1 00:00:00,960 --> 00:00:04,280 Speaker 1: If you or your spouse have difficulty choosing what type 2 00:00:04,320 --> 00:00:07,840 Speaker 1: of food you want to go out to eat, go 3 00:00:07,960 --> 00:00:13,040 Speaker 1: on Amazon dot com now and search for dice for 4 00:00:13,240 --> 00:00:17,280 Speaker 1: type of food. They'll come up with various options, from 5 00:00:17,560 --> 00:00:22,240 Speaker 1: wood ones to steal, et cetera. And today some of 6 00:00:22,280 --> 00:00:25,639 Speaker 1: them are as low as just four dollars. Great way 7 00:00:25,680 --> 00:00:26,720 Speaker 1: to ease attention. 8 00:00:29,040 --> 00:00:33,000 Speaker 2: It's not gonna work because steak's gonna pop up and 9 00:00:33,040 --> 00:00:33,839 Speaker 2: she's gonna go No. 10 00:00:34,440 --> 00:00:39,680 Speaker 3: Right, it's just it's just an It's another step in 11 00:00:39,720 --> 00:00:43,960 Speaker 3: the whole process of finally getting the female in the 12 00:00:44,040 --> 00:00:47,720 Speaker 3: relationship to just tell us what you want to eat. 13 00:00:48,760 --> 00:00:51,480 Speaker 3: That's all we're asking, just what do you want to eat? 14 00:00:54,160 --> 00:00:58,880 Speaker 3: There there are a few times, not very often, that 15 00:00:58,960 --> 00:01:01,920 Speaker 3: there's something in particular I want to eat, and I'll 16 00:01:01,960 --> 00:01:04,759 Speaker 3: say it, I'd like to go eat Mexican tonight. I'd 17 00:01:04,800 --> 00:01:11,640 Speaker 3: like to go eat green beans tonight. Sometimes I do that. 18 00:01:11,680 --> 00:01:16,080 Speaker 3: It's okay, not always, but at least I've said this 19 00:01:16,160 --> 00:01:20,479 Speaker 3: is what I want to go eat the dice. That's 20 00:01:20,600 --> 00:01:26,160 Speaker 3: just substituting me suggesting things for the dice. Suggesting things 21 00:01:26,480 --> 00:01:27,640 Speaker 3: accomplishes nothing. 22 00:01:28,600 --> 00:01:32,080 Speaker 2: I have made the mistake of going, hey, I'm going 23 00:01:32,120 --> 00:01:36,840 Speaker 2: to Taco Bell. Do you want anything? No, that's okay. 24 00:01:36,959 --> 00:01:38,920 Speaker 2: Now I don't want taco okay, So I go to 25 00:01:38,959 --> 00:01:43,320 Speaker 2: Taco Bell, get only what I want, bring it home, 26 00:01:44,240 --> 00:01:47,680 Speaker 2: and then she starts picking up my tacos, going this 27 00:01:47,760 --> 00:01:53,040 Speaker 2: is no, no, no, you did not want anything. This 28 00:01:53,200 --> 00:01:56,440 Speaker 2: is mine stay away. 29 00:01:57,000 --> 00:01:59,840 Speaker 3: Oh I'm sure that's what you say. This is my 30 00:02:00,360 --> 00:02:03,400 Speaker 3: stay away. You're making a second trip to Taco Bell? 31 00:02:04,240 --> 00:02:04,520 Speaker 4: Or now? 32 00:02:04,720 --> 00:02:06,960 Speaker 3: Or now you're in the now you're in the cupboard 33 00:02:07,000 --> 00:02:08,959 Speaker 3: digging out peanut butter and jelly. 34 00:02:09,320 --> 00:02:16,280 Speaker 2: I did that once and I'm still alive. Now I 35 00:02:16,320 --> 00:02:18,960 Speaker 2: know better if I go to Chick fil a'et how 36 00:02:19,000 --> 00:02:24,720 Speaker 2: long is the recovery period? I'm smarter now I know. 37 00:02:24,760 --> 00:02:27,680 Speaker 2: If I'm going to Chick fil a, do you want anything? 38 00:02:28,000 --> 00:02:28,240 Speaker 4: No? 39 00:02:28,600 --> 00:02:33,639 Speaker 2: All right, extra chicken meal? Better bring home a Sunday too. 40 00:02:35,800 --> 00:02:37,919 Speaker 2: Vanilla shake, Vanilla shake. Gotta bring the vanilla shake. 41 00:02:38,560 --> 00:02:40,120 Speaker 3: And then of course you have the car fries on 42 00:02:40,160 --> 00:02:42,800 Speaker 3: top of that. Sure do so your your one meal? 43 00:02:42,800 --> 00:02:44,800 Speaker 3: It was going to be eighteen ninety five is now 44 00:02:44,880 --> 00:02:49,040 Speaker 3: thirty six ninety five because nothing, you know, you can't 45 00:02:49,120 --> 00:02:52,399 Speaker 3: you can't even go to the fast food crapple places. Anymore, 46 00:02:52,800 --> 00:02:55,080 Speaker 3: even for an individual, I guess unless you've met to 47 00:02:55,240 --> 00:02:57,960 Speaker 3: McDonald's and got the single the you know, the little 48 00:02:58,080 --> 00:03:02,400 Speaker 3: cheap hamburger small a small dyke coke. I bet that's 49 00:03:02,400 --> 00:03:03,680 Speaker 3: still ten bucks. 50 00:03:04,280 --> 00:03:07,200 Speaker 2: Real quick, just because I can. Did Did chick fil 51 00:03:07,200 --> 00:03:10,560 Speaker 2: A change their fries or how they cook them? 52 00:03:10,960 --> 00:03:12,800 Speaker 4: Why? They just I. 53 00:03:12,800 --> 00:03:15,200 Speaker 2: Don't feel that there is crispy the past few times 54 00:03:15,200 --> 00:03:17,680 Speaker 2: that I've gone, and they just don't quite taste the same. 55 00:03:18,120 --> 00:03:21,440 Speaker 4: They changed the oil? They changed? Did somebody somebody smarter 56 00:03:21,520 --> 00:03:23,840 Speaker 4: than me? Did did chick fil A change? 57 00:03:23,960 --> 00:03:27,160 Speaker 3: Which is the entire audience? Uh so, anybody the audience 58 00:03:27,240 --> 00:03:30,280 Speaker 3: answered this? Seriously? I haven't been chick flameing quite a 59 00:03:30,280 --> 00:03:30,960 Speaker 3: while here? 60 00:03:31,000 --> 00:03:31,440 Speaker 4: Is it just me? 61 00:03:32,200 --> 00:03:36,280 Speaker 3: Okay? You go the same chick fil A every time? Yeah, Parker, Okay, 62 00:03:36,760 --> 00:03:38,680 Speaker 3: all right, we need to know did chick fil A 63 00:03:38,800 --> 00:03:41,760 Speaker 3: do something different? Now? We're not gonna look it up ourselves. 