1 00:00:00,320 --> 00:00:02,920 Speaker 1: Michael. What I don't get is, with all the money 2 00:00:03,279 --> 00:00:06,360 Speaker 1: and all the resources that our federal government has to 3 00:00:06,480 --> 00:00:11,559 Speaker 1: do intelligence gathering and counterintelligence gathering, why is it up 4 00:00:11,600 --> 00:00:14,720 Speaker 1: to these independent journalists to find all this stuff out? 5 00:00:17,720 --> 00:00:28,319 Speaker 2: Great question. My answer is complicated. This kind of this 6 00:00:28,440 --> 00:00:30,920 Speaker 2: came up a little bit on my X feed last night. 7 00:00:31,000 --> 00:00:32,519 Speaker 2: By the way, if you're not following me on X, 8 00:00:32,600 --> 00:00:36,040 Speaker 2: you should be at Michael D. Brown, and I made 9 00:00:36,040 --> 00:00:38,519 Speaker 2: some comment to the effect I forget in response to 10 00:00:38,560 --> 00:00:41,320 Speaker 2: what doesn't make any difference? But I said, the FBI 11 00:00:41,440 --> 00:00:44,919 Speaker 2: at one time had a really good intelligence and counterintelligence division, 12 00:00:45,400 --> 00:00:47,360 Speaker 2: and I don't know why. I mean, I don't understand 13 00:00:47,400 --> 00:00:50,520 Speaker 2: why they didn't discover some of these things, or if 14 00:00:50,520 --> 00:00:55,960 Speaker 2: they did, why hasn't there been more of a pr 15 00:00:56,600 --> 00:01:00,840 Speaker 2: attempt to show what a great job they're doing. Instead 16 00:01:00,880 --> 00:01:05,880 Speaker 2: we rely upon these freelancers, these independent journalists that now appear. 17 00:01:06,080 --> 00:01:07,840 Speaker 2: You know, they've got their own YouTube, they got their 18 00:01:07,840 --> 00:01:12,160 Speaker 2: own ex accounts. They they do amazing work. 19 00:01:13,959 --> 00:01:14,279 Speaker 3: Well. 20 00:01:14,480 --> 00:01:18,240 Speaker 2: One person responded and said that I forget whether he 21 00:01:18,280 --> 00:01:21,800 Speaker 2: was a former FBI agent or he was somehow involved 22 00:01:21,800 --> 00:01:22,320 Speaker 2: in government. 23 00:01:22,520 --> 00:01:27,200 Speaker 4: I forget in what way. 24 00:01:25,319 --> 00:01:29,840 Speaker 2: But that there's still such a deep state, an administrative state, 25 00:01:30,280 --> 00:01:33,640 Speaker 2: and that Cash Betel and whoever's going to replace Bongino 26 00:01:34,280 --> 00:01:36,800 Speaker 2: are so busy still trying to clean out the riff. 27 00:01:36,640 --> 00:01:39,000 Speaker 4: Raff that they are. 28 00:01:39,200 --> 00:01:43,200 Speaker 2: You know, they are indeed being stymied at every attempt 29 00:01:43,200 --> 00:01:46,520 Speaker 2: they make. Now, having been in that exact same position, 30 00:01:47,680 --> 00:01:50,440 Speaker 2: I give some credence to that. One of the things 31 00:01:50,440 --> 00:01:52,920 Speaker 2: that fascinated me when I first showed up in d 32 00:01:53,080 --> 00:01:57,080 Speaker 2: C back in you know, January of two thousand and one. Look, 33 00:01:57,800 --> 00:02:00,880 Speaker 2: here's you're listening to a guy that literally started in 34 00:02:00,920 --> 00:02:04,840 Speaker 2: politics at the age of six. My parents were friends 35 00:02:04,600 --> 00:02:08,440 Speaker 2: of this family in Oklahoma that was very politically active, 36 00:02:09,120 --> 00:02:15,000 Speaker 2: and back in nineteen sixty two sixty four, I forget 37 00:02:15,040 --> 00:02:19,040 Speaker 2: when it was, but the chairman of this Oklahoma Republican 38 00:02:19,080 --> 00:02:21,799 Speaker 2: Party was running for governor and if elected, he would 39 00:02:21,800 --> 00:02:25,920 Speaker 2: be the first Republican governor in Oklahoma's history. And so 40 00:02:26,000 --> 00:02:28,600 Speaker 2: my parents' friends were heavily involved in it. And there 41 00:02:28,680 --> 00:02:31,120 Speaker 2: was a fund raiser in my hometown and you know, 42 00:02:31,240 --> 00:02:35,440 Speaker 2: my family, my parents were there and this guy, Henry Belman, 43 00:02:35,480 --> 00:02:39,280 Speaker 2: who became who did win the election, became Oklahoma's first 44 00:02:39,280 --> 00:02:43,119 Speaker 2: Republican governor, went on to become a US senator, came back, 45 00:02:43,200 --> 00:02:45,600 Speaker 2: ran the Health and Human Services Department for a while, 46 00:02:46,000 --> 00:02:47,840 Speaker 2: retired to a lit a bit, and ran for governor again. 47 00:02:47,919 --> 00:02:51,000 Speaker 2: Became governor again. He took a liking to me for 48 00:02:51,000 --> 00:02:54,280 Speaker 2: some reason, and I don't know how it happened. I'm 49 00:02:54,320 --> 00:02:57,400 Speaker 2: sure he asked my parents, or I'm sure my parents' friends, 50 00:02:57,440 --> 00:02:59,560 Speaker 2: who you know, we knew quite well, said, you know, 51 00:03:00,200 --> 00:03:02,200 Speaker 2: Michael around them on, you know, as you're gonna be 52 00:03:02,200 --> 00:03:04,040 Speaker 2: out here in the Panhandle once you take him around 53 00:03:04,040 --> 00:03:06,400 Speaker 2: and do some stuff, so, you know, I next thing, 54 00:03:06,440 --> 00:03:09,679 Speaker 2: I know, I'm in the back of this you know car, 55 00:03:09,760 --> 00:03:11,919 Speaker 2: I don't know what it was, no black Cadillac or something. 56 00:03:12,000 --> 00:03:14,480 Speaker 2: I don't know, going around on the you know, the 57 00:03:14,520 --> 00:03:18,959 Speaker 2: back blacktop roads, or they'll come a panhandle as Henry 58 00:03:18,960 --> 00:03:22,200 Speaker 2: would go around campaigning and I was pushing out. I 59 00:03:22,240 --> 00:03:24,080 Speaker 2: was handing out push cards. You know what a push 60 00:03:24,120 --> 00:03:28,720 Speaker 2: card is, old style campaigning. The push card might be, 61 00:03:28,919 --> 00:03:32,280 Speaker 2: you know, a rectangular shaped card or something, and one 62 00:03:32,320 --> 00:03:34,120 Speaker 2: side to be a picture of the candidate. On the 63 00:03:34,120 --> 00:03:36,240 Speaker 2: backside would be what he stands for in the issues 64 00:03:36,440 --> 00:03:39,160 Speaker 2: in a short buyover something. And my job was to 65 00:03:39,200 --> 00:03:41,720 Speaker 2: hand out those cards to people as he walked this, 66 00:03:41,960 --> 00:03:44,120 Speaker 2: you know, he would walk main street or go into 67 00:03:44,160 --> 00:03:46,080 Speaker 2: the local cafe or something. I was supposed to hand 68 00:03:46,120 --> 00:03:49,800 Speaker 2: out the cards and that's how I got no Henry 69 00:03:50,600 --> 00:03:55,440 Speaker 2: and that was that was my first intro into politics. 70 00:03:55,640 --> 00:03:58,520 Speaker 2: Very formative, obviously at that stage is a very formative 71 00:03:58,520 --> 00:04:00,920 Speaker 2: thing that they can happen to A can fell in 72 00:04:00,960 --> 00:04:05,360 Speaker 2: love with it, absolutely loved it. And the Belmon Bells 73 00:04:05,520 --> 00:04:08,480 Speaker 2: were a group of I'm sure they weren't old farts 74 00:04:08,480 --> 00:04:10,960 Speaker 2: at the time, but to me they rolled farts who 75 00:04:11,040 --> 00:04:14,360 Speaker 2: were part of his campaign entourage. And of course they 76 00:04:14,400 --> 00:04:16,720 Speaker 2: all you know, when you look at the cute boy, 77 00:04:16,800 --> 00:04:19,960 Speaker 2: woo woo woo woo oh he said, a cute little boy, he. 78 00:04:20,000 --> 00:04:20,680 Speaker 4: May have do that to you. 79 00:04:20,760 --> 00:04:23,360 Speaker 2: Draggon everybody you made anybody grabbed you by the cheeks 80 00:04:23,440 --> 00:04:24,000 Speaker 2: or squeeze them. 81 00:04:23,960 --> 00:04:25,320 Speaker 4: Tell you where the cute little kid you were? 82 00:04:25,560 --> 00:04:27,160 Speaker 2: Or did they just go, oh my god, they give 83 00:04:27,200 --> 00:04:28,840 Speaker 2: the you know, the sixth sign of the devil and 84 00:04:28,920 --> 00:04:29,560 Speaker 2: oh get away? 85 00:04:29,760 --> 00:04:32,360 Speaker 5: Which was it for you, cute little redhead with freckles? 