1 00:00:05,760 --> 00:00:12,360 Speaker 1: What goes up must come down, especially after an artificial boom. Okay, 2 00:00:12,720 --> 00:00:14,600 Speaker 1: are we on our way to a two thousand and 3 00:00:14,600 --> 00:00:17,680 Speaker 1: eight style crash in the housing market? I see a 4 00:00:17,680 --> 00:00:21,000 Speaker 1: lot of fear mongering that we are Is that the case? 5 00:00:21,160 --> 00:00:25,440 Speaker 1: There's a housing slump? It's spreading across the US. Prices 6 00:00:25,440 --> 00:00:27,760 Speaker 1: are now falling in a lot of cities. Is this 7 00:00:28,000 --> 00:00:32,760 Speaker 1: just correction from what we endured during the pandemic? Or 8 00:00:33,479 --> 00:00:36,279 Speaker 1: is there something deeper going on? So some markets are 9 00:00:36,280 --> 00:00:39,479 Speaker 1: losing value pandemic boom downs, especially in the South and 10 00:00:39,520 --> 00:00:43,440 Speaker 1: the West, places where remote workers were flooding in and 11 00:00:43,520 --> 00:00:46,599 Speaker 1: driving prices up, and now some of these cities are 12 00:00:46,640 --> 00:00:50,320 Speaker 1: facing rising supply and slower migration. You do have some 13 00:00:50,440 --> 00:00:55,000 Speaker 1: markets that are on the rise, like the Midwest, Northeast City, Chicago, Cleveland. 14 00:00:55,400 --> 00:01:02,600 Speaker 1: Housing stayed relatively the same even while play supplies remained tight. 15 00:01:02,800 --> 00:01:05,399 Speaker 1: But what do we have going on? Is this just 16 00:01:05,480 --> 00:01:07,760 Speaker 1: a correction from the pandemic? Well? 17 00:01:08,000 --> 00:01:10,560 Speaker 2: Look, ever, since twenty twenty one and twenty twenty two, 18 00:01:10,560 --> 00:01:12,800 Speaker 2: when housing prices went through the roof, seems like every 19 00:01:12,800 --> 00:01:15,399 Speaker 2: two or three months there's a big story or a 20 00:01:15,400 --> 00:01:18,760 Speaker 2: big report that talks about housing. Is overinflated and there's 21 00:01:18,800 --> 00:01:22,440 Speaker 2: a big crash coming, and there's no way this is sustainable. 22 00:01:22,640 --> 00:01:25,600 Speaker 2: Yet all we've seen is essentially housing at the very 23 00:01:25,680 --> 00:01:28,120 Speaker 2: least stay the same or continue to rise. I mean, 24 00:01:28,160 --> 00:01:31,200 Speaker 2: the average house is now over four hundred thousand dollars. 25 00:01:31,240 --> 00:01:34,760 Speaker 2: That's a national number. So I'm a little bit skeptical. 26 00:01:34,880 --> 00:01:37,880 Speaker 2: And another article that talks about a major housing crash 27 00:01:37,920 --> 00:01:40,520 Speaker 2: coming because of course if you dig into the details 28 00:01:40,520 --> 00:01:43,160 Speaker 2: in the article, when you think crash, when I think 29 00:01:43,280 --> 00:01:46,440 Speaker 2: crash like a stock market crash or a housing market crash, 30 00:01:46,560 --> 00:01:50,000 Speaker 2: I'm thinking price is coming down fifteen percent, twenty percent, 31 00:01:50,120 --> 00:01:54,080 Speaker 2: thirty percent. This article and this report from realtor dot 32 00:01:54,160 --> 00:01:57,040 Speaker 2: com says housing prices on average in the United States 33 00:01:57,080 --> 00:01:59,520 Speaker 2: in the last year have gone down two percent. 34 00:01:59,720 --> 00:02:02,400 Speaker 1: Yeah, so not exactly how a bunch of crash. 35 00:02:02,560 --> 00:02:04,440 Speaker 2: And you brought up a really good point that this 36 00:02:04,520 --> 00:02:07,600 Speaker 2: is all you know, housing is always regional and local, 37 00:02:07,640 --> 00:02:10,160 Speaker 2: and so you can have certain markets where prices are 38 00:02:10,160 --> 00:02:13,200 Speaker 2: through the roof and other markets where prices are going down. 39 00:02:13,400 --> 00:02:15,959 Speaker 2: US here in Central Indiana, that's what we care about. 40 00:02:17,680 --> 00:02:20,200 Speaker 2: Year over year, prices are up four percent, that's twice 41 00:02:20,240 --> 00:02:23,360 Speaker 2: the national average, and there's been a significant increase in 42 00:02:23,440 --> 00:02:26,600 Speaker 2: active listings. In fact, they've got the active listings are 43 00:02:26,680 --> 00:02:30,120 Speaker 2: up twenty four percent right now. So and the median 44 00:02:30,200 --> 00:02:33,960 Speaker 2: price in Indianapolis is just about three hundred and ten 45 00:02:34,040 --> 00:02:36,200 Speaker 2: thousand dollars, So keep that in mind. So you're going 46 00:02:36,280 --> 00:02:38,400 Speaker 2: to keep seeing these articles because we've been seeing them 47 00:02:38,400 --> 00:02:40,280 Speaker 2: ever since twenty one and twenty two with the big 48 00:02:40,320 --> 00:02:42,800 Speaker 2: housing run up. You keep seeing these articles about how 49 00:02:43,000 --> 00:02:45,840 Speaker 2: there's a big housing crash coming, this is unsustainable, we 50 00:02:45,919 --> 00:02:49,240 Speaker 2: can't do that now, run run, And I don't know 51 00:02:49,280 --> 00:02:50,640 Speaker 2: what the market's going to do. I don't know how 52 00:02:50,639 --> 00:02:52,880 Speaker 2: if housing's gonna go up or go down. But since 53 00:02:52,919 --> 00:02:55,640 Speaker 2: twenty twenty one, it's done nothing but go up. And 54 00:02:55,680 --> 00:02:58,200 Speaker 2: it's still up according to this article, even here in 55 00:02:58,240 --> 00:02:59,120 Speaker 2: Central Indiana. 56 00:02:59,160 --> 00:03:02,320 Speaker 1: And that divide maybe why some people feel like housing 57 00:03:02,440 --> 00:03:06,000 Speaker 1: is collapsing or it's about to collapse, while others feel like, 58 00:03:06,160 --> 00:03:09,360 Speaker 1: you know, it's it's not a crash, it's down a 59 00:03:09,400 --> 00:03:12,600 Speaker 1: little because you had some markets losing value and you 60 00:03:12,639 --> 00:03:15,480 Speaker 1: had some markets still rising. Now, during the pandemic, you 61 00:03:15,520 --> 00:03:19,480 Speaker 1: had people who fled the expensive coastal cities. You had 62 00:03:19,520 --> 00:03:23,040 Speaker 1: remote workers piling in the sun belt places, and then 63 00:03:23,440 --> 00:03:26,600 Speaker 1: you also had investors buying up properties assuming that prices 64 00:03:26,600 --> 00:03:31,080 Speaker 1: would just continue to go forever, and now possibly you 65 00:03:31,200 --> 00:03:36,520 Speaker 1: have this correction. So, in other words, housing markets not crashing, 66 00:03:36,840 --> 00:03:41,280 Speaker 1: their reverting back to reality. I mean, you did have 67 00:03:41,320 --> 00:03:46,040 Speaker 1: a once in a generation migration bubble happening, and that 68 00:03:46,240 --> 00:03:49,760 Speaker 1: bubble is over. Yes, it's over. Thinks are settling well. 69 00:03:49,800 --> 00:03:51,960 Speaker 2: But similar to what we talk about with inflation. You know, 70 00:03:52,000 --> 00:03:53,760 Speaker 2: when Biden was in office, we had you know, nine 71 00:03:53,800 --> 00:03:57,040 Speaker 2: percent inflation. Another year was seven percent inflation, and then 72 00:03:57,040 --> 00:04:00,320 Speaker 2: people talk about, oh, inflation came down. Yeah, the rate 73 00:04:00,360 --> 00:04:03,040 Speaker 2: of inflation came down, but that doesn't mean the prices 74 00:04:03,040 --> 00:04:06,400 Speaker 2: for everything came down. So there's a difference there. And yes, okay, 75 00:04:06,480 --> 00:04:09,120 Speaker 2: maybe the price of housing isn't going up at the 76 00:04:09,200 --> 00:04:11,760 Speaker 2: rate that it was going before, but we're not seeing 77 00:04:11,800 --> 00:04:14,240 Speaker 2: some massive crash in housing. Here's the other thing to 78 00:04:14,240 --> 00:04:16,120 Speaker 2: be on the lookout too when you see these articles 79 00:04:16,320 --> 00:04:18,160 Speaker 2: is you'll see this one. I'll see frequently a lot 80 00:04:18,320 --> 00:04:23,440 Speaker 2: oh massive slump in housing. Home sales are down twenty percent. Well, 81 00:04:23,480 --> 00:04:25,800 Speaker 2: if I'm a home buyer or even a home seller, 82 00:04:26,040 --> 00:04:26,520 Speaker 2: I don't. 83 00:04:26,360 --> 00:04:28,720 Speaker 3: Really All I care about is the price of the house. 