1 00:00:00,520 --> 00:00:03,400 Speaker 1: Hello the Internet, and welcome to Season to forty six, 2 00:00:03,440 --> 00:00:06,800 Speaker 1: Episode four of dart at Leys Like Guys Stay production 3 00:00:06,800 --> 00:00:09,440 Speaker 1: of I Heart Radio. This is a podcast where we 4 00:00:09,520 --> 00:00:14,000 Speaker 1: take a deep dive into America's shared consciousness. It's Thursday, 5 00:00:14,400 --> 00:00:19,919 Speaker 1: July any anything for the people? Miles, Oh, yeah, I 6 00:00:19,920 --> 00:00:24,680 Speaker 1: mean it's National be Someone Day. Yes, I don't know 7 00:00:24,800 --> 00:00:31,240 Speaker 1: what trumpels the best day, the best day, just vague platitudes. 8 00:00:31,360 --> 00:00:33,600 Speaker 1: Love it. So what the way they say is take 9 00:00:33,640 --> 00:00:38,160 Speaker 1: ten seconds to make a difference in the child's life. Yeah, 10 00:00:38,159 --> 00:00:39,800 Speaker 1: So I mean you could do that by like not 11 00:00:39,840 --> 00:00:43,680 Speaker 1: maybe not even meat orsentially you don't have kids around, 12 00:00:43,680 --> 00:00:45,360 Speaker 1: you know, like you're like like, I'm not gonna pull 13 00:00:45,440 --> 00:00:48,839 Speaker 1: up to the elementary. Hey man, you got ten seconds, 14 00:00:48,880 --> 00:00:51,960 Speaker 1: Like so maybe I'll do a more abstract contribution to 15 00:00:52,000 --> 00:00:56,120 Speaker 1: the future, to the future and ending climate change exactly, 16 00:00:56,440 --> 00:00:59,320 Speaker 1: and then also tens but with odd though two on 17 00:00:59,360 --> 00:01:01,400 Speaker 1: the other side of the I'm I'm I'm like that 18 00:01:01,480 --> 00:01:03,880 Speaker 1: meme where the guys like got two buttons to smash 19 00:01:03,920 --> 00:01:06,760 Speaker 1: and he's sweating because the other button is either National 20 00:01:06,840 --> 00:01:08,240 Speaker 1: bes on one day and do something to make a 21 00:01:08,240 --> 00:01:11,759 Speaker 1: difference in a child's life or National junk Food day, yes, 22 00:01:12,640 --> 00:01:14,559 Speaker 1: in which we're going to talk about some junk food 23 00:01:14,600 --> 00:01:17,759 Speaker 1: a little bit later on Happy National Junk Food Day. 24 00:01:17,800 --> 00:01:23,840 Speaker 1: Skittles are poison maybe probably, I mean they've they've been 25 00:01:23,840 --> 00:01:29,319 Speaker 1: made illegal in other countries that pay attention to such things. 26 00:01:29,319 --> 00:01:32,840 Speaker 1: So a little little teas up top. But first you 27 00:01:32,959 --> 00:01:36,080 Speaker 1: must know my name is Jack O'Brien a kit Hello 28 00:01:36,319 --> 00:01:41,800 Speaker 1: from the Lambeau side. I must have tried a thousand 29 00:01:42,080 --> 00:01:48,000 Speaker 1: times to ask you that question, how are you get 30 00:01:48,000 --> 00:01:53,400 Speaker 1: to Lambo? When I asked you never seem to be home? 31 00:01:53,520 --> 00:01:56,919 Speaker 1: That is a reference two miles yesterday asking the question 32 00:01:56,960 --> 00:01:59,400 Speaker 1: that's on all our minds. How are you get to Lambeau? 33 00:01:59,480 --> 00:02:02,560 Speaker 1: Are you get to Lambo? Yeah? Shout out to Lex 34 00:02:02,640 --> 00:02:06,040 Speaker 1: Lugie for that ak for respecting the pipes knowing that 35 00:02:06,080 --> 00:02:08,160 Speaker 1: I had it in me. And I'm thrilled to be 36 00:02:08,240 --> 00:02:11,760 Speaker 1: joined as always by my co host Mr Miles Grass. 37 00:02:13,720 --> 00:02:22,160 Speaker 1: The sharks have come, Those turtles are done now. I'm 38 00:02:22,320 --> 00:02:27,000 Speaker 1: Miles and I don't fear tuna. Despite the unidentified DNA. 39 00:02:27,600 --> 00:02:31,919 Speaker 1: We can eat yoga mats, Come on, subway. Don't fear 40 00:02:32,000 --> 00:02:36,320 Speaker 1: the tuna. Let's go eat fish spread. Don't fear the tuna. 41 00:02:36,760 --> 00:02:40,600 Speaker 1: All those turtles must I don't fear the tuna. I 42 00:02:40,639 --> 00:02:44,480 Speaker 1: swear that it's bread O. Cat's a fighter of the nightmare. 43 00:02:46,000 --> 00:02:48,959 Speaker 1: They're catching sharks and turtles. That's why the subway tuna 44 00:02:49,040 --> 00:02:52,360 Speaker 1: is hitting all kinds of numbers on those tests and trash, 45 00:02:52,639 --> 00:02:55,760 Speaker 1: because it's part turtle, part shark, and I do like that. 46 00:02:55,800 --> 00:02:59,400 Speaker 1: Our Our response was less about like, oh man, I 47 00:02:59,440 --> 00:03:04,560 Speaker 1: love turtle. That that's some messed up in more like turtles. Gross? 48 00:03:04,760 --> 00:03:07,480 Speaker 1: What else he's in there? I said, I mean, culturally 49 00:03:07,480 --> 00:03:11,160 Speaker 1: turtles the delicacy in Japan. You know, I didn't. I haven't. 50 00:03:11,200 --> 00:03:12,720 Speaker 1: I didn't eat it much, but it's a little too 51 00:03:12,760 --> 00:03:15,560 Speaker 1: chewy for me to be honest. Mhm. Now I'm kind 52 00:03:15,560 --> 00:03:18,359 Speaker 1: of wondering what else is in there? Yeah, I mean 53 00:03:19,040 --> 00:03:23,120 Speaker 1: food surprise, Yeah, exactly. I think that's what subways seafood surprise. 54 00:03:23,240 --> 00:03:28,520 Speaker 1: So I'm down with that fishing boat mash just whatever 55 00:03:28,639 --> 00:03:32,400 Speaker 1: whatever can hit the deck after they emptied the trawler. Yeah, 56 00:03:32,720 --> 00:03:35,160 Speaker 1: even things that are inedible they just wrote in their 57 00:03:35,200 --> 00:03:39,920 Speaker 1: fucking I mean yeah, Well, Miles, we are thrilled and 58 00:03:40,080 --> 00:03:43,680 Speaker 1: fortunate to be joined by that voice that y'all just heard. 59 00:03:43,680 --> 00:03:46,280 Speaker 1: A very funny comedian activist. She's the host of the 60 00:03:46,320 --> 00:03:50,000 Speaker 1: great award winning podcast Good Muslim, Bad Muslim, the Senior 61 00:03:50,080 --> 00:03:53,280 Speaker 1: Fellow on Comedy at the Pop Culture Collapse. She's written 62 00:03:53,280 --> 00:03:56,280 Speaker 1: in The New York Times, wrote and performed a piece 63 00:03:56,360 --> 00:04:00,680 Speaker 1: for some lady named Terry Gross on NPR Fresh Air. 64 00:04:01,040 --> 00:04:07,320 Speaker 1: It's the hilarious and talents our Norma. I was raised 65 00:04:07,440 --> 00:04:14,880 Speaker 1: on the ten second route. If Okay, if you lick 66 00:04:15,040 --> 00:04:28,200 Speaker 1: a skitter, it's poison. Did no, and your life has pended. Okay, 67 00:04:28,240 --> 00:04:30,880 Speaker 1: we gotta we gotta, we gotta vocal battle going. Damn. 68 00:04:31,720 --> 00:04:37,920 Speaker 1: That was beautiful. Thank you huge? Oh you are. Skittles 69 00:04:38,040 --> 00:04:45,800 Speaker 1: represents queerness, represents diversity, represents eighty suburban life represents my 70 00:04:46,000 --> 00:04:53,440 Speaker 1: non diet, represents convenience store solidarity. Snack right right right, okay, Okay, 71 00:04:53,640 --> 00:04:55,599 Speaker 1: well the good I have some good news. I don't 72 00:04:55,600 --> 00:04:57,640 Speaker 1: think it works so quickly that you lick it and 73 00:04:57,680 --> 00:05:01,000 Speaker 1: immediately die. I think it'll take, you know, at least 74 00:05:01,000 --> 00:05:05,120 Speaker 1: a gauge for the nanoparticles, a word that I just 75 00:05:05,400 --> 00:05:10,839 Speaker 1: learned while researching and reading up on this story. Nanoparticles 76 00:05:11,000 --> 00:05:13,600 Speaker 1: which can travel to parts of your body that other 77 00:05:13,960 --> 00:05:18,799 Speaker 1: molecules can't reach. And uh, there might be poisonous. Whatever 78 00:05:19,440 --> 00:05:22,560 Speaker 1: I mean, I'm out here eating turtles. Man. The problem 79 00:05:22,640 --> 00:05:25,560 Speaker 1: is Jack, that when you told me that, I tweeted 80 00:05:25,600 --> 00:05:29,480 Speaker 1: it and I instagrammed it right away, I didn't notice 81 00:05:29,480 --> 00:05:34,960 Speaker 1: you were busy before we family chat in Iran. So 82 00:05:35,440 --> 00:05:38,200 Speaker 1: spit out those skittles. Look, I know you guys got 83 00:05:38,240 --> 00:05:40,680 Speaker 1: some some maybe something going on over there the skittles, 84 00:05:40,720 --> 00:05:43,960 Speaker 1: though I don't like. I think Iran might be safe 85 00:05:44,000 --> 00:05:51,120 Speaker 1: because they generally feel yeah Europe. Do you know how 86 00:05:51,160 --> 00:05:55,440 Speaker 1: many times my relatives in Iran instagram dm me, are 87 00:05:55,480 --> 00:05:59,560 Speaker 1: you guys okay over there? No? Right? No? Or not? 88 00:06:01,040 --> 00:06:07,560 Speaker 1: Every day? Are you okay? Valid question? Fair enough? All right, Well, Zar, 89 00:06:07,640 --> 00:06:09,000 Speaker 1: we're going to get to know you a little bit 90 00:06:09,000 --> 00:06:10,840 Speaker 1: better in a moment. First, we're gonna tell our listeners 91 00:06:10,839 --> 00:06:14,680 Speaker 1: a couple of the things that we're talking about today. 92 00:06:14,800 --> 00:06:18,000 Speaker 1: We are talking European heat wave. There. There was like 93 00:06:18,040 --> 00:06:22,160 Speaker 1: a hypothetical news report from a few years back where 94 00:06:22,200 --> 00:06:26,279 Speaker 1: they were like, what if, what like, what it's gonna 95 00:06:26,279 --> 00:06:28,960 Speaker 1: look like if climate change keeps up at this rate? 96 00:06:29,040 --> 00:06:31,040 Speaker 1: Here's what the weather report is going to look like 97 00:06:31,040 --> 00:06:34,520 Speaker 1: in and it's basically what it looks like right now. 98 00:06:36,320 --> 00:06:38,560 Speaker 1: Might be ahead of the curve and one of those 99 00:06:38,600 --> 00:06:40,279 Speaker 1: things you don't want to be ahead of the curve 100 00:06:40,360 --> 00:06:44,120 Speaker 1: in And we will of course discuss whether skittles are poison. 101 00:06:45,279 --> 00:06:47,440 Speaker 1: I see, save the most important for the end. I 102 00:06:47,520 --> 00:06:53,640 Speaker 1: understand exactly all that plenty more. But first, Zara, we 103 00:06:53,760 --> 00:06:56,800 Speaker 1: like to ask our guests, what is something from your 104 00:06:57,000 --> 00:07:04,080 Speaker 1: search history, X file script. Baby, you're just trying to 105 00:07:04,279 --> 00:07:06,600 Speaker 1: some late bedtime reading or what are we looking for? 106 00:07:06,880 --> 00:07:13,080 Speaker 1: The truth is out there? Yes, oh my god. Okay. 107 00:07:13,160 --> 00:07:16,760 Speaker 1: It started with me trying to write a pilot about 108 00:07:17,320 --> 00:07:21,800 Speaker 1: magic and wanting to make it a noir, and now 109 00:07:21,880 --> 00:07:24,400 Speaker 1: it has become that I only hang out with Scully 110 00:07:24,440 --> 00:07:28,400 Speaker 1: and Molder and I don't read the news and I 111 00:07:28,560 --> 00:07:31,840 Speaker 1: stopped posting on my Twitter and it's because I'm just 112 00:07:31,920 --> 00:07:35,320 Speaker 1: hanging out with Scully and Moulder and we have a 113 00:07:35,360 --> 00:07:41,559 Speaker 1: lot of things to do and read. Well. You see, 114 00:07:41,680 --> 00:07:44,360 Speaker 1: when you have an obsession, you have to justify it, 115 00:07:44,840 --> 00:07:50,280 Speaker 1: m okay yeah. And so it's research that I'm doing 116 00:07:50,520 --> 00:07:55,680 Speaker 1: heavy research and it's valid and it requires me engaging 117 00:07:55,720 --> 00:07:57,800 Speaker 1: with it in the mornings as well, because I have 118 00:07:57,960 --> 00:08:00,240 Speaker 1: to read the pros and action lines and just like 119 00:08:00,320 --> 00:08:03,120 Speaker 1: really up my game as a writer, and that's why 120 00:08:03,240 --> 00:08:06,280 Speaker 1: it's all that I do. Wait, so there's is there? 