1 00:00:00,040 --> 00:00:03,200 Speaker 1: Hello the Internet, and welcome to season seventy four, Episode three, 2 00:00:04,280 --> 00:00:07,800 Speaker 1: Guys Podcast, where we take a deep tive into America's 3 00:00:07,800 --> 00:00:11,960 Speaker 1: share consciousness of Wednesday, March twentieth, two thousand nine. Team, 4 00:00:11,960 --> 00:00:15,840 Speaker 1: my name is Jack O'Brien. There's no site too big, 5 00:00:15,880 --> 00:00:19,800 Speaker 1: no gang too small. If you need hot takes, just 6 00:00:20,000 --> 00:00:25,680 Speaker 1: call to Jack and Miles Podcast Rangers. To Jack and 7 00:00:25,880 --> 00:00:36,520 Speaker 1: Miles Wendur's Danger Uh yeah, really supported that and as 8 00:00:36,560 --> 00:00:41,400 Speaker 1: always by my co host, Mr Miles Crag and I 9 00:00:41,440 --> 00:00:43,800 Speaker 1: will remember your miles with Gray on the day you 10 00:00:43,840 --> 00:00:46,320 Speaker 1: would judge buttons like Gang cast and I will rejoice 11 00:00:46,320 --> 00:00:48,120 Speaker 1: at your fray God takes with the Cane to this 12 00:00:48,200 --> 00:00:52,120 Speaker 1: guy like Blunt shall pass, Wow, Nune shall pass a 13 00:00:52,280 --> 00:00:55,800 Speaker 1: k A A South Brock. Thank you too, Justin Brackett 14 00:00:55,840 --> 00:00:58,320 Speaker 1: at Mr five one for that one. You know, I 15 00:00:58,360 --> 00:01:00,480 Speaker 1: love that instrumental. I mean the song look cool with 16 00:01:00,520 --> 00:01:03,080 Speaker 1: the instrument Really it's me rooming. I don't think I 17 00:01:03,120 --> 00:01:08,000 Speaker 1: know that song like yeah, I mean my k was 18 00:01:08,040 --> 00:01:12,840 Speaker 1: courtesy of Samuel Kane at tea Man Reaver for some 19 00:01:13,000 --> 00:01:17,520 Speaker 1: read on Twitter, and we're thrilled to be joined by 20 00:01:17,560 --> 00:01:22,040 Speaker 1: the hilarious and talented comedian and podcast host Sara June 21 00:01:22,600 --> 00:01:30,080 Speaker 1: thrilled absolutely well, absolutely thrills well going through my body thrills, chills. 22 00:01:30,600 --> 00:01:32,839 Speaker 1: Later on some skills, I got some k I got. 23 00:01:33,240 --> 00:01:35,960 Speaker 1: I got a little bit of gott I got. Sara 24 00:01:36,000 --> 00:01:41,080 Speaker 1: crop June writers, huh, I got, I got a little 25 00:01:41,080 --> 00:01:44,080 Speaker 1: bit of super June June is a public safety hazard. 26 00:01:44,400 --> 00:01:46,400 Speaker 1: Please don't try try and visit the super it's a 27 00:01:46,400 --> 00:01:51,040 Speaker 1: super bloom. Piles is looking at me like he's try 28 00:01:51,800 --> 00:01:55,560 Speaker 1: as healthy it is at healthy, at a healthy saber. 29 00:01:55,800 --> 00:01:59,040 Speaker 1: At Lake Elsinore in southern California, UM, they are quote 30 00:01:59,080 --> 00:02:02,360 Speaker 1: Disneyland sized cry outs and they have shut down like elsewhere. 31 00:02:02,440 --> 00:02:06,920 Speaker 1: You are not allowed to drive there anymore. There's not enough. Yeah, 32 00:02:07,000 --> 00:02:09,520 Speaker 1: there's just not enough. They weren't expecting that many people. 33 00:02:09,600 --> 00:02:12,079 Speaker 1: Usually they have way more flowers than people, and right 34 00:02:12,120 --> 00:02:14,799 Speaker 1: now they have about as many people. Were like two 35 00:02:14,880 --> 00:02:17,359 Speaker 1: years ago, you were you caught the waves because back 36 00:02:17,360 --> 00:02:19,440 Speaker 1: then it was like a few people bothered to go, 37 00:02:19,520 --> 00:02:21,280 Speaker 1: and I think now people are this year like is 38 00:02:21,280 --> 00:02:24,200 Speaker 1: that thing going to happen from Instagram? It's the Instagram thing? 39 00:02:24,240 --> 00:02:26,079 Speaker 1: And it's like, you know, if you don't go, what 40 00:02:26,120 --> 00:02:27,880 Speaker 1: are you even do? And for people who don't know 41 00:02:27,919 --> 00:02:31,000 Speaker 1: the super bloom because California, Southern California is physically we 42 00:02:31,040 --> 00:02:34,200 Speaker 1: don't get any water that when it does, the poppies 43 00:02:34,200 --> 00:02:37,440 Speaker 1: bloom in certain areas, and it's breathtaking because we have 44 00:02:37,760 --> 00:02:41,320 Speaker 1: I mean, by far, unquestionably the best state flower, which 45 00:02:41,320 --> 00:02:45,880 Speaker 1: is the golden California poppy on orange. It's beautiful and 46 00:02:45,960 --> 00:02:47,800 Speaker 1: it grows in these It's got like kind of blue 47 00:02:47,800 --> 00:02:50,760 Speaker 1: green leaves, and it grows in these huge swaths and 48 00:02:50,800 --> 00:02:53,120 Speaker 1: it just looks like somebody spilled a bunch of orange 49 00:02:53,200 --> 00:02:55,800 Speaker 1: dust on the hillside. It's crazy. I mean, it's really 50 00:02:56,040 --> 00:02:58,320 Speaker 1: truly beautiful. When you said super June, I thought you 51 00:02:58,360 --> 00:03:02,000 Speaker 1: meant like the not what is it the term like 52 00:03:02,040 --> 00:03:05,040 Speaker 1: affection used like for no no in Persian the culture 53 00:03:05,040 --> 00:03:06,639 Speaker 1: of the June. Yeah, And I was like, oh, you're 54 00:03:06,639 --> 00:03:10,360 Speaker 1: the super super baby. Look at you? Yeah, super June. Sorry, yeah, 55 00:03:10,680 --> 00:03:17,240 Speaker 1: I also have a reboot of June starring Timothy Sara May. 56 00:03:18,160 --> 00:03:22,320 Speaker 1: I went for it and it worked. It worked. All 57 00:03:22,320 --> 00:03:25,519 Speaker 1: the risks you have taken have paid off. Congratulations, Thank 58 00:03:25,520 --> 00:03:29,160 Speaker 1: you so much. It's so good to have shot to 59 00:03:29,200 --> 00:03:34,160 Speaker 1: your June shot. There we go. Yeah, whoa, that was 60 00:03:34,200 --> 00:03:38,480 Speaker 1: like an I thought that was me in the bike 61 00:03:38,640 --> 00:03:42,360 Speaker 1: or something that was a weird noise. Uh so, what 62 00:03:42,440 --> 00:03:44,160 Speaker 1: have you been up to? How are you? It's great 63 00:03:44,200 --> 00:03:46,560 Speaker 1: to have you back. It is one more day, it 64 00:03:46,640 --> 00:03:50,000 Speaker 1: is si. It is one more day until it didn't 65 00:03:50,120 --> 00:03:53,440 Speaker 1: rouse the Persian New Year for day spring favorite holiday 66 00:03:53,840 --> 00:03:57,160 Speaker 1: holiday much technically this comes out tomorrow. Does that still 67 00:03:57,160 --> 00:03:59,000 Speaker 1: hold up? That's what I'm doing. Oh sorry, I want 68 00:03:59,000 --> 00:04:00,440 Speaker 1: to make sure I didn't want to No, no, no, 69 00:04:01,040 --> 00:04:05,119 Speaker 1: Today Wednesday, March twenty is the day before the spring equinox, 70 00:04:05,160 --> 00:04:08,120 Speaker 1: and it's my favorite holiday because it's the flowers cup. 71 00:04:08,360 --> 00:04:10,320 Speaker 1: Oh yeah, you came in with flowers to I came 72 00:04:10,320 --> 00:04:12,560 Speaker 1: in with flowers for Anna because she has her half 73 00:04:12,600 --> 00:04:14,640 Speaker 1: seen going, which is like this table where you put 74 00:04:14,680 --> 00:04:17,120 Speaker 1: all this stuff and it's a bunch of different stuff 75 00:04:17,160 --> 00:04:19,920 Speaker 1: that begins with s. You know, like I'm on the 76 00:04:19,960 --> 00:04:22,720 Speaker 1: table and I got other stuff on the You got 77 00:04:22,760 --> 00:04:26,680 Speaker 1: like an apple sativa, Sara, you know, you got sprig, 78 00:04:26,839 --> 00:04:32,640 Speaker 1: you got uh slow, slow qua, put some qua on 79 00:04:32,720 --> 00:04:36,599 Speaker 1: the table. Yeah, it's great, it's really nice, fantastic. Is 80 00:04:36,640 --> 00:04:40,480 Speaker 1: that part of the tradition SyES is seven seven seven 81 00:04:40,520 --> 00:04:43,200 Speaker 1: items that begin with the letter scenes. It's called half scene. 82 00:04:43,440 --> 00:04:46,239 Speaker 1: So my other I mean my really my deep cut 83 00:04:46,400 --> 00:04:49,600 Speaker 1: a k A was you know, I'm the I'm the 84 00:04:49,720 --> 00:04:53,320 Speaker 1: hash doome scene on your half scene on the eighth scene, 85 00:04:53,360 --> 00:04:57,599 Speaker 1: baby kiss and jet Semon. Who sawa. That's right. That's 86 00:04:57,640 --> 00:05:01,839 Speaker 1: for some of you. H Yeah, that's all the Ranny 87 00:05:01,880 --> 00:05:04,640 Speaker 1: and Z that gang out there. Yeah. Uh Well, we're 88 00:05:04,640 --> 00:05:06,320 Speaker 1: gonna get to know you a little bit better in 89 00:05:06,400 --> 00:05:08,560 Speaker 1: a moment. First, we're gonna tell our listeners a couple 90 00:05:08,600 --> 00:05:11,560 Speaker 1: of things we're talking about today. We're gonna talk about 91 00:05:11,680 --> 00:05:16,400 Speaker 1: how completely fucked you are if you've ever had a single, one, 92 00:05:17,400 --> 00:05:20,320 Speaker 1: just one. We're gonna talk about Movie Past being back 93 00:05:20,400 --> 00:05:22,960 Speaker 1: for some reason. We're gonna talk about Devin Nunez suing 94 00:05:22,960 --> 00:05:26,880 Speaker 1: his mom. We're gonna talk about how the Florida House 95 00:05:26,880 --> 00:05:31,320 Speaker 1: of Representatives is circumventing the bill allowing felons to vote. 96 00:05:31,560 --> 00:05:33,760 Speaker 1: We're going to talk about New Zealand's response to the 97 00:05:33,880 --> 00:05:37,880 Speaker 1: terror texts and just the continued fall up from the 98 00:05:37,920 --> 00:05:43,159 Speaker 1: college emissions scandal. Just generally more like my now that 99 00:05:43,200 --> 00:05:48,520 Speaker 1: I'm paying attention to college admissions, just how yeah, it's 100 00:05:48,600 --> 00:05:50,200 Speaker 1: going to be any college by the time your kids 101 00:05:50,200 --> 00:05:52,560 Speaker 1: get That's true. It's true. Let's just take a pill, right, 102 00:05:53,400 --> 00:05:57,360 Speaker 1: that's right. What do you want to master's degree in 103 00:05:57,360 --> 00:06:00,120 Speaker 1: philosophy here? Oh wait, no, mix that with this one. 104 00:06:00,200 --> 00:06:03,560 Speaker 1: That's exactly what people would want to make more practical 105 00:06:03,680 --> 00:06:09,160 Speaker 1: getting a master's degree in philosophy by ingesting it. You 106 00:06:09,320 --> 00:06:12,960 Speaker 1: already fucking vapor master's degree in philosophy. That's already the kid. 107 00:06:15,240 --> 00:06:18,000 Speaker 1: But first, sorry, Jim, what is something from your search 108 00:06:18,040 --> 00:06:21,080 Speaker 1: history that's revealing about who you are? My search history? 109 00:06:21,400 --> 00:06:23,719 Speaker 1: You wanna you want to know the real deal, the 110 00:06:23,800 --> 00:06:26,159 Speaker 1: real meat. What's in my real search history and not 111 00:06:26,279 --> 00:06:27,880 Speaker 1: something that I came up with, you know, to do 112 00:06:27,920 --> 00:06:32,159 Speaker 1: a bit how to kill soil fungus? I got. I 113 00:06:32,160 --> 00:06:34,480 Speaker 1: got a garden bed and it's full of soil fungus 114 00:06:34,520 --> 00:06:36,640 Speaker 1: and I had to find out because nothing will grow 115 00:06:36,640 --> 00:06:38,800 Speaker 1: in it. What's soil fungus? Can you see it? Yeah? 116 00:06:38,839 --> 00:06:41,039 Speaker 1: It's like white stuff in the soul. That ship is okay? 117 00:06:41,080 --> 00:06:43,479 Speaker 1: That makes that looks like yeah, it looks like fungus 118 00:06:43,480 --> 00:06:45,159 Speaker 1: and it grows in the soil. So I have to, like, 119 00:06:45,240 --> 00:06:47,280 Speaker 1: I have to like put a white put a clear 120 00:06:47,320 --> 00:06:49,360 Speaker 1: sheet over it and let it get super hot, which 121 00:06:49,400 --> 00:06:50,960 Speaker 1: you know is going to happen in two days, and 122 00:06:51,040 --> 00:06:53,160 Speaker 1: so I gotta get a really really hot in there 123 00:06:53,160 --> 00:06:55,080 Speaker 1: to kill the fungi. Yeah, okay, they like it warm, 124 00:06:55,120 --> 00:06:58,599 Speaker 1: but they don't like it hot exactly. So just dealing 125 00:06:58,600 --> 00:07:02,360 Speaker 1: with some soil problems over on Cossa June. Yeah, you 126 00:07:02,480 --> 00:07:05,800 Speaker 1: normally gardens. I'm oh yeah, oh yeah, we talked about this. 127 00:07:05,920 --> 00:07:10,480 Speaker 1: Me and your mom were garden hose, garden garden, garden homes. 128 00:07:11,400 --> 00:07:15,600 Speaker 1: Due my rugla is flowering. It makes these little white flowers. 129 00:07:15,600 --> 00:07:19,120 Speaker 1: They're so pretty. And we got kale, we got cauliflower, 130 00:07:19,240 --> 00:07:22,120 Speaker 1: We got a rugla. We got radishes. I got some 131 00:07:22,240 --> 00:07:27,080 Speaker 1: radishes going. I grew my first radishes very excitedly. Don't 132 00:07:27,200 --> 00:07:31,400 Speaker 1: garden in southern California. You're missing out? Are you gardening? 133 00:07:34,400 --> 00:07:40,240 Speaker 1: But if you don't, because grows ten months, it's crazy. Yeah, 134 00:07:40,480 --> 00:07:43,680 Speaker 1: you just accidentally gross stuff. No, I grew stuff. I 135 00:07:43,680 --> 00:07:45,800 Speaker 1: mean I grew all this stuff over. I'm sorry, like 136 00:07:45,880 --> 00:07:47,680 Speaker 1: for people who are in the polar vortex, but I 137 00:07:47,720 --> 00:07:50,520 Speaker 1: grew this stuff in the winter. Right, But you know 138 00:07:50,600 --> 00:07:52,560 Speaker 1: it's going to be a hundred degrees for about three months, 139 00:07:52,560 --> 00:07:55,280 Speaker 1: and that rain, in addition to causing a super bloom, 140 00:07:55,320 --> 00:07:58,280 Speaker 1: just causes everything to look like Hawaii. Now. Yeah, it's 141 00:07:58,320 --> 00:08:00,440 Speaker 1: weird to drive through this pull over the past, especially 142 00:08:00,440 --> 00:08:03,560 Speaker 1: because that's just brown and dusty. And I'm like, where 143 00:08:03,640 --> 00:08:08,000 Speaker 1: the funk am I the Is this a garden like 144 00:08:08,080 --> 00:08:10,480 Speaker 1: in the ground or is it like a bed? I 145 00:08:10,520 --> 00:08:12,680 Speaker 1: have a raised bed. I have to eight foot long 146 00:08:12,800 --> 00:08:15,640 Speaker 1: raised beds. And I'm about to make some raised rose 147 00:08:15,880 --> 00:08:18,240 Speaker 1: in my in my other garden. I mean, I should 148 00:08:18,280 --> 00:08:20,960 Speaker 1: just have a gardening podcast. I just built a big 149 00:08:20,960 --> 00:08:23,560 Speaker 1: compost pen. Yeah, and I I cut down a whole 150 00:08:23,560 --> 00:08:25,080 Speaker 1: bunch of ship in my yard. I weeded and I 151 00:08:25,120 --> 00:08:26,920 Speaker 1: put all the weeds in the compost because I haven't 152 00:08:26,920 --> 00:08:30,480 Speaker 1: seated yet. Don't get on my ass. Compost people. You know, 153 00:08:30,720 --> 00:08:33,040 Speaker 1: I don't know about compost squad. I went to I 154 00:08:33,040 --> 00:08:34,960 Speaker 1: went to Portland and they were like, you know, I 155 00:08:34,960 --> 00:08:36,640 Speaker 1: tried to like throw away an apple core and the 156 00:08:36,640 --> 00:08:38,120 Speaker 1: person I was staying with it was like, oh, you know, 157 00:08:38,160 --> 00:08:40,160 Speaker 1: we compost actually, and I was like, okay, cool, and 158 00:08:40,160 --> 00:08:42,120 Speaker 1: she was like, I know, it's like that Portlandia sketch 159 00:08:42,120 --> 00:08:44,120 Speaker 1: where it's you know, here's here's where you put your plastic, 160 00:08:44,120 --> 00:08:45,439 Speaker 1: and here's where you put your paper, and here's where 161 00:08:45,440 --> 00:08:46,840 Speaker 1: you compost this and that, And I was like, bitch, 162 00:08:46,880 --> 00:08:49,040 Speaker 1: I know what compost is. Like, we have compost in 163 00:08:49,080 --> 00:08:52,560 Speaker 1: Lass like I lived in I lived in Austin. Like 164 00:08:52,640 --> 00:08:55,680 Speaker 1: I had in Austin, I had a guy bike to 165 00:08:55,720 --> 00:08:58,120 Speaker 1: my home every week with a big bucket, pick up 166 00:08:58,160 --> 00:09:00,640 Speaker 1: my kitchen scraps, take them to a commu indie garden. 