1 00:00:00,280 --> 00:00:03,800 Speaker 1: Hello the Internet, and welcome to Season to seventeen, Episode 2 00:00:03,800 --> 00:00:08,200 Speaker 1: two of The Daily Guice, the production of I Heart Radio. Uh. 3 00:00:08,320 --> 00:00:09,760 Speaker 1: This is a podcast where we take it deep to 4 00:00:09,760 --> 00:00:13,640 Speaker 1: dive into America's share consciousness. And it is Tuesday, December one, 5 00:00:14,880 --> 00:00:19,160 Speaker 1: which is the Winter Solstice. That's This is actually the 6 00:00:19,200 --> 00:00:21,240 Speaker 1: second time we've done the intro. I couldn't come up 7 00:00:21,280 --> 00:00:24,560 Speaker 1: with a national or international day because Myles wasn't here, 8 00:00:24,960 --> 00:00:27,440 Speaker 1: But that's a that's a big one. I feel like 9 00:00:27,880 --> 00:00:31,800 Speaker 1: even years ago we'd be doing something for that holiday. 10 00:00:31,920 --> 00:00:37,000 Speaker 1: But anyways, Happy Winter Solstice to everyone. My name is 11 00:00:37,159 --> 00:00:41,240 Speaker 1: Jack O'Brien. A k a umm am a'ma a'm a 12 00:00:41,320 --> 00:00:49,680 Speaker 1: Cromberry and your proteins grow, your proteins grow, and then Emma, hey, yeah, 13 00:00:49,760 --> 00:00:53,640 Speaker 1: let's just end it there. Shout out to Chaunty Yonders. 14 00:00:54,360 --> 00:00:57,480 Speaker 1: I don't know. I don't know if I can have 15 00:00:57,560 --> 00:01:01,240 Speaker 1: fun doing a'm a crown a k is anymore. It's 16 00:01:01,320 --> 00:01:04,880 Speaker 1: you're not ready for round three, Chack. You know what 17 00:01:04,920 --> 00:01:08,640 Speaker 1: we're doing. We're like in third grade of the pandemic. 18 00:01:08,640 --> 00:01:11,080 Speaker 1: We know what we're doing. We know what supplies we need. 19 00:01:11,240 --> 00:01:14,600 Speaker 1: I've already got my pod is pre approved. Ready to go. 20 00:01:15,040 --> 00:01:18,320 Speaker 1: It's like habit for me. Now I know exactly how 21 00:01:18,360 --> 00:01:21,000 Speaker 1: to shrink my life. I know where the abundance is 22 00:01:21,000 --> 00:01:23,399 Speaker 1: going to be. I'm gonna do nature again. That's what 23 00:01:23,400 --> 00:01:25,360 Speaker 1: happens every time we go back in. I'm like, damn, 24 00:01:25,400 --> 00:01:30,320 Speaker 1: I love trees. Got out. I appreciate that. H Third 25 00:01:30,400 --> 00:01:35,640 Speaker 1: Lockdown pep Talk from today's special guest co host, We're thrilled, blessed, 26 00:01:35,760 --> 00:01:39,000 Speaker 1: fortunate to be joined by a producer. Here and my 27 00:01:39,160 --> 00:01:41,600 Speaker 1: heart l a podcast studio helping to create shows like 28 00:01:41,640 --> 00:01:44,600 Speaker 1: Fake DR's Real Friends. She's a podcast host. You've heard 29 00:01:44,600 --> 00:01:47,520 Speaker 1: on the Pop Culture Happy Our Fabulous writer. You can 30 00:01:47,560 --> 00:01:50,200 Speaker 1: read a Vulture, the A V Club Team book, Pace 31 00:01:50,440 --> 00:01:54,480 Speaker 1: Havocate Anymore. She is the brilliant and talented Joel Money 32 00:01:56,280 --> 00:01:59,640 Speaker 1: the longest night of the year Vampires. I'm really excited 33 00:01:59,720 --> 00:02:02,840 Speaker 1: for us. I love nighttime. I get much more done 34 00:02:03,120 --> 00:02:05,760 Speaker 1: when people don't expect anything from me. Don't look at me, 35 00:02:05,840 --> 00:02:12,000 Speaker 1: and I'll be productive is my Yeah, we're here, we're 36 00:02:12,040 --> 00:02:14,840 Speaker 1: doing it. I'm sorry to the seasonal depressed people. It's 37 00:02:14,840 --> 00:02:18,400 Speaker 1: hard time for you guys. It's I feel like I 38 00:02:18,560 --> 00:02:23,120 Speaker 1: have like podcast season old depression, where just like this year, 39 00:02:23,240 --> 00:02:25,600 Speaker 1: this time of year, every year, I'm like limping through 40 00:02:25,639 --> 00:02:28,880 Speaker 1: the finish line, thank you for depression, and like long 41 00:02:28,960 --> 00:02:31,360 Speaker 1: stretch to vacation where you're like it's coming, a break 42 00:02:31,480 --> 00:02:35,600 Speaker 1: is coming, nast extra episodes for the year and stuff, 43 00:02:35,720 --> 00:02:38,560 Speaker 1: and it's just you know, all the people come out 44 00:02:38,600 --> 00:02:41,799 Speaker 1: of the woodwork. It's just oh my god, and just 45 00:02:41,960 --> 00:02:48,720 Speaker 1: a flat panic just like we got. Anyways, Happy Winter Solstice, 46 00:02:48,919 --> 00:02:51,679 Speaker 1: the longest night of the year. Like this is the 47 00:02:52,840 --> 00:02:55,239 Speaker 1: the holiday of indoor people. I like to think of 48 00:02:55,320 --> 00:02:57,519 Speaker 1: it as like this is when we just like bring 49 00:02:57,639 --> 00:03:02,400 Speaker 1: a tree indoors, we watch movies indoors, we just hang 50 00:03:02,480 --> 00:03:06,959 Speaker 1: out with loved ones indoors. Fewer loved ones than usual 51 00:03:07,440 --> 00:03:11,000 Speaker 1: maybe this year, but anyways, Joel, we are thrilled to 52 00:03:11,120 --> 00:03:14,200 Speaker 1: be joined in our third seat by a very talented 53 00:03:14,600 --> 00:03:18,360 Speaker 1: and hilarious writer, stand up comedian podcast hosted The Bechdel Cast, 54 00:03:18,840 --> 00:03:21,240 Speaker 1: which takes down the patriarchy one movie at a time. 55 00:03:21,320 --> 00:03:24,120 Speaker 1: She also happen to have a Masters Degraham film No 56 00:03:24,200 --> 00:03:28,560 Speaker 1: Big Deal uh, and also the most anagrammable name in 57 00:03:29,000 --> 00:03:33,600 Speaker 1: the English language. So depending on whether you've been given 58 00:03:33,680 --> 00:03:36,120 Speaker 1: her name in an assortment of scrabble tiles, you might 59 00:03:36,200 --> 00:03:39,320 Speaker 1: know her as nine Tip Dracula or a Latin dancer 60 00:03:39,440 --> 00:03:42,120 Speaker 1: U t I, but in our hearts she will always 61 00:03:42,280 --> 00:03:48,800 Speaker 1: be Caitlin Duranta. Wow. What an intro. What a setup 62 00:03:48,960 --> 00:03:54,600 Speaker 1: for me to share a new wow and anagram of 63 00:03:54,720 --> 00:03:59,520 Speaker 1: my name, except I don't have a new one. You know, 64 00:03:59,840 --> 00:04:02,560 Speaker 1: the work has been done, you like, we've been given 65 00:04:03,240 --> 00:04:07,160 Speaker 1: the greatest antagrams of all time. So thank you for 66 00:04:07,240 --> 00:04:11,000 Speaker 1: your name, no, no need. You are officially, you know, 67 00:04:11,200 --> 00:04:15,280 Speaker 1: the most anagrammable. Thanks. So the legacy has is, it's 68 00:04:15,320 --> 00:04:19,240 Speaker 1: been set, it's it's been established. Yeah, and now I 69 00:04:19,279 --> 00:04:23,440 Speaker 1: could just coast absolutely and calem. What is your favorite? 70 00:04:23,520 --> 00:04:26,520 Speaker 1: Just to kind of what's your favorite antagram of your name? 71 00:04:27,120 --> 00:04:35,400 Speaker 1: I really like Lauren D Titanic. Yeah. Uh, speaking of 72 00:04:35,640 --> 00:04:42,360 Speaker 1: I did buy the Lego Titanic. I say, did you 73 00:04:42,560 --> 00:04:47,240 Speaker 1: build it? I built it and it was it was great. 74 00:04:47,960 --> 00:04:50,040 Speaker 1: I thought it was gonna take me like months and 75 00:04:50,279 --> 00:04:53,080 Speaker 1: months and I would just be like working tirelessly at it. 76 00:04:53,640 --> 00:04:55,800 Speaker 1: But it turns out, when you're not a child anymore 77 00:04:55,880 --> 00:04:58,320 Speaker 1: and you're an adult who knows how to read instructions, 78 00:04:59,440 --> 00:05:03,360 Speaker 1: the le Lego tells you exactly what to do. Yeah, 79 00:05:03,600 --> 00:05:06,800 Speaker 1: like build a thing. So I just followed the instructions 80 00:05:06,960 --> 00:05:10,520 Speaker 1: and very I would say I invested a solid like 81 00:05:10,720 --> 00:05:15,320 Speaker 1: fifteen hours into building it. Gosh, I built it without 82 00:05:15,920 --> 00:05:18,480 Speaker 1: a hitch. But when I was a kid and was 83 00:05:18,560 --> 00:05:24,240 Speaker 1: trying to build legos or lego whatever, that is right, 84 00:05:24,960 --> 00:05:27,520 Speaker 1: very much a thing and they don't like it. They 85 00:05:27,680 --> 00:05:31,000 Speaker 1: don't like it. They're like the plural of lego is lego, Like, 86 00:05:31,120 --> 00:05:34,359 Speaker 1: please never use an s. Lots of angry messages about 87 00:05:34,400 --> 00:05:37,640 Speaker 1: that in the past, So sorry, So is there another 88 00:05:37,760 --> 00:05:41,720 Speaker 1: word in that's common in the English language that is 89 00:05:42,040 --> 00:05:45,600 Speaker 1: ang Oh no, yeah, I got I got fish and 90 00:05:45,720 --> 00:05:49,560 Speaker 1: my uh deer and stuff. But like that ends, and 91 00:05:49,680 --> 00:05:52,640 Speaker 1: oh I feel like that that no such thing as 92 00:05:52,680 --> 00:05:56,080 Speaker 1: that goes. But again, it's a brand name that I 93 00:05:56,480 --> 00:05:59,200 Speaker 1: will damn well put an s at the end of 94 00:05:59,279 --> 00:06:02,360 Speaker 1: if I please, Uh, I would understand if it was 95 00:06:02,480 --> 00:06:06,440 Speaker 1: like a thing, but I just don't know legs. Oh 96 00:06:06,839 --> 00:06:08,880 Speaker 1: maybe maybe it's not an US thing. Maybe it is 97 00:06:08,880 --> 00:06:12,520 Speaker 1: because Lego is not from They're not an American company, 98 00:06:13,440 --> 00:06:18,760 Speaker 1: right Swedish. Yeah, I'm probably like just a spousing like 99 00:06:18,920 --> 00:06:22,560 Speaker 1: this is like me, my my own version of being, 100 00:06:22,640 --> 00:06:29,720 Speaker 1: Like I call him Freedom Fries, Denmark Denmark, Right, right, Denmark. 101 00:06:30,200 --> 00:06:35,800 Speaker 1: Sorry anyways, Yeah, I too have found Caitlin that I 102 00:06:36,160 --> 00:06:41,240 Speaker 1: reached appropriate age for like, you know, building somewhat like 103 00:06:41,600 --> 00:06:46,919 Speaker 1: complex legos at as like by by the directions provided 104 00:06:46,960 --> 00:06:51,200 Speaker 1: by Lego, like in my late thirties early forties, like 105 00:06:51,760 --> 00:06:55,280 Speaker 1: once my kids started having them, and prior to that 106 00:06:55,520 --> 00:06:59,040 Speaker 1: I was it was just buying a Lego set for 107 00:06:59,240 --> 00:07:02,680 Speaker 1: me was just a way to contribute to a bunch 108 00:07:02,720 --> 00:07:05,480 Speaker 1: of small things on the ground in my bedroom when 109 00:07:05,520 --> 00:07:09,760 Speaker 1: I was younger. So same, Yeah, you can build a 110 00:07:09,880 --> 00:07:14,240 Speaker 1: typewriter with out of Lego. That is crazy. It was 111 00:07:14,320 --> 00:07:16,800 Speaker 1: working so cool. I don't know if it were. It 112 00:07:16,920 --> 00:07:19,040 Speaker 1: looks like it should be able to work. It's so 113 00:07:19,600 --> 00:07:21,600 Speaker 1: I don't drop in the yet. I'm sorry, I totally 114 00:07:21,640 --> 00:07:24,000 Speaker 1: side rail, but like, oh my god, looks so cool. 115 00:07:24,600 --> 00:07:28,280 Speaker 1: Man Tom Hanks is somewhere just fully aroused, rightly get 116 00:07:28,360 --> 00:07:32,280 Speaker 1: the mouth. I also, I also want to say, as 117 00:07:32,320 --> 00:07:36,160 Speaker 1: somebody who has come to this point in my life 118 00:07:36,360 --> 00:07:41,680 Speaker 1: with kids who have no respect for the work that 119 00:07:41,760 --> 00:07:44,760 Speaker 1: I'm trying to do with the Lego that I bought 120 00:07:44,880 --> 00:07:48,360 Speaker 1: for them, I want to say that the perspective of 121 00:07:48,920 --> 00:07:52,760 Speaker 1: Will Ferrell's character and the Lego movie is underrated, like 122 00:07:55,200 --> 00:07:58,760 Speaker 1: make the drama from the dad's perspective. Kids just leading 123 00:07:58,800 --> 00:08:03,920 Speaker 1: their legos every they of this town that I've built. 