --> 00:44:23,120 Speaker 1: his Again with that, I've said that, it's like, no, 724 00:44:23,239 --> 00:44:25,200 Speaker 1: I don't believe that, but yeah, I guess our common 725 00:44:25,200 --> 00:44:27,480 Speaker 1: ground is that I hate Bill Gates and he doesn't 726 00:44:27,520 --> 00:44:31,480 Speaker 1: care about saving people. He cares about making money. So no, 727 00:44:31,640 --> 00:44:34,959 Speaker 1: don't trust him. But not because he's gonna put chips 728 00:44:34,960 --> 00:44:40,000 Speaker 1: in your blood. Yeah. Yeah. Anyways, it's a it's time, 729 00:44:40,080 --> 00:44:50,240 Speaker 1: it's time for an adver, time for a break together everything. 730 00:44:53,320 --> 00:44:57,600 Speaker 1: We're back and we're celebrating the fact that we're already 731 00:44:57,640 --> 00:45:00,080 Speaker 1: at fifty minutes, which means our work for today A 732 00:45:01,040 --> 00:45:05,239 Speaker 1: is nearly done. Um. What a hard from a commercial 733 00:45:05,280 --> 00:45:08,080 Speaker 1: break just to say that. But well, we're doing We're 734 00:45:08,080 --> 00:45:11,480 Speaker 1: doing it. We've done it, we're doing it. Thank you, Cody, 735 00:45:11,640 --> 00:45:15,200 Speaker 1: Thank you for finally adding an air horn to this podcast, 736 00:45:15,320 --> 00:45:18,719 Speaker 1: the thing we really needed. Um. So, there was a 737 00:45:18,760 --> 00:45:26,280 Speaker 1: series of developments are climate change that has been mainly 738 00:45:26,520 --> 00:45:29,640 Speaker 1: celebrated by kind of liberals in in in kind of 739 00:45:29,680 --> 00:45:33,080 Speaker 1: center left media as a yeah, we we did it. 740 00:45:33,080 --> 00:45:36,400 Speaker 1: It's over. Everything's the rains are coming back. UM. No, 741 00:45:36,520 --> 00:45:38,840 Speaker 1: it's been described like the CNBC article. I'm looking at 742 00:45:38,840 --> 00:45:42,640 Speaker 1: the descript as a crushing day for big oil UM 743 00:45:42,760 --> 00:45:46,160 Speaker 1: and it was a series of different defeats for oil 744 00:45:46,200 --> 00:45:49,400 Speaker 1: companies UM in terms of like one of them was 745 00:45:49,880 --> 00:45:54,000 Speaker 1: it was fucking UM UM xx on. There's a group 746 00:45:54,000 --> 00:45:56,800 Speaker 1: of kind of activist investors which have a point zero 747 00:45:56,880 --> 00:46:00,319 Speaker 1: two percent steak and x on who organized, like I guess, 748 00:46:00,320 --> 00:46:03,520 Speaker 1: a little insurgency within the company that unseated two board 749 00:46:03,560 --> 00:46:07,919 Speaker 1: members UM and this activist investment firm wants to force 750 00:46:07,960 --> 00:46:09,799 Speaker 1: the company to speed up plans to pivot away from 751 00:46:09,800 --> 00:46:13,800 Speaker 1: fossil fuels UM. It's one of those things where I 752 00:46:13,840 --> 00:46:16,239 Speaker 1: guess it's not a bad sign. It also is real 753 00:46:16,320 --> 00:46:19,399 Speaker 1: hard to say whether or not it's gonna matter at all, 754 00:46:20,360 --> 00:46:22,520 Speaker 1: because the CEO was like, well, I welcome the new 755 00:46:22,520 --> 00:46:26,640 Speaker 1: directors and I want to help them understand. Yeah, I 756 00:46:26,680 --> 00:46:28,919 Speaker 1: think that that that I don't know that I think 757 00:46:28,920 --> 00:46:32,920 Speaker 1: it can matter at all, not at that small percentage. 