1 00:00:08,440 --> 00:00:13,080 Speaker 1: The Senator with the smallest, thinnest pencil neck anyone has 2 00:00:13,160 --> 00:00:16,880 Speaker 1: ever seen, is at the forefront of a new controversy. 3 00:00:16,960 --> 00:00:21,600 Speaker 1: Also chat GPT marriage therapy. Is that a good idea? 4 00:00:21,600 --> 00:00:24,599 Speaker 1: I'm not entirely sure, and you're gonna hate me, but 5 00:00:24,720 --> 00:00:27,360 Speaker 1: just just trust me on this full team coverage on 6 00:00:27,400 --> 00:00:29,800 Speaker 1: the new Taylor Swift album, all that more coming up 7 00:00:29,840 --> 00:00:31,440 Speaker 1: on this episode at Turning Points Tonight. My name is 8 00:00:31,480 --> 00:00:33,440 Speaker 1: Joe Bob. Thanks so much for tuning in together, we 9 00:00:33,479 --> 00:00:36,400 Speaker 1: are charting the course of America's cultural comeback. This is 10 00:00:36,520 --> 00:00:39,360 Speaker 1: Turning Point Tonight. Now you can also email the show. 11 00:00:39,360 --> 00:00:41,200 Speaker 1: I feel like I should remind people at the front 12 00:00:41,280 --> 00:00:43,400 Speaker 1: end of the show TPT at tpusa dot com. We 13 00:00:43,440 --> 00:00:46,120 Speaker 1: love seeing all your emails. We love getting emails. Whether 14 00:00:46,159 --> 00:00:48,480 Speaker 1: you're right or whether you agree with us, or whether 15 00:00:48,560 --> 00:00:51,760 Speaker 1: you're wrong. Either email is totally fine. Send us some memes, 16 00:00:51,760 --> 00:00:53,840 Speaker 1: some funny videos, and chances are we could play it 17 00:00:53,880 --> 00:00:56,080 Speaker 1: in the fourth segment of the show. But before we 18 00:00:56,120 --> 00:00:58,560 Speaker 1: get to all of those stories and our fantastic panel, 19 00:00:59,080 --> 00:01:02,160 Speaker 1: I've got to talk about this city in Los Angeles 20 00:01:02,160 --> 00:01:07,600 Speaker 1: County called Huntington Park, which is the most illegal city 21 00:01:07,880 --> 00:01:10,479 Speaker 1: in the state. Or at least to my knowledge, according 22 00:01:10,520 --> 00:01:14,160 Speaker 1: to them themselves, the city put out a bunch of 23 00:01:14,200 --> 00:01:17,319 Speaker 1: statements from their city council members and from their PR department, 24 00:01:17,400 --> 00:01:23,080 Speaker 1: their communications that gave some statistics that I thought were unbelievable. Literally, 25 00:01:23,160 --> 00:01:25,399 Speaker 1: I'm not even sure if I believe it. First of all, 26 00:01:25,440 --> 00:01:28,399 Speaker 1: they're claiming since the ice rates, it has turned into 27 00:01:28,440 --> 00:01:31,640 Speaker 1: a ghost town everyone is scared to go outside to 28 00:01:31,680 --> 00:01:34,080 Speaker 1: which generally I kind of think, is that really the 29 00:01:34,160 --> 00:01:36,679 Speaker 1: case or you just trying to play up the drama. 30 00:01:36,760 --> 00:01:39,959 Speaker 1: But according to people at the city, get this number, 31 00:01:40,360 --> 00:01:45,400 Speaker 1: as many as forty five percent of the residents are undocumented. 32 00:01:45,400 --> 00:01:47,640 Speaker 1: I like to say illegal, because that's the legal term there. 33 00:01:48,320 --> 00:01:51,200 Speaker 1: Forty five percent, almost half of the people that live 34 00:01:51,320 --> 00:01:55,200 Speaker 1: in this city are allegedly undocumented illegal aliens in this 35 00:01:55,280 --> 00:01:59,200 Speaker 1: country illegally. Now there is more to this. There's kind 36 00:01:59,200 --> 00:02:02,320 Speaker 1: of nuances here. But I think the funniest part about 37 00:02:02,320 --> 00:02:06,559 Speaker 1: this is the irony that happened earlier this year. Get this, 38 00:02:06,560 --> 00:02:09,800 Speaker 1: this is almost too much. A city council and by 39 00:02:09,840 --> 00:02:13,200 Speaker 1: the name of Esmarel La Castillo was kicked off of 40 00:02:13,240 --> 00:02:17,160 Speaker 1: the city council of Huntington Park because she was there illegally. 41 00:02:17,360 --> 00:02:19,240 Speaker 1: Not because she was in the country illegally. That's not 42 00:02:19,240 --> 00:02:22,200 Speaker 1: what I'm saying. She didn't live in the city. So 43 00:02:22,919 --> 00:02:25,320 Speaker 1: the city that has a city council woman that doesn't 44 00:02:25,320 --> 00:02:28,080 Speaker 1: even live in the city that she supposedly represents and 45 00:02:28,200 --> 00:02:30,480 Speaker 1: was kicked off of the city council because of that, 46 00:02:31,000 --> 00:02:34,680 Speaker 1: also has an extraordinarily high percentage of people that are 47 00:02:34,760 --> 00:02:38,359 Speaker 1: in the city illegally. That just that kind of tracks 48 00:02:38,360 --> 00:02:40,919 Speaker 1: with me. The irony is dripping and it's all too much. 49 00:02:41,280 --> 00:02:43,640 Speaker 1: Here the comments on that and so much more is 50 00:02:43,639 --> 00:02:47,120 Speaker 1: our fantastic panel. Elizabeth barko'hanna is a Central Committee member 51 00:02:47,160 --> 00:02:50,320 Speaker 1: on the La Republican Party, and Tiffany Marie Brandon is 52 00:02:50,320 --> 00:02:52,280 Speaker 1: a political conservative commentary Guys, thank you so much for 53 00:02:52,320 --> 00:02:56,679 Speaker 1: joining us. Really appreciate you taking the time. Tiffany, I 54 00:02:56,720 --> 00:02:59,000 Speaker 1: want to start with you here. I was shocked by 55 00:02:59,040 --> 00:03:01,920 Speaker 1: this because I started reading the story and it kind 56 00:03:01,960 --> 00:03:03,680 Speaker 1: of talks about, well, it's a ghost town, people are 57 00:03:03,680 --> 00:03:06,440 Speaker 1: afraid to leave, and then I saw the statistic of 58 00:03:06,680 --> 00:03:09,240 Speaker 1: forty five percent of people, according to the cities, are 59 00:03:09,240 --> 00:03:13,680 Speaker 1: in that city but also in the country illegally. Is 60 00:03:13,680 --> 00:03:16,280 Speaker 1: there any reason why Ice wouldn't just set up an 61 00:03:16,480 --> 00:03:18,800 Speaker 1: HQ there in that city. It just take care of 62 00:03:18,800 --> 00:03:19,440 Speaker 1: that problem. 63 00:03:19,880 --> 00:03:22,160 Speaker 2: Honestly, I'm like, why didn't we know this sooner? 64 00:03:22,240 --> 00:03:23,160 Speaker 3: We would have made it. 65 00:03:23,480 --> 00:03:24,799 Speaker 2: You know, we could have made. 66 00:03:24,680 --> 00:03:26,520 Speaker 4: A hug, we could have built a building, we would 67 00:03:26,560 --> 00:03:28,799 Speaker 4: have gotten people in there. And what's crazy is that 68 00:03:28,960 --> 00:03:32,400 Speaker 4: on July seventh, they passed a vote unanimous five to 69 00:03:32,480 --> 00:03:36,480 Speaker 4: zero vote to make this a sanctuary city officially. And 70 00:03:36,520 --> 00:03:39,240 Speaker 4: what is you know what's bizarre to me. You know, 71 00:03:39,320 --> 00:03:41,040 Speaker 4: you mentioned the fact that one of their city council 72 00:03:41,360 --> 00:03:44,640 Speaker 4: women was there illegally. They have Democrats have no problems 73 00:03:44,680 --> 00:03:48,280 Speaker 4: obeying laws when it you know, benefits them and helps them. 74 00:03:48,720 --> 00:03:51,080 Speaker 4: But what this really also points out to me is 75 00:03:52,040 --> 00:03:54,920 Speaker 4: just complete lack of understanding of what's going on in 76 00:03:54,920 --> 00:03:55,360 Speaker 4: their state. 77 00:03:55,440 --> 00:03:58,200 Speaker 2: You know, you look at Orange County. Orange County right now. 78 00:03:58,080 --> 00:04:01,800 Speaker 4: Has over seven thousand homes that are American citizens for 79 00:04:01,840 --> 00:04:04,200 Speaker 4: the most part, and in the last two years, we've 80 00:04:04,240 --> 00:04:07,120 Speaker 4: seen a fifty percent increase in deaths of homeless people 81 00:04:07,320 --> 00:04:11,040 Speaker 4: due to fentanyl poisoning and fentanyl overdosing. So when they're 82 00:04:11,080 --> 00:04:14,160 Speaker 4: sitting there pumping their you know, sanctuary is setting money 83 00:04:14,200 --> 00:04:17,080 Speaker 4: into these illegal immigrants and protecting them at all costs 84 00:04:17,160 --> 00:04:20,839 Speaker 4: unless unless it goes against their bottom line. They're really 85 00:04:20,880 --> 00:04:23,720 Speaker 4: neglecting their own citizens that they're supposed to be representing, 86 00:04:23,800 --> 00:04:25,800 Speaker 4: and you know, the entire county. 87 00:04:26,240 --> 00:04:27,960 Speaker 1: Yeah, it really is. It's unfair to the people that 88 00:04:28,000 --> 00:04:30,800 Speaker 1: are here legally, or it's really unfair that came to 89 00:04:30,880 --> 00:04:34,280 Speaker 1: this country through the correct process. Elizabeth, this is in 90 00:04:34,320 --> 00:04:37,440 Speaker 1: your backyard. I think the the county party that you 91 00:04:37,720 --> 00:04:41,240 Speaker 1: help oversee has this. This is their jurisdiction. Obviously you 92 00:04:41,279 --> 00:04:43,680 Speaker 1: don't have any sort of power necessarily, but do you 93 00:04:43,760 --> 00:04:47,440 Speaker 1: think that this sort of outrageous statistic can kind of 94 00:04:47,520 --> 00:04:52,000 Speaker 1: help sway the conversation back to sanity in your mind? 95 00:04:53,400 --> 00:04:57,440 Speaker 5: Well, I mean, forty five percent of a whole city, 96 00:04:57,920 --> 00:05:02,440 Speaker 5: you know, admitting that they are illegal is just an 97 00:05:02,520 --> 00:05:07,400 Speaker 5: admission of the problem here in California. And keep in mind, 98 00:05:08,080 --> 00:05:10,880 Speaker 5: all forty five percent of those people in that city 99 00:05:10,960 --> 00:05:15,719 Speaker 5: were counted in the census that counts towards you know, 100 00:05:15,839 --> 00:05:21,000 Speaker 5: house representation of the congressman in that that covers that district. 101 00:05:21,839 --> 00:05:25,200 Speaker 5: So I mean, to me, this is basically like waving 102 00:05:25,240 --> 00:05:28,680 Speaker 5: a flat like, come get us, you know where we're 103 00:05:28,720 --> 00:05:32,720 Speaker 5: all here, and you know, they say that it's it's 104 00:05:32,760 --> 00:05:33,560 Speaker 5: a ghost town. 105 00:05:33,680 --> 00:05:36,400 Speaker 6: I mean, I think that's a joke if you're not 106 00:05:36,440 --> 00:05:37,280 Speaker 6: supposed to be here. 107 00:05:37,320 --> 00:05:40,080 Speaker 5: And also it's a reflection not only this, but what 108 00:05:40,120 --> 00:05:44,400 Speaker 5: you mentioned about the city councilman. You know, liberals believe 109 00:05:44,560 --> 00:05:49,880 Speaker 5: in a moral relativism. They don't believe in firm right 110 00:05:49,920 --> 00:05:53,479 Speaker 5: and wrong. They believe that if that the ends will 111 00:05:53,600 --> 00:05:58,360 Speaker 5: justify the means, and so you know, the logical extension 112 00:05:58,400 --> 00:06:02,040 Speaker 5: of that is they will follow the laws. 113 00:06:01,839 --> 00:06:04,679 Speaker 6: That they think are are. 114 00:06:04,760 --> 00:06:09,400 Speaker 5: Right and just and further their interests and their goals, 115 00:06:09,960 --> 00:06:13,640 Speaker 5: but not the ones that don't. And so they are 116 00:06:13,920 --> 00:06:17,279 Speaker 5: you know, the epitome of the antithesis of a law 117 00:06:17,279 --> 00:06:18,280 Speaker 5: and order party. 