84 00:04:28,800 --> 00:04:29,600 Speaker 3: That's really all out. 85 00:04:29,760 --> 00:04:31,920 Speaker 2: I don't care about if there are a lot fewer 86 00:04:31,960 --> 00:04:33,720 Speaker 2: houses that sold last year. 87 00:04:33,880 --> 00:04:34,719 Speaker 3: That doesn't bother me. 88 00:04:35,080 --> 00:04:36,600 Speaker 2: It's whether or not my house is going to be 89 00:04:36,640 --> 00:04:38,080 Speaker 2: worth more, or I'm going to be able to sell 90 00:04:38,120 --> 00:04:39,240 Speaker 2: it for more, or I'm going to be able to 91 00:04:39,240 --> 00:04:41,159 Speaker 2: buy another house that I can afford. So keep that 92 00:04:41,200 --> 00:04:43,599 Speaker 2: in mind. The articles that talk about, oh, the number 93 00:04:43,600 --> 00:04:46,760 Speaker 2: of homes sold went way down. Really it matters if 94 00:04:46,800 --> 00:04:48,599 Speaker 2: you work in the home industry, if you're a realtor 95 00:04:48,800 --> 00:04:51,120 Speaker 2: or you're a mortgage broker. Yeah, that's relevant to your 96 00:04:51,160 --> 00:04:54,320 Speaker 2: everyday life. But what people what we want to see 97 00:04:54,440 --> 00:04:56,040 Speaker 2: is we want to see how much your house is 98 00:04:56,080 --> 00:04:56,479 Speaker 2: selling for. 99 00:04:56,800 --> 00:05:00,640 Speaker 1: There is a new experimental wave loss medication. It's developed 100 00:05:00,640 --> 00:05:03,920 Speaker 1: by Eli Lilly Neighbors right down the road, and it 101 00:05:03,960 --> 00:05:08,479 Speaker 1: is apparently three times more powerful than zep bound and 102 00:05:08,880 --> 00:05:13,400 Speaker 1: we govy. It's still being studied. It's in phase three 103 00:05:13,440 --> 00:05:16,479 Speaker 1: of clinical trials. It's expected to be approved later this 104 00:05:16,600 --> 00:05:21,240 Speaker 1: year or early next year. But the question remains, is 105 00:05:21,279 --> 00:05:23,919 Speaker 1: that too much like what if it works too well. 106 00:05:24,279 --> 00:05:29,359 Speaker 1: It's called reta Truetide experimental weight loss medication, three times 107 00:05:29,440 --> 00:05:32,720 Speaker 1: stronger than zep bound, and we go, vy, do we 108 00:05:32,839 --> 00:05:35,600 Speaker 1: need a medication that is three times stronger? 109 00:05:35,680 --> 00:05:38,520 Speaker 2: Well, I'm sure certain people that are dramatically overweight and 110 00:05:38,600 --> 00:05:41,360 Speaker 2: morbidly obese could probably use something, But that does sound 111 00:05:41,400 --> 00:05:44,000 Speaker 2: like a lot. Look, we've coined the term ozempic face 112 00:05:44,040 --> 00:05:46,880 Speaker 2: in this country, where people that are on ozepic have 113 00:05:47,000 --> 00:05:49,400 Speaker 2: such dramatic weight loss that they don't even look like 114 00:05:49,480 --> 00:05:53,279 Speaker 2: themselves anymore. So I can only imagine what a medication 115 00:05:53,400 --> 00:05:56,440 Speaker 2: that's three times as strong as the current batch of 116 00:05:56,480 --> 00:06:00,920 Speaker 2: golp ones would look like. We talked a little bit 117 00:06:01,000 --> 00:06:03,920 Speaker 2: last week about how they're starting to see. Okay, maybe 118 00:06:03,960 --> 00:06:06,839 Speaker 2: there are some long term side effects here for these 119 00:06:06,880 --> 00:06:12,400 Speaker 2: glp ones, osteoporosis and some other problems. But obesity is 120 00:06:12,440 --> 00:06:16,080 Speaker 2: the number one health problem in this country, number two, 121 00:06:16,440 --> 00:06:19,479 Speaker 2: not even close. I mean, according to most government statistics, 122 00:06:19,600 --> 00:06:24,440 Speaker 2: nearly half of this country is considered obese. So you 123 00:06:24,440 --> 00:06:26,600 Speaker 2: know what, if it ends up working too well, we'll 124 00:06:26,640 --> 00:06:29,640 Speaker 2: deal with that down the road. That's a good problem 125 00:06:29,680 --> 00:06:32,839 Speaker 2: to have if these medications work too well, because obesity 126 00:06:32,920 --> 00:06:36,800 Speaker 2: is costing, are us the taxpayers a ton of money? 127 00:06:36,800 --> 00:06:39,400 Speaker 2: Because of course, healthcare costs are going through the roof. 128 00:06:39,440 --> 00:06:41,600 Speaker 2: Health insurance costs are through the roof. Part of that 129 00:06:41,760 --> 00:06:44,280 Speaker 2: is just because so many Americans are obese, and there's 130 00:06:44,279 --> 00:06:47,760 Speaker 2: so much medical costs associated with long term obesity. So 131 00:06:48,279 --> 00:06:51,320 Speaker 2: if these work too well, we'll worry about that later. 132 00:06:51,400 --> 00:06:52,359 Speaker 3: It's a good problem. They have. 133 00:06:52,600 --> 00:06:56,360 Speaker 1: So patients that were in this test phase, this clinical 134 00:06:56,400 --> 00:06:59,560 Speaker 1: trial of this medication, they were losing nearly thirty percent 135 00:06:59,680 --> 00:07:03,279 Speaker 1: of their body weight over seventy weeks, roughly seventy one 136 00:07:03,400 --> 00:07:07,120 Speaker 1: pounds for many of the participants, so much so that 137 00:07:07,160 --> 00:07:09,440 Speaker 1: some of the people were dropping out because they were 138 00:07:09,440 --> 00:07:10,920 Speaker 1: losing too much weight. 139 00:07:10,960 --> 00:07:13,520 Speaker 2: Well, but that seems like a simple solution too. Oh no, 140 00:07:13,640 --> 00:07:15,680 Speaker 2: we can't let these drugs on the market. People will 141 00:07:15,720 --> 00:07:18,200 Speaker 2: lose too much weight. How about you just quit taking them. 142 00:07:18,280 --> 00:07:20,520 Speaker 3: It's a pretty simple solution to all of this. I 143 00:07:20,600 --> 00:07:25,280 Speaker 3: remember when I was on the like the carnivore diet. 144 00:07:25,480 --> 00:07:27,679 Speaker 2: I've done that a few times and when I've gotten 145 00:07:27,720 --> 00:07:30,120 Speaker 2: a little bit more heavier than what I prefer to be. 146 00:07:31,400 --> 00:07:33,480 Speaker 2: The very first time I ever tried it, I remember 147 00:07:33,520 --> 00:07:35,600 Speaker 2: I lost like fifteen pounds in the first month. I 148 00:07:35,640 --> 00:07:38,240 Speaker 2: was like, oh my gosh, this is is that's a 149 00:07:38,240 --> 00:07:41,720 Speaker 2: little aggressive. I was shocked at how much weight I 150 00:07:41,920 --> 00:07:44,560 Speaker 2: was lost on the carnivore diet and just eating meat. 151 00:07:44,600 --> 00:07:46,320 Speaker 2: But it was it was surprising. And then you know 152 00:07:46,320 --> 00:07:48,080 Speaker 2: what I did, I just kind of backed off of 153 00:07:48,120 --> 00:07:51,000 Speaker 2: it a little bit true carbon there every now and then, 154 00:07:51,400 --> 00:07:52,480 Speaker 2: maybe a doughnut or so. 155 00:07:52,880 --> 00:07:55,559 Speaker 3: Sure, Yeah, I need to get back on that again. 156 00:07:55,640 --> 00:07:58,640 Speaker 1: Yeah. So this drug is being called the next generation 157 00:07:59,240 --> 00:08:03,840 Speaker 1: or new obesity therapy. They're calling it a game changer, 158 00:08:04,440 --> 00:08:10,000 Speaker 1: and they're saying that this is a shift from obesity 159 00:08:10,160 --> 00:08:15,040 Speaker 1: and lifestyle battle to a medical frontier, like this is 160 00:08:15,200 --> 00:08:17,040 Speaker 1: new new stuff. 161 00:08:17,280 --> 00:08:21,320 Speaker 2: I am fascinated and going to be fascinated to continue 162 00:08:21,360 --> 00:08:24,640 Speaker 2: to watch how this impacts our society because obesity has 163 00:08:24,640 --> 00:08:26,200 Speaker 2: been a problem for a long long time and all 164 00:08:26,200 --> 00:08:28,920 Speaker 2: these drug manufacturers and big pharma they've been trying to 165 00:08:28,960 --> 00:08:31,800 Speaker 2: find the miracle pill that you can just take and 166 00:08:31,840 --> 00:08:33,119 Speaker 2: your weight. 167 00:08:32,960 --> 00:08:35,480 Speaker 3: Just flies right off of you. And we're on the 168 00:08:35,559 --> 00:08:36,400 Speaker 3: verge of it right now. 169 00:08:36,400 --> 00:08:39,040 Speaker 2: Because these drugs are now so widely available, you don't 170 00:08:39,040 --> 00:08:41,000 Speaker 2: even really have to see a doctor in person. There 171 00:08:41,000 --> 00:08:43,199 Speaker 2: are tons of virtual doctors that you can get appointments 172 00:08:43,200 --> 00:08:46,000 Speaker 2: to and they'll evaluate you and in most playt times 173 00:08:46,040 --> 00:08:49,240 Speaker 2: give you a prescription, and now the pricing on GLP 174 00:08:49,400 --> 00:08:51,160 Speaker 2: ones has come down so much. I remember a few 175 00:08:51,240 --> 00:08:53,400 Speaker 2: years ago when these first thing things came out, you 176 00:08:53,440 --> 00:08:56,040 Speaker 2: were talking about one thousand dollars or more a month, 177 00:08:56,480 --> 00:08:58,679 Speaker 2: And now, from what I've seen, prices are getting down 178 00:08:58,720 --> 00:09:00,760 Speaker 2: to be about one hundred and fifty bucks a month 179 00:09:00,800 --> 00:09:03,280 Speaker 2: for a regiment of these glp ones. It is going 180 00:09:03,320 --> 00:09:06,160 Speaker 2: to be fascinating to watch because it is going to 181 00:09:06,200 --> 00:09:08,000 Speaker 2: have a significant impact on it. 182 00:09:08,080 --> 00:09:09,160 Speaker 3: We're so obese. 183 00:09:09,480 --> 00:09:13,439 Speaker 2: These drugs are now becoming so readily and easily available 184 00:09:13,559 --> 00:09:17,160 Speaker 2: and now affordable. How this affects US as a country 185 00:09:17,160 --> 00:09:19,000 Speaker 2: in the next two three five years is going to 186 00:09:19,000 --> 00:09:20,600 Speaker 2: be fascinating to see how it plays out. 187 00:09:20,640 --> 00:09:23,880 Speaker 1: So Oprah Winfrey recently made an appearance somewhere and she 188 00:09:23,920 --> 00:09:26,480 Speaker 1: was looking thinner than she ever has, and she went 189 00:09:26,559 --> 00:09:29,600 Speaker 1: on the view and she was talking about it and 190 00:09:30,080 --> 00:09:36,040 Speaker 1: apparently this is ridiculous. Did you know there's an obesity gene? 191 00:09:37,000 --> 00:09:40,319 Speaker 2: Well, Ana, if Oprah says there's one, I guess it's true. 192 00:09:40,440 --> 00:09:42,959 Speaker 1: You got DNA in your body. Listen to this. 193 00:09:43,600 --> 00:09:46,880 Speaker 4: All these years I thought I was overeating. I was 194 00:09:46,920 --> 00:09:48,439 Speaker 4: standing there with all the food noise. 