1 00:00:01,040 --> 00:00:02,440 Speaker 1: Welcome to the Rogue Recap. 2 00:00:03,000 --> 00:00:07,560 Speaker 2: Hot takes, cold facts and zero respect for the official narrative. 3 00:00:08,480 --> 00:00:12,760 Speaker 2: Sit back, roll your eyes, and let's recap rogue style. 4 00:00:15,400 --> 00:00:18,600 Speaker 1: What's up, guys, Welcome to the Rogue Recap. It is Wednesday, 5 00:00:18,640 --> 00:00:22,880 Speaker 1: April Fools Day, April first, and so far, no one 6 00:00:22,880 --> 00:00:25,680 Speaker 1: has pranked me today. I was waiting for it, you know. 7 00:00:25,720 --> 00:00:28,240 Speaker 1: I have four kids, and I thought, at some point 8 00:00:28,400 --> 00:00:33,080 Speaker 1: today I am definitely going to get prank. But no 9 00:00:33,200 --> 00:00:37,440 Speaker 1: such luck today. So pretty funny. If you're listening for 10 00:00:37,479 --> 00:00:40,640 Speaker 1: the first time, I am Linda McLachlin. Follow us Rogue 11 00:00:40,680 --> 00:00:44,319 Speaker 1: recap dot com, at Rogue Recap at Linda mick all 12 00:00:44,360 --> 00:00:48,120 Speaker 1: the things like us, subscribe, YadA YadA. So I love 13 00:00:48,120 --> 00:00:50,520 Speaker 1: April Fools Day. I think it's really funny. I remember 14 00:00:50,760 --> 00:00:54,000 Speaker 1: being a kid growing up and always thinking what could 15 00:00:54,000 --> 00:00:57,000 Speaker 1: I do on April fools that would trick my parents, 16 00:00:57,160 --> 00:01:00,400 Speaker 1: or trick my brothers, or trick a teacher whatever it 17 00:01:00,480 --> 00:01:03,280 Speaker 1: is right? But I was the worst because I'm a 18 00:01:03,400 --> 00:01:06,240 Speaker 1: terrible liar. I don't play poker or all the things right. 19 00:01:06,280 --> 00:01:08,920 Speaker 1: Like it's written all over my face. If I like you, 20 00:01:08,959 --> 00:01:10,800 Speaker 1: if I don't like you, if I'm sad. I'm happy 21 00:01:10,880 --> 00:01:12,760 Speaker 1: you're going to know because my eyebrows are going to 22 00:01:12,880 --> 00:01:15,319 Speaker 1: change and my face is going to make a smile 23 00:01:15,440 --> 00:01:18,600 Speaker 1: or a frown or whatever. It's never a secret. But 24 00:01:18,680 --> 00:01:20,880 Speaker 1: I was looking around today I was like, did anybody 25 00:01:20,959 --> 00:01:24,240 Speaker 1: have an April Fool's moment? And man, did I find 26 00:01:24,600 --> 00:01:30,039 Speaker 1: the funniest post. So there's a there's a professor and 27 00:01:30,160 --> 00:01:32,800 Speaker 1: he's in front of a classroom of students, and whoever 28 00:01:32,880 --> 00:01:37,080 Speaker 1: posted this wrote this professor has a policy that if 29 00:01:37,120 --> 00:01:39,520 Speaker 1: your phone rings in class, you have to answer it 30 00:01:39,560 --> 00:01:42,440 Speaker 1: on speakerphone, which, let's be honest, that would be super embarrassing. 31 00:01:43,319 --> 00:01:47,199 Speaker 1: So the students arranged to have a friend call in 32 00:01:47,400 --> 00:01:51,720 Speaker 1: on April's full stay and have a really really funny joke. 33 00:01:51,800 --> 00:01:54,320 Speaker 1: So I just thought this was a classic. I've never 34 00:01:54,320 --> 00:01:57,320 Speaker 1: seen anything like this before. And I'll tell you what 35 00:01:57,560 --> 00:01:59,800 Speaker 1: the person is saying. If it's hard to hear, the 36 00:02:00,240 --> 00:02:03,040 Speaker 1: is a little bit quiet, but just take a listen. 37 00:02:03,120 --> 00:02:23,760 Speaker 1: I think it's hysterical. Hello, yes, okay, you might you. 38 00:02:25,800 --> 00:02:42,240 Speaker 2: Okay, okay, thank you, thank you, I'll call that later. 39 00:02:42,800 --> 00:02:46,200 Speaker 1: Thank hey, I want to probably. 40 00:02:50,040 --> 00:02:54,880 Speaker 2: That's okay. I've been accepting this and I already know 41 00:02:54,919 --> 00:02:57,120 Speaker 2: what I'm gonna mean the baby, the first name will 42 00:02:57,200 --> 00:03:06,320 Speaker 2: be April and the middle name will be So. 43 00:03:06,400 --> 00:03:10,000 Speaker 1: If you couldn't hear what happened, So again, he makes 44 00:03:10,040 --> 00:03:12,079 Speaker 1: them answer the phone and has to be on speakerphone, 45 00:03:12,280 --> 00:03:15,519 Speaker 1: so she answers the phone and the guy says, Hi, 46 00:03:15,600 --> 00:03:18,160 Speaker 1: this is so and so from the Pregnancy Research Center, 47 00:03:18,639 --> 00:03:20,440 Speaker 1: we want to thank you so much for being a 48 00:03:20,480 --> 00:03:25,600 Speaker 1: participant in our research. And actually, when we ran your 49 00:03:26,400 --> 00:03:28,520 Speaker 1: I guess whatever she gave blood or whatever, right, it's 50 00:03:28,520 --> 00:03:31,720 Speaker 1: a joke, doesn't matter, but we ran you know, your test. 51 00:03:31,880 --> 00:03:35,640 Speaker 1: The results came back positive, and we saw from the 52 00:03:35,640 --> 00:03:37,600 Speaker 1: notes that you said the father was no longer in 53 00:03:37,640 --> 00:03:41,280 Speaker 1: the picture. But so we have services to help you 54 00:03:41,560 --> 00:03:43,760 Speaker 1: through the process. And he goes to his whole litany 55 00:03:43,760 --> 00:03:47,280 Speaker 1: of things, and obviously the teachers mortify because he's like, okay, 56 00:03:47,320 --> 00:03:50,240 Speaker 1: this is the opposite. Like normally, it's just like if 57 00:03:50,280 --> 00:03:52,360 Speaker 1: your friend's calling you and you're like, sorry, i'm a class, bye, 58 00:03:52,360 --> 00:03:54,360 Speaker 1: i gotta go, or whatever, right, your mom, your dad, 59 00:03:54,400 --> 00:03:57,280 Speaker 1: your friend, your brother, But this is like this serious call, 60 00:03:57,400 --> 00:04:01,160 Speaker 1: and the teacher's like so upset. He's like, I'm very sorry. 