1 00:00:00,080 --> 00:00:03,720 Speaker 1: Hello the Internet, and welcome to Season one, six, Episode 2 00:00:03,760 --> 00:00:06,520 Speaker 1: five of DIR Daily Sick Guys, the production of My 3 00:00:06,680 --> 00:00:09,320 Speaker 1: Heart Radio. This is a podcast where we take a 4 00:00:09,360 --> 00:00:12,880 Speaker 1: deep dive into America's share consciousness and say, officially, off 5 00:00:12,880 --> 00:00:16,040 Speaker 1: the top, fund the Koch Brothers, fuck Fox News, fuck 6 00:00:16,120 --> 00:00:20,400 Speaker 1: Rush Limbaugh, fuck sext and fuck Ben Shapiro, fuck Tucker Carlson, 7 00:00:20,560 --> 00:00:26,680 Speaker 1: fuck American fascism. It's Friday, August thirteen, twenty. My name 8 00:00:26,760 --> 00:00:32,680 Speaker 1: is Jack O'Brien a k don't come closer. And to Maska, 9 00:00:33,440 --> 00:00:37,960 Speaker 1: I know that you don't see it my way, but 10 00:00:38,159 --> 00:00:43,199 Speaker 1: you may be a symptom magic. Have you checked the 11 00:00:43,320 --> 00:00:47,800 Speaker 1: c d C today? That is Curtsy, Malicious Dish and 12 00:00:48,000 --> 00:00:51,239 Speaker 1: my beautiful pipes, And I'm thrilled to be joined as 13 00:00:51,280 --> 00:00:57,520 Speaker 1: always buy my co host, Mr Miles Gray the g open. 14 00:00:59,600 --> 00:01:07,520 Speaker 1: I don't care, it's so sad for me to Mitch 15 00:01:07,560 --> 00:01:11,360 Speaker 1: looks like a turtle to me, all right, So shout 16 00:01:11,360 --> 00:01:15,680 Speaker 1: out to Lex Luby add Mr Lugubrious for that wonderful 17 00:01:15,920 --> 00:01:19,640 Speaker 1: sister Sledge inspired a game. We are thrilled to be 18 00:01:19,800 --> 00:01:24,720 Speaker 1: joined in our third seat by the hilarious, the talented, 19 00:01:25,240 --> 00:01:32,920 Speaker 1: the wonderful Sophia Alexandra, thank you so much for having me. 20 00:01:33,800 --> 00:01:37,280 Speaker 1: How are you since I see you all the time. Yeah, 21 00:01:37,319 --> 00:01:41,080 Speaker 1: it's like having It's like having my good neighbor on neighbor. 22 00:01:41,360 --> 00:01:45,160 Speaker 1: I'm the third wheel today anyway. No, Jack, you never 23 00:01:45,280 --> 00:01:48,440 Speaker 1: could be. Don't mind anyway. I remember what we were 24 00:01:48,480 --> 00:01:53,160 Speaker 1: talking about. I know he did wear that shirt. Sucker, 25 00:01:54,280 --> 00:02:02,160 Speaker 1: sucker the shirt. No, she met me and I joke, M. Sorry, 26 00:02:02,080 --> 00:02:04,080 Speaker 1: I take a lot of take a lot of racks. 27 00:02:05,680 --> 00:02:13,160 Speaker 1: What are you guys talking about? Laughing? Oh, spaghettios. Yeah 28 00:02:13,600 --> 00:02:18,519 Speaker 1: that was a good anyway. I really wish that Jack 29 00:02:18,680 --> 00:02:28,000 Speaker 1: was there. Yeah, I wasn't cool anyway, So what's up? Nothing? Spaghettios? 30 00:02:29,960 --> 00:02:33,440 Speaker 1: All right? Still funny even though he doesn't know what 31 00:02:33,520 --> 00:02:35,919 Speaker 1: he's doing. And I told it, I get it, Well, 32 00:02:35,960 --> 00:02:39,359 Speaker 1: don't don't. I think I get it? Don't. Don't you 33 00:02:39,480 --> 00:02:42,320 Speaker 1: took a risk on that one. Just let him let 34 00:02:42,360 --> 00:02:45,720 Speaker 1: him feel that one. Anyways, I'm gonna get to know 35 00:02:45,800 --> 00:02:47,760 Speaker 1: you a little bit better in a moment. I don't 36 00:02:47,760 --> 00:02:51,360 Speaker 1: think Miles can get to know you any better. We 37 00:02:51,480 --> 00:02:53,760 Speaker 1: actually constantly learn more about each other on our other 38 00:02:53,800 --> 00:02:57,440 Speaker 1: podcast for Twenty Day Fiance Radio. YEP, I think a 39 00:02:57,440 --> 00:02:59,560 Speaker 1: lot I actually suspect a lot of that gang doesn't 40 00:02:59,560 --> 00:03:01,840 Speaker 1: know I do another podcast because when I mentioned it 41 00:03:01,880 --> 00:03:03,920 Speaker 1: is at the end of the show when I do 42 00:03:04,000 --> 00:03:07,480 Speaker 1: a k or the twitters and stuff. So anyway, if 43 00:03:07,480 --> 00:03:09,560 Speaker 1: you don't know, and I know anyway, if you don't, 44 00:03:09,600 --> 00:03:11,840 Speaker 1: just yeah, no big deal. But if you love ninety 45 00:03:11,880 --> 00:03:16,000 Speaker 1: de Fiance, yeah, and if you like really good Seinfeld impressions, 46 00:03:17,440 --> 00:03:20,280 Speaker 1: it's actually the show is very heavy on my Miles 47 00:03:20,360 --> 00:03:22,840 Speaker 1: doing all kinds of impressions, really weird impression. It's just 48 00:03:22,880 --> 00:03:26,240 Speaker 1: become the Miles Great Impression Hour. Slowly. I mean, that 49 00:03:26,280 --> 00:03:28,079 Speaker 1: sounds really good to me, which the thing is. It's 50 00:03:28,120 --> 00:03:30,000 Speaker 1: also the dailies. I guess now that I found my 51 00:03:30,000 --> 00:03:35,880 Speaker 1: inner Ben Shapiro, So fire before we get to know 52 00:03:35,960 --> 00:03:37,960 Speaker 1: you even better, We're going to tell our listeners a 53 00:03:38,000 --> 00:03:40,800 Speaker 1: couple of things we're talking about. Uh, we're gonna talk 54 00:03:40,840 --> 00:03:46,320 Speaker 1: about all around faccory coming from the Trump reelection, the 55 00:03:46,400 --> 00:03:50,000 Speaker 1: Creep Committee to re elect the president. Yeah, we're gonna 56 00:03:50,040 --> 00:03:52,440 Speaker 1: talk about it's like dumb creep because Creep was the 57 00:03:52,520 --> 00:03:56,320 Speaker 1: name of the Nixon thing that got him in trouble. 58 00:03:56,960 --> 00:03:58,960 Speaker 1: This is like dumb dumb. Oh, I thought it was 59 00:03:58,960 --> 00:04:02,920 Speaker 1: a tlc ref. I was like, that sounds tight radiohead. 60 00:04:04,120 --> 00:04:06,600 Speaker 1: Everything's radiohead now it is. Wow, you must be a 61 00:04:06,640 --> 00:04:10,600 Speaker 1: real radio head if you know Creep their deepest cut. 62 00:04:11,200 --> 00:04:15,440 Speaker 1: Oh yeah, there's that one, and that's probably like they're 63 00:04:15,560 --> 00:04:17,799 Speaker 1: the best song. I mean, I like all their songs, 64 00:04:17,800 --> 00:04:20,200 Speaker 1: but I think that's probably the best one. Yeah yeah, 65 00:04:21,800 --> 00:04:25,440 Speaker 1: the Car Police one, oh yeah yeah, and then the 66 00:04:25,680 --> 00:04:31,480 Speaker 1: Sucking Lemons one. Yeah, I love the Sucking Lemons one. 67 00:04:32,480 --> 00:04:35,400 Speaker 1: We're gonna talk about a double rainbow you guys love 68 00:04:35,480 --> 00:04:40,159 Speaker 1: that one? Oh yeah? And double rainbows. Good. That sounds 69 00:04:40,160 --> 00:04:45,760 Speaker 1: like such a viral content from the early for like 70 00:04:45,800 --> 00:04:49,200 Speaker 1: all like the double rainbow guy mixed with in rainbows 71 00:04:49,400 --> 00:04:59,159 Speaker 1: for people who love like water sports. There's that anthem, dude, spearfish, spearfish. 72 00:05:00,000 --> 00:05:03,080 Speaker 1: I love that one. Man was in mom talk Dude, 73 00:05:03,120 --> 00:05:10,479 Speaker 1: I love him banging that one. Yep, good one. There's 74 00:05:10,520 --> 00:05:14,600 Speaker 1: a new trend and governor in a governor's mansion, uh 75 00:05:16,160 --> 00:05:19,240 Speaker 1: design where we're gonna start throwing up big, big ask 76 00:05:19,320 --> 00:05:24,760 Speaker 1: fences around. We're gonna talk about Uber, our favorite company 77 00:05:24,960 --> 00:05:28,200 Speaker 1: all around, just the best. Uh. We're gonna figure out 78 00:05:28,240 --> 00:05:31,520 Speaker 1: what we're rewatching this weekend. We're watching for the first time. 79 00:05:32,320 --> 00:05:35,360 Speaker 1: We're gonna talk about cheetos, mac and cheese, all of 80 00:05:35,440 --> 00:05:38,160 Speaker 1: that plenty more. But first, Sophia, we like to ask 81 00:05:38,520 --> 00:05:41,000 Speaker 1: our guest, what is something from your search history that's 82 00:05:41,040 --> 00:05:44,720 Speaker 1: revealing about who you are? So um. I was talking 83 00:05:44,760 --> 00:05:48,360 Speaker 1: about Russian food yesterday and telling someone about this dish 84 00:05:48,440 --> 00:05:52,760 Speaker 1: called which is like a little um thing that your 85 00:05:52,800 --> 00:05:54,720 Speaker 1: mom would make you that was like a sweet dessert 86 00:05:54,800 --> 00:05:57,400 Speaker 1: and it's just like egg yolks that you would just 87 00:05:57,560 --> 00:06:00,800 Speaker 1: be with like a fork or whatever and some sugar 88 00:06:01,080 --> 00:06:03,679 Speaker 1: and like vanilla and you can throw some other stuff 89 00:06:03,680 --> 00:06:06,080 Speaker 1: on there in there, depending what you like, but you 90 00:06:06,120 --> 00:06:08,080 Speaker 1: would just have that and it was such a little treat. 91 00:06:08,240 --> 00:06:10,560 Speaker 1: And then when I told people in America, They're like, 92 00:06:10,680 --> 00:06:13,720 Speaker 1: you eat raw eggs, I was like, all right, I'm 93 00:06:13,760 --> 00:06:16,480 Speaker 1: not gonna like it here, but I'm not gonna like, 94 00:06:16,839 --> 00:06:23,320 Speaker 1: calm down refrigeration gang over here. So fucking delicious. How 95 00:06:23,400 --> 00:06:28,720 Speaker 1: do you spell that? G O G O L? And 96 00:06:28,800 --> 00:06:33,240 Speaker 1: like gold bordello? Yes? And then m O g O 97 00:06:33,960 --> 00:06:37,760 Speaker 1: L great? Good good? And have you made it as 98 00:06:37,800 --> 00:06:40,400 Speaker 1: an adult? Like because I recently started making stuff I 99 00:06:40,680 --> 00:06:42,720 Speaker 1: like now that I realized, like I'm an adult with 100 00:06:42,800 --> 00:06:44,880 Speaker 1: cooking skills. I'm like, yeah, wait, why don't I make 101 00:06:44,960 --> 00:06:47,320 Speaker 1: like my favorite like hunsuk egg, like you know, like 102 00:06:47,400 --> 00:06:49,760 Speaker 1: a super soft boiled egg with soy sauce, like I 103 00:06:49,880 --> 00:06:54,400 Speaker 1: just my simple child breakfast. Have you made it recently? No? 104 00:06:54,600 --> 00:06:56,560 Speaker 1: I haven't. And when I was talking about yesterday, I 105 00:06:56,640 --> 00:06:58,000 Speaker 1: was the reason I looked it up is I was like, 106 00:06:58,480 --> 00:07:02,360 Speaker 1: I should make like an adult version because they were 107 00:07:02,360 --> 00:07:04,720 Speaker 1: saying you could put brandy and ship in it when 108 00:07:04,760 --> 00:07:08,159 Speaker 1: I was googling it or and I obviously as a child, 109 00:07:08,960 --> 00:07:11,520 Speaker 1: my grandpa just gave me vodka straight, so I never 110 00:07:11,640 --> 00:07:16,080 Speaker 1: had it inside how much a shot a shot just 111 00:07:16,320 --> 00:07:20,640 Speaker 1: like bedtime, just like he would say. He would say, 112 00:07:21,440 --> 00:07:23,680 Speaker 1: which is like for your appetite, so with like dinner. 113 00:07:24,720 --> 00:07:27,480 Speaker 1: And recently my mom just found that out. She's like 114 00:07:27,800 --> 00:07:30,040 Speaker 1: when was this? I was like, I don't know. Me 115 00:07:30,120 --> 00:07:34,640 Speaker 1: and my cousin were like six. She's like, what da 116 00:07:35,040 --> 00:07:37,080 Speaker 1: is that? Is that normal? Though? To hit the vicar 117 00:07:37,160 --> 00:07:40,280 Speaker 1: early like a six? I mean, or like your grandpa 118 00:07:40,400 --> 00:07:42,360 Speaker 1: is kind of lit. He was like, our culture is 119 00:07:42,600 --> 00:07:47,640 Speaker 1: full of alcoholics, so who can tell? That sounds really good? 120 00:07:48,560 --> 00:07:51,200 Speaker 1: It's delicious and it's so easy to make. Yeah, you're 121 00:07:51,200 --> 00:07:54,040 Speaker 1: just saying vanilla sugar and I could do that right now, yeah, 122 00:07:54,240 --> 00:07:59,120 Speaker 1: do it right? Okay? And how would you would it 123 00:07:59,200 --> 00:08:01,480 Speaker 1: be in a bowl that you would eat with a spoon. 124 00:08:01,600 --> 00:08:04,080 Speaker 1: Would it be like something you just drank in a 125 00:08:04,200 --> 00:08:10,920 Speaker 1: mug with a spoon, No spoon with a spoon, yes, yeah, 126 00:08:11,320 --> 00:08:16,240 Speaker 1: m um. Our treats were cheese flats I've talked about 127 00:08:16,280 --> 00:08:21,720 Speaker 1: with a tortilla and cheese on top. Cheese slats flats, 128 00:08:22,160 --> 00:08:24,720 Speaker 1: that's what our family named them. We had a naming 129 00:08:24,800 --> 00:08:30,520 Speaker 1: ceremony and that that kind yeah exactly. And then but 130 00:08:30,640 --> 00:08:32,640 Speaker 1: you put it in the oven so crisps up, it's 131 00:08:32,679 --> 00:08:37,240 Speaker 1: pretty good. And then um uh, cinnamon toast was oh 132 00:08:37,360 --> 00:08:40,199 Speaker 1: I love cinnamon toast, the easiest thing. Oh, you're just 133 00:08:40,280 --> 00:08:44,839 Speaker 1: like a little butter sugar slater, sugar cinnamon with a 134 00:08:44,840 --> 00:08:49,560 Speaker 1: scoop of sugar. Also really like yeah, remember because remember 135 00:08:49,679 --> 00:08:52,319 Speaker 1: kicks kicks cereal, they didn't used to have really that 136 00:08:52,440 --> 00:08:54,199 Speaker 1: much sugar. And I used to get in trouble, like 137 00:08:54,520 --> 00:08:57,080 Speaker 1: getting caught like I would actually because my parents wouldn't 138 00:08:57,120 --> 00:09:00,280 Speaker 1: let me push sugar on the cereal. I would would 139 00:09:00,360 --> 00:09:03,640 Speaker 1: lift sugar packets from diners as a kid and have 140 00:09:03,800 --> 00:09:06,120 Speaker 1: that my God, and I'll be like, yeah, I'm gonna 141 00:09:06,120 --> 00:09:07,920 Speaker 1: eat in my room and like Loki, I'm like putting 142 00:09:07,920 --> 00:09:09,680 Speaker 1: all this like sweet Loans ship and they're like, what's 143 00:09:09,720 --> 00:09:14,200 Speaker 1: wrong with you? I'm sorry, this ship tastes like ship 144 00:09:14,320 --> 00:09:17,200 Speaker 1: without the sugar. It's just coming out of your shirt cuff. 145 00:09:17,679 --> 00:09:21,320 Speaker 1: Yeah right, what's that movie where they're doing that when 146 00:09:21,360 --> 00:09:28,800 Speaker 1: the yeah yeah or whatever? Yeah that like as a kid, 147 00:09:29,000 --> 00:09:36,760 Speaker 1: but the condoms are actually sugar packets? Disappointed? What is 148 00:09:36,800 --> 00:09:41,040 Speaker 1: something you think is overrated? Okay, So I've just really 149 00:09:41,080 --> 00:09:46,199 Speaker 1: been annoyed with leftist Twitter after the VP announcement, and 150 00:09:46,320 --> 00:09:51,160 Speaker 1: I'm just like, I'm sorry, uh that nothing is perfect 151 00:09:51,320 --> 00:09:55,400 Speaker 1: in the entire world. Can we stop talking about? Oh, 152 00:09:55,520 --> 00:09:57,840 Speaker 1: I don't want to vote for the losser of two evils. 