1 00:00:00,120 --> 00:00:03,480 Speaker 1: Six one seven two six six sixty eight sixty eight 2 00:00:03,760 --> 00:00:09,000 Speaker 1: is the number Mary in Boston. Thanks for holding Mary, 3 00:00:09,119 --> 00:00:10,200 Speaker 1: and welcome. 4 00:00:11,320 --> 00:00:11,560 Speaker 2: Bev. 5 00:00:12,360 --> 00:00:15,800 Speaker 1: Hi, Jeff, Hi Mary, how are you hi? 6 00:00:16,920 --> 00:00:19,200 Speaker 3: I was just calling because I'm a nurse. I've been 7 00:00:19,200 --> 00:00:22,759 Speaker 3: a nurse for my thirty years. What's happening in the 8 00:00:22,760 --> 00:00:27,680 Speaker 3: healthcare doesn't surprise me. It's stemmed from during COVID when 9 00:00:27,760 --> 00:00:30,720 Speaker 3: nurses wouldn't get shot. So they asked about the COVID shot. 10 00:00:30,920 --> 00:00:34,760 Speaker 3: It was divided. So the whole issue of them doing 11 00:00:34,800 --> 00:00:39,360 Speaker 3: this stuff with the ice situation being divisive, like dividing 12 00:00:40,159 --> 00:00:44,120 Speaker 3: nurses and being you know, social justice warriors, that doesn't 13 00:00:44,159 --> 00:00:48,240 Speaker 3: surprise me. The M and A, for example, my friend 14 00:00:48,280 --> 00:00:50,320 Speaker 3: was telling me he was having a standout for the 15 00:00:50,400 --> 00:00:53,239 Speaker 3: guy that was shot. So I said, Lincoln Riley was 16 00:00:53,280 --> 00:00:56,280 Speaker 3: a nurse. Why wasn't anything brought up about Lincoln Riley 17 00:00:56,640 --> 00:01:02,200 Speaker 3: that was automatically shot down? So within a medical profession, 18 00:01:02,320 --> 00:01:07,240 Speaker 3: there's a lot of dividing when it comes to political issues. 19 00:01:07,480 --> 00:01:10,560 Speaker 3: And I took the oath. I took the you know, 20 00:01:11,520 --> 00:01:15,720 Speaker 3: hippocratic oath, and you know, we're supposed to be blind 21 00:01:16,240 --> 00:01:19,040 Speaker 3: when it comes to taking care of people. But now 22 00:01:19,080 --> 00:01:21,760 Speaker 3: it just seems like everything has to be political in 23 00:01:21,800 --> 00:01:23,840 Speaker 3: the medical field and it's getting out of hand. 24 00:01:25,000 --> 00:01:29,319 Speaker 1: Mary, I could not agree with you more. I'm a 25 00:01:29,400 --> 00:01:33,160 Speaker 1: huge admirer of nurses. They are not just compassionate. I 26 00:01:33,160 --> 00:01:38,639 Speaker 1: think they're super compassionate human beings, and they do incredible work, 27 00:01:38,840 --> 00:01:41,680 Speaker 1: absolutely incredible work. And by the way, I think nurses 28 00:01:41,720 --> 00:01:44,920 Speaker 1: are underpaid. I'm being serious. Whatever they make, they should 29 00:01:44,959 --> 00:01:49,120 Speaker 1: make a lot more. And I'm just surprised this is happening. 30 00:01:49,320 --> 00:01:54,080 Speaker 1: You're right, COVID I think was the trigger it's becoming politicized. 31 00:01:55,160 --> 00:01:57,600 Speaker 1: There's a nurse's union, now, what is it, over two 32 00:01:57,680 --> 00:02:01,400 Speaker 1: hundred thousand members that came out with an official statement 33 00:02:01,440 --> 00:02:04,480 Speaker 1: saying that nurses now at least in that union, are 34 00:02:04,520 --> 00:02:07,720 Speaker 1: calling for ice to be abolished. And I'm like, what 35 00:02:07,760 --> 00:02:10,040 Speaker 1: does this have to do with nursing and medical care 36 00:02:10,160 --> 00:02:14,799 Speaker 1: and taking care of patients. To me, a patient is 37 00:02:14,840 --> 00:02:18,880 Speaker 1: a human being. You don't judge them or don't have 38 00:02:18,960 --> 00:02:22,760 Speaker 1: a political purity test applied to them. You know, you 39 00:02:22,880 --> 00:02:27,160 Speaker 1: take care of them, whether they're conservative, liberal, Republican, Democrat, 40 00:02:27,760 --> 