1 00:00:00,680 --> 00:00:05,480 Speaker 1: Stupidest episode of the week for the view is Whoopee 2 00:00:05,519 --> 00:00:10,639 Speaker 1: claiming that America doesn't have a government and she was 3 00:00:10,960 --> 00:00:16,200 Speaker 1: need out to come in and over through President Trump. Seriously, 4 00:00:16,600 --> 00:00:18,279 Speaker 1: where do these people come from? 5 00:00:18,640 --> 00:00:21,160 Speaker 2: I need to go look that one up. So Whoopy says, 6 00:00:21,200 --> 00:00:25,279 Speaker 2: we don't have a government yet she wants us to 7 00:00:25,440 --> 00:00:28,960 Speaker 2: use the one national treaty organization that we had that 8 00:00:29,000 --> 00:00:31,440 Speaker 2: where the head of to come in and run and 9 00:00:31,520 --> 00:00:36,640 Speaker 2: run us. Okay, I got it. You will say anything, 10 00:00:38,040 --> 00:00:40,320 Speaker 2: Go ahead, but say whatever you want to say. I 11 00:00:40,320 --> 00:00:40,720 Speaker 2: don't care. 12 00:00:41,840 --> 00:00:46,160 Speaker 3: It's just a phase, right, It's what It's just a phase. 13 00:00:46,520 --> 00:00:48,479 Speaker 3: It's not really a pirate mom, It's just a phase. 14 00:00:48,680 --> 00:00:50,800 Speaker 2: It's it's just it's just white patch. 15 00:00:50,880 --> 00:00:52,800 Speaker 3: Where's the where's the Jolly Roger? 16 00:00:53,040 --> 00:00:53,280 Speaker 2: I was? 17 00:00:53,320 --> 00:00:56,200 Speaker 3: I was fully expecting, you know, the skull and crossbook. 18 00:00:56,200 --> 00:00:58,000 Speaker 2: Okay, well, first of all, it's something that you So 19 00:00:58,200 --> 00:01:00,480 Speaker 2: I'm wearing an eye patch today. He was driving me crazy, 20 00:01:01,160 --> 00:01:03,040 Speaker 2: and because I can't really I mean, I can't put 21 00:01:03,040 --> 00:01:04,679 Speaker 2: my glasses on, but they don't really fit right, and 22 00:01:04,720 --> 00:01:07,839 Speaker 2: so it makes it it's so I can't I can't 23 00:01:07,880 --> 00:01:13,200 Speaker 2: see anything something you can see your outline. So this 24 00:01:13,280 --> 00:01:16,440 Speaker 2: morning I got a or maybe it was last night, 25 00:01:16,440 --> 00:01:19,640 Speaker 2: I don't know when, something about uh stupid eye patch, 26 00:01:20,240 --> 00:01:23,959 Speaker 2: and his suggestion was that I get Tamera to draw 27 00:01:24,160 --> 00:01:28,880 Speaker 2: like a little skull and crossbones on it. And I'm thinking, one, 28 00:01:29,760 --> 00:01:31,720 Speaker 2: I'm not gonna do that because what you want it? 29 00:01:32,680 --> 00:01:35,200 Speaker 2: And two you think I'm gonna get let tamera Now 30 00:01:35,520 --> 00:01:39,400 Speaker 2: a surgeon with a knife on my eye? Okay, it's 31 00:01:39,400 --> 00:01:43,560 Speaker 2: got the tamera with a ballpoint pen anywhere near my arm, 32 00:01:45,760 --> 00:01:53,960 Speaker 2: or sharpie, sharp object, anything pointed pen, yes, which you know, 33 00:01:54,200 --> 00:01:58,960 Speaker 2: if you jab just enough, you could like take the 34 00:01:59,000 --> 00:01:59,800 Speaker 2: eye completely out. 35 00:02:00,120 --> 00:02:02,720 Speaker 3: That blood on your forehead and on your cheek. 36 00:02:04,480 --> 00:02:06,680 Speaker 2: I haven't looked lately, it's my blood on my face. 37 00:02:06,920 --> 00:02:07,440 Speaker 2: I'm coming. 38 00:02:07,800 --> 00:02:08,639 Speaker 3: I have to know now. 39 00:02:08,720 --> 00:02:10,920 Speaker 2: I don't think so now I still have. You know 40 00:02:10,960 --> 00:02:13,480 Speaker 2: when they when they they walk you walk in for 41 00:02:13,520 --> 00:02:15,920 Speaker 2: all the pre op stuff, and they want to know, now, 42 00:02:15,960 --> 00:02:17,480 Speaker 2: what are we doing today? Because they want to make 43 00:02:17,520 --> 00:02:19,880 Speaker 2: sure you know that you know what they're doing. And 44 00:02:19,919 --> 00:02:21,600 Speaker 2: then they want to make sure that they know what 45 00:02:21,639 --> 00:02:24,120 Speaker 2: they're doing. So they ask you, now, so what do 46 00:02:24,200 --> 00:02:25,639 Speaker 2: we doing? I say, when you're doing, you're doing a 47 00:02:25,720 --> 00:02:28,160 Speaker 2: left eye. So they always mark they. 48 00:02:28,080 --> 00:02:29,040 Speaker 3: Oh it's a marker. 49 00:02:29,240 --> 00:02:32,360 Speaker 2: Oh the marker. Yeah yeah, yeah, yeah. So they you know, 50 00:02:32,400 --> 00:02:35,040 Speaker 2: they they ask is it we know, what are we doing? Yeah, 51 00:02:35,080 --> 00:02:36,760 Speaker 2: you're doing something on my left eye. I forget the 52 00:02:36,840 --> 00:02:38,960 Speaker 2: name of it. Okay, So then the doctor comes in 53 00:02:39,200 --> 00:02:41,120 Speaker 2: and they think a magic marker and they put an X, 54 00:02:41,160 --> 00:02:42,480 Speaker 2: you know, over the top of your eye, and that's 55 00:02:42,520 --> 00:02:46,880 Speaker 2: what he's seen. I get, I get the eye patch off. 56 00:02:47,240 --> 00:02:51,440 Speaker 2: I think this afternoon one fifteen or one thirdle I 57 00:02:51,480 --> 00:02:56,520 Speaker 2: hope went smooth. You know, I fully understand every time, 58 00:02:56,960 --> 00:02:58,960 Speaker 2: and it's not like I do them every week, but 59 00:02:59,040 --> 00:03:01,919 Speaker 2: every time you've ever done a colonoscopy or you've done 60 00:03:01,960 --> 00:03:05,560 Speaker 2: any type of surgery where they use propofol, which is 61 00:03:05,560 --> 00:03:08,200 Speaker 2: what Michael Jackson was addicted to and I. 62 00:03:08,160 --> 00:03:10,600 Speaker 3: Died from and tied from. 63 00:03:11,040 --> 00:03:13,280 Speaker 2: Yes, I understand, but I understand why he was addicted 64 00:03:13,320 --> 00:03:16,040 Speaker 2: to it because it is the It is the most 65 00:03:16,200 --> 00:03:20,239 Speaker 2: glorious nap that you can ever have, because you're just 66 00:03:20,240 --> 00:03:22,200 Speaker 2: sitting there talking to the doctors and all of a sudden, 67 00:03:22,440 --> 00:03:26,000 Speaker 2: you're gone. You're gone. And the good thing about this 68 00:03:26,280 --> 00:03:28,280 Speaker 2: is and then when it's over and it you know, 69 00:03:28,360 --> 00:03:30,000 Speaker 2: kind of flushed out your system, you wake up and 70 00:03:30,040 --> 00:03:34,480 Speaker 2: that's it. It's done. I was a little nervous last 71 00:03:34,560 --> 00:03:36,200 Speaker 2: night about, you know, because they were like, no, you 72 00:03:36,240 --> 00:03:38,240 Speaker 2: need to be careful tomorrow, you know, don't do don't 73 00:03:38,280 --> 00:03:39,800 Speaker 2: do any heavy lifting. Up. I'm like, I don't do 74 00:03:39,840 --> 00:03:43,480 Speaker 2: any heverylifting. Anyway, I don't do anything. But anyway went well, 75 00:03:44,200 --> 00:03:46,480 Speaker 2: and I appreciate all the concern and the nice things 76 00:03:46,480 --> 00:03:51,200 Speaker 2: said by everybody that listens. Not anybody in the building 77 00:03:51,840 --> 00:03:57,280 Speaker 2: behind the glass at home, my son, my daughter, my grandkids, 78 00:03:57,400 --> 00:04:02,200 Speaker 2: nobody but you goobers were expressed. And I even assume 79 00:04:02,280 --> 00:04:03,960 Speaker 2: you were probably just lying and trying to be nice 80 00:04:03,960 --> 00:04:05,000 Speaker 2: about it, just. 81 00:04:05,040 --> 00:04:07,840 Speaker 3: As I'm sick and I want to know if the 82 00:04:07,880 --> 00:04:10,640 Speaker 3: eyepatch is covering the eye so nobody can poke it. 83 00:04:11,120 --> 00:04:13,720 Speaker 3: But now, if you keep your head forward and you 84 00:04:13,760 --> 00:04:15,360 Speaker 3: look right and left, how does that feel? 85 00:04:15,600 --> 00:04:17,599 Speaker 2: Oh you mean, how's it feel? 86 00:04:17,720 --> 00:04:20,920 Speaker 3: What it like in your eye? Well, so if you're 87 00:04:20,960 --> 00:04:22,960 Speaker 3: just if your head would face me and you looked 88 00:04:23,040 --> 00:04:23,279 Speaker 3: right and. 89 00:04:23,360 --> 00:04:26,800 Speaker 2: Yesterday, if you'd ask me this question, it was dragging 90 00:04:26,880 --> 00:04:30,760 Speaker 2: me up the wall because the eye was still and 91 00:04:30,800 --> 00:04:33,400 Speaker 2: the eyelid was still kind of glued shut or whatever 92 00:04:33,400 --> 00:04:35,560 Speaker 2: it was from all the goog and stuff and so 93 00:04:35,800 --> 00:04:39,760 Speaker 2: it wasn't It didn't move yet. My eyelid kept wanting 94 00:04:39,800 --> 00:04:43,720 Speaker 2: to open right and it was driving me nuts, absolutely nuts. 95 00:04:44,279 --> 00:04:46,640 Speaker 2: Here's the other thing. I had a friend in high 96 00:04:46,640 --> 00:04:48,200 Speaker 2: school that got shot in the eye with a BB 97 00:04:48,360 --> 00:04:51,600 Speaker 2: gun and he lost his left eye, and I always 98 00:04:51,640 --> 00:04:52,599 Speaker 2: wondered what that was. 99 00:04:52,720 --> 00:04:56,360 Speaker 3: Like, Well, this is your punishment. This is your punishment 100 00:04:56,400 --> 00:04:57,039 Speaker 3: for wondering that. 101 00:04:57,279 --> 00:05:02,400 Speaker 2: Yes, because I almost almost walked up to the wall. Yes, 102 00:05:03,120 --> 00:05:07,320 Speaker 2: because I turned to come into the studio, and of 103 00:05:07,320 --> 00:05:10,960 Speaker 2: course I have no peripheral vision. Like you see where 104 00:05:10,960 --> 00:05:13,159 Speaker 2: my hand is right here. I can't see my hand 105 00:05:13,200 --> 00:05:13,560 Speaker 2: right here. 106 00:05:13,800 --> 00:05:14,719 Speaker 3: That's awesome. 107 00:05:14,920 --> 00:05:17,200 Speaker 2: That awesome. Now right there, I can see my hand, 108 00:05:17,400 --> 00:05:20,120 Speaker 2: which is what right in front of my eye? Yeah, 109 00:05:20,279 --> 00:05:22,560 Speaker 2: like my nose. But to the laugh, I can't see anything. 110 00:05:22,880 --> 00:05:25,120 Speaker 3: Now is your eye open? Can you open it? Behind there? 111 00:05:25,160 --> 00:05:27,320 Speaker 2: You just now open? This morning I woke up and 112 00:05:27,400 --> 00:05:29,560 Speaker 2: it was open. So at least it's moving and you know, 113 00:05:29,680 --> 00:05:33,160 Speaker 2: it's it's all in sync right now. That's good. Yeah, 114 00:05:33,440 --> 00:05:36,640 Speaker 2: you don't care. You were hoping The answer was no, 115 00:05:36,920 --> 00:05:39,120 Speaker 2: I just was still glued shut and then I couldn't 116 00:05:39,120 --> 00:05:40,559 Speaker 2: do anything. But you were really hoping. 117 00:05:40,720 --> 00:05:42,159 Speaker 3: You're going through your Crenshaw phase. 118 00:05:43,800 --> 00:05:46,280 Speaker 2: You know, if I I wish I'd gone somewhere and 119 00:05:46,320 --> 00:05:48,560 Speaker 2: gotten a little black patch to put on, like you know, 120 00:05:48,720 --> 00:05:51,719 Speaker 2: just you know, so I could be like mister Rhino, 121 00:05:51,920 --> 00:05:57,680 Speaker 2: Dan Grenshaw, Dan Crenshaw. But I was able to last 122 00:05:57,720 --> 00:06:00,760 Speaker 2: night at least look them X. And I've found that 123 00:06:02,120 --> 00:06:05,359 Speaker 2: actually two people that I know quite well, one of 124 00:06:05,360 --> 00:06:07,440 Speaker 2: whom I really don't like very well, and one of 125 00:06:07,480 --> 00:06:10,839 Speaker 2: whom I actually like, although we have a completely different 126 00:06:10,880 --> 00:06:16,080 Speaker 2: political perspective on things. One is our illustrious Governor Jared Polis, 127 00:06:16,560 --> 00:06:18,400 Speaker 2: whom you know, he was in Congress when I was 128 00:06:18,400 --> 00:06:20,680 Speaker 2: the under secretary, and you know, and just and let's 129 00:06:20,680 --> 00:06:22,360 Speaker 2: just say he and I don't get along very well. 130 00:06:22,760 --> 00:06:25,440 Speaker 2: The other is Patty Calhoun is who is the editor 131 00:06:25,440 --> 00:06:29,440 Speaker 2: and publisher of Westward. And I've known Patty for decades 132 00:06:29,839 --> 00:06:32,919 Speaker 2: and her politics are way over here and minor over here, 133 00:06:33,200 --> 00:06:35,760 Speaker 2: but we get along fine. I've had her on my 134 00:06:35,800 --> 00:06:40,400 Speaker 2: program before, we've talked about stuff. But apparently there's a 135 00:06:40,440 --> 00:06:43,039 Speaker 2: third person, cause you got to have three people in 136 00:06:43,080 --> 00:06:45,400 Speaker 2: a fight, right, you got to have a three legged stool. 