1 00:00:00,200 --> 00:00:02,920 Speaker 1: Broadcasting Life from Denver, Colorado. Hey, you've tuned into the 2 00:00:02,920 --> 00:00:04,800 Speaker 1: Weekend with Michael Brown. Glad to have you with me. 3 00:00:05,240 --> 00:00:07,200 Speaker 1: Hope you're not freezing your butts off out there. I 4 00:00:07,200 --> 00:00:09,440 Speaker 1: mean it's panic time, right, It's panic time. There's a 5 00:00:09,440 --> 00:00:12,440 Speaker 1: winter storm everywhere. Get the bread, get the milk. I've 6 00:00:12,480 --> 00:00:15,600 Speaker 1: never understood, even when I was the Intersecretary of Homeland Security, 7 00:00:15,640 --> 00:00:18,480 Speaker 1: I never really understood what's the about running to the 8 00:00:18,520 --> 00:00:24,720 Speaker 1: grocery store to get bread and milk, Bread and milk, sandwiches, uh, 9 00:00:25,200 --> 00:00:28,760 Speaker 1: French stoves. Maybe, I'm I don't know. How about some protein? 10 00:00:29,040 --> 00:00:32,199 Speaker 1: How about some eggs? You do, get some eggs, Get 11 00:00:32,280 --> 00:00:35,040 Speaker 1: get some am bacon. But eggs and milk. Eggs and 12 00:00:35,040 --> 00:00:37,879 Speaker 1: milk are got. And I do understand the water, you know, 13 00:00:37,880 --> 00:00:39,960 Speaker 1: because if you have pipes freezing, you gotta have water 14 00:00:40,000 --> 00:00:43,320 Speaker 1: and all of that. But I'm always amazed how we 15 00:00:43,440 --> 00:00:47,680 Speaker 1: are so fear driven by the cabal, you know, that 16 00:00:47,800 --> 00:00:52,199 Speaker 1: unholy alliance of the ruling elite and the tech giants 17 00:00:52,240 --> 00:00:54,960 Speaker 1: and all the you know, the dominant media. How, oh 18 00:00:55,040 --> 00:00:58,040 Speaker 1: my gosh, the sky is falling now in Colorado. Interestingly, 19 00:00:58,960 --> 00:01:04,080 Speaker 1: the sky has been fall all winter long, you know, why, 20 00:01:04,200 --> 00:01:07,520 Speaker 1: Because it's been so warm. A lot of the ski 21 00:01:07,680 --> 00:01:10,640 Speaker 1: slopes aren't open, at least they are maybe they're just 22 00:01:10,720 --> 00:01:13,640 Speaker 1: partially open, or they get a little snow and then 23 00:01:13,680 --> 00:01:15,839 Speaker 1: it melts and gets icy and crusty in the scene. 24 00:01:15,959 --> 00:01:19,559 Speaker 1: The skiing kind of sucks, and so and we aren't 25 00:01:19,560 --> 00:01:23,080 Speaker 1: in drought, and our snowpack is below normal, it's significantly 26 00:01:23,120 --> 00:01:27,240 Speaker 1: below normal. So we've been in a panic about that. 27 00:01:28,040 --> 00:01:31,080 Speaker 1: So every evening on the news, on the local news 28 00:01:31,120 --> 00:01:33,640 Speaker 1: here in Denver, it's been you know, oh my gosh. 29 00:01:33,720 --> 00:01:37,000 Speaker 1: You know, it's wonderful weather. I mean, you know, highs 30 00:01:37,000 --> 00:01:40,640 Speaker 1: in the fifties sixty sometimes and our normal high this 31 00:01:40,760 --> 00:01:42,520 Speaker 1: time of year, at least down here on the flat 32 00:01:42,600 --> 00:01:45,200 Speaker 1: lands of Denver, not up in the mountains necessarily, the 33 00:01:45,280 --> 00:01:48,720 Speaker 1: average temperature in January is something like, you know, forty 34 00:01:48,720 --> 00:01:53,760 Speaker 1: degrees or forty two degrees. Well, suddenly, and that's the panic. 35 00:01:54,600 --> 00:01:56,640 Speaker 1: Enjoy this nice weather, but you know we need to 36 00:01:56,920 --> 00:01:59,720 Speaker 1: really worry about it. Okay, well, enjoy it, but worry 37 00:01:59,720 --> 00:02:03,160 Speaker 1: about it. It's one way to live, right, enjoy something, 38 00:02:03,160 --> 00:02:06,800 Speaker 1: but worry about it the entire time. Then we get 39 00:02:06,840 --> 00:02:10,720 Speaker 1: the Arctic cold blast. Now, I got to say, I 40 00:02:10,760 --> 00:02:14,000 Speaker 1: have to give some credit, not much, but I'll give 41 00:02:14,000 --> 00:02:17,080 Speaker 1: a little credit to the dominant media, for the mainstream media, 42 00:02:17,160 --> 00:02:20,079 Speaker 1: because they haven't named this yet, like you know, they 43 00:02:20,080 --> 00:02:22,160 Speaker 1: haven't called it the polar vortex. They haven't given it 44 00:02:22,200 --> 00:02:25,079 Speaker 1: a name like you know, you know, Nancy's big ass 45 00:02:25,120 --> 00:02:27,800 Speaker 1: storm or something. We don't have anything like that yet. 46 00:02:28,000 --> 00:02:31,080 Speaker 1: But give it time, give it time. And of course, 47 00:02:31,120 --> 00:02:34,320 Speaker 1: but we do get I noticed on let me look up, Oh, 48 00:02:34,360 --> 00:02:38,079 Speaker 1: Fox News is taking it down Yesterually on Fox News 49 00:02:38,320 --> 00:02:40,360 Speaker 1: they had down in the lower left or lower right 50 00:02:40,400 --> 00:02:43,280 Speaker 1: hand corner of the screen they had a map showing 51 00:02:43,400 --> 00:02:46,720 Speaker 1: you know, the the deep blue and the light blue 52 00:02:46,760 --> 00:02:49,079 Speaker 1: and the red and all of that. So be cause 53 00:02:49,200 --> 00:02:51,680 Speaker 1: it's you know, all you gotta keep glued to the television. 54 00:02:52,360 --> 00:02:56,160 Speaker 1: Don't get me wrong. Don't get me wrong. For Peate's sake. 55 00:02:56,200 --> 00:02:58,040 Speaker 1: I live in Colorado, so I know we have blizzards, 56 00:02:58,080 --> 00:03:00,720 Speaker 1: we have ice storms, things get bad, power goes out. 57 00:03:00,760 --> 00:03:02,880 Speaker 1: I get all of that, But why do we have 58 00:03:02,960 --> 00:03:05,440 Speaker 1: to be so panicked about it all the time? Why? 59 00:03:06,440 --> 00:03:08,720 Speaker 1: And then you know, in Colorado it's been really nice 60 00:03:08,760 --> 00:03:10,799 Speaker 1: and we panic over that and then it turns cold 61 00:03:11,040 --> 00:03:12,920 Speaker 1: and now you know, it's like what was it when 62 00:03:12,919 --> 00:03:14,640 Speaker 1: I think when I came in, oh, look it's up 63 00:03:14,639 --> 00:03:18,359 Speaker 1: to fourteen degrees today. When I took the dogs walking 64 00:03:18,400 --> 00:03:21,360 Speaker 1: this morning, I was all bundled up. It was about 65 00:03:21,360 --> 00:03:24,480 Speaker 1: three degrees no wind, fortunately, so there really wasn't any 66 00:03:24,480 --> 00:03:28,680 Speaker 1: wind chill. This whole thing about weather and climate change 67 00:03:29,040 --> 00:03:31,120 Speaker 1: just dries me up the wall. And so we're going 68 00:03:31,200 --> 00:03:33,000 Speaker 1: to talk about that. But I forgot to give you 69 00:03:33,000 --> 00:03:36,240 Speaker 1: the rules of engagement because I got wound up. Well 70 00:03:36,680 --> 00:03:38,560 Speaker 1: sux to meet you. So you know that if you 71 00:03:38,600 --> 00:03:40,120 Speaker 1: want to tell me anything or ask me anything, you 72 00:03:40,160 --> 00:03:42,280 Speaker 1: can always send me a text message whenever you're listening. 