1 00:00:02,440 --> 00:00:05,440 Speaker 1: When the lights go down, the truth comes out. 2 00:00:05,559 --> 00:00:07,360 Speaker 2: Tucker, You're not the father. 3 00:00:07,480 --> 00:00:08,440 Speaker 3: This has to be wrong. 4 00:00:08,480 --> 00:00:14,520 Speaker 1: After Hours with Alex Stein, no filter, if it was okay, 5 00:00:14,600 --> 00:00:16,400 Speaker 1: if you have animal satin, no apologies. 6 00:00:16,560 --> 00:00:20,000 Speaker 4: You were talking about things that probably you shouldn't talk about. 7 00:00:20,440 --> 00:00:23,680 Speaker 1: The undisputed King of trolling my. 8 00:00:23,760 --> 00:00:27,320 Speaker 4: Own show at one point, your ancestor's own snags. 9 00:00:27,520 --> 00:00:28,920 Speaker 1: They tried to cancel. 10 00:00:28,680 --> 00:00:31,560 Speaker 2: Us deep platforming works. He wants to kill babies, but 11 00:00:31,680 --> 00:00:34,199 Speaker 2: she's still beautiful. Look at that booty on AOC. 12 00:00:34,440 --> 00:00:35,760 Speaker 4: That's my favorite, big boody. 13 00:00:35,520 --> 00:00:38,320 Speaker 1: Latina politics, culture hypocrisy. 14 00:00:38,520 --> 00:00:40,639 Speaker 4: They want them to have their penises cut. 15 00:00:40,440 --> 00:00:43,760 Speaker 1: Off, uncensored and uncontrolled hierarchy. 16 00:00:44,560 --> 00:00:47,440 Speaker 4: That's not saying they they want to cut people's penises. 17 00:00:46,960 --> 00:00:54,720 Speaker 1: On late night just got dangerous. After Hours with your 18 00:00:54,760 --> 00:00:57,560 Speaker 1: host Alex Stein starts right now. 19 00:01:03,000 --> 00:01:06,560 Speaker 4: Ladies and gentlemen, welcome to After Hours with Alex Stein, 20 00:01:06,680 --> 00:01:10,120 Speaker 4: right here in Real America's voice. Now, I'm sure you 21 00:01:10,240 --> 00:01:13,120 Speaker 4: guys are watching the news or watching this show, so 22 00:01:13,160 --> 00:01:15,480 Speaker 4: I'm sure you're well aware of all the issues that 23 00:01:15,520 --> 00:01:19,039 Speaker 4: we're facing with the TSA at all of America's airports. 24 00:01:19,440 --> 00:01:22,160 Speaker 4: Now things have cooled down because Donald Trump did say 25 00:01:22,160 --> 00:01:22,880 Speaker 4: that he's going. 26 00:01:22,760 --> 00:01:24,400 Speaker 2: To pay the TSA workers. 27 00:01:24,440 --> 00:01:28,080 Speaker 4: But sadly, even when he says something, it doesn't just automatically. 28 00:01:27,440 --> 00:01:28,600 Speaker 2: Go into effect. 29 00:01:28,840 --> 00:01:32,360 Speaker 4: So people like myself, who's flying into Atlanta Airport tomorrow, 30 00:01:32,520 --> 00:01:34,200 Speaker 4: is a little nervous, and I'm going to have to, 31 00:01:34,560 --> 00:01:36,120 Speaker 4: you know, be in a long line when I. 32 00:01:36,120 --> 00:01:37,680 Speaker 2: Have to get back on a return flight. 33 00:01:38,560 --> 00:01:41,760 Speaker 4: So I want to play some clips where the mainstream 34 00:01:41,800 --> 00:01:45,440 Speaker 4: media is addressing these issues, and we have Tom Homan 35 00:01:45,560 --> 00:01:48,920 Speaker 4: saying that the tsagents are going to get paid. 36 00:01:49,000 --> 00:01:49,920 Speaker 2: So let's play the clip. 37 00:01:50,640 --> 00:01:53,880 Speaker 5: Joining us down to discuss White House borders are Tom Holman, 38 00:01:53,960 --> 00:01:57,280 Speaker 5: who just visited the Houston Airport to monitor the very 39 00:01:57,400 --> 00:01:59,000 Speaker 5: very long security lines there. 40 00:01:59,440 --> 00:02:00,280 Speaker 2: Mister Homer has. 41 00:02:00,160 --> 00:02:02,840 Speaker 5: Also been involved in the talks on Capitol Hill to 42 00:02:02,960 --> 00:02:06,240 Speaker 5: end the shutdown. Thanks for joining us, mister Homan. President 43 00:02:06,280 --> 00:02:07,920 Speaker 5: Trump now says that there is in fact a way 44 00:02:07,920 --> 00:02:11,320 Speaker 5: to pay TSA workers, possibly as soon as tomorrow. Can 45 00:02:11,400 --> 00:02:14,520 Speaker 5: TSA agents expect a paycheck tomorrow? And when can Americans 46 00:02:14,560 --> 00:02:16,360 Speaker 5: expect the long way times to die down? 47 00:02:18,760 --> 00:02:22,560 Speaker 6: Well, so as Congress opens up the government and funds 48 00:02:23,040 --> 00:02:26,480 Speaker 6: to Department Homeland Security, that's what needs to happen. But yeah, 49 00:02:26,760 --> 00:02:29,760 Speaker 6: I talked to Secretary of Mark Walliamum and Yester. There 50 00:02:29,800 --> 00:02:33,239 Speaker 6: is a plan to get these ts agents pay, hopefully 51 00:02:33,320 --> 00:02:37,040 Speaker 6: by tomorrow Tuesday. So yeah, it's good news because these 52 00:02:37,080 --> 00:02:40,360 Speaker 6: TSA officers are struggling. They can't don't feed their families 53 00:02:40,400 --> 00:02:43,080 Speaker 6: or pay the rent. Your heart goes out to them 54 00:02:43,080 --> 00:02:46,160 Speaker 6: because they're sitting there right now, working very hard and 55 00:02:46,240 --> 00:02:48,600 Speaker 6: not being paid by members of Congress now on vacation 56 00:02:48,720 --> 00:02:50,639 Speaker 6: getting paid. It's ridiculous. 57 00:02:54,760 --> 00:02:57,360 Speaker 4: Now, that is great news from Tom Holman saying that 58 00:02:57,440 --> 00:02:59,239 Speaker 4: TSA is going to get paid if you want my 59 00:02:59,360 --> 00:03:02,200 Speaker 4: honest to pay. I don't like the TSA. Every time 60 00:03:02,240 --> 00:03:04,480 Speaker 4: I go through the TSA, I feel like I alert 61 00:03:04,560 --> 00:03:06,400 Speaker 4: something where they got to come down there and give 62 00:03:06,440 --> 00:03:08,600 Speaker 4: me a pat down. And it's never like some hot 63 00:03:08,600 --> 00:03:12,239 Speaker 4: dig booty latina. It's always some random guy that's like 64 00:03:12,280 --> 00:03:14,480 Speaker 4: three hundred pounds it just got off a smoke break 65 00:03:14,560 --> 00:03:16,840 Speaker 4: that smells like marble lights, just touching me in my 66 00:03:17,000 --> 00:03:18,799 Speaker 4: junk area with the back of his hand. So I 67 00:03:18,840 --> 00:03:20,720 Speaker 4: guess it's not gay if it's the back of his hand. 68 00:03:20,760 --> 00:03:22,359 Speaker 2: But that's not important. 69 00:03:22,440 --> 00:03:24,880 Speaker 4: What is important is that these TSA agents deserve to 70 00:03:24,919 --> 00:03:25,400 Speaker 4: get paid. 71 00:03:25,680 --> 00:03:27,200 Speaker 2: But really, I think. 72 00:03:27,040 --> 00:03:30,320 Speaker 4: The onus of our safety should be the responsibility of 73 00:03:30,400 --> 00:03:33,120 Speaker 4: each individual airport, and I would like it if they 74 00:03:33,120 --> 00:03:36,160 Speaker 4: would just hire private security to run this thing so 75 00:03:36,200 --> 00:03:39,200 Speaker 4: that we're not reliant on the government to pay these 76 00:03:39,280 --> 00:03:43,160 Speaker 4: hard working individuals that go to work every day to 77 00:03:43,280 --> 00:03:47,840 Speaker 4: keep our airlines in flights safe. I get really frustrated 78 00:03:47,880 --> 00:03:54,960 Speaker 4: that a government that oftentimes messes up, is incompetent, that 79 00:03:55,080 --> 00:03:57,720 Speaker 4: really doesn't care about the people, is in charge of 80 00:03:57,720 --> 00:04:00,760 Speaker 4: something that is so important, because yes, I fly around 81 00:04:00,840 --> 00:04:02,640 Speaker 4: town for work, but I also like to go on 82 00:04:02,760 --> 00:04:06,400 Speaker 4: vacation just like every other American citizen. And sometimes you 83 00:04:06,440 --> 00:04:08,480 Speaker 4: have to fly because we're going to a funeral or 84 00:04:08,480 --> 00:04:11,520 Speaker 4: a sad event. So every time you get on a plane, 85 00:04:11,560 --> 00:04:15,320 Speaker 4: it is a significant event, and we are putting our 86 00:04:15,440 --> 00:04:19,760 Speaker 4: lives on the line and hoping and praying that these 87 00:04:19,800 --> 00:04:22,039 Speaker 4: guys will make sure a terrorist doesn't come on the 88 00:04:22,080 --> 00:04:22,440 Speaker 4: plane and. 89 00:04:22,560 --> 00:04:24,520 Speaker 2: Oh, I'll a acbar the plane. 90 00:04:24,800 --> 00:04:26,599 Speaker 4: So I think if we're going to pay anybody, we 91 00:04:26,600 --> 00:04:29,040 Speaker 4: should be paying our tsa workers. The fact that this 92 00:04:29,200 --> 00:04:31,719 Speaker 4: happened is ridiculous, and I'm going to let Tom Homan 93 00:04:31,839 --> 00:04:34,960 Speaker 4: explain why we're even in this horrible situation. 