167 00:09:01,040 --> 00:09:05,760 Speaker 1: Like that's how composts compost friendly on You ain't ship 168 00:09:05,840 --> 00:09:13,000 Speaker 1: Portland's wait for compost twitter to come for you. Peddlers 169 00:09:13,200 --> 00:09:15,800 Speaker 1: get it? Oh shit? Yeah? And then do they peddle 170 00:09:15,840 --> 00:09:18,200 Speaker 1: their wares to the gardens too? They take your kitchen 171 00:09:18,240 --> 00:09:20,400 Speaker 1: scraps to a big community gardens. Are they flipping that 172 00:09:20,440 --> 00:09:23,400 Speaker 1: for money? No, that's where I mean. I pay them 173 00:09:23,400 --> 00:09:25,600 Speaker 1: to do that, to take your away. Yeah, pay them 174 00:09:25,600 --> 00:09:27,960 Speaker 1: to take away and then they give me free compost. 175 00:09:28,040 --> 00:09:29,720 Speaker 1: Well it's not free, a paid right right right? You know, 176 00:09:29,800 --> 00:09:31,480 Speaker 1: Oh they'll take it. They make compost bring you back 177 00:09:31,520 --> 00:09:34,240 Speaker 1: some ready made composts. When they come by your house, 178 00:09:34,240 --> 00:09:41,120 Speaker 1: do they ring a bellance they bring out You're dead happy? 179 00:09:41,160 --> 00:09:44,320 Speaker 1: What is something you think is underrated? Underrated? Um? I 180 00:09:44,400 --> 00:09:46,920 Speaker 1: just started watching Larry Charles's Dangerous World of Comedy, and 181 00:09:47,000 --> 00:09:48,520 Speaker 1: oh boy, I can't believe no one told me to 182 00:09:48,520 --> 00:09:50,880 Speaker 1: watch that before. Someone One of our guests a few 183 00:09:50,880 --> 00:09:54,920 Speaker 1: weeks ago, Johann Miranda, was on Larry Charles's Dangerous World 184 00:09:54,920 --> 00:10:01,280 Speaker 1: of Comedy. Oh yeah, goes like, it's really good, dude. 185 00:10:01,320 --> 00:10:03,760 Speaker 1: I got so high and I watched the first episode 186 00:10:03,920 --> 00:10:06,320 Speaker 1: and and this isn't a spoiler. It's about the first 187 00:10:06,320 --> 00:10:09,400 Speaker 1: episode is about comedians in war zones. And so they 188 00:10:09,400 --> 00:10:12,120 Speaker 1: talked to some comedians in Iraq and they talk about 189 00:10:12,240 --> 00:10:14,600 Speaker 1: like these guys that ran a prank show in Iraq 190 00:10:15,000 --> 00:10:17,880 Speaker 1: where they were like they tried to prank other Iraqi 191 00:10:17,920 --> 00:10:20,600 Speaker 1: celebrities into thinking they were going to jail, and then 192 00:10:20,640 --> 00:10:25,320 Speaker 1: they were like just kidding. And then then they go 193 00:10:25,360 --> 00:10:28,360 Speaker 1: to Liberia, and I didn't know shit about Liberia, and 194 00:10:28,400 --> 00:10:32,559 Speaker 1: basically Liberia is the wild fucking West, Like it's just 195 00:10:32,800 --> 00:10:36,960 Speaker 1: gangs fighting gangs and all these incredibly crazy war lords 196 00:10:36,960 --> 00:10:40,480 Speaker 1: that are cannibalistic and they do realistic killings, yes, and 197 00:10:40,520 --> 00:10:42,240 Speaker 1: they other wild nicknames. And so this a guy named 198 00:10:42,400 --> 00:10:46,080 Speaker 1: General Butt Naked and like, so there's mosquito spray. It's 199 00:10:46,080 --> 00:10:49,560 Speaker 1: pretty violent. But then on the show they verbally described 200 00:10:49,600 --> 00:10:52,839 Speaker 1: some even more horrific violent acts that they don't show you, 201 00:10:53,120 --> 00:10:56,360 Speaker 1: but the verbal description is so rough. Man, I did 202 00:10:56,360 --> 00:10:59,080 Speaker 1: not sleep for a couple of days. Liberia is not 203 00:10:59,400 --> 00:11:02,360 Speaker 1: anything to around with. And there's comedians, there's women doing 204 00:11:02,480 --> 00:11:06,040 Speaker 1: comedy in Liberia, right, what's that like as a comedian 205 00:11:06,080 --> 00:11:08,800 Speaker 1: when you're like, you're like man in Austin, they come 206 00:11:08,880 --> 00:11:12,080 Speaker 1: get your compost and you're like, yeah, no, I'm like, oh, 207 00:11:12,120 --> 00:11:13,839 Speaker 1: I gotta step up because out here, I'm like I 208 00:11:13,880 --> 00:11:15,440 Speaker 1: don't want to drive to the valley for a month. 209 00:11:15,640 --> 00:11:18,000 Speaker 1: And then like these women are like, oh, yeah, you know, 210 00:11:18,160 --> 00:11:20,800 Speaker 1: I saw like I saw some really horrific ship and 211 00:11:20,840 --> 00:11:23,240 Speaker 1: all my friends died, and like, you know, you just 212 00:11:23,240 --> 00:11:25,960 Speaker 1: got to make people laugh because we're very lucky that 213 00:11:26,000 --> 00:11:28,800 Speaker 1: we didn't get killed. So Larry the premise of the 214 00:11:28,840 --> 00:11:31,600 Speaker 1: show for anybody you didn't hear the previous episode where 215 00:11:31,640 --> 00:11:33,760 Speaker 1: we mentioned it is Larry Charles is the guy who 216 00:11:33,800 --> 00:11:38,319 Speaker 1: directed Borat and was the main person on Seinfeld as 217 00:11:39,080 --> 00:11:44,360 Speaker 1: Boo Just a comedy Luminary has done a documentary series 218 00:11:44,360 --> 00:11:46,880 Speaker 1: where he goes around to other cultures and sees what 219 00:11:47,760 --> 00:11:50,560 Speaker 1: comedy is in those different cultures and a lot of 220 00:11:50,559 --> 00:11:53,920 Speaker 1: them are like very dark and violent places, and doesn't 221 00:11:53,920 --> 00:11:56,640 Speaker 1: he interview General butt naked. Yes, yeah, that's the one 222 00:11:56,679 --> 00:12:00,280 Speaker 1: in the In the first he's doing too much that 223 00:12:00,400 --> 00:12:04,360 Speaker 1: he's doing vice videos. I see General everywhere. He says 224 00:12:04,400 --> 00:12:07,480 Speaker 1: he's he's an ex war lord. He talks about how 225 00:12:07,520 --> 00:12:10,920 Speaker 1: he just like after killing literally hundreds of people with 226 00:12:11,000 --> 00:12:14,920 Speaker 1: his hands, like howd it come to Jesus moment and 227 00:12:15,080 --> 00:12:18,400 Speaker 1: was like, maybe I shouldn't kill humans anymore. Uh, maybe 228 00:12:18,440 --> 00:12:21,760 Speaker 1: I shouldn't kill children. Yeah, it's it's really intense. And 229 00:12:21,800 --> 00:12:25,640 Speaker 1: then the later episodes he's got some stuff about like 230 00:12:25,720 --> 00:12:28,520 Speaker 1: more like minorities in the US. H L a comedian 231 00:12:28,679 --> 00:12:31,760 Speaker 1: who I love, Johann Miranda is on episode four. He's 232 00:12:31,840 --> 00:12:34,800 Speaker 1: an undocumented immigrant. He talks about being an undocumented immigrant 233 00:12:34,800 --> 00:12:37,080 Speaker 1: on stage. You know, he's like a DACA guy. So 234 00:12:37,280 --> 00:12:38,640 Speaker 1: it was great to see him. I got real X. 235 00:12:38,679 --> 00:12:41,880 Speaker 1: I didn't know he was going to be Uh, yeah, 236 00:12:41,880 --> 00:12:43,640 Speaker 1: it's it's really good. You know, they talked to some 237 00:12:43,760 --> 00:12:46,680 Speaker 1: like Muslim comedians and what that's like. But you know, 238 00:12:46,760 --> 00:12:49,520 Speaker 1: stand up is such a weird American thing. Stand up 239 00:12:49,520 --> 00:12:51,720 Speaker 1: is very in any other culture in the world. To 240 00:12:51,800 --> 00:12:54,200 Speaker 1: go on stage and talk about your personal life and 241 00:12:54,200 --> 00:12:58,280 Speaker 1: your family is considered embarrassing. Or dangerous, So like, yeah, 242 00:12:58,280 --> 00:13:01,280 Speaker 1: so it's really cool to see, like, you know, American 243 00:13:01,280 --> 00:13:04,280 Speaker 1: culture is is, America's an empire and we're a cultural 244 00:13:04,280 --> 00:13:07,040 Speaker 1: empire too, and like it's so weird to see like 245 00:13:07,080 --> 00:13:10,120 Speaker 1: Iraqi's doing stand up colm right, you know, like that's 246 00:13:10,120 --> 00:13:12,400 Speaker 1: an American thing, it's an American art form, and it's 247 00:13:12,480 --> 00:13:15,480 Speaker 1: very very cool to see other cultures like take on it. 248 00:13:15,480 --> 00:13:18,480 Speaker 1: Basically very interesting. So put that in your queue. But 249 00:13:18,520 --> 00:13:21,960 Speaker 1: then you underrated Larry Charles's Dangerous World. What is something 250 00:13:22,000 --> 00:13:25,080 Speaker 1: you think is overrated? Kathy Griffin out here, Get the 251 00:13:25,080 --> 00:13:28,120 Speaker 1: funk out of your Kathy Griffin. So you know how 252 00:13:28,160 --> 00:13:30,800 Speaker 1: like uh, like this Muslim girl at n y U 253 00:13:31,000 --> 00:13:33,360 Speaker 1: that was like, you know, like at a vigil for 254 00:13:33,360 --> 00:13:36,320 Speaker 1: the New Zealand, Clinton pulled up to Chelsea Clinton and 255 00:13:36,360 --> 00:13:39,319 Speaker 1: you know, had strong words for like an extremely rich woman, 256 00:13:39,480 --> 00:13:43,080 Speaker 1: essentially saying like, because you hopped on the ilhan Omar's 257 00:13:43,160 --> 00:13:46,680 Speaker 1: comments are anti Semitic, You're you're feeding is homophobia saying, 258 00:13:46,720 --> 00:13:50,160 Speaker 1: which is in my opinion, absolutely true. And Chelsea Clinton's like, 259 00:13:50,480 --> 00:13:52,679 Speaker 1: Chelsea Clinton straight up hits her with the I'm sorry 260 00:13:52,720 --> 00:13:57,160 Speaker 1: you feel that, and she didn't lay hands on Chelsea Clinton. 261 00:13:57,400 --> 00:14:01,720 Speaker 1: That's a saint, you know. But but Kathy Griffin tweeted 262 00:14:01,800 --> 00:14:04,640 Speaker 1: at that woman at the at the Muslim woman who 263 00:14:04,679 --> 00:14:06,680 Speaker 1: was getting hate male she was gonna always hate emails, 264 00:14:06,679 --> 00:14:08,360 Speaker 1: and she tweeted she was like, you know, people are 265 00:14:08,360 --> 00:14:11,560 Speaker 1: bullying me online. It's whatever. Kathy Griffin quote tweets her 266 00:14:11,559 --> 00:14:13,760 Speaker 1: and is like, you think this is bullying, I'll show 267 00:14:13,800 --> 00:14:17,840 Speaker 1: you bullying, you fucking pussy. Kathy Griffin called this woman 268 00:14:18,000 --> 00:14:22,960 Speaker 1: a pussy online. What Griffin out? I mean, yeah, one, 269 00:14:23,000 --> 00:14:26,960 Speaker 1: it's like you took the wild risk with your decapitated 270 00:14:26,960 --> 00:14:29,360 Speaker 1: head and effigy photo and you cried in public and 271 00:14:29,440 --> 00:14:32,280 Speaker 1: cried in public. Meanwhile, this one is being like fifty 272 00:14:32,360 --> 00:14:35,480 Speaker 1: people were killed in a mosque and too much, and 273 00:14:35,600 --> 00:14:39,480 Speaker 1: we're we're combating Islamophobia and people being disingenuous about people's 274 00:14:39,520 --> 00:14:44,760 Speaker 1: commentary around Israel's policies, saying that's anti Semitic. His feet, Wow, 275 00:14:45,480 --> 00:14:49,160 Speaker 1: that's not okay. Gather Griffin out, like, no, I don't 276 00:14:49,160 --> 00:14:51,280 Speaker 1: have the patience you know this lady. I mean, she 277 00:14:51,280 --> 00:14:54,520 Speaker 1: hasn't been doing much recently, you know, like has she 278 00:14:54,760 --> 00:14:57,200 Speaker 1: been a comedian for a long time? Yes? Like do 279 00:14:57,240 --> 00:14:59,680 Speaker 1: you does she need to be bullying a woman in 280 00:14:59,760 --> 00:15:03,640 Speaker 1: more learning on Twitter, No bitch, get a job. Not. 281 00:15:05,280 --> 00:15:07,200 Speaker 1: What is a myth? What's something people think is true, 282 00:15:07,240 --> 00:15:09,800 Speaker 1: you know to be false? Uh something that I think 283 00:15:09,840 --> 00:15:12,200 Speaker 1: people is people think is true that I know to 284 00:15:12,280 --> 00:15:15,440 Speaker 1: be false. Uh, well this is this is kind of 285 00:15:15,480 --> 00:15:17,000 Speaker 1: a big one. I'm gonna lay a big one. I 286 00:15:17,880 --> 00:15:20,800 Speaker 1: think A big myth that is maybe used to be 287 00:15:20,840 --> 00:15:23,200 Speaker 1: true and is no longer true is that entertainment has 288 00:15:23,240 --> 00:15:25,680 Speaker 1: to be controlled by huge corporations just because they're the 289 00:15:25,720 --> 00:15:28,240 Speaker 1: only things we've ever known to make entertainment. Now that 290 00:15:28,280 --> 00:15:31,360 Speaker 1: we have the Internet, people are like, whoa, you can 291 00:15:31,400 --> 00:15:33,280 Speaker 1: just make stuff and people will watch it, you know. 292 00:15:33,600 --> 00:15:35,040 Speaker 1: Now that we have Patreon, we have all these like 293 00:15:35,080 --> 00:15:38,520 Speaker 1: independent creators, you know, and what YouTube kind of used 294 00:15:38,560 --> 00:15:40,040 Speaker 1: to be, which was like just make your ship and 295 00:15:40,040 --> 00:15:42,480 Speaker 1: if people like it, then they'll give you money. Um. 296 00:15:42,560 --> 00:15:45,120 Speaker 1: But I think now that that's not really it's not 297 00:15:45,160 --> 00:15:47,920 Speaker 1: true anymore that you need to be like a huge 298 00:15:47,920 --> 00:15:51,600 Speaker 1: evil corporation to make TV. And Uh, what I've been 299 00:15:51,640 --> 00:15:54,440 Speaker 1: working on recently is I'm working with this channel to 300 00:15:54,560 --> 00:15:56,800 Speaker 1: be called Means TV that they want to be an 301 00:15:56,920 --> 00:16:00,880 Speaker 1: entertainment streaming platform online. But it's not a corporation. It's 302 00:16:00,880 --> 00:16:03,080 Speaker 1: a worker cooperative. It's a work around cooperative. And they 303 00:16:03,080 --> 00:16:05,200 Speaker 1: want to like make the kind of ship that you'll 304 00:16:05,240 --> 00:16:08,120 Speaker 1: never see on Amazon because Amazon will never have a 305 00:16:08,120 --> 00:16:11,400 Speaker 1: documentary about how Amazon is evil, and like Netflix will 306 00:16:11,440 --> 00:16:13,640 Speaker 1: never have a documentary about how like the billionaires that 307 00:16:13,640 --> 00:16:16,320 Speaker 1: owned Netflix straight up do not pay taxes like or 308 00:16:16,400 --> 00:16:18,680 Speaker 1: underpay people. And the guys being like, oh, this isn't 309 00:16:18,680 --> 00:16:22,440 Speaker 1: traditional content. It's digital, so we're not going to pay unions. Yeah, 310 00:16:22,440 --> 00:16:23,560 Speaker 1: and it's like, you know, where where are you going 311 00:16:23,600 --> 00:16:26,160 Speaker 1: to go for like entertainment and news of that kind 312 00:16:26,160 --> 00:16:28,600 Speaker 1: of like go to vice vices? Is weird, all right? Thing? 313 00:16:28,680 --> 00:16:32,160 Speaker 1: It's like really everything's got some crazy like shadow money 314 00:16:32,160 --> 00:16:35,440 Speaker 1: behind it. So I've been you know, working with this 315 00:16:35,560 --> 00:16:38,000 Speaker 1: channel this Uh they're a production company. They made like 316 00:16:38,040 --> 00:16:40,520 Speaker 1: all these campaign videos, they made the Alexandria Cosio Cortest 317 00:16:40,520 --> 00:16:42,520 Speaker 1: campaign video, and now they want to make fucking TV 318 00:16:42,600 --> 00:16:46,240 Speaker 1: shows And I'm like ship yeah, and also probably way 319 00:16:46,280 --> 00:16:49,000 Speaker 1: more sustainable than a corporation, which feels like they need 320 00:16:49,000 --> 00:16:51,520 Speaker 1: to always like grow. Yeah, I mean crazy thing is 321 00:16:51,560 --> 00:16:54,240 Speaker 1: like Netflix is operating at a deficit, Hulu is operating 322 00:16:54,240 --> 00:16:57,360 Speaker 1: who lost a one point five billion last year. They're 323 00:16:57,360 --> 00:17:00,440 Speaker 1: just getting that money from Disney and like, so is 324 00:17:00,480 --> 00:17:02,680 Speaker 1: very cool. They're trying to raise money through it's like 325 00:17:02,720 --> 00:17:05,080 Speaker 1: a subscription based thing, and then they're also doing a 326 00:17:05,080 --> 00:17:07,639 Speaker 1: fundraiser that starts on the twenty one. So they're going 327 00:17:07,680 --> 00:17:09,320 Speaker 1: to be releasing a bunch of content for like ten 328 00:17:09,359 --> 00:17:12,720 Speaker 1: weeks on my YouTube channel. If you like noon Cat, 329 00:17:12,800 --> 00:17:14,919 Speaker 1: if you were subscribed to my channel, people don't know, 330 00:17:15,040 --> 00:17:18,000 Speaker 1: you're gonna start getting this propaganda bab People don't know 331 00:17:18,080 --> 00:17:22,280 Speaker 1: Sarah created Yanket. My YouTube channel is home to uh, 332 00:17:22,320 --> 00:17:27,080 Speaker 1: you know, Internet Internet faith. Yon Cat I'm going to say, yeah, 333 00:17:27,119 --> 00:17:31,359 Speaker 1: I can't describe is an old meme. Yon Cat is 334 00:17:31,400 --> 00:17:33,760 Speaker 1: a meme Fromleven. It's like a gift of a cat 335 00:17:34,040 --> 00:17:36,760 Speaker 1: and it's you know, dancing through space and there's a 336 00:17:36,880 --> 00:17:40,159 Speaker 1: song and you know rainbow. You know your kids love it. 337 00:17:40,720 --> 00:17:43,480 Speaker 1: You've seen it before. You know, Cosmo tried to cancel YANCT. 