1 00:00:00,240 --> 00:00:03,640 Speaker 1: Hello the Internet, and welcome to this episode of What 2 00:00:03,680 --> 00:00:04,280 Speaker 1: they trend About? 3 00:00:04,320 --> 00:00:06,600 Speaker 2: They trend about nothing? What they trend They trend about nothing? 4 00:00:06,640 --> 00:00:08,240 Speaker 2: What they trend about they trend about nothing. 5 00:00:09,000 --> 00:00:13,440 Speaker 1: Courtesy of Vanadium Silver and Steaming Chuck and Steaming Chuck 6 00:00:13,440 --> 00:00:14,800 Speaker 1: on the discords. 7 00:00:14,800 --> 00:00:16,799 Speaker 3: A call and response in the discord. I like that 8 00:00:17,840 --> 00:00:19,600 Speaker 3: Silver said what they trended about steaming chuck. 9 00:00:19,640 --> 00:00:20,360 Speaker 4: They trend am on none. 10 00:00:20,480 --> 00:00:23,320 Speaker 2: They try to go h my name is Jack beat Over, 11 00:00:23,360 --> 00:00:24,200 Speaker 2: there is Miles. 12 00:00:24,560 --> 00:00:24,759 Speaker 1: Uh. 13 00:00:24,880 --> 00:00:26,520 Speaker 2: These are some of the. 14 00:00:26,400 --> 00:00:30,200 Speaker 1: Things that are trending on this Tuesday afternoon. 15 00:00:30,480 --> 00:00:34,320 Speaker 2: We will get into the Drake lawsuit. 16 00:00:34,960 --> 00:00:36,160 Speaker 1: The uh. 17 00:00:37,800 --> 00:00:39,960 Speaker 2: No fair, I'm I'm calling the police. 18 00:00:40,400 --> 00:00:44,080 Speaker 3: You know response standard You called the police in the 19 00:00:44,080 --> 00:00:44,880 Speaker 3: middle of a rap beef? 20 00:00:45,880 --> 00:00:46,599 Speaker 2: Hip hop? Hip hop? 21 00:00:46,680 --> 00:00:47,080 Speaker 4: Hip hop? 22 00:00:48,920 --> 00:00:50,360 Speaker 2: Yeah, exactly. So we'll talk about that. 23 00:00:50,520 --> 00:00:53,239 Speaker 1: There's we we have different differing theories on what this 24 00:00:53,280 --> 00:00:56,279 Speaker 1: says about Drake. Uh, because I think it was a 25 00:00:56,360 --> 00:00:59,560 Speaker 1: cool move by him. I think this is gonna win 26 00:00:59,720 --> 00:01:01,160 Speaker 1: that beef and win. 27 00:01:01,120 --> 00:01:03,520 Speaker 4: Them that's happening called the cops. 28 00:01:03,440 --> 00:01:06,119 Speaker 2: Oh my god, just call the cops, babe, like a call? 29 00:01:06,319 --> 00:01:06,440 Speaker 3: Uh. 30 00:01:07,720 --> 00:01:11,080 Speaker 2: What else happening while tariffs happen? So I haven't been. 31 00:01:12,720 --> 00:01:13,360 Speaker 4: It's happened. 32 00:01:13,400 --> 00:01:15,720 Speaker 3: He's like, he's going to be hitting Canada and Mexico 33 00:01:15,800 --> 00:01:18,480 Speaker 3: with twenty five percent tariffs just with the you know, 34 00:01:18,640 --> 00:01:21,679 Speaker 3: largest trading partners. It's where so many fruits and vegetables 35 00:01:21,720 --> 00:01:25,800 Speaker 3: come from, in electronics, whatever everything. What's wild, though, is 36 00:01:25,840 --> 00:01:27,840 Speaker 3: the Guardian, along with the story about reporting it, they 37 00:01:27,840 --> 00:01:31,839 Speaker 3: also pulled Americans and sixty nine percent of Americans are like, yeah, 38 00:01:31,920 --> 00:01:34,160 Speaker 3: the tariffs are definitely going to make things more expensive. 39 00:01:34,400 --> 00:01:39,399 Speaker 3: Sixty percent of Republicans also believed this, So you fucking losers. 40 00:01:39,480 --> 00:01:41,360 Speaker 2: Anyway, this just shows I don't think they vote for 41 00:01:41,440 --> 00:01:42,759 Speaker 2: him because eggs. 42 00:01:43,360 --> 00:01:45,440 Speaker 3: No, it's because it's because some people said that rather 43 00:01:45,480 --> 00:01:48,000 Speaker 3: than saying like I don't like not white people. 