1 00:00:00,080 --> 00:00:03,559 Speaker 1: I just came across a post on Facebook some old 2 00:00:03,600 --> 00:00:07,840 Speaker 1: friends and they were saying, it's National Spouse's Day. 3 00:00:08,240 --> 00:00:10,640 Speaker 2: Actually it was yesterday, Yeah, yesterday. 4 00:00:10,320 --> 00:00:12,360 Speaker 1: But they were saying that they were so lucky to 5 00:00:12,400 --> 00:00:15,200 Speaker 1: have each other and posting cute pictures of each other. 6 00:00:15,320 --> 00:00:18,959 Speaker 1: But isn't your anniversary your Spouse's Day? 7 00:00:19,200 --> 00:00:19,799 Speaker 3: Number one? 8 00:00:20,320 --> 00:00:23,960 Speaker 4: If you have friends on Facebook that are posting photos 9 00:00:24,000 --> 00:00:25,840 Speaker 4: about National Spouse's Day. 10 00:00:26,040 --> 00:00:26,600 Speaker 3: That's enough. 11 00:00:26,800 --> 00:00:29,600 Speaker 4: You know them too, and then I don't want to anymore. 12 00:00:29,640 --> 00:00:34,160 Speaker 4: What are we doing here National Spouse's Day? And again, 13 00:00:34,320 --> 00:00:35,960 Speaker 4: keep in mind, whenever you hear that it's you know, 14 00:00:36,080 --> 00:00:39,440 Speaker 4: National Pizza Day or National Taco Day, national Spouse's Day, 15 00:00:39,600 --> 00:00:43,920 Speaker 4: there's no like overarching authority that can trude Germans. 16 00:00:44,080 --> 00:00:46,040 Speaker 3: I can sit here today, you know what it is. 17 00:00:46,080 --> 00:00:49,159 Speaker 4: It's National Gym Day, where we celebrate gyms from all 18 00:00:49,200 --> 00:00:51,599 Speaker 4: around the country. I just did that, and then all 19 00:00:51,600 --> 00:00:52,879 Speaker 4: I have to do is just put it on this 20 00:00:52,960 --> 00:00:57,120 Speaker 4: website where anybody can declare any day on National Anything 21 00:00:57,200 --> 00:00:59,920 Speaker 4: Day and it's totally made up and totally phony, just 22 00:01:00,120 --> 00:01:01,600 Speaker 4: like National spouses. 23 00:01:01,080 --> 00:01:02,360 Speaker 2: On National Gym Day? 24 00:01:02,480 --> 00:01:05,600 Speaker 1: Are you accepting Jimmy's and James as well? 25 00:01:06,080 --> 00:01:07,600 Speaker 3: Absolutely? Any derivative. 26 00:01:07,640 --> 00:01:08,960 Speaker 2: Do you have rules for your day? 27 00:01:09,280 --> 00:01:13,240 Speaker 4: Yeah, we all text each other and say hey, congratulations 28 00:01:13,240 --> 00:01:14,600 Speaker 4: on being a gym. We all go to eat at 29 00:01:14,640 --> 00:01:18,039 Speaker 4: Jimmy John's. Oh nice, Which I don't like the fact 30 00:01:18,040 --> 00:01:20,240 Speaker 4: that it's two first names, Jimmy and John. 31 00:01:20,280 --> 00:01:21,800 Speaker 3: But that's okay. It's the best we can do for 32 00:01:21,880 --> 00:01:24,200 Speaker 3: right now. Yeah, that's what we do. We hang out. Yeah, 33 00:01:25,200 --> 00:01:25,880 Speaker 3: it's not bad. 34 00:01:26,080 --> 00:01:31,559 Speaker 1: At National Gym Day. The travel warning has been downgraded 35 00:01:31,600 --> 00:01:32,880 Speaker 1: to a travel watch. 36 00:01:33,560 --> 00:01:35,520 Speaker 3: Did you us just in time for National Gym Day? 37 00:01:35,560 --> 00:01:38,520 Speaker 3: Thank goodness. We almost had to cancel it or reschedule. 38 00:01:38,880 --> 00:01:42,200 Speaker 1: So eleven thousand US flights were canceled on Sunday. That 39 00:01:42,280 --> 00:01:47,000 Speaker 1: was the highest single day total since the start of COVID. 40 00:01:47,080 --> 00:01:50,480 Speaker 4: Yeah, Reagan Airport in Washington, DC completely shut down for 41 00:01:50,520 --> 00:01:53,040 Speaker 4: the entire day Sunday, no flights and no flights out. 42 00:01:53,200 --> 00:01:57,240 Speaker 1: Thirty seven thousand flights were canceled yesterday. So things are 43 00:01:57,400 --> 00:02:00,840 Speaker 1: picking up a little as we start to out. But 44 00:02:01,120 --> 00:02:05,840 Speaker 1: you had the mayor of Indianapolis, Boss Hogseet, yesterday afternoon 45 00:02:05,840 --> 00:02:07,560 Speaker 1: talking about the travel warning. 46 00:02:07,960 --> 00:02:10,880 Speaker 2: Don't know if you caught this, but here's part of it. 47 00:02:11,760 --> 00:02:13,400 Speaker 3: You're in our. 48 00:02:14,919 --> 00:02:18,760 Speaker 5: Press avail to bring you and the people that you 49 00:02:18,840 --> 00:02:25,440 Speaker 5: serve up to date with how this enormous historic winter 50 00:02:25,680 --> 00:02:31,480 Speaker 5: storm in our city continues and is going. 51 00:02:33,160 --> 00:02:39,720 Speaker 1: So Joe hog Set was standing there in his car 52 00:02:39,760 --> 00:02:43,200 Speaker 1: heart jacket and his little beanie hat, and he was 53 00:02:43,240 --> 00:02:45,680 Speaker 1: explaining how they were going to plow the roads. 54 00:02:46,120 --> 00:02:46,919 Speaker 2: How'd that work out? 55 00:02:47,480 --> 00:02:50,360 Speaker 4: Yeah, based on our drive in this morning, are still 56 00:02:50,400 --> 00:02:53,560 Speaker 4: a work in progress. Hey, just congratulations to Joe Hogseet 57 00:02:53,600 --> 00:02:57,880 Speaker 4: for actually having a coherent press conference. So that is, 58 00:02:58,680 --> 00:03:02,720 Speaker 4: for based on a curve of previous Joe hog Set 59 00:03:02,720 --> 00:03:07,320 Speaker 4: press conferences, Yes, this one would be considered coherent and intelligent. 60 00:03:07,480 --> 00:03:10,120 Speaker 3: And I understood the message that he was trying to send. 61 00:03:10,320 --> 00:03:12,840 Speaker 1: Imagine if the founders had known two hundred and fifty 62 00:03:12,880 --> 00:03:16,000 Speaker 1: years later that our politicians would be teaching us how 63 00:03:16,040 --> 00:03:19,160 Speaker 1: to shovel though. Here's the governor of New York giving 64 00:03:19,160 --> 00:03:20,680 Speaker 1: a demonstration. 65 00:03:20,639 --> 00:03:23,480 Speaker 2: Pro tips on shoveling from someone from Buffalo who knows. 66 00:03:24,040 --> 00:03:25,000 Speaker 1: Just push it all the way. 67 00:03:25,160 --> 00:03:26,280 Speaker 2: Can I see what I'm doing here? 68 00:03:26,720 --> 00:03:28,840 Speaker 1: Most rain on the back from doing that, Cohen, it 69 00:03:28,840 --> 00:03:29,840 Speaker 1: gets a lot heavier. 70 00:03:30,120 --> 00:03:31,960 Speaker 2: You're gonna have to do a little bit more. Don't 71 00:03:32,000 --> 00:03:35,720 Speaker 2: lift much, just do the smaller bits. Okay, a little bit, 72 00:03:35,920 --> 00:03:38,520 Speaker 2: a little bit, you can do this. We do a 73 00:03:38,560 --> 00:03:40,640 Speaker 2: big pile and fill us up, because that can lead 74 00:03:40,680 --> 00:03:42,040 Speaker 2: to a heart attack. You don't want that. 75 00:03:43,400 --> 00:03:46,680 Speaker 4: We have lived in the Midwest or the North our 76 00:03:46,840 --> 00:03:49,040 Speaker 4: entire lives. I'm going to assume that most people who 77 00:03:49,080 --> 00:03:51,040 Speaker 4: live in the state of New York have lived in 78 00:03:51,080 --> 00:03:54,240 Speaker 4: that region or in the North their entire lives. We 79 00:03:54,320 --> 00:03:56,560 Speaker 4: know how to shovel, We're okay. If this was the 80 00:03:56,560 --> 00:03:59,040 Speaker 4: governor of Florida or Texas, and let's say maybe even 81 00:03:59,160 --> 00:04:01,400 Speaker 4: Arkansas got it on a snow and they normally don't 82 00:04:01,400 --> 00:04:03,360 Speaker 4: get it. Okay, fine, I get the governor going out 83 00:04:03,400 --> 00:04:07,560 Speaker 4: and giving instructions on how to shovel properly, property properly. 84 00:04:07,720 --> 00:04:11,320 Speaker 4: But this was six nine inches of snow. It's called winter. 85 00:04:11,920 --> 00:04:13,560 Speaker 4: We get this every single year. 86 00:04:14,600 --> 00:04:18,039 Speaker 1: Are you tired of the pandering? It's like, I'm one 87 00:04:18,040 --> 00:04:22,200 Speaker 1: of you. I'm a regular person. I'm shoveling my driveway or, 88 00:04:22,200 --> 00:04:25,359 Speaker 1: in the case of the Secretary State, allegedly using a snowblower. 89 00:04:25,520 --> 00:04:27,719 Speaker 4: Yeah, of course, I'm tired of the pandering. The politicians 90 00:04:27,760 --> 00:04:29,440 Speaker 4: always do it. I was tired of it when Chuck 91 00:04:29,480 --> 00:04:32,200 Speaker 4: Schumer was you know, fake grilling up burgers on the 92 00:04:32,240 --> 00:04:34,839 Speaker 4: fourth of July. Yeah, this is, you know again, another 93 00:04:34,880 --> 00:04:37,800 Speaker 4: reason why people just have so much distrust in politicians. 94 00:04:38,200 --> 00:04:41,600 Speaker 4: Even simple actions like this just come across as completely disingenuous. 95 00:04:41,880 --> 00:04:45,719 Speaker 1: So you've got rental registries as the new hot thing. 96 00:04:45,800 --> 00:04:49,919 Speaker 1: Cities are trying to track housing and hold people accountable. 97 00:04:50,400 --> 00:04:54,479 Speaker 1: But they say it's to make housing more affordable. I 98 00:04:54,640 --> 00:04:56,640 Speaker 1: say it's to get a licensing fee. 99 00:04:56,720 --> 00:04:57,400 Speaker 2: What say you? 100 00:04:57,720 --> 00:05:00,560 Speaker 4: Yeah, no, the States love licensing few. You want to 101 00:05:00,600 --> 00:05:02,520 Speaker 4: be a you want to be a bartender, up, you 102 00:05:02,600 --> 00:05:04,200 Speaker 4: got to pay a fee for that and get a license. 