1 00:00:08,200 --> 00:00:10,840 Speaker 1: The ladies' room is for ladies. 2 00:00:11,600 --> 00:00:13,360 Speaker 2: I don't know why that needs to be said, but 3 00:00:13,440 --> 00:00:16,440 Speaker 2: in the modern culture, apparently it needs to be reiterated 4 00:00:16,520 --> 00:00:19,720 Speaker 2: over and over and over again. The new Seattle mayor 5 00:00:20,160 --> 00:00:24,880 Speaker 2: wants to force private businesses to stay open even if 6 00:00:24,920 --> 00:00:27,320 Speaker 2: they want to close. I'm not entirely sure how that works. 7 00:00:27,320 --> 00:00:31,960 Speaker 2: And how many young women want to leave the country permanently. 8 00:00:32,080 --> 00:00:34,360 Speaker 2: The number will shock you all that more. Coming up 9 00:00:34,400 --> 00:00:36,199 Speaker 2: on this episode of Turning Points Tonight, my name is 10 00:00:36,240 --> 00:00:38,159 Speaker 2: job Bob. Thanks so much for tuning in. Together, we 11 00:00:38,200 --> 00:00:41,400 Speaker 2: are charting the course of America's cultural comeback, generally speaking 12 00:00:41,400 --> 00:00:44,160 Speaker 2: through the bockray of terrible lib ideas. This is Turning 13 00:00:44,200 --> 00:00:46,480 Speaker 2: Point Tonight. As always, you can email the show anytime 14 00:00:46,520 --> 00:00:50,080 Speaker 2: you want. TPT at tpusa dot com the email address 15 00:00:50,159 --> 00:00:52,159 Speaker 2: that you can send all of your thoughts, comments, concerns, 16 00:00:52,400 --> 00:00:55,200 Speaker 2: even criticisms. It's okay to be wrong in our inbox 17 00:00:55,280 --> 00:00:58,120 Speaker 2: TPT at tpusa dot com. You should also go subscribe 18 00:00:58,160 --> 00:01:01,480 Speaker 2: to our YouTube channel, where we get exclusive content. You're 19 00:01:01,480 --> 00:01:03,280 Speaker 2: not seen on this show because we don't have enough 20 00:01:03,320 --> 00:01:06,319 Speaker 2: time to fit in all the thoughts today. If you 21 00:01:06,319 --> 00:01:09,200 Speaker 2: go subscribe to our YouTube channel, you'll find an interesting 22 00:01:09,280 --> 00:01:12,640 Speaker 2: airport experience that I had yesterday while flying back from Phoenix. 23 00:01:12,680 --> 00:01:16,759 Speaker 2: But YouTube turning point tonight and find all of that content, 24 00:01:16,800 --> 00:01:18,200 Speaker 2: including all the segments. 25 00:01:17,840 --> 00:01:18,400 Speaker 1: That air here. 26 00:01:19,040 --> 00:01:23,360 Speaker 2: Interestingly enough, except for this one. Because YouTube has some 27 00:01:23,680 --> 00:01:26,640 Speaker 2: pretty crazy rules regarding what can and cannot go on 28 00:01:26,680 --> 00:01:29,440 Speaker 2: the platform, this will be stricken from the record and 29 00:01:29,640 --> 00:01:33,319 Speaker 2: only viewable here on Real America's Voice or you find 30 00:01:33,360 --> 00:01:36,399 Speaker 2: Folks producer Glenn's in the background going, oh boy, here 31 00:01:36,480 --> 00:01:40,320 Speaker 2: we go again. Yes, we are talking about the trans folks. 32 00:01:41,640 --> 00:01:44,320 Speaker 2: There's a really interesting story that has been brewing and 33 00:01:44,440 --> 00:01:47,440 Speaker 2: is I feel like, come to its culmination here, specifically 34 00:01:47,480 --> 00:01:51,960 Speaker 2: around one particular legislator in the state of California who 35 00:01:52,080 --> 00:01:54,160 Speaker 2: is bats crazy. 36 00:01:54,440 --> 00:01:56,600 Speaker 1: But I guess that doesn't need to be said. 37 00:01:56,600 --> 00:01:59,920 Speaker 2: It's a legislator in California, so usually they're a lib 38 00:02:00,080 --> 00:02:02,960 Speaker 2: and you can kind of confirm the fact that they're 39 00:02:02,960 --> 00:02:06,240 Speaker 2: bad as crazy just by those characteristics as a whole. 40 00:02:06,520 --> 00:02:07,600 Speaker 1: But just to set this. 41 00:02:07,680 --> 00:02:10,080 Speaker 2: Up, there was a video floating around earlier in the 42 00:02:10,160 --> 00:02:13,080 Speaker 2: week about a woman who was at a Gold's gym 43 00:02:13,320 --> 00:02:16,480 Speaker 2: changing in a locker room when a dude who identifies 44 00:02:16,520 --> 00:02:19,360 Speaker 2: as a woman also came into that locker room. You 45 00:02:19,400 --> 00:02:21,240 Speaker 2: may have seen the video floating around on a bunch 46 00:02:21,280 --> 00:02:24,200 Speaker 2: of the different shows. I don't want to beat you 47 00:02:24,240 --> 00:02:27,959 Speaker 2: to death with it, but that's effectively what happened. Now, 48 00:02:28,080 --> 00:02:31,400 Speaker 2: this woman was then banned from coming to Gold's gym 49 00:02:31,520 --> 00:02:34,560 Speaker 2: in that area and has since gone on talking to 50 00:02:34,639 --> 00:02:38,640 Speaker 2: a bunch of people about her experience. Here's the kicker. 51 00:02:39,000 --> 00:02:43,000 Speaker 2: We're gonna get into some whole intersectionality and how ridiculous 52 00:02:43,040 --> 00:02:45,480 Speaker 2: it is, but the broad strokes of it is it 53 00:02:45,520 --> 00:02:47,639 Speaker 2: happens to be a black woman, and not only that, 54 00:02:47,880 --> 00:02:52,080 Speaker 2: a black woman lesbian who is mad about the dude 55 00:02:52,360 --> 00:02:55,080 Speaker 2: changing in the locker room with her. Now, she went 56 00:02:55,240 --> 00:02:59,320 Speaker 2: to northern California to ask a sitting state senator, one 57 00:02:59,400 --> 00:03:03,520 Speaker 2: responsible for some crazy things that will get into in 58 00:03:03,800 --> 00:03:06,720 Speaker 2: just a second. But I want to play with that setup. 59 00:03:06,880 --> 00:03:09,160 Speaker 2: I want to play you the opening clip here of 60 00:03:09,240 --> 00:03:13,640 Speaker 2: this woman who was banned from Gold's gym for saying, Hey, 61 00:03:13,800 --> 00:03:17,080 Speaker 2: I don't want dudes in our locker rooms. 62 00:03:17,120 --> 00:03:19,880 Speaker 1: This isn't all that crazy. Play this cut for. 63 00:03:20,520 --> 00:03:23,640 Speaker 3: Senator Wayna as the only black lesbian here, can please 64 00:03:23,680 --> 00:03:24,360 Speaker 3: ask you a question? 65 00:03:24,400 --> 00:03:25,640 Speaker 1: Because I flew here to do that. 66 00:03:25,760 --> 00:03:26,920 Speaker 4: Yeah, okay. 67 00:03:28,280 --> 00:03:31,240 Speaker 3: As a lesbian woman who was attacked in the woman's 68 00:03:31,240 --> 00:03:34,079 Speaker 3: locker room at Gold's gym this week by a self 69 00:03:34,120 --> 00:03:38,840 Speaker 3: identifying trans women with the documenting history of domestic violence, 70 00:03:39,080 --> 00:03:43,160 Speaker 3: I'm deeply concerned about women's safety and female only spaces. 71 00:03:43,440 --> 00:03:46,400 Speaker 3: What would you say to women who are seeking assurance 72 00:03:46,720 --> 00:03:50,000 Speaker 3: that their safety will be protected from men who, by 73 00:03:50,040 --> 00:03:54,880 Speaker 3: California law, can self idea as women in women only spaces? 74 00:03:54,880 --> 00:03:56,400 Speaker 5: Sir, please tell me. 75 00:03:57,160 --> 00:04:00,280 Speaker 4: Yeah, so we want I mean everyone to be state 76 00:04:01,240 --> 00:04:05,240 Speaker 4: and we also know that, you know, we have trans people, 77 00:04:05,320 --> 00:04:10,640 Speaker 4: both men and women, who are men and women, and 78 00:04:10,720 --> 00:04:15,760 Speaker 4: so you know we so if you're trans, women are 79 00:04:15,800 --> 00:04:17,600 Speaker 4: women now. 80 00:04:17,640 --> 00:04:24,520 Speaker 2: That is State Senator Scott Wiener again named Scott Wiener, saying, well, 81 00:04:24,560 --> 00:04:27,039 Speaker 2: you know it's a trans women are are women, so 82 00:04:27,200 --> 00:04:30,919 Speaker 2: there's really no potential issue there. But the lady in 83 00:04:31,000 --> 00:04:34,360 Speaker 2: question was talking about a dude who goes by the 84 00:04:34,440 --> 00:04:38,120 Speaker 2: name Alexis Black, who had been accused of brutally beating 85 00:04:38,160 --> 00:04:43,680 Speaker 2: his ex wife before transitioning to quote unquote become a woman. Now, 86 00:04:43,920 --> 00:04:47,120 Speaker 2: the state senator that she's talking to has a long 87 00:04:47,320 --> 00:04:53,360 Speaker 2: list of very very disturbing policy proposals and is the 88 00:04:53,440 --> 00:04:57,920 Speaker 2: main driver behind one of California's, in my opinion, most 89 00:04:58,160 --> 00:05:01,719 Speaker 2: disturbing laws. In twenty twenty two, he was the guy 90 00:05:01,800 --> 00:05:07,120 Speaker 2: behind SB one oh seven, dubbed the Transgender Sanctuary State Bill, 91 00:05:07,400 --> 00:05:13,760 Speaker 2: which prohibited California courts from enforcing other states subpoenas, arrest warrants, 92 00:05:13,839 --> 00:05:18,280 Speaker 2: or custody orders targeting gender affirming care. Now, to put 93 00:05:18,279 --> 00:05:23,320 Speaker 2: that in Layman's term, if some deranged parent from let's 94 00:05:23,400 --> 00:05:28,000 Speaker 2: just say Oklahoma, takes their kid across the California state 95 00:05:28,040 --> 00:05:31,120 Speaker 2: line in order to mutilate their genitals, and I know 96 00:05:31,160 --> 00:05:34,000 Speaker 2: I'm being blunt here, but this is exactly what they're 97 00:05:34,040 --> 00:05:39,000 Speaker 2: trying to protect people from. If some deranged parent takes 98 00:05:39,040 --> 00:05:42,440 Speaker 2: their kid, doesn't have full custody of them, or whatever 99 00:05:42,480 --> 00:05:45,080 Speaker 2: the situation is. You know, obviously we'd love for parents 100 00:05:45,080 --> 00:05:46,599 Speaker 2: to grow up or sorry, kids to grow up in 101 00:05:46,600 --> 00:05:48,840 Speaker 2: two parent households. But let's just say it's the mom. 102 00:05:48,960 --> 00:05:51,680 Speaker 2: The mom's a little bit looney Tunes, convinces their son 103 00:05:51,800 --> 00:05:54,320 Speaker 2: that he's actually a girl, and the dad says, no, 104 00:05:54,440 --> 00:05:57,600 Speaker 2: absolutely not. If that mom then takes that kid from 105 00:05:57,640 --> 00:06:03,719 Speaker 2: Oklahoma comes to California, any arrest warrants, any subpoenas, any 106 00:06:03,839 --> 00:06:10,279 Speaker 2: custody orders are completely ignored by the state of California 107 00:06:10,360 --> 00:06:17,159 Speaker 2: because they are protecting trans kids, which is insane. This 108 00:06:17,240 --> 00:06:20,400 Speaker 2: is also why we can't throw this segment on YouTube. 