1 00:00:09,000 --> 00:00:13,160 Speaker 1: News flash, Biden lied and now millions of Americans are 2 00:00:13,280 --> 00:00:16,239 Speaker 1: paying the price. Again. Not sure where we've heard that 3 00:00:16,360 --> 00:00:21,600 Speaker 1: headline before. Also, illegals may be exploiting our insurance systems. 4 00:00:21,600 --> 00:00:25,040 Speaker 1: A new bombshell report sent by Congressional Republicans over to 5 00:00:25,160 --> 00:00:29,360 Speaker 1: the DOJ and straight people do they exist? Well not 6 00:00:29,440 --> 00:00:32,360 Speaker 1: according to this Brockway star, which is kind of a 7 00:00:32,479 --> 00:00:34,960 Speaker 1: hilarious story. All that more coming up on this episode 8 00:00:34,960 --> 00:00:36,680 Speaker 1: of Turning Point Tonight. My name is Joe Bob. Thanks 9 00:00:36,680 --> 00:00:38,839 Speaker 1: so much for tuning in. Together. We are charting the 10 00:00:38,840 --> 00:00:41,960 Speaker 1: course of America's cultural comeback. This is Turning Point tonight. 11 00:00:42,479 --> 00:00:44,199 Speaker 1: And before we get to any of those stories and 12 00:00:44,360 --> 00:00:47,159 Speaker 1: to our fantastic panel, we've got to turn our gaze 13 00:00:47,360 --> 00:00:53,160 Speaker 1: yet again to the hilariously misrun state of corrupt Defornia. Sorry, California. 14 00:00:53,200 --> 00:00:55,560 Speaker 1: I don't know where it's Freudian slip or something like that. 15 00:00:56,080 --> 00:01:00,440 Speaker 1: California was put on blast by the Trump administration in 16 00:01:00,520 --> 00:01:04,440 Speaker 1: a recent report issued by the Secretary of Transportation Sean Duffy. 17 00:01:04,440 --> 00:01:08,080 Speaker 1: In the three hundred and ten page report, it outlined 18 00:01:08,319 --> 00:01:13,639 Speaker 1: how bad of a deal the California High Speed Rail 19 00:01:14,080 --> 00:01:17,560 Speaker 1: train project is. If you don't know about this first 20 00:01:17,600 --> 00:01:20,640 Speaker 1: of all, you should The California High Speed Rail Project 21 00:01:21,080 --> 00:01:23,920 Speaker 1: is no longer a high speed rail, but was approved 22 00:01:23,920 --> 00:01:25,679 Speaker 1: by voters in two thousand and eight to be an 23 00:01:25,720 --> 00:01:30,040 Speaker 1: eight hundred mile rail that was supposed to be completed 24 00:01:30,480 --> 00:01:35,480 Speaker 1: in twenty twenty for three thirty three billion dollars. It 25 00:01:35,560 --> 00:01:38,399 Speaker 1: included a stretch of around five hundred miles that went 26 00:01:38,400 --> 00:01:42,119 Speaker 1: from San Diego to Sacramento, the entire stretch of the state. 27 00:01:42,760 --> 00:01:47,200 Speaker 1: Since then, in twenty nineteen, Governor Gavin Newsom LIB came 28 00:01:47,240 --> 00:01:50,800 Speaker 1: out and said, well, okay, so it's not done by 29 00:01:50,840 --> 00:01:53,880 Speaker 1: twenty twenty because I'm looking around and there's there's really 30 00:01:53,920 --> 00:01:57,680 Speaker 1: no track laid. And actually, instead of going the five 31 00:01:57,760 --> 00:02:00,000 Speaker 1: hundred mile stretch, it's gonna go one hundred and seventy 32 00:02:00,120 --> 00:02:04,520 Speaker 1: one miles from Merced to Bakersfield. And if you're around 33 00:02:04,560 --> 00:02:07,600 Speaker 1: the country going what the heck is Merced in Bakersfield, 34 00:02:08,000 --> 00:02:11,560 Speaker 1: that's what we in California think too not popular cities 35 00:02:11,600 --> 00:02:14,840 Speaker 1: for people to have to travel between. And yet California 36 00:02:15,240 --> 00:02:19,520 Speaker 1: the ballooning price is now up to seventy seven billion dollars. 37 00:02:19,560 --> 00:02:23,040 Speaker 1: So it increased in price, it decreased in value, it 38 00:02:23,160 --> 00:02:27,040 Speaker 1: extended the time frame, and for some reason we're still 39 00:02:27,080 --> 00:02:31,079 Speaker 1: doing it. Thankfully. Sean Duffy, the Transportation Secretary, is saying, hey, 40 00:02:31,560 --> 00:02:34,280 Speaker 1: no more federal money going to this program, or at 41 00:02:34,360 --> 00:02:37,639 Speaker 1: least we're looking at canceling all the federal money going 42 00:02:37,639 --> 00:02:41,200 Speaker 1: to this program. You have until July eleventh to justify 43 00:02:41,400 --> 00:02:45,600 Speaker 1: why you need more money, to which I said, why 44 00:02:45,639 --> 00:02:48,040 Speaker 1: is there any federal money going to this? Turns out 45 00:02:48,360 --> 00:02:50,760 Speaker 1: there's a lot of federal money going to this. Since 46 00:02:50,800 --> 00:02:56,560 Speaker 1: twenty ten, the federal government has given California seven billion 47 00:02:56,720 --> 00:03:00,200 Speaker 1: dollars and not a single foot of new track has 48 00:03:00,240 --> 00:03:03,280 Speaker 1: been laid. I wonder why they call it corrupt Defornia. 49 00:03:03,880 --> 00:03:06,239 Speaker 1: Aside from that, I would just like to point out 50 00:03:06,320 --> 00:03:11,080 Speaker 1: personally by myself, if you need zero feet of track laid, 51 00:03:11,760 --> 00:03:14,720 Speaker 1: I'll do it for half. That's right. American taxpayers get 52 00:03:14,760 --> 00:03:17,320 Speaker 1: a discount three point five billion dollars and I will 53 00:03:17,400 --> 00:03:22,079 Speaker 1: lay zero feet of train in the state of California. 54 00:03:22,240 --> 00:03:24,360 Speaker 1: Here the comments on that and so much more. As 55 00:03:24,480 --> 00:03:28,519 Speaker 1: Box contributor Siaka Massacoy and conservative commentator Lily Kate, guys, 56 00:03:28,520 --> 00:03:31,000 Speaker 1: thanks so much for joining us. Even though I'm here 57 00:03:31,000 --> 00:03:34,120 Speaker 1: in California, it feels corrupt, but I appreciate. 58 00:03:33,720 --> 00:03:36,920 Speaker 2: Having you, thanks for having us man. 59 00:03:38,320 --> 00:03:42,520 Speaker 1: Siakas as a California refugee. I hope I don't. I 60 00:03:42,560 --> 00:03:44,400 Speaker 1: hope that's okay to put that out there. But as 61 00:03:44,400 --> 00:03:46,600 Speaker 1: a person who lived here, you know, I've been looking around. 62 00:03:46,800 --> 00:03:49,000 Speaker 1: I haven't seen the train, and it was supposed to 63 00:03:49,000 --> 00:03:50,880 Speaker 1: be done in twenty twenty. They push it to twenty 64 00:03:50,880 --> 00:03:53,360 Speaker 1: thirty three. New reports are now saying we're probably not 65 00:03:53,400 --> 00:03:57,440 Speaker 1: even gonna make that deadline. What gifts, I mean to 66 00:03:57,520 --> 00:03:59,400 Speaker 1: California's just at this point deserve this? 67 00:04:00,360 --> 00:04:01,760 Speaker 2: Uh no, we don't. 68 00:04:01,800 --> 00:04:04,960 Speaker 3: But here's the fun part, because I actually I voted 69 00:04:05,000 --> 00:04:06,720 Speaker 3: for that back in eight when I was still in 70 00:04:06,880 --> 00:04:11,240 Speaker 3: LA And a little caveat is that we're actually still 71 00:04:11,280 --> 00:04:14,680 Speaker 3: been paying taxes for that this entire time. So not 72 00:04:14,760 --> 00:04:17,400 Speaker 3: only have they been getting federal money, but they've made well, 73 00:04:17,400 --> 00:04:19,400 Speaker 3: which is technically our money anyway, but they've been getting 74 00:04:19,400 --> 00:04:23,080 Speaker 3: our money directly from the state of California for a 75 00:04:23,160 --> 00:04:26,960 Speaker 3: train to nowhere. Oh my goodness. If the scam wasn't 76 00:04:27,040 --> 00:04:29,480 Speaker 3: so real, you wouldn't believe it. In the movie guys, 77 00:04:30,279 --> 00:04:31,200 Speaker 3: all I heard there. 78 00:04:31,160 --> 00:04:33,840 Speaker 1: Is was Siaka's fault. Siaka is the reason that this 79 00:04:33,960 --> 00:04:38,159 Speaker 1: train that exists, and it exist, I mean doesn't exist, Lily. 80 00:04:38,480 --> 00:04:41,159 Speaker 1: I think one of the biggest most interesting things about 81 00:04:41,160 --> 00:04:43,440 Speaker 1: this is Gavin Newsom is out there saying, well, look 82 00:04:43,440 --> 00:04:46,120 Speaker 1: hold on, we're past all of the environmental studies and 83 00:04:46,160 --> 00:04:48,400 Speaker 1: the land purchases. In other words, the hard part is 84 00:04:48,480 --> 00:04:51,240 Speaker 1: behind us. This is a big tack that lives are 85 00:04:51,240 --> 00:04:53,479 Speaker 1: now trying to take. They're talking about, well, we're going 86 00:04:53,520 --> 00:04:56,800 Speaker 1: to do abundance by cutting red tape, which ironically is 87 00:04:56,800 --> 00:04:59,440 Speaker 1: the red tape that they put in place. Are they 88 00:04:59,440 --> 00:05:01,200 Speaker 1: gonna get away this politically speaking? 89 00:05:01,240 --> 00:05:04,040 Speaker 4: Do you think, well, they're gonna get away with it 90 00:05:04,080 --> 00:05:06,800 Speaker 4: because California is just going to keep making the same 91 00:05:06,839 --> 00:05:09,560 Speaker 4: mistakes over and over again. What is it with Blue 92 00:05:09,600 --> 00:05:13,720 Speaker 4: states and not being able to keep railways effectively functioning. 93 00:05:13,920 --> 00:05:16,400 Speaker 4: I mean, look at the New York subway system. We 94 00:05:16,520 --> 00:05:19,440 Speaker 4: know it's a total disaster. It's where so much degeneracy 95 00:05:19,520 --> 00:05:23,560 Speaker 4: and danger and violence occur. Like every single day, every 96 00:05:23,600 --> 00:05:25,560 Speaker 4: day I go on X and I see another clip 97 00:05:25,600 --> 00:05:29,160 Speaker 4: of someone doing something heinous on any kind of subway 98 00:05:29,160 --> 00:05:31,560 Speaker 4: in a major city, and so I'm just wondering what 99 00:05:31,680 --> 00:05:32,000 Speaker 4: it is. 100 00:05:32,040 --> 00:05:34,240 Speaker 5: From Pete Buddha Jeedge having his obsession with. 101 00:05:34,240 --> 00:05:39,279 Speaker 4: Trains from California, double dipping into California taxpayers money and 102 00:05:39,279 --> 00:05:44,159 Speaker 4: also federal workers and federal funds for this railway. I'm 103 00:05:44,240 --> 00:05:47,479 Speaker 4: just wondering why the obsession with trains in America, because 104 00:05:47,520 --> 00:05:50,520 Speaker 4: clearly we're not that good at it, So just wondering there. 105 00:05:51,640 --> 00:05:54,640 Speaker 1: I think it's the former president's obsessions with trains. It's 106 00:05:54,680 --> 00:05:57,359 Speaker 1: a here comes the train, open wide. Here's the Jello 107 00:05:57,839 --> 00:06:01,240 Speaker 1: type of situation there. Speaking of CORR option, this I 108 00:06:01,279 --> 00:06:05,039 Speaker 1: thought was fascinating and super unreported, or at least I'm 109 00:06:05,080 --> 00:06:08,120 Speaker 1: not hearing many people talk about this. Illegals coming into 110 00:06:08,160 --> 00:06:12,920 Speaker 1: the country are apparently exploiting some of the insurance policies 111 00:06:13,080 --> 00:06:16,720 Speaker 1: or schemes. According to House Republicans. Mike Collins, who leads 112 00:06:16,720 --> 00:06:20,880 Speaker 1: a House Republican Commission against the Coalition against Insurance Frauds, 113 00:06:20,880 --> 00:06:24,080 Speaker 1: submitted a report to Pambondi and the DOJ saying, Hey, 114 00:06:24,240 --> 00:06:26,159 Speaker 1: there are a bunch of illegals in this country that 115 00:06:26,200 --> 00:06:29,760 Speaker 1: are staging commercial truck accidents in order to collect on 116 00:06:29,880 --> 00:06:34,200 Speaker 1: insurance and then repay the coyotes for getting them across 117 00:06:34,200 --> 00:06:37,680 Speaker 1: the border. Lily, this it's one of those where like 118 00:06:37,720 --> 00:06:39,880 Speaker 1: insurance fraud is something that we should always be fighting, 119 00:06:40,560 --> 00:06:42,960 Speaker 1: and the fact that illegals are now doing it just 120 00:06:42,960 --> 00:06:46,520 Speaker 1: seems to compound on the thing that we should already 121 00:06:46,600 --> 00:06:49,960 Speaker 1: trying to be stopped. So, I mean, I don't know 122 00:06:50,000 --> 00:06:52,520 Speaker 1: why I haven't seen anything about this. Maybe you have. 123 00:06:52,760 --> 00:06:55,120 Speaker 1: Is this getting the coverage that you think it deserves. 