1 00:00:00,280 --> 00:00:01,440 Speaker 1: I got checking off of. 2 00:00:05,120 --> 00:00:08,000 Speaker 2: I as a headosexual male, like the smell of women. 3 00:00:10,320 --> 00:00:13,480 Speaker 1: Why am I getting beat with the hot dog? Oh? 4 00:00:13,520 --> 00:00:20,919 Speaker 1: Those poor people? He has a fine took us. Oh, 5 00:00:21,120 --> 00:00:25,040 Speaker 1: Twin Cities News Talk. Hey, I'm eleven thirty and one 6 00:00:25,079 --> 00:00:27,480 Speaker 1: oh three five FM. I don't know what happened there. 7 00:00:27,560 --> 00:00:30,680 Speaker 1: I just decided to play a couple of random drops, 8 00:00:30,680 --> 00:00:33,280 Speaker 1: and then Brett, who was back in the master control 9 00:00:33,320 --> 00:00:36,040 Speaker 1: booth this morning, decided to join in. 10 00:00:36,360 --> 00:00:38,279 Speaker 2: You gave me the green light, and I went in 11 00:00:38,280 --> 00:00:38,879 Speaker 2: there and did it. 12 00:00:38,920 --> 00:00:41,280 Speaker 1: I'm kind of in that mood. I'm kind of in 13 00:00:41,320 --> 00:00:43,680 Speaker 1: that mood this morning. Here as we start our show 14 00:00:43,720 --> 00:00:46,360 Speaker 1: from the six five to one carpet plus Next Day 15 00:00:46,440 --> 00:00:50,959 Speaker 1: install studios on Twin Cities News Talk. This December, according 16 00:00:51,000 --> 00:00:55,680 Speaker 1: to those that do the meteorology thing, this December could 17 00:00:55,760 --> 00:01:03,000 Speaker 1: be the coldest one yet in more than ten years. 18 00:01:03,560 --> 00:01:09,800 Speaker 1: This is perfect for ice enforcement, just saying it doesn't 19 00:01:09,840 --> 00:01:13,360 Speaker 1: stop the protesters from going and just ticking everybody off 20 00:01:13,440 --> 00:01:17,920 Speaker 1: by chanting and screaming and playing musical instruments and banging 21 00:01:17,959 --> 00:01:22,040 Speaker 1: on drums outside of the Hilton down by Mall of America, 22 00:01:22,120 --> 00:01:24,480 Speaker 1: where they assumed that ice was staying. You probably did 23 00:01:24,480 --> 00:01:28,080 Speaker 1: you see the videos videos on that I did not, Okay, yeah, 24 00:01:28,120 --> 00:01:32,160 Speaker 1: and again it's just such a jerk move. I understand 25 00:01:32,240 --> 00:01:35,440 Speaker 1: from an activist perspective, this is what activists do, but 26 00:01:35,480 --> 00:01:37,880 Speaker 1: it really does demonstrate how they just don't care because 27 00:01:37,959 --> 00:01:41,360 Speaker 1: it's not like it's only ice in those hotels. It's 28 00:01:41,400 --> 00:01:42,920 Speaker 1: the same attitude that people have when they go on 29 00:01:42,959 --> 00:01:45,680 Speaker 1: they block freeways. You're guys gonna make everybody else mad, 30 00:01:45,680 --> 00:01:48,800 Speaker 1: but they don't care. It's just it's all about making 31 00:01:48,840 --> 00:01:52,320 Speaker 1: themselves personally feel better. But getting back to the weather 32 00:01:52,360 --> 00:01:54,480 Speaker 1: really quick. So they had this big storm rolling in 33 00:01:55,160 --> 00:01:57,000 Speaker 1: and I know that it's a big storm because I 34 00:01:57,040 --> 00:01:59,480 Speaker 1: watched a TikTok video this morning of a guy saying, 35 00:01:59,760 --> 00:02:03,240 Speaker 1: this is going to be a big storm. We'll see 36 00:02:03,240 --> 00:02:05,840 Speaker 1: how the whole thing shakes out. It's weird though, because 37 00:02:05,880 --> 00:02:09,280 Speaker 1: I don't recall I couldn't. I don't remember a time 38 00:02:10,320 --> 00:02:13,440 Speaker 1: when like, over the course of the past few days, 39 00:02:13,480 --> 00:02:16,920 Speaker 1: it's just like been consistently snowing, like not a lot, 40 00:02:16,960 --> 00:02:19,560 Speaker 1: but it's just been like it's not on the map. 41 00:02:20,720 --> 00:02:23,720 Speaker 1: I went and got my car washed on Sunday. He 42 00:02:23,800 --> 00:02:25,960 Speaker 1: dropped my mollendo off over a cub and I buzzed 43 00:02:25,960 --> 00:02:28,600 Speaker 1: over to the holiday and went through the went to 44 00:02:28,639 --> 00:02:30,400 Speaker 1: the drive through a car washing. It was nice and sunny. 45 00:02:30,440 --> 00:02:32,680 Speaker 1: It was cold out, but nice and sunny outside. But 46 00:02:32,760 --> 00:02:34,840 Speaker 1: I only did that because I looked at the I 47 00:02:34,840 --> 00:02:36,960 Speaker 1: looked at the app and it showed that, you know, well, 48 00:02:36,960 --> 00:02:38,960 Speaker 1: it's gonna be fine. And then suddenly now it's just 49 00:02:39,080 --> 00:02:40,760 Speaker 1: snowing all the time. I left this morning and there 50 00:02:40,800 --> 00:02:43,519 Speaker 1: was like a half inch in the in the driveway. 51 00:02:44,360 --> 00:02:46,160 Speaker 1: You think I'd be used to this by now, living 52 00:02:46,160 --> 00:02:47,760 Speaker 1: in Minnesota for as long as I have, it just 53 00:02:47,800 --> 00:02:49,400 Speaker 1: seems weird. I don't remember like the sort of the 54 00:02:49,480 --> 00:02:52,760 Speaker 1: consistent snowfall, even when it's not turning up on the 55 00:02:52,880 --> 00:02:54,840 Speaker 1: UH on the weather app. But it's supposed to get, 56 00:02:54,880 --> 00:02:57,079 Speaker 1: you know, much worse later on this afternoon. My thing 57 00:02:57,160 --> 00:02:59,000 Speaker 1: is that winter just came so fast. 58 00:02:59,400 --> 00:03:03,840 Speaker 3: Yeah, like literally three weeks ago, I was out golfing 59 00:03:03,880 --> 00:03:05,600 Speaker 3: in like fifty to sixty degree weather. 60 00:03:05,720 --> 00:03:09,919 Speaker 1: Yeah, and now it's just miserable. The switch got the 61 00:03:10,520 --> 00:03:13,920 Speaker 1: the switch got flipped. So I was having a conversation 62 00:03:14,040 --> 00:03:15,960 Speaker 1: with one of the neighbors over the weekend. I was 63 00:03:16,000 --> 00:03:19,400 Speaker 1: walking the dog and they were out chiseling the d 64 00:03:19,440 --> 00:03:21,120 Speaker 1: I would say shoveling, but they weren't shoveling. They were 65 00:03:21,160 --> 00:03:22,600 Speaker 1: chiseling because you were at the point where you had 66 00:03:22,639 --> 00:03:25,120 Speaker 1: the chisel because the ice was just so packed in 67 00:03:25,160 --> 00:03:28,040 Speaker 1: on the driveway. And we were having a conversation of like, 68 00:03:28,080 --> 00:03:31,600 Speaker 1: the past two Christmas holidays, it seems as if we 69 00:03:31,639 --> 00:03:34,160 Speaker 1: didn't have any snow. I think the year last year 70 00:03:34,160 --> 00:03:36,040 Speaker 1: we didn't, and then the year before I think there 71 00:03:36,080 --> 00:03:38,000 Speaker 1: was like a light dusting. And I was talking with 72 00:03:38,080 --> 00:03:40,080 Speaker 1: them like, I wonder if all of this snow we'll 73 00:03:40,120 --> 00:03:42,600 Speaker 1: stick around before Christmas is saying, yeah, I think we're 74 00:03:42,840 --> 00:03:46,040 Speaker 1: pretty much guaranteed to have a white, white Christmas this year. 75 00:03:46,240 --> 00:03:48,640 Speaker 1: All right, on the show this morning, a little bit 76 00:03:48,640 --> 00:03:51,880 Speaker 1: of a change, Devin Gartzenstein Ross, we were going to 77 00:03:51,920 --> 00:03:55,480 Speaker 1: be talking AI. We'll be doing that on Thursday. 