137 00:06:45,880 --> 00:06:51,480 Speaker 2: And the third person is President Donald John Trump. Because 138 00:06:51,520 --> 00:06:53,880 Speaker 2: Trump made some comment and I don't have the comment 139 00:06:53,920 --> 00:06:55,680 Speaker 2: in front of me because I don't I don't really care. 140 00:06:55,720 --> 00:06:58,480 Speaker 2: But some people the effect that, you know, our governor sucks, 141 00:06:58,760 --> 00:07:02,360 Speaker 2: which we know is true because he's just an awful governor, 142 00:07:02,640 --> 00:07:06,360 Speaker 2: awful policies and and he and he lies to us 143 00:07:06,400 --> 00:07:09,080 Speaker 2: about everything. He's a liar, he's a horrible policy Well, 144 00:07:09,080 --> 00:07:11,840 Speaker 2: he's a great politician, he's a liar, he's a piece 145 00:07:11,840 --> 00:07:14,680 Speaker 2: of crap, and he just he's running the state along 146 00:07:14,720 --> 00:07:18,520 Speaker 2: with his fellow travelers in the Democrat Party. Well, Trump 147 00:07:18,600 --> 00:07:20,960 Speaker 2: makes the comment about, you know, he's a horrible governor, 148 00:07:21,000 --> 00:07:25,960 Speaker 2: and people are leaving Colorado in droves. Petty Calhoun comes 149 00:07:26,000 --> 00:07:29,560 Speaker 2: to the defense of the state and says, no the 150 00:07:29,560 --> 00:07:34,080 Speaker 2: praise in a somewhat thoughtful editorial and says, no, people 151 00:07:34,120 --> 00:07:36,200 Speaker 2: are not really leaving the state. It's not as you know, 152 00:07:36,240 --> 00:07:39,520 Speaker 2: it's not bad. And then Polish puts that up on 153 00:07:40,080 --> 00:07:44,360 Speaker 2: x and misinterprets what Patty writes and says, Yeah, Trump's 154 00:07:44,480 --> 00:07:47,600 Speaker 2: just you know something, Trump's just stupid and people are 155 00:07:47,640 --> 00:07:49,920 Speaker 2: just leaving, you know, people are people are just coming 156 00:07:49,960 --> 00:07:54,200 Speaker 2: into Colorado like crazy. So because I have nothing else 157 00:07:54,240 --> 00:07:55,880 Speaker 2: to do in my life, and because I have not 158 00:07:56,040 --> 00:07:59,520 Speaker 2: because I have no life. I'm like, Okay, the truth 159 00:07:59,560 --> 00:08:02,520 Speaker 2: is somewhere here in between, and I want to settle 160 00:08:02,640 --> 00:08:07,360 Speaker 2: once and for all whether or not we are experiencing 161 00:08:07,800 --> 00:08:15,400 Speaker 2: mass in migration or mass out migration. Here's what I found. 162 00:08:16,400 --> 00:08:23,400 Speaker 2: Colorado is still experiencing net in migration. But and what's 163 00:08:23,440 --> 00:08:26,000 Speaker 2: my rule about the butt? Always pay attention to us 164 00:08:26,080 --> 00:08:28,840 Speaker 2: comes after the butt. You know, dragging. You do a 165 00:08:28,880 --> 00:08:32,240 Speaker 2: really good job butt, That's what's important. That's what comes 166 00:08:32,240 --> 00:08:34,800 Speaker 2: after the butt. But you're a pain in the ass. 167 00:08:35,160 --> 00:08:38,040 Speaker 2: You're kind of a dip wad, and you know, you're 168 00:08:38,080 --> 00:08:40,520 Speaker 2: always treating me like dirt and you know, but but 169 00:08:40,800 --> 00:08:42,840 Speaker 2: you're a good producer. But you know, blah blah blah 170 00:08:42,840 --> 00:08:43,319 Speaker 2: blah blah. 171 00:08:43,320 --> 00:08:44,600 Speaker 3: All I heard was a good producer. 172 00:08:44,760 --> 00:08:47,000 Speaker 2: That's right. And that's all you recorded too, isn't it. Yep, 173 00:08:47,080 --> 00:08:52,560 Speaker 2: that's right. So Colorado is still experiencing not in migration, 174 00:08:52,720 --> 00:08:58,320 Speaker 2: but the margin has become extremely small and is now 175 00:08:58,480 --> 00:09:01,480 Speaker 2: far lower than it was ten years ago. So I'm 176 00:09:01,520 --> 00:09:03,360 Speaker 2: going to give you a time frame over the past 177 00:09:03,440 --> 00:09:08,440 Speaker 2: ten years. In practical terms, Colorado is no longer a 178 00:09:08,679 --> 00:09:14,480 Speaker 2: boom state for movers, but it is not yet a 179 00:09:14,640 --> 00:09:19,679 Speaker 2: net people are fleeing the state story, as Trump would say, 180 00:09:20,240 --> 00:09:23,719 Speaker 2: so everybody's taking it to the extremes. Now, to keep 181 00:09:23,760 --> 00:09:28,560 Speaker 2: this objective, it helps to separate three different things. First, 182 00:09:28,840 --> 00:09:32,480 Speaker 2: total population change just a total number of people, which 183 00:09:32,520 --> 00:09:37,920 Speaker 2: includes natural change like people dying and being born, births 184 00:09:38,200 --> 00:09:43,439 Speaker 2: minus deaths. So the first component is natural change birth's 185 00:09:43,480 --> 00:09:49,360 Speaker 2: minus deaths plus net migration in minus out got it, 186 00:09:49,360 --> 00:09:55,199 Speaker 2: it's any versus outies. Colorado's population still grows every year, 187 00:09:56,000 --> 00:09:59,280 Speaker 2: but it's growing more slowly than it was in the 188 00:09:59,320 --> 00:10:02,240 Speaker 2: twenty ten. Now, if you were back here in the 189 00:10:02,360 --> 00:10:07,000 Speaker 2: nineteen nineties, as as obviously I was, we had the 190 00:10:07,160 --> 00:10:13,120 Speaker 2: California tsunami, just Californians everywhere. In fact, I ripped some 191 00:10:13,240 --> 00:10:15,800 Speaker 2: Californias off so bad, selling a couple of homes and 192 00:10:15,840 --> 00:10:19,120 Speaker 2: it's just embarrassing. Well, of those some love wouldn't mind 193 00:10:19,120 --> 00:10:22,199 Speaker 2: having back again. But nonetheless I sold it for well, 194 00:10:22,600 --> 00:10:26,079 Speaker 2: you want to pay walk for this house? Sure, deal, deal. 195 00:10:26,880 --> 00:10:32,200 Speaker 2: Colorado's population still grows every year, and again when I 196 00:10:32,240 --> 00:10:37,920 Speaker 2: say population, that takes into account births minus deaths plus 197 00:10:38,200 --> 00:10:41,520 Speaker 2: people moving into the country. But it is growing more 198 00:10:41,600 --> 00:10:45,120 Speaker 2: slowly than it was in the decade of the twenty tens. 199 00:10:45,960 --> 00:10:52,000 Speaker 2: Now let's think about domestic versus international migration. Domestic moves 200 00:10:53,000 --> 00:10:57,840 Speaker 2: between UH would be moves between Colorado and other states. 