1 00:00:00,200 --> 00:00:02,280 Speaker 1: So I guess them don't where we would normally play 2 00:00:02,279 --> 00:00:05,280 Speaker 1: a talkback if there were any talkbacks. But don't worry, no, no, no, 3 00:00:05,200 --> 00:00:06,960 Speaker 1: don't worry about it right now. Don't worry about it 4 00:00:07,000 --> 00:00:07,360 Speaker 1: right now. 5 00:00:07,760 --> 00:00:11,360 Speaker 2: But I check and there weren't any. Unfortunately, there weren't. 6 00:00:11,640 --> 00:00:12,960 Speaker 3: There weren't. That was the first thing. 7 00:00:13,000 --> 00:00:14,400 Speaker 1: I did want to hop on the computer. Do you 8 00:00:14,400 --> 00:00:20,640 Speaker 1: know what we're gonna have to? Just imposed demerits? I think, 9 00:00:20,800 --> 00:00:26,840 Speaker 1: just imposed demerits. But I got I'm going to ask 10 00:00:26,880 --> 00:00:28,560 Speaker 1: you a question. I know, I know you're busy, but 11 00:00:28,640 --> 00:00:30,440 Speaker 1: you know you're not doing anything else today. You're stuck 12 00:00:30,480 --> 00:00:32,320 Speaker 1: with me, So you don't just deal with it, right? 13 00:00:32,920 --> 00:00:37,280 Speaker 1: I mean, come on, deal with it. Have you heard 14 00:00:37,320 --> 00:00:40,680 Speaker 1: the new promo the Liners? So there was a story 15 00:00:40,680 --> 00:00:42,200 Speaker 1: in the trade magazine. Do you know I can see 16 00:00:42,200 --> 00:00:45,519 Speaker 1: electronic trade magazines, and one of them, I forget whether 17 00:00:45,560 --> 00:00:48,000 Speaker 1: it was Talkers or Inside Audio or whatever, if they 18 00:00:48,040 --> 00:00:50,600 Speaker 1: had something about iHeart put out a big press release 19 00:00:50,760 --> 00:00:57,600 Speaker 1: yesterday about how we're all human, we're not AI. Did 20 00:00:57,600 --> 00:00:58,560 Speaker 1: you see that? Have you heard that? 21 00:00:58,600 --> 00:00:59,080 Speaker 3: What I did? 22 00:00:59,200 --> 00:01:01,640 Speaker 2: I was I was asking and grant yesterday, like what 23 00:01:01,840 --> 00:01:03,680 Speaker 2: is up with the guaranteed human thing, and he was 24 00:01:03,680 --> 00:01:06,800 Speaker 2: filling me in some on that is so first of all. 25 00:01:06,640 --> 00:01:08,920 Speaker 3: Grant is a grant doesn't really exist. 26 00:01:09,200 --> 00:01:10,600 Speaker 2: No, that was the irony there. 27 00:01:10,640 --> 00:01:14,039 Speaker 1: I thought, Yeah, that's funny because he claimed that he 28 00:01:14,120 --> 00:01:16,600 Speaker 1: was here yesterday, but he didn't. He didn't do squat. 29 00:01:16,760 --> 00:01:19,520 Speaker 1: But is it real or is it memorys You probably 30 00:01:19,520 --> 00:01:22,280 Speaker 1: don't remember that reference either, although I was impressed today 31 00:01:22,280 --> 00:01:24,000 Speaker 1: when I talked to you earlier you got. 32 00:01:23,920 --> 00:01:26,040 Speaker 3: The Steve Martin the jerk reference. Yeah. 33 00:01:26,040 --> 00:01:28,240 Speaker 2: I love my Steve Martin, one of the greats man. 34 00:01:28,640 --> 00:01:31,400 Speaker 1: Are you watching the series right now on I forget 35 00:01:31,480 --> 00:01:32,400 Speaker 1: Hulu or something. 36 00:01:32,720 --> 00:01:33,679 Speaker 3: Murders in the Building. 37 00:01:34,160 --> 00:01:36,600 Speaker 2: Yeah, I've seen the first couple of seasons of it, 38 00:01:36,680 --> 00:01:38,360 Speaker 2: but I'm behind now. There's just too much stuff to 39 00:01:38,360 --> 00:01:38,880 Speaker 2: watch out there. 40 00:01:38,959 --> 00:01:41,440 Speaker 1: There is too much to watch, and they've done like 41 00:01:41,480 --> 00:01:44,080 Speaker 1: a bazillion of those and my wife is hooked on 42 00:01:44,160 --> 00:01:46,959 Speaker 1: him and I enjoy them. But it's like, you know, 43 00:01:47,040 --> 00:01:49,400 Speaker 1: you have too much, you know, you have too much 44 00:01:49,400 --> 00:01:51,240 Speaker 1: Taco Bell or too much McDonald's. 45 00:01:51,240 --> 00:01:53,080 Speaker 3: You dream like, oh, I can't do that for a while. 46 00:01:53,480 --> 00:01:54,320 Speaker 3: Exactly same with that. 47 00:01:54,520 --> 00:01:56,640 Speaker 1: I mean, it gets like, Okay, let's watch a few 48 00:01:56,680 --> 00:01:58,200 Speaker 1: album and then let's go watch something else and then 49 00:01:58,320 --> 00:01:59,280 Speaker 1: go back to it again later. 50 00:02:00,440 --> 00:02:01,960 Speaker 3: I just got a big kick out of the whole 51 00:02:02,000 --> 00:02:06,200 Speaker 3: thing about, oh my heart, we're human. 52 00:02:07,080 --> 00:02:09,160 Speaker 1: Now. If you if you've ever been in this building, 53 00:02:10,120 --> 00:02:11,760 Speaker 1: and I can't say anything about it because I know 54 00:02:11,840 --> 00:02:13,880 Speaker 1: little Zach well enough, you had to really kind of 55 00:02:13,960 --> 00:02:16,079 Speaker 1: blast him like I normally do my producers and my 56 00:02:16,120 --> 00:02:18,560 Speaker 1: board opts. But if you know, most of the people 57 00:02:18,600 --> 00:02:22,080 Speaker 1: that I work with, they're anything but human. I mean, 58 00:02:22,160 --> 00:02:24,919 Speaker 1: they may be a part of an anatomy of a human. 59 00:02:25,240 --> 00:02:27,920 Speaker 1: You know, a particular let's just say, starts with an 60 00:02:27,919 --> 00:02:30,160 Speaker 1: A and N is with a whole that mad, you know, 61 00:02:30,240 --> 00:02:32,679 Speaker 1: but I know whether that's AI or that's real or not. 62 00:02:32,880 --> 00:02:36,680 Speaker 1: But this building is not very full of human beings. Ah, 63 00:02:36,960 --> 00:02:40,440 Speaker 1: if you will, Yeah, Ah, they're ahs. Yeah they're not ais, 64 00:02:40,480 --> 00:02:41,440 Speaker 1: they're ahs. Yeah. 65 00:02:41,639 --> 00:02:44,880 Speaker 3: That's very good. That's very good. You're not nearly as 66 00:02:44,919 --> 00:02:47,120 Speaker 3: dumb as what Shannon and the others told me. You work. 67 00:02:49,320 --> 00:02:52,480 Speaker 1: So anyway, I just want you to know that I'm live, 68 00:02:52,800 --> 00:02:55,280 Speaker 1: if not memorys, I'm really here today now. I want 69 00:02:55,320 --> 00:02:57,880 Speaker 1: to be here tomorrow and Friday, but I really am 70 00:02:57,919 --> 00:02:58,400 Speaker 1: here today. 