1 00:00:00,160 --> 00:00:03,360 Speaker 1: Hello the Internet, and welcome to this episode of The 2 00:00:03,560 --> 00:00:07,880 Speaker 1: Weekly Zeitgeist. Uh. These are some of our favorite segments 3 00:00:08,119 --> 00:00:14,880 Speaker 1: from this week, all edited together into one NonStop infotainment 4 00:00:16,040 --> 00:00:22,440 Speaker 1: last stravaganza. Uh yeah, So, without further ado, here is 5 00:00:22,680 --> 00:00:28,280 Speaker 1: the Weekly Zeitgeist. Really uh, Eves, what is something that 6 00:00:28,320 --> 00:00:32,919 Speaker 1: you think is underrated? Hm? So I had to think 7 00:00:33,000 --> 00:00:36,080 Speaker 1: really hard about this. Um, But I think that's saying 8 00:00:36,200 --> 00:00:39,839 Speaker 1: I don't know is underrated. Um, this is big. This 9 00:00:39,920 --> 00:00:42,279 Speaker 1: has been a new trend yet. Yeah. Yeah, I think 10 00:00:42,320 --> 00:00:45,559 Speaker 1: it is. And and obviously it's really true that there 11 00:00:45,600 --> 00:00:49,159 Speaker 1: is a world of info like at our availability that 12 00:00:49,200 --> 00:00:51,800 Speaker 1: we have a media access to, Like that's definitely true. 13 00:00:52,200 --> 00:00:55,600 Speaker 1: A Google is a click away, like we have all 14 00:00:55,640 --> 00:00:58,040 Speaker 1: of that at our hands. And I feel very fortunate, 15 00:00:58,080 --> 00:01:00,280 Speaker 1: you know, to be able to look up whatever I 16 00:01:00,360 --> 00:01:03,760 Speaker 1: want to, including exercise induced or to carry it. Um, 17 00:01:03,880 --> 00:01:08,640 Speaker 1: to figure that out. But I think that when you know, 18 00:01:09,840 --> 00:01:12,559 Speaker 1: it's definitely important when it comes to when we're uninformed 19 00:01:12,560 --> 00:01:14,320 Speaker 1: on something like being able to say I don't know, 20 00:01:15,000 --> 00:01:17,880 Speaker 1: it's just I don't know. I mean it feels kind 21 00:01:17,880 --> 00:01:19,600 Speaker 1: of freeing in a way where it's like I do 22 00:01:19,760 --> 00:01:21,360 Speaker 1: I would say that I feel a lot of the 23 00:01:21,400 --> 00:01:23,840 Speaker 1: time the pressure to know everything because I know that 24 00:01:23,920 --> 00:01:26,800 Speaker 1: I do have all of that information at my fingertips. 25 00:01:26,800 --> 00:01:30,000 Speaker 1: But I also think in a larger way in a scope, 26 00:01:30,080 --> 00:01:32,039 Speaker 1: just saying I don't know, it's kind of freeing because 27 00:01:32,040 --> 00:01:34,759 Speaker 1: there's so much that there is uncertainty around right now 28 00:01:34,760 --> 00:01:36,920 Speaker 1: when it comes to the future, like and I think 29 00:01:36,959 --> 00:01:41,039 Speaker 1: about that specifically around abolition, Like we have we have 30 00:01:41,200 --> 00:01:43,240 Speaker 1: a lot of ideas about what we want to work, 31 00:01:43,600 --> 00:01:45,400 Speaker 1: how we want it to work, the kind of future 32 00:01:45,440 --> 00:01:47,640 Speaker 1: that we want to build, and the kind of world 33 00:01:47,880 --> 00:01:51,360 Speaker 1: that we want to see. Um. But I think that 34 00:01:51,520 --> 00:01:53,960 Speaker 1: there is something very valuable in being able to say 35 00:01:54,000 --> 00:01:56,520 Speaker 1: I don't know around I have no fucking idea if 36 00:01:56,560 --> 00:01:58,920 Speaker 1: those ideas are going to work, I have no idea 37 00:01:58,960 --> 00:02:01,960 Speaker 1: how long they'll take to or I have like, I 38 00:02:02,040 --> 00:02:03,960 Speaker 1: have no idea of what I'm saying right now is 39 00:02:04,000 --> 00:02:05,680 Speaker 1: the right thing, if it's the wrong thing, if we 40 00:02:05,760 --> 00:02:07,840 Speaker 1: want to put things in the binary like that. But 41 00:02:07,880 --> 00:02:09,959 Speaker 1: I think that there is a way in which, yeah, 42 00:02:10,360 --> 00:02:13,040 Speaker 1: saying I don't know around specific issues right now is 43 00:02:13,040 --> 00:02:15,239 Speaker 1: so important because there are so many people fucking talking 44 00:02:15,280 --> 00:02:17,600 Speaker 1: who don't need to be, And then there's so many 45 00:02:17,600 --> 00:02:20,160 Speaker 1: people's voices who who need to be hurt that people 46 00:02:20,200 --> 00:02:23,400 Speaker 1: aren't listening to and yeah, um, like making sure that 47 00:02:23,440 --> 00:02:26,000 Speaker 1: those voices are uplifted is important and saying I don't know, 48 00:02:26,080 --> 00:02:30,400 Speaker 1: but it's also envisioning is being able to envision and 49 00:02:30,440 --> 00:02:34,840 Speaker 1: being able to assume risk, which I think obviously as 50 00:02:34,880 --> 00:02:38,160 Speaker 1: black people, I and if I can speak for the collective, 51 00:02:38,240 --> 00:02:40,919 Speaker 1: we are so risk averse for so many important reasons. 52 00:02:42,639 --> 00:02:44,680 Speaker 1: You know, we want to survive and we want to thrive. 53 00:02:44,800 --> 00:02:47,600 Speaker 1: But I think that saying I don't know, it's like, 54 00:02:48,160 --> 00:02:50,040 Speaker 1: you know, we can open ourselves up to risk, and 55 00:02:50,040 --> 00:02:52,480 Speaker 1: we can open ourselves up to uncertainty, and that's so 56 00:02:52,840 --> 00:02:54,960 Speaker 1: that like that's okay, that can be okay, and we 57 00:02:55,000 --> 00:02:57,720 Speaker 1: can tell ourselves that that that's okay because right now 58 00:02:57,720 --> 00:02:59,560 Speaker 1: we have a lot of information that we do know 59 00:03:00,080 --> 00:03:03,040 Speaker 1: that we don't want. Uh. And in a way there's 60 00:03:03,080 --> 00:03:05,120 Speaker 1: comfort and saying like, well, I know how this system 61 00:03:05,160 --> 00:03:08,560 Speaker 1: is operating already, all that data has been there's centuries 62 00:03:08,600 --> 00:03:10,080 Speaker 1: worth the data and on top of it, to your 63 00:03:10,080 --> 00:03:14,320 Speaker 1: point of the idea, especially around a lot of racial justice, 64 00:03:14,360 --> 00:03:19,280 Speaker 1: like this has been a field of academia for decades, uh, 65 00:03:19,280 --> 00:03:22,840 Speaker 1: and there have been many people putting their life's work 66 00:03:22,960 --> 00:03:26,919 Speaker 1: into these into you know, theorizing these things and uh 67 00:03:26,960 --> 00:03:29,639 Speaker 1: and investigating them and trying to figure out what is 68 00:03:29,680 --> 00:03:33,079 Speaker 1: a tangible way to dismantle these systems of oppression. And 69 00:03:33,360 --> 00:03:35,000 Speaker 1: but then, and I've said I think I said this 70 00:03:35,160 --> 00:03:38,440 Speaker 1: very earlier on, that's where there's another layer of racism, 71 00:03:38,520 --> 00:03:42,080 Speaker 1: that this form of academia runs into another like form 72 00:03:42,120 --> 00:03:43,920 Speaker 1: of gate keeping about sort of like what are these 73 00:03:43,920 --> 00:03:46,000 Speaker 1: black and brown people are gonna tell me about how 74 00:03:46,120 --> 00:03:50,440 Speaker 1: the justice system and there's things get held up and 75 00:03:50,560 --> 00:03:53,240 Speaker 1: we don't know that message doesn't reach the people it 76 00:03:53,280 --> 00:03:55,640 Speaker 1: needs to at you know, I think at the moment 77 00:03:55,680 --> 00:03:57,640 Speaker 1: they needed. And now I think with a lot of 78 00:03:57,640 --> 00:04:01,240 Speaker 1: this renewed enthusiasm or new and musiasm from new people 79 00:04:01,280 --> 00:04:04,400 Speaker 1: who are joining this movement, yeah, it really is important 80 00:04:04,440 --> 00:04:06,840 Speaker 1: to say, hey, you don't have to commit. No one's 81 00:04:06,840 --> 00:04:09,200 Speaker 1: asking you to come in here a fully formed ally 82 00:04:09,280 --> 00:04:12,200 Speaker 1: who knows every dimension of oppression and how to just 83 00:04:12,400 --> 00:04:15,160 Speaker 1: like dismantle it. The first thing is that you show 84 00:04:15,200 --> 00:04:18,160 Speaker 1: your enthusiasm for it. You're and then you're all open. 85 00:04:18,520 --> 00:04:21,000 Speaker 1: You are open to hearing things and you are open 86 00:04:21,040 --> 00:04:23,720 Speaker 1: to learning new things, just like everybody else is because 87 00:04:23,720 --> 00:04:25,360 Speaker 1: I think the way we get to where we are 88 00:04:25,800 --> 00:04:27,960 Speaker 1: is at a certain point, motherfucker's go already know everything, 89 00:04:27,960 --> 00:04:29,400 Speaker 1: So I don't need to keep I know what's best. 90 00:04:29,400 --> 00:04:31,279 Speaker 1: I will keep going down this path and just funding 91 00:04:31,279 --> 00:04:33,880 Speaker 1: the police and law enforcement and let the budgets keep 92 00:04:33,880 --> 00:04:35,919 Speaker 1: getting bigger and bigger and bigger, and you know, no 93 00:04:36,000 --> 00:04:40,640 Speaker 1: support for social safety nets, etcetera. Uh for sure. Yeah. 94 00:04:40,680 --> 00:04:42,560 Speaker 1: And I think that we often operate in the way 95 00:04:42,560 --> 00:04:45,719 Speaker 1: where we say we don't know so easily. Like we 96 00:04:45,720 --> 00:04:49,240 Speaker 1: we care a lot about science and about the parameters 97 00:04:49,279 --> 00:04:51,479 Speaker 1: that happen around science and know that it is a 98 00:04:51,520 --> 00:04:54,320 Speaker 1: thing that it's infinitely changing, and we know that that's 99 00:04:54,360 --> 00:04:57,359 Speaker 1: the foundation of science is something that will never know everything. 