1 00:00:00,200 --> 00:00:03,480 Speaker 1: Hello the Internet, and welcome to this episode of The 2 00:00:03,600 --> 00:00:07,880 Speaker 1: Weekly Zeitgeist. Uh. These are some of our favorite segments 3 00:00:08,160 --> 00:00:14,880 Speaker 1: from this week, all edited together into one NonStop infotainment 4 00:00:16,079 --> 00:00:22,440 Speaker 1: last stravaganza. Uh yeah, So, without further ado, here is 5 00:00:22,720 --> 00:00:25,959 Speaker 1: the Weekly Zeitgeist. Really, Matt, what is something that you 6 00:00:25,960 --> 00:00:28,560 Speaker 1: think is over it? This is a little abstract, but 7 00:00:28,640 --> 00:00:32,440 Speaker 1: I think having cool taste is overrated, and this is 8 00:00:32,520 --> 00:00:37,040 Speaker 1: related to liking Pattington. I think that too many people, 9 00:00:37,280 --> 00:00:41,560 Speaker 1: especially in Los Angeles or wherever, are obsessed with having 10 00:00:41,560 --> 00:00:45,760 Speaker 1: the most obscure, interesting taste and what it creates as 11 00:00:45,760 --> 00:00:48,640 Speaker 1: a shame culture where you feel ashamed of things that 12 00:00:48,680 --> 00:00:50,600 Speaker 1: you might get joy from that aren't cool, and I 13 00:00:50,600 --> 00:00:52,600 Speaker 1: think we should get over that. Do you have a 14 00:00:52,720 --> 00:00:56,120 Speaker 1: do you have an example of something else you've felt 15 00:00:56,160 --> 00:00:58,440 Speaker 1: shame about liking? Um, Well, this one is now a 16 00:00:58,480 --> 00:01:01,680 Speaker 1: little complicated because our new pub look persona. But Taylor Swift, 17 00:01:01,760 --> 00:01:04,080 Speaker 1: for a long time was someone that I really enjoyed 18 00:01:04,280 --> 00:01:08,240 Speaker 1: her music, her album. Now it's she's like kind of 19 00:01:08,240 --> 00:01:10,920 Speaker 1: maybe not the best person or whatever is going on 20 00:01:10,959 --> 00:01:12,800 Speaker 1: with her, But I felt a lot of shame for 21 00:01:12,840 --> 00:01:15,399 Speaker 1: liking Taylor Swift from what do you think of the 22 00:01:15,400 --> 00:01:20,960 Speaker 1: song shake It Off. I like, like I've taken a 23 00:01:21,000 --> 00:01:24,800 Speaker 1: lot of ship for really, uh standing up for that song. Yeah, 24 00:01:25,000 --> 00:01:27,480 Speaker 1: it's you know, it's it's a great song. You gotta 25 00:01:27,480 --> 00:01:28,760 Speaker 1: stand ford what you believe in Jack. I didn't. You 26 00:01:28,800 --> 00:01:31,080 Speaker 1: know the reason why we haven't seen Jack shirtless because 27 00:01:31,080 --> 00:01:34,959 Speaker 1: he has all the lyrics tattooed along with the big 28 00:01:35,000 --> 00:01:42,440 Speaker 1: Eagle for some Bloe Kim uh first generation Korean or 29 00:01:42,880 --> 00:01:46,520 Speaker 1: second generation Korean, depending on So this is the main 30 00:01:46,560 --> 00:01:49,080 Speaker 1: thing I want to talk about is the fact that 31 00:01:49,120 --> 00:01:53,360 Speaker 1: there's no agreed on definition of first generation Korean. I 32 00:01:53,360 --> 00:01:56,600 Speaker 1: thought I assumed first generation meant that you were the 33 00:01:56,600 --> 00:02:00,160 Speaker 1: first generation that was born in the United States. Uh, 34 00:02:00,360 --> 00:02:04,280 Speaker 1: my wife is first generation Korean, like Chloe Kim Uh. 35 00:02:04,320 --> 00:02:07,880 Speaker 1: And apparently that's not an agreed on thing because I 36 00:02:07,880 --> 00:02:11,040 Speaker 1: saw somebody referring to Chloe Kim as second generation and 37 00:02:11,120 --> 00:02:15,360 Speaker 1: her parents who immigrated here as first generation American. Let's 38 00:02:15,400 --> 00:02:18,119 Speaker 1: just make up our minds, guys. Come on, Yeah, wait, 39 00:02:18,160 --> 00:02:21,639 Speaker 1: so there's no like dictionary definition of what counts. No, 40 00:02:21,840 --> 00:02:25,440 Speaker 1: when you go to a Wikipedia, they say first generation 41 00:02:25,560 --> 00:02:29,520 Speaker 1: means one of two completely conflicting things. Because in Japanese, 42 00:02:29,760 --> 00:02:33,120 Speaker 1: I'm considered niss, which is a person born in the 43 00:02:33,200 --> 00:02:36,320 Speaker 1: US whose parents are from Japan. Yeah, and that's considered 44 00:02:36,400 --> 00:02:39,200 Speaker 1: second generation. But I'm like, but aren't I the first? 45 00:02:39,760 --> 00:02:42,440 Speaker 1: You feel like it's about your birthright immate, So I 46 00:02:42,480 --> 00:02:45,760 Speaker 1: don't know, man, what there's such a robust racist lexicon 47 00:02:45,840 --> 00:02:52,240 Speaker 1: in every culture. Um, But anyways, she crushed it. She 48 00:02:52,840 --> 00:02:56,720 Speaker 1: was basically already had the gold medal locked away, and 49 00:02:56,760 --> 00:02:59,480 Speaker 1: then she was like, you know, I really didn't want 50 00:02:59,480 --> 00:03:02,840 Speaker 1: to come here air and just win gold without doing 51 00:03:02,880 --> 00:03:05,359 Speaker 1: my best, and so she put up a final run 52 00:03:05,440 --> 00:03:08,320 Speaker 1: that like scored a ninety eight or something like that. 53 00:03:08,520 --> 00:03:10,880 Speaker 1: She blacked out because I think the one I think 54 00:03:10,919 --> 00:03:13,320 Speaker 1: it's a Chinese snowboarder who was the only the closest 55 00:03:13,320 --> 00:03:15,000 Speaker 1: person with a presh on her and when she fucked 56 00:03:15,080 --> 00:03:17,160 Speaker 1: up her last trick, it was in the bag. And 57 00:03:17,160 --> 00:03:18,959 Speaker 1: then she went and she was like, alright, fuck it, 58 00:03:19,240 --> 00:03:22,160 Speaker 1: let me show you how Chloe Kim does. And yeah, 59 00:03:22,200 --> 00:03:25,680 Speaker 1: it was. She had backed back ten eighty degree spins, 60 00:03:26,400 --> 00:03:29,239 Speaker 1: which again I'm not good enough at math to figure 61 00:03:29,880 --> 00:03:34,800 Speaker 1: three three spins, which that that's too many spins for 62 00:03:34,880 --> 00:03:37,040 Speaker 1: somebody to be able to do in the air and 63 00:03:37,120 --> 00:03:39,760 Speaker 1: not throw up on themselves. You can see why they 64 00:03:39,800 --> 00:03:44,880 Speaker 1: came up with euphemisms. And she's doing one to three spins, 65 00:03:44,920 --> 00:03:49,560 Speaker 1: three three, she did back to back three air spins 66 00:03:50,280 --> 00:03:54,920 Speaker 1: and that's like six spins. That would be me if 67 00:03:54,960 --> 00:03:58,480 Speaker 1: I was an Olympics commentator. Sometimes they get too thick 68 00:03:58,560 --> 00:04:01,320 Speaker 1: with the lingo though, yeah, where I'm just like, what 69 00:04:01,360 --> 00:04:06,720 Speaker 1: the fund does that mean? You're like me into nosebone? 70 00:04:07,480 --> 00:04:09,160 Speaker 1: I mean that ship looked dope. I don't know a 71 00:04:09,240 --> 00:04:15,840 Speaker 1: rodeo flip is, but but both her and Sean White, yeah, 72 00:04:15,880 --> 00:04:20,200 Speaker 1: the flying Tomato both looked like we we talked yesterday 73 00:04:20,320 --> 00:04:24,720 Speaker 1: about the Russian figure skater who's like fifteen years old 74 00:04:24,760 --> 00:04:27,360 Speaker 1: and who when you watch her skate you can just 75 00:04:27,680 --> 00:04:30,640 Speaker 1: like it's your eyes can tell the difference that she's 76 00:04:30,720 --> 00:04:32,599 Speaker 1: like a level above even if you don't know shit 77 00:04:32,680 --> 00:04:35,080 Speaker 1: about figure skating. And like I had the same experience 78 00:04:35,080 --> 00:04:38,800 Speaker 1: with Chloe Kim and uh Sean White, like they we're 79 00:04:38,839 --> 00:04:43,240 Speaker 1: both just they looked like their bodies worked differently with 80 00:04:43,279 --> 00:04:46,240 Speaker 1: gravity than the rest of the competitors. They spun much more. 81 00:04:46,400 --> 00:04:49,200 Speaker 1: You could really see like people torking their bodies to 82 00:04:49,240 --> 00:04:50,760 Speaker 1: get the spin, where you just see them kind of 83 00:04:50,800 --> 00:04:53,479 Speaker 1: cows just I'm spinning out of it. And that is 84 00:04:53,520 --> 00:04:57,240 Speaker 1: my expert commentary on stoboard. But yeah, shout out to 85 00:04:57,279 --> 00:04:59,880 Speaker 1: Chloe Can. I can't imagine that it was an easy 86 00:05:00,080 --> 00:05:01,960 Speaker 1: thing for her to be like, no, I don't want 87 00:05:01,960 --> 00:05:05,320 Speaker 1: to play violin and piano, mom and dad, I wanna 88 00:05:05,720 --> 00:05:09,920 Speaker 1: do snowboarding. Yeah. I felt bad as a as an 89 00:05:09,960 --> 00:05:12,520 Speaker 1: Asian kid. I felt like even the gold medal might 90 00:05:12,520 --> 00:05:15,920 Speaker 1: not be good enough for her. Yeah, did? She was like, 91 00:05:15,960 --> 00:05:21,040 Speaker 1: what school did she go to? Like? What, she's seven? School? Well, 92 00:05:21,080 --> 00:05:24,080 Speaker 1: we'll see, Uh, well, should be Harvard. I'm like, I 93 00:05:24,120 --> 00:05:26,000 Speaker 1: don't look, mom, I didn't go there. And she's like, 94 00:05:26,040 --> 00:05:28,159 Speaker 1: that's why we don't talking to get her into Harvard. 95 00:05:28,920 --> 00:05:31,800 Speaker 1: She's like I love this that guy still So just 96 00:05:31,839 --> 00:05:36,440 Speaker 1: a developing story is over the weekend, and towards the 97 00:05:36,520 --> 00:05:41,599 Speaker 1: end of last week, one of Trump's main dudes, Rob Porter, 98 00:05:42,720 --> 00:05:47,760 Speaker 1: was sort of fired slash resigned uh in a really 99 00:05:47,880 --> 00:05:50,000 Speaker 1: like The description of it in this New York Times 100 00:05:50,040 --> 00:05:53,359 Speaker 1: piece about his last few days makes it sound like 101 00:05:53,400 --> 00:05:55,640 Speaker 1: he just like could not get the hint, like he 102 00:05:55,640 --> 00:05:58,000 Speaker 1: would go back to John Kelly and be like, hey, 103 00:05:58,080 --> 00:06:01,080 Speaker 1: so I'm having second thoughts about resigning. He was like, no, 104 00:06:01,160 --> 00:06:04,200 Speaker 1: you're you're fired, Like you have to leave. He was 105 00:06:04,240 --> 00:06:06,880 Speaker 1: like all right, and he's like, so I'll just take 106 00:06:06,920 --> 00:06:09,240 Speaker 1: a couple of days to get my stuff together, and 107 00:06:09,320 --> 00:06:11,560 Speaker 1: Kelly's like, no, you like need to be out of here, 108 00:06:11,800 --> 00:06:14,480 Speaker 1: like you're making me look really bad. And then like 109 00:06:14,600 --> 00:06:17,320 Speaker 1: the next day he's still like gathering a stuff from 110 00:06:17,360 --> 00:06:20,359 Speaker 1: his desk and he's just like, uh, but anyways, this 111 00:06:20,400 --> 00:06:25,440 Speaker 1: guy's a human monster who apparently like physically abused two 112 00:06:25,480 --> 00:06:29,680 Speaker 1: of his ex wives and um, yeah, really just like 113 00:06:30,279 --> 00:06:33,680 Speaker 1: horrifying testimony from them. And it's wild how the White 114 00:06:33,680 --> 00:06:36,160 Speaker 1: House just cannot get their ship together to like, you know, 115 00:06:36,200 --> 00:06:38,559 Speaker 1: come out and aggressively like we have a zero toalrance policy. 