71 00:02:59,639 --> 00:03:01,120 Speaker 3: You know that I am a. 72 00:03:02,639 --> 00:03:05,880 Speaker 1: I love X formerly known as Twitter. I know a 73 00:03:05,919 --> 00:03:08,520 Speaker 1: lot of you do not, but it is a great 74 00:03:08,680 --> 00:03:12,679 Speaker 1: insight into American culture. And once you learn how to 75 00:03:12,919 --> 00:03:15,760 Speaker 1: curate X. And by the way, you should be following 76 00:03:15,800 --> 00:03:18,160 Speaker 1: me on X if you're not at Michael Brown USA. 77 00:03:18,480 --> 00:03:21,520 Speaker 1: In fact, that would be a wonderful Thanksgiving present if 78 00:03:21,560 --> 00:03:23,919 Speaker 1: you would go over to X right now at Michael 79 00:03:23,960 --> 00:03:27,160 Speaker 1: Brown USA and give me a follow. I like it 80 00:03:27,280 --> 00:03:31,639 Speaker 1: because it if you and I've got certain lists. I 81 00:03:31,760 --> 00:03:34,480 Speaker 1: have lists of people that drive me crazy, you know, 82 00:03:34,760 --> 00:03:37,840 Speaker 1: usually you know, far left, lack of doodles. I have, 83 00:03:38,200 --> 00:03:40,880 Speaker 1: you know, a list of Colorado politicians so I can 84 00:03:40,920 --> 00:03:43,360 Speaker 1: see what they're tweeting out or posting or whatever the 85 00:03:43,400 --> 00:03:47,279 Speaker 1: correct term is. I've got lists of different news organizations 86 00:03:47,320 --> 00:03:49,760 Speaker 1: that I want to see what stories they're posting, because 87 00:03:49,800 --> 00:03:51,360 Speaker 1: it's kind of like the old AP, you know, so 88 00:03:51,720 --> 00:03:52,720 Speaker 1: the UPI or. 89 00:03:52,760 --> 00:03:57,640 Speaker 3: The newswire, the news services, and so it really is 90 00:03:58,320 --> 00:03:59,000 Speaker 3: an insight. 91 00:03:59,200 --> 00:04:02,480 Speaker 1: And then watching people argue with each other gives me 92 00:04:02,560 --> 00:04:05,800 Speaker 1: an opportunity to look at the different arguments. And then 93 00:04:05,880 --> 00:04:08,680 Speaker 1: sometimes I use it just because it's fun to see 94 00:04:09,080 --> 00:04:13,200 Speaker 1: the stupidity, because stupidity abounds in this country. 95 00:04:14,200 --> 00:04:16,839 Speaker 3: And if you're not using X. 96 00:04:18,360 --> 00:04:21,200 Speaker 1: And you you've tried it, I would suggest you go 97 00:04:21,279 --> 00:04:26,440 Speaker 1: back and try it again. Don't follow everybody, now, you know, 98 00:04:26,480 --> 00:04:29,000 Speaker 1: I just ask you to follow me, But I'm telling 99 00:04:29,040 --> 00:04:31,720 Speaker 1: you I don't follow everybody. And the reason I do 100 00:04:31,920 --> 00:04:35,160 Speaker 1: that is because, again, I want to keep my timeline 101 00:04:35,279 --> 00:04:39,440 Speaker 1: somewhat curated, so I will certainly see if you're following 102 00:04:39,520 --> 00:04:41,840 Speaker 1: me and you post something, I'm probably going to see it. 103 00:04:42,240 --> 00:04:44,920 Speaker 1: But I don't put a lot of people in my timeline, 104 00:04:45,279 --> 00:04:48,480 Speaker 1: primarily because I don't have time to you know, with 105 00:04:49,000 --> 00:04:51,720 Speaker 1: trayed and look, I'm a little guy. I don't have 106 00:04:51,920 --> 00:04:54,040 Speaker 1: you know, hundreds of thousands of followers. I've got, you know, 107 00:04:54,160 --> 00:04:57,160 Speaker 1: some twenty some thousand followers, and that's difficult enough to 108 00:04:57,240 --> 00:05:00,960 Speaker 1: keep up with. But nonetheless, I really do think that 109 00:05:01,279 --> 00:05:04,560 Speaker 1: of all the social media platforms, Facebook has kind of 110 00:05:04,600 --> 00:05:08,760 Speaker 1: turned into the old aging boomers looks over my shoulder, 111 00:05:09,400 --> 00:05:10,560 Speaker 1: the old aging boomers. 112 00:05:11,839 --> 00:05:12,320 Speaker 3: X is. 113 00:05:14,440 --> 00:05:18,600 Speaker 1: A pretty good cross section. But when it comes to 114 00:05:19,440 --> 00:05:22,800 Speaker 1: like the blue check marks. For example, I've been verified 115 00:05:22,880 --> 00:05:24,920 Speaker 1: back when you didn't have to pay to be verified. 116 00:05:25,320 --> 00:05:27,960 Speaker 1: I got verified, use a little blue check marks, and everybody, oh, 117 00:05:28,000 --> 00:05:30,279 Speaker 1: I gotta have a little blue check mark. I got mine, 118 00:05:30,279 --> 00:05:33,240 Speaker 1: I know, back in twenty fifteen or something, as you know, 119 00:05:33,360 --> 00:05:36,120 Speaker 1: because I was a so called public figure whatever the 120 00:05:36,160 --> 00:05:41,719 Speaker 1: crap that means. Today you can actually pay Elon Musk 121 00:05:41,800 --> 00:05:44,240 Speaker 1: because he doesn't have enough money. See, he doesn't have 122 00:05:44,360 --> 00:05:46,760 Speaker 1: enough money, so you need to pay Elon Musk. So 123 00:05:46,839 --> 00:05:48,920 Speaker 1: you can get a little blue check mark too. And 124 00:05:49,000 --> 00:05:51,080 Speaker 1: then once you get the blue check mark, and then 125 00:05:51,360 --> 00:05:53,800 Speaker 1: that apparently gives you some sort of if you know, 126 00:05:54,080 --> 00:05:56,760 Speaker 1: it's better for the algorithm, and you get more likes 127 00:05:56,800 --> 00:05:59,320 Speaker 1: than you get your your tweets or posts, you know, 128 00:05:59,480 --> 00:06:03,560 Speaker 1: exposed more people. Who knows how the algorithm really works. 129 00:06:03,600 --> 00:06:08,679 Speaker 1: I don't know, I don't care. But there is something 130 00:06:08,800 --> 00:06:14,400 Speaker 1: new on X that I find fascinating. If you want 131 00:06:14,400 --> 00:06:19,880 Speaker 1: to refer to say, the influencer industry, they're now absolutely 132 00:06:20,080 --> 00:06:25,440 Speaker 1: apoplectic about a new function on X which allows you 133 00:06:25,839 --> 00:06:29,800 Speaker 1: to see the location from which any given account is 134 00:06:29,880 --> 00:06:34,080 Speaker 1: actually operating. Now, this latest update makes it possible to 135 00:06:34,200 --> 00:06:37,520 Speaker 1: establish when and where your account was set up, so 136 00:06:37,680 --> 00:06:40,720 Speaker 1: you can, for example, if you go on mine and 137 00:06:40,920 --> 00:06:45,080 Speaker 1: you look at the profile page and then you click 138 00:06:45,160 --> 00:06:48,800 Speaker 1: on the date where I join. That's a hyperlink, and 139 00:06:48,800 --> 00:06:51,720 Speaker 1: it will now show you when the account was set up, 140 00:06:52,560 --> 00:06:55,680 Speaker 1: whether it has changed its name since it was originally 141 00:06:55,800 --> 00:07:01,239 Speaker 1: set up, and the location from which they originated their account, 142 00:07:02,080 --> 00:07:05,640 Speaker 1: from which they post and even where they downloaded the 143 00:07:05,920 --> 00:07:11,520 Speaker 1: app to use X now a sensible measure, you might think, 144 00:07:12,360 --> 00:07:14,200 Speaker 1: but not of X is where you make your living, 145 00:07:15,040 --> 00:07:19,040 Speaker 1: and you do so by inserting yourself into other countries' 146 00:07:19,080 --> 00:07:24,480 Speaker 1: internal politics, which is happening here a lot. There are 147 00:07:24,560 --> 00:07:27,400 Speaker 1: really no firm figures on how many earn a you know, 148 00:07:27,560 --> 00:07:31,120 Speaker 1: a living this way, but even the most cursory glance 149 00:07:31,280 --> 00:07:35,600 Speaker 1: through the you know, the hel site formerly known as Twitter, 150 00:07:35,960 --> 00:07:38,840 Speaker 1: we'll tell you the number isn't significant, but it is 151 00:07:39,080 --> 00:07:42,600 Speaker 1: near impossible. When you go to the following there's there's 152 00:07:42,640 --> 00:07:46,160 Speaker 1: two columns, the following column and then the four U column. 