109 00:06:21,360 --> 00:06:24,120 Speaker 2: In addition to a bunch of the other gender bending 110 00:06:24,200 --> 00:06:28,760 Speaker 2: madness nonsense that this guy's pushed, he's also authored the 111 00:06:28,920 --> 00:06:32,760 Speaker 2: banning of ice agents wearing masks, among many other things 112 00:06:32,800 --> 00:06:34,320 Speaker 2: in California. We don't need to have time to go 113 00:06:34,360 --> 00:06:36,560 Speaker 2: through the laundry list of things. The main point is 114 00:06:36,560 --> 00:06:41,719 Speaker 2: that Senator Scott Wiener again Wiener, Senator Wiener is a very, 115 00:06:41,839 --> 00:06:46,440 Speaker 2: very bad and vile individual. Now where it gets really interesting, 116 00:06:46,480 --> 00:06:49,960 Speaker 2: and where the Libs are folding themselves into a pretzel 117 00:06:50,040 --> 00:06:52,919 Speaker 2: trying to figure out who is the most aggrieved to 118 00:06:52,960 --> 00:06:55,960 Speaker 2: this idea of intersectionality, which we'll get to in just 119 00:06:56,000 --> 00:07:00,320 Speaker 2: a quick second. This is how the interaction continued Ford 120 00:07:00,800 --> 00:07:04,479 Speaker 2: with again this woman who was banned from her gym 121 00:07:04,520 --> 00:07:06,560 Speaker 2: for saying, I don't want a dude in our locker room. 122 00:07:07,000 --> 00:07:08,239 Speaker 2: Watch this clip cut five. 123 00:07:08,400 --> 00:07:11,360 Speaker 3: Millions of people behind me watching this right now, and 124 00:07:11,480 --> 00:07:13,800 Speaker 3: we want to know, are you going to protect women 125 00:07:14,160 --> 00:07:15,080 Speaker 3: not trans women? 126 00:07:15,360 --> 00:07:15,680 Speaker 1: Women? 127 00:07:15,920 --> 00:07:16,200 Speaker 5: Women? 128 00:07:16,280 --> 00:07:17,360 Speaker 1: Trans women are different things. 129 00:07:17,440 --> 00:07:20,840 Speaker 6: Women women Listen, we need to protect women's safety. 130 00:07:20,880 --> 00:07:23,640 Speaker 1: I was assault No, they are not. 131 00:07:23,920 --> 00:07:24,440 Speaker 5: They are men. 132 00:07:24,680 --> 00:07:26,520 Speaker 1: I was assaulted by men. 133 00:07:27,160 --> 00:07:30,960 Speaker 6: He broke his wife, so brass, you need to reconstruct this, serge. 134 00:07:31,480 --> 00:07:34,440 Speaker 6: I'm a lesbian. I'm not transphobic because I'm black. So 135 00:07:34,480 --> 00:07:36,360 Speaker 6: if there's another black woman in here don't wants to 136 00:07:36,400 --> 00:07:39,080 Speaker 6: tell me how they feel, please join in. But all 137 00:07:39,120 --> 00:07:40,800 Speaker 6: of you are not and I don't know who you 138 00:07:40,840 --> 00:07:42,840 Speaker 6: are what you are, but I'm a lesbian and I'm 139 00:07:42,840 --> 00:07:45,200 Speaker 6: telling you right now men are harassing women in the 140 00:07:45,240 --> 00:07:45,680 Speaker 6: locker room. 141 00:07:46,600 --> 00:07:47,280 Speaker 5: Aswer the question. 142 00:07:47,800 --> 00:07:49,680 Speaker 6: I'm just telling you since I want to woo woo woo. 143 00:07:50,000 --> 00:07:52,400 Speaker 1: Just now I'm done. And by the way, I respect 144 00:07:52,440 --> 00:07:53,840 Speaker 1: what you have done. I just want to let you 145 00:07:53,880 --> 00:08:01,400 Speaker 1: know that. 146 00:07:59,080 --> 00:08:03,440 Speaker 4: I'm so sorry that were I appreciate you talking about it. 147 00:08:04,400 --> 00:08:07,360 Speaker 4: I think we need to protect the safety women, and 148 00:08:10,080 --> 00:08:16,200 Speaker 4: obviously that's important. Also know that trans women are also 149 00:08:16,920 --> 00:08:18,239 Speaker 4: realized in this country. 150 00:08:18,480 --> 00:08:19,240 Speaker 7: So women and. 151 00:08:20,880 --> 00:08:23,160 Speaker 4: Are realized this country, and we have. 152 00:08:24,840 --> 00:08:28,200 Speaker 2: So let's break this video apart piece by piece. First 153 00:08:28,200 --> 00:08:30,840 Speaker 2: things first, she stands up. Okay, So if you're not 154 00:08:31,200 --> 00:08:34,800 Speaker 2: familiar with intersectionality, it is literally a race to the bottom. 155 00:08:34,840 --> 00:08:37,440 Speaker 2: Who is the most victim of these people. 156 00:08:38,080 --> 00:08:40,199 Speaker 1: I'm a brown person. 157 00:08:40,240 --> 00:08:44,120 Speaker 2: Okay, cool, So now I'm up the totem pole of victimhood. 158 00:08:44,600 --> 00:08:49,000 Speaker 2: Then let's just say a cisgendered white male in the 159 00:08:49,040 --> 00:08:53,320 Speaker 2: eyes of lips. Okay, I am a gay brown personal. 160 00:08:53,400 --> 00:08:55,920 Speaker 2: Go I'm up another level on the totem pole. Here, 161 00:08:56,200 --> 00:08:59,400 Speaker 2: I am a gay, transgender brown person. 162 00:08:59,520 --> 00:09:01,920 Speaker 1: Oh boy, you each interting up the total pool. 163 00:09:02,280 --> 00:09:07,560 Speaker 2: I am a immigrant, gay, transgender brown person. You see 164 00:09:07,559 --> 00:09:09,560 Speaker 2: how all of this stuff is nonsense. But in the 165 00:09:09,640 --> 00:09:13,800 Speaker 2: lib's mind, the person who is the most victim actually 166 00:09:13,880 --> 00:09:18,280 Speaker 2: wins the day. So it's interesting because I can guarantee 167 00:09:18,320 --> 00:09:20,560 Speaker 2: you this lady is not a conservative by any stretch 168 00:09:20,559 --> 00:09:23,720 Speaker 2: of the imagination. And if you notice, she praised Senator 169 00:09:23,760 --> 00:09:29,480 Speaker 2: Wiener again, Senator Wiener on some of his policy issues. 170 00:09:29,520 --> 00:09:33,840 Speaker 2: She was specifically talking about like homelessness and food insecurity, 171 00:09:33,880 --> 00:09:35,560 Speaker 2: and we don't need to get into that, but she 172 00:09:35,559 --> 00:09:37,840 Speaker 2: did like some of the policies that he had. Therefore, 173 00:09:38,240 --> 00:09:40,680 Speaker 2: she's not a conservative by any stretch of the imagination. 174 00:09:40,880 --> 00:09:43,760 Speaker 2: I would really be willing to guess that she probably 175 00:09:43,800 --> 00:09:46,040 Speaker 2: buys into this whole idea of intersectionality. 176 00:09:46,120 --> 00:09:46,559 Speaker 1: So when she. 177 00:09:46,640 --> 00:09:50,120 Speaker 2: Stands up and says, I'm a black woman and I 178 00:09:50,160 --> 00:09:53,480 Speaker 2: am a lesbian. In her head, she probably thinks, well, 179 00:09:53,520 --> 00:09:57,080 Speaker 2: that means I win, I check more boxes than all 180 00:09:57,080 --> 00:09:59,760 Speaker 2: of you people in this room, and therefore whatever I 181 00:09:59,800 --> 00:10:00,720 Speaker 2: say is right. 182 00:10:00,760 --> 00:10:00,960 Speaker 1: Now. 183 00:10:01,040 --> 00:10:03,160 Speaker 2: I don't agree with that, but in this particular case, 184 00:10:03,320 --> 00:10:06,520 Speaker 2: she does happen to be right despite. 185 00:10:06,120 --> 00:10:08,160 Speaker 1: Also checking some of the boxes. 186 00:10:08,760 --> 00:10:11,240 Speaker 2: And that I think is the funniest thing when all 187 00:10:11,320 --> 00:10:14,559 Speaker 2: of those people in that room go, oh no, sheou chia. 188 00:10:15,280 --> 00:10:17,079 Speaker 2: She is a black woman and she is a lesbian. 189 00:10:17,120 --> 00:10:19,160 Speaker 2: So that where where does that put her on the 190 00:10:19,160 --> 00:10:22,000 Speaker 2: totem pole? Well? Trans women, where is that? Is that 191 00:10:22,040 --> 00:10:25,679 Speaker 2: big beggar? And it's all ridiculous. What is right is right, 192 00:10:25,720 --> 00:10:28,479 Speaker 2: and what is wrong is wrong, and what is definitely 193 00:10:28,559 --> 00:10:32,520 Speaker 2: wrong is Scott Wiener's response. Senator Wiener again, that is 194 00:10:32,800 --> 00:10:36,079 Speaker 2: Senator Wiener said something that you might. 195 00:10:35,920 --> 00:10:36,600 Speaker 1: Not have caught. 196 00:10:37,160 --> 00:10:39,400 Speaker 2: He said, well, I want to make sure that we 197 00:10:39,440 --> 00:10:45,520 Speaker 2: are protecting women and cis women now in lib lingo talk, 198 00:10:45,600 --> 00:10:49,560 Speaker 2: if you don't know the terms, uh sis means I 199 00:10:49,559 --> 00:10:52,320 Speaker 2: identify as the gender that I was born as. In 200 00:10:52,360 --> 00:10:56,880 Speaker 2: other words, if you're a woman, you're a woman. And 201 00:10:56,920 --> 00:11:00,640 Speaker 2: what is interesting about that is that nor normal women 202 00:11:01,120 --> 00:11:06,880 Speaker 2: get the qualifier, He said women and CIS women. Does 203 00:11:06,920 --> 00:11:10,280 Speaker 2: that not blow your mind? Does that not like infuriate 204 00:11:10,400 --> 00:11:14,160 Speaker 2: you the fact that this guy is using women as well. Okay, 205 00:11:14,200 --> 00:11:17,120 Speaker 2: so normal women are trans women. The people that are odd, 206 00:11:17,200 --> 00:11:20,280 Speaker 2: the odd ones out, are the CIS women. In other words, 207 00:11:20,520 --> 00:11:23,960 Speaker 2: the normal women. That is where you get if you 208 00:11:24,040 --> 00:11:26,520 Speaker 2: have a lib mind virus, a woke mind virus, as 209 00:11:26,520 --> 00:11:29,160 Speaker 2: Elon has talked about so much that you get to 210 00:11:29,200 --> 00:11:33,440 Speaker 2: the point where you are literally saying the normal people 211 00:11:33,679 --> 00:11:37,360 Speaker 2: have to have the qualifier and the crazy ones do not. 212 00:11:38,160 --> 00:11:41,040 Speaker 2: We don't need to re litigate the idea of trans 213 00:11:41,120 --> 00:11:43,760 Speaker 2: ideology and gender dysphoria and all that sort of stuff 214 00:11:43,800 --> 00:11:45,760 Speaker 2: that has been done over and over and over again. 215 00:11:46,000 --> 00:11:46,439 Speaker 1: But in this. 216 00:11:46,400 --> 00:11:51,440 Speaker 2: Particular situation, it is concerning and also hilarious to me 217 00:11:52,000 --> 00:11:55,679 Speaker 2: that we've got somebody who again probably is not a 218 00:11:55,720 --> 00:11:58,719 Speaker 2: conservative by any stretch of the imagination, but also understands 219 00:11:58,760 --> 00:12:02,319 Speaker 2: reality enough to go, yeah, this is not right, this 220 00:12:02,600 --> 00:12:07,400 Speaker 2: is crazy. Then lives again twisting themselves into pretzels trying 221 00:12:07,400 --> 00:12:10,319 Speaker 2: to figure out okay, shoot, and what are we allowed 222 00:12:10,360 --> 00:12:13,360 Speaker 2: to say and win? She is a black woman, she 223 00:12:13,440 --> 00:12:16,439 Speaker 2: is a lesbian, So where's this all rank? On the 224 00:12:16,440 --> 00:12:17,280 Speaker 2: totem pole. 225 00:12:17,400 --> 00:12:19,480 Speaker 1: Stop. Let's just stop. 226 00:12:19,920 --> 00:12:22,040 Speaker 2: At the end of the day, a woman is a woman, 227 00:12:22,200 --> 00:12:23,960 Speaker 2: and a man is a man, and a man who 228 00:12:24,000 --> 00:12:27,120 Speaker 2: is a man shouldn't be in women's spaces. End of story. 229 00:12:27,520 --> 00:12:31,640 Speaker 2: We're done ridiculous world we're living in, but thankful that 230 00:12:31,679 --> 00:12:34,360 Speaker 2: you are together with us navigating through it to try 231 00:12:34,400 --> 00:12:37,680 Speaker 2: and decipher what is good and true and beautiful and real. 232 00:12:38,200 --> 00:12:40,400 Speaker 2: Here on Turning Point tonight, we got so much coming up, 233 00:12:40,440 --> 00:12:44,640 Speaker 2: including the new Seattle mayor saying, eh, We're gonna make 234 00:12:44,800 --> 00:12:49,040 Speaker 2: grocery stores stay open, in other words, directing private businesses 235 00:12:49,080 --> 00:12:52,000 Speaker 2: that no, no, you can't close. Even if you're losing money, 236 00:12:52,240 --> 00:12:56,320 Speaker 2: you cannot close. We've skipped liberalism and gone straight into 237 00:12:56,320 --> 00:13:00,439 Speaker 2: communism in the state of It's the city of Seattle. Also, 238 00:13:00,520 --> 00:13:04,240 Speaker 2: a disturbingly high number of young women want to leave 239 00:13:04,280 --> 00:13:08,520 Speaker 2: the country permanently. The top country song in the world 240 00:13:08,600 --> 00:13:12,080 Speaker 2: right now is AI Generated. What ramifications does that have? 241 00:13:12,120 --> 00:13:14,400 Speaker 2: We'll talk about those stories with Congman Lee. We'll also 242 00:13:14,480 --> 00:13:16,760 Speaker 2: check in with Turning Points White Hos Correspondent Monica page 243 00:13:16,880 --> 00:13:19,320 Speaker 2: tpt at TPUSA dot com is the email address if 244 00:13:19,320 --> 00:13:22,480 Speaker 2: you'd like to send your thoughts comments, concerns, criticisms, even 245 00:13:22,520 --> 00:13:25,559 Speaker 2: we don't censor people who are wrong in our inbox. 