64 00:03:41,800 --> 00:03:42,800 Speaker 3: That's what you're here for. 65 00:03:43,440 --> 00:03:44,280 Speaker 4: What we pay you for. 66 00:03:44,520 --> 00:03:48,560 Speaker 3: They exactly. So the good news is, before I get 67 00:03:48,600 --> 00:03:51,600 Speaker 3: into the bad news, the good news is that the 68 00:03:51,720 --> 00:03:57,800 Speaker 3: United Nations Digital ID has a rived. I don't see 69 00:03:57,840 --> 00:04:00,360 Speaker 3: that's that's the attitude to have. I don't many of 70 00:04:00,400 --> 00:04:05,920 Speaker 3: you are like squeamish kind of ooh, don't like this idea? 71 00:04:06,560 --> 00:04:12,040 Speaker 3: Why what could possibly go wrong with a digital identification 72 00:04:12,200 --> 00:04:18,000 Speaker 3: system that is developed and controlled by globalist elites who 73 00:04:18,040 --> 00:04:20,920 Speaker 3: subscribe to the Club of Rome philosophy that the world is, 74 00:04:21,200 --> 00:04:24,640 Speaker 3: you know, vastly overpopulated and we need to reduce the 75 00:04:24,720 --> 00:04:27,640 Speaker 3: number of people in the world by ninety percent. I 76 00:04:28,120 --> 00:04:30,560 Speaker 3: just don't understand why people are so upset about this, 77 00:04:30,680 --> 00:04:34,360 Speaker 3: and what are you worried about? I don't Maybe it's 78 00:04:34,440 --> 00:04:39,440 Speaker 3: just me. Did you find anything in that fifty five 79 00:04:39,560 --> 00:04:44,200 Speaker 3: seconds that bothered you? I mean it had you know. 80 00:04:44,600 --> 00:04:47,840 Speaker 3: It was really cute. She has a nice, pleasant voice, 81 00:04:48,400 --> 00:04:52,800 Speaker 3: The graphics were wonderful. I didn't find anything wrong with it. 82 00:04:52,880 --> 00:04:57,760 Speaker 3: So let's just analyze it for a second. Who when 83 00:04:57,760 --> 00:05:03,320 Speaker 3: she says how we managed? My first question was you 84 00:05:03,400 --> 00:05:08,520 Speaker 3: mean me, like, how do I manage? Or how do 85 00:05:08,640 --> 00:05:13,280 Speaker 3: they manage? That's my first concern. Then my second concern 86 00:05:13,520 --> 00:05:17,280 Speaker 3: was what does the United Nations have to do with 87 00:05:17,560 --> 00:05:22,040 Speaker 3: my id? Are we now subjecting ourselves? Are we now 88 00:05:22,120 --> 00:05:28,160 Speaker 3: genuflecting to the great you know Turtle Bay on the 89 00:05:28,160 --> 00:05:31,560 Speaker 3: East Rivers? That is that what we're doing, We're allowing 90 00:05:31,600 --> 00:05:36,960 Speaker 3: them to now tell us the United States of America, 91 00:05:37,880 --> 00:05:39,800 Speaker 3: how we're going to use our IDs or what kind 92 00:05:39,839 --> 00:05:43,240 Speaker 3: of ideas we're going to use. That's the second thing 93 00:05:44,000 --> 00:05:49,840 Speaker 3: that one sent me into. How we're going to listen 94 00:05:49,880 --> 00:05:55,279 Speaker 3: to list closely access to platforms and buildings. Now, if 95 00:05:55,400 --> 00:06:01,120 Speaker 3: the digital ID is going to give me access to platforms, buildings, 96 00:06:01,160 --> 00:06:04,960 Speaker 3: social benefits, whatever it might mean, everything that they listed there, 97 00:06:06,360 --> 00:06:09,440 Speaker 3: that means that someone has to on the other side 98 00:06:09,480 --> 00:06:13,800 Speaker 3: of that digital ID has to approve my access to 99 00:06:13,880 --> 00:06:18,480 Speaker 3: those platforms, which means they are the ones they decide 100 00:06:18,480 --> 00:06:21,560 Speaker 3: whether or not I get to access them. HM. That's 101 00:06:21,680 --> 00:06:27,320 Speaker 3: a big ass problem for me. Oh, it's universal system wide. 102 00:06:28,560 --> 00:06:36,880 Speaker 3: It's called a hackers payday. All of your personal pay, medical, 103 00:06:37,600 --> 00:06:41,120 Speaker 3: all pension date all right there in the palm of 104 00:06:43,360 --> 00:06:50,000 Speaker 3: your hand and their hand and theirs and their's. And 105 00:06:50,080 --> 00:06:54,200 Speaker 3: there's I know that a lot of stuff that we 106 00:06:54,839 --> 00:06:59,400 Speaker 3: virtually everything, you know, I think about, iHeart all of 107 00:06:59,440 --> 00:07:08,880 Speaker 3: our hayroll, pension benefits, everything is digital. But that's just iHeart. 108 00:07:10,320 --> 00:07:17,679 Speaker 3: So iHeart controls its flow of information about my benefits, salary, wages, 109 00:07:17,720 --> 00:07:21,800 Speaker 3: blah blah blah, everything that's going back and forth between 110 00:07:21,800 --> 00:07:26,480 Speaker 3: me and that company. I don't want anybody else accessing that. 111 00:07:27,160 --> 00:07:28,840 Speaker 3: And in fact, you know, dragon's been quite a while 112 00:07:28,840 --> 00:07:31,760 Speaker 3: since we've gotten emails about watch out for this fishing 113 00:07:31,880 --> 00:07:34,960 Speaker 3: or or they sence. I haven't gotten a fake email 114 00:07:35,040 --> 00:07:36,800 Speaker 3: a long time, not a long time. If I have, 115 00:07:36,880 --> 00:07:37,760 Speaker 3: I've just deleted it. 116 00:07:38,120 --> 00:07:41,000 Speaker 2: Now I've gotten more emails from corporate than the fake ones. 117 00:07:42,120 --> 00:07:48,560 Speaker 3: Yeah, giving you full control, giving them full control. You 118 00:07:48,640 --> 00:07:53,400 Speaker 3: get your biometrics on there too. This is fantastic, isn't it. Oh, 119 00:07:53,640 --> 00:07:58,680 Speaker 3: this is the utopia I've been waiting for. Immutable. Well, 120 00:07:58,680 --> 00:08:02,240 Speaker 3: I don't think I've ever use the term immutable on 121 00:08:02,280 --> 00:08:07,640 Speaker 3: this program, except to refer to immutable characteristics like your race. 122 00:08:08,360 --> 00:08:14,280 Speaker 3: But what's immutable about this? I'd say it's completely mutable. 