1 00:00:00,440 --> 00:00:03,519 Speaker 1: Hello the Internet, and welcome to season to sixty six, 2 00:00:03,640 --> 00:00:09,160 Speaker 1: episode four of Jar Dailish Guys production of I Heart Radio. 3 00:00:09,320 --> 00:00:12,760 Speaker 1: Just four hundred shy of the season that we've all 4 00:00:12,800 --> 00:00:17,280 Speaker 1: been waiting for, Season six hundred sixty six. We're so close. Yeah, 5 00:00:18,040 --> 00:00:22,079 Speaker 1: because because I'm cool and stuff fucking twisted. This is 6 00:00:22,120 --> 00:00:24,680 Speaker 1: a podcast where you take a deep dive into America's 7 00:00:24,680 --> 00:00:30,840 Speaker 1: shared consciousness. And it's Thursday, December eight two? Is it? 8 00:00:31,280 --> 00:00:33,720 Speaker 1: Know that? What? What? What? Would this be the seventeenth 9 00:00:33,800 --> 00:00:36,800 Speaker 1: day of Christmas? So we don't do that. I was like, 10 00:00:36,840 --> 00:00:39,920 Speaker 1: where are you going with that? Sort of birds do 11 00:00:40,000 --> 00:00:44,640 Speaker 1: they give you on the seventeenth day of Christmas? Seventeen 12 00:00:44,680 --> 00:00:54,200 Speaker 1: pigeons flocking? Seventeen dead pigeons. My name is Jack O'Brien. Ak, Mama, 13 00:00:54,440 --> 00:00:59,520 Speaker 1: take this glass from me. I can't chug it any 14 00:00:59,640 --> 00:01:05,000 Speaker 1: mam My milky throats too thick to speak. I feel 15 00:01:05,120 --> 00:01:10,720 Speaker 1: like I'm knogging on Heaven's door, knog knog, knocking on 16 00:01:10,840 --> 00:01:13,440 Speaker 1: Heaven's door. Yeah, I know you wanted to come me 17 00:01:13,440 --> 00:01:19,759 Speaker 1: off before. Yeah, yeah, not knock knocking on heavens No? Wow, 18 00:01:20,959 --> 00:01:24,800 Speaker 1: all right. That is courtesy of Blake Rogers, and I'm 19 00:01:24,840 --> 00:01:27,959 Speaker 1: thrilled to be joined as always when Miles is out 20 00:01:28,800 --> 00:01:31,280 Speaker 1: by a very special guest co host, one of the 21 00:01:31,280 --> 00:01:34,119 Speaker 1: EPs on this very network, the King of sting that 22 00:01:34,200 --> 00:01:39,000 Speaker 1: bitch on Twitch, it's DJ Daniel good Man. Get your 23 00:01:39,080 --> 00:01:41,480 Speaker 1: lighters up for that. A k A. Well done, Jack, 24 00:01:41,520 --> 00:01:45,280 Speaker 1: You totally crushed that one flat coming out of the gates. 25 00:01:45,319 --> 00:01:47,319 Speaker 1: But I think you sounded great. It is your boy, 26 00:01:47,400 --> 00:01:49,280 Speaker 1: d J Daniel. Happy to be here a k A. 27 00:01:49,760 --> 00:01:51,480 Speaker 1: I forgot to ask someone on Twitter, but I'll stick 28 00:01:51,520 --> 00:01:53,600 Speaker 1: with Mr Steel your aerial Yes, check me out on 29 00:01:53,640 --> 00:01:56,480 Speaker 1: Twitch playing Rocket League and being bad at it. Anyway. 30 00:01:56,600 --> 00:01:59,600 Speaker 1: Happy to be here to be arial, Yeah, because when 31 00:01:59,600 --> 00:02:01,400 Speaker 1: you fly in the air and the ball it's I 32 00:02:01,400 --> 00:02:03,200 Speaker 1: don't know, it's a real niche joke. For the people 33 00:02:03,240 --> 00:02:05,000 Speaker 1: who play the game, they're like, oh, I get that, 34 00:02:05,040 --> 00:02:07,800 Speaker 1: And for ninety per seven listening audience, they're like, are 35 00:02:07,840 --> 00:02:14,480 Speaker 1: you talking about that? You're headed for steal your ariola. 36 00:02:15,160 --> 00:02:18,680 Speaker 1: That's a different podcast. Yes. Anyways, we are thrilled to 37 00:02:18,680 --> 00:02:20,840 Speaker 1: be joined in our third and fourth seats by the 38 00:02:20,880 --> 00:02:24,000 Speaker 1: hosts of the podcast A Matter of Degrees, which tell 39 00:02:24,080 --> 00:02:26,920 Speaker 1: stories about the powerful forces behind climate change and the 40 00:02:26,919 --> 00:02:29,880 Speaker 1: tools we have to fix it. Please welcome the brilliant 41 00:02:29,960 --> 00:02:39,239 Speaker 1: and accomplish Dr Leah Stokes and Dr Catherine Wilkinson. Hey, 42 00:02:39,800 --> 00:02:41,880 Speaker 1: I think to make the intros extra dumb when we 43 00:02:41,960 --> 00:02:45,880 Speaker 1: have like esteemed guests, so that you guys just know 44 00:02:45,960 --> 00:02:48,840 Speaker 1: what you're in for. We're not we're not real doctors. 45 00:02:48,880 --> 00:02:50,800 Speaker 1: Just to be clear. I mean we have doctor it's 46 00:02:50,840 --> 00:02:53,360 Speaker 1: but we can't not perform surgery or anything like that. 47 00:02:53,520 --> 00:02:56,280 Speaker 1: Just want to get out, not even like stitches barely 48 00:02:56,280 --> 00:02:59,799 Speaker 1: a band aid. Yes, oh doctors. Nonetheless, that is that 49 00:03:00,000 --> 00:03:03,880 Speaker 1: accounts in my book. And yeah, if I even got 50 00:03:03,919 --> 00:03:06,480 Speaker 1: close to a doctorate, I would make make people call 51 00:03:06,600 --> 00:03:14,040 Speaker 1: me doctor, including my kids and a wife. So who 52 00:03:14,120 --> 00:03:17,800 Speaker 1: was a doctor? Who is a doctor, but really like 53 00:03:17,880 --> 00:03:20,919 Speaker 1: an actual doctor. Yeah, she's a she's an actual doctor. 54 00:03:21,560 --> 00:03:25,240 Speaker 1: That might annoy her a lot. I think you should 55 00:03:25,240 --> 00:03:29,519 Speaker 1: stay undoctorated or I'm annoyed by the fact that she's 56 00:03:29,560 --> 00:03:32,680 Speaker 1: a doctor. And when we say hey, how's your day, 57 00:03:32,800 --> 00:03:37,400 Speaker 1: she has like life changing stories of how she, you know, 58 00:03:37,600 --> 00:03:41,800 Speaker 1: helped people, And I'm like, I almost introduced Miles and 59 00:03:41,920 --> 00:03:49,000 Speaker 1: Daniel was the guest host. That's a mess, babe. How 60 00:03:49,040 --> 00:03:50,640 Speaker 1: are you guys doing? Where are you coming to us? 61 00:03:50,640 --> 00:03:54,320 Speaker 1: From Well, I'm in sunny Santa Barbara, California, the best 62 00:03:54,640 --> 00:03:57,040 Speaker 1: place to live in America. I love it here. It's 63 00:03:57,080 --> 00:04:02,000 Speaker 1: always beautiful here. That's wonderful. Shout and I am I'm 64 00:04:02,080 --> 00:04:06,720 Speaker 1: joining from Atlanta, Georgia, which I mean, hallifucking luiyah. It 65 00:04:06,840 --> 00:04:13,200 Speaker 1: is a good day. And yes, hold it out of 66 00:04:13,240 --> 00:04:17,360 Speaker 1: our teeth, I'm assuming, thank you for your service. Votage. Yes, 67 00:04:17,880 --> 00:04:20,680 Speaker 1: the right side on that one, oh, the left side, 68 00:04:21,720 --> 00:04:27,440 Speaker 1: the left side being the right side. Yes, well that's good. 69 00:04:27,640 --> 00:04:30,359 Speaker 1: That's that's big news that I think we're all happy. 70 00:04:30,960 --> 00:04:34,840 Speaker 1: Two days later, I guess, but yes, good day because 71 00:04:34,920 --> 00:04:38,880 Speaker 1: with this drops tomorrow, but yeah, yeah, good good, it'll 72 00:04:38,880 --> 00:04:42,600 Speaker 1: still be a good day, a good day in Georgia, 73 00:04:43,240 --> 00:04:47,159 Speaker 1: Blue Georgia. Six years. You know, it's a lot like 74 00:04:47,200 --> 00:04:50,080 Speaker 1: if we'd had to have hershel Walker for six years. 75 00:04:51,440 --> 00:04:53,560 Speaker 1: I don't think he would have lasted, like I don't know, 76 00:04:53,680 --> 00:04:57,200 Speaker 1: I don't know. I think he probably would quit. Yeah, yeah, yeah, 77 00:04:57,520 --> 00:05:00,480 Speaker 1: that is. The werewolves would have gotten him, so you know, yeah, 78 00:05:00,520 --> 00:05:06,880 Speaker 1: the werewolves. That's actual werewolf attack. Been impressive. Anyways, Uh, 79 00:05:07,040 --> 00:05:08,880 Speaker 1: we're gonna get to know you both a little bit 80 00:05:08,880 --> 00:05:10,640 Speaker 1: better in a moment. First, We're gonna tell our listeners 81 00:05:10,640 --> 00:05:12,880 Speaker 1: a couple of things we're talking about today. I want 82 00:05:12,920 --> 00:05:16,440 Speaker 1: to talk to you both about climate change as a 83 00:05:16,480 --> 00:05:21,480 Speaker 1: mass mental health event that gets ignored by the mainstream media. 84 00:05:22,000 --> 00:05:24,800 Speaker 1: We might talk a little bit about effective altruism that 85 00:05:24,880 --> 00:05:28,719 Speaker 1: movement and just what we're learning about the truth around 86 00:05:28,760 --> 00:05:32,400 Speaker 1: that movement. And I'd be again curious to hear y'all 87 00:05:32,480 --> 00:05:35,200 Speaker 1: thoughts on on that one. We are going to talk 88 00:05:35,200 --> 00:05:39,440 Speaker 1: about t g I Friday's mott Sticks got no motts. 89 00:05:40,160 --> 00:05:42,040 Speaker 1: We might actually just skip right to that and talk 90 00:05:42,080 --> 00:05:46,120 Speaker 1: about only that that seems really important on the climate issues. 91 00:05:46,240 --> 00:05:49,640 Speaker 1: I mean that I put right at the top. Yeah, 92 00:05:49,880 --> 00:05:52,680 Speaker 1: I heard your motstick episode. It was it was pretty good. 93 00:05:52,839 --> 00:05:56,680 Speaker 1: It was you got to some really interesting places. All 94 00:05:56,720 --> 00:05:59,520 Speaker 1: of that plenty more. But before we get to any 95 00:05:59,520 --> 00:06:02,039 Speaker 1: of that, we do like to ask our guests, what 96 00:06:02,240 --> 00:06:06,480 Speaker 1: is something from your search histories that is revealing about 97 00:06:06,640 --> 00:06:10,680 Speaker 1: who you are? Catherine, you want to start us off? Sure? 98 00:06:11,240 --> 00:06:14,240 Speaker 1: I looked, and I was like, what's sort of weird 99 00:06:14,320 --> 00:06:20,839 Speaker 1: and illuminating here? Horse head bumpers head bumper? Yeah was one. 100 00:06:21,000 --> 00:06:24,200 Speaker 1: So I'm a horse. I'm a horse, mom, And um, 101 00:06:24,640 --> 00:06:26,560 Speaker 1: that's how you like to Greek with a little head 102 00:06:26,600 --> 00:06:29,840 Speaker 1: bump a little it's like a little thing that they 103 00:06:29,839 --> 00:06:32,200 Speaker 1: wear on their head if they have to travel, so 104 00:06:32,240 --> 00:06:34,760 Speaker 1: that if they freak out, which he does and fling 105 00:06:34,800 --> 00:06:37,599 Speaker 1: their head in the air, they don't also split their 106 00:06:38,400 --> 00:06:41,320 Speaker 1: skull open. So it's like a little it's like a 107 00:06:41,320 --> 00:06:47,280 Speaker 1: really dorky kind of like thick leather pope cap, which 108 00:06:47,320 --> 00:06:51,599 Speaker 1: pope cap, because pope hats can get pretty wild. I'm 109 00:06:51,640 --> 00:06:56,040 Speaker 1: thinking like, well, you know the curvy one, yeah, yeah, yeah, 110 00:06:56,080 --> 00:07:00,440 Speaker 1: that is good. There might be some really interesting actions 111 00:07:00,480 --> 00:07:07,400 Speaker 1: to take horse bumpers in the whole pope hat. Yeah. 112 00:07:07,440 --> 00:07:10,320 Speaker 1: I feel like I haven't seen the big good pope 113 00:07:10,320 --> 00:07:13,520 Speaker 1: hat in a while. The one that's just not really 114 00:07:13,880 --> 00:07:16,800 Speaker 1: like any other hat that has ever been worn by 115 00:07:16,800 --> 00:07:20,920 Speaker 1: anyone else. Is just the size of a of a 116 00:07:21,040 --> 00:07:26,720 Speaker 1: large basket, like a clothing hamper on top of someone's head. 117 00:07:27,040 --> 00:07:29,080 Speaker 1: I don't know why that's what I want with holding 118 00:07:29,120 --> 00:07:32,800 Speaker 1: in all that hair, but for some reason, this is 119 00:07:32,840 --> 00:07:35,760 Speaker 1: making me wonder how the Pope feels about White Lotus 120 00:07:36,480 --> 00:07:41,200 Speaker 1: and if he's been watching this series, maybe if phillippear 121 00:07:41,320 --> 00:07:43,520 Speaker 1: in the finale. These are all questions that are now 122 00:07:43,600 --> 00:07:47,760 Speaker 1: coming up for Yeah, there's a lot of religious art 123 00:07:48,080 --> 00:07:51,760 Speaker 1: in there, so who knows. How about you, Leah, what 124 00:07:51,760 --> 00:07:55,080 Speaker 1: what's something from your search history that's revealing about who 125 00:07:55,080 --> 00:07:57,920 Speaker 1: you are? Well? One of the most recent things I 126 00:07:58,000 --> 00:08:01,640 Speaker 1: searched was Mistress America Tree Trailer, which is a movie 127 00:08:01,960 --> 00:08:04,640 Speaker 1: directed by Gretti Greerwig. I was reading a long profile 128 00:08:04,680 --> 00:08:06,920 Speaker 1: about her, and the secret to my productivity is that 129 00:08:06,960 --> 00:08:09,760 Speaker 1: I don't really watch movies. I watch movie trailers, and 130 00:08:09,840 --> 00:08:13,120 Speaker 1: so on any given day I was searching a trailer. 131 00:08:13,440 --> 00:08:16,240 Speaker 1: I mean, most movie trailers give you the entire story 132 00:08:16,280 --> 00:08:18,560 Speaker 1: in like two and a half minutes and then you're done. 133 00:08:18,600 --> 00:08:20,720 Speaker 1: You don't really have to watch the movies, and they're 134 00:08:20,760 --> 00:08:24,840 Speaker 1: so emotional, they'll pack all those emotions in there. Why 135 00:08:24,840 --> 00:08:27,760 Speaker 1: don't we have like Best Trailer Awards at the Oscars. 