44 00:01:48,120 --> 00:01:50,400 Speaker 2: That aren't right what it is. 45 00:01:50,480 --> 00:01:52,440 Speaker 4: So I'm just gonna. 46 00:01:52,120 --> 00:01:55,480 Speaker 3: Go if you ain't assist white person, leave me alone, 47 00:01:55,480 --> 00:01:58,240 Speaker 3: but I will I will claim and let me alone. 48 00:01:58,840 --> 00:01:59,640 Speaker 2: Yeah. 49 00:01:59,680 --> 00:02:03,880 Speaker 3: Cloud Shinbaum, the President of Mexico, has responded just saying quote, 50 00:02:04,040 --> 00:02:06,440 Speaker 3: one tariff would be followed by another in response and 51 00:02:06,480 --> 00:02:09,040 Speaker 3: so on until we put at risk our common businesses. 52 00:02:09,720 --> 00:02:11,720 Speaker 3: And then also it was saying about like if it's 53 00:02:11,720 --> 00:02:14,639 Speaker 3: about fentanyl, that says more about your society and maybe 54 00:02:14,680 --> 00:02:16,640 Speaker 3: if you spent a fraction on what you do on 55 00:02:16,840 --> 00:02:19,919 Speaker 3: like military and defense and put that back into your 56 00:02:20,080 --> 00:02:23,799 Speaker 3: you know country, maybe you could tamp down on some 57 00:02:23,840 --> 00:02:26,840 Speaker 3: of those issues rather than blaming you know, migrants, because 58 00:02:26,919 --> 00:02:29,040 Speaker 3: something like eighty eight percent of the fentanyl that's get 59 00:02:29,080 --> 00:02:31,840 Speaker 3: seized by the border was like from Americans bringing it in. 60 00:02:32,320 --> 00:02:34,200 Speaker 4: Yeah, and it's not coming in on migrants. 61 00:02:34,240 --> 00:02:36,079 Speaker 3: And when it does, it's coming in on like fucking 62 00:02:36,200 --> 00:02:40,240 Speaker 3: trucks and shit, so very convoluted. But again, he's kicking 63 00:02:40,240 --> 00:02:43,560 Speaker 3: off the fucking economic turbulence already. 64 00:02:43,639 --> 00:02:45,640 Speaker 4: So hey, if you got shit that you get from. 65 00:02:45,440 --> 00:02:48,079 Speaker 2: Over there, maybe maybe stock up a little bit love on. 66 00:02:48,160 --> 00:02:51,560 Speaker 1: The president of Mexico has better things to say than 67 00:02:51,840 --> 00:02:56,799 Speaker 1: any politician in our country every the most part. Can 68 00:02:56,800 --> 00:03:00,760 Speaker 1: we go for the party that's in control Mexico for. 69 00:03:02,320 --> 00:03:03,799 Speaker 2: In the US? What we better watch? 70 00:03:03,919 --> 00:03:06,040 Speaker 4: The Democrats might be like, should we just do that? 71 00:03:06,120 --> 00:03:08,200 Speaker 4: Should we just copy them? But a more water down 72 00:03:08,400 --> 00:03:09,680 Speaker 4: I don't know, see feeling. 73 00:03:09,919 --> 00:03:11,840 Speaker 1: I mean, I would take a more water down version 74 00:03:11,880 --> 00:03:16,320 Speaker 1: that actually targeted neoliberalism. 75 00:03:16,000 --> 00:03:16,639 Speaker 2: Not accurately. 76 00:03:17,400 --> 00:03:21,040 Speaker 3: No no, no, no, no no not actually no. 77 00:03:22,080 --> 00:03:24,400 Speaker 1: We had a new head fake in the world of 78 00:03:24,600 --> 00:03:29,480 Speaker 1: disgraced Republicans going over to Cameo with Lauren Bobert, the 79 00:03:29,520 --> 00:03:34,280 Speaker 1: hot new trend Republicans getting their little dopamine flood, their 80 00:03:34,320 --> 00:03:40,720 Speaker 1: little fam validation on cameo. This was it, Alast, this 81 00:03:40,800 --> 00:03:42,040 Speaker 1: was not was not to last. 82 00:03:42,400 --> 00:03:45,920 Speaker 4: This was her kicking off her cameo career. Hey, Cameo, 83 00:03:46,040 --> 00:03:48,880 Speaker 4: it's your girl from Colorado, Lauren Bobert. 