153 00:07:46,480 --> 00:07:48,920 Speaker 1: And if you go into the four U column, you'll 154 00:07:49,920 --> 00:07:53,360 Speaker 1: easily spot accounts that have a lot of US flights, 155 00:07:53,520 --> 00:07:56,280 Speaker 1: like people put little US flags like the little flag pin, 156 00:07:56,680 --> 00:07:59,480 Speaker 1: the pel pins that all these Congress critors were making 157 00:07:59,520 --> 00:08:01,200 Speaker 1: sure that you understand that they you know, I love 158 00:08:01,240 --> 00:08:02,320 Speaker 1: Godmother and apple Pie. 159 00:08:02,480 --> 00:08:04,960 Speaker 3: What a bull crap, But anyway, you'll see all these. 160 00:08:04,960 --> 00:08:09,160 Speaker 1: US flags in their profile and then header pictures and 161 00:08:09,240 --> 00:08:13,560 Speaker 1: a litany of posts, images, and obviously videos that highlight 162 00:08:13,680 --> 00:08:21,000 Speaker 1: the very worst of America's political, cultural, and racial divisions. Yeah, 163 00:08:21,280 --> 00:08:25,880 Speaker 1: while this is posed as the output of American citizens 164 00:08:26,280 --> 00:08:30,600 Speaker 1: that are frustrated by you know, who knows what it is, sometimes, 165 00:08:30,640 --> 00:08:33,400 Speaker 1: in fact, more often than not, it's the work of 166 00:08:33,920 --> 00:08:36,840 Speaker 1: foreigners who do not even live in this country. They 167 00:08:37,000 --> 00:08:39,480 Speaker 1: never lived in this country, they don't have any connection 168 00:08:39,600 --> 00:08:42,559 Speaker 1: to the country whatsoever, but they have figured out a 169 00:08:42,720 --> 00:08:45,800 Speaker 1: way to make money off the need of very online 170 00:08:45,840 --> 00:08:51,080 Speaker 1: Americans for a validation of their pre existing attitudes. For example, 171 00:08:51,440 --> 00:08:54,920 Speaker 1: if you have if you hate America for whatever reason, 172 00:08:55,400 --> 00:08:57,520 Speaker 1: masses you hate America. 173 00:08:57,840 --> 00:08:59,920 Speaker 3: I guarantee them to you that they have a way 174 00:09:00,240 --> 00:09:01,920 Speaker 3: to spot you through. 175 00:09:01,880 --> 00:09:05,240 Speaker 1: Their own systems, that they have spot you and then 176 00:09:05,320 --> 00:09:06,960 Speaker 1: reinforce your hatred of America. 177 00:09:08,400 --> 00:09:10,520 Speaker 3: It's it's really bizarre. 178 00:09:11,960 --> 00:09:15,320 Speaker 1: All of this is the result of Elon Musk allowing 179 00:09:15,960 --> 00:09:19,439 Speaker 1: users I don't monetize my account, but you can monetize 180 00:09:19,480 --> 00:09:21,239 Speaker 1: it via a premium subscription. 181 00:09:21,920 --> 00:09:22,280 Speaker 3: I could. 182 00:09:22,400 --> 00:09:25,400 Speaker 1: I could, and because I do the premium subscription because 183 00:09:25,760 --> 00:09:28,640 Speaker 1: I obviously don't want people imitating me, or if people 184 00:09:28,840 --> 00:09:31,959 Speaker 1: read other Michael Brown accounts, I want them to realize 185 00:09:32,000 --> 00:09:34,360 Speaker 1: that that's not me. I'm the one over here. So 186 00:09:34,480 --> 00:09:37,559 Speaker 1: that's why I pay for the stupid privilege of now 187 00:09:37,679 --> 00:09:40,079 Speaker 1: having that verification when I didn't have to pay for 188 00:09:40,200 --> 00:09:43,840 Speaker 1: it before. And that's because, you know, speaking of which, 189 00:09:44,080 --> 00:09:47,720 Speaker 1: like when Kaminsky said, you know, the one and only 190 00:09:47,760 --> 00:09:51,439 Speaker 1: Michael Brown, Well we were joking after affair about no, 191 00:09:51,559 --> 00:09:53,600 Speaker 1: I'm not really the one and only Michael Brown. There 192 00:09:53,679 --> 00:09:56,000 Speaker 1: must be a bazillion Michael Brown's in the country, and 193 00:09:56,160 --> 00:09:58,200 Speaker 1: some like to imitate me, and some like to post, 194 00:09:58,280 --> 00:10:01,000 Speaker 1: you know, in on Behalf for me, pretending to me 195 00:10:01,160 --> 00:10:02,080 Speaker 1: me and say. 196 00:10:02,000 --> 00:10:02,800 Speaker 3: Really bad things. 197 00:10:03,520 --> 00:10:06,079 Speaker 1: Well, now everybody can just see now, because of this 198 00:10:06,240 --> 00:10:09,480 Speaker 1: change on X how many of those blue check marks 199 00:10:09,960 --> 00:10:14,160 Speaker 1: aren't really what they've seen. You really have to admire 200 00:10:14,760 --> 00:10:18,480 Speaker 1: the entrepreneurial spirit of those people who are sitting back, 201 00:10:18,559 --> 00:10:21,240 Speaker 1: you know, who are actually making money off this, because 202 00:10:21,280 --> 00:10:23,920 Speaker 1: it's really easy to sit back and coast it, you know, 203 00:10:24,000 --> 00:10:27,559 Speaker 1: a nine to five job. But these people have identified 204 00:10:27,600 --> 00:10:30,200 Speaker 1: a gap in the market and they've now created an 205 00:10:30,360 --> 00:10:33,360 Speaker 1: entirely new industry serving up a bunch of slop to 206 00:10:33,600 --> 00:10:36,079 Speaker 1: you know, a bunch of mim wits who can be 207 00:10:36,200 --> 00:10:39,960 Speaker 1: roused to anger about anything. You can make people piste 208 00:10:39,960 --> 00:10:42,719 Speaker 1: off about race, gender, Jews. Oh, Kim trails, that's a 209 00:10:42,760 --> 00:10:45,880 Speaker 1: big one. Kim Trail's you know. The White House refurbishment. 210 00:10:46,080 --> 00:10:49,959 Speaker 1: There was something recently about Michelle Obama cried when she 211 00:10:50,120 --> 00:10:53,720 Speaker 1: saw the destruction of the East Wing. Fat a minute 212 00:10:54,480 --> 00:10:57,040 Speaker 1: she lived there, Does she know what the east The 213 00:10:57,080 --> 00:10:59,079 Speaker 1: East Wing is not the residence, It's not the main 214 00:10:59,160 --> 00:11:01,360 Speaker 1: part of the White House. It was this little tiny 215 00:11:02,360 --> 00:11:06,280 Speaker 1: ramshackle addition on the east end of the East Wing 216 00:11:06,920 --> 00:11:09,160 Speaker 1: that was dusty, dirty. 