61 00:04:01,320 --> 00:04:04,400 Speaker 1: This is obviously not a call that you know, I 62 00:04:04,440 --> 00:04:06,440 Speaker 1: intended for you to take in front of the whole class, 63 00:04:06,520 --> 00:04:09,200 Speaker 1: and blah blah blah, and he feels so bad and 64 00:04:09,240 --> 00:04:11,600 Speaker 1: he's apologizing to her, and then you know, she makes 65 00:04:11,640 --> 00:04:13,680 Speaker 1: a joke and says, well, I've already decided what to 66 00:04:13,760 --> 00:04:16,560 Speaker 1: name the baby, and it is April Fools. So I 67 00:04:16,560 --> 00:04:18,040 Speaker 1: thought it was really funny. At the end of it, 68 00:04:18,200 --> 00:04:19,960 Speaker 1: you can't hear it because the kids start clapping and 69 00:04:19,960 --> 00:04:23,040 Speaker 1: hooting and hollering, but he says, he goes, you know what, 70 00:04:23,480 --> 00:04:25,679 Speaker 1: that was an amazing prank and you're gonna get bonus 71 00:04:25,680 --> 00:04:28,240 Speaker 1: points for that. So definitely really funny. He had a 72 00:04:28,279 --> 00:04:30,760 Speaker 1: great sense of humor about it, and I just thought 73 00:04:30,760 --> 00:04:32,440 Speaker 1: it was the funniest thing. You know, I do this 74 00:04:32,560 --> 00:04:36,080 Speaker 1: thing every night. My husband always laughs at me because obviously, 75 00:04:36,120 --> 00:04:40,239 Speaker 1: working in news, I cover awful stories all day long 76 00:04:40,400 --> 00:04:44,080 Speaker 1: and it gives you literally like no faith in humanity. Right, 77 00:04:44,480 --> 00:04:46,919 Speaker 1: So at night what I do is I watch stories 78 00:04:46,960 --> 00:04:51,680 Speaker 1: about animals, you know, animals that are reunited, or you 79 00:04:51,720 --> 00:04:55,000 Speaker 1: know when military and our veterans come home and their 80 00:04:55,160 --> 00:04:57,480 Speaker 1: their dogs and you know, their pets freak out and 81 00:04:57,480 --> 00:05:00,000 Speaker 1: they're so happy to see them, or you know, Bay 82 00:05:00,360 --> 00:05:03,400 Speaker 1: and puppies, babies, and dogs, horses, you name it. I'm 83 00:05:03,400 --> 00:05:08,800 Speaker 1: watching it. And I was watching this video last night 84 00:05:08,839 --> 00:05:11,159 Speaker 1: and it was a it was a police dog, it 85 00:05:11,160 --> 00:05:14,000 Speaker 1: was a canine dog, big German shepherd. I'm very partial 86 00:05:14,000 --> 00:05:18,760 Speaker 1: to German shepherds. And this little baby kitten and I 87 00:05:18,880 --> 00:05:23,120 Speaker 1: mean baby like probably like four weeks old, maybe tiny, tiny, tiny, 88 00:05:23,720 --> 00:05:26,240 Speaker 1: and this little thing is just wants to be best 89 00:05:26,279 --> 00:05:29,280 Speaker 1: friends with this German shepherd, I mean all over it, 90 00:05:29,480 --> 00:05:34,080 Speaker 1: rolling around, palling on its face, and this God bless them, 91 00:05:34,120 --> 00:05:36,839 Speaker 1: this German shepherd is like, hey, what's up. Yep, We're good. 92 00:05:36,920 --> 00:05:39,800 Speaker 1: I'm just hanging let's her climb all over them, you know, 93 00:05:39,880 --> 00:05:42,640 Speaker 1: making the biscuits in the back of his fur and 94 00:05:42,960 --> 00:05:46,960 Speaker 1: just like, I mean really cute, you know, and I'm like, see, 95 00:05:47,120 --> 00:05:49,240 Speaker 1: that's the stuff that makes me happy. Or the dogs 96 00:05:49,240 --> 00:05:52,440 Speaker 1: that see like the toddlers when they start walking, right, 97 00:05:52,520 --> 00:05:54,520 Speaker 1: or babies when they first start walking, and then toddler's 98 00:05:54,520 --> 00:05:56,440 Speaker 1: when they're playing, you know, when they're two and three. 99 00:05:57,120 --> 00:06:00,240 Speaker 1: You'll see these dogs they're so protective, you know, they'll no, 100 00:06:00,920 --> 00:06:02,760 Speaker 1: that might not be a good spot for him to stand. 101 00:06:02,800 --> 00:06:04,920 Speaker 1: So I'm just gonna kind of curve up around the 102 00:06:05,000 --> 00:06:07,080 Speaker 1: back of them, or I'm going to stand kind of 103 00:06:07,120 --> 00:06:09,760 Speaker 1: close here, and they'll always protect that child. And I 104 00:06:09,839 --> 00:06:12,520 Speaker 1: had that same experience. You know, my dog Whinnie, he 105 00:06:12,680 --> 00:06:16,640 Speaker 1: just passed away in November, but my youngest son Liam, 106 00:06:17,320 --> 00:06:20,480 Speaker 1: I had him maybe a year after I had Winston, 107 00:06:20,640 --> 00:06:24,280 Speaker 1: and so it was so funny seeing Liam grow up 108 00:06:24,279 --> 00:06:28,640 Speaker 1: with Winston, and Winston just always by his side, so protective, 109 00:06:29,240 --> 00:06:31,480 Speaker 1: so sweet, and even when I was pregnant, I mean 110 00:06:31,600 --> 00:06:34,320 Speaker 1: when he was head on my belly, he would hear 111 00:06:34,400 --> 00:06:36,360 Speaker 1: him kicking in the womb and he would be like, oh, 112 00:06:36,400 --> 00:06:38,359 Speaker 1: you know what, the head bob that they do just 113 00:06:38,440 --> 00:06:40,960 Speaker 1: all the things, but those are those are the moments, 114 00:06:41,040 --> 00:06:43,880 Speaker 1: right that we hang on to because they're positive, they're happy, 115 00:06:44,320 --> 00:06:47,440 Speaker 1: and they get you through the day when you're watching 116 00:06:47,720 --> 00:06:52,560 Speaker 1: humanity just literally hang itself out to dry at every turn. 117 00:06:52,800 --> 00:06:56,159 Speaker 1: I mean, just it's insane. Even today, you know, we 118 00:06:56,240 --> 00:07:01,039 Speaker 1: had this birthright citizenship case in front of the court, 119 00:07:01,680 --> 00:07:03,760 Speaker 1: as I'm sure many of you know and followed, and 120 00:07:03,839 --> 00:07:07,400 Speaker 1: it is so upsetting to see the people standing out 121 00:07:07,400 --> 00:07:11,800 Speaker 1: front of the court screaming for birthright citizenship, wearing the 122 00:07:11,840 --> 00:07:15,760 Speaker 1: most disgusting shirts that say like fuck Trump, Fuck America, 123 00:07:16,480 --> 00:07:19,080 Speaker 1: give me my rights. I want the money. I'm an 124 00:07:19,080 --> 00:07:21,160 Speaker 1: illegal immigrant and I don't give a shit. You know, 125 00:07:21,400 --> 00:07:26,440 Speaker 1: dancing men dressing as women, you know, trans flags, just 126 00:07:26,560 --> 00:07:29,760 Speaker 1: all the things. It's to me, it's so interesting to 127 00:07:29,880 --> 00:07:34,560 Speaker 1: always see the same group of misfits, right they it's 128 00:07:34,600 --> 00:07:37,040 Speaker 1: like that whole joke of like here's your flag, Like 129 00:07:37,080 --> 00:07:39,720 Speaker 1: we'll just change your flag for whatever the thing is today. 