73 00:03:42,560 --> 00:03:45,280 Speaker 1: Doesn't make any difference whether an affiliate delays the programmer 74 00:03:45,320 --> 00:03:48,360 Speaker 1: carries it live some other time. Are you listening on 75 00:03:48,400 --> 00:03:51,080 Speaker 1: the podcast however you might be listening. You can always 76 00:03:51,080 --> 00:03:52,960 Speaker 1: tell me anything or ask me anything by sending a 77 00:03:52,960 --> 00:03:55,800 Speaker 1: text message. The numbers three three one zero three three 78 00:03:55,880 --> 00:03:58,080 Speaker 1: three one zero three key where does Mike or Michael? 79 00:03:58,440 --> 00:04:00,320 Speaker 1: And in so far as social media is can sarned, 80 00:04:00,360 --> 00:04:04,000 Speaker 1: all of my social media accounts AX, Facebook, Instagram are 81 00:04:04,240 --> 00:04:07,720 Speaker 1: all now at Michael D. Brown at Michael D. Brown, 82 00:04:08,040 --> 00:04:10,800 Speaker 1: So go give me a follow there. So now that 83 00:04:10,880 --> 00:04:15,760 Speaker 1: we are in a uh well, I don't want to 84 00:04:15,800 --> 00:04:19,360 Speaker 1: call it a disaster, although I do understand that if 85 00:04:19,400 --> 00:04:22,320 Speaker 1: you're stuck in an ice storm and you can't get 86 00:04:22,320 --> 00:04:24,080 Speaker 1: out of your house, or you've got to get out 87 00:04:24,080 --> 00:04:29,040 Speaker 1: of your house because you're having a baby. Although now 88 00:04:29,080 --> 00:04:32,039 Speaker 1: that reminds me of Senator Josh Holly this past week 89 00:04:32,160 --> 00:04:35,359 Speaker 1: asking some doctor at a hearing on Capitol Hill whether 90 00:04:35,480 --> 00:04:39,800 Speaker 1: men can get pregnant. So I assume that anybody having 91 00:04:39,839 --> 00:04:43,560 Speaker 1: a baby during this ice storm is is probably female. 92 00:04:43,560 --> 00:04:46,240 Speaker 1: But you know, call me, call me sexist, but you know, 93 00:04:46,320 --> 00:04:48,000 Speaker 1: I kind of think that females are the ones that 94 00:04:48,080 --> 00:04:49,960 Speaker 1: have babies. But if you know you're trying to get 95 00:04:50,000 --> 00:04:52,120 Speaker 1: to the hospital because you're you're about to drop a baby, 96 00:04:52,160 --> 00:04:54,520 Speaker 1: you'll understand that that's kind of an emergency. Or you're 97 00:04:54,520 --> 00:04:56,920 Speaker 1: having an appendectomy, you have a heart attack. I don't 98 00:04:56,920 --> 00:04:59,960 Speaker 1: get me wrong, I understand all of those those individual 99 00:05:00,279 --> 00:05:05,680 Speaker 1: things going on that are disasters for individuals, but overall, 100 00:05:06,600 --> 00:05:12,279 Speaker 1: it's checks calendar. It is Saturday, January twenty four. Now 101 00:05:12,279 --> 00:05:14,880 Speaker 1: for my entire life, January, because I live in the 102 00:05:14,880 --> 00:05:20,640 Speaker 1: Northern Hemisphere, has been wintertime and it gets cold. I 103 00:05:20,800 --> 00:05:28,920 Speaker 1: just want everyone to that's right. Breathe in, breathe out. 104 00:05:30,160 --> 00:05:31,719 Speaker 1: And then I'm going to give you a little perspective. 105 00:05:32,560 --> 00:05:36,159 Speaker 1: And the perspective is, you know, for decades, this climate 106 00:05:36,240 --> 00:05:41,720 Speaker 1: crisis narrative has rested on a single emotionally powerful claim, 107 00:05:42,400 --> 00:05:45,839 Speaker 1: and that claim is simply this, the planet is warming, 108 00:05:46,480 --> 00:05:50,560 Speaker 1: and so extreme weather will become more frequent and more intense. 109 00:05:52,600 --> 00:06:01,160 Speaker 1: That claim didn't just simultaneously combust out of nowhere. There 110 00:06:01,520 --> 00:06:05,839 Speaker 1: had to be almost like, you know, somebody getting pregnant. 111 00:06:06,040 --> 00:06:08,520 Speaker 1: Two things had to happen. An egg and a sperm 112 00:06:08,600 --> 00:06:11,719 Speaker 1: had to meet. Well, guess what. That's kind of what 113 00:06:11,800 --> 00:06:16,719 Speaker 1: happened here, and it happened by it gets repeated often 114 00:06:16,839 --> 00:06:23,720 Speaker 1: verbatim by government, international institutions, scientific bodies, and of course 115 00:06:23,720 --> 00:06:26,640 Speaker 1: the major media outlets. And then every time that he 116 00:06:26,680 --> 00:06:30,520 Speaker 1: gets amplified by the major media outlets, and then because 117 00:06:30,520 --> 00:06:33,839 Speaker 1: we have that wonderful thing called social media, it gets 118 00:06:33,880 --> 00:06:38,560 Speaker 1: amplified even more. And so that becomes the mechanism by 119 00:06:38,600 --> 00:06:43,040 Speaker 1: which even modest warming, which does exist, I don't deny it. 120 00:06:43,240 --> 00:06:47,000 Speaker 1: We've had modest warming warming. I'm kind of happy about it. Well, 121 00:06:47,080 --> 00:06:49,560 Speaker 1: the weather, the kind of general climate we're having in Colorado, 122 00:06:49,640 --> 00:06:52,240 Speaker 1: now is the kind of general climate that we had 123 00:06:52,279 --> 00:06:57,600 Speaker 1: in Colorado about thirty years ago. Hmm, So extreme weather 124 00:06:58,400 --> 00:07:01,200 Speaker 1: from all this fear mongering is not a side effect. 125 00:07:01,279 --> 00:07:06,200 Speaker 1: It was the proof the side effect. The claim became 126 00:07:06,240 --> 00:07:09,320 Speaker 1: the proof. Nobody ever asked, wait a minute, you make 127 00:07:09,360 --> 00:07:14,640 Speaker 1: the claim, but where's the proof, Which is why what 128 00:07:14,720 --> 00:07:16,560 Speaker 1: I'm about to show you I can't really show you 129 00:07:16,680 --> 00:07:21,320 Speaker 1: describe for you matters so much because the data set 130 00:07:21,360 --> 00:07:26,760 Speaker 1: that the climate alarmists use until they didn't really point 131 00:07:26,840 --> 00:07:30,400 Speaker 1: something out. After twenty five years of rising emissions and 132 00:07:30,520 --> 00:07:36,360 Speaker 1: record heat, the global climate related disasters are not increasing. 133 00:07:38,840 --> 00:07:41,440 Speaker 1: When you go to the Center for Research on the 134 00:07:41,480 --> 00:07:46,360 Speaker 1: Epidemiology of Disasters located in Brussels, the database is known 135 00:07:46,400 --> 00:07:53,000 Speaker 1: as em DAT. It's the Emergency Events Database. You can 136 00:07:53,000 --> 00:07:56,720 Speaker 1: go look it up, go google it, google it, go it, 137 00:07:56,760 --> 00:08:00,480 Speaker 1: bing it, you know, whatever you do for your search engine, 138 00:08:00,680 --> 00:08:05,400 Speaker 1: brave it. However, search for the Emergency Events Database. It's 139 00:08:05,400 --> 00:08:09,400 Speaker 1: not obscures. The graph I'm looking at is used by 140 00:08:09,440 --> 00:08:14,160 Speaker 1: the United Nations, the World Meteorological Organization, all these NGOs. 141 00:08:14,160 --> 00:08:17,080 Speaker 1: It's used by insurance companies and of course by the 142 00:08:17,080 --> 00:08:21,400 Speaker 1: climate researchers and the IPCC. Adjacent studies, and for years 143 00:08:21,400 --> 00:08:25,040 Speaker 1: it's been routinely cited to argue the climate change was 144 00:08:25,080 --> 00:08:30,080 Speaker 1: already driving an increase in extreme weather. But now that 145 00:08:30,200 --> 00:08:35,600 Speaker 