78 00:03:55,760 --> 00:03:56,040 Speaker 4: Now. 79 00:03:56,200 --> 00:03:58,160 Speaker 1: There was a report this morning on Fox News right 80 00:03:58,160 --> 00:04:02,040 Speaker 1: before the show started that Time at magazine may pick 81 00:04:02,720 --> 00:04:05,720 Speaker 1: for a person of their of the year. AI might 82 00:04:05,720 --> 00:04:08,520 Speaker 1: be their Person of the Year in a bid for 83 00:04:08,600 --> 00:04:11,160 Speaker 1: Time Magazine to just remain relevant because it's pretty much 84 00:04:11,200 --> 00:04:14,160 Speaker 1: the only reason why anybody pays attention to them. Once 85 00:04:15,160 --> 00:04:17,320 Speaker 1: once a year, when they pick their person of the year. 86 00:04:17,360 --> 00:04:20,600 Speaker 1: If you've seen Time magazine at the you know, doctor's 87 00:04:20,640 --> 00:04:23,880 Speaker 1: office or dermatologists or wherever, it's like down to like 88 00:04:24,080 --> 00:04:29,680 Speaker 1: pamphlet levels of thickness. So David will be on Thursday's show. 89 00:04:29,720 --> 00:04:32,000 Speaker 1: We had to make the change. He had some family issues, 90 00:04:32,680 --> 00:04:35,679 Speaker 1: so he'll be on Thursday. This morning, though, at seven thirty, 91 00:04:35,720 --> 00:04:39,479 Speaker 1: we will be talking with our adopted senator from Wisconsin, 92 00:04:41,040 --> 00:04:45,080 Speaker 1: Ron Johnson. It's an honor of Brett. Yeah see, there 93 00:04:45,120 --> 00:04:47,120 Speaker 1: you goes see, I got youa Wisconsin. I don't have 94 00:04:47,160 --> 00:04:48,960 Speaker 1: the docta back, but yeah, I don't have it, but 95 00:04:49,440 --> 00:04:53,200 Speaker 1: I know Conny, so uh yeah. Ron Johnson joining us 96 00:04:53,240 --> 00:04:55,760 Speaker 1: this morning at at seven thirty. Of course, we'll talk 97 00:04:55,760 --> 00:04:59,159 Speaker 1: a lot of fraud. We have a couple of stories 98 00:04:59,200 --> 00:05:06,440 Speaker 1: regarding the wasteful expenditures courtesy of the Minneapolis City Council, 99 00:05:06,520 --> 00:05:11,040 Speaker 1: including I don't have this slated to discuss until much 100 00:05:11,120 --> 00:05:14,279 Speaker 1: later in the in the eight o'clock hour. However, I 101 00:05:14,360 --> 00:05:18,359 Speaker 1: do have a dollar amount that the Minneapolis the City 102 00:05:18,360 --> 00:05:24,880 Speaker 1: Council has spent on planning alone for George Floyd Square, 103 00:05:25,600 --> 00:05:28,960 Speaker 1: Like they haven't done anything to fix it, just what 104 00:05:29,000 --> 00:05:32,960 Speaker 1: they've spent in planning on doing something. And also one 105 00:05:33,040 --> 00:05:37,400 Speaker 1: hundred and fifty thousand dollars for a city paid prints 106 00:05:37,720 --> 00:05:43,479 Speaker 1: sing along can't support law enforcement. Got to give that 107 00:05:43,520 --> 00:05:46,520 Speaker 1: money to violence interrupters. But we are going to spend 108 00:05:46,800 --> 00:05:49,760 Speaker 1: millions on planning the future of George Floyd Square and 109 00:05:50,480 --> 00:05:52,600 Speaker 1: hundreds of thousands of dollars for a print sing along? 110 00:05:52,680 --> 00:05:55,159 Speaker 1: What you know? It's just what a fantastic use of 111 00:05:55,200 --> 00:05:58,680 Speaker 1: your taxpayer dollars. It seems to be a running theme 112 00:05:59,000 --> 00:06:01,680 Speaker 1: where we at with the bubble machines. Have not heard 113 00:06:01,760 --> 00:06:04,040 Speaker 1: much from the bubbler machine. We dropped that idea. Well 114 00:06:04,080 --> 00:06:07,400 Speaker 1: they don't work very well in these temps. Well, yeah, 115 00:06:07,440 --> 00:06:10,640 Speaker 1: I think they'd just be Yeah, they just did the 116 00:06:10,640 --> 00:06:12,680 Speaker 1: big into big ice balls, and I. 117 00:06:12,640 --> 00:06:14,160 Speaker 2: Can't believe the mayor didn't think about that. 118 00:06:15,720 --> 00:06:17,440 Speaker 1: By the way, I heard the I heard the ice 119 00:06:17,480 --> 00:06:21,280 Speaker 1: ball this year with a US Immigration and Custom sinforcement 120 00:06:21,360 --> 00:06:25,440 Speaker 1: was was rather successful. See what I did there. We'll 121 00:06:25,440 --> 00:06:27,280 Speaker 1: talk ice later on in the hour. My prediction. 122 00:06:27,400 --> 00:06:28,760 Speaker 2: I don't know where you went where you put the 123 00:06:28,800 --> 00:06:29,360 Speaker 2: walk a walk? 124 00:06:31,360 --> 00:06:34,520 Speaker 1: Yeah, the pages have gotten all. That's all kind of 125 00:06:34,600 --> 00:06:36,159 Speaker 1: it's kind of all. It's kind of all over here. 126 00:06:36,160 --> 00:06:37,840 Speaker 1: I'll do this for you. Hell yeah, do that one, 127 00:06:37,839 --> 00:06:40,280 Speaker 1: and we'll do that one and that one instead. I 128 00:06:40,320 --> 00:06:43,400 Speaker 1: do have an update. I was the nailed it yesterday. 129 00:06:43,720 --> 00:06:45,960 Speaker 1: I shared with you a couple of different immigration stories, 130 00:06:45,960 --> 00:06:47,960 Speaker 1: and I mentioned that it was an easy prediction, but 131 00:06:48,279 --> 00:06:51,240 Speaker 1: needless to say, I was right. I mentioned that both 132 00:06:51,240 --> 00:06:53,360 Speaker 1: of these stories were going to become points of controversy, 133 00:06:53,360 --> 00:06:56,960 Speaker 1: and they've become points of controversy, and we have further clarification. 134 00:06:57,480 --> 00:07:00,960 Speaker 1: We had the ice raid in Burnsville, we had the 135 00:07:01,000 --> 00:07:06,560 Speaker 1: Augsburg College situation, so we have continued controversy and clarity 136 00:07:06,640 --> 00:07:09,159 Speaker 1: on both of those issues. Coming up next, though, we'll 137 00:07:09,160 --> 00:07:13,119 Speaker 1: talk briefly before we laugh at Jasmine Crockett running for Senate. 138 00:07:14,560 --> 00:07:16,800 Speaker 1: She's already pulled down her launch video. I have the 139 00:07:16,840 --> 00:07:19,880 Speaker 1: audio to share with you. Coming up, we'll talk briefly 140 00:07:20,040 --> 00:07:25,960 Speaker 1: about the hostile takeover potentially of Warner Brothers Discovery. You 141 00:07:26,040 --> 00:07:29,559 Speaker 1: had Netflix saying that they were going to purchase Warner 142 00:07:29,600 --> 00:07:32,800 Speaker 1: Brothers Discovery for some eighty two billion. Now you have Paramount. 143 00:07:33,880 --> 00:07:37,760 Speaker 1: Paramount is challenging Netflix with a one hundred and eight 144 00:07:38,040 --> 00:07:41,840 Speaker 1: billion dollar hostile bid. There is a political angle on this, 145 00:07:43,520 --> 00:07:46,360 Speaker 1: and I know this because I was listening to one 146 00:07:46,400 --> 00:07:49,760 Speaker 1: of the podcasts that I listened to that are pop 147 00:07:49,800 --> 00:07:54,320 Speaker 1: culture related, movie related, and they were very very concerned 148 00:07:54,320 --> 00:08:00,440 Speaker 1: about Paramount taking over taking over Warner Brothers Discovery, very 149 00:08:00,560 --> 00:08:04,480 Speaker 1: very worried. They believe that would be a rubber stamp 150 00:08:04,880 --> 00:08:08,800 Speaker 1: for President Donald Trump type programming, wherein you have the 151 00:08:08,840 --> 00:08:11,280 Speaker 1: other take of people believing that Netflix will be the 152 00:08:11,280 --> 00:08:13,400 Speaker 1: complete opposite. So we're going to dive into that. I'll 153 00:08:13,400 --> 00:08:17,000 Speaker 1: share with you some details before we mock Jasmine Crockett 154 00:08:17,840 --> 00:08:19,960 Speaker 1: and we get to your comments as well. You can 155 00:08:20,000 --> 00:08:23,720 Speaker 1: email me Justice at iHeartRadio dot com and of course, 156 00:08:23,760 --> 00:08:26,120 Speaker 1: if you're listening on the iHeartRadio app, you can leave 157 00:08:26,200 --> 00:08:29,400 Speaker 1: us a talk back. Was brought to you by Lyndahl Realty, 158 00:08:29,520 --> 00:08:31,400 Speaker 1: and we will get to those coming up next right 159 00:08:31,440 --> 00:08:33,679 Speaker 1: here on Wednesday's news Talk Am eleven thirty and one 160 00:08:33,720 --> 00:08:36,360 Speaker 1: oh three five FM. Good Morning Trump, Good. 161 00:08:36,240 --> 00:08:37,679 Speaker 5: Morning, and I love your show. 162 00:08:42,480 --> 00:08:46,800 Speaker 1: Paramount sky Dance on Monday launched a hostel bid worth 163 00:08:46,920 --> 00:08:54,320 Speaker 1: one hundred and eight point four