1 00:00:00,080 --> 00:00:01,760 Speaker 1: Thanks to all of you for being with us. Right 2 00:00:01,880 --> 00:00:04,800 Speaker 1: down our toll free telephone number if you want to 3 00:00:04,800 --> 00:00:06,200 Speaker 1: be a part of the program, it is eight hundred 4 00:00:06,240 --> 00:00:07,680 Speaker 1: and ninety four to one, Shawn, if you want to 5 00:00:07,760 --> 00:00:11,080 Speaker 1: join us. A lot of people now beginning to ask 6 00:00:11,160 --> 00:00:14,600 Speaker 1: about the midterm elections, and I do have some information 7 00:00:14,680 --> 00:00:20,279 Speaker 1: on it. I'll share with you. The midterms matter, and 8 00:00:20,640 --> 00:00:23,680 Speaker 1: I think that what we saw in the House yesterday, 9 00:00:23,760 --> 00:00:27,480 Speaker 1: which is House Republicans passing the say bakproof of citizenship 10 00:00:28,000 --> 00:00:30,440 Speaker 1: and voter ID, etc. Which we had spent a lot 11 00:00:30,480 --> 00:00:34,000 Speaker 1: of time talking about, or as Chucky Schumer referred to 12 00:00:34,000 --> 00:00:37,000 Speaker 1: as Jim Crow two point zero. I want all of 13 00:00:37,040 --> 00:00:40,640 Speaker 1: these these votes on the record. If Democrats want to 14 00:00:40,680 --> 00:00:44,479 Speaker 1: defund ice, I want that on the record. If the 15 00:00:44,479 --> 00:00:48,440 Speaker 1: Democrats want to defund dismantle no bail laws, reimagine the police, 16 00:00:48,440 --> 00:00:50,599 Speaker 1: I want all of that on the record. If they 17 00:00:50,600 --> 00:00:53,760 Speaker 1: want a wealth tax in California, I want all of 18 00:00:53,800 --> 00:00:56,360 Speaker 1: that on the record. If they want the Green New Deal, 19 00:00:56,440 --> 00:00:58,800 Speaker 1: you go fight for that Green New Deal all you want. 20 00:00:59,440 --> 00:01:03,880 Speaker 1: And they already voted for the largest tax cut in history, 21 00:01:03,960 --> 00:01:06,440 Speaker 1: and in doing so, voted for the largest tax increase 22 00:01:06,480 --> 00:01:10,880 Speaker 1: in history. And they voted against working men and working 23 00:01:11,080 --> 00:01:14,800 Speaker 1: women by not voting, you know, for no tax on 24 00:01:14,840 --> 00:01:17,560 Speaker 1: tips or overtime. They went against seniors with no tax 25 00:01:17,600 --> 00:01:21,680 Speaker 1: on social security. We know that Tamlo leads the way 26 00:01:21,840 --> 00:01:26,320 Speaker 1: the climate alarmist religious call to the Democratic Party, you know, 27 00:01:26,400 --> 00:01:29,679 Speaker 1: Jim Crow two point zero. Now Republicans in the House, 28 00:01:29,880 --> 00:01:33,560 Speaker 1: with their thin majority, got this over the finish line. 29 00:01:33,680 --> 00:01:37,399 Speaker 1: Now we have to get the Senate to force Democrats 30 00:01:37,440 --> 00:01:40,320 Speaker 1: to do a real filibuster. And that means that they're 31 00:01:40,319 --> 00:01:42,200 Speaker 1: going to have to take to the floor and talk 32 00:01:42,720 --> 00:01:46,920 Speaker 1: and talk and talk and talk. And I'd love to 33 00:01:46,959 --> 00:01:49,240 Speaker 1: see Chuck Schumer, you know, say over and over again, 34 00:01:49,320 --> 00:01:52,040 Speaker 1: Jim Crow two point zero. You know, it's interesting there 35 00:01:52,080 --> 00:01:56,120 Speaker 1: are parallels to this. If you go back to twenty 36 00:01:56,280 --> 00:02:02,480 Speaker 1: twenty one. In March, Georgia gouvern Brian Kemp signed Georgia's 37 00:02:02,560 --> 00:02:08,000 Speaker 1: voting reform bill into law, and at the time it 38 00:02:08,280 --> 00:02:11,919 Speaker 1: was compared to Jim Crow two point zero, and so 39 00:02:12,360 --> 00:02:14,240 Speaker 1: it's the same thing that happened back then. You might 40 00:02:14,280 --> 00:02:18,040 Speaker 1: remember the ramifications of this. Within hours, you know, you 41 00:02:18,080 --> 00:02:22,720 Speaker 1: had this massive surge of corporate criticism directed at Governor Camp. 42 00:02:23,120 --> 00:02:26,040 Speaker 1: Within days, major League Baseball moved the All Star Game 43 00:02:27,120 --> 00:02:32,920 Speaker 1: out of Georgia. You have big local businesses all Georgia based, 44 00:02:32,960 --> 00:02:37,280 Speaker 1: like Delta Airlines, Home Depot, even Porsche Cars North America. 45 00:02:37,320 --> 00:02:42,160 Speaker 1: The Atlanta Falcons criticizing the law. The corporate backlash served 46 00:02:42,200 --> 00:02:47,000 Speaker 1: as a supporting chorus of this insanity. Then President Joe 47 00:02:47,080 --> 00:02:50,800 Speaker 1: Biden called the Georgia election law Jim Crow in the 48 00:02:50,800 --> 00:02:57,520 Speaker 1: twenty first century and an atrocity. He went on to say. 49 00:02:56,120 --> 00:02:58,480 Speaker 2: That we'll be able to stop this because it is 50 00:02:58,560 --> 00:03:02,360 Speaker 2: the most pernicious thing. This makes Jim Crow look like 51 00:03:02,600 --> 00:03:06,880 Speaker 2: Jim Eagle. I mean, this is gigantic what they're trying 52 00:03:06,880 --> 00:03:10,480 Speaker 2: to do, and it cannot be sustained, and it's just 53 00:03:10,639 --> 00:03:11,120 Speaker 2: not right. 54 00:03:11,760 --> 00:03:13,840 Speaker 3: This is Jim Crow on steroids. 55 00:03:13,840 --> 00:03:17,320 Speaker 2: What they're doing in Georgia and forty other states. 56 00:03:17,480 --> 00:03:18,320 Speaker 1: What it's all about. 57 00:03:18,560 --> 00:03:23,920 Speaker 2: Imagine passing the law saying you cannot provide water or 58 00:03:23,960 --> 00:03:26,800 Speaker 2: food for someone standing in a line to vote. 59 00:03:27,120 --> 00:03:27,680 Speaker 4: Can't do that? 60 00:03:28,160 --> 00:03:29,680 Speaker 3: Come on, it is. 61 00:03:29,680 --> 00:03:32,040 Speaker 1: Reassuring to dismiss that. 62 00:03:32,080 --> 00:03:36,840 Speaker 2: Come on, Man for profit operations and businesses are speaking 63 00:03:36,920 --> 00:03:42,200 Speaker 2: up about how these new Jim Crow laws are just 64 00:03:42,640 --> 00:03:43,920 Speaker 2: anesthetical to who we are. 65 00:03:45,480 --> 00:03:49,680 Speaker 1: Jim Crow now just a little history that history matters. 