94 00:04:36,279 --> 00:04:38,599 Speaker 5: If the administration had the power to move funds around 95 00:04:38,600 --> 00:04:41,000 Speaker 5: to pay ts agents this whole time. Why did it 96 00:04:41,040 --> 00:04:42,920 Speaker 5: take forty one days to do it? And how long 97 00:04:43,000 --> 00:04:44,880 Speaker 5: will this money last? 98 00:04:46,760 --> 00:04:46,920 Speaker 7: Oh? 99 00:04:47,000 --> 00:04:49,080 Speaker 6: Look, paying TSA agents so doesn't pay the rest of 100 00:04:49,120 --> 00:04:51,800 Speaker 6: the primer homeland security. You know, you got the Coast Guard, 101 00:04:51,880 --> 00:04:54,400 Speaker 6: you got SISA, you got the Men and Women's Seecret Service, 102 00:04:54,680 --> 00:04:56,160 Speaker 6: you got a lot of people work as a primer 103 00:04:56,160 --> 00:04:58,800 Speaker 6: home security isn't getting paid. And even though you know 104 00:04:59,360 --> 00:05:01,480 Speaker 6: we've got the mission and support under TSA, I mean 105 00:05:01,560 --> 00:05:05,960 Speaker 6: under ICE, right, Ice officers, excuse me, they'll be getting paid, 106 00:05:05,960 --> 00:05:07,720 Speaker 6: But how about the mission support people. The people have 107 00:05:07,760 --> 00:05:09,600 Speaker 6: to keep the lights on it and you know, and 108 00:05:09,680 --> 00:05:13,000 Speaker 6: do all the things that they have to do. So 109 00:05:13,120 --> 00:05:15,240 Speaker 6: ICE agents go out and do their job. So you know, 110 00:05:15,360 --> 00:05:18,000 Speaker 6: they just need to fund the Department Homeland Security. After all, 111 00:05:18,160 --> 00:05:21,560 Speaker 6: we're talking about the Department of Homeland Security. And in time, 112 00:05:21,560 --> 00:05:24,280 Speaker 6: we have a heightened threat you know, posture right now 113 00:05:24,279 --> 00:05:26,400 Speaker 6: in this country because of what's going on in the world. 114 00:05:26,600 --> 00:05:28,520 Speaker 6: This should be the last thing they're fighting and we're 115 00:05:28,520 --> 00:05:29,640 Speaker 6: funding for right. 116 00:05:29,680 --> 00:05:32,040 Speaker 5: But if President Trump had the power to pay ts 117 00:05:32,080 --> 00:05:34,680 Speaker 5: agents this whole time, why only start doing it Now. 118 00:05:37,320 --> 00:05:39,800 Speaker 6: Look, I don't understand. Look, I'm a cop. I don't 119 00:05:39,839 --> 00:05:43,960 Speaker 6: understand the whole you know, appropriations language, appropriations law. I 120 00:05:44,080 --> 00:05:46,200 Speaker 6: just you know, I'm just glad that President Trump is 121 00:05:46,240 --> 00:05:46,880 Speaker 6: able to pay. 122 00:05:46,720 --> 00:05:47,559 Speaker 1: The TSA agents. 123 00:05:47,560 --> 00:05:49,960 Speaker 6: At least that's the start. But again, there's a lot more, 124 00:05:50,160 --> 00:05:52,560 Speaker 6: many more, thousands of more, tens of thousands of more 125 00:05:52,920 --> 00:05:54,839 Speaker 6: DHS employees who are not being paid. 126 00:05:54,880 --> 00:05:55,679 Speaker 2: They need to be paid. 127 00:05:59,320 --> 00:06:02,240 Speaker 4: Now, that's it incredibly alarming the fact that we have 128 00:06:02,320 --> 00:06:05,919 Speaker 4: all these lib tarded politicians that don't want to fund DHS, 129 00:06:05,920 --> 00:06:09,640 Speaker 4: and because of their protests and paying the Department of 130 00:06:09,640 --> 00:06:14,200 Speaker 4: Homeland Security, they are punishing the TSA, which is responsible 131 00:06:14,240 --> 00:06:17,400 Speaker 4: for keeping our airports safe. So now we have a 132 00:06:17,480 --> 00:06:22,040 Speaker 4: workforce that has overworked and underpaid, that is not showing 133 00:06:22,120 --> 00:06:24,800 Speaker 4: up and not doing their job. Because who wants to 134 00:06:24,800 --> 00:06:27,320 Speaker 4: go work for free. It's not a charity. It is 135 00:06:27,360 --> 00:06:31,400 Speaker 4: a serious responsibility to keep our safety, you. 136 00:06:31,680 --> 00:06:33,240 Speaker 2: Safe, to keep our travels safe. 137 00:06:33,240 --> 00:06:35,039 Speaker 4: I mean, it's a very serious thing. 138 00:06:35,560 --> 00:06:35,960 Speaker 3: But we have. 139 00:06:35,960 --> 00:06:41,640 Speaker 4: Libtard politicians like Rep. Hine saying that paying TSA agents 140 00:06:41,760 --> 00:06:47,480 Speaker 4: is somehow illegal. What did Democrats get out of this standoff? 141 00:06:50,760 --> 00:06:54,279 Speaker 8: Yeah, well, Margaret, the standoff is not done yet, right, 142 00:06:54,400 --> 00:06:59,520 Speaker 8: the president is illegally paying apparently TSA agents. You had 143 00:06:59,520 --> 00:07:02,120 Speaker 8: the Senate, as you pointed out with mister Honan Homan, 144 00:07:02,560 --> 00:07:06,159 Speaker 8: pass a bipartisan bill unanimously in the United States Senate 145 00:07:06,160 --> 00:07:08,200 Speaker 8: to say, look, let's fund everybody else and let's deal 146 00:07:08,240 --> 00:07:11,560 Speaker 8: with this thorny issue about ice. And then you had 147 00:07:11,560 --> 00:07:14,160 Speaker 8: the Republican House say, hell, no, we're not doing that. 148 00:07:18,160 --> 00:07:20,280 Speaker 4: I don't think there could be a more clear example 149 00:07:20,560 --> 00:07:25,040 Speaker 4: of a politician not caring about his constituents or American 150 00:07:25,120 --> 00:07:28,720 Speaker 4: citizens for that matter, saying it's illegal to pay these 151 00:07:28,760 --> 00:07:32,240 Speaker 4: TSA workers who have been grinding without paychecks for over 152 00:07:32,280 --> 00:07:36,040 Speaker 4: a month. I mean, this is the sad reality in 153 00:07:36,080 --> 00:07:38,600 Speaker 4: which we live in that these people get elected to 154 00:07:38,680 --> 00:07:41,320 Speaker 4: office and instead of serving the people that elected them, 155 00:07:41,640 --> 00:07:44,560 Speaker 4: they serve their own personal self interests. 156 00:07:45,080 --> 00:07:47,680 Speaker 2: And it's all just nonsense. 157 00:07:48,320 --> 00:07:50,440 Speaker 4: And the fact that the TSA agents are finally getting 158 00:07:50,440 --> 00:07:51,720 Speaker 4: paid is not illegal. 159 00:07:52,040 --> 00:07:53,520 Speaker 2: So you're a liar, You're a. 160 00:07:53,560 --> 00:07:57,160 Speaker 4: Sick individual, and re rely upon these TSA agents to 161 00:07:57,160 --> 00:08:00,200 Speaker 4: be able to travel freely in this country. So I'm 162 00:08:00,240 --> 00:08:04,000 Speaker 4: sick and tired of politicians like Rep. Hine spreading misinformation 163 00:08:04,160 --> 00:08:06,160 Speaker 4: and lying to the American people and acting like a 164 00:08:06,240 --> 00:08:09,680 Speaker 4: victim because hard working Americans are finally getting paid for 165 00:08:09,760 --> 00:08:10,679 Speaker 4: the job that they've. 166 00:08:10,520 --> 00:08:11,720 Speaker 2: Been doing for free. 167 00:08:12,360 --> 00:08:15,440 Speaker 4: Now, of course these politicians are disconnected from reality because 168 00:08:15,480 --> 00:08:19,640 Speaker 4: we have the homosexual senator from the great state of 169 00:08:19,640 --> 00:08:24,800 Speaker 4: South Carolina on vacation at Disneyland. Now, the reason why 170 00:08:24,840 --> 00:08:29,240 Speaker 4: these pictures are so incredibly shocking from TMZ is because 171 00:08:29,320 --> 00:08:35,320 Speaker 4: Lindsey Graham doesn't have any children. He's not married, So 172 00:08:35,559 --> 00:08:41,160 Speaker 4: why on earth is he at Disneyland with Mickey Mouse. 173 00:08:41,840 --> 00:08:43,040 Speaker 2: He is a senator. 174 00:08:43,720 --> 00:08:49,920 Speaker 4: I have no idea the reason or reasons why an 175 00:08:49,960 --> 00:08:54,760 Speaker 4: elected official would spend his vacation that has no children 176 00:08:55,160 --> 00:08:57,880 Speaker 4: and has a lot of rumors saying that he is 177 00:08:57,920 --> 00:09:02,960 Speaker 4: a homosexual. Off this seems like he's a predator. I mean, 178 00:09:03,240 --> 00:09:05,120 Speaker 4: I was gonna pull my punches. I was gonna try 179 00:09:05,120 --> 00:09:08,000 Speaker 4: to say something politically correct. But if you're an adult 180 00:09:08,120 --> 00:09:10,600 Speaker 4: and you don't have kids and you're going to Disneyland, 181 00:09:10,840 --> 00:09:13,720 Speaker 4: you're a pervert. That's why Lego Land doesn't let you 182 00:09:13,760 --> 00:09:16,240 Speaker 4: go to their theme parks without a child, which is 183 00:09:16,240 --> 00:09:17,800 Speaker 4: probably how it should be. I know, we have a 184 00:09:17,840 --> 00:09:19,800 Speaker 4: culture of Disney adults, and I get it. Some of 185 00:09:19,840 --> 00:09:21,880 Speaker 4: the rides are fine and some of the nosologia is 186 00:09:21,920 --> 00:09:24,000 Speaker 4: cool to go visit where you win as a kid, 187 00:09:24,280 --> 00:09:27,320 Speaker 4: But you're a senator, We're in a war with Iran 188 00:09:27,800 --> 00:09:31,040 Speaker 4: and you go to the Magic Kingdom to hang out 189 00:09:31,080 --> 00:09:35,360 Speaker 4: with Mickey Mouse. I mean that is insane, and I say. 190 00:09:35,240 --> 00:09:37,920 Speaker 2: It on every show. Reality is stranger than fiction. 