118 00:06:19,040 --> 00:06:22,360 Speaker 1: Yeah, that is a That is a great point about 119 00:06:22,360 --> 00:06:24,960 Speaker 1: the census. Yeah, all of those people get counted. I 120 00:06:25,000 --> 00:06:28,680 Speaker 1: wonder why you know, conservatives want a centis done sooner 121 00:06:28,720 --> 00:06:31,240 Speaker 1: than later to not count all of those people. That 122 00:06:31,279 --> 00:06:33,640 Speaker 1: is a that is a great point. Speaking of la 123 00:06:33,920 --> 00:06:37,240 Speaker 1: a former congressman who has I've been told reportedly the 124 00:06:37,360 --> 00:06:41,000 Speaker 1: smallest thinnest neck anybody has ever seen. According to the 125 00:06:41,040 --> 00:06:45,080 Speaker 1: current President of the United States, uh, then Congressman Adam Schiff, 126 00:06:45,160 --> 00:06:48,200 Speaker 1: a whistleblower now is saying that, hey, during that whole 127 00:06:48,320 --> 00:06:51,080 Speaker 1: Russia Gate thing, that whole thing where he got on 128 00:06:51,160 --> 00:06:53,520 Speaker 1: TV all the time said all the evidence, I've seen 129 00:06:53,560 --> 00:06:56,400 Speaker 1: the evidence with my own eyes. It's in plain sight. Well, 130 00:06:56,440 --> 00:07:01,280 Speaker 1: apparently he also okayed some classified in from being released 131 00:07:01,320 --> 00:07:06,400 Speaker 1: in order to discredit President Trump. Obviously politically motivated. Tiffany, 132 00:07:06,720 --> 00:07:10,120 Speaker 1: You know the saddest part about this is it's it's 133 00:07:10,240 --> 00:07:13,720 Speaker 1: kind of difficult for me to be shocked here. You know, 134 00:07:13,840 --> 00:07:16,120 Speaker 1: a question that comes up all the time. Is this 135 00:07:16,240 --> 00:07:18,320 Speaker 1: going to make a dent if it ends up being 136 00:07:18,400 --> 00:07:20,560 Speaker 1: as bad of a situation as it looks at the 137 00:07:20,560 --> 00:07:21,280 Speaker 1: forefront of it. 138 00:07:22,320 --> 00:07:26,240 Speaker 4: Yeah, Adam Schiff is a as Trump called him multiple times, 139 00:07:26,360 --> 00:07:30,880 Speaker 4: is like twenty eighteen, an evil sick man and no 140 00:07:31,040 --> 00:07:33,400 Speaker 4: he I mean the things that President Trump has called 141 00:07:33,440 --> 00:07:37,080 Speaker 4: this man makes me laugh, like to know when. But 142 00:07:37,320 --> 00:07:42,760 Speaker 4: he really is a perfect example of political activism against 143 00:07:43,080 --> 00:07:47,080 Speaker 4: a sitting president that is administrative state, deep state stuff, 144 00:07:47,560 --> 00:07:50,240 Speaker 4: and it goes so far. I mean, let's not forget 145 00:07:50,320 --> 00:07:55,040 Speaker 4: the fact that this is a man who was pardoned preemptively. 146 00:07:54,760 --> 00:07:56,400 Speaker 7: By an auto pen. 147 00:07:56,640 --> 00:07:59,640 Speaker 4: Okay, he's an auto pen pardon resiment. Like the guy 148 00:08:00,160 --> 00:08:03,320 Speaker 4: everyone knew what he was doing. Everyone knew that he 149 00:08:03,720 --> 00:08:05,680 Speaker 4: was out to get President Trump no matter what. 150 00:08:05,800 --> 00:08:07,920 Speaker 2: Again, this is to less this appoint early. This is 151 00:08:07,920 --> 00:08:08,880 Speaker 2: a lack of integrity. 152 00:08:09,120 --> 00:08:12,240 Speaker 4: The Democratic Party has a massive integrity issue because they 153 00:08:12,240 --> 00:08:13,840 Speaker 4: do not believe in virtue. 154 00:08:14,200 --> 00:08:15,720 Speaker 6: They do not believe. 155 00:08:15,360 --> 00:08:16,440 Speaker 2: In any right or wrong. 156 00:08:16,560 --> 00:08:20,240 Speaker 4: It is to you, no matter what the situation, they 157 00:08:20,280 --> 00:08:22,360 Speaker 4: will do whatever it takes to win because they care 158 00:08:22,400 --> 00:08:26,160 Speaker 4: about power. And Adam Schiff is a power hungry man 159 00:08:26,200 --> 00:08:29,120 Speaker 4: with too much power, who should never be holding any 160 00:08:29,200 --> 00:08:31,200 Speaker 4: kind of elected office. He should never be in any 161 00:08:31,200 --> 00:08:34,480 Speaker 4: position to have any classified information. He's a danger and 162 00:08:34,520 --> 00:08:36,800 Speaker 4: he's a perfect example of what America should not be 163 00:08:36,880 --> 00:08:37,840 Speaker 4: voting into office. 164 00:08:38,240 --> 00:08:40,800 Speaker 1: The only thing I probably disagree with is you called 165 00:08:40,880 --> 00:08:43,600 Speaker 1: him a man. I'm not entirely sure that description fits. 166 00:08:44,360 --> 00:08:50,280 Speaker 1: Elizabeth the whistleblower who was apparently supposedly a lefty said 167 00:08:50,320 --> 00:08:54,160 Speaker 1: that he actually submitted this behavior to the FBI in 168 00:08:54,200 --> 00:08:59,440 Speaker 1: twenty seventeen. Why didn't anything happen then? And do you 169 00:08:59,520 --> 00:09:01,040 Speaker 1: think anything will happen now? 170 00:09:03,080 --> 00:09:06,800 Speaker 5: Well, the American people are calling for blood. I mean 171 00:09:06,840 --> 00:09:10,160 Speaker 5: there needs to be arrests that come out in indictments 172 00:09:10,200 --> 00:09:14,520 Speaker 5: and you know, trials, and there needs to be accountability 173 00:09:14,720 --> 00:09:20,200 Speaker 5: that comes out of these FBI investigations and referrals to 174 00:09:20,280 --> 00:09:23,040 Speaker 5: the DJ's that's a given. 175 00:09:24,360 --> 00:09:26,559 Speaker 6: In this particular situation. 176 00:09:27,480 --> 00:09:30,800 Speaker 5: This staffer who like as you point out, is a Democrat, 177 00:09:30,920 --> 00:09:34,640 Speaker 5: but Schiff is saying, you know, he was fired for 178 00:09:35,360 --> 00:09:40,480 Speaker 5: you know, he's trying to discredit him. But he came 179 00:09:40,600 --> 00:09:45,960 Speaker 5: forward in twenty seventeen to the FBI and was interviewed. 180 00:09:46,160 --> 00:09:49,720 Speaker 5: So not only is what's going on with Adam Schiff 181 00:09:49,760 --> 00:09:54,800 Speaker 5: and this you know leak relevant, but so now it 182 00:09:54,960 --> 00:09:59,679 Speaker 5: implicates an FBI cover up at the time because it 183 00:09:59,760 --> 00:10:04,920 Speaker 5: did it come out then. And then the other thing 184 00:10:05,040 --> 00:10:07,920 Speaker 5: is so we all kind of knew that this was 185 00:10:08,360 --> 00:10:12,040 Speaker 5: bs and you know that eventually the truth is going 186 00:10:12,080 --> 00:10:15,600 Speaker 5: to come out about what was going on. This is 187 00:10:15,640 --> 00:10:20,160 Speaker 5: the first time an actual witness like whistleblower has come forward. 188 00:10:20,720 --> 00:10:23,160 Speaker 5: And what he said is that this was like an 189 00:10:23,320 --> 00:10:27,200 Speaker 5: all staff meeting, which means that there are other people 190 00:10:27,240 --> 00:10:30,920 Speaker 5: in the room who heard the same things and can 191 00:10:30,960 --> 00:10:36,080 Speaker 5: corroborate or not what he is saying. So all of 192 00:10:36,120 --> 00:10:38,880 Speaker 5: that needs to you know, all of these threats need 193 00:10:38,960 --> 00:10:42,760 Speaker 5: to be followed, and there's definitely you know, a public, 194 00:10:42,800 --> 00:10:47,120 Speaker 5: a high high public interests that needs to be followed 195 00:10:47,160 --> 00:10:49,760 Speaker 5: through by the FBI and the Department of Justice, and 196 00:10:50,800 --> 00:10:52,680 Speaker 5: I have every confidence that they will. 197 00:10:53,360 --> 00:10:56,000 Speaker 1: Yeah, well, let's hope just to just just for those 198 00:10:56,040 --> 00:10:58,520 Speaker 1: folks that are real sticklers out there, when you say 199 00:10:58,520 --> 00:11:01,400 Speaker 1: we are the American people and blood, this is metaphorical 200 00:11:01,480 --> 00:11:06,040 Speaker 1: obviously rhetorically nobody, nobody, because there's gonna be some media 201 00:11:06,120 --> 00:11:09,560 Speaker 1: matters person that clips this up. Berhart or certain to No, 202 00:11:09,800 --> 00:11:13,200 Speaker 1: we're talking about we're talking about legal justice. 203 00:11:13,240 --> 00:11:13,560 Speaker 3: And. 204 00:11:14,920 --> 00:11:16,640 Speaker 6: I have to be careful about my metaphor. 205 00:11:16,800 --> 00:11:18,480 Speaker 3: You're right, we are. 206 00:11:18,520 --> 00:11:20,240 Speaker 1: We're also gonna check in with the turning point to 207 00:11:20,320 --> 00:11:22,400 Speaker 1: White House corresponding Moica page on what the White House 208 00:11:22,440 --> 00:11:23,800 Speaker 1: is saying about this, So I'm excited to get to 209 00:11:23,840 --> 00:11:26,480 Speaker 1: that a little bit later. Guys, in a brief moment 210 00:11:26,520 --> 00:11:28,400 Speaker 1: we've got left, I want to play you this clip 211 00:11:28,840 --> 00:11:32,080 Speaker 1: coming out of Cincinnati. We've all seen, I think I 212 00:11:32,360 --> 00:11:35,640 Speaker 1: presume everybody's seen that video of this horrible beat down 213 00:11:36,240 --> 00:11:39,240 Speaker 1: that looked to be pretty racially motivated, a bunch of 214 00:11:39,840 --> 00:11:42,079 Speaker 1: looks like black people beating up on white people, and 215 00:11:42,160 --> 00:11:45,160 Speaker 1: it looked really bad, and nobody covered it. Uh, Well, 216 00:11:45,160 --> 00:11:48,640 Speaker 1: we've got some folks now trying to put the blame 217 00:11:48,960 --> 00:11:52,640 Speaker 1: back on the victims that were beaten up. We're not 218 00:11:52,640 --> 00:11:53,839 Speaker 1: gonna have a ton of time to respond, but I 219 00:11:53,840 --> 00:11:55,840 Speaker 1: did want to play this video and get brief responses 220 00:11:55,840 --> 00:11:58,400 Speaker 1: for it from you guys. Check this out. Six individuals 221 00:11:58,400 --> 00:12:01,400 Speaker 1: were charged with aggravated as all, which is a felony. 222 00:12:02,480 --> 00:12:05,640 Speaker 4: The white guy insided or or six other people to 223 00:12:05,720 --> 00:12:06,880 Speaker 4: commit a felony. 224 00:12:07,360 --> 00:12:10,520 Speaker 8: The method by which this situation has been handled raises 225 00:12:10,679 --> 00:12:14,760 Speaker 8: serious questions as to whether there's there's bias involved in 226 00:12:14,800 --> 00:12:20,000 Speaker 8: the investigation. It also brings into questions the possibility of 227 00:12:20,040 --> 00:12:24,440 Speaker 8: a lack of integrity and whether there's something else to hide. 228 00:12:25,520 --> 00:12:28,559 Speaker 1: Yeah, I'm not sure if I'm buying that, Tiffany. If 229 00:12:28,600 --> 00:12:32,920 Speaker 1: I say anything to you barring a physical threat, obviously, 230 00:12:32,960 --> 00:12:35,880 Speaker 1: if there are physical threats made, that that's a different story. 231 00:12:35,920 --> 00:12:38,160 Speaker 1: But barring a physical threat here do you get to 232 00:12:38,160 --> 00:12:40,040 Speaker 1: punch me in the face? Is that how the law works? 233 00:12:41,320 --> 00:12:44,559 Speaker 4: I don't think so. I'm pretty sure because this is 234 00:12:44,600 --> 00:12:47,559 Speaker 4: a common sense. But I'm so sick of this anti 235 00:12:47,679 --> 00:12:49,920 Speaker 4: white racism. I'm so sick of the fact that we 236 00:12:50,000 --> 00:12:53,120 Speaker 4: ignore the reality that the majority of crime is black 237 00:12:53,160 --> 00:12:55,360 Speaker 4: on black and black on white and black on Asian, 238 00:12:55,840 --> 00:12:58,520 Speaker 4: and it's a real statistical issue and mostly goes back 239 00:12:58,559 --> 00:13:01,520 Speaker 4: to Pavo's homes and community. We know that math, We 240 00:13:01,600 --> 00:13:03,600 Speaker 4: know that what's going on there, and the fact that 241 00:13:03,679 --> 00:13:05,079 Speaker 4: you know, we have to deal with this rhetoric. I 242 00:13:05,080 --> 00:13:08,880 Speaker 4: guess these poor victims that were abused and beaten is sickening. 