1 00:00:00,240 --> 00:00:03,000 Speaker 1: Hello the Internet, and welcome to season eighteen so two 2 00:00:03,040 --> 00:00:07,720 Speaker 1: of jars dailies eyed Geist for February thirteen, the day 3 00:00:07,760 --> 00:00:10,959 Speaker 1: before Valentine's Day, two thousand eighteen. My name is Jack O'Brien, 4 00:00:11,000 --> 00:00:15,000 Speaker 1: a k sister Jack to Jack in the habit that 5 00:00:15,200 --> 00:00:18,079 Speaker 1: is courtesy of Jared RBIs, and I am thrilled to 6 00:00:18,120 --> 00:00:20,600 Speaker 1: be joined as always by my co host, Mr Miles Gray. 7 00:00:21,760 --> 00:00:27,160 Speaker 1: Don't Miles grays and water falls. Please stick to the 8 00:00:27,400 --> 00:00:31,920 Speaker 1: rivers and the grays that you used to. I know 9 00:00:32,159 --> 00:00:36,519 Speaker 1: that you're gonna mouse it. You're gray on nothing at all. 10 00:00:37,080 --> 00:00:43,760 Speaker 1: But thank you. Emma Horner. See that's a multi layer 11 00:00:43,840 --> 00:00:46,800 Speaker 1: dak and I get down with that. Any TLC references 12 00:00:47,000 --> 00:00:50,960 Speaker 1: are welcome, So thank you very good. Uh, And we 13 00:00:51,040 --> 00:00:55,040 Speaker 1: are thrilled to be joined in our third seat by 14 00:00:55,040 --> 00:00:59,760 Speaker 1: my former co host on the Cracked podcast, The Hilarious 15 00:01:00,040 --> 00:01:05,280 Speaker 1: Michael Sway. I don't know what Salnett includes my name? 16 00:01:05,680 --> 00:01:10,600 Speaker 1: What about that? John Tarles BULTA, move my gol. You 17 00:01:13,840 --> 00:01:16,520 Speaker 1: guys are practiced at this. We have to come on. 18 00:01:17,760 --> 00:01:23,919 Speaker 1: Michael Swan got no friend, I don't know. Well, alright, 19 00:01:24,040 --> 00:01:28,839 Speaker 1: great episode, Michael. What is something from your search history 20 00:01:28,880 --> 00:01:32,920 Speaker 1: that is revealing about who you are. Oh boy, I 21 00:01:33,040 --> 00:01:36,959 Speaker 1: searched small egg covered in ash, what does taste like? 22 00:01:37,959 --> 00:01:41,840 Speaker 1: Because also I do the Google caveman frady Um. I 23 00:01:41,880 --> 00:01:44,640 Speaker 1: saw that chef's table on Netflix about Favrican. Do you 24 00:01:44,640 --> 00:01:49,840 Speaker 1: guys know Favrican. It's a three Michelin star restaurant in Sweden. Uh. 25 00:01:49,920 --> 00:01:53,440 Speaker 1: You can't get there anyway other than by like traveling 26 00:01:53,600 --> 00:01:56,920 Speaker 1: over land for at least a day. And it's this 27 00:01:57,280 --> 00:02:01,440 Speaker 1: super famous restaurant where the head chef, Man Snielsen, only 28 00:02:01,520 --> 00:02:05,400 Speaker 1: makes stuff that I cannot imagine being good at all, 29 00:02:05,880 --> 00:02:08,720 Speaker 1: So like it just fascinates me. Like a tiny egg 30 00:02:08,760 --> 00:02:11,080 Speaker 1: covered in ash is one of the dishes. They just 31 00:02:11,160 --> 00:02:14,959 Speaker 1: launched a new dish that's a sheep's tongue, not sliced 32 00:02:15,120 --> 00:02:18,440 Speaker 1: like not a nice tongue Deli sandwich, the whole tongue 33 00:02:18,480 --> 00:02:21,960 Speaker 1: looking like a tongue on top of like sprigs of 34 00:02:22,000 --> 00:02:26,160 Speaker 1: wood with pickled dandelions on it. And he'll, yeah, he 35 00:02:26,240 --> 00:02:29,840 Speaker 1: makes like clams cooked with wood. He uses wood a lot. 36 00:02:30,240 --> 00:02:34,600 Speaker 1: Here's like a bark soup. And I just love getting 37 00:02:34,639 --> 00:02:38,320 Speaker 1: into the learning about like chefs creations that are totally 38 00:02:38,400 --> 00:02:42,120 Speaker 1: up their own asses, Like in searching that in preparation 39 00:02:42,160 --> 00:02:44,280 Speaker 1: for this, I found out there's a restaurant called Quinson, 40 00:02:44,320 --> 00:02:46,960 Speaker 1: San Francisco that I just found out about today that 41 00:02:47,080 --> 00:02:51,520 Speaker 1: serves a meal called a Dog in search of Gold 42 00:02:52,080 --> 00:02:57,320 Speaker 1: That is a truffle a hazelnut crisp dusted with mushroom powder, 43 00:02:57,639 --> 00:03:03,000 Speaker 1: served on an iPad, served on an iPad. Yeah, and 44 00:03:03,160 --> 00:03:05,200 Speaker 1: something being displayed on the iPad is that the reason 45 00:03:05,360 --> 00:03:07,800 Speaker 1: I couldn't get to that level of detail, because of 46 00:03:07,800 --> 00:03:10,760 Speaker 1: course they're like, you gotta come, you gotta experience it, man, Yeah, 47 00:03:10,800 --> 00:03:13,120 Speaker 1: and then you'll see what. I'm sure there's some proprietary 48 00:03:13,160 --> 00:03:16,280 Speaker 1: app on iPad playing Otherwise I'm like, did you just 49 00:03:16,919 --> 00:03:21,440 Speaker 1: slap some ship together? Um? Did you see the video 50 00:03:21,800 --> 00:03:26,280 Speaker 1: by that journalist who made his basement the number one 51 00:03:26,600 --> 00:03:31,080 Speaker 1: restaurant on trip Advisor. Yeah, it was really great and 52 00:03:31,200 --> 00:03:34,920 Speaker 1: basically he just all he did was reject people and 53 00:03:34,960 --> 00:03:37,560 Speaker 1: be like, oh, sorry, we're fully booked that that night, 54 00:03:37,720 --> 00:03:40,320 Speaker 1: and people just kept getting like more hype about it, 55 00:03:40,560 --> 00:03:44,200 Speaker 1: and like he, you know, described it. He's a good writer, 56 00:03:44,280 --> 00:03:46,880 Speaker 1: and he described it in a really interesting way. And 57 00:03:47,360 --> 00:03:50,720 Speaker 1: but then on the final night he actually like put 58 00:03:50,800 --> 00:03:53,680 Speaker 1: together the thing and like people had to be blindfolded 59 00:03:53,960 --> 00:03:56,560 Speaker 1: to come in and like, uh, he just like had 60 00:03:56,640 --> 00:04:00,760 Speaker 1: like a guy like eating on his root on the 61 00:04:00,840 --> 00:04:03,080 Speaker 1: roof of his house. So it seemed like all weird 62 00:04:03,160 --> 00:04:05,520 Speaker 1: and stuff. And there was a guy who was like, uh, 63 00:04:05,800 --> 00:04:08,200 Speaker 1: there was like a chicken coop there where they were like, yeah, 64 00:04:08,280 --> 00:04:10,040 Speaker 1: we're gonna kill that and like feed it to you, 65 00:04:10,120 --> 00:04:13,480 Speaker 1: and then they just fed people like frozen dinners. But uh, 66 00:04:13,600 --> 00:04:16,760 Speaker 1: and people are like, oh, it's delicious. Do you know 67 00:04:16,839 --> 00:04:21,080 Speaker 1: if the rating dropped after the event after people tried it, 68 00:04:21,120 --> 00:04:23,240 Speaker 1: But it's a great video of people. Yeah, there's the 69 00:04:23,240 --> 00:04:25,320 Speaker 1: guy is brilliant. Uh. My girlfriend and I have been 70 00:04:25,360 --> 00:04:28,560 Speaker 1: getting super into high end food, but it's just hard 71 00:04:28,600 --> 00:04:31,200 Speaker 1: to I like cooking, and I like the science of 72 00:04:31,200 --> 00:04:33,960 Speaker 1: food and the art of cooking, but there's so much 73 00:04:34,000 --> 00:04:38,000 Speaker 1: classes bullshit with it. It's crazy. Yeah, you're not very accessible. 74 00:04:38,120 --> 00:04:41,960 Speaker 1: There's we're trying to get into this restaurant event in 75 00:04:42,000 --> 00:04:45,039 Speaker 1: hell A where they interview you like a job interview 76 00:04:45,120 --> 00:04:48,599 Speaker 1: to be allowed to come, and it's like this, which 77 00:04:49,520 --> 00:04:54,159 Speaker 1: it's called Wolves. Then I think, oh, wolfs mouth, wolfs mouth. Yeah, 78 00:04:54,279 --> 00:04:56,160 Speaker 1: it's like yeah, yeah, yeah, I've heard about that where 79 00:04:56,160 --> 00:04:58,240 Speaker 1: it's like they only feed like what fifteen people at 80 00:04:58,240 --> 00:05:01,440 Speaker 1: a time, right like once a month or something. But 81 00:05:01,600 --> 00:05:04,160 Speaker 1: after a few interviews were just like what are we doing. 82 00:05:04,440 --> 00:05:06,640 Speaker 1: We're like interviewing to be able to eat food? What 83 00:05:06,680 --> 00:05:08,920 Speaker 1: are the questions like? And how much can you eat 84 00:05:09,320 --> 00:05:13,159 Speaker 1: right now? Just literally yeah, like your palate, your food 85 00:05:13,200 --> 00:05:16,560 Speaker 1: experience and like experience with decorum at a table and 86 00:05:16,600 --> 00:05:22,400 Speaker 1: stuff like that. Yeah, they like quiz you on the 87 00:05:22,440 --> 00:05:26,480 Speaker 1: dessert and salad forks and which one no, because that's 88 00:05:26,560 --> 00:05:29,480 Speaker 1: there's this whole movement of they They're like, it's super weird. 89 00:05:29,760 --> 00:05:33,200 Speaker 1: They're trying to be punk and like subversive and break 90 00:05:33,240 --> 00:05:37,040 Speaker 1: food rules, but you still have to do everything they 91 00:05:37,040 --> 00:05:40,440 Speaker 1: say exactly right they want it. It's like that's not 92 00:05:40,520 --> 00:05:43,360 Speaker 1: in the wolf mouth voice. Can you wear something else there? 93 00:05:44,839 --> 00:05:48,000 Speaker 1: Because they consider like obnoxious the people that you're going 94 00:05:48,040 --> 00:05:50,520 Speaker 1: to be chatting with. Is part of the atmosphere that 95 00:05:50,560 --> 00:05:53,440 Speaker 1: they are obliged to control, is the theory, But it 96 00:05:53,560 --> 00:05:57,160 Speaker 1: ends up just being like a fascist eating experience, right, 97 00:05:57,560 --> 00:05:59,800 Speaker 1: Like you're just hoping that you don't break some uns 98 00:06:00,080 --> 00:06:02,560 Speaker 1: can rule. I mean yeah, when you look at their website, 99 00:06:02,600 --> 00:06:05,040 Speaker 1: it's not a restaurant, it's a dinner party It's the 100 00:06:05,120 --> 00:06:08,640 Speaker 1: intersection between food, music, and art. It's an exploration and 101 00:06:08,800 --> 00:06:12,320 Speaker 1: social dynamics. It's friends old and new. It's fleeting and 102 00:06:12,400 --> 00:06:17,280 Speaker 1: always changing, no menus, no dress code, no pretense, really 103 00:06:17,440 --> 00:06:24,080 Speaker 1: no pretense. Every word proceeding that was pretenious, pretentious thing. Ever. 104 00:06:24,680 --> 00:06:26,599 Speaker 1: I desperately want to get into that just so that 105 00:06:26,680 --> 00:06:30,680 Speaker 1: I can have the most pure experience of hatred. Like ever, 106 00:06:31,000 --> 00:06:33,440 Speaker 1: just like looking around at the you know, we dope 107 00:06:33,480 --> 00:06:35,320 Speaker 1: to go record it and we just get kicked the 108 00:06:35,320 --> 00:06:38,160 Speaker 1: funk out, Yeah, just to break all the wolves mouth 109 00:06:38,279 --> 00:06:40,480 Speaker 1: was like you're blacklisted from Wolves down forever, Like I 110 00:06:40,480 --> 00:06:42,880 Speaker 1: don't give a fuck. Yeah, And it is there that 111 00:06:42,960 --> 00:06:45,680 Speaker 1: it's the kind of place where if you go and 112 00:06:45,720 --> 00:06:48,279 Speaker 1: see a one star review where someone's like the food 113 00:06:48,320 --> 00:06:50,400 Speaker 1: was all right. It took us six months to get in, 114 00:06:50,720 --> 00:06:52,560 Speaker 1: and the chef was a dick and just talked about 115 00:06:52,640 --> 00:06:55,720 Speaker 1: himself the whole time dominated the conversation, and the chef 116 00:06:55,760 --> 00:06:59,320 Speaker 1: will right back like a five page like why that 117 00:06:59,360 --> 00:07:02,320 Speaker 1: person is around? That'd be amazing little group to troll. Yeah, 118 00:07:02,800 --> 00:07:05,359 Speaker 1: we need to get into this, I know. Yeah, we 119 00:07:05,400 --> 00:07:06,760 Speaker 1: are not a couple of people who might be able 120 00:07:06,760 --> 00:07:09,160 Speaker 1: to get us in We're not a zeitgeist show if 121 00:07:09,160 --> 00:07:11,480 Speaker 1: we do not get into this control the fun out 122 00:07:11,480 --> 00:07:14,040 Speaker 1: of it and we're hitting microphones and all that. Show Michael, 123 00:07:14,160 --> 00:07:18,120 Speaker 1: what is something that is underrated? Underrated? Okay? Well, as 124 00:07:18,120 --> 00:07:20,480 Speaker 1: a comedian, of course, favorite comedies are dear to me 125 00:07:20,960 --> 00:07:25,120 Speaker 1: and even in our circles knowing mostly other comedians, My 126 00:07:25,200 --> 00:07:28,680 Speaker 1: favorite comedy show, in my favorite comedy movie no one 127 00:07:28,720 --> 00:07:32,080 Speaker 1: else likes. So I have to plug them for show. 128 00:07:32,200 --> 00:07:35,080 Speaker 1: Freak a Zoid from the from the period where we 129 00:07:35,080 --> 00:07:39,120 Speaker 1: were blessed to have Stephen fucking Spielberg like creating and 130 00:07:39,160 --> 00:07:46,800 Speaker 1: producing an exactly ed Asner Ricardo montele Bond and like 131 00:07:46,840 --> 00:07:50,080 Speaker 1: some of the sharpest you know, the writing that it's 132 00:07:50,120 --> 00:07:52,160 Speaker 1: literally the jokes are so adult that that's why I 133 00:07:52,240 --> 00:07:54,720 Speaker 1: got canceled, and not only in edgy, but I mean, like, 134 00:07:55,200 --> 00:07:57,280 Speaker 1: no kid is gonna get that Joe right. And I 135 00:07:57,320 --> 00:07:58,720 Speaker 1: loved it though, and I feel like, I guess I 136 00:07:58,760 --> 00:08:00,920 Speaker 1: haven't looked at it with adult but I remember at 137 00:08:00,920 --> 00:08:03,120 Speaker 1: the time I was all about freak Zoid, yeah, because 138 00:08:03,160 --> 00:08:05,440 Speaker 1: I felt it was kind of like in similar to Animaniacs, 139 00:08:05,440 --> 00:08:07,880 Speaker 1: where there were jokes that were seemingly out of my 140 00:08:08,000 --> 00:08:10,880 Speaker 1: like you know sort of mental capability to Yeah, they 141 00:08:10,880 --> 00:08:14,240 Speaker 1: all played the both plagues, and like Pixar is good 142 00:08:14,240 --> 00:08:16,720 Speaker 1: at that now. But I feel like that Spielberg w 143 00:08:16,840 --> 00:08:18,960 Speaker 1: b Era was the beginning of like we're gonna have 144 00:08:19,000 --> 00:08:22,000 Speaker 1: a kids show that the adults will also find funny. 