201 00:10:58,640 --> 00:11:03,840 Speaker 2: International would be move between Colorado and other countries. Now, recently, 202 00:11:03,960 --> 00:11:08,680 Speaker 2: domestic migration between Colorado and other states has weakened very sharply. 203 00:11:09,600 --> 00:11:13,040 Speaker 2: But interesting I find this fascinating is that international migration 204 00:11:13,600 --> 00:11:16,960 Speaker 2: has grown and now makes up most of the net inflow. 205 00:11:18,440 --> 00:11:20,800 Speaker 2: And then I thought to myself, why are you fascinated 206 00:11:20,800 --> 00:11:29,000 Speaker 2: by that? Because they're counting illegal immigration. Yes, but now 207 00:11:29,080 --> 00:11:33,560 Speaker 2: let's break that down. Let's break down legal versus or 208 00:11:33,640 --> 00:11:35,520 Speaker 2: level versus. That's before we get to the legal versus 209 00:11:35,559 --> 00:11:41,280 Speaker 2: illegal Let's do level versus the direction of migration. What 210 00:11:41,320 --> 00:11:45,040 Speaker 2: do I mean level is how many migrants do we 211 00:11:45,120 --> 00:11:48,640 Speaker 2: gain per year? And the direction is what number is 212 00:11:48,720 --> 00:11:52,440 Speaker 2: positive meaning a move net in or negative a net 213 00:11:52,480 --> 00:11:57,720 Speaker 2: move out. Colorado's net migration is much lower than ten 214 00:11:57,800 --> 00:12:01,560 Speaker 2: years ago, but it's still on the positive side of zero, 215 00:12:02,000 --> 00:12:07,479 Speaker 2: but just barely. Here's the hard data. The most defensible 216 00:12:07,520 --> 00:12:15,200 Speaker 2: way to analyze Trump polist Calhoun is to use Census 217 00:12:15,240 --> 00:12:19,160 Speaker 2: and the Colorado State Demography Office, because what they tend 218 00:12:19,160 --> 00:12:22,440 Speaker 2: to use they talk about you know, U haul, a 219 00:12:22,679 --> 00:12:26,120 Speaker 2: NERD wallet, all of these different organizations, they all have 220 00:12:26,200 --> 00:12:30,199 Speaker 2: their own surveys. Well, I put all of those aside 221 00:12:30,600 --> 00:12:34,120 Speaker 2: because they're not necessarily scientific. They're based on any number 222 00:12:34,120 --> 00:12:36,840 Speaker 2: of things. You know, I rent a U haul. Let's 223 00:12:36,880 --> 00:12:40,360 Speaker 2: say that I rent a U haul because I want 224 00:12:40,400 --> 00:12:44,440 Speaker 2: to move a bunch of stuff out of my house 225 00:12:44,920 --> 00:12:48,760 Speaker 2: down to the house in New Mexico. So I rent 226 00:12:48,760 --> 00:12:50,679 Speaker 2: a U haul over here somewhere in the Tech Center, 227 00:12:51,120 --> 00:12:53,240 Speaker 2: take it down to Holland's ranch, load it up, drive 228 00:12:53,280 --> 00:12:55,280 Speaker 2: it down to New Mexico, dump it off, and then 229 00:12:55,320 --> 00:12:58,040 Speaker 2: I turn it in somewhere in New Mexico. U haul 230 00:12:58,080 --> 00:13:00,600 Speaker 2: would count that as Oh, look, somebody moved a Colorado. 231 00:13:00,679 --> 00:13:03,480 Speaker 2: No I didn't. I moved something out of Colorado, but 232 00:13:03,559 --> 00:13:05,800 Speaker 2: I didn't move out of Colorado. So that's why I 233 00:13:05,840 --> 00:13:09,000 Speaker 2: think these numbers that Patty Calhoun and Jared Polish use 234 00:13:09,280 --> 00:13:15,280 Speaker 2: are kind of iffy. The Trump's the numbers that Trump uses, 235 00:13:15,520 --> 00:13:18,800 Speaker 2: I have no idea where he got those. Let's look 236 00:13:18,840 --> 00:13:23,800 Speaker 2: at twenty three to twenty twenty four population change. Cars 237 00:13:23,840 --> 00:13:28,760 Speaker 2: population increased by about thirty nine thousand people between July 238 00:13:28,920 --> 00:13:33,560 Speaker 2: of twenty three. In July of twenty four thirty nine thousand. 239 00:13:34,600 --> 00:13:39,000 Speaker 2: Roughly thirty three of the thirty nine thousand. Thirty three 240 00:13:39,040 --> 00:13:43,280 Speaker 2: thousand out of the thirty nine thousand were net international migrants, 241 00:13:43,920 --> 00:13:48,520 Speaker 2: and only about fifty four hundred were net domestic migrants 242 00:13:48,679 --> 00:13:55,440 Speaker 2: from other states were being invaded. Now, think about the 243 00:13:55,559 --> 00:14:00,720 Speaker 2: natural increase birth's minus deaths of the thirty nine thousand, 244 00:14:01,559 --> 00:14:05,480 Speaker 2: seventeen thousand, three hundred people are in that category in 245 00:14:05,520 --> 00:14:09,079 Speaker 2: the same general period, and that's been consistent with years 246 00:14:09,559 --> 00:14:13,960 Speaker 2: over the past say two decades. Got it. So, yes, 247 00:14:14,080 --> 00:14:19,520 Speaker 2: we have a net in migration. Most of that thirty 248 00:14:19,520 --> 00:14:23,120 Speaker 2: three out of thirty nine thousand is from international migrants, 249 00:14:23,680 --> 00:14:28,680 Speaker 2: fifty four hundred from domestic other states, and then just 250 00:14:28,920 --> 00:14:33,160 Speaker 2: seventeen thousand, three hundred people because that many people were 251 00:14:33,160 --> 00:14:35,760 Speaker 2: born versus that many people died. Got it. So it's 252 00:14:36,000 --> 00:14:41,320 Speaker 2: it's not it's we're kind of just neutral. Here's the 253 00:14:41,400 --> 00:14:44,240 Speaker 2: trans since twenty twenty. By the way, Dragon, you might 254 00:14:44,240 --> 00:14:46,080 Speaker 2: have to give me a little