243 00:13:09,600 --> 00:13:11,920 Speaker 1: Yeah, I mean, that's that's the whole thing, Elizabeth. I 244 00:13:12,240 --> 00:13:15,400 Speaker 1: just kind of want justice to be equally distributed, doesn't 245 00:13:15,400 --> 00:13:16,880 Speaker 1: matter what the race of the people are like. And 246 00:13:16,920 --> 00:13:19,240 Speaker 1: I don't like the fact that it's being made a 247 00:13:19,400 --> 00:13:24,640 Speaker 1: racial thing by now the other side. Any last thoughts here, Yeah. 248 00:13:24,360 --> 00:13:27,560 Speaker 5: This is the racial equivalent of she was wearing a 249 00:13:27,600 --> 00:13:28,640 Speaker 5: short skirt. 250 00:13:28,520 --> 00:13:33,600 Speaker 1: And that's that's That is great, and we're gonna end 251 00:13:33,640 --> 00:13:37,720 Speaker 1: this segment there. I love that equivalency. Elizabeth and Tiffany, 252 00:13:37,760 --> 00:13:40,920 Speaker 1: we back after the break to discuss what I think 253 00:13:41,000 --> 00:13:44,720 Speaker 1: is the most earth shattering cultural development. Taylor Swift has 254 00:13:44,760 --> 00:13:47,440 Speaker 1: a twelfth studio album, and I know you think I'm kidding, 255 00:13:47,440 --> 00:13:50,360 Speaker 1: but I do actually think there's significant cultural implications to that. 256 00:13:50,400 --> 00:13:52,200 Speaker 1: Don't go Oil'll be right back after the break here 257 00:13:52,200 --> 00:13:52,960 Speaker 1: and turning point tonight. 258 00:13:58,040 --> 00:14:02,079 Speaker 9: Gotta admire what you and able to do, not to weaponize, 259 00:14:02,160 --> 00:14:05,120 Speaker 9: but to organize on these college campuses. 260 00:14:04,760 --> 00:14:08,240 Speaker 10: At Turning Point USA. We spent thirteen years building the machine, 261 00:14:08,280 --> 00:14:11,120 Speaker 10: and last year we sought payoff. Our grassroots army is 262 00:14:11,160 --> 00:14:13,640 Speaker 10: making a real difference. Help us keep the momentum going. 263 00:14:13,840 --> 00:14:18,400 Speaker 10: Donate today and keep TPUSA strong on campuses across America. 264 00:14:18,520 --> 00:14:20,720 Speaker 11: And for a gift of any amount, you'll receive your 265 00:14:20,720 --> 00:14:24,320 Speaker 11: big Gov sucks cooler claim yours today. 266 00:14:31,080 --> 00:14:33,720 Speaker 1: Welcome back to Turning Point Tonight. We're together. We are 267 00:14:33,800 --> 00:14:36,120 Speaker 1: charting the course of America's cultural comeback. My name is 268 00:14:36,160 --> 00:14:38,600 Speaker 1: Joe Bob. Thanks so much for tuning in and staying 269 00:14:38,640 --> 00:14:41,000 Speaker 1: with us. Let's check in with Turning Points. White House courseponding, 270 00:14:41,080 --> 00:14:46,200 Speaker 1: Monica page at the White House, Monica economics big forefront 271 00:14:46,280 --> 00:14:50,280 Speaker 1: of the President's campaign in first administration. Obviously, infliction numbers 272 00:14:50,320 --> 00:14:54,200 Speaker 1: came out today. What's the White House saying regarding those numbers? 273 00:14:54,920 --> 00:14:58,000 Speaker 12: Yeah, those numbers came out cooler than predicted, Cooler than 274 00:14:58,040 --> 00:15:02,240 Speaker 12: experts they were expecting, quite frankly, at two point seven percent. 275 00:15:02,880 --> 00:15:04,840 Speaker 12: I believe they were expecting two point eight percent for 276 00:15:04,880 --> 00:15:07,560 Speaker 12: the month of July. But this is a pretty decent number, 277 00:15:07,640 --> 00:15:10,600 Speaker 12: especially considering that a lot of these left wing reporters 278 00:15:10,640 --> 00:15:13,080 Speaker 12: and a lot of people were suspecting that tariffs would 279 00:15:13,080 --> 00:15:16,080 Speaker 12: play a huge role in seeing the inflation numbers tick up, 280 00:15:16,280 --> 00:15:17,880 Speaker 12: but that doesn't seem to be the case here now. 281 00:15:17,880 --> 00:15:21,040 Speaker 12: When President Trump first took office in January, the six 282 00:15:21,200 --> 00:15:24,440 Speaker 12: month annualized for inflation rate was at a whopping three 283 00:15:24,480 --> 00:15:27,160 Speaker 12: point seven percent. So this number just goes to show 284 00:15:27,160 --> 00:15:29,320 Speaker 12: that we are trending in the right direction. And this 285 00:15:29,400 --> 00:15:31,280 Speaker 12: number also shows that when you look at the bigger 286 00:15:31,280 --> 00:15:35,400 Speaker 12: picture here, it could possibly lead to a good sign 287 00:15:35,760 --> 00:15:38,880 Speaker 12: next month when the Fed takes a look and these 288 00:15:39,040 --> 00:15:41,200 Speaker 12: should we cut rates or not, Well, this should be 289 00:15:41,240 --> 00:15:44,240 Speaker 12: a key indicator that the Fed probably should cut rates. 290 00:15:44,600 --> 00:15:47,000 Speaker 12: And even looking at the bigger picture again here, Joe Bob, 291 00:15:47,080 --> 00:15:49,280 Speaker 12: when you talk about small businesses, you know, they're kind 292 00:15:49,280 --> 00:15:52,280 Speaker 12: of the forefront of our nation, and the President has 293 00:15:52,320 --> 00:15:54,120 Speaker 12: really been putting small businesses. 294 00:15:53,680 --> 00:15:55,360 Speaker 3: In it's American people first. 295 00:15:55,560 --> 00:15:58,840 Speaker 12: And the small business optimism't is actually at a five 296 00:15:58,920 --> 00:16:01,360 Speaker 12: month high at this point, which is pretty good. 297 00:16:01,440 --> 00:16:02,600 Speaker 3: And there's a net thirty. 298 00:16:02,400 --> 00:16:05,800 Speaker 12: Six percent of small business owners are expecting their business 299 00:16:05,800 --> 00:16:07,160 Speaker 12: conditions to improve. 300 00:16:07,400 --> 00:16:09,200 Speaker 3: So it all seems like positive science here. 301 00:16:09,080 --> 00:16:11,280 Speaker 12: At the White House, and Caroline Evian and the press 302 00:16:11,280 --> 00:16:12,960 Speaker 12: fruking this afternoon just reinforce that. 303 00:16:13,560 --> 00:16:15,920 Speaker 1: You know, it's super interesting because it all depends on 304 00:16:16,000 --> 00:16:19,800 Speaker 1: who you read. Because yes, it's beat expectations. Experts were 305 00:16:19,800 --> 00:16:22,280 Speaker 1: saying it's gonna be much higher. Actually came in lower, 306 00:16:22,320 --> 00:16:24,920 Speaker 1: which is great, but also you have the lib media 307 00:16:24,920 --> 00:16:27,520 Speaker 1: outlets saying, well, it's still higher than where we want 308 00:16:27,520 --> 00:16:29,120 Speaker 1: it to be, so it's bad. It was just like, 309 00:16:29,160 --> 00:16:31,560 Speaker 1: oh my gosh, you just just give me what the 310 00:16:31,640 --> 00:16:33,880 Speaker 1: numbers are, what they mean, and let's get on with 311 00:16:33,920 --> 00:16:37,320 Speaker 1: our day. Here speak things going on at the White House. 312 00:16:37,720 --> 00:16:39,800 Speaker 1: Pencil Neck Adam Ship, I think that is that his 313 00:16:39,880 --> 00:16:44,360 Speaker 1: actual first name. Pencil neck. Pencil neck Adam Shift, the smallest, 314 00:16:44,400 --> 00:16:47,560 Speaker 1: thinnest neck he's ever seen. Looks like he could be 315 00:16:47,600 --> 00:16:50,480 Speaker 1: in some trouble for authorizing some leaks. What is the 316 00:16:50,480 --> 00:16:53,720 Speaker 1: White House saying about the senator from the state of California. 317 00:16:54,640 --> 00:16:57,400 Speaker 12: Yeah, I like to alternate between pencil neck and watermelon pad, 318 00:16:57,440 --> 00:17:01,440 Speaker 12: you know, depending on President Trump feeling for that. 319 00:17:01,440 --> 00:17:02,680 Speaker 3: That's my favorite nickname. 320 00:17:03,040 --> 00:17:05,960 Speaker 12: But there's a report coming out where a whistleblower who's 321 00:17:05,960 --> 00:17:08,280 Speaker 12: not a Republican. By the way, he apparently identifies as 322 00:17:08,280 --> 00:17:11,919 Speaker 12: a Democrat who's worked for twelve years within kind of 323 00:17:11,920 --> 00:17:15,000 Speaker 12: like the inner workings of the Hill or whatever it 324 00:17:15,040 --> 00:17:18,199 Speaker 12: may be, in the deep deep state government, whatever it 325 00:17:18,240 --> 00:17:21,840 Speaker 12: may be. But alleging that then republic then excuse me, 326 00:17:22,359 --> 00:17:26,320 Speaker 12: Congressman Adam Schiff was leaking classified information in order to 327 00:17:26,400 --> 00:17:29,119 Speaker 12: smear President Trump when it came to the Russia Gate probe. 328 00:17:29,200 --> 00:17:32,119 Speaker 3: Now this is huge because it proven to be true. 329 00:17:32,160 --> 00:17:35,399 Speaker 12: You know, you're using classified information to shape a narrative, 330 00:17:35,400 --> 00:17:38,280 Speaker 12: shape a political narrative, especially when it comes to the 331 00:17:38,280 --> 00:17:39,479 Speaker 12: President of the United States. 332 00:17:39,840 --> 00:17:41,600 Speaker 3: So Cash Fattel released this. 333 00:17:41,720 --> 00:17:43,840 Speaker 12: Just last night, and I was curious to know what 334 00:17:43,840 --> 00:17:45,159 Speaker 12: the White House would respond to this. 335 00:17:45,480 --> 00:17:46,560 Speaker 3: So I was able to ask. 336 00:17:46,359 --> 00:17:49,680 Speaker 12: That question in the briefing room this afternoon, and Caroline 337 00:17:49,720 --> 00:17:51,640 Speaker 12: Levitt really doubled down on the fact that there needs 338 00:17:51,640 --> 00:17:55,160 Speaker 12: to be more investigations where whether it's Pam Bondi, whether 339 00:17:55,160 --> 00:17:57,960 Speaker 12: it's Tulca Gabbard really diving into this because I think 340 00:17:57,960 --> 00:17:59,840 Speaker 12: that we're just scratching the surface to your thrill, Bob, 341 00:18:00,600 --> 00:18:04,000 Speaker 12: more information I am expecting is to come out. I'd 342 00:18:04,000 --> 00:18:05,800 Speaker 12: say I think the work is far from over. But 343 00:18:05,840 --> 00:18:07,800 Speaker 12: people want to see purple walks. People want to see 344 00:18:07,800 --> 00:18:10,400 Speaker 12: some accountability, and all that is going to come down 345 00:18:10,400 --> 00:18:12,639 Speaker 12: to is when and what does that even look like. 346 00:18:12,760 --> 00:18:15,760 Speaker 12: So I'd say stay tuned, Joe Bob. Pretty information, pretty 347 00:18:15,920 --> 00:18:16,920 Speaker 12: bombshell information. 348 00:18:17,520 --> 00:18:21,280 Speaker 1: It would appear that all of the information against Senator 349 00:18:21,359 --> 00:18:24,400 Speaker 1: Shift is in plain sight if you understand the reference 350 00:18:24,640 --> 00:18:26,880 Speaker 1: from not all that long ago Monica page turning points, 351 00:18:26,920 --> 00:18:28,600 Speaker 1: White House correspondent, Thanks so much for taking the time. 352 00:18:29,320 --> 00:18:30,679 Speaker 3: Thanks you, guys, Thank you. 353 00:18:31,760 --> 00:18:35,160 Speaker 1: Everybody appears to be using AI nowadays and they don't 354 00:18:35,200 --> 00:18:38,960 Speaker 1: necessarily fault people. It's a very interesting and very useful 355 00:18:39,040 --> 00:18:43,200 Speaker 1: technology that kind of helps solve some everyday problems. However, 356 00:18:43,440 --> 00:18:46,280 Speaker 1: there are some problems that kind of give me the 357 00:18:46,320 --> 00:18:51,040 Speaker 1: hebgb's one specifically is therapy. Now, if you have any 358 00:18:51,080 --> 00:18:54,399 Speaker 1: problems in your marriage or relationship or whatso have you, 359 00:18:54,800 --> 00:18:57,280 Speaker 1: I would recommend trying to get those problems solved. What 360 00:18:57,400 --> 00:19:00,960 Speaker 1: I don't know that I recommend is trying to use chat, 361 00:19:01,040 --> 00:19:05,520 Speaker 1: GPT or any other large language learning models to do so. 362 00:19:05,560 --> 00:19:08,240 Speaker 1: I want to bring our panel back. Elizabeth barko'hanna, Tiffany 363 00:19:08,320 --> 00:19:12,120 Speaker 1: Murrie Brandon, Guys, I I'm kind of uncomfortable with this 364 00:19:12,240 --> 00:19:15,199 Speaker 1: big piece in NPR of all places. I thought they 365 00:19:15,240 --> 00:19:17,800 Speaker 1: were defunded, but I guess they're still going for as 366 00:19:17,800 --> 00:19:21,879 Speaker 1: of right now. But Elizabeth, I'm curious, you know, just 367 00:19:22,200 --> 00:19:27,800 Speaker 1: general your thoughts people using AI as their therapist going 368 00:19:27,840 --> 00:19:29,919 Speaker 1: forward in their relationships. I feel like it takes the 369 00:19:29,960 --> 00:19:33,320 Speaker 1: personal element out of it. I'm not super comfortable in 370 00:19:33,320 --> 00:19:34,680 Speaker 1: that respect. What do you think. 