1 00:00:03,000 --> 00:00:05,760 Speaker 1: So you don't you're in LA, but you don't know 2 00:00:05,920 --> 00:00:08,520 Speaker 1: if the Hollywood sign has changed colors. 3 00:00:08,960 --> 00:00:12,479 Speaker 2: I haven't looked outside. I saw that on Twitter like 4 00:00:12,680 --> 00:00:15,600 Speaker 2: last night, but I wasn't paying attention. 5 00:00:16,320 --> 00:00:19,439 Speaker 1: The whole thing. The whole LA thing was like so 6 00:00:20,239 --> 00:00:23,360 Speaker 1: fake like they I mean, I guess I guess it 7 00:00:23,880 --> 00:00:27,440 Speaker 1: was by it, like they couldn't actually fly Tom Cruise 8 00:00:27,520 --> 00:00:33,280 Speaker 1: warp speed back to Los Angeles, but just like felt 9 00:00:33,680 --> 00:00:35,960 Speaker 1: I don't know that first of all, that they went 10 00:00:36,080 --> 00:00:40,879 Speaker 1: to Long Beach instead of Venice, like they seemed to 11 00:00:40,920 --> 00:00:43,519 Speaker 1: indicate they were going to Venice, and then it was 12 00:00:43,560 --> 00:00:44,160 Speaker 1: Long Beach. 13 00:00:44,800 --> 00:00:46,879 Speaker 2: So you're talking about like in the closing ceremony they 14 00:00:46,920 --> 00:00:49,239 Speaker 2: had him like transfer it basically to LA. 15 00:00:49,320 --> 00:00:49,760 Speaker 1: Yeah. 16 00:00:49,880 --> 00:00:52,279 Speaker 2: Yeah, And so I didn't see the full thing. I 17 00:00:52,320 --> 00:00:56,520 Speaker 2: just saw him like repelling into the tweets about. 18 00:00:56,360 --> 00:00:58,280 Speaker 1: It, and that scared you, and so you ran away 19 00:00:58,600 --> 00:01:01,400 Speaker 1: and stopped at that point. Yeah. 20 00:01:01,480 --> 00:01:06,560 Speaker 2: Yeah, So you're saying it was just like very fake, 21 00:01:06,600 --> 00:01:08,720 Speaker 2: which does feel very Hollywood. 22 00:01:09,160 --> 00:01:12,440 Speaker 1: Yeah, it just felt like so he got the thing right. 23 00:01:12,760 --> 00:01:16,360 Speaker 1: It just felt the whole closing ceremony in France was 24 00:01:16,480 --> 00:01:22,040 Speaker 1: so like experimental art piece, like what are they trying 25 00:01:22,040 --> 00:01:24,679 Speaker 1: to say, it was like so slow, they didn't give 26 00:01:24,720 --> 00:01:27,480 Speaker 1: a fuck that they were making it, just like in 27 00:01:27,680 --> 00:01:31,000 Speaker 1: a wildly uncomfortable watch. And then the second like Tom 28 00:01:31,080 --> 00:01:35,800 Speaker 1: Cruise repels in and it's like quickly edited. They're like yeah, yeah, YadA, 29 00:01:35,880 --> 00:01:38,800 Speaker 1: YadA YadA, like do the red dot flying across the 30 00:01:38,880 --> 00:01:43,840 Speaker 1: globe like in Indiana Jones And then he's like skydives 31 00:01:43,880 --> 00:01:47,639 Speaker 1: for no reason and makes the Hollywood Sign a different color. 32 00:01:47,840 --> 00:01:50,640 Speaker 1: Although we still don't know and there's no way to 33 00:01:50,720 --> 00:01:53,760 Speaker 1: know really if that's actually happened to the Hollywood Sign 34 00:01:54,000 --> 00:01:55,960 Speaker 1: other than you looking at your window. 35 00:01:56,160 --> 00:01:57,960 Speaker 2: And I refuse to do that. I refuse to give 36 00:01:58,000 --> 00:01:59,840 Speaker 2: Tom Cruise. When I look at my window, I see 37 00:01:59,840 --> 00:02:03,240 Speaker 2: this Scientology building and that's enough attention Tom Cruise for me. 38 00:02:04,720 --> 00:02:08,320 Speaker 1: Done. He had done something to the Scientology building. That 39 00:02:08,480 --> 00:02:09,400 Speaker 1: was the big reveal. 40 00:02:10,000 --> 00:02:11,840 Speaker 2: Yeah, he's like, this is where the Olympics are going 41 00:02:11,919 --> 00:02:12,720 Speaker 2: to take place now. 42 00:02:13,040 --> 00:02:21,680 Speaker 1: Yeah, Hello the Internet, and welcome to this week trend 43 00:02:21,919 --> 00:02:27,720 Speaker 1: edition of Daily. It's a production of iHeartRadio. It's a 44 00:02:27,720 --> 00:02:30,440 Speaker 1: podcast where you take a deep bab into America share consciousness. 45 00:02:30,840 --> 00:02:35,040 Speaker 1: It's Monday morning, Monday afternoon, depending on where you are. 46 00:02:35,919 --> 00:02:41,080 Speaker 1: I'm Jack O'Brien and I am thrilled to be joined 47 00:02:41,360 --> 00:02:44,440 Speaker 1: by very special guest co host with the mo host, 48 00:02:44,480 --> 00:02:48,480 Speaker 1: a hilarious and brilliant stand up comedium writer, actor improviser. 49 00:02:48,760 --> 00:02:49,960 Speaker 1: It's pobably Ganollo. 50 00:02:54,639 --> 00:02:57,320 Speaker 2: It's you, your favorite non Olympian. 51 00:02:58,520 --> 00:03:01,520 Speaker 1: Come on, you're you're an Olympian in our hearts. 52 00:03:01,840 --> 00:03:04,320 Speaker 2: Oh, thank you so much. I will drown. I will 53 00:03:04,400 --> 00:03:05,239 Speaker 2: drown in that pool. 54 00:03:05,560 --> 00:03:08,720 Speaker 1: That was just drown in front of everybody. 55 00:03:09,120 --> 00:03:11,360 Speaker 2: Well, that's like there was that tweet that was going around. 56 00:03:11,360 --> 00:03:14,160 Speaker 2: That's like, if you feel useless in your life, just 57 00:03:14,240 --> 00:03:16,760 Speaker 2: know that there's a lifeguard at the Olympics. It's doing 58 00:03:16,840 --> 00:03:20,040 Speaker 2: nothing and it's like, if I was anywhere near that pool, 59 00:03:20,040 --> 00:03:20,920 Speaker 2: you'd be doing a lot. 60 00:03:21,800 --> 00:03:24,560 Speaker 1: That pool so deep, or at least like the diving 61 00:03:24,600 --> 00:03:27,000 Speaker 1: pools I was. I had the question, how deep are 62 00:03:27,040 --> 00:03:30,560 Speaker 1: those diving pools? They look crazy deep. Yes, I'll go. 63 00:03:30,720 --> 00:03:32,720 Speaker 2: To the other side of the area. I feel like 64 00:03:32,760 --> 00:03:35,000 Speaker 2: every time I saw this, the swimmers go under, I 65 00:03:35,040 --> 00:03:36,400 Speaker 2: was like, save them, and then they came. 66 00:03:36,240 --> 00:03:38,440 Speaker 1: Back up and I was like, oh, get back, Oh no, okay, 67 00:03:38,480 --> 00:03:45,680 Speaker 1: what's gonna happen. Yeah, that swimming, I think in particular, 68 00:03:46,080 --> 00:03:48,880 Speaker 1: and there have been videos of this where they show 69 00:03:48,960 --> 00:03:55,040 Speaker 1: you like regular swimmers versus Olympic level swimmers. Yeah, and 70 00:03:55,080 --> 00:03:57,360 Speaker 1: it's just bonkers. 71 00:03:57,400 --> 00:04:00,760 Speaker 2: We're Olympic level swimmers from like the nineteen thirty Yeah, 72 00:04:01,520 --> 00:04:05,400 Speaker 2: like the track athletes, you know. Yeah, they didn't have 73 00:04:05,960 --> 00:04:09,800 Speaker 2: the technology back then, they did. 74 00:04:09,680 --> 00:04:13,080 Speaker 1: Not they also, Yeah, it was just like there were 75 00:04:13,120 --> 00:04:16,760 Speaker 1: like five people in each town who knew how to swim, 76 00:04:17,160 --> 00:04:19,640 Speaker 1: and they they sent them to try and do the 77 00:04:19,640 --> 00:04:26,000 Speaker 1: Olympic for Yeah, exactly, freestyle was really free. It was like, 78 00:04:26,400 --> 00:04:31,120 Speaker 1: I don't know, is this something that that was how 79 00:04:31,160 --> 00:04:36,719 Speaker 1: they swam. But we're gonna talk Olympics. But this is 80 00:04:36,760 --> 00:04:39,680 Speaker 1: of course the episode where we let you get to 81 00:04:39,720 --> 00:04:42,760 Speaker 1: know us a little bit better by telling you guys 82 00:04:42,760 --> 00:04:49,080 Speaker 1: something that we think is overrated, underrated. Let's let's start 83 00:04:49,080 --> 00:04:52,680 Speaker 1: with underrated. Paulavi, do you have something I know? I 84 00:04:52,760 --> 00:04:54,680 Speaker 1: just kind of sprung this on you. You were you 85 00:04:54,680 --> 00:04:57,200 Speaker 1: were not familiar with the format. Do you do you 86 00:04:57,240 --> 00:04:58,279 Speaker 1: want me to kick us off? 87 00:04:58,839 --> 00:05:00,640 Speaker 2: You go either way? I have have something I can 88 00:05:00,680 --> 00:05:01,279 Speaker 2: talk about. 89 00:05:01,480 --> 00:05:04,760 Speaker 1: Hit me with something you think is underrated. 90 00:05:05,440 --> 00:05:10,479 Speaker 2: Cheap people, we exist, we're important. We're getting you free shit. 91 00:05:10,839 --> 00:05:14,159 Speaker 2: Yesterday I was at my dog rescues like adoption event, 92 00:05:14,560 --> 00:05:17,159 Speaker 2: and it had like all these stalls and I just 93 00:05:17,200 --> 00:05:19,919 Speaker 2: went around. First thing I did, fuck the dogs. Okay, 94 00:05:19,920 --> 00:05:23,039 Speaker 2: first thing I did. I went around and I caught 95 00:05:27,640 --> 00:05:30,160 Speaker 2: I'm like the volunteer that's like trying to get some adopted. 96 00:05:30,320 --> 00:05:32,920 Speaker 2: But I'm like, forget this, I need free shit for 97 00:05:33,120 --> 00:05:33,720 Speaker 2: my dogs. 98 00:05:33,839 --> 00:05:34,039 Speaker 1: Yeah. 99 00:05:34,080 --> 00:05:37,560 Speaker 2: And I was the only one of the volunteers who 100 00:05:37,680 --> 00:05:40,760 Speaker 2: like did like was very Indian about it, and like 101 00:05:40,960 --> 00:05:43,960 Speaker 2: was like, hey, can I get like another stuffed toy 102 00:05:44,080 --> 00:05:46,800 Speaker 2: from my dog? And I came away from that with 103 00:05:46,839 --> 00:05:51,039 Speaker 2: a whole bag of swag, came up on squat. I 104 00:05:51,080 --> 00:05:54,000 Speaker 2: feel like in every family there's like a cheap person 105 00:05:54,200 --> 00:05:57,480 Speaker 2: who like haggles and gets stuff for their family, and 106 00:05:57,520 --> 00:05:59,960 Speaker 2: everybody's like, oh my god, this is so embarrassing, and 107 00:06:00,040 --> 00:06:01,159 Speaker 2: then they get all the free ship. 108 00:06:01,400 --> 00:06:01,679 Speaker 1: Yeah. 109 00:06:01,760 --> 00:06:04,080 Speaker 2: I feel like, come on, we're out there, we're the 110 00:06:04,080 --> 00:06:08,480 Speaker 2: soldiers doing the brave work of debasing ourselves for free 111 00:06:08,480 --> 00:06:09,120 Speaker 2: shit for you. 112 00:06:09,839 --> 00:06:11,880 Speaker 1: And do you put the stuff to use, like you'll 113 00:06:11,920 --> 00:06:15,120 Speaker 1: you'll actually use those stuff stuff toys. 114 00:06:14,920 --> 00:06:17,960 Speaker 2: Nice, they already destroyed one, you know. I have like 115 00:06:18,040 --> 00:06:20,760 Speaker 2: a ton of treats that I got them. Of course, 116 00:06:21,360 --> 00:06:24,080 Speaker 2: I'm advocating for all the people who can't, you know, 117 00:06:24,240 --> 00:06:26,240 Speaker 2: talk to the waiter themselves, you know what I mean. 118 00:06:26,520 --> 00:06:35,200 Speaker 1: Yeah, we can't feel too embarrassed to ask for like birthday, 119 00:06:35,400 --> 00:06:39,960 Speaker 1: or we could pretend it is if you're yeah, yeah, 120 00:06:40,040 --> 00:06:42,559 Speaker 1: all right, shout out to the shout out to the cheap. 