145 00:08:22,080 --> 00:08:23,560 Speaker 1: And I think Freak a Zoid is the one that 146 00:08:23,560 --> 00:08:26,360 Speaker 1: show that pushed it too much towards the adult end 147 00:08:26,400 --> 00:08:29,160 Speaker 1: of the spectrum. It's way better as an adult, Like 148 00:08:29,200 --> 00:08:33,800 Speaker 1: definitely where I mean, I steal it from this guy 149 00:08:33,840 --> 00:08:36,280 Speaker 1: down my black as a bag of DVD. I got 150 00:08:36,280 --> 00:08:39,280 Speaker 1: a hard drive. It's only two seasons. Yeah, and it's 151 00:08:39,400 --> 00:08:41,880 Speaker 1: it's just dynamite. And if you're like now that you're 152 00:08:41,880 --> 00:08:44,520 Speaker 1: an adult who has a brain that analyzes how jokes work, 153 00:08:44,920 --> 00:08:47,560 Speaker 1: some of the stuff is just so impressive. Yeah, what's 154 00:08:47,559 --> 00:08:51,280 Speaker 1: the movie? The movie even more obscure on theme. It's 155 00:08:51,320 --> 00:08:56,520 Speaker 1: called Freaked, not Todd Browning's Freaks, which I also find hilarious, 156 00:08:56,559 --> 00:09:01,080 Speaker 1: but Freaked. It's the only non villain head movie that 157 00:09:01,160 --> 00:09:05,240 Speaker 1: features Alex Winter and Kianna Reeves. Kiana Reeves is uncredited 158 00:09:05,480 --> 00:09:09,560 Speaker 1: because he's in complete werewolf prosthetics the entire time. By 159 00:09:09,600 --> 00:09:13,800 Speaker 1: far Keianna Reves best performance you got Randy Quaid, Mr. 160 00:09:13,880 --> 00:09:18,560 Speaker 1: T Bobcat gold Weight, and it is the funniest script 161 00:09:18,800 --> 00:09:23,200 Speaker 1: I've ever come across. Yeah, what, oh man, I don't know. 162 00:09:23,280 --> 00:09:25,520 Speaker 1: It's got to be nineties because it's like the entire 163 00:09:25,520 --> 00:09:28,920 Speaker 1: soundtrack is the Butthole Surfers and there's claymation effects, so 164 00:09:28,960 --> 00:09:32,640 Speaker 1: you're like, okay, the nineties, but it is an amazing 165 00:09:32,679 --> 00:09:35,120 Speaker 1: film that needs to be seen by a much wider audience. 166 00:09:37,160 --> 00:09:39,320 Speaker 1: Vane actor, his best friend and activists end up at 167 00:09:39,320 --> 00:09:42,560 Speaker 1: a mutant freak farm room by a weirdo scientist all right, yep, 168 00:09:42,600 --> 00:09:46,120 Speaker 1: where they get mutated with fertilizer and it's just it's 169 00:09:46,200 --> 00:09:53,520 Speaker 1: just delightful. It's a bit like Airplane crossed with Simpsons. Yeah, okay, 170 00:09:54,200 --> 00:10:00,280 Speaker 1: So what is something that's overrated? Recycling? Recycling? We trying 171 00:10:00,280 --> 00:10:06,400 Speaker 1: to take a sample of what do you care to explain? What? Well? 172 00:10:06,440 --> 00:10:08,920 Speaker 1: I did? I started looking into it after that their 173 00:10:09,040 --> 00:10:11,080 Speaker 1: Penn and Teller had a show called Bullshit where they 174 00:10:11,080 --> 00:10:14,200 Speaker 1: called bullshit on things, and one was recycling. And since 175 00:10:14,600 --> 00:10:17,240 Speaker 1: that brought that to my attention, I have been following 176 00:10:17,679 --> 00:10:20,480 Speaker 1: news articles studies on the value of recycling, and if 177 00:10:20,520 --> 00:10:23,720 Speaker 1: you remember back to your school days. There's reduced reuse 178 00:10:23,800 --> 00:10:28,040 Speaker 1: and recycle. Recycling is the least effective way to help 179 00:10:28,559 --> 00:10:33,679 Speaker 1: our climate and environment situation. It hurts the economy the most. 180 00:10:34,080 --> 00:10:38,120 Speaker 1: There's the least evidence that it's doing anything useful. Because 181 00:10:38,160 --> 00:10:41,120 Speaker 1: even though we don't like the idea of filling giant 182 00:10:41,160 --> 00:10:44,240 Speaker 1: landfills with garbage, the Earth is really large and there 183 00:10:44,360 --> 00:10:47,000 Speaker 1: is a lot of space I filled with garbage. What 184 00:10:47,160 --> 00:10:49,440 Speaker 1: we need to do to prevent more carbon emissions and 185 00:10:49,520 --> 00:10:53,520 Speaker 1: all the attendant catastrophes is reduced and reuse. Like the 186 00:10:53,559 --> 00:10:56,520 Speaker 1: main thing you can do as an American is waste 187 00:10:56,559 --> 00:10:59,280 Speaker 1: less food. Like across the board, everyone says, if you 188 00:10:59,360 --> 00:11:02,200 Speaker 1: just eat all the groceries in your fridge, that is 189 00:11:02,320 --> 00:11:04,679 Speaker 1: like the better than buying a prius. It's better than 190 00:11:04,679 --> 00:11:07,720 Speaker 1: anything else you can do. Um, then reuse. You know, 191 00:11:07,800 --> 00:11:10,080 Speaker 1: I'm wearing underwear I've had on for five days, and 192 00:11:10,120 --> 00:11:13,120 Speaker 1: I think that helps the environment terrible, But I admire 193 00:11:13,160 --> 00:11:15,440 Speaker 1: you they are made from recycled underwear. So it's the 194 00:11:15,440 --> 00:11:20,320 Speaker 1: double war. So the difference between reusing and recycling is 195 00:11:20,559 --> 00:11:23,360 Speaker 1: that you're just like getting taking a reusable bag to 196 00:11:23,400 --> 00:11:27,280 Speaker 1: the grocery store and stuff like that. Yeah, uh, not 197 00:11:27,400 --> 00:11:32,000 Speaker 1: buying disposable items, uh, wearing clothes and shoes and driving 198 00:11:32,040 --> 00:11:34,640 Speaker 1: your car and keeping your phone until those things don't 199 00:11:34,640 --> 00:11:37,520 Speaker 1: work anymore. And just like every I have a really 200 00:11:37,520 --> 00:11:40,000 Speaker 1: old slow phone and every time it runs slow, I 201 00:11:40,080 --> 00:11:42,720 Speaker 1: just tell myself, you know, you're helping. That's like the 202 00:11:42,800 --> 00:11:45,320 Speaker 1: environment tax, because getting a new iPhone every year is 203 00:11:45,320 --> 00:11:48,520 Speaker 1: one of the worst things you can do. Uh. And yeah, 204 00:11:48,840 --> 00:11:50,240 Speaker 1: so what do do you? Just throw your cans in 205 00:11:50,240 --> 00:11:53,040 Speaker 1: the garbage? Like with everything? Yeah, I don't recycle at all. 206 00:11:53,040 --> 00:11:55,880 Speaker 1: You smash them down first. And my understanding from looking 207 00:11:55,880 --> 00:11:59,120 Speaker 1: into it is that the most effective is glass and aluminum. 208 00:11:59,200 --> 00:12:01,080 Speaker 1: So I'm not gonna like hate on people who do 209 00:12:01,480 --> 00:12:04,080 Speaker 1: recycle those things. But another thing that's been found is 210 00:12:04,720 --> 00:12:07,079 Speaker 1: when people have that blue ben in their house and 211 00:12:07,160 --> 00:12:10,760 Speaker 1: they fill it up with trash, which they is not 212 00:12:10,760 --> 00:12:12,280 Speaker 1: going to help as much as they think it is. 213 00:12:12,640 --> 00:12:15,360 Speaker 1: They think to themselves, that's my bit for the environment, 214 00:12:16,080 --> 00:12:18,800 Speaker 1: like they at least put in there right. Homes that 215 00:12:18,920 --> 00:12:22,000 Speaker 1: recycle are way more likely to waste way more and 216 00:12:22,040 --> 00:12:26,000 Speaker 1: actually have a larger carbon footprint because they just tell themselves, 217 00:12:26,240 --> 00:12:33,640 Speaker 1: I recycle themselves, reduced reuse, close the loop. Yeah, and 218 00:12:33,760 --> 00:12:36,720 Speaker 1: you just throw your garbage everywhere. I've noticed, just out 219 00:12:36,760 --> 00:12:38,800 Speaker 1: on the streets. I just think, yeah, I take the 220 00:12:38,840 --> 00:12:40,679 Speaker 1: six pack ring, I just go to the ocean, I 221 00:12:40,679 --> 00:12:45,000 Speaker 1: go out of here. It's actually a unique intersection of 222 00:12:45,040 --> 00:12:49,240 Speaker 1: dining and performance art Jack, And once you're on the list, 223 00:12:49,240 --> 00:12:51,719 Speaker 1: I think you'll understand. All right, we're trying to take 224 00:12:51,720 --> 00:12:53,640 Speaker 1: a sample of what people are thinking and talking about 225 00:12:53,720 --> 00:12:56,120 Speaker 1: right now, at this very moment. And the way we 226 00:12:56,160 --> 00:12:58,320 Speaker 1: like to open up is by asking our guests what 227 00:12:58,440 --> 00:13:00,720 Speaker 1: is a myth? What's something people believed to be true 228 00:13:00,800 --> 00:13:04,920 Speaker 1: that is not. I just like how we eventually found 229 00:13:04,960 --> 00:13:07,800 Speaker 1: out the word organic means nothing and it's not enforced 230 00:13:07,840 --> 00:13:11,480 Speaker 1: on our food. Uh. I'm coming to suspect that Netflix 231 00:13:11,520 --> 00:13:15,960 Speaker 1: original doesn't mean anything, and I think people still think 232 00:13:15,960 --> 00:13:20,280 Speaker 1: it does. Like when HBO produces something, it comes with 233 00:13:20,320 --> 00:13:23,360 Speaker 1: a certain standard you expect. Not everything HBO makes is great, 234 00:13:23,520 --> 00:13:26,120 Speaker 1: but you get the vibe. And it's because when they 235 00:13:26,160 --> 00:13:30,120 Speaker 1: say that it actually means they produced it, their executive 236 00:13:30,160 --> 00:13:33,040 Speaker 1: is fucked with it that it was molded to their 237 00:13:33,080 --> 00:13:36,640 Speaker 1: break right. And Netflix originals you get like, yes, House 238 00:13:36,640 --> 00:13:38,840 Speaker 1: of Cards and Beasts of No Nations were like that, 239 00:13:39,400 --> 00:13:42,760 Speaker 1: But there's this huge influx of like foreign movies that 240 00:13:42,880 --> 00:13:44,840 Speaker 1: just weren't distributed in the US, and they just stand 241 00:13:44,960 --> 00:13:47,760 Speaker 1: Netflix Original on it. And I keep getting fooled by 242 00:13:47,760 --> 00:13:50,960 Speaker 1: this ship, like because up till now, other than like 243 00:13:51,040 --> 00:13:54,920 Speaker 1: Real Rob and the Adam Sandlers slate, every Netflix original 244 00:13:55,000 --> 00:13:57,560 Speaker 1: is really impressed me, or at least been solid. And 245 00:13:57,600 --> 00:14:00,600 Speaker 1: I think we're starting to fall off. They're the beginning 246 00:14:00,600 --> 00:14:02,360 Speaker 1: of the end. For me, is when I started seeing 247 00:14:02,400 --> 00:14:04,680 Speaker 1: that they were kind of like messing with the formula. 248 00:14:04,840 --> 00:14:06,360 Speaker 1: But yeah, now it seems like a lot of even 249 00:14:06,440 --> 00:14:09,480 Speaker 1: American production companies, they'll do dump shit on Netflix, like 250 00:14:09,600 --> 00:14:10,960 Speaker 1: you want to license this, and he was just we'll 251 00:14:10,960 --> 00:14:13,480 Speaker 1: call it a Netflix original. And now I've been reading 252 00:14:13,720 --> 00:14:17,760 Speaker 1: like yeah in Entertainment News, such and such movie got 253 00:14:17,840 --> 00:14:20,480 Speaker 1: dropped because they don't want to promote it. And then 254 00:14:20,880 --> 00:14:23,320 Speaker 1: five months later I see it as a Netflix original, right. 255 00:14:23,400 --> 00:14:25,920 Speaker 1: Oh no, Yeah, I used to count on that, like 256 00:14:25,960 --> 00:14:28,120 Speaker 1: I could count on you know, if Jake Jillen Halls 257 00:14:28,160 --> 00:14:31,880 Speaker 1: in something the script is strong right right at the 258 00:14:31,880 --> 00:14:38,000 Speaker 1: same time, and then I question everything. The Jillen Hall 259 00:14:38,040 --> 00:14:42,520 Speaker 1: brand is strong. Uh. I do worry about like they're 260 00:14:42,560 --> 00:14:45,960 Speaker 1: not being a place for people to see like indie 261 00:14:45,960 --> 00:14:48,840 Speaker 1: movies and stuff like that, because I guess Amazon is 262 00:14:48,920 --> 00:14:52,280 Speaker 1: now going in the opposite direction and they're basically like, 263 00:14:52,520 --> 00:14:54,680 Speaker 1: we're taking everything in house and we're going to produce 264 00:14:54,720 --> 00:14:57,920 Speaker 1: these huge blockbuster things, whereas before they were producing things 265 00:14:57,960 --> 00:15:01,400 Speaker 1: like Manchester by the Sea and stuff like That's so um, 266 00:15:01,440 --> 00:15:04,720 Speaker 1: I do like that there's a place that is still 267 00:15:04,760 --> 00:15:09,480 Speaker 1: like funding movies that aren't getting widely released or whatever. Um, 268 00:15:09,520 --> 00:15:14,560 Speaker 1: but they're not. They're getting the rights though to just 269 00:15:14,600 --> 00:15:18,000 Speaker 1: but it's not like they're behind actually the generation of 270 00:15:18,000 --> 00:15:20,680 Speaker 1: these films. They're just like, hey, yeah, well, I guess 271 00:15:20,720 --> 00:15:22,160 Speaker 1: we'll pay you to license it to put it on ourself. 272 00:15:22,200 --> 00:15:24,400 Speaker 1: That's what I'm getting is I wonder if some because 273 00:15:24,400 --> 00:15:26,320 Speaker 1: you know, everything is just the computer tells them what 274 00:15:26,360 --> 00:15:29,600 Speaker 1: to do basically over there, and I wonder if some 275 00:15:29,680 --> 00:15:32,640 Speaker 1: algorithm just told them like that little logo that says 276 00:15:32,680 --> 00:15:35,360 Speaker 1: Netflix Original is really working for us, and now they're 277 00:15:35,440 --> 00:15:38,320 Speaker 1: overusing it. Because also when I log on now it's 278 00:15:38,320 --> 00:15:42,000 Speaker 1: almost all Netflex originals, it's starting to lose its impact. 279 00:15:43,280 --> 00:15:45,680 Speaker 1: All right, Well, we are going to move on to 280 00:15:46,120 --> 00:15:49,120 Speaker 1: the stories. We will get back to Netflix originals because 281 00:15:49,960 --> 00:15:52,480 Speaker 1: looking at Google trends, there are a couple on there 282 00:15:52,520 --> 00:15:56,760 Speaker 1: that really popped up. Uh. So let's get into a 283 00:15:56,840 --> 00:15:59,800 Speaker 1: quick review of the Olympics before our first break. Chloe 284 00:16:00,040 --> 00:16:06,760 Speaker 1: am uh first generation Korean or second generation Korean, depending 285 00:16:06,800 --> 00:16:08,800 Speaker 1: on So this is the main thing I want to 286 00:16:08,800 --> 00:16:12,360 Speaker 1: talk about, is the fact that there's no agreed on 287 00:16:12,440 --> 00:16:16,240 Speaker 1: definition of first generation Korean. I thought I assumed first 288 00:16:16,240 --> 00:16:19,320 Speaker 1: generation meant that you were the first generation that was 289 00:16:19,360 --> 00:16:22,960 Speaker 1: born in the United States. Uh. My wife is first 290 00:16:22,960 --> 00:16:28,200 Speaker 1: generation Korean, like Chloe Kim. Uh. And apparently that's not 291 00:16:28,320 --> 00:16:30,800 Speaker 1: an agreed on thing because I saw somebody referring to 292 00:16:30,840 --> 00:16:34,800 Speaker 1: Chloe Kim as second generation and her parents who immigrated 293 00:16:34,840 --> 00:16:38,400 Speaker 1: here as first generation American. Let's just make up our minds, guys. 294 00:16:38,560 --> 00:16:42,520 Speaker 1: Come on, Yeah, wait, so there's no like dictionary definition 295 00:16:42,520 --> 00:16:44,880 Speaker 1: of what counts. No, when you go to a Wikipedia, 296 00:16:45,000 --> 00:16:50,000 Speaker 1: they say first generation means one of two completely conflicting things. 