758 00:46:32,960 --> 00:46:37,799 Speaker 1: I think ultimately I just don't know if it can 759 00:46:37,880 --> 00:46:41,560 Speaker 1: possibly matter. It might not, but I like the yeah, 760 00:46:41,719 --> 00:46:44,239 Speaker 1: I like that tactic as it might also just end 761 00:46:44,280 --> 00:46:47,200 Speaker 1: with the company being because the CEO, Darren Woods, was like, 762 00:46:47,280 --> 00:46:49,160 Speaker 1: I welcome the new directors and I'm looking forward to 763 00:46:49,200 --> 00:46:51,960 Speaker 1: helping them understand our plans and hear their insights and perspectives, 764 00:46:51,960 --> 00:46:54,560 Speaker 1: which I I take means they're just going to find 765 00:46:54,560 --> 00:46:57,000 Speaker 1: new ways to make it seem like they're not killing 766 00:46:57,000 --> 00:47:01,440 Speaker 1: the planet without actually changing any of their jo I 767 00:47:01,520 --> 00:47:06,560 Speaker 1: look forward to helping them understand or however that phrasing was, 768 00:47:07,280 --> 00:47:09,359 Speaker 1: it's like, oh, I look forward to educating them as 769 00:47:09,360 --> 00:47:12,759 Speaker 1: to why we're not going to listen, but they're trying to. 770 00:47:12,920 --> 00:47:15,600 Speaker 1: This firm has talked a good game, and they talked 771 00:47:15,600 --> 00:47:19,080 Speaker 1: particularly about decreasing the emissions now not in the future, 772 00:47:19,280 --> 00:47:21,280 Speaker 1: which is, you know, kind of what everyone's been saying. 773 00:47:21,920 --> 00:47:25,080 Speaker 1: It is like, well, we're gonna we're gonna get emissions 774 00:47:25,120 --> 00:47:27,640 Speaker 1: down by or whatever, and these guys are like, it 775 00:47:27,680 --> 00:47:31,839 Speaker 1: needs to be faster than that. So it's not it's 776 00:47:31,840 --> 00:47:35,200 Speaker 1: not a bad sign that that happened at x ON. 777 00:47:35,400 --> 00:47:38,600 Speaker 1: I just don't know if it's actually going to matter. Um. 778 00:47:38,760 --> 00:47:41,920 Speaker 1: The other big decision was a Dutch court ruled that 779 00:47:42,000 --> 00:47:46,440 Speaker 1: Shell had to reduce its carbon emissions by from the 780 00:47:46,520 --> 00:47:50,239 Speaker 1: two nineteen levels. UM. They had offered to reduce their 781 00:47:50,280 --> 00:47:55,520 Speaker 1: emissions by so that's a significant increase UM. The court 782 00:47:55,600 --> 00:47:57,680 Speaker 1: ruling also said that Shell is responsible for not just 783 00:47:57,719 --> 00:48:00,320 Speaker 1: its own carbon emissions but those of its supply byers. 784 00:48:01,000 --> 00:48:04,840 Speaker 1: UM and this is probably the first time in history 785 00:48:04,880 --> 00:48:08,279 Speaker 1: that a company has been legally obligated to um like 786 00:48:08,400 --> 00:48:11,840 Speaker 1: follow the Paris Agreement, basically to put its policies in 787 00:48:11,840 --> 00:48:15,759 Speaker 1: line with the Paris Agreement. Shell called the court decision disappointing, 788 00:48:15,840 --> 00:48:17,640 Speaker 1: which is kind of heartening to me because I like 789 00:48:17,719 --> 00:48:20,520 Speaker 1: it more when they're they're they're vocally unhappy with it. 790 00:48:21,400 --> 00:48:25,920 Speaker 1: UM And yeah, it's been it's you know, it's kind 791 00:48:25,920 --> 00:48:28,640 Speaker 1: of hard to say again whether or not this will matter. 792 00:48:28,840 --> 00:48:33,200 Speaker 1: So UM there's been one guy, Tom Cummins, who's a 793 00:48:33,920 --> 00:48:37,640 Speaker 1: dispute resolution partner at a law firm called Amherst, said 794 00:48:37,680 --> 00:48:39,680 Speaker 1: that he thought this would have a broader impact on 795 00:48:39,719 --> 00:48:42,320 Speaker 1: the oil and gas industry. He said, quote, this is 796 00:48:42,400 --> 00:48:45,160 Speaker 1: arguably the most significant climate change related judgment yet, which 797 00:48:45,160 --> 00:48:48,040 Speaker 1: emphasizes that companies and not