116 00:06:38,600 --> 00:06:40,520 Speaker 1: It's literally the easiest thing in the world to just 117 00:06:40,520 --> 00:06:45,560 Speaker 1: be like that was bad, he should go. And that's 118 00:06:45,760 --> 00:06:49,440 Speaker 1: essentially what they finally got around to doing yesterday on 119 00:06:49,520 --> 00:06:54,320 Speaker 1: the you know, Sunday morning talk shows, they kind of 120 00:06:54,480 --> 00:06:58,240 Speaker 1: all went out and blanketed their waves with being like, yeah, 121 00:06:58,279 --> 00:07:00,280 Speaker 1: you know, once we found out we got rid of him, 122 00:07:00,360 --> 00:07:04,239 Speaker 1: it's unacceptable. Uh and you know that's what the president thinks. 123 00:07:04,320 --> 00:07:07,920 Speaker 1: But man, the President on Twitter did not give that impression. 124 00:07:08,200 --> 00:07:10,600 Speaker 1: At all. He the only thing he tweeted about with 125 00:07:10,640 --> 00:07:13,960 Speaker 1: regards to this, and uh, you know, it wasn't necessarily 126 00:07:14,000 --> 00:07:15,720 Speaker 1: clear that it was with regards to this, but he 127 00:07:15,760 --> 00:07:18,200 Speaker 1: did tweet about how like, you know, what, is there 128 00:07:18,240 --> 00:07:22,480 Speaker 1: no do process anymore? People's lives are being ruined over allegations. 129 00:07:23,000 --> 00:07:25,880 Speaker 1: Uh I saw that tweet. I feel like every time 130 00:07:25,920 --> 00:07:28,000 Speaker 1: I see a Donald Trump tweet, I have to like 131 00:07:28,120 --> 00:07:31,240 Speaker 1: double check whether it's real. I'm always like, is this 132 00:07:31,320 --> 00:07:34,440 Speaker 1: a parody account? Please? He didn't say, oh my god, 133 00:07:34,480 --> 00:07:37,440 Speaker 1: no he did. Right, It's like the Gorilla Channel thing 134 00:07:37,560 --> 00:07:42,560 Speaker 1: with pixelated boat. It's like, it's hard to know, but 135 00:07:42,560 --> 00:07:44,440 Speaker 1: I guess that makes sense for somebody who has his 136 00:07:44,680 --> 00:07:47,800 Speaker 1: own horrible history to deal with that. Of Course, he 137 00:07:47,840 --> 00:07:49,880 Speaker 1: can't come on and be like, yeah, that's a problem, 138 00:07:49,920 --> 00:07:52,000 Speaker 1: because then the conversation would neverely be like, okay, now 139 00:07:52,040 --> 00:07:54,320 Speaker 1: what about you? So the only card he can play 140 00:07:54,320 --> 00:07:58,040 Speaker 1: is well, these allegations many And it's also just a 141 00:07:58,120 --> 00:08:02,800 Speaker 1: reflection of his overall sort of he treats this entire 142 00:08:02,880 --> 00:08:07,080 Speaker 1: job like it's you know, he works off of loyalty only, 143 00:08:07,240 --> 00:08:09,760 Speaker 1: like it's just like, well, is this person my friend, 144 00:08:09,960 --> 00:08:12,920 Speaker 1: then they're a good person, and you know, I think 145 00:08:12,920 --> 00:08:17,280 Speaker 1: that works in business, especially when you have like a 146 00:08:17,400 --> 00:08:20,360 Speaker 1: multimillion dollar heads start because you invested millions of dollars 147 00:08:20,960 --> 00:08:25,800 Speaker 1: from your father. But uh, it's just he's not up 148 00:08:25,840 --> 00:08:28,680 Speaker 1: to the office like it just it doesn't seem like 149 00:08:28,760 --> 00:08:33,760 Speaker 1: he has the faculties to deal with this job. I'm 150 00:08:33,760 --> 00:08:37,920 Speaker 1: gonna agree. Yeah, I think he's not a great president. 151 00:08:38,800 --> 00:08:42,520 Speaker 1: Your thoughts. I don't know if anyone's noticed, but it's 152 00:08:42,960 --> 00:08:46,120 Speaker 1: it's interesting because this is a thing that we tend 153 00:08:46,200 --> 00:08:50,040 Speaker 1: to see happen where he'll do something that is, you know, 154 00:08:50,120 --> 00:08:54,520 Speaker 1: from a PR perspective, just completely outrageous, and it overshadows 155 00:08:54,559 --> 00:08:58,679 Speaker 1: something that was a story that should all we should 156 00:08:58,720 --> 00:09:02,880 Speaker 1: also be outraged about, but sort of getting overshadowed by 157 00:09:02,920 --> 00:09:06,840 Speaker 1: the domestic violent stuff, and that is the democratic memo. Well. Also, 158 00:09:06,880 --> 00:09:09,120 Speaker 1: not to forget that one of his speechwriters also had 159 00:09:09,160 --> 00:09:11,880 Speaker 1: to resign this weekend before that became a story, So 160 00:09:11,920 --> 00:09:15,720 Speaker 1: there was a second member of his Uh. I guess 161 00:09:15,840 --> 00:09:18,160 Speaker 1: I don't know if speech writers are considered cabinet members, 162 00:09:18,200 --> 00:09:21,200 Speaker 1: but somebody worked in the Trump White House staffer who 163 00:09:21,400 --> 00:09:26,400 Speaker 1: had to resign because the Washington Post found out about 164 00:09:26,679 --> 00:09:30,839 Speaker 1: allegations from his ex wife that he drove over her 165 00:09:30,880 --> 00:09:33,439 Speaker 1: foot with his car and put a cigarette out on 166 00:09:33,480 --> 00:09:36,719 Speaker 1: her hand. Uh and yeah, and the whole thing was 167 00:09:36,800 --> 00:09:38,800 Speaker 1: like they called him for a comment and then he 168 00:09:38,840 --> 00:09:43,440 Speaker 1: said no and then resigned immediately. So yeah, they have 169 00:09:43,520 --> 00:09:45,640 Speaker 1: a lot going on. But yeah, I guess that does 170 00:09:45,720 --> 00:09:49,000 Speaker 1: overshadow the fact that the Democratic Memo which people were 171 00:09:49,000 --> 00:09:52,000 Speaker 1: trying to release, that gets completely consumed by all of 172 00:09:52,040 --> 00:09:54,880 Speaker 1: the you know, deserved outrage over how the White House 173 00:09:54,920 --> 00:09:58,200 Speaker 1: handled the resignations and stuff. So just real quick, the 174 00:09:58,240 --> 00:10:04,079 Speaker 1: Democratic memo, So noon as released the Republican memo where 175 00:10:04,320 --> 00:10:07,960 Speaker 1: it was you know, his conspiracy theory. We talked about 176 00:10:07,960 --> 00:10:10,320 Speaker 1: it last week, but just a refresher sort of like 177 00:10:10,400 --> 00:10:14,240 Speaker 1: his conspiracy theory based on a handful of very carefully 178 00:10:14,240 --> 00:10:18,480 Speaker 1: selected facts from the Russian investigation that made it seem like, uh, 179 00:10:18,520 --> 00:10:21,680 Speaker 1: you know that b I was out to get Trump. Um, 180 00:10:21,800 --> 00:10:24,719 Speaker 1: and the Democrats were like, okay, so if you're going 181 00:10:24,760 --> 00:10:27,559 Speaker 1: to release that, then here's the other side of just 182 00:10:27,800 --> 00:10:31,320 Speaker 1: that story, so that we have complete information out there. Yeah, 183 00:10:31,360 --> 00:10:33,800 Speaker 1: because before with the with the new nez Momo, the 184 00:10:33,880 --> 00:10:36,640 Speaker 1: d o j D and I their Director of National Tellegence, 185 00:10:36,720 --> 00:10:39,120 Speaker 1: like do not do this. This is very damaging, and 186 00:10:39,160 --> 00:10:42,200 Speaker 1: he's like, fuck it, we're doing it right now. That 187 00:10:42,240 --> 00:10:44,080 Speaker 1: the shoes on the other foot, the D O J 188 00:10:44,200 --> 00:10:45,719 Speaker 1: and D and I are also again with this one, 189 00:10:45,720 --> 00:10:47,719 Speaker 1: being like this also has a lot of sense of information, 190 00:10:48,000 --> 00:10:49,640 Speaker 1: and they're like, oh, well, we don't want to funk 191 00:10:49,679 --> 00:10:52,160 Speaker 1: anything up, so we we should really reconsider. This is 192 00:10:52,200 --> 00:10:55,400 Speaker 1: a very sensitive document. It's just like the selective outrages. 193 00:10:55,720 --> 00:10:58,560 Speaker 1: I guess isn't surprising, It's to be expected. So basically 194 00:10:58,600 --> 00:11:01,240 Speaker 1: now there's like four options. Someone can yolo it on 195 00:11:01,280 --> 00:11:03,320 Speaker 1: the floor and just read the ship out loud and 196 00:11:03,440 --> 00:11:06,520 Speaker 1: entered into record, which technically isn't illegal, um, but would 197 00:11:06,520 --> 00:11:09,000 Speaker 1: just be kind of weird. Uh. They could kill the 198 00:11:09,040 --> 00:11:11,120 Speaker 1: thing completely and just not do it, but I don't 199 00:11:11,160 --> 00:11:13,520 Speaker 1: think that will happen. Uh, the House could vote to 200 00:11:13,559 --> 00:11:18,400 Speaker 1: override the president. Paul Ryan will do that, and or 201 00:11:18,480 --> 00:11:21,000 Speaker 1: they can redact it and release the memo like they 202 00:11:21,040 --> 00:11:23,600 Speaker 1: did the Republican one. It seems like the last option 203 00:11:23,640 --> 00:11:26,360 Speaker 1: could be the one wait redacted like the Republican memo, 204 00:11:26,520 --> 00:11:29,320 Speaker 1: because redact ship from the Republican Mama to the No. Yeah, 205 00:11:29,320 --> 00:11:32,240 Speaker 1: they did sort of relent and then redact certain things 206 00:11:32,240 --> 00:11:35,480 Speaker 1: like that, certain details, certain details. Um, but with this one, 207 00:11:35,520 --> 00:11:37,559 Speaker 1: they're saying like, we can just do the same process, 208 00:11:37,960 --> 00:11:41,400 Speaker 1: but we'll see again because it doesn't benefit the Republicans 209 00:11:41,440 --> 00:11:44,120 Speaker 1: to have this out now. I know smart people on 210 00:11:44,200 --> 00:11:47,040 Speaker 1: the left and the right who think the Russia investigation 211 00:11:47,200 --> 00:11:50,040 Speaker 1: is like overblown, and they're like, you know, this is 212 00:11:50,120 --> 00:11:54,040 Speaker 1: just a thing that Democrats are doing to distract themselves 213 00:11:54,080 --> 00:11:56,480 Speaker 1: because they can't accept that Trump one. I know people 214 00:11:56,520 --> 00:11:59,680 Speaker 1: from both sides who say that, and like, I'm having 215 00:11:59,679 --> 00:12:03,360 Speaker 1: a harder and harder time believing that with the way 216 00:12:03,400 --> 00:12:06,720 Speaker 1: he behaves like, it just seems unless you're just going 217 00:12:06,760 --> 00:12:11,520 Speaker 1: to say he's like just accidentally behaving like an