1 00:00:03,520 --> 00:00:06,360 Speaker 1: My name is Charlie kirk I run the largest pro 2 00:00:06,400 --> 00:00:09,960 Speaker 1: American student organization in the country, fighting for the future 3 00:00:10,080 --> 00:00:13,360 Speaker 1: of our republic. My call is to fight evil and 4 00:00:13,480 --> 00:00:16,520 Speaker 1: to proclaim truth. If the most important thing for you 5 00:00:16,960 --> 00:00:19,919 Speaker 1: is just feeling good, you're gonna end up miserable. But 6 00:00:20,000 --> 00:00:23,200 Speaker 1: if the most important thing is doing good, you'll end 7 00:00:23,280 --> 00:00:26,400 Speaker 1: up purposeful. College is a scam, everybody. You got to 8 00:00:26,400 --> 00:00:28,600 Speaker 1: stop sending your kids to college. You should get married 9 00:00:28,640 --> 00:00:31,160 Speaker 1: as young as possible and have as many kids as possible. 10 00:00:31,240 --> 00:00:33,280 Speaker 1: Go start at turning point, you would say college chapter. 11 00:00:33,479 --> 00:00:35,599 Speaker 1: Go start aturning point youould say high school chapter. Go 12 00:00:35,640 --> 00:00:37,280 Speaker 1: find out how your church can get involved. 13 00:00:37,440 --> 00:00:38,880 Speaker 2: Sign up and become an activist. 14 00:00:39,000 --> 00:00:40,880 Speaker 1: I gave my life to the Lord in fifth grade, 15 00:00:41,200 --> 00:00:43,879 Speaker 1: most important decision I ever made in my life, and 16 00:00:43,920 --> 00:00:46,000 Speaker 1: I encourage you to do the same. Here I am. 17 00:00:46,200 --> 00:00:47,120 Speaker 2: Lord, Use me. 18 00:00:48,200 --> 00:00:57,800 Speaker 1: Buckle up, everybody, Here we go. Noble Gold Investments is 19 00:00:57,800 --> 00:01:01,120 Speaker 1: the official gold sponsor of the Charlie Kirkshaw, a company 20 00:01:01,120 --> 00:01:05,160 Speaker 1: that specializes in gold I rays and physical delivery of 21 00:01:05,200 --> 00:01:09,000 Speaker 1: precious metals. Learn how you could protect your wealth with 22 00:01:09,120 --> 00:01:14,360 Speaker 1: Noble Gold Investments at noblegoldinvestments dot Com. That is Noblegoldinvestments 23 00:01:14,400 --> 00:01:17,360 Speaker 1: dot Com. 24 00:01:17,480 --> 00:01:20,280 Speaker 2: All Right, welcome to the Charlie Kirk Show. It's Friday, 25 00:01:20,480 --> 00:01:23,280 Speaker 2: July twenty fourth, twenty twenty six, and we are at 26 00:01:23,280 --> 00:01:26,320 Speaker 2: the y Refi studios, both remote and in Phoenix, Arizona. 27 00:01:26,640 --> 00:01:28,119 Speaker 2: Like's holding it down with the mic flag. 28 00:01:28,280 --> 00:01:31,320 Speaker 3: You keep carrying a mobile Yrefic studio, but I feel 29 00:01:31,360 --> 00:01:35,080 Speaker 3: like only one y Refi studio has I. 30 00:01:35,040 --> 00:01:37,560 Speaker 2: Don't want to bicker with you today. It's Friday. I'm 31 00:01:37,600 --> 00:01:41,800 Speaker 2: feeling light in area because it's Friday. We're rolling into 32 00:01:41,880 --> 00:01:45,039 Speaker 2: the weekend. It's gonna be a great weekend. We're gonna 33 00:01:45,080 --> 00:01:47,360 Speaker 2: start off today's show with a bang. If you saw 34 00:01:47,400 --> 00:01:50,040 Speaker 2: the cold open with Elon Musk, that was a great interview. 35 00:01:50,040 --> 00:01:52,360 Speaker 2: I recommend people watch it. He did a great job 36 00:01:53,280 --> 00:01:57,360 Speaker 2: in that. But we've got Evan Barker. Evan Barker is 37 00:01:57,400 --> 00:02:00,640 Speaker 2: somebody that I've been following for a while. She's a 38 00:02:00,680 --> 00:02:05,400 Speaker 2: former Democrat operative and fundraiser. She raised over fifty million 39 00:02:05,480 --> 00:02:10,520 Speaker 2: dollars for Democrats, some of them very far left, and 40 00:02:10,560 --> 00:02:13,720 Speaker 2: she's the author of a new book called Nothing Left, 41 00:02:14,520 --> 00:02:19,239 Speaker 2: Confessions of a Democrat Operative. Evan, Welcome to the show. 42 00:02:19,320 --> 00:02:21,960 Speaker 2: It's great to have you. I kind of wait to 43 00:02:21,960 --> 00:02:22,840 Speaker 2: have this discussion. 44 00:02:24,000 --> 00:02:28,120 Speaker 4: I welcome, welcome, Yeah, long time to see. I think 45 00:02:28,160 --> 00:02:30,239 Speaker 4: I saw you at a turn I know, right. 46 00:02:30,160 --> 00:02:33,520 Speaker 2: I have. I was gonna say I've met you in 47 00:02:33,560 --> 00:02:36,240 Speaker 2: person once. It was brief because I am always running 48 00:02:36,240 --> 00:02:38,400 Speaker 2: around like a crazy person at our events. But I 49 00:02:38,440 --> 00:02:40,680 Speaker 2: saw you there and it's great to have you on 50 00:02:40,720 --> 00:02:43,240 Speaker 2: the show. This was something that we planned to do 51 00:02:43,320 --> 00:02:46,480 Speaker 2: with Charlie because we were in touch just you know, 52 00:02:46,919 --> 00:02:50,840 Speaker 2: here and there, and I saw your journey play out. 53 00:02:51,160 --> 00:02:55,600 Speaker 2: You have this new book and it's Confessions. It's nothing left, 54 00:02:55,600 --> 00:02:59,240 Speaker 2: Confessions of a Democrat Operative. You raised over fifty million 55 00:02:59,560 --> 00:03:04,600 Speaker 2: dollars for Democrats. You've worked with people that people listening 56 00:03:04,639 --> 00:03:08,079 Speaker 2: to the show will have heard of, Abdul Lsied. You 57 00:03:08,160 --> 00:03:11,920 Speaker 2: worked with AOC's team, with Bernie's team, with Jasmine Crockett. 58 00:03:13,360 --> 00:03:17,240 Speaker 2: You've at least been around the same circles as Ilhan Omar, 59 00:03:17,360 --> 00:03:21,480 Speaker 2: Jamal Bowman, Brad Lander, Corey Bush, Justice Democrats and other 60 00:03:21,600 --> 00:03:26,440 Speaker 2: DSA line packs. And then something happened. You put out 61 00:03:26,480 --> 00:03:30,080 Speaker 2: a TikTok to your sixty followers and your world forever changed. 62 00:03:30,120 --> 00:03:31,760 Speaker 2: Why don't you start there? 63 00:03:32,240 --> 00:03:35,000 Speaker 4: Yeah, my world forever change that day. You know, I 64 00:03:35,040 --> 00:03:37,920 Speaker 4: went to the DNC in twenty twenty four, just like 65 00:03:37,960 --> 00:03:40,240 Speaker 4: you did. I think we briefly talked about how you 66 00:03:40,280 --> 00:03:43,640 Speaker 4: guys were also there, and at that point I had 67 00:03:43,640 --> 00:03:50,040 Speaker 4: actually been out of progressive politics for a couple of years. 68 00:03:50,120 --> 00:03:51,120 Speaker 2: I had a little. 69 00:03:51,000 --> 00:03:54,400 Speaker 4: Baby boy in June of twenty twenty two, and after 70 00:03:54,440 --> 00:03:56,640 Speaker 4: I had him, I decided to take a step back 71 00:03:56,680 --> 00:03:59,840 Speaker 4: from fundraising and just focus on being a mom. And 72 00:04:00,080 --> 00:04:05,040 Speaker 4: can talk more later about how motherhood actually also helped reshape. 73 00:04:04,720 --> 00:04:06,240 Speaker 5: My political views quite a bit. 74 00:04:07,240 --> 00:04:11,000 Speaker 4: But I decided in twenty twenty four, after it was 75 00:04:11,040 --> 00:04:14,400 Speaker 4: apparent that Joe Biden would not be the nominee to 76 00:04:14,920 --> 00:04:17,960 Speaker 4: go to the Democratic National Convention and the hopes that 77 00:04:18,080 --> 00:04:21,480 Speaker 4: I might see them remake themselves. At this point, I 78 00:04:21,800 --> 00:04:25,800 Speaker 4: was already a little disillusioned, to say the least, just 79 00:04:25,880 --> 00:04:29,880 Speaker 4: because all of the horrible experiences I had working for 80 00:04:29,960 --> 00:04:33,240 Speaker 4: all of those people that you just mentioned. You know, 81 00:04:33,279 --> 00:04:35,800 Speaker 4: I went to the DNC and I gave myself permission 82 00:04:35,880 --> 00:04:39,760 Speaker 4: to be reinspired. But when I got there and I 83 00:04:39,800 --> 00:04:43,640 Speaker 4: saw it in person, it was even worse than I remembered, 84 00:04:44,240 --> 00:04:47,000 Speaker 4: and I knew at that moment that there was no 85 00:04:47,040 --> 00:04:50,080 Speaker 4: way in hell, Kamala Harris was going to win. And 86 00:04:50,839 --> 00:04:54,160 Speaker 4: I actually ended up leaving night three of the DNC 87 00:04:54,760 --> 00:04:57,599 Speaker 4: right after Oprah Winfrey spoke, and I read about this 88 00:04:57,680 --> 00:05:00,520 Speaker 4: in my book. I left, and I I came home 89 00:05:00,560 --> 00:05:04,160 Speaker 4: a day early, and when I got home, I decided 90 00:05:04,240 --> 00:05:08,279 Speaker 4: that I was officially truly done working in democratic politics, 91 00:05:08,400 --> 00:05:12,200 Speaker 4: and so I posted a video on TikTok. I thought 92 00:05:12,360 --> 00:05:15,000 Speaker 4: it was only going to go out to like sixty people. 93 00:05:15,160 --> 00:05:18,120 Speaker 4: The people that I worked with followed me and I 94 00:05:18,160 --> 00:05:22,560 Speaker 4: want it was basically my resignation letter, and instead I 95 00:05:22,600 --> 00:05:26,440 Speaker 4: woke up and there was millions of views, and Charlie 96 00:05:26,480 --> 00:05:30,120 Speaker 4: kirk DMed me it was like people were talking about 97 00:05:30,160 --> 00:05:33,240 Speaker 4: on Fox News like it was. It turned into this 98 00:05:33,360 --> 00:05:37,760 Speaker 4: like totally whirlwind experience that I was not prepared for 99 00:05:37,800 --> 00:05:38,080 Speaker 4: at all. 100 00:05:38,960 --> 00:05:41,360 Speaker 3: So I brought it up here. I have your book 101 00:05:41,400 --> 00:05:43,200 Speaker 3: in front of me in PDF. I'm getting a big 102 00:05:43,240 --> 00:05:47,320 Speaker 3: kick out of this. Before Oprah's speech was over, I 103 00:05:47,600 --> 00:05:50,520 Speaker 3: was out the door. This is not the party I 104 00:05:50,560 --> 00:05:53,640 Speaker 3: once supported. There is nothing left. I like that image. 105 00:05:53,640 --> 00:05:56,280 Speaker 3: But you mentioned that this was this is the culmination 106 00:05:56,920 --> 00:06:00,560 Speaker 3: of very negative experiences you had with all those other 107 00:06:00,640 --> 00:06:05,120 Speaker 3: candidates that had been kind of this cascade of bad stuff. 108 00:06:05,240 --> 00:06:08,080 Speaker 3: Can you elaborate on that, because I mean, it's one thing. 109 00:06:08,320 --> 00:06:10,200 Speaker 3: Politics is a lot of work, but I gather it's 110 00:06:10,200 --> 00:06:13,240 Speaker 3: something more than that. It's like ideologically very negative. 111 00:06:13,520 --> 00:06:16,359 Speaker 4: Yeah, you know, I started supporting so I grew up 112 00:06:16,360 --> 00:06:19,640 Speaker 4: in a union family, like my mom's side of the family. 113 00:06:19,760 --> 00:06:22,960 Speaker 4: They're all they were all like union Democrats. My grandpa 114 00:06:23,160 --> 00:06:25,480 Speaker 4: was like an elected official in the Union and a 115 00:06:25,560 --> 00:06:31,960 Speaker 4: labor's construction worker union carpenters, bricklayers, and you know, I 116 00:06:31,960 --> 00:06:37,600 Speaker 4: grew up supporting Dems, and I got activated by Obama's 117 00:06:37,600 --> 00:06:41,280 Speaker 4: campaign in two thousand and eight. The Affordable Care Act, 118 00:06:41,279 --> 00:06:44,160 Speaker 4: the pre existing condition's clause of it really helped me 119 00:06:44,240 --> 00:06:47,560 Speaker 4: because I'm also born with a pre existing lung disease 120 00:06:47,600 --> 00:06:51,919 Speaker 4: similart assistic bibrosis, and so you know, I thought that 121 00:06:52,000 --> 00:06:54,760 Speaker 4: the Democratic Party fought for people like me, And over 122 00:06:54,880 --> 00:07:00,119 Speaker 4: time I watched my own family members slowly turn against them, 123 00:07:01,120 --> 00:07:05,240 Speaker 4: and at first it was confusing to me, but once 124 00:07:05,440 --> 00:07:09,520 Speaker 4: I started working deeper in the progressive movement. I had 125 00:07:09,560 --> 00:07:13,480 Speaker 4: worked with establishment Democrats prior to twenty eighteen, but after 126 00:07:14,880 --> 00:07:17,920 Speaker 4: Donald Trump was elected in twenty sixteen, I started working 127 00:07:18,360 --> 00:07:20,160 Speaker 4: with more of the far left wing of the party. 128 00:07:20,840 --> 00:07:24,000 Speaker 4: And I was really inspired at that time by Bernie 129 00:07:24,040 --> 00:07:31,160 Speaker 4: Sanders's message because he was the anti establishment option in 130 00:07:31,200 --> 00:07:34,240 Speaker 4: the Democratic Party. And I was frustrated with the establishment 131 00:07:34,360 --> 00:07:37,840 Speaker 4: for in my view, not really doing anything except for 132 00:07:37,880 --> 00:07:40,920 Speaker 4: the status quo for people, and I blamed them for 133 00:07:41,080 --> 00:07:45,320 Speaker 4: my family's disaffection. But once I got into Bernie's movement, 134 00:07:46,320 --> 00:07:48,560 Speaker 4: you know, and I visited. I was actually with AOC 135 00:07:48,720 --> 00:07:51,440 Speaker 4: and Bernie the very first day they ever met, you guys, 136 00:07:51,680 --> 00:07:55,800 Speaker 4: like the very first day at a rally in Kansas. 137 00:07:55,960 --> 00:07:59,880 Speaker 4: It was one month after she won her primary upset 138 00:08:00,120 --> 00:08:04,040 Speaker 4: was their first joint appearance together. And you know, at 139 00:08:04,080 --> 00:08:08,080 Speaker 4: first the Progressive populist movement seemed good. It seemed like 140 00:08:08,120 --> 00:08:11,400 Speaker 4: they were focused on economic populism that you know. And 141 00:08:11,440 --> 00:08:15,040 Speaker 4: then as it changed, it began to change with AOC, 142 00:08:15,320 --> 00:08:19,400 Speaker 4: it began to change with Rashida Talib and Ayana Presley 143 00:08:19,440 --> 00:08:21,960 Speaker 4: and Ilhan Omar and all of these. 144 00:08:22,320 --> 00:08:24,120 Speaker 5: It was all this these other. 145 00:08:24,040 --> 00:08:26,960 Speaker 4: Issues that they started bringing into it, like defund the 146 00:08:26,960 --> 00:08:32,640 Speaker 4: police and abolishing ice and all of this, you know, 147 00:08:32,760 --> 00:08:37,720 Speaker 4: the treans ideology, and especially for me, it was the 148 00:08:37,840 --> 00:08:40,280 Speaker 4: it was the race politics to be honest with you, 149 00:08:40,640 --> 00:08:43,280 Speaker 4: because you know, I grew up in a working class family. 150 00:08:43,520 --> 00:08:46,120 Speaker 4: I like Linden trailer parks, you know, growing up as 151 00:08:46,120 --> 00:08:49,480 Speaker 4: a kid, and I my mom and grandma still really 152 00:08:49,520 --> 00:08:53,000 Speaker 4: really struggle. And I would be in these zoom meetings. 153 00:08:52,559 --> 00:08:56,800 Speaker 6: Where I was expected to espouse my privilege to people 154 00:08:56,960 --> 00:09:00,439 Speaker 6: and say that I was privileged just because of one 155 00:09:00,679 --> 00:09:02,680 Speaker 6: aspect of me, which is my skin color. 156 00:09:03,200 --> 00:09:06,240 Speaker 4: And it just felt so wrong, and then it just 157 00:09:06,320 --> 00:09:07,600 Speaker 4: kept getting worse and worse. 158 00:09:08,200 --> 00:09:12,160 Speaker 2: I'm reading a Wall Street Journal review of your book, 159 00:09:12,160 --> 00:09:15,240 Speaker 2: and it says this gentleman says. The value in miss 160 00:09:15,320 --> 00:09:18,840 Speaker 2: Barker's memoir other than the laughs, lies in the its 161 00:09:18,880 --> 00:09:22,360 Speaker 2: depiction of her party's biggest and least acknowledged problem. It's 162 00:09:22,520 --> 00:09:26,880 Speaker 2: guilt ridden donors and the web of cash flush activist groups, 163 00:09:26,920 --> 00:09:31,280 Speaker 2: anti capitalist nonprofits, and issue oriented super packs they sustain. 164 00:09:31,760 --> 00:09:36,560 Speaker 2: Her book abounds with busybody advocacy, book groups, donor advisory networks, 165 00:09:36,559 --> 00:09:41,360 Speaker 2: and consultancies run by know nothing twenty somethings. The donor 166 00:09:41,520 --> 00:09:45,400 Speaker 2: aspect of the left wing apparatus is very fascinating to me. 167 00:09:45,520 --> 00:09:47,280 Speaker 2: But you know, I did bring up the race issue. 168 00:09:47,320 --> 00:09:48,560 Speaker 2: So take this wherever you want to go. 169 00:09:48,960 --> 00:09:52,120 Speaker 4: Well, actually they're completely tied in together. So you know, 170 00:09:52,200 --> 00:09:56,160 Speaker 4: starting well, there were glimpses of this before twenty twenty, 171 00:09:56,160 --> 00:09:59,200 Speaker 4: but especially after twenty twenty, I would say that the 172 00:09:59,240 --> 00:10:03,120 Speaker 4: donor class, in conjunction with the consultant class and the 173 00:10:03,160 --> 00:10:07,920 Speaker 4: Democratic Party completely changed the leadership class of the Democratic 174 00:10:07,920 --> 00:10:18,240 Speaker 4: Party by absolutely demanding full submission to these racial politics ideologies. 