136 00:08:28,000 --> 00:08:33,440 Speaker 1: I've asked this question many times. A brilliant observations, desperately needed, 137 00:08:33,520 --> 00:08:37,200 Speaker 1: and not enough credit given to those trailer cutters, right, exactly, 138 00:08:37,320 --> 00:08:40,600 Speaker 1: They're the unsung heroes of our time. Really, thank you? 139 00:08:41,640 --> 00:08:43,840 Speaker 1: Are they the same people who do like the emotional 140 00:08:44,040 --> 00:08:48,120 Speaker 1: sports video stories like for the Olympics, you know, those 141 00:08:48,160 --> 00:08:51,440 Speaker 1: little like they take you on that same emotional roller 142 00:08:51,440 --> 00:08:53,640 Speaker 1: coaster in two and a half minutes before the next 143 00:08:53,760 --> 00:08:57,760 Speaker 1: like hundred meter whatever. Yeah, just make you weep. I'm 144 00:08:57,880 --> 00:09:00,560 Speaker 1: such a baby for those. They make me cry every 145 00:09:00,559 --> 00:09:05,199 Speaker 1: single time. I love an emotional Olympic story, micro emotional 146 00:09:05,280 --> 00:09:09,840 Speaker 1: roller coaster. That's like a professional skill set. H I 147 00:09:09,920 --> 00:09:13,040 Speaker 1: just looked at the run time for Avatar to the 148 00:09:13,080 --> 00:09:17,280 Speaker 1: Way of the Water and it is like, not, it 149 00:09:17,400 --> 00:09:19,400 Speaker 1: is not a number that I've ever seen as a 150 00:09:19,520 --> 00:09:22,520 Speaker 1: run time before. You do have a three hours in 151 00:09:22,520 --> 00:09:24,720 Speaker 1: the front of it. Well yeah, but they didn't do it. 152 00:09:24,720 --> 00:09:28,080 Speaker 1: It was like a hundred and nineties something minutes. Wow, 153 00:09:28,160 --> 00:09:32,160 Speaker 1: so three hours ten. They don't let you to know 154 00:09:32,760 --> 00:09:36,200 Speaker 1: the like maybe you can't do the math. Can't do math, 155 00:09:36,760 --> 00:09:39,400 Speaker 1: They'll just go to the movie. But I'm excited to 156 00:09:39,400 --> 00:09:42,000 Speaker 1: see that, but less a little less excited. I might 157 00:09:42,000 --> 00:09:45,199 Speaker 1: just watch the trailer and know right just I mean, 158 00:09:45,240 --> 00:09:47,360 Speaker 1: you're gonna you're gonna find out the whole plot who 159 00:09:47,440 --> 00:09:51,080 Speaker 1: dies with the romances and we just need you get 160 00:09:51,840 --> 00:09:54,679 Speaker 1: How was the Gretor Girarwig trailer? It was great? I mean, 161 00:09:54,720 --> 00:09:57,760 Speaker 1: I love Greti Garwig. I should probably actually watch the movie, 162 00:09:57,800 --> 00:10:00,120 Speaker 1: like that is something that I should maybe give time do. 163 00:10:00,240 --> 00:10:01,599 Speaker 1: But you know what I did give time to is 164 00:10:01,679 --> 00:10:04,040 Speaker 1: the extremely long profile about her. So I have time 165 00:10:04,080 --> 00:10:06,360 Speaker 1: to read. I just don't always have time to watch 166 00:10:07,440 --> 00:10:10,320 Speaker 1: to our movies. I mean, God, bless you're far more 167 00:10:10,440 --> 00:10:13,240 Speaker 1: enriched for it for given time to reading more than watching, Like, 168 00:10:13,320 --> 00:10:17,040 Speaker 1: props to you on that one. I'm like the last 169 00:10:17,120 --> 00:10:22,680 Speaker 1: person in America still reads it up here. So this 170 00:10:22,760 --> 00:10:25,840 Speaker 1: is not the Barbie movie that we've been cooking. No, 171 00:10:26,080 --> 00:10:28,160 Speaker 1: but it was about the Barbie movie. And did you 172 00:10:28,200 --> 00:10:31,960 Speaker 1: see those skills? They were amazing? Oh my god, I 173 00:10:31,960 --> 00:10:35,040 Speaker 1: mean the skills have been incredible. But Gregi Gerdwick has 174 00:10:35,080 --> 00:10:38,840 Speaker 1: another more serious film dropping before that. No, No, it's 175 00:10:38,880 --> 00:10:40,800 Speaker 1: actually old. I mean, why would you think I'm up 176 00:10:40,920 --> 00:10:46,400 Speaker 1: up to speed on culture, hair and America? Is it's old? Yeah? 177 00:10:46,760 --> 00:10:51,559 Speaker 1: Just I'm not watching current trailers. Okay, I'm not that 178 00:10:51,640 --> 00:10:57,920 Speaker 1: him cutting edge watching current trailers, watching trailers from seven 179 00:10:57,960 --> 00:11:01,720 Speaker 1: years ago. That is what I do with my time yet. Okay, Leah, 180 00:11:01,760 --> 00:11:04,679 Speaker 1: what is something you think is overrated? Okay, you ready 181 00:11:04,679 --> 00:11:10,600 Speaker 1: for it? Gas stoves? Why did I go there? Okay? Well, 182 00:11:10,640 --> 00:11:13,280 Speaker 1: you know cooking with gas? Right, everybody thinks they're so great. 183 00:11:13,360 --> 00:11:16,760 Speaker 1: Actually they poison you and blow up your house and 184 00:11:17,200 --> 00:11:21,280 Speaker 1: put carcinogens into the air, and they're terrible. So every 185 00:11:21,320 --> 00:11:23,600 Speaker 1: time I watch a home renovation show and they put 186 00:11:23,640 --> 00:11:25,800 Speaker 1: a new Gaes stove in, I'm like, a fairy just died. 187 00:11:25,920 --> 00:11:28,400 Speaker 1: That is the worst thing I've ever seen. Gas stoves 188 00:11:28,400 --> 00:11:32,120 Speaker 1: are terrible for you and the planet. What is the 189 00:11:32,160 --> 00:11:34,960 Speaker 1: fairy just died? Right? Why did the fairy die? Because 190 00:11:35,000 --> 00:11:36,880 Speaker 1: fairies die when you put in guest stoves. I don't 191 00:11:36,880 --> 00:11:38,640 Speaker 1: know if you knew that. That's like a new scientific 192 00:11:38,679 --> 00:11:41,400 Speaker 1: paper that just came out. It's that tick tick tick 193 00:11:42,120 --> 00:11:43,920 Speaker 1: that's right here. When you're trying to get the stove 194 00:11:44,040 --> 00:11:46,480 Speaker 1: going and it tick tick tick, that's a fairy. That's 195 00:11:46,480 --> 00:11:50,760 Speaker 1: a dead fair that just keeps keeps going exactly, or 196 00:11:50,800 --> 00:11:52,880 Speaker 1: the one burner that doesn't light, and then you're smelling 197 00:11:52,920 --> 00:11:55,800 Speaker 1: that smell of gas and that's like that that's not 198 00:11:55,920 --> 00:11:58,040 Speaker 1: good for your health. You're right, I didn't know all 199 00:11:58,080 --> 00:12:00,800 Speaker 1: that stuff about it being bad and that it was 200 00:12:00,840 --> 00:12:03,600 Speaker 1: going to blow up my house. Yeah, dude, I mean 201 00:12:03,640 --> 00:12:09,079 Speaker 1: I think get your kids asthma. Yeah, yeah, forty more 202 00:12:09,120 --> 00:12:10,640 Speaker 1: likely to have asthma if you grow up in a 203 00:12:10,679 --> 00:12:12,840 Speaker 1: house with a gas stove I'm currently running in my 204 00:12:12,920 --> 00:12:15,360 Speaker 1: house to get rid of my guest stove amongst all 205 00:12:15,360 --> 00:12:18,520 Speaker 1: other gas appliances. And so we're in an airbnb right now. 206 00:12:18,600 --> 00:12:21,640 Speaker 1: There's a super sketchy gas stove here, and there's one 207 00:12:21,679 --> 00:12:23,959 Speaker 1: of those like events really high in the ceiling that 208 00:12:24,040 --> 00:12:26,280 Speaker 1: definitely doesn't do anything, And every time I turn it on, 209 00:12:26,320 --> 00:12:28,320 Speaker 1: I'm like, wow, I'm just like poisoning my children. This 210 00:12:28,400 --> 00:12:33,560 Speaker 1: is awesome. Love this, love this. How about you, Katherine, 211 00:12:33,559 --> 00:12:37,000 Speaker 1: what's something that you think is overrated? So I'll stick 212 00:12:37,040 --> 00:12:42,040 Speaker 1: on the you know, planetary nerd fame. Recycling I think 213 00:12:42,320 --> 00:12:47,200 Speaker 1: is overrated. Like I am a recycler, hardcore for forever, 214 00:12:48,000 --> 00:12:50,920 Speaker 1: but it struck me a new Last weekend. I was 215 00:12:50,960 --> 00:12:54,520 Speaker 1: in a like non climate people conversation. I was like, 216 00:12:54,679 --> 00:12:59,360 Speaker 1: people think that recycling is like of the problem. We're 217 00:12:59,400 --> 00:13:05,200 Speaker 1: the opportunity. Like I'm like, list like, like, let's recycle, 218 00:13:05,280 --> 00:13:08,400 Speaker 1: but I'm like, how we're like really missing the forest 219 00:13:08,520 --> 00:13:12,559 Speaker 1: for the one recycled tree here. Like the only thing 220 00:13:12,600 --> 00:13:15,240 Speaker 1: that they gave us for a long time, right, it 221 00:13:15,320 --> 00:13:17,760 Speaker 1: was the only information they gave us was like the 222 00:13:17,800 --> 00:13:22,080 Speaker 1: planet's dying, uh, and here's something you can do that's 223 00:13:22,120 --> 00:13:24,360 Speaker 1: marginally better than the other thing, and we were like, 224 00:13:24,400 --> 00:13:28,959 Speaker 1: all right on it, thank you, We know our assignment well. 225 00:13:29,040 --> 00:13:33,040 Speaker 1: And the fossil fuel industry was like, we're going to 226 00:13:33,160 --> 00:13:37,080 Speaker 1: hype this whole recycling thing as the solution to the 227 00:13:37,120 --> 00:13:41,360 Speaker 1: plastic problem and then we'll get people not to pay 228 00:13:41,360 --> 00:13:44,160 Speaker 1: attention to all the rest of what's happening. And so 229 00:13:44,360 --> 00:13:46,679 Speaker 1: also there was like a lot of money that went 230 00:13:46,720 --> 00:13:51,760 Speaker 1: into making recycling the thing, even though like we recycled 231 00:13:51,760 --> 00:13:56,200 Speaker 1: like five to six of plastic, so it's not the 232 00:13:56,240 --> 00:13:59,160 Speaker 1: solution to the thing. Anyway. My point is, I'm like, 233 00:13:59,600 --> 00:14:03,040 Speaker 1: we got to get out of like this myopia of 234 00:14:03,559 --> 00:14:07,320 Speaker 1: recycling as the as the barometer how often you hear 235 00:14:07,440 --> 00:14:11,000 Speaker 1: myopia on this show. I mean brought it not enough. 236 00:14:12,200 --> 00:14:15,800 Speaker 1: But we have some doctors so that yeah, we're doing 237 00:14:15,840 --> 00:14:19,800 Speaker 1: some g R E words today, SAT words words, they're 238 00:14:19,840 --> 00:14:22,400 Speaker 1: in the house. The level has definitely been raised. I 239 00:14:22,440 --> 00:14:25,080 Speaker 1: think the thing on recycling that I think is is 240 00:14:25,120 --> 00:14:27,480 Speaker 1: so thank you for bringing that up. Because what was 241 00:14:27,520 --> 00:14:29,560 Speaker 1: so funny about like the recycling trend of like the 242 00:14:29,640 --> 00:14:31,720 Speaker 1: nineties and stuff like that was it was a three 243 00:14:31,800 --> 00:14:37,600 Speaker 1: word phrase reduce, reuse, recycle. There was a whole phrase 244 00:14:37,680 --> 00:14:39,880 Speaker 1: to it. That really just got shortened to, oh, just 245 00:14:39,920 --> 00:14:41,920 Speaker 1: throw your bottles in the blue bin and then you're 246 00:14:41,920 --> 00:14:44,640 Speaker 1: all good. It's safe. Like what happened to the reduce 247 00:14:44,720 --> 00:14:49,280 Speaker 1: your usage first and foremost reuse. Take those plastic bags 248 00:14:49,280 --> 00:14:52,600 Speaker 1: and those bottles, Maybe reuse that again. Maybe you use 249 00:14:52,640 --> 00:14:54,600 Speaker 1: that thing another time before you just decided to toss 250 00:14:54,600 --> 00:14:57,000 Speaker 1: it out and then recycle as the final stage of 251 00:14:57,000 --> 00:14:59,320 Speaker 1: the development here, the final stage of the process here 252 00:15:00,000 --> 00:15:02,760 Speaker 1: it is. It is just a shortening to like, oh, 253 00:15:02,840 --> 00:15:04,640 Speaker 1: let's get to the part where you're still just throwing 254 00:15:04,640 --> 00:15:08,800 Speaker 1: it out. So I feel, you know, stay fully on 255 00:15:08,880 --> 00:15:14,800 Speaker 1: the like wild one use consumption brand wagon, Yeah find 256 00:15:14,840 --> 00:15:18,640 Speaker 1: the blue ben who knows? Yeah, forget that. But I 257 00:15:18,640 --> 00:15:22,360 Speaker 1: will say one thing recycling aluminium before you go get cynical. 258 00:15:22,480 --> 00:15:26,160 Speaker 1: That is underrated. Aluminium is like the most recyclable material. 259 00:15:26,200 --> 00:15:29,520 Speaker 1: If you throw you can go forever coke can in 260 00:15:29,560 --> 00:15:31,320 Speaker 1: the garbage in front of me, I will stick my 261 00:15:31,360 --> 00:15:33,760 Speaker 1: hand in the garbage and save it because the stakes 262 00:15:33,800 --> 00:15:35,760 Speaker 1: are too high. I need to save the cand So 263 00:15:35,960 --> 00:15:38,960 Speaker 1: you need to recycle aluminum cans very important. Do it. 264 00:15:39,160 --> 00:15:42,080 Speaker 1: And if you're going to get a drink and a container, 265 00:15:42,200 --> 00:15:45,200 Speaker 1: get it an aluminum because it's super valuable and it 266 00:15:45,280 --> 00:15:48,800 Speaker 1: can recycle indefinitely, so like you don't have to worry 267 00:15:48,800 --> 00:15:52,440 Speaker 1: about it. Sparkle your water and your aluminum cans. This 268 00:15:52,520 --> 00:15:54,920 Speaker 1: makes me feel so much better about my Yerba mate 269 00:15:55,000 --> 00:15:58,840 Speaker 1: consumption because those are aluminum cans and they're all about sustainability. 270 00:15:58,960 --> 00:16:07,800 Speaker 1: So like the product and drink them. What's the aluminum water? 271 00:16:08,160 --> 00:16:16,680 Speaker 1: The aluminium kid liquid death, liquid death? Also big French 272 00:16:16,760 --> 00:16:20,600 Speaker 1: is not actually printed all Americans, but it sounds French. Yeah, 273 00:16:20,640 --> 00:16:24,080 Speaker 1: except for not if you call it Lacroix, which feel 274 00:16:24,560 --> 00:16:27,800 Speaker 1: the major interpretation. Okay, some of ust speak French in 275 00:16:27,880 --> 00:16:34,600 Speaker 1: this conversation. Yea, what is something that you think is underrated? 276 00:16:34,800 --> 00:16:42,680 Speaker 1: Catherine Man, I think Tempe great, it's underrated, and I'll 277 00:16:42,680 --> 00:16:46,360 Speaker 1: tell you what that one. I'll tell you why. I'll 278 00:16:46,400 --> 00:16:50,200 Speaker 1: tell you why. So I've been vegetarian for a long 279 00:16:50,280 --> 00:16:54,720 Speaker 1: time more coming up on twenty five years, and thank 280 00:16:54,760 --> 00:16:58,000 Speaker 1: you for your service. Tempe is like a better experience 281 00:16:58,080 --> 00:17:01,720 Speaker 1: than Tofu. But it's not. You see Tofu so much 282 00:17:01,760 --> 00:17:04,920 Speaker 1: more often, but Tempe is like it's better for you, 283 00:17:05,040 --> 00:17:09,159 Speaker 1: the textures better, it's easier to cook with and I 284 00:17:09,200 --> 00:17:10,920 Speaker 1: don't know, you know, we've got all these like new 285 00:17:10,960 --> 00:17:14,440 Speaker 1: fangled fake meats, which like I am happy on occasion 286 00:17:14,480 --> 00:17:17,520 Speaker 1: to have an impossible burger or whatever. But like Tempe, 287 00:17:17,560 --> 00:17:20,320 Speaker 1: it's like actually a really good citizen. And I had 288 00:17:20,359 --> 00:17:22,479 Speaker 1: something at a restaurant with it recently and I was like, 289 00:17:22,520 --> 00:17:25,280 Speaker 1: this is underrated. That should be on more menus. So 290 00:17:25,640 --> 00:17:29,119 Speaker 1: that's my plug. That's my plug for the humbles fermented 291 00:17:29,240 --> 00:17:33,200 Speaker 1: soybean cake that is tem It's like a little chewier, 292 00:17:33,359 --> 00:17:36,680 Speaker 1: is that. Yeah, it's a little like it's only familiar 293 00:17:36,720 --> 00:17:39,600 Speaker 1: with the city in Arizona. It's a little oh yeah, 294 00:17:39,680 --> 00:17:43,560 Speaker 1: different Tempe. But but maybe it's every Maybe, like maybe 295 00:17:43,600 --> 00:17:47,080 Speaker 1: we could study that and see likes the food Tempe 296 00:17:47,160 --> 00:17:49,800 Speaker 1: everywhere and Tempe, I don't know, probably not. How do 297 00:17:49,880 --> 00:17:56,440 Speaker 1: they do it? Traditional Indonesian food made from fermented soybeans 298 00:17:57,359 --> 00:17:59,560 Speaker 1: I'm here for. I think you get those like probiotic 299 00:18:00,080 --> 00:18:04,760 Speaker 1: good things anyway. Yeah, but how about Julia, what is 300 00:18:04,800 --> 00:18:07,720 Speaker 1: something you think is underrated? I think I'm continuing along 301 00:18:07,760 --> 00:18:12,359 Speaker 1: with this crunchy granola climate trend here, which is for 302 00:18:12,400 --> 00:18:15,440 Speaker 1: those who know me or listen to anything I've ever created, 303 00:18:15,560 --> 00:18:17,919 Speaker 1: they will not be surprised by this answer. Probably Catherine 304 00:18:17,960 --> 00:18:21,359 Speaker 1: could guess it. The underrated thing is a heat pump. 305 00:18:21,920 --> 00:18:24,639 Speaker 1: What is a heat pump, you ask? It is an 306 00:18:24,640 --> 00:18:27,560 Speaker 1: efficient electric machine that can both heat and cool your 307 00:18:27,600 --> 00:18:31,520 Speaker 1: home one stop shopping. And it doesn't require any fossil fuels. 