incredibly 218 00:12:11,520 --> 00:12:16,360 Speaker 1: guilty person, I'm just confused why he would be likely 219 00:12:16,440 --> 00:12:18,720 Speaker 1: with this guy. Which is the crazy fucking thing about 220 00:12:18,760 --> 00:12:20,720 Speaker 1: all of this. Yeah that's true. I mean, who cares 221 00:12:20,800 --> 00:12:26,679 Speaker 1: if it's overblown, you might as well check. Yeah, exactly when, 222 00:12:26,800 --> 00:12:28,880 Speaker 1: especially when a lot of people are like warning, like, hey, 223 00:12:28,920 --> 00:12:31,880 Speaker 1: there's something going on from other countries, be smart to 224 00:12:31,880 --> 00:12:34,320 Speaker 1: figure out what it is, yea, And that only helps 225 00:12:34,400 --> 00:12:36,120 Speaker 1: him if they go up and they're like all right, actually, 226 00:12:36,200 --> 00:12:38,959 Speaker 1: just turns out you're crazy and you don't like to 227 00:12:39,000 --> 00:12:40,960 Speaker 1: look guilty about anything, so you just lie all the time. 228 00:12:41,960 --> 00:12:44,920 Speaker 1: But I guess, you know, well, they're out together. We 229 00:12:44,960 --> 00:12:49,560 Speaker 1: will see. And we wanted to talk about just ways 230 00:12:49,760 --> 00:12:55,280 Speaker 1: that the government is finding too uh funk the little guy. 231 00:12:55,720 --> 00:12:59,760 Speaker 1: And there's a handful of stories coming together neatly for 232 00:13:00,000 --> 00:13:02,080 Speaker 1: our theme. We're always hoping that we'll get a nice 233 00:13:02,120 --> 00:13:06,600 Speaker 1: cohesive theme. Uh. And the government cooperated by just fucking 234 00:13:06,600 --> 00:13:09,960 Speaker 1: over consumers start up the outraged machine. Yeah, thank you, 235 00:13:10,160 --> 00:13:13,360 Speaker 1: thank you Trump administration. Uh So, Miles, I came in 236 00:13:13,360 --> 00:13:15,360 Speaker 1: this morning. I said, did you hear about the change 237 00:13:15,400 --> 00:13:18,400 Speaker 1: to snap And I was like, Yo, people are heated. 238 00:13:18,679 --> 00:13:21,800 Speaker 1: Uh the layout of the new Snapchat is pretty whack 239 00:13:21,880 --> 00:13:24,400 Speaker 1: and people are really fucked up over it. And I said, 240 00:13:24,400 --> 00:13:26,960 Speaker 1: I don't really focus Snapchat, but I guess I guess 241 00:13:27,000 --> 00:13:30,840 Speaker 1: the kids are upset, which is apparently a thing that 242 00:13:30,960 --> 00:13:34,600 Speaker 1: is happening. H Anna yesterday was you know, super producer 243 00:13:34,640 --> 00:13:38,480 Speaker 1: Anna hosny A being one of the kids herself, was 244 00:13:38,840 --> 00:13:42,480 Speaker 1: like mad about it and UH said it wasn't lit, 245 00:13:42,640 --> 00:13:47,319 Speaker 1: which is the worst thing somebody of that generation can say. Um, 246 00:13:47,760 --> 00:13:52,559 Speaker 1: but that is a proper nomencla. So uh, snap being 247 00:13:52,679 --> 00:13:56,160 Speaker 1: also the food stamp program. Oh you meant supplemental nutrition 248 00:13:56,200 --> 00:14:00,599 Speaker 1: assistance program, right, okay, so uh yeah, that's sucked up to. 249 00:14:01,760 --> 00:14:07,160 Speaker 1: So the Trump administration announced that they would like to 250 00:14:07,320 --> 00:14:11,600 Speaker 1: change the food stamp allowances, which nobody has had a 251 00:14:11,679 --> 00:14:14,880 Speaker 1: complaint with other than you know, extreme extreme right wing 252 00:14:14,920 --> 00:14:17,640 Speaker 1: people who still believe that welfare queens are a thing, 253 00:14:17,800 --> 00:14:20,680 Speaker 1: which they're not. That was just a false story during 254 00:14:20,720 --> 00:14:25,560 Speaker 1: the Reagan administration. So they think that people are getting 255 00:14:26,040 --> 00:14:30,040 Speaker 1: by too easily on food stamps, and what they're proposing 256 00:14:30,720 --> 00:14:34,800 Speaker 1: is to basically replace food stamps, or at least a 257 00:14:34,840 --> 00:14:37,880 Speaker 1: big portion of food stamps, with a program where they 258 00:14:37,920 --> 00:14:43,000 Speaker 1: ship canned food to people who would previously be able 259 00:14:43,040 --> 00:14:45,520 Speaker 1: to go to the store and use food stamps to 260 00:14:45,840 --> 00:14:49,200 Speaker 1: buy food for themselves. As Muny says, a blue apron type. 261 00:14:49,760 --> 00:14:53,000 Speaker 1: That's okay, How in one way is that blue apron 262 00:14:53,120 --> 00:14:56,640 Speaker 1: that food is being shipped to that so any and 263 00:14:56,640 --> 00:15:03,040 Speaker 1: there's no box an fresh, it's it's a predetermined diet 264 00:15:03,600 --> 00:15:05,960 Speaker 1: that the government will send to you with things like 265 00:15:06,360 --> 00:15:11,480 Speaker 1: peanut butter and pasta, shelf stable milk, oh yum, canned 266 00:15:11,520 --> 00:15:15,680 Speaker 1: meats and fruits and cereal. Yeah, no fresh vegetables or meat, 267 00:15:16,040 --> 00:15:18,680 Speaker 1: which that's usually what's in it regular Blue Apron. I'm 268 00:15:18,680 --> 00:15:20,800 Speaker 1: sure they'd be super receptive to people who have like 269 00:15:20,880 --> 00:15:24,240 Speaker 1: peanut allergies or whatever. I'm sure the government would be 270 00:15:24,240 --> 00:15:28,240 Speaker 1: great at I don't what's even the proposed upside is 271 00:15:28,280 --> 00:15:31,600 Speaker 1: that cheaper than the program. So what they're saying is 272 00:15:31,640 --> 00:15:35,560 Speaker 1: that that would allow them to buy food at like 273 00:15:35,840 --> 00:15:38,240 Speaker 1: in mass quantities, and that that would like give them 274 00:15:38,240 --> 00:15:41,720 Speaker 1: a price break, like at half the cost exactly. But 275 00:15:42,160 --> 00:15:46,040 Speaker 1: they're not counting all of the difficulties of like shipping. 276 00:15:46,080 --> 00:15:49,160 Speaker 1: Like people pointed out that Blue Apron had a really 277 00:15:49,240 --> 00:15:53,760 Speaker 1: rough financial year last year because it's just incredibly expensive 278 00:15:54,160 --> 00:15:58,240 Speaker 1: to do what they do, like send food to people 279 00:15:58,400 --> 00:16:01,800 Speaker 1: and you know, give people any choice or like a 280 00:16:01,840 --> 00:16:05,720 Speaker 1: good user experience and deliver that food on time. Um. 281 00:16:05,760 --> 00:16:10,080 Speaker 1: So this goes against all research in uh sort of 282 00:16:10,240 --> 00:16:13,240 Speaker 1: charity and how we give charity to other countries, how 283 00:16:13,240 --> 00:16:16,280 Speaker 1: we give charity inside our own country has been leading 284 00:16:16,360 --> 00:16:18,920 Speaker 1: in the opposite direction of this. It's basically been saying 285 00:16:19,360 --> 00:16:22,880 Speaker 1: we would much prefer that you give people money or 286 00:16:22,960 --> 00:16:25,640 Speaker 1: give the charity money so that we can redistribute that 287 00:16:25,680 --> 00:16:29,160 Speaker 1: money to people. Because the best form of charity, and 288 00:16:29,200 --> 00:16:32,360 Speaker 1: the most effective way to help people is by giving 289 00:16:32,400 --> 00:16:36,040 Speaker 1: them money because they know what they need, like whereas 290 00:16:36,240 --> 00:16:39,640 Speaker 1: canned food drives like people might not need canned food, 291 00:16:39,720 --> 00:16:42,000 Speaker 1: or they might not need like beef stew. Beef stew 292 00:16:42,120 --> 00:16:44,320 Speaker 1: might not be good for them. They have an infant. 293 00:16:44,560 --> 00:16:48,200 Speaker 1: I don't need peaches in light syrup because I have glaucoma. 294 00:16:48,520 --> 00:16:52,360 Speaker 1: I think it's important to highlight this is not the 295 00:16:52,600 --> 00:16:55,200 Speaker 1: people who are members of the program saying like, we 296 00:16:55,280 --> 00:16:57,840 Speaker 1: need money instead of food, I'll just send us cash. 297 00:16:58,440 --> 00:17:01,400 Speaker 1: These are people whose interest STI is what would make 298 00:17:01,400 --> 00:17:05,080 Speaker 1: the best outcome for all of society, including economically. These 299 00:17:05,119 --> 00:17:08,320 Speaker 1: are studies. So it's like, how do you not foresee 300 00:17:08,320 --> 00:17:11,320 Speaker 1: the downstream costs if you're shipping all of your poorest 301 00:17:11,320 --> 00:17:14,880 Speaker 1: citizens boxes and boxes of peanut butter and cling peaches. 302 00:17:15,119 --> 00:17:17,920 Speaker 1: There's huge downstream costs there, you know, with the deserts 303 00:17:17,920 --> 00:17:21,960 Speaker 1: and healthcare costs. That's insane. And even with the proposed idea, 304 00:17:22,359 --> 00:17:25,000 Speaker 1: they expect the states to shoulder all the cost of 305 00:17:25,040 --> 00:17:26,960 Speaker 1: distributing and putting the thing together. So it's like it's 306 00:17:27,000 --> 00:17:29,360 Speaker 1: just this fucking idea. It's not even a real thing. 307 00:17:29,440 --> 00:17:31,760 Speaker 1: It's just like, let's just see what people think, so 308 00:17:31,800 --> 00:17:34,840 Speaker 1: we can you know, further help people who are poor 309 00:17:35,000 --> 00:17:38,520 Speaker 1: feel ashamed of their situation. Right, And the disparity is 310 00:17:38,600 --> 00:17:42,960 Speaker 1: so bizarrely heightened in our country that it's like, Whyatt 311 00:17:42,960 --> 00:17:45,679 Speaker 1: Coke could probably just pay for this program out of 312 00:17:45,680 --> 00:17:49,880 Speaker 1: his pockets. For some reason, this program made me think 313 00:17:49,880 --> 00:17:54,040 Speaker 1: of whyitet Coke too, Because the central ethos of this 314 00:17:54,359 --> 00:17:59,080 Speaker 1: is rich white Republicans who think they know what's best 315 00:17:59,200 --> 00:18:02,720 Speaker 1: for other bowl and that the problem poor people have 316 00:18:03,080 --> 00:18:06,680 Speaker 1: is that they have too much control over their own 317 00:18:06,720 --> 00:18:09,600 Speaker 1: decision making and that they just aren't like smart enough 318 00:18:09,760 --> 00:18:13,840 Speaker 1: or capable enough to make smart decisions for themselves, and 319 00:18:13,880 --> 00:18:17,120 Speaker 1: so that the real problem is that you know, they 320 00:18:17,240 --> 00:18:21,560 Speaker 1: need to make those decisions for them uh, Whereas it's just, 321 00:18:21,880 --> 00:18:25,000 Speaker 1: you know, every study will tell you the real problem 322 00:18:25,000 --> 00:18:28,360 Speaker 1: is that they have been you know, institutionally discriminated against 323 00:18:28,359 --> 00:18:30,840 Speaker 1: both you know, poor white people poor black people have 324 00:18:30,920 --> 00:18:35,000 Speaker 1: been institutionally discriminated against. Uh. And America is not a 325 00:18:35,040 --> 00:18:40,040 Speaker 1: particularly socially mobile society, like Americans think that it's all 326 00:18:40,080 --> 00:18:42,239 Speaker 1: based on, you know, how hard you work and how 327 00:18:42,320 --> 00:18:44,080 Speaker 1: much you're willing to pull yourself up. But says it 328 00:18:44,160 --> 00:18:52,359 Speaker 1: is on the box, the box of America. Right there 329 00:18:52,880 --> 00:18:56,040 Speaker 1: there is a Paul Ryan quote from earlier in the 330 00:18:56,119 --> 00:18:59,560 Speaker 1: year where he was saying, like where you are born 331 00:19:00,080 --> 00:19:02,600 Speaker 1: has nothing to do with where you end up in America. 