191 00:09:38,679 --> 00:09:43,160 Speaker 4: Why is Lindsey Graham Lady g at Disneyland? And do 192 00:09:43,200 --> 00:09:45,680 Speaker 4: you think he was worried about going through the TSA line? No, 193 00:09:45,760 --> 00:09:48,000 Speaker 4: because he had a personal escort, or he's probably on 194 00:09:48,040 --> 00:09:49,800 Speaker 4: a private jet paid. 195 00:09:49,520 --> 00:09:51,680 Speaker 2: For by some foreign lobby. 196 00:09:52,880 --> 00:09:55,640 Speaker 4: Now I am actually upset, and I'm so happy that 197 00:09:55,760 --> 00:09:59,320 Speaker 4: TMZ is exposing this because our elected officials should be 198 00:09:59,360 --> 00:10:02,560 Speaker 4: in Washington, DC right now working on a plan to 199 00:10:02,720 --> 00:10:05,800 Speaker 4: fund the TSA, to fund the Department of Homeland Security 200 00:10:05,960 --> 00:10:10,520 Speaker 4: to keep Americans safe. But instead we have homosexual senators, 201 00:10:10,559 --> 00:10:13,959 Speaker 4: allegedly homosexual, going to Disneyland to hang out with a 202 00:10:14,000 --> 00:10:17,280 Speaker 4: bunch of children when he doesn't have any children of 203 00:10:17,320 --> 00:10:22,360 Speaker 4: his own. That is freaky, That is nasty. The whole 204 00:10:22,440 --> 00:10:25,360 Speaker 4: world should be talking about this. The same guy that 205 00:10:25,440 --> 00:10:28,000 Speaker 4: wants to send your child to go fight in war 206 00:10:28,640 --> 00:10:31,680 Speaker 4: wants to hang out with them when they're pre provescent 207 00:10:32,320 --> 00:10:37,920 Speaker 4: at the most magical place on Earth, Disneyland. It's sick, 208 00:10:38,040 --> 00:10:40,880 Speaker 4: it's disgusting. It pisses me off, and it should piss 209 00:10:40,960 --> 00:10:44,360 Speaker 4: you off too. Lindsey Graham, you need to do better. 210 00:10:44,400 --> 00:10:44,679 Speaker 2: Brother. 211 00:10:45,520 --> 00:10:50,640 Speaker 4: You're at disney freaking Land while the world is at war. 212 00:10:51,120 --> 00:10:54,480 Speaker 4: You should be at least on a beach with a 213 00:10:54,600 --> 00:10:59,480 Speaker 4: my tie or skiing at some ski chalet or something 214 00:11:00,400 --> 00:11:03,200 Speaker 4: with a bunch of children. At Disneyland, it makes you 215 00:11:03,240 --> 00:11:05,480 Speaker 4: look like a pervert. It makes you look like a predator, 216 00:11:05,760 --> 00:11:08,280 Speaker 4: and I would like to check your hard drive because 217 00:11:08,360 --> 00:11:11,479 Speaker 4: I would imagine that any adult that goes to Disneyland 218 00:11:11,520 --> 00:11:16,000 Speaker 4: without a child is probably a perv and the kind that. 219 00:11:15,960 --> 00:11:18,319 Speaker 2: Likes little children. Now, I'm not saying that he likes that. 220 00:11:18,400 --> 00:11:20,480 Speaker 4: I have no evidence other than the fact that he's 221 00:11:20,480 --> 00:11:25,440 Speaker 4: spending his one vacation at Disneyland, a theme park based 222 00:11:25,640 --> 00:11:29,960 Speaker 4: around children. So if you guys see Lindsey Graham at Disneyland, 223 00:11:30,280 --> 00:11:32,360 Speaker 4: please take a selfie send it to me. 224 00:11:32,720 --> 00:11:33,560 Speaker 2: I want to share it. 225 00:11:33,640 --> 00:11:36,359 Speaker 4: And I want to expose the Senator from South Carolina 226 00:11:36,559 --> 00:11:39,839 Speaker 4: because he doesn't care about his constituents in the Great State. 227 00:11:40,160 --> 00:11:42,880 Speaker 4: He doesn't care about all of the Americans that are 228 00:11:42,920 --> 00:11:46,800 Speaker 4: struggling financially because the inflation and the rising gas prices. 229 00:11:46,920 --> 00:11:51,880 Speaker 4: All he cares about is hanging out with Mickey freakin Mouse. 230 00:11:52,600 --> 00:11:56,400 Speaker 4: It's disgusting and you should be disgusted to all right, guys, 231 00:11:56,400 --> 00:11:58,840 Speaker 4: coming up next, we're going to talk about the Chicago 232 00:11:58,880 --> 00:12:02,800 Speaker 4: public school system and how seven out of ten kids 233 00:12:03,000 --> 00:12:05,079 Speaker 4: can't even read at their grade level. 234 00:12:05,400 --> 00:12:08,480 Speaker 2: It's insane, but they're using AI to fix it, allegedly. 235 00:12:08,880 --> 00:12:09,679 Speaker 2: You don't want to miss it. 236 00:12:09,679 --> 00:12:36,800 Speaker 7: Coming up next, Welcome back to After Hours of Alex 237 00:12:36,840 --> 00:12:38,880 Speaker 7: Stein right here on Real America's Voice. 238 00:12:39,520 --> 00:12:39,679 Speaker 3: Now. 239 00:12:39,720 --> 00:12:44,400 Speaker 4: I'm sure you're wondering why is America so dumb? And 240 00:12:44,440 --> 00:12:46,760 Speaker 4: not everybody's dumb. I would say the boomers are actually 241 00:12:46,800 --> 00:12:49,000 Speaker 4: the last ones that are kind of smart. Millennials are 242 00:12:49,040 --> 00:12:53,800 Speaker 4: decently smart, but the generations that are much younger than 243 00:12:53,880 --> 00:12:57,920 Speaker 4: us are basically retarded. And I wish I was kidding, 244 00:12:58,520 --> 00:13:01,280 Speaker 4: But if you look at all all of the public 245 00:13:01,320 --> 00:13:06,600 Speaker 4: information regarding the Chicago Public school system, it says that 246 00:13:06,840 --> 00:13:11,000 Speaker 4: seven out of ten students in first grade to eighth 247 00:13:11,080 --> 00:13:15,240 Speaker 4: grade cannot read at their current grade level. That is, 248 00:13:15,800 --> 00:13:19,320 Speaker 4: that's a very alarming statistic that should scare all of 249 00:13:19,400 --> 00:13:21,960 Speaker 4: us because one day, these are the young people that 250 00:13:22,000 --> 00:13:26,280 Speaker 4: are going to be leading our country. Now, some smart 251 00:13:26,640 --> 00:13:30,360 Speaker 4: Silicon Valley tech person has come up with some new 252 00:13:30,480 --> 00:13:35,400 Speaker 4: plan to use artificial intelligence to help teach these kids 253 00:13:35,440 --> 00:13:38,920 Speaker 4: how to read. Now, in theory, it sounds good, but 254 00:13:39,040 --> 00:13:42,520 Speaker 4: also in reality it's not. Because I'm worried that all 255 00:13:42,520 --> 00:13:45,040 Speaker 4: these future doctors that are in medical school right now 256 00:13:45,160 --> 00:13:47,560 Speaker 4: and these future attorneys that are in law school right 257 00:13:47,600 --> 00:13:50,960 Speaker 4: now are all using chat GBT on their tests instead 258 00:13:50,960 --> 00:13:53,400 Speaker 4: of actually learning the curriculum that they're supposed to learn. 259 00:13:54,280 --> 00:13:56,760 Speaker 4: Because everybody can just type in a question and get 260 00:13:56,760 --> 00:14:00,000 Speaker 4: an answer immediately and then just regurgitated on a test 261 00:14:00,160 --> 00:14:04,200 Speaker 4: without actually learning it, So to me, AI makes us dumber. 262 00:14:04,280 --> 00:14:06,680 Speaker 4: There are people that have delivered for door Dash and 263 00:14:06,760 --> 00:14:09,559 Speaker 4: Uber Eats in New York City for years that don't 264 00:14:09,720 --> 00:14:13,480 Speaker 4: even know the streets you know by heart because they're 265 00:14:13,480 --> 00:14:17,160 Speaker 4: constantly looking at their GPS system, so they never train 266 00:14:17,240 --> 00:14:20,560 Speaker 4: their amigdala to actually remember the routes and areas that 267 00:14:20,600 --> 00:14:24,640 Speaker 4: they're normally always in, which is insane. If you live 268 00:14:24,680 --> 00:14:26,880 Speaker 4: in a city, you shouldn't always be looking at your GPS. 269 00:14:26,920 --> 00:14:29,520 Speaker 4: You should learn north, south, east, and west and know 270 00:14:29,880 --> 00:14:34,200 Speaker 4: which streets go where and which neighborhoods are what. So 271 00:14:34,480 --> 00:14:37,760 Speaker 4: to me, artificial intelligence is a crutch that will just 272 00:14:37,880 --> 00:14:42,200 Speaker 4: make us dumber. But when you have a society and 273 00:14:42,320 --> 00:14:46,920 Speaker 4: young children that basically can't read, maybe we should start 274 00:14:47,000 --> 00:14:49,960 Speaker 4: some sort of new method with artificial intelligence to try 275 00:14:50,000 --> 00:14:51,320 Speaker 4: to I guess. 276 00:14:51,600 --> 00:14:53,240 Speaker 2: Teach a couple more of them how to read. 277 00:14:53,600 --> 00:14:55,720 Speaker 4: But here, let's play this clip talking about this new 278 00:14:55,840 --> 00:14:59,520 Speaker 4: AI powered school called Alpha Schools that's using AI to 279 00:14:59,560 --> 00:15:01,600 Speaker 4: teach it's how to not be so dumb. 280 00:15:02,040 --> 00:15:05,040 Speaker 9: The students are people of whose parents can afford fifty 281 00:15:05,080 --> 00:15:07,240 Speaker 9: five thousand dollars a year in tuition. I'll just say 282 00:15:07,280 --> 00:15:10,600 Speaker 9: that for this private school. But this is a fascinating 283 00:15:10,640 --> 00:15:12,640 Speaker 9: story on so many different levels. It's going to be 284 00:15:12,680 --> 00:15:16,680 Speaker 9: called Alpha Schools. And Alpha Schools is a private school. 