1 00:00:03,400 --> 00:00:10,120 Speaker 1: Motherfucking mini episode, mini episode, motherfucking mini ever. 2 00:00:10,080 --> 00:00:16,000 Speaker 2: Sel when we be up in the club, we be 3 00:00:16,520 --> 00:00:20,799 Speaker 2: posting it back. When we be in the club, girls 4 00:00:20,880 --> 00:00:23,680 Speaker 2: always come to the back. There it is there. It 5 00:00:23,800 --> 00:00:27,480 Speaker 2: is ladies and gentlemen, And welcome to another phenomenal episode 6 00:00:27,480 --> 00:00:28,600 Speaker 2: of My Mama Told Me. 7 00:00:28,760 --> 00:00:33,360 Speaker 3: The podcast. It dives deep into the pockets of black 8 00:00:33,440 --> 00:00:35,360 Speaker 3: conspiracy theories. 9 00:00:34,920 --> 00:00:38,280 Speaker 2: And we finally work to prove the theories that you 10 00:00:38,360 --> 00:00:44,080 Speaker 2: the listener have at motherfucking home. It's a motherfucking mini episode, 11 00:00:44,280 --> 00:00:55,520 Speaker 2: bitch something. Hmm. Can I smell your dick? And more importantly, 12 00:00:55,560 --> 00:00:58,600 Speaker 2: can I hear read your conspiracy? 13 00:00:58,920 --> 00:00:59,600 Speaker 3: Give it to them? 14 00:00:59,680 --> 00:01:03,800 Speaker 2: Yeah, this is this is exciting, and that's David Bori 15 00:01:04,440 --> 00:01:08,640 Speaker 2: and we are here to deal with the listener emails 16 00:01:08,680 --> 00:01:12,039 Speaker 2: that that we receive. Hans the other day sent us 17 00:01:12,080 --> 00:01:18,480 Speaker 2: a notice that someone wrote a scathing review of our podcast. Yeah, 18 00:01:18,959 --> 00:01:23,320 Speaker 2: I believe referred to us as a deeply, deeply anti 19 00:01:23,440 --> 00:01:26,360 Speaker 2: Semitic and he said he was a fan from one 20 00:01:26,400 --> 00:01:28,679 Speaker 2: of us on a different podcast and then came to 21 00:01:28,800 --> 00:01:32,399 Speaker 2: listen here and then immediately regretted it on account of 22 00:01:32,400 --> 00:01:36,200 Speaker 2: our our anti semitism and gave us one star on 23 00:01:36,680 --> 00:01:39,000 Speaker 2: He said, I heard one of your hosts on another podcast, 24 00:01:39,000 --> 00:01:40,880 Speaker 2: so I thought I would give this a listen. My mistake, 25 00:01:40,920 --> 00:01:46,080 Speaker 2: I was treated to anti semitism, treated, which is pretty nice. 26 00:01:46,880 --> 00:01:52,480 Speaker 2: We we showed up with treat and anti semitism and 27 00:01:52,680 --> 00:01:56,000 Speaker 2: insults directed towards the listener. Oh, he didn't care for it. 28 00:01:56,080 --> 00:02:01,080 Speaker 2: He said, stay classy. That's how you know he's a Yeah, 29 00:02:01,160 --> 00:02:09,480 Speaker 2: domestic cuts, So yeah, I can say what suck? 30 00:02:09,639 --> 00:02:10,200 Speaker 3: Yeah, it's sucking. 31 00:02:10,240 --> 00:02:13,360 Speaker 2: My dick is often the answer, and I would dare. 32 00:02:13,919 --> 00:02:15,800 Speaker 2: I would go so far as to say, and I 33 00:02:15,840 --> 00:02:18,160 Speaker 2: know we're not often supposed to do this, but I 34 00:02:18,160 --> 00:02:20,960 Speaker 2: would go so far as to say, I I don't 35 00:02:21,000 --> 00:02:26,200 Speaker 2: recall ever having been intentionally antisemitic on this podcast, and 36 00:02:26,280 --> 00:02:28,760 Speaker 2: if I have been, I hope that the listeners will 37 00:02:28,760 --> 00:02:29,760 Speaker 2: hold me accountable. 