153 00:09:58,440 --> 00:10:01,040 Speaker 1: That's literally what it is to make a choice between 154 00:10:01,120 --> 00:10:06,439 Speaker 1: two things, which thing is less bad? Yeah, I'm sorry. Like, 155 00:10:06,840 --> 00:10:10,480 Speaker 1: if you didn't understand from the last election till now 156 00:10:11,200 --> 00:10:16,040 Speaker 1: that actually, uh, the two evils were pretty different, then 157 00:10:16,080 --> 00:10:18,559 Speaker 1: I don't know what to tell you. And like, look, 158 00:10:19,160 --> 00:10:22,679 Speaker 1: no one's getting what they want. It's fucking politics. Just 159 00:10:22,920 --> 00:10:25,439 Speaker 1: be an adult. I think, yeah, I mean I think 160 00:10:25,480 --> 00:10:30,040 Speaker 1: that I feel the criticisms are valid, but I understand too, 161 00:10:30,200 --> 00:10:33,040 Speaker 1: like if it's there's no like point and then also 162 00:10:33,120 --> 00:10:35,080 Speaker 1: just saying like, well, I'm going to remove myself from 163 00:10:35,120 --> 00:10:38,120 Speaker 1: this thing and allow like just the Fascist Party to 164 00:10:38,240 --> 00:10:40,199 Speaker 1: just get a full head of steam going into the 165 00:10:40,280 --> 00:10:43,520 Speaker 1: next four years. I think that's like, that's that's pretty 166 00:10:43,559 --> 00:10:46,160 Speaker 1: reckless because that's the one of the only ways that 167 00:10:46,360 --> 00:10:48,240 Speaker 1: we can stay of that off very narrowly in the 168 00:10:48,320 --> 00:10:50,719 Speaker 1: context of this election. But also, like, I think the 169 00:10:50,760 --> 00:10:53,120 Speaker 1: frustration is just generally for people, Like to your point, 170 00:10:53,200 --> 00:10:55,720 Speaker 1: the idea that no one can get what they want, 171 00:10:56,080 --> 00:10:58,880 Speaker 1: I think should be really upsetting to people because there's 172 00:10:58,920 --> 00:11:02,079 Speaker 1: so many people seeking equality and to just have this 173 00:11:02,280 --> 00:11:05,400 Speaker 1: idea that nobody's going to get what they want is 174 00:11:06,320 --> 00:11:09,760 Speaker 1: just such a it's a it's it's hard to like 175 00:11:09,920 --> 00:11:12,679 Speaker 1: stomach that. And I think that's the thing. I just 176 00:11:12,960 --> 00:11:15,720 Speaker 1: mean it in a large way, not not like uh, 177 00:11:16,160 --> 00:11:19,640 Speaker 1: like a perfect candidate for each that's all I mean. 178 00:11:19,679 --> 00:11:21,600 Speaker 1: I don't mean it in like, oh, no, we can't 179 00:11:21,640 --> 00:11:24,280 Speaker 1: get what we want in terms of like workers rights 180 00:11:24,520 --> 00:11:27,360 Speaker 1: or rights for black people, like of course, I think 181 00:11:27,440 --> 00:11:30,199 Speaker 1: that that is non negotiable and that we will get that. 182 00:11:30,480 --> 00:11:34,040 Speaker 1: Like I think that we tend toward progress in the 183 00:11:34,200 --> 00:11:37,360 Speaker 1: long run. But if we haven't noticed how much the 184 00:11:37,559 --> 00:11:41,679 Speaker 1: worse things became from Trump being in office, then like, 185 00:11:41,760 --> 00:11:45,000 Speaker 1: I don't know what we're doing. And also it discounts 186 00:11:45,040 --> 00:11:48,400 Speaker 1: and ships on a lot of people, Like Kamala Harris 187 00:11:48,520 --> 00:11:51,439 Speaker 1: wasn't somebody that I was that interested in. You know, 188 00:11:51,559 --> 00:11:54,920 Speaker 1: I don't really care if someone makes someone cry on television, 189 00:11:55,120 --> 00:11:57,439 Speaker 1: Like I like that she did that, Like that's great 190 00:11:57,520 --> 00:12:00,880 Speaker 1: that Havanaugh was crying, But I'm not going to elect 191 00:12:00,960 --> 00:12:03,839 Speaker 1: somebody for that. And and she's a cop, and that 192 00:12:04,240 --> 00:12:06,680 Speaker 1: is my problem, and that's a lot of people's problem, 193 00:12:06,920 --> 00:12:13,520 Speaker 1: but just pack it up. But I didn't want it 194 00:12:13,559 --> 00:12:17,400 Speaker 1: to meet any shitty and like sarcastic stuff, because I 195 00:12:17,520 --> 00:12:21,079 Speaker 1: also saw a woman post a tweet about like a 196 00:12:21,280 --> 00:12:24,280 Speaker 1: nine three year old black woman that she was canvassing 197 00:12:24,520 --> 00:12:28,040 Speaker 1: on the phone with um was crying when she found 198 00:12:28,080 --> 00:12:30,240 Speaker 1: out that Harris was the VP, and she was talking 199 00:12:30,320 --> 00:12:33,760 Speaker 1: about picking cotton and ship and like having the fucking 200 00:12:34,840 --> 00:12:37,679 Speaker 1: wish that she could tell her grandmother that this is 201 00:12:37,760 --> 00:12:39,959 Speaker 1: something that's happening. And I don't think we should take 202 00:12:40,280 --> 00:12:44,120 Speaker 1: everything away from the people to whom it means something 203 00:12:44,520 --> 00:12:47,679 Speaker 1: by just being so shitty and callous. You can definitely 204 00:12:47,720 --> 00:12:50,040 Speaker 1: tweet an argument and be like, this is what I 205 00:12:50,080 --> 00:12:52,440 Speaker 1: don't like about this. But to do the thing where 206 00:12:52,480 --> 00:12:55,640 Speaker 1: you just completely negate and ship on the entire thing, 207 00:12:56,120 --> 00:12:59,839 Speaker 1: that's a disservice. The reason Republicans have fucking been able 208 00:12:59,880 --> 00:13:02,560 Speaker 1: to get their agenda across because they would rather swallow 209 00:13:02,679 --> 00:13:07,040 Speaker 1: the giant ship that is Trump than abandoned their party. 210 00:13:07,480 --> 00:13:10,520 Speaker 1: And it's not honorable, but that is how they've gotten 211 00:13:10,600 --> 00:13:15,160 Speaker 1: more ship done. Yeah, no, for sure. I mean the 212 00:13:15,600 --> 00:13:20,920 Speaker 1: Republicans are an insurgency. They're like a smaller portion of 213 00:13:21,000 --> 00:13:25,800 Speaker 1: the population. They're more willing to just all take their 214 00:13:25,840 --> 00:13:29,840 Speaker 1: marching orders and get behind it. And that is definitely 215 00:13:29,880 --> 00:13:32,839 Speaker 1: an advantage that they have. It's just like any time 216 00:13:32,880 --> 00:13:35,199 Speaker 1: I get angry about this kind of ship, I'm like, Okay, 217 00:13:35,320 --> 00:13:37,760 Speaker 1: that's more time I need to be putting into local politics. 218 00:13:37,920 --> 00:13:39,719 Speaker 1: That's more time I need to be putting into like 219 00:13:40,200 --> 00:13:42,840 Speaker 1: candidates that can make a big difference in like where 220 00:13:42,960 --> 00:13:45,160 Speaker 1: I live, instead of hoping that everything in the world 221 00:13:45,240 --> 00:13:47,560 Speaker 1: is going to get changed when I lect the president. 222 00:13:48,280 --> 00:13:50,240 Speaker 1: I think you're gonna find more people in line with 223 00:13:50,360 --> 00:13:54,920 Speaker 1: whatever your political ideologies are. The more local, you get 224 00:13:55,080 --> 00:13:57,199 Speaker 1: like at the federal level, like it's just it's just 225 00:13:57,400 --> 00:13:59,640 Speaker 1: hard to do that. So that's why you get these 226 00:13:59,720 --> 00:14:02,600 Speaker 1: candid It's who's like it's like the architect of mass 227 00:14:02,600 --> 00:14:07,120 Speaker 1: incarceration plus California's top cop is the ticket and then 228 00:14:07,280 --> 00:14:09,360 Speaker 1: but but that's just what it is because you don't 229 00:14:09,400 --> 00:14:13,080 Speaker 1: get there being like super hard lined with your ideals 230 00:14:13,160 --> 00:14:15,719 Speaker 1: or else. You typically those people fall into activism and 231 00:14:15,800 --> 00:14:18,439 Speaker 1: not politics. And I think that's what you're seeing now 232 00:14:18,640 --> 00:14:21,960 Speaker 1: is more on the local level, people moving from different 233 00:14:22,000 --> 00:14:24,720 Speaker 1: spaces into politics, and I think that's why we see 234 00:14:24,800 --> 00:14:26,760 Speaker 1: more of these candidas, like at least from Congress, like 235 00:14:26,800 --> 00:14:29,080 Speaker 1: from the House of Representatives down, you see a lot 236 00:14:29,160 --> 00:14:31,080 Speaker 1: more people that are like, oh, ship, like this is 237 00:14:31,160 --> 00:14:34,200 Speaker 1: somebody who's really kind of like on that wave. So 238 00:14:34,360 --> 00:14:38,440 Speaker 1: I hope that definitely keeps going because yeah, that's the trend. 239 00:14:38,600 --> 00:14:42,040 Speaker 1: I think that is good because I think people if 240 00:14:42,080 --> 00:14:46,320 Speaker 1: the frustration isn't directed into like putting action into your 241 00:14:46,400 --> 00:14:50,640 Speaker 1: local like local politics, local government, then that frustration is 242 00:14:50,680 --> 00:14:53,640 Speaker 1: really useless. And like that is what the other quote 243 00:14:53,720 --> 00:14:57,800 Speaker 1: unquote side wants, Like it'd be great for fascists if 244 00:14:57,880 --> 00:15:03,760 Speaker 1: we stopped engaging in the politics and general yeah and everything. Right. 245 00:15:04,480 --> 00:15:09,720 Speaker 1: What is something you think is underrated? Um? I think 246 00:15:11,280 --> 00:15:19,440 Speaker 1: that the movie Heartbreakers with Sigourney Weaver and Jennifer love Hewitt. Yeah, 247 00:15:21,200 --> 00:15:26,760 Speaker 1: that movie is really fun. I saw that in the theater. 248 00:15:28,080 --> 00:15:33,520 Speaker 1: I've seen it a lot. I really, Um. I was 249 00:15:33,640 --> 00:15:37,040 Speaker 1: a huge Jennifer love Hewett fan who wasn't are you 250 00:15:37,160 --> 00:15:40,320 Speaker 1: kidding me? She grew up or like in the like 251 00:15:40,440 --> 00:15:42,280 Speaker 1: in the Valley too and like to Luca Lake, so 252 00:15:42,360 --> 00:15:44,880 Speaker 1: like I remember people like she should be like a legend, 253 00:15:45,000 --> 00:15:48,800 Speaker 1: where like Jennifer Love Hewitt was at Bob's on Riverside, like, 254 00:15:48,920 --> 00:15:53,880 Speaker 1: oh my god, he would have never left Bob's because 255 00:15:54,200 --> 00:15:58,280 Speaker 1: she's so fine. But yeah, that movie really was remind me. 256 00:15:58,480 --> 00:16:01,720 Speaker 1: Are they like a mother and daughter or con artist team? Yes? 257 00:16:01,840 --> 00:16:04,680 Speaker 1: So it's like a remake of an older movie where 258 00:16:04,920 --> 00:16:08,080 Speaker 1: it was starring two men, I think, uh, and they 259 00:16:08,120 --> 00:16:11,480 Speaker 1: were they conned women out of their money. So this 260 00:16:11,640 --> 00:16:14,800 Speaker 1: movie is like a mother and daughter duo whukan like 261 00:16:15,040 --> 00:16:19,800 Speaker 1: millionaires out of money or whatever. And it starts with like, uh, 262 00:16:19,960 --> 00:16:25,280 Speaker 1: Sigourney Weaver being married or getting married to Rayiota, which 263 00:16:25,360 --> 00:16:31,400 Speaker 1: is so fun. And then Gene Hackman is the guy 264 00:16:31,520 --> 00:16:35,560 Speaker 1: that Sigourney Weaver tries to seduce, and he's like a 265 00:16:35,720 --> 00:16:41,800 Speaker 1: disgusting cigarette like smoker, right, and he and it's it's 266 00:16:41,960 --> 00:16:46,520 Speaker 1: it's delightful. There's a couple of salesmen or executive. Yeah. 267 00:16:46,520 --> 00:16:48,560 Speaker 1: I think he's like an owner of the I mean 268 00:16:48,640 --> 00:16:52,360 Speaker 1: he's really committed to the cigarettes. Um, not just like casual. 