86 00:04:32,760 --> 00:04:33,480 Speaker 5: Of course. 87 00:04:38,920 --> 00:04:39,840 Speaker 4: That went away, didn't it. 88 00:04:39,880 --> 00:04:41,479 Speaker 2: By the way, did you take missus Redbeard to britt 89 00:04:41,520 --> 00:04:43,000 Speaker 2: Terror dinner to dinner last night. 90 00:04:43,000 --> 00:04:47,200 Speaker 5: I did, where'd you go? Panda Express? Her choice? Her choice? 91 00:04:47,200 --> 00:04:52,160 Speaker 2: Holy Holy, she went through tall You know what? 92 00:04:52,320 --> 00:04:55,160 Speaker 4: Okay, forget everything, forget all the show prep. This is 93 00:04:55,200 --> 00:04:55,480 Speaker 4: the rest. 94 00:04:55,760 --> 00:04:58,120 Speaker 2: This is it right here. You took your wife to 95 00:04:58,279 --> 00:05:00,000 Speaker 2: Panda Express for her birth. 96 00:05:00,480 --> 00:05:03,520 Speaker 5: Yeah, it's either that or Taco Bell. 97 00:05:04,200 --> 00:05:06,520 Speaker 2: Well, I told her in the text message when I 98 00:05:06,520 --> 00:05:08,280 Speaker 2: told her Happy birthday. I feel really bad because I 99 00:05:08,279 --> 00:05:10,280 Speaker 2: didn't think it was a Taco Bell. But never did 100 00:05:10,320 --> 00:05:12,600 Speaker 2: in my life that you would take her to Pandamic. 101 00:05:12,800 --> 00:05:13,919 Speaker 5: She just wanted to. 102 00:05:14,240 --> 00:05:18,000 Speaker 6: Okay, that's great, Fine, listed several dozen places. 103 00:05:18,320 --> 00:05:20,920 Speaker 5: She's like, Panda Express? 104 00:05:22,839 --> 00:05:28,600 Speaker 4: Okay, which is you know? Was it romantic? Sure? 105 00:05:29,440 --> 00:05:29,960 Speaker 5: We took it. 106 00:05:30,000 --> 00:05:32,320 Speaker 6: We make a reservation, we went to get it, and 107 00:05:32,360 --> 00:05:33,960 Speaker 6: then we just tell them in advance. 108 00:05:33,680 --> 00:05:35,520 Speaker 4: It was her birthday so they could bring out the dessert. 109 00:05:36,279 --> 00:05:38,160 Speaker 6: I did mention birthday a few times, so I think 110 00:05:38,200 --> 00:05:39,719 Speaker 6: they threw in some extra fortune cookies. 111 00:05:39,880 --> 00:05:43,000 Speaker 4: Oh okay, so you got four fortune cookies intead of two? Yeah? 112 00:05:44,360 --> 00:05:46,200 Speaker 4: Were the fortunes any good? I don't even read the. 113 00:05:46,120 --> 00:05:48,279 Speaker 5: Fortunes of that we read them yet? Yeah? 114 00:05:48,360 --> 00:05:50,600 Speaker 4: Yeah, I just I just eat the cookie and throw 115 00:05:50,640 --> 00:05:55,120 Speaker 4: it all the way. 116 00:05:54,880 --> 00:05:58,159 Speaker 2: I'm only laughing because I really kind of thought, you know, 117 00:05:58,200 --> 00:06:00,680 Speaker 2: you might take her to I don't know, a steak 118 00:06:00,720 --> 00:06:04,479 Speaker 2: place or right, you know, yeah, just something because I 119 00:06:04,480 --> 00:06:07,479 Speaker 2: know she likes food, and I just thought, but that 120 00:06:07,640 --> 00:06:10,880 Speaker 2: was the last thing I ever expected. Yep, you've totally 121 00:06:10,880 --> 00:06:12,480 Speaker 2: thrown me off my off my game. 122 00:06:12,480 --> 00:06:12,840 Speaker 4: Today. 123 00:06:14,600 --> 00:06:15,120 Speaker 5: You're welcome. 124 00:06:15,200 --> 00:06:17,640 Speaker 4: Do you still have like orange chicken in your beard? 125 00:06:17,720 --> 00:06:17,920 Speaker 4: Did you? 126 00:06:18,880 --> 00:06:21,200 Speaker 5: She does Beijing beef? I do a mushroom chicken? 127 00:06:21,520 --> 00:06:31,799 Speaker 4: Oh okay, all right? Uh huh. 128 00:06:31,839 --> 00:06:34,080 Speaker 2: You know, I think of the Red Beards as this 129 00:06:36,279 --> 00:06:42,080 Speaker 2: young classic couple. They love sports, they love games, they 130 00:06:42,400 --> 00:06:43,400 Speaker 2: love it does help. 131 00:06:43,480 --> 00:06:46,240 Speaker 6: We did go to an action figure store, Monkey Pot 132 00:06:46,279 --> 00:06:49,120 Speaker 6: Toys and she almost she got almost three hundred dollars 133 00:06:49,160 --> 00:06:49,800 Speaker 6: worth of toys. 134 00:06:50,520 --> 00:06:54,799 Speaker 2: So okay, so maybe Panda's Press was a good choice. 135 00:06:55,320 --> 00:06:58,200 Speaker 2: See in our household, it would have been the opposite. 136 00:06:58,240 --> 00:07:01,440 Speaker 2: It had been three hundred dollars for dinner and maybe 137 00:07:01,520 --> 00:07:04,720 Speaker 2: the nineteen ninety five that you can't express? 138 00:07:07,960 --> 00:07:08,760 Speaker 4: Did you have a cube on? 139 00:07:11,600 --> 00:07:13,400 Speaker 5: I did round up for charity though, I did. 140 00:07:13,520 --> 00:07:16,960 Speaker 2: Oh okay, good, what what's Panda Express's charity? 141 00:07:17,200 --> 00:07:17,920 Speaker 5: Children's Hospital? 142 00:07:18,200 --> 00:07:20,120 Speaker 4: So okay, well that's nice, that's nice. 143 00:07:20,240 --> 00:07:22,320 Speaker 2: So did you go over somewhere by Children's hospital or 144 00:07:22,320 --> 00:07:23,720 Speaker 2: is it back over in your area. 145 00:07:23,520 --> 00:07:24,520 Speaker 5: Somewhere that's where we are? 146 00:07:24,720 --> 00:07:27,920 Speaker 2: Okay, all right, where was the When was the last 147 00:07:28,200 --> 00:07:30,240 Speaker 2: I see? I can't get off this now, this is 148 00:07:30,280 --> 00:07:32,360 Speaker 2: how I this is how I get I'd latch onto 149 00:07:32,440 --> 00:07:33,800 Speaker 2: things I can't I can't let go. 150 00:07:36,160 --> 00:07:38,320 Speaker 4: So when was the last time you were at Panda Express? 151 00:07:38,480 --> 00:07:41,560 Speaker 6: Yeah, it's been many months, maybe many months. Okay, so 152 00:07:41,640 --> 00:07:43,720 Speaker 6: this was something unusual during three to six months? 153 00:07:43,880 --> 00:07:44,160 Speaker 4: Okay? 154 00:07:44,200 --> 00:07:46,320 Speaker 2: Yeah, And when was the decision made to go to 155 00:07:46,400 --> 00:07:48,360 Speaker 2: Panda Express? Was it last minute or was that kind 156 00:07:48,400 --> 00:07:48,680 Speaker 2: of plan? 157 00:07:49,000 --> 00:07:51,800 Speaker 5: We were driving to the Action Figure store. 158 00:07:51,880 --> 00:07:53,320 Speaker 4: Oh, I was. 159 00:07:53,240 --> 00:07:55,840 Speaker 6: Just listing off everything that I happened to see as 160 00:07:55,880 --> 00:07:58,600 Speaker 6: we were driving by, and she was finally, yeah, Panda 161 00:07:58,640 --> 00:08:01,520 Speaker 6: Express sounds really good. And she was just wanting to 162 00:08:01,520 --> 00:08:03,240 Speaker 6: stay home and order a pizza. But it's like, no, no, 163 00:08:03,280 --> 00:08:04,640 Speaker 6: we gotta go to the we gotta go to the 164 00:08:04,680 --> 00:08:06,800 Speaker 6: Action Figure stores. 165 00:08:07,240 --> 00:08:10,480 Speaker 2: Well, she was all excited about that, but then you're 166 00:08:10,560 --> 00:08:14,440 Speaker 2: just listing things and literally as you drive by, you're 167 00:08:14,480 --> 00:08:15,720 Speaker 2: listening everything that you see. 168 00:08:15,800 --> 00:08:19,080 Speaker 6: There's Chili's, there's five guys, there's you know, Panda, there's 169 00:08:19,080 --> 00:08:20,640 Speaker 6: Panda Express, there's pizza. 170 00:08:21,040 --> 00:08:22,880 Speaker 2: And was there any hesitation in the minute you said 171 00:08:22,880 --> 00:08:24,320 Speaker 2: Panda Express, like with the decision? 