1: provisional twenty twenty five data is available, the argument collapses, 146 00:08:36,480 --> 00:08:40,000 Speaker 1: absolutely collapses. So I just want to give you a 147 00:08:40,040 --> 00:08:44,320 Speaker 1: little alternate perspective, to give you a little chuckle while 148 00:08:44,360 --> 00:08:47,120 Speaker 1: you remain bundled up in front of your fireplace with 149 00:08:47,160 --> 00:08:49,320 Speaker 1: your hot cocoa and the dogs sitting next to you, 150 00:08:49,640 --> 00:08:52,199 Speaker 1: and you've got, you know, cartons of milk and loaves 151 00:08:52,240 --> 00:08:54,200 Speaker 1: and loads of bread that you now bought, and you 152 00:08:54,200 --> 00:08:55,880 Speaker 1: don't know what the crap am I going to do 153 00:08:55,920 --> 00:08:58,719 Speaker 1: with this? Maybe we can find a recipe for that. 154 00:08:58,920 --> 00:09:07,240 Speaker 1: I'll be right back. Hey, welcome back to the Weekend 155 00:09:07,280 --> 00:09:08,559 Speaker 1: with Michael Brown. Glad to have you with me. I 156 00:09:08,600 --> 00:09:11,120 Speaker 1: appreciate you tuning in. Hey, do me a favorite. Go 157 00:09:11,480 --> 00:09:14,839 Speaker 1: over and subscribe to our podcast. So whatever podcast app 158 00:09:14,920 --> 00:09:18,559 Speaker 1: you use, search for this program. It's called The Situation 159 00:09:18,800 --> 00:09:22,000 Speaker 1: with Michael Brown. The Situation with Michael Brown. Once you 160 00:09:22,040 --> 00:09:24,560 Speaker 1: find that, hit that subscribe button. Of course, leave a 161 00:09:24,559 --> 00:09:26,440 Speaker 1: five star review. Not because we think it's a five 162 00:09:26,440 --> 00:09:28,920 Speaker 1: star program. We're lucky to be a We're lucky to 163 00:09:28,920 --> 00:09:31,960 Speaker 1: be a one star program. But when you give a 164 00:09:31,960 --> 00:09:36,400 Speaker 1: five star review, that helps us with whatever podcast program 165 00:09:36,440 --> 00:09:39,600 Speaker 1: you use to beat their algorithm and kind of get 166 00:09:39,720 --> 00:09:42,679 Speaker 1: us spread out more sore, And of course that helps 167 00:09:42,720 --> 00:09:44,960 Speaker 1: me with ratings and everything else. So leave a five 168 00:09:45,000 --> 00:09:48,600 Speaker 1: star review. Then here's what happens. That will automatically download 169 00:09:48,640 --> 00:09:51,880 Speaker 1: all five days of the weekday program plus the weekend program. 170 00:09:51,920 --> 00:09:53,439 Speaker 1: So you get more Michael Brown than you could ever 171 00:09:53,480 --> 00:09:58,800 Speaker 1: possibly want. So what do the what do these institutions 172 00:09:58,840 --> 00:10:04,240 Speaker 1: actually claim to understand? How there's this disconnect and how 173 00:10:04,280 --> 00:10:06,320 Speaker 1: we get led by, you know, like we got a 174 00:10:06,360 --> 00:10:10,319 Speaker 1: nosering just being led around like a bunch of numb nuts. 175 00:10:10,559 --> 00:10:16,640 Speaker 1: It's important to examine what all these authoritative institutions tell 176 00:10:16,720 --> 00:10:20,240 Speaker 1: us should be happening. For example, let me just go 177 00:10:20,320 --> 00:10:27,680 Speaker 1: through four of them. The International Panel on Climate Change 178 00:10:27,760 --> 00:10:31,840 Speaker 1: the UN group says that any future warming will increase 179 00:10:31,880 --> 00:10:37,679 Speaker 1: the occurrence of extreme weather events. NASA extreme weather are 180 00:10:37,720 --> 00:10:42,160 Speaker 1: all becoming more frequent and more intense. Noah, the National 181 00:10:42,360 --> 00:10:48,240 Speaker 1: Oceanic Atmospheric Administration Right here in Colorado, incidents of extreme 182 00:10:48,280 --> 00:10:51,760 Speaker 1: weather are projected to increase, And of course, the United 183 00:10:51,840 --> 00:10:55,120 Speaker 1: Nations itself climate change has led to an increase in 184 00:10:55,160 --> 00:11:00,320 Speaker 1: the frequency and intensity of extreme weather events. I think, 185 00:11:00,360 --> 00:11:02,880 Speaker 1: you know, even more detailed. But think about what I 186 00:11:02,960 --> 00:11:07,200 Speaker 1: just said. That's not subtle, it's not you know, it 187 00:11:07,240 --> 00:11:11,440 Speaker 1: wasn't like lawyers speak. It was straightforward. It wasn't even 188 00:11:11,480 --> 00:11:17,600 Speaker 1: like political speak. It was just clear, unadulterated language. It 189 00:11:17,679 --> 00:11:20,800 Speaker 1: is what it is. Well, I'm telling you that's the 190 00:11:20,800 --> 00:11:27,079 Speaker 1: backbone of the climate crisis messaging. But compare what is 191 00:11:27,400 --> 00:11:33,960 Speaker 1: said to what the observational data actually shows over the 192 00:11:34,040 --> 00:11:37,880 Speaker 1: last twenty five years. Yeah, I want I want you 193 00:11:37,920 --> 00:11:40,480 Speaker 1: to understand the past. Something about the past twenty five years. 194 00:11:42,480 --> 00:11:50,040 Speaker 1: Atmospheric CO two carbon dioxide a naturally occurring gas, something 195 00:11:50,080 --> 00:11:54,920 Speaker 1: that I'm exhaling into this studio as I speak, a 196 00:11:54,960 --> 00:11:59,760 Speaker 1: gas which is necessary for plant and human life to 197 00:12:00,000 --> 00:12:04,520 Speaker 1: exist on this planet. Atmospheric CO two in the past 198 00:12:04,559 --> 00:12:08,880 Speaker 1: twenty five years reached the highest levels in human history, 199 00:12:10,360 --> 00:12:16,040 Speaker 1: and global temperatures rose to claimed record highs. And of course, 200 00:12:16,320 --> 00:12:20,760 Speaker 1: the climate policies, whether it's the national policies although most 201 00:12:20,800 --> 00:12:24,199 Speaker 1: of those have been reversed by Trump, or the policies 202 00:12:24,200 --> 00:12:27,880 Speaker 1: in California, New York, Illinois, or certainly the policies in Europe, 203 00:12:27,880 --> 00:12:31,080 Speaker 1: although Euro's beginning to realize, oh, it's colder than a 204 00:12:31,080 --> 00:12:34,960 Speaker 1: well digger's butt out here, and the windmills aren't working. Yeah, 205 00:12:35,080 --> 00:12:38,640 Speaker 1: maybe those green energy problem the solutions aren't working quite 206 00:12:38,679 --> 00:12:45,320 Speaker 1: so well. But nonetheless, the climate policies, whether local, state, 207 00:12:45,520 --> 00:12:52,160 Speaker 1: or national or international, those policies grew dramatically. Well that's 208 00:12:52,240 --> 00:12:56,120 Speaker 1: kind of interesting because if CO two is reaching its 209 00:12:56,200 --> 00:13:00,160 Speaker 1: highest level and there has been an increase in global temperatures, yes, 210 00:13:00,200 --> 00:13:02,880 Speaker 1: but you know we haven't all burned to death. In fact, 211 00:13:03,040 --> 00:13:08,800 Speaker 1: growing seasons have expanded. Yet all the climate policies keep expanding, 212 00:13:10,040 --> 00:13:14,520 Speaker 1: but nothing changes, and the global climate related disaster counts 213 00:13:14,960 --> 00:13:21,280 Speaker 1: have not increased. Global related disaster counts are flat. So 214 00:13:21,440 --> 00:13:25,240 Speaker 1: in twenty twenty five, the year following the highest CO 215 00:13:25,800 --> 00:13:30,160 Speaker 1: two concentrations and some of the warmest global temperatures on record, 216 00:13:30,559 --> 00:13:32,920 Speaker 1: the total account for disasters are lower than at any 217 00:13:32,920 --> 00:13:36,360 Speaker 1: point in the past twenty five years. Now, I know 218 00:13:36,440 --> 00:13:40,040 Speaker 1: that the current data, it's kind of getting the job's numbers. 