285 00:15:16,840 --> 00:15:18,160 Speaker 9: I don't want to call it a chain, but it's 286 00:15:18,160 --> 00:15:20,920 Speaker 9: a group of schools that exist in other states, formed 287 00:15:20,920 --> 00:15:23,880 Speaker 9: out of Austin, Texas. And here's how the day works 288 00:15:23,880 --> 00:15:26,040 Speaker 9: for these students K through eight right now, but eventually 289 00:15:26,080 --> 00:15:26,640 Speaker 9: they want to make. 290 00:15:26,560 --> 00:15:27,480 Speaker 3: It K through twelve. 291 00:15:27,960 --> 00:15:31,440 Speaker 9: They do essentially all the core academic learning in two 292 00:15:31,560 --> 00:15:35,800 Speaker 9: hours in those booths with AI, and it's very personalized. 293 00:15:35,840 --> 00:15:40,280 Speaker 9: They interact with the AI. They learn their core subjects, reading, writing, arithmetic, 294 00:15:40,360 --> 00:15:42,280 Speaker 9: and all the things that we learn, and then the 295 00:15:42,320 --> 00:15:45,640 Speaker 9: rest of the day is left open to workshops, to 296 00:15:46,120 --> 00:15:48,880 Speaker 9: entrepreneurial stuff, even for kids as young as second and 297 00:15:48,920 --> 00:15:52,920 Speaker 9: third grade, business stuff, some arts as well, and that's 298 00:15:52,920 --> 00:15:55,400 Speaker 9: where they really get their collaboration with other students and 299 00:15:55,520 --> 00:15:59,240 Speaker 9: problem solving skills in no teachers. They are hiring the 300 00:15:59,240 --> 00:16:01,920 Speaker 9: school as current it's going to be downtown. They would 301 00:16:02,000 --> 00:16:03,840 Speaker 9: love if you have a teaching background, but you don't 302 00:16:03,840 --> 00:16:05,680 Speaker 9: have to have one. You have to have a bachelor's degree, 303 00:16:05,680 --> 00:16:08,120 Speaker 9: but you don't have to have any educational experience or 304 00:16:08,120 --> 00:16:11,440 Speaker 9: even a degree in education, because it's the AI doing 305 00:16:11,520 --> 00:16:14,800 Speaker 9: the core learning with the student and then it opens 306 00:16:14,880 --> 00:16:16,880 Speaker 9: up the rest of the day. Look, AI is coming 307 00:16:16,880 --> 00:16:19,120 Speaker 9: to our schools in one way or another, there's no 308 00:16:19,200 --> 00:16:24,160 Speaker 9: doubt about it. Will teachers be okay essentially saying takeover computers? 309 00:16:24,200 --> 00:16:24,600 Speaker 1: Probably not. 310 00:16:24,680 --> 00:16:26,840 Speaker 9: There's going to be Obviously this is a private school. 311 00:16:26,880 --> 00:16:28,800 Speaker 9: They can kind of do what they want here versus 312 00:16:28,840 --> 00:16:30,800 Speaker 9: the public schools. But I do find it to be 313 00:16:30,800 --> 00:16:33,320 Speaker 9: a fascinating discussion on where we're going with AI it's 314 00:16:33,400 --> 00:16:36,600 Speaker 9: capabilities and how much the education experience is going to 315 00:16:36,600 --> 00:16:37,840 Speaker 9: embrace this stuff. 316 00:16:41,560 --> 00:16:44,400 Speaker 4: In theory is school with a fifty five thousand dollars 317 00:16:44,400 --> 00:16:47,360 Speaker 4: tuition price tag. You would think these are obviously affluent 318 00:16:47,480 --> 00:16:51,400 Speaker 4: parents that care about their kids' maturation and their ability 319 00:16:51,480 --> 00:16:55,240 Speaker 4: to have problem solving skills in the real world. But 320 00:16:55,320 --> 00:16:57,960 Speaker 4: if you can learn the entire curriculum in two hours 321 00:16:58,360 --> 00:17:02,960 Speaker 4: from AI without a teacher, that should scare you. This 322 00:17:03,040 --> 00:17:05,920 Speaker 4: is the future of schooling, a school with no teachers, 323 00:17:05,960 --> 00:17:08,159 Speaker 4: basically just hall monitors to make sure the kids are 324 00:17:08,200 --> 00:17:09,880 Speaker 4: staring at their laptops for the two and a half 325 00:17:09,920 --> 00:17:12,520 Speaker 4: hours of required learning and then the rest of the day. 326 00:17:12,560 --> 00:17:14,359 Speaker 4: I guess they can make business plans and create a 327 00:17:14,400 --> 00:17:18,480 Speaker 4: smoothie shop, or you know, figure out how to become I. 328 00:17:18,880 --> 00:17:19,439 Speaker 2: Don't even know. 329 00:17:19,480 --> 00:17:21,320 Speaker 4: I don't even know what business plans and fourth grader 330 00:17:21,400 --> 00:17:23,920 Speaker 4: is going to learn I mean the lemonade stand. None 331 00:17:23,920 --> 00:17:26,320 Speaker 4: of this makes sense, but that's because the future is 332 00:17:26,440 --> 00:17:27,280 Speaker 4: very dark. 333 00:17:27,040 --> 00:17:27,960 Speaker 2: And very demented. 334 00:17:28,320 --> 00:17:30,840 Speaker 4: And when you have the ability to spend fifty five 335 00:17:30,880 --> 00:17:33,840 Speaker 4: thousand dollars in your child's education, you're probably rich. You're 336 00:17:33,880 --> 00:17:36,960 Speaker 4: probably busy working a job, and you're trying to hand 337 00:17:37,200 --> 00:17:40,960 Speaker 4: over that responsibility to a computer, which to me is 338 00:17:41,080 --> 00:17:44,360 Speaker 4: very dumb. I grew up in an affluent neighborhood in Dallas, 339 00:17:44,520 --> 00:17:46,920 Speaker 4: and I know that a lot of nannies basically raise 340 00:17:46,960 --> 00:17:49,800 Speaker 4: these kids instead of the parents, And to me, this 341 00:17:49,960 --> 00:17:52,919 Speaker 4: seems like the exact same thing. But instead of a nanny, 342 00:17:53,040 --> 00:17:54,920 Speaker 4: you know, instead of a big booty latina, I teaching 343 00:17:54,960 --> 00:17:56,879 Speaker 4: your kids how to be bilingual and learn a little 344 00:17:56,880 --> 00:18:00,919 Speaker 4: Spanish while also learning some real skills for the real world. 345 00:18:01,560 --> 00:18:03,840 Speaker 4: You're just paying fifty five thousand dollars to make your 346 00:18:03,920 --> 00:18:06,000 Speaker 4: kids send a cubicle and stare at a computer for 347 00:18:06,040 --> 00:18:10,399 Speaker 4: two and a half hours. It's insane. And this is 348 00:18:10,400 --> 00:18:14,520 Speaker 4: the future, a school with no teachers, It's very alarming. 349 00:18:14,560 --> 00:18:18,840 Speaker 4: Now this is Alpha School's representative talking about their school's mission. 350 00:18:19,720 --> 00:18:22,480 Speaker 10: Well, our traditional education system was built out of the 351 00:18:22,480 --> 00:18:26,440 Speaker 10: Industrial revolution to create workers, and now in this new 352 00:18:26,480 --> 00:18:29,679 Speaker 10: AI world, it is so important that we create individuals 353 00:18:29,720 --> 00:18:32,920 Speaker 10: who are dynamic, adaptable, and most importantly, have the skill 354 00:18:33,000 --> 00:18:35,840 Speaker 10: of learning how to learn. So at Alpha, we're using 355 00:18:35,880 --> 00:18:39,399 Speaker 10: artificial intelligence to raise human intelligence. Our students are able 356 00:18:39,480 --> 00:18:43,480 Speaker 10: to get the level and pace of academic knowledge that 357 00:18:43,520 --> 00:18:47,240 Speaker 10: they need meets them exactly where they're at. As a result, 358 00:18:47,320 --> 00:18:51,800 Speaker 10: we see student growth exponentially go up no matter where 359 00:18:51,840 --> 00:18:54,320 Speaker 10: a student comes to us. And we're doing all this 360 00:18:54,359 --> 00:18:57,200 Speaker 10: in only two hours during the school day instead of 361 00:18:57,240 --> 00:19:00,520 Speaker 10: a traditional six hour academic school day. And then of 362 00:19:00,520 --> 00:19:02,199 Speaker 10: course that begs the question, what do you do with 363 00:19:02,240 --> 00:19:04,240 Speaker 10: the rest of the day, And our answer is that 364 00:19:04,280 --> 00:19:09,959 Speaker 10: we teach life skills leadership, entrepreneurship, financial literacy, public speaking, 365 00:19:10,040 --> 00:19:12,480 Speaker 10: relationship building. Those are the skills they are going to 366 00:19:12,480 --> 00:19:16,040 Speaker 10: help kids be successful. We also are teaching them how 367 00:19:16,080 --> 00:19:19,120 Speaker 10: to use tools like AI that they're going to need 368 00:19:19,119 --> 00:19:22,159 Speaker 10: to be rapidly successful at learning. 369 00:19:26,400 --> 00:19:29,120 Speaker 4: So you're going to use AI to teach children how 370 00:19:29,160 --> 00:19:29,879 Speaker 4: to use AI? 371 00:19:31,800 --> 00:19:33,800 Speaker 2: How dumb does that sound? 372 00:19:34,200 --> 00:19:37,359 Speaker 4: And they're going to teach eighth graders financial literacy in theory. 373 00:19:37,400 --> 00:19:39,119 Speaker 4: That sounds great, But you're probably not even going to 374 00:19:39,119 --> 00:19:41,239 Speaker 4: teach them how to pay their taxes and there are 375 00:19:41,359 --> 00:19:43,560 Speaker 4: a few years off from even having to learn that skill. 