172 00:08:24,440 --> 00:08:27,320 Speaker 6: Well not quite, because she's like, okay, that's that. 173 00:08:27,320 --> 00:08:29,160 Speaker 5: That tops the list right now. But we'll see what 174 00:08:29,320 --> 00:08:29,920 Speaker 5: that made change. 175 00:08:30,000 --> 00:08:31,400 Speaker 4: Oh, because we select to get to the. 176 00:08:31,400 --> 00:08:33,840 Speaker 6: Store, right, and she's a woman, so her mind could 177 00:08:33,960 --> 00:08:35,120 Speaker 6: change anymore. 178 00:08:35,800 --> 00:08:38,319 Speaker 4: No comment, I plead the fifth. I'm taking the fifth 179 00:08:38,320 --> 00:08:38,800 Speaker 4: on that one. 180 00:08:39,320 --> 00:08:41,240 Speaker 2: Yes, But you know what, at least she made the 181 00:08:41,280 --> 00:08:42,600 Speaker 2: decision right exactly. 182 00:08:42,640 --> 00:08:45,760 Speaker 6: That's that's amazing, I think because she knew I wasn't 183 00:08:46,200 --> 00:08:47,360 Speaker 6: going to make it because. 184 00:08:47,160 --> 00:08:49,680 Speaker 2: The third birthdays, that's the one time she has to 185 00:08:49,720 --> 00:08:52,360 Speaker 2: be a you know, kind of tokenism here of just 186 00:08:52,400 --> 00:08:55,320 Speaker 2: making a token decision. Yeah, because from now on you 187 00:08:55,360 --> 00:08:57,719 Speaker 2: have to make the decision exactly. And whatever decision you make, 188 00:08:57,760 --> 00:09:00,360 Speaker 2: she's not gonna like you get to something she fought like, 189 00:09:00,440 --> 00:09:04,800 Speaker 2: So they they inadvert they kind of make inversely, they 190 00:09:04,840 --> 00:09:08,200 Speaker 2: make the decision. Yeah, yeah, you were doing the same 191 00:09:08,200 --> 00:09:10,280 Speaker 2: thing you normally would do, Like you wanna go out 192 00:09:10,280 --> 00:09:12,000 Speaker 2: to the eighth night, honey, sure where you didn't go? 193 00:09:12,080 --> 00:09:14,400 Speaker 2: I don't care. Do you start listening everything and then 194 00:09:14,440 --> 00:09:17,640 Speaker 2: finally they latch onto something, or you say, well, you 195 00:09:17,640 --> 00:09:19,840 Speaker 2: see what you'd like to do, Well, let's go to 196 00:09:20,000 --> 00:09:20,680 Speaker 2: you said Chili's. 197 00:09:20,720 --> 00:09:23,040 Speaker 4: Let's go to Chili's. N I want chili to night. Okay. 198 00:09:23,160 --> 00:09:24,760 Speaker 2: So now you're going through the list in your head 199 00:09:24,760 --> 00:09:26,319 Speaker 2: off everything you can possibly think of. 200 00:09:27,240 --> 00:09:31,160 Speaker 4: And you landed on Panda Express. Yep, was it? Was it? 201 00:09:32,000 --> 00:09:33,360 Speaker 4: Did you get a table by the window? 202 00:09:33,480 --> 00:09:33,680 Speaker 1: No? 203 00:09:33,679 --> 00:09:35,000 Speaker 5: No, we took it home. 204 00:09:35,080 --> 00:09:38,720 Speaker 4: So we ordered seriously, so you didn't even take her out. 205 00:09:39,240 --> 00:09:41,560 Speaker 5: I took her to the toy stor and buttter domn. 206 00:09:41,559 --> 00:09:45,160 Speaker 6: You're three hundred dollars worth of action figures, Michael Brown. 207 00:09:49,320 --> 00:09:52,360 Speaker 2: You bought it nineteen ninety five pand Express and you 208 00:09:52,400 --> 00:09:54,920 Speaker 2: took it home? Did you get a bag for your 209 00:09:55,000 --> 00:09:56,440 Speaker 2: for your syrophone containers? 210 00:09:56,440 --> 00:09:59,560 Speaker 5: We did also go to Target. Oh okay, so there's that. 211 00:10:00,120 --> 00:10:02,560 Speaker 6: Yes, we did get it back. Yeah, okay, I'm not 212 00:10:02,559 --> 00:10:04,800 Speaker 6: sure if they could probably charge us for it, I'm sure. 213 00:10:05,000 --> 00:10:09,280 Speaker 4: Yeah, probably not. I don't know. I don't know. Well, okay, 214 00:10:09,320 --> 00:10:10,760 Speaker 4: what was I talking about? 215 00:10:11,679 --> 00:10:14,240 Speaker 2: Oh yeah, the whole thing, introduction to politics and the 216 00:10:14,280 --> 00:10:16,920 Speaker 2: question about FBI and all of that. Yes, so you 217 00:10:17,440 --> 00:10:19,640 Speaker 2: got to keep up with this program. This program, This 218 00:10:19,840 --> 00:10:24,000 Speaker 2: program is like a winding mountain road. 219 00:10:24,200 --> 00:10:24,920 Speaker 3: We swit with all. 220 00:10:24,880 --> 00:10:27,040 Speaker 2: Switchbacks and everything. You got to keep your eye on 221 00:10:27,040 --> 00:10:29,080 Speaker 2: the road. You got to keep up with us because 222 00:10:29,080 --> 00:10:33,200 Speaker 2: you never know where it's going to go. Well related, 223 00:10:33,200 --> 00:10:35,800 Speaker 2: happy birthday publicly to missus Redbeard. I didn't want to 224 00:10:35,800 --> 00:10:38,360 Speaker 2: say anything on the air yesterday, but I did. And 225 00:10:38,400 --> 00:10:40,679 Speaker 2: by the way, I do have to confess I forgot 226 00:10:40,760 --> 00:10:43,600 Speaker 2: to text her after the show. I didn't text her 227 00:10:43,800 --> 00:10:46,480 Speaker 2: until it seemed like six or seven o'clock last night. 228 00:10:46,640 --> 00:10:49,000 Speaker 6: She read it to me at like eight thirty, so yeah, 229 00:10:49,080 --> 00:10:50,520 Speaker 6: I figured it was around then. I was like, oh, 230 00:10:50,600 --> 00:10:52,319 Speaker 6: Michael's still awake right now, though, old man. 231 00:10:54,520 --> 00:10:56,960 Speaker 2: Well, you know, I was awake because my son was 232 00:10:57,559 --> 00:11:00,679 Speaker 2: rumbling and rambling and making noises, and I was thinking, damn, 233 00:11:00,679 --> 00:11:03,600 Speaker 2: I could use some Panda Express right now, if I 234 00:11:03,640 --> 00:11:06,040 Speaker 2: could just have a little of the orange chicken or 235 00:11:06,040 --> 00:11:08,480 Speaker 2: whatever does their famous. I don't know what what it was, pandis. 236 00:11:08,640 --> 00:11:11,440 Speaker 2: I've been to a Pandix. I don't know when the 237 00:11:11,480 --> 00:11:14,280 Speaker 2: last Panda Express was that I went to, but I 238 00:11:14,320 --> 00:11:16,160 Speaker 2: guarantee nt it was probably in an airport. 239 00:11:17,040 --> 00:11:18,160 Speaker 5: Oh yeah, that sounds about right. 240 00:11:18,240 --> 00:11:25,920 Speaker 2: Yeah, Well, all right, so back to the talk back uh. So, 241 00:11:27,480 --> 00:11:31,080 Speaker 2: the thing that amazed me, having been involved in politics 242 00:11:31,080 --> 00:11:33,800 Speaker 2: for my entire life, as I was saying in the 243 00:11:33,840 --> 00:11:36,640 Speaker 2: age of six, is that when I got to d C, 244 00:11:37,960 --> 00:11:41,000 Speaker 2: it was truly like walking into a brick wall, or 245 00:11:41,080 --> 00:11:42,920 Speaker 2: you know, into the sliding glass door that you don't 246 00:11:42,960 --> 00:11:45,360 Speaker 2: realize is closed and you go banging into it. That's 247 00:11:45,440 --> 00:11:48,400 Speaker 2: kind of what happened to me. I was like, Bam, 248 00:11:48,960 --> 00:11:51,480 Speaker 2: what are all these Clinton people doing here? Where'd you 249 00:11:51,600 --> 00:11:54,520 Speaker 2: come from? Why are you still here? And why are 250 00:11:54,559 --> 00:12:01,120 Speaker 2: you in the front office? Because they convert them. What 251 00:12:01,160 --> 00:12:04,000 Speaker 2: they do is they take the political appointees and they 252 00:12:04,080 --> 00:12:06,559 Speaker 2: quickly at the end of the term, they will convert 253 00:12:06,640 --> 00:12:09,360 Speaker 2: them to civil servants, so that now they've got all 254 00:12:09,360 --> 00:12:13,040 Speaker 2: the civil service protections and they are it's called burrowing in, 255 00:12:13,120 --> 00:12:16,240 Speaker 2: and they burrow in and now