121 00:08:06,640 --> 00:08:09,000 Speaker 1: So there's something about X file scripts that kind of 122 00:08:09,400 --> 00:08:12,600 Speaker 1: that you admire, that you you see they're like that 123 00:08:12,640 --> 00:08:15,240 Speaker 1: you're just trying to add out there. I mean, you 124 00:08:15,240 --> 00:08:17,880 Speaker 1: can't keep saying that or else it happens and I'm 125 00:08:17,920 --> 00:08:21,480 Speaker 1: gonna find it. So do you think X files because 126 00:08:21,520 --> 00:08:23,240 Speaker 1: we talk a lot about how even though we're not 127 00:08:23,320 --> 00:08:26,000 Speaker 1: like Big Track eas here Star Treks model of the 128 00:08:26,080 --> 00:08:29,920 Speaker 1: universe is like one that got me started on that 129 00:08:30,080 --> 00:08:32,720 Speaker 1: go ahead, I at least subscribe to. I think we 130 00:08:32,800 --> 00:08:36,120 Speaker 1: might be, you know, just we're being frozen out because 131 00:08:36,120 --> 00:08:39,080 Speaker 1: we haven't hit a level yet. But there's there's definitely 132 00:08:39,120 --> 00:08:42,679 Speaker 1: aliens who know about us and are just like I 133 00:08:42,720 --> 00:08:46,480 Speaker 1: didn't weren't they like, oh yeah, and aliens are real 134 00:08:46,840 --> 00:08:50,120 Speaker 1: keep going yeah exactly. So my theory because they're not 135 00:08:50,240 --> 00:08:52,520 Speaker 1: trying to kill us as as far as we know, 136 00:08:53,360 --> 00:08:55,240 Speaker 1: the only thing they could be doing is just like 137 00:08:55,280 --> 00:08:58,040 Speaker 1: waiting for us to hit a certain level. I don't know, 138 00:08:58,120 --> 00:09:01,000 Speaker 1: Like I said, we're there a reality TV. Yeah, they're 139 00:09:01,000 --> 00:09:03,600 Speaker 1: why they're like using us for entertainment actually makes a 140 00:09:03,600 --> 00:09:09,040 Speaker 1: lot of sense. They're killing themselves. Aliens are watching like 141 00:09:09,120 --> 00:09:11,600 Speaker 1: they're doing the thing where they burn the ship that 142 00:09:11,640 --> 00:09:16,360 Speaker 1: makes the planet die, and you're doing more of it again, sir, 143 00:09:16,440 --> 00:09:19,240 Speaker 1: it's not a step in now, sir, Please, sir. I 144 00:09:19,360 --> 00:09:24,920 Speaker 1: know this is gonna be hilarious. They're gonna get They're 145 00:09:25,000 --> 00:09:30,800 Speaker 1: just watching the sweat walking our dogs a little bit longer, Okay. 146 00:09:30,920 --> 00:09:34,800 Speaker 1: As a person from a destabilized nation, now two of them, 147 00:09:35,480 --> 00:09:40,320 Speaker 1: the United States and Iran. Yeah, there is this sensation 148 00:09:40,360 --> 00:09:43,280 Speaker 1: that you feel in the thick of destabilization where you 149 00:09:43,280 --> 00:09:51,079 Speaker 1: are begging for an alien abduction, right right, That experience 150 00:09:52,280 --> 00:09:58,760 Speaker 1: is colonization, right, Oh god, that's colonization. Colonization is us 151 00:09:58,960 --> 00:10:02,760 Speaker 1: begging for some other country with infrastructure to step in 152 00:10:02,840 --> 00:10:09,400 Speaker 1: and face exactly. So I'm like meta fascinated by my 153 00:10:09,480 --> 00:10:14,960 Speaker 1: own desperation. Yeah. Wow. Do you feel like that is 154 00:10:15,000 --> 00:10:17,360 Speaker 1: the urge that has bringing you to the X Files 155 00:10:17,440 --> 00:10:20,640 Speaker 1: or you like, are you just a fan of Molder 156 00:10:20,679 --> 00:10:22,959 Speaker 1: and Scully and the will they won't they have at all? 157 00:10:23,080 --> 00:10:25,520 Speaker 1: A little bit? Glad you asked. Let me begin with 158 00:10:25,559 --> 00:10:34,000 Speaker 1: the three hour answer. My husband thinks that it is 159 00:10:34,120 --> 00:10:40,240 Speaker 1: my relationship to narcissistic hot women. Mm hmm. That draws 160 00:10:40,360 --> 00:10:45,000 Speaker 1: me into Molder's quest your husband also your therapist. That's 161 00:10:45,000 --> 00:10:53,600 Speaker 1: sounds like deep analysis that this is a pandemic pandemic relationship, right, 162 00:10:54,240 --> 00:10:56,480 Speaker 1: I feel like you gotta level up, folks, if you 163 00:10:56,559 --> 00:11:00,520 Speaker 1: haven't already become therapists for each other and this, you 164 00:11:00,640 --> 00:11:03,880 Speaker 1: gotta level up if you haven't said, I can see 165 00:11:03,880 --> 00:11:06,839 Speaker 1: how that would echo things from your relationship with your 166 00:11:06,880 --> 00:11:12,240 Speaker 1: father in the pandemic are y all together? I mean 167 00:11:12,360 --> 00:11:16,880 Speaker 1: understand why that upset At this point, we just have 168 00:11:16,920 --> 00:11:22,600 Speaker 1: a deck of cards called shadow Material Questions and the 169 00:11:22,720 --> 00:11:25,680 Speaker 1: X What what's on the cards? What's on the cards? 170 00:11:25,880 --> 00:11:30,720 Speaker 1: Just pictures of skittles, Yeah, and the like. This is 171 00:11:30,800 --> 00:11:32,679 Speaker 1: this is stuff that takes you to a dark place 172 00:11:32,800 --> 00:11:35,960 Speaker 1: as a couple. It takes us to a it takes 173 00:11:36,000 --> 00:11:38,240 Speaker 1: us to a dark place, but then you come out 174 00:11:38,280 --> 00:11:42,680 Speaker 1: of it even more ameshed and even more codependent. Oh 175 00:11:43,040 --> 00:11:45,320 Speaker 1: that sounds fantastic, which is what we're all looking for. 176 00:11:46,520 --> 00:11:50,520 Speaker 1: All right, favorite X Files episode just off off the 177 00:11:50,520 --> 00:11:53,240 Speaker 1: writ Oh my god, it's got to be Bad Blood, 178 00:11:53,960 --> 00:11:58,920 Speaker 1: the vampire spoof one with with the other Wilson brother. 179 00:11:59,040 --> 00:12:03,920 Speaker 1: Oh no, I forgot it, Luke, Yes, damn, that's gonna 180 00:12:03,920 --> 00:12:07,120 Speaker 1: be tough on Luke. To this day, he's probably been 181 00:12:07,160 --> 00:12:09,600 Speaker 1: in more movies than that one, but he's always going 182 00:12:09,640 --> 00:12:13,440 Speaker 1: to be the other Wilson brother. Okay, all right, I didn't. 183 00:12:13,480 --> 00:12:15,200 Speaker 1: I gotta I gotta check that one out. What is 184 00:12:15,480 --> 00:12:21,040 Speaker 1: what is something you think is under rated? Okay? Maternity leave? 185 00:12:21,840 --> 00:12:25,160 Speaker 1: M hm m hm. We are trying to have a 186 00:12:25,160 --> 00:12:32,440 Speaker 1: little Zara specifically, Yeah, a couple of little Zas. It 187 00:12:32,480 --> 00:12:37,240 Speaker 1: has been a journey. Last time I saw y'all, I 188 00:12:37,320 --> 00:12:42,959 Speaker 1: didn't know that I had had two out of three miscarriages. 189 00:12:43,559 --> 00:12:45,640 Speaker 1: Oh my god, I'm sorry that I would then come 190 00:12:45,679 --> 00:12:50,120 Speaker 1: to have thank you. Yeah, that's why I was depressed. 191 00:12:50,480 --> 00:12:53,640 Speaker 1: I didn't know because it just I just had like 192 00:12:53,679 --> 00:12:58,599 Speaker 1: the hormone dump and I I felt horrendous and I 193 00:12:58,640 --> 00:13:00,200 Speaker 1: didn't know what was wrong with me. And I just 194 00:13:00,200 --> 00:13:03,800 Speaker 1: thought I had like a regular periods and ship and 195 00:13:03,880 --> 00:13:05,760 Speaker 1: I was like, I don't know what my problem is, 196 00:13:05,800 --> 00:13:07,920 Speaker 1: and I was being so mean to myself. And then 197 00:13:07,920 --> 00:13:13,720 Speaker 1: I find this out and I'm like yo, hm and uh. 198 00:13:14,240 --> 00:13:17,240 Speaker 1: And so it's been this journey trying to figure it 199 00:13:17,240 --> 00:13:19,960 Speaker 1: out because I also have thyroid disease and that complicates 200 00:13:20,000 --> 00:13:24,679 Speaker 1: pregnancy and like my whole life. I thought forty year 201 00:13:24,679 --> 00:13:29,040 Speaker 1: old me could handle everything, and I pushed everything into 202 00:13:29,040 --> 00:13:33,160 Speaker 1: the future basket of forty year old Zara, But she'll 203 00:13:33,160 --> 00:13:36,400 Speaker 1: deal with that. When I was in my thirties ambivalent 204 00:13:36,440 --> 00:13:39,440 Speaker 1: about corporate job, forty year olds are has got this 205 00:13:40,120 --> 00:13:42,800 Speaker 1: ambivalent about kids? Forty year olds are has got this 206 00:13:43,640 --> 00:13:46,520 Speaker 1: ambivalent about moving to Like forty year olds are hast 207 00:13:47,400 --> 00:13:53,440 Speaker 1: like right, like it gets easier and uh, most I 208 00:13:53,559 --> 00:13:57,320 Speaker 1: realized most of my putting it off was because I 209 00:13:57,400 --> 00:14:00,040 Speaker 1: never was in a job with real maternity leave. It 210 00:14:00,160 --> 00:14:03,600 Speaker 1: I could like rely on to take care of myself, 211 00:14:04,880 --> 00:14:07,360 Speaker 1: you know, it's just like something we take for granted, right, 212 00:14:08,840 --> 00:14:10,400 Speaker 1: And when I was coming on, I was like, what's 213 00:14:10,480 --> 00:14:13,280 Speaker 1: my underrated gonna be? Like how am I going to 214 00:14:13,400 --> 00:14:16,679 Speaker 1: frame this? You know? And I was like, everybody, just 215 00:14:16,720 --> 00:14:19,520 Speaker 1: have kids as soon as you can. Don't wait figure 216 00:14:19,520 --> 00:14:21,880 Speaker 1: it out later. Don't leave it to forty year old self. No, 217 00:14:22,600 --> 00:14:28,760 Speaker 1: you're never gonna have more downtime than high school folks. Listen, 218 00:14:30,280 --> 00:14:34,400 Speaker 1: summer just planet for a high school summer. Yeah. Yeah, 219 00:14:34,440 --> 00:14:36,560 Speaker 1: And then I was like, no, you know what it is. 220 00:14:36,600 --> 00:14:39,360 Speaker 1: In my thirties, I didn't have any kind of infrastructural 221 00:14:39,400 --> 00:14:44,040 Speaker 1: support to make those choices. Yeah, I mean there's so yeah, 222 00:14:44,080 --> 00:14:47,440 Speaker 1: there's so much of there are so many factors like 223 00:14:47,480 --> 00:14:49,040 Speaker 1: that when most people like I don't know if I'm 224 00:14:49,080 --> 00:14:52,120 Speaker 1: gonna have kids, Like wait, I've actually been too poor 225 00:14:52,240 --> 00:14:54,480 Speaker 1: to have a kid in a way that I think 226 00:14:54,480 --> 00:14:57,800 Speaker 1: wouldn't make me feel super stressed out about, like sustaining 227 00:14:57,840 --> 00:15:02,000 Speaker 1: another life form. Plus do you have you like given 228 00:15:02,040 --> 00:15:04,920 Speaker 1: your energy to like an employer who was like, I 229 00:15:04,960 --> 00:15:08,000 Speaker 1: will give you the humane things you need. You know, 230 00:15:08,080 --> 00:15:11,000 Speaker 1: it's like balancing act of all those things, right, And 231 00:15:11,040 --> 00:15:16,080 Speaker 1: I think we have to know that we're not entitled 232 00:15:16,080 --> 00:15:22,080 Speaker 1: to any kind of alien ship abduction hero rescue. We 233 00:15:22,200 --> 00:15:27,720 Speaker 1: gotta do that mothership rescue at our jobs, gotta mothership 234 00:15:27,800 --> 00:15:32,320 Speaker 1: rescue ourselves. We gotta like we have to turn the place, 235 00:15:32,440 --> 00:15:36,600 Speaker 1: the spaces that were in, we have to turn them around. 236 00:15:37,040 --> 00:15:40,840 Speaker 1: M Yeah, well, I mean yeah, that's why it's it's 237 00:15:40,840 --> 00:15:44,360 Speaker 1: always amazing to see again when people always the ignorant Americans, 238 00:15:44,400 --> 00:15:46,920 Speaker 1: like we're the number one. You're like not like we're 239 00:15:46,960 --> 00:15:49,600 Speaker 1: pretty much at the back of the line for everything, 240 00:15:49,640 --> 00:15:52,600 Speaker 1: And like when you look at parental leave, it's yeah, 241 00:15:52,800 --> 00:15:55,320 Speaker 1: you're like, oh, I think, oh that makes sense. We 242 00:15:55,400 --> 00:15:57,640 Speaker 1: live in like the grossest place, but we just have 243 00:15:57,720 --> 00:16:01,160 Speaker 1: the cheapest consumer goods. Oh my god. Some of my 244 00:16:01,240 --> 00:16:05,280 Speaker 1: family moved to London m because they can do that. 245 00:16:06,560 --> 00:16:10,040 Speaker 1: They were like, we're out of here and there mixed race, 246 00:16:10,480 --> 00:16:16,120 Speaker 1: black and Persian, Blursian, and like half of it was 247 00:16:16,200 --> 00:16:21,480 Speaker 1: to settle the question of like private school, public school, 248 00:16:21,800 --> 00:16:24,840 Speaker 1: charter school. Because they wanted the arts for their daughters. 249 00:16:25,080 --> 00:16:29,560 Speaker 1: They moved to London and it's all included, right, it's 250 00:16:29,560 --> 00:16:33,160 Speaker 1: all included. Like their expenses, their monthly expenses in the 251 00:16:33,200 --> 00:16:38,480 Speaker 1: Bay Area were like four thousand dollars for rent, five 252 00:16:38,520 --> 00:16:46,480 Speaker 1: thousand dollars tuition. Yeah, yeah, so how can we and 253 00:16:46,520 --> 00:16:48,880 Speaker 1: then and then battle racism on top of that, like 254 00:16:49,000 --> 00:16:53,000 Speaker 1: come on the flat screen TV. Flat screen TVs are 255 00:16:53,360 --> 00:16:57,920 Speaker 1: very viable flat screen but also everywhere, Yeah, you can 256 00:16:57,920 --> 00:17:01,280 Speaker 1: get that everywhere. It's just like when compared previous generations, 257 00:17:01,400 --> 00:17:05,080 Speaker 1: that's the one thing that is better is consumer electric. 