38 00:02:30,080 --> 00:02:30,680 Speaker 3: But fuck you. 39 00:02:30,800 --> 00:02:40,239 Speaker 2: Domesticated Dave. If that is domesticated day, I we hate 40 00:02:40,280 --> 00:02:44,519 Speaker 2: your guts, but but we're working on ourselves. Domesticated Dave, 41 00:02:44,600 --> 00:02:47,320 Speaker 2: so maybe that maybe there's more work to be done. 42 00:02:47,360 --> 00:02:49,800 Speaker 3: Who knows. Maybe I'll be domesticated day one day, But 43 00:02:49,880 --> 00:02:51,440 Speaker 3: for now, I'm outside. 44 00:02:51,200 --> 00:02:55,920 Speaker 2: That right now. My man's outside. He's feral, Dave. 45 00:02:56,320 --> 00:02:58,360 Speaker 3: I'm not one of those hogs returned to the wise. 46 00:02:58,560 --> 00:03:01,560 Speaker 2: Yeah, one of those those piggies that that finds a 47 00:03:01,560 --> 00:03:03,920 Speaker 2: new piggy that that what's. 48 00:03:03,680 --> 00:03:06,600 Speaker 3: Nervous at first. No, I don't understand what you're going. 49 00:03:06,639 --> 00:03:08,080 Speaker 2: Yeah, because you know when you put them back in 50 00:03:08,120 --> 00:03:11,320 Speaker 2: the wild. Oh yeah, but they're hesitant. But then they 51 00:03:11,360 --> 00:03:13,440 Speaker 2: find a way to make a community. You get a 52 00:03:13,480 --> 00:03:17,000 Speaker 2: scar or two and then something you're running with the pack. 53 00:03:16,760 --> 00:03:18,880 Speaker 3: Of piggy, a couple of rabbits. Now I'm the king 54 00:03:18,919 --> 00:03:19,360 Speaker 3: of the herd. 55 00:03:19,440 --> 00:03:22,840 Speaker 2: There you go. I don't think so. I was just 56 00:03:22,880 --> 00:03:23,560 Speaker 2: gonna go with it. 57 00:03:23,600 --> 00:03:27,400 Speaker 3: I appreciate it. Thank you, man, You've been a good 58 00:03:27,400 --> 00:03:35,080 Speaker 3: partner to me. We got an email. 59 00:03:36,600 --> 00:03:40,280 Speaker 2: From a person named Asia. Asia sent us to a 60 00:03:40,480 --> 00:03:45,200 Speaker 2: s I A yep, classic A no no no. I 61 00:03:45,280 --> 00:03:50,120 Speaker 2: like that traditional Asia, like the continent, like the continent Asia, 62 00:03:50,200 --> 00:03:52,640 Speaker 2: but with the black ass last name. So I assume 63 00:03:54,120 --> 00:03:59,240 Speaker 2: not of the continent that's on the nose though. Yeah, 64 00:03:58,760 --> 00:04:04,600 Speaker 2: I think if I Asia that that feels like you're 65 00:04:05,280 --> 00:04:06,080 Speaker 2: tripping a little bit. 66 00:04:06,280 --> 00:04:07,320 Speaker 3: Yeah, yeah, I get it. 67 00:04:08,040 --> 00:04:12,200 Speaker 2: She sent us an email that is short, there's not 68 00:04:12,280 --> 00:04:16,719 Speaker 2: a lot here, but it's it's heavy. It's a heavy one. 69 00:04:16,839 --> 00:04:20,400 Speaker 2: She said, Hi, Bory and Langston. My mama told me 70 00:04:21,040 --> 00:04:24,440 Speaker 2: prisons know how many beds to plan for based on 71 00:04:24,560 --> 00:04:29,240 Speaker 2: students third grade test scores. Now that I work in education, 72 00:04:29,440 --> 00:04:33,680 Speaker 2: this is something I've heard echoed by other teachers and administrators. 73 00:04:33,760 --> 00:04:42,080 Speaker 2: Love the pod Asia, Yeah it's dark Asia. You didn't 74 00:04:42,160 --> 00:04:45,320 Speaker 2: as you didn't try to uplift us at all. 75 00:04:45,360 --> 00:04:47,239 Speaker 4: As you know that we like a sweet little treat 76 00:04:47,279 --> 00:04:48,880 Speaker 4: with our conspiracies, and you gave us. 77 00:04:49,279 --> 00:04:51,560 Speaker 2: You gave us nothing. You ain't go like. Yeah, but 78 00:04:51,600 --> 00:04:54,039 Speaker 2: I work in a school and the kids' day sometimes 79 00:04:54,040 --> 00:04:56,440 Speaker 2: make me, uh turkeys with their fingers. 