130 00:07:40,200 --> 00:07:44,120 Speaker 1: And this Supreme Court hearing was no different. And obviously 131 00:07:44,160 --> 00:07:48,120 Speaker 1: we had a landmark moment because President Trump went to 132 00:07:48,200 --> 00:07:51,400 Speaker 1: the Supreme Court and sat in to hear oral arguments, 133 00:07:52,080 --> 00:07:54,040 Speaker 1: which has never been done. We've never had a sitting 134 00:07:54,120 --> 00:07:57,480 Speaker 1: president go to the Supreme Court and hear hearing, right, 135 00:07:57,560 --> 00:08:01,480 Speaker 1: so really interesting to to see him take such an 136 00:08:01,520 --> 00:08:04,280 Speaker 1: avid interest. And you know, the fourteenth Amendment of our 137 00:08:04,320 --> 00:08:08,280 Speaker 1: Constitution states that if you are born in this country, 138 00:08:08,360 --> 00:08:11,800 Speaker 1: you are a citizen. And it was explained to me 139 00:08:12,000 --> 00:08:14,680 Speaker 1: by someone who is, you know, a bit of a 140 00:08:16,160 --> 00:08:21,240 Speaker 1: bit of an expert in this topic, in a constitutional historian, 141 00:08:21,400 --> 00:08:26,360 Speaker 1: that this is one of those moments where that particular 142 00:08:26,400 --> 00:08:31,160 Speaker 1: amendment was meant to make sure that slaves were given 143 00:08:31,760 --> 00:08:35,439 Speaker 1: equal rights in America and to make sure that they 144 00:08:35,440 --> 00:08:37,920 Speaker 1: were considered one hundred percent of a person, and the 145 00:08:38,000 --> 00:08:41,360 Speaker 1: right to vote and all of these equality measures. It 146 00:08:41,520 --> 00:08:46,280 Speaker 1: wasn't to give people that were pregnant and got pregnant 147 00:08:46,320 --> 00:08:50,079 Speaker 1: on purpose, right, whether they're four higher people that cross 148 00:08:50,160 --> 00:08:53,160 Speaker 1: the border illegally give birth on our side of the 149 00:08:53,160 --> 00:08:55,400 Speaker 1: aisle and then say well, my child is legal, so 150 00:08:55,520 --> 00:08:58,600 Speaker 1: now I'm legal, right, or they're legal for a little while, 151 00:08:58,720 --> 00:09:00,760 Speaker 1: and then they go back to the country, but they 152 00:09:00,800 --> 00:09:03,080 Speaker 1: can come back or they can send for their parents 153 00:09:03,160 --> 00:09:08,679 Speaker 1: later on in life. It's this disgusting business. There's this 154 00:09:08,720 --> 00:09:11,559 Speaker 1: one Chinese businessman and he supposedly is the father to 155 00:09:11,679 --> 00:09:16,880 Speaker 1: over a hundred anchor babies that he literally just seated 156 00:09:17,000 --> 00:09:19,240 Speaker 1: these children so that they could be in the United 157 00:09:19,240 --> 00:09:22,679 Speaker 1: States and then they grow up here, they live here, 158 00:09:22,720 --> 00:09:25,320 Speaker 1: and then they come back and they work in China. 159 00:09:25,480 --> 00:09:29,920 Speaker 1: And there's this strange reciprocity that he's creating that's not real. 160 00:09:29,960 --> 00:09:33,880 Speaker 1: It's artificial, and they are working against the United States, 161 00:09:33,880 --> 00:09:36,760 Speaker 1: not for the United States, whether it's through trafficking fentanyl, 162 00:09:37,720 --> 00:09:41,960 Speaker 1: you know, trade secrets, you have it. Peter Schweizer actually 163 00:09:42,040 --> 00:09:45,120 Speaker 1: has a lot of information on this through the Government 164 00:09:45,360 --> 00:09:48,079 Speaker 1: Accountability Institute, and he's done a ton of deep dives 165 00:09:48,120 --> 00:09:53,360 Speaker 1: on this and testified before the Senate probably about two 166 00:09:53,400 --> 00:09:56,080 Speaker 1: or three weeks ago now, and Dick Durbin was like 167 00:09:56,160 --> 00:09:59,839 Speaker 1: at him, like, well, what are the statistics. If it's one, 168 00:10:00,520 --> 00:10:03,200 Speaker 1: it's too many. I think that's the thing that I 169 00:10:03,200 --> 00:10:05,720 Speaker 1: always get so upset about, like how many is enough 170 00:10:05,720 --> 00:10:06,640 Speaker 1: for you to give a shit? 171 00:10:07,080 --> 00:10:07,240 Speaker 2: Right? 172 00:10:07,320 --> 00:10:10,520 Speaker 1: As we see all of these kids and women, as 173 00:10:10,559 --> 00:10:14,960 Speaker 1: I talk about so often being hurt, being robbed, being raped, 174 00:10:15,080 --> 00:10:17,960 Speaker 1: being murdered by illegal aliens, and it's never enough. They 175 00:10:18,000 --> 00:10:21,000 Speaker 1: don't care. We just had another high school or killed 176 00:10:21,080 --> 00:10:24,640 Speaker 1: in Chicago just this week. You don't hear anything from 177 00:10:24,679 --> 00:10:28,120 Speaker 1: Brandon Johnson. Brandon Johnson's out there screaming about illegal immigrant 178 00:10:28,160 --> 00:10:32,120 Speaker 1: rights and reparations. He's not talking about new security measures, 179 00:10:32,360 --> 00:10:35,560 Speaker 1: he's not talking about how we can protect people. None 180 00:10:35,640 --> 00:10:38,360 Speaker 1: of that is coming out. And in fact JB. Pritzker, 181 00:10:38,559 --> 00:10:42,480 Speaker 1: the governor of Illinois, at a clip from I guess 182 00:10:42,480 --> 00:10:46,240 Speaker 1: it was twenty twenty five, just resurfaced and it's him saying, 183 00:10:46,320 --> 00:10:49,160 Speaker 1: if you don't like how things are going here in Illinois, 184 00:10:49,440 --> 00:10:53,600 Speaker 1: you can move. That's your answer. Why isn't it Listen, 185 00:10:54,080 --> 00:10:56,760 Speaker 1: we want to find a pathway to citizenship, which I 186 00:10:56,800 --> 00:10:59,200 Speaker 1: also don't agree with, but at least it would be 187 00:10:59,240 --> 00:11:02,720 Speaker 1: a better answer. We want to find a pathway to 188 00:11:02,800 --> 00:11:05,880 Speaker 1: becoming a legal citizen for those people that are here. 189 00:11:06,000 --> 00:11:08,760 Speaker 1: They're working, who knows how they got here, but they're 190 00:11:08,760 --> 00:11:12,200 Speaker 1: not doing anything right now that's criminal, and so we 191 00:11:12,280 --> 00:11:14,760 Speaker 1: want to help them become legal so that they can 192 00:11:14,760 --> 00:11:16,960 Speaker 1: pay into the system, they can be a part of 193 00:11:17,240 --> 00:11:20,960 Speaker 1: the ecosystem that is Illinois and the United States, and 194 00:11:21,040 --> 00:11:23,240 Speaker 1: we can sort of put this whole your illegal thing 195 00:11:23,280 --> 00:11:26,280 Speaker 1: to bed in the interim. If you're here and you're 196 00:11:26,280 --> 00:11:29,720 Speaker 1: here illegally, and you're committing crimes and you're murdering people, 197 00:11:29,840 --> 00:11:31,640 Speaker 1: and you're a part of the problem, not the solution, 198 00:11:32,080 --> 00:11:34,520 Speaker 1: then yes, we are going to cooperate with ICE, we 199 00:11:34,559 --> 00:11:36,839 Speaker 1: are going to cooperate with DHS, and we're going to 200 00:11:36,920 --> 00:11:40,599 Speaker 1: say see you later. I don't know why this concept 201 00:11:40,800 --> 00:11:46,320 Speaker 1: is so offensive to so many Democrats, even regular Democrats, Right, 202 00:11:46,520 --> 00:11:49,120 Speaker 1: These are people that are misinformed, and they say, you know, 203 00:11:49,400 --> 00:11:51,640 Speaker 1: we go back to the Billie