219 00:13:40,760 --> 00:13:43,920 Speaker 1: So the CO two numbers and the climate disaster numbers, 220 00:13:43,960 --> 00:13:47,600 Speaker 1: all of those are currently provisional because if you go 221 00:13:47,720 --> 00:13:52,920 Speaker 1: back to that emergency database, it has some reporting lag, 222 00:13:53,600 --> 00:13:56,640 Speaker 1: which you would always expect, particularly for events that are 223 00:13:56,679 --> 00:13:59,200 Speaker 1: laid in the calendar year. So there might be some 224 00:13:59,280 --> 00:14:01,719 Speaker 1: minor upward revisions, and you know, I'm not trying to 225 00:14:01,760 --> 00:14:04,120 Speaker 1: say that there won't be. There could be, but there 226 00:14:04,160 --> 00:14:09,080 Speaker 1: are no realistic revision transformations that can exist that would 227 00:14:09,120 --> 00:14:13,120 Speaker 1: change twenty twenty five into a record year for disasters 228 00:14:13,160 --> 00:14:16,800 Speaker 1: because the signal in the data is not subtle. The 229 00:14:16,880 --> 00:14:21,920 Speaker 1: trend does not reversed. If warming was driving an explosion 230 00:14:21,920 --> 00:14:25,160 Speaker 1: of extreme weather, then this is where it should appear 231 00:14:25,200 --> 00:14:27,280 Speaker 1: in these charts, in these numbers, and it does not. 232 00:14:28,640 --> 00:14:33,520 Speaker 1: What I find interesting is that one detail in all 233 00:14:33,520 --> 00:14:36,400 Speaker 1: of this data from twenty twenty five really ought to 234 00:14:36,440 --> 00:14:42,200 Speaker 1: pay close attention to. In the entire world. That database 235 00:14:42,520 --> 00:14:46,400 Speaker 1: recorded only one extreme temperature disaster in twenty twenty five 236 00:14:46,400 --> 00:14:50,360 Speaker 1: to one, one single one. Now I think that's amazing 237 00:14:51,200 --> 00:14:54,240 Speaker 1: because think about how often we are told that heat 238 00:14:54,240 --> 00:14:59,560 Speaker 1: waves are becoming you know, ubiquitous normal, unprecedented and increasingly 239 00:14:59,600 --> 00:15:05,120 Speaker 1: deadly everywhere. But the official data does not count warm 240 00:15:05,240 --> 00:15:10,880 Speaker 1: days or uncomfortable summers. It counts documented disaster events that 241 00:15:10,920 --> 00:15:14,880 Speaker 1: would meet a threshold for impact, displacement, or mortality. So 242 00:15:14,960 --> 00:15:20,120 Speaker 1: if heat extremes were spiraling out of control, well, that 243 00:15:20,240 --> 00:15:23,200 Speaker 1: category in the database would be surging. And it's not 244 00:15:25,480 --> 00:15:30,160 Speaker 1: almost nobody would ever argue that a slightly warmer planet 245 00:15:30,280 --> 00:15:35,400 Speaker 1: than today than we were in say, eighteen fifty, is dangerous. 246 00:15:36,400 --> 00:15:40,680 Speaker 1: In fact, the mid nineteenth century was exceptionally cold, unstable, 247 00:15:40,720 --> 00:15:45,160 Speaker 1: and unhealthy, an unhealthy period for humanity. The colder temperatures 248 00:15:45,160 --> 00:15:52,560 Speaker 1: are more dangerous. And it's kind of funny because you know, okay, 249 00:15:52,600 --> 00:15:56,520 Speaker 1: boomer here, this boomer understands. You know, when I was 250 00:15:56,560 --> 00:16:02,200 Speaker 1: in high school and college debate, one of our debate topics, 251 00:16:02,520 --> 00:16:04,880 Speaker 1: see this is how long it's been around. It's been 252 00:16:04,920 --> 00:16:08,800 Speaker 1: around for a long long time. One of our debate 253 00:16:08,840 --> 00:16:13,840 Speaker 1: topics in both high school and in college were extreme temperatures. 254 00:16:14,800 --> 00:16:17,760 Speaker 1: It was global cooling. We were going to go into 255 00:16:17,760 --> 00:16:19,840 Speaker 1: a deep freeze. We were all going to freeze to death. 256 00:16:21,000 --> 00:16:27,200 Speaker 1: And then suddenly it changed. Returning to eighteen fifty temperatures 257 00:16:28,280 --> 00:16:32,600 Speaker 1: would not improve human welfare. So this slight warming that 258 00:16:32,640 --> 00:16:37,360 Speaker 1: we've increased. We were told that was dangerous, that that 259 00:16:37,480 --> 00:16:40,480 Speaker 1: was going to kill everybody, and then when you look 260 00:16:40,520 --> 00:16:43,120 Speaker 1: at it, oh, wait a minute, what we were told 261 00:16:43,240 --> 00:16:47,960 Speaker 1: dangerous had positive feedbacks. We were told we were going 262 00:16:48,040 --> 00:16:51,160 Speaker 1: to have more frequent storms, more intense floods, worsening droughts, 263 00:16:51,280 --> 00:16:55,920 Speaker 1: escalating wildfires, expanding heat catastrophes, and extreme weather. Was the 264 00:16:55,960 --> 00:16:59,480 Speaker 1: mechanism by which the warming became a crisis, And that 265 00:16:59,560 --> 00:17:03,680 Speaker 1: mechanism doesn't show up in the data, but the narrative does. 266 00:17:04,680 --> 00:17:09,680 Speaker 1: The narrative is more persistent and more consistent than actually 267 00:17:09,720 --> 00:17:13,040 Speaker 1: either the weather or the climate is. Now, what you 268 00:17:13,160 --> 00:17:16,720 Speaker 1: know as well as I do? Why? Because we know 269 00:17:16,760 --> 00:17:20,119 Speaker 1: that once a narrative becomes institutionalized, it doesn't depend on 270 00:17:20,200 --> 00:17:23,800 Speaker 1: any observational confirmation. He really doesn't confer. It doesn't really 271 00:17:23,840 --> 00:17:26,639 Speaker 1: depend upon the data because everything's going to manipulate the data. 272 00:17:26,920 --> 00:17:30,679 Speaker 1: What it depends on is repetition. Keep repeating it and 273 00:17:30,760 --> 00:17:35,600 Speaker 1: keep framing it as a moral issue and a scary issue. Ooh, 274 00:17:35,920 --> 00:17:39,320 Speaker 1: go buy your bread and milk. I'll be right back. Now. 275 00:17:39,359 --> 00:17:43,479 Speaker 1: What you know as well as I do? Why? Because 276 00:17:43,480 --> 00:17:46,720 Speaker 1: we know that once a narrative becomes institutionalized, it doesn't 277 00:17:46,720 --> 00:17:50,320 Speaker 1: depend on any observational confirmation. He really doesn't confer. It 278 00:17:50,359 --> 00:17:52,520 Speaker 1: doesn't really depend upon the data, because everything's going to 279 00:17:52,560 --> 00:17:56,080 Speaker 1: manipulate the data. What it depends on is repetition. Keep 280 00:17:56,119 --> 00:18:00,119 Speaker 1: repeating it and keep framing it as a moral issue 281 00:18:00,440 --> 00:18:04,160 Speaker 1: and a scary issue. Oh go buy your bread and milk. 282 00:18:04,480 --> 00:18:13,119 Speaker 1: I'll be right back. Welcome back to the Weekend with 283 00:18:13,160 --> 00:18:14,920 Speaker 1: Michael Brown. Lead to have you with me. I appreciate 284 00:18:14,960 --> 00:18:17,560 Speaker 1: you tuning in. Text line is always open. The numbers 285 00:18:17,560 --> 00:18:20,120 Speaker 1: three three one zero three three three one zero three. 