124 00:08:03,960 --> 00:08:06,720 Speaker 1: This is my happy place, like eighty hours a week. 125 00:08:06,920 --> 00:08:08,880 Speaker 1: He's so mad when he comes home and the Legos 126 00:08:08,880 --> 00:08:10,800 Speaker 1: are in the wrong place. You get it, Joe up, 127 00:08:11,760 --> 00:08:17,280 Speaker 1: Just I don't have children. Number one unsupportable. Wait, that 128 00:08:17,320 --> 00:08:19,680 Speaker 1: doesn't look like it's made out of Lego at all. 129 00:08:20,400 --> 00:08:24,040 Speaker 1: I know that's the thing about Lego. Should we get it? 130 00:08:24,080 --> 00:08:27,160 Speaker 1: I'll buy it. Fine, should we get it? Let's do it? 131 00:08:28,000 --> 00:08:32,080 Speaker 1: Wow a mere two. Yeah. So let's say I got 132 00:08:32,240 --> 00:08:37,480 Speaker 1: this and then was building it painstakingly and my kids 133 00:08:37,559 --> 00:08:39,599 Speaker 1: come through and want to play with it. Come on, 134 00:08:40,600 --> 00:08:44,320 Speaker 1: horrible the worst? Anyways, I I did. You also took 135 00:08:44,400 --> 00:08:47,079 Speaker 1: like a time lapse video of the building of the 136 00:08:47,480 --> 00:08:50,880 Speaker 1: Titanic and posted it on Instagram. I think I saw. 137 00:08:51,240 --> 00:08:53,440 Speaker 1: Actually I did a few of those. Yes, yeah, those. 138 00:08:53,679 --> 00:08:56,800 Speaker 1: That was very impressive, and the world thanks you for 139 00:08:57,040 --> 00:08:58,840 Speaker 1: for putting in that work so we can see how 140 00:08:58,880 --> 00:09:02,240 Speaker 1: it all comes together. An incredible engineer. As it turns out, 141 00:09:05,040 --> 00:09:07,760 Speaker 1: I killed it all by myself, and now I have 142 00:09:07,880 --> 00:09:11,440 Speaker 1: nowhere to put it because it's huge, it's over, it's 143 00:09:11,480 --> 00:09:13,839 Speaker 1: like four and a half feet long. I don't know 144 00:09:14,080 --> 00:09:16,160 Speaker 1: where to keep it. I have nowhere in my apartment, 145 00:09:16,320 --> 00:09:22,040 Speaker 1: too special shelf. I truly I do before this, but 146 00:09:22,400 --> 00:09:25,480 Speaker 1: it's there, and it's it's staying there. It's I'm not 147 00:09:25,600 --> 00:09:29,599 Speaker 1: going to take it apart. Yeah? Is it seaworthy? Is 148 00:09:29,640 --> 00:09:31,920 Speaker 1: it something that you could just like take to take 149 00:09:32,000 --> 00:09:37,080 Speaker 1: to sea and baby sail it? Unless there are any 150 00:09:37,520 --> 00:09:41,080 Speaker 1: lego icebergs around? Right? Yeah, it might be all right, 151 00:09:41,400 --> 00:09:44,160 Speaker 1: might make it, might make it all right, Caitlin. We're 152 00:09:44,160 --> 00:09:45,439 Speaker 1: going to get to know you a little bit better 153 00:09:45,480 --> 00:09:47,360 Speaker 1: in a moment. First we can tell our listeners a 154 00:09:47,400 --> 00:09:49,560 Speaker 1: couple of the things we're talking about. We're gonna talk 155 00:09:49,600 --> 00:09:52,880 Speaker 1: about a macron just where where we're at. There's a 156 00:09:53,120 --> 00:09:56,960 Speaker 1: weird weekend last weekend, and it seems like people are 157 00:09:57,600 --> 00:10:01,960 Speaker 1: not just me getting exhaust did with a K song 158 00:10:02,080 --> 00:10:05,680 Speaker 1: parodies about diseases killing a lot of people, but also 159 00:10:05,840 --> 00:10:09,520 Speaker 1: people like people who make decisions are getting tired of 160 00:10:09,640 --> 00:10:12,360 Speaker 1: like following doctor's orders. Just just want to take a 161 00:10:12,440 --> 00:10:15,959 Speaker 1: quick snapshot of where we're at, because I both think 162 00:10:16,000 --> 00:10:20,040 Speaker 1: it's very unhealthy and scary and also like I get 163 00:10:20,120 --> 00:10:24,400 Speaker 1: it I feel like I understand where people are feeling 164 00:10:24,480 --> 00:10:27,520 Speaker 1: exhausted by the whole thing. In some cases, some people 165 00:10:27,720 --> 00:10:30,439 Speaker 1: I find very infuriating, like a Sienna and anchor who 166 00:10:30,559 --> 00:10:34,280 Speaker 1: was like, so what, like, we're not closing back down basically, 167 00:10:34,360 --> 00:10:41,280 Speaker 1: which was easy for him out. Uh, We're gonna talk 168 00:10:41,320 --> 00:10:47,600 Speaker 1: about Amazon's charity, which you know, everything bays Us Touches 169 00:10:47,760 --> 00:10:51,559 Speaker 1: is like, all right, this this probably has good intentions, 170 00:10:51,720 --> 00:10:54,400 Speaker 1: but you're going to be shocked by what you learned 171 00:10:54,440 --> 00:10:57,719 Speaker 1: in this story. We're gonna talk about the hottest new 172 00:10:57,800 --> 00:11:03,520 Speaker 1: gift trend. Anti five g merch writer J M McNabb 173 00:11:03,640 --> 00:11:08,200 Speaker 1: contributed a story just kind of tracking that trend. All 174 00:11:08,280 --> 00:11:11,839 Speaker 1: of that plenty more, But first we do like to 175 00:11:11,880 --> 00:11:14,280 Speaker 1: ask our guest Caitlin, what is something from your search history? 176 00:11:15,000 --> 00:11:22,240 Speaker 1: I searched movies set in San Francisco because if all 177 00:11:22,320 --> 00:11:27,200 Speaker 1: goes according to plan, Jamie Loftus and I are doing 178 00:11:27,240 --> 00:11:32,160 Speaker 1: a live show in San Francisco in January, except you know, 179 00:11:32,640 --> 00:11:37,120 Speaker 1: things might be canceled, which you know, as much as 180 00:11:37,160 --> 00:11:40,400 Speaker 1: I would love to do live shows again, it's probably 181 00:11:40,440 --> 00:11:44,240 Speaker 1: not the best time for that. So depending on how 182 00:11:44,400 --> 00:11:48,960 Speaker 1: things pan out with COVID variants, we may or may 183 00:11:49,000 --> 00:11:52,040 Speaker 1: not be doing a show, but if we are. It's 184 00:11:52,160 --> 00:11:57,480 Speaker 1: in San Francisco for SF sketch Fest January nine, and 185 00:11:58,000 --> 00:12:02,679 Speaker 1: I was like, oh, we should cover a movie based 186 00:12:02,800 --> 00:12:06,160 Speaker 1: in the city that were performing at. So I had 187 00:12:06,240 --> 00:12:10,400 Speaker 1: to do a little quick goog to see what movies 188 00:12:10,440 --> 00:12:14,079 Speaker 1: would be appropriate. And here's what I Here were my 189 00:12:14,200 --> 00:12:18,160 Speaker 1: top three picks of ones we haven't already done, because 190 00:12:18,200 --> 00:12:23,040 Speaker 1: we've done a few. For example, Princess Diaries, it takes 191 00:12:23,080 --> 00:12:28,240 Speaker 1: myself class San Francisco, Mrs Doubtfire famously takes place there. 192 00:12:29,200 --> 00:12:32,199 Speaker 1: That is one that you have done. Or yes, we've 193 00:12:32,240 --> 00:12:37,400 Speaker 1: also done the Wedding Planner movie that famously takes place 194 00:12:37,480 --> 00:12:44,319 Speaker 1: in San Francisco. What we haven't done is Zodiac have 195 00:12:44,559 --> 00:12:50,240 Speaker 1: not done the movie Jobs nor the movie Steve Jobs. 196 00:12:50,400 --> 00:12:52,800 Speaker 1: I think those are Those are two different movies that 197 00:12:52,880 --> 00:12:59,840 Speaker 1: I'm One has Ashton Kutcher and one has Michael Fastbender superior. 198 00:13:00,600 --> 00:13:04,439 Speaker 1: Yeah right. And then of course George of the Jungle 199 00:13:04,679 --> 00:13:08,199 Speaker 1: takes place in San Ftancisco, according to the Google search 200 00:13:08,360 --> 00:13:10,959 Speaker 1: that I did in the listical that I found, and 201 00:13:11,080 --> 00:13:13,840 Speaker 1: that would be my top pick Georgia George of the Jungle. 202 00:13:14,240 --> 00:13:16,400 Speaker 1: Yeah yeah, I was thinking because you're, you know, a 203 00:13:16,480 --> 00:13:19,640 Speaker 1: film scholar who has master's. I was like, you know, 204 00:13:19,800 --> 00:13:22,079 Speaker 1: Vertigo came to mind. But then I was like, no, 205 00:13:22,320 --> 00:13:25,679 Speaker 1: she's gonna go George of the Jungle. I bet she 206 00:13:26,360 --> 00:13:29,240 Speaker 1: she has a little bit of a deeper knowledge than 207 00:13:29,320 --> 00:13:34,400 Speaker 1: I do. So yeah, I'm a scholar. I am. I 208 00:13:35,920 --> 00:13:41,480 Speaker 1: have this impressive advanced degree. Yes, yes, Georgia the Jungle. 209 00:13:41,520 --> 00:13:45,000 Speaker 1: It is Georgia the Jungle is such a great nostalgic feel. 210 00:13:45,760 --> 00:13:52,160 Speaker 1: But did you say Zodiac or Vertigo is here? Both? Both? 211 00:13:52,320 --> 00:13:56,880 Speaker 1: I believe both. Well, Okay, then listen Barbi. For me, 212 00:13:57,480 --> 00:14:00,240 Speaker 1: I only have bachelories in films, so you know, it's 213 00:14:00,280 --> 00:14:02,920 Speaker 1: it's not as impressive, But I really I would love 214 00:14:02,960 --> 00:14:06,160 Speaker 1: to hear the conspiracy theories I hear. There's like so 215 00:14:06,280 --> 00:14:09,240 Speaker 1: many wild stories from the film set of Zodiac that 216 00:14:09,320 --> 00:14:12,640 Speaker 1: are fun to explore. I feel like and that talent 217 00:14:12,720 --> 00:14:15,520 Speaker 1: like all of the hopefully your fans would be really intigious, 218 00:14:16,360 --> 00:14:21,320 Speaker 1: the murder mystery, weird film actor miss of all of it. 219 00:14:21,840 --> 00:14:23,840 Speaker 1: But then there's George Jungle and you get to look 220 00:14:23,840 --> 00:14:29,720 Speaker 1: at a body in its prime like Brendan Fraser who 221 00:14:30,480 --> 00:14:34,720 Speaker 1: treasure National Icon, et cetera, like a good human and 222 00:14:34,880 --> 00:14:39,880 Speaker 1: a great body. It's a win. Yeah, yeah, I can't 223 00:14:39,960 --> 00:14:43,440 Speaker 1: can't be beat, can't argue with that. So the Jungle 224 00:14:43,480 --> 00:14:45,520 Speaker 1: in question and Georgia the Jungle, which I have not 225 00:14:45,720 --> 00:14:49,720 Speaker 1: seen even what Jack, if you never see George of 226 00:14:49,760 --> 00:14:57,840 Speaker 1: the Jungle, Wow, your children will love it. It's so funny. 227 00:14:58,680 --> 00:15:02,760 Speaker 1: I need anything as I'm at a point where they 228 00:15:03,320 --> 00:15:07,600 Speaker 1: only want to watch cars too. Oh not not just cars, 229 00:15:08,160 --> 00:15:13,600 Speaker 1: cars to the worst of the cars. Did you not 230 00:15:13,760 --> 00:15:16,960 Speaker 1: show them Paddington too? And why are they thinking to 231 00:15:17,240 --> 00:15:24,400 Speaker 1: watch that over and over again every day? Like it? 232 00:15:24,640 --> 00:15:26,880 Speaker 1: And it makes it like demoralizing when they have a 233 00:15:26,920 --> 00:15:29,280 Speaker 1: temper tantrum because like I'm putting up with this ship 234 00:15:29,440 --> 00:15:32,440 Speaker 1: from somebody wants to watch Cars too when we get home, 235 00:15:33,320 --> 00:15:38,920 Speaker 1: Like it's just a real kicking the gut. I'm sorry. Yeah, 236 00:15:39,280 --> 00:15:42,720 Speaker 1: but the Cars franchise has always been very popular with 237 00:15:43,000 --> 00:15:46,640 Speaker 1: the you know, I think kids under under six, but 238 00:15:47,360 --> 00:15:51,480 Speaker 1: if they're boys under like seven, that's it. Like there's 239 00:15:51,560 --> 00:15:55,560 Speaker 1: no greater franchise for them than Car. I use a 240 00:15:55,600 --> 00:15:58,520 Speaker 1: babysit a kid. But when there were only two Cars 241 00:15:58,600 --> 00:16:01,560 Speaker 1: movies and it was just every like once a week, 242 00:16:01,640 --> 00:16:04,320 Speaker 1: every single week, it was Cars the entire time we 243 00:16:04,400 --> 00:16:06,520 Speaker 1: were together. That's all he wanted to watch. It was 244 00:16:07,880 --> 00:16:10,320 Speaker 1: truly if I was like, listen, Aladdin is so good. 245 00:16:10,400 --> 00:16:13,400 Speaker 1: It got nominated for stuff. Okay, people really like it's 246 00:16:13,400 --> 00:16:18,720 Speaker 1: got a banging soundtrack, nothing, nothing. I have to go 247 00:16:18,880 --> 00:16:21,200 Speaker 1: through the whole so like the way it's set up 248 00:16:21,280 --> 00:16:24,520 Speaker 1: on Disney Plus is that like you go to the 249 00:16:24,600 --> 00:16:27,680 Speaker 1: Pixar section and then you go through all the movies 250 00:16:27,840 --> 00:16:30,560 Speaker 1: that they're expecting you to be looking for based on 251 00:16:30,760 --> 00:16:36,560 Speaker 1: like popularity, quality and cars to like. It sometimes changes order, 252 00:16:36,840 --> 00:16:39,880 Speaker 1: I think, just based on like searching and you know 253 00:16:39,960 --> 00:16:43,040 Speaker 1: how Pixars feeling about themselves on that day. Cars Too 254 00:16:43,200 --> 00:16:46,920 Speaker 1: has never not been the very last bottom. Like I 255 00:16:47,080 --> 00:16:51,840 Speaker 1: have to go through every single one of the Pixar movies. 