100 00:04:57,400 --> 00:04:59,240 Speaker 1: And the reason that we have science and that we 101 00:04:59,360 --> 00:05:02,320 Speaker 1: have experimentation and that we have continued with learning is 102 00:05:02,360 --> 00:05:05,200 Speaker 1: because we know we don't know everything. And like, just 103 00:05:05,279 --> 00:05:11,360 Speaker 1: applying that to this, I thought, what, everything can't tell 104 00:05:11,360 --> 00:05:13,360 Speaker 1: me anything new. I already heard everything. I've already seen 105 00:05:13,400 --> 00:05:17,679 Speaker 1: every episode of Law and Order. So conversation is over. Yeah, 106 00:05:16,480 --> 00:05:19,880 Speaker 1: And I think what's also interesting too is, you know, 107 00:05:20,000 --> 00:05:22,960 Speaker 1: smart people especially I think, actually have the hardest time 108 00:05:23,000 --> 00:05:26,480 Speaker 1: saying they don't know anything, especially if your self perception 109 00:05:26,600 --> 00:05:29,479 Speaker 1: is like oh, people come to me for information or 110 00:05:29,600 --> 00:05:32,599 Speaker 1: I'm I've been told, I've been of like I'm sharp 111 00:05:33,040 --> 00:05:35,800 Speaker 1: or whatever. I find that that is a thing, even 112 00:05:35,839 --> 00:05:39,000 Speaker 1: for me, like I found, you know, through years of therapy, 113 00:05:39,279 --> 00:05:41,560 Speaker 1: being able to be able to say, yeah, I don't 114 00:05:41,600 --> 00:05:44,200 Speaker 1: know that even though like you have. I know, for 115 00:05:44,279 --> 00:05:47,400 Speaker 1: me personally as a child, like trying to know everything 116 00:05:47,480 --> 00:05:49,800 Speaker 1: or get good grades, like started a habit of like 117 00:05:49,880 --> 00:05:52,520 Speaker 1: trying to know everything, but it didn't give me to 118 00:05:52,560 --> 00:05:55,600 Speaker 1: the healthy place of like actually the pursuit of knowledge 119 00:05:55,600 --> 00:05:58,120 Speaker 1: and wisdom, which is to then put your ego in 120 00:05:58,160 --> 00:06:01,200 Speaker 1: the fucking trash and say, bring me all of the 121 00:06:01,240 --> 00:06:03,800 Speaker 1: information so I could just blow my mind open. Yeah, 122 00:06:04,040 --> 00:06:07,159 Speaker 1: I feel like, oh no, I was just gonna say, yeah, 123 00:06:07,160 --> 00:06:08,960 Speaker 1: I agree with m I was like, I want to 124 00:06:08,960 --> 00:06:10,960 Speaker 1: say that I'm totally implicated in that as well, and 125 00:06:11,000 --> 00:06:14,160 Speaker 1: thinking like I'm a black woman, I know about blackness, 126 00:06:14,200 --> 00:06:16,560 Speaker 1: and like, you know, my experience is mine and really 127 00:06:16,560 --> 00:06:20,400 Speaker 1: getting caught up in my singular perspective and like really 128 00:06:20,440 --> 00:06:23,200 Speaker 1: having to unlearn and learn things in terms of like okay, 129 00:06:23,240 --> 00:06:27,600 Speaker 1: I'm staying from my specific worldview a transperson's life a 130 00:06:27,640 --> 00:06:30,080 Speaker 1: black life is nothing like my black life is. And 131 00:06:30,839 --> 00:06:33,839 Speaker 1: a person who is like from a different part of Georgia, like, 132 00:06:34,040 --> 00:06:36,600 Speaker 1: even if it's that small um than I am because 133 00:06:36,640 --> 00:06:38,960 Speaker 1: I grew up in the suburbs of Atlanta, like their 134 00:06:39,080 --> 00:06:40,719 Speaker 1: life is going to be very different than mine, even 135 00:06:40,760 --> 00:06:42,680 Speaker 1: if they're a black woman as well, and just like 136 00:06:42,960 --> 00:06:48,920 Speaker 1: snapping myself out of that. M Yeah, I've I've felt that, like, 137 00:06:49,560 --> 00:06:52,039 Speaker 1: and I wonder if it is connected to like how 138 00:06:52,120 --> 00:06:56,080 Speaker 1: we are programmed to learn in America, where I think 139 00:06:56,120 --> 00:06:58,920 Speaker 1: that there are times where if you don't know something 140 00:06:59,000 --> 00:07:01,840 Speaker 1: and someone tells you like that's not right, or like 141 00:07:02,360 --> 00:07:05,080 Speaker 1: I don't think you understand what is being said here, 142 00:07:05,360 --> 00:07:07,920 Speaker 1: that there is like a tendency to take that very 143 00:07:07,920 --> 00:07:12,400 Speaker 1: like personally and be like, what, I don't know something? 144 00:07:12,480 --> 00:07:14,200 Speaker 1: You know, It's like there is a tendency to take 145 00:07:14,240 --> 00:07:17,960 Speaker 1: it personally. I've felt that in in the past as well, 146 00:07:18,000 --> 00:07:20,240 Speaker 1: and it's like just unlearning that mentality of like if 147 00:07:20,280 --> 00:07:23,560 Speaker 1: someone tells you that you don't like first of all, 148 00:07:23,600 --> 00:07:25,239 Speaker 1: if you're not able to say you don't know something 149 00:07:25,280 --> 00:07:28,160 Speaker 1: and you get it wrong, like you have to not 150 00:07:28,320 --> 00:07:32,240 Speaker 1: make it this like battle of the ego to just say, oh, okay, 151 00:07:32,360 --> 00:07:36,920 Speaker 1: I'm listening, um, which a lot of people true is 152 00:07:37,440 --> 00:07:40,000 Speaker 1: for sure. I mean, yeah, that's just the I think 153 00:07:40,040 --> 00:07:42,280 Speaker 1: that's the other thing, too, is that it's so much 154 00:07:43,120 --> 00:07:46,480 Speaker 1: it's a lot harder actually to say you don't know, 155 00:07:46,800 --> 00:07:49,280 Speaker 1: but it's actually the best thing you can do. I 156 00:07:49,320 --> 00:07:53,880 Speaker 1: think you know that actually is a demonstration of higher aptitude, 157 00:07:53,880 --> 00:07:55,840 Speaker 1: because you can learn anything the second someone tells it 158 00:07:55,880 --> 00:07:57,720 Speaker 1: to you. But it's hard to put that ship aside 159 00:07:57,760 --> 00:08:00,760 Speaker 1: and say I don't know what you're talking about? Would 160 00:08:00,760 --> 00:08:03,240 Speaker 1: you mind telling you about that? I think can be, 161 00:08:03,400 --> 00:08:05,440 Speaker 1: you know, depending on how you look at yourself, a 162 00:08:05,520 --> 00:08:08,680 Speaker 1: difficult thing, especially when it comes to the politics and 163 00:08:08,880 --> 00:08:13,560 Speaker 1: people's identities. Repped m boy, What is something you think 164 00:08:13,680 --> 00:08:18,720 Speaker 1: is underrated? Okay, honestly, I think the damaging or delatorious 165 00:08:18,720 --> 00:08:22,280 Speaker 1: effects the callousness of people on social media. And I 166 00:08:22,840 --> 00:08:26,440 Speaker 1: never thought I would be a hardcore advocating for something 167 00:08:26,520 --> 00:08:28,680 Speaker 1: like this. I'm not a mental health expert or something. 168 00:08:28,960 --> 00:08:32,520 Speaker 1: I know probably talked about it on Daily Zeitgeist. But 169 00:08:32,760 --> 00:08:36,319 Speaker 1: the Kanye West presidential bid, for example, like the guy's 170 00:08:36,360 --> 00:08:38,959 Speaker 1: actually filing paperwork. You can see it. He's filed for 171 00:08:39,040 --> 00:08:42,760 Speaker 1: Oklahoma and stuff and people are you know, I think 172 00:08:42,800 --> 00:08:48,640 Speaker 1: we easily forget that's uh, even celebrities or whatever, real people. 173 00:08:49,400 --> 00:08:52,720 Speaker 1: I think it's like we have to remember we don't 174 00:08:52,760 --> 00:08:56,200 Speaker 1: know these people, and it's it's very close to shooting 175 00:08:56,240 --> 00:08:59,880 Speaker 1: on someone with mental illness. I get it roast people. 176 00:09:00,080 --> 00:09:03,319 Speaker 1: I'm all a roast everybody at some point, but I 177 00:09:03,840 --> 00:09:07,360 Speaker 1: think that we're not giving due deference to the fact 178 00:09:07,400 --> 00:09:09,840 Speaker 1: that these are real people at the other end of 179 00:09:09,840 --> 00:09:12,520 Speaker 1: the hands. So that's me making up for the falcon 180 00:09:12,600 --> 00:09:15,040 Speaker 1: fucking hat. Yeah, I mean, well, now that's we have. 181 00:09:15,160 --> 00:09:18,439 Speaker 1: I mean it's clear he is uh in a state 182 00:09:18,440 --> 00:09:21,840 Speaker 1: of distress, like he that that clip of him in 183 00:09:21,840 --> 00:09:26,040 Speaker 1: South Carolina whatever that rally or stumps whatever you want 184 00:09:26,040 --> 00:09:30,720 Speaker 1: to call that. It was really um unsettling, like it was. 185 00:09:31,120 --> 00:09:33,000 Speaker 1: It was kind of upsetting to see because he was 186 00:09:33,000 --> 00:09:35,840 Speaker 1: sort of all over the place and you could tell 187 00:09:35,880 --> 00:09:37,760 Speaker 1: based on the way he was talking, was almost as 188 00:09:37,800 --> 00:09:40,880 Speaker 1: if everyone was telling him to not go and he 189 00:09:41,000 --> 00:09:42,840 Speaker 1: was like, no, I know what's best for me. Don't 190 00:09:42,840 --> 00:09:44,280 Speaker 1: tell me what to do, because he's like, if Kim 191 00:09:44,280 --> 00:09:46,559 Speaker 1: divorces me for doing this, I don't care. And it's 192 00:09:46,600 --> 00:09:49,600 Speaker 1: like that almost sounds like she may have said, please, 193 00:09:49,640 --> 00:09:51,720 Speaker 1: don't do this, or you're putting our marriage at risk, 194 00:09:52,080 --> 00:09:54,800 Speaker 1: and he still went out and did it. And that's 195 00:09:54,840 --> 00:09:56,920 Speaker 1: the other sort of toxic scited. The equation is like 196 00:09:56,920 --> 00:09:58,800 Speaker 1: on one hand, people look at and they're like, wow, 197 00:09:58,840 --> 00:10:01,160 Speaker 1: it's the TV because I've been you know, sort of 198 00:10:01,160 --> 00:10:04,440 Speaker 1: inoculated with this idea, this message that like to be 199 00:10:04,480 --> 00:10:07,320 Speaker 1: a celebrity means like the perfect existence where everything is 200 00:10:07,320 --> 00:10:09,920 Speaker 1: manicured and like, you know, stresses of the world don't 201 00:10:09,960 --> 00:10:12,600 Speaker 1: reach you. But then we lose our ability to just 202 00:10:12,720 --> 00:10:16,000 Speaker 1: look at him and say, this man is in he's 203 00:10:16,000 --> 00:10:18,640 Speaker 1: like in pain. And it could also be that there 204 00:10:18,640 --> 00:10:20,920 Speaker 1: are many people around him who are not really taking 205 00:10:20,960 --> 00:10:23,920 Speaker 1: that seriously and just want to keep this thing going, 206 00:10:24,040 --> 00:10:27,479 Speaker 1: like of being around him and saying like enabling him, 207 00:10:27,559 --> 00:10:30,239 Speaker 1: and there's a lot of talk to that he's seriously 208 00:10:30,520 --> 00:10:32,680 Speaker 1: like there he's going to seriously put a lot of 209 00:10:32,679 --> 00:10:36,439 Speaker 1: his businesses in jeopardy too with this um the whole 210 00:10:36,600 --> 00:10:39,959 Speaker 1: campaign and everything with it. What is something from your 211 00:10:40,000 --> 00:10:44,080 Speaker 1: search history that's revealing about who you are? I recently 212 00:10:44,080 --> 00:10:48,840 Speaker 1: looked up Public Access TV. Yeah, a project I'm working on, 213 00:10:49,080 --> 00:10:54,120 Speaker 1: and I forgot the particulars of public access TV. But 214 00:10:54,160 --> 00:10:59,520 Speaker 1: it was so important to not just society, but I 215 00:10:59,520 --> 00:11:02,200 Speaker 1: guess to me