1 00:00:00,080 --> 00:00:03,000 Speaker 1: Hello the Internet, and welcome to season ninety eight, episode 2 00:00:03,040 --> 00:00:07,040 Speaker 1: three of Daly's Ice Guys, a production of I Heart Radio. 3 00:00:07,080 --> 00:00:08,720 Speaker 1: This is the podcast where we take a deep dive 4 00:00:08,760 --> 00:00:12,800 Speaker 1: into America's share consciousness and say, officially off the top, 5 00:00:12,920 --> 00:00:17,480 Speaker 1: fuck Coke Industries and fuck Fox News. It's Thursday, September 6 00:00:17,760 --> 00:00:21,319 Speaker 1: two thousand nineteen. My name is Jack O'Brien. Ak with 7 00:00:21,480 --> 00:00:28,240 Speaker 1: the Burp Southwig. This mountain due when with the Burp Southwig, 8 00:00:28,320 --> 00:00:34,200 Speaker 1: this sur mountain du with the burp sauce Wig. There's 9 00:00:34,240 --> 00:00:39,640 Speaker 1: a mountain do courtesy of Wide Awake at three forty 10 00:00:39,640 --> 00:00:41,960 Speaker 1: five am, and I'm thrilled to be joined as always 11 00:00:42,760 --> 00:00:45,600 Speaker 1: by my co host Mr Miles bread. Well. We got 12 00:00:45,640 --> 00:00:48,240 Speaker 1: we got to get the tool Pampa. What we've got 13 00:00:48,240 --> 00:00:50,320 Speaker 1: to we got to give it from the top. What 14 00:00:50,440 --> 00:00:52,440 Speaker 1: we've got, we've got to keep it from rob because 15 00:00:52,479 --> 00:00:54,240 Speaker 1: we do win on the planet that we think it's 16 00:00:54,280 --> 00:00:58,440 Speaker 1: getting hot up. Realize we don't a woman nither, don't 17 00:00:58,520 --> 00:01:02,040 Speaker 1: dive with theever. He's a cold blood is the coming? 18 00:01:03,040 --> 00:01:10,880 Speaker 1: How come everybody want to be a coming? Night brain? Now? Wow? Wow, 19 00:01:11,240 --> 00:01:14,480 Speaker 1: I think that was my favorite Dak. Somebody just looks. 20 00:01:14,520 --> 00:01:17,400 Speaker 1: Sometimes you ask for these theme bay has and people 21 00:01:17,440 --> 00:01:21,640 Speaker 1: just tap into something that's from wide Awake at three am, 22 00:01:21,760 --> 00:01:23,920 Speaker 1: double tap, give it away to him. Oh that was 23 00:01:23,959 --> 00:01:27,160 Speaker 1: you too, Yeah, that was exact to whoever you may be. 24 00:01:27,360 --> 00:01:30,080 Speaker 1: Wide awake and we're throwed to be joined in our 25 00:01:30,240 --> 00:01:35,760 Speaker 1: third seat by the hilarious comedian Marcella Arguo. Already ready 26 00:01:35,760 --> 00:01:49,120 Speaker 1: to leave this love? Uh and now you're really ready? 27 00:01:49,560 --> 00:01:55,360 Speaker 1: Have you been? Yeah? Nice fully artist and a talented comedian. 28 00:01:55,400 --> 00:01:59,120 Speaker 1: I'm very good. Thank you for asking him. Very I've 29 00:01:59,120 --> 00:02:01,520 Speaker 1: got eight hours of sleep. I'm very happy right now. Wow, 30 00:02:01,880 --> 00:02:05,400 Speaker 1: what do you have? Oh? Not a lot, just because 31 00:02:05,440 --> 00:02:08,240 Speaker 1: I was in like moving around. I was doing some 32 00:02:08,280 --> 00:02:10,519 Speaker 1: of the shows in North Carolina and to a wedding 33 00:02:10,520 --> 00:02:12,640 Speaker 1: and I went to surprise my niece for a birthday party. 34 00:02:12,720 --> 00:02:14,320 Speaker 1: So I'm like, it wasn't a lot of I was 35 00:02:14,360 --> 00:02:17,119 Speaker 1: traveling back and forth. So it was I'm last night. 36 00:02:17,200 --> 00:02:19,720 Speaker 1: I think I finally caught up. Okay, the t of 37 00:02:19,720 --> 00:02:24,000 Speaker 1: the year. Huh Yeah? Where where did you have to 38 00:02:24,080 --> 00:02:30,520 Speaker 1: go to surprise your niece? To Stockton, California, sunny Stockton 39 00:02:31,320 --> 00:02:37,240 Speaker 1: nine until I die? Yeah, Okay, we're in Stockton. My 40 00:02:37,240 --> 00:02:40,640 Speaker 1: sisters in Stockton, so yeah, oh, you guys have the 41 00:02:41,040 --> 00:02:44,200 Speaker 1: the Google question. This goes with that. Okay, well we'll 42 00:02:44,200 --> 00:02:47,280 Speaker 1: get but I was dressed I dressed up as a 43 00:02:47,280 --> 00:02:55,720 Speaker 1: ghostbuster because she's obsessed with ghosters. No, no, well actually 44 00:02:55,760 --> 00:02:57,640 Speaker 1: all of it, but you know, because she's a girl, 45 00:02:57,720 --> 00:02:59,720 Speaker 1: so she's like super into the girls one but she's 46 00:02:59,720 --> 00:03:02,000 Speaker 1: into all of them. But she's just obsessed with Halloween 47 00:03:02,520 --> 00:03:05,600 Speaker 1: because which is like cool because like love's costumes just 48 00:03:06,360 --> 00:03:09,640 Speaker 1: like likes the creepiness and weirdness of Halloween is like Halloween, 49 00:03:09,800 --> 00:03:11,600 Speaker 1: Like if we do a dance party, She's like, I 50 00:03:11,600 --> 00:03:14,440 Speaker 1: would put on the Halloween Pandora station and they were 51 00:03:14,480 --> 00:03:16,919 Speaker 1: just like dancing to thrill her a lot. You sound 52 00:03:17,560 --> 00:03:20,760 Speaker 1: very funny, and I am a very fun and it's true. 53 00:03:20,800 --> 00:03:24,960 Speaker 1: That's why I'm tired. All Right, we're gonna get to 54 00:03:24,960 --> 00:03:26,959 Speaker 1: know you a little bit better and in a moment. First, 55 00:03:27,000 --> 00:03:29,079 Speaker 1: we're gonna tell our listeners just a couple of things 56 00:03:29,160 --> 00:03:32,520 Speaker 1: we're talking about. We're gonna talk about Kroger and Walmart 57 00:03:32,600 --> 00:03:37,680 Speaker 1: leading the gun control charge, which is an unfortunate sentence 58 00:03:37,800 --> 00:03:41,520 Speaker 1: for our republic. We're going to talk about Trump supporters 59 00:03:42,080 --> 00:03:46,280 Speaker 1: where they get their support from, where, where psychologically it 60 00:03:46,320 --> 00:03:50,040 Speaker 1: comes from We're gonna talk about Trump allies raising funds 61 00:03:50,080 --> 00:03:54,240 Speaker 1: to go after journalists. We're gonna talk about some things 62 00:03:54,680 --> 00:03:59,480 Speaker 1: exciting and international politics that are giving us hope, uh 63 00:03:59,720 --> 00:04:03,720 Speaker 1: and all of that and plenty more. But first we 64 00:04:03,840 --> 00:04:06,120 Speaker 1: like to ask our gas Marcella, what is something from 65 00:04:06,160 --> 00:04:08,680 Speaker 1: your search history that's revealing about who you are? So, 66 00:04:08,720 --> 00:04:11,440 Speaker 1: because I've been working so much, there's there's like nothing 67 00:04:11,720 --> 00:04:14,880 Speaker 1: that exciting. But I did have to google Ghostbusters because 68 00:04:14,880 --> 00:04:16,960 Speaker 1: I had to like try to remember what the lyrics were. 69 00:04:17,279 --> 00:04:24,680 Speaker 1: Did it a? Yeah? Are the strange? Yeah? And that's 70 00:04:24,680 --> 00:04:28,760 Speaker 1: where who are you gonna call Ghostbusters? Now? I'm out? Yeah, 71 00:04:28,800 --> 00:04:33,120 Speaker 1: that's it. That's surprising children at a birthday party. That's 72 00:04:33,120 --> 00:04:35,240 Speaker 1: really all you need. Did you dress up? Yeah? I 73 00:04:35,279 --> 00:04:37,279 Speaker 1: was dressed up as a Ghostbuster. I went to party 74 00:04:37,320 --> 00:04:41,680 Speaker 1: City about a men's one size fits all. Apparently it 75 00:04:41,720 --> 00:04:44,560 Speaker 1: doesn't fit everybody, but great in it, and I guess 76 00:04:44,560 --> 00:04:46,919 Speaker 1: people were complaining about how long it was. It was 77 00:04:46,920 --> 00:04:49,640 Speaker 1: perfect for me because would you would you rocket outside 78 00:04:49,680 --> 00:04:52,760 Speaker 1: of a Ghostbusters context? No? Okay, so it looks like 79 00:04:52,800 --> 00:04:54,480 Speaker 1: a full on Ghostbuster jomp. I mean it has a 80 00:04:54,520 --> 00:04:58,039 Speaker 1: little logo on the side with the ghost has an 81 00:04:58,040 --> 00:05:00,520 Speaker 1: inflatable pack, which was really fun to play with. The 82 00:05:00,640 --> 00:05:02,560 Speaker 1: smack some of the kids around. One of my nieces 83 00:05:02,600 --> 00:05:04,159 Speaker 1: doesn't like me, so I was like hitting her with it. 84 00:05:04,200 --> 00:05:06,480 Speaker 1: I was like like, oh, I have to get inside. 85 00:05:06,520 --> 00:05:11,400 Speaker 1: I just wished just like I didn't see you man, 86 00:05:11,400 --> 00:05:13,760 Speaker 1: the Ecto pac has in mind. I just realized I 87 00:05:13,800 --> 00:05:18,200 Speaker 1: know more lyrics from Ghostbusters to theme song, the Bobby 88 00:05:18,240 --> 00:05:22,760 Speaker 1: Brown song than the Ghostbusters. Oh yeah, the whole rap. Yeah, 89 00:05:23,200 --> 00:05:25,799 Speaker 1: hot to handle, too cold to hold? Are you gonna 90 00:05:26,160 --> 00:05:31,320 Speaker 1: they call the Ghostbusters and the m Patrol? I don't 91 00:05:31,320 --> 00:05:36,920 Speaker 1: ask me, you're the one. Yeah. What is something you 92 00:05:36,960 --> 00:05:39,640 Speaker 1: think is overrated? You know what I think is overrated? 93 00:05:39,640 --> 00:05:43,599 Speaker 1: Paying too much for food? I really because I spent 94 00:05:43,640 --> 00:05:45,920 Speaker 1: a lot of time on the road, and it's like 95 00:05:46,440 --> 00:05:49,280 Speaker 1: this isn't worth what you're saying that's worth. It drives 96 00:05:49,279 --> 00:05:52,480 Speaker 1: me nuts because it's also it's like people who think, 97 00:05:52,600 --> 00:05:54,599 Speaker 1: I mean, there are some item like I think fish. 98 00:05:54,880 --> 00:05:56,920 Speaker 1: You know, it's such a worth the money. It is 99 00:05:56,960 --> 00:05:58,320 Speaker 1: worth the money because of all the work that you 100 00:05:58,320 --> 00:06:00,280 Speaker 1: put into it. But there's some things when like m 101 00:06:00,480 --> 00:06:04,080 Speaker 1: M this is and it's always like the smaller foods 102 00:06:04,120 --> 00:06:07,440 Speaker 1: items like like a shared plates restaurant. Yeah, or like 103 00:06:07,520 --> 00:06:11,240 Speaker 1: salads that don't come with carbohydrates? Why are you? Why 104 00:06:11,320 --> 00:06:18,720 Speaker 1: is this? Well? Good question? And then I'm hungry and 105 00:06:18,760 --> 00:06:20,360 Speaker 1: then you have to order a side. I think that's 106 00:06:20,839 --> 00:06:25,320 Speaker 1: I think that's overrated. Makes sick and tired of paying. Yeah, 107 00:06:25,680 --> 00:06:28,760 Speaker 1: the rent we're paying exactly, you're paying their rent. And 108 00:06:28,800 --> 00:06:32,520 Speaker 1: I hate it because, especially in Los Angeles, it's ridiculous 109 00:06:32,560 --> 00:06:34,640 Speaker 1: because then you, because you do travel, you're like, yeah, 110 00:06:34,680 --> 00:06:38,919 Speaker 1: this is what breakfast should cost less than ten dollars. Yeah. 111 00:06:39,160 --> 00:06:42,760 Speaker 1: I wonder if it's also transportation of the food because 112 00:06:43,279 --> 00:06:47,080 Speaker 1: l A has all the best produce and you know 113 00:06:47,680 --> 00:06:50,000 Speaker 1: so because it's in California, so it should actually be 114 00:06:50,080 --> 00:06:55,279 Speaker 1: cheaper for us, because you're saying is also expensive. Yeah, okay, 115 00:06:56,120 --> 00:06:58,480 Speaker 1: there's so many places you go and you're like that 116 00:06:58,640 --> 00:07:00,800 Speaker 1: looks like you're like, damn, this gonna be a good meal, 117 00:07:00,960 --> 00:07:03,760 Speaker 1: and then eating like this is mediocres fuck and I'm 118 00:07:03,800 --> 00:07:05,960 Speaker 1: really just paying because y'all wanted to put all this 119 00:07:06,120 --> 00:07:09,279 Speaker 1: reclaimed fucking barnwood up from wherever you sourced. And the 120 00:07:09,320 --> 00:07:11,200 Speaker 1: worst is when you have to wait in line for it. 121 00:07:11,280 --> 00:07:13,160 Speaker 1: I never wait in lines for food. I feel like 122 00:07:13,160 --> 00:07:18,600 Speaker 1: that really upsets me. It's like a like a taco truck. Okay, 123 00:07:18,640 --> 00:07:21,920 Speaker 1: that makes that's a line waiting type of transaction. That's 124 00:07:21,920 --> 00:07:24,239 Speaker 1: debatable because it depends on the time. Yeah, two am, 125 00:07:24,280 --> 00:07:26,640 Speaker 1: there probably is a line in afternoon. That's when you 126 00:07:26,680 --> 00:07:29,160 Speaker 1: should be hitting that taco truck right right right. But yeah, 127 00:07:29,160 --> 00:07:31,480 Speaker 1: I guess there's like there is something. Yeah, I'm totally 128 00:07:31,480 --> 00:07:34,320 Speaker 1: put off by lines. There's a few places like around me. 129 00:07:34,360 --> 00:07:36,560 Speaker 1: There aren't necessarily overpriced, but they have like the one 130 00:07:36,640 --> 00:07:40,000 Speaker 1: item that everyone wants at the same time. And I'm like, yeah, 131 00:07:40,280 --> 00:07:43,200 Speaker 1: I remember one time in San Francisco. It wasn't my choice. 132 00:07:43,280 --> 00:07:45,080 Speaker 1: I was hanging out with friends who are like, We're 133 00:07:45,120 --> 00:07:47,000 Speaker 1: going to this restaurant no matter how long the way 134 00:07:47,000 --> 00:07:48,360 Speaker 1: it is, and I hated it because I hate waiting 135 00:07:48,360 --> 00:07:51,880 Speaker 1: in line for food. And uh, there were these sandwiches. 136 00:07:51,920 --> 00:07:54,000 Speaker 1: I don't even They're like, bark for sandwiches. They weren't 137 00:07:54,040 --> 00:07:56,480 Speaker 1: that good. Standing in line for sandwich is the whites 138 00:07:56,480 --> 00:07:59,680 Speaker 1: shoe I've ever done. That's not true. I got sucked 139 00:07:59,720 --> 00:08:04,080 Speaker 1: into the neared once. That's pretty white. Were you wearing 140 00:08:04,120 --> 00:08:07,320 Speaker 1: a linen shirt? I wish? Then that's a white multiplier 141 00:08:07,360 --> 00:08:10,160 Speaker 1: you would add to that score. That's true. Where you 142 00:08:10,200 --> 00:08:12,400 Speaker 1: could you get angry? Is that why I was about 143 00:08:12,400 --> 00:08:14,600 Speaker 1: to say, I feel like we're from the same planet. 144 00:08:14,680 --> 00:08:20,400 Speaker 1: I started dying. I'm so thin, your eating literally dying. 