124 00:06:56,040 --> 00:06:58,239 Speaker 4: Well, I think we need to be talking about this more, 125 00:06:58,320 --> 00:07:00,920 Speaker 4: and not for the issue of insurance fraud, because that's 126 00:07:00,960 --> 00:07:02,760 Speaker 4: a big issue, yes, and should be covered. 127 00:07:02,960 --> 00:07:04,560 Speaker 6: But I'm just amazed. 128 00:07:04,080 --> 00:07:06,960 Speaker 4: At the fact that people coming into America are such 129 00:07:07,120 --> 00:07:11,440 Speaker 4: theater kids. I mean, staging a car accident to make 130 00:07:11,480 --> 00:07:14,480 Speaker 4: sure that you get insurance money that you can exploit 131 00:07:14,560 --> 00:07:17,480 Speaker 4: the system. That's a pretty daring thing that you do, 132 00:07:18,360 --> 00:07:19,240 Speaker 4: that you can do. 133 00:07:19,880 --> 00:07:21,400 Speaker 2: To just exploit the system. 134 00:07:21,520 --> 00:07:24,200 Speaker 4: So I'm shocked, And this needs to be covered for sure, 135 00:07:24,280 --> 00:07:27,200 Speaker 4: because theater kids are getting violent and dangerous and they 136 00:07:27,280 --> 00:07:30,320 Speaker 4: need to be channeling that into musicals like Le Miz 137 00:07:30,320 --> 00:07:33,400 Speaker 4: and Phantom of the Opera, not at our federal government. 138 00:07:34,000 --> 00:07:35,600 Speaker 1: Yeah, yeah, I don't know. I don't know if we 139 00:07:35,680 --> 00:07:38,320 Speaker 1: need more of those too. But also I understand your 140 00:07:38,360 --> 00:07:42,080 Speaker 1: point Siaka as a as a theater kid, you know 141 00:07:42,920 --> 00:07:45,760 Speaker 1: you know not to go into your background, but yes, 142 00:07:46,240 --> 00:07:48,400 Speaker 1: I thought this was interesting. This was from Breitbart. Oh 143 00:07:48,440 --> 00:07:50,760 Speaker 1: actually sorry, this was from the actual report. They list 144 00:07:50,880 --> 00:07:54,160 Speaker 1: a specific individual who was an illegal immigrant from Ecuador 145 00:07:54,400 --> 00:07:58,680 Speaker 1: who filed a workers' compensation claims two months after arriving 146 00:07:58,720 --> 00:08:01,280 Speaker 1: in the US. Then we use the fifteen thousand dollars 147 00:08:01,320 --> 00:08:03,760 Speaker 1: in litigation loans and six thousand dollars from workers comp 148 00:08:03,760 --> 00:08:06,040 Speaker 1: to subtle a twenty one thousand dollars payments to the 149 00:08:06,080 --> 00:08:10,320 Speaker 1: coyote that got him across the board. I say this 150 00:08:10,400 --> 00:08:13,800 Speaker 1: all the time. Cartels are evil, They're not stupid, and 151 00:08:13,880 --> 00:08:15,960 Speaker 1: being able to exploit is one of the biggest loopholes. 152 00:08:15,960 --> 00:08:17,360 Speaker 1: I feel like we have to close. 153 00:08:18,240 --> 00:08:21,240 Speaker 3: Hold on, hold on, let me channel my theater kid. 154 00:08:23,800 --> 00:08:24,080 Speaker 6: Color. 155 00:08:24,520 --> 00:08:28,320 Speaker 3: That's my shocked and I can't believe that people who 156 00:08:28,360 --> 00:08:31,960 Speaker 3: criminally came into the country would commit more criminality. Oh 157 00:08:32,000 --> 00:08:35,200 Speaker 3: my goodness, how is that even possible. Look, this is 158 00:08:35,440 --> 00:08:38,480 Speaker 3: all just part of the big scheme to strip America 159 00:08:38,480 --> 00:08:41,719 Speaker 3: of its wealth, to break us down to kneecap us 160 00:08:41,760 --> 00:08:44,480 Speaker 3: if you will, they open this border, they opened up 161 00:08:44,520 --> 00:08:47,000 Speaker 3: everything else. We saw a guy just fire bombing people 162 00:08:47,000 --> 00:08:49,000 Speaker 3: when they're walking on the street. We see people all 163 00:08:49,000 --> 00:08:54,040 Speaker 3: the time participating in those peaceful protests at college's college campuses. 164 00:08:54,080 --> 00:08:56,760 Speaker 3: They don't even go to school there, So I am 165 00:08:56,800 --> 00:08:59,680 Speaker 3: not surprised. We're gonna there's still more to shake out 166 00:08:59,679 --> 00:09:03,079 Speaker 3: in this, uh during a Biden regime that we we 167 00:09:03,160 --> 00:09:06,000 Speaker 3: saw and didn't even know if he was actually functioning during. 168 00:09:06,080 --> 00:09:08,720 Speaker 3: So no, I'm not shocked at all. I'm just uh, 169 00:09:09,520 --> 00:09:12,040 Speaker 3: and I'm not really surprised that mainstream media isn't talking 170 00:09:12,040 --> 00:09:15,439 Speaker 3: about it, because remember, illegals don't don't commit crimes. 171 00:09:15,440 --> 00:09:16,440 Speaker 2: It's only Americans. 172 00:09:16,640 --> 00:09:17,640 Speaker 3: It's only Americans. 173 00:09:17,920 --> 00:09:20,760 Speaker 1: Yeah, illegals are are They're they're known for not committing 174 00:09:20,760 --> 00:09:24,600 Speaker 1: any crimes, following every single rule, and uh yeah, that's 175 00:09:24,600 --> 00:09:27,400 Speaker 1: that's what the lib mindset things. Speaking of the lib mindset, 176 00:09:27,440 --> 00:09:31,440 Speaker 1: I thought this was hilarious. A Broadway performer someone named 177 00:09:31,440 --> 00:09:33,720 Speaker 1: Renee rap I don't know who this person is, but 178 00:09:33,720 --> 00:09:37,040 Speaker 1: they did an interview with Cosmopolitan in which the interview 179 00:09:37,240 --> 00:09:42,000 Speaker 1: was just unhinged lily. She said that as a part 180 00:09:42,040 --> 00:09:44,240 Speaker 1: of the entire interview, she said, it will straight people 181 00:09:44,360 --> 00:09:47,199 Speaker 1: don't exist. They're not They're not real, which is interesting 182 00:09:47,200 --> 00:09:50,040 Speaker 1: because I remember getting in trouble for something trans people 183 00:09:50,040 --> 00:09:52,240 Speaker 1: don't exist, even though I've never actually said that, I've 184 00:09:52,240 --> 00:10:00,000 Speaker 1: been accused of saying that. Uh. I. 185 00:10:00,000 --> 00:10:03,439 Speaker 4: Well, what we do know about her as a theater 186 00:10:03,559 --> 00:10:06,480 Speaker 4: kid as well is she actually was on Mean Girls, 187 00:10:06,920 --> 00:10:09,400 Speaker 4: the musical, so she really just took that and applied 188 00:10:09,400 --> 00:10:12,640 Speaker 4: that to real life. But she has continually said that 189 00:10:13,280 --> 00:10:15,520 Speaker 4: the people that surround her, or the people in her 190 00:10:15,559 --> 00:10:18,960 Speaker 4: community are not straight, and so it very much well, 191 00:10:19,040 --> 00:10:21,280 Speaker 4: it very might well be true that in her community 192 00:10:21,320 --> 00:10:23,520 Speaker 4: there are actually no straight people, because as we know, 193 00:10:23,600 --> 00:10:26,560 Speaker 4: Broadway is full of people who are all various types 194 00:10:26,600 --> 00:10:30,960 Speaker 4: of sexuality and not straight. So wouldn't be surprised if 195 00:10:31,000 --> 00:10:33,640 Speaker 4: she actually legitimately doesn't know a straight person. But she 196 00:10:33,720 --> 00:10:37,120 Speaker 4: lives in a lesbian fratthouse, she says, which I'd hate 197 00:10:37,200 --> 00:10:39,400 Speaker 4: to have all of those lesbians get synced up because 198 00:10:39,400 --> 00:10:42,800 Speaker 4: that'd be a whole lot of drama. 199 00:10:42,920 --> 00:10:44,560 Speaker 1: We don't need to go into what that means, but 200 00:10:44,559 --> 00:10:47,760 Speaker 1: if you know what it means, it's funny. Siaka the 201 00:10:48,360 --> 00:10:51,600 Speaker 1: Also in the interview, she said, we have an intersectional 202 00:10:51,679 --> 00:10:54,520 Speaker 1: group of b words at the house playing Rage Cage 203 00:10:54,520 --> 00:10:57,320 Speaker 1: on Sunday for no reason. It is kind of bragging. Now, 204 00:10:57,640 --> 00:10:59,880 Speaker 1: I don't know what hell is supposed to look like. 205 00:11:00,240 --> 00:11:03,280 Speaker 1: But if you can find a better description, let me know. 206 00:11:03,480 --> 00:11:06,280 Speaker 1: I feel like that's that seems like my hell. 207 00:11:06,960 --> 00:11:08,880 Speaker 3: I think that's in uh. I want to say it's 208 00:11:08,880 --> 00:11:11,559 Speaker 3: in the Isaiah. I forget which one, so you may 209 00:11:11,600 --> 00:11:13,840 Speaker 3: want to check that out. But I found it funny 210 00:11:13,840 --> 00:11:16,560 Speaker 3: from the article about the lesbian frat house. So I'm like, 211 00:11:16,840 --> 00:11:18,959 Speaker 3: that means you guys are fighting and beating each other 212 00:11:19,000 --> 00:11:21,760 Speaker 3: other up more than any other relationship. You're probably breaking 213 00:11:21,840 --> 00:11:24,520 Speaker 3: up every other day, you're fall in love every other day, 214 00:11:24,520 --> 00:11:26,240 Speaker 3: and you're moving in and out of each other's rooms 215 00:11:26,280 --> 00:11:28,680 Speaker 3: every other day. So it's got to be nice and chaotic. 216 00:11:28,960 --> 00:11:31,480 Speaker 3: I would love to see that as the new Big 217 00:11:31,520 --> 00:11:34,280 Speaker 3: Brother show. I would actually finally watch That's just me 218 00:11:35,240 --> 00:11:35,800 Speaker 3: hit them. 219 00:11:35,640 --> 00:11:38,040 Speaker 1: With the stereotypes. Love it. Siack and Lily will be 220 00:11:38,120 --> 00:11:41,559 Speaker 1: right back after the break to discuss President Biden lying 221 00:11:41,679 --> 00:11:44,040 Speaker 1: to millions of Americans and now millions of Americans are 222 00:11:44,040 --> 00:11:47,400 Speaker 1: paying the price. Again not a headline that is unusual 223 00:11:47,440 --> 00:11:49,920 Speaker 1: to us, but I do think the fallout that is 224 00:11:50,000 --> 00:11:53,120 Speaker 1: now tangible is fascinating. No, boy, we be right back 225 00:11:53,160 --> 00:12:06,760 Speaker 1: after the break. Welcome back to turning Point tonight. We're together, 226 00:12:06,840 --> 00:12:09,280 Speaker 1: we are charting the course of America's cultural comeback. My 227 00:12:09,360 --> 00:12:11,120 Speaker 1: name is job Bob. Thanks so much for sticking with us. 228 00:12:11,200 --> 00:12:14,000 Speaker 1: Let's check in with Turning Points. White House correspondent Monica 229 00:12:14,080 --> 00:12:17,000 Speaker 1: Page at the White House, Monica, sounds like a busy 230 00:12:17,120 --> 00:12:18,880 Speaker 1: day care to fill us in on all of the 231 00:12:18,920 --> 00:12:20,520 Speaker 1: things going on. It says like a busy day at 232 00:12:20,520 --> 00:12:22,480 Speaker 1: the White House. And yet I repeat myself, What's what's 233 00:12:22,520 --> 00:12:25,080 Speaker 1: going on? What's your top story of the day. 234 00:12:25,880 --> 00:12:28,520 Speaker 5: Yeah, busy day as always here at the White House. Well, 235 00:12:28,520 --> 00:12:31,199 Speaker 5: as we know, President Trump signed a proclamation to increase 236 00:12:31,240 --> 00:12:34,160 Speaker 5: the teriff rate on steel and aluminum from twenty five 237 00:12:34,160 --> 00:12:36,800 Speaker 5: percent to fifty percent. Now, these are this is all 238 00:12:36,840 --> 00:12:39,360 Speaker 5: in efforts to kind of curb the competition and to 239 00:12:39,559 --> 00:12:42,880 Speaker 5: kind of bolster our national security as it pertains to 240 00:12:43,040 --> 00:12:45,880 Speaker 5: competition as well. Now, the key countries that are involved 241 00:12:45,920 --> 00:12:48,720 Speaker 5: in this that will be seeing these increase in rates 242 00:12:48,720 --> 00:12:54,079 Speaker 5: are China, Brazil, South Korea, Mexico, Canada, and also Russia. 