195 00:09:48,480 --> 00:09:48,960 Speaker 3: What I ate? 196 00:09:49,040 --> 00:09:51,120 Speaker 4: What I should eat. How many calories was that? How 197 00:09:51,120 --> 00:09:52,760 Speaker 4: long is it going to take? I thought that that 198 00:09:53,000 --> 00:09:56,400 Speaker 4: was because of me and my fault. Now I understand 199 00:09:56,480 --> 00:09:59,800 Speaker 4: that if you carry the obesity gene, if that is 200 00:09:59,840 --> 00:10:03,240 Speaker 4: what you have, that is what makes you overeat, you 201 00:10:03,360 --> 00:10:08,880 Speaker 4: don't overeat and become obese. Obesity causes you to overeat. 202 00:10:09,200 --> 00:10:12,400 Speaker 4: Obesity causes you to have all of that food noise. 203 00:10:12,600 --> 00:10:15,600 Speaker 4: And what the GLP ones have done for me and 204 00:10:15,679 --> 00:10:18,400 Speaker 4: I know a number of other people is to quiet 205 00:10:18,559 --> 00:10:19,320 Speaker 4: that noise. 206 00:10:20,240 --> 00:10:24,160 Speaker 1: Okay, so quiet that gene. She just made something up. 207 00:10:24,520 --> 00:10:28,720 Speaker 1: She just sat there on TV and completely lied and 208 00:10:28,800 --> 00:10:30,920 Speaker 1: said that there's an obesity gene. 209 00:10:31,000 --> 00:10:33,040 Speaker 3: Yeah. I just did a quick Google fact check. There's 210 00:10:33,080 --> 00:10:34,800 Speaker 3: no obesity g doesn't exist. 211 00:10:34,880 --> 00:10:38,000 Speaker 2: But Oprah said so, so it can be. We have 212 00:10:38,120 --> 00:10:40,839 Speaker 2: followed Oprah's weight for decades now. 213 00:10:40,880 --> 00:10:42,720 Speaker 3: I remember. I think it was like in the late eighties. 214 00:10:42,760 --> 00:10:45,000 Speaker 2: She got skinny all of a sudden, then she put 215 00:10:45,040 --> 00:10:47,120 Speaker 2: the weight back on. Now, but yeah, I did so. 216 00:10:47,240 --> 00:10:49,760 Speaker 2: I saw the video that was making the rounds this 217 00:10:49,800 --> 00:10:53,440 Speaker 2: weekend of her, and she is she is so thin 218 00:10:53,960 --> 00:10:56,560 Speaker 2: that your initial reaction is, oh my gosh, she must 219 00:10:56,559 --> 00:10:56,880 Speaker 2: be sick. 220 00:10:57,080 --> 00:11:00,880 Speaker 3: No. But but she's okay, but she has lost an 221 00:11:00,920 --> 00:11:02,000 Speaker 3: incredible amount of weight. 222 00:11:02,240 --> 00:11:04,680 Speaker 1: But she sat up there, and that's almost like trying 223 00:11:04,720 --> 00:11:08,280 Speaker 1: to just give millions of people hope that, Oh, I've 224 00:11:08,320 --> 00:11:10,679 Speaker 1: got the obesity gene. That's that's what it is. 225 00:11:10,760 --> 00:11:12,560 Speaker 2: Well, it's back to this whole thing that's you know, 226 00:11:12,600 --> 00:11:15,960 Speaker 2: pervasive in our society today. Nothing is anybody's fault. How 227 00:11:15,960 --> 00:11:19,120 Speaker 2: about some personal responsibility. No, you're overweight, and look, I 228 00:11:19,160 --> 00:11:21,160 Speaker 2: know there are certain conditions that can cause people to 229 00:11:21,200 --> 00:11:22,760 Speaker 2: gain more weight than others, but at the end of 230 00:11:22,800 --> 00:11:25,800 Speaker 2: the day, it is a calories in, calories outfunction, and 231 00:11:25,840 --> 00:11:28,520 Speaker 2: we all have our own personal responsibility to be as 232 00:11:28,559 --> 00:11:30,719 Speaker 2: healthy as we can be. And for her to sit 233 00:11:30,800 --> 00:11:34,439 Speaker 2: here and kind and again push off that personal responsibility. 234 00:11:34,600 --> 00:11:35,839 Speaker 3: Nothing's anybody's fault. 235 00:11:36,080 --> 00:11:37,040 Speaker 1: Well, she's got the gene. 236 00:11:37,040 --> 00:11:39,880 Speaker 2: It's my gene. I've got an obesity gene. I can't 237 00:11:39,920 --> 00:11:40,240 Speaker 2: help it. 238 00:11:40,720 --> 00:11:52,080 Speaker 1: Yeah, you're listening to ninety three WYBC. The approach is 239 00:11:52,080 --> 00:11:56,760 Speaker 1: going to combine economic leverage along with selective openings, sometimes 240 00:11:56,800 --> 00:12:01,840 Speaker 1: framed by analysis some sort of Cubaska strategy. It's aimed 241 00:12:01,880 --> 00:12:06,679 Speaker 1: at encouraging market reforms inside of Cuba. Yep, that's right. 242 00:12:06,720 --> 00:12:11,200 Speaker 1: The Trump administration already preparing a possible economic deal with 243 00:12:11,360 --> 00:12:15,920 Speaker 1: Cuba that is supposed to be announced sometime soon. You've 244 00:12:15,960 --> 00:12:20,400 Speaker 1: got Donald Trump saying Cuban officials are now actively negotiating 245 00:12:20,440 --> 00:12:23,280 Speaker 1: with him and the Secretary of State Marco Rubiel. 246 00:12:23,679 --> 00:12:26,800 Speaker 3: Did I hear you use the word Cuba stroika. 247 00:12:26,840 --> 00:12:27,760 Speaker 1: That's what they're calling it. 248 00:12:27,840 --> 00:12:28,760 Speaker 3: That is okay. 249 00:12:28,800 --> 00:12:31,959 Speaker 2: So that is a Cold War callback. So if you're 250 00:12:32,200 --> 00:12:35,480 Speaker 2: younger than forty five, you may not remember the words para, 251 00:12:35,600 --> 00:12:39,840 Speaker 2: stroika and glass nose. Those were the words that former 252 00:12:40,559 --> 00:12:44,400 Speaker 2: Soviet leader Mikhail Gorbachev used to describe the reforms that 253 00:12:44,679 --> 00:12:47,560 Speaker 2: he was trying to institute in his country. I find 254 00:12:47,559 --> 00:12:49,959 Speaker 2: it fascinating that they're bringing up one of those words 255 00:12:50,000 --> 00:12:52,960 Speaker 2: again and applying it to the communist regime in Cuba. 256 00:12:53,000 --> 00:12:55,679 Speaker 3: Here. In twenty twenty six, Trump. 257 00:12:55,400 --> 00:12:58,160 Speaker 1: Described Cuba as being at the end of the line economically. 258 00:12:58,720 --> 00:13:02,000 Speaker 1: They've got severe shortages of money on oil and it 259 00:13:02,040 --> 00:13:05,680 Speaker 1: has forced the island into crisis. Some of the potential 260 00:13:05,760 --> 00:13:12,640 Speaker 1: agreements could include relaxing some US sanctions, easing travel restrictions 261 00:13:12,800 --> 00:13:18,120 Speaker 1: for Americans, do it through tourism, also deals involving ports, 262 00:13:18,240 --> 00:13:22,920 Speaker 1: energy and tourism, and negotiations have repeatedly included the idea 263 00:13:23,080 --> 00:13:27,880 Speaker 1: of a exit for their president while the Castro family 264 00:13:28,040 --> 00:13:29,400 Speaker 1: remains in Cuba. 265 00:13:29,440 --> 00:13:32,559 Speaker 2: I think this is whatever ends up happening in Cuba 266 00:13:32,640 --> 00:13:34,840 Speaker 2: is going to be upon us real, real quick. 267 00:13:34,880 --> 00:13:36,319 Speaker 3: And I know we've got a lot going on. 268 00:13:36,360 --> 00:13:38,880 Speaker 2: Shoot, we just had gotten over what happened in Venezuela 269 00:13:39,200 --> 00:13:41,360 Speaker 2: and you know, taking Maduro and putting them in a 270 00:13:41,400 --> 00:13:43,240 Speaker 2: New York jail cell. And now we've got what's going 271 00:13:43,280 --> 00:13:45,760 Speaker 2: on in Iran. Last week we were teaming up with 272 00:13:45,840 --> 00:13:48,880 Speaker 2: Ecuador to battle the cartels in their country. But what 273 00:13:49,000 --> 00:13:51,080 Speaker 2: happens in Cuba is going to happen really, really fast. 274 00:13:51,080 --> 00:13:55,320 Speaker 2: Because here's the problem. They produce virtually nothing. Almost everything 275 00:13:55,400 --> 00:13:58,760 Speaker 2: is imported to that country, especially the big things like energy. 276 00:13:58,800 --> 00:14:01,600 Speaker 2: Oil is a huge thing there. They've had blackouts now 277 00:14:01,640 --> 00:14:04,560 Speaker 2: for weeks. Lights are only on maybe an hour or 278 00:14:04,559 --> 00:14:08,439 Speaker 2: two a day, medical shortages, food shortages. It's a real 279 00:14:08,480 --> 00:14:12,199 Speaker 2: problem from Cuba. They don't have any other options there. Essentially, 280 00:14:12,800 --> 00:14:15,160 Speaker 2: President Trump is negotiating to them with a gun to 281 00:14:15,200 --> 00:14:17,640 Speaker 2: their head because they don't have any other options. China's 282 00:14:17,679 --> 00:14:20,160 Speaker 2: not coming to save them, Russia's not coming to save them. 283 00:14:20,360 --> 00:14:23,160 Speaker 2: Venezuela is not coming to save them anymore. Something is 284 00:14:23,200 --> 00:14:25,400 Speaker 2: going to happen, and my guess is it's gonna be 285 00:14:25,480 --> 00:14:27,960 Speaker 2: a lot bigger whatever it ends up being, It's gonna 286 00:14:27,960 --> 00:14:30,120 Speaker 2: be a lot bigger than just some travel restrictions or 287 00:14:30,160 --> 00:14:32,720 Speaker 2: maybe getting rid of that ban. Trump's gonna want the 288 00:14:32,800 --> 00:14:36,000 Speaker 2: same thing there that he's got in Venezuela, which is 289 00:14:36,360 --> 00:14:39,720 Speaker 2: somebody that he approves of running that country. Oh and 290 00:14:39,760 --> 00:14:42,120 Speaker 2: by the way, you don't run it the way we want, 291 00:14:42,320 --> 00:14:43,960 Speaker 2: We're going to take you out and we'll put somebody 292 00:14:43,960 --> 00:14:44,520 Speaker 2: else in there. 