297 00:16:50,320 --> 00:16:54,280 Speaker 1: Because in Japanese, I'm considered nissa, which is a person 298 00:16:54,360 --> 00:16:57,280 Speaker 1: born in the US whose parents are from Japan. Yeah, 299 00:16:57,320 --> 00:16:59,880 Speaker 1: and that's considered second generation. But I'm like, but our 300 00:17:00,080 --> 00:17:02,800 Speaker 1: I the first You feel like it's about your birth. 301 00:17:03,960 --> 00:17:06,920 Speaker 1: So I don't know what there's such a robust racist 302 00:17:06,960 --> 00:17:13,639 Speaker 1: lexicon in every culture. Um. But anyways, she crushed it. 303 00:17:13,800 --> 00:17:18,280 Speaker 1: She was basically already had the gold medal locked away, 304 00:17:18,359 --> 00:17:21,040 Speaker 1: and then she was like, you know, I really didn't 305 00:17:21,040 --> 00:17:24,560 Speaker 1: want to come here and just win gold without doing 306 00:17:24,600 --> 00:17:27,080 Speaker 1: my best, and so she put up a final run 307 00:17:27,160 --> 00:17:30,040 Speaker 1: that like scored a ninety eight or something like that. 308 00:17:30,240 --> 00:17:32,600 Speaker 1: She blacked out because I think the one. I think 309 00:17:32,640 --> 00:17:35,040 Speaker 1: it's a Chinese snowboarder who was the only the closest 310 00:17:35,040 --> 00:17:36,720 Speaker 1: person to put press on her, and when she fucked 311 00:17:36,800 --> 00:17:38,879 Speaker 1: up her last trick, it was in the bag. And 312 00:17:38,880 --> 00:17:40,680 Speaker 1: then she went and she was like, alright, fuck it, 313 00:17:40,920 --> 00:17:43,880 Speaker 1: let me show you how Chloe Kim does. And yeah, 314 00:17:43,920 --> 00:17:48,439 Speaker 1: it was. She affected back ten eighty degree spins, which 315 00:17:48,920 --> 00:17:51,840 Speaker 1: again I'm not good enough at math to figure three 316 00:17:52,160 --> 00:17:56,959 Speaker 1: three spins, which that that's too many spins for somebody 317 00:17:57,000 --> 00:17:58,919 Speaker 1: to be able to do in the air and not 318 00:17:59,720 --> 00:18:01,639 Speaker 1: throw up on themselves. You can see why they came 319 00:18:01,720 --> 00:18:06,600 Speaker 1: up with euphemisms. So and she's doing one to three spins. 320 00:18:06,640 --> 00:18:12,280 Speaker 1: Three she did back to back three air spins, and 321 00:18:12,600 --> 00:18:16,800 Speaker 1: that's like six spins. That would be me if I 322 00:18:16,840 --> 00:18:20,399 Speaker 1: was an Olympics commentator. Sometimes they get too thick with 323 00:18:20,440 --> 00:18:23,320 Speaker 1: the lingo though, yeah, where I'm just like, what then, 324 00:18:23,400 --> 00:18:29,399 Speaker 1: does that mean you're like mel into nosebone. I mean 325 00:18:29,440 --> 00:18:31,720 Speaker 1: that ship looked dope. I don't want a rodeo flippers. 326 00:18:31,800 --> 00:18:38,520 Speaker 1: But both her and Sean White, yeah, the flying Tomato 327 00:18:39,359 --> 00:18:43,960 Speaker 1: both looked like we we talked yesterday about the Russian 328 00:18:44,040 --> 00:18:47,040 Speaker 1: figure skater who's like fifteen years old and who when 329 00:18:47,080 --> 00:18:50,600 Speaker 1: you watch her skate, you can just like it's your 330 00:18:50,640 --> 00:18:52,960 Speaker 1: eyes can tell the difference that she's like a level 331 00:18:53,000 --> 00:18:55,360 Speaker 1: above even if you don't know shit about figure skating. 332 00:18:55,440 --> 00:18:57,439 Speaker 1: And like, I had the same experience with Chloe Kim 333 00:18:57,560 --> 00:19:02,640 Speaker 1: and uh Sean White. We're both just they looked like 334 00:19:02,840 --> 00:19:06,560 Speaker 1: their bodies worked differently with gravity than the rest of them. 335 00:19:06,920 --> 00:19:09,439 Speaker 1: They spun much more. You could really see like people 336 00:19:09,800 --> 00:19:11,879 Speaker 1: torking their bodies to get the spin where you just 337 00:19:11,880 --> 00:19:14,359 Speaker 1: see them kind of cows. Just I'm spinning out of it. 338 00:19:14,720 --> 00:19:18,440 Speaker 1: And that is my expert commentary on Star. But yeah, 339 00:19:18,520 --> 00:19:20,720 Speaker 1: shout out to Chloe can. I can't imagine that it 340 00:19:20,800 --> 00:19:22,960 Speaker 1: was an easy thing for her to be like, No, 341 00:19:23,119 --> 00:19:26,600 Speaker 1: I don't want to play violin and piano, mom and dad, 342 00:19:26,640 --> 00:19:31,200 Speaker 1: I wanna do snowboarding. Yeah, I felt bad as a 343 00:19:31,200 --> 00:19:33,560 Speaker 1: as an Asian kid. I felt like even the gold 344 00:19:33,600 --> 00:19:37,320 Speaker 1: medal might not be good enough for her. Did my mom? 345 00:19:37,440 --> 00:19:39,280 Speaker 1: She was like, what school did you go to? Like 346 00:19:39,359 --> 00:19:45,359 Speaker 1: what she's school? Well, we'll see, Uh, well should be Harvard. 347 00:19:45,400 --> 00:19:47,280 Speaker 1: I'm like, I don't look, Mom, I didn't go there. 348 00:19:47,359 --> 00:19:49,320 Speaker 1: And she's like, that's why we don't talk. Get her 349 00:19:49,359 --> 00:19:51,840 Speaker 1: into her Yeah, She's like, I love the Zeit guy still, 350 00:19:52,520 --> 00:19:55,440 Speaker 1: and then really quickly I wanted to talk about this 351 00:19:55,800 --> 00:19:58,280 Speaker 1: other Russian figure skater, not the fifteen year old we 352 00:19:58,280 --> 00:20:00,919 Speaker 1: were talking about before. She isn't eighteen year old. Her 353 00:20:01,000 --> 00:20:07,119 Speaker 1: name is Evgenia med Vedeva. Uh, I don't I hope 354 00:20:07,480 --> 00:20:16,720 Speaker 1: nailed it. Who you're doing? If Jania my wife, she was, uh, 355 00:20:17,000 --> 00:20:20,560 Speaker 1: if you're watching NBC's enhanced coverage of events. So she won, 356 00:20:20,960 --> 00:20:24,040 Speaker 1: Golder came in first and qualifying. I'm not sure which 357 00:20:24,040 --> 00:20:29,080 Speaker 1: it was, but uh. She explained on NBC's Enhanced coverage 358 00:20:29,080 --> 00:20:33,760 Speaker 1: of the events that her short program is about quote 359 00:20:33,800 --> 00:20:36,600 Speaker 1: the flight of the soul as it leaves someone's body 360 00:20:36,680 --> 00:20:41,639 Speaker 1: at the point of clinical death. Um, which I was 361 00:20:41,760 --> 00:20:46,120 Speaker 1: amazed by and loved, and apparently the judges did too, 362 00:20:46,119 --> 00:20:48,400 Speaker 1: because she got the highest score ever for a Lady 363 00:20:48,480 --> 00:20:55,680 Speaker 1: Short program. But apparently she also had a previous routine 364 00:20:56,160 --> 00:21:00,800 Speaker 1: set to the soundtrack from Extremely Loud and Incredibly Close. Uh, 365 00:21:00,840 --> 00:21:03,720 Speaker 1: and I think we have some of the audio from that. 366 00:21:09,200 --> 00:21:21,440 Speaker 1: It's a very nice piano piece. What is sad at 367 00:21:21,440 --> 00:21:33,600 Speaker 1: George Bush? Yeah, that was George Bush saying yes, those 368 00:21:33,640 --> 00:21:36,600 Speaker 1: are the sounds of nine eleven. That she figure skated 369 00:21:36,640 --> 00:21:39,880 Speaker 1: two and choreographed her routine too in the past. So 370 00:21:39,960 --> 00:21:43,560 Speaker 1: she is like the dark soul of figure skating. But 371 00:21:43,640 --> 00:21:46,119 Speaker 1: she's pretty badass. It's worth watching her. She it's a 372 00:21:46,160 --> 00:21:48,560 Speaker 1: wild and watch to see someone figure skate with nine 373 00:21:48,560 --> 00:21:52,280 Speaker 1: eleven like, because she's really elegant and graceful. And then 374 00:21:52,920 --> 00:21:55,560 Speaker 1: an important note, that routine like killed for her, right, 375 00:21:55,640 --> 00:21:58,120 Speaker 1: it crashed. It's not like she did that and she's 376 00:21:58,200 --> 00:22:02,080 Speaker 1: the weird outcast. No, this is her thing. Yeah, uh 377 00:22:02,359 --> 00:22:08,680 Speaker 1: and fields, but when you see her, like when, h 378 00:22:09,440 --> 00:22:11,560 Speaker 1: who is it yesterday or the day before she was 379 00:22:11,600 --> 00:22:14,760 Speaker 1: watching her teammates skate, she just looks like the like 380 00:22:14,800 --> 00:22:17,720 Speaker 1: the most brightest, bubbliest person. And then to that no, 381 00:22:18,000 --> 00:22:20,240 Speaker 1: like deep down she's like I only skate to the 382 00:22:20,280 --> 00:22:25,320 Speaker 1: sounds of Yeah. No, she that she is pure Russia, 383 00:22:25,440 --> 00:22:29,480 Speaker 1: like on the surface, just completely calm, cool, collected, looks 384 00:22:29,520 --> 00:22:32,919 Speaker 1: like a happy teenager. And then she is just but 385 00:22:33,119 --> 00:22:35,840 Speaker 1: nothing matters because life is death and we will all 386 00:22:35,880 --> 00:22:39,480 Speaker 1: die alone in darkness is sort of the vibe. I 387 00:22:39,560 --> 00:22:44,560 Speaker 1: am just learning this now. I'm so sorry. Yes, we 388 00:22:44,720 --> 00:22:49,280 Speaker 1: do all die alone. All right, that's gonna do it 389 00:22:49,320 --> 00:22:53,159 Speaker 1: for our first section. I hope you learned something too, 390 00:22:53,320 --> 00:23:04,359 Speaker 1: and we'll be right back after this. And we're back, 391 00:23:05,040 --> 00:23:09,280 Speaker 1: and we wanted to talk about just ways that the 392 00:23:09,320 --> 00:23:14,280 Speaker 1: government is finding too. Uh funk the little guy. And 393 00:23:14,560 --> 00:23:18,720 Speaker 1: there's a handful of stories coming together neatly for our theme. 394 00:23:18,760 --> 00:23:22,000 Speaker 1: We're always hoping that we'll get a nice cohesive theme. Uh. 395 00:23:22,080 --> 00:23:26,160 Speaker 1: And the government cooperated by just fucking over consumers start 396 00:23:26,240 --> 00:23:29,960 Speaker 1: up the outraised machine. Yeah, thank you, thank you Trump administration. 397 00:23:30,320 --> 00:23:32,360 Speaker 1: Uh So, Miles, I came in this morning. I said, 398 00:23:32,400 --> 00:23:35,520 Speaker 1: did you hear about the change to snap And I 399 00:23:35,560 --> 00:23:38,000 Speaker 1: was like, yo, people are heated. Uh the layout of 400 00:23:38,000 --> 00:23:41,160 Speaker 1: the new Snapchat is pretty whack and people are really 401 00:23:41,200 --> 00:23:43,200 Speaker 1: fucked up over it. And I said, I don't really 402 00:23:43,200 --> 00:23:46,560 Speaker 1: focus Snapchat, but I guess I guess the kids are upset, right, 403 00:23:46,920 --> 00:23:50,480 Speaker 1: which is apparently a thing that is happening. Uh Anna 404 00:23:50,600 --> 00:23:54,879 Speaker 1: yesterday was you know, super producer Anna hosny A being 405 00:23:55,320 --> 00:23:58,080 Speaker 1: one of the kids herself, was like mad about it 406 00:23:58,200 --> 00:24:02,359 Speaker 1: and uh said it wasn't lit, which is the worst 407 00:24:02,359 --> 00:24:07,200 Speaker 1: thing somebody of that generation can say. Um, but that 408 00:24:07,320 --> 00:24:11,560 Speaker 1: is a proper normanquation, so uh snap. Being also the 409 00:24:11,600 --> 00:24:17,040 Speaker 1: food stamp program, you meant supplemental nutrition assistance program, so 410 00:24:17,359 --> 00:24:22,359 Speaker 1: uh yeah, that's fucked up to yea. So the Trump 411 00:24:22,359 --> 00:24:26,760 Speaker 1: administration announced that they would like to change the food 412 00:24:26,800 --> 00:24:30,920 Speaker 1: stamp allowances, which nobody has had a complaint with other 413 00:24:30,960 --> 00:24:34,080 Speaker 1: than you know, extreme extreme right wing people who still 414 00:24:34,080 --> 00:24:36,760 Speaker 1: believe that welfare queens are a thing, which they're not. 415 00:24:36,920 --> 00:24:40,320 Speaker 1: That was just a false story during the Reagan administration. 416 00:24:40,800 --> 00:24:45,440 Speaker 1: So they think that people are getting by too easily 417 00:24:45,480 --> 00:24:50,639 Speaker 1: on food stamps, and what they're proposing is to basically 418 00:24:50,720 --> 00:24:53,720 Speaker 1: replace food stamps, or at least a big portion of 419 00:24:53,720 --> 00:24:57,600 Speaker 1: food stamps, with a program where they ship canned food 420 00:24:57,960 --> 00:25:01,800 Speaker 1: to people who would previously be able to go to 421 00:25:01,840 --> 00:25:05,440 Speaker 1: the store and use food stamps to buy food for themselves. 422 00:25:05,480 --> 00:25:09,560 Speaker 1: As mcmulviny says, a blue Apron type. That's okay. How 423 00:25:09,640 --> 00:25:12,080 Speaker 1: in one way is that Blue Apron that food is 424 00:25:12,080 --> 00:25:18,440 Speaker 1: being shipped to that any and there's enough box fresh nothing. 