121 00:06:43,240 --> 00:06:47,760 Speaker 1: My underrated is I got two one is. I think 122 00:06:47,839 --> 00:06:50,080 Speaker 1: my brain was just like, I don't smoke weed anymore, 123 00:06:50,120 --> 00:06:54,480 Speaker 1: but my brain just like has these periods where I 124 00:06:54,600 --> 00:06:59,440 Speaker 1: feel like I'm like having high thoughts and so, uh, 125 00:06:59,839 --> 00:07:04,680 Speaker 1: my two underrateds are seashells and identical twins. 126 00:07:05,360 --> 00:07:08,080 Speaker 2: And like acid flashbacks but yeah flash. 127 00:07:07,800 --> 00:07:11,480 Speaker 1: Works, Yeah, where I'm just like like seeing it again 128 00:07:11,560 --> 00:07:15,160 Speaker 1: for the first time through like high eyes and I'm 129 00:07:15,360 --> 00:07:18,880 Speaker 1: I so, I'm I'm down to shore with my kids, 130 00:07:18,920 --> 00:07:21,600 Speaker 1: and my kids are just running around, you know, obsessed 131 00:07:21,600 --> 00:07:27,680 Speaker 1: with seashells. My eight year old is into collecting broken shells, 132 00:07:28,080 --> 00:07:30,560 Speaker 1: which at a certain point is annoying because what the 133 00:07:30,600 --> 00:07:32,280 Speaker 1: fuck am I going to do with all of these 134 00:07:32,280 --> 00:07:35,960 Speaker 1: broken shells? Like pave a bar parking lot in Key West. 135 00:07:36,320 --> 00:07:42,040 Speaker 1: But the more time I spent with him really looking 136 00:07:42,240 --> 00:07:46,640 Speaker 1: at the seashells, I feel like he's probably right, Like 137 00:07:46,720 --> 00:07:49,480 Speaker 1: the sea just kind of spits out a bunch of 138 00:07:50,280 --> 00:07:55,920 Speaker 1: artwork that is like a minus sixth grader art project artwork, 139 00:07:56,240 --> 00:07:59,840 Speaker 1: Like it's better than ninety percent of the like sculptures 140 00:08:00,080 --> 00:08:03,680 Speaker 1: I have ever made or really seen. And like the 141 00:08:03,760 --> 00:08:07,640 Speaker 1: colors or like the colors usually go together really well 142 00:08:07,800 --> 00:08:09,480 Speaker 1: on the seashells, and. 143 00:08:09,760 --> 00:08:12,920 Speaker 2: You're like, you know what, see, nice job, nice job, 144 00:08:13,120 --> 00:08:17,080 Speaker 2: I see, You're very good, pretty good most of the time. 145 00:08:17,720 --> 00:08:20,400 Speaker 2: I literally had this thought recently because when I was 146 00:08:20,400 --> 00:08:22,160 Speaker 2: a kid, I used to be that kid who collects 147 00:08:22,200 --> 00:08:24,800 Speaker 2: all the seashells, and like even like my dad or 148 00:08:24,840 --> 00:08:27,080 Speaker 2: whatever would bring a seashell back from like a beach 149 00:08:27,080 --> 00:08:31,200 Speaker 2: he was on, and they are like really beautiful, and 150 00:08:31,240 --> 00:08:33,120 Speaker 2: like all the different shapes and the fact that they're 151 00:08:33,160 --> 00:08:35,160 Speaker 2: imperfect but still beautiful. 152 00:08:35,600 --> 00:08:39,200 Speaker 1: Yeah, like a little shard of one that you're like, oh, 153 00:08:39,320 --> 00:08:42,480 Speaker 1: this thing was beautiful. Like the full version of this 154 00:08:42,640 --> 00:08:43,600 Speaker 1: was unbelievable. 155 00:08:43,960 --> 00:08:45,400 Speaker 2: They're homes to creatures. 156 00:08:45,440 --> 00:08:49,480 Speaker 1: They're homes. They are just a bunch of houses for mollusks. 157 00:08:49,880 --> 00:08:51,880 Speaker 2: Tiny homes, tiny tiny huh. 158 00:08:52,240 --> 00:08:56,960 Speaker 1: They were on the tiny home wave before humans. Yeah. 159 00:08:57,040 --> 00:09:00,400 Speaker 1: I think I think I just got older and aliced 160 00:09:00,440 --> 00:09:03,520 Speaker 1: over by life and stopped having the wonder. But I 161 00:09:03,559 --> 00:09:06,440 Speaker 1: think I am wrong and the kids are right on 162 00:09:06,480 --> 00:09:11,400 Speaker 1: this one. And seashells are fucking cool. Just straight up, 163 00:09:11,640 --> 00:09:14,560 Speaker 1: they do great work. The ocean does great work every day. 164 00:09:14,640 --> 00:09:17,480 Speaker 1: Plus they've like been in the depths of the sea. 165 00:09:17,679 --> 00:09:21,559 Speaker 1: They've like seen some shit and then you know, came 166 00:09:21,559 --> 00:09:25,600 Speaker 1: out beautiful and they still come out beautiful us. And 167 00:09:25,640 --> 00:09:28,320 Speaker 1: then back to the Olympics. My identical twins one just 168 00:09:28,520 --> 00:09:32,120 Speaker 1: watching synchronized swimming, and they were like, and this is 169 00:09:32,160 --> 00:09:36,160 Speaker 1: our first of six different duos who are identical twins. 170 00:09:36,240 --> 00:09:39,440 Speaker 1: Like they're so like, being an identical twin is basically 171 00:09:39,480 --> 00:09:45,760 Speaker 1: a performance enhancing drug for synchronized swimming, which I don't know. 172 00:09:46,160 --> 00:09:48,600 Speaker 2: I wait, so that was actually a thing, Like they 173 00:09:48,600 --> 00:09:50,679 Speaker 2: were actually twins in synchronized women. 174 00:09:50,760 --> 00:09:54,280 Speaker 1: Yeah, a bunch of there were multiple twins that were 175 00:09:54,400 --> 00:09:57,079 Speaker 1: doing synchronized Yeah. 176 00:09:57,200 --> 00:10:01,240 Speaker 2: I saw that there were a couple track athletes that 177 00:10:01,280 --> 00:10:05,080 Speaker 2: were twins. I forget what their names started with an S, 178 00:10:05,240 --> 00:10:08,360 Speaker 2: but they're like these gorgeous women that were twins and 179 00:10:08,440 --> 00:10:09,280 Speaker 2: track athletes. 180 00:10:09,480 --> 00:10:12,280 Speaker 1: Why are all the track athletes so gorgeous? Those were 181 00:10:12,400 --> 00:10:15,079 Speaker 1: literally I was like, why is everybody so beautiful. What 182 00:10:15,080 --> 00:10:17,320 Speaker 1: the fuck is happening? It's like when you see like 183 00:10:17,920 --> 00:10:20,760 Speaker 1: NFL quarterbacks, and a bunch of the NFL quarterbacks are 184 00:10:20,760 --> 00:10:23,319 Speaker 1: all like really handsome, You're like, why are all these 185 00:10:23,400 --> 00:10:26,240 Speaker 1: track athletes like the most beautiful humans I've ever seen? 186 00:10:26,320 --> 00:10:27,120 Speaker 1: It doesn't make sense. 187 00:10:27,160 --> 00:10:28,880 Speaker 2: We're gonna be like, hey kid, you got a face 188 00:10:28,960 --> 00:10:29,439 Speaker 2: for track? 189 00:10:29,920 --> 00:10:35,480 Speaker 1: You know, face for track? Doesn't make sense. But it 190 00:10:35,600 --> 00:10:38,960 Speaker 1: did make me again like have high mind, just the 191 00:10:39,120 --> 00:10:42,520 Speaker 1: identical twins. Like thinking about it again, I was like, 192 00:10:43,200 --> 00:10:47,320 Speaker 1: this would be like if it wasn't real, it would 193 00:10:47,360 --> 00:10:49,960 Speaker 1: have been invented by a sci fi writer and it 194 00:10:50,000 --> 00:10:52,959 Speaker 1: would have been like a mind blowing work of science fiction, 195 00:10:53,200 --> 00:10:55,240 Speaker 1: Like what if there was a type of person who 196 00:10:55,280 --> 00:10:59,120 Speaker 1: looked exactly like you but also had your like same 197 00:10:59,200 --> 00:11:03,520 Speaker 1: insides and a lot of like your same personality. Like 198 00:11:04,120 --> 00:11:07,600 Speaker 1: I don't know, it's just a philosphic, philosophical like mind 199 00:11:07,679 --> 00:11:11,800 Speaker 1: fuck that we just you know, we we've lived with forever, 200 00:11:11,960 --> 00:11:16,600 Speaker 1: so it's not that weird to us. But yeah, I 201 00:11:16,600 --> 00:11:18,240 Speaker 1: don't know. And then this like sent me down a 202 00:11:18,320 --> 00:11:22,760 Speaker 1: rabbit hole of just weird Olympic athlete hacks, like apparently 203 00:11:22,800 --> 00:11:27,560 Speaker 1: swimmers have to have really long torsos and short legs 204 00:11:28,200 --> 00:11:32,280 Speaker 1: because like everything below the waist is I guess useless. 205 00:11:32,800 --> 00:11:36,199 Speaker 1: So like Michael Phelps in person looks like he's walking 206 00:11:36,200 --> 00:11:39,840 Speaker 1: around on his knees, but he's got like webbing Yama's wingspan, 207 00:11:40,360 --> 00:11:41,560 Speaker 1: like he's just wild. 208 00:11:41,840 --> 00:11:45,040 Speaker 2: Yeah, and then I was I just remember like at 209 00:11:45,040 --> 00:11:48,400 Speaker 2: the time, everybody who was commenting on the Olympics, they'd 210 00:11:48,400 --> 00:11:50,600 Speaker 2: be like, he's so graceful in the water, and he 211 00:11:50,640 --> 00:11:55,520 Speaker 2: looks like a fucking dog on land. He looks disgusting, 212 00:11:55,720 --> 00:11:58,520 Speaker 2: like some sort of deep sea fish. Get the fuck 213 00:11:58,600 --> 00:12:00,960 Speaker 2: off land, Michael Phelps, get back in the water. We 214 00:12:00,960 --> 00:12:01,880 Speaker 2: don't want to see you. 215 00:12:03,880 --> 00:12:07,760 Speaker 1: You look like shit. Pal. Also, water polo players have 216 00:12:07,800 --> 00:12:11,719 Speaker 1: to have long forearms, which is just so that they 217 00:12:11,720 --> 00:12:14,920 Speaker 1: can yeah, just so they can like throw. I guess 218 00:12:14,960 --> 00:12:17,640 Speaker 1: that like helps them with the which is interesting. It's 219 00:12:17,720 --> 00:12:21,760 Speaker 1: just like weird little details of the human body. I 220 00:12:21,800 --> 00:12:22,679 Speaker 1: never would have thought. 221 00:12:22,640 --> 00:12:25,560 Speaker 2: Weird for those people, because everybody's like, oh, you're tall, 222 00:12:25,600 --> 00:12:28,760 Speaker 2: do you play basketball? Like that's a thing, But nobody's like, oh, 223 00:12:28,800 --> 00:12:33,600 Speaker 2: you have long form arms. But yeah, how do these 224 00:12:33,600 --> 00:12:35,880 Speaker 2: people like find It's it's amazing to me when people 225 00:12:35,880 --> 00:12:38,360 Speaker 2: find the thing that they're amazing at like Simone Biles, 226 00:12:38,520 --> 00:12:43,199 Speaker 2: you know, like how she had the body for and 227 00:12:43,559 --> 00:12:47,160 Speaker 2: the mental capacity and like all everything had to come 228 00:12:47,160 --> 00:12:49,920 Speaker 2: together for her to be who she is. That's such 229 00:12:49,920 --> 00:12:50,760 Speaker 2: a beautiful thing. 230 00:12:51,440 --> 00:12:54,320 Speaker 1: Yeah, I think I have to give my overrated to 231 00:12:54,400 --> 00:12:57,720 Speaker 1: like every athlete that's not Simone Biles. Like when you 232 00:12:57,800 --> 00:13:03,160 Speaker 1: see how fucking high she umps, it's truly incredible. 