243 00:12:54,640 --> 00:12:59,080 Speaker 5: Russia also in recent news speaking of the country, Vladimir 244 00:12:59,080 --> 00:13:01,440 Speaker 5: Putin spoke on the phone with President Trump this afternoon 245 00:13:01,559 --> 00:13:04,560 Speaker 5: for about an hour and fifteen minutes long, discussing the 246 00:13:04,600 --> 00:13:07,280 Speaker 5: attacks on both sides, and President Trump took to truth 247 00:13:07,320 --> 00:13:10,240 Speaker 5: social to say it was a good conversation, but not 248 00:13:10,440 --> 00:13:13,880 Speaker 5: one of peace just yet. So of course it's not 249 00:13:13,920 --> 00:13:16,560 Speaker 5: going to be of immediate peace. But Vladimir Putin also 250 00:13:16,600 --> 00:13:19,240 Speaker 5: said that he feels that he needs to retaliate against 251 00:13:19,240 --> 00:13:22,560 Speaker 5: the most recent strikes from Ukraine on Russian soil, on 252 00:13:22,640 --> 00:13:25,640 Speaker 5: Russian land, against those Russian drones. So we'll also see 253 00:13:25,640 --> 00:13:27,480 Speaker 5: what comes out of that. And also the two had 254 00:13:27,520 --> 00:13:31,040 Speaker 5: a conversation regarding Iran and its nuclear capabilities, making sure 255 00:13:31,040 --> 00:13:33,439 Speaker 5: that Iran never gets a hold of nuclear weapons. So 256 00:13:33,559 --> 00:13:37,720 Speaker 5: pretty hefty conversation this afternoon. But again, baby steps towards peace. 257 00:13:37,760 --> 00:13:40,360 Speaker 5: We'll see if that happens. But still those negotiating talks 258 00:13:40,400 --> 00:13:41,000 Speaker 5: are on the table. 259 00:13:41,679 --> 00:13:43,600 Speaker 1: Yeah, speaking of stuff that was coming out of the 260 00:13:43,600 --> 00:13:47,400 Speaker 1: White House. Last White House administration, there was an identity 261 00:13:47,440 --> 00:13:51,840 Speaker 1: hire the first woman, black, lesbian immigrant to be the 262 00:13:51,880 --> 00:13:54,000 Speaker 1: Press secretary of the White House, and she was very, 263 00:13:54,080 --> 00:13:55,800 Speaker 1: very bad at what she did. Her job was to 264 00:13:55,840 --> 00:13:58,120 Speaker 1: light to the American people, and she was very awful 265 00:13:58,160 --> 00:13:59,960 Speaker 1: at doing it. Not that that's a good thing in regards, 266 00:14:00,280 --> 00:14:03,440 Speaker 1: but just bad at the job. But Kareem John Pierre 267 00:14:03,920 --> 00:14:05,959 Speaker 1: is out with the new book. In order to promote 268 00:14:05,960 --> 00:14:08,319 Speaker 1: that book, she's got a special announcement. Can you fill 269 00:14:08,400 --> 00:14:09,160 Speaker 1: us in on what that is. 270 00:14:10,040 --> 00:14:12,360 Speaker 5: Well, for someone who never wanted to put herself in boxes, 271 00:14:12,440 --> 00:14:14,760 Speaker 5: she's certainly putting herself in one by now coming out 272 00:14:14,800 --> 00:14:18,280 Speaker 5: as an independent and all promoting her new book coming 273 00:14:18,320 --> 00:14:20,880 Speaker 5: out October twenty first, So be sure to check out 274 00:14:20,920 --> 00:14:23,760 Speaker 5: your local bookstore and look for that one called Independent. 275 00:14:24,440 --> 00:14:27,840 Speaker 5: A Look Inside a Broken White House. Now, it's interesting 276 00:14:27,840 --> 00:14:29,760 Speaker 5: that she's calling this a broken White House considering that 277 00:14:29,800 --> 00:14:32,120 Speaker 5: she was one of the main players and breaking that 278 00:14:32,120 --> 00:14:34,520 Speaker 5: White House and lying to the American people every day 279 00:14:34,520 --> 00:14:36,720 Speaker 5: that the president was fit to serve and then he's 280 00:14:36,720 --> 00:14:39,520 Speaker 5: a sharp and he's with it, and his poor debate 281 00:14:39,520 --> 00:14:41,480 Speaker 5: performance was because he had a cold and that he 282 00:14:41,560 --> 00:14:44,040 Speaker 5: was jet legged over and over and over again. So 283 00:14:44,200 --> 00:14:47,160 Speaker 5: pretty interesting timing because it seems like it's political theater. 284 00:14:47,280 --> 00:14:49,560 Speaker 5: She really wants to sell her book, and if she's 285 00:14:49,600 --> 00:14:52,240 Speaker 5: really wanting to be an independent, she should be kind 286 00:14:52,280 --> 00:14:56,960 Speaker 5: of dismantling this administrative state rather than rebranding herself as 287 00:14:56,960 --> 00:15:00,640 Speaker 5: somebody who has been a trade like who's taken advantage 288 00:15:00,640 --> 00:15:02,800 Speaker 5: of from the Democrat Party and someone who you know 289 00:15:02,960 --> 00:15:06,360 Speaker 5: has also been hoodwinked by the Democrat Party. It's not 290 00:15:06,400 --> 00:15:09,120 Speaker 5: necessarily a good look for the Press secretary, but nonetheless 291 00:15:09,440 --> 00:15:11,400 Speaker 5: kind of on brand considering what we dealt with over 292 00:15:11,440 --> 00:15:12,240 Speaker 5: the last four years. 293 00:15:12,520 --> 00:15:15,160 Speaker 1: Yeah, and I don't really even want to promote the 294 00:15:15,440 --> 00:15:17,240 Speaker 1: new book because I don't really want her to make 295 00:15:17,360 --> 00:15:19,560 Speaker 1: money off of this. But at the same time, I'm 296 00:15:19,640 --> 00:15:22,400 Speaker 1: fascinated about this because if at any point during the 297 00:15:22,400 --> 00:15:26,520 Speaker 1: book she says anything that looks like she have deliberately 298 00:15:26,760 --> 00:15:29,800 Speaker 1: lied on behalf of the president to the American people, 299 00:15:30,360 --> 00:15:32,680 Speaker 1: is that grounds for treason? Like is she able to 300 00:15:32,720 --> 00:15:35,240 Speaker 1: be tried for something like that? Like, I don't know, 301 00:15:36,120 --> 00:15:38,480 Speaker 1: is there any I mean anything else of the the 302 00:15:38,880 --> 00:15:41,520 Speaker 1: in the press circuit that is kind of like rolling 303 00:15:41,520 --> 00:15:44,120 Speaker 1: their eyes at this or is it just conservative media generally? 304 00:15:45,320 --> 00:15:47,680 Speaker 5: I think this is taking both sides by storm. I mean, 305 00:15:47,720 --> 00:15:50,440 Speaker 5: I've overheard some conversations from the Democrat Party as some 306 00:15:50,480 --> 00:15:52,320 Speaker 5: of the mainstream media members here who are kind of 307 00:15:52,680 --> 00:15:55,800 Speaker 5: not shaken up per se, but are definitely following this 308 00:15:55,880 --> 00:15:57,600 Speaker 5: and are definitely interested to see what she has to say. 309 00:15:57,640 --> 00:15:59,360 Speaker 5: Of course, I'm sure they're all going to be you know, 310 00:15:59,400 --> 00:16:01,600 Speaker 5: bracing them else for the big announcement in this book 311 00:16:01,640 --> 00:16:04,080 Speaker 5: if there raven is one, because I'm sure they'll be 312 00:16:04,080 --> 00:16:06,200 Speaker 5: on the chopping block too if it is revealed that 313 00:16:06,400 --> 00:16:06,960 Speaker 5: they were lying. 314 00:16:07,640 --> 00:16:09,840 Speaker 1: Yeah, I would also imagine a lot of them are going, 315 00:16:09,920 --> 00:16:12,040 Speaker 1: oh geez, I hope she doesn't put me in there 316 00:16:12,120 --> 00:16:15,400 Speaker 1: because I was lying to Monica Page during points of 317 00:16:15,440 --> 00:16:17,320 Speaker 1: White House Correspondent. Thanks so much for joining us. Really 318 00:16:17,320 --> 00:16:20,720 Speaker 1: appreciate it. Thanks so much, jobob, thank you. Speaking of 319 00:16:20,760 --> 00:16:23,400 Speaker 1: the last administration, I don't know if you remember this, 320 00:16:23,520 --> 00:16:26,640 Speaker 1: but the President of the United States, Joe Biden, kept 321 00:16:26,640 --> 00:16:29,920 Speaker 1: saying we're gonna cancel your student loan debt. Now, that 322 00:16:30,080 --> 00:16:33,120 Speaker 1: was unconstitutional. He knew it was unconstitutional, and it was 323 00:16:33,440 --> 00:16:36,760 Speaker 1: told it was unconstitutional by the Supreme Court twice, and 324 00:16:36,840 --> 00:16:40,000 Speaker 1: yet he still continued to say, don't worry, We're gonna 325 00:16:40,000 --> 00:16:42,600 Speaker 1: repay your student loan debt with By the way, is 326 00:16:42,640 --> 00:16:46,520 Speaker 1: the least progressive thing that progressives have ever advocated for. 327 00:16:46,560 --> 00:16:49,120 Speaker 1: People who attend college generally make more money than the 328 00:16:49,160 --> 00:16:53,480 Speaker 1: average American household, and so effectively, the progressives we're going 329 00:16:53,560 --> 00:16:56,520 Speaker 1: to try and bail out the people that make more 330 00:16:56,640 --> 00:16:59,880 Speaker 1: money by using the people who make less Money's tax 331 00:17:00,480 --> 00:17:03,160 Speaker 1: again doesn't make sense to me at all. But as 332 00:17:03,200 --> 00:17:06,280 Speaker 1: a part of that one in four Americans, one in 333 00:17:06,320 --> 00:17:10,640 Speaker 1: four student loan debt repaying Americans are now behind on 334 00:17:10,680 --> 00:17:13,480 Speaker 1: their payments. I can only assume it's probably because the 335 00:17:13,520 --> 00:17:16,640 Speaker 1: former president was saying, don't worry about it, and they're 336 00:17:16,640 --> 00:17:20,440 Speaker 1: getting thrown off guard. Let's bring our panel back. Siaka 337 00:17:20,480 --> 00:17:24,720 Speaker 1: and Lily are here, guys. Siaka, I think, look, I 338 00:17:24,840 --> 00:17:27,640 Speaker 1: don't necessarily it's hard because I want to have sympathy 339 00:17:27,680 --> 00:17:30,920 Speaker 1: for somebody who's like, oh, shoot, I bought what the 340 00:17:30,960 --> 00:17:33,760 Speaker 1: President of the United States said, but at the same time, like, 341 00:17:33,960 --> 00:17:35,680 Speaker 1: you got to pay back with you? Oh, like that 342 00:17:35,680 --> 00:17:38,360 Speaker 1: that makes sense. I don't know where do you? Where 343 00:17:38,359 --> 00:17:41,080 Speaker 1: do you? What are you thinking about when you're hearing 344 00:17:41,119 --> 00:17:41,679 Speaker 1: stuff like this. 345 00:17:42,960 --> 00:17:45,040 Speaker 3: I'm thinking, Thank goodness, I was good at football and 346 00:17:45,080 --> 00:17:48,840 Speaker 3: I got a free scholarship the college. But it's also 347 00:17:48,920 --> 00:17:51,119 Speaker 3: a sign of Look, Mandy, a lot of these people, 348 00:17:51,240 --> 00:17:55,760 Speaker 3: and unfortunately a whole lot of women on the left, 349 00:17:55,920 --> 00:17:58,800 Speaker 3: they decided to go to school, get into hundreds of 350 00:17:58,840 --> 00:18:02,920 Speaker 3: thousand dollars of debt, and take basket weaving, underwater mermaid 351 00:18:03,800 --> 00:18:06,960 Speaker 3: BIPOC studies and it's like, you know, that's probably not 352 00:18:07,040 --> 00:18:09,080 Speaker 3: going to help you pay back these loans. 