371 00:19:36,720 --> 00:19:40,200 Speaker 5: Well, I've been married for thirteen years and I am 372 00:19:40,320 --> 00:19:45,640 Speaker 5: grateful that I missed the online dating. I missed this, 373 00:19:45,880 --> 00:19:49,520 Speaker 5: you know, chat turning to chat GBT to like decipher 374 00:19:49,880 --> 00:19:50,920 Speaker 5: you know, what's going. 375 00:19:50,720 --> 00:19:54,919 Speaker 6: On in your dating relationship. And I feel for people 376 00:19:55,119 --> 00:19:57,120 Speaker 6: who are who. 377 00:19:56,920 --> 00:20:01,359 Speaker 5: Are in that stage of life right now, because it 378 00:20:01,480 --> 00:20:08,720 Speaker 5: sounds really hard. There is no substitute for interpersonal connection. 379 00:20:09,080 --> 00:20:12,400 Speaker 5: And the funniest thing about this article about the chat 380 00:20:12,440 --> 00:20:16,440 Speaker 5: GPT you know, being a therapist for people is that 381 00:20:16,880 --> 00:20:21,280 Speaker 5: the experts were like, there's a white male bias built 382 00:20:21,400 --> 00:20:27,359 Speaker 5: into these it's chat, the chat bots and the AI 383 00:20:28,000 --> 00:20:31,400 Speaker 5: and so like, the women weren't getting I guess the 384 00:20:31,720 --> 00:20:35,359 Speaker 5: feedback that they needed, and so they blamed it on 385 00:20:36,280 --> 00:20:37,920 Speaker 5: you know, this this bias. 386 00:20:38,240 --> 00:20:41,280 Speaker 6: I used to have a friend. You know when I. 387 00:20:40,880 --> 00:20:43,760 Speaker 5: Got like all messed up in my head when I 388 00:20:43,800 --> 00:20:46,360 Speaker 5: was dating, I used to have that friend who could 389 00:20:46,400 --> 00:20:49,320 Speaker 5: be objective and I would caller and be like, Okay. 390 00:20:49,080 --> 00:20:50,880 Speaker 2: This is what he said, Like what do I do? 391 00:20:51,280 --> 00:20:55,080 Speaker 5: You know that we had friends, we didn't have robots, 392 00:20:55,280 --> 00:20:59,520 Speaker 5: and that's it's a very scary thing to see how 393 00:20:59,640 --> 00:21:03,520 Speaker 5: society is turning and you know, turning more towards AI 394 00:21:04,760 --> 00:21:08,200 Speaker 5: where our relationships used to be the thing that. 395 00:21:09,640 --> 00:21:13,119 Speaker 6: You know, sustained us and nourished us. 396 00:21:13,359 --> 00:21:16,600 Speaker 1: Yeah, make friends, not robots. It sounds kind of orwellian 397 00:21:16,720 --> 00:21:19,000 Speaker 1: to think that people are even considering doing that. Tiffany, 398 00:21:19,000 --> 00:21:21,239 Speaker 1: if I were to play the other side of the argument, right, 399 00:21:21,520 --> 00:21:25,480 Speaker 1: you've got somebody who doesn't or unless it has white 400 00:21:25,480 --> 00:21:28,200 Speaker 1: man implicit bias, you really you don't have any bias 401 00:21:28,240 --> 00:21:30,760 Speaker 1: on the internet side of things, whereas a in person 402 00:21:30,800 --> 00:21:33,800 Speaker 1: therapist can see other different variables and factors. Do you 403 00:21:33,800 --> 00:21:36,120 Speaker 1: think that's a good enough argument for people to continue 404 00:21:36,160 --> 00:21:37,840 Speaker 1: doing this or do you think that this needs to 405 00:21:38,160 --> 00:21:39,280 Speaker 1: go by the wayside. 406 00:21:39,920 --> 00:21:41,159 Speaker 6: I think it's a terrible argument. 407 00:21:41,280 --> 00:21:43,360 Speaker 2: I think that I was just with doctor John Lennox 408 00:21:43,560 --> 00:21:44,560 Speaker 2: in the. 409 00:21:44,600 --> 00:21:49,160 Speaker 4: UK, and he's a specialist in transhumanism, and what this is, 410 00:21:49,200 --> 00:21:53,400 Speaker 4: this is another gateway door for us to walk into 411 00:21:53,480 --> 00:21:56,639 Speaker 4: as a society where we are replacing friends, we were 412 00:21:56,640 --> 00:21:59,720 Speaker 4: replacing loved ones, we were replacing our source of information 413 00:22:00,440 --> 00:22:04,520 Speaker 4: with a algorithm, with a man made AI that is, 414 00:22:04,640 --> 00:22:06,960 Speaker 4: as we know, being programmed by random people, and we 415 00:22:07,040 --> 00:22:09,040 Speaker 4: know that there are implicit biases. And more than that, 416 00:22:09,960 --> 00:22:13,160 Speaker 4: what says that once we invite this AI into our 417 00:22:13,160 --> 00:22:16,080 Speaker 4: personal life and start having it giving us advice and 418 00:22:16,560 --> 00:22:18,560 Speaker 4: direction for our personal life, that we're not going to 419 00:22:18,560 --> 00:22:22,880 Speaker 4: be eventually incredibly comfortable with it dictating our public life, 420 00:22:22,880 --> 00:22:25,640 Speaker 4: with it dictating more of our government, more of our policy, 421 00:22:25,960 --> 00:22:27,439 Speaker 4: more of our professional stuff. 422 00:22:27,480 --> 00:22:30,000 Speaker 2: And what this really is is that we're getting comfortable 423 00:22:30,040 --> 00:22:30,320 Speaker 2: with it. 424 00:22:30,400 --> 00:22:35,119 Speaker 4: We're welcoming it into our homes, into our emotions, and 425 00:22:35,200 --> 00:22:39,160 Speaker 4: that is the perfect little you know, cracking the door 426 00:22:39,200 --> 00:22:42,160 Speaker 4: that they need to then walk through and take over 427 00:22:42,240 --> 00:22:42,520 Speaker 4: on a. 428 00:22:42,520 --> 00:22:43,600 Speaker 2: Much larger format. 429 00:22:43,680 --> 00:22:46,560 Speaker 4: And you know the threat of transhumanism and this whole 430 00:22:46,600 --> 00:22:50,920 Speaker 4: push for AI and really depending on computers over people. 431 00:22:51,440 --> 00:22:54,240 Speaker 4: It's it's the opposite of how we were created. It's 432 00:22:54,280 --> 00:22:56,240 Speaker 4: the opposite of how humanity is supposed to work, and 433 00:22:56,280 --> 00:22:58,960 Speaker 4: it is the end of human flourishing as we know it. 434 00:22:59,560 --> 00:23:02,280 Speaker 1: Yeah, I'm not a big fan of it, and I 435 00:23:02,320 --> 00:23:04,520 Speaker 1: think I think hopefully people will start to catch on 436 00:23:04,560 --> 00:23:07,480 Speaker 1: to that. Speaking of relationships, and I know you viewers 437 00:23:07,520 --> 00:23:09,119 Speaker 1: at Homer can be like, are you seriously going to 438 00:23:09,160 --> 00:23:12,440 Speaker 1: talk about Taylor Swift's new album? But Taylor Swift debuted 439 00:23:12,440 --> 00:23:14,320 Speaker 1: the fact that she's going to have a new album 440 00:23:14,359 --> 00:23:16,840 Speaker 1: coming out. She did it on her boyfriend's podcast, The 441 00:23:17,119 --> 00:23:19,639 Speaker 1: Reason Why. And you guys can feel free to disagree 442 00:23:19,680 --> 00:23:21,240 Speaker 1: with me on this The Reason Why. I think this 443 00:23:21,320 --> 00:23:24,679 Speaker 1: is so impactful that I genuinely believe actions speak louder 444 00:23:24,720 --> 00:23:27,200 Speaker 1: than words. Yes, she has said some things that are 445 00:23:27,280 --> 00:23:30,800 Speaker 1: unkind to political figures and policies that we hold near 446 00:23:30,880 --> 00:23:33,359 Speaker 1: and dear. But at the same time, Taylor Swift seems 447 00:23:33,400 --> 00:23:38,400 Speaker 1: to be embracing the relationship with a masculine dude who 448 00:23:38,440 --> 00:23:41,640 Speaker 1: does a lot of masculine dude things. I think that 449 00:23:41,840 --> 00:23:45,240 Speaker 1: is a great example to be set for millions of 450 00:23:45,240 --> 00:23:47,600 Speaker 1: people across the country, both men and women, of how 451 00:23:47,600 --> 00:23:51,560 Speaker 1: a relationship should be ordered. Feel free to disagree with 452 00:23:51,600 --> 00:23:53,280 Speaker 1: me if you want. Tiffany Yet, what are your thoughts 453 00:23:53,280 --> 00:23:56,159 Speaker 1: on Taylor Swift and her public relationships. 454 00:23:56,200 --> 00:24:00,399 Speaker 4: Saga, I cannot stand Taylor Swift that I is a brocmac. 455 00:24:00,880 --> 00:24:02,439 Speaker 6: I oh this girl. 456 00:24:02,840 --> 00:24:05,000 Speaker 4: I was just hoping it was another breakup album, to 457 00:24:05,040 --> 00:24:09,000 Speaker 4: be honest or like, I have no respect for her 458 00:24:09,160 --> 00:24:13,360 Speaker 4: or or Travis and their liberal, you know, abortion loving policies. 459 00:24:13,760 --> 00:24:16,520 Speaker 4: But yeah, I think that it could be good. At 460 00:24:16,600 --> 00:24:19,520 Speaker 4: least she's with a masculine guy that actually has testosterone 461 00:24:19,560 --> 00:24:21,800 Speaker 4: or not one of her you know, skinny jeans wearing 462 00:24:21,960 --> 00:24:23,480 Speaker 4: songwriter boyfriends like we've. 463 00:24:23,320 --> 00:24:23,960 Speaker 6: Had in the past. 464 00:24:24,000 --> 00:24:26,600 Speaker 4: So that's a step up, right, We're starting to get 465 00:24:26,640 --> 00:24:29,080 Speaker 4: back to the masculine, you know ideal a little bit. 466 00:24:29,200 --> 00:24:32,520 Speaker 2: So I'll take it. I'll take it, but I will 467 00:24:32,560 --> 00:24:34,719 Speaker 2: never go to a tailer swip concert. 468 00:24:36,520 --> 00:24:39,960 Speaker 1: You don't have to. But said, that's my point of like, hey, Elizabeth, 469 00:24:39,960 --> 00:24:43,200 Speaker 1: she was dating these like mealy mouthed eyeshop at airwan. 470 00:24:43,320 --> 00:24:45,479 Speaker 1: I'm a vegan and I might get blown over if 471 00:24:45,520 --> 00:24:48,560 Speaker 1: a child sneezes in my direction to a a And 472 00:24:48,640 --> 00:24:51,000 Speaker 1: this is gonna sound a little bit suspect. A big 473 00:24:51,119 --> 00:24:54,760 Speaker 1: hulk and good looking man culturally speaking, is that something 474 00:24:54,800 --> 00:24:56,840 Speaker 1: that we should be concerned about or should we be 475 00:24:57,040 --> 00:24:57,920 Speaker 1: celebrating it? 476 00:24:59,600 --> 00:25:01,520 Speaker 6: I hope she finds happiness. 477 00:25:01,680 --> 00:25:06,480 Speaker 5: You know, I wish every single woman a good relationship 478 00:25:06,680 --> 00:25:07,880 Speaker 5: with the right man. 479 00:25:08,640 --> 00:25:11,200 Speaker 6: And I do think that, you know, you're. 480 00:25:11,119 --> 00:25:15,040 Speaker 5: Right that these cultural shifts that were watching not only this, 481 00:25:15,280 --> 00:25:18,840 Speaker 5: but the you know, the American Eagle ad with Sydney Sweety, Like, 482 00:25:19,119 --> 00:25:23,520 Speaker 5: there's all these you know, shifts that we're noticing because 483 00:25:23,640 --> 00:25:28,560 Speaker 5: people felt that the what we were getting before was 484 00:25:28,640 --> 00:25:32,520 Speaker 5: not reflective of reality and human nature and the nature 485 00:25:32,560 --> 00:25:34,560 Speaker 5: of a woman. And you know, she wants to be 486 00:25:34,600 --> 00:25:36,320 Speaker 5: taken care of and she wants to be with a 487 00:25:36,359 --> 00:25:41,399 Speaker 5: masculine man. That's how most women in healthy relationships feel. 488 00:25:42,600 --> 00:25:43,920 Speaker 2: And so this is great. 