269 00:16:52,840 --> 00:16:56,160 Speaker 1: But yeah, and then, uh, you know how like you 270 00:16:56,240 --> 00:16:58,160 Speaker 1: watch a lot of movies that you still love or 271 00:16:58,440 --> 00:17:01,440 Speaker 1: like older movies back and you're like this is so unacceptable, 272 00:17:01,720 --> 00:17:05,560 Speaker 1: like feminism wise or rape culture wise, like this is 273 00:17:05,640 --> 00:17:10,680 Speaker 1: like I shudder. This movie has only like the tiniest bit, oh, 274 00:17:11,040 --> 00:17:14,000 Speaker 1: only four persons problematic, Yes, you know what I mean. 275 00:17:14,320 --> 00:17:16,959 Speaker 1: So the rest of it is pretty enjoyable. It's interesting, 276 00:17:17,080 --> 00:17:20,840 Speaker 1: like everybody that was in that movie, like Galafnakis is 277 00:17:20,920 --> 00:17:25,639 Speaker 1: in it, like in it. This is incredible. Jason Lee 278 00:17:26,000 --> 00:17:29,040 Speaker 1: is the love interest for Jennifer Love hewittt it's a 279 00:17:29,119 --> 00:17:33,760 Speaker 1: fucking great movie. Yeah, I don't and Bancroft, It's it's 280 00:17:33,800 --> 00:17:36,560 Speaker 1: got everything, It's got something for everybody. Anything with Hackman, 281 00:17:36,600 --> 00:17:40,000 Speaker 1: I feel like now it's like we kind of took 282 00:17:40,080 --> 00:17:43,800 Speaker 1: him for granted and then he retired. But yeah, I'm 283 00:17:43,960 --> 00:17:46,560 Speaker 1: going to watch this movie and watching him hack his 284 00:17:46,760 --> 00:17:50,080 Speaker 1: lungs out and keep thinking that his name is Hackman. Yeah, 285 00:17:50,160 --> 00:17:53,119 Speaker 1: I really just did everything for me. Yeah. Yeah, it's 286 00:17:53,119 --> 00:17:56,000 Speaker 1: funny because that movie came at a very innocent time 287 00:17:56,040 --> 00:18:00,560 Speaker 1: in America. March two one. Wow, I would have them 288 00:18:00,720 --> 00:18:04,800 Speaker 1: just a pre nine eleven world. Yeah, yeah, it's just fun. Yeah. 289 00:18:05,800 --> 00:18:08,880 Speaker 1: I missed watching movies that, like We're when you realize like, oh, 290 00:18:08,920 --> 00:18:11,480 Speaker 1: this is pre nine eleven, Like there's a guess sort 291 00:18:11,480 --> 00:18:14,440 Speaker 1: of a there's like a different sort of like carefree 292 00:18:14,480 --> 00:18:16,720 Speaker 1: attitude of like the characters. I feel that like it's 293 00:18:16,760 --> 00:18:20,879 Speaker 1: kind of absent after that. Yeah, and that's why we 294 00:18:21,000 --> 00:18:24,560 Speaker 1: love Friends so much. It all takes place in even 295 00:18:24,760 --> 00:18:28,400 Speaker 1: the episodes that come out after an eleven take place 296 00:18:28,440 --> 00:18:31,240 Speaker 1: in a Prenne eleven world. Let's not do that. The 297 00:18:31,280 --> 00:18:33,920 Speaker 1: Sigourney Weaver so fine in that movie. Like, I know 298 00:18:34,119 --> 00:18:36,399 Speaker 1: we all expect Jennifer Love You to be hot, but 299 00:18:36,480 --> 00:18:40,359 Speaker 1: Sigourney Weaver brings it in this movie. She's wearing fucking 300 00:18:40,560 --> 00:18:46,280 Speaker 1: all lace, fucking Unitard body suit things. She's she's fucking 301 00:18:46,400 --> 00:18:53,080 Speaker 1: fire in it. It's it's ripley. Uh. Finally, what is 302 00:18:53,080 --> 00:18:54,920 Speaker 1: a myth. What's something people think it's true you know 303 00:18:55,080 --> 00:18:59,320 Speaker 1: to be false. Um, I just like have been wearing 304 00:18:59,440 --> 00:19:04,640 Speaker 1: this um read bandana thing. I was going to compliment 305 00:19:04,760 --> 00:19:08,520 Speaker 1: you on it. You and yes, um it looks like 306 00:19:08,640 --> 00:19:11,159 Speaker 1: I'm in the blood. So that's a myth. No, the 307 00:19:11,280 --> 00:19:13,080 Speaker 1: myth was that people keep saying that I look like 308 00:19:13,240 --> 00:19:15,800 Speaker 1: Rosie the Riveter or just will always say the Rosie 309 00:19:15,840 --> 00:19:18,760 Speaker 1: the Riveter thing, and like Rosie the Riveter is such 310 00:19:18,800 --> 00:19:22,600 Speaker 1: a bummer fake feminism thing, and like, I don't know 311 00:19:22,920 --> 00:19:25,639 Speaker 1: if a lot of people know about it, but Rosie 312 00:19:25,680 --> 00:19:30,640 Speaker 1: the Riveter was just like, um, a concept to make 313 00:19:30,760 --> 00:19:36,560 Speaker 1: housewives go to work to help the war effort when Americans, 314 00:19:37,320 --> 00:19:41,080 Speaker 1: uh were in World War Two and then um, basically 315 00:19:41,200 --> 00:19:44,159 Speaker 1: afterwards they were like, okay, now you go back to 316 00:19:44,280 --> 00:19:49,520 Speaker 1: the house. So it was very much like this is temporary. 317 00:19:50,119 --> 00:19:53,280 Speaker 1: So Rose either Riveter isn't like this feminist symbol that 318 00:19:53,440 --> 00:19:56,640 Speaker 1: like we have now made her out to be. It's 319 00:19:56,720 --> 00:19:59,760 Speaker 1: just more of like a con where it was like, okay, ladies, 320 00:20:00,320 --> 00:20:02,960 Speaker 1: you can do it. You can do it. We don't 321 00:20:03,000 --> 00:20:07,000 Speaker 1: need you to do it anymore, all right, the mentor back, 322 00:20:07,119 --> 00:20:10,119 Speaker 1: the mentor back, Yeah exactly, and uh, yeah, and they 323 00:20:10,200 --> 00:20:13,320 Speaker 1: had to go to like lower paid positions, um and stuff. 324 00:20:13,400 --> 00:20:20,440 Speaker 1: And like the workforce, the women in the workforce percentage 325 00:20:20,520 --> 00:20:23,760 Speaker 1: decreased a lot, and like they had to take shittier 326 00:20:23,920 --> 00:20:27,520 Speaker 1: work if they did stay and like less money. Yay, 327 00:20:27,840 --> 00:20:33,760 Speaker 1: Rosie the riveter. All right, let's take a quick break 328 00:20:33,880 --> 00:20:48,520 Speaker 1: and we'll be right back. And we're back, and uh. 329 00:20:49,480 --> 00:20:55,960 Speaker 1: Trump participated in his usual you know, political mode of 330 00:20:56,440 --> 00:21:01,480 Speaker 1: saying the thing that we were all aculating that was 331 00:21:01,600 --> 00:21:04,960 Speaker 1: like his secret motive out loud. Yeah, he admitted that 332 00:21:05,160 --> 00:21:09,040 Speaker 1: without the postal service funding that he is actively blocking, 333 00:21:09,600 --> 00:21:13,800 Speaker 1: the election won't happen or will be very difficult to happen. 334 00:21:14,000 --> 00:21:19,159 Speaker 1: And because it's so he's the election. If they do 335 00:21:19,240 --> 00:21:20,800 Speaker 1: the mail in voting, then it's going to be a fraud. 336 00:21:21,240 --> 00:21:23,199 Speaker 1: So that's why I gotta block it. And then they 337 00:21:23,200 --> 00:21:25,879 Speaker 1: won't be a fraud. So his out loud he says, therefore, 338 00:21:26,400 --> 00:21:28,560 Speaker 1: they don't have the money to do the universal mail 339 00:21:28,600 --> 00:21:31,840 Speaker 1: in voting, so therefore they can't do it. How are 340 00:21:31,880 --> 00:21:33,200 Speaker 1: they going to do it if they don't have the 341 00:21:33,280 --> 00:21:38,879 Speaker 1: money to do it? Okay, asshole. So now we're I mean, 342 00:21:38,960 --> 00:21:41,720 Speaker 1: like this is just it's getting so much more and 343 00:21:41,800 --> 00:21:44,240 Speaker 1: more like louder and in your face of like I'm 344 00:21:44,520 --> 00:21:47,960 Speaker 1: I'm not fucking leaving, like I'm gonna fucking tear the 345 00:21:48,040 --> 00:21:51,399 Speaker 1: whole thing down, like I'm the postal Service. They're treating 346 00:21:51,440 --> 00:21:54,440 Speaker 1: it like a business now, where they're like, it costs 347 00:21:54,520 --> 00:21:57,359 Speaker 1: this much billion to run the postal Service. It's not 348 00:21:57,800 --> 00:22:01,520 Speaker 1: a motherfucking revenue generating business, you know what I mean. 349 00:22:01,600 --> 00:22:05,160 Speaker 1: It's like they don't talk about other budgets like education, 350 00:22:05,840 --> 00:22:08,280 Speaker 1: like or the military like that. I mean, like they 351 00:22:08,359 --> 00:22:11,560 Speaker 1: still find education funding, but not the mill at least 352 00:22:11,600 --> 00:22:14,320 Speaker 1: not the military, you know what I mean. Um, in 353 00:22:14,400 --> 00:22:16,040 Speaker 1: the same way that they're like sort of at like 354 00:22:16,359 --> 00:22:20,040 Speaker 1: juxtaposing these arguments about it, and the postmaster general that's 355 00:22:20,080 --> 00:22:23,359 Speaker 1: in there is already tearing ship down from the inside 356 00:22:23,520 --> 00:22:28,480 Speaker 1: like at the such an aggressive pace. It's it's unbelievable. 357 00:22:28,520 --> 00:22:32,280 Speaker 1: They have their postal workers I think in somewhere in 358 00:22:32,280 --> 00:22:35,080 Speaker 1: the Midwest that we're saying some of the sorting machines 359 00:22:35,240 --> 00:22:38,520 Speaker 1: were being removed from certain post office hubs, So that 360 00:22:38,600 --> 00:22:43,400 Speaker 1: means like sorting the mail becomes even more difficult because 361 00:22:43,440 --> 00:22:46,880 Speaker 1: they're actively removing the technologies to do that, to create 362 00:22:47,200 --> 00:22:50,240 Speaker 1: even more of a like a backlog. It's so so 363 00:22:50,440 --> 00:22:54,880 Speaker 1: there's also a medications thing that's pretty fucked up, right, 364 00:22:54,960 --> 00:22:58,080 Speaker 1: So like people a lot of people get their medications 365 00:22:58,680 --> 00:23:01,760 Speaker 1: mail ordered, so um, and the way that the refills 366 00:23:01,800 --> 00:23:04,880 Speaker 1: work is like they get activated at the right time 367 00:23:05,200 --> 00:23:07,320 Speaker 1: to get mailed out to you before you run out. 368 00:23:07,760 --> 00:23:10,000 Speaker 1: But now, um, there are a lot of places are 369 00:23:10,040 --> 00:23:13,480 Speaker 1: not doing like local sorting where like the things that's 370 00:23:13,520 --> 00:23:15,879 Speaker 1: going to like eight miles to you or six miles 371 00:23:15,960 --> 00:23:18,560 Speaker 1: to you, it doesn't go in a separate place. Now 372 00:23:18,920 --> 00:23:23,680 Speaker 1: they reroute it to like a central facility and then 373 00:23:24,000 --> 00:23:26,000 Speaker 1: it gets to go to the UM to the person. 374 00:23:26,160 --> 00:23:30,399 Speaker 1: So it's been like causing delays in UM people getting 375 00:23:30,400 --> 00:23:32,760 Speaker 1: their medications, which is super fucked up, I mean. And 376 00:23:32,840 --> 00:23:35,920 Speaker 1: this is again, this is all to create the perception 377 00:23:36,000 --> 00:23:40,560 Speaker 1: that the postal service is like inefficient, it sucks. Uh 378 00:23:40,800 --> 00:23:43,800 Speaker 1: we don't you know, it has like an approval or 379 00:23:43,880 --> 00:23:46,919 Speaker 1: something astronomically high with people, and like this is all 380 00:23:47,000 --> 00:23:49,160 Speaker 1: part of a campaign to try and bring those numbers 381 00:23:49,240 --> 00:23:52,760 Speaker 1: down and eventually, like most of how these processes work 382 00:23:52,840 --> 00:23:56,359 Speaker 1: in this country especially, then privatize it and then just 383 00:23:56,480 --> 00:23:57,879 Speaker 1: be like all right, so we let's take over this 384 00:23:57,960 --> 00:24:00,119 Speaker 1: thing you make a lot of money. This is do 385 00:24:00,240 --> 00:24:03,480 Speaker 1: that rather than putting taxpayer dollars into like a fantastic 386 00:24:03,560 --> 00:24:05,720 Speaker 1: service that is like one of the best parts of 387 00:24:06,359 --> 00:24:08,359 Speaker 1: one of the good things that runs and employs a 388 00:24:08,480 --> 00:24:11,600 Speaker 1: ton of people. This is one of those times when 389 00:24:12,200 --> 00:24:16,040 Speaker 1: it's impossible for me to conceive of a way of 390 00:24:16,240 --> 00:24:19,879 Speaker 1: covering the story from Fox's point of view. Um, and 391 00:24:20,320 --> 00:24:23,960 Speaker 1: so I went to Fox News dot com and their 392 00:24:24,119 --> 00:24:28,080 Speaker 1: big headline new hope for Mid East peace. Trump announces 393 00:24:28,200 --> 00:24:32,040 Speaker 1: historic diplomatic breakthrough between Israel and the United Arab Emirates. 394 00:24:32,560 --> 00:24:35,959 Speaker 1: So that's what's going on here. They're trying to make 395 00:24:36,040 --> 00:24:40,920 Speaker 1: him look like the peacemaker in chief rather than rat 396 00:24:41,040 --> 00:24:46,320 Speaker 1: fucker in chief. They're trying to mobilize the Jewish vote. Sure, 397 00:24:46,840 --> 00:24:51,200 Speaker 1: I mean, it's always so so fucking manipulative. It's to 398 00:24:51,280 --> 00:24:54,720 Speaker 1: get the old Jews, who like already don't know which 399 00:24:54,800 --> 00:24:57,600 Speaker 1: media will listen to you, to be like, hey, you 400 00:24:57,680 --> 00:25:00,959 Speaker 1: know what, he is the savior. You know what, if 401 00:25:01,080 --> 00:25:04,399 Speaker 1: there's one thing that he's done is secure Israel, that's 402 00:25:04,440 --> 00:25:11,840 Speaker 1: worth voting for the the actual I'm really surprised though. Two, 403 00:25:12,800 --> 00:25:16,480 Speaker 1: how I don't know, like I feel like every single 404 00:25:16,640 --> 00:25:19,639 Speaker 1: person needs to have their hair on fire about this, 405 00:25:20,480 --> 00:25:22,880 Speaker 1: you know, for him to out loud. I mean, we've 406 00:25:23,000 --> 00:25:26,360 Speaker 1: I'm not that this is the first time, but it's 407 00:25:26,480 --> 00:25:30,760 Speaker 1: just so craven and it is so cynical. And then 408 00:25:30,800 --> 00:25:34,720 Speaker 1: we just have like the like only Democrats signing a 409 00:25:34,840 --> 00:25:38,240 Speaker 1: letter being like, please fund the postal service. Where the fuck? 410 00:25:38,760 --> 00:25:41,680 Speaker 1: What is I'm like, what is going on? But yeah, 411 00:25:41,720 --> 00:25:44,680 Speaker 1: this is what I'm always finding myself, Like every time 412 00:25:44,720 --> 00:25:47,480 Speaker 1: I think like I can't be more shocked, Uh, we 413 00:25:47,560 --> 00:25:50,800 Speaker 1: find a way to go deeper. And so frequently the 414 00:25:50,880 --> 00:25:53,560 Speaker 1: people that voted for him are getting are getting fucked 415 00:25:53,840 --> 00:25:55,800 Speaker 1: the most because like a lot of the people who 416 00:25:55,840 --> 00:25:59,280 Speaker 1: live in rural places, for them like the post office 417 00:25:59,320 --> 00:26:04,200 Speaker 1: and mail is like a huge lifeline. And again they're 418 00:26:04,200 --> 00:26:08,639 Speaker 1: gonna get fucked more than