256 00:16:52,120 --> 00:16:56,119 Speaker 1: They like Wally, but it's like, yeah, but Wally's like vegetables. 257 00:16:56,200 --> 00:16:59,800 Speaker 1: Let's let's do some cars to which has machine guns 258 00:16:59,840 --> 00:17:03,400 Speaker 1: in it for some reason. It's like, come on, anyways, 259 00:17:03,440 --> 00:17:06,359 Speaker 1: they're not allowed to watch Cars Too anymore. But it's 260 00:17:07,400 --> 00:17:14,720 Speaker 1: it's not good. It's not a good time right now. Yea, planes, 261 00:17:15,400 --> 00:17:17,040 Speaker 1: we've never watched planes. I'm not going to do it. 262 00:17:17,160 --> 00:17:20,720 Speaker 1: Tom to myself, don't do it. To yourself, because it's 263 00:17:20,760 --> 00:17:25,760 Speaker 1: somehow worse than cars tooses. I mean, they gave they 264 00:17:25,800 --> 00:17:27,920 Speaker 1: gave up on that ship, like after the second one, 265 00:17:28,680 --> 00:17:32,399 Speaker 1: I think, which is amazing. Caitlin, what is something you 266 00:17:32,480 --> 00:17:36,680 Speaker 1: think is overrated? Okay, so I'm glad you had said 267 00:17:36,800 --> 00:17:42,360 Speaker 1: something of a movie staring well Ferrell that is underrated, 268 00:17:42,800 --> 00:17:45,760 Speaker 1: because we brought up the Lego movie. Something that I 269 00:17:45,840 --> 00:17:50,320 Speaker 1: think is overrated is the movie Elf. There I said it. 270 00:17:50,480 --> 00:17:54,120 Speaker 1: I know I'm the only person I believe who has 271 00:17:54,240 --> 00:18:02,880 Speaker 1: this take, but I absolutely hate the movie Elf back 272 00:18:03,080 --> 00:18:07,359 Speaker 1: right now, Okay, we let's let's get into it. What 273 00:18:07,720 --> 00:18:10,800 Speaker 1: is it? What? What is there? What specifically is overrated 274 00:18:10,800 --> 00:18:14,040 Speaker 1: about it? What are people too hyped about around it? Okay? 275 00:18:14,200 --> 00:18:19,520 Speaker 1: I don't I just find the Elf character and I 276 00:18:19,600 --> 00:18:23,119 Speaker 1: know you have to suspend your disbelief for things, but 277 00:18:27,240 --> 00:18:30,600 Speaker 1: it's more like, oh gosh, he I just find his 278 00:18:32,880 --> 00:18:42,399 Speaker 1: like the overwhelming what's the word enthusiasm, Yeah, enthusiasm and 279 00:18:42,600 --> 00:18:48,919 Speaker 1: just like joy and just whatevery all of that just irritating. 280 00:18:49,680 --> 00:18:53,640 Speaker 1: He's too naive And some people might be like, well, Caitlin, 281 00:18:54,000 --> 00:18:59,040 Speaker 1: isn't the character of Paddington the exact same way? And 282 00:18:59,320 --> 00:19:03,840 Speaker 1: thank you also heading to the Bear and Elf as 283 00:19:03,880 --> 00:19:06,879 Speaker 1: an adult man. So I just can't get behind I 284 00:19:06,960 --> 00:19:10,040 Speaker 1: just and then on top of that, I just don't 285 00:19:10,080 --> 00:19:15,760 Speaker 1: think it's funny or good and I but to be fair, 286 00:19:15,840 --> 00:19:21,159 Speaker 1: I'm also a big grinch when it comes to Christmas content. Mh. 287 00:19:22,160 --> 00:19:26,200 Speaker 1: So we had our Christmas party kind of Christmas lunch, 288 00:19:26,320 --> 00:19:28,280 Speaker 1: we'll call it. It was fun though. We we saw 289 00:19:28,520 --> 00:19:32,920 Speaker 1: each other in person, and we we had Miles pick 290 00:19:33,359 --> 00:19:36,880 Speaker 1: for a holiday movie, which was complicated by the fact 291 00:19:36,920 --> 00:19:40,000 Speaker 1: that Miles didn't come. Miles couldn't make it, and so 292 00:19:40,160 --> 00:19:43,080 Speaker 1: I think he gave us Like the worst one was 293 00:19:43,400 --> 00:19:48,800 Speaker 1: Christmas Rush about a radio DJ who's I don't know, 294 00:19:49,000 --> 00:19:51,840 Speaker 1: nobody was really paying attention, and uh, you can with 295 00:19:52,000 --> 00:19:56,440 Speaker 1: the greatest Christmas movie I've ever seen. Movies in black 296 00:19:56,520 --> 00:20:01,840 Speaker 1: and white. It's a problem. It was so dour. I 297 00:20:02,000 --> 00:20:05,360 Speaker 1: was like, this is not bringing I'm from the Midwest. 298 00:20:05,400 --> 00:20:09,480 Speaker 1: I feel like Elf is a physical manifestation of Midwestern 299 00:20:09,640 --> 00:20:13,240 Speaker 1: Christmas spirit. It's like, oh, that's so knowing again, like 300 00:20:13,320 --> 00:20:17,760 Speaker 1: I can't even like cookies, how and where did they 301 00:20:17,800 --> 00:20:20,560 Speaker 1: come from? And it's just, oh, my god, family, there's 302 00:20:20,600 --> 00:20:23,000 Speaker 1: just so much love in the room. It's beautiful and 303 00:20:23,119 --> 00:20:25,639 Speaker 1: it's like an unabashed just like you could just be 304 00:20:26,320 --> 00:20:30,280 Speaker 1: at your most jovial and and frivolous. I love the 305 00:20:30,359 --> 00:20:32,600 Speaker 1: Christmas frivolous. I really love that people are just like, 306 00:20:32,680 --> 00:20:35,920 Speaker 1: what effort that we are together? That is the maximum 307 00:20:35,920 --> 00:20:37,680 Speaker 1: amount of effort that needs to be put in. Didn't 308 00:20:37,680 --> 00:20:40,800 Speaker 1: bring gift, doesn't matter, that's selfish, can't be looking for gifts, 309 00:20:41,119 --> 00:20:44,440 Speaker 1: just like I love ELF. I love this movie so much. 310 00:20:44,560 --> 00:20:48,440 Speaker 1: It's so corny and cheesy and just like silly. It's 311 00:20:48,480 --> 00:20:51,480 Speaker 1: the best. Caitlin, what are we doing? I have a heart. 312 00:20:51,600 --> 00:20:53,720 Speaker 1: I have a lump of coal where my heart should be. 313 00:20:54,280 --> 00:20:58,960 Speaker 1: Also to shout out winter Souls, just again, that's the 314 00:20:59,000 --> 00:21:01,360 Speaker 1: holiday that I saw the right and have celebrated since 315 00:21:01,400 --> 00:21:03,880 Speaker 1: I was a teenager. Not to be a huge edge 316 00:21:03,960 --> 00:21:07,720 Speaker 1: lord over here, but when I was a teen my 317 00:21:08,240 --> 00:21:11,600 Speaker 1: I was raised as an atheist more or less and um, 318 00:21:11,640 --> 00:21:16,639 Speaker 1: but we still like observed Christmas traditions and my not 319 00:21:16,760 --> 00:21:20,800 Speaker 1: a Christian holiday. But at one point my mom was like, 320 00:21:20,920 --> 00:21:24,320 Speaker 1: you know what, fuck it, We're not even celebrating Christmas anymore. 321 00:21:24,640 --> 00:21:29,679 Speaker 1: We're going to celebrate Winter Solstice. And I love it. Yeah, Well, 322 00:21:29,800 --> 00:21:33,280 Speaker 1: especially because most Christmas traditions in the sense of like 323 00:21:33,520 --> 00:21:36,080 Speaker 1: putting up a tree and having a feast and exchanging 324 00:21:36,160 --> 00:21:41,399 Speaker 1: gifts is a very that is just appropriated from the 325 00:21:41,440 --> 00:21:44,199 Speaker 1: pagan celebrations of Winter Solstice. Again, not to be all 326 00:21:44,400 --> 00:21:47,119 Speaker 1: edge lord about things, but my mom was like, you 327 00:21:47,160 --> 00:21:49,359 Speaker 1: know what, We're going to celebrate four days earlier. We're 328 00:21:49,400 --> 00:21:51,560 Speaker 1: gonna have a cool we're gonna have a nice time 329 00:21:52,359 --> 00:21:55,400 Speaker 1: and fun Christmas. And I was like, great, sounds good 330 00:21:55,480 --> 00:21:58,960 Speaker 1: to me. So I've been celebrating Winter Solstice ever since. 331 00:22:00,600 --> 00:22:04,480 Speaker 1: They also used to do like a changing of like 332 00:22:04,640 --> 00:22:08,639 Speaker 1: where where people would like laborers would get to be 333 00:22:08,800 --> 00:22:12,000 Speaker 1: the boss for a day and would like get treated 334 00:22:12,280 --> 00:22:16,800 Speaker 1: like that was like many different holidays throughout history. But 335 00:22:17,359 --> 00:22:21,679 Speaker 1: the leftover version of that is like rich people pretend 336 00:22:21,800 --> 00:22:26,920 Speaker 1: to be generous around around Christmas. That's like what we've got. 337 00:22:27,440 --> 00:22:33,000 Speaker 1: Is this foreshadowing the Amazon charity story? Yeah, yeah, for sure. Alright, 338 00:22:33,080 --> 00:22:34,680 Speaker 1: let's take a quick break and then we'll come back 339 00:22:34,720 --> 00:22:48,080 Speaker 1: and hear what you think is underrated And we're back, 340 00:22:48,680 --> 00:22:54,040 Speaker 1: and Caitlin, you've already just shipped into our holiday hearts. 341 00:22:54,480 --> 00:22:58,720 Speaker 1: Or if you're overrated, take that elf is overrated. But 342 00:22:58,920 --> 00:23:00,720 Speaker 1: why don't you Why don't you tell us what what 343 00:23:00,880 --> 00:23:04,639 Speaker 1: you think is underrated? Well, to continue talking about movies, 344 00:23:04,720 --> 00:23:08,639 Speaker 1: I think a under an underrated movie also set at 345 00:23:08,720 --> 00:23:12,879 Speaker 1: Christmas time is the movie Tangerine. It is set on 346 00:23:13,119 --> 00:23:19,120 Speaker 1: Christmas Day. It's a fun romp and I really enjoy 347 00:23:19,200 --> 00:23:22,840 Speaker 1: to check it out. If you haven't seen Tangerine, definitely 348 00:23:22,960 --> 00:23:27,960 Speaker 1: watched Andreine. It's the classic. All right, let's talk about 349 00:23:28,320 --> 00:23:30,879 Speaker 1: just where where we're at in the in the pandemic. 350 00:23:31,400 --> 00:23:36,960 Speaker 1: There was SNL this weekend. Last weekend was weird. Uh, 351 00:23:38,200 --> 00:23:41,400 Speaker 1: you know, I feel like it's impossible to have another 352 00:23:41,680 --> 00:23:44,119 Speaker 1: like and that's when I knew it was real moment 353 00:23:44,240 --> 00:23:46,800 Speaker 1: anymore like we did with Tom Hanks in the NBA 354 00:23:47,320 --> 00:23:49,879 Speaker 1: the first time around. But this was definitely like a 355 00:23:49,960 --> 00:23:54,000 Speaker 1: weird moment because they didn't cancel it in time to 356 00:23:54,160 --> 00:23:57,280 Speaker 1: not have a show. So it's just like the four 357 00:23:57,840 --> 00:24:01,280 Speaker 1: most famous people came out and we're like hey, and 358 00:24:01,400 --> 00:24:04,040 Speaker 1: then like laughing at each other's jokes in the background, 359 00:24:04,160 --> 00:24:06,120 Speaker 1: but like there wasn't even enough crew to like laugh 360 00:24:06,200 --> 00:24:08,879 Speaker 1: at people's jokes. And Tom Hanks was one of the 361 00:24:08,960 --> 00:24:12,120 Speaker 1: ones there to remind us of that first one. Tom 362 00:24:12,160 --> 00:24:15,200 Speaker 1: Hanks was like one of the first celebrities to get COVID. 