billion dollars average to 164 00:08:54,400 --> 00:08:59,559 Speaker 1: acquire Warner Brothers Discovery, challenging Netflix and the seventy two 165 00:08:59,600 --> 00:09:02,400 Speaker 1: billion I thought it was eighty two billion. Ah, give her, 166 00:09:02,600 --> 00:09:08,360 Speaker 1: what's ten billion? Dollars the seventy two billion takeover deal 167 00:09:08,360 --> 00:09:11,760 Speaker 1: with the company just announced a few days ago. Paramount 168 00:09:11,800 --> 00:09:15,800 Speaker 1: said yesterday that it was going right to Warner Brothers shareholders, 169 00:09:16,840 --> 00:09:21,120 Speaker 1: take our money with a thirty dollars per share in 170 00:09:21,280 --> 00:09:26,400 Speaker 1: cash offer for the entirety of Warner Brothers Discovery, including 171 00:09:26,440 --> 00:09:30,440 Speaker 1: its global networks segment, asking them to reject the deal 172 00:09:30,880 --> 00:09:34,320 Speaker 1: with Netflix. Now. That is the same bid that a 173 00:09:34,360 --> 00:09:38,400 Speaker 1: Warner Brothers rejected in favor of the offer from the 174 00:09:38,440 --> 00:09:43,079 Speaker 1: Netflix merger that would alter the US entertainment landscape. The 175 00:09:43,120 --> 00:09:45,760 Speaker 1: show continues for a Tuesday here on Twin City's News 176 00:09:45,760 --> 00:09:48,160 Speaker 1: Talk Am eleven thirty and one oh three five FM. 177 00:09:48,559 --> 00:09:51,040 Speaker 1: John Justice from the sixty five to one carpet plus 178 00:09:51,240 --> 00:09:53,840 Speaker 1: Next Day Install Studios, We've got bretton the Master control 179 00:09:53,840 --> 00:09:57,200 Speaker 1: booth this morning. Paramount criticized the offer from Netflix, saying 180 00:09:57,200 --> 00:10:02,400 Speaker 1: that it exposes the Warner Brothers Discovery shareholders to a protracted, 181 00:10:02,840 --> 00:10:09,640 Speaker 1: multi jurisdictional regulatory clearance process with an uncertain outcome, along 182 00:10:09,679 --> 00:10:15,040 Speaker 1: with a complex and volatile mix of cash and equity. 183 00:10:15,200 --> 00:10:20,480 Speaker 1: You're fascinating to talk to, okay, Paramount said had submitted 184 00:10:20,520 --> 00:10:23,280 Speaker 1: six proposal of proposals to Warner Brothers Discovery over the 185 00:10:23,280 --> 00:10:28,160 Speaker 1: twelve week period now on Friday, when Netflix struck the 186 00:10:28,160 --> 00:10:31,520 Speaker 1: deal to buy Warner Brothers Discovery, that's the Hollywood Giant 187 00:10:31,520 --> 00:10:35,280 Speaker 1: between Harry Potter, HBO Max. The cash and stock deal 188 00:10:35,400 --> 00:10:38,240 Speaker 1: is valued at about twenty seven dollars and seventy five 189 00:10:38,280 --> 00:10:42,120 Speaker 1: cents per Warner's share, unlike the paramount offer of thirty 190 00:10:42,160 --> 00:10:47,080 Speaker 1: dollars per share. Donald Trump said on Sunday that the 191 00:10:47,080 --> 00:10:49,920 Speaker 1: deals struck by Netflix to buy Warner Brothers Discovery could 192 00:10:49,920 --> 00:10:52,480 Speaker 1: be a problem because of the size of the combined 193 00:10:52,520 --> 00:10:56,679 Speaker 1: market share. So I'm listening to it's a podcast called 194 00:10:56,679 --> 00:11:00,520 Speaker 1: The Big Picture. Staunch lefties on here, right, but they're 195 00:11:00,559 --> 00:11:03,000 Speaker 1: really really dumb in terms of their politics. They don't 196 00:11:03,040 --> 00:11:07,280 Speaker 1: follow closely enough, So it's very much just surface level 197 00:11:07,800 --> 00:11:11,440 Speaker 1: commentary whatever it's kind of. It's the kind of commentary 198 00:11:11,480 --> 00:11:13,240 Speaker 1: you get from like Foe of the show Phil, who 199 00:11:13,280 --> 00:11:17,720 Speaker 1: just watches whatever liberal or outlet he chooses, like MSNBC 200 00:11:17,880 --> 00:11:20,160 Speaker 1: and at leaves talkbacks randomly that have nothing to do 201 00:11:20,240 --> 00:11:23,040 Speaker 1: with what I'm talking about on the show, regurgitating what 202 00:11:23,160 --> 00:11:28,400 Speaker 1: he watched from his media overlords on TV. So the 203 00:11:28,480 --> 00:11:31,920 Speaker 1: political take from the lefties on My Big Picture podcast 204 00:11:32,160 --> 00:11:37,560 Speaker 1: was you have the fact that they're worried Paramount would 205 00:11:37,600 --> 00:11:43,240 Speaker 1: be a Trump rubber stamp on future Paramount content. And 206 00:11:43,280 --> 00:11:45,679 Speaker 1: I think this is only stemming from the fact that 207 00:11:45,720 --> 00:11:49,480 Speaker 1: Paramount has a majority of the shows like the ones 208 00:11:49,520 --> 00:11:52,760 Speaker 1: that Taylor Sheridan rights Land Man, You've Got The King 209 00:11:52,800 --> 00:11:57,600 Speaker 1: of Tulsa. And these aren't even necessarily staunchly conservative shows. 210 00:11:57,640 --> 00:12:02,000 Speaker 1: They just they're not overtly shows. I think that I 211 00:12:02,080 --> 00:12:04,640 Speaker 1: think Taylor Sheridan happens to be a conservative, but it's 212 00:12:04,640 --> 00:12:07,320 Speaker 1: not like when you watch those shows, you're watching something. Hey, 213 00:12:07,360 --> 00:12:11,440 Speaker 1: this is quality family, conservative content, not even clothes. It 214 00:12:11,559 --> 00:12:14,480 Speaker 1: just doesn't have all the injection of the politics that 215 00:12:14,520 --> 00:12:17,280 Speaker 1: you typically see when it comes to Netflix. So apparently 216 00:12:17,360 --> 00:12:20,120 Speaker 1: liberals are very worried about Paramount taking over, even though 217 00:12:20,160 --> 00:12:24,600 Speaker 1: Paramount has vowed to release thirty films a year, wherein 218 00:12:24,840 --> 00:12:30,080 Speaker 1: immediately the conservative take of Netflix buying Warner Brothers and 219 00:12:30,200 --> 00:12:34,600 Speaker 1: Discovery would be this monopoly that would be formed, and 220 00:12:35,000 --> 00:12:43,439 Speaker 1: the Netflix wocification of exclusively streaming content destroying quality storytelling 221 00:12:46,320 --> 00:12:52,120 Speaker 1: on the big screen and little screen through overly politicized correctness, 222 00:12:52,440 --> 00:12:54,160 Speaker 1: and a lot of that is stemming from just what 223 00:12:54,240 --> 00:12:58,719 Speaker 1: we've seen Netflix produce over the years, and more specifically 224 00:12:58,800 --> 00:13:02,840 Speaker 1: the Obama's influence on a lot of the Netflix programming. 225 00:13:02,920 --> 00:13:05,640 Speaker 1: So I don't have a take either way on any 226 00:13:05,679 --> 00:13:09,400 Speaker 1: of this. I tend to sort of lean more towards 227 00:13:10,400 --> 00:13:12,640 Speaker 1: the free market when it comes to stories about how 228 00:13:12,679 --> 00:13:17,080 Speaker 1: this will shake out. The criticism of Netflix taking over 229 00:13:18,600 --> 00:13:23,120 Speaker 1: companies this large and creating this entertainment monopoly, I understand them, 230 00:13:23,640 --> 00:13:25,920 Speaker 1: and they're distressing for me as well with what we've 231 00:13:25,960 --> 00:13:29,199 Speaker 1: seen in terms of the again wocification of content created 232 00:13:29,240 --> 00:13:33,480 Speaker 1: by Netflix, but that has diminishing returns over a long 233 00:13:33,600 --> 00:13:37,360 Speaker 1: enough timeline. They have a new show up on the 234 00:13:37,400 --> 00:13:41,400 Speaker 1: example that everybody's pointing to right now, which I don't 235 00:13:41,400 --> 00:13:43,160 Speaker 1: know who's watching this, I guess if you want to 236 00:13:43,160 --> 00:13:46,080 Speaker 1: make yourself feel better as a white liberal. But there's 237 00:13:46,120 --> 00:13:47,800 Speaker 1: a series and I forgot what it's called, but there's 238 00:13:47,800 --> 00:13:50,800 Speaker 1: a series on Netflix right now that is about a 239 00:13:51,120 --> 00:13:57,120 Speaker 1: trans man coal miner. This will be a biological woman 240 00:13:57,200 --> 00:14:01,600 Speaker 1: identifying as a man who apparently were in the coal mines. However, 241 00:14:01,720 --> 00:14:07,880 Speaker 1: they have to navigate the overly conservative views of the 242 00:14:07,920 --> 00:14:12,400 Speaker 1: town of which the coal mine is supplying. The jobs 243 00:14:12,440 --> 00:14:18,760 Speaker 1: for Yeah, it sounds awful. It just it just sounds 244 00:14:18,960 --> 00:14:21,680 Speaker 1: it just sounds bad, and there's a point of diminishing return. 