00:02:32,120 Speaker 1: voted for Trump, voted against Trump, Like, who cares? It's 41 00:02:32,160 --> 00:02:36,040 Speaker 1: a human being or she's a human being. That's all 42 00:02:36,080 --> 00:02:40,280 Speaker 1: that matters. But this is what I mean, Mary, it's 43 00:02:40,520 --> 00:02:42,840 Speaker 1: this when I talk about this evil in the air, 44 00:02:44,080 --> 00:02:50,960 Speaker 1: it's it's the polarization, the hatred, the division. We no 45 00:02:51,000 --> 00:02:55,160 Speaker 1: longer look forget looking at each other as fellow Americans citizens. 46 00:02:56,000 --> 00:02:57,760 Speaker 1: Now we don't even look at each other as fellow 47 00:02:57,840 --> 00:03:02,239 Speaker 1: human beings. And to me, that's very scary. Now, it's 48 00:03:02,240 --> 00:03:05,079 Speaker 1: not all nurses. I'm sure it's not even the majority 49 00:03:05,080 --> 00:03:08,720 Speaker 1: of nurses. I know, probably most nurses. You know find 50 00:03:08,720 --> 00:03:11,600 Speaker 1: what these nurses did, it did and what they're advocating 51 00:03:11,639 --> 00:03:17,079 Speaker 1: is being absolutely despicable and disgusting and abomination. But there's 52 00:03:17,120 --> 00:03:21,960 Speaker 1: more of these social justice warrior nurses out there. And 53 00:03:22,000 --> 00:03:24,919 Speaker 1: you know, by the way, Mary, you know, always from 54 00:03:24,960 --> 00:03:31,920 Speaker 1: the side that says compassion and tolerant. So what you 55 00:03:31,960 --> 00:03:35,600 Speaker 1: want to spike the drinks of ice agents? You want 56 00:03:35,600 --> 00:03:37,720 Speaker 1: to go to a rally with a syringe and a 57 00:03:37,760 --> 00:03:42,800 Speaker 1: needle and prick an ice agent with a paralytic that 58 00:03:42,880 --> 00:03:46,920 Speaker 1: could paralyze them and maybe even kill them. Or you 59 00:03:46,920 --> 00:03:49,720 Speaker 1: know Caroline Leavitt is getting pregnant, well, you know I 60 00:03:49,760 --> 00:03:53,360 Speaker 1: want her to get a tear from bow to stern. Shit, 61 00:03:53,600 --> 00:03:57,240 Speaker 1: never ever goes to the bathroom again. You know you'll 62 00:03:57,280 --> 00:04:03,560 Speaker 1: say that's a nurse Aya yai Mary. Final word to you. 63 00:04:04,320 --> 00:04:07,200 Speaker 3: And the other thing too, is when the whole Black 64 00:04:07,200 --> 00:04:10,960 Speaker 3: Lives Matter came about, people would wear pins. It's pride 65 00:04:11,000 --> 00:04:13,320 Speaker 3: maths Pride month. They want you to wear a pin. 66 00:04:14,040 --> 00:04:17,960 Speaker 3: The only time the opinions matter is when it's under 67 00:04:18,040 --> 00:04:21,719 Speaker 3: their ideology. If I wear a blue line mat, a 68 00:04:21,760 --> 00:04:27,000 Speaker 3: blue line pin, I am spoken to. I'm told I 69 00:04:27,000 --> 00:04:31,080 Speaker 3: can't wear it. It's offensive. If you bring up President 70 00:04:31,120 --> 00:04:34,880 Speaker 3: Trump facts when he got shot, I was disgusted. I 71 00:04:34,920 --> 00:04:39,040 Speaker 3: went into work that night and when president when President 72 00:04:39,080 --> 00:04:41,240 Speaker 3: Trump got shot, like I was in tears. I said, 73 00:04:41,279 --> 00:04:43,640 Speaker 3: we almost lost the president. Regardless of what you believe in, 74 00:04:43,720 --> 00:04:46,839 Speaker 3: you have to respect the office. You know, I never 75 00:04:46,880 --> 00:04:49,400 Speaker 3: wished a bed upon Joe Biden. He did stupid things, 76 00:04:49,400 --> 00:04:52,719 Speaker 3: but you respect the office. And to see nurses go 77 00:04:52,839 --> 00:04:54,840 Speaker 3: to the level of being like, well he deserved it 78 00:04:55,000 --> 00:04:58,320 Speaker 3: or you know he it was on him. It made 79 00:04:58,400 --> 00:05:01,159 Speaker 3: me sad because this isn't