246 00:13:25,240 --> 00:13:26,520 Speaker 1: Tpttpu A dot com. 247 00:13:26,520 --> 00:13:28,720 Speaker 2: You can also go subscribe to our YouTube channel and 248 00:13:28,720 --> 00:13:31,520 Speaker 2: that'll usually help you, except for this segment, because this 249 00:13:31,559 --> 00:13:33,079 Speaker 2: is in no way, shape or form'm gonna be able 250 00:13:33,080 --> 00:13:34,360 Speaker 2: to go on YouTube because we will get. 251 00:13:34,280 --> 00:13:35,800 Speaker 1: Booted off so fast. 252 00:13:35,840 --> 00:13:37,520 Speaker 2: So this is Real America's Voice, So the only place 253 00:13:37,559 --> 00:13:40,440 Speaker 2: you can actually get this segment and then well it's 254 00:13:40,440 --> 00:13:42,600 Speaker 2: gone into the either or you can watch it on 255 00:13:42,640 --> 00:13:45,520 Speaker 2: Real America's Voices website. We will be right back after 256 00:13:45,880 --> 00:13:47,839 Speaker 2: a quick break. Don't go all be We'll see you. 257 00:13:47,880 --> 00:14:01,600 Speaker 2: Then we come back to turning point tonight. We're together. 258 00:14:01,600 --> 00:14:05,160 Speaker 2: We're charting the course of America's cultural comeback. TBT ATPOSA 259 00:14:05,200 --> 00:14:07,040 Speaker 2: dot com is the email address if you'd like to 260 00:14:07,040 --> 00:14:10,120 Speaker 2: send in your thoughts, comments, concerns, criticisms. Also go subscribe 261 00:14:10,160 --> 00:14:12,880 Speaker 2: to our YouTube channel, where you get exclusive content never 262 00:14:12,960 --> 00:14:15,400 Speaker 2: before seen on this show. Just because honestly, there's not 263 00:14:15,520 --> 00:14:17,200 Speaker 2: enough time to talk about all the things that we 264 00:14:17,280 --> 00:14:18,760 Speaker 2: want to talk about. I think today I was going 265 00:14:18,800 --> 00:14:21,440 Speaker 2: to tell a story about an air travel trip that. 266 00:14:21,400 --> 00:14:24,480 Speaker 1: I had air travel. Who's a flight what am I 267 00:14:24,480 --> 00:14:24,880 Speaker 1: trying to do? 268 00:14:25,000 --> 00:14:28,160 Speaker 2: Air a flight yesterday in which I talked to a 269 00:14:28,160 --> 00:14:30,240 Speaker 2: guy who said some things that I was like, I 270 00:14:29,840 --> 00:14:32,000 Speaker 2: don't know if that's exactly true, but you can only 271 00:14:32,000 --> 00:14:34,760 Speaker 2: find that on Turning Point Tonight's YouTube channel, also our 272 00:14:34,840 --> 00:14:37,480 Speaker 2: rumble x, Facebook, all of those platforms. 273 00:14:37,560 --> 00:14:37,920 Speaker 1: You're going to. 274 00:14:37,920 --> 00:14:40,960 Speaker 2: See that there, you know, in kind of trying to 275 00:14:41,080 --> 00:14:43,960 Speaker 2: organize the flow of the show, there are some very 276 00:14:43,960 --> 00:14:45,880 Speaker 2: important things to get to. And I know it teased 277 00:14:45,920 --> 00:14:48,680 Speaker 2: the New Seattle Mayor, and we will play that. 278 00:14:48,840 --> 00:14:51,840 Speaker 1: But first I thought, you know, all of you good. 279 00:14:51,720 --> 00:14:55,120 Speaker 2: Folks deserve dessert before dinner, and in this case, it 280 00:14:55,160 --> 00:14:57,240 Speaker 2: comes in the form of a post from the White 281 00:14:57,240 --> 00:15:01,480 Speaker 2: House regarding the end of the shutdown. It is it 282 00:15:01,600 --> 00:15:04,960 Speaker 2: is very it. Just just watch this and you'll understand 283 00:15:05,040 --> 00:15:09,400 Speaker 2: why I consider this dessert. If you remember Sombrero Gate 284 00:15:10,200 --> 00:15:12,720 Speaker 2: that happened a couple of weeks ago in which the 285 00:15:12,760 --> 00:15:16,600 Speaker 2: Lips lost their mind about President Trump putting AI's sombreros 286 00:15:16,640 --> 00:15:20,000 Speaker 2: on it keep Jeffries and Senator Shumer. The White House 287 00:15:20,040 --> 00:15:23,680 Speaker 2: did a loving tribute to that time in our country's history. 288 00:15:24,200 --> 00:15:35,200 Speaker 6: Clip one, Oh. 289 00:15:32,560 --> 00:15:33,520 Speaker 2: Will you. 290 00:15:38,920 --> 00:15:43,600 Speaker 8: Do let you brass? 291 00:15:43,640 --> 00:16:00,880 Speaker 1: You not love him? Or hate him, love him or 292 00:16:00,920 --> 00:16:01,360 Speaker 1: hate him. 293 00:16:01,920 --> 00:16:03,680 Speaker 2: You have to admit this has got to be the 294 00:16:03,680 --> 00:16:06,440 Speaker 2: funniest president I even. I know, I know some of 295 00:16:06,480 --> 00:16:09,480 Speaker 2: you are gonna email again TPT atposdate dot com. No, 296 00:16:09,560 --> 00:16:14,080 Speaker 2: Reagan was very Reagan was also very, very funny, and 297 00:16:15,000 --> 00:16:18,760 Speaker 2: he didn't have the Internet, in which case I think 298 00:16:18,800 --> 00:16:20,840 Speaker 2: Trump gets a little bit of an edge that is 299 00:16:21,280 --> 00:16:22,880 Speaker 2: freaking hilarious. 300 00:16:23,480 --> 00:16:24,560 Speaker 1: You know it's not hilarious. 301 00:16:25,400 --> 00:16:29,760 Speaker 2: Communism, what a transition that was, and unfortunately it's going 302 00:16:29,760 --> 00:16:33,040 Speaker 2: on in the state of the city of the communist 303 00:16:33,080 --> 00:16:37,200 Speaker 2: state of Seattle. The new mayor that has been elected 304 00:16:37,240 --> 00:16:41,080 Speaker 2: into office, old clip of her came up talking about 305 00:16:41,080 --> 00:16:43,520 Speaker 2: what she's going to do with grocery stores. I want 306 00:16:43,520 --> 00:16:47,080 Speaker 2: to play you that clip and again warn you of 307 00:16:47,120 --> 00:16:50,640 Speaker 2: the not that you folks need warning what is happening here. 308 00:16:51,000 --> 00:16:53,040 Speaker 1: We need to continue to convey the. 309 00:16:52,960 --> 00:16:55,880 Speaker 2: Message that there are people out there like this, so 310 00:16:55,920 --> 00:16:59,080 Speaker 2: that you good folks, when having conversations at church or 311 00:16:59,120 --> 00:17:01,920 Speaker 2: with your neighbors about the direction of the country, you 312 00:17:01,920 --> 00:17:04,680 Speaker 2: can point to some of these things and go, h this, 313 00:17:04,880 --> 00:17:08,200 Speaker 2: we we don't want this, Go and play cut seven. 314 00:17:09,080 --> 00:17:12,919 Speaker 7: Access to affordable, healthy food is a basic right. We 315 00:17:12,960 --> 00:17:15,840 Speaker 7: cannot allow giant grocery chains to stomp all over our 316 00:17:15,880 --> 00:17:19,840 Speaker 7: communities closed stores that will and leave behind food deserts. Together, 317 00:17:19,880 --> 00:17:22,120 Speaker 7: we can build a Seattle where fresh food is for everyone, 318 00:17:22,400 --> 00:17:24,080 Speaker 7: not just for those who can afford it. 319 00:17:25,119 --> 00:17:26,520 Speaker 1: Food Doeserts are not natural. 320 00:17:26,680 --> 00:17:29,480 Speaker 7: Corporations create them when they have bands in our communities. 321 00:17:29,880 --> 00:17:33,000 Speaker 7: As mayor, I'm excited to step up and with UFCW 322 00:17:33,160 --> 00:17:38,600 Speaker 7: explore public option grocery stores to fill those gaps. 323 00:17:39,920 --> 00:17:42,080 Speaker 2: All right, we got more people on the whole public 324 00:17:42,119 --> 00:17:45,439 Speaker 2: grocery stores. We're not gonna let private businesses close, because 325 00:17:45,480 --> 00:17:49,199 Speaker 2: that's I don't even I don't even know how you 326 00:17:49,400 --> 00:17:52,440 Speaker 2: justify that sort of thing. What's also interesting and kind 327 00:17:52,480 --> 00:17:55,440 Speaker 2: of ironic here is producer Glenn pointed out the sign 328 00:17:55,520 --> 00:17:56,960 Speaker 2: that she's standing behind. 329 00:17:56,720 --> 00:17:59,119 Speaker 1: Is fresh food for all. 330 00:18:00,520 --> 00:18:04,520 Speaker 2: One of the biggest arguments against the welfare program in 331 00:18:04,560 --> 00:18:07,560 Speaker 2: this country is not necessarily that it exists, but what 332 00:18:07,600 --> 00:18:11,840 Speaker 2: it exists for. If you have quote unquote food insecurity, 333 00:18:11,880 --> 00:18:14,320 Speaker 2: which is again a made up term that a lot 334 00:18:14,320 --> 00:18:17,280 Speaker 2: of people can fall under, because I think, especially in 335 00:18:17,280 --> 00:18:20,040 Speaker 2: places like California, they say forty percent of people are 336 00:18:20,080 --> 00:18:22,919 Speaker 2: food insecure and then don't really give a definition of 337 00:18:22,960 --> 00:18:25,120 Speaker 2: what that means, but they use it to justify more 338 00:18:25,200 --> 00:18:29,399 Speaker 2: spending on things that people don't need, i e. Snack 339 00:18:29,400 --> 00:18:32,480 Speaker 2: and junk food. But the irony is that fresh food 340 00:18:32,560 --> 00:18:38,200 Speaker 2: for all Hmm. How many SNAP recipients are buying fresh 341 00:18:38,240 --> 00:18:46,199 Speaker 2: food like fresh doughnuts, fresh coca cola, fresh doritos. How 342 00:18:46,280 --> 00:18:49,199 Speaker 2: much of that SNAP benefit is being spent on fresh 343 00:18:49,200 --> 00:18:51,040 Speaker 2: twinkies for snack time? 344 00:18:53,240 --> 00:18:56,880 Speaker 1: Who knows? And actually that is the case? Who actually knows? 345 00:18:57,040 --> 00:19:01,679 Speaker 2: Because interestingly enough, you can't find that it's not kept 346 00:19:01,800 --> 00:19:05,439 Speaker 2: in any of the federal annals of I don't know 347 00:19:06,160 --> 00:19:11,200 Speaker 2: historical ledgers trying to think of a fancy way of 348 00:19:11,240 --> 00:19:13,640 Speaker 2: saying that data isn't kept, but all honest to God, 349 00:19:13,880 --> 00:19:17,119 Speaker 2: you cannot find it because the data is not there, 350 00:19:18,000 --> 00:19:19,639 Speaker 2: and that's done intentionally. 351 00:19:20,119 --> 00:19:23,080 Speaker 1: They don't keep data on this stuff. 