1 00:00:00,160 --> 00:00:03,800 Speaker 1: Hello the Internet, and welcome to Season to thirteen, episode 2 00:00:03,800 --> 00:00:07,520 Speaker 1: two of Day at Least like a production of I 3 00:00:07,680 --> 00:00:09,840 Speaker 1: Heart Radio. This is a podcast where you take a 4 00:00:09,840 --> 00:00:13,960 Speaker 1: deep dive into America's shared consciousness. And it's Tuesday, November 5 00:00:14,040 --> 00:00:20,000 Speaker 1: thirty one, which of course means miles it is. I mean, look, 6 00:00:20,040 --> 00:00:24,919 Speaker 1: it's stay home because You're Well Day, National Personal Space Day, 7 00:00:25,160 --> 00:00:28,560 Speaker 1: National m I S s I S S I p 8 00:00:28,560 --> 00:00:33,040 Speaker 1: p I Day, Mrs Zippy Day, and National Mason Jar Day, 9 00:00:33,320 --> 00:00:35,360 Speaker 1: a little bit of something for everybody, and National Meth 10 00:00:35,440 --> 00:00:39,519 Speaker 1: Awareness Day. Meth Awareness. Yeah, okay, I don't know what 11 00:00:39,560 --> 00:00:42,479 Speaker 1: to stay home because you're well days. That seems like 12 00:00:43,120 --> 00:00:44,800 Speaker 1: it seems like I think I wouldn't make up as 13 00:00:44,800 --> 00:00:49,880 Speaker 1: like a high schooler, like play Hockey Day, National Thermometer 14 00:00:50,000 --> 00:00:53,800 Speaker 1: against the lamp, oh right right right yeah? Or I 15 00:00:53,840 --> 00:00:55,360 Speaker 1: would do is I would take a little bit of 16 00:00:55,440 --> 00:00:57,640 Speaker 1: tea because you know, like you have a little hot 17 00:00:57,640 --> 00:00:59,320 Speaker 1: water in your mouth and then you just have to 18 00:00:59,400 --> 00:01:01,720 Speaker 1: bring the tone up that's to the right point and 19 00:01:01,720 --> 00:01:03,560 Speaker 1: then you take it out. Anyway, for all you kids 20 00:01:03,560 --> 00:01:08,440 Speaker 1: out there around tea kettles professional all right, well, my 21 00:01:08,520 --> 00:01:15,160 Speaker 1: name is Jack O'Brien, a k nothing compares. Nothing compares 22 00:01:15,680 --> 00:01:20,880 Speaker 1: to spruce. That is courtesy of Party. Barker really is 23 00:01:21,480 --> 00:01:26,320 Speaker 1: talking about some Christmas trees. Christmas trees really, And I'm 24 00:01:26,319 --> 00:01:28,880 Speaker 1: thrilled to be joined as always by my co host, 25 00:01:29,319 --> 00:01:36,760 Speaker 1: Mr Miles Gray. Miles Gray, Oh man, I wish uh 26 00:01:37,000 --> 00:01:41,120 Speaker 1: uh it's I hit day o'noho back on the air waves. 27 00:01:41,160 --> 00:01:43,280 Speaker 1: I was traveling, you know, I was in New York. 28 00:01:43,640 --> 00:01:45,960 Speaker 1: It was cool to wear a jacket. So I think 29 00:01:46,000 --> 00:01:48,440 Speaker 1: I'm still kind of riding that high of wearing winter clothing. 30 00:01:48,880 --> 00:01:50,200 Speaker 1: So you have to forgive me for a lack of 31 00:01:50,200 --> 00:01:52,920 Speaker 1: an a K because I see the discorders popping with them, 32 00:01:52,920 --> 00:01:55,920 Speaker 1: So rest as shirt. I will come back strong. Conna 33 00:01:55,920 --> 00:01:58,840 Speaker 1: get to you well, Miles. We are thrilled to be 34 00:01:58,920 --> 00:02:02,240 Speaker 1: joined in our herd seat once again by a brilliant, 35 00:02:02,360 --> 00:02:07,680 Speaker 1: talented political strategist, storyteller and artists who has performed her 36 00:02:07,760 --> 00:02:11,560 Speaker 1: poetry on stages everywhere including I don't know the White House. 37 00:02:12,200 --> 00:02:19,639 Speaker 1: Please welcome Tez. I'll man, how's it going. Well? I'm 38 00:02:19,680 --> 00:02:23,919 Speaker 1: still feeling that like post Thanksgiving with erg so oh yeah, 39 00:02:26,120 --> 00:02:28,360 Speaker 1: like my body and I didn't even really eat a 40 00:02:28,400 --> 00:02:31,000 Speaker 1: formal Thanksgiving. I went to a restaurant, but I had 41 00:02:31,360 --> 00:02:34,160 Speaker 1: They had a Thanksgiving like meal that you could have 42 00:02:34,240 --> 00:02:36,840 Speaker 1: got there, but I was like, I just want stuffing 43 00:02:36,840 --> 00:02:39,520 Speaker 1: and gravy, So I just said, can I just get 44 00:02:39,560 --> 00:02:42,400 Speaker 1: that as a side to my other meal? So I 45 00:02:43,639 --> 00:02:47,000 Speaker 1: got that. We went to Lucy Lucile's the day after 46 00:02:47,040 --> 00:02:49,840 Speaker 1: Thanksgiving because we didn't have corn bread, and then all 47 00:02:49,880 --> 00:02:51,520 Speaker 1: of a sudden, we're like, oh, we need we need 48 00:02:51,560 --> 00:02:53,840 Speaker 1: to eat corn bread now, right, So it was just 49 00:02:54,080 --> 00:02:56,640 Speaker 1: like a gluttonist and then they made cheesecake las night. 50 00:02:56,680 --> 00:02:59,080 Speaker 1: So it's just been a gluttonis weekend where you didn't wait. 51 00:02:59,120 --> 00:03:00,959 Speaker 1: So where do you right now? You with your family? 52 00:03:01,639 --> 00:03:03,480 Speaker 1: I'm at my dad's house. He lives in the suburbs 53 00:03:03,480 --> 00:03:07,040 Speaker 1: of Ontario. Cheesecake is really easy to make, but I've 54 00:03:07,040 --> 00:03:10,720 Speaker 1: been trying to come up with my my twist on it. 55 00:03:10,880 --> 00:03:13,280 Speaker 1: So that's been kind of fun. Right When you say 56 00:03:13,280 --> 00:03:18,679 Speaker 1: on Teraro, you mean like Ontario, like California. Yeah, okay, yeah, 57 00:03:18,880 --> 00:03:21,880 Speaker 1: my crossing borders yet no shout out to Ontario Mills, 58 00:03:22,360 --> 00:03:25,880 Speaker 1: Ontario Mills, Ontaria Airport. Yeah. I thought that you could 59 00:03:25,880 --> 00:03:28,600 Speaker 1: only make cheesecake at the cheesecake factory. I thought they 60 00:03:28,639 --> 00:03:31,280 Speaker 1: had like a trademark on that. I didn't know that 61 00:03:31,360 --> 00:03:34,320 Speaker 1: was a homemake couple thing. Oh my gosh, if you 62 00:03:34,560 --> 00:03:40,520 Speaker 1: look at your Philadelphia m bar, the cheesecake cream cheese 63 00:03:40,640 --> 00:03:45,960 Speaker 1: there didn't keep in my pocket, keep on keep one 64 00:03:46,000 --> 00:03:49,040 Speaker 1: on me as they say, yeah, how many blocks do 65 00:03:49,080 --> 00:03:51,680 Speaker 1: you typically need for like one cheesecake I've never made. 66 00:03:51,640 --> 00:03:55,120 Speaker 1: It's so funny. I love cheesecake, never even attempted to 67 00:03:55,160 --> 00:03:57,920 Speaker 1: make it, never even watch someone make it. But I 68 00:03:58,400 --> 00:04:02,120 Speaker 1: used one one for this go. But here's okay. So 69 00:04:02,200 --> 00:04:04,920 Speaker 1: this is like my little background. Like there's just Bengali dessert. 70 00:04:05,320 --> 00:04:08,960 Speaker 1: The families from Bangladesh. Bengalis are known for sweets. There's 71 00:04:09,040 --> 00:04:11,960 Speaker 1: Bengali dessert called Rustumale, which has like a lot of 72 00:04:12,080 --> 00:04:14,560 Speaker 1: cardamom and saffron. So I've been trying to like make 73 00:04:14,600 --> 00:04:17,800 Speaker 1: rest my Life fusion desserts every Thanksgiving. So last year 74 00:04:17,839 --> 00:04:23,000 Speaker 1: I made Arrestme Life trust liches and then that was amazing. 75 00:04:23,120 --> 00:04:27,120 Speaker 1: So it's just like tress lasts with saffron and uh cardamum. 76 00:04:27,839 --> 00:04:29,800 Speaker 1: And then this year I wanted to try to do 77 00:04:29,920 --> 00:04:33,240 Speaker 1: a saffron cardamom cheesecake and it works, and I'm being 78 00:04:33,240 --> 00:04:36,560 Speaker 1: impressed with myself I'm just gonna keep riding this fusion wave. Yeah, 79 00:04:36,680 --> 00:04:38,960 Speaker 1: we're not baking, I mean straight to the bank. What's 80 00:04:39,080 --> 00:04:42,040 Speaker 1: how was the Fusion trust Liches? How was that? Oh? 81 00:04:42,240 --> 00:04:45,400 Speaker 1: My god, it was so good. I'll send y'all the restipe. 82 00:04:45,480 --> 00:04:48,400 Speaker 1: It was delicious. It's my favorite, my favorite. If you 83 00:04:48,480 --> 00:04:49,680 Speaker 1: ever see me in the street and you want to 84 00:04:49,720 --> 00:04:52,160 Speaker 1: give me something, put it in front of my face 85 00:04:52,200 --> 00:04:55,440 Speaker 1: and I will smile. I think I want to try 86 00:04:55,480 --> 00:04:57,960 Speaker 1: the flon next see if I can like figure figure 87 00:04:58,000 --> 00:05:03,680 Speaker 1: that out. Yeah, or like a krembro a too. I'm 88 00:05:03,720 --> 00:05:06,400 Speaker 1: just gonna keep talking about desserts. I was like, I'm 89 00:05:06,440 --> 00:05:09,440 Speaker 1: talking like somebody who didn't eat enough Thanksgiving food on 90 00:05:09,520 --> 00:05:12,640 Speaker 1: Thanksgiving and now we're the start of the holiday season. 91 00:05:12,640 --> 00:05:16,760 Speaker 1: We're gonna be eating throughout. Yeah, I know what else 92 00:05:16,800 --> 00:05:20,040 Speaker 1: are we going to do? Being led around by his 93 00:05:20,160 --> 00:05:22,719 Speaker 1: nose with his feet like an inch off the ground, 94 00:05:22,960 --> 00:05:28,320 Speaker 1: with some trislates like a cartoon away. Yeah, yeah, So 95 00:05:28,520 --> 00:05:30,520 Speaker 1: are you you were back home? Is this where you 96 00:05:30,560 --> 00:05:33,800 Speaker 1: grew up? Are you back in the Yeah? I grew 97 00:05:33,920 --> 00:05:36,360 Speaker 1: up in the suburbs of l A. I went to 98 00:05:36,400 --> 00:05:40,760 Speaker 1: Ontario High School. I went to l A Colleges in 99 00:05:40,920 --> 00:05:43,040 Speaker 1: l A, but I would always come back on the weekends. 100 00:05:44,200 --> 00:05:45,960 Speaker 1: It was kind of hard for the pandemic because I 101 00:05:46,000 --> 00:05:47,840 Speaker 1: wasn't coming back to see my dad as off. My 102 00:05:47,920 --> 00:05:50,560 Speaker 1: dad lives here now in this house, so I wouldn't 103 00:05:50,560 --> 00:05:52,640 Speaker 1: come back during the pandemic. But this is this was 104 00:05:52,720 --> 00:05:55,839 Speaker 1: like the first Thanksgiving where it felt kind of normal 105 00:05:56,160 --> 00:05:59,760 Speaker 1: in two years. It was still kind of scary too, 106 00:06:00,400 --> 00:06:02,120 Speaker 1: Like we hung out, but we were like hanging out 107 00:06:02,200 --> 00:06:05,480 Speaker 1: outside with my cousins, right right, right, Yeah, there's still 108 00:06:05,680 --> 00:06:07,760 Speaker 1: I mean, yeah, there's still a level of edginess to 109 00:06:07,880 --> 00:06:12,080 Speaker 1: it all, despite you know, vaccinations and you know infection 110 00:06:12,160 --> 00:06:14,960 Speaker 1: rates going up and down. It's always at a constant 111 00:06:15,040 --> 00:06:17,920 Speaker 1: hum in the background. How are your Thanksgivings? I know 112 00:06:18,080 --> 00:06:20,880 Speaker 1: this is on Tuesday. I still got to keep talking 113 00:06:20,920 --> 00:06:24,679 Speaker 1: about I mean I was fine again. New York, City 114 00:06:24,760 --> 00:06:28,920 Speaker 1: of Dreams, the Green Apple. Everything in New York isn't 115 00:06:28,920 --> 00:06:31,800 Speaker 1: always what it seems, right, Yeah, exactly, Okay, I just 116 00:06:31,839 --> 00:06:33,920 Speaker 1: want to make sure that was still the dog Pound 117 00:06:33,960 --> 00:06:36,600 Speaker 1: Gangster quick. But yeah, it's I had a great time. 118 00:06:36,640 --> 00:06:39,359 Speaker 1: I was there for a wedding. Shoutouts to Jacquelin and Scott, 119 00:06:39,360 --> 00:06:41,760 Speaker 1: congratulations on your wedding. That was also a very that 120 00:06:41,880 --> 00:06:43,400 Speaker 1: was like a trip to to just like kind of 121 00:06:43,760 --> 00:06:47,080 Speaker 1: do like some normal thing again. But other than that, 122 00:06:47,400 --> 00:06:50,880 Speaker 1: great time, Great time. Yeah. I I we did Thanksgiving 123 00:06:50,920 --> 00:06:55,080 Speaker 1: dinner outdoors al Fresco, and I was in terms of 124 00:06:55,120 --> 00:06:58,960 Speaker 1: the turkey, so it took too long, and so by 125 00:06:59,000 --> 00:07:01,720 Speaker 1: the time we were it was very cold out. But 126 00:07:02,080 --> 00:07:05,960 Speaker 1: the turkey was very good. I both dry and wet. 127 00:07:06,040 --> 00:07:09,520 Speaker 1: Brian did not in that order, which would have been 128 00:07:09,520 --> 00:07:13,200 Speaker 1: a problem. Okay Jack O'Brien in over here, Yeah, yeah, 129 00:07:13,400 --> 00:07:16,480 Speaker 1: it was. It was like very last minute. I realized 130 00:07:16,640 --> 00:07:19,600 Speaker 1: that we had ordered a bunch of sides and had 131 00:07:19,720 --> 00:07:21,560 Speaker 1: not figured out what we're going to do for the 132 00:07:21,640 --> 00:07:25,760 Speaker 1: main thing. Literally the night before I got like a 133 00:07:25,960 --> 00:07:28,000 Speaker 1: nine pound turkey and was like, all right, what this 134 00:07:28,120 --> 00:07:31,840 Speaker 1: will this will do? And what did what did you 135 00:07:31,960 --> 00:07:34,960 Speaker 1: use for the brain? So we have some rosemary in 136 00:07:35,040 --> 00:07:37,600 Speaker 1: the backyard. We have a lemon tree in the backyard. 