1 00:00:00,240 --> 00:00:03,840 Speaker 1: Hello the Internet, and welcome to this episode of Taco 2 00:00:03,920 --> 00:00:08,719 Speaker 1: Bell Trendolato I believe is how it's pronounced in Italy. 3 00:00:10,520 --> 00:00:13,360 Speaker 2: Yeah, I'm I'm at this point. I'm at Italy is 4 00:00:13,360 --> 00:00:16,400 Speaker 2: wearing off. I don't, I've lost power of my authentic accent. 5 00:00:16,440 --> 00:00:18,320 Speaker 2: But I think it's helato. 6 00:00:18,280 --> 00:00:23,880 Speaker 1: Helato and all right, so I mean we might as 7 00:00:23,920 --> 00:00:27,720 Speaker 1: well kick off with this story. Anytime anything happens with 8 00:00:29,880 --> 00:00:31,720 Speaker 1: I get notified. 9 00:00:31,360 --> 00:00:35,479 Speaker 2: By ZE and sometimes we get shout out to the 10 00:00:35,479 --> 00:00:38,159 Speaker 2: person who like tags both Jack and I on an 11 00:00:38,200 --> 00:00:41,040 Speaker 2: Instagram DM for only Taco Bell things. 12 00:00:41,040 --> 00:00:44,360 Speaker 1: I've gone through the history so consistently, You've got a 13 00:00:44,360 --> 00:00:47,559 Speaker 1: little group going so immediate anytime. And it's not just 14 00:00:47,560 --> 00:00:50,040 Speaker 1: like Taco Bell news. It's also a meme that a 15 00:00:50,080 --> 00:00:53,199 Speaker 1: ball's Taco bell is going is going off. I know 16 00:00:53,280 --> 00:00:56,160 Speaker 1: about that ship before you guys do f y Yeah, 17 00:00:56,360 --> 00:01:01,600 Speaker 1: because of Zek, because of Ai. But anyways, full disclosure. 18 00:01:01,680 --> 00:01:05,240 Speaker 1: You did travel to Italy like your stated purpose was 19 00:01:05,240 --> 00:01:09,920 Speaker 1: trying to find a Baja Blast flavored gelato. Yes, you 20 00:01:10,000 --> 00:01:12,840 Speaker 1: thought it must exist. It's just in the wild over there. 21 00:01:13,160 --> 00:01:19,400 Speaker 1: I do, and I was wrong, and behold both low 22 00:01:19,520 --> 00:01:23,280 Speaker 1: and behold. Yeah it came across the transbec here in 23 00:01:23,280 --> 00:01:23,720 Speaker 1: the news. 24 00:01:24,200 --> 00:01:30,360 Speaker 2: Yeah, exactly, Baja Blast in gelato form coming to Taco Bell. 25 00:01:30,880 --> 00:01:35,080 Speaker 2: It's I couldn't believe what I was seeing, but hey, 26 00:01:35,200 --> 00:01:38,000 Speaker 2: it's here apparently right now. You can only get in Irvine. 27 00:01:38,000 --> 00:01:40,319 Speaker 2: So if you're in Orange County, hit up. There's apparently 28 00:01:40,480 --> 00:01:42,120 Speaker 2: like the one Taco Bell in the country is an 29 00:01:42,160 --> 00:01:44,080 Speaker 2: Irvine that has it, and they're gonna have it for 30 00:01:44,120 --> 00:01:46,240 Speaker 2: like two weeks. But then they say that is just 31 00:01:46,280 --> 00:01:50,840 Speaker 2: before they roll it out across the Yeah, I don't 32 00:01:51,360 --> 00:01:54,080 Speaker 2: This is like the It's everything I needed it to 33 00:01:54,120 --> 00:01:56,720 Speaker 2: be to become the most insufferable human on the planet. 34 00:01:58,000 --> 00:02:01,760 Speaker 1: It's got the old country, it's got Taco Bell. 35 00:02:02,000 --> 00:02:05,400 Speaker 2: Yeah, it's got Baja blatht ha's got Baha blaf. You 36 00:02:05,400 --> 00:02:09,880 Speaker 2: can do your with your bah with your just you know, 37 00:02:10,000 --> 00:02:14,560 Speaker 2: cue the music, please, Daniel. When I'm having a gelato 38 00:02:14,720 --> 00:02:19,560 Speaker 2: just looking at the sunset, I can only yeah, anyway. 39 00:02:19,520 --> 00:02:22,480 Speaker 1: What do we think that? Uh? I just got real 40 00:02:22,560 --> 00:02:28,840 Speaker 1: high there, like Jiminy glick. What do we think the content? 41 00:02:29,320 --> 00:02:32,960 Speaker 1: What do we think the gelado's content is going to be? 42 00:02:33,440 --> 00:02:36,200 Speaker 3: I don't know, because it's right. 43 00:02:36,680 --> 00:02:40,440 Speaker 1: Is Baja Blast that caffeinated. I believe, so bah blah 44 00:02:40,480 --> 00:02:44,360 Speaker 1: blast I mean, it's just the size of the bajas 45 00:02:44,400 --> 00:02:46,600 Speaker 1: that I blast or is a large. 46 00:02:46,760 --> 00:02:51,280 Speaker 2: Four and a half millies per ounce, so fifteen a 47 00:02:51,320 --> 00:02:53,120 Speaker 2: twelve ounce has fifty four millies. 48 00:02:54,240 --> 00:02:57,120 Speaker 1: So a normal mountain dew has seventy two per twenty ounce. 