308 00:18:31,560 --> 00:18:34,119 Speaker 1: It does not require gas. And so you know that 309 00:18:34,160 --> 00:18:37,120 Speaker 1: whole thing about poisoning yourself. You don't have to poison yourself. 310 00:18:37,520 --> 00:18:40,159 Speaker 1: You can have a heat pump and uh, you know, 311 00:18:40,200 --> 00:18:42,520 Speaker 1: both heat and cool your home. These are amazing machines. 312 00:18:42,560 --> 00:18:45,879 Speaker 1: They should be as well known as electric vehicles, but 313 00:18:45,960 --> 00:18:50,320 Speaker 1: they're not. Heat pumps are definitely underrated. Cool what so 314 00:18:50,480 --> 00:18:52,600 Speaker 1: I just have, like have my kids out there just 315 00:18:52,640 --> 00:18:55,879 Speaker 1: pumping away at it. What am I? Oh my god? 316 00:18:55,880 --> 00:18:58,560 Speaker 1: I guess what? It uses electricity. There's this thing I 317 00:18:58,560 --> 00:19:02,720 Speaker 1: don't know. It's called electricity. It like does stuff you know, 318 00:19:02,800 --> 00:19:06,000 Speaker 1: charges your phone, uh, you know, allows you to listen 319 00:19:06,040 --> 00:19:08,440 Speaker 1: to this podcast, but also can heat and cool your home. 320 00:19:08,520 --> 00:19:11,119 Speaker 1: I don't know if that I did not know that? 321 00:19:11,640 --> 00:19:14,560 Speaker 1: All right, the heat pump, and it's it's not like 322 00:19:15,040 --> 00:19:19,520 Speaker 1: I'll just I'll say they sound like magic. So in 323 00:19:20,040 --> 00:19:23,080 Speaker 1: the summer, they take the heat that's in your home 324 00:19:23,240 --> 00:19:26,080 Speaker 1: and they stick it outside. They're like it's too hot 325 00:19:26,160 --> 00:19:27,560 Speaker 1: in here. I'm getting rid of too hot in here. 326 00:19:27,800 --> 00:19:30,639 Speaker 1: Get it out. And in the winter they managed to 327 00:19:30,720 --> 00:19:33,880 Speaker 1: grab the heat that is outside and send it into 328 00:19:33,960 --> 00:19:37,560 Speaker 1: your home. There's magical little heat outside that you didn't 329 00:19:37,600 --> 00:19:39,879 Speaker 1: know about. And the fairies. There are fairies inside the 330 00:19:39,880 --> 00:19:41,880 Speaker 1: heat pump. See, you've killed the fairies when you buy 331 00:19:41,880 --> 00:19:43,840 Speaker 1: the guests do and then you you know, they come 332 00:19:43,840 --> 00:19:48,760 Speaker 1: back to life if the fairies bring They find the 333 00:19:48,800 --> 00:19:52,000 Speaker 1: heat outside and the fairies bring that into the house. 334 00:19:52,040 --> 00:19:54,600 Speaker 1: That's how heat pump works. That's science right there. We're 335 00:19:54,640 --> 00:19:59,160 Speaker 1: talking on the Halloween episode. How Like in Google's top 336 00:19:59,240 --> 00:20:04,040 Speaker 1: ranking of costumes, like all of the top costumes are 337 00:20:04,280 --> 00:20:08,480 Speaker 1: things that have major motion pictures that have been made 338 00:20:08,520 --> 00:20:11,720 Speaker 1: about them or are part of a major motion pictures, 339 00:20:11,760 --> 00:20:14,960 Speaker 1: But one of the top three year after year is fairies. 340 00:20:15,440 --> 00:20:18,720 Speaker 1: And like I feel like they haven't really gotten there do. 341 00:20:19,320 --> 00:20:21,639 Speaker 1: Like a lot of the ones that are you know 342 00:20:21,640 --> 00:20:27,159 Speaker 1: that little girl costumes haven't gotten their do. But a 343 00:20:27,200 --> 00:20:30,359 Speaker 1: big fairy franchise in the field. Because I don't know 344 00:20:30,400 --> 00:20:31,959 Speaker 1: if you knew this. One of the groups I work with, 345 00:20:31,960 --> 00:20:34,240 Speaker 1: Rewaring America, which is all about the heat pump. We 346 00:20:34,320 --> 00:20:37,199 Speaker 1: actually made heat pump Halloween costumes this year. So you 347 00:20:37,480 --> 00:20:40,240 Speaker 1: there were many people, I mean not like enough to 348 00:20:40,359 --> 00:20:44,879 Speaker 1: get there are probably like nine many many people people 349 00:20:45,000 --> 00:20:49,119 Speaker 1: across America became heat pumps for Halloween. I don't know 350 00:20:49,119 --> 00:20:50,480 Speaker 1: if you knew that. It was a whole trend. I 351 00:20:50,520 --> 00:20:52,680 Speaker 1: don't know why you missed it. It was huge. Actually 352 00:20:52,800 --> 00:20:56,119 Speaker 1: I could send you photos. Oh yeah, look, this is 353 00:20:56,200 --> 00:20:59,240 Speaker 1: this is when climate Twitter gets like really all a 354 00:20:59,240 --> 00:21:02,720 Speaker 1: fluttering when people dress up as heat pumps. I mean, 355 00:21:02,840 --> 00:21:04,760 Speaker 1: it's just getting real, you know. It's just like the 356 00:21:04,800 --> 00:21:08,200 Speaker 1: excitement through the roof. Yeah. Yeah, that explains all the 357 00:21:08,280 --> 00:21:10,080 Speaker 1: kids and giants squares that were coming up to my 358 00:21:10,160 --> 00:21:13,359 Speaker 1: door from you, and I just couldn't understand they were 359 00:21:13,400 --> 00:21:16,400 Speaker 1: talking through this giant square. It sounds like you want 360 00:21:16,400 --> 00:21:21,080 Speaker 1: a heat bar. Heat. Yes, that was the trend. I 361 00:21:21,119 --> 00:21:22,680 Speaker 1: don't know why you missed it. It It was really big 362 00:21:22,720 --> 00:21:26,080 Speaker 1: on TikTok all the kids. It totally hot right now 363 00:21:26,119 --> 00:21:32,040 Speaker 1: and cool as well. Y. I feel leah that the 364 00:21:32,080 --> 00:21:34,800 Speaker 1: Heat Pump movie should never be made, but it does 365 00:21:34,880 --> 00:21:38,000 Speaker 1: need a trailer. Yes, exactly, we need a Heat Pump 366 00:21:38,080 --> 00:21:43,359 Speaker 1: movie trailer exactly with that dramatic music. Yeah, alright, let's 367 00:21:43,359 --> 00:21:46,480 Speaker 1: take a quick break and we'll come back and talk 368 00:21:46,520 --> 00:22:02,000 Speaker 1: about climate and we're back and yeah, so you guys 369 00:22:02,000 --> 00:22:05,320 Speaker 1: had a great episode of your podcast where you talked 370 00:22:05,359 --> 00:22:11,400 Speaker 1: about like the trauma of climate change, and you also 371 00:22:11,800 --> 00:22:15,119 Speaker 1: you also mentioned something that we talk about about a 372 00:22:15,160 --> 00:22:19,000 Speaker 1: lot on this show, which is just the way that 373 00:22:19,040 --> 00:22:22,560 Speaker 1: the mainstream media. Like there there's an overall sense that 374 00:22:23,280 --> 00:22:26,639 Speaker 1: you're being gas lit by the world of like serious 375 00:22:26,720 --> 00:22:32,600 Speaker 1: people making decisions who say things about climate change being 376 00:22:32,600 --> 00:22:35,040 Speaker 1: a priority and like say the right things, but then 377 00:22:35,119 --> 00:22:38,040 Speaker 1: they don't do any of the things that suggests they 378 00:22:38,080 --> 00:22:42,000 Speaker 1: actually believe that climate is a priority or that like 379 00:22:42,080 --> 00:22:48,120 Speaker 1: this you know, existential catastrophic threat that is facing us 380 00:22:48,280 --> 00:22:52,200 Speaker 1: is real, And I don't know, just like as it's 381 00:22:52,400 --> 00:22:56,959 Speaker 1: kind of come more and more into focus, it's like, 382 00:22:57,040 --> 00:23:00,240 Speaker 1: I I'm thinking back on these New York Times wories 383 00:23:00,280 --> 00:23:03,680 Speaker 1: I've seen where they're like, you know, the young people 384 00:23:03,720 --> 00:23:08,000 Speaker 1: are having a mental health crisis and nobody knows why. 385 00:23:08,119 --> 00:23:12,040 Speaker 1: I think it's social media and like don't mention climate 386 00:23:12,119 --> 00:23:15,199 Speaker 1: change once. So yeah, just be interested in kind of 387 00:23:15,240 --> 00:23:19,480 Speaker 1: hearing what your perspective is on on that and specifically 388 00:23:19,520 --> 00:23:21,879 Speaker 1: as it relates to not just like climate activists but 389 00:23:21,960 --> 00:23:24,919 Speaker 1: just like people who see this happening in the headlines 390 00:23:25,280 --> 00:23:31,000 Speaker 1: and you know, are just dealing with the dissonance of like, 391 00:23:31,040 --> 00:23:36,080 Speaker 1: oh so this is going to really is already harming 392 00:23:36,160 --> 00:23:38,280 Speaker 1: and killing people and is going to make the world 393 00:23:38,320 --> 00:23:41,959 Speaker 1: way worse. And then we just talk about the stock 394 00:23:42,000 --> 00:23:46,159 Speaker 1: market like it's, you know, the most important thing instead 395 00:23:46,160 --> 00:23:50,800 Speaker 1: of a report about like how well people are making 396 00:23:50,800 --> 00:23:54,240 Speaker 1: money off of causing the problem that we're supposed to 397 00:23:54,280 --> 00:23:57,720 Speaker 1: be worried about. But yeah, like what just uh that's 398 00:23:57,720 --> 00:24:00,920 Speaker 1: a big word salad, but what what what are your 399 00:24:00,960 --> 00:24:05,120 Speaker 1: thoughts on just like this, the mental toll that this takes. 400 00:24:05,760 --> 00:24:08,040 Speaker 1: I remember it was a couple of months ago maybe 401 00:24:08,040 --> 00:24:09,919 Speaker 1: that the New York Times put out a little like 402 00:24:10,119 --> 00:24:14,480 Speaker 1: many documentary kind of video about young people and mental 403 00:24:14,480 --> 00:24:16,639 Speaker 1: health crisis and suicide. And I was like, when are 404 00:24:16,680 --> 00:24:18,320 Speaker 1: they going to say surely they're going to come to 405 00:24:18,359 --> 00:24:20,400 Speaker 1: it next. Are they going to say something? No, even 406 00:24:20,440 --> 00:24:24,320 Speaker 1: one of the interviewees says something to the tune of like, 407 00:24:24,520 --> 00:24:26,440 Speaker 1: you know, there's not going to be a planet to 408 00:24:26,480 --> 00:24:29,359 Speaker 1: live on, and like they never tease that out as 409 00:24:29,680 --> 00:24:32,320 Speaker 1: a major driver. Yeah, Like and I was just kind 410 00:24:32,320 --> 00:24:37,760 Speaker 1: of like, what, like what, especially because there has been 411 00:24:37,840 --> 00:24:41,240 Speaker 1: some really important research that's come out in the last 412 00:24:41,280 --> 00:24:46,119 Speaker 1: couple of years actually documenting this trend among young people. 413 00:24:46,200 --> 00:24:48,320 Speaker 1: So one of the folks that we had on that episode, 414 00:24:48,400 --> 00:24:51,560 Speaker 1: Dr Britt Ray at Stanford, She was one of the 415 00:24:51,600 --> 00:24:54,680 Speaker 1: authors on a study that came out in the Lancet 416 00:24:54,800 --> 00:24:59,560 Speaker 1: last year. They surveyed ten thousand young people across ten countries. 417 00:25:00,280 --> 00:25:03,719 Speaker 1: And the thing that came through in that study so 418 00:25:03,800 --> 00:25:08,440 Speaker 1: profoundly is the way that the burden of this crisis 419 00:25:08,640 --> 00:25:11,919 Speaker 1: is already impacting the day to day lives of most 420 00:25:12,000 --> 00:25:15,080 Speaker 1: young people, and particularly young people in the global selth 421 00:25:15,920 --> 00:25:20,480 Speaker 1: But not just that, it's the double whammy of feeling betrayed, 422 00:25:21,200 --> 00:25:24,160 Speaker 1: right that exactly what you're saying, That sense of being 423 00:25:24,280 --> 00:25:28,960 Speaker 1: gas lit and totally let down by the people that 424 00:25:29,160 --> 00:25:33,360 Speaker 1: are like wearing the moniker of leadership and absolutely not 425 00:25:33,440 --> 00:25:36,080 Speaker 1: doing their job when it comes to making sure, I 426 00:25:36,080 --> 00:25:39,080 Speaker 1: don't know, we get to keep living on this extraordinary 427 00:25:39,080 --> 00:25:42,880 Speaker 1: planet that grows food and like flows water and does 428 00:25:42,960 --> 00:25:45,879 Speaker 1: all of these amazing things that make it incredible to 429 00:25:45,920 --> 00:25:50,960 Speaker 1: live here. And yeah, cop who had the most delegates 430 00:25:51,080 --> 00:25:54,840 Speaker 1: at that at that little shindig, the global Conference of 431 00:25:54,880 --> 00:25:59,240 Speaker 1: the Parties, the annual sort of rendezvous to talk about 432 00:25:59,320 --> 00:26:03,000 Speaker 1: our collective future the fucking fossil fuel industry at the 433 00:26:03,040 --> 00:26:07,440 Speaker 1: most delegates except the United Arab Emirates, which is basically 434 00:26:07,480 --> 00:26:10,000 Speaker 1: also part of the fossil fuel industry. And it's like 435 00:26:10,119 --> 00:26:13,720 Speaker 1: this whole thing is insane and the fact that young 436 00:26:13,800 --> 00:26:16,760 Speaker 1: people are feeling that and seeing it, and then they 437 00:26:16,760 --> 00:26:19,439 Speaker 1: don't have anywhere to take that, right, like there are 438 00:26:19,480 --> 00:26:25,440 Speaker 1: no containers to be to be heard and seen and 439 00:26:25,880 --> 00:26:28,920 Speaker 1: you know, unless they find themselves in like a great 440 00:26:28,960 --> 00:26:31,320 Speaker 1: chapter of the Sunrise Movement or something, and even then, 441 00:26:31,440 --> 00:26:38,439 Speaker 1: like holding the existential dread that like any logical being 442 00:26:38,680 --> 00:26:43,040 Speaker 1: is feeling in this moment, you know, it's it's bananas. 