293 00:14:44,920 --> 00:14:48,800 Speaker 1: So what you've got here is economic incentives doing the 294 00:14:48,840 --> 00:14:53,080 Speaker 1: heavy lifting rather than military conflict. And that is appealing 295 00:14:53,120 --> 00:14:54,840 Speaker 1: to a lot of people because that does focus on 296 00:14:54,920 --> 00:14:59,800 Speaker 1: power and influence rather than conflict. And it's more than 297 00:14:59,880 --> 00:15:03,200 Speaker 1: just symbolic gestures. Lindsey Graham, there he is again. 298 00:15:03,560 --> 00:15:05,880 Speaker 3: Can we fight out? Can we just all over? 299 00:15:06,080 --> 00:15:07,600 Speaker 1: Can we news all weekend? 300 00:15:07,760 --> 00:15:11,000 Speaker 2: We go fifteen minutes without hearing Lindsey Graham in the 301 00:15:11,040 --> 00:15:13,000 Speaker 2: news and his opinion on whatever topic? 302 00:15:13,080 --> 00:15:15,880 Speaker 1: No, we can't. Biggest cootie I've ever seen, but man, 303 00:15:16,080 --> 00:15:18,760 Speaker 1: he's got We started off the show with him and 304 00:15:18,800 --> 00:15:22,480 Speaker 1: his fighting words, and guess what. He's still got more 305 00:15:22,520 --> 00:15:25,040 Speaker 1: fighting words, this time for Cuba. Me. 306 00:15:25,160 --> 00:15:27,080 Speaker 5: I'm not looking for a fair fight. If we get 307 00:15:27,080 --> 00:15:28,520 Speaker 5: in a fight, I want to win it. I want 308 00:15:28,560 --> 00:15:31,240 Speaker 5: to win it quick. I'm in Miami. You see this hat, 309 00:15:31,800 --> 00:15:36,080 Speaker 5: Free Cuba, stay tuned. The liberation of Cuba is upon us. 310 00:15:36,360 --> 00:15:37,680 Speaker 5: It's just a matter of time. 311 00:15:37,760 --> 00:15:37,960 Speaker 1: Now. 312 00:15:38,040 --> 00:15:41,640 Speaker 5: You see this At make a Ron great, President Trump said, 313 00:15:41,680 --> 00:15:43,480 Speaker 5: the only way to make a ron great is for 314 00:15:43,520 --> 00:15:46,480 Speaker 5: the people to take over. We're marching through the world. 315 00:15:46,520 --> 00:15:50,040 Speaker 5: We're cleaning out the bad guys. We're gonna have relationships 316 00:15:50,040 --> 00:15:52,840 Speaker 5: with new people that will make us prosperous. And say, 317 00:15:53,000 --> 00:15:56,320 Speaker 5: I've never seen anybody like it. This is Ronald Rayland. 318 00:15:56,320 --> 00:15:59,640 Speaker 5: Plus Donald Trump is resetting the world in a way 319 00:16:00,000 --> 00:16:02,080 Speaker 5: I get a dreamed of a year ago. He is 320 00:16:02,120 --> 00:16:05,760 Speaker 5: the greatest commander in chief of all time. Our military 321 00:16:05,880 --> 00:16:08,880 Speaker 5: is the best of all time. Ran is going down, 322 00:16:08,960 --> 00:16:10,240 Speaker 5: and Cuba is next. 323 00:16:11,160 --> 00:16:14,640 Speaker 1: He could not be more excited to say we are 324 00:16:14,800 --> 00:16:16,640 Speaker 1: marching across the world. 325 00:16:17,120 --> 00:16:18,840 Speaker 3: I thought he was going to blow an O ring there. 326 00:16:18,880 --> 00:16:19,760 Speaker 3: He was so excited. 327 00:16:19,760 --> 00:16:21,760 Speaker 2: I'm gonna I haven't seen the video, but the way 328 00:16:21,800 --> 00:16:23,680 Speaker 2: he was talking, I'm gonna guess his face was bright 329 00:16:23,760 --> 00:16:24,800 Speaker 2: red the entire time. 330 00:16:24,840 --> 00:16:27,120 Speaker 3: He was so excited. It's a big deal. Cuba. 331 00:16:27,320 --> 00:16:31,080 Speaker 2: The people in Cuba have suffered under communist dictatorships for 332 00:16:31,160 --> 00:16:34,040 Speaker 2: sixty years. And I and while there's been plenty of 333 00:16:34,200 --> 00:16:37,600 Speaker 2: you know, disasters from the Bay of Pigs and sanctions 334 00:16:37,640 --> 00:16:40,000 Speaker 2: on Cuba, and now there's a blockade on Cuba, the 335 00:16:40,000 --> 00:16:43,160 Speaker 2: people of Cuba have suffered long enough, and hopefully, hopefully 336 00:16:43,200 --> 00:16:45,040 Speaker 2: they will get some freedom in the near future. And 337 00:16:45,360 --> 00:16:48,040 Speaker 2: I think it is going to I think we're probably weeks, 338 00:16:48,080 --> 00:16:50,200 Speaker 2: if not maybe a couple of months away from this happened. 339 00:16:50,200 --> 00:16:53,040 Speaker 1: Well, Donald Trump, he's saying Cuba is in its last moments. 340 00:16:54,600 --> 00:16:56,640 Speaker 6: I've been hearing as a little boy, I'd be hearing 341 00:16:56,640 --> 00:17:01,280 Speaker 6: about Cuba. You know, Cuba is a disaster. But I've 342 00:17:01,280 --> 00:17:03,600 Speaker 6: been hearing so much about Cuba. But Cuba is in 343 00:17:03,640 --> 00:17:06,719 Speaker 6: its last moments of life as it was. It'll have 344 00:17:07,400 --> 00:17:10,400 Speaker 6: a great new life, but it's in its last moments 345 00:17:10,400 --> 00:17:14,840 Speaker 6: of life the way it is. But our focus right 346 00:17:14,880 --> 00:17:19,200 Speaker 6: now is on Iran, and we'll do that. I would say, 347 00:17:19,280 --> 00:17:21,800 Speaker 6: what would you do? Take about two days off Marco? Now, 348 00:17:21,960 --> 00:17:24,320 Speaker 6: well maybe an hour. He'll take one hour off and 349 00:17:24,359 --> 00:17:28,760 Speaker 6: then he'll finish up a deal on Cuba, that'll be 350 00:17:28,760 --> 00:17:33,840 Speaker 6: an easy one, but it'll be the. 351 00:17:32,680 --> 00:17:34,040 Speaker 3: Entire region that we're doing that. 352 00:17:34,080 --> 00:17:35,600 Speaker 6: Many of you have come today and they say, I 353 00:17:35,640 --> 00:17:37,359 Speaker 6: hope you can take care of Cuba because you've had 354 00:17:37,400 --> 00:17:39,440 Speaker 6: problems with Cuba, right, you mentioned. 355 00:17:39,920 --> 00:17:42,679 Speaker 1: So he's talking the Shield of America when he's talking 356 00:17:42,720 --> 00:17:43,240 Speaker 1: about that. 357 00:17:43,800 --> 00:17:44,720 Speaker 3: Yeah, and he's right. 358 00:17:44,800 --> 00:17:48,399 Speaker 2: Cuba should be relatively easy as it comes to a 359 00:17:48,440 --> 00:17:50,719 Speaker 2: transition and a fix. So keep in mind here, You've 360 00:17:50,720 --> 00:17:53,399 Speaker 2: got what's going on in Iran. That's a country of 361 00:17:53,520 --> 00:17:56,000 Speaker 2: ninety million people. Then we got Venezuela and what we 362 00:17:56,040 --> 00:17:58,040 Speaker 2: did down there a couple months ago. That's a country 363 00:17:58,040 --> 00:18:02,080 Speaker 2: of thirty million people. Only about nine million people. It's 364 00:18:02,119 --> 00:18:05,200 Speaker 2: only slightly larger in population. 365 00:18:04,720 --> 00:18:05,840 Speaker 3: Than the state of Indiana. 366 00:18:06,280 --> 00:18:09,960 Speaker 2: So while it's certainly been high on our minds the 367 00:18:10,040 --> 00:18:12,359 Speaker 2: last sixty years for a lot of good reasons, and 368 00:18:12,920 --> 00:18:15,320 Speaker 2: there's a lot of Cuban immigrants that live in this 369 00:18:15,440 --> 00:18:17,879 Speaker 2: country today, it is not that big of a country. 370 00:18:17,920 --> 00:18:21,040 Speaker 2: It is not that population dense, just not that many 371 00:18:21,040 --> 00:18:23,840 Speaker 2: people there. So anything that happens in Cuba should be 372 00:18:24,000 --> 00:18:26,080 Speaker 2: we would hope to be a lot easier. Certainly a 373 00:18:26,119 --> 00:18:28,120 Speaker 2: lot easier than what's going on in Iran and maybe 374 00:18:28,160 --> 00:18:29,680 Speaker 2: even easier than what happened in Venezuela. 375 00:18:29,760 --> 00:18:29,920 Speaker 3: Yeah. 376 00:18:29,920 --> 00:18:33,080 Speaker 1: Well, in regards to Cuba, though, location, location, location, because 377 00:18:33,080 --> 00:18:37,840 Speaker 1: it's only ninety miles off the keys of Florida, proximity 378 00:18:38,080 --> 00:18:38,760 Speaker 1: means everything. 