137 00:07:37,720 --> 00:07:40,520 Speaker 1: So I just did some rosemary and lemon and some 138 00:07:41,160 --> 00:07:45,240 Speaker 1: fresh time and then just a shipload of salt and 139 00:07:45,640 --> 00:07:48,920 Speaker 1: water and you know, boiled it up, let it cool. 140 00:07:49,320 --> 00:07:51,600 Speaker 1: Was up until like one in the morning the night 141 00:07:51,680 --> 00:07:55,080 Speaker 1: before doing it, because it was you know, I figured 142 00:07:55,120 --> 00:07:58,840 Speaker 1: out I was doing it at like ten o'clock as closing, 143 00:07:59,400 --> 00:08:03,560 Speaker 1: so very well, it's all about preparation bad at that 144 00:08:04,200 --> 00:08:05,840 Speaker 1: so it was it was a bit of a mess 145 00:08:05,880 --> 00:08:07,800 Speaker 1: and we didn't have a coacher assault so I used 146 00:08:07,840 --> 00:08:11,000 Speaker 1: him La and salt so for a while, the turkey 147 00:08:11,120 --> 00:08:14,600 Speaker 1: was like bright pink, which was kind of weird. People 148 00:08:14,600 --> 00:08:20,000 Speaker 1: are like, okayoked, but then yeah, cooked down it was. 149 00:08:20,080 --> 00:08:23,320 Speaker 1: It was good. It was yeah, and I'm I'm glad 150 00:08:23,320 --> 00:08:25,280 Speaker 1: to hear that even though it's delayed, it came out. 151 00:08:25,800 --> 00:08:29,000 Speaker 1: I'm more succulent than even you could have hoped. And 152 00:08:29,800 --> 00:08:33,599 Speaker 1: I always that's my favorite line from Signed Folding the 153 00:08:33,679 --> 00:08:39,760 Speaker 1: Ducked and shout out to Sharon, my mom. We we 154 00:08:40,080 --> 00:08:44,440 Speaker 1: once again used her sweet Potato crunch recipe. It's one 155 00:08:44,480 --> 00:08:47,960 Speaker 1: of those like old school seventies recipes. It's just like various, 156 00:08:48,600 --> 00:08:53,000 Speaker 1: you know, grocery items mixed together, but it's fucking bomb 157 00:08:53,840 --> 00:08:57,199 Speaker 1: hits every time, all right, And we have my in 158 00:08:57,360 --> 00:08:59,000 Speaker 1: laws here and it was fun. We also had some 159 00:08:59,320 --> 00:09:04,480 Speaker 1: Korean beef along with the turkey, so it's really good. Yeah. 160 00:09:04,520 --> 00:09:07,880 Speaker 1: I love the Thanksgiving table that has like different We 161 00:09:08,000 --> 00:09:10,560 Speaker 1: have very aniolso on Thanksgiving, so we have a turkey 162 00:09:10,679 --> 00:09:16,000 Speaker 1: during the daytime, and then dinner was like the Japanese 163 00:09:16,040 --> 00:09:17,480 Speaker 1: So we'll be like, do you like as a kid, 164 00:09:17,640 --> 00:09:19,480 Speaker 1: be like should I make a turkey? And I'm like, well, 165 00:09:19,520 --> 00:09:22,080 Speaker 1: I mean you could make like some other Japanese stuff. Again, 166 00:09:22,120 --> 00:09:23,760 Speaker 1: I was like, just have the stuffing and the matched 167 00:09:23,760 --> 00:09:26,920 Speaker 1: potatoes and we could confusion this ship up. However, we 168 00:09:27,000 --> 00:09:30,480 Speaker 1: need to seriously all right, as we're going to get 169 00:09:30,520 --> 00:09:32,400 Speaker 1: to know you a little bit better in a moment. First, 170 00:09:32,440 --> 00:09:34,079 Speaker 1: we're gonna tell our listeners a couple of the things 171 00:09:34,120 --> 00:09:37,080 Speaker 1: we're talking about. We're gonna just check in with where 172 00:09:37,120 --> 00:09:39,880 Speaker 1: we're at in the pandemic. We got the new variant, 173 00:09:40,520 --> 00:09:42,920 Speaker 1: you know, all that good stuff. So we're gonna just 174 00:09:43,600 --> 00:09:46,280 Speaker 1: how do we feel? What, how should we feel? What? 175 00:09:46,520 --> 00:09:48,679 Speaker 1: What are we what's the signal and the noise all 176 00:09:48,720 --> 00:09:54,680 Speaker 1: that ship. Matthew McConaughey says, no, I'm good about running 177 00:09:54,720 --> 00:09:59,160 Speaker 1: for Texas governor. So we're gonna, you know, just congratulate 178 00:09:59,280 --> 00:10:03,320 Speaker 1: him on that decision. It is, of course, a holiday season. 179 00:10:03,559 --> 00:10:08,120 Speaker 1: The holiday season for many, Christmas is upon us. You know, 180 00:10:08,280 --> 00:10:13,080 Speaker 1: we all did the Mariah Carey Thanksgiving evening change into 181 00:10:13,559 --> 00:10:19,000 Speaker 1: a peppermint candy themed outfit at midnight. So we're gonna 182 00:10:19,040 --> 00:10:22,080 Speaker 1: we're gonna ask the question, what are America's favorite Christmas 183 00:10:22,200 --> 00:10:26,640 Speaker 1: candies by state? You know, it's it's every holiday. We 184 00:10:26,720 --> 00:10:32,520 Speaker 1: have to look at a probably apocryphal chart claiming that 185 00:10:32,920 --> 00:10:36,679 Speaker 1: every state has a has wildly differing candy preferences. This 186 00:10:36,800 --> 00:10:39,719 Speaker 1: one's actually boring enough that it might be true. So 187 00:10:40,000 --> 00:10:43,040 Speaker 1: well we'll talk about that all of that plenty more. 188 00:10:43,360 --> 00:10:46,280 Speaker 1: But first we do like task our guest tas what 189 00:10:46,520 --> 00:10:49,760 Speaker 1: is something from your search history? You know, I was 190 00:10:50,679 --> 00:10:52,959 Speaker 1: cooking a lot this weekend star for my search history. 191 00:10:53,320 --> 00:10:56,160 Speaker 1: It's a lot of recipes, a lot of googling of 192 00:10:56,240 --> 00:11:00,520 Speaker 1: different types of fusion foods. I mean, I was trying 193 00:11:00,520 --> 00:11:04,360 Speaker 1: to figure out what was I mean, I think besides 194 00:11:04,440 --> 00:11:06,800 Speaker 1: you know, thingsgiving related searches. The other thing that I've 195 00:11:06,800 --> 00:11:11,119 Speaker 1: been like really digging into. I'm really into Moorish architecture 196 00:11:11,200 --> 00:11:15,679 Speaker 1: right now. So I definitely went into the the rabbit 197 00:11:15,760 --> 00:11:18,520 Speaker 1: hole looking for different buildings in l A that were 198 00:11:18,559 --> 00:11:23,600 Speaker 1: inspired by this Islamic Moorish if they call it Moorish Revival. 199 00:11:24,559 --> 00:11:27,360 Speaker 1: And it happened, actually actually I happened because but when 200 00:11:27,400 --> 00:11:29,760 Speaker 1: they used to have the World Fair out in Chicago. 201 00:11:30,440 --> 00:11:34,360 Speaker 1: They used to bring have like an example, taj mahal 202 00:11:34,679 --> 00:11:38,040 Speaker 1: Ish architecture thing and then people would come to the 203 00:11:38,080 --> 00:11:41,160 Speaker 1: World World Fair and then say I want that house 204 00:11:41,200 --> 00:11:43,199 Speaker 1: and then they would make it. So this was like 205 00:11:43,640 --> 00:11:45,679 Speaker 1: don't I'm I'm really into this because I was working 206 00:11:46,000 --> 00:11:49,520 Speaker 1: writing a script where my characters get really involved with 207 00:11:49,720 --> 00:11:53,439 Speaker 1: Orientalists tropes that you see in Palm Springs and in 208 00:11:53,559 --> 00:11:57,280 Speaker 1: the the desert out there. So then I jumped into it. 209 00:11:58,640 --> 00:12:00,480 Speaker 1: I will say one of the if you I know 210 00:12:00,559 --> 00:12:02,400 Speaker 1: you're both in l A. If you haven't been to 211 00:12:02,480 --> 00:12:06,679 Speaker 1: the Glendale Library yet, the Glendale Library was actually a 212 00:12:06,840 --> 00:12:09,880 Speaker 1: house that I feel like. His name is Brand, you know, 213 00:12:10,000 --> 00:12:12,760 Speaker 1: the Brand family. They started Glendale and he had this 214 00:12:12,880 --> 00:12:16,920 Speaker 1: Moorish architecture castle built out in the mountains of Glendale, 215 00:12:17,520 --> 00:12:19,640 Speaker 1: and if you go now, it's just kind of like 216 00:12:20,120 --> 00:12:23,000 Speaker 1: it looks like a library that's like inside a mosque. 217 00:12:23,440 --> 00:12:25,600 Speaker 1: It's fascinating to just I don't know for me as 218 00:12:25,640 --> 00:12:27,480 Speaker 1: a as a Muslim woman in l A. I didn't 219 00:12:27,480 --> 00:12:31,440 Speaker 1: realize like we have this kind of connections to Islamic 220 00:12:31,600 --> 00:12:34,880 Speaker 1: architecture around last night. So that is my rabbit hole 221 00:12:34,920 --> 00:12:38,400 Speaker 1: that I've been digging into Oh yeah, because now I'm 222 00:12:38,440 --> 00:12:41,359 Speaker 1: like I was first like googling like Moorish Revival architecture, 223 00:12:41,400 --> 00:12:43,040 Speaker 1: but I'm like, now that I see the Glendale I'm like, 224 00:12:43,280 --> 00:12:48,120 Speaker 1: oh yeah, the Glendale Library. Okay, to try and put 225 00:12:48,200 --> 00:12:51,920 Speaker 1: it in our listeners mind, like what what are features 226 00:12:52,200 --> 00:12:56,600 Speaker 1: of Moorish architecture. It's kind of like over the top 227 00:12:56,760 --> 00:13:00,640 Speaker 1: because it's not really how architecture is an Indie or 228 00:13:00,960 --> 00:13:04,120 Speaker 1: Iran hun or wherever these kinds of pieces are being 229 00:13:04,160 --> 00:13:06,920 Speaker 1: inspired from. It's like the white imagination of the Orient, 230 00:13:07,400 --> 00:13:09,760 Speaker 1: which is my fascination of it because it's kind of like, 231 00:13:10,280 --> 00:13:11,719 Speaker 1: I think the way that I've been thinking about it 232 00:13:11,840 --> 00:13:16,600 Speaker 1: is like growing up as a Muslim girl in southern California, 233 00:13:17,240 --> 00:13:19,360 Speaker 1: the mosque we would go to where like in these 234 00:13:19,400 --> 00:13:22,960 Speaker 1: strip malls because that was what our community could afford. 235 00:13:23,040 --> 00:13:32,199 Speaker 1: Yet here you have like these luxurious homes with Moroccan detail, domes, arches, 236 00:13:33,080 --> 00:13:36,439 Speaker 1: and that was just like their home. And I like 237 00:13:36,559 --> 00:13:39,600 Speaker 1: seeing where that contradiction is that like gray space between 238 00:13:39,640 --> 00:13:42,679 Speaker 1: the two. Yeah right, and yeah, that's like that's like 239 00:13:42,760 --> 00:13:44,920 Speaker 1: sort of like you were saying, I didn't realize there 240 00:13:45,000 --> 00:13:48,600 Speaker 1: was like that sort of like shin Wa Zurie, like Orientalism. 241 00:13:48,760 --> 00:13:51,400 Speaker 1: Stuff happening in Palm Springs. I have to look closer, 242 00:13:51,440 --> 00:13:53,600 Speaker 1: but yeah, it's always Oh my gosh, it's so deep. 243 00:13:53,640 --> 00:13:56,520 Speaker 1: In Palm Springs. There's the City of Mecca, which used 244 00:13:56,559 --> 00:13:59,240 Speaker 1: to be called something else, and they changed it to 245 00:13:59,280 --> 00:14:02,640 Speaker 1: the City of Mecca because the US Department of Agriculture 246 00:14:02,960 --> 00:14:07,440 Speaker 1: they brought in dates from the Middle East basically to grow. 247 00:14:07,720 --> 00:14:09,280 Speaker 1: This was back in the turn of the century. So 248 00:14:09,320 --> 00:14:11,160 Speaker 1: they were like trying to figure out how to make 249 00:14:11,240 --> 00:14:15,320 Speaker 1: the desert of farming land. So they brought in these days. 250 00:14:15,400 --> 00:14:18,800 Speaker 1: They started farming dates out in the desert. They renamed 251 00:14:19,440 --> 00:14:22,400 Speaker 1: the city a city to Mecca. They renamed and you 252 00:14:22,480 --> 00:14:25,080 Speaker 1: know this beach along the Salt and Sea, they called 253 00:14:25,120 --> 00:14:27,040 Speaker 1: it Bombay Beach because they thought that would make it 254 00:14:27,160 --> 00:14:33,560 Speaker 1: look like exotic Indio, right Indio County. Wow, it's like India, 255 00:14:33,680 --> 00:14:40,720 Speaker 1: but it's masculine India High School. Their mascot is are 256 00:14:40,800 --> 00:14:45,280 Speaker 1: the Rags or the or something like that. Coachella has 257 00:14:45,320 --> 00:14:47,320 Speaker 1: the mascot of the Arabs. I don't know, they're just 258 00:14:47,400 --> 00:14:49,880 Speaker 1: like this. I'm just really fascinated by all of that. 259 00:14:50,600 --> 00:14:54,640 Speaker 1: Of the Western gays, m hm. They even have a 260 00:14:54,760 --> 00:14:57,800 Speaker 1: Date Festival where they you know how they have like 261 00:14:57,880 --> 00:15:01,880 Speaker 1: those pageants, They have a pageant where they the winner 262 00:15:02,000 --> 00:15:04,760 Speaker 1: is called the Queen. Queen Shahrazade is the name of 263 00:15:04,800 --> 00:15:09,200 Speaker 1: the pageant winner. And just I don't know, it's just wild. 264 00:15:09,400 --> 00:15:11,920 Speaker 1: I'm just so fascinated by all of this, right that 265 00:15:12,000 --> 00:15:15,000 Speaker 1: it's like entrenched and like people like have doesn't is 266 00:15:15,040 --> 00:15:18,400 Speaker 1: this just all taken, just accepted, or does anyone kind 267 00:15:18,400 --> 00:15:20,800 Speaker 1: of looking back in the history and be like, oh, right, 268 00:15:21,160 --> 00:15:23,440 Speaker 1: I didn't even know. I just thought Queen Shahira Zade 269 00:15:23,520 --> 00:15:25,360 Speaker 1: was just a thing you won and at the at 270 00:15:25,440 --> 00:15:29,440 Speaker 1: the date festival. Mhm. They used to back in the 271 00:15:29,520 --> 00:15:31,360 Speaker 1: day for the day festival, they used to dress up 272 00:15:31,400 --> 00:15:34,120 Speaker 1: in orientalists attire. And if you go to the Date 273 00:15:34,200 --> 00:15:39,440 Speaker 1: Festival still there's they have like Arabia play. I don't know, 274 00:15:39,520 --> 00:15:43,280 Speaker 1: it's it is pretty. It's particularly wild to me because 275 00:15:44,160 --> 00:15:48,720 Speaker 1: that region of southern California is deeply Islamophobic. There's been 276 00:15:48,720 --> 00:15:51,480 Speaker 1: a lot of hate crimes out there yet, so so 277 00:15:51,680 --> 00:15:54,280 Speaker 1: one hand it's like deeply Islamophobic. On the other hand, 278 00:15:54,320 --> 00:16:01,320 Speaker 1: they're like exotifying and you know, horrifying the culture or 279 00:16:01,360 --> 00:16:07,480 Speaker 1: their imagination of culture. Yeah. I could talk on and 280 00:16:07,600 --> 00:16:10,680 Speaker 1: on about this. If anyone's interested, just tweet at me. 281 00:16:10,800 --> 00:16:14,640 Speaker 1: Um like such a nerd about this kind of stuff. Yeah, 282 00:16:15,000 --> 00:16:18,600 Speaker 1: that's super interesting. What is something you think is overrated? 283 00:16:19,320 --> 00:16:27,160 Speaker 1: Pete Davidson, not Pete? What about him? What about him? 284 00:16:27,320 --> 00:16:31,120 Speaker 1: Something could be specific? Now, you know, defending Kardashian. I 285 00:16:31,200 --> 00:16:34,080 Speaker 1: think the relationship thing is overrated. I think that's fake. 286 00:16:35,480 --> 00:16:38,840 Speaker 1: So I don't know, like it just seems it feels 287 00:16:38,840 --> 00:16:43,320 Speaker 1: like a Netflix algorithm relationship, Like an algorithm was like, 288 00:16:43,400 --> 00:16:46,400 Speaker 1: you know, what would turn the fucking internet up? Put 289 00:16:46,480 --> 00:16:50,040 Speaker 1: Pete Davidson with Kim Kardashian. There's like just such an 290 00:16:50,280 --> 00:16:53,000 Speaker 1: energy around it that I've just like become suspicious of 291 00:16:53,560 --> 00:16:56,720 Speaker 1: what what's their whole thing is? But yeah, there is 292 00:16:56,720 --> 00:16:59,800 Speaker 1: a there is a theory on Twitter that Chris Jennerman 293 00:16:59,840 --> 00:17:02,840 Speaker 1: you actor this relationship to get eyes off of Travis Scott. 294 00:17:04,359 --> 00:17:07,680 Speaker 1: But wait, but no, but they were together before Yeah 295 00:17:07,760 --> 00:17:11,040 Speaker 1: the Astro World thing. She knew it was coming because 296 00:17:11,080 --> 00:17:14,240 Speaker 1: she also planned that. Yeah, she also planned after wout disaster. Yeah, 297 00:17:14,240 --> 00:17:17,440 Speaker 1: where's that Twitter threat? Yeah? I do wonder how much 298 00:17:17,760 --> 00:17:23,240 Speaker 1: is you know, maybe maybe it's not like externally orchestrated. 