1 00:00:00,120 --> 00:00:02,720 Speaker 1: This is the fread Show. Let's get you Hotel a 2 00:00:02,800 --> 00:00:06,000 Speaker 1: trip for tunis you? Jennifer Lopez her brand new Las 3 00:00:06,080 --> 00:00:09,799 Speaker 1: Vegas residency. Jennifer Lopez Up All Night Live in Las 4 00:00:09,920 --> 00:00:13,320 Speaker 1: Vegas March thirteenth, twenty twenty six at the Coliseum at 5 00:00:13,360 --> 00:00:17,640 Speaker 1: Caesar's Palace, Texas Night to three seven three three seven 6 00:00:17,840 --> 00:00:20,159 Speaker 1: right now for a chance to win two tickets to 7 00:00:20,200 --> 00:00:23,000 Speaker 1: the March thirteenth show at two Night Hotels Day March 8 00:00:23,040 --> 00:00:26,200 Speaker 1: twelfth through the fourteenth at pe Flamingo Hotel Casino, Las 9 00:00:26,280 --> 00:00:29,040 Speaker 1: Vegas and at the Browncha Fair Fair. A confirmation text 10 00:00:29,040 --> 00:00:31,720 Speaker 1: will be sent Denner's message and data rates may apply. 11 00:00:31,960 --> 00:00:34,159 Speaker 1: All Thanks Live Dation tickets are on sale now at 12 00:00:34,200 --> 00:00:37,639 Speaker 1: ticketmaster dot com for all shows running December thirtieth through 13 00:00:37,760 --> 00:00:40,160 Speaker 1: January third, and March sixth through the twenty eighth. 14 00:00:42,720 --> 00:00:45,519 Speaker 2: I am not salty, okay, I am single and sweet. 15 00:00:45,600 --> 00:00:48,440 Speaker 1: You should listen just to see what's going to happen next. 16 00:00:49,360 --> 00:00:52,199 Speaker 1: Fred's show is on first thing I see on our 17 00:00:52,240 --> 00:00:57,200 Speaker 1: shared document this morning. Paulina swamp Crotch is getting people 18 00:00:57,280 --> 00:01:00,640 Speaker 1: stopped at TSA. Harry Well it me. We'll click on 19 00:01:00,680 --> 00:01:09,280 Speaker 1: that while we're here. While we're here passenger flag by 20 00:01:09,319 --> 00:01:14,399 Speaker 1: TSA after swamp crotch sets off alarm. You better not 21 00:01:14,440 --> 00:01:16,560 Speaker 1: go to the airport anytime soon because you know you're 22 00:01:16,600 --> 00:01:18,440 Speaker 1: a little leaking boove situation. 23 00:01:18,680 --> 00:01:22,520 Speaker 3: Yeah, luckily it's not down there yet allegedly, but like 24 00:01:23,680 --> 00:01:25,960 Speaker 3: I'm leaking like where I'm not supposed to be leaking either. 25 00:01:26,160 --> 00:01:29,399 Speaker 1: Oh okay, all right. 26 00:01:30,440 --> 00:01:30,960 Speaker 4: Something wrong? 27 00:01:31,080 --> 00:01:34,600 Speaker 3: Imagine hating me and I'm just here like leaking. 28 00:01:35,360 --> 00:01:37,240 Speaker 1: If it's leaking from a place they didn't work on, 29 00:01:37,319 --> 00:01:40,440 Speaker 1: you might want to go investigate that. No, it's all good, 30 00:01:40,480 --> 00:01:45,680 Speaker 1: as somebody check that out. O good. Yeah, a checkpoint 31 00:01:45,720 --> 00:01:53,840 Speaker 1: alarm bells began blaring after a traveler's groin. Oh is 32 00:01:53,880 --> 00:01:57,000 Speaker 1: this like a personal situation or is this actual sweat? 33 00:01:57,000 --> 00:01:58,720 Speaker 1: I mean, I'm reading this real time, which might be 34 00:01:58,760 --> 00:02:01,600 Speaker 1: a mistake, but Paul put it on here, so I'm 35 00:02:01,640 --> 00:02:02,240 Speaker 1: trusting you. 36 00:02:02,720 --> 00:02:05,000 Speaker 3: It said that there's an extreme wetness in the pants 37 00:02:05,160 --> 00:02:07,560 Speaker 3: is what this is due too. So if I'm working 38 00:02:07,560 --> 00:02:10,720 Speaker 3: at TSA first, how would I know unless I guess 39 00:02:10,720 --> 00:02:13,480 Speaker 3: I see it right, like common natty your pants, Like 40 00:02:13,520 --> 00:02:14,760 Speaker 3: I see a big stain. 41 00:02:14,720 --> 00:02:17,600 Speaker 4: Is swamp crotch? Like swamp but where it's just because 42 00:02:17,639 --> 00:02:18,600 Speaker 4: it's so hot outside. 43 00:02:18,680 --> 00:02:21,079 Speaker 1: I think that's what I'm asking is That's what I think. 44 00:02:21,120 --> 00:02:23,799 Speaker 1: It makes you think so swampy, So it's not anything else. 45 00:02:23,800 --> 00:02:25,800 Speaker 1: I mean, I'm just wondering, where are we going with this? 46 00:02:26,080 --> 00:02:27,799 Speaker 1: Like I really should have read this ahead of time. 47 00:02:28,200 --> 00:02:31,080 Speaker 1: I'm trusting the team here. Oh, but I'm kind of wondering, 48 00:02:31,120 --> 00:02:32,919 Speaker 1: if what do we read the whole article I did. 49 00:02:33,000 --> 00:02:35,880 Speaker 3: I still understand because I think as women, we kind 50 00:02:35,880 --> 00:02:37,880 Speaker 3: of have it all year round, depending what you got 51 00:02:37,919 --> 00:02:39,520 Speaker 3: going on. I kind of underwear, you know what I mean, 52 00:02:39,560 --> 00:02:41,320 Speaker 3: where we're headed, where we're coming back from. 53 00:02:41,560 --> 00:02:44,000 Speaker 1: Well, guys, I mean, we get swampy, but I get 54 00:02:44,040 --> 00:02:48,399 Speaker 1: you know, I get the pity for swampy. But yeah, yeah, 55 00:02:48,560 --> 00:02:52,000 Speaker 1: don't never know that that it happens anyway. But I'm 56 00:02:52,000 --> 00:02:53,760 Speaker 1: trying to figure out what TSA had to get involved. 57 00:02:53,760 --> 00:02:55,359 Speaker 1: So if you look for the first time in fifteen 58 00:02:55,440 --> 00:02:58,919 Speaker 1: years and both airports flagg my crotch at the arms 59 00:02:59,040 --> 00:03:02,560 Speaker 1: up scanner all so, I guess it's like the the 60 00:03:02,600 --> 00:03:06,400 Speaker 1: little radar through whatever it is not radar detected something 61 00:03:06,560 --> 00:03:10,040 Speaker 1: X ray thing was like, what's going on here? The 62 00:03:10,320 --> 00:03:15,560 Speaker 1: wet wanderluster. Describe yourself as mid sized adult woman five eight, 63 00:03:15,600 --> 00:03:18,040 Speaker 1: one hundred and sixty nine pounds wearing bike shorts and 64 00:03:18,120 --> 00:03:22,520 Speaker 1: normal underwear. The Skyway Siren assured social media readers that 65 00:03:22,600 --> 00:03:26,280 Speaker 1: her private parts were neither pierced nor outfitted with medical devices. 66 00:03:26,680 --> 00:03:29,600 Speaker 1: She claimed her pockets were totally empty. I don't care 67 00:03:29,600 --> 00:03:31,600 Speaker 1: about the pat down. They were polite and professional. It 68 00:03:31,600 --> 00:03:35,240 Speaker 1: didn't bother me. But I'm wondering what I did. Internet 69 00:03:35,360 --> 00:03:39,240 Speaker 1: know it alls say it's crotch sweat, and they're likely right. Okay, 70 00:03:40,840 --> 00:03:42,560 Speaker 1: I guess there are other things for women that can 71 00:03:42,600 --> 00:03:47,520 Speaker 1: set that off. But depending on what's going on. Wat 72 00:03:48,640 --> 00:03:52,600 Speaker 1: I are your story? Have you had a TSA issue? 73 00:03:52,720 --> 00:03:56,400 Speaker 2: No, No issues with TSA, oh, but issues with what 74 00:03:56,640 --> 00:03:56,840 Speaker 2: it is? 75 00:03:56,920 --> 00:04:06,680 Speaker 1: Never an issue a WAP. There's a lot of possibilities here, see, 76 00:04:06,920 --> 00:04:09,240 Speaker 1: because I'm talking about something else and over here I go, 77 00:04:09,360 --> 00:04:12,240 Speaker 1: m hm, you have a personal experience with this. 78 00:04:12,480 --> 00:04:16,080 Speaker 4: I'm glad everything's normal. 79 00:04:16,920 --> 00:04:20,080 Speaker 1: To a bodily function that can wrongfully trigger red flags 80 00:04:20,120 --> 00:04:24,680 Speaker 1: per a TSA expert. Really, perspiration is probably the weirdest 81 00:04:24,680 --> 00:04:27,480 Speaker 1: thing that can set off the scanners. According to somebody 82 00:04:27,520 --> 00:04:30,440 Speaker 1: who was commenting on this for Reader's Digest, it has 83 00:04:30,480 --> 00:04:34,640 Speaker 1: to do with millimeter wave technology and how the wave 84 00:04:35,000 --> 00:04:39,600 Speaker 1: bounces off water. The insider added it becausin machine often 85 00:04:39,640 --> 00:04:43,239 Speaker 1: generates false alarms due to sweat. Some countries have banned 86 00:04:43,240 --> 00:04:46,919 Speaker 1: the scanners altogether, but massive moisture isn't the only reason 87 00:04:46,920 --> 00:04:51,760 Speaker 1: the TSA technology might mistake one's undercarriage for a dangerous weapon. 88 00:04:51,800 --> 00:04:56,320 Speaker 1: It's been alleged to frequent flyers boasting larger features, such 89 00:04:56,400 --> 00:05:00,479 Speaker 1: as Booty Delicious, who wrote this bolicious behind, can expect 90 00:05:00,560 --> 00:05:02,840 Speaker 1: to be stopped and searched before the green lights and 91 00:05:02,880 --> 00:05:07,000 Speaker 1: board a plane. One person says the screening technology effectively 92 00:05:07,000 --> 00:05:10,240 Speaker 1: screens diverse populations of travelers each day. Adding to the 93 00:05:10,240 --> 00:05:13,640 Speaker 1: devices and screening algorithms are trained to recognize body composition. 94 00:05:14,360 --> 00:05:19,080 Speaker 1: Any unexpected abnormalities, excess sweat, et cetera could prompt an alert. 