1 00:00:00,160 --> 00:00:03,440 Speaker 1: Hello the Internet, and welcome to this episode of the 2 00:00:03,560 --> 00:00:08,120 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: laugh stravaganza. Uh yeah, So, without further ado, here is 5 00:00:22,680 --> 00:00:27,600 Speaker 1: the Weekly Zeitgeist. Brandon, what is something from your search 6 00:00:27,720 --> 00:00:30,880 Speaker 1: history that's revealing about who you are? Oh? Man, um, 7 00:00:31,120 --> 00:00:35,159 Speaker 1: let's see. Jeez, Louise I did not do my homework 8 00:00:35,159 --> 00:00:36,760 Speaker 1: on this one. I was I was already because you 9 00:00:36,760 --> 00:00:40,640 Speaker 1: know everything that's right. Um. But I'm a big fan 10 00:00:40,680 --> 00:00:44,320 Speaker 1: of buttons and zippers. Okay, yeah, I looked. Uh, I 11 00:00:44,400 --> 00:00:47,840 Speaker 1: look up rare ways of fastening clothing because the act 12 00:00:47,840 --> 00:00:50,280 Speaker 1: of fastening clothing became a really big deal. What is 13 00:00:50,360 --> 00:00:53,920 Speaker 1: fascinating clothing? You know this sounds crazy, but before you know, 14 00:00:54,000 --> 00:00:57,520 Speaker 1: before you have buttons and bones and stones and zippers 15 00:00:57,520 --> 00:01:01,240 Speaker 1: and clothing captures, you should just flail open. People would 16 00:01:01,280 --> 00:01:03,800 Speaker 1: know that you had a sword. People could just uh free, 17 00:01:04,480 --> 00:01:07,240 Speaker 1: they could just see your balls. But buttons, buttons change 18 00:01:07,280 --> 00:01:10,200 Speaker 1: the world. Oh so old fastened would have just been 19 00:01:10,240 --> 00:01:12,880 Speaker 1: like a pin. Literally, just whatever is fastening closing in clothing. 20 00:01:13,400 --> 00:01:16,319 Speaker 1: You might use a shard of your enemy's skull a 21 00:01:16,400 --> 00:01:20,320 Speaker 1: strange approach and flex. Yeah, yours is cooler though definitely 22 00:01:20,480 --> 00:01:25,319 Speaker 1: than mine. Are you making clothing? You know? I used 23 00:01:25,319 --> 00:01:28,319 Speaker 1: to make pocket squares out of dress shirts because they 24 00:01:28,319 --> 00:01:31,320 Speaker 1: will always match your outfit because their dress shirts and 25 00:01:31,360 --> 00:01:33,120 Speaker 1: if you cut the little tip the back of a 26 00:01:33,200 --> 00:01:36,520 Speaker 1: dress shirt is big enough to take and cut and 27 00:01:36,560 --> 00:01:38,839 Speaker 1: then make into a pocket square. So for a while 28 00:01:38,880 --> 00:01:40,759 Speaker 1: I was doing that, and that's a really crazy stitch. 29 00:01:40,880 --> 00:01:44,160 Speaker 1: It's a nightmare. It's hard to do if you shake. 30 00:01:44,440 --> 00:01:46,040 Speaker 1: Oh that makes sense because all that time I was like, 31 00:01:46,040 --> 00:01:49,480 Speaker 1: why you got that big square missing in your back? Also, 32 00:01:49,600 --> 00:01:52,040 Speaker 1: I call these ventilation You're like, well, if you were 33 00:01:52,040 --> 00:01:54,520 Speaker 1: a jacket, you don't know what you do is you 34 00:01:54,600 --> 00:01:56,360 Speaker 1: run into it. You run into a hospital and you're like, 35 00:01:59,240 --> 00:02:04,480 Speaker 1: you almost got my back. Have they come up with 36 00:02:04,520 --> 00:02:07,720 Speaker 1: anything better than the zipper or the button? I mean? 37 00:02:07,840 --> 00:02:10,520 Speaker 1: Vell Crow is a huge again. Ll Crow. It's like 38 00:02:12,160 --> 00:02:15,120 Speaker 1: he comes out of his his cocaine hayes and walks 39 00:02:15,160 --> 00:02:18,640 Speaker 1: down to his Miami backyard roadway to get to his 40 00:02:18,720 --> 00:02:22,120 Speaker 1: yacht and goes, I am the devail crow. That's right. 41 00:02:22,919 --> 00:02:28,359 Speaker 1: His his road to his yacht is paved in cocaine. 42 00:02:29,000 --> 00:02:32,600 Speaker 1: But is what's something that you think is underrated, um 43 00:02:32,600 --> 00:02:37,000 Speaker 1: white exceptionalism. Let's be real honest. They're just not getting 44 00:02:37,040 --> 00:02:40,640 Speaker 1: the credit that they deserve. You know. I think some 45 00:02:40,680 --> 00:02:43,240 Speaker 1: of these scandals that we've seen this week, with the 46 00:02:43,320 --> 00:02:47,160 Speaker 1: ability to not just test into a university but also 47 00:02:47,240 --> 00:02:50,680 Speaker 1: then scam your way in incredible and these people are 48 00:02:50,680 --> 00:02:53,040 Speaker 1: not being given enough credit. I mean, you said you 49 00:02:53,080 --> 00:02:55,480 Speaker 1: were down, like when your mom like you forgot your 50 00:02:55,560 --> 00:02:57,560 Speaker 1: lunch and your mom brought McDonald's and she was like, 51 00:02:57,560 --> 00:02:59,760 Speaker 1: I'm sorry, baby, I brought McDonald's because I forgot your 52 00:02:59,800 --> 00:03:01,359 Speaker 1: lunch money this morning. You were like, it's a win 53 00:03:01,400 --> 00:03:04,839 Speaker 1: win from you got set on what these parents just did. 54 00:03:05,440 --> 00:03:08,040 Speaker 1: I'm looking at my mom, like strawberries. He brought me 55 00:03:08,080 --> 00:03:10,400 Speaker 1: a bushel of strawberries because you didn't give me lunch money. 56 00:03:10,639 --> 00:03:13,880 Speaker 1: This woman paid half a million dollars. If someone else 57 00:03:13,960 --> 00:03:16,560 Speaker 1: take the test and also the gaslight, their own kids 58 00:03:16,560 --> 00:03:19,200 Speaker 1: will be like, no, you're smart, baby. You were to 59 00:03:19,360 --> 00:03:21,600 Speaker 1: fifteen ten on your S A T S. That is incredible. 60 00:03:21,919 --> 00:03:23,560 Speaker 1: I'm serious. That is some gangster ship. And you know 61 00:03:23,560 --> 00:03:25,280 Speaker 1: that's why they got the mamas, because who loves you 62 00:03:25,320 --> 00:03:28,440 Speaker 1: like that? He loves you enough to bribe somebody at 63 00:03:28,440 --> 00:03:31,320 Speaker 1: a school your mama and pulled the Forrest Gump in 64 00:03:31,360 --> 00:03:34,160 Speaker 1: this ship. I saw those memes pop up real quick, 65 00:03:34,400 --> 00:03:35,960 Speaker 1: like I remember when people were getting school the old 66 00:03:35,960 --> 00:03:40,240 Speaker 1: fashioned way, Sally Field. But this would be like if 67 00:03:40,240 --> 00:03:44,240 Speaker 1: Forrest gumps mom tricked him into thinking he was smart, right, 68 00:03:44,520 --> 00:03:47,400 Speaker 1: Like that was the thing about he was aware like 69 00:03:47,480 --> 00:03:49,960 Speaker 1: the full time that he wasn't like as quick as 70 00:03:50,040 --> 00:03:51,760 Speaker 1: other people. I hate to break this to you, but 71 00:03:51,880 --> 00:03:55,640 Speaker 1: all parents are lying to you about your and specialness 72 00:03:55,800 --> 00:04:00,600 Speaker 1: and your motherfucker's gift. My mom was like, they're lying 73 00:04:00,640 --> 00:04:03,320 Speaker 1: in the opposite direct. I remember when we first first 74 00:04:03,360 --> 00:04:06,080 Speaker 1: started doing multiplication tables, like in third or second grade 75 00:04:06,120 --> 00:04:08,240 Speaker 1: or something. I was one of the fastest ones. She 76 00:04:08,320 --> 00:04:10,200 Speaker 1: was like, well, who was the fastest? And I said 77 00:04:10,240 --> 00:04:13,840 Speaker 1: so and so and she's like, okay, why are they fast? No, 78 00:04:13,920 --> 00:04:17,320 Speaker 1: it wasn't just okay. And to this day I remember 79 00:04:17,360 --> 00:04:20,520 Speaker 1: how nuanced that was. I was like, okay, right, I 80 00:04:20,600 --> 00:04:25,400 Speaker 1: must destroy in the times tables And you should have 81 00:04:25,400 --> 00:04:28,200 Speaker 1: seen milk like a fucking calculator on meth the way 82 00:04:28,240 --> 00:04:30,640 Speaker 1: I used to do those things. And then I think 83 00:04:30,640 --> 00:04:32,200 Speaker 1: that's why I have a chip on my shoulder. Yeah, 84 00:04:32,240 --> 00:04:38,479 Speaker 1: because now I'm like, yeah, I'm sorry guys to bring 85 00:04:38,480 --> 00:04:40,279 Speaker 1: that in there. Dude, were you guess were you encouraged 86 00:04:40,279 --> 00:04:43,640 Speaker 1: as a child Jack academically? You seem smart enough that 87 00:04:43,680 --> 00:04:47,480 Speaker 1: you didn't. Yeah, I was. I was. I did okay 88 00:04:47,760 --> 00:04:50,120 Speaker 1: in school. I did well enough that they didn't really 89 00:04:50,120 --> 00:04:55,560 Speaker 1: need to tell me. Ship look at this he invented 90 00:04:55,600 --> 00:05:00,160 Speaker 1: the rider, and then and then low key bread. It 91 00:05:00,279 --> 00:05:10,080 Speaker 1: was just like it's always anytime you listen to it 92 00:05:10,160 --> 00:05:12,920 Speaker 1: was it was mostly like self applied pressure. Like I 93 00:05:12,960 --> 00:05:15,320 Speaker 1: was just like I was constantly in the midst of 94 00:05:15,360 --> 00:05:17,880 Speaker 1: a panic attack over my grade. So anytime like a 95 00:05:17,960 --> 00:05:21,160 Speaker 1: cool creative person is on a podcast or on TV 96 00:05:21,240 --> 00:05:23,640 Speaker 1: being like, yeah, I didn't really do school. So then 97 00:05:23,720 --> 00:05:26,680 Speaker 1: like I just came out here and became I'm like 98 00:05:26,920 --> 00:05:30,600 Speaker 1: the opposite of that right right right out of school. 99 00:05:30,640 --> 00:05:33,280 Speaker 1: I needed though, I needed someone to be like, oh 100 00:05:33,440 --> 00:05:35,880 Speaker 1: really to help me go along, Otherwise I think I 101 00:05:35,920 --> 00:05:39,680 Speaker 1: would accruised, right, you know, because teachers do. Teachers do 102 00:05:39,760 --> 00:05:41,960 Speaker 1: gass you up. There was like oh that was great, 103 00:05:42,000 --> 00:05:43,800 Speaker 1: and I used to I think that's where maybe my 104 00:05:43,800 --> 00:05:45,400 Speaker 1: parents trying to bounce me out, because I would come 105 00:05:45,400 --> 00:05:48,680 Speaker 1: home acting like I was Encyclopedia brown or something. Right. 