just governments, maybe the target 798 00:48:48,040 --> 00:48:52,680 Speaker 1: of strategic litigation which seeks to drive changes in behavior. UM. 799 00:48:52,760 --> 00:48:57,279 Speaker 1: That said other folks have been significantly more I don't know, 800 00:48:57,320 --> 00:49:01,400 Speaker 1: black pilled about this. Um. There's one guy I thought 801 00:49:01,520 --> 00:49:05,719 Speaker 1: was particularly uh. I don't know. I kind of line 802 00:49:05,880 --> 00:49:08,000 Speaker 1: up with this view, which is like, well, they're going 803 00:49:08,040 --> 00:49:11,320 Speaker 1: to appeal this. Uh. And it's this high court ruling 804 00:49:11,320 --> 00:49:13,719 Speaker 1: in a single European country isn't going to actually change 805 00:49:13,719 --> 00:49:17,480 Speaker 1: how this massive international oil company does things. Um. It 806 00:49:17,520 --> 00:49:21,480 Speaker 1: has negligible chances to survive appeals. It's is mostly symbolic 807 00:49:21,520 --> 00:49:24,319 Speaker 1: and it's not going to do anything. UM. I don't know. 808 00:49:24,360 --> 00:49:29,480 Speaker 1: I'm certainly hopeful that big that that it does something, UM, 809 00:49:29,520 --> 00:49:32,319 Speaker 1: but I don't know if it will uh. And no 810 00:49:32,360 --> 00:49:37,759 Speaker 1: one really does yet. But yeah, we'll see anecdotally if 811 00:49:37,760 --> 00:49:41,600 Speaker 1: this is a positive. I agree, none of this sounds 812 00:49:41,640 --> 00:49:47,040 Speaker 1: like uh will ultimately move the needle. Big corporations at 813 00:49:47,560 --> 00:49:50,680 Speaker 1: the end of the daycare about their bottom line. But 814 00:49:53,160 --> 00:49:58,359 Speaker 1: bring it back to FLAGSTAF guys again. Talking people, I 815 00:49:58,440 --> 00:50:01,520 Speaker 1: was surprised at how universe soul talking to people with 816 00:50:01,560 --> 00:50:05,240 Speaker 1: different backgrounds. Universally, it was an agreement that climate change 817 00:50:05,360 --> 00:50:09,720 Speaker 1: is a problem, So you know, that's outside of it's 818 00:50:09,719 --> 00:50:15,120 Speaker 1: hard to note that that it really isn't like and 819 00:50:15,120 --> 00:50:18,200 Speaker 1: and a concern and people. So to me, I was like, like, 820 00:50:18,239 --> 00:50:21,800 Speaker 1: that's something that's not polarizing right now, Um, at least 821 00:50:21,800 --> 00:50:23,880 Speaker 1: to this community that I was in. And I was 822 00:50:23,960 --> 00:50:27,480 Speaker 1: a little heartened by that. Um, like this is okay, 823 00:50:27,520 --> 00:50:30,279 Speaker 1: we can agree. And there was a consensus of big 824 00:50:30,320 --> 00:50:33,640 Speaker 1: corporations being a problem that is preventing us from making 825 00:50:33,640 --> 00:50:37,279 Speaker 1: significant changes. So I don't know if that is at 826 00:50:37,280 --> 00:50:40,040 Speaker 1: all a positive spin, but to me that made me 827 00:50:40,120 --> 00:50:44,320 Speaker 1: feel good that at least there's some common ground there. Yeah, 828 00:50:44,360 --> 00:50:47,480 Speaker 1: it's not that that changes things as a situation currently, 829 00:50:47,520 --> 00:50:50,719 Speaker 1: but perhaps as we move forward in our lifetimes we 830 00:50:50,760 --> 00:50:55,080 Speaker 1: will see necessary step. It's a necessary step, yeah, um 831 00:50:56,239 --> 00:50:58,840 Speaker 1: required and again anecdotal. It's not like I'm speaking for 832 00:50:58,880 --> 00:51:01,840 Speaker 1: the whole country. It's just people. Yeah. People are slowly 833 00:51:01,960 --> 00:51:05,400 Speaker 1: coming around. I think there's still datas to support that. Yeah. Also, 834 00:51:05,440 --> 00:51:08,319 Speaker 1: I mean the Replican Party is for you know, so 835 00:51:08,400 --> 00:51:11,600 Speaker 1: long denied it being a thing at all. Yeah, and 836 00:51:11,680 --> 00:51:13,799 Speaker 1: now they're of the mind of like, well it's real, 837 00:51:14,080 --> 00:51:15,880 Speaker 1: and like maybe we won't do anything about it. We 838 00:51:16,000 --> 00:51:20,319 Speaker 1: just shouldn't take any action whatsoever. There's things you can 839 00:51:20,360 --> 00:51:23,000 Speaker 1: do for the economy. I mean, it's it's good to 840 00:51:23,239 --> 00:51:25,879 Speaker 1: it doesn't matter. You would think that it could be 841 00:51:25,960 --> 00:51:28,600 Speaker 1: in line with Republican talking points if they just change 842 00:51:28,640 --> 00:51:31,800 Speaker 1: their fucking mind. Yeah, this is kind of a mixed 843 00:51:31,920 --> 00:51:33,560 Speaker 1: more of a mixed thing. So back in January, the 844 00:51:33,600 --> 00:51:36,359 Speaker 1: Supreme Court agreed to hear ruling or agreed to hear 845 00:51:36,440 --> 00:51:39,880 Speaker 1: arguments about UM a case where the City of Baltimore 846 00:51:39,920 --> 00:51:42,600 Speaker 1: is basically suing a number of energy companies seeking monetary 847 00:51:42,680 --> 00:51:44,920 Speaker 1: damages from them due to cost caust by a global 848 00:51:44,960 --> 00:51:48,680 Speaker 1: climate change UM. And the question was whether or not 849 00:51:48,719 --> 00:51:50,960 Speaker 1: this could be seen in federal court, and it was. 850 00:51:51,080 --> 00:51:54,439 Speaker 1: It was thankfully a narrow like decision like it wasn't 851 00:51:54,440 --> 00:51:56,319 Speaker 1: they were looking for a narrow ruling, So they weren't 852 00:51:56,320 --> 00:51:59,720 Speaker 1: deciding whether or not cities could sue oil and gas 853 00:51:59,719 --> 00:52:02,080 Speaker 1: company these over the consequences of climate change. But they 854 00:52:02,080 --> 00:52:04,680 Speaker 1: were deciding whether or not that should be seen in 855 00:52:04,880 --> 00:52:10,400 Speaker 1: federal court or in state court. UM. And the Supreme 856 00:52:10,440 --> 00:52:14,719 Speaker 1: Court ruled UH in favor of the oil companies. UM. 857 00:52:15,640 --> 00:52:18,839 Speaker 1: It's kind of like a technical legal issue. UM. Now 858 00:52:18,880 --> 00:52:22,080 Speaker 1: this has still not been UM. This has still not 859 00:52:22,160 --> 00:52:27,000 Speaker 1: been kind of like completely litigated. UM. And interestingly enough, 860 00:52:27,040 --> 00:52:29,320 Speaker 1: Samuel Alito had to refuse himself. It was a seven 861 00:52:29,320 --> 00:52:31,120 Speaker 1: to one, not eight to one, because he owned stock 862 00:52:31,160 --> 00:52:36,280 Speaker 1: and two of the oil companies involved in the litigation. Um. Yeah, 863 00:52:36,360 --> 00:52:41,640 Speaker 1: and you know, uh uh oh sorry. The the the 864 00:52:41,760 --> 00:52:45,120 Speaker 1: nature of the case was that the city government wanted 865 00:52:45,160 --> 00:52:47,000 Speaker 1: to be heard in state court because it was more 866 00:52:47,040 --> 00:52:50,160 Speaker 1: amenable to them. The energy companies wanted to have it 867 00:52:50,239 --> 00:52:53,240 Speaker 1: heard in federal court. Um. And it was a question 868 00:52:53,280 --> 00:52:55,759 Speaker 1: about like whether because the gas emissions crossed state and 869 00:52:55,840 --> 00:53:00,319 Speaker 1: international lines. And yeah, Supreme Court ruled in favor of 870 00:53:00,400 --> 00:53:04,759 Speaker 1: these companies in this technical legal issue. Sorry, we're struggling 871 00:53:04,800 --> 00:53:08,280 Speaker 1: to