hint because I really 255 00:14:46,120 --> 00:14:49,880 Speaker 2: can't read the clock without my glasses. Obviously, I can't 256 00:14:49,880 --> 00:14:53,240 Speaker 2: see anything from you. It's it's nine twenty two, I think, 257 00:14:53,320 --> 00:14:56,360 Speaker 2: or something I can't tell. Let's look at the trans 258 00:14:56,400 --> 00:15:01,320 Speaker 2: since twenty twenty. The State Demography Office says that domestic 259 00:15:01,400 --> 00:15:05,840 Speaker 2: migration quote has slowed significantly in recent years to an 260 00:15:05,880 --> 00:15:10,800 Speaker 2: average of sixty five hundred since twenty twenty. Now you 261 00:15:10,840 --> 00:15:13,440 Speaker 2: may think, oh, that's that's that's a lot, Mike, Really 262 00:15:14,040 --> 00:15:18,440 Speaker 2: that's far below they're roughly forty thousand per year net 263 00:15:18,520 --> 00:15:22,480 Speaker 2: migration that we saw in the previous decade. So if 264 00:15:22,520 --> 00:15:25,560 Speaker 2: you go back to the twenty twenty ten to twenty twenty, 265 00:15:25,840 --> 00:15:28,400 Speaker 2: we are averaging roughly forty thousand per year and now 266 00:15:28,400 --> 00:15:31,440 Speaker 2: we're down to sixty five hundred. And then the Common 267 00:15:31,520 --> 00:15:33,600 Speaker 2: Sense Institute whaich I have a lot of faith in 268 00:15:34,400 --> 00:15:38,520 Speaker 2: a December twenty twenty four summary of their census components. 269 00:15:39,360 --> 00:15:44,640 Speaker 2: That report might says net domestic migration was at fifty 270 00:15:44,640 --> 00:15:47,480 Speaker 2: four hundred and twenty two in twenty twenty four, So 271 00:15:47,480 --> 00:15:51,160 Speaker 2: it's really close to what the State Demography Office says. 272 00:15:51,360 --> 00:15:55,400 Speaker 2: That is the second lowest since twenty twenty. I'm sorry, 273 00:15:55,480 --> 00:15:59,120 Speaker 2: since twenty ten. So what is the ten year change? 274 00:15:59,320 --> 00:16:01,840 Speaker 3: Pinting sage bits, I just want to know. Is it 275 00:16:01,880 --> 00:16:04,880 Speaker 3: possible to go maybe one day without talking about various 276 00:16:04,920 --> 00:16:06,080 Speaker 3: parts of Michael's body? 277 00:16:06,640 --> 00:16:08,440 Speaker 2: If not, that's fine. I mean, I'm along for the 278 00:16:08,520 --> 00:16:10,560 Speaker 2: ride either way. I just want to know if it's possible. 279 00:16:13,680 --> 00:16:16,600 Speaker 2: How do you know, I don't know. It's the only 280 00:16:16,640 --> 00:16:20,080 Speaker 2: one I got and it's falling apart, so you know, 281 00:16:20,400 --> 00:16:24,960 Speaker 2: it's just like slow destruction. Just it's kind of like 282 00:16:25,000 --> 00:16:28,520 Speaker 2: color roads and highways, you know, just a little pothole here, 283 00:16:28,560 --> 00:16:30,960 Speaker 2: and then it starts getting larger and larger and nobody 284 00:16:30,960 --> 00:16:32,600 Speaker 2: comes and fix it. But you know, my eyes, I 285 00:16:32,640 --> 00:16:34,200 Speaker 2: wanted to get that fixed, and I want that to 286 00:16:34,200 --> 00:16:36,320 Speaker 2: become a pothole. So I got that one fixed, but 287 00:16:36,400 --> 00:16:38,480 Speaker 2: everything else just you know, kind of saggy and draggy 288 00:16:38,480 --> 00:16:41,320 Speaker 2: and just you know whatever. But you know, nobody cares. 289 00:16:41,520 --> 00:16:46,040 Speaker 3: And the look on your face as the pirate music 290 00:16:46,160 --> 00:16:50,880 Speaker 3: was playing, that is why I do this job well. 291 00:16:50,960 --> 00:16:53,560 Speaker 2: And I don't know because now I'm gonna date myself 292 00:16:53,600 --> 00:16:57,120 Speaker 2: because even he says, so U goober nuverer zero one 293 00:16:57,160 --> 00:17:00,440 Speaker 2: eight five, And I didn't look it up. I did cheap, 294 00:17:00,480 --> 00:17:02,800 Speaker 2: so I didn't look it up. Mike, if you really 295 00:17:02,840 --> 00:17:05,040 Speaker 2: do just have one eyeball now, which I say, have 296 00:17:05,080 --> 00:17:07,240 Speaker 2: both eyeballs, it's just that one's covered right now with 297 00:17:07,280 --> 00:17:10,040 Speaker 2: a patch. Can we call you Wazowski. 298 00:17:11,359 --> 00:17:14,840 Speaker 3: Oh, that would be a Mike Wazowski from Monsters Incorporated, 299 00:17:14,920 --> 00:17:18,119 Speaker 3: the Billy Crystal one eyed Green Monster. 300 00:17:19,040 --> 00:17:21,160 Speaker 2: Because I said that you would probably know. He says 301 00:17:21,200 --> 00:17:22,840 Speaker 2: you might be too old and saggy to know that 302 00:17:22,960 --> 00:17:26,960 Speaker 2: reference probablybout dragon hus does hope you're doing well, Mike, Yeah, 303 00:17:26,960 --> 00:17:30,479 Speaker 2: after making fun of me. Sure, yeah, everybody's as passive 304 00:17:30,520 --> 00:17:35,720 Speaker 2: aggressive as I am, dragging and saggy. But I hope 305 00:17:35,720 --> 00:17:40,720 Speaker 2: you're doing well. Yeah, whatever, And you thought it amazes me. 306 00:17:41,160 --> 00:17:43,720 Speaker 2: The only reason the girl Dad's body is not sagging 307 00:17:43,760 --> 00:17:46,879 Speaker 2: and dragging right now is because it's frozen stiff up 308 00:17:46,880 --> 00:17:49,880 Speaker 2: in Alaska. That's the only reason he's not dragging and saggy. 309 00:17:52,200 --> 00:17:54,320 Speaker 2: And then there's a couple of text messages. I think 310 00:17:54,720 --> 00:17:57,719 Speaker 2: I know what you're Don't get me wrong, I'm not criticizing. 