123 00:08:15,040 --> 00:08:19,360 Speaker 3: It's not immutable. It's a totally mutable a building block, 124 00:08:20,160 --> 00:08:22,760 Speaker 3: meaning it's just the first of many steps that we 125 00:08:22,880 --> 00:08:27,320 Speaker 3: might take in controlling your life. 126 00:08:27,720 --> 00:08:28,160 Speaker 4: Wow. 127 00:08:29,280 --> 00:08:32,800 Speaker 3: The Common Sense Institute, which is one of the most 128 00:08:32,840 --> 00:08:37,760 Speaker 3: aptly named organizations in Colorado, is out with a study. 129 00:08:38,320 --> 00:08:39,439 Speaker 3: Real quick answer. 130 00:08:39,840 --> 00:08:42,240 Speaker 2: That last segment sound a little bit choppy on the podcast. 131 00:08:43,000 --> 00:08:44,880 Speaker 2: Just go check out, Michael says, go here dot com. 132 00:08:44,920 --> 00:08:46,520 Speaker 2: You'll find that video there. 133 00:08:49,280 --> 00:08:50,800 Speaker 3: Even that music. 134 00:08:51,880 --> 00:08:55,280 Speaker 4: Is it music that I put in there? That is 135 00:08:55,800 --> 00:08:56,319 Speaker 4: this music? 136 00:08:56,480 --> 00:08:57,959 Speaker 3: No, it's music I put in. 137 00:08:57,920 --> 00:09:00,640 Speaker 4: There, the music. 138 00:09:01,679 --> 00:09:04,240 Speaker 3: Yes, I sat down in the basement and they in 139 00:09:04,320 --> 00:09:07,120 Speaker 3: the studio last night, and I strung my guitar and 140 00:09:07,120 --> 00:09:07,840 Speaker 3: put it on there. 141 00:09:07,880 --> 00:09:12,800 Speaker 4: Okay, do you doubt me very much? So? 142 00:09:13,880 --> 00:09:17,559 Speaker 3: Well, okay, so I had I had my little minstrul 143 00:09:17,600 --> 00:09:21,439 Speaker 3: friend come over and do it, right, Yeah, I had 144 00:09:21,520 --> 00:09:25,280 Speaker 3: Joey come over and do it. Joey's a minstrel. Joey 145 00:09:25,280 --> 00:09:26,200 Speaker 3: said we could use it. 146 00:09:28,320 --> 00:09:29,720 Speaker 4: Michael says, go here dot. 147 00:09:29,559 --> 00:09:35,760 Speaker 2: Com because reasons, because reasons that I despise. 148 00:09:36,960 --> 00:09:40,840 Speaker 3: I despise them. Anyway, they got to study, you know, 149 00:09:40,840 --> 00:09:46,360 Speaker 3: they study all sorts of topics, particularly primarily focused in Colorado. 150 00:09:47,480 --> 00:09:51,079 Speaker 3: That's why it's the Common Institute of Colorado. But they 151 00:09:51,080 --> 00:09:53,199 Speaker 3: did one about education, and I want to walk through 152 00:09:53,200 --> 00:09:59,319 Speaker 3: it for a little bit because it's absolutely infuriating. So 153 00:09:59,400 --> 00:10:03,880 Speaker 3: let's start with one undeniable fact that Colorhall's public education 154 00:10:04,040 --> 00:10:12,920 Speaker 3: system is experiencing an unprecedented financial windfall. Yes, we're spending 155 00:10:13,600 --> 00:10:15,840 Speaker 3: more and more money than you could more money you 156 00:10:15,840 --> 00:10:21,640 Speaker 3: could possibly imagine. So you would assume incorrectly, you would 157 00:10:21,679 --> 00:10:26,200 Speaker 3: assume that we're getting some fantastic results from all this spending. 158 00:10:26,679 --> 00:10:30,280 Speaker 3: Since twenty twenty, total public education revenue from all sources 159 00:10:30,800 --> 00:10:34,920 Speaker 3: increased by twenty one percent. Education spending in this state 160 00:10:35,000 --> 00:10:38,360 Speaker 3: went from fourteen and a half billion, this is since 161 00:10:38,400 --> 00:10:45,480 Speaker 3: twenty twenty to seventeen point six billion dollars total spending 162 00:10:46,080 --> 00:10:52,559 Speaker 3: followed suit spending climb from this twenty four percent climb 163 00:10:52,640 --> 00:10:56,640 Speaker 3: from fourteen point six billion to eighteen point one billion. 164 00:10:57,720 --> 00:11:02,880 Speaker 3: Those are record breaking spending amounts by you and me 165 00:11:02,960 --> 00:11:06,520 Speaker 3: as taxpayers in this state, both at the state and 166 00:11:06,600 --> 00:11:11,400 Speaker 3: the local level, and all that's been driven by policy 167 00:11:11,480 --> 00:11:16,839 Speaker 3: changes and rapidly increasing property taxes after the federal COVID 168 00:11:16,960 --> 00:11:20,880 Speaker 3: relief funds went away, which we knew they were going away. 169 00:11:22,240 --> 00:11:26,920 Speaker 3: Yet all of this fiscal generosity doesn't seem to be 170 00:11:27,000 --> 00:11:29,360 Speaker 3: producing the results that you would think it would produce. 171 00:11:30,400 --> 00:11:33,920 Speaker 3: Enrollment in public education in Colorado has declined five years 172 00:11:33,920 --> 00:11:37,920 Speaker 3: in a row. Student achievements slipped in twenty twenty five. 173 00:11:38,679 --> 00:11:42,360 Speaker 3: There was a brief improvement last year of Colorado's one 174 00:11:42,440 --> 00:11:46,520 Speaker 3: hundred and seventy eight school districts. One hundred and sixteen 175 00:11:46,640 --> 00:11:50,200 Speaker 3: loss students this year and one hundred and twenty, including 176 00:11:50,240 --> 00:11:54,960 Speaker 3: the nine largest, served fewer students than they did just 177 00:11:54,960 --> 00:12:00,680 Speaker 3: a short five years ago. Statewide enrollment and public education 178 00:12:00,760 --> 00:12:03,240 Speaker 3: in Colorado is more than three and a half percent 179 00:12:03,640 --> 00:12:09,679 Speaker 3: below the peak in twenty twenty. Per student spending now, remember, 180 00:12:10,440 --> 00:12:15,080 Speaker 3: enrollment is down three and a half percent, spending per 181 00:12:15,200 --> 00:12:21,000 Speaker 3: student surged forty eight percent since twenty eighteen. Student per 182 00:12:21,440 --> 00:12:26,160 Speaker 3: per student spending has gone from eleven two hundred forty 183 00:12:26,200 --> 00:12:30,800 Speaker 3: eight dollars in twenty eighteen to more than sixteen thousand 184 00:12:30,800 --> 00:12:37,480 Speaker 3: dollars today. So what are you getting for that? You're kidding? 