233 00:13:03,240 --> 00:13:07,480 Speaker 2: Like she's like five x her height is to the 234 00:13:07,520 --> 00:13:10,320 Speaker 2: boundary line. Because fuck that when she's jumping that high 235 00:13:10,320 --> 00:13:12,000 Speaker 2: and she steps out of bounds, Like, let. 236 00:13:11,880 --> 00:13:16,280 Speaker 1: Her like her just what we do now? If she 237 00:13:16,360 --> 00:13:18,720 Speaker 1: steps out of bounds, that's what we do now. Although 238 00:13:18,720 --> 00:13:20,960 Speaker 1: she was so cool about giving you know, she was 239 00:13:21,000 --> 00:13:23,760 Speaker 1: so chill. Yeah, she like bowed down to the woman 240 00:13:23,760 --> 00:13:28,520 Speaker 1: who won gold and was like really cool. Yeah, fuck 241 00:13:28,600 --> 00:13:32,880 Speaker 1: the boundary line, I got, yeah, well we'll come back, 242 00:13:32,880 --> 00:13:37,480 Speaker 1: we'll talk about we'll do our Olympic uh decompress. But 243 00:13:38,679 --> 00:13:42,200 Speaker 1: I got, I got real into it. I was I 244 00:13:42,240 --> 00:13:46,720 Speaker 1: was like refreshing the metal count over the weekend. 245 00:13:46,960 --> 00:13:51,600 Speaker 2: Oh that was the thing I didn't really care about that. 246 00:13:52,000 --> 00:13:53,040 Speaker 2: Did China win that? 247 00:13:53,800 --> 00:13:56,560 Speaker 1: No, we ended up tied with China for gold, and 248 00:13:56,600 --> 00:14:00,880 Speaker 1: then overall metal count uh, the United States ended up winning, 249 00:14:01,240 --> 00:14:05,120 Speaker 1: so but it was was touch and go there for 250 00:14:05,160 --> 00:14:10,840 Speaker 1: a little while. We needed needed that US men's basketball title, 251 00:14:10,920 --> 00:14:14,959 Speaker 1: and they came through for us. All Right, let's uh, 252 00:14:15,040 --> 00:14:17,319 Speaker 1: let's take a quick break and we'll be right back. 253 00:14:27,240 --> 00:14:34,560 Speaker 1: And we're back and the Olympics are over. We got 254 00:14:34,560 --> 00:14:41,720 Speaker 1: to watch a very weird, very French closing ceremony. We 255 00:14:41,800 --> 00:14:46,560 Speaker 1: got to meet Ygun b girl Raygun on the way out. 256 00:14:48,960 --> 00:14:53,440 Speaker 1: That was wild. So just let's just kind of go 257 00:14:53,520 --> 00:15:00,440 Speaker 1: through impressions thoughts. As mentioned I, you know, Miles and 258 00:15:00,440 --> 00:15:02,640 Speaker 1: I were talking about I was like not prepared for 259 00:15:02,760 --> 00:15:05,960 Speaker 1: how into the Olympics I was going to be and 260 00:15:06,040 --> 00:15:09,680 Speaker 1: then kind of gets me every time, but this time 261 00:15:09,720 --> 00:15:13,800 Speaker 1: in particular, I was refreshing the medal count all weekend 262 00:15:13,800 --> 00:15:15,600 Speaker 1: to see if the US was going to catch China. 263 00:15:17,200 --> 00:15:19,960 Speaker 1: I had multiple conversations where I was like, they should 264 00:15:20,000 --> 00:15:22,400 Speaker 1: have like a gold Derby or like a New York 265 00:15:22,400 --> 00:15:26,080 Speaker 1: Times election needle style list of like expected medals and 266 00:15:26,200 --> 00:15:31,240 Speaker 1: remaining events because because they just like they don't because 267 00:15:31,240 --> 00:15:33,680 Speaker 1: of the tape delay, they're like not trying to be 268 00:15:33,920 --> 00:15:37,760 Speaker 1: very forthcoming about when things are happening. So you'll watch 269 00:15:37,760 --> 00:15:40,480 Speaker 1: someone win a gold on TV and then like not 270 00:15:40,760 --> 00:15:44,840 Speaker 1: know if that gold is already included in the total, 271 00:15:45,320 --> 00:15:48,600 Speaker 1: and like they're very loose with like live. You know, 272 00:15:48,880 --> 00:15:52,640 Speaker 1: it says live sometimes when that shit is not live. 273 00:15:54,040 --> 00:15:56,960 Speaker 1: But anyways, I have that thought every four years where 274 00:15:56,960 --> 00:15:59,800 Speaker 1: I'm like, they should make it easier, Like someone should 275 00:15:59,800 --> 00:16:03,200 Speaker 1: just have like a hacked together unofficial web should be 276 00:16:03,280 --> 00:16:03,760 Speaker 1: that guy. 277 00:16:04,160 --> 00:16:05,360 Speaker 2: I'm seeing it happen. 278 00:16:05,520 --> 00:16:08,640 Speaker 1: I'm seeing it happen, but I'm also not the sort 279 00:16:08,680 --> 00:16:11,600 Speaker 1: of person who remembers to do that. 280 00:16:11,680 --> 00:16:15,040 Speaker 2: Thing I was thinking that about the Olympics in general, 281 00:16:15,160 --> 00:16:17,480 Speaker 2: is like it's really cool to be able to see 282 00:16:17,840 --> 00:16:21,560 Speaker 2: all of these sports that maybe you don't regularly have 283 00:16:21,680 --> 00:16:25,640 Speaker 2: access to or aren't popularized in the same way during 284 00:16:25,680 --> 00:16:28,600 Speaker 2: those four years, and to be able to like get 285 00:16:28,640 --> 00:16:31,640 Speaker 2: really into like I'm not out here like watching two 286 00:16:31,760 --> 00:16:34,480 Speaker 2: hundred meter race, you know what I mean, Like I'm 287 00:16:34,520 --> 00:16:37,160 Speaker 2: not out here watching synchronized swimming, even though there may 288 00:16:37,200 --> 00:16:38,840 Speaker 2: be events, but it makes me want to go to 289 00:16:38,920 --> 00:16:41,440 Speaker 2: more events in between, because it does give you an 290 00:16:41,480 --> 00:16:47,000 Speaker 2: appreciation for all of these different techniques and mental fortitude 291 00:16:47,040 --> 00:16:48,800 Speaker 2: that all of these different athletes have to have. 292 00:16:49,440 --> 00:16:53,720 Speaker 1: You're fucking bonkers, like the way they're able to suspend 293 00:16:53,880 --> 00:16:58,680 Speaker 1: themselves in the water like and just do whatever they 294 00:16:58,720 --> 00:17:01,480 Speaker 1: want with their body, like in time with one another 295 00:17:01,600 --> 00:17:03,440 Speaker 1: is really uh. 296 00:17:04,040 --> 00:17:06,480 Speaker 2: And the timing of it because I don't remember water, Like, 297 00:17:06,560 --> 00:17:09,320 Speaker 2: how do you hear the beat? Like you just counting? 298 00:17:09,560 --> 00:17:13,320 Speaker 2: Like that's crazy, that's raw dogging beats in rhythm. That's right, 299 00:17:13,480 --> 00:17:15,000 Speaker 2: that's I don't understand that. 300 00:17:15,240 --> 00:17:17,520 Speaker 1: Yeah. Yeah, their heads are underwater, so they can't know. 301 00:17:17,680 --> 00:17:21,879 Speaker 1: They're just like kind of tracking one another. The Yeah, 302 00:17:22,359 --> 00:17:25,760 Speaker 1: I learned something about an athlete, and then if somebody 303 00:17:25,800 --> 00:17:28,920 Speaker 1: walked into the room, I act like I've always known 304 00:17:29,200 --> 00:17:31,640 Speaker 1: that thing about them. I'm like, oh, yeah, she's she's 305 00:17:31,960 --> 00:17:35,119 Speaker 1: she's the best. She would actually win the four hundred 306 00:17:35,359 --> 00:17:39,160 Speaker 1: hurdles if the other girls weren't even jumping over hurdles. 307 00:17:40,080 --> 00:17:43,639 Speaker 2: That the term repage like I knew what it meant 308 00:17:43,720 --> 00:17:49,359 Speaker 2: this whole Yeah, like a little the the isn't it? 309 00:17:49,440 --> 00:17:53,159 Speaker 2: The the repasage rounds where they like it was like 310 00:17:53,200 --> 00:17:57,680 Speaker 2: the rescue rounds for like the track runs qualifying and 311 00:17:58,800 --> 00:17:59,240 Speaker 2: I think. 312 00:17:59,119 --> 00:18:02,160 Speaker 1: I watched it usually without much audio. 313 00:18:02,840 --> 00:18:05,480 Speaker 2: Oh, I had to listen to the commentary because some 314 00:18:05,520 --> 00:18:10,920 Speaker 2: of it was so fun like watching Noah Eagle. Noah 315 00:18:10,920 --> 00:18:14,000 Speaker 2: Eagle and Dwayne Wade comment on things was so fun. 316 00:18:14,080 --> 00:18:15,080 Speaker 1: Yeah, yeah, because. 317 00:18:14,880 --> 00:18:19,239 Speaker 2: Dayne Wade was like, I'm a Hooper and no Eagles 318 00:18:19,240 --> 00:18:21,560 Speaker 2: be really serious. They were great. I loved it. But 319 00:18:21,720 --> 00:18:22,880 Speaker 2: it was like the right dynamic. 320 00:18:23,280 --> 00:18:29,680 Speaker 1: Yeah. They the basketball was you know we I think 321 00:18:29,680 --> 00:18:33,320 Speaker 1: the last time we recorded the Serbia game was happening. 322 00:18:34,480 --> 00:18:37,240 Speaker 1: Both the Serbia game and the France game for the 323 00:18:37,320 --> 00:18:43,040 Speaker 1: US basketball were like high points for sports fandom for me. 324 00:18:44,080 --> 00:18:45,440 Speaker 2: Those were really fun games. 325 00:18:45,520 --> 00:18:46,240 Speaker 1: Oh my god. 326 00:18:46,680 --> 00:18:51,000 Speaker 2: It really felt like they, like the US was like, okay, 327 00:18:51,119 --> 00:18:52,960 Speaker 2: let me just like relax a little bit, and then 328 00:18:53,080 --> 00:18:56,800 Speaker 2: they had to like amp themselves up and be like 329 00:18:56,840 --> 00:18:59,560 Speaker 2: we're not going to be disrespected. Like Seth Curry like 330 00:18:59,600 --> 00:19:02,320 Speaker 2: turned it to turbo mode the last game. 331 00:19:02,400 --> 00:19:05,080 Speaker 1: Yeah, Miles said it as the Serbia game was going on, 332 00:19:05,160 --> 00:19:08,320 Speaker 1: and then a lot of people have since come to this, 333 00:19:08,400 --> 00:19:11,320 Speaker 1: but it really was like an Avengers film, Like it 334 00:19:11,400 --> 00:19:15,959 Speaker 1: was like, yeah, they were losing and then just just 335 00:19:16,080 --> 00:19:20,920 Speaker 1: in time and like on command, everybody's very special super 336 00:19:21,280 --> 00:19:24,480 Speaker 1: power like came out and they were able to like 337 00:19:24,640 --> 00:19:28,480 Speaker 1: do their thing. But yeah, Steph Curry, who had been 338 00:19:30,000 --> 00:19:32,280 Speaker 1: not great in the Olympics up to those last two 339 00:19:32,280 --> 00:19:38,240 Speaker 1: games was so so awesome. Was like really, you know, 340 00:19:38,640 --> 00:19:42,000 Speaker 1: proved that he's the greatest shooter of all time, greatest 341 00:19:42,000 --> 00:19:46,080 Speaker 1: shot maker of all time. The three he hit where 342 00:19:46,119 --> 00:19:48,000 Speaker 1: he had like two people on him and he was 343 00:19:48,000 --> 00:19:51,560 Speaker 1: like fading away and just like looked like he flung 344 00:19:51,600 --> 00:19:51,920 Speaker 1: it up. 345 00:19:52,640 --> 00:19:56,800 Speaker 2: Those those like pictures were insane. If you've seen stills 346 00:19:56,800 --> 00:19:57,359 