1 00:00:00,120 --> 00:00:02,599 Speaker 1: This is the Bread Show. Kelly Clark City is returning 2 00:00:02,600 --> 00:00:04,960 Speaker 1: to Las Vegas in twenty twenty six for her studio 3 00:00:05,120 --> 00:00:09,079 Speaker 1: Sessions Las Vegas Residency. You can enter now for a 4 00:00:09,200 --> 00:00:11,080 Speaker 1: chance to win a trip for two to the July 5 00:00:11,200 --> 00:00:14,560 Speaker 1: twenty fourth show, a two night hotel state at Flamingo 6 00:00:14,600 --> 00:00:16,960 Speaker 1: Hotel and Casino in Las Vegas July twenty third through 7 00:00:16,960 --> 00:00:20,799 Speaker 1: the twenty fifth and round trip airfare. Text Kelly to 8 00:00:21,120 --> 00:00:24,160 Speaker 1: five seven, seven three nine right now for a chance 9 00:00:24,200 --> 00:00:26,880 Speaker 1: to win. A confirmation text will be sent. Standard message 10 00:00:26,920 --> 00:00:29,560 Speaker 1: and data rates may apply. All thanks to Live Nation 11 00:00:29,840 --> 00:00:33,120 Speaker 1: Friend's Biggest Stories of the day. The Bad Bunny Halftime 12 00:00:33,200 --> 00:00:36,040 Speaker 1: Show a record breaking one hundred and thirty three and 13 00:00:36,040 --> 00:00:38,920 Speaker 1: a half million estimated viewers, making it the most watched 14 00:00:38,920 --> 00:00:41,960 Speaker 1: Super Bowl performance in history. And just in case you 15 00:00:42,000 --> 00:00:45,680 Speaker 1: did watch the Turning Point Alternative collucton at about five million, 16 00:00:45,920 --> 00:00:49,920 Speaker 1: which I think that, in fairness is the most watched 17 00:00:49,960 --> 00:00:54,560 Speaker 1: counter programmed Super Bowl halftime show. Doesn't Hendricks still have 18 00:00:54,840 --> 00:00:57,600 Speaker 1: the most though? I don't know. This says record break, Yeah, 19 00:00:57,600 --> 00:01:00,320 Speaker 1: I think he I think came in second. Yeah, it 20 00:01:00,320 --> 00:01:03,279 Speaker 1: says just behind the okay god it okay. Yeah, one 21 00:01:03,360 --> 00:01:08,040 Speaker 1: hundred and thirty three point five million. Amazing. That's so cool. Hey, 22 00:01:10,240 --> 00:01:12,399 Speaker 1: oh he was doing her full makeup face right now, 23 00:01:12,400 --> 00:01:14,640 Speaker 1: and I just found it a little distracting. I look 24 00:01:14,720 --> 00:01:16,760 Speaker 1: over and there it's just a brush. What was she doing? 25 00:01:16,880 --> 00:01:18,920 Speaker 1: Do you know? I was doing the brush? It was 26 00:01:18,959 --> 00:01:22,800 Speaker 1: the brushing, like it was it bro was that what 27 00:01:22,840 --> 00:01:25,200 Speaker 1: it was? It was a brush? It was allmacious. She's 28 00:01:25,200 --> 00:01:27,479 Speaker 1: so small I can barely see a waxing strip out 29 00:01:27,640 --> 00:01:30,679 Speaker 1: like this is weird. Biatch. That was so crazy. She's 30 00:01:30,680 --> 00:01:33,240 Speaker 1: literally done everything here. I know, no, I know, I 31 00:01:33,319 --> 00:01:34,840 Speaker 1: was just I'm like, what is the movement over here 32 00:01:34,840 --> 00:01:37,040 Speaker 1: in the corner of my my peripheral vision. I'm sorry, 33 00:01:37,040 --> 00:01:39,160 Speaker 1: we're all getting our toes done later? Do you want 34 00:01:39,319 --> 