185 00:12:37,559 --> 00:12:42,559 Speaker 3: Amazing results. Colorado ought to be the beacon for other 186 00:12:42,640 --> 00:12:47,040 Speaker 3: states on how to effectively and efficiently spend education dollars 187 00:12:47,400 --> 00:12:51,720 Speaker 3: so that we create a group of educated students that 188 00:12:51,840 --> 00:12:57,200 Speaker 3: can just go out and conquer the world, create new technologies, 189 00:12:57,840 --> 00:13:03,559 Speaker 3: create new efficiencies, up with new ideas that will improve 190 00:13:03,760 --> 00:13:10,720 Speaker 3: mankind beyond imagination. Because well, third grade reading in math 191 00:13:10,760 --> 00:13:19,400 Speaker 3: proficiency scores, they're slipping fewer than half. Fewer than half 192 00:13:19,480 --> 00:13:25,120 Speaker 3: of Colorado students now meet grade level expectations, even as 193 00:13:25,240 --> 00:13:29,560 Speaker 3: seventy one percent of Colorado schools earn the highest performance 194 00:13:29,640 --> 00:13:36,640 Speaker 3: rating under the current framework. Now that seems contradictory. Right now, 195 00:13:36,640 --> 00:13:39,800 Speaker 3: they're going to start these new finance formulas for the 196 00:13:39,840 --> 00:13:43,760 Speaker 3: twenty twenty five twenty twenty six school year, a new 197 00:13:43,840 --> 00:13:48,840 Speaker 3: finance formula adjusting district funding based on factors like counts 198 00:13:48,880 --> 00:13:54,720 Speaker 3: of special education students, English language learners, and at risk youth. 199 00:13:55,720 --> 00:13:59,960 Speaker 3: So in the first year alone, that will add more 200 00:14:00,080 --> 00:14:04,079 Speaker 3: than ninety one million dollars in new state education funding. 201 00:14:05,440 --> 00:14:08,080 Speaker 3: And then you add on to that house built twenty 202 00:14:08,080 --> 00:14:12,720 Speaker 3: five twelve seventy eight, that's going to reshape accountability. So 203 00:14:12,720 --> 00:14:14,679 Speaker 3: they're going to add a bunch of new testing standards 204 00:14:15,120 --> 00:14:22,040 Speaker 3: and obviously performance indicators. But to what end is that 205 00:14:22,080 --> 00:14:27,840 Speaker 3: really going to improve reading scores, math scores, science scores? 206 00:14:28,440 --> 00:14:31,560 Speaker 3: Is that going to get them maybe the grade level 207 00:14:32,520 --> 00:14:39,960 Speaker 3: with it, hopefully get them above grade level? This report 208 00:14:40,680 --> 00:14:43,960 Speaker 3: don't get me wrong, I admire them for doing this study, 209 00:14:44,600 --> 00:14:49,840 Speaker 3: but the study itself is infuriating. Declining enrollment is worse 210 00:14:49,880 --> 00:14:53,560 Speaker 3: than the Denver metro area, which lost more than six 211 00:14:53,640 --> 00:14:58,160 Speaker 3: percent of its student population since twenty twenty. The Northeast 212 00:14:58,200 --> 00:15:02,400 Speaker 3: region is the exception. In the Northeast region, out in 213 00:15:02,440 --> 00:15:07,240 Speaker 3: the Eastern Plains, it's grown every year since twenty twenty one. Now, 214 00:15:07,280 --> 00:15:09,040 Speaker 3: I don't know the reason for that. I could make 215 00:15:09,120 --> 00:15:13,080 Speaker 3: I could speculate one is people are moving away. They're 216 00:15:13,120 --> 00:15:15,720 Speaker 3: sick of the front range, so they're going out on 217 00:15:15,800 --> 00:15:17,760 Speaker 3: the western slope. They're going out on the eastern plains. 218 00:15:18,120 --> 00:15:21,800 Speaker 3: I do the same thing. But despite the growth in 219 00:15:21,840 --> 00:15:26,880 Speaker 3: that area that pays the least in teacher salaries, spends 220 00:15:26,920 --> 00:15:31,080 Speaker 3: the second least per pupil, and has the lowest graduation 221 00:15:31,360 --> 00:15:37,560 Speaker 3: rate statewide. Now the loss is most acute among young kids, 222 00:15:37,560 --> 00:15:41,240 Speaker 3: particularly in pre k and kindergarten, where enrollment fell seven 223 00:15:41,640 --> 00:15:45,240 Speaker 3: and eight percent, respectively since twenty twenty, even as their 224 00:15:45,240 --> 00:15:51,240 Speaker 3: funding grew. So you're you've got a declining enrollment, increase spending, 225 00:15:51,720 --> 00:15:54,440 Speaker 3: and at the same time, guess what's happening. Oh yeah, 226 00:15:55,120 --> 00:15:59,560 Speaker 3: scores below grade level. If we could screw up stuff 227 00:15:59,600 --> 00:16:02,760 Speaker 3: anymore in Colorado, whether it be roades, bridges, highways, or education, 228 00:16:02,920 --> 00:16:05,360 Speaker 3: I don't know how they do it, but I'm sure 229 00:16:05,400 --> 00:16:07,200 Speaker 3: they'll find a way. 230 00:16:07,240 --> 00:16:10,080 Speaker 1: Hey, Michael, I know how to fix this entire problem. 