Speaker 2: from it. 347 00:19:57,480 --> 00:20:00,879 Speaker 1: Yeah, Webbing Ama like trying to block it. Yeah. 348 00:20:01,680 --> 00:20:06,280 Speaker 2: And the French commentators on that were like, Steph Curry 349 00:20:06,320 --> 00:20:08,560 Speaker 2: the devil, stuph Curry is done, He's hurting us, He's 350 00:20:08,600 --> 00:20:13,600 Speaker 2: doing it. They calling him the devil and saying he was. 351 00:20:13,600 --> 00:20:23,080 Speaker 1: Hurting the French. I do enjoy like that. That's something 352 00:20:23,119 --> 00:20:28,000 Speaker 1: that I've I still remember when he went off like 353 00:20:28,119 --> 00:20:31,240 Speaker 1: early in his career against Oklahoma, the Oklahoma City Thunder, 354 00:20:31,359 --> 00:20:34,200 Speaker 1: and somebody was just like, Steph got a demon, that's all. 355 00:20:34,440 --> 00:20:37,720 Speaker 1: That's the only And I've always remember that because that 356 00:20:37,920 --> 00:20:40,840 Speaker 1: does It's one of those things like sometimes my kids 357 00:20:40,840 --> 00:20:43,200 Speaker 1: will have a temper tantrum like this where I'm like, oh, 358 00:20:43,280 --> 00:20:49,439 Speaker 1: I understand exactly why people believed in Satan before, you know, 359 00:20:49,840 --> 00:20:54,080 Speaker 1: like when when before like we knew science and psychology, 360 00:20:54,400 --> 00:20:57,000 Speaker 1: and like I feel like Steph Curry is the other reason, 361 00:20:57,440 --> 00:21:01,760 Speaker 1: like something yeah, like if awesome ande do that like 362 00:21:02,160 --> 00:21:07,080 Speaker 1: two hundred years ago, you would definitely have to at least, 363 00:21:07,280 --> 00:21:11,439 Speaker 1: you know, make sure that they could couldn't withstand like 364 00:21:11,480 --> 00:21:13,640 Speaker 1: a boiling body of water or something. 365 00:21:14,160 --> 00:21:16,720 Speaker 2: All those Salem witches were just like really good at track, 366 00:21:16,840 --> 00:21:17,400 Speaker 2: you know what I mean. 367 00:21:17,600 --> 00:21:20,320 Speaker 1: Yeah, maybe they're just like damn, did you see the 368 00:21:20,480 --> 00:21:21,680 Speaker 1: vert on her day? 369 00:21:21,720 --> 00:21:24,080 Speaker 2: We're just synchronized swimmers and it. 370 00:21:24,000 --> 00:21:28,960 Speaker 1: Took out some of her greatest athletes. And then of course, 371 00:21:29,000 --> 00:21:31,760 Speaker 1: I mean there's also the really cute Chinese silver medalist 372 00:21:31,840 --> 00:21:35,199 Speaker 1: and rhythmic gymnastics who saw the Italians doing the like 373 00:21:35,280 --> 00:21:37,240 Speaker 1: bite the metal with the side of the mouth thing 374 00:21:37,840 --> 00:21:42,000 Speaker 1: and then was like made an audible like oh and 375 00:21:42,040 --> 00:21:44,679 Speaker 1: then bit like put it in her mouth like a 376 00:21:44,720 --> 00:21:47,560 Speaker 1: cookie or like a pacifier or something that really cute. 377 00:21:48,119 --> 00:21:52,479 Speaker 2: I love watching the metal ceremonies because it's afterwards and 378 00:21:52,520 --> 00:21:55,480 Speaker 2: like everybody is like just so excited to be up there. 379 00:21:55,640 --> 00:21:59,280 Speaker 2: And then like even watching the women's like weightlifting, it 380 00:21:59,400 --> 00:22:02,399 Speaker 2: just looked so beautiful. I love watching women just like 381 00:22:02,480 --> 00:22:03,720 Speaker 2: hug each other on the podium. 382 00:22:04,160 --> 00:22:08,000 Speaker 1: I love the hugs. The hugs are humans crave hugs. 383 00:22:08,040 --> 00:22:12,840 Speaker 1: We crave like contact with one another. Uh. And it's 384 00:22:13,119 --> 00:22:15,320 Speaker 1: like you see it in athletics, Like you see it 385 00:22:15,359 --> 00:22:17,480 Speaker 1: when like somebody's going to the free throw line in 386 00:22:17,520 --> 00:22:20,879 Speaker 1: basketball and like they have to touch every other member 387 00:22:20,920 --> 00:22:23,680 Speaker 1: of their team's hand before they shoot and after they shoot, 388 00:22:23,920 --> 00:22:27,439 Speaker 1: and like they've done studies where that actually helps. 389 00:22:27,800 --> 00:22:30,200 Speaker 2: Like it's like improv. It's like I got your back 390 00:22:30,280 --> 00:22:32,159 Speaker 2: on improv where right before you go on stage you 391 00:22:32,160 --> 00:22:33,359 Speaker 2: pat each other on the back and you're like, I 392 00:22:33,359 --> 00:22:35,000 Speaker 2: got your back, I got your back, I got your back. 393 00:22:35,359 --> 00:22:38,879 Speaker 1: Yeah. The only NBA teams the US men's basketball did 394 00:22:38,960 --> 00:22:43,879 Speaker 1: zip zops app also, Yeah. 395 00:22:40,880 --> 00:22:43,760 Speaker 2: You could tell they were really in tune. That's what 396 00:22:43,800 --> 00:22:47,359 Speaker 2: one of their times that timeout was for. That would 397 00:22:47,359 --> 00:22:51,280 Speaker 2: be such a fun uh like Patch Adams like like 398 00:22:51,320 --> 00:22:53,200 Speaker 2: because I know Seth Crey has his show that's out, 399 00:22:53,240 --> 00:22:55,680 Speaker 2: but it'd be so funny if that's like they were, 400 00:22:55,720 --> 00:22:57,760 Speaker 2: there's a coach trying to get who was in improv, 401 00:22:57,800 --> 00:23:01,160 Speaker 2: who's trying to get them? That's a team. 402 00:23:00,800 --> 00:23:04,240 Speaker 1: Oh yeah, like a ten lasso with an improv coach 403 00:23:04,320 --> 00:23:05,200 Speaker 1: coaching in the NBA. 404 00:23:06,359 --> 00:23:13,159 Speaker 2: Yeah, there's uh, the only two uh moments that I 405 00:23:13,200 --> 00:23:16,800 Speaker 2: will say didn't happen is Jordan Chiles is still Lebronze medalist, 406 00:23:17,119 --> 00:23:19,280 Speaker 2: and nobody dunked on Lebron and we can just move on, 407 00:23:19,520 --> 00:23:20,800 Speaker 2: you know what I mean, we can just keep. 408 00:23:20,680 --> 00:23:22,960 Speaker 1: Going Lebron he was trying to take a charge. I 409 00:23:22,960 --> 00:23:24,520 Speaker 1: feel like I know it over. 410 00:23:26,880 --> 00:23:27,560 Speaker 2: It didn't happen. 411 00:23:27,720 --> 00:23:32,080 Speaker 1: People like this is worse than nine to eleven. I know, it's. 412 00:23:34,280 --> 00:23:36,199 Speaker 2: Dunk denialists. 413 00:23:36,320 --> 00:23:40,120 Speaker 1: Yeah, he was doing. He was so good that whole game. 414 00:23:40,160 --> 00:23:43,040 Speaker 1: He's like Lebron has gone up a whole new level 415 00:23:43,040 --> 00:23:45,159 Speaker 1: in my mind, Like I've always been a huge Lebron 416 00:23:45,240 --> 00:23:47,919 Speaker 1: stand but like what he was doing. Some of the 417 00:23:47,960 --> 00:23:51,679 Speaker 1: passes he was throwing throwing were so cool, and he 418 00:23:51,720 --> 00:23:54,760 Speaker 1: did it all with like a gray, old old ass 419 00:23:54,920 --> 00:23:56,960 Speaker 1: man beard. I know, I love. 420 00:23:58,280 --> 00:24:01,040 Speaker 2: It's crazy that he's playing with his son. That's insane 421 00:24:01,760 --> 00:24:05,240 Speaker 2: that like, that's how old he is, and he's been 422 00:24:05,359 --> 00:24:06,600 Speaker 2: this good for this long. 423 00:24:06,760 --> 00:24:10,680 Speaker 1: It's bonkers, all right. And then of course there was 424 00:24:11,000 --> 00:24:15,800 Speaker 1: Rey gun Uh doctor Rachel Gunn I think is her name. 425 00:24:17,119 --> 00:24:20,480 Speaker 1: She So I've heard it said a bunch of times 426 00:24:21,240 --> 00:24:23,920 Speaker 1: that they should let an average person compete in every 427 00:24:23,960 --> 00:24:28,360 Speaker 1: Olympic event for context, they finally did it by accident 428 00:24:28,840 --> 00:24:33,000 Speaker 1: in breakdancing. It did not go the way I would 429 00:24:33,040 --> 00:24:38,720 Speaker 1: have expected. The yeah, I don't know, hopefully you got 430 00:24:38,720 --> 00:24:44,000 Speaker 1: to see this Australian breakdancer before they like pulled all 431 00:24:44,000 --> 00:24:47,439 Speaker 1: the clips off social I think there's still some floating around. 432 00:24:47,520 --> 00:24:50,200 Speaker 1: Mostly it is people taking a video of their TV 433 00:24:50,440 --> 00:24:51,280 Speaker 1: and just laughing. 434 00:24:51,840 --> 00:24:55,600 Speaker 2: She basically was just like there were serious breakdancers, and 435 00:24:55,640 --> 00:24:58,240 Speaker 2: then she looked like she was just making fun of them. 436 00:24:58,280 --> 00:25:00,439 Speaker 2: She looked like she was from Alabi's Most Wanted. Like 437 00:25:00,760 --> 00:25:05,200 Speaker 2: it was this white, thirty six year old PhD woman 438 00:25:05,680 --> 00:25:08,600 Speaker 2: who was I guess trying to prove a point, which 439 00:25:08,680 --> 00:25:13,399 Speaker 2: is the whitest shit ever is to go into a 440 00:25:13,440 --> 00:25:17,679 Speaker 2: space created by black culture and then act like you 441 00:25:17,800 --> 00:25:20,560 Speaker 2: know more about it because you're being an academic about 442 00:25:20,560 --> 00:25:23,200 Speaker 2: it and not appreciating the culture. 443 00:25:24,119 --> 00:25:27,840 Speaker 1: It just it really seemed like someone was like making 444 00:25:27,840 --> 00:25:32,679 Speaker 1: fun like my, you know uncle, who's like breakdancing that 445 00:25:32,680 --> 00:25:36,879 Speaker 1: shouldn't be a sport, Like was watch breakdance and then 446 00:25:37,000 --> 00:25:39,080 Speaker 1: was like, oh, yeah I can do that too, this 447 00:25:39,160 --> 00:25:42,040 Speaker 1: is you or like the comparison I saw a lot 448 00:25:42,119 --> 00:25:44,880 Speaker 1: of people make is to like a five year old 449 00:25:45,280 --> 00:25:50,720 Speaker 1: immediately after watching an actual breakdancer, like yeah, be like, 450 00:25:50,760 --> 00:25:54,199 Speaker 1: oh yeah, we'll check this out. Like that's kind of 451 00:25:54,240 --> 00:25:54,919 Speaker 1: what it felt like. 452 00:25:55,560 --> 00:25:57,639 Speaker 2: The crazy thing is she got through like all the 453 00:25:57,720 --> 00:26:01,000 Speaker 2: trials and everything, and so it just like I don't 454 00:26:01,080 --> 00:26:05,080 Speaker 2: understand like what she was trying to prove or what 455 00:26:05,240 --> 00:26:07,200 Speaker 2: her message was. And the thing is like I don't 456 00:26:07,240 --> 00:26:09,600 Speaker 2: want to give air to it, Like I don't want 457 00:26:09,640 --> 00:26:12,760 Speaker 2: to understand it. I'm mad that she's famous. I'm mad 458 00:26:12,800 --> 00:26:16,040 Speaker 2: that she let people are like she's like this is 459 00:26:16,080 --> 00:26:18,560 Speaker 2: such a like a beautiful, like a fun moment, like 460 00:26:18,560 --> 00:26:22,240 Speaker 2: it made it the Olympics accessible. No, it's like demeaning 461 00:26:22,320 --> 00:26:25,080 Speaker 2: to break dancers. It's I think, to media to like 462 00:26:25,160 --> 00:26:30,879 Speaker 2: black culture, Like I don't I'm I'm just like pissed 463 00:26:31,080 --> 00:26:33,840 Speaker 2: that that spot was taken by her. 464 00:26:35,000 --> 00:26:39,480 Speaker 1: Yeah. It it really reminded me of this Naked Gun 465 00:26:39,600 --> 00:26:44,359 Speaker 1: umpire scene like where he like goes under cover as 466 00:26:44,400 --> 00:26:46,480 Speaker 1: an umpire and like doesn't know the rules of baseball 467 00:26:46,560 --> 00:26:48,480 Speaker 1: and it's just like kind of making it up as 468 00:26:48,480 --> 00:26:52,760 Speaker 1: he goes along. Like yeah, I think roy Wood Junior 469 00:26:52,800 --> 00:26:59,840 Speaker 1: made that comparison. The confidence, the utter ineptitude just to 470 00:27:00,119 --> 00:27:06,640 Speaker 1: an amazing combination. It's probably bad for breakdancing. I think 471 00:27:06,680 --> 00:27:10,159 Speaker 1: you're right, Like it was the fact that that was 472 00:27:10,200 --> 00:27:13,320 Speaker 1: the thing that Kate people took away from break dancing 473 00:27:13,440 --> 00:27:17,920 Speaker 1: rather than like the gold medal winner is a bummer. 