338 00:17:43,760 --> 00:17:46,920 Speaker 1: Cosmo tried to cancel They said Yanket is canceled Cosmo 339 00:17:46,960 --> 00:17:49,600 Speaker 1: the magazine. Yeah, why they try to care, I don't know. Said. 340 00:17:49,720 --> 00:17:54,960 Speaker 1: Very problematic is that where people like, have you seen 341 00:17:55,040 --> 00:17:58,760 Speaker 1: yanket does not hold up? I want to feel old, 342 00:17:59,600 --> 00:18:03,399 Speaker 1: just cut with like a swastika. We didn't notice that 343 00:18:04,200 --> 00:18:11,240 Speaker 1: ship started watching other YouTube videos real. Yeah, so yeah, 344 00:18:11,240 --> 00:18:13,680 Speaker 1: I'm very excited about that. That's kind of like my 345 00:18:13,760 --> 00:18:15,760 Speaker 1: big It's kind of like it's a weird pitch. You know, 346 00:18:15,880 --> 00:18:20,320 Speaker 1: it was like what if Netflix wasn't like kind of evil. Yeah, 347 00:18:20,760 --> 00:18:23,280 Speaker 1: I'm excited about that too. That sounds awesome. Check it out. 348 00:18:23,440 --> 00:18:28,440 Speaker 1: All right, guys, let's talk about soda sody pop where 349 00:18:28,480 --> 00:18:32,320 Speaker 1: you're from? What century? Because nobody calls it sody popping, 350 00:18:33,720 --> 00:18:39,159 Speaker 1: but so SSBs is what we're referring to them, sugar 351 00:18:39,320 --> 00:18:43,640 Speaker 1: sweetened beverages. About the carbonation part, what's anything? It's mostly 352 00:18:43,680 --> 00:18:45,760 Speaker 1: they're not It's not just so it's like the wild 353 00:18:45,880 --> 00:18:49,120 Speaker 1: sugary drinker. We're just talking about sugar water, sugar waters, 354 00:18:49,280 --> 00:18:53,080 Speaker 1: gatorades even, you know, like gatorade, wacky juices. There's a 355 00:18:53,080 --> 00:18:56,160 Speaker 1: lot of sugar and gatorade. Yeah, it's just sports drinks. 356 00:18:56,320 --> 00:18:59,159 Speaker 1: I mean it's not like as well, my teeth with 357 00:18:59,359 --> 00:19:02,080 Speaker 1: skin like that's what I treat get rid as water. 358 00:19:02,280 --> 00:19:04,440 Speaker 1: I know you Yeah, you take that mouth guard. You 359 00:19:04,600 --> 00:19:06,680 Speaker 1: just put a little bit of rip tide Russian there 360 00:19:06,720 --> 00:19:13,240 Speaker 1: and yellow Yeah. Yeah, dude. So this study comes out 361 00:19:13,280 --> 00:19:15,840 Speaker 1: from Harvard. I think everyone had always known. Our parents 362 00:19:15,920 --> 00:19:17,800 Speaker 1: had always been like, so does bad for you? And 363 00:19:17,840 --> 00:19:20,080 Speaker 1: if you had an immigrant parents, y'all, they said that 364 00:19:20,160 --> 00:19:21,920 Speaker 1: she was the devil. My mom would never let me drink. 365 00:19:21,920 --> 00:19:23,760 Speaker 1: So yeah, and I had to sneak off to my 366 00:19:23,840 --> 00:19:25,800 Speaker 1: white neighbor's house to be like, can I have a sprite? 367 00:19:27,040 --> 00:19:30,120 Speaker 1: Oh you know when I got coke? Birthday? Oh? Really birthday? 368 00:19:30,200 --> 00:19:34,200 Speaker 1: That's it? Like eight ball or just a Graham. Pretty 369 00:19:34,200 --> 00:19:38,320 Speaker 1: sick parenting anyway. So this this study comes out that 370 00:19:38,480 --> 00:19:40,800 Speaker 1: basically was showing that like any you know, depending on 371 00:19:40,840 --> 00:19:43,080 Speaker 1: how many sodas you drink, the more you drink can 372 00:19:43,280 --> 00:19:47,320 Speaker 1: increase your risks of dying from any cause, not just 373 00:19:47,440 --> 00:19:50,399 Speaker 1: something specifically, just like in general. There's linking that to 374 00:19:50,760 --> 00:19:54,159 Speaker 1: you know, lower life expectancy. So they're saying this is 375 00:19:54,200 --> 00:19:56,600 Speaker 1: from this study says compared to drinking sugar, sweet and 376 00:19:56,640 --> 00:19:58,960 Speaker 1: beverages less than once per month, drinking one to four 377 00:19:59,000 --> 00:20:01,320 Speaker 1: sugary drinks per month, that was linked with a one 378 00:20:01,440 --> 00:20:04,439 Speaker 1: percent increased risk, two to six per week, six percent 379 00:20:04,640 --> 00:20:09,080 Speaker 1: increased risk, one to two per day increased risk, drinks 380 00:20:09,119 --> 00:20:13,320 Speaker 1: per day A lot of motherfucker's are yes. So the 381 00:20:13,520 --> 00:20:18,040 Speaker 1: first question I had does this transfer to diet sodas? Okay, 382 00:20:18,160 --> 00:20:20,960 Speaker 1: So cut to there's a study from the American Heart 383 00:20:21,040 --> 00:20:25,520 Speaker 1: Association that's said drinking drinking two or more of any 384 00:20:25,600 --> 00:20:28,960 Speaker 1: kind of artificially sweet and drinks. So when a caveat 385 00:20:29,000 --> 00:20:31,280 Speaker 1: here is this They've noticed that in the study that 386 00:20:31,520 --> 00:20:35,680 Speaker 1: these drinks tend to affect women more than they hold 387 00:20:35,720 --> 00:20:39,000 Speaker 1: on to your butts, because just drinking to a day 388 00:20:39,720 --> 00:20:42,320 Speaker 1: can increase your risk of a clock based stroke or 389 00:20:42,359 --> 00:20:46,640 Speaker 1: heart attack pretty significantly. Someone get me a damn eighteen pack. 390 00:20:46,720 --> 00:20:49,320 Speaker 1: I want to die, especially if you're over fifties. So again, 391 00:20:49,440 --> 00:20:51,480 Speaker 1: these aren't like just saying it's they're they're not saying 392 00:20:51,520 --> 00:20:53,240 Speaker 1: to treat this as like a monoth right, like everyone 393 00:20:53,320 --> 00:20:57,399 Speaker 1: has different health situations, different exercise routines or whatever. But 394 00:20:57,520 --> 00:20:59,520 Speaker 1: in general, they're just saying, like, if you just let 395 00:20:59,600 --> 00:21:01,760 Speaker 1: it rock and you're you're drinking wild sodas all the time, 396 00:21:01,840 --> 00:21:04,440 Speaker 1: then maybe it will wear you down. All I'm hearing 397 00:21:04,480 --> 00:21:07,080 Speaker 1: from this is that this is a socially acceptable way 398 00:21:07,160 --> 00:21:10,800 Speaker 1: to drink yourself to death exactly. Hell yeah, yeah, you 399 00:21:10,880 --> 00:21:13,920 Speaker 1: won't shoot yourself in public? Yeah, you can go to 400 00:21:14,000 --> 00:21:16,600 Speaker 1: work and drink sodas. Nobody says ship. I'm like, I'm 401 00:21:16,920 --> 00:21:21,600 Speaker 1: pouring coke in my whiskey bottle. Yeah yeah, more bad 402 00:21:21,680 --> 00:21:26,080 Speaker 1: news for white people. Juice is also just sugar water. 403 00:21:26,320 --> 00:21:30,720 Speaker 1: It turns out you have moms. That what's going on? 404 00:21:31,240 --> 00:21:33,480 Speaker 1: You guys just do Americans just not have money? Just 405 00:21:33,760 --> 00:21:36,600 Speaker 1: I thought I thought orange juice was just juice, was 406 00:21:36,680 --> 00:21:40,919 Speaker 1: just orange orange heal liquid. Yeah yeah, yeah, Well that's 407 00:21:40,960 --> 00:21:43,320 Speaker 1: that's real bad for you. I think. Also, when you're 408 00:21:43,359 --> 00:21:45,760 Speaker 1: drinking a big glass of yogurt, I know we've got 409 00:21:45,840 --> 00:21:48,560 Speaker 1: the kaffir or whatever, kaffir keefer? How do you call that? 410 00:21:49,080 --> 00:21:50,640 Speaker 1: We don't know. We still don't know what. I don't know, man, 411 00:21:50,840 --> 00:21:55,000 Speaker 1: my throat is too clogged up. It's so freaking I'm 412 00:21:55,040 --> 00:21:57,440 Speaker 1: so fum. I can't believe you guys have keefer in 413 00:21:57,480 --> 00:22:00,080 Speaker 1: the office. It's so we're out here, you know what 414 00:22:00,160 --> 00:22:02,520 Speaker 1: I think it is though, it's probably like our parents, 415 00:22:02,680 --> 00:22:05,119 Speaker 1: not like growing up outside of the United States. They 416 00:22:05,160 --> 00:22:07,760 Speaker 1: grew up, especially my mom, the US bombed ship out 417 00:22:07,760 --> 00:22:09,840 Speaker 1: of Japan, so they're like, what are they doing over there? 418 00:22:10,359 --> 00:22:14,400 Speaker 1: Like soda? I don't know, although now you know Japanese 419 00:22:14,760 --> 00:22:19,080 Speaker 1: sodas are so fucking sweet it will I little preserve 420 00:22:19,119 --> 00:22:21,440 Speaker 1: your insides if that's a thing with sugar. But but 421 00:22:21,520 --> 00:22:24,240 Speaker 1: they treat it as like a novelty like KFC, like 422 00:22:24,440 --> 00:22:27,320 Speaker 1: it's not a daily staple of the diet. Well, you know, 423 00:22:27,400 --> 00:22:29,960 Speaker 1: on a continuum, people are gaining weight there because more 424 00:22:30,040 --> 00:22:32,959 Speaker 1: sugary foods and more you know, like processed foods are 425 00:22:33,040 --> 00:22:36,600 Speaker 1: entering the Japanese diet. But you know, but culturally, like 426 00:22:36,800 --> 00:22:38,520 Speaker 1: that's not a that's not a thing that you just 427 00:22:38,640 --> 00:22:41,000 Speaker 1: like keeping your well, there's a lot more like there's 428 00:22:41,040 --> 00:22:45,040 Speaker 1: a lot more awareness of basic nutrition in pretty much 429 00:22:45,040 --> 00:22:47,040 Speaker 1: almost every other country, and a lot of that I 430 00:22:47,119 --> 00:22:49,560 Speaker 1: think has to do with poverty. You know, it just 431 00:22:49,680 --> 00:22:51,520 Speaker 1: has to do with like when you're poor and you 432 00:22:51,640 --> 00:22:53,520 Speaker 1: only have a few things to eat, like you can't 433 00:22:53,560 --> 00:22:55,359 Speaker 1: really funk up, you know. And I was like, oh, 434 00:22:55,440 --> 00:22:57,200 Speaker 1: let's get that fried cheeseburger. And also, you know, like 435 00:22:57,400 --> 00:23:02,320 Speaker 1: nutritionally speaking versus for this price, soda gives you like nothing, 436 00:23:02,520 --> 00:23:05,200 Speaker 1: you know, it's just fun to drink sugar, you know, 437 00:23:05,320 --> 00:23:08,800 Speaker 1: tastes good. But like, but I think soda companies target 438 00:23:09,040 --> 00:23:14,400 Speaker 1: people like lower income fa with their marketing and assume 439 00:23:14,480 --> 00:23:18,040 Speaker 1: that there's like an information desert and a nutrition dessert. 440 00:23:18,640 --> 00:23:22,200 Speaker 1: So yeah, you know, it happens in both ways, I think. 441 00:23:22,359 --> 00:23:24,840 Speaker 1: But yeah, and that's why it's the rise of the 442 00:23:24,920 --> 00:23:28,119 Speaker 1: Seltzer water space. But I honestly think that like white 443 00:23:28,240 --> 00:23:33,600 Speaker 1: Americans like just having no sense of like that juice 444 00:23:33,720 --> 00:23:36,000 Speaker 1: is bad or that soda is bad, is just like 445 00:23:36,560 --> 00:23:39,479 Speaker 1: there's no tradition that they're latched onto. It's also why 446 00:23:39,520 --> 00:23:42,080 Speaker 1: our food is fast. It's like there's not a traditional 447 00:23:42,480 --> 00:23:45,160 Speaker 1: but everybody's eating unhealthy though I don't think white people 448 00:23:45,240 --> 00:23:49,600 Speaker 1: on that, but I'm out here thinking, you know, my 449 00:23:49,960 --> 00:23:53,000 Speaker 1: grandma thought juice was good too. I mean, juice is good, 450 00:23:53,280 --> 00:23:55,200 Speaker 1: like I mean, it is delicious. I mean, if you're 451 00:23:55,200 --> 00:23:58,600 Speaker 1: comparing juice to soda, obviously just for you, but not 452 00:23:58,840 --> 00:24:00,520 Speaker 1: that much better. Right. Well, it's like, you know, I 453 00:24:00,560 --> 00:24:02,960 Speaker 1: feel like every other culture of the world is like, 454 00:24:02,960 --> 00:24:05,359 Speaker 1: oh yeah, fruit is candy. Fruit is candy, and then 455 00:24:05,400 --> 00:24:07,239 Speaker 1: you also have candy which is made of sugar. Right. 456 00:24:07,359 --> 00:24:09,680 Speaker 1: But but I guess like white American culture is sort 457 00:24:09,720 --> 00:24:13,200 Speaker 1: of like fruit is a vegetable and candy is a food. 458 00:24:13,960 --> 00:24:17,080 Speaker 1: That's there, you go. That's how I was raised and 459 00:24:17,160 --> 00:24:20,000 Speaker 1: I'm sticking to it. We'll get into Fox and Friends 460 00:24:20,119 --> 00:24:23,720 Speaker 1: later because they were drinking milkshakes in Times Square. Cannot 461 00:24:23,760 --> 00:24:26,320 Speaker 1: wait for the conservatives to be drinking big gulps in 462 00:24:26,480 --> 00:24:30,680 Speaker 1: protest of this cultural Marxism against soda. Yeah, just straight 463 00:24:30,760 --> 00:24:33,840 Speaker 1: up canning cancer to own the lip. Alright, we're gonna 464 00:24:33,880 --> 00:24:46,160 Speaker 1: take a quick break. We'll be right back. And we're back, 465 00:24:47,080 --> 00:24:50,639 Speaker 1: and Devin Nunez is back of the headlines. He is 466 00:24:51,560 --> 00:24:55,840 Speaker 1: suing his mom. Okay, sorry I missed right now. I 467 00:24:55,920 --> 00:24:58,040 Speaker 1: guess I didn't do enough research on this story. He's 468 00:24:58,080 --> 00:25:05,199 Speaker 1: suing Twitter for two fifty dollars million. Okay, that makes sense, right, 469 00:25:05,480 --> 00:25:10,040 Speaker 1: because he thinks that Twitter was artificially holding him down 470 00:25:10,440 --> 00:25:15,280 Speaker 1: and shadow Yeah, yeah, he's what he claims, which is 471 00:25:15,320 --> 00:25:18,360 Speaker 1: the most like sensible part of his suit. The other 472 00:25:18,480 --> 00:25:20,200 Speaker 1: parts of his suit are like, people were mean to 473 00:25:20,240 --> 00:25:22,960 Speaker 1: me on Twitter. People tweeted at my mom. Well no, no, 474 00:25:23,200 --> 00:25:25,760 Speaker 1: So here's the thing. He's suing Twitter, and then he's 475 00:25:25,760 --> 00:25:29,520 Speaker 1: suing two anonymous Twitter users at Devin nonez mom and 476 00:25:29,680 --> 00:25:35,040 Speaker 1: at Devon's cow. It's not my cow. A political consultant, 477 00:25:35,119 --> 00:25:37,800 Speaker 1: her name is Liz Mayer, who's a Republican political consultant 478 00:25:37,840 --> 00:25:40,000 Speaker 1: for and like all these accounts in this woman Liz Merit, 479 00:25:40,119 --> 00:25:43,000 Speaker 1: he's suing them for defamation and then accusing Twitter of 480 00:25:43,080 --> 00:25:46,560 Speaker 1: shadow baning him and other conservatives. And then he's just 481 00:25:46,600 --> 00:25:48,199 Speaker 1: saying like, oh, this is just the beginning. I am 482 00:25:48,280 --> 00:25:50,399 Speaker 1: suing so many people. A lot of people are like, 483 00:25:50,800 --> 00:25:53,280 Speaker 1: this is just a stunt, because let's be real, this 484 00:25:53,359 --> 00:25:55,840 Speaker 1: isn't gonna hold up, Like it's They're not the first 485 00:25:55,880 --> 00:25:58,639 Speaker 1: person to sue Twitter, right exactly. And also for defamation, 486 00:25:58,840 --> 00:26:01,000 Speaker 1: you think people like has to pass the first thing 487 00:26:01,040 --> 00:26:03,240 Speaker 1: where people would be like, oh, this is at Devin 488 00:26:03,320 --> 00:26:05,959 Speaker 1: noon as mom is actually at Devon. Noonezs mom who 489 00:26:06,040 --> 00:26:08,680 Speaker 1: says he has her face, you know what I mean? 490 00:26:09,040 --> 00:26:12,520 Speaker 1: And when you read the mother and this is a 491 00:26:12,640 --> 00:26:16,120 Speaker 1: dead on impression my mother, there is no way, right, 492 00:26:16,440 --> 00:26:18,239 Speaker 1: And so it goes on. You know. More specifically, he's 493 00:26:18,280 --> 00:26:21,480 Speaker 1: saying that Twitter quote intended to generate and proliferate false 494 00:26:21,520 --> 00:26:24,879 Speaker 1: and defamatory statements about him and influence the midterms, was 495 00:26:24,920 --> 00:26:28,560 Speaker 1: trying to intimidate him, uh, you know, during his investigations. 