286 00:18:20,200 --> 00:18:26,600 Speaker 1: Keyword Mike or Michael talking about this climate disaster or 287 00:18:26,640 --> 00:18:31,639 Speaker 1: somebody said of calling a storm fern fern? Huh, where'd 288 00:18:31,640 --> 00:18:34,399 Speaker 1: that come up? I mean, what are we doing naming 289 00:18:34,400 --> 00:18:37,680 Speaker 1: winter storms? And and at what point do you decide 290 00:18:37,720 --> 00:18:39,280 Speaker 1: a winter storm is gonna get a name and one 291 00:18:39,280 --> 00:18:41,480 Speaker 1: doesn't get a name? Have you ever thought about that? 292 00:18:41,680 --> 00:18:44,600 Speaker 1: And if you have, you ever also thought about what 293 00:18:44,680 --> 00:18:47,520 Speaker 1: it tells you or subliminally is trying to get you 294 00:18:47,600 --> 00:18:52,159 Speaker 1: to do by naming a winter storm. And by the way, 295 00:18:52,200 --> 00:18:54,840 Speaker 1: why do we his name our after females? I mean, 296 00:18:54,960 --> 00:18:58,000 Speaker 1: if I were a female, which you know, let me 297 00:18:58,600 --> 00:19:00,879 Speaker 1: let me fix that, let me me identify as a 298 00:19:00,880 --> 00:19:06,080 Speaker 1: female from it identifying as a female. I find that 299 00:19:06,440 --> 00:19:12,160 Speaker 1: naming things that are disasters after females to be very 300 00:19:12,240 --> 00:19:16,720 Speaker 1: very offensive. I mean, if I'm Michelle, and you you 301 00:19:16,840 --> 00:19:19,399 Speaker 1: name a winter store Michelle, and everybody's all running to 302 00:19:19,440 --> 00:19:23,800 Speaker 1: get milk and eggs and butter and water and putting 303 00:19:23,840 --> 00:19:27,240 Speaker 1: your face masks on because we're going. We're going to 304 00:19:27,960 --> 00:19:33,239 Speaker 1: you know, all die, don't call it Michelle, because as 305 00:19:33,280 --> 00:19:38,600 Speaker 1: an identifying female, that really is what do you think 306 00:19:38,640 --> 00:19:41,440 Speaker 1: I am? Some kind of some kind of a witch 307 00:19:41,440 --> 00:19:44,000 Speaker 1: spelled with a bee? Is that what you think? M 308 00:19:45,119 --> 00:19:49,640 Speaker 1: So women rise up, let's start, you know, I want 309 00:19:49,680 --> 00:19:53,679 Speaker 1: to I want to store name Michael. Yeah, come all right, Michael. 310 00:19:54,200 --> 00:19:56,399 Speaker 1: Everybody thinks I screw things up anyways, so must well 311 00:19:56,440 --> 00:20:01,960 Speaker 1: just you know, call it Michael. Back to this data, 312 00:20:02,280 --> 00:20:06,320 Speaker 1: because after twenty five years of all these mission emissions increases, 313 00:20:06,640 --> 00:20:10,679 Speaker 1: the record heat, the disaster serge they kept telling us 314 00:20:10,680 --> 00:20:16,720 Speaker 1: about that never really materialized. It's all about a narrative. 315 00:20:17,359 --> 00:20:19,920 Speaker 1: It's all about establishing the narrative. This is true, and 316 00:20:19,960 --> 00:20:25,000 Speaker 1: almost everything in our lives, it seems, is now either well, 317 00:20:25,040 --> 00:20:32,000 Speaker 1: everything's politics, right, I mean, you can't. I had a 318 00:20:32,000 --> 00:20:35,280 Speaker 1: coworker I thought about going to this concert myself. This 319 00:20:35,320 --> 00:20:38,360 Speaker 1: has been several months ago, but I've been a fan 320 00:20:38,400 --> 00:20:42,760 Speaker 1: of Neil Young for most of my life. Now Neil 321 00:20:42,880 --> 00:20:47,520 Speaker 1: has become unhinged lately about his politics. I mean, he 322 00:20:47,600 --> 00:20:49,720 Speaker 1: was always to the left, and that's fine. I don't care. 323 00:20:50,080 --> 00:20:56,680 Speaker 1: You can actually enjoy someone's acting, singing, their artistic talents 324 00:20:57,240 --> 00:21:00,440 Speaker 1: as long as they keep that separate from their polics. 325 00:21:01,760 --> 00:21:03,320 Speaker 1: So I thought about he was going to be here 326 00:21:03,359 --> 00:21:05,639 Speaker 1: at Fiddler's Green, and I thought about buying tickets and 327 00:21:05,680 --> 00:21:07,960 Speaker 1: you know, taking my wife and going to see Neil Young. 328 00:21:08,520 --> 00:21:11,840 Speaker 1: And then, for whatever reason, I don't know, I ended 329 00:21:11,920 --> 00:21:14,320 Speaker 1: up not doing it. Well, a friend of mine went 330 00:21:15,800 --> 00:21:20,880 Speaker 1: and left after about forty five minutes because he said 331 00:21:20,880 --> 00:21:24,800 Speaker 1: it was so political that it was just essentially Neil 332 00:21:24,920 --> 00:21:30,040 Speaker 1: Young lecturing the audience and occasionally singing a few songs. 333 00:21:31,000 --> 00:21:32,919 Speaker 1: I'm thinking, well, crap, I'm glad I didn't spend the 334 00:21:33,080 --> 00:21:34,920 Speaker 1: five hundred bucks or whatever it was for a couple 335 00:21:34,960 --> 00:21:40,600 Speaker 1: of tickets to go see Neil Young. That's how these 336 00:21:40,840 --> 00:21:48,280 Speaker 1: narratives infect virtually everything, and politics is now infecting everything. 337 00:21:50,400 --> 00:21:56,359 Speaker 1: And then the narrative becomes institutionalized. And because it becomes institutionalized, 338 00:21:56,440 --> 00:21:58,600 Speaker 1: then everybody thinks, well, now we don't have to look 339 00:21:58,640 --> 00:22:01,000 Speaker 1: at the data. We don't have to look at the stats. 340 00:22:01,160 --> 00:22:04,840 Speaker 1: We don't have to look at reality, because the narrative 341 00:22:04,880 --> 00:22:09,040 Speaker 1: becomes the reality, whether it's true or not. So when 342 00:22:09,160 --> 00:22:15,080 Speaker 1: when this database, when this very good official database appeared 343 00:22:15,119 --> 00:22:19,440 Speaker 1: to you know, you can manipulate the data. In fact, 344 00:22:19,560 --> 00:22:21,359 Speaker 1: let me just give you a hint. This this is 345 00:22:21,359 --> 00:22:23,600 Speaker 1: what we in the business. This is what we call 346 00:22:23,680 --> 00:22:27,040 Speaker 1: a tease. In the next hour, we're gonna go to 347 00:22:27,040 --> 00:22:29,439 Speaker 1: the CBS News. Now, those of you who listened to 348 00:22:29,440 --> 00:22:32,080 Speaker 1: me locally in Denver have already heard this story. But 349 00:22:32,760 --> 00:22:36,320 Speaker 1: I'm going to use CBS News that took one story 350 00:22:36,320 --> 00:22:41,040 Speaker 1: that I just completely dissected apart, and they've propagated that 351 00:22:41,520 --> 00:22:44,840 Speaker 1: throughout all of their different shows, you know, the Morning 352 00:22:44,880 --> 00:22:47,400 Speaker 1: Show and the CBS Evening News, and you know they're 353 00:22:47,440 --> 00:22:51,679 Speaker 1: cabled out what they have everything, and they keep repeating 354 00:22:51,680 --> 00:22:53,800 Speaker 1: it because they want to establish a narrative among their 355 00:22:53,840 --> 00:22:56,679 Speaker 1: audience about something going on in Minnesota that is simply 356 00:22:56,800 --> 00:22:59,080 Speaker 1: is not true. And we're gonna we're gonna break that down. 357 00:23:00,119 --> 00:23:02,720 Speaker 1: I'm breaking this down. My point is, these narratives get 358 00:23:02,800 --> 00:23:08,680 Speaker 1: established and may exist everywhere. But here's the problem. It's 359 00:23:08,680 --> 00:23:12,240 Speaker 1: called the smoking gun problem because after twenty five years 360 00:23:12,280 --> 00:23:16,280 Speaker 1: of emissions increasing in record heat. The disaster serge that 361 00:23:16,359 --> 00:23:22,879 Speaker 1: was going to justify this global emergency. Where is it? 362 00:23:22,359 --> 00:23:26,720 Speaker 1: It's nowhere to be found. Now we know the weather happened. 