474 00:27:18,760 --> 00:27:24,000 Speaker 1: At the same time, it was incredibly entertaining. So yeah, 475 00:27:24,200 --> 00:27:28,520 Speaker 1: I don't know. And and it looks like breakdancing is 476 00:27:28,560 --> 00:27:31,200 Speaker 1: not going to be back in la unfortunately. 477 00:27:32,119 --> 00:27:34,359 Speaker 2: So this white lady like took it away. 478 00:27:36,040 --> 00:27:38,720 Speaker 1: So they had already made that decision at a time. 479 00:27:38,840 --> 00:27:43,840 Speaker 1: But yeah, I blame ray Gun. Yeah she didn't even 480 00:27:43,960 --> 00:27:49,400 Speaker 1: like she just wore the Australian like warm up that 481 00:27:49,480 --> 00:27:52,320 Speaker 1: they like gave all the Olympic athletes. It was a 482 00:27:52,600 --> 00:27:53,520 Speaker 1: it was a wild look. 483 00:27:53,600 --> 00:27:56,359 Speaker 2: It felt like she stumbled into it for sure. 484 00:27:56,800 --> 00:28:02,080 Speaker 1: Yeah, Like it felt like someone woke her up that 485 00:28:02,200 --> 00:28:07,520 Speaker 1: morning was like you have to break dance. What it's like, Yeah, 486 00:28:07,520 --> 00:28:09,080 Speaker 1: here's a video of somebody else doing it. You need 487 00:28:09,119 --> 00:28:14,760 Speaker 1: to be out there in fifteen minutes. Anyways, Uh, the 488 00:28:14,880 --> 00:28:17,240 Speaker 1: NBC is still trying to make Jimmy Fallon happen. That 489 00:28:17,359 --> 00:28:21,520 Speaker 1: was the other kind of bummer thing. But other than that, 490 00:28:22,000 --> 00:28:25,600 Speaker 1: it's just so I don't know, did not need like 491 00:28:25,760 --> 00:28:29,479 Speaker 1: reaction shots of Jimmy Fallon during like these super iconic 492 00:28:29,560 --> 00:28:32,560 Speaker 1: basketball moments, like Steph Curry hit that shot, and then 493 00:28:32,600 --> 00:28:37,000 Speaker 1: the NBC's like cutaway to Jimmy Fallon's reaction shot, like, 494 00:28:37,040 --> 00:28:38,000 Speaker 1: I don't know, he's. 495 00:28:37,800 --> 00:28:40,760 Speaker 2: Like doing like he's he's doing like a song with 496 00:28:40,800 --> 00:28:44,560 Speaker 2: the roots on the side. He's like he's doing bits. 497 00:28:44,800 --> 00:28:48,960 Speaker 1: Yeah, but yeah. And then they had him like narrating 498 00:28:48,960 --> 00:28:51,480 Speaker 1: the closing ceremonies and just kind of like fucking up 499 00:28:51,520 --> 00:28:54,320 Speaker 1: the vibes. He asked Katie Ledecki if she was going 500 00:28:54,360 --> 00:28:57,840 Speaker 1: to fly home or swim home, and she was like, sorry, 501 00:28:57,960 --> 00:29:00,280 Speaker 1: I didn't hear that, and he was just like we 502 00:29:00,320 --> 00:29:04,960 Speaker 1: just all we love you so much the respect that 503 00:29:05,000 --> 00:29:08,239 Speaker 1: he bailed on the joke. Anyways, all right, let's take 504 00:29:08,280 --> 00:29:10,120 Speaker 1: a quick break. We'll come back. We'll check in with 505 00:29:10,440 --> 00:29:13,680 Speaker 1: the Trump campaign and other news stories. 506 00:29:13,680 --> 00:29:28,400 Speaker 3: We'll be right back, and we're back and back back 507 00:29:28,440 --> 00:29:29,440 Speaker 3: to real life. 508 00:29:29,800 --> 00:29:33,440 Speaker 1: No more, no more burying ourselves in the Olympics. 509 00:29:33,840 --> 00:29:34,160 Speaker 3: Uh. 510 00:29:34,320 --> 00:29:37,959 Speaker 1: Time to so that there's still a presidential election coming up. 511 00:29:37,960 --> 00:29:45,280 Speaker 1: Apparently a couple updates on that front. Trump's campaign was 512 00:29:45,360 --> 00:29:48,480 Speaker 1: hacked by Iran and you hate. 513 00:29:48,360 --> 00:29:51,440 Speaker 2: To do it, do they just hand over documents. 514 00:29:52,200 --> 00:29:56,480 Speaker 1: Right, somebody just emailed them and asked for them. They're 515 00:30:01,960 --> 00:30:04,320 Speaker 1: according to the Trump campaign, they were hacked by Iran 516 00:30:04,640 --> 00:30:08,040 Speaker 1: and issued a statement. It sounded like so weirdly familiar. 517 00:30:08,080 --> 00:30:09,880 Speaker 1: I can't I can't put my finger on why it 518 00:30:10,160 --> 00:30:12,640 Speaker 1: sounds so familiar. But they were saying these documents were 519 00:30:12,640 --> 00:30:16,120 Speaker 1: obtained illegally from foreign sources hostile to the United States, 520 00:30:16,360 --> 00:30:19,400 Speaker 1: intended to interfere with the twenty twenty four election, and 521 00:30:19,480 --> 00:30:24,600 Speaker 1: so chaos through our throughout our democratic process. You'd think 522 00:30:24,600 --> 00:30:27,280 Speaker 1: they would have like done something to like put it 523 00:30:27,360 --> 00:30:31,400 Speaker 1: in Trump's voice, so it wouldn't sound exactly like the 524 00:30:31,480 --> 00:30:33,800 Speaker 1: Hillary Clinton campaign when they were. 525 00:30:33,640 --> 00:30:36,880 Speaker 2: Hacked by Russia, like so wild. 526 00:30:37,120 --> 00:30:39,640 Speaker 1: It's like it's it's. 527 00:30:39,560 --> 00:30:43,400 Speaker 2: Like when Milania stole Michelle Obama's. 528 00:30:42,840 --> 00:30:50,080 Speaker 1: Speech, still my favorite speech, the best. She just like 529 00:30:50,200 --> 00:30:54,000 Speaker 1: removed some words, but like it was no longer grammatical. 530 00:30:54,600 --> 00:30:56,800 Speaker 2: I think politicians should be able to do covers. I 531 00:30:56,800 --> 00:30:59,480 Speaker 2: think that's fair. Yeah, yeah, if we're still talking about 532 00:30:59,480 --> 00:31:01,120 Speaker 2: the same issue, we should still be able to use 533 00:31:01,120 --> 00:31:01,920 Speaker 2: the same speeches. 534 00:31:03,840 --> 00:31:06,880 Speaker 1: The hackers apparently send a shitload of documents to Politico, 535 00:31:07,200 --> 00:31:10,400 Speaker 1: and while Politico hasn't published anything. They did give us 536 00:31:10,960 --> 00:31:14,720 Speaker 1: the most appetizing little morsel in a description of what 537 00:31:15,560 --> 00:31:18,280 Speaker 1: was in the documents, they said, one is a quote 538 00:31:18,320 --> 00:31:23,520 Speaker 1: research dossier the campaign apparently conducted on JD Vance. 539 00:31:24,080 --> 00:31:26,640 Speaker 2: It's just a bunch of testimonies from couches. 540 00:31:27,360 --> 00:31:33,200 Speaker 1: That's right, Like there's pizzas in there. What if they're like, look, 541 00:31:33,320 --> 00:31:37,520 Speaker 1: we have nothing to base this on. It's he never 542 00:31:37,520 --> 00:31:41,120 Speaker 1: wrote it, but the guy has the vibes of somebody 543 00:31:41,120 --> 00:31:45,120 Speaker 1: who fus couches. We can't explain it, but just beware 544 00:31:45,400 --> 00:31:50,840 Speaker 1: if one person suggests that, even remotely suggests that on 545 00:31:50,920 --> 00:31:54,360 Speaker 1: social media, Uh, it's going to catch on. Like if 546 00:31:54,360 --> 00:31:55,720 Speaker 1: their intelligence was that. 547 00:31:55,840 --> 00:31:58,480 Speaker 2: Good, it's like the Batman dossier on the rest of 548 00:31:58,520 --> 00:32:00,160 Speaker 2: the Justice League. But it's just like a fire all 549 00:32:00,200 --> 00:32:01,040 Speaker 2: full of couch. 550 00:32:01,040 --> 00:32:05,640 Speaker 1: Couch couch shit. Yeah, I don't know. Maybe it would 551 00:32:05,640 --> 00:32:09,480 Speaker 1: be boring since they did end up choosing him, so 552 00:32:09,680 --> 00:32:14,160 Speaker 1: apparently whatever they found was not so it was not 553 00:32:14,280 --> 00:32:26,640 Speaker 1: enough to scare them off. The advance trant. 554 00:32:19,880 --> 00:32:25,360 Speaker 2: That like, the only people that are competent maybe put 555 00:32:25,360 --> 00:32:27,800 Speaker 2: together put it together. And then Trump didn't read it. 556 00:32:28,040 --> 00:32:30,000 Speaker 2: He just was like, what does my son want me 557 00:32:30,040 --> 00:32:30,320 Speaker 2: to do? 558 00:32:30,680 --> 00:32:34,360 Speaker 1: Yeah, it also apparently has vetting of the VP candidates 559 00:32:34,400 --> 00:32:38,200 Speaker 1: who didn't make it, like Marco Rubio. So uh, should 560 00:32:38,200 --> 00:32:43,720 Speaker 1: be interesting if that ever drops. But just a quick 561 00:32:43,920 --> 00:32:50,800 Speaker 1: vibes check for the race. It feels like, and again 562 00:32:51,040 --> 00:32:54,680 Speaker 1: you do hate to see it, folks. Feels like Trump 563 00:32:54,720 --> 00:32:58,960 Speaker 1: and his supporters are really struggling right now. We're seeing 564 00:32:59,000 --> 00:33:04,239 Speaker 1: a lot of energy for Harris and Walls and a 565 00:33:04,280 --> 00:33:08,640 Speaker 1: lot of responses for Trump and team that seem pretty 566 00:33:09,200 --> 00:33:14,360 Speaker 1: out of line with what is actually happening. You know, 567 00:33:14,480 --> 00:33:19,680 Speaker 1: their Harris. So apparently Harris had twelve thousand people turn 568 00:33:19,720 --> 00:33:23,720 Speaker 1: out for her rallies and Philly in Wisconsin, fifteen thousand 569 00:33:23,720 --> 00:33:30,480 Speaker 1: in Detroit. Vegas had twelve thousand people inside UNLV's arena 570 00:33:30,800 --> 00:33:33,400 Speaker 1: and they had to like turn four thousand people away 571 00:33:33,560 --> 00:33:35,760 Speaker 1: because they were getting heatstroked because it was one hundred 572 00:33:35,760 --> 00:33:37,120 Speaker 1: and nine degrees outside. 