489 00:25:43,960 --> 00:25:48,080 Speaker 5: And as far as like her music, you know, if 490 00:25:48,280 --> 00:25:52,960 Speaker 5: I were to eliminate from my Spotify playlist everyone who 491 00:25:53,040 --> 00:25:58,600 Speaker 5: is anti Semitic, potentially a pedophile or liberal like I 492 00:25:58,640 --> 00:25:59,480 Speaker 5: would be able to. 493 00:25:59,440 --> 00:26:00,760 Speaker 6: Not listen to any music. 494 00:26:01,520 --> 00:26:04,679 Speaker 5: And so I think it's you know, it's hard to 495 00:26:04,760 --> 00:26:07,360 Speaker 5: separate the artist from the art. 496 00:26:08,400 --> 00:26:12,480 Speaker 2: But I like her music, So yeah, listened to. 497 00:26:12,400 --> 00:26:14,560 Speaker 6: It like with like a little bit of resentment. 498 00:26:14,680 --> 00:26:20,160 Speaker 1: But I like listening to music by pedophiles with resentment. 499 00:26:20,359 --> 00:26:24,600 Speaker 1: The Elizabeth barko'hanna story. I think I'm just overly optimistic. 500 00:26:24,720 --> 00:26:27,840 Speaker 1: I think Taylor Swift is one kid away from becoming 501 00:26:27,840 --> 00:26:32,080 Speaker 1: a right wing extremist. It happened with Whitney Cummings recently, Yeah, 502 00:26:34,119 --> 00:26:36,600 Speaker 1: so so I it's it's happening with people all over 503 00:26:36,600 --> 00:26:38,480 Speaker 1: the spectrum. So that's that is my hope. That's I 504 00:26:38,480 --> 00:26:41,040 Speaker 1: think why I talk about this so much. But anyways, guys, 505 00:26:41,119 --> 00:26:43,720 Speaker 1: thank you so much, Elizabeth and Tiffany. Thank you so 506 00:26:43,800 --> 00:26:45,560 Speaker 1: much for joining us. For really appreciate you taking the time. 507 00:26:46,160 --> 00:26:46,480 Speaker 13: Thank you. 508 00:26:47,160 --> 00:26:47,920 Speaker 6: Nice to be with you. 509 00:26:48,440 --> 00:26:51,080 Speaker 1: Thank you. You can send any of your thoughts via 510 00:26:51,200 --> 00:26:53,920 Speaker 1: email to TPT at tpusa dot com. You can email 511 00:26:53,920 --> 00:26:55,680 Speaker 1: whether you agree with everything we've said on the show 512 00:26:55,760 --> 00:26:58,880 Speaker 1: or you're wrong. Either one works TPT at tpusa dot com. 513 00:26:58,880 --> 00:27:00,600 Speaker 1: What do you think about us talking about Taylor Sliff 514 00:27:00,920 --> 00:27:03,040 Speaker 1: coming up? After the break? A fascinating coach from Mouse 515 00:27:03,080 --> 00:27:06,440 Speaker 1: Clark's Culture Apothecary podcast, one of the number one rank 516 00:27:06,560 --> 00:27:09,840 Speaker 1: health and fitness, health and wellness podcasts on the market, 517 00:27:09,840 --> 00:27:11,760 Speaker 1: produced by Turning Point USA. Don't go, I'll be right 518 00:27:11,800 --> 00:27:13,680 Speaker 1: back after the break. 519 00:27:17,960 --> 00:27:20,959 Speaker 9: Got to admire what you've been able to do, not 520 00:27:21,000 --> 00:27:24,399 Speaker 9: to weaponize, but to organize on these college campuses. 521 00:27:24,680 --> 00:27:27,760 Speaker 10: At Turning Point USA. We've spent thirteen years building the 522 00:27:27,800 --> 00:27:30,920 Speaker 10: machine and last year we sought payoff. Our grassroots army 523 00:27:30,960 --> 00:27:33,560 Speaker 10: is making a real difference. Help us keep the momentum going. 524 00:27:33,760 --> 00:27:38,600 Speaker 10: Donate today and keep tp USA strong on campuses across America, and. 525 00:27:38,600 --> 00:27:40,840 Speaker 11: For a gift of any amount, you'll receive your big 526 00:27:40,840 --> 00:27:43,560 Speaker 11: GOV sucks Cooler claim yours today. 527 00:27:51,000 --> 00:27:54,280 Speaker 14: What do you pack your daughters for lunch as a nutritionist, Well. 528 00:27:54,359 --> 00:27:56,560 Speaker 15: It varies because I have won in elementary, two in 529 00:27:56,560 --> 00:27:58,760 Speaker 15: middle school, and one in high school, and high school 530 00:27:58,880 --> 00:28:01,440 Speaker 15: is also they're all athletes, but the high schooler is 531 00:28:01,480 --> 00:28:03,639 Speaker 15: going straight to her sports sometimes and so it's more 532 00:28:03,720 --> 00:28:07,920 Speaker 15: like packing like four meals for grown men. My malementary 533 00:28:07,960 --> 00:28:09,760 Speaker 15: is easy because she's still in one of those Bento 534 00:28:09,840 --> 00:28:13,400 Speaker 15: boxes and that's totally satisfying to her. She gets frustrated though, 535 00:28:13,440 --> 00:28:16,480 Speaker 15: because for snack they can only grab one thing, and 536 00:28:16,520 --> 00:28:19,400 Speaker 15: she's like, it's really hard to get a nut free carb, 537 00:28:19,480 --> 00:28:21,520 Speaker 15: bat and protein and one thing, which is true. But 538 00:28:21,560 --> 00:28:23,760 Speaker 15: popcorn is kind of one of our go tos for 539 00:28:23,880 --> 00:28:26,760 Speaker 15: snacks because especially if I make it homemade and I 540 00:28:26,760 --> 00:28:30,600 Speaker 15: can add you know, coconut oil and other aspects to 541 00:28:30,640 --> 00:28:33,400 Speaker 15: it to make it bulkier so to speak. Popcorn two 542 00:28:33,680 --> 00:28:36,320 Speaker 15: has seven grams of protein in it, so that's helpful, 543 00:28:36,359 --> 00:28:38,920 Speaker 15: and then adding healthy fat so it's a fat carb 544 00:28:39,000 --> 00:28:40,840 Speaker 15: protein because you know, kids are not going to want 545 00:28:40,840 --> 00:28:41,920 Speaker 15: to snack on chickpeas. 546 00:28:42,040 --> 00:28:43,720 Speaker 14: Have you ever tried pluck seasoning? 547 00:28:44,240 --> 00:28:44,840 Speaker 7: Huhuh? 548 00:28:44,920 --> 00:28:49,000 Speaker 14: Pluck is like organ meat, organic grass fed organ meat seasoning. 549 00:28:49,080 --> 00:28:49,920 Speaker 7: Okay, so good. 550 00:28:49,920 --> 00:28:53,480 Speaker 14: I mean it just tastes like like garlic seasoning or 551 00:28:53,480 --> 00:28:55,920 Speaker 14: they just have you know, like spicy seasoning things are that. 552 00:28:56,000 --> 00:28:57,120 Speaker 7: Great thing to add to popcorn. 553 00:28:57,160 --> 00:28:58,880 Speaker 14: That would be really good on popcorn, and then she 554 00:28:58,960 --> 00:29:00,000 Speaker 14: get the organ meat benefit. 555 00:29:00,040 --> 00:29:03,960 Speaker 7: It's yes, which is so important for gals and B vitamins. 556 00:29:04,480 --> 00:29:07,360 Speaker 15: So for the older ones it is like a main meal, 557 00:29:08,040 --> 00:29:10,280 Speaker 15: a fruit and a vegetable, and for my oldest it's 558 00:29:10,360 --> 00:29:13,320 Speaker 15: usually two fruits a main meal, like three proteins a 559 00:29:13,400 --> 00:29:16,880 Speaker 15: bar and so the bar or like energy bytes, so 560 00:29:17,120 --> 00:29:19,800 Speaker 15: we live on energy bytes too because they're you know, 561 00:29:19,840 --> 00:29:20,320 Speaker 15: grabbing go. 562 00:29:20,520 --> 00:29:21,520 Speaker 7: We can add protein. 563 00:29:21,840 --> 00:29:25,000 Speaker 15: So like a little power ball, I was going to 564 00:29:25,080 --> 00:29:28,000 Speaker 15: make you some, but I had to travel too far it. 565 00:29:28,360 --> 00:29:30,240 Speaker 15: I know, next time you're in Nashville, let me know. 566 00:29:30,600 --> 00:29:32,600 Speaker 15: So power balls are like going to be an oat 567 00:29:32,640 --> 00:29:34,880 Speaker 15: base unless you're aap than with a IP. 568 00:29:35,040 --> 00:29:37,240 Speaker 7: We use tigernut. Have you done tiger nut flower? 569 00:29:37,280 --> 00:29:37,480 Speaker 12: Yeah? 570 00:29:37,520 --> 00:29:39,880 Speaker 15: Never, it's a good carb. Cassava flower is a good 571 00:29:39,880 --> 00:29:43,800 Speaker 15: carb for you. Those are good potentials for anti inflammatory. 572 00:29:44,000 --> 00:29:46,280 Speaker 15: So we use oats. I ground them up and we 573 00:29:46,360 --> 00:29:50,560 Speaker 15: add honey and nut butter and protein powder. Sometimes we 574 00:29:50,720 --> 00:29:53,360 Speaker 15: just do a like a multi protein collagen like the 575 00:29:53,400 --> 00:29:56,840 Speaker 15: ancient nutrition one. I like that collagen for collagen for protein, 576 00:29:57,000 --> 00:30:00,720 Speaker 15: and then of course like chocolate chips or coconut flax seed, 577 00:30:00,840 --> 00:30:02,760 Speaker 15: those kind of things. They're kind of like a smoothie 578 00:30:02,800 --> 00:30:04,240 Speaker 15: where you can get away with adding a lot of 579 00:30:04,240 --> 00:30:05,680 Speaker 15: stuff without anybody knowing. 580 00:30:05,760 --> 00:30:07,760 Speaker 14: For women where it's really hard to get enough protein 581 00:30:07,760 --> 00:30:09,840 Speaker 14: throughout the day. What are your best hacks. 582 00:30:09,720 --> 00:30:12,720 Speaker 15: Well I like using a protein powder, especially because the 583 00:30:12,720 --> 00:30:14,680 Speaker 15: ones on the market, like the same ones you promote, 584 00:30:15,080 --> 00:30:19,440 Speaker 15: are very minimally processed without the added junk. I feel 585 00:30:19,440 --> 00:30:21,440 Speaker 15: like the last ten years protein powder is made to 586 00:30:21,480 --> 00:30:24,560 Speaker 15: comeback in the wellness space because for a while they 587 00:30:24,560 --> 00:30:27,719 Speaker 15: were so junkie. So I do like using protein powder 588 00:30:27,800 --> 00:30:31,200 Speaker 15: to supplement protein. If you can have dairy, I think 589 00:30:31,280 --> 00:30:34,120 Speaker 15: cheese sticks are really helpful. Like we talked about the 590 00:30:34,160 --> 00:30:37,520 Speaker 15: beef sticks, Pumpkin seeds have nine grams of protein, whereas 591 00:30:37,560 --> 00:30:40,440 Speaker 15: most seeds and nuts have a little bit less, so pumpkin. 592 00:30:40,120 --> 00:30:40,760 Speaker 7: Seeds are go to. 593 00:30:40,840 --> 00:30:45,480 Speaker 15: There's also really helped to annoy the parasites that almost 594 00:30:45,480 --> 00:30:46,360 Speaker 15: everybody has. 595 00:30:46,960 --> 00:30:49,680 Speaker 14: Yes, okay, so you are a believer in the parasite stuff. 596 00:30:49,760 --> 00:30:52,520 Speaker 15: I'm a believer in the parasite stuff. I know for 597 00:30:52,560 --> 00:30:55,280 Speaker 15: a fact. I did the experiments on myself. 598 00:30:55,280 --> 00:30:57,560 Speaker 7: I always do. My husband say, stop being a guinea pig. 599 00:30:57,640 --> 00:31:00,480 Speaker 14: Okay, Well, I got a text message from friends Huband 600 00:31:01,280 --> 00:31:03,680 Speaker 14: this morning actually, and he said, I just listened to 601 00:31:03,680 --> 00:31:07,960 Speaker 14: your parasite episode that came out recently. And my mom 602 00:31:08,280 --> 00:31:10,880 Speaker 14: was a practitioner and she was somebody who really helped 603 00:31:10,880 --> 00:31:13,000 Speaker 14: people do parasite cleanses. He said that she had a client. 604 00:31:13,040 --> 00:31:15,360 Speaker 14: It was a twelve year old boy whose family was 605 00:31:15,360 --> 00:31:17,160 Speaker 14: traveling a lot. They were eating a lot of fast food. 606 00:31:17,400 --> 00:31:19,040 Speaker 14: She was convinced he had a parasite. Put them on 607 00:31:19,040 --> 00:31:24,120 Speaker 14: a cleanse. He pooped out a twelve inch long, four 608 00:31:24,280 --> 00:31:27,920 Speaker 14: inch wide tapeworm and I was like, that's like a 609 00:31:27,960 --> 00:31:30,320 Speaker 14: turd and he goes, he goes, well, it was more 610 00:31:30,440 --> 00:31:34,840 Speaker 14: like a lasagna noodle that is so vile it is 611 00:31:34,880 --> 00:31:37,200 Speaker 14: and I just don't even understand it. But yeah, so 612 00:31:37,280 --> 00:31:38,960 Speaker 14: now I'm like, I need to do it. I haven't 613 00:31:38,960 --> 00:31:40,440 Speaker 14: done it yet. I'm just like, I'm nervous. 