217 00:11:09,200 --> 00:11:11,800 Speaker 3: I mean, I've been in it. I was there. 218 00:11:11,840 --> 00:11:14,720 Speaker 1: There were some old offices there and if you really wanted, 219 00:11:15,040 --> 00:11:18,160 Speaker 1: you know it primarily for the first lady, if they 220 00:11:18,240 --> 00:11:20,920 Speaker 1: needed some extra desk space, they would cram a move 221 00:11:20,960 --> 00:11:23,079 Speaker 1: in that old East Wing. This now since been turned down, 222 00:11:23,520 --> 00:11:27,079 Speaker 1: a torn down, So they even they'll they'll even get 223 00:11:27,080 --> 00:11:31,160 Speaker 1: people spun up about that. So now farming this culture 224 00:11:31,240 --> 00:11:34,839 Speaker 1: war engagement is a slog, especially when you work to 225 00:11:35,160 --> 00:11:38,760 Speaker 1: build an audience for one grievance and then you know events, 226 00:11:38,920 --> 00:11:42,439 Speaker 1: you know, whatever you're grieving about, griping about, complaining about, 227 00:11:42,880 --> 00:11:46,679 Speaker 1: gets obe overtaken by events. That requires you to pivot 228 00:11:46,720 --> 00:11:49,079 Speaker 1: to another thing to get people all spun up about. 229 00:11:49,600 --> 00:11:53,280 Speaker 1: It's more effort than reward in my opinion, and in 230 00:11:53,400 --> 00:11:56,120 Speaker 1: most advanced economies, it's not really worth the time and 231 00:11:56,200 --> 00:11:59,520 Speaker 1: the energy to try to make money off that. But 232 00:11:59,720 --> 00:12:02,319 Speaker 1: now that we really know that there are people from 233 00:12:02,520 --> 00:12:08,640 Speaker 1: other countries, hmmm, why are you trying to interfere in us? 234 00:12:09,280 --> 00:12:10,079 Speaker 3: And how many. 235 00:12:10,040 --> 00:12:14,160 Speaker 1: Useful idiots that are citizens of this country fall for 236 00:12:14,360 --> 00:12:19,280 Speaker 1: that and realize that, Oh, I'm being trolled by somebody 237 00:12:19,400 --> 00:12:22,760 Speaker 1: sitting in Zambia. I'm being trolled by somebody in Yemen. 238 00:12:23,000 --> 00:12:25,840 Speaker 1: I'm being trolled by somebody in the United Arab Emirates. 239 00:12:25,880 --> 00:12:30,079 Speaker 1: I'm beingtrolled by somebody in Venezuela. I'll give you an example. 240 00:12:30,120 --> 00:12:32,880 Speaker 1: Have you've been following something called at Zuomer Rhodesian which 241 00:12:32,920 --> 00:12:36,160 Speaker 1: I know you haven't, but it popped up in one 242 00:12:36,160 --> 00:12:38,480 Speaker 1: of the stories that I read. Claims to be a 243 00:12:38,520 --> 00:12:42,640 Speaker 1: twenty something girl from Gallaston, Texas. For her is at 244 00:12:42,640 --> 00:12:45,520 Speaker 1: them again, Yogi all those kinds of memes and she 245 00:12:45,679 --> 00:12:49,640 Speaker 1: is a very keen interest in waffle house closer to 246 00:12:49,720 --> 00:12:54,320 Speaker 1: TV footage. But doesn't matter that the account is actually 247 00:12:54,400 --> 00:12:58,520 Speaker 1: the work of somebody named Mangeit, a gen x father 248 00:12:58,720 --> 00:13:04,640 Speaker 1: of eight from god Ghaziabad or any other place you 249 00:13:04,720 --> 00:13:07,160 Speaker 1: know from Gaza. Now, if you're in the market for 250 00:13:07,200 --> 00:13:09,160 Speaker 1: a desperate Gazan who's only sign a shot dead by 251 00:13:09,160 --> 00:13:12,240 Speaker 1: the IDEF every few weeks, and somebody in Romania is 252 00:13:12,240 --> 00:13:14,480 Speaker 1: happy to play that role to get the engagement and 253 00:13:14,600 --> 00:13:16,240 Speaker 1: to make money about it, then what do you have 254 00:13:16,280 --> 00:13:19,760 Speaker 1: to complain about. You created a market, the market responded accordingly, 255 00:13:20,080 --> 00:13:25,640 Speaker 1: service rendered cash collected. Pretty easy, right, basic economics. But 256 00:13:25,760 --> 00:13:29,120 Speaker 1: the problem is this, and this is why I think 257 00:13:29,200 --> 00:13:34,319 Speaker 1: the whole thing about iHeart talking about we are human. 258 00:13:35,520 --> 00:13:39,160 Speaker 1: This is a great example of that because when you 259 00:13:39,320 --> 00:13:42,840 Speaker 1: tune in to listen to me, or you download the podcast, 260 00:13:43,280 --> 00:13:45,599 Speaker 1: or you see what I put up on X or 261 00:13:45,640 --> 00:13:49,439 Speaker 1: on Facebook or on Instagram, it's really me. It's a 262 00:13:49,559 --> 00:13:52,640 Speaker 1: human being, and it's a human being that has, you know, 263 00:13:53,400 --> 00:13:55,800 Speaker 1: gone through some really highs in life, some really lows 264 00:13:55,880 --> 00:13:59,080 Speaker 1: in life. And I'm actually sitting in a studio at 265 00:13:59,080 --> 00:14:01,520 Speaker 1: forty six to ninety five. Michael Dimber Colorado, Mato two 266 00:14:01,520 --> 00:14:08,800 Speaker 1: three seven. The phony accounts and the AI. I'm so 267 00:14:09,240 --> 00:14:14,640 Speaker 1: sick of the AI videos. They can actually be a 268 00:14:14,760 --> 00:14:20,600 Speaker 1: source of harm when their fictions are amplified without verification. 269 00:14:21,240 --> 00:14:24,440 Speaker 1: Either by you know, being verified and you checking to 270 00:14:24,480 --> 00:14:27,480 Speaker 1: see if this is a legitimate source, or the cabal 271 00:14:28,040 --> 00:14:30,480 Speaker 1: actually coming down and saying, oh no, wait a minute now, 272 00:14:30,800 --> 00:14:35,000 Speaker 1: whoever's spreading this story, that story simply isn't true. There 273 00:14:35,120 --> 00:14:37,720 Speaker 1: was there was one the other day that I thought 274 00:14:37,840 --> 00:14:42,360 Speaker 1: was kind of interesting that Donald Trump's health is deteriorating rapidly. 275 00:14:42,760 --> 00:14:45,640 Speaker 3: He's dragging his feet and he's talking. 276 00:14:45,640 --> 00:14:48,840 Speaker 1: He's going through the Colonnade from the residents over to 277 00:14:48,880 --> 00:14:50,960 Speaker 1: the Oval Office, which is a beautiful smile over by 278 00:14:51,000 --> 00:14:54,880 Speaker 1: the Rose Garden, and he's walking through there, and they're 279 00:14:54,920 --> 00:14:57,080 Speaker 1: looking at some pictures and some things on the wall, 280 00:14:57,440 --> 00:14:59,440 Speaker 1: and this little boy, who can be I don't know, 281 00:14:59,520 --> 00:15:03,000 Speaker 1: sixteen years old, is following along. Maybe it's a grandson 282 00:15:03,120 --> 00:15:06,400 Speaker 1: or something. But then people who've never been there don't realize. 