66 00:03:49,720 --> 00:03:53,200 Speaker 1: That's the same guy that partnered with his pal, the 67 00:03:53,280 --> 00:03:58,240 Speaker 1: former klansman, the Graham Poobab, the ku Klux Klan and 68 00:03:59,200 --> 00:04:03,480 Speaker 1: you know West Virginia Senator Robert kkk Byrd, And they 69 00:04:03,520 --> 00:04:06,920 Speaker 1: wanted to prevent the integration of public schools. Oh that guy. 70 00:04:07,120 --> 00:04:08,960 Speaker 1: Oh he's going to a lecture us about Jim Crow 71 00:04:09,000 --> 00:04:12,800 Speaker 1: two point zero. The bill was never like that at all. 72 00:04:13,200 --> 00:04:17,719 Speaker 1: It was nothing but false hysteria and it created a 73 00:04:17,760 --> 00:04:20,520 Speaker 1: lot of economic fallout around the state. The governor did 74 00:04:20,560 --> 00:04:23,520 Speaker 1: the right thing. Governor Kemp did the right thing. You know, 75 00:04:23,640 --> 00:04:27,160 Speaker 1: he rightly pointed out they overplayed their hand. Few research 76 00:04:27,320 --> 00:04:33,360 Speaker 1: they've they've done research recently. It's been widely published. Eighty 77 00:04:33,400 --> 00:04:37,719 Speaker 1: three percent of Americans support voter id laws and in 78 00:04:37,760 --> 00:04:40,400 Speaker 1: some way, shape or form. And that includes seventy one 79 00:04:40,480 --> 00:04:44,160 Speaker 1: percent of Democrats, ninety five percent of Republicans, and that 80 00:04:44,200 --> 00:04:49,120 Speaker 1: includes all demographics. Hispanic Americans eighty percent, African Americans eighty percent. 81 00:04:49,680 --> 00:04:51,920 Speaker 1: So this argument that they make it, but this, this 82 00:04:52,040 --> 00:04:55,880 Speaker 1: is now, this is why I'm not in the place 83 00:04:55,920 --> 00:04:58,400 Speaker 1: where some people are well, look at this, Paul Hannity, 84 00:04:58,960 --> 00:05:03,000 Speaker 1: I'm worried about the mid it's February. It's too early 85 00:05:03,080 --> 00:05:05,520 Speaker 1: to worry about the midterms. I promise you we're gonna 86 00:05:05,520 --> 00:05:08,400 Speaker 1: spend a lot of time laying out the case and 87 00:05:08,440 --> 00:05:11,520 Speaker 1: how this is the biggest choice election, mid midterm election 88 00:05:11,640 --> 00:05:14,560 Speaker 1: year in our history. And you know, but now is 89 00:05:14,600 --> 00:05:17,680 Speaker 1: the time to get the Democrats on record for who 90 00:05:17,760 --> 00:05:21,719 Speaker 1: they really are. They voted for the largest tax increase 91 00:05:21,800 --> 00:05:26,640 Speaker 1: on history. They voted against working men and women by 92 00:05:26,720 --> 00:05:29,520 Speaker 1: not supporting no tax on tips. In overtime they worked 93 00:05:29,680 --> 00:05:34,320 Speaker 1: again seniors and in that case, you know, no tax 94 00:05:34,360 --> 00:05:37,960 Speaker 1: on Social Security. I mean, it's insane if you want 95 00:05:38,000 --> 00:05:42,719 Speaker 1: a real good snapshot of where we really are. Fourteen 96 00:05:42,800 --> 00:05:47,080 Speaker 1: house races, only fourteen are considered by the Cook Report 97 00:05:47,160 --> 00:05:50,239 Speaker 1: to be toss ups. You know, look at twenty eighteen, 98 00:05:50,279 --> 00:05:53,520 Speaker 1: it was seventy five races were viewed to be toss 99 00:05:53,600 --> 00:05:57,040 Speaker 1: ups depending on how redistricting and gerrymandering, which Democrats have 100 00:05:57,160 --> 00:05:59,680 Speaker 1: kind of mastered, you know, ends up. It'll be interesting 101 00:05:59,720 --> 00:06:04,040 Speaker 1: to see Doug shown writing in the Hill today contending 102 00:06:04,080 --> 00:06:07,159 Speaker 1: that Republican chances are a lot better than most observers think. 103 00:06:08,640 --> 00:06:11,800 Speaker 1: And I don't care if they wanted to be the 104 00:06:11,839 --> 00:06:16,039 Speaker 1: party that defunds ICE and Homeland Security and in the 105 00:06:16,080 --> 00:06:20,279 Speaker 1: process the TSA, which means there won't be flights in 106 00:06:20,360 --> 00:06:23,040 Speaker 1: America if they defund the TSA. There's only so long 107 00:06:23,160 --> 00:06:27,120 Speaker 1: TSA agents. And I've had good experience with TSA agents, Linda, 108 00:06:27,160 --> 00:06:28,960 Speaker 1: have you had good experience with them? I have had 109 00:06:29,040 --> 00:06:30,040 Speaker 1: very good experiences. 110 00:06:30,240 --> 00:06:30,599 Speaker 4: I have not. 111 00:06:32,200 --> 00:06:34,640 Speaker 1: But because it's you and it's like you just walk 112 00:06:34,720 --> 00:06:35,800 Speaker 1: around with an attitude. 113 00:06:35,920 --> 00:06:38,560 Speaker 3: First of all, I am not walking around with an attitude. 114 00:06:38,640 --> 00:06:41,000 Speaker 3: I have a reactive attitude, which means that if you 115 00:06:41,160 --> 00:06:43,279 Speaker 3: encourage it, I will react and give it to you. 116 00:06:43,360 --> 00:06:44,799 Speaker 3: Otherwise I'm perfectly fine. 117 00:06:44,920 --> 00:06:47,880 Speaker 1: Okay, So give me an example of like, for example, 118 00:06:48,080 --> 00:06:51,039 Speaker 1: what happened one day with TSA. They wanted to wand 119 00:06:51,080 --> 00:06:53,159 Speaker 1: you and you got all upset bet out of shape 120 00:06:53,160 --> 00:06:53,560 Speaker 1: about it. 121 00:06:54,080 --> 00:06:57,480 Speaker 3: No like stupid things like, for example, you go into 122 00:06:57,600 --> 00:07:00,600 Speaker 3: one line and they say, very simply, do not take 123 00:07:00,640 --> 00:07:02,880 Speaker 3: your shoes off, do not take your laptop out of 124 00:07:02,920 --> 00:07:05,680 Speaker 3: the bag. Okay, no problem. You go through the same 125 00:07:05,720 --> 00:07:08,880 Speaker 3: airport at the same time of day on the same 126 00:07:08,920 --> 00:07:11,400 Speaker 3: flight because I typically travel to the same places for work, 127 00:07:11,480 --> 00:07:14,840 Speaker 3: as you know, and they'll say take your shoes off, 128 00:07:15,200 --> 00:07:17,960 Speaker 3: separate it. What did I say? You got any devices? 