379 00:18:38,920 --> 00:18:44,480 Speaker 2: There are millions of people in this country Cuban descent 380 00:18:44,920 --> 00:18:48,159 Speaker 2: that have been waiting for an opportunity for Cuba to 381 00:18:48,200 --> 00:18:50,639 Speaker 2: be free and an opportunity to go back to Cuba, 382 00:18:50,720 --> 00:18:52,800 Speaker 2: and Marco Rubio has certainly been one of them, and 383 00:18:52,800 --> 00:18:54,879 Speaker 2: we've talked about this on this show. I know that 384 00:18:54,880 --> 00:18:58,600 Speaker 2: Marco Rubio would want nothing more, probably in his entire life, 385 00:18:58,840 --> 00:19:02,119 Speaker 2: to see a free Cuba and to have his hands 386 00:19:02,119 --> 00:19:04,440 Speaker 2: in that and be involved as much as he possibly can. 387 00:19:04,880 --> 00:19:08,280 Speaker 1: The Iranian women's national soccer team they just finished competing 388 00:19:08,359 --> 00:19:12,120 Speaker 1: up their twenty twenty six AFC Women's Asia Cup and 389 00:19:12,520 --> 00:19:16,080 Speaker 1: they were eliminated, but several of the players they refused 390 00:19:16,119 --> 00:19:21,280 Speaker 1: to sing Iran's national anthem, and now the Iranian state 391 00:19:21,359 --> 00:19:25,080 Speaker 1: media and officials have labeled the players as wartime traders 392 00:19:25,119 --> 00:19:28,639 Speaker 1: for the act. And you've got Donald Trump now publicly 393 00:19:28,760 --> 00:19:33,680 Speaker 1: urging Australia to offer them asylum and said the US 394 00:19:33,760 --> 00:19:38,240 Speaker 1: would also accept them as if necessary. It just shows 395 00:19:38,280 --> 00:19:43,400 Speaker 1: you it's part of the broader struggle over freedom for 396 00:19:43,520 --> 00:19:44,399 Speaker 1: some of these people. 397 00:19:44,520 --> 00:19:46,159 Speaker 2: Yeah, and that's some breaking news because it was just 398 00:19:46,200 --> 00:19:48,720 Speaker 2: in the last hour that Trump has called on the 399 00:19:48,760 --> 00:19:52,200 Speaker 2: country of Australia to give asylum to the Iranian women's 400 00:19:52,240 --> 00:19:54,200 Speaker 2: soccer team. There was a video that went around last 401 00:19:54,240 --> 00:19:56,680 Speaker 2: week where they were, you know, standing on the pitch 402 00:19:56,760 --> 00:20:00,000 Speaker 2: and the Iranian national anthem was playing and they weren't 403 00:20:00,080 --> 00:20:03,080 Speaker 2: moving their lips or singing it all, which is extraordinarily 404 00:20:03,200 --> 00:20:06,800 Speaker 2: rare and certainly frowned upon by the Iranian government, to 405 00:20:06,840 --> 00:20:09,959 Speaker 2: say the very least. This would be a massive pr 406 00:20:10,080 --> 00:20:12,600 Speaker 2: coup for the Trump administration and for the state of 407 00:20:12,640 --> 00:20:15,720 Speaker 2: Israel if they can get this high profile event, this 408 00:20:15,800 --> 00:20:19,560 Speaker 2: women's soccer tournament that's going on internationally in Australia, and 409 00:20:19,600 --> 00:20:22,720 Speaker 2: if those women decide that they want to seek asylum 410 00:20:22,960 --> 00:20:25,400 Speaker 2: and it is granted. I mean, look, if they seek asylum, 411 00:20:25,800 --> 00:20:28,040 Speaker 2: if Australia won't give it to them, you know that 412 00:20:28,080 --> 00:20:30,040 Speaker 2: Trump will give it to them, because that would be 413 00:20:30,160 --> 00:20:33,800 Speaker 2: a massive PRQ coup to take place right in the 414 00:20:33,840 --> 00:20:35,359 Speaker 2: middle while we're at war with Iran. 415 00:20:36,000 --> 00:20:49,120 Speaker 1: You're listening to ninety three wybctet. According to NBC, both 416 00:20:49,119 --> 00:20:52,240 Speaker 1: parties are facing brand problems and that should be a 417 00:20:52,359 --> 00:20:55,119 Speaker 1: real wake up call. The fact that both Republicans and 418 00:20:55,240 --> 00:20:59,879 Speaker 1: Democrats are scoring poorly and an overall favorability shows that 419 00:21:00,080 --> 00:21:03,320 Speaker 1: voters aren't just a set with one side, they're upset 420 00:21:03,359 --> 00:21:07,080 Speaker 1: with the entire system. So this was an NBC national 421 00:21:07,160 --> 00:21:11,080 Speaker 1: poll and they asked voters, or what do you care 422 00:21:11,160 --> 00:21:14,200 Speaker 1: more about? And voters came back and said, we care 423 00:21:14,240 --> 00:21:19,560 Speaker 1: more about ideology than electability when choosing our candidates. What 424 00:21:19,600 --> 00:21:21,840 Speaker 1: do you stand for? That's pretty much. 425 00:21:21,720 --> 00:21:25,159 Speaker 3: It well, and isn't that the way it should be. 426 00:21:25,720 --> 00:21:29,000 Speaker 2: We don't want to compromise our core values just because 427 00:21:29,040 --> 00:21:31,879 Speaker 2: this guy who doesn't match our core values has a 428 00:21:31,920 --> 00:21:33,440 Speaker 2: better chance of getting elected. 429 00:21:33,640 --> 00:21:34,600 Speaker 3: That's not what we want. 430 00:21:34,640 --> 00:21:37,120 Speaker 2: So I was actually kind of surprised about this that 431 00:21:37,200 --> 00:21:40,080 Speaker 2: people put so much faith in ideology over electability. And 432 00:21:40,080 --> 00:21:42,719 Speaker 2: I think where that comes from is I think party insiders. 433 00:21:42,800 --> 00:21:45,040 Speaker 2: If you're a big party insider with the Republicans and 434 00:21:45,080 --> 00:21:48,480 Speaker 2: the Democrats, of course it's party over everything at that point. 435 00:21:48,560 --> 00:21:51,240 Speaker 2: But I think for the average voter, they don't view 436 00:21:51,280 --> 00:21:53,840 Speaker 2: it nearly to that degree, and it's like, Okay, this 437 00:21:53,880 --> 00:21:56,200 Speaker 2: person represents my values. I'm going to vote for them, 438 00:21:56,200 --> 00:21:57,800 Speaker 2: and if they lose, they lose. 439 00:21:58,400 --> 00:22:02,000 Speaker 1: So you had primary or publican primary voters, and they 440 00:22:02,080 --> 00:22:05,639 Speaker 1: said seventy percent would want a candidate who matches their views, 441 00:22:05,680 --> 00:22:09,000 Speaker 1: not just one who can win twenty seven Twenty seven 442 00:22:09,040 --> 00:22:11,480 Speaker 1: percent said they prefer a candidate more likely to win 443 00:22:11,560 --> 00:22:15,360 Speaker 1: in a general election. When it comes to Democratic voters, 444 00:22:15,400 --> 00:22:19,000 Speaker 1: they're a little bit more split. Fifty six percent prefer 445 00:22:19,119 --> 00:22:23,640 Speaker 1: ideological alignment and forty two percent say electability is more important. 446 00:22:23,720 --> 00:22:27,560 Speaker 1: Isn't that interesting Democrats? It's like they saying, Oh, we 447 00:22:27,600 --> 00:22:29,560 Speaker 1: don't care what you stand for, just as long as 448 00:22:29,600 --> 00:22:30,040 Speaker 1: you can win. 449 00:22:30,480 --> 00:22:33,280 Speaker 2: And I think that matches kind of the narrative that's 450 00:22:33,280 --> 00:22:35,640 Speaker 2: out there about Democrats. And look, Republicans got a lot 451 00:22:35,640 --> 00:22:37,359 Speaker 2: of that in them too, which is a problem. But 452 00:22:37,440 --> 00:22:39,160 Speaker 2: it's good to see that at least when it comes 453 00:22:39,160 --> 00:22:42,879 Speaker 2: to Republicans or Conservatives, that we're comfortable with saying, you 454 00:22:42,880 --> 00:22:45,280 Speaker 2: know what, I'm going to vote for this person because 455 00:22:45,280 --> 00:22:48,000 Speaker 2: that's who represents me, and if they end up losing, 456 00:22:48,040 --> 00:22:51,280 Speaker 2: then so be it. That is a strong stance to take. 457 00:22:51,359 --> 00:22:54,240 Speaker 2: And the fact that the Democrats. So funny about this, 458 00:22:54,359 --> 00:22:58,200 Speaker 2: the fact that the Democrats view it differently. Yet they're 459 00:22:58,200 --> 00:23:00,639 Speaker 2: the party that's currently out of power. They're the party 460 00:23:00,640 --> 00:23:04,120 Speaker 2: that currently polls worse than any other party in history. 461 00:23:04,400 --> 00:23:06,680 Speaker 2: It's a fascinating combination to look at those two bits 462 00:23:06,680 --> 00:23:07,159 Speaker 2: of data. 463 00:23:07,200 --> 00:23:11,520 Speaker 1: So they asked about people and things and put them 464 00:23:11,560 --> 00:23:17,400 Speaker 1: in order of favorability, and this is fascinating. The highest 465 00:23:17,400 --> 00:23:21,120 Speaker 1: score went to Popelia the fourteenth with a total positive 466 00:23:21,200 --> 00:23:22,000 Speaker 1: of forty two. 467 00:23:22,280 --> 00:23:25,159 Speaker 2: And that makes sense because in general, in general, the 468 00:23:25,200 --> 00:23:27,719 Speaker 2: pope is well regarded and well thought of. Even if 469 00:23:27,760 --> 00:23:30,479 Speaker 2: you're not Catholic, you certainly have a Most people have 470 00:23:31,080 --> 00:23:33,159 Speaker 2: a positive image and a certain amount of respect for 471 00:23:33,200 --> 00:23:33,600 Speaker 2: the pope. 472 00:23:33,760 --> 00:23:35,120 Speaker 1: Followed by Stephen Colbert. 473 00:23:35,400 --> 00:23:38,840 Speaker 2: That one was shocking, although maybe not the most shocking 474 00:23:38,880 --> 00:23:40,760 Speaker 2: thing inside this And I'm trying, I was trying to 475 00:23:40,880 --> 00:23:44,000 Speaker 2: justify that because if you're if you're if you're you know, 476 00:23:44,080 --> 00:23:46,360 Speaker 2: a liberal, you love Stephen Colbert. If you're a conservative, 477 00:23:46,400 --> 00:23:48,679 Speaker 2: you probably hate Stephen Colbert. And my guess is, if 478 00:23:48,720 --> 00:23:51,679 Speaker 2: you're in the middle and you're an independent, which larger 479 00:23:51,680 --> 00:23:55,920 Speaker 2: and larger percentage of the population is independent, it's I'm 480 00:23:55,960 --> 00:23:59,159 Speaker 2: guessing that those independents probably see Stephen Colbert just as 481 00:23:59,200 --> 00:24:01,960 Speaker 2: a comedian, some guy who's probably funny, and they remember 482 00:24:02,040 --> 00:24:04,720 Speaker 2: him from The Daily Show, and yeah he's okay. I 483 00:24:04,720 --> 00:24:06,639 Speaker 2: don't have any problem with Stephen Colbert. That's my guess 484 00:24:06,680 --> 00:24:09,080 Speaker 2: is that that's where it's probably coming from. And how 485 00:24:09,119 --> 00:24:10,080 Speaker 2: he rated so high. 486 00:24:10,200 --> 00:24:13,159 Speaker 1: He's scoring higher than Marco Rubio just by one point. 