00:01:41,440 Speaker 1: like we No, no, no, it's imperative. We just wait 35 00:01:41,480 --> 00:01:43,480 Speaker 1: till the MIC's turn on and then do it. Well, yeah, 36 00:01:43,520 --> 00:01:46,640 Speaker 1: we have a lady coming to it. Welcome. Yeah. Why 37 00:01:46,640 --> 00:01:49,600 Speaker 1: would we do anything during a break? We can multi 38 00:01:49,640 --> 00:01:53,960 Speaker 1: test apparently anyway. No, you don't have to apology. I 39 00:01:53,960 --> 00:01:55,520 Speaker 1: just look on what when you look at me? I 40 00:01:55,560 --> 00:01:58,320 Speaker 1: just want you to be happy. Well I am, I am. 41 00:01:58,360 --> 00:02:00,760 Speaker 1: I am happy with what I see. Why makeups? I 42 00:02:00,760 --> 00:02:04,280 Speaker 1: thought I thought the airbrush machine was a little aggressive. 43 00:02:04,320 --> 00:02:10,079 Speaker 1: I'm like, what is that air compressor? Yeah, just spraying it. Yeah, 44 00:02:11,040 --> 00:02:13,560 Speaker 1: which you did bring a blow dryer in here in 45 00:02:13,639 --> 00:02:16,919 Speaker 1: a curling iron and yeah, no, it's fine. A little 46 00:02:16,919 --> 00:02:20,280 Speaker 1: beauty studio here on the radio. Yeah, I don't know 47 00:02:20,280 --> 00:02:22,480 Speaker 1: how many I read somewhere, it was like two or 48 00:02:22,520 --> 00:02:25,400 Speaker 1: three times. If someone's actually tried to actively counter program 49 00:02:25,480 --> 00:02:27,600 Speaker 1: the Super Bowl halftime show, and Living Color did it 50 00:02:27,639 --> 00:02:31,799 Speaker 1: one time in the nineties, like an actually, hey, everyone 51 00:02:31,840 --> 00:02:34,040 Speaker 1: watched this instead, and I think that was like two 52 00:02:34,120 --> 00:02:36,600 Speaker 1: million people, but one hundred and thirty three million weren't 53 00:02:36,639 --> 00:02:38,320 Speaker 1: watching at the time, but it was still very small 54 00:02:38,400 --> 00:02:41,720 Speaker 1: number in comparison. Like if I had any other TV station, 55 00:02:42,480 --> 00:02:44,360 Speaker 1: then I would just I would just go off the 56 00:02:44,360 --> 00:02:46,800 Speaker 1: air during the Super Bowl. I wouldn even bother Yeah, 57 00:02:46,800 --> 00:02:49,680 Speaker 1: like I'm not putting any It's like if my album 58 00:02:49,680 --> 00:02:51,639 Speaker 1: comes out the same day as Taylor Swift, like we're 59 00:02:51,680 --> 00:02:54,160 Speaker 1: just not like I'm just we're gonna do it next week. 60 00:02:54,240 --> 00:02:57,160 Speaker 1: Like I'm just you know, if I if they were 61 00:02:57,160 --> 00:02:58,800 Speaker 1: like Fred, you can have a TV show and at 62 00:02:58,840 --> 00:03:02,240 Speaker 1: debuts during the Super'd be like, okay, great. Like when 63 00:03:02,240 --> 00:03:04,040 Speaker 1: I was a baby, DJ I used to work. During 64 00:03:04,040 --> 00:03:07,640 Speaker 1: the Super Bowl, they put me on a radio. I'm like, great, Actually, 65 00:03:07,720 --> 00:03:11,880 Speaker 1: zero people, literally zero people, only on their way from 66 00:03:12,000 --> 00:03:14,200 Speaker 1: one place to watch the Super Bowl to the next place. 