other people. We'll see what 419 00:26:08,800 --> 00:26:12,119 Speaker 1: I mean again, if maybe Congress can do the right thing, 420 00:26:12,480 --> 00:26:15,280 Speaker 1: we'll see if this is pure it, we may just 421 00:26:15,359 --> 00:26:19,600 Speaker 1: see really this full on tampering with dismantling of the 422 00:26:19,680 --> 00:26:23,480 Speaker 1: postal service. There are so many postal workers and carriers 423 00:26:23,720 --> 00:26:25,960 Speaker 1: like who work for the service that are like asking 424 00:26:26,240 --> 00:26:29,639 Speaker 1: people that please pay more attention because part of the 425 00:26:29,720 --> 00:26:31,800 Speaker 1: whole like pride that they have is that like they 426 00:26:31,920 --> 00:26:33,840 Speaker 1: are able to sort all the mail in a day 427 00:26:33,920 --> 00:26:36,840 Speaker 1: and deliver everything on time. Like that's the that's the 428 00:26:37,600 --> 00:26:39,359 Speaker 1: the pride that they get out of it. And the 429 00:26:39,440 --> 00:26:43,359 Speaker 1: morale is so low now and it's all it's just 430 00:26:43,640 --> 00:26:45,800 Speaker 1: really really hard to watch because like if you've been 431 00:26:45,840 --> 00:26:47,800 Speaker 1: in any job where like the vibes have been good 432 00:26:48,320 --> 00:26:50,639 Speaker 1: and then some new boss comes in and fox it 433 00:26:50,720 --> 00:26:52,680 Speaker 1: all up and you're like, oh man, like this is 434 00:26:52,720 --> 00:26:55,440 Speaker 1: so wrong, this is so bad. It's it's like that 435 00:26:55,800 --> 00:26:58,680 Speaker 1: in a worse scale, and it's actually going to be 436 00:26:58,800 --> 00:27:02,159 Speaker 1: a really legitimate threat to voting, which is now it's 437 00:27:02,200 --> 00:27:04,400 Speaker 1: like okay, well then now you know if you can 438 00:27:04,520 --> 00:27:08,800 Speaker 1: vote in person, maybe you have to because stories like 439 00:27:08,920 --> 00:27:11,760 Speaker 1: that where they're like, yeah, no, you can't really do 440 00:27:12,560 --> 00:27:14,280 Speaker 1: mail in voting. Now you really need to go in 441 00:27:14,400 --> 00:27:16,719 Speaker 1: person to if you want Biden to win, because otherwise 442 00:27:16,760 --> 00:27:19,480 Speaker 1: Trump is going to claim that he won on the 443 00:27:19,640 --> 00:27:22,440 Speaker 1: night of the election and then we won't be able 444 00:27:22,480 --> 00:27:26,200 Speaker 1: to get him out. And then it's like that's really 445 00:27:26,240 --> 00:27:29,200 Speaker 1: our own and then it's like more just jarring. We're 446 00:27:29,240 --> 00:27:33,320 Speaker 1: like that's our only recourse, right, So like that's it. 447 00:27:33,600 --> 00:27:39,399 Speaker 1: You can't anyway. So and it's a fucking catch twenty 448 00:27:39,480 --> 00:27:42,520 Speaker 1: two because they're going to make it hard to vote 449 00:27:42,520 --> 00:27:45,760 Speaker 1: in person, closing down, pulling stations as always and like 450 00:27:45,920 --> 00:27:50,439 Speaker 1: disenfranchising voters based on like ideas and all that stuff. 451 00:27:50,480 --> 00:27:52,720 Speaker 1: So it's like, oh, well you can't do it in person, 452 00:27:52,840 --> 00:27:56,240 Speaker 1: you can do it by mail. So mm hmm, yeah, 453 00:27:56,320 --> 00:28:02,560 Speaker 1: I mean this is open you know, authoritarianism, fascism. They're 454 00:28:02,640 --> 00:28:05,960 Speaker 1: just trying to use their power to stay in power. 455 00:28:06,280 --> 00:28:08,280 Speaker 1: They've been telling us that's what they're gonna do from 456 00:28:08,320 --> 00:28:12,280 Speaker 1: the start. Um, I don't I mean, I don't know 457 00:28:12,400 --> 00:28:14,720 Speaker 1: what the what the answer is. I mean, look at 458 00:28:14,760 --> 00:28:17,240 Speaker 1: but look at Belarus. What's happening in Belarus? You know 459 00:28:17,400 --> 00:28:19,000 Speaker 1: you have you have somebody to be like, nah, I 460 00:28:19,119 --> 00:28:22,080 Speaker 1: just I just made up the election results. People go 461 00:28:22,160 --> 00:28:24,440 Speaker 1: on the streets, they're getting brutalized. Now we're seeing these 462 00:28:24,480 --> 00:28:28,159 Speaker 1: like propaganda video like them having like these protesters that 463 00:28:28,240 --> 00:28:31,000 Speaker 1: look visibly beaten and being like, oh, you're gonna start 464 00:28:31,000 --> 00:28:34,119 Speaker 1: trying to start another revolution now, and they're like no, no, 465 00:28:34,400 --> 00:28:36,720 Speaker 1: Like it's just like it's very dark. But this is 466 00:28:36,920 --> 00:28:39,440 Speaker 1: I mean, like you if when you're looking at someone 467 00:28:39,520 --> 00:28:42,520 Speaker 1: who's saying I refuse to let go of my power. 468 00:28:43,360 --> 00:28:45,840 Speaker 1: It's it doesn't end with them being like, oh, you 469 00:28:45,920 --> 00:28:47,520 Speaker 1: know what, I'm tired of it. Okay, I guess I'll 470 00:28:47,520 --> 00:28:49,480 Speaker 1: be held accountable. I guess I'll start paying these bills 471 00:28:49,520 --> 00:28:53,200 Speaker 1: and maybe I'll answer to some legal cases that I'm facing. 472 00:28:53,400 --> 00:28:55,120 Speaker 1: I don't think that's going to happen. And when you 473 00:28:55,200 --> 00:28:58,720 Speaker 1: look at even now, every dimension that they are trying 474 00:28:58,760 --> 00:29:02,880 Speaker 1: to manipulate this election is so so dark and cynical 475 00:29:03,040 --> 00:29:06,000 Speaker 1: to like, even the whole Jared Kushner and Kanye thing 476 00:29:06,760 --> 00:29:11,480 Speaker 1: is so alarming, okay, because we're like, Okay, Kanye's running 477 00:29:11,520 --> 00:29:12,800 Speaker 1: for president, that's what he wants to do. And then 478 00:29:12,840 --> 00:29:14,880 Speaker 1: it's like who's helping him, and like, oh god, it's 479 00:29:14,920 --> 00:29:18,000 Speaker 1: all these Republicans and we're like, okay, so he's there too, 480 00:29:18,080 --> 00:29:21,920 Speaker 1: because the Republicans think all black people will just vote 481 00:29:21,960 --> 00:29:25,280 Speaker 1: for the rapper and that'll help siphon both votes away 482 00:29:25,320 --> 00:29:27,840 Speaker 1: from Biden. You know, Kannie even knew, Like in an 483 00:29:27,960 --> 00:29:30,840 Speaker 1: interview with Forbes, he was essentially acknowledging that he knew 484 00:29:30,920 --> 00:29:33,240 Speaker 1: what would happen. But at this point he's under such 485 00:29:33,640 --> 00:29:37,560 Speaker 1: he's under such severe distress at the moment that it's 486 00:29:37,640 --> 00:29:40,480 Speaker 1: hard to know like what he's aware he's doing. What 487 00:29:40,720 --> 00:29:43,280 Speaker 1: if he knows if he's being manipulated, Because in this 488 00:29:43,480 --> 00:29:47,040 Speaker 1: Forbes article they talk about how him and Jared Kushner 489 00:29:47,080 --> 00:29:51,600 Speaker 1: talk almost daily and he's using like reverse psychology on 490 00:29:51,720 --> 00:29:54,840 Speaker 1: Kanye West to keep him in the race for president. 491 00:29:55,200 --> 00:29:57,720 Speaker 1: Most people are saying, like, you know, like when you 492 00:29:57,760 --> 00:29:59,360 Speaker 1: look at the states, you can even be on the ball, 493 00:29:59,440 --> 00:30:02,320 Speaker 1: Like you don't really have a path to actually becoming president. 494 00:30:03,080 --> 00:30:06,000 Speaker 1: It's going to be very difficult. And that like sort 495 00:30:06,040 --> 00:30:08,040 Speaker 1: of got him a little bit disheartened. And then like 496 00:30:08,120 --> 00:30:09,880 Speaker 1: on Twitter is like, no, my my whole thing is 497 00:30:09,920 --> 00:30:12,080 Speaker 1: to win. And when you read this article, people are 498 00:30:12,080 --> 00:30:14,440 Speaker 1: saying this is from the Forbes article quote, and that 499 00:30:14,560 --> 00:30:16,920 Speaker 1: seems to be the message that Kushner has been feeding 500 00:30:16,960 --> 00:30:20,160 Speaker 1: him talking about Kanye quote, Jared's scared and doesn't want 501 00:30:20,200 --> 00:30:22,520 Speaker 1: me to run because he knows that I can win. 502 00:30:22,920 --> 00:30:25,920 Speaker 1: West has told numerous associates after his conversations with the 503 00:30:25,960 --> 00:30:29,120 Speaker 1: president's son in law. So Jared Kushner's getting him on 504 00:30:29,120 --> 00:30:31,440 Speaker 1: the phone, gassing him up, not even saying like, oh, 505 00:30:31,520 --> 00:30:33,280 Speaker 1: don't worry about where you're on in the ballot. Man, 506 00:30:33,360 --> 00:30:36,520 Speaker 1: like you people people like you are feeling you so much, 507 00:30:36,920 --> 00:30:38,720 Speaker 1: but like it worries us a little bit too, man, 508 00:30:38,800 --> 00:30:40,960 Speaker 1: because you know, like you got the people's ear. And 509 00:30:41,080 --> 00:30:43,720 Speaker 1: so again from this article they say that message, the 510 00:30:43,800 --> 00:30:46,240 Speaker 1: sources close to West acknowledge is the exact one that 511 00:30:46,280 --> 00:30:48,760 Speaker 1: will embolden West to stay in the race. This is 512 00:30:48,800 --> 00:30:50,520 Speaker 1: a direct quote from somebody says if one of you, 513 00:30:50,680 --> 00:30:52,560 Speaker 1: if you know him for more than twenty minutes, you 514 00:30:52,680 --> 00:30:55,520 Speaker 1: know that will work. He's just like a kid. The 515 00:30:55,600 --> 00:30:57,240 Speaker 1: more you tell him he can't do a thing, the 516 00:30:57,320 --> 00:30:59,200 Speaker 1: more he'll do it. He has a tremendous drive to 517 00:30:59,280 --> 00:31:02,960 Speaker 1: prove people. And that's being out just right in front 518 00:31:02,960 --> 00:31:06,760 Speaker 1: of our face. Is just manipulated. It's so sad to 519 00:31:07,480 --> 00:31:13,400 Speaker 1: have somebody being exploited by people that ultimately hate him 520 00:31:13,680 --> 00:31:20,320 Speaker 1: and look down upon him, and so tragic, so tragic. 521 00:31:20,800 --> 00:31:23,960 Speaker 1: If if someone did that to me, like whatever, I'm bipolar, 522 00:31:24,080 --> 00:31:26,280 Speaker 1: and if when I was at my worst someone was like, 523 00:31:26,400 --> 00:31:28,640 Speaker 1: you know, would be cool is to just funk with Sophie. 524 00:31:28,720 --> 00:31:33,440 Speaker 1: It's pretty easy that it would be and cruel and 525 00:31:33,920 --> 00:31:37,520 Speaker 1: not the really fucked up thing too, is right. It 526 00:31:37,640 --> 00:31:40,760 Speaker 1: seems subtle, like hey, you you know, like you've got 527 00:31:40,840 --> 00:31:44,480 Speaker 1: the vision man, the easy vision, like this could this 528 00:31:44,560 --> 00:31:47,840 Speaker 1: could really be something. While they're saying that to him, 529 00:31:48,560 --> 00:31:51,440 Speaker 1: these operatives who are out here gathering signatures to get 530 00:31:51,560 --> 00:31:54,600 Speaker 1: him on ballots, specifically in Montana where you know, the 531 00:31:55,240 --> 00:31:58,760 Speaker 1: local journalists were like questioning some of these people who 532 00:31:58,800 --> 00:32:01,520 Speaker 1: are grabbing their signatures. Is there framing it like this quote, 533 00:32:01,680 --> 00:32:04,200 Speaker 1: you want to help Trump, We're trying to take votes 534 00:32:04,200 --> 00:32:07,360 Speaker 1: away from from creepy uncle Joe. And then they go 535 00:32:07,440 --> 00:32:09,520 Speaker 1: to it. They went to another like a park where 536 00:32:09,520 --> 00:32:14,560 Speaker 1: they saw more organizers to fair goers. Same exact approach 537 00:32:14,640 --> 00:32:17,480 Speaker 1: is sort of like, hey, help Trump by signing the 538 00:32:17,560 --> 00:32:20,400 Speaker 1: petition to get Kanye West on the ballot. Therefore Joe 539 00:32:20,480 --> 00:32:23,840 Speaker 1: Biden will probably have less votes. That's all, Like, it's 540 00:32:24,160 --> 00:32:25,920 Speaker 1: it's just there. That's how it's being laid out to 541 00:32:26,080 --> 00:32:31,040 Speaker 1: Trump supporters. Yeah, let's exploit this man of color and 542 00:32:31,480 --> 00:32:35,600 Speaker 1: whatever state he's in for just a vile, cynical aim 543 00:32:35,800 --> 00:32:37,760 Speaker 1: of just trying to split some votes. And it's not 544 00:32:38,400 --> 00:32:40,200 Speaker 1: I don't even know how effective that's going to be. 545 00:32:40,360 --> 00:32:43,600 Speaker 1: It's just so fucking I feel like we need a 546 00:32:43,680 --> 00:32:49,440 Speaker 1: new like word for super cynicism, Like the like compounded 547 00:32:49,520 --> 00:32:53,720 Speaker 1: cynicism because it's just and to exploit someone's like superpower. 