443 00:26:43,119 --> 00:26:45,679 Speaker 1: And not to mention parents, you know, who are also 444 00:26:46,160 --> 00:26:49,240 Speaker 1: grappling with like my child is learning about this in 445 00:26:49,320 --> 00:26:52,320 Speaker 1: school and how do I how do I even have 446 00:26:52,359 --> 00:26:55,800 Speaker 1: a conversation with them? Yeah, your options are basically to 447 00:26:56,760 --> 00:27:03,439 Speaker 1: discredit science or acknowledge that the world is broken, you know, like, well, 448 00:27:03,480 --> 00:27:08,680 Speaker 1: at least we recycle, right, Yeah, But it's and even 449 00:27:08,720 --> 00:27:12,439 Speaker 1: that is you know, inherently like at its core dishonest 450 00:27:12,480 --> 00:27:14,520 Speaker 1: to be like what we're good because of your cycle, 451 00:27:14,720 --> 00:27:17,800 Speaker 1: Like the I don't really. Yeah, yeah, but you know, 452 00:27:18,040 --> 00:27:19,960 Speaker 1: one thing about our show is that a matter of 453 00:27:19,960 --> 00:27:22,879 Speaker 1: degrees is that we don't we don't. We don't trade 454 00:27:22,880 --> 00:27:25,600 Speaker 1: in hopelessness. We're not down for that. So you know, 455 00:27:26,960 --> 00:27:29,760 Speaker 1: we actually also did this mini series about what Can 456 00:27:29,840 --> 00:27:32,159 Speaker 1: I Do? And it's a three part series this season 457 00:27:32,240 --> 00:27:34,240 Speaker 1: that talks about what can I do about climate change? 458 00:27:34,240 --> 00:27:37,479 Speaker 1: And unsurprisingly it talks about getting a heat pump, you know, 459 00:27:37,560 --> 00:27:39,600 Speaker 1: moving your money so that it's not investing in the 460 00:27:39,600 --> 00:27:42,960 Speaker 1: fossil fuel industry, thinking about how your job can contribute 461 00:27:42,960 --> 00:27:44,320 Speaker 1: to it. I mean, like right now, you guys are 462 00:27:44,359 --> 00:27:46,280 Speaker 1: climate activists. I don't know if you knew that, Like 463 00:27:46,320 --> 00:27:49,240 Speaker 1: your jobs are on the team. Welcome you had us 464 00:27:49,240 --> 00:27:51,360 Speaker 1: on your show, and now we're talking about climate change. 465 00:27:51,400 --> 00:27:54,200 Speaker 1: Bata boom, bat a bang. That's it right there, you know. 466 00:27:54,400 --> 00:27:57,120 Speaker 1: And also political activism, right, how do we make sure 467 00:27:57,160 --> 00:27:59,879 Speaker 1: we elect climate champions? And we have folks on for 468 00:28:00,200 --> 00:28:04,320 Speaker 1: this nonprofit called Climate Cabinet that helps elect climate champions 469 00:28:04,440 --> 00:28:06,520 Speaker 1: like all up and down the ballot. So you know, 470 00:28:06,560 --> 00:28:10,800 Speaker 1: it's not about hopelessness. It's actually about you know, recognizing 471 00:28:10,840 --> 00:28:12,560 Speaker 1: that we are in a bad place, but that there 472 00:28:12,560 --> 00:28:15,000 Speaker 1: are things that we as people can do about it. 473 00:28:15,200 --> 00:28:17,720 Speaker 1: And the biggest things we can do is actually joined 474 00:28:17,720 --> 00:28:20,440 Speaker 1: together with other people to take political action to help 475 00:28:20,560 --> 00:28:23,080 Speaker 1: change laws to make a difference in our communities. But 476 00:28:23,480 --> 00:28:25,760 Speaker 1: even short of that, you know, getting a heat pump, 477 00:28:25,800 --> 00:28:28,920 Speaker 1: getting an induction stove, getting an electric vehicle, getting an 478 00:28:28,920 --> 00:28:34,760 Speaker 1: e bike right there, allowing vote and love that, that's 479 00:28:34,800 --> 00:28:37,199 Speaker 1: a great one. You know, there's lots of things we 480 00:28:37,240 --> 00:28:40,320 Speaker 1: can do. So it's not about hopelessness. But it's also 481 00:28:40,360 --> 00:28:43,720 Speaker 1: not about being unrealistic about the situation that we're in 482 00:28:43,840 --> 00:28:46,280 Speaker 1: and you know, being real with people about how bad 483 00:28:46,360 --> 00:28:51,959 Speaker 1: this is. There's no Pollyanna Pollyanna bullshit happening like we were, like, 484 00:28:52,360 --> 00:28:54,440 Speaker 1: we've got to look at the hard reality of where 485 00:28:54,520 --> 00:28:57,640 Speaker 1: we are and what's headed our way. Even if we 486 00:28:57,720 --> 00:29:01,440 Speaker 1: even if we do every thing that we can as 487 00:29:01,480 --> 00:29:04,120 Speaker 1: fast as we can, we're still going to have some 488 00:29:04,200 --> 00:29:08,680 Speaker 1: really intense challenges coming. And to realize we have this 489 00:29:08,840 --> 00:29:14,080 Speaker 1: absolutely stocked toolbox of solutions that are not just like 490 00:29:14,680 --> 00:29:19,040 Speaker 1: someday maybe if the effect of altruists funded, Like no, 491 00:29:19,280 --> 00:29:22,760 Speaker 1: it's like stuff we have now and it's working and 492 00:29:22,840 --> 00:29:25,400 Speaker 1: it makes us healthier and it saves us money. And 493 00:29:25,480 --> 00:29:28,680 Speaker 1: also even on the climate and mental health stuff. There 494 00:29:28,720 --> 00:29:32,320 Speaker 1: are actually solutions, like we don't just have to curl 495 00:29:32,400 --> 00:29:36,400 Speaker 1: up in the fetal position alone and despair. Like that 496 00:29:36,440 --> 00:29:39,240 Speaker 1: episode is about how to cope with all the climate 497 00:29:39,280 --> 00:29:41,440 Speaker 1: fields because we're going to keep feeling them, and a 498 00:29:41,440 --> 00:29:44,840 Speaker 1: lot of that is also about coming together in community 499 00:29:45,000 --> 00:29:49,040 Speaker 1: for conversation and feeling like we're not alone. Yeah, there's 500 00:29:49,040 --> 00:29:50,960 Speaker 1: a really cool thing on task shifting that I want 501 00:29:51,000 --> 00:29:53,520 Speaker 1: to talk about, But just just like going back to 502 00:29:54,000 --> 00:29:59,080 Speaker 1: the sort of mainstream media sort of blind spot, because 503 00:29:59,120 --> 00:30:02,000 Speaker 1: I just I don't think that that is something that 504 00:30:02,920 --> 00:30:06,280 Speaker 1: most people think that when they turn on NPR or 505 00:30:06,520 --> 00:30:09,400 Speaker 1: like read the New York Times, that they're getting a 506 00:30:09,680 --> 00:30:15,360 Speaker 1: version of things that are like partaking in this and 507 00:30:15,360 --> 00:30:19,400 Speaker 1: and I do feel like that like that that is 508 00:30:19,440 --> 00:30:21,880 Speaker 1: a big part of the problem is you know, like 509 00:30:21,880 --> 00:30:24,440 Speaker 1: like you said, you have this thing, and that it 510 00:30:24,480 --> 00:30:27,480 Speaker 1: feels like there's not an intuitive place to go with it, 511 00:30:27,760 --> 00:30:32,440 Speaker 1: and it feels like you're reading these contradictory things in 512 00:30:33,120 --> 00:30:36,240 Speaker 1: you know what what is supposed to be the mainstream media, 513 00:30:36,480 --> 00:30:39,880 Speaker 1: and it just I don't know, like just an honesty 514 00:30:39,960 --> 00:30:42,760 Speaker 1: and owning it and like a naming it of like 515 00:30:43,600 --> 00:30:48,080 Speaker 1: that there is this enormous trauma that we should all 516 00:30:48,120 --> 00:30:52,040 Speaker 1: be acknowledging and working through together while while we're trying 517 00:30:52,040 --> 00:30:55,400 Speaker 1: to do things about it individually. But I don't really. 518 00:30:55,880 --> 00:30:58,880 Speaker 1: I mean that that's a big part of finding a 519 00:30:59,280 --> 00:31:03,560 Speaker 1: solution that makes it so that the fossil fuel companies 520 00:31:03,680 --> 00:31:07,840 Speaker 1: don't get to continue to completely define you know that 521 00:31:08,040 --> 00:31:11,840 Speaker 1: they're fighting things on that level, like by you know, 522 00:31:11,920 --> 00:31:14,120 Speaker 1: giving the New York Times the shipload of money and 523 00:31:14,160 --> 00:31:17,000 Speaker 1: stuff too, one of the biggest advertisers at the New 524 00:31:17,040 --> 00:31:20,160 Speaker 1: York Times. I mean, here's the reality. Fossil fuel companies 525 00:31:20,200 --> 00:31:24,520 Speaker 1: knew about climate change decades ago before they had scientists, yeah, 526 00:31:24,560 --> 00:31:27,520 Speaker 1: way before everyday people they did. They had scientists like 527 00:31:27,520 --> 00:31:30,320 Speaker 1: an Exxon for example, x on Mobile. They had a 528 00:31:30,320 --> 00:31:32,720 Speaker 1: different name at the time, but they had scientists who 529 00:31:32,720 --> 00:31:36,680 Speaker 1: were doing research and they were, you know, realizing that 530 00:31:37,200 --> 00:31:40,560 Speaker 1: when you burn fossil fuels and you put carbon pollution 531 00:31:40,640 --> 00:31:44,200 Speaker 1: and other greenhouse gases into the atmosphere, you warm the planet. 532 00:31:44,520 --> 00:31:46,960 Speaker 1: When you warm the planet, a lot of bad things happen, 533 00:31:47,160 --> 00:31:51,400 Speaker 1: like drought and you know, more intense hurricanes and really 534 00:31:51,440 --> 00:31:55,280 Speaker 1: extreme rainfall and heat waves that kill people, and you know, 535 00:31:55,400 --> 00:31:58,400 Speaker 1: the crazy flooding, for example, that's happening in Pakistan right now. 536 00:31:58,480 --> 00:32:01,240 Speaker 1: The insane hurricane Ian probably going to be the most 537 00:32:01,280 --> 00:32:04,680 Speaker 1: expensive hurricane in Florida history. You know, all these things 538 00:32:04,680 --> 00:32:07,800 Speaker 1: that are happening their linked to climate change. And fossil 539 00:32:07,840 --> 00:32:11,160 Speaker 1: fuel companies knew about that. And what did they do. 540 00:32:11,360 --> 00:32:14,480 Speaker 1: They lied? They intentionally lied to the American people. It's 541 00:32:14,560 --> 00:32:17,320 Speaker 1: very similar to cigarette companies. You know, cigarette companies had 542 00:32:17,360 --> 00:32:20,600 Speaker 1: their own scientists. They knew that cigarettes caused cancer, but 543 00:32:20,680 --> 00:32:23,640 Speaker 1: they lied. And the interesting thing about the cigarette companies 544 00:32:23,720 --> 00:32:26,040 Speaker 1: is that they were eventually held accountable by the US 545 00:32:26,160 --> 00:32:28,560 Speaker 1: justice system, right they had to pay big fines for 546 00:32:28,600 --> 00:32:30,640 Speaker 1: what they did. And that is what we need to 547 00:32:30,680 --> 00:32:33,320 Speaker 1: see for fossil fuel companies too. We need to see 548 00:32:33,360 --> 00:32:36,160 Speaker 1: these companies be held accountable for the decisions that they 549 00:32:36,200 --> 00:32:39,000 Speaker 1: made to lie to the American people and you know, 550 00:32:39,200 --> 00:32:41,800 Speaker 1: make it so that you didn't have other choices other 551 00:32:41,840 --> 00:32:44,320 Speaker 1: than fossil fuels for decades. The good thing is we're 552 00:32:44,320 --> 00:32:46,600 Speaker 1: in a moment now where there are other choices. You 553 00:32:46,640 --> 00:32:48,880 Speaker 1: can get an electric vehicle, you don't have to use 554 00:32:48,880 --> 00:32:52,080 Speaker 1: fossil fuels in your homes anymore. But you know, fossil 555 00:32:52,080 --> 00:32:54,520 Speaker 1: fuel companies really delayed that and they lied to the 556 00:32:54,520 --> 00:32:56,560 Speaker 1: American people for decades, So they really need to be 557 00:32:56,600 --> 00:33:02,360 Speaker 1: held accountable. Yeah, yeah, for sure. And probably I don't know, 558 00:33:02,520 --> 00:33:05,760 Speaker 1: I mean maybe they should have to sit in rooms 559 00:33:06,160 --> 00:33:11,960 Speaker 1: with despairing young people and like like absorb that trauma 560 00:33:12,040 --> 00:33:16,760 Speaker 1: that they have they've manufactured, right, both like physically and 561 00:33:16,920 --> 00:33:19,360 Speaker 1: in in this sense of gas lighting that that you're 562 00:33:19,400 --> 00:33:23,720 Speaker 1: talking about, Jack, and I think the like that there 563 00:33:23,800 --> 00:33:26,440 Speaker 1: is this huge lie at the core of like just 564 00:33:26,640 --> 00:33:31,840 Speaker 1: existence in the modern world like that that also goes 565 00:33:31,920 --> 00:33:34,960 Speaker 1: to everything that's happening, like this like rise of fascism, 566 00:33:35,120 --> 00:33:37,960 Speaker 1: like nihilism among the rich, depression among the young, as 567 00:33:37,960 --> 00:33:40,520 Speaker 1: we talked about, like a rise of deaths of despair, 568 00:33:41,080 --> 00:33:45,720 Speaker 1: all these things that you know are caused by people 569 00:33:45,840 --> 00:33:50,680 Speaker 1: just losing hope and faith and like belief in in 570 00:33:51,320 --> 00:33:54,120 Speaker 1: that that they exist in like a just world that's 571 00:33:54,160 --> 00:33:58,320 Speaker 1: like worth fighting for. And it's just like getting that 572 00:33:58,440 --> 00:34:03,040 Speaker 1: back into the conversation feels like an important part part 573 00:34:03,040 --> 00:34:05,800 Speaker 1: of the of the job. And it's that like it's 574 00:34:05,840 --> 00:34:08,680 Speaker 1: that flip side, I think to the headlines you know 575 00:34:08,719 --> 00:34:12,239 Speaker 1: that you were talking about, right of like we need 576 00:34:12,320 --> 00:34:15,239 Speaker 1: the headlines that make it clear that we're in a 577 00:34:15,280 --> 00:34:19,320 Speaker 1: fucking mess um and we're running out of time, and 578 00:34:19,640 --> 00:34:24,160 Speaker 1: we need the headlines or better yet, the feature films 579 00:34:24,400 --> 00:34:29,000 Speaker 1: and the like compelling collective stories that help us imagine 580 00:34:30,640 --> 00:34:35,400 Speaker 1: a transformed world. Right, Like, so much of the climate 581 00:34:35,440 --> 00:34:39,080 Speaker 1: conversation kind of publicly has been like, this is the 582 00:34:39,120 --> 00:34:42,040 Speaker 1: world we want to avoid, and it's going to take 583 00:34:42,080 --> 00:34:44,600 Speaker 1: a whole bunch of misery and sacrifice to get there, 584 00:34:44,640 --> 00:34:47,799 Speaker 1: instead of like, this is the incredible future that's possible, 585 00:34:48,600 --> 00:34:51,879 Speaker 1: and this is what it could mean to go on 586 00:34:51,880 --> 00:34:54,439 Speaker 1: that journey to get there. I would watch that movie. 