376 00:19:43,600 --> 00:19:45,040 Speaker 4: They're not going to be paying their taxes on their 377 00:19:45,080 --> 00:19:47,920 Speaker 4: own for a little while, so it all seems. 378 00:19:47,720 --> 00:19:48,720 Speaker 2: Very stupid and dumb. 379 00:19:49,240 --> 00:19:53,360 Speaker 4: But these people look you with a straight face and say, oh, well, 380 00:19:53,400 --> 00:19:55,560 Speaker 4: it's so good that they're going to learn their whole 381 00:19:55,560 --> 00:19:57,159 Speaker 4: curriculum in two and a half hours, or they're going 382 00:19:57,200 --> 00:19:58,919 Speaker 4: to have the rest of the time to do whatever 383 00:19:59,000 --> 00:20:01,720 Speaker 4: the hell they want. Well, I went to school, and 384 00:20:01,800 --> 00:20:04,719 Speaker 4: I graduated from high school, I graduated from college, and 385 00:20:04,800 --> 00:20:07,360 Speaker 4: I built some of the best relationships with my teachers, 386 00:20:07,400 --> 00:20:09,760 Speaker 4: even though some of those teachers hated me. But it 387 00:20:09,920 --> 00:20:12,440 Speaker 4: taught me something. It taught me social skills. It taught 388 00:20:12,520 --> 00:20:14,879 Speaker 4: me how to operate in the real world, how to 389 00:20:14,960 --> 00:20:17,240 Speaker 4: kiss up, how to get mad, how to pick and 390 00:20:17,320 --> 00:20:18,680 Speaker 4: choose which battles to fight. 391 00:20:19,240 --> 00:20:19,840 Speaker 2: And it was. 392 00:20:19,800 --> 00:20:22,520 Speaker 4: Probably the most important thing that I could have done, 393 00:20:22,600 --> 00:20:25,600 Speaker 4: was having the human interaction and having mentors that actually 394 00:20:25,680 --> 00:20:28,320 Speaker 4: had my back, that went the extra mile to make 395 00:20:28,320 --> 00:20:30,359 Speaker 4: sure that I got my homework done, that I got 396 00:20:30,400 --> 00:20:31,200 Speaker 4: my grades in. 397 00:20:31,240 --> 00:20:33,080 Speaker 2: Order so that I could play football, that I could 398 00:20:33,080 --> 00:20:34,240 Speaker 2: play sports. 399 00:20:34,000 --> 00:20:35,760 Speaker 4: That it could be on the student council, which I 400 00:20:35,800 --> 00:20:37,080 Speaker 4: was student council vice president. 401 00:20:37,119 --> 00:20:38,639 Speaker 2: But you know, we don't want to get into them. 402 00:20:39,000 --> 00:20:41,720 Speaker 4: My point is we need human interaction. We live in 403 00:20:41,720 --> 00:20:44,560 Speaker 4: a human world. If you want to raise children to 404 00:20:44,600 --> 00:20:47,840 Speaker 4: be taught by AI, they're going to try to start 405 00:20:47,920 --> 00:20:50,160 Speaker 4: dating AI. They're going to start having sex with AI. 406 00:20:50,240 --> 00:20:53,560 Speaker 4: They're going to use AI for every single thing in 407 00:20:53,600 --> 00:20:57,600 Speaker 4: their life, when in reality, that is demonic. We need 408 00:20:57,600 --> 00:21:00,959 Speaker 4: to have human interaction. We need teachers in the classroom. 409 00:21:01,000 --> 00:21:04,040 Speaker 4: And I know right now our children are not learning 410 00:21:04,160 --> 00:21:08,320 Speaker 4: at the proficient level because we have statistics saying that 411 00:21:08,359 --> 00:21:10,720 Speaker 4: seven out of ten kids in the Chicago public school 412 00:21:10,720 --> 00:21:11,960 Speaker 4: system can't even read at. 413 00:21:11,840 --> 00:21:12,639 Speaker 2: The grade that they're in. 414 00:21:15,080 --> 00:21:18,479 Speaker 4: Things are bad, but I imagine that they're only going to 415 00:21:18,520 --> 00:21:23,360 Speaker 4: get worse if we outsource their education to artificial intelligence. 416 00:21:23,720 --> 00:21:28,720 Speaker 4: It's going to make them artificially dumber. And really, it 417 00:21:28,800 --> 00:21:31,600 Speaker 4: was so fun to go to class and talk to 418 00:21:31,680 --> 00:21:35,119 Speaker 4: the teacher and pass notes and meet other kids, you know, 419 00:21:35,240 --> 00:21:37,600 Speaker 4: maybe talk to some other girls. But if you've got 420 00:21:37,600 --> 00:21:39,800 Speaker 4: a kid staying at a computer for two and a 421 00:21:39,840 --> 00:21:42,199 Speaker 4: half hours, sitting in a cubicle, how are you going 422 00:21:42,280 --> 00:21:44,400 Speaker 4: to make those connections? And sure you're going to say, oh, well, 423 00:21:44,400 --> 00:21:46,080 Speaker 4: the rest of the day they can just hang out 424 00:21:46,119 --> 00:21:48,920 Speaker 4: and talk to the other students. To me, these kids 425 00:21:48,960 --> 00:21:51,600 Speaker 4: are going to want to just be addicted to their smartphone. 426 00:21:51,600 --> 00:21:53,600 Speaker 4: They're going to be addicted to their tablet, and they're 427 00:21:53,600 --> 00:21:55,439 Speaker 4: not going to have the skills to talk to the 428 00:21:55,480 --> 00:21:59,880 Speaker 4: other students, because they're not learning in a collaborative whatever. 429 00:22:00,040 --> 00:22:02,400 Speaker 4: They're not collaborating with the other students. Okay, we got 430 00:22:02,440 --> 00:22:06,720 Speaker 4: to collaborate to penetrate, to dominate, to be a better society, 431 00:22:06,960 --> 00:22:09,280 Speaker 4: to learn how to go work in a company, to 432 00:22:09,359 --> 00:22:13,240 Speaker 4: go learn team building skills. You don't learn that by 433 00:22:13,240 --> 00:22:16,159 Speaker 4: sitting in front of a computer talking to your grock 434 00:22:16,320 --> 00:22:20,240 Speaker 4: or your artificial intelligence, because that is not how the 435 00:22:20,320 --> 00:22:23,719 Speaker 4: real world works. But they're trying to create a new world, 436 00:22:23,960 --> 00:22:26,639 Speaker 4: a world where everybody's plugged into a metaverse so that 437 00:22:26,720 --> 00:22:33,119 Speaker 4: they can disconnect from reality and live a fantasyland lifestyle. 438 00:22:33,320 --> 00:22:37,280 Speaker 4: It's ridiculous, it's scary, But this same representative says the 439 00:22:37,320 --> 00:22:40,720 Speaker 4: screen time is going to be productive and good for them. 440 00:22:40,880 --> 00:22:41,479 Speaker 2: Let's play it. 441 00:22:42,560 --> 00:22:45,119 Speaker 10: Screen time is another one. I myself was a screen 442 00:22:45,200 --> 00:22:48,640 Speaker 10: time free family. But there is a huge difference between 443 00:22:48,840 --> 00:22:51,639 Speaker 10: doom scrolling TikTok all day or playing video games and 444 00:22:51,680 --> 00:22:55,280 Speaker 10: getting a one to one personalized learning experience that meets 445 00:22:55,320 --> 00:22:57,960 Speaker 10: kids exactly where they're at. So I believe this type 446 00:22:58,000 --> 00:23:02,360 Speaker 10: of screen time is actually incredible, valuable, and at our schools, 447 00:23:02,400 --> 00:23:04,919 Speaker 10: our kids are actually spending less time on screens than 448 00:23:04,960 --> 00:23:08,080 Speaker 10: the average student in a traditional school is nowadays. The 449 00:23:08,160 --> 00:23:10,800 Speaker 10: difference is that this screen time is smart screen time. 450 00:23:14,800 --> 00:23:16,760 Speaker 2: All screen time is dumb. 451 00:23:17,240 --> 00:23:19,680 Speaker 4: But she did say something, These kids are doom scrolling 452 00:23:19,720 --> 00:23:22,680 Speaker 4: on TikTok. I would argue that being a social media 453 00:23:22,760 --> 00:23:28,800 Speaker 4: influencer is more important than being some AI taught brainless child. 454 00:23:29,400 --> 00:23:33,040 Speaker 4: And we're losing our jobs to illegal immigrants. So it's 455 00:23:33,119 --> 00:23:35,400 Speaker 4: actually a good skill. If a kid can go out 456 00:23:35,400 --> 00:23:38,400 Speaker 4: there and get a following by making and editing videos 457 00:23:38,440 --> 00:23:42,320 Speaker 4: and being creative, I think that is much more admirable 458 00:23:42,760 --> 00:23:46,199 Speaker 4: than being addicted to your smartphone or your tablet and 459 00:23:46,320 --> 00:23:49,359 Speaker 4: learning math and basically being able to cheat by copy 460 00:23:49,400 --> 00:23:52,240 Speaker 4: and pasting the problems into some other artificial intelligence to 461 00:23:52,280 --> 00:23:56,560 Speaker 4: answer that artificial intelligence. So the world is dark, it's demented, 462 00:23:56,840 --> 00:23:59,960 Speaker 4: and I feel sorry for the future because if AI 463 00:24:00,680 --> 00:24:03,560 Speaker 4: is the answer to all of our problems, then we're 464 00:24:03,560 --> 00:24:06,880 Speaker 4: only going to create more problems. All right, guys, Coming 465 00:24:07,000 --> 00:24:09,720 Speaker 4: up next, we're going to talk about this huge lawsuit 466 00:24:09,800 --> 00:24:13,000 Speaker 4: with Meta YouTube. It looks like they're in trouble because 467 00:24:13,040 --> 00:24:17,360 Speaker 4: everybody's addicted to the social media platforms. And guess what guilty? 