106 00:05:48,920 --> 00:05:50,720 Speaker 1: I'm pretty smart for a black kid, is what I 107 00:05:50,760 --> 00:05:54,480 Speaker 1: would tell my parents. I'm as smart as black kid 108 00:05:54,520 --> 00:05:59,120 Speaker 1: in my class, So they're like unimpressive Johnson. I had 109 00:05:59,160 --> 00:06:02,720 Speaker 1: to drop out. So uh, yeah, I didn't really hear 110 00:06:02,720 --> 00:06:05,960 Speaker 1: a lot of praise. You think if you appraised more, 111 00:06:05,960 --> 00:06:07,960 Speaker 1: you would have stuck with school for sure. Man, you 112 00:06:08,080 --> 00:06:10,120 Speaker 1: come to a shitty job. If your boss tells you 113 00:06:10,120 --> 00:06:15,640 Speaker 1: you sweeps the floor? Great? Where'd you grow upend a 114 00:06:15,640 --> 00:06:19,160 Speaker 1: little town called University City, which is right next to St. Louis. 115 00:06:19,960 --> 00:06:22,919 Speaker 1: I might have heard of it. Yeah, you might have heard. Yeah, 116 00:06:23,000 --> 00:06:25,279 Speaker 1: you city. If and I come to you, send it 117 00:06:25,360 --> 00:06:28,040 Speaker 1: dirty if you go there. That's how we all talk 118 00:06:29,120 --> 00:06:33,000 Speaker 1: in sing song trying to get some comb bread one 119 00:06:33,040 --> 00:06:38,880 Speaker 1: bio brand new. That's just conversation. Put the tuck I wanted. 120 00:06:42,720 --> 00:06:45,680 Speaker 1: Taking a step back, Let's look at four years ago. 121 00:06:46,120 --> 00:06:50,520 Speaker 1: There was also a crowded Republican nomination process going on, 122 00:06:51,120 --> 00:06:54,120 Speaker 1: uh and one of the hot out of the box 123 00:06:54,200 --> 00:07:01,960 Speaker 1: candidates was the always vigorous and exciting Ben Carson Doctor 124 00:07:02,040 --> 00:07:06,800 Speaker 1: Ben Carson, Dr Ben doctor himself, yes, who's always appears 125 00:07:06,839 --> 00:07:09,440 Speaker 1: to be half sleep. So he did not win I 126 00:07:09,440 --> 00:07:11,400 Speaker 1: don't know if you guys were into politics, but he 127 00:07:11,440 --> 00:07:15,760 Speaker 1: didn't win the president, but he did get right right, 128 00:07:15,800 --> 00:07:19,680 Speaker 1: But he did get the job of running HUD from 129 00:07:19,840 --> 00:07:22,480 Speaker 1: the guy who won, which is Donald Trump. Okay, I 130 00:07:22,520 --> 00:07:24,040 Speaker 1: don't know if you guys the guy from the Pizza 131 00:07:24,080 --> 00:07:28,280 Speaker 1: Hut carmer, right, Yes, what happened to that? I don't know. 132 00:07:28,320 --> 00:07:31,640 Speaker 1: I guess he's oh pizza Hut. Yeah, but this has 133 00:07:31,640 --> 00:07:35,160 Speaker 1: always been very weird that he's running HUD because it 134 00:07:35,240 --> 00:07:37,760 Speaker 1: never made sense. It never made any sense. He's not 135 00:07:37,800 --> 00:07:40,800 Speaker 1: a person with any experience in policy. He's a person 136 00:07:41,280 --> 00:07:46,360 Speaker 1: with experience in pediatric brain surgery. Yeah. Maybe Trump was like, 137 00:07:46,440 --> 00:07:50,600 Speaker 1: don't worry, Ben, it's not brain surgery. Liked the joke. 138 00:07:50,680 --> 00:07:54,000 Speaker 1: So he's like, he's like, I'm honestly, guy's running hood 139 00:07:54,080 --> 00:07:56,360 Speaker 1: is just like and he's like, okay, I'll take And 140 00:07:56,360 --> 00:07:58,720 Speaker 1: do you think it was maybe because it had HUD 141 00:07:58,800 --> 00:08:01,320 Speaker 1: is housing an urban to development of course had the 142 00:08:01,320 --> 00:08:03,720 Speaker 1: word urban in it. Yeah, he was like, shout out 143 00:08:03,720 --> 00:08:07,560 Speaker 1: to urbans. I guess maybe because he grew up in 144 00:08:07,680 --> 00:08:10,360 Speaker 1: public housing. That was the one connective tisues like, well, 145 00:08:10,400 --> 00:08:12,480 Speaker 1: he grew up like that. Here's a vastly different time, 146 00:08:12,600 --> 00:08:17,520 Speaker 1: but it's such a massively important position that it's just again, 147 00:08:17,760 --> 00:08:20,600 Speaker 1: it makes sense because everybody who had a massively important 148 00:08:20,600 --> 00:08:24,280 Speaker 1: position just came from the fucking swamp and just like 149 00:08:24,720 --> 00:08:26,760 Speaker 1: I need to just I don't want to do anything, 150 00:08:26,800 --> 00:08:29,840 Speaker 1: but I want a job. And like Scott pruittt he 151 00:08:29,880 --> 00:08:31,920 Speaker 1: did a good job of completely fucking up the E 152 00:08:32,000 --> 00:08:34,600 Speaker 1: p A and really laugh about it. But he I mean, 153 00:08:35,240 --> 00:08:39,440 Speaker 1: you would think, because Ben Carson is not traditionally qualified 154 00:08:39,480 --> 00:08:42,880 Speaker 1: for the position, he would be like Scott, like aware 155 00:08:42,960 --> 00:08:45,640 Speaker 1: that people are paying attention to him, and you know, 156 00:08:46,160 --> 00:08:49,320 Speaker 1: like working extra around the clock trying to figure out 157 00:08:49,320 --> 00:08:51,720 Speaker 1: how to get right get it in. I think he's 158 00:08:51,760 --> 00:08:54,560 Speaker 1: smart enough to know, like, I can stay in the 159 00:08:54,679 --> 00:08:57,240 Speaker 1: job if I stay out of the headlines. How do 160 00:08:57,280 --> 00:09:00,400 Speaker 1: I do that by not doing anything? And I'll never 161 00:09:00,520 --> 00:09:03,760 Speaker 1: generate any controversy because I will do nothing. And that 162 00:09:03,880 --> 00:09:07,080 Speaker 1: is precisely what he's been doing. Because we just got 163 00:09:07,440 --> 00:09:10,960 Speaker 1: a thirty one week uh schedule of his to see 164 00:09:10,960 --> 00:09:13,880 Speaker 1: what the funk he's been up to, and my man 165 00:09:14,040 --> 00:09:16,920 Speaker 1: has been doing nothing. That is unfortunately one of the 166 00:09:17,000 --> 00:09:20,679 Speaker 1: more like effective people who have been appointed, because at 167 00:09:20,720 --> 00:09:24,320 Speaker 1: least he hasn't been like imploding it. Yeah, I mean 168 00:09:24,600 --> 00:09:26,959 Speaker 1: nothing is improved and nothing has changed. I mean he's 169 00:09:27,000 --> 00:09:29,520 Speaker 1: definitely had some He's made some shitty decisions on on 170 00:09:29,600 --> 00:09:31,920 Speaker 1: certain things, but not in the aggressive way that will 171 00:09:31,960 --> 00:09:34,760 Speaker 1: be like like policy. People were like, oh, that's fucked up, 172 00:09:35,200 --> 00:09:37,800 Speaker 1: but not like we're prue. It's like, Hi, go get 173 00:09:37,840 --> 00:09:40,800 Speaker 1: this mattress for me, you know, or like can you 174 00:09:40,800 --> 00:09:42,800 Speaker 1: give me those Dean and de Luca like snacks I 175 00:09:42,880 --> 00:09:46,200 Speaker 1: like on the on the Secret Service time. Anyway, So 176 00:09:46,520 --> 00:09:49,240 Speaker 1: they looked at this calendar through a Freedom of Information 177 00:09:49,240 --> 00:09:52,040 Speaker 1: Act request and they basically said, you know, they looked 178 00:09:52,040 --> 00:09:54,240 Speaker 1: at a lot of the fridays. For the most part 179 00:09:54,280 --> 00:09:57,360 Speaker 1: he worked eight or nine hour day, but on Friday's 180 00:09:57,400 --> 00:10:00,520 Speaker 1: baby that he had to keep those days whole because 181 00:10:00,600 --> 00:10:03,079 Speaker 1: my man can't work too much. So they said, when 182 00:10:03,080 --> 00:10:05,199 Speaker 1: they were looking at it, for five of the fridays 183 00:10:05,240 --> 00:10:07,920 Speaker 1: he was off or had no appointments. He had three 184 00:10:07,960 --> 00:10:11,199 Speaker 1: day weekends. Five more fridays he left before two pm 185 00:10:11,280 --> 00:10:13,240 Speaker 1: to get to the airport to fly to South Florida, 186 00:10:13,320 --> 00:10:15,520 Speaker 1: where he owns a four point three million dollar mansion. 187 00:10:16,320 --> 00:10:18,360 Speaker 1: For the remaining six they were looking at, he had 188 00:10:18,360 --> 00:10:21,520 Speaker 1: no scheduled appointments past three pm, and in all, he 189 00:10:21,559 --> 00:10:24,000 Speaker 1: made a dozen weekend trips to South Florida during the 190 00:10:24,000 --> 00:10:27,679 Speaker 1: thirty one weeks. And they also just said, also, you know, 191 00:10:27,880 --> 00:10:31,040 Speaker 1: he only huddled up with Housing and Urban Development senior 192 00:10:31,080 --> 00:10:35,120 Speaker 1: staff once a week, but other departments like Transportation, Treasury, Labor, 193 00:10:35,320 --> 00:10:38,160 Speaker 1: they were doing it either you know, daily or multiple 194 00:10:38,160 --> 00:10:40,480 Speaker 1: times a week, meeting up because you know, he can't 195 00:10:40,480 --> 00:10:44,040 Speaker 1: really be bogged down with work. Uh and just if 196 00:10:44,040 --> 00:10:46,000 Speaker 1: you you know, he liked when he'd have lunch, like 197 00:10:46,000 --> 00:10:47,880 Speaker 1: with one of the authors of like Chicken Soup for 198 00:10:47,880 --> 00:10:50,079 Speaker 1: the Soul, or like the fucking my Pillow guy when 199 00:10:50,080 --> 00:10:54,560 Speaker 1: he was in New York. So he knows my pillow guy. Yeah, yeah, yeah, 200 00:10:54,559 --> 00:10:57,840 Speaker 1: they're they're great friends. And I expected more of my 201 00:10:57,880 --> 00:11:00,520 Speaker 1: pillow guy. Wait, who's the pillow don't know, but if 202 00:11:00,520 --> 00:11:04,240 Speaker 1: he's friends that informers, you've never seen that you've had. Honestly, 203 00:11:04,320 --> 00:11:06,640 Speaker 1: I've had my pillow for years and I love that ship. No, 204 00:11:07,760 --> 00:11:12,640 Speaker 1: my pillow funk with Ben Carson. I love my mind pillow. Well, 205 00:11:12,679 --> 00:11:15,440 Speaker 1: he's also a big Trump dude too. I need to 206 00:11:15,480 --> 00:11:18,400 Speaker 1: be more critical of who I'm buying my pillows from. Yeah, 207 00:11:18,400 --> 00:11:21,360 Speaker 1: but who I mean, he looks so enthusiastic about those pillows. 