548 00:32:54,640 --> 00:32:56,640 Speaker 1: And I don't mean his mental illness. I mean like 549 00:32:57,040 --> 00:33:03,080 Speaker 1: the fact that Kanye has so successful precisely because he 550 00:33:03,320 --> 00:33:06,000 Speaker 1: didn't let people tell him that he couldn't achieve his 551 00:33:06,160 --> 00:33:10,840 Speaker 1: dreams and to use that like incredible driving force that 552 00:33:11,160 --> 00:33:17,560 Speaker 1: made him such a successful artist, and it's so evil 553 00:33:17,640 --> 00:33:23,000 Speaker 1: to use against him. Yeah, it's truly some some I 554 00:33:23,040 --> 00:33:28,240 Speaker 1: don't know, ethical funked up, multiple levels of hades level 555 00:33:28,360 --> 00:33:33,000 Speaker 1: fucked up. Pennsylvania is not bad enough for these even 556 00:33:33,240 --> 00:33:35,480 Speaker 1: so I don't even know, but it's but this is 557 00:33:35,480 --> 00:33:39,680 Speaker 1: where they're at. And I mean, like, you know, as 558 00:33:39,760 --> 00:33:41,640 Speaker 1: we as we go forward, we still see that the 559 00:33:41,680 --> 00:33:46,480 Speaker 1: foreign interference is happening, like whether it's uh Ted Cruz 560 00:33:46,560 --> 00:33:50,640 Speaker 1: like parenting and misinformation or like a fake Antifa website 561 00:33:50,680 --> 00:33:53,360 Speaker 1: that conservative media picked up that was actually you know, 562 00:33:54,400 --> 00:33:59,200 Speaker 1: registered to like a Russian domain. Like it's all they're 563 00:33:59,280 --> 00:34:02,160 Speaker 1: doing every single thing they can. And you can even 564 00:34:02,200 --> 00:34:06,720 Speaker 1: see it with the like overt just disgusting even racist 565 00:34:06,800 --> 00:34:10,640 Speaker 1: attacks on Kmalay Harris out the gates, like just she's 566 00:34:10,640 --> 00:34:13,480 Speaker 1: a mad woman and these people, these people are crazy, 567 00:34:13,719 --> 00:34:15,560 Speaker 1: like just out there for you all to be like, 568 00:34:15,640 --> 00:34:17,840 Speaker 1: this is how we're gonna win. We're just gonna just 569 00:34:18,160 --> 00:34:21,600 Speaker 1: bring the fucking worst out and just see what happens. 570 00:34:21,600 --> 00:34:25,120 Speaker 1: And I'm afraid doing that in the process man causes. 571 00:34:25,160 --> 00:34:27,720 Speaker 1: So we've are we're already so damaged as a country, 572 00:34:28,120 --> 00:34:32,440 Speaker 1: like no matter what the outcome, like this, this election 573 00:34:32,600 --> 00:34:35,480 Speaker 1: is going to put us through that was bad. This 574 00:34:35,600 --> 00:34:42,680 Speaker 1: is oh yeah, prepare thyself. It's yeah, it's gonna take 575 00:34:42,719 --> 00:34:46,920 Speaker 1: a long time, uh with this election. Oh yeah. I 576 00:34:46,960 --> 00:34:49,000 Speaker 1: mean people are like it's not going to be decided 577 00:34:49,040 --> 00:34:52,040 Speaker 1: on election night. It's not gonna be designed in November. 578 00:34:52,320 --> 00:34:55,080 Speaker 1: I don't think who knows. And then this year is 579 00:34:55,120 --> 00:34:57,080 Speaker 1: so unpredictable. You can all see like Trump is just 580 00:34:57,160 --> 00:34:59,600 Speaker 1: like I'm taking a trip to Russia and it's okay, 581 00:34:59,600 --> 00:35:02,120 Speaker 1: and the well to come back. Sorry y'all tromp out. 582 00:35:03,080 --> 00:35:07,480 Speaker 1: That would be the dream. Um just on election like 583 00:35:07,600 --> 00:35:13,520 Speaker 1: prognosticating there's like eight open there pick and they have 584 00:35:13,680 --> 00:35:18,120 Speaker 1: Biden winning at the exact same percentage that Clinton that 585 00:35:18,320 --> 00:35:25,359 Speaker 1: had Clinton winning on the night before the which if 586 00:35:25,400 --> 00:35:27,680 Speaker 1: you have a free throw shooter going to the line 587 00:35:27,920 --> 00:35:33,000 Speaker 1: at the end of the game shooting you feel like ship. No, 588 00:35:33,480 --> 00:35:36,240 Speaker 1: you want Mark Price pulling up right, you want nineties, 589 00:35:37,239 --> 00:35:39,799 Speaker 1: and that's just not gonna happen. Was the best free 590 00:35:39,800 --> 00:35:44,640 Speaker 1: throw shooter back then, back then probably Price, Yeah, I 591 00:35:44,680 --> 00:35:48,239 Speaker 1: mean Steve Nash was one of the great Curry. I 592 00:35:48,360 --> 00:35:51,239 Speaker 1: think it's the best of all throws. That's fascinating is 593 00:35:51,320 --> 00:35:53,000 Speaker 1: that it's a lot more accurate if you do it 594 00:35:53,120 --> 00:35:55,800 Speaker 1: with two hands from between your legs. But because it 595 00:35:55,880 --> 00:35:59,640 Speaker 1: doesn't look masculine, basketball players won't do it right. Isn't 596 00:35:59,640 --> 00:36:02,000 Speaker 1: like the record holders has doing it grant because we 597 00:36:02,040 --> 00:36:06,040 Speaker 1: even call it exactly, it's to be like, look at 598 00:36:06,120 --> 00:36:09,879 Speaker 1: us problematic, you know what I mean, it's gross. It's 599 00:36:10,440 --> 00:36:14,480 Speaker 1: women's work. Not women's work, old women's work. We need 600 00:36:14,560 --> 00:36:16,800 Speaker 1: someone to fully disrupt the game with like Yo, that 601 00:36:16,880 --> 00:36:19,840 Speaker 1: shooting technic is fucked up, but they cannot miss, and 602 00:36:19,920 --> 00:36:22,440 Speaker 1: it's all the rage. I mean, that's what happened. If 603 00:36:22,480 --> 00:36:25,279 Speaker 1: he was brave enough, this would be his next thing. 604 00:36:26,560 --> 00:36:29,560 Speaker 1: Rick Berry shot from between his legs granny style eighty 605 00:36:29,680 --> 00:36:35,400 Speaker 1: nine point three percent career free throw shooting topped out 606 00:36:35,480 --> 00:36:42,160 Speaker 1: at ninety four point seven in season. He got Wilt 607 00:36:42,280 --> 00:36:47,440 Speaker 1: Chamberlain to start shooting that way. For one season, his 608 00:36:48,040 --> 00:36:51,240 Speaker 1: free throw shooting percentage went up like thirty percentage points, 609 00:36:51,280 --> 00:36:54,520 Speaker 1: and like he became a a solid free throw shooter, 610 00:36:54,640 --> 00:36:57,400 Speaker 1: which made him the most unstoppable person in the history 611 00:36:57,440 --> 00:37:00,560 Speaker 1: of basketball. And then yeah, he thought he looked wax, 612 00:37:00,680 --> 00:37:03,840 Speaker 1: so he changed back to shooting horribly. And he's like, 613 00:37:04,000 --> 00:37:06,920 Speaker 1: and I have sex nine times a day. I mean, 614 00:37:08,840 --> 00:37:25,120 Speaker 1: he's just say that about me. Um, alright, let's not 615 00:37:25,280 --> 00:37:32,759 Speaker 1: talking about the election. Damn yeah about look at us, 616 00:37:32,880 --> 00:37:36,560 Speaker 1: Look at us. There's also the guy who I was 617 00:37:36,640 --> 00:37:39,239 Speaker 1: feeling like, I'm just trying to you know, this is 618 00:37:39,320 --> 00:37:41,279 Speaker 1: not stuff that I put in any stock in. This 619 00:37:41,520 --> 00:37:46,000 Speaker 1: is just a temporary way for me to get to 620 00:37:46,040 --> 00:37:49,600 Speaker 1: sleep at night because I don't drink anymore. Uh, the 621 00:37:50,000 --> 00:37:52,480 Speaker 1: like looking at these polls and being like, okay, well, 622 00:37:52,560 --> 00:37:55,359 Speaker 1: maybe like Biden will win. There's also the guy who 623 00:37:55,920 --> 00:38:00,279 Speaker 1: who's predicted every single presidential election from one when he 624 00:38:00,320 --> 00:38:04,880 Speaker 1: started putting this like thing together forward. He's correctly predicted 625 00:38:04,920 --> 00:38:07,800 Speaker 1: them all, including Trump winning. He has Biden winning. But 626 00:38:07,880 --> 00:38:11,120 Speaker 1: then when you look at his methodology, it's like based 627 00:38:11,200 --> 00:38:15,600 Speaker 1: on him saying that Trump isn't charismatic, which is like 628 00:38:15,719 --> 00:38:21,120 Speaker 1: a totally subjective distinction, and I don't know, this is 629 00:38:21,760 --> 00:38:24,960 Speaker 1: you gotta vote man every single and we just that's 630 00:38:24,960 --> 00:38:28,200 Speaker 1: all we can keep saying in regards to this election specifically, 631 00:38:28,719 --> 00:38:32,960 Speaker 1: that's the all, Like you have to act like the 632 00:38:33,080 --> 00:38:35,480 Speaker 1: guy is trying to steal the election, which he is, 633 00:38:35,840 --> 00:38:40,120 Speaker 1: so therefore please act accordingly. Uh And you know, well, 634 00:38:40,239 --> 00:38:43,399 Speaker 1: as we get closer and closer, see what else has 635 00:38:43,480 --> 00:38:48,000 Speaker 1: to be done? Yeah, well, speaking of things that US 636 00:38:49,000 --> 00:38:53,879 Speaker 1: people can do in in the face of protest, horrifying 637 00:38:54,920 --> 00:39:00,520 Speaker 1: abusive power. So there's one of one of the really 638 00:39:00,560 --> 00:39:06,279 Speaker 1: effective tactics of the uprising after George Floyd's lynching was 639 00:39:06,920 --> 00:39:10,799 Speaker 1: like taking the protests to the neighborhoods where mayors live, 640 00:39:10,880 --> 00:39:15,759 Speaker 1: where governors live, taking it to the governor's mansion. Right. So, 641 00:39:15,880 --> 00:39:19,240 Speaker 1: South Dakota is doing something that I think might become 642 00:39:19,280 --> 00:39:23,400 Speaker 1: a trend where they are building a four hundred thousand 643 00:39:23,480 --> 00:39:27,080 Speaker 1: dollar fence around the residents of the state governor. Yep, 644 00:39:27,760 --> 00:39:31,760 Speaker 1: you know, I mean, Christie Nome has made a fucking 645 00:39:32,040 --> 00:39:35,719 Speaker 1: mess of things over there. She constantly is parenting the 646 00:39:35,800 --> 00:39:38,600 Speaker 1: president whatever he's like, yeah, whatever he says, cool, So 647 00:39:38,760 --> 00:39:41,800 Speaker 1: like let's just do that. Butting heads with tribal leaders, 648 00:39:42,160 --> 00:39:47,000 Speaker 1: the meat packing industry, teachers, anybody. Um. So yeah, I 649 00:39:47,040 --> 00:39:49,520 Speaker 1: think it was natural that people are with all the 650 00:39:49,880 --> 00:39:54,120 Speaker 1: economic fallout, the societal fallout, they are displeased, and they're 651 00:39:54,120 --> 00:39:56,000 Speaker 1: just saying like, yeah, man, there's like I guess she's 652 00:39:56,000 --> 00:39:59,520 Speaker 1: got some threats, so let's just put up this wall. Um. 653 00:39:59,719 --> 00:40:01,960 Speaker 1: And you know, I don't they still don't know how 654 00:40:02,000 --> 00:40:03,680 Speaker 1: they're going to pay for it. They don't know who 655 00:40:03,880 --> 00:40:05,560 Speaker 1: the taxpayers pay for it. Is there going to be 656 00:40:05,600 --> 00:40:08,759 Speaker 1: some private funding? Like do is that really? Do we 657 00:40:09,000 --> 00:40:11,600 Speaker 1: do taxpayers need to be paying for something like that? 658 00:40:12,040 --> 00:40:13,879 Speaker 1: But it's interesting to just see like we've gone from 659 00:40:14,000 --> 00:40:18,160 Speaker 1: having like already are very well made metaphorical fences that 660 00:40:18,239 --> 00:40:21,520 Speaker 1: we've put up in our perceptions, like as Americans to 661 00:40:21,600 --> 00:40:25,799 Speaker 1: like avoid actually interacting with the dark reality of the country. Um, 662 00:40:25,920 --> 00:40:28,200 Speaker 1: and now it's like, oh, now we're crossing into Yeah, 663 00:40:28,239 --> 00:40:31,080 Speaker 1: we also need the physical barriers to keep angry people 664 00:40:31,200 --> 00:40:34,279 Speaker 1: that we are disenfranchising just far away enough that their 665 00:40:34,320 --> 00:40:37,399 Speaker 1: sounds don't disrupt my existence as I bury my head 666 00:40:37,440 --> 00:40:41,040 Speaker 1: further into the sand. This is such monarchy ship. It's 667 00:40:41,120 --> 00:40:44,719 Speaker 1: like it's straight up French revolution ship. It's like, oh, no, 668 00:40:45,000 --> 00:40:50,160 Speaker 1: we won't make the excess and the fucked upness of 669 00:40:50,200 --> 00:40:57,680 Speaker 1: our government like change. Instead we just ignore it up. Yeah, exactly, 670 00:40:58,280 --> 00:41:01,080 Speaker 1: it's so gross. What just shows that they're like, that's 671 00:41:01,120 --> 00:41:04,000 Speaker 1: their posture is, well, we're not going to change, So 672 00:41:04,120 --> 00:41:05,640 Speaker 1: if you're going to keep this up, then we need 673 00:41:05,680 --> 00:41:08,560 Speaker 1: to figure out how to deal with y'all. Um. And 674 00:41:08,800 --> 00:41:12,239 Speaker 1: that's really just like okay, that's um, that's one way 675 00:41:12,280 --> 00:41:15,320 Speaker 1: to solve it and not to actually lead uh and 676 00:41:15,440 --> 00:41:18,600 Speaker 1: then just kind of in the same vein, because all 677 00:41:18,640 --> 00:41:21,279 Speaker 1: of this is in the same vein of just the 678 00:41:21,719 --> 00:41:29,680 Speaker 1: powerful abusing the everybody else. Uber. So a California court 679 00:41:30,600 --> 00:41:37,120 Speaker 1: has determined that Uber needs to treat its employees like employees. 680 00:41:37,800 --> 00:41:41,800 Speaker 1: Well yeah, yeah, that was a big deal. Their independent contractors. 681 00:41:42,360 --> 00:41:44,560 Speaker 1: That's why we can treat them like ship because if 682 00:41:44,560 --> 00:41:47,880 Speaker 1: their employees, then we have to give them ship. Then 683 00:41:47,960 --> 00:41:53,160 Speaker 1: it's literally Uber's entire business model. Yeah. Um, in this 684 00:41:53,320 --> 00:41:55,680 Speaker 1: court I think it's the California Supreme Court or there's 685 00:41:55,680 --> 00:41:59,680 Speaker 1: a Supreme Court and saying yeah, here's the deal, like 686 00:41:59,800 --> 00:42:02,239 Speaker 1: if they if they meet this these requirements, then they 687 00:42:02,280 --> 00:42:06,799 Speaker 1: are a independent contractor. But based on this methodology, these 688 00:42:06,840 --> 00:42:09,719 Speaker 1: are employees therefore, you need to figure out how to 689 00:42:09,880 --> 00:42:13,040 Speaker 1: transition to this employee model where your drivers are now 690 00:42:13,160 --> 00:42:17,719 Speaker 1: actually employed by you Uber. And it's if you know 691 00:42:18,480 --> 00:42:21,640 Speaker 1: anyone who drives Uber, if you've driven Uber, you know 692 00:42:21,840 --> 00:42:24,920 Speaker 1: it's difficult. You know it's not easy. You know the 693 00:42:24,960 --> 00:42:27,080 Speaker 1: amount of hours you have to spend to make it 694 00:42:27,280 --> 00:42:30,440 Speaker 1: worth your while is a lot. I mean, people who 695 00:42:30,480 --> 00:42:34,480 Speaker 1: are traveling from like outlying counties to drive Uber in 696 00:42:34,719 --> 00:42:38,160 Speaker 1: l A because there's more the possibility of rides is higher. 