what America is. This isn't 80 00:05:01,200 --> 00:05:04,000 Speaker 3: what people fought for. This isn't what you go and 81 00:05:04,040 --> 00:05:06,839 Speaker 3: be a nurse for. It doesn't matter if you're pink yellow, blue, 82 00:05:06,880 --> 00:05:10,120 Speaker 3: gray doesn't matter. Right here, take care of people and 83 00:05:10,200 --> 00:05:12,919 Speaker 3: you basically God's work that people don't want to do. 84 00:05:13,279 --> 00:05:20,279 Speaker 1: Amen. Amen, Mary, that's disturbing. That's I didn't know. What 85 00:05:20,400 --> 00:05:23,400 Speaker 1: I didn't know is that widespread. I mean, I knew 86 00:05:23,400 --> 00:05:26,000 Speaker 1: there were problems, but I didn't know as that widespread. 87 00:05:27,600 --> 00:05:30,680 Speaker 1: That has no place in any profession, but especially the 88 00:05:30,760 --> 00:05:35,239 Speaker 1: medical nursing profession. Six one seven two six six sixty 89 00:05:35,240 --> 00:05:40,000 Speaker 1: eight sixty eight is the number. Okay. I want to 90 00:05:40,040 --> 00:05:43,080 Speaker 1: read to you a text that I got because it 91 00:05:43,200 --> 00:05:48,479 Speaker 1: is extremely profound and it explains so much of what 92 00:05:48,600 --> 00:05:52,240 Speaker 1: is happening, not just in Minneapolis obviously in Minnesota, but 93 00:05:52,360 --> 00:05:55,560 Speaker 1: really now in blue states and in the Democratic Party 94 00:05:55,600 --> 00:05:58,680 Speaker 1: and in our country overall. And it's from six to 95 00:05:58,680 --> 00:06:00,520 Speaker 1: oh three. By the way, you can text the Koonerman 96 00:06:00,680 --> 00:06:06,159 Speaker 1: seven zero four seven zero. Jeff. I wish I could 97 00:06:06,200 --> 00:06:09,320 Speaker 1: say that what we're seeing in Minneapolis is a surprise 98 00:06:09,400 --> 00:06:14,440 Speaker 1: to me, but it's not. And here's why. In August 99 00:06:14,720 --> 00:06:19,440 Speaker 1: twenty twenty, John Podesta, and by the way, he was 100 00:06:19,480 --> 00:06:25,200 Speaker 1: one of Obama's top political operatives, Okay, very close to 101 00:06:25,200 --> 00:06:29,599 Speaker 1: both Hillary and Obama. So you don't get closer to 102 00:06:29,640 --> 00:06:34,360 Speaker 1: these two than John Podesta. John Podesta in August of 103 00:06:34,400 --> 00:06:40,279 Speaker 1: twenty twenty penned a twenty two page article in The 104 00:06:40,360 --> 00:06:46,080 Speaker 1: New York Times and it was entitled Preventing a Disruptive 105 00:06:46,160 --> 00:06:50,640 Speaker 1: Presidential Election and Transition. Now this is the important part. 106 00:06:51,400 --> 00:06:56,360 Speaker 1: The article is essentially a war game, a master strategy 107 00:06:57,400 --> 00:07:02,440 Speaker 1: that lays out various scenarios and strategies if Trump was 108 00:07:02,560 --> 00:07:07,880 Speaker 1: ever to be re elected president again. In fact, it's 109 00:07:07,920 --> 00:07:14,480 Speaker 1: now become commonly known as the Pedesta Plan. The article 110 00:07:15,480 --> 00:07:20,800 Speaker 1: is a blueprint and a roadmap on how to carry 111 00:07:20,800 --> 00:07:27,760 Speaker 1: out a quote unquote color revolution in the United States 112 00:07:28,440 --> 00:07:36,320 Speaker 1: to overthrow an inevitable Trump administration. Because Pedestin knew that 113 00:07:36,440 --> 00:07:41,080 Speaker 1: the deportations of illegal aliens was a seminal issue that 114 00:07:41,120 --> 00:07:45,960 Speaker 1: Trump ran on, the article not only predicted the likelihood 115 00:07:46,040 --> 00:07:50,720 Speaker 1: of a shooting taking place related to deportations, but also 116 00:07:50,840 --> 00:07:53,960 Speaker 1: the need for such an incident so they would have 117 00:07:54,040 --> 00:07:58,240 Speaker 1: a hot topic issue to capitalize on, to