363 00:24:15,480 --> 00:24:18,760 Speaker 1: What are you doing here, sir? Go home? You're a 364 00:24:18,920 --> 00:24:22,720 Speaker 1: national treasure. The hell is happening? Was one of the 365 00:24:22,800 --> 00:24:24,680 Speaker 1: first to get it, or like one of the only 366 00:24:24,720 --> 00:24:26,920 Speaker 1: ones who's like admitted he got it. I feel like 367 00:24:28,000 --> 00:24:30,200 Speaker 1: happening to the public. He was one of the first 368 00:24:30,240 --> 00:24:32,760 Speaker 1: ones where we were like, oh, no, we could lose 369 00:24:32,840 --> 00:24:36,720 Speaker 1: Tom Hanks and that would be terrible, right, we haven't 370 00:24:36,760 --> 00:24:39,640 Speaker 1: protected him at all costs. I don't understand what's happening. Yeah. 371 00:24:40,080 --> 00:24:42,159 Speaker 1: Unfortunately we didn't have to take it all in this 372 00:24:42,240 --> 00:24:44,440 Speaker 1: weekend because the NBA seems to be pretending it's not 373 00:24:44,560 --> 00:24:48,240 Speaker 1: real at this point. They're like, uh, yeah, we'll let 374 00:24:48,359 --> 00:24:51,720 Speaker 1: Kyrie back in because we need extra bodies because everybody 375 00:24:51,800 --> 00:24:57,800 Speaker 1: else has caught in COVID, has caught COVID cotton. Sorry. 376 00:25:02,320 --> 00:25:06,440 Speaker 1: The NBA is like the perfect example of us learning 377 00:25:06,480 --> 00:25:08,600 Speaker 1: our lesson and then being like, but we don't care. 378 00:25:09,040 --> 00:25:11,120 Speaker 1: We could get the bubble and it was so perfect. 379 00:25:11,680 --> 00:25:14,679 Speaker 1: It was so like full proof, like we got our games. 380 00:25:15,080 --> 00:25:17,720 Speaker 1: They were good. They figured out how to like digitally 381 00:25:17,800 --> 00:25:21,679 Speaker 1: bring in an audience. Advertisement didn't go anywhere. It was strong, 382 00:25:22,080 --> 00:25:25,280 Speaker 1: and we finished the season. What happened was players missed 383 00:25:25,320 --> 00:25:28,359 Speaker 1: to their families. Very that's fine, you're humans, you would 384 00:25:28,400 --> 00:25:30,720 Speaker 1: be I get it. But for the NBA as it, 385 00:25:31,080 --> 00:25:33,520 Speaker 1: they may be like, well, it's the only fine. For 386 00:25:33,600 --> 00:25:36,600 Speaker 1: us to just be jumping across dates and across country 387 00:25:36,680 --> 00:25:39,840 Speaker 1: lines when we have a full proof method that works 388 00:25:39,960 --> 00:25:42,560 Speaker 1: that we know how to do, is bananas to me. 389 00:25:42,760 --> 00:25:46,560 Speaker 1: I don't understand it. Yeah, for people who aren't like 390 00:25:46,640 --> 00:25:51,520 Speaker 1: big NBA fans, Kyrie Irving was one of the only holdouts, 391 00:25:51,560 --> 00:25:53,359 Speaker 1: the only people who was like, I would rather not 392 00:25:53,560 --> 00:25:57,520 Speaker 1: play in the NBA as one of the greatest like 393 00:25:58,440 --> 00:26:00,480 Speaker 1: shot makers in the history of the game. Him like 394 00:26:01,320 --> 00:26:05,240 Speaker 1: just like pure like watching him play basketball, it's pure joy. 395 00:26:05,720 --> 00:26:08,280 Speaker 1: He was like, I'd rather not do that. I'd rather 396 00:26:08,440 --> 00:26:12,040 Speaker 1: just not get the vaccine. And oh, he's an anti 397 00:26:12,080 --> 00:26:16,080 Speaker 1: factor and that's why. Yes, yeah, yeah, but like not 398 00:26:16,359 --> 00:26:19,160 Speaker 1: he's like, no, I don't subscribe. It's very He's he's 399 00:26:19,240 --> 00:26:22,639 Speaker 1: hard to categorize because he's not like, yeah, I subscribed 400 00:26:22,680 --> 00:26:25,520 Speaker 1: to Q or anything. It's more he's one of those 401 00:26:25,560 --> 00:26:30,400 Speaker 1: personal liberties people, Yeah, my body exactly, and just respect 402 00:26:30,440 --> 00:26:34,399 Speaker 1: my opinion. So anyways, the Brooklyn Nets were like Okay, 403 00:26:34,600 --> 00:26:38,120 Speaker 1: well you can't play them this season, and everyone was like, yeah, 404 00:26:38,320 --> 00:26:40,920 Speaker 1: they did the right thing, and then over the pain 405 00:26:40,960 --> 00:26:43,800 Speaker 1: in the past week as things have started getting really 406 00:26:43,840 --> 00:26:49,840 Speaker 1: bad again, the nets were like, you know, we can't 407 00:26:50,080 --> 00:26:54,159 Speaker 1: make money. Yeah, the cash needs to continue to flow in, 408 00:26:54,320 --> 00:26:57,440 Speaker 1: so bring him back. So they brought they brought him back, 409 00:26:57,640 --> 00:27:00,800 Speaker 1: and he promptly and you're never gonna believe this test 410 00:27:00,840 --> 00:27:06,680 Speaker 1: of positive for COVID, and so the price so As 411 00:27:06,760 --> 00:27:09,760 Speaker 1: did like their best, like one of the three best 412 00:27:09,800 --> 00:27:11,800 Speaker 1: players in the league who plays for them, Kevin Durant, 413 00:27:12,000 --> 00:27:13,959 Speaker 1: But the whole NBA is going down. Kevin dur has 414 00:27:13,960 --> 00:27:16,640 Speaker 1: another one who's like not a spring chicken, what is happening? 415 00:27:17,280 --> 00:27:20,840 Speaker 1: But but, but the the entire the Bulls had to 416 00:27:20,880 --> 00:27:23,280 Speaker 1: take like a full week down because too many of 417 00:27:23,320 --> 00:27:25,960 Speaker 1: their players had COVID for them to continue, they couldn't play. 418 00:27:25,960 --> 00:27:29,200 Speaker 1: There are not no players eligible to play and we're 419 00:27:29,200 --> 00:27:31,919 Speaker 1: still just like Broadways had to close down some shows. 420 00:27:32,040 --> 00:27:35,200 Speaker 1: They were like, it's too many sick people. I just 421 00:27:35,240 --> 00:27:36,800 Speaker 1: don't know how much longer we can be Like, no, 422 00:27:36,960 --> 00:27:41,119 Speaker 1: it's fine, it's yeah, Like the the award for just 423 00:27:41,600 --> 00:27:44,960 Speaker 1: uh the most head up their own ass response was 424 00:27:45,080 --> 00:27:48,040 Speaker 1: the NFL. You're again, you'd be surprised to hear this. 425 00:27:48,600 --> 00:27:52,359 Speaker 1: The NFL like delayed a game by like two days. 426 00:27:52,920 --> 00:27:57,000 Speaker 1: Like remember when we left the office, and we're like, 427 00:27:57,280 --> 00:28:01,320 Speaker 1: all right, so we'll all get on I don't know, 428 00:28:01,880 --> 00:28:04,840 Speaker 1: like an email, I guess, I don't know how else 429 00:28:04,880 --> 00:28:07,160 Speaker 1: we're gonna talk to each other from home. We all 430 00:28:07,440 --> 00:28:09,880 Speaker 1: email each other on Friday and decide if we're gonna 431 00:28:09,920 --> 00:28:12,919 Speaker 1: come back next week, and then like cut to two 432 00:28:13,040 --> 00:28:15,760 Speaker 1: years later at the holiday party, and we're like walking 433 00:28:15,840 --> 00:28:18,520 Speaker 1: in and seeing like our desks exactly like we left 434 00:28:18,600 --> 00:28:21,280 Speaker 1: them that time. That's what the NFL is still doing. 435 00:28:21,560 --> 00:28:24,240 Speaker 1: They're like, yeah, we're gonna just like push bump this 436 00:28:24,320 --> 00:28:27,320 Speaker 1: back to Monday, by which point things should have cooled down. 437 00:28:28,040 --> 00:28:31,600 Speaker 1: So anyways, but it's NFL. Yeah, the raspberries that we 438 00:28:31,720 --> 00:28:34,399 Speaker 1: left in the fridge, they'll be fine because we'll be 439 00:28:34,520 --> 00:28:39,120 Speaker 1: back two days later and no big deal. Yeah, So anyways, 440 00:28:39,160 --> 00:28:41,920 Speaker 1: I am seeing this like in other sort of more 441 00:28:41,960 --> 00:28:46,600 Speaker 1: official places, you know, there are big d democrats who 442 00:28:46,680 --> 00:28:51,720 Speaker 1: are now like rejecting the protective steps and like laws 443 00:28:51,800 --> 00:28:56,000 Speaker 1: being passed restrict behavior and protect public health. It just 444 00:28:56,080 --> 00:28:59,720 Speaker 1: feels like there's a general mainstreaming of the uh like 445 00:29:00,600 --> 00:29:05,240 Speaker 1: fuck the government and these precautions response to everyone's general 446 00:29:05,320 --> 00:29:09,080 Speaker 1: exhaustion with like the back and forth of the virus, 447 00:29:09,520 --> 00:29:11,600 Speaker 1: which is again the back and forth is like something 448 00:29:12,080 --> 00:29:15,960 Speaker 1: they were you know, they used that poetic metaphor that 449 00:29:16,320 --> 00:29:18,200 Speaker 1: they really fell in love with, like the hammer and 450 00:29:18,280 --> 00:29:21,080 Speaker 1: the dance. People really liked that. But that was the idea, 451 00:29:21,160 --> 00:29:23,360 Speaker 1: is that like you're gonna have to like shut things 452 00:29:23,440 --> 00:29:26,840 Speaker 1: down and then slowly like come out and then shut 453 00:29:26,920 --> 00:29:29,760 Speaker 1: things down again when things get bad. But people are 454 00:29:30,800 --> 00:29:33,640 Speaker 1: getting mad at the idea that we have to close 455 00:29:33,680 --> 00:29:37,760 Speaker 1: down again. Brian's delter Ak the Bald Guy on CNN. 456 00:29:38,160 --> 00:29:41,680 Speaker 1: It was basically like why should we shut down if 457 00:29:41,720 --> 00:29:44,640 Speaker 1: the average vaccinated person isn't going to get that sick. 458 00:29:45,000 --> 00:29:47,920 Speaker 1: He was interviewing a health expert from the Atlantic and 459 00:29:48,040 --> 00:29:52,200 Speaker 1: she was like, oh, well, you know not everyone's vaccinated, 460 00:29:52,400 --> 00:29:54,959 Speaker 1: and he like interrupted, was like, yeah, well they screwed up. 461 00:29:55,760 --> 00:30:02,160 Speaker 1: He's a pretty radical thing to say, nap, Yeah, more 462 00:30:02,240 --> 00:30:04,760 Speaker 1: people will die, so what is their fault? Is a 463 00:30:04,880 --> 00:30:08,840 Speaker 1: very childish like way to play with lives. It's a 464 00:30:08,880 --> 00:30:12,400 Speaker 1: lot of those people are gonna be doctors, and doctors 465 00:30:12,480 --> 00:30:16,960 Speaker 1: who are like already, like you know, it's just like 466 00:30:17,120 --> 00:30:21,640 Speaker 1: such a really like completely narrow and like hasn't experienced 467 00:30:21,800 --> 00:30:26,320 Speaker 1: this up close in any way like perspective where his 468 00:30:26,520 --> 00:30:31,920 Speaker 1: vision of people who are vaccinated and responsible are him 469 00:30:32,000 --> 00:30:34,760 Speaker 1: and like his friends who work at the New York 470 00:30:34,840 --> 00:30:38,600 Speaker 1: Times and like other like media outlets in New York, 471 00:30:38,680 --> 00:30:40,840 Speaker 1: and then like the people who aren't vaccinated. He's like 472 00:30:40,960 --> 00:30:43,880 Speaker 1: picturing you know, Facebook groups, but it's like no, this 473 00:30:44,360 --> 00:30:47,720 Speaker 1: it's not neat, like it doesn't cut down easily like that. 474 00:30:48,360 --> 00:30:54,360 Speaker 1: And she, uh, the health expert was like, well, yeah, 475 00:30:54,360 --> 00:30:57,600 Speaker 1: but they're kids who are unvaccinated. There are all the 476 00:30:57,760 --> 00:30:59,840 Speaker 1: He was like, oh, I meant adults. I was only 477 00:31:00,000 --> 00:31:03,400 Speaker 1: talking about adults. It's like, oh, but like does the 478 00:31:03,640 --> 00:31:05,520 Speaker 1: are you gonna tell the virus that like that's all 479 00:31:05,560 --> 00:31:08,480 Speaker 1: you meant because that's like kind of not how it 480 00:31:08,560 --> 00:31:13,360 Speaker 1: work is my problem. It's also you know again me know, compromised, 481 00:31:13,480 --> 00:31:17,200 Speaker 1: Like it's just so many very innocent people who are 482 00:31:17,440 --> 00:31:20,320 Speaker 1: just trying to get through life. And it's also like 483 00:31:20,960 --> 00:31:23,560 Speaker 1: if if we are able to go back into quarantine, 484 00:31:23,680 --> 00:31:27,920 Speaker 1: we can stop the spread faster, like the the idea 485 00:31:28,000 --> 00:31:30,480 Speaker 1: that like oh well, the like it's then it's still happening, though, 486 00:31:30,880 --> 00:31:33,440 Speaker 1: it's still something we all have to deal with. It 487 00:31:33,600 --> 00:31:35,080 Speaker 1: makes so much more sense to be like, what if 488 00:31:35,120 --> 00:31:38,840 Speaker 1: we just again three months, three months, pay the people 489 00:31:38,880 --> 00:31:41,240 Speaker 1: who can't afford to work and just and then we 490 00:31:41,320 --> 00:31:44,200 Speaker 1: could better assess and deal with the problem afterwards. And 491 00:31:44,320 --> 00:31:47,000 Speaker 1: it's so strange for us as a country to just 492 00:31:47,120 --> 00:31:49,720 Speaker 1: have to like voluntarily, I'm starting to see people like 493 00:31:49,800 --> 00:31:52,680 Speaker 1: I had I think four friends in the last like 494 00:31:52,800 --> 00:31:55,240 Speaker 1: two or three days were like, oh, I have COVID, 495 00:31:55,480 --> 00:31:58,200 Speaker 1: you know, thank goodness, I'm vascinated or whatever. But I'm 496 00:31:58,240 --> 00:32:01,240 Speaker 1: definitely like I've canceled off your like party plans and 497 00:32:01,280 --> 00:32:04,560 Speaker 1: no longer going out, back to pods, back to you know, 498 00:32:04,760 --> 00:32:07,400 Speaker 1: just what we understand to be as safe as possible. 