614 00:31:40,520 --> 00:31:44,320 Speaker 7: Press the body with pumpkin seeds. Okay, seriously, Okay, that 615 00:31:44,400 --> 00:31:46,240 Speaker 7: will start to round them up. 616 00:31:46,560 --> 00:31:50,160 Speaker 15: The thing that I learned and through my own personal experience, 617 00:31:50,200 --> 00:31:52,680 Speaker 15: because I always have to share that part of it 618 00:31:52,680 --> 00:31:54,280 Speaker 15: because I've seen it with clients, it can be a 619 00:31:54,440 --> 00:31:58,520 Speaker 15: very inflammatory to jump into a parasite cleanse foundational support again, 620 00:31:58,800 --> 00:32:02,840 Speaker 15: ninety days of foundationals before jumping into parasite clients. All 621 00:32:02,880 --> 00:32:04,400 Speaker 15: four drainage pathways. 622 00:32:04,000 --> 00:32:04,600 Speaker 7: Need to be open. 623 00:32:04,640 --> 00:32:07,440 Speaker 15: You do not want these suckers crawling out of other 624 00:32:07,480 --> 00:32:10,640 Speaker 15: holes in the body. You want to coming out through 625 00:32:10,720 --> 00:32:14,120 Speaker 15: the colon, through your or something sick. 626 00:32:14,280 --> 00:32:17,080 Speaker 14: If something came out of my eye, I'm literally I'm 627 00:32:17,160 --> 00:32:19,800 Speaker 14: just I'm gone. I'm gone. Yes, I can't live on 628 00:32:19,840 --> 00:32:20,640 Speaker 14: this planet anymore. 629 00:32:20,640 --> 00:32:23,320 Speaker 15: I did testing for I did bio energetic testing for 630 00:32:23,400 --> 00:32:27,080 Speaker 15: it and discovered because all of my gimps always came 631 00:32:27,120 --> 00:32:29,280 Speaker 15: back negative, and I see with clients a lot of 632 00:32:29,280 --> 00:32:32,920 Speaker 15: times gimps come back not negative. There's always protozoa, but 633 00:32:33,040 --> 00:32:36,840 Speaker 15: no like major parasite infection. When we knew there's parasites 634 00:32:36,880 --> 00:32:41,320 Speaker 15: going on, because based on labs, you can see patterns 635 00:32:41,480 --> 00:32:45,000 Speaker 15: of infections and sometimes those patterns show what type of 636 00:32:45,120 --> 00:32:47,240 Speaker 15: infection that you're dealing with. And if you're working through 637 00:32:47,240 --> 00:32:50,520 Speaker 15: a roadmap, we like to do parasites first, you know. 638 00:32:50,560 --> 00:32:53,520 Speaker 14: And so heyed my gimp testing, it said I didn't 639 00:32:53,520 --> 00:32:53,960 Speaker 14: have any others. 640 00:32:54,000 --> 00:32:54,680 Speaker 7: Okay, So so. 641 00:32:54,720 --> 00:32:58,080 Speaker 15: Did mine okay, And then my bio energetic testing said 642 00:32:58,080 --> 00:33:01,360 Speaker 15: that I had. And this is physics holding onto these handles, 643 00:33:01,360 --> 00:33:06,240 Speaker 15: and it's running wavelengths on your body. Okay, and certain parasites, 644 00:33:06,280 --> 00:33:09,160 Speaker 15: certain pathogens, I should say, because it's all pathogens. It's mold, 645 00:33:09,200 --> 00:33:13,440 Speaker 15: my toxins, it's viral, it's all these things. 646 00:33:13,440 --> 00:33:16,520 Speaker 7: Okay. So they showed up in my red. 647 00:33:16,320 --> 00:33:22,240 Speaker 15: Blood cells, in my kidneys and on my liver, and 648 00:33:22,320 --> 00:33:25,080 Speaker 15: so the work for me was to get them into 649 00:33:25,120 --> 00:33:26,960 Speaker 15: the gut so I could get rid of them. 650 00:33:27,120 --> 00:33:29,479 Speaker 7: How'd you do that? Ive remect in okay? 651 00:33:29,560 --> 00:33:35,200 Speaker 15: Okay, yeah, but light therapy like the red light more intense. 652 00:33:35,640 --> 00:33:38,680 Speaker 15: So the bio energetic person that I go to has 653 00:33:38,880 --> 00:33:44,280 Speaker 15: what's called firefly and it literally like brings using even 654 00:33:44,320 --> 00:33:45,760 Speaker 15: red light because I know you love red light and 655 00:33:45,840 --> 00:33:48,360 Speaker 15: I do too. I love all light therapy. It's all 656 00:33:48,400 --> 00:33:51,440 Speaker 15: physics and the body response so well to physics. We 657 00:33:51,440 --> 00:33:53,200 Speaker 15: were able to get them into the gut and start 658 00:33:53,240 --> 00:33:56,480 Speaker 15: destroying them. What this is like nine months and I 659 00:33:56,560 --> 00:33:59,960 Speaker 15: have to kind of just go with the full moon process. Yep, Okay, 660 00:34:00,000 --> 00:34:02,320 Speaker 15: you don't want to do it constantly, that's for sure. 661 00:34:02,520 --> 00:34:05,120 Speaker 14: What is the correct way to stabilize blood sugar? Because 662 00:34:05,160 --> 00:34:06,720 Speaker 14: you know what I think is interesting. My dad was 663 00:34:06,720 --> 00:34:09,160 Speaker 14: a type two diabetic and his blood sugar would be load. 664 00:34:09,200 --> 00:34:10,920 Speaker 14: He's like, well, I'm this is the doctor said I 665 00:34:10,920 --> 00:34:12,719 Speaker 14: should have soda. The doctor said I need to have 666 00:34:12,760 --> 00:34:15,960 Speaker 14: a treat I'm like, really, explain. 667 00:34:15,719 --> 00:34:16,799 Speaker 7: Well, we don't want to spike it. 668 00:34:16,840 --> 00:34:19,600 Speaker 15: You want to regulate it, like the whole body metabolic system, 669 00:34:19,960 --> 00:34:22,080 Speaker 15: blood sugar, all of that. People talk about having high 670 00:34:22,120 --> 00:34:25,080 Speaker 15: and low, Well, nobody, why doesn't anyone talk about regulating 671 00:34:25,160 --> 00:34:28,719 Speaker 15: balancing right and so always eating all three carbs by 672 00:34:28,719 --> 00:34:31,000 Speaker 15: themselves is the best way to regulate blood sugar. But 673 00:34:31,000 --> 00:34:34,280 Speaker 15: I also see blood sugar being off because of cortisol, 674 00:34:34,400 --> 00:34:37,240 Speaker 15: because of stress and the stressors a lot of times 675 00:34:37,280 --> 00:34:39,239 Speaker 15: are heightened by internal stressors. 676 00:34:39,280 --> 00:34:41,040 Speaker 7: So it's not just food. 677 00:34:41,200 --> 00:34:44,320 Speaker 15: It's managing stress, it's mitigating stress, it's getting to the 678 00:34:44,400 --> 00:34:47,560 Speaker 15: root cause your symptoms. It's regulating cortisol. When our cortisol 679 00:34:47,640 --> 00:34:50,680 Speaker 15: is regulated, our blood sugar tends to have an easier time. 680 00:34:50,960 --> 00:34:52,200 Speaker 7: But they work hand in hand. 681 00:34:52,480 --> 00:34:55,280 Speaker 15: If you're ever drinking a soda by itself or eating 682 00:34:55,320 --> 00:34:57,840 Speaker 15: carbs by themselves, it's gonna spike your blood sugar. That 683 00:34:58,000 --> 00:35:01,160 Speaker 15: could stress potentially at some point point, stress out the system, 684 00:35:01,320 --> 00:35:04,640 Speaker 15: especially when it's chronic, which is where insulin resistance kind 685 00:35:04,640 --> 00:35:07,120 Speaker 15: of builds up, which is what leads to type two diabetes. 686 00:35:07,640 --> 00:35:10,480 Speaker 14: When somebody says to you, well, my doctor says my 687 00:35:10,800 --> 00:35:14,120 Speaker 14: cholesterol's too high, what do you say, Let. 688 00:35:13,960 --> 00:35:18,560 Speaker 15: Me see functionally, the ranges are just different. And when 689 00:35:18,600 --> 00:35:23,000 Speaker 15: you're looking at the labs from a functional lens and 690 00:35:23,040 --> 00:35:27,560 Speaker 15: looking for patterns, but also like what's optimal, I have 691 00:35:27,640 --> 00:35:29,160 Speaker 15: to say like personally, so. 692 00:35:30,000 --> 00:35:32,160 Speaker 7: Don't quote me on any slowdies. 693 00:35:31,719 --> 00:35:35,400 Speaker 15: But for me personally, I see the most optimal body 694 00:35:35,880 --> 00:35:39,600 Speaker 15: over two hundred, which is red flagged, so like two 695 00:35:39,800 --> 00:35:42,560 Speaker 15: hundred to two twenty ish, that's usually when I see 696 00:35:42,560 --> 00:35:47,320 Speaker 15: the most optimal body, especially thyroid health, blood sugar. 697 00:35:47,760 --> 00:35:50,359 Speaker 14: What do you tell people who say, well, I don't 698 00:35:50,360 --> 00:35:51,680 Speaker 14: want to do this test, I don't want to go 699 00:35:51,719 --> 00:35:53,719 Speaker 14: see this doctor because they're not covered by insurance. 700 00:35:54,040 --> 00:35:57,439 Speaker 15: That's a hard one because sometimes that's all people have 701 00:35:57,600 --> 00:36:01,120 Speaker 15: to fall back on, and so I always I always 702 00:36:01,160 --> 00:36:03,520 Speaker 15: say you can get most labs run by insurance, And 703 00:36:03,560 --> 00:36:05,960 Speaker 15: so if you can get these blood labs run by your. 704 00:36:05,800 --> 00:36:07,280 Speaker 7: Doctor, go that route. 705 00:36:08,080 --> 00:36:10,960 Speaker 15: If you can't, sometimes your life depends on it. So 706 00:36:11,040 --> 00:36:12,799 Speaker 15: like what can you cut out in your life so 707 00:36:12,840 --> 00:36:15,919 Speaker 15: that you can afford these services? Because I do think 708 00:36:16,000 --> 00:36:19,040 Speaker 15: that we're a little bit indoctrinated to think that we 709 00:36:19,160 --> 00:36:22,560 Speaker 15: have to go to the doctor rather than like understanding 710 00:36:22,560 --> 00:36:25,640 Speaker 15: our own bodies, Like intuitively we can heal a lot 711 00:36:25,640 --> 00:36:28,879 Speaker 15: of things ourselves with having the right support, with having 712 00:36:28,920 --> 00:36:31,719 Speaker 15: the right help, but starting with food as the foundation. 713 00:36:32,800 --> 00:36:34,359 Speaker 7: I tell them, like, what's it worth to you? 714 00:36:35,040 --> 00:36:38,040 Speaker 15: We pay for our cars to be serviced, we pay 715 00:36:38,080 --> 00:36:43,319 Speaker 15: for oil changes, we pay for our houses to be improved, remodeled, 716 00:36:43,360 --> 00:36:47,400 Speaker 15: and restored, but we don't spend money on our bodies, 717 00:36:47,400 --> 00:36:50,680 Speaker 15: Like it doesn't make sense to me to maintain our body. 718 00:36:50,719 --> 00:36:54,360 Speaker 15: There's a cost and our bodies are the most important 719 00:36:54,400 --> 00:36:56,120 Speaker 15: thing that we have. They're more important than our house. 720 00:36:56,160 --> 00:36:58,399 Speaker 15: We can fix our houses. They're more important than our cars. 721 00:36:58,400 --> 00:37:00,600 Speaker 15: We can fix our cars. But if if your body 722 00:37:00,640 --> 00:37:04,719 Speaker 15: falls too far down the health spiral, sometimes it's hard 723 00:37:04,719 --> 00:37:07,000 Speaker 15: to fix. So it's important to maintain. 724 00:37:07,520 --> 00:37:10,680 Speaker 14: And can you speak a little bit to these more 725 00:37:10,840 --> 00:37:16,080 Speaker 14: functional integrative doctors versus conventional medicine and why conventional medicine 726 00:37:16,120 --> 00:37:19,120 Speaker 14: is missing so much and why it is important to 727 00:37:19,160 --> 00:37:22,439 Speaker 14: potentially move things around financially and prioritize going to see 728 00:37:22,440 --> 00:37:23,960 Speaker 14: these alternative health professionals. 