573 00:33:37,760 --> 00:33:40,479 Speaker 2: Some Waltz had to stop his speech in multiple cities 574 00:33:40,480 --> 00:33:42,680 Speaker 2: and be like, someone, get that person water. 575 00:33:42,880 --> 00:33:45,800 Speaker 1: Like a fucking beetle. Like it was like beatle Mania, 576 00:33:45,880 --> 00:33:49,360 Speaker 1: Like people are fainting in the front row and he's 577 00:33:49,400 --> 00:33:54,440 Speaker 1: having to like point them out. Yeah, but meanwhile Trump 578 00:33:54,600 --> 00:34:00,600 Speaker 1: is like launching conspiracy theories about their crowd size, claiming 579 00:34:00,880 --> 00:34:05,080 Speaker 1: like the images and report about Kamala having big crowds 580 00:34:05,200 --> 00:34:10,960 Speaker 1: or like digital manipulations. He like posted a photograph of 581 00:34:11,120 --> 00:34:14,400 Speaker 1: like this massive crowd outside of air Force too, like 582 00:34:14,480 --> 00:34:18,000 Speaker 1: where you know, on the tarmac, and it does look 583 00:34:18,880 --> 00:34:21,520 Speaker 1: altered like it just like the picture is like a 584 00:34:21,560 --> 00:34:24,239 Speaker 1: little crisp. I don't know if like they you know, 585 00:34:24,360 --> 00:34:27,120 Speaker 1: did some touch up work on it. But he was like, 586 00:34:27,600 --> 00:34:31,839 Speaker 1: you know, just with it. He said, look, we caught 587 00:34:31,880 --> 00:34:35,040 Speaker 1: it with a fake quote crowd. There was nobody there, 588 00:34:35,600 --> 00:34:40,360 Speaker 1: and like all you would have to do is search 589 00:34:41,800 --> 00:34:45,520 Speaker 1: on the internet for any want like a video of it, 590 00:34:45,560 --> 00:34:48,640 Speaker 1: and you would have been able to find that this 591 00:34:48,920 --> 00:34:53,440 Speaker 1: was in fact by photograph from fifteen thousand people showing 592 00:34:53,520 --> 00:34:56,680 Speaker 1: up in Detroit for them. 593 00:34:56,880 --> 00:34:59,920 Speaker 2: It also is like he's using the same arguments that 594 00:35:00,040 --> 00:35:03,759 Speaker 2: they're using in order to try to boost the numbers 595 00:35:03,840 --> 00:35:06,239 Speaker 2: around his crowds, which is he's saying like, oh, they 596 00:35:06,239 --> 00:35:08,160 Speaker 2: turned them away. I don't want to turn them away, 597 00:35:08,160 --> 00:35:10,200 Speaker 2: but they said they had to turn them away for 598 00:35:10,320 --> 00:35:13,279 Speaker 2: his rallies, And it's like what are they can turn 599 00:35:13,360 --> 00:35:17,880 Speaker 2: like four more people away that many people outside or 600 00:35:17,960 --> 00:35:20,640 Speaker 2: like jd Vance had a rally but it was mostly 601 00:35:20,719 --> 00:35:24,120 Speaker 2: like press people and it was just like because nobody 602 00:35:24,160 --> 00:35:27,560 Speaker 2: wanted to be around them. So it's just like super awkward. 603 00:35:27,640 --> 00:35:31,640 Speaker 2: But it's crazy how the ratings invigorate Trump, Like that's 604 00:35:31,719 --> 00:35:36,520 Speaker 2: clearly his motivator for everything. That like spices up his attacks, 605 00:35:36,640 --> 00:35:41,600 Speaker 2: Like yeah, he gets some like it really upsets him 606 00:35:41,760 --> 00:35:45,280 Speaker 2: that she is having these this energy and this crowd 607 00:35:45,320 --> 00:35:49,280 Speaker 2: and these donations and things, and he's still stuck on Biden. 608 00:35:49,360 --> 00:35:52,120 Speaker 2: He's still posting about like Biden. 609 00:35:52,440 --> 00:35:57,400 Speaker 1: Yeah, fan fishing is going to like take the nomination 610 00:35:57,600 --> 00:36:04,319 Speaker 1: back at the DNC. He Yeah, he just can't. He 611 00:36:04,680 --> 00:36:08,840 Speaker 1: can't see the appeal of Kamala Harris and his supporters, 612 00:36:09,400 --> 00:36:12,680 Speaker 1: like his most ardent supporters can't see the appeal of 613 00:36:12,719 --> 00:36:19,600 Speaker 1: Kamala Harris because they're racist, and so they can't deal 614 00:36:19,640 --> 00:36:23,760 Speaker 1: with it. Like they're really having a hard time dealing 615 00:36:24,160 --> 00:36:27,480 Speaker 1: like making sense of it. Like they see the massive crowd, 616 00:36:27,520 --> 00:36:33,280 Speaker 1: they see people excited, and they're like those people can't exist. 617 00:36:33,760 --> 00:36:36,560 Speaker 1: It does remind me of like how I think a 618 00:36:36,600 --> 00:36:41,480 Speaker 1: lot of like live brained people greeted the rise of 619 00:36:41,480 --> 00:36:45,040 Speaker 1: Trump in like twenty sixteen, where they were like there's 620 00:36:45,280 --> 00:36:49,920 Speaker 1: no way that many people are into him because I 621 00:36:50,120 --> 00:36:56,000 Speaker 1: find him abhorrent, you know, and because I thought racism 622 00:36:56,120 --> 00:36:58,799 Speaker 1: was cured when we elected Obama, you know, so like 623 00:36:58,880 --> 00:37:04,000 Speaker 1: they couldn't to deal with the crowd size because they 624 00:37:04,120 --> 00:37:06,560 Speaker 1: just they were like, well, now he said something racist, 625 00:37:06,560 --> 00:37:09,880 Speaker 1: so certainly this will be the end of his campaign. 626 00:37:09,960 --> 00:37:13,000 Speaker 1: And it's like, no, no, the racism is the point, 627 00:37:13,160 --> 00:37:17,760 Speaker 1: and that's why there's so many people there because America racist. 628 00:37:18,640 --> 00:37:21,080 Speaker 2: Did you see that video where he called Kamala He's 629 00:37:21,080 --> 00:37:22,560 Speaker 2: like in a golf cart and he called her a 630 00:37:22,600 --> 00:37:23,400 Speaker 2: fucking bitch. 631 00:37:23,920 --> 00:37:26,799 Speaker 1: No, do we have a video now? I know that there, 632 00:37:26,800 --> 00:37:28,759 Speaker 1: it's been reported. So I want to talk about that 633 00:37:28,800 --> 00:37:33,120 Speaker 1: New York Times article because that is a banger from 634 00:37:33,200 --> 00:37:38,600 Speaker 1: Haberman and co. At the New York Times. They yeah, 635 00:37:39,520 --> 00:37:44,480 Speaker 1: it just talked about like what they call the worst 636 00:37:44,719 --> 00:37:48,799 Speaker 1: couple weeks, the worst few weeks of his campaign, and 637 00:37:49,440 --> 00:37:52,080 Speaker 1: one of the one of the details was that he 638 00:37:53,120 --> 00:37:57,440 Speaker 1: was but was heard calling her a bitch behind the scenes. 639 00:37:57,680 --> 00:37:59,919 Speaker 1: But I did not know that. We had him on 640 00:38:00,080 --> 00:38:01,000 Speaker 1: wax doing it. 641 00:38:01,640 --> 00:38:04,480 Speaker 2: Yeah, my computer is frosen right now, so I can't 642 00:38:04,560 --> 00:38:07,600 Speaker 2: navigate to it. But there is there is a video 643 00:38:07,840 --> 00:38:10,160 Speaker 2: of him, and it's like clear that he didn't know 644 00:38:10,200 --> 00:38:11,960 Speaker 2: he was being recorded, because it was kind of like 645 00:38:12,000 --> 00:38:14,799 Speaker 2: at waste level and someone outside of a golf cart 646 00:38:14,840 --> 00:38:16,480 Speaker 2: is recording him, and he's in it and he's talking 647 00:38:16,480 --> 00:38:19,160 Speaker 2: about how great he did at the debate, and then 648 00:38:19,160 --> 00:38:23,839 Speaker 2: he calls Kamala a fucking bitch wow, very casually, and 649 00:38:25,400 --> 00:38:30,200 Speaker 2: it's just like sometimes, like, you know, he is a 650 00:38:30,239 --> 00:38:33,200 Speaker 2: bigot and a fascist and all of these things. But 651 00:38:33,280 --> 00:38:38,920 Speaker 2: then we kind of kind of remove him from like 652 00:38:39,600 --> 00:38:44,520 Speaker 2: that personhood of like that person that you see in 653 00:38:44,560 --> 00:38:47,600 Speaker 2: your daily life who that actually has these like really dismissive, 654 00:38:47,920 --> 00:38:50,600 Speaker 2: dehumanizing feelings, and then you see a clip of him 655 00:38:51,040 --> 00:38:55,360 Speaker 2: be so casually disgusting and you're just like, oh, yeah, 656 00:38:55,360 --> 00:38:58,279 Speaker 2: this is like a real person and this embodies like 657 00:38:58,920 --> 00:39:01,439 Speaker 2: real people that I have interacted with in my life, 658 00:39:01,480 --> 00:39:06,680 Speaker 2: and it gives you like a visceral reaction, right like 659 00:39:07,400 --> 00:39:12,040 Speaker 2: anger and fear and discussed with how this person actually 660 00:39:12,120 --> 00:39:15,200 Speaker 2: views women, how they actually view black and brown people 661 00:39:15,560 --> 00:39:16,800 Speaker 2: and immigrants at everything. 662 00:39:16,880 --> 00:39:20,839 Speaker 1: You're just like, oh, yeah, yeah, there was just a 663 00:39:20,880 --> 00:39:24,600 Speaker 1: poll that said that people actually trust her more on 664 00:39:24,640 --> 00:39:28,800 Speaker 1: the economy than Trump. And I don't know the strength 665 00:39:29,120 --> 00:39:34,040 Speaker 1: of the policizes we can, but the way it was 666 00:39:34,040 --> 00:39:35,799 Speaker 1: agreed on the right was like, well, now we have 667 00:39:36,000 --> 00:39:40,440 Speaker 1: proof that they're lying. And weirdly, the poll said that 668 00:39:41,120 --> 00:39:44,400 Speaker 1: people trust Trump to make them richer, but trust Harris 669 00:39:44,440 --> 00:39:47,680 Speaker 1: to run the US economy better. And the New York 670 00:39:47,719 --> 00:39:50,040 Speaker 1: Post is like, well, well that doesn't make any sense 671 00:39:50,080 --> 00:39:54,120 Speaker 1: at all, and like not not making room for the 672 00:39:54,160 --> 00:39:58,960 Speaker 1: idea that people might recognize that just like tax breaks 673 00:39:59,200 --> 00:40:03,600 Speaker 1: are actually really bad for the economy overall, like if 674 00:40:03,600 --> 00:40:07,680 Speaker 1: there's no taxation and is just doing the worst thing 675 00:40:09,040 --> 00:40:14,320 Speaker 1: that everybody kind of secretly selfishly wants but doesn't actually 676 00:40:14,880 --> 00:40:19,600 Speaker 1: benefit like the overall running of the country. Yeah, I 677 00:40:19,600 --> 00:40:21,360 Speaker 1: don't know, or maybe the polls bullshit. 