Eilish thing from I 204 00:11:51,720 --> 00:11:54,200 Speaker 1: forget which award show. She was on some music show. 205 00:11:54,200 --> 00:11:56,440 Speaker 1: Who cares, but she got up there and said, no 206 00:11:56,440 --> 00:11:59,160 Speaker 1: one's illegal on stolen land, and so people started showing 207 00:11:59,240 --> 00:12:01,760 Speaker 1: up at her house, which, by the way, as a reminder, 208 00:12:01,840 --> 00:12:06,760 Speaker 1: is built on a Native American you know, holy site 209 00:12:06,840 --> 00:12:08,520 Speaker 1: or something. So people were like, all right, well you 210 00:12:08,600 --> 00:12:11,600 Speaker 1: got to move because you're actually on stolen land, you're 211 00:12:11,640 --> 00:12:14,199 Speaker 1: on sacred ground, so maybe you should get to get 212 00:12:14,280 --> 00:12:17,200 Speaker 1: And then who's she calling the police? So again it's 213 00:12:17,360 --> 00:12:20,320 Speaker 1: just there's so much of this that you have to 214 00:12:20,360 --> 00:12:23,920 Speaker 1: say like, Okay, it's enough. This is ridiculous, and it's 215 00:12:23,960 --> 00:12:26,800 Speaker 1: the whole, you know, good for thee not for me thing. Anyways, 216 00:12:26,840 --> 00:12:32,080 Speaker 1: I digress. But happy moments, April Fool's good stuff, right, 217 00:12:32,120 --> 00:12:33,920 Speaker 1: those are the moments they get you through the Pritzkers 218 00:12:33,920 --> 00:12:37,120 Speaker 1: and the Brandon Johnson's. I wanted to hit some stories 219 00:12:37,120 --> 00:12:40,640 Speaker 1: today that haven't gotten a lot of attention. I stumbled 220 00:12:40,679 --> 00:12:43,680 Speaker 1: across them earlier this afternoon and I thought that's interesting. 221 00:12:43,720 --> 00:12:45,280 Speaker 1: And I don't remember reading this. I don't know if 222 00:12:45,320 --> 00:12:49,200 Speaker 1: you guys do, but back in I guess it was 223 00:12:49,240 --> 00:12:52,679 Speaker 1: the end of last year. People started talking about this 224 00:12:52,960 --> 00:12:58,439 Speaker 1: former Capitol police officer, Shawnie Kirkhoff, who seemed to match 225 00:12:58,920 --> 00:13:01,680 Speaker 1: this pipe bomb that they've been looking for for the 226 00:13:01,760 --> 00:13:05,920 Speaker 1: last you know, five to six years, and we shouldn't 227 00:13:05,920 --> 00:13:08,440 Speaker 1: say looking right. Our administration is looking I'm sure the 228 00:13:08,480 --> 00:13:12,240 Speaker 1: Biden administration probably paid them off, but that's neither here 229 00:13:12,280 --> 00:13:15,960 Speaker 1: nor there. Our administration under Trump is continuing to look 230 00:13:16,000 --> 00:13:20,480 Speaker 1: into what happened, you know, on January sixth. And what's 231 00:13:20,520 --> 00:13:24,160 Speaker 1: interesting is as we see all of these rogue judges 232 00:13:24,240 --> 00:13:26,240 Speaker 1: that are releasing criminals on the street. I did my 233 00:13:26,280 --> 00:13:29,360 Speaker 1: show on that last night. Remember what they did to 234 00:13:29,400 --> 00:13:32,439 Speaker 1: the j six people, people that were waved in by 235 00:13:32,480 --> 00:13:36,000 Speaker 1: Capitol police to come into the Capitol, right. They didn't 236 00:13:36,040 --> 00:13:38,800 Speaker 1: break things, they didn't storm the doors. The doors were 237 00:13:38,920 --> 00:13:42,000 Speaker 1: opened for them. The video clearly shows it. This is 238 00:13:42,000 --> 00:13:45,400 Speaker 1: not a secret. They were kept without due process, put 239 00:13:45,400 --> 00:13:49,640 Speaker 1: in jails for years. It took President Trump coming in 240 00:13:49,800 --> 00:13:52,839 Speaker 1: and to get them out. Tina Peters is still in jail. 241 00:13:53,760 --> 00:13:57,800 Speaker 1: Tina Peters is a gold star wife and mother, and 242 00:13:57,840 --> 00:14:01,560 Speaker 1: she's sitting in jail right now because she had the 243 00:14:01,640 --> 00:14:05,960 Speaker 1: audacity to ask questions about the twenty twenty election. And 244 00:14:06,040 --> 00:14:08,720 Speaker 1: I think a lot of people had questions about the 245 00:14:08,760 --> 00:14:11,959 Speaker 1: twenty twenty election. And what you'll notice is whether it 246 00:14:12,000 --> 00:14:15,160 Speaker 1: was COVID or the election, you weren't allowed to talk 247 00:14:15,200 --> 00:14:19,040 Speaker 1: about it, and if you asked questions, you were called 248 00:14:19,080 --> 00:14:23,560 Speaker 1: a conspiracy theorist, you were called a fascist, you were 249 00:14:23,600 --> 00:14:26,600 Speaker 1: called whatever you were called. But they weren't happy about it, 250 00:14:26,880 --> 00:14:30,240 Speaker 1: and they turned everybody against each other. They did exactly 251 00:14:30,760 --> 00:14:32,880 Speaker 1: what they wanted to do, which was divide and conquer, 252 00:14:32,920 --> 00:14:35,520 Speaker 1: and they did it. And we had all these Democrats saying, 253 00:14:35,720 --> 00:14:38,520 Speaker 1: if you don't get the COVID shot, you're the problem. 254 00:14:38,680 --> 00:14:41,720 Speaker 1: If you don't believe that the twenty twenty election was 255 00:14:42,280 --> 00:14:46,960 Speaker 1: completely and totally with the utmost integrity and there's no questions, 256 00:14:47,080 --> 00:14:49,760 Speaker 1: you're the problem. I'm like, are you the same assholes 257 00:14:49,880 --> 00:14:54,760 Speaker 1: who were talking about how all of these software, you know, 258 00:14:54,840 --> 00:14:58,680 Speaker 1: voting machines were going to enable people to steal and cheat? 259 00:14:58,720 --> 00:15:01,280 Speaker 1: I mean, we had senators like this might ring a bell, 260 00:15:01,560 --> 00:15:05,840 Speaker 1: Kamala Harris, right, I mean think about that, you know, 261 00:15:05,960 --> 00:15:10,520 Speaker 1: Senator Warren, Senator Wyden. They wrote a letter to the 262 00:15:10,560 --> 00:15:13,400 Speaker 1: administration saying, we don't want to use these machines because 263 00:15:13,400 --> 00:15:15,360 Speaker 1: we think the Republicans are gonna cheat. Then all of 264 00:15:15,400 --> 00:15:18,800 Speaker 1: a sudden they got really quiet. I wonder why, perhaps 265 00:15:18,840 --> 00:15:21,120 Speaker 1: because they figured out how to cheat, and so then 266 00:15:21,120 --> 00:15:23,040 Speaker 1: it didn't matter anymore. Because they're like, oh, we got 267 00:15:23,080 --> 00:15:25,960 Speaker 1: it rigged. We're good. That whole expression too big to 268 00:15:26,040 --> 00:15:28,560 Speaker 1: rig exists for a reason. But I'm down a rabbit hole. 269 00:15:28,600 --> 00:15:31,840 