103 00:05:04,200 --> 00:05:05,880 Speaker 4: You want to be a hairdresser, yep, going to need 104 00:05:05,920 --> 00:05:07,479 Speaker 4: a fee for that and pay a license. You want 105 00:05:07,480 --> 00:05:10,080 Speaker 4: to be a landlord now yup. Sounds like you're going 106 00:05:10,160 --> 00:05:11,880 Speaker 4: to have to get a fee and or get a 107 00:05:11,920 --> 00:05:13,039 Speaker 4: license and pay a fee. 108 00:05:13,160 --> 00:05:14,440 Speaker 2: So this is how they work. 109 00:05:14,920 --> 00:05:19,600 Speaker 1: Landlords report rent ownership or tenancy info, and then cities 110 00:05:19,640 --> 00:05:23,880 Speaker 1: tie the registration to inspections and combine that with licensing, 111 00:05:24,279 --> 00:05:28,359 Speaker 1: and then violations can result in fines another way to 112 00:05:28,480 --> 00:05:31,960 Speaker 1: make money. And then you've got inspections that will lead 113 00:05:32,000 --> 00:05:38,280 Speaker 1: to detecting any safety hazards or things that aren't working properly, 114 00:05:38,440 --> 00:05:42,880 Speaker 1: like your smoke detector or different gas leaks, and these 115 00:05:42,920 --> 00:05:46,440 Speaker 1: cities are saying that this is for safety purposes. However, 116 00:05:46,520 --> 00:05:49,279 Speaker 1: as you can imagine, with a licensing fee and then 117 00:05:49,440 --> 00:05:54,000 Speaker 1: fines and then inspections, it's another way to make money. 118 00:05:54,040 --> 00:05:57,000 Speaker 4: Well, you were talking about politicians being disingenuous with the 119 00:05:57,000 --> 00:05:59,359 Speaker 4: governor of New York shovelin snow. You know what you 120 00:05:59,400 --> 00:06:01,680 Speaker 4: said at the beginning of this story was that the 121 00:06:01,720 --> 00:06:05,279 Speaker 4: state lawmakers or the lawmakers that are part of this, 122 00:06:05,560 --> 00:06:08,719 Speaker 4: were intending for this to reduce the cost of housing. 123 00:06:09,160 --> 00:06:12,080 Speaker 4: That's completely disingenuous. All this is, and look, I'm not 124 00:06:12,120 --> 00:06:13,760 Speaker 4: saying this is a good idea or a bad idea. 125 00:06:14,040 --> 00:06:16,479 Speaker 4: We may need this for safety and regulations and to 126 00:06:16,720 --> 00:06:20,960 Speaker 4: you know, you hold landlowners renters more accountable. But the 127 00:06:21,080 --> 00:06:23,960 Speaker 4: idea that this is to reduce the cost of living 128 00:06:24,040 --> 00:06:28,039 Speaker 4: and reduced rent. No regulation ever reduces the cost of 129 00:06:28,080 --> 00:06:29,479 Speaker 4: rent or the cost of living like this. 130 00:06:29,640 --> 00:06:32,400 Speaker 1: About seven point one million people moved from a different 131 00:06:32,480 --> 00:06:35,840 Speaker 1: state in twenty twenty four. About twenty nine point nine 132 00:06:35,880 --> 00:06:40,400 Speaker 1: million moved within their state. However, other people moved out 133 00:06:40,440 --> 00:06:42,240 Speaker 1: of their states. So let's talk about some of the 134 00:06:42,279 --> 00:06:45,320 Speaker 1: states that are gaining the most residents. 135 00:06:44,800 --> 00:06:47,680 Speaker 2: From other states. I'm spoiler alert. 136 00:06:47,800 --> 00:06:48,880 Speaker 3: Yeah, what do you got. 137 00:06:48,680 --> 00:06:50,240 Speaker 2: Indiana not on the top ten line? 138 00:06:50,440 --> 00:06:52,200 Speaker 4: I mean, there's not a ton of people banging down 139 00:06:52,240 --> 00:06:54,040 Speaker 4: the doors of Indiana wanting to move here. 140 00:06:54,120 --> 00:06:56,480 Speaker 3: Okay, five, that's what you said. Fine, I guess if 141 00:06:56,480 --> 00:06:57,599 Speaker 3: that's what the data says. 142 00:06:58,000 --> 00:07:02,600 Speaker 1: So you've got Washington, Pennsylvania, Arizona, Virginia, Georgia, New York, 143 00:07:02,640 --> 00:07:05,680 Speaker 1: North Carolina, California, Texas, and the top state people are 144 00:07:05,720 --> 00:07:06,080 Speaker 1: moving to. 145 00:07:06,440 --> 00:07:10,560 Speaker 2: You could probably guess it it is Florida. Now there 146 00:07:10,600 --> 00:07:13,000 Speaker 2: are states that are losing people. 147 00:07:13,360 --> 00:07:14,760 Speaker 3: Yeah, so this is this. 148 00:07:15,360 --> 00:07:17,880 Speaker 4: I say this with a lot of articles, especially data 149 00:07:17,960 --> 00:07:20,880 Speaker 4: driven articles. The devil is always in the details. Those 150 00:07:21,040 --> 00:07:22,920 Speaker 4: are the numbers that you just went through. In the 151 00:07:22,920 --> 00:07:26,160 Speaker 4: states you just went through are just counting people moving 152 00:07:26,320 --> 00:07:29,560 Speaker 4: into the state. It does not count people that are 153 00:07:29,680 --> 00:07:32,120 Speaker 4: also moving out of the state, because both of those 154 00:07:32,120 --> 00:07:33,520 Speaker 4: things happen simultaneously. 155 00:07:33,840 --> 00:07:34,080 Speaker 2: Right. 156 00:07:34,120 --> 00:07:37,320 Speaker 1: So the states that are losing the most residents New Jersey, Georgia, 157 00:07:37,400 --> 00:07:41,480 Speaker 1: North Carolina, Pennsylvania, Virginia, Illinois, and New York, Texas, and 158 00:07:42,240 --> 00:07:46,680 Speaker 1: California is the top one on the list. Texas has 159 00:07:46,800 --> 00:07:51,160 Speaker 1: also gained a lot of residents, many people from California 160 00:07:51,520 --> 00:07:53,240 Speaker 1: moving to Texas. 161 00:07:53,280 --> 00:07:55,240 Speaker 4: Yeah, and if you look at the list when you 162 00:07:55,320 --> 00:07:59,240 Speaker 4: talked about the inbound migration, California was number two of 163 00:07:59,280 --> 00:08:01,160 Speaker 4: people moving to that state. And you can sit here 164 00:08:01,240 --> 00:08:04,440 Speaker 4: and say, wow, wow, that seems counterintuitive. Lots of high 165 00:08:04,520 --> 00:08:07,440 Speaker 4: taxes and regulation. Maybe not the best time to move 166 00:08:07,440 --> 00:08:11,120 Speaker 4: to California. But when you combine the people that are leaving, 167 00:08:11,920 --> 00:08:14,360 Speaker 4: California is at a net negative and migration, so there 168 00:08:14,360 --> 00:08:16,680 Speaker 4: are more people still leaving the state of California than 169 00:08:16,720 --> 00:08:18,240 Speaker 4: going toward the state of California. 170 00:08:18,360 --> 00:08:19,680 Speaker 2: Now here's the interesting thing. 171 00:08:19,880 --> 00:08:22,760 Speaker 1: You've got that article saying that Indiana is not on 172 00:08:22,800 --> 00:08:26,120 Speaker 1: the list. However, Zillo came out and they said that 173 00:08:26,240 --> 00:08:30,320 Speaker 1: Indianapolis leads their list of best markets to buy a 174 00:08:30,360 --> 00:08:31,920 Speaker 1: home in twenty six. 175 00:08:32,200 --> 00:08:34,320 Speaker 3: Well, and this this is where you should move to. 176 00:08:34,480 --> 00:08:35,240 Speaker 2: But people are not. 177 00:08:35,360 --> 00:08:37,719 Speaker 4: But people are not moving there. And the reason why 178 00:08:37,800 --> 00:08:39,679 Speaker 4: Zillo is talking about that is because there tends to 179 00:08:39,760 --> 00:08:42,280 Speaker 4: be more housing inventory on the market, there's more downward 180 00:08:42,280 --> 00:08:46,559 Speaker 4: pressure on pricing in the Indianapolis market. And again good 181 00:08:46,600 --> 00:08:49,360 Speaker 4: distinction there. Zillo is saying it's a good time to 182 00:08:49,400 --> 00:08:51,719 Speaker 4: move to Indianapolis. It's a good time to move here, 183 00:08:51,880 --> 00:08:53,600 Speaker 4: and the rest of the country that is looking to 184 00:08:53,640 --> 00:08:56,160 Speaker 4: move somewhere are saying, hey, we're not moving Indiana. 185 00:08:56,440 --> 00:09:00,920 Speaker 1: So the Zillo claiming that the typical home price in 186 00:09:00,920 --> 00:09:06,800 Speaker 1: Indianapolis two hundred and eighty three thousand, which is twenty 187 00:09:06,880 --> 00:09:09,880 Speaker 1: seven percent of a median income for mortgage. But they 188 00:09:09,920 --> 00:09:13,040 Speaker 1: say Indianapolis is buy or friendly more so than other 189 00:09:13,120 --> 00:09:16,520 Speaker 1: markets because there are more homes available within budget, there's 190 00:09:16,600 --> 00:09:18,840 Speaker 1: less competition, and there's also. 191 00:09:19,000 --> 00:09:20,240 Speaker 2: Room for negotiation. 