678 00:40:21,719 --> 00:40:27,160 Speaker 2: I think the American people hold different contradictory opposing thoughts 679 00:40:27,160 --> 00:40:32,640 Speaker 2: at the same time, a lot like how I think 680 00:40:32,680 --> 00:40:38,479 Speaker 2: there was some pull on like how they like view 681 00:40:38,600 --> 00:40:41,080 Speaker 2: or treat the border, like they want the border security, 682 00:40:41,120 --> 00:40:44,200 Speaker 2: but simultaneously if you're like, hey, this immigrant came through 683 00:40:44,280 --> 00:40:46,280 Speaker 2: for this reason, They're like, oh, yeah, I want them here. 684 00:40:46,600 --> 00:40:50,960 Speaker 2: You know, Like the people have a hard time conceptualizing 685 00:40:51,000 --> 00:40:54,440 Speaker 2: how policy affects them in a very real and day 686 00:40:54,480 --> 00:40:57,520 Speaker 2: to day way, and so they can hold these opposing 687 00:40:57,560 --> 00:41:00,319 Speaker 2: thoughts where they think, like the economy is this like 688 00:41:00,400 --> 00:41:02,879 Speaker 2: big thing, but Trump's going to get me rich, you know. 689 00:41:02,960 --> 00:41:06,000 Speaker 1: Right yeah yeah, and also they're incorrect about Trump getting 690 00:41:06,000 --> 00:41:09,400 Speaker 1: you rich but yeah the day, yeah, like he's the 691 00:41:09,520 --> 00:41:12,919 Speaker 1: rich money guy though, so he's going to make me rich. 692 00:41:13,080 --> 00:41:17,520 Speaker 1: But uh anyways, uh yeah, I want to get to 693 00:41:17,520 --> 00:41:20,960 Speaker 1: this New York Times article Haberman and co reporting on 694 00:41:21,120 --> 00:41:24,400 Speaker 1: the Worst couple Weeks. It opens with him at a 695 00:41:24,480 --> 00:41:29,800 Speaker 1: meeting with some of his wealthiest donors from this iteration 696 00:41:29,920 --> 00:41:33,200 Speaker 1: of the Business Plot twenty twenty four, you know, because 697 00:41:33,440 --> 00:41:36,759 Speaker 1: it is straight up like if he wins, like I know, 698 00:41:37,239 --> 00:41:39,160 Speaker 1: like we're tired of being like this is the most 699 00:41:39,200 --> 00:41:43,560 Speaker 1: important election, Like we're really fucked like he with what 700 00:41:43,600 --> 00:41:47,320 Speaker 1: we've seen from the Supreme Court, like he's never going 701 00:41:47,440 --> 00:41:52,520 Speaker 1: to like leave office unless he's dead. Like that's where really, 702 00:41:52,800 --> 00:41:57,360 Speaker 1: that's it. So but yeah, so we've got like guys 703 00:41:57,400 --> 00:42:00,799 Speaker 1: like Bill Ackman, Omid Malik, who names I didn't know 704 00:42:00,840 --> 00:42:02,840 Speaker 1: before this article, but I do feel like we should 705 00:42:02,920 --> 00:42:06,200 Speaker 1: name names because these people are fucking monsters. They're all 706 00:42:06,239 --> 00:42:10,920 Speaker 1: like his key benefactors. And so they open this meeting. 707 00:42:11,080 --> 00:42:13,520 Speaker 1: It's after Harris has joined and like kind of shot 708 00:42:13,560 --> 00:42:17,080 Speaker 1: up in the polls, and they're like, obviously this has 709 00:42:17,160 --> 00:42:24,280 Speaker 1: been going not great. How do we pivot? I'm assuming 710 00:42:24,280 --> 00:42:26,759 Speaker 1: they said pivot, because like business guys love to talk 711 00:42:26,760 --> 00:42:30,800 Speaker 1: about pivoting, and Trump's opener was, well, we got to 712 00:42:30,800 --> 00:42:34,640 Speaker 1: stop the steal, which like that's not even this election. 713 00:42:35,600 --> 00:42:38,920 Speaker 1: And then next he like bragged about how hard he 714 00:42:39,040 --> 00:42:43,319 Speaker 1: nailed the National Association of Black Journalists panel, and they 715 00:42:43,320 --> 00:42:48,719 Speaker 1: were like, what the fuck are you talking about? And 716 00:42:48,760 --> 00:42:54,640 Speaker 1: then like and sort of less vibe, more terrifying news 717 00:42:54,680 --> 00:42:58,279 Speaker 1: From this article, he also described the assassination attempts as 718 00:42:58,360 --> 00:43:03,120 Speaker 1: potentially the Democrats trying to kill him. 719 00:43:02,200 --> 00:43:05,520 Speaker 2: When it was a Republican and also we've all forgotten 720 00:43:05,560 --> 00:43:06,040 Speaker 2: about that. 721 00:43:06,520 --> 00:43:10,800 Speaker 1: It's crazy how quickly that just stopped being I remember 722 00:43:10,880 --> 00:43:12,880 Speaker 1: like in the immediate aftermath, we were like, well, this 723 00:43:12,960 --> 00:43:16,680 Speaker 1: changes everything. And then some people are like, or are 724 00:43:16,680 --> 00:43:19,680 Speaker 1: we going to forget about this? Because the news cycle 725 00:43:20,280 --> 00:43:23,920 Speaker 1: is so fucking crazy and just the turnover. 726 00:43:23,719 --> 00:43:28,399 Speaker 2: Just the news cycle, it's him not being good at 727 00:43:28,440 --> 00:43:32,440 Speaker 2: messaging or branding or like using that as an opportunity 728 00:43:32,840 --> 00:43:36,799 Speaker 2: for his campaign to pivot from I'm a business guy, 729 00:43:37,040 --> 00:43:39,520 Speaker 2: to pivot from all the negative. 730 00:43:39,880 --> 00:43:43,040 Speaker 1: Thank you saying pivot because I need that. 731 00:43:43,840 --> 00:43:51,280 Speaker 2: He wasn't synchronicity ing with the Democrats after the assassination attempt, 732 00:43:51,320 --> 00:43:53,520 Speaker 2: so it's like, Okay, Trump's gonna trump, so we're just 733 00:43:53,560 --> 00:43:56,520 Speaker 2: going to react to that. Yeah, yeah, a lot of 734 00:43:56,520 --> 00:43:57,600 Speaker 2: what Democrats have been doing. 735 00:43:57,880 --> 00:44:01,520 Speaker 1: So we're still waiting to see if he turns on JD. 736 00:44:01,640 --> 00:44:04,840 Speaker 1: Vance But uh, you know, during during his mar A 737 00:44:04,880 --> 00:44:07,440 Speaker 1: Lago Jazz sessh at the end of last week, he 738 00:44:07,480 --> 00:44:11,600 Speaker 1: said JD's doing a great job. But according to this article, 739 00:44:11,719 --> 00:44:16,160 Speaker 1: behind the scenes, when someone was like, they're calling us weird, 740 00:44:16,600 --> 00:44:20,799 Speaker 1: he was like, uh, they're saying that about JD, not me. Yeah, 741 00:44:21,200 --> 00:44:24,719 Speaker 1: fucking love. He's just so quick to throw people under 742 00:44:24,719 --> 00:44:29,120 Speaker 1: the bus. But yeah, just generally it feels like he's 743 00:44:29,160 --> 00:44:33,319 Speaker 1: in the position of wishing things were different. He wants 744 00:44:33,360 --> 00:44:35,640 Speaker 1: it to be one way, but it's the other way. 745 00:44:35,800 --> 00:44:38,239 Speaker 1: To quote Marlowe Stanfield, get in. 746 00:44:38,200 --> 00:44:40,200 Speaker 2: Line, buddy. We're all we're all like that. 747 00:44:40,520 --> 00:44:46,440 Speaker 1: I know, but he's like, really, he's usually not this transparently, 748 00:44:46,840 --> 00:44:50,360 Speaker 1: Like where where that the post where he like wrote 749 00:44:50,360 --> 00:44:54,000 Speaker 1: the fan fiction about Biden. He's like, Biden is so mad, 750 00:44:54,200 --> 00:44:56,360 Speaker 1: he must be and he's gonna like come back and 751 00:44:56,400 --> 00:44:59,040 Speaker 1: take the nomination back, and then he's gonna challenge me 752 00:44:59,120 --> 00:45:00,840 Speaker 1: to a debate, but the I'm gonna beat him up 753 00:45:00,880 --> 00:45:04,600 Speaker 1: in front of all everybody, and it's gonna be tough 754 00:45:04,880 --> 00:45:09,080 Speaker 1: and everyone's gonna love me. Like it just felt so 755 00:45:09,280 --> 00:45:13,640 Speaker 1: weird and desperate, along with the like claiming that her 756 00:45:13,760 --> 00:45:17,880 Speaker 1: crowds are photo shopped and they're not, and then like 757 00:45:18,640 --> 00:45:22,480 Speaker 1: the only rally that he's held is in Bozeman, Montana, 758 00:45:23,080 --> 00:45:26,120 Speaker 1: and he played my Heart Will go On at the 759 00:45:26,200 --> 00:45:27,080 Speaker 1: Montana rally. 760 00:45:27,760 --> 00:45:30,239 Speaker 2: This was and then Celindion's people had to be like, 761 00:45:30,360 --> 00:45:33,440 Speaker 2: we did not give him approval for that, stop immediately, 762 00:45:33,840 --> 00:45:35,520 Speaker 2: and also why that saw. 763 00:45:35,680 --> 00:45:40,399 Speaker 1: Why a Titanic song as your campaign is famously floundering, 764 00:45:41,320 --> 00:45:41,920 Speaker 1: like like. 765 00:45:41,960 --> 00:45:44,479 Speaker 2: I'm gonna hold onto the door and I'm shoving JD 766 00:45:44,719 --> 00:45:45,319 Speaker 2: under the water. 767 00:45:45,520 --> 00:45:51,640 Speaker 1: Yeah, and then he also like canceled ABC debate and 768 00:45:51,680 --> 00:45:54,360 Speaker 1: then reversed when people made fun of him for being scared. 769 00:45:54,400 --> 00:45:59,000 Speaker 1: He just feels scared and desperate and like he's like 770 00:45:59,480 --> 00:46:03,480 Speaker 1: just once wants everybody to look at him and wants 771 00:46:03,520 --> 00:46:07,920 Speaker 1: to change how this all is going. And I'm sure 772 00:46:09,080 --> 00:46:14,319 Speaker 1: you know right now the media is like at a 773 00:46:14,440 --> 00:46:17,720 Speaker 1: full one eighty from the stories they were writing about 774 00:46:17,719 --> 00:46:21,239 Speaker 1: a month ago. And there are plenty of Trump advisors 775 00:46:21,280 --> 00:46:23,960 Speaker 1: behind the scenes who are like, this is exactly what 776 00:46:24,040 --> 00:46:27,920 Speaker 1: we predicted the day she replaced Biden. It will last 777 00:46:27,960 --> 00:46:30,520 Speaker 1: through the DNC and then the energy will be over 778 00:46:32,640 --> 00:46:35,120 Speaker 1: and maybe they're right, Like the Kamala thing does feel 779 00:46:35,160 --> 00:46:40,600 Speaker 1: like there's a lot of energy right now, just based 780 00:46:40,640 --> 00:46:43,840 Speaker 1: on the fact that people are so happy that Biden 781 00:46:43,920 --> 00:46:47,040 Speaker 1: dropped out, you know, and like people like the idea 782 00:46:47,320 --> 00:46:49,480 Speaker 1: of her. But I don't know, what. 783 00:46:49,320 --> 00:46:51,279 Speaker 2: What do you think it's gonna I think it's gonna 784 00:46:51,360 --> 00:46:57,120 Speaker 2: last because I think like white women in this country 785 00:46:57,160 --> 00:46:59,799 Speaker 2: have a lot of buying power. I think that's part 786 00:46:59,840 --> 00:47:01,840 Speaker 2: of the reason that like Taylor Swift is one of 787 00:47:01,840 --> 00:47:05,719 Speaker 2: the largest artists of our time, and I feel like 788 00:47:05,880 --> 00:47:09,799 Speaker 2: they have been really activated in a way where they 789 00:47:09,840 --> 00:47:13,680 Speaker 2: can advocate for women and women of color, like they 790 00:47:13,680 --> 00:47:15,840 Speaker 2: feel like they can take that on their mantle, you 791 00:47:15,840 --> 00:47:19,680 Speaker 2: know what I mean. And so and you know, Brian 792 00:47:19,760 --> 00:47:22,480 Speaker 2: is saying, oh, she's a cop though, but like she 793 00:47:23,200 --> 00:47:28,920 Speaker 2: white women love that women love a manager or a cop, 794 00:47:29,080 --> 00:47:29,239 Speaker 2: you know. 795 00:47:29,320 --> 00:47:33,480 Speaker 1: I see every eighties movie with Bruce Willis or Mel Gibson. 