496 00:26:28,720 --> 00:26:31,640 Speaker 1: Blah blah blah. Everyone's just sort of laughing it off. Now, 497 00:26:32,200 --> 00:26:34,119 Speaker 1: like when you really look at some of the things, right, 498 00:26:34,240 --> 00:26:36,880 Speaker 1: it's really absurd, like Devin Noon his mom or Devin 499 00:26:36,960 --> 00:26:39,919 Speaker 1: cow I can't remember. One of the anonymous account posted 500 00:26:40,000 --> 00:26:42,359 Speaker 1: like a meme of like a human centipede with Putin 501 00:26:42,400 --> 00:26:45,040 Speaker 1: at that at the top, than Trump, than Devon Nounez, 502 00:26:45,119 --> 00:26:47,040 Speaker 1: and he was like, oh, this is this is defamatory. 503 00:26:47,280 --> 00:26:49,440 Speaker 1: They're like, are you actually y'all hooked up in a 504 00:26:49,760 --> 00:26:53,560 Speaker 1: weird medical experiment like that? Um? Then he points there's 505 00:26:53,560 --> 00:26:56,199 Speaker 1: like points to tweets like from at Devon cow Sadly 506 00:26:56,280 --> 00:26:58,560 Speaker 1: it says hanging out on the dairy in Iowa looking 507 00:26:58,600 --> 00:27:00,639 Speaker 1: for the little treas and his cow poke is the 508 00:27:01,000 --> 00:27:05,240 Speaker 1: is the bio of Devin cow Um, which has followers. 509 00:27:05,600 --> 00:27:08,400 Speaker 1: And another one says Devin's boots are full of manure. 510 00:27:08,720 --> 00:27:12,439 Speaker 1: Oh boy, god, you might go to jail, sir might 511 00:27:12,520 --> 00:27:14,959 Speaker 1: report that his boots are full of Yeah. This other 512 00:27:15,040 --> 00:27:18,920 Speaker 1: one he's utterly worthless and it's past your time to 513 00:27:19,280 --> 00:27:24,200 Speaker 1: move him to prison. Deserves being sued. That's bad. Yeah, 514 00:27:24,280 --> 00:27:26,760 Speaker 1: well so these people are not I don't think you 515 00:27:26,880 --> 00:27:32,240 Speaker 1: got it so moved? Does that change anything? Still terrible? Yeah? Okay, 516 00:27:32,320 --> 00:27:34,840 Speaker 1: lazy put So he's going on, you know, saying, we 517 00:27:34,920 --> 00:27:37,200 Speaker 1: gotta we have to figure out who's behind these accounts 518 00:27:37,680 --> 00:27:40,640 Speaker 1: because like pretending to be my mother and my cow. 519 00:27:41,560 --> 00:27:44,560 Speaker 1: And he says, because quote the corruption of American democracy 520 00:27:44,640 --> 00:27:48,399 Speaker 1: and society by intentional falsehoods, fraud, and defamation must stop. 521 00:27:48,800 --> 00:27:51,720 Speaker 1: So I'm so glad that the handle at Devin Nun's 522 00:27:51,760 --> 00:27:53,520 Speaker 1: mom is making it into a court talk. I know, 523 00:27:53,880 --> 00:27:56,040 Speaker 1: but in the actual criminal and the complaint in the 524 00:27:56,119 --> 00:27:58,800 Speaker 1: lawsuit says, the identity of those behind these Twitter accounts 525 00:27:58,800 --> 00:28:00,560 Speaker 1: is a matter of great public and earned whether the 526 00:28:00,600 --> 00:28:03,920 Speaker 1: accounts are controlled by wealthy Democrats, the Democratic National Committee, 527 00:28:04,000 --> 00:28:09,440 Speaker 1: and opposition research firm such as Fusion GPS. I don't 528 00:28:09,440 --> 00:28:11,320 Speaker 1: know what he's trying to see this, trying to connect 529 00:28:11,359 --> 00:28:13,080 Speaker 1: this to this deal. Does the d n C is 530 00:28:13,160 --> 00:28:15,680 Speaker 1: not this good at Twitter? It's definitely not that. And 531 00:28:15,760 --> 00:28:19,760 Speaker 1: then then says or quote the Russians or quote the 532 00:28:20,040 --> 00:28:23,240 Speaker 1: Chinese with quote I don't know why it's quoted, or 533 00:28:23,320 --> 00:28:26,040 Speaker 1: some other foreign government or non governmental organization. The coruption 534 00:28:26,119 --> 00:28:28,280 Speaker 1: anyway goes on blah blah blah. So I like that 535 00:28:28,359 --> 00:28:30,360 Speaker 1: he's even trying to be like, could be Fusion GPS. 536 00:28:30,400 --> 00:28:31,840 Speaker 1: I don't know, y'all, yo, I don't know. I think 537 00:28:31,880 --> 00:28:35,560 Speaker 1: the Koch brothers are tweeting at me. It's it's really 538 00:28:35,640 --> 00:28:39,640 Speaker 1: really but it's a pathetic one. Yeah. And also like 539 00:28:39,720 --> 00:28:42,360 Speaker 1: when you look at when he talks about, oh, you know, 540 00:28:42,440 --> 00:28:44,560 Speaker 1: I'm getting shadow band, like you know, when when you 541 00:28:44,600 --> 00:28:46,760 Speaker 1: actually look at like why the metrics are low for 542 00:28:46,840 --> 00:28:50,240 Speaker 1: certain people. Twitter has an algorithm in the wake of 543 00:28:50,360 --> 00:28:53,720 Speaker 1: all the bottery that was going on that when you 544 00:28:53,840 --> 00:28:56,760 Speaker 1: interact at the bottery, thank you. When you're when people 545 00:28:56,840 --> 00:28:59,720 Speaker 1: interact with fringe accounts what they consider fringe accounts, repeatedly 546 00:29:00,160 --> 00:29:04,080 Speaker 1: they say, oh, that's someone who's interacting with sensational fake news, 547 00:29:04,240 --> 00:29:06,560 Speaker 1: and it's probably like, this isn't the kind of user 548 00:29:06,840 --> 00:29:09,680 Speaker 1: that it's. That's sort of a safe fail safe to 549 00:29:09,720 --> 00:29:11,240 Speaker 1: be like, that's how we're going to try and curb it. 550 00:29:11,280 --> 00:29:14,560 Speaker 1: Because you're interacting with accounts that are you couldn't just 551 00:29:14,640 --> 00:29:17,000 Speaker 1: remove the Nazis. That would be crazy. No, of course, 552 00:29:17,080 --> 00:29:19,280 Speaker 1: god right, but they did really good at getting rid 553 00:29:19,320 --> 00:29:21,600 Speaker 1: of those ices accounts. So if you're interacting with bots, 554 00:29:21,640 --> 00:29:25,120 Speaker 1: you get flagged. And yeah, because so many conservative accounts 555 00:29:25,160 --> 00:29:29,640 Speaker 1: are bots, and because they are parati their followers or 556 00:29:29,760 --> 00:29:32,880 Speaker 1: retweeting bought tweets. Then they're like, oh, you're trying to 557 00:29:32,960 --> 00:29:38,600 Speaker 1: amplify this user, yeah, but but avoiding even considering that 558 00:29:38,680 --> 00:29:39,760 Speaker 1: and just being like, oh, I mean look at what 559 00:29:39,760 --> 00:29:42,560 Speaker 1: look at was that we're getting deep stated, right? Yeah? Yeah, 560 00:29:42,840 --> 00:29:49,040 Speaker 1: Because as you're going deep state, someone's pretending to be 561 00:29:49,120 --> 00:29:55,000 Speaker 1: my cow, I mean real cow is furious. A journalist 562 00:29:55,080 --> 00:29:57,560 Speaker 1: tried to look into there. There was something with Devin 563 00:29:57,640 --> 00:30:01,520 Speaker 1: nung Is this family claiming to be from California, but 564 00:30:01,680 --> 00:30:04,320 Speaker 1: they actually own a dairy farm that they had moved 565 00:30:04,400 --> 00:30:08,840 Speaker 1: to I think Iowa or Idaho, And a journalist tried 566 00:30:08,880 --> 00:30:11,280 Speaker 1: to look into it and Devon doing his actual mom 567 00:30:11,440 --> 00:30:15,560 Speaker 1: and his actual cow like tried to intimidate this person 568 00:30:15,800 --> 00:30:18,760 Speaker 1: and basically like start talking to people in the town 569 00:30:19,280 --> 00:30:22,080 Speaker 1: to like tell them that they would be like in trouble. 570 00:30:22,160 --> 00:30:24,760 Speaker 1: It was like very like menacing. They were like shadowing 571 00:30:24,880 --> 00:30:28,480 Speaker 1: him everywhere and ship like. So the stuff that again 572 00:30:28,840 --> 00:30:32,240 Speaker 1: just you always have to know whatever conservatives are accusing 573 00:30:32,280 --> 00:30:35,719 Speaker 1: other people of, like that is what they do, uh, 574 00:30:35,840 --> 00:30:40,640 Speaker 1: and bullying in real life, yeah, exactly. And also like 575 00:30:40,680 --> 00:30:42,520 Speaker 1: when you think about that dairy farm, there's a lot 576 00:30:42,600 --> 00:30:46,360 Speaker 1: of you know, they're like they may be employing undocumented immigrants. Yeah, 577 00:30:46,400 --> 00:30:49,000 Speaker 1: that was kind of the idea behind the story, is 578 00:30:49,120 --> 00:30:53,520 Speaker 1: he was going to look, so this family just doesn't 579 00:30:53,840 --> 00:30:55,760 Speaker 1: ever talk about the fact that Devon doing is is 580 00:30:55,840 --> 00:30:58,560 Speaker 1: their son, like they it's just like removed from all 581 00:30:58,600 --> 00:31:01,440 Speaker 1: their documents. And he was like there's yeah. Yeah, so 582 00:31:01,640 --> 00:31:06,160 Speaker 1: he went and looked into it, and no, wonder it's 583 00:31:06,200 --> 00:31:07,960 Speaker 1: because he's first of all, and the family is not 584 00:31:08,040 --> 00:31:11,280 Speaker 1: actually in California where he claims, and also his back 585 00:31:11,360 --> 00:31:14,600 Speaker 1: story about like being a pull himself up as bootstraps 586 00:31:14,640 --> 00:31:19,040 Speaker 1: thing as bullshit. And also they employed tons of undocumented workers. 587 00:31:19,640 --> 00:31:23,280 Speaker 1: And that's the paradoxical, uh, you know world we live 588 00:31:23,320 --> 00:31:25,160 Speaker 1: in where people on one hand going to be like, oh, 589 00:31:25,200 --> 00:31:28,920 Speaker 1: we gotta do something about this, like and they're my employees. Yeah. California, 590 00:31:29,640 --> 00:31:32,720 Speaker 1: California Republicans and farm owners got a little bit of 591 00:31:32,800 --> 00:31:35,440 Speaker 1: a bite in the ass from from voting for Trump. 592 00:31:35,560 --> 00:31:37,480 Speaker 1: They were like, wait a second, Wait a second, I 593 00:31:37,480 --> 00:31:39,680 Speaker 1: thought you were going to take away the other the 594 00:31:39,800 --> 00:31:43,440 Speaker 1: other illegal immigrant, not the ones that I there's other ones, 595 00:31:43,600 --> 00:31:46,040 Speaker 1: the ones at the border that are the rape ones. 596 00:31:47,280 --> 00:31:54,040 Speaker 1: Not that all my all, my chattel. Yeah, it's really 597 00:31:54,240 --> 00:31:58,640 Speaker 1: it's really just it's pretty funny. I mean really, yeah, no, 598 00:31:58,800 --> 00:32:01,240 Speaker 1: honestly it is. And then just to see the like 599 00:32:01,560 --> 00:32:04,680 Speaker 1: response from his family to be like trying to keep tony. 600 00:32:05,080 --> 00:32:08,600 Speaker 1: I mean, nothing says, you know, I murdered Devon's brothers 601 00:32:08,680 --> 00:32:11,160 Speaker 1: and buried them in the cow shed, like following around 602 00:32:11,160 --> 00:32:13,440 Speaker 1: a reporter and being like, no thing's going on here, 603 00:32:13,760 --> 00:32:15,480 Speaker 1: but you just go and if you talk, you're in trouble. 604 00:32:15,640 --> 00:32:20,920 Speaker 1: Yeah yeah, yeah, very normal family. So I wanted to 605 00:32:21,200 --> 00:32:23,640 Speaker 1: just check in with New Zealand in the response to 606 00:32:23,720 --> 00:32:27,880 Speaker 1: the terror attack. I just there's been some interesting stories. 607 00:32:27,960 --> 00:32:31,880 Speaker 1: First of all, there's the faith blurring at the arraignment 608 00:32:32,160 --> 00:32:35,800 Speaker 1: that I had assumed was, you know, them trying to 609 00:32:36,240 --> 00:32:39,600 Speaker 1: just cover the person who did the killing up so 610 00:32:39,760 --> 00:32:43,840 Speaker 1: that he wouldn't get the publicity that he was clearly 611 00:32:44,000 --> 00:32:47,360 Speaker 1: after I mean, he fucking live streamed the terror attack. 612 00:32:47,520 --> 00:32:53,160 Speaker 1: But it's actually right. It's apparently they do that because 613 00:32:54,040 --> 00:32:56,840 Speaker 1: they want to, like there's a New Zealand law that 614 00:32:56,920 --> 00:32:59,840 Speaker 1: says they have to do that in order to give 615 00:32:59,880 --> 00:33:02,400 Speaker 1: the person a fair trial, which doesn't really make sense 616 00:33:02,480 --> 00:33:06,120 Speaker 1: because it is even though the face of the word, 617 00:33:06,120 --> 00:33:09,479 Speaker 1: I'm like, he looks like a redheaded white person right 618 00:33:09,680 --> 00:33:12,240 Speaker 1: with suremises, But I'm so curious, like what they would 619 00:33:12,240 --> 00:33:14,800 Speaker 1: do if it was someone with darker skin, Like what 620 00:33:14,960 --> 00:33:17,240 Speaker 1: good does that do? Because if people's bias is going 621 00:33:17,280 --> 00:33:21,960 Speaker 1: to be like yeah, you know, general like in any 622 00:33:22,040 --> 00:33:24,200 Speaker 1: other case, right, if it were someone like if you're 623 00:33:24,200 --> 00:33:27,680 Speaker 1: not fully obscuring, you can still glean like so like 624 00:33:27,800 --> 00:33:30,880 Speaker 1: everybody that makes it onto a jury knows what you did. 625 00:33:31,280 --> 00:33:33,960 Speaker 1: I mean, what well the weird? I mean, look, I 626 00:33:34,040 --> 00:33:37,120 Speaker 1: think any any attempt to try and incurb bias, you know, 627 00:33:37,280 --> 00:33:40,120 Speaker 1: I think it is commendable. A good one, by the way, 628 00:33:40,200 --> 00:33:44,520 Speaker 1: on the upside down, thank you. But the earth is round? Okay, yeah, 629 00:33:44,680 --> 00:33:50,400 Speaker 1: nice tray. Their Prime Minister is not mentioning his name 630 00:33:50,960 --> 00:33:55,200 Speaker 1: when discussing the terre attack because you know, in kind 631 00:33:55,240 --> 00:33:57,880 Speaker 1: of keeping with the idea that this is what he 632 00:33:58,240 --> 00:34:02,880 Speaker 1: and his cause is for people to rally around him. 633 00:34:03,520 --> 00:34:06,080 Speaker 1: Uh So that's kind of dopen, I think. And he 634 00:34:06,160 --> 00:34:09,280 Speaker 1: was slashing the white power sign of his arrayment exactly. 635 00:34:09,520 --> 00:34:12,479 Speaker 1: And then another kind of angle that people have taken 636 00:34:12,520 --> 00:34:16,440 Speaker 1: and covering the attack is looking at gun laws because 637 00:34:16,520 --> 00:34:19,440 Speaker 1: New Zealand has said we're going to make our gun 638 00:34:19,520 --> 00:34:23,080 Speaker 1: laws stricter and so they've compared New Zealand's gun laws 639 00:34:23,200 --> 00:34:29,239 Speaker 1: to Japan's and the United States. They did like sixteen 640 00:34:29,440 --> 00:34:32,960 Speaker 1: different countries and it's pretty wild. Like so New Zealand 641 00:34:33,080 --> 00:34:36,000 Speaker 1: is basically the most lax besides the United States. And 642 00:34:36,080 --> 00:34:40,640 Speaker 1: they have a seven step process. Pass a background check, 643 00:34:40,719 --> 00:34:45,080 Speaker 1: provide a character reference authorities, interview or advise in person 644 00:34:45,640 --> 00:34:49,000 Speaker 1: your partner or next of kin. You pass a home 645 00:34:49,080 --> 00:34:52,719 Speaker 1: security inspection that checks for proper firearms storage, take a 646 00:34:52,760 --> 00:34:56,520 Speaker 1: gun safety course, wait for approval for a firearms license, 647 00:34:56,600 --> 00:35:00,000 Speaker 1: which could take weeks or months, and then number seven, 648 00:35:00,160 --> 00:35:01,720 Speaker 1: you get to buy a gun. I think what's interesting 649 00:35:01,760 --> 00:35:04,160 Speaker 1: those in part of that background check does look at 650 00:35:04,200 --> 00:35:07,920 Speaker 1: your medical and mental health history, whereas even like the 651 00:35:08,000 --> 00:35:11,440 Speaker 1: US background check is like are you a criminal or immigrant? Well, 652 00:35:11,520 --> 00:35:14,880 Speaker 1: you know, that's kind of a like that's a to me, 653 00:35:15,280 --> 00:35:18,080 Speaker 1: a gray area of gun law that I am not 654 00:35:18,239 --> 00:35:20,200 Speaker 1: really sure how I feel about it, because it's like, 655 00:35:20,320 --> 00:35:23,520 Speaker 1: all right, if you're just gonna you know, everybody who's 656 00:35:23,520 --> 00:35:27,080 Speaker 1: ever had had mental health issues, you know, that's that's 657 00:35:27,120 --> 00:35:29,440 Speaker 1: a health thing. What I mean, It's like it's kind 658 00:35:29,480 --> 00:35:33,840 Speaker 1: of skirts the line for me of like policing what 659 00:35:34,000 --> 00:35:35,440 Speaker 1: kind of people can have guns and what kind of 660 00:35:35,480 --> 00:35:38,480 Speaker 1: people can't. But I also see the sense in it absolutely. 