487 00:24:13,200 --> 00:24:17,160 Speaker 1: Marco Rubio is at third. And this is interesting because 488 00:24:17,280 --> 00:24:21,720 Speaker 1: then it goes Sanctuary Cities and then JD Vance. According 489 00:24:21,760 --> 00:24:26,320 Speaker 1: to this NBC poll, JD Vance scoring lower in favorability 490 00:24:26,560 --> 00:24:31,480 Speaker 1: than Marco Rubio is, and then AOC and then Donald 491 00:24:31,520 --> 00:24:34,560 Speaker 1: Trump right in the middle of the pack. His favorability 492 00:24:34,640 --> 00:24:37,760 Speaker 1: number was at forty one, the Republican Party at thirty seven. 493 00:24:37,840 --> 00:24:42,520 Speaker 1: So Donald Trump once again pulling higher than his party. 494 00:24:42,840 --> 00:24:45,520 Speaker 2: My favorite part of this poll is when you go 495 00:24:45,640 --> 00:24:46,960 Speaker 2: all the way down to the bottom. 496 00:24:47,080 --> 00:24:47,840 Speaker 1: Yeah I'll get there. 497 00:24:47,920 --> 00:24:50,200 Speaker 3: Oh okay, go ahead, jump the gun. 498 00:24:50,800 --> 00:24:56,440 Speaker 1: Kamala Harris, then Gavin Newsom, then Ice and then AI. 499 00:24:57,359 --> 00:25:02,000 Speaker 1: That is Artificial Intelligence favorable? Is it twenty six percent? 500 00:25:03,200 --> 00:25:05,560 Speaker 1: And then the Democratic Party. 501 00:25:05,840 --> 00:25:10,639 Speaker 2: So the Democrat Party is currently polling below Ice and 502 00:25:11,040 --> 00:25:14,920 Speaker 2: Artificial Intelligence. As far as approval from the general population 503 00:25:15,040 --> 00:25:15,600 Speaker 2: of the public. 504 00:25:15,760 --> 00:25:18,480 Speaker 1: Yeah, and the last one on the list is eight 505 00:25:19,160 --> 00:25:21,960 Speaker 1: Who are the eight people or eight percent who think 506 00:25:22,000 --> 00:25:23,320 Speaker 1: that Iran is favorable? 507 00:25:23,440 --> 00:25:25,119 Speaker 3: Yeah, Iran came in dead last. 508 00:25:25,160 --> 00:25:28,639 Speaker 2: And what is fascinating is the only thing that the 509 00:25:28,720 --> 00:25:30,440 Speaker 2: Democratic Party beat. 510 00:25:30,280 --> 00:25:32,639 Speaker 3: In this poll is Iran. 511 00:25:32,760 --> 00:25:36,320 Speaker 2: So the only thing that people hate more than the 512 00:25:36,359 --> 00:25:39,800 Speaker 2: Democrats is the country of Iran right now, while we 513 00:25:39,920 --> 00:25:42,000 Speaker 2: just happen to be at war with Iran. 514 00:25:42,400 --> 00:25:44,679 Speaker 3: Not a good position to be in is that if 515 00:25:44,720 --> 00:25:46,159 Speaker 3: you're a member of the Democrat. 516 00:25:45,800 --> 00:25:48,879 Speaker 2: This is coming from NBC, right, So don't sit here 517 00:25:48,920 --> 00:25:51,879 Speaker 2: and say this like this. This isn't some Fox News 518 00:25:51,960 --> 00:25:54,480 Speaker 2: or conservative poll. This is right coming from the belly 519 00:25:54,480 --> 00:25:57,120 Speaker 2: of the Democrat Beast and NBC News, and they've got 520 00:25:57,280 --> 00:26:00,760 Speaker 2: and the Democrat Party. The only thing that they beat 521 00:26:00,800 --> 00:26:02,720 Speaker 2: in this poll was the country everr. 522 00:26:03,400 --> 00:26:06,920 Speaker 1: Okay, what's going on with Dak Prescott and his fiance 523 00:26:07,160 --> 00:26:10,400 Speaker 1: They called off their wedding. They were previously engaged, they 524 00:26:10,400 --> 00:26:13,600 Speaker 1: planned to get married, but they split up after a 525 00:26:13,680 --> 00:26:15,399 Speaker 1: bachelorette Yeah. 526 00:26:15,400 --> 00:26:18,680 Speaker 2: So actually there's a couple of like a big time 527 00:26:18,840 --> 00:26:22,320 Speaker 2: NFL quarterbacks and their potential wives and girlfriends in the news. 528 00:26:22,359 --> 00:26:24,320 Speaker 2: We'll start with Dak Prescott. So he's a quarterback on 529 00:26:24,359 --> 00:26:26,800 Speaker 2: the Dallas Cowboys. Just signed a massive two hundred and 530 00:26:26,840 --> 00:26:29,439 Speaker 2: fifty million dollar contract, so he's swimming in money. And 531 00:26:29,480 --> 00:26:31,240 Speaker 2: he's been with this woman for a couple of years now. 532 00:26:31,240 --> 00:26:32,960 Speaker 2: They got a couple of kids, and they're planning on 533 00:26:33,000 --> 00:26:35,280 Speaker 2: getting married next month. And there was a lot of 534 00:26:35,359 --> 00:26:38,040 Speaker 2: salacious details that broke over the weekend that they were 535 00:26:38,040 --> 00:26:41,280 Speaker 2: having a bachelorette and bachelor party and it was on 536 00:26:41,320 --> 00:26:43,680 Speaker 2: the same island in the Caribbean, and the girls would 537 00:26:43,720 --> 00:26:45,440 Speaker 2: do their thing and the guys would do their thing, 538 00:26:45,480 --> 00:26:49,160 Speaker 2: and then apparently something happened and they called off the wedding, 539 00:26:49,200 --> 00:26:51,360 Speaker 2: and the wedding has been called off. Now reports are 540 00:26:51,440 --> 00:26:54,080 Speaker 2: saying that it was nothing scandalous. 541 00:26:53,520 --> 00:26:54,640 Speaker 3: Related do you want prenup? 542 00:26:55,040 --> 00:26:57,640 Speaker 2: It was all about a prenup yea which you're you're 543 00:26:57,720 --> 00:26:59,800 Speaker 2: a month away from the wedding, you think you have 544 00:26:59,800 --> 00:27:02,639 Speaker 2: that apped up before. They've been together for a long time, 545 00:27:02,760 --> 00:27:05,600 Speaker 2: they've got a couple of kids. He just signed in 546 00:27:05,640 --> 00:27:08,120 Speaker 2: the last couple of years a two hundred and fifty 547 00:27:08,280 --> 00:27:11,639 Speaker 2: million dollar contract. They've been planning this wedding for a 548 00:27:11,840 --> 00:27:16,400 Speaker 2: long time, and a month before the event, it comes 549 00:27:16,440 --> 00:27:18,160 Speaker 2: down to a pre nump and the wedding's off. 550 00:27:18,240 --> 00:27:22,840 Speaker 1: That's it, guess fans. They The interesting thing to me 551 00:27:22,960 --> 00:27:26,320 Speaker 1: is that the fans expected answer like they feel like 552 00:27:26,400 --> 00:27:30,000 Speaker 1: they have the right to the information of what happened 553 00:27:30,000 --> 00:27:30,399 Speaker 1: with this Cay. 554 00:27:30,440 --> 00:27:33,240 Speaker 3: I'll tell you where that comes from, Like this. 555 00:27:33,119 --> 00:27:35,480 Speaker 1: Is their lives. They can tell you if they want to, 556 00:27:36,800 --> 00:27:38,200 Speaker 1: because they put themselves out there. 557 00:27:38,320 --> 00:27:41,040 Speaker 2: No, when I'm paying two hundred and fifty bucks to 558 00:27:41,080 --> 00:27:43,560 Speaker 2: go to for one ticket for a Dallas Cowboys game. 559 00:27:43,600 --> 00:27:45,879 Speaker 2: If I'm a Dallas Cowboys game and it's costing me 560 00:27:46,080 --> 00:27:48,760 Speaker 2: one thousand dollars to take my family to one game, 561 00:27:48,800 --> 00:27:51,720 Speaker 2: oh you better believe I want some answers from you 562 00:27:51,760 --> 00:27:54,119 Speaker 2: when it comes to anything about your personal life. 563 00:27:54,119 --> 00:27:55,960 Speaker 3: The reason why you got that two hundred and fifty 564 00:27:55,960 --> 00:27:57,440 Speaker 3: million dollar contract. 565 00:27:57,200 --> 00:27:59,280 Speaker 2: Is because of the fans and all the money they 566 00:27:59,280 --> 00:28:01,679 Speaker 2: pour into that league. So that's where that sort of 567 00:28:01,920 --> 00:28:04,720 Speaker 2: sense of entitlement is coming from the fans. Not only 568 00:28:04,760 --> 00:28:07,640 Speaker 2: are we Uber fans and ultra invested, but you got 569 00:28:07,680 --> 00:28:10,000 Speaker 2: my money. Man, you're spending that two hundred and fifty 570 00:28:10,040 --> 00:28:10,800 Speaker 2: million dollars. 571 00:28:10,960 --> 00:28:13,960 Speaker 1: Well, you know what, Sometimes his life changes, priorities shift, 572 00:28:13,960 --> 00:28:16,439 Speaker 1: and maybe they realized that they weren't meant to be 573 00:28:16,680 --> 00:28:18,080 Speaker 1: forever and ever after that. 574 00:28:18,200 --> 00:28:21,760 Speaker 2: Now, this was the other big NFL quarterback dating news 575 00:28:21,800 --> 00:28:24,879 Speaker 2: that took place over the weekend. Joe Burrow, quarterback of 576 00:28:24,920 --> 00:28:28,480 Speaker 2: the Cincinnati Bengals, just split off with his longtime girlfriend 577 00:28:28,520 --> 00:28:31,919 Speaker 2: in the last year. He was spotted at a blackjack 578 00:28:31,960 --> 00:28:35,000 Speaker 2: table in Las Vegas over the weekend with. 579 00:28:35,320 --> 00:28:37,359 Speaker 3: Yeah, Jessica Elba. 580 00:28:37,520 --> 00:28:42,440 Speaker 2: Oh, okay, we talked earlier about Jennifer love hewittt and 581 00:28:42,920 --> 00:28:44,960 Speaker 2: that was a lot of guys crushed back twenty or 582 00:28:44,960 --> 00:28:45,600 Speaker 2: thirty years ago. 583 00:28:45,720 --> 00:28:48,080 Speaker 3: Same could be said for Jessica Alba in the two thousand. 