299 00:17:23,400 --> 00:17:27,960 Speaker 1: But if you are like very smart at like knowing 300 00:17:28,040 --> 00:17:31,200 Speaker 1: the culture and like part of your life is like 301 00:17:31,520 --> 00:17:37,320 Speaker 1: being sort of naturally like magnetically drawn to fame, Like 302 00:17:37,520 --> 00:17:42,720 Speaker 1: does is there something in her or her mom's mind 303 00:17:42,920 --> 00:17:48,200 Speaker 1: or Pete Davidson's mind where they're like, okay, this relationship 304 00:17:48,320 --> 00:17:52,280 Speaker 1: will hit super hard. So like therefore I am drawn 305 00:17:52,520 --> 00:17:56,439 Speaker 1: like sort of the internalizing of the algorithm as opposed 306 00:17:56,440 --> 00:17:58,760 Speaker 1: to like the algorithm having to tell them what to 307 00:17:58,840 --> 00:18:02,159 Speaker 1: do right, Whereas like normal people are like I'm lonely 308 00:18:02,240 --> 00:18:05,320 Speaker 1: as fun, I like this person and they like me back. 309 00:18:05,480 --> 00:18:08,480 Speaker 1: This is great where but when you're in the public eye, 310 00:18:08,560 --> 00:18:10,960 Speaker 1: that's sort of like these third and fourth layers of 311 00:18:11,000 --> 00:18:12,960 Speaker 1: analysis of like okay, now what does this do with 312 00:18:13,080 --> 00:18:17,320 Speaker 1: my outward persona? Does this benefit me? Okay? Check box? 313 00:18:17,520 --> 00:18:19,719 Speaker 1: That's a step up. Is it gonna get a lot 314 00:18:19,800 --> 00:18:22,879 Speaker 1: of people talking and keep me relevant? Check box? And 315 00:18:22,960 --> 00:18:25,639 Speaker 1: it's like almost the same thing as like are they caring? 316 00:18:26,200 --> 00:18:31,280 Speaker 1: Do they listen? But yeah, I mean what do you 317 00:18:31,359 --> 00:18:34,000 Speaker 1: think they talk about? Though? Like I just don't I 318 00:18:34,080 --> 00:18:38,000 Speaker 1: can't imagine what A I guess they're not having conversation. 319 00:18:38,119 --> 00:18:41,520 Speaker 1: I mean maybe he's really into like legal stuff like 320 00:18:41,640 --> 00:18:45,520 Speaker 1: she is, and they have deep, deep debates over you know, 321 00:18:45,840 --> 00:18:49,000 Speaker 1: the state of like our car sool system and things 322 00:18:49,080 --> 00:18:52,159 Speaker 1: like that. Or maybe they just bone a lot and 323 00:18:52,840 --> 00:18:55,440 Speaker 1: just say I love you and realize in a couple 324 00:18:55,440 --> 00:18:58,280 Speaker 1: of months they actually have nothing in common. I don't know. Yeah, 325 00:18:58,760 --> 00:19:02,320 Speaker 1: I mean they're always doing like I guess by this, 326 00:19:02,520 --> 00:19:04,359 Speaker 1: I mean I've seen one picture of them on a 327 00:19:04,480 --> 00:19:06,399 Speaker 1: roller coaster. So that's a good day to go on 328 00:19:06,520 --> 00:19:08,800 Speaker 1: with someone who you're attracted to, but like don't have 329 00:19:08,880 --> 00:19:11,240 Speaker 1: a ton to like talk about. You just talk about 330 00:19:11,280 --> 00:19:13,359 Speaker 1: the roller coaster that you just went on. That was 331 00:19:13,440 --> 00:19:19,920 Speaker 1: so fun. Yeah, that was fun, right dropped? Yeah, like 332 00:19:20,160 --> 00:19:22,600 Speaker 1: I was. I was like, like on the way up, 333 00:19:22,640 --> 00:19:25,960 Speaker 1: I was less scared, but that when I dropped, that 334 00:19:26,119 --> 00:19:28,119 Speaker 1: was Oh my god, you too write that was that 335 00:19:28,280 --> 00:19:30,119 Speaker 1: That was the part that scared me. And this is 336 00:19:30,119 --> 00:19:31,919 Speaker 1: what I'm saying, like we have so much in common, 337 00:19:32,160 --> 00:19:39,960 Speaker 1: like this is crazy. Sometimes are comic because again, I 338 00:19:39,960 --> 00:19:42,560 Speaker 1: would love to see a posed photo where she's like 339 00:19:42,720 --> 00:19:47,280 Speaker 1: I'm reading Fucal's penju and he second, I've got thoughts too, 340 00:19:47,800 --> 00:19:50,200 Speaker 1: like you know, but I don't know if what you know, 341 00:19:50,600 --> 00:19:52,640 Speaker 1: I don't know that's that's a problem with even trying 342 00:19:52,680 --> 00:19:55,720 Speaker 1: to dissect like these sort of celebrity relationships. But I 343 00:19:55,800 --> 00:19:58,840 Speaker 1: do agree with you, like I'm definitely I'm done talking 344 00:19:58,880 --> 00:20:02,040 Speaker 1: about it. M hm. Yeah. In that sense, that's where 345 00:20:02,160 --> 00:20:07,920 Speaker 1: I feel like still, well, I mean, like when this 346 00:20:08,080 --> 00:20:10,720 Speaker 1: was all in the news last week, apparently Kim had 347 00:20:10,800 --> 00:20:16,760 Speaker 1: like chartered an airplane for the Afghany soccer team to 348 00:20:16,880 --> 00:20:19,879 Speaker 1: go to the UK at this and it's like, but 349 00:20:20,000 --> 00:20:22,560 Speaker 1: that wasn't in the news because like people just wanted 350 00:20:22,600 --> 00:20:25,320 Speaker 1: to talk about Pete Davidson wearing skims for Jama pants. 351 00:20:25,680 --> 00:20:28,200 Speaker 1: But what Kim did was really great, Like that was 352 00:20:28,400 --> 00:20:31,399 Speaker 1: so wonderful that she charted that plane for them. So 353 00:20:31,480 --> 00:20:34,720 Speaker 1: I wonder in that sense if it is real, because 354 00:20:34,760 --> 00:20:36,879 Speaker 1: you're like, it's sucking up the things that Kim is 355 00:20:36,880 --> 00:20:39,159 Speaker 1: trying to like, you know, magnify a little bit more 356 00:20:39,160 --> 00:20:41,480 Speaker 1: about where her career is headed, where she's trying to 357 00:20:41,480 --> 00:20:45,919 Speaker 1: be a little more philanthropic and like activist oriented, when meanwhile, 358 00:20:45,960 --> 00:20:48,480 Speaker 1: it's just like, dude, look at fucking Hickey. He's got 359 00:20:48,600 --> 00:20:53,360 Speaker 1: dude ship and that's all the news. But yeah, good 360 00:20:53,400 --> 00:20:59,200 Speaker 1: point multitudes, right Exactly. It's like I will save these kids, 361 00:20:59,280 --> 00:21:03,880 Speaker 1: and I will eat his neck like a vampire. What's 362 00:21:03,880 --> 00:21:06,639 Speaker 1: something you think is underrated? You know what? I'm like 363 00:21:07,320 --> 00:21:09,960 Speaker 1: not working right now, not working in the conventional sense 364 00:21:10,040 --> 00:21:12,840 Speaker 1: like a lot of l A folks do, And I 365 00:21:12,920 --> 00:21:15,920 Speaker 1: think that's underrated, like this whole Like I'm part of 366 00:21:16,000 --> 00:21:19,240 Speaker 1: this great what were they calling it? The Great Resignation. 367 00:21:19,920 --> 00:21:22,520 Speaker 1: I left my job in March and I've been spending 368 00:21:22,560 --> 00:21:25,720 Speaker 1: the summer just working on a script in a memoir 369 00:21:26,320 --> 00:21:31,359 Speaker 1: and writing and making art, and it's been amazing. I 370 00:21:31,720 --> 00:21:34,520 Speaker 1: highly recommend if you can figure out a way to 371 00:21:34,720 --> 00:21:37,399 Speaker 1: just take advantage of this pandemic in that way, to 372 00:21:37,920 --> 00:21:41,360 Speaker 1: not do anything. It's I don't think we spend enough 373 00:21:41,440 --> 00:21:45,600 Speaker 1: time letting ourselves get bored. As an artist, I feel 374 00:21:45,600 --> 00:21:48,720 Speaker 1: like getting bored is so important for us to let 375 00:21:48,800 --> 00:21:52,399 Speaker 1: our minds wander and work on art and writing or whatever, 376 00:21:53,480 --> 00:21:56,119 Speaker 1: and we're just not giving ourselves the space to do that. 377 00:21:56,320 --> 00:22:01,000 Speaker 1: So getting bored, being creative, taking naps, that is so 378 00:22:01,280 --> 00:22:05,119 Speaker 1: underrated right now, and I'm here for it. I encourage 379 00:22:05,160 --> 00:22:09,400 Speaker 1: everyone to to not have things to do. Ye mean 380 00:22:09,440 --> 00:22:14,720 Speaker 1: to tell you this, Jack, but I'm not doing right now, 381 00:22:15,000 --> 00:22:17,560 Speaker 1: so it might be it I was just reading an 382 00:22:17,640 --> 00:22:20,359 Speaker 1: article things in the American Prospect about, you know, the 383 00:22:20,400 --> 00:22:23,840 Speaker 1: Great Resignation, and sort of the thrust was like that 384 00:22:23,920 --> 00:22:26,680 Speaker 1: there's been a lot of like a lot of explanations 385 00:22:26,840 --> 00:22:29,200 Speaker 1: to say it's because of enhanced benefits, or it's because 386 00:22:29,240 --> 00:22:31,680 Speaker 1: of this, or it's safety or whatever, and then it's like, 387 00:22:32,080 --> 00:22:34,879 Speaker 1: so I decided to like talk to people that actually 388 00:22:36,359 --> 00:22:39,400 Speaker 1: what happened, and it's all like, yo, man, I work 389 00:22:39,440 --> 00:22:42,159 Speaker 1: for fucking pets Smart because I like pets and I 390 00:22:42,240 --> 00:22:44,399 Speaker 1: wanted to be a groomer, and then they fucking had 391 00:22:44,480 --> 00:22:47,960 Speaker 1: me working like seven days of fucking week and also 392 00:22:48,080 --> 00:22:50,560 Speaker 1: like working with dogs who are like like who are 393 00:22:50,880 --> 00:22:53,840 Speaker 1: prone to epileptic like seizures and things that could harm 394 00:22:53,920 --> 00:22:56,080 Speaker 1: the dogs or like make ship sketchy. For me, I 395 00:22:56,200 --> 00:22:59,159 Speaker 1: lost my whole fucking joy issh it. So I had 396 00:22:59,240 --> 00:23:02,680 Speaker 1: to fucking stop because because at that sector, especially when 397 00:23:02,680 --> 00:23:05,320 Speaker 1: you're being paid like lower wages, it just felt like 398 00:23:05,400 --> 00:23:07,600 Speaker 1: I had no time or dignity or nothing. So I'm 399 00:23:07,640 --> 00:23:10,320 Speaker 1: fucking off that and it's like, wow, it's like that. 400 00:23:10,680 --> 00:23:13,520 Speaker 1: So it's like the dignity, it's like the overworking of 401 00:23:13,680 --> 00:23:15,800 Speaker 1: this because a lot of these companies that you think 402 00:23:15,800 --> 00:23:18,000 Speaker 1: of like pet Smart or pet Coke that are sort 403 00:23:18,000 --> 00:23:21,080 Speaker 1: of like publicly owned or traded. It's all the very 404 00:23:21,160 --> 00:23:24,160 Speaker 1: similar ethos of like man, pay these people nothing, get 405 00:23:24,240 --> 00:23:26,040 Speaker 1: the fucking most out of them. It's like, you know, 406 00:23:26,240 --> 00:23:28,000 Speaker 1: just like how Amazon and all, like, you know, it's 407 00:23:28,040 --> 00:23:31,040 Speaker 1: the norm now, and people are really pushing back against that, 408 00:23:31,200 --> 00:23:34,720 Speaker 1: and you know, realizing that life is too precious. And 409 00:23:34,920 --> 00:23:36,880 Speaker 1: for this woman, she's like, I'm starting my own fucking 410 00:23:36,920 --> 00:23:40,000 Speaker 1: grooming business because I don't need to work for them. 411 00:23:40,160 --> 00:23:41,600 Speaker 1: I can do I like this, I'll do it for 412 00:23:41,680 --> 00:23:45,440 Speaker 1: myself and I'll try that at least. So I was 413 00:23:45,520 --> 00:23:50,639 Speaker 1: incredibly burnt out from working in the political movement and 414 00:23:50,720 --> 00:23:54,000 Speaker 1: activism space, and I just, you know, like I'm really 415 00:23:54,080 --> 00:23:57,240 Speaker 1: jealous of people that have access to unions. I, as 416 00:23:57,280 --> 00:24:00,600 Speaker 1: an organizer, didn't have access to a union to fight 417 00:24:00,760 --> 00:24:03,800 Speaker 1: for the things that I needed. Soever. It's just like, 418 00:24:03,880 --> 00:24:06,440 Speaker 1: you know, what's screw it. I'm just gonna take a pause, 419 00:24:06,680 --> 00:24:09,600 Speaker 1: focus on myself and figure out what i want to 420 00:24:09,640 --> 00:24:14,720 Speaker 1: do next. Nice Ministry. I've been following the NAP Ministry 421 00:24:14,840 --> 00:24:18,359 Speaker 1: on Twitter and Instagram. If you don't follow her, She's 422 00:24:18,760 --> 00:24:22,760 Speaker 1: all about resting and I'm all about it, nap ministry 423 00:24:22,840 --> 00:24:27,399 Speaker 1: and a ministry. Have you both not been following her? 424 00:24:27,520 --> 00:24:31,920 Speaker 1: She's amazing. She's been preaching all about like the importance 425 00:24:31,920 --> 00:24:34,800 Speaker 1: of napping. It feels silly, but like she talks about 426 00:24:34,800 --> 00:24:37,200 Speaker 1: in a political perspective, I need to hear the well 427 00:24:37,359 --> 00:24:40,720 Speaker 1: right right right of like how it's I've I've completely 428 00:24:40,800 --> 00:24:44,879 Speaker 1: lost sight of like napping in any way. Yeah, I 429 00:24:45,720 --> 00:24:49,359 Speaker 1: need to Okay, I'm following that now. I mean, to 430 00:24:49,520 --> 00:24:53,120 Speaker 1: this point, I've mostly followed nas on napping. I never 431 00:24:53,240 --> 00:24:56,040 Speaker 1: sleep because sleep is a cousin of death, right, so 432 00:24:56,560 --> 00:25:01,760 Speaker 1: that's it's the unsustainable I've found that version of that 433 00:25:01,840 --> 00:25:06,400 Speaker 1: approach to sleep philosophies. But yeah, I mean this, I'm 434 00:25:06,480 --> 00:25:09,120 Speaker 1: I'm reading this David Grabor book, The Dawn of Everything, 435 00:25:09,480 --> 00:25:14,399 Speaker 1: and it's like a history of a retelling of history 436 00:25:14,440 --> 00:25:20,040 Speaker 1: of like prehistoric humans and also like encounters between you know, 437 00:25:20,119 --> 00:25:23,119 Speaker 1: what's been come to what's come to be called Western 438 00:25:23,240 --> 00:25:27,000 Speaker 1: culture and other cultures and like this version of humanity 439 00:25:27,160 --> 00:25:32,639 Speaker 1: where humans are like deprived of their humanity and like 440 00:25:32,960 --> 00:25:36,800 Speaker 1: and their context and like put into these like market 441 00:25:37,000 --> 00:25:41,159 Speaker 1: systems that like force them to work kind of and 442 00:25:41,320 --> 00:25:43,800 Speaker 1: do things that they don't want to do, Like all 443 00:25:43,840 --> 00:25:47,639 Speaker 1: these things that are absolutely like ingrained into us at 444 00:25:47,680 --> 00:25:50,280 Speaker 1: a very young age as like being just part of 445 00:25:50,440 --> 00:25:56,159 Speaker 1: life are actually like very rare. Uh. And you know, 446 00:25:56,280 --> 00:26:02,080 Speaker 1: when the natives in the America's like interacted with the French, 447 00:26:02,160 --> 00:26:07,280 Speaker 1: they had like very like poetic, insightful, philosophical like critiques 448 00:26:07,560 --> 00:26:13,000 Speaker 1: of American or of French values that like then got 449 00:26:13,359 --> 00:26:16,840 Speaker 1: taken by a bunch of you know, European intellectuals and 450 00:26:16,960 --> 00:26:21,719 Speaker 1: like that became the Enlightenment. But it's largely like they 451 00:26:21,960 --> 00:26:25,200 Speaker 1: they the thing that they did not accept as like 452 00:26:25,359 --> 00:26:34,320 Speaker 1: the idea of ownership of anything like that. Yeah, and 453 00:26:34,400 --> 00:26:36,080 Speaker 1: then if you don't have nothing like you could you 454 00:26:36,160 --> 00:26:38,800 Speaker 1: could be like sucked over, Like that doesn't sound like 455 00:26:38,880 --> 00:26:42,399 Speaker 1: freedom at all. And they're like okay, uh sure, and 456 00:26:42,480 --> 00:26:44,159 Speaker 1: they walked away. They're like, funk, they were right, man, 457 00:26:45,920 --> 00:26:48,640 Speaker 1: let's don't give them credit. Don't give them credit, say 458 00:26:48,680 --> 00:26:51,400 Speaker 1: we thought this. Even the writers at the time would 459 00:26:51,440 --> 00:26:55,280 Speaker 1: give them credit. And then like other Western intellectuals would 460 00:26:55,280 --> 00:26:57,119 Speaker 1: be like, well, they just like said that they got 461 00:26:57,200 --> 00:27:01,600 Speaker 1: those ideas from them, But it's actually like clearly them 462 00:27:01,960 --> 00:27:06,320 Speaker 1: masking those ideas that they have themselves in the mouths 463 00:27:06,480 --> 00:27:09,840 Speaker 1: of the quote savages and the other detail I've talked 464 00:27:09,880 --> 00:27:12,119 Speaker 1: about before, but it was it's just like brought up 465 00:27:12,119 --> 00:27:16,840 Speaker 1: again in this book that anytime you had Western cultures 466 00:27:17,359 --> 00:27:22,320 Speaker 1: interacting with like what they called the savages, the Western like, 467 00:27:22,440 --> 00:27:26,160 Speaker 1: there would be a huge, you know problem for Western 468 00:27:26,480 --> 00:27:30,760 Speaker 1: societies of people fleeing Western cultures and going to live 469 00:27:31,040 --> 00:27:35,760 Speaker 1: with the non Western like what was called going savage. 