95 00:05:19,400 --> 00:05:22,640 Speaker 1: Oh you got that weapon down there? Okay, I think 96 00:05:22,640 --> 00:05:24,080 Speaker 1: a lot of people would say that they need to 97 00:05:24,080 --> 00:05:29,359 Speaker 1: be stopped. Then hands up, you know why are you 98 00:05:29,360 --> 00:05:32,640 Speaker 1: putting on the TSA. This poor TSA agent just came 99 00:05:32,680 --> 00:05:34,520 Speaker 1: to work to make sure that nobody had anything in 100 00:05:34,520 --> 00:05:37,000 Speaker 1: their bags, and Kiki's over here trying to set off 101 00:05:37,000 --> 00:05:38,159 Speaker 1: alarms and put it on them. 102 00:05:39,120 --> 00:05:42,200 Speaker 2: And I'm sorry, if you can detect what's the moisture 103 00:05:42,279 --> 00:05:44,520 Speaker 2: that's going on, you are too much in my. 104 00:05:44,480 --> 00:05:45,280 Speaker 5: Business, like. 105 00:05:48,040 --> 00:05:50,040 Speaker 2: To take this thing with me now, you don't need 106 00:05:50,080 --> 00:05:53,160 Speaker 2: to be able to know what's happening, Like that's too invasive. 107 00:05:53,160 --> 00:05:54,680 Speaker 1: Well, I want to know what's so exciting in the 108 00:05:54,680 --> 00:05:59,760 Speaker 1: TSA or why you're so stressed out one of the other. 109 00:06:00,080 --> 00:06:02,280 Speaker 1: Are we so stressing? That might be a sign of mind. 110 00:06:02,440 --> 00:06:05,000 Speaker 1: Look a little more carefully in your bags. I've seen 111 00:06:05,040 --> 00:06:08,000 Speaker 1: locked up Abroad. Okay, have you ever watched that show? 112 00:06:08,120 --> 00:06:11,719 Speaker 1: Those people get very nervous, you know, these amateur drug 113 00:06:11,800 --> 00:06:14,720 Speaker 1: smugglers get very nervous. There might be something to this. Yes, 114 00:06:14,920 --> 00:06:17,240 Speaker 1: they're sweating a lot, and they think everyone's looking at 115 00:06:17,279 --> 00:06:20,080 Speaker 1: them because they've got you know, black tar heroine that 116 00:06:20,160 --> 00:06:22,400 Speaker 1: some man gave them for a ten thousand dollars vacation 117 00:06:22,480 --> 00:06:25,120 Speaker 1: that they thought was just no strings attached. Show before. 118 00:06:25,279 --> 00:06:27,360 Speaker 3: Yes, and once you get pulled to the back room, 119 00:06:27,360 --> 00:06:29,000 Speaker 3: it's a rap, like it's like, oh, they. 120 00:06:28,880 --> 00:06:32,000 Speaker 1: Told me I could go to Ebitha and you know 121 00:06:32,000 --> 00:06:34,120 Speaker 1: they're gonna pay for everything, and it was just free. 122 00:06:34,120 --> 00:06:35,200 Speaker 1: I didn't have to do anything. 123 00:06:35,320 --> 00:06:37,840 Speaker 4: Now you're an equatory in jail, or there's some. 124 00:06:37,760 --> 00:06:42,240 Speaker 1: Reason I wind up an Ecuador, not in Betha at all, 125 00:06:43,080 --> 00:06:47,200 Speaker 1: you know, and why am I in jail? Yeah? Anyway, 126 00:06:47,600 --> 00:06:49,800 Speaker 1: Well thank you for that, Pauline. I had no idea. 127 00:06:49,960 --> 00:06:51,200 Speaker 5: What an amazing contribution. 128 00:06:51,440 --> 00:06:55,040 Speaker 1: No really, I mean we really, Yes, I can tell 129 00:06:55,080 --> 00:06:57,360 Speaker 1: that while I've been gone you you evolved from making 130 00:06:57,400 --> 00:07:00,800 Speaker 1: this your personal diary to really me with some heat, 131 00:07:01,040 --> 00:07:04,680 Speaker 1: hard hitting journalism. I'm saying, you know what I mean, Whittler, 132 00:07:04,800 --> 00:07:08,599 Speaker 1: this is the situation. Yes, I sweat all the time. 133 00:07:08,680 --> 00:07:12,200 Speaker 1: This is a text specify before I start reading people's comments. 134 00:07:12,240 --> 00:07:13,800 Speaker 1: It's a text. I sweat all the time. I do. 135 00:07:14,280 --> 00:07:17,239 Speaker 1: I'm a sweaty guy. I'm a sweaty person, and I 136 00:07:17,280 --> 00:07:19,560 Speaker 1: you know, sometimes I get the I go to Leslie 137 00:07:19,600 --> 00:07:21,960 Speaker 1: t the light Boat Dog, I get the underarm botox, 138 00:07:22,000 --> 00:07:24,200 Speaker 1: which is very effective. I still think it makes it 139 00:07:24,280 --> 00:07:27,119 Speaker 1: come out of like other places more, which I guess 140 00:07:27,120 --> 00:07:31,240 Speaker 1: makes me prone for a TSA inspection. But I sweat 141 00:07:31,240 --> 00:07:33,920 Speaker 1: all the time, but I've learned cotton I don't sweat 142 00:07:33,920 --> 00:07:37,280 Speaker 1: as much. Other fabric material. I sweat like crazy down there. Well, 143 00:07:37,280 --> 00:07:41,480 Speaker 1: thank you for that, appreciate that. And we have a 144 00:07:41,520 --> 00:07:45,080 Speaker 1: dialogue going on here. It's embarrassing. It happens every time, 145 00:07:46,000 --> 00:07:48,840 Speaker 1: Oh someone said, oh wow, you got to like that's it. 146 00:07:48,880 --> 00:07:52,960 Speaker 1: That's kind of a humble brag, depending what we're talking about. 147 00:07:53,080 --> 00:07:54,760 Speaker 6: Yeah, it's still a hasshole that you have to look 148 00:07:54,800 --> 00:07:56,560 Speaker 6: forward to every time you want to fly somewhere. 149 00:07:56,840 --> 00:07:57,600 Speaker 4: Cotton underwear. 150 00:07:58,720 --> 00:07:59,440 Speaker 5: Well that's true too. 151 00:08:00,200 --> 00:08:02,040 Speaker 4: So like sometimes we just don't need to share stuff, 152 00:08:02,040 --> 00:08:04,400 Speaker 4: like if that happened to you, it's okay, like yeah, 153 00:08:04,680 --> 00:08:07,920 Speaker 4: we need to write an article about it, you know. 154 00:08:07,360 --> 00:08:10,640 Speaker 1: But I've seen internet or I don't know how I 155 00:08:10,720 --> 00:08:14,120 Speaker 1: know this, but like they can see a lot in 156 00:08:14,160 --> 00:08:16,040 Speaker 1: that next and that thing where you put your hands 157 00:08:16,120 --> 00:08:19,040 Speaker 1: up like this, Yeah, they can see like like hey, no, right, 158 00:08:19,080 --> 00:08:21,200 Speaker 1: they can see they can see all that. Like they 159 00:08:21,240 --> 00:08:25,280 Speaker 1: can't see like it per se, but like there's it's 160 00:08:25,320 --> 00:08:29,480 Speaker 1: it's yeah, they can see your prince Harry or whatever 161 00:08:29,520 --> 00:08:29,720 Speaker 1: it is. 162 00:08:31,200 --> 00:08:39,560 Speaker 7: Sorry, they can see that's a different one. They know, 163 00:08:39,840 --> 00:08:43,880 Speaker 7: they know, they know to make sure this is. 164 00:08:45,920 --> 00:08:50,199 Speaker 1: This is all. This is all for public safety, Jason. 165 00:08:50,240 --> 00:08:52,240 Speaker 5: Exactly, and they want to cause no alarm. 166 00:08:53,040 --> 00:08:55,160 Speaker 1: I do have a story about the shoes though, because 167 00:08:55,200 --> 00:08:57,679 Speaker 1: apparently some airports now t s a is not making 168 00:08:57,720 --> 00:09:00,120 Speaker 1: people take their shoes off, but only some are for 169 00:09:00,160 --> 00:09:05,640 Speaker 1: it's not others. So that's another thing is I've noticed that, 170 00:09:05,800 --> 00:09:11,360 Speaker 1: like there's a general generally, you can you can expect 171 00:09:11,559 --> 00:09:13,640 Speaker 1: that you're if you're not TSA pre check, you're taking 172 00:09:13,640 --> 00:09:15,800 Speaker 1: your shoes off for the most part, you're taking your 173 00:09:15,840 --> 00:09:17,720 Speaker 1: laptop set or whatever. But I've noticed there are some 174 00:09:17,840 --> 00:09:20,800 Speaker 1: airports now that have updated technology where you don't have 175 00:09:20,920 --> 00:09:21,280 Speaker 1: to do. 176 00:09:21,200 --> 00:09:21,600 Speaker 3: That, right. 177 00:09:21,640 --> 00:09:22,800 Speaker 5: The rules change all the time. 178 00:09:22,640 --> 00:09:25,000 Speaker 1: And I know, but I've also noticed the TSA agents 179 00:09:25,360 --> 00:09:28,080 Speaker 1: they assume that you just know this already. 180 00:09:27,720 --> 00:09:29,840 Speaker 4: And they're still yelling. But I'm at a different airport 181 00:09:29,840 --> 00:09:31,000 Speaker 4: with different rules. 