129 00:07:18,080 --> 00:07:20,000 Speaker 3: Put it in a side? Well, I'm sorry. First of all, 130 00:07:20,040 --> 00:07:22,360 Speaker 3: have I committed a crime? Why are you yelling at me? 131 00:07:22,480 --> 00:07:25,000 Speaker 3: It is seven am? What has happened that you are 132 00:07:25,000 --> 00:07:28,480 Speaker 3: this bitter? It's not my fault. You work here. Okay, 133 00:07:28,760 --> 00:07:29,640 Speaker 3: That's what I don't like. 134 00:07:29,800 --> 00:07:33,080 Speaker 1: The problem is Linda's not keeping these thoughts inside. 135 00:07:34,320 --> 00:07:36,480 Speaker 3: You want to know what I say. I'm very sarcastic. Oh, 136 00:07:36,480 --> 00:07:39,040 Speaker 3: good morning, how are you today? Did you have coffee? 137 00:07:39,040 --> 00:07:41,560 Speaker 3: May I get you one? Perhaps that's the problem. Let's 138 00:07:41,560 --> 00:07:42,360 Speaker 3: work it out together. 139 00:07:43,920 --> 00:07:46,360 Speaker 1: Okay. And they think you got it. You're copying an attitude, 140 00:07:46,360 --> 00:07:49,160 Speaker 1: which you are. You're being sarcastic. I am, and you're 141 00:07:49,200 --> 00:07:50,120 Speaker 1: being Linda. 142 00:07:49,960 --> 00:07:53,600 Speaker 3: And it's earned. They deserve it. Now on the flip side, 143 00:07:53,640 --> 00:07:55,160 Speaker 3: when they're nice, you know. 144 00:07:55,120 --> 00:08:00,200 Speaker 1: Oh my god, but you well it doesn't matter or 145 00:08:00,280 --> 00:08:01,320 Speaker 1: I still get wanded. 146 00:08:01,640 --> 00:08:04,040 Speaker 3: You still get wanded, like, oh, shany Hannity, I watched 147 00:08:04,040 --> 00:08:05,720 Speaker 3: you last night. I's amazing. 148 00:08:06,480 --> 00:08:09,240 Speaker 1: Yeah, it's a completely different experience. Well, there are some 149 00:08:09,280 --> 00:08:12,200 Speaker 1: people that actually don't like me, and I get. 150 00:08:12,520 --> 00:08:14,120 Speaker 3: That's when you get the extra wanding. You go on 151 00:08:14,160 --> 00:08:15,440 Speaker 3: the back to like take your shirt off, what do 152 00:08:15,440 --> 00:08:16,000 Speaker 3: you got going on? 153 00:08:16,120 --> 00:08:18,680 Speaker 1: No, I use it for some reason. It's usually not me. 154 00:08:18,880 --> 00:08:22,240 Speaker 1: It's it's sweet baby James. He is a sign that 155 00:08:23,360 --> 00:08:26,520 Speaker 1: it just says, wand me, Wan me, wand me, because 156 00:08:27,440 --> 00:08:29,800 Speaker 1: you just have to leave another half hour just for 157 00:08:29,960 --> 00:08:32,320 Speaker 1: James to go through into the private room to get 158 00:08:32,400 --> 00:08:33,480 Speaker 1: you know, padded down. 159 00:08:33,840 --> 00:08:36,160 Speaker 3: If they only just leave them alone, he's not going 160 00:08:36,240 --> 00:08:37,839 Speaker 3: to bother anybody. 161 00:08:38,080 --> 00:08:40,120 Speaker 1: Oh, I don't know what it is. You know why, 162 00:08:40,120 --> 00:08:42,440 Speaker 1: because he looks like he's so checked out. He's like, 163 00:08:42,640 --> 00:08:45,280 Speaker 1: you know, he's in his own world. And so James 164 00:08:45,320 --> 00:08:49,560 Speaker 1: goes there laughing and he knows it's true. It says 165 00:08:49,640 --> 00:08:52,000 Speaker 1: won me on him. But anyway, if they want to 166 00:08:52,040 --> 00:08:55,440 Speaker 1: defund Department of Homeland Security, and they want to defund ICE, 167 00:08:55,520 --> 00:08:58,240 Speaker 1: and they want to you know, and with that FEMA 168 00:08:58,440 --> 00:09:02,719 Speaker 1: and with that he has and all these other government services, 169 00:09:03,160 --> 00:09:05,120 Speaker 1: I want them to take that stand, be who they 170 00:09:05,160 --> 00:09:08,240 Speaker 1: really are. Let the American people see it. If they 171 00:09:08,240 --> 00:09:10,760 Speaker 1: want to be the party a deep fund, dismantle and 172 00:09:10,800 --> 00:09:13,800 Speaker 1: no bail laws and reimagine the police, you be that party, 173 00:09:13,920 --> 00:09:16,200 Speaker 1: and you go out loud, and you go out proud, 174 00:09:16,559 --> 00:09:20,800 Speaker 1: be that party. You're ready on the wrong side of energy. 175 00:09:21,360 --> 00:09:23,400 Speaker 1: You know, look a look at the price of energy 176 00:09:23,520 --> 00:09:26,920 Speaker 1: under Donald Trump. The biggest tax cut for every single 177 00:09:26,960 --> 00:09:29,680 Speaker 1: American because everything you buy at every store you go 178 00:09:29,760 --> 00:09:32,160 Speaker 1: to is cheaper because it's cheaper to get it there 179 00:09:32,720 --> 00:09:36,280 Speaker 1: and produce it and manufacture it. Then we have trillions 180 00:09:36,280 --> 00:09:38,880 Speaker 1: of manufacturing. No other president got this kind of money 181 00:09:38,920 --> 00:09:41,960 Speaker 1: for manufacturing before. That's what Donald Trump's been doing and 182 00:09:42,000 --> 00:09:44,480 Speaker 1: ironically is turning out to be the peace president. Although 183 00:09:44,480 --> 00:09:48,560 Speaker 1: we are officially on a RAN watch, looks like they're 184 00:09:48,559 --> 00:09:53,199 Speaker 1: sending another a second carrier group to Iran, which might 185 00:09:53,320 --> 00:09:55,680 Speaker 1: mean that whatever they're planning might be bigger than what 186 00:09:55,760 --> 00:09:59,520 Speaker 1: they originally were planning. That's my interpretation of it, and 187 00:09:59,559 --> 00:10:02,280 Speaker 1: we'll get to later in the program. But just as 188 00:10:02,320 --> 00:10:06,199 Speaker 1: a midterm the predictions for the twenty eighteen style Democratic 189 00:10:06,280 --> 00:10:12,880 Speaker 1: landslide that Democrats had forty one House seats probably too optimistic, 190 00:10:13,480 --> 00:10:17,359 Speaker 1: you know. And even if you look at the ridiculously 191 00:10:17,679 --> 00:10:22,040 Speaker 1: abusively biased poll numbers of Donald Trump by the corrupt 192 00:10:22,080 --> 00:10:27,520 Speaker 1: legacy media, Democrats party favorability is thirty three percent, nine 193 00:10:27,559 --> 00:10:31,760 Speaker 1: points lower than Republicans, ten points lower than Trump's favorability. 