311 00:17:59,040 --> 00:18:02,320 Speaker 2: I'm honestly not, But I don't want you to miss 312 00:18:02,359 --> 00:18:05,160 Speaker 2: the point that I'm trying to make, which you helped 313 00:18:05,240 --> 00:18:09,560 Speaker 2: me by what you wrote. Seventy five to forty four rights, Mike, 314 00:18:09,680 --> 00:18:14,920 Speaker 2: if you pull out retirees, leaving that numbers off the chart, Yes, 315 00:18:15,600 --> 00:18:19,080 Speaker 2: you see, that's my point. That's what both Patty Calhoun 316 00:18:19,160 --> 00:18:22,040 Speaker 2: Donald Trump and Jared Poles were doing. They were cherry 317 00:18:22,040 --> 00:18:25,280 Speaker 2: picking their numbers because you know what's the old saying 318 00:18:25,320 --> 00:18:28,520 Speaker 2: about you know, you got damn lives and you got statistics. Well, 319 00:18:28,600 --> 00:18:31,200 Speaker 2: these are statistics. And I'm trying to give you an 320 00:18:31,200 --> 00:18:35,720 Speaker 2: objective viewpoint because I've even heard and I can say 321 00:18:35,720 --> 00:18:39,160 Speaker 2: this though she's a you know, she's somewhere else right now. 322 00:18:39,480 --> 00:18:42,680 Speaker 2: Tamer's always talking about everybody's leaving Colorado, you know, and 323 00:18:43,080 --> 00:18:48,320 Speaker 2: her perception about that is driven by these stories that 324 00:18:48,440 --> 00:18:50,840 Speaker 2: talk about you know, you haul and everybody else with 325 00:18:50,880 --> 00:18:54,119 Speaker 2: the numbers, and then we have some friends who are leaving, 326 00:18:54,359 --> 00:18:59,280 Speaker 2: and so her perception is everybody's leaving Colorado. And yes, 327 00:18:59,359 --> 00:19:01,320 Speaker 2: I could have come in here and given you numbers 328 00:19:01,359 --> 00:19:03,520 Speaker 2: like the number of retirees that are leaving, and that 329 00:19:03,600 --> 00:19:06,359 Speaker 2: number would be off the chart. Or is number twelve 330 00:19:06,359 --> 00:19:09,160 Speaker 2: forty seven rights? No, I'm sorry, wrong, one seventy seven 331 00:19:09,240 --> 00:19:12,040 Speaker 2: eighty four rights. Trump is going by numbers put up 332 00:19:12,040 --> 00:19:14,679 Speaker 2: by UNI, who is the parent company of both United 333 00:19:14,760 --> 00:19:18,080 Speaker 2: Van Lines and Mayflower. But you are fifth in household 334 00:19:18,119 --> 00:19:23,879 Speaker 2: moving according to their numbers. Yes, but again I don't 335 00:19:23,920 --> 00:19:27,080 Speaker 2: trust those numbers because I gave you the example if 336 00:19:27,200 --> 00:19:30,399 Speaker 2: if I move, if I decide it's time to finally 337 00:19:30,400 --> 00:19:34,160 Speaker 2: clean out, not clean clean it out this way, get 338 00:19:34,200 --> 00:19:36,000 Speaker 2: crap out that terror wants me to get out of 339 00:19:36,000 --> 00:19:38,560 Speaker 2: the house. I'd go around a U haul trailer, I'd 340 00:19:38,560 --> 00:19:40,680 Speaker 2: haul it down to New Mexico, and I'd put it 341 00:19:40,720 --> 00:19:43,320 Speaker 2: in the garage at the house in New Mexico. U 342 00:19:43,400 --> 00:19:46,480 Speaker 2: haul with that count as someone running a U haul 343 00:19:46,680 --> 00:19:48,680 Speaker 2: and dropping it off in New Mexico. They moved out 344 00:19:48,680 --> 00:19:54,320 Speaker 2: of Colorado. So no, let's do the let's do the 345 00:19:54,400 --> 00:19:57,720 Speaker 2: objective numbers. So I gave you the twenty twenty three 346 00:19:57,800 --> 00:20:01,520 Speaker 2: twenty twenty four population change. It increased by about thirty 347 00:20:01,600 --> 00:20:05,120 Speaker 2: nine thousand people during that period. Thirty three thousand were 348 00:20:05,160 --> 00:20:09,800 Speaker 2: international move ins, fifty four hundred were from other states, 349 00:20:10,160 --> 00:20:13,399 Speaker 2: and seventeen thousand and three or seventeen thousand, three hundred 350 00:20:13,600 --> 00:20:17,439 Speaker 2: were you know, net births versus deaths. But what's been 351 00:20:17,480 --> 00:20:20,920 Speaker 2: the ten year change of migration intensity? Go back to 352 00:20:20,960 --> 00:20:25,120 Speaker 2: the Common Sense Institute again. They estimate that by last year, 353 00:20:25,280 --> 00:20:29,399 Speaker 2: statewide net migration was about fifty two point five percent 354 00:20:29,640 --> 00:20:32,840 Speaker 2: lower than it was in twenty fifteen. So over a 355 00:20:32,880 --> 00:20:36,520 Speaker 2: ten year period that the amount of people the number 356 00:20:36,520 --> 00:20:39,560 Speaker 2: of people in net migration into the state has dropped 357 00:20:39,560 --> 00:20:43,680 Speaker 2: by more than half, reflecting roughly thirty six thousand fewer 358 00:20:43,720 --> 00:20:48,680 Speaker 2: people arriving every year compared to the mid twenty tens. 359 00:20:49,080 --> 00:20:52,280 Speaker 2: So again, if and maybe part of the new KOA 360 00:20:52,359 --> 00:20:55,040 Speaker 2: audience isn't used to this, But I like to talk 361 00:20:55,080 --> 00:20:58,680 Speaker 2: a lot about trend lines because you can take any 362 00:20:58,760 --> 00:21:02,119 Speaker 2: part of a trend line and pull it out and say, oh, look, 363 00:21:02,800 --> 00:21:05,280 Speaker 2: if you look at this snapshot, things are really bad 364 00:21:05,320 --> 00:21:08,440 Speaker 2: or things are really good. But when you pull out 365 00:21:09,119 --> 00:21:11,240 Speaker 2: and you do kind of an out of body experience 366 00:21:11,320 --> 00:21:15,639 Speaker 2: and you expand that, say, instead of from twenty ten 367 00:21:15,840 --> 00:21:19,080 Speaker 2: to twenty twenty five, you extend it from nineteen hundred 368 00:21:19,200 --> 00:21:22,560 Speaker 2: to twenty twenty six, you get an entirely different number. 369 00:21:22,720 --> 00:21:25,800 Speaker 2: You know what's a great example of this This morning, 370 00:21:25,880 --> 00:21:30,440 Speaker 2: coming in I heard the I mean literal and if 371 00:21:30,440 --> 00:21:32,640 Speaker 2: this were defends some of you, just call somebody that cares, 372 00:21:32,680 --> 00:21:36,600 Speaker 2: because I don't. I heard the literal dumb ass mayor 373 00:21:36,640 --> 00:21:41,040 Speaker 2: of Minneapolis in a press conference talk. I almost spewed 374 00:21:41,080 --> 00:21:44,560 Speaker 2: out my diet coke about how Minneapolis is one of 375 00:21:44,600 --> 00:21:49,359 Speaker 2: the safest communities in the country. You know why, You know, 376 00:21:49,359 --> 00:21:55,840 Speaker 2: why dragon, because there have been only two shootings this year. 377 00:22:00,040 --> 00:22:01,240 Speaker 3: You're reading that right with one eye? 378 00:22:01,600 --> 00:22:03,280 Speaker 2: Yeah it's January ninth. 