661 00:35:38,600 --> 00:35:41,080 Speaker 1: I think if you take it in like in its totality, right, 662 00:35:41,120 --> 00:35:43,160 Speaker 1: it's like, oh, you have, you know, some kind of 663 00:35:43,280 --> 00:35:46,839 Speaker 1: mental health issues with a history of domestic violence and that. Yeah, 664 00:35:46,960 --> 00:35:49,760 Speaker 1: but there's plenty of mental illness that doesn't like involve 665 00:35:50,440 --> 00:35:53,160 Speaker 1: I don't know, maybe maybe not. I know, I don't yeah, 666 00:35:53,200 --> 00:35:54,520 Speaker 1: I know, I know. I know what you're saying, like 667 00:35:54,600 --> 00:35:57,480 Speaker 1: not to just immediately be like, okay, you just because 668 00:35:57,480 --> 00:35:59,680 Speaker 1: of this, you may have suffered from depression or something 669 00:35:59,760 --> 00:36:02,600 Speaker 1: that for But I think either way, I think because 670 00:36:02,640 --> 00:36:05,200 Speaker 1: the US version, what is just step one pull up 671 00:36:05,239 --> 00:36:10,439 Speaker 1: with cash to buy gun. Yeah, I'm anti stigmatizing mental health, 672 00:36:10,560 --> 00:36:13,080 Speaker 1: but I'm i error on the side of police state 673 00:36:13,120 --> 00:36:16,120 Speaker 1: when it comes to giving people guns. Uh, funny you 674 00:36:16,160 --> 00:36:19,080 Speaker 1: should say police because I mean that's like, you know, 675 00:36:19,280 --> 00:36:20,960 Speaker 1: there are two ways to get a gun in the US. 676 00:36:21,040 --> 00:36:22,920 Speaker 1: Want to pull up by a gun to become a 677 00:36:22,920 --> 00:36:25,480 Speaker 1: police Like you just get a gun. They just give 678 00:36:25,520 --> 00:36:27,279 Speaker 1: you a gun. They like, don't do ship. You know, 679 00:36:27,440 --> 00:36:30,239 Speaker 1: it's like really easy to like join ice or whatever. 680 00:36:30,880 --> 00:36:34,120 Speaker 1: They'll just give you a gun. American civilians own nearly 681 00:36:34,280 --> 00:36:38,000 Speaker 1: one hundred times as many firearms as the US military 682 00:36:38,239 --> 00:36:41,360 Speaker 1: and nearly four hundred times as many as law enforcement. 683 00:36:41,480 --> 00:36:44,200 Speaker 1: Wa wait, wait say that first part again. American civilians 684 00:36:44,560 --> 00:36:47,800 Speaker 1: own a hundred times as many firearms as the military 685 00:36:47,960 --> 00:36:51,040 Speaker 1: and four hundred times as many as law enforcement. So 686 00:36:51,640 --> 00:36:55,880 Speaker 1: power to the people. Yet some thoughts. Japan has a 687 00:36:55,920 --> 00:37:01,960 Speaker 1: thirteen step process that involves training, and it's basically the equivalent. 688 00:37:02,360 --> 00:37:05,839 Speaker 1: More they get more, Like Japanese civilians get more gun 689 00:37:05,920 --> 00:37:10,080 Speaker 1: training than American police officers do. Right, and also like 690 00:37:10,200 --> 00:37:13,320 Speaker 1: it's on par with what you need to learn to drive, 691 00:37:13,920 --> 00:37:18,399 Speaker 1: which you would firearm class. Boom. Get a doctor's note 692 00:37:18,400 --> 00:37:20,920 Speaker 1: saying you're mentally fit and you're not a drug addict. Three, 693 00:37:20,960 --> 00:37:24,520 Speaker 1: Apply for a permit, take firing training. Could take a month. 694 00:37:24,640 --> 00:37:26,880 Speaker 1: Describing a police interview why you need a gun. I 695 00:37:26,960 --> 00:37:30,200 Speaker 1: think that's fair. Pass a review of your criminal history, 696 00:37:30,200 --> 00:37:32,640 Speaker 1: gun possession record, employment, blah blah blah. Six. Six apply 697 00:37:32,719 --> 00:37:35,080 Speaker 1: for a gunpowder permit. Damn you gotta get be like yo, 698 00:37:35,480 --> 00:37:38,239 Speaker 1: you need the permit for the powder to my uh. Seven? 699 00:37:39,480 --> 00:37:42,040 Speaker 1: Yeah right? Take one, take a one day training class 700 00:37:42,120 --> 00:37:44,920 Speaker 1: and passive firing test. Then obtain a certificate from a 701 00:37:44,960 --> 00:37:47,520 Speaker 1: gun dealer describing the gun you want. Then if you 702 00:37:47,560 --> 00:37:49,760 Speaker 1: want a gun for hunting, apply for a hunting license. 703 00:37:49,840 --> 00:37:52,120 Speaker 1: Then buy a gun safe and an ammunition locker that 704 00:37:52,200 --> 00:37:55,080 Speaker 1: meets safety regulations, allow the police inspector gun storage pass 705 00:37:55,080 --> 00:37:58,040 Speaker 1: an additional background review. Then by a gun. Yeah it 706 00:37:58,040 --> 00:38:00,640 Speaker 1: sounds pretty chill, but you know they have a lot 707 00:38:00,719 --> 00:38:03,520 Speaker 1: of airsoft guns out there, right, so oh my man. 708 00:38:03,600 --> 00:38:06,520 Speaker 1: As a kid, I was like the matrix came out, 709 00:38:06,520 --> 00:38:09,920 Speaker 1: I was like I need all these yeah, and then 710 00:38:10,000 --> 00:38:13,320 Speaker 1: like I remember bringing him back the like t s 711 00:38:13,400 --> 00:38:15,600 Speaker 1: A was like, what is going on in your luggage? Oh? Yeah, 712 00:38:15,719 --> 00:38:19,920 Speaker 1: well didn't there was there? Who can remember, but there was. 713 00:38:20,239 --> 00:38:21,680 Speaker 1: There was a guy that was killed. Was it the 714 00:38:21,719 --> 00:38:23,960 Speaker 1: guy in the Walmart? He was like carrying an airsoft 715 00:38:24,040 --> 00:38:26,359 Speaker 1: gun around. There's a black guy in a walmarting an 716 00:38:26,360 --> 00:38:27,960 Speaker 1: airsoft gun and they just shot him in the back. 717 00:38:28,080 --> 00:38:31,200 Speaker 1: No AIRSOFTT Like, There's been a few problems here too, 718 00:38:31,280 --> 00:38:33,840 Speaker 1: because they had to like orange tips even like the 719 00:38:33,920 --> 00:38:36,080 Speaker 1: imports that were coming in from Japan, because too many 720 00:38:36,120 --> 00:38:40,760 Speaker 1: people like they have real very hyper basically very realistic weapons. 721 00:38:41,440 --> 00:38:43,560 Speaker 1: Realistic what's crazy? Like I think they you know, they 722 00:38:43,640 --> 00:38:46,520 Speaker 1: try and make airsoft guns look more threatening because it's 723 00:38:46,600 --> 00:38:48,879 Speaker 1: like for the game, but it just makes it look 724 00:38:48,920 --> 00:38:50,880 Speaker 1: like you have a guy. Yeah, and I think in Japan, 725 00:38:51,000 --> 00:38:54,399 Speaker 1: because you can't really get firearms that easily. Like there's 726 00:38:54,440 --> 00:38:57,200 Speaker 1: just like this secondary like culture of being like we 727 00:38:57,320 --> 00:38:59,399 Speaker 1: team up, we shoot our little plastic BB's of ship, 728 00:39:00,160 --> 00:39:02,920 Speaker 1: we play, you know, dress up. We don't need we 729 00:39:02,920 --> 00:39:06,080 Speaker 1: don't need real bang bangs, right right, it seems fair. 730 00:39:06,440 --> 00:39:08,920 Speaker 1: It seems like, I don't know, how do you guys 731 00:39:08,960 --> 00:39:11,799 Speaker 1: feel about guns? What do you I mean? I grew up. 732 00:39:11,920 --> 00:39:15,719 Speaker 1: I grew up around guns and responsible gun owners who 733 00:39:15,840 --> 00:39:20,479 Speaker 1: like drilled into me to respect firearms. So on one hand, 734 00:39:20,719 --> 00:39:24,879 Speaker 1: I definitely understand people who who use guns have owned 735 00:39:24,920 --> 00:39:27,759 Speaker 1: guns and are responsible with them or like yo, like 736 00:39:28,040 --> 00:39:30,120 Speaker 1: I'm not one of these people sucking it up. And 737 00:39:30,200 --> 00:39:32,680 Speaker 1: then on the other hand, I see many people who 738 00:39:32,960 --> 00:39:36,160 Speaker 1: are totally reckless, people who should not be having weapons 739 00:39:36,239 --> 00:39:38,759 Speaker 1: or certain kinds of weapons, and I'm like, what, where 740 00:39:38,800 --> 00:39:41,680 Speaker 1: the funk do we I feel that at the very 741 00:39:41,800 --> 00:39:46,880 Speaker 1: least we have to begin some process of limiting the 742 00:39:46,960 --> 00:39:48,759 Speaker 1: means for people who are going to have a high 743 00:39:48,800 --> 00:39:52,520 Speaker 1: probability of using guns violently. For sure, I think as 744 00:39:52,560 --> 00:39:55,480 Speaker 1: like a first step you can you can then figure out. 745 00:39:55,480 --> 00:39:57,320 Speaker 1: I mean, I don't know how you could possibly d 746 00:39:57,560 --> 00:39:59,839 Speaker 1: arm the country, Like that's just not gonna I don't 747 00:39:59,840 --> 00:40:01,600 Speaker 1: think it's gonna. I don't think that's gonna happen. Jack, 748 00:40:01,640 --> 00:40:04,239 Speaker 1: How do you feel from a theoretical perspective, I think 749 00:40:04,280 --> 00:40:10,680 Speaker 1: the idea of gun ownership like drastically overestimates how mentally 750 00:40:10,800 --> 00:40:14,960 Speaker 1: stable like humans are. Like, I don't think people should 751 00:40:15,000 --> 00:40:17,480 Speaker 1: be able to have guns. Guns are just out of 752 00:40:17,560 --> 00:40:20,920 Speaker 1: our technology. You should be able to go down to 753 00:40:21,000 --> 00:40:24,080 Speaker 1: a clubhouse and like talk to somebody and be like, Okay, 754 00:40:24,160 --> 00:40:25,680 Speaker 1: here's why I want the gun, Here's what I'm gonna 755 00:40:25,719 --> 00:40:28,600 Speaker 1: use it for. But like to have it like just 756 00:40:28,920 --> 00:40:33,279 Speaker 1: for suicide alone, Like people make rash decisions and end 757 00:40:33,320 --> 00:40:35,480 Speaker 1: their life when like if they had waited two minutes, 758 00:40:35,600 --> 00:40:38,840 Speaker 1: they would have not ended their life. So I just 759 00:40:38,960 --> 00:40:41,560 Speaker 1: don't think they should. We just gotta press rewind. Yeah, 760 00:40:44,320 --> 00:40:46,480 Speaker 1: practically speaking, I don't think there's anything we can do. 761 00:40:46,719 --> 00:40:49,600 Speaker 1: But from a theoretical perspective, like that's where I stand. 762 00:40:49,640 --> 00:40:52,800 Speaker 1: I don't think they Handora's box has been blown the funks, 763 00:40:53,760 --> 00:40:55,680 Speaker 1: I mean, especially when you read that stat like four 764 00:40:55,800 --> 00:40:58,920 Speaker 1: hundred times the weapons of the military. I don't know 765 00:40:58,920 --> 00:41:00,359 Speaker 1: if you guys know this, but we have a pretty 766 00:41:00,400 --> 00:41:05,520 Speaker 1: big military. Yea, yeah, it's it's it's always interesting to 767 00:41:05,560 --> 00:41:08,480 Speaker 1: me when people compare, uh, you know, how how easy 768 00:41:08,480 --> 00:41:10,120 Speaker 1: it is to get a gun in America than in 769 00:41:10,160 --> 00:41:12,560 Speaker 1: other countries, because America is, as far as I know, 770 00:41:12,920 --> 00:41:16,520 Speaker 1: is the only country you know, with in our charter, 771 00:41:17,120 --> 00:41:18,839 Speaker 1: like the right to own a gun. It's like one 772 00:41:18,880 --> 00:41:21,120 Speaker 1: of our founding values and the whole Like I mean, 773 00:41:21,160 --> 00:41:23,920 Speaker 1: you know, we're a colony that rebelled, and we couldn't 774 00:41:23,960 --> 00:41:26,120 Speaker 1: have rebelled unless we had a bunch of guns and 775 00:41:26,200 --> 00:41:28,160 Speaker 1: could shoot the government. You know. That was like how 776 00:41:28,200 --> 00:41:31,960 Speaker 1: America became its own country. But I did not grow 777 00:41:32,080 --> 00:41:34,520 Speaker 1: up with guns, Like I'm from California, you know, like 778 00:41:35,480 --> 00:41:37,719 Speaker 1: I'm not from the country, and uh, I didn't grow 779 00:41:37,800 --> 00:41:39,799 Speaker 1: up with guns. I didn't. I didn't know anybody who 780 00:41:39,880 --> 00:41:41,840 Speaker 1: had a gun. And then I moved to Texas and 781 00:41:41,960 --> 00:41:44,920 Speaker 1: everybody has five guns and they were all their great grandfathers, 782 00:41:45,080 --> 00:41:48,080 Speaker 1: you know, And it was really interesting to see, like, 783 00:41:48,640 --> 00:41:52,000 Speaker 1: you know, people that I would consider real normal, like honestly, 784 00:41:52,040 --> 00:41:55,080 Speaker 1: not even people that were into hunting or anything like that, um, 785 00:41:55,239 --> 00:41:57,600 Speaker 1: you know, stuff that I'm not involved in hobbies that 786 00:41:57,640 --> 00:41:59,919 Speaker 1: I don't have them involved guns just being like yeah, 787 00:42:00,080 --> 00:42:03,399 Speaker 1: you know, like guns on the wall even and it's 788 00:42:03,480 --> 00:42:06,000 Speaker 1: like so it was it was a real trip for 789 00:42:06,080 --> 00:42:08,840 Speaker 1: me to see like how how much guns are embedded 790 00:42:09,000 --> 00:42:13,239 Speaker 1: in in white American culture, particularly and you know, the 791 00:42:13,360 --> 00:42:17,560 Speaker 1: idea that that we should disarm everybody but the police 792 00:42:18,320 --> 00:42:22,359 Speaker 1: is is problematic to me because it's like, like I said, 793 00:42:22,400 --> 00:42:24,200 Speaker 1: it's not that hard to become a police officer. So 794 00:42:24,360 --> 00:42:26,759 Speaker 1: like if you if let's say it was like we 795 00:42:26,920 --> 00:42:29,560 Speaker 1: passed strong gun control in America, which I don't again, 796 00:42:29,560 --> 00:42:31,600 Speaker 1: I don't think it's going to happen. Um, but let's 797 00:42:31,600 --> 00:42:33,880 Speaker 1: say we repeal the Second Amendment and everybody has to 798 00:42:33,880 --> 00:42:35,600 Speaker 1: give their gun back, and the only people that get 799 00:42:35,640 --> 00:42:38,080 Speaker 1: to have a gun or the cops. Everyone that wants 800 00:42:38,080 --> 00:42:40,600 Speaker 1: a gun is just gonna become a cop. You know. Again, 801 00:42:40,719 --> 00:42:43,480 Speaker 1: it's not that hard to become a cop, Like they'll 802 00:42:43,520 --> 00:42:45,560 Speaker 1: just give you a gun. You know, people don't have guns, 803 00:42:45,640 --> 00:42:51,080 Speaker 1: the cops don't need guns. That's the issue also be disarmed. Yeah, 804 00:42:51,200 --> 00:42:52,640 Speaker 1: now that's what I'm saying. With the repeal of the 805 00:42:52,640 --> 00:42:55,080 Speaker 1: Second Amendment. Yeah, I mean in the UK and in 806 00:42:55,320 --> 00:42:57,920 Speaker 1: like Ireland, like cops don't have guns, well they do, 807 00:42:58,080 --> 00:43:00,239 Speaker 1: they just have like there's like yo call, there's one 808 00:43:00,440 --> 00:43:03,920 Speaker 1: Constable Richards, there is a gun that you can get 809 00:43:03,960 --> 00:43:08,360 Speaker 1: access because I mean Japan is like that too, and 810 00:43:08,600 --> 00:43:11,160 Speaker 1: I see more and more people the cops there have 811 00:43:11,480 --> 00:43:13,640 Speaker 1: you know, like little thirty eights on them. But and 812 00:43:13,719 --> 00:43:16,040 Speaker 1: it's not just about the availability of guns, but about 813 00:43:16,040 --> 00:43:17,920 Speaker 1: the training, because like police aren't. It's not just that 814 00:43:18,000 --> 00:43:20,359 Speaker 1: police are armed, it's that they're trained to treat every 815 00:43:20,440 --> 00:43:22,719 Speaker 1: situation like life or death, like life or death, like 816 00:43:22,760 --> 00:43:24,560 Speaker 1: it could turn super deadly at any time, which is 817 00:43:24,600 --> 00:43:26,320 Speaker 1: why they're shooting people in the back and you know, 818 00:43:26,640 --> 00:43:28,440 Speaker 1: seeing a guy pull out a cell phone and saying, well, 819 00:43:28,440 --> 00:43:30,920 Speaker 1: that's probably a gun and shoot him, you know, forty times. 