175 00:10:18,280 --> 00:10:21,559 Speaker 4: And what I mean by that is I actually heard 176 00:10:21,640 --> 00:10:24,679 Speaker 4: and this is not something that was ever publicly announced, right, 177 00:10:24,720 --> 00:10:27,160 Speaker 4: so the general public doesn't even know about this. But 178 00:10:27,280 --> 00:10:33,000 Speaker 4: like George Soros's organization, for instance, they put out a 179 00:10:33,040 --> 00:10:37,880 Speaker 4: pledge to only fund organizations in the Democratic Party that 180 00:10:37,920 --> 00:10:41,760 Speaker 4: were led by people of color for five years, which 181 00:10:41,800 --> 00:10:46,120 Speaker 4: is I mean, I saw personally people that were turned 182 00:10:46,120 --> 00:10:50,800 Speaker 4: down for jobs because you know, the organization realized they 183 00:10:50,800 --> 00:10:55,040 Speaker 4: needed to have like the right identity leading their organization 184 00:10:56,480 --> 00:11:00,960 Speaker 4: or they could be denied funding. And it just it 185 00:11:01,040 --> 00:11:03,560 Speaker 4: had a real systemic effect. 186 00:11:03,760 --> 00:11:03,960 Speaker 7: You know. 187 00:11:04,080 --> 00:11:08,640 Speaker 4: I myself, I you know, was pressured at times. You know, 188 00:11:08,640 --> 00:11:11,520 Speaker 4: there's a lot of social and peer pressure to not 189 00:11:11,760 --> 00:11:15,520 Speaker 4: hire white men especially. I feel very bad about this, 190 00:11:15,679 --> 00:11:18,640 Speaker 4: but you know, I had this book is called Confessions 191 00:11:18,640 --> 00:11:21,000 Speaker 4: of a Democratic Operative so I have to confess my 192 00:11:21,040 --> 00:11:24,160 Speaker 4: own sense too, right. I you know, I was in 193 00:11:24,200 --> 00:11:27,400 Speaker 4: positions of hiring, and when I would get resumes, the 194 00:11:27,600 --> 00:11:30,840 Speaker 4: very first thing I did is google their names on 195 00:11:30,880 --> 00:11:33,360 Speaker 4: the Internet to see what their race was, to see 196 00:11:33,360 --> 00:11:35,240 Speaker 4: if they were a man, and if they were I 197 00:11:35,320 --> 00:11:39,960 Speaker 4: didn't set up interviews with them. And this happened all 198 00:11:40,000 --> 00:11:43,760 Speaker 4: throughout the Democratic Party. There was a systemic push in 199 00:11:43,800 --> 00:11:47,960 Speaker 4: the party to discriminate against white people, and it was 200 00:11:48,120 --> 00:11:51,120 Speaker 4: it came down on high, from the very highest levels 201 00:11:51,120 --> 00:11:51,640 Speaker 4: of the party. 202 00:11:52,320 --> 00:11:57,680 Speaker 2: That is not only racist, it's it's it's just so bad. 203 00:11:57,720 --> 00:12:00,839 Speaker 2: I mean, you haven't it so bad? So I can 204 00:12:00,880 --> 00:12:03,960 Speaker 2: imagine you wrestling with this because on the one hand, 205 00:12:04,000 --> 00:12:07,080 Speaker 2: you're like, I like that I could get healthcare because 206 00:12:07,120 --> 00:12:10,120 Speaker 2: of what Obama did, which I can acknowledge. In your 207 00:12:10,120 --> 00:12:14,480 Speaker 2: personal position, you could appreciate that, and yet it comes 208 00:12:14,480 --> 00:12:17,920 Speaker 2: with all this other stuff. There's another story from your book. 209 00:12:18,280 --> 00:12:21,160 Speaker 2: There was one of the donors had a voicemail message 210 00:12:21,640 --> 00:12:24,240 Speaker 2: and it announces, if you are not a woman of color, 211 00:12:24,400 --> 00:12:27,360 Speaker 2: please do not bother leaving a voicemail. I won't donate 212 00:12:27,400 --> 00:12:30,600 Speaker 2: to you. Still, another an heiress to an oil fortune, 213 00:12:30,760 --> 00:12:34,160 Speaker 2: lavishes money on left wing groups. Miss Barker recently surmises 214 00:12:34,320 --> 00:12:37,800 Speaker 2: quote to try and right her family's wrongs. The way 215 00:12:37,880 --> 00:12:40,560 Speaker 2: you paint is it, it's just so systemic and so 216 00:12:40,720 --> 00:12:44,040 Speaker 2: unspoken that you don't even need a written rule somewhere 217 00:12:44,120 --> 00:12:48,319 Speaker 2: or policy somewhere. It was just the culture and continues 218 00:12:48,360 --> 00:12:51,720 Speaker 2: to be the culture of the left. You said that 219 00:12:51,760 --> 00:12:55,480 Speaker 2: the Democrats learned the wrong lesson from Obama and they 220 00:12:55,559 --> 00:13:00,680 Speaker 2: completely turned instead of to uniting race. You know, I 221 00:13:00,679 --> 00:13:03,800 Speaker 2: guess color blindness is Obamaca can put it. They turned 222 00:13:03,840 --> 00:13:07,440 Speaker 2: to identity politics, and that has been their undoing. 223 00:13:07,840 --> 00:13:08,040 Speaker 8: Yeah. 224 00:13:08,080 --> 00:13:13,920 Speaker 4: They believed that they could recreate his coalition by going 225 00:13:13,960 --> 00:13:19,080 Speaker 4: towards a demographics as destiny idea. And so to me, 226 00:13:19,320 --> 00:13:22,160 Speaker 4: what that always meant is that they no longer felt 227 00:13:22,240 --> 00:13:25,080 Speaker 4: like they needed to win back the white working class 228 00:13:25,080 --> 00:13:27,520 Speaker 4: people like my family in the middle of the country. 229 00:13:27,840 --> 00:13:30,679 Speaker 4: And honestly, they didn't want to win those people back either, 230 00:13:31,280 --> 00:13:35,520 Speaker 4: because they thought that they could just continue winning by 231 00:13:35,600 --> 00:13:38,320 Speaker 4: appealing to young people and people of color. 232 00:13:39,000 --> 00:13:40,120 Speaker 5: Well, you know, as we. 233 00:13:40,040 --> 00:13:42,800 Speaker 4: Saw in the twenty twenty four election, a lot of 234 00:13:42,880 --> 00:13:45,280 Speaker 4: young people ended up voting for Donald Trump, and so 235 00:13:45,360 --> 00:13:47,959 Speaker 4: did a lot of people of color because The reality 236 00:13:48,080 --> 00:13:52,680 Speaker 4: is is that the white working class and working class 237 00:13:52,679 --> 00:13:55,960 Speaker 4: people of other races actually share a lot of the 238 00:13:56,040 --> 00:14:00,480 Speaker 4: same values, and for some reason, the Democrat haads don't 239 00:14:00,559 --> 00:14:02,600 Speaker 4: understand this. It's part of the reason they have this 240 00:14:02,679 --> 00:14:04,640 Speaker 4: obsession with flipping. 241 00:14:04,280 --> 00:14:06,360 Speaker 5: Texas, even though they're not going to flip Texas. 242 00:14:06,880 --> 00:14:09,680 Speaker 4: They think Texas is more valuable in working towards than 243 00:14:09,720 --> 00:14:12,160 Speaker 4: a place like where I come from, in Missouri, where 244 00:14:12,480 --> 00:14:15,920 Speaker 4: more recently they elected a Democratic statewide than in Texas. 245 00:14:16,280 --> 00:14:18,320 Speaker 4: And it's because they know that they would need to 246 00:14:18,440 --> 00:14:22,560 Speaker 4: moderate in order to win Missouri, and they refuse to 247 00:14:22,640 --> 00:14:22,960 Speaker 4: do that. 248 00:14:23,160 --> 00:14:28,320 Speaker 5: They won't do it. This is all incredible. I'm just 249 00:14:28,440 --> 00:14:29,600 Speaker 5: I'm looking through the book here. 250 00:14:30,360 --> 00:14:34,680 Speaker 3: I like one of your Canada you were speaking with 251 00:14:35,200 --> 00:14:37,960 Speaker 3: and then she was keeping in touch with you afterwards, 252 00:14:38,280 --> 00:14:40,080 Speaker 3: and she wanted to talk to me about her dating 253 00:14:40,120 --> 00:14:42,000 Speaker 3: life and have me set her up on dates. 254 00:14:42,200 --> 00:14:44,320 Speaker 5: But she refused to date white men. 255 00:14:44,800 --> 00:14:48,400 Speaker 3: She said she was physically repulsed by them. 256 00:14:50,200 --> 00:14:53,200 Speaker 4: And if you keep reading it, she ends up going 257 00:14:53,240 --> 00:14:59,960 Speaker 4: on a hyahuasca journey. Ah. And the whole point is 258 00:15:00,200 --> 00:15:04,160 Speaker 4: to I guess rid herself of the demons from her 259 00:15:04,200 --> 00:15:08,600 Speaker 4: white ancestry because she's mixed race, so it was it 260 00:15:08,840 --> 00:15:10,720 Speaker 4: was almost like a racial exorcism. 261 00:15:11,080 --> 00:15:14,920 Speaker 2: It's so racist. It's so racist, and the projection from 262 00:15:15,200 --> 00:15:17,320 Speaker 2: the left is that we're all a bunch of racists. 263 00:15:17,320 --> 00:15:21,480 Speaker 2: You saw that Jasmine Crockett quote from just this week 264 00:15:21,560 --> 00:15:25,840 Speaker 2: with the Smithsonian hearing talking about this was a white 265 00:15:25,840 --> 00:15:30,040 Speaker 2: pride rally at the Congress. Evan Barker, thank you so much. 266 00:15:30,080 --> 00:15:32,040 Speaker 2: I want to have you on again soon to keep 267 00:15:32,080 --> 00:15:34,240 Speaker 2: talking about this. We're gonna, I mean, I think it's 268 00:15:34,240 --> 00:15:37,960 Speaker 2: a really important story that you're telling and nothing left. 269 00:15:38,000 --> 00:15:41,240 Speaker 2: Confessions of a left Wing Operative by Evan Barker, Thank 270 00:15:41,280 --> 00:15:42,360 Speaker 2: you so much for joining. 271 00:15:42,760 --> 00:15:43,320 Speaker 4: Thanks Andre. 272 00:15:43,600 --> 00:15:52,840 Speaker 2: Back with Michael Wattley. I want to talk to you 273 00:15:53,040 --> 00:15:57,360 Speaker 2: about an issue so many Americans face, and that's health insurance. 274 00:15:57,480 --> 00:16:01,680 Speaker 2: There's an organization I really really appreciate called Christian Healthcare 275 00:16:01,720 --> 00:16:06,280 Speaker 2: Ministries CHM is a faith based alternative to health insurance. 276 00:16:06,800 --> 00:16:09,120 Speaker 2: And this is real stuff. Folks like you've got to 277 00:16:09,200 --> 00:16:12,480 Speaker 2: listen in with CHM. You're not paying into a company's 278 00:16:12,520 --> 00:16:16,520 Speaker 2: profit margin. You're investing in a community with less overhead 279 00:16:16,560 --> 00:16:19,760 Speaker 2: than the competition. You get reliable support through the giving 280 00:16:19,840 --> 00:16:23,160 Speaker 2: and prayer of fellow members. Members contribute every month to 281 00:16:23,160 --> 00:16:26,240 Speaker 2: help pay for each other's medical bills, allowing believers to 282 00:16:26,320 --> 00:16:29,320 Speaker 2: afford the care they need because they're not insurance. You 283 00:16:29,400 --> 00:16:33,400 Speaker 2: get access to your preferred doctor or hospital without network restrictions. 284 00:16:33,440 --> 00:16:36,000 Speaker 2: You heard that right. If you want to see massive 285 00:16:36,040 --> 00:16:39,760 Speaker 2: savings in your healthcare budget, CHM has four low cost 286 00:16:39,800 --> 00:16:42,200 Speaker 2: programs for every stage of life, starting at just one 287 00:16:42,280 --> 00:16:45,240 Speaker 2: hundred and fifteen dollars a month plus. You can enroll 288 00:16:45,400 --> 00:16:48,680 Speaker 2: or switch your program at any time. See why so 289 00:16:48,800 --> 00:16:51,840 Speaker 2: many believers are taking a leap of faith. Start today 290 00:16:51,840 --> 00:16:55,920 Speaker 2: by visiting chministries dot org slash Charlie and use promo 291 00:16:55,960 --> 00:16:59,400 Speaker 2: code Charlie for a fifty percent credit towards your first month. 292 00:16:59,440 --> 00:17:03,240 Speaker 2: That's c Hministries dot org. Slash Charlie and use promo 293 00:17:03,280 --> 00:17:04,920 Speaker 2: code Charlie. 294 00:17:06,880 --> 00:17:09,800 Speaker 9: People being arrested twenty times, thirty times, forty times, fifty 295 00:17:09,840 --> 00:17:13,400 Speaker 9: times or more being put right back on the streets. 296 00:17:13,960 --> 00:17:18,480 Speaker 9: He's appointed magistrates and judges who man that revolving door 297 00:17:19,160 --> 00:17:24,560 Speaker 9: and keep it rolling. And of course he released forty 298 00:17:24,760 --> 00:17:32,920 Speaker 9: two one hundred criminals forty two hundred criminals because he 299 00:17:32,920 --> 00:17:35,000 Speaker 9: didn't want him to get COVID. 300 00:17:34,720 --> 00:17:38,120 Speaker 2: When they were imprisoned now joining us is Michael Wattley, 301 00:17:38,200 --> 00:17:41,600 Speaker 2: former chair of the RNC and now he is the 302 00:17:42,440 --> 00:17:45,560 Speaker 2: Republican candidate for US Senate from the great state of 303 00:17:45,560 --> 00:17:48,159 Speaker 2: North Carolina. Welcome to the show, sir. Good to have you, 304 00:17:49,080 --> 00:17:50,040 Speaker 2: Great to be on with you. 305 00:17:50,080 --> 00:17:52,000 Speaker 9: It's great to be back on the Charlie Kirk Show. 306 00:17:52,960 --> 00:17:55,880 Speaker 2: Yes, sir, absolutely, it's great to have you. You are running 307 00:17:55,960 --> 00:17:59,639 Speaker 2: a very very important race as we look towards the 308 00:17:59,720 --> 00:18:02,400 Speaker 2: mid and how the shape of the Senate is going 309 00:18:02,440 --> 00:18:05,720 Speaker 2: to take form, and we want to make sure that 310 00:18:05,760 --> 00:18:07,919 Speaker 2: we're getting the word out. And I think you have 311 00:18:08,119 --> 00:18:12,359 Speaker 2: hit the nail on the head with this messaging on crime, 312 00:18:12,480 --> 00:18:15,639 Speaker 2: especially in North Carolina. It is so critically important that 313 00:18:15,640 --> 00:18:18,280 Speaker 2: we're locking criminals up that are violent, that are going 314 00:18:18,359 --> 00:18:21,720 Speaker 2: to hurt innocent Americans in North Carolina because it's become 315 00:18:21,800 --> 00:18:24,520 Speaker 2: ground zero for some of the most radical left wing 316 00:18:24,760 --> 00:18:29,240 Speaker 2: policies you can imagine, especially on the crime front. Tell 317 00:18:29,320 --> 00:18:32,040 Speaker 2: us about this speech you gave. I thought it was brilliant. 318 00:18:32,440 --> 00:18:36,760 Speaker 2: What do North Carolinians need to know about mister Cooper, 319 00:18:36,840 --> 00:18:37,840 Speaker 2: who you're running against. 320 00:18:38,240 --> 00:18:40,080 Speaker 9: I'm glad you asked. You know, when you think about 321 00:18:40,080 --> 00:18:43,280 Speaker 9: every election is important, right and it's a differentiation that 322 00:18:43,320 --> 00:18:45,680 Speaker 9: you have to make in these elections to be able 323 00:18:45,720 --> 00:18:48,360 Speaker 9: to have a conversation with the voters. I'm fighting every 324 00:18:48,440 --> 00:18:51,160 Speaker 9: day for every family. I'm fighting for our kids, I'm 325 00:18:51,160 --> 00:18:54,600 Speaker 9: fighting for our future. I'm fighting for a strong America. 326 00:18:54,760 --> 00:18:57,440 Speaker 9: Roy Cooper, on the other hand, he's fighting for criminals. 327 00:18:57,440 --> 00:19:00,400 Speaker 9: He's fighting for illegal aliens. He's fighting for men who 328 00:19:00,440 --> 00:19:02,520 Speaker 9: want to play in girls' sports and go in women's 329 00:19:02,560 --> 00:19:05,040 Speaker 9: locker rooms. And this is what he's been fighting for 330 00:19:05,119 --> 00:19:09,399 Speaker 9: his entire career. And when we start that conversation talking 331 00:19:09,440 --> 00:19:12,360 Speaker 9: about the criminals, and you think about Roy Cooper, who 332 00:19:12,400 --> 00:19:15,680 Speaker 9: was the worst governor in the history of North Carolina, 333 00:19:15,720 --> 00:19:18,480 Speaker 9: which is a pretty low bar, but he is the 334 00:19:18,520 --> 00:19:20,720 Speaker 9: worst governor that we have ever seen, the most pro 335 00:19:20,800 --> 00:19:24,359 Speaker 9: criminal governor that we've ever had in North Carolina. And 336 00:19:24,440 --> 00:19:26,840 Speaker 9: this is a guy who back in twenty twenty, when 337 00:19:26,920 --> 00:19:30,639 Speaker 9: BLM and Antifa were out there burning down our cities, 338 00:19:30,680 --> 00:19:33,320 Speaker 9: did he call in the National Guard to put down 339 00:19:33,359 --> 00:19:35,800 Speaker 9: those rights. No, he took off this COVID mask, he 340 00:19:35,920 --> 00:19:38,359 Speaker 9: raised his fist, and he went out and he marched 341 00:19:38,359 --> 00:19:39,880 Speaker 9: with him. You know, this is a guy who set 342 00:19:39,960 --> 00:19:42,199 Speaker 9: up a revolving door to put criminals back on the 343 00:19:42,200 --> 00:19:45,720 Speaker 9: streets again twenty times, thirty times, forty times, fifty times 344 00:19:45,800 --> 00:19:48,760 Speaker 9: or more. As soon as the paperwork was done, they're 345 00:19:48,800 --> 00:19:51,840 Speaker 9: back on the streets, usually before the police officers are 346 00:19:51,880 --> 00:19:54,320 Speaker 9: even back on the streets. And of course, he released 347 00:19:54,359 --> 00:20:00,440 Speaker 9: forty two hundred criminals, forty two hundred hardened criminals that 348 00:20:00,480 --> 00:20:03,600 Speaker 9: were released out of North Carolina's prisons because he didn't 349 00:20:03,640 --> 00:20:06,480 Speaker 9: want them to get COVID. And we're talking about the 350 00:20:06,520 --> 00:20:11,040 Speaker 9: worst of the worst, pedophiles, rapists, murderers that he put 351 00:20:11,080 --> 00:20:14,359 Speaker 9: on the streets. Seven hundred of them had committed felony, assault, 352 00:20:14,480 --> 00:20:19,040 Speaker 9: aggravated assault, sexual assault, assault with a deadly weapon, rape. 353 00:20:19,240 --> 00:20:21,920 Speaker 9: You know, fifty one of them had committed had been 354 00:20:21,960 --> 00:20:25,000 Speaker 9: serving life sinces. Eighty of them had committed murder. That 355 00:20:25,119 --> 00:20:27,360 Speaker 9: Cooper put back on the streets. And as soon as 356 00:20:27,400 --> 00:20:30,480 Speaker 9: he put him there, what do you think happened? They 357 00:20:30,520 --> 00:20:32,920 Speaker 9: went right back to a life of crime. They went 358 00:20:33,040 --> 00:20:35,879 Speaker 9: right back to their ways. And twenty two hundred of 359 00:20:35,920 --> 00:20:38,840 Speaker 9: them have been re arrested since he put him back 360 00:20:38,880 --> 00:20:42,320 Speaker 9: on the streets. We've seen hundreds of them have committed 361 00:20:42,440 --> 00:20:46,240 Speaker 9: violent felonies. And it's really sad to say ninety nine 362 00:20:46,280 --> 00:20:50,320 Speaker 9: of them have committed sexual crimes, so we're talking about rape, 363 00:20:50,320 --> 00:20:54,440 Speaker 9: we're talking about sexual assault, we're talking about child pornography charges. 