379 00:22:04,160 --> 00:22:06,840 Speaker 3: Oh wait, yeah, okay, yeah, two shootings. I got caught 380 00:22:06,880 --> 00:22:08,879 Speaker 3: by the damn you're cripp. 381 00:22:10,800 --> 00:22:13,320 Speaker 2: He literally said, we've only had two shootings this year, 382 00:22:13,359 --> 00:22:16,440 Speaker 2: one of which was by a federal agent, so that 383 00:22:16,520 --> 00:22:21,240 Speaker 2: Minneapolis is safe. And I thought, wow, once again, I know, 384 00:22:21,359 --> 00:22:23,720 Speaker 2: I know you're a dumb ass, but how many useful 385 00:22:23,760 --> 00:22:25,679 Speaker 2: idiots out there are going to hear that press conference 386 00:22:25,680 --> 00:22:28,880 Speaker 2: would go, oh wow, only two shootings, that's a safe 387 00:22:28,920 --> 00:22:32,359 Speaker 2: place to Really, fifty percent of the shootings in Minneapolis 388 00:22:32,400 --> 00:22:33,760 Speaker 2: were by ice agents. 389 00:22:34,240 --> 00:22:35,200 Speaker 3: Oh lord. 390 00:22:35,440 --> 00:22:37,240 Speaker 2: And by the way, you take out two shootings in 391 00:22:37,359 --> 00:22:39,720 Speaker 2: nine days, and that's not really a very good number. 392 00:22:39,760 --> 00:22:41,879 Speaker 2: You to extrapolate that out to three hundred and sixty 393 00:22:41,880 --> 00:22:47,800 Speaker 2: five days. Now, Here's why the headlines between Trump, Paddy Calhoun, 394 00:22:47,840 --> 00:22:54,920 Speaker 2: and Jared Poula's conflict. Conflicting stories generally come about from 395 00:22:54,960 --> 00:22:58,320 Speaker 2: three kinds of choices. I've kind of hinted of that already, 396 00:22:59,240 --> 00:23:04,000 Speaker 2: different times windows. When you have different time windows, you 397 00:23:04,119 --> 00:23:08,560 Speaker 2: get different numbers. If you compare twenty thirteen to two thousand, 398 00:23:09,800 --> 00:23:13,560 Speaker 2: If you compare twenty thirteen to twenty twenty, and compare 399 00:23:13,640 --> 00:23:17,399 Speaker 2: twenty twenty to twenty twenty three. The average net game 400 00:23:17,640 --> 00:23:21,359 Speaker 2: drops from about forty one thousand per year to six 401 00:23:21,480 --> 00:23:25,880 Speaker 2: thousand per year. And that would make quote Colorado's slowly 402 00:23:25,960 --> 00:23:31,399 Speaker 2: dramatic slowing dramatically as a magnet a true statement, a 403 00:23:31,440 --> 00:23:34,879 Speaker 2: true headline. Now, if you only look at twenty twenty 404 00:23:34,880 --> 00:23:37,480 Speaker 2: three to twenty twenty four and just ask is it 405 00:23:37,480 --> 00:23:40,399 Speaker 2: a net positive or net negative? The answer is still 406 00:23:40,440 --> 00:23:46,040 Speaker 2: a net positive inflow. But take domestic only, meaning just 407 00:23:46,359 --> 00:23:50,240 Speaker 2: you know, state state or in house in intrast state 408 00:23:51,400 --> 00:23:54,119 Speaker 2: versus total migration. There are a bunch of analyzes that 409 00:23:54,200 --> 00:23:58,760 Speaker 2: emphasize that domestic migration from Colorado has stagnated and even 410 00:23:58,840 --> 00:24:03,040 Speaker 2: declined between twe twenty four. Have you were Trump's getting 411 00:24:03,040 --> 00:24:05,239 Speaker 2: some of his numbers. Maybe it is UNI, maybe it 412 00:24:05,280 --> 00:24:10,280 Speaker 2: is Mayflower, United Van lines, But excuse me when you 413 00:24:10,280 --> 00:24:15,760 Speaker 2: include international migration, the total net migration is still positive 414 00:24:16,160 --> 00:24:21,080 Speaker 2: because foreign inflows more than offset the weak domestic number. 415 00:24:21,119 --> 00:24:25,760 Speaker 2: Thirty three thousand, the thirty nine thousand. Yes, that's why 416 00:24:26,520 --> 00:24:28,160 Speaker 2: don't believe the headlines. 417 00:24:29,000 --> 00:24:32,400 Speaker 4: Michael, the homeless are dancing on the sidewalks and having 418 00:24:32,440 --> 00:24:35,280 Speaker 4: a good time because you can't drive that old wreck 419 00:24:35,480 --> 00:24:39,040 Speaker 4: beamer of yours down the sidewalks chasing him. But I'm 420 00:24:39,080 --> 00:24:42,520 Speaker 4: the guy who made ned. I'm a Neil pickup yelling 421 00:24:42,600 --> 00:24:45,200 Speaker 4: at you, honking. How does it feel to drive a 422 00:24:45,359 --> 00:24:49,240 Speaker 4: park car? What is it with you? No matter what 423 00:24:49,320 --> 00:24:51,399 Speaker 4: you do, you cause some kind of situation. 424 00:24:52,920 --> 00:24:56,080 Speaker 2: You know, the situation today was, there's no way I 425 00:24:56,080 --> 00:24:57,600 Speaker 2: was going to drive that new car out here on 426 00:24:57,600 --> 00:25:00,560 Speaker 2: the roads. Today, I'm driving the old dog mobile, the 427 00:25:00,600 --> 00:25:07,360 Speaker 2: old Jeep Grand Cherokee. Yeah wait, you drove, yes. Oh, 428 00:25:08,000 --> 00:25:11,679 Speaker 2: I don't need to see to my left ieople need 429 00:25:11,680 --> 00:25:14,240 Speaker 2: to see over there? Oh boy, I just changed lanes. 430 00:25:14,520 --> 00:25:18,040 Speaker 2: I don't you know I can drive like a Colorado driver. 431 00:25:18,359 --> 00:25:20,240 Speaker 2: I don't need to look left. I just I didn't 432 00:25:20,680 --> 00:25:22,680 Speaker 2: use my blinker. Just pull over to the left lane. 433 00:25:22,920 --> 00:25:27,040 Speaker 3: Michae will be leaving at noon today, So if you're 434 00:25:27,080 --> 00:25:31,439 Speaker 3: out to lunch, take an extended lunch, stay there, or 435 00:25:31,640 --> 00:25:35,160 Speaker 3: take a delayed lunch. Just let you know be aware. 436 00:25:35,280 --> 00:25:37,000 Speaker 3: Every every text center. 437 00:25:36,760 --> 00:25:41,240 Speaker 2: Every white Jeep Grand Cherokee that you see, just give 438 00:25:41,280 --> 00:25:45,240 Speaker 2: it a wide berth. Wid. I do have to admit, 439 00:25:45,280 --> 00:25:49,439 Speaker 2: though I left I also left the house this morning 440 00:25:49,880 --> 00:25:50,800 Speaker 2: at seven thirty. 