584 00:28:48,200 --> 00:28:50,520 Speaker 1: Travis Kelce just spotted with somebody as well. 585 00:28:50,960 --> 00:28:53,360 Speaker 2: Yeah, but that was not romantically. That was something that 586 00:28:53,400 --> 00:28:54,880 Speaker 2: was something We'll get to that in a second. Let 587 00:28:54,920 --> 00:28:56,840 Speaker 2: me finish up with Joe Burrow. But the big chatter 588 00:28:56,880 --> 00:29:00,440 Speaker 2: about Joe Burrow and Jessica Alba Jessica Alba's four forty four, 589 00:29:00,680 --> 00:29:02,200 Speaker 2: Uh huh, Joe Burrows twenty nine. 590 00:29:02,240 --> 00:29:04,920 Speaker 1: Okay, well, you know what, it's getting himself a cougar. 591 00:29:05,000 --> 00:29:06,120 Speaker 3: He is getting himself a cougar. 592 00:29:06,240 --> 00:29:09,000 Speaker 1: The issue with Travis wrong with older women, not at all. 593 00:29:09,080 --> 00:29:10,440 Speaker 3: I agree completely. 594 00:29:11,600 --> 00:29:14,560 Speaker 2: The issue with Travis Kelcey over the weekend was that 595 00:29:14,640 --> 00:29:19,200 Speaker 2: he was at a Tiger Woods golf event and was 596 00:29:19,680 --> 00:29:22,800 Speaker 2: seen on video talking with Kai Trump. So keep in mind, 597 00:29:22,880 --> 00:29:25,160 Speaker 2: all right, let's keep all these dating things in line here, 598 00:29:27,560 --> 00:29:32,680 Speaker 2: Tiger Woods is dating one of the Trumps, and I 599 00:29:32,680 --> 00:29:36,800 Speaker 2: can't remember it's Kai Trump's mother. Yeah, okay, so then 600 00:29:37,080 --> 00:29:39,920 Speaker 2: Kai Trump and her mother probably were at this Tiger 601 00:29:39,960 --> 00:29:42,560 Speaker 2: Woods event. Travis Kelcey was also at the event. There 602 00:29:42,560 --> 00:29:45,160 Speaker 2: were other celebrities there, but there was this video of 603 00:29:45,200 --> 00:29:47,560 Speaker 2: Travis Kelcey spending a lot of time in talking to 604 00:29:47,640 --> 00:29:50,280 Speaker 2: Kay Trump, and of course people lost their mind because 605 00:29:50,280 --> 00:29:52,640 Speaker 2: we know Taylor Swift is a big lib and endorsed 606 00:29:52,680 --> 00:29:57,320 Speaker 2: Kamala Harris, Travis Kelcey and Taylor Swift. It's exhausting trying 607 00:29:57,360 --> 00:30:00,560 Speaker 2: to keep all these celebrity relationships straight in together. No, 608 00:30:00,640 --> 00:30:03,760 Speaker 2: so it was it wasn't a scandalous romantic thing with 609 00:30:03,800 --> 00:30:04,560 Speaker 2: Travis Kelcey. 610 00:30:04,800 --> 00:30:06,719 Speaker 3: It was a scandalous political thing. 611 00:30:06,800 --> 00:30:08,800 Speaker 1: Well, because you know, Taylor Swift is not going to 612 00:30:08,880 --> 00:30:11,560 Speaker 1: have any of that, right, I mean not at all? 613 00:30:11,680 --> 00:30:14,400 Speaker 3: What having having her man talking to a Trump? 614 00:30:14,600 --> 00:30:18,520 Speaker 1: Right, right? He'll pay for that later, Yeah, exactly. 615 00:30:18,560 --> 00:30:19,920 Speaker 3: He'll pay for it later. We all do. 616 00:30:20,160 --> 00:30:23,400 Speaker 1: Okay, so we all do. There was an electrical engineer 617 00:30:23,920 --> 00:30:27,040 Speaker 1: and he was warning about the common household devices that 618 00:30:27,200 --> 00:30:29,440 Speaker 1: you should unplug when they're not in use. 619 00:30:32,200 --> 00:30:36,040 Speaker 2: Well, it's electric How many okay, I'm before we start, 620 00:30:36,080 --> 00:30:38,280 Speaker 2: Can I guess how many of these we have and 621 00:30:38,360 --> 00:30:39,520 Speaker 2: leave plugged in at our house. 622 00:30:39,520 --> 00:30:42,920 Speaker 3: I'm going to say it's at least too. I'm thinking 623 00:30:42,960 --> 00:30:43,520 Speaker 3: at least too. 624 00:30:43,760 --> 00:30:46,200 Speaker 1: Okay, here you go. Here's the list, according to this 625 00:30:46,320 --> 00:30:51,160 Speaker 1: electrical engineer, common household devices you should unplug when they're 626 00:30:51,160 --> 00:30:55,360 Speaker 1: not in use. Number one phone chargers your phone charger. 627 00:30:55,760 --> 00:30:57,880 Speaker 3: Yeah, of course I leave those plugged in all. 628 00:30:57,840 --> 00:31:02,040 Speaker 1: The standby power, even when no phone is connected. This 629 00:31:02,160 --> 00:31:04,880 Speaker 1: adds to your electricity bill over time. 630 00:31:05,000 --> 00:31:08,160 Speaker 2: Okay, so it's not like a fire red safety thing. 631 00:31:08,160 --> 00:31:09,640 Speaker 2: It's not a safety issue. 632 00:31:09,440 --> 00:31:12,480 Speaker 1: Drawn power, So you should unplug that sucker all. 633 00:31:12,400 --> 00:31:14,120 Speaker 3: Right now, I'm thinking we may go seven for seven 634 00:31:14,160 --> 00:31:14,760 Speaker 3: on this list. 635 00:31:14,760 --> 00:31:17,360 Speaker 1: Okay. Second one on the list things that you should 636 00:31:17,520 --> 00:31:21,200 Speaker 1: unplug when they're not in use space heaters or portable heaters. 637 00:31:21,280 --> 00:31:24,440 Speaker 1: This one, to me is a safety issue. These can 638 00:31:24,480 --> 00:31:26,080 Speaker 1: be a fire hazard if forgotten. 639 00:31:26,640 --> 00:31:28,800 Speaker 3: We don't own any of those. So that's a good thing, okay. 640 00:31:29,160 --> 00:31:31,400 Speaker 1: You know, And every time I've ever plugged in a 641 00:31:31,440 --> 00:31:34,160 Speaker 1: space heater, like at the old building for the radio station, 642 00:31:34,720 --> 00:31:37,680 Speaker 1: it would make the circuit breaker go, you. 643 00:31:38,080 --> 00:31:40,920 Speaker 3: Trip the breaker on that. I think that should mean 644 00:31:40,960 --> 00:31:42,240 Speaker 3: that you shouldn't be using that. 645 00:31:42,360 --> 00:31:44,760 Speaker 2: I think that's the first clue that maybe that's not 646 00:31:44,840 --> 00:31:46,480 Speaker 2: the right device for that environment. 647 00:31:46,640 --> 00:31:50,240 Speaker 1: Yep, yep, so I sat there cold instead. Okay. Another 648 00:31:50,280 --> 00:31:52,160 Speaker 1: one that you should unplug when they're not in use 649 00:31:52,240 --> 00:31:54,240 Speaker 1: toasters and toaster ovens. 650 00:31:55,040 --> 00:31:58,120 Speaker 2: We do unplug our toaster okay, yeah, alas heating element. 651 00:31:58,320 --> 00:32:01,960 Speaker 1: And you've got those little RUMs there that are can. 652 00:32:01,840 --> 00:32:03,320 Speaker 3: Be somewa flammable. 653 00:32:03,400 --> 00:32:08,480 Speaker 1: Those can start fires. Clothes irons, right, yeah, I. 654 00:32:08,400 --> 00:32:10,680 Speaker 2: Think that's common. Sen's who leaves their iron plugged in 655 00:32:10,720 --> 00:32:12,400 Speaker 2: all the time? Well for starters. How many people are 656 00:32:12,440 --> 00:32:16,080 Speaker 2: ironing any more period? Not a lot. Yeah, but if 657 00:32:16,080 --> 00:32:17,680 Speaker 2: you are, nobody's leaving their Yah. 658 00:32:18,000 --> 00:32:20,400 Speaker 1: If they if they're left plugged in accidentally, they can 659 00:32:20,440 --> 00:32:23,880 Speaker 1: overheat and they can cause fires. Here's one okay, raise 660 00:32:23,880 --> 00:32:25,920 Speaker 1: your hand, just raise your hand. You're guilty. 661 00:32:26,040 --> 00:32:27,280 Speaker 3: I'm already okay, there. 662 00:32:27,200 --> 00:32:29,719 Speaker 1: Is one on the list. Coffee makers. 663 00:32:30,000 --> 00:32:32,360 Speaker 3: Yeah, there's no way to the espresso machine. 664 00:32:32,440 --> 00:32:35,000 Speaker 1: You're supposed to unplug those when not in use, their 665 00:32:35,080 --> 00:32:39,360 Speaker 1: internal wiring and switches can wear out, and unplugging will 666 00:32:39,440 --> 00:32:42,200 Speaker 1: reduce the risk of fire. Okay, So what it means 667 00:32:42,280 --> 00:32:44,520 Speaker 1: like every morning you gotta unplug that thing when you 668 00:32:44,600 --> 00:32:45,120 Speaker 1: leave for work. 669 00:32:45,200 --> 00:32:48,160 Speaker 2: For as much coffee as we drink, we'd be unplugging 670 00:32:48,200 --> 00:32:50,000 Speaker 2: and plugging that thing in all day long. 671 00:32:50,080 --> 00:32:51,760 Speaker 3: It's all we would do. We'd have to attach it 672 00:32:51,760 --> 00:32:53,920 Speaker 3: to a power strip or something like that. Okay, So 673 00:32:53,920 --> 00:32:55,480 Speaker 3: that's two out of seven so far. What else? 674 00:32:55,800 --> 00:32:58,360 Speaker 1: Space saving kitchen mixers and blenders. 675 00:32:59,320 --> 00:33:00,560 Speaker 3: No, like your. 676 00:33:00,520 --> 00:33:02,560 Speaker 1: Kitchen aid, you have one on one of those on 677 00:33:02,560 --> 00:33:04,200 Speaker 1: the kitchen counter, you're supposed to un. 678 00:33:04,400 --> 00:33:06,800 Speaker 2: A blender, you know, food process or something like that. No, 679 00:33:06,880 --> 00:33:07,960 Speaker 2: ours are always unplugged. 