820 00:43:31,520 --> 00:43:35,080 Speaker 1: The most important book, like for informing my position on 821 00:43:35,280 --> 00:43:37,800 Speaker 1: guns is this book that has nothing to do with guns, 822 00:43:37,880 --> 00:43:40,239 Speaker 1: but it's called Incognito and it's about like how the 823 00:43:40,960 --> 00:43:44,879 Speaker 1: human mind works. And it's like ninety percent of our 824 00:43:45,560 --> 00:43:48,600 Speaker 1: decision making process happens in an unconscious part of our 825 00:43:48,640 --> 00:43:50,759 Speaker 1: brain that we don't have access to. So like it's 826 00:43:50,840 --> 00:43:54,520 Speaker 1: like you don't like nobody is as in control of 827 00:43:54,600 --> 00:43:57,200 Speaker 1: their own thought process as they think they are. There 828 00:43:57,520 --> 00:43:59,719 Speaker 1: a lot of the time, we're just telling ourselves a 829 00:44:00,040 --> 00:44:03,680 Speaker 1: worry to explain, like the ship that is coming out 830 00:44:03,719 --> 00:44:06,400 Speaker 1: of the black box, that is our unconscious mind. So 831 00:44:06,719 --> 00:44:09,280 Speaker 1: I got a gun in the black box, right, yea, exactly. 832 00:44:10,600 --> 00:44:12,400 Speaker 1: All right, We're gonna take another quick break. We'll be 833 00:44:12,480 --> 00:44:27,239 Speaker 1: right back, and we're back. And Fox and Friends was 834 00:44:27,360 --> 00:44:30,719 Speaker 1: being Fox and Friends on Tuesday. They set up a 835 00:44:30,840 --> 00:44:34,960 Speaker 1: nice folksy diner that was like from the fifties. The 836 00:44:35,000 --> 00:44:37,399 Speaker 1: only thing that was missing was the whites only sign 837 00:44:37,719 --> 00:44:42,319 Speaker 1: on the soda jerk bar uh and and a roof. Yeah. 838 00:44:42,360 --> 00:44:45,640 Speaker 1: They just like basically set up like a Disney style 839 00:44:45,800 --> 00:44:49,520 Speaker 1: diner from the nineteen fifties in the middle of Times Square. 840 00:44:50,840 --> 00:44:54,440 Speaker 1: You should have seen it, like sixty five in the morning. 841 00:44:54,520 --> 00:44:57,440 Speaker 1: They were showing people sitting around tables whatever. Everyone's bundled 842 00:44:57,480 --> 00:45:00,279 Speaker 1: the funk up because it's cold fucking freeze. And then 843 00:45:00,320 --> 00:45:03,560 Speaker 1: they had like those like stainless steel malt cups in 844 00:45:03,600 --> 00:45:09,440 Speaker 1: front of like people drinking milkshakes at six York and 845 00:45:09,520 --> 00:45:12,160 Speaker 1: people were like so uncomfortable, but they were like going 846 00:45:12,200 --> 00:45:14,280 Speaker 1: around be like, hey, we're just talking to the people, 847 00:45:14,440 --> 00:45:18,560 Speaker 1: you know, getting getting some ideas and man, they they 848 00:45:18,600 --> 00:45:21,040 Speaker 1: were doing a lot on Tuesday. I could. I was 849 00:45:21,120 --> 00:45:25,160 Speaker 1: sort of it was impressive. What was going on? First up? 850 00:45:25,640 --> 00:45:27,920 Speaker 1: You know, I think because in light of the terrorist 851 00:45:27,960 --> 00:45:31,840 Speaker 1: attack in christ Church, when when attacks like this happened, 852 00:45:32,040 --> 00:45:34,239 Speaker 1: the thoughts and prayers memes come out and they're like, oh, 853 00:45:34,320 --> 00:45:36,759 Speaker 1: what's good with your thoughts and prayers? That's a good point. 854 00:45:37,080 --> 00:45:39,680 Speaker 1: Did they before they even started talking about like changing 855 00:45:39,719 --> 00:45:43,239 Speaker 1: the gun laws? Did they try thoughts and prayers? And well, 856 00:45:43,440 --> 00:45:46,600 Speaker 1: you know, here's the thing to pass the gun laws 857 00:45:46,640 --> 00:45:51,160 Speaker 1: and then might not work. Um, So they had Joel 858 00:45:51,200 --> 00:45:56,400 Speaker 1: Oastin on to again defend the power of prayer. It 859 00:45:56,560 --> 00:45:58,520 Speaker 1: just listened to this whole thing. We'll talk about it 860 00:46:00,000 --> 00:46:02,160 Speaker 1: agedty like the mosque attacks in New Zealand. Our next 861 00:46:02,239 --> 00:46:05,000 Speaker 1: guest explains why the power of prayer, the prayer isn't 862 00:46:05,000 --> 00:46:08,360 Speaker 1: about results. It's about an ongoing relationship with God and 863 00:46:08,480 --> 00:46:11,799 Speaker 1: combating hate. So what do you make of people who say, 864 00:46:11,920 --> 00:46:13,960 Speaker 1: you know what, in times of tragedy, like what the 865 00:46:14,239 --> 00:46:17,040 Speaker 1: horrific tragedy in New Zealand, if you pray it doesn't 866 00:46:17,040 --> 00:46:19,400 Speaker 1: achieve results. So what's the point what advice do you 867 00:46:19,440 --> 00:46:21,000 Speaker 1: give to people? Let's say that you know what do 868 00:46:21,280 --> 00:46:24,080 Speaker 1: I believe it does chief results? You know, when you pray, 869 00:46:24,200 --> 00:46:27,040 Speaker 1: God gives you strength, he gives you peace, and you 870 00:46:27,160 --> 00:46:30,319 Speaker 1: know it moves the hands that I believe ruled the world. 871 00:46:30,360 --> 00:46:32,480 Speaker 1: So I believe that it is, you know, prayer. I've 872 00:46:32,520 --> 00:46:34,320 Speaker 1: seen prayer in my own life, so I'm a believer 873 00:46:34,480 --> 00:46:38,760 Speaker 1: in it. It's not about results. So I mean adding 874 00:46:38,800 --> 00:46:40,640 Speaker 1: hate in an ongoing relationship. I'm sorry, is this a 875 00:46:40,680 --> 00:46:43,440 Speaker 1: news channel? Still? Are we talking about a news channel? 876 00:46:44,000 --> 00:46:49,000 Speaker 1: So the morning news show, we got Joel Austen, the 877 00:46:49,080 --> 00:46:50,719 Speaker 1: man who turn it back on people when they needed 878 00:46:50,760 --> 00:46:56,759 Speaker 1: some shelter, on this morning news show, assuring viewers that 879 00:46:56,920 --> 00:46:59,160 Speaker 1: prayer is not about the destination, it's about the journey. 880 00:46:59,400 --> 00:47:03,440 Speaker 1: Exactly right, but also very disingenuous opening to that, right, 881 00:47:03,520 --> 00:47:08,000 Speaker 1: The cynesis like, it's just a very cynical argument strategy 882 00:47:08,120 --> 00:47:13,360 Speaker 1: where you assume the dumbest possible version of your opponents argument. 883 00:47:13,520 --> 00:47:16,479 Speaker 1: So you're like, well, when they say they don't want 884 00:47:16,560 --> 00:47:19,319 Speaker 1: our thoughts and prayers, they're saying that God doesn't exist, 885 00:47:19,520 --> 00:47:23,480 Speaker 1: that prayers don't work. Right, No, no, no, we're saying, sure, 886 00:47:23,600 --> 00:47:28,320 Speaker 1: thoughts and prayers, but we need like substantive action, legislation. Yeah, no, 887 00:47:28,400 --> 00:47:31,960 Speaker 1: one's saying prayer doesn't make you feel better. Everybody agrees 888 00:47:32,000 --> 00:47:34,640 Speaker 1: on you know, meditate and listen to the voice in 889 00:47:34,719 --> 00:47:39,120 Speaker 1: your head telling you that you should change your fucking values. Fuck, 890 00:47:40,440 --> 00:47:45,759 Speaker 1: I've never heard fucking blasphemous bullshit again. But that's why 891 00:47:45,840 --> 00:47:47,520 Speaker 1: you know they have they have those people on so 892 00:47:47,600 --> 00:47:50,400 Speaker 1: they feel like, you know, they're they're unassailable people are 893 00:47:50,840 --> 00:47:55,080 Speaker 1: this man is an authority. Just watch the channel channel. Yeah, 894 00:47:55,160 --> 00:47:57,719 Speaker 1: well here, look that's not all they did. Okay, Then 895 00:47:58,200 --> 00:48:01,879 Speaker 1: they got a whole group of you know, wealthy white 896 00:48:01,880 --> 00:48:05,240 Speaker 1: people together to just talk about kind of like again finally, 897 00:48:05,400 --> 00:48:07,520 Speaker 1: how powerful, like how Trump's just killing it with the 898 00:48:07,600 --> 00:48:10,080 Speaker 1: economy and like absolutely how like you know, people on 899 00:48:10,160 --> 00:48:13,160 Speaker 1: the left are really distracted or deflecting. Just listen to 900 00:48:13,239 --> 00:48:15,400 Speaker 1: this one too. When you have a booming economy and 901 00:48:15,480 --> 00:48:18,520 Speaker 1: you have policies like lowering taxes and deregulating and all 902 00:48:18,560 --> 00:48:20,879 Speaker 1: of these things being so successful to me American people, 903 00:48:20,960 --> 00:48:22,279 Speaker 1: and they can feel it. They can feel it in 904 00:48:22,360 --> 00:48:24,160 Speaker 1: their pocketbooks, they can feel it at their dinner tables. 905 00:48:24,320 --> 00:48:26,080 Speaker 1: How do democrats say, you know, what No, we want 906 00:48:26,120 --> 00:48:27,839 Speaker 1: to flip all of that and do a one eight 907 00:48:27,960 --> 00:48:29,640 Speaker 1: and give you the exact opposite. How does that make 908 00:48:29,680 --> 00:48:33,200 Speaker 1: any sense? Um? The way you run against it sadly, 909 00:48:33,360 --> 00:48:35,560 Speaker 1: but the is you go after some of the more 910 00:48:35,640 --> 00:48:38,200 Speaker 1: emotional issues, right, I mean you hear all the cries 911 00:48:38,239 --> 00:48:42,400 Speaker 1: about racism, etcetera. That is exactly the tactics that they 912 00:48:42,400 --> 00:48:46,759 Speaker 1: will use. Speak question. I mean, look, yo, welcome to 913 00:48:46,840 --> 00:48:52,160 Speaker 1: my new store racism, etcetera. Where we're horribly dismissing about 914 00:48:52,280 --> 00:48:54,880 Speaker 1: real issues. Sit around all day and we just cry 915 00:48:55,120 --> 00:48:59,000 Speaker 1: and cry about racism. I cannot you know, somebody, people 916 00:48:59,040 --> 00:49:00,759 Speaker 1: every day I walked on this treat. People are trying 917 00:49:00,800 --> 00:49:03,160 Speaker 1: to give me money. They say, my economy is booming, 918 00:49:03,200 --> 00:49:05,160 Speaker 1: I am making so much money, Please take some, please 919 00:49:05,239 --> 00:49:07,400 Speaker 1: have a job, And I say I cannot. I am 920 00:49:07,480 --> 00:49:10,719 Speaker 1: too distracted by racism and emotional issues. Yeah I have 921 00:49:10,800 --> 00:49:14,239 Speaker 1: too much money? Is actually but I'm also again it's 922 00:49:14,360 --> 00:49:16,440 Speaker 1: a real like I think they were just trying to 923 00:49:16,520 --> 00:49:19,600 Speaker 1: give their viewers like an update about like I know, 924 00:49:19,880 --> 00:49:22,840 Speaker 1: logic is telling you all these things are bad that 925 00:49:22,920 --> 00:49:25,839 Speaker 1: you're hearing. It's it's because they're you know, I mean, 926 00:49:25,960 --> 00:49:28,560 Speaker 1: I think it's because the left is making strides with 927 00:49:28,719 --> 00:49:31,880 Speaker 1: old people who are a conservative grab bag, you know, 928 00:49:32,360 --> 00:49:34,800 Speaker 1: by saying, wouldn't it be cool if you got Medicare 929 00:49:34,880 --> 00:49:37,279 Speaker 1: your whole life? You know, if if people try to 930 00:49:37,320 --> 00:49:41,720 Speaker 1: repeal Social Security or Medicare, which are the most popular 931 00:49:41,800 --> 00:49:44,680 Speaker 1: social programs ever implemented in the US. You know, there's 932 00:49:44,719 --> 00:49:48,520 Speaker 1: a lot of Bernie's campaign and is trying to compare 933 00:49:48,600 --> 00:49:50,640 Speaker 1: him to f DR, you know, because they're trying to 934 00:49:51,080 --> 00:49:53,759 Speaker 1: draw the Green New Deal is called the Green New Deal, 935 00:49:53,920 --> 00:49:58,439 Speaker 1: you know, it's not called the Green New fucking Socialist Revolution. Yeah, 936 00:49:59,719 --> 00:50:03,319 Speaker 1: the in fucking blaze, Like they're trying to like kind 937 00:50:03,360 --> 00:50:06,160 Speaker 1: of rebrand the left as something that takes care of people, 938 00:50:06,600 --> 00:50:09,800 Speaker 1: and young people and old people, not surprisingly, are pretty 939 00:50:09,800 --> 00:50:12,320 Speaker 1: into that idea of like getting shipped for free and 940 00:50:12,400 --> 00:50:14,560 Speaker 1: getting taken care of for the taxes you pay. And 941 00:50:14,680 --> 00:50:16,920 Speaker 1: so I think, I mean, I really think conservatives are 942 00:50:17,040 --> 00:50:20,560 Speaker 1: feeling that hit because their viewers are in their own 943 00:50:20,719 --> 00:50:24,160 Speaker 1: polls saying that they support higher taxes on people who 944 00:50:24,239 --> 00:50:26,920 Speaker 1: have more than a hundred million dollars. And was like, oh, 945 00:50:27,040 --> 00:50:30,560 Speaker 1: fuck yeah, and think about this, like you said, it's 946 00:50:30,640 --> 00:50:34,000 Speaker 1: it's gaining traction with young people, like you know millennials, right, 947 00:50:34,400 --> 00:50:37,920 Speaker 1: but they were very They had another whole fucking segment 948 00:50:38,120 --> 00:50:41,480 Speaker 1: where they wanted to dismiss millennials because we're like, way 949 00:50:41,520 --> 00:50:44,080 Speaker 1: too stressed out about dumb shit. Listen to this. I 950 00:50:44,239 --> 00:50:48,799 Speaker 1: still are a millennial, miles, what are if you were 951 00:50:48,840 --> 00:50:52,000 Speaker 1: born what is it two to ninety eight or something 952 00:50:52,280 --> 00:50:55,359 Speaker 1: something something like that. If you know, I say, born 953 00:50:55,719 --> 00:50:58,279 Speaker 1: nine eleven, I think anyone born after an eleven is 954 00:50:58,320 --> 00:51:01,160 Speaker 1: gen z. Okay, that's my definite issue. That's fine. I mean, look, 955 00:51:01,200 --> 00:51:03,959 Speaker 1: it's all. It's all. Look, if you know Michael Keaton 956 00:51:04,000 --> 00:51:08,160 Speaker 1: as the original Batman, you're old ast millennial's um now. 957 00:51:08,280 --> 00:51:12,520 Speaker 1: So this is them just bringing up a really wacky poll. 958 00:51:12,640 --> 00:51:14,879 Speaker 1: I've not heard of the people who ran this poll, 959 00:51:14,960 --> 00:51:17,879 Speaker 1: but this is them being like, millennials are way stressed out. 960 00:51:17,920 --> 00:51:20,200 Speaker 1: And listen listen to their list of things that stress 961 00:51:20,280 --> 00:51:23,960 Speaker 1: millennials out. Listen to this. Number one losing your wall 962 00:51:24,040 --> 00:51:26,960 Speaker 1: under credit card, number two, arguing with a partner, number three, 963 00:51:27,080 --> 00:51:30,440 Speaker 1: the commute, number four, losing the phone, five, arriving late 964 00:51:30,520 --> 00:51:35,480 Speaker 1: to work, six slow WiFi, seven phone battery dyne hey, 965 00:51:35,680 --> 00:51:40,240 Speaker 1: forgetting passwords, credit card fraud, or forgetting your phone charger. 966 00:51:40,520 --> 00:51:44,200 Speaker 1: It's all about the smartphone. Without the smartphone, they're not 967 00:51:44,320 --> 00:51:46,799 Speaker 1: so smart, that's right. So I mean, look, it tells 968 00:51:46,880 --> 00:51:48,320 Speaker 1: me that we live in the greatest country on the 969 00:51:48,360 --> 00:51:51,520 Speaker 1: face of the planet. If this is my generation's biggest concerns, 970 00:51:51,920 --> 00:51:54,320 Speaker 1: then we're doing good. Yeah. It's not climate change or 971 00:51:54,360 --> 00:51:57,040 Speaker 1: mounting dead or not being able to enter the workforce 972 00:51:57,200 --> 00:51:59,960 Speaker 1: or upper mobility or you know, trying to go fund 973 00:52:00,040 --> 00:52:02,480 Speaker 1: me all your medical bills or you know, not having 974 00:52:02,520 --> 00:52:05,360 Speaker 1: a job, or not having education, or being crushed with 975 00:52:05,400 --> 00:52:08,880 Speaker 1: student debt or you know, systemic racism. And it's it's 976 00:52:08,920 --> 00:52:11,040 Speaker 1: it's slow WiFi and all those things. It's slow WiFi 977 00:52:11,160 --> 00:52:14,280 Speaker 1: that I truly crave. Yeah, no, it's just why Like again, 978 00:52:14,360 --> 00:52:16,000 Speaker 1: that was their attempt, I guess to try and be 979 00:52:16,080 --> 00:52:17,560 Speaker 1: like n see, I mean, look at the people who 980 00:52:17,600 --> 00:52:19,600 Speaker 1: even supporting this, like they're they're the snowflakes who get 981 00:52:19,640 --> 00:52:21,880 Speaker 1: freaked out because they lost their wallet, right right right? 