Speaker 1: So January sixth, there were these pipe bombs place and 270 00:15:31,880 --> 00:15:34,680 Speaker 1: they kept trying to figure out where it came from. 271 00:15:34,760 --> 00:15:38,040 Speaker 1: Who's the person that placed the pipe bombs? So this 272 00:15:38,120 --> 00:15:41,560 Speaker 1: report came out today. For what it's worth, I did 273 00:15:41,600 --> 00:15:44,080 Speaker 1: a little background and it appears that this is correct 274 00:15:44,840 --> 00:15:49,080 Speaker 1: that SHAWNE. Kerkhoff, who was a Capitol police officer on 275 00:15:49,160 --> 00:15:55,480 Speaker 1: January sixth, failed a November FBI polygraph test when she 276 00:15:55,720 --> 00:16:00,000 Speaker 1: was asked if she placed the pipe bombs on January fifth, 277 00:16:00,240 --> 00:16:03,320 Speaker 1: twenty twenty one. Now this is coming out into court filing, 278 00:16:03,320 --> 00:16:04,920 Speaker 1: so I'm going to read to you what it says. 279 00:16:05,520 --> 00:16:08,720 Speaker 1: You tell me what you think. Shawnie Kerkhoff was named 280 00:16:08,720 --> 00:16:11,520 Speaker 1: as a person of interests in the January fifth and sixth, 281 00:16:11,560 --> 00:16:15,920 Speaker 1: twenty twenty one pipe bomb investigation. Miss Kirkhoff was a 282 00:16:16,080 --> 00:16:20,040 Speaker 1: US Capitol Police officer on January sixth and was present 283 00:16:20,160 --> 00:16:23,920 Speaker 1: at the Capitol on that date. Miss Kerkhoff now works 284 00:16:23,960 --> 00:16:28,240 Speaker 1: for the Central Intelligence Agency. According to discovery produced by 285 00:16:28,240 --> 00:16:33,040 Speaker 1: the government in this case, the FBI began investigating, questioning, 286 00:16:33,160 --> 00:16:36,920 Speaker 1: and covertly surveilling Miss Kerkhoff during the time it began 287 00:16:37,080 --> 00:16:41,840 Speaker 1: investigating mister Cole. On November sixth, twenty twenty five, Miss 288 00:16:41,960 --> 00:16:46,240 Speaker 1: Kerkhoff was interviewed by the FBI and took a polygraph examination. 289 00:16:47,040 --> 00:16:50,880 Speaker 1: She was asked two relevant questions, Number one, did you 290 00:16:51,000 --> 00:16:55,680 Speaker 1: place those pipe bombs? And number two did you place 291 00:16:56,040 --> 00:17:01,040 Speaker 1: those pipe bombs? That evening Miss Kerkhoff fell the polygraph. 292 00:17:01,560 --> 00:17:07,080 Speaker 1: The FBI polygraph examer noted Kerkhoff's very controlled reaction to 293 00:17:07,200 --> 00:17:11,040 Speaker 1: the news of her failing the polygraph. How weird is that? 294 00:17:12,080 --> 00:17:15,560 Speaker 1: And you haven't heard it anywhere? I mean, this came 295 00:17:15,600 --> 00:17:18,800 Speaker 1: out today. People are talking about it today on X 296 00:17:19,240 --> 00:17:22,080 Speaker 1: and I'm like, I have never heard this before. I 297 00:17:22,119 --> 00:17:24,159 Speaker 1: don't know if I'm just asleep at the switch, but 298 00:17:24,240 --> 00:17:27,560 Speaker 1: if you're like me, I'm like, what this is actually 299 00:17:27,720 --> 00:17:31,000 Speaker 1: big news, Like we need to find out what this 300 00:17:31,040 --> 00:17:34,560 Speaker 1: woman knew and when she knew it. And they said 301 00:17:34,600 --> 00:17:39,720 Speaker 1: that her I guess a lot of the forensic observations 302 00:17:39,760 --> 00:17:44,119 Speaker 1: and investigations, she matches the person of interest. It's like 303 00:17:44,200 --> 00:17:49,160 Speaker 1: a ninety three percent match. I was like, Okay, there's 304 00:17:49,200 --> 00:17:53,800 Speaker 1: something truly off. Here. And I also think that if 305 00:17:53,840 --> 00:17:55,840 Speaker 1: we look at the clothing, and then you look at 306 00:17:55,840 --> 00:18:00,439 Speaker 1: the clothing that was shown on the person, it's like, man, 307 00:18:01,440 --> 00:18:05,080 Speaker 1: I really am struggling with why we're not looking at 308 00:18:05,080 --> 00:18:09,520 Speaker 1: this more. Yeah. A computer program that match the bomb 309 00:18:09,680 --> 00:18:13,240 Speaker 1: suspect's gate to that of Shawny Kirkoff produced a ninety 310 00:18:13,320 --> 00:18:16,159 Speaker 1: four percent match. And when you look at it and 311 00:18:16,200 --> 00:18:18,040 Speaker 1: then you watch her walk and you look at all 312 00:18:18,160 --> 00:18:21,840 Speaker 1: the videos and pictures they have of her, I'm like, yeah, Okay, 313 00:18:21,880 --> 00:18:25,159 Speaker 1: that's that. I mean, it's just strange. Right. We have 314 00:18:25,200 --> 00:18:26,880 Speaker 1: to sort of raise our eyebrows and go, all right, 315 00:18:26,920 --> 00:18:31,040 Speaker 1: that's a little weird. In any event, I think those 316 00:18:31,040 --> 00:18:34,280 Speaker 1: are things that definitely bear a little bit more investigation 317 00:18:34,440 --> 00:18:38,960 Speaker 1: and definitely a deeper dive into what we are trying 318 00:18:39,000 --> 00:18:44,040 Speaker 1: to discover about January sixth, because we are we're literally 319 00:18:45,240 --> 00:18:48,360 Speaker 1: still looking for answers. We don't have answers, and we're 320 00:18:48,359 --> 00:18:51,520 Speaker 1: told that if we try to ask questions that were 321 00:18:51,560 --> 00:18:55,159 Speaker 1: the problem. The second story that we didn't hear a 322 00:18:55,160 --> 00:18:58,359 Speaker 1: lot about today is that a seven month old baby 323 00:18:58,680 --> 00:19:02,840 Speaker 1: was shot to death in broad daylight in Brooklyn during 324 00:19:02,880 --> 00:19:06,280 Speaker 1: a random shooting. So the city and the state that 325 00:19:06,320 --> 00:19:08,359 Speaker 1: doesn't want you to have guns, doesn't want you to 326 00:19:08,359 --> 00:19:11,080 Speaker 1: have mace, doesn't want you to have a knife, has 327 00:19:11,119 --> 00:19:15,159 Speaker 1: people being thrown into subways, set on fire on subways, 328 00:19:15,520 --> 00:19:17,320 Speaker 1: and if you're a baby and a stroller, you can 329 00:19:17,359 --> 00:19:21,040 Speaker 1: be shot dead in broad daylight in Brooklyn. Are you 330 00:19:21,119 --> 00:19:23,840 Speaker 1: kidding me? This is what we have going on? And 331 00:19:24,920 --> 00:19:28,160 Speaker 1: imagine you're a mom walking your baby and your child 332 00:19:28,240 --> 00:19:30,320 Speaker 1: is shot. It's the same shit that's going on in 333 00:19:30,400 --> 00:19:34,800 Speaker 1: Chicago all the time. These places that have this lockdown 334 00:19:34,840 --> 00:19:37,960 Speaker 1: on guns typically have the most violence, and you have 335 00:19:38,080 --> 00:19:41,720 Speaker 1: people that are trying to protect themselves, regular people. Do 336 00:19:41,720 --> 00:19:43,680 Speaker 1: you know how hard it is to get a concealed 337 00:19:43,760 --> 00:19:46,879 Speaker 1: carry in states like New York? You need to have 338 00:19:46,920 --> 00:19:51,639 Speaker 1: over two thousand verified death threats in order to get 339 00:19:51,680 --> 00:19:54,800 Speaker 1: a concealed carry in a state like New York. Why, 340 00:19:55,760 --> 00:19:58,000 Speaker 1: I'm telling you I have a burn up by RNA. 341 00:19:58,200 --> 00:20:00,280 Speaker 1: If you don't have one, I strongly advise you to 342 00:20:00,320 --> 00:20:03,120 Speaker 1: get one. They're friends and they're great people, they run 343 00:20:03,160 --> 00:20:06,439 Speaker 1: a great company, and it is legal in all fifty states. 