192 00:09:21,240 --> 00:09:23,560 Speaker 1: We're coming up on springtime, which is when many people 193 00:09:23,600 --> 00:09:24,839 Speaker 1: will list their home, and. 194 00:09:24,800 --> 00:09:27,400 Speaker 4: The way I take that is they're saying that Indianapolis 195 00:09:27,440 --> 00:09:30,760 Speaker 4: is certainly a buyer's market. Now, Indianapolis had one of 196 00:09:30,800 --> 00:09:34,160 Speaker 4: the larger run ups in home prices the last five years. Now, 197 00:09:34,160 --> 00:09:36,680 Speaker 4: it wasn't it the degree that places like Nashville and 198 00:09:36,760 --> 00:09:41,079 Speaker 4: Tampa and Dallas and Austin had, but Indianapolis had significant 199 00:09:41,080 --> 00:09:43,240 Speaker 4: It was one of the top cities in the country 200 00:09:43,440 --> 00:09:46,920 Speaker 4: for home appreciation the last five years. What you're seeing 201 00:09:47,040 --> 00:09:49,440 Speaker 4: now as things are kind of settling down, is those 202 00:09:49,600 --> 00:09:52,320 Speaker 4: cities that had those big run ups are now seeing 203 00:09:52,320 --> 00:09:54,920 Speaker 4: the largest rundowns. I guess you could say are the 204 00:09:55,080 --> 00:09:58,000 Speaker 4: better time to buy because Austin has definitely come off 205 00:09:58,000 --> 00:09:59,880 Speaker 4: of their highs when it comes to housing. Tampa has 206 00:10:00,040 --> 00:10:02,280 Speaker 4: on the same thing. In Indianapolis also in that group 207 00:10:02,320 --> 00:10:02,680 Speaker 4: as well. 208 00:10:02,720 --> 00:10:06,880 Speaker 1: According to Zillow, Hartford, Connecticut is currently the hottest market 209 00:10:06,880 --> 00:10:10,400 Speaker 1: in the country and they claim it's because the competition. 210 00:10:10,000 --> 00:10:12,400 Speaker 2: Is very intense. That's probably a low inventory. 211 00:10:12,559 --> 00:10:15,240 Speaker 4: I didn't see that Connecticut on that list of people moving, 212 00:10:15,360 --> 00:10:17,439 Speaker 4: you know, dying to move to that state. So again 213 00:10:17,520 --> 00:10:20,040 Speaker 4: another example of hey, it may be a good idea 214 00:10:20,080 --> 00:10:22,000 Speaker 4: to move here, but that doesn't mean people are actually 215 00:10:22,040 --> 00:10:22,439 Speaker 4: doing it. 216 00:10:22,760 --> 00:10:25,800 Speaker 2: This is the Kendallly Casey Show. It's ninety three WIBC. 217 00:10:32,600 --> 00:10:35,200 Speaker 2: It changed hands and now everybody is up in arms 218 00:10:35,240 --> 00:10:35,600 Speaker 2: about it. 219 00:10:35,800 --> 00:10:40,440 Speaker 1: There's there's talk about TikTok Over the past five days, 220 00:10:41,600 --> 00:10:46,920 Speaker 1: US users have deleted TikTok it has they've uninstalled at 221 00:10:46,960 --> 00:10:50,679 Speaker 1: an increase of one hundred and fifty five percent okay 222 00:10:50,840 --> 00:10:52,920 Speaker 1: compared with the previous three months. 223 00:10:53,000 --> 00:10:53,400 Speaker 3: Okay. 224 00:10:53,920 --> 00:10:57,640 Speaker 1: They announced that TikTok Us operations are going to move 225 00:10:57,679 --> 00:11:02,240 Speaker 1: to that new joint venture under Adam Presser. He was 226 00:11:02,320 --> 00:11:05,240 Speaker 1: named the CEO you've also got people like Larry Ellison 227 00:11:05,280 --> 00:11:10,800 Speaker 1: in charge, and that has prompted many TikTok users to. 228 00:11:10,280 --> 00:11:11,240 Speaker 2: Delete the app. 229 00:11:11,760 --> 00:11:15,360 Speaker 1: They say that there is a new privacy policy which 230 00:11:15,400 --> 00:11:21,280 Speaker 1: requires consent for data collection, including information like racial and 231 00:11:21,320 --> 00:11:27,720 Speaker 1: ethnic origin, sexual orientation, citizenship, and even financial info. And 232 00:11:28,160 --> 00:11:30,960 Speaker 1: this is the reason that has prompted many people to 233 00:11:31,120 --> 00:11:34,440 Speaker 1: say no, thank you, because if the threat of China 234 00:11:34,480 --> 00:11:37,679 Speaker 1: having your information before wasn't enough, now they're saying that 235 00:11:37,720 --> 00:11:40,800 Speaker 1: the US operations are taking it one step further. 236 00:11:41,000 --> 00:11:42,880 Speaker 4: Yeah, there's been a lot of chatter on TikTok and 237 00:11:42,920 --> 00:11:48,040 Speaker 4: other places. So as this US firm has now taken 238 00:11:48,160 --> 00:11:52,320 Speaker 4: control of TikTok, there are users that are claiming that 239 00:11:52,400 --> 00:11:55,440 Speaker 4: the app is different, the algorithm isn't working the same. 240 00:11:55,520 --> 00:11:57,760 Speaker 4: But most of what people are up in arms with 241 00:11:58,280 --> 00:12:00,280 Speaker 4: is this new privacy statement that talks about all the 242 00:12:00,360 --> 00:12:01,160 Speaker 4: data they're collecting. 243 00:12:01,360 --> 00:12:02,240 Speaker 3: I got news for you. 244 00:12:02,440 --> 00:12:05,360 Speaker 4: When China owned it, they were collecting at least all 245 00:12:05,400 --> 00:12:07,400 Speaker 4: of that data and probably a lot more. And this 246 00:12:07,520 --> 00:12:09,360 Speaker 4: is true for any app on your phone. Look, if 247 00:12:09,400 --> 00:12:11,400 Speaker 4: you are concerned about your data, if you are concerned 248 00:12:11,440 --> 00:12:15,560 Speaker 4: about your privacy to that degree, then you probably shouldn't 249 00:12:15,559 --> 00:12:19,040 Speaker 4: have a smartphone because all of our information is out 250 00:12:19,080 --> 00:12:21,800 Speaker 4: there everywhere, all the time it's. 251 00:12:21,600 --> 00:12:22,160 Speaker 2: Been out there. 252 00:12:22,480 --> 00:12:25,839 Speaker 4: This is nothing been all there with Facebook, it does Instagram. 253 00:12:25,920 --> 00:12:28,079 Speaker 4: It seems like kind of a bit of fake outrage 254 00:12:28,080 --> 00:12:30,079 Speaker 4: that as soon as it, you know, the algorithm and 255 00:12:30,120 --> 00:12:32,760 Speaker 4: the contents moved from China's control to the United States's 256 00:12:32,760 --> 00:12:35,840 Speaker 4: control and we update our privacy policy or TikTok does 257 00:12:36,000 --> 00:12:39,560 Speaker 4: under the US control, that now, oh that's it. Now 258 00:12:39,920 --> 00:12:42,560 Speaker 4: I'm gone. It seems a little performative to me. And 259 00:12:42,600 --> 00:12:45,640 Speaker 4: I'm going to guess here that in three months, six months, 260 00:12:45,880 --> 00:12:47,839 Speaker 4: nobody's going to know the difference in TikTok will just 261 00:12:47,920 --> 00:12:49,800 Speaker 4: keep chugging along like it always has. Now. 262 00:12:49,840 --> 00:12:53,840 Speaker 1: Another thing that happened yesterday there was a major outage 263 00:12:54,000 --> 00:12:54,880 Speaker 1: on TikTok. 264 00:12:55,320 --> 00:12:55,920 Speaker 2: There was a. 265 00:12:55,960 --> 00:12:59,480 Speaker 1: Power outage at some data centers and that affected uploads 266 00:12:59,480 --> 00:13:01,800 Speaker 1: and feeds and access for a lot of users. 267 00:13:02,200 --> 00:13:03,920 Speaker 2: It lasted for quite. 268 00:13:03,679 --> 00:13:07,600 Speaker 1: A while, and that following the January twenty second deal 269 00:13:08,160 --> 00:13:11,520 Speaker 1: has made a lot of people a little more paranoid. 270 00:13:11,559 --> 00:13:15,320 Speaker 1: It has fueled that because not only are there concerns 271 00:13:15,360 --> 00:13:19,120 Speaker 1: about the agreement, the terms of agreement, which does anybody 272 00:13:19,120 --> 00:13:22,160 Speaker 1: actually read, but many people are saying that. 273 00:13:22,040 --> 00:13:24,080 Speaker 3: And if you say yes, you're a liar. 274 00:13:24,280 --> 00:13:27,160 Speaker 4: Nobody is reading the terms of agreement on any app 275 00:13:27,240 --> 00:13:27,959 Speaker 4: or software. 276 00:13:28,080 --> 00:13:29,920 Speaker 3: We just scroll through all of it to the bottom 277 00:13:29,920 --> 00:13:30,760 Speaker 3: and hitteralreae. Yes. 278 00:13:30,880 --> 00:13:31,640 Speaker 2: Yeah. 279 00:13:31,679 --> 00:13:34,160 Speaker 1: Well a lot of people are saying that that outage 280 00:13:34,920 --> 00:13:40,120 Speaker 1: was due to censorship and platform changes and shadow banning, 281 00:13:40,200 --> 00:13:42,120 Speaker 1: and that's why a lot of people were choosing to 282 00:13:42,320 --> 00:13:46,720 Speaker 1: uninstall it as well. Now because TikTok has lost people, 283 00:13:46,880 --> 00:13:49,800 Speaker 1: where are they going? There are some new apps that 284 00:13:49,920 --> 00:13:53,160 Speaker 1: saw spikes and downloads, and I've heard of one of them. 285 00:13:53,360 --> 00:13:54,600 Speaker 2: The rest I have no idea. 286 00:13:54,720 --> 00:13:56,240 Speaker 3: Okay, well, let me tell what do you got here? 287 00:13:56,440 --> 00:13:59,920 Speaker 1: Red Note increased their downloads by fifty three percent. 288 00:14:00,160 --> 00:14:03,800 Speaker 4: Oh good for them. I've never heard it. Skylight Social Nope, 289 00:14:03,800 --> 00:14:04,400 Speaker 4: never heard of it. 290 00:14:04,559 --> 00:14:07,320 Speaker 2: Have increased by nine hundred and nineteen percent. 291 00:14:07,480 --> 00:14:08,120 Speaker 3: Yeah. 292 00:14:08,360 --> 00:14:11,800 Speaker 1: Now the last one, which is up one thousand percent, 293 00:14:12,000 --> 00:14:16,240 Speaker 1: Never heard of it. It's called up scrolled upscrolled. 