182 00:09:30,760 --> 00:09:33,760 Speaker 1: Right, and so yes, so don't take your laptop out, Okay, 183 00:09:33,760 --> 00:09:36,320 Speaker 1: I've been doing it for twenty years, all right, it's 184 00:09:36,400 --> 00:09:38,360 Speaker 1: learning behavior, and I know that if I don't take 185 00:09:38,400 --> 00:09:40,240 Speaker 1: it out and I was supposed to, then I'm going 186 00:09:40,320 --> 00:09:41,640 Speaker 1: to hold up the whole line. And then I'm that 187 00:09:41,679 --> 00:09:44,320 Speaker 1: guy who looks like I've never traveled before. So I 188 00:09:44,320 --> 00:09:47,319 Speaker 1: don't know what to do these days. You know, maybe 189 00:09:47,400 --> 00:09:50,400 Speaker 1: and maybe maybe there is a huge sign that says, 190 00:09:50,400 --> 00:09:51,960 Speaker 1: at this airport, you don't have to do that, and 191 00:09:52,000 --> 00:09:54,120 Speaker 1: I just am too you know in my brain to 192 00:09:54,280 --> 00:09:57,280 Speaker 1: not see that. I don't think a TSA agent. I 193 00:09:57,280 --> 00:09:59,720 Speaker 1: don't think that's an easy job. I mean, you're dealing 194 00:09:59,720 --> 00:10:02,600 Speaker 1: with a dumb people, and people don't follow the directions 195 00:10:02,600 --> 00:10:04,880 Speaker 1: even when you tell them. I understand all of that, 196 00:10:05,120 --> 00:10:07,280 Speaker 1: but we got there's also a gray area here of 197 00:10:07,360 --> 00:10:09,880 Speaker 1: emerging technology. You know, they're gonna be airports where you 198 00:10:09,880 --> 00:10:12,800 Speaker 1: don't have to take your shoes off, and then you're 199 00:10:12,800 --> 00:10:14,679 Speaker 1: gonna take your shoes off, and they're gonna be why 200 00:10:14,679 --> 00:10:16,719 Speaker 1: are you're taking any shoes off? Well, because it's I've 201 00:10:16,720 --> 00:10:18,560 Speaker 1: been doing it for twenty years because of that moron 202 00:10:18,640 --> 00:10:21,520 Speaker 1: with the bombed is shoe okay? And they're gonna be like, well, 203 00:10:21,520 --> 00:10:23,360 Speaker 1: but here you don't have to. But then you're gonna 204 00:10:23,360 --> 00:10:24,920 Speaker 1: go to the airport where you're you know, you're going 205 00:10:24,920 --> 00:10:27,720 Speaker 1: to Charleston, and they're they're not doing it yet. So 206 00:10:27,760 --> 00:10:29,080 Speaker 1: you're gonna be like, but I didn't have to do 207 00:10:29,080 --> 00:10:30,960 Speaker 1: it over there, and they're like, but but you have 208 00:10:31,000 --> 00:10:32,480 Speaker 1: to do it here. And so it's it's gonna be 209 00:10:32,520 --> 00:10:34,880 Speaker 1: a big thing. It's like the person with the bag 210 00:10:35,080 --> 00:10:37,880 Speaker 1: that it fit on the way here. We're on a 211 00:10:37,880 --> 00:10:40,440 Speaker 1: different plane now, okay, like we're on a different plane, 212 00:10:40,440 --> 00:10:43,000 Speaker 1: I'm a different person, and then it will last. I mean, 213 00:10:43,040 --> 00:10:45,000 Speaker 1: it's possible that it fit on that plane didn't fit 214 00:10:45,000 --> 00:10:47,400 Speaker 1: on this plane. It's possible you're lying to me both ways. 215 00:10:47,400 --> 00:10:49,439 Speaker 1: But you've heard that one before where someone tries to 216 00:10:49,480 --> 00:10:53,199 Speaker 1: take their trunk that you know that they're traveling with 217 00:10:53,480 --> 00:10:55,800 Speaker 1: and they're like, no, but it fit on the way here, 218 00:10:56,880 --> 00:11:00,720 Speaker 1: it doesn't. But it doesn't fit now, Okay, all right, 219 00:11:00,760 --> 00:11:01,439 Speaker 1: thank you, Hiki. 220 00:11:03,120 --> 00:11:03,640 Speaker 4: How you doing? 221 00:11:03,920 --> 00:11:06,240 Speaker 1: Yeah? And I also I also I brought up a 222 00:11:06,280 --> 00:11:08,960 Speaker 1: story yesterday from my personal experience that is making it 223 00:11:09,000 --> 00:11:12,000 Speaker 1: into what's trending today. It's almost like I can predict 224 00:11:12,000 --> 00:11:14,600 Speaker 1: the future, like I know what's coming. Maybe I should 225 00:11:14,600 --> 00:11:16,640 Speaker 1: start writing down everything that I think about from day 226 00:11:16,679 --> 00:11:19,720 Speaker 1: to day. Maybe not, though, because we don't need to 227 00:11:19,720 --> 00:11:21,840 Speaker 1: have all that proof of all of that. I don't 228 00:11:21,840 --> 00:11:24,880 Speaker 1: want to be subpoena dever. Hi Jason, Hi Paulina, thank 229 00:11:24,920 --> 00:11:27,360 Speaker 1: you for that incredible start to the show. Thank you, 230 00:11:27,440 --> 00:11:28,000 Speaker 1: it was really good. 231 00:11:28,080 --> 00:11:30,319 Speaker 3: Yeah, my peers be proud of the National Association of 232 00:11:30,360 --> 00:11:32,360 Speaker 3: Hispatic Journalists are in tone. 233 00:11:32,559 --> 00:11:34,360 Speaker 4: Yeah, what is that? I want to meet him? 234 00:11:34,720 --> 00:11:35,000 Speaker 1: John? 235 00:11:35,120 --> 00:11:40,400 Speaker 4: You know, I'm talking about Yes, I want to meet him. 236 00:11:40,920 --> 00:11:44,200 Speaker 1: Jonas is here and you didn't book him. I know, figure, 237 00:11:44,280 --> 00:11:45,520 Speaker 1: what would you do? John? 238 00:11:46,400 --> 00:11:50,080 Speaker 3: He is like the godfather of like you know, broadcasting 239 00:11:50,120 --> 00:11:50,360 Speaker 3: for me. 240 00:11:50,480 --> 00:11:54,920 Speaker 1: I love him. Hikky belha mean and at Shovis Shelley 241 00:11:54,920 --> 00:11:57,679 Speaker 1: are here. We've talked about this over the years, and 242 00:11:57,720 --> 00:12:01,719 Speaker 1: I've got in trouble about this, but and I get 243 00:12:01,840 --> 00:12:03,320 Speaker 1: the right thing to do is say that you would 244 00:12:03,360 --> 00:12:05,839 Speaker 1: be the hero in every example. But I've watched that 245 00:12:05,960 --> 00:12:08,840 Speaker 1: John kenyone show where like they're really like they'll have 246 00:12:08,920 --> 00:12:11,599 Speaker 1: people say racist or heart just mean or have you 247 00:12:11,640 --> 00:12:14,720 Speaker 1: seen his thing? I thought it's like set up scenarios 248 00:12:15,040 --> 00:12:18,000 Speaker 1: where they'll someone will steal something or somebody will will 249 00:12:18,080 --> 00:12:21,439 Speaker 1: like miss like say something rude or mean or racist 250 00:12:21,559 --> 00:12:26,320 Speaker 1: or bad or whatever in front of another person who's unsuspecting, 251 00:12:26,720 --> 00:12:29,760 Speaker 1: and then they're looking to see if you're gonna intervene, 252 00:12:30,679 --> 00:12:32,800 Speaker 1: So like if it were if it were criminal, like 253 00:12:32,840 --> 00:12:34,960 Speaker 1: if it were a matter of public safety, if it 254 00:12:34,960 --> 00:12:37,760 Speaker 1: were child, I would like to believe that I would intervene. 255 00:12:37,880 --> 00:12:39,920 Speaker 1: But on some of the stuff where people are saying 256 00:12:39,960 --> 00:12:44,720 Speaker 1: bad stuff to other people in twenty twenty five, I 257 00:12:44,760 --> 00:12:46,839 Speaker 1: don't know that I would jump, I would say something 258 00:12:46,920 --> 00:12:51,040 Speaker 1: to somebody. I might like call the cops. But I've 259 00:12:51,040 --> 00:12:53,000 Speaker 1: heard people be like, what do you mean you wouldn't 260 00:12:53,040 --> 00:12:55,880 Speaker 1: jump in between two people having a racist argument. I 261 00:12:55,880 --> 00:12:58,240 Speaker 1: don't know any Like I know it's not right, and 262 00:12:58,280 --> 00:13:00,640 Speaker 1: if it were, like if a woman or a child 263 00:13:00,640 --> 00:13:03,679 Speaker 1: we're unsafe that I don't I don't really care, but 264 00:13:04,080 --> 00:13:06,640 Speaker 1: I don't know. Like these days, I feel like I 265 00:13:06,679 --> 00:13:08,640 Speaker 1: would just call the cops. And I don't know if 266 00:13:08,679 --> 00:13:10,400 Speaker 1: that's what John Quinonez is looking for. 267 00:13:12,320 --> 00:13:15,280 Speaker 2: I'm crazy, That's what I mean. 268 00:13:15,520 --> 00:13:18,880 Speaker 1: Like I'm not I'm not anyone's hero here like I do. 269 00:13:19,000 --> 00:13:21,800 Speaker 1: I would. I can't watch something happen to someone and 270 00:13:21,840 --> 00:13:25,360 Speaker 1: not intervene. If I can say, like, oh my god forbid, 271 00:13:25,400 --> 00:13:27,520 Speaker 1: someone's trying to kidnap a kid or like ure them 272 00:13:27,520 --> 00:13:29,600 Speaker 1: and do it like now, that's different. But as far 273 00:13:29,600 --> 00:13:32,079 Speaker 1: as like people communicating with each other, I'm not looking 274 00:13:32,080 --> 00:13:34,560 Speaker 1: to get in the middle of people's arguments because people 275 00:13:34,600 --> 00:13:40,120 Speaker 1: have guns and knives and and so like they're always 276 00:13:40,120 --> 00:13:42,520 Speaker 1: looking for the person and they reward the person, you know, 277 00:13:42,720 --> 00:13:46,320 Speaker 1: for like getting in the middle of these conversations. But 278 00:13:46,440 --> 00:13:48,880 Speaker 1: I kind of tended like mind my own business, because 279 00:13:48,880 --> 00:13:51,680 Speaker 1: I also don't often know the context. You know, we 280 00:13:51,679 --> 00:13:53,920 Speaker 1: we witness and hear things in everyday life all the 281 00:13:53,960 --> 00:13:56,440 Speaker 1: time that I'm like, I don't know about that, but 282 00:13:56,520 --> 00:13:58,120 Speaker 1: I don't really know what I'm looking at. 283 00:13:58,200 --> 00:14:02,000 Speaker 2: So yeah, you might think the cameras are rolling, so 284 00:14:02,040 --> 00:14:02,920 Speaker 2: you try to really. 