too, just like watching weird stuff on 216 00:11:02,240 --> 00:11:05,120 Speaker 1: public access TV was part of how I spent most 217 00:11:05,160 --> 00:11:08,400 Speaker 1: of my free time when I was a kid. Um, 218 00:11:08,440 --> 00:11:13,360 Speaker 1: anybody could be a TV host. Anybody could could sign 219 00:11:13,480 --> 00:11:17,160 Speaker 1: up and have studio time and cameras and be put 220 00:11:17,200 --> 00:11:20,600 Speaker 1: on television. It reminds me somewhat of of being on 221 00:11:20,640 --> 00:11:26,160 Speaker 1: a podcast. Uhbody could do it. Uh no, just but 222 00:11:26,160 --> 00:11:29,280 Speaker 1: but seriously, like I missed public access TV. I miss 223 00:11:30,080 --> 00:11:34,160 Speaker 1: that you could get perspectives from outsiders where people weren't 224 00:11:34,160 --> 00:11:37,800 Speaker 1: necessarily trying to be just famous or follow trends. Because 225 00:11:38,080 --> 00:11:40,920 Speaker 1: public SSTV shows existed in a bubble where there was 226 00:11:40,960 --> 00:11:43,760 Speaker 1: no commentary, there was no feedback. It was just like, 227 00:11:43,800 --> 00:11:45,880 Speaker 1: I'm gonna make this thing because it seems good to me, 228 00:11:46,360 --> 00:11:50,120 Speaker 1: but nobody could like immediately instantly tell you you suck 229 00:11:51,000 --> 00:11:54,080 Speaker 1: with your TV show came out, So a lot of people, 230 00:11:54,440 --> 00:11:57,360 Speaker 1: you know that ended up being successful and doing cool 231 00:11:57,440 --> 00:12:01,240 Speaker 1: things started on public access TV. M Green's TV show 232 00:12:01,360 --> 00:12:03,640 Speaker 1: was on public Access TV. And I don't know how 233 00:12:03,679 --> 00:12:06,280 Speaker 1: people feel about Tom Green, but I mean he's a 234 00:12:06,320 --> 00:12:07,600 Speaker 1: big deal for me when I was a kid, I 235 00:12:07,600 --> 00:12:09,800 Speaker 1: thought he was hilarious. Some of the hardest laughs I 236 00:12:10,080 --> 00:12:13,400 Speaker 1: I had at a very developmental period of my life. Yeah, 237 00:12:13,400 --> 00:12:17,560 Speaker 1: I remember my mother just really realizing something was wrong 238 00:12:17,600 --> 00:12:20,320 Speaker 1: with me because she's like, there's just ship on a 239 00:12:20,400 --> 00:12:23,319 Speaker 1: microphone and that's funny to you. And I'm like, but 240 00:12:23,440 --> 00:12:25,360 Speaker 1: he's just putting it in their face and he's not 241 00:12:25,400 --> 00:12:28,000 Speaker 1: saying you did you think about it? And nothing made 242 00:12:28,000 --> 00:12:30,040 Speaker 1: me a laugh partner than when he sent the cow's 243 00:12:30,080 --> 00:12:34,880 Speaker 1: head to his parents. Uh, the statue that he put 244 00:12:34,920 --> 00:12:37,640 Speaker 1: on his parents lawn of his dead hitting his mom 245 00:12:38,520 --> 00:12:42,360 Speaker 1: probably wouldn't fly these days. But the other thing I remember, 246 00:12:42,400 --> 00:12:44,800 Speaker 1: like in public Access was sort of like the way 247 00:12:44,840 --> 00:12:47,840 Speaker 1: I saw like some like raw like adult content that 248 00:12:47,880 --> 00:12:50,280 Speaker 1: you could not really find anywhere else, and it took 249 00:12:50,320 --> 00:12:52,160 Speaker 1: like you know, older kids would be like, I don't 250 00:12:52,160 --> 00:12:54,520 Speaker 1: know if you watch public access, man, but like it 251 00:12:54,600 --> 00:12:56,840 Speaker 1: goes down late at night and you can see a 252 00:12:56,880 --> 00:12:59,320 Speaker 1: titty if you try hard enough. Yeah, Like it was 253 00:12:59,679 --> 00:13:02,400 Speaker 1: that was like the I remember the Promised Land. At first, 254 00:13:02,400 --> 00:13:04,400 Speaker 1: when I was even engaging with it, it was like 255 00:13:04,520 --> 00:13:09,400 Speaker 1: that's like the dark web of content basically. Yeah, it 256 00:13:09,520 --> 00:13:13,080 Speaker 1: was like YouTube before YouTube for people. I'm sure there's 257 00:13:13,080 --> 00:13:15,440 Speaker 1: a lot of our younger listeners who don't even realize 258 00:13:15,480 --> 00:13:18,400 Speaker 1: like what we're talking about, but for a long time 259 00:13:18,440 --> 00:13:21,880 Speaker 1: they're like Channel three. I think where I where I 260 00:13:21,920 --> 00:13:25,520 Speaker 1: lived was public access and it was just you know, 261 00:13:25,720 --> 00:13:29,640 Speaker 1: video tapes. I remember once I saw uh and watched 262 00:13:29,720 --> 00:13:33,800 Speaker 1: the entirety of a slasher movie made by people with 263 00:13:34,240 --> 00:13:40,040 Speaker 1: absolutely no experience, and uh, it was a blast. I 264 00:13:40,040 --> 00:13:46,000 Speaker 1: would get my stalker content or slasher content anywhere I could, um, 265 00:13:46,160 --> 00:13:48,600 Speaker 1: But the Channel three, because where I grew up, Channel 266 00:13:48,640 --> 00:13:50,200 Speaker 1: three was the channel had to be on to play 267 00:13:50,240 --> 00:13:54,719 Speaker 1: Super Nintendo Yes, yeah, or the VCR or something. It 268 00:13:54,840 --> 00:13:57,280 Speaker 1: was eiven three or four. Yeah. I don't know why. Yeah, 269 00:13:57,280 --> 00:13:59,760 Speaker 1: it changed based on like I guess maybe some some 270 00:13:59,840 --> 00:14:02,600 Speaker 1: are has kept one channel sacred, Like there's no Channel 271 00:14:02,640 --> 00:14:04,800 Speaker 1: three in the l A market, so that was ours 272 00:14:04,840 --> 00:14:08,040 Speaker 1: because four was NBC. But I'm guessing other places three 273 00:14:08,120 --> 00:14:10,560 Speaker 1: was a channel four was anyway. Yeah, No, three was 274 00:14:10,600 --> 00:14:13,160 Speaker 1: definitely my channel for the bc R And that actually 275 00:14:13,200 --> 00:14:17,760 Speaker 1: shows how poorly thought out everything was back in the eighties, 276 00:14:17,800 --> 00:14:21,400 Speaker 1: because you'd think that Channel three would have been like 277 00:14:21,440 --> 00:14:23,920 Speaker 1: a really hot one to get because people would go 278 00:14:24,120 --> 00:14:26,400 Speaker 1: to turn it on that channel to watch a movie 279 00:14:26,400 --> 00:14:29,360 Speaker 1: on the BCR and like be you know, there's just 280 00:14:29,400 --> 00:14:31,960 Speaker 1: a lot of traffic going through that station. But instead 281 00:14:31,960 --> 00:14:36,360 Speaker 1: it was always like public access and just bullshit. Um, 282 00:14:36,800 --> 00:14:42,320 Speaker 1: so bad job by you, Cable. What is what's something 283 00:14:42,400 --> 00:14:47,080 Speaker 1: you think is underrated? Underrated? Well? You know, um again 284 00:14:47,440 --> 00:14:49,760 Speaker 1: trying to to start with the lighter stuff. I'm I 285 00:14:50,120 --> 00:14:55,240 Speaker 1: prefer to to start off with the what's overrated things? Right? Yeah, yeah, 286 00:14:55,280 --> 00:14:58,000 Speaker 1: so you know something that I think is overrated? Maybe 287 00:14:58,080 --> 00:15:01,160 Speaker 1: this is a little controversial, right, but mmmm, I would 288 00:15:01,160 --> 00:15:06,120 Speaker 1: say sharing a bed with your spouse on a nightly basis. 289 00:15:06,160 --> 00:15:09,640 Speaker 1: Like when you say something like that, automatically your thought 290 00:15:09,720 --> 00:15:12,680 Speaker 1: is like, uh, you know, what's what's wrong? What's going 291 00:15:12,760 --> 00:15:19,880 Speaker 1: on there? You guys doing yes? Yes, yes, I say 292 00:15:20,160 --> 00:15:24,840 Speaker 1: I say no no, no, no no. Totally on the contrary, um, 293 00:15:24,880 --> 00:15:28,320 Speaker 1: you know, having your own space, um, and being able 294 00:15:28,400 --> 00:15:31,160 Speaker 1: to say, look, I'm more I love you very much, 295 00:15:31,200 --> 00:15:33,880 Speaker 1: but I also need really need a good night's sleep, 296 00:15:34,480 --> 00:15:36,600 Speaker 1: and you know I'm going to take it. As you know, 297 00:15:36,640 --> 00:15:38,600 Speaker 1: maybe one of you is a night owl and the 298 00:15:38,640 --> 00:15:41,200 Speaker 1: other one is a morning person, or maybe one of 299 00:15:41,200 --> 00:15:42,640 Speaker 1: you wakes up in the middle of the night and 300 00:15:42,680 --> 00:15:44,760 Speaker 1: has some brilliant idea, has to turn on the lights 301 00:15:44,840 --> 00:15:50,840 Speaker 1: and you know, jot it down. Yeah, I keep waiting 302 00:15:50,840 --> 00:15:55,360 Speaker 1: for that to happen. That's only a movie's monica. Yeah, 303 00:15:55,360 --> 00:15:59,440 Speaker 1: it's yet to happen to me. Um but but but yeah, no, 304 00:15:59,520 --> 00:16:01,520 Speaker 1: I think it. It's and this, this is something I 305 00:16:01,560 --> 00:16:04,000 Speaker 1: want to talk to talk about a little hopefully in 306 00:16:04,040 --> 00:16:06,400 Speaker 1: the show. Is these gender roles that that that we 307 00:16:06,560 --> 00:16:10,080 Speaker 1: that we play and how we can um redefine them. 308 00:16:10,200 --> 00:16:13,360 Speaker 1: And you know, it's nice to have on a daily basis, 309 00:16:13,440 --> 00:16:15,120 Speaker 1: your own you know, I'm going to take a step 310 00:16:15,160 --> 00:16:17,240 Speaker 1: further and not just say, you know, you should have 311 00:16:17,280 --> 00:16:19,680 Speaker 1: your own bed, but you should have your own bedroom 312 00:16:19,800 --> 00:16:21,840 Speaker 1: if you know, if you can, if you're not living 313 00:16:21,840 --> 00:16:24,800 Speaker 1: in New York or San Francisco where you can barely 314 00:16:24,840 --> 00:16:28,000 Speaker 1: afford a studio, your own space, right, Yeah, you have 315 00:16:28,040 --> 00:16:30,680 Speaker 1: your own It's you know, it's about having your own space, 316 00:16:30,840 --> 00:16:34,920 Speaker 1: having some independence. Um and uh and and yeah, I 317 00:16:34,920 --> 00:16:37,240 Speaker 1: think that strengthens you as a person, and it strengthens 318 00:16:37,240 --> 00:16:40,800 Speaker 1: you as a in a relationship, and you have a 319 00:16:40,800 --> 00:16:43,440 Speaker 1: better night's sleep. And if that doesn't mean you can't 320 00:16:43,480 --> 00:16:46,080 Speaker 1: like have sleepovers and visit and such, so it makes 321 00:16:46,120 --> 00:16:48,840 Speaker 1: it a lot more fun. Yeah, yeah, that's the bed. 322 00:16:48,920 --> 00:16:53,480 Speaker 1: I totally understand because, uh, you know, my partner, her