49 00:02:57,360 --> 00:03:01,919 Speaker 1: And this bad boy's clocking in in eighties. So it's 50 00:03:01,960 --> 00:03:05,880 Speaker 1: a little bit more. It's more sugar, it's more caloric, 51 00:03:06,160 --> 00:03:10,919 Speaker 1: it's more caffeinated. They didn't name it lightly miles, They didn't. 52 00:03:10,960 --> 00:03:12,360 Speaker 1: I know it's. 53 00:03:12,440 --> 00:03:15,720 Speaker 2: Wild that I don't. I mean, I'm just caffeine insensitive, 54 00:03:15,760 --> 00:03:18,840 Speaker 2: so I don't know why. I'm like, I barely perceived that. 55 00:03:19,160 --> 00:03:22,720 Speaker 1: Oh yeah, damn no, it's they They said, we want 56 00:03:22,720 --> 00:03:24,919 Speaker 1: to give you a rush on this one. We want 57 00:03:24,960 --> 00:03:29,240 Speaker 1: you to feel feel the effervescence in your blood. We 58 00:03:29,280 --> 00:03:34,480 Speaker 1: want you to feel the aquamarine entering your bloodstream. 59 00:03:34,800 --> 00:03:37,040 Speaker 2: You know, that effervescence in your blood that's actually your 60 00:03:37,120 --> 00:03:38,120 Speaker 2: arteries constricting. 61 00:03:39,160 --> 00:03:40,800 Speaker 1: But I love the way that. 62 00:03:41,240 --> 00:03:45,040 Speaker 2: Yeah, just feel the black well, good for good for them? 63 00:03:45,040 --> 00:03:45,680 Speaker 3: One more. 64 00:03:45,880 --> 00:03:50,520 Speaker 1: I feel myself becoming uh Norm McDonald's impression of David 65 00:03:50,600 --> 00:03:56,119 Speaker 1: Letterman as I age. That's to my personality to becoming. 66 00:03:55,960 --> 00:04:01,000 Speaker 2: You're gonna start filing a just take a marker to 67 00:04:01,040 --> 00:04:03,240 Speaker 2: make it like a fake gap in your front teeth, 68 00:04:03,360 --> 00:04:05,760 Speaker 2: and like, just are you losing? He's like, yeah, I 69 00:04:05,760 --> 00:04:07,960 Speaker 2: filed my teeth down to have that letterman gap. 70 00:04:08,360 --> 00:04:14,040 Speaker 1: Yeah, uh yeah, uh. Let's talk about cars keeping tabs 71 00:04:14,320 --> 00:04:18,200 Speaker 1: on us. This is a headline that went went off. 72 00:04:18,880 --> 00:04:21,839 Speaker 1: You ever you ever get back to your car after 73 00:04:21,920 --> 00:04:25,440 Speaker 1: doing a weird little fuck sesh and you feel like 74 00:04:25,480 --> 00:04:29,080 Speaker 1: your car is judging you. It's not just your imagination. 75 00:04:30,160 --> 00:04:33,080 Speaker 1: It's not just the fact that they give cars faces. 76 00:04:33,720 --> 00:04:36,800 Speaker 1: You know, you know how cars have faces in the 77 00:04:36,839 --> 00:04:40,080 Speaker 1: front the grill that has the two eyes for the 78 00:04:40,160 --> 00:04:41,920 Speaker 1: lights and then like a little mouth. 79 00:04:42,040 --> 00:04:45,240 Speaker 3: Sometimes are you wait, are you sundowning? 80 00:04:45,279 --> 00:04:48,279 Speaker 1: What's happening? You don't feel like cars have faces? Am I? 81 00:04:48,880 --> 00:04:51,000 Speaker 1: Oh sure? I mean like in the sense that the 82 00:04:51,240 --> 00:04:54,719 Speaker 1: eyes of the front of the lights or the right 83 00:04:55,000 --> 00:05:02,520 Speaker 1: and they do have Yeah, sometimes people give them a 84 00:05:02,520 --> 00:05:05,400 Speaker 1: little eyelashes, yeah yeah, yeah, and must as they do 85 00:05:05,520 --> 00:05:09,360 Speaker 1: seem like they're judging me for being a nasty little pervert. 86 00:05:09,400 --> 00:05:13,200 Speaker 1: All yeah, am I alone? Everybody else feels that, right? No, 87 00:05:13,560 --> 00:05:16,560 Speaker 1: I didn't know how to make sense of this headline, 88 00:05:17,160 --> 00:05:21,520 Speaker 1: and I still don't quite understand it, but it's The 89 00:05:21,560 --> 00:05:25,880 Speaker 1: headline is basically, cars are keeping tabs on your sex life. Yeah, 90 00:05:25,960 --> 00:05:30,000 Speaker 1: Kia and Nissan were both named and shamed. Kia explicitly 91 00:05:30,080 --> 00:05:34,600 Speaker 1: states it collects information about your race or ethnicity, religious 92 00:05:34,680 --> 00:05:40,479 Speaker 1: or philosophical beliefs, sexual orientation, sex life, and political opinions, 93 00:05:40,520 --> 00:05:43,440 Speaker 1: while Nissan's fine print reveals it's keeping tabs on your 94 00:05:43,560 --> 00:05:49,520 Speaker 1: sexual activity now and then. They also are willing to 95 00:05:49,600 --> 00:05:54,520 Speaker 1: sell that information. Eighty in the data mining business, eighty. 