425 00:25:18,840 --> 00:25:23,120 Speaker 1: It's it's a predetermined diet that the government will send 426 00:25:23,119 --> 00:25:27,639 Speaker 1: to you with things like peanut butter and pasta, shelf 427 00:25:27,680 --> 00:25:32,640 Speaker 1: stable milk, oh yum, canned meats and fruits and cereal. Yeah, 428 00:25:32,680 --> 00:25:35,800 Speaker 1: no fresh vegetables or meat, which that's usually what's in 429 00:25:35,800 --> 00:25:38,240 Speaker 1: a regular Blue Apron. I'm sure they'd be super receptive 430 00:25:38,280 --> 00:25:41,080 Speaker 1: to people who have like peanut allergies or whatever. I'm 431 00:25:41,080 --> 00:25:43,560 Speaker 1: sure the government would be great at I don't under 432 00:25:44,359 --> 00:25:47,639 Speaker 1: what's even The proposed upside is that cheaper than the 433 00:25:47,680 --> 00:25:50,359 Speaker 1: food stamps program. So what they're saying is that that 434 00:25:50,400 --> 00:25:55,280 Speaker 1: would allow them to buy food at like in mass quantities, 435 00:25:55,359 --> 00:25:57,359 Speaker 1: and that that would like give them a price break, 436 00:25:57,640 --> 00:26:01,760 Speaker 1: like at half the cost exactly. But they're not counting 437 00:26:02,000 --> 00:26:05,440 Speaker 1: all of the difficulties of like shipping. Like people pointed 438 00:26:05,480 --> 00:26:09,040 Speaker 1: out that Blue Apron had a really rough financial year 439 00:26:09,119 --> 00:26:14,080 Speaker 1: last year because it's just incredibly expensive to do what 440 00:26:14,119 --> 00:26:17,520 Speaker 1: they do, like send food to people and you know, 441 00:26:17,640 --> 00:26:21,439 Speaker 1: give people any choice or like a good user experience 442 00:26:21,440 --> 00:26:24,720 Speaker 1: and deliver that food on time. Um, So this goes 443 00:26:24,760 --> 00:26:29,440 Speaker 1: against all research in uh sort of charity and how 444 00:26:29,520 --> 00:26:32,200 Speaker 1: we give charity to other countries, how we give charity 445 00:26:32,240 --> 00:26:35,360 Speaker 1: inside our own country has been leading in the opposite 446 00:26:35,400 --> 00:26:38,520 Speaker 1: direction of this. It's basically been saying we would much 447 00:26:38,600 --> 00:26:42,080 Speaker 1: prefer that you give people money or give the charity 448 00:26:42,119 --> 00:26:44,680 Speaker 1: money so that we can redistribute that money to people, 449 00:26:44,720 --> 00:26:48,359 Speaker 1: because the best form of charity and the most effective 450 00:26:48,520 --> 00:26:51,919 Speaker 1: way to help people is by giving them money because 451 00:26:51,960 --> 00:26:55,600 Speaker 1: they know what they need, like whereas canned food drives 452 00:26:55,640 --> 00:26:58,399 Speaker 1: like people might not need canned food, or they might 453 00:26:58,440 --> 00:27:00,800 Speaker 1: not need like beef stoop be stu might not be 454 00:27:00,840 --> 00:27:03,320 Speaker 1: good for them they have an infant. I don't need 455 00:27:03,359 --> 00:27:06,800 Speaker 1: peaches in light syrup because I have glaucoma. Exactly what 456 00:27:06,840 --> 00:27:10,240 Speaker 1: I need. I think it's important to highlight this is 457 00:27:10,280 --> 00:27:12,920 Speaker 1: not the people who are members of the program saying 458 00:27:13,119 --> 00:27:15,640 Speaker 1: like we need money instead of food, all just send 459 00:27:15,680 --> 00:27:19,560 Speaker 1: us cash. These are people whose interest is what would 460 00:27:19,560 --> 00:27:22,800 Speaker 1: make the best outcome for all of society, including economically. 461 00:27:23,240 --> 00:27:26,159 Speaker 1: These are studies. So it's like, how do you not 462 00:27:26,280 --> 00:27:29,120 Speaker 1: foresee the downstream costs if you're shipping all of your 463 00:27:29,200 --> 00:27:33,160 Speaker 1: poorest citizens boxes and boxes of peanut butter and cling peaches. 464 00:27:33,440 --> 00:27:36,199 Speaker 1: There's huge downstream costs there, you know, with the deserts 465 00:27:36,200 --> 00:27:39,080 Speaker 1: and health care costs. That's insane. And even with the 466 00:27:39,119 --> 00:27:42,720 Speaker 1: proposed idea, they expect the states to shoulder all the 467 00:27:42,760 --> 00:27:45,080 Speaker 1: cost of distributing and putting the thing together. So it's like, 468 00:27:45,080 --> 00:27:47,680 Speaker 1: it's just this fucking idea. It's not even a real thing. 469 00:27:47,720 --> 00:27:50,080 Speaker 1: It's just like, let's just see what people think so 470 00:27:50,119 --> 00:27:53,160 Speaker 1: we can, you know, further help people who are poor 471 00:27:53,320 --> 00:27:56,840 Speaker 1: feel ashamed of their situation, right, and the disparity is 472 00:27:56,920 --> 00:28:01,280 Speaker 1: so bizarrely heightened in our country that it's like, Whyatt 473 00:28:01,280 --> 00:28:03,959 Speaker 1: Coke could probably just pay for this program out of 474 00:28:03,960 --> 00:28:08,160 Speaker 1: his pocket. For some reason, this program made me think 475 00:28:08,200 --> 00:28:12,320 Speaker 1: of Whyatt Coke too, Because the central ethos of this 476 00:28:12,640 --> 00:28:17,359 Speaker 1: is rich white Republicans who think they know what's best 477 00:28:17,480 --> 00:28:21,040 Speaker 1: for other people, and that the problem poor people have 478 00:28:21,400 --> 00:28:25,000 Speaker 1: is that they have too much control over their own 479 00:28:25,000 --> 00:28:27,880 Speaker 1: decision making and that they just aren't like smart enough 480 00:28:28,080 --> 00:28:32,119 Speaker 1: or capable enough to make smart decisions for themselves, and 481 00:28:32,160 --> 00:28:35,440 Speaker 1: so that the real problem is that you know, they 482 00:28:35,520 --> 00:28:39,880 Speaker 1: need to make those decisions for them uh, Whereas it's just, 483 00:28:40,200 --> 00:28:43,280 Speaker 1: you know, every study will tell you the real problem 484 00:28:43,320 --> 00:28:46,640 Speaker 1: is that they have been you know, institutionally discriminated against 485 00:28:46,680 --> 00:28:49,120 Speaker 1: both you know, poor white people, poor black people have 486 00:28:49,200 --> 00:28:53,280 Speaker 1: been institutionally discriminated against. Uh. And America is not a 487 00:28:53,360 --> 00:28:58,320 Speaker 1: particularly socially mobile society. Like Americans think that it's all 488 00:28:58,360 --> 00:29:00,560 Speaker 1: based on, you know, how hard you work and how 489 00:29:00,640 --> 00:29:02,400 Speaker 1: much you're willing to pull yourself up, but says it 490 00:29:02,480 --> 00:29:10,760 Speaker 1: is on the box, the box of America. Right there, 491 00:29:11,160 --> 00:29:14,320 Speaker 1: there was a Paul Ryan quote from earlier in the 492 00:29:14,400 --> 00:29:17,880 Speaker 1: year where he was saying, like, where you are born 493 00:29:18,320 --> 00:29:20,880 Speaker 1: has nothing to do with where you end up in America. 494 00:29:21,880 --> 00:29:25,440 Speaker 1: So the economist came back and was like, you know, 495 00:29:25,560 --> 00:29:30,040 Speaker 1: compared to America, to other countries like Finland, Norway, Denmark, 496 00:29:30,080 --> 00:29:36,600 Speaker 1: other Western countries, countries relatively egalitarian. Uh And basically what 497 00:29:36,680 --> 00:29:41,280 Speaker 1: your father makes allows people to tell within twenty percent 498 00:29:41,560 --> 00:29:44,720 Speaker 1: what you'll end up making in those countries, whereas in 499 00:29:44,760 --> 00:29:49,600 Speaker 1: America it's fifty. So it's like way more deterministic in 500 00:29:49,640 --> 00:29:53,840 Speaker 1: the United States, UM than in other Western countries that 501 00:29:53,920 --> 00:29:57,280 Speaker 1: have more like socialist policies what we would consider to 502 00:29:57,320 --> 00:30:00,200 Speaker 1: be socialist. Now it's conflicted with capitalism because you know, 503 00:30:00,280 --> 00:30:03,640 Speaker 1: the huge opponents of this shitty blue apron for pores 504 00:30:03,760 --> 00:30:07,920 Speaker 1: program is the Food Marketing Institute, which is the largest 505 00:30:07,960 --> 00:30:12,000 Speaker 1: like the lobbying group for supermarkets, right, food trying to 506 00:30:12,040 --> 00:30:14,160 Speaker 1: unload their cans like you are when you go to 507 00:30:14,160 --> 00:30:16,320 Speaker 1: the canned food drive and give all the bullshit. They're like, 508 00:30:16,480 --> 00:30:18,560 Speaker 1: you're gonna send people boxes. They will not buy at 509 00:30:18,560 --> 00:30:20,680 Speaker 1: the fucking stores, So what the are you gonna do? 510 00:30:20,760 --> 00:30:23,440 Speaker 1: So this is a place where Walmart is actually on 511 00:30:23,520 --> 00:30:26,960 Speaker 1: the people's side, right, Like we like EBT because that 512 00:30:27,000 --> 00:30:29,440 Speaker 1: means we get the money. Right. So it's utterly just 513 00:30:29,440 --> 00:30:30,800 Speaker 1: a fight of who's gonna get the money? Is it 514 00:30:30,880 --> 00:30:33,320 Speaker 1: the canned food people or the food retail It's big 515 00:30:33,360 --> 00:30:36,800 Speaker 1: box you guys, and box factories all over the country 516 00:30:36,920 --> 00:30:39,720 Speaker 1: just trying to get everything box in box. Dude. I 517 00:30:39,760 --> 00:30:42,680 Speaker 1: bet box business is booming. Yeah, there's yeah, you see 518 00:30:42,720 --> 00:30:46,160 Speaker 1: boxes on the rise lately. All right, let's talk about 519 00:30:46,200 --> 00:30:51,080 Speaker 1: another policy that the Trump administration released yesterday. So the 520 00:30:51,120 --> 00:30:56,920 Speaker 1: Consumer Financial Protection Bureau UH has spent the past you know, 521 00:30:57,000 --> 00:30:59,880 Speaker 1: it was created by Elizabeth Warren back when she was 522 00:31:00,480 --> 00:31:06,120 Speaker 1: a professor at Harvard, socialist cook, rightist cock Elizabeth Warren, 523 00:31:06,520 --> 00:31:10,000 Speaker 1: and it was basically after the financial crisis. You know, 524 00:31:10,160 --> 00:31:15,320 Speaker 1: they saw all of this rampant corruption within the financial industry, 525 00:31:15,400 --> 00:31:19,760 Speaker 1: and they decided to create an independent agency that was 526 00:31:19,800 --> 00:31:25,600 Speaker 1: able to look at financial services and you know, fine 527 00:31:26,360 --> 00:31:31,000 Speaker 1: companies if they did shady ship. And so far since 528 00:31:31,040 --> 00:31:33,040 Speaker 1: they were instituted in two thousand and ten, they've given 529 00:31:33,040 --> 00:31:36,680 Speaker 1: back eleven point eight billion dollars to twenty nine million 530 00:31:36,760 --> 00:31:39,320 Speaker 1: consumers since two thousand eleven, So that's an average of 531 00:31:39,360 --> 00:31:43,080 Speaker 1: four dred and seven dollars returned to roughly nine percent 532 00:31:43,280 --> 00:31:47,160 Speaker 1: of the US population. So they're like helping people out, 533 00:31:47,240 --> 00:31:51,560 Speaker 1: like that's giving their hurting the banks. So that's that 534 00:31:51,720 --> 00:31:58,320 Speaker 1: is the fargo jack. The very extremely wealthy UH financial 535 00:31:58,360 --> 00:32:01,360 Speaker 1: companies that are like making wreck heard profits in the 536 00:32:01,400 --> 00:32:06,000 Speaker 1: past ten years have claimed that this agency is making 537 00:32:06,000 --> 00:32:09,800 Speaker 1: it impossible for them to do business. And so when 538 00:32:09,800 --> 00:32:13,120 Speaker 1: Trump came into power, he put mc muldhaney UH in 539 00:32:13,800 --> 00:32:19,880 Speaker 1: charge of the CFPB, and he fucking hates the CFPB. 540 00:32:20,040 --> 00:32:23,400 Speaker 1: Has come out and specifically said in the past that 541 00:32:23,520 --> 00:32:27,840 Speaker 1: like he thinks it shouldn't exist, and so he and 542 00:32:28,080 --> 00:32:30,640 Speaker 1: that's all Trump does. Though It's like I expected, as 543 00:32:30,640 --> 00:32:33,200 Speaker 1: Secretary Interior to just be someone who's like I only 544 00:32:33,240 --> 00:32:37,400 Speaker 1: go outside, I never enter a building, Like everything is 545 00:32:37,440 --> 00:32:41,680 Speaker 1: just bizarro opposite world, as if you're a kid with 546 00:32:41,760 --> 00:32:45,600 Speaker 1: blocks and holes and you're matching them to the opposite shape. 547 00:32:45,640 --> 00:32:49,360 Speaker 1: It's just so insane. Yeah. Yeah. The new head of 548 00:32:49,360 --> 00:32:54,680 Speaker 1: CFPB a Daddy Warbucks, right, yeah. Uh so their policies 549 00:32:54,680 --> 00:32:59,800 Speaker 1: surprisingly Uh he recently requested a zero dollar budget for 550 00:33:00,080 --> 00:33:03,360 Speaker 1: the January of March one, saying the bureau would draw 551 00:33:03,480 --> 00:33:09,280 Speaker 1: on their reserves instead because they're apparently just crushing it financially. 552 00:33:09,440 --> 00:33:12,480 Speaker 1: And then, uh, they are trying to change it so 553 00:33:12,600 --> 00:33:16,040 Speaker 1: that they are overseen by Congress. The whole idea is 554 00:33:16,120 --> 00:33:19,680 Speaker 1: that they're overseen by the Federal Reserve and so they 555 00:33:19,720 --> 00:33:25,200 Speaker 1: have independent funding, so like Republican democratic squabbling cannot get 556 00:33:25,200 --> 00:33:28,000 Speaker 1: in the way of them doing their job, and they're 557 00:33:28,080 --> 00:33:31,280 Speaker 1: basically trying to change that so that they are funded 558 00:33:31,320 --> 00:33:35,560 Speaker 1: by Congress. Yeah yeah, yeah, So it'll effectively be the 559 00:33:35,600 --> 00:33:39,600 Speaker 1: death of this agency that was in place for a 560 00:33:39,680 --> 00:33:43,560 Speaker 1: very brief time and actually giving money back to consumers. 561 00:33:43,560 --> 00:33:45,280 Speaker 1: That could be a slippery slope because if they lose 562 00:33:45,280 --> 00:33:49,240 Speaker 1: the house, uh, you know, she could change, but we'll see. Yeah, 563 00:33:49,240 --> 00:33:54,720 Speaker 1: it's weird how many organizations that get insanely profitable use 564 00:33:54,760 --> 00:33:59,520 Speaker 1: those profits to craft allowed narrative that they're poor, like 565 00:33:59,600 --> 00:34:02,240 Speaker 1: that they catch or break or make any money. And 566 00:34:02,280 --> 00:34:05,280 Speaker 1: it's like, yeah, but you're crafting that narrative with a 567 00:34:05,320 --> 00:34:08,960 Speaker 1: team of highly paid obviyoists. It's a self defeating argument. 568 00:34:09,560 --> 00:34:12,160 Speaker 1: It's a difficult argument because you know, people in the 569 00:34:12,200 --> 00:34:16,360 Speaker 1: financial industry will just tell you know, but you have 570 00:34:16,400 --> 00:34:19,000 Speaker 1: to understand, like this bureau is like the worst. And 571 00:34:19,239 --> 00:34:20,839 Speaker 1: you know, I know a lot of these people and 572 00:34:20,880 --> 00:34:24,840 Speaker 1: they argue it with conviction, and like I can't argue 573 00:34:24,880 --> 00:34:28,560 Speaker 1: with them because it's like they're saying, you don't speak Chinese. 