80 00:04:56,520 --> 00:05:01,520 Speaker 3: Yeah, such a musical people. 81 00:05:01,600 --> 00:05:03,960 Speaker 2: I got a student who he's invented jazz. 82 00:05:06,240 --> 00:05:10,960 Speaker 4: I will say, seriously, I don't it's not enough information. 83 00:05:11,120 --> 00:05:13,200 Speaker 3: I don't believe it. You don't believe it. 84 00:05:13,680 --> 00:05:18,560 Speaker 4: I who's to test third grade test scores? Where what 85 00:05:19,040 --> 00:05:22,800 Speaker 4: you're talking about like high risk areas, kids move, there's transience. 86 00:05:23,200 --> 00:05:26,440 Speaker 4: It doesn't seem like super reliable. I just feel like 87 00:05:27,200 --> 00:05:30,480 Speaker 4: that's not enough information. And prisons a lot of prisons 88 00:05:30,520 --> 00:05:35,000 Speaker 4: are notoriously overcrowded, so they're not doing a great like I. 89 00:05:35,240 --> 00:05:40,680 Speaker 4: I understand the conspiracy within this, and I would love 90 00:05:40,760 --> 00:05:41,560 Speaker 4: to be on board. 91 00:05:41,560 --> 00:05:46,440 Speaker 3: But if that's too vague, Oh, it's too vague of 92 00:05:46,480 --> 00:05:50,520 Speaker 3: a that's too vague of a of a of a measurement. 93 00:05:50,800 --> 00:05:55,400 Speaker 2: I guess I feel differently. I think that I hear 94 00:05:55,480 --> 00:05:58,680 Speaker 2: this and I don't. I probably think that planning for 95 00:05:58,800 --> 00:06:02,040 Speaker 2: the number of beds is a little bit of a 96 00:06:03,520 --> 00:06:06,240 Speaker 2: red herring, right that, Like, it's not actually that they're 97 00:06:06,279 --> 00:06:08,600 Speaker 2: planning for the number of beds based off of the 98 00:06:08,640 --> 00:06:11,719 Speaker 2: third grade state test scores. But I do think that 99 00:06:11,760 --> 00:06:16,400 Speaker 2: they probably are planning for a bunch of things relating 100 00:06:16,520 --> 00:06:21,360 Speaker 2: to the prison industrial complex as it relates to third 101 00:06:21,400 --> 00:06:23,560 Speaker 2: grade state test scores. 102 00:06:23,680 --> 00:06:26,080 Speaker 3: Like as far as building more, because that's the only. 103 00:06:26,120 --> 00:06:29,680 Speaker 2: I think building more. I think, I think funding, I 104 00:06:29,680 --> 00:06:34,599 Speaker 2: think introducing policing in that community, or how they manage 105 00:06:34,640 --> 00:06:36,800 Speaker 2: policing in that community. I think there are a lot 106 00:06:36,800 --> 00:06:41,320 Speaker 2: of things that feed the complex that are probably managed 107 00:06:41,880 --> 00:06:45,040 Speaker 2: through things that we are reflected in our test scores. 108 00:06:45,520 --> 00:06:49,040 Speaker 2: And I don't know that it's it's quote unquote beds, 109 00:06:49,680 --> 00:06:52,120 Speaker 2: but I do think that they probably are fucking with 110 00:06:52,240 --> 00:06:54,640 Speaker 2: people pretty intensely based. 111 00:06:54,440 --> 00:06:59,680 Speaker 3: Off this crop is pretty bad. Yeah, maybe maybe we 112 00:07:00,120 --> 00:07:03,160 Speaker 3: us out a couple more prisons. I think I think 113 00:07:03,240 --> 00:07:06,080 Speaker 3: it's safe to say these kids aren't gonna be insurance. 