353 00:18:09,119 --> 00:18:11,640 Speaker 2: But you know, we got the adults back in the room. 354 00:18:11,760 --> 00:18:15,359 Speaker 3: Daddy's back, Daddy Trump, and he's gonna want to find 355 00:18:15,400 --> 00:18:18,360 Speaker 3: out why these bills are where they are. I think 356 00:18:18,400 --> 00:18:20,600 Speaker 3: it's time. This is going to be a hard transition 357 00:18:20,680 --> 00:18:22,800 Speaker 3: for people. But we can't be living enough the government anymore. 358 00:18:22,840 --> 00:18:24,000 Speaker 3: Let's go it. 359 00:18:24,080 --> 00:18:26,480 Speaker 1: Let it be known here that Siaka says that mermaids 360 00:18:26,520 --> 00:18:29,800 Speaker 1: are in fact bipocs, which has a big topic of 361 00:18:29,880 --> 00:18:32,600 Speaker 1: conversation on the conservative side not all that long ago. 362 00:18:32,960 --> 00:18:35,359 Speaker 3: I wanted to clear off Claire up both sides in 363 00:18:35,480 --> 00:18:38,359 Speaker 3: one one statement, and you got it. I appreciate that. 364 00:18:38,480 --> 00:18:40,320 Speaker 3: Nice work, bro Lily. 365 00:18:40,720 --> 00:18:43,520 Speaker 1: This is like, okay again, it's hard to have sympathy 366 00:18:43,560 --> 00:18:45,040 Speaker 1: because you got to pay what you owe. But at 367 00:18:45,080 --> 00:18:48,040 Speaker 1: the same time, a fourth of people are behind, which 368 00:18:48,040 --> 00:18:50,679 Speaker 1: is causing huge hits to their credit scores up to 369 00:18:50,720 --> 00:18:54,520 Speaker 1: like two hundred points going down. You know, is anybody 370 00:18:54,520 --> 00:18:56,840 Speaker 1: going to pay a political price for this because Joe 371 00:18:56,840 --> 00:19:00,760 Speaker 1: Biden obviously is irrelevant nowadays, but there were so many 372 00:19:00,760 --> 00:19:03,000 Speaker 1: people out there telling everybody you don't have to pay this, 373 00:19:03,040 --> 00:19:04,240 Speaker 1: you don't have to pay this. You don't have to 374 00:19:04,240 --> 00:19:06,879 Speaker 1: pay this, and when people don't pay it, you know, 375 00:19:07,400 --> 00:19:10,000 Speaker 1: bad things happen. I don't know what are we supposed 376 00:19:10,000 --> 00:19:10,720 Speaker 1: to do about this. 377 00:19:11,480 --> 00:19:13,760 Speaker 4: Yeah, this is a tough one because the people who 378 00:19:13,800 --> 00:19:17,199 Speaker 4: are going to suffer are not the ones who have 379 00:19:17,280 --> 00:19:18,800 Speaker 4: to foot the bill. At the end of the day, 380 00:19:18,880 --> 00:19:20,760 Speaker 4: say we don't have to pay, you know, because of 381 00:19:20,800 --> 00:19:23,760 Speaker 4: what Biden has done and said, and if even if 382 00:19:23,760 --> 00:19:26,120 Speaker 4: we do pay, it's coming out of our tax dollars anyway. 383 00:19:26,320 --> 00:19:28,080 Speaker 4: The people who are really going to pay for this, though, 384 00:19:28,160 --> 00:19:31,159 Speaker 4: is whenever these people are on first dates and the 385 00:19:31,280 --> 00:19:34,360 Speaker 4: question comes up, do you have any debt? What kind 386 00:19:34,359 --> 00:19:36,000 Speaker 4: of debt do you have? It's gonna be a really 387 00:19:36,080 --> 00:19:38,600 Speaker 4: uncomfortable conversation when they have to say, yeah, my credit 388 00:19:38,600 --> 00:19:42,560 Speaker 4: score is at a three hundred and I'm multiple payments 389 00:19:42,600 --> 00:19:45,520 Speaker 4: behind on my student loan debt because the Biden administration 390 00:19:45,640 --> 00:19:48,200 Speaker 4: reliably told me that I don't need to pay them anymore. 391 00:19:48,440 --> 00:19:50,840 Speaker 4: So I think that's going to be a really uncomfortable conversation. 392 00:19:50,920 --> 00:19:53,200 Speaker 4: And at that point, you know, each person can take 393 00:19:53,200 --> 00:19:54,840 Speaker 4: it as it comes. But if I was a man 394 00:19:54,960 --> 00:19:57,719 Speaker 4: dating a woman who was so far behind on payments 395 00:19:57,760 --> 00:19:59,840 Speaker 4: and had such a bad credit score. That'd be some 396 00:20:00,080 --> 00:20:03,600 Speaker 4: thing I'd consider, not only because of the financial implications 397 00:20:03,600 --> 00:20:06,520 Speaker 4: of that, but about that person's general intelligence. You say, 398 00:20:06,600 --> 00:20:09,480 Speaker 4: you hear something that the president says and then you 399 00:20:09,560 --> 00:20:14,400 Speaker 4: stop paying a loan that you have. Yeah, imagine, let's 400 00:20:14,440 --> 00:20:17,600 Speaker 4: replace college with a car or a house. If you 401 00:20:17,720 --> 00:20:20,520 Speaker 4: heard from Donald Trump. Yeah, nobody has to pay their 402 00:20:20,560 --> 00:20:24,200 Speaker 4: loans on cars if they're not if they're American vehicles anymore? 403 00:20:24,240 --> 00:20:26,560 Speaker 4: Do you really stop paying your car loan? Do you 404 00:20:26,560 --> 00:20:29,560 Speaker 4: think your credit agency or whoever's giving you your loan 405 00:20:29,920 --> 00:20:32,520 Speaker 4: is going to forgive you for that? Don't be dumb, 406 00:20:32,680 --> 00:20:35,040 Speaker 4: I mean, really, truly, don't be dumb. It says a 407 00:20:35,040 --> 00:20:38,159 Speaker 4: lot about your general intelligence if you just stop paying 408 00:20:38,200 --> 00:20:39,719 Speaker 4: because the President tells you to. 409 00:20:40,359 --> 00:20:42,719 Speaker 1: Yeah, No, seriously, it's it's it's kind of a problem. 410 00:20:43,080 --> 00:20:45,919 Speaker 1: And while I don't disagree with anything you said, Lily, 411 00:20:45,960 --> 00:20:48,320 Speaker 1: if you're ongoing on first dates and the questions are, hey, 412 00:20:48,320 --> 00:20:50,359 Speaker 1: where did you grow up? Also, what's your credit score? 413 00:20:51,280 --> 00:20:54,680 Speaker 1: It's hard to put myself mentally there on a first 414 00:20:54,720 --> 00:20:56,800 Speaker 1: date scenario. 415 00:20:56,640 --> 00:21:01,399 Speaker 3: A pretty responsible guy down if he's worried about your 416 00:21:01,440 --> 00:21:02,960 Speaker 3: credit score, lock it down. 417 00:21:02,840 --> 00:21:03,600 Speaker 6: Well, here's the thing. 418 00:21:03,680 --> 00:21:06,520 Speaker 4: I recently had a conversation with some influencers in the 419 00:21:06,560 --> 00:21:09,680 Speaker 4: conservative space and they asked me, when is it appropriate 420 00:21:09,720 --> 00:21:11,600 Speaker 4: to ask how much a guy makes? And I said, 421 00:21:11,800 --> 00:21:13,560 Speaker 4: you really shouldn't do that on the first date. 422 00:21:13,800 --> 00:21:16,200 Speaker 6: Definitely, but you should. 423 00:21:16,000 --> 00:21:19,200 Speaker 4: At least kind of you know, back into the conversation 424 00:21:19,280 --> 00:21:20,640 Speaker 4: of Okay, what's your credit score? 425 00:21:20,640 --> 00:21:22,840 Speaker 6: Because that really does tell you a lot about a person. 426 00:21:22,880 --> 00:21:24,639 Speaker 4: And you got to know, you got to assume you're 427 00:21:24,680 --> 00:21:27,439 Speaker 4: being lied to because everyone's putting their best foot forward 428 00:21:27,480 --> 00:21:29,800 Speaker 4: on those first dates, and you know even on the 429 00:21:29,840 --> 00:21:31,359 Speaker 4: second and third dates, and you just got to you 430 00:21:31,359 --> 00:21:33,040 Speaker 4: got to do your work, trust, but verify. 431 00:21:33,600 --> 00:21:35,560 Speaker 1: I would never lie about my credit score, but it's 432 00:21:35,560 --> 00:21:39,800 Speaker 1: well over two thousand. Speaking of people who speaking of 433 00:21:39,840 --> 00:21:42,480 Speaker 1: people who are outside of their minds, I thought this 434 00:21:42,760 --> 00:21:46,600 Speaker 1: was fascinating just from the mindset of libs. Right, there's 435 00:21:46,600 --> 00:21:52,120 Speaker 1: this whole thing taco they're calling it. Trump always chickens out. 436 00:21:52,160 --> 00:21:56,639 Speaker 1: They're regarding the tariffs siaka. In my mind, they're mad 437 00:21:56,720 --> 00:21:59,160 Speaker 1: when he puts tariffs on, but then when he gets 438 00:21:59,200 --> 00:22:01,520 Speaker 1: what he wants and then make tariffs off, they go, ha, 439 00:22:02,119 --> 00:22:07,399 Speaker 1: you chickened out. You're chickened out. I don't understand the 440 00:22:07,520 --> 00:22:09,720 Speaker 1: thinking here, and I would love to hear your thoughts. 441 00:22:09,760 --> 00:22:11,480 Speaker 1: And while we have those thoughts, I also want to 442 00:22:11,600 --> 00:22:14,600 Speaker 1: show this picture of Jamie Raskin that he posted for 443 00:22:14,960 --> 00:22:18,240 Speaker 1: Taco Tuesday. That is a disgusting taco. Nobody should be 444 00:22:18,240 --> 00:22:20,840 Speaker 1: forced to eat something like that. But Siaka, what do 445 00:22:20,840 --> 00:22:22,040 Speaker 1: you think about this whole situation? 446 00:22:23,400 --> 00:22:25,920 Speaker 3: So the Democrats have been talking about and just spent 447 00:22:26,000 --> 00:22:28,120 Speaker 3: twenty million dollars trying to figure out how to talk 448 00:22:28,160 --> 00:22:30,720 Speaker 3: to American men. Hey, let me help you out for 449 00:22:31,240 --> 00:22:33,040 Speaker 3: JoJo's price of at least half of that. 450 00:22:33,800 --> 00:22:35,400 Speaker 2: You, guys, this isn't it. 451 00:22:35,800 --> 00:22:36,720 Speaker 1: This isn't it. 452 00:22:37,440 --> 00:22:39,800 Speaker 3: I don't know what you're thinking and who your think 453 00:22:39,840 --> 00:22:42,960 Speaker 3: tech was to come up with this one, but this, 454 00:22:42,960 --> 00:22:45,600 Speaker 3: this is not it. This is the most cringey ish 455 00:22:45,720 --> 00:22:48,800 Speaker 3: that I've seen in so long. These guys are just, 456 00:22:48,960 --> 00:22:51,200 Speaker 3: oh my go what the these guys just to get 457 00:22:51,200 --> 00:22:53,560 Speaker 3: pushed in the lockers back in the nineties when bullying 458 00:22:53,640 --> 00:22:56,399 Speaker 3: was still cool and it may happen again, guys, because 459 00:22:56,440 --> 00:22:57,400 Speaker 3: this isn't it. 460 00:22:57,720 --> 00:23:00,120 Speaker 2: I don't this isn't it. 461 00:23:00,400 --> 00:23:04,240 Speaker 1: Seriously well, Lily, and to this point that it's like 462 00:23:04,600 --> 00:23:08,240 Speaker 1: I think they think they dunked on everybody, but here 463 00:23:08,280 --> 00:23:11,920 Speaker 1: we are talking about their talking points on a show 464 00:23:12,040 --> 00:23:15,879 Speaker 1: because it's so funny, we can't help but mock it, Like, 465 00:23:16,280 --> 00:23:19,000 Speaker 1: is this is this just what being a conservative is nowadays? 