231 00:16:10,240 --> 00:16:11,960 Speaker 4: Do what I do. Cook. 232 00:16:12,640 --> 00:16:15,200 Speaker 1: All women should know how to cook, because then they 233 00:16:15,200 --> 00:16:16,840 Speaker 1: don't ever have to ask us for dinner. 234 00:16:17,000 --> 00:16:17,760 Speaker 2: They can make it. 235 00:16:18,080 --> 00:16:20,960 Speaker 1: Now, I know that's stereotypical, but you know, I don't mind. 236 00:16:20,920 --> 00:16:23,680 Speaker 4: Because then I'm in complete control and you get to 237 00:16:23,720 --> 00:16:25,440 Speaker 4: eat what I want to eat. 238 00:16:26,200 --> 00:16:29,160 Speaker 3: Just say, guess where we're going to dinner, And the 239 00:16:29,240 --> 00:16:31,960 Speaker 3: first guess she takes is where you go. 240 00:16:33,760 --> 00:16:36,480 Speaker 2: Yeah, I've heard that hack before. I can't recall as 241 00:16:36,480 --> 00:16:38,320 Speaker 2: to if I've tried it or not, but I think 242 00:16:38,360 --> 00:16:41,040 Speaker 2: she's also seen that on social media, so she's probably 243 00:16:41,080 --> 00:16:46,520 Speaker 2: wise to that. And the first thing cook will missus 244 00:16:46,560 --> 00:16:51,720 Speaker 2: Redbeard set the dishwasher on fire, so's she's not. 245 00:16:51,960 --> 00:16:54,200 Speaker 4: Adept in the kitchen. So that's it. 246 00:16:54,480 --> 00:16:59,600 Speaker 3: Hmmmm. So Cameron, you know we do eat out a lot, 247 00:17:00,080 --> 00:17:03,600 Speaker 3: but it's primarily on the weekends. During the week Tammer 248 00:17:03,640 --> 00:17:06,359 Speaker 3: cooks almost every evening. Now, she didn't last night because 249 00:17:06,359 --> 00:17:07,919 Speaker 3: she had been gone, Well I was gone. She was 250 00:17:08,000 --> 00:17:10,879 Speaker 3: up in Montana. I was in New York, and so 251 00:17:11,040 --> 00:17:14,359 Speaker 3: last night she didn't. You know, I just knew. Sometimes 252 00:17:14,400 --> 00:17:17,320 Speaker 3: I can tell by just opening the refrigerator and seeing 253 00:17:17,359 --> 00:17:20,160 Speaker 3: if they're you know, steaks or chicken or anything falling out. 254 00:17:20,320 --> 00:17:23,960 Speaker 3: But she's actually a fabulous cook. She does really good. Now. 255 00:17:24,000 --> 00:17:27,880 Speaker 3: The only thing that and I'm not complaining, but I'm 256 00:17:27,920 --> 00:17:29,479 Speaker 3: just saying, but she cooks a lot. 257 00:17:30,160 --> 00:17:31,680 Speaker 4: There's just like who have quantity? 258 00:17:31,960 --> 00:17:42,560 Speaker 3: Yeah, quantity like just too much? And did she some 259 00:17:43,080 --> 00:17:47,440 Speaker 3: days like if I have a business lunch, I tend 260 00:17:47,480 --> 00:17:50,840 Speaker 3: to come home and I'm not very hungry. So now 261 00:17:50,840 --> 00:17:53,760 Speaker 3: I come home and I've got you know, pork chops 262 00:17:53,800 --> 00:17:57,000 Speaker 3: and vegetables and scallop potatoes and you know, a whole 263 00:17:57,000 --> 00:18:01,080 Speaker 3: big plate, and I have to pick up it and 264 00:18:01,160 --> 00:18:03,479 Speaker 3: kind of move it around like a kid, and you know, 265 00:18:03,680 --> 00:18:07,240 Speaker 3: and then try to sneak it over into the trash. 266 00:18:07,400 --> 00:18:10,280 Speaker 2: You know, there's a there's a to describe how Missus 267 00:18:10,320 --> 00:18:13,040 Speaker 2: Redbeard's cooks. There's a Rodney Dangerfield joke, and I'm sure 268 00:18:13,040 --> 00:18:15,320 Speaker 2: I'm going to bastardize it, but my wife's. 269 00:18:15,040 --> 00:18:15,680 Speaker 4: A terrible cook. 270 00:18:15,920 --> 00:18:18,800 Speaker 2: I didn't know toast didn't I wasn't supposed to have bones, 271 00:18:20,480 --> 00:18:22,639 Speaker 2: there was something long. I totally bastardized the joke. But 272 00:18:22,680 --> 00:18:24,200 Speaker 2: that's just. 273 00:18:24,119 --> 00:18:26,200 Speaker 3: Makes me think of Rodney Dangerfield. So I just laugh. 274 00:18:26,280 --> 00:18:28,359 Speaker 2: And she she owns up to it. It's like, you know, 275 00:18:28,440 --> 00:18:31,640 Speaker 2: anytime she tries to make toast, you know, something terribly 276 00:18:31,800 --> 00:18:32,440 Speaker 2: could go wrong. 277 00:18:32,920 --> 00:18:36,440 Speaker 3: Now Missus Redbeard works full time also correct Yeah, yeah, 278 00:18:36,720 --> 00:18:40,480 Speaker 3: whereas you may have a full time job, but you 279 00:18:40,560 --> 00:18:41,960 Speaker 3: don't work full time. 280 00:18:42,040 --> 00:18:45,240 Speaker 2: Oh yeah, of course, yeah, yeah right, and you cook 281 00:18:45,640 --> 00:18:50,160 Speaker 2: and she makes probably just more than twice what I do. 282 00:18:50,280 --> 00:18:52,840 Speaker 2: So I'm happy to be the house husband, do the 283 00:18:52,920 --> 00:18:54,840 Speaker 2: laundry and the cleaning, and do the cooking. Yeah, I've 284 00:18:54,880 --> 00:18:55,639 Speaker 2: got no problem with that. 285 00:18:56,080 --> 00:18:59,120 Speaker 3: I used to cook a lot, and then I think 286 00:18:59,359 --> 00:19:02,520 Speaker 3: it was I used to cook all the time, and 287 00:19:02,600 --> 00:19:06,240 Speaker 3: then the DC stint that just went away. Yeah, when 288 00:19:06,320 --> 00:19:08,679 Speaker 3: I was there half the time by myself, and the 289 00:19:08,720 --> 00:19:11,240 Speaker 3: other halftime, even when Tamara was living there, it was 290 00:19:11,280 --> 00:19:12,879 Speaker 3: just too busy. I mean, I was just too busy 291 00:19:12,920 --> 00:19:16,080 Speaker 3: to cook. Yeah, and I just didn't have time to 292 00:19:16,119 --> 00:19:20,760 Speaker 3: cook at all anyway. So even and she had a 293 00:19:20,800 --> 00:19:23,760 Speaker 3: hard time with that when she was there, because it 294 00:19:23,800 --> 00:19:27,120 Speaker 3: wasn't like we could have a fairly regular dinner time 295 00:19:27,200 --> 00:19:29,720 Speaker 3: because I never knew when I was coming home missus. 