208 00:11:21,559 --> 00:11:24,480 Speaker 1: He loves those pillows and he makes a great pillow. 209 00:11:24,520 --> 00:11:27,319 Speaker 1: It's hard, it's hard. I mean, look, sacrifices have to 210 00:11:27,320 --> 00:11:30,920 Speaker 1: be a pillows over politics whatever, because you gotta rest 211 00:11:30,960 --> 00:11:34,160 Speaker 1: your head on one. Wasn't there also a controversy where 212 00:11:34,559 --> 00:11:38,400 Speaker 1: they were spending a lot of money on redoing the office, 213 00:11:38,520 --> 00:11:42,480 Speaker 1: Like this is something that never happens, like the that 214 00:11:42,679 --> 00:11:44,680 Speaker 1: the person comes in and it's like we need to 215 00:11:44,679 --> 00:11:47,280 Speaker 1: redesign the ship out of this place. Like it's usually 216 00:11:47,320 --> 00:11:52,000 Speaker 1: a long like like decades in between any redesigns. But 217 00:11:52,160 --> 00:11:55,920 Speaker 1: every Trump person just came in and this isn't gonna 218 00:11:56,080 --> 00:11:57,920 Speaker 1: like I can spend money. Okay, I think he spent 219 00:11:58,320 --> 00:12:00,320 Speaker 1: it was something like he was about to spend already 220 00:12:00,360 --> 00:12:02,840 Speaker 1: thousand dollars on furniture and like one of them was 221 00:12:02,840 --> 00:12:04,960 Speaker 1: like a table that was over ten k or something 222 00:12:05,040 --> 00:12:06,520 Speaker 1: like that. And then he blamed it on his wife. Yeah, 223 00:12:06,520 --> 00:12:08,120 Speaker 1: and then he's like, I don't know my wife, I 224 00:12:08,160 --> 00:12:09,560 Speaker 1: don't even know I was about to do it. Trump 225 00:12:10,440 --> 00:12:13,199 Speaker 1: just you know, she handles that, so you're gonna have 226 00:12:13,200 --> 00:12:17,240 Speaker 1: to ask her. She handles the table budget like passing it. 227 00:12:17,679 --> 00:12:21,240 Speaker 1: She doesn't. Yeah, and then even like after all this, 228 00:12:21,360 --> 00:12:23,640 Speaker 1: like NBC was the one who first reported on this, 229 00:12:24,160 --> 00:12:27,000 Speaker 1: Ben Carson had a reply. He just said, while the 230 00:12:27,120 --> 00:12:29,679 Speaker 1: role of a Cabinet secretary is to advise the president 231 00:12:29,679 --> 00:12:32,200 Speaker 1: and run their agency, the role of NBC seems to 232 00:12:32,200 --> 00:12:36,320 Speaker 1: be spinning incomplete information and misinforming the public. Looks like 233 00:12:36,400 --> 00:12:41,400 Speaker 1: we are both doing our jobs. You got fucking Burnt Oason, Okay, 234 00:12:41,520 --> 00:12:44,600 Speaker 1: the guy who said same sex marriages like best reality. 235 00:12:45,080 --> 00:12:48,840 Speaker 1: So you know, he's he's got along road ahead him. 236 00:12:48,880 --> 00:12:51,600 Speaker 1: But he's actually out in announced fairly quickly. He's like, 237 00:12:51,760 --> 00:12:56,000 Speaker 1: I can't do another term out kids out there who 238 00:12:56,000 --> 00:12:59,520 Speaker 1: need brain surgery again. Yeah, So you know, I hope 239 00:12:59,559 --> 00:13:03,160 Speaker 1: I hoped Dr Ben can focus on that. That is 240 00:13:03,200 --> 00:13:06,760 Speaker 1: wild that he is such a because not only is 241 00:13:06,800 --> 00:13:10,520 Speaker 1: he taking the job of somebody competent who should be 242 00:13:10,559 --> 00:13:13,840 Speaker 1: doing that job, but he's removing himself from the field 243 00:13:14,000 --> 00:13:19,360 Speaker 1: of pediatric neurosurgeons, which he's reportedly competent in. So he's 244 00:13:19,400 --> 00:13:23,360 Speaker 1: like fucking two jobs like I never thought about. Uh 245 00:13:23,400 --> 00:13:25,480 Speaker 1: so go back to what you're good at, man. Sadly, 246 00:13:25,480 --> 00:13:30,720 Speaker 1: we're like, go back to brain surgeon. Surgeons are very 247 00:13:30,960 --> 00:13:35,160 Speaker 1: specific set of skills. I don't I don't mean to 248 00:13:35,200 --> 00:13:37,640 Speaker 1: sound like Liam Neeson, but it's like it's more like 249 00:13:37,720 --> 00:13:41,160 Speaker 1: fighter pilot than like genius. It's like you have to 250 00:13:41,360 --> 00:13:47,440 Speaker 1: be good at intense situation. Podracer, right, it's very similar. Yeah, 251 00:13:47,559 --> 00:13:50,720 Speaker 1: pod Racer is a good Bulba. He was great with 252 00:13:50,800 --> 00:13:52,920 Speaker 1: his hands. Thank you for putting it in terms of 253 00:13:53,440 --> 00:14:02,679 Speaker 1: fantom is Ben carsonbul Speaking of inequality, we wanted to 254 00:14:02,720 --> 00:14:05,840 Speaker 1: take another look at the college admission scandal. Uh. The 255 00:14:05,920 --> 00:14:11,200 Speaker 1: scandal has an addition to just being hilarious source of 256 00:14:11,240 --> 00:14:16,959 Speaker 1: hilarious details about rich people's dumb children, has shown a 257 00:14:17,080 --> 00:14:19,880 Speaker 1: light on just how fucked up the emission system is, 258 00:14:19,960 --> 00:14:23,560 Speaker 1: which is something that I was kind of aware of, 259 00:14:23,600 --> 00:14:26,000 Speaker 1: like from a very young age, like how the emissions 260 00:14:26,080 --> 00:14:29,200 Speaker 1: process worked, and so I don't know, I hadn't really 261 00:14:29,240 --> 00:14:31,440 Speaker 1: taken a step back and been like, oh, this doesn't 262 00:14:31,480 --> 00:14:35,400 Speaker 1: make sense as a like part of an egalitarian like 263 00:14:35,560 --> 00:14:40,320 Speaker 1: or like meritocratic society, like this shouldn't be how things work. 264 00:14:41,000 --> 00:14:43,960 Speaker 1: But this story has helped, I think, bring people's attention 265 00:14:44,040 --> 00:14:48,200 Speaker 1: to just what bullshit the actual emissions processes, as well 266 00:14:48,240 --> 00:14:52,720 Speaker 1: as the um some of the details of the affirmative 267 00:14:52,760 --> 00:14:57,040 Speaker 1: action case that was being brought against Harvard already, because 268 00:14:57,480 --> 00:15:04,680 Speaker 1: it's being alleged that Harvard weights admissions against Asian students. 269 00:15:04,720 --> 00:15:08,560 Speaker 1: But the one big takeaway I have is white conservatives 270 00:15:08,600 --> 00:15:12,120 Speaker 1: have complained that minority students have an advantage, but the 271 00:15:12,280 --> 00:15:16,320 Speaker 1: more you look holistically at the overall way that the 272 00:15:16,360 --> 00:15:21,120 Speaker 1: admissions process works, it's more accurately described as like an 273 00:15:21,200 --> 00:15:25,200 Speaker 1: extremely inadequate attempt to try and compensate for all of 274 00:15:25,240 --> 00:15:29,920 Speaker 1: the extremely unfair advantages that rich white kids have. Because 275 00:15:30,120 --> 00:15:33,040 Speaker 1: that's like there has been articles in The Atlantic that 276 00:15:33,080 --> 00:15:37,400 Speaker 1: talks about how college athletes is basically affirmative action for 277 00:15:37,520 --> 00:15:40,680 Speaker 1: rich white kids, because when you picture college athletes, you're 278 00:15:40,680 --> 00:15:45,200 Speaker 1: picturing you know, like UK's basketball team or you know, uh, 279 00:15:45,240 --> 00:15:50,600 Speaker 1: like really popular, widely viewed college athletics. But most college 280 00:15:50,640 --> 00:15:55,480 Speaker 1: athletes are like playing lacrosse and crew and sailing and squash, 281 00:15:54,920 --> 00:15:59,360 Speaker 1: and it's just the sports that only rich white families 282 00:15:59,400 --> 00:16:01,600 Speaker 1: have access us too, And it's just a way to 283 00:16:02,520 --> 00:16:06,920 Speaker 1: get kids into school like Harvard. I think you're like 284 00:16:07,080 --> 00:16:11,120 Speaker 1: a thousand times more likely to get in with equivalent 285 00:16:11,240 --> 00:16:14,600 Speaker 1: qualifications if the squash team says they want you or 286 00:16:14,640 --> 00:16:17,760 Speaker 1: something like or any athletics. Oh, just but to have 287 00:16:17,800 --> 00:16:19,480 Speaker 1: that little sign off, it's like, oh, there you go, 288 00:16:19,600 --> 00:16:23,560 Speaker 1: exponential rise. Yeah, it seemed like it was a clear formula, 289 00:16:23,680 --> 00:16:25,320 Speaker 1: like at the turn back in the turn of the 290 00:16:25,400 --> 00:16:29,000 Speaker 1: century when we were applying to colleges of sort of 291 00:16:29,000 --> 00:16:31,280 Speaker 1: the idea of like we need good grades, you know, 292 00:16:31,360 --> 00:16:35,040 Speaker 1: extracurriculars and these other things, and it still was seemingly 293 00:16:35,120 --> 00:16:37,960 Speaker 1: seemed like there was a you had a fair shot. 294 00:16:38,640 --> 00:16:41,080 Speaker 1: And I think it was starting to not that it 295 00:16:41,160 --> 00:16:43,760 Speaker 1: was equally fair, but it wasn't as in our face 296 00:16:43,840 --> 00:16:46,600 Speaker 1: how completely fucked the system was, because I think there 297 00:16:46,640 --> 00:16:49,920 Speaker 1: were enough people still like college is somewhat affordable or 298 00:16:50,000 --> 00:16:51,800 Speaker 1: it was just in the beginnings of it going off 299 00:16:51,800 --> 00:16:55,240 Speaker 1: a cliff, but like it was able to still create 300 00:16:55,280 --> 00:16:58,640 Speaker 1: this like myth of it being fair in a sense. 