84 00:03:48,960 --> 00:03:52,760 Speaker 3: I am so excited to be joining another platform where 85 00:03:52,800 --> 00:03:57,680 Speaker 3: I can connect directly with supporters from all over the world, 86 00:03:58,040 --> 00:03:59,080 Speaker 3: whether you. 87 00:03:59,160 --> 00:04:01,280 Speaker 1: Or someone Okay, she pointed out the camera on that 88 00:04:01,760 --> 00:04:03,160 Speaker 1: first PEP talk if. 89 00:04:03,040 --> 00:04:05,120 Speaker 2: You want to surprise friends. 90 00:04:04,840 --> 00:04:07,000 Speaker 3: Or whatever it goes on, she said, what's up? Is 91 00:04:07,040 --> 00:04:09,760 Speaker 3: your girl from cob What are you? A fucking failed 92 00:04:10,040 --> 00:04:15,920 Speaker 3: radio president? Lauren bulber Boy chir boy. 93 00:04:15,800 --> 00:04:17,840 Speaker 2: President Joe Biden Ganggang. 94 00:04:18,600 --> 00:04:21,279 Speaker 3: The plugins she used in pro tools made it sound 95 00:04:21,320 --> 00:04:24,000 Speaker 3: like she was actually inside of a truck stop bathroom, 96 00:04:24,120 --> 00:04:26,560 Speaker 3: So I'm really impressed with whatever production stuff she's got 97 00:04:26,560 --> 00:04:28,680 Speaker 3: going on there. The sad part is you won't be 98 00:04:28,720 --> 00:04:31,000 Speaker 3: able to get any of these videos because within hours 99 00:04:31,000 --> 00:04:33,560 Speaker 3: of the page going up, it was deleted just as quickly. 100 00:04:33,640 --> 00:04:37,560 Speaker 3: Since Bobert has no concept of ethics, personally or professionally. 101 00:04:37,839 --> 00:04:40,080 Speaker 3: I think she didn't realize that she can't be trading 102 00:04:40,160 --> 00:04:42,159 Speaker 3: off of her name as a congress person to do 103 00:04:42,200 --> 00:04:45,040 Speaker 3: like paid appearances and shit, that's a no no. And 104 00:04:45,080 --> 00:04:47,279 Speaker 3: I think she was just playing copycat with Matt Gets 105 00:04:47,360 --> 00:04:48,000 Speaker 3: and was like. 106 00:04:48,120 --> 00:04:48,960 Speaker 2: Well, he's doing it. 107 00:04:48,960 --> 00:04:53,120 Speaker 3: It's like he's he resigned in disgrace whatever, Yeah, to 108 00:04:53,240 --> 00:04:53,640 Speaker 3: try it. 109 00:04:54,160 --> 00:04:58,479 Speaker 1: Her performance reminds me of the RNC rebuttal lady who 110 00:04:58,720 --> 00:05:02,640 Speaker 1: came after Biden's one bright spot of the past two 111 00:05:02,720 --> 00:05:05,000 Speaker 1: years this like good State of the Union where they 112 00:05:05,040 --> 00:05:09,200 Speaker 1: got him on the good uppers and the rebuttal was 113 00:05:09,279 --> 00:05:12,159 Speaker 1: just kind of weird and like kind of she would 114 00:05:12,240 --> 00:05:14,200 Speaker 1: like emphasize the wrong word and stuff. 115 00:05:14,279 --> 00:05:16,640 Speaker 2: Yeah Katie Britt, who yeah, yeah. 116 00:05:16,760 --> 00:05:18,960 Speaker 1: I feel like somewhere out there there must be like 117 00:05:19,000 --> 00:05:24,680 Speaker 1: an RNC performance coach who has very strange ideas about 118 00:05:24,800 --> 00:05:29,680 Speaker 1: how people should speak on camera, Like Okay, now close 119 00:05:29,720 --> 00:05:32,479 Speaker 1: your eyes for three seconds for no reason. Now point 120 00:05:32,480 --> 00:05:34,320 Speaker 1: at the camera and roll your eyes into the back 121 00:05:34,360 --> 00:05:36,440 Speaker 1: of your head for emphasis. 