344 00:20:06,520 --> 00:20:08,520 Speaker 1: You do not need a permit and you can actually 345 00:20:08,600 --> 00:20:12,720 Speaker 1: protect yourself. This is the stuff that really frightens me 346 00:20:13,359 --> 00:20:15,160 Speaker 1: and you have to be able to protect and your 347 00:20:15,200 --> 00:20:17,879 Speaker 1: family for that matter. Like I don't know in this case. 348 00:20:17,920 --> 00:20:20,359 Speaker 1: I mean, if there's somebody riding away. They have a 349 00:20:20,400 --> 00:20:23,000 Speaker 1: shot of the guy with the gun in Brooklyn. He's 350 00:20:23,040 --> 00:20:25,159 Speaker 1: like on the back of a scooter. One guy's driving 351 00:20:25,440 --> 00:20:27,560 Speaker 1: and he's got his arm out with the gun. He's 352 00:20:27,600 --> 00:20:31,480 Speaker 1: just shooting. It's two o'clock in the afternoon on a Wednesday, 353 00:20:32,200 --> 00:20:34,480 Speaker 1: and he's just shooting. There's kids getting out of school, 354 00:20:34,480 --> 00:20:36,399 Speaker 1: there's kids in the park at spring break. For a 355 00:20:36,440 --> 00:20:40,280 Speaker 1: lot of these kids this week, zero respect for the 356 00:20:40,400 --> 00:20:43,680 Speaker 1: value of life. That's what we're raising right now. And 357 00:20:43,720 --> 00:20:46,560 Speaker 1: that goes into another issue because a lot of these 358 00:20:46,640 --> 00:20:49,440 Speaker 1: kids that are getting shot are getting shot by kids. 359 00:20:50,119 --> 00:20:53,679 Speaker 1: And these kids are spending all of their time on YouTube, 360 00:20:54,160 --> 00:20:57,800 Speaker 1: on these games, talking to people in chat rooms. They're 361 00:20:57,800 --> 00:21:01,880 Speaker 1: getting zero education from the school system. They're getting pushed through. 362 00:21:02,200 --> 00:21:04,920 Speaker 1: They have parents that aren't around, and sometimes the parents 363 00:21:04,960 --> 00:21:09,200 Speaker 1: aren't around because they're also a problem, or they're not 364 00:21:09,280 --> 00:21:12,520 Speaker 1: around because it's so damn expensive to live in New 365 00:21:12,600 --> 00:21:14,880 Speaker 1: York to live in New York City that they have 366 00:21:14,960 --> 00:21:18,320 Speaker 1: to work eighty hours to one hundred hours a week. 367 00:21:18,560 --> 00:21:20,800 Speaker 1: They're not home they can't be with their kids, and 368 00:21:20,840 --> 00:21:23,560 Speaker 1: their kids are left of their own devices. We have 369 00:21:23,680 --> 00:21:25,720 Speaker 1: to get back to a place where we could be 370 00:21:25,800 --> 00:21:29,040 Speaker 1: with our children. The time that we spend with them, 371 00:21:29,320 --> 00:21:32,480 Speaker 1: I mean, they're literally you think about like a lifetime, right. 372 00:21:33,320 --> 00:21:36,800 Speaker 1: The time that you are a child is so short 373 00:21:37,080 --> 00:21:39,280 Speaker 1: over the grand scheme of things, the decades that you're 374 00:21:39,280 --> 00:21:42,560 Speaker 1: going to spend on this earth, and that time as 375 00:21:42,600 --> 00:21:45,080 Speaker 1: a child literally frames you for the rest of your life. 376 00:21:45,880 --> 00:21:47,639 Speaker 1: And it can make you a good person. It can 377 00:21:47,680 --> 00:21:49,639 Speaker 1: make you a bad person. It can make you a 378 00:21:49,680 --> 00:21:53,520 Speaker 1: person that you know is able to overcome, or it 379 00:21:53,520 --> 00:21:55,639 Speaker 1: can make you a person that says, I'm allowed to 380 00:21:55,680 --> 00:21:57,639 Speaker 1: do this because nobody's telling me I'm not, and you 381 00:21:57,640 --> 00:21:59,680 Speaker 1: have no accountability, and you end up being the guy 382 00:22:00,040 --> 00:22:02,520 Speaker 1: that pulls a gun out in Brooklyn at two o'clock 383 00:22:02,600 --> 00:22:05,040 Speaker 1: on a Wednesday, and then a seven month old is dead. 384 00:22:06,440 --> 00:22:09,560 Speaker 1: And that dovetails into my next story of the day. 385 00:22:10,240 --> 00:22:15,880 Speaker 1: There's public schools in Boston that are teaching children how 386 00:22:15,920 --> 00:22:20,639 Speaker 1: to protest. They have homemade signs they're hanging they had 387 00:22:20,880 --> 00:22:24,640 Speaker 1: they're walking around. It looks like a little tiny classroom 388 00:22:25,680 --> 00:22:28,840 Speaker 1: and they have paper signs sticking to like popsicle sticks 389 00:22:28,920 --> 00:22:34,359 Speaker 1: or something, bashing the president, teaching them to protest, and 390 00:22:34,400 --> 00:22:37,120 Speaker 1: they're marching around and screaming. And there's one little girl 391 00:22:37,119 --> 00:22:39,840 Speaker 1: by herself, just sitting at a table. And they're little. 392 00:22:39,960 --> 00:22:43,199 Speaker 1: I mean, these kids are probably seven or eight. This 393 00:22:43,320 --> 00:22:45,080 Speaker 1: is what they're doing with your children. So you're at 394 00:22:45,080 --> 00:22:48,359 Speaker 1: work and these kids are marching around what looks like 395 00:22:48,359 --> 00:22:52,880 Speaker 1: their library at their school, screaming against the president and 396 00:22:52,920 --> 00:22:59,000 Speaker 1: pretending to protest. All right, it's so upsetting. There's got 397 00:22:59,040 --> 00:23:01,320 Speaker 1: to be a spot where we can say, as parents, 398 00:23:01,960 --> 00:23:05,840 Speaker 1: that's enough. That's not a thing. We are not going 399 00:23:05,880 --> 00:23:08,720 Speaker 1: to have this. And let me tell you something, this 400 00:23:08,840 --> 00:23:12,440 Speaker 1: is a much bigger issue because as we look at 401 00:23:12,480 --> 00:23:14,560 Speaker 1: all of the other things that happen, as I just said, 402 00:23:14,560 --> 00:23:17,800 Speaker 1: if you are not a part of your children's lives, 403 00:23:17,840 --> 00:23:21,240 Speaker 1: if you are not a part of what they're seeing 404 00:23:21,320 --> 00:23:23,440 Speaker 1: every single day, and you don't tell them, hey, that's 405 00:23:23,440 --> 00:23:26,159 Speaker 1: not right. We don't need to protest. We don't need 406 00:23:26,200 --> 00:23:27,679 Speaker 1: to be out in the street. We don't need to 407 00:23:27,680 --> 00:23:31,080 Speaker 1: be causing trouble. We need to be focused on ourselves. 