301 00:16:58,960 --> 00:17:00,560 Speaker 1: And then as the years ago one you see the 302 00:17:00,560 --> 00:17:02,920 Speaker 1: prices come up and you see how like these kinds 303 00:17:02,920 --> 00:17:05,040 Speaker 1: of things are weighted, and like what the makeups are 304 00:17:05,040 --> 00:17:08,080 Speaker 1: of the different classes and the admissions. You're like, like, 305 00:17:08,200 --> 00:17:12,480 Speaker 1: it's not even like education anymore. It's just merely can 306 00:17:12,520 --> 00:17:15,639 Speaker 1: you get into this next phase of your life that 307 00:17:15,680 --> 00:17:18,040 Speaker 1: will help ensure that you're part of a certain class. Yeah, 308 00:17:18,040 --> 00:17:20,640 Speaker 1: it's like they're like shopping for the name brand colleges 309 00:17:20,720 --> 00:17:23,040 Speaker 1: almost and and it is that way with rich people 310 00:17:23,040 --> 00:17:25,040 Speaker 1: because it just used to be more interact. You pay 311 00:17:25,119 --> 00:17:28,360 Speaker 1: for the really good admissions like you know, um, tutoring 312 00:17:28,359 --> 00:17:30,280 Speaker 1: and all that, and but now they're just literally buying 313 00:17:30,320 --> 00:17:33,879 Speaker 1: their themselves in. And the funny thing to me is 314 00:17:33,920 --> 00:17:35,919 Speaker 1: that a lot of the school is that people were 315 00:17:35,920 --> 00:17:38,000 Speaker 1: paying like hundreds of thousands to get into where like 316 00:17:38,520 --> 00:17:40,280 Speaker 1: I mean, there's also obviously the ivs and stuff. But 317 00:17:40,280 --> 00:17:41,800 Speaker 1: then they're just a bunch of schools that are like, 318 00:17:41,880 --> 00:17:44,560 Speaker 1: they're not bad, but they're not like what I would think. 319 00:17:46,200 --> 00:17:49,960 Speaker 1: A lot of them more and eyes almost No, none 320 00:17:50,000 --> 00:17:51,360 Speaker 1: of them were bad, so I have to say they're 321 00:17:51,359 --> 00:17:53,160 Speaker 1: all great schools. But like I went to high school 322 00:17:53,160 --> 00:17:55,679 Speaker 1: and Paul Alto where they were also very overly in 323 00:17:55,680 --> 00:17:58,679 Speaker 1: a negative way. Um and and there's an emphasis on 324 00:17:58,720 --> 00:18:01,800 Speaker 1: getting into college and so not from my perspective, but 325 00:18:01,880 --> 00:18:05,240 Speaker 1: for as a general, like guys at my high school, 326 00:18:05,280 --> 00:18:07,960 Speaker 1: some of these schools were considered safety schools that people 327 00:18:07,960 --> 00:18:11,440 Speaker 1: were paying get to, like you know, and I won't 328 00:18:11,520 --> 00:18:13,200 Speaker 1: name them because I'm going to get so much hate. 329 00:18:13,240 --> 00:18:15,040 Speaker 1: But I'm not saying me. I mean, I went to 330 00:18:15,080 --> 00:18:18,119 Speaker 1: a safety school, but uh, you went to safety school. 331 00:18:18,160 --> 00:18:20,320 Speaker 1: I went to, say very safe. It's right in New 332 00:18:20,400 --> 00:18:22,639 Speaker 1: York City, safest city in the world. No, But I 333 00:18:22,760 --> 00:18:25,080 Speaker 1: just funny because it's like, already on that level, the 334 00:18:25,200 --> 00:18:27,880 Speaker 1: rich people are like paying to just try to get 335 00:18:27,920 --> 00:18:32,199 Speaker 1: into like not mediocre but like an okay school, not 336 00:18:32,280 --> 00:18:34,880 Speaker 1: the most elite, but instead of just working because it's 337 00:18:35,040 --> 00:18:37,840 Speaker 1: pretty attainable, instead of just doing the work, and with 338 00:18:37,880 --> 00:18:40,000 Speaker 1: all the resources they have, they could have just done 339 00:18:40,000 --> 00:18:43,000 Speaker 1: the work and probably got in, and they refused to 340 00:18:43,040 --> 00:18:45,720 Speaker 1: do that. Then it's but then it shows you that 341 00:18:45,720 --> 00:18:48,159 Speaker 1: there's even levels to that sort of wealth, because if 342 00:18:48,200 --> 00:18:50,480 Speaker 1: you're super wealthy, then you just pay for the to 343 00:18:50,560 --> 00:18:53,679 Speaker 1: make the multimillion dollar donation to the school, and you're 344 00:18:53,720 --> 00:18:55,560 Speaker 1: going through the front, you buy a wing of the 345 00:18:55,600 --> 00:18:58,920 Speaker 1: hospital exactly, now your kids in or whatever, and now 346 00:18:58,920 --> 00:19:01,199 Speaker 1: it's like, well, we don't have like ninety million like 347 00:19:01,280 --> 00:19:03,920 Speaker 1: expendable income with like tens of millions, but we got 348 00:19:04,000 --> 00:19:07,080 Speaker 1: a little couple k to pay some like grimy coach 349 00:19:07,160 --> 00:19:09,120 Speaker 1: to say there. It's funny that they think they're at 350 00:19:09,119 --> 00:19:12,080 Speaker 1: a disadvantage compared to minorities, and it's like, you know why, 351 00:19:12,240 --> 00:19:14,159 Speaker 1: Like like I was a kind of a nerd in 352 00:19:14,200 --> 00:19:16,760 Speaker 1: high school because all the cool kids were hanging out, 353 00:19:16,840 --> 00:19:18,480 Speaker 1: you know. So like if you're a rich white kid, 354 00:19:18,560 --> 00:19:19,800 Speaker 1: not that you have to be white, but a lot 355 00:19:19,800 --> 00:19:21,960 Speaker 1: of these people are. If you're rich white quid having 356 00:19:22,000 --> 00:19:23,840 Speaker 1: all the parties and you're not inviting the minorities and 357 00:19:23,880 --> 00:19:25,879 Speaker 1: you're being exclusive, well guess what they're doing when they 358 00:19:25,920 --> 00:19:28,679 Speaker 1: can't party with you. They're studying because they have no 359 00:19:28,840 --> 00:19:32,600 Speaker 1: other choice. All I'm saying is I would have partied. 360 00:19:32,720 --> 00:19:34,720 Speaker 1: I would have thrown my grades away if you guys 361 00:19:34,760 --> 00:19:36,919 Speaker 1: just gave me a chance, okay, and you could have 362 00:19:36,960 --> 00:19:40,160 Speaker 1: taken my spot in my mediocre safety could be here, 363 00:19:41,520 --> 00:19:44,160 Speaker 1: invited me to your cool party, and I could have been. Yeah, 364 00:19:44,160 --> 00:19:45,760 Speaker 1: I could have been that party, and I would have 365 00:19:45,800 --> 00:19:49,040 Speaker 1: pierced my belly button to So I just studied instead, Okay, 366 00:19:49,040 --> 00:19:51,600 Speaker 1: And that's why I got smarter. But one of the 367 00:19:51,640 --> 00:19:54,760 Speaker 1: details that kind of put this into perspective for me 368 00:19:54,840 --> 00:19:58,959 Speaker 1: is that Harvard has more legacy students. Legacy students make 369 00:19:59,040 --> 00:20:03,600 Speaker 1: up around fourteen percent of the undergraduate population than black students, 370 00:20:03,840 --> 00:20:07,360 Speaker 1: who make up six percent of the Harvard population. So 371 00:20:07,840 --> 00:20:09,960 Speaker 1: like that just shows what they're looking out for, what 372 00:20:10,080 --> 00:20:14,399 Speaker 1: they're actually interested in building out, what's building out people 373 00:20:14,480 --> 00:20:18,359 Speaker 1: who are willing to help them achieve their goal of 374 00:20:18,400 --> 00:20:22,800 Speaker 1: going from like a three billion dollar endowment to like 375 00:20:22,880 --> 00:20:25,000 Speaker 1: a four billion dollar I don't even know. It's like 376 00:20:25,119 --> 00:20:29,080 Speaker 1: their endowments of these schools are absolutely absurd. And that's 377 00:20:29,160 --> 00:20:32,640 Speaker 1: the only way that I can think that they are 378 00:20:32,760 --> 00:20:36,760 Speaker 1: justifying the addition of a legacy students. What do you 379 00:20:36,800 --> 00:20:39,600 Speaker 1: need to be considered legacy just one parent to parents, 380 00:20:39,600 --> 00:20:43,160 Speaker 1: three family member that anybody then I think it has 381 00:20:43,200 --> 00:20:45,600 Speaker 1: to be parents though, right, it can't be like an uncle, yeah, 382 00:20:45,600 --> 00:20:48,119 Speaker 1: and that's not counting like all these you know, people 383 00:20:48,119 --> 00:20:50,560 Speaker 1: who just have an uncle or a friend or like 384 00:20:50,600 --> 00:20:53,399 Speaker 1: a friend of a friend who like right right right 385 00:20:53,480 --> 00:20:55,840 Speaker 1: right right, the provost or whatever. The fun Yeah, because 386 00:20:55,840 --> 00:20:57,639 Speaker 1: it just shows you, I mean, like it's like anything, 387 00:20:57,640 --> 00:21:00,360 Speaker 1: it's like wealth that like they're even trying to put 388 00:21:00,400 --> 00:21:03,880 Speaker 1: up safeguards against other people getting into it, but it's like, oh, 389 00:21:04,000 --> 00:21:07,200 Speaker 1: you can you can access as generationally if you're trying 390 00:21:07,200 --> 00:21:09,400 Speaker 1: to do it the other way, what's harder for you? 391 00:21:09,600 --> 00:21:12,880 Speaker 1: What do we tend to just like pick everybody who's 392 00:21:12,920 --> 00:21:16,000 Speaker 1: already been around here. But I mean that's the thing, 393 00:21:16,119 --> 00:21:20,160 Speaker 1: is like the educational theory and like all of these 394 00:21:20,240 --> 00:21:24,879 Speaker 1: like you know, really advanced, like academics have known for 395 00:21:24,920 --> 00:21:28,240 Speaker 1: a long time that the best thing for a person's 396 00:21:28,320 --> 00:21:31,840 Speaker 1: education is like diversity, and like people with a diversity 397 00:21:31,840 --> 00:21:35,560 Speaker 1: of backgrounds, economically, racially, like all of these things. But 398 00:21:35,680 --> 00:21:38,480 Speaker 1: they're saying, like the thing that makes these schools so 399 00:21:38,600 --> 00:21:42,240 Speaker 1: stubbornly rich and white is legacy. Like it's just legacy. 