122 00:05:36,680 --> 00:05:38,240 Speaker 2: I get roll it as how yeah. 123 00:05:38,120 --> 00:05:41,640 Speaker 1: Yeah, yeah, Now get a warm smile and freeze it 124 00:05:42,160 --> 00:05:44,680 Speaker 1: for fifteen seconds so it looks like you're about to 125 00:05:44,680 --> 00:05:46,480 Speaker 1: Pitch Forward with a Knife in your back and an 126 00:05:46,480 --> 00:05:47,520 Speaker 1: old mystery TV. 127 00:05:47,440 --> 00:05:50,680 Speaker 3: Show, because none of them are actually experienced in being 128 00:05:50,720 --> 00:05:54,280 Speaker 3: authentic when speaking publicly. They're all doing some version of 129 00:05:54,320 --> 00:05:57,120 Speaker 3: a newscast or they grew up with and that's their 130 00:05:57,160 --> 00:05:59,960 Speaker 3: way of like talking. So they're like, hey, it's your girl, 131 00:06:00,000 --> 00:06:02,520 Speaker 3: well Warren Bober from Colorado, letting you know. It's like 132 00:06:02,520 --> 00:06:04,760 Speaker 3: you're doing promo for like a pet store that's about 133 00:06:04,800 --> 00:06:06,560 Speaker 3: to open up in your local town or some shit. 134 00:06:06,600 --> 00:06:10,159 Speaker 3: It's just very contrived, and hey, they blessed them, bless 135 00:06:10,200 --> 00:06:12,800 Speaker 3: them because I mean she she threw a little you know, 136 00:06:12,960 --> 00:06:16,120 Speaker 3: flavor in there by saying it's your girl from college girl. 137 00:06:16,160 --> 00:06:16,919 Speaker 4: You could get over that. 138 00:06:17,240 --> 00:06:18,080 Speaker 2: Oh boy. 139 00:06:18,400 --> 00:06:21,120 Speaker 1: All right, let's take a quick break and we'll be 140 00:06:21,360 --> 00:06:32,960 Speaker 1: right back with more news stories on this our news podcast. 141 00:06:36,520 --> 00:06:37,680 Speaker 2: And we're back. 142 00:06:38,000 --> 00:06:41,000 Speaker 1: We're back, and we just wanted to check in with 143 00:06:41,240 --> 00:06:45,720 Speaker 1: the new candidate for Attorney General, Pam Bondie. 144 00:06:45,960 --> 00:06:47,880 Speaker 2: Yondy oh man. 145 00:06:47,960 --> 00:06:50,280 Speaker 3: We thought maybe people were like, oh, well, at least 146 00:06:50,279 --> 00:06:52,640 Speaker 3: it's not Matt Gates, And you're like, here's the thing 147 00:06:52,760 --> 00:06:54,560 Speaker 3: about the person they just brought in. 148 00:06:54,960 --> 00:06:57,840 Speaker 4: It's Pam Bondy. So here's the thing. 149 00:06:58,560 --> 00:07:01,840 Speaker 3: She is scarier than Gates, I would say, because not 150 00:07:01,880 --> 00:07:04,680 Speaker 3: only is she just as craven and partisan as MATD. 151 00:07:04,720 --> 00:07:07,800 Speaker 3: Gates is, she actually has experience being an attorney general, 152 00:07:08,440 --> 00:07:10,720 Speaker 3: but for the state of Florida. And she's made it 153 00:07:10,760 --> 00:07:12,960 Speaker 3: clear for like over a year now. She's been auditioning 154 00:07:12,960 --> 00:07:15,040 Speaker 3: by like constantly being on TV's like when the Republicans 155 00:07:15,040 --> 00:07:16,640 Speaker 3: are back in the White House, I will make sure 156 00:07:16,680 --> 00:07:19,400 Speaker 3: I am ready to go after Trump's enemies. And guess 157 00:07:19,440 --> 00:07:22,960 Speaker 3: what you are now squarely the new nominee for attorney 158 00:07:23,040 --> 00:07:26,280 Speaker 3: general and pretty much anything bad you can do as 159 00:07:26,280 --> 00:07:28,840 Speaker 3: a politician, or anything bad you can stand for as 160 00:07:28,840 --> 00:07:32,840 Speaker 3: a politician, she has done or embraces ideologically. But there's 161 00:07:32,880 --> 00:07:35,720 Speaker 3: just like this one part if you're an interesting texture, 162 00:07:35,760 --> 00:07:37,720 