468 00:24:17,520 --> 00:24:19,680 Speaker 4: So am I? You don't want to miss it. That's 469 00:24:19,680 --> 00:24:20,639 Speaker 4: coming up next. 470 00:24:35,520 --> 00:24:40,159 Speaker 1: Welcome back to after Hours, Unreal America's. 471 00:24:39,480 --> 00:24:42,320 Speaker 3: Boys, Good. 472 00:24:45,160 --> 00:24:47,919 Speaker 4: Guys, Welcome to after Ours with Alex Stein right here 473 00:24:47,960 --> 00:24:50,639 Speaker 4: in Real America's voice. Now we got to talk about 474 00:24:50,680 --> 00:24:51,359 Speaker 4: the obvious. 475 00:24:51,560 --> 00:24:52,840 Speaker 2: Meta and YouTube. 476 00:24:53,320 --> 00:24:58,639 Speaker 4: We're found guilty for their social media platforms because they're addictive. 477 00:24:58,920 --> 00:25:01,760 Speaker 4: They are I'll be honest, I'm addicted to my smartphone. 478 00:25:01,800 --> 00:25:04,880 Speaker 4: I'm addicted to these platforms because they're fun, they're cool. 479 00:25:05,000 --> 00:25:07,760 Speaker 4: I actually learn a lot from YouTube, but we don't 480 00:25:07,800 --> 00:25:10,359 Speaker 4: have to get into that. But this lawsuit, to me, 481 00:25:10,560 --> 00:25:14,159 Speaker 4: is not getting enough public attention because these companies like 482 00:25:14,280 --> 00:25:18,840 Speaker 4: Meta and YouTube really dominate the public square. They get 483 00:25:18,880 --> 00:25:21,720 Speaker 4: to pick and choose whether or not you get the 484 00:25:21,800 --> 00:25:24,280 Speaker 4: platform or not. And during the pandemic, we learned that 485 00:25:24,320 --> 00:25:26,760 Speaker 4: if you spoke against a lot of the COVID protocols, 486 00:25:27,000 --> 00:25:30,719 Speaker 4: they could just take your channel away instantly, and they 487 00:25:30,760 --> 00:25:34,160 Speaker 4: could take away your right to speak freely because they 488 00:25:34,200 --> 00:25:36,280 Speaker 4: do not have the First Amendment when it comes to 489 00:25:36,320 --> 00:25:39,320 Speaker 4: these tech companies, they don't care about freedom of speech. 490 00:25:39,840 --> 00:25:42,480 Speaker 4: So this lawsuit is a big deal, and I am 491 00:25:42,600 --> 00:25:46,040 Speaker 4: happy that they're being held accountable, but really, the responsibility 492 00:25:46,119 --> 00:25:48,840 Speaker 4: is on us to not be addicted to these platforms, 493 00:25:49,400 --> 00:25:52,480 Speaker 4: even though these platforms are very addicting. So let's play 494 00:25:52,480 --> 00:25:56,439 Speaker 4: this clip about the recent ruling of YouTube and Meta 495 00:25:56,480 --> 00:25:58,440 Speaker 4: being found guilty for being addictive. 496 00:26:00,200 --> 00:26:03,720 Speaker 11: Google, the parent company of YouTube, were found liable for 497 00:26:03,800 --> 00:26:06,920 Speaker 11: harming a woman's mental health due to addictive design features, 498 00:26:07,160 --> 00:26:10,800 Speaker 11: a California jury found in a landmarked decision on Wednesday, 499 00:26:11,240 --> 00:26:14,120 Speaker 11: just one day after a jury in New Mexico ordered 500 00:26:14,119 --> 00:26:17,000 Speaker 11: the Facebook parent company to pay three hundred and seventy 501 00:26:17,040 --> 00:26:21,320 Speaker 11: five million dollars for enabling child exploitation and misleading the 502 00:26:21,440 --> 00:26:25,000 Speaker 11: users about safety features. Meta and Google are liable to 503 00:26:25,040 --> 00:26:27,960 Speaker 11: pay three million dollars in damages to the plaintiff, only 504 00:26:28,040 --> 00:26:31,400 Speaker 11: identified as a twenty year old woman named KGM, who 505 00:26:31,440 --> 00:26:34,200 Speaker 11: said she became addicted to the two companies' apps due 506 00:26:34,200 --> 00:26:38,879 Speaker 11: to addictive features. Meta, which owns Facebook and Instagram, was 507 00:26:39,000 --> 00:26:41,800 Speaker 11: ordered to pay out seventy percent of the damages, while 508 00:26:41,840 --> 00:26:44,359 Speaker 11: YouTube was ordered to pay the remaining thirty percent. The 509 00:26:44,400 --> 00:26:48,200 Speaker 11: Wall Street Journal reported the lawsuit also named a TikTok 510 00:26:48,240 --> 00:26:51,720 Speaker 11: and snapped the parent company of Snapchat as defendants, but 511 00:26:52,000 --> 00:26:56,520 Speaker 11: both companies settled out of court for undisclosed sums. Meta 512 00:26:56,560 --> 00:27:00,879 Speaker 11: founder Mark Zuckerberg and Instagram chief Adam Moseri both testified 513 00:27:00,880 --> 00:27:04,200 Speaker 11: at the trial, where Zuckerberg insisted the company was quote 514 00:27:04,359 --> 00:27:06,360 Speaker 11: building this thing to be a good thing that has 515 00:27:06,480 --> 00:27:10,760 Speaker 11: value in people's lives. Courthouse News reported in February. In 516 00:27:10,760 --> 00:27:14,359 Speaker 11: a statement to Forbes, a Meta spokesperson said, quote, we 517 00:27:14,480 --> 00:27:18,560 Speaker 11: respectfully disagree with the verdict and are evaluating our legal options. 518 00:27:19,040 --> 00:27:23,320 Speaker 11: In a separate statement, Google spokesperson jose Castanierta said the 519 00:27:23,359 --> 00:27:27,200 Speaker 11: company disagrees with the verdict and plans to appeal, adding quote, 520 00:27:27,440 --> 00:27:32,119 Speaker 11: this case misunderstands YouTube, which is a responsibly built streaming platform, 521 00:27:32,400 --> 00:27:33,960 Speaker 11: not a social media site. 522 00:27:37,680 --> 00:27:40,200 Speaker 4: Now I'm incredibly jealous of this twenty year old that 523 00:27:40,320 --> 00:27:42,760 Speaker 4: got this three million dollar settlement or this three million 524 00:27:42,800 --> 00:27:46,560 Speaker 4: dollar judgment, because I'm also addicted to these social media platforms. 525 00:27:46,600 --> 00:27:49,200 Speaker 4: But the reason that I'm addicted to them is not 526 00:27:49,400 --> 00:27:52,159 Speaker 4: just because they use techniques that keep us scrolling and 527 00:27:52,240 --> 00:27:57,120 Speaker 4: keep our attention constantly on them. I'm mad because I mean, 528 00:27:57,640 --> 00:28:00,920 Speaker 4: I need some money. I mean, it's really on their faults. 529 00:28:00,920 --> 00:28:03,439 Speaker 4: It's really my fault because I could put my phone down, 530 00:28:03,840 --> 00:28:06,200 Speaker 4: but I'm addicted to the content. Now when you sign 531 00:28:06,280 --> 00:28:09,040 Speaker 4: the terms of service for all of these social media companies, 532 00:28:09,240 --> 00:28:12,400 Speaker 4: we actually give them the authority to look at our 533 00:28:12,440 --> 00:28:13,399 Speaker 4: personal data. 534 00:28:13,880 --> 00:28:15,320 Speaker 2: They can look at our pictures. 535 00:28:15,400 --> 00:28:17,720 Speaker 4: They basically have a backdoor to all of our information. 536 00:28:18,280 --> 00:28:21,399 Speaker 4: And it gets so dark that on Facebook the terms 537 00:28:21,400 --> 00:28:24,560 Speaker 4: of service, they can actually look at your front camera. 538 00:28:25,080 --> 00:28:28,680 Speaker 4: And what they will do is it will you don't 539 00:28:28,720 --> 00:28:31,440 Speaker 4: even know this is happening. The camera will be focused 540 00:28:31,440 --> 00:28:34,520 Speaker 4: on your pupils and it will see how your pupils 541 00:28:34,680 --> 00:28:38,760 Speaker 4: dilate and can you know what is it constrict? 542 00:28:38,880 --> 00:28:42,080 Speaker 2: Excuse me? It'll watch how your pupils dilate. 543 00:28:41,840 --> 00:28:45,760 Speaker 4: And constrict when you're looking at certain content content, because 544 00:28:45,760 --> 00:28:48,320 Speaker 4: it can tell whether you're happy or sad, and it 545 00:28:48,360 --> 00:28:51,280 Speaker 4: will feed you more of that content in your algorithm. 546 00:28:51,760 --> 00:28:54,680 Speaker 4: We know these social media companies are shaping an algorithm 547 00:28:54,720 --> 00:28:57,080 Speaker 4: that make you more addicted to it. But I keep 548 00:28:57,120 --> 00:28:59,800 Speaker 4: saying this, and you know the fact that it's our fault. 549 00:29:00,000 --> 00:29:00,520 Speaker 2: It is our fault. 550 00:29:00,520 --> 00:29:02,600 Speaker 4: They're still addicted to it, So I don't know how 551 00:29:02,640 --> 00:29:04,320 Speaker 4: much responsibility they bear. 552 00:29:04,880 --> 00:29:06,480 Speaker 2: The judge ruled. 