114 00:07:06,480 --> 00:07:09,680 Speaker 2: Yeah, or maybe, And this is how sophisticated I think 115 00:07:09,680 --> 00:07:13,040 Speaker 2: the prison industrial complex is. Maybe it's just that we uh, 116 00:07:13,320 --> 00:07:16,280 Speaker 2: we turn this into a food desert. We stop even 117 00:07:16,360 --> 00:07:17,840 Speaker 2: focusing on because. 118 00:07:17,480 --> 00:07:19,920 Speaker 3: These kids aren't they don't need the nutrition after we 119 00:07:19,960 --> 00:07:22,680 Speaker 3: need to give them food for these idiots. 120 00:07:22,360 --> 00:07:26,120 Speaker 2: These fucking deucity scores. 121 00:07:24,200 --> 00:07:29,400 Speaker 4: These kids are not a divide. 122 00:07:29,440 --> 00:07:31,280 Speaker 3: We're not gonna get an AOC out of this thing. 123 00:07:31,680 --> 00:07:34,480 Speaker 2: We're gonna fucking underfund the ship out of this community. 124 00:07:34,800 --> 00:07:39,600 Speaker 2: And we know statistically, historically, we know that by removing 125 00:07:39,720 --> 00:07:46,120 Speaker 2: funds from this community, we are ensuring a certain payoff 126 00:07:46,800 --> 00:07:52,000 Speaker 2: in sending future prisoners to prison. Like I think that 127 00:07:52,080 --> 00:07:57,000 Speaker 2: they they at least understand the math well enough to go, well, 128 00:07:57,000 --> 00:07:59,960 Speaker 2: if we cut our money here, we cut the funding right, 129 00:08:00,120 --> 00:08:02,760 Speaker 2: can also gain money on the other side via the 130 00:08:02,760 --> 00:08:03,600 Speaker 2: prison system. 131 00:08:03,760 --> 00:08:05,880 Speaker 4: And I mean to that it not being as literal 132 00:08:05,920 --> 00:08:12,080 Speaker 4: as beds, but like you paint a bleak peak bleak do. 133 00:08:12,440 --> 00:08:13,920 Speaker 3: Some of those vocal exercises. 134 00:08:18,320 --> 00:08:24,920 Speaker 5: I know they didn't even check in with me. Then 135 00:08:25,080 --> 00:08:30,040 Speaker 5: do your job the bed, then give me head. 136 00:08:30,720 --> 00:08:33,959 Speaker 3: I forgot what I was gonna say, now it's bleak. 137 00:08:34,720 --> 00:08:37,480 Speaker 3: Oh yeah, that's a bleak portrait you paint like sin kermit. 138 00:08:37,920 --> 00:08:42,240 Speaker 3: But I that feels very reasonable. Yeah, a lot more 139 00:08:42,280 --> 00:08:44,400 Speaker 3: reasonable than the literal to bed ratio. 140 00:08:44,480 --> 00:08:46,400 Speaker 4: But like, of course, now I kind of think I 141 00:08:46,440 --> 00:08:49,200 Speaker 4: was done for even taking it at face value like that. 142 00:08:49,520 --> 00:08:55,320 Speaker 4: But the idea, especially of like selected selective funding targeting 143 00:08:55,400 --> 00:09:00,320 Speaker 4: and stuff like that, that feels like why wouldn't it. Yeah, 144 00:09:00,400 --> 00:09:01,720 Speaker 4: I would like to think that they do it with 145 00:09:01,760 --> 00:09:06,600 Speaker 4: poor white people too, like, because it's like if and 146 00:09:06,679 --> 00:09:09,640 Speaker 4: you work in education, so maybe you can tell me 147 00:09:10,040 --> 00:09:14,240 Speaker 4: it doesn't feel like there's places where white kids are 148 00:09:14,280 --> 00:09:17,079 Speaker 4: doing terrible on public testing in the third grade and 149 00:09:17,080 --> 00:09:19,720 Speaker 4: they're like, Okay, let's funnel a bunch of money over here, 150 00:09:20,040 --> 00:09:22,599 Speaker 4: yeah and help these kids get up, you know what 151 00:09:22,679 --> 00:09:22,959 Speaker 4: I mean? 152 00:09:23,120 --> 00:09:26,320 Speaker 2: No, and I do think that that's true. I think 153 00:09:26,360 --> 00:09:31,679 