they're there for the 256 00:12:16,280 --> 00:12:19,480 Speaker 2: rest of their lives if they want to. So one 257 00:12:19,480 --> 00:12:21,880 Speaker 2: of the things that I had to do that was 258 00:12:22,080 --> 00:12:26,680 Speaker 2: extremely time consuming and difficult was to figure out who 259 00:12:26,760 --> 00:12:32,080 Speaker 2: would truly give me the institutional history or the institutional 260 00:12:32,120 --> 00:12:36,280 Speaker 2: knowledge about the organizations so that I could understand how 261 00:12:36,320 --> 00:12:38,800 Speaker 2: and why it was functioning the way it was and 262 00:12:38,840 --> 00:12:42,000 Speaker 2: what I needed to change and so you you know, 263 00:12:42,360 --> 00:12:47,000 Speaker 2: you literally show up on January twentieth. You don't really 264 00:12:47,040 --> 00:12:49,120 Speaker 2: do anything that day because here's everything else that you 265 00:12:49,200 --> 00:12:51,440 Speaker 2: have to do. But say January twenty one, you show 266 00:12:51,520 --> 00:12:53,520 Speaker 2: up or you know, depending on what day of the 267 00:12:53,520 --> 00:12:57,480 Speaker 2: week it is, and you show up. Now you've got 268 00:12:57,720 --> 00:13:01,200 Speaker 2: the transition team that's already been in these organizations, all 269 00:13:01,240 --> 00:13:04,600 Speaker 2: these departments and agencies. So once the president is elected, 270 00:13:05,200 --> 00:13:10,320 Speaker 2: they immediately parachute, they organize. You know, even before the election, 271 00:13:11,000 --> 00:13:15,040 Speaker 2: both sides, Democrat and Republicans both start organizing transition teams. 272 00:13:15,520 --> 00:13:21,040 Speaker 2: And the transition teams there's a transition leader, and then 273 00:13:21,120 --> 00:13:24,120 Speaker 2: they reach out to policy experts that have been advising, 274 00:13:24,160 --> 00:13:27,520 Speaker 2: perhaps on the campaign trail, and they reach out to 275 00:13:27,600 --> 00:13:31,280 Speaker 2: them and they ask for references, and they get people 276 00:13:31,360 --> 00:13:35,160 Speaker 2: that are probably eventually going to serve in the administration 277 00:13:35,640 --> 00:13:39,959 Speaker 2: and they parachute them in and their job is to 278 00:13:40,000 --> 00:13:47,160 Speaker 2: build a briefing book about everything that the existing political appointees. 279 00:13:47,240 --> 00:13:51,680 Speaker 2: So let's take let's use Bush forty three is the example. 280 00:13:54,240 --> 00:13:59,480 Speaker 2: So during the campaign, Bush's campaign manager at some point 281 00:13:59,520 --> 00:14:02,040 Speaker 2: would say, we need to put together at least the 282 00:14:02,080 --> 00:14:04,839 Speaker 2: skeleton crew of a transition team in case we win 283 00:14:04,920 --> 00:14:09,200 Speaker 2: the election. So they put together these people, and those 284 00:14:09,240 --> 00:14:13,520 Speaker 2: people start doing research on all the departments and agencies. 285 00:14:14,760 --> 00:14:17,360 Speaker 2: There's even a transition head for the White House itself. 286 00:14:18,200 --> 00:14:23,080 Speaker 2: And then after the election, which is normally in November, 287 00:14:23,720 --> 00:14:28,640 Speaker 2: this one dragged onto December. You parachute those people in 288 00:14:29,520 --> 00:14:32,240 Speaker 2: and so they know there will be Depending on the 289 00:14:32,240 --> 00:14:34,960 Speaker 2: size of the department, for example, the State Department or 290 00:14:35,040 --> 00:14:38,840 Speaker 2: the Department of Commerce DLD obviously will have a transition 291 00:14:38,960 --> 00:14:41,760 Speaker 2: team leader, and they might have as many as a 292 00:14:41,880 --> 00:14:47,200 Speaker 2: dozen or more transition members of that transition team. Their 293 00:14:47,320 --> 00:14:51,320 Speaker 2: job is multifold. It is first just get the lay 294 00:14:51,320 --> 00:14:54,120 Speaker 2: of the land, and you start reaching out to both 295 00:14:54,160 --> 00:14:58,880 Speaker 2: the political appointees asking questions like what policies have you 296 00:14:58,920 --> 00:15:02,840 Speaker 2: recently implemented, what policies are you working on, what do 297 00:15:02,880 --> 00:15:05,200 Speaker 2: you from from your point of view? What works and 298 00:15:05,240 --> 00:15:07,440 Speaker 2: what doesn't work, what needs to change, what doesn't need 299 00:15:07,480 --> 00:15:09,720 Speaker 2: to change? And then you and then you go to 300 00:15:09,760 --> 00:15:13,960 Speaker 2: the career civil service service people and you start asking 301 00:15:14,040 --> 00:15:16,520 Speaker 2: these same things. Tell me about the finances, tell me 302 00:15:16,520 --> 00:15:18,480 Speaker 2: about the budget, tell me about the policy, tell me 303 00:15:18,520 --> 00:15:21,640 Speaker 2: about the different tell me about the organizational structure. And 304 00:15:22,000 --> 00:15:25,600 Speaker 2: you and you get from them. Now they know that 305 00:15:26,240 --> 00:15:30,120 Speaker 2: you're going to You're amassing a gigantic briefing book, and 306 00:15:30,200 --> 00:15:34,120 Speaker 2: so you start collecting all this information. You might reach 307 00:15:34,120 --> 00:15:38,160 Speaker 2: out to some of the partners or the constituents, or 308 00:15:38,200 --> 00:15:41,440 Speaker 2: the collaborators or whatever it might be. So like for FEMA, 309 00:15:41,480 --> 00:15:44,440 Speaker 2: you might reach out to governors and start asking governors 310 00:15:44,640 --> 00:15:47,760 Speaker 2: what you know, particularly if they if they've had recent disasters, 311 00:15:48,200 --> 00:15:50,560 Speaker 2: what's worked, what didn't work? Tell me about what you 312 00:15:50,680 --> 00:15:53,040 Speaker 2: think about FEMA, what's good, what's bad. 313 00:15:52,880 --> 00:15:54,440 Speaker 4: Blah blah blah blah. 314 00:15:54,480 --> 00:15:56,560 Speaker 2: And so then when you pay and then so then 315 00:15:56,760 --> 00:16:00,640 Speaker 2: after the election and you get your presidential mission and 316 00:16:00,680 --> 00:16:03,640 Speaker 2: you show up, your job is to sit down with 317 00:16:03,800 --> 00:16:07,360 Speaker 2: those transition members, some of whom you actually like, some 318 00:16:07,400 --> 00:16:09,680 Speaker 2: of some of them. I actually brought on this as 319 00:16:09,720 --> 00:16:11,480 Speaker 2: part of my front office staff. 320 00:16:12,640 --> 00:16:13,520 Speaker 4: And you will. 321 00:16:13,640 --> 00:16:15,880 Speaker 2: You will then look at I mean and the briefing 322 00:16:15,960 --> 00:16:19,520 Speaker 2: When I say briefing book, I actually mean briefing books plural, 323 00:16:20,080 --> 00:16:23,640 Speaker 2: And you'll start looking at those and they'll start briefing 324 00:16:23,680 --> 00:16:27,040 Speaker 2: you on all the different aspects, the organizational structure, the culture, 325 00:16:27,400 --> 00:16:30,640 Speaker 2: the policies, the current decisions that need to be made, 326 00:16:31,000 --> 00:16:33,920 Speaker 2: decisions that can be put off the whole gamut, and 327 00:16:33,960 --> 00:16:36,240 Speaker 2: then you lay you layer on top of that, what's 328 00:16:36,280 --> 00:16:39,480 Speaker 2: the President's agenda? What is the president alex agenda? And 329 00:16:39,520 --> 00:16:41,120 Speaker 2: what it is are you going to try to do 330 00:16:41,160 --> 00:16:44,680 Speaker 2: with this organization? So I show up and I have, like, 331 00:16:44,760 --> 00:16:47,200 Speaker 2: you know, ten objectives, ten goals I want to meet. 332 00:16:47,520 --> 00:16:50,440 Speaker 2: What you soon realize is