294 00:14:16,280 --> 00:14:16,960 Speaker 2: Do you ever heard of that? 295 00:14:17,040 --> 00:14:17,880 Speaker 3: I've never heard of it. 296 00:14:17,920 --> 00:14:20,240 Speaker 4: And just because it's up one thousand percent means it 297 00:14:20,240 --> 00:14:23,320 Speaker 4: could have had one user yesterday and today it's got 298 00:14:23,320 --> 00:14:25,600 Speaker 4: one thousand users, and that would be up one thousand 299 00:14:25,680 --> 00:14:28,320 Speaker 4: percent actually technically would be ten users to a thousand 300 00:14:28,320 --> 00:14:30,320 Speaker 4: to one thousand percent, but that doesn't mean that there's 301 00:14:30,320 --> 00:14:32,560 Speaker 4: still a lot of people on there. Remember when everybody 302 00:14:32,600 --> 00:14:36,160 Speaker 4: was moving over to Threads. That was the Twitter killer. 303 00:14:36,400 --> 00:14:38,640 Speaker 4: Meta was going to launch this new app called Threads, 304 00:14:38,640 --> 00:14:40,560 Speaker 4: and everybody logged into it and tried it out for 305 00:14:40,560 --> 00:14:42,880 Speaker 4: a day or a week, and then everybody went away, 306 00:14:42,880 --> 00:14:44,880 Speaker 4: and then it was going to be blue Sky. Oh 307 00:14:44,920 --> 00:14:47,640 Speaker 4: we're sick of Twitter after Elon bought it. It's terrible, 308 00:14:47,680 --> 00:14:50,320 Speaker 4: it's awful. We're all moving to blue Everybody announcing their 309 00:14:50,320 --> 00:14:51,720 Speaker 4: departure like it was an airport. 310 00:14:52,000 --> 00:14:53,640 Speaker 3: I'm no longer posting on Twitter. 311 00:14:53,680 --> 00:14:56,160 Speaker 4: I'm moving to Blue Sky, and now it seems that 312 00:14:56,200 --> 00:14:58,640 Speaker 4: the vast majority of those people are suddenly posting on 313 00:14:58,640 --> 00:14:59,160 Speaker 4: Twitter again. 314 00:14:59,280 --> 00:15:01,280 Speaker 2: Have you checked out Blue Sky in a while? I 315 00:15:01,960 --> 00:15:02,280 Speaker 2: never have. 316 00:15:02,520 --> 00:15:04,000 Speaker 3: I've never downloaded blue Sky. 317 00:15:04,120 --> 00:15:08,280 Speaker 4: I did download Threads and made an account for my 318 00:15:08,400 --> 00:15:12,280 Speaker 4: business that I run and have really never touched it. 319 00:15:12,320 --> 00:15:15,520 Speaker 1: Since you made an account and said okay, so you 320 00:15:15,560 --> 00:15:18,240 Speaker 1: were one of the people who look I went there 321 00:15:18,240 --> 00:15:18,760 Speaker 1: and then left. 322 00:15:18,800 --> 00:15:20,440 Speaker 3: I'm all for trying new things. 323 00:15:20,480 --> 00:15:22,280 Speaker 4: If there's a new app about out that people are 324 00:15:22,280 --> 00:15:24,720 Speaker 4: talking about, and it's interesting. I feel like I've got 325 00:15:24,760 --> 00:15:26,920 Speaker 4: to download it, check it out, see it for myself. 326 00:15:27,000 --> 00:15:27,960 Speaker 3: I did that with threads. 327 00:15:28,440 --> 00:15:30,520 Speaker 2: I saw it as unimpressed. 328 00:15:30,640 --> 00:15:31,840 Speaker 3: Well, there's no benefit to me. 329 00:15:31,880 --> 00:15:34,040 Speaker 4: It was it was essentially the same thing as Twitter, 330 00:15:34,160 --> 00:15:37,040 Speaker 4: only a lot lot worse. So I'm good with Twitter. 331 00:15:37,120 --> 00:15:39,880 Speaker 4: I like Twitter X and I continue to use that. 332 00:15:40,040 --> 00:15:41,840 Speaker 3: And it's it is, it is. 333 00:15:42,240 --> 00:15:45,520 Speaker 4: It is very difficult to get people out of their 334 00:15:45,560 --> 00:15:48,520 Speaker 4: habits and to get people to migrate from one social 335 00:15:48,640 --> 00:15:51,560 Speaker 4: media platform to another, especially in a short period of time. 336 00:15:51,600 --> 00:15:53,240 Speaker 4: Now they may do it over a long period of 337 00:15:53,320 --> 00:15:55,640 Speaker 4: time and you but but it's still not that dramatic. 338 00:15:55,720 --> 00:15:56,440 Speaker 3: You hear all this talk. 339 00:15:56,680 --> 00:16:00,880 Speaker 4: Oh, Facebook is dead, nobody uses Facebook, everybody's on TikTok. Yeah, 340 00:16:00,920 --> 00:16:03,800 Speaker 4: Facebook's still the number one social media app in the world. No, actually, 341 00:16:03,840 --> 00:16:06,000 Speaker 4: I believe it's YouTube, second to YouTube, although there's a 342 00:16:06,000 --> 00:16:08,440 Speaker 4: lot of people that don't consider YouTube a social media app, 343 00:16:08,480 --> 00:16:11,280 Speaker 4: certainly not in the way that Instagram, TikTok, Twitter, and 344 00:16:11,600 --> 00:16:15,200 Speaker 4: Facebook are. But Facebook is still used by tens and 345 00:16:15,240 --> 00:16:17,560 Speaker 4: tens and tens of millions of people in this country, 346 00:16:17,600 --> 00:16:21,240 Speaker 4: even though the popular narrative is that nobody's on Facebook, anymore. 347 00:16:21,360 --> 00:16:23,480 Speaker 1: Somebody had sent me a note on X and they 348 00:16:23,480 --> 00:16:26,560 Speaker 1: were asking for your X handle. They were driving when 349 00:16:26,600 --> 00:16:28,720 Speaker 1: you mentioned it the other day because they want to 350 00:16:28,760 --> 00:16:29,680 Speaker 1: see what you're up to. 351 00:16:30,400 --> 00:16:31,720 Speaker 3: Oh sure, and you can do that. 352 00:16:31,760 --> 00:16:35,840 Speaker 4: It's a CGC underscore SI has nothing to do with 353 00:16:35,880 --> 00:16:37,680 Speaker 4: this radio station. It has to do with my small 354 00:16:37,720 --> 00:16:39,160 Speaker 4: business that I run, and if you want to check 355 00:16:39,160 --> 00:16:41,240 Speaker 4: me out there, it's CGC underscore SI. 356 00:16:41,960 --> 00:16:45,520 Speaker 1: So I also saw somebody else saying that Facebook is 357 00:16:45,560 --> 00:16:50,680 Speaker 1: where the boomers are, Millennials are on Instagram, gen z 358 00:16:50,920 --> 00:16:53,800 Speaker 1: is on TikTok, So what's the generation for X. 359 00:16:54,480 --> 00:16:56,880 Speaker 3: Well, it's interesting because it must be generation X. Well. 360 00:16:56,920 --> 00:16:59,520 Speaker 4: But those three platforms, so let's take a deep dive 361 00:16:59,520 --> 00:17:03,480 Speaker 4: and platforms that you mentioned TikTok, Instagram, and Facebook are 362 00:17:03,760 --> 00:17:08,199 Speaker 4: more about those communities and what happens in those communities. 363 00:17:08,320 --> 00:17:11,439 Speaker 4: Twitter X is really it's really a news feed, and 364 00:17:11,480 --> 00:17:13,720 Speaker 4: that's what the vast majority of people use it for 365 00:17:13,840 --> 00:17:15,760 Speaker 4: is a news feed, which is why people lost their 366 00:17:15,800 --> 00:17:19,240 Speaker 4: minds a while back when Twitter, for a short period 367 00:17:19,280 --> 00:17:22,360 Speaker 4: of time, wouldn't allow you to sort your feed chronologically. 368 00:17:22,800 --> 00:17:25,480 Speaker 4: It was whatever you know the app wanted you to see. 369 00:17:25,480 --> 00:17:28,000 Speaker 4: But now again that you can sort it again chronologically. 370 00:17:28,040 --> 00:17:30,240 Speaker 4: That's the way the most people use it. They use 371 00:17:30,280 --> 00:17:33,160 Speaker 4: it as a news feed, and that's kind of different 372 00:17:33,240 --> 00:17:36,959 Speaker 4: than the way people use TikTok, Instagram, and Facebook. So 373 00:17:37,320 --> 00:17:40,280 Speaker 4: it kind of crosses. Twitter will cross generations. It'll be 374 00:17:40,359 --> 00:17:42,760 Speaker 4: used by young people in millennials and by older Gen 375 00:17:42,920 --> 00:17:46,160 Speaker 4: X and boomers. When the other three main social media 376 00:17:46,200 --> 00:17:48,679 Speaker 4: platforms tend to kind of form their own little communities 377 00:17:48,720 --> 00:17:51,960 Speaker 4: around what's happening there, Twitter is kind of like everything 378 00:17:52,000 --> 00:17:54,960 Speaker 4: in anything that's happening right now. That's where it is 379 00:17:55,000 --> 00:17:55,439 Speaker 4: on Twitter. 380 00:17:55,520 --> 00:17:58,119 Speaker 1: Have you noticed an increase in I guess i'll just 381 00:17:58,119 --> 00:18:02,200 Speaker 1: call it fear mongering on x people throwing things out 382 00:18:02,240 --> 00:18:05,560 Speaker 1: there just to get engagement and clicks. I mean, when 383 00:18:05,720 --> 00:18:10,120 Speaker 1: when Twitter first started, You're right, it was news organizations 384 00:18:10,119 --> 00:18:11,120 Speaker 1: that were posting there. 385 00:18:11,520 --> 00:18:14,200 Speaker 4: That was a significant amount of the content was organizations. 386 00:18:14,240 --> 00:18:18,520 Speaker 1: And I believe the application has many more users than 387 00:18:18,520 --> 00:18:22,000 Speaker 1: it used to, especially since Elon purchased it. But have 388 00:18:22,080 --> 00:18:27,080 Speaker 1: you noticed an increase in sort of non news organizations, 389 00:18:27,119 --> 00:18:29,080 Speaker 1: non verified Well. 390 00:18:29,119 --> 00:18:31,080 Speaker 4: There's certainly been an increase in what you want to call, 391 00:18:31,160 --> 00:18:34,920 Speaker 4: you know, fear mongering or just you know, clickbaiting. 