400 00:21:42,320 --> 00:21:45,639 Speaker 1: But that just never gets brought up as like, well, 401 00:21:45,960 --> 00:21:49,960 Speaker 1: you know, why do we Why is that a thing 402 00:21:50,000 --> 00:21:52,520 Speaker 1: at all? Like that feels like one of those things 403 00:21:52,520 --> 00:21:55,280 Speaker 1: that hopefully in a generation, everyone's gonna be like, holy 404 00:21:55,320 --> 00:21:57,600 Speaker 1: sh it, you guys did that. That's how things were. 405 00:21:58,560 --> 00:22:00,359 Speaker 1: It should be that, Like there's one our It was 406 00:22:00,359 --> 00:22:02,600 Speaker 1: like legacy shouldn't count against you, but it shouldn't count 407 00:22:02,640 --> 00:22:04,560 Speaker 1: for you. So like, if you're born into a family 408 00:22:04,920 --> 00:22:07,800 Speaker 1: that has, you know, a good work ethic, and your 409 00:22:07,840 --> 00:22:10,080 Speaker 1: parents study to get into Harvard and and you were 410 00:22:10,080 --> 00:22:12,959 Speaker 1: taught with the same values, then it should be like 411 00:22:13,080 --> 00:22:15,560 Speaker 1: indirectly easier for you to get in because you've learned 412 00:22:15,600 --> 00:22:18,440 Speaker 1: from them and learned from their experience, but it shouldn't. 413 00:22:18,680 --> 00:22:21,560 Speaker 1: You shouldn't get weighted extra because your legacy, if anything, 414 00:22:21,560 --> 00:22:26,320 Speaker 1: should be blind and and most likely, if most likely, 415 00:22:26,359 --> 00:22:28,280 Speaker 1: a lot of um the genes will pass on to 416 00:22:28,320 --> 00:22:30,280 Speaker 1: at least half of those students, so some of those legacies, 417 00:22:30,320 --> 00:22:32,919 Speaker 1: some of those kids will be legacy anyways. But they 418 00:22:32,920 --> 00:22:35,680 Speaker 1: shouldn't never feel guilty not giving you a spot. Like I, 419 00:22:35,680 --> 00:22:37,760 Speaker 1: I didn't get into Stanford. My parents both went there, 420 00:22:37,760 --> 00:22:45,840 Speaker 1: and they sent a letter to apologize because yeah, because 421 00:22:45,920 --> 00:22:48,560 Speaker 1: I was a legacy but I but I didn't and 422 00:22:48,600 --> 00:22:50,479 Speaker 1: I didn't expect again and I didn't have the grades, 423 00:22:50,520 --> 00:22:53,359 Speaker 1: but I, um uh. It still was interesting to get 424 00:22:53,400 --> 00:22:54,760 Speaker 1: that because I was like, oh, that's right. I guess 425 00:22:54,800 --> 00:22:56,679 Speaker 1: I'm a legacy and I'm you know, they don't really 426 00:22:56,760 --> 00:22:59,680 Speaker 1: donate to it, so they wouldn't have weighted me any differently. 427 00:23:00,000 --> 00:23:01,680 Speaker 1: But think about all the kids who do and they're 428 00:23:01,720 --> 00:23:04,200 Speaker 1: getting like these letters they send out is a way 429 00:23:04,240 --> 00:23:06,400 Speaker 1: to keep people in the family and keep them donating, 430 00:23:06,720 --> 00:23:09,119 Speaker 1: to just be like your special, don't worry, we couldn't 431 00:23:09,119 --> 00:23:10,879 Speaker 1: give you a spot, but like we still want your 432 00:23:10,920 --> 00:23:15,119 Speaker 1: parents to donate. Legacy students are so we have all 433 00:23:15,160 --> 00:23:18,440 Speaker 1: this information about Harvard's admissions because they are specifically who 434 00:23:18,520 --> 00:23:21,080 Speaker 1: is getting sued. And you know, they were able to 435 00:23:21,119 --> 00:23:23,720 Speaker 1: do a statistical analysis of like who gets in based 436 00:23:23,720 --> 00:23:27,119 Speaker 1: on what grades and legacy students are five times likelier 437 00:23:27,160 --> 00:23:30,640 Speaker 1: to get into Harvard. But they said that Stanford. That's 438 00:23:30,680 --> 00:23:32,640 Speaker 1: not true at all, So don't worry about it. I know, 439 00:23:34,760 --> 00:23:36,639 Speaker 1: all right, we're gonna take a quick break. We'll be 440 00:23:36,760 --> 00:23:48,920 Speaker 1: right back. And we're back, and Devin Nunez is back 441 00:23:48,920 --> 00:23:54,800 Speaker 1: in the headlines. He is suing his mom. Okay, sorry 442 00:23:55,000 --> 00:23:57,560 Speaker 1: I missed, right. I guess I didn't do enough research 443 00:23:57,600 --> 00:24:03,320 Speaker 1: on this story. He's suing Twitter for fifty dollars. Okay, 444 00:24:03,359 --> 00:24:08,000 Speaker 1: that makes sense, right, because he thinks that Twitter was 445 00:24:08,400 --> 00:24:14,040 Speaker 1: artificially holding him down. And Heweta he shadow band. Yeah yeah, 446 00:24:14,080 --> 00:24:16,920 Speaker 1: he's what he claims, which is the most like sensible 447 00:24:17,000 --> 00:24:19,400 Speaker 1: part of his suit. The other parts of his suit 448 00:24:19,440 --> 00:24:21,720 Speaker 1: are like, people were mean to me on Twitter. People 449 00:24:21,760 --> 00:24:24,040 Speaker 1: tweeted at my mom. Well no, no, So here's the thing. 450 00:24:24,040 --> 00:24:27,639 Speaker 1: He's suing Twitter, and then he's suing two anonymous Twitter 451 00:24:27,720 --> 00:24:33,040 Speaker 1: users at Devin nonez mom and at Devon's cow. It's 452 00:24:33,080 --> 00:24:36,240 Speaker 1: not my cow. A political consultant here name is Liz Mayer, 453 00:24:36,320 --> 00:24:38,959 Speaker 1: who's a Republican political consultant for and like all these 454 00:24:39,000 --> 00:24:41,000 Speaker 1: accounts in this woman Liz Merit. He's suing them for 455 00:24:41,040 --> 00:24:44,719 Speaker 1: defamation and then accusing Twitter of shadow baning him and 456 00:24:44,800 --> 00:24:47,439 Speaker 1: other conservatives, and then he's just saying like, oh, this 457 00:24:47,520 --> 00:24:49,560 Speaker 1: is just the beginning. I am suing so many people. 458 00:24:49,800 --> 00:24:52,040 Speaker 1: A lot of people are like, this is just a stunt, 459 00:24:52,160 --> 00:24:54,800 Speaker 1: because let's be real, this isn't gonna hold up. Like 460 00:24:55,080 --> 00:24:57,840 Speaker 1: it's They're not the first person to sue Twitter, right exactly. 461 00:24:57,880 --> 00:25:00,760 Speaker 1: And also for defamation, you think people it has to pass. 462 00:25:00,800 --> 00:25:02,640 Speaker 1: The first thing where people would be like, oh, this 463 00:25:02,720 --> 00:25:05,840 Speaker 1: is at Devin Noone's mom is actually at Devon noonezs 464 00:25:05,920 --> 00:25:08,600 Speaker 1: mom who says he has her face, you know what 465 00:25:08,680 --> 00:25:12,560 Speaker 1: I mean. And when you read the mother and this 466 00:25:12,640 --> 00:25:16,320 Speaker 1: is a dead on impression my mother, there is no way, right, 467 00:25:16,640 --> 00:25:18,479 Speaker 1: And so it goes on, you know, more specifically, he's 468 00:25:18,480 --> 00:25:21,720 Speaker 1: saying that Twitter quote intended to generate and proliferate false 469 00:25:21,760 --> 00:25:25,119 Speaker 1: and defamatory statements about him and influence the midterms, was 470 00:25:25,160 --> 00:25:29,240 Speaker 1: trying to intimidate him. Uh, you know, during his investigations blah, 471 00:25:29,280 --> 00:25:31,960 Speaker 1: blah blah. Everyone's just sort of laughing it off. Now, 472 00:25:32,400 --> 00:25:34,400 Speaker 1: Like when you really look at some of the things, right, 473 00:25:34,480 --> 00:25:37,120 Speaker 1: it's really absurd, Like Devin Noon his mom or Devin 474 00:25:37,200 --> 00:25:40,199 Speaker 1: cow I can't remember. One of the anonymous account posted 475 00:25:40,240 --> 00:25:42,600 Speaker 1: like a meme of like a human centipede with putin 476 00:25:42,640 --> 00:25:45,320 Speaker 1: at that at the top, than Trump, than Devin nonez, 477 00:25:45,320 --> 00:25:47,280 Speaker 1: and he was like, oh, this is this is defamatory. 478 00:25:47,480 --> 00:25:49,919 Speaker 1: They're like, are you actually y'all hooked up in a 479 00:25:49,960 --> 00:25:53,800 Speaker 1: weird medical experiment like that? Um? Then he points there's 480 00:25:53,800 --> 00:25:56,480 Speaker 1: like points to tweets like from at Devon cow Sadly 481 00:25:56,480 --> 00:25:58,800 Speaker 1: it says hanging out on the dairy in Iowa looking 482 00:25:58,800 --> 00:26:01,399 Speaker 1: for the little treason this outpoke is that is the 483 00:26:01,480 --> 00:26:06,320 Speaker 1: bio of Devin cow Um, which has followers. And another 484 00:26:06,320 --> 00:26:10,119 Speaker 1: one says Devin's boots are full of manure. Oh boy, god, 485 00:26:10,480 --> 00:26:13,560 Speaker 1: you might go to jail, sir, might report that his 486 00:26:13,640 --> 00:26:16,639 Speaker 1: boots are full of Yeah. This other one he's utterly 487 00:26:16,960 --> 00:26:21,280 Speaker 1: worthless and it's past your time to move him to prison. 488 00:26:21,960 --> 00:26:25,600 Speaker 1: Deserves being sued and that's bad. Yeah, well so these 489 00:26:25,600 --> 00:26:28,320 Speaker 1: people are not I don't think you got it so moved. 490 00:26:29,760 --> 00:26:32,840 Speaker 1: Does that change anything? Still terrible. Yeah, okay, lazy. But 491 00:26:33,240 --> 00:26:35,560 Speaker 1: so he's going on, you know, saying, we gotta we 492 00:26:35,600 --> 00:26:38,479 Speaker 1: have to figure out who's behind these accounts because like 493 00:26:38,880 --> 00:26:42,280 Speaker 1: pretending to be my mother and my cow. And he says, 494 00:26:42,359 --> 00:26:45,479 Speaker 1: because quote, the corruption of American democracy and society by 495 00:26:45,480 --> 00:26:49,760 Speaker 1: intentional falsehoods, fraud, and defamation must stop. So I'm so 496 00:26:49,800 --> 00:26:52,640 Speaker 1: glad that the handle at Devin Nun's mom is making 497 00:26:52,640 --> 00:26:54,600 Speaker 1: it into a court talk. I know, but in the 498 00:26:54,640 --> 00:26:57,199 Speaker 1: actual criminal and the complaint in the lawsuit says, the 499 00:26:57,240 --> 00:26:59,320 Speaker 1: identity of those behind these Twitter accounts is a matter 500 00:26:59,359 --> 00:27:01,760 Speaker 1: of great public concerned whether the accounts are controlled by 501 00:27:01,800 --> 00:27:05,680 Speaker 1: wealthy Democrats, the Democratic National Committee and opposition research firm 502 00:27:05,840 --> 00:27:10,240 Speaker 1: such as Fusion GPS. I don't know what he's trying 503 00:27:10,240 --> 00:27:12,120 Speaker 1: to see this, trying to connect this to the steel. 504 00:27:12,600 --> 00:27:14,439 Speaker 1: The d n C is not this good at Twitter. 