364 00:20:54,560 --> 00:20:57,680 Speaker 9: Ninety nine of the worst and twenty five who've gone 365 00:20:57,680 --> 00:21:01,200 Speaker 9: on to commit murder since Cooper let him out there. 366 00:21:01,200 --> 00:21:04,159 Speaker 9: Probably the most famous one on that list is a 367 00:21:04,160 --> 00:21:07,919 Speaker 9: guy named de Carlos Brown Junior, who got rearrested and 368 00:21:07,960 --> 00:21:10,320 Speaker 9: re released thirteen more times before he got on a 369 00:21:10,359 --> 00:21:13,879 Speaker 9: light rail car in Charlotte, North Carolina, last summer and 370 00:21:13,960 --> 00:21:19,600 Speaker 9: brutally murdered Arena Zerotska, a beautiful Ukrainian refugee who had 371 00:21:19,640 --> 00:21:22,080 Speaker 9: her whole life ahead of her, and Roy Cooper's got 372 00:21:22,119 --> 00:21:24,920 Speaker 9: blood on his hands. I wish that that story was 373 00:21:24,960 --> 00:21:26,880 Speaker 9: the end of it. But there are twenty four other 374 00:21:26,960 --> 00:21:30,080 Speaker 9: families who are going to have an open seat at 375 00:21:30,080 --> 00:21:34,639 Speaker 9: the kitchen table every Christmas, every Easter, every Thanksgiving going 376 00:21:34,720 --> 00:21:37,719 Speaker 9: forward because Cooper put those criminals back on the streets. 377 00:21:37,760 --> 00:21:42,240 Speaker 9: It's the most dangerous, reckless, and stupid decision ever made 378 00:21:42,320 --> 00:21:44,159 Speaker 9: by a governor in North Carolina history. 379 00:21:44,480 --> 00:21:47,240 Speaker 2: Yeah, but sure, let's give him more power. Let's just 380 00:21:47,359 --> 00:21:50,119 Speaker 2: keep rewarding failure and give this guy a seat in 381 00:21:50,119 --> 00:21:54,240 Speaker 2: the US Senate. It's obscene to me, but I have to, 382 00:21:54,600 --> 00:21:56,639 Speaker 2: like you know. And by the way, let me just 383 00:21:56,680 --> 00:22:00,359 Speaker 2: say with Arena Zerotska, this was just before Charlie was killed, 384 00:22:01,080 --> 00:22:05,320 Speaker 2: and he famously said, we have to politicize what happened 385 00:22:05,359 --> 00:22:09,080 Speaker 2: to Rina Zarutzka because it was politics that let her 386 00:22:09,119 --> 00:22:11,600 Speaker 2: get killed in the first place. It was politics that 387 00:22:11,680 --> 00:22:14,840 Speaker 2: led to Carlos Brown Junior out on the street to 388 00:22:14,920 --> 00:22:18,400 Speaker 2: go hurt and kill more Americans and in this case 389 00:22:18,560 --> 00:22:22,800 Speaker 2: Ukrainian refugee who was innocent. And it's infuriating to me, 390 00:22:22,880 --> 00:22:25,600 Speaker 2: and I think infuriating to a lot of Americans that 391 00:22:25,680 --> 00:22:29,240 Speaker 2: this is what Democrats stand for. They don't care about 392 00:22:29,640 --> 00:22:32,760 Speaker 2: law abiding people getting murdered and maimed in the streets 393 00:22:32,920 --> 00:22:36,600 Speaker 2: because they think racism. They cry racism. And in this case, 394 00:22:36,680 --> 00:22:42,560 Speaker 2: Roy Cooper is just a white guilt, weak minded Democrat 395 00:22:42,720 --> 00:22:46,080 Speaker 2: from North Carolina. And I will never understand, mister Wattley, 396 00:22:46,520 --> 00:22:51,440 Speaker 2: why on earth North Carolina will send people or Republicans 397 00:22:51,560 --> 00:22:54,040 Speaker 2: to d C, but they will elect somebody like Roy 398 00:22:54,320 --> 00:22:57,240 Speaker 2: Cooper at the state level. I will never understand what's 399 00:22:57,280 --> 00:22:59,520 Speaker 2: going on with the politics in that state. But we 400 00:22:59,640 --> 00:23:02,280 Speaker 2: got to get you over the finish line, maybe dive 401 00:23:02,320 --> 00:23:04,600 Speaker 2: into that. What you know, we've seen this weird voting 402 00:23:04,640 --> 00:23:08,119 Speaker 2: pattern in North Carolina where it just seems a little 403 00:23:08,200 --> 00:23:10,760 Speaker 2: all over the place. What is behind that exactly? Do 404 00:23:10,800 --> 00:23:11,520 Speaker 2: you have any answer. 405 00:23:11,560 --> 00:23:14,280 Speaker 9: We're a purple state. You know, We're thirty percent Republican, 406 00:23:14,280 --> 00:23:18,160 Speaker 9: We're thirty percent Democrat, We're thirty eight point five percent unaffiliated, 407 00:23:18,200 --> 00:23:20,600 Speaker 9: which is our version of independence, and one point five 408 00:23:20,640 --> 00:23:23,399 Speaker 9: percent other. So every race that we have here is 409 00:23:23,440 --> 00:23:25,919 Speaker 9: going to be really close. And the way that that 410 00:23:26,040 --> 00:23:30,159 Speaker 9: has tended to manifest itself over time is Democrats win governor, 411 00:23:30,160 --> 00:23:34,320 Speaker 9: lieutenant governor, attorney general and Republicans win Congress, Senate, and 412 00:23:34,359 --> 00:23:37,200 Speaker 9: the president. So, you know, we carried the state three 413 00:23:37,240 --> 00:23:39,480 Speaker 9: times for President Trump. I was I was, you know, 414 00:23:39,720 --> 00:23:43,600 Speaker 9: I ran the state forum in twenty sixteen, and I 415 00:23:43,640 --> 00:23:45,639 Speaker 9: was the state party chair in twenty twenty and then 416 00:23:45,680 --> 00:23:48,240 Speaker 9: the RNC chair in twenty twenty four. But in all 417 00:23:48,280 --> 00:23:50,720 Speaker 9: three of those wins, they were very narrow and the 418 00:23:50,800 --> 00:23:53,399 Speaker 9: Democrats took the governorship in all three of them. So 419 00:23:53,480 --> 00:23:56,919 Speaker 9: we we are a purple state, but we you know, 420 00:23:56,960 --> 00:23:59,920 Speaker 9: when you think about who those voters, those swing voters 421 00:24:00,040 --> 00:24:02,080 Speaker 9: in the middle are are going to vote for they 422 00:24:02,440 --> 00:24:06,600 Speaker 9: are generally you know, college educated, they're generally suburban, and 423 00:24:06,640 --> 00:24:10,439 Speaker 9: they hate crazy and so they voted against Kamala Harris 424 00:24:10,480 --> 00:24:12,119 Speaker 9: and I think that that's really important to know. And 425 00:24:12,160 --> 00:24:14,119 Speaker 9: they're going to vote against Roy Cooper because he was 426 00:24:14,160 --> 00:24:16,919 Speaker 9: the worst governor in the history of this state. 427 00:24:17,000 --> 00:24:18,160 Speaker 2: And we can talk. 428 00:24:17,960 --> 00:24:22,280 Speaker 9: About economic issues, we can talk about crime issues, you know, 429 00:24:22,320 --> 00:24:24,440 Speaker 9: we can talk about illegal immigration. You know, this is 430 00:24:24,480 --> 00:24:27,040 Speaker 9: a guy who supported sanctuary cities. This is a guy 431 00:24:27,040 --> 00:24:30,720 Speaker 9: who vetoed legislation multiple times that tell shriffes that they 432 00:24:30,720 --> 00:24:33,840 Speaker 9: have to honor ice detainers and get violent, criminal, illegal 433 00:24:33,880 --> 00:24:36,240 Speaker 9: aliens the hell out of North Carolina. You know. So 434 00:24:36,720 --> 00:24:39,840 Speaker 9: he has a track record that he's done everything he 435 00:24:39,880 --> 00:24:41,040 Speaker 9: can to run away from. 436 00:24:41,280 --> 00:24:41,439 Speaker 8: You know. 437 00:24:41,480 --> 00:24:44,359 Speaker 9: I always like to point out that candidate Cooper really 438 00:24:44,359 --> 00:24:46,800 Speaker 9: doesn't like Governor Cooper and all the things that he did. 439 00:24:47,040 --> 00:24:49,720 Speaker 9: When he's trying to talk about being a moderate right now, 440 00:24:49,960 --> 00:24:53,800 Speaker 9: you know, he's just an absolute wrong fit for people 441 00:24:53,800 --> 00:24:56,600 Speaker 9: in North Carolina. He'd be better off running in California, 442 00:24:56,680 --> 00:24:57,720 Speaker 9: New York, or Illinois. 443 00:24:57,960 --> 00:25:00,520 Speaker 2: Yeah. Well, that's what's interesting about North Carolin because you 444 00:25:00,560 --> 00:25:02,520 Speaker 2: do you I think you're right. I think the vast 445 00:25:02,520 --> 00:25:05,320 Speaker 2: majority of North Carolinians hate crazy. But then you have 446 00:25:05,359 --> 00:25:08,760 Speaker 2: these pockets, these blue pockets around all those universities where 447 00:25:08,800 --> 00:25:12,879 Speaker 2: the most radical ideas are festering, are taking root, and 448 00:25:12,920 --> 00:25:16,840 Speaker 2: you get these radical activists in your state. That skews 449 00:25:16,840 --> 00:25:20,320 Speaker 2: some of this statewide politics. As you mentioned, the governor 450 00:25:20,880 --> 00:25:26,240 Speaker 2: is supporting California politics in the south, which which should 451 00:25:26,280 --> 00:25:29,800 Speaker 2: have been a non starter when you talk to average 452 00:25:29,840 --> 00:25:33,560 Speaker 2: North Carolinians are what are their concerns? What do they 453 00:25:33,640 --> 00:25:36,080 Speaker 2: want you to focus on? Crime has to be huge, 454 00:25:36,119 --> 00:25:36,760 Speaker 2: but what else? 455 00:25:37,320 --> 00:25:39,960 Speaker 9: Well, there's the economy, you know, And the fact is 456 00:25:40,000 --> 00:25:43,200 Speaker 9: that over his forty year career, you know, career politician 457 00:25:43,280 --> 00:25:47,840 Speaker 9: Roy Cooper, he consistently fought and made things more expensive. 458 00:25:48,200 --> 00:25:51,200 Speaker 9: You know, so housing prices up eighty five percent while 459 00:25:51,240 --> 00:25:54,280 Speaker 9: he was the governor, healthcare cost healthcare premiums up one 460 00:25:54,359 --> 00:25:57,840 Speaker 9: hundred and eighty three percent while he was the governor. Meanwhile, 461 00:25:57,840 --> 00:26:01,240 Speaker 9: he's taking you know, four hundred thousand dollars from healthcare 462 00:26:01,280 --> 00:26:04,600 Speaker 9: companies and executives, you know for his campaign here CosIng 463 00:26:04,680 --> 00:26:06,480 Speaker 9: up and saying he's going to get tough on him. 464 00:26:07,000 --> 00:26:10,399 Speaker 9: You know, rather ridiculous what he's looking at there. But 465 00:26:10,480 --> 00:26:13,640 Speaker 9: the fact is You're right that Charlotte, that Raleigh, that Durham. 466 00:26:13,760 --> 00:26:16,760 Speaker 9: You know, these are deep blue cities where we do 467 00:26:16,880 --> 00:26:21,720 Speaker 9: have a very aggressive, you know, radical Democratic base that 468 00:26:22,080 --> 00:26:25,120 Speaker 9: is pointing it out. But the Democratic Party itself has 469 00:26:25,200 --> 00:26:28,520 Speaker 9: lost over three hundred and fifty thousand registered voters over 470 00:26:28,520 --> 00:26:31,160 Speaker 9: the last ten years because people are walking away from 471 00:26:31,160 --> 00:26:34,520 Speaker 9: that party and the fact is that they know that 472 00:26:34,520 --> 00:26:36,959 Speaker 9: that's not the party that they grew up with and 473 00:26:37,040 --> 00:26:39,160 Speaker 9: that's not a party that they can support any more. 474 00:26:39,320 --> 00:26:42,320 Speaker 9: You think about Roy Cooper vetoing the Parents' Bill of Rights? 475 00:26:42,440 --> 00:26:44,639 Speaker 9: Who vetos the Parents' Bill of Rights? You know, he 476 00:26:44,760 --> 00:26:49,840 Speaker 9: vetoed legislation that would have prevented transgender mutilation surgeries. This 477 00:26:49,920 --> 00:26:52,920 Speaker 9: is a guy who voted, you know, fought for putting 478 00:26:52,960 --> 00:26:55,679 Speaker 9: boys and girls sports and men and women's locker rooms. 479 00:26:55,760 --> 00:26:58,000 Speaker 9: You know, these are radical positions, way out of step 480 00:26:58,040 --> 00:26:59,119 Speaker 9: with North Carolina. 481 00:26:59,240 --> 00:27:03,640 Speaker 2: Well, Michael Wattley, you are running a very strong race, 482 00:27:03,680 --> 00:27:07,280 Speaker 2: and I think you're getting stronger. And it's all about turnout. 483 00:27:07,359 --> 00:27:10,280 Speaker 2: This is gonna be all about turnout. You got to 484 00:27:10,320 --> 00:27:13,280 Speaker 2: get these low propensity voters. You got to harass them, 485 00:27:13,359 --> 00:27:16,080 Speaker 2: call them, get their ballots in the box. If folks, 486 00:27:16,119 --> 00:27:18,960 Speaker 2: if you want to get involved, go to Michael Wattley 487 00:27:19,000 --> 00:27:23,160 Speaker 2: dot com. That's his campaign site pitching some money. This 488 00:27:23,200 --> 00:27:26,200 Speaker 2: is a candidate, Michael Wattley who's thank you for joining us. Sir, 489 00:27:26,320 --> 00:27:29,439 Speaker 2: you are getting stronger and your message is getting like 490 00:27:29,960 --> 00:27:34,000 Speaker 2: more potent. I can see it happening. I think you 491 00:27:34,040 --> 00:27:36,480 Speaker 2: have a great shot here in North Carolina. I think 492 00:27:36,520 --> 00:27:39,640 Speaker 2: that we need to hold Tom tell Us his seat 493 00:27:39,640 --> 00:27:41,520 Speaker 2: and need to get rid of Tom tell Us, Thank goodness, 494 00:27:41,520 --> 00:27:44,960 Speaker 2: he's retiring, and we need to replace that seat with 495 00:27:45,000 --> 00:27:48,960 Speaker 2: a strong conservative, approven conservative that is you, Michael Wattley. 496 00:27:49,000 --> 00:27:52,679 Speaker 2: Thank you for joining the show. And again, please Michael 497 00:27:52,680 --> 00:27:56,480 Speaker 2: Wattley dot com. Support this man, get him to the 498 00:27:56,560 --> 00:28:00,000 Speaker 2: US Senate. We need him to keep the majority. God blessed. 499 00:28:00,000 --> 00:28:01,480 Speaker 2: Thank you, sir, appreciate it. 500 00:28:01,400 --> 00:28:03,720 Speaker 9: Well, Thank you very much. And when we win this race, 501 00:28:03,800 --> 00:28:06,520 Speaker 9: we are going to have a conservative champion and an 502 00:28:06,560 --> 00:28:09,040 Speaker 9: ally for President Trump and the Senate from North Carolina. 503 00:28:09,600 --> 00:28:17,000 Speaker 2: Amen, godspeed, sir. Hi folks, Andrew Colvett here, I'd like 504 00:28:17,040 --> 00:28:19,280 Speaker 2: to tell you about my friends over at why REFI. 505 00:28:19,520 --> 00:28:21,840 Speaker 2: You've probably been hearing me talk about y REFI for 506 00:28:21,880 --> 00:28:25,240 Speaker 2: some time now. We are all in with these guys. 507 00:28:25,280 --> 00:28:27,840 Speaker 2: If you or someone you know is struggling with private 508 00:28:27,840 --> 00:28:30,840 Speaker 2: student loan debt, take my advice and give them a call. 509 00:28:31,320 --> 00:28:34,760 Speaker 2: Maybe you're behind on your payments, maybe you're even in default. 510 00:28:35,240 --> 00:28:37,760 Speaker 2: You don't have to live in this nightmare anymore. Why 511 00:28:37,880 --> 00:28:40,800 Speaker 2: ref I will provide you a custom payment based on 512 00:28:40,840 --> 00:28:44,720 Speaker 2: your ability to pay. They tailor each loan individually. They 513 00:28:44,720 --> 00:28:47,520 Speaker 2: can save you thousands of dollars and you can get 514 00:28:47,520 --> 00:28:50,640 Speaker 2: your life back. We go to campuses all over America 515 00:28:50,640 --> 00:28:53,680 Speaker 2: and we see student after student who's drowning in private 516 00:28:53,720 --> 00:28:56,080 Speaker 2: student loan debt. Many of them don't even know how 517 00:28:56,160 --> 00:28:58,800 Speaker 2: much they owe. Why ref I can help. Just go 518 00:28:58,840 --> 00:29:02,960 Speaker 2: to y refi dot that's the letter, Why then refi 519 00:29:03,320 --> 00:29:06,400 Speaker 2: dot com. And remember why Refi doesn't care what your 520 00:29:06,400 --> 00:29:08,880 Speaker 2: credit score is. Just go to wyrefi dot com and 521 00:29:09,000 --> 00:29:14,320 Speaker 2: tell them your friend Andrews sent you. Blake, I want 522 00:29:14,320 --> 00:29:17,120 Speaker 2: to talk about Shiloh and if you don't know the 523 00:29:17,240 --> 00:29:19,760 Speaker 2: name Shiloh and why it's in the news, Blake is 524 00:29:19,800 --> 00:29:21,360 Speaker 2: about to explain it to you. 525 00:29:21,440 --> 00:29:24,840 Speaker 3: Alrighty, well, this is you might It might stir something 526 00:29:25,160 --> 00:29:29,600 Speaker 3: in your like the deep recesses of your brain as 527 00:29:29,640 --> 00:29:30,640 Speaker 3: I described. 