194 00:10:31,760 --> 00:10:34,920 Speaker 1: According to Marquette Law School and their poll that came out, 195 00:10:35,240 --> 00:10:37,079 Speaker 1: and again, these are not polls that I trust. When 196 00:10:37,080 --> 00:10:38,960 Speaker 1: it comes to Donald Trump. Donald Trump is in a 197 00:10:38,960 --> 00:10:40,959 Speaker 1: class of his own. There's only like three or four 198 00:10:41,000 --> 00:10:44,320 Speaker 1: pollsters that have pulled him accurately throughout the years. In 199 00:10:44,360 --> 00:10:49,160 Speaker 1: twenty eighteen, the Cook Report identified seventy five competitive races 200 00:10:49,600 --> 00:10:53,920 Speaker 1: ahead of this year's midterms. It's only eighteen and so 201 00:10:54,040 --> 00:10:55,720 Speaker 1: we're just going to have to see what happens. It's 202 00:10:55,760 --> 00:10:58,640 Speaker 1: too early. New York Times is warning Democrats may be 203 00:10:58,760 --> 00:11:04,000 Speaker 1: swamped in the midterms by the GOP's massive campaign cash advantage. 204 00:11:04,360 --> 00:11:06,680 Speaker 1: And let me tell you, the Republican National Committee began 205 00:11:06,720 --> 00:11:09,080 Speaker 1: this year with nearly one hundred million more dollars than 206 00:11:09,120 --> 00:11:12,480 Speaker 1: the Democratic National Committee. And President Trump is sitting on 207 00:11:12,520 --> 00:11:16,080 Speaker 1: top of a superpack with more than three hundred million dollars, 208 00:11:16,120 --> 00:11:20,040 Speaker 1: a massive sum of money. And unfortunately, getting the message 209 00:11:20,040 --> 00:11:22,240 Speaker 1: out is half the battle. Getting the right candidates, that's 210 00:11:22,280 --> 00:11:25,800 Speaker 1: half the battle. And I think when America gets to 211 00:11:25,840 --> 00:11:28,520 Speaker 1: see what the choice is, the choice is going to 212 00:11:28,559 --> 00:11:32,319 Speaker 1: be fund Department of Homeland Security. That means fund TSA, 213 00:11:32,520 --> 00:11:39,360 Speaker 1: that means fund ICE, that means fund you know Linda's 214 00:11:39,360 --> 00:11:43,480 Speaker 1: favorite TSA agents. That means fun FEMA, you know, but 215 00:11:44,000 --> 00:11:46,480 Speaker 1: one point three trillion dollars. By the way, Donald Trump 216 00:11:46,480 --> 00:11:49,880 Speaker 1: and what the White House calls the largest deregulatory action 217 00:11:49,960 --> 00:11:53,320 Speaker 1: in American history. The EPA on Thursday repealed an Obama 218 00:11:53,360 --> 00:11:59,360 Speaker 1: era proclamation that has mandated greenhouse gas regulations for seventeen years, 219 00:11:59,440 --> 00:12:02,600 Speaker 1: and the endangerment finding that they had in two thousand 220 00:12:02,640 --> 00:12:05,440 Speaker 1: and nine has been the primary climate handbrake on American 221 00:12:05,440 --> 00:12:09,000 Speaker 1: industry and rescinding it as saving the American people one 222 00:12:09,080 --> 00:12:12,000 Speaker 1: point three trillion dollars in crushing regulations. I told you 223 00:12:12,080 --> 00:12:16,600 Speaker 1: this electric vehicle mandate. You know, Ford Motor Company lost 224 00:12:16,600 --> 00:12:20,720 Speaker 1: over five billion dollars. They lost twenty seven thousand dollars 225 00:12:20,760 --> 00:12:23,199 Speaker 1: per car that they produced last year. But they never 226 00:12:23,240 --> 00:12:26,679 Speaker 1: wanted to produce these cars ever. They didn't want to 227 00:12:26,720 --> 00:12:29,959 Speaker 1: produce them. Is you know, there are companies like Tesla 228 00:12:30,120 --> 00:12:32,720 Speaker 1: that are in the business of putting together electric cars. 229 00:12:33,679 --> 00:12:36,960 Speaker 1: So on every major issue. Look, if you want to 230 00:12:37,000 --> 00:12:40,400 Speaker 1: know what unbridled liberalism would look like, look a look 231 00:12:40,440 --> 00:12:44,960 Speaker 1: at California Number one in homelessness, poverty, addiction, gas prices 232 00:12:45,360 --> 00:12:48,719 Speaker 1: number one, state income tax number one, gas tax number one, 233 00:12:48,800 --> 00:12:52,079 Speaker 1: sales tax number one, budget deficit, number one, mass exodus 234 00:12:52,080 --> 00:12:54,760 Speaker 1: of citizens, you know, retail theft as long as you 235 00:12:54,800 --> 00:12:57,679 Speaker 1: don't take a thousand dollars even that surprise Gavin Newsom. 236 00:12:58,200 --> 00:13:00,719 Speaker 1: You know, they did great with COVID being number one 237 00:13:00,720 --> 00:13:03,920 Speaker 1: in school closures and business closures except the French laundry 238 00:13:03,920 --> 00:13:09,080 Speaker 1: and the schools that Gavin's children were attending. And they're 239 00:13:09,160 --> 00:13:13,040 Speaker 1: funding illegal migration. This state that takes in all of 240 00:13:13,040 --> 00:13:16,319 Speaker 1: this money and taxes. They can't balance their budget because 241 00:13:16,360 --> 00:13:19,360 Speaker 1: of all of the goods and services that they're giving 242 00:13:19,440 --> 00:13:22,480 Speaker 1: all of the illegals that flock to their sanctuary state. 243 00:13:23,200 --> 00:13:26,079 Speaker 1: And that means free education, free health care, medical is 244 00:13:26,160 --> 00:13:30,960 Speaker 1: going bankrupt. It just gets worse and worse and worse. Unbelievable. 245 00:13:31,120 --> 00:13:33,840 Speaker 1: We got a lot to talk about. We'll update you 246 00:13:33,920 --> 00:13:36,360 Speaker 1: on the Savannah Guthrie case. I'm going to give you 247 00:13:36,400 --> 00:13:38,719 Speaker 1: an example. Want to know why ice is important? An 248 00:13:38,720 --> 00:13:41,640 Speaker 1: illegal alien charge with the rape murder of a thirteen 249 00:13:41,720 --> 00:13:45,840 Speaker 1: year old boy facing nine additional child rape charges. Oh, 250 00:13:46,440 --> 00:13:49,000 Speaker 1: I guess ICE is doing a horrible job. They're finding 251 00:13:49,040 --> 00:13:51,760 Speaker 1: these people fighting. The illegal of Minnesota rammed his car 252 00:13:51,840 --> 00:13:54,800 Speaker 1: into an ICE vehicle while trying to evade arrest. I 253 00:13:54,880 --> 00:13:58,079 Speaker 1: doubt most people will hear about it in the legacy 254 00:13:58,160 --> 00:14:02,520 Speaker 1: media mob. An Obama judge ordered Ice to release three 255 00:14:02,600 --> 00:14:07,240 Speaker 1: convicted illegal alien murderers and a child sex predator. This 256 00:14:07,760 --> 00:14:10,120 Speaker 1: is the party you want to vote for. By the way, 257 00:14:10,120 --> 00:14:11,880 Speaker 1: did you hear it? Do you understand what this New 258 00:14:11,960 --> 00:14:15,600 Speaker 1: York Congressman Charles Baron is trying to say, Linda, did 259 00:14:15,640 --> 00:14:16,760 Speaker 1: you see this earlier today? 