majesty, 323 00:16:53,600 --> 00:16:56,960 Speaker 1: she likes to have pets in the bed, and I'm like, a, 324 00:16:57,280 --> 00:17:01,600 Speaker 1: I don't like to inconvenience people. So I sleep very 325 00:17:01,760 --> 00:17:04,320 Speaker 1: like in a very thin sliver of the bed because 326 00:17:04,400 --> 00:17:06,600 Speaker 1: I don't want to wake her up. Then I'm like, 327 00:17:06,720 --> 00:17:08,080 Speaker 1: I don't want to. I don't want to wake my 328 00:17:08,160 --> 00:17:09,800 Speaker 1: pets up. I don't know why I'm going there's thought 329 00:17:09,800 --> 00:17:11,240 Speaker 1: you were going to say that you sleep in the 330 00:17:11,320 --> 00:17:16,680 Speaker 1: dog create I'm working on my great training right now. 331 00:17:16,880 --> 00:17:20,199 Speaker 1: But yeah, like so from that point I realized too, 332 00:17:20,240 --> 00:17:22,920 Speaker 1: I'm like, you know what, I'm gonna sleep somewhere else 333 00:17:23,240 --> 00:17:25,000 Speaker 1: because that way, like you can get down and I 334 00:17:25,040 --> 00:17:27,879 Speaker 1: don't have to feel bad about not disturbing anyone and 335 00:17:27,920 --> 00:17:30,000 Speaker 1: get my own night's sleep because I think everyone has 336 00:17:30,040 --> 00:17:34,480 Speaker 1: different sleep styles. I sleep next to a sprawler and 337 00:17:34,640 --> 00:17:37,520 Speaker 1: I'm very much like the it's just so weird, Like 338 00:17:37,520 --> 00:17:40,120 Speaker 1: I don't advocate from my my own sleep when I'm 339 00:17:40,119 --> 00:17:42,520 Speaker 1: in bed because I'm like, but the other person sleep, 340 00:17:42,960 --> 00:17:45,439 Speaker 1: and then you gotta you gotta take care of yourself, 341 00:17:45,480 --> 00:17:48,120 Speaker 1: even that means getting awake night bed for a little bit. 342 00:17:48,640 --> 00:17:51,880 Speaker 1: A good night's sleep is crucial. It'll make everybody happier. 343 00:17:52,280 --> 00:17:54,119 Speaker 1: I say, give it, give it a try, Give it 344 00:17:54,160 --> 00:17:58,640 Speaker 1: a try. My two year old was up at two 345 00:17:58,680 --> 00:18:01,320 Speaker 1: in the morning until four in the morning this morning, 346 00:18:01,359 --> 00:18:03,119 Speaker 1: so I did not get a good night's sleep, and 347 00:18:03,160 --> 00:18:07,000 Speaker 1: I have witnessed my brain malfunctioning, like I'll see the 348 00:18:07,080 --> 00:18:10,880 Speaker 1: wrong word coming out of my mouth as I'm as 349 00:18:10,920 --> 00:18:16,760 Speaker 1: I'm speaking. So I yeah, just a fair word of 350 00:18:16,840 --> 00:18:21,840 Speaker 1: warning there um that I'm about to show you the 351 00:18:21,960 --> 00:18:28,320 Speaker 1: value of a good night's sleep in the negative. Playing 352 00:18:28,400 --> 00:18:32,400 Speaker 1: musical beds is also also an option, especially when you've 353 00:18:32,400 --> 00:18:35,000 Speaker 1: got kids. All right, guys, let's take a quick break 354 00:18:35,200 --> 00:18:49,480 Speaker 1: and we'll be right back. And we are back eaves. 355 00:18:49,520 --> 00:18:51,720 Speaker 1: What is a myth? What is something that people think 356 00:18:51,800 --> 00:18:53,760 Speaker 1: is true you know, to be false or vice versa. 357 00:18:54,640 --> 00:18:57,680 Speaker 1: So I don't know if this is an overall myth, 358 00:18:57,800 --> 00:19:00,000 Speaker 1: but it's something that it's a sentiment that I've been 359 00:19:00,000 --> 00:19:03,000 Speaker 1: seeing a lot lately on the Internet that's been floating around, 360 00:19:03,640 --> 00:19:08,080 Speaker 1: and that's that black women shouldn't be told or don't 361 00:19:08,080 --> 00:19:12,119 Speaker 1: need to be told that we're strong um, And I 362 00:19:12,160 --> 00:19:15,920 Speaker 1: definitely understand the sentiment because it's coming from a place 363 00:19:15,920 --> 00:19:19,480 Speaker 1: where so often our oppressors specifically are the ones who 364 00:19:19,520 --> 00:19:23,280 Speaker 1: are telling us that, like, we don't experience pain, and 365 00:19:23,320 --> 00:19:25,840 Speaker 1: that's in a very established way, you know, when that 366 00:19:25,880 --> 00:19:30,520 Speaker 1: comes to UM, the medical industry, UM just always saying that, 367 00:19:30,880 --> 00:19:33,720 Speaker 1: and I know so many of us have had personal experiences, 368 00:19:33,720 --> 00:19:37,119 Speaker 1: but saying that are we don't experience pain, that we're strong, 369 00:19:37,160 --> 00:19:39,199 Speaker 1: that we're tough, that we can make it through this, 370 00:19:39,280 --> 00:19:44,159 Speaker 1: that we can make it through that there's the superhuman stereotype, uh, 371 00:19:44,200 --> 00:19:45,840 Speaker 1: that we can do all of that. And I think 372 00:19:45,880 --> 00:19:49,399 Speaker 1: that yes, in that manner, like our oppressors don't need 373 00:19:49,440 --> 00:19:51,840 Speaker 1: to tell us that we're strong because if we take 374 00:19:51,880 --> 00:19:55,720 Speaker 1: it contextually, we know their intention behind that, and we 375 00:19:55,800 --> 00:19:58,680 Speaker 1: know that so long, what public health has meant for 376 00:19:58,800 --> 00:20:02,200 Speaker 1: black women and black people in general is death. Like 377 00:20:02,359 --> 00:20:05,800 Speaker 1: public health equal death when it came to black people. 378 00:20:05,880 --> 00:20:09,920 Speaker 1: So UM, I think, yes, all of that is true. 379 00:20:09,960 --> 00:20:12,160 Speaker 1: And I just wanted to preface it with that because 380 00:20:12,560 --> 00:20:15,000 Speaker 1: obviously that's the case. And I also can't speak for 381 00:20:15,040 --> 00:20:18,199 Speaker 1: anyone specific black woman wanting or not wanting to be 382 00:20:18,240 --> 00:20:20,360 Speaker 1: told that she's strong because that's her preference and it's 383 00:20:20,440 --> 00:20:22,800 Speaker 1: up to her, and it's it's that's one how that 384 00:20:22,840 --> 00:20:25,680 Speaker 1: makes her feel. But I can't speak for myself and 385 00:20:25,760 --> 00:20:28,439 Speaker 1: that I want. I want black women to tell me 386 00:20:28,440 --> 00:20:30,520 Speaker 1: that I'm strong because I feel like in a way 387 00:20:31,000 --> 00:20:35,480 Speaker 1: telling telling black women that are saying that we shouldn't 388 00:20:35,480 --> 00:20:38,280 Speaker 1: be told that we're strong is kind of affirming the 389 00:20:38,320 --> 00:20:42,640 Speaker 1: idea that we are by by nature strong, like it's 390 00:20:42,680 --> 00:20:47,000 Speaker 1: affirming the it's affirming the oppressor's language and saying that 391 00:20:47,040 --> 00:20:50,600 Speaker 1: we should assume we're strong. But I often need affirmation 392 00:20:51,040 --> 00:20:53,679 Speaker 1: and confirmation from other Black women to tell me that 393 00:20:53,720 --> 00:20:56,320 Speaker 1: I am strong because there's some sometimes I don't feel 394 00:20:56,320 --> 00:20:59,440 Speaker 1: like I am and sometimes I need somebody to tell 395 00:20:59,480 --> 00:21:02,440 Speaker 1: me that I um And that feels really good when 396 00:21:02,440 --> 00:21:04,840 Speaker 1: it's coming from other black women and from other black 397 00:21:04,880 --> 00:21:08,080 Speaker 1: women who I know that I love specifically and and 398 00:21:08,720 --> 00:21:13,760 Speaker 1: close to specifically. And I think that there there are 399 00:21:13,800 --> 00:21:16,680 Speaker 1: like caveats to the statement like black women shouldn't be 400 00:21:16,720 --> 00:21:19,960 Speaker 1: told they're strong. Well, yes, and it's like a both 401 00:21:20,000 --> 00:21:23,440 Speaker 1: and type of situation. They're some's just there. I think 402 00:21:23,480 --> 00:21:25,879 Speaker 1: everything is really like loaded like that too. I've had 403 00:21:25,920 --> 00:21:31,520 Speaker 1: discussions with some like professors who you know are like 404 00:21:31,560 --> 00:21:33,959 Speaker 1: so in sociology and a lot of black history, and 405 00:21:34,000 --> 00:21:35,879 Speaker 1: I've even heard from them just sort of like the 406 00:21:35,960 --> 00:21:39,280 Speaker 1: nature of the kneeling and how that is even viewed 407 00:21:39,359 --> 00:21:42,160 Speaker 1: for like from a historical context problematic to see that 408 00:21:42,200 --> 00:21:44,840 Speaker 1: as like kneeling in front of the oppressor as a 409 00:21:44,880 --> 00:21:48,359 Speaker 1: form of protest has all of this historical context behind 410 00:21:48,359 --> 00:21:52,359 Speaker 1: it of the subordinate servant, uh and blowering themselves to 411 00:21:52,400 --> 00:21:55,840 Speaker 1: the master and things like that. So at every turn, right, 412 00:21:55,880 --> 00:21:59,800 Speaker 1: there's all everything. There's every there's so many dimensions to 413 00:21:59,840 --> 00:22:03,000 Speaker 1: the ways that we can either protest or find strength 414 00:22:03,200 --> 00:22:07,320 Speaker 1: in our existence, but there's always this other historical backdrop 415 00:22:07,359 --> 00:22:10,000 Speaker 1: to it that I think everyone we always have to 416 00:22:10,000 --> 00:22:12,199 Speaker 1: be conscious of because there's all these roots, like to 417 00:22:12,240 --> 00:22:15,000 Speaker 1: the point of you know, this fallacy or this like 418 00:22:16,040 --> 00:22:19,400 Speaker 1: medically perpetuated myth that like yeah, black women we prescribe 419 00:22:19,480 --> 00:22:23,240 Speaker 1: less painkillers. Um, that that is all going back to 420 00:22:23,440 --> 00:22:26,639 Speaker 1: this idea of you know, uh, the slavery and the 421 00:22:26,720 --> 00:22:30,120 Speaker 1: idea that these black bodies are used to create revenue 422 00:22:30,480 --> 00:22:35,040 Speaker 1: and are efficient at doing that, and that continues. Yeah, 423 00:22:35,400 --> 00:22:38,119 Speaker 1: let's just check in with the king. Let's check in 424 00:22:38,119 --> 00:22:42,359 Speaker 1: with the b K real quick. Um, there was a 425 00:22:42,440 --> 00:22:46,800 Speaker 1: video that came out with Mason whatever his the the 426 00:22:46,840 --> 00:22:49,520 Speaker 1: Walmart yodeling boy. I believe that was him because there's 427 00:22:49,560 --> 00:22:55,879 Speaker 1: yodeling in this video, y and so he's out here yodling. 