574 00:34:28,640 --> 00:34:30,960 Speaker 1: This person saying a crazy thing in Chinese, So you 575 00:34:31,040 --> 00:34:32,880 Speaker 1: just have to trust me, and like I I don't. 576 00:34:33,120 --> 00:34:35,960 Speaker 1: I'm like, okay, fine, Yeah, the banks are hurting. Man. 577 00:34:36,000 --> 00:34:37,640 Speaker 1: You know, I was trying to explain to my kids. Man, 578 00:34:37,680 --> 00:34:40,960 Speaker 1: they gotta ge an iPhone six, right, I mean success, 579 00:34:41,080 --> 00:34:46,120 Speaker 1: but you know your kids that it's true. Uh, the 580 00:34:46,120 --> 00:34:49,440 Speaker 1: iPhone six sucks. My kid has to drive a used 581 00:34:49,640 --> 00:34:54,720 Speaker 1: range rover. Okay, it is embarrassing. So uh, finally for 582 00:34:55,160 --> 00:34:59,719 Speaker 1: a bit of inspirational truth to power the West Virginia 583 00:35:00,160 --> 00:35:04,799 Speaker 1: house floor, a young woman who is running to be 584 00:35:04,880 --> 00:35:09,319 Speaker 1: a state delegate in that state. Uh, Lissa Lucas l 585 00:35:09,320 --> 00:35:13,320 Speaker 1: I S. S. A. Lucas is a Democrat. She's trying 586 00:35:13,320 --> 00:35:15,879 Speaker 1: to run for the House of Delegates. She got up 587 00:35:15,920 --> 00:35:19,640 Speaker 1: to speak on a bill that was about to be 588 00:35:19,719 --> 00:35:22,840 Speaker 1: voted on, and she was pointing out that, you know, 589 00:35:22,920 --> 00:35:25,000 Speaker 1: the people who were voting on this bill to a 590 00:35:25,080 --> 00:35:30,640 Speaker 1: large degree, had been funded by the energy industry. And 591 00:35:31,200 --> 00:35:34,759 Speaker 1: uh so here, let's let's listen to how how her 592 00:35:34,880 --> 00:35:37,400 Speaker 1: testimony went. Um. I'd also like to point out that 593 00:35:37,440 --> 00:35:39,680 Speaker 1: the people who are going to be speaking in favor 594 00:35:39,719 --> 00:35:42,200 Speaker 1: of this bill are all going to be paid by 595 00:35:42,239 --> 00:35:44,840 Speaker 1: the industry, and we're going to be voting on this 596 00:35:44,960 --> 00:35:48,480 Speaker 1: bill are also often paid by the industry. For example, 597 00:35:48,760 --> 00:35:53,880 Speaker 1: on the Judiciary Committee, Charlotte Lane about ten thousand dollars 598 00:35:53,960 --> 00:35:58,040 Speaker 1: from gas and oil interests, including a EP Marathon, First 599 00:35:58,120 --> 00:36:02,400 Speaker 1: Energy Dominion e QT and I could go on. Next, 600 00:36:02,520 --> 00:36:05,839 Speaker 1: let's talk about John Shot from Mercer. These are all 601 00:36:05,880 --> 00:36:09,000 Speaker 1: people who are in two thousand dollars, Appalachian Power two 602 00:36:09,000 --> 00:36:16,960 Speaker 1: thousand dollars, step Tuning Johnson, that energy one thousand, EQUT 603 00:36:17,280 --> 00:36:20,520 Speaker 1: one thousand, and I could go on. Now, let's talk 604 00:36:20,520 --> 00:36:23,120 Speaker 1: about Jason Harsh bark. Let's talk about James this, Lucas, 605 00:36:23,320 --> 00:36:28,280 Speaker 1: we asked no personal comments. Personal comments is a personal comment, 606 00:36:28,360 --> 00:36:29,799 Speaker 1: and I'm going to call you out of order. If 607 00:36:29,800 --> 00:36:33,640 Speaker 1: you're talking about a committee, do not question big brother, 608 00:36:33,880 --> 00:36:37,080 Speaker 1: address the bill. If not, I asked you to please 609 00:36:37,120 --> 00:36:40,040 Speaker 1: step down. It's now they're turning off her min Yeah, 610 00:36:40,120 --> 00:36:46,160 Speaker 1: she's still talking about the about his money. Not only 611 00:36:46,280 --> 00:36:49,879 Speaker 1: is politics all fake, it's so antithetical to reality. When 612 00:36:49,920 --> 00:36:52,040 Speaker 1: someone's just like, look, we all know what the fuss 613 00:36:52,080 --> 00:36:54,319 Speaker 1: going on, let me just lay it out. Everyone's like, 614 00:36:54,360 --> 00:36:58,439 Speaker 1: get them out of the show. The illusion his dropic. Yeah, 615 00:36:58,680 --> 00:37:00,920 Speaker 1: it's like turning the lights on at the club. You 616 00:37:01,000 --> 00:37:03,879 Speaker 1: know you don't want to see that, But sometimes that's 617 00:37:03,920 --> 00:37:07,000 Speaker 1: that's the truth, ruth Right. And at the end, they're 618 00:37:07,080 --> 00:37:10,600 Speaker 1: two big fat, old white dudes came up and like 619 00:37:10,680 --> 00:37:13,799 Speaker 1: basically carted her off by her arm, kind of like 620 00:37:14,040 --> 00:37:16,080 Speaker 1: strong arm in her, which was always been like, yo, 621 00:37:16,239 --> 00:37:18,560 Speaker 1: don't put your hands on her like that. Just cut 622 00:37:18,560 --> 00:37:20,120 Speaker 1: her mike off and then you can have a police 623 00:37:20,120 --> 00:37:22,200 Speaker 1: officer do something, but don't send your goons up there, 624 00:37:22,200 --> 00:37:24,200 Speaker 1: who are probably the same guys she probably called out, 625 00:37:24,560 --> 00:37:26,200 Speaker 1: like all right, come on, we've heard enough, we've heard 626 00:37:26,280 --> 00:37:29,879 Speaker 1: enough reality. By the way, Jason Harshberger, the person who 627 00:37:29,920 --> 00:37:32,120 Speaker 1: she was about to talk about is who she is 628 00:37:32,239 --> 00:37:35,840 Speaker 1: running against. He's a Republican who she's running against in 629 00:37:36,400 --> 00:37:40,200 Speaker 1: the upcoming election, so they did not want her speaking 630 00:37:40,239 --> 00:37:42,680 Speaker 1: on his name. But see, that's good. You know that 631 00:37:42,760 --> 00:37:45,280 Speaker 1: it's good to see people, you know, at least especially 632 00:37:45,280 --> 00:37:47,040 Speaker 1: in a state like that in West Virginia that is 633 00:37:47,239 --> 00:37:49,439 Speaker 1: very dependent on the coal and things like that, where 634 00:37:49,440 --> 00:37:52,200 Speaker 1: there are people who are trying to run who see 635 00:37:52,239 --> 00:37:55,640 Speaker 1: the imbalance of power in that state. Uh. And just 636 00:37:55,719 --> 00:37:57,399 Speaker 1: in general, you know, good to see people going out 637 00:37:57,600 --> 00:37:59,640 Speaker 1: and just trying to talk that ship because we need 638 00:37:59,680 --> 00:38:04,719 Speaker 1: more speaking that truth to power. Uh. And finally, just 639 00:38:05,120 --> 00:38:07,800 Speaker 1: some sort of legislative stuff. This was something I was 640 00:38:07,800 --> 00:38:11,239 Speaker 1: wondering about earlier. I know that this was the week 641 00:38:11,320 --> 00:38:14,879 Speaker 1: that we were supposed to hear about immigration, and uh, 642 00:38:15,000 --> 00:38:19,400 Speaker 1: Congress was the Senate was supposed to actually talk about immigration. 643 00:38:19,520 --> 00:38:21,880 Speaker 1: Put up for debate. What's going on with that Moss? 644 00:38:21,920 --> 00:38:25,640 Speaker 1: So Monday they Chuck Grassley and Republicans they put a 645 00:38:25,680 --> 00:38:28,600 Speaker 1: bill for that definitely follows the framework that Trump was 646 00:38:28,640 --> 00:38:31,560 Speaker 1: saying that he wanted, which is essentially, like you know, 647 00:38:31,600 --> 00:38:34,800 Speaker 1: if you want citizenship for some of these doc eligible people, 648 00:38:35,120 --> 00:38:37,760 Speaker 1: then I want border money and I want to cut 649 00:38:37,800 --> 00:38:40,280 Speaker 1: down legal immigration. So this thing creates like a twenty 650 00:38:40,520 --> 00:38:43,000 Speaker 1: billion dollar like trust fund sort of thing to create 651 00:38:43,000 --> 00:38:46,440 Speaker 1: the wall in border security. Then it also limits legal 652 00:38:46,440 --> 00:38:49,719 Speaker 1: immigration like uh, you know, just family reunification and the 653 00:38:49,800 --> 00:38:53,279 Speaker 1: visa diversity of lottery, uh, as well as tightening like 654 00:38:53,320 --> 00:38:58,080 Speaker 1: immigration enforcement within our country within the borders. And so 655 00:38:58,680 --> 00:39:00,719 Speaker 1: it's a bill that is probably not going to get 656 00:39:00,719 --> 00:39:03,440 Speaker 1: the sixty votes they need because it's just pure factory 657 00:39:03,480 --> 00:39:04,880 Speaker 1: and it's just like, all right, we'll fine, we'll give 658 00:39:04,920 --> 00:39:06,359 Speaker 1: you this thing, but we also want all the ship 659 00:39:06,400 --> 00:39:09,359 Speaker 1: that you're against also, so it's not much of a deal. 660 00:39:09,600 --> 00:39:11,879 Speaker 1: And again, they need sixty votes, and that means they're 661 00:39:11,880 --> 00:39:14,080 Speaker 1: gonna need it probably nine Democrats at least to get 662 00:39:14,120 --> 00:39:17,440 Speaker 1: this thing over the line, which seems pretty unlikely because 663 00:39:17,800 --> 00:39:21,240 Speaker 1: Mitch McConnell said, when we tried to avert the last shutdown, 664 00:39:21,360 --> 00:39:23,600 Speaker 1: was like, look, okay, we'll have an open discussion on 665 00:39:23,640 --> 00:39:26,080 Speaker 1: the floor, we can submit amendments, and we can do 666 00:39:26,120 --> 00:39:29,680 Speaker 1: this the right way. But suddenly now this morning he's 667 00:39:29,680 --> 00:39:32,640 Speaker 1: telling people that he wants the entire debate with like 668 00:39:32,719 --> 00:39:36,320 Speaker 1: all the other competing proposals that like Democrats and Republicans 669 00:39:36,360 --> 00:39:38,040 Speaker 1: are putting forward. He wants it to be done by 670 00:39:38,040 --> 00:39:41,400 Speaker 1: the end of this week or it's off. And the 671 00:39:41,440 --> 00:39:44,360 Speaker 1: Senate usually wraps up their business by end of day Thursday. 672 00:39:44,640 --> 00:39:47,200 Speaker 1: So that's less than three full days to solve a 673 00:39:47,280 --> 00:39:51,480 Speaker 1: decades old issue. Uh So it's very I don't know, man. Again, 674 00:39:51,719 --> 00:39:54,239 Speaker 1: we were saying this, Mitch McConnell is a piece of ship, 675 00:39:54,440 --> 00:39:56,600 Speaker 1: and I don't care what he says. Even he's like, well, 676 00:39:56,640 --> 00:39:58,839 Speaker 1: I'll promise to not fuck you, dude, Like we knew 677 00:39:58,880 --> 00:40:01,000 Speaker 1: you're gonna do a dirty You always lie, You lie 678 00:40:01,080 --> 00:40:04,640 Speaker 1: straight to people's faces. I feel like Dick Durbin was 679 00:40:04,680 --> 00:40:06,480 Speaker 1: like telling him. He's like, yo, I defended you to 680 00:40:06,560 --> 00:40:09,279 Speaker 1: people who are really skeptical. Don't do this now. You 681 00:40:09,360 --> 00:40:12,160 Speaker 1: promised this, like to have this open discussion and we 682 00:40:12,200 --> 00:40:16,680 Speaker 1: can actually deliberate properly like a bipartisan the greatest deliberative 683 00:40:16,719 --> 00:40:20,279 Speaker 1: body in the land can do. And it's just when 684 00:40:20,280 --> 00:40:23,200 Speaker 1: you really couple that with the like you know, the 685 00:40:23,239 --> 00:40:27,080 Speaker 1: GOP was blocking out months for debate and discussion over 686 00:40:27,120 --> 00:40:30,239 Speaker 1: gutting Obamacare and trying to do that many times and 687 00:40:30,280 --> 00:40:34,200 Speaker 1: trying to pass that god awful tax scam that's suddenly 688 00:40:34,200 --> 00:40:36,640 Speaker 1: with this, it's like, Okay, we gotta get done three days. 689 00:40:36,680 --> 00:40:39,759 Speaker 1: So it's clearly on their terms. Uh, and we'll see 690 00:40:39,760 --> 00:40:41,560 Speaker 1: what happens. I mean, they got a couple of days. 691 00:40:41,560 --> 00:40:44,640 Speaker 1: But look after March five, when the DOCTA thing expires, 692 00:40:45,080 --> 00:40:47,440 Speaker 1: there could be roughly what like a thousand recipients per 693 00:40:47,520 --> 00:40:49,680 Speaker 1: day begin to lose their work permits and at the 694 00:40:49,760 --> 00:40:52,200 Speaker 1: risk of deportations. So I mean it seems like what 695 00:40:52,239 --> 00:40:54,279 Speaker 1: they may likely want to try and do is just 696 00:40:54,400 --> 00:40:56,319 Speaker 1: extend it for a year and just kick the can 697 00:40:56,360 --> 00:40:59,480 Speaker 1: down the road. But I think we were all trying 698 00:40:59,520 --> 00:41:03,120 Speaker 1: to have an actual solution to this, So I don't know. 699 00:41:03,520 --> 00:41:05,680 Speaker 1: We'll see what Chuck Schumer and the rest of the 700 00:41:05,719 --> 00:41:08,640 Speaker 1: game can pull together. Because the House Democrats were really 701 00:41:08,680 --> 00:41:10,920 Speaker 1: hoping that they could actually get a bill done in 702 00:41:10,920 --> 00:41:12,560 Speaker 1: the Senate that would put a little bit of pressure 703 00:41:12,560 --> 00:41:14,759 Speaker 1: on the House. And we'll I don't know if that's 704 00:41:14,760 --> 00:41:17,720 Speaker 1: gonna happen. And is it just shorter or is it 705 00:41:17,719 --> 00:41:20,400 Speaker 1: it was going to be public announced private also, no, 706 00:41:20,480 --> 00:41:23,000 Speaker 1: it's gonna be public. It's but it was just like 707 00:41:23,840 --> 00:41:25,319 Speaker 1: he's like, well, I said it would be a week, 708 00:41:25,360 --> 00:41:27,239 Speaker 1: and this is the week, so it's gonna be done 709 00:41:27,239 --> 00:41:30,399 Speaker 1: in this Oh yeah, in according to my you know, Nick, 710 00:41:30,640 --> 00:41:35,480 Speaker 1: We'll see what happens. But he again he has something there. 