285 00:14:02,760 --> 00:14:04,920 Speaker 5: Be like, right, don't say that to her. Yeah, next 286 00:14:04,960 --> 00:14:07,319 Speaker 5: thing you know, you're getting beat up and drug That's 287 00:14:07,440 --> 00:14:07,800 Speaker 5: what I mean. 288 00:14:07,920 --> 00:14:09,559 Speaker 1: So that's the thing, like, I'm not trying to I'm 289 00:14:09,600 --> 00:14:11,360 Speaker 1: not and I've had people in the past you know 290 00:14:11,720 --> 00:14:13,520 Speaker 1: what do you mean? I would get in the middle 291 00:14:13,600 --> 00:14:16,840 Speaker 1: and like, yeah, I get that, that's what you want 292 00:14:16,840 --> 00:14:19,320 Speaker 1: to say, because that makes you the hero, and everybody 293 00:14:19,320 --> 00:14:22,200 Speaker 1: wants to be the hero. I think the hero sometimes though, 294 00:14:22,360 --> 00:14:26,640 Speaker 1: is like hey, manager of the store, like, hey cop, right, 295 00:14:26,720 --> 00:14:28,160 Speaker 1: I don't know what's going on, but will you look 296 00:14:28,200 --> 00:14:30,040 Speaker 1: into that because you know how to do this. Me 297 00:14:30,160 --> 00:14:32,000 Speaker 1: on the other hand, before long, I got in the 298 00:14:32,040 --> 00:14:34,360 Speaker 1: middle of I misheard it and then you know what 299 00:14:34,400 --> 00:14:36,080 Speaker 1: I mean? So I don't we need to get John 300 00:14:36,160 --> 00:14:38,720 Speaker 1: Keynons in here, because I'd like to ask him three 301 00:14:38,800 --> 00:14:42,160 Speaker 1: format like what yeah, like, what what do I get 302 00:14:42,160 --> 00:14:44,200 Speaker 1: rewarded if I call the cops if I see something 303 00:14:44,240 --> 00:14:45,960 Speaker 1: I don't like, and what if I'm wrong and I 304 00:14:46,000 --> 00:14:48,640 Speaker 1: called the cops and I'm that guy. It's a very 305 00:14:48,640 --> 00:14:51,040 Speaker 1: stressful situation. It kind of is you're try and do 306 00:14:51,080 --> 00:14:53,080 Speaker 1: the right thing, but I don't know. I see stuff 307 00:14:53,080 --> 00:14:54,640 Speaker 1: every day where I'm like, hmmm. 308 00:14:54,600 --> 00:14:56,800 Speaker 4: No, I stopped flicking people off. I stopped doing all 309 00:14:56,880 --> 00:14:58,960 Speaker 4: kinds of things. You guys know, he's okay now, then, God, 310 00:14:58,960 --> 00:15:01,680 Speaker 4: but my uncle shot at recently during a road breache incident. 311 00:15:01,720 --> 00:15:02,880 Speaker 4: Like people are not. 312 00:15:03,800 --> 00:15:04,360 Speaker 1: That's the thing. 313 00:15:04,440 --> 00:15:05,040 Speaker 4: Ten and two. 314 00:15:05,360 --> 00:15:07,760 Speaker 1: I go ad like, I want to do the right thing. 315 00:15:07,760 --> 00:15:10,080 Speaker 1: I really do, and I certainly don't want to see anybody, 316 00:15:10,200 --> 00:15:12,720 Speaker 1: you know, get into a bad situation. But I'm also 317 00:15:12,960 --> 00:15:15,920 Speaker 1: not really looking to get shot because I'm wrong. 318 00:15:16,000 --> 00:15:18,280 Speaker 5: Oh right, now, you're the cameras first. 319 00:15:18,520 --> 00:15:24,640 Speaker 1: Yeah, but he's always in the in the back break room, 320 00:15:24,680 --> 00:15:26,400 Speaker 1: you know, with all the cameras, so I don't know 321 00:15:26,400 --> 00:15:29,240 Speaker 1: if John Kyas is there. I have to look around, 322 00:15:29,240 --> 00:15:31,280 Speaker 1: like you see something like really bad going down, and 323 00:15:31,280 --> 00:15:33,200 Speaker 1: you have to look to see if they are extra surveillance, 324 00:15:33,200 --> 00:15:35,000 Speaker 1: can like, oh my god, I'm on twenty twenty. Right 325 00:15:35,120 --> 00:15:39,840 Speaker 1: then you're the hero, stop that, right, now what you're 326 00:15:39,880 --> 00:15:44,240 Speaker 1: doing is wrong him? Yeah, you know, and then and 327 00:15:44,280 --> 00:15:45,960 Speaker 1: then sort of like count to three and see if 328 00:15:46,000 --> 00:15:47,640 Speaker 1: John runs out, and if he does it, then start 329 00:15:47,720 --> 00:15:50,000 Speaker 1: the book. It the other way, just kidding out, just 330 00:15:50,240 --> 00:15:52,000 Speaker 1: right right. The biggest stories of the day will do 331 00:15:52,080 --> 00:15:54,200 Speaker 1: him next to the Entertainment Report and blogs this hour, 332 00:15:54,240 --> 00:15:54,800 Speaker 1: what are you working on? 333 00:15:54,880 --> 00:15:57,560 Speaker 4: K people are mad at Beyonce, which I think is 334 00:15:57,600 --> 00:16:00,960 Speaker 4: for a very picky, ridiculous reason. And also I'll tell 335 00:16:00,960 --> 00:16:03,840 Speaker 4: you who fell asleep during a sports match got caught? 336 00:16:03,880 --> 00:16:06,600 Speaker 4: And who has a no phone rule for guests in 337 00:16:06,640 --> 00:16:07,280 Speaker 4: their home? 338 00:16:07,960 --> 00:16:09,280 Speaker 1: Oh, so you go over. 339 00:16:09,200 --> 00:16:10,680 Speaker 4: Their house, you got to give your phone up? 340 00:16:10,800 --> 00:16:13,960 Speaker 1: Okay, waiting by the phone. Why does somebody get ghosted? 341 00:16:14,080 --> 00:16:16,800 Speaker 1: Got that This Morning throwback throw Down name that tune 342 00:16:16,800 --> 00:16:19,040 Speaker 1: Battle show by Shelley in the showdown, one hundred bucks 343 00:16:19,080 --> 00:16:21,760 Speaker 1: is the price because she lost in a long awaited 344 00:16:21,840 --> 00:16:25,200 Speaker 1: tie yesterday, but she's never lost two in a row. 345 00:16:25,320 --> 00:16:29,160 Speaker 1: Bread show is on Fred's Biggest Stories of the day. 346 00:16:29,360 --> 00:16:34,120 Speaker 1: So this is a nightmare. Really, imagine hundreds of oversized 347 00:16:34,160 --> 00:16:37,720 Speaker 1: packages appear on your doorstep and you have no clue why, 348 00:16:37,800 --> 00:16:40,800 Speaker 1: and I mean one hundreds of big packages just showing up. 349 00:16:41,960 --> 00:16:45,280 Speaker 1: Yet the shopping spree is not a shopping spree. You 350 00:16:45,280 --> 00:16:47,240 Speaker 1: didn't order any of this stuff. It's return. So that's 351 00:16:47,280 --> 00:16:50,280 Speaker 1: what happened to a San Jose, California woman. Her frustrating 352 00:16:50,280 --> 00:16:53,440 Speaker 1: scenario is linked to an overseas online seller who appears 353 00:16:53,440 --> 00:16:56,680 Speaker 1: to be violating Amazon's return policy. So this woman is 354 00:16:56,720 --> 00:17:01,960 Speaker 1: confused as to why palettes of things are showing up 355 00:17:01,960 --> 00:17:04,600 Speaker 1: at her front door NonStop at her house, has no 356 00:17:04,640 --> 00:17:06,320 Speaker 1: idea why and what to do with all this stuff. 357 00:17:06,440 --> 00:17:08,960 Speaker 1: Inside each package is a set of full leather car 358 00:17:09,040 --> 00:17:12,720 Speaker 1: seat covers from a Chinese online seller. The online seller's 359 00:17:12,720 --> 00:17:17,760 Speaker 1: Amazon listing advertises the brand as at Kim selling seat 360 00:17:17,760 --> 00:17:20,800 Speaker 1: covers supposedly made to fit various models and makes of 361 00:17:20,880 --> 00:17:23,200 Speaker 1: Sedan's and SUVs. But as you can see from the 362 00:17:23,240 --> 00:17:24,480 Speaker 1: front of her house if you can see it, and 363 00:17:24,600 --> 00:17:26,520 Speaker 1: I can, but you can't because this is the radio. 364 00:17:27,359 --> 00:17:29,919 Speaker 1: In many of these cases, the covers didn't fit, and 365 00:17:29,960 --> 00:17:32,280 Speaker 1: consumers said that they were forced to pay out of 366 00:17:32,280 --> 00:17:35,679 Speaker 1: pockets to return them to the company's return center. But 367 00:17:35,760 --> 00:17:37,679 Speaker 1: it was this woman's home and they just made up 368 00:17:37,680 --> 00:17:41,399 Speaker 1: an address, I guess. And then people start getting mad 369 00:17:41,480 --> 00:17:43,639 Speaker 1: on the comments, like where's my refund. Well, it's cut it. 370 00:17:43,760 --> 00:17:46,639 Speaker 1: At this woman Kay's house, Little Jday know, they're just 371 00:17:46,640 --> 00:17:48,800 Speaker 1: piling up in her garage, in part because the seller 372 00:17:48,840 --> 00:17:51,520 Speaker 1: put her address on their return labels. And then Amazon 373 00:17:51,600 --> 00:17:55,640 Speaker 1: initially says, well, why don't you just, I don't know, 374 00:17:55,880 --> 00:17:58,439 Speaker 1: donate them or something like they weren't they don't want 375 00:17:58,440 --> 00:17:59,720 Speaker 1: anything to do with this. Well, then of course it 376 00:17:59,840 --> 00:18:02,600 Speaker 1: makes the news. The company came and removed all the 377 00:18:02,600 --> 00:18:05,120 Speaker 1: packages on her property and is vound to crack down 378 00:18:05,359 --> 00:18:07,159 Speaker 1: on the practices. But I guess you can do this. 379 00:18:07,280 --> 00:18:10,480 Speaker 1: You can. You know it's some company somewhere in order 380 00:18:10,520 --> 00:18:13,560 Speaker 1: to subscribe to the policies to sell stuff on Amazon, 381 00:18:13,600 --> 00:18:15,360 Speaker 1: they have to do the following things. Well, they can 382 00:18:15,400 --> 00:18:18,040 Speaker 1: just put someone else's address there, I guess, And then 383 00:18:18,359 --> 00:18:20,080 Speaker 1: you've got crates of stuff piling up in front of 384 00:18:20,119 --> 00:18:23,080 Speaker 1: your house. I would go crazy, Yes, you would. 385 00:18:23,400 --> 00:18:24,320 Speaker 5: You would call the police. 