96 00:05:54,240 --> 00:05:56,960 Speaker 3: Four percent of the companies are selling them. 97 00:05:57,160 --> 00:06:00,760 Speaker 1: So then also they mean me. 98 00:06:01,040 --> 00:06:04,600 Speaker 2: Six percent of them are saying we'll help the feds 99 00:06:04,640 --> 00:06:08,240 Speaker 2: if they ask about it, just so you know we can. 100 00:06:08,360 --> 00:06:10,360 Speaker 2: We can hand it right over to the FEDS if 101 00:06:10,360 --> 00:06:12,599 Speaker 2: they come knocking and wondering what you've been doing in 102 00:06:12,640 --> 00:06:15,640 Speaker 2: your little car, trying to subvert democracy or something. 103 00:06:16,000 --> 00:06:20,800 Speaker 1: So here's my question. What feature of my car am 104 00:06:20,880 --> 00:06:23,440 Speaker 1: I not taking advantage of that? It knows your fat 105 00:06:23,480 --> 00:06:26,720 Speaker 1: would allow it to have information about my sex life. 106 00:06:27,080 --> 00:06:29,479 Speaker 3: It knows based on the way you sit down on 107 00:06:29,520 --> 00:06:30,240 Speaker 3: your seat. 108 00:06:30,279 --> 00:06:32,560 Speaker 1: Is what it is. 109 00:06:32,560 --> 00:06:35,600 Speaker 2: It's just like, man, wow, you are if you are 110 00:06:35,720 --> 00:06:36,880 Speaker 2: favoring one side. 111 00:06:37,000 --> 00:06:39,080 Speaker 1: What happened legs seem tired. 112 00:06:39,400 --> 00:06:39,880 Speaker 3: I think no. 113 00:06:40,080 --> 00:06:44,120 Speaker 2: Apparently the way they essentially that it's happening is that 114 00:06:44,360 --> 00:06:47,920 Speaker 2: you know it because we're connecting it with like our 115 00:06:48,000 --> 00:06:49,200 Speaker 2: apps and shit like that. 116 00:06:49,800 --> 00:06:51,080 Speaker 3: It's all just all of. 117 00:06:50,960 --> 00:06:53,760 Speaker 2: This information is being fed directly into it, so like 118 00:06:54,240 --> 00:06:57,360 Speaker 2: you know, you're connect you have connected services in the app. 119 00:06:57,360 --> 00:06:59,599 Speaker 2: In the car, you have an app that is like 120 00:06:59,640 --> 00:07:02,440 Speaker 2: the car app that you've probably downloaded, which then is 121 00:07:02,480 --> 00:07:06,400 Speaker 2: like essentially the gateway to your phone info. It's like 122 00:07:06,440 --> 00:07:08,880 Speaker 2: that's like the sort of back door to it, and 123 00:07:08,920 --> 00:07:11,480 Speaker 2: then it can get even more information from like other 124 00:07:11,600 --> 00:07:13,680 Speaker 2: apps that you can use using like car play and 125 00:07:13,680 --> 00:07:15,679 Speaker 2: shit like that that go hand in hand with again, 126 00:07:15,760 --> 00:07:18,840 Speaker 2: like your movements. It'll be like, Wow, this motherfucker drives 127 00:07:18,960 --> 00:07:21,840 Speaker 2: real quick when he comes back from that nondescript motel, 128 00:07:22,360 --> 00:07:24,680 Speaker 2: like on the edge of town type of thing. So 129 00:07:25,120 --> 00:07:26,640 Speaker 2: I think what they're saying is like they're probably just 130 00:07:26,680 --> 00:07:28,880 Speaker 2: trying to cover all their bases because they're also saying 131 00:07:28,880 --> 00:07:29,560 Speaker 2: they're gonna. 132 00:07:29,360 --> 00:07:32,400 Speaker 3: Infer things based on this data and then sell that too. 133 00:07:32,760 --> 00:07:35,640 Speaker 1: You need a trench coat and a pair of sunglasses 134 00:07:35,680 --> 00:07:39,600 Speaker 1: and a Derby cap for your trips to the motel. 135 00:07:40,000 --> 00:07:41,480 Speaker 1: Is that what they're going to figure it out? 136 00:07:41,440 --> 00:07:42,640 Speaker 2: And if you like, if you have like you know, 137 00:07:42,680 --> 00:07:44,960 Speaker 2: if you're like part of like a like your doctor's 138 00:07:45,000 --> 00:07:47,920 Speaker 2: office is connected through an app and shit like that, yeah, 139 00:07:47,920 --> 00:07:50,800 Speaker 2: it means it can potentially have access to that shit 140 00:07:51,240 --> 00:07:54,480 Speaker 2: and package it all up and then you know, say 141 00:07:54,520 --> 00:07:57,360 Speaker 2: this guy is dumb and horny and have high blood 142 00:07:57,360 --> 00:07:59,400 Speaker 2: pressure and. 143 00:07:59,520 --> 00:08:02,120 Speaker 1: There you uh, it's fine. So this is a study 144 00:08:02,120 --> 00:08:06,000 Speaker 1: by Mozilla. So Firefox always a real one, you know, 145 00:08:06,200 --> 00:08:09,520 Speaker 1: they're like from the start they were like, we're about privacy, 146 00:08:10,040 --> 00:08:11,640 Speaker 1: and then they stopped being able to make like a 147 00:08:11,680 --> 00:08:14,440 Speaker 1: good browser for a while there. I think, still, i 148 00:08:14,440 --> 00:08:16,160 Speaker 1: haven't used Firefox in a long time, but. 149 00:08:16,160 --> 00:08:16,840 Speaker 3: I'm back on it. 150 00:08:17,040 --> 00:08:19,080 Speaker 1: So they did this study and then they're like, oh, 151 00:08:19,120 --> 00:08:24,800 Speaker 1: you're surprised, you fucking idiot. Everything is spying on you constantly. 