stoke and 118 00:07:58,360 --> 00:08:06,000 Speaker 1: inflame the left into rising up nationally against Trump. They 119 00:08:06,040 --> 00:08:11,080 Speaker 1: are now putting the Podesta Plan into action, and it 120 00:08:11,160 --> 00:08:17,040 Speaker 1: is being followed to a tee. Anyone who has read 121 00:08:17,080 --> 00:08:23,920 Speaker 1: the plan recognizes what they're seeing Bingo Pedesta clearly laid 122 00:08:23,920 --> 00:08:27,320 Speaker 1: out and you're seeing it. This is exactly according to 123 00:08:27,360 --> 00:08:31,640 Speaker 1: his plan, everything that's happening. And they said, for this 124 00:08:31,880 --> 00:08:36,600 Speaker 1: to work, we need a dead body. We need, if 125 00:08:36,679 --> 00:08:41,680 Speaker 1: not one, preferably multiple dead bodies, and then will turn 126 00:08:41,760 --> 00:08:47,840 Speaker 1: these bodies into martyrs into heroes, and then we can activate. 127 00:08:47,880 --> 00:08:52,199 Speaker 1: Our organizers are funding our infrastructure, and we can go 128 00:08:52,280 --> 00:08:54,320 Speaker 1: out and take it to the streets. And once it 129 00:08:54,360 --> 00:08:57,480 Speaker 1: goes to the streets, our media allies will come to 130 00:08:57,600 --> 00:09:00,640 Speaker 1: our help, they'll come to our aid, and we can 131 00:09:00,679 --> 00:09:06,360 Speaker 1: then delegitimize, discredit, villify Trump, demonize him to such an 132 00:09:06,400 --> 00:09:11,400 Speaker 1: extent that the public will be thirsting to overthrow him 133 00:09:11,440 --> 00:09:16,160 Speaker 1: and his entire administration, in other words, blow up his presidency. 134 00:09:17,000 --> 00:09:21,239 Speaker 1: That's what we're watching. And one of the key players, 135 00:09:22,679 --> 00:09:28,280 Speaker 1: and this is to me, this is diabolical, is Elon. 136 00:09:29,360 --> 00:09:35,800 Speaker 1: Some people did something Omar Elan. Omar has been on 137 00:09:35,880 --> 00:09:41,280 Speaker 1: the front line executing the Podesta plan. She's been lying 138 00:09:41,360 --> 00:09:47,760 Speaker 1: about Ice. She relentlessly calls them Nazis, Gestapo. She's been 139 00:09:47,800 --> 00:09:53,200 Speaker 1: calling for the violent overthrow of the Trump administration. She 140 00:09:53,400 --> 00:09:56,440 Speaker 1: is calling for ICE to be abolished. She is the 141 00:09:56,559 --> 00:10:00,559 Speaker 1: point of the spear for all of those adju dictators 142 00:10:00,679 --> 00:10:06,360 Speaker 1: on the streets in Minneapolis. And I believe she staged 143 00:10:06,400 --> 00:10:10,640 Speaker 1: an incident. You ow my honest opinion. I think I'm 144 00:10:10,720 --> 00:10:15,760 Speaker 1: I with President Trump on this one thousand percent. I 145 00:10:15,920 --> 00:10:20,880 Speaker 1: believe she staged that attack on her. And so with 146 00:10:21,000 --> 00:10:26,200 Speaker 1: the national spotlight on her, on the massive fraud being 147 00:10:26,240 --> 00:10:31,880 Speaker 1: conducted by her and her Democrat operative husband, over thirty 148 00:10:32,000 --> 00:10:36,680 Speaker 1: million dollars in wealth overnight in one year, they found 149 00:10:36,679 --> 00:10:42,360 Speaker 1: a winery worth five million. I'm telling you it. It 150 00:10:42,400 --> 00:10:45,280 Speaker 1: hasn't made a bottle of wine, it hasn't sold a 151 00:10:45,320 --> 00:10:50,880 Speaker 1: bottle of wine, and you're five million dollars for a 152 00:10:50,920 --> 00:10:57,160 Speaker 1: non existent winery. They were laundering money. They were using 153 00:10:57,200 --> 00:11:00,920 Speaker 1: it as a shell company to launder money. It's so obvious. 