332 00:19:03,600 --> 00:19:07,159 Speaker 1: So the economist came back and was like, you know, 333 00:19:07,240 --> 00:19:11,720 Speaker 1: compared to America, to other countries like Finland, Norway, Denmark, 334 00:19:11,760 --> 00:19:18,280 Speaker 1: other Western countries, countries relatively egalitarian. Uh And basically what 335 00:19:18,359 --> 00:19:22,959 Speaker 1: your father makes allows people to tell within twenty percent 336 00:19:23,280 --> 00:19:26,439 Speaker 1: what you'll end up making in those countries, whereas in 337 00:19:26,440 --> 00:19:31,320 Speaker 1: America it's fifty. So it's like way more deterministic in 338 00:19:31,359 --> 00:19:35,560 Speaker 1: the United States, um than in other Western countries that 339 00:19:35,640 --> 00:19:39,000 Speaker 1: have more like socialist policies what we would consider to 340 00:19:39,000 --> 00:19:41,879 Speaker 1: be socialist. Part now it's conflicted with capitalism because you know, 341 00:19:41,960 --> 00:19:45,320 Speaker 1: the huge opponents of this shitty blue apron for poores 342 00:19:45,440 --> 00:19:49,639 Speaker 1: program is the Food Marketing Institute, which is the largest 343 00:19:49,640 --> 00:19:54,280 Speaker 1: like the lobbying group for supermarkets trying to unload their 344 00:19:54,320 --> 00:19:56,160 Speaker 1: cans like you are when you go to the Camp 345 00:19:56,200 --> 00:19:58,320 Speaker 1: food drive and give all the bullshit. They're like, you're 346 00:19:58,359 --> 00:20:01,040 Speaker 1: gonna send people boxes they will not buy at the stores, 347 00:20:01,280 --> 00:20:02,879 Speaker 1: So what the are you gonna do. So this is 348 00:20:02,920 --> 00:20:06,760 Speaker 1: a place where Walmart is actually on the people's side, right, 349 00:20:07,240 --> 00:20:10,000 Speaker 1: like we like EBT because that means we get the money. Right. 350 00:20:10,320 --> 00:20:12,040 Speaker 1: So it's utterly just a fight of who's gonna get 351 00:20:12,080 --> 00:20:13,919 Speaker 1: the money. Is it the canned food people or the 352 00:20:14,000 --> 00:20:17,240 Speaker 1: food retail It's a big box you guys, and box 353 00:20:17,359 --> 00:20:21,280 Speaker 1: factories all over the country just trying to get everything boxed. Dude. 354 00:20:21,320 --> 00:20:24,400 Speaker 1: I bet box businesses booming. Yeah, there's yeah, you see 355 00:20:24,400 --> 00:20:27,840 Speaker 1: boxes on the rise lately. All right, let's talk about 356 00:20:27,880 --> 00:20:32,760 Speaker 1: another policy that the trumple administration released yesterday. So the 357 00:20:32,800 --> 00:20:38,600 Speaker 1: Consumer Financial Protection Bureau UH has spent the past you know, 358 00:20:38,680 --> 00:20:41,600 Speaker 1: it was created by Elizabeth Warren back when she was 359 00:20:41,640 --> 00:20:45,560 Speaker 1: still a professor at Harvard. You mean socialist cook, right, 360 00:20:45,960 --> 00:20:50,000 Speaker 1: let's cock Elizabeth Warren. And it was basically after the 361 00:20:50,040 --> 00:20:54,640 Speaker 1: financial crisis. You know, they saw all of this rampant 362 00:20:54,640 --> 00:20:58,880 Speaker 1: corruption within the financial industry and they decided to create 363 00:20:59,040 --> 00:21:04,240 Speaker 1: an independent agency that was able to look at financial 364 00:21:04,560 --> 00:21:10,320 Speaker 1: services and you know, fine companies if they did shady ship. 365 00:21:10,840 --> 00:21:14,040 Speaker 1: And so far since they were instituted in two thousand 366 00:21:14,080 --> 00:21:16,680 Speaker 1: and ten, they've given back eleven point eight billion dollars 367 00:21:17,040 --> 00:21:20,280 Speaker 1: to twenty nine million consumers since two thousand eleven, So 368 00:21:20,320 --> 00:21:22,800 Speaker 1: that's an average of four d and seven dollars returned 369 00:21:22,800 --> 00:21:26,760 Speaker 1: to roughly nine percent of the US population. So they're 370 00:21:26,800 --> 00:21:31,200 Speaker 1: like helping people out, like that's giving their hurting the banks. 371 00:21:31,720 --> 00:21:38,720 Speaker 1: So that's that is fargo Jack. The very extremely wealthy 372 00:21:39,080 --> 00:21:42,919 Speaker 1: UH financial companies that are like making record profits in 373 00:21:42,960 --> 00:21:47,040 Speaker 1: the past ten years have claimed that this agency is 374 00:21:47,400 --> 00:21:50,399 Speaker 1: making it impossible for them to do business. And so 375 00:21:51,280 --> 00:21:54,600 Speaker 1: when Trump came into power, he put mc mulvaney UH 376 00:21:54,680 --> 00:22:00,840 Speaker 1: in charge of the h CFPB, and he fucking hates 377 00:22:00,960 --> 00:22:04,280 Speaker 1: the CFPB. Has come out and specifically said in the 378 00:22:04,320 --> 00:22:08,720 Speaker 1: past that like he thinks it shouldn't exist, and so 379 00:22:09,200 --> 00:22:11,320 Speaker 1: he and now that's all Trump does. Though It's like 380 00:22:11,600 --> 00:22:14,359 Speaker 1: I expected its secretary Interior to just be someone who's 381 00:22:14,400 --> 00:22:17,040 Speaker 1: like I only go outside, I never enter a building. 382 00:22:17,640 --> 00:22:22,720 Speaker 1: Like everything. It's just bizarro opposite world as if you're 383 00:22:22,760 --> 00:22:26,040 Speaker 1: a kid with blocks and holes and you're matching them 384 00:22:26,040 --> 00:22:30,639 Speaker 1: for the opposite shape. It's just so insane. Yeah. The 385 00:22:30,640 --> 00:22:34,160 Speaker 1: new head of CFPB a Daddy Warbucks, right Yeah. Uh 386 00:22:34,320 --> 00:22:40,320 Speaker 1: so their policies surprisingly uh. He recently requested a zero 387 00:22:40,440 --> 00:22:44,200 Speaker 1: dollar budget for the January to March one saying the 388 00:22:44,240 --> 00:22:48,520 Speaker 1: Bureau would draw on their reserves instead because they're apparently 389 00:22:48,560 --> 00:22:53,280 Speaker 1: just crushing it financially. And then, uh, they are trying 390 00:22:53,280 --> 00:22:56,560 Speaker 1: to change it so that they are overseen by Congress. 391 00:22:56,760 --> 00:22:59,920 Speaker 1: The whole idea is that they're overseen by the Federal 392 00:23:00,000 --> 00:23:04,280 Speaker 1: Reserve and so they have independent funding, so like Republican 393 00:23:04,359 --> 00:23:08,160 Speaker 1: Democratic squabbling cannot get in the way of them doing 394 00:23:08,200 --> 00:23:11,360 Speaker 1: their job, and they're basically trying to change that so 395 00:23:11,400 --> 00:23:16,080 Speaker 1: that they are funded by Congress. Yeah. Yeah, yeah, so 396 00:23:16,119 --> 00:23:20,439 Speaker 1: it'll effectively be the death of this agency was in 397 00:23:20,520 --> 00:23:24,119 Speaker 1: place for a very brief time and actually giving money 398 00:23:24,119 --> 00:23:26,600 Speaker 1: back to consumers. That could be sippery slope because if 399 00:23:26,600 --> 00:23:29,040 Speaker 1: they lose the house, uh, you know, she could change, 400 00:23:29,040 --> 00:23:33,520 Speaker 1: but we'll see. Yeah. It's weird how many organizations that 401 00:23:33,800 --> 00:23:39,760 Speaker 1: get insanely profitable use those profits to craft allowed narrative 402 00:23:39,960 --> 00:23:42,600 Speaker 1: that they're poor, like that they can't catch or break 403 00:23:42,680 --> 00:23:45,280 Speaker 1: or make any money. And it's like, yeah, but you're 404 00:23:45,400 --> 00:23:49,040 Speaker 1: crafting that narrative with a team of highly paid lobbyists. 405 00:23:49,200 --> 00:23:52,800 Speaker 1: It's a self defeating argument. It's a difficult argument because 406 00:23:52,920 --> 00:23:56,880 Speaker 1: you know, people in the financial industry will just tell 407 00:23:56,960 --> 00:23:59,439 Speaker 1: you know, but you have to understand, like this bureau 408 00:23:59,560 --> 00:24:01,600 Speaker 1: is like the worst, and you know, I know a 409 00:24:01,600 --> 00:24:04,400 Speaker 1: lot of these people and they argue it with conviction, 410 00:24:04,680 --> 00:24:07,919 Speaker 1: and like I can't argue with them because it's like 411 00:24:07,960 --> 00:24:11,119 Speaker 1: they're saying, you don't speak Chinese. This person saying a 412 00:24:11,200 --> 00:24:13,560 Speaker 1: crazy thing in Chinese. So you just have to trust me, 413 00:24:13,600 --> 00:24:16,560 Speaker 1: and like I I don't. I'm like, okay, fine, yeah, dude, 414 00:24:16,560 --> 00:24:18,440 Speaker 1: that banks are hurting. Man. You know, I was trying 415 00:24:18,440 --> 00:24:19,919 Speaker 1: to explain to my kids. Man, they gotta get an 416 00:24:19,920 --> 00:24:25,240 Speaker 1: iPhone six. I mean success, but you know you kids 417 00:24:25,280 --> 00:24:30,160 Speaker 1: that it's true. Uh, the iPhone six sucks. My kid 418 00:24:30,200 --> 00:24:34,399 Speaker 1: has to drive a used range rover. Okay, it is embarrassing. 