386 00:18:24,520 --> 00:18:28,840 Speaker 1: I would call the police. I called What would you do? 387 00:18:29,640 --> 00:18:32,119 Speaker 1: The Tampa Airport is going viral for a sign about 388 00:18:32,160 --> 00:18:35,280 Speaker 1: taking your shoes off. Tampa International Airports having some fun 389 00:18:35,320 --> 00:18:38,040 Speaker 1: after the TSA announced the passengers can keep their shoes 390 00:18:38,119 --> 00:18:40,960 Speaker 1: on while passing through security. Some airports are now doing 391 00:18:41,040 --> 00:18:44,600 Speaker 1: this slowly, I guess, reversing the whole taking your shoes 392 00:18:44,640 --> 00:18:47,600 Speaker 1: off thing. TSA took to social media on Tuesday to 393 00:18:47,600 --> 00:18:49,639 Speaker 1: announce the update. A footnot at the bottom of the 394 00:18:49,680 --> 00:18:52,680 Speaker 1: post says, unless you're wearing crocs, you should take those 395 00:18:52,680 --> 00:18:55,760 Speaker 1: off and throw them away anyway. Followers were quick to comment, 396 00:18:55,840 --> 00:18:59,040 Speaker 1: saying things like crocs where a person's dignity seeps out 397 00:18:59,080 --> 00:19:02,520 Speaker 1: through the hole. The airport's social media accounts are known 398 00:19:02,560 --> 00:19:04,720 Speaker 1: for their humorous and witty content. A lot of the 399 00:19:04,760 --> 00:19:07,359 Speaker 1: TSA councerpt the main TSA count is funny. 400 00:19:07,359 --> 00:19:07,679 Speaker 4: Love it. 401 00:19:08,480 --> 00:19:10,720 Speaker 1: And remember a few months ago or last month, I 402 00:19:10,760 --> 00:19:14,240 Speaker 1: guess it was the Yosemite one of the national parks 403 00:19:14,280 --> 00:19:18,159 Speaker 1: was getting into it as well. So yeah, there are 404 00:19:18,200 --> 00:19:21,520 Speaker 1: some an There are some airports though, where you do 405 00:19:21,600 --> 00:19:23,800 Speaker 1: not have to take your shoes off anymore. But I 406 00:19:23,840 --> 00:19:25,639 Speaker 1: don't know which ones they are, and I don't think 407 00:19:25,680 --> 00:19:29,280 Speaker 1: they've really been formally announced. So you get to figure 408 00:19:29,280 --> 00:19:30,879 Speaker 1: that out when you go and get yelled at, or 409 00:19:30,880 --> 00:19:34,000 Speaker 1: maybe not get yelled at. There's a shark attack alert 410 00:19:34,119 --> 00:19:36,879 Speaker 1: bill that unanimously passed the Senate. I knew nothing about this, 411 00:19:37,000 --> 00:19:40,639 Speaker 1: but members of the US Senate unanimously approved legislation authorizing 412 00:19:40,680 --> 00:19:45,080 Speaker 1: Lulu's Law. The bill, sponsored by an Alabama Republican senator, 413 00:19:45,280 --> 00:19:47,919 Speaker 1: is named after Lulu Gribbin, who was fifteen who suffered 414 00:19:47,920 --> 00:19:50,600 Speaker 1: a serious shark attack last year in the Florida Panhandle. 415 00:19:50,680 --> 00:19:53,119 Speaker 1: Passed in the Senate on Tuesday, the new law directs 416 00:19:53,119 --> 00:19:57,040 Speaker 1: the Federal Communications Commission to issue wireless emergency alerts whenever 417 00:19:57,119 --> 00:20:00,840 Speaker 1: sharks are spotted in coastal waterways. The bill will now 418 00:20:01,040 --> 00:20:03,520 Speaker 1: go to the House for a vote. Major League Baseball 419 00:20:03,560 --> 00:20:06,400 Speaker 1: this is for baseball fans. They plan to use robot 420 00:20:06,600 --> 00:20:11,440 Speaker 1: umpire and technology for ball strike challenges in Tuesday's All 421 00:20:11,480 --> 00:20:14,480 Speaker 1: Star Game in Atlanta. The Commissioner suggested last month that 422 00:20:14,520 --> 00:20:17,520 Speaker 1: the Competition Committee was likely to soon take up whether 423 00:20:17,520 --> 00:20:19,679 Speaker 1: to use it in regular season games as well. The 424 00:20:19,720 --> 00:20:22,399 Speaker 1: system will work as it did during its tryout in 425 00:20:22,440 --> 00:20:25,440 Speaker 1: spring training. A human umpire will make the call as usual. 426 00:20:25,800 --> 00:20:28,679 Speaker 1: Whichever team doesn't like it can appeal to the machinery. 427 00:20:29,080 --> 00:20:31,520 Speaker 1: Each team will have two challenges, with the ability to 428 00:20:31,560 --> 00:20:34,680 Speaker 1: retain them if they're successful. Only a pitcher, catcher, or 429 00:20:34,800 --> 00:20:37,440 Speaker 1: hitter can ask for the challenge, which has to be 430 00:20:37,480 --> 00:20:41,640 Speaker 1: done almost immediately after the pitch AI like this, Well 431 00:20:41,680 --> 00:20:46,160 Speaker 1: you should because some of these some of these oms, 432 00:20:46,240 --> 00:20:48,200 Speaker 1: I don't know what happens that they're having a bad 433 00:20:48,280 --> 00:20:50,119 Speaker 1: day or what, but like they get on a streak 434 00:20:50,160 --> 00:20:52,560 Speaker 1: of making really bad calls over and over again. Well 435 00:20:52,560 --> 00:20:54,720 Speaker 1: that's what keeps us spicy. Like we got to get 436 00:20:54,760 --> 00:20:56,400 Speaker 1: mad at some people being bad at their job. 437 00:20:57,080 --> 00:21:00,000 Speaker 2: You have this robot in here like making real time 438 00:21:00,040 --> 00:21:03,400 Speaker 2: decisions somebody, and. 439 00:21:03,320 --> 00:21:04,840 Speaker 3: It's going to break up like the fights, because you 440 00:21:04,840 --> 00:21:06,199 Speaker 3: know when the fights happen, they have to like they 441 00:21:06,240 --> 00:21:07,000 Speaker 3: kind of get in there right. 442 00:21:07,240 --> 00:21:08,800 Speaker 1: Well, yeah, there's still gonna be an up there. But 443 00:21:08,840 --> 00:21:10,280 Speaker 1: it's just like, I don't know, they got to be 444 00:21:10,280 --> 00:21:12,480 Speaker 1: good at their job because there's a computer watching. 445 00:21:12,280 --> 00:21:15,159 Speaker 2: Us saying, oh, yeah, you're not going anywhere. We're just 446 00:21:15,160 --> 00:21:22,080 Speaker 2: going to get you a robot. You do, don't worry 447 00:21:22,720 --> 00:21:23,760 Speaker 2: justice when the umpires. 448 00:21:24,400 --> 00:21:26,199 Speaker 1: Yeah they're working on a fredday eye right now, but 449 00:21:26,240 --> 00:21:28,880 Speaker 1: don't worry. There's no way to simulate the mental illness 450 00:21:28,880 --> 00:21:30,879 Speaker 1: that I have. So it's I mean, they'll figure it 451 00:21:30,920 --> 00:21:34,320 Speaker 1: out eventually. But you know, if if you think if 452 00:21:34,359 --> 00:21:36,960 Speaker 1: you think my game is predictable, if you think it's 453 00:21:36,960 --> 00:21:38,960 Speaker 1: that simple, just find someone that can match all of 454 00:21:39,000 --> 00:21:44,040 Speaker 1: our voices. Uh uh no plus plus I don't know 455 00:21:44,080 --> 00:21:46,359 Speaker 1: how they're going to simulate screwing with us all the time, 456 00:21:46,960 --> 00:21:48,440 Speaker 1: you know, in order for us to come in here 457 00:21:48,440 --> 00:21:51,200 Speaker 1: disgruntled and messed up and then, you know, and create 458 00:21:51,240 --> 00:21:52,920 Speaker 1: this incredible content. I don't know how they're going to 459 00:21:53,000 --> 00:21:56,880 Speaker 1: do that. I don't think they'll be able to. There's 460 00:21:56,920 --> 00:21:59,920 Speaker 1: a band making waves on Spotify. Have you heard of 461 00:22:00,200 --> 00:22:04,000 Speaker 1: Velvet Sundown. Well, they racked up over a million monthly listeners. 462 00:22:04,080 --> 00:22:06,800 Speaker 1: Kiki has the shirt. But here's the twist. It's not 463 00:22:06,880 --> 00:22:10,879 Speaker 1: even real. It's entirely AI generated from the music to 464 00:22:10,880 --> 00:22:16,080 Speaker 1: the musicians themselves. Their debut album, Floating on Echoes, dropped 465 00:22:16,080 --> 00:22:19,000 Speaker 1: on June fifth, featuring the hit single where is this 466 00:22:19,119 --> 00:22:21,919 Speaker 1: Dust on the Wind? Let me find that for you guys. 467 00:22:22,200 --> 00:22:25,520 Speaker 1: I want to hear dust on the Wind? Go mess 468 00:22:25,560 --> 00:22:30,840 Speaker 1: with my art? Dust on the Wind, Dust on the Wind. 469 00:22:30,920 --> 00:22:33,280 Speaker 1: Let's let's take a listen to this. This is all 470 00:22:33,320 --> 00:22:36,640 Speaker 1: AI and apparently well wait is a song from Kansas 471 00:22:36,640 --> 00:22:40,399 Speaker 1: called Dust on the Wind the Velvet Sundown dust on 472 00:22:40,440 --> 00:22:43,520 Speaker 1: the Wind. Let's see what this is. This is a 473 00:22:43,600 --> 00:22:52,000 Speaker 1: hit and it's on YouTube called bangers Only. Well how 474 00:22:52,000 --> 00:23:01,800 Speaker 1: about that? Okay, so fancy be gun to suspect something 475 00:23:01,880 --> 00:23:05,240 Speaker 1: was off. No life shows, no interviews, dust all in 476 00:23:05,359 --> 00:23:12,280 Speaker 1: the wind, I mean smoking scot sounds like a public. 477 00:23:17,480 --> 00:23:18,240 Speaker 5: The drums roll. 478 00:23:20,640 --> 00:23:25,200 Speaker 1: Tell me, brother, if I heard this, I wouldn't necessary 479 00:23:25,240 --> 00:23:28,880 Speaker 1: if I heard this in like Walgreens, I wouldn't necessarily 480 00:23:28,920 --> 00:23:30,080 Speaker 1: think it wasn't a person. 