245 00:14:21,760 --> 00:14:24,200 Speaker 1: I mean, you may get an influx of individuals watching 246 00:14:24,200 --> 00:14:26,920 Speaker 1: that on the left who again want to make themselves, 247 00:14:27,120 --> 00:14:29,960 Speaker 1: make themselves feel better about themselves. But he that is 248 00:14:30,000 --> 00:14:32,160 Speaker 1: in May, You're not going to grab a wide audience 249 00:14:32,200 --> 00:14:36,000 Speaker 1: going and doing that. So certainly we'll be keeping an 250 00:14:36,000 --> 00:14:38,120 Speaker 1: eye on this story to see how things shake out. 251 00:14:38,160 --> 00:14:39,880 Speaker 1: I have no prediction on how this whole thing is 252 00:14:39,920 --> 00:14:42,080 Speaker 1: going to I don't think any of this is going 253 00:14:42,120 --> 00:14:45,120 Speaker 1: to get done for any you know, for a long 254 00:14:45,120 --> 00:14:48,080 Speaker 1: period of time, because there's going to be antitrust issues 255 00:14:48,520 --> 00:14:50,560 Speaker 1: regarding this. It's going to have to go through the 256 00:14:50,600 --> 00:14:53,680 Speaker 1: courts as people decide whether or not they are creating 257 00:14:53,680 --> 00:14:59,480 Speaker 1: a monopoly lot one hundred and eight billion dollars. It's 258 00:14:59,720 --> 00:15:03,320 Speaker 1: just again, we've lost we've lost all concept. When you 259 00:15:03,320 --> 00:15:05,360 Speaker 1: have deals like this that are making major headlines of 260 00:15:05,360 --> 00:15:09,040 Speaker 1: one hundred and eight billion dollars, it really does diminish 261 00:15:09,080 --> 00:15:11,800 Speaker 1: the ability, as we talked about on yesterday's show, to 262 00:15:12,040 --> 00:15:16,600 Speaker 1: really comprehend how much money that is. I mean, we're 263 00:15:16,640 --> 00:15:19,800 Speaker 1: still looking at the billions the one two to six 264 00:15:19,840 --> 00:15:22,520 Speaker 1: to eight billion in terms of fraud here in Minnesota. 265 00:15:22,600 --> 00:15:24,560 Speaker 1: When you combine that with a one hundred and eight 266 00:15:24,640 --> 00:15:29,040 Speaker 1: billion dollar bid for this entertainment company, it really diminishes 267 00:15:29,880 --> 00:15:32,240 Speaker 1: the fact that, you know, one billion dollars is still 268 00:15:32,280 --> 00:15:32,720 Speaker 1: a heck. 269 00:15:32,560 --> 00:15:33,360 Speaker 6: Of a lot of money. 270 00:15:33,760 --> 00:15:37,160 Speaker 1: All right, coming up, Jasmine Crockett is running for Senate. 271 00:15:39,080 --> 00:15:41,720 Speaker 1: We'll talk about this. We have some audio to share. 272 00:15:42,000 --> 00:15:47,200 Speaker 1: She launched her first promo video and then abruptly went 273 00:15:47,400 --> 00:15:49,480 Speaker 1: and took it down. I'll play for you the audio. 274 00:15:50,400 --> 00:15:53,120 Speaker 1: I'm gonna let you know, however, what this is before 275 00:15:53,160 --> 00:15:54,520 Speaker 1: I share it with you when we get to your 276 00:15:54,520 --> 00:15:56,320 Speaker 1: talkbacks coming up in just a moment here on Twin 277 00:15:56,320 --> 00:15:59,840 Speaker 1: City's News Talk. So the launch video for Jasmine Crocketts 278 00:16:00,040 --> 00:16:03,720 Speaker 1: Senate campaign. After the redistricting. She was being redistrict out 279 00:16:03,760 --> 00:16:05,560 Speaker 1: of her house seat, so she wants to maintain a 280 00:16:05,640 --> 00:16:07,720 Speaker 1: role in politics. She has to go and run for Senate. 281 00:16:07,920 --> 00:16:12,400 Speaker 1: So she uploaded this and then quickly deleted her launch video. 282 00:16:13,200 --> 00:16:16,160 Speaker 1: It's nothing more than a forty four second audio loop 283 00:16:16,240 --> 00:16:19,840 Speaker 1: of President Donald Trump calling her a low IQ person, 284 00:16:20,840 --> 00:16:25,400 Speaker 1: with Jasmine Crockett standing in profile, just a headshot until 285 00:16:25,440 --> 00:16:27,720 Speaker 1: the end of the forty four seconds is over. She 286 00:16:27,840 --> 00:16:31,720 Speaker 1: turns her face to the camera and like smiles, and 287 00:16:31,760 --> 00:16:35,840 Speaker 1: then then it shows her logo for Crockett for Senate campaign. 288 00:16:37,440 --> 00:16:41,520 Speaker 1: You know, in a staunchly conservative area where Trump won 289 00:16:41,600 --> 00:16:47,520 Speaker 1: by some fourteen points, it is a rather odd way 290 00:16:47,560 --> 00:16:52,480 Speaker 1: to approach your launching of your campaign by basically promoting 291 00:16:52,520 --> 00:16:55,720 Speaker 1: that you are the anti Trump. So here's the audio. 292 00:16:55,960 --> 00:16:57,760 Speaker 1: We'll get to your comments coming up next from the 293 00:16:57,760 --> 00:17:00,880 Speaker 1: iHeartRadio app here on Twinsday's news Time Game eleven thirty 294 00:17:00,880 --> 00:17:02,000 Speaker 1: and one to three five FM. 295 00:17:02,080 --> 00:17:04,680 Speaker 2: How about this new one. They have their new star, Crocket. 296 00:17:04,760 --> 00:17:05,399 Speaker 1: How about her? 297 00:17:06,480 --> 00:17:09,600 Speaker 5: She's a new star of the Democrat Party, Jasmine Crockett. 298 00:17:09,840 --> 00:17:13,760 Speaker 1: They're in big trouble, but you have this woman Crockett. 299 00:17:13,880 --> 00:17:15,639 Speaker 2: She's a very low IQ person. 300 00:17:15,680 --> 00:17:18,639 Speaker 1: It's just stay at the day. I'm not definitely a 301 00:17:18,680 --> 00:17:23,520 Speaker 1: low IQ person. Crocket. Oh man, oh man. 302 00:17:24,520 --> 00:17:26,640 Speaker 2: She's a very low IQ person. 303 00:17:28,320 --> 00:17:30,439 Speaker 1: Somebody said the other day she's one of the leaders 304 00:17:30,440 --> 00:17:33,880 Speaker 1: of the party. I said, you gotta be kidding. Now, 305 00:17:33,920 --> 00:17:36,679 Speaker 1: they're going to rely on Crockett. Crockett's gonna bring them bed. 306 00:17:37,119 --> 00:17:38,720 Speaker 1: Let's all about this. That's all. That's all that it 307 00:17:38,880 --> 00:17:40,919 Speaker 1: was until she turns to face the camera and her 308 00:17:40,960 --> 00:17:41,720 Speaker 1: logo pops up. 309 00:17:41,920 --> 00:17:48,080 Speaker 7: Shouldn't I understood what was kind of pushing them there? 310 00:17:48,760 --> 00:17:51,080 Speaker 7: And so I do want people to know that just 311 00:17:51,200 --> 00:17:54,080 Speaker 7: because someone has committed a crime, it doesn't make them 312 00:17:54,160 --> 00:17:58,840 Speaker 7: a criminal. That is completely different. Being a criminal is 313 00:17:58,920 --> 00:18:02,800 Speaker 7: more so about your mind. Say, committing a crime can 314 00:18:02,880 --> 00:18:04,160 Speaker 7: come for a lot of different reasons. 315 00:18:05,119 --> 00:18:08,639 Speaker 1: Yeah, Trump's not wrong when he says that she's a 316 00:18:08,760 --> 00:18:11,040 Speaker 1: low IQ individual. Let me put it this way though, 317 00:18:11,119 --> 00:18:14,119 Speaker 1: I mean, that's maybe that's an unfair assessment for Jasmine Crockett. 