419 00:24:34,640 --> 00:24:37,160 Speaker 1: All right, We're gonna take a quick break and we'll 420 00:24:37,200 --> 00:24:48,640 Speaker 1: be right back. And we're back. We wanted to cover 421 00:24:48,840 --> 00:24:51,720 Speaker 1: some of the coverage, some of the reaction to the 422 00:24:51,880 --> 00:24:55,720 Speaker 1: shooting because it's I don't know, it's kind of becomes 423 00:24:55,800 --> 00:24:59,320 Speaker 1: surreal almost like at this point the way that the 424 00:24:59,359 --> 00:25:03,159 Speaker 1: media respond and um the same ways. I don't know, 425 00:25:03,200 --> 00:25:05,560 Speaker 1: it seems kind of clear to me, like what the 426 00:25:05,600 --> 00:25:10,360 Speaker 1: problem is. But they managed to, you know, write eighties 427 00:25:10,400 --> 00:25:13,720 Speaker 1: stories about a mass shooting Yeah, it's weird because we 428 00:25:13,760 --> 00:25:16,359 Speaker 1: see it so much, like we're even predicting the coverage now. 429 00:25:16,440 --> 00:25:20,560 Speaker 1: It's like, Okay, on Fox, they're gonna say, oh wow, 430 00:25:20,560 --> 00:25:23,639 Speaker 1: we're talking about gun control suddenly, and then on like 431 00:25:23,880 --> 00:25:27,360 Speaker 1: MSNBC or CNN, it's going to be about maybe gun 432 00:25:27,400 --> 00:25:30,600 Speaker 1: control or but also like really personal stories about the 433 00:25:30,720 --> 00:25:33,280 Speaker 1: victims and and people who survived and things like that. 434 00:25:33,359 --> 00:25:36,199 Speaker 1: And like, I don't know even since we've started doing 435 00:25:36,280 --> 00:25:38,240 Speaker 1: the show how many shootings there have been. Some we 436 00:25:38,520 --> 00:25:41,520 Speaker 1: haven't even reported, because to an extent, we've kind of 437 00:25:41,560 --> 00:25:45,480 Speaker 1: normalized these things as the country which is really fucked up. 438 00:25:46,040 --> 00:25:48,159 Speaker 1: And then now I just feel like the coverage and 439 00:25:48,280 --> 00:25:50,679 Speaker 1: our attitudes, like are they going to shift now? Like 440 00:25:50,760 --> 00:25:53,240 Speaker 1: can we then sort of make this more about how 441 00:25:53,240 --> 00:25:55,879 Speaker 1: we are going to solve this problem? Then sort of 442 00:25:55,920 --> 00:25:59,520 Speaker 1: like begin finger pointing, because that happened immediately, it's just 443 00:25:59,600 --> 00:26:02,159 Speaker 1: finger pointing rather than how do we move forward? How 444 00:26:02,160 --> 00:26:04,760 Speaker 1: do we make sure this doesn't happen again? Yeah. One 445 00:26:04,760 --> 00:26:07,880 Speaker 1: thing specifically about the coverage that I think it's interesting 446 00:26:07,960 --> 00:26:13,400 Speaker 1: is they're these experts who like on social contagion and violence. 447 00:26:13,440 --> 00:26:17,040 Speaker 1: They're like forensic experts who study like the aftermaths of 448 00:26:17,080 --> 00:26:21,600 Speaker 1: these sorts of shootings, and they're desperately begging every time 449 00:26:21,640 --> 00:26:24,200 Speaker 1: there's a mass shooting, they're begging and like putting out 450 00:26:24,240 --> 00:26:27,119 Speaker 1: these petitions that are signed by thousands of experts to 451 00:26:27,600 --> 00:26:31,400 Speaker 1: not show the shooters picture and not say their name. 452 00:26:31,440 --> 00:26:34,000 Speaker 1: You can say everything, all the biographical details, you can 453 00:26:34,040 --> 00:26:36,720 Speaker 1: give all the details, but just don't make right. Don't 454 00:26:36,720 --> 00:26:39,000 Speaker 1: make them into anti heroes. Don't make them into anti 455 00:26:39,040 --> 00:26:42,639 Speaker 1: heroes exactly. Yeah. The problem with the coverages that the 456 00:26:42,680 --> 00:26:46,000 Speaker 1: coverage is monetized, and so the American culture doesn't have 457 00:26:46,040 --> 00:26:49,680 Speaker 1: the self control to not want to know those details. 458 00:26:49,720 --> 00:26:52,240 Speaker 1: There's just something fucked up where it's like you kind 459 00:26:52,240 --> 00:26:54,280 Speaker 1: of want to know what he looks like, even if 460 00:26:54,320 --> 00:26:58,359 Speaker 1: you know that's wrong, and news organizations know that, and 461 00:26:58,400 --> 00:27:02,200 Speaker 1: so it's like who will be the bigger man here? 462 00:27:02,240 --> 00:27:05,119 Speaker 1: And it's like nobody is being game. There was a 463 00:27:05,160 --> 00:27:09,879 Speaker 1: sheriff in Oregon who basically was like, look, I don't 464 00:27:09,880 --> 00:27:12,440 Speaker 1: want to say the guy's name. I don't want to, 465 00:27:12,800 --> 00:27:14,960 Speaker 1: you know, show his picture. It was a school shooting 466 00:27:15,200 --> 00:27:18,960 Speaker 1: just similar to this one, and the Washington Post of 467 00:27:18,960 --> 00:27:21,919 Speaker 1: all people were like, no, like, we we need to 468 00:27:21,960 --> 00:27:24,800 Speaker 1: tell people what they want to know. This is censorship, 469 00:27:25,320 --> 00:27:28,680 Speaker 1: and these experts are pointing out like when there is 470 00:27:29,160 --> 00:27:33,159 Speaker 1: a streaker at a professional athletic he goes off, he 471 00:27:33,280 --> 00:27:37,160 Speaker 1: goes off, They turn away because otherwise, you know, they 472 00:27:37,200 --> 00:27:39,960 Speaker 1: don't want to encourage these people who are clearly like 473 00:27:40,400 --> 00:27:43,600 Speaker 1: doing a stupid thing just to get their face in 474 00:27:43,640 --> 00:27:47,560 Speaker 1: front of millions of people. They just you know, know 475 00:27:47,760 --> 00:27:50,520 Speaker 1: that that that showing them would encourage it. And granted, 476 00:27:50,560 --> 00:27:53,720 Speaker 1: like I've watched games where I'm like, damn, i want 477 00:27:53,760 --> 00:28:00,440 Speaker 1: to see the streaker, like, yeah, exactly, Like watching streakers 478 00:28:00,520 --> 00:28:02,879 Speaker 1: run around and evade security guards is one of the 479 00:28:02,880 --> 00:28:05,560 Speaker 1: most fun things you can see at a live sporting 480 00:28:05,640 --> 00:28:10,560 Speaker 1: It's good television. But they actually resist showing it because 481 00:28:10,640 --> 00:28:14,159 Speaker 1: it's the responsible thing to do, and it's like avoids 482 00:28:14,240 --> 00:28:19,119 Speaker 1: creating chasts, and the mainstream media at large just can't. 483 00:28:19,520 --> 00:28:22,080 Speaker 1: Like this is a huge event. This is like a 484 00:28:22,480 --> 00:28:28,600 Speaker 1: super Bowl for mass media. So that's one thing that 485 00:28:28,640 --> 00:28:31,800 Speaker 1: I think could help. But but the thing too is 486 00:28:31,840 --> 00:28:34,240 Speaker 1: like I mean there are now, you know, news organizations 487 00:28:34,240 --> 00:28:36,600 Speaker 1: that make money through subscription a little more on the internet, 488 00:28:36,600 --> 00:28:40,800 Speaker 1: but it's all click based money, and so there's just 489 00:28:40,880 --> 00:28:43,080 Speaker 1: a huge incentive to get the most clicks, and it's 490 00:28:43,120 --> 00:28:47,280 Speaker 1: just watering down journalism. It's not who has the best journalism, 491 00:28:47,320 --> 00:28:50,320 Speaker 1: it's like who gets the most attention. Who can package 492 00:28:50,360 --> 00:28:52,960 Speaker 1: this in a way that makes its the most clicks? Yeah? Right, 493 00:28:53,920 --> 00:28:55,920 Speaker 1: but so yeah, when you look around I mean Fox 494 00:28:56,200 --> 00:28:59,560 Speaker 1: Laura Ingram on her show, she after starting the show 495 00:28:59,560 --> 00:29:02,480 Speaker 1: talking about the shooting, took six minutes, a whole six 496 00:29:02,520 --> 00:29:05,680 Speaker 1: minutes out of her show to talk about how safe 497 00:29:05,760 --> 00:29:08,240 Speaker 1: the A R fifteen is, the weapon that was used. 498 00:29:08,520 --> 00:29:12,280 Speaker 1: It's crazy because Chris Murphy uh, immediately on the floor 499 00:29:12,360 --> 00:29:13,760 Speaker 1: is like, we need to do something, like when are 500 00:29:13,800 --> 00:29:16,240 Speaker 1: we gonna do something about you know, gun control reform, 501 00:29:16,320 --> 00:29:18,120 Speaker 1: and then she goes, I don't know. I mean, look 502 00:29:18,160 --> 00:29:20,320 Speaker 1: the A R fifteen. Let's just play so we can hear. 503 00:29:20,400 --> 00:29:22,560 Speaker 1: This is what's happening on Fox News in the aftermath 504 00:29:22,600 --> 00:29:24,719 Speaker 1: of this shooting. Let's look at the AIR fifteen. What 505 00:29:24,840 --> 00:29:28,240 Speaker 1: makes it so popular and overwhelmingly, what makes it so safe. 506 00:29:28,600 --> 00:29:30,480 Speaker 1: It's all over the country because it's a really good 507 00:29:30,520 --> 00:29:32,800 Speaker 1: self defense weapon. I would have one in my home 508 00:29:32,840 --> 00:29:36,200 Speaker 1: for home defense. I thousands of people have them in 509 00:29:36,240 --> 00:29:38,840 Speaker 1: their home because it shoots very straight. Uh, you can 510 00:29:38,920 --> 00:29:42,640 Speaker 1: carry more ammunition in it, and it's actually safer because 511 00:29:42,720 --> 00:29:45,200 Speaker 1: you're gonna have less like the less you're gonna have 512 00:29:45,200 --> 00:29:47,000 Speaker 1: a lower stiff to pardon me, I'm teaching a course 513 00:29:47,000 --> 00:29:48,600 Speaker 1: in Hebrew and now some all over the place. You 514 00:29:48,640 --> 00:29:52,720 Speaker 1: have a less likelihood of of sporadic fire or hitting 515 00:29:52,720 --> 00:29:54,800 Speaker 1: innocent people if you're using it for home defense because 516 00:29:54,800 --> 00:29:58,360 Speaker 1: it shoots really straight. So it's actually a very safe weapon. 517 00:29:58,640 --> 00:30:00,920 Speaker 1: It's easier to shoot than the pist tool. It's got 518 00:30:00,920 --> 00:30:03,520 Speaker 1: more points of contacts for stability. But in the in 519 00:30:03,560 --> 00:30:06,280 Speaker 1: the hands of the wrong person. And again, where was 520 00:30:06,320 --> 00:30:09,200 Speaker 1: the parents? Where? What was the homeline for this show? 521 00:30:10,320 --> 00:30:12,480 Speaker 1: There's so much more involved than the weapons by Chris 522 00:30:12,520 --> 00:30:15,680 Speaker 1: is so far out of Aaron will we There are 523 00:30:15,720 --> 00:30:18,240 Speaker 1: some things we've learned. His mother died last year. He 524 00:30:18,280 --> 00:30:22,640 Speaker 1: was adopted um his parents Linda Linda and Roger cruz Uh. 525 00:30:22,680 --> 00:30:27,240 Speaker 1: He's followed, apparently, according to Trace Gallagher, the Iraqi fighters 526 00:30:27,360 --> 00:30:30,680 Speaker 1: online and the Syrian Resistance. Now maybe he was just 527 00:30:30,720 --> 00:30:34,320 Speaker 1: following them, I guess, because it was curious. Why we 528 00:30:34,360 --> 00:30:38,600 Speaker 1: don't know more, But there's something, something, something going on there. 529 00:30:38,640 --> 00:30:40,800 Speaker 1: So we will learn more about something something, something going 530 00:30:40,840 --> 00:30:43,600 Speaker 1: on there. So they managed in one thing to avoid 531 00:30:43,600 --> 00:30:47,360 Speaker 1: time out gun control by saying, well, it's the parents fault. 