587 00:34:54,560 --> 00:34:58,520 Speaker 1: Leah would probably watch more than the trailer. Yeah, yeah, 588 00:34:58,520 --> 00:35:00,560 Speaker 1: And it's about abundance. You know. So much of what's 589 00:35:00,560 --> 00:35:02,840 Speaker 1: been sold to us is that climate action is is 590 00:35:02,880 --> 00:35:06,399 Speaker 1: sacrifice and no offense to the whole Tempe conversation earlier. Right, 591 00:35:06,440 --> 00:35:09,719 Speaker 1: But like you know, it's not about it's not really 592 00:35:09,760 --> 00:35:12,719 Speaker 1: doing any papers there. It's not about giving up your 593 00:35:12,719 --> 00:35:16,480 Speaker 1: hamburgers or sitting in the cold dark room alone and 594 00:35:16,520 --> 00:35:19,080 Speaker 1: not having a car. Right. Guess what, guys, You can 595 00:35:19,120 --> 00:35:21,120 Speaker 1: have a heat pump that he eats your home. You 596 00:35:21,120 --> 00:35:24,040 Speaker 1: can have an electric vehicle. You can probably even eat 597 00:35:24,080 --> 00:35:26,360 Speaker 1: some meat or some fake meat that's going to exist 598 00:35:26,520 --> 00:35:29,160 Speaker 1: that you know, tastes exactly the same, but didn't require 599 00:35:29,160 --> 00:35:32,279 Speaker 1: as much carbon pollution. Right there is innovation happening right 600 00:35:32,320 --> 00:35:35,279 Speaker 1: now that allows us to live the way that we live, 601 00:35:35,400 --> 00:35:38,440 Speaker 1: and we like living without all the sacrifice and the 602 00:35:38,480 --> 00:35:41,080 Speaker 1: way that the fossil pole industry has defined this is 603 00:35:41,080 --> 00:35:43,600 Speaker 1: about sacrifice because that works for them. That would they 604 00:35:43,600 --> 00:35:46,239 Speaker 1: can say no, no, no, don't change anything. Just keep 605 00:35:46,320 --> 00:35:49,600 Speaker 1: using your dirty gas stove and your dirty you know, 606 00:35:49,840 --> 00:35:52,239 Speaker 1: oil powered car. Just do that for like another couple 607 00:35:52,239 --> 00:35:56,759 Speaker 1: of decades. Because every single day that we delay, you know, 608 00:35:56,840 --> 00:35:59,440 Speaker 1: getting the solar panels or the heat pumps or the 609 00:35:59,800 --> 00:36:02,799 Speaker 1: like vehicle. Every day we delay, it makes fossil fuel 610 00:36:02,800 --> 00:36:05,040 Speaker 1: companies money. That's how they make money. Now, they're like 611 00:36:05,080 --> 00:36:08,120 Speaker 1: delaying machines. And so they don't want us to think 612 00:36:08,160 --> 00:36:10,640 Speaker 1: that there are alternatives so that we can keep living 613 00:36:10,640 --> 00:36:14,560 Speaker 1: our lives and actually have healthier lives, pay less money 614 00:36:14,560 --> 00:36:16,920 Speaker 1: for our energy bills. You know, they don't want us 615 00:36:16,960 --> 00:36:19,640 Speaker 1: to understand the abundance that's coming for so if we 616 00:36:19,680 --> 00:36:21,480 Speaker 1: act on climate change, they want us to think it's 617 00:36:21,480 --> 00:36:23,960 Speaker 1: all doom and gloom, and you know, you're gonna have 618 00:36:24,040 --> 00:36:26,319 Speaker 1: to sit alone in the dark nature temp a you know, 619 00:36:26,400 --> 00:36:29,040 Speaker 1: that's what they want us to think. Um and and 620 00:36:29,160 --> 00:36:31,680 Speaker 1: Catherine's point out that a temp is not so bad. Actually, 621 00:36:33,040 --> 00:36:35,280 Speaker 1: I'd say give it a try, Give it a try. 622 00:36:35,600 --> 00:36:39,919 Speaker 1: It does feel like there's a lot of you guys 623 00:36:39,960 --> 00:36:43,000 Speaker 1: are doing a great job of like highlighting like very 624 00:36:43,000 --> 00:36:46,680 Speaker 1: sophisticated and smart, and like there's just a lot of energy, 625 00:36:46,800 --> 00:36:50,239 Speaker 1: especially coming from this young generation towards like building a 626 00:36:50,320 --> 00:36:56,480 Speaker 1: future that is sustainable. There's also a lot that is 627 00:36:56,560 --> 00:36:59,640 Speaker 1: happening on the other side, like you mentioned the fossil 628 00:36:59,719 --> 00:37:04,200 Speaker 1: fuel like Cop seven becoming a fossil fuel trade show, 629 00:37:04,880 --> 00:37:09,600 Speaker 1: and you know, the like effective altruism. I keep ranting 630 00:37:09,640 --> 00:37:13,200 Speaker 1: about this, but it's really like it's fooled a lot 631 00:37:13,200 --> 00:37:16,520 Speaker 1: of people, I think, and even like a very smart 632 00:37:16,600 --> 00:37:20,520 Speaker 1: person who's like, you know, youngest philosophy professor at Oxford 633 00:37:21,080 --> 00:37:25,239 Speaker 1: like full has fooled himself by like he thinks he 634 00:37:25,280 --> 00:37:28,759 Speaker 1: went from like getting bed nets for people in need 635 00:37:28,800 --> 00:37:33,399 Speaker 1: and like stopping human suffering in the here and now too, 636 00:37:34,160 --> 00:37:37,719 Speaker 1: he you know, started hanging out with all these like 637 00:37:37,840 --> 00:37:42,480 Speaker 1: venture capital bros And like billionaires and suddenly climate change 638 00:37:42,520 --> 00:37:46,359 Speaker 1: isn't as important as people say it is. And the 639 00:37:46,400 --> 00:37:48,960 Speaker 1: thing that we really need to worry about is you 640 00:37:49,000 --> 00:37:53,000 Speaker 1: know AI and you know ship where like he just 641 00:37:53,080 --> 00:37:59,320 Speaker 1: like through osmosis is like an asshole, but like it's 642 00:37:59,360 --> 00:38:02,480 Speaker 1: it is very sophisticated, and it is like, I don't know, 643 00:38:02,520 --> 00:38:06,200 Speaker 1: I think of like capitalism almost as its own AI 644 00:38:06,280 --> 00:38:10,759 Speaker 1: that has like gone through the singularity like decades ago, 645 00:38:10,880 --> 00:38:13,640 Speaker 1: and it's just like so sophisticated, and it's like fighting 646 00:38:14,360 --> 00:38:16,640 Speaker 1: like that that's what we're fighting against. And they keep 647 00:38:16,680 --> 00:38:20,560 Speaker 1: coming up with these like ideas and arguments and ways 648 00:38:20,640 --> 00:38:26,640 Speaker 1: to fund a form of civilization that is clearly unsustainable. 649 00:38:26,880 --> 00:38:30,080 Speaker 1: Like that that I feel like is the thing that 650 00:38:30,520 --> 00:38:33,319 Speaker 1: you know, they talk about hyper normalization. Adam Curtis talks 651 00:38:33,360 --> 00:38:38,279 Speaker 1: about this feeling that we're like just living next to 652 00:38:38,360 --> 00:38:43,280 Speaker 1: this massive like organism that can't be understood or slowed 653 00:38:43,280 --> 00:38:48,200 Speaker 1: down or like affected, and so it's like some you know, 654 00:38:48,719 --> 00:38:50,759 Speaker 1: it's fighting that. And I think like the thing that 655 00:38:50,800 --> 00:38:52,640 Speaker 1: gives me the most hope is that it does seem 656 00:38:52,719 --> 00:38:57,600 Speaker 1: like the younger generations are more aware and have a 657 00:38:57,680 --> 00:39:02,279 Speaker 1: more realistic the vision and like grasp of what the 658 00:39:02,400 --> 00:39:07,040 Speaker 1: actual contours of this reality. But I also feel like 659 00:39:07,520 --> 00:39:12,279 Speaker 1: the capitalist machine is going to do its best to 660 00:39:12,400 --> 00:39:17,280 Speaker 1: create like very sophisticated ways and ideas and quote unquote 661 00:39:17,320 --> 00:39:22,640 Speaker 1: philosophies to like bring them into this bullshit you know framework, 662 00:39:22,800 --> 00:39:26,360 Speaker 1: but is currently pasting on inertia. There's a really direct 663 00:39:26,400 --> 00:39:30,320 Speaker 1: threat here too. So you know, this whole Sam Bankman freed, 664 00:39:30,600 --> 00:39:33,160 Speaker 1: you know, crypto crash that's going on, very tied to 665 00:39:33,200 --> 00:39:37,399 Speaker 1: effective altruism, right because he justified his actions by saying, Look, 666 00:39:37,640 --> 00:39:39,600 Speaker 1: if I can make a lot of money, I can 667 00:39:39,640 --> 00:39:41,840 Speaker 1: give it away. I can give it away to democrats 668 00:39:41,920 --> 00:39:43,719 Speaker 1: running for office, I can give it away to poor 669 00:39:43,760 --> 00:39:46,080 Speaker 1: people or whatever. And that makes me a good person, 670 00:39:46,239 --> 00:39:49,839 Speaker 1: even though the fundamental thing I'm doing is actually really bad. 671 00:39:50,360 --> 00:39:53,480 Speaker 1: Why do I say that crypto? We did an episode 672 00:39:53,480 --> 00:39:56,000 Speaker 1: recently on the podcast, on our podcast Matter of Degrees 673 00:39:56,040 --> 00:39:58,840 Speaker 1: about cryptocurrency, and we dug into the climate impacts, and 674 00:39:58,880 --> 00:40:02,720 Speaker 1: I gotta say, like, WHOA, that was super illuminating and dark. 675 00:40:03,320 --> 00:40:05,920 Speaker 1: I don't know how much people know about crypto, but basically, 676 00:40:06,800 --> 00:40:10,319 Speaker 1: especially with bitcoin, it's a giant number guessing machine that 677 00:40:10,400 --> 00:40:15,600 Speaker 1: requires enormous amounts of energy, and you know, just that 678 00:40:15,640 --> 00:40:20,560 Speaker 1: cryptocurrency alone, the negative environmental impacts from using so much 679 00:40:20,600 --> 00:40:24,919 Speaker 1: dirty energy to just guess numbers. It's actually bigger than 680 00:40:25,440 --> 00:40:29,360 Speaker 1: the positive effect right now of all electric vehicles deployed 681 00:40:29,400 --> 00:40:31,360 Speaker 1: in the year. So every time you see an electric 682 00:40:31,440 --> 00:40:34,280 Speaker 1: vehicle on the road, just think about the invisible crypto 683 00:40:34,440 --> 00:40:37,600 Speaker 1: number guessing garbage that's going on in the background that 684 00:40:37,719 --> 00:40:42,160 Speaker 1: is negating that positive momentum that we're making. And you know, 685 00:40:42,520 --> 00:40:44,600 Speaker 1: I think a lot of people sort of stuck their 686 00:40:44,640 --> 00:40:47,439 Speaker 1: head in the sand around crypto and the fundamental fact 687 00:40:47,480 --> 00:40:50,439 Speaker 1: that it uses so much energy and is very bad 688 00:40:50,520 --> 00:40:52,799 Speaker 1: for the planet. I mean literally keeping coal plants open 689 00:40:52,840 --> 00:40:55,040 Speaker 1: to guess numbers, you know, when they start their head 690 00:40:55,080 --> 00:40:58,120 Speaker 1: in the sand because they said, well, it's effective altruism 691 00:40:58,440 --> 00:41:00,440 Speaker 1: we're doing. We're making money and then going to give 692 00:41:00,480 --> 00:41:02,759 Speaker 1: that money away, And isn't that better because as long 693 00:41:02,800 --> 00:41:05,200 Speaker 1: as we make money and give it to people than like, actually, 694 00:41:05,200 --> 00:41:08,879 Speaker 1: we're amazing people were better than those crunchy granola kids 695 00:41:08,920 --> 00:41:11,759 Speaker 1: trying to shut down coal plants because actually, we made 696 00:41:11,840 --> 00:41:14,400 Speaker 1: money and we can give that away, And it becomes 697 00:41:14,560 --> 00:41:18,719 Speaker 1: very circular argument that doesn't cause people to look at 698 00:41:18,760 --> 00:41:21,880 Speaker 1: the fundamental problem here, which is that you're using enormous 699 00:41:21,920 --> 00:41:25,080 Speaker 1: amounts of dirty energy to do something that actually isn't 700 00:41:25,120 --> 00:41:28,040 Speaker 1: that useful. Yeah, and correct me if I'm wrong. On crypto, 701 00:41:28,200 --> 00:41:31,480 Speaker 1: especially with the whole number guessing thing, you get diminishing 702 00:41:31,480 --> 00:41:34,200 Speaker 1: returns over time because the numbers get harder to guess 703 00:41:34,239 --> 00:41:37,040 Speaker 1: as the value of it fluctuates and whatnot, And so 704 00:41:37,080 --> 00:41:39,920 Speaker 1: you're spending more and more energy to guess a smaller 705 00:41:39,960 --> 00:41:43,560 Speaker 1: and smaller amount of like numbers to like mint coins 706 00:41:43,640 --> 00:41:46,959 Speaker 1: or something. So eventually the cost of the energy both 707 00:41:47,000 --> 00:41:50,160 Speaker 1: actual like you know, monetary cost, but cost the environment, 708 00:41:50,520 --> 00:41:54,520 Speaker 1: then outweighs the actual value of the coin that's being minted. Yeah. 709 00:41:54,560 --> 00:41:57,520 Speaker 1: I mean that's because it gets more competitive to rite. 710 00:41:57,600 --> 00:42:00,480 Speaker 1: Like if more people want to guess the number, they've 711 00:42:00,520 --> 00:42:02,840 Speaker 1: got to get more powerful computers to do it so 712 00:42:02,880 --> 00:42:05,440 Speaker 1: that they can generate more guesses faster, right, and it 713 00:42:05,480 --> 00:42:07,319 Speaker 1: becomes a kind of arms race where it's like you 714 00:42:07,360 --> 00:42:10,560 Speaker 1: need a really fast computer to guess faster, and the 715 00:42:10,640 --> 00:42:13,680 Speaker 1: probability that you're gonna win and get the number, it's 716 00:42:13,680 --> 00:42:15,919 Speaker 1: gonna get small. Or if there's more competition and more 717 00:42:16,000 --> 00:42:19,600 Speaker 1: machines actually guessing it. So yeah, basically the environmental impact 718 00:42:19,600 --> 00:42:22,080 Speaker 1: can get bigger as there's more and more people guessing 719 00:42:22,080 --> 00:42:24,160 Speaker 1: it on more and more powerful machines, so that they 720 00:42:24,160 --> 00:42:27,920 Speaker 1: get a chance to actually win that coin. Right, So 721 00:42:28,400 --> 00:42:31,200 Speaker 1: I mean in this in this episode that we did, 722 00:42:31,239 --> 00:42:35,600 Speaker 1: we learned that China has actually banned cryptocurrency mining, so 723 00:42:35,760 --> 00:42:38,080 Speaker 1: a lot of the miners moved to the United States 724 00:42:38,120 --> 00:42:40,400 Speaker 1: in the last few years, and that there are literally 725 00:42:40,480 --> 00:42:44,160 Speaker 1: coal plants in places like Montana that are staying open 726 00:42:44,680 --> 00:42:48,879 Speaker 1: just to provide seven electricity to people guessing numbers. Like 727 00:42:49,239 --> 00:42:51,399 Speaker 1: what that is insane? You know, like if you kept 728 00:42:51,400 --> 00:42:54,240 Speaker 1: the coal plan open because you were, you know, allowing 729 00:42:54,480 --> 00:42:57,840 Speaker 1: poor people to heat their homes or you know, something 730 00:42:57,880 --> 00:43:00,759 Speaker 1: that would like somewhat useful. Okay, maybe I mean you 731 00:43:00,760 --> 00:43:03,040 Speaker 1: should really shut down the cold plant. But like this 732 00:43:03,160 --> 00:43:06,560 Speaker 1: is literally just to guess numbers, like what this is 733 00:43:06,719 --> 00:43:10,120 Speaker 1: like it's it's bananas. Just the idea of hoarding an 734 00:43:10,120 --> 00:43:13,680 Speaker 1: illogical amount of money, like an immoral amount of money. 