466 00:23:19,480 --> 00:23:19,960 Speaker 1: I guess. 467 00:23:20,040 --> 00:23:22,040 Speaker 4: So we just keep getting our bed made for us, 468 00:23:22,040 --> 00:23:24,240 Speaker 4: and we just are able to just keep laughing at It. 469 00:23:24,320 --> 00:23:26,920 Speaker 4: Reminds me of that Trump snl skit from all those 470 00:23:27,000 --> 00:23:29,679 Speaker 4: years ago where he made Trump's Chicken and then he 471 00:23:29,760 --> 00:23:32,080 Speaker 4: had all those women, you know, with the chicken. 472 00:23:31,840 --> 00:23:33,240 Speaker 2: Costumes doing the dances. 473 00:23:34,359 --> 00:23:36,159 Speaker 4: And so I think Trump should just take this and 474 00:23:36,280 --> 00:23:39,000 Speaker 4: run with it and serve the best friggin chicken around 475 00:23:39,080 --> 00:23:42,119 Speaker 4: the United States because it'll prove any he doesn't. He 476 00:23:42,240 --> 00:23:44,400 Speaker 4: always gets what he wants and he always wins. He's 477 00:23:44,400 --> 00:23:46,600 Speaker 4: always on top. And I mean, chicken might be a 478 00:23:46,600 --> 00:23:50,160 Speaker 4: good market to get into. 479 00:23:52,320 --> 00:23:54,399 Speaker 3: This's the kind of stuff where like you need a 480 00:23:54,600 --> 00:23:57,160 Speaker 3: focus group of guys who are in a locker room 481 00:23:57,240 --> 00:23:58,720 Speaker 3: to stop this, because. 482 00:23:58,440 --> 00:24:00,280 Speaker 2: This isn't it? Good? 483 00:24:01,960 --> 00:24:04,720 Speaker 1: President, If you're watching, first of all, thanks for tuning 484 00:24:04,720 --> 00:24:07,400 Speaker 1: into Turning Point tonight, But also i'd be cautious about 485 00:24:07,400 --> 00:24:10,280 Speaker 1: your new chicken adventure or adventure. I'm not sure I'm 486 00:24:10,280 --> 00:24:12,600 Speaker 1: not sure that'll work out great, but you know, you 487 00:24:12,680 --> 00:24:16,480 Speaker 1: never know. Lily Kate Siakabazakoy always a great time. Thanks 488 00:24:16,480 --> 00:24:18,200 Speaker 1: you guys for coming on. I appreciate you taking the time. 489 00:24:18,720 --> 00:24:21,520 Speaker 1: Thank you, thank you, thank you coming up next year. 490 00:24:21,520 --> 00:24:23,359 Speaker 1: In Turning Points Tonight, we've got a fascinating clip Max 491 00:24:23,400 --> 00:24:28,320 Speaker 1: Clark's Culture Apothecary podcast. And then after that, it's Woke Wednesday. 492 00:24:28,359 --> 00:24:29,679 Speaker 1: Don't go, It'll be right back after this. 493 00:24:42,240 --> 00:24:44,399 Speaker 7: Are blue light blockers legit or are they just like 494 00:24:44,400 --> 00:24:45,560 Speaker 7: another wellness scam? 495 00:24:45,880 --> 00:24:48,639 Speaker 8: There are a couple of people out there trying to 496 00:24:48,640 --> 00:24:51,600 Speaker 8: say that they're a scam, and I noticed that there 497 00:24:51,600 --> 00:24:54,080 Speaker 8: were some really big sights and articles saying like the 498 00:24:54,160 --> 00:24:57,119 Speaker 8: number one health myth is blue light blocking classes. And 499 00:24:57,359 --> 00:25:01,240 Speaker 8: I read their articles. They have not read the research. 500 00:25:01,600 --> 00:25:04,240 Speaker 8: So there is very definitive research at the National Institute 501 00:25:04,240 --> 00:25:07,800 Speaker 8: of Health, at renzali Er Polytechnic Institute at Harvard and 502 00:25:07,920 --> 00:25:14,040 Speaker 8: elsewhere that show melatonin, this master anti cancer hormone that 503 00:25:14,080 --> 00:25:17,720 Speaker 8: cleans up our mitochondria and ourselves while we sleep, is 504 00:25:17,840 --> 00:25:21,800 Speaker 8: preserved if you wear blue light blocking glasses after sunset. 505 00:25:21,920 --> 00:25:25,120 Speaker 8: It's proven in numerous peer reviewed published studies that they 506 00:25:25,280 --> 00:25:26,480 Speaker 8: absolutely work. 507 00:25:26,880 --> 00:25:30,000 Speaker 7: Did our ancestors have any little light tricks that we've 508 00:25:30,000 --> 00:25:32,000 Speaker 7: forgotten about that could really help us today? 509 00:25:32,200 --> 00:25:32,680 Speaker 5: They did. 510 00:25:32,920 --> 00:25:37,119 Speaker 8: Are So, think about eighteen twenty and you're in New 511 00:25:37,200 --> 00:25:40,600 Speaker 8: York City and it's five point thirty pm in the 512 00:25:40,600 --> 00:25:43,000 Speaker 8: middle of winter. What are you doing at that time? 513 00:25:43,400 --> 00:25:48,000 Speaker 8: You're probably sleeping because a there's no electrification, so the 514 00:25:48,040 --> 00:25:50,480 Speaker 8: city is not lit up. If you're at home with 515 00:25:50,520 --> 00:25:54,440 Speaker 8: your family, it's expensive to use firelight to heat up 516 00:25:54,440 --> 00:25:57,280 Speaker 8: your home, to light up your home so that you 517 00:25:57,320 --> 00:25:59,119 Speaker 8: can see, so you can read, so you can write. 518 00:25:59,200 --> 00:26:02,280 Speaker 8: All of those things would only be relegated to the 519 00:26:02,480 --> 00:26:05,280 Speaker 8: very wealthy that could have tons of candles burning all 520 00:26:05,320 --> 00:26:09,160 Speaker 8: the time. So most people they woke up with the sun. 521 00:26:09,440 --> 00:26:12,399 Speaker 8: They didn't have these clocks that said, like, it's eight o'clock, 522 00:26:12,400 --> 00:26:14,360 Speaker 8: I have to be at work at eight o'clock. They 523 00:26:14,400 --> 00:26:16,080 Speaker 8: woke up with the sun and they went to work 524 00:26:16,119 --> 00:26:16,920 Speaker 8: when the sun was up. 525 00:26:17,080 --> 00:26:19,520 Speaker 7: I'm guessing you don't use it alarm unless. 526 00:26:19,160 --> 00:26:20,879 Speaker 8: I have a flight, yeah, that I have to be 527 00:26:20,960 --> 00:26:23,000 Speaker 8: up for. I do not use an alarm. Nobody needs 528 00:26:23,000 --> 00:26:24,840 Speaker 8: to use an alarm. I actually have an article on 529 00:26:24,880 --> 00:26:26,800 Speaker 8: my website that says, like you never need to use 530 00:26:26,840 --> 00:26:29,679 Speaker 8: an alarm again. Once your body is synced to the 531 00:26:29,760 --> 00:26:32,920 Speaker 8: sun when it rises and when it sets, you will 532 00:26:33,040 --> 00:26:34,760 Speaker 8: naturally wake up when the sun rises. 533 00:26:34,800 --> 00:26:36,680 Speaker 7: Are you anti blackout curtains? 534 00:26:36,720 --> 00:26:37,240 Speaker 8: Definitely not? 535 00:26:37,680 --> 00:26:38,040 Speaker 6: Okay? 536 00:26:38,280 --> 00:26:42,040 Speaker 8: So the reason blackout curtains are beneficial is most of 537 00:26:42,119 --> 00:26:45,919 Speaker 8: us live around light pollution. So the American Medical Association 538 00:26:46,600 --> 00:26:49,080 Speaker 8: they publish an article in twenty seventeen. It was actually 539 00:26:49,080 --> 00:26:53,000 Speaker 8: a warning. It says warning, led lights are harmful to 540 00:26:53,080 --> 00:26:57,080 Speaker 8: American's health. And that article talked about LED street lights 541 00:26:57,160 --> 00:27:00,359 Speaker 8: and how they harm our circadian rhythm and our and 542 00:27:00,400 --> 00:27:02,359 Speaker 8: we should not be using at lady street lights with 543 00:27:02,400 --> 00:27:06,000 Speaker 8: all this blue light. So your neighbor's light, the street lights, 544 00:27:06,359 --> 00:27:08,600 Speaker 8: whatever lights are outside your home, unless you live in 545 00:27:08,640 --> 00:27:11,720 Speaker 8: the middle of the country, are coming into your bedroom. 546 00:27:12,160 --> 00:27:14,520 Speaker 8: And any amount of light coming into your bedroom can 547 00:27:14,560 --> 00:27:16,560 Speaker 8: be read by your skin when you're trying to sleep 548 00:27:16,680 --> 00:27:19,879 Speaker 8: and mess up your circadian rhythm and your melotonin. So 549 00:27:19,960 --> 00:27:22,280 Speaker 8: blackout curtains are great to stop those things. 550 00:27:22,480 --> 00:27:23,479 Speaker 6: Okay, I just didn't know. 551 00:27:23,560 --> 00:27:25,639 Speaker 7: I was curious what you would say, because I was 552 00:27:25,640 --> 00:27:27,520 Speaker 7: wondering if you would say you don't like them, because 553 00:27:27,560 --> 00:27:29,680 Speaker 7: then you know the sun rise you don't notice it. 554 00:27:30,160 --> 00:27:31,879 Speaker 7: So it's good when you're trying to fall asleep and 555 00:27:32,000 --> 00:27:34,359 Speaker 7: keeping asleep, but then in the morning though, you're missing 556 00:27:34,359 --> 00:27:35,080 Speaker 7: out on that light. 557 00:27:35,240 --> 00:27:39,080 Speaker 8: Ideally, like you would have these mechanical things that would go. 558 00:27:39,119 --> 00:27:39,879 Speaker 6: Up on a timer. 559 00:27:40,000 --> 00:27:42,040 Speaker 8: Yep, when the sunrise comes up, so the sun comes 560 00:27:42,040 --> 00:27:44,280 Speaker 8: in and it naturally when the sun hits your body, 561 00:27:44,280 --> 00:27:45,479 Speaker 8: it will naturally wake you up. 562 00:27:45,640 --> 00:27:49,159 Speaker 7: Now, I noticed that you have on yellow blue light blockers. 563 00:27:49,240 --> 00:27:51,359 Speaker 7: I interviewed Hilda Lebrodogre a couple of years ago and 564 00:27:51,400 --> 00:27:53,840 Speaker 7: she had orange ones on. Is that a fashion choice 565 00:27:53,920 --> 00:27:56,360 Speaker 7: or there's like something different going on with these different colors. 566 00:27:56,600 --> 00:28:01,080 Speaker 8: There's definitely something different. There are really three types. Well, 567 00:28:01,080 --> 00:28:03,520 Speaker 8: I'm gonna say there's four types of blue light blocking glasses. 568 00:28:03,680 --> 00:28:06,200 Speaker 8: The first type is not a real type. So the 569 00:28:06,200 --> 00:28:08,240 Speaker 8: first type of blue light blocking glasses, they look like 570 00:28:08,280 --> 00:28:11,080 Speaker 8: they have clear lenses, but they look like they reflect 571 00:28:11,119 --> 00:28:13,240 Speaker 8: a little bit of blue light. Those don't really do anything. 572 00:28:13,640 --> 00:28:15,720 Speaker 8: They just give you like a warm feeling that like, hey, 573 00:28:15,720 --> 00:28:19,040 Speaker 8: I'm probably doing something you're not. So those don't work. 574 00:28:19,200 --> 00:28:22,720 Speaker 8: I don't recommend them. Yellow blue light blocking glasses where 575 00:28:22,720 --> 00:28:25,200 Speaker 8: they have a little bit of a yellow tint that's 576 00:28:25,200 --> 00:28:27,119 Speaker 8: what I have on and that's what you want to 577 00:28:27,119 --> 00:28:31,040 Speaker 8: wear during the day. Not outdoors. You need blue light. 