711 00:41:35,680 --> 00:41:40,279 Speaker 1: Uh yeah. Again, it's just another example of Democrats being 712 00:41:40,280 --> 00:41:43,200 Speaker 1: a little naive, uh and not counting on Republicans to 713 00:41:43,600 --> 00:41:45,960 Speaker 1: pull as many stunts and tricks as they can to 714 00:41:46,040 --> 00:41:49,839 Speaker 1: sort of hamstring this whole reform push. Right, So they're 715 00:41:49,880 --> 00:41:52,000 Speaker 1: putting out a thing they know Democrats are gonna hate, 716 00:41:52,000 --> 00:41:54,080 Speaker 1: and they're saying, all right, now we have to agree 717 00:41:54,080 --> 00:41:56,200 Speaker 1: on something in the next two days. Yeah, okay, if 718 00:41:56,200 --> 00:41:57,480 Speaker 1: you want to amend it, like here we go, let's 719 00:41:57,480 --> 00:41:59,759 Speaker 1: have debate now. But two days come on, and then 720 00:42:00,120 --> 00:42:02,240 Speaker 1: at the end they'll presumably be like, sorry, you guys 721 00:42:02,480 --> 00:42:04,279 Speaker 1: didn't so is this it? We're vote on this, you 722 00:42:04,280 --> 00:42:06,239 Speaker 1: guys like this, and if not, then us we'll see 723 00:42:06,239 --> 00:42:08,359 Speaker 1: how this shakes up. Because this news just came out 724 00:42:08,400 --> 00:42:10,240 Speaker 1: that he was like, we have to finish this week, 725 00:42:10,760 --> 00:42:15,200 Speaker 1: which is insane, but again, let's see what happens. Do 726 00:42:15,239 --> 00:42:18,799 Speaker 1: you think that like he can when he inhales like 727 00:42:18,960 --> 00:42:23,520 Speaker 1: blow the like his neck like bull frog out there 728 00:42:23,640 --> 00:42:27,680 Speaker 1: feel like they're ornamental. Just but I mean, when he's 729 00:42:27,719 --> 00:42:30,960 Speaker 1: trying to, like, you know, attract his wife to him, 730 00:42:31,000 --> 00:42:34,560 Speaker 1: do you think he can maybe do? He looks like 731 00:42:34,600 --> 00:42:38,359 Speaker 1: a capitalist robot is unmoved by anything. So I don't 732 00:42:38,360 --> 00:42:40,080 Speaker 1: know she should stand behind Trump when he said that 733 00:42:40,080 --> 00:42:45,400 Speaker 1: the white supremacist were good people. You am I up here? Um, 734 00:42:45,440 --> 00:42:48,640 Speaker 1: there's sort of breaking news four hours ago, but uh 735 00:42:48,880 --> 00:42:53,000 Speaker 1: Net and Yahoo the boy, the Israeli Prime Minister uh 736 00:42:53,760 --> 00:42:59,880 Speaker 1: was embroiled in a bribery scandal and the Israeli police 737 00:43:00,040 --> 00:43:03,000 Speaker 1: have just come out and recommended that he be indicted 738 00:43:03,840 --> 00:43:07,440 Speaker 1: in a pair of corruption cases. So that's because corruption 739 00:43:07,560 --> 00:43:11,400 Speaker 1: is the worst crime, that's embarrassing. Do what you gotta do. Um, 740 00:43:11,480 --> 00:43:14,520 Speaker 1: let's see if they can follow through. Right, all right, 741 00:43:14,600 --> 00:43:16,560 Speaker 1: we're gonna take a quick break and we'll be right 742 00:43:16,600 --> 00:43:29,000 Speaker 1: back with some Google trends and we're back. And I 743 00:43:29,040 --> 00:43:33,800 Speaker 1: should have said uh. For more on the Net and 744 00:43:33,880 --> 00:43:38,160 Speaker 1: Yahoo's story, you should check out our sister podcast, Culture 745 00:43:38,280 --> 00:43:44,440 Speaker 1: Kings UH Now Ethnically Ambiguous, hosted by superproducer Anna Hosnier. 746 00:43:45,280 --> 00:43:47,239 Speaker 1: As we went to break, she looked at me and said, 747 00:43:47,280 --> 00:43:50,680 Speaker 1: if you ever step on ethnically ambiguous again and then 748 00:43:50,760 --> 00:43:54,000 Speaker 1: made a slashing gesture at the throat and I was like, Yo, 749 00:43:54,080 --> 00:43:57,239 Speaker 1: where did you get that box cuted from? Right? Um? Like, 750 00:43:57,400 --> 00:44:00,200 Speaker 1: I keep the blade on my tongue. Yeah. But they 751 00:44:00,200 --> 00:44:02,759 Speaker 1: do a really good job of, you know, making you 752 00:44:02,880 --> 00:44:06,800 Speaker 1: understand all these stories from that region of the world 753 00:44:06,880 --> 00:44:09,400 Speaker 1: that I had sort of tuned out in the past 754 00:44:09,440 --> 00:44:12,759 Speaker 1: because I'm a bad person. But you know, if you 755 00:44:12,800 --> 00:44:15,719 Speaker 1: find yourself tuning some of those stories out, or you know, 756 00:44:15,719 --> 00:44:20,200 Speaker 1: stories about Syria and Israel and Palestine and uh, you know, 757 00:44:20,280 --> 00:44:23,960 Speaker 1: the Middle Eastern general, you should definitely check their show out. 758 00:44:24,040 --> 00:44:26,239 Speaker 1: They make it make sense and they make you care 759 00:44:26,280 --> 00:44:30,680 Speaker 1: about it. Alright, guys, So first up, we wanted to 760 00:44:30,719 --> 00:44:32,960 Speaker 1: take a look at a Twitter trend, miles that you 761 00:44:33,040 --> 00:44:35,520 Speaker 1: have been noticing just the last two days. Look, white 762 00:44:35,560 --> 00:44:39,200 Speaker 1: people don't want black people. They don't want us have anything. Okay, 763 00:44:39,239 --> 00:44:43,359 Speaker 1: So first fucking yesterday with the Obama portraits, like there 764 00:44:43,480 --> 00:44:47,839 Speaker 1: was a coordinated smear campaign from the likes of the right. 765 00:44:48,560 --> 00:44:51,840 Speaker 1: Uh you know because Cahinde Wiley, who did the Obama portrait, 766 00:44:52,160 --> 00:44:55,320 Speaker 1: also did versions of like classical art of like beheadings 767 00:44:55,360 --> 00:44:57,360 Speaker 1: or whatever, and he does it in a style, like anyway, 768 00:44:57,400 --> 00:44:59,759 Speaker 1: they basically were just there was a lot of fortune 769 00:44:59,800 --> 00:45:03,400 Speaker 1: in and you know, are the Donald subreddit type freaks 770 00:45:03,400 --> 00:45:05,280 Speaker 1: out there trying to be like, oh this is racist, 771 00:45:05,280 --> 00:45:07,400 Speaker 1: this is bullshit, blah blah blah, and just it was 772 00:45:07,440 --> 00:45:10,120 Speaker 1: like just a coordinated smear and a lot of people 773 00:45:10,160 --> 00:45:12,920 Speaker 1: suddenly became art critics yesterday when the ports came out 774 00:45:12,920 --> 00:45:14,520 Speaker 1: and like, oh this, so this looks terrible. This is 775 00:45:14,520 --> 00:45:16,879 Speaker 1: not art. Michelle Obama looks like the pencil drawing or whatever. 776 00:45:16,880 --> 00:45:19,760 Speaker 1: It's like, motherfucker, do you know art? Okay? Your avatar? 777 00:45:20,000 --> 00:45:24,759 Speaker 1: Is you wearing a camouflage under armorhood? Okay. Also, so 778 00:45:24,840 --> 00:45:26,280 Speaker 1: that was one thing, and I was like, okay, whatever, 779 00:45:26,320 --> 00:45:28,279 Speaker 1: this is to be expected because this is sort of 780 00:45:28,320 --> 00:45:31,960 Speaker 1: the state of America. But then also, as someone pointed out, 781 00:45:32,160 --> 00:45:35,120 Speaker 1: how much there are people who really need to point 782 00:45:35,120 --> 00:45:38,680 Speaker 1: out to black people that Wakonda, uh the imaginary Kingdom 783 00:45:38,840 --> 00:45:41,440 Speaker 1: from the Black Panther film that has many people excited, 784 00:45:41,520 --> 00:45:43,960 Speaker 1: especially people of color, because look, look we got we 785 00:45:44,000 --> 00:45:47,719 Speaker 1: got our whole movie now that is seemingly unoffensive. Uh. 786 00:45:47,760 --> 00:45:50,120 Speaker 1: So many people are tweeting stuff like what Konda is 787 00:45:50,160 --> 00:45:53,680 Speaker 1: not real? What Konda do? They do? They realize what 788 00:45:53,840 --> 00:45:57,200 Speaker 1: Konda is not a real place. Dear black people, repeat 789 00:45:57,239 --> 00:46:00,640 Speaker 1: after me, what Konda is not real? These are all 790 00:46:00,719 --> 00:46:03,160 Speaker 1: different tweets. I'm not just saying this over L. L. 791 00:46:03,239 --> 00:46:07,000 Speaker 1: Wakonda's fiction. Ancient Egypt wasn't black. Wakonda is not a 792 00:46:07,040 --> 00:46:12,719 Speaker 1: real place. So look, but Gotham City is, and Crypton 793 00:46:13,080 --> 00:46:18,759 Speaker 1: is real and Dungeon and it was exactly a r 794 00:46:18,800 --> 00:46:21,200 Speaker 1: I p rest in power to Crypton. But yeah, again, 795 00:46:21,440 --> 00:46:24,040 Speaker 1: we don't star Wars. A tattooing is not real, and 796 00:46:24,200 --> 00:46:27,120 Speaker 1: Door is not real. Look, we know Alderon is not real. 797 00:46:27,680 --> 00:46:32,040 Speaker 1: Warts though very real. Okay, don't funk around Hogwarts whatever. 798 00:46:32,120 --> 00:46:34,719 Speaker 1: I mean again, it's just I guess because of the 799 00:46:34,760 --> 00:46:37,400 Speaker 1: idea of that this is a place where Africans still had, 800 00:46:37,480 --> 00:46:40,440 Speaker 1: like you know, had the agency over their own kingdom, 801 00:46:40,480 --> 00:46:42,799 Speaker 1: without colonialism or whatever to do as they saw fit. 802 00:46:43,120 --> 00:46:47,160 Speaker 1: It's like, oh my god, people getting excited about the 803 00:46:47,160 --> 00:46:51,240 Speaker 1: Black Panther movie coming out and white people responding by 804 00:46:51,480 --> 00:46:54,840 Speaker 1: pointing out that the movie is fictional. Yeah, because you know, 805 00:46:54,920 --> 00:46:56,799 Speaker 1: some people and they're even on their Twitter names, are 806 00:46:56,800 --> 00:47:01,120 Speaker 1: putting stuff about Wakonda yeah or whatever, And then that's 807 00:47:01,200 --> 00:47:04,919 Speaker 1: got people so fucking angry. It's worse than a straw 808 00:47:04,960 --> 00:47:09,120 Speaker 1: man argument. It's condescending to someone who doesn't exist. It's 809 00:47:09,160 --> 00:47:13,400 Speaker 1: like inventing someone dumber than you. So you could go, um, actually, 810 00:47:13,680 --> 00:47:16,000 Speaker 1: and you're just in our room alone, like what the 811 00:47:16,320 --> 00:47:18,640 Speaker 1: are you doing? I mean, yeah, you just got back like, oh, 812 00:47:18,680 --> 00:47:21,120 Speaker 1: it's not Can you show me any literature that bogunder 813 00:47:21,200 --> 00:47:22,759 Speaker 1: is not real? Right? And just send them on a 814 00:47:23,080 --> 00:47:26,440 Speaker 1: I guess a very easy Google Google search. But yeah, 815 00:47:26,480 --> 00:47:29,359 Speaker 1: that's so, that's that's new in white people don't want 816 00:47:29,400 --> 00:47:32,160 Speaker 1: us have anything news. So yeah, Wakanda is not real. 817 00:47:32,239 --> 00:47:34,880 Speaker 1: Update wa Kanda is not real. And also, uh, you know, 818 00:47:35,080 --> 00:47:38,040 Speaker 1: everything to do with the Yeah, everything is racist. I 819 00:47:38,160 --> 00:47:40,600 Speaker 1: has a two of the Obamas. So that's that's it 820 00:47:40,680 --> 00:47:44,719 Speaker 1: for me in the field. Back to you. So, we 821 00:47:44,800 --> 00:47:47,600 Speaker 1: just wanted to look at some Google trends from the 822 00:47:47,640 --> 00:47:52,520 Speaker 1: past fourteen days and that I had kind of missed. 823 00:47:52,560 --> 00:47:55,200 Speaker 1: So clover Field Paradox I knew that that was released 824 00:47:55,640 --> 00:47:59,600 Speaker 1: after the Super Bowl, and you know, apparently that worked 825 00:47:59,640 --> 00:48:04,239 Speaker 1: because does the top search trend, like the top term 826 00:48:04,440 --> 00:48:07,319 Speaker 1: that leapt out of nowhere from the third through the 827 00:48:07,440 --> 00:48:10,120 Speaker 1: third team. So they nailed it with the release of 828 00:48:10,160 --> 00:48:14,480 Speaker 1: that but Michael, you watch clover Field Paradox and you're 829 00:48:14,480 --> 00:48:18,400 Speaker 1: saying they didn't quite nail it with the execution as well. 830 00:48:18,640 --> 00:48:22,160 Speaker 1: More than that, I booed over your introduction of it. 831 00:48:22,760 --> 00:48:25,200 Speaker 1: We were talking earlier about Netflix originals, and this is 832 00:48:25,239 --> 00:48:27,960 Speaker 1: the movie that made me realize, oh, this scene is 833 00:48:28,000 --> 00:48:31,120 Speaker 1: over the Netflix original scene because uh, and there's a 834 00:48:31,120 --> 00:48:35,280 Speaker 1: great podcast our ex compatriots David Christopher Ballent Tom Ryman 835 00:48:35,320 --> 00:48:38,200 Speaker 1: do called we just watched and they covered and pointed 836 00:48:38,239 --> 00:48:42,840 Speaker 1: out that like it's painfully transparent, that is Diehard syndrome 837 00:48:42,880 --> 00:48:45,359 Speaker 1: where it's an unrelated script. The script was originally called 838 00:48:45,360 --> 00:48:49,319 Speaker 1: God Particle, and they've done the minimal amount to make 839 00:48:49,360 --> 00:48:51,920 Speaker 1: it clover Field. It's like slapping a clover Field bumper 840 00:48:51,960 --> 00:48:54,719 Speaker 1: sticker on it. There's one effects shot that shows a 841 00:48:54,719 --> 00:48:59,240 Speaker 1: clover Field like creature, and they re shot some scenes 842 00:48:59,360 --> 00:49:02,520 Speaker 1: where they the word clover Field. And they shot this 843 00:49:02,760 --> 00:49:06,520 Speaker 1: ridiculous insert of Donal log on TV, just giving a 844 00:49:06,520 --> 00:49:10,840 Speaker 1: bunch of exposition about clover Field that the astronauts watch 845 00:49:11,239 --> 00:49:14,239 Speaker 1: from the space station for no reason while crises are 846 00:49:14,239 --> 00:49:16,319 Speaker 1: going on. They're like, hey, let's tune on the TV 847 00:49:17,680 --> 00:49:21,080 Speaker 1: to watch Donal logs. Say hey, everyone, this movie you're 848 00:49:21,080 --> 00:49:23,440 Speaker 1: about to watch that will never mention clover Field again 849 00:49:23,600 --> 00:49:27,040 Speaker 1: is about clover Field, and it's lazy to the point 850 00:49:27,160 --> 00:49:30,440 Speaker 1: that all of their outfits and many of the props 851 00:49:30,800 --> 00:49:33,560 Speaker 1: say Helios on them because that is the name of 852 00:49:33,600 --> 00:49:36,440 Speaker 1: the ship. And yet in all the reshoots they referred 853 00:49:36,440 --> 00:49:39,400 Speaker 1: to it as the clover Field And literally this was 854 00:49:39,440 --> 00:49:42,680 Speaker 1: supposed to be the key to the franchise that explained 855 00:49:42,719 --> 00:49:46,080 Speaker 1: like how clover Field and tent Cloverfield Lane are in 856 00:49:46,120 --> 00:49:49,640 Speaker 1: the same universe at all, and it just does not. 857 00:49:49,880 --> 00:49:52,960 Speaker 1: It doesn't even try. It was a direct DVD movie 858 00:49:53,360 --> 00:49:55,719 Speaker 1: that they slapped some paint on and released as a 859 00:49:55,760 --> 00:49:59,080 Speaker 1: Netflix original, and I like that kills the Netflix original 860 00:49:59,239 --> 00:50:02,360 Speaker 1: juice that was going I hate it. Did you watch 861 00:50:02,440 --> 00:50:06,360 Speaker 1: ten Cloverfield Ding? Yeah, much much, much stronger, so that 862 00:50:06,360 --> 00:50:08,200 Speaker 1: that was like a really fun movie. But I also 863 00:50:08,360 --> 00:50:11,000 Speaker 1: felt like it was a great movie that at the 864 00:50:11,120 --> 00:50:14,040 Speaker 1: end again just like pasted on the clover Field thing, 865 00:50:14,239 --> 00:50:17,279 Speaker 1: and I don't know it, it felt very like uh 866 00:50:17,600 --> 00:50:20,120 Speaker 1: mashed together, like they had a great movie. And then J. J. 867 00:50:20,200 --> 00:50:22,799 Speaker 1: Abrams was like, Okay, I want that to be a 868 00:50:22,800 --> 00:50:25,960 Speaker 1: clover Field movie, so let's add some monsters at the 869 00:50:26,040 --> 00:50:28,960 Speaker 1: very end that have nothing to do with the thing 870 00:50:29,040 --> 00:50:31,920 Speaker 1: that you just watched. I think the only thing connecting 871 00:50:31,960 --> 00:50:34,120 Speaker 1: them is it's kind of like Exquisite Corpse because it 872 00:50:34,160 --> 00:50:38,000 Speaker 1: was like monster movie that ends with the Apocalypse. The 873 00:50:38,040 --> 00:50:41,360 Speaker 1: next movie is Apocalypse that ends with Aliens. Spoiler alert. 