67 00:03:14,480 --> 00:03:18,079 Speaker 1: Nobody was listening to me. I should have been very, 68 00:03:18,280 --> 00:03:20,720 Speaker 1: very offended by that. And nothing's changed all these years later, 69 00:03:20,800 --> 00:03:25,040 Speaker 1: nothing has changed. The US has two gold medals and 70 00:03:25,080 --> 00:03:27,200 Speaker 1: that is the total medal. Kind of believe. Japan has 71 00:03:27,240 --> 00:03:30,720 Speaker 1: the most medals at seven. However, there's some controversy because 72 00:03:30,720 --> 00:03:32,840 Speaker 1: some of the first medals awarded at the Winter Olympics 73 00:03:32,880 --> 00:03:36,119 Speaker 1: are already falling apart. Can you imagine you do all 74 00:03:36,160 --> 00:03:39,360 Speaker 1: this work on the log, the ski jump or whatever 75 00:03:39,360 --> 00:03:41,040 Speaker 1: it is, they give you a gold medal and it's 76 00:03:41,080 --> 00:03:44,600 Speaker 1: like crappy and it falls apart. Organizers of the Milan 77 00:03:44,680 --> 00:03:48,840 Speaker 1: Cortina Winter Games that they're urgently examining why multiple medals 78 00:03:48,840 --> 00:03:52,600 Speaker 1: have separated from their ribbons soon after being awarded. One 79 00:03:52,640 --> 00:03:56,240 Speaker 1: Alpine skier, Breezy Johnson, who's American took gold in the 80 00:03:56,280 --> 00:03:59,200 Speaker 1: women's downhill, displayed her broken medal at a news conference, 81 00:03:59,240 --> 00:04:02,640 Speaker 1: holding up the detail pieces or reporters don't jump in them. 82 00:04:02,840 --> 00:04:05,400 Speaker 1: I was jumping in excitement and it broke. I'm sure 83 00:04:05,400 --> 00:04:07,360 Speaker 1: somebody will fix it. It's not crazy broken, but it's 84 00:04:07,360 --> 00:04:09,520 Speaker 1: a little broken. You like jump it up and down, 85 00:04:09,560 --> 00:04:12,040 Speaker 1: celebrating your wind, like what happened to my gold medal? 86 00:04:12,680 --> 00:04:16,039 Speaker 1: Where is it? The FBI is warning about romance scam 87 00:04:16,160 --> 00:04:19,360 Speaker 1: spiking ahead of Valentine's Day, which makes me very sad, 88 00:04:19,760 --> 00:04:21,880 Speaker 1: but they haven't actually like do a press release about this. 89 00:04:22,000 --> 00:04:24,560 Speaker 1: The FBI field officers are warning the public of a 90 00:04:24,600 --> 00:04:27,800 Speaker 1: type of romance scam, notice confidence fraud, which has swept 91 00:04:27,880 --> 00:04:31,520 Speaker 1: up many victims like Kalem, except in Calin's case it 92 00:04:31,560 --> 00:04:33,800 Speaker 1: was a dog. Yeah, no man could ever get me 93 00:04:33,839 --> 00:04:37,279 Speaker 1: to send No, no, no, you would never send money 94 00:04:37,320 --> 00:04:42,400 Speaker 1: to a to a dude. No, but for a dog yet. No. Honestly, 95 00:04:42,440 --> 00:04:44,040 Speaker 1: if I were ever going to get scammed, it would 96 00:04:44,040 --> 00:04:46,440 Speaker 1: be for some kind of animal relationship. Yeah, something's got 97 00:04:46,440 --> 00:04:48,520 Speaker 1: to kidnap me. Just be like there's puppies in this exactly, 98 00:04:48,600 --> 00:04:51,480 Speaker 1: and then like in I go, there's a TikTok. I 99 00:04:51,480 --> 00:04:53,479 Speaker 1: don't know if it was a trender somebody did, like 100 00:04:53,279 --> 00:04:55,640 Speaker 1: a like a mashup of