363 00:23:26,720 --> 00:23:30,359 Speaker 1: The weather's happening right now wherever you're listening to me. 364 00:23:30,400 --> 00:23:33,640 Speaker 1: If you're in the middle of Fern, by the way, 365 00:23:34,400 --> 00:23:37,639 Speaker 1: Fern doesn't like you being sitting on her lap. Fern 366 00:23:37,680 --> 00:23:41,840 Speaker 1: doesn't like you being around her. Leave Fern alone. If 367 00:23:41,880 --> 00:23:44,880 Speaker 1: you're in the middle of Fern, I understand that. Yes, 368 00:23:45,840 --> 00:23:49,920 Speaker 1: it's There was somebody reporting from Tulsa this morning and 369 00:23:50,000 --> 00:23:53,040 Speaker 1: it was eight degrees and they're expected to get you know, 370 00:23:53,080 --> 00:23:54,880 Speaker 1: I don't whether it was rain or snow or ice 371 00:23:54,960 --> 00:23:57,159 Speaker 1: or what, but they were saying that there was going 372 00:23:57,200 --> 00:24:00,680 Speaker 1: to be more than Tulsa gets in a year. Okay, well, 373 00:24:00,760 --> 00:24:06,560 Speaker 1: sometimes that happens. That's it's called the weather. My point is, 374 00:24:07,960 --> 00:24:12,880 Speaker 1: weather happens and the climate changes, and it doesn't mean 375 00:24:12,920 --> 00:24:18,200 Speaker 1: that adaptation isn't necessary. You know, growing up in Tornado Alley, 376 00:24:18,359 --> 00:24:21,240 Speaker 1: I know that tornadoes are very very random. It can 377 00:24:21,280 --> 00:24:23,720 Speaker 1: destroy one house and the house next to it is fine, 378 00:24:23,840 --> 00:24:26,560 Speaker 1: just like a hurricane. For that matter of flood, depending 379 00:24:26,560 --> 00:24:30,320 Speaker 1: on where the flood is. We should learn to mitigate 380 00:24:30,320 --> 00:24:36,119 Speaker 1: against Mother Nature. All of our forefathers, did you know, 381 00:24:36,680 --> 00:24:40,679 Speaker 1: all of all the Indians did, all the Neanderthals did. 382 00:24:41,200 --> 00:24:43,760 Speaker 1: Oh crap, it's hitting gold. Maybe you know, let's figure out, 383 00:24:43,920 --> 00:24:48,520 Speaker 1: let's invent something called fire. But it doesn't mean that 384 00:24:48,560 --> 00:24:51,879 Speaker 1: the climate stops changing. The climate's always changing. It always will. 385 00:24:52,520 --> 00:24:56,240 Speaker 1: What it really means is this, the crisis narrative is 386 00:24:56,280 --> 00:25:02,040 Speaker 1: failing its very own empirical examination. And when that happens, 387 00:25:02,800 --> 00:25:06,080 Speaker 1: then we shouldn't double down on the narrative. We also 388 00:25:06,119 --> 00:25:08,960 Speaker 1: actually reassess and say and be willing to say we 389 00:25:08,960 --> 00:25:13,560 Speaker 1: were wrong. Of course, politicians and people who are vested 390 00:25:13,560 --> 00:25:16,280 Speaker 1: in a narrative, who are vested in the grift that 391 00:25:16,400 --> 00:25:18,960 Speaker 1: is climate change, are never going to admit that they're wrong. 392 00:25:20,640 --> 00:25:25,359 Speaker 1: If if extreme weather's not increasing, then the justification for 393 00:25:25,480 --> 00:25:29,680 Speaker 1: some sort of permanent emergency politics just collapses on itself. 394 00:25:31,119 --> 00:25:34,359 Speaker 1: So what was fueling all of this fear? The fear? 395 00:25:35,520 --> 00:25:38,840 Speaker 1: And as I try to get you, oh, I just 396 00:25:38,840 --> 00:25:46,919 Speaker 1: wish I could just get everybody to do this actively listen, active, 397 00:25:47,080 --> 00:25:50,919 Speaker 1: learn to actively listen to And I don't care, I 398 00:25:50,920 --> 00:25:53,760 Speaker 1: really don't give a rats. Ask whether it's Fox News, 399 00:25:54,200 --> 00:25:57,280 Speaker 1: if that's your go to or it's CNN or MSNBC, 400 00:25:57,440 --> 00:26:02,159 Speaker 1: or it's the Networks or it's the Daily Beast. I 401 00:26:02,200 --> 00:26:06,040 Speaker 1: don't care. What I want people to do is to 402 00:26:06,359 --> 00:26:11,359 Speaker 1: actively listen or if you're reading, and actively listening is 403 00:26:11,440 --> 00:26:16,639 Speaker 1: the same thing in my mind as critically analyzing whether 404 00:26:16,680 --> 00:26:21,720 Speaker 1: you're reading or listening, to critically think about it, always 405 00:26:21,760 --> 00:26:24,480 Speaker 1: be asking yourself the five w's, who, where, when, and why? 406 00:26:25,680 --> 00:26:29,760 Speaker 1: And when you do that, you'll suddenly find yourself actually questioning, 407 00:26:30,200 --> 00:26:33,240 Speaker 1: including me. You should do the same thing with me. 408 00:26:33,760 --> 00:26:35,760 Speaker 1: If you don't believe me, you ought to go challenge me. 409 00:26:36,560 --> 00:26:38,600 Speaker 1: That's why I always you know, when somebody when somebody 410 00:26:38,640 --> 00:26:42,440 Speaker 1: points out the text line that now I don't care about, 411 00:26:42,560 --> 00:26:48,080 Speaker 1: you know, mispronouncing a word or or using the wrong 412 00:26:48,200 --> 00:26:51,240 Speaker 1: verb or something like that, because when you're when you're talking, 413 00:26:51,880 --> 00:26:54,400 Speaker 1: you know, three hours a day for six days a week, 414 00:26:54,440 --> 00:26:57,640 Speaker 1: you're going to screw up places. And so I get that. 415 00:26:58,680 --> 00:27:02,640 Speaker 1: But when someone says that, actually what you said was incorrect, 416 00:27:03,560 --> 00:27:06,399 Speaker 1: then that really causes me to stop, Oh, seriously, did 417 00:27:06,440 --> 00:27:09,359 Speaker 1: I say something? I really say something in actually incorrect. 418 00:27:09,640 --> 00:27:11,520 Speaker 1: I like to go research that and find it out 419 00:27:11,800 --> 00:27:14,359 Speaker 1: because it might actually change my way of thinking about something. 420 00:27:15,440 --> 00:27:18,160 Speaker 1: I just wish, not that I'm perfect, but I wish 421 00:27:18,200 --> 00:27:21,919 Speaker 1: everybody would act like that. Critical thinking, critical reasoning, and 422 00:27:22,000 --> 00:27:25,960 Speaker 1: actively listening to what people are telling you. Do you 423 00:27:27,160 --> 00:27:30,400 Speaker 1: try tried it in a corporate meeting sometime. Go into 424 00:27:30,400 --> 00:27:33,560 Speaker 1: any story of any business meeting. Go into a business meeting. 