697 00:42:38,680 --> 00:42:41,839 Speaker 1: But like they're driving like nearly two hours to get here, 698 00:42:42,360 --> 00:42:44,200 Speaker 1: and to think of that as your commute, and then 699 00:42:44,320 --> 00:42:46,560 Speaker 1: how you have no time after that to even have 700 00:42:46,680 --> 00:42:48,799 Speaker 1: with your family and just have enough to cover your 701 00:42:48,840 --> 00:42:51,680 Speaker 1: gas and make a little bit more. It's a really really, 702 00:42:51,800 --> 00:42:55,560 Speaker 1: really difficult way to sustain yourself. And by not having 703 00:42:55,680 --> 00:42:58,880 Speaker 1: the like benefits like an employee, you would like contributions 704 00:42:58,920 --> 00:43:03,120 Speaker 1: to your social security, fucking sick leave, fucking minimum wage, 705 00:43:03,280 --> 00:43:05,040 Speaker 1: you know what I mean. Because their whole thing is well, 706 00:43:05,080 --> 00:43:08,120 Speaker 1: if anybody's the customer, it's the driver. That was one 707 00:43:08,160 --> 00:43:09,960 Speaker 1: of the legal arguments they said. It's because what we're 708 00:43:10,000 --> 00:43:12,360 Speaker 1: doing is actually providing a service for the driver to 709 00:43:12,480 --> 00:43:15,000 Speaker 1: interact with a customer that so they can make money 710 00:43:15,080 --> 00:43:19,800 Speaker 1: that way. Um, And it's just a really uh it's 711 00:43:19,880 --> 00:43:22,279 Speaker 1: it's getting darker and darker now and I keep this 712 00:43:22,360 --> 00:43:26,120 Speaker 1: has been the theme of this episode, um because right 713 00:43:26,200 --> 00:43:30,440 Speaker 1: now people like Uber, even door Dash and Lift. They're 714 00:43:30,480 --> 00:43:32,919 Speaker 1: putting money in a ballot proposition in California called Prop 715 00:43:33,000 --> 00:43:35,719 Speaker 1: twenty two. And you know some states have it has 716 00:43:35,760 --> 00:43:37,399 Speaker 1: been out. You know, there's when you have ballot proper 717 00:43:37,400 --> 00:43:40,360 Speaker 1: ballot initiatives. Rich people can just get together and be like, 718 00:43:40,520 --> 00:43:42,279 Speaker 1: we can put something on the ballot and hopefully make 719 00:43:42,320 --> 00:43:45,200 Speaker 1: it a low to protect our business. And in this one, 720 00:43:45,520 --> 00:43:47,960 Speaker 1: they're putting a ballot initiative that will be up to 721 00:43:48,040 --> 00:43:51,800 Speaker 1: the voters in December or November. That's essentially they're like, 722 00:43:52,040 --> 00:43:55,520 Speaker 1: we want to maintain our ability to keep exploiting our 723 00:43:55,640 --> 00:43:59,319 Speaker 1: drivers as independent contractors, but we get that it's kind 724 00:43:59,360 --> 00:44:01,400 Speaker 1: of funked up. It will make like a wage floor, 725 00:44:01,640 --> 00:44:03,319 Speaker 1: so there's like a kind of a minimum but don't 726 00:44:03,360 --> 00:44:08,520 Speaker 1: actually minimum wage. And that is like their new um tactic, 727 00:44:08,719 --> 00:44:13,960 Speaker 1: to the point where the CEO of Uber, Dara Kosher Shay, 728 00:44:14,360 --> 00:44:17,640 Speaker 1: is saying, I will fucking pull the service of Uber 729 00:44:17,680 --> 00:44:20,680 Speaker 1: in the state of California until the voters decide if 730 00:44:20,719 --> 00:44:23,279 Speaker 1: you're gonna make us treat these people like employees, so 731 00:44:23,360 --> 00:44:26,000 Speaker 1: they're gonna essentially their threatening the people who even use 732 00:44:26,120 --> 00:44:28,960 Speaker 1: this for their livelihood to be like, give us a 733 00:44:29,040 --> 00:44:31,960 Speaker 1: stay until we can sort this out with a ballot proposition, 734 00:44:32,040 --> 00:44:33,600 Speaker 1: and if if it doesn't, like we're gonna have to 735 00:44:33,680 --> 00:44:39,480 Speaker 1: really think it's fucked up. Yeah, yeah, it's it's weird. 736 00:44:39,560 --> 00:44:43,680 Speaker 1: It's like the capital is going on strike or like 737 00:44:43,880 --> 00:44:48,560 Speaker 1: has the ability to like basically strike against the workers. Well, 738 00:44:49,800 --> 00:44:52,239 Speaker 1: you have wages low enough that they become dependent on 739 00:44:52,320 --> 00:44:56,320 Speaker 1: the job, then it's you've completely inverted the like not 740 00:44:56,480 --> 00:44:58,359 Speaker 1: that if it's an inversion of the balance of power, 741 00:44:58,440 --> 00:45:01,239 Speaker 1: that's what the balance of powers. That's people have to 742 00:45:01,920 --> 00:45:05,759 Speaker 1: accept these really terrible working conditions. And no, it's like 743 00:45:06,520 --> 00:45:10,680 Speaker 1: all the protections that are in place in a like 744 00:45:10,840 --> 00:45:15,600 Speaker 1: healthy you know, balance between labor and capital are like 745 00:45:15,840 --> 00:45:19,200 Speaker 1: on the side of like that all those powers. The 746 00:45:19,480 --> 00:45:23,040 Speaker 1: capital now well and uber you know, they're still not profitable, 747 00:45:23,680 --> 00:45:26,279 Speaker 1: and but they believe they've been telling people like they'll 748 00:45:26,320 --> 00:45:29,640 Speaker 1: probably be profitable at the end of this year. Um, 749 00:45:30,160 --> 00:45:32,920 Speaker 1: and so you know, but treating human beings like with 750 00:45:33,080 --> 00:45:35,520 Speaker 1: dignity is going to cost this money, and like that's 751 00:45:35,560 --> 00:45:37,960 Speaker 1: one of the real arguments, right, It's like we're doing 752 00:45:38,080 --> 00:45:41,200 Speaker 1: that not exploiting them is going to be too expensive, 753 00:45:41,239 --> 00:45:44,239 Speaker 1: and it's gonna make rates higher for for the passengers 754 00:45:44,520 --> 00:45:46,640 Speaker 1: because they're going to pass that on to the consumer 755 00:45:46,760 --> 00:45:48,960 Speaker 1: rather than do it themselves. When a lot of people 756 00:45:49,040 --> 00:45:51,520 Speaker 1: did the breakdown, it would cost them three thousand, six 757 00:45:51,960 --> 00:45:55,279 Speaker 1: twenty five dollars per driver to like transition them to 758 00:45:55,360 --> 00:45:59,640 Speaker 1: actual like an employee structure, which would be a half 759 00:45:59,719 --> 00:46:02,600 Speaker 1: bill million dollars annually. That's nothing compared to like the 760 00:46:02,640 --> 00:46:06,520 Speaker 1: actual revenue that's generated by that business. It's nothing. But 761 00:46:06,640 --> 00:46:08,320 Speaker 1: that's what we're talking about because at the end of 762 00:46:08,360 --> 00:46:12,040 Speaker 1: the day, the god that like you know, dictates how 763 00:46:12,120 --> 00:46:15,600 Speaker 1: we treat workers, is this idea of shareholder value and 764 00:46:15,640 --> 00:46:18,640 Speaker 1: how much profit you're making. And by suddenly like whoa, 765 00:46:18,920 --> 00:46:20,800 Speaker 1: what happened? What happened? We just lost a half million dollars. 766 00:46:20,920 --> 00:46:22,840 Speaker 1: What happened was what's going on? Oh, we had to 767 00:46:22,880 --> 00:46:25,640 Speaker 1: give people, you know, like sick leave, uh, you know, 768 00:46:25,760 --> 00:46:27,840 Speaker 1: make sure that they have like some kind of social security, 769 00:46:28,200 --> 00:46:30,680 Speaker 1: Like we're paying into things like that. Why are we 770 00:46:30,760 --> 00:46:33,480 Speaker 1: doing that now we just went from you know, eighteen 771 00:46:33,520 --> 00:46:36,360 Speaker 1: billion to seventeen and a half. No, no, we're not 772 00:46:36,400 --> 00:46:38,799 Speaker 1: doing that. Then if that's the case, then we might 773 00:46:38,840 --> 00:46:40,680 Speaker 1: have to have a vote and maybe get a new CEO. 774 00:46:40,960 --> 00:46:43,480 Speaker 1: Like it's just so again, like we were saying in 775 00:46:43,520 --> 00:46:47,200 Speaker 1: the last episode, the purpose is just for all people 776 00:46:47,239 --> 00:46:50,360 Speaker 1: to be able to make a living normally, not have 777 00:46:50,600 --> 00:46:54,080 Speaker 1: to really whittle the hours of their day down just 778 00:46:54,320 --> 00:46:57,840 Speaker 1: toiling so some other person can enjoy the fruits of 779 00:46:57,920 --> 00:47:01,279 Speaker 1: that labor. That you can also have a meaningful form 780 00:47:01,360 --> 00:47:04,080 Speaker 1: of income that you can provide for your family and 781 00:47:04,360 --> 00:47:06,799 Speaker 1: and you know, relax a little bit. That's really all 782 00:47:07,200 --> 00:47:09,400 Speaker 1: this is about. But for some people, the way they 783 00:47:09,480 --> 00:47:12,200 Speaker 1: relax is knowing that those that revenue keeps going up. 784 00:47:12,600 --> 00:47:16,000 Speaker 1: Mhm alright, let's take a quick break. We'll be right 785 00:47:16,040 --> 00:47:30,640 Speaker 1: back and we're back, and let's talk about some bright 786 00:47:30,719 --> 00:47:33,680 Speaker 1: spots in the culture. Let's talk about Cheetos mac and cheese. 787 00:47:35,080 --> 00:47:39,960 Speaker 1: This has been, uh, you know, a dorm room staple 788 00:47:40,239 --> 00:47:42,400 Speaker 1: like something that people have been sort of a geibring 789 00:47:42,520 --> 00:47:45,840 Speaker 1: on their own with the homemade mac and cheese and 790 00:47:46,280 --> 00:47:49,200 Speaker 1: just putting Britos in there a little blue box with 791 00:47:49,400 --> 00:47:54,239 Speaker 1: some with some orange bag. But now they are making 792 00:47:54,280 --> 00:47:58,040 Speaker 1: it official and Cheetos is partnering with another food company 793 00:47:58,120 --> 00:48:01,160 Speaker 1: to actually make Cheetos mac and cheese ease. They've even 794 00:48:01,200 --> 00:48:04,920 Speaker 1: got like the flaming the only thing I give a 795 00:48:04,920 --> 00:48:09,160 Speaker 1: shit about, bold and cheesy, flaming, hot and cheesy, Hollapain 796 00:48:09,280 --> 00:48:12,879 Speaker 1: you do you put hot sauce in your regular craft 797 00:48:12,920 --> 00:48:16,279 Speaker 1: mac and cheese? Always? You do? Yes? What do you 798 00:48:16,320 --> 00:48:22,400 Speaker 1: put in it? Tobasco or chila oh ship? What about you? Sofia, 799 00:48:22,760 --> 00:48:25,239 Speaker 1: I don't really eat mac and cheese? Oh yeah, are 800 00:48:25,239 --> 00:48:28,319 Speaker 1: you likes and taller? No, it's just like not really 801 00:48:28,400 --> 00:48:30,920 Speaker 1: a Russian thing. So I didn't grow up eating growing up, 802 00:48:31,400 --> 00:48:35,600 Speaker 1: so I don't have that like making up for lost time. 803 00:48:35,840 --> 00:48:39,960 Speaker 1: I'm like, get the spirals this time. There's this place 804 00:48:40,080 --> 00:48:47,080 Speaker 1: that had um street corn with street corn and it 805 00:48:47,160 --> 00:48:53,120 Speaker 1: was delicious. That's a I know. They were like like 806 00:48:53,160 --> 00:48:55,160 Speaker 1: I remember a couple of years ago, right kind of 807 00:48:55,200 --> 00:48:57,880 Speaker 1: by our office, there's like a Cheetos pop up restaurant 808 00:48:58,719 --> 00:49:01,080 Speaker 1: that was going down where they were messing around these flavors. 809 00:49:01,160 --> 00:49:04,239 Speaker 1: But to see it like now be the thing. It's 810 00:49:04,360 --> 00:49:08,600 Speaker 1: really uh, it's enticing, and I like that it's spirals 811 00:49:08,760 --> 00:49:11,480 Speaker 1: too from the images I'm looking at, because you know, 812 00:49:11,600 --> 00:49:14,760 Speaker 1: something that's just a little more surface area for the sauce. 813 00:49:14,880 --> 00:49:17,320 Speaker 1: Real night, thank you so much. What does that? Is 814 00:49:17,360 --> 00:49:24,440 Speaker 1: that too silly? What's it called? Yeah? Um, I'll take it. 815 00:49:25,000 --> 00:49:28,839 Speaker 1: Uh it looks great. I I do love so one thing. 816 00:49:29,120 --> 00:49:31,520 Speaker 1: Even if you are lactose intolerant, you don't have to 817 00:49:31,560 --> 00:49:38,279 Speaker 1: worry about it because any any of these ingredients. Um, 818 00:49:39,040 --> 00:49:42,279 Speaker 1: but yeah, they say so. The takeout, which is like 819 00:49:42,520 --> 00:49:45,960 Speaker 1: the garbage food blog, not the blog being garbage, the 820 00:49:46,080 --> 00:49:49,160 Speaker 1: food being garbage, says it's actually pretty good. They gave 821 00:49:49,160 --> 00:49:52,040 Speaker 1: it a The sauce is actually creamy, which is an 822 00:49:52,120 --> 00:49:56,520 Speaker 1: unexpected bonus. I like that. That's where they're because turn 823 00:49:56,640 --> 00:49:59,360 Speaker 1: up your your box mac and cheese, like you know, 824 00:49:59,600 --> 00:50:02,759 Speaker 1: out of like half and half to creamy to get 825 00:50:02,760 --> 00:50:07,360 Speaker 1: a little, just a little little always Yeah, but I 826 00:50:07,440 --> 00:50:09,480 Speaker 1: am down. I'm going to give this a shot. We 827 00:50:09,520 --> 00:50:11,360 Speaker 1: should all, I mean, maybe we could do that for 828 00:50:11,440 --> 00:50:16,400 Speaker 1: an episode. Well everyone will do a yeah simultaneously because 829 00:50:16,560 --> 00:50:19,560 Speaker 1: they have microwave cups like so you know, you can 830 00:50:19,600 --> 00:50:22,279 Speaker 1: do like the quick version. Although I like the box version. 