145 00:08:20,600 --> 00:08:23,000 Speaker 1: That's why I can't. I can't. I mean, I always 146 00:08:23,040 --> 00:08:24,840 Speaker 1: have snacks in the car, Like right now, I have 147 00:08:24,880 --> 00:08:27,240 Speaker 1: a piece of fruitful when I leave here. Dang, what 148 00:08:27,360 --> 00:08:32,920 Speaker 1: kind of fruit? A peach? A peach? Peaches? Yeah, I know. 149 00:08:33,360 --> 00:08:35,200 Speaker 1: I was always asked this. You ever have a July 150 00:08:35,360 --> 00:08:38,559 Speaker 1: flame peach? There's a part of the peach growing season. 151 00:08:38,600 --> 00:08:42,719 Speaker 1: I learned this from imminent tiemaker Nicole Rucker. There's a 152 00:08:42,760 --> 00:08:45,120 Speaker 1: peach called she makes a July flame peach. That is it. 153 00:08:45,440 --> 00:08:48,480 Speaker 1: There's a week in July that's especially hot and that 154 00:08:48,600 --> 00:08:51,640 Speaker 1: affects the fruit and of like one week or maybe 155 00:08:51,679 --> 00:08:53,560 Speaker 1: a section of the month, but it's typically in July 156 00:08:53,679 --> 00:08:56,199 Speaker 1: when it's the hottest in these certain areas, and the 157 00:08:56,280 --> 00:08:59,640 Speaker 1: peach becomes like red and very sweet and it's very 158 00:08:59,760 --> 00:09:01,480 Speaker 1: un eat to this one time, I'm like, damn, that's 159 00:09:01,480 --> 00:09:04,040 Speaker 1: a flex for fruit. And so when the people when 160 00:09:04,040 --> 00:09:05,880 Speaker 1: the pie comes out, there like you want this pie 161 00:09:06,000 --> 00:09:09,320 Speaker 1: because these peaches do not they're not always available. They're 162 00:09:09,320 --> 00:09:12,360 Speaker 1: only available for a very specific time during season delicious. 163 00:09:13,360 --> 00:09:15,360 Speaker 1: This is they told you that at a restaurant or 164 00:09:15,440 --> 00:09:18,440 Speaker 1: the person who I learned this, you want to talk 165 00:09:18,440 --> 00:09:20,839 Speaker 1: about some white ship on casey RW okay, And I 166 00:09:20,960 --> 00:09:25,280 Speaker 1: was like, h hello, wow, is not overrated. That's a 167 00:09:25,400 --> 00:09:28,199 Speaker 1: great place to learn ship. Oh yeah, very yeah. That 168 00:09:28,320 --> 00:09:30,559 Speaker 1: always sneaks up on you that information. Oh man, that 169 00:09:30,640 --> 00:09:32,839 Speaker 1: sounds yummy. I had. We grew up with a peach tree, 170 00:09:32,880 --> 00:09:36,880 Speaker 1: orange tree garden, vegetable garden, so like, man, those peaches 171 00:09:36,880 --> 00:09:40,000 Speaker 1: when they're good, they're good. Exactly. There's nothing worse than 172 00:09:40,080 --> 00:09:43,440 Speaker 1: like an unripe or just not banging peach. I don't 173 00:09:43,440 --> 00:09:45,559 Speaker 1: know what it is about episode what are we doing? 174 00:09:47,800 --> 00:09:52,360 Speaker 1: What if something you think is underrated? Underrated? My people's food, 175 00:09:52,360 --> 00:09:55,120 Speaker 1: Salvadorian food, I think like and not enough people know 176 00:09:55,200 --> 00:09:58,640 Speaker 1: about Salvadorian food, and I think more people should learn 177 00:09:58,679 --> 00:10:00,839 Speaker 1: about it because it's so good. And what's crazy is 178 00:10:00,920 --> 00:10:04,040 Speaker 1: because people in al Salvador came to this country. They've 179 00:10:04,120 --> 00:10:06,800 Speaker 1: been coming to this country. But there was a place 180 00:10:06,840 --> 00:10:09,959 Speaker 1: in Chattanooga, Tennessee that was like an incredible place to 181 00:10:10,000 --> 00:10:12,839 Speaker 1: find pubusas, which I didn't think would be possible, but 182 00:10:12,840 --> 00:10:15,400 Speaker 1: it just proved that what matters is the person making them. 183 00:10:15,440 --> 00:10:17,240 Speaker 1: And they were so good. There's some of the best 184 00:10:17,240 --> 00:10:20,840 Speaker 1: boosters I've ever had. We were just screaming about papoosa's 185 00:10:20,880 --> 00:10:24,360 Speaker 1: less because they're so good. Yeah. I can make them. 186 00:10:24,400 --> 00:10:25,920 Speaker 1: They're not like great, but I can make them and 187 00:10:26,160 --> 00:10:27,760 Speaker 1: it's nice. I can make the cord though, and it's 188 00:10:27,840 --> 00:10:31,000 Speaker 1: nice to eat. It was also my mom because my 189 00:10:31,080 --> 00:10:33,040 Speaker 1: mom loves puba, but she also loves pizza. And then 190 00:10:33,160 --> 00:10:35,840 Speaker 1: recently we were like, oh, yeah, bubosas are like pizza 191 00:10:36,480 --> 00:10:39,440 Speaker 1: in Central America because it's just it's the it's the car, 192 00:10:39,559 --> 00:10:42,720 Speaker 1: but it's the cheese, it's the sauce. Um, and then 193 00:10:42,760 --> 00:10:46,120 Speaker 1: a meat maybe And what what is your favorite papoose on? 194 00:10:46,240 --> 00:10:48,080 Speaker 1: Like what are the ingredients? Like, what are the kind 195 00:10:48,120 --> 00:10:51,400 Speaker 1: of member of Yeah, that's the ground up pork with 196 00:10:51,520 --> 00:10:54,800 Speaker 1: the beans and the cheese. Um, what's the base, what's 197 00:10:54,840 --> 00:10:59,839 Speaker 1: the carbon the well the corn um flower called the 198 00:11:00,040 --> 00:11:03,839 Speaker 1: massa Yeah yeah, and um, it's just a perfect It's 199 00:11:03,840 --> 00:11:06,280 Speaker 1: also like what I love about them. You're supposed to 200 00:11:06,280 --> 00:11:08,880 Speaker 1: get them with gordillo and sausa, which is delicious, but 201 00:11:09,040 --> 00:11:11,760 Speaker 1: like I do like when you have like day old 202 00:11:11,800 --> 00:11:14,120 Speaker 1: bubusas and you can just pack them to go again 203 00:11:14,240 --> 00:11:17,360 Speaker 1: foot in the car. That's easy to eat. It's always nice. Also, 204 00:11:17,440 --> 00:11:20,000 Speaker 1: they reheat really well because you can put that in 205 00:11:20,040 --> 00:11:22,520 Speaker 1: a pan and that's the best way to reheat them 206 00:11:22,640 --> 00:11:26,959 Speaker 1: is on the um. And yeah, it's an easy reheat. 207 00:11:27,000 --> 00:11:29,240 Speaker 1: And they're so they taste like they're they're not even old. 208 00:11:29,320 --> 00:11:35,120 Speaker 1: Also underrated punk another puncocho can make that two bits. Yeah, 209 00:11:36,160 --> 00:11:38,600 Speaker 1: it's good. That turkey is good. It's a sausa that's 210 00:11:38,640 --> 00:11:42,079 Speaker 1: a mix of spices that makes the sauce really good 211 00:11:42,200 --> 00:11:43,560 Speaker 1: and it makes it real juice. Where do you get 212 00:11:44,120 --> 00:11:47,280 Speaker 1: in l as The lady around the corner from where 213 00:11:47,280 --> 00:11:49,000 Speaker 1: I like that sells them out of our house. That's 214 00:11:49,080 --> 00:11:51,280 Speaker 1: she makes them so good. I'm in Highland Park and 215 00:11:51,559 --> 00:11:53,439 Speaker 1: Park there's a lot of ladies selling bubooses out of 216 00:11:53,480 --> 00:11:55,720 Speaker 1: the house. Hopefully the white people don't call it copped 217 00:11:55,760 --> 00:11:58,000 Speaker 1: on them. Sometimes you see those signs that are like 218 00:11:58,160 --> 00:12:01,000 Speaker 1: a non vending Z Yeah that I hate that ship 219 00:12:01,800 --> 00:12:04,440 Speaker 1: Do the vendors over make this area great? So that't 220 00:12:04,480 --> 00:12:06,560 Speaker 1: to my boy Mike, who's fighting to make street vending legal. 221 00:12:07,360 --> 00:12:09,319 Speaker 1: Oh cool, look me up. With him. I want to 222 00:12:09,360 --> 00:12:11,360 Speaker 1: know who he doesn't want to support that ship. Oh yeah, yeah, 223 00:12:11,480 --> 00:12:13,600 Speaker 1: he's he's yeah, he's a lot of the stuff he's 224 00:12:13,600 --> 00:12:15,440 Speaker 1: doing recently and now he's moved on to homelessness. He's 225 00:12:15,600 --> 00:12:17,199 Speaker 1: he's just like helping l A in every way. But 226 00:12:17,880 --> 00:12:19,680 Speaker 1: he had a huge It was part of the huge 227 00:12:19,760 --> 00:12:22,160 Speaker 1: push to help legalize street vending in the city because 228 00:12:22,440 --> 00:12:25,200 Speaker 1: it's one of the few places people can actually earn money, 229 00:12:25,920 --> 00:12:29,360 Speaker 1: like with their own skills versus without it being criminalized 230 00:12:29,360 --> 00:12:32,319 Speaker 1: and like using these things like it's unsanitary and you're like, 231 00:12:32,480 --> 00:12:33,920 Speaker 1: when you look at some of the numbers, a lot 232 00:12:33,960 --> 00:12:37,000 Speaker 1: of these people are not poisoning people like the restaurants, 233 00:12:37,160 --> 00:12:42,160 Speaker 1: right exactly? Who overrated expensive restaurants? Yeah, who's pushing to 234 00:12:42,600 --> 00:12:46,000 Speaker 1: fight against the is it just like local restaurants and 235 00:12:46,240 --> 00:12:48,599 Speaker 1: chambers of commerce who just don't they're you know, or 236 00:12:48,640 --> 00:12:52,559 Speaker 1: neighborhood groups just gentrifiers who are like, I don't know, 237 00:12:52,840 --> 00:12:56,640 Speaker 1: like it's weird that they're selling Casey Dilla's like, which 238 00:12:56,679 --> 00:12:58,480 Speaker 1: is funny because then they go on their Twitter and 239 00:12:58,480 --> 00:13:02,880 Speaker 1: they're like, oh my god, legal immigrants are those are 240 00:13:02,920 --> 00:13:05,400 Speaker 1: usually those people. Also that woman who makes case itdeas 241 00:13:05,440 --> 00:13:12,160 Speaker 1: by echo park. Get onto that one. Yeah, taking nuts, 242 00:13:13,080 --> 00:13:23,199 Speaker 1: left handed, pompo. Pick a turkey sandwich. It's made with 243 00:13:23,280 --> 00:13:26,559 Speaker 1: like a french baggett uh bread and it's made with 244 00:13:26,640 --> 00:13:30,240 Speaker 1: the turkey that's prepared salvador In style, with its particular 245 00:13:30,320 --> 00:13:36,880 Speaker 1: spices and so juicy. And then it's like cucumbers, tomatoes, radishes, lettuce, mayonnaise. 246 00:13:37,320 --> 00:13:39,840 Speaker 1: And if you want to get the drink and oh 247 00:13:39,880 --> 00:13:42,800 Speaker 1: yeah that's good. A lot salad o used to used to. 248 00:13:44,120 --> 00:13:54,559 Speaker 1: The drink is in Salada. Just I can you're here? Uh? 249 00:13:54,840 --> 00:13:57,240 Speaker 1: And are we going to do a myth today? No? 250 00:13:57,440 --> 00:13:59,400 Speaker 1: I hate this section of your Guys show. I would 251 00:13:59,520 --> 00:14:01,600 Speaker 1: support it. I don't want to participate. I mean I'm 252 00:14:01,600 --> 00:14:04,240 Speaker 1: supposed to like what myth bus the chupa that doesn't 253 00:14:04,280 --> 00:14:12,199 Speaker 1: make sense. I was actually hoping hoping. I guess we'll 254 00:14:12,280 --> 00:14:17,839 Speaker 1: never know. Let's talk about Kroger and Walmart leading the 255 00:14:17,960 --> 00:14:22,760 Speaker 1: gun control charge. Yeah, that's we were at a point 256 00:14:22,800 --> 00:14:26,080 Speaker 1: where we have to rely. Well, there's a way to 257 00:14:26,160 --> 00:14:29,160 Speaker 1: look at this this positively and cynically like everything right, 258 00:14:29,200 --> 00:14:33,080 Speaker 1: because you know right now where obviously there's tons of 259 00:14:33,200 --> 00:14:37,680 Speaker 1: public outcry for background checks or any kind of you know, 260 00:14:37,840 --> 00:14:41,560 Speaker 1: meaningful gun legislation. But you know, obviously the leadership on 261 00:14:41,640 --> 00:14:44,240 Speaker 1: the right in general is not wanting to do anything 262 00:14:44,280 --> 00:14:47,000 Speaker 1: about it. But um, if you're looking for the bare 263 00:14:47,080 --> 00:14:49,840 Speaker 1: minimum from a private company, look no further than these 264 00:14:49,880 --> 00:14:53,120 Speaker 1: two places. Because Walmart just came out and said it's 265 00:14:53,160 --> 00:14:57,160 Speaker 1: gonna stop selling ammunition for military style assault rifles and 266 00:14:57,360 --> 00:15:00,960 Speaker 1: discourage customers from openly carrying guns in a stores and 267 00:15:01,040 --> 00:15:03,800 Speaker 1: would also call on Congress to increase background checks and 268 00:15:03,880 --> 00:15:07,480 Speaker 1: consider an assault rifle band from Walmart. Now, this is 269 00:15:07,560 --> 00:15:11,040 Speaker 1: after somebody shot like dozens of people to death in 270 00:15:11,120 --> 00:15:14,920 Speaker 1: there in a Walmart and also shooting he could you 271 00:15:14,960 --> 00:15:19,480 Speaker 1: do us have favor and not not carry these deadly 272 00:15:19,560 --> 00:15:22,160 Speaker 1: weapons around openly? In our story, yeah, Kroger was a 273 00:15:22,200 --> 00:15:24,880 Speaker 1: little bit like, just don't bring them in please, I 274 00:15:25,000 --> 00:15:29,320 Speaker 1: just want to Roger fear of curious how they tied 275 00:15:29,400 --> 00:15:32,600 Speaker 1: into the conversation. Well, I mean they own like fred Meyer, 276 00:15:32,800 --> 00:15:35,200 Speaker 1: which would sell ammunition. I think they cut down on 277 00:15:35,280 --> 00:15:37,200 Speaker 1: their sales of ammunition a while back. But I just 278 00:15:37,400 --> 00:15:39,160 Speaker 1: I guess in general they're like, Yo, nobody wants to 279 00:15:39,160 --> 00:15:40,960 Speaker 1: go to the grocery store and see you walk around 280 00:15:40,960 --> 00:15:43,640 Speaker 1: with a wild ass gun on your hip or whatever 281 00:15:43,880 --> 00:15:46,240 Speaker 1: or slung on your shoulder. Do a duel for bandanas 282 00:15:46,360 --> 00:15:47,880 Speaker 1: or some ship, right, and if you do it, do 283 00:15:47,960 --> 00:15:49,800 Speaker 1: it in the dueling parking lot away from the public 284 00:15:49,920 --> 00:15:54,280 Speaker 1: so no one is and duel with swords like, yeah, right, exactly, 285 00:15:54,360 --> 00:15:57,640 Speaker 1: pussy duel with swords like they do. Wasn't what was 286 00:15:57,680 --> 00:15:59,840 Speaker 1: the last sword? Wasn't there like in a movie about 287 00:15:59,880 --> 00:16:01,400 Speaker 1: the come out? Yeah, there's a movie that's going to 288 00:16:01,480 --> 00:16:04,840 Speaker 1: come out that's about the last duel. Uh, and it is. 289 00:16:05,280 --> 