258 00:17:05,200 --> 00:17:07,719 Speaker 1: Someone tweeted something. It's like, if I forget who it was, 259 00:17:07,760 --> 00:17:10,240 Speaker 1: I just said laughed. But they're like it's they're they're like, 260 00:17:10,280 --> 00:17:12,000 Speaker 1: it's wild to me that you can buy a flat 261 00:17:12,080 --> 00:17:15,159 Speaker 1: screen TV for three dollars, but for the same amount 262 00:17:15,160 --> 00:17:17,879 Speaker 1: of money you will get the shittiest dresser or table. 263 00:17:18,680 --> 00:17:21,520 Speaker 1: Oh yeah, yeah, And it's like that's so true, like 264 00:17:21,560 --> 00:17:25,199 Speaker 1: the level of craftsmanship, especially with like furniture, because like 265 00:17:25,200 --> 00:17:28,000 Speaker 1: we're us so much like you know, like uh, fiber 266 00:17:28,119 --> 00:17:30,560 Speaker 1: board and like not real solid wood and ship like 267 00:17:30,600 --> 00:17:35,080 Speaker 1: that just to like have cheap, quick furniture. Uh yeah, different, Yeah, 268 00:17:35,080 --> 00:17:38,080 Speaker 1: you gotta buy from previous generations. Oh yeah, that's what 269 00:17:38,080 --> 00:17:40,680 Speaker 1: I'm like. Yeah, when you look at like vintage furniture, like, oh, 270 00:17:40,720 --> 00:17:42,320 Speaker 1: it's not because I like the looks like, look, this 271 00:17:42,400 --> 00:17:47,240 Speaker 1: ship will fucking go forever. Right. Also, I have to say, 272 00:17:47,720 --> 00:17:54,320 Speaker 1: that's what I call my husband furniture furniture. There it is. Yeah, 273 00:17:54,359 --> 00:17:57,560 Speaker 1: I was noticing behind you and then we're on zoom, 274 00:17:57,560 --> 00:18:00,040 Speaker 1: but behind you like you are using your husband and 275 00:18:00,119 --> 00:18:02,399 Speaker 1: does a code rack? Is that? Is that? Is he 276 00:18:02,560 --> 00:18:06,280 Speaker 1: just standing completely still? Is that? Oh? My goodness, calmed down? 277 00:18:06,359 --> 00:18:13,359 Speaker 1: Just his skin? Okay, got it? What is something you 278 00:18:13,400 --> 00:18:19,760 Speaker 1: think is overrated? Overrated? Ah? My brain just went blank. 279 00:18:19,800 --> 00:18:25,720 Speaker 1: Oh my god, I love that overrated? Over overrated? Is 280 00:18:26,160 --> 00:18:33,800 Speaker 1: uh sunshine? I don't need this much of it? And 281 00:18:33,880 --> 00:18:37,120 Speaker 1: I wonder if God knows that. What do you mean, 282 00:18:37,200 --> 00:18:41,080 Speaker 1: what's it like you sunshine in the sense of just daylight, 283 00:18:41,520 --> 00:18:44,960 Speaker 1: of actual contact with your skin outside? What what's what's 284 00:18:44,960 --> 00:18:47,720 Speaker 1: your beef list of the sunlight? These days, when I 285 00:18:47,880 --> 00:18:52,639 Speaker 1: walk outside and the sun lands on my face with 286 00:18:52,720 --> 00:18:57,440 Speaker 1: a smack, you just get punched in the face by 287 00:18:57,480 --> 00:19:01,600 Speaker 1: a sunny day. I own. I don't burn that easily. 288 00:19:01,800 --> 00:19:08,879 Speaker 1: I know my snaps filter lightens me up because racism. 289 00:19:05,960 --> 00:19:12,480 Speaker 1: But when the sun hits down upon my cheek with 290 00:19:12,520 --> 00:19:19,040 Speaker 1: a rough smack, it burns. Oh yeah, and uh yeah, 291 00:19:19,240 --> 00:19:23,119 Speaker 1: I'm not ready for this new era where brown folks 292 00:19:23,119 --> 00:19:27,600 Speaker 1: are getting sun burned by this ship, right, this is yeah, 293 00:19:27,640 --> 00:19:32,399 Speaker 1: this is some like Ozone free direct for real. I 294 00:19:32,400 --> 00:19:34,919 Speaker 1: remember that should I thought in the nineties as a kid, 295 00:19:34,960 --> 00:19:36,919 Speaker 1: because like all the white kids put on sunscreen, and 296 00:19:36,920 --> 00:19:39,880 Speaker 1: I'm right, I remember my dad was like, don't do that. 297 00:19:40,200 --> 00:19:43,840 Speaker 1: I'm like why, He's like, because they ain't got melanine. 298 00:19:44,080 --> 00:19:45,919 Speaker 1: And I remember being like an annoying as kind of 299 00:19:45,960 --> 00:19:49,320 Speaker 1: like y'all burning, And then the science was like no, 300 00:19:49,520 --> 00:19:53,520 Speaker 1: uv raised funk up everybody skin, and I'm like, I 301 00:19:53,560 --> 00:19:55,240 Speaker 1: was hoping that was like the one thing I'd be 302 00:19:55,280 --> 00:20:01,600 Speaker 1: like that's karma for fucking slavery burn. Don't do that. 303 00:20:03,440 --> 00:20:05,919 Speaker 1: It doesn't turn out. Sunny Weather has like some of 304 00:20:05,920 --> 00:20:09,600 Speaker 1: the strongest propaganda too, Like there's so many songs that 305 00:20:09,640 --> 00:20:13,960 Speaker 1: are like comparing d to a sunny day or sunshine 306 00:20:13,960 --> 00:20:17,080 Speaker 1: on my shoulder and makes me happy, And I got 307 00:20:17,160 --> 00:20:21,280 Speaker 1: sunshine on a cloudy day. Like I think we need 308 00:20:21,320 --> 00:20:25,320 Speaker 1: to start altering the general aesthetic of like how we 309 00:20:25,359 --> 00:20:27,879 Speaker 1: feel about the sun versus I think we all need 310 00:20:27,880 --> 00:20:30,040 Speaker 1: a little more Drew Barrymore in our life, Like we 311 00:20:30,080 --> 00:20:32,680 Speaker 1: need to respect the rainy days a little bit more 312 00:20:32,720 --> 00:20:35,000 Speaker 1: and just get out there, put our face to the 313 00:20:35,040 --> 00:20:38,400 Speaker 1: sky and start weeping with joy the way that Drew 314 00:20:38,400 --> 00:20:42,480 Speaker 1: Barrymore did. And we need that Stone Temple Pilots black 315 00:20:42,520 --> 00:20:50,080 Speaker 1: Hole sun. Yeah, like that's more accurate. Believe that Sound Garden. Yeah, 316 00:20:50,160 --> 00:20:54,480 Speaker 1: I said Stone Temple Pilots, didn't I get your yarler straight. Yeah, 317 00:20:54,520 --> 00:21:01,880 Speaker 1: you know what you know. I'm sorry, but disposed. Yeah. 318 00:21:01,920 --> 00:21:06,959 Speaker 1: Their voices are pretty different. No one nose. Oh my god, 319 00:21:07,200 --> 00:21:10,960 Speaker 1: that album fuck me up. Those faces man, yeah, because 320 00:21:10,960 --> 00:21:13,879 Speaker 1: their eyes like fully black and then like melted and 321 00:21:13,920 --> 00:21:19,080 Speaker 1: I'm like, my god, that's what that's usually what I 322 00:21:19,119 --> 00:21:21,400 Speaker 1: take When I'm like going to get a haircut or something, 323 00:21:21,440 --> 00:21:24,040 Speaker 1: I bring a picture of those whole sun people and 324 00:21:24,080 --> 00:21:27,520 Speaker 1: I'm like, look, book, didn't they have like jagged teeth 325 00:21:27,560 --> 00:21:30,120 Speaker 1: and ship Yeah? And like their eyes weren't their eyes 326 00:21:30,160 --> 00:21:34,679 Speaker 1: like real sharky, Like real Sharky had that permanent smile. 327 00:21:34,840 --> 00:21:37,040 Speaker 1: Oh yeah. It was like there's like when that like 328 00:21:37,160 --> 00:21:42,280 Speaker 1: early computer like um like image distortion software came out. 329 00:21:42,320 --> 00:21:44,480 Speaker 1: Like there was like a program called like morph from 330 00:21:44,520 --> 00:21:46,720 Speaker 1: the early nineties where it's like take a picture and 331 00:21:46,800 --> 00:21:50,000 Speaker 1: like make a guy's I big And that was sort 332 00:21:50,040 --> 00:21:54,040 Speaker 1: of like what this was like big mouths, big eyes. Yeah, 333 00:21:54,320 --> 00:21:56,680 Speaker 1: oh wow, that looks way worse than I remembered it looking. 334 00:21:58,440 --> 00:22:03,240 Speaker 1: It's like, how did they achieve that back then? Nightmare Fuel? Yeah, 335 00:22:03,560 --> 00:22:06,200 Speaker 1: there's a new uh movie coming out where it's like 336 00:22:06,440 --> 00:22:08,639 Speaker 1: the Smile or something like that, and it's just a 337 00:22:08,640 --> 00:22:11,639 Speaker 1: bunch of people with that face. They like a sickness 338 00:22:11,640 --> 00:22:14,119 Speaker 1: an illness spreads where everybody gets a big smile on 339 00:22:14,160 --> 00:22:19,160 Speaker 1: their face looks terrifying. Whoa, that's Twilight Zony. It's called 340 00:22:19,160 --> 00:22:24,320 Speaker 1: getting one too many texts from Nancy Pelosi God because 341 00:22:24,320 --> 00:22:26,240 Speaker 1: you get that same picture of her she's like, hey, 342 00:22:26,280 --> 00:22:30,200 Speaker 1: it's Nancy. You're like, I like, how my phone now, 343 00:22:30,240 --> 00:22:33,800 Speaker 1: because like she's using all kinds of burner numbers that 344 00:22:33,880 --> 00:22:37,480 Speaker 1: my phone is like, I think suggested contact Nancy for 345 00:22:37,640 --> 00:22:41,880 Speaker 1: this number. I'm like, no, phone, Like, funk off out 346 00:22:41,880 --> 00:22:44,320 Speaker 1: of here. I don't know they're trying to steal money 347 00:22:44,359 --> 00:22:47,480 Speaker 1: from me. We're all Nancy Pelosi fans in here, right, 348 00:22:47,600 --> 00:22:51,920 Speaker 1: this is the Nancy Pelosi loyalist closed were stands over here. 349 00:22:52,359 --> 00:22:57,280 Speaker 1: If we just got behind Nancy, then we would be fine. 350 00:22:57,400 --> 00:23:03,360 Speaker 1: Just vote harder and give her more of your money dollars. 351 00:23:03,960 --> 00:23:06,080 Speaker 1: You know you're over here. Your wish, your thing is 352 00:23:06,119 --> 00:23:07,840 Speaker 1: like you want an alien to take you away. I 353 00:23:07,880 --> 00:23:11,159 Speaker 1: want a text with Nancy face saying I have never 354 00:23:11,200 --> 00:23:20,600 Speaker 1: seen anything like this. I need money, man, Like it's like, 355 00:23:20,880 --> 00:23:25,399 Speaker 1: how money man? What's the vibe of every text is? 356 00:23:25,760 --> 00:23:29,320 Speaker 1: And it completely betrays the urgency that we're actually facing 357 00:23:29,359 --> 00:23:32,800 Speaker 1: in this country when you get hit up like Democrats 358 00:23:33,040 --> 00:23:38,359 Speaker 1: need to win Arizona now and you're too fucking broke 359 00:23:38,960 --> 00:23:42,640 Speaker 1: to fucking throw down on democracy, fam, So why don't 360 00:23:42,640 --> 00:23:46,000 Speaker 1: you piss off out of here? Anyway? Stop tech, stop 361 00:23:46,040 --> 00:23:49,240 Speaker 1: to end. Why does your Nancy Pelosi sounds a lot 362 00:23:49,280 --> 00:23:52,560 Speaker 1: like my dad. It's because I feel like they if 363 00:23:52,600 --> 00:23:54,600 Speaker 1: you look at them on a continuum, they're just like 364 00:23:54,640 --> 00:23:57,720 Speaker 1: the Trump ones, like they're they're like a gro they're 365 00:23:57,760 --> 00:24:01,480 Speaker 1: really trying to be I'm in uh, I'm in a 366 00:24:01,600 --> 00:24:08,240 Speaker 1: chat with a couple of centrists. Oh no, how you 367 00:24:08,280 --> 00:24:11,280 Speaker 1: live as a centrist right now? Right now, I don't 368 00:24:11,280 --> 00:24:16,640 Speaker 1: even know who's a very centrist and blends a lot 369 00:24:16,640 --> 00:24:19,720 Speaker 1: of stuff on Bernie brows and stuff. Yes, Oh my god, 370 00:24:19,800 --> 00:24:24,000 Speaker 1: it's like constant victim blaming for one. Yes, like people 371 00:24:24,080 --> 00:24:30,000 Speaker 1: of color are crying so much. Yeah, Centrism is Yeah, 372 00:24:30,080 --> 00:24:33,280 Speaker 1: Centrism is a toxic luxury that too many people. Oh 373 00:24:33,359 --> 00:24:36,160 Speaker 1: my god, you know what I mean. They're constantly like, 374 00:24:36,280 --> 00:24:38,919 Speaker 1: what can we be more like the Republicans, you know, 375 00:24:39,119 --> 00:24:43,080 Speaker 1: a fascist front? Like And that's from my perspective as 376 00:24:43,119 --> 00:24:46,800 Speaker 1: someone who has nothing on the line, right, Like, that's 377 00:24:46,840 --> 00:24:50,439 Speaker 1: why ful like you're you reveal yourself because you're like, 378 00:24:50,640 --> 00:24:53,520 Speaker 1: I'm I'm My worldview is none of this is gonna 379 00:24:53,520 --> 00:24:55,720 Speaker 1: affect me, so I don't really care. But like y'all 380 00:24:55,760 --> 00:24:58,680 Speaker 1: are being too loud on that side. That's just hilarious 381 00:24:58,720 --> 00:25:01,119 Speaker 1: about it, too, is in the small ways that it 382 00:25:01,400 --> 00:25:03,840 Speaker 1: is affecting them. They still don't know what to do. 383 00:25:04,600 --> 00:25:08,600 Speaker 1: It's like somebody getting stung by bees and just being like, 384 00:25:08,800 --> 00:25:16,080 Speaker 1: I don't understand. Probably maybe the answers inside this hive 385 00:25:16,160 --> 00:25:21,200 Speaker 1: shaped thing. Let me step inside. What if we got 386 00:25:21,400 --> 00:25:24,000 Speaker 1: bigger bees to fight the bees? We don't like it, 387 00:25:24,320 --> 00:25:27,560 Speaker 1: but then there's just more bees, man, m M, I 388 00:25:27,600 --> 00:25:32,760 Speaker 1: don't know worth trying, worth trying, I get it, And 389 00:25:32,840 --> 00:25:35,080 Speaker 1: like the person I'm talking about, like their rights are 390 00:25:35,119 --> 00:25:38,359 Speaker 1: definitely on the line in a way that you know, 391 00:25:38,440 --> 00:25:40,639 Speaker 1: it is even more real for them than it is 392 00:25:41,040 --> 00:25:44,840 Speaker 1: for me, and so like it's hard to argue with 393 00:25:44,880 --> 00:25:48,280 Speaker 1: them being like, well, it's you know, impractical, and like 394 00:25:48,320 --> 00:25:51,040 Speaker 1: we just we do need to win these two Senate seats. 