481 00:23:30,920 --> 00:23:32,200 Speaker 5: It sounds like the Kansas song. 482 00:23:32,400 --> 00:23:34,479 Speaker 6: Like if you're gonna be ai, like, why don't you 483 00:23:34,560 --> 00:23:35,639 Speaker 6: just make something original? 484 00:23:37,440 --> 00:23:39,919 Speaker 1: The most shocking thing that you've ever said was that 485 00:23:39,960 --> 00:23:41,320 Speaker 1: you know a Kansas song? 486 00:23:41,680 --> 00:23:42,879 Speaker 5: Yeah, I'm the Wind? 487 00:23:44,240 --> 00:23:46,880 Speaker 1: How do you know that? And there's a million how 488 00:23:46,880 --> 00:23:48,240 Speaker 1: do you how it's iconic? 489 00:23:49,520 --> 00:23:50,880 Speaker 4: I don't even know if I know that song. 490 00:23:51,040 --> 00:23:54,520 Speaker 1: I'm not certain that I'm a music person, and especially 491 00:23:54,560 --> 00:23:56,640 Speaker 1: an old music person. I'm not sure that I could 492 00:23:56,720 --> 00:23:59,960 Speaker 1: identify that. Here here is Kansas by the Cold White 493 00:24:00,160 --> 00:24:03,120 Speaker 1: trying to play Total Africa. Wait wait, I'm an amazing song. 494 00:24:04,119 --> 00:24:06,520 Speaker 1: Not upsetting about that. Upset about that, but let me 495 00:24:06,560 --> 00:24:12,119 Speaker 1: hear dust on the Wind the song. I cannot believe 496 00:24:12,119 --> 00:24:14,480 Speaker 1: that Jason Brown could identify a Kansas song. 497 00:24:18,440 --> 00:24:19,160 Speaker 4: It's beautiful. 498 00:24:19,600 --> 00:24:21,240 Speaker 1: I mean, I guess I just the same song. 499 00:24:23,720 --> 00:24:25,800 Speaker 4: The wind Smoke. 500 00:24:29,680 --> 00:24:35,200 Speaker 1: It doesn't song Oh I have moment, yes, but. 501 00:24:35,160 --> 00:24:36,840 Speaker 4: I don't know that I know the name or artists. 502 00:24:37,359 --> 00:24:39,680 Speaker 1: It doesn't, but Jason Brown does. 503 00:24:40,520 --> 00:24:41,560 Speaker 4: Jason Kansas. 504 00:24:42,359 --> 00:24:44,040 Speaker 1: He's never seen back to the future, but he can 505 00:24:44,080 --> 00:24:47,879 Speaker 1: identify Kansas song anyway, So fans were like, I guess 506 00:24:47,880 --> 00:24:51,400 Speaker 1: no one said, which maybe was the point. No one said. 507 00:24:51,440 --> 00:24:54,359 Speaker 1: The Velvet Sundown is not actually a real They're not 508 00:24:54,400 --> 00:24:57,439 Speaker 1: real people. It's not real anything. But people were like, 509 00:24:57,440 --> 00:25:00,360 Speaker 1: wait a minute. You know the band picture that banned 510 00:25:00,400 --> 00:25:02,520 Speaker 1: pictures for these non people, and they were like this, 511 00:25:02,960 --> 00:25:06,600 Speaker 1: why is the guitarist hand fused together? Like what's going on? 512 00:25:06,960 --> 00:25:10,359 Speaker 1: The Velvet Sundown confirm the truth in their Spotify bio. 513 00:25:10,440 --> 00:25:15,119 Speaker 1: I don't know who they are, right. It's anesthetic music 514 00:25:15,200 --> 00:25:18,760 Speaker 1: project with minimal human oversight, calling it an artistic provocation 515 00:25:19,280 --> 00:25:23,000 Speaker 1: about authorship and identity in the AI era. Critics said 516 00:25:23,040 --> 00:25:25,280 Speaker 1: the music sounds generic and soul list, but it fits 517 00:25:25,280 --> 00:25:28,320 Speaker 1: perfectly as background playlist and relaxing tunes. The project raises 518 00:25:28,359 --> 00:25:31,240 Speaker 1: big questions how many AI generated tracks slipping into our 519 00:25:31,320 --> 00:25:34,720 Speaker 1: daily playlists, platforms label them, and what does this mean 520 00:25:34,920 --> 00:25:37,920 Speaker 1: for real artists trying to earn a living Now I'm 521 00:25:37,920 --> 00:25:41,119 Speaker 1: not suggesting that I know anything, because I don't, but no, 522 00:25:41,200 --> 00:25:44,040 Speaker 1: I remember well about this at least. But imagine if 523 00:25:44,040 --> 00:25:45,879 Speaker 1: we have a real life Milli Vanilli on our hands 524 00:25:45,920 --> 00:25:48,760 Speaker 1: right now, and we're a social experiment. Like I don't 525 00:25:48,760 --> 00:25:51,120 Speaker 1: even want to say an artist's name to start the rumors, 526 00:25:51,400 --> 00:25:54,399 Speaker 1: but let's just say that someone who we consider to 527 00:25:54,440 --> 00:25:57,479 Speaker 1: be wildly famous is maybe he is a real person, 528 00:25:57,560 --> 00:26:00,520 Speaker 1: but nothing that we're hearing is real. It's all been 529 00:26:00,600 --> 00:26:03,479 Speaker 1: generated by AI. And you know what I mean, Like, 530 00:26:03,560 --> 00:26:07,359 Speaker 1: what can you imagine? And then are we mad about it? Like? 531 00:26:07,640 --> 00:26:09,919 Speaker 1: Are we mad that we find out that the presenter 532 00:26:10,200 --> 00:26:13,480 Speaker 1: and it doesn't match the creation? But yet they've been 533 00:26:13,480 --> 00:26:16,680 Speaker 1: presenting it in a convincing way and we enjoy the product. 534 00:26:17,119 --> 00:26:18,639 Speaker 1: So are you gonna like? And again, I don't really 535 00:26:18,680 --> 00:26:20,359 Speaker 1: want to make this up, but let's just say, Gracie 536 00:26:20,400 --> 00:26:23,520 Speaker 1: Abrams is AI. I'm not saying yes, rights see, this 537 00:26:23,560 --> 00:26:25,680 Speaker 1: is why, this is why pick somebody. 538 00:26:25,680 --> 00:26:30,560 Speaker 7: I don't care Sabrina Carmon to pick anybody, right, anybody. 539 00:26:30,040 --> 00:26:33,080 Speaker 1: Want pick anybody. I'm not suggesting that they are, but 540 00:26:33,160 --> 00:26:35,640 Speaker 1: I mean, let's say, you know, for for a year 541 00:26:35,800 --> 00:26:39,399 Speaker 1: or so, everyone thought Millie Vanilli was these two brothers, 542 00:26:39,480 --> 00:26:41,240 Speaker 1: and it turns out or whatever they who they were, 543 00:26:41,440 --> 00:26:44,320 Speaker 1: turns out it was it was another guy completely. Someone 544 00:26:44,400 --> 00:26:48,280 Speaker 1: else was singing. They were performing. Their image sold the music, 545 00:26:49,040 --> 00:26:50,960 Speaker 1: so people were into the music, they were into the 546 00:26:50,960 --> 00:26:52,720 Speaker 1: image of the two guys. I guess the reason that 547 00:26:52,720 --> 00:26:54,439 Speaker 1: they picked the two guys to be Millie Vanilly was 548 00:26:54,440 --> 00:26:56,640 Speaker 1: because the guy who actually sang the song wasn't really 549 00:26:56,720 --> 00:26:59,240 Speaker 1: that sexy, so they picked these two guys they thought 550 00:26:59,280 --> 00:27:02,680 Speaker 1: were sexy. So the all three combined made this thing 551 00:27:02,720 --> 00:27:04,720 Speaker 1: that people were really into until they found out that 552 00:27:04,720 --> 00:27:06,360 Speaker 1: it was fake, and then they got mad about it. 553 00:27:06,600 --> 00:27:08,240 Speaker 1: But what if we were to find out that someone 554 00:27:08,240 --> 00:27:10,800 Speaker 1: that we really love right now is not has nothing 555 00:27:10,840 --> 00:27:13,600 Speaker 1: to do with the production of the music, Are we mad? 556 00:27:13,680 --> 00:27:14,280 Speaker 1: Are we mad? 557 00:27:14,480 --> 00:27:14,640 Speaker 6: Yes? 558 00:27:15,320 --> 00:27:16,800 Speaker 1: Or are we like? Wait a minute, but I like 559 00:27:16,840 --> 00:27:19,000 Speaker 1: the music and I like the image, so I like 560 00:27:19,080 --> 00:27:20,600 Speaker 1: the package, so I'm fine. 561 00:27:21,160 --> 00:27:23,879 Speaker 4: Oh yeah, all this just seems so unnecessary, Like I 562 00:27:23,920 --> 00:27:25,880 Speaker 4: get it, okay, people are using AI to make things 563 00:27:25,880 --> 00:27:29,560 Speaker 4: more efficient, your life easier, but like we already have musicians, 564 00:27:30,040 --> 00:27:32,320 Speaker 4: Why like, why are we making fake music? We have 565 00:27:32,400 --> 00:27:33,400 Speaker 4: songs that way, But if you. 566 00:27:33,440 --> 00:27:37,520 Speaker 1: Found out that you liked fake music, then is there 567 00:27:37,560 --> 00:27:38,680 Speaker 1: anything to be upset about. 568 00:27:39,080 --> 00:27:41,439 Speaker 4: I yeah, I would be upset because I feel a 569 00:27:41,480 --> 00:27:43,879 Speaker 4: deep connection to music, like I got chills for music, 570 00:27:43,920 --> 00:27:44,479 Speaker 4: So yeah. 571 00:27:44,760 --> 00:27:46,840 Speaker 1: But you could also make the argument then, in the 572 00:27:46,920 --> 00:27:49,800 Speaker 1: last twenty years, a lot of music that we listen 573 00:27:49,880 --> 00:27:52,600 Speaker 1: to is not as it seems. The person may have 574 00:27:52,720 --> 00:27:55,000 Speaker 1: sung it or someone may have written it, but it 575 00:27:55,080 --> 00:27:57,840 Speaker 1: went through a computer and it was filtered and processed 576 00:27:57,880 --> 00:28:02,159 Speaker 1: and auto tuned. Songs that we love, like songs that 577 00:28:02,200 --> 00:28:05,720 Speaker 1: are considered like classic pop songs, we've later learned that 578 00:28:05,760 --> 00:28:08,679 Speaker 1: the person sounds like me, but it comes out sounding 579 00:28:08,720 --> 00:28:09,560 Speaker 1: like Britney Spears. 