figure things out as this is going on. Um. 872 00:53:08,280 --> 00:53:14,719 Speaker 1: But yeah, so that's not ideal, uh, but I don't 873 00:53:14,719 --> 00:53:19,480 Speaker 1: know something, it's it's just what whatever is going to happen, 874 00:53:19,640 --> 00:53:21,879 Speaker 1: Like this is going to keep getting Like now they 875 00:53:21,880 --> 00:53:24,560 Speaker 1: have to litigate and in federal court, which is less 876 00:53:24,560 --> 00:53:29,439 Speaker 1: amenable to the cities than a state court would be. Um. 877 00:53:29,480 --> 00:53:32,279 Speaker 1: But it doesn't mean that like ultimately they're not going 878 00:53:32,360 --> 00:53:36,920 Speaker 1: to be able to uh get damages from these companies 879 00:53:36,920 --> 00:53:39,680 Speaker 1: over climate change. And I think it kind of I 880 00:53:39,719 --> 00:53:43,279 Speaker 1: think it's probably gonna wind up mattering how bad. Like 881 00:53:44,000 --> 00:53:48,080 Speaker 1: I think once we have some more horrific climate disasters. UM, 882 00:53:48,080 --> 00:53:50,680 Speaker 1: it will become more common to see these these companies. 883 00:53:50,760 --> 00:53:55,319 Speaker 1: I I kind of suspect, um, eventually they're going to 884 00:53:55,400 --> 00:53:59,000 Speaker 1: lose that case. UM, not that case, but eventually they're 885 00:53:59,000 --> 00:54:01,960 Speaker 1: going to lose that kind of cultural battle. UM, kind 886 00:54:01,960 --> 00:54:04,919 Speaker 1: of like cigarette companies did. Now cigarette companies are still 887 00:54:04,920 --> 00:54:09,080 Speaker 1: doing fine. UM. So I don't think it matters all 888 00:54:09,120 --> 00:54:15,600 Speaker 1: that much. But uh, I don't know something. Yeah, yeah, 889 00:54:15,640 --> 00:54:19,560 Speaker 1: so apparently yeah, I don't know. I A. I've been 890 00:54:19,640 --> 00:54:24,920 Speaker 1: kind of digging into different chunks of the climate fight, um, 891 00:54:24,960 --> 00:54:27,279 Speaker 1: because there's just so much going on right now. And 892 00:54:27,480 --> 00:54:30,640 Speaker 1: Oregon we have down in southern Oregon and the Klamath 893 00:54:30,840 --> 00:54:36,520 Speaker 1: which is um a farming area. UM, since farmers have 894 00:54:36,600 --> 00:54:39,920 Speaker 1: been getting water from these um the state watershed or 895 00:54:39,960 --> 00:54:43,040 Speaker 1: from this from this river like diverted since nineteen o six. 896 00:54:43,560 --> 00:54:46,080 Speaker 1: But the because there's a huge droute. You know, the 897 00:54:46,080 --> 00:54:49,080 Speaker 1: whole West is in the worst drought in history. UM. 898 00:54:49,360 --> 00:54:52,000 Speaker 1: They they're not the states said you're not getting water 899 00:54:52,080 --> 00:54:56,560 Speaker 1: this year. UM. And it's largely because the indigenous tribes 900 00:54:56,560 --> 00:54:59,719 Speaker 1: in the region have specific rights that they've argued with 901 00:54:59,760 --> 00:55:02,680 Speaker 1: the date um to keep water levels at a certain level. 902 00:55:02,719 --> 00:55:05,400 Speaker 1: To keep this population of salmon that's important to them alive. 