395 00:25:51,080 --> 00:25:52,959 Speaker 1: I don't know what to tell you type ship, but 396 00:25:53,600 --> 00:25:59,160 Speaker 1: it's like, I don't know, man, it's it's not working. 397 00:25:59,320 --> 00:26:03,320 Speaker 1: We we have of we have the horses. That's not 398 00:26:03,520 --> 00:26:07,240 Speaker 1: it's not running there over five seventy two bills or 399 00:26:07,280 --> 00:26:11,720 Speaker 1: whatever you want however you want to count it. Like yeah, anyway, 400 00:26:12,160 --> 00:26:15,560 Speaker 1: all that to say, uh shouts to Nancy, I guess 401 00:26:15,560 --> 00:26:20,000 Speaker 1: I will add her contact. Anyways, let's get off all 402 00:26:20,080 --> 00:26:23,280 Speaker 1: those bad, gloomy news and get to uh, some happy 403 00:26:23,359 --> 00:26:27,040 Speaker 1: news about some sunny weather in Europe. We'll be right 404 00:26:27,080 --> 00:26:42,119 Speaker 1: back and we're back and there's a European heat wave. 405 00:26:43,000 --> 00:26:46,040 Speaker 1: If if we were an actual Morning Zoo show instead 406 00:26:46,080 --> 00:26:48,040 Speaker 1: of a parody of when we would be playing that 407 00:26:48,400 --> 00:26:54,320 Speaker 1: heat wave song or something like that. But we we 408 00:26:55,040 --> 00:26:57,159 Speaker 1: much energy for Kyle Mooney when he was at the 409 00:26:57,800 --> 00:27:00,680 Speaker 1: Miami Heats victory parade video they he put onto YouTube 410 00:27:00,760 --> 00:27:04,480 Speaker 1: years ago and he's like go he go he anyway, 411 00:27:04,520 --> 00:27:06,440 Speaker 1: so that would be the sound drop for that. But 412 00:27:06,840 --> 00:27:09,359 Speaker 1: it's wild because there's this there's a couple there's this 413 00:27:09,440 --> 00:27:12,000 Speaker 1: image on Twitter that was going around and a few 414 00:27:12,080 --> 00:27:15,200 Speaker 1: that were showing that like so there's like a French 415 00:27:15,280 --> 00:27:19,159 Speaker 1: meteorologist on the news who was like, yo, but the 416 00:27:19,200 --> 00:27:22,040 Speaker 1: climate change models were looking at like we're we're looking 417 00:27:22,119 --> 00:27:25,840 Speaker 1: at undeniably like a hotter future without you know, as 418 00:27:25,920 --> 00:27:28,719 Speaker 1: as things stand by doing funk all and showed this 419 00:27:28,800 --> 00:27:32,800 Speaker 1: hypothetical weather forecast from from you know, for August of 420 00:27:34,119 --> 00:27:36,760 Speaker 1: where it showed, you know, temperature is going up to 421 00:27:36,920 --> 00:27:39,440 Speaker 1: like a hundreds and seven degrees and like well into 422 00:27:39,480 --> 00:27:42,240 Speaker 1: the triple digits in the south of France. And people 423 00:27:42,240 --> 00:27:44,560 Speaker 1: were like, oh, sure, okay, I mean, but that's not 424 00:27:44,600 --> 00:27:46,760 Speaker 1: now though. In the UK there's a similar thing on 425 00:27:46,760 --> 00:27:48,800 Speaker 1: the news as well, where they showed the effects of 426 00:27:48,800 --> 00:27:51,359 Speaker 1: global warming and what it would do to the country 427 00:27:51,400 --> 00:27:56,359 Speaker 1: in this hypothetical year of the and many people have 428 00:27:56,520 --> 00:27:59,320 Speaker 1: noticed by putting side by side the map they were 429 00:27:59,400 --> 00:28:01,680 Speaker 1: using to be like, hey, we gotta get our ship together. 430 00:28:02,280 --> 00:28:07,720 Speaker 1: It it very closely matches exactly what this like hypothetical 431 00:28:07,760 --> 00:28:10,320 Speaker 1: map was like what they're the temperatures that are being 432 00:28:10,320 --> 00:28:12,720 Speaker 1: experienced right now in Europe. So a lot of people 433 00:28:12,680 --> 00:28:17,160 Speaker 1: are like, oh, that's interesting. I mean, granted, heat waves 434 00:28:17,160 --> 00:28:19,840 Speaker 1: have been coming, but some of it is like right on, 435 00:28:19,960 --> 00:28:22,399 Speaker 1: like dead on. They have like London at forty and 436 00:28:22,440 --> 00:28:28,680 Speaker 1: the hypothetical map and is actual forecast from this week. Yeah, 437 00:28:29,840 --> 00:28:31,719 Speaker 1: And I mean I think it's pretty it's pretty alarming 438 00:28:31,720 --> 00:28:33,359 Speaker 1: no matter how you look at it. But I also 439 00:28:33,400 --> 00:28:36,400 Speaker 1: just want to point out I honestly think hypothetical weather 440 00:28:36,440 --> 00:28:39,040 Speaker 1: forecasts are pretty effective, because I've never like when I 441 00:28:39,040 --> 00:28:41,600 Speaker 1: saw that, I was like, that's a probably a very 442 00:28:41,680 --> 00:28:45,560 Speaker 1: easy way to conceptualize. This is how fucking difficult your 443 00:28:45,560 --> 00:28:48,680 Speaker 1: life's gonna be like through visa v weather because it's 444 00:28:48,720 --> 00:28:52,640 Speaker 1: something we checked pretty regularly. They just did that nature 445 00:28:52,680 --> 00:28:57,800 Speaker 1: documentary Prehistoric Earth or whatever, where they like put millions 446 00:28:57,920 --> 00:29:00,440 Speaker 1: and millions probably like hundreds of millions of dollars into 447 00:29:00,440 --> 00:29:05,280 Speaker 1: creating basically a David Edinburgh nature documentary that was Imagine 448 00:29:05,320 --> 00:29:09,000 Speaker 1: the world when dinosaurs walked the Earth, and it's very 449 00:29:09,080 --> 00:29:11,320 Speaker 1: dope and like when you watch it, you're like, man, 450 00:29:11,360 --> 00:29:16,240 Speaker 1: they used a lot of very gifted people's talents to 451 00:29:16,280 --> 00:29:18,960 Speaker 1: put this together. This is a good idea that you 452 00:29:19,000 --> 00:29:21,560 Speaker 1: just came up with, Miles like they need to be 453 00:29:21,720 --> 00:29:26,600 Speaker 1: creating like no, I mean, like even a more vivid 454 00:29:26,640 --> 00:29:28,800 Speaker 1: want like give us a twenty four hour news channel 455 00:29:28,880 --> 00:29:31,240 Speaker 1: that is ten years in the future and just showing 456 00:29:31,320 --> 00:29:33,640 Speaker 1: us what the funk is happening as a result of 457 00:29:34,240 --> 00:29:37,280 Speaker 1: all of the horrible decisions that we're making right now. 458 00:29:37,360 --> 00:29:43,160 Speaker 1: Because it's it's not getting through. It's not folks. We 459 00:29:43,200 --> 00:29:45,840 Speaker 1: need to connect to those calls of action, We need 460 00:29:45,840 --> 00:29:52,600 Speaker 1: to connect to those realizations, real infrastructure. It can't just 461 00:29:52,680 --> 00:29:54,920 Speaker 1: be that. Because like this is my fear with the 462 00:29:54,960 --> 00:29:58,520 Speaker 1: way that social media algorithms work now in their echo chambering. 463 00:29:59,600 --> 00:30:02,680 Speaker 1: I've been echo chambered on my social media. Ever since 464 00:30:02,720 --> 00:30:06,200 Speaker 1: last year when I started posting about Israel and Palestine. Oh, 465 00:30:06,360 --> 00:30:11,280 Speaker 1: like you have you here five thousand followers. Each time 466 00:30:11,280 --> 00:30:16,480 Speaker 1: I post about Palestine, it drops to eleven eleven views, 467 00:30:16,520 --> 00:30:18,200 Speaker 1: and it stays that way until I show a lot 468 00:30:18,200 --> 00:30:23,160 Speaker 1: of puppy pictures or like misspell the word like p 469 00:30:23,400 --> 00:30:26,320 Speaker 1: A L A C E S T E I N. 470 00:30:27,320 --> 00:30:29,440 Speaker 1: But now they go by the images too, they're reading 471 00:30:29,480 --> 00:30:33,240 Speaker 1: the images. It's not just yeah, so it's it's aggressive 472 00:30:33,280 --> 00:30:36,000 Speaker 1: echo chambering. So like sometimes I wonder what these like 473 00:30:36,480 --> 00:30:39,200 Speaker 1: amazing studies that come out, amazing articles that come out, 474 00:30:39,240 --> 00:30:43,120 Speaker 1: amazing things that people say and realizations that folks are having, 475 00:30:43,360 --> 00:30:49,200 Speaker 1: how fast it dissipates on social media. They irrigated away 476 00:30:49,880 --> 00:30:54,680 Speaker 1: and make it harder to follow through on action. Yeah right, 477 00:30:55,280 --> 00:30:58,960 Speaker 1: I mean that, Yeah, that that that tracks and you 478 00:30:59,000 --> 00:31:02,440 Speaker 1: can certainly you know see how like algorithms are definitely 479 00:31:02,520 --> 00:31:05,560 Speaker 1: like siloing certain kinds of content. Oh my god, the 480 00:31:05,600 --> 00:31:11,080 Speaker 1: word racism is censored on Instagram, right, They just they 481 00:31:11,120 --> 00:31:14,640 Speaker 1: have it focused only on people who have who like 482 00:31:14,760 --> 00:31:20,040 Speaker 1: respond positively to that word, and most people it just 483 00:31:20,080 --> 00:31:24,560 Speaker 1: gives you the whatever, whoever gets a dopamine hit from 484 00:31:24,600 --> 00:31:27,160 Speaker 1: your thing like that's who it's going to, which is again, 485 00:31:27,280 --> 00:31:30,280 Speaker 1: I'm sure another interesting twist for the aliens who are 486 00:31:30,280 --> 00:31:33,760 Speaker 1: watching the reality shows and they're like, dude, they created 487 00:31:33,880 --> 00:31:38,800 Speaker 1: fucking weird computer programs that make them dumber and keep 488 00:31:38,840 --> 00:31:42,840 Speaker 1: them away from the solutions that will help them. It's 489 00:31:42,840 --> 00:31:46,840 Speaker 1: this show is wild on her. It's just out of control. 