154 00:11:02,040 --> 00:11:06,040 Speaker 1: So with Trump saying she's being actively investigated by the 155 00:11:06,080 --> 00:11:11,439 Speaker 1: Department of Justice, with now even the media sensing this 156 00:11:11,480 --> 00:11:15,880 Speaker 1: is a huge scandal, and with all of these unpleasant 157 00:11:15,920 --> 00:11:19,760 Speaker 1: truths about her coming up, all of a sudden, she 158 00:11:19,920 --> 00:11:24,320 Speaker 1: goes into a room in front of her supporters as 159 00:11:24,360 --> 00:11:31,480 Speaker 1: she's calling for ice to be abolished, some crazy fifty 160 00:11:31,559 --> 00:11:34,400 Speaker 1: five year old man out of the blue with a 161 00:11:34,440 --> 00:11:42,800 Speaker 1: syringe sprais her with a liquid roll cut eighteen. 162 00:11:42,800 --> 00:11:51,640 Speaker 3: Mike, Secretary Christinome must resign or face impeachment. 163 00:12:01,240 --> 00:12:01,680 Speaker 2: I don't know. 164 00:12:03,520 --> 00:12:14,480 Speaker 4: Oh my god, he's braying, no, we will no, no, no, 165 00:12:14,679 --> 00:12:17,600 Speaker 4: you need to we will continue this. 166 00:12:18,120 --> 00:12:23,000 Speaker 1: I'm okay. Now. So there's he's a crazy guy. He 167 00:12:23,040 --> 00:12:26,440 Speaker 1: looks insane, by the way, and it's a syringe and 168 00:12:26,480 --> 00:12:30,040 Speaker 1: he throws this sprays this liquid on her and it reeks. 169 00:12:30,120 --> 00:12:34,800 Speaker 1: It really smells, and so her security team are saying, 170 00:12:35,080 --> 00:12:37,240 Speaker 1: you got to get out of here at a bare minimum. 171 00:12:37,240 --> 00:12:40,199 Speaker 1: You gotta wash it off. You gotta wash it off. 172 00:12:40,400 --> 00:12:42,840 Speaker 1: You gotta go to the hospital. You have no idea 173 00:12:42,880 --> 00:12:45,840 Speaker 1: what he sprayed you with, and be what's it laced with? Like, 174 00:12:45,880 --> 00:12:48,000 Speaker 1: what the what the I mean? It could burn you, 175 00:12:48,080 --> 00:12:50,120 Speaker 1: it could be poison, it could be god knows what 176 00:12:50,160 --> 00:12:55,560 Speaker 1: it could be. Okay, no, no, no no. Elan Omar says, 177 00:12:56,320 --> 00:12:59,800 Speaker 1: I'm not gonna let this ef ing a hole. I 178 00:12:59,840 --> 00:13:01,720 Speaker 1: have to clean it up. I mean, she's got a 179 00:13:01,760 --> 00:13:05,040 Speaker 1: dirty mouth, this fing a hole. Get away with this. 180 00:13:05,440 --> 00:13:07,520 Speaker 1: I want to speak. I want to finish my speech. 181 00:13:09,240 --> 00:13:14,120 Speaker 1: And she insists, oh, I want to finish my speech. Now, 182 00:13:14,200 --> 00:13:17,680 Speaker 1: let me ask you if you're covered in some foreign 183 00:13:17,760 --> 00:13:24,120 Speaker 1: substance that some political enemy allegedly sprayed on you. You 184 00:13:24,160 --> 00:13:27,160 Speaker 1: wouldn't your first reaction like a get it off of me, 185 00:13:28,320 --> 00:13:32,319 Speaker 1: like a minimum and b let's go to the hospital 186 00:13:33,280 --> 00:13:35,280 Speaker 1: because I don't know. It may burn my face off. 187 00:13:35,320 --> 00:13:38,440 Speaker 1: Call me crazy. That's what I would do. That's what 188 00:13:38,520 --> 00:13:41,200 Speaker 1: Sandy would do. Mike said, that's what he would do. 189 00:13:41,679 --> 00:13:43,880 Speaker 1: That's what I think most normal people would do. No, 190 00:13:43,960 --> 00:13:49,000 Speaker 1: not her. She continues yaking. She's giving her speech. A 191 00:13:49,080 --> 00:13:52,880 Speaker 1: council member, Minnesota council member was there. She said that 192 00:13:52,960 --> 00:13:56,600 Speaker 1: it reeked so bad that she had to rush outside 193 00:13:56,679 --> 00:14:01,400 Speaker 1: and she vomited. That's how bad the smell was. But 194 00:14:01,600 --> 00:14:08,480 Speaker 1: elan omart that was no problem. It turns out it 195 00:14:08,600 --> 00:14:15,760 Speaker 1: was apple cider vinegar that was used. Apple cider vinegar. 