152 00:08:25,200 --> 00:08:25,800 Speaker 3: That's true. 153 00:08:26,240 --> 00:08:28,960 Speaker 1: It just comes as a shock. Mozilla says, it really shouldn't. 154 00:08:29,200 --> 00:08:32,080 Speaker 1: When we're saying that cars are computers on wheels, what 155 00:08:32,120 --> 00:08:35,079 Speaker 1: we mean is they're packed with all the cameras, microphones, 156 00:08:35,120 --> 00:08:38,600 Speaker 1: and internet connectivity necessary to bag a whole bunch of 157 00:08:38,600 --> 00:08:43,040 Speaker 1: your personal data. So yeah, we should. It's our fault 158 00:08:43,640 --> 00:08:47,440 Speaker 1: for not recognizing that when they create a product with 159 00:08:48,040 --> 00:08:52,280 Speaker 1: cameras that it would seem to know, it would seem 160 00:08:52,800 --> 00:08:54,959 Speaker 1: like it makes sense for the product to have cameras 161 00:08:54,960 --> 00:08:57,560 Speaker 1: to make it better at not killing us and other people. 162 00:08:58,600 --> 00:09:02,080 Speaker 1: We should assume that those cameras and microphones are actually 163 00:09:02,080 --> 00:09:06,240 Speaker 1: being used to U spy on us, to sell our information. 164 00:09:06,400 --> 00:09:10,480 Speaker 2: Yeah, yeah, I mean that's what it's all become. So 165 00:09:11,240 --> 00:09:14,559 Speaker 2: you know, just buy, uh, buy like an old Honda, 166 00:09:14,679 --> 00:09:17,320 Speaker 2: you know what I mean, and just try and just 167 00:09:17,360 --> 00:09:17,720 Speaker 2: work it out. 168 00:09:17,880 --> 00:09:19,520 Speaker 1: Those are less safe. Yeah, I don't know. 169 00:09:19,559 --> 00:09:20,959 Speaker 2: I mean, I think it's just it's one of those 170 00:09:21,000 --> 00:09:23,720 Speaker 2: things where too what you're where your only recourse too 171 00:09:23,720 --> 00:09:26,720 Speaker 2: that they mentioned is you can sign this petition Mozilla's 172 00:09:26,720 --> 00:09:27,280 Speaker 2: put together. 173 00:09:28,360 --> 00:09:32,240 Speaker 1: It's like what or you can in every case except Tesla, 174 00:09:32,400 --> 00:09:35,120 Speaker 1: you can be like, hey stop doing that, Hey quit it, 175 00:09:35,520 --> 00:09:38,040 Speaker 1: and granted they'll probably like start doing it, Like I'm 176 00:09:38,040 --> 00:09:40,280 Speaker 1: sure they'll be like, we've just updated after you told 177 00:09:40,360 --> 00:09:42,280 Speaker 1: us to quit it, and you have to ask us 178 00:09:42,280 --> 00:09:45,199 Speaker 1: again to quit it, or we will keep doing it. 179 00:09:46,360 --> 00:09:48,160 Speaker 1: You can do that with everything. You can tell them 180 00:09:48,160 --> 00:09:50,920 Speaker 1: to quit it on everything except Tesla, where it will 181 00:09:50,960 --> 00:09:52,880 Speaker 1: like fucking break your cars. 182 00:09:53,240 --> 00:09:56,520 Speaker 2: Because it says that it's only these two car brands 183 00:09:56,559 --> 00:10:00,440 Speaker 2: like that are in Europe, like Renal and Dosia, that 184 00:10:00,840 --> 00:10:03,400 Speaker 2: actually say that as a driver, you have the right 185 00:10:03,440 --> 00:10:05,280 Speaker 2: to have your personal data deleted. 186 00:10:06,760 --> 00:10:07,679 Speaker 3: Everyone else is like. 187 00:10:07,600 --> 00:10:09,640 Speaker 1: Oh, yeah, we're not going to delete it. We'll just stop, 188 00:10:09,720 --> 00:10:12,840 Speaker 1: We'll just knock it off, just like we'll we'll like 189 00:10:12,920 --> 00:10:15,439 Speaker 1: have our hand lightly over our eyes with a big 190 00:10:15,520 --> 00:10:18,280 Speaker 1: dumb smile on our face, but like that and that's 191 00:10:18,320 --> 00:10:18,880 Speaker 1: cool with you. 192 00:10:18,960 --> 00:10:21,439 Speaker 2: Yeah, But like that Patrick Stewart episode of Extras, I've 193 00:10:21,480 --> 00:10:24,400 Speaker 2: already seen everything, so it's too late. I've already seen 194 00:10:24,400 --> 00:10:27,760 Speaker 2: it all, so it's just too late. Wait where he's 195 00:10:27,800 --> 00:10:31,000 Speaker 2: talking about how he like when he was playing Professor X. 196 00:10:31,000 --> 00:10:33,720 Speaker 2: He's telling like Ricky Gervais's character, how he had like 197 00:10:33,800 --> 00:10:37,160 Speaker 2: this new like concept he had for Professor X. He's like, 198 00:10:37,160 --> 00:10:39,560 Speaker 2: I recommended this scene