352 00:19:23,160 --> 00:19:26,359 Speaker 2: Specifically because they don't want you and I knowing the 353 00:19:26,400 --> 00:19:29,520 Speaker 2: taxpayer that pays for all of these things, how much 354 00:19:29,640 --> 00:19:32,760 Speaker 2: goes to food that people shouldn't be eating? Because two, 355 00:19:33,119 --> 00:19:35,000 Speaker 2: if you look at it in the context of really 356 00:19:35,040 --> 00:19:39,920 Speaker 2: the entirety of the welfare system, I obviously don't want 357 00:19:39,920 --> 00:19:43,879 Speaker 2: people buying food that is terrible for people with my 358 00:19:44,040 --> 00:19:46,760 Speaker 2: tax dollars because then you know what happens is well, 359 00:19:46,840 --> 00:19:49,440 Speaker 2: then they end up eating that food and have health 360 00:19:49,480 --> 00:19:51,960 Speaker 2: problems and they have to go to the hospital or 361 00:19:51,960 --> 00:19:54,199 Speaker 2: the doctor. And who do you think pays for that? 362 00:19:54,240 --> 00:19:58,320 Speaker 2: It's also me, it's also you. So yes, there are 363 00:19:58,359 --> 00:20:01,560 Speaker 2: many justifiable reasons why you shouldn't be able to buy 364 00:20:01,640 --> 00:20:06,560 Speaker 2: junk food with EBT or snap benefits or welfare really 365 00:20:06,600 --> 00:20:10,560 Speaker 2: in any way, shape or form. But ultimately you shouldn't 366 00:20:10,600 --> 00:20:12,040 Speaker 2: be able to do it because at the end of 367 00:20:12,040 --> 00:20:15,800 Speaker 2: the day, it's going to cost me even more, which 368 00:20:15,800 --> 00:20:18,560 Speaker 2: I don't like. You live your life, do whatever it 369 00:20:18,640 --> 00:20:20,600 Speaker 2: is that you want to do. But if I have 370 00:20:20,680 --> 00:20:23,639 Speaker 2: to pay for the lifestyle that you're living, guess what 371 00:20:24,240 --> 00:20:27,080 Speaker 2: I'm gonna want some constraints put on what you're allowed 372 00:20:27,119 --> 00:20:32,000 Speaker 2: to do with my tax money. Unfortunately, Seattle is continuing 373 00:20:32,040 --> 00:20:35,160 Speaker 2: to slip into a communist hell hole with the new mayor, 374 00:20:35,560 --> 00:20:38,560 Speaker 2: Katie Wilson taking place, which, by the way, we played 375 00:20:38,560 --> 00:20:42,119 Speaker 2: a couple of clips from the Seattle mayor debate. Forget 376 00:20:42,160 --> 00:20:44,679 Speaker 2: the guy's last name, but the current guy is Bruce. 377 00:20:46,280 --> 00:20:48,879 Speaker 2: Can't remember his last name. If you're in Seattle, TPTATPOSA 378 00:20:48,960 --> 00:20:50,439 Speaker 2: dot com let me know what his last name is. 379 00:20:51,119 --> 00:20:55,800 Speaker 2: But he said some insane things about crime. Again, we 380 00:20:55,840 --> 00:20:58,080 Speaker 2: had that clip a while ago, but he effectively said, wow, 381 00:20:58,200 --> 00:21:01,080 Speaker 2: you know some people can crime, and who am I 382 00:21:01,160 --> 00:21:01,639 Speaker 2: to judge? 383 00:21:01,680 --> 00:21:06,800 Speaker 1: What if they have a traumatic upbringing? Oh? Okay? 384 00:21:06,840 --> 00:21:09,520 Speaker 2: Then stabbing people with needles in the park unexpectedly, It's 385 00:21:09,560 --> 00:21:11,720 Speaker 2: totally fine because you know what, he might have had 386 00:21:11,760 --> 00:21:12,920 Speaker 2: a traumatic upbringing. 387 00:21:13,240 --> 00:21:13,600 Speaker 1: Okay. 388 00:21:13,680 --> 00:21:19,960 Speaker 2: So that guy lost to this lady. Unbelievable. It is 389 00:21:20,000 --> 00:21:24,200 Speaker 2: one of those situations where I wish that more people 390 00:21:24,240 --> 00:21:26,880 Speaker 2: paid attention to this, because we need to see what 391 00:21:26,960 --> 00:21:29,760 Speaker 2: happens to places like New York City and Seattle, and 392 00:21:29,800 --> 00:21:33,320 Speaker 2: hopefully in the more sane parts of the country. Go yeah, 393 00:21:33,720 --> 00:21:38,000 Speaker 2: I really really don't want that to happen here. Good luck, Seattle, 394 00:21:38,359 --> 00:21:42,000 Speaker 2: best wishes. I do love your coffee, but I don't 395 00:21:42,000 --> 00:21:45,200 Speaker 2: want to live THERETPSA dot com is the email dress 396 00:21:45,200 --> 00:21:47,959 Speaker 2: if you'd like to send along your thoughts, comments, concerns, criticisms. 397 00:21:48,040 --> 00:21:51,280 Speaker 2: Up next, we got kanngmen Lee, friend of the show, 398 00:21:51,440 --> 00:21:55,400 Speaker 2: a great follow on social media, talking about the rising 399 00:21:55,520 --> 00:21:58,560 Speaker 2: number of young women who want to leave the country permanently, 400 00:21:59,000 --> 00:22:02,320 Speaker 2: as well as the number one country song in the 401 00:22:02,320 --> 00:22:06,760 Speaker 2: country is AI. What are the ramifications of our arts 402 00:22:06,840 --> 00:22:10,280 Speaker 2: being made by computers and not having a human. 403 00:22:10,080 --> 00:22:10,760 Speaker 1: Element to it? 404 00:22:11,000 --> 00:22:12,920 Speaker 2: That and more coming up after the breakd don't go away. 405 00:22:24,200 --> 00:22:26,520 Speaker 2: Welcome back to Turning Point Tonight. We're together. We're charting 406 00:22:26,560 --> 00:22:29,760 Speaker 2: the course of America's cultural comeback. TPT at TPUSA dot 407 00:22:29,760 --> 00:22:31,600 Speaker 2: com is the email if you'd like to send us 408 00:22:31,640 --> 00:22:34,159 Speaker 2: your thoughts, comments, concerns, even criticisms. You're allowed to be 409 00:22:34,200 --> 00:22:38,000 Speaker 2: wrong in our inbox. TBT at TPUSA dot com is 410 00:22:38,040 --> 00:22:39,920 Speaker 2: that email address. Also, go follow us on our social 411 00:22:40,000 --> 00:22:42,639 Speaker 2: media accounts, so specifically the YouTube channel. If you're not 412 00:22:42,680 --> 00:22:45,240 Speaker 2: on the YouTube channel, I just there's not enough pity 413 00:22:45,320 --> 00:22:47,920 Speaker 2: that I can I can possibly heap upon you because 414 00:22:47,920 --> 00:22:49,879 Speaker 2: you're missing out on some of the greatest content you 415 00:22:49,880 --> 00:22:52,119 Speaker 2: will ever, I guess, maybe never see if you're not 416 00:22:52,160 --> 00:22:54,520 Speaker 2: on the YouTube channel as well, Turning Point Tonight's YouTube 417 00:22:54,600 --> 00:22:56,280 Speaker 2: channel growing by leaps and bounds. You don't want to 418 00:22:56,320 --> 00:22:59,119 Speaker 2: be the only one that's not there. Joining us now 419 00:22:59,280 --> 00:23:04,560 Speaker 2: is a great friend, great conservative congmin Lee is, among 420 00:23:04,840 --> 00:23:10,000 Speaker 2: many things, a conservative commentator, streamer, all around good guy 421 00:23:10,600 --> 00:23:11,720 Speaker 2: common Thanks for joining. 422 00:23:11,520 --> 00:23:13,240 Speaker 9: Us, Hey, thanks for having me. 423 00:23:13,960 --> 00:23:17,320 Speaker 2: Hey, So there's a couple of statistics that have come 424 00:23:17,359 --> 00:23:20,240 Speaker 2: out recently. Newsmax was reporting on this one that I 425 00:23:20,280 --> 00:23:24,359 Speaker 2: thought was hilarious and also troubling at the same time. 426 00:23:25,119 --> 00:23:28,520 Speaker 2: A Gallup poll says nearly four and ten young women 427 00:23:28,960 --> 00:23:32,160 Speaker 2: want to leave the United States. Gallup shows that forty 428 00:23:32,200 --> 00:23:35,520 Speaker 2: percent of US women's women age nine eighteen to twenty 429 00:23:35,600 --> 00:23:39,240 Speaker 2: nine want to permanently move to a different country if 430 00:23:39,280 --> 00:23:43,679 Speaker 2: they could, which is the polling organization's highest levels in 431 00:23:43,800 --> 00:23:47,800 Speaker 2: four times higher than twenty fourteen. In other words, more 432 00:23:47,880 --> 00:23:49,040 Speaker 2: and more and more. 433 00:23:48,960 --> 00:23:50,800 Speaker 1: Young women i e. 434 00:23:51,200 --> 00:23:54,840 Speaker 2: Generally radicalized blue hair college students want to leave the 435 00:23:54,840 --> 00:24:00,640 Speaker 2: country permanently. Now, Congman, talking briefly beforehand, I'm a son 436 00:24:00,680 --> 00:24:01,320 Speaker 2: of an immigrant. 437 00:24:01,359 --> 00:24:02,280 Speaker 1: You're an immigrant. 438 00:24:02,760 --> 00:24:06,080 Speaker 2: You know what does that say that people are wanting 439 00:24:06,200 --> 00:24:09,600 Speaker 2: to or at least telling posters that we hate this country. 440 00:24:09,640 --> 00:24:12,200 Speaker 1: It's the worst thing ever. And I want to leave immediately. 441 00:24:13,400 --> 00:24:15,879 Speaker 9: America is one of the only countries in the world 442 00:24:15,920 --> 00:24:20,840 Speaker 9: where everyone simultaneously wants to come to America while calling 443 00:24:20,880 --> 00:24:23,439 Speaker 9: it the worst country in the world, which makes no 444 00:24:23,600 --> 00:24:26,359 Speaker 9: sense to me. And you can't say that we should 445 00:24:26,400 --> 00:24:30,040 Speaker 9: have open borders, we should have asylum seekers and anyone 446 00:24:30,080 --> 00:24:33,159 Speaker 9: and everyone who wants to pour into our country should 447 00:24:33,160 --> 00:24:35,760 Speaker 9: be able to come, while also saying it's the worst 448 00:24:35,760 --> 00:24:38,199 Speaker 9: countries in the world, it's the most racist, it's the 449 00:24:38,240 --> 00:24:39,520 Speaker 9: most misogynistic, it. 450 00:24:39,520 --> 00:24:41,280 Speaker 1: Is the Handmaid's tail. 451 00:24:42,440 --> 00:24:45,040 Speaker 9: Those two things can't coincide, and I think this is 452 00:24:45,080 --> 00:24:49,640 Speaker 9: a big reason why liberals are very anxious and very 453 00:24:50,200 --> 00:24:53,080 Speaker 9: You're just not well because of that cognitive dissonance where 454 00:24:53,080 --> 00:24:54,720 Speaker 9: a lot of the things that they believe, it's the 455 00:24:54,720 --> 00:24:57,440 Speaker 9: same thing where they love Islam but at the same 456 00:24:57,520 --> 00:25:01,679 Speaker 9: time are for LGBTQ and f feminism. And it's just 457 00:25:01,720 --> 00:25:05,480 Speaker 9: this cognitive dissonance that happens and messes with their overall 458 00:25:05,520 --> 00:25:08,960 Speaker 9: faculties of reason, which kind of lends them to being 459 00:25:09,040 --> 00:25:12,760 Speaker 9: the most absurd and obnoxious people that you'll meet. 460 00:25:13,640 --> 00:25:16,119 Speaker 2: That is such a good point because I can almost 461 00:25:16,240 --> 00:25:18,679 Speaker 2: guarantee you that the types of people that say this, 462 00:25:18,800 --> 00:25:20,480 Speaker 2: the forty percent of young women who are like I 463 00:25:20,480 --> 00:25:23,119 Speaker 2: want to leave the country immediately, are also the we 464 00:25:23,200 --> 00:25:26,560 Speaker 2: should welcome everybody here. We shouldn't have immigration. I'm so 465 00:25:26,720 --> 00:25:30,399 Speaker 2: mad that ICE is going into cities and enforcing the law. 466 00:25:30,440 --> 00:25:35,000 Speaker 2: Interestingly enough, research from the Brookings Institute also found last 467 00:25:35,080 --> 00:25:38,760 Speaker 2: year that around forty percent of women under thirty also 468 00:25:38,840 --> 00:25:43,479 Speaker 2: identify as liberals, So I wonder if there's a correlation there, 469 00:25:43,600 --> 00:25:46,720 Speaker 2: so to speak, KM, I know, we didn't necessarily send 470 00:25:46,720 --> 00:25:48,159 Speaker 2: this to you, but I thought this was interesting and 471 00:25:48,240 --> 00:25:53,280 Speaker 2: kind of coincides with this. Another poll conducted by Signal 472 00:25:54,200 --> 00:25:57,560 Speaker 2: said that sixty percent of young liberals say that it's 473 00:25:57,600 --> 00:26:01,680 Speaker 2: okay to break the law to stop ice in these 474 00:26:01,920 --> 00:26:04,400 Speaker 2: these raids that are going around getting all the illegals 475 00:26:04,480 --> 00:26:07,480 Speaker 2: out of the country. What does that say about the 476 00:26:07,640 --> 00:26:11,040 Speaker 2: state of things, especially in the minds of younger people, 477 00:26:11,119 --> 00:26:14,480 Speaker 2: If they're saying, yeah, it's totally acceptable to break the 478 00:26:14,600 --> 00:26:18,119 Speaker 2: law to stop someone else from enforcing the law. 479 00:26:19,160 --> 00:26:23,560 Speaker 9: It's I wish they had that much passion for babies 480 00:26:23,600 --> 00:26:25,960 Speaker 9: in the womb. I wish they had that much passion 481 00:26:26,200 --> 00:26:29,320 Speaker 9: for the forgotten men and women who are left behind 482 00:26:29,400 --> 00:26:32,679 Speaker 9: in this country. It's essentially that heat map. It's a 483 00:26:32,680 --> 00:26:35,960 Speaker 9: meme online all the time shared about how conservatives love 484 00:26:36,000 --> 00:26:38,960 Speaker 9: their family and their neighbors and their community, and then 485 00:26:39,000 --> 00:26:42,919 Speaker 9: liberals outsource their compassion and they love external things that 486 00:26:42,960 --> 00:26:45,040 Speaker 9: are not near to them a lot more. And this 487 00:26:45,119 --> 00:26:48,360 Speaker 9: is a big part and reason why liberals have bad relationships. 