729 00:37:24,200 --> 00:37:25,160 Speaker 7: Yeah, and I wish a lot. 730 00:37:25,239 --> 00:37:27,200 Speaker 15: I wish more of them were able to take insurance, 731 00:37:27,239 --> 00:37:29,840 Speaker 15: but I get it, like it's not a fun process, 732 00:37:30,320 --> 00:37:33,239 Speaker 15: and I like, I know so many incredible doctors. I'm 733 00:37:33,239 --> 00:37:35,440 Speaker 15: going to just say that I know so many incredible 734 00:37:36,239 --> 00:37:40,680 Speaker 15: regular conventional practitioners, surgeons, you name it, that really are 735 00:37:40,800 --> 00:37:44,239 Speaker 15: kind of thinking outside the box from what they were 736 00:37:44,320 --> 00:37:46,479 Speaker 15: educated on. So when you go to the regular doctor, 737 00:37:46,480 --> 00:37:48,040 Speaker 15: they're going to make you do step one to do 738 00:37:48,080 --> 00:37:50,680 Speaker 15: step two. And most of these are treating symptoms, like 739 00:37:50,719 --> 00:37:53,480 Speaker 15: for instance, with somebody with IBS. IBS is a symptom, 740 00:37:53,560 --> 00:37:56,080 Speaker 15: not a condition, right, And so a lot of times 741 00:37:56,120 --> 00:37:57,720 Speaker 15: you go to the doctor, they say you have IDs, 742 00:37:57,719 --> 00:37:59,720 Speaker 15: and they give you medicine for it, and it really 743 00:37:59,760 --> 00:38:01,840 Speaker 15: just treats the symptom of the condition and not the 744 00:38:01,880 --> 00:38:06,560 Speaker 15: condition itself. Whereas integrative practitioners, functional practitioners, root cause practitioners, 745 00:38:06,560 --> 00:38:10,000 Speaker 15: we're looking for what caused the ibs, what is stressing 746 00:38:10,040 --> 00:38:12,239 Speaker 15: out the gut. A lot of times this doesn't work 747 00:38:12,239 --> 00:38:14,920 Speaker 15: in insurance because, like I said, with insurance, you have 748 00:38:15,000 --> 00:38:17,400 Speaker 15: to do A to do B for instance, like you 749 00:38:17,480 --> 00:38:19,839 Speaker 15: have to for somebody who type two diabetes, you have 750 00:38:19,920 --> 00:38:23,000 Speaker 15: to take met Foreman in order to get a GOLP one, 751 00:38:23,520 --> 00:38:25,920 Speaker 15: you know, and so like there's this process where you 752 00:38:25,960 --> 00:38:28,480 Speaker 15: can kind of bypass the process, get to the root 753 00:38:28,480 --> 00:38:31,920 Speaker 15: of it a lot faster, sometimes with way less stress 754 00:38:31,920 --> 00:38:32,360 Speaker 15: and money. 755 00:38:32,640 --> 00:38:34,200 Speaker 7: If you can believe that, if you can. 756 00:38:34,080 --> 00:38:38,240 Speaker 15: Put you know, that forward thinking to healing the body 757 00:38:38,400 --> 00:38:46,200 Speaker 15: rather than just treating the symptoms. 758 00:38:47,160 --> 00:38:49,560 Speaker 1: Welcome back to turning point tonight. We're together. We are 759 00:38:49,640 --> 00:38:52,440 Speaker 1: charting the course of America's cultural comeback. You can email 760 00:38:52,440 --> 00:38:54,719 Speaker 1: the show anytime you want tpt at tpusa dot com. 761 00:38:54,719 --> 00:38:56,399 Speaker 1: You can email whether you grew with everything we say 762 00:38:56,719 --> 00:38:58,760 Speaker 1: or you're wrong We love seeing all of your emails. 763 00:38:59,080 --> 00:39:02,080 Speaker 1: So many of you sent me this video across all 764 00:39:02,120 --> 00:39:06,919 Speaker 1: of the different social media platforms Instagram, Facebook, x, all 765 00:39:06,960 --> 00:39:08,920 Speaker 1: of them. I got this video sent to me probably 766 00:39:09,000 --> 00:39:14,000 Speaker 1: fifteen times. This is amazing. They're so excited that this 767 00:39:14,040 --> 00:39:18,520 Speaker 1: is happening. Freaking finally, yes, play the video. 768 00:39:19,360 --> 00:39:28,080 Speaker 16: My school, my state banned the phones. Ban the phones. Today. 769 00:39:29,480 --> 00:39:33,959 Speaker 16: All of my students, one hundred percent of them, took 770 00:39:34,040 --> 00:39:39,520 Speaker 16: notes in my class, did their assignment, asked for help 771 00:39:39,760 --> 00:39:44,600 Speaker 16: when they got stuck, and turned it in, and then 772 00:39:44,680 --> 00:39:49,520 Speaker 16: when they were done, they talked to each other. 773 00:39:53,239 --> 00:39:56,200 Speaker 13: Was it this easy the whole time? 774 00:39:57,960 --> 00:39:59,480 Speaker 6: Have we have. 775 00:40:01,120 --> 00:40:05,520 Speaker 13: I have been pulling my hair out for like eight years? 776 00:40:06,200 --> 00:40:12,360 Speaker 13: Has it been this easy of a solution the whole time? I? 777 00:40:12,719 --> 00:40:16,720 Speaker 1: Sure as heck hope. So holy cow. Now it's actually 778 00:40:16,840 --> 00:40:19,520 Speaker 1: really interesting to kind of see the demographic breakups of this. 779 00:40:19,640 --> 00:40:22,240 Speaker 1: But first things first, Yeah, it seems like a pretty 780 00:40:22,239 --> 00:40:25,560 Speaker 1: clear and obvious solution. Does it fix all of the problems? No, 781 00:40:25,680 --> 00:40:28,000 Speaker 1: you still have problems at home, you still have parenting issues. 782 00:40:28,320 --> 00:40:30,399 Speaker 1: There's a bunch of different things that can go wrong 783 00:40:30,440 --> 00:40:32,760 Speaker 1: and will go wrong continually in the school. But getting 784 00:40:32,800 --> 00:40:37,360 Speaker 1: the phones freaking out of the classroom is of course 785 00:40:37,520 --> 00:40:39,680 Speaker 1: that makes sense. I wasn't old enough to grow up 786 00:40:40,120 --> 00:40:41,759 Speaker 1: or sorry, young enough to grow up in a school 787 00:40:41,800 --> 00:40:43,920 Speaker 1: that had smart phones. People weren't on social media when 788 00:40:43,960 --> 00:40:46,080 Speaker 1: I was in high school. But holy cow, you look 789 00:40:46,120 --> 00:40:49,080 Speaker 1: inside the classrooms today and it is just total and 790 00:40:49,320 --> 00:40:54,040 Speaker 1: utter chaos. Mentally speaking, I mean, obviously there's behavioral issues, 791 00:40:54,080 --> 00:40:58,120 Speaker 1: but holy cow, kids without phones obviously are going to 792 00:40:58,160 --> 00:41:00,719 Speaker 1: be in a much better position. What's in about this? 793 00:41:01,120 --> 00:41:03,840 Speaker 1: So far, about twenty six states have either banned or 794 00:41:03,880 --> 00:41:07,839 Speaker 1: limited phones through k through twelve. The breakdown of this 795 00:41:07,920 --> 00:41:11,319 Speaker 1: is fascinating. Seventeen of those states would be considered conservatives. 796 00:41:11,440 --> 00:41:13,920 Speaker 1: Six would be toss ups, which I honestly think are 797 00:41:13,920 --> 00:41:17,680 Speaker 1: conservatives states like Arizona. They're clearly conservative states, but currently 798 00:41:17,719 --> 00:41:21,080 Speaker 1: happen to have Libs in power, and only three of 799 00:41:21,120 --> 00:41:25,480 Speaker 1: them were outright lib states. In other words, the driving 800 00:41:25,560 --> 00:41:29,120 Speaker 1: force behind this are conservative states. Conservative states are leading 801 00:41:29,200 --> 00:41:32,400 Speaker 1: the way. Libs in those conservative states are mad for 802 00:41:32,440 --> 00:41:35,080 Speaker 1: some reason. My kids can't text me during the school day. 803 00:41:35,200 --> 00:41:37,480 Speaker 1: Why are your kids texting you to their school day? Anyway? 804 00:41:37,800 --> 00:41:40,280 Speaker 1: But I think this is great news. I think conservative 805 00:41:40,280 --> 00:41:43,400 Speaker 1: states should be leading the charge on this that makes 806 00:41:43,440 --> 00:41:46,560 Speaker 1: the most sense. Get the phones out of the freaking classrooms. 807 00:41:46,840 --> 00:41:48,879 Speaker 1: And I say this too as a guy who makes 808 00:41:48,880 --> 00:41:51,439 Speaker 1: a living with people watching their phones. I think there's 809 00:41:51,480 --> 00:41:54,400 Speaker 1: a certain amount of it that is necessary, and then 810 00:41:54,440 --> 00:41:55,839 Speaker 1: you got to get rid of it. You can't have 811 00:41:55,880 --> 00:41:58,000 Speaker 1: the phone in front of your face all day, every day. 812 00:41:58,080 --> 00:42:01,160 Speaker 1: I do that myself. My family try to limit screen 813 00:42:01,239 --> 00:42:04,040 Speaker 1: uses it as much as humanly possible. Our two year 814 00:42:04,040 --> 00:42:06,120 Speaker 1: old daughter doesn't even know what a TV or a 815 00:42:06,160 --> 00:42:08,799 Speaker 1: movie is. But that's again beside the point. Get the 816 00:42:08,840 --> 00:42:12,040 Speaker 1: phones out of the classroom. Uh, glad to see that's 817 00:42:12,080 --> 00:42:13,279 Speaker 1: working out. That's going to do it for us here 818 00:42:13,280 --> 00:42:15,120 Speaker 1: at turning points. And I really appreciate you sticking around 819 00:42:15,120 --> 00:42:16,839 Speaker 1: tuning in. Charlie Kirk is going to take us out. 820 00:42:16,840 --> 00:42:19,000 Speaker 1: We will see you tomorrow, same time saying place God 821 00:42:19,120 --> 00:42:26,640 Speaker 1: bless America. 822 00:42:26,880 --> 00:42:29,200 Speaker 10: Tire government is going after Russell. I hope you guys 823 00:42:29,239 --> 00:42:31,279 Speaker 10: know that, and it's exulstate. 824 00:42:31,640 --> 00:42:31,879 Speaker 17: Yes. 825 00:42:32,480 --> 00:42:35,399 Speaker 10: But so Russell, how has that played into your walk 826 00:42:35,400 --> 00:42:37,680 Speaker 10: with Jesus? Is it fair to say and think I'll 827 00:42:37,760 --> 00:42:41,000 Speaker 10: just I mean, I don't mean to be offensive or provocative, 828 00:42:41,040 --> 00:42:44,880 Speaker 10: but that you were like brought to Christ because things 829 00:42:45,000 --> 00:42:48,040 Speaker 10: started to go rather negative, like you were like things 830 00:42:48,040 --> 00:42:51,839 Speaker 10: started to fall apart, and you realize that you had 831 00:42:51,840 --> 00:42:53,400 Speaker 10: to surrender in front of the cross. 832 00:42:53,600 --> 00:42:56,240 Speaker 17: Yeah, that's sort of a pretty simple way putting it, Charlie. 833 00:42:57,120 --> 00:43:02,239 Speaker 10: Thank you good. But so you're you're under attack from 834 00:43:02,239 --> 00:43:05,520 Speaker 10: the UK government and I think completely fake stuff. And 835 00:43:05,840 --> 00:43:08,000 Speaker 10: that's what by the way, that's what they do Russell. 836 00:43:08,080 --> 00:43:10,920 Speaker 10: They're going after Russell because he was so effective and 837 00:43:11,080 --> 00:43:15,560 Speaker 10: vocal during COVID and he was against the entire COVID narrative. Right, 838 00:43:15,640 --> 00:43:17,920 Speaker 10: you were against lockdowns and you were against all that stuff, 839 00:43:18,400 --> 00:43:22,160 Speaker 10: and your lawfare started simultaneously with all of that. Is 840 00:43:22,239 --> 00:43:22,680 Speaker 10: that correct? 841 00:43:23,200 --> 00:43:24,719 Speaker 17: It was so No, it was a little later, but 842 00:43:24,760 --> 00:43:26,160 Speaker 17: I knew that was. It's been revealed that I was 843 00:43:26,239 --> 00:43:29,239 Speaker 17: under observation from groups like Logically AI and CRISP, who 844 00:43:29,320 --> 00:43:33,040 Speaker 17: are sort of online organizations that often work with either 845 00:43:33,080 --> 00:43:35,399 Speaker 17: government agencies or government carve outs. You're aware of things 846 00:43:35,480 --> 00:43:39,479 Speaker 17: like the Atlantic Group and various organizations that were funded 847 00:43:39,520 --> 00:43:43,719 Speaker 17: by USAID or other CIA carve out organizations. What it 848 00:43:43,800 --> 00:43:47,160 Speaker 17: seems to have taken place is I provided a lot 849 00:43:47,160 --> 00:43:49,600 Speaker 17: of raw material by living like an imbecile for a long, 850 00:43:49,640 --> 00:43:52,440 Speaker 17: long while in a way that is not in at 851 00:43:52,480 --> 00:43:54,279 Speaker 17: all in accordance with the way that I've lived as 852 00:43:54,280 --> 00:43:56,400 Speaker 17: a married man for the last eight years ninety ars 853 00:43:56,440 --> 00:43:57,960 Speaker 17: ten years. God, that's not going to look good for 854 00:43:58,000 --> 00:43:59,560 Speaker 17: my wife. Hold on, let me do some quick maps. 855 00:44:00,440 --> 00:44:02,800 Speaker 17: Have carried the worms? Reserve? When's that baby? 856 00:44:03,480 --> 00:44:06,280 Speaker 1: Oh no, out of wedlock? Sorry lord, eight years. 