Speaker 2: that the system is built to consume poor people, and 154 00:09:31,760 --> 00:09:35,760 Speaker 2: specifically black people have been put in a position in 155 00:09:35,760 --> 00:09:39,320 Speaker 2: this country where we are more poor than we are wealthy, 156 00:09:39,880 --> 00:09:45,760 Speaker 2: right that, Like, through the unfortunate fucking circumstances we've been presented, 157 00:09:46,120 --> 00:09:50,640 Speaker 2: we are not often put in position to be successful 158 00:09:50,760 --> 00:09:53,559 Speaker 2: the way that our white counterparts have been But there 159 00:09:53,559 --> 00:09:55,440 Speaker 2: are a fuck tons of poor white people in this 160 00:09:55,520 --> 00:09:59,640 Speaker 2: country that are generationally poor. Oh yeah, like have remained 161 00:09:59,679 --> 00:10:02,679 Speaker 2: poor because their daddy was poor and his daddy was poor, 162 00:10:02,720 --> 00:10:05,880 Speaker 2: and his daddy was poor, and they their children will 163 00:10:05,880 --> 00:10:08,400 Speaker 2: be poor. And I think that that is also an 164 00:10:08,480 --> 00:10:13,000 Speaker 2: intentional effort on the part of like a capitalistic system, 165 00:10:13,400 --> 00:10:16,360 Speaker 2: right that, Like, it's not as if these motherfuckers are 166 00:10:16,400 --> 00:10:18,600 Speaker 2: like we've got to say poor whitey. 167 00:10:19,120 --> 00:10:20,679 Speaker 3: No, they don't even like them. 168 00:10:21,120 --> 00:10:22,960 Speaker 2: I think they hate poor white people. 169 00:10:25,160 --> 00:10:28,840 Speaker 4: I think I got all this white skin and I'm 170 00:10:28,880 --> 00:10:31,840 Speaker 4: still poor and not over here a racket. 171 00:10:38,600 --> 00:10:49,880 Speaker 3: They're playing basketball. My daddy was poor and they don't windmills. 172 00:10:50,480 --> 00:10:54,319 Speaker 2: My daddy died on a fucking line. 173 00:10:54,960 --> 00:10:55,680 Speaker 3: What's his name? 174 00:10:59,600 --> 00:11:02,560 Speaker 2: What the fuck is a Draymond Green? 175 00:11:07,720 --> 00:11:10,640 Speaker 3: Poor white guy, I'd be pretty pisched off too. Come on, man, 176 00:11:11,480 --> 00:11:13,160 Speaker 3: swag surf is swag. 177 00:11:13,320 --> 00:11:26,440 Speaker 2: Yeah, that's we're calling upon you because we have we 178 00:11:26,480 --> 00:11:29,960 Speaker 2: have new merch. We have very exciting merch that we 179 00:11:30,000 --> 00:11:33,520 Speaker 2: are now selling and it's it's fucking great. We love 180 00:11:33,559 --> 00:11:34,200 Speaker 2: it so much. 181 00:11:34,320 --> 00:11:36,640 Speaker 3: Just sleek, it's sexy. 182 00:11:36,880 --> 00:11:38,560 Speaker 2: Come on, you want to tell them what we have? 183 00:11:38,800 --> 00:11:41,600 Speaker 3: Yeah, we have three different types of hats, which is 184 00:11:41,600 --> 00:11:45,160 Speaker 3: really fun. We have a two tone hat, an alien 185 00:11:45,240 --> 00:11:48,719 Speaker 3: dad hat, the traditional logo in black and khaki. Then 186 00:11:48,760 --> 00:11:51,199 Speaker 3: we have the enamel pin with an alien who has 187 00:11:51,200 --> 00:11:53,480 Speaker 3: a coofie on it since my mama told me. And 188 00:11:53,480 --> 00:11:56,280 Speaker 3: then we have t shirts that say proud little Mama, 189 00:11:56,360 --> 00:11:57,280 Speaker 3: which is who you are. 190 00:11:57,840 --> 00:12:00,360 Speaker 2: Yeah, you can buy the merch. Now, we'll go to 191 00:12:00,400 --> 00:12:04,000 Speaker 2: Mamma told me dot Merchcentral dot com where you can 192 00:12:04,120 --> 00:12:07,080 Speaker 2: see all of our merch. You can buy ship and 193 00:12:07,400 --> 00:12:09,560 Speaker 2: we want you to have all the sweet stuff, so 194 00:12:09,640 --> 00:12:17,560 Speaker 2: get it. I think poor white people are maybe more, 195 00:12:18,000 --> 00:12:22,320 Speaker 2: not more, but certainly equally a sort of like a 196 00:12:22,360 --> 00:12:27,560 Speaker 2: product of the same level of intentional manipulation of the system. 