982 00:52:21,960 --> 00:52:25,120 Speaker 1: Don't have somebody phone away and see how stressed he is. 983 00:52:25,239 --> 00:52:28,200 Speaker 1: Oh he would fall apart. They would all fall apart. 984 00:52:28,239 --> 00:52:30,759 Speaker 1: Everybody has a damn smartphone Like this is We've got 985 00:52:30,840 --> 00:52:33,759 Speaker 1: a rate of technology. Like I don't think I don't. 986 00:52:33,800 --> 00:52:36,440 Speaker 1: Sometimes I don't really know if old people understand how 987 00:52:36,560 --> 00:52:39,359 Speaker 1: much technology they are simply not aware of that Gen 988 00:52:39,480 --> 00:52:42,040 Speaker 1: Z and millennials have to deal with all time, because 989 00:52:42,080 --> 00:52:43,920 Speaker 1: like we're the we're the young people. We're the ones 990 00:52:43,960 --> 00:52:45,759 Speaker 1: that have to give a ship when there's a new app, 991 00:52:45,960 --> 00:52:47,799 Speaker 1: you know, like we have to deal with the ship. 992 00:52:47,840 --> 00:52:50,840 Speaker 1: Old people just don't don't know. It's so stupid that 993 00:52:50,840 --> 00:52:52,520 Speaker 1: they care about their smartphones. It's like, you can't get 994 00:52:52,560 --> 00:52:54,359 Speaker 1: a job without a smartphone. Of course they care about 995 00:52:55,000 --> 00:52:57,080 Speaker 1: but also I drive a lit right, you know, I 996 00:52:57,200 --> 00:53:00,279 Speaker 1: think too. But then like try and you know, frame 997 00:53:00,400 --> 00:53:03,480 Speaker 1: this list as somehow being indicative of what the values 998 00:53:03,520 --> 00:53:05,840 Speaker 1: are of millennials to be like dismissive of it, or 999 00:53:05,920 --> 00:53:08,080 Speaker 1: be like, I mean like the guy was like, I mean, look, 1000 00:53:08,120 --> 00:53:09,960 Speaker 1: this shows you were the greatest generation, I mean, the 1001 00:53:10,000 --> 00:53:11,920 Speaker 1: greatest country of all time, even generation. This is this 1002 00:53:11,920 --> 00:53:13,759 Speaker 1: is what they're mad about. I mean, Trump's I mean, 1003 00:53:13,760 --> 00:53:15,719 Speaker 1: Trump's doing a great job essentially, is what they're all 1004 00:53:15,760 --> 00:53:18,279 Speaker 1: trying to say. So confused by the story because the 1005 00:53:18,760 --> 00:53:21,680 Speaker 1: top two things are losing your wallet, which would apply 1006 00:53:21,800 --> 00:53:25,680 Speaker 1: to everyone, and arguing with your partner, which would apply 1007 00:53:25,840 --> 00:53:29,800 Speaker 1: to everyone, But then they try to like after they 1008 00:53:30,280 --> 00:53:33,120 Speaker 1: credit card fraud, and then they just kind of dismiss it. Yeah, 1009 00:53:33,160 --> 00:53:34,919 Speaker 1: the fact that everyone is stressed out by credit card 1010 00:53:35,200 --> 00:53:37,560 Speaker 1: like that's a real thing. Yeah, And after that clip 1011 00:53:37,600 --> 00:53:39,200 Speaker 1: cut off, one of them was like, well, I think 1012 00:53:39,239 --> 00:53:43,000 Speaker 1: the argument with your partner thing is actually about them 1013 00:53:43,200 --> 00:53:47,120 Speaker 1: using social media because like they don't have actual values 1014 00:53:47,400 --> 00:53:49,880 Speaker 1: or like they It was very confused. If that was 1015 00:53:49,920 --> 00:53:52,680 Speaker 1: a real list, were talking to real millennials eating as 1016 00:53:52,840 --> 00:53:55,799 Speaker 1: would be on that list. Yeah, everybody knows that that's 1017 00:53:55,880 --> 00:53:59,080 Speaker 1: gospel for this generation. Rumor spread that you're bad at 1018 00:53:59,120 --> 00:54:03,120 Speaker 1: eating app Yeah. Number three four defamed on Twitter by 1019 00:54:03,200 --> 00:54:07,160 Speaker 1: my cow my number one. That's right. I'm gonna pray 1020 00:54:07,239 --> 00:54:10,640 Speaker 1: for Fox and Friends. Yeah, having a fire tweet go unnoticed. 1021 00:54:11,880 --> 00:54:17,239 Speaker 1: My goodness, movie Pass Why they're back? I don't know 1022 00:54:17,400 --> 00:54:21,200 Speaker 1: why I saw the headline. I'm like, why movie pass 1023 00:54:21,320 --> 00:54:25,360 Speaker 1: is gonna stressing me out? Thank you? That should be 1024 00:54:25,400 --> 00:54:27,719 Speaker 1: on this movie pass giving me anxiety. We got a 1025 00:54:27,760 --> 00:54:30,719 Speaker 1: new list. Movie Pass number one fire tweet now going 1026 00:54:30,800 --> 00:54:35,400 Speaker 1: viral to eating ass number three, number three Devin naw 1027 00:54:35,480 --> 00:54:39,040 Speaker 1: talking about online number four anyway, So like they're coming 1028 00:54:39,120 --> 00:54:41,840 Speaker 1: back and they're doing the thing that got everyone in 1029 00:54:41,920 --> 00:54:44,239 Speaker 1: love with them, which is the unlimited plan. You know, 1030 00:54:44,560 --> 00:54:47,320 Speaker 1: see a movie every day. It's up to you do 1031 00:54:47,400 --> 00:54:51,239 Speaker 1: what you gotta do. But we don't get through. Yeah, 1032 00:54:51,320 --> 00:54:53,759 Speaker 1: we don't know what happened because last time we checked Jack, 1033 00:54:53,800 --> 00:54:56,319 Speaker 1: remember there's that article that like they were basically running 1034 00:54:56,360 --> 00:54:58,880 Speaker 1: out of like a room Dennis office. Yeah. Here's the 1035 00:54:59,560 --> 00:55:03,080 Speaker 1: next is whenever you're whenever you read about movie Pass, 1036 00:55:03,360 --> 00:55:06,239 Speaker 1: the story has to start out with admitting that money 1037 00:55:06,360 --> 00:55:09,120 Speaker 1: is fake. It's like, so you know how like money 1038 00:55:09,239 --> 00:55:13,120 Speaker 1: is fake? Movie passes back. I bet you wondered how 1039 00:55:13,160 --> 00:55:15,759 Speaker 1: Movie Pass makes money. Well they don't, but they're also 1040 00:55:15,920 --> 00:55:19,640 Speaker 1: very rich. It turns out money is fake essentially. Well 1041 00:55:19,680 --> 00:55:21,360 Speaker 1: here's the thing, you know, like when you look at it, right, 1042 00:55:21,400 --> 00:55:22,960 Speaker 1: So they're doing for a whole year. You could do 1043 00:55:23,040 --> 00:55:26,040 Speaker 1: one nineteen and you get the whole year free, okay, 1044 00:55:26,200 --> 00:55:29,719 Speaker 1: or month a month. But they still haven't really given 1045 00:55:29,800 --> 00:55:31,680 Speaker 1: details of how they're going to avoid all the funk 1046 00:55:31,719 --> 00:55:33,440 Speaker 1: ups that have happened last time. Remember, like they're like, oh, 1047 00:55:34,200 --> 00:55:36,840 Speaker 1: y'all can't watch Mission Impossible Fallout like they were like 1048 00:55:36,920 --> 00:55:38,920 Speaker 1: top movies or like, but you can see Gotti. Ecuse me, 1049 00:55:39,120 --> 00:55:42,120 Speaker 1: you can see Dotty starting Contra Volta, which I watched 1050 00:55:42,160 --> 00:55:46,879 Speaker 1: a prime video. It's the Bomb Drop the Bomb Nick, 1051 00:55:47,000 --> 00:55:52,759 Speaker 1: please think it was terrible. Um Now, so they say, 1052 00:55:52,880 --> 00:55:55,439 Speaker 1: like in this article Navy Clips, that the details remain 1053 00:55:55,520 --> 00:55:57,319 Speaker 1: vague for now, but apparently there will be no limit 1054 00:55:57,400 --> 00:55:59,759 Speaker 1: on how many two D movies you can see. When 1055 00:55:59,800 --> 00:56:02,239 Speaker 1: it comes to what movies will be available. See, that's 1056 00:56:02,280 --> 00:56:04,919 Speaker 1: where it gets tricky and business inside of they write 1057 00:56:04,920 --> 00:56:07,840 Speaker 1: that the new unlimited plan could place restrictions on subscribers 1058 00:56:07,920 --> 00:56:11,120 Speaker 1: title choices based on their location, day of movie, time 1059 00:56:11,200 --> 00:56:14,680 Speaker 1: of movie title, and the individual users historical usage sounds 1060 00:56:14,719 --> 00:56:18,440 Speaker 1: pretty limited. So suddenly it's like, yeah, unlimited, but you're 1061 00:56:18,440 --> 00:56:21,000 Speaker 1: here's some limiting factors. Here's what we're going to take 1062 00:56:21,040 --> 00:56:23,600 Speaker 1: into account. So I to me, this sounds like a 1063 00:56:23,680 --> 00:56:25,920 Speaker 1: last ditch effort to get a few more suckers on 1064 00:56:26,040 --> 00:56:29,800 Speaker 1: board before the full on death spiral. Yeah. Yeah, it 1065 00:56:29,920 --> 00:56:32,279 Speaker 1: seems like we already learned what we needed to know 1066 00:56:32,360 --> 00:56:36,520 Speaker 1: about movie Pass, which is they are an unsustainable business 1067 00:56:36,719 --> 00:56:39,839 Speaker 1: and the only ways that they're going to be able 1068 00:56:39,880 --> 00:56:43,640 Speaker 1: to convince people to invest in them is either fucking 1069 00:56:43,680 --> 00:56:46,839 Speaker 1: people over, like by limiting what they can actually see, 1070 00:56:47,120 --> 00:56:50,960 Speaker 1: or by selling your data. Booming economy. That's what we got. 1071 00:56:51,480 --> 00:56:54,279 Speaker 1: Boom boom boom. I want you in my room. This 1072 00:56:54,440 --> 00:56:57,160 Speaker 1: cell is just too hard. I can see all the 1073 00:56:57,200 --> 00:56:59,600 Speaker 1: shitty movies I want, except I can't see any of 1074 00:56:59,640 --> 00:57:01,520 Speaker 1: the ship movies I want, and I have to pay 1075 00:57:01,520 --> 00:57:04,520 Speaker 1: a hundred dollars at once. Yeah, because then they were 1076 00:57:04,520 --> 00:57:06,719 Speaker 1: seeing a great deal. They were tracking, like they know 1077 00:57:06,800 --> 00:57:09,000 Speaker 1: you're going to the theater, and then like through GPS, 1078 00:57:09,120 --> 00:57:11,279 Speaker 1: you know, like what businesses you go after, and they 1079 00:57:11,320 --> 00:57:13,480 Speaker 1: can start really building a profile like, oh, these are 1080 00:57:13,520 --> 00:57:15,640 Speaker 1: the habits of a movie view any time that deal 1081 00:57:15,760 --> 00:57:18,200 Speaker 1: seems too good to be true. Now it makes sense. 1082 00:57:18,360 --> 00:57:20,880 Speaker 1: Now it makes sense. They don't make money on the movies. 1083 00:57:21,040 --> 00:57:23,959 Speaker 1: They make money on selling your data to other advertisers 1084 00:57:23,960 --> 00:57:25,960 Speaker 1: who track you via GPS and see what stuff you 1085 00:57:26,000 --> 00:57:27,240 Speaker 1: go to. Well, that makes a lot of sense. But 1086 00:57:27,520 --> 00:57:29,280 Speaker 1: who knows if they have enough. But see, I think 1087 00:57:29,280 --> 00:57:30,800 Speaker 1: they were doing that already, but they didn't have enough 1088 00:57:30,840 --> 00:57:32,760 Speaker 1: money to keep it going. No, exactly. Well, they got 1089 00:57:32,840 --> 00:57:34,920 Speaker 1: to just sell more data, you know. They got to 1090 00:57:34,960 --> 00:57:37,640 Speaker 1: sell it to the point that people find out, Hey, Google, 1091 00:57:37,720 --> 00:57:40,040 Speaker 1: holler at them. They've made some change on the back 1092 00:57:40,160 --> 00:57:42,840 Speaker 1: end that you're not immediately aware of, but that will 1093 00:57:42,880 --> 00:57:45,480 Speaker 1: eventually find out about it after you've signed up. If 1094 00:57:45,520 --> 00:57:48,840 Speaker 1: you do sign up, that is incredibly invasive and fux 1095 00:57:48,920 --> 00:57:50,640 Speaker 1: you over in some way like that's the only way 1096 00:57:50,720 --> 00:57:55,280 Speaker 1: that this is happening. Yeah. That or that highlight reel 1097 00:57:55,400 --> 00:57:58,840 Speaker 1: of movies that they were showing around that was my 1098 00:57:58,920 --> 00:58:01,919 Speaker 1: favorite in the list went. He was like, ah, here, 1099 00:58:02,040 --> 00:58:04,080 Speaker 1: like you know, we're revamping, we're trying, we're trying to 1100 00:58:04,080 --> 00:58:06,040 Speaker 1: do a movie past two point. He's like, yo, show 1101 00:58:06,120 --> 00:58:08,040 Speaker 1: him the video real quick. And it was just this 1102 00:58:08,280 --> 00:58:12,560 Speaker 1: montage of just like moments from film no explanation. It's like, dude, 1103 00:58:12,560 --> 00:58:16,200 Speaker 1: remember Titanic, Dude, remember King of the World. Remember Matrix? 1104 00:58:16,840 --> 00:58:19,120 Speaker 1: And they're just like these like empty moments. Are these 1105 00:58:19,160 --> 00:58:21,400 Speaker 1: movies on movie pass? And I was just like just 1106 00:58:21,440 --> 00:58:26,200 Speaker 1: like to be like, remember cinema movies are sick, remember movies? 1107 00:58:26,480 --> 00:58:28,280 Speaker 1: Was there? Hey, so can I sign you up? And 1108 00:58:28,400 --> 00:58:32,919 Speaker 1: you got twenty million? Like what? Okay? Do you guys 1109 00:58:32,960 --> 00:58:35,120 Speaker 1: remember that? Remember when Trump came out with an action 1110 00:58:35,160 --> 00:58:39,520 Speaker 1: movie trailer about him and like, yes, boy really flies, 1111 00:58:39,600 --> 00:58:41,440 Speaker 1: time really flies like that. You know, it hasn't even 1112 00:58:41,440 --> 00:58:43,800 Speaker 1: been a fucking year since that ship went because I 1113 00:58:43,840 --> 00:58:47,040 Speaker 1: was in May. I think he was. People were talking 1114 00:58:47,080 --> 00:58:50,240 Speaker 1: about it for maybe two three days. That can't be true. No, 1115 00:58:50,400 --> 00:58:53,040 Speaker 1: it's it's that was less than a year ago. The 1116 00:58:53,080 --> 00:58:55,640 Speaker 1: Singapore thing was in May. That seems like that was 1117 00:58:55,680 --> 00:58:59,800 Speaker 1: in my twenties. Yeah, it all seems like it was. Yeah, 1118 00:58:59,840 --> 00:59:04,960 Speaker 1: just the other day, ship time. Huh. Let's check in 1119 00:59:05,080 --> 00:59:08,000 Speaker 1: with some good old fashioned scammers. Guys. Do you guys 1120 00:59:08,080 --> 00:59:11,120 Speaker 1: remember the go fund me homeless scam? Oh certainly? Oh yeah, 1121 00:59:11,160 --> 00:59:13,920 Speaker 1: where the woman was like, I was stranded on the roadside. 1122 00:59:14,440 --> 00:59:18,880 Speaker 1: The homeless man came up and was like, Yo, it's 1123 00:59:18,920 --> 00:59:21,200 Speaker 1: too dangerous out here. Let me go walk this gas 1124 00:59:21,280 --> 00:59:23,080 Speaker 1: canister and fill it up for you with my last 1125 00:59:23,320 --> 00:59:26,960 Speaker 1: couple of bucks. And she posted that story. That's the 1126 00:59:26,960 --> 00:59:29,000 Speaker 1: one we're talking about. Yeah, yeah, that's okay. And then 1127 00:59:29,000 --> 00:59:31,640 Speaker 1: they were like, go fund me for Johnny. He's a 1128 00:59:31,680 --> 00:59:34,040 Speaker 1: homeless guy, but he's one of the good ones, and 1129 00:59:34,160 --> 00:59:36,200 Speaker 1: we would like to give him some money, and everyone 1130 00:59:36,280 --> 00:59:41,640 Speaker 1: was like yes. They raised over dollars from that, and 1131 00:59:41,720 --> 00:59:46,680 Speaker 1: then it got massed. Now Johnny is still poor. Sorry, yeah, no, Well, 1132 00:59:46,720 --> 00:59:48,720 Speaker 1: what was wild is essentially that was a scam where 1133 00:59:48,720 --> 00:59:50,800 Speaker 1: they're like Okay, let's let's let's set up this old 1134 00:59:51,400 --> 00:59:53,280 Speaker 1: buy in on the scam. They were in on it. 1135 00:59:53,400 --> 00:59:56,000 Speaker 1: So it was this woman, her boyfriend, and the dude 1136 00:59:56,040 --> 00:59:58,960 Speaker 1: who was like the good Samaritan quote unquote, and they 1137 00:59:59,040 --> 01:00:00,680 Speaker 1: put him up to be like this man, he was 1138 01:00:00,760 --> 01:00:02,920 Speaker 1: so selfless. They got to they're like, let's give him 1139 01:00:02,920 --> 01:00:05,479 Speaker 1: some money to get him back on over to those 1140 01:00:05,560 --> 01:00:08,000 Speaker 1: people that no, see that's the thing. They were sitting 1141 01:00:08,080 --> 01:00:10,000 Speaker 1: on it, and there was a dispute where like the 1142 01:00:10,080 --> 01:00:11,680 Speaker 1: dude was like, Yo, they're not giving me the money, 1143 01:00:12,000 --> 01:00:14,360 Speaker 1: and they were like, oh, he's you know, we're afraid 1144 01:00:14,400 --> 01:00:16,120 Speaker 1: he's gonna use it for drugs, so we're dolling it 1145 01:00:16,200 --> 01:00:18,200 Speaker 1: out to him. But really they were all in on it. 1146 01:00:18,280 --> 01:00:20,200 Speaker 1: And then he started blowing up the whole scam, being 1147 01:00:20,240 --> 01:00:22,760 Speaker 1: like Yo, y'all just bought a new BMW, right, Like 1148 01:00:22,880 --> 01:00:26,000 Speaker 1: what is this a scam? Right? And then also it 1149 01:00:26,080 --> 01:00:28,480 Speaker 1: had to be like, y god, you're gonna make me 1150 01:00:28,560 --> 01:00:30,280 Speaker 1: do it, but because if I can't get this money, 1151 01:00:30,320 --> 01:00:31,680 Speaker 1: then I'm just gonna make this whole thing go down. 1152 01:00:31,760 --> 01:00:34,680 Speaker 1: You can't going on the scam with someone and immediately 1153 01:00:34,800 --> 01:00:37,520 Speaker 1: fuck them over while people are still looking at you yeah, 1154 01:00:37,640 --> 01:00:39,880 Speaker 1: come on, that is and now they're going to prison. 