Speaker 3: because not only did she accept like a twenty five 163 00:07:37,800 --> 00:07:41,360 Speaker 3: thousand dollars campaign donation, some would call it a bribe 164 00:07:41,720 --> 00:07:44,840 Speaker 3: that prevented the state of Florida from joining a class 165 00:07:44,880 --> 00:07:48,120 Speaker 3: action suit, a class action lawsuit against Trump University, which 166 00:07:48,120 --> 00:07:50,680 Speaker 3: is very shady. Yeah yeah, yea yeah yeah yeah yeah, 167 00:07:50,720 --> 00:07:52,520 Speaker 3: like a little bit of grease payment. But then there's 168 00:07:52,520 --> 00:07:55,480 Speaker 3: this story that I just saw about how she stole 169 00:07:55,520 --> 00:07:59,960 Speaker 3: a Saint Bernard during Hurricane Katrina. So wow, when apparent 170 00:08:00,240 --> 00:08:03,400 Speaker 3: this Saint Bernard was like at like a panelas County, 171 00:08:03,680 --> 00:08:07,560 Speaker 3: like dog, like a humane society. She adopted the dog 172 00:08:08,080 --> 00:08:11,440 Speaker 3: like right away it was I guess was Master Tank 173 00:08:11,520 --> 00:08:14,120 Speaker 3: and then she renamed it to Noah. And then the 174 00:08:14,160 --> 00:08:17,520 Speaker 3: actual owners are like this older couple from Louisiana. They 175 00:08:18,040 --> 00:08:21,800 Speaker 3: tracked the dog down to her home and they found 176 00:08:21,880 --> 00:08:23,600 Speaker 3: that the dog was with her and they're like, hey, 177 00:08:23,880 --> 00:08:24,200 Speaker 3: can we. 178 00:08:24,120 --> 00:08:25,960 Speaker 4: Get our fucking dog back? And she was like, nah, 179 00:08:26,440 --> 00:08:28,040 Speaker 4: it's my dog. I don't even know how the fuck 180 00:08:28,120 --> 00:08:28,440 Speaker 4: you are. 181 00:08:28,960 --> 00:08:32,600 Speaker 3: So then there was like a lawsuit ensued. Pam Bondi's 182 00:08:32,600 --> 00:08:34,840 Speaker 3: defense was, quote, I took a dog who was a 183 00:08:34,920 --> 00:08:38,760 Speaker 3: walking skeleton. That's what was wrong with him before the hurricane. 184 00:08:38,800 --> 00:08:40,640 Speaker 3: If I thought I was sending him to a stable 185 00:08:40,720 --> 00:08:43,199 Speaker 3: environment where he would be cared for, as hard as 186 00:08:43,200 --> 00:08:45,240 Speaker 3: it would be, I'd put him in my car and 187 00:08:45,360 --> 00:08:47,040 Speaker 3: drive him back myself. 188 00:08:47,200 --> 00:08:50,160 Speaker 4: I made a promise to him that I would protect him. 189 00:08:50,640 --> 00:08:51,120 Speaker 2: Uh huh. 190 00:08:51,320 --> 00:08:53,360 Speaker 3: They eventually settled out of court and the older couple 191 00:08:53,400 --> 00:08:55,600 Speaker 3: got their dog back, and then Bondi just replaced that 192 00:08:55,640 --> 00:08:57,400 Speaker 3: Saint Bernard with another one. 193 00:08:57,200 --> 00:08:59,880 Speaker 2: So you know, she's like, I'm sure she did. 194 00:09:00,080 --> 00:09:02,680 Speaker 1: It's the same Bernard, because she really cared about it 195 00:09:02,720 --> 00:09:05,360 Speaker 1: and it was in no way just a pissing contest, right. 196 00:09:05,400 --> 00:09:06,280 Speaker 4: Yeah, no, no, yeah. 197 00:09:06,320 --> 00:09:08,360 Speaker 3: When you asked the couple, they have said the agreement 198 00:09:08,559 --> 00:09:10,800 Speaker 3: initially was that she would visit the dog because she 199 00:09:10,840 --> 00:09:12,959 Speaker 3: said she was so attached, and pay the medical bills. 