499 00:32:07,800 --> 00:32:09,360 Speaker 1: And I just think it makes sense to sort of 500 00:32:09,440 --> 00:32:12,800 Speaker 1: lean into that theory as opposed to I want to 501 00:32:12,800 --> 00:32:14,000 Speaker 1: go back to the way things used to be. I 502 00:32:14,000 --> 00:32:15,520 Speaker 1: have no desire to go back to the way things 503 00:32:16,240 --> 00:32:17,920 Speaker 1: used to be. And we have to wrap our heads 504 00:32:17,920 --> 00:32:21,080 Speaker 1: around the fact that, like things have to change going forward, 505 00:32:21,160 --> 00:32:24,440 Speaker 1: we can't go backwards, Like wouldn't it be easier this 506 00:32:24,640 --> 00:32:28,360 Speaker 1: time around that we like we got accustomed to lockdown 507 00:32:28,480 --> 00:32:32,080 Speaker 1: and like we and sure it wasn't ideal, like no 508 00:32:32,200 --> 00:32:36,480 Speaker 1: one wants to live this way, but what's the alternative? 509 00:32:36,840 --> 00:32:40,880 Speaker 1: Maybe dying like that doesn't sound great either, But yeah, 510 00:32:40,960 --> 00:32:44,720 Speaker 1: if it's fascinating to me. People's reluctance to just like 511 00:32:46,120 --> 00:32:50,080 Speaker 1: play it safe and play it smart for a shorter 512 00:32:50,240 --> 00:32:56,120 Speaker 1: amount of time versus just elongating this whole like again 513 00:32:56,200 --> 00:32:58,800 Speaker 1: like the going back, like, oh, things are slightly better, 514 00:32:58,840 --> 00:33:00,719 Speaker 1: so we can open up, but putting up made things 515 00:33:00,800 --> 00:33:02,640 Speaker 1: worse again, so now we have to lock back down. 516 00:33:02,760 --> 00:33:04,960 Speaker 1: And it's like we wouldn't have to like Teeter Totter 517 00:33:05,000 --> 00:33:08,360 Speaker 1: in this way if we just like could commit to 518 00:33:08,680 --> 00:33:13,360 Speaker 1: the I'm such a homebody already, and so you know, 519 00:33:13,560 --> 00:33:16,080 Speaker 1: in the interest of like extending grace to everyone, I 520 00:33:16,240 --> 00:33:19,160 Speaker 1: completely understand some people are like this is untenable. If 521 00:33:19,200 --> 00:33:21,600 Speaker 1: I have to be inside my own dwelling for another 522 00:33:21,760 --> 00:33:25,760 Speaker 1: like week, I will just explode from this being inside nous. 523 00:33:25,880 --> 00:33:27,720 Speaker 1: Like some people are just really want to be out 524 00:33:27,760 --> 00:33:30,040 Speaker 1: in the world, and that's like they're happy state is 525 00:33:30,120 --> 00:33:32,200 Speaker 1: just being out, whether that's you know, in nature and 526 00:33:32,280 --> 00:33:35,000 Speaker 1: city or wherever. So I have some grace for being 527 00:33:35,040 --> 00:33:37,160 Speaker 1: like I'm done with this. I want it to be over, 528 00:33:37,360 --> 00:33:40,479 Speaker 1: and especially if you're a person who's done quote unquote 529 00:33:40,520 --> 00:33:43,080 Speaker 1: everything in the right way, then it's like, how I 530 00:33:43,200 --> 00:33:45,440 Speaker 1: can't do anything more than what I've done to like 531 00:33:45,520 --> 00:33:48,600 Speaker 1: get back out there. But I also think, like, we're 532 00:33:48,640 --> 00:33:50,880 Speaker 1: all going through it together, and if you can, if 533 00:33:50,920 --> 00:33:53,120 Speaker 1: you're one of those people, if you can just be like, 534 00:33:54,440 --> 00:33:56,440 Speaker 1: if we just try as many of us to do 535 00:33:56,560 --> 00:33:59,760 Speaker 1: it the right way together, then hopefully things will end. 536 00:33:59,760 --> 00:34:01,600 Speaker 1: See in her, I know it's frustrating seeing people like 537 00:34:01,760 --> 00:34:05,600 Speaker 1: just not care and not have to suffer consequences. It's 538 00:34:05,640 --> 00:34:07,280 Speaker 1: a small group of people, but they're out there and 539 00:34:07,360 --> 00:34:10,000 Speaker 1: that's frustrating. But you know, we're all we're all going 540 00:34:10,040 --> 00:34:12,719 Speaker 1: through it together conceivably, so we just just push a 541 00:34:12,760 --> 00:34:16,480 Speaker 1: little bit harder. Yeah. The thing I'm I've run out 542 00:34:16,520 --> 00:34:19,719 Speaker 1: of patients with is, uh, these dang doctors telling me 543 00:34:19,800 --> 00:34:23,759 Speaker 1: to wear masks. No, the people the people who are 544 00:34:23,920 --> 00:34:28,480 Speaker 1: like anti mask at this point, and like like that 545 00:34:28,640 --> 00:34:30,560 Speaker 1: really seems to be the thing that we've gotten the 546 00:34:30,680 --> 00:34:35,040 Speaker 1: most casual with is like people just like I don't know, 547 00:34:35,160 --> 00:34:36,719 Speaker 1: they show up to a thing with a mask and 548 00:34:36,800 --> 00:34:39,200 Speaker 1: then like take it off and it's just like what 549 00:34:40,040 --> 00:34:43,359 Speaker 1: you're not that doesn't that's not how it works. That's 550 00:34:43,520 --> 00:34:46,359 Speaker 1: that's not the thing. The masks. You're supposed to keep 551 00:34:46,360 --> 00:34:50,799 Speaker 1: the masks on. Yeah, just do it. Yeah, all right, Well, 552 00:34:50,920 --> 00:34:52,640 Speaker 1: let's talk about the man who is going to save 553 00:34:52,880 --> 00:34:58,640 Speaker 1: us from all of this. That is Jeff, Jeff, you bezos. 554 00:34:59,280 --> 00:35:02,440 Speaker 1: You might have seeing these, I know I have like 555 00:35:02,680 --> 00:35:06,760 Speaker 1: the it's like Amazon Smile, which allows people to donate 556 00:35:06,840 --> 00:35:11,600 Speaker 1: to charity without the added hassle of donating to charity 557 00:35:12,320 --> 00:35:19,440 Speaker 1: like this is a scam and and scams are usually illegal. No, no, okay, 558 00:35:19,480 --> 00:35:22,279 Speaker 1: I know this is Amazon doing something out of the 559 00:35:22,320 --> 00:35:29,720 Speaker 1: goodness of their warm corporate heart. So they will donate 560 00:35:29,880 --> 00:35:33,800 Speaker 1: point five percent of the purchase price of something that 561 00:35:33,920 --> 00:35:36,800 Speaker 1: you buy to a charity of your choice. And almost 562 00:35:36,840 --> 00:35:40,640 Speaker 1: a million charitable organizations have partnered with Amazon Smile, which 563 00:35:40,680 --> 00:35:44,399 Speaker 1: you may recognizes way too many charitable organizations to vet. 564 00:35:45,719 --> 00:35:48,960 Speaker 1: So as of was reported that Amazon Smile had raised 565 00:35:49,040 --> 00:35:52,280 Speaker 1: more than two fifteen million dollars for charity since it began, 566 00:35:53,280 --> 00:35:58,040 Speaker 1: which it died like it it seems low, Like that 567 00:35:58,320 --> 00:36:01,600 Speaker 1: sounds great for like a community ex sale, but anything 568 00:36:01,680 --> 00:36:06,120 Speaker 1: involving Amazon. That is a third of what Amazon makes 569 00:36:06,239 --> 00:36:11,320 Speaker 1: every day. That is. That is what they've pulled together 570 00:36:11,640 --> 00:36:19,680 Speaker 1: since seven freaking years. And they're also making headlines this 571 00:36:19,800 --> 00:36:22,480 Speaker 1: week or in the past couple of weeks for reportedly 572 00:36:22,600 --> 00:36:27,000 Speaker 1: donating to anti vax or groups. So and remember that 573 00:36:27,280 --> 00:36:31,640 Speaker 1: the consumer doesn't like donate anything Amazon Like. The money 574 00:36:32,000 --> 00:36:35,040 Speaker 1: just goes into a fund that Amazon then chooses like 575 00:36:35,160 --> 00:36:37,440 Speaker 1: who it goes to. And they were like, ah, we 576 00:36:37,600 --> 00:36:42,800 Speaker 1: got it, antivax or groups? What that is? Okay? Sorry, 577 00:36:42,920 --> 00:36:46,160 Speaker 1: just to compare what that two million is, that's like 578 00:36:46,320 --> 00:36:53,080 Speaker 1: a Marvel movie and a half. Yeah that in seven years? Yeah, 579 00:36:53,440 --> 00:36:56,560 Speaker 1: I Amazon, we have to We have talked about a 580 00:36:56,600 --> 00:36:59,399 Speaker 1: lot of things. Sweetie. I don't understand where is the money? 581 00:36:59,640 --> 00:37:01,680 Speaker 1: This is people need to just go Jeffy, like, where's 582 00:37:01,680 --> 00:37:04,160 Speaker 1: this money? What are you doing with it? Because it's 583 00:37:04,480 --> 00:37:07,240 Speaker 1: not going to your workers, it's not going to improve 584 00:37:07,280 --> 00:37:10,839 Speaker 1: your factories. You have whole factories without an air conditioning unit. 585 00:37:10,960 --> 00:37:14,080 Speaker 1: You sell those on your site. What's the problem, Jeff. 586 00:37:14,440 --> 00:37:16,399 Speaker 1: We gotta square up with Jeff. We gotta start calling 587 00:37:16,480 --> 00:37:18,879 Speaker 1: him out. He has to be uncomfortable wherever he goes. 588 00:37:19,040 --> 00:37:21,320 Speaker 1: Just like, excuse me, sir, it's not cool. It's not 589 00:37:21,360 --> 00:37:23,399 Speaker 1: cool for you to buy up a block of real 590 00:37:23,560 --> 00:37:26,640 Speaker 1: estate and make a mega mansion in a community. It's weird. 591 00:37:27,040 --> 00:37:29,319 Speaker 1: It's not a mansion. Community is just a regular city 592 00:37:29,360 --> 00:37:33,239 Speaker 1: block in Boston. You shouldn't be here. You have Yes, 593 00:37:33,920 --> 00:37:37,799 Speaker 1: he took two mansions and made it one super mansion. Um, 594 00:37:38,440 --> 00:37:41,040 Speaker 1: because he's Jeff, he'll be in the house probably two 595 00:37:41,080 --> 00:37:43,880 Speaker 1: weeks out of the year. What is going on? I 596 00:37:44,160 --> 00:37:47,680 Speaker 1: hate Jeff Bezos like a passion. What are you doing? 597 00:37:48,440 --> 00:37:51,719 Speaker 1: So you might have seen these like little it's like 598 00:37:51,840 --> 00:37:55,520 Speaker 1: three pictures side by side. It looks like it's, you know, 599 00:37:55,920 --> 00:37:59,359 Speaker 1: more articles you may enjoy, like underneath the New York 600 00:37:59,400 --> 00:38:04,480 Speaker 1: Times article reading it's actually like a ad for Amazon Smile. 