903 00:55:05,840 --> 00:55:08,920 Speaker 1: And the farmers have been illegally siphoning water uh and 904 00:55:08,960 --> 00:55:12,600 Speaker 1: now they're getting in trouble um and so they've want 905 00:55:12,719 --> 00:55:15,279 Speaker 1: some group of them have bought some land that that 906 00:55:15,400 --> 00:55:21,400 Speaker 1: abuts the the the basically abuts like where the water 907 00:55:21,840 --> 00:55:25,120 Speaker 1: irrigation stuff starts, um that they can like basically cut 908 00:55:25,120 --> 00:55:28,200 Speaker 1: a fence to gain access and turned back on the 909 00:55:28,239 --> 00:55:31,200 Speaker 1: water flow. And the Bundy's are showing up and they're 910 00:55:31,200 --> 00:55:34,239 Speaker 1: talking about like doing violence and picking up guns and 911 00:55:34,680 --> 00:55:37,239 Speaker 1: fighting to be able to water their crops until the 912 00:55:37,239 --> 00:55:40,719 Speaker 1: water completely runs out and then they're fucked anyway. UM. 913 00:55:40,760 --> 00:55:42,920 Speaker 1: And it's it's you know, it's just kind of the 914 00:55:42,960 --> 00:55:45,560 Speaker 1: first salvo and what are going to be a series 915 00:55:45,600 --> 00:55:50,120 Speaker 1: of escalating water wars kind of undoubtedly UM. And that 916 00:55:50,120 --> 00:55:54,719 Speaker 1: ship is happening like another big aspect of it. We're 917 00:55:54,760 --> 00:55:57,480 Speaker 1: seeing this in um in Brazil right now. Right the 918 00:55:58,400 --> 00:56:00,640 Speaker 1: most of the protest against Bolson yard or over his 919 00:56:00,719 --> 00:56:03,760 Speaker 1: kind of response to COVID nineteen. But probably the worst 920 00:56:03,760 --> 00:56:07,520 Speaker 1: thing he's done has been his commitment to increasing logging 921 00:56:07,719 --> 00:56:11,120 Speaker 1: in the Amazon um because if you look at what 922 00:56:11,160 --> 00:56:14,319 Speaker 1: he's promised to open up to logging. The amount of 923 00:56:14,360 --> 00:56:17,839 Speaker 1: carbon released into the atmosphere from from what Bolson Yaro 924 00:56:17,920 --> 00:56:20,399 Speaker 1: has promised to open up and is continuing to try 925 00:56:20,400 --> 00:56:23,440 Speaker 1: to open up in the Amazon, um would exceed on 926 00:56:23,440 --> 00:56:25,880 Speaker 1: an annual basis the amount of carbon generated by the 927 00:56:25,920 --> 00:56:29,319 Speaker 1: United States and China put together. UM. Like it's a 928 00:56:29,440 --> 00:56:33,879 Speaker 1: it's a massive um increase in emissions because of how 929 00:56:34,000 --> 00:56:38,719 Speaker 1: much carbon the Amazon basically like locks into the earth 930 00:56:38,719 --> 00:56:41,120 Speaker 1: that stops from going into the atmosphere. Yeah, that's so 931 00:56:41,160 --> 00:56:43,719 Speaker 1: a huge thing that we don't pay enough attention to 932 00:56:44,080 --> 00:56:48,040 Speaker 1: just raging. But and there's a there's a number of 933 00:56:48,040 --> 00:56:51,000 Speaker 1: fights going on all throughout South like South America. Latin 934 00:56:51,000 --> 00:56:53,640 Speaker 1: America is going to be one of the major battle 935 00:56:53,680 --> 00:56:57,840 Speaker 1: grounds um because there's in in Chile and Brazil, UM, 936 00:56:57,920 --> 00:57:01,000 Speaker 1: and I think Columbia is well. There are like indigenous 937 00:57:01,080 --> 00:57:04,120 Speaker 1: militias that have been fighting loggers and some of these 938 00:57:04,160 --> 00:57:07,440 Speaker 1: loggers are are technically legal. A lot of them are 939 00:57:07,480 --> 00:57:11,200 Speaker 1: illegal because they're logging in indigenous lands where but there's 940 00:57:11,280 --> 00:57:14,440 Speaker 1: you know, this has been there. There have already been 941 00:57:14,440 --> 00:57:18,960 Speaker 1: people killed, UM and people fighting like with weaponry over 942 00:57:19,240 --> 00:57:21,480 Speaker 1: whether or not they can log chunks of the Amazon, 943 00:57:21,720 --> 00:57:24,480 Speaker 1: and that's going to increase to like we're just kind 944 00:57:24,520 --> 00:57:28,000 Speaker 1: of at the early ramping up level of what I 945 00:57:28,040 --> 00:57:32,560 Speaker 1: think is going to be a pretty