200 00:09:13,000 --> 00:09:15,040 Speaker 3: She hasn't done either, but the couple doesn't care because 201 00:09:15,040 --> 00:09:17,640 Speaker 3: they're like, we just want our fucking dog back. Yeah yeah, 202 00:09:17,679 --> 00:09:19,520 Speaker 3: so yeah, sorry, Pam. 203 00:09:19,360 --> 00:09:22,280 Speaker 2: That's so wild to be like, I am just helping. 204 00:09:22,600 --> 00:09:26,560 Speaker 2: There's a national tragedy in Katrina. I'm gonna help. 205 00:09:26,679 --> 00:09:29,920 Speaker 1: Like a lot of dogs were displaced. I'm gonna be 206 00:09:30,120 --> 00:09:36,120 Speaker 1: the bridge for this dog to a new presidential administration, 207 00:09:36,679 --> 00:09:40,600 Speaker 1: the bridge dog owner. And then they're like, okay, we 208 00:09:40,679 --> 00:09:44,200 Speaker 1: found the owners. Actually, like fuck you, you're writing it back. 209 00:09:44,320 --> 00:09:45,439 Speaker 2: It's my fucking dog. 210 00:09:45,559 --> 00:09:46,160 Speaker 4: Fuck off. 211 00:09:46,200 --> 00:09:47,280 Speaker 2: This dog was mine. 212 00:09:47,400 --> 00:09:48,000 Speaker 4: It's mine. 213 00:09:48,120 --> 00:09:49,200 Speaker 2: Yeah yeah. 214 00:09:49,240 --> 00:09:53,520 Speaker 4: So it was a scale, dude, it was a fucking scale. 215 00:09:53,520 --> 00:09:56,480 Speaker 4: When I picked it up, I thought scale. 216 00:09:56,040 --> 00:09:59,600 Speaker 1: Immediately throws the dog she supposedly cares about under the corner. 217 00:10:00,000 --> 00:10:02,320 Speaker 3: This dog was a fucking skull when I found him, 218 00:10:03,360 --> 00:10:08,520 Speaker 3: Like shit, I mean yeah, you kind of did. 219 00:10:08,520 --> 00:10:10,040 Speaker 2: But anyway, it's fine, it's fine, it's fine. 220 00:10:10,320 --> 00:10:13,720 Speaker 3: So yeah, prepared. Well, we're again like with most appointments 221 00:10:13,720 --> 00:10:15,720 Speaker 3: we've been hearing about. We got a hedge fun guy 222 00:10:15,800 --> 00:10:19,080 Speaker 3: becoming the Secretary of the Treasury. It's all systems go 223 00:10:19,200 --> 00:10:22,439 Speaker 3: on the buffoonery. So we'll we'll talk more as these 224 00:10:22,480 --> 00:10:25,360 Speaker 3: people become, you know, come to us in higher definition. 225 00:10:26,000 --> 00:10:28,360 Speaker 3: But for the moment, just know that the Trump administration 226 00:10:28,520 --> 00:10:29,800 Speaker 3: is transitioning as. 227 00:10:29,640 --> 00:10:32,560 Speaker 4: We expected with absolutely you know, they's just. 228 00:10:32,600 --> 00:10:36,839 Speaker 1: Gonna be cool, very cool and normal people. Let's talk 229 00:10:36,880 --> 00:10:42,040 Speaker 1: about Macy's real quick, because there's a chance that the 230 00:10:42,160 --> 00:10:45,880 Speaker 1: Macy's Thanksgiving Day parade is that when they do it 231 00:10:46,480 --> 00:10:49,360 Speaker 1: Thanksgiving Day parades this year tomorrow, we'll just have like 232 00:10:49,559 --> 00:10:52,240 Speaker 1: the balloons will just be like normal size, snoopy balloon, 233 00:10:52,720 --> 00:10:54,880 Speaker 1: like a balloon like a kid is car. 234 00:10:55,600 --> 00:10:58,640 Speaker 3: It's a mylar balloon from a fucking grocery store, snoopy 235 00:10:58,679 --> 00:11:02,080 Speaker 3: mylar balloon, and they're like zoom zoom in assholes. What 236 00:11:02,600 --> 00:11:05,120 Speaker 3: it's all wobbly. It's so small. I can't keep it 237 00:11:05,160 --> 00:11:07,040 Speaker 3: in focus. The wind is too intense. 