505 00:27:14,520 --> 00:27:18,040 Speaker 1: It's definitely not that. And then then says or quote 506 00:27:18,200 --> 00:27:21,960 Speaker 1: the Russians or quote the Chinese with quote I don't 507 00:27:21,960 --> 00:27:24,720 Speaker 1: know why it's quoted, or some other foreign government or 508 00:27:24,760 --> 00:27:27,639 Speaker 1: non governmental organization. The coruption anyway goes on blah blah blah. 509 00:27:27,920 --> 00:27:29,480 Speaker 1: So I like that he's even trying to be like, 510 00:27:29,520 --> 00:27:31,480 Speaker 1: could be Fusian GPS. I don't know, y'all, Yo, I 511 00:27:31,520 --> 00:27:33,600 Speaker 1: don't know. I think the Koch brothers are tweeting at me. 512 00:27:34,720 --> 00:27:39,320 Speaker 1: It's it's really really but it's a pathetic one. Yeah. 513 00:27:39,359 --> 00:27:42,280 Speaker 1: And also like when you look at when he talks about, oh, 514 00:27:42,440 --> 00:27:44,560 Speaker 1: you know, I'm getting shadow band, like you know, when 515 00:27:44,560 --> 00:27:46,719 Speaker 1: when you actually look at like why the metrics are 516 00:27:46,760 --> 00:27:50,040 Speaker 1: low for certain people. Twitter has an algorithm in the 517 00:27:50,080 --> 00:27:53,480 Speaker 1: wake of all the bottery that was going on that 518 00:27:53,680 --> 00:27:56,560 Speaker 1: when you interact at the bottery, thank you, when you're 519 00:27:56,600 --> 00:27:59,480 Speaker 1: when people interact with fringe accounts what they consider fringe accounts, 520 00:27:59,480 --> 00:28:03,560 Speaker 1: repeatedly they say, oh, that's someone who's interacting with sensational 521 00:28:03,760 --> 00:28:06,240 Speaker 1: fake news, and it's probably like, this isn't the kind 522 00:28:06,240 --> 00:28:09,520 Speaker 1: of user that it's. That's sort of a safe fail 523 00:28:09,560 --> 00:28:11,040 Speaker 1: safe to be like, that's how we're going to try 524 00:28:11,080 --> 00:28:14,399 Speaker 1: and curb it, because interacting with accounts that are you 525 00:28:14,400 --> 00:28:17,240 Speaker 1: couldn't just remove the Nazis. That would be crazy, of course, 526 00:28:17,320 --> 00:28:19,520 Speaker 1: god right, but they did real good at getting rid 527 00:28:19,520 --> 00:28:21,879 Speaker 1: of all those ices accounts. So if you're interacting with bots, 528 00:28:21,880 --> 00:28:25,360 Speaker 1: you get flagged. And yeah, because so many conservative accounts 529 00:28:25,359 --> 00:28:29,879 Speaker 1: are bots, and because they are parading their followers or 530 00:28:29,960 --> 00:28:33,159 Speaker 1: retweeting bought tweets, then they're like, oh, you're trying to 531 00:28:33,200 --> 00:28:38,880 Speaker 1: amplify this user. Yeah, but but avoiding even considering that 532 00:28:38,920 --> 00:28:40,000 Speaker 1: and just being like, oh, I mean look at what 533 00:28:40,000 --> 00:28:43,040 Speaker 1: look at was that we're getting deep stated, right? Yeah? Yeah, 534 00:28:43,080 --> 00:28:49,120 Speaker 1: because as your day going deep state step, someone's pretending 535 00:28:49,120 --> 00:28:53,880 Speaker 1: to be my cow, I mean real cow is furious. 536 00:28:54,640 --> 00:28:57,320 Speaker 1: A journalist tried to look into there. There was something 537 00:28:57,360 --> 00:29:01,200 Speaker 1: with Devin Duing is this family claiming to be from California, 538 00:29:01,680 --> 00:29:04,280 Speaker 1: but they actually own a dairy farm that they had 539 00:29:04,320 --> 00:29:08,880 Speaker 1: moved to I think Iowa or Idaho, And a journalist 540 00:29:08,880 --> 00:29:11,240 Speaker 1: tried to look into it and Devon doing his actual 541 00:29:11,320 --> 00:29:15,360 Speaker 1: mom and his actual cow like tried to intimidate this 542 00:29:15,440 --> 00:29:18,680 Speaker 1: person and basically like start talking to people in the 543 00:29:18,720 --> 00:29:21,560 Speaker 1: town to like tell them that they would be like 544 00:29:21,720 --> 00:29:24,200 Speaker 1: in trouble. It was like very like menacing. They were 545 00:29:24,280 --> 00:29:27,719 Speaker 1: like shadowing him everywhere and ship like. So the stuff 546 00:29:27,720 --> 00:29:31,840 Speaker 1: that again just you always have to know whatever conservatives 547 00:29:31,880 --> 00:29:36,040 Speaker 1: are accusing other people of, like that is what they do, uh, 548 00:29:36,080 --> 00:29:41,040 Speaker 1: and bullying in real life yeatly and also like when 549 00:29:41,080 --> 00:29:42,960 Speaker 1: you think about that dairy farm, there's a lot of 550 00:29:43,080 --> 00:29:46,640 Speaker 1: you know, they're like they may be employing undocumented immigrants. Yeah, 551 00:29:46,640 --> 00:29:49,280 Speaker 1: that was kind of the idea behind the story is 552 00:29:49,360 --> 00:29:53,280 Speaker 1: he was going to look too, so this family just 553 00:29:53,360 --> 00:29:56,040 Speaker 1: doesn't ever talk about the fact that Devon Doings is 554 00:29:56,080 --> 00:29:58,800 Speaker 1: their son, like they it's just like removed from all 555 00:29:58,840 --> 00:30:01,480 Speaker 1: their documents. And he was like his mom's shared Yeah. Yeah, 556 00:30:01,600 --> 00:30:04,520 Speaker 1: so he went and looked into it, and no, wonder 557 00:30:06,240 --> 00:30:08,080 Speaker 1: it's because he's first of all, and the family was 558 00:30:08,120 --> 00:30:11,240 Speaker 1: not actually in California where he claims. And also his 559 00:30:11,320 --> 00:30:14,200 Speaker 1: back story about like being a pull himself up as 560 00:30:14,200 --> 00:30:17,480 Speaker 1: his bootstraps thing is bullshit. And also they employed tons 561 00:30:17,520 --> 00:30:22,640 Speaker 1: of undocumented workers. And that's the paradoxical, uh, you know 562 00:30:22,840 --> 00:30:24,960 Speaker 1: world we live in where people on one hand going 563 00:30:25,000 --> 00:30:26,560 Speaker 1: to be like, oh, we gotta do something about this, 564 00:30:26,640 --> 00:30:31,160 Speaker 1: like and they're my employees. Yeah. California, California Republicans and 565 00:30:31,320 --> 00:30:33,440 Speaker 1: farm owners got a little bit of a bite in 566 00:30:33,480 --> 00:30:36,200 Speaker 1: the ass from from voting for Trump. They were like, 567 00:30:36,200 --> 00:30:38,080 Speaker 1: wait a second, Wait a second, I thought you were 568 00:30:38,080 --> 00:30:41,040 Speaker 1: going to take away the other the other illegal immigrant, 569 00:30:41,080 --> 00:30:44,120 Speaker 1: not the ones that I there's other ones, the ones 570 00:30:44,200 --> 00:30:48,800 Speaker 1: at the border that are the rape ones, not that 571 00:30:49,400 --> 00:30:55,000 Speaker 1: all my all, my chattel. Yeah, it's really it's really 572 00:30:55,080 --> 00:30:59,720 Speaker 1: just it's pretty funny. Really yeah, no, honestly it is. 573 00:30:59,800 --> 00:31:03,040 Speaker 1: And just to see the like response from his family 574 00:31:03,040 --> 00:31:05,560 Speaker 1: to be like we try to keep them. I mean, 575 00:31:05,680 --> 00:31:09,520 Speaker 1: nothing says you know, I murdered Devon's brothers and buried 576 00:31:09,520 --> 00:31:11,920 Speaker 1: them in the cow shed, like following around a reporter 577 00:31:12,000 --> 00:31:14,200 Speaker 1: and being like, no thing's going on here, but you 578 00:31:14,280 --> 00:31:17,400 Speaker 1: just go and if you talk, you're in trouble. Yeah yeah, yeah, 579 00:31:18,200 --> 00:31:23,560 Speaker 1: very normal family. Yeah, alright, guys, let's talk about soda 580 00:31:23,800 --> 00:31:29,680 Speaker 1: sody pop where you're from? What century? Because nobody calls 581 00:31:29,680 --> 00:31:34,800 Speaker 1: it sody popping, but so s sbs is what we're 582 00:31:34,840 --> 00:31:40,320 Speaker 1: referring to them, sugar sweetened beverages. About the carbonation part, 583 00:31:40,720 --> 00:31:42,800 Speaker 1: what's anything? It's mostly they're not. It's not just so 584 00:31:42,960 --> 00:31:45,680 Speaker 1: it's like the wild sugary drinker. We're just talking about 585 00:31:45,680 --> 00:31:50,040 Speaker 1: sugar water, sugar waters, gatorades, even you know, like gatorade, 586 00:31:50,200 --> 00:31:52,960 Speaker 1: wacky juices. There's a lot of sugar and gatorade. Yeah, 587 00:31:53,160 --> 00:31:55,440 Speaker 1: it's just sports drinks. I mean, it's not like as 588 00:31:55,520 --> 00:31:59,760 Speaker 1: well my teeth with like that's what I treat gatorade 589 00:31:59,760 --> 00:32:02,360 Speaker 1: as water. I know you. Yeah, you take that mouth guard. 590 00:32:02,520 --> 00:32:04,480 Speaker 1: You just put a little bit of rip tide rush 591 00:32:04,560 --> 00:32:10,440 Speaker 1: in there and a little yellow yeah. Yeah, dude. So 592 00:32:10,480 --> 00:32:13,040 Speaker 1: this study comes out from Harvard. I think everyone had 593 00:32:13,080 --> 00:32:15,320 Speaker 1: always known. Our parents had always been like, so does 594 00:32:15,360 --> 00:32:17,360 Speaker 1: bad for you? And if you had an immigrant parents, y'all, 595 00:32:17,440 --> 00:32:19,440 Speaker 1: they said that she was the devil. My mom would 596 00:32:19,440 --> 00:32:21,200 Speaker 1: never let me drink. So yeah, and I had to 597 00:32:21,240 --> 00:32:23,040 Speaker 1: sneak off to my white neighbor's house to be like, 598 00:32:23,080 --> 00:32:25,760 Speaker 1: can I have a sprite? Oh you know when I 599 00:32:25,760 --> 00:32:29,440 Speaker 1: got coke? Birthday? Oh? Really birthday? That's it? Like eight 600 00:32:29,440 --> 00:32:34,040 Speaker 1: ball or just a Graham. Pretty sick parenting anyway. So 601 00:32:34,360 --> 00:32:37,479 Speaker 1: this this study comes out that basically was showing that 602 00:32:37,520 --> 00:32:40,080 Speaker 1: like any you know, depending on how many sodas you drink, 603 00:32:40,160 --> 00:32:43,080 Speaker 1: the more you drink can increase your risks of dying 604 00:32:43,200 --> 00:32:47,640 Speaker 1: from any cause, not just something specifically, just like in general. 