601 00:38:05,000 --> 00:38:09,279 Speaker 1: The pictures usually make it look like Amazon Smile is 602 00:38:09,360 --> 00:38:14,319 Speaker 1: helping kids animals and kids holding animals as far as 603 00:38:14,520 --> 00:38:17,640 Speaker 1: I can tell, like that's it's like a cute puppy 604 00:38:18,160 --> 00:38:20,719 Speaker 1: kids in a classroom and then a child holding a 605 00:38:20,840 --> 00:38:26,480 Speaker 1: baby goat. But they, yeah, just garbage organizations on their 606 00:38:28,280 --> 00:38:33,239 Speaker 1: capital storming white supremacist group the Oath Keepers. You get 607 00:38:33,320 --> 00:38:37,680 Speaker 1: some money. More than forty organizations listed on the Amazon 608 00:38:37,760 --> 00:38:43,360 Speaker 1: small platform publicly opposed lgbt Q rights and equality, including 609 00:38:43,400 --> 00:38:47,759 Speaker 1: the Billy Graham Evangelistic Association, which is run by his 610 00:38:47,880 --> 00:38:52,279 Speaker 1: son who's called Islam evil and claimed that Satan is 611 00:38:52,360 --> 00:38:56,719 Speaker 1: the architect of same sex marriage. So there, you know, 612 00:38:57,239 --> 00:38:59,440 Speaker 1: and then on top of all this, like people have 613 00:38:59,560 --> 00:39:04,400 Speaker 1: done the search and found that when people, you know, 614 00:39:04,560 --> 00:39:07,319 Speaker 1: see check off the box like Okay, I am gonna 615 00:39:07,600 --> 00:39:11,000 Speaker 1: make this Amazon purchase through Amazon Smile, like there is 616 00:39:11,239 --> 00:39:14,319 Speaker 1: something gets lit up in their brain and it makes 617 00:39:14,400 --> 00:39:17,359 Speaker 1: them feel good, which sure, like everybody needs to feel 618 00:39:17,400 --> 00:39:22,239 Speaker 1: good about something right now, but like it's first of all, 619 00:39:22,320 --> 00:39:26,520 Speaker 1: going to these horror, horrifying organizations, and it's so little 620 00:39:26,840 --> 00:39:31,560 Speaker 1: is going to these horrifying organizations. It's not you funding it, 621 00:39:31,760 --> 00:39:34,839 Speaker 1: it's Amazon funding it, so they get the right off. 622 00:39:35,040 --> 00:39:38,120 Speaker 1: And also it's making people less likely to give to 623 00:39:38,320 --> 00:39:43,520 Speaker 1: other organizations, like other charitable organizations. They're like, I donated 624 00:39:44,280 --> 00:39:50,560 Speaker 1: point five percent of my forty Amazon purchase, so I've 625 00:39:50,760 --> 00:39:54,919 Speaker 1: done my due diligence this holiday season to be charitable. Yeah, 626 00:39:55,239 --> 00:40:00,239 Speaker 1: it's like yeah, but it does, like that's is how 627 00:40:00,440 --> 00:40:03,640 Speaker 1: the human brain works, and they're taking advantage of it. 628 00:40:04,280 --> 00:40:08,319 Speaker 1: By the way, they also came out that in one 629 00:40:08,400 --> 00:40:13,080 Speaker 1: of the nonprofits participating in Amazon Smile was a project Veritas, 630 00:40:14,480 --> 00:40:17,560 Speaker 1: just like do you not care? What do I wonder 631 00:40:17,640 --> 00:40:19,759 Speaker 1: what the criteria? Like, how do you become a part 632 00:40:19,840 --> 00:40:22,520 Speaker 1: of Amazon smile? Is it one of those things where 633 00:40:22,560 --> 00:40:24,640 Speaker 1: it's like you could just register here, become apart in 634 00:40:24,800 --> 00:40:29,400 Speaker 1: like we'll donate five percent people's purchases or is it curated? 635 00:40:30,080 --> 00:40:33,279 Speaker 1: It seems like it should be curated, right, It's well 636 00:40:33,400 --> 00:40:38,120 Speaker 1: someone again, because we know how our corporations work. We 637 00:40:38,200 --> 00:40:39,800 Speaker 1: know that it's so much easier for them to just 638 00:40:39,880 --> 00:40:41,040 Speaker 1: be like just put it on a list and go 639 00:40:41,520 --> 00:40:43,840 Speaker 1: as someone to actually sit here and verify this stuff. 640 00:40:44,120 --> 00:40:46,240 Speaker 1: That's time and money we are not willing to spend. 641 00:40:46,640 --> 00:40:48,279 Speaker 1: We have it, We're not going to do it, So 642 00:40:48,320 --> 00:40:50,520 Speaker 1: it doesn't It wouldn't surprise me if that was the case. 643 00:40:50,680 --> 00:40:54,319 Speaker 1: But yet someone absolutely should be verifying way because then 644 00:40:54,560 --> 00:40:57,560 Speaker 1: you could literally be anyone. This is so wild to me. 645 00:40:57,760 --> 00:41:01,239 Speaker 1: I don't I've never used Amazon SMALLab. I don't think 646 00:41:01,440 --> 00:41:03,440 Speaker 1: because they it's always when I'm like, why are you 647 00:41:03,440 --> 00:41:07,400 Speaker 1: going through third party when you could directly donate you know, folks? 648 00:41:07,520 --> 00:41:11,440 Speaker 1: Or what it works is that you, you, as the consumer, 649 00:41:11,640 --> 00:41:17,120 Speaker 1: allocate which charity your point five of your purchase value 650 00:41:17,600 --> 00:41:20,919 Speaker 1: goes toward, which I guess is a little bit better 651 00:41:21,080 --> 00:41:25,279 Speaker 1: than like you having no say over it. But if 652 00:41:25,600 --> 00:41:31,280 Speaker 1: every charity imaginable has access to receive funds from this Amazon, 653 00:41:32,400 --> 00:41:37,719 Speaker 1: then it also defeats the purpose. Yeah, and not only 654 00:41:37,880 --> 00:41:40,799 Speaker 1: like people are pointing out that it like makes our 655 00:41:40,880 --> 00:41:43,919 Speaker 1: brain chemicals light up and make us think we've done something. 656 00:41:44,200 --> 00:41:46,719 Speaker 1: Let's not let Amazon think they're doing a good thing 657 00:41:46,880 --> 00:41:50,160 Speaker 1: by doing this. Ship, like, don't don't participating in this 658 00:41:50,280 --> 00:41:54,200 Speaker 1: and let Amazon feel like we're really and this is 659 00:41:54,400 --> 00:41:58,680 Speaker 1: why our logo is a smile, because we helped by 660 00:41:58,880 --> 00:42:03,880 Speaker 1: indiscriminately just like spraying money at anyone who claims that 661 00:42:04,000 --> 00:42:08,359 Speaker 1: they're fucking nonprofit, like not even a full day's worth 662 00:42:08,440 --> 00:42:12,359 Speaker 1: of money. Yeah, no, no, no, no, no no. They 663 00:42:12,640 --> 00:42:16,480 Speaker 1: this is them like using the rounding error that happens 664 00:42:16,520 --> 00:42:19,000 Speaker 1: when they let people go to the bathroom, Like they're like, 665 00:42:20,000 --> 00:42:24,400 Speaker 1: you lose this much money every time someone peas, and 666 00:42:24,520 --> 00:42:27,759 Speaker 1: they're like, all right, well we'll give that much money 667 00:42:27,800 --> 00:42:33,160 Speaker 1: away to charity. So yeah, So again I'm gonna say Amazon, 668 00:42:33,239 --> 00:42:36,840 Speaker 1: not that not not great company. Mhm doesn't know what 669 00:42:36,920 --> 00:42:43,280 Speaker 1: a tornado warning is, so company pretty ship. Yeah, alright, 670 00:42:43,360 --> 00:42:46,520 Speaker 1: let's take a quick break and uh, we'll come back 671 00:42:46,560 --> 00:43:04,080 Speaker 1: and talk about some great holiday gift ideas. And we're back. 672 00:43:04,560 --> 00:43:09,120 Speaker 1: And you know, before we started recording, Caitlin Joel, you 673 00:43:09,200 --> 00:43:11,279 Speaker 1: guys were both like, what I I can use some 674 00:43:11,400 --> 00:43:15,160 Speaker 1: gift ideas, specifically gifts that have an anti five G 675 00:43:15,760 --> 00:43:25,960 Speaker 1: message to them. Uh. Yeah. So the anti five G 676 00:43:26,160 --> 00:43:29,280 Speaker 1: movement has been going on, like even before the pandemic, 677 00:43:29,880 --> 00:43:33,239 Speaker 1: but it was you know, mostly boring people didn't really 678 00:43:33,320 --> 00:43:36,360 Speaker 1: have to care that much. But it started really ramping up. 679 00:43:36,400 --> 00:43:40,240 Speaker 1: In one, conspiracy theorists you know, lashed onto the idea 680 00:43:40,320 --> 00:43:45,279 Speaker 1: that five G caused COVID, which it's it seems weird 681 00:43:45,480 --> 00:43:48,800 Speaker 1: that that they were like, oh yeah, that one, Like 682 00:43:48,960 --> 00:43:52,480 Speaker 1: they just they were just looking for waiting around and 683 00:43:52,560 --> 00:43:56,719 Speaker 1: then matched the two their conspiracy theory of choice to 684 00:43:56,760 --> 00:44:00,279 Speaker 1: the biggest bad thing happening at a given moment. People 685 00:44:00,280 --> 00:44:04,680 Speaker 1: are like, oh, damn, that does make sense, uh, instead 686 00:44:04,719 --> 00:44:08,520 Speaker 1: of wow, that seems weirdly opportunistic and like it doesn't 687 00:44:08,560 --> 00:44:11,920 Speaker 1: make any sense since the things that you were warning 688 00:44:12,120 --> 00:44:14,800 Speaker 1: us would happen when you were concerned about it in 689 00:44:14,840 --> 00:44:18,279 Speaker 1: the first place, where not a viral pandemic. As far 690 00:44:18,320 --> 00:44:21,640 Speaker 1: as I can tell. But so one thing that I 691 00:44:21,719 --> 00:44:23,919 Speaker 1: have to warn you guys about, since it does seem 692 00:44:24,000 --> 00:44:25,759 Speaker 1: like I can't stop you guys from going out and 693 00:44:25,800 --> 00:44:29,760 Speaker 1: buying Anti five G merchandise for people you're buying holiday 694 00:44:30,040 --> 00:44:34,439 Speaker 1: winter Solstice gifts for, is that there's been this boom 695 00:44:34,480 --> 00:44:37,759 Speaker 1: and Anti five G merchandise that and some of them 696 00:44:38,239 --> 00:44:41,640 Speaker 1: themselves are emitting low levels of radiation the products. There's 697 00:44:41,760 --> 00:44:46,239 Speaker 1: radiation in the Anti five G. So when you're protecting 698 00:44:46,320 --> 00:44:51,800 Speaker 1: yourself from imaginary race, you're actually slowly killing yourself with 699 00:44:52,200 --> 00:45:01,200 Speaker 1: a buffottled because they they're serious about protecting you from 700 00:45:01,239 --> 00:45:03,520 Speaker 1: those rays and the only way to protect you from 701 00:45:03,560 --> 00:45:07,000 Speaker 1: those raises with other rays. Unfortunately, those rays aren't real, 702 00:45:07,120 --> 00:45:12,120 Speaker 1: but the other rays are. So you're actually, you know, dude, 703 00:45:12,200 --> 00:45:14,600 Speaker 1: looking at some of these products. It's a wild So 704 00:45:14,760 --> 00:45:17,680 Speaker 1: one is a like a baby wrap bump things, so 705 00:45:17,800 --> 00:45:21,320 Speaker 1: it's like a wrap that goes around a pregnant woman's stomach. 706 00:45:21,600 --> 00:45:25,480 Speaker 1: We've got an umbrella. Yeah, you're just carrying around an 707 00:45:25,560 --> 00:45:28,920 Speaker 1: umbrella all the time. Very goth of you. Um here's 708 00:45:28,960 --> 00:45:34,320 Speaker 1: my real problem. Listen. They used to like die things 709 00:45:34,400 --> 00:45:41,440 Speaker 1: green with arsenic right, creating a beautiful green color spectacular dresses, watches, 710 00:45:41,600 --> 00:45:43,600 Speaker 1: you name it, you could get it in this green. 