470 00:27:35,880 --> 00:27:40,040 Speaker 1: But basically, like nobody wanted once they saw the two options. 471 00:27:40,160 --> 00:27:44,480 Speaker 1: Nobody wanted to live in the you know, European culture. 472 00:27:46,040 --> 00:27:49,159 Speaker 1: And the only reason that we ended up with the 473 00:27:49,200 --> 00:27:53,040 Speaker 1: one we've got is because of germs. And that's it. 474 00:27:53,960 --> 00:27:57,760 Speaker 1: It's not because of like some superiority or whatever the 475 00:27:57,840 --> 00:28:00,760 Speaker 1: fuck white supremacists like to believe it was. It was 476 00:28:00,840 --> 00:28:03,600 Speaker 1: really called going savage. Yeah, that's what they call it. 477 00:28:03,680 --> 00:28:07,359 Speaker 1: Like there's this letter Ben Franklin wrote to a friend 478 00:28:08,080 --> 00:28:10,520 Speaker 1: where he was like, we, like the main problem that 479 00:28:10,600 --> 00:28:13,960 Speaker 1: we have in the America's is that it seems like 480 00:28:14,160 --> 00:28:21,960 Speaker 1: nobody who interacts with like native culture or savage culture 481 00:28:22,440 --> 00:28:26,080 Speaker 1: like wants to continue to live amongst us, like they 482 00:28:26,359 --> 00:28:29,000 Speaker 1: it's just a it's a one way street, and we're losing. 483 00:28:29,560 --> 00:28:35,600 Speaker 1: We're losing people constantly and there's no there's nothing happening 484 00:28:35,680 --> 00:28:39,160 Speaker 1: the opposite way, like everybody's just like fuck this. Man, 485 00:28:39,680 --> 00:28:42,160 Speaker 1: Like when they when they get a taste of our life, 486 00:28:42,280 --> 00:28:45,480 Speaker 1: they don't want our Christianity, they don't want our weird 487 00:28:45,680 --> 00:28:51,280 Speaker 1: fucking fiat currencies. What is this? What is the ship? Yeah, 488 00:28:51,640 --> 00:28:57,160 Speaker 1: so love like the hater attitude towards it, like another 489 00:28:57,280 --> 00:29:03,160 Speaker 1: one David with Savage too. We've got a problem, folks. 490 00:29:03,240 --> 00:29:07,000 Speaker 1: We've got a big problem here. Yeah. Like even people 491 00:29:07,080 --> 00:29:10,800 Speaker 1: who were like kidnapped in battle, you know, raised with 492 00:29:11,080 --> 00:29:13,640 Speaker 1: with the tribe that kidnapped them and killed their family, 493 00:29:13,960 --> 00:29:18,760 Speaker 1: they would come back to Western culture and like maybe 494 00:29:18,960 --> 00:29:22,160 Speaker 1: last a year and then just like go back because 495 00:29:22,440 --> 00:29:27,240 Speaker 1: I mean, because it's truly like to wake up. You know, 496 00:29:27,520 --> 00:29:29,480 Speaker 1: in our society, we wake up and the first thing 497 00:29:29,640 --> 00:29:32,800 Speaker 1: is like I have to start doing things to live 498 00:29:33,320 --> 00:29:36,920 Speaker 1: or I will perish, whereas you know, and anything that 499 00:29:37,120 --> 00:29:39,800 Speaker 1: was more communal, it's like, yep, I'm waking up, and 500 00:29:39,880 --> 00:29:42,880 Speaker 1: I know that I'm going to contribute to this group thing, 501 00:29:43,520 --> 00:29:46,400 Speaker 1: and by doing that, I know other people are acting 502 00:29:46,880 --> 00:29:50,080 Speaker 1: in reciprocity that it makes the whole thing work. Because 503 00:29:50,080 --> 00:29:51,600 Speaker 1: we're all kind of on the same page and not 504 00:29:51,720 --> 00:29:54,520 Speaker 1: having to sweat all this other stuff and ship I 505 00:29:54,560 --> 00:29:58,600 Speaker 1: can only imagine how, like, yeah, what what people in 506 00:29:58,680 --> 00:30:01,600 Speaker 1: our current times if we gave people like another way 507 00:30:01,760 --> 00:30:04,320 Speaker 1: or a new way to think about how society could 508 00:30:04,360 --> 00:30:06,440 Speaker 1: function and be curious to see how, you know, how 509 00:30:06,520 --> 00:30:10,040 Speaker 1: those things would move. Although pretty strong media apparatus to 510 00:30:10,120 --> 00:30:11,800 Speaker 1: kind of keep those kinds of ideas out of here, 511 00:30:13,280 --> 00:30:14,800 Speaker 1: do ye know? With all this reminds me of It 512 00:30:14,920 --> 00:30:16,960 Speaker 1: reminds me of those white women that would go to 513 00:30:17,080 --> 00:30:20,320 Speaker 1: India and then they would find like the ricksha driver 514 00:30:20,480 --> 00:30:22,640 Speaker 1: and then get married to the rickshaw driver and then 515 00:30:23,160 --> 00:30:25,920 Speaker 1: they would just move to India permanently. Like it kind 516 00:30:25,960 --> 00:30:29,640 Speaker 1: of reminds me of the hippies, I guess, like the 517 00:30:29,800 --> 00:30:32,080 Speaker 1: hippies from the white hippies from the seventies that would 518 00:30:32,080 --> 00:30:35,120 Speaker 1: go to South Asia. What do you think the appeal 519 00:30:35,280 --> 00:30:39,480 Speaker 1: was for for those women in terms of like what 520 00:30:39,640 --> 00:30:44,160 Speaker 1: the mind means? Yeah, not being a part of Western society. 521 00:30:44,240 --> 00:30:46,840 Speaker 1: I guess. I don't know. I've always like kind of 522 00:30:46,920 --> 00:30:52,000 Speaker 1: been like why but right, Hey, there's a whole like 523 00:30:52,120 --> 00:30:54,480 Speaker 1: ninety day Fiance, right, isn't that show like based on 524 00:30:54,880 --> 00:30:57,000 Speaker 1: this kind of like concept yeah. I mean, there is 525 00:30:57,040 --> 00:31:01,360 Speaker 1: a woman, Jenny, who is trying to marry her Indian husband, 526 00:31:01,600 --> 00:31:05,560 Speaker 1: although he well at every turn find an excuse not 527 00:31:05,720 --> 00:31:09,600 Speaker 1: to marry her. Let's spoiler alert, they do. All right, 528 00:31:09,720 --> 00:31:12,280 Speaker 1: let's take a quick break, and we will come back 529 00:31:12,360 --> 00:31:16,160 Speaker 1: and talk about the pandemic, but probably keep talking about 530 00:31:16,240 --> 00:31:29,600 Speaker 1: these ideas in the context of that. And we're back 531 00:31:30,160 --> 00:31:33,240 Speaker 1: and we are still in the pandemic. It turns out. 532 00:31:33,720 --> 00:31:38,600 Speaker 1: I was feeling very comfortable having you know, the relatives around. 533 00:31:38,960 --> 00:31:42,480 Speaker 1: I got my parents coming out for Christmas. I was like, 534 00:31:42,680 --> 00:31:46,680 Speaker 1: all right, back to normal. But it feels like, you know, 535 00:31:46,920 --> 00:31:51,280 Speaker 1: there's a new variant. Oh micron? Is that am I 536 00:31:51,320 --> 00:31:56,240 Speaker 1: pronouncing that? I'm acron? Oh micron? Oh micron sounds like 537 00:31:56,760 --> 00:32:00,640 Speaker 1: like the it was on the list of nimes that 538 00:32:00,920 --> 00:32:03,640 Speaker 1: the writers of The Terminator of like Jim Cameron put 539 00:32:03,680 --> 00:32:10,600 Speaker 1: together for sky Net. Like, but it's yeah, it's it's new. 540 00:32:10,840 --> 00:32:14,520 Speaker 1: It's highly transmissible, I guess, but we don't really doesn't 541 00:32:14,560 --> 00:32:17,120 Speaker 1: seem like we know that much other than that it's 542 00:32:17,240 --> 00:32:20,400 Speaker 1: out there and spreading. No. I mean, I think the 543 00:32:20,480 --> 00:32:23,200 Speaker 1: only thing that you can say is that there's a 544 00:32:23,240 --> 00:32:28,320 Speaker 1: new variant that does have significant mutations that they're now saying, Okay, 545 00:32:28,360 --> 00:32:31,200 Speaker 1: well we need to watch this because the mutations they're 546 00:32:31,200 --> 00:32:35,320 Speaker 1: saying with that that means does that make it highly transmissible? 547 00:32:35,440 --> 00:32:39,640 Speaker 1: Does that mean it's possible to even evade vaccines? And 548 00:32:39,960 --> 00:32:42,960 Speaker 1: you know that our inoculations might not be enough to 549 00:32:43,040 --> 00:32:46,000 Speaker 1: deal with this new variant. But it all sounds very bad, 550 00:32:46,240 --> 00:32:50,600 Speaker 1: but again we're still very much trying to learn what's 551 00:32:50,600 --> 00:32:52,479 Speaker 1: happening and like what do you think about it? There 552 00:32:52,520 --> 00:32:56,800 Speaker 1: have been many variants of concern that spring up you watch. 553 00:32:57,360 --> 00:32:59,600 Speaker 1: Maybe it is, maybe it isn't, but at the very 554 00:32:59,680 --> 00:33:02,840 Speaker 1: least it's worth you know, obviously for the World Health 555 00:33:02,960 --> 00:33:06,680 Speaker 1: Organization and anyone everyone who's invested from a scientific perspective, 556 00:33:07,000 --> 00:33:09,920 Speaker 1: they're very much looking at this closely. But when you 557 00:33:10,000 --> 00:33:12,640 Speaker 1: look at kind of like what the nations are doing, 558 00:33:13,040 --> 00:33:16,280 Speaker 1: we're kind of making the same shitty mistakes, like over 559 00:33:16,360 --> 00:33:19,800 Speaker 1: and over, these like knee jerk reaction of just saying like, well, 560 00:33:19,880 --> 00:33:24,360 Speaker 1: because they South South Africa identified at first in their laboratory, 561 00:33:24,800 --> 00:33:27,560 Speaker 1: we're just gonna ban everyone from South Africa and surrounding 562 00:33:27,640 --> 00:33:31,960 Speaker 1: countries because that's because they found it. And it's like, okay, 563 00:33:32,120 --> 00:33:34,720 Speaker 1: that's just because there they have the like labs to 564 00:33:34,760 --> 00:33:37,280 Speaker 1: actually look at this stuff, because not to mention, it's 565 00:33:37,280 --> 00:33:40,040 Speaker 1: also been found like in Hong Kong and parts of Europe. 566 00:33:40,440 --> 00:33:42,680 Speaker 1: I think it seems like a natural reaction to try 567 00:33:42,760 --> 00:33:45,080 Speaker 1: and make your country safer by saying like, Okay, well, 568 00:33:45,120 --> 00:33:46,920 Speaker 1: now we gotta huddle up, man, we gotta make sure 569 00:33:47,000 --> 00:33:50,480 Speaker 1: we're watching the exits, making sure we know what's coming 570 00:33:50,520 --> 00:33:54,400 Speaker 1: in or etcetera. For safety. But if it's that serious, 571 00:33:54,840 --> 00:33:57,320 Speaker 1: then like a lot of people are like, why aren't 572 00:33:57,360 --> 00:34:00,840 Speaker 1: you testing inbound passengers from these places first, rather than 573 00:34:00,960 --> 00:34:03,880 Speaker 1: just saying like, oh, it's a full on band, there's 574 00:34:03,920 --> 00:34:05,720 Speaker 1: nothing else we can do. We just gotta stop that. 575 00:34:05,800 --> 00:34:08,319 Speaker 1: If it's that serious, then you should actually be screening 576 00:34:08,400 --> 00:34:12,359 Speaker 1: people who come in at all to understand, Okay, what's 577 00:34:12,360 --> 00:34:16,839 Speaker 1: everyone's relative like risk factor. But again, it just sort 578 00:34:16,880 --> 00:34:20,600 Speaker 1: of makes for good optics, not really good essentially, like 579 00:34:21,280 --> 00:34:23,280 Speaker 1: a real safety it's not going to affect our safety 580 00:34:23,320 --> 00:34:24,840 Speaker 1: because a lot of people pointed out that by the 581 00:34:24,920 --> 00:34:27,440 Speaker 1: time a lot of these sort of travel restrictions go 582 00:34:27,480 --> 00:34:31,360 Speaker 1: into place, it's already in the country. And the biggest 583 00:34:31,400 --> 00:34:33,040 Speaker 1: thing that most people are pointing to is the fact 584 00:34:33,080 --> 00:34:37,200 Speaker 1: that rather than just closing the fucking shop door, Why 585 00:34:37,280 --> 00:34:42,000 Speaker 1: don't you make it fucking rain vaccines on every fucking country, 586 00:34:42,200 --> 00:34:45,480 Speaker 1: because that's really our our way out of this, or 587 00:34:45,560 --> 00:34:48,160 Speaker 1: one of our more potent ways out of this, is 588 00:34:48,200 --> 00:34:51,919 Speaker 1: to make sure that we're we're able to provide vaccinations 589 00:34:52,160 --> 00:34:54,719 Speaker 1: to the developing world rather than treating it like this 590 00:34:55,200 --> 00:34:59,000 Speaker 1: like you know, Petrie dish for mutations. Yeah, it seems 591 00:34:59,000 --> 00:35:01,440 Speaker 1: like if we just mobilized like it was World War Two, 592 00:35:01,600 --> 00:35:03,759 Speaker 1: like we were talking about at the beginning of the pandemic, 593 00:35:03,880 --> 00:35:05,960 Speaker 1: and we're just like, all right, this is every all 594 00:35:06,040 --> 00:35:09,600 Speaker 1: hands on deck, We're all working to you know, do 595 00:35:09,760 --> 00:35:13,400 Speaker 1: whatever we can to get vaccines out. That's that's the 596 00:35:13,440 --> 00:35:16,200 Speaker 1: way to stop this thing. It would save millions and 597 00:35:16,280 --> 00:35:21,000 Speaker 1: millions of lives. And there's just not the will to 598 00:35:21,120 --> 00:35:25,120 Speaker 1: do that, it seems like. And again I think back 599 00:35:25,200 --> 00:35:28,759 Speaker 1: to sort of this idea of how disconnected we are, 600 00:35:29,040 --> 00:35:32,320 Speaker 1: our lack of even like sense of duty to like 601 00:35:32,440 --> 00:35:35,840 Speaker 1: our fellow human beings. It's just sort of, you know, 602 00:35:35,880 --> 00:35:39,560 Speaker 1: it's highlighted with this idea where it's the fucking earth 603 00:35:39,760 --> 00:35:42,360 Speaker 1: is it's just one big fucking cell. And the idea 604 00:35:42,440 --> 00:35:45,080 Speaker 1: that you think you're fucking borders is going to stop anything, 605 00:35:45,239 --> 00:35:48,160 Speaker 1: or you know, the country you're born in is going 606 00:35:48,200 --> 00:35:50,239 Speaker 1: to prevent things. I mean, to a certain extent that might, 607 00:35:50,280 --> 00:35:53,960 Speaker 1: but you know that it runs completely counter to like 608 00:35:54,280 --> 00:35:56,920 Speaker 1: how we're supposed to approach this, that if we're we 609 00:35:57,080 --> 00:36:00,520 Speaker 1: have to mobilize as human beings, then we should be 610 00:36:00,600 --> 00:36:04,319 Speaker 1: making the vaccine as widely available as possible in order 611 00:36:04,400 --> 00:36:08,640 Speaker 1: to begin to protect the individual points of contact like 612 00:36:08,760 --> 00:36:11,320 Speaker 1: that that allow for a virus to spread. But it 613 00:36:11,520 --> 00:36:14,799 Speaker 1: isn't and we're still looking at just this very we're 614 00:36:14,840 --> 00:36:18,640 Speaker 1: just watching greeds sort of dictate how we are prevent 615 00:36:18,800 --> 00:36:21,560 Speaker 1: or even working within the pandemic. And that's why it's like, 616 00:36:21,680 --> 00:36:24,080 Speaker 1: it's so it's such a hard thing to watch too 617 00:36:24,200 --> 00:36:27,759 Speaker 1: because a lot of you know, the the viral virologists 618 00:36:27,760 --> 00:36:31,040 Speaker 1: and epidemiologists are saying, you know, getting as many people 619 00:36:31,120 --> 00:36:34,040 Speaker 1: vaccinated is key, because if you start having these pockets 620 00:36:34,080 --> 00:36:37,120 Speaker 1: where no one's vaccinated, it's just it's a playground for 621 00:36:37,239 --> 00:36:40,640 Speaker 1: mutations that will then render all the all the research 622 00:36:40,800 --> 00:36:44,560 Speaker 1: that was done could be rendered moot because something has 623 00:36:44,640 --> 00:36:47,160 Speaker 1: mutated past the point of like what we've been able 624 00:36:47,200 --> 00:36:50,560 Speaker 1: to counteract with vaccines and things like that, and you know, 625 00:36:50,680 --> 00:36:52,320 Speaker 1: on that tail end of that, while that's just like 626 00:36:52,480 --> 00:36:55,000 Speaker 1: very disconcerting because you're like, oh, God, like is it 627 00:36:55,080 --> 00:36:57,640 Speaker 1: are we going to fully go back? Because you're already 628 00:36:57,640 --> 00:37:00,120 Speaker 1: seeing on conservative media they're like, hey man, and I 629 00:37:00,160 --> 00:37:04,120 Speaker 1: think the Democrats, I think they're behind this, Okay, like 630 00:37:04,280 --> 00:37:06,440 Speaker 1: they've I think they've got something in hand. Or I 631 00:37:06,480 --> 00:37:09,479 Speaker 1: even read stuff from like anti vax people or people 632 00:37:09,520 --> 00:37:12,480 Speaker 1: who are like stealth anti vactors who are like secretly vaccinated. 633 00:37:12,800 --> 00:37:14,799 Speaker 1: They're like seeing stuff like this, you got a new 634 00:37:14,960 --> 00:37:17,920 Speaker 1: variant and now there's gonna there's gotta be more vaccines. 635 00:37:18,040 --> 00:37:20,680 Speaker 1: I mean, come on, what's going on here? And I'm like, 636 00:37:20,800 --> 00:37:24,719 Speaker 1: that's not an argument, really, that's you're just saying the 637 00:37:24,880 --> 00:37:29,319 Speaker 1: idea is inconvenient. But however, you're completely missing the point 638 00:37:29,440 --> 00:37:32,480 Speaker 1: that you're in a situation outside of your control. This 639 00:37:32,640 --> 00:37:35,440 Speaker 1: isn't that someone is saying like, all right, folks, it's 640 00:37:35,480 --> 00:37:37,719 Speaker 1: time for virus season. Now which ones are we going 641 00:37:37,800 --> 00:37:40,279 Speaker 1: to give the people? And then, uh, how can we 642 00:37:40,600 --> 00:37:42,560 Speaker 1: then make the most money off it? Although that is 643 00:37:42,600 --> 00:37:45,239 Speaker 1: a worldview that seems to be pretty popular at the moment, 644 00:37:45,920 --> 00:37:50,960 Speaker 1: the micro chipping of people, the great vaccine. You tell 645 00:37:51,000 --> 00:37:54,120 Speaker 1: me that the flu mutates every year and I need 646 00:37:54,200 --> 00:37:57,880 Speaker 1: a different flu shot every year with Okay, all right, 647 00:37:57,960 --> 00:38:01,239 Speaker 1: George Soros like, no, se I don't like this. I 648 00:38:01,320 --> 00:38:04,799 Speaker 1: don't like this, So then what's your alternative, Sir. I'm 649 00:38:04,880 --> 00:38:07,960 Speaker 1: just not gonna do it, and that's going to protect 650 00:38:08,000 --> 00:38:12,759 Speaker 1: you from the virus, I'm hoping. So I'm hoping if 651 00:38:12,800 --> 00:38:15,880 Speaker 1: I don't agree with the virus, that's enough to protect me. 652 00:38:17,800 --> 00:38:20,520 Speaker 1: So yeah, And it's just it's it's a very again, 653 00:38:20,800 --> 00:38:24,120 Speaker 1: very tenuous situation, and we're constantly reminded. I think we 654 00:38:24,239 --> 00:38:26,360 Speaker 1: have these moments where it's easy to like exhale and 655 00:38:26,440 --> 00:38:28,880 Speaker 1: be like, oh, man, like that's right. I'm I can 656 00:38:28,960 --> 00:38:32,080 Speaker 1: kind of be around my elderly relatives or people with 657 00:38:32,200 --> 00:38:34,239 Speaker 1: like that are immuno suppressed or whatever. I can just 658 00:38:34,440 --> 00:38:38,000 Speaker 1: that it feels a little less risky, and then we're 659 00:38:38,080 --> 00:38:40,080 Speaker 1: kind of right back into like worrying about things. But 660 00:38:40,160 --> 00:38:42,480 Speaker 1: although I think the main thing that experts saying is like, 661 00:38:42,560 --> 00:38:45,320 Speaker 1: please let us do the research. Don't start buying up everything, 662 00:38:45,640 --> 00:38:49,239 Speaker 1: don't start panicking, but we do need to just you know, 663 00:38:49,400 --> 00:38:52,680 Speaker 1: get a handle in the research. Yeah. Yeah, I do 664 00:38:52,800 --> 00:38:57,000 Speaker 1: think that there's like this element of like what's what's real? 665 00:38:57,239 --> 00:39:03,600 Speaker 1: Like we know that the government health officials are using 666 00:39:04,000 --> 00:39:09,719 Speaker 1: the news to spread awareness about vaccines, so like, and 667 00:39:10,080 --> 00:39:11,279 Speaker 1: you have to kind of take it with like a 668 00:39:11,320 --> 00:39:14,239 Speaker 1: little grain of salt, like it's these conversations aren't for 669 00:39:14,360 --> 00:39:16,400 Speaker 1: us people who are vaccinated. They're really trying to like 670 00:39:16,800 --> 00:39:20,280 Speaker 1: scare people who are unvaccinated into getting vaccinated with facts 671 00:39:20,320 --> 00:39:22,600 Speaker 1: and figures and just trying to figure out like how 672 00:39:22,719 --> 00:39:25,680 Speaker 1: else to do it. So I just like, I don't know, 673 00:39:26,960 --> 00:39:28,560 Speaker 1: I mean, it feels really silly to say this way. 674 00:39:28,560 --> 00:39:31,640 Speaker 1: I don't know what is real or like it's been 675 00:39:31,640 --> 00:39:34,279 Speaker 1: such a hard two years of like the up and 676 00:39:34,400 --> 00:39:37,040 Speaker 1: down of like the pin like the virus is awful, 677 00:39:37,120 --> 00:39:38,799 Speaker 1: and then now all of a sudden, like we we're 678 00:39:38,840 --> 00:39:41,360 Speaker 1: not wearing masks, and then we are wearing masks and 679 00:39:41,880 --> 00:39:44,440 Speaker 1: we're traveling and not traveling, and like the whole up 680 00:39:44,480 --> 00:39:47,120 Speaker 1: and down of the past two years has been Yeah, 681 00:39:47,320 --> 00:39:49,600 Speaker 1: it's been hard to figure out like to make the 682 00:39:49,680 --> 00:39:54,359 Speaker 1: proper risk assessments. Sure, yeah, yeah, And it does feel 683 00:39:54,400 --> 00:39:55,680 Speaker 1: like and then you'll go to like you'll even go 684 00:39:55,760 --> 00:39:57,600 Speaker 1: to like a town over and you're like, oh, nobody 685 00:39:57,600 --> 00:40:05,640 Speaker 1: whoars masks here. Yeah, everybody's massed the funk up, And yeah, 686 00:40:05,760 --> 00:40:08,320 Speaker 1: like I think there because they're because everything is so 687 00:40:08,480 --> 00:40:11,320 Speaker 1: fractured if there's no way to have like consistent messaging. 688 00:40:11,360 --> 00:40:13,120 Speaker 1: And then on top of it, yeah, like rightly. So 689 00:40:13,719 --> 00:40:16,120 Speaker 1: it's like, well, the same news channel that's telling me 690 00:40:16,280 --> 00:40:20,719 Speaker 1: that the labor shortage is causing inflation that I completely 691 00:40:20,800 --> 00:40:24,320 Speaker 1: disagree with, is also telling me this other stuff. And 692 00:40:24,400 --> 00:40:27,040 Speaker 1: I'm like, Okay, let me compartmentalize because I don't need 693 00:40:27,120 --> 00:40:29,319 Speaker 1: your take because you're a Wall Street goon and you're 694 00:40:29,320 --> 00:40:31,840 Speaker 1: talking about the economy. Bring the doctor on who's not 695 00:40:31,920 --> 00:40:34,880 Speaker 1: a fucking liar. And then you're like, Okay, I like this, 696 00:40:35,840 --> 00:40:40,319 Speaker 1: this feels good. I trust the science. And luckily there's 697 00:40:40,360 --> 00:40:43,640 Speaker 1: like another recent survey that said, but faith in science 698 00:40:43,680 --> 00:40:47,360 Speaker 1: has grown up very significantly over the last year. So 699 00:40:49,320 --> 00:40:51,040 Speaker 1: I think we're just living in a one of those 700 00:40:51,080 --> 00:40:56,319 Speaker 1: weird places where people like science overall. I think there's 701 00:40:56,320 --> 00:40:58,440 Speaker 1: a lot of gratitude. And then to that point too, 702 00:40:58,600 --> 00:41:01,720 Speaker 1: is you know, there are you therapeutic drugs for COVID 703 00:41:02,280 --> 00:41:05,600 Speaker 1: That seemed very very promising because at this point we've 704 00:41:05,600 --> 00:41:07,319 Speaker 1: all just been sort of like, man, if you get 705 00:41:07,360 --> 00:41:09,279 Speaker 1: it and it's bad enough. There's only so much that 706 00:41:09,400 --> 00:41:12,759 Speaker 1: you can do. But along with like the preventative medicines, 707 00:41:12,840 --> 00:41:16,359 Speaker 1: like through vaccines, they're also now therapeutic drugs that are 708 00:41:17,120 --> 00:41:21,080 Speaker 1: showing some pretty significant results for people, um like you know, 709 00:41:21,239 --> 00:41:23,320 Speaker 1: like when they get a positive test. By taking it, 710 00:41:23,440 --> 00:41:26,719 Speaker 1: it really can lessen the damage that the virus can do. 711 00:41:27,640 --> 00:41:29,920 Speaker 1: So we got it's it's it's up and down, folks 712 00:41:30,320 --> 00:41:32,480 Speaker 1: up and down. H I hope we can figure this 713 00:41:32,560 --> 00:41:37,160 Speaker 1: out sooner than later. Yeah, yeah, can we get to 714 00:41:37,239 --> 00:41:40,560 Speaker 1: that asap? World were just like kind of you know, 715 00:41:40,920 --> 00:41:43,200 Speaker 1: just get rid of the one second I'm trying to 716 00:41:43,280 --> 00:41:45,319 Speaker 1: figure out how to get the funk off this rock. 717 00:41:46,280 --> 00:41:48,919 Speaker 1: Then I'll get back to you. I mean, I knew 718 00:41:48,920 --> 00:41:51,879 Speaker 1: we were in trouble when we lost Russell Brand. Did 719 00:41:51,920 --> 00:41:55,279 Speaker 1: you guys hear this? He's an antibax right now? Oh man, 720 00:41:55,520 --> 00:41:59,200 Speaker 1: he's so cool, that guy. I mean, he doesn't give 721 00:41:59,200 --> 00:42:03,120 Speaker 1: a funk about and anything. So it's like, what, alright, 722 00:42:03,360 --> 00:42:06,080 Speaker 1: let's uh, let's take a quick break. We'll be right back, 723 00:42:16,440 --> 00:42:19,000 Speaker 1: and we're back and we do you know, we were 724 00:42:19,000 --> 00:42:23,439 Speaker 1: talking about how Matthew McConaughey was pulling better than either 725 00:42:23,880 --> 00:42:29,600 Speaker 1: candidate in the Texas governor's race, and he had voiced, 726 00:42:30,000 --> 00:42:34,880 Speaker 1: you know, interest in running for governor. It feels very 727 00:42:34,960 --> 00:42:40,520 Speaker 1: much like, you know, if he was flirting with somebody, 728 00:42:41,080 --> 00:42:43,440 Speaker 1: like just in a friendly way and they were like, 729 00:42:43,480 --> 00:42:49,520 Speaker 1: we're gonna get married, like he loves me. Yeah. It's 730 00:42:49,600 --> 00:42:53,240 Speaker 1: just like, you know, politics is like the star power 731 00:42:53,400 --> 00:42:56,919 Speaker 1: here is off the charts. Let's he's into it. Let's 732 00:42:56,960 --> 00:42:58,640 Speaker 1: get him in Let's get him in here. And he 733 00:42:58,800 --> 00:43:00,919 Speaker 1: was just like, oh no, sorry, I was. I wasn't 734 00:43:01,000 --> 00:43:03,520 Speaker 1: serious about that. It is basically where we're at. Yeah, 735 00:43:03,840 --> 00:43:06,359 Speaker 1: he I think while many were like, oh wow, look 736 00:43:06,400 --> 00:43:09,000 Speaker 1: at that. He's putting a smash on Greg Abbott, he 737 00:43:09,239 --> 00:43:13,640 Speaker 1: definitely he had to announce, okay that he's as much 738 00:43:13,719 --> 00:43:17,120 Speaker 1: as y'all wanted it, he might not be able to deliver. 739 00:43:17,280 --> 00:43:20,120 Speaker 1: He just tweeted from his Twitter account an American flag 740 00:43:20,160 --> 00:43:25,279 Speaker 1: emoji with this video clip, Hey everybody, mcca hey here, let'sen. 741 00:43:25,320 --> 00:43:27,520 Speaker 1: Over the past two years, I've been working on the 742 00:43:27,600 --> 00:43:29,680 Speaker 1: answer to the question of how I can be most 743 00:43:29,800 --> 00:43:33,160 Speaker 1: useful in this life going forward, Useful to myself, used 744 00:43:33,200 --> 00:43:35,279 Speaker 1: looked to my family, and to the most amount of people. 