283 00:15:06,440 --> 00:15:08,320 Speaker 1: And it's hard to see from the photo or from 284 00:15:08,360 --> 00:15:13,240 Speaker 1: the video, but there's an incline up to the Oval Office. 285 00:15:13,720 --> 00:15:17,480 Speaker 1: They inclined been there twenty at least twenty years, because 286 00:15:17,480 --> 00:15:18,360 Speaker 1: it was there when I was there. 287 00:15:19,960 --> 00:15:21,800 Speaker 3: But as Trump is. 288 00:15:21,840 --> 00:15:27,880 Speaker 1: Walking sideways up an incline, and the angle from the 289 00:15:27,960 --> 00:15:32,480 Speaker 1: camera taking the video is down lower, and probably you know, 290 00:15:32,600 --> 00:15:35,200 Speaker 1: because the Secret Service has them far away, you know, 291 00:15:35,320 --> 00:15:37,520 Speaker 1: from probably well maybe not one hundred yards, but you know, 292 00:15:37,640 --> 00:15:40,760 Speaker 1: maybe from twenty five yards away. Then it looks like 293 00:15:40,960 --> 00:15:44,320 Speaker 1: as he moves upward on that incline, that his foot 294 00:15:44,400 --> 00:15:47,560 Speaker 1: is kind of dragging, and so the story gets blown 295 00:15:47,680 --> 00:15:51,920 Speaker 1: up that oh my gosh, look Trump is dying in office. 296 00:15:52,680 --> 00:15:55,960 Speaker 1: He must have Parkinson's or he's got some he's you know, 297 00:15:56,520 --> 00:16:00,880 Speaker 1: Lord knows he's got whatever it is the Bruce Willis has, 298 00:16:01,000 --> 00:16:04,200 Speaker 1: or he's got MSS, or he's got something, and he's 299 00:16:04,280 --> 00:16:08,880 Speaker 1: unable to walk into the Oval office. That's the kind 300 00:16:08,920 --> 00:16:11,760 Speaker 1: of crap that goes on that drives me crazy, and 301 00:16:11,880 --> 00:16:17,400 Speaker 1: I think it's it's destructive to our culture. Now, the 302 00:16:17,560 --> 00:16:23,560 Speaker 1: origin update that now exists on Twitter isn't all, you know, bad. 303 00:16:24,400 --> 00:16:26,840 Speaker 1: If you've ever been unjustly accused of being a foreign 304 00:16:26,960 --> 00:16:32,760 Speaker 1: influenced operative, then this new innovation brings some vindication. I 305 00:16:32,800 --> 00:16:35,840 Speaker 1: should know from my own ex account, because contrary to 306 00:16:35,920 --> 00:16:39,160 Speaker 1: what I'm sometimes told, I don't tweet from some air 307 00:16:39,200 --> 00:16:43,280 Speaker 1: conditioned basement suite, you know, somewhere you know, still within DHS. 308 00:16:44,200 --> 00:16:48,920 Speaker 1: There's it's kind of pitiful when people kind of think 309 00:16:49,040 --> 00:16:54,000 Speaker 1: that or that I'm getting some gigantic generous pension from 310 00:16:54,320 --> 00:16:58,280 Speaker 1: you know, by almost six years at at Homelandsecurity in 311 00:16:58,320 --> 00:17:00,640 Speaker 1: the White House and FEMA and all of that. But 312 00:17:00,800 --> 00:17:03,960 Speaker 1: when you're doing it from across the pond and you're 313 00:17:04,040 --> 00:17:08,520 Speaker 1: trying to stir up American's hatred, which is too bad 314 00:17:08,640 --> 00:17:11,720 Speaker 1: that it already exists, then yeah, it's kind of a 315 00:17:11,760 --> 00:17:12,240 Speaker 1: bad thing. 316 00:17:12,720 --> 00:17:14,320 Speaker 3: But I just want you to know that. 317 00:17:14,640 --> 00:17:18,160 Speaker 1: On Wednesday, November twenty sixth, at nine twenty four nine 318 00:17:18,280 --> 00:17:22,359 Speaker 1: twenty four am Mountain Time, I am. 319 00:17:22,680 --> 00:17:29,919 Speaker 3: Human good exact. 320 00:17:31,600 --> 00:17:34,760 Speaker 1: Some hard truths about the current state of American society, 321 00:17:35,920 --> 00:17:40,240 Speaker 1: which I'm not trying to ruin your Thanksgiving. But when 322 00:17:40,280 --> 00:17:43,040 Speaker 1: the time comes to be really blunt, it's time to 323 00:17:43,119 --> 00:17:46,760 Speaker 1: be blunt. And as I always like to emphasize, I 324 00:17:46,880 --> 00:17:49,160 Speaker 1: live in the real world and I really do talk 325 00:17:49,240 --> 00:17:53,840 Speaker 1: about things that I think are really important. And I 326 00:17:54,560 --> 00:17:58,159 Speaker 1: just think this is something that's important, and I'm not 327 00:17:58,440 --> 00:18:03,720 Speaker 1: a I'm done an election denier. I don't think that 328 00:18:03,920 --> 00:18:09,520 Speaker 1: there is always widespread fraud in the sense that there 329 00:18:09,600 --> 00:18:12,000 Speaker 1: may be certain type I mean, there are different kinds 330 00:18:12,000 --> 00:18:17,280 Speaker 1: of voter fraud, you know, for example, ballot harvesting may 331 00:18:17,440 --> 00:18:21,960 Speaker 1: or may not involve fraud. If you are a member 332 00:18:22,040 --> 00:18:24,920 Speaker 1: of one of the two major parties and you have 333 00:18:25,200 --> 00:18:27,720 Speaker 1: a get out the vote campaign, and part of that 334 00:18:27,800 --> 00:18:30,520 Speaker 1: get out the vote campaign is that you go pick 335 00:18:30,640 --> 00:18:35,480 Speaker 1: up for say elderly people or people who are traveling 336 00:18:35,720 --> 00:18:40,360 Speaker 1: or whatever, and you pick up their legitimately voted ballot 337 00:18:41,119 --> 00:18:43,720 Speaker 1: and you take that to a drop off. I don't 338 00:18:43,760 --> 00:18:47,720 Speaker 1: find fraud in that. Now, don't presuppose that I like 339 00:18:47,800 --> 00:18:50,639 Speaker 1: mail im ballots. I despise mail in ballots. I think 340 00:18:50,680 --> 00:18:52,680 Speaker 1: we got to get rid of mail in ballots. I 341 00:18:52,840 --> 00:18:59,000 Speaker 1: think that voting is such a serious civic duty that, 342 00:18:59,560 --> 00:19:02,760 Speaker 1: like everything, we become lazy asses and we don't want 343 00:19:02,800 --> 00:19:05,960 Speaker 1: to get off our butts and actually have to, you know, 344 00:19:06,400 --> 00:19:10,399 Speaker 1: either go to vote before work or after work because 345 00:19:10,440 --> 00:19:12,879 Speaker 1: we're too ashamed or embarrassed or afraid to say to 346 00:19:12,960 --> 00:19:16,159 Speaker 1: our bosses, hey, I need an extra thirty minutes or 347 00:19:16,160 --> 00:19:18,760 Speaker 1: an hour because during my lunch hour today, I'm going. 