711 00:45:44,040 --> 00:45:47,400 Speaker 1: I respect people who were vat which literally would like 712 00:45:47,440 --> 00:45:50,200 Speaker 1: dissolve your skin and give you like horrible sores and stuff, 713 00:45:50,320 --> 00:45:53,160 Speaker 1: because at least the product you're getting most beautiful. And 714 00:45:55,120 --> 00:45:58,200 Speaker 1: why am I looking? These are all you would not 715 00:45:58,280 --> 00:46:02,040 Speaker 1: want to wear or hold or be associated with literally 716 00:46:02,280 --> 00:46:05,800 Speaker 1: any of these products. The Quantum pendant, I've got to admit, 717 00:46:06,120 --> 00:46:09,600 Speaker 1: is pretty handsome. That's no no. When you're getting better, 718 00:46:09,800 --> 00:46:14,800 Speaker 1: go get a witcher like necklace Deckie Wolf, Oh my goodness, 719 00:46:15,520 --> 00:46:17,480 Speaker 1: but don't five g on me with it. Don't tread 720 00:46:17,520 --> 00:46:22,120 Speaker 1: on me flags like honestly. Yeah. So there's also the 721 00:46:22,400 --> 00:46:26,200 Speaker 1: one the products that don't emit radiation, so they have 722 00:46:26,320 --> 00:46:30,440 Speaker 1: that going for him. But there's one featuring a it 723 00:46:30,480 --> 00:46:34,840 Speaker 1: says five G tower versus horsepower, and it has a 724 00:46:35,080 --> 00:46:39,680 Speaker 1: car like using a chain I guess to pull down 725 00:46:39,920 --> 00:46:42,520 Speaker 1: a cell cell phone tower, which was the thing that 726 00:46:42,640 --> 00:46:45,080 Speaker 1: was happening while back, and it is a good way 727 00:46:45,160 --> 00:46:47,600 Speaker 1: to get put in jail. And people who buy this 728 00:46:47,719 --> 00:46:49,600 Speaker 1: are the same folks that have like the Calvin and 729 00:46:49,680 --> 00:46:54,520 Speaker 1: Hobbs peeing on whatever car emoji they've been like, that's 730 00:46:54,560 --> 00:46:56,880 Speaker 1: not fair to the people who have the Calvin Hobbs 731 00:46:56,920 --> 00:47:05,480 Speaker 1: peeing on. I think it's sweeping relation people. What is 732 00:47:05,600 --> 00:47:10,800 Speaker 1: going on? Oh man, oh man, I imagine I just 733 00:47:11,000 --> 00:47:13,040 Speaker 1: want more of these people who have woken up from 734 00:47:13,120 --> 00:47:16,120 Speaker 1: this kind of crazy stuff, who believed in the five 735 00:47:16,239 --> 00:47:18,440 Speaker 1: G or we're part of Q and on, like the 736 00:47:18,520 --> 00:47:20,640 Speaker 1: stories of people being like and then I woke up 737 00:47:20,680 --> 00:47:23,080 Speaker 1: and was like, oh, it's I crazy for six months? 738 00:47:23,120 --> 00:47:25,879 Speaker 1: How did this happen? In the unrattling of it? It's 739 00:47:26,080 --> 00:47:28,520 Speaker 1: the Internet is a wild thing that's still so much 740 00:47:28,560 --> 00:47:32,040 Speaker 1: in its infancy, and clearly we're learning the power it 741 00:47:32,080 --> 00:47:35,160 Speaker 1: can quickly like take ahold of an entire community of 742 00:47:35,280 --> 00:47:41,200 Speaker 1: people and they can believe essentially whatever, like no fact 743 00:47:41,360 --> 00:47:45,320 Speaker 1: checking or backing up, or worse, the places they go 744 00:47:45,520 --> 00:47:48,719 Speaker 1: to get their facts are not accredited, and you kind 745 00:47:48,719 --> 00:47:51,480 Speaker 1: of get consumed in a wormhole of that stuff. It is. 746 00:47:52,120 --> 00:47:55,560 Speaker 1: I how can you think that five G which almost 747 00:47:55,600 --> 00:47:59,840 Speaker 1: everyone is around everyone like you have a phone? I 748 00:48:00,040 --> 00:48:01,879 Speaker 1: And how are we doing, Joel? How are we doing? 749 00:48:02,080 --> 00:48:04,960 Speaker 1: We're all all around it? How how's everyone feeling? You know? 750 00:48:06,400 --> 00:48:18,560 Speaker 1: Thank you? I like I've been pretty aware of like 751 00:48:18,760 --> 00:48:22,279 Speaker 1: the stuff that was in that whatever that documentary was 752 00:48:22,320 --> 00:48:24,960 Speaker 1: about how bad social networks are for us, and the 753 00:48:25,080 --> 00:48:28,680 Speaker 1: Netflix one yeah designed it, who were like I'd never 754 00:48:28,760 --> 00:48:33,839 Speaker 1: let my kids use it. I'm like, yeah, I think 755 00:48:33,880 --> 00:48:36,800 Speaker 1: there's also you know, so there's like that is the 756 00:48:37,400 --> 00:48:40,480 Speaker 1: mechanical way of how it's getting like the bad information 757 00:48:40,640 --> 00:48:44,080 Speaker 1: to us. I just also think that like broadly, there's 758 00:48:44,120 --> 00:48:47,200 Speaker 1: like bad ship happening in the background that like is 759 00:48:47,280 --> 00:48:51,360 Speaker 1: worse and like more damaging to our like underlying mental 760 00:48:51,480 --> 00:48:57,359 Speaker 1: health than we had realized. And and like suddenly we're 761 00:48:57,400 --> 00:49:00,360 Speaker 1: seeing you know, some of the some of these products. Sorry, 762 00:49:00,960 --> 00:49:05,480 Speaker 1: like you mentioned it's like a a umbrella or a 763 00:49:05,600 --> 00:49:08,960 Speaker 1: hat that like blocks out the bad five G beams 764 00:49:09,040 --> 00:49:14,040 Speaker 1: and like it's a popular purchase, a tinfoil hat. Like 765 00:49:14,160 --> 00:49:16,560 Speaker 1: that's where we're seeing. We're seeing the popularization of tin 766 00:49:16,640 --> 00:49:20,400 Speaker 1: foil hats, and like this is you know that we 767 00:49:20,600 --> 00:49:24,360 Speaker 1: are seeing what what it is to be in a 768 00:49:24,480 --> 00:49:27,520 Speaker 1: world that is like you know, governed by a system 769 00:49:27,560 --> 00:49:33,000 Speaker 1: and like fully like kind of swallowed by you know, 770 00:49:33,160 --> 00:49:36,560 Speaker 1: this capitalist sort of paradigm that is very bad for 771 00:49:36,880 --> 00:49:39,759 Speaker 1: our mental health, Like where we've like had all of 772 00:49:39,840 --> 00:49:46,160 Speaker 1: their human relationships now mediated by corporations, trying to extract 773 00:49:46,320 --> 00:49:49,840 Speaker 1: value from us, like you know, whether it's like romantic 774 00:49:50,120 --> 00:49:55,280 Speaker 1: or familial, or you know, just any sort of context 775 00:49:55,480 --> 00:50:00,120 Speaker 1: that used to be humanizing and allow us to have 776 00:50:00,239 --> 00:50:04,000 Speaker 1: a break from thinking of everything as like a zero 777 00:50:04,160 --> 00:50:08,520 Speaker 1: sum game of like winner take all, like has been 778 00:50:09,160 --> 00:50:11,760 Speaker 1: kind of invaded by this. It's like a spread of cancer, 779 00:50:11,920 --> 00:50:14,239 Speaker 1: and I just I don't know, I think we're going 780 00:50:14,280 --> 00:50:19,759 Speaker 1: to keep seeing this even even like after they make 781 00:50:20,040 --> 00:50:23,960 Speaker 1: like specific like changes so that to try and like 782 00:50:24,080 --> 00:50:28,799 Speaker 1: curb misinformation or disinformation. Like I still think that we're 783 00:50:29,120 --> 00:50:32,160 Speaker 1: in a bad place, just as people like we're at 784 00:50:32,200 --> 00:50:36,960 Speaker 1: a month mentally and spiritually unhealthy places like a as 785 00:50:37,080 --> 00:50:40,960 Speaker 1: a civilization that hopefully we can come back from. But 786 00:50:41,080 --> 00:50:43,640 Speaker 1: this is so like one thing that I used to 787 00:50:43,960 --> 00:50:48,399 Speaker 1: say a lot that I wanted to kind of officially revises. 788 00:50:49,040 --> 00:50:51,480 Speaker 1: I would like when talking about history and like all 789 00:50:51,560 --> 00:50:55,120 Speaker 1: the horrifying ship that happened in history, I would say that, 790 00:50:55,239 --> 00:50:57,600 Speaker 1: like history is like a nightmare that we're all waking 791 00:50:57,680 --> 00:51:01,600 Speaker 1: up from. And I think that's true and very specific cases. 792 00:51:01,640 --> 00:51:06,360 Speaker 1: But I also think that it assumes that this is 793 00:51:06,640 --> 00:51:09,120 Speaker 1: like some of the ship that we were told growing 794 00:51:09,200 --> 00:51:11,440 Speaker 1: up that like this is the best time to be alive. 795 00:51:11,560 --> 00:51:14,680 Speaker 1: And this is the best, you know, and I don't 796 00:51:14,840 --> 00:51:19,400 Speaker 1: know that this is the healthiest Like that that is 797 00:51:20,000 --> 00:51:24,160 Speaker 1: true based on the very specific like value set, like 798 00:51:24,320 --> 00:51:28,680 Speaker 1: materialist value set that we like we're judging it by 799 00:51:28,800 --> 00:51:32,279 Speaker 1: the values that currently governed the world. So yeah, of course, 800 00:51:32,440 --> 00:51:35,520 Speaker 1: like we have more stuff than we used to, but 801 00:51:36,080 --> 00:51:39,960 Speaker 1: there's just a injustice to the world and a in 802 00:51:40,120 --> 00:51:43,520 Speaker 1: humanity to how we're treated and how we even think 803 00:51:43,600 --> 00:51:47,480 Speaker 1: of ourselves that I think is really unhealthy and like 804 00:51:47,600 --> 00:51:51,680 Speaker 1: makes it a pretty difficult time to be alive. That's 805 00:51:51,719 --> 00:51:54,040 Speaker 1: bleak out there. I think the best era in history 806 00:51:54,640 --> 00:52:01,439 Speaker 1: was pre cars to era, right right before our cars 807 00:52:01,480 --> 00:52:05,480 Speaker 1: to it. We're really innocent. Then here's a different It's 808 00:52:05,480 --> 00:52:08,680 Speaker 1: a simpler time, more connected as a society. We all 809 00:52:08,760 --> 00:52:12,200 Speaker 1: got along. Yeah, well that was before Mader could really 810 00:52:12,239 --> 00:52:15,160 Speaker 1: realize like what he could do, like as you know, 811 00:52:15,440 --> 00:52:26,840 Speaker 1: with his charms, with his wiles. It's so true. Anyways, Well, guys, 812 00:52:27,239 --> 00:52:30,560 Speaker 1: it's always so great to talk to you both. Caitlin. 813 00:52:30,960 --> 00:52:34,120 Speaker 1: Where can people find you and follow you? You can 814 00:52:34,600 --> 00:52:38,800 Speaker 1: find me and follow me on Instagram and Twitter, you know, 815 00:52:38,920 --> 00:52:46,120 Speaker 1: the social media platforms that were the best that I 816 00:52:46,239 --> 00:52:51,680 Speaker 1: advertise every day on my that really help with all 817 00:52:51,760 --> 00:52:57,080 Speaker 1: of our collective mental health health. You can follow health 818 00:52:58,080 --> 00:53:01,920 Speaker 1: and the more follow ours I get, the happier I'll be, 819 00:53:02,360 --> 00:53:08,359 Speaker 1: so follow me there at Caitlin Durante. You can also 820 00:53:08,480 --> 00:53:11,800 Speaker 1: check out my podcast that I co host with Jamie Loftus, 821 00:53:12,120 --> 00:53:14,920 Speaker 1: where we might be having a live show in January 822 00:53:15,000 --> 00:53:18,839 Speaker 1: in San Francisco, but also probably not. Who can say, 823 00:53:19,719 --> 00:53:23,080 Speaker 1: but that is available to listen to safely from the 824 00:53:23,160 --> 00:53:26,760 Speaker 1: comfort of your own home. And it's called The Bechtel 825 00:53:26,800 --> 00:53:31,200 Speaker 1: Cast and we analyze movies through an intersectional feminist lens. 826 00:53:31,920 --> 00:53:35,560 Speaker 1: And new episodes of that drop every Thursday and you 827 00:53:35,640 --> 00:53:40,760 Speaker 1: can follow us on Instagram and Twitter at Bechtel Cast 828 00:53:41,040 --> 00:53:46,080 Speaker 1: for more information. Is there a tweet or some of 829 00:53:46,120 --> 00:53:49,840 Speaker 1: the work of social media you've been enjoying, so everyone 830 00:53:49,920 --> 00:53:55,080 Speaker 1: should follow at Jay the Chow or j the Cho 831 00:53:55,239 --> 00:53:58,360 Speaker 1: I'm not sure what the pronunciation is, but this person 832 00:53:59,400 --> 00:54:04,680 Speaker 1: photoshop Paddington into a frame from a movie or TV 833 00:54:04,800 --> 00:54:09,600 Speaker 1: show every single day, So check that out at j 834 00:54:09,840 --> 00:54:15,839 Speaker 1: A Y the c h O you for some amazing 835 00:54:16,040 --> 00:54:20,879 Speaker 1: Paddington's content. Yeah, alright, I I'm following them right now. 836 00:54:21,320 --> 00:54:26,520 Speaker 1: And where can people find you will follow you yallow me. 837 00:54:26,600 --> 00:54:28,840 Speaker 1: I'm Joel Mony can can find me all over the internet. 838 00:54:29,120 --> 00:54:31,200 Speaker 1: At uelmo Ni gets j O E l e E 839 00:54:31,480 --> 00:54:33,720 Speaker 1: m O n I q u E. I've been enjoying 840 00:54:33,719 --> 00:54:35,359 Speaker 1: a couple of tweets. The first one is from at 841 00:54:35,400 --> 00:54:38,760 Speaker 1: Wonder Underscore Phoenix. It is simply a screenshot from Weier 842 00:54:38,760 --> 00:54:41,480 Speaker 1: season two, which I am obsessed with. And it's what 843 00:54:41,600 --> 00:54:43,759 Speaker 1: you're saying. I've lived through a whole dark ages and 844 00:54:43,880 --> 00:54:46,040 Speaker 1: three supposed end of days and someone was like me 845 00:54:46,400 --> 00:54:51,800 Speaker 1: during this pandemic and I identify, yes, absolutely, it's never ending. 