553 00:29:06,280 --> 00:29:10,760 Speaker 4: In this plaintive's favor, but they are using subversive techniques 554 00:29:10,760 --> 00:29:13,760 Speaker 4: to make us more addicted. They can watch how we 555 00:29:13,840 --> 00:29:17,160 Speaker 4: react subversively because we sign the terms of service, and 556 00:29:17,200 --> 00:29:20,800 Speaker 4: they know what gets our adrenaline going, they know what 557 00:29:20,920 --> 00:29:24,360 Speaker 4: brings our cortisol levels up, they know what brings us joy, 558 00:29:24,720 --> 00:29:28,080 Speaker 4: and they constantly feed you that and drip feeds you 559 00:29:28,120 --> 00:29:30,280 Speaker 4: that over and over and over again, so that you 560 00:29:30,360 --> 00:29:33,400 Speaker 4: do not go to other platforms. I will admit this 561 00:29:33,440 --> 00:29:37,360 Speaker 4: is incredibly sinister, but we allow it. We give them 562 00:29:37,520 --> 00:29:42,840 Speaker 4: control of our psyche. And we have a culture that 563 00:29:42,920 --> 00:29:46,960 Speaker 4: is not just addicted to vaping, drugs, alcohol, sex. We're 564 00:29:47,000 --> 00:29:50,560 Speaker 4: also addicted to social media. And if you look at 565 00:29:50,600 --> 00:29:53,280 Speaker 4: these companies, these are for profit companies, some of the 566 00:29:53,280 --> 00:29:54,560 Speaker 4: biggest companies in the world. 567 00:29:54,680 --> 00:29:56,040 Speaker 2: Of course they're going to use. 568 00:29:55,960 --> 00:30:01,280 Speaker 4: Every single strategy possible to keep you on their platform. 569 00:30:01,640 --> 00:30:04,640 Speaker 4: Is it dark, Is it demented? Sure it is, But 570 00:30:04,680 --> 00:30:07,520 Speaker 4: that's just a reality of the situation. So it's our 571 00:30:07,560 --> 00:30:10,800 Speaker 4: responsibility to not fall into the trap that they set 572 00:30:11,040 --> 00:30:13,760 Speaker 4: because we do have free will. So if you are 573 00:30:13,760 --> 00:30:17,200 Speaker 4: addicted like I am, to social media, I encourage you. 574 00:30:17,280 --> 00:30:17,600 Speaker 2: Guys. 575 00:30:18,280 --> 00:30:21,360 Speaker 4: Don't put the blame on somebody else. Don't be a victim. 576 00:30:21,400 --> 00:30:24,880 Speaker 4: That's what the libtard left does. I'm a pimp on 577 00:30:24,960 --> 00:30:26,760 Speaker 4: a blimp. If I want to turn it off, I'm 578 00:30:26,760 --> 00:30:29,560 Speaker 4: just going to start turning it off. Now, this lawsuit 579 00:30:29,640 --> 00:30:33,640 Speaker 4: set a huge precedent, and there's a cybersecurity director talking 580 00:30:33,680 --> 00:30:36,960 Speaker 4: about how this really is laying the groundwork for future lawsuits. 581 00:30:37,040 --> 00:30:37,520 Speaker 2: Let's play it. 582 00:30:39,360 --> 00:30:42,520 Speaker 12: I think it's been a long time coming, because it's 583 00:30:42,560 --> 00:30:44,760 Speaker 12: not as though any of the facts that came out 584 00:30:44,800 --> 00:30:48,080 Speaker 12: at a trial were particularly surprising to the general public. 585 00:30:48,560 --> 00:30:49,840 Speaker 2: We've known for. 586 00:30:49,960 --> 00:30:53,400 Speaker 12: At least a decade now with tell All books for 587 00:30:53,400 --> 00:30:56,800 Speaker 12: former Google and Meta employees who come out and say, hey, 588 00:30:57,200 --> 00:31:00,640 Speaker 12: we're using casino style techniques in our algorithm to try 589 00:31:00,640 --> 00:31:02,800 Speaker 12: and keep children on our screen so that we can 590 00:31:02,840 --> 00:31:06,200 Speaker 12: sell more products. So it's not a particular surprise, long 591 00:31:06,200 --> 00:31:10,480 Speaker 12: time coming, much like the tobacco litigation. So I think 592 00:31:10,560 --> 00:31:12,680 Speaker 12: the jury's verdict will ultimately be upheld. 593 00:31:16,400 --> 00:31:18,800 Speaker 4: Now, this is a big deal, but this is basically 594 00:31:18,880 --> 00:31:22,200 Speaker 4: something that I already knew. It's really not very surprising 595 00:31:22,240 --> 00:31:24,080 Speaker 4: to me, and it shouldn't be surprising to you. 596 00:31:24,720 --> 00:31:26,280 Speaker 2: This is the world in which we live in. 597 00:31:26,720 --> 00:31:29,320 Speaker 4: Now we have another clip of a lawyer in the 598 00:31:29,360 --> 00:31:32,920 Speaker 4: Meta in Google case detailing how they prove their claims 599 00:31:32,960 --> 00:31:36,840 Speaker 4: and when it came to the allegations that they were 600 00:31:36,840 --> 00:31:38,960 Speaker 4: causing people to be addicted on purpose. 601 00:31:39,960 --> 00:31:43,000 Speaker 13: Well, their own documents, which they had been hiding from 602 00:31:43,040 --> 00:31:46,960 Speaker 13: the public for decades, gave no question that they knew 603 00:31:47,000 --> 00:31:49,880 Speaker 13: their platform was addictive, and they designed it to be addictive. 604 00:31:50,280 --> 00:31:53,800 Speaker 13: They know that adolescent brains are not as well developed 605 00:31:54,000 --> 00:31:59,000 Speaker 13: as adults. They know that adolescents crave social acceptance in adelation, 606 00:31:59,480 --> 00:32:04,240 Speaker 13: and specif used psychological manipulation to design their products, and 607 00:32:04,280 --> 00:32:07,360 Speaker 13: their own documents said that, and that I think was 608 00:32:07,400 --> 00:32:11,640 Speaker 13: really the significance of this trial, beyond this incredible of 609 00:32:11,680 --> 00:32:16,160 Speaker 13: indication for KGM, is that now the public knows for 610 00:32:16,240 --> 00:32:20,360 Speaker 13: the first time what these companies know and deliberately do 611 00:32:20,800 --> 00:32:22,120 Speaker 13: to addict and harm our kid. 612 00:32:25,720 --> 00:32:29,360 Speaker 4: Now, this is something that we already knew, but these 613 00:32:29,480 --> 00:32:33,560 Speaker 4: kids are under attack. And like this previous segment that 614 00:32:33,600 --> 00:32:37,480 Speaker 4: we played, how these schools are turning their curriculum over 615 00:32:37,640 --> 00:32:42,160 Speaker 4: to artificial intelligence instead of human teachers, this should be 616 00:32:42,720 --> 00:32:45,440 Speaker 4: something that we all stand up against. If you have 617 00:32:45,520 --> 00:32:48,160 Speaker 4: a young kid, you should keep them off social media 618 00:32:48,440 --> 00:32:52,240 Speaker 4: as long as possible, because these children are being targeted 619 00:32:52,680 --> 00:32:56,920 Speaker 4: by these for profit corporations, these multinational corporations that don't 620 00:32:56,960 --> 00:32:59,960 Speaker 4: just operate in America, but operate all over the world, 621 00:33:00,560 --> 00:33:03,720 Speaker 4: and the goal for them is to control our mind, 622 00:33:03,960 --> 00:33:07,200 Speaker 4: to brainwash us. And that's why we are having such 623 00:33:07,200 --> 00:33:10,440 Speaker 4: a huge problem with crazy libtards that think that they 624 00:33:10,440 --> 00:33:12,880 Speaker 4: can change their gender and that one day you can 625 00:33:12,920 --> 00:33:14,800 Speaker 4: be a furry and go poop in a litter box 626 00:33:14,880 --> 00:33:18,680 Speaker 4: in the classroom, because they're being groomed by the algorithm, 627 00:33:19,560 --> 00:33:22,880 Speaker 4: and it's being done on purpose. None of this is 628 00:33:22,920 --> 00:33:26,840 Speaker 4: done on accident. These are smart people that are using 629 00:33:26,880 --> 00:33:32,360 Speaker 4: this technology to ruin young people's futures. And I believe 630 00:33:32,400 --> 00:33:34,480 Speaker 4: that the future is going to be very bleak because 631 00:33:34,520 --> 00:33:37,320 Speaker 4: people are not going to stop using YouTube and Facebook 632 00:33:37,440 --> 00:33:38,480 Speaker 4: and snapchat. 633 00:33:38,920 --> 00:33:40,400 Speaker 2: They're just going to start using it more. 634 00:33:40,920 --> 00:33:43,360 Speaker 4: And I'm sure there's going to be another social media 635 00:33:43,440 --> 00:33:48,200 Speaker 4: platform like TikTok, like Twitter that grooms children into being 636 00:33:48,360 --> 00:33:52,960 Speaker 4: basically retarded. Now, even though this was an attack on children, 637 00:33:53,360 --> 00:33:56,920 Speaker 4: these social media algorithms are also an attack on adults. 638 00:33:57,000 --> 00:34:00,240 Speaker 4: We fall into the same traps that children do. We're 639 00:34:00,280 --> 00:34:03,120 Speaker 4: really not that much different when it comes to social media. 640 00:34:03,560 --> 00:34:05,760 Speaker 4: We get happy from the same sort of content, we 641 00:34:05,840 --> 00:34:08,279 Speaker 4: get sad from the same sort of content. So they 642 00:34:08,280 --> 00:34:12,680 Speaker 4: are able to manipulate us into constantly looking at our 643 00:34:12,840 --> 00:34:15,719 Speaker 4: feed so that we can get our next dopamine hit. 644 00:34:16,800 --> 00:34:19,319 Speaker 4: It is like a drug. Is it a drug as 645 00:34:19,320 --> 00:34:22,759 Speaker 4: bad as methamphetamine? Well, Clavicular would tell you the methapetamine 646 00:34:22,800 --> 00:34:24,319 Speaker 4: is good for you, and I'd probably agree with them. 647 00:34:24,320 --> 00:34:28,280 Speaker 4: But that's another topic for another day. What is important 648 00:34:28,640 --> 00:34:32,880 Speaker 4: is that we are aware that now Google and Meta 649 00:34:32,880 --> 00:34:35,560 Speaker 4: have been found guilty in a court of law of 650 00:34:35,800 --> 00:34:40,080 Speaker 4: using techniques in order to make you, me and our 651 00:34:40,200 --> 00:34:45,520 Speaker 4: children addicted to social media. And it's working. It's dominating. 