where I'm in the locker room 199 00:10:39,559 --> 00:10:41,439 Speaker 2: and I make all the ladies clothes fall off and 200 00:10:41,480 --> 00:10:43,000 Speaker 2: they're trying to put their clothes back on. But I've 201 00:10:43,040 --> 00:10:45,080 Speaker 2: already seen everything. It's too late because that's what I 202 00:10:45,160 --> 00:10:48,800 Speaker 2: use my power. And he's just like, what the fuck 203 00:10:49,000 --> 00:10:51,360 Speaker 2: is this? And he's like every time he's like, or 204 00:10:51,400 --> 00:10:53,320 Speaker 2: this other thing where I'm walking my dog in the 205 00:10:53,360 --> 00:10:54,960 Speaker 2: park and my dog is going on the grass and 206 00:10:55,000 --> 00:10:56,800 Speaker 2: then this police woman says, oh, no, you can't have 207 00:10:56,840 --> 00:10:58,480 Speaker 2: your your dog on the grass. And then I make 208 00:10:58,480 --> 00:11:00,680 Speaker 2: her clothes fall off and she's trying to over herself up. 209 00:11:00,720 --> 00:11:01,280 Speaker 1: But it's too late. 210 00:11:01,280 --> 00:11:05,360 Speaker 3: I've already seen everything just goes over and over. This concept. 211 00:11:05,360 --> 00:11:07,319 Speaker 3: If it's too late, I've already seen everything. 212 00:11:09,040 --> 00:11:13,400 Speaker 1: Jesus Christ. All right, let's uh, let's take so so 213 00:11:13,480 --> 00:11:15,959 Speaker 1: it is too late. Your car has already seen everything, 214 00:11:16,080 --> 00:11:17,040 Speaker 1: is what we're learning here. 215 00:11:17,320 --> 00:11:18,880 Speaker 3: Or you can sign a petition where. 216 00:11:18,760 --> 00:11:23,200 Speaker 1: You can move to Europe or Mexico, which might be 217 00:11:23,320 --> 00:11:25,559 Speaker 1: a more attractive place to move. So, as we're about 218 00:11:25,600 --> 00:11:42,600 Speaker 1: to explain, after these messages, and we're back, and we 219 00:11:42,600 --> 00:11:46,800 Speaker 1: were just talking about that ABC jingle after these messages, 220 00:11:47,000 --> 00:11:49,960 Speaker 1: we'll be right back, remember that. 221 00:11:50,280 --> 00:11:50,679 Speaker 3: Yeah. 222 00:11:50,720 --> 00:11:56,640 Speaker 1: Anyways, moving on, Mexico's Supreme Court just decriminalized abortion. Yeah, 223 00:11:56,880 --> 00:12:01,560 Speaker 1: ruled to federally decriminalize abortion on grounds that it is 224 00:12:01,679 --> 00:12:03,120 Speaker 1: unconstitutional to do. 225 00:12:03,120 --> 00:12:06,480 Speaker 2: Other Yes, it's wild. Can you imagine these words coming 226 00:12:06,520 --> 00:12:08,640 Speaker 2: out of our Supreme Court? Because this is what the 227 00:12:08,720 --> 00:12:11,560 Speaker 2: ruling was from the Supreme Court in Mexico that the 228 00:12:11,800 --> 00:12:15,199 Speaker 2: quote criminalization of abortion constitutes an act of gender based 229 00:12:15,280 --> 00:12:18,360 Speaker 2: violence and discrimination as it perpetuates the stereotype that women 230 00:12:18,360 --> 00:12:20,839 Speaker 2: and people with the capacity to get pregnant can only 231 00:12:20,880 --> 00:12:24,720 Speaker 2: freely exercise their sexuality to procreate and reinforces the gender 232 00:12:24,800 --> 00:12:27,559 Speaker 2: role that imposes motherhood as a compulsory destiny. 233 00:12:27,679 --> 00:12:30,480 Speaker 3: Damn son, where'd you find that? 234 00:12:30,600 --> 00:12:31,800 Speaker 1: Take fucking bars? 235 00:12:32,440 --> 00:12:35,400 Speaker 3: Yeah, the Supreme fucking hot fire. 236 00:12:35,880 --> 00:12:39,480 Speaker 1: True fire. And this is of course coming at a 237 00:12:39,480 --> 00:12:41,840 Speaker 1: time when the US is moving in the other direction. 238 00:12:42,480 --> 00:12:46,360 Speaker 1: When Roe was overturned, a lot of Americans were forced 239 00:12:46,400 --> 00:12:49,760 Speaker 1: to travel to Mexico for abortions. So, yeah, we're going 240 00:12:49,840 --> 00:12:53,000 Speaker 1: to start seeing you know, a lot of lines at 241 00:12:53,000 --> 00:12:55,120 Speaker 1: the border going the other way. 242 00:12:55,440 --> 00:12:57,200 Speaker 2: They said, there was a one in one of the 243 00:12:57,200 --> 00:12:59,520 Speaker 2: border towns. They said, like in the spring they went 244 00:12:59,559 --> 00:13:02,680 Speaker 2: from a court order of their patients being from America 245 00:13:02,720 --> 00:13:05,120 Speaker 2: and then to half like a few months later. So 246 00:13:05,200 --> 00:13:09,559 Speaker 2: it's been trending upward. But yeah, it's it's like also 247 00:13:09,679 --> 00:13:13,960 Speaker 2: just it's