831 00:50:22,280 --> 00:50:23,880 Speaker 1: I was never really faint, like when they made it 832 00:50:24,120 --> 00:50:26,680 Speaker 1: stream minded to do microwave. I'm like, it's a little 833 00:50:26,680 --> 00:50:29,879 Speaker 1: too much energy into that because I like to keep 834 00:50:29,920 --> 00:50:32,840 Speaker 1: my mac and cheese. I'll dente. Uh, and that's harder 835 00:50:33,000 --> 00:50:38,120 Speaker 1: with you mean crunchy just makes the powder in your 836 00:50:38,160 --> 00:50:39,960 Speaker 1: mouth with the dry shells, and it kind of does 837 00:50:40,000 --> 00:50:42,560 Speaker 1: the same thing. It's much faster that way, I feel. 838 00:50:43,719 --> 00:50:47,120 Speaker 1: But your teeth are a mess. They're all chipped and 839 00:50:47,160 --> 00:50:49,560 Speaker 1: shipped from stewing all that dry. My lips are all 840 00:50:49,640 --> 00:50:54,719 Speaker 1: cut up. Uh. All right, Let's also talk about what 841 00:50:54,840 --> 00:50:59,440 Speaker 1: we are rewatching this weekend. Let's read off the Netflix 842 00:50:59,520 --> 00:51:02,920 Speaker 1: top ten in oka moment as we are recording this. 843 00:51:03,719 --> 00:51:08,400 Speaker 1: Number one is the Lost Husband. Uh, where you go? 844 00:51:09,160 --> 00:51:14,560 Speaker 1: I don't know, dude, where's my husband? My husband? Um, 845 00:51:15,360 --> 00:51:17,840 Speaker 1: I don't know what that is, but it's not what 846 00:51:18,000 --> 00:51:21,960 Speaker 1: that means. Hot damn umbrella academy. You you have, you 847 00:51:22,280 --> 00:51:28,560 Speaker 1: usually the last place you look, or I'll check your pussy. 848 00:51:28,640 --> 00:51:33,640 Speaker 1: What you mean p word? Excuse me, I'm sorry. We 849 00:51:33,680 --> 00:51:37,160 Speaker 1: don't say that here, and it should be dry. For 850 00:51:37,280 --> 00:51:41,600 Speaker 1: the record, According to my wife, Jack likes his pussy 851 00:51:41,960 --> 00:51:45,880 Speaker 1: how he likes his mac and cheese dry and in 852 00:51:46,040 --> 00:51:49,760 Speaker 1: my mouth and spicy. The whole thing with Lost Husband 853 00:51:49,840 --> 00:51:51,640 Speaker 1: is Josh de mos is looking to start a new 854 00:51:51,800 --> 00:51:54,880 Speaker 1: A widow retreats with her children to her aunt's goat farm, 855 00:51:54,920 --> 00:51:58,960 Speaker 1: where the ranches manager helps her navigate country life and lost? 856 00:52:00,200 --> 00:52:04,960 Speaker 1: Is that a comedy? This sounds okay, I'm putting that. 857 00:52:05,040 --> 00:52:07,359 Speaker 1: I'm gonna put a pin in that one. That sounds 858 00:52:07,400 --> 00:52:10,960 Speaker 1: like such an absurd proposition already, Like why why is 859 00:52:11,040 --> 00:52:14,080 Speaker 1: that in the pitch? Like? And why is the title 860 00:52:14,320 --> 00:52:18,640 Speaker 1: the lost Like she lost her husband and let's call 861 00:52:18,719 --> 00:52:21,080 Speaker 1: it the lost husband. Well, I'm sure Josh to Mel 862 00:52:21,840 --> 00:52:26,719 Speaker 1: is like Sexy goat Hurder who comes comes in? And 863 00:52:27,239 --> 00:52:31,880 Speaker 1: you know it's based on Catherine Center novel. Okay, so okay, 864 00:52:34,480 --> 00:52:37,080 Speaker 1: Nicholas Sparks, is this our new Nicholas Sparks? I have 865 00:52:37,239 --> 00:52:40,680 Speaker 1: no idea, it says. As of July, of the nineteen 866 00:52:40,760 --> 00:52:45,360 Speaker 1: interviews compiled on rotting Rotten Tomatoes are positive. Okay. The 867 00:52:45,560 --> 00:52:49,480 Speaker 1: average scores six point eleven out of ten. That's not bad. 868 00:52:51,440 --> 00:52:54,279 Speaker 1: That's not bad at all on Rotten Tomatoes. Okay, yeah, 869 00:52:54,400 --> 00:52:58,640 Speaker 1: Rotten Tomatoes started doing the Metacritic thing. Brian tellar Rico 870 00:52:58,760 --> 00:53:00,560 Speaker 1: of Roderbert dot com, We're the film two and a 871 00:53:00,600 --> 00:53:05,160 Speaker 1: half stars. Okay, so it's predictable. Wait, hold on, what 872 00:53:05,320 --> 00:53:08,600 Speaker 1: what be tax say? All right? Two and a half 873 00:53:10,000 --> 00:53:12,920 Speaker 1: respect to him in his opinions, Have you caught up 874 00:53:12,960 --> 00:53:17,399 Speaker 1: on Umbrella Academy that I'm on episode three of this? Yeah? 875 00:53:17,800 --> 00:53:20,279 Speaker 1: Do you want to talk about that? I want to 876 00:53:20,320 --> 00:53:22,480 Speaker 1: watch it all the way because it's all it's all 877 00:53:22,560 --> 00:53:26,200 Speaker 1: kinds of funked up already. I'm like, what, Jack, You're 878 00:53:26,200 --> 00:53:29,439 Speaker 1: gonna love it? Actually, did you watch the first season? Oh? Yeah, 879 00:53:29,440 --> 00:53:32,200 Speaker 1: I really enjoyed the first season. It's like easy to watch. 880 00:53:32,640 --> 00:53:34,600 Speaker 1: I forgot most of it because it wasn't like the 881 00:53:35,000 --> 00:53:36,879 Speaker 1: best thing I've seen, but it was easy to watch. 882 00:53:37,360 --> 00:53:39,799 Speaker 1: But now in this one, like there they get thrown 883 00:53:39,840 --> 00:53:41,400 Speaker 1: back in time and it's not a spoiler. But in 884 00:53:41,480 --> 00:53:44,200 Speaker 1: this second season, like they're dealing with intersecting with the 885 00:53:44,280 --> 00:53:48,560 Speaker 1: Kennedy assassination and like the different permutations of what could 886 00:53:48,600 --> 00:53:52,880 Speaker 1: happen if they intervene um. So it's interesting and like 887 00:53:53,040 --> 00:53:54,759 Speaker 1: right now, I don't even know which way it's going 888 00:53:54,880 --> 00:53:57,400 Speaker 1: like something. It's all there's so much time travel and 889 00:53:57,480 --> 00:54:00,200 Speaker 1: all this other ship, but it's you definitely cannot It's 890 00:54:00,320 --> 00:54:02,160 Speaker 1: not one of those things you can watch like while 891 00:54:02,200 --> 00:54:03,920 Speaker 1: being on your phone, because I think a lot of 892 00:54:04,000 --> 00:54:06,479 Speaker 1: people you can watch something kind of check your phone, 893 00:54:06,560 --> 00:54:08,759 Speaker 1: be in and out. This ship you will lose. The 894 00:54:08,880 --> 00:54:12,800 Speaker 1: thread is so damn quick, so you gotta respect the material. 895 00:54:12,880 --> 00:54:16,280 Speaker 1: Watch it. I'm big on a ship's creaking crossword puzzles 896 00:54:16,360 --> 00:54:22,399 Speaker 1: these days. Those together background music. UM, World's Most Wanted 897 00:54:22,520 --> 00:54:24,440 Speaker 1: keeps hanging around the top ten, And I don't know, 898 00:54:24,960 --> 00:54:28,680 Speaker 1: it just seems like it's a docuseries about like criminals. Yeah, 899 00:54:28,760 --> 00:54:31,800 Speaker 1: but people. I've had two people I know text me 900 00:54:32,120 --> 00:54:35,239 Speaker 1: and ask me if I've watched it really, which is 901 00:54:35,320 --> 00:54:37,160 Speaker 1: interesting And I don't know if they're asking me because 902 00:54:37,160 --> 00:54:38,560 Speaker 1: they feel like it's up my alley. But like you 903 00:54:38,600 --> 00:54:40,520 Speaker 1: watch or like have you seen words Most Wanted? So 904 00:54:40,640 --> 00:54:43,239 Speaker 1: I don't know. Put a pin in that because I 905 00:54:44,400 --> 00:54:47,319 Speaker 1: have no idea what that is. Uh. The Seven Deadly Sins, 906 00:54:47,360 --> 00:54:55,560 Speaker 1: which appears to be manga manga, manga, mangonga manga yea, yeah, mangoes, 907 00:54:55,719 --> 00:54:59,480 Speaker 1: A couple of mangoes. Um got the mans on deck? 908 00:55:00,160 --> 00:55:02,720 Speaker 1: Uh that's probably a series, right, Yeah, that's a serious 909 00:55:02,800 --> 00:55:06,160 Speaker 1: that's I think. The other one I would watch is 910 00:55:06,239 --> 00:55:09,520 Speaker 1: That Won't Work It, which looks like a weird dance 911 00:55:09,840 --> 00:55:15,719 Speaker 1: movie because I love movies, dance films. I just rewatched 912 00:55:15,760 --> 00:55:19,279 Speaker 1: Stomp the Yard the other day. I did so it 913 00:55:19,360 --> 00:55:24,040 Speaker 1: turns out that's a type of movie that is very 914 00:55:24,080 --> 00:55:27,080 Speaker 1: popular on Netflix like streaming. It's like, well, I think 915 00:55:27,160 --> 00:55:30,239 Speaker 1: one of those types of movies that they've figured out. Oh, 916 00:55:30,360 --> 00:55:33,960 Speaker 1: people actually really like this more than we've realized, because um, 917 00:55:34,920 --> 00:55:38,440 Speaker 1: they're making them as original programming. And also like when 918 00:55:38,480 --> 00:55:40,520 Speaker 1: you look at the top ten shows of the summer, 919 00:55:41,239 --> 00:55:46,080 Speaker 1: last Dance was number four, I think, um, but that's 920 00:55:46,080 --> 00:55:50,799 Speaker 1: not Oh okay, we're not talking about dancing specifically, right, Okay, wait, 921 00:55:50,880 --> 00:55:57,600 Speaker 1: what is the last dance? Oh? Shit? What I was 922 00:55:57,680 --> 00:56:01,080 Speaker 1: like the last dance? He was lying when we're doing 923 00:56:01,120 --> 00:56:04,399 Speaker 1: those recaps every week. He's just getting lucky. I guess. 924 00:56:04,680 --> 00:56:07,919 Speaker 1: Isn't there a dance movie called something similar less Save 925 00:56:07,960 --> 00:56:10,680 Speaker 1: the Last Dance, Save the Last Dance? Yeah, but like 926 00:56:10,760 --> 00:56:14,279 Speaker 1: this one has like the most again aggressively formulaic uh 927 00:56:14,760 --> 00:56:18,520 Speaker 1: sort of uh plot. A brilliant but clumsy high school 928 00:56:18,560 --> 00:56:21,080 Speaker 1: senior vows to get into her late father's alma mater 929 00:56:21,200 --> 00:56:24,640 Speaker 1: by transforming herself in a misfit squad into dance champions. 930 00:56:25,440 --> 00:56:29,400 Speaker 1: Hell yeah, yes, so yeah, Okay, so they're dancing. I 931 00:56:29,440 --> 00:56:31,640 Speaker 1: mean I think yeah, especially with like TikTok and stuff 932 00:56:31,680 --> 00:56:33,879 Speaker 1: like kind of mainstreaming. Like even if you can't dance, 933 00:56:33,960 --> 00:56:36,480 Speaker 1: this dance, which I think is great because everybody has 934 00:56:36,520 --> 00:56:40,080 Speaker 1: to be able to throw it. Democratization of dancing and singing, 935 00:56:40,320 --> 00:56:44,320 Speaker 1: those are things we're seeing. Uh everybody can sing like me, 936 00:56:44,480 --> 00:56:46,480 Speaker 1: but they can try, you know. But hey, look, if 937 00:56:46,480 --> 00:56:48,920 Speaker 1: you're having trouble crying, maybe dance a little bit if 938 00:56:48,960 --> 00:56:50,719 Speaker 1: that helps get your emotions out, Like that's that's a 939 00:56:50,760 --> 00:56:53,960 Speaker 1: gateway to fully expressing yourself down the way. Uh. Yeah, 940 00:56:54,000 --> 00:56:55,719 Speaker 1: So we got work, and we got Shameless, we got 941 00:56:55,800 --> 00:56:58,839 Speaker 1: selling Sunset. Dennis the Menace already watched that whole thing 942 00:56:59,200 --> 00:57:02,600 Speaker 1: Selling Sunset. Yep, Jim and Jamie Loft is we already, 943 00:57:03,160 --> 00:57:04,840 Speaker 1: but we we stay in there show like in a 944 00:57:04,960 --> 00:57:07,040 Speaker 1: really bad way. We're like, we're like, why do we 945 00:57:07,160 --> 00:57:09,600 Speaker 1: do this to ourselves? Yeah, I've been seeing a lot 946 00:57:09,680 --> 00:57:13,839 Speaker 1: of actually comedians tweeting about loving it. It's I think 947 00:57:13,920 --> 00:57:18,640 Speaker 1: it's because it's you're you're watching human beings like exist 948 00:57:18,720 --> 00:57:21,840 Speaker 1: in a reality that like most people just don't understand 949 00:57:21,960 --> 00:57:25,120 Speaker 1: or will know of like these like real estate people 950 00:57:25,160 --> 00:57:28,280 Speaker 1: who are just doing making massive amounts of money and 951 00:57:28,400 --> 00:57:31,320 Speaker 1: like everything that's important. It's just so weird. They're like 952 00:57:31,400 --> 00:57:33,520 Speaker 1: so glamorous and everything is just money and you're like, 953 00:57:33,600 --> 00:57:35,680 Speaker 1: oh my god. But then party is like a broke person. 954 00:57:35,680 --> 00:57:39,480 Speaker 1: You're like, damn, that would be sick though, but I 955 00:57:39,520 --> 00:57:41,280 Speaker 1: will still vote for your taxes to be way the 956 00:57:41,320 --> 00:57:45,120 Speaker 1: funk higher. Don't get me fucked up. Don't they like 957 00:57:45,240 --> 00:57:48,800 Speaker 1: not sell anything the whole time. There's one house that's 958 00:57:48,840 --> 00:57:51,880 Speaker 1: like so expensive that it just ends up hanging over 959 00:57:51,960 --> 00:57:54,600 Speaker 1: the entire season and it doesn't even matter like this, 960 00:57:55,040 --> 00:57:58,040 Speaker 1: it's really never about the house, It's like, but it does. Really, 961 00:57:59,040 --> 00:58:00,840 Speaker 1: it's like one of those things like a Netflix show 962 00:58:00,880 --> 00:58:03,480 Speaker 1: where they get like how to thread that needle of 963 00:58:03,600 --> 00:58:07,640 Speaker 1: like people like house flipping shows or like seeing nice houses, 964 00:58:08,120 --> 00:58:10,760 Speaker 1: but also you want the messy tea of like a 965 00:58:10,840 --> 00:58:14,800 Speaker 1: bunch of people with Birken bags and like botox talking ship. Um, 966 00:58:14,960 --> 00:58:16,480 Speaker 1: so it's all it's you know, it's got it all, 967 00:58:16,600 --> 00:58:19,080 Speaker 1: but it's it's really it's probably the least redeeming shit. 968 00:58:19,440 --> 00:58:23,160 Speaker 1: What's right now? Yeah, I might have to spend a 969 00:58:23,280 --> 00:58:29,560 Speaker 1: week with the misses watching that Dennis the Menace, Uh, Wizards, 970 00:58:29,880 --> 00:58:33,680 Speaker 1: Tales of Arcadia and Mr Peabody and Sherman Dennis the 971 00:58:33,760 --> 00:58:38,120 Speaker 1: Menace being so like popular and having legs. It is 972 00:58:38,160 --> 00:58:41,840 Speaker 1: really surprised at me. Um yeah, do you remember that one? Sofia. 