408 00:23:31,800 --> 00:23:36,080 Speaker 1: Put God back into your life, put your education first, 409 00:23:36,400 --> 00:23:39,639 Speaker 1: put your family first, get your kids off their phones 410 00:23:39,640 --> 00:23:42,600 Speaker 1: and their xboxes and their PS fives, And I know 411 00:23:42,640 --> 00:23:44,639 Speaker 1: it's hard. I got four kids. They all like all 412 00:23:44,680 --> 00:23:47,240 Speaker 1: those things. But when we sit down to dinner, we 413 00:23:47,280 --> 00:23:50,160 Speaker 1: don't have phones at the table. And if my husband's 414 00:23:50,160 --> 00:23:52,680 Speaker 1: working late, I make sure that's the day that I'm 415 00:23:52,720 --> 00:23:54,800 Speaker 1: at the dinner table alone with them. But I'm hearing 416 00:23:54,800 --> 00:23:57,760 Speaker 1: about their day. If they need me, they know they 417 00:23:57,800 --> 00:24:00,920 Speaker 1: can always get me. They always come first. There's never 418 00:24:00,960 --> 00:24:02,440 Speaker 1: going to be a time where I'm going to say 419 00:24:02,520 --> 00:24:06,440 Speaker 1: I can't do that, I can't be there for you. You're 420 00:24:05,800 --> 00:24:07,400 Speaker 1: going to have to figure that out on your own. 421 00:24:07,840 --> 00:24:10,320 Speaker 1: And even when my kids have had to do things 422 00:24:10,359 --> 00:24:13,080 Speaker 1: on their own per se, I'm still prepping them. I'm 423 00:24:13,119 --> 00:24:16,640 Speaker 1: still getting them ready. I'm still a part of whatever 424 00:24:16,760 --> 00:24:19,919 Speaker 1: is going on. My husband is the same way. But 425 00:24:20,000 --> 00:24:23,919 Speaker 1: there's a there really is a larger issue when you 426 00:24:23,960 --> 00:24:27,320 Speaker 1: get to a spot and you have your tax dollars 427 00:24:27,840 --> 00:24:32,600 Speaker 1: going there and they're protesting and they're seven and eight, 428 00:24:33,440 --> 00:24:35,880 Speaker 1: and it's funny, you know, I look at this Artemis 429 00:24:35,960 --> 00:24:42,359 Speaker 1: launched today, and you know, we're sending four astronauts to space, 430 00:24:43,320 --> 00:24:48,879 Speaker 1: and what is so stupid? And I maybe I'm alone 431 00:24:48,920 --> 00:24:52,560 Speaker 1: in this theory. But does it really matter that one 432 00:24:52,600 --> 00:24:56,440 Speaker 1: guy is black, that one person is a woman, that 433 00:24:56,480 --> 00:25:00,359 Speaker 1: one person's a Canadian? Does it matter? Is is there 434 00:25:00,400 --> 00:25:03,000 Speaker 1: a reason why we need to point out the race 435 00:25:03,040 --> 00:25:07,160 Speaker 1: and gender of the astronauts. Isn't it enough to just say, hey, 436 00:25:07,240 --> 00:25:10,920 Speaker 1: this is great, we're going back to the moon, and 437 00:25:11,400 --> 00:25:16,200 Speaker 1: we're excited and these astronauts are ready for this, and 438 00:25:16,359 --> 00:25:19,720 Speaker 1: we're going to cheer them on because this is history 439 00:25:20,240 --> 00:25:24,919 Speaker 1: and wonderful. Okay. But instead we're like, well, this woman, 440 00:25:25,040 --> 00:25:28,600 Speaker 1: she'll be this she's a woman of color, and this 441 00:25:28,680 --> 00:25:31,359 Speaker 1: is a black man, and then we have a Canadian 442 00:25:31,440 --> 00:25:35,720 Speaker 1: showing the shut up? Who gives us shit? Nobody cares. 443 00:25:36,520 --> 00:25:38,320 Speaker 1: I was just talking with my mom about this today. 444 00:25:38,359 --> 00:25:41,359 Speaker 1: I'm like, can't it just be we have four great astronauts. Well, 445 00:25:41,400 --> 00:25:44,320 Speaker 1: all of the previous astronauts that went to the moon 446 00:25:44,320 --> 00:25:46,919 Speaker 1: were white, most of the astronauts that have traveled in 447 00:25:46,960 --> 00:25:52,040 Speaker 1: space were white. What what does that matter? If you 448 00:25:52,080 --> 00:25:55,159 Speaker 1: are the right person for the job, you should get 449 00:25:55,200 --> 00:25:57,840 Speaker 1: the job. I mean, I almost feel like we have 450 00:25:57,880 --> 00:26:00,440 Speaker 1: to be like one of those singing shows. Can't remember 451 00:26:00,440 --> 00:26:02,040 Speaker 1: which show it is, but there's a show where like 452 00:26:02,080 --> 00:26:04,000 Speaker 1: they don't look at the person singing. They just hear 453 00:26:04,040 --> 00:26:06,320 Speaker 1: them and then they turn around and they hit the 454 00:26:06,359 --> 00:26:09,600 Speaker 1: button if they like whoever is singing, right, Like, that's 455 00:26:09,640 --> 00:26:12,760 Speaker 1: how it should be for your candidate. You shouldn't know 456 00:26:12,920 --> 00:26:17,000 Speaker 1: their race, you shouldn't know their background or whatever, and 457 00:26:17,160 --> 00:26:20,120 Speaker 1: just look at their resume. Are they a good fit, terrific? 458 00:26:20,600 --> 00:26:22,439 Speaker 1: Then you can bring them in for the interview and 459 00:26:22,480 --> 00:26:25,720 Speaker 1: see how they are in person. If they are terrible 460 00:26:25,760 --> 00:26:30,160 Speaker 1: in person, but you hire them anyway because they fulfill 461 00:26:30,240 --> 00:26:33,560 Speaker 1: some sort of quota, whether it be race or gender, 462 00:26:34,160 --> 00:26:38,520 Speaker 1: you are the problem. Stop doing that. It's really not 463 00:26:38,680 --> 00:26:41,600 Speaker 1: a fair way. Like, we work so much better as 464 00:26:41,640 --> 00:26:45,800 Speaker 1: a society, as a meritocracy. It's like when you see 465 00:26:45,920 --> 00:26:48,280 Speaker 1: people in Congress, like I look at this guy Meeks 466 00:26:48,400 --> 00:26:55,040 Speaker 1: or Al Green or Jasmine Crockett. They speak so it's 467 00:26:55,080 --> 00:27:00,400 Speaker 1: not even colloquial. It's almost like they dumbed down way 468 00:27:00,480 --> 00:27:04,680 Speaker 1: that they should speak. As a member of Congress, you're 469 00:27:04,720 --> 00:27:08,520 Speaker 1: clearly educated. You've made it this far. You're supposed to 470 00:27:08,560 --> 00:27:13,760 Speaker 1: be representing your community, and you're doing stupid music videos 471 00:27:13,800 --> 00:27:17,280 Speaker 1: in the halls of Congress. You're not showing up for 472 00:27:18,200 --> 00:27:21,280 Speaker 1: informational and advisory meetings for committees you belong on, and 473 00:27:21,280 --> 00:27:23,919 Speaker 1: then when you give testimony you get called out on 474 00:27:23,960 --> 00:27:25,840 Speaker 1: the carpet because they say, well, you don't know what's 475 00:27:25,840 --> 00:27:27,440 Speaker 1: going on because you don't show up for the meetings. 