490 00:31:46,880 --> 00:31:52,640 Speaker 1: It's just the like very basic logical like endpoint of 491 00:31:53,040 --> 00:31:57,240 Speaker 1: hyper capitalism is just like everything becomes marketing and we're 492 00:31:57,320 --> 00:32:00,720 Speaker 1: all carrying around little marketing devices that are you know, 493 00:32:00,840 --> 00:32:04,240 Speaker 1: inches away from our faces that take away our free 494 00:32:04,240 --> 00:32:08,440 Speaker 1: will like that's and replace it with you know, whatever 495 00:32:08,600 --> 00:32:11,920 Speaker 1: is going to drive the most consumption. There's some alien 496 00:32:12,040 --> 00:32:16,840 Speaker 1: chick on a spaceship somewhere with amphibian hands. It's like Earth, 497 00:32:16,920 --> 00:32:25,200 Speaker 1: this my vanity watch. But yeah, I mean, like just 498 00:32:25,240 --> 00:32:27,240 Speaker 1: to get back into like this that what is actually 499 00:32:27,320 --> 00:32:30,120 Speaker 1: happening right in Europe, like there have been many first 500 00:32:30,320 --> 00:32:33,000 Speaker 1: just from this current heat wave, like the UK's their 501 00:32:33,040 --> 00:32:36,560 Speaker 1: their meteorological service had to issue like a red warning 502 00:32:36,760 --> 00:32:39,720 Speaker 1: for heat, like a heat advisory for the very first 503 00:32:39,720 --> 00:32:44,640 Speaker 1: time ever. France shattered over one different heat records. In Spain, 504 00:32:44,680 --> 00:32:47,360 Speaker 1: they're estimating like a potentially up to five people are 505 00:32:47,400 --> 00:32:49,800 Speaker 1: more have died as a result of the extreme heat. 506 00:32:50,200 --> 00:32:53,440 Speaker 1: And we've you've probably seen pictures of like wildfires that 507 00:32:53,440 --> 00:32:56,400 Speaker 1: have broken out in Portugal, Spain, France, or like people 508 00:32:56,440 --> 00:32:59,120 Speaker 1: in a train who are like stuck because like ships 509 00:32:59,160 --> 00:33:02,920 Speaker 1: on fire around them. It's really it's really disconcerting. Ship 510 00:33:03,000 --> 00:33:05,520 Speaker 1: We've we've talked before on this show about how like 511 00:33:05,600 --> 00:33:07,920 Speaker 1: even in the United States when there's a lot of 512 00:33:07,920 --> 00:33:09,760 Speaker 1: heat deaths and there's a lot more heat deaths now 513 00:33:09,800 --> 00:33:13,160 Speaker 1: than there ever have been and it's only increasing, they 514 00:33:13,240 --> 00:33:16,440 Speaker 1: don't get media coverage like the way that other natural 515 00:33:16,440 --> 00:33:19,840 Speaker 1: disasters do, and this one is because it's like out 516 00:33:19,920 --> 00:33:23,800 Speaker 1: of the ordinary, but it is also very invisible, like 517 00:33:23,840 --> 00:33:26,640 Speaker 1: nobodies are floating down the street, you know, it's like 518 00:33:27,320 --> 00:33:31,240 Speaker 1: happening behind closed doors, usually to the sorts of people 519 00:33:31,280 --> 00:33:34,920 Speaker 1: that don't get a lot of media attention naturally. I mean, 520 00:33:35,160 --> 00:33:37,040 Speaker 1: I mean, we saw the same thing, like India and 521 00:33:37,120 --> 00:33:40,880 Speaker 1: Pakistan had a terrible heat wave in May, and it 522 00:33:41,000 --> 00:33:46,120 Speaker 1: was like a couple of inches of newspaper articles written 523 00:33:46,160 --> 00:33:48,880 Speaker 1: about it. But I think because most people, people are 524 00:33:48,960 --> 00:33:53,520 Speaker 1: so fucking like in this feel like they can't break 525 00:33:53,520 --> 00:33:57,000 Speaker 1: this inertia of fear around like climate anxiety to that. 526 00:33:57,080 --> 00:33:59,160 Speaker 1: Like there, I feel it's also contributing to a lot 527 00:33:59,200 --> 00:34:01,560 Speaker 1: of places, like even myself. I'm like, when I see 528 00:34:01,560 --> 00:34:06,239 Speaker 1: you start seeing grim shit about them, please, like I know, 529 00:34:06,680 --> 00:34:09,400 Speaker 1: I fucking know, but there's just other ship happening right 530 00:34:09,440 --> 00:34:11,840 Speaker 1: now that feels so fucked up, and I feel like 531 00:34:11,920 --> 00:34:14,319 Speaker 1: that's a really terrible place for many people to be 532 00:34:14,400 --> 00:34:16,520 Speaker 1: in as well. See. This is what I mean by 533 00:34:16,520 --> 00:34:19,839 Speaker 1: these echo chambers is like I follow climate disaster very 534 00:34:20,000 --> 00:34:25,959 Speaker 1: closely because I'm an enormous fan of secular catastrophe r right. 535 00:34:27,800 --> 00:34:30,799 Speaker 1: It brings me a sun smack smile. It's metal, man, 536 00:34:30,840 --> 00:34:34,480 Speaker 1: There's nothing more metal than a secular catastrac see. But 537 00:34:34,600 --> 00:34:37,719 Speaker 1: I wouldn't have known actually like that there is a 538 00:34:37,760 --> 00:34:41,319 Speaker 1: problem with people knowing more information about it because it's 539 00:34:41,640 --> 00:34:48,040 Speaker 1: flooded in my feed right. But like you know, there's 540 00:34:48,120 --> 00:34:50,880 Speaker 1: also like you look at the infrastructure though, like there 541 00:34:51,320 --> 00:34:54,319 Speaker 1: the problem is so multilayered, right because like they're even 542 00:34:54,360 --> 00:34:57,279 Speaker 1: like the jet streams are changing above Europe, like the 543 00:34:57,320 --> 00:34:59,759 Speaker 1: flow of like the oceans and things like that, how 544 00:35:00,239 --> 00:35:03,719 Speaker 1: is also changing, like where the hotspots are peering in 545 00:35:03,760 --> 00:35:08,160 Speaker 1: Europe on top of like the pollution that's driving a 546 00:35:08,160 --> 00:35:10,759 Speaker 1: lot of it, as well of the one huge thing 547 00:35:10,800 --> 00:35:14,440 Speaker 1: I didn't realize like five percent at most, like around 548 00:35:14,480 --> 00:35:16,800 Speaker 1: less than five percent of European homes have air conditioning, 549 00:35:17,239 --> 00:35:20,279 Speaker 1: that is why. And that makes me believe that they 550 00:35:20,280 --> 00:35:24,000 Speaker 1: are going to get this fixed faster than the rest 551 00:35:24,200 --> 00:35:27,799 Speaker 1: than the United States, because holy sh it, and that's 552 00:35:27,840 --> 00:35:30,800 Speaker 1: going to cause very uncomfortable. That's gonna cause more problems, 553 00:35:30,880 --> 00:35:34,200 Speaker 1: right if they if everybody starts, yeah, doubling down on 554 00:35:34,239 --> 00:35:36,480 Speaker 1: the grid for a C. That's like the same thing 555 00:35:36,520 --> 00:35:40,080 Speaker 1: was mentioned in Texas recently. They're like they're having grid problems. 556 00:35:40,120 --> 00:35:43,120 Speaker 1: But the thing is more heat requires more power generation 557 00:35:43,200 --> 00:35:45,080 Speaker 1: to keep the A C s on, which means more 558 00:35:45,400 --> 00:35:49,160 Speaker 1: you know, coal fired ship going up. It's they're like, 559 00:35:49,200 --> 00:35:52,000 Speaker 1: what about that feedback loop to like and then there's 560 00:35:52,000 --> 00:35:54,680 Speaker 1: a whole other efficiency around, like insulation too, because many 561 00:35:54,719 --> 00:35:58,360 Speaker 1: homes like are are designed to like retain heat in 562 00:35:58,400 --> 00:36:01,080 Speaker 1: the winter than to stay cool, Like you know, that's 563 00:36:01,080 --> 00:36:04,120 Speaker 1: why like houses in l A barely have any insulation 564 00:36:04,160 --> 00:36:06,640 Speaker 1: in them. You know, they're like and that's why they 565 00:36:06,680 --> 00:36:11,360 Speaker 1: get fucking ice in the winter. Man, the coldest winter 566 00:36:11,520 --> 00:36:13,400 Speaker 1: ever I have was the first winter that I moved 567 00:36:13,400 --> 00:36:16,799 Speaker 1: out to Los Angeles and lived in Santa Monica and 568 00:36:17,080 --> 00:36:20,000 Speaker 1: like just packed my beach ship, you know. I was like, 569 00:36:20,080 --> 00:36:23,319 Speaker 1: all right, let's get and then like I didn't know 570 00:36:23,320 --> 00:36:26,000 Speaker 1: how to light the fucking pilot lighter for the heater 571 00:36:26,160 --> 00:36:30,520 Speaker 1: in my in my house, and we froze. Yeah, right, 572 00:36:30,640 --> 00:36:33,080 Speaker 1: eventually figured out, but I mean it was it was 573 00:36:33,120 --> 00:36:35,799 Speaker 1: a cold couple of months, right, and the to the 574 00:36:35,920 --> 00:36:38,360 Speaker 1: energy generation point like in France, right, they had to 575 00:36:38,440 --> 00:36:41,719 Speaker 1: dial back nuclear energy output because at one of the 576 00:36:41,760 --> 00:36:45,239 Speaker 1: plants that they used to generate energy, the rivers that 577 00:36:45,320 --> 00:36:48,960 Speaker 1: they used to like cool the reactors, the water temperature 578 00:36:49,000 --> 00:36:52,520 Speaker 1: of the rivers had gone too high because of the heat. 579 00:36:53,000 --> 00:36:55,919 Speaker 1: So it wasn't even there, Like we can't responsibly even 580 00:36:55,960 --> 00:36:59,200 Speaker 1: cool our reactors with this water, like because the waters 581 00:36:59,239 --> 00:37:04,680 Speaker 1: the rivers looking too hot. No go ahead. Finished though, 582 00:37:04,800 --> 00:37:06,520 Speaker 1: I'm just saying, like that's that's the kind of like 583 00:37:06,600 --> 00:37:10,279 Speaker 1: breath to freaks around, like the rivers are fucking too hot. 584 00:37:10,640 --> 00:37:13,720 Speaker 1: That took the breath out of me. Like the fact 585 00:37:13,760 --> 00:37:16,279 Speaker 1: that there could be a situation where the water is 586 00:37:16,360 --> 00:37:20,160 Speaker 1: too warm for nuclear reactors to cool down. That sounds 587 00:37:20,200 --> 00:37:22,560 Speaker 1: like a problem folks. Yeah, you gotta put it in 588 00:37:22,560 --> 00:37:27,560 Speaker 1: the refrigerator to cool the nuclear reactors, which creates more heat, which, yeah, 589 00:37:28,160 --> 00:37:33,240 Speaker 1: put some ice packs in it, like where the ice packs? Yeah, 590 00:37:33,320 --> 00:37:35,480 Speaker 1: and you know the end the other issues too, Like 591 00:37:35,880 --> 00:37:39,600 Speaker 1: in like California, places like Arizona in the US, people know, 592 00:37:39,800 --> 00:37:42,719 Speaker 1: like being in high temperatures is just like a thing 593 00:37:42,840 --> 00:37:45,000 Speaker 1: that they're used to, like we're used to write, and 594 00:37:45,400 --> 00:37:47,640 Speaker 1: you're also kind of taught or made to be more 595 00:37:47,719 --> 00:37:50,320 Speaker 1: aware of, like like you actually need to be safe 596 00:37:50,360 --> 00:37:53,439 Speaker 1: when it's really hot outside. In places like in these 597 00:37:53,440 --> 00:37:55,160 Speaker 1: other places in Europe where they're not used to these 598 00:37:55,239 --> 00:37:57,640 Speaker 1: kinds of temperatures, they're also less likely to have this 599 00:37:57,719 --> 00:38:01,280 Speaker 1: like general knowledge to obviously the denicipalities and the government. 600 00:38:01,360 --> 00:38:03,360 Speaker 1: It's like, hey, you need to know this ship. But 601 00:38:03,480 --> 00:38:05,680 Speaker 1: a lot of these things end up compounding on each 602 00:38:05,719 --> 00:38:08,880 Speaker 1: other to make the effects of like these heat waves 603 00:38:08,880 --> 00:38:12,239 Speaker 1: even worse. And you know, like heat stress especially, it's 604 00:38:12,320 --> 00:38:14,880 Speaker 1: like the big thing that is really not talked about 605 00:38:14,880 --> 00:38:17,120 Speaker 1: as much as like the effects that heat have because 606 00:38:17,400 --> 00:38:21,560 Speaker 1: at night it's too hot, you're not sleeping well, your 607 00:38:21,320 --> 00:38:24,560 Speaker 1: your sleep gets all fucked up. That has tremendous health 608 00:38:24,600 --> 00:38:27,600 Speaker 1: effects as well, so it's a very complex issue, but 609 00:38:27,840 --> 00:38:29,920 Speaker 1: one at the end, I think a lot of scientists 610 00:38:29,960 --> 00:38:32,919 Speaker 1: are like, we're really thinking of, like if what our 611 00:38:32,960 --> 00:38:36,160 Speaker 1: models are because we couldn't they you know, they failed 612 00:38:36,160 --> 00:38:39,120 Speaker 1: to predict that huge like heat blob that was above 613 00:38:39,160 --> 00:38:41,919 Speaker 1: the northwest last summer, and a lot of I think 614 00:38:42,080 --> 00:38:45,279 Speaker 1: climate scientists are like worried that, Like, I mean, we 615 00:38:45,360 --> 00:38:47,480 Speaker 1: know we have modeling, but like when ship like this 616 00:38:47,520 --> 00:38:56,000 Speaker 1: is happening to that's also added concern. Yank, that's um, 617 00:38:56,040 --> 00:39:01,160 Speaker 1: there was a X Files episode We're Scully saved a 618 00:39:01,239 --> 00:39:04,000 Speaker 1: bad guy by telling him what to do when he 619 00:39:04,080 --> 00:39:10,640 Speaker 1: was hot, just because people don't know because that's real 620 00:39:11,080 --> 00:39:13,719 Speaker 1: and it happened in the X Files. Okay, and see 621 00:39:13,760 --> 00:39:19,799 Speaker 1: and that's why everything comes full circle. Yeah, So, like 622 00:39:20,480 --> 00:39:23,600 Speaker 1: the two ways of dealing with this, like the what 623 00:39:23,719 --> 00:39:27,400 Speaker 1: we just mentioned about five of houses only five percent 624 00:39:27,520 --> 00:39:30,640 Speaker 1: having a C Like you could either you know, stop 625 00:39:30,640 --> 00:39:35,040 Speaker 1: climate change, or or you can like like they're ten 626 00:39:35,120 --> 00:39:38,440 Speaker 1: years from now of the houses will have air conditioning, 627 00:39:38,520 --> 00:39:42,680 Speaker 1: at which point they're dumping you know, gases via you know, 628 00:39:42,760 --> 00:39:47,600 Speaker 1: electricity generation. There's also the forest fires thing where it's 629 00:39:48,040 --> 00:39:52,000 Speaker 1: forest fires dump so much you know it used to 630 00:39:52,040 --> 00:39:55,760 Speaker 1: be a manageable amount, and now just so much carbon 631 00:39:55,760 --> 00:40:00,600 Speaker 1: dioxide into the atmosphere. And it's only it's like these 632 00:40:01,200 --> 00:40:05,840 Speaker 1: you know, feedback loops are are just you know, speeding 633 00:40:05,920 --> 00:40:12,200 Speaker 1: up and getting bigger. And do you hear the good news? 634 00:40:12,520 --> 00:40:18,960 Speaker 1: Taste the rainbow, you can lick skittles, eat poison and die. No, no, 635 00:40:19,080 --> 00:40:23,440 Speaker 1: real good news about the little carbon bits that capture 636 00:40:23,480 --> 00:40:26,120 Speaker 1: carbon in the atmosphere and you can bury them in 637 00:40:26,160 --> 00:40:30,360 Speaker 1: the ground. See, this is what happens, folks, when you 638 00:40:30,400 --> 00:40:32,440 Speaker 1: don't follow climate news. You don't get the good new 639 00:40:32,560 --> 00:40:35,759 Speaker 1: about the rivers being too hot to cool the nuclear reactors. 