00:16:07,680 Speaker 1: It took place in the sixties and France and it's 290 00:16:07,720 --> 00:16:10,720 Speaker 1: there just you guys murder each other. Yeah. I think 291 00:16:10,720 --> 00:16:20,200 Speaker 1: it's gonna be a gun. I'm aiming it right at you. Man, 292 00:16:20,800 --> 00:16:23,600 Speaker 1: get fucking what I fucking tell you, Pierre back, he 293 00:16:23,800 --> 00:16:27,440 Speaker 1: slaps the gun with his glove. It was recent enough 294 00:16:27,520 --> 00:16:31,360 Speaker 1: that there is black and white footage of the last duel, 295 00:16:31,520 --> 00:16:35,560 Speaker 1: like these dudes like fighting west swords wild the funk out. 296 00:16:35,880 --> 00:16:39,080 Speaker 1: But yeah, I think you know. People were obviously applauding 297 00:16:39,120 --> 00:16:43,400 Speaker 1: Walmart because the hilarious right. But again that's where the 298 00:16:43,440 --> 00:16:46,480 Speaker 1: cynical view comes in, where people are saying, look, they 299 00:16:46,520 --> 00:16:48,720 Speaker 1: also have an eye on their e commerce business because 300 00:16:48,800 --> 00:16:52,760 Speaker 1: clearly they already have the they've already destroyed Middle America 301 00:16:52,880 --> 00:16:55,680 Speaker 1: and rural towns with their big box stores. But it's 302 00:16:55,680 --> 00:16:58,000 Speaker 1: their e commerce business that they want to expand, and 303 00:16:58,120 --> 00:16:59,960 Speaker 1: to get into that business, they need to appeal more 304 00:17:00,080 --> 00:17:03,880 Speaker 1: or to like coastal liberal neighborhoods, and so they feel like, 305 00:17:04,080 --> 00:17:06,200 Speaker 1: you know, people will be like, well this, this doesn't 306 00:17:06,359 --> 00:17:10,280 Speaker 1: hurt their ambition to get into that market. Yeah, but 307 00:17:10,520 --> 00:17:12,200 Speaker 1: I mean, at the very least do if they just 308 00:17:12,320 --> 00:17:14,720 Speaker 1: do what's right. It's like it's almost like you don't 309 00:17:14,800 --> 00:17:18,439 Speaker 1: need to even suggest that what they're doing has an 310 00:17:18,440 --> 00:17:23,800 Speaker 1: alternative motive, because they always like that all corporations have, 311 00:17:24,400 --> 00:17:27,080 Speaker 1: like that decision was made in a boardroom, not by 312 00:17:27,160 --> 00:17:29,520 Speaker 1: somebody who was like, what's the right thing to do? 313 00:17:30,200 --> 00:17:32,560 Speaker 1: That has never happened. It's going to get us into 314 00:17:32,600 --> 00:17:35,199 Speaker 1: the headlines. The most liddy move we can do, right. 315 00:17:35,680 --> 00:17:38,320 Speaker 1: I just I hope that they get into customizing handguns. 316 00:17:38,400 --> 00:17:40,560 Speaker 1: That would be kind of fun. Walmart. You go into Walmart, 317 00:17:40,640 --> 00:17:42,920 Speaker 1: you customize your own handgun. It's like like when you 318 00:17:43,000 --> 00:17:45,399 Speaker 1: make your own house key. Just place your gun in 319 00:17:45,480 --> 00:17:49,480 Speaker 1: the tray, choose your design. Also on the right, the 320 00:17:49,560 --> 00:17:52,600 Speaker 1: way that they are dealing with people pushing gun control, 321 00:17:52,920 --> 00:17:56,119 Speaker 1: is with paranoid freak outs. The top story on Drudge 322 00:17:56,320 --> 00:17:59,879 Speaker 1: right now is social credit score to determine who can 323 00:18:00,040 --> 00:18:03,800 Speaker 1: by gun and Amazon Echo and Apple Watch would flag 324 00:18:03,880 --> 00:18:11,919 Speaker 1: neuropsychiatric violence and those sources Info Wars and the Daily Caller, 325 00:18:12,400 --> 00:18:15,679 Speaker 1: Well what shred of reality? Because they're always based. They 326 00:18:15,760 --> 00:18:19,439 Speaker 1: just need a fucking pubic hair of truth. So then 327 00:18:19,640 --> 00:18:22,240 Speaker 1: blow that up into like a full blown story. So what, like, 328 00:18:22,440 --> 00:18:25,840 Speaker 1: is there anything to suggests that there's like technical I 329 00:18:25,920 --> 00:18:30,560 Speaker 1: think people are looking into ways that you can foresee 330 00:18:30,920 --> 00:18:33,560 Speaker 1: that somebody is going to go on a violent rampage. 331 00:18:33,880 --> 00:18:38,520 Speaker 1: For sure. Some of the some of the red flag 332 00:18:38,600 --> 00:18:43,159 Speaker 1: laws are specifically aimed at if somebody has like is 333 00:18:43,640 --> 00:18:46,119 Speaker 1: saying certain things, you want to get guns out of 334 00:18:46,160 --> 00:18:49,560 Speaker 1: their hands. Like that's as if that's crazy, because then 335 00:18:49,600 --> 00:18:52,120 Speaker 1: I won't be able to have a gun wild ship 336 00:18:53,000 --> 00:18:55,280 Speaker 1: to myself. Just to be funny, like all right, miss 337 00:18:55,320 --> 00:18:59,359 Speaker 1: our Guale, we'll just check your Twitter would definitely canceled 338 00:18:59,400 --> 00:19:03,600 Speaker 1: me from Okay, HTF is on their way. That's interesting. 339 00:19:03,760 --> 00:19:07,000 Speaker 1: That's its own different type of discrimination. Well yeah, I 340 00:19:07,040 --> 00:19:08,399 Speaker 1: mean it's the same thing, like what they're doing with 341 00:19:08,480 --> 00:19:10,320 Speaker 1: people's visas at the border. There was like that one 342 00:19:10,359 --> 00:19:12,960 Speaker 1: student who they denied or tried to deny his entry 343 00:19:13,000 --> 00:19:15,720 Speaker 1: to Harvard. But then there was another report saying this 344 00:19:15,840 --> 00:19:18,600 Speaker 1: is just a growing trend of them of like customs 345 00:19:18,640 --> 00:19:21,560 Speaker 1: and border patrol looking at people's social media feeds and 346 00:19:21,680 --> 00:19:24,000 Speaker 1: what other people might be saying on their feeds and 347 00:19:24,080 --> 00:19:26,840 Speaker 1: then holding them accountable. Right, they should put women in 348 00:19:26,960 --> 00:19:30,280 Speaker 1: charge of these decisions. Uh yeah, I mean are good 349 00:19:30,359 --> 00:19:32,480 Speaker 1: deciders of like which men are kind of like I 350 00:19:32,520 --> 00:19:33,959 Speaker 1: don't even think, Yeah, they wouldn't even need to look 351 00:19:33,960 --> 00:19:35,760 Speaker 1: at Twitter feed, just kind of look you up and down, 352 00:19:35,840 --> 00:19:42,600 Speaker 1: like what's what's your favorite T shirt? Right? A little 353 00:19:42,680 --> 00:19:44,560 Speaker 1: too thin on the shoulders, like you've been wearing it 354 00:19:44,600 --> 00:19:47,560 Speaker 1: a T shirt? I don't know. I mean in Utero 355 00:19:47,840 --> 00:19:55,160 Speaker 1: was good, but uh, there is apparently a Harper Health 356 00:19:55,520 --> 00:20:00,119 Speaker 1: Advanced Research Projects Agency, Uh not to become a is 357 00:20:00,160 --> 00:20:05,000 Speaker 1: with HARPO right or dark or DARA right, which I 358 00:20:05,080 --> 00:20:09,400 Speaker 1: think it is related. HARPA is like the health wing 359 00:20:09,600 --> 00:20:13,359 Speaker 1: of DARPA. But they're apparently putting together a proposal to 360 00:20:13,560 --> 00:20:16,960 Speaker 1: develop a way to identify early signs of changes in 361 00:20:17,119 --> 00:20:20,959 Speaker 1: people with mental illness that could lead to violent behavior. Um. 362 00:20:21,359 --> 00:20:25,120 Speaker 1: But again, this assumes that the problem is mental illness 363 00:20:25,280 --> 00:20:29,159 Speaker 1: as opposed to the fact that people are allowed to have, 364 00:20:30,119 --> 00:20:32,320 Speaker 1: you know, things in their hands that if they press 365 00:20:32,359 --> 00:20:34,760 Speaker 1: a button it ends their life for the lives of 366 00:20:35,080 --> 00:20:39,119 Speaker 1: other people. I wonder, is that thing where they can 367 00:20:39,160 --> 00:20:41,600 Speaker 1: measure changes in people? It's like, and the solution is 368 00:20:41,640 --> 00:20:44,240 Speaker 1: to put microchips in their brains. Man, that is going 369 00:20:44,280 --> 00:20:46,879 Speaker 1: to happen? Or is it wearable tech? I mean this 370 00:20:47,080 --> 00:20:51,399 Speaker 1: sounds like implanted things get dystopian very quickly. If we 371 00:20:51,840 --> 00:20:55,160 Speaker 1: insist on letting everybody have guns. It's like, we'll keep 372 00:20:55,200 --> 00:20:57,840 Speaker 1: the guns, but everyone has to get a fucking brain implant. 373 00:20:58,800 --> 00:21:01,960 Speaker 1: They just need to be able to control roll our brains. Yeah. 374 00:21:02,240 --> 00:21:05,159 Speaker 1: Oh my god. I was telling Miles before we started 375 00:21:05,200 --> 00:21:08,480 Speaker 1: about how people are sharing this meme of like encouraging 376 00:21:09,040 --> 00:21:12,320 Speaker 1: kids and just started school to be kind, be kind 377 00:21:12,480 --> 00:21:14,800 Speaker 1: to a kid that isn't making any friends, or if 378 00:21:14,800 --> 00:21:17,119 Speaker 1: you see so many getting bullied, which I feel is 379 00:21:17,240 --> 00:21:22,800 Speaker 1: like the inception of like stopping school shooters before they start. God, 380 00:21:23,560 --> 00:21:26,080 Speaker 1: I mean that's how I see it. Yeah, it's like 381 00:21:26,200 --> 00:21:28,520 Speaker 1: be kind to the losers. That's basically what it's saying. 382 00:21:28,640 --> 00:21:32,000 Speaker 1: And like, I mean that's what they said about like 383 00:21:32,160 --> 00:21:37,399 Speaker 1: that's that was the initial uh response to the Columbine shooting, right, 384 00:21:37,560 --> 00:21:39,760 Speaker 1: that these kids have been like bullied and almost to 385 00:21:40,040 --> 00:21:43,399 Speaker 1: make them into like these underdog heroes. And it turns 386 00:21:43,440 --> 00:21:47,160 Speaker 1: out like one of them was just a like stereotypical 387 00:21:47,400 --> 00:21:53,440 Speaker 1: or like textbook antisocial psychopath murderer who just manipulated the 388 00:21:53,520 --> 00:21:57,040 Speaker 1: other kid into doing it. Yeah, manage just what happens, right, right, 389 00:21:57,240 --> 00:22:00,440 Speaker 1: But we we like to tell stories, and it's weird 390 00:22:00,480 --> 00:22:05,240 Speaker 1: because that particular story like makes the victims into kind 391 00:22:05,280 --> 00:22:08,159 Speaker 1: of the bad guys, right as it's like, well, they 392 00:22:08,200 --> 00:22:11,160 Speaker 1: brought this on themselves. There's we we have a hard 393 00:22:11,240 --> 00:22:16,000 Speaker 1: time like accepting the fact that deserve doesn't like in 394 00:22:16,080 --> 00:22:19,080 Speaker 1: the words of the Unforgiven, deserves got nothing to do 395 00:22:19,160 --> 00:22:22,159 Speaker 1: with it. Like we always want deserve to have, like 396 00:22:22,800 --> 00:22:26,000 Speaker 1: there to be the people have to have like deserved 397 00:22:26,040 --> 00:22:28,520 Speaker 1: it or there has to be like some explanation, right 398 00:22:28,640 --> 00:22:31,240 Speaker 1: that there can't just be evil, that it's just bad people. 399 00:22:32,160 --> 00:22:34,000 Speaker 1: All Right, we're gonna take a quick break. We'll be 400 00:22:34,160 --> 00:22:48,919 Speaker 1: right back, and we're back. And Miles, you you pointed 401 00:22:48,960 --> 00:22:53,720 Speaker 1: out this look at Trump supporters as an expression of 402 00:22:53,920 --> 00:22:58,000 Speaker 1: this new trend, Yeah, a need for chaos. So these 403 00:22:58,040 --> 00:23:03,960 Speaker 1: political scientists they did like six surveys, their European researchers, 404 00:23:04,400 --> 00:23:06,959 Speaker 1: but they did four surveys in the US where they 405 00:23:07,600 --> 00:23:10,440 Speaker 1: like interviewed over five thousand participants and two in Denmark 406 00:23:10,560 --> 00:23:15,080 Speaker 1: with like somewhere around to kind of find like they 407 00:23:15,160 --> 00:23:18,359 Speaker 1: had this theory essentially that there's a need from for 408 00:23:18,480 --> 00:23:21,560 Speaker 1: some people who are participating in politics or a democracy 409 00:23:22,080 --> 00:23:25,280 Speaker 1: that are just looking for what they call chaos incitement, 410 00:23:25,720 --> 00:23:30,560 Speaker 1: which is a strategy of last resort by marginalized status seekers. Um. 411 00:23:30,720 --> 00:23:33,040 Speaker 1: So what they're essentially saying is like, you know, Trump 412 00:23:33,280 --> 00:23:36,800 Speaker 1: has often just sort of tried to create this narrative 413 00:23:36,880 --> 00:23:40,119 Speaker 1: that America is in chaos, um, and you know, like 414 00:23:40,240 --> 00:23:42,000 Speaker 1: that sort of build himself up to be like, look 415 00:23:42,040 --> 00:23:44,480 Speaker 1: at these other presidents, their failures, it's chaos. It's chaos. 