428 00:22:55,920 --> 00:22:58,879 Speaker 1: But we were so young, Yeah, I know, right, he's 429 00:22:58,920 --> 00:23:02,640 Speaker 1: out here, um yodeling his little butt off to like 430 00:23:02,720 --> 00:23:06,200 Speaker 1: a fun commercial talking about how you know, methane is 431 00:23:06,240 --> 00:23:10,400 Speaker 1: a huge, huge problem in terms of like our agriculture 432 00:23:10,800 --> 00:23:14,080 Speaker 1: because cows are releasing a lot of methane, a greenhouse gas. 433 00:23:14,119 --> 00:23:15,960 Speaker 1: And the gist of it is sort of like, well, 434 00:23:16,000 --> 00:23:20,160 Speaker 1: Burger King knows methane bad, So what we're gonna do 435 00:23:20,359 --> 00:23:24,359 Speaker 1: is make a new burger that will solve the methane problem. 436 00:23:24,440 --> 00:23:26,359 Speaker 1: And you're gonna you're gonna be able to eat so 437 00:23:26,400 --> 00:23:30,200 Speaker 1: many burgers you you don't even know what to do. So, yes, 438 00:23:30,520 --> 00:23:34,359 Speaker 1: methane is a huge issue. Uh. And the logic of 439 00:23:34,400 --> 00:23:36,600 Speaker 1: this Burger King campaign is that they are going to 440 00:23:36,800 --> 00:23:41,440 Speaker 1: offer low methane beef patties, meaning that by adding lemon 441 00:23:41,520 --> 00:23:44,800 Speaker 1: grass to the diets of like the cows, that they 442 00:23:44,800 --> 00:23:48,919 Speaker 1: can reduce the methane emissions by about one third. I 443 00:23:48,960 --> 00:23:53,120 Speaker 1: think on paper that sounds pretty interesting. I'm like, oh, 444 00:23:53,160 --> 00:23:55,120 Speaker 1: that's all I have to do. You can cut down 445 00:23:55,160 --> 00:23:58,840 Speaker 1: methane missions by one third by just giving people are 446 00:23:59,000 --> 00:24:03,840 Speaker 1: these cows a little bits? Yeah? Go go on, Mason, 447 00:24:03,960 --> 00:24:07,520 Speaker 1: tell me more. Um. Now, there's a couple of things 448 00:24:07,520 --> 00:24:10,240 Speaker 1: about this. First of all, these beef patties are only 449 00:24:10,280 --> 00:24:13,159 Speaker 1: for a limited time and like, are only available in 450 00:24:13,200 --> 00:24:15,439 Speaker 1: a handful of cities, So if you don't live in Miami, 451 00:24:15,480 --> 00:24:18,080 Speaker 1: New York, Austin, Portland, or l A, you're not gonna 452 00:24:18,119 --> 00:24:21,200 Speaker 1: see this ship. Even though this like campaign was meant 453 00:24:21,200 --> 00:24:23,800 Speaker 1: to be like burger King has solved the greenhouse gas 454 00:24:23,840 --> 00:24:26,720 Speaker 1: problems in our like with our red meat consumption. The 455 00:24:26,760 --> 00:24:29,880 Speaker 1: other thing was that the fart stuff, right, this whole 456 00:24:29,920 --> 00:24:33,600 Speaker 1: idea that you know, the farts are causing the methane, 457 00:24:33,760 --> 00:24:37,719 Speaker 1: that's actually not true. Many agricultural scientists and people who 458 00:24:37,760 --> 00:24:40,600 Speaker 1: are like researching this, like this is so fucking lame, 459 00:24:40,640 --> 00:24:43,959 Speaker 1: this commercial because six of the methane actually comes from 460 00:24:43,960 --> 00:24:47,640 Speaker 1: their burbs uh, and not from their their manure comes 461 00:24:47,640 --> 00:24:52,600 Speaker 1: from manure uh. And this one scientist was saying, it's 462 00:24:52,640 --> 00:24:56,159 Speaker 1: not the cow farts. Nearly all ter methane from cattle 463 00:24:56,560 --> 00:25:00,280 Speaker 1: is from belching suggesting otherwise turns this serious climate topic 464 00:25:00,359 --> 00:25:04,719 Speaker 1: into a joke. And it's it's funny how the commercials 465 00:25:04,760 --> 00:25:07,479 Speaker 1: really like they really want to talk about farts. Like 466 00:25:07,600 --> 00:25:09,840 Speaker 1: the commercial has like a that that kid going into 467 00:25:09,880 --> 00:25:12,399 Speaker 1: like a cow ass, Like it's like they are really 468 00:25:12,520 --> 00:25:15,119 Speaker 1: hyper focused on the farts. They want to make sure 469 00:25:15,200 --> 00:25:17,280 Speaker 1: that you got the like the farts are part of 470 00:25:17,280 --> 00:25:20,800 Speaker 1: the conversation. They definitely as someone's like when you at 471 00:25:20,800 --> 00:25:22,680 Speaker 1: the context that it's not even really about the farts, 472 00:25:22,680 --> 00:25:25,400 Speaker 1: the farts not even the big problem, that becomes even 473 00:25:25,400 --> 00:25:28,800 Speaker 1: more weird. It's even more weird of a choice. I'm 474 00:25:28,920 --> 00:25:32,200 Speaker 1: absolutely I mean this this is just like a miss 475 00:25:32,240 --> 00:25:35,480 Speaker 1: on so many levels because it completely misunderstands what it 476 00:25:35,520 --> 00:25:39,160 Speaker 1: doesn't know what it's talking about. It's using this like 477 00:25:40,040 --> 00:25:42,600 Speaker 1: you know, kind of like irony poisoned aesthetic that was 478 00:25:42,640 --> 00:25:49,159 Speaker 1: really popular five years ago to give this misinformation to everybody. 479 00:25:49,280 --> 00:25:51,640 Speaker 1: And it's not funny. I think that they think it's 480 00:25:51,640 --> 00:25:54,040 Speaker 1: funny and it's not. I just, oh god, I mean 481 00:25:54,119 --> 00:25:56,720 Speaker 1: these this trend of I feel like we've been talking 482 00:25:56,720 --> 00:25:59,600 Speaker 1: about this ony guys for years at this point of 483 00:25:59,640 --> 00:26:05,040 Speaker 1: like cool brand, It's like it's we the curtain has 484 00:26:05,080 --> 00:26:08,760 Speaker 1: been pulled aside, like it's not funny, it's not cool, 485 00:26:08,840 --> 00:26:11,399 Speaker 1: And in this case, it's just like not even accurate. 486 00:26:12,840 --> 00:26:16,199 Speaker 1: The science, the scientific part of it is really fucking 487 00:26:16,280 --> 00:26:19,360 Speaker 1: just so lame. So you know, they're claiming they're like, yeah, 488 00:26:19,480 --> 00:26:22,840 Speaker 1: hundreds of fucking just a hundred grams of dried lemongrass 489 00:26:23,359 --> 00:26:27,440 Speaker 1: is reducing it by the methane emissions. So a lot 490 00:26:27,440 --> 00:26:29,119 Speaker 1: of people who are looking at this like, Okay, can 491 00:26:29,160 --> 00:26:32,600 Speaker 1: I see your scientific receipts please? And here's where it 492 00:26:32,640 --> 00:26:37,320 Speaker 1: becomes a fucking issue. The study that they're sighting hasn't 493 00:26:37,359 --> 00:26:40,359 Speaker 1: even gone through any kind of peer review, which I 494 00:26:40,400 --> 00:26:43,280 Speaker 1: think is important because that's usually when your peers go, 495 00:26:43,440 --> 00:26:46,440 Speaker 1: what the fund is this? Bro? This is not no? 496 00:26:47,520 --> 00:26:53,200 Speaker 1: Yeah yo, the not this bro, get go back um, 497 00:26:53,560 --> 00:26:55,520 Speaker 1: which you know is very important with any sort of 498 00:26:55,560 --> 00:26:58,520 Speaker 1: scientific study. So all the claims are relying on like 499 00:26:58,560 --> 00:27:01,000 Speaker 1: it was like I think a cooperative of study with 500 00:27:01,320 --> 00:27:03,760 Speaker 1: like a lab in Mexico and one in the US 501 00:27:03,800 --> 00:27:06,160 Speaker 1: that they're saying, oh, we're going off to the results 502 00:27:06,160 --> 00:27:09,520 Speaker 1: in the Mexican lab because the US part of this 503 00:27:09,600 --> 00:27:12,040 Speaker 1: study when they concluded there is they said, quote the 504 00:27:12,119 --> 00:27:15,600 Speaker 1: research was inconclusive and so far showed no methane reduction 505 00:27:15,600 --> 00:27:18,120 Speaker 1: from lemon grass end quote. So like, okay, shut the funk, Okay, 506 00:27:18,119 --> 00:27:21,160 Speaker 1: don't talk about that part. Uh that, let's us get 507 00:27:21,160 --> 00:27:24,199 Speaker 1: away with this just like ridiculous claim. And you know, 508 00:27:24,240 --> 00:27:26,720 Speaker 1: I think while that's interesting to talk about methane, I 509 00:27:26,720 --> 00:27:30,119 Speaker 1: mean like there's like you know, there's like restorative agriculture 510 00:27:30,240 --> 00:27:33,120 Speaker 1: that's used for raising cattle. That's like an actual way 511 00:27:33,160 --> 00:27:36,640 Speaker 1: to like look at how destructive that kind of uh, 512 00:27:36,960 --> 00:27:39,840 Speaker 1: this certain aspect of agriculture can be. But you know, 513 00:27:39,880 --> 00:27:41,840 Speaker 1: they make it a fart joke with the yodeling kid 514 00:27:41,960 --> 00:27:46,160 Speaker 1: and then it's just like kind of rich coming from 515 00:27:46,280 --> 00:27:49,119 Speaker 1: burger King too. I've just like, are you really going 516 00:27:49,200 --> 00:27:52,640 Speaker 1: to make this like standing on a pedestal style like 517 00:27:52,760 --> 00:27:55,080 Speaker 1: we get it kind of joke when it's like no, 518 00:27:55,240 --> 00:28:00,479 Speaker 1: you're burger king like you've done fun. No, that's like 519 00:28:00,520 --> 00:28:03,040 Speaker 1: their m oh do you guys remember back in nineteen 520 00:28:03,119 --> 00:28:07,200 Speaker 1: when they had they released their real meals, so it 521 00:28:07,240 --> 00:28:08,840 Speaker 1: would be like instead of a happy meal, it's like 522 00:28:09,000 --> 00:28:12,960 Speaker 1: you get kissed meal or like yes meal. Like I 523 00:28:12,960 --> 00:28:18,359 Speaker 1: think that yeah, Like I think that they often like 524 00:28:18,480 --> 00:28:20,399 Speaker 1: swing for the fences and I guess I kind of 525 00:28:20,480 --> 00:28:22,800 Speaker 1: I kind of like respect that, but often it's like, 526 00:28:24,520 --> 00:28:27,239 Speaker 1: you know where this goes based on this logic. So 527 00:28:27,280 --> 00:28:31,840 Speaker 1: if we had mental health last time, big swing on climate, 528 00:28:32,359 --> 00:28:34,800 Speaker 1: what's what's been one of the bigger stories this year 529 00:28:34,880 --> 00:28:40,280 Speaker 1: in society that Burger King could wade the not racial justice, 530 00:28:40,480 --> 00:28:44,640 Speaker 1: I mean they might wade in the wall or racial justice. 