488 00:26:48,400 --> 00:26:50,480 Speaker 9: And I don't want to overgeneralize, but this tends to 489 00:26:50,520 --> 00:26:53,159 Speaker 9: be the case where a lot of unhinged people come 490 00:26:53,200 --> 00:26:56,480 Speaker 9: from broken homes because they don't have a solid community, 491 00:26:56,600 --> 00:26:59,680 Speaker 9: they don't have a good church community, a good foundation, 492 00:26:59,840 --> 00:27:02,440 Speaker 9: and a good relationship with their family, and so they 493 00:27:02,480 --> 00:27:05,439 Speaker 9: find it in these social causes. They find it in 494 00:27:05,560 --> 00:27:08,439 Speaker 9: these online communities. And at the end of the day, 495 00:27:08,640 --> 00:27:12,680 Speaker 9: you see that these people find meaning in fighting for 496 00:27:12,800 --> 00:27:16,119 Speaker 9: people whose names they don't know, whose faces they don't know, 497 00:27:16,520 --> 00:27:20,280 Speaker 9: versus sewing into and investing into their own community and 498 00:27:20,320 --> 00:27:22,800 Speaker 9: in their own families, because at the end of the day, 499 00:27:23,119 --> 00:27:25,719 Speaker 9: being a loving husband, being a loving father, being a 500 00:27:25,720 --> 00:27:29,000 Speaker 9: loving daughter and son, that is harder to do than 501 00:27:29,040 --> 00:27:31,960 Speaker 9: to virtue signal and say we're gonna fight the patriarchy 502 00:27:32,200 --> 00:27:36,760 Speaker 9: and fight the fascists, because that's easy, that's actually easy. 503 00:27:36,800 --> 00:27:38,120 Speaker 1: But the hard word is. 504 00:27:38,080 --> 00:27:41,800 Speaker 9: Being someone who's present, loving, and attentive to those who 505 00:27:41,840 --> 00:27:42,440 Speaker 9: are in your life. 506 00:27:43,160 --> 00:27:45,919 Speaker 2: Well, yeah, I find this so often all of the 507 00:27:46,040 --> 00:27:48,159 Speaker 2: I was in Berkeley on Monday and there was a 508 00:27:48,160 --> 00:27:52,240 Speaker 2: big sign that said we are fighting for people of color, Like, okay, 509 00:27:53,160 --> 00:27:54,679 Speaker 2: that's me, and. 510 00:27:55,720 --> 00:27:58,800 Speaker 10: Please stop, please stop fighting for me, because I know 511 00:27:58,880 --> 00:28:01,600 Speaker 10: you think you're doing well well, but it's actually a 512 00:28:01,640 --> 00:28:03,600 Speaker 10: big hindrance to people like me who just want to 513 00:28:03,640 --> 00:28:05,879 Speaker 10: focus on my family at our household. 514 00:28:06,600 --> 00:28:08,480 Speaker 1: That's yeah, it lives, blue hairs. 515 00:28:08,560 --> 00:28:11,600 Speaker 2: Just just please please stop the fight again for whatever 516 00:28:11,640 --> 00:28:14,880 Speaker 2: you think it is that I want. This is also 517 00:28:14,960 --> 00:28:17,920 Speaker 2: interesting kind of a change of topic here. You're an 518 00:28:18,040 --> 00:28:22,600 Speaker 2: artist in so many different ways and art is I 519 00:28:22,640 --> 00:28:26,040 Speaker 2: think conservatives neglect art a little bit too much. I 520 00:28:26,080 --> 00:28:29,119 Speaker 2: would love to see more good conservative art. And I 521 00:28:29,119 --> 00:28:31,720 Speaker 2: say good because I think there is there's some people 522 00:28:31,720 --> 00:28:34,600 Speaker 2: that are trying and I don't know. I don't want 523 00:28:34,600 --> 00:28:37,320 Speaker 2: to put down a bunch of like happy go lucky 524 00:28:37,840 --> 00:28:40,880 Speaker 2: Christian movies, but you know, they are what they are, 525 00:28:40,920 --> 00:28:43,200 Speaker 2: and I don't necessarily know that it's like going to 526 00:28:43,280 --> 00:28:46,360 Speaker 2: be a very moving component in the in the world 527 00:28:46,440 --> 00:28:48,720 Speaker 2: of art. They're they're good, They're fine, but also a 528 00:28:48,720 --> 00:28:49,400 Speaker 2: little bit corny. 529 00:28:49,960 --> 00:28:50,080 Speaker 11: Uh. 530 00:28:50,320 --> 00:28:56,040 Speaker 2: But AI is showing some real promise. For lack of 531 00:28:56,080 --> 00:28:59,200 Speaker 2: a better word, the number one country song right now 532 00:28:59,240 --> 00:29:03,960 Speaker 2: called Walk My Way is actually AI generated. And that 533 00:29:04,240 --> 00:29:08,800 Speaker 2: is concerning in the world of art and as an 534 00:29:08,880 --> 00:29:12,840 Speaker 2: artist yourself, what are your thoughts here, like, what is 535 00:29:12,840 --> 00:29:15,680 Speaker 2: is this? Is this gonna be ultimately kind of go 536 00:29:15,840 --> 00:29:19,560 Speaker 2: away as people want, you know, real people creating real things, 537 00:29:19,960 --> 00:29:21,600 Speaker 2: or is this gonna be something that we just kind 538 00:29:21,600 --> 00:29:23,840 Speaker 2: of have to deal with in the art world. 539 00:29:24,800 --> 00:29:28,000 Speaker 9: I think there's there always is a healthy tension and 540 00:29:28,080 --> 00:29:31,479 Speaker 9: balance that can be achieved in all things policy and 541 00:29:31,560 --> 00:29:35,160 Speaker 9: all things politics and culture. And there's always one end 542 00:29:35,480 --> 00:29:38,000 Speaker 9: of the extreme that like, we're gonna be left behind, 543 00:29:38,160 --> 00:29:40,640 Speaker 9: China's gonna overtake us if you don't go all in 544 00:29:40,800 --> 00:29:43,520 Speaker 9: full and make everything AI. And then there's the other 545 00:29:43,600 --> 00:29:46,360 Speaker 9: side of the extreme where they say no AI at all, 546 00:29:46,520 --> 00:29:50,080 Speaker 9: AIS demonic ais the worst. I'm a little more towards 547 00:29:50,160 --> 00:29:53,760 Speaker 9: the middle, where human ingenuity has always advanced the arts. 548 00:29:53,960 --> 00:29:57,600 Speaker 9: When you even think about music, things are always computer generated. 549 00:29:58,080 --> 00:30:00,000 Speaker 9: In recent years, a lot of the things that are produced, 550 00:30:00,360 --> 00:30:02,200 Speaker 9: a lot of the instruments you hear in your favorite 551 00:30:02,200 --> 00:30:05,360 Speaker 9: songs and your favorite composers, they all use computer plug ins. 552 00:30:05,680 --> 00:30:08,280 Speaker 9: A lot of it's not actual instruments anymore, and a 553 00:30:08,280 --> 00:30:11,040 Speaker 9: lot of people weren't really complaining about that, which again 554 00:30:11,080 --> 00:30:11,680 Speaker 9: I don't think. 555 00:30:11,520 --> 00:30:13,720 Speaker 1: There really is there. 556 00:30:14,280 --> 00:30:17,760 Speaker 9: I guess for me, my biggest thing is once AI 557 00:30:17,960 --> 00:30:22,520 Speaker 9: starts to replace people and human interactions. That's where I 558 00:30:22,520 --> 00:30:25,200 Speaker 9: believe it's the most dangerous when you see when you 559 00:30:25,200 --> 00:30:27,800 Speaker 9: go to your local McDonald's and instead of talking to 560 00:30:27,840 --> 00:30:30,920 Speaker 9: someone and asking how they're doing, and someone taking your order, 561 00:30:31,120 --> 00:30:35,040 Speaker 9: it's now a machine. When AI starts to take millions 562 00:30:35,080 --> 00:30:38,080 Speaker 9: and millions of jobs away from people, that's when I 563 00:30:38,160 --> 00:30:41,360 Speaker 9: have a problem, and I think we can use AI 564 00:30:42,080 --> 00:30:47,120 Speaker 9: to benefit and actually enhance our art without giving it 565 00:30:47,200 --> 00:30:52,400 Speaker 9: completely to computer algorithms and language models. There is a 566 00:30:52,480 --> 00:30:55,600 Speaker 9: happy medium that we can achieve where we continue to 567 00:30:55,800 --> 00:30:58,560 Speaker 9: innovate with AI so we're not left behind in the 568 00:30:58,600 --> 00:31:04,360 Speaker 9: AI race while the same time maximizing like humanity and 569 00:31:04,400 --> 00:31:06,040 Speaker 9: the human element in all things. 570 00:31:06,840 --> 00:31:07,040 Speaker 1: Well. 571 00:31:07,160 --> 00:31:09,720 Speaker 2: It is interesting too because you bring up a very 572 00:31:09,760 --> 00:31:12,680 Speaker 2: good point, like even you know before now where everything 573 00:31:12,720 --> 00:31:16,360 Speaker 2: is completely AI, there's a lot of like formulaic ways 574 00:31:16,400 --> 00:31:18,800 Speaker 2: that pop music has been generated, like you do this, 575 00:31:19,000 --> 00:31:21,080 Speaker 2: you create this sort of beat, you do this, and 576 00:31:21,120 --> 00:31:23,840 Speaker 2: it's kind of just like a almost a math problem 577 00:31:23,880 --> 00:31:26,800 Speaker 2: that they the pop music industry has figured out, well 578 00:31:26,840 --> 00:31:31,840 Speaker 2: this works. I'm curious, I hope and I think that 579 00:31:31,960 --> 00:31:35,400 Speaker 2: this might be a resurgence of like live performance arts. 580 00:31:35,440 --> 00:31:37,160 Speaker 2: What do you what do you think on that? Front, 581 00:31:37,600 --> 00:31:40,120 Speaker 2: are people gonna want that sort of thing? And is 582 00:31:40,120 --> 00:31:43,760 Speaker 2: that gonna be that want elevated with the idea that 583 00:31:43,800 --> 00:31:46,080 Speaker 2: while everything online is pretty much just digitally altered and 584 00:31:46,080 --> 00:31:48,920 Speaker 2: the only way I can get true human art is 585 00:31:49,400 --> 00:31:52,240 Speaker 2: live in you know, either a theater or some sort 586 00:31:52,280 --> 00:31:54,040 Speaker 2: of live entertainment venue. 587 00:31:54,800 --> 00:31:57,760 Speaker 9: Yeah, with all things in culture and in society, there's 588 00:31:57,800 --> 00:32:01,720 Speaker 9: always gonna be a pendulum and swing into. 589 00:32:01,520 --> 00:32:02,280 Speaker 1: The other direction. 