846 00:54:52,440 --> 00:54:56,520 Speaker 1: And then the other one, Sony tweeted out a picture 847 00:54:56,920 --> 00:54:59,839 Speaker 1: Spider Man from their newly released Spider Man movie. It's 848 00:54:59,840 --> 00:55:02,200 Speaker 1: a hey, you've got Peter Parker for secret Standard. What 849 00:55:02,280 --> 00:55:04,319 Speaker 1: are you getting him? And someone said, who the fund 850 00:55:04,400 --> 00:55:06,920 Speaker 1: is Peter Parker? And have you seen the movie? You know? 851 00:55:07,360 --> 00:55:09,319 Speaker 1: And if you haven't, go see the fucking movie. It's 852 00:55:09,360 --> 00:55:12,880 Speaker 1: so good? Is it really good? Now? It's so if 853 00:55:12,920 --> 00:55:17,640 Speaker 1: you if you like Spider Man, it's good. All right. 854 00:55:17,840 --> 00:55:21,640 Speaker 1: Let me just say, at this late point in the show, 855 00:55:21,840 --> 00:55:25,080 Speaker 1: what a bad podcast host I am? I have the 856 00:55:25,200 --> 00:55:30,120 Speaker 1: Marvel Defender and one of the biggest uh into the 857 00:55:30,680 --> 00:55:36,600 Speaker 1: Spider Verse fans out there on this podcast the literally 858 00:55:36,719 --> 00:55:41,200 Speaker 1: the day after the New Spider Man movie, which breaking, Yeah, 859 00:55:41,320 --> 00:55:45,000 Speaker 1: and just broke like all fucking box office records. Let's 860 00:55:45,040 --> 00:55:48,600 Speaker 1: give you some I can give you stats before. Let's 861 00:55:48,640 --> 00:55:51,960 Speaker 1: do just five minutes from you guys and talk stats 862 00:55:52,000 --> 00:55:56,080 Speaker 1: on the on yesterday's trending episode. But so you guys 863 00:55:56,160 --> 00:56:01,120 Speaker 1: both liked it, Yes, so good. Three million dollars domestic. 864 00:56:01,200 --> 00:56:05,320 Speaker 1: It's the third biggest ever December release ever, biggest December 865 00:56:05,360 --> 00:56:10,560 Speaker 1: release ever. Global did eight seven million, three biggest worldwide 866 00:56:10,640 --> 00:56:13,160 Speaker 1: opening ever. Without releasing in China, it would be the 867 00:56:13,239 --> 00:56:17,040 Speaker 1: box office totals for shuan Chi, Black Widow, Eternals, Venom. 868 00:56:17,719 --> 00:56:23,040 Speaker 1: It's opening weekend. M Yeah, it's no big deal. It 869 00:56:23,400 --> 00:56:27,920 Speaker 1: is a banger of Oh my god. I don't want 870 00:56:27,920 --> 00:56:31,279 Speaker 1: to give any spoilers because it's still early, but from like, 871 00:56:32,200 --> 00:56:33,920 Speaker 1: if you're a comics person, one of the cool things 872 00:56:33,920 --> 00:56:36,400 Speaker 1: about comics is sometimes you'll get like a guest artist 873 00:56:36,480 --> 00:56:39,400 Speaker 1: to jump in and if you've seen Dr Strange, you 874 00:56:39,480 --> 00:56:42,160 Speaker 1: know that's like a very specific visual language and it's 875 00:56:42,200 --> 00:56:47,680 Speaker 1: married into the Spider Man franchise so beautifully. Tom Holland 876 00:56:47,800 --> 00:56:53,080 Speaker 1: is kicking ass and I really enjoyed it. Sindaa's honestly 877 00:56:53,120 --> 00:56:55,919 Speaker 1: the only movie started her generation. It's just her out 878 00:56:56,000 --> 00:57:00,200 Speaker 1: here running laps around everybody else, being like, how is 879 00:57:00,239 --> 00:57:05,120 Speaker 1: her range so wide? And she can do all of it. 880 00:57:05,360 --> 00:57:07,759 Speaker 1: It's incredible. And she's just playing like a regular high 881 00:57:07,760 --> 00:57:10,399 Speaker 1: school kid here, but she's doing it. You've seen her 882 00:57:10,800 --> 00:57:14,480 Speaker 1: playing like a married woman in like a domestically violent relationship. 883 00:57:14,560 --> 00:57:17,120 Speaker 1: You've seen her play like a kid with drug addiction 884 00:57:17,200 --> 00:57:19,800 Speaker 1: issues who's really struggling to like find herself. And then 885 00:57:19,800 --> 00:57:22,280 Speaker 1: she comes in here and she just she aces all 886 00:57:22,320 --> 00:57:24,840 Speaker 1: of it and it's so good in this cast. I 887 00:57:24,960 --> 00:57:27,920 Speaker 1: love it. What do you think, Caitlin? I also liked it. 888 00:57:28,000 --> 00:57:31,640 Speaker 1: I thought the way again not no spoilers here, but 889 00:57:31,720 --> 00:57:37,640 Speaker 1: the way that they handles Spider Man stopping stopped, no 890 00:57:37,840 --> 00:57:43,000 Speaker 1: spoilers here. The way that the heroes approach dealing with 891 00:57:43,720 --> 00:57:47,320 Speaker 1: the villains is a very fast It's like, very fascinating. 892 00:57:47,400 --> 00:57:50,560 Speaker 1: I really enjoyed that. The And and if I can 893 00:57:51,240 --> 00:57:57,000 Speaker 1: channel Jamie Loftus for a second, Alfred Molina is in 894 00:57:57,120 --> 00:58:01,720 Speaker 1: the movie, and that's not a spoiler trailer trailer um 895 00:58:02,320 --> 00:58:05,800 Speaker 1: and you'll you'll you'll laugh, you'll cry, you'll feel your feelings. 896 00:58:06,120 --> 00:58:10,080 Speaker 1: It's a lot of fun. Grown men let out audible sobs. 897 00:58:10,160 --> 00:58:13,440 Speaker 1: The first time I saw this, like and appropriately so 898 00:58:13,760 --> 00:58:17,440 Speaker 1: it was so so good. And then Willem Dafoe. If 899 00:58:17,480 --> 00:58:20,400 Speaker 1: you guys have seen the original Spider Man, you know 900 00:58:20,800 --> 00:58:22,680 Speaker 1: that he played the Green Goblin and it was really 901 00:58:22,760 --> 00:58:25,520 Speaker 1: good and kind of scary, and it's will Im freaking 902 00:58:25,560 --> 00:58:30,160 Speaker 1: to foe. He's talented, but he's pushed that character so 903 00:58:30,400 --> 00:58:33,720 Speaker 1: far in this movie. It's really an opportunity for redemption 904 00:58:33,840 --> 00:58:35,360 Speaker 1: for a ton of people to be like, you know, 905 00:58:35,440 --> 00:58:38,040 Speaker 1: I could do better, and they him, and they did better. 906 00:58:38,480 --> 00:58:42,080 Speaker 1: They did so good. I just I've seen this movie 907 00:58:42,120 --> 00:58:44,760 Speaker 1: twice now I'm honestly looking forward to seeing it a 908 00:58:44,880 --> 00:58:47,480 Speaker 1: third time. It's worth it in three D if you're 909 00:58:47,640 --> 00:58:49,440 Speaker 1: the kind of person who can handle and like three D. 910 00:58:49,560 --> 00:58:52,439 Speaker 1: It's very subtly done, which I think it is hard 911 00:58:52,800 --> 00:58:54,640 Speaker 1: for that kind of restraint in the movie where someone's 912 00:58:54,680 --> 00:58:57,240 Speaker 1: literally swimming through buildings, you want to go all out, 913 00:58:57,280 --> 00:59:00,200 Speaker 1: but it's so subtle and beautiful and amazing. I just 914 00:59:00,240 --> 00:59:03,280 Speaker 1: thought in regular IMAX that was great. If you're going 915 00:59:03,360 --> 00:59:06,720 Speaker 1: to brave, going to a movie, you know, double mask up, 916 00:59:07,000 --> 00:59:08,960 Speaker 1: maybe trying not to eat or drink during if you can, 917 00:59:09,400 --> 00:59:12,920 Speaker 1: and then just really take in the big picture of 918 00:59:13,000 --> 00:59:16,360 Speaker 1: everything because it's chef gets beautiful. But also Disney Plus 919 00:59:16,400 --> 00:59:18,920 Speaker 1: is bringing these things to streaming so fast. Maybe not 920 00:59:19,040 --> 00:59:20,920 Speaker 1: this one because it earns so much and they'll probably 921 00:59:21,000 --> 00:59:23,720 Speaker 1: expect you to continue to earn. But don't feel bad 922 00:59:23,720 --> 00:59:26,800 Speaker 1: about waiting either. It'll be on streaming soon enough. So good, 923 00:59:27,120 --> 00:59:33,680 Speaker 1: so good, alright, so thumbs one thumb, one thumb down right, 924 00:59:35,040 --> 00:59:41,040 Speaker 1: It's like, okay, alright on that subject. A tweet I've 925 00:59:41,040 --> 00:59:44,680 Speaker 1: been enjoying us from Ben Joseph at Jen Bosef tweeted 926 00:59:45,120 --> 00:59:48,480 Speaker 1: the box office numbers at Movie Numbers and it said 927 00:59:48,520 --> 00:59:53,120 Speaker 1: Friday estimates Spider Man No Way Home one point five million, 928 00:59:53,480 --> 00:59:56,680 Speaker 1: in conto one point six five million, Nightmare Alley one 929 00:59:56,720 --> 00:59:59,760 Speaker 1: point one nine million, said great news for Disney, but 930 01:00:00,160 --> 01:00:06,920 Speaker 1: tough night for Disney and Disney because Disney owns everything 931 01:00:07,080 --> 01:00:11,240 Speaker 1: now all right. You can find me on Twitter at 932 01:00:11,280 --> 01:00:13,439 Speaker 1: Jack Underscore O Brian. You can find us on Twitter 933 01:00:13,560 --> 01:00:16,480 Speaker 1: at Daily zeit guys were at the Daily Zeitgeist on Instagram. 934 01:00:16,560 --> 01:00:18,960 Speaker 1: We have a Facebook fan page and a website daily 935 01:00:19,080 --> 01:00:22,680 Speaker 1: zeitgeist dot com, where we post our episodes and our footnotes, 936 01:00:23,040 --> 01:00:25,680 Speaker 1: where we link off to the information that we talked 937 01:00:25,720 --> 01:00:28,320 Speaker 1: about in today's episode, as well as a song that 938 01:00:28,520 --> 01:00:31,520 Speaker 1: we think you might enjoy. And I actually have one 939 01:00:31,920 --> 01:00:35,560 Speaker 1: for us today. It is a song called stone Fruit 940 01:00:35,840 --> 01:00:39,640 Speaker 1: by armand Hammer and the Alchemist. I don't know. It's 941 01:00:39,680 --> 01:00:43,720 Speaker 1: got some Bismarck singing meets Wu tang with like a 942 01:00:43,840 --> 01:00:47,160 Speaker 1: massive vocabulary. It's got a like synth line that I 943 01:00:47,240 --> 01:00:49,600 Speaker 1: really like, it feels. I don't know if the best 944 01:00:49,720 --> 01:00:52,680 Speaker 1: versa about being killed and having your bones built into 945 01:00:52,760 --> 01:00:54,960 Speaker 1: a bed and your skull used as a goblet to 946 01:00:55,040 --> 01:00:58,520 Speaker 1: drink rose out of, which is I've always been a 947 01:00:58,600 --> 01:01:01,520 Speaker 1: fan of versus like that, so I'm also the alchemist 948 01:01:01,600 --> 01:01:04,720 Speaker 1: is just so, just so anyways, don't like drinking rose 949 01:01:04,920 --> 01:01:08,440 Speaker 1: out of people's skulls. I like having people drink rose 950 01:01:08,520 --> 01:01:11,640 Speaker 1: out of my skull, which is, Yeah, the point of 951 01:01:11,720 --> 01:01:16,440 Speaker 1: view as somebody who has been consumed, built into a bed, 952 01:01:17,200 --> 01:01:20,720 Speaker 1: had their teeth worn as a necklace and had somebody 953 01:01:20,880 --> 01:01:23,960 Speaker 1: and is like okay with it, Yes, he's my dead 954 01:01:24,000 --> 01:01:27,240 Speaker 1: body is decoration. I love the idea of being beautiful 955 01:01:27,280 --> 01:01:31,040 Speaker 1: beyond death. Let's do it. That's amazing, so go check 956 01:01:31,120 --> 01:01:33,200 Speaker 1: that out. The Daily Zeitgeist is a production of I 957 01:01:33,280 --> 01:01:35,640 Speaker 1: Heart Radio from more podcast from my heart Radio, visit 958 01:01:35,720 --> 01:01:38,280 Speaker 1: the heart radio app, Apple Podcaster, wherever you're listening your 959 01:01:38,320 --> 01:01:40,480 Speaker 1: favorite shows. That is going to do it for us 960 01:01:41,040 --> 01:01:43,920 Speaker 1: this morning. We're back this afternoon to tell you what's trending, 961 01:01:44,280 --> 01:01:46,320 Speaker 1: and we will talk to you all day. Bite