238 00:11:07,320 --> 00:11:10,360 Speaker 1: So I'm assuming this story is about some sort of 239 00:11:10,400 --> 00:11:14,200 Speaker 1: massive massive criminal conspiracy, but the way it's being currently 240 00:11:14,280 --> 00:11:20,360 Speaker 1: reported suggests that like one person started using their job 241 00:11:20,440 --> 00:11:25,000 Speaker 1: as like Macy's small package deliveries account manager and just 242 00:11:25,040 --> 00:11:28,079 Speaker 1: like went fucking wild to the tune of one hundred 243 00:11:28,120 --> 00:11:32,760 Speaker 1: and thirty two million dollars because they Macy's was forced 244 00:11:32,800 --> 00:11:36,679 Speaker 1: to delay reporting its third quarter earnings, like the whole 245 00:11:36,720 --> 00:11:40,600 Speaker 1: company had to stop their earnings report after an employee 246 00:11:40,640 --> 00:11:43,640 Speaker 1: hit up to one hundred and fifty four million dollars 247 00:11:43,679 --> 00:11:47,359 Speaker 1: in expenses related to delivering small packages. 248 00:11:48,120 --> 00:11:49,760 Speaker 2: According to CBS News. 249 00:11:49,840 --> 00:11:53,280 Speaker 3: This is the thing I don't understand, because they did say, 250 00:11:53,960 --> 00:11:57,280 Speaker 3: like I don't know what exactly they were concealing with 251 00:11:57,440 --> 00:12:01,040 Speaker 3: the like fake expenses because the Macy's was saying like 252 00:12:01,040 --> 00:12:02,840 Speaker 3: this didn't affect like vendors. 253 00:12:02,440 --> 00:12:05,440 Speaker 4: Or customers or our companies cash. I'm like, are we 254 00:12:05,559 --> 00:12:06,360 Speaker 4: are you sure? 255 00:12:06,720 --> 00:12:09,360 Speaker 2: Are you sure about that? What the fuck is going on? 256 00:12:09,880 --> 00:12:11,880 Speaker 3: But they said, because you also know, like they're not 257 00:12:11,920 --> 00:12:14,719 Speaker 3: pursuing at the moment, they're not pursuing criminal charges. It's 258 00:12:14,840 --> 00:12:18,240 Speaker 3: very like unclear, and I'm it, I'm more intrigued the 259 00:12:18,280 --> 00:12:18,800 Speaker 3: more I'm. 260 00:12:18,679 --> 00:12:21,000 Speaker 2: Like, what the fuck? Why is it? Oneted person? Who 261 00:12:21,080 --> 00:12:22,200 Speaker 2: is this person. 262 00:12:23,440 --> 00:12:27,720 Speaker 1: Saying it was one employee overseeing small package delivery expenses, 263 00:12:28,640 --> 00:12:31,560 Speaker 1: and it like they racked up one hundred and thirty 264 00:12:31,600 --> 00:12:33,840 Speaker 1: two to one hundred and fifty four million dollars worth 265 00:12:33,840 --> 00:12:38,559 Speaker 1: of delivery expenses. Like the fact that it's specifically delivery expenses, 266 00:12:38,559 --> 00:12:42,240 Speaker 1: it's just like I'm picturing like the expense account equivalent 267 00:12:42,360 --> 00:12:44,440 Speaker 1: of someone who takes like a little lick of icing 268 00:12:44,480 --> 00:12:46,559 Speaker 1: on the side of a cake and then like had 269 00:12:46,600 --> 00:12:48,520 Speaker 1: They're like, oh, I better even that out on the 270 00:12:48,559 --> 00:12:51,120 Speaker 1: other side, and then they like keep doing it until 271 00:12:51,200 --> 00:12:55,040 Speaker 1: they've stolen one hundred and thirty two million dollars. They're 272 00:12:55,120 --> 00:12:59,200 Speaker 1: just like, oh fuck, I better cover that. Well, they 273 00:12:59,280 --> 00:13:01,800 Speaker 1: I had a big lunch yesterday, so they're gonna expect 274 00:13:01,840 --> 00:13:04,080 Speaker 1: me to have a big lunch today and then. 275 00:13:04,800 --> 00:13:07,640 Speaker 2: Better take a humor all icing. 