441 00:25:51,720 --> 00:25:53,160 Speaker 3: You didn't get here until nine oh five. 442 00:25:53,480 --> 00:25:56,960 Speaker 2: I touched around because I got on the road first. 443 00:25:56,960 --> 00:25:59,160 Speaker 2: Of all, four to seventy was pretty bad, but once 444 00:25:59,200 --> 00:26:01,320 Speaker 2: I got to twenty five it was fine. So I 445 00:26:01,359 --> 00:26:04,200 Speaker 2: went to Sonic and got uh, you know, my typical 446 00:26:04,240 --> 00:26:06,639 Speaker 2: diet coke Ali. You know, Alex has been the manager 447 00:26:06,640 --> 00:26:08,280 Speaker 2: there for like twenty I think as long as I've 448 00:26:08,280 --> 00:26:10,600 Speaker 2: been on radio, he's been the manager over there. It's fascinating. 449 00:26:11,359 --> 00:26:13,800 Speaker 2: And then I headed over here. I actually pulled into 450 00:26:13,840 --> 00:26:16,520 Speaker 2: the parking lot, looked at my watch and said, cramp. 451 00:26:16,520 --> 00:26:18,600 Speaker 2: I could have breakfast. So I ran over McDonald's and 452 00:26:18,640 --> 00:26:22,480 Speaker 2: got a bagel, sausage and egg bagel and had it 453 00:26:22,480 --> 00:26:23,879 Speaker 2: on the way back over here, and then came in 454 00:26:23,880 --> 00:26:25,120 Speaker 2: in this a little show prep. 455 00:26:29,119 --> 00:26:31,359 Speaker 3: Not only did you drive here to work, you you 456 00:26:31,640 --> 00:26:34,920 Speaker 3: decided to drive extra with with one eye. So from 457 00:26:35,000 --> 00:26:39,080 Speaker 3: the stay off the road, not because of shut up, 458 00:26:39,640 --> 00:26:42,720 Speaker 3: shut up, not because of the snow or the icy 459 00:26:42,880 --> 00:26:47,760 Speaker 3: roads or anything. Stay off the road because Michael is 460 00:26:48,000 --> 00:26:52,800 Speaker 3: driving with one eye and not in the beamer. No, 461 00:26:52,880 --> 00:26:56,199 Speaker 3: he's in the beast of a freaking jeep Grand Cherokee. 462 00:26:56,760 --> 00:26:59,400 Speaker 2: So easy to make left turns because you can't see anything, 463 00:26:59,480 --> 00:27:02,120 Speaker 2: so you just turn left. You don't have to look 464 00:27:02,119 --> 00:27:05,159 Speaker 2: over your should you have anything, just turn left. And 465 00:27:05,200 --> 00:27:06,560 Speaker 2: I always just say, well, I'm just now for it. 466 00:27:06,600 --> 00:27:08,360 Speaker 2: I don't you know, I don't know, I'm I'm sorry. 467 00:27:08,440 --> 00:27:09,600 Speaker 2: All your blinkers on. 468 00:27:09,680 --> 00:27:15,000 Speaker 3: Anyway, that's it. 469 00:27:15,560 --> 00:27:17,840 Speaker 2: When I leave today, I'll just turn the left blinker on, 470 00:27:18,040 --> 00:27:27,399 Speaker 2: just leave it all the rest. Oh God, is it Friday? 471 00:27:28,320 --> 00:27:30,920 Speaker 2: And I want to tell sad part is the next hour. 472 00:27:30,960 --> 00:27:33,520 Speaker 2: I want to talk about the Iranians and how the 473 00:27:33,640 --> 00:27:36,000 Speaker 2: Rathians are putting their lives on the line to try 474 00:27:36,040 --> 00:27:38,119 Speaker 2: to to try to live a free life. 475 00:27:38,680 --> 00:27:42,040 Speaker 3: Real quick reminder, though it is taxpayer leaf show Friday, 476 00:27:42,280 --> 00:27:48,600 Speaker 3: but KOA is the exclusive home of taxpayer relief shots. 477 00:27:48,840 --> 00:27:51,600 Speaker 3: So when you're listening to this and the situation reloaded 478 00:27:51,600 --> 00:27:54,640 Speaker 3: on six point thirty k how you can only hear 479 00:27:55,040 --> 00:27:57,240 Speaker 3: taxpayer relief shots on KOWA. 480 00:27:57,520 --> 00:28:04,679 Speaker 2: Yes, the exclusive home of taxpayer relief shots. Exactly. All right, 481 00:28:04,760 --> 00:28:09,160 Speaker 2: let's go back, let's try. Let's try to finish something today. 482 00:28:09,359 --> 00:28:13,120 Speaker 2: You HAULS twenty twenty five growth index if you start 483 00:28:13,160 --> 00:28:17,960 Speaker 2: using these private moving data indices, shows Colorado actually roughly 484 00:28:18,000 --> 00:28:20,600 Speaker 2: balanced fifty point one percent of their record of moves 485 00:28:20,600 --> 00:28:23,760 Speaker 2: inbound forty nine point nine percent outbound. That ranks US 486 00:28:23,760 --> 00:28:28,320 Speaker 2: twenty third overall move Buddhist data indicates between nineteen and 487 00:28:28,440 --> 00:28:31,520 Speaker 2: twenty five people are forty eight percent less likely to 488 00:28:31,560 --> 00:28:34,520 Speaker 2: move into Denver than before, which supports the idea that 489 00:28:34,560 --> 00:28:38,520 Speaker 2: people are avoiding Denver, even though state overall still ekes 490 00:28:38,520 --> 00:28:43,880 Speaker 2: out some net gains. So here's the objective conclusion. Colorad's 491 00:28:43,880 --> 00:28:48,240 Speaker 2: overall net migration is still positive. Some people are moving 492 00:28:48,280 --> 00:28:51,640 Speaker 2: into Colorado more people are slightly more people are moving 493 00:28:51,680 --> 00:28:55,520 Speaker 2: into Colorado than moving outs out. Once you combine domestic 494 00:28:55,560 --> 00:29:02,440 Speaker 2: and international flows, domestic migration is weak to flat. Colorado 495 00:29:02,560 --> 00:29:06,160 Speaker 2: is no longer a top domestic magnet. It sits near 496 00:29:06,200 --> 00:29:12,040 Speaker 2: the bottom of the last decade's performance. International migration plus 497 00:29:12,080 --> 00:29:17,160 Speaker 2: moderate natural increases in state that's what keeps Colorado on 498 00:29:17,200 --> 00:29:21,400 Speaker 2: the positive side of the ledger. It is not. It 499 00:29:21,560 --> 00:29:27,280 Speaker 2: is not people moving into Colorado from other states. And 500 00:29:27,320 --> 00:29:30,440 Speaker 2: I would like to know, and maybe I will dig into, 501 00:29:30,480 --> 00:29:35,840 Speaker 2: just how much more are coming from international that are 502 00:29:35,880 --> 00:29:37,400 Speaker 2: legal versus illegal