them all, but it was 101 00:04:55,720 --> 00:04:58,800 Speaker 1: parents asking their kids like doing the thing they do 102 00:04:58,880 --> 00:05:02,200 Speaker 1: the exercise where it was like practicing what you would 103 00:05:02,200 --> 00:05:03,880 Speaker 1: say to a stranger. It was like, you know, two 104 00:05:04,040 --> 00:05:05,600 Speaker 1: three four year olds and it was like, Hey, I've 105 00:05:05,600 --> 00:05:07,360 Speaker 1: got a minivan full of puppies. Do you want to come? 106 00:05:07,400 --> 00:05:10,320 Speaker 1: And the kids You're like yes, no, you're supposed to 107 00:05:10,400 --> 00:05:13,320 Speaker 1: say no. And then you had my mom who put 108 00:05:13,320 --> 00:05:15,960 Speaker 1: my name, monogrammed my name on every single when I 109 00:05:16,000 --> 00:05:19,200 Speaker 1: was a baby. Yeah. I think every single piece of 110 00:05:19,200 --> 00:05:21,479 Speaker 1: clothing I had had my name on it somewhere because 111 00:05:21,480 --> 00:05:24,400 Speaker 1: she was young and rich at the time and and 112 00:05:24,440 --> 00:05:27,120 Speaker 1: I was her little doll, just a cool Every single 113 00:05:27,160 --> 00:05:29,599 Speaker 1: thing had Christopher across the front of it, like you 114 00:05:29,720 --> 00:05:32,960 Speaker 1: wanted me to get kidnapped and molested. You wanted it 115 00:05:33,040 --> 00:05:35,880 Speaker 1: like you wanted I mean, how much how much easier 116 00:05:35,880 --> 00:05:38,080 Speaker 1: could you make it? My name is on it, Like 117 00:05:38,200 --> 00:05:40,320 Speaker 1: they would be like and a picture of like a 118 00:05:40,360 --> 00:05:42,200 Speaker 1: snounger on the front of it. Because we had a dog, 119 00:05:42,680 --> 00:05:44,320 Speaker 1: so it would be like, oh, look, his name is 120 00:05:44,400 --> 00:05:47,800 Speaker 1: Christopher and he likes dogs. I have your dog. He's 121 00:05:47,839 --> 00:05:49,880 Speaker 1: at my house. I have your snouser dog. And I 122 00:05:49,880 --> 00:05:52,320 Speaker 1: would be like, really, give me Katie back. And then 123 00:05:52,480 --> 00:05:54,200 Speaker 1: because her name was Katie, and I would and I 124 00:05:54,240 --> 00:05:56,599 Speaker 1: would go with that person and then bad things would 125 00:05:56,600 --> 00:05:59,240 Speaker 1: probably happen. I'm like, why did you do that? Like, 126 00:05:59,279 --> 00:06:01,560 Speaker 1: at least put some one else's name on it or something. 127 00:06:01,880 --> 00:06:04,800 Speaker 1: Did you want me to get kidnapped? Anyway, people are 128 00:06:04,760 --> 00:06:07,240 Speaker 1: getting scammed around Valentine's Day. The use of AI is 129 00:06:07,279 --> 00:06:09,400 Speaker 1: making it easier for thieves to be successful as well. 130 00:06:09,440 --> 00:06:11,800 Speaker 1: The rule of thumb to avoid scamsy is if it's 131 00:06:12,040 --> 00:06:14,760 Speaker 1: too good to be true, it most likely isn't true. 132 00:06:16,120 --> 00:06:17,880 Speaker 1: Let's see what else do I have for you, guys. Oh. 133 00:06:17,880 --> 00:06:21,880 Speaker 1: A recent study has found that Miami has the worst 134 00:06:21,960 --> 00:06:24,880 Speaker 1: drivers in America, except I think everyone believes the