260 00:14:17,120 --> 00:14:19,360 Speaker 3: So it's interesting he actually said this a couple of 261 00:14:19,440 --> 00:14:21,560 Speaker 3: years ago, but it's making the rounds today, which I 262 00:14:21,560 --> 00:14:23,880 Speaker 3: thought was really interesting that what it was. Yeah, it 263 00:14:23,920 --> 00:14:26,800 Speaker 3: was so because I remembered hearing it and I saw Charles. 264 00:14:27,000 --> 00:14:27,920 Speaker 3: I thought he said it again. 265 00:14:27,960 --> 00:14:28,760 Speaker 1: I haven't heard from him. 266 00:14:28,880 --> 00:14:30,400 Speaker 3: Bananas. Anyways, we can remind the. 267 00:14:30,360 --> 00:14:34,080 Speaker 5: Audience I have the distinct honor to be able to 268 00:14:34,120 --> 00:14:38,120 Speaker 5: come before you and say I actually lost white population 269 00:14:38,320 --> 00:14:44,640 Speaker 5: in my community. I lost them. They left, they left. 270 00:14:45,480 --> 00:14:49,000 Speaker 5: I didn't ask them why they left. So if you 271 00:14:49,120 --> 00:14:51,800 Speaker 5: see one or two, or three or four or five 272 00:14:51,960 --> 00:14:55,360 Speaker 5: whites in my neighborhood, they are passing through. 273 00:14:57,880 --> 00:14:59,480 Speaker 1: But that's on a serious note. 274 00:14:59,520 --> 00:15:04,400 Speaker 5: We got thirteen thousand black elected officials in this country. 275 00:15:04,480 --> 00:15:07,240 Speaker 5: We've had may as, we've had governors, we have city 276 00:15:07,280 --> 00:15:08,200 Speaker 5: council members. 277 00:15:08,920 --> 00:15:14,200 Speaker 1: We need to get radical. Well, the party's gotten radical. 278 00:15:14,800 --> 00:15:17,440 Speaker 1: He was just ahead of his time, let's be honest 279 00:15:17,480 --> 00:15:19,600 Speaker 1: about it. I don't know if you saw the Did 280 00:15:19,600 --> 00:15:22,920 Speaker 1: you see this brawl that erupted in the Turkish parliament? Oh? 281 00:15:22,960 --> 00:15:26,280 Speaker 1: My goodness, I did not. Great. Oh man, you missed it. 282 00:15:26,920 --> 00:15:30,440 Speaker 1: Fake news. CNN has lost nearly two thirds of their 283 00:15:30,520 --> 00:15:36,000 Speaker 1: viewership since twenty sixteen. How do you lose two thirds 284 00:15:36,000 --> 00:15:39,160 Speaker 1: of your audience? Well, I guess I could always get 285 00:15:39,160 --> 00:15:41,760 Speaker 1: an expert like Jimmy Kimmel or Stephen Colbert, Right, I 286 00:15:41,800 --> 00:15:46,640 Speaker 1: can ask them. A mother helping her daughter make f 287 00:15:46,800 --> 00:15:49,760 Speaker 1: ice signs, did you see that? Tell it? 288 00:15:49,840 --> 00:15:50,000 Speaker 5: Man? 289 00:15:50,440 --> 00:15:54,000 Speaker 3: My blood was boiling. I'm like, we're teaching our kids 290 00:15:54,000 --> 00:15:56,280 Speaker 3: to be respectful and not use that kind of language. 291 00:15:56,280 --> 00:15:58,720 Speaker 3: She's like, yeah, let's use that language. Let's draw it 292 00:15:58,760 --> 00:16:00,760 Speaker 3: in big bold letters, and then we'll call it in together. 293 00:16:01,800 --> 00:16:02,360 Speaker 1: Mm hmmm. 294 00:16:03,280 --> 00:16:03,520 Speaker 3: Uh. 295 00:16:03,800 --> 00:16:07,600 Speaker 1: It was very interesting. I think Ron DeSantis is right. 296 00:16:07,960 --> 00:16:12,120 Speaker 1: He's he's at least number one in my mind in 297 00:16:12,160 --> 00:16:14,400 Speaker 1: my home state as the best governor in the country, 298 00:16:14,400 --> 00:16:17,280 Speaker 1: and I would say a very very close second is 299 00:16:17,320 --> 00:16:20,040 Speaker 1: Greg Abbott. They're my two favorite governors. Do you have 300 00:16:20,040 --> 00:16:20,640 Speaker 1: two favorites? 301 00:16:21,400 --> 00:16:23,800 Speaker 3: Hmm, that's a good, good question. 302 00:16:23,880 --> 00:16:28,360 Speaker 1: I would say Tim definitely, I would say for I 303 00:16:28,360 --> 00:16:32,440 Speaker 1: would say for you, Gavin Hocal tampon. 304 00:16:32,080 --> 00:16:34,560 Speaker 3: Tim h Shapiro too that you can add him up there. 305 00:16:34,560 --> 00:16:35,600 Speaker 3: He's another scumbag. 306 00:16:36,120 --> 00:16:40,280 Speaker 1: He's another one trying to, you know, dramatically move left 307 00:16:40,320 --> 00:16:42,240 Speaker 1: because he wants to get the nomination. You can tell 308 00:16:42,320 --> 00:16:47,880 Speaker 1: he's running gross or he's thinking of running. You know, 309 00:16:47,920 --> 00:16:50,320 Speaker 1: it turned out to be your best politician. 310 00:16:50,360 --> 00:16:55,200 Speaker 3: And I know it's shocking. Fetterman is better than most Republicans. 311 00:16:55,560 --> 00:16:59,000 Speaker 3: That's what's scary. You know what Fetterman is. He justman 312 00:16:59,240 --> 00:17:02,640 Speaker 3: is just no bs, no nonsense. This is what it is. 313 00:17:02,680 --> 00:17:04,360 Speaker 3: Every once in a while he loses me. I think 314 00:17:04,359 --> 00:17:07,320 Speaker 3: he should wear pants and stop wearing basketball shorts to Congress. 315 00:17:07,320 --> 00:17:09,720 Speaker 3: I think that's weird. I am mind the sweatshirt, but 316 00:17:09,760 --> 00:17:11,960 Speaker 3: the pants are cares I care? 317 00:17:12,040 --> 00:17:15,280 Speaker 1: I don't need to see. I thought it was a 318 00:17:15,280 --> 00:17:15,919 Speaker 1: pair of pants on. 319 00:17:16,080 --> 00:17:18,400 Speaker 3: I mean, my god, what him. 320 00:17:18,280 --> 00:17:19,640 Speaker 1: Were already wants? What do you care? 321 00:17:19,800 --> 00:17:22,080 Speaker 3: Okay, that's going to be the new rule. If there's 322 00:17:22,119 --> 00:17:25,520 Speaker 3: no decorum, if there's no benchmark, if there's no stop, 323 00:17:25,880 --> 00:17:26,399 Speaker 3: I'm sorry. 324 00:17:26,480 --> 00:17:26,880 Speaker 1: Come on. 325 00:17:27,000 --> 00:17:29,119 Speaker 3: I like him and like what he says, just. 326 00:17:29,119 --> 00:17:31,119 Speaker 1: Like we have the first lady on the program today. 