425 00:27:33,800 --> 00:27:36,320 Speaker 1: You'll pull your hair out. But go into a business 426 00:27:36,320 --> 00:27:41,159 Speaker 1: meeting and listen to all of the verbiage about you know, 427 00:27:41,240 --> 00:27:45,240 Speaker 1: all the keywords. Who was I I was reading an 428 00:27:45,280 --> 00:27:50,760 Speaker 1: interview from I forget who it was. But the interview 429 00:27:51,160 --> 00:27:54,639 Speaker 1: was a radio not not a personality, not an on 430 00:27:54,720 --> 00:27:58,640 Speaker 1: air personality, but a radio mucketing muck, you know, one 431 00:27:58,640 --> 00:28:01,800 Speaker 1: of one of the managers, uh, program director of EP 432 00:28:02,000 --> 00:28:04,640 Speaker 1: or something. And I got a kick out of one 433 00:28:04,680 --> 00:28:08,920 Speaker 1: paragraph was every buzzword you could possibly imagine, And I thought, 434 00:28:08,960 --> 00:28:11,119 Speaker 1: oh my gosh, can you imagine sitting in that meeting 435 00:28:11,720 --> 00:28:15,400 Speaker 1: and all those buzzwords being used, Because if you're critically listening, 436 00:28:15,920 --> 00:28:20,240 Speaker 1: you would realize that blah blah blah blah blah blah, 437 00:28:20,280 --> 00:28:22,600 Speaker 1: and then there, oh, there might be a little nugget 438 00:28:22,600 --> 00:28:25,040 Speaker 1: of something there, you you know, blah blah blah blah 439 00:28:25,040 --> 00:28:27,560 Speaker 1: blah blah, and then there's one thing that you need 440 00:28:27,600 --> 00:28:29,639 Speaker 1: to pay attention to that you really ought to do 441 00:28:29,760 --> 00:28:32,000 Speaker 1: because you know it's whatever corporate wants you to do. 442 00:28:34,600 --> 00:28:41,760 Speaker 1: Actively listening, always critically, thinking, critically listening, always asking the 443 00:28:42,160 --> 00:28:46,280 Speaker 1: reverend and why, And you'll suddenly realize that we are 444 00:28:46,400 --> 00:28:50,360 Speaker 1: living in in the so called information age, and in 445 00:28:50,440 --> 00:28:52,800 Speaker 1: the information age, you've got to be even more of 446 00:28:52,840 --> 00:28:55,560 Speaker 1: a critical thinker when it comes to things like this 447 00:28:56,200 --> 00:29:00,640 Speaker 1: actional emergency that we're facing right now. So before you 448 00:29:00,640 --> 00:29:03,080 Speaker 1: get run off to the grocery store, and I'm not 449 00:29:03,120 --> 00:29:05,960 Speaker 1: saying you shouldn't, because if you are going to be 450 00:29:05,960 --> 00:29:08,560 Speaker 1: stuck in your house for you know, twenty four or 451 00:29:08,560 --> 00:29:11,120 Speaker 1: forty eight, seventy two hours, then you ought to make 452 00:29:11,120 --> 00:29:14,320 Speaker 1: sure you really do have something to eat. Because I 453 00:29:14,400 --> 00:29:16,280 Speaker 1: just got a text message from a door dash guy 454 00:29:16,320 --> 00:29:19,960 Speaker 1: that says he loves the cold weather because doing door dash, 455 00:29:20,080 --> 00:29:23,440 Speaker 1: nobody wants to go out, so everybody's ordering, well, what 456 00:29:23,520 --> 00:29:26,360 Speaker 1: happens when the door dash guy can't make it there? 457 00:29:26,840 --> 00:29:28,960 Speaker 1: So you really should be able to survive on your 458 00:29:28,960 --> 00:29:32,360 Speaker 1: own for at least seventy two hours. That's the old 459 00:29:32,360 --> 00:29:35,600 Speaker 1: FEMA guy talking right there. I'm not sure what bread 460 00:29:35,640 --> 00:29:37,840 Speaker 1: and milk have to do with that. But you know, 461 00:29:38,160 --> 00:29:41,280 Speaker 1: maybe a can of porking beans, But then don't rely 462 00:29:41,400 --> 00:29:45,240 Speaker 1: on your electric can opener if the power's gone out. 463 00:29:45,000 --> 00:29:47,160 Speaker 1: Can you actually open a can of porking beans without 464 00:29:47,200 --> 00:29:58,720 Speaker 1: electric can opener? Can you? I'll be right back. Hey, 465 00:29:58,760 --> 00:30:00,640 Speaker 1: welcome back to the Weekend with Michael. Glad to have 466 00:30:00,680 --> 00:30:03,240 Speaker 1: you with me. I appreciate you tuning in. I would 467 00:30:03,280 --> 00:30:05,040 Speaker 1: remind you if you like what we do on the 468 00:30:05,040 --> 00:30:07,720 Speaker 1: weekend and you'd like to hear more of me, and 469 00:30:07,760 --> 00:30:10,520 Speaker 1: of course who wouldn't want to hear that? Right? Then 470 00:30:10,640 --> 00:30:14,720 Speaker 1: you can listen to me Monday through Friday on my 471 00:30:14,840 --> 00:30:19,200 Speaker 1: program in Denver. It airs from nine to noon Mountain Time. 472 00:30:20,120 --> 00:30:24,360 Speaker 1: So on your iHeart app search for again. You can 473 00:30:24,360 --> 00:30:30,960 Speaker 1: search by station. It's KOA and it's eight fifty AM 474 00:30:31,040 --> 00:30:33,760 Speaker 1: or ninety four to one FM. Eight fifty AM ninety 475 00:30:33,760 --> 00:30:37,880 Speaker 1: four to one FM KOA out of Denver, nine to noon, 476 00:30:37,960 --> 00:30:40,560 Speaker 1: the Situation with Michael Brown, and you can stream in 477 00:30:40,600 --> 00:30:43,240 Speaker 1: and listen to what we do during the weekday. If 478 00:30:43,280 --> 00:30:45,000 Speaker 1: you like the weekend program, I think you'd love the 479 00:30:45,040 --> 00:30:50,640 Speaker 1: week the weekday program too. You know doctor Ian Andre Roberts, 480 00:30:52,160 --> 00:30:56,120 Speaker 1: He's an illegal alien from Guyana. He just happens to 481 00:30:56,160 --> 00:30:59,840 Speaker 1: have a history of weapons related charges, and he just 482 00:31:00,120 --> 00:31:05,480 Speaker 1: happens to serve or did serve as the superintendent of 483 00:31:05,560 --> 00:31:10,880 Speaker 1: the Des Moines, Iowa Public schools system. How does that happen? 484 00:31:12,400 --> 00:31:14,280 Speaker 1: And then we had I forget it was I think 485 00:31:14,360 --> 00:31:19,600 Speaker 1: up in Maine that a recruit, or maybe I think 486 00:31:19,600 --> 00:31:21,640 Speaker 1: it was already he was already out of the academy 487 00:31:21,640 --> 00:31:26,240 Speaker 1: and actually was a cop gets arrested by Ice because 488 00:31:26,240 --> 00:31:29,040 Speaker 1: he's an illegal alien. And the police chief comes out 489 00:31:29,080 --> 00:31:32,800 Speaker 1: and he's throwing a hissy fit because Ice arrested one 490 00:31:32,800 --> 00:31:36,600 Speaker 1: of his deputies who was an illegal alien. How does 491 00:31:36,640 --> 00:31:39,960 Speaker 1: that happen? You know, here at iHeart, you get hired 492 00:31:39,960 --> 00:31:43,200 Speaker 1: at iHeart as you should. I'm not complaining about this. 493 00:31:43,640 --> 00:31:45,120 Speaker 1: You got to fiel out, you know, all the I 494 00:31:45,280 --> 00:31:48,440 Speaker 1: nine information to prove that you're a US citizen before 495 00:31:48,520 --> 00:31:51,920 Speaker 1: we'll hire you. So how does somebody get hired as 496 00:31:52,000 --> 00:31:56,080 Speaker 1: a superintendent of schools in Des Moines, Iowa if you're 497 00:31:56,120 --> 00:31:59,440 Speaker 1: an illegal alien? How do you get hired as a 498 00:31:59,600 --> 00:32:02,760 Speaker 1: cop in Cumberland, Maine if you are an illegal alien? 