973 00:58:42,360 --> 00:58:45,520 Speaker 1: I don't even know what that is. Dennis live action 974 00:58:45,600 --> 00:58:50,080 Speaker 1: Dennis the Menace Christopher Lloyd as a drifter bed. I 975 00:58:50,160 --> 00:58:52,800 Speaker 1: never saw that he's eating like a can of beans 976 00:58:52,920 --> 00:58:54,400 Speaker 1: or something. It's like a big fart scene. I feel 977 00:58:54,400 --> 00:58:58,600 Speaker 1: like when they're eating by a campfire. Anyway, um kid 978 00:58:58,720 --> 00:59:02,200 Speaker 1: now who played him, Mason Gamble is a marine biologist. 979 00:59:02,440 --> 00:59:06,520 Speaker 1: Hell yeah, yeah, shout out to him. And then we 980 00:59:06,680 --> 00:59:09,800 Speaker 1: have an updated top ten movies of the Summer. I 981 00:59:09,880 --> 00:59:12,080 Speaker 1: think we talked about the fact that the Lorax in three, 982 00:59:12,160 --> 00:59:14,280 Speaker 1: six or five Days an Old Guard were one, two 983 00:59:14,320 --> 00:59:18,480 Speaker 1: and three, but now Kissing Booth two has broken into 984 00:59:18,600 --> 00:59:24,400 Speaker 1: the top five. Desperados Uh is like a rom com. 985 00:59:24,760 --> 00:59:28,320 Speaker 1: Maybe I'll do that Desperadoes. Oh yeah, that's the one 986 00:59:28,400 --> 00:59:31,120 Speaker 1: with the scene. Yeah yeah, yeah, I started watching that. 987 00:59:32,520 --> 00:59:36,280 Speaker 1: I love her. Yeah, uh yeah. Other than the how 988 00:59:36,320 --> 00:59:39,600 Speaker 1: Do You Got a Very it's got a very aggressive premise. 989 00:59:39,760 --> 00:59:43,360 Speaker 1: But uh, but what comedy film doesn't you need that 990 00:59:43,440 --> 00:59:46,120 Speaker 1: to kind of get everything going? Sorry? The movie that 991 00:59:46,200 --> 00:59:49,800 Speaker 1: I was talking about that, uh that I confused the 992 00:59:49,920 --> 00:59:54,480 Speaker 1: Last Dance with his Feel the Beat? Is that? Yes? Yeah? Yeah? Um? 993 00:59:55,480 --> 00:59:58,000 Speaker 1: Which is the dance movie right right? That's wait wait, 994 00:59:58,080 --> 01:00:01,400 Speaker 1: what's feel the beat? There's feel the beat and work it. Oh, 995 01:00:01,520 --> 01:00:04,800 Speaker 1: come on now, now we're doing too much, I feel. 996 01:00:04,880 --> 01:00:07,560 Speaker 1: But what is feel to beat about? Oh? That's another 997 01:00:07,720 --> 01:00:11,040 Speaker 1: Netflix film. Oh shit, I'm like looking and I'm like, 998 01:00:11,440 --> 01:00:13,560 Speaker 1: I was watching it. I'm like, would you like to 999 01:00:13,640 --> 01:00:21,560 Speaker 1: resume ship? Yeah? I got I was. I was okay, 1000 01:00:21,560 --> 01:00:23,720 Speaker 1: I was twisted when I watched this because it's it's 1001 01:00:23,760 --> 01:00:27,680 Speaker 1: a look at rosa t v G rated Netflix movie. 1002 01:00:28,360 --> 01:00:31,840 Speaker 1: I remember this ship now. It's so bad. It shi, 1003 01:00:31,840 --> 01:00:36,080 Speaker 1: it is so bad. Yes, I don't know what the 1004 01:00:36,360 --> 01:00:39,040 Speaker 1: don't look. Don't worry about me, don't worry. Maybe I 1005 01:00:39,080 --> 01:00:40,840 Speaker 1: need to watch that so I can watch it with 1006 01:00:40,960 --> 01:00:47,120 Speaker 1: my kids and also get into the dance movie crazy. Yeah, yeah, 1007 01:00:47,200 --> 01:00:49,840 Speaker 1: because that is uh yeah, that's it's the point I 1008 01:00:49,960 --> 01:00:51,880 Speaker 1: was trying to make because that they seem to be 1009 01:00:52,040 --> 01:00:55,760 Speaker 1: doing really well with dance stuff. Yeah. Alright, so so 1010 01:00:55,880 --> 01:00:58,280 Speaker 1: it's just a very dancy thing. I guess you'll do 1011 01:00:59,160 --> 01:01:02,120 Speaker 1: uh feel the beat? Yeah, And then was the one 1012 01:01:02,160 --> 01:01:04,280 Speaker 1: I said, I forget the name already, work that one, 1013 01:01:04,720 --> 01:01:08,360 Speaker 1: work it, work it. I need a glass of watta. Okay. Um, 1014 01:01:09,520 --> 01:01:14,280 Speaker 1: Actually I'm gonna stick with Desperadoes because I don't want 1015 01:01:14,280 --> 01:01:17,440 Speaker 1: I don't want it to be too dancy, okay, ted dancing, 1016 01:01:17,480 --> 01:01:20,480 Speaker 1: all right, so let's keep it to so desper assignment 1017 01:01:20,640 --> 01:01:26,880 Speaker 1: Desperadoes or I already forgot what the folks work? Yeah, 1018 01:01:26,880 --> 01:01:34,680 Speaker 1: because that name just it's so bad. I mean it's yeah, yeah, yeah, 1019 01:01:35,600 --> 01:01:39,800 Speaker 1: all right, all right. Uh, that's gonna do it for 1020 01:01:39,880 --> 01:01:43,160 Speaker 1: the week. Sophia, it's been great having you as always. 1021 01:01:43,200 --> 01:01:45,880 Speaker 1: Where can people find you and follow you? Well, you 1022 01:01:46,000 --> 01:01:51,120 Speaker 1: can find me on my other podcast for Fiance with 1023 01:01:51,400 --> 01:01:56,200 Speaker 1: Miles Gray, and on Twitter and Instagram at the Sophia 1024 01:01:56,520 --> 01:01:59,440 Speaker 1: s O f y A. Also listen to my album 1025 01:01:59,560 --> 01:02:04,000 Speaker 1: Father Day. Oh yeah, I did it. I did, And 1026 01:02:04,120 --> 01:02:06,800 Speaker 1: for the longest time I was being like, yo, everybody 1027 01:02:06,880 --> 01:02:09,000 Speaker 1: listened to it. Unfortunately Fiance and she was like, have 1028 01:02:09,120 --> 01:02:10,800 Speaker 1: you actually listened to it at the time I had it, 1029 01:02:10,840 --> 01:02:13,840 Speaker 1: And I was like, oh, straight up with you? Then 1030 01:02:13,920 --> 01:02:15,680 Speaker 1: I really? Then I listened to it right away and 1031 01:02:15,760 --> 01:02:18,120 Speaker 1: it's you shouldn't be surprised. So if it comes with 1032 01:02:18,200 --> 01:02:20,520 Speaker 1: the goods every time and it's hilarious, so check that 1033 01:02:20,560 --> 01:02:23,520 Speaker 1: album out for sure. Thanks. And is there a tweet 1034 01:02:23,560 --> 01:02:29,680 Speaker 1: you've been enjoying? Work? Scarin shotted I like this tweet 1035 01:02:29,840 --> 01:02:36,040 Speaker 1: from Steph Underscore m c c A. Where are we 1036 01:02:36,160 --> 01:02:39,280 Speaker 1: at on student loan forgiveness bt W? I didn't mean 1037 01:02:39,360 --> 01:02:44,640 Speaker 1: to go to college, it was an accident. And then 1038 01:02:44,760 --> 01:02:49,720 Speaker 1: this one from personally Rich and it says credit scores 1039 01:02:49,760 --> 01:02:56,160 Speaker 1: are astrology for landlords. Miles people find you, follow you? 1040 01:02:56,240 --> 01:02:59,960 Speaker 1: What's tweet you've been enjoying? You can find me on Twitter, Instagram, 1041 01:03:00,040 --> 01:03:05,040 Speaker 1: am the at miles of gray. Also where else PlayStation 1042 01:03:05,160 --> 01:03:10,240 Speaker 1: network uh, and Sofia said for twenty day fiancee uh 1043 01:03:10,400 --> 01:03:13,600 Speaker 1: production of Our Heart Radio. We're also a production of 1044 01:03:14,360 --> 01:03:17,520 Speaker 1: many bunts and watching a ton of reality TV where 1045 01:03:17,520 --> 01:03:22,120 Speaker 1: you can hear some of the most aggressive impressions and 1046 01:03:22,200 --> 01:03:27,000 Speaker 1: impersonations you have ever heard. Okay, let's see a tweet 1047 01:03:27,040 --> 01:03:28,960 Speaker 1: that I like. I actually did like that same one 1048 01:03:29,560 --> 01:03:36,080 Speaker 1: about the uh the astrology for landlords thing, And this 1049 01:03:36,200 --> 01:03:39,200 Speaker 1: one is a very comedy insider tweet. But if you 1050 01:03:39,280 --> 01:03:42,160 Speaker 1: know who Aliza skinner is you'll appreciate this. She's a 1051 01:03:42,360 --> 01:03:46,520 Speaker 1: very gifted comedian. Is nice with the rap skills. She 1052 01:03:46,600 --> 01:03:48,520 Speaker 1: used to do like an improv rap show at UCB. 1053 01:03:48,760 --> 01:03:51,040 Speaker 1: She's also like does that rap battle show. She's like 1054 01:03:51,120 --> 01:03:53,720 Speaker 1: the head writer for that. She's just like a fantastic 1055 01:03:54,000 --> 01:03:59,280 Speaker 1: music She's the most talented fucking rapper writer. Yeah so 1056 01:03:59,560 --> 01:04:03,520 Speaker 1: she Adalyza skater sweet Jesus my twenty five year old 1057 01:04:03,520 --> 01:04:06,640 Speaker 1: neighbors outside talking about how good she is at musical improv. 1058 01:04:07,000 --> 01:04:14,600 Speaker 1: This is a circle of hell. That's amazing. Somebody tweeted 1059 01:04:15,160 --> 01:04:18,440 Speaker 1: that clip. Did you see the clip where Cardi and 1060 01:04:18,960 --> 01:04:24,880 Speaker 1: Megan from the web video are replaced by Biden and Kamala, 1061 01:04:25,600 --> 01:04:30,400 Speaker 1: Like their faces are grafted on the Uh. It's like 1062 01:04:30,600 --> 01:04:35,560 Speaker 1: really well done and therefore wildly depressing and upsetting. Uh. 1063 01:04:35,720 --> 01:04:39,280 Speaker 1: And at Shark Week tweeted, I'm not even looking both 1064 01:04:39,320 --> 01:04:41,760 Speaker 1: ways before I crossed the street anymore. If God wheels it, 1065 01:04:41,920 --> 01:04:47,200 Speaker 1: let him take me from this place. Harry Charles h 1066 01:04:47,800 --> 01:04:52,320 Speaker 1: Zegang tweeted a little story about the lead singer smash Mouth. 1067 01:04:52,800 --> 01:04:58,000 Speaker 1: Uh that I think it's just illustrative. Smash Mouth played 1068 01:04:58,080 --> 01:05:01,640 Speaker 1: brought fast here in Madison. They stayed at a downtown hotel. 1069 01:05:01,720 --> 01:05:04,000 Speaker 1: My friend, as a bartender at the lead singer her 1070 01:05:04,040 --> 01:05:06,280 Speaker 1: asked her the whole time to come up to his room. 1071 01:05:06,840 --> 01:05:09,560 Speaker 1: When she refused, he left a zero tip on their 1072 01:05:09,600 --> 01:05:14,640 Speaker 1: five tip. Uh so chat out to get smashed in 1073 01:05:14,720 --> 01:05:17,240 Speaker 1: the mouth next time, I would get smashed in the mouth. 1074 01:05:17,280 --> 01:05:22,400 Speaker 1: Am I right? Um? Then? Uh sorry? There was one more. 1075 01:05:24,360 --> 01:05:28,160 Speaker 1: Oh and then Ryan O'Flanagan tweeted, were a professional basketball player, 1076 01:05:28,240 --> 01:05:31,200 Speaker 1: my thing would be apologizing every time my shoes squeaked. 1077 01:05:34,000 --> 01:05:35,880 Speaker 1: To find me on Twitter, Jack on her squirrel, Brian, 1078 01:05:35,920 --> 01:05:37,960 Speaker 1: he can find us on Twitter at Daily Zeygeys. Were 1079 01:05:37,960 --> 01:05:40,640 Speaker 1: at the Daily Zeygeys on Instagram. We have a Facebook 1080 01:05:40,680 --> 01:05:43,200 Speaker 1: fan page and a website, Daily zeitgeis dot com. We 1081 01:05:43,520 --> 01:05:47,720 Speaker 1: post our episodes and our foot notes. We link off 1082 01:05:47,760 --> 01:05:50,160 Speaker 1: to the information we talked about today's episode, as well 1083 01:05:50,240 --> 01:05:53,480 Speaker 1: as the song we right out on Miles? What are 1084 01:05:53,520 --> 01:05:56,320 Speaker 1: we right now? Okay, this is a track from Ego 1085 01:05:56,600 --> 01:06:00,280 Speaker 1: l m a Um. I've suggested this track from her 1086 01:06:00,800 --> 01:06:04,640 Speaker 1: maybe a while ago, but this is a different track. Um. 1087 01:06:04,800 --> 01:06:08,720 Speaker 1: She is from London. She has got that like soulful vibe. 1088 01:06:08,760 --> 01:06:12,080 Speaker 1: If you like the Jill Scott Erica Bad Thing. If 1089 01:06:12,120 --> 01:06:14,200 Speaker 1: you just want to hear a wonderful voice and some 1090 01:06:14,480 --> 01:06:19,040 Speaker 1: really really wonderful instrumentation behind it, this is it. So 1091 01:06:19,200 --> 01:06:21,120 Speaker 1: this is just like okay, it's going to the weekend 1092 01:06:21,360 --> 01:06:24,440 Speaker 1: with some relaxing vibrations. This track is called how Far 1093 01:06:24,760 --> 01:06:29,000 Speaker 1: by Ego l m A check her out Awesome. We're 1094 01:06:29,000 --> 01:06:30,919 Speaker 1: going to ride out on that. The daily's like, guys 1095 01:06:30,960 --> 01:06:33,120 Speaker 1: to the production of My Heart Radio for more podcast 1096 01:06:33,200 --> 01:06:35,840 Speaker 1: for my Heart Radio is the heart Radio app, Apple 1097 01:06:35,920 --> 01:06:39,280 Speaker 1: podcast or wherever you listen to your favorite shows. That's 1098 01:06:39,280 --> 01:06:41,200 Speaker 1: gonna do it for this morning. We'll be back this 1099 01:06:41,320 --> 01:06:44,800 Speaker 1: afternoon to tell you what's trending. Before we headed the weekends. 1100 01:06:44,840 --> 01:06:49,400 Speaker 1: We will talking all done by easy come, easy go. 1101 01:06:49,720 --> 01:06:54,200 Speaker 1: Everybody knows still we chase him, believe in the ways 1102 01:06:54,280 --> 01:07:00,080 Speaker 1: of our time. My mind is always blown away. One 1103 01:07:00,200 --> 01:07:03,840 Speaker 1: smeal when him it could be simple. We talked baby names. 1104 01:07:03,920 --> 01:07:08,160 Speaker 1: We talked about issues like socioeconomics, raised bo the tea 1105 01:07:08,240 --> 01:07:12,919 Speaker 1: and stuff, the win enough. Where sh I cano? How 1106 01:07:13,120 --> 01:07:20,720 Speaker 1: far week ago? Where sh I cano? How far we ago? 1107 01:07:22,400 --> 01:07:24,520 Speaker 1: Where sh I can know now