296 00:19:29,800 --> 00:19:34,720 Speaker 2: Raypert just texted me, she said, what does cook mean me? 297 00:19:37,320 --> 00:19:39,480 Speaker 3: It's the guy in the kitchen at the restaurant that's 298 00:19:39,760 --> 00:19:42,360 Speaker 3: getting the Chick fil a ready, That's who it is. 299 00:19:43,680 --> 00:19:46,959 Speaker 3: So yeah, I'm not complaining about I don't want to say, 300 00:19:47,040 --> 00:19:48,760 Speaker 3: like we go out to dinner every night. It's just 301 00:19:48,800 --> 00:19:50,720 Speaker 3: that whenever we do go out to dinner, like we 302 00:19:50,800 --> 00:19:55,000 Speaker 3: happened to last night, because of the circumstances, it's just this, 303 00:19:56,520 --> 00:19:58,760 Speaker 3: just tell me what you want to eat because I 304 00:19:58,880 --> 00:20:04,280 Speaker 3: don't care. Because and again because I think if we 305 00:20:04,359 --> 00:20:08,480 Speaker 3: lived closer to Denver, where there's so many more choices, 306 00:20:09,119 --> 00:20:11,080 Speaker 3: it might be a little more complicated. But it's like, 307 00:20:11,640 --> 00:20:14,320 Speaker 3: we don't want to drive more than ten or fifteen 308 00:20:14,320 --> 00:20:17,280 Speaker 3: minutes to go to dinner. If that, and so then 309 00:20:17,320 --> 00:20:21,440 Speaker 3: it becomes this whole thing of it's the cuisine. It's 310 00:20:21,480 --> 00:20:24,879 Speaker 3: not necessarily the place because you know, well there's like 311 00:20:25,080 --> 00:20:29,760 Speaker 3: fifteen different Mexican places, there's two or three steak places, 312 00:20:30,240 --> 00:20:34,960 Speaker 3: there's you know, a bazillion Hamburger places. How I usually 313 00:20:34,960 --> 00:20:37,680 Speaker 3: get her to finally answer is when I can't get 314 00:20:37,680 --> 00:20:42,359 Speaker 3: an answer, Okay, we're going to McDonald's. That shuts it down. 315 00:20:42,440 --> 00:20:45,160 Speaker 3: Now I want to go here. That will get an answer. 316 00:20:45,240 --> 00:20:47,000 Speaker 4: You just start driving, let the car take you. 317 00:20:47,440 --> 00:20:49,520 Speaker 2: And we did see a couple of text messes coming 318 00:20:49,520 --> 00:20:50,719 Speaker 2: about the Chick fil a fries. 319 00:20:50,920 --> 00:20:51,879 Speaker 3: Oh I haven't seen it yet. 320 00:20:51,920 --> 00:20:55,800 Speaker 2: Well, yes, more than multiple people have said that they 321 00:20:55,880 --> 00:21:01,640 Speaker 2: must have changed the recipe, even Yeah, that that something. 322 00:21:01,359 --> 00:21:05,119 Speaker 4: Is Exquishian's good crispy anymore. 323 00:21:05,600 --> 00:21:09,000 Speaker 3: That's what made them great, Right, I want Crispy French fry. 324 00:21:10,400 --> 00:21:11,680 Speaker 3: Do you know how to get you know, the hack 325 00:21:11,720 --> 00:21:17,399 Speaker 3: to get crispy French fries at McDonald's request, No salt, Oh, 326 00:21:17,800 --> 00:21:19,320 Speaker 3: because then they have to cook a fresh bag. 327 00:21:19,560 --> 00:21:21,800 Speaker 4: Yeah. Yeah. 328 00:21:21,880 --> 00:21:24,919 Speaker 3: There was a recent article in the Guardian. This is 329 00:21:24,960 --> 00:21:27,240 Speaker 3: the story I've been planning to do, but I was 330 00:21:27,280 --> 00:21:29,680 Speaker 3: actually gonna wait till the end of October. But I'm 331 00:21:29,720 --> 00:21:32,080 Speaker 3: tired of waiting. And when you look at the forecast, 332 00:21:32,440 --> 00:21:34,679 Speaker 3: it doesn't look like we're gonna have between now and 333 00:21:34,680 --> 00:21:36,920 Speaker 3: the end the hurricane season. It doesn't look like we're 334 00:21:36,920 --> 00:21:39,199 Speaker 3: gonna have thirty hurricanes every day, you know, for the 335 00:21:39,240 --> 00:21:42,359 Speaker 3: next or for forty five hurricanes for the next forty 336 00:21:42,359 --> 00:21:47,159 Speaker 3: five days. It's just not going to happen. But this 337 00:21:47,320 --> 00:21:49,840 Speaker 3: was supposed to be one of the most active hurricane 338 00:21:49,920 --> 00:21:55,639 Speaker 3: seasons ever. Well. What prompted this was an article in 339 00:21:55,680 --> 00:22:02,480 Speaker 3: the Guardian Humanitarian visa must be created for Pacific Islanders 340 00:22:02,520 --> 00:22:08,240 Speaker 3: displaced by climate crisis. Experts say, so, here we go again, 341 00:22:08,840 --> 00:22:15,480 Speaker 3: another alarmist narrative, and this one is I'm gonna do 342 00:22:15,560 --> 00:22:19,240 Speaker 3: the sea level rise. We'll do the hurricane stuff next 343 00:22:20,720 --> 00:22:28,400 Speaker 3: is rising sea levels. Really, they're not swallowing these low 344 00:22:28,520 --> 00:22:33,880 Speaker 3: lying island nations tavalou kirbt no. And they're not forcing 345 00:22:33,920 --> 00:22:38,159 Speaker 3: my mass migration and requiring new humanitarian visas for climate 346 00:22:38,200 --> 00:22:41,840 Speaker 3: refugees to relocate to Western countries. But that's exactly what 347 00:22:41,880 --> 00:22:48,280 Speaker 3: they're pushing. The headline is hilarious. I mean, humanitarian visas 348 00:22:48,760 --> 00:22:52,000 Speaker 3: must be created for these Pacific islanders that are being 349 00:22:52,040 --> 00:22:57,399 Speaker 3: displaced by climate crisis, experts say. The subheading