ten goals is way too many, 333 00:16:51,120 --> 00:16:54,760 Speaker 2: even for a small organization like the Federal Emergency Management 334 00:16:54,840 --> 00:16:57,520 Speaker 2: Management Agency. You actually got to you know, you don't 335 00:16:57,520 --> 00:17:00,240 Speaker 2: whittle it down, but just because of the advance of 336 00:17:00,280 --> 00:17:06,440 Speaker 2: time and the thickness and the slowness and the viscosity, 337 00:17:06,440 --> 00:17:08,639 Speaker 2: if you will, of the bureaucracy, it's going to take 338 00:17:08,680 --> 00:17:11,480 Speaker 2: a long time to accomplish some of those goals. So 339 00:17:11,520 --> 00:17:13,120 Speaker 2: you have ten goals and you hope that you can 340 00:17:13,160 --> 00:17:16,159 Speaker 2: accomplish five. That's that's how bad the deep state is, 341 00:17:16,640 --> 00:17:21,400 Speaker 2: and that's how slow the bureaucracy works. So what's happening 342 00:17:21,520 --> 00:17:26,600 Speaker 2: here is Trump has come in, but he knows that 343 00:17:26,600 --> 00:17:32,080 Speaker 2: that based on his Trump one point oh experience, he's 344 00:17:32,160 --> 00:17:34,720 Speaker 2: going to do things a little differently, and he knows 345 00:17:34,760 --> 00:17:38,320 Speaker 2: that the deep state really is what prevented him from 346 00:17:38,359 --> 00:17:41,360 Speaker 2: accomplishing a lot. Although I think he accomplished a good 347 00:17:41,359 --> 00:17:44,920 Speaker 2: deal in Trump one point oh, in Trump two point oh. 348 00:17:45,040 --> 00:17:48,560 Speaker 2: He's got to try to really take a leaf. 349 00:17:48,359 --> 00:17:50,240 Speaker 4: Blower or a. 350 00:17:53,000 --> 00:17:56,960 Speaker 2: Some sort of you know, bag of T and T 351 00:17:57,240 --> 00:18:01,560 Speaker 2: or something and blow up the bureaucracy to kind of 352 00:18:01,720 --> 00:18:05,399 Speaker 2: clear out everything so that you don't have all that pushback. 353 00:18:06,440 --> 00:18:10,160 Speaker 2: That takes a lot of time, and in some place 354 00:18:10,280 --> 00:18:13,560 Speaker 2: as entrenched as the FBI or for that matter, of 355 00:18:13,560 --> 00:18:16,520 Speaker 2: the CIA, they're both in DLD any of the and 356 00:18:16,640 --> 00:18:19,320 Speaker 2: now I would put DHS Homeland Security in that same 357 00:18:19,359 --> 00:18:22,520 Speaker 2: category because it is now metastasized over the past twenty 358 00:18:22,520 --> 00:18:25,720 Speaker 2: plus years, and it is as bureaucratic as DHS or 359 00:18:25,760 --> 00:18:27,880 Speaker 2: State Department I mean as d O D or State 360 00:18:27,920 --> 00:18:30,359 Speaker 2: Department or anybody else. So you got to start clearing 361 00:18:30,359 --> 00:18:34,320 Speaker 2: all of that out, and that takes time. At the 362 00:18:34,359 --> 00:18:37,840 Speaker 2: same time that you're doing that, you're trying to actually 363 00:18:38,000 --> 00:18:41,520 Speaker 2: you know, run the FBI. You still have to you know, 364 00:18:42,200 --> 00:18:45,320 Speaker 2: stop crime, investigate crime process, you know, turn things over 365 00:18:45,359 --> 00:18:47,520 Speaker 2: to the US attorneys, work with the US atteint. You 366 00:18:47,600 --> 00:18:49,400 Speaker 2: got to do all of that. And now think about this. 367 00:18:49,760 --> 00:18:53,240 Speaker 2: The FBI develops a case, they go to the US 368 00:18:53,320 --> 00:18:58,080 Speaker 2: attorney in whatever jurisdiction is appropriate, and that US attorney. Oh, 369 00:18:58,200 --> 00:19:01,560 Speaker 2: there's not a Trump US attorne because some of these 370 00:19:01,640 --> 00:19:04,520 Speaker 2: dumb ass senators have put a blue slip on some 371 00:19:04,600 --> 00:19:06,800 Speaker 2: of the nominations and so he hasn't gotten his own 372 00:19:06,880 --> 00:19:09,399 Speaker 2: US attorneys in place, and so now you've got to 373 00:19:09,440 --> 00:19:12,120 Speaker 2: work through that person who may or may not want 374 00:19:12,119 --> 00:19:17,320 Speaker 2: to prosecute. I mean, it's it is you've ever seen 375 00:19:17,320 --> 00:19:20,400 Speaker 2: honey that has you know, you've you've storted for too 376 00:19:20,440 --> 00:19:23,640 Speaker 2: long and it just it just will not come out 377 00:19:23,680 --> 00:19:27,160 Speaker 2: of the bottle. That's you're trying to squeeze that bottle 378 00:19:27,320 --> 00:19:29,720 Speaker 2: and you're trying to get all of that stuff out 379 00:19:29,920 --> 00:19:34,720 Speaker 2: so you can get stuff done, and it just takes forever. Now, 380 00:19:34,880 --> 00:19:37,720 Speaker 2: the other problem you have with response to that talkback 381 00:19:38,200 --> 00:19:42,760 Speaker 2: is the media itself. Do you think the media is 382 00:19:42,840 --> 00:19:44,720 Speaker 2: going to help at all? Do you think do you 383 00:19:44,760 --> 00:19:47,919 Speaker 2: think the media really wants to expose the fraud in 384 00:19:48,040 --> 00:19:53,040 Speaker 2: Minnesota and have that tied to elon Omar, Tim Walls, 385 00:19:53,240 --> 00:19:56,600 Speaker 2: mayor Frey. No, they don't want that, and they've known 386 00:19:56,640 --> 00:19:59,399 Speaker 2: this for years. They've known that even back during the 387 00:19:59,480 --> 00:20:03,800 Speaker 2: Biden imstration. So you end up relying an awful lot 388 00:20:04,560 --> 00:20:08,840 Speaker 2: on freelancers and independent media to do what real journalists 389 00:20:09,000 --> 00:20:09,760 Speaker 2: should be doing. 390 00:20:10,400 --> 00:20:13,000 Speaker 6: Hey, Michael Man, I don't know what you got against 391 00:20:13,000 --> 00:20:15,840 Speaker 6: Panda Express, but where I come from, y'all pack your 392 00:20:15,840 --> 00:20:19,679 Speaker 6: old lady out there, and you're gonna go to bed early. 393 00:20:19,560 --> 00:20:21,240 Speaker 5: And you're gonna go to sleep late, if you know 394 00:20:21,280 --> 00:20:21,919 Speaker 5: what I'm saying. 395 00:20:23,760 --> 00:20:26,480 Speaker 6: Yeah, you don't sit up and bed eat Panda Express 396 00:20:26,560 --> 00:20:28,240 Speaker 6: watching old episodes. 397 00:20:27,720 --> 00:20:37,840 Speaker 3: In New harm Man, Old man, you know, the great 398 00:20:37,840 --> 00:20:41,200 Speaker 3: thing is we got such a classy audience, such a classy, 399 00:20:41,280 --> 00:20:42,360 Speaker 3: classy audience, and I. 400 00:20:42,320 --> 00:20:43,280 Speaker 4: Really appreciate that. 401 00:20:44,280 --> 00:20:46,280 Speaker 2: There was a text message that I woke up to 402 00:20:46,320 --> 00:20:51,639 Speaker 2: this morning that I thought, I'm not quite sure what 403 00:20:51,680 --> 00:20:56,480 Speaker 2: you mean. Goober Number seventy one five wrote this at 404 00:20:57,240 --> 00:20:59,520 Speaker 2: seven o four last night. I didn't see it until 405 00:20:59,520 --> 00:21:05,359 Speaker 2: this morning, Mike, and I remember something about I have 406 00:21:05,400 --> 00:21:08,119 Speaker 2: to go back and look at all the messages. But 407 00:21:08,280 --> 00:21:11,720 Speaker 2: something I think I mentioned yesterday casually that in response 408 00:21:11,760 --> 00:21:15,480 Speaker 2: to another text message from this particular goober that you 409 00:21:15,560 --> 00:21:18,480 Speaker 2: must have tuned in late. Well, now I think you've 410 00:21:18,520 --> 00:21:21,879 Speaker 2: tuned in late about a lot of things, seventy one 411 00:21:21,920 --> 00:21:24,680 Speaker 2: oh five wrote last night, Mike, you're a dumb ass 412 00:21:24,800 --> 00:21:28,000 Speaker 2: thinking that I tuned in too late. The funny thing 413 00:21:28,720 --> 00:21:32,680 Speaker 2: is that you sound like a communist when you say 414 00:21:32,720 --> 00:21:37,440 Speaker 2: that Minnesota is the same thing as Denver, or when 415 00:21:37,480 --> 00:21:40,480 Speaker 2: you say that Denver is the same thing as Highland's ranch. 