874 00:50:41,640 --> 00:50:45,839 Speaker 1: The clover Field paradoxes Aliens at the beginning ends with 875 00:50:45,920 --> 00:50:48,360 Speaker 1: time travel. And they've already announced clover Field four is 876 00:50:48,360 --> 00:50:50,919 Speaker 1: going to be the clover Field Monster appears in World 877 00:50:51,000 --> 00:50:54,320 Speaker 1: War two times and and again. It's a script that 878 00:50:54,400 --> 00:50:56,880 Speaker 1: was not designed to be a clover Field movie. So 879 00:50:56,920 --> 00:51:01,520 Speaker 1: they're taking some midshelf world Wars, like let's do the 880 00:51:01,520 --> 00:51:04,200 Speaker 1: mission and kill Nazis movie, and they're gonna add some 881 00:51:04,320 --> 00:51:08,359 Speaker 1: Cloverfield scenes and release it. What are they doing? Yeah, 882 00:51:08,400 --> 00:51:10,400 Speaker 1: I'd be great if it was just like a straightforward, 883 00:51:10,440 --> 00:51:13,479 Speaker 1: like saving Private Ryan type of movie, Like and they're 884 00:51:13,560 --> 00:51:19,080 Speaker 1: just like yeah, but then at the end, I got 885 00:51:19,080 --> 00:51:22,600 Speaker 1: a girl waiting for me. Yeah, instead of the air 886 00:51:22,640 --> 00:51:25,280 Speaker 1: fleet coming in and like saving them, it's a clover 887 00:51:25,440 --> 00:51:30,400 Speaker 1: Field monster. Um yeah, it's the It's the interconnectedness of 888 00:51:30,440 --> 00:51:33,680 Speaker 1: like an arrested development, but with nothing behind it, like 889 00:51:33,719 --> 00:51:37,319 Speaker 1: there's a there's a shot in Cloverfield Paradox where they're 890 00:51:37,360 --> 00:51:40,920 Speaker 1: just in the cockpit and suddenly it cuts to a 891 00:51:40,960 --> 00:51:43,359 Speaker 1: close up on the corner of the console of a 892 00:51:43,360 --> 00:51:47,160 Speaker 1: slush show bobblehead doll, and I saw online everyone freaking out, like, 893 00:51:47,280 --> 00:51:48,960 Speaker 1: what does it mean? What does it mean? What does 894 00:51:49,000 --> 00:51:51,680 Speaker 1: it mean that the art director put that there for 895 00:51:51,719 --> 00:51:54,200 Speaker 1: a cheap insert shot to make it seem like a 896 00:51:54,200 --> 00:51:57,799 Speaker 1: clover Field movie. It doesn't mean shit. Yeah, I think 897 00:51:57,840 --> 00:52:01,520 Speaker 1: that's overrated to like when like Black Mirror has an 898 00:52:01,520 --> 00:52:04,680 Speaker 1: episode apparently in this last season where it suggests that 899 00:52:04,760 --> 00:52:08,080 Speaker 1: everything is like in a connected universe possibly and it's like, 900 00:52:08,120 --> 00:52:12,560 Speaker 1: I don't like that necessarily ties direct connections where it's 901 00:52:12,600 --> 00:52:14,920 Speaker 1: like someone says a line and you're like, oh, I 902 00:52:14,960 --> 00:52:17,680 Speaker 1: guess during the events of this across the country that 903 00:52:17,719 --> 00:52:20,160 Speaker 1: other episodes happening because the reference that it was on 904 00:52:20,200 --> 00:52:22,319 Speaker 1: the news, You like, what does that add really? Right? 905 00:52:22,440 --> 00:52:24,880 Speaker 1: Like Twilight Zone wouldn't have been better if at the 906 00:52:25,000 --> 00:52:30,920 Speaker 1: end they were like all part of a shared universe, right, Um? 907 00:52:31,000 --> 00:52:33,760 Speaker 1: So yeah, I don't know. And I also worry about 908 00:52:33,760 --> 00:52:37,080 Speaker 1: this because this is the second movie that they've released 909 00:52:37,680 --> 00:52:41,400 Speaker 1: Netflix that the release has been extremely successful both Bright 910 00:52:41,480 --> 00:52:46,239 Speaker 1: and this head can't believe Bright and but they were 911 00:52:46,280 --> 00:52:49,240 Speaker 1: both bad movies, and it's just like that is always 912 00:52:49,239 --> 00:52:53,040 Speaker 1: a problem when a media company is having a lot 913 00:52:53,080 --> 00:52:56,960 Speaker 1: of success but it's completely disconnected from quality, then they 914 00:52:57,000 --> 00:52:58,840 Speaker 1: start to lose their way a little bit. I was 915 00:52:58,880 --> 00:53:01,400 Speaker 1: really thinking about this with Bright, because they've already announced 916 00:53:01,480 --> 00:53:05,160 Speaker 1: right too, and I have to assume that it's because Netflix. 917 00:53:05,200 --> 00:53:07,239 Speaker 1: I mean, you know, the classic story is House of 918 00:53:07,239 --> 00:53:09,840 Speaker 1: Cards is because they had a poll and people like 919 00:53:09,880 --> 00:53:13,040 Speaker 1: our favorite directors David Fincher, our favorite actors, Kevin Spacey, 920 00:53:13,080 --> 00:53:16,200 Speaker 1: so they put them together. So if that's their model, 921 00:53:16,239 --> 00:53:19,200 Speaker 1: if that's where they take their cues, people, we gotta 922 00:53:19,239 --> 00:53:22,640 Speaker 1: help Netflix out. We can't keep watching ship like Bright 923 00:53:22,920 --> 00:53:25,600 Speaker 1: to see how bad it is, because then they see 924 00:53:25,600 --> 00:53:29,160 Speaker 1: a computer read out that says, oh, kids love Bright. 925 00:53:29,280 --> 00:53:32,839 Speaker 1: And what they don't realize is no one's gonna watch 926 00:53:32,880 --> 00:53:35,560 Speaker 1: Bright too. We all watch Bright one because those allegations 927 00:53:35,600 --> 00:53:38,520 Speaker 1: came out and because we heard it was so crazy bad. 928 00:53:38,600 --> 00:53:41,560 Speaker 1: But I don't need to see another movie that awful. 929 00:53:42,280 --> 00:53:43,799 Speaker 1: So I feel like they're going to take these big 930 00:53:43,840 --> 00:53:47,759 Speaker 1: swings based on popular flops, and I just, yeah, it's 931 00:53:48,239 --> 00:53:52,759 Speaker 1: incentivizing the absolutely the wrong thing. We're encouraging mediocrity, guys. Yeah, 932 00:53:52,840 --> 00:53:55,920 Speaker 1: I don't know how much people realize how like Netflix, 933 00:53:56,040 --> 00:53:58,480 Speaker 1: the the huge advantage they have is all driven by 934 00:53:58,480 --> 00:54:00,440 Speaker 1: the fact that they can see what we watch, and 935 00:54:00,480 --> 00:54:03,040 Speaker 1: so they have the ability to be like, wow, people 936 00:54:03,040 --> 00:54:06,120 Speaker 1: would actually watch the Ranch because they like Two and 937 00:54:06,120 --> 00:54:10,880 Speaker 1: a Half Men with fucking Ashton Kutcher and Westerns or whatever. 938 00:54:10,960 --> 00:54:13,439 Speaker 1: So they just like mashed two things together. And that's 939 00:54:13,719 --> 00:54:17,960 Speaker 1: apparently people like Will Smith movies and uh, fucking The 940 00:54:18,000 --> 00:54:20,280 Speaker 1: Lord of the Rings. The preevious is when they'll tweet 941 00:54:20,320 --> 00:54:23,520 Speaker 1: those break down the like at Miles of Gray, Hey, 942 00:54:23,600 --> 00:54:25,520 Speaker 1: we saw that you watched the eighteen minutes of this 943 00:54:28,760 --> 00:54:31,680 Speaker 1: Altered Carbon is also up there. That's their new show. 944 00:54:31,920 --> 00:54:33,880 Speaker 1: None of us have seen it. We watched the first 945 00:54:33,920 --> 00:54:36,600 Speaker 1: two minutes, uh, and it seems to open with like 946 00:54:36,640 --> 00:54:40,120 Speaker 1: a pretty graphic shower graphics like they're someone's bloody either 947 00:54:40,239 --> 00:54:45,080 Speaker 1: taking a shower and having sex, and then ye do Travis. 948 00:54:45,920 --> 00:54:49,560 Speaker 1: I don't know if it's as problematic as it seems, 949 00:54:49,600 --> 00:54:53,880 Speaker 1: but the trailer just made me brace for it being 950 00:54:54,040 --> 00:54:57,279 Speaker 1: really troubling because and I'm not I haven't seen it 951 00:54:57,280 --> 00:54:58,480 Speaker 1: so I don't know if this is the plot, but 952 00:54:58,560 --> 00:55:01,000 Speaker 1: from what I could piece together, it seemed like it's 953 00:55:01,040 --> 00:55:06,560 Speaker 1: about an Asian guy who dies and becomes reformulated as 954 00:55:06,560 --> 00:55:09,360 Speaker 1: a white guy who knows martial arts because he has 955 00:55:09,400 --> 00:55:13,040 Speaker 1: an Asian inside of him. That is, like, I don't know, 956 00:55:13,200 --> 00:55:19,239 Speaker 1: that's what the trailer seems to sugget. Yeah, years in 957 00:55:19,239 --> 00:55:21,919 Speaker 1: the future, society has been transformed by new technology, leading 958 00:55:21,960 --> 00:55:25,240 Speaker 1: to human bodies being interchangeable and death no longer being permanent. 959 00:55:25,480 --> 00:55:30,160 Speaker 1: Takeshi Kovacs okay very interesting now, Like a Croatian Japanese 960 00:55:30,160 --> 00:55:32,480 Speaker 1: person is the only surviving soldier of a group of 961 00:55:32,480 --> 00:55:35,520 Speaker 1: elite interstellar warriors who were defeated and uprising against the 962 00:55:35,520 --> 00:55:37,800 Speaker 1: New World Order. His mind was in prison for centuries 963 00:55:37,840 --> 00:55:41,279 Speaker 1: until and impossibly wealthy businessman Laurence Bancroft offers him the 964 00:55:41,360 --> 00:55:43,319 Speaker 1: chance to live again. Kovacs will have to do something 965 00:55:43,320 --> 00:55:45,600 Speaker 1: for Bancroft, though, if he wants to be resurrected. I 966 00:55:45,600 --> 00:55:49,200 Speaker 1: don't Again, I don't know, but there's just like, if 967 00:55:49,239 --> 00:55:50,960 Speaker 1: it is true that that's what it is, it's just 968 00:55:51,080 --> 00:55:54,560 Speaker 1: the peak whitewashing is like literally, in the plot, the 969 00:55:54,560 --> 00:55:58,320 Speaker 1: guy dies so he can be reincarnated as white guy. 970 00:55:59,160 --> 00:56:01,920 Speaker 1: But that's also why I know Kate and I saw 971 00:56:01,960 --> 00:56:05,680 Speaker 1: problematic because I was Asian before. If only we could 972 00:56:05,719 --> 00:56:10,600 Speaker 1: make karate movies with white people. You put so an 973 00:56:10,640 --> 00:56:13,120 Speaker 1: Asian guy dies and then you put his soul in 974 00:56:13,120 --> 00:56:20,000 Speaker 1: a white man's body. And then finally, we have been 975 00:56:20,440 --> 00:56:25,280 Speaker 1: quoting apparently a meme. Uh. We're calling it the Uganda 976 00:56:25,360 --> 00:56:30,239 Speaker 1: knuckles meme around the office. In particular, super producer Anahosny 977 00:56:30,760 --> 00:56:33,120 Speaker 1: has been has been just yelling it out, Yeah, yelling 978 00:56:33,120 --> 00:56:35,719 Speaker 1: it out in the office. Uh, it's gotten into all 979 00:56:35,719 --> 00:56:39,840 Speaker 1: of our heads, and we haven't quite figured out what. 980 00:56:40,040 --> 00:56:42,279 Speaker 1: I guess there was an episode of reply All where 981 00:56:42,280 --> 00:56:44,600 Speaker 1: they explained it, and I listened to that episode. I 982 00:56:44,640 --> 00:56:47,719 Speaker 1: still don't totally have it figured out. But Michael, so 983 00:56:47,800 --> 00:56:50,960 Speaker 1: you kind of chased this down a little bit. Well, 984 00:56:50,960 --> 00:56:55,080 Speaker 1: this is hilarious because I'm regurgitating information to you that 985 00:56:55,200 --> 00:56:57,680 Speaker 1: I heard on Culture Kings, which is from your network. 986 00:56:58,080 --> 00:57:01,359 Speaker 1: But they were quoting the reply All episode. Um, and 987 00:57:01,400 --> 00:57:04,560 Speaker 1: then I went online and research uh, because the Culture 988 00:57:04,640 --> 00:57:07,759 Speaker 1: Kings were just saying, how like it's wildly offensive, yet 989 00:57:07,760 --> 00:57:10,279 Speaker 1: they couldn't stop laughing, Like, well, if you can't stop laughing. 990 00:57:10,280 --> 00:57:12,560 Speaker 1: I gotta see it, and I will admit it had 991 00:57:12,600 --> 00:57:15,560 Speaker 1: me cackling and feeling guilty at the same time. But 992 00:57:15,680 --> 00:57:17,720 Speaker 1: it's there's this, and this was a meme a long 993 00:57:17,800 --> 00:57:20,400 Speaker 1: time ago. There's a Ugandan action movie like war movie, 994 00:57:20,640 --> 00:57:23,960 Speaker 1: and the trailer went around because it is a bad movie. 995 00:57:23,960 --> 00:57:26,520 Speaker 1: It's one of those funny bad movie trailers. Apparently it's 996 00:57:26,520 --> 00:57:29,520 Speaker 1: like a white dude from America who like failed at 997 00:57:29,520 --> 00:57:31,560 Speaker 1: his job and then was just like, I'm gonna go 998 00:57:31,600 --> 00:57:35,040 Speaker 1: to Uganda and make action movies on a zero dollar budget. 999 00:57:35,080 --> 00:57:37,960 Speaker 1: Like literally for each movie has a thirty dollar budget, 1000 00:57:38,000 --> 00:57:41,480 Speaker 1: and like they're actually more uh modern than you think. 1001 00:57:41,560 --> 00:57:43,680 Speaker 1: They look like they're from like the sixties, but they're 1002 00:57:43,840 --> 00:57:47,400 Speaker 1: actually from a few years ago. And forgive me for this, 1003 00:57:47,520 --> 00:57:49,800 Speaker 1: but basically there's a lot of pull outlines that are 1004 00:57:49,840 --> 00:57:51,920 Speaker 1: like do you know the way the Way of the Devil? 