531 00:28:44,680 --> 00:28:49,200 Speaker 1: Thank you Burger King. I know, like the like the 532 00:28:49,360 --> 00:28:53,200 Speaker 1: like um yeah, like the like they're gonna have like 533 00:28:53,480 --> 00:28:56,560 Speaker 1: burgers named after slain civil rights icons or something like. 534 00:28:56,760 --> 00:28:58,720 Speaker 1: You don't have like, it doesn't always have to be 535 00:28:59,120 --> 00:29:01,400 Speaker 1: this cringe to be part of the conversation, a part 536 00:29:01,400 --> 00:29:03,320 Speaker 1: of the solution. It doesn't always have to be some 537 00:29:03,360 --> 00:29:06,560 Speaker 1: sort of like point top cringeing to your part campaign, 538 00:29:06,640 --> 00:29:09,840 Speaker 1: Stop trying to be part of the fucking conversation just 539 00:29:10,320 --> 00:29:13,200 Speaker 1: to be part of the fucking solution. I don't give 540 00:29:13,320 --> 00:29:16,280 Speaker 1: like this doesn't you wasted millions of dollars for what 541 00:29:16,800 --> 00:29:19,120 Speaker 1: to just like get I don't know what that does 542 00:29:19,160 --> 00:29:21,200 Speaker 1: for your sales and in their minds like it's actually great, 543 00:29:21,240 --> 00:29:24,440 Speaker 1: like sort of like sort of earth restorative justice kind 544 00:29:24,480 --> 00:29:26,200 Speaker 1: of thing we can do with this. Why don't you 545 00:29:26,240 --> 00:29:30,200 Speaker 1: just commit to becoming carbon neutral as quickly as possible, 546 00:29:30,640 --> 00:29:33,840 Speaker 1: because it's not I mean, but again the cynicism of 547 00:29:33,880 --> 00:29:38,000 Speaker 1: like all this marketing and yeah, but it only ever 548 00:29:38,160 --> 00:29:41,000 Speaker 1: results in negative blowback. But I guess that that just 549 00:29:41,120 --> 00:29:42,960 Speaker 1: end up being a second wave of you know, a 550 00:29:43,000 --> 00:29:44,880 Speaker 1: second press cycle for them is the fact that they 551 00:29:44,880 --> 00:29:49,520 Speaker 1: did it and the fact that everyone hates it. Yeah, yeah, yeah, 552 00:29:50,000 --> 00:29:51,920 Speaker 1: And I guess it's just like more greenwashing. This is 553 00:29:51,960 --> 00:29:54,880 Speaker 1: like what companies do they? There are there are things 554 00:29:54,960 --> 00:29:58,760 Speaker 1: like corporations have so much they can do to combat 555 00:29:58,960 --> 00:30:02,400 Speaker 1: climate injustice, but it's so much easier to be like, oh, 556 00:30:02,560 --> 00:30:05,320 Speaker 1: we have a little campaign with the yodeling kid about 557 00:30:05,360 --> 00:30:09,600 Speaker 1: cow farts. Boom boom done. Hi, we're chlorox. We may 558 00:30:09,640 --> 00:30:11,760 Speaker 1: have destroyed the earth with our chemicals. Can we give 559 00:30:11,800 --> 00:30:14,920 Speaker 1: the Sierra Club a ridiculous donation so we can put 560 00:30:14,960 --> 00:30:16,920 Speaker 1: their logo on our new green products and then you 561 00:30:16,920 --> 00:30:19,080 Speaker 1: can completely forget what this company has been about since 562 00:30:19,120 --> 00:30:22,680 Speaker 1: time in memorial like that kind of cynical it's do 563 00:30:22,720 --> 00:30:25,880 Speaker 1: you remember like when BP was coming with their greenwashing ads, 564 00:30:25,880 --> 00:30:28,480 Speaker 1: like right after the oil spill in the Gulf, I 565 00:30:28,560 --> 00:30:31,920 Speaker 1: was like, wow, we're really acting like you guys are 566 00:30:31,960 --> 00:30:35,760 Speaker 1: part okay, but that's I think for the most part though, 567 00:30:36,240 --> 00:30:38,520 Speaker 1: people look at what's going on the TV and take 568 00:30:38,600 --> 00:30:40,760 Speaker 1: that like a lot of this like marketings be like, okay, 569 00:30:40,760 --> 00:30:42,800 Speaker 1: well that's the reality. I guess they're thinking about it, 570 00:30:42,880 --> 00:30:45,720 Speaker 1: so I don't have to and I can just can 571 00:30:45,760 --> 00:30:49,920 Speaker 1: just eat my Mason yodelburgers um, you know, and just 572 00:30:50,000 --> 00:30:52,560 Speaker 1: a pivot And it's not a it's not a real 573 00:30:52,640 --> 00:30:55,720 Speaker 1: bad tangent. But I thought Mason's career would be a 574 00:30:55,760 --> 00:30:58,880 Speaker 1: little bit further along than it is right now because 575 00:30:58,920 --> 00:31:01,600 Speaker 1: he came. He was you know. I think that's the thing. 576 00:31:01,600 --> 00:31:03,880 Speaker 1: When you go viral real quick on Twitter, it's it's 577 00:31:03,920 --> 00:31:06,320 Speaker 1: hard to take that, you know, to the next level. 578 00:31:06,400 --> 00:31:11,400 Speaker 1: But worry about me. I hope Mason has good parents. 579 00:31:12,000 --> 00:31:15,720 Speaker 1: I don't. And every time I see Mason, there's just 580 00:31:15,840 --> 00:31:18,880 Speaker 1: kind of an I start to feel a little concerned 581 00:31:18,920 --> 00:31:22,760 Speaker 1: of like, is he okay? Are people looking out for him? 582 00:31:22,800 --> 00:31:26,520 Speaker 1: Making me do a Burger King commercial? He's like, he's 583 00:31:26,720 --> 00:31:30,400 Speaker 1: a little this is the thing he's doing that. I 584 00:31:30,440 --> 00:31:36,080 Speaker 1: was watching that show Biz Kids documentary. He's entering that 585 00:31:36,160 --> 00:31:39,520 Speaker 1: age where like he's he's losing his baby face and 586 00:31:39,640 --> 00:31:43,240 Speaker 1: is now becoming like a pubescent child. And that's when 587 00:31:43,240 --> 00:31:45,560 Speaker 1: like the industry goes, oh, look bro, like calls back 588 00:31:45,600 --> 00:31:48,440 Speaker 1: when you grow in your face. Kid. You see what 589 00:31:48,480 --> 00:31:51,720 Speaker 1: happened with Frankie Munez from Malcolm in the Middle, Yeah, 590 00:31:52,520 --> 00:31:54,600 Speaker 1: pit you out. I hate to see it, but I 591 00:31:54,640 --> 00:31:57,600 Speaker 1: hope we'll see what happens to Mason Ramsey. You know, 592 00:31:58,680 --> 00:32:01,880 Speaker 1: it's how far he's come, how far he has come? 593 00:32:03,440 --> 00:32:07,320 Speaker 1: Final bridget what's a myth? What's something people think is true? 594 00:32:07,320 --> 00:32:10,520 Speaker 1: And you're like, that's false, that's that's not's not true. 595 00:32:12,720 --> 00:32:18,200 Speaker 1: I'm gonna keep with my um celebrity sort of theme here, 596 00:32:18,760 --> 00:32:22,880 Speaker 1: And something that people think is true is that Monique 597 00:32:23,040 --> 00:32:26,920 Speaker 1: the comedian is that she's like a complainer that she like, 598 00:32:27,400 --> 00:32:30,120 Speaker 1: you know, it's difficult, blah blah blah. But just today 599 00:32:30,360 --> 00:32:33,080 Speaker 1: she got a major win on her gender and racial 600 00:32:33,080 --> 00:32:36,600 Speaker 1: discrimination lawsuit. So I feel like the common idea about 601 00:32:36,680 --> 00:32:39,400 Speaker 1: the comedian Monique is that she I don't know, folks 602 00:32:39,400 --> 00:32:41,880 Speaker 1: remember this. This is something that like I remember quite well. 603 00:32:42,040 --> 00:32:44,959 Speaker 1: She spoke out when she got a Netflix special basically 604 00:32:45,000 --> 00:32:47,040 Speaker 1: that like she was offered a lot less for her 605 00:32:47,040 --> 00:32:48,960 Speaker 1: Netflix special and she alleged that it has to do 606 00:32:48,960 --> 00:32:51,640 Speaker 1: with race and gender, and people were like, actually, she's 607 00:32:51,640 --> 00:32:55,480 Speaker 1: hard to work with, Actually, like she's unprofessional, And I 608 00:32:55,480 --> 00:32:58,800 Speaker 1: guess today a court that says otherwise, a court agreed 609 00:32:58,880 --> 00:33:01,920 Speaker 1: that she has that her case has merit. So that 610 00:33:02,040 --> 00:33:04,040 Speaker 1: is a myth that she is like just a difficult 611 00:33:04,040 --> 00:33:06,200 Speaker 1: black woman. Actually it sounds like she's got a point. Well, 612 00:33:06,240 --> 00:33:08,560 Speaker 1: I think that shows you, how, you know, in Trench, 613 00:33:08,600 --> 00:33:12,880 Speaker 1: these stereotypes are that very just reflexively accompanied like Netflix 614 00:33:12,960 --> 00:33:16,000 Speaker 1: or they're you know, surrogates allies, and the business can go, well, 615 00:33:16,040 --> 00:33:18,840 Speaker 1: she's actually difficult to work with, and people go, oh, okay, right, 616 00:33:19,000 --> 00:33:22,080 Speaker 1: angry black woman. Who's who's probably making it really difficult 617 00:33:22,120 --> 00:33:23,920 Speaker 1: for people just they're just trying to do their jobs. 618 00:33:23,960 --> 00:33:26,200 Speaker 1: And if she was so angry, maybe we could come 619 00:33:26,240 --> 00:33:29,560 Speaker 1: to some kind of consensus. Yeah, it's just so fucking lazy. 620 00:33:29,640 --> 00:33:33,360 Speaker 1: So I'm glad that she's wait so wait, that there 621 00:33:33,440 --> 00:33:35,719 Speaker 1: was a judgment made. I didn't I didn't realize there 622 00:33:35,760 --> 00:33:37,880 Speaker 1: was a movement on her legal case or that, or 623 00:33:37,920 --> 00:33:40,440 Speaker 1: did they try and get it dismissed or something. So 624 00:33:40,560 --> 00:33:44,080 Speaker 1: this was just yesterday. This is a Deadline article from 625 00:33:44,080 --> 00:33:48,040 Speaker 1: twenty hours ago. Netflix loses move to ax Monique sex 626 00:33:48,040 --> 00:33:51,480 Speaker 1: and racial discrimination suit over comedy special. So essentially it's 627 00:33:51,480 --> 00:33:54,400 Speaker 1: not it's it's it's an incremental win for her because 628 00:33:54,480 --> 00:33:56,240 Speaker 1: Netflix was trying to have it thrown out and a 629 00:33:56,320 --> 00:33:58,560 Speaker 1: judge said, no, there's there's there's a case here to 630 00:33:58,560 --> 00:34:00,680 Speaker 1: be heard. Yeah, they just all she did was show 631 00:34:00,680 --> 00:34:02,760 Speaker 1: me what Amy Schumer got paid and what she got paid, 632 00:34:02,760 --> 00:34:05,600 Speaker 1: and I'm like, okay, sums up here. Even there, even 633 00:34:05,680 --> 00:34:10,080 Speaker 1: if you wanted to, the comparisons really hard, which is 634 00:34:10,080 --> 00:34:13,280 Speaker 1: something that like people getting specials like that should be doing. 635 00:34:13,520 --> 00:34:16,720 Speaker 1: Is like I mean you have like if male comics 636 00:34:16,760 --> 00:34:19,919 Speaker 1: who are and white comics who are getting specials would 637 00:34:19,960 --> 00:34:22,360 Speaker 1: just be more forthcoming about like here's how much I 638 00:34:22,360 --> 00:34:25,120 Speaker 1: would pay. You don't lose anything by doing that, and 639 00:34:25,200 --> 00:34:28,680 Speaker 1: you're helping. Like it's just like how much did fucking 640 00:34:28,719 --> 00:34:31,240 Speaker 1: Chris d'eliah get paid for his piece of ship special? 