680 00:33:08,800 --> 00:33:12,960 Speaker 1: Last one. Window air conditioners in the off season, even 681 00:33:12,960 --> 00:33:15,880 Speaker 1: if you're not turning it on, it can still draw power, 682 00:33:16,280 --> 00:33:19,920 Speaker 1: so you should unplug it to cut wasted electricity. 683 00:33:20,040 --> 00:33:22,880 Speaker 2: So again, that's not a safety issue, that's an energy 684 00:33:22,920 --> 00:33:23,960 Speaker 2: conservation issue. 685 00:33:24,000 --> 00:33:25,120 Speaker 3: Hey, by the way, I nailed it. 686 00:33:25,160 --> 00:33:26,800 Speaker 2: I said two out of seven we would have on that, 687 00:33:26,840 --> 00:33:28,520 Speaker 2: and we nail exactly two out of seven. 688 00:33:28,600 --> 00:33:29,440 Speaker 3: You can take that not bad. 689 00:33:29,520 --> 00:33:31,840 Speaker 1: So you should be unplugging these devices. They can save 690 00:33:31,960 --> 00:33:36,560 Speaker 1: you on electricity costs and also reduce fire hazards in 691 00:33:36,600 --> 00:33:39,240 Speaker 1: your home. Many people say, check the batteries of your 692 00:33:39,760 --> 00:33:42,880 Speaker 1: fire detectors in your home when you spring forward. 693 00:33:43,360 --> 00:33:45,720 Speaker 2: Uh yeah, I've heard that it's either spring forward or 694 00:33:45,800 --> 00:33:46,960 Speaker 2: every year on your birthday. 695 00:33:47,000 --> 00:33:48,640 Speaker 3: Regardless of when you do it, you should do it 696 00:33:48,640 --> 00:33:49,080 Speaker 3: once a year. 697 00:33:49,160 --> 00:33:57,080 Speaker 1: Yeah, you're listening to ninety three WIBC. Here's the setup. 698 00:33:58,240 --> 00:34:03,600 Speaker 1: You train and train four months. You get out there 699 00:34:03,720 --> 00:34:06,520 Speaker 1: early in the morning. You're doing it late at night 700 00:34:06,840 --> 00:34:10,520 Speaker 1: any chance you get, and you're like, yeah, I'm gonna 701 00:34:10,560 --> 00:34:16,440 Speaker 1: run twenty six point two miles. I a marathon. 702 00:34:16,719 --> 00:34:20,200 Speaker 2: I love marathon runners. I'm so happy for them that 703 00:34:20,239 --> 00:34:22,440 Speaker 2: they enjoy it. I'm never gonna run America. 704 00:34:22,520 --> 00:34:25,560 Speaker 1: Got to work up to it, man, classic test of endurance. Right. 705 00:34:26,040 --> 00:34:28,120 Speaker 3: I hate running. I don't want any part of it. 706 00:34:28,320 --> 00:34:31,120 Speaker 2: But I love the fact that they love it so much, 707 00:34:31,160 --> 00:34:32,719 Speaker 2: and I wish them the best of luck and all 708 00:34:32,760 --> 00:34:32,960 Speaker 2: of it. 709 00:34:33,080 --> 00:34:35,919 Speaker 1: Yeah. Well, now, the organizers of the twenty six Los 710 00:34:35,960 --> 00:34:39,560 Speaker 1: Angeles Marathon, they have announced that runners who only complete 711 00:34:39,600 --> 00:34:42,680 Speaker 1: eighteen miles of the full twenty six miles. They're gonna 712 00:34:42,680 --> 00:34:44,799 Speaker 1: get a medal. Congratulation. 713 00:34:44,840 --> 00:34:48,680 Speaker 2: Oh, your kid is anticipation, try participation, showing up. 714 00:34:48,880 --> 00:34:52,400 Speaker 3: Trophy culture continues, Mad. 715 00:34:52,239 --> 00:34:55,359 Speaker 1: Would you be? I mean, we have a friend who's 716 00:34:55,400 --> 00:34:56,200 Speaker 1: a marathon runner. 717 00:34:56,280 --> 00:34:58,239 Speaker 3: Yeah, absolutely, a lot of time. 718 00:34:58,040 --> 00:35:00,400 Speaker 1: And wow what they go through with they put their 719 00:35:00,440 --> 00:35:02,760 Speaker 1: body through, the special way they. 720 00:35:02,719 --> 00:35:04,600 Speaker 3: Eat and train for it. Yeah. 721 00:35:04,680 --> 00:35:07,080 Speaker 1: No, and then you you they due to their body. 722 00:35:07,120 --> 00:35:09,520 Speaker 2: You cross that finish line and I'm sure again as 723 00:35:09,520 --> 00:35:11,640 Speaker 2: somebody who's never gonna run a marathon, you feel a 724 00:35:11,680 --> 00:35:13,120 Speaker 2: massive sense of accomplishment. 725 00:35:13,239 --> 00:35:14,520 Speaker 3: Yes. Yes, this was something that. 726 00:35:14,520 --> 00:35:18,200 Speaker 2: Was very difficult life, worked very hard toward this, and 727 00:35:18,280 --> 00:35:21,239 Speaker 2: I achieved this goal that I set for myself. Oh 728 00:35:21,239 --> 00:35:23,279 Speaker 2: and by the way, the people that only ran part 729 00:35:23,280 --> 00:35:25,000 Speaker 2: of the race are going to get the same metal 730 00:35:25,040 --> 00:35:25,239 Speaker 2: that I ca. 731 00:35:25,320 --> 00:35:27,959 Speaker 1: They're going to get the same exact recks. 732 00:35:28,040 --> 00:35:31,680 Speaker 3: All did you say this is the LA Marathon? 733 00:35:31,800 --> 00:35:36,520 Speaker 2: Yes, classic, classic liberal California crap that they got going 734 00:35:36,560 --> 00:35:38,400 Speaker 2: on there, Sanctuary cities. 735 00:35:38,600 --> 00:35:39,880 Speaker 3: Everybody gets a medal. 736 00:35:40,800 --> 00:35:46,080 Speaker 7: Yep, it's the eighteen mile option, right, Like, oh, so 737 00:35:46,160 --> 00:35:50,200 Speaker 7: you sign up for the full marathon eighteen miles You're like, 738 00:35:50,440 --> 00:35:52,000 Speaker 7: I'm done, man, but. 739 00:35:51,960 --> 00:35:53,040 Speaker 1: I still get the medal. 740 00:35:53,120 --> 00:35:55,160 Speaker 3: You know what, They actually have separate races for that. 741 00:35:55,239 --> 00:35:57,759 Speaker 2: It's called a half marathon, and people run them all 742 00:35:57,800 --> 00:35:59,680 Speaker 2: the time and you get your medals. And I'm sure 743 00:35:59,680 --> 00:36:02,680 Speaker 2: it's said half marathon on there, But if you're running 744 00:36:02,719 --> 00:36:06,279 Speaker 2: eighteen miles, you shouldn't get the metal. That says full marathon. 745 00:36:05,920 --> 00:36:08,760 Speaker 1: Right right. The medal should only go to the people 746 00:36:09,200 --> 00:36:13,240 Speaker 1: who finish the full distance. Hey, you go the distance, 747 00:36:13,320 --> 00:36:14,240 Speaker 1: you get the metal. 748 00:36:14,320 --> 00:36:15,799 Speaker 3: Hey, Casey, I drop out early. 749 00:36:16,120 --> 00:36:18,839 Speaker 2: Sorry, you're gonna work a full forty hours this week, 750 00:36:18,880 --> 00:36:21,520 Speaker 2: But Kevin is only gonna work thirty hours this week. 751 00:36:21,520 --> 00:36:23,239 Speaker 3: He's gonna get the same paycheck. He's gonna get that. 752 00:36:23,320 --> 00:36:25,600 Speaker 2: He's gonna get your exact same paycheck. O, only even 753 00:36:25,640 --> 00:36:27,560 Speaker 2: though you only work thirty hours and you worked at 754 00:36:27,560 --> 00:36:28,480 Speaker 2: full forty hours. 755 00:36:28,640 --> 00:36:30,280 Speaker 3: Sorry, everybody wins. 756 00:36:30,560 --> 00:36:33,640 Speaker 1: Nope, that's not the way this works now. The organizers 757 00:36:33,640 --> 00:36:37,600 Speaker 1: say that this eighteen mile metal option is a one 758 00:36:37,680 --> 00:36:41,400 Speaker 1: time decision for this year's race only because it is 759 00:36:41,520 --> 00:36:46,640 Speaker 1: very specific to the weather forecast. Apparently, they are forecasted 760 00:36:46,719 --> 00:36:52,879 Speaker 1: to have some very high temperatures. It's califourn Yeah, it's 761 00:36:52,880 --> 00:36:53,960 Speaker 1: always gonna be warm. 762 00:36:54,120 --> 00:36:57,040 Speaker 2: Hey, you know what I'm gonna go outside Los Angeles 763 00:36:57,280 --> 00:37:00,520 Speaker 2: and I'm gonna mow three quarters of the lawn and 764 00:37:00,600 --> 00:37:02,600 Speaker 2: not do the rest. And then I'm gonna sit there 765 00:37:02,640 --> 00:37:04,319 Speaker 2: and call it done and put my butt on the 766 00:37:04,320 --> 00:37:06,640 Speaker 2: couch and have cold beer and be like, well, hey, 767 00:37:06,840 --> 00:37:09,560 Speaker 2: I did as much as the eighteen mile marathon guys did. 768 00:37:09,600 --> 00:37:11,239 Speaker 3: I don't have to finish out the rest of this. 769 00:37:11,680 --> 00:37:15,640 Speaker 1: You've got to go the distance, Okay. Well, they say 770 00:37:15,640 --> 00:37:19,719 Speaker 1: that they're just protecting runners' health and safety. If if 771 00:37:19,719 --> 00:37:23,400 Speaker 1: you're worried about your health, don't sign up for a marathon. 772 00:37:23,560 --> 00:37:25,560 Speaker 2: Yeah, and you don't get the medal if you only 773 00:37:25,600 --> 00:37:28,120 Speaker 2: run eighteen miles. I don't care what the conditions are. 774 00:37:28,239 --> 00:37:30,160 Speaker 2: You train for that, and if you can't finish, you 775 00:37:30,200 --> 00:37:31,879 Speaker 2: can't finish, and you don't get the medal. 776 00:37:31,920 --> 00:37:33,600 Speaker 3: If you can't finish, we did the full show. 777 00:37:33,640 --> 00:37:35,840 Speaker 1: We get the medal. Thank you, Jim, Thank you Kevin, 778 00:37:36,160 --> 00:37:39,319 Speaker 1: Thank you for listening. This is ninety three WIBC.