735 00:43:14,040 --> 00:43:16,960 Speaker 1: They even say, by the way, petrochemical careers are fine 736 00:43:17,080 --> 00:43:20,279 Speaker 1: if you're creating wealth and giving it to a charity, 737 00:43:20,320 --> 00:43:23,320 Speaker 1: but first of all, you're creating a person who works 738 00:43:23,320 --> 00:43:28,120 Speaker 1: in petrochemicals, like which like the the human mind and 739 00:43:28,160 --> 00:43:32,000 Speaker 1: a human life is like so valuable and like capable 740 00:43:32,280 --> 00:43:36,120 Speaker 1: of creating so much momentum and meaning in this world, 741 00:43:36,680 --> 00:43:40,560 Speaker 1: and you are just throwing that away to create wealth 742 00:43:40,840 --> 00:43:44,000 Speaker 1: cynically to give it to you who then you are 743 00:43:44,120 --> 00:43:48,320 Speaker 1: saying that you are better able to distribute that wealth 744 00:43:48,320 --> 00:43:50,879 Speaker 1: than anyone else in the world, that like all these 745 00:43:51,000 --> 00:43:54,360 Speaker 1: thrown away lives of working in finance and petro chemicals 746 00:43:54,600 --> 00:43:58,000 Speaker 1: are worth it so that you can have all of 747 00:43:58,040 --> 00:44:02,279 Speaker 1: the money to distribute you to all these different places 748 00:44:02,600 --> 00:44:05,960 Speaker 1: because you're so much smarter than everyone. But you don't 749 00:44:05,960 --> 00:44:09,200 Speaker 1: think climate change is a problem. But it also like 750 00:44:09,320 --> 00:44:13,120 Speaker 1: it misses such a fundamental point, which is there is 751 00:44:13,560 --> 00:44:20,360 Speaker 1: real good, well paid, profit generating work to be done 752 00:44:20,600 --> 00:44:24,480 Speaker 1: solving the climate crisis. So this idea of like whatever 753 00:44:24,600 --> 00:44:26,880 Speaker 1: whatever you do for eight or ten or twelve or 754 00:44:26,920 --> 00:44:29,280 Speaker 1: sucking sixteen hours a day if you're on Wall Street, 755 00:44:29,360 --> 00:44:33,200 Speaker 1: like there's no way to make that part of the solution, 756 00:44:33,280 --> 00:44:37,840 Speaker 1: which is just insane. Like we should be trying to 757 00:44:37,880 --> 00:44:40,560 Speaker 1: align the ways that we spend our time and our 758 00:44:40,680 --> 00:44:44,439 Speaker 1: energy and then also the ways that we align our money, right, 759 00:44:44,480 --> 00:44:48,520 Speaker 1: But it's like it's like overlooking an entire landscape. I mean, 760 00:44:48,600 --> 00:44:50,360 Speaker 1: I'm on some of you know, I mostly got them 761 00:44:50,360 --> 00:44:53,080 Speaker 1: because I'm interesting interested, not because I'm like looking for 762 00:44:53,120 --> 00:44:55,080 Speaker 1: a job in climate tech. But like I get these 763 00:44:55,120 --> 00:44:57,959 Speaker 1: emails where I'm like, holy sh it, there's so much 764 00:44:58,040 --> 00:45:02,920 Speaker 1: hiring happening in the really well paid roles, like you know, 765 00:45:03,000 --> 00:45:06,279 Speaker 1: all this stuff. So it's like what what And I mean, 766 00:45:06,480 --> 00:45:08,799 Speaker 1: I'm an I'm an Aluma Oxford. I don't want to like, 767 00:45:09,000 --> 00:45:12,040 Speaker 1: you know, shoot on my brethren, but like, when it's deserved, 768 00:45:12,040 --> 00:45:15,759 Speaker 1: it's deserved. And this is quintessential what Emily at Can, 769 00:45:16,320 --> 00:45:20,240 Speaker 1: our friend who does the climate newsletter Heated, calls first 770 00:45:20,280 --> 00:45:24,879 Speaker 1: time climate dude. It's like, oh, it's a dude who 771 00:45:24,880 --> 00:45:27,120 Speaker 1: thought about climate change for the first time and he 772 00:45:27,160 --> 00:45:29,480 Speaker 1: now thinks he's an expert, and he's probably gonna publish 773 00:45:29,600 --> 00:45:31,279 Speaker 1: like a piece of the New Yorker about how where 774 00:45:31,280 --> 00:45:36,239 Speaker 1: everything screwed or you know whatever or something like this, 775 00:45:36,680 --> 00:45:39,080 Speaker 1: and you know, be aware if you're a first time 776 00:45:39,120 --> 00:45:43,480 Speaker 1: climate dude, like do a bunch of listening first, primarily 777 00:45:43,520 --> 00:45:46,919 Speaker 1: to women, and then maybe jump jump into the game 778 00:45:47,360 --> 00:45:52,919 Speaker 1: and compared doing what effective altruism preaches, where you throw 779 00:45:52,960 --> 00:45:56,120 Speaker 1: away your life working for an evil cause for like 780 00:45:56,160 --> 00:45:59,920 Speaker 1: a chemical petrochemical company so that you can then get 781 00:46:00,080 --> 00:46:03,400 Speaker 1: your money to this one fund that is then you 782 00:46:03,440 --> 00:46:06,000 Speaker 1: know already has too much more money than it knows 783 00:46:06,040 --> 00:46:09,640 Speaker 1: what to do with with task shifting. Like task shifting 784 00:46:09,680 --> 00:46:12,640 Speaker 1: that you guys talked about in your episode on like 785 00:46:12,880 --> 00:46:16,160 Speaker 1: climate and mental health, was like that that's such a 786 00:46:16,200 --> 00:46:21,520 Speaker 1: great example of like a way to contribute to the world. 787 00:46:21,560 --> 00:46:25,239 Speaker 1: That is like exponential growth. Like the idea that you 788 00:46:26,200 --> 00:46:30,960 Speaker 1: teach other people to like help other people with mental 789 00:46:31,000 --> 00:46:34,920 Speaker 1: health so that they then can like build a movement 790 00:46:35,000 --> 00:46:37,560 Speaker 1: of like mental health and people like being able to 791 00:46:38,840 --> 00:46:42,560 Speaker 1: like cope with the immense amount of grief around climate 792 00:46:42,680 --> 00:46:46,440 Speaker 1: change and like that that is like crippling like that 793 00:46:46,440 --> 00:46:51,279 Speaker 1: that just like that that idea of yeah, yeah, yeah, 794 00:46:51,400 --> 00:46:53,399 Speaker 1: I mean if you think about I think I saw 795 00:46:53,440 --> 00:46:56,759 Speaker 1: a number recently that like roughly a billion people on 796 00:46:56,800 --> 00:47:00,120 Speaker 1: the planet are already struggling with some kind of mental healthing. 797 00:47:00,920 --> 00:47:04,279 Speaker 1: The mental health infrastructure that we have is already like 798 00:47:04,400 --> 00:47:08,880 Speaker 1: totally not meeting the existing need, and we're just like 799 00:47:09,080 --> 00:47:14,000 Speaker 1: cooking it up more. Right, as as climate impacts intensify 800 00:47:14,000 --> 00:47:17,480 Speaker 1: and awareness of this issue intensifies, so like there are 801 00:47:17,480 --> 00:47:20,919 Speaker 1: not enough therapists on the planet to possibly use that 802 00:47:21,239 --> 00:47:24,399 Speaker 1: model to to meet the need. Right. And so this 803 00:47:24,520 --> 00:47:27,920 Speaker 1: idea that actually Brett Ray talks about in that episode 804 00:47:28,040 --> 00:47:34,760 Speaker 1: about like peer support counselors and basically equipping normal people 805 00:47:35,160 --> 00:47:39,440 Speaker 1: with these skills that you know, there's real need for 806 00:47:39,520 --> 00:47:43,040 Speaker 1: mental health professionals in certain situations, but for a lot 807 00:47:43,040 --> 00:47:45,279 Speaker 1: of what we're talking about, people kind of need like 808 00:47:45,400 --> 00:47:49,239 Speaker 1: well held you know, containers, like the kind of thing 809 00:47:49,239 --> 00:47:52,640 Speaker 1: that alcoholics Anonymous right manages to do. It's like those 810 00:47:52,680 --> 00:47:55,799 Speaker 1: are that's peer to peer support, and it gets a 811 00:47:55,800 --> 00:47:58,200 Speaker 1: lot of people a lot of the way that they 812 00:47:58,200 --> 00:48:00,520 Speaker 1: need to go. And I think it's really citing to 813 00:48:00,560 --> 00:48:04,719 Speaker 1: think about how how more of us could help, right. 814 00:48:04,960 --> 00:48:08,600 Speaker 1: And Yeah, and you know, Catherine edited this book called 815 00:48:08,640 --> 00:48:11,319 Speaker 1: All We Can Save, which I'm also in and it's 816 00:48:11,320 --> 00:48:13,279 Speaker 1: a collection of women writers. And the cool thing that 817 00:48:13,360 --> 00:48:15,520 Speaker 1: she did with that book is that she created a 818 00:48:15,520 --> 00:48:17,960 Speaker 1: whole program called Circles, which is that you can like 819 00:48:18,040 --> 00:48:21,480 Speaker 1: basically read this book with a community of people around you. 820 00:48:21,960 --> 00:48:25,160 Speaker 1: And and that is doing what we're talking about here, right, 821 00:48:25,239 --> 00:48:28,680 Speaker 1: Like you don't have to go get a climate informed 822 00:48:28,719 --> 00:48:32,279 Speaker 1: therapists specifically to talk about the problem and the solutions. 823 00:48:32,280 --> 00:48:34,799 Speaker 1: You could for example, pick up a copy of All 824 00:48:34,800 --> 00:48:37,720 Speaker 1: we Can Save and ask a few friends from work 825 00:48:37,840 --> 00:48:40,399 Speaker 1: or a few friends from your community to sit down 826 00:48:40,440 --> 00:48:41,960 Speaker 1: and read the book with you over the course of 827 00:48:42,000 --> 00:48:44,360 Speaker 1: a few weeks and have conversations. You know, that's the 828 00:48:44,440 --> 00:48:47,319 Speaker 1: kind of scalable model that would allow a lot more 829 00:48:47,360 --> 00:48:50,239 Speaker 1: people to find a pathway into climate work. And that 830 00:48:50,280 --> 00:48:52,359 Speaker 1: doesn't have to be like professional work. It can also 831 00:48:52,440 --> 00:48:56,200 Speaker 1: just be in their day to day lives totally. Yeah, Well, 832 00:48:56,480 --> 00:49:01,160 Speaker 1: like building a human like a connect and based movement 833 00:49:01,200 --> 00:49:03,600 Speaker 1: where you're like connecting with other people and communicating with 834 00:49:03,640 --> 00:49:07,160 Speaker 1: other people as opposed to giving your life to a 835 00:49:07,239 --> 00:49:10,520 Speaker 1: oil company. I'm loving how much you are hating on 836 00:49:10,560 --> 00:49:14,840 Speaker 1: effective altruism. It is amazing. It's I mean it's because 837 00:49:14,880 --> 00:49:18,440 Speaker 1: like I I've talked about it before people have been like, yeah, 838 00:49:18,520 --> 00:49:21,160 Speaker 1: but they do some good and it's just like there's 839 00:49:21,239 --> 00:49:26,200 Speaker 1: something really like at the very philosophical core and like 840 00:49:26,239 --> 00:49:29,000 Speaker 1: that was what I studied in in school, and like 841 00:49:29,040 --> 00:49:32,000 Speaker 1: there's just something from the outset at the core that 842 00:49:32,040 --> 00:49:35,440 Speaker 1: I was like, this is there. There's like some eugenics 843 00:49:35,440 --> 00:49:40,080 Speaker 1: buried in there, and its worldview because they're like mechanical. 844 00:49:41,880 --> 00:49:47,400 Speaker 1: It's really weirdly robotic at its heart. Yeah, So I 845 00:49:47,440 --> 00:49:49,359 Speaker 1: don't know, I just I just think I also think 846 00:49:49,360 --> 00:49:53,560 Speaker 1: it's very dangerous because the the apparatus that we're talking 847 00:49:53,600 --> 00:49:57,439 Speaker 1: about that is like you know, the establishment currently and 848 00:49:57,640 --> 00:50:00,680 Speaker 1: that has the New York Times and like has a 849 00:50:00,719 --> 00:50:03,879 Speaker 1: lot of powerful tools at his disposal and a lot 850 00:50:03,920 --> 00:50:08,000 Speaker 1: of inertia. Like they are not going to go into 851 00:50:08,040 --> 00:50:13,040 Speaker 1: the future as like allowing themselves to be defined as 852 00:50:13,080 --> 00:50:15,520 Speaker 1: the bad guy. So they're going to come up with 853 00:50:15,960 --> 00:50:18,920 Speaker 1: something that allows them to be like, no, we're the 854 00:50:18,920 --> 00:50:22,400 Speaker 1: good guys. This is like actually really smart, and it 855 00:50:22,480 --> 00:50:24,600 Speaker 1: was cool that we totally burned down the planet because 856 00:50:24,640 --> 00:50:27,120 Speaker 1: like we made money in the process. Actually, it's funny. 