528 00:29:30,280 --> 00:29:32,320 Speaker 5: This to you. So this is this is a story. 529 00:29:32,360 --> 00:29:34,720 Speaker 3: We used to see a ton of first Trump year, 530 00:29:34,800 --> 00:29:36,680 Speaker 3: the first peak woke era, and this is one of. 531 00:29:37,800 --> 00:29:40,320 Speaker 5: It shows how things have changed. So Shiloh Hendrix is 532 00:29:40,520 --> 00:29:41,080 Speaker 5: a woman. 533 00:29:41,160 --> 00:29:45,120 Speaker 3: She's thirty seven in Minnesota and she was the subject 534 00:29:45,160 --> 00:29:48,640 Speaker 3: of a viral video last year where basically she was 535 00:29:49,600 --> 00:29:51,600 Speaker 3: I believe, at a playground kind of in a public 536 00:29:51,640 --> 00:29:55,840 Speaker 3: spot and this Somali child a about nine years old 537 00:29:55,840 --> 00:29:57,840 Speaker 3: who had an ankle monitor because they had a habit 538 00:29:57,920 --> 00:30:01,320 Speaker 3: of wandering away. I guess they're pair. Parents couldn't take 539 00:30:01,360 --> 00:30:05,720 Speaker 3: great care of them, and this child was like bothering 540 00:30:05,720 --> 00:30:06,840 Speaker 3: her bothering. 541 00:30:06,400 --> 00:30:10,600 Speaker 5: Her kid, and let's be frank, it was not her 542 00:30:10,600 --> 00:30:11,120 Speaker 5: best moment. 543 00:30:11,160 --> 00:30:13,240 Speaker 3: She got angry at the kids, she said something nasty 544 00:30:13,240 --> 00:30:16,120 Speaker 3: to them, and then the parent of this child starts 545 00:30:16,200 --> 00:30:18,400 Speaker 3: just taping her tapes or gets a camera in her 546 00:30:18,440 --> 00:30:21,280 Speaker 3: face and is like, you said a slur, Say it again, 547 00:30:21,360 --> 00:30:23,600 Speaker 3: Say it again, say it again, and she basically gets 548 00:30:23,600 --> 00:30:26,080 Speaker 3: exasperated and she says a slur on the video. 549 00:30:26,400 --> 00:30:30,720 Speaker 5: That's not good. Shouldn't do that. But what is egregious is. 550 00:30:30,720 --> 00:30:33,760 Speaker 3: She then got charged with disorderly conduct and they have 551 00:30:33,800 --> 00:30:37,960 Speaker 3: spent the past year in Minnesota prosecuting this woman, and 552 00:30:38,080 --> 00:30:41,160 Speaker 3: yesterday she was convicted of this. She was convicted because 553 00:30:41,600 --> 00:30:44,120 Speaker 3: she said a bad word on a video to someone 554 00:30:44,160 --> 00:30:47,280 Speaker 3: who was in her face demanding that she say something bad. 555 00:30:47,640 --> 00:30:50,400 Speaker 3: And she was just fined one thousand dollars. She was 556 00:30:50,400 --> 00:30:53,120 Speaker 3: given a staid ninety day jail sentence, and she has 557 00:30:53,160 --> 00:30:56,280 Speaker 3: to do two hundred hours of community service. So not 558 00:30:56,920 --> 00:31:00,840 Speaker 3: the worst miscarriage of justice ever. But are reacting to this, 559 00:31:00,920 --> 00:31:06,560 Speaker 3: and we should react to it because, uh, let's be real, 560 00:31:06,800 --> 00:31:12,160 Speaker 3: this is Minnesota, so we already they have infinite Somali fraud. 561 00:31:12,160 --> 00:31:14,160 Speaker 3: There's a lot of crimes that go down in Minnesota 562 00:31:14,280 --> 00:31:15,520 Speaker 3: that they're basically ignoring. 563 00:31:16,360 --> 00:31:18,680 Speaker 5: And on top of that, no one would ever. 564 00:31:18,520 --> 00:31:21,560 Speaker 3: Be prosecuted for, let's be frank, calling a white person 565 00:31:21,600 --> 00:31:24,040 Speaker 3: a racial slur on a camera. That's called riding on 566 00:31:24,080 --> 00:31:26,320 Speaker 3: a subway. A lot you're going to encounter that. This 567 00:31:26,400 --> 00:31:28,960 Speaker 3: is a woman who was singled out and targeted because 568 00:31:29,520 --> 00:31:32,600 Speaker 3: she was a white woman who had an unflattering image 569 00:31:32,600 --> 00:31:33,000 Speaker 3: on camera. 570 00:31:33,000 --> 00:31:35,760 Speaker 5: I think you'd agree, Andrew, and it doesn't like. 571 00:31:35,920 --> 00:31:36,640 Speaker 2: I totally agree. 572 00:31:36,640 --> 00:31:40,000 Speaker 3: You don't get criminally prosecuted, you don't have your First 573 00:31:40,000 --> 00:31:42,760 Speaker 3: Amendment rights taken away. You're allowed to say mean things 574 00:31:42,800 --> 00:31:44,720 Speaker 3: to people if they're in your face, if you don't 575 00:31:44,880 --> 00:31:47,480 Speaker 3: attack them, if you don't like physically, if you don't 576 00:31:47,480 --> 00:31:50,600 Speaker 3: physically assault them. People argue with each other in public, 577 00:31:50,680 --> 00:31:51,400 Speaker 3: that's not a crime. 578 00:31:51,760 --> 00:31:55,280 Speaker 2: So I mean, I totally agree on principle. Listen, she 579 00:31:55,400 --> 00:31:58,440 Speaker 2: ends up raising I think, on a GoFundMe something like 580 00:31:59,160 --> 00:32:02,520 Speaker 2: nine hundred thousand. Okay, Now she's gonna get two hundred 581 00:32:02,600 --> 00:32:05,920 Speaker 2: hours of community service and a small fine. I don't care. 582 00:32:06,360 --> 00:32:09,400 Speaker 2: She probably is going to make out in the positive 583 00:32:09,400 --> 00:32:12,240 Speaker 2: on this, okay, but I don't care. To Blake's point, 584 00:32:12,320 --> 00:32:15,120 Speaker 2: it's the principle of the thing. This was not her 585 00:32:15,160 --> 00:32:18,440 Speaker 2: best moment. We get it. We're not endorsing what she did, 586 00:32:18,560 --> 00:32:21,800 Speaker 2: but we also can understand it. This nine year old 587 00:32:21,840 --> 00:32:25,120 Speaker 2: apparently was wearing an ankle monitor. I haven't fact checked this, 588 00:32:25,200 --> 00:32:26,760 Speaker 2: but I've seen this in a number of the social 589 00:32:26,760 --> 00:32:30,200 Speaker 2: media posts. This kid, either way, was on the loose, 590 00:32:30,520 --> 00:32:35,480 Speaker 2: being an absolute I would say, menace to society in 591 00:32:35,520 --> 00:32:37,920 Speaker 2: this public place, this space, by the way, which is 592 00:32:37,960 --> 00:32:40,040 Speaker 2: a larger theme that we need to talk about, and 593 00:32:40,080 --> 00:32:43,640 Speaker 2: we will talk about more, how America's public spaces which 594 00:32:43,640 --> 00:32:48,840 Speaker 2: are free have been overrun by migrants, by criminals, by 595 00:32:49,080 --> 00:32:53,400 Speaker 2: people that are transgressive and antisocial. They are no longer safe. 596 00:32:53,680 --> 00:32:55,560 Speaker 2: So if you think about the latchkey kids, the free 597 00:32:55,640 --> 00:32:58,520 Speaker 2: range kids of the seventies and eighties and nineties, that 598 00:32:59,040 --> 00:33:04,880 Speaker 2: world has been evaporated because of little Somali kids like this, 599 00:33:04,920 --> 00:33:07,280 Speaker 2: who's harassing this woman while she's trying to hang out 600 00:33:07,320 --> 00:33:09,600 Speaker 2: with her kid at the park, And so the American 601 00:33:09,680 --> 00:33:12,520 Speaker 2: dream becomes a luxury shot. People like Shiloh can't go 602 00:33:12,520 --> 00:33:15,080 Speaker 2: to the park anymore because they get harassed by little 603 00:33:15,120 --> 00:33:18,320 Speaker 2: miscreants like this, this uh, this Somali kid. And then 604 00:33:18,560 --> 00:33:21,080 Speaker 2: this other guy comes. I guess he's a brown guy. 605 00:33:21,120 --> 00:33:22,160 Speaker 2: I don't think it was his parent. 606 00:33:23,560 --> 00:33:26,800 Speaker 3: I made that mistake, was not the dad was testifying 607 00:33:26,800 --> 00:33:27,760 Speaker 3: at the trial. I mixed that up. 608 00:33:27,800 --> 00:33:31,160 Speaker 2: I apologize exactly. The kid, the guy who was uh 609 00:33:31,720 --> 00:33:36,320 Speaker 2: was taping him, was shar make Omar. Apparently, so take 610 00:33:36,440 --> 00:33:40,080 Speaker 2: take the name as you will. Sharmick Omar starts provoking her. 611 00:33:40,480 --> 00:33:43,680 Speaker 2: She says a bad word. Oh, well, to your point, 612 00:33:44,320 --> 00:33:48,080 Speaker 2: since when do we prosecute, you know, people of color 613 00:33:48,600 --> 00:33:52,800 Speaker 2: calling white people pejoratives and racist racist names? We Oh, yeah, 614 00:33:52,840 --> 00:33:53,800 Speaker 2: that's right, we don't do it. 615 00:33:53,840 --> 00:33:55,160 Speaker 5: I mean it's worse than that. 616 00:33:55,240 --> 00:33:58,800 Speaker 3: If you're I don't buy these jurisdictions, like you'll have 617 00:33:59,040 --> 00:34:03,000 Speaker 3: like anti soul personalities will harass people, get in their face, 618 00:34:03,400 --> 00:34:06,400 Speaker 3: like deliberately trying to provoke them because if they react 619 00:34:06,440 --> 00:34:09,880 Speaker 3: in any way, they'll feel justified in like punching them 620 00:34:09,920 --> 00:34:11,520 Speaker 3: in the face. There was a case I believe this 621 00:34:11,600 --> 00:34:16,960 Speaker 3: was an Oregon where someone like basically got attacked and 622 00:34:16,960 --> 00:34:19,160 Speaker 3: then they testified, well, they called me the N word 623 00:34:19,360 --> 00:34:22,160 Speaker 3: during the attack, and they got acquitted for the assault. 624 00:34:22,600 --> 00:34:26,040 Speaker 3: For that reason, Like, we will not have our diverse, 625 00:34:26,160 --> 00:34:31,320 Speaker 3: multicultural society survive if we have two standards of justice, 626 00:34:31,360 --> 00:34:33,960 Speaker 3: two different expectations. 627 00:34:33,480 --> 00:34:36,360 Speaker 5: For people in this country. Everyone has the First Amendment 628 00:34:36,400 --> 00:34:37,280 Speaker 5: right period. 629 00:34:37,360 --> 00:34:40,680 Speaker 3: You can't make an example out of someone because you're 630 00:34:40,800 --> 00:34:45,080 Speaker 3: desperate to prosecute someone who's a thirty something white woman 631 00:34:45,400 --> 00:34:46,120 Speaker 3: a Karen as. 632 00:34:46,120 --> 00:34:47,320 Speaker 5: They would like to say. 633 00:34:47,239 --> 00:34:51,960 Speaker 2: Yeah, I think this is just a pure, unadulterated example 634 00:34:52,040 --> 00:34:56,399 Speaker 2: of anti white discrimination that has been legalized in our 635 00:34:56,600 --> 00:35:00,760 Speaker 2: judicial system. If this, I think the best point Blake 636 00:35:00,880 --> 00:35:03,719 Speaker 2: that you made, and it's worth repeating, is that when 637 00:35:03,840 --> 00:35:06,560 Speaker 2: we go on the subway, we go on public transportation, 638 00:35:06,760 --> 00:35:09,360 Speaker 2: we go to a park, and we're called a racist slur, 639 00:35:09,440 --> 00:35:11,400 Speaker 2: we're called a cracker or whatever they want to call it. 640 00:35:12,280 --> 00:35:15,560 Speaker 2: That doesn't count for anything in this country, and nor 641 00:35:15,640 --> 00:35:18,400 Speaker 2: should it, by the way, unless it is like an aggression, 642 00:35:18,520 --> 00:35:21,799 Speaker 2: aggression to like, you know, uh, start a fight or 643 00:35:21,800 --> 00:35:23,720 Speaker 2: something like that, maybe then you could make an argument. 644 00:35:24,000 --> 00:35:26,280 Speaker 2: But the point is that's not what she was doing. 645 00:35:26,560 --> 00:35:29,480 Speaker 2: The guy provoked her, she said the word. Okay, she 646 00:35:29,520 --> 00:35:33,440 Speaker 2: shouldn't have said it. That is not grounds for stripping 647 00:35:33,520 --> 00:35:36,120 Speaker 2: this woman of her First Amendment rights and then prosecuting 648 00:35:36,120 --> 00:35:38,600 Speaker 2: and harassing her for a year. This is the land 649 00:35:38,640 --> 00:35:43,480 Speaker 2: of George Floyd right here. This is what's happening to Minneapolis. Nice. No, 650 00:35:43,560 --> 00:35:46,279 Speaker 2: they're getting overrun by foreigners that want to want to 651 00:35:46,320 --> 00:35:50,759 Speaker 2: prosecute Americans for using their God given freedoms. Yeah, maybe 652 00:35:50,760 --> 00:35:51,600 Speaker 2: she shouldn't have done it. 653 00:35:51,640 --> 00:35:52,120 Speaker 5: Oh well. 654 00:35:54,800 --> 00:35:58,680 Speaker 2: For nearly three thousand years, Homer's the Odyssey has shaped 655 00:35:58,760 --> 00:36:02,440 Speaker 2: Western imagination. It tells the story of Odysseus as he 656 00:36:02,480 --> 00:36:07,799 Speaker 2: faces monsters, shipwrecks, false comforts, and impossible choices on his 657 00:36:07,840 --> 00:36:10,560 Speaker 2: long journey home. As one of the foundational works of 658 00:36:10,600 --> 00:36:14,480 Speaker 2: Western literature, Homer's Epic is more than a mythology. It 659 00:36:14,560 --> 00:36:19,880 Speaker 2: explores permanent questions about courage, duty, loyalty, family, leadership, temptation, 660 00:36:20,360 --> 00:36:23,080 Speaker 2: and the search for home. In one of the epic's 661 00:36:23,200 --> 00:36:26,880 Speaker 2: defining moments, Odysseus rejects the offer of immortality from the 662 00:36:26,880 --> 00:36:30,520 Speaker 2: goddess Calypso, choosing instead the long and difficult journey home. 663 00:36:30,920 --> 00:36:33,840 Speaker 2: His decision reveals one of the central themes of the Odyssey, 664 00:36:34,120 --> 00:36:36,680 Speaker 2: that a life of duty, family, and home is greater 665 00:36:36,719 --> 00:36:40,360 Speaker 2: than a life devoted to comfort or glory. Achilles chose glory, 666 00:36:40,560 --> 00:36:44,520 Speaker 2: Odysseus chose home. That's why Hillsdale College has released its 667 00:36:44,600 --> 00:36:49,480 Speaker 2: newest free online course, The Odyssey, taught by Professor Benedict Whalen. 668 00:36:49,880 --> 00:36:53,000 Speaker 2: The course reveals why Homer's masterpiece remains one of the 669 00:36:53,040 --> 00:36:56,560 Speaker 2: greatest works of Western literature. Find this free course at 670 00:36:56,640 --> 00:37:00,760 Speaker 2: Charlie for Hillsdale dot com. As Charlie for Hillsdale dot com, 671 00:37:00,880 --> 00:37:04,880 Speaker 2: read the classics, study the West the Odyssey from Hillsdale College. 672 00:37:04,920 --> 00:37:11,560 Speaker 2: Go to Charlie fur Hillsdale dot com. It is Friday 673 00:37:11,680 --> 00:37:14,680 Speaker 2: Hour two. That means it's our ask Us Anything hour. 674 00:37:14,760 --> 00:37:16,640 Speaker 2: If you want to take part in one of these 675 00:37:17,440 --> 00:37:20,680 Speaker 2: in the coming weeks. We really really recommend you do. 676 00:37:20,719 --> 00:37:23,680 Speaker 2: We love these hours and you can take part by 677 00:37:23,880 --> 00:37:26,879 Speaker 2: joining us at members dot Charliekirk dot com. Members dot 678 00:37:27,000 --> 00:37:31,440 Speaker 2: charliekirk dot com sign up, become a subscribing member. You 679 00:37:31,560 --> 00:37:35,200 Speaker 2: are our most valued audience members. We love you, guys, 680 00:37:35,200 --> 00:37:36,880 Speaker 2: and we appreciate it. And you get the chance to 681 00:37:36,920 --> 00:37:39,880 Speaker 2: be on the show on Friday for our ask us anything. 682 00:37:40,000 --> 00:37:45,399 Speaker 2: So we have Danny, Danny's joining us, Danny, how you doing, 683 00:37:45,440 --> 00:37:50,080 Speaker 2: Buddy and Blake and myself. So let's let's get things started. 684 00:37:50,440 --> 00:37:51,399 Speaker 2: Who's our first up? 685 00:37:51,840 --> 00:37:52,680 Speaker 5: We have Kelsey. 686 00:37:53,200 --> 00:37:55,759 Speaker 2: Kelsey, guys, please let me mute yourself and welcome to 687 00:37:55,800 --> 00:37:56,160 Speaker 2: the show. 688 00:37:57,800 --> 00:38:00,640 Speaker 7: Yes, so real quick. Before my question, I want to 689 00:38:00,640 --> 00:38:03,480 Speaker 7: thank you for your election coverage just past Tuesday. I 690 00:38:03,680 --> 00:38:08,200 Speaker 7: enjoyed it and congratulations on your Arizona wins. So my 691 00:38:08,320 --> 00:38:11,960 Speaker 7: question for you is, Yeah, So I've been hearing more 692 00:38:11,960 --> 00:38:15,920 Speaker 7: and more about flock cameras. Simply put, one side claims 693 00:38:15,960 --> 00:38:18,800 Speaker 7: they're a helpful tool for law enforcement to solve crimes. 694 00:38:18,880 --> 00:38:22,160 Speaker 7: The other side raises concerns that it's another step towards 695 00:38:22,200 --> 00:38:25,319 Speaker 7: handing away our freedom of privacy and wondering what the 696 00:38:25,480 --> 00:38:28,759 Speaker 7: Ck Show thoughts on this are and do the benefits 697 00:38:28,960 --> 00:38:30,520 Speaker 7: outweigh the infringements. 698 00:38:30,880 --> 00:38:31,840 Speaker 5: That's a great question. 