578 00:28:31,320 --> 00:28:34,840 Speaker 8: Natural sunlight is very healing and it's not destructive to 579 00:28:34,880 --> 00:28:36,560 Speaker 8: your eyes in any way unless you're staring at the 580 00:28:36,560 --> 00:28:39,880 Speaker 8: sun at noon. But inside, when you're on a device, 581 00:28:39,960 --> 00:28:42,760 Speaker 8: you're on your laptop, you're on your phone. Wearing yellow 582 00:28:42,800 --> 00:28:46,080 Speaker 8: blue light blocking glasses stops about fifty percent of the 583 00:28:46,120 --> 00:28:49,240 Speaker 8: blue light from hitting your eye, but specifically it stops 584 00:28:49,280 --> 00:28:52,480 Speaker 8: the high intensity blue light that can cause macular degeneration. 585 00:28:53,200 --> 00:28:58,400 Speaker 8: So there's a whole host of issues with kids having 586 00:28:58,440 --> 00:29:01,080 Speaker 8: macular degeneration all of a sudden that never occurred before. 587 00:29:01,160 --> 00:29:01,400 Speaker 5: Anything. 588 00:29:01,440 --> 00:29:02,760 Speaker 6: It's from the iPads, it's from. 589 00:29:02,600 --> 00:29:04,080 Speaker 8: All the devices are on all the time. 590 00:29:04,480 --> 00:29:05,640 Speaker 6: Ooh, that's freaky. 591 00:29:05,840 --> 00:29:09,400 Speaker 8: So when we age, our eyes start getting a little 592 00:29:09,400 --> 00:29:12,640 Speaker 8: bit yellow. They start to get this yellowish tint on 593 00:29:13,080 --> 00:29:16,680 Speaker 8: older adult's eyes, and that yellow. Just like my glasses 594 00:29:16,760 --> 00:29:18,920 Speaker 8: block some of the blue light, kids don't have that. 595 00:29:19,400 --> 00:29:22,360 Speaker 8: They're getting the most light poisoning from all these lights everywhere, 596 00:29:22,520 --> 00:29:24,680 Speaker 8: especially being on devices all the time. You know, my 597 00:29:24,760 --> 00:29:27,000 Speaker 8: kids are in high school and middle school and they 598 00:29:27,040 --> 00:29:29,360 Speaker 8: don't really read books, they don't take tests, with paper 599 00:29:29,400 --> 00:29:32,880 Speaker 8: and pen. They take everything online, They read on a device, 600 00:29:33,000 --> 00:29:36,120 Speaker 8: they take their test on a device. They're constantly on devices. 601 00:29:36,320 --> 00:29:39,640 Speaker 8: There's no chalkboards, they're smartboards. And so they're getting all 602 00:29:39,640 --> 00:29:42,760 Speaker 8: this light in their eye that's not protected by glasses 603 00:29:42,880 --> 00:29:45,520 Speaker 8: or a yellowing lens of their own eye. So during 604 00:29:45,520 --> 00:29:47,800 Speaker 8: the day, these blue light blocking glasses that are yellow 605 00:29:48,080 --> 00:29:52,320 Speaker 8: can prevent that macular degeneration, okay, but still allowing of 606 00:29:52,320 --> 00:29:55,560 Speaker 8: blue light to keep us awake and alert. The orange lenses. 607 00:29:55,640 --> 00:29:57,320 Speaker 8: You see a lot of these people wearing like orange 608 00:29:57,320 --> 00:30:00,720 Speaker 8: glasses at night. Yeah, those block one one hundred percent 609 00:30:00,760 --> 00:30:04,120 Speaker 8: of blue light. And after sunset, if we see blue 610 00:30:04,200 --> 00:30:08,320 Speaker 8: light after sunset, our melatonin is destroyed. That's not good. 611 00:30:08,680 --> 00:30:10,440 Speaker 8: So blocking one hundred percent of the blue light to 612 00:30:10,480 --> 00:30:14,320 Speaker 8: the eye is perfect. That allows your body to think 613 00:30:14,360 --> 00:30:17,560 Speaker 8: that it's dark and to produce melatonin to heal yourself 614 00:30:17,600 --> 00:30:18,240 Speaker 8: while you sleep. 615 00:30:18,640 --> 00:30:21,640 Speaker 7: What types of light bulbs should we put in our houses? 616 00:30:22,120 --> 00:30:26,640 Speaker 8: I recommend two types, incandescent. So even though we know 617 00:30:26,720 --> 00:30:30,080 Speaker 8: that incandescent bulbs can destroy like half of your night's melatonin, 618 00:30:30,160 --> 00:30:33,040 Speaker 8: which is not great, but they don't flicker like an 619 00:30:33,120 --> 00:30:37,000 Speaker 8: led light does. And there are more natural soft yellower light. 620 00:30:37,080 --> 00:30:39,280 Speaker 8: They have infrared light coming from them. We all know, 621 00:30:39,360 --> 00:30:41,600 Speaker 8: like we use these red light panels, these healing red 622 00:30:41,640 --> 00:30:44,600 Speaker 8: light panels that are red and infrared. Well, an incandescent 623 00:30:44,640 --> 00:30:47,480 Speaker 8: bulb has red and infrared light. When you put in 624 00:30:47,640 --> 00:30:51,520 Speaker 8: LED lights, they flicker. Even though your eye can't pick 625 00:30:51,520 --> 00:30:53,280 Speaker 8: it up, your iPhone will pick up that the light 626 00:30:53,360 --> 00:30:56,480 Speaker 8: is flickering. Your brain notices that and you can get migraines. 627 00:30:56,800 --> 00:30:59,040 Speaker 8: It causes stress in the body, that flickering of the 628 00:30:59,120 --> 00:31:01,400 Speaker 8: LED that's not to our eye but is picked up 629 00:31:01,400 --> 00:31:01,960 Speaker 8: by our brain. 630 00:31:02,080 --> 00:31:03,560 Speaker 7: So one of the worst things is like your light 631 00:31:03,600 --> 00:31:05,840 Speaker 7: on one of those dimmer switches, isn't it If it's. 632 00:31:05,680 --> 00:31:08,880 Speaker 8: An LED light, Those dimmer switches create a huge magnetic field, 633 00:31:08,880 --> 00:31:10,840 Speaker 8: which is really bad and massive flicker. 634 00:31:11,000 --> 00:31:12,800 Speaker 6: Yeah, I have that in my apartment, which I can help. 635 00:31:12,800 --> 00:31:14,680 Speaker 6: Because it's an apartment, you can't do much about it. 636 00:31:14,680 --> 00:31:16,920 Speaker 6: But that is something I wondered about. 637 00:31:17,040 --> 00:31:19,880 Speaker 8: If you replace your light bulb though, with an incandescent 638 00:31:20,040 --> 00:31:23,120 Speaker 8: or a halogen bulb, then you can use the dimmer 639 00:31:23,160 --> 00:31:24,640 Speaker 8: and it's not as much of a big deal. It's 640 00:31:24,680 --> 00:31:27,120 Speaker 8: the LED bulbs that go in that are the worst. 641 00:31:27,440 --> 00:31:31,760 Speaker 8: So I recommend most people either put in incandescent, they're 642 00:31:31,840 --> 00:31:36,120 Speaker 8: just they're naturally better for our bodies, or which is 643 00:31:36,160 --> 00:31:38,280 Speaker 8: what we do, except in the kitchen we use We 644 00:31:38,360 --> 00:31:41,120 Speaker 8: use halogen and incandescent in our kitchen so we can see, 645 00:31:41,160 --> 00:31:44,560 Speaker 8: like everything looks gray, all food looks gray under a 646 00:31:44,600 --> 00:31:47,640 Speaker 8: red light. And we use red light in the rest 647 00:31:47,640 --> 00:31:50,840 Speaker 8: of our house. So our bathroom light, our living room light, 648 00:31:50,880 --> 00:31:53,520 Speaker 8: and our bedroom lights are red lights. 649 00:31:53,880 --> 00:31:55,560 Speaker 6: Now, is that just a red light bulb. 650 00:31:55,840 --> 00:31:58,720 Speaker 8: You can get incandescent light bulbs that are red, okay, 651 00:31:59,200 --> 00:32:01,959 Speaker 8: or led light light bulbs that have almost no flicker 652 00:32:02,400 --> 00:32:03,000 Speaker 8: and are red. 653 00:32:03,320 --> 00:32:04,880 Speaker 7: Now, let me ask something because this is something that's 654 00:32:04,880 --> 00:32:08,760 Speaker 7: been very confusing for my audience. Is there a difference 655 00:32:08,800 --> 00:32:12,120 Speaker 7: between a red light bulb like a red light used 656 00:32:12,120 --> 00:32:12,880 Speaker 7: on a chicken, etc. 657 00:32:13,600 --> 00:32:15,520 Speaker 6: And then red light therapy. 658 00:32:16,280 --> 00:32:19,320 Speaker 8: Yes, so if you had a chicken light, the chicken 659 00:32:19,400 --> 00:32:22,360 Speaker 8: light gives off heat because the chickens need to stay 660 00:32:22,360 --> 00:32:24,400 Speaker 8: warm in the winter, especially where we live. So that 661 00:32:24,440 --> 00:32:28,160 Speaker 8: red light has a red and infrared. The infrared is 662 00:32:28,200 --> 00:32:31,240 Speaker 8: the heat coming off of it and the chickens stay warm. 663 00:32:31,320 --> 00:32:33,600 Speaker 8: It gives off infrared, it gives off red light. That 664 00:32:33,680 --> 00:32:37,520 Speaker 8: light bulb can be used for therapy, but a lot 665 00:32:37,560 --> 00:32:39,960 Speaker 8: of the red light studies show that if your skin 666 00:32:40,040 --> 00:32:42,480 Speaker 8: gets hot, the red light therapy is not as effective. 667 00:32:42,600 --> 00:32:44,280 Speaker 6: Oh so the red light. 668 00:32:44,200 --> 00:32:48,280 Speaker 8: Panels have invisible infrared light and then some red light, 669 00:32:48,760 --> 00:32:52,200 Speaker 8: and they don't if they're designed properly, they don't heat 670 00:32:52,280 --> 00:32:54,600 Speaker 8: your body, and therefore the red light gives you more 671 00:32:54,600 --> 00:32:57,520 Speaker 8: benefit when the skin is not getting hot. So they 672 00:32:57,560 --> 00:32:58,120 Speaker 8: are different. 673 00:32:58,360 --> 00:33:00,360 Speaker 6: I get like a little bit warm. 674 00:33:00,200 --> 00:33:04,360 Speaker 8: The incandescent lights, the chicken lights. There's saunas out there 675 00:33:04,400 --> 00:33:06,720 Speaker 8: that use them, and there's red light panels that use these. 676 00:33:06,960 --> 00:33:09,600 Speaker 8: You get really you'll sweat, So like when your skin 677 00:33:09,680 --> 00:33:11,920 Speaker 8: gets so hot, you're going to sweat. That is too 678 00:33:12,040 --> 00:33:14,440 Speaker 8: much heat in your body, and it's not as effective 679 00:33:14,480 --> 00:33:27,400 Speaker 8: red light therapy. Immediately, nobody has thought about you, who's 680 00:33:27,440 --> 00:33:29,280 Speaker 8: just twenty four to seven flooding the zone. 681 00:33:29,320 --> 00:33:32,240 Speaker 9: Back to my thirteen year old owning this space every day, 682 00:33:32,280 --> 00:33:32,800 Speaker 9: getting a. 683 00:33:32,680 --> 00:33:35,520 Speaker 1: Convert and then I'm thinking about we're gonna stand back 684 00:33:36,040 --> 00:33:38,720 Speaker 1: and watch you run circles around us. 685 00:33:38,800 --> 00:33:41,520 Speaker 2: He said it best at Turning Point, USA. We're relentless. 686 00:33:41,600 --> 00:33:45,960 Speaker 2: We're changing minds on campuses every semester, defending conservative values 687 00:33:46,120 --> 00:33:49,520 Speaker 2: and fighting for America's future. Your donation helps keep us 688 00:33:49,520 --> 00:33:53,080 Speaker 2: on campus. Join the movement and donate to TPUSA today. 