calls for 350 00:22:57,880 --> 00:23:01,760 Speaker 3: reform to allow people off the Pacific threatened by climate 351 00:23:01,840 --> 00:23:08,840 Speaker 3: crisis to more easily migrate, particularly to New Zealand. Huh. Now, 352 00:23:08,920 --> 00:23:12,160 Speaker 3: if I recall my geography correctly, I may be wrong 353 00:23:12,200 --> 00:23:17,760 Speaker 3: about this, but New Zealand is an island, just like 354 00:23:17,880 --> 00:23:22,640 Speaker 3: the Pacific islander. Islands are islands. So if the climate 355 00:23:22,720 --> 00:23:27,920 Speaker 3: crisis is displacing people on these small, tiny, little island nations, 356 00:23:28,920 --> 00:23:33,320 Speaker 3: isn't the same thing happening to New Zealand. Now this 357 00:23:33,520 --> 00:23:39,440 Speaker 3: article argues for international funding billions from of course, the 358 00:23:39,560 --> 00:23:43,719 Speaker 3: United States. They all want us to support this exodus, 359 00:23:44,480 --> 00:23:46,880 Speaker 3: and they frame it as some sort of moral imperative 360 00:23:47,440 --> 00:23:50,720 Speaker 3: in the face of inevitable submersion because of human cause 361 00:23:50,760 --> 00:23:55,200 Speaker 3: climate change. Let's call it what it is. It's really 362 00:23:55,240 --> 00:23:57,800 Speaker 3: just another attempt to try to get money from us 363 00:23:58,280 --> 00:24:01,560 Speaker 3: under the guise of a crisis that doesn't even actually exist. 364 00:24:02,520 --> 00:24:05,600 Speaker 3: So all these calls for all these new visas cash flows, 365 00:24:05,760 --> 00:24:10,720 Speaker 3: it's not even based on observable data. It's rooted in 366 00:24:10,880 --> 00:24:17,920 Speaker 3: exaggerated projections, and it ignores the resilience of these atoll islands. Now, 367 00:24:17,920 --> 00:24:23,080 Speaker 3: if islands were truly disappearing, we'd see evidence in land 368 00:24:23,160 --> 00:24:29,440 Speaker 3: area loss and accelerating erosion on these island nations. Instead, 369 00:24:29,880 --> 00:24:34,520 Speaker 3: the science shows the opposite. Many are actually growing or stable. 370 00:24:34,960 --> 00:24:37,879 Speaker 3: So it's not about saving people. It's about leveraging the 371 00:24:38,000 --> 00:24:43,399 Speaker 3: fear in order to extract the resources, the money, you know, 372 00:24:43,920 --> 00:24:47,800 Speaker 3: perpetuating a cycle of dependency so that the activists and 373 00:24:47,840 --> 00:24:51,400 Speaker 3: the policymakers pat themselves on the back. They all their 374 00:24:51,400 --> 00:24:54,560 Speaker 3: friends all make money on this. The fear gets worse 375 00:24:54,640 --> 00:24:57,640 Speaker 3: and worse and worse. The poor, you know, Pacific islanders 376 00:24:57,680 --> 00:25:01,520 Speaker 3: are sitting there like, oh, we'll see, well, you don't care. 377 00:25:01,560 --> 00:25:02,960 Speaker 3: We're gonna give you a v We're gonna give you 378 00:25:03,040 --> 00:25:04,960 Speaker 3: a free visa to go to New Zealand. Well I 379 00:25:04,960 --> 00:25:06,560 Speaker 3: don't want to go to New Zealand. Well you have 380 00:25:06,600 --> 00:25:10,199 Speaker 3: to because the Allen's disappearing. Really, my house is in 381 00:25:10,240 --> 00:25:13,480 Speaker 3: the same place, the tides are the same and nothing's changed. 382 00:25:13,520 --> 00:25:24,439 Speaker 3: Why satellite sea level data shows suspicious upward adjustments and 383 00:25:24,560 --> 00:25:28,479 Speaker 3: that coincides with new mission launches. Have you heard of 384 00:25:28,600 --> 00:25:33,280 Speaker 3: something like topex Poseidon to Jason one that's ratcheting up 385 00:25:33,280 --> 00:25:36,800 Speaker 3: reported rise rates without any of the downward corrections that 386 00:25:36,840 --> 00:25:40,000 Speaker 3: are necessary. Every noticeable jump in the rate of sea 387 00:25:40,040 --> 00:25:44,840 Speaker 3: level rise aligns with the transition from one satellite to 388 00:25:44,920 --> 00:25:50,879 Speaker 3: the next. Every new satellite corrects the record upward, never downward. 389 00:25:52,119 --> 00:25:55,480 Speaker 3: When you look at again, you look at the trend lines, 390 00:25:56,920 --> 00:26:00,000 Speaker 3: and you take a trend line from nineteen ninety two 391 00:26:00,000 --> 00:26:05,520 Speaker 3: two through twenty twenty the global Means sea level seasonal signals. 392 00:26:06,640 --> 00:26:10,080 Speaker 3: Now this is when they change satellites, and the satellites 393 00:26:10,119 --> 00:26:13,320 Speaker 3: are different colors. So the blue trend line, you know, 394 00:26:13,480 --> 00:26:16,320 Speaker 3: continues upward. Then the red side new satellite comes on, 395 00:26:16,640 --> 00:26:19,080 Speaker 3: and now there's a downward trend. And then there's a 396 00:26:19,080 --> 00:26:21,400 Speaker 3: a new satellite. Now the trend goes back up. Now 397 00:26:21,400 --> 00:26:23,560 Speaker 3: you get a new satellite train goes back down lip, 398 00:26:23,720 --> 00:26:30,280 Speaker 3: but the trend line remains the same. Tide gauges, which 399 00:26:30,320 --> 00:26:36,919 Speaker 3: are probably the most reliable metric, contradicts everything. There's a 400 00:26:37,000 --> 00:26:42,479 Speaker 3: peer review study that finds no significant celeration at ninety 401 00:26:42,560 --> 00:26:47,040 Speaker 3: five percent of the sites that are gauging the tides. 