318 00:18:14,440 --> 00:18:17,000 Speaker 1: She just doesn't bother to educate herself. She doesn't care. 319 00:18:18,440 --> 00:18:21,560 Speaker 1: As I mentioned a moment ago, she is the equivalent 320 00:18:21,720 --> 00:18:26,200 Speaker 1: of your you know, your dfller, your Democrat just watches 321 00:18:26,359 --> 00:18:29,600 Speaker 1: the mainstream liberal news channels and just takes away whatever 322 00:18:29,640 --> 00:18:32,879 Speaker 1: they're told by the groups of individuals that are writing 323 00:18:32,960 --> 00:18:36,600 Speaker 1: the scripts in the production meetings that hand it over 324 00:18:36,760 --> 00:18:41,879 Speaker 1: to whatever the talking head is on MSNBC or CNN. 325 00:18:42,240 --> 00:18:45,959 Speaker 1: Like what she's saying here, being criminals about a mindset. 326 00:18:46,040 --> 00:18:48,440 Speaker 1: Committing a crime can come for a lot of different reasons. 327 00:18:48,760 --> 00:18:51,120 Speaker 1: This is just another angle of your your own God, 328 00:18:51,880 --> 00:18:57,520 Speaker 1: there are no set standards. Crime is flexible in terms 329 00:18:57,560 --> 00:18:59,600 Speaker 1: of whether or not it's right or wrong, depending on 330 00:18:59,680 --> 00:19:03,200 Speaker 1: what your motivation is. She's not very articulate in the 331 00:19:03,280 --> 00:19:06,760 Speaker 1: way that she presents this. Another problem that you have, though, 332 00:19:06,880 --> 00:19:08,760 Speaker 1: is the fact that she's on like some podcasts, this 333 00:19:08,960 --> 00:19:12,800 Speaker 1: is the uh and I'm looking at the mic, the 334 00:19:12,920 --> 00:19:16,040 Speaker 1: mic holder and the clip that I pulled for you 335 00:19:16,200 --> 00:19:21,320 Speaker 1: from Eric Daughtry on X from the Getting Better podcast 336 00:19:21,480 --> 00:19:23,440 Speaker 1: or whatever. The problem is there the host of the 337 00:19:23,480 --> 00:19:25,680 Speaker 1: podcast just for a non their head and goes, oh, yeah, 338 00:19:27,119 --> 00:19:31,640 Speaker 1: she has her Democrat identity privilege where people just don't 339 00:19:31,680 --> 00:19:33,560 Speaker 1: bother to question, They just go and take it at 340 00:19:33,920 --> 00:19:37,560 Speaker 1: face value. Jasmin Crockett did file paperwork to run for 341 00:19:37,640 --> 00:19:41,400 Speaker 1: the Democrat primary and the US Senate in Texas, facing 342 00:19:41,560 --> 00:19:45,920 Speaker 1: a Representative at James on tell A Rico and other candidates. 343 00:19:46,080 --> 00:19:49,480 Speaker 1: Crockett emphasized the importance of focusing on the general election 344 00:19:49,640 --> 00:19:52,840 Speaker 1: and increasing voter turnout to win in Texas. She's not wrong. 345 00:19:54,000 --> 00:19:57,280 Speaker 1: Crockett's decision to run for the Senate will leave behind 346 00:19:57,440 --> 00:20:01,840 Speaker 1: the thirtieth congressional district, with represent Mark Visa planning to 347 00:20:02,000 --> 00:20:05,160 Speaker 1: run in the newly drawn thirtieth district The Senate race 348 00:20:05,280 --> 00:20:07,560 Speaker 1: is expected to be one of the most expensive in 349 00:20:07,560 --> 00:20:10,600 Speaker 1: the twenty twenty six national cycle, with predictions of it 350 00:20:10,760 --> 00:20:18,960 Speaker 1: costing seven hundred and fifty million dollars. That's how much 351 00:20:19,000 --> 00:20:21,440 Speaker 1: it costs to get a hack like this elected in office. 352 00:20:22,280 --> 00:20:24,520 Speaker 1: Swin City's News Talking Am eleven thirty and one oh 353 00:20:24,560 --> 00:20:26,440 Speaker 1: three five FM from the sixty five to one Carbon 354 00:20:26,480 --> 00:20:28,440 Speaker 1: plus Next Day Install Studios. 355 00:20:29,880 --> 00:20:34,440 Speaker 4: Hi Dan from Texas. Hey, don't write off Jasmine yet. 356 00:20:35,160 --> 00:20:38,520 Speaker 4: There's a lot of Republicans who do not like Cornin, 357 00:20:39,600 --> 00:20:43,920 Speaker 4: and if he doesn't do something to get them out 358 00:20:44,160 --> 00:20:46,720 Speaker 4: come out to vote, we could end up with that 359 00:20:46,920 --> 00:20:47,360 Speaker 4: nut job. 360 00:20:47,680 --> 00:20:51,160 Speaker 1: Oh listen, I'm not riding off Jasmine Crockett. I think 361 00:20:51,200 --> 00:20:54,440 Speaker 1: the Democrats right now are experimenting, to be honest with you, 362 00:20:56,200 --> 00:20:58,800 Speaker 1: It kind of started with Kamala Harris replacing Joe Biden 363 00:20:58,920 --> 00:21:04,000 Speaker 1: last year, having Tim Jong Walls be the be the VP, 364 00:21:04,240 --> 00:21:06,040 Speaker 1: Like could they get away with it? And they didn't. 365 00:21:07,240 --> 00:21:10,200 Speaker 1: People saw through all of it to Trump one handily 366 00:21:10,359 --> 00:21:14,480 Speaker 1: that election. More recently, you look at the Tennessee District 367 00:21:14,600 --> 00:21:18,320 Speaker 1: race and the special election was that last week two 368 00:21:18,400 --> 00:21:21,000 Speaker 1: weeks ago, Aften being afton Bain. However, you want to 369 00:21:21,040 --> 00:21:26,480 Speaker 1: describe that nutbar Van Epps won handily, but aften Bean 370 00:21:26,560 --> 00:21:29,120 Speaker 1: did close the gap. I mean, I think Van Epps 371 00:21:29,200 --> 00:21:33,000 Speaker 1: won by like nine points, whereas prior that district had 372 00:21:33,040 --> 00:21:35,520 Speaker 1: gone to the Republican by twenty two. That's in large 373 00:21:35,560 --> 00:21:37,800 Speaker 1: part because of the money that was spent by Democrats 374 00:21:37,840 --> 00:21:41,840 Speaker 1: to go and discredit the Republican candidate without course correction 375 00:21:42,040 --> 00:21:44,840 Speaker 1: from Democrats, which I don't see happening. This is the 376 00:21:44,920 --> 00:21:48,200 Speaker 1: future of the Democrat Party and in the absence of 377 00:21:48,280 --> 00:21:52,920 Speaker 1: more qualified Democrat candidates hack like hacks like Jasmin Crockett 378 00:21:53,240 --> 00:21:57,679 Speaker 1: Aten Bean, they have an opportunity to win, and they 379 00:21:57,720 --> 00:22:03,560 Speaker 1: are hacks. Here's another clip from Crockett. I'll just go 380 00:22:03,640 --> 00:22:05,320 Speaker 1: ahead and play it without even setting it up. It 381 00:22:05,359 --> 00:22:06,159 Speaker 1: speaks for itself. 382 00:22:06,480 --> 00:22:13,120 Speaker 7: When Texas turns blue, it won't be because of any 383 00:22:13,200 --> 00:22:16,399 Speaker 7: one candidate, but because of each and every one of 384 00:22:16,480 --> 00:22:20,920 Speaker 7: you doing your part. Turning Texas blue is what I 385 00:22:21,040 --> 00:22:25,760 Speaker 7: want to talk to y'all about today. Now there are 386 00:22:25,800 --> 00:22:27,840 Speaker 7: those that say, ain't no way, we didn't try it 387 00:22:27,920 --> 00:22:30,800 Speaker 7: a fifty kinds of ways. Let me be clear, y'all, 388 00:22:30,800 --> 00:22:32,600 Speaker 7: ain't never tried at the jac way. 389 00:22:33,960 --> 00:22:37,440 Speaker 1: That's all she has This is part of her campaign announcement, 390 00:22:37,520 --> 00:22:42,240 Speaker 1: completely low energy, hardly anybody there. She's a product of 391 00:22:42,520 --> 00:22:48,400 Speaker 1: her social networking influencing. It's the only reason why she's popular. 