745 00:43:36,120 --> 00:43:39,560 Speaker 1: One category of service I've been exploring his politics. I've 746 00:43:39,560 --> 00:43:42,279 Speaker 1: been considering a run for the governor of Texas. I've 747 00:43:42,320 --> 00:43:45,760 Speaker 1: been listening, I've been learning and measuring, been studying Texas 748 00:43:45,840 --> 00:43:50,520 Speaker 1: politics and American politics. What have I learned a lot? 749 00:43:51,840 --> 00:43:55,880 Speaker 1: That we have some problems we need to fix that 750 00:43:56,000 --> 00:44:01,239 Speaker 1: are politics needs a new purpose. We have divibes that 751 00:44:01,400 --> 00:44:04,840 Speaker 1: need healing. Okay, I mean with trust in our lives, 752 00:44:06,600 --> 00:44:10,640 Speaker 1: shining a light on our ship, the cross party lines, 753 00:44:10,719 --> 00:44:14,320 Speaker 1: the ones that build bridges instead of burn him, but 754 00:44:14,440 --> 00:44:19,720 Speaker 1: our children, Margaret's asset. So hey, let's because good apparents 755 00:44:19,760 --> 00:44:23,600 Speaker 1: as we can be Okay, all right? Anyway, so all 756 00:44:23,680 --> 00:44:28,279 Speaker 1: that to say like that, that's a three minute long video. 757 00:44:28,400 --> 00:44:30,960 Speaker 1: Does he eventually say, but I'm not going to run? 758 00:44:31,120 --> 00:44:34,160 Speaker 1: What is all that to be? Like? But I'm off 759 00:44:34,239 --> 00:44:38,000 Speaker 1: this look, And I think that's what we should I 760 00:44:38,040 --> 00:44:41,280 Speaker 1: think we should have expected nothing less from Matthew McConaughey 761 00:44:41,440 --> 00:44:44,960 Speaker 1: because he loves the monologue. He loves the monologue, which 762 00:44:45,000 --> 00:44:47,480 Speaker 1: I'm also surprised. That's all you get to do when 763 00:44:47,480 --> 00:44:51,279 Speaker 1: you're politician, right, that's what he thought he would only 764 00:44:51,400 --> 00:44:54,239 Speaker 1: get to do, is is the governor though? You know? Right? 765 00:44:54,320 --> 00:44:56,200 Speaker 1: And then the second, he's like, he's like, I don't know, 766 00:44:56,320 --> 00:44:58,960 Speaker 1: I feel like people should decide if they want the vaccine, 767 00:44:59,000 --> 00:45:02,120 Speaker 1: but like, what the fun are you talking abou? All right? Um? 768 00:45:03,360 --> 00:45:06,399 Speaker 1: Not just it's not just one way monologue like I thought. 769 00:45:06,640 --> 00:45:08,600 Speaker 1: So yeah, all that to say is he was just saying, 770 00:45:08,719 --> 00:45:11,640 Speaker 1: you know, he's a simple man and you want he 771 00:45:11,760 --> 00:45:15,960 Speaker 1: considered the path of political leadership and it's humbling, but 772 00:45:16,239 --> 00:45:19,160 Speaker 1: he's deciding to not take it at this moment um. 773 00:45:20,000 --> 00:45:22,360 Speaker 1: So he's not going to be throwing his sweat soaked 774 00:45:22,440 --> 00:45:26,560 Speaker 1: workout bandana into the ring. Do we think that his 775 00:45:27,000 --> 00:45:28,800 Speaker 1: people that were behind him are going to go to 776 00:45:29,160 --> 00:45:36,800 Speaker 1: bath Beato? Beato definitely had worse numbers against him, so 777 00:45:37,239 --> 00:45:40,239 Speaker 1: that could suggest that there's like more room to grow 778 00:45:40,520 --> 00:45:44,040 Speaker 1: with McConaughey leaving the race. But it also feels like, 779 00:45:45,000 --> 00:45:47,439 Speaker 1: I mean, like, hey, look, he tried, man, he tried. 780 00:45:47,520 --> 00:45:50,719 Speaker 1: Beto tried. I don't know if there's he's going to 781 00:45:50,800 --> 00:45:55,680 Speaker 1: get some better strategic behind his campaign to try and make, 782 00:45:56,080 --> 00:45:58,400 Speaker 1: you know, get a different result. But I mean it 783 00:45:58,800 --> 00:46:02,919 Speaker 1: feels like I think you've we've we've rang that rag dry. 784 00:46:03,520 --> 00:46:05,719 Speaker 1: Whatever you're gonna get out of Beto ork In terms 785 00:46:05,760 --> 00:46:08,960 Speaker 1: of you know, his his ability to like win in Texas. 786 00:46:09,040 --> 00:46:11,600 Speaker 1: I know a lot of people support him, but it 787 00:46:11,719 --> 00:46:15,360 Speaker 1: just seems like there may maybe some newer ideas. I 788 00:46:15,440 --> 00:46:18,600 Speaker 1: don't know, Yeah, I think generally that's just the problem 789 00:46:18,840 --> 00:46:22,479 Speaker 1: with people running Democrats is like it's there's there aren't 790 00:46:22,480 --> 00:46:26,680 Speaker 1: many exciting like you know, in terms of like spotlighted candidates, 791 00:46:27,239 --> 00:46:29,920 Speaker 1: there's not a lot that you're like, oh, maybe that 792 00:46:30,120 --> 00:46:32,440 Speaker 1: got to know, it seems to be coming from like 793 00:46:32,520 --> 00:46:36,240 Speaker 1: the newer generation of younger politicians that have like something 794 00:46:36,280 --> 00:46:39,080 Speaker 1: a little bit different to offer. Well, who who else 795 00:46:39,200 --> 00:46:41,600 Speaker 1: is running? Right? This is the selection is gonna the 796 00:46:41,640 --> 00:46:45,880 Speaker 1: primary is gonna be marched first next year. Yeah, I 797 00:46:45,960 --> 00:46:48,680 Speaker 1: mean I think it's gonna be Beto or Abbott. And 798 00:46:49,160 --> 00:46:52,000 Speaker 1: you know, as a podcast, we haven't decided who we're 799 00:46:52,040 --> 00:46:57,160 Speaker 1: going to officially endorsed indoors there. Yeah, I mean it's like, 800 00:46:57,680 --> 00:47:01,840 Speaker 1: you know, Beto obviously the less or of two evils, 801 00:47:02,239 --> 00:47:05,600 Speaker 1: the far lesser of two evils. So hopefully people do 802 00:47:06,040 --> 00:47:08,439 Speaker 1: kind of get in line behind him. I just don't 803 00:47:08,480 --> 00:47:12,040 Speaker 1: know like how much enthusiasm there's going to be for 804 00:47:13,200 --> 00:47:15,320 Speaker 1: him at this point. But I mean, I don't know 805 00:47:15,480 --> 00:47:20,640 Speaker 1: if uh, let's see, I think is Jolie and cashtro my, 806 00:47:20,760 --> 00:47:24,920 Speaker 1: how don't he might run? Okay? So I mean, you know, 807 00:47:25,200 --> 00:47:27,120 Speaker 1: he used to be the mayor of San Antonio. I 808 00:47:27,160 --> 00:47:29,759 Speaker 1: think he might have a He might who knows he 809 00:47:29,800 --> 00:47:32,920 Speaker 1: could have a good shot. It's I think when you 810 00:47:33,000 --> 00:47:36,040 Speaker 1: just look at sort of the politics there and like 811 00:47:36,200 --> 00:47:38,359 Speaker 1: the way campaigns are going to be running, it's hard 812 00:47:38,400 --> 00:47:41,719 Speaker 1: to really imagine, like rhetorically, what this thing is gonna 813 00:47:41,760 --> 00:47:43,600 Speaker 1: look like and who's going to be best suited when 814 00:47:43,600 --> 00:47:47,759 Speaker 1: you're like when you're debating someone who's like books make 815 00:47:47,920 --> 00:47:53,560 Speaker 1: little white kids feel bad? Change my mind? And you 816 00:47:53,640 --> 00:47:56,680 Speaker 1: know that's sort of where the limits are of the discourse. Yeah, 817 00:47:57,320 --> 00:47:59,279 Speaker 1: I mean, as important as that race says, we do 818 00:47:59,480 --> 00:48:02,640 Speaker 1: have to move on to an even more important state 819 00:48:02,800 --> 00:48:08,400 Speaker 1: based competition, and that is, of course America's favorite Christmas candy, 820 00:48:08,840 --> 00:48:11,360 Speaker 1: brought to you by Candy Store dot Com. It is 821 00:48:11,440 --> 00:48:20,719 Speaker 1: a you know, another one of those sound it's a 822 00:48:20,760 --> 00:48:23,800 Speaker 1: bad map. Fuck these maps. There's something that I probably 823 00:48:23,800 --> 00:48:27,160 Speaker 1: couldn't say if it was spawn con but candy store 824 00:48:27,200 --> 00:48:30,520 Speaker 1: dot Com fuck them. Yeah, and here's our favorite candy. 825 00:48:30,840 --> 00:48:33,359 Speaker 1: But you guys probably go to the page rather than 826 00:48:33,640 --> 00:48:36,279 Speaker 1: and again, I sound like I'm just go to the 827 00:48:36,360 --> 00:48:38,560 Speaker 1: page and when they ask for your information, just like, 828 00:48:38,760 --> 00:48:41,799 Speaker 1: don't that you can trust them, Just surrender it. Yeah, 829 00:48:42,480 --> 00:48:46,640 Speaker 1: but it's uh, they did ask twenty three thousand people 830 00:48:47,080 --> 00:48:50,879 Speaker 1: from across America what their favorite candy was and then 831 00:48:51,160 --> 00:48:54,280 Speaker 1: you know, organize that data based on state cross reference, 832 00:48:54,320 --> 00:48:57,920 Speaker 1: sit with manufacturer candy manufacturers to make sure sales back 833 00:48:58,000 --> 00:49:02,640 Speaker 1: up the findings, and it's you know, it does feel 834 00:49:02,800 --> 00:49:05,600 Speaker 1: like it's a little bit more like rather than the 835 00:49:05,640 --> 00:49:08,560 Speaker 1: one the ones where every state has a different like 836 00:49:09,200 --> 00:49:12,440 Speaker 1: candy that they like, which I feel like they it 837 00:49:12,560 --> 00:49:15,200 Speaker 1: has been edited in order to make it as interesting 838 00:49:15,239 --> 00:49:20,719 Speaker 1: as possible. Here, like it's the answers are pretty like 839 00:49:21,040 --> 00:49:25,919 Speaker 1: appropriately boring. It's yeah, peppermint bark is like not is king? 840 00:49:26,320 --> 00:49:29,920 Speaker 1: Peppermint bark is king? Yeah, I like that it is. 841 00:49:30,880 --> 00:49:33,680 Speaker 1: It feels like things if you went to the store 842 00:49:33,840 --> 00:49:36,879 Speaker 1: in the candy like Christmas candy section, it's like these 843 00:49:36,960 --> 00:49:39,200 Speaker 1: seven things that you're used to seeing because like some 844 00:49:39,280 --> 00:49:41,719 Speaker 1: of the other maps, like what's there's favorite thanks Giving 845 00:49:41,800 --> 00:49:44,759 Speaker 1: side and there's like these wild esoterrotories like me and 846 00:49:44,880 --> 00:49:47,640 Speaker 1: they like candy pigs hooves and you're like what the 847 00:49:47,840 --> 00:49:51,279 Speaker 1: fund is that even real? This definitely feels like a 848 00:49:51,480 --> 00:49:55,520 Speaker 1: CBS aisle or a while aile of candy, because like 849 00:49:55,560 --> 00:49:58,600 Speaker 1: I think there's there's something that are missing, like why 850 00:49:58,719 --> 00:50:00,840 Speaker 1: is fudging not on here? Like I feel like, you know, 851 00:50:01,080 --> 00:50:04,719 Speaker 1: Holiday fied with peppermint bark, but that's not something you 852 00:50:04,800 --> 00:50:08,279 Speaker 1: get it. The main ones you see are like Reese's cups, Sure, 853 00:50:08,680 --> 00:50:13,560 Speaker 1: Reese's pieces like in the little or sorry, Rece's pecan 854 00:50:14,320 --> 00:50:17,160 Speaker 1: uh in like a candy cane form like a plastic 855 00:50:17,280 --> 00:50:22,000 Speaker 1: cone cane or cane. Then like the Holiday colored Hershey kisses. 856 00:50:22,600 --> 00:50:25,040 Speaker 1: This all ship that's normal, and the candy canes like 857 00:50:25,120 --> 00:50:27,239 Speaker 1: whatever that's like. When I was a kid, I used 858 00:50:27,239 --> 00:50:28,760 Speaker 1: to like him because I was like a free sugar 859 00:50:28,880 --> 00:50:31,000 Speaker 1: that you could find, like available at a store. But 860 00:50:31,080 --> 00:50:33,520 Speaker 1: it always remains me too much a toothpaste. It was 861 00:50:33,600 --> 00:50:37,040 Speaker 1: just like, what what this is like a toothpaste popsicle? 862 00:50:39,239 --> 00:50:42,120 Speaker 1: Oh look they just hardened this toothpaste and put a 863 00:50:42,160 --> 00:50:44,840 Speaker 1: little candy swirl around it. They got me. It's like toothpaste, 864 00:50:44,880 --> 00:50:47,680 Speaker 1: except it rots your teeth instead of cleaning them. My 865 00:50:47,840 --> 00:50:52,480 Speaker 1: theory is that they that peppermint bark has is they 866 00:50:52,920 --> 00:50:56,319 Speaker 1: called it like the hard charging Peppermint Bark because it's 867 00:50:56,360 --> 00:50:59,120 Speaker 1: like taking over a bunch of states that used to 868 00:50:59,160 --> 00:51:04,439 Speaker 1: be Reese's Cup strongholds. And they're saying that like it's 869 00:51:04,520 --> 00:51:07,960 Speaker 1: the biggest grower, and I'm I'm wondering if it's because 870 00:51:08,120 --> 00:51:11,000 Speaker 1: they have all this equipment to make candy canes, but 871 00:51:11,200 --> 00:51:14,440 Speaker 1: like most of the country has found out that there's 872 00:51:14,480 --> 00:51:17,560 Speaker 1: other candy besides candy canes, Like they don't think that 873 00:51:17,680 --> 00:51:20,120 Speaker 1: that's the only Christmas candy. So they're like, all right, 874 00:51:20,160 --> 00:51:23,000 Speaker 1: what if we dropped it and then just like picked 875 00:51:23,040 --> 00:51:26,440 Speaker 1: up the pieces and gluted onto like some low quality chocolate, 876 00:51:26,960 --> 00:51:29,640 Speaker 1: Like that's how you got something. I like Peppermint Park. 877 00:51:29,760 --> 00:51:32,440 Speaker 1: It's funny because I I haven't had the first time 878 00:51:32,480 --> 00:51:34,719 Speaker 1: I had it was like seven years ago. Yeah, it's 879 00:51:36,440 --> 00:51:39,000 Speaker 1: I was pretty ignorant to the Peppermint Park game. It's 880 00:51:39,000 --> 00:51:42,360 Speaker 1: a new kid. Yeah, but it's like, can we talked 881 00:51:42,400 --> 00:51:46,200 Speaker 1: about the reindeer corn? That's honestly, yeah, that's the one 882 00:51:46,400 --> 00:51:49,719 Speaker 1: weird one. It's so weird. It's like candy I've never 883 00:51:49,840 --> 00:51:53,680 Speaker 1: heard of candy corn in Christmas colors? Yeah, which is 884 00:51:53,719 --> 00:51:57,360 Speaker 1: what this is. The Deep South is having a is 885 00:51:57,440 --> 00:52:01,120 Speaker 1: having a tough go here on this map, got Louisiana 886 00:52:01,160 --> 00:52:05,719 Speaker 1: and Oklahoma are both candy cane strongholds, like one of 887 00:52:05,800 --> 00:52:09,719 Speaker 1: the few. And then you've got reindeer corn number one 888 00:52:09,760 --> 00:52:14,479 Speaker 1: in Alabama. Reindeer corn is candy corn with different food 889 00:52:14,560 --> 00:52:18,600 Speaker 1: color and just a red green lie lie. I mean, 890 00:52:19,120 --> 00:52:21,040 Speaker 1: although we're just looking at green and red m and 891 00:52:21,200 --> 00:52:25,759 Speaker 1: m's and actually it's a completely different. So okay, fair played, 892 00:52:25,840 --> 00:52:28,640 Speaker 1: fair played reindeer corn. I can't hate totally, but yeah, 893 00:52:28,680 --> 00:52:32,439 Speaker 1: it looks not good. Also, Florida, what are you doing? 894 00:52:33,080 --> 00:52:37,560 Speaker 1: I mean the holiday skittles Holiday mixed skittles, which what 895 00:52:37,800 --> 00:52:40,600 Speaker 1: that is? Something I did not I was not aware existed. 