532 00:30:48,200 --> 00:30:50,840 Speaker 1: It could also be ISIS fault, but not the gun 533 00:30:50,880 --> 00:30:53,400 Speaker 1: because it's the safest gun ever, because what I guess, 534 00:30:53,520 --> 00:30:56,320 Speaker 1: it shoots straight in the right hands. It's the safest 535 00:30:56,360 --> 00:30:59,200 Speaker 1: thing when it I mean, if all those kids had 536 00:30:59,240 --> 00:31:03,480 Speaker 1: had air fIF teens at school then, which is only 537 00:31:03,520 --> 00:31:05,800 Speaker 1: like three of them would have gotten shot at recess 538 00:31:05,880 --> 00:31:09,880 Speaker 1: that day. Uh. It's just frustrating because well also, first 539 00:31:09,920 --> 00:31:13,720 Speaker 1: of all, the right wing was very eager to uh 540 00:31:13,880 --> 00:31:19,960 Speaker 1: associate him with ISIS and yeah, and it turns out 541 00:31:20,000 --> 00:31:24,720 Speaker 1: he trained with white nationalist groups. Uh so he went 542 00:31:24,760 --> 00:31:27,840 Speaker 1: to one training. I mean, but the guy did confirm 543 00:31:27,920 --> 00:31:30,720 Speaker 1: from the Florida Republic, which is a white civil rights group, 544 00:31:31,640 --> 00:31:35,040 Speaker 1: that yes, when are people going to fight for our 545 00:31:35,120 --> 00:31:39,200 Speaker 1: civil rights? I say, um, but it's the guns, Like 546 00:31:39,280 --> 00:31:44,320 Speaker 1: there's unless you just don't believe in statistics, there's no 547 00:31:44,360 --> 00:31:47,440 Speaker 1: way to argue that it's not the guns. They plot 548 00:31:47,760 --> 00:31:51,200 Speaker 1: like number of mass shootings on a graph with number 549 00:31:51,400 --> 00:31:56,360 Speaker 1: of guns owned in the country, and it like exactly correlates, 550 00:31:56,440 --> 00:32:01,000 Speaker 1: Whereas if you look at things like mental health, which 551 00:32:01,040 --> 00:32:04,719 Speaker 1: is what the media likes to point to uh, mental 552 00:32:04,760 --> 00:32:09,880 Speaker 1: health spending, mental health problems. All mental health indicators are 553 00:32:10,000 --> 00:32:16,000 Speaker 1: equal in like countries like you know, Australia, the UK, Denmark, 554 00:32:16,160 --> 00:32:19,360 Speaker 1: like all these other countries, France, Uh, you know, all 555 00:32:19,360 --> 00:32:21,920 Speaker 1: these advanced countries are pretty similar to each other when 556 00:32:21,920 --> 00:32:24,760 Speaker 1: it comes to all the mental health indicators. The only 557 00:32:24,800 --> 00:32:27,800 Speaker 1: place that the U S stands out is gun ownership 558 00:32:28,080 --> 00:32:31,360 Speaker 1: and mass shootings. And the only other country that is 559 00:32:31,400 --> 00:32:35,959 Speaker 1: close to us with regards to gun ownership is also 560 00:32:36,440 --> 00:32:39,040 Speaker 1: like has a lot of mass shootings. So it is, 561 00:32:39,480 --> 00:32:41,920 Speaker 1: what do you guys think about because there's such fatigue 562 00:32:41,960 --> 00:32:45,280 Speaker 1: around It's like this happens every time, and then the 563 00:32:45,360 --> 00:32:49,160 Speaker 1: same statistics are stated every time, and it's like, I 564 00:32:49,240 --> 00:32:51,120 Speaker 1: don't know it's true. I mean like we're even getting 565 00:32:51,120 --> 00:32:53,440 Speaker 1: caught in the trap of the same trying to like 566 00:32:53,720 --> 00:32:57,240 Speaker 1: walk this logical path towards well with all these things. 567 00:32:57,320 --> 00:33:00,000 Speaker 1: Knowing all this, then yes we need to address guns, 568 00:33:00,280 --> 00:33:04,000 Speaker 1: but it really doesn't mean a fucking thing if the 569 00:33:04,160 --> 00:33:08,360 Speaker 1: legislators that are elected don't put forward bills and vote 570 00:33:08,440 --> 00:33:11,920 Speaker 1: on them to actually enact any kind of chance, because 571 00:33:11,920 --> 00:33:15,200 Speaker 1: we're I think the only answers that continue to go 572 00:33:15,640 --> 00:33:20,040 Speaker 1: over and over again because that's yeah, or just hold 573 00:33:20,120 --> 00:33:22,960 Speaker 1: these people accountable to who are making the laws though too, 574 00:33:23,000 --> 00:33:25,360 Speaker 1: like it's easy for them to, you know, hide under 575 00:33:25,600 --> 00:33:28,040 Speaker 1: the fray that's going on because we everyone's so outraged 576 00:33:28,040 --> 00:33:30,040 Speaker 1: and talks about all the whether it's gun control, whatever 577 00:33:30,080 --> 00:33:31,520 Speaker 1: it's like, But what about the people who actually have 578 00:33:31,560 --> 00:33:33,760 Speaker 1: the power to do something. Yeah, well, and the dark 579 00:33:33,880 --> 00:33:36,280 Speaker 1: morbid thing that will eventually happen and not I'm not 580 00:33:36,320 --> 00:33:39,440 Speaker 1: sy is that a legislator's kid will get shot in 581 00:33:39,480 --> 00:33:41,880 Speaker 1: a mass shooting and then suddenly they'll give a shit 582 00:33:41,920 --> 00:33:43,960 Speaker 1: about this. You know. Well, because when you even look 583 00:33:44,000 --> 00:33:46,920 Speaker 1: at like Florida for example, if you really want to 584 00:33:46,920 --> 00:33:48,920 Speaker 1: do something, then I think we have to think about 585 00:33:48,920 --> 00:33:52,160 Speaker 1: who we are electing into office because the Republicans in 586 00:33:52,760 --> 00:33:55,920 Speaker 1: the Judiciary Committee in the Florida House of Representatives, they 587 00:33:55,920 --> 00:33:59,400 Speaker 1: have like a stranglehold. Like the numbers are clearly laid 588 00:33:59,400 --> 00:34:03,920 Speaker 1: out that pro gun right Republicans dominate the state legislature, 589 00:34:04,280 --> 00:34:07,160 Speaker 1: and they are passing bills left like they just passed 590 00:34:07,200 --> 00:34:10,759 Speaker 1: one last week that's basically said that a person who 591 00:34:10,800 --> 00:34:14,000 Speaker 1: has like a concealed carry permit doesn't violate the law 592 00:34:14,080 --> 00:34:17,640 Speaker 1: if the firearm is quote temporarily and openly displayed. So 593 00:34:18,000 --> 00:34:20,000 Speaker 1: what they were trying to do is protect people who 594 00:34:20,000 --> 00:34:22,160 Speaker 1: had concealed carry laws, Like if someone saw it and 595 00:34:22,200 --> 00:34:24,200 Speaker 1: called the police on them, they would be written up 596 00:34:24,200 --> 00:34:26,240 Speaker 1: because like, you're not doing this right. So they built 597 00:34:26,239 --> 00:34:29,120 Speaker 1: a lot to protect people to sloppily carry a concealed weapon. 598 00:34:29,280 --> 00:34:31,560 Speaker 1: That is like just basically an n R A wish 599 00:34:31,600 --> 00:34:34,839 Speaker 1: list piece of legislation. And you look at how easy 600 00:34:34,880 --> 00:34:36,960 Speaker 1: it is to even procure a firearm in that state. 601 00:34:37,320 --> 00:34:38,960 Speaker 1: You have to be twenty one to buy a handgun, 602 00:34:39,239 --> 00:34:41,200 Speaker 1: but this kid wasn't, so the only thing they could 603 00:34:41,239 --> 00:34:43,919 Speaker 1: sell them was a fucking a R fifteen, Right, that's 604 00:34:43,960 --> 00:34:46,560 Speaker 1: what a gun store owner says. I believe the reason 605 00:34:46,840 --> 00:34:49,040 Speaker 1: he used an Air fifteen is because he is under 606 00:34:49,040 --> 00:34:51,680 Speaker 1: twenty one, and you cannot purchase a firearm other than 607 00:34:51,719 --> 00:34:56,120 Speaker 1: a long gun legally. So he went and it's like 608 00:34:56,239 --> 00:34:59,600 Speaker 1: a liquor store refusing to sell you beer but offering 609 00:34:59,680 --> 00:35:05,600 Speaker 1: you crystal meth instead, because he went and he couldn't 610 00:35:05,640 --> 00:35:09,239 Speaker 1: get a handgun, but he got an Air fifteen, which is, 611 00:35:09,800 --> 00:35:12,719 Speaker 1: you know, the gun that has been used in all 612 00:35:12,800 --> 00:35:16,160 Speaker 1: these mass shootings. And this was somebody who openly said 613 00:35:16,200 --> 00:35:20,799 Speaker 1: he wanted to be a professional mass shooter, which makes 614 00:35:20,840 --> 00:35:24,200 Speaker 1: it even crazy because it seemed preventable in so many ways, 615 00:35:24,600 --> 00:35:26,760 Speaker 1: because even the kids who were being interviewed were saying 616 00:35:27,239 --> 00:35:30,480 Speaker 1: when he got kicked out, people were joking about how, like, yo, 617 00:35:30,560 --> 00:35:33,200 Speaker 1: he might come back, or why she like joking like, oh, 618 00:35:33,200 --> 00:35:36,479 Speaker 1: he might shoot up the place, And the students even 619 00:35:36,520 --> 00:35:40,880 Speaker 1: sort of they sensed that, and and again this was something, 620 00:35:41,320 --> 00:35:43,480 Speaker 1: This is a thing that is preventable on many levels. 621 00:35:43,520 --> 00:35:45,320 Speaker 1: So if you want to take it the mental health route, 622 00:35:45,440 --> 00:35:47,239 Speaker 1: then let's do that. Let's have a real conversation about 623 00:35:47,239 --> 00:35:49,319 Speaker 1: mental illness in this country and bring it on the 624 00:35:49,320 --> 00:35:51,439 Speaker 1: open so it's not so stigmatized for people to even 625 00:35:51,480 --> 00:35:54,239 Speaker 1: think like, oh, I don't want to out myself as 626 00:35:54,280 --> 00:35:56,399 Speaker 1: someone who has a mental health issue because I don't 627 00:35:56,440 --> 00:35:59,239 Speaker 1: want to embarrass myself or shame myself. You know, one 628 00:35:59,239 --> 00:36:01,080 Speaker 1: of the initial trus budgets that he put out last 629 00:36:01,160 --> 00:36:04,560 Speaker 1: year slashed like mental health care, and that is the 630 00:36:04,600 --> 00:36:06,399 Speaker 1: thing we spend the most on in this country, even 631 00:36:06,440 --> 00:36:08,839 Speaker 1: before like cardiac health is. Mental health is by far 632 00:36:08,920 --> 00:36:12,480 Speaker 1: the largest piece of spending that healthcare providers mate. So 633 00:36:13,520 --> 00:36:15,799 Speaker 1: I don't know anything having to do with changing the 634 00:36:15,920 --> 00:36:20,080 Speaker 1: conversation of mental health just seems like fully, But I'm saying, 635 00:36:20,120 --> 00:36:21,759 Speaker 1: if you want to do that, do that as part 636 00:36:21,760 --> 00:36:24,040 Speaker 1: of the thing, but also really shore that up, like 637 00:36:24,080 --> 00:36:26,040 Speaker 1: because what happens is it's a mental health thing, and 638 00:36:26,080 --> 00:36:29,040 Speaker 1: they just say that to avoid doing anything, and like 639 00:36:29,080 --> 00:36:30,759 Speaker 1: it's treated like, well, let's store our hands up at 640 00:36:30,760 --> 00:36:32,719 Speaker 1: the end, it's a mental well look then come at 641 00:36:32,760 --> 00:36:34,719 Speaker 1: it from every angle, from a gun control aspect, from 642 00:36:34,719 --> 00:36:37,759 Speaker 1: a mental health aspect, if there really is that much 643 00:36:37,800 --> 00:36:39,919 Speaker 1: to be done, because yeah, you can tell, Like even 644 00:36:40,000 --> 00:36:42,640 Speaker 1: with on CNN, they interviewed a kid who went to 645 00:36:42,680 --> 00:36:45,000 Speaker 1: the high school who got out of the shooting, and 646 00:36:45,000 --> 00:36:46,239 Speaker 1: he said, Oh, what do you want to say? And 647 00:36:46,280 --> 00:36:48,360 Speaker 1: he was like, look, I'm just a kid. Like we 648 00:36:48,400 --> 00:36:50,640 Speaker 1: need the adults to like make laws that will actually 649 00:36:50,680 --> 00:36:53,600 Speaker 1: prevent this. And if that's even being seen from the 650 00:36:53,800 --> 00:36:57,240 Speaker 1: viewpoint of a kid, I don't know why we still 651 00:36:57,480 --> 00:36:59,640 Speaker 1: are allowing people to sort of like weasel their way 652 00:36:59,640 --> 00:37:03,800 Speaker 1: out of It's really embarrassing. Yeah, I feel embarrassed about 653 00:37:03,920 --> 00:37:07,600 Speaker 1: this issue because it's so obvious. It's difficult. What needs 654 00:37:07,600 --> 00:37:13,280 Speaker 1: to happen is like monumental change, like disarming America. That's intense. 