392 00:22:48,520 --> 00:22:52,880 Speaker 1: It's not because of policy. No, she's an influencer. We've 393 00:22:52,920 --> 00:22:55,880 Speaker 1: shared the stories on the Air of individuals he used 394 00:22:55,880 --> 00:22:58,920 Speaker 1: to be with her campaign and how she really is 395 00:22:59,080 --> 00:23:02,040 Speaker 1: just ignorant to being a politician. She wants to be 396 00:23:03,080 --> 00:23:07,159 Speaker 1: a social media star politician more than she does actually 397 00:23:07,280 --> 00:23:09,600 Speaker 1: want to go and govern and help the people within 398 00:23:09,680 --> 00:23:12,639 Speaker 1: the area that she represents. And that's indicative in the 399 00:23:12,760 --> 00:23:16,600 Speaker 1: area she currently represents, because it's a mess there. But 400 00:23:16,760 --> 00:23:19,159 Speaker 1: that's not what her game is. Her game is what 401 00:23:19,280 --> 00:23:24,080 Speaker 1: you're hearing here, and this will continue. As I mentioned, 402 00:23:24,320 --> 00:23:28,160 Speaker 1: in the wake of not having other qualified Democrat candidates 403 00:23:28,200 --> 00:23:33,320 Speaker 1: step up. There's an interesting dichotomy between what I'm describing 404 00:23:33,400 --> 00:23:35,720 Speaker 1: here and what we're dealing with in terms of the 405 00:23:35,760 --> 00:23:39,200 Speaker 1: governor's race. And we'll talk about this after the discussion 406 00:23:39,359 --> 00:23:42,240 Speaker 1: with our adopted Senator from Wisconsin, Ron Johnson. There's a 407 00:23:42,280 --> 00:23:44,440 Speaker 1: piece in the Star Tribute this morning as they continue 408 00:23:44,720 --> 00:23:47,960 Speaker 1: to carry the water for Tim Walls talking about the 409 00:23:48,080 --> 00:23:53,240 Speaker 1: GOP candidates because none of them are really going and 410 00:23:53,440 --> 00:23:58,960 Speaker 1: igniting a large group of Republican voters on fire. And 411 00:23:59,040 --> 00:24:03,119 Speaker 1: that's more indicative of walls. That says more about Walls 412 00:24:03,119 --> 00:24:04,960 Speaker 1: than it does any of those candidates. And we'll get 413 00:24:05,000 --> 00:24:09,080 Speaker 1: into that later on. But in this case, you have 414 00:24:09,480 --> 00:24:12,959 Speaker 1: Democrats that are reluctant to go and challenge Jasmine Crockett, 415 00:24:13,000 --> 00:24:14,920 Speaker 1: even though I'm sure there are those that would love 416 00:24:14,960 --> 00:24:17,640 Speaker 1: to for the very reason that I just mentioned. She's 417 00:24:17,680 --> 00:24:22,960 Speaker 1: a social media star and a darling among ignorant Democrat 418 00:24:23,080 --> 00:24:25,920 Speaker 1: based voters who don't bother to look at the issues. 419 00:24:26,359 --> 00:24:29,479 Speaker 1: They're just enamored by the doing nothing with my fingers 420 00:24:29,640 --> 00:24:31,760 Speaker 1: star power that she represents. 421 00:24:33,440 --> 00:24:36,960 Speaker 7: We we used to telling us what I can't do, 422 00:24:37,760 --> 00:24:40,760 Speaker 7: but they have no idea what Crockett's crew will do. 423 00:24:42,359 --> 00:24:44,840 Speaker 7: So I just want to be clear, faull hate us 424 00:24:44,880 --> 00:24:47,800 Speaker 7: in the bank, listen up real loud. We gonna get 425 00:24:47,800 --> 00:24:48,480 Speaker 7: this thing done. 426 00:24:54,040 --> 00:24:55,639 Speaker 1: That's a lot of a lot of energy going on 427 00:24:55,760 --> 00:24:58,359 Speaker 1: in that room. Can they tell us that Texas is read? 428 00:25:01,080 --> 00:25:04,760 Speaker 1: They are lying? Okay? And how is she gonna do 429 00:25:04,840 --> 00:25:06,840 Speaker 1: with that all of that? She's just gonna do the 430 00:25:06,960 --> 00:25:10,840 Speaker 1: Jasmine Crockett way. That's how it would be like me 431 00:25:11,000 --> 00:25:12,840 Speaker 1: going on, I don't know it is for a bad example. 432 00:25:12,920 --> 00:25:14,920 Speaker 1: Maybe you don't even need the analogy because it's just 433 00:25:14,960 --> 00:25:19,160 Speaker 1: so obvious. But if somebody comes to me and be like, John, 434 00:25:19,200 --> 00:25:21,240 Speaker 1: how do we beat Governor Tim Walls next year? Depending 435 00:25:21,240 --> 00:25:23,040 Speaker 1: on the candidate? Well, you know what, guys, you just 436 00:25:23,080 --> 00:25:24,560 Speaker 1: got to do with the John Justice way. Well what 437 00:25:24,720 --> 00:25:26,119 Speaker 1: is that? Well, we're just gonna make sure that a 438 00:25:26,160 --> 00:25:28,879 Speaker 1: Republican wins. Well how are you gonna do that? Well, 439 00:25:28,920 --> 00:25:30,640 Speaker 1: we're gonna do it my way. Well how is that? Well, 440 00:25:30,680 --> 00:25:32,280 Speaker 1: you listen to me on the radio. You'll find out. 441 00:25:32,320 --> 00:25:37,720 Speaker 1: I wouldn't have any answers anymore than Jasmine Crockett does 442 00:25:37,760 --> 00:25:40,200 Speaker 1: at this point in time to the previous clip that 443 00:25:40,280 --> 00:25:43,960 Speaker 1: we shared. Oh actually I still have it up there. 444 00:25:43,960 --> 00:25:45,399 Speaker 1: I can go ahead and play it again for you. 445 00:25:45,480 --> 00:25:49,760 Speaker 7: Instood what was kind of pushing them there? And So 446 00:25:50,359 --> 00:25:52,679 Speaker 7: I do want people to know that just because someone 447 00:25:53,160 --> 00:25:55,480 Speaker 7: has committed a crime, it doesn't make them a criminal. 448 00:25:56,440 --> 00:25:59,879 Speaker 7: That is completely different. Being a criminal is more so 449 00:26:00,040 --> 00:26:04,000 Speaker 7: about your mindset. Committing a crime can come for a 450 00:26:04,040 --> 00:26:04,879 Speaker 7: lot of different reasons. 451 00:26:08,960 --> 00:26:12,840 Speaker 8: Hey, John, committing adulterate does not make you an adulterer. 452 00:26:13,640 --> 00:26:17,719 Speaker 8: Murdering someone does not make you a murderer. Deep Thoughts 453 00:26:18,160 --> 00:26:19,200 Speaker 8: by Jasmine Crockett. 454 00:26:21,680 --> 00:26:26,239 Speaker 5: Good morning, John and Brett. Any individual who comes up 455 00:26:26,280 --> 00:26:30,120 Speaker 5: with a statement as ridiculous as stating just because. 456 00:26:29,840 --> 00:26:33,639 Speaker 1: You commit a crime, you're not a criminal, should never. 457 00:26:33,880 --> 00:26:37,600 Speaker 5: Be allowed into political office and is representative of why 458 00:26:37,680 --> 00:26:40,120 Speaker 5: we should all be scared to death of the left 459 00:26:40,200 --> 00:26:44,480 Speaker 5: of center that is in our country. You commit a crime, 460 00:26:45,320 --> 00:26:49,200 Speaker 5: it is tangible. Is something that you have to be 461 00:26:49,320 --> 00:26:49,879 Speaker 5: punished for. 462 00:26:50,560 --> 00:26:51,000 Speaker 1: Period. 463 00:26:52,640 --> 00:26:57,040 Speaker 9: Hey John, you said that Jasmine Crockett needs to educate herself. 464 00:26:58,280 --> 00:27:00,360 Speaker 9: I think she's the first one to point out to people. 465 00:27:00,400 --> 00:27:02,320 Speaker 9: Do She's got a whole bunch of degrees no matter. 466 00:27:02,960 --> 00:27:05,840 Speaker 9: I think her issue, aside from needing to be as 467 00:27:05,920 --> 00:27:09,680 Speaker 9: far away from politics as possible, is she used to 468 00:27:09,760 --> 00:27:12,600 Speaker 9: live in reality world for a little bit. She needs 469 00:27:12,680 --> 00:27:16,760 Speaker 9: to put down the protest pamphlet and and just be 470 00:27:16,840 --> 00:27:17,800 Speaker 9: a normal human. 471 00:27:18,080 --> 00:27:19,200 Speaker 6: I don't think she can do that. 472 00:27:19,520 --> 00:27:21,679 Speaker 1: For the most part, it really depends on the person. 