857 00:44:06,120 --> 00:44:07,920 Speaker 17: But with a night with my daughter will be nine 858 00:44:07,920 --> 00:44:12,000 Speaker 17: on at her next birthday. Like while I was single 859 00:44:12,080 --> 00:44:15,400 Speaker 17: and young, I live very promiscuously, promiscuously, and when you 860 00:44:15,560 --> 00:44:18,440 Speaker 17: live like that, I can see that it causes harm. 861 00:44:18,680 --> 00:44:23,319 Speaker 17: To be selfish in your sexual conduct is essentially exploitative. 862 00:44:23,600 --> 00:44:25,720 Speaker 17: But there's in my view, a world of difference between 863 00:44:25,760 --> 00:44:28,520 Speaker 17: that and forcing people to do things against their will. 864 00:44:28,640 --> 00:44:32,560 Speaker 17: That is a very very clear and atrocious crime. What 865 00:44:32,680 --> 00:44:36,320 Speaker 17: I believe happened is that due to the popularity of 866 00:44:36,400 --> 00:44:38,200 Speaker 17: much of the broadcasting that was taking place at that 867 00:44:38,280 --> 00:44:40,560 Speaker 17: part time, which happened sort of really organically and almost 868 00:44:40,760 --> 00:44:44,640 Speaker 17: Charlie Kirk as a quirk of the technological advancements of 869 00:44:44,680 --> 00:44:47,640 Speaker 17: that time, like you could exist outside of centralized media, 870 00:44:48,000 --> 00:44:50,640 Speaker 17: and just as I was doing on YouTube, quickly garner 871 00:44:50,719 --> 00:44:53,360 Speaker 17: a following of millions. We were talking every day about 872 00:44:53,480 --> 00:44:56,800 Speaker 17: Pfizer's lack of clinical trials and Maderna's relationship with the government, 873 00:44:56,840 --> 00:44:59,680 Speaker 17: the inability to prove the efficacy of those medicines, the 874 00:45:00,239 --> 00:45:04,160 Speaker 17: likelihood that the COVID vaccine excuse me, COVID virus originated 875 00:45:04,200 --> 00:45:07,920 Speaker 17: in a laboratory. There's peculiar funding relationships between Darker and COVID, 876 00:45:07,920 --> 00:45:10,920 Speaker 17: Anthony Fauci's deception, his peculiar visits with the CIA, his 877 00:45:11,000 --> 00:45:14,279 Speaker 17: relationships with Mark Zuckerberg Facebook, all sorts of stuff that 878 00:45:14,360 --> 00:45:16,040 Speaker 17: was available, and Charlie would have been reporting on the 879 00:45:16,040 --> 00:45:18,319 Speaker 17: same stuff, and certainly Joe Rogan was. I was talking 880 00:45:18,360 --> 00:45:20,200 Speaker 17: about those kind of things using a variety of articles 881 00:45:20,239 --> 00:45:23,399 Speaker 17: from people like Matt Taibe and Michael Schellenberger, bringing together 882 00:45:23,520 --> 00:45:25,680 Speaker 17: sort of narratives. But I think hopefully we were able 883 00:45:25,719 --> 00:45:27,560 Speaker 17: to speak about it in a manner that was sort 884 00:45:27,600 --> 00:45:31,240 Speaker 17: of funny. For example, one of the Maderna booster shots 885 00:45:31,440 --> 00:45:34,040 Speaker 17: was only ever tested on eight mouses, and I would 886 00:45:34,120 --> 00:45:36,080 Speaker 17: like say, you can't give a whole population a booster 887 00:45:36,200 --> 00:45:38,160 Speaker 17: on the basis of something that's only been given to 888 00:45:38,239 --> 00:45:40,080 Speaker 17: eight mouses. And all the while I'm aware that people 889 00:45:40,120 --> 00:45:43,080 Speaker 17: are going but the plural for mouse mouse is mice, 890 00:45:43,680 --> 00:45:46,560 Speaker 17: and had little tricks like that help information to land 891 00:45:46,600 --> 00:45:49,080 Speaker 17: with the most important part of the state, absolutely vital 892 00:45:49,239 --> 00:45:52,360 Speaker 17: focus on the pluralization of the word mauth good grammar, 893 00:45:52,480 --> 00:45:56,839 Speaker 17: mass without grammar. Where there's no point in being vaccinated, 894 00:45:57,000 --> 00:45:59,960 Speaker 17: there's no point in surviving. Also, I hope that was observed. 895 00:46:00,280 --> 00:46:03,920 Speaker 17: The unspoken narrative of COVID is this, check it out. 896 00:46:04,480 --> 00:46:08,240 Speaker 17: Life is so sacred and each of us so precious, 897 00:46:08,560 --> 00:46:11,120 Speaker 17: the most vulnerable, no matter who you are, awhere you're from, 898 00:46:11,480 --> 00:46:14,200 Speaker 17: life is a sacred gift from God. Therefore, if there's 899 00:46:14,200 --> 00:46:16,680 Speaker 17: a virus that's a threat to anybody, we must all 900 00:46:16,760 --> 00:46:19,080 Speaker 17: be locked in our homes. We must all wear masks, 901 00:46:19,160 --> 00:46:21,640 Speaker 17: we must all obey these edicts, and if necessary, we 902 00:46:21,719 --> 00:46:23,920 Speaker 17: must take these vaccines. And if you don't, you are 903 00:46:24,000 --> 00:46:26,719 Speaker 17: lacking in compassion. You don't care about others. The entire 904 00:46:26,880 --> 00:46:29,759 Speaker 17: premise is erroneous, because where else do we see our 905 00:46:29,840 --> 00:46:32,880 Speaker 17: culture behaving as if life is sacred, is if we 906 00:46:33,000 --> 00:46:36,080 Speaker 17: must sacrifice ourselves for one another. Indeed, don't they mock 907 00:46:36,200 --> 00:46:38,719 Speaker 17: those very values. Don't they mock our savior? Don't they 908 00:46:38,880 --> 00:46:41,160 Speaker 17: mock our church? Don't they laugh at the idea that 909 00:46:41,239 --> 00:46:44,680 Speaker 17: there's something more valuable than the fulfillment of self and 910 00:46:44,719 --> 00:46:47,399 Speaker 17: the adornment of self. Anyway, So during COVID I talked 911 00:46:47,440 --> 00:46:50,359 Speaker 17: about it a lot. I was pretty loquacious and pretty 912 00:46:50,440 --> 00:46:52,960 Speaker 17: NonStop about it. The videos were doing well. I was 913 00:46:53,080 --> 00:46:55,040 Speaker 17: enjoying it, and I'm a kind of a naturally anti 914 00:46:55,120 --> 00:46:59,319 Speaker 17: establishment person. I suppose I didn't take the vaccine because 915 00:46:59,360 --> 00:47:01,719 Speaker 17: I don't like being told what to do. I didn't 916 00:47:01,760 --> 00:47:04,279 Speaker 17: take it because they were telling me. In fact, if 917 00:47:04,280 --> 00:47:06,600 Speaker 17: they wanted me to take that vaccine, all they would 918 00:47:06,600 --> 00:47:08,480 Speaker 17: have had to have done is leave a couple of 919 00:47:08,560 --> 00:47:11,440 Speaker 17: syringes in my bedroom and tell me, under no circumstances, 920 00:47:13,560 --> 00:47:16,480 Speaker 17: do not touch that, no matter what. It doesn't matter 921 00:47:16,520 --> 00:47:19,959 Speaker 17: who coughs or however quietly in whichever grocery store, don't 922 00:47:19,960 --> 00:47:22,239 Speaker 17: take those. Oh you've already taken them, sir. I have 923 00:47:22,400 --> 00:47:25,120 Speaker 17: taken twenty or thirty vaccines. I don't like being told 924 00:47:25,120 --> 00:47:27,360 Speaker 17: what to do. In this way, I am closer to 925 00:47:27,440 --> 00:47:29,680 Speaker 17: the native mentality of the people of your nation than 926 00:47:29,719 --> 00:47:31,919 Speaker 17: my own. Because over in the UK, people as seemed 927 00:47:31,960 --> 00:47:35,840 Speaker 17: to have happily tumbled into redublish media. In the unbelievable obedience. 928 00:47:35,840 --> 00:47:38,040 Speaker 17: I saw some of your appearances there on GB News 929 00:47:38,120 --> 00:47:40,720 Speaker 17: and your debates there, and I thought you conducted yourself 930 00:47:40,840 --> 00:47:44,160 Speaker 17: marvelously as always. But I am, like you, concerned about 931 00:47:44,239 --> 00:47:47,239 Speaker 17: what's happening in the United Kingdom, and however you want 932 00:47:47,280 --> 00:47:49,160 Speaker 17: to carve that up from the left or from the right, 933 00:47:49,280 --> 00:47:53,000 Speaker 17: from a materialist, rationalistic, apheistic or Christian perspective. Is a 934 00:47:53,080 --> 00:47:55,840 Speaker 17: country that is in very real danger of falling. 935 00:47:56,360 --> 00:47:58,560 Speaker 10: It is, and so so Russell, you brought something and 936 00:47:58,600 --> 00:48:00,200 Speaker 10: I want to isolate it. You said you don't like 937 00:48:00,280 --> 00:48:02,279 Speaker 10: being told what to do. That makes it even more 938 00:48:02,960 --> 00:48:06,880 Speaker 10: incredible that you submitted to Jesus Christ and submitted to scripture. 939 00:48:07,280 --> 00:48:12,320 Speaker 10: M Yeah, because that that that's that, that's a surface contradiction. 940 00:48:12,480 --> 00:48:13,920 Speaker 10: So yes, why has through that? 941 00:48:14,040 --> 00:48:14,160 Speaker 12: Well? 942 00:48:14,200 --> 00:48:15,720 Speaker 17: I think that might have been one of the initial 943 00:48:15,760 --> 00:48:19,160 Speaker 17: obstacles because there's this sort of in pantheonism and paganism, 944 00:48:19,239 --> 00:48:22,759 Speaker 17: there's this aggrandizement or acceptance and celebration of what you 945 00:48:22,840 --> 00:48:25,880 Speaker 17: might call the humors or the inner deities, your warlike aspect, 946 00:48:26,239 --> 00:48:30,359 Speaker 17: your actually the aphrodite aspect, your sensuality, all of these 947 00:48:30,400 --> 00:48:33,080 Speaker 17: things can be revered. And I didn't want to submit 948 00:48:33,200 --> 00:48:34,920 Speaker 17: to Christ. I didn't want to surrender Christ. And if 949 00:48:34,960 --> 00:48:37,040 Speaker 17: I'm entirely honest, Charlie, there are some days still where 950 00:48:37,080 --> 00:48:39,520 Speaker 17: I don't want to bow down in total submission and 951 00:48:39,560 --> 00:48:40,880 Speaker 17: surrender and recognize that my. 952 00:48:41,040 --> 00:48:42,319 Speaker 3: Self will is my beat. 953 00:48:43,160 --> 00:48:44,000 Speaker 10: That's exactly right. 954 00:48:44,239 --> 00:48:48,319 Speaker 17: The flesh, the world, and the and the mentality. I'm 955 00:48:48,400 --> 00:48:51,680 Speaker 17: continually caught in a loop of fallibility around these things. 956 00:48:52,160 --> 00:48:54,920 Speaker 17: But I can't believe that it's. 957 00:48:54,840 --> 00:48:55,560 Speaker 16: All in scripture. 958 00:48:55,600 --> 00:48:56,880 Speaker 17: It's all in the world. But it was like the 959 00:48:56,920 --> 00:49:00,840 Speaker 17: Scripture coming to life somehow, like I felt like is finished, 960 00:49:00,960 --> 00:49:03,920 Speaker 17: it is done his words on the Cross. I felt 961 00:49:04,120 --> 00:49:07,840 Speaker 17: the compassion that it is available through the love of 962 00:49:07,920 --> 00:49:10,759 Speaker 17: his mother, through his forgiveness of us, through his acceptance 963 00:49:10,880 --> 00:49:14,719 Speaker 17: of us. The submission. I do believe the submission to 964 00:49:14,800 --> 00:49:18,680 Speaker 17: a higher good. I believe now humility before honor, before 965 00:49:18,840 --> 00:49:22,360 Speaker 17: the idea of surrender, and still the idea of surrendering 966 00:49:22,440 --> 00:49:26,200 Speaker 17: or accepting any human authority as supreme. I find it 967 00:49:26,360 --> 00:49:27,279 Speaker 17: kind of repulsive. 968 00:49:31,840 --> 00:49:34,719 Speaker 9: Got to admire what you've been able to do, not 969 00:49:34,880 --> 00:49:38,640 Speaker 9: to weaponize, but to organize on these college campuses. 970 00:49:38,520 --> 00:49:41,960 Speaker 10: At Turning Point, USA. We've spent thirteen years building the machine, 971 00:49:42,040 --> 00:49:44,880 Speaker 10: and last year we start payof our grassroots army is 972 00:49:44,920 --> 00:49:45,800 Speaker 10: making a real difference. 973 00:49:46,040 --> 00:49:47,359 Speaker 1: Help us keep the momentum going. 974 00:49:47,600 --> 00:49:51,840 Speaker 10: Donate today and keep tp USA strong on campuses across America. 975 00:49:52,320 --> 00:49:54,440 Speaker 11: And for a gift of any amount, you'll receive your 976 00:49:54,480 --> 00:49:56,759 Speaker 11: big Gov Sucks Cooler claim Yours today