655 00:37:13,320 --> 00:37:15,840 Speaker 1: There's like so many guns in America, it will be 656 00:37:15,960 --> 00:37:19,279 Speaker 1: that's impossible. It will be a decades long process, but 657 00:37:19,320 --> 00:37:21,759 Speaker 1: like you have to That's the issue too, is like 658 00:37:22,080 --> 00:37:24,880 Speaker 1: they're the legislators who begin this process won't be alive 659 00:37:24,920 --> 00:37:27,040 Speaker 1: by the time it's solved, so there's like not an 660 00:37:27,080 --> 00:37:29,719 Speaker 1: incentive to like take action. I think. Right, Yeah, I'm 661 00:37:29,719 --> 00:37:33,439 Speaker 1: reading this book Better Angels of Our Nature that I'm 662 00:37:33,600 --> 00:37:39,040 Speaker 1: required to raise once every episode, just this very book. Yeah, 663 00:37:39,080 --> 00:37:43,480 Speaker 1: but it's about the fact that, uh, you know, civilization 664 00:37:43,600 --> 00:37:47,480 Speaker 1: has brought down the rate of violent crime and murder 665 00:37:47,800 --> 00:37:51,560 Speaker 1: among the human race from like for every a hundred 666 00:37:51,560 --> 00:37:56,000 Speaker 1: thousand people alive every year back like in the caveman 667 00:37:56,160 --> 00:37:59,120 Speaker 1: days and you know in Biblical times. If you he 668 00:37:59,560 --> 00:38:02,720 Speaker 1: just goes through the Bible and like outlines how fucking 669 00:38:02,719 --> 00:38:07,080 Speaker 1: horrifying and violent life was that they depict. But he 670 00:38:07,280 --> 00:38:11,360 Speaker 1: shows that, you know, violent crime and violent deaths have 671 00:38:11,560 --> 00:38:14,719 Speaker 1: gone down to like a minuscule level, and it's just 672 00:38:14,840 --> 00:38:20,560 Speaker 1: been people basically, you know, being brought under the rule 673 00:38:20,719 --> 00:38:24,120 Speaker 1: of governments who they are willing to you know, seed 674 00:38:24,239 --> 00:38:27,839 Speaker 1: some control to and most of these Western countries who 675 00:38:27,880 --> 00:38:32,359 Speaker 1: are comparing America to uh, have let their government take 676 00:38:32,400 --> 00:38:36,279 Speaker 1: away their guns. The only difference between America and these 677 00:38:36,320 --> 00:38:40,200 Speaker 1: other countries is just that Americans they basically formed a 678 00:38:40,239 --> 00:38:44,480 Speaker 1: government when they weren't quite ready to give up their guns, 679 00:38:44,719 --> 00:38:48,880 Speaker 1: and so they still have these massive numbers of guns. 680 00:38:48,920 --> 00:38:53,200 Speaker 1: And also guns back then were like not they took 681 00:38:53,400 --> 00:38:56,440 Speaker 1: a long time below right, and I mean the inventor 682 00:38:56,800 --> 00:39:00,399 Speaker 1: of the gun has come out or his family, I guess, 683 00:39:00,440 --> 00:39:03,920 Speaker 1: has come out and said he specifically would not have 684 00:39:04,160 --> 00:39:08,040 Speaker 1: wanted this gun at all to be in civilian hands, 685 00:39:08,040 --> 00:39:10,400 Speaker 1: and the idea that it would be would just be 686 00:39:10,560 --> 00:39:14,080 Speaker 1: like shocking to him, like uh, you know. This was 687 00:39:14,239 --> 00:39:17,520 Speaker 1: initially invented to be America's answer to the a K 688 00:39:17,680 --> 00:39:21,759 Speaker 1: forty seven in battle, but then a gun manufacturer by 689 00:39:21,760 --> 00:39:24,399 Speaker 1: the name of Coult got their hands on it and 690 00:39:24,520 --> 00:39:28,839 Speaker 1: they rebranded it as the Sporter as like a fun 691 00:39:28,920 --> 00:39:31,440 Speaker 1: toy and now you can get it in pink for 692 00:39:31,760 --> 00:39:36,640 Speaker 1: your lady from Valentine's Day. Um, so you know, only 693 00:39:36,719 --> 00:39:40,360 Speaker 1: to protect your home, you know, in the case of 694 00:39:40,440 --> 00:39:43,120 Speaker 1: vietcom come from you want to be exactly, you want 695 00:39:43,120 --> 00:39:47,439 Speaker 1: to be stylish while you're protecting your children. We wanted 696 00:39:47,480 --> 00:39:51,000 Speaker 1: to name some of our favorites or our favorite and 697 00:39:51,160 --> 00:39:56,879 Speaker 1: maybe least favorite romcom tropes. Uh so favorite romcom go Jack? 698 00:39:57,400 --> 00:40:00,239 Speaker 1: Uh prior notting Hill or something about Mary if you 699 00:40:00,480 --> 00:40:05,440 Speaker 1: let Me, if you allow it, it's not and it's 700 00:40:05,440 --> 00:40:07,759 Speaker 1: a full blown comedy. Yeah, yeah, totally. There's about a 701 00:40:07,760 --> 00:40:10,239 Speaker 1: guy getting a girl. Yeah, and it's called There's Something 702 00:40:10,239 --> 00:40:14,560 Speaker 1: about Mary. Yeah. So absolutely a romantic comedy, isn't it. 703 00:40:14,560 --> 00:40:18,439 Speaker 1: It doesn't mean there's yeah see and I've been saying 704 00:40:18,440 --> 00:40:24,600 Speaker 1: that the whole time. So that's my favorite favorite love actually, 705 00:40:24,680 --> 00:40:27,239 Speaker 1: even though it's by the same guy. Did notting Hill 706 00:40:27,440 --> 00:40:29,719 Speaker 1: not a big fan of love actually, actually, what's your pick? 707 00:40:30,440 --> 00:40:33,880 Speaker 1: What is my pick? What is my pick? Oh? I love? 708 00:40:34,520 --> 00:40:36,080 Speaker 1: I'm not sure if you guys have forgot it. Here 709 00:40:36,120 --> 00:40:38,960 Speaker 1: there's an old Pride and Prejudice, Not the Cira Nightly one, 710 00:40:39,239 --> 00:40:42,720 Speaker 1: there's another one. It was the original one Colin Firth 711 00:40:42,840 --> 00:40:45,680 Speaker 1: became famous for. In it, there's a famous scene where 712 00:40:45,680 --> 00:40:47,360 Speaker 1: he gets out of the lake and it's like, oh, 713 00:40:47,760 --> 00:40:51,680 Speaker 1: grumpily shake some water off of himself. And I always 714 00:40:51,680 --> 00:40:54,399 Speaker 1: like that one because afterwards you can't help but start 715 00:40:54,440 --> 00:40:57,160 Speaker 1: speaking exactly like this a hill time. It's very hard 716 00:40:57,239 --> 00:41:00,000 Speaker 1: not start speaking in English and it's all about manners 717 00:41:00,480 --> 00:41:03,400 Speaker 1: and it's sort of like looking at someone across the 718 00:41:03,440 --> 00:41:07,200 Speaker 1: crowded dance hall. But the dancing is really unenergetic and sexy. 719 00:41:07,440 --> 00:41:10,799 Speaker 1: It's just walking up, shaking your shoulders, walking back, and 720 00:41:10,840 --> 00:41:13,080 Speaker 1: it's just that sort of like back in the day 721 00:41:13,200 --> 00:41:17,160 Speaker 1: dancing and it's it's all eyes and Mr Darcy, do 722 00:41:17,239 --> 00:41:18,960 Speaker 1: you think that for three pounds a year, I'm going 723 00:41:19,000 --> 00:41:21,160 Speaker 1: to marry someone? Like? It's that sort of yeah, And 724 00:41:21,239 --> 00:41:24,160 Speaker 1: I really like that sort of old They're doing a 725 00:41:24,239 --> 00:41:26,719 Speaker 1: lot with just their eyes and a few manners, which 726 00:41:26,719 --> 00:41:28,480 Speaker 1: I think it's very interesting and you still get as 727 00:41:28,560 --> 00:41:35,000 Speaker 1: much from it. Miles. Oh, I think one fine Day, 728 00:41:35,360 --> 00:41:37,520 Speaker 1: what's one fine day again? One Fine Day is with 729 00:41:37,600 --> 00:41:40,239 Speaker 1: Michelle Peiffer and George Clooney where they're, you know, just 730 00:41:40,280 --> 00:41:43,560 Speaker 1: single parents trying to take their kids to daycare and 731 00:41:43,680 --> 00:41:46,200 Speaker 1: but they're also bouncing their their careers at the same time. 732 00:41:46,280 --> 00:41:48,799 Speaker 1: I don't know why do they do it? I think 733 00:41:48,840 --> 00:41:50,440 Speaker 1: I don't know. It could be nostalgia is like one 734 00:41:50,440 --> 00:41:52,680 Speaker 1: of the first dates I went on, like in sixth grade, 735 00:41:52,719 --> 00:41:54,440 Speaker 1: Like I took my sixth grade girlfriend to see and 736 00:41:54,440 --> 00:41:57,399 Speaker 1: I felt like an adult. This is one fine day, 737 00:41:58,600 --> 00:42:00,520 Speaker 1: and it also made me think New York was the 738 00:42:00,520 --> 00:42:03,800 Speaker 1: coolest place ever. What is sixth grade age wise? What 739 00:42:04,560 --> 00:42:06,360 Speaker 1: twelve years old? Twelve? If you brought a girl to 740 00:42:06,440 --> 00:42:10,359 Speaker 1: the cinema smiles your little legend, coke and everything. Oh 741 00:42:10,400 --> 00:42:12,680 Speaker 1: my god, that's fairly advantis you know. I took an 742 00:42:12,680 --> 00:42:14,399 Speaker 1: eighth grader once when I was sixth grade to see 743 00:42:14,600 --> 00:42:18,520 Speaker 1: bas Lerman's Romeo and Juliet. Oh my god, so you 744 00:42:18,520 --> 00:42:21,160 Speaker 1: know I'm out here. Yeah, as they would say, that's 745 00:42:21,480 --> 00:42:26,319 Speaker 1: too advanced, that's almost child services, little suspicious of you. 746 00:42:26,320 --> 00:42:29,800 Speaker 1: You know, Some say I was the original pickup artist. 747 00:42:29,840 --> 00:42:32,359 Speaker 1: You know, Yeah, who was that? Some who would say 748 00:42:33,200 --> 00:42:37,960 Speaker 1: mostly in a sort of drug adult like drug psychosis. 