580 00:28:09,680 --> 00:28:11,480 Speaker 6: That's I was gonna say. I'm mad at what they're 581 00:28:11,480 --> 00:28:13,560 Speaker 6: doing to Britney Spears because any music that she has 582 00:28:13,640 --> 00:28:16,040 Speaker 6: let out in the last I'll say ten years is 583 00:28:16,080 --> 00:28:17,840 Speaker 6: not her and she is not aware that it is her. 584 00:28:17,920 --> 00:28:21,200 Speaker 6: They are using old stems, they're using old vocals and 585 00:28:21,240 --> 00:28:23,640 Speaker 6: like running them through and I'm mad about that. 586 00:28:23,640 --> 00:28:25,400 Speaker 5: That upsets me as a fan. 587 00:28:25,560 --> 00:28:28,760 Speaker 1: But if you liked the song, then I guess I 588 00:28:28,840 --> 00:28:30,600 Speaker 1: wonder like if you if you liked the song for 589 00:28:30,640 --> 00:28:32,240 Speaker 1: a year and then somebody comes down and goes hey, 590 00:28:32,240 --> 00:28:36,600 Speaker 1: by the way, that was all fake? Do you now? 591 00:28:37,200 --> 00:28:39,240 Speaker 1: How do you? How do you take back the liking 592 00:28:39,280 --> 00:28:40,040 Speaker 1: of the song. 593 00:28:39,840 --> 00:28:42,400 Speaker 5: That you can't? You have to, I would stop supporting. 594 00:28:42,560 --> 00:28:43,160 Speaker 5: Thank you? 595 00:28:43,200 --> 00:28:45,680 Speaker 2: Okay, I say we turn off all the music tracks 596 00:28:45,680 --> 00:28:48,240 Speaker 2: at jingle Ball and make everybody singing a cappella calls. 597 00:28:54,800 --> 00:28:57,280 Speaker 6: You can sing the lineup yet, but it's not gonna 598 00:28:57,280 --> 00:28:58,560 Speaker 6: have a buy your ticket. 599 00:29:01,400 --> 00:29:03,760 Speaker 1: I promise we won't do that. Buy your tickets now. 600 00:29:06,760 --> 00:29:09,200 Speaker 2: So mad like if Teddy Swims, I think that man, 601 00:29:09,960 --> 00:29:10,720 Speaker 2: oh no. 602 00:29:10,440 --> 00:29:12,080 Speaker 1: No, that dude. That would be really. 603 00:29:11,920 --> 00:29:13,160 Speaker 4: Sing because I'm so soul full. 604 00:29:13,280 --> 00:29:15,680 Speaker 2: But I would be so mad if it was fake. Yeah, 605 00:29:15,800 --> 00:29:18,479 Speaker 2: of course I needn't. Every artist needs to be tested. 606 00:29:19,360 --> 00:29:20,960 Speaker 1: When I met Teddy Swims the first time, though, I 607 00:29:20,960 --> 00:29:22,360 Speaker 1: did say that to him, I said, dude, I gotta 608 00:29:22,400 --> 00:29:24,560 Speaker 1: be honest with you. Man. I heard your music for 609 00:29:24,680 --> 00:29:27,480 Speaker 1: months before I saw that it was you. And the 610 00:29:27,520 --> 00:29:29,560 Speaker 1: funny thing is he has a huge security A very 611 00:29:29,680 --> 00:29:32,040 Speaker 1: large black man is a security guard. Where a cowboy 612 00:29:32,080 --> 00:29:34,760 Speaker 1: had the two of them sitting next to each other. 613 00:29:34,760 --> 00:29:37,120 Speaker 1: If I didn't know better, I wouldn't know which I mean. 614 00:29:37,200 --> 00:29:39,480 Speaker 1: I would know that Teddy wasn't the security guard. But 615 00:29:39,520 --> 00:29:41,960 Speaker 1: I would also and the security guard laughed because he 616 00:29:42,000 --> 00:29:43,360 Speaker 1: was like, oh yeah, we get this all the time, 617 00:29:43,800 --> 00:29:46,560 Speaker 1: like he's got a very soulful voice. That's not the 618 00:29:46,600 --> 00:29:49,440 Speaker 1: package that I thought, But that happened, you know, from 619 00:29:49,480 --> 00:29:52,000 Speaker 1: time and time, things got ugly. On a recent flight 620 00:29:52,040 --> 00:29:53,959 Speaker 1: when a woman I was just talking about this who 621 00:29:54,000 --> 00:29:56,440 Speaker 1: says she's a lawyer, Not sure why that's important, try 622 00:29:56,480 --> 00:29:58,200 Speaker 1: to skip the line to get off the plane before 623 00:29:58,240 --> 00:30:00,880 Speaker 1: everybody else. Other passages when that having it and it 624 00:30:00,880 --> 00:30:03,880 Speaker 1: became a huge shouting match. She told people to just 625 00:30:03,920 --> 00:30:06,840 Speaker 1: deal with it, while someone called her a Karen. Then 626 00:30:06,880 --> 00:30:09,800 Speaker 1: it got even messier John Quinonees, but I didn't. She 627 00:30:09,840 --> 00:30:12,520 Speaker 1: accused another passenger of being racist for making fun of 628 00:30:12,520 --> 00:30:14,480 Speaker 1: her accent. The drama, complete with the crying baby in 629 00:30:14,520 --> 00:30:17,080 Speaker 1: the background, was all caught on video and posted a TikTok. 630 00:30:17,080 --> 00:30:19,640 Speaker 1: It's now gone viral, with thousands weighing in online. Some 631 00:30:19,680 --> 00:30:21,600 Speaker 1: say that she was rude, Others say she held her 632 00:30:21,640 --> 00:30:24,920 Speaker 1: own again. If you are in row thirty, you don't 633 00:30:24,920 --> 00:30:28,320 Speaker 1: get off before road twenty five. You don't unless people 634 00:30:28,360 --> 00:30:31,200 Speaker 1: are sitting there waiting for another flight. If they're like, 635 00:30:31,240 --> 00:30:34,160 Speaker 1: if you're on another flight, you know, if you're on 636 00:30:34,200 --> 00:30:36,239 Speaker 1: this plane going to Toledo. Then I don't know why 637 00:30:36,240 --> 00:30:37,800 Speaker 1: I always pick on Toledo. But if you're on this 638 00:30:37,800 --> 00:30:40,680 Speaker 1: plane going to Wichita, then you sit here and then 639 00:30:40,720 --> 00:30:43,840 Speaker 1: everyone else gets off. Well that's one thing. But or 640 00:30:43,880 --> 00:30:47,120 Speaker 1: if it's hey, sometimes you'll pull to the gate and 641 00:30:47,160 --> 00:30:49,160 Speaker 1: they'll be like, hey, a lot of tight connections. If 642 00:30:49,200 --> 00:30:51,239 Speaker 1: you have a very tight connection, then you know, let 643 00:30:51,280 --> 00:30:53,720 Speaker 1: everybody on the connection get off first, which half the 644 00:30:53,720 --> 00:30:58,120 Speaker 1: people don't do anyway, But but you don't. I'm not 645 00:30:58,120 --> 00:31:00,160 Speaker 1: going to go on this rant again. But we go, 646 00:31:00,880 --> 00:31:03,680 Speaker 1: we go one, two, three, four in order, and we 647 00:31:03,720 --> 00:31:07,240 Speaker 1: go every other. As Caitlin mentioned yesterday, that's how we 648 00:31:07,240 --> 00:31:09,440 Speaker 1: get off a plane. That's the that should be the 649 00:31:09,520 --> 00:31:10,520 Speaker 1: international standard. 650 00:31:10,600 --> 00:31:12,760 Speaker 4: Yes, have some manners, thank you, they see it. I'm 651 00:31:12,800 --> 00:31:14,880 Speaker 4: an aisle, I say, seated to set the precedent for 652 00:31:14,920 --> 00:31:17,720 Speaker 4: the other people next to me. We're not standing. We're 653 00:31:17,760 --> 00:31:19,360 Speaker 4: seated and we're waiting our turn. 654 00:31:19,720 --> 00:31:20,560 Speaker 1: It's got to be order. 655 00:31:20,920 --> 00:31:22,920 Speaker 2: I have to sell nervous if you're sitting on the 656 00:31:22,960 --> 00:31:25,720 Speaker 2: aisle and then the people inside of your they stand 657 00:31:25,800 --> 00:31:27,280 Speaker 2: up and I'm like waiting for it and I'm not 658 00:31:27,280 --> 00:31:27,840 Speaker 2: even standing. 659 00:31:28,400 --> 00:31:31,280 Speaker 1: Go for it. I told you now, your booty in 660 00:31:31,320 --> 00:31:36,200 Speaker 1: our face. There is such a we live in a society. 661 00:31:36,760 --> 00:31:40,000 Speaker 1: It's National Pina Kalada Day, National Kitten Day, and Chronic 662 00:31:40,080 --> 00:31:43,000 Speaker 1: Disease Day to educate and advocate for people who live 663 00:31:43,040 --> 00:31:45,280 Speaker 1: with chronic health conditions every day. Be careful as we 664 00:31:45,640 --> 00:31:48,000 Speaker 1: you know, as we share our excitement for each day. 665 00:31:48,040 --> 00:31:51,080 Speaker 1: Because they don't always go in the right they don't always. 