699 00:38:32,120 --> 00:38:35,200 Speaker 3: I've heard about this, So flock cameras for those who 700 00:38:35,200 --> 00:38:38,080 Speaker 3: don't know, I know Tucker's Show did an episode on this. 701 00:38:38,160 --> 00:38:40,720 Speaker 5: A few others have talked about them. Flock cameras. 702 00:38:40,800 --> 00:38:43,920 Speaker 3: They're a kind of early iteration of technology we're going 703 00:38:43,960 --> 00:38:45,319 Speaker 3: to be seeing a lot more now. 704 00:38:45,560 --> 00:38:46,160 Speaker 5: They're cameras. 705 00:38:46,160 --> 00:38:49,200 Speaker 3: We've always had cameras, but what flock cameras are is 706 00:38:49,239 --> 00:38:50,799 Speaker 3: they add this AI. 707 00:38:50,640 --> 00:38:52,920 Speaker 5: Element to them. Where they build them. 708 00:38:52,719 --> 00:38:54,760 Speaker 3: And they put them in spots, and they can track 709 00:38:55,600 --> 00:38:57,920 Speaker 3: where cars are going, and they can log the license 710 00:38:57,960 --> 00:39:00,920 Speaker 3: played automatically. They can log the make and model of 711 00:39:00,960 --> 00:39:04,560 Speaker 3: the car. They can log which direction the car is 712 00:39:04,600 --> 00:39:07,120 Speaker 3: going and send it all to a database. And you 713 00:39:07,160 --> 00:39:10,279 Speaker 3: can see how this would be pretty useful to law 714 00:39:10,360 --> 00:39:15,840 Speaker 3: enforcement because basically, like they can have a crime happen 715 00:39:15,960 --> 00:39:17,680 Speaker 3: and they can be like, oh, there's reports of this 716 00:39:18,080 --> 00:39:20,880 Speaker 3: of maybe a certain type of car, go to the database, 717 00:39:20,920 --> 00:39:23,600 Speaker 3: and bam, they don't need to go and manually watch 718 00:39:23,640 --> 00:39:25,720 Speaker 3: a ton of footage, which used to be that limit 719 00:39:25,760 --> 00:39:27,640 Speaker 3: on how much security footage you could have is someone 720 00:39:27,680 --> 00:39:29,560 Speaker 3: would have to go watch it. Now it's like there's 721 00:39:29,600 --> 00:39:33,560 Speaker 3: an AI robot watching it and they can just collect 722 00:39:33,719 --> 00:39:36,160 Speaker 3: way more data and use way more data. And the 723 00:39:36,200 --> 00:39:39,680 Speaker 3: claim for this is it will let them fight crime. 724 00:39:40,719 --> 00:39:43,440 Speaker 3: Now there's a possible issue here. 725 00:39:44,239 --> 00:39:46,840 Speaker 10: Yeah, it tracks like people whether they're doing stuff or so, 726 00:39:46,960 --> 00:39:51,640 Speaker 10: like regular traffic cameras like obviously only scan you or 727 00:39:51,640 --> 00:39:54,280 Speaker 10: take pictures of you when you commit like a crime 728 00:39:54,280 --> 00:39:57,359 Speaker 10: of some sort, this will scan every car that goes by, 729 00:39:57,440 --> 00:39:59,920 Speaker 10: no matter what. So the police can literally be like, 730 00:40:00,239 --> 00:40:03,320 Speaker 10: show me every black f one fifty that's driven past 731 00:40:03,360 --> 00:40:05,799 Speaker 10: this street in the last day, and it'll show them 732 00:40:05,840 --> 00:40:08,239 Speaker 10: like a long list of stuff, which I mean I 733 00:40:08,280 --> 00:40:11,160 Speaker 10: could see down the line, this could get a little 734 00:40:11,160 --> 00:40:14,160 Speaker 10: scary depending on how they expand it. So that's really 735 00:40:14,239 --> 00:40:16,480 Speaker 10: the concern is how is this going to be built 736 00:40:16,480 --> 00:40:20,359 Speaker 10: out from here? But I don't see, Like so this 737 00:40:20,400 --> 00:40:23,680 Speaker 10: is being implemented. But like shot Spotter and like Chicago 738 00:40:23,800 --> 00:40:26,200 Speaker 10: was all taken away, Like I feel like that was 739 00:40:26,200 --> 00:40:29,160 Speaker 10: a much better technology that actually can be used to 740 00:40:29,200 --> 00:40:31,719 Speaker 10: solve stuff like this. I feel like it's more just 741 00:40:31,800 --> 00:40:33,480 Speaker 10: worthless spying on people kind of. 742 00:40:33,840 --> 00:40:36,840 Speaker 2: Well, it's it's definitely a great tool for law enforcement. 743 00:40:36,840 --> 00:40:39,080 Speaker 2: So I understand why law enforcement wants it because it 744 00:40:39,120 --> 00:40:43,319 Speaker 2: could scan the license plates. It can you know, you know, 745 00:40:43,400 --> 00:40:46,000 Speaker 2: oftentimes what happens in a crime scene is they have 746 00:40:46,040 --> 00:40:48,440 Speaker 2: to try and close down the egress, right, so they 747 00:40:48,440 --> 00:40:51,359 Speaker 2: try and block anywhere people can get out. This gives 748 00:40:51,360 --> 00:40:53,759 Speaker 2: them an added tool to be able to address that. Now, 749 00:40:53,800 --> 00:40:57,600 Speaker 2: my problem is that it does become a surveillance state, 750 00:40:57,800 --> 00:41:02,080 Speaker 2: right it in the company behind this flock is already 751 00:41:02,239 --> 00:41:06,279 Speaker 2: expanding these AI tools, expanding face or recognition, expanding into 752 00:41:06,280 --> 00:41:08,680 Speaker 2: all kinds of different things. So it becomes a surveillance state. 753 00:41:09,360 --> 00:41:12,759 Speaker 2: And here's my kind of basic you know, thought on 754 00:41:12,800 --> 00:41:15,920 Speaker 2: it is like I just don't trust tech companies at all. 755 00:41:15,960 --> 00:41:20,759 Speaker 2: And you know there are pay you know, there's a 756 00:41:20,840 --> 00:41:24,360 Speaker 2: cost to freedom and liberty, right, and I think you 757 00:41:24,440 --> 00:41:26,719 Speaker 2: have to weigh all those things in the balance. My 758 00:41:26,960 --> 00:41:31,000 Speaker 2: general disposition towards it is I'm very skeptical because tech 759 00:41:31,040 --> 00:41:33,919 Speaker 2: companies have proven that they don't always put America first. Right. 760 00:41:34,360 --> 00:41:36,279 Speaker 2: If they're willing to give up their H one b's, 761 00:41:36,400 --> 00:41:40,080 Speaker 2: maybe I'll be able to be more sympathetic to basically 762 00:41:40,120 --> 00:41:41,719 Speaker 2: my general disposition. 763 00:41:41,560 --> 00:41:44,400 Speaker 3: I'll go the other way. I get not trusting tech companies. 764 00:41:44,440 --> 00:41:47,359 Speaker 3: For me, the best argument against this is government that 765 00:41:48,120 --> 00:41:51,319 Speaker 3: if it really was we're only going to stop criminals, 766 00:41:51,560 --> 00:41:52,080 Speaker 3: I get it. 767 00:41:52,120 --> 00:41:54,400 Speaker 5: But we've seen, for example, we. 768 00:41:54,280 --> 00:41:57,799 Speaker 3: Saw the deep state as it were, they you know, 769 00:41:57,840 --> 00:42:01,160 Speaker 3: the intelligence apparatus of the US colluded, pressured tech companies 770 00:42:01,520 --> 00:42:04,160 Speaker 3: suppress this New York Post story suppressed the Hunter Biden 771 00:42:04,239 --> 00:42:08,200 Speaker 3: laptop as an example. And we've seen there was a 772 00:42:08,280 --> 00:42:11,359 Speaker 3: very sinister thing when January sixth happened, where like a 773 00:42:11,440 --> 00:42:15,200 Speaker 3: lot of Facebook data ended up getting like leaked out 774 00:42:15,320 --> 00:42:18,040 Speaker 3: to the press to basically cover the movements of people 775 00:42:18,080 --> 00:42:21,239 Speaker 3: who were allegedly president at January sixth, and then they 776 00:42:21,280 --> 00:42:23,399 Speaker 3: were like profiling people and docs in them even before 777 00:42:23,440 --> 00:42:26,439 Speaker 3: they were actually charged with any crimes. And so where 778 00:42:26,480 --> 00:42:28,680 Speaker 3: I can feel like this is ominous as it just 779 00:42:28,719 --> 00:42:34,480 Speaker 3: seems frightening for any government apparatus to have that amount 780 00:42:34,480 --> 00:42:37,920 Speaker 3: of information about what people are doing and where they 781 00:42:37,920 --> 00:42:38,400 Speaker 3: are going. 782 00:42:38,480 --> 00:42:40,680 Speaker 5: And so I just think of an example. 783 00:42:40,680 --> 00:42:44,839 Speaker 3: Let's say you're having let's say we had a COVID 784 00:42:44,880 --> 00:42:46,560 Speaker 3: type thing, and when they were saying you shouldn't be 785 00:42:46,640 --> 00:42:49,880 Speaker 3: assembling for religious services, what if they were just starting 786 00:42:49,920 --> 00:42:53,640 Speaker 3: to track every car that was going in the direction 787 00:42:53,800 --> 00:42:55,920 Speaker 3: of where that church was, even if they didn't have 788 00:42:55,960 --> 00:42:58,600 Speaker 3: people monitoring it. And then at that point, oh, you 789 00:42:58,600 --> 00:43:00,640 Speaker 3: can track every single person who is a member of 790 00:43:00,680 --> 00:43:03,200 Speaker 3: this church because you can sense who's going to that 791 00:43:03,320 --> 00:43:06,640 Speaker 3: church every Sunday. It creates such a way for if 792 00:43:06,640 --> 00:43:08,640 Speaker 3: you're the FBI and you're deciding, like when they were 793 00:43:08,640 --> 00:43:12,359 Speaker 3: monitoring Latin Mass as a thing, uh, you suddenly are 794 00:43:12,360 --> 00:43:14,800 Speaker 3: just building video. So here's everyone we know who's going, 795 00:43:15,360 --> 00:43:17,919 Speaker 3: who's driving to this church that does the Latin Mass, 796 00:43:17,920 --> 00:43:21,160 Speaker 3: which we've decided is this extremist threat. It's a little 797 00:43:21,239 --> 00:43:24,640 Speaker 3: too much information for the government to just be passively 798 00:43:24,680 --> 00:43:27,080 Speaker 3: collecting at all times. And that creates me out a 799 00:43:27,120 --> 00:43:30,480 Speaker 3: little bit, and I can definitely understand why that worries people. 800 00:43:30,760 --> 00:43:32,879 Speaker 10: Well, it's also because you can't tell me that you're 801 00:43:32,920 --> 00:43:35,319 Speaker 10: trying to solve crime when like in Chicago you get 802 00:43:35,360 --> 00:43:38,479 Speaker 10: rid of shot Spotter, which like actually helps solve crime, 803 00:43:38,520 --> 00:43:41,000 Speaker 10: but then you're okay with flock being put in. It's 804 00:43:41,040 --> 00:43:44,520 Speaker 10: like you you can't really tell me that you're well, 805 00:43:44,560 --> 00:43:46,960 Speaker 10: a lot of the concerns are crime when you haven't 806 00:43:46,960 --> 00:43:49,440 Speaker 10: really done the first steps to actually solving the crime. 807 00:43:49,560 --> 00:43:51,160 Speaker 2: Yeah, I mean a lot of them, a lot of 808 00:43:52,040 --> 00:43:54,680 Speaker 2: go ahead, A lot of liberal cities are not are 809 00:43:54,920 --> 00:43:57,839 Speaker 2: are taking them out right now. So LAPD suspended, used, 810 00:43:57,960 --> 00:44:03,160 Speaker 2: Mountain View, California, suspended US used or disabled it, Berkeley, Houston, Cleveland, 811 00:44:03,239 --> 00:44:04,960 Speaker 2: all right, so they're but but it's. 812 00:44:04,840 --> 00:44:08,920 Speaker 5: Tough, like Chicago still has. It's tough because in Chicago, 813 00:44:08,920 --> 00:44:12,240 Speaker 5: for example, but fifty percent of crimes go unsolved, murders 814 00:44:12,280 --> 00:44:12,840 Speaker 5: go unsolved. 815 00:44:12,840 --> 00:44:15,200 Speaker 3: So there are people who will die, there are people 816 00:44:15,239 --> 00:44:18,839 Speaker 3: who will get away with murder because we don't have 817 00:44:18,920 --> 00:44:21,080 Speaker 3: these And so that's a calculation you need to make, 818 00:44:21,200 --> 00:44:23,719 Speaker 3: is how much information are you willing to give government 819 00:44:24,320 --> 00:44:28,319 Speaker 3: for the sake of having people not be murdered? And 820 00:44:28,360 --> 00:44:31,560 Speaker 3: that's I mean, Benjamin Franklin. 821 00:44:31,840 --> 00:44:35,200 Speaker 2: They've already been abused though, seeing multiple cases of officers 822 00:44:35,280 --> 00:44:39,120 Speaker 2: using the system to stock ex partners or romantic interests 823 00:44:39,360 --> 00:44:45,680 Speaker 2: or critics. They've been used to stock pro lifers. So 824 00:44:45,719 --> 00:44:48,239 Speaker 2: I didn't even know that that's exactly what I was saying, 825 00:44:48,840 --> 00:44:51,200 Speaker 2: surveillance is going to be used against. 826 00:44:50,880 --> 00:44:54,360 Speaker 5: I would say, here's here's my proposal. Here's my proposal. 827 00:44:54,480 --> 00:44:57,520 Speaker 3: First, you bring back shot Spotter, because there's nothing wrong 828 00:44:57,520 --> 00:45:00,719 Speaker 3: with shot spotter. And then before we decide to have 829 00:45:00,760 --> 00:45:03,400 Speaker 3: the panopticon to punish all crimes, how about we just 830 00:45:03,440 --> 00:45:06,440 Speaker 3: actually punish crimes. So, if you're going to have a 831 00:45:06,480 --> 00:45:09,880 Speaker 3: vagrant on the subway who's terrorizing people, anti social behavior, 832 00:45:10,080 --> 00:45:12,120 Speaker 3: people doing these petty assaults them they heard to drop. 833 00:45:12,280 --> 00:45:15,520 Speaker 3: Let's try stopping crime by punishing the crimes that we 834 00:45:15,600 --> 00:45:16,120 Speaker 3: actually get. 835 00:45:17,120 --> 00:45:18,280 Speaker 5: And then once we do that. 836 00:45:18,200 --> 00:45:20,080 Speaker 3: We can say, oh, there's too much crime still, we 837 00:45:20,080 --> 00:45:21,239 Speaker 3: should have the panopticons. 838 00:45:21,800 --> 00:45:25,640 Speaker 5: That's a great question. I'm really glad that. 839 00:45:25,800 --> 00:45:28,839 Speaker 2: Here's my proposal. If you have if you have over 840 00:45:28,880 --> 00:45:32,880 Speaker 2: a certain number of murders in your community, then it 841 00:45:33,160 --> 00:45:35,720 Speaker 2: gets mandated, okay. Or if you have a certain number 842 00:45:35,719 --> 00:45:38,040 Speaker 2: of illegals in your community, how about that everywhere else 843 00:45:38,080 --> 00:45:40,160 Speaker 2: will be free from the surveillance state. All right, who 844 00:45:40,160 --> 00:45:40,920 Speaker 2: do we got next? 845 00:45:41,480 --> 00:45:44,200 Speaker 5: Don I believe right? Don don unmeete yourself and what's 846 00:45:44,200 --> 00:45:46,280 Speaker 5: your question? Hi, guys? 847 00:45:46,280 --> 00:45:52,520 Speaker 8: Next taking my call? I started but ten months ago, 848 00:45:52,600 --> 00:45:58,040 Speaker 8: I started hearing people talking about color revolutions. I've never 849 00:45:58,120 --> 00:46:00,440 Speaker 8: heard of that before, so I looked into it, and 850 00:46:00,480 --> 00:46:03,480 Speaker 8: that's that seems to be what's going on. I'm just wondering, 851 00:46:03,600 --> 00:46:05,160 Speaker 8: what what what? 852 00:46:05,160 --> 00:46:05,359 Speaker 5: What? 853 00:46:05,400 --> 00:46:07,799 Speaker 8: Your opinion is all right. 854 00:46:07,840 --> 00:46:10,160 Speaker 5: That was a that was a label Charlie really liked. 855 00:46:10,239 --> 00:46:11,000 Speaker 5: I think he got it. 856 00:46:11,320 --> 00:46:13,840 Speaker 3: I know, I know Darren Beattie at Revolver would come on, 857 00:46:13,880 --> 00:46:16,279 Speaker 3: he would talk about that. So color revolution that comes 858 00:46:16,320 --> 00:46:18,960 Speaker 3: from if you look at history, there's a lot of 859 00:46:19,239 --> 00:46:21,400 Speaker 3: revolutions in other countries and they love to give a 860 00:46:21,440 --> 00:46:24,239 Speaker 3: color to them. So they're the Jasmine Revolution or the 861 00:46:24,280 --> 00:46:25,520 Speaker 3: Orange Revolution. 862 00:46:25,200 --> 00:46:26,800 Speaker 5: I think was our Ukraine. 863 00:46:27,239 --> 00:46:31,399 Speaker 3: And it sort of describes these popular uprisings where there's 864 00:46:31,440 --> 00:46:34,840 Speaker 3: a bunch of people rallying in the square and then 865 00:46:35,480 --> 00:46:38,600 Speaker 3: stuff happens and the government loses support and then the 866 00:46:38,640 --> 00:46:42,440 Speaker 3: president has to flee and disgrace or whatever. And what 867 00:46:42,520 --> 00:46:44,759 Speaker 3: was so cool about is how Darren and I think 868 00:46:44,800 --> 00:46:46,600 Speaker 3: Mike Ben's was also an expert on this, as he'd 869 00:46:46,680 --> 00:46:49,080 Speaker 3: lay it out, is how there's this is not really 870 00:46:49,080 --> 00:46:51,000 Speaker 3: a purely popular activity. 871 00:46:51,040 --> 00:46:52,640 Speaker 5: It's a way of laundering a. 872 00:46:52,600 --> 00:46:56,400 Speaker 3: Political change that often powerful people want to have happened. 873 00:46:56,440 --> 00:46:58,520 Speaker 5: So you'll have people in the square. 874 00:46:58,600 --> 00:47:00,720 Speaker 3: And does a bunch of people ra in a square 875 00:47:00,800 --> 00:47:04,359 Speaker 3: mean that there's a popular mandate to change the government, Well, no, 876 00:47:04,440 --> 00:47:06,760 Speaker 3: like you can put twenty thousand people in a square 877 00:47:06,760 --> 00:47:08,680 Speaker 3: as a tiny minority of a country, even if it 878 00:47:08,719 --> 00:47:11,440 Speaker 3: looks really impressive in person. And so as an example, 879 00:47:11,480 --> 00:47:14,800 Speaker 3: that Orange Revolution in Ukraine, you have tens of thousands 880 00:47:14,840 --> 00:47:16,759 Speaker 3: of people in Kiev. You say the government's bad, but 881 00:47:17,000 --> 00:47:19,360 Speaker 3: the government's base of support was in the eastern part. 882 00:47:19,200 --> 00:47:23,919 Speaker 5: Of the country. They're not in Kiev. But then they're demonstrating. 