just interesting too. There's a an analysis that 248 00:13:14,200 --> 00:13:16,480 Speaker 2: I was done like maybe like last year about like 249 00:13:16,520 --> 00:13:20,600 Speaker 2: backsliding democracies, and you know the perspective here, they say 250 00:13:20,720 --> 00:13:24,400 Speaker 2: we do curbs. Curbs on women's rights tend to accelerate 251 00:13:24,440 --> 00:13:27,960 Speaker 2: in backsliding democracies, a category that includes the United States, 252 00:13:27,960 --> 00:13:32,160 Speaker 2: According to virtually every independent metric and watchdog. In more 253 00:13:32,200 --> 00:13:34,959 Speaker 2: degraded democracies, the effect is more extreme. Around the globe, 254 00:13:35,000 --> 00:13:37,360 Speaker 2: the rise of right wing populism has been followed by 255 00:13:37,400 --> 00:13:43,160 Speaker 2: extraordinary reductions in women's rights. So yeah, we're on it that. 256 00:13:44,040 --> 00:13:46,760 Speaker 2: I don't know, honest, that's just like their opinion. 257 00:13:46,840 --> 00:13:51,360 Speaker 1: That's just like their opinion, man. But yeah, I mean, 258 00:13:53,000 --> 00:13:57,360 Speaker 1: like their opinion. Man, I'm sorry you called me my honor. 259 00:13:57,360 --> 00:14:02,120 Speaker 1: But then they said, and all right, whatever, no further answers, 260 00:14:02,480 --> 00:14:06,800 Speaker 1: no further answers, your honor. Just a real quick rip 261 00:14:07,280 --> 00:14:10,719 Speaker 1: to Danny Masterson as in rotten prison asshole. 262 00:14:10,840 --> 00:14:13,240 Speaker 3: Yeah, holy shit, thirty years. 263 00:14:13,040 --> 00:14:18,559 Speaker 2: Thirty years in pro life for multiple rapes. Yeah at 264 00:14:18,760 --> 00:14:21,320 Speaker 2: thirty years, I think many thirty years to life baby. 265 00:14:22,000 --> 00:14:22,360 Speaker 1: Yeah. 266 00:14:22,400 --> 00:14:25,200 Speaker 2: So well, uh that was a I mean, man, that 267 00:14:25,280 --> 00:14:27,720 Speaker 2: case went on I feel like a while. That started 268 00:14:27,840 --> 00:14:31,000 Speaker 2: when like six years ago. I feel like in twenty seventeen, yeah, 269 00:14:31,080 --> 00:14:32,600 Speaker 2: or eighteen was going. 270 00:14:32,600 --> 00:14:36,240 Speaker 1: To have a giant or not giant, but giant seeming 271 00:14:37,040 --> 00:14:39,480 Speaker 1: religious organization covering. 272 00:14:39,680 --> 00:14:43,400 Speaker 2: That's wow, euphemistic description religious org Yeah. 273 00:14:43,240 --> 00:14:49,040 Speaker 1: Tax entity tax entittis creature religion based tax entity. Yeah, exactly, 274 00:14:49,200 --> 00:14:53,640 Speaker 1: all right, Uh, the fallon, the fallon of it all, Miles, 275 00:14:53,680 --> 00:14:56,520 Speaker 1: what about the fallon of it all? Though? There's a 276 00:14:56,560 --> 00:15:02,000 Speaker 1: new article in Rolling Stone that that basically like we've 277 00:15:02,040 --> 00:15:06,200 Speaker 1: been here in that Jimmy fallons, like not the most 278 00:15:06,200 --> 00:15:12,120 Speaker 1: stable of individuals might have issues with booze. You know, 279 00:15:12,560 --> 00:15:19,040 Speaker 1: We've I've been there. Man, it's not easy, totally awful 280 00:15:19,200 --> 00:15:24,000 Speaker 1: to have issues with the booze. But this article, yeah, 281 00:15:24,080 --> 00:15:27,480 Speaker 1: he seems very difficult to work for, and yeah, the 282 00:15:27,520 --> 00:15:31,400 Speaker 1: whole institution seems like a true fucking nightmare. 283 00:15:31,680 --> 00:15:34,960 Speaker 2: It's a weird article because it's like, sounds like a 284 00:15:35,080 --> 00:15:39,280 Speaker 2: bad place to work with, like very sort of non 285 00:15:39,360 --> 00:15:44,360 Speaker 2: specific allegations, Like it sounds like he's erratic, he has 286 00:15:44,480 --> 00:15:47,560 Speaker 2: mood swings, he goes off on people. But it feels 287 00:15:47,600 --> 00:15:51,320 Speaker 2: like there's a lot more to it than like what 288 00:15:51,440 --> 00:15:53,680 Speaker 2: even we're getting from this article, you know what I mean? 289 00:15:54,000 --> 00:15:58,520 Speaker 1: Yeah, Yeah, So a quote from the article, Rolling Stone 290 00:15:58,520 --> 00:16:01,720 Speaker 1: contacted more than fifty to Night Show employees past and 291 00:16:01,800 --> 00:16:04,880 Speaker 1: present during the reporting for this story. After reaching out 292 00:16:04,920 --> 00:16:08,920 Speaker 1: to representatives for Fallon and NBC, Rolling Stone reached out 293 00:16:08,960 --> 00:16:12,160 Speaker 1: to an additional thirty current former staffers. While many of 294 00:16:12,200 --> 00:16:15,520 Speaker 1: them praised Fallon's immense talent and comedic gifts, not a 295 00:16:15,560 --> 00:16:18,240 Speaker 1: single one agreed to speak on the record or had 296 00:16:18,280 --> 00:16:21,280 Speaker 1: positive things to say about working on the Tonight Show. 297 00:16:21,760 --> 00:16:24,600 Speaker 1: Nor would any of the program's nine show runners since 298 00:16:24,640 --> 00:16:28,040 Speaker 1: twenty fourteen comment about the program's namesake on the record. 