857 00:50:27,440 --> 00:50:30,600 Speaker 1: There's this professor who have criticized who won the Nobel 858 00:50:30,640 --> 00:50:34,600 Speaker 1: Prize in economics for his work on climbate Leon like 859 00:50:34,680 --> 00:50:37,480 Speaker 1: swings really big when she when she takes takes on. 860 00:50:39,400 --> 00:50:42,120 Speaker 1: But anyway, he you know, his models which he won 861 00:50:42,160 --> 00:50:45,000 Speaker 1: the Nobel Prize for, which was like seriously, um, he 862 00:50:45,800 --> 00:50:49,080 Speaker 1: claims that like you know, yeah, climate change will collapse 863 00:50:49,120 --> 00:50:52,320 Speaker 1: earth systems whatever. But like the thing is, agriculture is 864 00:50:52,360 --> 00:50:55,440 Speaker 1: like four percent of global gdplea GDP, so even if 865 00:50:55,480 --> 00:50:58,600 Speaker 1: all agriculture collapses. It's like nb D because it's only 866 00:50:58,600 --> 00:51:00,200 Speaker 1: four percent and we're going to have like so much 867 00:51:00,239 --> 00:51:02,359 Speaker 1: more growth in other sectors, so like whatever. But then 868 00:51:02,360 --> 00:51:05,160 Speaker 1: you're like, dude, but there'll be no food and that 869 00:51:05,480 --> 00:51:12,360 Speaker 1: can go like I know, right, almost like we're maybe 870 00:51:12,440 --> 00:51:15,040 Speaker 1: undervaluing it with just reducing it to like a GDP 871 00:51:15,200 --> 00:51:19,960 Speaker 1: number the standard to be measuring these things in terms 872 00:51:19,960 --> 00:51:23,760 Speaker 1: of importance. And it's like if the stuff gets so disembodied, 873 00:51:23,840 --> 00:51:27,840 Speaker 1: it's like yeah, like these philosophies like in the ether whatever, 874 00:51:27,880 --> 00:51:30,600 Speaker 1: but like we live on a we live on a planet, 875 00:51:30,680 --> 00:51:34,719 Speaker 1: and the planet is real, and like it's if there's 876 00:51:34,840 --> 00:51:39,160 Speaker 1: material stuff that is possible or not possible here and 877 00:51:39,880 --> 00:51:43,600 Speaker 1: if we're not acting acting you know, within the bounds 878 00:51:43,719 --> 00:51:48,759 Speaker 1: of the physical reality of this again like very amazing Earth, 879 00:51:49,000 --> 00:51:52,479 Speaker 1: as another one of our lovely climate friends, k Marvel says, 880 00:51:52,560 --> 00:51:56,040 Speaker 1: this is the only good planet, so like we'd better 881 00:51:56,280 --> 00:51:59,440 Speaker 1: get serious, like Mars is a good planet to live here, 882 00:52:00,080 --> 00:52:03,360 Speaker 1: not a good planet, no planet. The way they addressed 883 00:52:03,400 --> 00:52:05,399 Speaker 1: that is by shifting the timeline so they're like four 884 00:52:05,800 --> 00:52:07,360 Speaker 1: years in the future, we'll be able to travel to 885 00:52:07,400 --> 00:52:10,719 Speaker 1: other planets and we will have done that with all 886 00:52:10,760 --> 00:52:14,399 Speaker 1: of our amazing like petrochemical extraction and stuff like we 887 00:52:14,440 --> 00:52:18,120 Speaker 1: will we did that like gold Star for us. Yeah, yeah, yeah, 888 00:52:18,280 --> 00:52:20,480 Speaker 1: it's the Cave and Doctor Strangelove. It's a bunch of 889 00:52:20,520 --> 00:52:23,520 Speaker 1: like rich guys in the room deciding they'll just have 890 00:52:23,600 --> 00:52:26,760 Speaker 1: to be the ones who carry the species forward by 891 00:52:26,880 --> 00:52:30,280 Speaker 1: you know, having sex a bunch in a cave somewhere, 892 00:52:30,520 --> 00:52:35,319 Speaker 1: and yeah it's got to I got to watch that 893 00:52:35,680 --> 00:52:38,080 Speaker 1: film for a class in high school, and I'm still like, 894 00:52:38,120 --> 00:52:41,520 Speaker 1: what a great great Like we had a class movie 895 00:52:41,600 --> 00:52:44,680 Speaker 1: night to watch and discussed. After Strange Love, I'm like, 896 00:52:45,880 --> 00:52:47,640 Speaker 1: I would like to go back to school some days, 897 00:52:47,800 --> 00:52:53,040 Speaker 1: no grades, no homework, just like you know, the experiences, Yeah, 898 00:52:53,200 --> 00:52:58,320 Speaker 1: just the vibes. Al Right, well, enough of the light stuff. 899 00:52:58,360 --> 00:53:00,879 Speaker 1: We do have to get to the mob stick. Let's 900 00:53:00,920 --> 00:53:03,719 Speaker 1: take a quick let's take a quick break and we'll 901 00:53:03,760 --> 00:53:19,280 Speaker 1: be right back and we're back. Yeah, sorry, sorry for Yeah, 902 00:53:19,920 --> 00:53:21,799 Speaker 1: we we ended up filling up a lot of time 903 00:53:21,880 --> 00:53:25,920 Speaker 1: with effective altruism. But when I think the rare, the 904 00:53:26,000 --> 00:53:30,640 Speaker 1: question on everyone's mind is t g I Friday's mots 905 00:53:30,640 --> 00:53:36,120 Speaker 1: sticks got no mots really really a disappointing stuff coming 906 00:53:36,120 --> 00:53:39,520 Speaker 1: out of this uh, this this ex brand food company 907 00:53:39,560 --> 00:53:43,719 Speaker 1: that I'm now a virulent hater of Inventor Foods Incorporated. 908 00:53:43,840 --> 00:53:46,200 Speaker 1: So um oh, but they sound so wholesome. They sound 909 00:53:47,040 --> 00:53:53,120 Speaker 1: inventure foods inventure all right. Well, long story short, A 910 00:53:53,160 --> 00:53:56,040 Speaker 1: federal judge in Chicago allowed a class actually lawsuit to 911 00:53:56,080 --> 00:53:59,360 Speaker 1: move forward when it was discovered that the advertised g 912 00:53:59,560 --> 00:54:02,719 Speaker 1: G I for Friday's Mozzarella Snacks sticks actually do not 913 00:54:02,800 --> 00:54:08,160 Speaker 1: contain mozzarella, but only cheddar cheese. Okay, I know, so 914 00:54:08,440 --> 00:54:11,839 Speaker 1: are these the frozen the frozen one? So the big 915 00:54:11,920 --> 00:54:15,200 Speaker 1: note that we have on this is, if you, like me, 916 00:54:15,840 --> 00:54:19,040 Speaker 1: love to just get your Friday's started by snacking on 917 00:54:19,080 --> 00:54:21,480 Speaker 1: some apps that your local teaching I Friday's fret not. 918 00:54:21,680 --> 00:54:24,120 Speaker 1: The story is not about the actual restaurants. You're good. 919 00:54:24,400 --> 00:54:27,560 Speaker 1: You can still get your points, your whatever cocktail they 920 00:54:27,600 --> 00:54:30,040 Speaker 1: got going on Fridays, and enjoy some apps. Were all 921 00:54:30,080 --> 00:54:33,719 Speaker 1: down for that. However, when it comes to the frozen snacks, 922 00:54:33,760 --> 00:54:37,839 Speaker 1: of which I am also a fan, We're being We're 923 00:54:37,880 --> 00:54:40,799 Speaker 1: being lied to. We're being lied to. And I think 924 00:54:40,840 --> 00:54:45,200 Speaker 1: that this story, while absolutely not important at all, also 925 00:54:45,520 --> 00:54:48,880 Speaker 1: comes at a time when we are seeing the repercussions 926 00:54:49,080 --> 00:54:53,440 Speaker 1: of people taking what is advertised at face value. And 927 00:54:53,480 --> 00:54:56,440 Speaker 1: I think that it is important that we crush this 928 00:54:56,600 --> 00:55:00,520 Speaker 1: narrative that the infant your in the part me that 929 00:55:00,640 --> 00:55:04,440 Speaker 1: the very cool company Invator Food thinks claims is what 930 00:55:04,400 --> 00:55:08,520 Speaker 1: would they say, Uh, it's not reasonable that a customer 931 00:55:08,560 --> 00:55:13,919 Speaker 1: would think a shelf stable crunchy snacks product actually contained mozzarella, 932 00:55:14,360 --> 00:55:18,520 Speaker 1: which is such horseshit to me. You can't be advertising 933 00:55:18,520 --> 00:55:20,960 Speaker 1: something and be like, Okay, well surely you didn't actually 934 00:55:21,040 --> 00:55:23,680 Speaker 1: think it was going to have this. Just say it 935 00:55:23,719 --> 00:55:26,160 Speaker 1: doesn't have it. This is like the Pepsi points thing 936 00:55:26,280 --> 00:55:29,839 Speaker 1: all over. They're like did you watch that? I loved it. 937 00:55:29,960 --> 00:55:34,040 Speaker 1: I'm not gonna Oh, Jack Lee would like, what have 938 00:55:34,120 --> 00:55:36,719 Speaker 1: you been doing? There's a Netflix show it's called like Dude, 939 00:55:36,719 --> 00:55:39,480 Speaker 1: Where's My Jet? And it's about this kid who in 940 00:55:39,520 --> 00:55:42,680 Speaker 1: the nineties collected all these Pepsi points so that actually 941 00:55:42,680 --> 00:55:44,440 Speaker 1: he bought them because you could buy them based on 942 00:55:44,480 --> 00:55:46,400 Speaker 1: a fine print, so that he could get a jet 943 00:55:46,440 --> 00:55:49,480 Speaker 1: which was advertised a really expensive fighter jet. And it 944 00:55:49,600 --> 00:55:51,360 Speaker 1: ended up going through the court system and there was 945 00:55:51,360 --> 00:55:54,040 Speaker 1: this really pro corporate judge which we could end up 946 00:55:54,080 --> 00:55:56,000 Speaker 1: with here. I mean, I mean the Judge might just 947 00:55:56,040 --> 00:55:58,560 Speaker 1: be like, yeah, mozzarella chet or what's the difference, n 948 00:55:58,600 --> 00:56:04,000 Speaker 1: b D? You know, so, so yeah, it's quite a 949 00:56:04,040 --> 00:56:06,040 Speaker 1: good Netflix show. I would recommend it if you're into 950 00:56:06,040 --> 00:56:10,000 Speaker 1: like nineties nostalgia and like, you couldn't really call it crime. 951 00:56:10,080 --> 00:56:13,319 Speaker 1: I guess it's like advertising false advertise. It's it's quite 952 00:56:13,320 --> 00:56:15,120 Speaker 1: funny and it's what I think. It's what we're going 953 00:56:15,160 --> 00:56:18,040 Speaker 1: through here with the idea that the no reasonable person 954 00:56:18,120 --> 00:56:21,120 Speaker 1: would think. It's that the you have to be at 955 00:56:21,120 --> 00:56:23,760 Speaker 1: this point, we are all so familiar with the idea 956 00:56:23,800 --> 00:56:26,120 Speaker 1: of fine print. It's like everything is on the fine print. 957 00:56:26,320 --> 00:56:28,960 Speaker 1: So any little, like you know, any leeway that we're 958 00:56:29,000 --> 00:56:31,520 Speaker 1: allowed to have, we're looking for that. And so when 959 00:56:31,520 --> 00:56:34,480 Speaker 1: you advertise a Harrier jet for seven million Pepsi points, 960 00:56:35,040 --> 00:56:37,560 Speaker 1: I'm figuring out how to get those seven million pepsi 961 00:56:37,640 --> 00:56:40,520 Speaker 1: points and getting a Harrier jet. And in this scenario, 962 00:56:40,760 --> 00:56:43,359 Speaker 1: if you're saying their mon sticks, I'm expecting to take 963 00:56:43,360 --> 00:56:45,880 Speaker 1: those things out of the microwave, crack them open, and 964 00:56:45,920 --> 00:56:49,000 Speaker 1: have that gooey, gooey mess of mozzarella cheese spill out 965 00:56:49,000 --> 00:56:51,280 Speaker 1: onto my plate. And when you're telling me it's cheddar 966 00:56:51,680 --> 00:56:55,319 Speaker 1: I'm taking you to court for shame. I'm glad that 967 00:56:55,400 --> 00:57:01,080 Speaker 1: kid didn't get a Harrier jet personally, Like, how was 968 00:57:01,120 --> 00:57:03,279 Speaker 1: he planning to fuel that? That is a big part 969 00:57:03,280 --> 00:57:05,480 Speaker 1: of the first episode, yes, but it it moves on 970 00:57:05,560 --> 00:57:09,640 Speaker 1: from there also. I'm just surprised, as a food lover 971 00:57:09,719 --> 00:57:12,960 Speaker 1: such as yourself, that you were a fan of these 972 00:57:13,080 --> 00:57:16,320 Speaker 1: and didn't, like, do have they taken all the flavor 973 00:57:16,360 --> 00:57:19,360 Speaker 1: out of the cheddar to disguise it as mazzarella? Those 974 00:57:19,400 --> 00:57:22,040 Speaker 1: aren't Those are two cheeses that seem like they would 975 00:57:22,040 --> 00:57:25,480 Speaker 1: be easily discernible from one another. You know, that's funny 976 00:57:25,480 --> 00:57:31,720 Speaker 1: that you mentioned that, because like, while cheddar by on display, 977 00:57:32,400 --> 00:57:35,120 Speaker 1: we're back, Um, you know what's fun what's fun about 978 00:57:35,200 --> 00:57:37,200 Speaker 1: cheddar cheese vers? And you find this with like you 979 00:57:37,240 --> 00:57:39,280 Speaker 1: know how Subway had the all of our meats are 980 00:57:39,320 --> 00:57:41,560 Speaker 1: just turkey and blah blah blah. It's like you can 981 00:57:41,640 --> 00:57:45,120 Speaker 1: kind of just inject flavor into these very base substances 982 00:57:45,160 --> 00:57:47,760 Speaker 1: to make them whatever you want. And cheddar is definitely 983 00:57:47,800 --> 00:57:49,280 Speaker 1: one of those kinds of cheese that has such a 984 00:57:49,400 --> 00:57:51,840 Speaker 1: range of flavors. You have your very soft mild cheddars 985 00:57:51,880 --> 00:57:54,760 Speaker 1: to your super sharp Vermonts or whatever, where it's like 986 00:57:54,920 --> 00:57:58,200 Speaker 1: Cheddar can be Cheddar can be anything, baby, But it's like, 987 00:57:58,280 --> 00:58:02,440 Speaker 1: in this particular scenario, you're advertising mots. What are you doing? 988 00:58:02,960 --> 00:58:06,040 Speaker 1: What are you doing? But at least it wasn't American 989 00:58:08,560 --> 00:58:12,000 Speaker 1: find the silver lining American. But that's a different story entirely. 990 00:58:12,000 --> 00:58:14,720 Speaker 1: That goes to the Burger thing, which I'm slowly transitioning 991 00:58:14,720 --> 00:58:18,280 Speaker 1: out of. But alas guys, I think this might be 992 00:58:18,320 --> 00:58:20,760 Speaker 1: as big of a story as like the fossil field 993 00:58:20,800 --> 00:58:23,520 Speaker 1: companies lying to us for like decades about climate change. 994 00:58:23,560 --> 00:58:25,400 Speaker 1: I mean, I mean this is like this should be 995 00:58:25,440 --> 00:58:28,520 Speaker 1: on the cover. All have a piece, right. It's like 996 00:58:28,800 --> 00:58:32,440 Speaker 1: it's the sense of like we're a corporation and we 997 00:58:32,480 --> 00:58:35,880 Speaker 1: can say whatever, and we can puppeteer people in ways 998 00:58:36,080 --> 00:58:41,600 Speaker 1: that are minor like the Cheddar slide, and also really major, 999 00:58:41,640 --> 00:58:43,520 Speaker 1: like I don't know, we'll bake the planet and in 1000 00:58:43,560 --> 00:58:47,600 Speaker 1: the world Mozzarella stick and guess what you're not going 1001 00:58:47,640 --> 00:58:51,080 Speaker 1: to get to do on a you know, baked planet. 1002 00:58:51,080 --> 00:58:53,040 Speaker 1: You're not going to get to have those nice Monts realist, 1003 00:58:53,280 --> 00:58:55,479 Speaker 1: not to get to have them at all. Nobody wants 1004 00:58:55,480 --> 00:59:01,920 Speaker 1: a future without Moza realistic than cheddar the like shit cheese. 1005 00:59:02,280 --> 00:59:04,600 Speaker 1: I also didn't realize that the people that you could 1006 00:59:04,600 --> 00:59:07,520 Speaker 1: be like, oh my god, they're trying to serve me cheddar, 1007 00:59:09,720 --> 00:59:13,760 Speaker 1: Like how dare you? I thought cheddar was like it's 1008 00:59:13,800 --> 00:59:17,080 Speaker 1: definitely a more flavorful, Like sharp cheddar is very flavorful. 1009 00:59:18,800 --> 00:59:21,840 Speaker 1: I'm just saying that. I'm it's always interesting. Like so 1010 00:59:22,200 --> 00:59:25,439 Speaker 1: there's that book Salt Sugar Fat by Michael Moss that 1011 00:59:25,760 --> 00:59:28,600 Speaker 1: is about like the how the food industry operates, and 1012 00:59:28,600 --> 00:59:31,400 Speaker 1: they have this section that I always bring up because 1013 00:59:31,400 --> 00:59:33,960 Speaker 1: it's so mind blowing that like a lot of the 1014 00:59:35,000 --> 00:59:39,360 Speaker 1: like cheesiness of food in the eighties and nineties was 1015 00:59:39,480 --> 00:59:43,800 Speaker 1: driven by an excess of milk fat that they had 1016 00:59:43,920 --> 00:59:48,640 Speaker 1: stored in a cave somewhere. Because of skim milks popularity 1017 00:59:48,720 --> 00:59:51,880 Speaker 1: in the late seventies and early eighties, they had all 1018 00:59:51,920 --> 00:59:56,000 Speaker 1: these fat like excesses, and so they were like all right, 1019 00:59:56,040 --> 00:59:59,640 Speaker 1: so they made deals with fast food companies that and 1020 00:59:59,680 --> 01:00:02,160 Speaker 1: they could get like cheese really cheaply. So I'm just 1021 01:00:02,640 --> 01:00:07,760 Speaker 1: like picturing a cheddar cheese exit like a bumper cheddar cheese, 1022 01:00:07,800 --> 01:00:09,920 Speaker 1: and they're just like backing a truck up to these 1023 01:00:10,120 --> 01:00:13,600 Speaker 1: places just being take this cheddar off our hands, please. 