883 00:47:23,960 --> 00:47:25,440 Speaker 5: You have media coverage. 884 00:47:25,480 --> 00:47:28,359 Speaker 3: And then if they start maybe they start demonstrating, they 885 00:47:28,360 --> 00:47:31,520 Speaker 3: start pressuring the police. And if the police ever shoot, 886 00:47:31,560 --> 00:47:34,800 Speaker 3: you go. The police have fired upon the peaceful protesters. 887 00:47:34,600 --> 00:47:38,000 Speaker 3: This government has lost legitimacy, and you stoke it, you 888 00:47:38,000 --> 00:47:41,800 Speaker 3: stoke international condemnation, you stoke NGOs to say this government 889 00:47:41,920 --> 00:47:46,480 Speaker 3: must go, and eventually government falls from power. And now 890 00:47:46,600 --> 00:47:48,840 Speaker 3: I don't think we're in that in the US right now, 891 00:47:49,280 --> 00:47:52,160 Speaker 3: but that is a pretty good characterization of a lot 892 00:47:52,160 --> 00:47:55,400 Speaker 3: of the phenomena that went into the twenty twenty election. 893 00:47:55,520 --> 00:47:58,640 Speaker 3: As an example, where Donald Trump, he was mounting a 894 00:47:58,840 --> 00:48:01,360 Speaker 3: legal challenge to how things had gone down in the States, 895 00:48:01,560 --> 00:48:05,960 Speaker 3: and this was presented as an unforgivable offense to overturn democracy, 896 00:48:06,040 --> 00:48:08,920 Speaker 3: and you had law firms would refuse to represent his 897 00:48:09,000 --> 00:48:12,399 Speaker 3: legal challenge. And then after j six you had them 898 00:48:12,440 --> 00:48:16,280 Speaker 3: shutting down his bank account and they're turfing out parlor 899 00:48:16,360 --> 00:48:18,680 Speaker 3: and all of this, and on top of that the 900 00:48:18,719 --> 00:48:21,920 Speaker 3: suppression of the Hunter Biden laptop. There was just a 901 00:48:21,960 --> 00:48:25,680 Speaker 3: lot of Paris state actors, not the government, not really 902 00:48:26,160 --> 00:48:29,640 Speaker 3: local police. It was just NGOs and the media teaming 903 00:48:29,760 --> 00:48:32,640 Speaker 3: up to say Donald Trump cannot be president anymore. 904 00:48:33,600 --> 00:48:34,719 Speaker 5: And that feels a lot like. 905 00:48:34,760 --> 00:48:38,440 Speaker 2: Color I think of, I think of the mostly peaceful 906 00:48:38,880 --> 00:48:41,440 Speaker 2: Floyda pal exactly exactly. 907 00:48:42,040 --> 00:48:45,520 Speaker 5: Everyone's saying, it's almost well, they're burning everything. 908 00:48:46,480 --> 00:48:50,160 Speaker 2: Yeah, it basically it was. So what what what Blake 909 00:48:50,239 --> 00:48:52,040 Speaker 2: is getting at is a lot of this comes from 910 00:48:52,200 --> 00:48:57,640 Speaker 2: the old Soviet Union, right, these uh, these countries would 911 00:48:57,640 --> 00:49:01,040 Speaker 2: get overthrown. You had the Tulip Revolution, the Rose Revolution, 912 00:49:01,920 --> 00:49:06,480 Speaker 2: and a lot of you know, international actors assumed that 913 00:49:06,640 --> 00:49:10,960 Speaker 2: USAID National Endowment for Democracy, Open Society's Foundation, coordinated with 914 00:49:11,160 --> 00:49:14,960 Speaker 2: NGOs and international press outlets, would cause these regimes to 915 00:49:15,000 --> 00:49:17,800 Speaker 2: fall in order to build up and expand the influence 916 00:49:17,840 --> 00:49:20,120 Speaker 2: of NATO, the EU, that that sort of thing. Those 917 00:49:20,120 --> 00:49:23,200 Speaker 2: same actors that orchestrated that are deeply embedded within the 918 00:49:23,400 --> 00:49:26,880 Speaker 2: NGO structure in the United States and they have absolutely 919 00:49:27,520 --> 00:49:31,239 Speaker 2: used this same formula against President Trump, and I think 920 00:49:31,280 --> 00:49:34,480 Speaker 2: George Floyd is probably the single greatest example that we 921 00:49:34,520 --> 00:49:37,319 Speaker 2: have in twenty twenty. But you could also look at 922 00:49:37,320 --> 00:49:40,400 Speaker 2: the anti ICE riots. That's why there's so much money 923 00:49:40,440 --> 00:49:43,759 Speaker 2: and so much coordination on the NGO side, because they 924 00:49:43,800 --> 00:49:47,080 Speaker 2: want to spark at least the optics that there is 925 00:49:47,120 --> 00:49:50,560 Speaker 2: a popular uprising against an unpopular president, and so they 926 00:49:50,800 --> 00:49:55,319 Speaker 2: use wedge issues or they use events that they think 927 00:49:55,360 --> 00:49:59,000 Speaker 2: they can they can then garner a lot of attention 928 00:49:59,120 --> 00:50:02,719 Speaker 2: with right. So we saw that with Renee Good her 929 00:50:03,000 --> 00:50:05,640 Speaker 2: when she was killed basically being a lunatic in a 930 00:50:05,680 --> 00:50:10,720 Speaker 2: car in Minnesota protesting ICE. That's what. We're not happy 931 00:50:10,760 --> 00:50:13,720 Speaker 2: that she got killed. We're not happy she got killed. 932 00:50:14,640 --> 00:50:17,359 Speaker 2: But at the same time, there's a reason she was. 933 00:50:17,480 --> 00:50:19,960 Speaker 2: She was killed because she was disobeying police and she 934 00:50:20,000 --> 00:50:20,600 Speaker 2: was being a mania. 935 00:50:20,640 --> 00:50:21,759 Speaker 5: Well no, even just get beyond that. 936 00:50:21,760 --> 00:50:24,200 Speaker 2: That just ended up being used. They tried to use, yeah, 937 00:50:24,280 --> 00:50:24,680 Speaker 2: go ahead. 938 00:50:24,680 --> 00:50:27,080 Speaker 3: They tried to use Renee Good to just basically say, 939 00:50:27,200 --> 00:50:29,479 Speaker 3: because this one incident happened in one city, we don't 940 00:50:29,480 --> 00:50:31,920 Speaker 3: have we can't have ICE, we can't have deportations, we 941 00:50:31,960 --> 00:50:35,200 Speaker 3: can't have a border anymore. They really tried to stoke that, 942 00:50:35,680 --> 00:50:38,600 Speaker 3: and I think in twenty nineteen, twenty twenty it would 943 00:50:38,680 --> 00:50:42,960 Speaker 3: have worked. We've gotten better at our defenses against these tactics, 944 00:50:43,239 --> 00:50:45,760 Speaker 3: so the right was able to say, as you said, Andrew, 945 00:50:45,920 --> 00:50:49,359 Speaker 3: it's sad that that woman died, but we actually knew 946 00:50:49,360 --> 00:50:52,360 Speaker 3: to say. This is what they wanted. The Left want 947 00:50:52,640 --> 00:50:55,480 Speaker 3: these people to get out there, put themselves in danger, 948 00:50:55,760 --> 00:50:58,720 Speaker 3: cause friction where someone panics or someone makes a mistake 949 00:50:58,960 --> 00:51:02,120 Speaker 3: and someone dies, and use that to overturn our laws. 950 00:51:02,400 --> 00:51:05,359 Speaker 3: You have to recognize what they're doing and basically. 951 00:51:05,120 --> 00:51:07,200 Speaker 10: Call them and twenty they already did. 952 00:51:07,360 --> 00:51:09,600 Speaker 5: I mean they were successful. They were successful then, but 953 00:51:09,640 --> 00:51:13,160 Speaker 5: this time we we just we wised up. 954 00:51:13,239 --> 00:51:17,080 Speaker 2: Yeah, well here's what Here's what you look for, don 955 00:51:17,440 --> 00:51:20,480 Speaker 2: is you look for an inciting incident, which you had 956 00:51:20,520 --> 00:51:24,200 Speaker 2: Renee Good and Alex Pretty in Minneapolis. They were being 957 00:51:24,360 --> 00:51:29,479 Speaker 2: completely engineered and trained to go, you know, cause good 958 00:51:29,480 --> 00:51:31,600 Speaker 2: trouble as the left likes it, likes to call it. 959 00:51:31,760 --> 00:51:33,880 Speaker 2: So they're gonna get in the faces of these ice officers, 960 00:51:33,920 --> 00:51:37,000 Speaker 2: are going to cause uh, some terrible incident to happen, 961 00:51:37,160 --> 00:51:40,200 Speaker 2: somebody loses their life. Then what happens. Then you have 962 00:51:40,239 --> 00:51:42,839 Speaker 2: a ton of money flowing into these NGOs and then 963 00:51:42,840 --> 00:51:48,960 Speaker 2: they do the No Kings rallies right all across the country, CNN, MSNBC, ABC, CBS, 964 00:51:48,960 --> 00:51:51,120 Speaker 2: New York Times, they all cover it wall to wall 965 00:51:51,640 --> 00:51:54,759 Speaker 2: and they make a huge deal about this, whether or 966 00:51:54,800 --> 00:51:57,200 Speaker 2: not there's popular support for it or not, there's enough. 967 00:51:57,280 --> 00:51:59,279 Speaker 2: And this is why when you hear clips like and 968 00:51:59,280 --> 00:52:02,440 Speaker 2: we should actually put this clip from like Rachel Maddow 969 00:52:02,719 --> 00:52:04,920 Speaker 2: where she says you only need three and a half 970 00:52:05,000 --> 00:52:09,600 Speaker 2: percent of really dedicated population to get behind these revolutionary 971 00:52:09,680 --> 00:52:12,319 Speaker 2: tactics to be true believers, and you can overthrow the 972 00:52:12,320 --> 00:52:15,920 Speaker 2: government because they the belief in the theory is that 973 00:52:15,960 --> 00:52:21,279 Speaker 2: they can project a popular support for a movement with 974 00:52:21,320 --> 00:52:24,000 Speaker 2: three and a half percent, whether that's the No King's rallies, 975 00:52:24,040 --> 00:52:26,439 Speaker 2: the media coverage or whatever. And I cannot just score 976 00:52:26,480 --> 00:52:29,000 Speaker 2: this point enough. The same people that orchestrated a lot 977 00:52:29,000 --> 00:52:35,000 Speaker 2: of this in the Eastern Bloc, they are now domestic activists. 978 00:52:35,040 --> 00:52:37,279 Speaker 2: They are working in the NGO system trying to take 979 00:52:37,400 --> 00:52:42,600 Speaker 2: down President Trump. It's a total real thing. Hi, folks, 980 00:52:42,840 --> 00:52:45,239 Speaker 2: Andrew Colvett here, I'd like to tell you about my 981 00:52:45,320 --> 00:52:48,000 Speaker 2: friends over at why REFI. You've probably been hearing me 982 00:52:48,080 --> 00:52:50,799 Speaker 2: talk about y Refi for some time. Now we are 983 00:52:51,040 --> 00:52:54,000 Speaker 2: all in with these guys. If you or someone you 984 00:52:54,040 --> 00:52:56,759 Speaker 2: know is struggling with private student loan debt, take my 985 00:52:56,800 --> 00:52:59,600 Speaker 2: advice and give them a call. Maybe you're behind on 986 00:52:59,640 --> 00:53:03,440 Speaker 2: your pain, maybe you're even in default. You don't have 987 00:53:03,480 --> 00:53:06,360 Speaker 2: to live in this nightmare anymore. Why Refi will provide 988 00:53:06,400 --> 00:53:09,200 Speaker 2: you a custom payment based on your ability to pay. 989 00:53:09,480 --> 00:53:13,560 Speaker 2: They tailor each loan individually. They can save you thousands 990 00:53:13,560 --> 00:53:16,359 Speaker 2: of dollars and you can get your life back. We 991 00:53:16,400 --> 00:53:18,920 Speaker 2: go to campuses all over America and we see student 992 00:53:19,000 --> 00:53:22,359 Speaker 2: after student who's drowning in private student loan debt. Many 993 00:53:22,360 --> 00:53:24,680 Speaker 2: of them don't even know how much they owe. Why 994 00:53:24,800 --> 00:53:28,239 Speaker 2: Refi can help. Just go to wyrefi dot com. That's 995 00:53:28,239 --> 00:53:32,520 Speaker 2: the letter, why then refi dot com. And remember why 996 00:53:32,640 --> 00:53:34,719 Speaker 2: Refi doesn't care what your credit score is. Just go 997 00:53:34,800 --> 00:53:37,960 Speaker 2: to yrefi dot com and tell them your friend Andrews 998 00:53:38,000 --> 00:53:42,759 Speaker 2: sent you. We have that clip I was talking about, 999 00:53:42,760 --> 00:53:45,839 Speaker 2: which I think it's so important. We're talking about color revolutions, 1000 00:53:45,880 --> 00:53:50,240 Speaker 2: Blake and Danny, and I think to assume that people 1001 00:53:50,280 --> 00:53:52,800 Speaker 2: like Rachel Maddow are not in on the shtick or 1002 00:53:52,880 --> 00:53:54,880 Speaker 2: not in on the game that they're playing would be 1003 00:53:55,160 --> 00:53:58,279 Speaker 2: naive and foolish. Go ahead and play this. It's top 1004 00:53:58,320 --> 00:53:58,839 Speaker 2: twenty three. 1005 00:53:59,239 --> 00:54:04,000 Speaker 1: I know you highlight these peaceful protests on your show regularly. 1006 00:54:04,239 --> 00:54:06,480 Speaker 2: Do you think they do any good? Do you think 1007 00:54:06,520 --> 00:54:08,160 Speaker 2: that anything comes from them? 1008 00:54:08,440 --> 00:54:08,720 Speaker 9: Yes? 1009 00:54:08,880 --> 00:54:09,960 Speaker 2: You do, Yes, I do. 1010 00:54:11,280 --> 00:54:15,360 Speaker 11: I mean, in political science terms, there's what's called the 1011 00:54:15,640 --> 00:54:17,799 Speaker 11: three point five percent role, which is that if you 1012 00:54:17,840 --> 00:54:21,799 Speaker 11: look at authoritarian regimes of various kinds all over the 1013 00:54:21,800 --> 00:54:26,120 Speaker 11: world over the last like century, once you have three 1014 00:54:26,160 --> 00:54:31,240 Speaker 11: and a half percent of a population protesting non violently 1015 00:54:31,400 --> 00:54:35,040 Speaker 11: against a dictator or an authoritarian, that is essentially an 1016 00:54:35,160 --> 00:54:40,640 Speaker 11: unstoppable force that they can't oppose and that precludes them 1017 00:54:40,719 --> 00:54:42,400 Speaker 11: from consolidating. 1018 00:54:41,760 --> 00:54:43,240 Speaker 2: Dictorial three and a half percent. 1019 00:54:43,280 --> 00:54:45,360 Speaker 11: Three and a half percent, it's not that much larger 1020 00:54:45,400 --> 00:54:47,400 Speaker 11: a number than what we're already seeing in the streets 1021 00:54:47,400 --> 00:54:48,319 Speaker 11: against trump. 1022 00:54:50,520 --> 00:54:50,680 Speaker 10: Man. 1023 00:54:50,719 --> 00:54:51,280 Speaker 5: It's a very. 1024 00:54:51,120 --> 00:54:52,120 Speaker 2: Revealing clip, Blake. 1025 00:54:52,280 --> 00:54:54,560 Speaker 5: They do know, they do know. The Left has a 1026 00:54:54,600 --> 00:54:56,520 Speaker 5: tradition of vanguardism. They call it. 1027 00:54:56,560 --> 00:54:58,719 Speaker 3: They believe, you know, they say they believe in the 1028 00:54:58,719 --> 00:55:00,520 Speaker 3: power of the people, But sometimes the people are a 1029 00:55:00,560 --> 00:55:03,439 Speaker 3: little slow and they need they need a nudge from 1030 00:55:03,520 --> 00:55:06,600 Speaker 3: a smaller set, very interesting topic. That was a great 1031 00:55:06,680 --> 00:55:09,440 Speaker 3: question from Don. We have Tom. 1032 00:55:09,160 --> 00:55:10,960 Speaker 2: Next, good question so far today. 1033 00:55:11,040 --> 00:55:12,480 Speaker 5: Unmute yourself. What's your question? 1034 00:55:12,920 --> 00:55:15,040 Speaker 12: Yes, hey, guys, good to see you. Thanks for the 1035 00:55:15,120 --> 00:55:16,560 Speaker 12: awesome job that you do. 1036 00:55:16,840 --> 00:55:18,240 Speaker 5: Thank you listen. 1037 00:55:18,280 --> 00:55:21,359 Speaker 12: I just want a, I guess, an assessment from your 1038 00:55:21,440 --> 00:55:24,400 Speaker 12: point of view, from the thirty thousand foot point of view, 1039 00:55:24,920 --> 00:55:30,239 Speaker 12: on the condition of the MAGA America First Movement. I mean, 1040 00:55:30,360 --> 00:55:33,440 Speaker 12: is it growing, is it stagnant? How are we looking 1041 00:55:33,560 --> 00:55:37,719 Speaker 12: going into the midterms. Just I'll leave it there. There's 1042 00:55:37,760 --> 00:55:39,680 Speaker 12: more I could ask, but i'll leave it there. 1043 00:55:40,239 --> 00:55:42,359 Speaker 2: All right, thank you first start us off. 1044 00:55:42,560 --> 00:55:46,359 Speaker 5: Ah, sure, I'll go. Yeah, I'll be frank. I'll be frank. 1045 00:55:46,400 --> 00:55:50,160 Speaker 3: I think there's a pretty widespread conception, and I think 1046 00:55:50,160 --> 00:55:53,520 Speaker 3: it's accurate that that maga's in it in some rapids. 1047 00:55:53,560 --> 00:55:54,080 Speaker 5: It's in some. 1048 00:55:54,040 --> 00:55:56,520 Speaker 3: Turmoil right now. I don't think Andrew and I have 1049 00:55:56,560 --> 00:55:58,600 Speaker 3: discussed a lot on the show. I think the war 1050 00:55:58,680 --> 00:56:00,000 Speaker 3: with Iran made. 1051 00:55:59,880 --> 00:56:02,440 Speaker 5: A lot of people angry, made a lot of people frustrated. 1052 00:56:03,320 --> 00:56:04,560 Speaker 3: A lot of people are true believers. A lot of 1053 00:56:04,560 --> 00:56:06,359 Speaker 3: people say Trump does it. I support it. A lot 1054 00:56:06,400 --> 00:56:08,680 Speaker 3: of people wanted Trump to do it all along, but 1055 00:56:08,960 --> 00:56:12,319 Speaker 3: it's an issue that has cleaved the movement apart, and 1056 00:56:12,360 --> 00:56:14,279 Speaker 3: that's caused a lot of frustration. 