416 00:23:44,560 --> 00:23:47,280 Speaker 1: It's chaos. We need to change it. Um. But they 417 00:23:47,400 --> 00:23:49,879 Speaker 1: found that a lot of these people who have a 418 00:23:50,040 --> 00:23:52,720 Speaker 1: need for chaos, they sort of get that out or 419 00:23:52,760 --> 00:23:56,040 Speaker 1: express that need by just spreading like conspiracy theories and 420 00:23:56,119 --> 00:23:58,320 Speaker 1: fake news and all this other stuff. And it's not 421 00:23:58,480 --> 00:24:01,520 Speaker 1: necessarily because they're trying to read their own ideology. It's 422 00:24:01,560 --> 00:24:04,320 Speaker 1: just that their ideology is that they want to undermine 423 00:24:04,640 --> 00:24:08,879 Speaker 1: the political establishment, elites whatever and try and get others 424 00:24:09,000 --> 00:24:12,160 Speaker 1: inspired to be like, yeah, fuck this thing. And before 425 00:24:12,200 --> 00:24:13,719 Speaker 1: I think a lot of times you could look at 426 00:24:13,840 --> 00:24:16,400 Speaker 1: is like, oh, these people want this specific thing, that's 427 00:24:16,440 --> 00:24:18,919 Speaker 1: why they're tweeting this out. But there, you know, as 428 00:24:18,960 --> 00:24:20,879 Speaker 1: they look at it, they're like, no, these people really 429 00:24:21,000 --> 00:24:23,840 Speaker 1: just do this, not even because they believe that it's true. 430 00:24:24,359 --> 00:24:26,879 Speaker 1: They say quote for the core group, hostile political rumors 431 00:24:26,880 --> 00:24:30,680 Speaker 1: are simply a tool to create havoc. So in the 432 00:24:30,800 --> 00:24:33,399 Speaker 1: way they identified these people is that they found that 433 00:24:34,000 --> 00:24:35,960 Speaker 1: the people who are like really into this sort of 434 00:24:36,080 --> 00:24:40,800 Speaker 1: this drawn to chaos category that they had affirmative responses 435 00:24:40,840 --> 00:24:44,200 Speaker 1: to the following statements. I fantasize about a natural disaster 436 00:24:44,320 --> 00:24:46,880 Speaker 1: wiping out most of humanity such that a small group 437 00:24:46,920 --> 00:24:49,879 Speaker 1: of people can start all over. I think society should 438 00:24:49,920 --> 00:24:52,040 Speaker 1: be burned to the ground. When I think about our 439 00:24:52,080 --> 00:24:55,080 Speaker 1: political and social institutions, I cannot help thinking quote, just 440 00:24:55,280 --> 00:24:57,680 Speaker 1: let them all burn. We cannot fix the problems in 441 00:24:57,720 --> 00:24:59,680 Speaker 1: our social institutions. We need to tear them down and 442 00:24:59,680 --> 00:25:03,720 Speaker 1: start over. I sometimes I just feel like destroying beautiful things. Well, 443 00:25:03,800 --> 00:25:06,280 Speaker 1: I relate to all of these statements. Yeah, I agree 444 00:25:06,320 --> 00:25:10,040 Speaker 1: with all of them. Well, they say, like a lot 445 00:25:10,119 --> 00:25:13,360 Speaker 1: of these tied strongly to support for Trump and then 446 00:25:13,440 --> 00:25:16,359 Speaker 1: even to Bernie Sanders to a lesser extent, right, because 447 00:25:16,400 --> 00:25:18,280 Speaker 1: like these are vague in the in the sense that 448 00:25:18,359 --> 00:25:21,760 Speaker 1: if you can see, like, oh, we're this capitalist structure 449 00:25:21,840 --> 00:25:24,200 Speaker 1: we live under, like is not working. We need to 450 00:25:24,320 --> 00:25:25,960 Speaker 1: let this ship burnt. I mean, that's the thing we've 451 00:25:26,000 --> 00:25:30,040 Speaker 1: even said about like fucking burn it down. But it's very, 452 00:25:30,400 --> 00:25:33,879 Speaker 1: very strong with people who identified as like supporting Trump's 453 00:25:33,880 --> 00:25:37,120 Speaker 1: Some of Trump's earliest supporters were these people who looked 454 00:25:37,160 --> 00:25:41,399 Speaker 1: at like psychographic data that they had stolen basically from Facebook, 455 00:25:41,800 --> 00:25:46,360 Speaker 1: and we're like we've been tracking like political like where 456 00:25:46,440 --> 00:25:50,159 Speaker 1: people were in America politically, and right now it just 457 00:25:50,359 --> 00:25:52,960 Speaker 1: spiked in terms of people who are ready for like 458 00:25:53,040 --> 00:25:56,040 Speaker 1: an outsider candidate to come in and just basically flip 459 00:25:56,160 --> 00:25:59,520 Speaker 1: the checkers table and you know, just upend the game. 460 00:25:59,800 --> 00:26:03,240 Speaker 1: And so that makes sense that like Bernie who's coming 461 00:26:03,280 --> 00:26:06,760 Speaker 1: in and like criticizing things from the outside, and also Trump, 462 00:26:06,880 --> 00:26:09,359 Speaker 1: like both of these people who don't make sense to 463 00:26:09,480 --> 00:26:13,920 Speaker 1: the mainstream media would come in and like have some success. 464 00:26:14,000 --> 00:26:15,879 Speaker 1: I mean it shows it's at the very least there 465 00:26:15,960 --> 00:26:18,520 Speaker 1: is a growing number of people who feel completely powerless 466 00:26:18,600 --> 00:26:23,159 Speaker 1: in this system, and now are can some embrace just 467 00:26:23,320 --> 00:26:25,520 Speaker 1: its total destruction? I mean more other people just want 468 00:26:25,560 --> 00:26:27,359 Speaker 1: to see it shook up. Yeah, I mean people have 469 00:26:27,480 --> 00:26:32,760 Speaker 1: been wanting, you know, fantasizing about zombie apocalypse is forever 470 00:26:33,200 --> 00:26:35,879 Speaker 1: decades now. I remember when that was like the fucking 471 00:26:36,000 --> 00:26:38,240 Speaker 1: every urban Outfitters gift had something to do with the 472 00:26:38,359 --> 00:26:42,760 Speaker 1: zombie apocalypse, the Zombie Survival Guide, which I read. Yeah, 473 00:26:42,840 --> 00:26:46,560 Speaker 1: I mean the idea of simplifying things. I think there's 474 00:26:46,600 --> 00:26:50,920 Speaker 1: something alienating and a little bit like a deep existential 475 00:26:51,119 --> 00:26:53,639 Speaker 1: terror about the number of people there are in the 476 00:26:53,680 --> 00:26:56,040 Speaker 1: world and like how big the world is. That Like, 477 00:26:56,160 --> 00:26:59,320 Speaker 1: people don't really like to kind of tangle with the 478 00:26:59,480 --> 00:27:03,080 Speaker 1: idea that you're actually just one of you know, uh, 479 00:27:03,520 --> 00:27:09,159 Speaker 1: seven billion people. Yeah, I think I think that Fox 480 00:27:09,200 --> 00:27:12,119 Speaker 1: with people and that's where you know, a lot of 481 00:27:12,200 --> 00:27:15,200 Speaker 1: our movies are about finding out that you're secretly the 482 00:27:15,280 --> 00:27:18,160 Speaker 1: most important person on the planet, like in The Matrix 483 00:27:18,320 --> 00:27:21,119 Speaker 1: or Harry Potter. You know, like all these huge movies 484 00:27:21,200 --> 00:27:23,680 Speaker 1: are just like, oh, it turns out I'm the only 485 00:27:23,760 --> 00:27:27,840 Speaker 1: one who matters, which is yeah. I think this whole 486 00:27:28,040 --> 00:27:32,520 Speaker 1: movement is tapping into a very human like way of 487 00:27:32,600 --> 00:27:35,080 Speaker 1: confronting that and just being like, holy sh it. Like 488 00:27:35,960 --> 00:27:39,760 Speaker 1: in America especially, we don't deal with things by thinking 489 00:27:40,200 --> 00:27:42,960 Speaker 1: about ourselves as part of a collective, or at least 490 00:27:43,000 --> 00:27:45,960 Speaker 1: we don't do that well. We don't like changing about 491 00:27:46,520 --> 00:27:49,080 Speaker 1: out of that. That is the problem with a lot 492 00:27:49,119 --> 00:27:51,440 Speaker 1: of people. They don't think, I mean, to quote George 493 00:27:51,480 --> 00:27:55,400 Speaker 1: coustans are living in a society. Um, I think that's 494 00:27:55,400 --> 00:27:57,160 Speaker 1: the problem, is that a lot of people don't move 495 00:27:57,240 --> 00:27:59,160 Speaker 1: with other people in mind, and the day to day 496 00:27:59,640 --> 00:28:02,800 Speaker 1: asked becks and that's that's what's frustrating. It's like a 497 00:28:02,920 --> 00:28:05,879 Speaker 1: really good example of that is when um, you're driving 498 00:28:05,920 --> 00:28:07,919 Speaker 1: and a bus tries to merge and you see how 499 00:28:08,000 --> 00:28:10,800 Speaker 1: many people won't let a bus merge. That drives me 500 00:28:10,920 --> 00:28:14,440 Speaker 1: fucking crazy. The bus trucks, Yeah, I would see that 501 00:28:14,480 --> 00:28:16,560 Speaker 1: where trucks are like in an exit lane and they're 502 00:28:16,600 --> 00:28:20,160 Speaker 1: like I have to get over or murder like, yeah, 503 00:28:20,520 --> 00:28:23,399 Speaker 1: that's crazy. It's gridlocked traffic and it's like dude, what 504 00:28:23,440 --> 00:28:26,400 Speaker 1: do you And it's a RESTful of people let them 505 00:28:26,440 --> 00:28:28,880 Speaker 1: in I don't know, it's just you see examples all 506 00:28:28,920 --> 00:28:31,080 Speaker 1: the time. I mean, even like the stupid stupid straw 507 00:28:31,200 --> 00:28:34,240 Speaker 1: thing is ridiculous of like how we're banning straws, but 508 00:28:34,359 --> 00:28:37,000 Speaker 1: like we can't. I don't know, we can't ban plastic 509 00:28:37,280 --> 00:28:40,440 Speaker 1: in general. We're so dependent on that. But we want 510 00:28:40,480 --> 00:28:43,120 Speaker 1: to get rid of these straws, which is proof that 511 00:28:43,160 --> 00:28:45,800 Speaker 1: like nobody has any good ideas, right well, yeah, and 512 00:28:45,840 --> 00:28:48,040 Speaker 1: the ones that are would hold like too much of 513 00:28:48,160 --> 00:28:51,920 Speaker 1: the stakeholders at the top of industries accountable and like no, no, don't, 514 00:28:52,240 --> 00:28:54,840 Speaker 1: don't bring that spotlight over here. Yeah, I mean that's 515 00:28:54,840 --> 00:28:56,480 Speaker 1: what I mean. Look at jay Z trying to be like, 516 00:28:56,760 --> 00:28:59,440 Speaker 1: let me fix the NFL, and it's like, dude, what 517 00:28:59,560 --> 00:29:01,240 Speaker 1: do you do you like, bro, you look like a 518 00:29:01,360 --> 00:29:05,160 Speaker 1: fucking sellout. Yeah, he looks crazy. It's also like impossible 519 00:29:05,240 --> 00:29:08,200 Speaker 1: to change what's going on in a in an institution 520 00:29:08,280 --> 00:29:11,280 Speaker 1: that's been existing for so long. Yeah, by handshaking with 521 00:29:11,360 --> 00:29:14,600 Speaker 1: other billionaire plantation owners who are like, yeah, man, yeah, 522 00:29:14,640 --> 00:29:17,720 Speaker 1: we'll figure this out. It's tough. It's tough. Yeah. And 523 00:29:18,400 --> 00:29:20,720 Speaker 1: even with the whole jay Z thing, I'm part of 524 00:29:20,800 --> 00:29:24,120 Speaker 1: me thinks like there could be the element that there 525 00:29:24,280 --> 00:29:26,080 Speaker 1: is some kind of idea that he wouldn't just so 526 00:29:26,240 --> 00:29:29,080 Speaker 1: foolishly engaged with the NFL like that. And then part 527 00:29:29,120 --> 00:29:31,160 Speaker 1: of me, we said this when the story first came out, 528 00:29:31,200 --> 00:29:33,280 Speaker 1: We're like, part of me just knows he's a fucking 529 00:29:33,360 --> 00:29:36,000 Speaker 1: hustle dude. He's about that check might really be like, no, 530 00:29:36,160 --> 00:29:40,160 Speaker 1: fuck cap, that's a fucking deal. I just signed. Yeah, 531 00:29:40,360 --> 00:29:42,680 Speaker 1: he's a he's a long term guy. I think about 532 00:29:42,680 --> 00:29:45,440 Speaker 1: how long he waited for Beyonce, his virginity. He waited 533 00:29:45,440 --> 00:29:51,040 Speaker 1: a long time and she a virgin. No really, maybe 534 00:29:51,840 --> 00:29:54,240 Speaker 1: she only had one other boyfriend before him and she 535 00:29:54,440 --> 00:29:56,600 Speaker 1: said she was saving it. Yeah, but Beyonce I would 536 00:29:56,600 --> 00:30:00,400 Speaker 1: have that power. She's like, I'm a virgin virgin. So 537 00:30:00,560 --> 00:30:12,200 Speaker 1: much for waiting. I'm I can't believe is here after 538 00:30:12,320 --> 00:30:20,000 Speaker 1: her birthday? Daily? How you saying daily? M? I don't 539 00:30:20,040 --> 00:30:24,720 Speaker 1: know how speaking isn't working out for you? Good hungry? 540 00:30:26,680 --> 00:30:31,080 Speaker 1: I could mean my birthday cake? Um? Yeah, jay Z 541 00:30:31,280 --> 00:30:34,240 Speaker 1: is crazy but he But but to your point, I 542 00:30:34,320 --> 00:30:37,400 Speaker 1: do think he is someone who could easily be playing 543 00:30:37,440 --> 00:30:41,480 Speaker 1: the long game and uh having like having the center 544 00:30:41,640 --> 00:30:46,040 Speaker 1: be money, like right, I mean, what is it compassionate capitalism? 545 00:30:46,080 --> 00:30:48,360 Speaker 1: Which is not a real thing. But I think that's 546 00:30:48,440 --> 00:30:51,080 Speaker 1: kind of where what he's justified for himself. You don't 547 00:30:51,120 --> 00:30:54,840 Speaker 1: become a billionaire by accident. Become a billionaire by being 548 00:30:55,200 --> 00:30:59,080 Speaker 1: a ruthless animal. Ruthless yeah, predator. As he said, you 549 00:30:59,160 --> 00:31:01,880 Speaker 1: didn't start out your trunk to reach the roof, just 550 00:31:02,040 --> 00:31:05,120 Speaker 1: to put the roof in your trunk. Right, that's poetic, 551 00:31:05,240 --> 00:31:07,600 Speaker 1: you know what I mean, that's poetics. That's thank you. 552 00:31:08,680 --> 00:31:10,920 Speaker 1: And also, as I said, jay Z and the range 553 00:31:11,040 --> 00:31:13,400 Speaker 1: crazy and deranged. So I mean he told us he 554 00:31:13,480 --> 00:31:26,040 Speaker 1: was crazy beginning, so you know, I mean relevant shows, 555 00:31:26,480 --> 00:31:31,479 Speaker 1: so oh so whack. As jay Z said, the streets 556 00:31:31,560 --> 00:31:35,960 Speaker 1: is watching. I have nine nine problems, but a B 557 00:31:36,120 --> 00:31:38,600 Speaker 1: word is not one, like he said, I just said 558 00:31:38,640 --> 00:31:44,440 Speaker 1: it are Uh, let's talk about something that's giving me 559 00:31:44,440 --> 00:31:46,640 Speaker 1: a little bit of hope. Now there are two stories 560 00:31:46,760 --> 00:31:49,520 Speaker 1: that seem to be going in the right direction for 561 00:31:49,640 --> 00:31:53,520 Speaker 1: a change. So the Hong Kong riots are starting to 562 00:31:53,600 --> 00:31:57,040 Speaker 1: get results. And uh, I mean, don't call him, I 563 00:31:57,040 --> 00:31:59,960 Speaker 1: guess riots to shoud call right. Yeah, well that's robed 564 00:32:00,000 --> 00:32:07,560 Speaker 1: democracy demonstrations, demonstrations, Damn, miles, I don't that's actually of 565 00:32:07,720 --> 00:32:12,480 Speaker 1: their demands. Demands is that they stopped being called riots, 566 00:32:12,880 --> 00:32:15,760 Speaker 1: right right. I was just calling them riots because man 567 00:32:16,320 --> 00:32:19,680 Speaker 1: to oppress them. Yeah, I was gonna say, because I 568 00:32:19,800 --> 00:32:23,959 Speaker 1: side with the Chinese. Yeah, the Chinese government always end 569 00:32:24,040 --> 00:32:28,120 Speaker 1: in everything. Yeah. So the Hong Kong government caved on 570 00:32:28,320 --> 00:32:31,760 Speaker 1: one of their demands, formal withdrawal of that extradition bill, 571 00:32:32,360 --> 00:32:35,880 Speaker 1: but the thing that started the demonstrations in the first place. 