689 00:33:54,920 --> 00:33:57,000 Speaker 1: Welcome back to Turning Point tonight. Charlie is right. Go 690 00:33:57,040 --> 00:33:59,560 Speaker 1: to TBSA dot com. Join the movement, help keep conservative 691 00:33:59,600 --> 00:34:02,000 Speaker 1: voices live and well on college campuses. You can also 692 00:34:02,000 --> 00:34:04,400 Speaker 1: find out everything Turning Point is doing, including all of 693 00:34:04,400 --> 00:34:08,120 Speaker 1: our fantastic events like Young Women's Leadership Summit, which you 694 00:34:08,280 --> 00:34:10,719 Speaker 1: don't want to miss unless you're a man. Then you 695 00:34:10,800 --> 00:34:13,200 Speaker 1: can't go. You just you, you flat out you can't 696 00:34:13,200 --> 00:34:15,200 Speaker 1: go to the Young Women's Leadership Summit that's happening in 697 00:34:15,239 --> 00:34:17,799 Speaker 1: Dallas this month and then next month in Tampa. The 698 00:34:17,880 --> 00:34:20,600 Speaker 1: Student Action Summit, as well as the Chapter Leadership Summit, 699 00:34:20,640 --> 00:34:23,680 Speaker 1: as well as the Turning Point Educators Summit. So many 700 00:34:23,680 --> 00:34:26,040 Speaker 1: things going on. Find out all of it at TPUSA 701 00:34:26,400 --> 00:34:28,400 Speaker 1: dot com. You can donate, You can find out all 702 00:34:28,480 --> 00:34:31,239 Speaker 1: the information. TPUSA is doing more than anybody in the 703 00:34:31,280 --> 00:34:34,560 Speaker 1: movement I think really has ever done. I don't think 704 00:34:34,600 --> 00:34:37,160 Speaker 1: that's being hyperbolic. You can also email the show anytime 705 00:34:37,200 --> 00:34:39,959 Speaker 1: you want tpt at TPUSA dot com. We love hearing 706 00:34:40,000 --> 00:34:43,880 Speaker 1: your emails, love seeing feedback. That's we love taking feedback. 707 00:34:43,960 --> 00:34:46,920 Speaker 1: And either utilizing if it's a good idea or just 708 00:34:46,960 --> 00:34:48,960 Speaker 1: throwing it away if it's a bad idea. That's just 709 00:34:48,960 --> 00:34:50,400 Speaker 1: how we do it. I'll be honest with your TBT 710 00:34:50,440 --> 00:34:53,000 Speaker 1: at TPUSA dot com and and anything you feel that 711 00:34:53,080 --> 00:34:56,560 Speaker 1: is appropriate, and then we need to know going forward 712 00:34:56,920 --> 00:34:59,480 Speaker 1: without further ado. And this is one of my favorites. 713 00:34:59,480 --> 00:35:07,520 Speaker 1: And I know it's your It's woke Wednesday, thank you 714 00:35:07,560 --> 00:35:11,480 Speaker 1: screaming highlighter lady or they them, I don't know. I 715 00:35:11,560 --> 00:35:16,440 Speaker 1: never know, but maybe someday they them her will tell me. 716 00:35:16,880 --> 00:35:19,480 Speaker 1: This is an interesting Woke Wednesday because we're not no 717 00:35:19,560 --> 00:35:21,719 Speaker 1: necessarily nut picking. If you're not familiar with the term 718 00:35:21,800 --> 00:35:24,200 Speaker 1: nut picking, both sides kind of do it. You kind 719 00:35:24,200 --> 00:35:26,799 Speaker 1: of pick one of the nuts from their party. Well, 720 00:35:26,840 --> 00:35:29,040 Speaker 1: and we don't necessarily do this part of it and 721 00:35:29,160 --> 00:35:31,920 Speaker 1: kind of assume that that's everybody, but increasingly on the 722 00:35:32,000 --> 00:35:35,120 Speaker 1: left it seems to be easier to do. And in 723 00:35:35,160 --> 00:35:41,359 Speaker 1: this case, we're taking actual represented individual sorry representative individuals 724 00:35:41,600 --> 00:35:47,759 Speaker 1: who are elected to office and showing what they're actually 725 00:35:47,840 --> 00:35:51,880 Speaker 1: saying and actually thinking. This one is fascinating to me 726 00:35:51,920 --> 00:35:55,640 Speaker 1: because it encompasses so much of what libs think and 727 00:35:55,719 --> 00:36:01,759 Speaker 1: why it's so incredibly wrong and day watch this and 728 00:36:01,840 --> 00:36:06,360 Speaker 1: we will discuss all of the ways that it's incoherently stupid. 729 00:36:06,440 --> 00:36:07,919 Speaker 1: Check it out later. 730 00:36:08,120 --> 00:36:09,040 Speaker 10: And of course. 731 00:36:11,120 --> 00:36:15,880 Speaker 11: We have to come to a place in Congress where 732 00:36:15,920 --> 00:36:19,919 Speaker 11: it is no longer a political issue, but we see 733 00:36:19,960 --> 00:36:25,239 Speaker 11: it as an existential issue for the country. If we 734 00:36:25,280 --> 00:36:29,960 Speaker 11: don't have outgues for people to come here leedally to 735 00:36:30,040 --> 00:36:31,720 Speaker 11: work or to build our home here. 736 00:36:33,120 --> 00:36:34,040 Speaker 5: I'm gonna be really. 737 00:36:33,920 --> 00:36:36,000 Speaker 12: True right now, we're not gonna have anybody. 738 00:36:35,640 --> 00:36:39,400 Speaker 5: Around the way we're asses because we don't have another people. 739 00:36:41,880 --> 00:36:45,479 Speaker 1: Okay, Well, first of all, that's incredibly demeaning to any people. 740 00:36:45,560 --> 00:36:48,920 Speaker 1: Anybody coming into the country, which I thought being demeaning 741 00:36:49,040 --> 00:36:50,960 Speaker 1: was like a big hole thing. Feelings is like a 742 00:36:50,960 --> 00:36:53,800 Speaker 1: big hole thing with you Libs. That was a LIB 743 00:36:54,120 --> 00:37:01,759 Speaker 1: Congresswoman Becca Bliant of Vermont, which is interesting. But here's 744 00:37:01,920 --> 00:37:07,160 Speaker 1: what is correct about her wrongness. Right, the whole thing 745 00:37:07,280 --> 00:37:09,560 Speaker 1: Libs don't say this out loud, but the whole thing 746 00:37:09,600 --> 00:37:12,680 Speaker 1: of letting legals into the country in mass is one 747 00:37:12,719 --> 00:37:14,279 Speaker 1: they think they're gonna get their votes. I think that's 748 00:37:14,320 --> 00:37:18,279 Speaker 1: a bad bet. But two, we do genuinely have a 749 00:37:18,360 --> 00:37:21,919 Speaker 1: population problem. Now, A lot of that is driven by 750 00:37:22,000 --> 00:37:24,520 Speaker 1: Libs saying, Ah, you don't need to have babies, you 751 00:37:24,520 --> 00:37:26,120 Speaker 1: don't need to have kids. You can just live this 752 00:37:26,200 --> 00:37:31,040 Speaker 1: hedonistic lifestyle and do everything for yourself, and that's totally fine. Okay, cool, 753 00:37:31,440 --> 00:37:34,560 Speaker 1: that's wrong. But let's extrapolate that a little bit. If 754 00:37:34,600 --> 00:37:36,799 Speaker 1: you think that you don't have to have kids, then yes, 755 00:37:36,880 --> 00:37:40,520 Speaker 1: we're gonna have a population crisis, especially with the entitlements 756 00:37:40,760 --> 00:37:45,080 Speaker 1: that Libs have set up. You can't sustain yourself in 757 00:37:45,160 --> 00:37:50,279 Speaker 1: the long term. If you tell people explicitly having kids's oppression. 758 00:37:50,480 --> 00:37:53,920 Speaker 1: Having babies is bad for society. You shouldn't do it. 759 00:37:54,000 --> 00:37:57,759 Speaker 1: If you believe that, then you by default have to 760 00:37:57,960 --> 00:38:01,080 Speaker 1: allow people to come into the country on mass or 761 00:38:01,120 --> 00:38:06,520 Speaker 1: else you can't have a sustainable infrastructure societally speaking. So 762 00:38:07,440 --> 00:38:11,400 Speaker 1: that is what she actually thinks. Again, it's incredibly demeaning, 763 00:38:11,840 --> 00:38:16,520 Speaker 1: but given her deluded pathway, the wrongness makes sense in 764 00:38:16,560 --> 00:38:20,880 Speaker 1: a weird way, because yeah, if you're going to discourage 765 00:38:20,880 --> 00:38:24,799 Speaker 1: Americans from having babies, having kids and raising families, then 766 00:38:24,800 --> 00:38:27,799 Speaker 1: you're going to have to get that labor from elsewhere. 767 00:38:28,200 --> 00:38:30,719 Speaker 1: And again, like I said, very very demeaning thing that 768 00:38:30,760 --> 00:38:34,719 Speaker 1: she said, she is in a way right in her wrongness, 769 00:38:35,400 --> 00:38:39,120 Speaker 1: if that makes sense. God wokeness is such a crazy 770 00:38:39,239 --> 00:38:41,840 Speaker 1: mental gymnastics thing. I want to play this before we 771 00:38:41,920 --> 00:38:44,120 Speaker 1: run out of time. Second clip. This is from Missoula, Montana. 772 00:38:45,000 --> 00:38:48,440 Speaker 12: The item is recognizing the Pride flag as an official 773 00:38:48,480 --> 00:38:51,279 Speaker 12: flag of the City of Missoula, and we have a 774 00:38:51,440 --> 00:38:56,560 Speaker 12: councilwoman Jennifer Savage, to provide the overview and kick off 775 00:38:56,560 --> 00:38:57,279 Speaker 12: this agenda item. 776 00:38:57,320 --> 00:39:02,080 Speaker 10: Please great, Thank you very much. I have something that 777 00:39:02,080 --> 00:39:06,360 Speaker 10: I'm just going to read. So last week my email 778 00:39:06,400 --> 00:39:10,560 Speaker 10: inbox filled with messages from concerned parents, students, and community 779 00:39:10,600 --> 00:39:14,799 Speaker 10: members about Pride flags having been removed from Missoula's classrooms 780 00:39:15,440 --> 00:39:17,720 Speaker 10: in the wake of House Built eight nineteen that Governor 781 00:39:17,800 --> 00:39:20,719 Speaker 10: Janforte signed on May thirteenth, which regulates the types of 782 00:39:20,760 --> 00:39:23,400 Speaker 10: flags that may be flown in public buildings in Montana. 783 00:39:23,920 --> 00:39:28,160 Speaker 10: Maazilians were concerned and urged all of us to act quickly. Tonight, 784 00:39:28,200 --> 00:39:30,400 Speaker 10: I bring you a resolution to make the Pride flag 785 00:39:30,560 --> 00:39:34,360 Speaker 10: an official flag for the city of Missoula. 786 00:39:34,400 --> 00:39:37,360 Speaker 1: If you can't be encompassed in the flags that represent 787 00:39:37,480 --> 00:39:42,280 Speaker 1: everyone and you have to single flags out, you're therefore discriminating. 788 00:39:42,600 --> 00:39:46,400 Speaker 1: If gay Massoulans can't be represented by the American flag 789 00:39:46,520 --> 00:39:49,000 Speaker 1: or by the Missoula City flag, whatever it is, and 790 00:39:49,080 --> 00:39:53,360 Speaker 1: have to add an official flag. You're therefore discriminating against 791 00:39:53,360 --> 00:39:56,560 Speaker 1: everybody else who doesn't feel represented by that particular flag. 792 00:39:56,600 --> 00:40:00,200 Speaker 1: Whenever they fly a half Irish, half simoonan flag, let 793 00:40:00,239 --> 00:40:02,719 Speaker 1: me know then I will personally feel included. That's gonna 794 00:40:02,719 --> 00:40:04,600 Speaker 1: do it with us here at turning point tonight, Charlie's 795 00:40:04,600 --> 00:40:06,520 Speaker 1: gonna take us out. We'll see tomorrow, same time, same place. 796 00:40:06,560 --> 00:40:27,400 Speaker 9: God bless America. 797 00:40:32,760 --> 00:40:35,920 Speaker 2: I joke around to my friends I live a forest 798 00:40:35,920 --> 00:40:38,880 Speaker 2: gump life. I really do. I just happen to be 799 00:40:38,880 --> 00:40:40,719 Speaker 2: in the right place at the right time, so many 800 00:40:40,719 --> 00:40:44,480 Speaker 2: different situations, and it just so happens. I was eating 801 00:40:44,520 --> 00:40:46,840 Speaker 2: dinner in New York last night and I ran into 802 00:40:47,760 --> 00:40:51,239 Speaker 2: mister Doug Kamala Harris's husband. I'll tell you about that. 803 00:40:51,239 --> 00:40:55,240 Speaker 2: That's not breaking news. But I also saw the Grand 804 00:40:55,280 --> 00:41:00,480 Speaker 2: Priestess statue, the statue of the High Priest of the 805 00:41:00,480 --> 00:41:06,760 Speaker 2: Democrat Party, which is Skinny Lizzo in Times Square, all 806 00:41:06,880 --> 00:41:11,280 Speaker 2: hail the black woman. People were giving tribute and we're 807 00:41:11,680 --> 00:41:14,720 Speaker 2: saying prayers to the black woman's statue in Times Square. 