1057 00:56:14,480 --> 00:56:15,480 Speaker 5: I think we've also. 1058 00:56:15,400 --> 00:56:19,520 Speaker 3: Seen some drama from We had Scott Greer on the 1059 00:56:19,520 --> 00:56:22,120 Speaker 3: other day. He called it the insane clown Party, insane 1060 00:56:22,120 --> 00:56:26,800 Speaker 3: clown populism. There's this appeal of very conspiracy driven stuff 1061 00:56:26,840 --> 00:56:29,160 Speaker 3: on the right, and some of those people were part 1062 00:56:29,160 --> 00:56:32,160 Speaker 3: of MAGA, and they've sort of aggressively broken with it. 1063 00:56:32,160 --> 00:56:34,120 Speaker 3: They've said, I am no longer part of it. President 1064 00:56:34,160 --> 00:56:36,960 Speaker 3: Trump has betrayed us. All of this is going on, 1065 00:56:37,800 --> 00:56:40,200 Speaker 3: I think there's still a lot of promising stuff because 1066 00:56:40,239 --> 00:56:42,960 Speaker 3: the administration continues to do good stuff, even if it's 1067 00:56:43,000 --> 00:56:46,760 Speaker 3: not what's in the news that we're still seeing deportations. 1068 00:56:46,920 --> 00:56:48,279 Speaker 5: They actually keep going up. 1069 00:56:48,320 --> 00:56:51,280 Speaker 3: The numbers keep going up, even though it's not front 1070 00:56:51,320 --> 00:56:53,640 Speaker 3: and center. We're still having the war on DEI and 1071 00:56:53,680 --> 00:56:56,359 Speaker 3: a ton of institutions. We're still rooting out a lot 1072 00:56:56,400 --> 00:56:59,960 Speaker 3: of deep state barnacles, a lot of left wing barnicle 1073 00:57:00,200 --> 00:57:03,239 Speaker 3: and a lot of institutions. We're tearing stuff up, We're 1074 00:57:03,239 --> 00:57:05,520 Speaker 3: causing a lot of good. We're doing, frankly, a lot 1075 00:57:05,560 --> 00:57:07,879 Speaker 3: more good than we did in the first Trump administration. 1076 00:57:08,600 --> 00:57:12,040 Speaker 3: And so I think as long as people like us 1077 00:57:12,360 --> 00:57:14,680 Speaker 3: keep highlighting that, I think, and as long as the 1078 00:57:14,719 --> 00:57:18,439 Speaker 3: left keeps careening into the abyss on democratic socialism, there's 1079 00:57:18,480 --> 00:57:21,400 Speaker 3: going to be continued going to continue to be reason 1080 00:57:21,480 --> 00:57:23,280 Speaker 3: to support MEGA And I think a lot of these 1081 00:57:23,280 --> 00:57:25,280 Speaker 3: people will come back and realize that, especially as we 1082 00:57:25,320 --> 00:57:28,439 Speaker 3: get closer to twenty eight. But right now there is Tromo. Yeah, 1083 00:57:28,440 --> 00:57:30,440 Speaker 3: and well, let's be frank, we missed Charlie. Charlie did 1084 00:57:30,440 --> 00:57:33,720 Speaker 3: a lot of you and he's not with us though, Yeah. 1085 00:57:33,680 --> 00:57:37,160 Speaker 2: Yeah, go ahead, Danny, talk about the kids, the student. 1086 00:57:37,160 --> 00:57:40,400 Speaker 10: There's there's an unreal expectation that Trump was gonna come 1087 00:57:40,440 --> 00:57:42,880 Speaker 10: in and within like the first year or two suddenly 1088 00:57:42,920 --> 00:57:45,800 Speaker 10: like transform everything, which is just not possible. And I 1089 00:57:45,800 --> 00:57:48,880 Speaker 10: don't think they really understand that, Like the Senate actually 1090 00:57:48,920 --> 00:57:51,200 Speaker 10: has to pass stuff like this is out of Trump's control. 1091 00:57:51,520 --> 00:57:53,919 Speaker 10: So the Senate taking over a month and a half 1092 00:57:54,000 --> 00:57:58,240 Speaker 10: off straight, like, that's not Trump's fault. And stuff's not 1093 00:57:58,240 --> 00:58:01,600 Speaker 10: getting passed, appointees are not getting pass and confirmed, and 1094 00:58:01,640 --> 00:58:04,800 Speaker 10: Trump's like almost taking the fall for the Senate's failures. 1095 00:58:05,400 --> 00:58:08,640 Speaker 10: And I think the main problem was this unreal expectation 1096 00:58:08,760 --> 00:58:10,800 Speaker 10: that he was going to come in kind of be 1097 00:58:10,920 --> 00:58:14,560 Speaker 10: this dictator that they wanted and then suddenly transform and 1098 00:58:14,640 --> 00:58:17,120 Speaker 10: fix all of these problems within the first year or two, 1099 00:58:17,400 --> 00:58:20,440 Speaker 10: which is not realistic. And then you take that and 1100 00:58:20,480 --> 00:58:23,120 Speaker 10: you also add in the Epstein stuff and like bad 1101 00:58:23,160 --> 00:58:25,920 Speaker 10: PR and it just compiles on each other where they're 1102 00:58:26,000 --> 00:58:29,520 Speaker 10: kind of just like, we don't care anymore, We're not 1103 00:58:29,520 --> 00:58:31,360 Speaker 10: going to vote, and it's kind of just from this 1104 00:58:31,440 --> 00:58:34,520 Speaker 10: misconception that we're going to be able to do more 1105 00:58:34,560 --> 00:58:37,240 Speaker 10: than we actually could. And it's because it's a lot 1106 00:58:37,360 --> 00:58:41,200 Speaker 10: easier to it's a lot easier to change for the 1107 00:58:41,200 --> 00:58:43,560 Speaker 10: worse than change for the better. I mean the amount 1108 00:58:43,600 --> 00:58:46,040 Speaker 10: of Yeah, trying to reverse a lot of this stuff 1109 00:58:46,080 --> 00:58:48,439 Speaker 10: takes a while, and I think that they just don't 1110 00:58:48,480 --> 00:58:52,320 Speaker 10: really understand that. And then you take just bad PR moves, 1111 00:58:52,400 --> 00:58:56,000 Speaker 10: bad decisions by the ADMIN, and it just led to 1112 00:58:56,040 --> 00:58:58,600 Speaker 10: all of this. I mean, it's not looking good. It's 1113 00:58:58,840 --> 00:58:59,560 Speaker 10: how it's looking. 1114 00:58:59,600 --> 00:59:02,800 Speaker 2: But yeah, yeah, I would say I would say I 1115 00:59:02,800 --> 00:59:06,720 Speaker 2: agree with Blake's assessment that the MAGA coalition has shrunk. 1116 00:59:06,760 --> 00:59:10,320 Speaker 2: The question is does it well? I would say MAGA 1117 00:59:10,400 --> 00:59:12,240 Speaker 2: has shrunk. Whether the question is whether or not the 1118 00:59:12,240 --> 00:59:17,200 Speaker 2: coalition when it comes to, you know, picking somebody for 1119 00:59:17,320 --> 00:59:20,080 Speaker 2: an office if that coalition has shrunk. I think what's 1120 00:59:20,120 --> 00:59:22,240 Speaker 2: more likely to happen with most of these people is 1121 00:59:22,240 --> 00:59:24,440 Speaker 2: they're not going to vote Democrat. They're probably just going 1122 00:59:24,480 --> 00:59:27,320 Speaker 2: to opt out. Right. We have this problem with in 1123 00:59:27,320 --> 00:59:29,680 Speaker 2: the Trump era of low propensity voters. That's the work 1124 00:59:29,840 --> 00:59:31,840 Speaker 2: that we're doing at turning Point Action is getting those 1125 00:59:31,880 --> 00:59:34,440 Speaker 2: low prop voters out becomes even harder when Trump's not 1126 00:59:34,520 --> 00:59:38,400 Speaker 2: on the bout. He remains i would say, historically popular 1127 00:59:38,640 --> 00:59:40,920 Speaker 2: with conservatives. So there's there's a lot of good and 1128 00:59:41,000 --> 00:59:43,080 Speaker 2: there's there's some headwinds. There's no there's no question. 1129 00:59:43,840 --> 00:59:43,920 Speaker 13: Uh. 1130 00:59:44,160 --> 00:59:46,480 Speaker 2: I explain this to the team the I call it 1131 00:59:46,480 --> 00:59:48,760 Speaker 2: the taxonomy of the right, and a couple of team 1132 00:59:48,760 --> 00:59:50,040 Speaker 2: members like, you got to you got to make an 1133 00:59:50,080 --> 00:59:51,520 Speaker 2: op ed. You got to write an op ed on that, 1134 00:59:51,560 --> 00:59:54,040 Speaker 2: and I probably will do that. I just keep needing 1135 00:59:54,040 --> 00:59:56,320 Speaker 2: to find time for it. But let me just briefly 1136 00:59:56,360 --> 00:59:58,919 Speaker 2: explain it to you. You've got on the one side, 1137 00:59:58,960 --> 01:00:01,280 Speaker 2: you've got the neo cons Because it's always important to 1138 01:00:01,280 --> 01:00:03,360 Speaker 2: remember that foreign policy is going to be the most 1139 01:00:03,360 --> 01:00:06,840 Speaker 2: divisive issue in the right wing coalition. Right, so the neocons. 1140 01:00:06,880 --> 01:00:09,360 Speaker 2: They'd never like Trump, but it feels like they've got 1141 01:00:09,400 --> 01:00:13,120 Speaker 2: some things that they wanted, namely in Iran, and so 1142 01:00:13,200 --> 01:00:16,160 Speaker 2: you got them. You've got the plan trusters that trust 1143 01:00:16,200 --> 01:00:18,680 Speaker 2: the planners. This would be like if the neocons like 1144 01:00:18,720 --> 01:00:21,200 Speaker 2: a Ted Cruz or a Lindsay Graham, the plan trusters 1145 01:00:21,200 --> 01:00:23,880 Speaker 2: would be like, I don't know, a Michael Knowles or 1146 01:00:24,800 --> 01:00:26,680 Speaker 2: a lot of people put turning point in this group. 1147 01:00:27,120 --> 01:00:29,120 Speaker 2: I don't think that's a fair characterization all the time, 1148 01:00:29,120 --> 01:00:32,040 Speaker 2: but that's in people's collective minds, that's what they think. 1149 01:00:32,040 --> 01:00:33,520 Speaker 2: Then you have the dissidence. This would be like a 1150 01:00:33,520 --> 01:00:36,439 Speaker 2: Matt Walsh that really wants to hold the administration's feet 1151 01:00:36,440 --> 01:00:39,120 Speaker 2: to the fire, but he's never going to vote Democrat. Right. 1152 01:00:39,440 --> 01:00:42,240 Speaker 2: Then you've got the small Libertarians. We had the redhead 1153 01:00:42,920 --> 01:00:46,200 Speaker 2: redheaded Libertarian Josie on the show, for example. These are 1154 01:00:46,240 --> 01:00:49,880 Speaker 2: people and she warns about this that will become disenchanted 1155 01:00:50,120 --> 01:00:52,680 Speaker 2: right when we saw Thomas Massey didn't win re election, 1156 01:00:52,840 --> 01:00:56,920 Speaker 2: that they could opt out. The small Libertarians could opt 1157 01:00:56,920 --> 01:00:59,120 Speaker 2: out of running. And then on the far end of 1158 01:00:59,120 --> 01:01:02,800 Speaker 2: the scale, you've got the the accelerationists. The accelerationists want 1159 01:01:02,840 --> 01:01:04,480 Speaker 2: to burn it all down. They don't want you to 1160 01:01:04,560 --> 01:01:06,960 Speaker 2: vote for They don't want you to vote for President 1161 01:01:06,960 --> 01:01:09,800 Speaker 2: Trump or anybody endorses because they want to burn the 1162 01:01:09,840 --> 01:01:12,640 Speaker 2: party down and rebuild it in their image in ideologically 1163 01:01:12,680 --> 01:01:15,280 Speaker 2: pure manner. We reject that premise. We think that's a 1164 01:01:15,400 --> 01:01:18,400 Speaker 2: terrible idea because what Charlie believed in, what we believe in, 1165 01:01:18,600 --> 01:01:22,240 Speaker 2: is reforming the coalition from within. That's why we endorse 1166 01:01:22,280 --> 01:01:24,560 Speaker 2: candidates and we work our tails off to get them elected, 1167 01:01:24,600 --> 01:01:27,800 Speaker 2: because this is why Brandon Gill exists. You know, Brandon 1168 01:01:27,800 --> 01:01:30,120 Speaker 2: Gill is an all star out of Texas that we 1169 01:01:30,160 --> 01:01:33,120 Speaker 2: would not have gotten elected a generation prior. But he 1170 01:01:33,240 --> 01:01:36,680 Speaker 2: completely gets it. He's completely on script, and he's pushing 1171 01:01:36,720 --> 01:01:38,920 Speaker 2: hard and he's very effective. So we want to reform 1172 01:01:39,280 --> 01:01:41,680 Speaker 2: the movement from within that I would say, the bad 1173 01:01:41,680 --> 01:01:43,960 Speaker 2: actors want to burn it all down, and guess what happens. 1174 01:01:44,000 --> 01:01:46,360 Speaker 2: The neo cons want to pull the plan trusters over 1175 01:01:46,400 --> 01:01:49,400 Speaker 2: to their side, and the dissonance and the accelerationists want 1176 01:01:49,440 --> 01:01:51,800 Speaker 2: to pull the small libertarians and the dissidents over to 1177 01:01:51,840 --> 01:01:54,480 Speaker 2: their side and force a wedge in the party. We've 1178 01:01:54,520 --> 01:01:57,320 Speaker 2: got to keep everybody together pushing in the same direction. 1179 01:01:57,800 --> 01:02:02,160 Speaker 2: And again the question becomes will it matter come election day? 1180 01:02:02,200 --> 01:02:06,040 Speaker 10: Well, I think the question will because a lot of 1181 01:02:06,080 --> 01:02:09,760 Speaker 10: people it's already broken. You're going to keep it together 1182 01:02:09,880 --> 01:02:13,080 Speaker 10: because what was kept together is already completely broken. So 1183 01:02:13,120 --> 01:02:15,080 Speaker 10: it's more so going to be about getting them back. 1184 01:02:15,240 --> 01:02:16,760 Speaker 5: It's it's going to be a real challenge. 1185 01:02:16,840 --> 01:02:20,840 Speaker 3: And I'm especially because you call them accelerationists, but I like, 1186 01:02:20,880 --> 01:02:24,520 Speaker 3: I really like Scott Grier's insane clown party formulation. For 1187 01:02:24,600 --> 01:02:26,720 Speaker 3: some of them, it can be very tough to appeal 1188 01:02:26,760 --> 01:02:30,120 Speaker 3: to those people. But let's get into our next question here. 1189 01:02:30,880 --> 01:02:34,960 Speaker 5: Uh is it? Mark? Mark? Unmute yourself and what's your question? 1190 01:02:35,360 --> 01:02:36,360 Speaker 14: Hey, guys, can you hear me? 1191 01:02:36,600 --> 01:02:36,880 Speaker 5: Yep? 1192 01:02:37,760 --> 01:02:40,000 Speaker 14: Okay, So my question is actually similar to what you 1193 01:02:40,040 --> 01:02:43,920 Speaker 14: guys are talking about right now. Every time I see 1194 01:02:44,160 --> 01:02:47,680 Speaker 14: Foon on TV or the internet, I just want to 1195 01:02:47,680 --> 01:02:48,480 Speaker 14: punch the guy. 1196 01:02:48,680 --> 01:02:48,880 Speaker 6: Right. 1197 01:02:48,960 --> 01:02:53,640 Speaker 14: So I'm sick of the Senate and I'm sick of 1198 01:02:53,680 --> 01:02:57,560 Speaker 14: the Rhinos. So I love Turning Point action. Every time 1199 01:02:57,560 --> 01:03:00,200 Speaker 14: you have Tyler on, I'm like, I'm a loveless to 1200 01:03:00,240 --> 01:03:03,120 Speaker 14: this guy, right because he's actually kind of what got 1201 01:03:03,200 --> 01:03:05,680 Speaker 14: me into Turning Point to begin with them. Charlie's great, 1202 01:03:06,120 --> 01:03:10,120 Speaker 14: but turning point. Action is action oriented, which is what 1203 01:03:10,200 --> 01:03:14,040 Speaker 14: I love. So Number one, do we have a plan 1204 01:03:14,680 --> 01:03:21,240 Speaker 14: to get rid of these scumbag Rhinos? And is You 1205 01:03:21,240 --> 01:03:23,200 Speaker 14: don't have to give it to me over the air, 1206 01:03:23,320 --> 01:03:27,320 Speaker 14: But I'm just curious if when you guys do your meetings, like, 1207 01:03:27,600 --> 01:03:29,440 Speaker 14: is there a plan and do you have it mapped 1208 01:03:29,440 --> 01:03:31,400 Speaker 14: out to get rid of these guys? 1209 01:03:31,640 --> 01:03:32,120 Speaker 2: Number one? 1210 01:03:32,560 --> 01:03:36,360 Speaker 14: And number two? Is there some way we can defund 1211 01:03:37,840 --> 01:03:40,480 Speaker 14: the Rhinos? And I love to be a great website 1212 01:03:40,520 --> 01:03:44,760 Speaker 14: defund the Rhinos, right because just what I think you 1213 01:03:45,120 --> 01:03:47,520 Speaker 14: guys literally were just talking about this, or Danny was 1214 01:03:47,560 --> 01:03:51,320 Speaker 14: talking about this. It's like Trump is is I feel 1215 01:03:51,360 --> 01:03:54,320 Speaker 14: like he's kind of trapped and with this war going on, 1216 01:03:55,440 --> 01:03:58,320 Speaker 14: this is this is, this is gonna It's gonna be 1217 01:03:58,360 --> 01:04:00,600 Speaker 14: a problem in the midterms and we he just simply 1218 01:04:00,600 --> 01:04:03,160 Speaker 14: can't afford to lose. And I'm so and matter of fact, 1219 01:04:03,240 --> 01:04:05,600 Speaker 14: can we get these guys to work five days a week? 1220 01:04:05,800 --> 01:04:08,400 Speaker 14: I mean, come on instead of one day week er? 1221 01:04:08,480 --> 01:04:08,680 Speaker 10: Yeah. 1222 01:04:09,200 --> 01:04:15,280 Speaker 2: Or I had the honor of a lifetime to call 1223 01:04:15,400 --> 01:04:19,080 Speaker 2: Charlie a friend. And what I remember most wasn't just 1224 01:04:19,320 --> 01:04:22,400 Speaker 2: what people saw on stage, it was what was behind 1225 01:04:22,400 --> 01:04:25,640 Speaker 2: the scenes that was an unwavering commitment to his faith, 1226 01:04:26,160 --> 01:04:29,240 Speaker 2: his love for his family, and his genuine desire to 1227 01:04:29,360 --> 01:04:33,080 Speaker 2: encourage others to live with courage and conviction. Charlie believed 1228 01:04:33,080 --> 01:04:36,520 Speaker 2: that following Christ wasn't something you compartmentalized. He didn't put 1229 01:04:36,560 --> 01:04:38,920 Speaker 2: it in a box. He lived it out loud. It 1230 01:04:39,040 --> 01:04:41,720 Speaker 2: shaped how he lived, how he served, how he treated 1231 01:04:41,720 --> 01:04:46,240 Speaker 2: people every single day. Charlie Kirk American Martyr captures that heart. 