392 00:18:34,400 --> 00:18:36,960 Speaker 2: Or putting something out there just to see or. 393 00:18:36,960 --> 00:18:38,159 Speaker 3: Just flat out disinformation. 394 00:18:38,240 --> 00:18:40,280 Speaker 4: You see this a lot on sports Twitter, where somebody 395 00:18:40,320 --> 00:18:43,439 Speaker 4: will will post something that is completely false. I'm making 396 00:18:43,480 --> 00:18:45,639 Speaker 4: this up, this isn't true, but it's something like, you know, 397 00:18:45,720 --> 00:18:48,040 Speaker 4: Aaron Rodgers has signed on to be the quarterback of 398 00:18:48,080 --> 00:18:50,399 Speaker 4: the Chicago Bears next year. They'll just post that and 399 00:18:50,440 --> 00:18:53,760 Speaker 4: a photo with Aaron Rodgers just because they know it 400 00:18:53,800 --> 00:18:56,399 Speaker 4: will get engagement, even though it is clearly false and 401 00:18:56,440 --> 00:18:58,159 Speaker 4: not true. And part of what's driven by this and 402 00:18:58,160 --> 00:18:59,480 Speaker 4: I think you see it on the other social media 403 00:18:59,480 --> 00:19:04,400 Speaker 4: platforms too, But once creators could start monetizing their content. 404 00:19:04,440 --> 00:19:06,480 Speaker 3: Slowly, over the last couple of years, all these social. 405 00:19:06,280 --> 00:19:08,560 Speaker 4: Media platforms have come out with their own creator funds, 406 00:19:08,600 --> 00:19:10,600 Speaker 4: and you've got to have a certain number of followers 407 00:19:10,640 --> 00:19:12,560 Speaker 4: a certain amount of engagement to qualify for it. 408 00:19:12,600 --> 00:19:14,600 Speaker 3: But once you go into it, you start. 409 00:19:14,440 --> 00:19:17,240 Speaker 4: Getting paid for all the engagement that you have, whether 410 00:19:17,400 --> 00:19:22,040 Speaker 4: that's good engagement that's based on a good factual piece 411 00:19:22,080 --> 00:19:24,520 Speaker 4: of content that you put out, or whether it's you know, 412 00:19:24,680 --> 00:19:27,320 Speaker 4: posting that Aaron Rodgers see yeah, posting that Aaron Rodgers 413 00:19:27,400 --> 00:19:28,960 Speaker 4: is going to be the quarterback in the Chicago Bears 414 00:19:29,000 --> 00:19:32,000 Speaker 4: next year your engagement, the engagement's the same and you're 415 00:19:32,080 --> 00:19:32,800 Speaker 4: getting paid the section. 416 00:19:33,080 --> 00:19:35,000 Speaker 3: So I think that's what you have seen on all. 417 00:19:35,040 --> 00:19:36,879 Speaker 4: It's not just Twitter, it's the other platforms because you 418 00:19:36,880 --> 00:19:39,920 Speaker 4: can do the same on TikTok and Facebook and Instagram. 419 00:19:39,960 --> 00:19:42,360 Speaker 4: That as soon as people started getting paid for their content, 420 00:19:43,400 --> 00:19:45,040 Speaker 4: you see a lot of bad actors out there that 421 00:19:45,080 --> 00:19:47,840 Speaker 4: are just clickbaiting and doing anything to get that engagement 422 00:19:47,840 --> 00:19:49,560 Speaker 4: because it's real dollars in their pocket. 423 00:19:49,640 --> 00:19:52,280 Speaker 2: Yep, you could find me at Casey Daniel's three one seven. 424 00:19:52,320 --> 00:19:53,200 Speaker 2: By the way, this. 425 00:19:53,280 --> 00:20:05,719 Speaker 1: Is the Kennelly Casey Show. It's ninety three WYBC. So 426 00:20:05,760 --> 00:20:08,000 Speaker 1: there's a deadline coming up on a Friday. There are 427 00:20:08,119 --> 00:20:12,560 Speaker 1: six appropriation bills that have not yet passed in the Senate, 428 00:20:13,320 --> 00:20:16,640 Speaker 1: and the sixth bills yet to pass cover the Department 429 00:20:16,680 --> 00:20:20,920 Speaker 1: of Defense, Labor, Health and Human Services, Transportation, the State 430 00:20:20,960 --> 00:20:25,480 Speaker 1: Department and Treasury, and also the Department of Homeland Security. 431 00:20:25,680 --> 00:20:29,879 Speaker 1: And this threat down looming as you've got Senate Democrats 432 00:20:29,880 --> 00:20:33,639 Speaker 1: who are pledging to block funding after that shooting that 433 00:20:33,720 --> 00:20:35,200 Speaker 1: took place in Minneapolis. 434 00:20:35,400 --> 00:20:38,639 Speaker 4: Yeah, so what you're talking about is another potential government. 435 00:20:38,200 --> 00:20:41,159 Speaker 3: Shut down again, shut down Hey, the first one in 436 00:20:41,240 --> 00:20:42,879 Speaker 3: twenty twenty six. How many do you think we're going 437 00:20:42,920 --> 00:20:44,720 Speaker 3: to have this year? Right? Could be a lot. 438 00:20:44,800 --> 00:20:50,479 Speaker 4: And yes, the Senate in Washington, DC is in session today. 439 00:20:51,000 --> 00:20:52,879 Speaker 4: They're hoping to have a Senate vote today that will 440 00:20:52,960 --> 00:20:56,040 Speaker 4: keep the federal government open. But the Democrats have come 441 00:20:56,080 --> 00:20:58,760 Speaker 4: out and said they will not vote for anything that 442 00:20:58,840 --> 00:21:02,679 Speaker 4: keeps the government open, that if it includes funding for 443 00:21:02,760 --> 00:21:06,840 Speaker 4: the Department of Homeland Security, which is the broader division 444 00:21:06,840 --> 00:21:09,520 Speaker 4: that oversees ICE. And so this is going to be 445 00:21:09,560 --> 00:21:11,760 Speaker 4: the next hill that the Senate that the Democrats want 446 00:21:11,760 --> 00:21:14,360 Speaker 4: to die on to create a government shutdown. Last time 447 00:21:14,400 --> 00:21:17,000 Speaker 4: it was over Obamacare subsidies. This time it's going to 448 00:21:17,000 --> 00:21:18,760 Speaker 4: be funding for the Department of Homeland Security. 449 00:21:18,800 --> 00:21:20,159 Speaker 2: It's always got to be something, right. 450 00:21:20,119 --> 00:21:21,879 Speaker 4: It does always have to be something, And this is 451 00:21:22,760 --> 00:21:24,560 Speaker 4: and that's what everybody was talking about. It seems like 452 00:21:24,720 --> 00:21:27,399 Speaker 4: the Democrats want to sit there and just pick something 453 00:21:27,480 --> 00:21:29,600 Speaker 4: out of the air that they think can get people 454 00:21:29,680 --> 00:21:32,360 Speaker 4: riled up the most. Everybody was talking about how expensive 455 00:21:32,400 --> 00:21:34,800 Speaker 4: healthcare is and health insurance is. Okay, so now we're 456 00:21:34,800 --> 00:21:37,879 Speaker 4: going to die on this hill of needing Obamacare subsidies 457 00:21:37,920 --> 00:21:40,440 Speaker 4: before we vote to fund the government, and now everybody's 458 00:21:40,480 --> 00:21:42,399 Speaker 4: talking about ICE, and so that's what they're going to 459 00:21:42,560 --> 00:21:44,840 Speaker 4: hang their hat on and declare that we have to 460 00:21:44,840 --> 00:21:47,280 Speaker 4: defund the Department of Homeland Security if they're going to 461 00:21:47,320 --> 00:21:48,720 Speaker 4: vote for the government to continue. 462 00:21:48,800 --> 00:21:52,800 Speaker 1: So you've got the Democrat minority leader Chuck Schumer. He 463 00:21:52,880 --> 00:21:55,280 Speaker 1: was urging the GOP to advance the other five bills 464 00:21:55,920 --> 00:22:01,080 Speaker 1: without DHS. He said, he's willing to renegotiate ds separately, 465 00:22:01,480 --> 00:22:04,000 Speaker 1: but here is something to consider, and Ran Paul put 466 00:22:04,000 --> 00:22:06,760 Speaker 1: this out. He said, the Senate is debating another ten 467 00:22:06,880 --> 00:22:11,120 Speaker 1: billion for ICE, but Congress already locked in nearly nineteen 468 00:22:11,200 --> 00:22:14,880 Speaker 1: billion a year ago for four years. So even if 469 00:22:14,880 --> 00:22:17,520 Speaker 1: it fails, ICE is still going to have about eighty 470 00:22:17,560 --> 00:22:21,960 Speaker 1: percent eighty seven percent more funding than they had last year. 471 00:22:22,040 --> 00:22:23,320 Speaker 3: And they're asking for more. 472 00:22:23,400 --> 00:22:26,439 Speaker 1: They're asking for a lot more, right, so you have 473 00:22:26,520 --> 00:22:30,920 Speaker 1: to question, you know, it's just never enough, It's never 474 00:22:31,240 --> 00:22:32,400 Speaker 1: enough of your money. 475 00:22:32,760 --> 00:22:34,520 Speaker 4: And this is the part where you can get upset 476 00:22:34,520 --> 00:22:36,720 Speaker 4: if you want to, because I certainly am is. This 477 00:22:36,760 --> 00:22:38,959 Speaker 4: is where the uniparty is the strongest. And that's when 478 00:22:39,000 --> 00:22:41,480 Speaker 4: it comes to federal spending. Both parties are going to 479 00:22:41,520 --> 00:22:44,600 Speaker 4: spend all the money they get, and then some, and 480 00:22:44,640 --> 00:22:47,040 Speaker 4: they keep asking for more and then a lot, proven 481 00:22:47,040 --> 00:22:49,520 Speaker 4: by the fact that our current national debt is thirty 482 00:22:49,560 --> 00:22:51,560 Speaker 4: eight and a half trillion dollars. 483 00:22:52,400 --> 00:22:53,880 Speaker 3: So they're always going to spend more money. 484 00:22:53,920 --> 00:22:56,600 Speaker 4: And that comes from both the Republicans and the Democrats. 