1024 01:00:13,760 --> 01:00:15,800 Speaker 1: The same thing with corn subsidies and high fruc doust 1025 01:00:15,800 --> 01:00:17,680 Speaker 1: corn syrup. It's the same reason. So we have such 1026 01:00:17,720 --> 01:00:20,040 Speaker 1: an excess of it because of how we subsidize it 1027 01:00:20,480 --> 01:00:24,800 Speaker 1: that we just put it in literally everything. Yeah, they 1028 01:00:25,520 --> 01:00:26,880 Speaker 1: can do it. They can get away with it. They 1029 01:00:26,920 --> 01:00:32,000 Speaker 1: can't be sued because the Supreme Court is protecting corporations. 1030 01:00:32,200 --> 01:00:36,000 Speaker 1: Long story short, paid for about the fossil fuel industry, bam. 1031 01:00:36,200 --> 01:00:38,720 Speaker 1: Long story short. Power to the people. Don't be lied 1032 01:00:38,760 --> 01:00:41,720 Speaker 1: to buy these large conglomerates, and don't let Inventure Foods 1033 01:00:41,760 --> 01:00:44,320 Speaker 1: tell you that you can't have motsticks out of the microwave, 1034 01:00:44,520 --> 01:00:47,520 Speaker 1: thank you very much. And don't and don't let whoever 1035 01:00:47,600 --> 01:00:51,120 Speaker 1: did the branding for Inventure food to get near your startup. 1036 01:00:52,000 --> 01:00:54,520 Speaker 1: Just just be honest. If you who doesn't have any 1037 01:00:54,560 --> 01:00:56,480 Speaker 1: milk in it, call it a chocolate drink. And I'm 1038 01:00:56,480 --> 01:00:58,400 Speaker 1: fine with that. And that's what they have done. They 1039 01:00:58,440 --> 01:01:00,920 Speaker 1: made that decision, and I'm fine with that. I'm still 1040 01:01:00,960 --> 01:01:04,640 Speaker 1: sipping on that. You who find yeah, yeah, all right, 1041 01:01:04,720 --> 01:01:07,960 Speaker 1: well Catherine Leah, such a pleasure having you both on 1042 01:01:08,120 --> 01:01:12,160 Speaker 1: the daily Zeitgeist. Where can people find you? Follow you here? 1043 01:01:12,240 --> 01:01:14,560 Speaker 1: You all that good stuff. Well, you can find the 1044 01:01:14,600 --> 01:01:20,040 Speaker 1: pod at degrees pod dot com and anywhere anywhere anywhere 1045 01:01:20,080 --> 01:01:23,280 Speaker 1: you get podcasts. Wherever you're listening to this podcast, we 1046 01:01:23,320 --> 01:01:26,640 Speaker 1: are also there. You can find me on social media 1047 01:01:26,760 --> 01:01:31,440 Speaker 1: at dr k Wilkinson and I'm I'm on Twitter, however 1048 01:01:31,440 --> 01:01:34,640 Speaker 1: along that platform lasts at at Leah with an H. 1049 01:01:34,840 --> 01:01:39,439 Speaker 1: Stokes and uh yeah, we're out there trying to save 1050 01:01:39,480 --> 01:01:42,480 Speaker 1: the planet and we are always always wanting more people 1051 01:01:42,560 --> 01:01:45,040 Speaker 1: to jump in on the climate bandwagon. It is a 1052 01:01:45,040 --> 01:01:48,800 Speaker 1: cool band wagon and it is open for all, especially 1053 01:01:48,840 --> 01:01:50,800 Speaker 1: with the heat pump up. It's pretty cool. I know, 1054 01:01:50,960 --> 01:01:55,520 Speaker 1: the very fairy dance parties, just like it's very cool. 1055 01:01:56,120 --> 01:01:58,520 Speaker 1: Is there a tweet or some of the work of 1056 01:01:58,640 --> 01:02:03,600 Speaker 1: social media that you've been enjoying, Leah, let's start with you. Well, 1057 01:02:03,640 --> 01:02:05,840 Speaker 1: I think I misunderstood the assignment because I don't know 1058 01:02:05,840 --> 01:02:10,640 Speaker 1: if you're remembered that I read books. Uh my, my 1059 01:02:10,760 --> 01:02:15,200 Speaker 1: media is a book. Oh and actually I think you 1060 01:02:15,280 --> 01:02:17,680 Speaker 1: might quite like this book, Jack, given what you've been saying. 1061 01:02:17,760 --> 01:02:20,280 Speaker 1: It's called Ducks two Years in the Oil Sands, and 1062 01:02:20,320 --> 01:02:23,400 Speaker 1: it's the graphic novel written by Kate Beaton, who did 1063 01:02:23,480 --> 01:02:26,320 Speaker 1: that whole herk of vagrant stuff if you remember. Anyway, 1064 01:02:26,440 --> 01:02:29,720 Speaker 1: she's like a cool comic. Anyway. It's a book about 1065 01:02:29,840 --> 01:02:32,760 Speaker 1: like the horrors that is capitalism and the fossil field 1066 01:02:32,760 --> 01:02:37,040 Speaker 1: industries and it's beautiful. It's it's about the tar sands 1067 01:02:37,080 --> 01:02:40,360 Speaker 1: in Canada, and I just loved it. So, um, that's 1068 01:02:40,360 --> 01:02:42,520 Speaker 1: what That's what I'm really into right now. Ducks two 1069 01:02:42,600 --> 01:02:46,600 Speaker 1: years in the oil sands. But sorry, it's not yeah, 1070 01:02:46,720 --> 01:02:48,920 Speaker 1: d like ducks, like like I just didn't know how 1071 01:02:48,920 --> 01:02:52,000 Speaker 1: to spell, like quack quack like quack quack. Yeah, there 1072 01:02:52,000 --> 01:02:54,520 Speaker 1: you go. I don't know if you know words they 1073 01:02:54,600 --> 01:02:57,880 Speaker 1: come in books and stuff. That's like yeah, yeah, now 1074 01:02:57,920 --> 01:03:04,160 Speaker 1: that the quack quack was actually very helpful you Oh. 1075 01:03:04,200 --> 01:03:08,320 Speaker 1: I mean when I saw Dave Wasserman's tweet last night, 1076 01:03:08,360 --> 01:03:11,800 Speaker 1: I've seen enough like that tweet gave me more life 1077 01:03:11,800 --> 01:03:15,080 Speaker 1: than anything on social media recently. I've also on the 1078 01:03:15,120 --> 01:03:19,280 Speaker 1: book thread I've been. Did you know about the Libby app? Yes, 1079 01:03:19,400 --> 01:03:23,320 Speaker 1: it's cont to your library cards, lady, Okay, it's connected 1080 01:03:23,360 --> 01:03:26,480 Speaker 1: to your public library and you can just go wild 1081 01:03:26,520 --> 01:03:29,560 Speaker 1: on audiobooks because unlikely I do not have time or 1082 01:03:29,680 --> 01:03:32,400 Speaker 1: enough time to read and so I've been listening to 1083 01:03:32,640 --> 01:03:35,600 Speaker 1: Octavia Butler, Parable of the Sower and now parable of 1084 01:03:35,600 --> 01:03:38,800 Speaker 1: the Talents, and man, I mean there's a guy who 1085 01:03:38,880 --> 01:03:42,600 Speaker 1: runs for president on the theme of make America great again. 1086 01:03:42,680 --> 01:03:46,840 Speaker 1: Like this woman was so tapping into the future. I 1087 01:03:46,920 --> 01:03:49,040 Speaker 1: just read the first one a couple of months ago. 1088 01:03:49,240 --> 01:03:53,240 Speaker 1: Actually I was scared. I was like a little scared. 1089 01:03:54,560 --> 01:03:57,400 Speaker 1: The second one is kind of upsetting, though, to be honest, 1090 01:03:57,440 --> 01:03:59,480 Speaker 1: I gotta be honest. I got about three quarters the 1091 01:03:59,480 --> 01:04:01,520 Speaker 1: way through pair Bold. The talent sounds like this is 1092 01:04:01,600 --> 01:04:05,560 Speaker 1: so depressing, but I mean it's great. She's genius, she's 1093 01:04:05,600 --> 01:04:09,160 Speaker 1: a prophet, she saw the future. But like, yeah, we 1094 01:04:09,200 --> 01:04:15,520 Speaker 1: get it just gets a little depressing, you know what 1095 01:04:15,560 --> 01:04:22,520 Speaker 1: I mean? Like Dannel, I'll go ahead. I know I 1096 01:04:22,560 --> 01:04:24,560 Speaker 1: was going to jump the gun and just say thank you, 1097 01:04:24,680 --> 01:04:27,120 Speaker 1: but now I want to hear from what about you? 1098 01:04:27,280 --> 01:04:30,400 Speaker 1: Do you read books? Are you still on the how 1099 01:04:30,440 --> 01:04:34,160 Speaker 1: about you dumped up? But Lord knows, we're about to 1100 01:04:34,200 --> 01:04:37,360 Speaker 1: bring the quality of the content way down here with 1101 01:04:37,400 --> 01:04:40,680 Speaker 1: a couple of stupid ass tweets because I live for 1102 01:04:41,000 --> 01:04:45,480 Speaker 1: an absolutely inconsequential observation about nothing. So this one comes 1103 01:04:45,480 --> 01:04:47,680 Speaker 1: from Elite of Battle Angel Wait First of all, you 1104 01:04:47,680 --> 01:04:49,880 Speaker 1: can find me on the internet at DJ underscore Danial 1105 01:04:50,000 --> 01:04:53,120 Speaker 1: on all Things. I'm live on Twitch Wednesdays, Fridays and Sundays. 1106 01:04:53,160 --> 01:04:55,400 Speaker 1: If you want to see bad Rocket League and me 1107 01:04:55,800 --> 01:04:58,080 Speaker 1: eating food in a gross manner. That's not really true 1108 01:04:58,200 --> 01:04:59,560 Speaker 1: to do that all the time, just sometimes, but it's 1109 01:04:59,600 --> 01:05:01,800 Speaker 1: fun to do anyway. This is a tweet from elitea 1110 01:05:01,840 --> 01:05:05,520 Speaker 1: battle angel stand account at Punished Picnic. Here's the problem 1111 01:05:05,520 --> 01:05:09,600 Speaker 1: with fruit. It's inconsistent. Some apples are delicious, some tastes bad. 1112 01:05:10,120 --> 01:05:13,600 Speaker 1: Sometimes blueberries are great, sometimes they are disgusting. You know 1113 01:05:13,640 --> 01:05:18,880 Speaker 1: what's the same every time? Dorrito's that's good point. That's 1114 01:05:18,920 --> 01:05:24,600 Speaker 1: that capitalist consistency. That is where like we could have 1115 01:05:24,800 --> 01:05:28,240 Speaker 1: all of this ship fixed by now, but the instead, 1116 01:05:28,440 --> 01:05:31,640 Speaker 1: like all of our brightest minds went into the labs 1117 01:05:31,680 --> 01:05:36,520 Speaker 1: at Doritos and created the perfect nacho cheese flavor Dorito 1118 01:05:36,640 --> 01:05:39,760 Speaker 1: that you can't stop eating. That is where the greatest 1119 01:05:39,800 --> 01:05:44,600 Speaker 1: minds and the scientific innovations have gone for the past century. 1120 01:05:44,680 --> 01:05:46,880 Speaker 1: I got I got one more slightly more contemporary one 1121 01:05:46,920 --> 01:05:50,600 Speaker 1: from Josh Gondleman at Josh Gondleman. This new AI picture 1122 01:05:50,640 --> 01:05:53,320 Speaker 1: thing is ridiculous. If you want a portrait of yourself, 1123 01:05:53,400 --> 01:05:55,600 Speaker 1: you should get it the old fashioned way by falling 1124 01:05:55,600 --> 01:05:58,160 Speaker 1: in love with the charming stranger on an intercontinental sea 1125 01:05:58,200 --> 01:06:00,160 Speaker 1: voyage and then paying him to draw you like one 1126 01:06:00,200 --> 01:06:03,200 Speaker 1: of his French girls. Yes, thank you, that's the way 1127 01:06:03,240 --> 01:06:07,800 Speaker 1: it's done. Amen to that, Jack, What about you? Gosh 1128 01:06:07,840 --> 01:06:09,959 Speaker 1: a lot of really smart stuff. I think I'm gonna 1129 01:06:10,000 --> 01:06:13,400 Speaker 1: go with this tweet from Drill. In real life, Yoda 1130 01:06:13,480 --> 01:06:20,240 Speaker 1: would get eaten by a dog. Yoda, dude, it's just 1131 01:06:20,320 --> 01:06:23,280 Speaker 1: harsh facts. You know. We're all about living in that reality. 1132 01:06:27,000 --> 01:06:31,480 Speaker 1: Oh like that does feel kind of parable. Of the talents. 1133 01:06:36,600 --> 01:06:40,160 Speaker 1: You can find me on Twitter at Jack Underscore O'Brien. 1134 01:06:40,200 --> 01:06:42,720 Speaker 1: You can find us on Twitter at Daily Zeichgeist. We're 1135 01:06:42,760 --> 01:06:45,480 Speaker 1: at the Daily Ziegeist on Instagram. We have a Facebook 1136 01:06:45,480 --> 01:06:47,920 Speaker 1: fan page and a website Daily zi geist dot com, 1137 01:06:47,920 --> 01:06:51,480 Speaker 1: where we post our episodes and our foot foot off 1138 01:06:51,600 --> 01:06:54,240 Speaker 1: the information that we talked about in today's episode, as 1139 01:06:54,240 --> 01:06:56,040 Speaker 1: well as we like off to a song that we 1140 01:06:56,120 --> 01:06:58,920 Speaker 1: think you might enjoy. And with Miles out, we like 1141 01:06:59,000 --> 01:07:02,360 Speaker 1: to always ask super producer Justin Smith if there's a 1142 01:07:02,360 --> 01:07:05,840 Speaker 1: song that he would like to recommend. I do. I'm 1143 01:07:05,880 --> 01:07:10,720 Speaker 1: going to visit my beloved home city of Chicago. So tomorrow, 1144 01:07:10,840 --> 01:07:12,800 Speaker 1: so I'll be out for the next couple of days. 1145 01:07:12,800 --> 01:07:15,000 Speaker 1: So I want to shine some light on a Chicago artist. 1146 01:07:15,280 --> 01:07:18,800 Speaker 1: This is an artist named Nax Fortune comes from Oak Park, 1147 01:07:18,840 --> 01:07:21,480 Speaker 1: Shadow Oak Park. This is a song called Little Thing. 1148 01:07:21,760 --> 01:07:25,360 Speaker 1: It's such a nostalgic vibe for me. If you are 1149 01:07:25,520 --> 01:07:28,120 Speaker 1: a child in the nineties, this will really have you 1150 01:07:28,160 --> 01:07:30,560 Speaker 1: feel in a certain way. It's got a low fi 1151 01:07:31,280 --> 01:07:34,200 Speaker 1: d I y kind of style to it and it's 1152 01:07:34,280 --> 01:07:36,800 Speaker 1: just like bright pads and talking about a summer love 1153 01:07:37,240 --> 01:07:39,360 Speaker 1: and it really will send you back to that time 1154 01:07:39,440 --> 01:07:41,640 Speaker 1: of you know, just being in the young kid in 1155 01:07:41,640 --> 01:07:45,400 Speaker 1: the city. So this is a Little Thing by nots Fortune. 1156 01:07:45,480 --> 01:07:49,840 Speaker 1: You can find that in the footnotes. All right, well, 1157 01:07:49,960 --> 01:07:51,480 Speaker 1: we will link off to that in the footnotes. The 1158 01:07:51,560 --> 01:07:53,840 Speaker 1: Daily Zeke is the production of iHeart Radio. For more 1159 01:07:53,840 --> 01:07:56,200 Speaker 1: podcast for my Heart Radio, visit the I Heart Radio app, 1160 01:07:56,200 --> 01:07:58,720 Speaker 1: Apple podcast, or wherever you listen to your favorite shows. 1161 01:07:59,280 --> 01:08:01,000 Speaker 1: That's gonna do it for us this morning, back this 1162 01:08:01,080 --> 01:08:03,920 Speaker 1: afternoon to tell you what is trending, and we'll talk 1163 01:08:03,960 --> 01:08:09,880 Speaker 1: to you all then. Bye. Mm hmmmmm.