590 00:32:02,600 --> 00:32:05,880 Speaker 9: You saw this with COVID, for example. So everyone normalized 591 00:32:05,960 --> 00:32:09,280 Speaker 9: working and staying away from home and your family for 592 00:32:09,440 --> 00:32:12,040 Speaker 9: hours on end during the day. But then once the 593 00:32:12,120 --> 00:32:14,560 Speaker 9: work at home model kind of started to come back, 594 00:32:14,840 --> 00:32:17,640 Speaker 9: we start to go back to pre industrial revolutions ways 595 00:32:17,680 --> 00:32:20,000 Speaker 9: of living where we're close to our family while we 596 00:32:20,040 --> 00:32:21,840 Speaker 9: work for a lot of the day. And then so 597 00:32:21,960 --> 00:32:24,760 Speaker 9: in the same way, I do believe that as AI 598 00:32:24,840 --> 00:32:27,920 Speaker 9: grows and the AI slop increases and everyone's like, oh yeah, 599 00:32:27,920 --> 00:32:30,520 Speaker 9: I love the AI, there will be a research and wait, 600 00:32:30,640 --> 00:32:35,920 Speaker 9: this is so empty. This is really not exactly speaking 601 00:32:35,920 --> 00:32:39,280 Speaker 9: to my soul. Yet it satisfies a little bits and 602 00:32:39,440 --> 00:32:42,479 Speaker 9: here and makes me feel good in the moment, but 603 00:32:42,520 --> 00:32:44,040 Speaker 9: then at the end of the day, I'm like, there's 604 00:32:44,040 --> 00:32:47,240 Speaker 9: something missing here. There's something deeper I want, and then 605 00:32:47,320 --> 00:32:49,280 Speaker 9: they'll find it. And I think people will go out 606 00:32:49,320 --> 00:32:51,520 Speaker 9: and find it, They'll find the connections, they'll find the 607 00:32:51,640 --> 00:32:54,920 Speaker 9: genuine art and the live performances that they're missing from, 608 00:32:55,000 --> 00:32:57,840 Speaker 9: just like computer generated songs and performances. 609 00:32:58,840 --> 00:32:59,320 Speaker 1: Interesting. 610 00:32:59,400 --> 00:33:02,080 Speaker 2: No, that perspective, I think you're right, there's going to 611 00:33:02,160 --> 00:33:05,360 Speaker 2: be something missing that just is that human element, that 612 00:33:05,640 --> 00:33:09,800 Speaker 2: element that I hopefully AI can't create, or hopefully at 613 00:33:09,880 --> 00:33:13,520 Speaker 2: least people want going forward and in their art. Commonly, 614 00:33:14,040 --> 00:33:16,160 Speaker 2: thank you so much for joining. Really appreciate your perspective 615 00:33:16,200 --> 00:33:16,640 Speaker 2: on things. 616 00:33:17,320 --> 00:33:18,080 Speaker 9: Thanks for having me. 617 00:33:18,520 --> 00:33:18,920 Speaker 1: Thank you. 618 00:33:19,440 --> 00:33:21,840 Speaker 2: Unfortunately we're not able to play you that song for 619 00:33:22,080 --> 00:33:23,800 Speaker 2: copyright reasons, but go check it out. 620 00:33:23,840 --> 00:33:24,640 Speaker 1: Send us an email. 621 00:33:24,760 --> 00:33:28,920 Speaker 2: Walk My Walk by breaking Rust, which producer Glenn pointed 622 00:33:28,960 --> 00:33:31,720 Speaker 2: out as such an ironic name because it's a computer 623 00:33:31,920 --> 00:33:33,080 Speaker 2: entirely made of metal, so. 624 00:33:33,040 --> 00:33:34,600 Speaker 1: Of course you gotta break the rust. 625 00:33:35,480 --> 00:33:37,719 Speaker 2: Walk my Walk. Let us listen to the song. Let 626 00:33:37,800 --> 00:33:39,840 Speaker 2: us know what you think about it. Will people have 627 00:33:39,920 --> 00:33:43,800 Speaker 2: this yearning for the human component? Or is AI going 628 00:33:43,840 --> 00:33:46,440 Speaker 2: to come in and take all of the artistic creativity 629 00:33:46,480 --> 00:33:47,720 Speaker 2: away from humanity? 630 00:33:47,800 --> 00:33:48,160 Speaker 1: Let us know. 631 00:33:48,240 --> 00:33:50,640 Speaker 2: Tpt at TPUSA dot com also go subscribe to our 632 00:33:50,720 --> 00:33:54,000 Speaker 2: YouTube channel, Turning Point Tonight on YouTube. Would love to 633 00:33:54,040 --> 00:33:56,320 Speaker 2: hear your thoughts on any of those platforms, either in 634 00:33:56,360 --> 00:33:58,920 Speaker 2: the comments or at TPT at TPUSA dot com. 635 00:33:58,920 --> 00:34:00,240 Speaker 1: We will be right back after the break. 636 00:34:00,280 --> 00:34:12,440 Speaker 2: Don't go away, Welcome back to Turning Point Tonight. We're together. 637 00:34:12,520 --> 00:34:16,080 Speaker 2: We are charting the course of America's cultural comeback. TPT 638 00:34:16,280 --> 00:34:18,560 Speaker 2: at TPUSA dot com is the email address. Also, go 639 00:34:18,600 --> 00:34:21,279 Speaker 2: subscribe to our YouTube channel, which is growing by leaps 640 00:34:21,280 --> 00:34:22,959 Speaker 2: and bounds. And you don't want to be the only 641 00:34:23,040 --> 00:34:26,120 Speaker 2: person at the dinner party who's not talking about what's 642 00:34:26,160 --> 00:34:27,920 Speaker 2: going on in the Turning Point Tonight YouTube channels. To 643 00:34:27,960 --> 00:34:30,960 Speaker 2: go subscribe YouTube dot com Turning Point Tonight. Also rumble 644 00:34:31,440 --> 00:34:34,799 Speaker 2: x you know all the social media platforms. I don't 645 00:34:34,800 --> 00:34:37,120 Speaker 2: need to keep reiterating it to all of you folks. 646 00:34:37,640 --> 00:34:39,880 Speaker 2: Joining us now is Turning Points. White House correspondent Monica 647 00:34:39,920 --> 00:34:43,120 Speaker 2: Page from the White House, Monica, thanks for joining. 648 00:34:43,560 --> 00:34:45,640 Speaker 8: Thanks so much for having me, Joe Bob, how's it going? 649 00:34:46,080 --> 00:34:46,840 Speaker 1: It is going? 650 00:34:47,280 --> 00:34:50,719 Speaker 2: Uh, and it is going better for This is a 651 00:34:50,800 --> 00:34:52,920 Speaker 2: terrible transition. I don't know what I'm thinking here, but 652 00:34:52,960 --> 00:34:56,799 Speaker 2: really it's better for foster kids around the country, the 653 00:34:56,840 --> 00:35:00,200 Speaker 2: President and his wife Milania signing an executive order. Tell 654 00:35:00,280 --> 00:35:00,719 Speaker 2: us about it. 655 00:35:01,600 --> 00:35:03,480 Speaker 8: Yeah, that's exactly right, And it happened in the East 656 00:35:03,560 --> 00:35:05,359 Speaker 8: Room this afternoon in the White House. And for those 657 00:35:05,400 --> 00:35:07,080 Speaker 8: that don't know, the East Room is kind of like 658 00:35:07,280 --> 00:35:09,839 Speaker 8: one of the bigger rooms where you can host reporters 659 00:35:09,880 --> 00:35:13,000 Speaker 8: and guests and congress people for large gatherings where you 660 00:35:13,000 --> 00:35:15,719 Speaker 8: can sign executive orders. Although we do need a little 661 00:35:15,719 --> 00:35:18,040 Speaker 8: bit more space, so hopefully that ballroom gets finished up 662 00:35:18,120 --> 00:35:21,480 Speaker 8: quicker than people anticipate for these events. But like you 663 00:35:21,560 --> 00:35:24,000 Speaker 8: just mentioned, Joe, Bob, this is called Fostering the Future, 664 00:35:24,000 --> 00:35:26,080 Speaker 8: which is kind of an initiative from the be Best 665 00:35:26,200 --> 00:35:29,759 Speaker 8: initiative that the First Lady implemented during President Trump's first 666 00:35:29,840 --> 00:35:33,080 Speaker 8: campaign is first administration, and this just kind of, like 667 00:35:33,600 --> 00:35:36,200 Speaker 8: I guess you could say, piggybacks off of what happened 668 00:35:36,280 --> 00:35:38,560 Speaker 8: during the first term. So essentially, this is going to 669 00:35:38,600 --> 00:35:42,400 Speaker 8: provide foster children with more resources during their stay in 670 00:35:42,480 --> 00:35:46,400 Speaker 8: foster care and also transitioning out of the foster care system. 671 00:35:46,719 --> 00:35:48,880 Speaker 8: For those that may not be aware, the National Foster 672 00:35:49,160 --> 00:35:52,800 Speaker 8: Youth Institute says that about fifty percent of foster kids 673 00:35:53,160 --> 00:35:56,520 Speaker 8: graduate high school only three percent of foster kids actually 674 00:35:56,520 --> 00:35:59,840 Speaker 8: get a college degree, and about twenty percent of foster 675 00:36:00,040 --> 00:36:03,359 Speaker 8: children become homeless after aging out of the system. So 676 00:36:03,400 --> 00:36:05,759 Speaker 8: this White House is really you know, you know, really 677 00:36:05,840 --> 00:36:08,600 Speaker 8: it shows that it cares about the children, especially Malania Trump, 678 00:36:08,640 --> 00:36:12,640 Speaker 8: the first Lady. She's been advocating for children across the 679 00:36:12,680 --> 00:36:16,239 Speaker 8: country even globally as well, so this is something that 680 00:36:16,280 --> 00:36:18,960 Speaker 8: she's really proud to get behind. And she also secured 681 00:36:19,000 --> 00:36:21,640 Speaker 8: a twenty five million dollar investment in the fiscal year 682 00:36:21,680 --> 00:36:24,120 Speaker 8: of twenty twenty six to help children who web age 683 00:36:24,120 --> 00:36:26,759 Speaker 8: out of the foster care system, provide housing for them 684 00:36:27,200 --> 00:36:29,239 Speaker 8: so they won't become homeless, so they can get the 685 00:36:29,280 --> 00:36:32,720 Speaker 8: resources to you know, experience life, to get a job, 686 00:36:33,480 --> 00:36:36,040 Speaker 8: to give them the resources and education that they need 687 00:36:36,080 --> 00:36:39,480 Speaker 8: to successfully and smoothly transition out of the foster care system. 688 00:36:39,800 --> 00:36:42,040 Speaker 2: You know what, Monica's really interesting. All of the pro 689 00:36:42,080 --> 00:36:44,440 Speaker 2: abortion folks on the other side tend to hit us 690 00:36:44,440 --> 00:36:47,760 Speaker 2: with why don't you care about the foster said, well, yeah, 691 00:36:48,160 --> 00:36:50,920 Speaker 2: they just kind of conveniently miss all of these types 692 00:36:50,920 --> 00:36:53,560 Speaker 2: of stories. So thank you for bringing that to us, Monica. 693 00:36:53,600 --> 00:36:57,560 Speaker 2: Wile I've got you, the government is open again for 694 00:36:57,560 --> 00:37:00,680 Speaker 2: President Trump last night signing the bill that continue the government. 695 00:37:01,960 --> 00:37:03,040 Speaker 1: Just anecdotally. 696 00:37:03,080 --> 00:37:05,720 Speaker 2: I know you probably haven't talked specifically to anybody about 697 00:37:05,719 --> 00:37:09,359 Speaker 2: this yet. What is the mood on the ground for 698 00:37:09,400 --> 00:37:12,560 Speaker 2: the next time this comes up at the end of January. 699 00:37:12,600 --> 00:37:15,640 Speaker 2: Oh my gosh, it hurts even saying that we might 700 00:37:15,719 --> 00:37:18,400 Speaker 2: have to do this again in two months. 