572 00:32:36,480 --> 00:32:41,440 Speaker 1: But the other four demands are things having to do 573 00:32:41,560 --> 00:32:45,160 Speaker 1: with how just horribly they handled the demonstrations. I was 574 00:32:45,280 --> 00:32:48,800 Speaker 1: reading this article about like how they were stopped using 575 00:32:48,880 --> 00:32:51,440 Speaker 1: like WhatsApp and these other things that the that use 576 00:32:51,520 --> 00:32:54,040 Speaker 1: the Internet and more to like these mesh networks that 577 00:32:54,160 --> 00:32:57,200 Speaker 1: use Bluetooth, so you're not using the Internet at all, 578 00:32:57,720 --> 00:32:59,719 Speaker 1: that's to be able to fucking just outs. I mean 579 00:32:59,800 --> 00:33:02,120 Speaker 1: it's shows you like with technology and people, when there's 580 00:33:02,120 --> 00:33:05,560 Speaker 1: a will, there's a way. Was that because the authorities 581 00:33:05,600 --> 00:33:08,760 Speaker 1: were kind of internet control the Internet. They're like that, bro, 582 00:33:08,840 --> 00:33:11,560 Speaker 1: everybody tossed your bluetooth on and what it would do 583 00:33:11,720 --> 00:33:13,400 Speaker 1: is like, if you're near the person, it works very 584 00:33:13,480 --> 00:33:15,880 Speaker 1: quickly because it's just connecting that way. But if everyone 585 00:33:16,040 --> 00:33:18,560 Speaker 1: is using it, it's just it's sort of daisy chains 586 00:33:18,560 --> 00:33:21,240 Speaker 1: everybody's network, so like eventually it'll hop from phone to 587 00:33:21,280 --> 00:33:23,400 Speaker 1: phone until it gets to the person you're trying to message. 588 00:33:23,920 --> 00:33:26,480 Speaker 1: And then you could also do just broadcasts like from 589 00:33:26,560 --> 00:33:29,440 Speaker 1: your bluetooth that's not to anyone, but just general announcements, 590 00:33:30,400 --> 00:33:33,360 Speaker 1: you know. Technology. I love I love that people in 591 00:33:33,480 --> 00:33:36,560 Speaker 1: Hong Kong have like proved how lazy Americans are, Like 592 00:33:36,720 --> 00:33:42,440 Speaker 1: we're worthless. Yeah, there's just no organizing. No. Well it's 593 00:33:42,440 --> 00:33:46,320 Speaker 1: because you know, like again, our taste for oppression. We 594 00:33:46,480 --> 00:33:48,720 Speaker 1: love it in a way like there isn't enough. I 595 00:33:48,760 --> 00:33:50,719 Speaker 1: don't know what would have to happen where you get 596 00:33:50,800 --> 00:33:52,720 Speaker 1: that kind of response. In Hong Kong, they're not used 597 00:33:52,760 --> 00:33:55,280 Speaker 1: to that ship. So when they see police like clubbing people, 598 00:33:55,320 --> 00:33:58,200 Speaker 1: they're like, what the fuck? Sure here, We're like, just 599 00:33:58,280 --> 00:33:59,760 Speaker 1: like I was saying to you, We're like, you know 600 00:33:59,840 --> 00:34:01,360 Speaker 1: what happens when the police come out. We just sort 601 00:34:01,360 --> 00:34:03,920 Speaker 1: of as a matter of fact, though, Yeah, people get hit, right, 602 00:34:04,000 --> 00:34:06,840 Speaker 1: people get hit needlessly, People get attacked needlessly, and so 603 00:34:07,000 --> 00:34:09,520 Speaker 1: that's just sort of like accepted, and I think the 604 00:34:09,719 --> 00:34:12,400 Speaker 1: taste that we have, you know, it takes a lot 605 00:34:12,440 --> 00:34:15,560 Speaker 1: to get people outraged, especially when you see that nearly 606 00:34:15,600 --> 00:34:18,000 Speaker 1: a quarter of the population of Hong Kong was coming out. 607 00:34:18,280 --> 00:34:20,560 Speaker 1: If that's true, if nearly one point seven million people 608 00:34:20,600 --> 00:34:23,719 Speaker 1: did come out, y'all, what the funk? I mean? I 609 00:34:23,760 --> 00:34:26,439 Speaker 1: don't know what is it. I really think it's would 610 00:34:26,480 --> 00:34:30,880 Speaker 1: be something like fucking the Internet went down or some 611 00:34:31,000 --> 00:34:33,640 Speaker 1: ship and they're like, y'all get no more Internet. That's 612 00:34:33,680 --> 00:34:35,600 Speaker 1: gotta be it, because when my internet doesn't work in 613 00:34:35,640 --> 00:34:40,480 Speaker 1: my apartment, I fucking lose my mind. Just like I'm 614 00:34:40,520 --> 00:34:43,600 Speaker 1: out of here and not reading this book. I'm not 615 00:34:43,680 --> 00:34:45,759 Speaker 1: reading the stack of New Yorkers that keeps piling up. 616 00:34:46,239 --> 00:34:50,440 Speaker 1: So Boris Johnson in the UK tried to do some 617 00:34:50,680 --> 00:34:55,400 Speaker 1: like strong arm ship and uh basically shut down Parliament 618 00:34:56,200 --> 00:34:59,640 Speaker 1: and he got the Queen's approval, which I didn't realize 619 00:34:59,680 --> 00:35:04,239 Speaker 1: there was an official process that involved him going to 620 00:35:04,320 --> 00:35:07,560 Speaker 1: get the queen sign off. Not cool on her part, 621 00:35:07,840 --> 00:35:10,880 Speaker 1: I would say she was just like, yeah, sure, whatever 622 00:35:13,640 --> 00:35:16,560 Speaker 1: UK is, I gang put me onto everything that's happening here. 623 00:35:16,680 --> 00:35:20,560 Speaker 1: I mean fun. I intellectually understand about an odal Brexit, 624 00:35:20,680 --> 00:35:22,560 Speaker 1: but there is so much going on just in the 625 00:35:22,640 --> 00:35:24,640 Speaker 1: last couple of days with Boris Johns to take an 626 00:35:24,680 --> 00:35:28,120 Speaker 1: all on his first vote and then suspending parliament. But 627 00:35:28,200 --> 00:35:29,520 Speaker 1: then I see a lot of people being like, no, 628 00:35:29,680 --> 00:35:31,600 Speaker 1: this is just the beginning. Man, there's a way to 629 00:35:31,840 --> 00:35:33,879 Speaker 1: to muck this up and have it be a full 630 00:35:33,960 --> 00:35:37,439 Speaker 1: on catastrophic no deal brexit. Right. So, I mean that's 631 00:35:37,480 --> 00:35:40,279 Speaker 1: what he came in and basically tried to strong arm 632 00:35:40,400 --> 00:35:44,480 Speaker 1: him with a with a super razor thin majority. He 633 00:35:44,560 --> 00:35:48,680 Speaker 1: had one person and that one person, uh defected, and 634 00:35:48,760 --> 00:35:51,080 Speaker 1: now he doesn't have a majority anymore, so now he 635 00:35:51,560 --> 00:35:54,480 Speaker 1: can't really do it. Shout out to traders everywhere, any 636 00:35:54,520 --> 00:35:56,240 Speaker 1: more of them if you want to be a trader 637 00:35:56,320 --> 00:36:00,920 Speaker 1: to your party or your class, please Oh right, weird 638 00:36:01,120 --> 00:36:05,920 Speaker 1: side note on the Hong Kong demonstrations, they're apparently using 639 00:36:06,040 --> 00:36:13,719 Speaker 1: Pepe the frog, the symbol of white supremacists, and you know, yeah, 640 00:36:14,640 --> 00:36:20,160 Speaker 1: they're using that to symbolize young protesters basically, Um, and 641 00:36:20,520 --> 00:36:24,280 Speaker 1: there's no real explanation of how it took that journey. 642 00:36:24,560 --> 00:36:28,960 Speaker 1: Just like you know, I've said that the least reliable 643 00:36:29,000 --> 00:36:32,320 Speaker 1: information you find anywhere is like word origins, because like 644 00:36:32,440 --> 00:36:35,640 Speaker 1: words just take on new meaning. There's like no documentation, 645 00:36:35,719 --> 00:36:38,360 Speaker 1: there's no way to document like how words change meanings. 646 00:36:38,480 --> 00:36:43,239 Speaker 1: But um, this is another situation like that where our 647 00:36:43,320 --> 00:36:47,799 Speaker 1: writer Jam McNabb tried to figure out where this came 648 00:36:47,920 --> 00:36:51,160 Speaker 1: from and like what the intent was, and there's no 649 00:36:51,760 --> 00:36:55,080 Speaker 1: there's no clear explanation. But it doesn't seem like there's 650 00:36:55,880 --> 00:36:59,600 Speaker 1: any sympathies on the on the behalf of the young 651 00:36:59,680 --> 00:37:03,840 Speaker 1: demon stradersh with like the American Right. I know it 652 00:37:03,960 --> 00:37:06,040 Speaker 1: for like there was a moment where they saw American 653 00:37:06,120 --> 00:37:08,600 Speaker 1: flags and pepe A memes, people like are they all right? 654 00:37:09,040 --> 00:37:10,480 Speaker 1: But I know at the time a lot of it 655 00:37:10,680 --> 00:37:12,759 Speaker 1: was like meant to be some kind of like outcry 656 00:37:12,880 --> 00:37:15,440 Speaker 1: to the US and maybe like be like hey, over 657 00:37:15,520 --> 00:37:18,120 Speaker 1: fucking here, y'all. But yeah, I don't know. I mean, look, 658 00:37:18,400 --> 00:37:21,719 Speaker 1: Pepe is just chill, you know, just brings in the youth, 659 00:37:24,120 --> 00:37:28,360 Speaker 1: fucking weird ass frog. It's just also just a hilarious image. 660 00:37:28,800 --> 00:37:30,880 Speaker 1: But it just sort of just seems it seems to 661 00:37:30,920 --> 00:37:34,000 Speaker 1: be what they're saying is that. I mean, to begin with, 662 00:37:34,200 --> 00:37:37,880 Speaker 1: Pepe was created as a funny looking stone or frog, 663 00:37:38,000 --> 00:37:42,040 Speaker 1: and then the Right appropriated him. So I mean, this 664 00:37:42,239 --> 00:37:46,279 Speaker 1: is just people taking it back to its origins as 665 00:37:46,400 --> 00:37:50,279 Speaker 1: like of a drawing of a drawing. Yeah, I think 666 00:37:50,360 --> 00:37:52,520 Speaker 1: if there's one thing We do know though about Hong 667 00:37:52,600 --> 00:37:57,040 Speaker 1: Kong protesters is that they're very concerned with just the 668 00:37:57,120 --> 00:38:02,680 Speaker 1: preservation of Western civilization and white European culture. So this 669 00:38:02,760 --> 00:38:06,239 Speaker 1: sort of tracks with me. Yeah, yeah, all right, we're 670 00:38:06,239 --> 00:38:18,400 Speaker 1: gonna take another quick break. We'll be right back, and 671 00:38:18,600 --> 00:38:24,520 Speaker 1: we're back. And Apple has scrapped a show that they 672 00:38:24,560 --> 00:38:29,080 Speaker 1: were developing, yeah, with Richard Gear, which if you just 673 00:38:29,200 --> 00:38:32,560 Speaker 1: read the description, you would not understand why they ordered 674 00:38:32,680 --> 00:38:35,879 Speaker 1: this straight to serious. Now, if you and if y'all 675 00:38:35,880 --> 00:38:38,239 Speaker 1: don't know about the business, okay, you might pitch something. 676 00:38:38,280 --> 00:38:39,960 Speaker 1: They might say, hey, we want to we'll order a 677 00:38:40,040 --> 00:38:42,279 Speaker 1: pilot or order a script or whatever. When you order 678 00:38:42,360 --> 00:38:44,360 Speaker 1: something straight to series, you're just saying, based off this 679 00:38:44,440 --> 00:38:46,399 Speaker 1: what you're telling me right now, I want the show 680 00:38:46,760 --> 00:38:50,640 Speaker 1: fully it's paid for. It feels like all they saw 681 00:38:50,800 --> 00:38:54,799 Speaker 1: was Richard Gear and then they were like, oh, yeah, yeah, whatever, 682 00:38:54,840 --> 00:38:56,360 Speaker 1: and then and then somebod you read it afterwards it 683 00:38:56,440 --> 00:39:01,640 Speaker 1: was like, wait, so this series is called Bastards. It's 684 00:39:01,640 --> 00:39:05,000 Speaker 1: based on a popular Israeli series, but this one, specifically, 685 00:39:05,000 --> 00:39:08,279 Speaker 1: the adaptation for the US, was gonna star Richard Gear 686 00:39:08,400 --> 00:39:10,720 Speaker 1: as one. This is a description from the Hollywood Reporter 687 00:39:11,040 --> 00:39:14,239 Speaker 1: as one of two elderly Vietnam veterans and best friends 688 00:39:14,280 --> 00:39:16,919 Speaker 1: who find their monotonous lives up ended when a woman 689 00:39:17,000 --> 00:39:20,080 Speaker 1: they both loved fifty years ago is killed by a car. 690 00:39:20,600 --> 00:39:24,480 Speaker 1: Their lifelong regrets in secrets collide with their resentment of 691 00:39:24,640 --> 00:39:29,160 Speaker 1: today's self absorbed millennials, and the duo then go on 692 00:39:29,239 --> 00:39:39,279 Speaker 1: a shooting spree, classic American teles. I mean tapping into something. Yeah, well, 693 00:39:39,280 --> 00:39:41,080 Speaker 1: I think it's just sort of literally like this the 694 00:39:41,280 --> 00:39:46,680 Speaker 1: waning virility and power of white men the show. Yes, 695 00:39:47,200 --> 00:39:51,080 Speaker 1: but it's like that entire generation right based off of that. 696 00:39:51,120 --> 00:39:53,080 Speaker 1: You're like, yeah, yeah, we like this shooting spree against 697 00:39:53,120 --> 00:39:56,279 Speaker 1: young adults, young people in the country. Great, great, great, um, 698 00:39:56,400 --> 00:39:58,680 Speaker 1: But they knew what it was when they signed up. 699 00:39:59,160 --> 00:40:01,400 Speaker 1: But then they started developing the show, and there was 700 00:40:01,440 --> 00:40:03,360 Speaker 1: like a real budding of heads when Apple was like, 701 00:40:03,640 --> 00:40:05,920 Speaker 1: we want to like focus on the bond of these 702 00:40:05,960 --> 00:40:08,600 Speaker 1: two like non vets rather than like the dark shit, 703 00:40:09,120 --> 00:40:12,160 Speaker 1: and like the showrunner and like writers and producers like not, no, not, 704 00:40:12,400 --> 00:40:14,640 Speaker 1: it's got to be about the dark d Not. No, 705 00:40:14,800 --> 00:40:16,880 Speaker 1: I didn't like that, ain't it dude? It's about shooting 706 00:40:16,920 --> 00:40:25,080 Speaker 1: these avocado j Yeah. Our fifteen and then so the 707 00:40:25,840 --> 00:40:27,359 Speaker 1: like they had to pull the plug. I wout pull 708 00:40:27,440 --> 00:40:30,920 Speaker 1: the plug and paid a hefty kill feed for stopping 709 00:40:30,960 --> 00:40:34,759 Speaker 1: the show. But I just it's just odd when the 710 00:40:34,800 --> 00:40:37,040 Speaker 1: description tells you everything you need to know, you still 711 00:40:37,120 --> 00:40:38,839 Speaker 1: do it. And I think it kind of underlines all 712 00:40:38,880 --> 00:40:41,400 Speaker 1: the problems Apple has been having with this TV with 713 00:40:41,480 --> 00:40:43,879 Speaker 1: their programming, because this isn't the first show that's had 714 00:40:44,000 --> 00:40:46,840 Speaker 1: issues with their showrunners or the content. It's so funny. 715 00:40:46,880 --> 00:40:49,759 Speaker 1: It's like something like they were like, is this a newspaper? 