299 00:16:28,840 --> 00:16:32,240 Speaker 1: They wouldn't even give statements of support, as is common 300 00:16:32,360 --> 00:16:33,680 Speaker 1: in the entertainment industry. 301 00:16:33,880 --> 00:16:37,960 Speaker 2: Yeah, when they're pulling up the ladders like that, they're like, oh, 302 00:16:37,960 --> 00:16:39,040 Speaker 2: I don't know him. 303 00:16:39,720 --> 00:16:41,040 Speaker 1: Yeah, okay, sure. 304 00:16:41,520 --> 00:16:45,200 Speaker 3: Nine showrunners in nine years, I think also says a lot. Yeah. 305 00:16:45,200 --> 00:16:48,479 Speaker 1: But also we're in a new environment. Maybe they recognize 306 00:16:48,480 --> 00:16:51,040 Speaker 1: that it's a bad look to side with the boss 307 00:16:51,080 --> 00:16:54,200 Speaker 1: over the workers, especially during a strike, right when he 308 00:16:54,320 --> 00:16:58,280 Speaker 1: was like on Maine being unsupportive. But then there's the 309 00:16:58,440 --> 00:17:02,040 Speaker 1: NBC statement. Representatives for Fallon would not comment on the 310 00:17:02,040 --> 00:17:05,199 Speaker 1: record for this story. In a statement, a spokesperson for 311 00:17:05,359 --> 00:17:10,280 Speaker 1: NBC defended the program, but notably did not mention Fallon himself. 312 00:17:11,440 --> 00:17:14,960 Speaker 1: We are incredibly proud of the Tonight Show and providing 313 00:17:14,960 --> 00:17:18,919 Speaker 1: a respectful working environment as a top priority. As in 314 00:17:18,960 --> 00:17:22,320 Speaker 1: any workplace. We have had employees raise issues, those have 315 00:17:22,359 --> 00:17:25,119 Speaker 1: been investigated, and action has been taken where appropriate. But 316 00:17:26,000 --> 00:17:29,400 Speaker 1: it sounds like a yeah. I mean, it's like there's 317 00:17:29,600 --> 00:17:33,119 Speaker 1: weird HR shit where like people are like, this is 318 00:17:33,160 --> 00:17:36,680 Speaker 1: a really hostile, unhealthy place to work, and then HR 319 00:17:36,800 --> 00:17:41,640 Speaker 1: is like forwarding those complaints to the showrunner and talking 320 00:17:41,680 --> 00:17:44,800 Speaker 1: shit in the email forwarding it. So it's not like, 321 00:17:45,440 --> 00:17:47,960 Speaker 1: you know, an isolated thing, it's just a seems like 322 00:17:47,960 --> 00:17:49,600 Speaker 1: a real toxic, shitty environment. 323 00:17:49,920 --> 00:17:53,200 Speaker 2: Yeah, And that's why I'm like that seemed like it 324 00:17:53,240 --> 00:17:55,880 Speaker 2: could be just sort of this generational change in production 325 00:17:55,960 --> 00:17:57,720 Speaker 2: culture too, where they're like, yeah, we don't fucking do 326 00:17:57,800 --> 00:17:59,960 Speaker 2: that anymore or stand for this kind of shit anymore. 327 00:18:00,240 --> 00:18:03,680 Speaker 2: I hope that it's not worse than this, just for 328 00:18:03,720 --> 00:18:06,000 Speaker 2: the sake of the people involved, and it's just having 329 00:18:06,000 --> 00:18:09,720 Speaker 2: to deal with a just like ego driven prick. 330 00:18:10,280 --> 00:18:10,919 Speaker 3: As the host. 331 00:18:10,960 --> 00:18:13,240 Speaker 2: But there's also like this other story about how like 332 00:18:13,400 --> 00:18:17,320 Speaker 2: Jerry Seinfeld made him apologize to a Q card because 333 00:18:17,359 --> 00:18:20,399 Speaker 2: during like one of the episodes, he just went off 334 00:18:20,640 --> 00:18:22,639 Speaker 2: on one of the people, like the stage hands, I 335 00:18:22,680 --> 00:18:25,679 Speaker 2: was like, you know, like running the Q cards, and 336 00:18:26,440 --> 00:18:28,959 Speaker 2: I got to a point where it's it was very 337 00:18:29,040 --> 00:18:32,600 Speaker 2: awkward quote and Jerry was like, you should apologize to him, 338 00:18:32,640 --> 00:18:35,080 Speaker 2: almost trying to make it a joke. It was one 339 00:18:35,119 --> 00:18:37,720 Speaker 2: of the strangest moments ever, and so many people were there, 340 00:18:37,760 --> 00:18:39,280 Speaker 2: so it's kind of hard to forget. 