348 00:19:18,680 --> 00:19:21,760 Speaker 3: To go vote. Because by federal law and state law. 349 00:19:21,800 --> 00:19:25,320 Speaker 1: I think also employers are required to give you time 350 00:19:25,400 --> 00:19:29,760 Speaker 1: to go vote. But ballot harvesting is not in and 351 00:19:29,840 --> 00:19:32,640 Speaker 1: of it's you know, ballot harvesting has way too many 352 00:19:32,720 --> 00:19:37,320 Speaker 1: connotations and what I just described, you know, I agree 353 00:19:37,400 --> 00:19:40,160 Speaker 1: to go pick up ballots in my precinct for people 354 00:19:40,160 --> 00:19:42,320 Speaker 1: who have indicated they need someone to take their ballot, 355 00:19:42,760 --> 00:19:46,119 Speaker 1: you know, to the drop off box because maybe it's 356 00:19:46,160 --> 00:19:49,440 Speaker 1: too late to mail. Or if you're really doing a 357 00:19:49,760 --> 00:19:52,960 Speaker 1: legitimate get out the vote campaign, then part of the 358 00:19:53,240 --> 00:19:57,640 Speaker 1: GOTV campaign would be to help people who maybe don't 359 00:19:57,680 --> 00:20:00,480 Speaker 1: you know, they don't have stamps, they can't afford stamp, 360 00:20:00,720 --> 00:20:02,800 Speaker 1: they're maybe they're in a nursing home. Any nim I mean, 361 00:20:02,800 --> 00:20:05,680 Speaker 1: I just dream up, you know, different scenarios all day 362 00:20:05,800 --> 00:20:11,720 Speaker 1: long about different situations that are not fraud. On the 363 00:20:11,760 --> 00:20:16,480 Speaker 1: other hand, I don't deny that fraud occurs. We have 364 00:20:17,160 --> 00:20:23,520 Speaker 1: we have criminal convictions showing people casting illegal ballots, and 365 00:20:23,760 --> 00:20:28,640 Speaker 1: we've seen from previous reporting by former reporters, say over 366 00:20:28,720 --> 00:20:32,200 Speaker 1: at Complete Colorado where they have gone to different apartment 367 00:20:32,320 --> 00:20:35,199 Speaker 1: complexes when all of the ballots you know, show up 368 00:20:35,240 --> 00:20:38,560 Speaker 1: and maybe it's near the University of Denver, or maybe 369 00:20:38,560 --> 00:20:41,880 Speaker 1: it's scenario apartment complex somewhere down in Rhino or someplace, 370 00:20:42,359 --> 00:20:46,200 Speaker 1: and the people who now live in that apartment or 371 00:20:46,240 --> 00:20:49,520 Speaker 1: that condo, they're not the ones who are receiving the 372 00:20:49,560 --> 00:20:52,760 Speaker 1: ballots is for the previous occupant, and so the ballots 373 00:20:52,880 --> 00:20:55,280 Speaker 1: just get tossed over on the side and a reporter 374 00:20:55,440 --> 00:20:58,600 Speaker 1: goes out and gathers up all of those ballots. Or 375 00:20:58,680 --> 00:21:00,720 Speaker 1: we got the case member when there went down to 376 00:21:00,760 --> 00:21:05,160 Speaker 1: Colorado Springs and voted down in Colorado Springs. I mean, 377 00:21:05,240 --> 00:21:10,960 Speaker 1: there are situations where you can actually go commit voter fraud. 378 00:21:11,080 --> 00:21:13,240 Speaker 1: Not saying that John did or was intending to, but 379 00:21:13,359 --> 00:21:17,359 Speaker 1: it's an example of how lax these rules are. I 380 00:21:17,520 --> 00:21:20,520 Speaker 1: say all of that because what I'm about to tell 381 00:21:20,600 --> 00:21:22,960 Speaker 1: you I don't want you to say, oh, well, Michael Brown, 382 00:21:23,000 --> 00:21:26,040 Speaker 1: he's one of those crazy election deniers and he thinks 383 00:21:26,040 --> 00:21:28,840 Speaker 1: that you know, Trump one or Trump lost, or Biden 384 00:21:28,880 --> 00:21:31,240 Speaker 1: one or Biden lost or whatever. But here are just 385 00:21:31,400 --> 00:21:37,879 Speaker 1: some facts for you to consider. Take New Jersey, North Carolina. 386 00:21:38,560 --> 00:21:42,679 Speaker 1: We're just a few weeks ago, we had two major elections. 387 00:21:43,640 --> 00:21:46,200 Speaker 1: Do you know that in New Jersey after two decades, 388 00:21:46,359 --> 00:21:51,000 Speaker 1: after more than twenty years of consistent turnout numbers in 389 00:21:51,119 --> 00:21:55,600 Speaker 1: the off year gubernatorial elections, suddenly there was a twenty 390 00:21:55,720 --> 00:22:01,480 Speaker 1: percent uptick in the published numbers of voters for no 391 00:22:01,600 --> 00:22:05,080 Speaker 1: discernible reason of words, Oh yeah, there's now there's there's 392 00:22:05,080 --> 00:22:08,920 Speaker 1: a twenty percent increase in the number of voters now 393 00:22:10,040 --> 00:22:13,359 Speaker 1: that a loan may not be newsworthy. Well, if I 394 00:22:13,440 --> 00:22:19,120 Speaker 1: told you that uptick was only among Democrat voters, Yeah, 395 00:22:19,200 --> 00:22:21,119 Speaker 1: so you have a sudden uptick. You know, you're just 396 00:22:21,240 --> 00:22:23,960 Speaker 1: plodding along at you know what, let just pick a 397 00:22:24,040 --> 00:22:26,080 Speaker 1: number out of my butt. You're just plodding along at 398 00:22:26,119 --> 00:22:28,359 Speaker 1: one hundred thousand voters, one hundred thousand voters on hundred 399 00:22:28,400 --> 00:22:32,600 Speaker 1: thousand voters in these off yr Gouberlatroy election years, and 400 00:22:32,840 --> 00:22:35,600 Speaker 1: it's just, you know, remains the same at one hundred thousand, 401 00:22:36,119 --> 00:22:37,640 Speaker 1: or if you want to put a million, because that's 402 00:22:37,680 --> 00:22:40,600 Speaker 1: more likely, whatever, just pick a number, but pick an 403 00:22:40,600 --> 00:22:43,720 Speaker 1: easy number. So I had twenty percent to it, and 404 00:22:43,800 --> 00:22:45,960 Speaker 1: then suddenly there's a twenty percent. He goes from one 405 00:22:46,000 --> 00:22:48,840 Speaker 1: hundred thousand two hundred and twenty thousand, or goes from 406 00:22:48,880 --> 00:22:52,480 Speaker 1: one million to one point two million, and that increase 407 00:22:53,000 --> 00:22:54,440 Speaker 1: is only among Democrats. 408 00:22:55,960 --> 00:22:56,280 Speaker 3: Hmmm. 409 00:22:57,160 --> 00:23:00,160 Speaker 1: It's the kind of thing that makes you stop and go, why, Wow, 410 00:23:00,800 --> 00:23:05,680 Speaker 1: what's really going on there now? In Virginia. I guess 411 00:23:05,720 --> 00:23:08,760 Speaker 1: you're expected to believe that the polling consensus missed the 412 00:23:08,800 --> 00:23:12,960 Speaker 1: governor's race by more than ten percent, and that Jay Jones, 413 00:23:13,440 --> 00:23:17,440 Speaker 1: the guy running for the attorney general's race, won his 414 00:23:17,760 --> 00:23:21,879 Speaker 1: race after weeks and weeks of public discussion about his 415 00:23:22,240 --> 00:23:24,879 Speaker 1: texts in which he advocated. 