327 00:17:31,200 --> 00:17:34,280 Speaker 1: I love her style, I love her attention to detail. 328 00:17:34,400 --> 00:17:35,600 Speaker 1: I went to see the movie. 329 00:17:35,520 --> 00:17:37,520 Speaker 3: Money, like I don't know, workout pants. 330 00:17:38,080 --> 00:17:39,840 Speaker 1: You know when the last time I went to a 331 00:17:39,920 --> 00:17:44,080 Speaker 1: movie and the movie theater was packed and everybody clapped 332 00:17:44,119 --> 00:17:47,520 Speaker 1: at the end. You never see that in a movie. Now, 333 00:17:47,560 --> 00:17:51,679 Speaker 1: the critics like they just trashed the documentary. It's like 334 00:17:51,720 --> 00:17:54,200 Speaker 1: the best one in two decades. It's incredible in terms 335 00:17:54,240 --> 00:17:57,159 Speaker 1: of box office success. Their book was number one two, 336 00:17:58,080 --> 00:18:01,040 Speaker 1: and I learned so much in that movie. And it's 337 00:18:01,119 --> 00:18:03,919 Speaker 1: kind of cool to go behind the scenes and just 338 00:18:03,960 --> 00:18:06,840 Speaker 1: see the twenty days leading up to the inauguration. She's 339 00:18:06,960 --> 00:18:09,040 Speaker 1: very and out impluent. What's up? 340 00:18:09,280 --> 00:18:10,400 Speaker 3: He's very likable. 341 00:18:11,640 --> 00:18:16,680 Speaker 1: Okay, Now, certainly Donald Trump is into wearing ties. I'd 342 00:18:16,800 --> 00:18:18,600 Speaker 1: rather never wear a tie as long as I live, 343 00:18:19,720 --> 00:18:24,639 Speaker 1: but I respect it. Fireworks on Capitol Hill today we 344 00:18:24,680 --> 00:18:29,280 Speaker 1: had Keith Ellison, you know, and Josh Holly going at it. Well. 345 00:18:29,280 --> 00:18:31,600 Speaker 1: By the way, why did ram Paul try to stop that? 346 00:18:31,960 --> 00:18:35,280 Speaker 1: Why did he inject himself into that? That made no 347 00:18:35,320 --> 00:18:38,320 Speaker 1: sense to me at all. Anyway, Josh Holly going after 348 00:18:38,400 --> 00:18:43,679 Speaker 1: the Minnesota Attorney General Keith Ellison during a hearing for 349 00:18:43,840 --> 00:18:48,959 Speaker 1: having accepted campaign donations from fraudsters in his state, telling 350 00:18:49,080 --> 00:18:51,679 Speaker 1: the accused AG at one point, you ought to be 351 00:18:51,760 --> 00:18:53,239 Speaker 1: in jail. Let's listen to some of this. 352 00:18:54,400 --> 00:18:54,600 Speaker 5: You know. 353 00:18:54,680 --> 00:18:56,760 Speaker 6: The other thing is stistle blowers came to you as 354 00:18:56,800 --> 00:18:59,719 Speaker 6: early as twenty nineteen. Let's look as early as two 355 00:18:59,720 --> 00:19:02,920 Speaker 6: thousand nineteen. Whistle blit. Don't talk over me early talking 356 00:19:02,960 --> 00:19:06,399 Speaker 6: about in nineteen. It's my hearing pal. As early as 357 00:19:06,600 --> 00:19:10,160 Speaker 6: twenty nineteen, don't come. Whistleblowers came to Well, I should 358 00:19:10,160 --> 00:19:11,639 Speaker 6: call you prisoner because you ought to be in jail. 359 00:19:11,680 --> 00:19:12,680 Speaker 1: Well, see what you get. 360 00:19:12,680 --> 00:19:16,800 Speaker 6: In twenty nineteen, whistleblowers came to you in your office 361 00:19:17,160 --> 00:19:20,280 Speaker 6: and referred to you fraud allegations from feeding our futures, 362 00:19:20,280 --> 00:19:22,440 Speaker 6: and you blow them off. Listen your own state newspaper 363 00:19:22,480 --> 00:19:25,639 Speaker 6: that's at the Minnesota Start Tribune. The Partners in Nutrition 364 00:19:25,760 --> 00:19:28,760 Speaker 6: brought its concerns to the Attorney General's office in twenty 365 00:19:28,840 --> 00:19:32,440 Speaker 6: eighteen and in twenty nineteen, and you did nothing. You 366 00:19:32,480 --> 00:19:34,720 Speaker 6: did nothing for years. The only action you took is 367 00:19:35,160 --> 00:19:38,280 Speaker 6: once all these fraudsters came to your office and asked 368 00:19:38,280 --> 00:19:40,520 Speaker 6: you to get involved and offered your money, and then 369 00:19:40,560 --> 00:19:42,959 Speaker 6: you got involved. Then you talk the money, and then 370 00:19:43,000 --> 00:19:43,720 Speaker 6: you got involved. 371 00:19:43,720 --> 00:19:46,560 Speaker 1: They did not come to my office. You're completely wrong 372 00:19:46,560 --> 00:19:46,840 Speaker 1: about that. 373 00:19:46,960 --> 00:19:50,320 Speaker 6: You met with them twenty minutes and you took ten 374 00:19:50,400 --> 00:19:53,080 Speaker 6: thousand dollars and they also gave your family money. They 375 00:19:53,119 --> 00:19:56,280 Speaker 6: gave your family thousands of dollars in campaign contributions to 376 00:19:56,640 --> 00:19:57,160 Speaker 6: what they gave. 377 00:19:57,240 --> 00:19:57,480 Speaker 4: False. 378 00:19:58,080 --> 00:20:00,520 Speaker 6: Let's put the this is you know, this is completely 379 00:20:00,560 --> 00:20:01,520 Speaker 6: on the New York Post. 380 00:20:01,760 --> 00:20:03,080 Speaker 1: Yeah, we know the New York Post. 381 00:20:03,280 --> 00:20:07,040 Speaker 6: Minnesota Keith Ellison ag accepted campaign donations from individuals linked 382 00:20:07,040 --> 00:20:09,280 Speaker 6: to the two or fifty million dollars COVID fraud scheme 383 00:20:09,520 --> 00:20:11,840 Speaker 6: after they were in your office. No donations came on 384 00:20:11,880 --> 00:20:14,720 Speaker 6: December twentieth, Sir, you met with them on December the eleventh, 385 00:20:14,760 --> 00:20:17,840 Speaker 6: and on January twentieth, the FBI knocked. 386 00:20:17,560 --> 00:20:18,440 Speaker 1: Over their headquarters. 387 00:20:18,520 --> 00:20:19,600 Speaker 4: No, No, that's the. 388 00:20:19,520 --> 00:20:22,720 Speaker 6: Sequence of events here. No, it's you have been right 389 00:20:22,800 --> 00:20:25,520 Speaker 6: at the center of this fraud, not the sequence events. 390 00:20:25,600 --> 00:20:30,119 Speaker 6: And sir, the false you should resign, and sir, you 391 00:20:30,160 --> 00:20:30,800 Speaker 6: should reside. 