416 00:21:41,359 --> 00:21:44,560 Speaker 2: You meaning me, you're the dumb ass because you don't 417 00:21:44,600 --> 00:21:48,200 Speaker 2: realize that Minnesota is not the same thing. 418 00:21:48,000 --> 00:21:49,679 Speaker 4: As Oklahoma or Colorado. 419 00:21:50,520 --> 00:21:54,040 Speaker 2: Let me take, or let them take all the somalis 420 00:21:54,119 --> 00:21:58,320 Speaker 2: that they want. The purpose of states within our Constitution 421 00:21:58,920 --> 00:22:02,119 Speaker 2: is to allow try and error. Also focus on the 422 00:22:02,160 --> 00:22:06,600 Speaker 2: fact that that F. Tart almost became our vice president. 423 00:22:08,400 --> 00:22:16,560 Speaker 2: That's an interesting text message. There are numerous times that 424 00:22:16,600 --> 00:22:19,560 Speaker 2: I've referred to kind of like Joe Biden used to, 425 00:22:19,600 --> 00:22:21,280 Speaker 2: but he didn't understand what he was talking about. 426 00:22:22,480 --> 00:22:24,040 Speaker 4: How we are the. 427 00:22:23,960 --> 00:22:28,520 Speaker 2: United States of America, and that the fifty seven states 428 00:22:28,560 --> 00:22:34,960 Speaker 2: that comprise this country indeed are the laboratories for experimentation. 429 00:22:35,800 --> 00:22:38,240 Speaker 2: In fact, in numerous issues that we've talked about in 430 00:22:38,240 --> 00:22:41,080 Speaker 2: this program, I have said that I think the appropriate thing, 431 00:22:41,119 --> 00:22:43,080 Speaker 2: for example, the Supreme Court to do or to make 432 00:22:43,080 --> 00:22:45,800 Speaker 2: a decision about, is to send it back to the 433 00:22:45,840 --> 00:22:49,240 Speaker 2: states and let the states decide that, because that's something 434 00:22:49,320 --> 00:22:52,760 Speaker 2: that the people should decide not Congress, or for that matter, 435 00:22:52,840 --> 00:22:56,879 Speaker 2: not even you know, the president. It should be a 436 00:22:57,200 --> 00:23:04,440 Speaker 2: state by state decision. So the text calls me a communism, 437 00:23:04,520 --> 00:23:08,400 Speaker 2: the dumbass, and the same message, and I find that, Wow, 438 00:23:08,440 --> 00:23:12,760 Speaker 2: that's a pretty good achievement. But let me address the 439 00:23:12,800 --> 00:23:17,879 Speaker 2: substance buried inside the insults. So the text, so seventy 440 00:23:17,880 --> 00:23:20,240 Speaker 2: one oh five says that Minnesota should be able to 441 00:23:20,280 --> 00:23:24,760 Speaker 2: take all the smollies they want because states, in my language, 442 00:23:25,080 --> 00:23:28,320 Speaker 2: are laboratories of democracy, trial and error, as we've always 443 00:23:28,359 --> 00:23:28,679 Speaker 2: put it. 444 00:23:29,240 --> 00:23:31,120 Speaker 4: That's a fair point about federalism. 445 00:23:31,720 --> 00:23:34,240 Speaker 2: And of course, as I've said numerous times over twenty 446 00:23:34,320 --> 00:23:36,919 Speaker 2: years on radio or so that I actually agree with 447 00:23:36,920 --> 00:23:42,600 Speaker 2: that principle, states should have latitude to experiment with different policies. 448 00:23:43,920 --> 00:23:48,560 Speaker 2: But here's where the argument falls apart. When Minnesota makes 449 00:23:48,640 --> 00:23:53,080 Speaker 2: decisions that create federal immigration or national security implications. That's 450 00:23:53,119 --> 00:23:57,679 Speaker 2: not just Minnesota's problem anymore. When local policies, whether it 451 00:23:57,720 --> 00:24:03,800 Speaker 2: be Denver, Tulsahoma City, Highland's ramage, it's tell your ride, 452 00:24:04,160 --> 00:24:06,680 Speaker 2: it's Minneapolis, Saint Paul, I don't care where it is. 453 00:24:07,080 --> 00:24:10,919 Speaker 2: When Minnesota makes decisions that create federal immigration or national 454 00:24:10,920 --> 00:24:14,760 Speaker 2: security implications, that's no longer just that states or that 455 00:24:14,840 --> 00:24:20,199 Speaker 2: city's problem anymore, because when local policies intersect with federal 456 00:24:20,240 --> 00:24:23,480 Speaker 2: law enforcement standards, for example, like. 457 00:24:25,160 --> 00:24:27,200 Speaker 4: Use of force protocols. 458 00:24:26,840 --> 00:24:31,440 Speaker 2: That affect officers safety nationwide, or immigration enforcement that has 459 00:24:31,680 --> 00:24:35,520 Speaker 2: border security ramifications, we're not talking about mere trial and 460 00:24:35,640 --> 00:24:38,959 Speaker 2: error within state boundaries. We're not talking about experimentation. 461 00:24:39,880 --> 00:24:41,200 Speaker 4: That's not what's happening at all. 462 00:24:42,160 --> 00:24:48,120 Speaker 2: It metastasizes, just like anything else, it spills over. In fact, 463 00:24:48,160 --> 00:24:50,840 Speaker 2: I would make the argument that, I mean, there are 464 00:24:50,840 --> 00:24:53,840 Speaker 2: several reasons why what's going on in Minnesota is going on. One, 465 00:24:53,920 --> 00:24:57,320 Speaker 2: it is to some degree of distraction from the corruption 466 00:24:57,440 --> 00:25:01,680 Speaker 2: going on in in all the welfare programs. It's also 467 00:25:01,720 --> 00:25:06,480 Speaker 2: the result of inflammatory and incitement incitement language by the 468 00:25:06,520 --> 00:25:11,320 Speaker 2: mayor and the UH and the governor. It's also that 469 00:25:11,440 --> 00:25:13,680 Speaker 2: the Lieutenant governor appears to be a member of the 470 00:25:13,720 --> 00:25:16,920 Speaker 2: signal chat groups that's doing all the organizing and logistics 471 00:25:16,920 --> 00:25:19,520 Speaker 2: and the funding and everything else. So you combine all 472 00:25:19,560 --> 00:25:23,480 Speaker 2: of that, of course that's going on in Minnesota. But 473 00:25:23,560 --> 00:25:27,400 Speaker 2: where do we first start hearing about trenda Rogba for example? Oh, yeah, 474 00:25:27,440 --> 00:25:30,000 Speaker 2: that was just over here. I can I can point 475 00:25:30,080 --> 00:25:33,040 Speaker 2: right over there to Aurora and right well, right where 476 00:25:33,080 --> 00:25:36,720 Speaker 2: I'm sitting in Denver, and that's where TDA really first 477 00:25:36,760 --> 00:25:43,600 Speaker 2: appeared and became a problem. So when Minnesota's making these decisions, 478 00:25:45,119 --> 00:25:48,520 Speaker 2: those decisions spill over into Now the riots and the 479 00:25:48,560 --> 00:25:52,800 Speaker 2: protests here haven't been nearly as bad, but Mike Johnston's 480 00:25:52,800 --> 00:25:55,120 Speaker 2: already made the comment, the mayor of Denver, that he's 481 00:25:55,160 --> 00:25:58,840 Speaker 2: not going to tolerate that kind of stuff. So we're 482 00:25:58,840 --> 00:26:02,920 Speaker 2: not talking about this being laboratories anymore. We're talking about 483 00:26:02,920 --> 00:26:07,000 Speaker 2: the spillover effect of actually violating federal law. Now, the 484 00:26:07,040 --> 00:26:11,480 Speaker 2: text the goober also suggests that I'm somehow arguing that 485 00:26:11,640 --> 00:26:14,520 Speaker 2: Minnesota is the same as Denver, or Denver is the 486 00:26:14,560 --> 00:26:19,199 Speaker 2: same as Island's ranch. That's not what I said. What 487 00:26:19,280 --> 00:26:23,800 Speaker 2: I am saying is that bad policy ideas, whether in Minneapolis, Nver, 488 00:26:23,880 --> 00:26:32,680 Speaker 2: anywhere else, deserve scrutiny because those ideas metastasize progressive prosecutors 489 00:26:33,080 --> 00:26:40,520 Speaker 2: in one jurisdiction, embolden all the activists in other jurisdictions. 