1005 00:57:52,000 --> 00:57:56,000 Speaker 1: These amounties of the devil? So fast forward to now. 1006 00:57:56,480 --> 00:57:58,880 Speaker 1: I don't know how people come up with combined like 1007 00:57:58,920 --> 00:58:00,680 Speaker 1: what they combined and the means it's some kind of 1008 00:58:00,720 --> 00:58:04,880 Speaker 1: weird genius. Fast warder. Now someone goes into I forget 1009 00:58:04,920 --> 00:58:07,959 Speaker 1: what video game just like VR hang or something where 1010 00:58:08,000 --> 00:58:09,560 Speaker 1: you can just be an avatar, and it's just the 1011 00:58:09,640 --> 00:58:14,120 Speaker 1: chat room makes a really shitty looking version of Knuckles 1012 00:58:14,120 --> 00:58:17,520 Speaker 1: from Sonic the Hedgehog Universe, just like a really dirty 1013 00:58:17,560 --> 00:58:20,440 Speaker 1: one that's tiny, so it's only like half the size. 1014 00:58:20,480 --> 00:58:23,560 Speaker 1: They're like pork sized if you're Star Wars, and they'll 1015 00:58:23,600 --> 00:58:25,520 Speaker 1: go anywhere, like if people are trying to have a 1016 00:58:25,600 --> 00:58:28,560 Speaker 1: virtual wedding, which has its own problems doing that, but 1017 00:58:29,360 --> 00:58:34,000 Speaker 1: and it you'll just have full sized humans with suddenly 1018 00:58:34,360 --> 00:58:38,400 Speaker 1: a flash mob of tiny little Sonic and Knuckles porks 1019 00:58:38,400 --> 00:58:40,800 Speaker 1: coming into the like excuse us, do you know de way? 1020 00:58:41,280 --> 00:58:42,680 Speaker 1: It'd be like he does not know the way to 1021 00:58:42,760 --> 00:58:45,120 Speaker 1: chase him, why are you running? And they'll just like 1022 00:58:46,040 --> 00:58:48,120 Speaker 1: it's the classic thing people do on video games, like 1023 00:58:48,360 --> 00:58:53,000 Speaker 1: funk up their game, follow them incessantly. But it's just 1024 00:58:53,680 --> 00:58:56,800 Speaker 1: it is really funny when you get someone who like me, 1025 00:58:56,960 --> 00:58:59,640 Speaker 1: does not know what the hell is going on, is 1026 00:58:59,680 --> 00:59:02,440 Speaker 1: trying to ask them questions that like can I help you? 1027 00:59:03,480 --> 00:59:08,680 Speaker 1: It's pretty funny and wildly offensive. Yes, uh, all right, 1028 00:59:09,120 --> 00:59:13,200 Speaker 1: well that explains a lot about super producers. Uganda is 1029 00:59:13,240 --> 00:59:18,560 Speaker 1: not real, Uganda is not wake up people. That's surrounding 1030 00:59:18,640 --> 00:59:22,400 Speaker 1: joke of it. Yeah, memes are so fascinating because it's 1031 00:59:22,440 --> 00:59:27,600 Speaker 1: like the entire youngion consciousness just doing free association as 1032 00:59:27,640 --> 00:59:32,240 Speaker 1: a mass like zeitgeist brain, and you can ask anyone 1033 00:59:32,320 --> 00:59:33,920 Speaker 1: why did you do that, and they'll just be like 1034 00:59:34,200 --> 00:59:37,240 Speaker 1: other people did it and then yeah, you'll never track 1035 00:59:37,320 --> 00:59:39,919 Speaker 1: down the original person who can explain why the funk 1036 00:59:40,000 --> 00:59:44,320 Speaker 1: this came into existence. Yeah, but it's like group hive 1037 00:59:44,440 --> 00:59:48,960 Speaker 1: mind joke writing that has a weird like dream logic. Yeah, 1038 00:59:49,040 --> 00:59:51,800 Speaker 1: it's interesting how those kinds of jokes always end up 1039 00:59:51,800 --> 00:59:53,760 Speaker 1: being the only thing that can be universal, which is 1040 00:59:53,800 --> 00:59:58,520 Speaker 1: just like weird non sequitors. Yeah. Well, Michael, it has 1041 00:59:58,600 --> 01:00:01,800 Speaker 1: been wonderful having such a pleasure to be here. Thanks 1042 01:00:01,840 --> 01:00:04,200 Speaker 1: for having me. Guys, where can people find you and 1043 01:00:04,280 --> 01:00:08,960 Speaker 1: follow you? Oh boy? Well, since the Cracks diaspora, uh, 1044 01:00:09,120 --> 01:00:11,280 Speaker 1: myself and a lot of our mutual buddies have been 1045 01:00:11,320 --> 01:00:13,760 Speaker 1: trying to start up our own new things, and our 1046 01:00:13,840 --> 01:00:16,480 Speaker 1: new thing is called small Beans. You can find us 1047 01:00:16,480 --> 01:00:19,080 Speaker 1: on Patreon at patreon dot com, slash small Beans, or 1048 01:00:19,120 --> 01:00:21,000 Speaker 1: just go to iTunes or Stitcher and look for the 1049 01:00:21,000 --> 01:00:24,200 Speaker 1: small Beans feed. We're mainly releasing podcasts now because we're 1050 01:00:24,200 --> 01:00:26,600 Speaker 1: just getting rolling. But if you're a fan of our 1051 01:00:26,680 --> 01:00:29,960 Speaker 1: previous work. We plan to be rolling out the kinds 1052 01:00:29,960 --> 01:00:32,480 Speaker 1: of sketches you would have seen it Cracked, and just 1053 01:00:33,080 --> 01:00:35,640 Speaker 1: continuing to fight the good fight with no corporate overlords, 1054 01:00:35,640 --> 01:00:40,080 Speaker 1: which we're excited about personally. Not a fan. Yeah, it's well, 1055 01:00:40,160 --> 01:00:43,400 Speaker 1: it's wonderful. It's everything I've loved about you guys. At 1056 01:00:43,440 --> 01:00:48,040 Speaker 1: Cracked yesterday we just dropped Yeah, it's fun, it's fun. 1057 01:00:48,080 --> 01:00:50,880 Speaker 1: We just dropped a really good interview with Sore and 1058 01:00:50,880 --> 01:00:54,920 Speaker 1: Booie yesterday. Yeah. But you can hear about what he's 1059 01:00:54,920 --> 01:00:57,840 Speaker 1: doing over at American Dad and what a horrible burden 1060 01:00:57,880 --> 01:01:04,320 Speaker 1: it is for him to have had children. Oh no, uh, Miles, 1061 01:01:04,320 --> 01:01:06,400 Speaker 1: where can people find you and follow? You can find 1062 01:01:06,440 --> 01:01:09,560 Speaker 1: me and follow me on Twitter and Instagram at Miles 1063 01:01:09,720 --> 01:01:11,360 Speaker 1: of Gray. And you know, a shout out to all 1064 01:01:11,360 --> 01:01:14,320 Speaker 1: the SALTEP Canadian listeners who are like, don't be slagging 1065 01:01:14,360 --> 01:01:17,800 Speaker 1: off the Canadian Olympic team. Look, I love y'all up there. 1066 01:01:18,280 --> 01:01:20,959 Speaker 1: So we're sorry, Yeah but I'm sorry. And I talked 1067 01:01:21,000 --> 01:01:23,840 Speaker 1: about how people I skate to work in one of 1068 01:01:23,840 --> 01:01:27,560 Speaker 1: your towns so and how magical that is. So you know, 1069 01:01:27,760 --> 01:01:31,720 Speaker 1: we're you're you're coming out ahead in my book yeah. 1070 01:01:31,760 --> 01:01:33,680 Speaker 1: When the first time my friends told me who grew 1071 01:01:33,720 --> 01:01:35,560 Speaker 1: up somewhere cold, they were like, oh yeah, in the 1072 01:01:35,560 --> 01:01:37,760 Speaker 1: winter we would ice skate to school because the river 1073 01:01:38,120 --> 01:01:40,480 Speaker 1: went from our house to scare you grew up in 1074 01:01:40,520 --> 01:01:44,800 Speaker 1: a goddamn fantasy world. It's like a Dickens postcard or something. 1075 01:01:45,960 --> 01:01:49,760 Speaker 1: Um and uh, we'd love for you guys to rate 1076 01:01:49,800 --> 01:01:52,240 Speaker 1: and review us on Apple Podcasts, and Miles, I think 1077 01:01:52,280 --> 01:01:54,840 Speaker 1: we have a review to share with us. We do 1078 01:01:55,120 --> 01:01:58,280 Speaker 1: the title intelligent and fun from I ras Samurai with 1079 01:01:58,360 --> 01:02:00,880 Speaker 1: the five star bless you family. Enjoy getting a daily 1080 01:02:00,960 --> 01:02:03,960 Speaker 1: update on the world from Jack and Miles humorous perspective, 1081 01:02:04,200 --> 01:02:06,280 Speaker 1: and their guests are great. And I get to hear 1082 01:02:06,360 --> 01:02:10,680 Speaker 1: music I would never hear, which is sometimes good, just sometimes. 1083 01:02:10,680 --> 01:02:13,920 Speaker 1: Thanks boys. So all right, all right, right, I rate Samurai. 1084 01:02:13,960 --> 01:02:17,200 Speaker 1: I can tell you're not totally supportive Samurai. You're little 1085 01:02:17,200 --> 01:02:19,920 Speaker 1: I rate. I get that, but we appreciate the review. 1086 01:02:19,960 --> 01:02:22,080 Speaker 1: I don't even the spot you know that's actually Peter 1087 01:02:22,120 --> 01:02:28,280 Speaker 1: Travors and the rolling stuff. Samurai. Yeah, I rate, Yeah, 1088 01:02:28,320 --> 01:02:31,400 Speaker 1: I get it. Yeah, go back to rating Samurai. Yeah. Man. 1089 01:02:32,000 --> 01:02:36,120 Speaker 1: Uh so, Miles, speaking of our spotty music taste, Uh, 1090 01:02:36,280 --> 01:02:38,760 Speaker 1: do you have a song. Oh yes, I have a 1091 01:02:38,840 --> 01:02:41,720 Speaker 1: song because uh, you know a lot of people were 1092 01:02:41,720 --> 01:02:44,000 Speaker 1: a fan of the Spotify add where I was wrapping 1093 01:02:44,120 --> 01:02:46,800 Speaker 1: like this hipp and then hopping. Well, you know, a 1094 01:02:46,920 --> 01:02:49,439 Speaker 1: real legend of m seeing and the hip hop world 1095 01:02:49,440 --> 01:02:52,480 Speaker 1: in general. Love Buck Star Ski, he passed away last week. Uh, 1096 01:02:52,480 --> 01:02:54,600 Speaker 1: and you might have heard the name if you remember 1097 01:02:54,680 --> 01:02:57,320 Speaker 1: Juicy of a notorious b I J. Says Pieter ron 1098 01:02:57,360 --> 01:03:01,240 Speaker 1: Gi Brusy beat Kicker, prefunk Masterflex love Star Ski. I 1099 01:03:01,320 --> 01:03:04,400 Speaker 1: want to play people one of his great tracks. You've 1100 01:03:04,440 --> 01:03:07,160 Speaker 1: got to believe, uh, you know, and it's worth this 1101 01:03:07,280 --> 01:03:09,480 Speaker 1: guy was one of the forefathers of hip hop. He 1102 01:03:09,600 --> 01:03:11,919 Speaker 1: was emtying in the late seventies and kind of didn't 1103 01:03:11,960 --> 01:03:14,720 Speaker 1: get his shine like how Grandmaster Flash in The Furious 1104 01:03:14,760 --> 01:03:17,720 Speaker 1: Five did. But again it's important to learn your history. 1105 01:03:18,280 --> 01:03:20,200 Speaker 1: Rest in peace to the Buck Start. And also, like 1106 01:03:20,280 --> 01:03:21,880 Speaker 1: a lot a lot of the music from that era, 1107 01:03:22,200 --> 01:03:24,560 Speaker 1: like the rapping kind of gets in the way of 1108 01:03:24,760 --> 01:03:27,480 Speaker 1: my enjoyment. It's like two nursery rhyme and like the 1109 01:03:27,560 --> 01:03:29,560 Speaker 1: focus is too much on that. But like this actually 1110 01:03:29,600 --> 01:03:31,760 Speaker 1: sounds yeah, it's kind of funky, and if you watch 1111 01:03:31,840 --> 01:03:34,120 Speaker 1: the video, I realized I was born in the wrong era, 1112 01:03:34,320 --> 01:03:36,680 Speaker 1: like I wish I was em seeing in the early eighties, 1113 01:03:36,840 --> 01:03:39,160 Speaker 1: like while everybody was like just flying off their face 1114 01:03:39,240 --> 01:03:42,560 Speaker 1: on cocaine, like wearing crazy outfits. But anyway, if anyone 1115 01:03:42,640 --> 01:03:44,200 Speaker 1: has a time trawld machine, hit me up because I 1116 01:03:44,200 --> 01:03:46,280 Speaker 1: will go there. And that's gonna do it for today. 1117 01:03:46,320 --> 01:03:48,560 Speaker 1: We will be back tomorrow because it is a daily podcast. 1118 01:03:48,600 --> 01:04:10,680 Speaker 1: We'll talk to you guys us Well. The few times 1119 01:04:10,800 --> 01:04:13,800 Speaker 1: that's so high, I didn't defend with what I've got. 1120 01:04:14,080 --> 01:04:16,720 Speaker 1: I didn't let those things balld to me. We'll leave 1121 01:04:16,760 --> 01:04:19,640 Speaker 1: to my own fee. I believe when things got bad, 1122 01:04:19,960 --> 01:04:23,440 Speaker 1: very slow, I didn't think that I could win about 1123 01:04:23,520 --> 01:04:25,919 Speaker 1: the dry by trump in the seats. When the work 1124 01:04:25,960 --> 01:04:30,640 Speaker 1: of window came to res. Yeah, don't let the one 1125 01:04:30,880 --> 01:04:35,040 Speaker 1: see you can't make it your cat. When things don't go, 1126 01:04:35,280 --> 01:04:39,560 Speaker 1: just don't take it. You got leave just telling yourself. 1127 01:04:39,680 --> 01:04:44,160 Speaker 1: I've got to make it. Yeah, gotle So come on, everybody, 1128 01:04:44,280 --> 01:05:13,560 Speaker 1: let us ship it a I bring him in theory 1129 01:05:13,600 --> 01:05:16,040 Speaker 1: from paint today. I chept my face and I don't 1130 01:05:16,040 --> 01:05:18,920 Speaker 1: if you want to read, so let those things understood. 1131 01:05:19,200 --> 01:05:21,760 Speaker 1: Thing you's gonna back can change the good and if 1132 01:05:21,800 --> 01:05:24,640 Speaker 1: you want things better enough to be open, if you 1133 01:05:24,760 --> 01:05:27,000 Speaker 1: want to stay, talk because when it is getting the 1134 01:05:27,080 --> 01:05:32,760 Speaker 1: bottom shell, So judgamember, believe it yourself. Yeah, please, don't 1135 01:05:32,840 --> 01:05:37,560 Speaker 1: let the one see again, make it leave. When things 1136 01:05:37,600 --> 01:05:42,400 Speaker 1: go b don't one take it again. Just tell yourself 1137 01:05:42,520 --> 01:05:46,520 Speaker 1: I've got you make it yea please, So come on, 1138 01:05:46,600 --> 01:06:44,680 Speaker 1: everybody like shot m h still bapiy h h w 1139 01:06:58,280 --> 01:07:00,960 Speaker 1: befod to a brea bad for lot one. The work 1140 01:07:01,320 --> 01:07:04,400 Speaker 1: mystifies ways. I don't know what to my wool bring. 1141 01:07:04,680 --> 01:07:07,880 Speaker 1: I just hope that you'll change your face. The man upstand, 1142 01:07:08,000 --> 01:07:10,240 Speaker 1: he had his plays. He won't give you ball and 1143 01:07:10,360 --> 01:07:12,720 Speaker 1: you can't stand. So when it's looks like it, go 1144 01:07:12,920 --> 01:07:17,200 Speaker 1: all the way, don't remember these words. I see yeah happy, 1145 01:07:18,000 --> 01:07:21,640 Speaker 1: don't let the one see it can make it you, coppony. 1146 01:07:22,480 --> 01:07:27,040 Speaker 1: When things go con just over take it. Yeah, Just 1147 01:07:27,240 --> 01:07:31,600 Speaker 1: tell yourself I got you make it yeah, coppay. So 1148 01:07:31,760 --> 01:07:33,360 Speaker 1: come on, everybody like ship