749 00:42:38,000 --> 00:42:40,880 Speaker 1: But yes, that is me when Harry met Sally. Can 750 00:42:40,920 --> 00:42:44,480 Speaker 1: I throw that into the mix? Yes? Yeah. Trope wise, though, 751 00:42:44,760 --> 00:42:47,160 Speaker 1: it always starts off with some level of deception, like 752 00:42:47,280 --> 00:42:49,960 Speaker 1: I'm an undercover journalist or like I'm not a ship 753 00:42:50,040 --> 00:42:52,800 Speaker 1: bag or whatever, and then they're like, wait, I'm into 754 00:42:52,880 --> 00:43:01,120 Speaker 1: deep relationship. I guess tu. Yeah, You're like, man, well 755 00:43:01,360 --> 00:43:03,279 Speaker 1: I'm really on top of my Just In general, I 756 00:43:03,280 --> 00:43:07,960 Speaker 1: think the most misleading it's necessary for the purposes of 757 00:43:08,000 --> 00:43:12,760 Speaker 1: all romantic comedies. But the most misleading trope in romantic 758 00:43:12,760 --> 00:43:17,000 Speaker 1: comedies is that dating is like really hard and like 759 00:43:17,560 --> 00:43:20,560 Speaker 1: because dating is the easy part if you're like in 760 00:43:20,560 --> 00:43:24,120 Speaker 1: a relationship with somebody who's like the one, whereas like, 761 00:43:24,320 --> 00:43:30,120 Speaker 1: you know, a successful relationship years down the road is difficult. 762 00:43:30,400 --> 00:43:34,080 Speaker 1: But like dating is they have to like throw all 763 00:43:34,080 --> 00:43:37,200 Speaker 1: these obstacles in the way of like people who are 764 00:43:37,239 --> 00:43:40,320 Speaker 1: in love with each other, like you know, a bet 765 00:43:40,560 --> 00:43:43,200 Speaker 1: or you know one of them being an undercover journalist 766 00:43:43,239 --> 00:43:47,160 Speaker 1: who is just doing research on them, or my other 767 00:43:47,280 --> 00:43:51,040 Speaker 1: least favorite trope is, uh that rape is a funny prank, 768 00:43:51,400 --> 00:43:57,880 Speaker 1: Like in Revenge of the Nerds and Wedding Crashers, he 769 00:43:57,880 --> 00:43:59,880 Speaker 1: ties him up. Yeah, he ties them up and like 770 00:44:00,719 --> 00:44:03,080 Speaker 1: has like a yeah, he's like kissing on Vince Vaughan, 771 00:44:03,200 --> 00:44:06,279 Speaker 1: like the brother right, don't remember that. But isn't that 772 00:44:06,320 --> 00:44:08,600 Speaker 1: though there's loads it, Well, this is what happens with 773 00:44:08,680 --> 00:44:10,400 Speaker 1: me to campaign. You go, no, it never happened to me. 774 00:44:10,560 --> 00:44:14,279 Speaker 1: Oh no, it has eighteen times. You just sort of 775 00:44:14,320 --> 00:44:17,360 Speaker 1: tend to go it's so expected this stuff that you're 776 00:44:17,440 --> 00:44:19,040 Speaker 1: at the time. It's like, well, isn't it funny that 777 00:44:19,080 --> 00:44:24,320 Speaker 1: a dude like tied up another dude and like was 778 00:44:24,400 --> 00:44:26,680 Speaker 1: sort of like the vehicle that powered that. And you 779 00:44:27,600 --> 00:44:30,080 Speaker 1: don't know because you're like, oh, yeah, this is awful, 780 00:44:30,120 --> 00:44:33,840 Speaker 1: isn't it. But the brother is involved at first, maybe 781 00:44:33,960 --> 00:44:37,000 Speaker 1: I don't know exactly how it happens. Revenge of the Nerds, 782 00:44:37,080 --> 00:44:40,480 Speaker 1: which is like this beloved eighties movie that people have 783 00:44:40,520 --> 00:44:45,680 Speaker 1: nostalgia for. The main character like misleads a woman into 784 00:44:45,719 --> 00:44:49,920 Speaker 1: thinking that he's her boyfriend and performs oral sex on her. 785 00:44:50,480 --> 00:44:54,839 Speaker 1: Oh my god, And that's like a guest. And even 786 00:44:54,840 --> 00:44:59,480 Speaker 1: the fact that it's called revenge, yeah, exactly, like revenge 787 00:44:59,520 --> 00:45:03,520 Speaker 1: of annie group of people on women is not it's 788 00:45:03,600 --> 00:45:06,239 Speaker 1: not great. When you start looking at all these little things, 789 00:45:06,239 --> 00:45:08,200 Speaker 1: you're like, oh god, we got a lot of work 790 00:45:08,239 --> 00:45:10,399 Speaker 1: to do. Guys. We're still kind of there because we're 791 00:45:10,440 --> 00:45:13,759 Speaker 1: living in revenge of the anti feminist internet user, right, 792 00:45:13,960 --> 00:45:17,080 Speaker 1: So it's the same, That's what I mean. It's almost 793 00:45:17,080 --> 00:45:22,320 Speaker 1: like that's gone like that's gone darker now. It's yeah, 794 00:45:22,480 --> 00:45:29,560 Speaker 1: all right, well what a weird All right, we'll be 795 00:45:29,640 --> 00:45:40,239 Speaker 1: right back, and we're back. We wanted to take a 796 00:45:40,239 --> 00:45:42,600 Speaker 1: look at a Twitter trend, miles that you have been 797 00:45:42,640 --> 00:45:45,440 Speaker 1: noticing just the last two days. Look, white people don't 798 00:45:45,480 --> 00:45:48,719 Speaker 1: want black people. They don't want us have anything. Okay. So, 799 00:45:48,920 --> 00:45:52,840 Speaker 1: first fucking yesterday with the Obama portraits, like there was 800 00:45:53,000 --> 00:45:57,120 Speaker 1: a coordinated smear campaign from the likes of the right. 801 00:45:57,800 --> 00:46:01,120 Speaker 1: Uh you know because Cahindy Wiley, who did the Obama portrait, 802 00:46:01,440 --> 00:46:04,560 Speaker 1: also did versions of like classical art of like beheadings 803 00:46:04,640 --> 00:46:06,640 Speaker 1: or whatever, and he does it in a style like anyway, 804 00:46:06,680 --> 00:46:08,680 Speaker 1: they basically were just there was a lot of four 805 00:46:08,760 --> 00:46:12,160 Speaker 1: Chan and and you know, are the Donald subreddit type 806 00:46:12,280 --> 00:46:14,560 Speaker 1: freaks out there trying to be like, oh, this is racist, 807 00:46:14,560 --> 00:46:16,680 Speaker 1: this is bullshit, blah blah blah, and just it was 808 00:46:16,719 --> 00:46:19,399 Speaker 1: like just a coordinated smear and a lot of people 809 00:46:19,440 --> 00:46:22,200 Speaker 1: suddenly became art critics yesterday when the ports came out 810 00:46:22,200 --> 00:46:23,799 Speaker 1: and like, oh this, so this looks terrible. This is 811 00:46:23,800 --> 00:46:26,120 Speaker 1: not art, Michelle Obama looks like the pencil drawing or whatever. 812 00:46:26,160 --> 00:46:29,040 Speaker 1: It's like, motherfucker, do you know art? Okay your avatar? 813 00:46:29,280 --> 00:46:34,040 Speaker 1: Is you wearing a camouflage under armourhood? Okay. Also, so 814 00:46:34,120 --> 00:46:35,560 Speaker 1: that was one thing and I was like, okay, whatever, 815 00:46:35,600 --> 00:46:37,560 Speaker 1: this is to be expected because this is sort of 816 00:46:37,600 --> 00:46:41,000 Speaker 1: the state of America. But then also as someone pointed 817 00:46:41,040 --> 00:46:44,160 Speaker 1: out how much there are people who really need to 818 00:46:44,160 --> 00:46:47,560 Speaker 1: point out to black people that Wakonda, uh, the imaginary 819 00:46:47,640 --> 00:46:50,720 Speaker 1: kingdom from the Black Panther film that has many people excited, 820 00:46:50,800 --> 00:46:53,239 Speaker 1: especially people of color, because look, look we gotta we 821 00:46:53,239 --> 00:46:57,000 Speaker 1: got our own movie now that is seemingly unoffensive. Uh. 822 00:46:57,040 --> 00:46:59,440 Speaker 1: So many people are tweeting stuff like Wakanda is not 823 00:47:00,719 --> 00:47:03,719 Speaker 1: what Konda? Do they do they realize what Konda is 824 00:47:03,760 --> 00:47:06,960 Speaker 1: not a real place. Dear black people, repeat after me, 825 00:47:07,280 --> 00:47:10,760 Speaker 1: what Konda is not real? These are all different tweets. 826 00:47:10,760 --> 00:47:13,480 Speaker 1: I'm not just saying this over L. L. Wakonda's fiction. 827 00:47:13,640 --> 00:47:16,800 Speaker 1: Ancient Egypt wasn't black. Wakonda is not a real place. 828 00:47:16,920 --> 00:47:23,160 Speaker 1: So look, but Gotham City is, Crypton is real, and 829 00:47:23,280 --> 00:47:28,959 Speaker 1: Dungeons up exactly our r I p rest in power 830 00:47:28,960 --> 00:47:31,920 Speaker 1: to Crypton. But yeah, again, we don't star Wars. A 831 00:47:31,960 --> 00:47:35,040 Speaker 1: tattooing is not real, and Door is not real. Look, 832 00:47:35,080 --> 00:47:39,279 Speaker 1: we know Alderon is not real, very real, Okay, don't 833 00:47:39,280 --> 00:47:43,080 Speaker 1: funk around Hogwarts whatever. I mean again, it's just I 834 00:47:43,080 --> 00:47:45,000 Speaker 1: guess because of the idea of that this is a 835 00:47:45,040 --> 00:47:47,440 Speaker 1: place where Africans still have, like you know, had the 836 00:47:47,480 --> 00:47:51,160 Speaker 1: agency over their own kingdom without colonialism or whatever to 837 00:47:51,200 --> 00:47:53,280 Speaker 1: do as they saw fit. It's like, oh my god, 838 00:47:53,880 --> 00:47:58,279 Speaker 1: people getting excited about the Black Panther movie coming out 839 00:47:58,360 --> 00:48:02,280 Speaker 1: and white people responding by pointing out that the movie 840 00:48:02,480 --> 00:48:04,919 Speaker 1: is fictional. Yeah, because you know, some people and they're 841 00:48:04,960 --> 00:48:09,120 Speaker 1: even on their Twitter names, are putting stuff about Wakanda 842 00:48:09,280 --> 00:48:13,120 Speaker 1: or whatever, and then that's got people so fucking angry. 843 00:48:13,239 --> 00:48:16,400 Speaker 1: It's worse than a straw man argument. It's condescending to 844 00:48:16,600 --> 00:48:20,200 Speaker 1: someone who doesn't exist. It's like inventing someone dumber than you. 845 00:48:20,760 --> 00:48:23,600 Speaker 1: So you could go, um, actually, and you're just in 846 00:48:23,640 --> 00:48:26,719 Speaker 1: our room alone, what are you doing? I mean, yeah, 847 00:48:26,760 --> 00:48:28,640 Speaker 1: you just got back like, oh, it's not Can you 848 00:48:28,680 --> 00:48:31,120 Speaker 1: show me any literature that Boogonda is not real? Right, 849 00:48:31,239 --> 00:48:33,319 Speaker 1: and just send them on a I guess a very 850 00:48:33,400 --> 00:48:36,960 Speaker 1: easy Google Google search. But yeah, that's so, that's that's 851 00:48:37,000 --> 00:48:39,600 Speaker 1: new in White people don't want us to have anything news. 852 00:48:40,320 --> 00:48:42,600 Speaker 1: So yeah, Wakanda is not real. Update, Wakanda is not real. 853 00:48:42,719 --> 00:48:46,480 Speaker 1: And also, you know, everything to do with everything is 854 00:48:46,560 --> 00:48:51,400 Speaker 1: racist has to do with this hot All right, that's 855 00:48:51,440 --> 00:48:55,600 Speaker 1: gonna do it for this week's Weekly Zeitgeist. Please like 856 00:48:55,719 --> 00:48:59,560 Speaker 1: and review the show. If you like the show, uh 857 00:49:00,000 --> 00:49:03,800 Speaker 1: means the world of Miles. He needs your validation, folks. 858 00:49:04,400 --> 00:49:07,480 Speaker 1: I hope you're having a great weekend and I will 859 00:49:07,480 --> 00:49:53,640 Speaker 1: talk to him Monday. By