196 00:14:15,960 --> 00:14:19,280 Speaker 1: In other words, it's completely harmless. I mean, you smell bad. 197 00:14:19,520 --> 00:14:24,560 Speaker 1: It's a horrible smell. Okay, it's a stench, stinks, but 198 00:14:24,760 --> 00:14:28,000 Speaker 1: you know, there's no harm, there's no danger, it doesn't 199 00:14:28,000 --> 00:14:34,320 Speaker 1: do anything. How did she know that? How did she 200 00:14:34,440 --> 00:14:40,840 Speaker 1: know that? And then right away she holds a press 201 00:14:40,880 --> 00:14:45,320 Speaker 1: conference afterwards, Trump did this to me. He wants to 202 00:14:45,320 --> 00:14:50,240 Speaker 1: be dead. He wants to kill me. That's just because 203 00:14:50,280 --> 00:14:56,120 Speaker 1: of him. Now she's the victim. Now, this Somali pirate 204 00:14:56,400 --> 00:15:00,440 Speaker 1: is the victim. And by the way, as all this 205 00:15:00,560 --> 00:15:06,640 Speaker 1: took place, Elano Mars so called five million dollar winery 206 00:15:08,000 --> 00:15:12,160 Speaker 1: vanishes without a trace. It's gone. I'm telling you it's gone. 207 00:15:12,400 --> 00:15:17,920 Speaker 1: The license gone, the registration for the business gone. There's 208 00:15:18,040 --> 00:15:21,040 Speaker 1: no footprint, no website, it's all gone. It's like it 209 00:15:21,120 --> 00:15:30,040 Speaker 1: never existed. I'm telling you was staged. I'm telling you 210 00:15:30,400 --> 00:15:34,520 Speaker 1: it was staged. Okay, that's just my honest opinion. And 211 00:15:34,640 --> 00:15:37,720 Speaker 1: so I want to ask you. It is the Kooner 212 00:15:37,840 --> 00:15:44,960 Speaker 1: Country Pole Question of the Day sponsored by Marios. Marios 213 00:15:45,240 --> 00:15:54,120 Speaker 1: Quality Roofing, Siding and Windows representative Elanomar did not stop 214 00:15:54,200 --> 00:15:57,440 Speaker 1: to seek medical attention or wash off a quote unquote 215 00:15:57,800 --> 00:16:01,720 Speaker 1: unknown substance sprayed on her during his Did she know 216 00:16:01,880 --> 00:16:08,640 Speaker 1: about it beforehand? Ayes b No. I am a yes 217 00:16:09,080 --> 00:16:11,600 Speaker 1: all the way, but I want to hear from you. 218 00:16:11,600 --> 00:16:15,320 Speaker 1: You can vote on our web page wrko dot com 219 00:16:15,320 --> 00:16:20,840 Speaker 1: slash cooner wrko dot com slash cooner kuh and is 220 00:16:20,880 --> 00:16:24,640 Speaker 1: in national Er or you can vote on x my handle. 221 00:16:24,680 --> 00:16:29,520 Speaker 1: There all one word at the Kooner Report at the 222 00:16:30,040 --> 00:16:34,200 Speaker 1: Cooner Report six one, seven two, six six sixty eight 223 00:16:34,360 --> 00:16:37,520 Speaker 1: sixty eight very quickly. This is from seven to eight one. 224 00:16:38,440 --> 00:16:43,520 Speaker 1: Regarding that, to me, clearly phony attack on Ilanomar anyway, 225 00:16:43,680 --> 00:16:47,560 Speaker 1: I think it was stage. Just my opinion, Jeff, it 226 00:16:47,680 --> 00:16:52,680 Speaker 1: was an unknown chemical attack. The room should have been cleared. 227 00:16:53,480 --> 00:16:58,800 Speaker 1: Yet she had no fear whatsoever. Staged. Oh yeah, to me, 228 00:16:58,880 --> 00:17:03,360 Speaker 1: it's it's scream staged. And just from this point forward, 229 00:17:03,400 --> 00:17:06,520 Speaker 1: if you don't mind the Great Cooner Country audience, you know, 230 00:17:06,560 --> 00:17:09,879 Speaker 1: I like to go, you know, elon, some people did something, 231 00:17:10,600 --> 00:17:13,439 Speaker 1: oh Marcus, that's what she said about the victims of 232 00:17:13,480 --> 00:17:16,119 Speaker 1: nine to eleven, the nine to eleven attacks. From this 233 00:17:16,280 --> 00:17:19,040 Speaker 1: point forward, my new line for her is going to 234 00:17:19,080 --> 00:17:27,040 Speaker 1: be elon, some people sprayed something, because that's she is 235 00:17:27,240 --> 00:17:33,800 Speaker 1: such a freaking fraud. It's unbelievable. Ken in New Hampshire, 236 00:17:34,080 --> 00:17:36,600 Speaker 1: thanks for holding Ken, and welcome. 