641 00:34:32,360 --> 00:34:36,120 Speaker 1: Like almost certainly more, but he's a piece of ship 642 00:34:36,239 --> 00:34:41,160 Speaker 1: and then there's no financial transparency in that community. It's 643 00:34:41,239 --> 00:34:45,080 Speaker 1: just like that the stigma around that needs to stop 644 00:34:45,200 --> 00:34:47,480 Speaker 1: because yeah, like yeah, like I feel like in a 645 00:34:47,520 --> 00:34:49,920 Speaker 1: in a corporate zoom call, like your salary should be 646 00:34:49,960 --> 00:34:53,920 Speaker 1: like in your next to your name. Yeah, it's immediately accessible. 647 00:34:54,000 --> 00:34:57,080 Speaker 1: You're like, interesting, Okay, that's your title. Yeah, wouldn't I 648 00:34:57,120 --> 00:35:00,520 Speaker 1: thought you were worth that much just and I also 649 00:35:00,560 --> 00:35:03,520 Speaker 1: think that like the idea that you know, if you 650 00:35:04,440 --> 00:35:06,200 Speaker 1: and I and Jamie, I would actually be raicurious to 651 00:35:06,200 --> 00:35:08,200 Speaker 1: here your thoughts as a comedian, as someone who was, 652 00:35:08,239 --> 00:35:11,399 Speaker 1: like you know, in this in the industry as well, 653 00:35:11,480 --> 00:35:14,760 Speaker 1: Like I feel like there is a stigma, as you said, 654 00:35:14,800 --> 00:35:19,200 Speaker 1: around getting offered something and then questioning or pushing back. 655 00:35:19,239 --> 00:35:21,839 Speaker 1: I feel like as marginalized people, as women, as people 656 00:35:21,880 --> 00:35:24,439 Speaker 1: of color. I feel like the the implication is that like, 657 00:35:24,719 --> 00:35:26,279 Speaker 1: if Netflix is going to offer you a special, you 658 00:35:26,320 --> 00:35:28,200 Speaker 1: should have just taken it and shut up, but we 659 00:35:28,239 --> 00:35:31,920 Speaker 1: should like that doesn't do anything to protect you as 660 00:35:31,920 --> 00:35:33,759 Speaker 1: a creator, and it certainly doesn't do anything for the 661 00:35:33,800 --> 00:35:36,520 Speaker 1: creators who are coming, you know, coming after you, who 662 00:35:36,560 --> 00:35:38,560 Speaker 1: might not have as big of a profile as Monique. 663 00:35:38,560 --> 00:35:41,320 Speaker 1: And so I think it was I think it's good 664 00:35:41,360 --> 00:35:43,880 Speaker 1: that she in public is saying, like it's okay for 665 00:35:43,960 --> 00:35:47,839 Speaker 1: me to ask questions about how I am being compensated. 666 00:35:47,960 --> 00:35:50,720 Speaker 1: Another good example is like the woman the show runner 667 00:35:50,760 --> 00:35:53,000 Speaker 1: behind the show the HBO show I may destroy you. 668 00:35:53,080 --> 00:35:56,080 Speaker 1: It was it was really there was a great piece. Yeah, 669 00:35:56,120 --> 00:35:58,640 Speaker 1: who was so phenomenally talented, but like there was a 670 00:35:58,640 --> 00:36:00,640 Speaker 1: piece about how that I was going to go to 671 00:36:00,680 --> 00:36:03,560 Speaker 1: Netflix and that she didn't want to, didn't want to, 672 00:36:03,880 --> 00:36:05,879 Speaker 1: you know, have a Netflix a deal with Netflix, because 673 00:36:05,880 --> 00:36:07,719 Speaker 1: she was like, it's not clear to me, you know 674 00:36:08,200 --> 00:36:09,759 Speaker 1: how I'm going to be compensated, how it's going to 675 00:36:09,800 --> 00:36:13,239 Speaker 1: be treated. And I think we should normalize particularly marginalized 676 00:36:13,280 --> 00:36:15,680 Speaker 1: creators asking those questions and doing some in public and 677 00:36:15,680 --> 00:36:17,480 Speaker 1: feeling empowered to be like, well, wait, is this going 678 00:36:17,520 --> 00:36:18,759 Speaker 1: to be a good move for me? I don't have 679 00:36:18,800 --> 00:36:21,440 Speaker 1: to just say yes because Netflix comes knocking, Like I 680 00:36:21,480 --> 00:36:23,880 Speaker 1: can have some agency and push back and say I 681 00:36:23,960 --> 00:36:25,720 Speaker 1: know my word and I want to ask some questions 682 00:36:25,719 --> 00:36:27,360 Speaker 1: and I don't have to just be grateful because you 683 00:36:27,400 --> 00:36:30,239 Speaker 1: deigned to have me join your slate. That interview is 684 00:36:30,280 --> 00:36:34,400 Speaker 1: so fucking incredible, and like, I'm so glad that she 685 00:36:34,480 --> 00:36:37,600 Speaker 1: shared that anecdote too, because when she kept I mean, 686 00:36:37,640 --> 00:36:39,520 Speaker 1: I love how that anecdote ends where it's like she 687 00:36:39,600 --> 00:36:43,120 Speaker 1: keeps pushing on this uh Netflix exact, saying like why 688 00:36:43,160 --> 00:36:45,279 Speaker 1: can't I have a percentage of my own work? Like 689 00:36:45,320 --> 00:36:47,320 Speaker 1: what what is the point of that? And it is 690 00:36:47,400 --> 00:36:49,920 Speaker 1: kind of getting like a corporate deflection of like, oh, well, 691 00:36:49,920 --> 00:36:52,040 Speaker 1: it's really not that big of a deal. And so 692 00:36:52,120 --> 00:36:53,799 Speaker 1: THEI Kayla Cole says like, well, if it's not that 693 00:36:53,840 --> 00:36:56,040 Speaker 1: big of a deal, then give me five percent of it, 694 00:36:56,239 --> 00:36:58,440 Speaker 1: knowing that they were going to keep saying no and 695 00:36:58,520 --> 00:37:03,279 Speaker 1: before like I think, doesn't it go that before she 696 00:37:03,520 --> 00:37:05,000 Speaker 1: you know, when MICHAELA. Cole is kind of like, I'm 697 00:37:05,040 --> 00:37:08,440 Speaker 1: not going to do this with Netflix, and the Netflix 698 00:37:08,480 --> 00:37:12,400 Speaker 1: executive on the phone, who was a woman, said good 699 00:37:12,440 --> 00:37:14,920 Speaker 1: for you, like off the record, good for you. You're 700 00:37:14,960 --> 00:37:17,960 Speaker 1: doing the right thing. Click, like yeah, they know what 701 00:37:18,040 --> 00:37:22,480 Speaker 1: they're doing. Yes, and yah, we should keep pushing, keep asking. 702 00:37:22,920 --> 00:37:24,520 Speaker 1: A thing about that Innifloce that I like so much 703 00:37:24,560 --> 00:37:27,319 Speaker 1: is that she's like she has uh. One of her 704 00:37:27,320 --> 00:37:30,160 Speaker 1: negotiation tactics is just like continuing to ask questions even 705 00:37:30,200 --> 00:37:32,640 Speaker 1: when she already knows the answer, so that like to 706 00:37:32,640 --> 00:37:34,680 Speaker 1: get them to admit it. Like I just think that's 707 00:37:34,719 --> 00:37:39,359 Speaker 1: like we we have to normalize like asking these kinds 708 00:37:39,400 --> 00:37:41,319 Speaker 1: of questions and not being afraid to walk away and 709 00:37:41,360 --> 00:37:43,040 Speaker 1: not being afraid to ask them and not being afraid 710 00:37:43,080 --> 00:37:46,600 Speaker 1: to look ungrateful or look annoying or look whatever, like fine, 711 00:37:46,680 --> 00:37:48,600 Speaker 1: you think I'm annoying you, you're sick of email, and 712 00:37:48,600 --> 00:37:49,960 Speaker 1: you fine, be sick of it, but I'm gonna I'm 713 00:37:49,960 --> 00:37:52,480 Speaker 1: gonna get my money. It's like, yeah, it's a good 714 00:37:52,520 --> 00:37:55,120 Speaker 1: rhetorical strategy because you're saying I'm going to get them 715 00:37:55,120 --> 00:37:57,960 Speaker 1: to articulate that the reason they do it is probably 716 00:37:58,000 --> 00:38:00,880 Speaker 1: because of some kind of racist or massagy an mystic reasoning, 717 00:38:01,560 --> 00:38:03,880 Speaker 1: but they're going to couch it in this corporate speak. 718 00:38:04,080 --> 00:38:06,759 Speaker 1: But if you keep actually you know, examining it and 719 00:38:06,760 --> 00:38:08,480 Speaker 1: be like, well, can you actually explain that for that 720 00:38:08,600 --> 00:38:10,399 Speaker 1: for like at a certain point they're like, look, man, 721 00:38:10,400 --> 00:38:12,480 Speaker 1: the company just doesn't pay black people that way. Okay, 722 00:38:13,080 --> 00:38:15,120 Speaker 1: Like it's almost like that's what you know you're gonna get. 723 00:38:15,160 --> 00:38:17,160 Speaker 1: And then they can be like, okay, great, and because 724 00:38:17,200 --> 00:38:19,359 Speaker 1: of this, I am not interested in working with you. 725 00:38:19,520 --> 00:38:23,319 Speaker 1: Good day and that. But that that definitely changes the 726 00:38:23,360 --> 00:38:25,560 Speaker 1: tone versus what it is now, which is, you know, 727 00:38:25,680 --> 00:38:29,080 Speaker 1: we come for our scraps as creators and they're like, here, 728 00:38:29,120 --> 00:38:31,600 Speaker 1: I have a half half a chicken bone and that's 729 00:38:31,600 --> 00:38:33,920 Speaker 1: all you're gonna get because I have the infrastructure to 730 00:38:33,960 --> 00:38:36,960 Speaker 1: get your to make you famous. But no, you know, 731 00:38:37,239 --> 00:38:39,920 Speaker 1: it's it's about one's right, fighting for it's fair and 732 00:38:39,960 --> 00:38:42,880 Speaker 1: that and that whole you know, like mentality of like 733 00:38:42,920 --> 00:38:46,600 Speaker 1: being whatever quote unquote grateful for the opportunity of like 734 00:38:46,680 --> 00:38:48,839 Speaker 1: you can't ask any follow up questions or you are 735 00:38:49,040 --> 00:38:53,040 Speaker 1: a grateful towards this, right. Yeah, it's it's extremely manipulative. 736 00:38:53,080 --> 00:38:54,759 Speaker 1: But I mean, I don't know. I felt for it 737 00:38:54,800 --> 00:39:00,759 Speaker 1: for a long time. Sometimes I've yet to have an 738 00:39:00,800 --> 00:39:02,799 Speaker 1: opportunity to show that I haven't fallen for it, fallen 739 00:39:02,880 --> 00:39:08,160 Speaker 1: for you getting paid in exposure. Okay, see there, I'll 740 00:39:08,680 --> 00:39:12,320 Speaker 1: transport myself to Indiana. You can get me Twitter verified. 741 00:39:12,760 --> 00:39:16,359 Speaker 1: Oh no, okay, what about Instagram? Oh no, okay, okay, 742 00:39:16,640 --> 00:39:19,520 Speaker 1: all right, I'll check back in eight months. Okay, thank you. 743 00:39:19,560 --> 00:39:23,480 Speaker 1: It was a good experience. It was good experience. All right, 744 00:39:23,920 --> 00:39:27,439 Speaker 1: Let's let's take another quick break and we'll come back 745 00:39:27,480 --> 00:39:41,600 Speaker 1: to talk some other stuff after this and we're back. 746 00:39:42,200 --> 00:39:45,280 Speaker 1: What is something from your search history that is revealing 747 00:39:45,280 --> 00:39:51,840 Speaker 1: about who you are? Oh? Man, Uh, I'm gonna be honest. 