1155 01:00:40,320 --> 01:00:42,640 Speaker 1: Yeah why we're talking about well, yeah, because they have 1156 01:00:42,720 --> 01:00:46,160 Speaker 1: now had to plead guilty in court to conspiracy. So 1157 01:00:46,400 --> 01:00:49,800 Speaker 1: the man his name is Johnny Bobbitt, damn great last name. 1158 01:00:50,000 --> 01:00:53,080 Speaker 1: That name is just making way. Yeah, John Bobbitt, they're 1159 01:00:53,080 --> 01:00:56,000 Speaker 1: crushing it. Pleaded guilty to conspiracy to commit money laundering. 1160 01:00:56,080 --> 01:00:59,360 Speaker 1: And then the woman behind it, Caitlin McClure, she pleaded 1161 01:00:59,400 --> 01:01:01,920 Speaker 1: guilty to a charge of conspiracy to commit wire fraud. 1162 01:01:02,680 --> 01:01:04,640 Speaker 1: And you know, they're they could they could see some 1163 01:01:05,920 --> 01:01:09,240 Speaker 1: twenty years twenty years for her, ten years for him respectively. 1164 01:01:09,800 --> 01:01:13,120 Speaker 1: That all for yeah, because people, that's the thing, you know, 1165 01:01:13,280 --> 01:01:17,080 Speaker 1: when you want to exploit people's you know, I admire 1166 01:01:17,120 --> 01:01:20,000 Speaker 1: the hustle. I mean that's they're just they're out here. 1167 01:01:20,320 --> 01:01:23,919 Speaker 1: They figured out a little thing to exploit. They should 1168 01:01:23,960 --> 01:01:27,560 Speaker 1: have figured out how their shareholders of go fund me 1169 01:01:27,680 --> 01:01:30,400 Speaker 1: are making a sweet little five percent off of all 1170 01:01:30,480 --> 01:01:35,920 Speaker 1: of this scamming. Yeah how yeah, give more is for 1171 01:01:35,920 --> 01:01:37,919 Speaker 1: a good cause. One of the one of the hosts 1172 01:01:37,920 --> 01:01:40,240 Speaker 1: of Pods of America is like a shareholder and Go 1173 01:01:40,360 --> 01:01:42,440 Speaker 1: fund Me, Like he's like one of the big investors 1174 01:01:42,480 --> 01:01:44,640 Speaker 1: in go fund Me, which is really great because like 1175 01:01:44,800 --> 01:01:47,600 Speaker 1: one third of go fund me is medical bills. And 1176 01:01:47,720 --> 01:01:50,520 Speaker 1: he's like, so, I'm not totally sure about medicare for all, 1177 01:01:51,000 --> 01:01:54,080 Speaker 1: Medicare for some, and everyone's like you you make money 1178 01:01:54,120 --> 01:01:57,120 Speaker 1: off people not having medical care and like straight up 1179 01:01:57,160 --> 01:02:03,800 Speaker 1: crowdfunding right, interesting, Oh, Dan Phifer. So he was VP 1180 01:02:04,080 --> 01:02:10,200 Speaker 1: of go fund Me, Dan Phifer, and then now he 1181 01:02:10,280 --> 01:02:12,920 Speaker 1: continues to have a financial stake in the company. I 1182 01:02:13,040 --> 01:02:14,920 Speaker 1: think I have to look into this more. But based 1183 01:02:14,960 --> 01:02:18,520 Speaker 1: off of just cursory research, alright, d go fund me 1184 01:02:18,720 --> 01:02:21,680 Speaker 1: is not you know, they it works for some and 1185 01:02:22,000 --> 01:02:24,000 Speaker 1: uh you know they made what was it fifty two 1186 01:02:24,160 --> 01:02:29,800 Speaker 1: billion last year like go fund me raised. Yeah, so yeah, 1187 01:02:29,840 --> 01:02:32,560 Speaker 1: it's always a fun like that's always a fun point 1188 01:02:32,640 --> 01:02:34,920 Speaker 1: in the like, uh, you know, how would we pay 1189 01:02:35,040 --> 01:02:37,040 Speaker 1: for like medicare for everybody? How are we going to 1190 01:02:37,080 --> 01:02:39,000 Speaker 1: pay for it? It's like people are already paying for it. 1191 01:02:39,080 --> 01:02:41,280 Speaker 1: They're doing it through go fund me and given Dan 1192 01:02:41,360 --> 01:02:46,400 Speaker 1: five for five Dan Dan, because they are I mean, 1193 01:02:46,480 --> 01:02:48,120 Speaker 1: from the last few times I heard them talk about 1194 01:02:48,160 --> 01:02:50,760 Speaker 1: single pair of stuff to like push him back. They're 1195 01:02:50,760 --> 01:02:53,720 Speaker 1: pushing well because when it was when it was just 1196 01:02:54,160 --> 01:02:57,080 Speaker 1: like a you know, kind of a fringe issue. They 1197 01:02:57,120 --> 01:02:59,000 Speaker 1: were like, well, I don't know, and now like Kamala 1198 01:02:59,000 --> 01:03:00,720 Speaker 1: Harris is on board or they and stuff, and they're 1199 01:03:00,760 --> 01:03:03,800 Speaker 1: like maybe they kind of they'll push for it sometimes, 1200 01:03:03,880 --> 01:03:05,600 Speaker 1: but then you know they've got their reasons for not. 1201 01:03:05,920 --> 01:03:11,000 Speaker 1: Like health insurance lobbyists affect every politician, not just Republican politicians. 1202 01:03:11,960 --> 01:03:14,600 Speaker 1: Some of them are, some of them aren't. And it's 1203 01:03:14,640 --> 01:03:16,520 Speaker 1: a shame too, because man, there's so many times I 1204 01:03:16,600 --> 01:03:19,120 Speaker 1: go fund me like it's a good place to actually 1205 01:03:19,160 --> 01:03:21,880 Speaker 1: help people. I mean, any paring is the same, and 1206 01:03:22,000 --> 01:03:23,960 Speaker 1: you know there's like a bunch of funding sites like that, 1207 01:03:24,040 --> 01:03:26,240 Speaker 1: and it's like, yeah, there is the aspect of when 1208 01:03:26,320 --> 01:03:28,520 Speaker 1: when you give the money to go fund me, you're 1209 01:03:28,720 --> 01:03:30,440 Speaker 1: trying to give money to your friend or your friend's 1210 01:03:30,480 --> 01:03:32,800 Speaker 1: dog or whatever the fuck, you know, like somebody who 1211 01:03:32,840 --> 01:03:34,720 Speaker 1: you think deserves it. You're not like trying to give 1212 01:03:34,760 --> 01:03:36,560 Speaker 1: money to the guy who made a website where they 1213 01:03:36,640 --> 01:03:39,120 Speaker 1: push money around someone who will wisely invest it, like 1214 01:03:39,200 --> 01:03:43,360 Speaker 1: your friend's dog. There you go. Uh sorry, June, it's 1215 01:03:43,360 --> 01:03:46,600 Speaker 1: been a pleasure having you being on the show always. 1216 01:03:46,760 --> 01:03:49,200 Speaker 1: Where can people find you? People can find me on 1217 01:03:49,280 --> 01:03:51,400 Speaker 1: Instagram at Hay Sara June, or you can go to 1218 01:03:51,520 --> 01:03:53,320 Speaker 1: High Priestess comedy dot com. If you want to come 1219 01:03:53,360 --> 01:03:56,160 Speaker 1: to my comedy show in Los Angeles is Saturday, March 1220 01:03:56,840 --> 01:03:59,760 Speaker 1: eight pm. Comedy dot com. There you go. It's a 1221 01:03:59,800 --> 01:04:02,400 Speaker 1: great show. It's gonna be super fun. Hi, get high 1222 01:04:02,800 --> 01:04:06,280 Speaker 1: and then get your terror read. Yeah, I get it. 1223 01:04:07,360 --> 01:04:10,600 Speaker 1: Is there a tweet or any active social media you've 1224 01:04:10,640 --> 01:04:13,720 Speaker 1: been enjoying. I'm gonna I'll just do two tweets and 1225 01:04:13,800 --> 01:04:16,520 Speaker 1: both of them are from rogov Metta, who is was 1226 01:04:16,640 --> 01:04:19,760 Speaker 1: a New York comedian who died this week. Not a 1227 01:04:19,800 --> 01:04:21,520 Speaker 1: personal friend of mine, friends with many of my friends, 1228 01:04:21,880 --> 01:04:23,800 Speaker 1: very big hit to the scene. And I just want 1229 01:04:23,840 --> 01:04:26,080 Speaker 1: to read two of his tweets. One and this was 1230 01:04:26,240 --> 01:04:28,600 Speaker 1: his last tweet. Okay, but how do we know Penis 1231 01:04:28,640 --> 01:04:30,920 Speaker 1: c K isn't just a Martin Urbano character. That one 1232 01:04:31,000 --> 01:04:34,840 Speaker 1: goes out to meta um and the other regard tweet 1233 01:04:34,840 --> 01:04:37,280 Speaker 1: I really enjoyed is Nancy Pelosi is Lena Dunham of 1234 01:04:37,320 --> 01:04:42,840 Speaker 1: Congress looking cold. So that's that's my little r I 1235 01:04:42,960 --> 01:04:45,920 Speaker 1: p you know, for a very valuable part of the 1236 01:04:46,000 --> 01:04:49,400 Speaker 1: New York comedy scene who is sadly no longer with us. Sorry, 1237 01:04:49,440 --> 01:04:51,280 Speaker 1: to go out on a low note. But his handle 1238 01:04:51,560 --> 01:04:54,440 Speaker 1: is at a c l U official, which still funny. 1239 01:04:54,480 --> 01:05:00,880 Speaker 1: Baby mylesbreak people find you find me, Follow me on 1240 01:05:00,960 --> 01:05:04,040 Speaker 1: Twitter and Instagram at Miles of Gray. Um, there was 1241 01:05:04,120 --> 01:05:06,040 Speaker 1: a tweet I liked. It was sort of a reply 1242 01:05:06,200 --> 01:05:09,040 Speaker 1: to another tweet from the Q and on anonymous podcast 1243 01:05:09,640 --> 01:05:12,040 Speaker 1: UM where they talked about how you know that there 1244 01:05:12,120 --> 01:05:15,240 Speaker 1: was a New York like a crime boss Frank Calli 1245 01:05:15,280 --> 01:05:17,560 Speaker 1: who was like shot and killed in Staten Island and 1246 01:05:17,680 --> 01:05:20,400 Speaker 1: that this guy, yeah, like last week, this dude at 1247 01:05:20,480 --> 01:05:22,920 Speaker 1: his arrangement, he like held up his hand and he 1248 01:05:22,960 --> 01:05:24,760 Speaker 1: had like Q and on ship written on his hand 1249 01:05:24,800 --> 01:05:28,200 Speaker 1: and like the guy who killed the mob boss outside 1250 01:05:28,240 --> 01:05:30,480 Speaker 1: of his front door. And that people are like, yo, 1251 01:05:30,640 --> 01:05:33,160 Speaker 1: what's what's the motive here? Like because this isn't like 1252 01:05:33,200 --> 01:05:36,040 Speaker 1: a normal ganglet and turned around and showed his acid. 1253 01:05:36,080 --> 01:05:39,440 Speaker 1: It was a pizza anyway, So that that story is 1254 01:05:39,480 --> 01:05:41,680 Speaker 1: still kind of ongoing. But this reply underneath someone just 1255 01:05:41,760 --> 01:05:44,480 Speaker 1: goes tags Marvel goes hey at Marvel, I'd like to 1256 01:05:44,520 --> 01:05:46,840 Speaker 1: pitch a new series where the Punisher spends eleven hours 1257 01:05:46,880 --> 01:05:52,640 Speaker 1: a day watching YouTube videos to real um. And then 1258 01:05:53,440 --> 01:05:55,800 Speaker 1: this is from Chip Henckelman, you know who writes for 1259 01:05:55,920 --> 01:05:58,680 Speaker 1: Mike Huckabee, or you know that's what he says, but 1260 01:05:58,760 --> 01:06:01,640 Speaker 1: it's like a joke account away. But at chip Kleman says, 1261 01:06:01,840 --> 01:06:04,520 Speaker 1: my office is inundated on a daily basis with dozens 1262 01:06:04,560 --> 01:06:06,960 Speaker 1: of renderings of Mike Huckabee in every position of a 1263 01:06:07,080 --> 01:06:10,440 Speaker 1: human centipede. Unlike at Devin NOONEZ, We've decided not to 1264 01:06:10,520 --> 01:06:12,960 Speaker 1: take legal action and instead double down on our core 1265 01:06:13,040 --> 01:06:15,960 Speaker 1: mission to create wildly inventive a plus goofs and gags. 1266 01:06:18,280 --> 01:06:24,720 Speaker 1: Right Chipman, great comedy writer for a great comedian. Uh oh. 1267 01:06:24,880 --> 01:06:28,160 Speaker 1: And also te Public is having a sale for the 1268 01:06:28,280 --> 01:06:32,479 Speaker 1: first time ever. They are taking thirty five per cent 1269 01:06:32,720 --> 01:06:35,880 Speaker 1: off all the merch that isn't three five plus a 1270 01:06:35,960 --> 01:06:38,920 Speaker 1: percent signed off merch. That is a huge sale. So 1271 01:06:39,040 --> 01:06:40,680 Speaker 1: you want that new Zight Gang shirt. Yes, there's a 1272 01:06:40,720 --> 01:06:44,600 Speaker 1: new Zight Gang shirt. Also, get ready because that Campus 1273 01:06:44,680 --> 01:06:47,840 Speaker 1: Wars Veteran T shirt might be coming soon too, So 1274 01:06:48,000 --> 01:06:50,479 Speaker 1: keep your eyes peeled to the te Public site, baby, 1275 01:06:50,560 --> 01:06:52,400 Speaker 1: because they're doing that sale, and please buy the merch 1276 01:06:52,440 --> 01:06:55,600 Speaker 1: because that helps keep the lights on. You can find 1277 01:06:55,600 --> 01:06:58,240 Speaker 1: me on Twitter at Jack Underscore O Brian couple of 1278 01:06:58,240 --> 01:07:02,240 Speaker 1: tweets I like the nano and Folisa tweeted all in 1279 01:07:02,320 --> 01:07:05,000 Speaker 1: favor of calling a single sheep a shoot say I 1280 01:07:05,960 --> 01:07:09,560 Speaker 1: and I really like that idea, and then Sewan Clements 1281 01:07:09,800 --> 01:07:12,960 Speaker 1: tweeted Twitter suggesting all these dumb changes when they only 1282 01:07:13,080 --> 01:07:15,880 Speaker 1: need to make one change. Follow me by Uncle Cracker 1283 01:07:15,920 --> 01:07:19,280 Speaker 1: should play automatically every time you see my tweets. UH, 1284 01:07:20,320 --> 01:07:22,720 Speaker 1: And you can find us on Twitter at Daily Zeitgeist. 1285 01:07:22,720 --> 01:07:24,880 Speaker 1: We're at the Daily Zeitgeist on Instagram. We have a 1286 01:07:24,880 --> 01:07:27,640 Speaker 1: Facebook fan page. On the website daily Zeitgeist dot com. 1287 01:07:27,760 --> 01:07:31,480 Speaker 1: We posted our episodes and our footno we lick off 1288 01:07:31,520 --> 01:07:34,800 Speaker 1: to the information that we talked about today's episode exclusive now, 1289 01:07:35,440 --> 01:07:39,160 Speaker 1: as well as the song we write out on Uh. 1290 01:07:39,280 --> 01:07:43,120 Speaker 1: This is from Wild Nothing, which is a project from 1291 01:07:43,200 --> 01:07:45,840 Speaker 1: this guy Jack Tatum, and it's just kind of like 1292 01:07:46,000 --> 01:07:48,960 Speaker 1: this wild retro vibe. It makes me feel like I'm 1293 01:07:49,000 --> 01:07:51,640 Speaker 1: in a you know, a convertible one on pcight with 1294 01:07:51,720 --> 01:07:55,160 Speaker 1: the top down. We're in a white fucking jacket, you 1295 01:07:55,200 --> 01:07:58,240 Speaker 1: know what I mean, exactly what you exactly And it 1296 01:07:58,360 --> 01:08:00,760 Speaker 1: just got that that old school vibe to it at 1297 01:08:00,800 --> 01:08:02,640 Speaker 1: eighties five. That's since I don't know what I don't 1298 01:08:02,640 --> 01:08:04,000 Speaker 1: know how to describe it, but it will make you 1299 01:08:04,040 --> 01:08:07,880 Speaker 1: feel warm. So this is called Partners in Motion about Wildnough. Alright, 1300 01:08:07,920 --> 01:08:09,840 Speaker 1: we're gonna write out on that. We will be back 1301 01:08:09,880 --> 01:08:12,600 Speaker 1: tomorrow because it is a daily podcast, and we will 1302 01:08:12,640 --> 01:08:27,679 Speaker 1: tell Hi, my Pard drinking up if you know, lie, 1303 01:08:28,400 --> 01:08:35,759 Speaker 1: so I didn't do it line time. Very nice,