473 00:27:22,200 --> 00:27:24,800 Speaker 1: This is. This is a This is not a generalized 474 00:27:24,840 --> 00:27:27,120 Speaker 1: blanket statement that applies to everybody. Let me just say 475 00:27:27,160 --> 00:27:29,320 Speaker 1: that upfront. But for the most part, depending on who 476 00:27:29,359 --> 00:27:31,960 Speaker 1: the individual is, you can have an individual who racks 477 00:27:32,000 --> 00:27:33,520 Speaker 1: up a ton of degrees but is a complete and 478 00:27:33,560 --> 00:27:36,240 Speaker 1: total moron. We see this happen all the time. I 479 00:27:36,400 --> 00:27:39,159 Speaker 1: have a piece later on this morning from like the 480 00:27:39,280 --> 00:27:44,639 Speaker 1: political go to guy here in Minnesota and Minneapolis, and 481 00:27:44,720 --> 00:27:46,600 Speaker 1: it's a perfect example of you know, for a really 482 00:27:46,680 --> 00:27:50,200 Speaker 1: smart dude, you're still kind of a bias hack. I 483 00:27:50,240 --> 00:27:54,160 Speaker 1: went to the Academy of Radio Broadcasting. I didn't walk 484 00:27:54,240 --> 00:27:56,200 Speaker 1: out of there being an expert in radio. Did it 485 00:27:56,240 --> 00:27:56,879 Speaker 1: do me any good? 486 00:27:57,000 --> 00:27:57,040 Speaker 6: No? 487 00:27:57,200 --> 00:28:02,240 Speaker 1: Not really taught me a little tiny bit, but it 488 00:28:02,280 --> 00:28:06,080 Speaker 1: took hands on training. It really took teaching myself being 489 00:28:06,200 --> 00:28:09,280 Speaker 1: around individuals and watching other people and how they do 490 00:28:09,440 --> 00:28:11,760 Speaker 1: the work, and listening to those who'd been doing it 491 00:28:11,840 --> 00:28:13,600 Speaker 1: a lot longer than I did. I learned a lot 492 00:28:13,720 --> 00:28:17,240 Speaker 1: more by actually working in radio, just as an intern 493 00:28:17,320 --> 00:28:18,879 Speaker 1: and then a part timer, than I ever did at 494 00:28:18,920 --> 00:28:23,800 Speaker 1: the Academy of Radio Broadcasting. No, all that's happening here 495 00:28:23,920 --> 00:28:26,960 Speaker 1: is Jasmine Crockett is going and reaching out to the 496 00:28:27,119 --> 00:28:31,360 Speaker 1: lowest IQ Democrat based voters, speaking of which. 497 00:28:31,720 --> 00:28:34,159 Speaker 10: Hey, John and justice is to throw from etan prairie. 498 00:28:35,080 --> 00:28:36,919 Speaker 10: You know, I will be willing to put up one 499 00:28:37,040 --> 00:28:42,080 Speaker 10: hundred thousand dollars to have job Ben, Jasmin Crockett. 500 00:28:43,000 --> 00:28:45,360 Speaker 1: And your favorite red guy he's orange. 501 00:28:45,880 --> 00:28:51,560 Speaker 10: President Donnie Trump to take an IQ test. Would you 502 00:28:51,680 --> 00:28:52,480 Speaker 10: be willing to match that? 503 00:28:53,040 --> 00:28:57,400 Speaker 1: No, I'm not putting up what worlds? Yes, if I 504 00:28:57,440 --> 00:28:59,840 Speaker 1: had one hundred thousand dollars and we wanted to do 505 00:29:00,120 --> 00:29:03,920 Speaker 1: IIKU to Q tests of the two individuals, sure I'd go. 506 00:29:04,520 --> 00:29:05,760 Speaker 1: I would go ahead and put it on. I'm not 507 00:29:05,880 --> 00:29:08,920 Speaker 1: doing that, nor could you get either of them to agree? Yes, Brat, 508 00:29:09,000 --> 00:29:09,720 Speaker 1: would you like to OWAI in? 509 00:29:09,880 --> 00:29:11,840 Speaker 3: I mean, Phil, if you've got an extra one hundred 510 00:29:11,880 --> 00:29:14,440 Speaker 3: thousand line around, then there's that I'll take five or ten, 511 00:29:15,520 --> 00:29:19,000 Speaker 3: maybe twenty, just out of good charity, good will, redistribution 512 00:29:19,160 --> 00:29:19,560 Speaker 3: of wealth. 513 00:29:20,040 --> 00:29:23,320 Speaker 1: So, Phil, which is it? Is it that Jasmin Crockett 514 00:29:23,360 --> 00:29:25,600 Speaker 1: is an idiot and you also believe Trump is an idiot? 515 00:29:25,640 --> 00:29:27,600 Speaker 1: But you just think that Trump is a bigger low 516 00:29:27,680 --> 00:29:30,840 Speaker 1: IQ idiot than Jasmin Crockett Or do you actually genuinely 517 00:29:31,000 --> 00:29:35,880 Speaker 1: believe that Jasmin Crockett is an intelligent individual? There's another 518 00:29:35,920 --> 00:29:37,760 Speaker 1: clip from Jasmin Crockett recently. 519 00:29:37,960 --> 00:29:40,920 Speaker 7: Just this past week. I saw I don't remember which celebrity, 520 00:29:41,320 --> 00:29:42,960 Speaker 7: but it was actually a celebrity and I was like, 521 00:29:43,240 --> 00:29:45,120 Speaker 7: I don't know that that's not necessarily a bad idea, 522 00:29:45,480 --> 00:29:47,040 Speaker 7: but I'd have to think do it a lot. One 523 00:29:47,120 --> 00:29:48,920 Speaker 7: of the things that they proposed is black folk not 524 00:29:49,040 --> 00:29:51,320 Speaker 7: have to pay taxes for a certain amount of time, 525 00:29:51,400 --> 00:29:54,160 Speaker 7: because then again, that puts money back in your pocket. 526 00:29:54,560 --> 00:29:57,440 Speaker 7: But at the same time, it may not be as 527 00:29:57,520 --> 00:30:02,000 Speaker 7: objectionable to some people about actually giving out dollars. But 528 00:30:02,160 --> 00:30:04,640 Speaker 7: obviously then you start dealing with the different tax brackets 529 00:30:04,680 --> 00:30:07,240 Speaker 7: and things like that. And that's one of the reasons that, 530 00:30:07,680 --> 00:30:11,080 Speaker 7: you know, we argue that reparations makes sense because so 531 00:30:11,200 --> 00:30:13,920 Speaker 7: many black folk not only do you owe for the 532 00:30:14,000 --> 00:30:17,600 Speaker 7: labor that was stolen and killed and all the other things, right, 533 00:30:18,040 --> 00:30:20,200 Speaker 7: but the fact is like we end up being so 534 00:30:20,320 --> 00:30:22,880 Speaker 7: far behind, right, and so it's like, how do you 535 00:30:23,040 --> 00:30:26,680 Speaker 7: bring forest people exactly? And so it's like, if you 536 00:30:26,960 --> 00:30:29,640 Speaker 7: if you do the no tax thing for people that 537 00:30:30,040 --> 00:30:33,400 Speaker 7: are already say struggling and aren't really paying taxes in 538 00:30:33,440 --> 00:30:37,120 Speaker 7: the first place, it doesn't really exactly. 539 00:30:36,760 --> 00:30:38,920 Speaker 10: Maybe they may want those those checks like they got. 540 00:30:39,040 --> 00:30:45,680 Speaker 1: Exactly, why stopping no taxes for any one particular group, 541 00:30:45,720 --> 00:30:48,680 Speaker 1: you know? Why why not free housing for one particular group? 542 00:30:48,720 --> 00:30:48,880 Speaker 6: You know? 543 00:30:49,320 --> 00:30:53,200 Speaker 1: You know, why not more free groceries for one particular 544 00:30:55,200 --> 00:30:56,120 Speaker 1: meeting of the minds in. 545 00:30:56,120 --> 00:31:02,160 Speaker 11: That clip, I don't know if Jasmine Crockett is a 546 00:31:02,280 --> 00:31:05,720 Speaker 11: low IQ individual or whether or not she cares. 547 00:31:06,880 --> 00:31:07,000 Speaker 6: Well. 548 00:31:07,080 --> 00:31:11,520 Speaker 11: Let's be clear, Democrats don't have to be smart. They 549 00:31:11,880 --> 00:31:16,120 Speaker 11: just have to be good at using words to make 550 00:31:16,480 --> 00:31:22,920 Speaker 11: things sound like something when they're really meaningless or ridiculous. 551 00:31:23,800 --> 00:31:27,160 Speaker 1: Well, and it is a really good example of just 552 00:31:27,240 --> 00:31:31,800 Speaker 1: the state of the Democrat Party right now. They have 553 00:31:32,120 --> 00:31:37,120 Speaker 1: taken this approach of nothing but opposition to President Donald 554 00:31:37,120 --> 00:31:40,600 Speaker 1: Trump and Republicans, completely dismissed the issues, and then when 555 00:31:40,600 --> 00:31:43,000 Speaker 1: they talk about the issues, like with what Jasmine just 556 00:31:43,120 --> 00:31:47,160 Speaker 1: mentioned there about having to have the black community not 557 00:31:47,320 --> 00:31:50,400 Speaker 1: pay any taxes, there is no further thought to any 558 00:31:50,480 --> 00:31:53,680 Speaker 1: of that. They're just over the top, grandiose ideas, the 559 00:31:53,720 --> 00:31:56,840 Speaker 1: same type of stuff that Zokron Mom Donnie would go 560 00:31:57,200 --> 00:32:00,920 Speaker 1: and propose without any means to actually go and make 561 00:32:01,040 --> 00:32:04,240 Speaker 1: that happen. And unfortunately the base of voters for Democrats 562 00:32:05,040 --> 00:32:06,640 Speaker 1: are too stupid to go and see through it, and 563 00:32:06,720 --> 00:32:09,720 Speaker 1: they just lap it up. On top of that, you 564 00:32:09,840 --> 00:32:14,080 Speaker 1: have a whole crop of new voters, individuals reaching voting 565 00:32:14,160 --> 00:32:17,160 Speaker 1: age heading into their early twenties that have been indoctrinated 566 00:32:17,640 --> 