808 00:41:14,800 --> 00:41:16,000 Speaker 2: Do we have a picture of that, By the way, 809 00:41:16,520 --> 00:41:20,040 Speaker 2: do we have a picture of the Grand priestess? You know, 810 00:41:20,040 --> 00:41:22,319 Speaker 2: in prior civilizations, you go to Florence and you see 811 00:41:22,320 --> 00:41:24,879 Speaker 2: the statue David. You go to Rome and you see 812 00:41:24,920 --> 00:41:28,600 Speaker 2: the pay I think it's in Rome. And when you 813 00:41:28,640 --> 00:41:30,480 Speaker 2: come to New York you go see a statue of 814 00:41:30,480 --> 00:41:35,279 Speaker 2: some slob who is, by the way, like fifteen feet tall. 815 00:41:35,320 --> 00:41:38,560 Speaker 2: It's a very big statue of just literally some random 816 00:41:38,600 --> 00:41:41,279 Speaker 2: black woman. Just to be reco in Times Square, the 817 00:41:41,280 --> 00:41:43,880 Speaker 2: most prominent statue is just literally a statue of a 818 00:41:43,880 --> 00:41:46,920 Speaker 2: black woman. I don't know. I prefer the statue of liberty, 819 00:41:47,200 --> 00:41:53,799 Speaker 2: not the statue of Yeah. So we're going to dive 820 00:41:53,840 --> 00:41:56,120 Speaker 2: more into that later. And there it is. Yeah, there's 821 00:41:56,160 --> 00:41:59,080 Speaker 2: the statue of the slab. I mean is what is 822 00:41:59,400 --> 00:42:00,840 Speaker 2: I want to know? What can you steal? 823 00:42:00,880 --> 00:42:01,040 Speaker 5: Man? 824 00:42:01,080 --> 00:42:02,839 Speaker 2: The argument? For me? What is the purpose of this? 825 00:42:04,320 --> 00:42:05,840 Speaker 2: Why is that there? I had to go by and 826 00:42:05,840 --> 00:42:08,279 Speaker 2: see it. By the way, Interestingly, it was very easy 827 00:42:08,280 --> 00:42:10,399 Speaker 2: to go up and take a picture. Not no one 828 00:42:10,440 --> 00:42:12,320 Speaker 2: really wanted to go take a picture next to it 829 00:42:12,360 --> 00:42:15,239 Speaker 2: either be called racist, they felt intimidated, or they thought 830 00:42:15,239 --> 00:42:19,040 Speaker 2: that she was going to start screaming at them is 831 00:42:19,200 --> 00:42:21,319 Speaker 2: right literally right in the center of Times Square. What 832 00:42:21,480 --> 00:42:25,160 Speaker 2: is their strong their steel man argument for this, oh 833 00:42:25,239 --> 00:42:28,719 Speaker 2: to challenge cultural norms and spark conversation. But previously marginalized, 834 00:42:28,760 --> 00:42:31,279 Speaker 2: unappreciated groups is that what art is about. I get 835 00:42:31,320 --> 00:42:34,040 Speaker 2: to a whole show about art and how we have 836 00:42:34,160 --> 00:42:37,520 Speaker 2: lost the plot when it comes to art. Roger Scrutin 837 00:42:37,560 --> 00:42:38,960 Speaker 2: May He Rest in Peace had that one of the 838 00:42:39,000 --> 00:42:43,719 Speaker 2: best documentaries and books and analyzes on how we in 839 00:42:43,760 --> 00:42:47,319 Speaker 2: the West have decided to embrace the ugly. They think 840 00:42:47,440 --> 00:42:51,120 Speaker 2: art is to expose systemic injustice. We believe art is 841 00:42:51,160 --> 00:42:56,520 Speaker 2: to uplift the divine, make human beings be better versions 842 00:42:56,560 --> 00:43:01,239 Speaker 2: of themselves, to appreciate the beautiful and the good and 843 00:43:01,280 --> 00:43:07,400 Speaker 2: the traditional, and to make society one that is worth defending, 844 00:43:08,200 --> 00:43:11,800 Speaker 2: not one of deconstruction. I could do a whole speech 845 00:43:11,840 --> 00:43:15,600 Speaker 2: on this, but I thought it was quite something that 846 00:43:15,680 --> 00:43:19,719 Speaker 2: we go from the statue of David in Florence as 847 00:43:19,760 --> 00:43:24,560 Speaker 2: a beautiful symbol of Western civilization the statue of Shiniqua. Okay, 848 00:43:24,760 --> 00:43:31,399 Speaker 2: so let's dive into the breaking news. So yesterday Elon Musk, 849 00:43:31,440 --> 00:43:33,680 Speaker 2: the world's richest man, someone who I have gotten to 850 00:43:33,760 --> 00:43:36,840 Speaker 2: know and I still get along with tweeted. The tweet 851 00:43:36,880 --> 00:43:39,680 Speaker 2: heard around the world. Now, it was seen over one 852 00:43:39,760 --> 00:43:44,239 Speaker 2: hundred million times on X. Now, to be fair, we 853 00:43:44,320 --> 00:43:46,160 Speaker 2: sent out a tweet the other day that was seen 854 00:43:46,200 --> 00:43:49,920 Speaker 2: about forty million times, so it's not bad. But we 855 00:43:49,960 --> 00:43:53,719 Speaker 2: also don't own the platform. Our tweet was Islam is 856 00:43:53,760 --> 00:43:57,360 Speaker 2: not compatible with Western civilization. But forty five million, I 857 00:43:57,400 --> 00:43:58,960 Speaker 2: think that's going to be a topic that I'm gonna 858 00:43:58,960 --> 00:44:01,479 Speaker 2: have to defend for the next couple of years. So Blake, 859 00:44:01,560 --> 00:44:05,000 Speaker 2: get ready and you read the Hidith for me. All right. However, 860 00:44:05,040 --> 00:44:06,840 Speaker 2: Elon Musk sends out this tweet, and I want to 861 00:44:06,920 --> 00:44:08,719 Speaker 2: analyze this, and I want to make sure that we 862 00:44:08,760 --> 00:44:14,719 Speaker 2: are understanding Elon's perspective correctly. The media is completely unhelpful here, 863 00:44:14,760 --> 00:44:18,000 Speaker 2: and I think I can offer some unique insight, having 864 00:44:18,040 --> 00:44:20,600 Speaker 2: being a proponent of the Big Beautiful Bill, having be 865 00:44:20,640 --> 00:44:22,960 Speaker 2: someone who is friendly with Elon and thinks that Elon 866 00:44:23,080 --> 00:44:28,120 Speaker 2: has really delivered a civilizational blessing to us by liberating 867 00:44:28,320 --> 00:44:30,319 Speaker 2: X and helping President Trump get elected, I think I'm 868 00:44:30,320 --> 00:44:34,000 Speaker 2: in a unique spot to actually explain this. Let me 869 00:44:34,040 --> 00:44:36,719 Speaker 2: go through his tweet quote. I'm sorry, but I just 870 00:44:36,800 --> 00:44:41,280 Speaker 2: can't stand it anymore? Can we get the tape of Network? 871 00:44:41,320 --> 00:44:43,760 Speaker 2: By the way, matt As Hallan, I'm not taking anymore. 872 00:44:43,760 --> 00:44:46,480 Speaker 2: Do you guys know what clip I'm talking about where 873 00:44:46,520 --> 00:44:49,760 Speaker 2: the guy goes out the window and just starts screaming 874 00:44:49,840 --> 00:44:52,440 Speaker 2: from the movie Network. Anyway, get that? That's Elon yesterday. 875 00:44:52,480 --> 00:44:56,720 Speaker 2: If we get that tape, this massive, outrageous, pork filled 876 00:44:56,800 --> 00:45:03,600 Speaker 2: congressional spending bill is a disgusting abomination. Shame on those 877 00:45:03,680 --> 00:45:06,600 Speaker 2: who voted for it. You know you did wrong. You 878 00:45:06,719 --> 00:45:10,160 Speaker 2: know it. Okay, So I wouldn't use that language at all, 879 00:45:10,239 --> 00:45:12,800 Speaker 2: But let me try to interpret what Elon is saying 880 00:45:12,880 --> 00:45:17,399 Speaker 2: here in less provocative and hyperbelic language. I wouldn't use 881 00:45:17,400 --> 00:45:22,040 Speaker 2: words like shame or outrageous or pork filled. Because understand 882 00:45:22,080 --> 00:45:24,440 Speaker 2: what this bill is. First and foremost, it is a 883 00:45:24,520 --> 00:45:27,800 Speaker 2: reconciliation bill. It is not a budget bill. It is 884 00:45:27,840 --> 00:45:31,200 Speaker 2: a reconciliation bill, which means you have to reconcile, reconcile 885 00:45:31,520 --> 00:45:35,680 Speaker 2: two different budgetary years together, combine them, and you can 886 00:45:35,719 --> 00:45:38,439 Speaker 2: add some spending and cut some spending. But it must 887 00:45:38,480 --> 00:45:40,920 Speaker 2: pass what is called the Bird rule in the Senate, 888 00:45:41,160 --> 00:45:44,640 Speaker 2: and it must be budgetary related. Now, what is Elon 889 00:45:44,719 --> 00:45:47,000 Speaker 2: getting at here is something that I think that is 890 00:45:47,040 --> 00:45:49,680 Speaker 2: important though, and we have Senator Ron Johnson that will 891 00:45:49,680 --> 00:45:51,480 Speaker 2: be joining us in the segment after this, who I 892 00:45:51,480 --> 00:45:54,239 Speaker 2: think is articulating a lot of these views. I don't 893 00:45:54,239 --> 00:45:57,120 Speaker 2: necessarily share them to the same extent because I am 894 00:45:57,160 --> 00:45:59,800 Speaker 2: still a big proponent of this bill, largely because of 895 00:45:59,840 --> 00:46:02,440 Speaker 2: the immigration wins and because of the no tax on 896 00:46:02,520 --> 00:46:04,840 Speaker 2: tips and the tax cut stuff. But we are fiscal 897 00:46:04,880 --> 00:46:07,360 Speaker 2: hawks on the show. We believe that if you do 898 00:46:07,440 --> 00:46:13,360 Speaker 2: not balance our budget, we are careening towards a fiscal apocalypse. Overnight. 899 00:46:13,400 --> 00:46:16,320 Speaker 2: Elon also tweeted this. He said, quote interest payments already 900 00:46:16,360 --> 00:46:20,279 Speaker 2: consume twenty five percent of all government revenue. Now. As 901 00:46:20,320 --> 00:46:23,120 Speaker 2: a pause, and as a side note, I literally got 902 00:46:23,160 --> 00:46:26,319 Speaker 2: my start as an advocate and as an activist back 903 00:46:26,360 --> 00:46:28,759 Speaker 2: in twenty eleven and twenty twelve when I was in 904 00:46:28,880 --> 00:46:32,279 Speaker 2: high school in the suburbs of Chicago talking about the 905 00:46:32,320 --> 00:46:37,000 Speaker 2: ballooning national debt. If we as conservatives are serious, we 906 00:46:37,080 --> 00:46:40,640 Speaker 2: must be fiscal hawks. It is generational theft, It is 907 00:46:40,719 --> 00:46:43,839 Speaker 2: the slavery of the free. It is by far one 908 00:46:43,880 --> 00:46:47,800 Speaker 2: of the greatest, if not the greatest, national security threats. 909 00:46:48,360 --> 00:46:50,440 Speaker 2: We should go back to baseline budgeting. We should go 910 00:46:50,480 --> 00:46:52,680 Speaker 2: back to zero based budgeting. We have been saying this 911 00:46:52,719 --> 00:46:55,880 Speaker 2: for the last thirteen years. When I started turning Point USA, 912 00:46:56,200 --> 00:47:01,120 Speaker 2: the national debt was hovering around eight to nine trillion dollars. 913 00:47:03,719 --> 00:47:07,520 Speaker 2: When I first started debt advocacy in sophomore junior high school, 914 00:47:07,520 --> 00:47:08,800 Speaker 2: and then when I graduate high school, I think was 915 00:47:08,840 --> 00:47:13,359 Speaker 2: around thirteen trillion dollars. I'm approximating these numbers, and now 916 00:47:13,400 --> 00:47:18,040 Speaker 2: it's upwards of thirty five trillion dollars, a nearly triple 917 00:47:18,120 --> 00:47:21,799 Speaker 2: increase of our national debt. Now, our response to COVID 918 00:47:21,800 --> 00:47:24,359 Speaker 2: didn't help, and it was completely unnecessary. One of the 919 00:47:24,400 --> 00:47:26,920 Speaker 2: reasons why is because we started to engage in a 920 00:47:27,040 --> 00:47:30,960 Speaker 2: decades long cheap money cycle. No one wanted the cut spending. 921 00:47:31,160 --> 00:47:34,239 Speaker 2: The stock market keep coming up, we keep on inflating 922 00:47:34,239 --> 00:47:39,759 Speaker 2: our currency and deteriorating our purchasing power. Nobody wanted to 923 00:47:39,880 --> 00:47:59,240 Speaker 2: have the tough conversation about cutting spending.