666 00:31:52,080 --> 00:31:54,920 Speaker 1: We're happy to say no, they don't. It is on The. 667 00:31:54,920 --> 00:31:58,040 Speaker 4: Fresh show Man, Everybody's Still mad. During one of our 668 00:31:58,040 --> 00:32:01,960 Speaker 4: shows in Maryland, Beyonce was wearing a white jumpsuit, very 669 00:32:01,960 --> 00:32:04,840 Speaker 4: cute with white gloves and very long red, white and 670 00:32:04,840 --> 00:32:08,440 Speaker 4: blue fringe coming off the arms. Sounds adorable, right, Well, 671 00:32:08,880 --> 00:32:10,920 Speaker 4: lots of people on the Internet are pointing out that 672 00:32:10,960 --> 00:32:14,360 Speaker 4: the fringe somehow looks like the Russian flag. I don't know. 673 00:32:14,480 --> 00:32:17,200 Speaker 4: I never thought that. She took some heat on social 674 00:32:17,240 --> 00:32:19,880 Speaker 4: with one writing imagine the amount of prepetakes to make 675 00:32:20,080 --> 00:32:23,600 Speaker 4: a Beyonce concert costume, how many approvals by B and Co. 676 00:32:24,120 --> 00:32:26,240 Speaker 4: Had to be made each step of the way, and 677 00:32:26,280 --> 00:32:28,520 Speaker 4: all of them saw this spit and at one thought, hey, 678 00:32:28,560 --> 00:32:31,280 Speaker 4: this looks like the Russian flag, which in the current 679 00:32:31,320 --> 00:32:35,440 Speaker 4: political context won't look good, guys. The fringe is red, 680 00:32:35,480 --> 00:32:38,960 Speaker 4: white and blue. She's on a country tour. Everything is 681 00:32:39,120 --> 00:32:42,680 Speaker 4: American inspired. I don't think she was trying to secretly 682 00:32:42,840 --> 00:32:48,560 Speaker 4: side with Rosshia during her country concert. Can we not? 683 00:32:50,040 --> 00:32:53,200 Speaker 4: Can we not? I'm so tired, reaching so far we 684 00:32:53,240 --> 00:32:56,640 Speaker 4: are reading. Yes, it's it's red white. All of her 685 00:32:56,640 --> 00:33:00,400 Speaker 4: tour costumes are denim and American inspired. Yes, the Russian 686 00:33:00,400 --> 00:33:05,280 Speaker 4: flag has similar colors. I don't think Beyonce's secretly on. 687 00:33:07,360 --> 00:33:07,840 Speaker 1: What I think. 688 00:33:08,840 --> 00:33:14,000 Speaker 4: I'm just I'm just really exhausted. Uh, girl, I don't know, 689 00:33:14,040 --> 00:33:17,240 Speaker 4: but I'm tired. George Cooney's wife is also tired. Amal 690 00:33:17,320 --> 00:33:20,800 Speaker 4: has introduced a strict no phone policy at their home. 691 00:33:20,880 --> 00:33:24,640 Speaker 4: Guest visiting their UK home, specifically, I guess are asked 692 00:33:24,680 --> 00:33:26,800 Speaker 4: to drop their phones into this basket at the door, 693 00:33:26,840 --> 00:33:28,880 Speaker 4: and there are no exceptions, no matter who you are. 694 00:33:29,120 --> 00:33:31,840 Speaker 4: She shared with Glamour magazine that the policy helps create 695 00:33:32,160 --> 00:33:35,840 Speaker 4: private moments and spaces, allowing honest conversations and also protecting 696 00:33:35,840 --> 00:33:38,600 Speaker 4: their families privacy. Since becoming a parent to eight year 697 00:33:38,600 --> 00:33:42,520 Speaker 4: old twins Ella and Alexander, she's become especially vigilant, noting 698 00:33:42,920 --> 00:33:45,600 Speaker 4: that they've never shared photos of their kids online. George 699 00:33:45,640 --> 00:33:48,640 Speaker 4: also agrees he's even asked the media to leave their 700 00:33:48,640 --> 00:33:51,040 Speaker 4: twins alone, saying he wants them to live a normal life, 701 00:33:51,280 --> 00:33:54,560 Speaker 4: not one shaped by fame. Which you know, it sounds annoying, 702 00:33:54,560 --> 00:33:56,720 Speaker 4: like you want to check Instagram or whatever, but I 703 00:33:56,720 --> 00:33:59,200 Speaker 4: don't know when you're with people, I'm I'm okay with it. 704 00:33:59,200 --> 00:34:00,640 Speaker 4: I get why they would want to do that and 705 00:34:00,720 --> 00:34:04,600 Speaker 4: not have anything leak. So I don't know, but maybe 706 00:34:04,600 --> 00:34:06,360 Speaker 4: some people would have an issue. Kee, would you would 707 00:34:06,360 --> 00:34:07,080 Speaker 4: you drop a photo? 708 00:34:07,240 --> 00:34:07,520 Speaker 1: Okay? 709 00:34:07,600 --> 00:34:10,000 Speaker 2: My aunt does this as she like, we're not allowed 710 00:34:10,040 --> 00:34:11,480 Speaker 2: to be on our phone when we're visiting. 711 00:34:11,640 --> 00:34:16,440 Speaker 4: So I haven't seen her in months, but I'm not 712 00:34:16,440 --> 00:34:18,280 Speaker 4: gonna be visiting her anymore. 713 00:34:19,480 --> 00:34:20,920 Speaker 1: Sad. It's sad, but she can't be a part of 714 00:34:20,920 --> 00:34:21,600 Speaker 1: my life anymore. 715 00:34:21,680 --> 00:34:24,360 Speaker 4: Yeah, she has a good, good intent. But and lastlie 716 00:34:24,400 --> 00:34:26,960 Speaker 4: real quick you Grant was a little sleepy while he 717 00:34:27,040 --> 00:34:30,200 Speaker 4: was attending a Wimbledon match. Because he was seen yesterday 718 00:34:30,239 --> 00:34:33,160 Speaker 4: slumped in his chair alongside his wife in London during 719 00:34:33,200 --> 00:34:36,200 Speaker 4: a men's singles game. Photos are now of course going 720 00:34:36,280 --> 00:34:39,320 Speaker 4: viral like he's truly sleeping sitting up, turning into memes 721 00:34:39,400 --> 00:34:42,160 Speaker 4: left and right, his afternoon nap drew even more attention 722 00:34:42,239 --> 00:34:45,200 Speaker 4: because Queen Camilla was seated right in front of him 723 00:34:45,320 --> 00:34:47,640 Speaker 4: at the Royal Box section, so of course you're going 724 00:34:47,719 --> 00:34:49,640 Speaker 4: to have all eyes on you. But yeah, he was 725 00:34:49,680 --> 00:34:51,279 Speaker 4: tired and his wife didn't wake him up. 726 00:34:51,320 --> 00:34:54,600 Speaker 1: So that Wimbledon is like a it would be cool 727 00:34:54,640 --> 00:34:56,719 Speaker 1: to go, you know, I got gain. It's an honor 728 00:34:56,760 --> 00:34:58,359 Speaker 1: to be in that section and the whole thing. We 729 00:34:58,480 --> 00:35:01,040 Speaker 1: got to wear a suit in the summer, outside in 730 00:35:01,080 --> 00:35:05,400 Speaker 1: the sun to watch people like tennis. Like I don't. 731 00:35:06,000 --> 00:35:08,440 Speaker 1: I'd love to go. I'm not wearing a black suit 732 00:35:09,320 --> 00:35:13,600 Speaker 1: to go. I thought maybe he was dead, like dehydrated 733 00:35:13,719 --> 00:35:17,080 Speaker 1: or something. I don't know. I don't know that I 734 00:35:17,120 --> 00:35:18,680 Speaker 1: could rest in those conditions. 735 00:35:18,960 --> 00:35:21,200 Speaker 4: Rest. No, I don't often feel sorry for mine, but 736 00:35:21,239 --> 00:35:22,640 Speaker 4: I do feel bad for you guys in suits in 737 00:35:22,680 --> 00:35:23,080 Speaker 4: the summer. 738 00:35:23,280 --> 00:35:24,640 Speaker 1: That doesn't seem like a great deal. 739 00:35:24,840 --> 00:35:27,960 Speaker 4: No, So he was a little tired or dehydrated. I 740 00:35:27,960 --> 00:35:31,120 Speaker 4: don't know, maybe he passed out. If you want to 741 00:35:31,200 --> 00:35:34,160 Speaker 4: elevate your listening experience, by the way, we are going 742 00:35:34,200 --> 00:35:37,040 Speaker 4: live on YouTube, so you can find our page Fred 743 00:35:37,040 --> 00:35:39,759 Speaker 4: Show Radio, you can subscribe and then you can see 744 00:35:39,800 --> 00:35:41,960 Speaker 4: our little faces as we talk, which I'm sure you're 745 00:35:42,040 --> 00:35:42,440 Speaker 4: dying to do. 746 00:35:42,680 --> 00:35:45,319 Speaker 1: Questionable if it really elevates the experience. But but I'll 747 00:35:45,320 --> 00:35:47,720 Speaker 1: take you the production values high it is. Oh yeah, 748 00:35:47,800 --> 00:35:50,600 Speaker 1: we got like a little like a little TV show 749 00:35:50,640 --> 00:35:52,600 Speaker 1: over here with our director Kiki. 750 00:35:52,680 --> 00:35:54,600 Speaker 4: Yeah, we're going to be recording little videos that you 751 00:35:54,600 --> 00:35:56,920 Speaker 4: can watch, like while we can't play certain things. 752 00:35:57,400 --> 00:35:59,480 Speaker 1: Yeah. So apparently we don't have the licensing rights to 753 00:35:59,480 --> 00:36:03,000 Speaker 1: play the music yeah on the tube and then half 754 00:36:03,040 --> 00:36:05,960 Speaker 1: of our bitch somehow, because I have no I don't 755 00:36:05,960 --> 00:36:12,000 Speaker 1: get it. But anyway, some parts of the sus portions 756 00:36:12,040 --> 00:36:14,480 Speaker 1: of the broadcast are available on YouTube always on the 757 00:36:14,520 --> 00:36:16,840 Speaker 1: iHeart app, except not on the on demand content. We 758 00:36:17,200 --> 00:36:19,799 Speaker 1: also don't have the licensing rights for that. I have 759 00:36:19,920 --> 00:36:23,080 Speaker 1: no who pays? What are we paying for? Because it's 760 00:36:23,080 --> 00:36:26,280 Speaker 1: none of us. 761 00:36:26,960 --> 00:36:31,480 Speaker 8: Honestly, it's never been more important to listen to the broadcast. Okay, 762 00:36:32,560 --> 00:36:42,719 Speaker 8: Jesus Lord gosh darn it, I'm working on that. That 763 00:36:42,840 --> 00:36:48,040 Speaker 8: fleeting comment, let's come back waiting by the phone. Why 764 00:36:48,080 --> 00:36:49,400 Speaker 8: does somebody get ghosted blogs? 765 00:36:49,400 --> 00:36:51,399 Speaker 1: I wanted, I wanted to get to it this hour, 766 00:36:51,440 --> 00:36:54,360 Speaker 1: but I want to hear about the group chat drama 767 00:36:54,400 --> 00:36:55,919 Speaker 1: that that's going on in Kaitlin's life. 768 00:36:55,960 --> 00:36:59,800 Speaker 4: Oh yeah, yeah, I mean it's it's I don't know 769 00:36:59,800 --> 00:37:02,080 Speaker 4: if a drama or I'm too sensitive, which is probably 770 00:37:02,840 --> 00:37:05,120 Speaker 4: I'm too sensitive if I. 771 00:37:05,040 --> 00:37:09,400 Speaker 1: Had to choose. We'll find out next day. More Fred 772 00:37:09,440 --> 00:37:10,439 Speaker 1: Show next