716 00:40:49,960 --> 00:40:54,160 Speaker 1: Like what such a ridiculous story? Right? Yeah? And I 717 00:40:54,239 --> 00:40:56,440 Speaker 1: think when you but again I think with Apple, right, 718 00:40:56,640 --> 00:40:59,560 Speaker 1: they make hardware, so hardware doesn't have to have a 719 00:40:59,600 --> 00:41:03,160 Speaker 1: political stance. Hardcore where exactly now they're like, we do 720 00:41:03,320 --> 00:41:06,680 Speaker 1: fucking content content, And that's where they're getting. I think 721 00:41:06,719 --> 00:41:08,920 Speaker 1: that's where they're realizing, like, oh, where do we want 722 00:41:08,960 --> 00:41:10,959 Speaker 1: to like are we really going to put a foot 723 00:41:11,000 --> 00:41:12,960 Speaker 1: down on some things by saying this is the content 724 00:41:13,080 --> 00:41:15,000 Speaker 1: we make or stand behind. It's easier when you just 725 00:41:15,080 --> 00:41:19,560 Speaker 1: make a phones and watches, that's fine, you Yeah, ex 726 00:41:20,000 --> 00:41:26,239 Speaker 1: workers stories exploit workers, not I p they And I 727 00:41:26,320 --> 00:41:31,200 Speaker 1: mean wasn't Apple supposedly like really controlling when it when 728 00:41:31,239 --> 00:41:33,319 Speaker 1: it came to developing show. Yeah, there was what was there? 729 00:41:33,400 --> 00:41:35,400 Speaker 1: There was one story about a comedy show that like 730 00:41:35,560 --> 00:41:38,120 Speaker 1: they basically took all the humor out of there were 731 00:41:38,200 --> 00:41:40,960 Speaker 1: like there's too many jokes. Are too many jokes. It's 732 00:41:41,000 --> 00:41:44,160 Speaker 1: like really edgy, kind of edgy for us. That character's 733 00:41:44,719 --> 00:41:49,479 Speaker 1: person of color. Oh and is that okay? So there's 734 00:41:49,520 --> 00:41:53,560 Speaker 1: also a Kevin Sorbo movie that just released its first trailer. 735 00:41:53,640 --> 00:41:58,880 Speaker 1: It's called The Reliant. It is basically Red Dawn with Antifa. 736 00:41:59,600 --> 00:42:05,040 Speaker 1: Uh and the premise is the Left comes for your guns, 737 00:42:05,520 --> 00:42:07,719 Speaker 1: and the way they come for your guns is by 738 00:42:08,120 --> 00:42:12,880 Speaker 1: shooting you and your family. Uh So what do the 739 00:42:13,040 --> 00:42:21,160 Speaker 1: trailer on bird scooters? Who comes to calvaries The Reliant 740 00:42:21,360 --> 00:42:25,239 Speaker 1: protect family and faith? How is Kevin Sorbo still out 741 00:42:25,320 --> 00:42:29,840 Speaker 1: here because he's the only person. It's an interesting question 742 00:42:30,120 --> 00:42:33,759 Speaker 1: because let's go back to well, but this seems to 743 00:42:33,800 --> 00:42:36,239 Speaker 1: be something that's taking place right now where the right 744 00:42:36,480 --> 00:42:42,400 Speaker 1: is just scrambling for either anybody who has a shred 745 00:42:42,680 --> 00:42:46,759 Speaker 1: of relevance in you know, more mainstream culture that is 746 00:42:46,880 --> 00:42:53,080 Speaker 1: created in towns where they're you know, viewpoints aren't accepted, 747 00:42:53,280 --> 00:42:56,920 Speaker 1: where the libs are just saying yeah, yeah, or so 748 00:42:57,040 --> 00:43:00,839 Speaker 1: it's either a shred of something somebody say being used 749 00:43:00,880 --> 00:43:03,839 Speaker 1: to be, like well, Dave Chappelle is our new hero 750 00:43:04,280 --> 00:43:09,440 Speaker 1: and overlord, or it's you know, somebody who has a 751 00:43:09,520 --> 00:43:13,440 Speaker 1: shred of credibility, like Kevin Sorbo. It's what credibility does 752 00:43:13,480 --> 00:43:19,840 Speaker 1: he have? He was Hercules, I mean, the dude was Hercules, 753 00:43:20,280 --> 00:43:23,719 Speaker 1: remember that zena crossover episode. But he's been he's been 754 00:43:23,760 --> 00:43:27,480 Speaker 1: doing faith based movies. I think for okay, Kevin Protect 755 00:43:27,560 --> 00:43:30,680 Speaker 1: Family and faith bro. I mean, I guess Scarlett Johanson 756 00:43:30,719 --> 00:43:34,040 Speaker 1: could be next. That's what I'm wondering. Because she slowly 757 00:43:34,120 --> 00:43:36,200 Speaker 1: thinks it's going to be She's like, hey, I mean 758 00:43:36,400 --> 00:43:39,759 Speaker 1: she's really courtinate. Well actually no, she did say she 759 00:43:40,000 --> 00:43:43,520 Speaker 1: likes Elizabeth Warren, right, but doesn't mean anything that's true. 760 00:43:43,600 --> 00:43:46,440 Speaker 1: But then it's like that's like classic white feminism, right 761 00:43:46,600 --> 00:43:49,080 Speaker 1: right right yeah, And then it's like, but I will 762 00:43:49,160 --> 00:43:53,400 Speaker 1: take a person of colors role because that I'm worried 763 00:43:53,480 --> 00:43:56,399 Speaker 1: because I'm a tree. So she's trying to take my roles. 764 00:43:59,600 --> 00:44:04,879 Speaker 1: But what is she? What was her latest? Who? She said? 765 00:44:05,000 --> 00:44:08,960 Speaker 1: I I asked him directly and he gave me direct answers, 766 00:44:09,280 --> 00:44:14,920 Speaker 1: and I believe him. Um so, oh my god, when 767 00:44:15,080 --> 00:44:20,160 Speaker 1: it was beautiful women are really useless, truly useless. Was 768 00:44:20,239 --> 00:44:23,680 Speaker 1: it specifically about all the allegations of like abuse of 769 00:44:23,800 --> 00:44:25,320 Speaker 1: child abuse? Because I was going to say, like it 770 00:44:25,360 --> 00:44:27,040 Speaker 1: could be one of those things, like I asked him 771 00:44:27,440 --> 00:44:29,520 Speaker 1: what the special was today at this restaurant and he 772 00:44:29,680 --> 00:44:31,600 Speaker 1: was right, and I believed him. But it's straight up 773 00:44:31,920 --> 00:44:33,960 Speaker 1: did she you think she really asked those questions? I 774 00:44:34,080 --> 00:44:36,320 Speaker 1: like the idea of him admitting to her that he 775 00:44:36,440 --> 00:44:38,320 Speaker 1: molested kids, and she's like, I believed him, and I 776 00:44:38,400 --> 00:44:41,279 Speaker 1: still want to work with Like, yeah, oh no, I 777 00:44:41,400 --> 00:44:44,720 Speaker 1: believe he admitted it. I believe that he did. Believe 778 00:44:44,800 --> 00:44:46,239 Speaker 1: him because he admitted to me that he did it. 779 00:44:46,280 --> 00:44:47,800 Speaker 1: But I'm cool with it. But you know, you just 780 00:44:47,840 --> 00:44:49,520 Speaker 1: have these things on your bucket list you're trying to do. 781 00:44:49,800 --> 00:44:52,480 Speaker 1: So is she already in a Woody Allen film? Probably? 782 00:44:52,840 --> 00:44:56,440 Speaker 1: I mean, oh yeah, she's in Matchpoint. Oh yes. There 783 00:44:56,600 --> 00:45:00,400 Speaker 1: was one movie, I think Scoop or something where she 784 00:45:00,520 --> 00:45:03,600 Speaker 1: played she was the Woody Allen like you know how 785 00:45:03,680 --> 00:45:06,520 Speaker 1: every Woody Allen movie has either Woody Allen or a 786 00:45:06,640 --> 00:45:10,959 Speaker 1: Woody Alan corollary. Uh, she was the Woody Allen corall 787 00:45:10,960 --> 00:45:15,640 Speaker 1: Ay and one of them didn't work that way. Iconic. Yes, Um, 788 00:45:16,120 --> 00:45:23,960 Speaker 1: let's talk about conversion therapy guys. They much better now, 789 00:45:24,080 --> 00:45:28,520 Speaker 1: the urges are gone gone. Having a rough week. So 790 00:45:29,719 --> 00:45:34,920 Speaker 1: the founder of one of the most prolific conversion therapy 791 00:45:35,239 --> 00:45:41,319 Speaker 1: camps has recently made an announcement. Uh and he has 792 00:45:41,360 --> 00:45:46,040 Speaker 1: come out as gay and also said that conversion therapy 793 00:45:46,840 --> 00:45:51,600 Speaker 1: is bullshit. Essentially, it's a horrible thing to do to 794 00:45:51,719 --> 00:45:55,200 Speaker 1: somebody and it doesn't work. I think we have a 795 00:45:55,360 --> 00:45:58,040 Speaker 1: quote from him. I told my wife, I'm like, you know, 796 00:45:58,600 --> 00:46:02,440 Speaker 1: my attractions are worse than they ever were. I struggled 797 00:46:03,520 --> 00:46:09,560 Speaker 1: more so trying to deny them then being able to 798 00:46:09,760 --> 00:46:15,320 Speaker 1: accept my attractions and just say, you know, I'm a 799 00:46:15,400 --> 00:46:19,920 Speaker 1: gay man. That's just that's just being honest. Here you go, Um, 800 00:46:21,239 --> 00:46:23,480 Speaker 1: that must be I mean, this might seem like the 801 00:46:23,560 --> 00:46:27,160 Speaker 1: most hilariously obvious turn of events possible, but then you 802 00:46:27,800 --> 00:46:30,040 Speaker 1: get to the part of the story where they point 803 00:46:30,080 --> 00:46:34,920 Speaker 1: out that almost seven hundred thousand LGBT identifying adults have 804 00:46:35,080 --> 00:46:37,960 Speaker 1: gone through some form of conversion therapy as of two 805 00:46:38,000 --> 00:46:42,680 Speaker 1: thousand eighteen. So, um, you know these ideas that seem 806 00:46:42,800 --> 00:46:47,600 Speaker 1: like they're hilarious and really are not are hurting people? 807 00:46:47,640 --> 00:46:51,080 Speaker 1: How does the therapy work exactly? I think do they 808 00:46:51,480 --> 00:46:53,839 Speaker 1: just be like those thoughts are bad, those thoughts are bad. 809 00:46:53,960 --> 00:46:56,839 Speaker 1: Here's here are the strategies to when you have an 810 00:46:57,000 --> 00:47:00,480 Speaker 1: urge or an attraction to pivot off of that and 811 00:47:00,640 --> 00:47:04,160 Speaker 1: think of a woman's vagina, right, Yeah, I think it's 812 00:47:04,239 --> 00:47:07,239 Speaker 1: just like trying to stop it at the like very 813 00:47:07,760 --> 00:47:11,280 Speaker 1: outside of it, it sounds like. And then it sounds 814 00:47:11,360 --> 00:47:15,320 Speaker 1: like it's like completely denying. I think. I think, you know, 815 00:47:15,840 --> 00:47:20,200 Speaker 1: in addition to just being completely backwards, it sounds like 816 00:47:20,400 --> 00:47:25,400 Speaker 1: they're idea is they don't take the idea that people 817 00:47:25,960 --> 00:47:29,200 Speaker 1: aren't straight seriously right, that it's like, come on, get 818 00:47:29,239 --> 00:47:33,759 Speaker 1: it together, right, They're just like like that's gay. They 819 00:47:33,840 --> 00:47:35,719 Speaker 1: just treat it like it's well, I'm sure what they 820 00:47:35,760 --> 00:47:37,680 Speaker 1: do is treat it especially because it's all, you know, 821 00:47:37,800 --> 00:47:40,320 Speaker 1: religiously aligned. It's like, oh no, that's an evil force 822 00:47:40,560 --> 00:47:44,400 Speaker 1: that's within you. It sounds like it's like it sounds 823 00:47:44,440 --> 00:47:49,080 Speaker 1: like it's psychology as conceived by a like football coach. 824 00:47:49,560 --> 00:47:54,440 Speaker 1: It's like you just practice wanting. Yeah, you know what 825 00:47:54,480 --> 00:47:56,240 Speaker 1: I used to do. I used to open up a playboy, 826 00:47:56,400 --> 00:47:58,160 Speaker 1: put that on the ground and do push ups and 827 00:47:58,320 --> 00:48:00,800 Speaker 1: kiss it. Every time I went down right for you 828 00:48:00,880 --> 00:48:05,560 Speaker 1: those every time I thought of something not straight right, Well, 829 00:48:06,280 --> 00:48:08,840 Speaker 1: I mean it's one of those things too. That sucks 830 00:48:08,920 --> 00:48:13,160 Speaker 1: because for the LGBTQ community, not just for the obvious reasons, 831 00:48:13,200 --> 00:48:16,000 Speaker 1: but like, it's so shitty how often people who are 832 00:48:16,080 --> 00:48:20,520 Speaker 1: so closeted create so much harm within their own community 833 00:48:20,600 --> 00:48:24,040 Speaker 1: because there's there's so much denial and hatred self hatred 834 00:48:24,080 --> 00:48:28,839 Speaker 1: about it, and it's just perpetuates this this shitty stereotype 835 00:48:28,880 --> 00:48:31,479 Speaker 1: that if someone hates gay people that they are also gay, 836 00:48:32,040 --> 00:48:35,000 Speaker 1: because like that's unfair to the gay community to like 837 00:48:35,600 --> 00:48:41,040 Speaker 1: own all these yeah, exactly. It's like it's so terrible that, like, 838 00:48:41,160 --> 00:48:45,120 Speaker 1: oh that that these people who hate themselves so much 839 00:48:45,360 --> 00:48:49,160 Speaker 1: are are hating others because they too are gay. It's like, 840 00:48:49,360 --> 00:48:51,560 Speaker 1: I mean, because there are some people who hate gay 841 00:48:51,600 --> 00:48:54,000 Speaker 1: people because they're I mean, because they're so straight and 842 00:48:54,080 --> 00:48:58,920 Speaker 1: so fucking stupid and religious or whatever, and um, it 843 00:48:59,040 --> 00:49:01,600 Speaker 1: just complicates it further, which is what's to me, what's 844 00:49:01,600 --> 00:49:03,320 Speaker 1: shitty about it for the gay community, because they're like, 845 00:49:03,360 --> 00:49:06,839 Speaker 1: we don't want you, homie, I want you a part 846 00:49:06,880 --> 00:49:08,640 Speaker 1: of our group. Now, yeah, I mean it's kind of 847 00:49:08,680 --> 00:49:10,759 Speaker 1: like the thing we were talking about with Columbine. It's 848 00:49:11,320 --> 00:49:13,239 Speaker 1: we're trying to make it more complex than it is. 849 00:49:13,360 --> 00:49:17,480 Speaker 1: Mike Pence is just an asshole. He's not like, there's 850 00:49:17,520 --> 00:49:22,560 Speaker 1: not psychological thing. Oh man hates Mulan. Never forget that part. 851 00:49:22,719 --> 00:49:26,719 Speaker 1: Never forget that. Mike Pence wrote, uh, like when he 852 00:49:26,960 --> 00:49:31,759 Speaker 1: was or whatever, he was like a shock jock, like 853 00:49:32,120 --> 00:49:34,800 Speaker 1: a right wing radio host. That's kind of how he 854 00:49:34,960 --> 00:49:37,640 Speaker 1: launched his career or relaunched it after he was a 855 00:49:37,719 --> 00:49:42,920 Speaker 1: failed politician. One of his biggest, hottest, and most strongly felt, 856 00:49:42,960 --> 00:49:48,680 Speaker 1: apparently takes was that Mulan was not okay because the 857 00:49:49,080 --> 00:49:52,160 Speaker 1: young lady in the picture was dressing as a man. 858 00:49:52,719 --> 00:49:59,960 Speaker 1: And then yeah, uh so I love all the hilarious 859 00:50:00,080 --> 00:50:05,879 Speaker 1: topics you guys picked today, enjoying