392 00:20:30,800 --> 00:20:33,159 Speaker 1: I was thinking the same thing about you, resigne you. 393 00:20:33,400 --> 00:20:35,360 Speaker 4: I was thinking the exact same thing about you. 394 00:20:37,200 --> 00:20:40,520 Speaker 1: Wow, then Ron john got involved. Did you see Ron 395 00:20:40,600 --> 00:20:43,639 Speaker 1: Johnson and Keith Ellison crush that one he crush. 396 00:20:43,680 --> 00:20:46,919 Speaker 4: I can't imagine that, particularly particularly when you know that 397 00:20:47,000 --> 00:20:51,200 Speaker 4: these law enforcement officials had been shot at. A couple 398 00:20:51,240 --> 00:20:55,359 Speaker 4: of legal immigrants invertently killed because people were shooting at 399 00:20:55,359 --> 00:20:58,919 Speaker 4: ice officers. Their vehicles have been rammed by some of 400 00:20:58,960 --> 00:21:03,280 Speaker 4: these peace reprot is, probably trained activists. They've had rocks 401 00:21:03,400 --> 00:21:08,560 Speaker 4: thrown at their vehicles. I can't imagine encouraging people put 402 00:21:08,600 --> 00:21:13,119 Speaker 4: yourselves in harm's way, get out there and record that. I, 403 00:21:13,160 --> 00:21:16,640 Speaker 4: as a government official, would have said, back off, let 404 00:21:16,680 --> 00:21:19,120 Speaker 4: us work with us, let's cooperate with them, let's see 405 00:21:19,119 --> 00:21:23,040 Speaker 4: if we can't de escalate this. But attorney in general, 406 00:21:23,200 --> 00:21:27,200 Speaker 4: you did the exact opposite, and two people are dead 407 00:21:28,400 --> 00:21:31,000 Speaker 4: because you encourage them to put themselves into harm's way, 408 00:21:32,080 --> 00:21:34,919 Speaker 4: and now you're exploiting those two marts. That was a tragedy. 409 00:21:35,760 --> 00:21:41,960 Speaker 4: It never should have happened. Now we can investigate, But 410 00:21:42,920 --> 00:21:46,280 Speaker 4: I can't imagine being a law enforcement official where I 411 00:21:46,320 --> 00:21:50,400 Speaker 4: know my colleagues have been shot at, their vehicles, rammed, 412 00:21:51,000 --> 00:21:54,400 Speaker 4: that their trained active is deployed, and by the way, 413 00:21:54,520 --> 00:21:57,240 Speaker 4: we know at least one of those activists has some 414 00:21:57,440 --> 00:22:01,640 Speaker 4: automatic pistol with extra clips. So now you're an ICE officer, 415 00:22:02,680 --> 00:22:05,199 Speaker 4: you're doing enforcement action. You've got a team behind you 416 00:22:05,240 --> 00:22:09,159 Speaker 4: trying to protect you. You've got all these trained activists 417 00:22:09,160 --> 00:22:13,000 Speaker 4: behind you. Is there any wonder there at hair trigger alert? 418 00:22:13,920 --> 00:22:18,560 Speaker 4: A tragy was going to happen, and you incourage Dent 419 00:22:19,400 --> 00:22:22,159 Speaker 4: and you ought to feel damn guilty about it, Thank you, 420 00:22:22,160 --> 00:22:22,720 Speaker 4: miss chairman. 421 00:22:24,000 --> 00:22:26,680 Speaker 1: Yeah, sit there and smirk, smirk. 422 00:22:26,920 --> 00:22:28,800 Speaker 4: It's sick. It is despicable. 423 00:22:28,840 --> 00:22:31,440 Speaker 1: Are you asking me for comment, Senator? Because everything you 424 00:22:31,480 --> 00:22:36,600 Speaker 1: said was untrue? I mean, what's the point why bother 425 00:22:36,760 --> 00:22:41,359 Speaker 1: talking to you can have conversations with certain people? Obama 426 00:22:41,520 --> 00:22:48,159 Speaker 1: judge has ordered ICE to release three convicted illegal alien murderers. 427 00:22:48,720 --> 00:22:51,639 Speaker 1: This is how does this happen in our country? Federal 428 00:22:51,720 --> 00:22:55,960 Speaker 1: judge ordered Homeland Security to release three illegal immigrants with 429 00:22:56,080 --> 00:23:00,639 Speaker 1: homicide convictions on their criminal records and the fourth, the 430 00:23:00,680 --> 00:23:05,159 Speaker 1: illegal immigrant convicted of sex crimes. ICE made immigration arrests 431 00:23:05,280 --> 00:23:08,359 Speaker 1: on the four wanted to keep them in detention while 432 00:23:08,400 --> 00:23:13,560 Speaker 1: processing their deportation. The judge and Obama pointee to the 433 00:23:13,600 --> 00:23:17,360 Speaker 1: court in Louisiana ordered all of them to be released. 434 00:23:17,640 --> 00:23:20,680 Speaker 1: I'm sure they'll be keeping tabs of where they are 435 00:23:20,840 --> 00:23:23,840 Speaker 1: and checking in at the appropriate times, saying that they've 436 00:23:23,880 --> 00:23:27,199 Speaker 1: been held too long. There is no imminent likelihood that 437 00:23:27,280 --> 00:23:31,560 Speaker 1: their home countries of Cuba and Ethiopia will take them back. 438 00:23:32,320 --> 00:23:36,120 Speaker 1: US government says they're searching for other nations to take them, 439 00:23:36,600 --> 00:23:40,159 Speaker 1: but the judge said it's too speculative right now to 440 00:23:40,240 --> 00:23:45,120 Speaker 1: keep them in detention. DHS issued a scathing press release 441 00:23:45,480 --> 00:23:51,400 Speaker 1: to crying the releases, predicting the result will be continued rape, murder, assault, 442 00:23:52,000 --> 00:23:56,080 Speaker 1: and robbery of more American victims. I mean, you can't 443 00:23:56,080 --> 00:23:56,760 Speaker 1: make this up. 444 00:23:57,400 --> 00:23:58,520 Speaker 3: So can I ask a question? 445 00:24:00,119 --> 00:24:02,600 Speaker 1: Yes, you, and for the young woman in the back 446 00:24:02,640 --> 00:24:04,160 Speaker 1: of thanking, Yes, ma'am, thank you, sir. 447 00:24:04,600 --> 00:24:07,000 Speaker 3: I want to know at what point you want to 448 00:24:07,000 --> 00:24:09,000 Speaker 3: know and what I don't. This is a serious question 449 00:24:09,000 --> 00:24:12,160 Speaker 3: because I don't know the answer. At what point are 450 00:24:12,200 --> 00:24:16,320 Speaker 3: we allowed to hold the judges liable as an accomplice 451 00:24:16,359 --> 00:24:20,639 Speaker 3: in any further crimes committed, knowing and having the foresight 452 00:24:21,040 --> 00:24:23,960 Speaker 3: based on previous crimes that they're going to do it 453 00:24:24,000 --> 00:24:26,520 Speaker 3: again because they're repeat offenders. How does that work? Because 454 00:24:26,520 --> 00:24:29,160 Speaker 3: I would like them to be held accountable because they guarantee. 