701 00:37:19,200 --> 00:37:21,279 Speaker 8: Yeah, that's exactly right. And I think that that's kind 702 00:37:21,280 --> 00:37:23,719 Speaker 8: of like looming overhead, kind of in the distance of 703 00:37:23,760 --> 00:37:26,000 Speaker 8: the White House at this point, because I think the 704 00:37:26,040 --> 00:37:27,840 Speaker 8: mood for the White House is we're going to tackle 705 00:37:27,880 --> 00:37:30,600 Speaker 8: that when January comes. But I actually did get a 706 00:37:30,719 --> 00:37:32,680 Speaker 8: chance to speak to somebody from the Comm's Department who 707 00:37:32,719 --> 00:37:35,040 Speaker 8: was actually very excited to get her paycheck. She's very 708 00:37:35,040 --> 00:37:37,360 Speaker 8: excited to get everybody back into the Comm's room in 709 00:37:37,400 --> 00:37:38,960 Speaker 8: the lower Press area of the White House, to have 710 00:37:39,040 --> 00:37:42,640 Speaker 8: everybody back. So the mood is pretty light here at 711 00:37:42,640 --> 00:37:45,000 Speaker 8: the White House. I know. Last night the President officially 712 00:37:45,080 --> 00:37:48,000 Speaker 8: signed off on the government reopening and was met with 713 00:37:48,239 --> 00:37:51,080 Speaker 8: a round of applause. It was packed Oval office from 714 00:37:51,120 --> 00:37:53,840 Speaker 8: what I could see. But he is very excited to 715 00:37:53,840 --> 00:37:56,319 Speaker 8: get back to work. He's excited to, you know, get 716 00:37:56,320 --> 00:38:00,000 Speaker 8: these I guess institutions up and running, especially like Social Security, 717 00:38:00,160 --> 00:38:03,480 Speaker 8: these SNAP programs, et cetera, that people rely on. That 718 00:38:03,520 --> 00:38:05,360 Speaker 8: it's a whole other beast that we could talk about 719 00:38:05,400 --> 00:38:08,200 Speaker 8: for a whole other segment. SNAP in its overhaul. It's 720 00:38:08,280 --> 00:38:11,719 Speaker 8: reform that it desperately needs. But the mood is very 721 00:38:11,800 --> 00:38:15,320 Speaker 8: light at the White House. Everyone's very excited, optimistic, positive 722 00:38:16,200 --> 00:38:19,080 Speaker 8: until January. But hopefully we won't have to deal with 723 00:38:19,280 --> 00:38:21,600 Speaker 8: such a crisis again as much as we did this 724 00:38:21,600 --> 00:38:22,840 Speaker 8: past one forty three days. 725 00:38:23,040 --> 00:38:26,160 Speaker 2: Yeah, we will all find out together. I hope fingers 726 00:38:26,160 --> 00:38:29,480 Speaker 2: crossed it doesn't happen again. And while I am excited 727 00:38:29,560 --> 00:38:33,120 Speaker 2: President Trump got the government back open, i gotta be 728 00:38:33,120 --> 00:38:35,399 Speaker 2: honest with you, Monica, I'm gonna miss Sombrero Gate. 729 00:38:35,840 --> 00:38:37,279 Speaker 1: It was one of my favorite too. 730 00:38:37,719 --> 00:38:39,759 Speaker 2: It was one of my favorite gates. We will play 731 00:38:39,840 --> 00:38:42,040 Speaker 2: later on in the show. The White House put out 732 00:38:42,080 --> 00:38:48,800 Speaker 2: an homage to the sombrero wearing congressmen and Senator Shumor 733 00:38:48,880 --> 00:38:52,279 Speaker 2: and Jeffries. So as much as I'm excited for President Trump, 734 00:38:52,400 --> 00:38:54,879 Speaker 2: I will miss those memes. A Monica Page turning points 735 00:38:54,880 --> 00:38:56,680 Speaker 2: White Host correspondent, thank you so much for joining. Really 736 00:38:56,680 --> 00:38:57,520 Speaker 2: appreciate you taking the. 737 00:38:57,480 --> 00:39:00,000 Speaker 1: Time thanks Joe, Bob, thank you. 738 00:39:00,560 --> 00:39:04,960 Speaker 2: Speaking about President Trump, It's really interesting how many people 739 00:39:05,040 --> 00:39:10,000 Speaker 2: were actually editing their January sixth footage of him. It's 740 00:39:10,239 --> 00:39:13,759 Speaker 2: now my thought of who wasn't doing it. We did 741 00:39:13,840 --> 00:39:15,759 Speaker 2: the story a couple of days ago where the BBC 742 00:39:15,880 --> 00:39:18,520 Speaker 2: had two of their top brass and the News division 743 00:39:18,560 --> 00:39:22,040 Speaker 2: have to resign because of how they edited President Trump's 744 00:39:22,120 --> 00:39:25,000 Speaker 2: January sixth speech to make it sound like things that 745 00:39:25,040 --> 00:39:28,560 Speaker 2: he definitely did not say. Turns out they aren't the 746 00:39:28,600 --> 00:39:31,120 Speaker 2: only ones, I think, because of that, there is a 747 00:39:31,200 --> 00:39:34,680 Speaker 2: worldwide audit on all of the people that put together 748 00:39:34,800 --> 00:39:39,479 Speaker 2: documentary pieces on President Trump's January sixth speech and are going, 749 00:39:39,560 --> 00:39:42,640 Speaker 2: oh yeah, this is actually it's actually not anywhere near 750 00:39:42,920 --> 00:39:46,360 Speaker 2: what he said. Maybe we should hold these people accountable. 751 00:39:46,360 --> 00:39:52,000 Speaker 2: Those people include the Ozzie broadcasters. The ABC deceptively edited, 752 00:39:52,040 --> 00:39:54,480 Speaker 2: according to The New York Post, Trump's January sixth speech, 753 00:39:54,800 --> 00:39:59,160 Speaker 2: much like the BBC did. The ABC footage included again 754 00:39:59,280 --> 00:40:05,399 Speaker 2: Ozzy podcasting channel, not to our ABC included Trump telling 755 00:40:05,480 --> 00:40:07,960 Speaker 2: rally goers We're going to walk down. I'll be there 756 00:40:08,000 --> 00:40:11,000 Speaker 2: with you because you'll never take back this country with weakness. 757 00:40:11,239 --> 00:40:13,520 Speaker 1: You have to show strength. You have to be strong. 758 00:40:14,080 --> 00:40:16,920 Speaker 2: The scene was followed by a cutaway shot which edited 759 00:40:17,000 --> 00:40:21,080 Speaker 2: out Trump calling for his supporters to peacefully and patriotically 760 00:40:21,120 --> 00:40:25,440 Speaker 2: make their voices heard. So there is that that's going 761 00:40:25,480 --> 00:40:28,879 Speaker 2: on in Australia. But that's not the only one. There's 762 00:40:29,000 --> 00:40:32,640 Speaker 2: also Swedish media that is taking President Trump out of 763 00:40:32,680 --> 00:40:36,640 Speaker 2: context and cutting it and editing it deceptively. This is 764 00:40:36,680 --> 00:40:39,759 Speaker 2: the clip from Swedish media. I believe it is in Swedish, 765 00:40:39,840 --> 00:40:41,839 Speaker 2: so we don't get to necessary. I'll just go ahead 766 00:40:41,840 --> 00:40:44,759 Speaker 2: and play the clip. And well, I can't translate because 767 00:40:44,760 --> 00:40:48,080 Speaker 2: I don't speak Swedish, or if that's what the Swedish 768 00:40:48,160 --> 00:40:50,600 Speaker 2: language is even called. I guess I need to spend 769 00:40:50,600 --> 00:40:53,960 Speaker 2: more time at Ikea. But watch this effectively, it's the 770 00:40:54,320 --> 00:40:56,440 Speaker 2: same sort of thing, and we'll play a couple seconds 771 00:40:56,480 --> 00:40:59,160 Speaker 2: of it. Val for Skankla against a poet. 772 00:40:59,600 --> 00:41:02,200 Speaker 5: Another tells alt Kulminer. 773 00:41:02,960 --> 00:41:05,000 Speaker 1: We're gonna walk down and I'll be there with you. 774 00:41:05,560 --> 00:41:07,920 Speaker 1: We're gonna walk down to the capital. 775 00:41:08,280 --> 00:41:10,960 Speaker 11: We will never give up, we will never concede. 776 00:41:11,040 --> 00:41:14,799 Speaker 1: It doesn't happen, and we fight. We fight like hell. 777 00:41:15,120 --> 00:41:17,399 Speaker 11: And if you don't fight like hell, you're not gonna 778 00:41:17,440 --> 00:41:18,000 Speaker 11: have a country. 779 00:41:18,040 --> 00:41:18,480 Speaker 10: Anymore. 780 00:41:22,520 --> 00:41:25,920 Speaker 2: YEP, So it sounds like a similar thing is happening 781 00:41:25,960 --> 00:41:29,359 Speaker 2: there in Sweden, in which case there's no way that 782 00:41:29,400 --> 00:41:33,160 Speaker 2: these are the only networks that edited that. I mean, 783 00:41:33,160 --> 00:41:36,360 Speaker 2: obviously the US media did that to a huge extent, 784 00:41:36,920 --> 00:41:40,839 Speaker 2: but apparently it's happening worldwide. And I'm looking forward to 785 00:41:40,920 --> 00:41:45,120 Speaker 2: all of the Internet sloths who look at slus as 786 00:41:45,120 --> 00:41:47,160 Speaker 2: is generally a derogatory term, that's not what I mean, 787 00:41:47,560 --> 00:41:49,600 Speaker 2: the types of people that go through everything on the 788 00:41:49,600 --> 00:41:53,080 Speaker 2: Internet and decipher what is right and wrong. We very 789 00:41:53,160 --> 00:41:55,800 Speaker 2: much appreciate the job that those people do, and hopefully 790 00:41:55,920 --> 00:41:59,000 Speaker 2: not hopefully, I think they're probably going to uncover even 791 00:41:59,239 --> 00:42:02,040 Speaker 2: more of this t wwhich. Again, my question is who 792 00:42:02,160 --> 00:42:06,520 Speaker 2: didn't deceptively edit President Trump's speech? Now, again speaking to 793 00:42:06,560 --> 00:42:09,239 Speaker 2: President Trump, this is the type of thing that they 794 00:42:09,400 --> 00:42:10,800 Speaker 2: don't want you to see. 795 00:42:11,080 --> 00:42:12,840 Speaker 1: And I'm not sure if you guys all saw it. 796 00:42:12,880 --> 00:42:16,200 Speaker 2: I saw this on TMZ because for some reason I 797 00:42:16,320 --> 00:42:20,400 Speaker 2: like following entertainment news. But when Ozzy Osbourne died, President 798 00:42:20,440 --> 00:42:24,680 Speaker 2: Trump actually called Sharon Osbourne and left a voicemail. And 799 00:42:25,080 --> 00:42:28,280 Speaker 2: I guarantee you all of the people that deceptively edited 800 00:42:28,320 --> 00:42:32,600 Speaker 2: President Trump's January sixth did not report on this because 801 00:42:32,640 --> 00:42:34,880 Speaker 2: this makes Trump look like the nice guy that he 802 00:42:34,960 --> 00:42:36,600 Speaker 2: actually is. Played this cut six. 803 00:42:38,120 --> 00:42:40,320 Speaker 6: I mean, should we play the voicemail? 804 00:42:43,800 --> 00:42:46,239 Speaker 1: I'm saying who it's from? Everyone everyone will know. 805 00:42:49,239 --> 00:42:51,560 Speaker 11: Are sharing its subtle Trump and I just wanted to 806 00:42:51,560 --> 00:42:55,320 Speaker 11: wish you the best and the family of great OZI 807 00:42:55,440 --> 00:42:58,080 Speaker 11: was amazing. He was an amazing guy. I met him 808 00:42:58,640 --> 00:43:01,120 Speaker 11: a few times and I wanted to it was unique 809 00:43:01,200 --> 00:43:04,359 Speaker 11: in every way and talented. So I just wanted to 810 00:43:04,480 --> 00:43:07,120 Speaker 11: wish you the best. And it's a tough thing. I 811 00:43:07,200 --> 00:43:09,480 Speaker 11: know how close you were and whatever I can do, 812 00:43:09,560 --> 00:43:12,120 Speaker 11: take care of yourself. SAILO to the family. Thanks by. 813 00:43:14,920 --> 00:43:18,000 Speaker 2: Love him or hate him, he didn't have to call 814 00:43:18,080 --> 00:43:19,000 Speaker 2: and leave a voicemail. 815 00:43:20,440 --> 00:43:26,040 Speaker 6: Listen, when it comes to politics, we know nobody comes 816 00:43:26,080 --> 00:43:27,040 Speaker 6: out or winner. 817 00:43:29,600 --> 00:43:29,960 Speaker 1: Interesting. 818 00:43:30,000 --> 00:43:32,840 Speaker 2: There's actually more footage there, but that's okay. Well you 819 00:43:32,880 --> 00:43:34,920 Speaker 2: can go find it. We'll share it on the internet. 