640 00:40:36,840 --> 00:40:39,200 Speaker 1: There's nothing to do about that. That's gonna kill us. 641 00:40:39,239 --> 00:40:43,759 Speaker 1: But for those that doesn't kill, there are that scientists 642 00:40:43,760 --> 00:40:48,200 Speaker 1: have found um from following the patterns of certain kind 643 00:40:48,239 --> 00:40:52,560 Speaker 1: of cockroach. They found a way to capture carbon in 644 00:40:52,600 --> 00:40:56,960 Speaker 1: the air, excess carbon in the air in little pieces 645 00:40:57,000 --> 00:41:00,960 Speaker 1: of bark that then hold like a certain number of 646 00:41:01,000 --> 00:41:04,279 Speaker 1: grams of carbon that is like phenomenal, and they're able 647 00:41:04,280 --> 00:41:06,040 Speaker 1: to bury it in the ground so it doesn't heat 648 00:41:06,120 --> 00:41:08,680 Speaker 1: up the atmosphere. It buried in the ground and it 649 00:41:08,960 --> 00:41:13,200 Speaker 1: grabs the carbon out of the air. Yes, what the 650 00:41:13,239 --> 00:41:15,880 Speaker 1: he like like not sorry, not buried. Buried in the 651 00:41:15,880 --> 00:41:21,200 Speaker 1: ground is sort of like on the surface. Yeah, it pulls, 652 00:41:21,440 --> 00:41:24,680 Speaker 1: it pulls in carbon from the atmosphere. They we're fucking saved. 653 00:41:24,760 --> 00:41:28,960 Speaker 1: Why are you talking about this? Sorry, listeners, I don't 654 00:41:29,000 --> 00:41:32,560 Speaker 1: mean to freak you out. Climate we got bark bits 655 00:41:32,600 --> 00:41:38,040 Speaker 1: that are gonna save us. Spoilers were climate alarmism, which 656 00:41:38,040 --> 00:41:40,480 Speaker 1: is wild because there was a there was someone on 657 00:41:40,520 --> 00:41:42,640 Speaker 1: Twitter did a side by side of a clip from 658 00:41:43,080 --> 00:41:46,399 Speaker 1: Don't Look Up and like It's seen where they're like, uh, 659 00:41:47,280 --> 00:41:49,960 Speaker 1: very terrible things are going to happen to our planet, 660 00:41:50,040 --> 00:41:51,759 Speaker 1: and then did it a side by side with like 661 00:41:51,840 --> 00:41:54,640 Speaker 1: gb N, which is like like the UK is like 662 00:41:55,040 --> 00:41:58,400 Speaker 1: shitty version of Fox, where like a person was saying like, 663 00:41:58,920 --> 00:42:01,520 Speaker 1: you know, they had a media brologist on saying like yeah, 664 00:42:01,560 --> 00:42:03,839 Speaker 1: it's it's it's nice now, but next week it could 665 00:42:03,880 --> 00:42:06,640 Speaker 1: be absolutely terrible, and like one of the anchors like, 666 00:42:06,840 --> 00:42:09,680 Speaker 1: but you know, isn't that just alarmism? And you know, 667 00:42:09,760 --> 00:42:11,879 Speaker 1: like a lot of people talk about like it gets 668 00:42:11,920 --> 00:42:14,560 Speaker 1: hot sometimes and this guy was like no, not like 669 00:42:14,640 --> 00:42:18,600 Speaker 1: this at all ever, and they're like okay, but like 670 00:42:18,960 --> 00:42:21,760 Speaker 1: it was a wild how uncomfortable the anchor was hearing 671 00:42:21,800 --> 00:42:24,160 Speaker 1: this person be like it's going like it's it might 672 00:42:24,200 --> 00:42:27,600 Speaker 1: be twenty degrees celsius today, next week you get to forty, 673 00:42:28,200 --> 00:42:33,720 Speaker 1: that's a fucking problem. And like so forties like a hundred, 674 00:42:33,840 --> 00:42:38,160 Speaker 1: right or basically the yeah it's I mean, no, it's 675 00:42:38,160 --> 00:42:40,040 Speaker 1: it's well over a hundred. I think it's like one 676 00:42:40,080 --> 00:42:42,760 Speaker 1: oh four or five or something like that, right, thirty 677 00:42:42,840 --> 00:42:49,239 Speaker 1: two is a hundred now or something? I don't know. Yeah, 678 00:42:49,440 --> 00:42:51,360 Speaker 1: so what I'm just saying this is the one area 679 00:42:51,400 --> 00:42:55,880 Speaker 1: where I think we're better thirty seven point seven. I 680 00:42:55,880 --> 00:42:59,880 Speaker 1: mean it hit in Arizona, right, didn't it somewhere in 681 00:43:00,000 --> 00:43:03,080 Speaker 1: Arizona and in California didn't hit like one sixty or 682 00:43:03,120 --> 00:43:07,520 Speaker 1: something outrageous. I don't think it's ever hit one sixty, 683 00:43:07,600 --> 00:43:11,879 Speaker 1: but like Mumbai was one forty. Death Valley, I think 684 00:43:11,920 --> 00:43:15,160 Speaker 1: Death Valley has the highest or had the record for 685 00:43:15,160 --> 00:43:23,479 Speaker 1: a long time. Anyway, is four what was it damn 686 00:43:24,360 --> 00:43:28,560 Speaker 1: degrees fahnheit or fifty seven degrees celsius for the International 687 00:43:28,600 --> 00:43:30,920 Speaker 1: Gang And you know what, I guess when that was 688 00:43:31,239 --> 00:43:36,000 Speaker 1: nineteen guess what that next round is gonna be Where 689 00:43:36,000 --> 00:43:37,920 Speaker 1: they're like, oh, y'all forgot about me. Huh that was 690 00:43:37,960 --> 00:43:43,399 Speaker 1: in and I've been in the lab. Damn. Yeah, yeah, 691 00:43:44,000 --> 00:43:47,560 Speaker 1: that's warm. It's also like that the you you ended 692 00:43:47,680 --> 00:43:49,880 Speaker 1: this right up by being like, maybe our mildest summers 693 00:43:49,920 --> 00:43:52,799 Speaker 1: are behind us. Summers was when I was a kid 694 00:43:52,840 --> 00:43:55,839 Speaker 1: man like like, I don't look back and be like, oh, 695 00:43:55,960 --> 00:43:59,719 Speaker 1: those were some mild summers. I remember just dragging a 696 00:44:00,040 --> 00:44:05,160 Speaker 1: gateboard down the street like just so like just just 697 00:44:05,200 --> 00:44:08,120 Speaker 1: demolished by the heat that I couldn't couldn't even like 698 00:44:08,360 --> 00:44:11,960 Speaker 1: ride it. I saw you. Yeah, I was just like 699 00:44:13,040 --> 00:44:14,839 Speaker 1: just dead. But I feel like, no that, I mean, 700 00:44:14,840 --> 00:44:17,799 Speaker 1: that's been like the prevailing sentiment the last few, like 701 00:44:17,840 --> 00:44:20,239 Speaker 1: the last year, So I read that pretty consistently where 702 00:44:20,239 --> 00:44:24,120 Speaker 1: they're like, just so you know, like what you're experiencing now, 703 00:44:24,239 --> 00:44:26,960 Speaker 1: maybe the last time you experienced it like this, like 704 00:44:27,040 --> 00:44:32,319 Speaker 1: conceptualize that, And that's always stuck with me when they're like, yeah, 705 00:44:32,320 --> 00:44:34,160 Speaker 1: you think it's hot now, but you might be thinking 706 00:44:34,200 --> 00:44:35,960 Speaker 1: back and be like, man, I wish it was the summer. 707 00:44:38,200 --> 00:44:40,799 Speaker 1: Oh God, let's take a quick break and then we'll 708 00:44:40,840 --> 00:44:58,480 Speaker 1: come back and talk about how skittles are poison and 709 00:44:58,640 --> 00:45:03,560 Speaker 1: we're back, and uh, you're back with Miles and the 710 00:45:03,840 --> 00:45:14,360 Speaker 1: and the Dog. Uh, so skittles are poison? Maybe a 711 00:45:14,440 --> 00:45:18,200 Speaker 1: California man is suing Mars, the candy company, not the planet, 712 00:45:19,680 --> 00:45:24,440 Speaker 1: over skittles, claiming that it is unfit for human consumption 713 00:45:25,080 --> 00:45:30,160 Speaker 1: because of a material called titanium dioxide, which is an 714 00:45:30,200 --> 00:45:35,400 Speaker 1: inert and also insoluble material typically used as a whitener. 715 00:45:35,920 --> 00:45:39,200 Speaker 1: You may know its work from sunscreen and ranch dressing. 716 00:45:40,880 --> 00:45:43,839 Speaker 1: So we ranch, Yeah, we don't know what color ranch 717 00:45:43,920 --> 00:45:46,560 Speaker 1: would be without this ship in it. Ranch might just 718 00:45:46,600 --> 00:45:51,440 Speaker 1: be like, you know, p green or something black. Oh 719 00:45:51,560 --> 00:45:55,799 Speaker 1: my god, it's like the flowy ship from Severance that 720 00:45:56,040 --> 00:45:58,359 Speaker 1: you know, what's his name? Keeps seeing. I can't believe 721 00:45:58,400 --> 00:46:02,560 Speaker 1: I don't actually know my ranch. Yeah, so it isn't 722 00:46:02,600 --> 00:46:05,800 Speaker 1: necessarily harmful to people, but there has been some added 723 00:46:05,840 --> 00:46:08,920 Speaker 1: concern over the past several years that while it is 724 00:46:08,960 --> 00:46:12,600 Speaker 1: approved by the f d A and micro amounts, now 725 00:46:12,680 --> 00:46:18,080 Speaker 1: food contains nano sized versions of it, because there are 726 00:46:19,000 --> 00:46:22,000 Speaker 1: other examples of nanoparticles doing more harm to the body 727 00:46:22,080 --> 00:46:26,719 Speaker 1: because they simply act differently than larger particles. There smaller 728 00:46:26,920 --> 00:46:31,360 Speaker 1: than micro particles. So what we don't know exactly is 729 00:46:31,360 --> 00:46:34,840 Speaker 1: how the difference in size of the titanium dioxide particles 730 00:46:34,840 --> 00:46:38,400 Speaker 1: could affect people's bodies because it hasn't been tested as much, 731 00:46:38,440 --> 00:46:43,000 Speaker 1: which in a country where you know, people's blood type 732 00:46:43,080 --> 00:46:46,359 Speaker 1: is ranch right well, and also in a country where 733 00:46:46,400 --> 00:46:50,960 Speaker 1: like corporations aren't you know, business bureaus didn't run the 734 00:46:51,280 --> 00:46:55,440 Speaker 1: entirety of like how things operate. They might do the 735 00:46:55,480 --> 00:46:59,600 Speaker 1: tests before. They might have like waited to see how 736 00:47:00,200 --> 00:47:03,840 Speaker 1: operates on us before they put it into food that 737 00:47:04,040 --> 00:47:09,080 Speaker 1: is in every store around the country. But no, they 738 00:47:09,120 --> 00:47:12,879 Speaker 1: they have just gone ahead and been like, well, so far, 739 00:47:13,000 --> 00:47:16,319 Speaker 1: no one's had is exploded. There's been some studies, but 740 00:47:16,800 --> 00:47:21,240 Speaker 1: even they seem to conflict one another. So there's uncertainty, 741 00:47:21,400 --> 00:47:25,359 Speaker 1: but just a couple leading indicators here. First of all, 742 00:47:25,400 --> 00:47:30,360 Speaker 1: Duncan Donuts have removed titanium dioxide from their products, so 743 00:47:31,320 --> 00:47:34,600 Speaker 1: no Duncan Why I feel like no one wants to 744 00:47:34,640 --> 00:47:38,320 Speaker 1: make decisions that are less healthy than the brain trust 745 00:47:38,360 --> 00:47:42,879 Speaker 1: of Duncan Donuts. That that feels, yeah, I mean those 746 00:47:42,920 --> 00:47:47,600 Speaker 1: cool lottas on my body for sure. By the way, 747 00:47:47,600 --> 00:47:51,000 Speaker 1: this was the Duncan decision was in response to pressure 748 00:47:51,040 --> 00:47:54,640 Speaker 1: from the advocacy group as you sew, and there's other 749 00:47:54,840 --> 00:47:58,839 Speaker 1: work from advocacy groups, like consumer advocacy groups that I 750 00:47:58,920 --> 00:48:02,160 Speaker 1: just feel like I have not seen in the mainstream 751 00:48:02,239 --> 00:48:05,280 Speaker 1: media or in any sort of like mainstream pop culture 752 00:48:05,920 --> 00:48:08,839 Speaker 1: a cool person who like works for an advocacy group, 753 00:48:09,239 --> 00:48:11,759 Speaker 1: you know, and like a movie where like an advocacy 754 00:48:11,800 --> 00:48:15,399 Speaker 1: group's work is like taken seriously and you know that's 755 00:48:15,440 --> 00:48:18,920 Speaker 1: the These are the bad guys from movies. They're like 756 00:48:19,000 --> 00:48:21,440 Speaker 1: the you know, the people who get made fun of 757 00:48:21,440 --> 00:48:25,160 Speaker 1: them PCU or something. But they are actually out here 758 00:48:25,239 --> 00:48:31,160 Speaker 1: doing work to protect you from having nanoparticles like at 759 00:48:31,200 --> 00:48:34,200 Speaker 1: the end points of your toe nails or whatever wherever. 