197 00:12:28,160 --> 00:12:33,480 Speaker 2: But certainly the prison industrial complex has focused its energy 198 00:12:33,760 --> 00:12:40,160 Speaker 2: in large, fucking high populist communities, which is where black 199 00:12:40,200 --> 00:12:44,120 Speaker 2: people are poor most often. Right that it's big cities 200 00:12:44,360 --> 00:12:46,480 Speaker 2: where they can get the most people to feed the 201 00:12:46,520 --> 00:12:50,800 Speaker 2: prison systems, which is where black people are most often poor. Subsequently, 202 00:12:50,880 --> 00:12:53,520 Speaker 2: we're the ones in jail all the time, whereas like 203 00:12:53,559 --> 00:12:55,400 Speaker 2: poor white people that are just like, yeah, let them 204 00:12:55,400 --> 00:12:57,440 Speaker 2: starve in the fucking woods. Who cares? 205 00:12:57,760 --> 00:13:05,200 Speaker 3: Yeah's think we did it? Yeah, I don't. Asia. I'm sorry. 206 00:13:06,240 --> 00:13:08,920 Speaker 6: You know this is a comedy podcast, right, I'm sorry 207 00:13:09,000 --> 00:13:12,800 Speaker 6: that uh that that you gave us this really sad 208 00:13:13,000 --> 00:13:16,520 Speaker 6: conversation to have, but I hope you feel satisfying. 209 00:13:16,600 --> 00:13:19,120 Speaker 3: Yeah. Also, Asia, you know we're never in the room together. 210 00:13:19,440 --> 00:13:21,079 Speaker 3: You couldn't have given us a softball. 211 00:13:21,440 --> 00:13:24,680 Speaker 2: Yeah, come on, come on, man, I think no, it's 212 00:13:24,679 --> 00:13:25,640 Speaker 2: got six toes. 213 00:13:25,720 --> 00:13:29,480 Speaker 3: That would have been fun. Yeah, Kesher is secretly Melatto. 214 00:13:33,840 --> 00:13:36,360 Speaker 3: Other Wise you put that money's on it. Yeah you 215 00:13:36,400 --> 00:13:36,959 Speaker 3: think that was. 216 00:13:38,840 --> 00:13:40,240 Speaker 2: Like I know people. 217 00:13:42,880 --> 00:13:45,000 Speaker 3: Jerry Steinfeld don't like her. That all makes sense. 218 00:13:45,400 --> 00:13:51,440 Speaker 2: Jerome Seinfeld. Yeah, I think I think this covers it. 219 00:13:51,640 --> 00:13:52,040 Speaker 3: Asia. 220 00:13:52,120 --> 00:13:56,319 Speaker 2: I hope. I hope number one, that this answers your 221 00:13:56,400 --> 00:13:59,920 Speaker 2: question or at least feels satiating to you. And more importantly, 222 00:14:00,440 --> 00:14:03,080 Speaker 2: I hope you're doing something about this, Asia, because we 223 00:14:03,160 --> 00:14:06,360 Speaker 2: are not. We have we have no plans of affecting 224 00:14:06,400 --> 00:14:10,840 Speaker 2: the future youth of America in any positive way. We're 225 00:14:10,880 --> 00:14:13,920 Speaker 2: contributing nothing, and we're taking a lot, i'd. 226 00:14:13,720 --> 00:14:16,120 Speaker 3: Say, real top heavy. 227 00:14:16,320 --> 00:14:19,520 Speaker 2: So so do something, Asia, What the fuck? 228 00:14:19,800 --> 00:14:23,240 Speaker 3: For the love of god, Asia, my god, you're some 229 00:14:23,280 --> 00:14:25,240 Speaker 3: of your friends, the other Asias. 