402 00:26:48,040 --> 00:26:51,960 Speaker 3: In fact, that's peer review study says the authors find 403 00:26:52,000 --> 00:26:55,120 Speaker 3: that about ninety five percent of suitable tide gauge records 404 00:26:55,480 --> 00:27:00,880 Speaker 3: show no statistically significant acceleration in the rate of sea 405 00:27:00,960 --> 00:27:04,120 Speaker 3: level rise. Now, of course you got you have local 406 00:27:04,200 --> 00:27:09,320 Speaker 3: dynamics too, subsistence, you know, like subsistence that'll explain the rest, 407 00:27:09,560 --> 00:27:13,680 Speaker 3: not global warming. So why the scary headlines Because acceleration 408 00:27:13,920 --> 00:27:19,080 Speaker 3: is firmly established in the manipulated satellite curve, not in reality. 409 00:27:19,880 --> 00:27:22,040 Speaker 3: And that's how they get the fear going. 410 00:27:22,520 --> 00:27:24,720 Speaker 4: Good morning again, your favorite dreamior. 411 00:27:27,080 --> 00:27:27,439 Speaker 3: Dragon. 412 00:27:27,680 --> 00:27:29,960 Speaker 4: You're damn it. I thought it was only me. 413 00:27:30,840 --> 00:27:32,000 Speaker 3: Yeah, their fries suck. 414 00:27:32,080 --> 00:27:34,960 Speaker 4: Now I ask them for it, like make them extra crispy. Oh, 415 00:27:35,000 --> 00:27:37,000 Speaker 4: we don't do that. Well, so I don't know, there 416 00:27:37,000 --> 00:27:40,480 Speaker 4: no more. Oh hey, have a good day. 417 00:27:40,960 --> 00:27:43,120 Speaker 3: Well they wouldn't even you asked for extra. They won't 418 00:27:43,119 --> 00:27:44,720 Speaker 3: even extra crispy fries for you. 419 00:27:44,800 --> 00:27:46,960 Speaker 2: That sounds like an experiment. I may need to check 420 00:27:47,000 --> 00:27:51,320 Speaker 2: out for myself. Yeah, later today and oh three o'clock 421 00:27:51,359 --> 00:27:52,520 Speaker 2: when I get off. 422 00:27:52,800 --> 00:27:55,760 Speaker 3: So before Tamar gets in the car and heads somewhere. 423 00:27:58,320 --> 00:28:01,640 Speaker 3: I had a solution that worked most of the time 424 00:28:01,680 --> 00:28:06,400 Speaker 3: to the food issue. I've done this maybe three times, 425 00:28:06,440 --> 00:28:08,119 Speaker 3: four times, so I don't know whether I'm pushing my 426 00:28:08,200 --> 00:28:11,840 Speaker 3: luck yet or not. Uh she and she does. She 427 00:28:11,880 --> 00:28:14,480 Speaker 3: gets the point where we're gonna go eat right now. 428 00:28:14,800 --> 00:28:18,520 Speaker 3: I'm hungry, I'm gonna eat. Let's go. Where are we going? 429 00:28:19,280 --> 00:28:22,320 Speaker 3: I don't know, so I just stay. I just sit. 430 00:28:22,640 --> 00:28:23,639 Speaker 4: I don't move a muscle. 431 00:28:23,680 --> 00:28:26,640 Speaker 3: I don't move a muscle. And she has even been 432 00:28:26,680 --> 00:28:30,720 Speaker 3: at the garage door. Are you coming? No, not until 433 00:28:30,720 --> 00:28:32,920 Speaker 3: you tell me where we're going to eat. 434 00:28:33,680 --> 00:28:34,920 Speaker 4: It sounds dangerous. 435 00:28:35,080 --> 00:28:38,400 Speaker 3: It's very dangerous. It's very dangerous. But it's worked a 436 00:28:38,400 --> 00:28:40,760 Speaker 3: couple of days. It's worked maybe three, as I say, 437 00:28:40,800 --> 00:28:44,720 Speaker 3: maybe three four times. You might try that. 438 00:28:44,760 --> 00:28:49,120 Speaker 2: Sometimes, No, No, I choose life. 439 00:28:49,960 --> 00:28:53,040 Speaker 3: And then there's this from Gouvernumber fifty five sixty six. 440 00:28:53,160 --> 00:28:57,080 Speaker 3: I love this and this drives me, baddie. It's it 441 00:28:57,120 --> 00:29:00,880 Speaker 3: is someone's done a skit about this, But as a 442 00:29:00,920 --> 00:29:03,840 Speaker 3: Nebraska farm boy, I love a good steak medium rare, 443 00:29:03,960 --> 00:29:08,880 Speaker 3: of course. No sauces, of course, no, you don't. All 444 00:29:08,920 --> 00:29:11,760 Speaker 3: you need is garlic, salt and pepper on your steak, 445 00:29:12,200 --> 00:29:15,160 Speaker 3: and it needs to be rare to medium rare. Beyond 446 00:29:15,200 --> 00:29:20,200 Speaker 3: that you've run a good piece of meat. But food 447 00:29:20,320 --> 00:29:23,640 Speaker 3: is just a necessity. I have my favorites at all 448 00:29:23,680 --> 00:29:26,320 Speaker 3: the regular restaurants, and I can eat the same thing 449 00:29:26,360 --> 00:29:29,680 Speaker 3: every meal, was no problem. My brother in law drives 450 00:29:29,720 --> 00:29:32,680 Speaker 3: me nuts. He has to read the entire menu that 451 00:29:32,720 --> 00:29:35,880 Speaker 3: he's read before, then quizzes the waiter on a dozen 452 00:29:35,960 --> 00:29:39,960 Speaker 3: things before taking in another five minutes to decide. That's 453 00:29:40,080 --> 00:29:42,960 Speaker 3: like walking into the Taco Bell or walking into the 454 00:29:43,040 --> 00:29:46,400 Speaker 3: MacDonald's or the Chick fil A and you're in line 455 00:29:46,800 --> 00:29:49,280 Speaker 3: and they're just staring at the menu. It's like, come on, 456 00:29:49,360 --> 00:29:52,800 Speaker 3: it's freaking Taco Bell. They got tacos, they got tacos 457 00:29:52,800 --> 00:29:55,840 Speaker 3: and burritos. You've been in here a dozen times before, 458 00:29:55,960 --> 00:29:58,840 Speaker 3: and if you haven't, stay out of the line until 459 00:29:58,880 --> 00:30:01,280 Speaker 3: you've read the menu and then you can get them 460 00:30:01,280 --> 00:30:06,000 Speaker 3: the line. Are people in the grocery store that stop 461 00:30:06,040 --> 00:30:08,840 Speaker 3: their carts in the middle of the aisle and look, 462 00:30:09,960 --> 00:30:12,480 Speaker 3: you know, that's how they drive too, That's exactly how 463 00:30:12,480 --> 00:30:13,000 Speaker 3: they drive.