760 00:48:34,239 --> 00:48:38,759 Speaker 1: The Also, they're ending up one more instance of whiteness 761 00:48:38,960 --> 00:48:43,560 Speaker 1: destroying the world. Yeah, literally, just straight up, come on, 762 00:48:44,120 --> 00:48:47,800 Speaker 1: we make it more white. The food whitener killed half 763 00:48:47,880 --> 00:48:53,040 Speaker 1: the people, right. So this is especially interesting in the 764 00:48:53,040 --> 00:48:57,000 Speaker 1: case of Skittles because Mars announced Mars again, the food company, 765 00:48:57,080 --> 00:49:00,480 Speaker 1: not the planet, announced in sixteen that they we're going 766 00:49:00,520 --> 00:49:05,120 Speaker 1: to remove their artificial coloring, including titanium dioxide from their 767 00:49:05,680 --> 00:49:09,520 Speaker 1: human food products, which by that they mean not their 768 00:49:09,600 --> 00:49:12,640 Speaker 1: pet food products. It's not like a soylink green situation, 769 00:49:13,120 --> 00:49:16,120 Speaker 1: but they set a goal for five years in the future. 770 00:49:16,360 --> 00:49:21,680 Speaker 1: So so you may notice that we have passed that year. 771 00:49:22,040 --> 00:49:25,359 Speaker 1: They failed to make that deadline, and the other food 772 00:49:25,400 --> 00:49:28,440 Speaker 1: dies that they have failed to remove do have observable 773 00:49:28,440 --> 00:49:31,960 Speaker 1: connections to major problems. Doctors have one that some guys 774 00:49:32,200 --> 00:49:35,319 Speaker 1: have clear links to behavioral problems and children, which the 775 00:49:35,400 --> 00:49:39,560 Speaker 1: FDA has disputed. But I just more and more I 776 00:49:39,640 --> 00:49:41,400 Speaker 1: start to think that, like the f d A is 777 00:49:41,440 --> 00:49:47,520 Speaker 1: basically a business, like a corporate advocacy group. Yeah. I 778 00:49:47,560 --> 00:49:49,400 Speaker 1: feel like the CDC was like the last one to 779 00:49:49,440 --> 00:49:53,280 Speaker 1: go down where they're like, yeah, I mean we know better, 780 00:49:53,400 --> 00:49:56,560 Speaker 1: but there's man, the people that are running this thing 781 00:49:56,600 --> 00:50:01,400 Speaker 1: are tone us to do it another way. Uh so, 782 00:50:01,280 --> 00:50:03,279 Speaker 1: so I mean, how could you how could you think 783 00:50:03,280 --> 00:50:05,680 Speaker 1: anything else when you look at that So well, Mars 784 00:50:05,719 --> 00:50:09,560 Speaker 1: decided to not meet their own goal in the United States. 785 00:50:09,880 --> 00:50:14,040 Speaker 1: They did remove the chemicals from their European products, where 786 00:50:14,080 --> 00:50:18,160 Speaker 1: the laws are far stricter, so that I feel like 787 00:50:18,239 --> 00:50:21,719 Speaker 1: should tell you everything you need to know that you 788 00:50:21,920 --> 00:50:25,759 Speaker 1: requires labels warning consumers that some guys may have an 789 00:50:25,760 --> 00:50:30,680 Speaker 1: adverse effect on activity and attention in children. And so Jack, 790 00:50:30,760 --> 00:50:34,360 Speaker 1: we don't really give them for banning Mountain do What's 791 00:50:34,360 --> 00:50:36,760 Speaker 1: that I said? We don't forgive them for banning mountain 792 00:50:36,840 --> 00:50:41,719 Speaker 1: do what. I shouldn't drink mountain dew. It's fun. What 793 00:50:41,840 --> 00:50:44,240 Speaker 1: happened to you? Jack? What is going on? It's self 794 00:50:44,280 --> 00:50:48,040 Speaker 1: destructive behavior? Oh my god, you said it was vitamins 795 00:50:48,120 --> 00:50:53,360 Speaker 1: the other day. To that, I've never once said that 796 00:50:53,440 --> 00:50:56,640 Speaker 1: it is good for me, it has elector like I 797 00:50:56,719 --> 00:50:59,320 Speaker 1: like that you're really clarifying that, like of course you. 798 00:51:00,080 --> 00:51:02,840 Speaker 1: I never just like to say, um, sorry, hold on, 799 00:51:02,880 --> 00:51:06,160 Speaker 1: my attorney is speaking to you. So I've never once 800 00:51:06,640 --> 00:51:10,520 Speaker 1: actually said that mountain dew is vitamins or that it 801 00:51:10,560 --> 00:51:14,560 Speaker 1: gives you superpowers. And if you find audio of me 802 00:51:14,680 --> 00:51:18,640 Speaker 1: saying that it's probably manipulated by super producer Justin, he's 803 00:51:18,640 --> 00:51:22,919 Speaker 1: always trying to put word in my mouth. Wow, wow, Yeah, 804 00:51:23,040 --> 00:51:25,719 Speaker 1: that's why just In this it's I think that's when 805 00:51:25,880 --> 00:51:27,759 Speaker 1: usually when I'm like, oh that you won't let him 806 00:51:27,760 --> 00:51:32,279 Speaker 1: have it, I'm like, okay, we just need yeah, because 807 00:51:32,280 --> 00:51:36,080 Speaker 1: I'm like there over the counter cold medicine hits harder 808 00:51:36,160 --> 00:51:38,279 Speaker 1: over there, and they're also like, look, bro, we get 809 00:51:38,280 --> 00:51:40,760 Speaker 1: it some ship. We don't need all the pharmaceutical companies 810 00:51:40,760 --> 00:51:42,600 Speaker 1: to control most of it. Though. You can have this 811 00:51:42,880 --> 00:51:45,840 Speaker 1: more strong cold medicine, but you're not getting that yellow 812 00:51:45,880 --> 00:51:52,000 Speaker 1: Five the use aversion to cold beverages. I'm not following 813 00:51:52,040 --> 00:51:55,000 Speaker 1: them on it, but I am aware of their thoughts 814 00:51:55,000 --> 00:51:57,799 Speaker 1: on cold beverages that they think it like makes you sick, 815 00:51:58,080 --> 00:52:02,080 Speaker 1: and I'm also aware of it. They're probably right about 816 00:52:02,080 --> 00:52:06,279 Speaker 1: but about I did like revenue streams too, because like 817 00:52:06,320 --> 00:52:08,399 Speaker 1: you go to a market in like Europe, they'll be like, yo, 818 00:52:08,440 --> 00:52:10,080 Speaker 1: you want the cold one. That's like, that's like a 819 00:52:10,120 --> 00:52:12,560 Speaker 1: couple more if you want the cold one. Otherwise you 820 00:52:12,600 --> 00:52:14,680 Speaker 1: can get it in the hot as back of the 821 00:52:14,800 --> 00:52:18,520 Speaker 1: store cheaper and also we u use less energy. But 822 00:52:18,560 --> 00:52:21,120 Speaker 1: that's why they have to hold onto it, because they 823 00:52:21,160 --> 00:52:23,799 Speaker 1: have to save those bottles of cold mountain dew for 824 00:52:23,840 --> 00:52:27,200 Speaker 1: when the river's get hot. That's right, exactly for when 825 00:52:27,280 --> 00:52:32,360 Speaker 1: the nuclear towers neat cooling. I think that was actually 826 00:52:32,680 --> 00:52:36,520 Speaker 1: what mountain dew was originally designed for, was to cool 827 00:52:36,840 --> 00:52:40,200 Speaker 1: nuclear towers. Actually what came out to the other side 828 00:52:40,200 --> 00:52:46,480 Speaker 1: of their actor. It's colder, that's why it's so yellow. 829 00:52:46,520 --> 00:52:49,560 Speaker 1: And it has traveled to the upside down and come 830 00:52:49,600 --> 00:52:53,200 Speaker 1: out the other side and tastes great, is bright green. Somehow, 831 00:52:53,200 --> 00:52:56,080 Speaker 1: it's colder your skin is yellow on us, just the 832 00:52:56,239 --> 00:52:58,640 Speaker 1: jaundice from a bunch of other terrible life decisions. I 833 00:52:58,719 --> 00:53:01,400 Speaker 1: made it, and don't blame the for my yellow complexion. 834 00:53:02,280 --> 00:53:05,359 Speaker 1: Skittles are banned in Sweden and Norway, like straight up, 835 00:53:05,760 --> 00:53:09,439 Speaker 1: they didn't even like they weren't even appeased by them 836 00:53:09,480 --> 00:53:11,560 Speaker 1: taking these. They're like, oh, you wanted to pay for 837 00:53:11,560 --> 00:53:16,040 Speaker 1: your motherfucking healthcare and let you eat skittles. Yeah, exactly, 838 00:53:16,200 --> 00:53:17,920 Speaker 1: you have one or the other. If you want to 839 00:53:17,960 --> 00:53:19,920 Speaker 1: poison yourself, go to the US or they don't give 840 00:53:19,920 --> 00:53:24,239 Speaker 1: a funk about you. And Europe just banned titanium dioxide 841 00:53:24,320 --> 00:53:26,680 Speaker 1: from food products last month, so it just seems like 842 00:53:26,719 --> 00:53:29,759 Speaker 1: we might want to keep an eye on titanium dioxide. 843 00:53:29,800 --> 00:53:35,160 Speaker 1: So you're saying eat less skittles. I might be saying that, 844 00:53:35,320 --> 00:53:37,200 Speaker 1: I don't know on the record. Can we get that 845 00:53:37,239 --> 00:53:39,680 Speaker 1: on the record. No, you may, you know, you may not. 846 00:53:40,200 --> 00:53:44,680 Speaker 1: I'm gonna play five to quote to quote Michael Flynn. 847 00:53:46,200 --> 00:53:48,680 Speaker 1: So it's oh, so they say things that contain the 848 00:53:48,760 --> 00:53:52,400 Speaker 1: most titanium dioxide are usually heavily processed items in the 849 00:53:52,440 --> 00:53:57,160 Speaker 1: categories of candies and sweets, cake decorations, chewing gum, chocolate, 850 00:53:57,280 --> 00:54:02,360 Speaker 1: milk products like not chocolate chocolate milk products, pastries, salad dressings, 851 00:54:02,400 --> 00:54:05,359 Speaker 1: and sauces. Damn, Okay, so I'm gonna make my own 852 00:54:05,360 --> 00:54:09,799 Speaker 1: sauces now. Is that how they get white chocolate? It's 853 00:54:09,840 --> 00:54:15,640 Speaker 1: not pure titanium dioxide. You're eating titanium dioxide. Do you 854 00:54:15,680 --> 00:54:18,640 Speaker 1: know how many times I just lick sunscreen? Folks? This 855 00:54:18,680 --> 00:54:20,200 Speaker 1: is a problem. All right, I'm gonna give you a 856 00:54:20,200 --> 00:54:21,920 Speaker 1: little piece of good news at the end. The lawsuit 857 00:54:22,000 --> 00:54:25,400 Speaker 1: notes of other candy brands, including Sara Patch Kids, Swedish Fish, 858 00:54:25,440 --> 00:54:29,400 Speaker 1: and Nerds, are vibrantly colored like Skittles, yet don't rely 859 00:54:29,560 --> 00:54:37,400 Speaker 1: on titanium dioe Nerds, Nerds Nerds. I knew I with 860 00:54:37,480 --> 00:54:41,880 Speaker 1: nerds and nerd ropes, which are held together with pure 861 00:54:41,960 --> 00:54:48,359 Speaker 1: titanium dix. I don't know that to be true. If 862 00:54:48,400 --> 00:54:51,839 Speaker 1: you look at like the chemical diagram of titanium dioxide, 863 00:54:51,840 --> 00:54:58,080 Speaker 1: it's a nerds rope. Skittles do feel like when I 864 00:54:58,080 --> 00:55:03,560 Speaker 1: when I compare Sarah Patch Kids and Nerds two skittles 865 00:55:03,600 --> 00:55:05,319 Speaker 1: like nerds, you put them in your mouth and you're like, 866 00:55:05,320 --> 00:55:08,000 Speaker 1: oh yeah, this is just dissolving, like it's a bunch 867 00:55:08,000 --> 00:55:10,400 Speaker 1: of sugar that was just called together. Yeah, it's just 868 00:55:10,719 --> 00:55:13,759 Speaker 1: sugar rocks, ye, Sara Pat kids, you know, it's just 869 00:55:13,800 --> 00:55:17,279 Speaker 1: gummy candy that has sugar around it. But like Skittles 870 00:55:17,400 --> 00:55:21,120 Speaker 1: is like this is this has to have been man 871 00:55:21,120 --> 00:55:26,200 Speaker 1: made in some like lab like I this shouldn't exist, 872 00:55:26,360 --> 00:55:28,799 Speaker 1: Like I I get that vibe, like I've I've been 873 00:55:28,920 --> 00:55:32,839 Speaker 1: a Skittle in half and been like, huh what how 874 00:55:32,960 --> 00:55:36,239 Speaker 1: is this so perfect and so good? Like I kind 875 00:55:36,280 --> 00:55:39,040 Speaker 1: of feel the same way about Starburst, They're like so 876 00:55:40,000 --> 00:55:45,280 Speaker 1: damn good. I mean they should be illegal. The vibrant 877 00:55:45,280 --> 00:55:48,680 Speaker 1: colors of Skittles. I think that's how like it isn't 878 00:55:48,680 --> 00:55:51,360 Speaker 1: like in nature, like poisonous plants sometimes have like the 879 00:55:51,400 --> 00:55:55,440 Speaker 1: most vibrant colors to they're trying to in Yeah right, 880 00:55:55,480 --> 00:55:57,959 Speaker 1: But I mean like capitalism was like yep, that part 881 00:55:58,000 --> 00:56:00,640 Speaker 1: will take that idea and we will use it to 882 00:56:01,080 --> 00:56:03,560 Speaker 1: lure you and and and poison you to death. Right 883 00:56:03,600 --> 00:56:05,279 Speaker 1: because when they when they put out I remember when 884 00:56:05,320 --> 00:56:07,640 Speaker 1: Tropical Skittles came out, they're like, yo, you ever seen 885 00:56:07,760 --> 00:56:11,720 Speaker 1: somebody just color print colors on top of a candy before? 