485 00:22:56,800 --> 00:23:00,840 Speaker 1: So you've got John Fetterman, and he's telling Democrats know 486 00:23:01,280 --> 00:23:03,480 Speaker 1: he's not going to be shutting down the government this week. 487 00:23:03,520 --> 00:23:07,000 Speaker 1: He said he won't defund DHS or EYES. That is 488 00:23:07,040 --> 00:23:10,440 Speaker 1: making Chuck Schumer very furious. And he said he'll never 489 00:23:10,720 --> 00:23:13,880 Speaker 1: vote to shut our government down, and he rejects all 490 00:23:13,920 --> 00:23:17,600 Speaker 1: of the calls to defund or abolish ICE. Now you 491 00:23:17,680 --> 00:23:20,560 Speaker 1: might remember back in November of twenty five, during the 492 00:23:20,640 --> 00:23:24,320 Speaker 1: last shutdown, he said that his party crossed a line. 493 00:23:24,840 --> 00:23:29,000 Speaker 6: I mean so so relieved. I mean, I think my 494 00:23:29,160 --> 00:23:35,119 Speaker 6: party crossed a line of now putting forty two American 495 00:23:35,760 --> 00:23:40,119 Speaker 6: place should be forty two million Americans with their snap benefits, 496 00:23:40,920 --> 00:23:44,760 Speaker 6: and making flying less safe and that kind of chaos 497 00:23:44,960 --> 00:23:47,639 Speaker 6: and not paying our military. I mean that that was 498 00:23:47,680 --> 00:23:50,280 Speaker 6: a red line for me that I can't cross as 499 00:23:50,320 --> 00:23:54,880 Speaker 6: a Democrat. And I think that's been described country over 500 00:23:54,960 --> 00:23:57,720 Speaker 6: the party. And now that I think that's been the 501 00:23:57,760 --> 00:24:00,560 Speaker 6: truth throughout it and it's only wrong to shut our 502 00:24:00,600 --> 00:24:03,439 Speaker 6: government down. And I'm relieved. But the people now that 503 00:24:03,480 --> 00:24:07,119 Speaker 6: are going to get paid and fed and millions, millions 504 00:24:07,160 --> 00:24:08,840 Speaker 6: of America and they're going to be flying now that's 505 00:24:08,880 --> 00:24:10,840 Speaker 6: going to be made more safe and restored. 506 00:24:11,600 --> 00:24:13,399 Speaker 1: So there he is pointing out all the things that 507 00:24:13,440 --> 00:24:17,160 Speaker 1: you mentioned about the last government shutdown. He said he'd 508 00:24:17,200 --> 00:24:19,800 Speaker 1: like to see changes, but he's still not going to 509 00:24:19,880 --> 00:24:22,280 Speaker 1: vote to shut the government down. He wants to keep 510 00:24:22,320 --> 00:24:24,760 Speaker 1: it open, even if that comes at the cost of 511 00:24:24,840 --> 00:24:25,919 Speaker 1: breaking with Democrats. 512 00:24:26,080 --> 00:24:26,359 Speaker 3: Yeah. 513 00:24:26,400 --> 00:24:29,960 Speaker 4: Well, hey, Democrats and Republicans both hate government shutdowns because 514 00:24:29,960 --> 00:24:32,840 Speaker 4: a government shutdown means they're no longer spending your money, 515 00:24:33,000 --> 00:24:34,960 Speaker 4: and that's what they love to do more than anything 516 00:24:34,960 --> 00:24:37,000 Speaker 4: else in the world, is spend all of your money. 517 00:24:37,000 --> 00:24:39,120 Speaker 4: By the way, this deadline is coming up pretty soon. 518 00:24:39,359 --> 00:24:43,960 Speaker 4: This partial shutdown could take effect on midnight Friday night. 519 00:24:43,960 --> 00:24:45,359 Speaker 3: So that's just a couple of days away. 520 00:24:45,400 --> 00:24:47,680 Speaker 4: So my guess is not going to be the last 521 00:24:47,680 --> 00:24:50,200 Speaker 4: time this week that we're talking about a potential government shutdown. 522 00:24:50,359 --> 00:24:54,240 Speaker 1: Well, Fetterman becoming an issue for Democrats if he continues 523 00:24:54,280 --> 00:24:58,199 Speaker 1: along the path that he is now imagine this, his 524 00:24:58,359 --> 00:24:59,800 Speaker 1: approval rating. 525 00:25:00,040 --> 00:25:02,280 Speaker 2: Has gone up to a career high. 526 00:25:02,840 --> 00:25:08,040 Speaker 1: He's gained fifteen points, and that is as he continues 527 00:25:08,480 --> 00:25:11,520 Speaker 1: to break with the Democrat Party and he says, you 528 00:25:11,520 --> 00:25:15,080 Speaker 1: know what, I represent the people of Pennsylvania with. 529 00:25:15,080 --> 00:25:18,119 Speaker 6: The president or with the other side in this you know, 530 00:25:18,280 --> 00:25:21,000 Speaker 6: very very polarized kind of time. But you know, I 531 00:25:21,000 --> 00:25:23,199 Speaker 6: would rather just be very honest, to just kind of 532 00:25:23,760 --> 00:25:26,320 Speaker 6: play it straight. You know, I would rather be a 533 00:25:26,359 --> 00:25:29,000 Speaker 6: great honest senator than one that's just only going to 534 00:25:29,040 --> 00:25:29,520 Speaker 6: play to. 535 00:25:29,640 --> 00:25:30,480 Speaker 3: Just one side. 536 00:25:30,560 --> 00:25:34,200 Speaker 6: I represent Pennsylvania, the most purple state in the country. 537 00:25:34,720 --> 00:25:40,359 Speaker 6: I don't just represent Democrats. I represent thirteen million Pennsylvania's 538 00:25:40,560 --> 00:25:43,000 Speaker 6: and I try to just play it straight. And I 539 00:25:43,080 --> 00:25:46,080 Speaker 6: have to think that's I think that's my responsibility. 540 00:25:47,000 --> 00:25:49,160 Speaker 2: He just called himself an honest senator. 541 00:25:49,640 --> 00:25:49,960 Speaker 3: Weird. 542 00:25:50,160 --> 00:25:51,760 Speaker 4: I don't know if I believe him on that. It'll 543 00:25:51,760 --> 00:25:54,119 Speaker 4: take some time to figure it out. John Fetterman is 544 00:25:54,119 --> 00:25:57,680 Speaker 4: a problem for the Democrats because this is every single 545 00:25:58,480 --> 00:26:01,840 Speaker 4: big hot button issue that raises to the national level 546 00:26:01,880 --> 00:26:03,600 Speaker 4: that people are talking about. And we can go back 547 00:26:03,640 --> 00:26:06,719 Speaker 4: to his support for Israel during the war with Gaza 548 00:26:07,160 --> 00:26:12,040 Speaker 4: Is denouncing the No Kings rallies which were so big 549 00:26:12,080 --> 00:26:14,840 Speaker 4: and supported by Democrats all around the country, and Fetterman 550 00:26:14,920 --> 00:26:16,200 Speaker 4: came out and said, you know, this is dumb. 551 00:26:16,200 --> 00:26:17,120 Speaker 3: What are we doing here? 552 00:26:17,359 --> 00:26:19,880 Speaker 4: And now with the government the last government shut down 553 00:26:20,080 --> 00:26:23,520 Speaker 4: and with this government shutdown, he keeps bucking Democrats and. 554 00:26:23,400 --> 00:26:26,800 Speaker 3: It's working for him. He's up fifteen points in the pole. 555 00:26:27,320 --> 00:26:29,520 Speaker 4: Guess what John Fetterman's going to keep doing if that's 556 00:26:29,560 --> 00:26:32,000 Speaker 4: the case, when he's going to keep going against the 557 00:26:32,080 --> 00:26:34,000 Speaker 4: Democrats because it's doing it for him. 558 00:26:34,119 --> 00:26:34,600 Speaker 2: Yeah. 559 00:26:34,800 --> 00:26:37,840 Speaker 1: Every year some fans look for hidden messages in NFL 560 00:26:37,880 --> 00:26:44,040 Speaker 1: logos or graphics, and often they they come up with 561 00:26:44,119 --> 00:26:47,520 Speaker 1: some conspiracy theories about the logos and graphics, and this 562 00:26:47,640 --> 00:26:52,440 Speaker 1: year is no different. There was a graphic posted and 563 00:26:52,560 --> 00:26:55,639 Speaker 1: it featured some players from all thirty two NFL teams, 564 00:26:55,960 --> 00:26:59,760 Speaker 1: but the caption said thirty two teams with February dreams. 565 00:27:00,240 --> 00:27:01,359 Speaker 2: We're so back. 566 00:27:01,840 --> 00:27:05,800 Speaker 1: The issue is that the two quarterbacks for the teams 567 00:27:05,800 --> 00:27:07,600 Speaker 1: that are actually going to be in the Super Bowl 568 00:27:07,920 --> 00:27:12,640 Speaker 1: are closest to the Lombardi Trophy in the graphic, and 569 00:27:12,680 --> 00:27:15,640 Speaker 1: that's where people are saying this is a leaked script. 570 00:27:15,880 --> 00:27:19,399 Speaker 4: Look, if you want to sit here and say that 571 00:27:19,440 --> 00:27:22,760 Speaker 4: the NFL is fixed and it's scripted out, and you've 572 00:27:22,800 --> 00:27:25,600 Speaker 4: got some evidence to prove that out. Fine, I'd love 573 00:27:25,640 --> 00:27:28,359 Speaker 4: to hear it. But this silly little graphic that the 574 00:27:28,480 --> 00:27:31,439 Speaker 4: NFL put out ages ago, and I'm looking at it 575 00:27:31,520 --> 00:27:35,200 Speaker 4: right now. And yes, the two quarterbacks that are going 576 00:27:35,200 --> 00:27:37,679 Speaker 4: to be in the Super Bowl are kind of upfront 577 00:27:37,720 --> 00:27:41,040 Speaker 4: and closest. That's Sam Darnold and Drake may but also 578 00:27:41,160 --> 00:27:43,600 Speaker 4: upfront with them, Baker Mayfield is right up front on 579 00:27:43,680 --> 00:27:46,000 Speaker 4: the same line. Travis Hunter is right up front on 580 00:27:46,040 --> 00:27:51,240 Speaker 4: the same line. But here's the issue with that. The 581 00:27:51,600 --> 00:27:54,600 Speaker 4: image is taken from the perspective of somebody that's all 582 00:27:54,640 --> 00:27:56,800 Speaker 4: the way in the back. So the ones that are 583 00:27:56,800 --> 00:27:59,320 Speaker 4: closest to the stadium are at the front. Those are 584 00:27:59,359 --> 00:28:02,560 Speaker 4: the farthest way and you can't see them as easily. 