490 00:26:42,080 --> 00:26:46,000 Speaker 2: Take the defund the police movements. Did that state can 491 00:26:46,040 --> 00:26:50,600 Speaker 2: find in Minneapolis? It did not take the mostly peaceful 492 00:26:50,680 --> 00:26:54,720 Speaker 2: protests of twenty twenty did that remain in Minneapolis. It 493 00:26:54,800 --> 00:26:59,159 Speaker 2: did not. It spreads like sarg kov doo, who oh 494 00:26:59,280 --> 00:27:01,840 Speaker 2: my god, we better shut down everything. It spreads like 495 00:27:01,880 --> 00:27:05,919 Speaker 2: a contagion across the entire country. So I'm not arguing 496 00:27:05,920 --> 00:27:11,120 Speaker 2: for uniformity. I'm arguing against intellectual laziness that says, hey, 497 00:27:11,200 --> 00:27:15,320 Speaker 2: just let them have their failures, because when those failures 498 00:27:15,359 --> 00:27:18,480 Speaker 2: export consequences to the rest of us, now we all 499 00:27:18,520 --> 00:27:21,760 Speaker 2: have to deal with that. And as for the ftard 500 00:27:21,800 --> 00:27:24,199 Speaker 2: who almost became our vice president, I assume that you 501 00:27:24,240 --> 00:27:26,840 Speaker 2: mean Tim Wallas and Yew. That's exactly why we're having 502 00:27:26,920 --> 00:27:32,679 Speaker 2: this conversation. So keep texting me, absolutely, keep texting me, 503 00:27:33,520 --> 00:27:37,199 Speaker 2: because what's happening in Minnesota is not going to go 504 00:27:37,240 --> 00:27:41,359 Speaker 2: away anytime soon. Now, there's been some intervening factors that 505 00:27:41,400 --> 00:27:43,400 Speaker 2: we talked about at the end of the program yesterday 506 00:27:43,880 --> 00:27:47,400 Speaker 2: about Trump and Walls having a conversation. I've read some 507 00:27:47,480 --> 00:27:50,040 Speaker 2: conservatives that say, oh my gosh, Trump's backing all. I 508 00:27:50,040 --> 00:27:53,400 Speaker 2: don't think Trump's backing off at all. I do think 509 00:27:53,440 --> 00:27:57,840 Speaker 2: that from an electual, purely electoral politics point of view, 510 00:27:58,840 --> 00:28:00,160 Speaker 2: Trump doesn't like what's going on. 511 00:28:01,600 --> 00:28:04,040 Speaker 4: And it appears that Christy Nome or. 512 00:28:03,920 --> 00:28:07,280 Speaker 2: Perhaps they had a CBP is the one that sent 513 00:28:07,640 --> 00:28:10,719 Speaker 2: Gavino or whatever his name is back to California. Trump's 514 00:28:10,720 --> 00:28:13,080 Speaker 2: intervened and said, no, you're still going to be the 515 00:28:13,720 --> 00:28:15,320 Speaker 2: you know, the ICE Agent at large. 516 00:28:15,320 --> 00:28:17,479 Speaker 4: You know you're the Commissioner at large. You're still going 517 00:28:17,560 --> 00:28:17,879 Speaker 4: to be that. 518 00:28:18,320 --> 00:28:23,960 Speaker 2: So Trump's taken action, and Trump has regained his control 519 00:28:24,040 --> 00:28:28,000 Speaker 2: over this situation. I think Christine Nome and everybody else 520 00:28:28,080 --> 00:28:30,080 Speaker 2: kind of got out of control, and I think he's 521 00:28:30,119 --> 00:28:32,880 Speaker 2: taking control of it. Here's the other thing that you've 522 00:28:32,880 --> 00:28:38,400 Speaker 2: got to remember. Why would Tim Walls call Donald Trump? 523 00:28:39,800 --> 00:28:44,520 Speaker 2: Because the political ramifications for Tim Walls were about to 524 00:28:44,520 --> 00:28:51,120 Speaker 2: stab him in the back. Also, he knows that insofar 525 00:28:51,360 --> 00:28:56,840 Speaker 2: as investigators completely separate and apart from Immigrations and Customs 526 00:28:56,920 --> 00:29:00,959 Speaker 2: Enforcement or Customs and Border Patrol are still in his 527 00:29:01,120 --> 00:29:06,760 Speaker 2: state still investigating him. Just because we as the prebs 528 00:29:06,800 --> 00:29:09,880 Speaker 2: out here that you don't hear it on the CBOs 529 00:29:09,920 --> 00:29:14,520 Speaker 2: evening news doesn't mean that they're still not investigating. So 530 00:29:14,600 --> 00:29:19,320 Speaker 2: Tim Walls knows that he's getting blowback and probably when 531 00:29:19,360 --> 00:29:22,440 Speaker 2: we discover that his lieutenant governor may indeed be one 532 00:29:22,440 --> 00:29:25,600 Speaker 2: of the organizers on the signal chat, he knows he's 533 00:29:25,600 --> 00:29:28,640 Speaker 2: in deep doo dooo. So now you do what happens 534 00:29:28,680 --> 00:29:33,880 Speaker 2: when most children and most adults do when they realize 535 00:29:33,920 --> 00:29:35,400 Speaker 2: they're in trouble, they try to get ahead of it. 536 00:29:36,440 --> 00:29:40,680 Speaker 2: And that's exactly what's going on with Tim Walls in 537 00:29:40,720 --> 00:29:43,520 Speaker 2: my opinion. So this hour's chance to win that thousand 538 00:29:43,520 --> 00:29:46,480 Speaker 2: dollars is coming up in the next five minutes again 539 00:29:46,520 --> 00:29:50,560 Speaker 2: thanks to Mercedes Bens of Littleton Mercedesoflittleton dot com. 540 00:29:50,600 --> 00:29:51,479 Speaker 4: Good morning, Michael. 541 00:29:52,080 --> 00:29:54,760 Speaker 1: I can fill it in your stomach tensoning up when 542 00:29:54,760 --> 00:29:57,200 Speaker 1: you have to do that spot for the Mercedes. 543 00:29:56,680 --> 00:29:59,160 Speaker 4: Knowing you drive the BMW and you love the BMW. 544 00:30:00,080 --> 00:30:04,040 Speaker 5: Those guys are dirty, aren't They have a great day? 545 00:30:04,960 --> 00:30:09,840 Speaker 2: Actually, my wife drives a Mercedes from Mercedes Bins of Littleton. 546 00:30:10,600 --> 00:30:14,480 Speaker 4: Yes, so, but I don't drive her car. 547 00:30:16,960 --> 00:30:18,880 Speaker 6: I'm not sure exactly where Mandy got hers, but she 548 00:30:19,240 --> 00:30:22,280 Speaker 6: loves her Mercedes, so she I. 549 00:30:22,680 --> 00:30:26,480 Speaker 2: I honestly, I've driven Tameras and I'm I'm not a 550 00:30:26,480 --> 00:30:28,760 Speaker 2: big fan of it, but there. 551 00:30:28,440 --> 00:30:31,640 Speaker 4: Are two entirely different kinds of cars too. She does 552 00:30:31,720 --> 00:30:32,240 Speaker 4: have a Saban. 553 00:30:32,400 --> 00:30:35,560 Speaker 2: She has one of those small SUVs or something, and 554 00:30:35,600 --> 00:30:37,800 Speaker 2: it's it's like it wants to be an suv, but 555 00:30:37,840 --> 00:30:41,080 Speaker 2: it can't really be. It's it's transitioning, and it's so 556 00:30:41,120 --> 00:30:44,760 Speaker 2: it's it's like a trans suv. She is really sad, 557 00:30:44,880 --> 00:30:47,320 Speaker 2: you know, it's kind of like and it's always demanding, 558 00:30:47,320 --> 00:30:49,760 Speaker 2: and it's always you know, the pronouns that she have 559 00:30:49,800 --> 00:30:51,560 Speaker 2: to call it and everything. It's just really it's just 560 00:30:51,600 --> 00:30:52,480 Speaker 2: a pain in the rear. 561 00:30:52,840 --> 00:30:56,360 Speaker 6: I've got a a nissanics Era and a true suv, right, 562 00:30:56,480 --> 00:30:59,400 Speaker 6: and my wife has a cheap compass which is one 563 00:30:59,400 --> 00:31:03,280 Speaker 6: of those little men drives. One of those ideas we 564 00:31:03,600 --> 00:31:05,560 Speaker 6: call it the su want to be here, yeah, the 565 00:31:05,640 --> 00:31:08,000 Speaker 6: s you want to be right right, yeah. And but 566 00:31:08,520 --> 00:31:11,560 Speaker 6: the difference is it's not wanting to be an suv. 567 00:31:11,840 --> 00:31:16,600 Speaker 6: It it accepts that it's just a tiny miniature. 