237 00:17:38,200 --> 00:17:40,800 Speaker 2: Good morning, Jeff, great show, Thank you, Ken. You went 238 00:17:40,840 --> 00:17:43,720 Speaker 2: through so many things. And let me also advise people 239 00:17:43,760 --> 00:17:46,440 Speaker 2: who you were just listening to the auto of these 240 00:17:46,440 --> 00:17:50,879 Speaker 2: despicable people go onto YouTube and see their faces. There's 241 00:17:50,920 --> 00:17:54,040 Speaker 2: nothing more than the same. They're captured by the devil. 242 00:17:54,720 --> 00:17:58,919 Speaker 2: Now you need to find solutions, Jeff. This all is 243 00:17:58,960 --> 00:18:03,200 Speaker 2: centered around minnesot Ice Watch, which the two members who 244 00:18:03,840 --> 00:18:07,760 Speaker 2: died were part of Minnesota Ice Watch. Who's the primary 245 00:18:07,880 --> 00:18:11,080 Speaker 2: funder of Minnesota ice wach Well, that happens to be 246 00:18:11,520 --> 00:18:19,000 Speaker 2: Neville Roy Singham grew up in Middletown, Connecticut. He's holed 247 00:18:19,080 --> 00:18:23,560 Speaker 2: up now in Shanghai. What we are witnessing is the 248 00:18:23,560 --> 00:18:27,800 Speaker 2: biggest proxy war in the history of the world, between 249 00:18:28,119 --> 00:18:32,600 Speaker 2: the Trump administration and the CCP being played out to 250 00:18:32,680 --> 00:18:35,639 Speaker 2: try to destroy America. Now people won't believe this, but 251 00:18:35,720 --> 00:18:38,080 Speaker 2: ten years ago, what was the probability of our nation 252 00:18:38,400 --> 00:18:42,000 Speaker 2: falling apart compared to where it is tomorrow right now? 253 00:18:42,520 --> 00:18:45,960 Speaker 2: Guess what it was higher ten years ago. We've dodged 254 00:18:45,960 --> 00:18:48,760 Speaker 2: the boat so many times you can't imagine it. We 255 00:18:48,880 --> 00:18:51,920 Speaker 2: can dodge it again. Here's a simple example. Use the 256 00:18:51,960 --> 00:18:55,280 Speaker 2: Martin Luther King principle. Literally, this would stop with the 257 00:18:55,320 --> 00:18:59,359 Speaker 2: Normies right now. If you had twelve people standing in 258 00:18:59,400 --> 00:19:04,440 Speaker 2: front of an eye force simply singing, we shall overcome. 259 00:19:05,080 --> 00:19:08,120 Speaker 2: Any of them get hurt or killed, this is over. 260 00:19:12,160 --> 00:19:16,640 Speaker 1: Uh Kenna, You're You're dead on, You're dead on. If 261 00:19:16,680 --> 00:19:19,879 Speaker 1: this was if they were really interested in genuine, non 262 00:19:20,359 --> 00:19:27,120 Speaker 1: violent protest, non violent civil disobedience. And they do exactly 263 00:19:27,119 --> 00:19:30,760 Speaker 1: as you said, imitating Martin Luther King, and one Ice 264 00:19:30,800 --> 00:19:33,240 Speaker 1: agent touches a hair on their head. This thing is over. 265 00:19:34,160 --> 00:19:38,160 Speaker 1: The problem is it's the exact opposite. It's it's it's 266 00:19:38,240 --> 00:19:42,159 Speaker 1: not nonviolent, it's very violent. And it's not a protest. 