499 00:32:04,880 --> 00:32:06,840 Speaker 1: Because we don't care about the rule of law anymore. 500 00:32:07,760 --> 00:32:12,880 Speaker 1: If it fits our agenda. Well. This Yahoo doctor Ian 501 00:32:13,000 --> 00:32:18,840 Speaker 1: Andre Roberts pled guilty Thursday to federal charges of making 502 00:32:18,880 --> 00:32:23,160 Speaker 1: false statements to gain employment in this country and illegally 503 00:32:23,200 --> 00:32:27,200 Speaker 1: possessing a firearm. So he's here illegally. Somehow the des 504 00:32:27,280 --> 00:32:32,720 Speaker 1: Moines Public Schools doesn't do their vetting properly. Did he show? 505 00:32:32,800 --> 00:32:35,320 Speaker 1: What do he do? Did he get like some form? 506 00:32:35,760 --> 00:32:38,040 Speaker 1: Can you get a form now and print out a degree? 507 00:32:39,040 --> 00:32:44,120 Speaker 1: Hells bills? I went a PhD in bullkrapology or something. 508 00:32:45,320 --> 00:32:49,400 Speaker 1: Print me one out from Walmart. He was arrested by 509 00:32:49,560 --> 00:32:55,200 Speaker 1: US Immigration's Customs Enforcement last September after an immigration judge 510 00:32:55,240 --> 00:33:01,200 Speaker 1: issued a final deportation order in May of twenty twenty four. Hey, 511 00:33:01,400 --> 00:33:04,800 Speaker 1: des Moines school Board, I still have questions when this 512 00:33:04,880 --> 00:33:08,880 Speaker 1: first came up. When this first broke the news back 513 00:33:08,960 --> 00:33:11,880 Speaker 1: last fall, I kind of wanted to know how did 514 00:33:11,920 --> 00:33:18,480 Speaker 1: that happen? He reportedly fled in his car when the 515 00:33:18,520 --> 00:33:22,720 Speaker 1: Ice agents revealed their ID. That led to a chase 516 00:33:22,840 --> 00:33:26,360 Speaker 1: that that ended with him jumping out of his car 517 00:33:26,800 --> 00:33:31,880 Speaker 1: and hiding in the shrubs nearby. Hey des Moin, that's 518 00:33:31,880 --> 00:33:35,760 Speaker 1: your superintendent now. They eventually found him was taking into 519 00:33:35,800 --> 00:33:40,480 Speaker 1: custody with the assistance of the Iowa State Police canine unit. 520 00:33:40,800 --> 00:33:44,160 Speaker 1: They found three thousand dollars in cash. Okay, that's fine whatever, 521 00:33:44,680 --> 00:33:49,160 Speaker 1: a hunting knife, and a loaded handgun in his Des 522 00:33:49,160 --> 00:33:53,360 Speaker 1: Moines City government issued car. Now at the time of 523 00:33:53,400 --> 00:33:57,400 Speaker 1: both his deportation order and his arrest, he was serving 524 00:33:57,440 --> 00:34:00,520 Speaker 1: as the superintendent of the Des Moines Public School. He's 525 00:34:00,640 --> 00:34:04,160 Speaker 1: been in that position since July of twenty twenty three. 526 00:34:04,840 --> 00:34:08,880 Speaker 1: The school board had previously praised him for his focus 527 00:34:09,040 --> 00:34:15,040 Speaker 1: on instructional excellence, diversity, equity and inclusion, and innovation and 528 00:34:15,200 --> 00:34:22,239 Speaker 1: education hm for his excellence in diversity, equity and inclusion. 529 00:34:22,960 --> 00:34:26,279 Speaker 1: Did they hire him because he met all of the requirements? 530 00:34:26,840 --> 00:34:31,200 Speaker 1: He was an illegal alien, he was a person of color, 531 00:34:32,320 --> 00:34:38,359 Speaker 1: and he was a criminal illegally possessing a firearm. Oh 532 00:34:38,400 --> 00:34:41,080 Speaker 1: he was also a registered Democrat. Oh yeah, Oh, there 533 00:34:41,160 --> 00:34:43,560 Speaker 1: we go. So he I was gonna say it was 534 00:34:43,600 --> 00:34:46,200 Speaker 1: a trifecta. Now it was more than the try. It 535 00:34:46,239 --> 00:34:53,279 Speaker 1: was a trifecta plus. Yes, How does he does he 536 00:34:53,360 --> 00:34:56,759 Speaker 1: vote in the school board election? How did that happen? So? 537 00:34:56,840 --> 00:34:59,120 Speaker 1: The Feds charged him with making false statements to gain 538 00:34:59,160 --> 00:35:03,759 Speaker 1: employment and for being an illegal alien in possession of 539 00:35:03,760 --> 00:35:07,400 Speaker 1: a firearm. Now, according to the DOJ, he falsely claimed 540 00:35:07,480 --> 00:35:11,320 Speaker 1: US citizenship on employment paperwork back in jun of twenty 541 00:35:11,360 --> 00:35:13,720 Speaker 1: twenty three, and then on the day of his arrest, 542 00:35:14,000 --> 00:35:16,920 Speaker 1: he knowingly possessed a loaded glock PISTOLSI. He has good 543 00:35:16,920 --> 00:35:20,760 Speaker 1: taste and handguns and three additional firearms in his residence. 544 00:35:21,480 --> 00:35:26,359 Speaker 1: His criminal history now here, I want to des moines 545 00:35:26,400 --> 00:35:30,440 Speaker 1: public school system. If you're living in Iowa, if you're 546 00:35:30,440 --> 00:35:33,200 Speaker 1: listening to me anywhere in Iowa or for that matter, anywhere, 547 00:35:33,200 --> 00:35:35,280 Speaker 1: it doesn't make any difference because you got to be asking. 548 00:35:36,960 --> 00:35:40,040 Speaker 1: You gotta be asking every superintendent, may we see your papers? Please? 549 00:35:41,080 --> 00:35:44,120 Speaker 1: Can you prove that you're actually But how does listen 550 00:35:44,160 --> 00:35:50,520 Speaker 1: to this? His criminal history includes charges for narcotics, possession, forgery, 551 00:35:50,920 --> 00:35:56,960 Speaker 1: reckless driving, multiple firearm related defenses that span decades. Now 552 00:35:57,000 --> 00:36:00,719 Speaker 1: he'll be sentenced on May twenty This upcoming twenty six 553 00:36:01,000 --> 00:36:05,080 Speaker 1: he faces up to twenty years in federal prison. Can 554 00:36:05,160 --> 00:36:08,200 Speaker 1: somebody explain to this stupid old, you know, dumb white 555 00:36:08,239 --> 00:36:12,480 Speaker 1: guy boomer, how do you get past all of that 556 00:36:13,640 --> 00:36:19,520 Speaker 1: and get hired to a position of public trust? Well, 557 00:36:19,520 --> 00:36:22,360 Speaker 1: because in this country, if you're a registered Democrat, a 558 00:36:22,400 --> 00:36:25,760 Speaker 1: person of color, an illegal alien. You support diversity, equity, 559 00:36:25,800 --> 00:36:29,319 Speaker 1: and inclusion, and you meet all of these you know requirements, 560 00:36:29,640 --> 00:36:33,080 Speaker 1: then I guess the Des Moines Public School Board is 561 00:36:33,080 --> 00:36:35,160 Speaker 1: blind in one eye. All they saw was what they 562 00:36:35,200 --> 00:36:37,640 Speaker 1: want to see, and so they put a criminal in 563 00:36:37,719 --> 00:36:43,720 Speaker 1: charge of your kids. Wow. Wow, I think we're probably 564 00:36:43,760 --> 00:36:46,320 Speaker 1: in trouble. It is the weekend with Michael Brown. Text 565 00:36:46,320 --> 00:36:49,520 Speaker 1: Lines always open three three one zero three, keyword Micha 566 00:36:49,600 --> 00:36:51,399 Speaker 1: or Michael. Hang tight, I'll be right back