1232 01:04:46,440 --> 01:04:49,840 Speaker 2: This documentary isn't just simply about remembering Charlie. It's an 1233 01:04:49,880 --> 01:04:52,880 Speaker 2: invitation for each of us to ask what kind of 1234 01:04:52,960 --> 01:04:56,200 Speaker 2: legacy we're building and whether we're willing to stand firm 1235 01:04:56,200 --> 01:04:58,880 Speaker 2: in our own faith when it's tested. I hope that 1236 01:04:58,960 --> 01:05:01,800 Speaker 2: you'll watch it with your family and have those conversations together. 1237 01:05:02,320 --> 01:05:05,760 Speaker 2: Go to angel dot com slash kirk. That's angel dot 1238 01:05:05,800 --> 01:05:09,120 Speaker 2: com slash kirk, become an Angel Guild member, watch Charlie 1239 01:05:09,160 --> 01:05:12,520 Speaker 2: Kirk American Martyr and help bring more stories of faith, 1240 01:05:12,600 --> 01:05:18,920 Speaker 2: courage and conviction to audiences around the world. Can we 1241 01:05:18,960 --> 01:05:22,040 Speaker 2: get rid of the rhinos? And the short answer to that, 1242 01:05:22,040 --> 01:05:23,920 Speaker 2: and I know Blake's got a lot of thoughts here 1243 01:05:24,200 --> 01:05:27,440 Speaker 2: is we are doing it, and it's it's happening more 1244 01:05:27,520 --> 01:05:30,920 Speaker 2: slowly than anybody would like, of course, but it's happening 1245 01:05:30,920 --> 01:05:34,120 Speaker 2: through retirements, it's happening through in the case of Lindsey Graham, 1246 01:05:34,120 --> 01:05:36,760 Speaker 2: I hate to say it, through his death. And then 1247 01:05:36,800 --> 01:05:39,560 Speaker 2: it's happening through primaries the way it's supposed to happen, 1248 01:05:39,680 --> 01:05:41,880 Speaker 2: more than it's happened in a long time. As a 1249 01:05:41,880 --> 01:05:45,320 Speaker 2: matter of fact, the party is substantially more conservative than 1250 01:05:45,360 --> 01:05:47,120 Speaker 2: it was just five years ago, than it was ten 1251 01:05:47,200 --> 01:05:49,360 Speaker 2: years ago. And that's a lot thanks to the work 1252 01:05:49,360 --> 01:05:51,480 Speaker 2: that we're doing. A turning point action. But Blake, why 1253 01:05:51,520 --> 01:05:54,560 Speaker 2: don't you expound on that because it's an important point. Yeah, 1254 01:05:55,000 --> 01:05:56,000 Speaker 2: it gives hope. 1255 01:05:56,120 --> 01:05:58,440 Speaker 3: Also one percent, and he mentioned what can we do 1256 01:05:58,560 --> 01:06:00,160 Speaker 3: to get rid of them? And the struggle What the 1257 01:06:00,200 --> 01:06:02,720 Speaker 3: Senate always is they have six year terms and incumbents 1258 01:06:02,720 --> 01:06:05,320 Speaker 3: are powerful and they can just stick around a very 1259 01:06:05,360 --> 01:06:09,720 Speaker 3: long time. And we say the House has improved one 1260 01:06:09,720 --> 01:06:12,240 Speaker 3: election at a time, and the Senate improves one election 1261 01:06:12,320 --> 01:06:13,760 Speaker 3: at a time, but it takes a while. We just 1262 01:06:13,800 --> 01:06:16,640 Speaker 3: had Watt leon who's running in North Carolina. He's going 1263 01:06:16,640 --> 01:06:19,640 Speaker 3: to be if he's wins, he'll replace Tom Tillis, who's 1264 01:06:19,640 --> 01:06:23,400 Speaker 3: been a very frustrating Republican on issue after issue, and 1265 01:06:23,480 --> 01:06:26,640 Speaker 3: on a bunch of key nominations and votes and issues. 1266 01:06:26,640 --> 01:06:29,080 Speaker 3: He just hasn't been there. And Wattley will be way 1267 01:06:29,120 --> 01:06:31,040 Speaker 3: better if we're able to get him over the finish line. 1268 01:06:31,400 --> 01:06:33,640 Speaker 3: And if we're able to get Paxton over the finish line, 1269 01:06:33,680 --> 01:06:36,440 Speaker 3: he'll be better on the issues than John Cornyn, repeat 1270 01:06:36,480 --> 01:06:37,120 Speaker 3: over and over. 1271 01:06:37,200 --> 01:06:41,680 Speaker 5: We've got Lindsey Graham, he's died. There's going to be 1272 01:06:41,720 --> 01:06:46,040 Speaker 5: a primary there. They're running, his sister is running. 1273 01:06:46,360 --> 01:06:50,160 Speaker 3: I believe we have we endorsed anyone in that race, 1274 01:06:51,000 --> 01:06:51,680 Speaker 3: Ralph Northam. 1275 01:06:51,760 --> 01:06:53,800 Speaker 5: So we'll see who's able to pull ahead. But if 1276 01:06:53,880 --> 01:06:55,600 Speaker 5: he's able to win, we think he'll be better than 1277 01:06:55,600 --> 01:06:58,000 Speaker 5: Lindsay Graham was. Maybe probably even Lindsay Graham's sister will 1278 01:06:58,040 --> 01:07:01,360 Speaker 5: be better than he was. And so we get progress 1279 01:07:01,440 --> 01:07:01,680 Speaker 5: that one. 1280 01:07:01,720 --> 01:07:04,040 Speaker 2: I don't think anybody will love war as much as Lindsay. 1281 01:07:04,280 --> 01:07:06,360 Speaker 5: I don't think it's possible. I don't think it's possible 1282 01:07:06,400 --> 01:07:08,680 Speaker 5: that man loved a conflict, and so we are going 1283 01:07:08,720 --> 01:07:09,040 Speaker 5: to make. 1284 01:07:08,960 --> 01:07:12,800 Speaker 3: Progress in that way, making them work more. Oh, man, 1285 01:07:12,840 --> 01:07:15,000 Speaker 3: if we could figure out that one. I know Charlie 1286 01:07:15,040 --> 01:07:16,880 Speaker 3: was always calling for them to do it. He once 1287 01:07:16,920 --> 01:07:19,200 Speaker 3: got fired up for the idea, what if they worked 1288 01:07:19,240 --> 01:07:19,760 Speaker 3: over we. 1289 01:07:19,840 --> 01:07:20,800 Speaker 5: Have their Senate schedule. 1290 01:07:20,840 --> 01:07:23,040 Speaker 3: We could throw yeah, throw up their schedule if you're 1291 01:07:23,080 --> 01:07:26,080 Speaker 3: able to see it any date in red. Oh man, 1292 01:07:26,280 --> 01:07:28,160 Speaker 3: you all have to zoom into that one a little bit, guys, 1293 01:07:28,160 --> 01:07:30,200 Speaker 3: But any if you look at it, like the entire 1294 01:07:30,240 --> 01:07:33,400 Speaker 3: month of August is read, there's a week. 1295 01:07:33,280 --> 01:07:37,760 Speaker 10: From August eighth until September fourteenth, they are off for 1296 01:07:38,280 --> 01:07:40,040 Speaker 10: one month and one week straight. 1297 01:07:40,160 --> 01:07:42,880 Speaker 3: Now, obviously a lot of this is they're all off fundraising. 1298 01:07:42,920 --> 01:07:46,320 Speaker 3: They're endlessly fundraising. But the message we try to get 1299 01:07:46,320 --> 01:07:48,880 Speaker 3: through to them, which is very difficult, is to point 1300 01:07:48,920 --> 01:07:52,360 Speaker 3: out that nothing would win them votes faster than to 1301 01:07:52,480 --> 01:07:55,520 Speaker 3: just have the perception that they're actually working and achieving 1302 01:07:55,560 --> 01:07:58,360 Speaker 3: and doing things. We've had a ten percent approval rating 1303 01:07:58,400 --> 01:08:00,560 Speaker 3: of Congress for the last two twenty years. 1304 01:08:00,600 --> 01:08:02,080 Speaker 5: Basically they've never recovered. 1305 01:08:02,440 --> 01:08:04,439 Speaker 3: But in the fifties and sixties, Congress had a pretty 1306 01:08:04,480 --> 01:08:07,040 Speaker 3: high approval rating. Like as an institution, people thought Congress 1307 01:08:07,280 --> 01:08:09,720 Speaker 3: was great and when they were doing things, And I 1308 01:08:09,720 --> 01:08:11,600 Speaker 3: think the way you can do that is to actually 1309 01:08:11,600 --> 01:08:14,480 Speaker 3: do things. I love the idea, what if instead of 1310 01:08:14,520 --> 01:08:18,719 Speaker 3: this long August recess, Senator Thune announced we're buckling down 1311 01:08:18,800 --> 01:08:22,240 Speaker 3: and we're making sure there's no vacant judicial offices, no 1312 01:08:22,320 --> 01:08:26,879 Speaker 3: vacant ambassadors, no vacant lower things. We're confirming everyone President 1313 01:08:26,880 --> 01:08:28,760 Speaker 3: Trump has sent to us. If they were doing that, 1314 01:08:29,160 --> 01:08:30,240 Speaker 3: MAGA would be fired up. 1315 01:08:31,720 --> 01:08:36,439 Speaker 2: It's unacceptable that Thune is allowing the August recess to happen. 1316 01:08:36,560 --> 01:08:40,040 Speaker 2: And I'll explain why. Because midterms, we are looking at 1317 01:08:40,040 --> 01:08:42,719 Speaker 2: a very real possibility where Thune is no longer leader 1318 01:08:42,720 --> 01:08:45,960 Speaker 2: of the Senate. This time is short, we are in 1319 01:08:46,000 --> 01:08:48,920 Speaker 2: a race against the clock, and he's going to take 1320 01:08:48,920 --> 01:08:52,639 Speaker 2: a whole month off. Completely unacceptable. He should have everybody 1321 01:08:52,640 --> 01:08:55,439 Speaker 2: in there to Blake's point and get all of Trump's 1322 01:08:55,479 --> 01:08:58,840 Speaker 2: confirmations over the finish line. And then secondly, he should 1323 01:08:58,880 --> 01:09:01,400 Speaker 2: be doing the talking philibus and I don't care if 1324 01:09:01,439 --> 01:09:03,000 Speaker 2: we don't have the votes for Save America Act. You 1325 01:09:03,000 --> 01:09:07,200 Speaker 2: should just make everybody put their name down yeay or nay. 1326 01:09:07,760 --> 01:09:09,840 Speaker 2: We want to know, and then you ask if we 1327 01:09:09,880 --> 01:09:11,720 Speaker 2: have a map of this. We absolutely have a map, 1328 01:09:11,720 --> 01:09:14,280 Speaker 2: and we absolutely have a plan, and most of these 1329 01:09:14,360 --> 01:09:17,000 Speaker 2: guys you can work with. Right, we're probably like three, four, five, 1330 01:09:17,160 --> 01:09:20,439 Speaker 2: maybe six votes shy on Save America Act. Those are 1331 01:09:20,439 --> 01:09:22,559 Speaker 2: gonna be first up. So put your name down on 1332 01:09:22,560 --> 01:09:25,559 Speaker 2: the list. Be known, have some courage if you're gonna 1333 01:09:25,560 --> 01:09:27,880 Speaker 2: block something as popular as a Save America Act. 1334 01:09:28,080 --> 01:09:29,439 Speaker 5: More votes is good. 1335 01:09:29,479 --> 01:09:32,559 Speaker 3: Make everyone go on the record about specific things because 1336 01:09:32,600 --> 01:09:35,719 Speaker 3: they love the fog of working on these omnibus bills 1337 01:09:35,760 --> 01:09:37,519 Speaker 3: that are hard to get. We have one more question 1338 01:09:37,640 --> 01:09:39,599 Speaker 3: we want to hit. We have three minutes here, Rain, 1339 01:09:40,120 --> 01:09:41,599 Speaker 3: unmute yourself and what's your question? 1340 01:09:42,320 --> 01:09:42,559 Speaker 6: Hell? 1341 01:09:43,320 --> 01:09:45,120 Speaker 5: Yeah, oh, Rain, can you hear it? Yeah, we can 1342 01:09:45,160 --> 01:09:46,040 Speaker 5: hear you. What's your question? 1343 01:09:46,240 --> 01:09:47,080 Speaker 14: Okay? 1344 01:09:47,240 --> 01:09:51,200 Speaker 13: So, oh wow, I've been listening to the show and 1345 01:09:51,240 --> 01:09:53,280 Speaker 13: it's oh god, I got so much. 1346 01:09:53,080 --> 01:09:53,600 Speaker 2: A comment on. 1347 01:09:53,640 --> 01:09:57,800 Speaker 13: But I'm gonna stick with my question. So, although I 1348 01:09:57,840 --> 01:10:01,320 Speaker 13: did not grow up in New Orleans, I spent most 1349 01:10:01,360 --> 01:10:06,800 Speaker 13: of my adult life there. And the general consensus from 1350 01:10:06,880 --> 01:10:11,800 Speaker 13: people that I personally personally know and trust who went 1351 01:10:11,840 --> 01:10:15,960 Speaker 13: to grade school and high school and college and have 1352 01:10:16,120 --> 01:10:20,280 Speaker 13: known Amy Comy Barrett through her professional life up until 1353 01:10:20,439 --> 01:10:25,160 Speaker 13: when she has ended up, you know, in the Supreme Court, 1354 01:10:25,720 --> 01:10:31,240 Speaker 13: the personal general consensus is that she didn't about face 1355 01:10:31,600 --> 01:10:37,639 Speaker 13: because of the threats made against her, her adopted children's lives, 1356 01:10:38,960 --> 01:10:43,320 Speaker 13: and I trust these people that know her, and I 1357 01:10:43,439 --> 01:10:47,320 Speaker 13: wonder what is there, if anything, can anything be done 1358 01:10:47,920 --> 01:10:51,759 Speaker 13: to remove a Supreme Court justice. I mean, and based 1359 01:10:51,800 --> 01:10:54,760 Speaker 13: on all the testimony that I know we all saw 1360 01:10:54,840 --> 01:10:57,679 Speaker 13: from last week when she was asking for extra protection, 1361 01:10:58,760 --> 01:11:02,400 Speaker 13: what can be done to remove somebody from the Supreme 1362 01:11:02,479 --> 01:11:06,439 Speaker 13: Court if they don't feel confident enough to do their 1363 01:11:06,560 --> 01:11:08,880 Speaker 13: job and they're openly professing. 1364 01:11:08,400 --> 01:11:10,880 Speaker 5: It very briefly, very briefly. 1365 01:11:10,880 --> 01:11:13,360 Speaker 3: Are you saying that they knew her in high school 1366 01:11:13,400 --> 01:11:15,960 Speaker 3: and college and that she was more conservative then so 1367 01:11:16,000 --> 01:11:17,400 Speaker 3: she's taking different views? 1368 01:11:17,560 --> 01:11:23,479 Speaker 13: No, yes, absolutely, that's very interesting, right, And people look 1369 01:11:23,600 --> 01:11:27,360 Speaker 13: and on the record, people that know her now have 1370 01:11:27,520 --> 01:11:31,439 Speaker 13: told me that this her about face is one hundred 1371 01:11:31,479 --> 01:11:34,879 Speaker 13: percent about the threats that have been made against her 1372 01:11:35,120 --> 01:11:40,719 Speaker 13: Haitian children. And so I'm wondering, why is she able 1373 01:11:40,760 --> 01:11:45,960 Speaker 13: to continue on the highest court in the land. If 1374 01:11:46,000 --> 01:11:50,840 Speaker 13: she has been inability to go through with her job, well, 1375 01:11:51,520 --> 01:11:54,360 Speaker 13: she doesn't deserve the spot there any longer. And look, 1376 01:11:54,640 --> 01:11:59,920 Speaker 13: I'm not invalidating the threats made against her, but what 1377 01:12:00,000 --> 01:12:02,000 Speaker 13: what I'm saying is, if you feel that much of 1378 01:12:02,040 --> 01:12:06,440 Speaker 13: a threat against your life and it is compromising your 1379 01:12:07,160 --> 01:12:12,000 Speaker 13: your decisions, you you should step down. 1380 01:12:12,960 --> 01:12:16,160 Speaker 3: Uh So, first of all, the only way you can 1381 01:12:16,160 --> 01:12:18,439 Speaker 3: remove a Supreme Court justice is you need a two third. 1382 01:12:18,479 --> 01:12:20,640 Speaker 3: You need to impeach and remove the same way you 1383 01:12:20,680 --> 01:12:22,000 Speaker 3: would a president. 1384 01:12:22,040 --> 01:12:22,920 Speaker 5: You need two thirds. 1385 01:12:23,000 --> 01:12:25,800 Speaker 3: I don't think, and I don't know if she it's 1386 01:12:25,840 --> 01:12:28,800 Speaker 3: supposed to be for misconduct, and if she's just afraid, 1387 01:12:29,280 --> 01:12:31,840 Speaker 3: that's not probably going to muster that many votes. Even 1388 01:12:31,880 --> 01:12:35,960 Speaker 3: if we're very disappointed, I think we could maybe frankly 1389 01:12:36,280 --> 01:12:38,760 Speaker 3: pass more security for Supreme Court justices. We should do 1390 01:12:38,800 --> 01:12:41,439 Speaker 3: that anyway, because it's just too obvious. If you're a 1391 01:12:41,479 --> 01:12:45,160 Speaker 3: left wing lunatic, by far, the biggest way you can 1392 01:12:45,160 --> 01:12:47,559 Speaker 3: try to change the country is just take out one 1393 01:12:47,560 --> 01:12:50,080 Speaker 3: of these Supreme Court justices. They're old, they're not as 1394 01:12:50,080 --> 01:12:52,160 Speaker 3: healthy as other people. You could one hundred percent to 1395 01:12:52,160 --> 01:12:54,400 Speaker 3: do it. We should give them more security. But yeah, 1396 01:12:55,040 --> 01:12:57,200 Speaker 3: we need bravery from people if they're going to be 1397 01:12:57,280 --> 01:13:00,320 Speaker 3: cowed by left wing threats, like you should be in 1398 01:13:00,360 --> 01:13:03,360 Speaker 3: these positions because we need brave people to stand against 1399 01:13:03,640 --> 01:13:04,439 Speaker 3: these evil doers. 1400 01:13:04,439 --> 01:13:07,360 Speaker 5: And it's very disappointing. She really did just do her 1401 01:13:07,720 --> 01:13:08,760 Speaker 5: doing about for. 1402 01:13:09,080 --> 01:13:13,400 Speaker 2: It was Samuel Chase was impeached, but the Senate acquitted 1403 01:13:13,439 --> 01:13:15,360 Speaker 2: him so they couldn't get two thirds, and he served 1404 01:13:15,400 --> 01:13:16,760 Speaker 2: until his death until eighteen eleven. 1405 01:13:16,880 --> 01:13:18,240 Speaker 5: Yeah, it would be very hard to do that, but 1406 01:13:18,280 --> 01:13:19,280 Speaker 5: thank you for that question. 1407 01:13:19,640 --> 01:13:20,160 Speaker 2: Very very hard. 1408 01:13:20,360 --> 01:13:26,920 Speaker 5: We'll see you guys all on Monday. For more on 1409 01:13:27,000 --> 01:13:29,120 Speaker 5: many of these stories and news you can trust, go 1410 01:13:29,160 --> 01:13:30,439 Speaker 5: to Charliekirk dot com