276 00:13:08,040 --> 00:13:08,280 Speaker 4: Yeah. 277 00:13:08,360 --> 00:13:12,719 Speaker 3: Again, if someone understands how any of this works, like 278 00:13:12,720 --> 00:13:15,400 Speaker 3: like mechanically, I really want to know, like what do 279 00:13:15,440 --> 00:13:17,600 Speaker 3: you get out of hiding these expensive and and how 280 00:13:17,640 --> 00:13:21,560 Speaker 3: did they like I'm assuming they enriched themselves potentially, but 281 00:13:21,640 --> 00:13:22,040 Speaker 3: if they. 282 00:13:22,040 --> 00:13:25,240 Speaker 1: Did it like this is probably like they had somebody 283 00:13:25,280 --> 00:13:28,880 Speaker 1: who was fairly high up in the company who was 284 00:13:29,000 --> 00:13:33,480 Speaker 1: actually not really a person, but like was part like 285 00:13:33,720 --> 00:13:36,240 Speaker 1: the front of a scam that was just like working 286 00:13:36,280 --> 00:13:42,400 Speaker 1: remotely and they just didn't have good kind of information 287 00:13:42,520 --> 00:13:45,720 Speaker 1: security in place to deal with it. And so now 288 00:13:45,720 --> 00:13:47,720 Speaker 1: they're like, fuck, fuck, fuck, how do we make this 289 00:13:47,880 --> 00:13:50,040 Speaker 1: not look wildly irresponsible? 290 00:13:50,200 --> 00:13:51,160 Speaker 2: You know? Yeah? 291 00:13:51,240 --> 00:13:52,760 Speaker 3: Yeah, because this is going all the way back to 292 00:13:52,800 --> 00:13:55,040 Speaker 3: twenty twenty one, and I mean I get it. Macy's 293 00:13:55,080 --> 00:13:57,920 Speaker 3: as a company is not doing well because let's be real, 294 00:13:57,960 --> 00:13:59,960 Speaker 3: this is it ain't ninety six, Like we're not going 295 00:14:00,040 --> 00:14:02,600 Speaker 3: into the department store to get our pajamas this year, 296 00:14:02,800 --> 00:14:05,720 Speaker 3: like just people don't shop that way anymore. Yeah, so 297 00:14:05,800 --> 00:14:07,720 Speaker 3: I don't It does feel a little weird, like just 298 00:14:07,760 --> 00:14:08,640 Speaker 3: fucking hide shit. 299 00:14:08,800 --> 00:14:11,599 Speaker 2: Man, I don't know the guy. Okay, I don't know 300 00:14:11,640 --> 00:14:14,280 Speaker 2: why everyone's asking so many questions and wait with them. 301 00:14:14,320 --> 00:14:16,439 Speaker 3: But how is it bad that we didn't even realize 302 00:14:16,440 --> 00:14:17,600 Speaker 3: that one person could do this? 303 00:14:18,720 --> 00:14:22,800 Speaker 2: You couldn't do that? What the fuck isn't fair? We gotta. 304 00:14:24,320 --> 00:14:27,560 Speaker 1: Shout out to Grafton scamming. They are America's number one 305 00:14:27,600 --> 00:14:31,680 Speaker 1: pastime supplanting football and fucking apple pies. 306 00:14:31,760 --> 00:14:34,400 Speaker 2: I guess the church, Yeah, yeah, church. 307 00:14:34,760 --> 00:14:37,200 Speaker 1: Then it was football, then it was fucking apple Pies 308 00:14:37,600 --> 00:14:41,080 Speaker 1: and the Great Men American Pie. 309 00:14:41,280 --> 00:14:43,840 Speaker 2: Remember that movie? Cool reference, Jack. 310 00:14:43,800 --> 00:14:45,720 Speaker 4: I'm about to watch that for Thanksgiving with the family. 311 00:14:45,840 --> 00:14:46,880 Speaker 2: Yeah, all right. 312 00:14:47,360 --> 00:14:50,080 Speaker 1: Those are some of the things that are trending on 313 00:14:50,240 --> 00:14:54,640 Speaker 1: this Tuesday, November twenty sixth. We are back tomorrow with 314 00:14:54,720 --> 00:14:57,200 Speaker 1: a whole lest episode of the show. Until then, be 315 00:14:57,280 --> 00:15:00,720 Speaker 1: kind to each other, be kind to yourselves again, the vaccine, 316 00:15:01,040 --> 00:15:04,040 Speaker 1: get your flu shot, don't do nothing about white supremacy, 317 00:15:04,120 --> 00:15:05,560 Speaker 1: and we will talk to you all tomorrow. 318 00:15:05,720 --> 00:15:11,200 Speaker 4: Bye bye,