00:32:21,760 Speaker 1: through what has arguably become the worst of our public 567 00:32:21,880 --> 00:32:25,040 Speaker 1: education system right now, with the amount of indoctrination that's 568 00:32:25,040 --> 00:32:29,800 Speaker 1: been taking place, who are susceptible to this type of 569 00:32:29,920 --> 00:32:36,640 Speaker 1: personality influencer, star politician who has no interest in discussing 570 00:32:36,840 --> 00:32:42,680 Speaker 1: the issues, seriously, grandiose ideas, and they're anti Trump. That's all, 571 00:32:42,720 --> 00:32:44,120 Speaker 1: that's all that they got. 572 00:32:44,760 --> 00:32:47,280 Speaker 6: Hey, John, I agree with him. I am an engineer 573 00:32:47,400 --> 00:32:51,120 Speaker 6: by degree, but I'll tell you what, from personal experience 574 00:32:51,480 --> 00:32:53,800 Speaker 6: working with a lot of people, some of the best 575 00:32:53,880 --> 00:32:57,560 Speaker 6: engineers I've met don't have an engineering degree. Just because 576 00:32:57,560 --> 00:32:59,640 Speaker 6: you've got a piece of paper and you're able to 577 00:32:59,640 --> 00:33:04,640 Speaker 6: pass a few exams doesn't make you a practicing individual 578 00:33:04,760 --> 00:33:06,560 Speaker 6: of that degree. Have a great day. 579 00:33:06,960 --> 00:33:14,520 Speaker 1: Christopher Nolan movie director, Batman Trilogy, Tenants, Oppenheimer, Interstellar, just 580 00:33:14,560 --> 00:33:15,200 Speaker 1: to name a few. 581 00:33:15,320 --> 00:33:15,440 Speaker 6: Right. 582 00:33:16,000 --> 00:33:18,880 Speaker 1: Arguably he's doing, Uh The Odyssey is his next big 583 00:33:18,920 --> 00:33:23,360 Speaker 1: movie coming out right Arguably one of the biggest directors 584 00:33:23,360 --> 00:33:29,400 Speaker 1: in Hollywood right now, ok, most well respected. Never had 585 00:33:29,440 --> 00:33:32,680 Speaker 1: any formal training in making movies, didn't go to college 586 00:33:32,720 --> 00:33:35,880 Speaker 1: for it. No, basically was was self taught. Just as 587 00:33:35,920 --> 00:33:38,160 Speaker 1: a just as a just as a case and case 588 00:33:38,200 --> 00:33:42,080 Speaker 1: in point there. I like me some Christopher Nolan. I 589 00:33:42,240 --> 00:33:42,760 Speaker 1: mostly do. 590 00:33:43,760 --> 00:33:47,160 Speaker 2: Sometimes it depends. I go to the theater and I 591 00:33:47,320 --> 00:33:48,800 Speaker 2: leave and I'm like, I don't know what. 592 00:33:48,840 --> 00:33:49,960 Speaker 1: I just watched? Can you pick? 593 00:33:50,040 --> 00:33:50,600 Speaker 2: Can you is there? 594 00:33:50,680 --> 00:33:52,800 Speaker 1: Is there one particular one I'm putting you on the spot, 595 00:33:52,840 --> 00:33:56,719 Speaker 1: but huh, Tenant Tenant? Tenant is a great watch if 596 00:33:56,760 --> 00:34:00,480 Speaker 1: you have subtitles on MMMM, because then you can actually 597 00:34:00,520 --> 00:34:05,240 Speaker 1: follow what's going on. Yeah. I loved the Batman trilogy. Yeah, 598 00:34:05,520 --> 00:34:09,800 Speaker 1: Fantastic Unbelieving, Yeah yeah. Inception is one of my favorite 599 00:34:09,880 --> 00:34:13,520 Speaker 1: films ever. Fantastic Tennant is a tough one. You gotta 600 00:34:13,520 --> 00:34:15,680 Speaker 1: watch it with subtitles on. Okay, maybe they'll have to 601 00:34:15,760 --> 00:34:17,960 Speaker 1: revisit because in the theater, I was like, what the hell? 602 00:34:18,040 --> 00:34:20,600 Speaker 1: I know, well, because Christopher Nolan does this thing and 603 00:34:20,640 --> 00:34:22,239 Speaker 1: I'm gonna wipe out all movies and I'm gonna make 604 00:34:22,280 --> 00:34:24,440 Speaker 1: that Friend of the Show upset. But Christopher Nolan does 605 00:34:24,520 --> 00:34:26,680 Speaker 1: this thing where he makes a word of a mainstream movie. 606 00:34:26,760 --> 00:34:29,720 Speaker 1: He makes all this money, and you know, gains more respect, 607 00:34:29,800 --> 00:34:31,399 Speaker 1: and then the studio says, you can go make whatever 608 00:34:31,440 --> 00:34:32,719 Speaker 1: you want. And then he goes and makes a movie 609 00:34:32,760 --> 00:34:34,880 Speaker 1: like ten, and then he goes back and does a 610 00:34:34,960 --> 00:34:37,240 Speaker 1: movie like the Oppenheimer. That's just kind of his hism 611 00:34:37,560 --> 00:34:39,319 Speaker 1: that's been going on in Hollywood forever. By the way, 612 00:34:39,360 --> 00:34:41,279 Speaker 1: Steven Spielberg, I think, was probably one of the first 613 00:34:41,320 --> 00:34:45,000 Speaker 1: directors to deploy that type of strategy. I'll make you 614 00:34:45,080 --> 00:34:47,680 Speaker 1: a you know, straightforward blockbuster. You're gonna make a ton 615 00:34:47,719 --> 00:34:50,600 Speaker 1: of money, but then I'm gonna go make Munich. It's 616 00:34:50,640 --> 00:34:54,200 Speaker 1: just kind of what Spielberg does, as I predicted yesterday. 617 00:34:54,239 --> 00:34:56,040 Speaker 1: We'll get back to more of your comments coming up 618 00:34:56,040 --> 00:34:59,080 Speaker 1: in just a moment. Series of incidents in evolving ICE 619 00:34:59,120 --> 00:35:02,319 Speaker 1: agents draw come planes from twin cities. I'm looking at 620 00:35:02,360 --> 00:35:05,920 Speaker 1: an article from Bring Me the News again. Two different 621 00:35:06,200 --> 00:35:12,560 Speaker 1: ICE Immigration Correction enforcement actions are gaining attention. The story 622 00:35:12,640 --> 00:35:16,799 Speaker 1: says reports include agents pointing guns at witnesses at Augsburg 623 00:35:16,920 --> 00:35:20,640 Speaker 1: University campus and breaking down a door to a Burnsville home. 624 00:35:20,680 --> 00:35:23,319 Speaker 1: These were both stories that we highlighted on yesterday show, 625 00:35:23,360 --> 00:35:27,080 Speaker 1: and I'll bring you the latest details regarding this. DHS 626 00:35:27,160 --> 00:35:30,439 Speaker 1: has come out as I suspected, and in the wake 627 00:35:30,520 --> 00:35:35,000 Speaker 1: of Augsburg University complaining about the ICE actions on campus, 628 00:35:35,440 --> 00:35:40,520 Speaker 1: DHS says the administrator tried to obstruct a man wanted 629 00:35:41,840 --> 00:35:45,319 Speaker 1: for detainment. That particular individual, by the way, was an 630 00:35:45,360 --> 00:35:50,120 Speaker 1: illegal alien sex offender. So details on this coming up. 631 00:35:50,120 --> 00:35:52,600 Speaker 1: We'll get to your talkbacks from the iHeartRadio app. Those 632 00:35:52,640 --> 00:35:57,120 Speaker 1: are brought to you by Lindahl Realty and from Caro Levin. 633 00:35:57,200 --> 00:36:01,680 Speaker 1: Lou Ragose has another report and a subsequent article from 634 00:36:01,760 --> 00:36:03,840 Speaker 1: Bill Glahn dove tailing off of it at center of 635 00:36:03,880 --> 00:36:07,640 Speaker 1: the American experiment regarding what we talked about extensively yesterday, 636 00:36:07,680 --> 00:36:10,200 Speaker 1: and that was the Star Tribunes report that they could 637 00:36:10,320 --> 00:36:12,760 Speaker 1: only come up with one hundred and fifty two million 638 00:36:13,239 --> 00:36:16,879 Speaker 1: technically in fraud that has taken place, not billions. Well, 639 00:36:16,920 --> 00:36:20,320 Speaker 1: both Bill Glon, Lure Goose and others, as we did yesterday, 640 00:36:20,440 --> 00:36:24,440 Speaker 1: pushedback with the facts regarding that particular issue. It's all 641 00:36:24,480 --> 00:36:27,640 Speaker 1: coming up ahead of my conversation with Wisconsin Senator Ron 642 00:36:27,719 --> 00:36:30,480 Speaker 1: Johnson at seven thirty here on Twinsday's News Talk Am 643 00:36:30,560 --> 00:36:32,719 Speaker 1: eleven thirty and one oh three five FM. They have 644 00:36:32,800 --> 00:36:35,320 Speaker 1: what's called a Trump derangement problem. 645 00:36:35,400 --> 00:36:36,680 Speaker 2: Have you heard about that problem?