341 00:18:39,680 --> 00:18:42,639 Speaker 1: And it did not think Seinfeld came. So there's an 342 00:18:42,720 --> 00:18:44,800 Speaker 1: update to the story where Seinfeld came and was like, 343 00:18:44,840 --> 00:18:47,640 Speaker 1: what are you talking about? It was normal, we were 344 00:18:47,720 --> 00:18:51,880 Speaker 1: just having a laugh. I always the best. I meant 345 00:18:51,920 --> 00:18:56,280 Speaker 1: it in a funny way. He's not a bad guy. Yeah, 346 00:18:56,320 --> 00:19:00,760 Speaker 1: so no surprise Seinfeld sided with Jimmy. But I don't know. 347 00:19:00,920 --> 00:19:03,639 Speaker 1: The specifics that we get are like people saying he 348 00:19:03,760 --> 00:19:06,840 Speaker 1: seemed like he was drunk at work a few times too, 349 00:19:06,920 --> 00:19:12,480 Speaker 1: a lot of times that he's this these two paragraphs. 350 00:19:12,480 --> 00:19:15,320 Speaker 1: According to most employees spoked Rolling Stone, it's common knowledge 351 00:19:15,359 --> 00:19:18,359 Speaker 1: behind the scenes that found temperament, mood, and treatment of 352 00:19:18,400 --> 00:19:22,560 Speaker 1: staffers is erratic. These employees say they've witnessed foulon snap 353 00:19:22,600 --> 00:19:26,240 Speaker 1: at crew members express irritation over the smallest of things 354 00:19:26,600 --> 00:19:30,399 Speaker 1: and brate and belittle staffers out of frustration. It was 355 00:19:30,480 --> 00:19:33,360 Speaker 1: like if Jimmy is in a bad mood, everyone's day 356 00:19:33,440 --> 00:19:36,040 Speaker 1: is fucked. Yeah. 357 00:19:36,119 --> 00:19:38,359 Speaker 2: Yeah, that feels like yeah, like that house you go 358 00:19:38,440 --> 00:19:40,000 Speaker 2: to as a kid or like one of the parents 359 00:19:40,119 --> 00:19:40,560 Speaker 2: is kind. 360 00:19:40,400 --> 00:19:43,040 Speaker 3: Of a mess, Like yeah, let's not get outside today, 361 00:19:43,080 --> 00:19:44,960 Speaker 3: and you're like, oh shit, all right, all right, all right. 362 00:19:45,440 --> 00:19:48,240 Speaker 1: People wouldn't joke around in the office, and they wouldn't 363 00:19:48,280 --> 00:19:50,680 Speaker 1: stand around and talk to each other. It was very 364 00:19:50,760 --> 00:19:53,680 Speaker 1: much like focus on whatever it is that you have 365 00:19:53,760 --> 00:19:56,320 Speaker 1: to do because Jimmy's in a bad mood and if 366 00:19:56,320 --> 00:19:59,560 Speaker 1: he sees that, he might fly off. Like it's just 367 00:19:59,600 --> 00:20:03,960 Speaker 1: like yeah, having to like exist in a workplace like 368 00:20:04,000 --> 00:20:05,880 Speaker 1: that or yeah, like you said, in like a home 369 00:20:05,920 --> 00:20:07,760 Speaker 1: life like that, Like it just sounds like. 370 00:20:08,040 --> 00:20:12,000 Speaker 2: Yeah, we're one person kind of dictates the entire energetic 371 00:20:12,080 --> 00:20:16,200 Speaker 2: flow of like a of a physical space is like yeah, yeah, 372 00:20:16,240 --> 00:20:18,879 Speaker 2: well uh, and it sucks to have to be like 373 00:20:19,080 --> 00:20:21,679 Speaker 2: have fucking Jimmy fallon go off on you. 374 00:20:22,400 --> 00:20:25,439 Speaker 3: I've been like listen here, motherfucker. 375 00:20:25,920 --> 00:20:30,639 Speaker 1: You know, Like yeah, he's like he like the stuff 376 00:20:30,640 --> 00:20:32,919 Speaker 1: he says is just really he's like, is there something 377 00:20:33,000 --> 00:20:36,199 Speaker 1: wrong with you? Like one of all the descriptions is 378 00:20:36,240 --> 00:20:41,240 Speaker 1: like he keeps like concerned everything's and if there's something 379 00:20:41,320 --> 00:20:43,000 Speaker 1: wrong with them, because he doesn't know. 380 00:20:43,040 --> 00:20:45,480 Speaker 3: I'm just worried about their joke. I'm just worried about you. 381 00:20:45,520 --> 00:20:46,560 Speaker 3: Are you okay? Are you good? 382 00:20:46,960 --> 00:20:49,920 Speaker 1: Yeah? That's fuck that fuck out my face? All right, 383 00:20:50,320 --> 00:20:53,399 Speaker 1: so cool guy, All right. Well, those are some of 384 00:20:53,440 --> 00:20:56,840 Speaker 1: the things that are trending on this Thursday afternoon. We 385 00:20:56,920 --> 00:20:59,520 Speaker 1: are back tomorrow with a whole ass episode of the show. 386 00:21:00,280 --> 00:21:03,320 Speaker 1: Until then, be kind to each other, be kind to yourselves, 387 00:21:03,320 --> 00:21:06,840 Speaker 1: get the vaccine, don't do nothing about white supremacy, and 388 00:21:06,880 --> 00:21:14,760 Speaker 1: we will talk to y'all tomorrow. Bye bye,