896 00:52:40,920 --> 00:52:43,279 Speaker 1: I don't know, Like what is a holiday So? Is 897 00:52:43,320 --> 00:52:47,480 Speaker 1: it like apples and like oranges and pairs, like the 898 00:52:47,600 --> 00:52:50,280 Speaker 1: things that you get in like a fruit gift basket 899 00:52:50,400 --> 00:52:53,040 Speaker 1: or something like? What what is a holiday skittles mix 900 00:52:53,840 --> 00:52:58,320 Speaker 1: it is? I don't know. I think it could just 901 00:52:58,440 --> 00:53:05,360 Speaker 1: be a different um colors. Okay, it's a Christmas flavored now, okay. 902 00:53:05,400 --> 00:53:15,640 Speaker 1: So flavors include banana berry, gross Kiwi lime, no thank you, Mango, TAngelo, pineapple, passion, fruit, strawberry, star, 903 00:53:15,719 --> 00:53:19,000 Speaker 1: fruit berry punch melonberry, raspberry, strawberry, and wild cherry. So 904 00:53:19,440 --> 00:53:21,319 Speaker 1: there's a lot going on there. So it's like from 905 00:53:21,360 --> 00:53:23,480 Speaker 1: the Blue pack, right, isn't that? Aren't those the blue 906 00:53:23,520 --> 00:53:27,560 Speaker 1: Skittles flavors? From the Blue pouch? Okay, so you know 907 00:53:27,680 --> 00:53:29,879 Speaker 1: what this is. I was that I was actually reading 908 00:53:29,920 --> 00:53:34,440 Speaker 1: a Skittles mashups wild berry and tropical candy. So ignore 909 00:53:35,080 --> 00:53:37,800 Speaker 1: everything I just said, but don't edit it out, please. 910 00:53:38,080 --> 00:53:42,600 Speaker 1: It's important to me that everybody here how stupid I am. Okay. 911 00:53:44,280 --> 00:53:48,320 Speaker 1: It also looks like has Haez has made the list? 912 00:53:49,480 --> 00:53:53,800 Speaker 1: Oh where they Who's pets? Uh? Their second and third 913 00:53:54,160 --> 00:53:58,719 Speaker 1: in Louisiana, New Mexico, New Jersey. I gotta say I 914 00:53:58,880 --> 00:54:01,440 Speaker 1: was a big Pezz fan growing up. This is a 915 00:54:01,520 --> 00:54:05,839 Speaker 1: great stocking stuffer. Yeah. Yeah. I like pez because it's 916 00:54:05,880 --> 00:54:07,640 Speaker 1: like it was like a toy, you know what I mean, 917 00:54:07,760 --> 00:54:09,799 Speaker 1: Like it was the closest thing because you'd be like, oh, ship, 918 00:54:09,960 --> 00:54:15,960 Speaker 1: look it's sucking Superman or fucking Gumby. Yeah. I think 919 00:54:16,000 --> 00:54:18,000 Speaker 1: that I have a Gumby pest dispense. Anyway, all that 920 00:54:18,120 --> 00:54:21,000 Speaker 1: to say, that's like these kinds of candies, though, I 921 00:54:21,080 --> 00:54:24,160 Speaker 1: feel like chocolate should be king of the Holidays. But 922 00:54:24,480 --> 00:54:29,440 Speaker 1: I'm very biased. Okay, so what are your favorite holiday candies? 923 00:54:31,400 --> 00:54:36,640 Speaker 1: Many Reese's Cups, Reese's pecs, any any eminem Do they 924 00:54:36,680 --> 00:54:40,160 Speaker 1: have to be in that like triangle like like the 925 00:54:40,440 --> 00:54:44,040 Speaker 1: tree or do you like just generic circle? Oh yeah, 926 00:54:45,440 --> 00:54:48,080 Speaker 1: you need actually take the little and take the little 927 00:54:48,120 --> 00:54:51,399 Speaker 1: mini cups and build a life size Christmas tree out 928 00:54:51,400 --> 00:54:54,440 Speaker 1: of them and then just eat it as fast as 929 00:54:54,480 --> 00:54:58,240 Speaker 1: I possibly can, bit by bit. I love like Peppermint Bark. 930 00:54:59,000 --> 00:55:00,960 Speaker 1: I'll eat that ship all day because it reminds me 931 00:55:01,040 --> 00:55:06,440 Speaker 1: like Andy's chocolate. Yeah, that's and I think as a 932 00:55:06,520 --> 00:55:09,840 Speaker 1: kid that was like my favorite little kind of you know, 933 00:55:10,840 --> 00:55:13,080 Speaker 1: rapper chocolate that you could get with like at someone's 934 00:55:13,120 --> 00:55:16,040 Speaker 1: house or whatever, at a grandparents home. So yeah, Peppermint 935 00:55:16,080 --> 00:55:18,480 Speaker 1: Bark involks that. I'm also I like thin mint, so 936 00:55:18,800 --> 00:55:20,960 Speaker 1: like you know, mint chocolate chip ice cream. Whenever you're 937 00:55:21,200 --> 00:55:25,120 Speaker 1: mashing mint and chocolate together, I'm I'm I'm, I'm here 938 00:55:25,200 --> 00:55:27,720 Speaker 1: for it. You know who is fucking up is Andy's 939 00:55:27,760 --> 00:55:30,879 Speaker 1: and whoever's in charge of their marketing, because Andy's should 940 00:55:30,920 --> 00:55:33,320 Speaker 1: be here instead of Peppermint park or and he should 941 00:55:33,400 --> 00:55:38,279 Speaker 1: have Peppermint Bark exactly should York peppermint patties be here. 942 00:55:38,520 --> 00:55:43,360 Speaker 1: Yeah they're Yah York and Andy's they need to be like, 943 00:55:43,680 --> 00:55:47,239 Speaker 1: you know, squat up and then pull up to Peppermint 944 00:55:47,280 --> 00:55:50,439 Speaker 1: Bark's house and just spray the ship out that place, 945 00:55:50,719 --> 00:55:52,000 Speaker 1: you know what, I mean, to let him know it's war. 946 00:55:52,480 --> 00:55:55,560 Speaker 1: So I'm I'm Arkansas has a new winner and it 947 00:55:55,719 --> 00:56:03,160 Speaker 1: is Starburst Mary Mix. Cherry Cheer and Strawberry blitz In 948 00:56:03,360 --> 00:56:06,960 Speaker 1: are the two flavors. And it's all red and green. 949 00:56:07,480 --> 00:56:12,439 Speaker 1: Just added a word to the regular flavor and the green. 950 00:56:12,880 --> 00:56:15,520 Speaker 1: Come on, y'all, what are you doing here? I mean, look, 951 00:56:15,600 --> 00:56:20,000 Speaker 1: it's all marketing, but Peppermint Bark number one. Yeah, well, 952 00:56:20,239 --> 00:56:24,080 Speaker 1: shout out to Peppermint Bark and and you know whatever. 953 00:56:24,160 --> 00:56:27,560 Speaker 1: A candy executive was like dropped a can through a 954 00:56:27,640 --> 00:56:31,440 Speaker 1: candy cane and fury at how bad sales had become 955 00:56:31,920 --> 00:56:35,320 Speaker 1: and then like saw the shattered pieces and we're like, everybody, 956 00:56:35,400 --> 00:56:39,760 Speaker 1: sit down. I got an idea. Sounds like it sounds 957 00:56:39,800 --> 00:56:42,960 Speaker 1: like a plot to a Hallmark Christmas movie. Yeah right, 958 00:56:43,040 --> 00:56:47,160 Speaker 1: I mean, Miles, how are you doing? By the way, 959 00:56:47,200 --> 00:56:50,279 Speaker 1: I feel like I like I fall I'm falling down 960 00:56:50,320 --> 00:56:53,080 Speaker 1: on the job asking you this late in our first 961 00:56:53,160 --> 00:56:56,040 Speaker 1: post Thanksgiving episode, How are you feeling about the coming 962 00:56:56,440 --> 00:56:59,920 Speaker 1: Hallmark Christmas movie season coming? It's been happening for the 963 00:57:00,000 --> 00:57:02,960 Speaker 1: past month. I haven't really I haven't checked out the 964 00:57:03,000 --> 00:57:07,239 Speaker 1: Hallmark stuff. I started off by trawling Netflix for the 965 00:57:07,360 --> 00:57:10,120 Speaker 1: ones Netflix has made. I watched The Prince that Christmas 966 00:57:10,160 --> 00:57:14,080 Speaker 1: Switched three with Vanessa Hudgens a little. It's just you 967 00:57:14,160 --> 00:57:16,160 Speaker 1: know that one's getting away from him, you know. I 968 00:57:16,200 --> 00:57:18,720 Speaker 1: hate to hate to say that one's gotten completely away 969 00:57:18,760 --> 00:57:20,640 Speaker 1: from I don't know what the point is of it 970 00:57:20,760 --> 00:57:22,960 Speaker 1: and how it relates to Christmas. I watched the other 971 00:57:23,040 --> 00:57:30,200 Speaker 1: one with Jimmy oh Yang and Nina Dobrev kind of 972 00:57:30,280 --> 00:57:33,040 Speaker 1: bailed on it, like I do if I'm not working 973 00:57:33,120 --> 00:57:34,600 Speaker 1: with it. By the end of the second act, I'm like, 974 00:57:34,640 --> 00:57:36,000 Speaker 1: I don't even need to see a third act. I'm 975 00:57:36,040 --> 00:57:39,080 Speaker 1: off because I just like the vibes. And then I 976 00:57:39,160 --> 00:57:42,920 Speaker 1: watched another one that was about Santa's daughter who avoid 977 00:57:43,200 --> 00:57:47,400 Speaker 1: This one was well Santa's daughter. It's like treated like 978 00:57:47,480 --> 00:57:50,800 Speaker 1: a Shakespearean thing, where like they have to like she's 979 00:57:50,800 --> 00:57:55,760 Speaker 1: almost being betrothed to the Jack Frost family in order 980 00:57:55,840 --> 00:57:59,040 Speaker 1: for Santa and Frost to like have a tight bond, 981 00:57:59,440 --> 00:58:01,880 Speaker 1: but then there was also like talk of like teaming 982 00:58:01,960 --> 00:58:04,560 Speaker 1: up with the tooth Fairy. It was a very bizarre thing. 983 00:58:04,600 --> 00:58:06,680 Speaker 1: So her solution is just to go to college and 984 00:58:06,720 --> 00:58:08,680 Speaker 1: trying to be a regular person. Got it, Got it, 985 00:58:09,040 --> 00:58:12,480 Speaker 1: And that one was super all over the place. But overall, yeah, 986 00:58:12,640 --> 00:58:14,600 Speaker 1: I'm I'm fully in it. Is there are there any 987 00:58:14,640 --> 00:58:17,840 Speaker 1: good Hallmark ones tests coming out? Yeah? I just watched 988 00:58:18,280 --> 00:58:23,080 Speaker 1: the first Indian full cast one last night. It's called 989 00:58:23,320 --> 00:58:26,640 Speaker 1: what was called Baking Spirits Bright and it's about like 990 00:58:26,760 --> 00:58:30,880 Speaker 1: this like South Indian woman who's making her mom, sorry 991 00:58:31,160 --> 00:58:35,200 Speaker 1: her nannies plumb fruitcake and so they have this whole 992 00:58:35,240 --> 00:58:39,000 Speaker 1: like fruitcake business. Um, I don't know, I'm I'm obviously 993 00:58:39,480 --> 00:58:41,960 Speaker 1: for people that know, like I'm really into Hallmark movies 994 00:58:42,040 --> 00:58:44,840 Speaker 1: for I don't know why. And it was it was 995 00:58:44,920 --> 00:58:50,800 Speaker 1: cool to finally see representation homework. There's usually more representation 996 00:58:50,840 --> 00:58:54,280 Speaker 1: in Lifetime Christmas movies than homework, but it's been cool 997 00:58:54,400 --> 00:58:57,720 Speaker 1: that one was Okay. There's also like Boyfriends of Christmas 998 00:58:57,760 --> 00:59:02,240 Speaker 1: Past with as an Asian American female protagonist and her 999 00:59:02,480 --> 00:59:05,920 Speaker 1: love and triests are all multiple racist, so that was 1000 00:59:05,960 --> 00:59:08,400 Speaker 1: also cool. Yeah, that's like the one with the Jimmy 1001 00:59:08,400 --> 00:59:10,640 Speaker 1: Oh Yang one. I was like, okay, I'm like they 1002 00:59:10,680 --> 00:59:14,080 Speaker 1: got him and the one from What's uh never have 1003 00:59:14,240 --> 00:59:17,640 Speaker 1: I ever that guy who was like the Japanese guy. 1004 00:59:17,680 --> 00:59:19,520 Speaker 1: So I was like, okay, look at look at the 1005 00:59:20,960 --> 00:59:22,760 Speaker 1: That was the thing I've always been like, when are 1006 00:59:22,800 --> 00:59:25,760 Speaker 1: we going to see Asian people in these movies? When 1007 00:59:26,040 --> 00:59:28,840 Speaker 1: I feel like we're making it, like a turn has 1008 00:59:28,880 --> 00:59:32,640 Speaker 1: been made and maybe our scripts will finally get picked up, 1009 00:59:33,240 --> 00:59:35,520 Speaker 1: and that what I mean to ask you. You said 1010 00:59:35,560 --> 00:59:36,880 Speaker 1: you were working on a script. I didn't want to 1011 00:59:36,920 --> 00:59:39,280 Speaker 1: be like, is that the Holiday movie one? Or you know, 1012 00:59:39,400 --> 00:59:42,000 Speaker 1: my holiday script is done? I wrote the Mary mus 1013 00:59:42,040 --> 00:59:45,840 Speaker 1: some Christmas rom con rom com back in I just 1014 00:59:46,360 --> 00:59:48,880 Speaker 1: pandemic happened And I don't really know how to sell scripts, 1015 00:59:49,520 --> 00:59:55,720 Speaker 1: but hopefully can do something now. Um Marst Harvest Entertainment 1016 00:59:56,480 --> 00:59:58,680 Speaker 1: they take all the time, yeah there because they do 1017 00:59:58,760 --> 01:00:01,440 Speaker 1: all they do a ton in the christ movies. Are 1018 01:00:01,480 --> 01:00:03,920 Speaker 1: you working on a on a Christmas group? I was 1019 01:00:04,000 --> 01:00:05,520 Speaker 1: that we pitched it. We I pitched it to them, 1020 01:00:05,520 --> 01:00:08,720 Speaker 1: it didn't work out, didn't work out, they passed on it, boo. 1021 01:00:09,800 --> 01:00:11,320 Speaker 1: And then I kind of see, you know, I kind 1022 01:00:11,320 --> 01:00:13,200 Speaker 1: of see my idea popping up with other stuff. I'm 1023 01:00:13,240 --> 01:00:15,960 Speaker 1: not saying that thing, but I will say that it's 1024 01:00:15,960 --> 01:00:21,720 Speaker 1: also very though. The creativity amongst the Christmas films is 1025 01:00:21,760 --> 01:00:25,960 Speaker 1: pretty limited. So there's a there's two colors that you're 1026 01:00:25,960 --> 01:00:29,880 Speaker 1: working with, red and green, and you're you're starburst can 1027 01:00:30,000 --> 01:00:32,680 Speaker 1: be green and red or red and green. There's a 1028 01:00:32,720 --> 01:00:35,600 Speaker 1: new one coming out on Comedy Central next week that 1029 01:00:36,160 --> 01:00:38,640 Speaker 1: features to Indian girls and it's kind of like I 1030 01:00:39,040 --> 01:00:40,560 Speaker 1: think how Pens in it too, So it's like a 1031 01:00:40,640 --> 01:00:46,360 Speaker 1: do wllly Christmas mashup. What is your favorite Christmas movie? Lifetime, 1032 01:00:46,400 --> 01:00:51,240 Speaker 1: Hallmark or otherwise otherwise it's Edwards is your hand? Mm 1033 01:00:51,320 --> 01:00:57,480 Speaker 1: hmm Edwards hand the prequel, the prequel where he's only 1034 01:00:57,520 --> 01:00:59,920 Speaker 1: got one hand and still pretty good. He doesn't have 1035 01:01:00,520 --> 01:01:08,680 Speaker 1: face scissor this other hand. Oh man, that was That 1036 01:01:08,880 --> 01:01:11,880 Speaker 1: is exactly what my dad would call it. He can't 1037 01:01:12,000 --> 01:01:16,480 Speaker 1: he can't get pluralizing anything. Brad Pitt is Brad Pitts 1038 01:01:16,760 --> 01:01:20,800 Speaker 1: and Edward scissor hands is Edward scissor hand for Edwards 1039 01:01:21,240 --> 01:01:27,040 Speaker 1: Edwards scissor. That would be if there were multiple if 1040 01:01:27,080 --> 01:01:32,000 Speaker 1: there was a multiplicity type situation and multiple Edwards scissor hand. 1041 01:01:32,520 --> 01:01:35,720 Speaker 1: What's your what's your outlier Christmas movie? Jacksie's die Hard. 1042 01:01:36,640 --> 01:01:38,960 Speaker 1: I mean that's such a whack answer. But die Hard 1043 01:01:39,160 --> 01:01:41,840 Speaker 1: was for you know, the portion of my life when 1044 01:01:41,880 --> 01:01:44,000 Speaker 1: I was thought I was too grown up to say 1045 01:01:44,080 --> 01:01:46,240 Speaker 1: Johns was my favorite movie. I said die Hard was 1046 01:01:46,320 --> 01:01:48,479 Speaker 1: my favorite movie. So I do really love die Hard. 1047 01:01:48,840 --> 01:01:52,200 Speaker 1: Also really love die Hard too, which is pretty absurd 1048 01:01:52,280 --> 01:01:56,480 Speaker 1: and over the top and also very Christmas eve. But yeah, 1049 01:01:56,560 --> 01:02:02,120 Speaker 1: I mean I think I like that classics you're scrooged. Yeah, 1050 01:02:02,440 --> 01:02:05,640 Speaker 1: what's funny because the movie Love Hard with Jimmy oh Yang, 1051 01:02:05,680 --> 01:02:08,160 Speaker 1: it's called Love Hard because like kind of one of 1052 01:02:08,240 --> 01:02:10,480 Speaker 1: the sort of thrust of it is like they bond 1053 01:02:10,560 --> 01:02:13,160 Speaker 1: over their love for die Hard as a Christmas film, 1054 01:02:13,840 --> 01:02:17,240 Speaker 1: and it's meant to sort of be like this hot 1055 01:02:17,360 --> 01:02:19,919 Speaker 1: take that like she's like, no one believes me until 1056 01:02:20,040 --> 01:02:22,920 Speaker 1: you and the whole the whole conceited is kind of interesting. 