worst 135 00:06:24,920 --> 00:06:31,279 Speaker 1: drivers in America is wherever they live. Yes, but Miami 136 00:06:31,360 --> 00:06:33,440 Speaker 1: is apparently the best. The study asks people to rank 137 00:06:33,480 --> 00:06:38,559 Speaker 1: several categories, including phone usage while driving, speeding, and more 138 00:06:38,680 --> 00:06:40,920 Speaker 1: on a scale of one to ten. Eighty six percent 139 00:06:40,920 --> 00:06:43,880 Speaker 1: of residents that were surveyed rated local drivers at a 140 00:06:43,960 --> 00:06:48,360 Speaker 1: seven or higher, with ten being considered extremely annoying. Miami 141 00:06:48,440 --> 00:06:51,960 Speaker 1: drivers got top scores for being the most annoying, aggressive route, 142 00:06:51,960 --> 00:06:54,880 Speaker 1: and unpleasant on the road. The rest of the top 143 00:06:54,880 --> 00:07:00,320 Speaker 1: five Las Vegas, Nashville, Philadelphia, and New Orleans. And I 144 00:07:00,320 --> 00:07:02,680 Speaker 1: feel like this is going to become more common, but 145 00:07:02,760 --> 00:07:05,679 Speaker 1: an Amazon drone delivering a package went up in smoke 146 00:07:05,720 --> 00:07:08,840 Speaker 1: after crashing into the side of a building. A resident 147 00:07:08,960 --> 00:07:11,360 Speaker 1: inside the building took a video after the drone crash 148 00:07:11,400 --> 00:07:14,560 Speaker 1: took the ground. She said the propellers continued to move 149 00:07:14,640 --> 00:07:16,600 Speaker 1: even after the drone hit the building, and she could 150 00:07:16,600 --> 00:07:20,080 Speaker 1: smell smoke coming from it. Firefighters arrived shortly after the 151 00:07:20,120 --> 00:07:22,720 Speaker 1: crash to inspect the drone, but it never cut on fire. 152 00:07:22,960 --> 00:07:25,920 Speaker 1: The incident occurred about two weeks after Amazon temporarily halted 153 00:07:25,960 --> 00:07:30,080 Speaker 1: the program after drones crash at a test facility. It's 154 00:07:30,080 --> 00:07:32,440 Speaker 1: gonna be Lord of the Flies around here. We're not 155 00:07:32,560 --> 00:07:34,320 Speaker 1: far from it where you're just gonna look up. It's 156 00:07:34,480 --> 00:07:36,640 Speaker 1: gonna be everyone's you know, preparation h or you know 157 00:07:36,640 --> 00:07:38,160 Speaker 1: whatever it is they have to have right now, just 158 00:07:38,200 --> 00:07:41,080 Speaker 1: zoom zoom, zoomzom zoom zoom zoom everywhere. We're not ready. 159 00:07:41,320 --> 00:07:43,360 Speaker 1: I think we should just table it for a minute. 160 00:07:43,360 --> 00:07:46,560 Speaker 1: You got these waymout driverless cars. They're still driving through 161 00:07:46,600 --> 00:07:50,360 Speaker 1: the middle of crime scenes, you know, active shootouts. You 162 00:07:50,480 --> 00:07:53,840 Speaker 1: got you got Amazon drones delivering people's toilet papers, slamming 163 00:07:53,880 --> 00:07:56,760 Speaker 1: in the side of buildings. It's I'm scary. It's National 164 00:07:56,800 --> 00:07:59,800 Speaker 1: flannel day to day stay for Internet Day and National 165 00:07:59,800 --> 00:08:02,080 Speaker 1: home OLM Warrency Day, which that's a very that's a 166 00:08:02,240 --> 00:08:03,240 Speaker 1: very specific one