significant amount of violence. Uh. 946 00:57:33,160 --> 00:57:36,640 Speaker 1: And again, there's already been fighting over water in a 947 00:57:36,720 --> 00:57:38,400 Speaker 1: number of parts of the world. It's just going to 948 00:57:38,400 --> 00:57:42,640 Speaker 1: get more common. And it's to an extent when I 949 00:57:42,720 --> 00:57:45,360 Speaker 1: keep when I I've spent less time, which is why 950 00:57:45,400 --> 00:57:47,640 Speaker 1: I kind of fumbled on it looking about like the 951 00:57:47,760 --> 00:57:51,360 Speaker 1: legal challenges in the United States to these companies, because 952 00:57:51,360 --> 00:57:55,840 Speaker 1: in some ways that's like, um, that's like trying to 953 00:57:55,880 --> 00:58:00,480 Speaker 1: treat lung cancer by taking cough drops. Um. Because it's 954 00:58:00,480 --> 00:58:04,080 Speaker 1: like the the actual problems and most of the impact 955 00:58:04,160 --> 00:58:08,040 Speaker 1: of them is occurring overseas, Like the US has only 956 00:58:08,120 --> 00:58:10,720 Speaker 1: now started to really when when the fires hit bad 957 00:58:10,760 --> 00:58:12,680 Speaker 1: and when some of the storms git bad, that's when 958 00:58:12,720 --> 00:58:15,640 Speaker 1: most people have started to notice there's a problem, as 959 00:58:15,680 --> 00:58:19,040 Speaker 1: opposed to places overseas that have been, you know, because 960 00:58:19,120 --> 00:58:22,280 Speaker 1: they have less resources because they're less insulated from changes 961 00:58:22,280 --> 00:58:24,800 Speaker 1: in climate, have been increasingly Like that's part of a 962 00:58:24,800 --> 00:58:26,920 Speaker 1: big part of why we're seeing such an increase in 963 00:58:27,000 --> 00:58:33,040 Speaker 1: undocumented immigrations. When we talk about immigration, we fail to 964 00:58:33,080 --> 00:58:37,320 Speaker 1: talk about consistently the myriad of different things that are 965 00:58:37,360 --> 00:58:40,800 Speaker 1: fueling it, and how that if we really want to 966 00:58:42,840 --> 00:58:52,919 Speaker 1: help people to survive, we have to address these fundamental needs. Yeah, 967 00:58:53,120 --> 00:58:57,840 Speaker 1: and and the fighting. I don't know. I the longer 968 00:58:57,960 --> 00:58:59,840 Speaker 1: I think about it, the more I am on this 969 00:59:00,040 --> 00:59:03,520 Speaker 1: id that like, like, I'm not against the court cases 970 00:59:04,040 --> 00:59:06,520 Speaker 1: against these fossil fuel companies. I'm not against you know, 971 00:59:06,600 --> 00:59:11,040 Speaker 1: these activist investors trying to change things. I'm certainly um 972 00:59:11,080 --> 00:59:13,160 Speaker 1: not going to to tell them not to do that. 973 00:59:13,200 --> 00:59:16,880 Speaker 1: Are not going to say that's pointless. But from where 974 00:59:16,920 --> 00:59:20,880 Speaker 1: I'm standing, I think the most important parts of the 975 00:59:20,920 --> 00:59:24,920 Speaker 1: fight are going to happen on the ground between human beings. 976 00:59:25,520 --> 00:59:27,560 Speaker 1: And uh, I just don't I just don't see any 977 00:59:27,600 --> 00:59:29,240 Speaker 1: way around that at this point. I don't know. That's 978 00:59:29,280 --> 00:59:32,560 Speaker 1: kind of what I'm planning to spend my summer looking into. 979 00:59:32,680 --> 00:59:35,200 Speaker 1: So I guess we'll see if my opinions on it 980 00:59:35,320 --> 00:59:40,919 Speaker 1: change once I've uh dug in a little bit more. Um. 981 00:59:41,080 --> 00:59:43,960 Speaker 1: But I'm reading a real good book right now called 982 00:59:43,960 --> 00:59:47,880 Speaker 1: Our Uninhabitable Earth. Um that is, you know, from a 