myself. Should we talk 860 00:50:05,880 --> 00:50:10,279 Speaker 1: about Starbucks? Oh yes, we'll get that far down and 861 00:50:10,320 --> 00:50:12,640 Speaker 1: then no, no, you want this one. This will lighten 862 00:50:12,719 --> 00:50:16,080 Speaker 1: your mood. After that, I'll tell you good. Let me know. 863 00:50:16,640 --> 00:50:19,080 Speaker 1: Do you go to Starbucks? First question? Okay, do you 864 00:50:19,239 --> 00:50:21,960 Speaker 1: have an order that you regularly have? What do you 865 00:50:22,080 --> 00:50:26,080 Speaker 1: just like black coffee? Coffee? Have you ever used the 866 00:50:26,160 --> 00:50:29,320 Speaker 1: app to order? Absolutely not. Okay, Well, if you anyone 867 00:50:29,320 --> 00:50:31,279 Speaker 1: who's opened the app and just tried to order something 868 00:50:31,320 --> 00:50:34,520 Speaker 1: as simple as black coffee, you will see the customization menu. 869 00:50:35,480 --> 00:50:39,160 Speaker 1: Fucking bananas there. The amount of ship you can just 870 00:50:39,280 --> 00:50:42,120 Speaker 1: do it a fucking couple of water is just absurd, 871 00:50:42,440 --> 00:50:44,720 Speaker 1: And apparently this has been causing a lot of problems 872 00:50:44,760 --> 00:50:47,520 Speaker 1: for Barissa's because people don't know how to act with 873 00:50:47,640 --> 00:50:51,240 Speaker 1: this these customizations. So you can add like you know, syrups, 874 00:50:51,400 --> 00:50:56,080 Speaker 1: pumps and flavor syrup, fucking fruit, mashed fruit or whatever, 875 00:50:56,239 --> 00:50:59,480 Speaker 1: fucking powders, milks, fucking the amount of ice all this 876 00:50:59,520 --> 00:51:02,520 Speaker 1: ship is in there. Well, now they're saying, look, we 877 00:51:02,600 --> 00:51:04,919 Speaker 1: gotta fucking pull we gotta pull this ship back because 878 00:51:05,000 --> 00:51:07,239 Speaker 1: y'all are going to ham on these modifiers. And now 879 00:51:07,640 --> 00:51:11,600 Speaker 1: they have to limit modify this spice season exactly. I 880 00:51:11,640 --> 00:51:14,719 Speaker 1: think it might have been pumpkin spice season that occasion. 881 00:51:15,800 --> 00:51:18,520 Speaker 1: The whole deal is, now, this is the thing, gasp, 882 00:51:18,680 --> 00:51:21,480 Speaker 1: they're limiting modifiers. You can only add the same ingredient 883 00:51:21,920 --> 00:51:28,279 Speaker 1: only twelve times. What So before that people were going 884 00:51:28,360 --> 00:51:31,160 Speaker 1: into the twenties, so like you could be like, I 885 00:51:31,280 --> 00:51:33,799 Speaker 1: want this shot. I want this drink plus thirty shots 886 00:51:33,840 --> 00:51:39,440 Speaker 1: of espresso, or I want this yes, exactly. So these 887 00:51:39,440 --> 00:51:42,840 Speaker 1: are some of the drinks people were ordering. A venty 888 00:51:43,400 --> 00:51:47,200 Speaker 1: nine shot one pump mocha non fat, no whip with 889 00:51:47,400 --> 00:51:50,200 Speaker 1: exactly four shakes of cinnamon. That's something you can do 890 00:51:50,400 --> 00:51:52,920 Speaker 1: in the fucking app Okay, here's another one. I mean 891 00:51:53,040 --> 00:51:55,960 Speaker 1: nine shots makes some sense to me. I mean that's 892 00:51:56,000 --> 00:51:59,120 Speaker 1: just added caffeine. That's just extra. Yeah, for sure, I 893 00:51:59,200 --> 00:52:01,440 Speaker 1: get me. Let me, let me get more of you 894 00:52:01,520 --> 00:52:04,600 Speaker 1: guys fighting right now? How about this? A cold brew 895 00:52:05,320 --> 00:52:10,240 Speaker 1: ten pumps, vanilla, five pumps caramel, five pumps, classic syrup, 896 00:52:10,719 --> 00:52:15,560 Speaker 1: five pumps more of caramel, five pumps, white mocha, whole milk, 897 00:52:15,840 --> 00:52:21,640 Speaker 1: coconut milk, heavy cream, almond milk, sweet cream, cinnamon, vanilla powder, 898 00:52:22,000 --> 00:52:27,600 Speaker 1: sweet and low, what sugar, dark chocolate curls, and extra 899 00:52:27,640 --> 00:52:29,560 Speaker 1: whipped cream. See, that's what happens when you not get 900 00:52:29,719 --> 00:52:35,439 Speaker 1: enough pumps in. Yeah, you just you need other ship 901 00:52:35,520 --> 00:52:37,200 Speaker 1: in your life to help you make you feel better. 902 00:52:37,320 --> 00:52:40,439 Speaker 1: But that's ridiculous. That really feels like somebody who's taking 903 00:52:40,440 --> 00:52:42,400 Speaker 1: advantage of the freebees and ship. They're like, you know what, 904 00:52:42,719 --> 00:52:44,520 Speaker 1: I actually put all that ship in there, like, I 905 00:52:44,560 --> 00:52:47,319 Speaker 1: don't care if it's it just sounds like a sad Karen. Yeah, 906 00:52:47,400 --> 00:52:50,440 Speaker 1: and it will melt your teeth. I mean, yeah, the teeth. 907 00:52:50,520 --> 00:52:52,640 Speaker 1: I just worry about people's dental health. I'll worry about 908 00:52:52,960 --> 00:52:55,960 Speaker 1: insulin spikes, diabetic shock just happening straight up in the 909 00:52:56,040 --> 00:52:58,520 Speaker 1: drive through. Another one, that thing that was the most 910 00:52:58,600 --> 00:53:02,480 Speaker 1: absurd to me was called someone just get a Grande 911 00:53:03,000 --> 00:53:07,200 Speaker 1: with twenty pumps vanilla twenty pumps on that. I was 912 00:53:07,400 --> 00:53:11,840 Speaker 1: a little bit Barbara Walters John stop and not not 913 00:53:12,040 --> 00:53:20,400 Speaker 1: something like that old I but yeah, what the fats crazy? 914 00:53:20,520 --> 00:53:23,240 Speaker 1: That's not even a thing that I feel is drinking. 915 00:53:23,840 --> 00:53:26,560 Speaker 1: This is what people do when they don't have a personality, right, 916 00:53:26,800 --> 00:53:30,080 Speaker 1: I have no culture. I think it's no sense. I 917 00:53:30,120 --> 00:53:32,840 Speaker 1: think this is straight up addiction. Like I think sugar, 918 00:53:33,320 --> 00:53:36,520 Speaker 1: like straight up yeah, sugar being like the thing that 919 00:53:36,840 --> 00:53:40,560 Speaker 1: kind of you know, it's like the hitting the lever 920 00:53:41,000 --> 00:53:43,719 Speaker 1: until you get all the all the pellets. But do 921 00:53:43,800 --> 00:53:47,080 Speaker 1: you what do you think sugar withdrawal looks like somebody 922 00:53:47,120 --> 00:53:50,560 Speaker 1: who's sick of off coming off sugar. I mean it's 923 00:53:50,560 --> 00:53:52,560 Speaker 1: a lot of headaches, it's a lot of just like 924 00:53:52,640 --> 00:53:55,480 Speaker 1: not feeling like yourself. Yeah, like no appetite if I 925 00:53:55,560 --> 00:53:59,080 Speaker 1: because I took myself off of like sugar addiction like 926 00:53:59,239 --> 00:54:04,000 Speaker 1: years ago hard because I was just like you gotta understand, 927 00:54:04,080 --> 00:54:07,239 Speaker 1: my metabolism has been fucking great. It looks like I 928 00:54:07,360 --> 00:54:09,080 Speaker 1: was a kid moves at the speed of it. It 929 00:54:09,160 --> 00:54:11,080 Speaker 1: really does. So I could just eat whatever the funk 930 00:54:11,120 --> 00:54:14,040 Speaker 1: I want, and sugar was like top and it still is. 931 00:54:14,160 --> 00:54:16,520 Speaker 1: Like if I could have doughnuts to every meal, I would, 932 00:54:17,280 --> 00:54:22,520 Speaker 1: I really would. Oh god, crueler probably, And it depends 933 00:54:22,560 --> 00:54:24,800 Speaker 1: on Yeah, it's it's so good. So what were you 934 00:54:24,880 --> 00:54:27,920 Speaker 1: at your at your darkest moment with the sugar just 935 00:54:28,080 --> 00:54:30,840 Speaker 1: like no water and just drinking soda Like that was 936 00:54:30,960 --> 00:54:35,720 Speaker 1: my water, was drinking soda and m favorite Coca Cola Classic. 937 00:54:36,280 --> 00:54:40,320 Speaker 1: I'm feeling spicy Guild cherry coke cold. But that's what 938 00:54:40,800 --> 00:54:44,040 Speaker 1: so and I still struggle with it. Um. But it's 939 00:54:44,480 --> 00:54:46,680 Speaker 1: part of why, like I get my coffees with just milk, 940 00:54:46,880 --> 00:54:49,880 Speaker 1: is because I was starting every day with like tons 941 00:54:49,920 --> 00:54:53,680 Speaker 1: of sugar and start your day with that ship. You know, 942 00:54:53,760 --> 00:54:58,680 Speaker 1: caffeine already is bad enough, but that sugar ship, it's tough. 943 00:54:58,760 --> 00:55:01,400 Speaker 1: But like because I also get my grains in general. 944 00:55:02,040 --> 00:55:03,920 Speaker 1: So like when I started getting off, I mean I 945 00:55:04,040 --> 00:55:06,960 Speaker 1: lost ten pounds almost immediately, and I didn't realize it 946 00:55:07,040 --> 00:55:09,760 Speaker 1: was just like the sugar, that's all it was. Sugar 947 00:55:09,840 --> 00:55:11,319 Speaker 1: just got off your body. Yeah, I just got off 948 00:55:11,400 --> 00:55:14,279 Speaker 1: my body and that so those withdrawals are tough. And 949 00:55:14,400 --> 00:55:18,120 Speaker 1: even now I I'm like, oh, I need to eat 950 00:55:18,160 --> 00:55:21,560 Speaker 1: sugar and I'm not diabetic, which thank god, it's seriously 951 00:55:21,600 --> 00:55:24,880 Speaker 1: thank god because I should be. And I actually got tested, 952 00:55:25,000 --> 00:55:26,960 Speaker 1: which was funny because every time I'm like, can I 953 00:55:27,080 --> 00:55:29,960 Speaker 1: just get my blood tested, They're like, you're skinny, You're fine. 954 00:55:30,000 --> 00:55:38,520 Speaker 1: I'm like, that's not how anything, idiots. Yeah, and doctor 955 00:55:39,760 --> 00:55:47,480 Speaker 1: just take my I'm sorry what really bad headaches? Okay, 956 00:55:47,560 --> 00:55:50,920 Speaker 1: go ahead off and and I like made them get 957 00:55:51,200 --> 00:55:53,600 Speaker 1: test my blood. But um, you know. But that's the 958 00:55:53,680 --> 00:55:56,279 Speaker 1: other thing is that like people if you especially if 959 00:55:56,320 --> 00:55:59,279 Speaker 1: you're not if you don't look diabetic, people will really 960 00:55:59,360 --> 00:56:01,680 Speaker 1: dismiss you. Sure, And I was like, no one's going 961 00:56:01,719 --> 00:56:04,360 Speaker 1: to help my sugar addiction. Accept me, like nobody cares. 962 00:56:04,480 --> 00:56:06,120 Speaker 1: Because also the only thing that would get is at 963 00:56:06,160 --> 00:56:09,239 Speaker 1: which I do have now, is acne. And it's one 964 00:56:09,239 --> 00:56:11,120 Speaker 1: of those these people like Oh, that's it. Good for you, 965 00:56:11,360 --> 00:56:13,600 Speaker 1: it's a blessing. And I'm like, that's still not My 966 00:56:13,719 --> 00:56:18,600 Speaker 1: body is still reacting negatively consumption, and yeah, so I think, yeah, 967 00:56:18,640 --> 00:56:21,000 Speaker 1: people just have an unhealthy sugar addiction. And it's also 968 00:56:21,120 --> 00:56:26,200 Speaker 1: like it's easy to dismiss sugar addiction because it's not opioid, 969 00:56:26,280 --> 00:56:30,200 Speaker 1: it's foods, it's not drinking and driving. It's just like 970 00:56:31,160 --> 00:56:33,680 Speaker 1: not affecting my job negatively, right, even though you're a 971 00:56:33,840 --> 00:56:39,600 Speaker 1: bitch at work, Karen, Like, we're out of screaming. But 972 00:56:39,719 --> 00:56:41,880 Speaker 1: you know what worry not for people who are if 973 00:56:42,120 --> 00:56:45,560 Speaker 1: if your order is you can still get that embarrassing 974 00:56:45,560 --> 00:56:47,960 Speaker 1: ash drink, you have to order in person and say 975 00:56:47,960 --> 00:56:49,680 Speaker 1: that out loud in front of other people out of star. 976 00:56:49,719 --> 00:56:52,280 Speaker 1: But that's a great way to shame people into reducing 977 00:56:52,320 --> 00:56:54,000 Speaker 1: their sugar and take. Well, that was a theory a 978 00:56:54,040 --> 00:56:56,279 Speaker 1: lot of barista's had who were they interviewed when they 979 00:56:56,320 --> 00:56:58,359 Speaker 1: were talking about this, they were just like, you see 980 00:56:58,360 --> 00:57:00,520 Speaker 1: it more in the app because they feel like those 981 00:57:00,560 --> 00:57:02,799 Speaker 1: people don't have to go and tell a human being 982 00:57:03,440 --> 00:57:05,879 Speaker 1: high with like a tempum fanilla five Karma five pump 983 00:57:05,920 --> 00:57:10,960 Speaker 1: classic syrup. Crazy. Yeah, people be like, what the shame 984 00:57:11,160 --> 00:57:13,000 Speaker 1: is good. You do you need to bring back a 985 00:57:13,040 --> 00:57:15,960 Speaker 1: little bullying in schools? Just well yeah, just let you know, 986 00:57:16,560 --> 00:57:19,200 Speaker 1: at least get feedback from the outside world. Feedback. That's 987 00:57:19,200 --> 00:57:22,960 Speaker 1: what we call bullying. Feedback. Yeah, thank you to the 988 00:57:23,000 --> 00:57:29,280 Speaker 1: woke bully. Yeah, you rebranded it as feedback. So I've 989 00:57:29,320 --> 00:57:33,320 Speaker 1: got some feedback for you. Push them down, feedback for you. 990 00:57:33,560 --> 00:57:36,200 Speaker 1: What the fund is this outfit? Right, that's funny. I 991 00:57:36,320 --> 00:57:40,320 Speaker 1: want to write a bit about the feedback. I got 992 00:57:40,440 --> 00:57:46,440 Speaker 1: some mom dad, I got some bad usersterrible feedback. Was 993 00:57:46,480 --> 00:57:54,840 Speaker 1: it from Marcella? I have those screws? It was again 994 00:57:56,000 --> 00:58:00,680 Speaker 1: ship So I walked dumb, Well, Jimmy, you do walk 995 00:58:00,800 --> 00:58:04,040 Speaker 1: down your pigeon toad? Ask out of here. I was 996 00:58:04,080 --> 00:58:05,640 Speaker 1: pigeon toad when I was a kid. Were you really? 