230 00:14:25,640 --> 00:14:33,400 Speaker 2: The Asia. I'm just struggling to think of Asians besides 231 00:14:33,440 --> 00:14:34,000 Speaker 2: the continent. 232 00:14:35,200 --> 00:14:41,400 Speaker 3: Fantasia feels like a cousin. Good place to start it. 233 00:14:41,640 --> 00:14:44,240 Speaker 2: Yeah, y'all, y'all related, And don't write her a letters 234 00:14:44,240 --> 00:14:44,960 Speaker 2: she can't read it. 235 00:14:47,960 --> 00:14:49,440 Speaker 3: I've been cool guy jokes. 236 00:14:53,200 --> 00:14:56,560 Speaker 2: I'm like Stinkerman and you can. You can follow David 237 00:14:56,600 --> 00:14:59,480 Speaker 2: at Cool Jake Cool Guy Jokes eighty seven. You want 238 00:14:59,480 --> 00:15:00,480 Speaker 2: to tell them many something else? 239 00:15:00,680 --> 00:15:00,760 Speaker 5: No? 240 00:15:01,080 --> 00:15:04,560 Speaker 4: Oh yeah, I watch Royal Crackers on Adult Swim and 241 00:15:04,680 --> 00:15:06,840 Speaker 4: Max just Max no HBO. 242 00:15:08,080 --> 00:15:10,400 Speaker 2: And as always, you can follow me at Langston Kerman 243 00:15:10,480 --> 00:15:14,080 Speaker 2: and you can, if if I'm remembering correctly, you can 244 00:15:14,120 --> 00:15:18,440 Speaker 2: come to my special taping February nineteenth at the Green 245 00:15:18,560 --> 00:15:19,800 Speaker 2: Mill in Chicago. 246 00:15:20,280 --> 00:15:23,280 Speaker 3: Travel buy a ticket, get on that plan. I was 247 00:15:23,320 --> 00:15:29,200 Speaker 3: actually gonna come. Uh it's day Oh yeah, yeah that's okay, Yeah, 248 00:15:29,400 --> 00:15:31,600 Speaker 3: yeah got it. I'll just surprised you. So I guess 249 00:15:31,440 --> 00:15:34,720 Speaker 3: that's really nice. Yeah, I'm a very good people don't 250 00:15:34,760 --> 00:15:36,720 Speaker 3: realize he's the bad guy. I'm the good guy. 251 00:15:36,960 --> 00:15:44,920 Speaker 2: Yeah, you're you're a much sweeter person than I am. 252 00:15:45,160 --> 00:15:48,720 Speaker 2: I was gonna I was gonna fly out just so 253 00:15:48,800 --> 00:15:50,480 Speaker 2: you couldn't be there. No, I don't know. 254 00:15:50,400 --> 00:15:52,600 Speaker 3: What I don't know what you meant. Yeah, this is 255 00:15:52,600 --> 00:15:55,400 Speaker 3: a very close fight. It's like an hour right. 256 00:15:55,560 --> 00:15:59,680 Speaker 2: Sure, no, Yeah, come to the special typing. It'll be 257 00:15:59,720 --> 00:16:02,280 Speaker 2: at the email. I'm very excited about it. It's gonna 258 00:16:02,320 --> 00:16:05,040 Speaker 2: be some cool shit and it's always If you want 259 00:16:05,040 --> 00:16:07,720 Speaker 2: to send us your own drops, your own conspiracy theories, 260 00:16:07,760 --> 00:16:10,240 Speaker 2: if you want to make us equally sad as what 261 00:16:10,360 --> 00:16:13,440 Speaker 2: Asia has done today, you can send it all to 262 00:16:13,600 --> 00:16:16,080 Speaker 2: Mymama pod at gmail dot com. We would love to 263 00:16:16,120 --> 00:16:18,320 Speaker 2: hear from you. That's the whole. 264 00:16:19,720 --> 00:16:20,320 Speaker 3: Shabang. 265 00:16:21,000 --> 00:16:23,920 Speaker 2: Bye bitch gee whizz gee, Willikers Batman. 266 00:16:24,360 --> 00:16:25,120 Speaker 3: Is that that drip? 267 00:16:28,560 --> 00:16:39,880 Speaker 1: Motherfucking Mini yoursel mini episode, motherfucking Mini ever Self, motherfucking 268 00:16:40,000 --> 00:16:46,160 Speaker 1: Mini ever Self Mini episode, motherfucking Mini eversol