416 00:23:24,359 --> 00:23:27,320 Speaker 3: Murdering his political opponents and not just them, but. 417 00:23:27,320 --> 00:23:31,600 Speaker 1: Their spouses and their kids too. I just find that 418 00:23:32,240 --> 00:23:36,680 Speaker 1: either it's an indication or an indictment really how sick 419 00:23:37,040 --> 00:23:41,280 Speaker 1: democrats are, and that oh yeah, well, so here you are. 420 00:23:41,720 --> 00:23:48,159 Speaker 1: You were given an opportunity to retract your texts at 421 00:23:48,200 --> 00:23:51,639 Speaker 1: the time they occurred, and you didn't do so, and 422 00:23:51,720 --> 00:23:55,480 Speaker 1: in fact, you dug yourself a hole even deeper and said, well, yeah, no, 423 00:23:55,520 --> 00:23:57,480 Speaker 1: only would like would I like to kill that guy 424 00:23:57,560 --> 00:24:00,560 Speaker 1: who is the former Speaker of the Virginia House Delegates, 425 00:24:00,880 --> 00:24:03,280 Speaker 1: But I would also like to murder his wife and 426 00:24:03,359 --> 00:24:07,240 Speaker 1: his children, because only when they die do they start 427 00:24:07,320 --> 00:24:12,920 Speaker 1: to take us seriously. Now, is this a coincidence or not, 428 00:24:13,280 --> 00:24:16,680 Speaker 1: I don't know. But both of those states, New Jersey 429 00:24:16,720 --> 00:24:21,159 Speaker 1: and Virginia use Internet linked dominion voting machines. That's how 430 00:24:21,160 --> 00:24:24,040 Speaker 1: they tally their votes. And they also do this like 431 00:24:24,119 --> 00:24:26,880 Speaker 1: we do in Colorado, they allow for this extended period 432 00:24:27,240 --> 00:24:30,120 Speaker 1: in which voters were able to vote by mail in ballots, 433 00:24:30,840 --> 00:24:34,960 Speaker 1: and neither of those states has a hard voter ID requirement. 434 00:24:37,440 --> 00:24:41,160 Speaker 1: Conspiracy or is it just that, Oh, look at what's 435 00:24:41,200 --> 00:24:43,840 Speaker 1: going on here, and it seems to me that, yeah, 436 00:24:44,000 --> 00:24:46,600 Speaker 1: maybe there's something that you at least want to go Huh, 437 00:24:47,280 --> 00:24:53,840 Speaker 1: what's that about? As I've explained before, the seditious sixth 438 00:24:54,040 --> 00:24:58,200 Speaker 1: video that was released last week, the one that you know, 439 00:24:58,560 --> 00:25:01,320 Speaker 1: we talked about it, we played it yesterday. I talked 440 00:25:01,320 --> 00:25:05,440 Speaker 1: about how there probably is a legitimate case for under 441 00:25:05,480 --> 00:25:09,200 Speaker 1: the Uniform Code of Military Justice for investigating them for 442 00:25:09,440 --> 00:25:16,520 Speaker 1: interfering in the laws, the statutes that prevent you or 443 00:25:16,960 --> 00:25:20,159 Speaker 1: make it a crime to actually try to discourage and 444 00:25:20,920 --> 00:25:26,760 Speaker 1: reduce the morale of the military. Hmmm, what if that 445 00:25:27,080 --> 00:25:30,680 Speaker 1: was an operation instigated in the bowels of the CIA 446 00:25:31,280 --> 00:25:35,480 Speaker 1: or the intel community. Now I'm assuming the organizing was 447 00:25:35,560 --> 00:25:37,879 Speaker 1: done by a bunch of rogue radicals in the ranks 448 00:25:38,240 --> 00:25:41,200 Speaker 1: without the knowledge of either the CIA director or the 449 00:25:41,280 --> 00:25:45,440 Speaker 1: Director of National Intelligence Toldy Gabbert, and I've got full 450 00:25:45,520 --> 00:25:50,160 Speaker 1: confidence in Gabbard's lack of involvement, and for that matter 451 00:25:50,160 --> 00:25:50,879 Speaker 1: of Ratmus too. 452 00:25:51,840 --> 00:25:54,600 Speaker 3: But don't you wonder, like how. 453 00:25:54,560 --> 00:25:59,000 Speaker 1: Did those six come together and decide to make the video, 454 00:25:59,520 --> 00:26:02,200 Speaker 1: who pays for it, who did the production and the 455 00:26:02,400 --> 00:26:05,880 Speaker 1: editing and everything else. It's just those things that make 456 00:26:05,960 --> 00:26:06,199 Speaker 1: you go. 457 00:26:07,000 --> 00:26:14,200 Speaker 3: Huh in the middle of the night, getting on the 458 00:26:14,280 --> 00:26:15,200 Speaker 3: air and doing what you do. 459 00:26:18,119 --> 00:26:19,800 Speaker 1: If if you, and by the way, thank you, I 460 00:26:19,840 --> 00:26:25,239 Speaker 1: appreciate that. Let me remind everybody because if you want 461 00:26:25,280 --> 00:26:28,159 Speaker 1: to send me a text message, I can't even tell 462 00:26:28,200 --> 00:26:30,720 Speaker 1: you what the other number is. But the number for 463 00:26:31,119 --> 00:26:36,080 Speaker 1: this program and for the nationally syndicated weekend program is 464 00:26:36,240 --> 00:26:39,600 Speaker 1: three three one zero three. So on your message app 465 00:26:40,160 --> 00:26:44,919 Speaker 1: if you've been accustomed to texting you know Colorado O'Neil, 466 00:26:44,960 --> 00:26:47,280 Speaker 1: the what it used to be, Colorado Morning News, or 467 00:26:47,400 --> 00:26:47,760 Speaker 1: any of the. 468 00:26:47,800 --> 00:26:51,240 Speaker 3: Other programs on KOA, that number does not get read 469 00:26:51,280 --> 00:26:51,520 Speaker 3: by me. 470 00:26:51,680 --> 00:26:53,919 Speaker 1: I don't even have a log in to that number, 471 00:26:54,320 --> 00:26:57,639 Speaker 1: so I don't see any text that you send, but 472 00:26:58,200 --> 00:27:02,560 Speaker 1: I hear through the grapevine people may have. So if 473 00:27:02,600 --> 00:27:06,920 Speaker 1: you're wanting to make certain that I see your you know, 474 00:27:07,600 --> 00:27:12,360 Speaker 1: nasty text or your disagreement texts, or your congratulations text 475 00:27:12,440 --> 00:27:14,440 Speaker 1: or whatever it might be, even a happy Thanksgiving text, 476 00:27:14,800 --> 00:27:18,399 Speaker 1: the number is three three one zero three. Keyword micro Michael. 477 00:27:18,560 --> 00:27:21,560 Speaker 1: All right, So I'm just I'm telling you that because 478 00:27:21,680 --> 00:27:24,400 Speaker 1: I hear through the grapevine that some of you are 479 00:27:24,480 --> 00:27:27,600 Speaker 1: still using that other number, which again I don't know 480 00:27:27,680 --> 00:27:31,359 Speaker 1: what it is to text me on this program three 481 00:27:31,440 --> 00:27:34,359 Speaker 1: three one zero three on your message out keyword micro Michael. 