585 00:28:02,920 --> 00:28:03,600 Speaker 3: So the ones that. 586 00:28:03,600 --> 00:28:06,960 Speaker 4: Are very small, exactly, they're tiny. They're like almost the 587 00:28:07,000 --> 00:28:10,159 Speaker 4: most insignificant. It's the quarterbacks that are closest to the 588 00:28:10,240 --> 00:28:13,000 Speaker 4: camera or the perspective on this one that are going 589 00:28:13,040 --> 00:28:16,119 Speaker 4: to be the people that are highlighted that everybody knows of, like, 590 00:28:16,160 --> 00:28:19,400 Speaker 4: for example, Saquon Barkley of the Eagles, the current defending 591 00:28:19,480 --> 00:28:22,280 Speaker 4: Zuper Bowl Champs. He's right up there, Rock Perdy from 592 00:28:22,320 --> 00:28:24,879 Speaker 4: the forty nine ers, Joe Burrow, Patrick Mahomes. These are 593 00:28:24,880 --> 00:28:28,040 Speaker 4: the guys that are much more prominently featured in this graphic. 594 00:28:28,119 --> 00:28:30,479 Speaker 3: What are we doing here? Come on, this is a 595 00:28:30,560 --> 00:28:32,200 Speaker 3: stretch to say. 596 00:28:31,960 --> 00:28:35,359 Speaker 2: That this is the NFL for something in everything everything. 597 00:28:35,440 --> 00:28:38,920 Speaker 3: We're right analyzing every graphic. 598 00:28:38,600 --> 00:28:42,120 Speaker 4: The NFL puts out like it's the Zapruder film, frame 599 00:28:42,240 --> 00:28:45,000 Speaker 4: by frame to look for any clue to where I 600 00:28:45,040 --> 00:28:48,160 Speaker 4: can run right to Twitter and create some fake outrage 601 00:28:48,160 --> 00:28:50,960 Speaker 4: and engagement about how the NFL is scripted. If you 602 00:28:51,000 --> 00:28:53,800 Speaker 4: want to take that tact, great, find some better evidence 603 00:28:53,840 --> 00:28:56,040 Speaker 4: than what people are currently currently talking about with this 604 00:28:56,120 --> 00:28:57,240 Speaker 4: graphic in this image. 605 00:28:57,280 --> 00:29:01,040 Speaker 1: So the NFL VP of Communications that there's no hidden 606 00:29:01,080 --> 00:29:05,080 Speaker 1: message or prophecy in the graphic and that there should 607 00:29:05,120 --> 00:29:08,160 Speaker 1: be no controversy over the image either. So there was 608 00:29:08,240 --> 00:29:12,200 Speaker 1: an article that came out and it listed popular names 609 00:29:12,760 --> 00:29:16,479 Speaker 1: that are coming back the top twenty five girls' names, 610 00:29:16,680 --> 00:29:17,760 Speaker 1: and they. 611 00:29:17,600 --> 00:29:20,880 Speaker 2: Are would you say, more old fashioned? 612 00:29:21,000 --> 00:29:23,280 Speaker 3: Yeah, really interesting fashion names. 613 00:29:23,680 --> 00:29:27,040 Speaker 1: And they came up with a list of timeless classic 614 00:29:27,160 --> 00:29:29,800 Speaker 1: names that are a little bit more dated. 615 00:29:29,880 --> 00:29:30,080 Speaker 2: I know. 616 00:29:30,120 --> 00:29:31,960 Speaker 1: There was a trend for a while that you would 617 00:29:32,040 --> 00:29:34,480 Speaker 1: name your children after grandparents. 618 00:29:35,080 --> 00:29:36,800 Speaker 3: Yeah, I for a long time. 619 00:29:36,880 --> 00:29:39,560 Speaker 4: I mean there was always that was the predominant way 620 00:29:39,640 --> 00:29:42,680 Speaker 4: that people were named. You either took a name out 621 00:29:42,680 --> 00:29:44,640 Speaker 4: of the Bible or you took some sort of family 622 00:29:44,720 --> 00:29:45,880 Speaker 4: name and used that instead. 623 00:29:46,200 --> 00:29:48,920 Speaker 1: One of the most common names that they're saying is 624 00:29:49,040 --> 00:29:51,640 Speaker 1: now dated. Oh and I feel bad for my mom 625 00:29:51,640 --> 00:29:52,560 Speaker 1: because it's her name. 626 00:29:52,880 --> 00:29:53,240 Speaker 2: Mary. 627 00:29:53,760 --> 00:29:56,720 Speaker 3: Oh, that's fallen off the list. It's not a popular 628 00:29:56,760 --> 00:29:57,400 Speaker 3: one anymore. 629 00:29:57,680 --> 00:30:01,080 Speaker 4: Dorothy, Betty, Helen, these are all Wait a minute, these 630 00:30:01,080 --> 00:30:03,400 Speaker 4: are all names that are not as popular as they 631 00:30:03,480 --> 00:30:03,800 Speaker 4: used to be. 632 00:30:03,960 --> 00:30:07,600 Speaker 1: Well, yeah, they're saying that these are dated choices. You've 633 00:30:07,640 --> 00:30:10,920 Speaker 1: got Ruth, Doris, Virginia, Mildred. 634 00:30:11,520 --> 00:30:12,880 Speaker 3: Mildred is an outdated name. 635 00:30:12,920 --> 00:30:16,280 Speaker 4: I can't Frances, can't see anybody naming a little baby 636 00:30:16,320 --> 00:30:18,720 Speaker 4: girl Mildred these days, even if it is a great 637 00:30:18,720 --> 00:30:19,320 Speaker 4: family name. 638 00:30:19,360 --> 00:30:21,360 Speaker 3: That would be a tough one to deal with. 639 00:30:21,480 --> 00:30:29,080 Speaker 1: Anna, Barbara, Alice, Gloria, Patricia, Martha, and Rose are all 640 00:30:29,200 --> 00:30:29,800 Speaker 1: on the list. 641 00:30:30,200 --> 00:30:33,160 Speaker 4: Interesting and again, you know some of those obviously, Mary 642 00:30:33,280 --> 00:30:36,880 Speaker 4: especially certainly driven a lot through history by the Bible. 643 00:30:37,200 --> 00:30:41,440 Speaker 4: But yeah, a lot of absolutely family traditional family names 644 00:30:41,480 --> 00:30:42,600 Speaker 4: part of that list for girls. 645 00:30:42,680 --> 00:30:44,040 Speaker 2: Now I've got the boys' names. 646 00:30:44,240 --> 00:30:46,640 Speaker 3: And again these are names that are. 647 00:30:47,560 --> 00:30:50,440 Speaker 2: Old fashioned and falling out of favor, falling. 648 00:30:50,120 --> 00:30:52,960 Speaker 4: Out of favor, so not as popular as what they 649 00:30:53,040 --> 00:30:55,600 Speaker 4: might want, you know, had been at one point in time. 650 00:30:55,680 --> 00:30:57,920 Speaker 2: Yeah, and I've got bad news for you, oh boy. 651 00:30:58,240 --> 00:30:59,320 Speaker 2: National Gym Day. 652 00:31:00,240 --> 00:31:02,800 Speaker 4: Day, which I declared earlier on this program today is 653 00:31:02,880 --> 00:31:03,640 Speaker 4: National Gym Day. 654 00:31:03,640 --> 00:31:04,360 Speaker 3: Anybody can make it. 655 00:31:04,400 --> 00:31:08,480 Speaker 1: Dection Henry twenty seventh, who knew on National Jim Day 656 00:31:09,080 --> 00:31:10,520 Speaker 1: your name has fallen out of favor. 657 00:31:10,720 --> 00:31:13,760 Speaker 3: Yeah, you don't see as many James as you used to. 658 00:31:14,080 --> 00:31:27,600 Speaker 1: Robert, John, William, James, Charles, George, Richard, Joseph, Donald, Edward, Thomas, Frank, Paul, Harold, Raymond, Jack, Walter, Kenneth, Henry, Arthur, Albert, David, Eugene, Ralph, 659 00:31:27,720 --> 00:31:28,400 Speaker 1: and Henry. 660 00:31:29,120 --> 00:31:31,680 Speaker 3: I get Richard. I understand that. 661 00:31:32,680 --> 00:31:35,200 Speaker 4: Yeah, that kind of cultural times have changed since Richard 662 00:31:35,240 --> 00:31:38,160 Speaker 4: was a popular name, and today that would that would 663 00:31:38,360 --> 00:31:40,640 Speaker 4: that would be that would be difficult to name. 664 00:31:40,480 --> 00:31:42,840 Speaker 3: Your your baby boy Richard in today's day and age. 665 00:31:42,840 --> 00:31:46,080 Speaker 1: A lot of names from nineteen twenty six, that's when 666 00:31:46,080 --> 00:31:48,160 Speaker 1: these names were very popular. 667 00:31:48,440 --> 00:31:49,680 Speaker 2: Standing the test of time. 668 00:31:49,760 --> 00:31:56,520 Speaker 1: Others faded in popularity, and it does reflect the changing tastes. 669 00:31:56,600 --> 00:31:57,400 Speaker 2: Over a century. 670 00:31:57,440 --> 00:32:01,160 Speaker 4: And I will names that over decade, these things tend 671 00:32:01,200 --> 00:32:03,840 Speaker 4: to end up coming back as well. It wouldn't surprise 672 00:32:03,920 --> 00:32:07,400 Speaker 4: me that that more traditional boys' names. You know, right 673 00:32:07,440 --> 00:32:10,240 Speaker 4: now it seems that every boy is named you know, Owen, 674 00:32:10,520 --> 00:32:14,840 Speaker 4: Hunter and Chad and Noah. That will play itself out 675 00:32:14,880 --> 00:32:17,920 Speaker 4: over decades. And then my guess is you'll see the Roberts, John's, 676 00:32:18,040 --> 00:32:20,280 Speaker 4: James Bill's coming back in fashion again. 677 00:32:20,520 --> 00:32:23,560 Speaker 2: It is the Kennelly Casey Show. It's ninety three WIBC. 678 00:32:29,160 --> 00:32:31,320 Speaker 1: He did it in one hour, thirty one minutes and 679 00:32:31,360 --> 00:32:34,400 Speaker 1: forty seconds and it was stream lived on Netflix. 680 00:32:34,560 --> 00:32:37,880 Speaker 2: And I say, he's crazy. Guy's nuts. I can never 681 00:32:37,960 --> 00:32:39,360 Speaker 2: do this in a million years. 