605 00:32:47,720 --> 00:32:51,160 Speaker 1: There's linking that to you know, lower life expectancy. So 606 00:32:51,160 --> 00:32:53,440 Speaker 1: they're saying this is from this study says compared to 607 00:32:53,520 --> 00:32:56,120 Speaker 1: drinking sugar, sweet and beverages less than once per month, 608 00:32:56,280 --> 00:32:58,520 Speaker 1: drinking one to four sugary drinks per month that was 609 00:32:58,560 --> 00:33:01,440 Speaker 1: linked with a one percent increased risk two to six 610 00:33:01,440 --> 00:33:04,200 Speaker 1: per week, six percent increased risk one to two per 611 00:33:04,280 --> 00:33:09,600 Speaker 1: day increased risk drinks per day. A lot of motherfucker's 612 00:33:09,600 --> 00:33:12,960 Speaker 1: are yes. So the first question I had does this 613 00:33:13,760 --> 00:33:17,720 Speaker 1: transfer to diet sodas? Okay, So cut to there's a 614 00:33:17,760 --> 00:33:22,680 Speaker 1: study from the American Heart Association that's said drinking drinking 615 00:33:22,680 --> 00:33:25,440 Speaker 1: two or more of any kind of artificially sweet and drinks. 616 00:33:25,440 --> 00:33:28,720 Speaker 1: So when a caveat here is this They've noticed that 617 00:33:28,760 --> 00:33:31,240 Speaker 1: in the study that these drinks tend to affect women 618 00:33:31,280 --> 00:33:35,800 Speaker 1: more than they hold on to your butts, because just 619 00:33:35,960 --> 00:33:39,480 Speaker 1: drinking to a day can increase your risk of a 620 00:33:39,480 --> 00:33:43,200 Speaker 1: clock based stroke or heart attack pretty significantly. Someone give 621 00:33:43,240 --> 00:33:45,920 Speaker 1: me a damn eighteen pack. I want to die, especially 622 00:33:45,920 --> 00:33:48,280 Speaker 1: if you're over fifties. So again, these aren't like just 623 00:33:48,320 --> 00:33:50,160 Speaker 1: saying it's they're they're not saying to treat this is 624 00:33:50,160 --> 00:33:53,840 Speaker 1: like a monothread like everyone has different health situations, different 625 00:33:53,920 --> 00:33:56,760 Speaker 1: exercise routines or whatever. But in general, they're just saying, like, 626 00:33:57,160 --> 00:33:58,960 Speaker 1: if you just let it rock and you're you're drinking 627 00:33:59,000 --> 00:34:01,520 Speaker 1: wild sodas all the time, then maybe it will wear 628 00:34:01,560 --> 00:34:03,880 Speaker 1: you down. All I'm hearing from this is that this 629 00:34:03,920 --> 00:34:07,360 Speaker 1: is a socially acceptable way to drink yourself to death exactly. 630 00:34:07,880 --> 00:34:11,239 Speaker 1: Hell yeah, yeah, you won't shoot yourself in public. Yeah, 631 00:34:11,560 --> 00:34:13,759 Speaker 1: you can go to work and drink sodas. Nobody says ship. 632 00:34:14,160 --> 00:34:18,960 Speaker 1: I'm like, I'm pouring coke in my whiskey bottle. Yeah yeah, 633 00:34:19,320 --> 00:34:23,400 Speaker 1: more bad news for white people. Juice is also just 634 00:34:23,560 --> 00:34:28,520 Speaker 1: sugar water. It turns out you have moms. That what's 635 00:34:28,520 --> 00:34:31,479 Speaker 1: going on? You guys just do Americans just not have money? 636 00:34:31,560 --> 00:34:34,160 Speaker 1: Just I thought I thought orange juice was just juice, 637 00:34:35,000 --> 00:34:39,440 Speaker 1: orange orange heal. Yeah, yeah, yeah, well that's that's real 638 00:34:39,520 --> 00:34:41,760 Speaker 1: bad for you. I think also that when you're drinking 639 00:34:41,760 --> 00:34:44,000 Speaker 1: a big glass of yogurt. I know, we've got the 640 00:34:44,080 --> 00:34:46,759 Speaker 1: kaffir or whatever, kaffer keefer. How do you call that? 641 00:34:47,200 --> 00:34:48,799 Speaker 1: We don't know. We still don't know what. I don't know, man, 642 00:34:48,960 --> 00:34:53,120 Speaker 1: My throat is too clogged up. It's so freaking I'm 643 00:34:53,160 --> 00:34:55,600 Speaker 1: so flu I can't believe you guys have keefer in 644 00:34:55,600 --> 00:34:58,160 Speaker 1: the office. It's so we're out here, you know what 645 00:34:58,280 --> 00:35:00,640 Speaker 1: I think it is though, it's probably like our parents, 646 00:35:00,840 --> 00:35:03,279 Speaker 1: not like growing up outside of the United States. They 647 00:35:03,280 --> 00:35:05,880 Speaker 1: grew up, especially my mom. The US bombed ship out 648 00:35:05,920 --> 00:35:08,000 Speaker 1: of Japan, So they're like, what are they doing over there? 649 00:35:08,480 --> 00:35:12,560 Speaker 1: Like soda? I don't know, although now you know, Japanese 650 00:35:12,880 --> 00:35:17,240 Speaker 1: sodas are so fucking sweet, it will I little preserve 651 00:35:17,239 --> 00:35:19,600 Speaker 1: your insides if that's a thing with sugar. But but 652 00:35:19,640 --> 00:35:22,520 Speaker 1: they treat it as like a novelty like KFC, like 653 00:35:22,560 --> 00:35:25,480 Speaker 1: it's not a daily staple of the diet. Well, you know, 654 00:35:25,520 --> 00:35:28,120 Speaker 1: on to continuum, people are gaining weight there because more 655 00:35:28,120 --> 00:35:31,080 Speaker 1: sugary foods and more you know, like processed foods are 656 00:35:31,160 --> 00:35:34,839 Speaker 1: entering the Japanese diet. But you know, but culturally, like 657 00:35:34,920 --> 00:35:36,719 Speaker 1: that's not a that's not a thing that you just 658 00:35:36,719 --> 00:35:39,120 Speaker 1: like keeping your well, there's a lot more like there's 659 00:35:39,160 --> 00:35:43,160 Speaker 1: a lot more awareness of basic nutrition in pretty much 660 00:35:43,160 --> 00:35:45,200 Speaker 1: almost every other country, and a lot of that I 661 00:35:45,239 --> 00:35:47,719 Speaker 1: think has to do with poverty. You know, it just 662 00:35:47,800 --> 00:35:49,680 Speaker 1: has to do with like when you're poor and you 663 00:35:49,760 --> 00:35:51,640 Speaker 1: only have a few things to eat, like you can't 664 00:35:51,680 --> 00:35:53,480 Speaker 1: really funk up, you know, And I was like, oh, 665 00:35:53,560 --> 00:35:55,360 Speaker 1: let's get that fried cheeseburger. And also, you know, like 666 00:35:55,520 --> 00:36:00,880 Speaker 1: nutritionally speaking versus versus price, soda gives you nothing. You know, 667 00:36:01,000 --> 00:36:03,919 Speaker 1: it's just fun to drink sugar. You know tastes good, 668 00:36:04,040 --> 00:36:07,960 Speaker 1: but like, but I think soda companies target people like 669 00:36:08,120 --> 00:36:13,040 Speaker 1: lower income fam with their marketing and assume that there's 670 00:36:13,120 --> 00:36:17,239 Speaker 1: like an information desert and a nutrition dessert. So yeah, 671 00:36:17,520 --> 00:36:21,640 Speaker 1: you know, it happens in both ways, I think. But yeah, 672 00:36:21,719 --> 00:36:24,080 Speaker 1: and that's why it's the rise of the Seltzer water space. 673 00:36:24,120 --> 00:36:27,799 Speaker 1: But I honestly think that like white Americans like just 674 00:36:28,000 --> 00:36:32,440 Speaker 1: having no sense of like that juice is bad or 675 00:36:32,480 --> 00:36:35,880 Speaker 1: that soda is bad is just like there's no tradition 676 00:36:35,960 --> 00:36:38,560 Speaker 1: that they're latched onto. It's also why our food is fast. 677 00:36:38,560 --> 00:36:42,000 Speaker 1: It's like there's not a traditional but everybody's eating unhealthy 678 00:36:42,000 --> 00:36:46,000 Speaker 1: though I don't think white people on that, but I'm 679 00:36:46,000 --> 00:36:49,080 Speaker 1: out here thinking, you know, my grandma thought juice was 680 00:36:49,120 --> 00:36:52,040 Speaker 1: good too. I mean, juice is good, like I mean, 681 00:36:52,080 --> 00:36:54,760 Speaker 1: it is delicious. I mean, if you're comparing juice to soda, 682 00:36:54,880 --> 00:36:58,120 Speaker 1: obviously just for you, but not that much better. Right, Well, 683 00:36:58,120 --> 00:37:00,160 Speaker 1: it's like, you know, I feel like juicy juice. Every 684 00:37:00,200 --> 00:37:01,760 Speaker 1: other culture of the world is like, oh yeah, fruit 685 00:37:01,800 --> 00:37:03,600 Speaker 1: is candy. You know, fruit is candy, and then you 686 00:37:03,600 --> 00:37:05,520 Speaker 1: also have candy which is made of sugar. Right But 687 00:37:05,600 --> 00:37:07,839 Speaker 1: in but I guess like white American culture is sort 688 00:37:07,840 --> 00:37:11,320 Speaker 1: of like fruit is a vegetable and candy is a food. 689 00:37:12,080 --> 00:37:15,239 Speaker 1: That's there, you go. That's how I was raised and 690 00:37:15,280 --> 00:37:18,399 Speaker 1: I'm sticking to We'll get into Fox and Friends later 691 00:37:18,400 --> 00:37:22,080 Speaker 1: because they were drinking milkshakes in Times Square. Cannot wait 692 00:37:22,080 --> 00:37:25,200 Speaker 1: for the conservatives to be drinking big gulps in protest 693 00:37:25,280 --> 00:37:28,960 Speaker 1: of this cultural Marxism against soda. Yeah, just straight up 694 00:37:29,000 --> 00:37:33,319 Speaker 1: canning cancer to own the lip. At the other end 695 00:37:33,320 --> 00:37:37,840 Speaker 1: of the spectrum, sort of underdog, scrappy, underdog candidate who 696 00:37:38,080 --> 00:37:41,239 Speaker 1: is starting to get a lot of attention. I will 697 00:37:41,320 --> 00:37:43,800 Speaker 1: note that I've been talking about him for a year now. 698 00:37:44,280 --> 00:37:48,160 Speaker 1: Pete Butt, as I call him, Pete is super hot 699 00:37:48,280 --> 00:37:52,720 Speaker 1: right now. CNN calls him the hottest candidate really, yeah, 700 00:37:52,880 --> 00:37:55,120 Speaker 1: the hot. They call him the hottest, the hottest candidate, 701 00:37:55,480 --> 00:37:58,600 Speaker 1: like in terms of just looks, Yeah, yeah, I think 702 00:37:59,239 --> 00:38:02,640 Speaker 1: looks and also like body body, you know, just like 703 00:38:02,880 --> 00:38:05,160 Speaker 1: he's like the bet was never in a band and 704 00:38:05,960 --> 00:38:08,920 Speaker 1: attention in school, right. But the wild story about him 705 00:38:08,960 --> 00:38:12,279 Speaker 1: that's like kind of going around on social media is 706 00:38:12,320 --> 00:38:17,120 Speaker 1: that he learned a language because I forget which language 707 00:38:17,120 --> 00:38:19,560 Speaker 1: it was, but he read a book by an author 708 00:38:19,760 --> 00:38:22,640 Speaker 1: that had been translated to English, and then couldn't find 709 00:38:22,719 --> 00:38:27,120 Speaker 1: any of that author's work that had been translated to English, 710 00:38:27,160 --> 00:38:28,920 Speaker 1: like none of their other books had been. So he 711 00:38:29,000 --> 00:38:31,840 Speaker 1: just learned that language to like read the rest of 712 00:38:31,880 --> 00:38:35,560 Speaker 1: that author's book. So wow. Yeah, he he speaks like 713 00:38:35,840 --> 00:38:40,440 Speaker 1: seven eight languages. Yeah, he's he's smart as fun. He 714 00:38:40,480 --> 00:38:44,640 Speaker 1: was a Rhodes Scholar. He was a war Vett. Yeah, 715 00:38:44,680 --> 00:38:47,440 Speaker 1: Afghan war Vett seems weird. I know he knows how 716 00:38:47,440 --> 00:38:50,160 Speaker 1: to say his own name, but Buddha Judge seems weird. 