482 00:27:34,760 --> 00:27:37,880 Speaker 1: So go back to the point about we have Virginia, 483 00:27:37,920 --> 00:27:43,359 Speaker 1: New Jersey, You've got the Attorney general in Virginia, and 484 00:27:43,800 --> 00:27:46,440 Speaker 1: then you have people starting to think, well maybe you know. 485 00:27:46,600 --> 00:27:51,119 Speaker 1: In fact, I even read for my promo for the 486 00:27:51,400 --> 00:27:55,159 Speaker 1: nationally syndicated program, I included a story where they are 487 00:27:55,240 --> 00:27:59,480 Speaker 1: now believing that the CIA is out to get Donald Trump, 488 00:28:00,400 --> 00:28:03,800 Speaker 1: and of course it comes from Info Wars and Roger Stone, 489 00:28:04,400 --> 00:28:08,240 Speaker 1: and I just dismissed the story. I will tell you 490 00:28:08,359 --> 00:28:11,560 Speaker 1: I dismissed the story. And I know Roger Stone personally. 491 00:28:12,000 --> 00:28:14,359 Speaker 1: I know Roger Stone for I don't know twenty years. 492 00:28:15,160 --> 00:28:17,920 Speaker 1: But just because I know somebody doesn't mean that I 493 00:28:18,080 --> 00:28:22,359 Speaker 1: agree with what they happen to say. But let's go 494 00:28:22,480 --> 00:28:23,960 Speaker 1: through some of the other stuff that I think is 495 00:28:24,040 --> 00:28:26,960 Speaker 1: just the reality that we need to think about the 496 00:28:27,040 --> 00:28:32,280 Speaker 1: federal judiciary, and frankly, the lower courts have been completely 497 00:28:32,440 --> 00:28:35,640 Speaker 1: captured by the radical left. And I think that has 498 00:28:35,680 --> 00:28:38,240 Speaker 1: as much to do with twelve years of Obama and 499 00:28:38,480 --> 00:28:42,480 Speaker 1: Biden filling the bench with these radical leftists who just truly, 500 00:28:42,640 --> 00:28:46,320 Speaker 1: I think, hate the country. They want to, in Obama's words, 501 00:28:46,360 --> 00:28:50,240 Speaker 1: to fundamentally transform the United States of America from a 502 00:28:50,320 --> 00:28:54,360 Speaker 1: constitutional republican to whatever socials utopia it is that they 503 00:28:54,440 --> 00:28:57,880 Speaker 1: happen to believe in. It also has to do with 504 00:28:58,040 --> 00:29:01,360 Speaker 1: and I've not been been a member of the American 505 00:29:01,440 --> 00:29:03,960 Speaker 1: Bar Association after I think. I think I was a 506 00:29:04,040 --> 00:29:06,520 Speaker 1: member for two years when I was a baby lawyer, 507 00:29:06,960 --> 00:29:09,240 Speaker 1: and then I got to see and I'm talking about 508 00:29:09,440 --> 00:29:13,560 Speaker 1: decades ago about how the ABA, the American Bar Association, 509 00:29:14,160 --> 00:29:16,920 Speaker 1: how they operate and what they do and how they 510 00:29:16,960 --> 00:29:20,520 Speaker 1: are involved politically, is why I dropped, I quick pain Dues, 511 00:29:21,040 --> 00:29:23,719 Speaker 1: I just refuse to be a member of the ABA. Well, 512 00:29:23,760 --> 00:29:26,400 Speaker 1: I think that between Obama and Biden and the American 513 00:29:26,480 --> 00:29:31,560 Speaker 1: Bar Association, that's why we have these really radical judges 514 00:29:32,120 --> 00:29:35,520 Speaker 1: who are taking really radical positions. Remember the story I 515 00:29:35,600 --> 00:29:38,160 Speaker 1: gave you this week about the judge down in Texas 516 00:29:38,600 --> 00:29:43,200 Speaker 1: that overrule the Texas redistricting map solely on the basis 517 00:29:43,360 --> 00:29:46,600 Speaker 1: of no evidence whatsoever that He just believes it was racist, 518 00:29:47,280 --> 00:29:49,680 Speaker 1: and it didn't matter to him who did the map. 519 00:29:49,760 --> 00:29:51,280 Speaker 1: He thought the map was racist, so he was just 520 00:29:51,400 --> 00:29:54,360 Speaker 1: gonna throw it out, something which he has no authority 521 00:29:54,440 --> 00:29:58,320 Speaker 1: to do whatsoever. It seems to me that the radicalization 522 00:29:58,440 --> 00:30:03,200 Speaker 1: of the judiciary is systematically working to dismantle the powers 523 00:30:03,280 --> 00:30:06,720 Speaker 1: of the executive branch, and unfortunately, that effort appears to 524 00:30:06,760 --> 00:30:11,000 Speaker 1: have at least the tacit support of Chief Justice John Roberts, 525 00:30:11,400 --> 00:30:16,280 Speaker 1: who insteadfastly refused to sanction any of these judges who 526 00:30:16,320 --> 00:30:20,920 Speaker 1: are clearly operating outside their jurisdiction, and he is the 527 00:30:21,080 --> 00:30:25,000 Speaker 1: one individual who could rein them in. Now, the other 528 00:30:25,280 --> 00:30:28,880 Speaker 1: justice Associate Justices of the Supreme Court could give speeches 529 00:30:28,960 --> 00:30:32,000 Speaker 1: and lectures, and they could write, you know, articles for 530 00:30:32,120 --> 00:30:35,959 Speaker 1: Law Review or other journals about how thea they need 531 00:30:36,040 --> 00:30:38,120 Speaker 1: to stay within their lane blah blah blah. But they're 532 00:30:38,160 --> 00:30:40,640 Speaker 1: not doing it because they're waiting on the Chief Justice, 533 00:30:41,120 --> 00:30:45,240 Speaker 1: who really is in charge of the judicial branch, to say, hey, guys, 534 00:30:45,400 --> 00:30:50,520 Speaker 1: stop it, just stop it. And despite the fact that 535 00:30:50,640 --> 00:30:54,480 Speaker 1: the Chief justicesn't do that, the Supreme Court still finds 536 00:30:54,600 --> 00:30:59,200 Speaker 1: majorities to reverse some of these outrageous Lower court decisions, 537 00:31:00,040 --> 00:31:02,760 Speaker 1: and the most recent example being the reversal of that 538 00:31:02,920 --> 00:31:06,200 Speaker 1: judge's ruling down in the state of Texas and trying 539 00:31:06,240 --> 00:31:09,080 Speaker 1: to prohibit their ability to finalize their new congressional district 540 00:31:09,120 --> 00:31:13,400 Speaker 1: map ahead of the elections. We should all actually be 541 00:31:13,600 --> 00:31:17,720 Speaker 1: quite thankful that Clarence Thomas and Samuel Alito and some 542 00:31:17,800 --> 00:31:21,720 Speaker 1: of the others are still on the court. And then 543 00:31:22,680 --> 00:31:25,400 Speaker 1: I would just throw out that what's going on with 544 00:31:25,480 --> 00:31:30,080 Speaker 1: the FBI and what's really the truth about Thomas Matthew Crooks. 545 00:31:31,040 --> 00:31:31,760 Speaker 3: I don't know why. 546 00:31:32,320 --> 00:31:35,960 Speaker 1: I mean, really he was the only one involved, or 547 00:31:36,040 --> 00:31:38,160 Speaker 1: that they didn't know about it and the Secret Service 548 00:31:38,200 --> 00:31:40,600 Speaker 1: had no clue that there was a sniper and there 549 00:31:40,720 --> 00:31:45,440 Speaker 1: was an unsecured area. I just that's either such blatant 550 00:31:45,560 --> 00:31:52,280 Speaker 1: incompetence or alternatively, there was something nefarious going on. That's 551 00:31:52,320 --> 00:31:53,560 Speaker 1: the real world that I live in.