568 00:31:16,280 --> 00:31:19,320 Speaker 5: Suv, a tall car, a tall. 569 00:31:19,160 --> 00:31:21,640 Speaker 2: Car, right, it's a tall car. But where whereas the 570 00:31:21,680 --> 00:31:25,560 Speaker 2: car that camera drives really is transitioning, it really wants 571 00:31:25,640 --> 00:31:27,920 Speaker 2: to be something that it's not, and it's just you know, 572 00:31:27,960 --> 00:31:31,720 Speaker 2: it's when when she takes it to New Mexico, there's 573 00:31:31,800 --> 00:31:35,560 Speaker 2: a road that goes up to well, I'm not going 574 00:31:35,600 --> 00:31:37,600 Speaker 2: to name were the mountains and you might figure out, 575 00:31:37,880 --> 00:31:39,880 Speaker 2: but anyway, you get this mountain, and I always worry 576 00:31:39,880 --> 00:31:44,240 Speaker 2: about her driving that car that pretend SUV up there, because. 577 00:31:44,120 --> 00:31:44,680 Speaker 4: I know it'scott. 578 00:31:44,680 --> 00:31:46,600 Speaker 2: He's got all wheel driving, four wheel drives, it's got 579 00:31:46,600 --> 00:31:49,560 Speaker 2: all that, but it's just that between her and the car. 580 00:31:49,640 --> 00:31:51,920 Speaker 2: I worry about, like, Okay, when am I gonna get 581 00:31:51,920 --> 00:31:54,040 Speaker 2: the phone call or when I'm going to realize that 582 00:31:54,400 --> 00:31:55,920 Speaker 2: she's been gone for like four hours? 583 00:31:56,320 --> 00:31:57,680 Speaker 4: Should I start a search party? 584 00:31:58,600 --> 00:32:01,120 Speaker 2: And the answer is, well, I guess I can go 585 00:32:01,120 --> 00:32:03,160 Speaker 2: ahead and do it now because there's no Panda Express 586 00:32:03,200 --> 00:32:05,240 Speaker 2: anywhere near so I might as well just go ahead 587 00:32:05,240 --> 00:32:09,920 Speaker 2: and go to the search party now. Yes, a judge 588 00:32:09,960 --> 00:32:15,400 Speaker 2: by the name of Schiltz, not Schlitz, Schiltz has issued 589 00:32:15,480 --> 00:32:21,560 Speaker 2: a show cause order for the what's his name, todd 590 00:32:21,840 --> 00:32:29,960 Speaker 2: Lyons or something. We find out where it was. Anyway, 591 00:32:30,200 --> 00:32:33,400 Speaker 2: it's a show cause order fight, I think one of 592 00:32:33,440 --> 00:32:39,400 Speaker 2: the ice officers. Whatever you think about immigration enforcement, I 593 00:32:39,440 --> 00:32:42,080 Speaker 2: think I've been pretty clear by stand on securing the borders. 594 00:32:42,840 --> 00:32:45,360 Speaker 2: But this case is not about securing the borders. This 595 00:32:45,400 --> 00:32:49,040 Speaker 2: is about whether a federal agency can flip the bird, 596 00:32:49,120 --> 00:32:51,880 Speaker 2: so to speak, to a federal judge. So he ordered 597 00:32:51,880 --> 00:32:56,960 Speaker 2: someone released an illegal alien he ordered that person released 598 00:32:57,000 --> 00:33:01,520 Speaker 2: on January fifteenth. That person was still in custody as 599 00:33:01,560 --> 00:33:06,200 Speaker 2: of Monday night. Now that's not a policy disagreement, Yeah, 600 00:33:06,360 --> 00:33:10,120 Speaker 2: that is. That's defiance. And here's what makes this scary, 601 00:33:10,200 --> 00:33:13,920 Speaker 2: regardless of your politics. If ICE can ignore a federal 602 00:33:14,000 --> 00:33:18,240 Speaker 2: judge's order to release somebody, what stops the irs? I'm 603 00:33:18,280 --> 00:33:21,280 Speaker 2: ignoring a judge's order and say your tax case, what 604 00:33:21,400 --> 00:33:25,400 Speaker 2: stops the EPA from ignoring an injunction against them? This 605 00:33:25,560 --> 00:33:27,640 Speaker 2: judge even pointed out that many of these people that 606 00:33:27,760 --> 00:33:31,320 Speaker 2: ICE is holding actually have lawfully lived and worked in 607 00:33:31,360 --> 00:33:34,160 Speaker 2: the United States for years and done absolutely nothing wrong. 608 00:33:35,360 --> 00:33:40,120 Speaker 2: Well that's not entirely true. They're in the country without authorization. 609 00:33:40,960 --> 00:33:44,360 Speaker 2: Now that's a misdemeanor. But now if they've crossed over 610 00:33:44,440 --> 00:33:48,720 Speaker 2: and come back, now they've actually committed a felony. But 611 00:33:48,800 --> 00:33:51,960 Speaker 2: these aren't MS thirteen gang members. These aren't the worst 612 00:33:51,960 --> 00:33:53,680 Speaker 2: of the worst. These are people who have been caught 613 00:33:53,720 --> 00:33:55,480 Speaker 2: up in a drag net who have already gotten a 614 00:33:55,480 --> 00:33:58,360 Speaker 2: federal judge to rule that they should not be detained. 615 00:33:58,520 --> 00:34:01,520 Speaker 2: Now I disagree with that, but that's the order, and 616 00:34:01,600 --> 00:34:04,360 Speaker 2: ICE is holding them anyway. So now ICE is flying 617 00:34:04,400 --> 00:34:07,320 Speaker 2: people to Texas to get them out of Minnesota federal 618 00:34:07,320 --> 00:34:11,160 Speaker 2: court jurisdiction, literally moving the chess pieces off the board 619 00:34:11,400 --> 00:34:13,600 Speaker 2: when they don't like how the game is going. So 620 00:34:14,680 --> 00:34:18,759 Speaker 2: last Friday, the acting Director of ICE, no, I'm taking 621 00:34:18,760 --> 00:34:21,719 Speaker 2: that back. This Friday, the acting Director of ICE is 622 00:34:21,760 --> 00:34:23,880 Speaker 2: going to have to show up in Minnesota courtroom and 623 00:34:23,960 --> 00:34:27,439 Speaker 2: explain himself. He obviously does they have a lawyer with them, 624 00:34:27,719 --> 00:34:29,600 Speaker 2: but he has to show up personally. 625 00:34:30,160 --> 00:34:30,719 Speaker 4: He can't fight. 626 00:34:30,760 --> 00:34:32,960 Speaker 2: Well, they can file briefs, they can show up with lawyers, 627 00:34:33,160 --> 00:34:35,120 Speaker 2: but he's gonna have to get on a plane, show up, 628 00:34:35,360 --> 00:34:37,000 Speaker 2: and he's gonna have to have to answer to a 629 00:34:37,000 --> 00:34:37,720 Speaker 2: federal judge. 630 00:34:37,760 --> 00:34:40,000 Speaker 4: And if he doesn't, well. 631 00:34:39,800 --> 00:34:42,239 Speaker 2: We're gonna find out a federal law enforcement thinks that 632 00:34:42,280 --> 00:34:45,080 Speaker 2: it's above federal law. So do you want to live 633 00:34:45,080 --> 00:34:49,799 Speaker 2: in a country where federal agents can lock you up 634 00:34:49,840 --> 00:34:52,000 Speaker 2: ignore a judge's order to release you, Because that's what 635 00:34:52,000 --> 00:34:55,480 Speaker 2: we're really talking about here. I know this makes people uncomfortable, 636 00:34:55,760 --> 00:34:57,320 Speaker 2: but I want to frame it around the rule of 637 00:34:57,400 --> 00:35:01,239 Speaker 2: law and judicial authority. Now, does the US have the 638 00:35:01,360 --> 00:35:05,799 Speaker 2: right to order a show cause hearing? Absolutely, they need 639 00:35:05,840 --> 00:35:09,279 Speaker 2: to show up and show cause as to why they 640 00:35:09,320 --> 00:35:12,560 Speaker 2: have not complied with the judge's order. Whether I like 641 00:35:12,640 --> 00:35:15,800 Speaker 2: the order or not, in this case, I don't particularly 642 00:35:15,880 --> 00:35:20,080 Speaker 2: like the order, and I also don't like ICE ignoring 643 00:35:20,120 --> 00:35:23,680 Speaker 2: the order, so they should have filed a motion to 644 00:35:23,880 --> 00:35:27,200 Speaker 2: quash the injunction. But I think what we're I think 645 00:35:27,239 --> 00:35:32,600 Speaker 2: what this case represents is a system that Cloud and 646 00:35:32,680 --> 00:35:39,800 Speaker 2: Peven has been overwhelmed. The agitators have overwhelmed the system, 647 00:35:40,239 --> 00:35:43,520 Speaker 2: and right now ICE is overwhelmed. But that doesn't mean 648 00:35:43,560 --> 00:35:46,680 Speaker 2: we have to or should ignore the rule of law.