476 00:27:28,520 --> 00:27:29,879 Speaker 1: And they say, oh, you can't say that to me, 477 00:27:29,920 --> 00:27:34,159 Speaker 1: it's racist. What how is you not doing your job 478 00:27:34,560 --> 00:27:36,919 Speaker 1: and me saying you should do your job make me 479 00:27:36,960 --> 00:27:40,760 Speaker 1: a racist. I'm pretty sure it makes you and insubordinate. 480 00:27:41,240 --> 00:27:43,840 Speaker 1: I'm pretty sure it makes you not doing your job. 481 00:27:45,200 --> 00:27:49,480 Speaker 1: I'm just tired of being focused on all of the 482 00:27:49,520 --> 00:27:52,440 Speaker 1: wrong things and all of the things that don't make sense. 483 00:27:53,240 --> 00:27:55,320 Speaker 1: We have to get back to basics. There's got to 484 00:27:55,320 --> 00:28:01,440 Speaker 1: be some point where we have common sense. Additionally, if 485 00:28:01,480 --> 00:28:10,359 Speaker 1: we have illegal aliens constantly committing crimes, constantly killing innocent people, children, women, 486 00:28:11,280 --> 00:28:13,960 Speaker 1: why can't we have the common sense to remove them. 487 00:28:15,280 --> 00:28:19,320 Speaker 1: You have kids protesting the president because you're upset that 488 00:28:20,160 --> 00:28:24,520 Speaker 1: he wants to enforce DHS. ICE is already funded. You're 489 00:28:24,600 --> 00:28:26,560 Speaker 1: upset that he wants to have things on the up. 490 00:28:26,560 --> 00:28:29,800 Speaker 1: He wants voter integrity, he wants citizens in America to 491 00:28:29,840 --> 00:28:32,399 Speaker 1: be a part of the process and non citizens to 492 00:28:32,440 --> 00:28:37,840 Speaker 1: get out. Why is that a bad thing? How are 493 00:28:37,880 --> 00:28:41,680 Speaker 1: we supposed to survive if only a very small portion 494 00:28:41,800 --> 00:28:44,680 Speaker 1: of the country believes in what the country stood for, 495 00:28:45,160 --> 00:28:47,680 Speaker 1: believe in what the country stands for now and what 496 00:28:47,720 --> 00:28:50,480 Speaker 1: we hope to stand for in the future. If you're 497 00:28:50,520 --> 00:28:53,880 Speaker 1: looking to break us down, if you're looking to not assimilate, 498 00:28:54,240 --> 00:28:57,200 Speaker 1: if you're looking to be the problem, please go back 499 00:28:57,200 --> 00:29:01,160 Speaker 1: to whereever you came from. Go be a problem there. 500 00:29:01,760 --> 00:29:05,080 Speaker 1: We don't need it here. And while this podcast is 501 00:29:05,120 --> 00:29:08,720 Speaker 1: a mishmash of topics, they're all topics that bother many 502 00:29:08,800 --> 00:29:11,480 Speaker 1: of us every day. They may be stories you haven't 503 00:29:11,480 --> 00:29:14,320 Speaker 1: heard of, but each of them are relatable to something 504 00:29:14,320 --> 00:29:17,840 Speaker 1: that is unfinished and it's unaddressed in our society and 505 00:29:17,880 --> 00:29:19,600 Speaker 1: we need to just start talking about it or it's 506 00:29:19,600 --> 00:29:21,880 Speaker 1: never going to get fixed. We certainly can't leave it 507 00:29:21,960 --> 00:29:23,920 Speaker 1: up to Congress. They can't do shit. We got like 508 00:29:24,000 --> 00:29:26,640 Speaker 1: one senator holding the line there, and its Senator Mike Lee, 509 00:29:27,040 --> 00:29:29,240 Speaker 1: and we got like two or three members of Congress. 510 00:29:30,040 --> 00:29:32,920 Speaker 1: Everybody else is just in it for themselves. It's actually 511 00:29:32,960 --> 00:29:35,680 Speaker 1: super depressing to see people that I once thought were 512 00:29:35,720 --> 00:29:39,520 Speaker 1: like really good people and now we're finding out they 513 00:29:39,520 --> 00:29:42,200 Speaker 1: don't care either. We saw who went home this weekend. 514 00:29:42,560 --> 00:29:44,960 Speaker 1: We saw who went to Walt Disney World, we saw 515 00:29:45,000 --> 00:29:47,800 Speaker 1: who was on cruises, who was hanging out with celebrities. 516 00:29:48,360 --> 00:29:52,920 Speaker 1: It's not hard. It's actually very easy and very upsetting. 517 00:29:53,280 --> 00:29:56,040 Speaker 1: And I think what we're looking at now is it 518 00:29:56,440 --> 00:30:00,480 Speaker 1: is a time for choosing. It truly is. And even 519 00:30:00,520 --> 00:30:03,760 Speaker 1: my own governor here, you know, he's a Democrat here 520 00:30:03,760 --> 00:30:06,760 Speaker 1: in Pennsylvania, and he says, you know, common sense voter 521 00:30:06,840 --> 00:30:10,720 Speaker 1: id laws that you know the majority of Americans you know, support, 522 00:30:10,760 --> 00:30:12,680 Speaker 1: like the Save America Act. He says, we're going to 523 00:30:12,720 --> 00:30:17,560 Speaker 1: suppress the vote. Why does he not want just Americans 524 00:30:17,640 --> 00:30:22,800 Speaker 1: voting in Pennsylvania? Oh? I know, because you can't win 525 00:30:22,920 --> 00:30:25,719 Speaker 1: unless the legals vote and you can steal because everybody 526 00:30:25,760 --> 00:30:27,600 Speaker 1: hates you and knows you're a lying sack of shit. 527 00:30:28,800 --> 00:30:32,880 Speaker 1: So's Pritzker, so is Newsome, so is half of Congress. 528 00:30:34,080 --> 00:30:39,040 Speaker 1: You guys can't win unless you have fraudulent votes. Because 529 00:30:39,080 --> 00:30:42,000 Speaker 1: the American people have woken up and we're on to you. 530 00:30:43,080 --> 00:30:45,200 Speaker 1: I really hope they passed the Save Act, guys, I'm 531 00:30:45,200 --> 00:30:47,720 Speaker 1: telling you right now. If they don't pack the past 532 00:30:47,760 --> 00:30:50,720 Speaker 1: this Save Act, America as we know it is over, 533 00:30:51,520 --> 00:30:55,440 Speaker 1: completely over. And that is not an April Fol's joke. 534 00:30:56,120 --> 00:30:58,760 Speaker 1: This is Linda McLaughlin. You have been listening to the 535 00:30:58,840 --> 00:31:01,320 Speaker 1: Rogue Recap. Please check us out at road recap dot com, 536 00:31:01,320 --> 00:31:04,680 Speaker 1: at lindamick at Roague Recap. Please be safe out there, 537 00:31:05,080 --> 00:31:07,880 Speaker 1: Pray for our troops. See you tomorrow. Good night,