717 00:38:50,200 --> 00:38:55,360 Speaker 1: Is that how you say it? Yeah? Yeah, yeah, the 718 00:38:55,440 --> 00:38:56,879 Speaker 1: name is gonna be a problem for him. I feel 719 00:38:56,880 --> 00:39:01,040 Speaker 1: like brand I think pet Butts is like people don't 720 00:39:01,080 --> 00:39:05,879 Speaker 1: mayor Pete, I know, President Pete, President Pe do that? Please? 721 00:39:06,000 --> 00:39:08,640 Speaker 1: You go? Please call me president pretty president. Also, he 722 00:39:08,680 --> 00:39:11,560 Speaker 1: looks exactly like the coach of the Celtics, which is 723 00:39:11,600 --> 00:39:15,640 Speaker 1: being pointed out online. Bred Stevens P. Yeah, they're they're 724 00:39:15,760 --> 00:39:19,400 Speaker 1: definitely from similar dimensions. Yeah, and yeah, Rhodes scholar went 725 00:39:19,440 --> 00:39:21,960 Speaker 1: to Oxford. I mean he's it's funny too because when 726 00:39:21,960 --> 00:39:24,600 Speaker 1: you've man the town hall he had was he had 727 00:39:24,640 --> 00:39:28,359 Speaker 1: a really good yeah, like it's a performance, highly competent, Yeah, 728 00:39:28,440 --> 00:39:31,840 Speaker 1: he showed himself to be like someone we need to 729 00:39:31,840 --> 00:39:36,240 Speaker 1: be paying more attention to. And I hope the great 730 00:39:36,280 --> 00:39:40,080 Speaker 1: great couple, this husband cute. Yeah, they're like a good 731 00:39:40,080 --> 00:39:43,480 Speaker 1: looking couple. What's the husband do I'm not sure? Okay, 732 00:39:44,160 --> 00:39:46,760 Speaker 1: I know he's all up on Twitter being charming now, yeah, 733 00:39:47,600 --> 00:39:50,960 Speaker 1: being haunting the charm offensive for all he's doing Harry 734 00:39:50,960 --> 00:39:54,040 Speaker 1: Potter talk on there. Yeah, he talked about everyone on 735 00:39:54,040 --> 00:39:57,120 Speaker 1: Twitter loves Harry Potter. If there's one thing I've realized 736 00:39:58,040 --> 00:39:59,520 Speaker 1: and I don't know anything about I need to do, 737 00:39:59,600 --> 00:40:01,719 Speaker 1: I but good for him. Yeah, but again I think 738 00:40:01,960 --> 00:40:04,080 Speaker 1: I really hope he gets a little bit more coverage 739 00:40:04,120 --> 00:40:06,239 Speaker 1: because man, when you hear him speak, you're you're almost like, 740 00:40:06,239 --> 00:40:09,319 Speaker 1: oh wow, this is he has. His demeanor is like 741 00:40:09,560 --> 00:40:12,680 Speaker 1: very settled. He just has. He's very hyper intelligent. He's 742 00:40:12,680 --> 00:40:15,080 Speaker 1: like Betto, but standing on ground level instead of a 743 00:40:15,160 --> 00:40:20,280 Speaker 1: counter for something you eating surfaces. Uh, some poor barista 744 00:40:20,320 --> 00:40:23,560 Speaker 1: has to wipe that up. Betto? He's was he in 745 00:40:23,640 --> 00:40:26,680 Speaker 1: New Hampshire right now? I think? Yeah, just just leaping 746 00:40:26,760 --> 00:40:31,680 Speaker 1: from table, smashing glasses like ron Berg when he gets 747 00:40:31,680 --> 00:40:38,080 Speaker 1: the flute out, stomping on tables. Please Alright, we're gonna 748 00:40:38,120 --> 00:40:49,560 Speaker 1: take another quick break. We'll be right back, and we're back. Uh. 749 00:40:49,640 --> 00:40:51,880 Speaker 1: And finally with a myth. What's something people think is 750 00:40:51,920 --> 00:40:54,839 Speaker 1: true you know to be false? Um that Irish people 751 00:40:54,880 --> 00:41:00,800 Speaker 1: have a good sense of humor about themselves around. Well, listen, 752 00:41:00,800 --> 00:41:04,560 Speaker 1: I'm half Irish, I'm half my Yeah, so I'm just curious. 753 00:41:04,800 --> 00:41:07,040 Speaker 1: Not that that was an interesting take. I'm like, what 754 00:41:07,400 --> 00:41:10,920 Speaker 1: what happened? It's gonna find me know. It's well around 755 00:41:11,160 --> 00:41:16,120 Speaker 1: uh St Patrick's Day. Every year this pops up between 756 00:41:16,160 --> 00:41:18,360 Speaker 1: my my former co workers and I at the Boston 757 00:41:18,360 --> 00:41:24,719 Speaker 1: Globe where I wrote a piece in early uh and 758 00:41:24,960 --> 00:41:29,320 Speaker 1: picturing it. I wrote a piece about I just shout 759 00:41:29,320 --> 00:41:33,279 Speaker 1: out a bartender um in Southeast in Boston during St. 760 00:41:33,280 --> 00:41:35,960 Speaker 1: Patrick's Day and just wrote about his day and like 761 00:41:36,040 --> 00:41:38,200 Speaker 1: how crazy it was and everyone was drunk and all 762 00:41:38,200 --> 00:41:41,680 Speaker 1: this stuff. And for some reason, like there someone had 763 00:41:41,719 --> 00:41:45,680 Speaker 1: a vested interest in going after the people who wrote 764 00:41:46,000 --> 00:41:49,000 Speaker 1: for this website at this time, and there was all 765 00:41:50,160 --> 00:41:52,319 Speaker 1: the Boston Globe and it was like a separate it 766 00:41:52,360 --> 00:41:56,520 Speaker 1: was Boston dot Com. It's needlessly complicated. But the boss 767 00:41:56,600 --> 00:42:00,320 Speaker 1: and Harold published a print story the next day about 768 00:42:00,400 --> 00:42:04,560 Speaker 1: how I was wrong to say that that people were 769 00:42:04,640 --> 00:42:07,919 Speaker 1: drunk on St. Patrick's Day and they got they got 770 00:42:07,920 --> 00:42:14,120 Speaker 1: a state representative to commit a quote against the Yeah, yeah, 771 00:42:15,000 --> 00:42:16,960 Speaker 1: every day is a drunk day in Southy, but St. 772 00:42:16,960 --> 00:42:19,520 Speaker 1: Patty's Day runs by a completely separate set of laws, 773 00:42:19,560 --> 00:42:22,920 Speaker 1: wrote loftist, whose website says she's also a stand up 774 00:42:22,920 --> 00:42:27,319 Speaker 1: and sketch performer. Uh and convey that disgust in that 775 00:42:27,440 --> 00:42:32,000 Speaker 1: text and then quote. I'm surprised such bigoted views are 776 00:42:32,040 --> 00:42:36,279 Speaker 1: still tolerated at Boston dot Com, said the US Representative, 777 00:42:36,320 --> 00:42:42,480 Speaker 1: Stephen Lynch. It's very disrespectful, added former Mayor Raymond L. Flynn. 778 00:42:43,000 --> 00:42:47,360 Speaker 1: We experienced the finest day of our lives yesterday with family, faith, 779 00:42:47,400 --> 00:42:51,560 Speaker 1: and friends. We could dismiss these comments as from uninformed people. 780 00:42:51,760 --> 00:42:55,440 Speaker 1: They don't know us. Yeah, Saint Patrick's Day for Irish 781 00:42:55,440 --> 00:43:00,680 Speaker 1: people about faith, they fucking came from me. Yeah. When 782 00:43:00,680 --> 00:43:02,960 Speaker 1: I saw what was going on in the Sunset Strip yesterday, 783 00:43:02,960 --> 00:43:05,080 Speaker 1: it looked like a lot of people faith based. Yeah, 784 00:43:05,360 --> 00:43:08,239 Speaker 1: a lot of protivity yea. Yeah, I mean in that 785 00:43:08,280 --> 00:43:13,359 Speaker 1: bar in Indianapolis, we were all pray. Yeahs three eight 786 00:43:13,520 --> 00:43:17,320 Speaker 1: I believe says vomit in the streets to show thine faith. 787 00:43:17,560 --> 00:43:21,879 Speaker 1: Yes exactly, I mean and then and so the I learned, Yeah, 788 00:43:21,880 --> 00:43:24,319 Speaker 1: you don't have to be don't have to obscure what 789 00:43:24,360 --> 00:43:26,200 Speaker 1: St Patrick's days. But I get maybe some people want 790 00:43:26,200 --> 00:43:27,640 Speaker 1: to respect it for that day. A lot of people 791 00:43:27,680 --> 00:43:32,520 Speaker 1: just take it as drink fest in March. Yeah. Yeah, anyway, 792 00:43:32,800 --> 00:43:36,680 Speaker 1: shout out to uh Irish music to get the Irish 793 00:43:37,160 --> 00:43:39,960 Speaker 1: back on our side. Went to a couple of things 794 00:43:39,960 --> 00:43:43,239 Speaker 1: of like live Irish music, and one of them was 795 00:43:43,280 --> 00:43:49,120 Speaker 1: good like ghost like yeah, like fiddling like like weird 796 00:43:49,400 --> 00:43:53,440 Speaker 1: instruments that there's like a woman dancing, like doing the 797 00:43:53,560 --> 00:43:59,080 Speaker 1: jig thing that uh, those classes, that Irish dancing classes. 798 00:43:59,640 --> 00:44:03,719 Speaker 1: It's listen to these great Irish Americans still holding up 799 00:44:03,719 --> 00:44:06,759 Speaker 1: their tradition, you know, weird instruments and that lady doing 800 00:44:06,800 --> 00:44:12,320 Speaker 1: that has a lot of fun. Anyway, I just wanted 801 00:44:12,360 --> 00:44:17,160 Speaker 1: to honor the my heritage with that hyper specific call 802 00:44:17,200 --> 00:44:21,000 Speaker 1: out of an art form that I am very well acquainted. 803 00:44:21,040 --> 00:44:25,480 Speaker 1: That one guy I was playing on that stick and 804 00:44:25,560 --> 00:44:30,720 Speaker 1: we love that about that. We'd love all right. That's 805 00:44:30,760 --> 00:44:34,880 Speaker 1: gonna do it for this week's Weekly Zeitgeys, please like 806 00:44:35,040 --> 00:44:38,799 Speaker 1: and review the show. If you like the show, UH 807 00:44:39,239 --> 00:44:43,120 Speaker 1: means the world to Miles. He needs your validation. Folks. 808 00:44:43,680 --> 00:44:46,759 Speaker 1: I hope you're having a great weekend and I will 809 00:44:46,800 --> 00:45:01,040 Speaker 1: talk to you Monday. By Sa