820 00:43:34,920 --> 00:43:36,960 Speaker 2: But Sharon basically said I spent a month with him 821 00:43:37,360 --> 00:43:41,440 Speaker 2: on his set of The Apprentice, and she had nothing 822 00:43:41,520 --> 00:43:44,239 Speaker 2: bad to say, like him and Millennia were great. They 823 00:43:44,239 --> 00:43:46,879 Speaker 2: were super gracious and kind to all of us. And 824 00:43:47,320 --> 00:43:49,760 Speaker 2: that's the type of stuff that the lib media never 825 00:43:50,160 --> 00:43:55,160 Speaker 2: ever plays again a message when Ozzy Osbourne passed, President 826 00:43:55,160 --> 00:43:57,040 Speaker 2: Trump says, hey, this is tough. 827 00:43:57,360 --> 00:44:02,080 Speaker 1: And also to remember, Kelly Osbourne was got a huge 828 00:44:02,120 --> 00:44:05,560 Speaker 1: backlash from everybody, including Libs, when she went on the 829 00:44:05,640 --> 00:44:07,360 Speaker 1: View when President Trump was running the first time, and 830 00:44:07,400 --> 00:44:09,200 Speaker 1: I think she said something along the lines of. 831 00:44:09,600 --> 00:44:12,200 Speaker 2: Who's gonna clean if you deport all of the immigrants, 832 00:44:12,200 --> 00:44:16,320 Speaker 2: who's gonna clean your toilets? And even the Libs are like, whoa, 833 00:44:16,880 --> 00:44:20,640 Speaker 2: that's that's not that that doesn't make us look good 834 00:44:21,000 --> 00:44:23,319 Speaker 2: in this case. But what I'm basically saying is that 835 00:44:23,320 --> 00:44:26,400 Speaker 2: they're not fans. I think politically speaking. I don't know 836 00:44:26,400 --> 00:44:28,160 Speaker 2: about Sharon, and I don't know about Jack, but Kelly 837 00:44:28,360 --> 00:44:30,600 Speaker 2: definitely not a fan. Kelly Osborne, by the way, but 838 00:44:30,600 --> 00:44:32,960 Speaker 2: I don't want to bury the lead. Ozzy Osborne's daughter, 839 00:44:33,920 --> 00:44:36,640 Speaker 2: but his whole family got a voicemail from the President 840 00:44:36,640 --> 00:44:40,680 Speaker 2: of the United States when they're patriarch passed away, and 841 00:44:41,800 --> 00:44:45,680 Speaker 2: just goes to show that the guy is a different 842 00:44:45,760 --> 00:44:49,840 Speaker 2: person than the media continues to try and make you 843 00:44:49,920 --> 00:44:52,960 Speaker 2: believe you don't hate the media enough, and you especially 844 00:44:53,040 --> 00:44:56,160 Speaker 2: don't hate the global media enough. The BBC, the Azsie 845 00:44:56,200 --> 00:44:59,960 Speaker 2: broadcasting folks and our friends in Sweden for some reas, 846 00:45:01,040 --> 00:45:04,640 Speaker 2: So what else is new? They hate conservatives and they 847 00:45:04,640 --> 00:45:06,600 Speaker 2: hate the way that we view the. 848 00:45:06,520 --> 00:45:08,719 Speaker 1: World, but is what it is. 849 00:45:09,080 --> 00:45:11,319 Speaker 2: We've got some interesting footage from CNN that I like 850 00:45:11,360 --> 00:45:13,480 Speaker 2: to play for you in our last segment. Kind of fun, 851 00:45:13,560 --> 00:45:16,440 Speaker 2: kind of lighthearted, as well as a very very lighthearted 852 00:45:16,480 --> 00:45:18,440 Speaker 2: clip from the President that I don't know that you 853 00:45:18,560 --> 00:45:21,440 Speaker 2: have seen that you're not gonna want to miss. TPTATPUSA 854 00:45:21,520 --> 00:45:23,279 Speaker 2: dot com is the email address. Will be right back 855 00:45:23,320 --> 00:45:32,920 Speaker 2: after the break. Don't go away, Welcome back to Turning 856 00:45:32,920 --> 00:45:33,359 Speaker 2: Point tonight. 857 00:45:33,400 --> 00:45:33,759 Speaker 1: We're together. 858 00:45:33,760 --> 00:45:36,880 Speaker 2: We're charting the course of America's cultural comeback. TPT ATPUSA 859 00:45:36,960 --> 00:45:39,080 Speaker 2: dot com is the email. Also, go subscribe to our 860 00:45:39,160 --> 00:45:41,279 Speaker 2: YouTube channel where you get unseen footage that we just 861 00:45:41,320 --> 00:45:43,880 Speaker 2: can't squeeze into the finite period that we have with 862 00:45:43,920 --> 00:45:46,680 Speaker 2: you here on Real America's Voice. I want to get 863 00:45:46,760 --> 00:45:52,040 Speaker 2: quickly away to what I I it. It blows my mind. 864 00:45:52,239 --> 00:45:53,919 Speaker 2: I'm not even gonna set this up. This is well 865 00:45:54,880 --> 00:45:56,319 Speaker 2: I say, I'm not gonna set it up, and here 866 00:45:56,360 --> 00:45:58,520 Speaker 2: I am setting it up. This is Abby Phillips, host 867 00:45:58,520 --> 00:46:00,480 Speaker 2: of that debate show on scene and then where we 868 00:46:00,520 --> 00:46:04,440 Speaker 2: see Scott Jennings just ruining people's ideology, which is just 869 00:46:04,480 --> 00:46:07,000 Speaker 2: so much fun to watch each and every night on CNN. 870 00:46:07,840 --> 00:46:11,360 Speaker 2: Here's her with Joy Reid, former talk show host and 871 00:46:11,560 --> 00:46:16,719 Speaker 2: Dei Harvard grad talking about the truth and who was 872 00:46:16,760 --> 00:46:19,160 Speaker 2: presenting the truth and who doesn't have the truth at 873 00:46:19,200 --> 00:46:20,080 Speaker 2: their fingertips. 874 00:46:20,760 --> 00:46:21,399 Speaker 1: Watch this cut. 875 00:46:21,400 --> 00:46:25,600 Speaker 5: Three conservatives are living in a completely different information world 876 00:46:26,120 --> 00:46:31,279 Speaker 5: and liberals, and breaking that down needs to be done 877 00:46:31,760 --> 00:46:36,439 Speaker 5: because when you don't ever even hear the facts, it's 878 00:46:36,440 --> 00:46:39,440 Speaker 5: hard to even know that you're wrong. And that happens 879 00:46:39,480 --> 00:46:44,439 Speaker 5: a lot. I mean, half my job sometimes is knowing 880 00:46:44,480 --> 00:46:47,560 Speaker 5: what the latest conspiracy is so that if it comes up, 881 00:46:48,000 --> 00:46:51,000 Speaker 5: I'm ready to address it. Because it happens a lot 882 00:46:51,040 --> 00:46:54,040 Speaker 5: where people don't even know that what they're saying or 883 00:46:54,080 --> 00:46:59,120 Speaker 5: what they've seen and believe is not true. And so 884 00:46:59,239 --> 00:47:01,960 Speaker 5: that happens, and I don't I don't come away from 885 00:47:01,960 --> 00:47:06,080 Speaker 5: that saying what's the point of this? People are just 886 00:47:06,120 --> 00:47:09,040 Speaker 5: saying false things. I think that one time that that 887 00:47:09,080 --> 00:47:11,520 Speaker 5: person brings up something that is debunked and false and 888 00:47:11,560 --> 00:47:14,919 Speaker 5: I debunk it at the table, might be the very 889 00:47:14,960 --> 00:47:18,160 Speaker 5: first time that sayone out there has heard an alternative 890 00:47:18,200 --> 00:47:18,800 Speaker 5: point of view. 891 00:47:20,800 --> 00:47:23,880 Speaker 2: I'm sorry, my mouth turned into a fly trap. I 892 00:47:23,920 --> 00:47:28,520 Speaker 2: gotta pick up my jaw off the floor. What what 893 00:47:28,560 --> 00:47:31,520 Speaker 2: the hell are you talking about? Yeah, you know, the conservatives, 894 00:47:31,520 --> 00:47:33,000 Speaker 2: they're the ones that are. 895 00:47:32,960 --> 00:47:36,200 Speaker 1: Just they just don't they don't know the truth. Did 896 00:47:36,239 --> 00:47:38,319 Speaker 1: we miss the whole Fauci fever thing? 897 00:47:38,680 --> 00:47:38,919 Speaker 4: Yes? 898 00:47:40,040 --> 00:47:43,000 Speaker 1: Did we miss the idea that masks don't actually work? 899 00:47:43,040 --> 00:47:44,840 Speaker 1: And then say that did we miss all that? 900 00:47:44,960 --> 00:47:45,200 Speaker 7: Yes? 901 00:47:46,080 --> 00:47:48,360 Speaker 2: Did we miss the fact that Joe Biden was a senile, 902 00:47:48,440 --> 00:47:51,640 Speaker 2: doddering old man and occupying the Oval Office? Yes, we 903 00:47:51,719 --> 00:47:55,319 Speaker 2: did miss all of that. But it's conservatives who have 904 00:47:55,400 --> 00:47:58,600 Speaker 2: no idea what they're talking about on anything because they 905 00:47:58,719 --> 00:47:59,920 Speaker 2: don't know the facts. 906 00:48:00,040 --> 00:48:02,960 Speaker 1: Y okay, good. 907 00:48:03,320 --> 00:48:04,839 Speaker 2: I don't even know how much we need to argue 908 00:48:04,840 --> 00:48:09,600 Speaker 2: with that, because that's just so abundantly evident, as like, 909 00:48:09,680 --> 00:48:13,680 Speaker 2: all right, if you think that that's the case, case closed, 910 00:48:13,800 --> 00:48:16,440 Speaker 2: argument over, good luck with that. 911 00:48:17,239 --> 00:48:20,480 Speaker 1: Thank you for playing also too, it's just so much. 912 00:48:20,840 --> 00:48:22,440 Speaker 1: I don't need to go on about Scott Jennings. 913 00:48:22,480 --> 00:48:24,640 Speaker 2: But if you've seen the clips on the internet or 914 00:48:24,719 --> 00:48:26,600 Speaker 2: for some reason you punish yourself for your sins by 915 00:48:26,640 --> 00:48:29,279 Speaker 2: watching scene and every night, it is actually fantastic to 916 00:48:29,280 --> 00:48:31,360 Speaker 2: watch him sit around that table and just pick apart 917 00:48:31,400 --> 00:48:34,240 Speaker 2: all of the bad ideas that the Libs have, which 918 00:48:34,280 --> 00:48:38,040 Speaker 2: is he does every single night. We'll wrapping up here 919 00:48:38,040 --> 00:48:41,400 Speaker 2: with this hilarious video that I'm not sure much a 920 00:48:41,440 --> 00:48:45,359 Speaker 2: bunch of people saw. This is President Trump with one 921 00:48:45,400 --> 00:48:47,760 Speaker 2: of the leaders some Middle Eastern country. 922 00:48:47,800 --> 00:48:48,560 Speaker 1: I'm not even sure. 923 00:48:48,719 --> 00:48:51,560 Speaker 2: It doesn't even matter because the president tre he's giving 924 00:48:51,600 --> 00:48:56,239 Speaker 2: him cologne and what he says might be the funniest 925 00:48:56,320 --> 00:48:58,520 Speaker 2: thing that a president has ever said. 926 00:48:58,880 --> 00:49:06,680 Speaker 1: Watch this. And then the other one is your wife, Guys, 927 00:49:06,719 --> 00:49:07,359 Speaker 1: I never know. 928 00:49:08,560 --> 00:49:09,040 Speaker 8: I never. 929 00:49:14,200 --> 00:49:16,640 Speaker 1: This is uh, take take this one for you and 930 00:49:16,680 --> 00:49:18,319 Speaker 1: the other one for your wife. Well, how many wives 931 00:49:18,320 --> 00:49:19,600 Speaker 1: do you have? One? Just one? 932 00:49:19,719 --> 00:49:20,000 Speaker 8: Okay? 933 00:49:21,680 --> 00:49:24,080 Speaker 1: Who says that? Who said? The President of the United 934 00:49:24,120 --> 00:49:28,840 Speaker 1: States says that? And also might be right. That's a 935 00:49:28,840 --> 00:49:31,160 Speaker 1: good question. You never know in that part of the 936 00:49:31,200 --> 00:49:33,440 Speaker 1: world specifically, you never know. How many wives do you 937 00:49:33,520 --> 00:49:39,880 Speaker 1: have one to just one? Good? I never know, never know. 938 00:49:41,520 --> 00:49:41,920 Speaker 1: Fun one. 939 00:49:41,960 --> 00:49:44,160 Speaker 2: Tpt at tps dot com is the email if you'd 940 00:49:44,160 --> 00:49:46,680 Speaker 2: like to send your thoughts, comments, concerns, criticisms. Also go 941 00:49:46,719 --> 00:49:49,280 Speaker 2: subscribe to our YouTube channel. We will see it tomorrow, 942 00:49:49,440 --> 00:49:52,320 Speaker 2: same time, same place right here, in real America's voice. 943 00:49:52,560 --> 00:49:59,520 Speaker 1: God bless America.