748 00:39:51,920 --> 00:39:53,759 Speaker 1: I thought about whether I should give you guys some 749 00:39:53,760 --> 00:39:57,560 Speaker 1: smoking mirrors, uh, and something amusing. These are troubled times. 750 00:39:57,960 --> 00:40:00,359 Speaker 1: But really this is a sad story. I got got uh, 751 00:40:00,440 --> 00:40:04,120 Speaker 1: I got really into the idea of falconry, and I 752 00:40:04,280 --> 00:40:07,160 Speaker 1: was like, that's a real thing, you know. Me and 753 00:40:07,360 --> 00:40:09,640 Speaker 1: me and my uh me and one of my close 754 00:40:09,680 --> 00:40:13,839 Speaker 1: friends were like, let's dream about what we'll do if 755 00:40:13,880 --> 00:40:17,040 Speaker 1: there's a world without a lockdown and you know, a 756 00:40:17,120 --> 00:40:20,319 Speaker 1: world to come back to. And we were like, fucking falcons, bro, 757 00:40:20,560 --> 00:40:24,680 Speaker 1: We're gonna be falcon people now. Uh So my search 758 00:40:24,800 --> 00:40:27,920 Speaker 1: history is pretty deep in uh, falconry. It's a thing 759 00:40:28,000 --> 00:40:31,680 Speaker 1: you can do. Uh. Turns out it's a little bit complicated. Yeah, 760 00:40:31,719 --> 00:40:34,200 Speaker 1: a little bit more more complicated than we thought it 761 00:40:34,239 --> 00:40:38,880 Speaker 1: would be. When we were a glove right right, you 762 00:40:38,880 --> 00:40:40,839 Speaker 1: can't even use a glove at home. You gotta get 763 00:40:40,840 --> 00:40:43,040 Speaker 1: it like a special glove. We took a pitch back 764 00:40:43,040 --> 00:40:47,200 Speaker 1: at Cracked from a falcon ore. Uh, somebody who's h 765 00:40:47,520 --> 00:40:52,719 Speaker 1: who falcons for living? Uh, and they were talking about 766 00:40:52,800 --> 00:40:55,880 Speaker 1: it's actually really fascinating, Like they use it for hunting. 767 00:40:56,200 --> 00:40:59,440 Speaker 1: They use the falcon like so anytime somebody makes the 768 00:40:59,520 --> 00:41:03,080 Speaker 1: argument like second uh second Amendment, like I need to 769 00:41:03,080 --> 00:41:06,280 Speaker 1: have my gun for hunting, Uh, you could be using 770 00:41:06,440 --> 00:41:11,520 Speaker 1: a falcon sir, which is way cooler, way more badass. 771 00:41:11,600 --> 00:41:15,000 Speaker 1: Just breed a bunch of full falcons or if you like, 772 00:41:15,160 --> 00:41:16,920 Speaker 1: I don't know what the term is, like a fleet 773 00:41:17,000 --> 00:41:19,520 Speaker 1: of owls because you know, like that one murder mystery 774 00:41:19,600 --> 00:41:21,520 Speaker 1: or like they thought maybe the owl got the woman 775 00:41:21,560 --> 00:41:23,680 Speaker 1: at the base of her skull and ship. We just 776 00:41:23,760 --> 00:41:29,360 Speaker 1: have these like al assassins and ship. Yeah, staircase, yeah exactly, 777 00:41:29,960 --> 00:41:34,239 Speaker 1: be a real who Done it? Here's why I'm not 778 00:41:34,280 --> 00:41:36,400 Speaker 1: going to be a falcon or sorry, Ben, I have 779 00:41:36,480 --> 00:41:40,160 Speaker 1: to have to retire after that. After that Who Done It? 780 00:41:40,200 --> 00:41:48,080 Speaker 1: For Miles show has peaked. Um. But yeah, the stats 781 00:41:48,200 --> 00:41:49,840 Speaker 1: I don't have them in front of me, but the 782 00:41:49,880 --> 00:41:53,360 Speaker 1: stats on uh, you know, the number of school mass 783 00:41:53,400 --> 00:41:58,000 Speaker 1: falcon ngs are are much lower than gun violence. So 784 00:41:58,000 --> 00:41:59,759 Speaker 1: those are just facts, Jack, And that's why I like 785 00:42:00,200 --> 00:42:03,320 Speaker 1: this show. That's right. I saw a guy like a falconer, 786 00:42:03,360 --> 00:42:05,439 Speaker 1: I know, I think l a f C the MLS team, 787 00:42:05,480 --> 00:42:07,680 Speaker 1: Like there's like a falcon or a hawk or someone 788 00:42:07,719 --> 00:42:10,239 Speaker 1: who was like part of the team. And I saw 789 00:42:10,280 --> 00:42:12,640 Speaker 1: the guy who's the handler, like walking through like the 790 00:42:12,719 --> 00:42:17,160 Speaker 1: concourse and like this like bar and the like while 791 00:42:17,160 --> 00:42:20,279 Speaker 1: he's talking the falcons like the wildest ship, like on 792 00:42:20,320 --> 00:42:23,680 Speaker 1: the table next to him. And it was funny because 793 00:42:23,719 --> 00:42:26,040 Speaker 1: the falconer didn't even flinch, and the woman he was 794 00:42:26,080 --> 00:42:29,239 Speaker 1: speaking to is like neck almost broke when she's like, oh, 795 00:42:29,280 --> 00:42:32,279 Speaker 1: I think and he was just bulldozing through it. I 796 00:42:32,280 --> 00:42:36,320 Speaker 1: was like, okay, the falcon's edge. Yeah, I gotta tell you, guys, 797 00:42:36,360 --> 00:42:38,799 Speaker 1: I gotta confess just real quick. Here's why I'm never 798 00:42:38,840 --> 00:42:41,120 Speaker 1: going to be a falconer. I got in over my head. 799 00:42:41,239 --> 00:42:44,359 Speaker 1: I got in too deep. I didn't order anything yet. 800 00:42:44,400 --> 00:42:47,680 Speaker 1: I'm not responsible for raising a falcon, thank god. Uh. 801 00:42:47,880 --> 00:42:52,680 Speaker 1: It turns out that there's a a way that people 802 00:42:52,800 --> 00:42:58,279 Speaker 1: falconers had to save some falcon species, and they basically 803 00:42:58,480 --> 00:43:03,120 Speaker 1: they invented a very specific type of hat and they 804 00:43:03,120 --> 00:43:06,880 Speaker 1: would have the falcon bang the hat while someone was 805 00:43:06,920 --> 00:43:11,160 Speaker 1: wearing it to help the species reproduce. And I was like, 806 00:43:11,280 --> 00:43:14,040 Speaker 1: this is not this is not what I signed up for. 807 00:43:14,560 --> 00:43:17,680 Speaker 1: I'm just having sex with the hat, like sex like 808 00:43:17,719 --> 00:43:27,640 Speaker 1: the hat. Okay, yeah, let me what. I don't wait 809 00:43:27,719 --> 00:43:30,239 Speaker 1: that like weird, like the hood that keeps them like 810 00:43:30,280 --> 00:43:33,000 Speaker 1: blind until it's time to attack. No, it's a hat 811 00:43:33,120 --> 00:43:36,360 Speaker 1: that the falconer is wearing. It's like the falconer helmet. 812 00:43:36,480 --> 00:43:39,759 Speaker 1: The equivalent of a football helmet for falconers is a 813 00:43:39,800 --> 00:43:48,160 Speaker 1: hat that the falcon fus. Yeah, guine falconers real headbanging stuff. 814 00:43:48,760 --> 00:43:54,120 Speaker 1: Wow literally okay, so yeah, well I guess, you know, 815 00:43:54,239 --> 00:43:58,480 Speaker 1: to each their own. Um that's I wish I didn't 816 00:43:58,520 --> 00:44:01,200 Speaker 1: know that, but I'm now that we're there, I mean, 817 00:44:01,280 --> 00:44:02,920 Speaker 1: what do you do? Like, you can just leave it 818 00:44:02,960 --> 00:44:04,840 Speaker 1: in the hawk knows what time it is already. You're like, 819 00:44:05,000 --> 00:44:07,200 Speaker 1: is that the hat? Okay, thank you, come back in 820 00:44:07,800 --> 00:44:11,400 Speaker 1: five seconds, Like, I don't how does it work? Like it? 821 00:44:11,520 --> 00:44:14,920 Speaker 1: I think? Is that right? Yeah? Yeah, to wear the 822 00:44:15,000 --> 00:44:18,200 Speaker 1: hat and it fucks the hat head on your head. 823 00:44:18,520 --> 00:44:21,200 Speaker 1: You could. You can see videos and the people wearing 824 00:44:21,280 --> 00:44:25,719 Speaker 1: the hat like make falcon noises, like the equivalent of 825 00:44:25,800 --> 00:44:29,200 Speaker 1: falcon dirty talk, you know, and oh yeah, I got 826 00:44:29,920 --> 00:44:36,239 Speaker 1: a million missions literal skull fucking oh wow. Okay. Yeah. 827 00:44:36,320 --> 00:44:38,239 Speaker 1: So I'm just saying I I Am not going to 828 00:44:38,360 --> 00:44:40,400 Speaker 1: judge them. Far be it for me to get someone's 829 00:44:40,480 --> 00:44:45,920 Speaker 1: yum all respective falconers. It's just anybody skill. Anybody who 830 00:44:46,000 --> 00:44:48,480 Speaker 1: says yum, well that is happening needs to be put 831 00:44:48,520 --> 00:44:52,759 Speaker 1: in prison. Just getting there, getting their hat fucked by 832 00:44:52,800 --> 00:44:55,640 Speaker 1: a falcon and they utter the words, um, well, you're 833 00:44:55,680 --> 00:44:58,640 Speaker 1: being too simplistic. I'm saying um because I know that 834 00:44:58,840 --> 00:45:03,560 Speaker 1: hawk is going to catch so many the yummy mice later. Okay, cool, cool. 835 00:45:06,040 --> 00:45:11,200 Speaker 1: It seems like debasing, you know what I mean, like 836 00:45:11,400 --> 00:45:14,240 Speaker 1: at that point are you are you actually in control 837 00:45:14,320 --> 00:45:16,759 Speaker 1: of the falcon? But I mean the videos and the 838 00:45:17,280 --> 00:45:20,200 Speaker 1: falcons are all very pretty ricky about it, like they're 839 00:45:20,280 --> 00:45:24,520 Speaker 1: really just like putting in like very smooth. Uh. They 840 00:45:24,600 --> 00:45:26,200 Speaker 1: put on a little R and B and just like 841 00:45:26,920 --> 00:45:32,359 Speaker 1: give give some dramatic Uh. No, I'm just joking. I'm 842 00:45:32,400 --> 00:45:37,439 Speaker 1: not watching the video. I never will. I know too. 843 00:45:38,960 --> 00:45:41,319 Speaker 1: It looks like the hat and and this one looks 844 00:45:41,320 --> 00:45:43,920 Speaker 1: like a croc they turned into a bucket hat. It's 845 00:45:43,960 --> 00:45:46,400 Speaker 1: like I think a training hat or something. Anyway, this 846 00:45:46,480 --> 00:45:49,040 Speaker 1: will be a whole other episode, will do. No. I mean, sorry, guys, 847 00:45:49,239 --> 00:45:53,360 Speaker 1: sorry that you can't do a search history that deserves 848 00:45:53,440 --> 00:46:01,480 Speaker 1: to be its own, like part series. All right, that's 849 00:46:01,560 --> 00:46:05,680 Speaker 1: gonna do it for this week's weekly Zeitgeist. Please like 850 00:46:05,840 --> 00:46:09,600 Speaker 1: and review the show. If you like the show, uh 851 00:46:10,040 --> 00:46:13,880 Speaker 1: means the world to Miles. He needs your validation, folks. 852 00:46:14,480 --> 00:46:17,560 Speaker 1: I hope you're having a great weekend and I will 853 00:46:17,600 --> 00:47:08,040 Speaker 1: talk to you Monday. By a spot