796 00:47:33,800 --> 00:47:35,000 Speaker 1: White women love a cop. 797 00:47:35,960 --> 00:47:39,560 Speaker 2: White women love a cop, and they love someone who's 798 00:47:39,600 --> 00:47:41,799 Speaker 2: gonna girl boss like she did when she shut down 799 00:47:41,840 --> 00:47:46,800 Speaker 2: the Gaza protesters in Michigan and was like I'm speaking now. 800 00:47:46,960 --> 00:47:50,920 Speaker 2: So they it's very it's very bought into by a 801 00:47:50,960 --> 00:47:53,680 Speaker 2: certain demographic that I think will have the energy to 802 00:47:53,719 --> 00:47:55,200 Speaker 2: carry it through the election. 803 00:47:55,880 --> 00:48:00,360 Speaker 1: Yeah, well, we will see. She hasn't really been with 804 00:48:00,400 --> 00:48:04,720 Speaker 1: the media. So that's like the there's some Tim Wall's 805 00:48:04,760 --> 00:48:09,719 Speaker 1: stuff about his military record that the Republicans are anytime 806 00:48:09,920 --> 00:48:13,960 Speaker 1: a Democrat like has a military record, the Democrat, the 807 00:48:13,960 --> 00:48:16,080 Speaker 1: Republicans are going to attack the shit out of it, 808 00:48:16,160 --> 00:48:20,759 Speaker 1: Like John Kerry was like certified war hero, and they 809 00:48:20,800 --> 00:48:26,160 Speaker 1: somehow turned that into a liability. Tim Walls just served 810 00:48:26,200 --> 00:48:29,200 Speaker 1: in the military, and they're going hard after him. They 811 00:48:29,200 --> 00:48:31,120 Speaker 1: got somebody who had served with him to come out 812 00:48:31,120 --> 00:48:36,000 Speaker 1: and be like, he's totally fabricated everything. They Yeah, I 813 00:48:36,000 --> 00:48:38,239 Speaker 1: mean it's like I'm the Daily Beast, but I haven't 814 00:48:38,239 --> 00:48:39,920 Speaker 1: seen it pick up a ton of traction. But I 815 00:48:40,000 --> 00:48:44,360 Speaker 1: do think that is going to be happening until the 816 00:48:44,400 --> 00:48:46,600 Speaker 1: day after the election, Like they're going to be going 817 00:48:46,640 --> 00:48:50,440 Speaker 1: hard off that just because they always always do because 818 00:48:50,480 --> 00:48:55,680 Speaker 1: they feel like there's just something about democrats at their 819 00:48:55,719 --> 00:48:58,880 Speaker 1: core that like people don't trust on military stuff, so 820 00:48:58,920 --> 00:49:02,080 Speaker 1: they just like and you can always find the military 821 00:49:02,120 --> 00:49:04,279 Speaker 1: is so big, you can always find somebody who's going 822 00:49:04,320 --> 00:49:06,239 Speaker 1: to say somebody's like full of shit, or that they 823 00:49:06,239 --> 00:49:08,960 Speaker 1: were lying about their war record, and the military is 824 00:49:08,960 --> 00:49:12,719 Speaker 1: secretive enough that you can't like point to documents to 825 00:49:12,840 --> 00:49:13,759 Speaker 1: like backup shit. 826 00:49:13,960 --> 00:49:17,040 Speaker 2: So I think they're also going to do that about anything, right, Like, 827 00:49:17,080 --> 00:49:19,000 Speaker 2: I think they're going to be like football's gay now, 828 00:49:19,160 --> 00:49:20,480 Speaker 2: you know, because he was a coach. 829 00:49:20,840 --> 00:49:21,000 Speaker 1: Right. 830 00:49:21,040 --> 00:49:22,880 Speaker 2: I think they're just gonna be like, we hate sports, 831 00:49:23,040 --> 00:49:26,120 Speaker 2: we hate Yeah, they're just going to be willing to 832 00:49:26,520 --> 00:49:28,640 Speaker 2: give up whatever for this cult. 833 00:49:29,040 --> 00:49:33,839 Speaker 1: Yeah. The So, the other mainstream narrative that's kicking up 834 00:49:34,000 --> 00:49:38,640 Speaker 1: about Kamala Harris is not the Gaza stuff really. I 835 00:49:38,719 --> 00:49:41,960 Speaker 1: mean there there's some references to it, but it's not 836 00:49:42,040 --> 00:49:45,520 Speaker 1: the main story. But the thing that is kicking up 837 00:49:45,680 --> 00:49:49,960 Speaker 1: is that she has not been very like, she hasn't 838 00:49:50,080 --> 00:49:55,399 Speaker 1: had any interviews, she hasn't done at press conference, and 839 00:49:56,560 --> 00:49:58,759 Speaker 1: I don't know, it feels like she's going to have 840 00:49:58,800 --> 00:50:00,279 Speaker 1: to start doing something. 841 00:50:01,920 --> 00:50:04,120 Speaker 2: But then on the rally, trail though, right. 842 00:50:04,239 --> 00:50:09,200 Speaker 1: Yeah, they've been just doing appearances and ads that have 843 00:50:09,560 --> 00:50:12,960 Speaker 1: been I also feel like this is just the way 844 00:50:13,120 --> 00:50:16,560 Speaker 1: things are now. Like Trump does interviews with only people 845 00:50:16,800 --> 00:50:20,239 Speaker 1: who are going to glaze him, you know, like they're 846 00:50:20,360 --> 00:50:23,759 Speaker 1: just like he doesn't do like hard interviews except for 847 00:50:25,080 --> 00:50:30,640 Speaker 1: you know occasionally like that the panel. But she's like, 848 00:50:31,560 --> 00:50:35,880 Speaker 1: I feel like there's also you know, people are terrified 849 00:50:35,880 --> 00:50:39,200 Speaker 1: of a second Trump administration who are supporting her and 850 00:50:39,440 --> 00:50:45,319 Speaker 1: probably are just like or don't do interviews, like you know, 851 00:50:45,480 --> 00:50:48,320 Speaker 1: we don't want you to fuck up, so like don't 852 00:50:48,480 --> 00:50:52,360 Speaker 1: so just like staying your lane and like let's keep 853 00:50:52,760 --> 00:50:56,759 Speaker 1: building up the good vibes. And so she I think 854 00:50:56,880 --> 00:50:58,920 Speaker 1: she's like, yeah, we'll probably put together an interview at 855 00:50:58,960 --> 00:51:01,640 Speaker 1: some point, but by the end of the month. But yeah, she. 856 00:51:01,680 --> 00:51:03,319 Speaker 2: Probably wants to have more control over it. 857 00:51:03,800 --> 00:51:07,359 Speaker 1: Yeah, totally. And so like we are in a new era. 858 00:51:07,480 --> 00:51:12,480 Speaker 1: Like there's an AP article about it where they're like, 859 00:51:13,000 --> 00:51:18,440 Speaker 1: you know, the like Biden didn't do many press availabilities Obama. 860 00:51:18,600 --> 00:51:22,920 Speaker 1: Like I remember during Obama's administration, they like the media 861 00:51:23,040 --> 00:51:27,840 Speaker 1: was like it's crazy how little like access we get here. 862 00:51:28,160 --> 00:51:32,360 Speaker 1: And that's because we live in a new era, like 863 00:51:32,440 --> 00:51:38,319 Speaker 1: social media, like they the politicians stopped really needing the 864 00:51:38,360 --> 00:51:40,760 Speaker 1: mainstream media, Like they used to have to like trade 865 00:51:40,880 --> 00:51:44,440 Speaker 1: access for access for favorable coverage, and it was like 866 00:51:44,480 --> 00:51:48,279 Speaker 1: a whole like game. And now they're like nobody gives 867 00:51:48,280 --> 00:51:51,000 Speaker 1: a fuck what you think, Like you're not you're not 868 00:51:51,160 --> 00:51:52,879 Speaker 1: Obama pro. 869 00:51:52,960 --> 00:51:56,160 Speaker 2: Creator albums and musicians out on his own. He doesn't 870 00:51:56,200 --> 00:51:58,640 Speaker 2: need to channel that through a sixty minutes interview. 871 00:51:58,840 --> 00:52:01,000 Speaker 1: Yeah, so they don't have to like do favors of 872 00:52:01,040 --> 00:52:05,400 Speaker 1: granting the interview in exchange for like positive coverage anymore 873 00:52:05,560 --> 00:52:09,600 Speaker 1: because no media, mainstream media figures as powerful as they 874 00:52:09,680 --> 00:52:12,560 Speaker 1: used to be. But all that said, I don't think 875 00:52:12,600 --> 00:52:15,920 Speaker 1: I don't think Kamalak can like coast through November without 876 00:52:16,200 --> 00:52:20,600 Speaker 1: any like media availabilities. So but I think she'll she'll 877 00:52:20,640 --> 00:52:25,239 Speaker 1: be fine. She always seems like she's doing she she 878 00:52:25,360 --> 00:52:28,800 Speaker 1: seems like she's like really stepped up, like since Biden 879 00:52:30,440 --> 00:52:34,920 Speaker 1: fucked that debate so badly, Like she all of her 880 00:52:34,920 --> 00:52:39,280 Speaker 1: appearances have been like she's been really locked in. She's 881 00:52:39,320 --> 00:52:45,000 Speaker 1: been like giving remarkably straight answers, which has in the 882 00:52:45,040 --> 00:52:50,480 Speaker 1: past been a difficulty. I think she's I think been 883 00:52:50,719 --> 00:52:54,480 Speaker 1: really good in like media availabilities. She hasn't had many, 884 00:52:54,600 --> 00:52:56,800 Speaker 1: She hasn't had any since she took over. But I 885 00:52:57,360 --> 00:53:00,680 Speaker 1: think like some switches flipped and she's like ready for 886 00:53:00,719 --> 00:53:04,080 Speaker 1: all this shit. So I'm not that worried about it, 887 00:53:04,120 --> 00:53:06,480 Speaker 1: but we shall see. 888 00:53:06,520 --> 00:53:09,440 Speaker 2: I would love I would love some answers on Gaza. 889 00:53:10,040 --> 00:53:13,279 Speaker 1: Yeah, yeah, all I would say, assuming that's one of 890 00:53:13,280 --> 00:53:18,439 Speaker 1: the reasons that she hasn't given an interview. All right, 891 00:53:18,520 --> 00:53:23,279 Speaker 1: Paula v thank you so much for joining today. Where 892 00:53:23,280 --> 00:53:25,960 Speaker 1: can people find you? Follow you? See you all that 893 00:53:26,000 --> 00:53:26,879 Speaker 1: good stuff. 894 00:53:27,239 --> 00:53:29,640 Speaker 2: At Paula Vigan alland p A L l A v 895 00:53:29,760 --> 00:53:33,000 Speaker 2: I g U n A l A N I co 896 00:53:33,120 --> 00:53:36,400 Speaker 2: produce a show at the Comedy Store called Facial Recognition Comedy. 897 00:53:36,520 --> 00:53:40,080 Speaker 2: Our next show is August twentieth. I won't be there, 898 00:53:40,120 --> 00:53:41,640 Speaker 2: but it's going to be a really great lineup, and 899 00:53:41,680 --> 00:53:43,759 Speaker 2: then we have a show after that in September on 900 00:53:43,800 --> 00:53:49,560 Speaker 2: September twentieth, So please come through and support brown people 901 00:53:49,640 --> 00:53:51,480 Speaker 2: who are not just running for president. 902 00:53:51,840 --> 00:53:54,640 Speaker 1: There you go, all right? You can find me on 903 00:53:54,680 --> 00:53:56,799 Speaker 1: Twitter at Jack Underscore O Brian. That's going to do 904 00:53:56,840 --> 00:54:00,680 Speaker 1: it for us this Monday. We're back tomorrow with a 905 00:54:00,680 --> 00:54:03,560 Speaker 1: whole last episode of the show. Until then, be kind 906 00:54:03,600 --> 00:54:06,480 Speaker 1: to each other, be kind to yourselves, get the vaccine, 907 00:54:06,520 --> 00:54:09,600 Speaker 1: get your flu shots, don't do nothing about white supremacy, 908 00:54:09,719 --> 00:54:17,280 Speaker 1: and we will talk to you all tomorrow. Fight bye.