997 00:58:05,880 --> 00:58:09,040 Speaker 1: I went to a wedding and um, somebody's mom put 998 00:58:09,120 --> 00:58:11,400 Speaker 1: them on blast that they were pigeon toad. It was 999 00:58:11,680 --> 00:58:14,320 Speaker 1: hilarious and nobody knew because we knew him as an 1000 00:58:14,320 --> 00:58:16,560 Speaker 1: adult and we didn't know that he was pigeon. Toed 1001 00:58:16,680 --> 00:58:18,360 Speaker 1: at the kid and she held put him in, she 1002 00:58:18,480 --> 00:58:21,520 Speaker 1: went in on him, was like very sweet. Yeah, they're 1003 00:58:21,520 --> 00:58:23,720 Speaker 1: giving speeches, but it was like free speech. It was 1004 00:58:23,800 --> 00:58:27,560 Speaker 1: just open speeches, which is fucking ridiculous. That ship happens 1005 00:58:27,600 --> 00:58:30,280 Speaker 1: a lot of wedding I hated. It's just NonStop there 1006 00:58:30,440 --> 00:58:33,880 Speaker 1: sometimes when it's like a fucking bad open mic and 1007 00:58:33,960 --> 00:58:36,640 Speaker 1: everybody's like, oh, you know what, maybe you know I 1008 00:58:36,680 --> 00:58:38,600 Speaker 1: would like to say something like no, no, no, no no. 1009 00:58:38,960 --> 00:58:42,400 Speaker 1: The stepfather doesn't need to say something again. Yeah, those 1010 00:58:42,440 --> 00:58:46,280 Speaker 1: people don't talk well. Yeah, And it's like very circular 1011 00:58:46,400 --> 00:58:48,440 Speaker 1: too because everybody's sucked up. And then we're like, you know, 1012 00:58:48,440 --> 00:58:50,880 Speaker 1: I just want to tell everybody when I look at 1013 00:58:50,920 --> 00:58:53,720 Speaker 1: these kids, I've just been just feeling a lot of 1014 00:58:53,800 --> 00:58:57,440 Speaker 1: love for that turn to the room exactly like, and 1015 00:58:57,560 --> 00:58:58,920 Speaker 1: I got a lot of hope, and I feel like 1016 00:58:59,160 --> 00:59:01,680 Speaker 1: you look around every everybody's rooting for you guys, and 1017 00:59:02,240 --> 00:59:04,880 Speaker 1: we're gonna we just got a lot of love for 1018 00:59:04,920 --> 00:59:08,320 Speaker 1: you guys. And you know, no matter what, no matter what, 1019 00:59:09,360 --> 00:59:16,400 Speaker 1: looking each other's eyes. I don't know, yeah, because because 1020 00:59:16,440 --> 00:59:19,960 Speaker 1: it's my favorite. Oh there is the other thing though 1021 00:59:19,960 --> 00:59:23,680 Speaker 1: too that you said that remind this finger waving. It's 1022 00:59:23,720 --> 00:59:28,840 Speaker 1: this caffeine. Is the like at weddings when like family 1023 00:59:28,920 --> 00:59:31,360 Speaker 1: members go in so hard on the people that are 1024 00:59:31,400 --> 00:59:34,600 Speaker 1: getting married and you have no idea. I saw. I'm 1025 00:59:34,600 --> 00:59:36,320 Speaker 1: not gonna name names because I think these people might 1026 00:59:36,360 --> 00:59:38,400 Speaker 1: listen to the show. You know. I saw someone sibling 1027 00:59:38,520 --> 00:59:43,040 Speaker 1: do a whole fucking song about how they shipped themselves right, 1028 00:59:43,680 --> 00:59:47,280 Speaker 1: and I was like, Yo, that's fucking wild. This was 1029 00:59:47,360 --> 00:59:51,040 Speaker 1: like at a rehearsal dinner. Oh my god, you know 1030 00:59:51,160 --> 00:59:55,240 Speaker 1: they're gonna know that's not a thing that happens to 1031 00:59:55,280 --> 00:59:59,920 Speaker 1: wed on Friday. And the bride's maid best whatever the 1032 01:00:00,240 --> 01:00:03,240 Speaker 1: that she does, called the best Woman. She the maid 1033 01:00:03,280 --> 01:00:06,560 Speaker 1: of honor. I think best Woman is a better and 1034 01:00:06,760 --> 01:00:08,560 Speaker 1: the best Woman was like giving her speech and she 1035 01:00:08,640 --> 01:00:11,400 Speaker 1: was like and then they went through that breakup and 1036 01:00:11,560 --> 01:00:14,680 Speaker 1: we all, because we're all comedians, we all bowed. We're like, 1037 01:00:16,720 --> 01:00:20,200 Speaker 1: because he broke up with her, We're like, and she 1038 01:00:20,320 --> 01:00:22,320 Speaker 1: like really talked about their break because they had like 1039 01:00:22,360 --> 01:00:24,720 Speaker 1: a big breakup. And I leaned over to my friend 1040 01:00:24,760 --> 01:00:27,280 Speaker 1: who was there, and I was like, girl, don't ever 1041 01:00:27,600 --> 01:00:29,080 Speaker 1: if you give us, if I ever get married, and 1042 01:00:29,120 --> 01:00:31,280 Speaker 1: if you give us, don't ever bring up the bad 1043 01:00:31,360 --> 01:00:35,320 Speaker 1: time time, not even if you trying to juxtapose that 1044 01:00:35,400 --> 01:00:40,880 Speaker 1: with how far we've come. Times sure freeze over. I 1045 01:00:40,960 --> 01:00:45,040 Speaker 1: mean we remember I think we all remember remember when 1046 01:00:45,400 --> 01:00:54,480 Speaker 1: we called you the zanman. But yeah, yeah, weddings are 1047 01:00:55,640 --> 01:00:59,640 Speaker 1: there's some there's some good times. Yeah yeah, is that 1048 01:00:59,720 --> 01:01:02,520 Speaker 1: getting Let us know if you've ever seen a parent 1049 01:01:02,760 --> 01:01:05,360 Speaker 1: or a relative single handedly nearly bring down a wedding 1050 01:01:05,400 --> 01:01:07,480 Speaker 1: with a speech. My dad was talking about a speech 1051 01:01:07,680 --> 01:01:11,000 Speaker 1: he saw the wedding recently where they talked about like 1052 01:01:11,120 --> 01:01:14,840 Speaker 1: how quickly the woman slept with the guy, and that 1053 01:01:15,160 --> 01:01:19,880 Speaker 1: like weighed into like how it's like and that's how 1054 01:01:19,960 --> 01:01:24,520 Speaker 1: I knew that, like very my son was marrying a 1055 01:01:24,640 --> 01:01:29,920 Speaker 1: horror exactly, but she was pretty chill. She also slept 1056 01:01:29,960 --> 01:01:31,600 Speaker 1: with me and your mother. I don't know if you 1057 01:01:31,680 --> 01:01:36,680 Speaker 1: know that things got wild and tempi temp it's definitely 1058 01:01:36,720 --> 01:01:41,200 Speaker 1: in Tempe. Uh. Well ship Marcella. It's always so much 1059 01:01:41,280 --> 01:01:44,040 Speaker 1: fun having you. Thank you. I have a tweet. I 1060 01:01:44,080 --> 01:01:46,040 Speaker 1: have the tweet to share. Yeah, hell yeah, of course 1061 01:01:46,120 --> 01:01:50,360 Speaker 1: you do. I usually ask you first. Where people can 1062 01:01:50,480 --> 01:01:54,120 Speaker 1: find at Marcella Comedy dot com and at Marcella Comedy 1063 01:01:54,160 --> 01:01:57,080 Speaker 1: on Everything. Yeah yeah, I have a new series called 1064 01:01:57,120 --> 01:01:59,960 Speaker 1: you Welcome on All Things Comedy dot com. It's basically 1065 01:02:00,040 --> 01:02:04,800 Speaker 1: believe me, it's like a talk show centers women comedians 1066 01:02:04,840 --> 01:02:07,200 Speaker 1: and we just talked about like pop culture and politics 1067 01:02:07,280 --> 01:02:09,160 Speaker 1: and just anything we want to talk about. It's basically 1068 01:02:09,200 --> 01:02:12,600 Speaker 1: this show but funny. Oh great, thank you for the feedback. Yeah, 1069 01:02:12,680 --> 01:02:17,000 Speaker 1: you're welcome. You're welcome. Okay, So check it out on 1070 01:02:17,080 --> 01:02:19,520 Speaker 1: YouTube and all Things comedy dot com. And is their 1071 01:02:19,560 --> 01:02:23,640 Speaker 1: tweet you've been yes, Sorry, I'm like jumping over. I'm 1072 01:02:23,680 --> 01:02:28,160 Speaker 1: doing your job for you to replace you doing. But okay, 1073 01:02:28,160 --> 01:02:30,000 Speaker 1: there's this chick I just started following. Her name is 1074 01:02:30,080 --> 01:02:33,240 Speaker 1: Dana Donnelly. Oh yeah she is. We all follow it. 1075 01:02:33,720 --> 01:02:39,440 Speaker 1: She came out the shadows so funny. I'm like, she's 1076 01:02:39,440 --> 01:02:41,440 Speaker 1: not been on the show. I love a ship talking 1077 01:02:41,600 --> 01:02:46,920 Speaker 1: woman who's pretty and smart and dum and like that's 1078 01:02:47,000 --> 01:02:51,480 Speaker 1: my favorite. Yeah, pinpoint locked in. I'm like, I'm exactly 1079 01:02:51,760 --> 01:02:53,680 Speaker 1: the world you're coming from. She is doing women Crush 1080 01:02:53,720 --> 01:02:55,880 Speaker 1: Wednesdays on an upcoming day, I believe. In October, I 1081 01:02:55,960 --> 01:02:57,720 Speaker 1: warned her Weekly in Los Angeles if you want to 1082 01:02:57,760 --> 01:03:00,760 Speaker 1: come to that, but her my tweet that I enjoyed 1083 01:03:00,840 --> 01:03:03,320 Speaker 1: this week. Sure I may not be great in big 1084 01:03:03,400 --> 01:03:06,120 Speaker 1: group conversations, but get me one on one it's so 1085 01:03:06,280 --> 01:03:11,080 Speaker 1: much worse. As uh. I also liked that that was 1086 01:03:11,080 --> 01:03:15,800 Speaker 1: an amazing tweet. Miles, where can people find you? Find 1087 01:03:15,840 --> 01:03:19,040 Speaker 1: me and follow me on Twitter and Instagram at Miles 1088 01:03:19,240 --> 01:03:21,680 Speaker 1: of Gray, there wouldn't happen to be a tweet you've 1089 01:03:21,720 --> 01:03:24,960 Speaker 1: been enjoying. Also Danta Donnelly, Yeah, I'm just gonna do it. 1090 01:03:25,080 --> 01:03:27,680 Speaker 1: Yeah because I I every day. I check her feed 1091 01:03:27,880 --> 01:03:30,480 Speaker 1: every day because it's always something good. Here's a few 1092 01:03:30,560 --> 01:03:34,160 Speaker 1: of them. I bought a u c B upright Citizens Brigade. 1093 01:03:34,360 --> 01:03:36,920 Speaker 1: I bought a UCB hoodie for forty five dollars as 1094 01:03:37,000 --> 01:03:40,680 Speaker 1: a quote joke, which sadly is actually the least amount 1095 01:03:40,680 --> 01:03:42,840 Speaker 1: of money anyone's ever spent at uc B to not 1096 01:03:43,000 --> 01:03:49,600 Speaker 1: be funny. One more at thirty three year old man, 1097 01:03:49,640 --> 01:03:51,520 Speaker 1: I dated clarify to me that his parents do not 1098 01:03:51,640 --> 01:03:54,680 Speaker 1: quote give him money, They simply provide him with quote 1099 01:03:54,880 --> 01:03:59,240 Speaker 1: startup capital because his writing career is quote an investment opportunity. 1100 01:03:59,520 --> 01:04:04,440 Speaker 1: And I hoologized for making assumptions. Oh man, that's pretty good. 1101 01:04:04,560 --> 01:04:07,240 Speaker 1: She's great. We gotta have her on. We're gonna have her. 1102 01:04:07,400 --> 01:04:09,360 Speaker 1: You should have her on. I think she I was 1103 01:04:09,400 --> 01:04:12,000 Speaker 1: watching the first stand up clip. She's pretty funny. She's 1104 01:04:12,040 --> 01:04:15,720 Speaker 1: got a great voice. Yeah, very lucky couple of tweets 1105 01:04:15,720 --> 01:04:20,200 Speaker 1: I've been enjoying on the Ivanka Trump is wearing a 1106 01:04:21,560 --> 01:04:26,840 Speaker 1: h a dressed with like big sleeves, sleeves they almost 1107 01:04:26,880 --> 01:04:31,280 Speaker 1: looked like cones, and Langston Kerman tweeted the Vette put 1108 01:04:31,360 --> 01:04:33,560 Speaker 1: cones on her arms to keep her from jerking off 1109 01:04:33,600 --> 01:04:40,800 Speaker 1: her father. Oh my god, Yeah, how is even It's 1110 01:04:40,840 --> 01:04:44,640 Speaker 1: avant garde? I thought I was on frugs looking at that. 1111 01:04:46,040 --> 01:04:49,760 Speaker 1: It looks like what's that flower anyway? Uh? And then 1112 01:04:49,920 --> 01:04:55,320 Speaker 1: Brian yang at Brian in response to the Scarlett Johnson 1113 01:04:55,440 --> 01:04:59,320 Speaker 1: defending Woody Allen story someone trying to play sun Ye 1114 01:04:59,520 --> 01:05:03,680 Speaker 1: in the wood Allen bio pick. Brian is so funny. 1115 01:05:04,280 --> 01:05:07,680 Speaker 1: We started in North hel together. Great is he out here? 1116 01:05:08,120 --> 01:05:11,720 Speaker 1: It's in New York. He's super funny. Uh. We gotta 1117 01:05:11,760 --> 01:05:14,480 Speaker 1: have him out Yeah you should, he'd be great on there. 1118 01:05:15,440 --> 01:05:19,040 Speaker 1: Um you find me on Twitter at Jack Underscore Brian. 1119 01:05:21,880 --> 01:05:27,280 Speaker 1: Just some feedback, Jack, Yeah, just some feedback, Just some 1120 01:05:27,440 --> 01:05:31,320 Speaker 1: feedback Jack. I'm start saying, just like that, someone feedback 1121 01:05:31,440 --> 01:05:34,120 Speaker 1: Jack to just leave you a note. That's a shut 1122 01:05:34,240 --> 01:05:40,240 Speaker 1: the up little feedback Jack comment box. You can find 1123 01:05:40,440 --> 01:05:42,480 Speaker 1: us on Twitter at Daily Zy. Guys were at the 1124 01:05:42,600 --> 01:05:44,840 Speaker 1: Daily Zy Guys on Instagram, we have a Facebook sam 1125 01:05:44,880 --> 01:05:48,200 Speaker 1: page on a website Daily zys dot com. Whey post 1126 01:05:48,320 --> 01:05:51,480 Speaker 1: our episodes and are put where we link off to 1127 01:05:51,560 --> 01:05:54,560 Speaker 1: the information that we talked about in today's episode. As 1128 01:05:54,600 --> 01:05:58,880 Speaker 1: well as the song we ride out on, We'll do 1129 01:05:58,960 --> 01:06:04,880 Speaker 1: a track by Injury Reserve Wrapping trio who sound like 1130 01:06:05,240 --> 01:06:08,360 Speaker 1: nineties wrap that I love. Yeah, I'm always into people 1131 01:06:08,360 --> 01:06:10,040 Speaker 1: who are you know, down with that golden era. This 1132 01:06:10,120 --> 01:06:12,600 Speaker 1: track is called three Man We've another thing. If you 1133 01:06:12,640 --> 01:06:15,560 Speaker 1: ever played basketball, ever knew how to do the three 1134 01:06:15,560 --> 01:06:18,880 Speaker 1: man weeks yea, all right, we're gonna ride out on that. 1135 01:06:19,040 --> 01:06:21,040 Speaker 1: We will be back tomorrow because it is a daily 1136 01:06:21,120 --> 01:06:25,160 Speaker 1: podcast and we will talk to you guys by This 1137 01:06:25,320 --> 01:06:28,480 Speaker 1: reminded Nigga of high school. No repercussions for the ship 1138 01:06:28,560 --> 01:06:31,720 Speaker 1: that I do, check it, yo. My biggest worries were 1139 01:06:31,760 --> 01:06:34,520 Speaker 1: missing the free throw. Now me Crons and Pete doing 1140 01:06:34,600 --> 01:06:37,600 Speaker 1: the three mail we go. Well, I was too protectious 1141 01:06:37,640 --> 01:06:40,040 Speaker 1: for some amigos. Then they made the song with Little 1142 01:06:40,080 --> 01:06:43,600 Speaker 1: Beeta check it, yo, ship change. That's the ship that 1143 01:06:43,720 --> 01:06:46,400 Speaker 1: we know now me CrOx and Pete doing the three 1144 01:06:46,520 --> 01:06:49,960 Speaker 1: man we Go. This reminded nigga of high school. No 1145 01:06:50,120 --> 01:06:53,080 Speaker 1: repercussions for the ship that I do check it yo. 1146 01:06:53,480 --> 01:06:55,920 Speaker 1: My biggest worries were missing the free throw. Now me 1147 01:06:56,160 --> 01:06:58,520 Speaker 1: Crons and Pete doing the three mail week