455 00:24:29,280 --> 00:24:33,439 Speaker 1: If I've been saying on this program that these governors, 456 00:24:33,560 --> 00:24:37,760 Speaker 1: these mayors of sanctuary states and cities, that they're aiding 457 00:24:38,000 --> 00:24:41,240 Speaker 1: and abetting law breaking, but I'm talking about. 458 00:24:40,960 --> 00:24:43,320 Speaker 3: The dating justice, I'm talking about the judges. 459 00:24:43,920 --> 00:24:47,479 Speaker 1: How often have I said on this program that people 460 00:24:47,560 --> 00:24:52,080 Speaker 1: like Biden, Harris Mayorcis that lied to the nation and 461 00:24:52,200 --> 00:24:55,240 Speaker 1: had wide open borders, but they told us the border 462 00:24:55,359 --> 00:24:58,320 Speaker 1: was closed and the border was secure. How often have 463 00:24:58,440 --> 00:25:02,800 Speaker 1: I said, they all have on their hands. That's exactly 464 00:25:02,840 --> 00:25:06,000 Speaker 1: what I've been saying. But those guys are question is 465 00:25:06,640 --> 00:25:08,719 Speaker 1: the answer to the question is this? This is what 466 00:25:08,920 --> 00:25:13,040 Speaker 1: is on the ballot in November. By the way, Russia 467 00:25:13,160 --> 00:25:18,639 Speaker 1: is now evacuating their citizens from Cuba. Russia is suspending 468 00:25:18,680 --> 00:25:21,480 Speaker 1: flights to Cuba. They don't have enough fuel to put 469 00:25:21,520 --> 00:25:24,720 Speaker 1: in the planes in Cuba thanks to the blockade the 470 00:25:24,720 --> 00:25:27,600 Speaker 1: President's Trump put in place. Let me make a prediction, 471 00:25:28,240 --> 00:25:32,040 Speaker 1: Cuba is about to fall and maybe freedom will come 472 00:25:32,080 --> 00:25:35,240 Speaker 1: to Cuba. Let me make another prediction. As the Iranian 473 00:25:35,320 --> 00:25:38,680 Speaker 1: Mullas was celebrating their forty seventh anniversary and power by 474 00:25:38,720 --> 00:25:43,520 Speaker 1: burning American flags and parading mock coffins of US military leaders, 475 00:25:44,960 --> 00:25:50,439 Speaker 1: Donald Trump is sending a second fleet of ships to 476 00:25:50,560 --> 00:25:54,280 Speaker 1: the region. I'd imagine the odds are getting higher by 477 00:25:54,320 --> 00:25:59,600 Speaker 1: the day that these mullas are gone. They're done. There 478 00:25:59,680 --> 00:26:03,280 Speaker 1: is a deeper conspiracy between a Chinese man behind this 479 00:26:03,440 --> 00:26:07,840 Speaker 1: California lab and this Vegas lab property keeper. You know 480 00:26:08,840 --> 00:26:13,080 Speaker 1: why I've never understood this. Why are we allowing Chinese 481 00:26:13,200 --> 00:26:16,600 Speaker 1: nationals to buy a ranch, land, farmland and land near 482 00:26:16,640 --> 00:26:21,399 Speaker 1: military installations? And why now that we have these these 483 00:26:21,800 --> 00:26:25,600 Speaker 1: bio labs that we've been founding around the country, you 484 00:26:25,640 --> 00:26:28,240 Speaker 1: know why haven't we made that priority number one? Because 485 00:26:28,240 --> 00:26:30,159 Speaker 1: you know what you can do in those labs. You 486 00:26:30,280 --> 00:26:34,040 Speaker 1: can manufacture viruses. You think we might have learned a 487 00:26:34,080 --> 00:26:37,439 Speaker 1: thing or two. You'll be happy to hear this, Linda. 488 00:26:38,000 --> 00:26:42,080 Speaker 1: A lot of people joined you on Sunday when it 489 00:26:42,119 --> 00:26:45,760 Speaker 1: comes to the Super Bowl because it looks like bugs. 490 00:26:45,760 --> 00:26:50,679 Speaker 1: Bunny set a record for his halftime show performance. A 491 00:26:50,800 --> 00:26:54,040 Speaker 1: record number of viewers stopped watching the minute he started 492 00:26:54,119 --> 00:26:57,119 Speaker 1: at halftime show. Because they are people like me that 493 00:26:57,200 --> 00:26:59,720 Speaker 1: knew they weren't gonna like it anyway. I had to 494 00:26:59,760 --> 00:27:01,000 Speaker 1: watch because of the job. 495 00:27:01,359 --> 00:27:03,520 Speaker 3: I gotta tell you how to guy email me yesterday 496 00:27:03,560 --> 00:27:05,960 Speaker 3: and he said, you gotta tell Sean to stop calling 497 00:27:06,000 --> 00:27:09,520 Speaker 3: bad bunny bugs bunny because I love bugs bunny. I 498 00:27:09,560 --> 00:27:11,520 Speaker 3: was like, okay, sir, I'm very sorry. 499 00:27:12,960 --> 00:27:14,800 Speaker 1: You gotta admit our audience that's funny. 500 00:27:14,840 --> 00:27:16,040 Speaker 3: They are. They crack me out. 501 00:27:16,080 --> 00:27:21,119 Speaker 1: I love our audience. This is getting interesting, all of 502 00:27:21,160 --> 00:27:24,040 Speaker 1: them getting into this whole thing about the election is 503 00:27:24,040 --> 00:27:29,000 Speaker 1: getting interesting. Congressional Democrats caught using fake AI generated image 504 00:27:29,000 --> 00:27:33,400 Speaker 1: of ice protester Alex pretty shooting. Did you hear about that? 505 00:27:33,600 --> 00:27:37,359 Speaker 3: Oh yeah, the guy's missing ahead. It's like, uh, I 506 00:27:37,400 --> 00:27:38,400 Speaker 3: think this is ai. 507 00:27:38,280 --> 00:27:41,920 Speaker 1: Bro AI generated image falsely depicting the fatal shooting, which 508 00:27:41,920 --> 00:27:45,919 Speaker 1: shows one federal agent clearly missing his head. Okay, you 509 00:27:45,960 --> 00:27:49,159 Speaker 1: know the news. Every day it gets worse. We do 510 00:27:49,240 --> 00:27:53,760 Speaker 1: have some updates in the kidnapping of Nancy Guthrie. Investigators 511 00:27:53,840 --> 00:27:58,200 Speaker 1: now seeking surveillance video of any vehicle in the neighborhood. 512 00:27:58,640 --> 00:28:01,920 Speaker 1: We have this now second TMZ demand that I wanted 513 00:28:01,960 --> 00:28:06,240 Speaker 1: the one bitcoin for passing along information of who the 514 00:28:06,280 --> 00:28:10,480 Speaker 1: person involved is. They found the set of gloves. New 515 00:28:10,600 --> 00:28:15,920 Speaker 1: FBI video shows this guy's jawline. Anyway, they're gonna pay 516 00:28:15,920 --> 00:28:17,480 Speaker 1: attention to all of that. We'll have an update on 517 00:28:17,520 --> 00:28:18,440 Speaker 1: that coming up as well,