983 00:59:47,880 --> 00:59:50,200 Speaker 1: guy who's not at all the climate activist, who admits 984 00:59:50,200 --> 00:59:52,120 Speaker 1: at the start that like, if human beings weren't going 985 00:59:52,160 --> 00:59:54,960 Speaker 1: to be affected so much. He wouldn't really care that 986 00:59:55,040 --> 01:00:00,400 Speaker 1: much about natural habitats being damaged. Um. But and so 987 01:00:00,480 --> 01:00:04,880 Speaker 1: thus a very uh, not activist and not alarmist. Look 988 01:00:04,960 --> 01:00:07,880 Speaker 1: at what's going to be happening, And of course it's 989 01:00:07,960 --> 01:00:12,440 Speaker 1: it's terrifying because the actual just basic. If you're like it, 990 01:00:12,360 --> 01:00:14,800 Speaker 1: it's it's it's if you look at the information, the 991 01:00:14,880 --> 01:00:20,640 Speaker 1: fact it's not good. Um, you're looking at it reasonably. Yeah, 992 01:00:20,680 --> 01:00:23,480 Speaker 1: And I'm thinking I'm going to try and get the 993 01:00:23,480 --> 01:00:25,400 Speaker 1: book in the hands of some of my um, some 994 01:00:25,480 --> 01:00:28,680 Speaker 1: of my family members who are are you know have admitted, well, yeah, 995 01:00:28,720 --> 01:00:30,800 Speaker 1: of course it's happening. But I think it's you know, 996 01:00:30,840 --> 01:00:33,120 Speaker 1: there's not really agreement on how bad it's going to 997 01:00:33,120 --> 01:00:35,720 Speaker 1: be and all this stuff. That's Yeah, I think it's 998 01:00:35,720 --> 01:00:37,960 Speaker 1: a good because he's not coming at it from a 999 01:00:38,520 --> 01:00:40,200 Speaker 1: because he's coming at it from a look I wouldn't 1000 01:00:40,200 --> 01:00:41,920 Speaker 1: care so much about this if it wasn't going to 1001 01:00:41,960 --> 01:00:44,960 Speaker 1: impact human society standpoint. I think it might be a 1002 01:00:45,000 --> 01:00:51,600 Speaker 1: good book to be for. Um, I don't know, Uh, 1003 01:00:51,640 --> 01:00:55,160 Speaker 1: that's all I got for today. Yeah, I think that's 1004 01:00:55,160 --> 01:00:59,440 Speaker 1: a that's a that's a cast we've potted. You can't 1005 01:00:59,440 --> 01:01:02,960 Speaker 1: stop it. You wouldn't stop stop the pods, can't stop, 1006 01:01:03,000 --> 01:01:07,000 Speaker 1: won't stop until next week, can't cast the pods. An 1007 01:01:07,800 --> 01:01:11,080 Speaker 1: I guess you can stop it because once the episode 1008 01:01:11,120 --> 01:01:12,720 Speaker 1: is over, you can just hit stop and then it 1009 01:01:12,720 --> 01:01:15,200 Speaker 1: will be over. I mean you, the listener, can stop 1010 01:01:15,200 --> 01:01:17,880 Speaker 1: it whenever you want. Yeah, yeah, you have the power. 1011 01:01:18,560 --> 01:01:21,760 Speaker 1: You're right, you have the power. But I don't use 1012 01:01:21,800 --> 01:01:23,760 Speaker 1: don't use the power. Don't use the don't for the 1013 01:01:23,800 --> 01:01:28,680 Speaker 1: love of God, don't do it. It's like that TikTok commercial. TikTok, TikTok. 1014 01:01:29,280 --> 01:01:32,560 Speaker 1: Can you read about a TikTok? Of course? Of course 1015 01:01:32,760 --> 01:01:36,280 Speaker 1: should you know? Of course not. Don't do it. We'll TikTok. 1016 01:01:36,280 --> 01:01:38,440 Speaker 1: Don't you fucking do it? You know you can end 1017 01:01:38,480 --> 01:01:51,480 Speaker 1: this episode. I Worst Year Ever is a production of 1018 01:01:51,480 --> 01:01:54,240 Speaker 1: I Heart Radio. For more podcasts from my Heart Radio, 1019 01:01:54,360 --> 01:01:57,320 Speaker 1: visit the I heart Radio app, Apple Podcasts, or wherever 1020 01:01:57,360 --> 01:01:58,720 Speaker 1: you listen to your favorite shows.