682 00:32:39,600 --> 00:32:42,240 Speaker 4: You get nervous going up in an elevator. I remember 683 00:32:42,240 --> 00:32:44,240 Speaker 4: one time we were in the in the uh the 684 00:32:44,440 --> 00:32:46,960 Speaker 4: I think it was. It was the Sears Tower in Chicago. 685 00:32:47,040 --> 00:32:48,880 Speaker 4: I refused to call it the Willis Tower. It's always 686 00:32:48,880 --> 00:32:50,920 Speaker 4: going to be a tower with that. And we were 687 00:32:51,000 --> 00:32:54,480 Speaker 4: going up the elevator and there are these video screens 688 00:32:55,000 --> 00:32:57,200 Speaker 4: on the wall of the elevator and the Sears Tower 689 00:32:57,280 --> 00:32:59,959 Speaker 4: that kind of show you where you're at, where you're at, 690 00:33:00,200 --> 00:33:02,520 Speaker 4: and so you get this sense that you can kind 691 00:33:02,520 --> 00:33:04,720 Speaker 4: of like see. It's almost like you're looking through a window, 692 00:33:04,720 --> 00:33:06,960 Speaker 4: although not quite, but you kind of feel yourself going 693 00:33:07,040 --> 00:33:07,360 Speaker 4: up there. 694 00:33:07,360 --> 00:33:08,560 Speaker 3: And when we you were. 695 00:33:08,440 --> 00:33:11,040 Speaker 4: Grabbing on to me for dear life while we were 696 00:33:11,040 --> 00:33:12,040 Speaker 4: going up that elevator. 697 00:33:12,080 --> 00:33:15,280 Speaker 3: So yes, I have no doubt that this is absolutely nothing. 698 00:33:15,320 --> 00:33:16,280 Speaker 3: You would even come close. Now. 699 00:33:16,360 --> 00:33:17,000 Speaker 2: When we did go. 700 00:33:16,960 --> 00:33:18,760 Speaker 1: All the way up, they have those boxes that you 701 00:33:18,800 --> 00:33:20,840 Speaker 1: can step out into the glass box. 702 00:33:21,120 --> 00:33:22,840 Speaker 4: I can't remember what those are called, but one of 703 00:33:22,880 --> 00:33:24,760 Speaker 4: them leans out and you kind of like put your 704 00:33:24,800 --> 00:33:26,320 Speaker 4: forehead stumped into one. 705 00:33:27,160 --> 00:33:28,600 Speaker 3: I struggled, nearly. 706 00:33:28,440 --> 00:33:30,640 Speaker 2: Threw up on myself. Yeah, okay, we're done. 707 00:33:30,960 --> 00:33:33,240 Speaker 4: I struggled. I was okay in the elevator. But but 708 00:33:33,240 --> 00:33:34,760 Speaker 4: but but those whatever. 709 00:33:34,440 --> 00:33:35,280 Speaker 2: There's thing about that. 710 00:33:35,360 --> 00:33:37,880 Speaker 1: It was it was a cloudy day, so you really 711 00:33:37,880 --> 00:33:38,800 Speaker 1: couldn't see down. 712 00:33:39,560 --> 00:33:41,880 Speaker 2: Uh, you just felt like you were you were up 713 00:33:41,880 --> 00:33:42,400 Speaker 2: in the clouds. 714 00:33:42,400 --> 00:33:44,000 Speaker 4: So can you imagine what you would have been like 715 00:33:44,040 --> 00:33:46,200 Speaker 4: if it was a clear, sunny day and you could 716 00:33:46,240 --> 00:33:47,920 Speaker 4: see a thousand feet to the crowd. 717 00:33:48,000 --> 00:33:48,960 Speaker 2: Oh thank you. 718 00:33:49,160 --> 00:33:53,440 Speaker 1: This guy his name is Alex Hanauld and he climbed 719 00:33:53,480 --> 00:33:55,640 Speaker 1: a building in Taiwan. 720 00:33:55,720 --> 00:33:57,360 Speaker 2: It's called the Taipei one oh one. 721 00:33:57,920 --> 00:34:00,200 Speaker 1: How tall is this? It's a one hundred and one 722 00:34:00,240 --> 00:34:05,160 Speaker 1: story skyscraper. It's one thousand and six hundred sixty seven 723 00:34:05,240 --> 00:34:09,480 Speaker 1: feet tall. It is the eleventh tallest building in the world. 724 00:34:10,160 --> 00:34:14,520 Speaker 1: Dude climbed up to the summit, took a selfie, got 725 00:34:14,560 --> 00:34:17,520 Speaker 1: paid to do it, and then climbed down. Now, the 726 00:34:17,560 --> 00:34:21,400 Speaker 1: thing about this not only because it's very tall and 727 00:34:21,440 --> 00:34:25,640 Speaker 1: that gives me the feet sweats, it's also the highest 728 00:34:25,760 --> 00:34:30,960 Speaker 1: urban freeze solo ascent in history. He used no ropes, 729 00:34:31,560 --> 00:34:33,680 Speaker 1: no nothing, Yeah, you get up there. 730 00:34:33,719 --> 00:34:35,640 Speaker 2: He used his hands in his feet and just. 731 00:34:35,600 --> 00:34:38,480 Speaker 4: Talking about this, the palms of my hands are sweating 732 00:34:38,560 --> 00:34:41,120 Speaker 4: just talking about this that. I don't care for heights 733 00:34:41,160 --> 00:34:43,560 Speaker 4: like that either. But yeah, he didn't use any climbing 734 00:34:43,600 --> 00:34:45,320 Speaker 4: gear on the way up. Now, used a harness on 735 00:34:45,360 --> 00:34:47,239 Speaker 4: the way down, okay, But on the way up he 736 00:34:47,280 --> 00:34:49,279 Speaker 4: had no harness. He had no I don't know what 737 00:34:49,320 --> 00:34:50,880 Speaker 4: those little picks are that you see. 738 00:34:50,960 --> 00:34:53,200 Speaker 2: You could chew. The building's made of glass. 739 00:34:53,040 --> 00:34:55,760 Speaker 4: But you could, you know, suction cups or nothing, something 740 00:34:55,880 --> 00:34:59,680 Speaker 4: like that. He just raw dogged an entire one hundred 741 00:34:59,719 --> 00:35:02,120 Speaker 4: and one, like Spider Man climbing on one hundred and 742 00:35:02,160 --> 00:35:03,960 Speaker 4: one story building normally. 743 00:35:04,480 --> 00:35:06,040 Speaker 3: I'm actually surprised we missed this. 744 00:35:06,040 --> 00:35:08,680 Speaker 4: This is the type of stupid televised event because it 745 00:35:08,719 --> 00:35:11,600 Speaker 4: was broadcast live on Netflix. This is the kind of 746 00:35:11,640 --> 00:35:14,279 Speaker 4: stupid televised event that I'm usually one hundred percent down 747 00:35:14,280 --> 00:35:17,040 Speaker 4: for right and watching something silly, something stupid. There was 748 00:35:17,080 --> 00:35:19,760 Speaker 4: somebody several years ago that did something in this country 749 00:35:19,800 --> 00:35:21,600 Speaker 4: that was similar to this. I can't remember what it was, 750 00:35:21,719 --> 00:35:25,120 Speaker 4: but this is part of a long history of stupid 751 00:35:25,160 --> 00:35:27,240 Speaker 4: things that we like people do. And I think evil 752 00:35:27,239 --> 00:35:29,400 Speaker 4: can evil. That comes to mind. Evil can Evil was 753 00:35:29,960 --> 00:35:32,520 Speaker 4: I mean, he was a superhero in the seventies. He 754 00:35:32,640 --> 00:35:36,720 Speaker 4: was jumping motorcycles at Caesar's Palace and breaking every bone 755 00:35:36,760 --> 00:35:38,920 Speaker 4: of his body, and everybody was turning it into ABC 756 00:35:39,040 --> 00:35:41,560 Speaker 4: Wild World of Sports just to watch it happen. I 757 00:35:41,719 --> 00:35:44,200 Speaker 4: get the thrill and the interest in this sort of thing, 758 00:35:44,400 --> 00:35:46,720 Speaker 4: and there is a history, at least in this country 759 00:35:46,880 --> 00:35:48,239 Speaker 4: of us being interested in it. 760 00:35:48,400 --> 00:35:50,239 Speaker 3: And this was a big deal. Netflix got a ton 761 00:35:50,280 --> 00:35:51,040 Speaker 3: of people watching it. 762 00:35:51,120 --> 00:35:51,360 Speaker 1: I know. 763 00:35:51,800 --> 00:35:54,200 Speaker 3: My social media was all about. 764 00:35:53,880 --> 00:35:55,799 Speaker 4: This over the weekend, with people talking about how they 765 00:35:55,840 --> 00:35:57,600 Speaker 4: watched it and it was an incredible feat. 766 00:35:57,840 --> 00:36:00,319 Speaker 1: So the building is made of steel and glass, it's 767 00:36:00,360 --> 00:36:03,680 Speaker 1: smoother than rock, so obviously that provides minimal group for 768 00:36:03,719 --> 00:36:04,120 Speaker 1: this guy. 769 00:36:04,640 --> 00:36:06,920 Speaker 2: Can you imagine the strength and. 770 00:36:06,960 --> 00:36:10,800 Speaker 1: Control he has to have in his hands and feet 771 00:36:11,360 --> 00:36:17,280 Speaker 1: to reposition mid climb and just keep going, elevating. 772 00:36:16,640 --> 00:36:20,560 Speaker 2: Yourself higher and higher. Forget, forget how. 773 00:36:20,480 --> 00:36:23,320 Speaker 4: High he was up in the sky from hundred one floors, 774 00:36:23,320 --> 00:36:24,399 Speaker 4: but I'll forget about that and. 775 00:36:24,280 --> 00:36:26,680 Speaker 1: How that would make me throw up all over myself. 776 00:36:27,040 --> 00:36:30,040 Speaker 1: But just imagine how strong he has to be to 777 00:36:30,080 --> 00:36:32,920 Speaker 1: be able to do that. I'm not talking mentally strong, 778 00:36:32,960 --> 00:36:34,440 Speaker 1: I'm talking physically strong. 779 00:36:34,520 --> 00:36:36,640 Speaker 4: And at the end of the day, what did we 780 00:36:36,719 --> 00:36:38,120 Speaker 4: accomplish by doing this? 781 00:36:38,600 --> 00:36:41,239 Speaker 1: Well, he made six figures. Somebody paid him to do it, 782 00:36:41,320 --> 00:36:42,480 Speaker 1: so he made some money. 783 00:36:43,040 --> 00:36:44,600 Speaker 3: Quite the athletic feet. 784 00:36:45,960 --> 00:36:47,399 Speaker 2: It is the Kendally Casey Show. 785 00:36:47,400 --> 00:36:52,920 Speaker 1: It's ninety three WIBC.