267 00:19:42,760 --> 00:19:45,639 Speaker 1: It's an insurrection. As I said earlier, it's almost like 268 00:19:45,640 --> 00:19:49,800 Speaker 1: a military style operation. It's a coded it's a color 269 00:19:49,840 --> 00:19:54,040 Speaker 1: coded revolution. That's what we're watching. And I think you're 270 00:19:54,160 --> 00:19:58,600 Speaker 1: very perceptive when you say Singmann is funding this. He's 271 00:19:58,640 --> 00:20:02,080 Speaker 1: an agent of China. Waltz is helping to mastermind this, 272 00:20:02,560 --> 00:20:06,359 Speaker 1: He's an agent of China. No, the Chinese want to 273 00:20:06,440 --> 00:20:10,800 Speaker 1: see anarchy and chaos on our streets. They're making their 274 00:20:10,840 --> 00:20:15,000 Speaker 1: play to destroy America from within. And that's why I'm 275 00:20:15,040 --> 00:20:17,800 Speaker 1: telling President Trump this is not just a political problem 276 00:20:17,880 --> 00:20:22,159 Speaker 1: for you now. This is a national security threat and 277 00:20:22,200 --> 00:20:24,440 Speaker 1: it's got to be dealt with and treated that way. 278 00:20:25,520 --> 00:20:30,840 Speaker 1: Ken great call, Marlene in Waltham. Thanks for holding, Marlene, 279 00:20:31,119 --> 00:20:32,200 Speaker 1: and welcome. 280 00:20:33,480 --> 00:20:34,000 Speaker 2: Hi, Jeff. 281 00:20:34,119 --> 00:20:37,560 Speaker 5: Primary you said hi, you said, Supreme Court already have 282 00:20:37,680 --> 00:20:42,840 Speaker 5: two decisions yes on to do this. President Trump used 283 00:20:42,840 --> 00:20:43,440 Speaker 5: the law. 284 00:20:43,720 --> 00:20:44,240 Speaker 2: Use the law. 285 00:20:44,280 --> 00:20:46,399 Speaker 5: You didn't even have to do insurrection nothing. Use to 286 00:20:46,400 --> 00:20:51,520 Speaker 5: the law. And also, I'm suggesting, make be legal to 287 00:20:51,640 --> 00:20:56,600 Speaker 5: happen here twenty fifteen, ten years. Make them legal before 288 00:20:57,000 --> 00:20:59,359 Speaker 5: the midterm. 289 00:21:00,400 --> 00:21:03,919 Speaker 1: You're saying, what you want Trump to pass an amnesty. 290 00:21:04,720 --> 00:21:08,480 Speaker 5: Make them before the midterm. They've been here twenty years, 291 00:21:08,520 --> 00:21:10,720 Speaker 5: fifteen ten years. Make them legal. 292 00:21:11,800 --> 00:21:13,960 Speaker 1: And you're saying you think they'll be grateful to Trump 293 00:21:14,040 --> 00:21:16,320 Speaker 1: and then they'll vote Trump or they'll vote Republican. 294 00:21:17,480 --> 00:21:22,800 Speaker 5: Yes, there's hope. There's hope there. It changes the atmosphere. 295 00:21:23,640 --> 00:21:27,320 Speaker 5: It changes from hey, you're doing all this to illegals. No, 296 00:21:27,400 --> 00:21:30,920 Speaker 5: he's not. If any of those illegals have any criminality, 297 00:21:31,080 --> 00:21:33,440 Speaker 5: do not make them legal. I'm just saying that the 298 00:21:33,560 --> 00:21:36,719 Speaker 5: illegals that are have been here doing the work and 299 00:21:36,760 --> 00:21:37,280 Speaker 5: so forth. 300 00:21:37,640 --> 00:21:41,879 Speaker 1: That Marlene, I gotta tell you, I don't think they 301 00:21:41,880 --> 00:21:44,479 Speaker 1: would vote for Trump even if he could give him 302 00:21:44,480 --> 00:21:48,399 Speaker 1: an amnesty. By the way, Republicans wouldn't back it, and 303 00:21:48,440 --> 00:21:50,680 Speaker 1: I think his base would app In fact, I'm positive 304 00:21:51,119 --> 00:21:53,200 Speaker 1: his base would oppose it. So I don't even know 305 00:21:53,240 --> 00:21:56,720 Speaker 1: if it's politically feasible, but or doable. But let's just say, 306 00:21:56,760 --> 00:21:59,880 Speaker 1: for the sake of argument, I'm not so sure Marlene 307 00:21:59,880 --> 00:22:01,880 Speaker 1: that they would agree. You know, that they would reward 308 00:22:01,960 --> 00:22:05,280 Speaker 1: him with their support because a lot of them are 309 00:22:05,400 --> 00:22:09,960 Speaker 1: very dependent on government handouts and the party of big government, 310 00:22:10,119 --> 00:22:15,480 Speaker 1: that's that's the Democrats, not the Republicans. So I think 311 00:22:15,520 --> 00:22:19,120 Speaker 1: it would be illegal to give them amnesty. I think 312 00:22:19,119 --> 00:22:20,439 Speaker 1: it would blow up his base.