1057 01:02:23,320 --> 01:02:26,000 Speaker 1: This dude, Jimmy O Yang, you know from Silicon Valley 1058 01:02:26,040 --> 01:02:29,600 Speaker 1: probably remember him. He basically was cat fishing Nina dough 1059 01:02:29,680 --> 01:02:32,600 Speaker 1: Brev with another dude's picture and she thought she was 1060 01:02:32,680 --> 01:02:35,520 Speaker 1: like with this like other guy and so, and they've 1061 01:02:35,600 --> 01:02:37,560 Speaker 1: like they kicked up. They hit it off over phone 1062 01:02:37,600 --> 01:02:39,520 Speaker 1: and text and ship like that, and then he's like, hey, 1063 01:02:39,560 --> 01:02:41,680 Speaker 1: why don't you come to He's like, or he didn't invite. 1064 01:02:41,720 --> 01:02:43,760 Speaker 1: He said, oh, I wish I could spend the holidays 1065 01:02:43,800 --> 01:02:45,600 Speaker 1: with you, and she took that as I'm gonna go 1066 01:02:45,760 --> 01:02:48,360 Speaker 1: surprise him until she pulls up and realized he's like, 1067 01:02:48,440 --> 01:02:51,600 Speaker 1: you are not the gentleman from the fucking photo, and 1068 01:02:51,840 --> 01:02:56,520 Speaker 1: that's where the hijinks and sue. But she's she's acting 1069 01:02:56,600 --> 01:02:59,200 Speaker 1: like this is the first she's ever heard of somebody 1070 01:02:59,240 --> 01:03:01,240 Speaker 1: claiming that die It is the holiday is a Christmas 1071 01:03:01,280 --> 01:03:03,520 Speaker 1: heavy Wait no, I mean like her thing is like 1072 01:03:03,600 --> 01:03:05,880 Speaker 1: she argues with people who don't believe that die Hard 1073 01:03:05,920 --> 01:03:08,600 Speaker 1: is a Christmas movie, and then they're like, it is 1074 01:03:08,680 --> 01:03:11,840 Speaker 1: a Christmas movie. It's the perfect Christmas movie, and you're like, okay, 1075 01:03:12,000 --> 01:03:17,120 Speaker 1: thank you, very specific my outlier pick for Christmas movie. 1076 01:03:17,840 --> 01:03:21,480 Speaker 1: I guess if it's an outlier, I don't know, bad Santa, 1077 01:03:21,720 --> 01:03:25,400 Speaker 1: it's still it's there's something about how fucked up he is, 1078 01:03:25,720 --> 01:03:30,120 Speaker 1: and it puts me in the holiday spirit and more 1079 01:03:30,240 --> 01:03:35,320 Speaker 1: traditionally love jingle all the way I've never seen Oh 1080 01:03:35,640 --> 01:03:39,720 Speaker 1: my god, Jack you gotta get a Turboman doll for 1081 01:03:39,880 --> 01:03:42,600 Speaker 1: your kid. You're gonna be a bad dad that one. 1082 01:03:43,000 --> 01:03:44,960 Speaker 1: And also Home Alone too, man, I like New York. 1083 01:03:45,320 --> 01:03:50,959 Speaker 1: I love New York in the winter's too heavy. Also, 1084 01:03:51,000 --> 01:03:53,360 Speaker 1: I think it's the idea of I think as a kid, 1085 01:03:53,920 --> 01:03:56,920 Speaker 1: I like the autonomy in the city as a child 1086 01:03:57,120 --> 01:03:59,760 Speaker 1: that Kevin experienced in Home Alone too, and be like, 1087 01:03:59,800 --> 01:04:02,640 Speaker 1: oh look at you like duping people with your talk 1088 01:04:02,720 --> 01:04:05,240 Speaker 1: boy and ship. Yeah, and I thought that was really cool. 1089 01:04:05,800 --> 01:04:08,080 Speaker 1: And uh, also the idea that you could just get 1090 01:04:08,160 --> 01:04:10,280 Speaker 1: room service and eat a bunch of ice cream. It 1091 01:04:10,400 --> 01:04:13,080 Speaker 1: just still resonates with my childish brain. And you said 1092 01:04:13,760 --> 01:04:16,840 Speaker 1: that it's your favorite cameo of all time? Is Donald Trump? 1093 01:04:16,960 --> 01:04:19,640 Speaker 1: Donald Trump showing up? And you said that's when you 1094 01:04:19,720 --> 01:04:22,400 Speaker 1: knew it was a star. He said, that's when I said. 1095 01:04:22,440 --> 01:04:24,040 Speaker 1: I remember as a kid, I said, this guy about 1096 01:04:24,080 --> 01:04:29,880 Speaker 1: to be the president. What's the matter? Store wouldn't accept 1097 01:04:29,960 --> 01:04:35,160 Speaker 1: your stolen credit card? Is a fun movie? Quote? Yeah, 1098 01:04:36,080 --> 01:04:40,480 Speaker 1: they only let Trump onto that movie because they wanted 1099 01:04:40,480 --> 01:04:43,240 Speaker 1: to film in the plaza, Like that was the stipulation. Yeah. 1100 01:04:43,560 --> 01:04:46,400 Speaker 1: He was like, deal, if if I'm if I can 1101 01:04:46,480 --> 01:04:50,200 Speaker 1: play Kevin? Uh what I mean, or just show up, 1102 01:04:50,320 --> 01:04:52,960 Speaker 1: you know whatever. If you don't like me for the role, 1103 01:04:53,120 --> 01:04:56,480 Speaker 1: it's fine, I'll just show up. Perfect idea. He passes me. 1104 01:04:56,720 --> 01:04:59,800 Speaker 1: We lock eyes. He realizes I'm him in the future. 1105 01:05:01,320 --> 01:05:03,840 Speaker 1: I realized that's me as a boy, and then we 1106 01:05:03,880 --> 01:05:06,320 Speaker 1: can go off on a whole other narrative where I'm 1107 01:05:06,400 --> 01:05:10,240 Speaker 1: the King of New York sticky bandits put him in 1108 01:05:10,280 --> 01:05:13,080 Speaker 1: jail forever. And there's a new Home Alone too with 1109 01:05:13,280 --> 01:05:18,439 Speaker 1: like a little kid. It's on Disney Plus, I haven't 1110 01:05:18,480 --> 01:05:21,400 Speaker 1: watched it yet. Yeah, And is it Anna Kendrick in 1111 01:05:21,440 --> 01:05:25,240 Speaker 1: it too? Yeah? Yeah, but that one, is it still 1112 01:05:25,280 --> 01:05:27,960 Speaker 1: in the tradition of the Home Alone? You know? I 1113 01:05:28,040 --> 01:05:29,960 Speaker 1: think so. I think. I'm not sure if they're trying 1114 01:05:29,960 --> 01:05:35,000 Speaker 1: to redo the first one or if it's like the 1115 01:05:35,120 --> 01:05:42,640 Speaker 1: third chapter Ellie Kemper h Ellie Kemper, Archie Yates, Hey, 1116 01:05:42,720 --> 01:05:46,800 Speaker 1: Ashley b past guests, Rob Delaney, Pete Holmes. But yeah, 1117 01:05:46,840 --> 01:05:49,480 Speaker 1: that one, I think that came out earlier this or 1118 01:05:49,560 --> 01:05:53,360 Speaker 1: last month. And yeah, they whoa Mikey Day I guess 1119 01:05:53,440 --> 01:05:55,840 Speaker 1: wrote this too, So they've got a lot of interesting 1120 01:05:55,920 --> 01:05:58,040 Speaker 1: comedy things going on there. But that one says a 1121 01:05:58,080 --> 01:06:00,640 Speaker 1: married couple tries to steal back a valuable loom from 1122 01:06:00,680 --> 01:06:05,960 Speaker 1: a troublesome kid and a very spirit of Christmas. The 1123 01:06:06,040 --> 01:06:10,160 Speaker 1: Wets are a married couple. Now, I mean, if that's 1124 01:06:10,200 --> 01:06:14,240 Speaker 1: not progress, I guess it's not. Anyways, has such a 1125 01:06:14,320 --> 01:06:17,680 Speaker 1: pleasure having you on the show as always, Where can 1126 01:06:17,720 --> 01:06:21,160 Speaker 1: people find you and follow you? I'm always down to 1127 01:06:21,240 --> 01:06:25,920 Speaker 1: talk about Christmas movies. I am at Tasi star on 1128 01:06:26,040 --> 01:06:28,680 Speaker 1: on the socials. I'm actually out in a book that 1129 01:06:28,800 --> 01:06:30,320 Speaker 1: just came out a couple of weeks ago. I have 1130 01:06:30,440 --> 01:06:34,040 Speaker 1: a story in this book called New Moons, Contemporary Writing 1131 01:06:34,120 --> 01:06:37,000 Speaker 1: by North American Muslims. So you can find me in 1132 01:06:37,040 --> 01:06:41,240 Speaker 1: a bookstore too. I got New Moons. Is there a 1133 01:06:41,600 --> 01:06:44,000 Speaker 1: tweet or some of the work of social media you've 1134 01:06:44,040 --> 01:06:48,640 Speaker 1: been enjoying? Alright, tweet I've been enjoying because we're still 1135 01:06:49,960 --> 01:06:55,600 Speaker 1: on residual Thanksgiving There from at Daniel Suliman. Fact of 1136 01:06:55,640 --> 01:06:58,720 Speaker 1: the Day. Pumpkin pie became a popular dish during Civil 1137 01:06:58,800 --> 01:07:02,800 Speaker 1: War era celebration of Thanksgiving because pumpkins were grown on 1138 01:07:02,920 --> 01:07:06,640 Speaker 1: small farms, not plantations, making the pie a symbol of 1139 01:07:06,720 --> 01:07:12,320 Speaker 1: abolitionists virtue thought. And then it continues. The thread continues 1140 01:07:12,440 --> 01:07:17,120 Speaker 1: with the history of abolitionist history of Thanksgiving. I thought 1141 01:07:17,160 --> 01:07:21,720 Speaker 1: that was really interesting, the persistence of turkey and pumpkin pie, 1142 01:07:22,040 --> 01:07:26,360 Speaker 1: even though they're both you know, fine, but it's inspired 1143 01:07:26,640 --> 01:07:30,200 Speaker 1: that the people continue to funk with punkin pie and turkey, 1144 01:07:30,560 --> 01:07:33,760 Speaker 1: all these generations at miles where can people find you 1145 01:07:34,200 --> 01:07:36,240 Speaker 1: and follow you on? What's a tweet you've been enjoying? 1146 01:07:36,480 --> 01:07:38,560 Speaker 1: Find me on Twitter and Instagram and miles of gray. 1147 01:07:38,680 --> 01:07:43,080 Speaker 1: Also the other show for twenty Day Fiance obviously feel 1148 01:07:43,080 --> 01:07:46,000 Speaker 1: like ninety day. Come listen to me yell about that. Uh. 1149 01:07:46,560 --> 01:07:49,960 Speaker 1: This one is from Lauren Huff at Lauren the Huff 1150 01:07:50,080 --> 01:07:52,560 Speaker 1: h o U g H. And again to your point 1151 01:07:52,960 --> 01:07:56,040 Speaker 1: Tazz about sort of this this hangover from the holidays, 1152 01:07:56,080 --> 01:07:58,360 Speaker 1: and again I think intersecting with just kind of having 1153 01:07:58,400 --> 01:08:01,680 Speaker 1: boundaries when you're working. This one says, none of y'all 1154 01:08:01,720 --> 01:08:04,840 Speaker 1: motherfucker's better be answering email on Sunday night, we are 1155 01:08:05,040 --> 01:08:09,720 Speaker 1: not ending the weekend early. Hold the line, which is true, like, 1156 01:08:10,160 --> 01:08:14,400 Speaker 1: come on, y'all, give yourselves fucking time. You can actually say, yeah, 1157 01:08:14,400 --> 01:08:17,719 Speaker 1: I'm not looking at this ship till much old, old old, 1158 01:08:20,200 --> 01:08:23,880 Speaker 1: I mean, whenever you can just really hold your boundaries 1159 01:08:24,040 --> 01:08:27,000 Speaker 1: because that's all we got right now. All right, let's 1160 01:08:27,160 --> 01:08:32,040 Speaker 1: see some tweets I've been enjoying Miami. They tweeted everyone 1161 01:08:32,080 --> 01:08:34,519 Speaker 1: who didn't post their Urban Dictionary names should get one 1162 01:08:34,600 --> 01:08:39,559 Speaker 1: hundred dollars. It's about, tweeted. Funny men attract hot women 1163 01:08:39,720 --> 01:08:43,160 Speaker 1: and funny women attract hate comments on Twitter, and then 1164 01:08:43,280 --> 01:08:46,560 Speaker 1: Whitmer Thomas tweeted, I just want to feel what the 1165 01:08:46,640 --> 01:08:48,719 Speaker 1: guys singer in the b F F T twos feels 1166 01:08:49,160 --> 01:08:52,599 Speaker 1: And I just put that guy's blood in my veins. 1167 01:08:52,760 --> 01:09:00,479 Speaker 1: I would, I mean mouth who who could be? Yeah? 1168 01:09:00,560 --> 01:09:03,000 Speaker 1: Fuck that man? If they could bottle up that red energy. 1169 01:09:03,600 --> 01:09:06,320 Speaker 1: I'm off drugs. You can find me on Twitter at 1170 01:09:06,400 --> 01:09:08,559 Speaker 1: Jack Underscore O'Brien. You can find us on Twitter at 1171 01:09:08,640 --> 01:09:11,720 Speaker 1: Daily's Like guys. We're at the dailies like guys on Instagram, 1172 01:09:12,080 --> 01:09:14,880 Speaker 1: with Facebook fan page and website. Daily is like guys 1173 01:09:14,960 --> 01:09:17,800 Speaker 1: dot com, where we post our episodes on our footnote 1174 01:09:18,920 --> 01:09:20,599 Speaker 1: we link off to the information that we talked about 1175 01:09:20,600 --> 01:09:22,840 Speaker 1: in today's episode, as well as a song that we 1176 01:09:22,960 --> 01:09:27,400 Speaker 1: think you might enjoy. Song do we think people might enjoy? Oh? 1177 01:09:27,920 --> 01:09:30,880 Speaker 1: This one? This is a very interesting rap track by 1178 01:09:31,000 --> 01:09:34,639 Speaker 1: Bug Maine and porka bat and it's called coco Pelli. 1179 01:09:37,000 --> 01:09:40,400 Speaker 1: I just think of the like coco Pelli, but these 1180 01:09:40,439 --> 01:09:43,439 Speaker 1: guys like it sounds like they sampled maybe some like 1181 01:09:43,680 --> 01:09:47,960 Speaker 1: inking like like ruby and pam flute kind of band stuff, 1182 01:09:48,360 --> 01:09:52,080 Speaker 1: and like the chorus of like I follow me I 1183 01:09:52,320 --> 01:09:55,960 Speaker 1: on coco Pelli. It's it's kind of a weird list. 1184 01:09:56,040 --> 01:09:58,320 Speaker 1: It's just kind of a fun song. I mean, although 1185 01:09:58,439 --> 01:10:00,840 Speaker 1: I have not looked into the lyrics too much because 1186 01:10:00,840 --> 01:10:02,519 Speaker 1: they're not singing a whole lot, but this is Coco 1187 01:10:02,640 --> 01:10:06,000 Speaker 1: Palty pop block me all right. Well. The Daily Zygeis 1188 01:10:06,080 --> 01:10:08,200 Speaker 1: is a production of iHeart Radio for more podcast My 1189 01:10:08,520 --> 01:10:11,280 Speaker 1: Radio visit the I Hear Radio app Apple podcast Where 1190 01:10:11,320 --> 01:10:13,080 Speaker 1: have you listen to your favorite shows? That's gonna do 1191 01:10:13,160 --> 01:10:15,400 Speaker 1: it for us this morning or ba's this afternoon to 1192 01:10:15,479 --> 01:10:17,240 Speaker 1: tell you what's trending and we'll talk to you all 1193 01:10:17,280 --> 01:10:18,920 Speaker 1: then Bye bye by