886 00:56:12,120 --> 00:56:15,600 Speaker 1: Like the colors are so fucking vivid on those like, man, 887 00:56:15,680 --> 00:56:18,400 Speaker 1: this blue is like giving me a headache just looking 888 00:56:18,440 --> 00:56:21,319 Speaker 1: at it. Wait, so is that what they're putting in 889 00:56:21,440 --> 00:56:24,560 Speaker 1: all those cakes that look like something else, Like it's 890 00:56:24,600 --> 00:56:28,279 Speaker 1: a shoe, but it's a cake. Yeah. That the cake 891 00:56:28,360 --> 00:56:30,960 Speaker 1: topp things really bummed me out because I love a 892 00:56:31,120 --> 00:56:34,560 Speaker 1: nice piece of birthday cake. Well, and now cakes are 893 00:56:34,640 --> 00:56:40,080 Speaker 1: just like next level CIA agents. Yeah, just their cakes 894 00:56:40,120 --> 00:56:45,160 Speaker 1: are like yeah right. I mean I think at the 895 00:56:45,239 --> 00:56:47,200 Speaker 1: end of the day, like part of me like when 896 00:56:47,239 --> 00:56:49,560 Speaker 1: I read this stuff, I'm like, look, I gotta be realistic, man, 897 00:56:49,800 --> 00:56:51,880 Speaker 1: Like my parents let me eat whatever the fuck in 898 00:56:51,920 --> 00:56:55,759 Speaker 1: the eighties and nineties, Like my whole ship isn't titanium dioxide. 899 00:56:55,800 --> 00:56:58,200 Speaker 1: At this point, I don't know what the fund is. Yeah, 900 00:56:58,360 --> 00:57:00,600 Speaker 1: I mean that's my nihilistic you on it is like 901 00:57:01,080 --> 00:57:05,880 Speaker 1: fucked already. Okay. One time my sister drank a whole 902 00:57:05,920 --> 00:57:11,160 Speaker 1: bottle of oil and then she goes, that wasn't apple juice? Oil? 903 00:57:11,440 --> 00:57:17,880 Speaker 1: What kind of oil? Canla oil? She drinks the whole thing. 904 00:57:18,760 --> 00:57:23,920 Speaker 1: This is America to drink. We drink the glass and 905 00:57:23,960 --> 00:57:27,720 Speaker 1: then we go, now, that wasn't apple juice. Yeah, that 906 00:57:27,840 --> 00:57:32,880 Speaker 1: was poison, correct, not even one of the best oils 907 00:57:32,920 --> 00:57:35,920 Speaker 1: to chug. And then you have canola burbs for the 908 00:57:36,000 --> 00:57:38,760 Speaker 1: next day. Wait, I'm sorry, how do you What was 909 00:57:38,800 --> 00:57:41,240 Speaker 1: the canola like in the fridge? Is that why? And 910 00:57:41,280 --> 00:57:44,520 Speaker 1: you're like my mom at it in a glass ready 911 00:57:44,520 --> 00:57:51,880 Speaker 1: for a recipe? Oh yeah, oh apple juice. Yeah, she 912 00:57:52,000 --> 00:57:54,920 Speaker 1: drink the whole thing. And then after she drank the 913 00:57:54,920 --> 00:57:59,200 Speaker 1: whole thing, she goes, that wasn't apple juice. So many, 914 00:57:59,240 --> 00:58:01,560 Speaker 1: so many things are the color of apple juice. It's 915 00:58:01,600 --> 00:58:04,240 Speaker 1: really you gotta watch out out there. We need we see, 916 00:58:04,240 --> 00:58:08,200 Speaker 1: we need Jam tote on that. Thank you. Anyways, shout 917 00:58:08,200 --> 00:58:11,960 Speaker 1: out to Jam for the skittles or poison stories advocacy. 918 00:58:12,160 --> 00:58:15,680 Speaker 1: And he is writing from the Great Land of Canada, 919 00:58:15,880 --> 00:58:19,560 Speaker 1: so he's not the FDA hasn't gotten to him yet. 920 00:58:21,600 --> 00:58:26,560 Speaker 1: Brave Canada, Yes, Brave Canada. Well, it's been such a 921 00:58:26,560 --> 00:58:29,800 Speaker 1: pleasure as always having you. Where can people find you? 922 00:58:30,000 --> 00:58:32,600 Speaker 1: Follow you all that good stuff? Check me out on 923 00:58:32,720 --> 00:58:36,320 Speaker 1: Zara comedy dot com. Also, I'm teaching a series of 924 00:58:36,360 --> 00:58:40,120 Speaker 1: workshops online that you can take in comedy writing and 925 00:58:40,160 --> 00:58:43,600 Speaker 1: solo performance and in stand up and storytelling. Check them out. 926 00:58:43,920 --> 00:58:49,560 Speaker 1: They're available on my website, Zara Comedy dot com. Hey 927 00:58:50,360 --> 00:58:56,440 Speaker 1: h a comedy Yeah, hyeah, A bit of an expert 928 00:58:56,520 --> 00:59:00,640 Speaker 1: on the storytelling and performing. I'd say, so you heard 929 00:59:00,720 --> 00:59:06,200 Speaker 1: it here folk, you know what's up. That's money, Come 930 00:59:06,200 --> 00:59:10,480 Speaker 1: and get me before the skittles. The skittles take hold. 931 00:59:11,080 --> 00:59:12,960 Speaker 1: We were somewhere on the edge of the desert when 932 00:59:12,960 --> 00:59:17,280 Speaker 1: the skittles took hold. What what is the tweet or 933 00:59:17,320 --> 00:59:20,280 Speaker 1: some of the work of social media that you've been enjoying? Ah, 934 00:59:20,440 --> 00:59:25,040 Speaker 1: so glad you asked me. This comes from Natte Fernald 935 00:59:26,160 --> 00:59:32,040 Speaker 1: and a t e h. I'm a sound editor for 936 00:59:32,120 --> 00:59:34,440 Speaker 1: film and TV. It's my job to turn the volume 937 00:59:34,480 --> 00:59:36,960 Speaker 1: way down when people are talking and then crank it 938 00:59:37,040 --> 00:59:40,600 Speaker 1: hard when things are exploding and clinging around. I hope 939 00:59:40,600 --> 00:59:48,439 Speaker 1: you've been enjoying my work, smiley face. That's true as 940 00:59:49,280 --> 00:59:52,959 Speaker 1: he has. Dude, he has a website where like it's 941 00:59:53,000 --> 00:59:56,720 Speaker 1: all stuff printed on it where it's like something's too horny. 942 00:59:56,760 --> 01:00:00,880 Speaker 1: I gotta ask her, majesty, because it's like he has 943 01:00:00,920 --> 01:00:04,000 Speaker 1: like he puts his energy into some fantastic bits. Nate 944 01:00:04,480 --> 01:00:06,960 Speaker 1: show him miles. Where can people find you? What's a 945 01:00:07,000 --> 01:00:10,200 Speaker 1: tweet you've been enjoying? I me on Twitter and Instagram 946 01:00:10,240 --> 01:00:13,520 Speaker 1: at Miles of Gray mad boostie. This is another place 947 01:00:13,560 --> 01:00:15,520 Speaker 1: you can find Jack and I or you can find 948 01:00:15,520 --> 01:00:19,240 Speaker 1: me and Sophia Alexander on four twenty day Fiance, which 949 01:00:19,320 --> 01:00:22,680 Speaker 1: is as me being an alien. That's the reality mess 950 01:00:22,800 --> 01:00:25,640 Speaker 1: I look at for entertainment, but it just happens to 951 01:00:25,680 --> 01:00:29,640 Speaker 1: be on our earth. Um. Okay, Let's see a couple 952 01:00:29,640 --> 01:00:35,400 Speaker 1: of tweets. I like, where is it? Where is it? Oh? 953 01:00:35,480 --> 01:00:38,840 Speaker 1: Okay here. This one's from Anthony b. L Smith at 954 01:00:38,840 --> 01:00:43,640 Speaker 1: Anthony Bale Smith that's tweeted Bugada Peppo, Free my soul. 955 01:00:43,920 --> 01:00:51,000 Speaker 1: I want to get lots in my possible Um, I 956 01:00:51,040 --> 01:00:59,040 Speaker 1: mean buh man uh. And then another one is just 957 01:00:59,080 --> 01:01:01,040 Speaker 1: from look the move. The Nope is coming out and 958 01:01:01,080 --> 01:01:05,000 Speaker 1: I've been so excited. Yeah, like just talking about it. 959 01:01:05,080 --> 01:01:08,440 Speaker 1: Joel Monique shout out Joel at Joel Mouni tweeted by 960 01:01:08,520 --> 01:01:11,120 Speaker 1: two tickets to Nope because you will definitely want to 961 01:01:11,120 --> 01:01:14,400 Speaker 1: see it again in absolute stunner of a movie I experienced, 962 01:01:15,920 --> 01:01:23,200 Speaker 1: and I'm like, yeah, I'm so excr hell, yeah, I 963 01:01:23,280 --> 01:01:31,600 Speaker 1: want and drift bugat Peppo. I had bugat a Beppo 964 01:01:31,680 --> 01:01:35,040 Speaker 1: and free my soul stuck in my head all day yesterday. 965 01:01:35,720 --> 01:01:40,000 Speaker 1: Let's see some tweets I've been enjoy I'll just do one. 966 01:01:40,040 --> 01:01:44,800 Speaker 1: Elizabeth Handgun tweeted a story Europe has the selettiest men. 967 01:01:44,880 --> 01:01:46,640 Speaker 1: Two of them tried to get us to come to 968 01:01:46,720 --> 01:01:49,760 Speaker 1: their hotel and we told them we had boyfriends and 969 01:01:49,800 --> 01:01:52,720 Speaker 1: they said, we can fuck your boyfriends too. I simply 970 01:01:52,720 --> 01:01:55,440 Speaker 1: could not make this up. So shout out to European man. 971 01:01:55,720 --> 01:02:04,880 Speaker 1: Just out here, Yeah, anyone and generous. Yes, you can 972 01:02:04,920 --> 01:02:08,920 Speaker 1: find me on Twitter at Jack Underscore O'Brien. You can 973 01:02:08,920 --> 01:02:11,720 Speaker 1: find us on Twitter at Daily Zeitgeist. We're at the 974 01:02:11,880 --> 01:02:14,800 Speaker 1: Daily Zeitgeist on Instagram. We have a Facebook fan page 975 01:02:14,800 --> 01:02:17,760 Speaker 1: and a website, Daily zeitgeist dot com, where we post 976 01:02:17,880 --> 01:02:21,080 Speaker 1: our episodes and our foot notes. Well, we link off 977 01:02:21,120 --> 01:02:23,880 Speaker 1: to the information that we talked about in today's episode, 978 01:02:23,880 --> 01:02:26,560 Speaker 1: as well as a song that we think you might enjoy. 979 01:02:27,640 --> 01:02:30,560 Speaker 1: What song do we think people might do? Very sing 980 01:02:30,680 --> 01:02:33,040 Speaker 1: song in your heart. Let's just go out on a 981 01:02:33,160 --> 01:02:37,280 Speaker 1: very h agro beat, something that when you listen, you 982 01:02:37,320 --> 01:02:39,080 Speaker 1: were gonna I mean, I don't know if you're gonna 983 01:02:39,200 --> 01:02:43,720 Speaker 1: if you're using the recumbent bikers just say you're gonna 984 01:02:43,720 --> 01:02:46,600 Speaker 1: ship your pants. You're gonna ship your pants with rage 985 01:02:46,600 --> 01:02:48,200 Speaker 1: when you hear this and you're gonna put your head 986 01:02:48,200 --> 01:02:51,040 Speaker 1: through the wall because it's so fucking turned up. Uh. 987 01:02:51,120 --> 01:02:53,920 Speaker 1: This is a track called Devil by a l X 988 01:02:54,000 --> 01:02:57,000 Speaker 1: Beats Alex Beats, and it's like kind of like one 989 01:02:57,000 --> 01:02:59,120 Speaker 1: of those FONK tracks you hear like on a lot 990 01:02:59,160 --> 01:03:01,600 Speaker 1: of TikTok videos people like doing drift moves in their car, 991 01:03:01,960 --> 01:03:05,160 Speaker 1: but this one has like a very aggro torn tune 992 01:03:05,200 --> 01:03:06,800 Speaker 1: to it. So if you're looking for something to maybe 993 01:03:06,920 --> 01:03:08,920 Speaker 1: load up when you work out and you're one of 994 01:03:08,960 --> 01:03:11,360 Speaker 1: those people who respond to like kind of heavy ship 995 01:03:11,520 --> 01:03:14,120 Speaker 1: when you need to get uh, find another gear physically, 996 01:03:14,480 --> 01:03:17,280 Speaker 1: this is it for you. Start working with Devil by 997 01:03:17,280 --> 01:03:21,360 Speaker 1: Alex Beats. This is it for you. You understand what 998 01:03:21,400 --> 01:03:25,560 Speaker 1: I say to my enemies before I dispatched um the 999 01:03:25,640 --> 01:03:28,040 Speaker 1: daily see guys the production by Heart Radio. For more 1000 01:03:28,080 --> 01:03:30,480 Speaker 1: podcast for my Heart Radio, visit the I Heart Radio app, 1001 01:03:30,520 --> 01:03:33,280 Speaker 1: Apple podcast, or wherever you listen to your favorite shows. 1002 01:03:33,400 --> 01:03:35,120 Speaker 1: That is going to do it for us this morning. 1003 01:03:35,400 --> 01:03:37,600 Speaker 1: We're back this afternoon to tell you what is trending 1004 01:03:37,600 --> 01:03:43,200 Speaker 1: and we will talk to y'all. Bye bye,