652 00:34:46,239 --> 00:34:49,040 Speaker 4: They can look at you through the front facing camera 653 00:34:49,800 --> 00:34:53,240 Speaker 4: and totally tell how the content is making you feel 654 00:34:53,480 --> 00:34:56,880 Speaker 4: and guess what they're purposely giving you content to not 655 00:34:56,960 --> 00:35:00,600 Speaker 4: make you feel good. It's called trauma based mind control. 656 00:35:01,120 --> 00:35:05,880 Speaker 4: They constantly use fear and the idea of being scared 657 00:35:06,520 --> 00:35:09,120 Speaker 4: in order to control you, because when you are scared, 658 00:35:09,719 --> 00:35:13,480 Speaker 4: you're much easier to control, and you will stay on 659 00:35:13,560 --> 00:35:17,279 Speaker 4: the platform because you want to see the next thing that. 660 00:35:17,200 --> 00:35:18,080 Speaker 2: You should be scared of. 661 00:35:19,880 --> 00:35:22,520 Speaker 4: Future's dark. We've got to bring some light into it. 662 00:35:22,880 --> 00:35:25,160 Speaker 4: We need to find Jesus, we need to find God. 663 00:35:25,560 --> 00:35:29,040 Speaker 4: We need to do something because these social media companies 664 00:35:29,120 --> 00:35:31,439 Speaker 4: don't care about you and me, and they certainly don't 665 00:35:31,440 --> 00:35:35,279 Speaker 4: care about your children. So don't be brainwashed, be cognizant 666 00:35:35,360 --> 00:35:39,080 Speaker 4: of what's really happening, and don't be afraid to tell 667 00:35:39,080 --> 00:35:41,040 Speaker 4: other people, Hey, maybe we shouldn't be talking on the 668 00:35:41,080 --> 00:35:43,920 Speaker 4: social media platform. Maybe you can call me or text me, 669 00:35:44,360 --> 00:35:46,600 Speaker 4: or we can meet in person, because that's the future 670 00:35:46,600 --> 00:35:48,439 Speaker 4: that we should live in, one where we talk face 671 00:35:48,480 --> 00:35:51,560 Speaker 4: to face and we're not being taught by artificial intelligence 672 00:35:51,920 --> 00:35:55,040 Speaker 4: or the algorithm that is trained to make you feel 673 00:35:55,040 --> 00:35:58,400 Speaker 4: like crap. All right, guys, coming up back to the 674 00:35:58,400 --> 00:36:00,520 Speaker 4: Break Your Boy Primetime nine and nine. And went to 675 00:36:00,600 --> 00:36:03,560 Speaker 4: a furry festival here in Texas and I got kicked 676 00:36:03,600 --> 00:36:06,320 Speaker 4: out for calling out these weirdos. 677 00:36:06,400 --> 00:36:07,879 Speaker 2: Well some of them. They weren't all weird. 678 00:36:07,880 --> 00:36:09,919 Speaker 4: They're definitely weird, but some of them were nice. Well, 679 00:36:10,040 --> 00:36:30,120 Speaker 4: we'll get into it after the break. Welcome back to 680 00:36:30,200 --> 00:36:34,520 Speaker 4: After Hours with Alex Stein. We got a great episode tonight. 681 00:36:34,719 --> 00:36:37,680 Speaker 4: I mean, it's been so it's been a really learning 682 00:36:37,960 --> 00:36:39,040 Speaker 4: process for everybody. 683 00:36:39,080 --> 00:36:39,799 Speaker 2: I've learned a lot. 684 00:36:39,840 --> 00:36:43,560 Speaker 4: We've learned that the social media algorithm is brainwashing us. 685 00:36:43,600 --> 00:36:45,800 Speaker 4: But if you look at the future of our country, 686 00:36:45,880 --> 00:36:49,520 Speaker 4: it is pretty shocking because of everybody's so dumb and 687 00:36:49,600 --> 00:36:50,720 Speaker 4: also very weird. 688 00:36:51,400 --> 00:36:53,280 Speaker 2: And I have a perfect example. 689 00:36:52,880 --> 00:36:56,239 Speaker 4: Of that because this weekend I went to the Texas 690 00:36:56,320 --> 00:37:01,600 Speaker 4: Furry Fiesta, which is the biggest American gathering of furries 691 00:37:01,640 --> 00:37:04,320 Speaker 4: in the United States. And I wish I was kidding, 692 00:37:04,320 --> 00:37:06,120 Speaker 4: but I'm not. And these are people that like to 693 00:37:06,239 --> 00:37:10,359 Speaker 4: wear their first sona and hang out and oftentimes after 694 00:37:10,400 --> 00:37:12,520 Speaker 4: the event they go and do group sex and all 695 00:37:12,600 --> 00:37:15,200 Speaker 4: kinds of weird things allegedly. But I went out there 696 00:37:15,520 --> 00:37:18,000 Speaker 4: to basically kind of protest them, to troll them, to 697 00:37:18,080 --> 00:37:20,319 Speaker 4: call them out for being such weirdos. And I know 698 00:37:20,360 --> 00:37:22,120 Speaker 4: that we have a lot of fans that are furries, 699 00:37:22,600 --> 00:37:26,279 Speaker 4: but I just think it's a very weird culture that 700 00:37:26,360 --> 00:37:29,000 Speaker 4: I don't understand, and I think that it should be 701 00:37:29,040 --> 00:37:30,560 Speaker 4: mocked and made fun of. And that doesn't mean you 702 00:37:30,600 --> 00:37:33,800 Speaker 4: shouldn't be able to wear your first out, but you should. 703 00:37:33,560 --> 00:37:35,319 Speaker 2: Have to deal with the pimp on a blunt making 704 00:37:35,320 --> 00:37:35,719 Speaker 2: fun of you. 705 00:37:35,840 --> 00:37:38,080 Speaker 4: Now, let's play the clip from the Texas Furry Fiesta 706 00:37:38,120 --> 00:37:39,480 Speaker 4: in Dallas, Texas. 707 00:37:39,480 --> 00:37:42,680 Speaker 2: Oh you furries got to go. This is the weirdest 708 00:37:42,680 --> 00:37:43,560 Speaker 2: thing I've ever been. 709 00:37:43,440 --> 00:37:45,800 Speaker 3: To in my life. What gs e. 710 00:37:46,400 --> 00:37:49,120 Speaker 4: Everybody in costumes like this. 711 00:37:49,120 --> 00:37:50,720 Speaker 2: This is kind of scary. Guys. 712 00:37:50,760 --> 00:37:54,080 Speaker 14: Don't shoot up a school please, you guys, who are 713 00:37:54,120 --> 00:37:54,920 Speaker 14: your dress like this? 714 00:37:55,120 --> 00:37:58,560 Speaker 2: This is insane. Look at all these people dress like this? 715 00:37:58,719 --> 00:38:00,239 Speaker 2: What what is this out? 716 00:38:00,360 --> 00:38:03,920 Speaker 3: Man? We do do we We're just hanging out. 717 00:38:04,200 --> 00:38:06,840 Speaker 14: It's all right, okay, it's a better be probably, but 718 00:38:07,080 --> 00:38:08,040 Speaker 14: there's no kids here. 719 00:38:08,440 --> 00:38:09,000 Speaker 2: Look at this. 720 00:38:09,040 --> 00:38:14,840 Speaker 14: Hey, hey, ho ho, all your furries need to go. 721 00:38:16,640 --> 00:38:21,239 Speaker 14: Ho All you furries got to go, hey, hey, ho. 722 00:38:20,960 --> 00:38:25,120 Speaker 15: Ho, All you furries got to go, hey, hey, ho. 723 00:38:25,320 --> 00:38:30,080 Speaker 14: Ho, All you furries got to go, hey, hey, ho ho, 724 00:38:30,760 --> 00:38:36,080 Speaker 14: All you furries got to go. Yeah, you gotta go, Dude, 725 00:38:36,120 --> 00:38:39,320 Speaker 14: you gotta you gotta seek some help brother the school. 726 00:38:39,400 --> 00:38:40,200 Speaker 7: You guys are weird. 727 00:38:40,239 --> 00:38:47,320 Speaker 2: So I'm shooting up schools. Rime time, Alex. 728 00:38:47,080 --> 00:38:52,799 Speaker 15: Stein tag me please, hey, hey, ho ho, All you 729 00:38:53,000 --> 00:38:57,239 Speaker 15: furri's got to go, Hey, hey, ho ho, All you 730 00:38:57,400 --> 00:39:01,719 Speaker 15: surri's got to go, hey, hey, oh ho, All you 731 00:39:02,000 --> 00:39:05,799 Speaker 15: furries got to go. Hey hey oh that's a god. 732 00:39:06,160 --> 00:39:07,280 Speaker 2: You can tell by the hands. 733 00:39:07,600 --> 00:39:07,880 Speaker 3: Dude. 734 00:39:07,880 --> 00:39:11,879 Speaker 2: That is scary as hell. What dude, do you get 735 00:39:11,920 --> 00:39:16,560 Speaker 2: off on this? That is weird? That is scary as hell. 736 00:39:18,040 --> 00:39:19,400 Speaker 15: This is the future. Of America. 737 00:39:20,560 --> 00:39:21,640 Speaker 2: This is what it's all about. 738 00:39:21,719 --> 00:39:26,520 Speaker 15: How this guy, hey, hey, ho ho, all you fury's 739 00:39:26,560 --> 00:39:27,200 Speaker 15: got to go? 740 00:39:35,360 --> 00:39:38,640 Speaker 4: I mean that is weird. At least all the furries 741 00:39:38,680 --> 00:39:41,480 Speaker 4: were nice to me. Nobody really wanted to fight or 742 00:39:41,640 --> 00:39:44,640 Speaker 4: do anything that. I always creeked out by those furries 743 00:39:44,680 --> 00:39:48,239 Speaker 4: in their first soe nos. I was just like, I 744 00:39:48,280 --> 00:39:50,200 Speaker 4: didn't want to catch some sort of an aerial disease 745 00:39:50,200 --> 00:39:54,120 Speaker 4: from them, because this is some sort of sexual fantasy. 746 00:39:54,960 --> 00:39:57,160 Speaker 4: And I know there's a lot of young people there, 747 00:39:57,800 --> 00:40:00,640 Speaker 4: and there was obviously adults there, and to me, it 748 00:40:00,680 --> 00:40:04,840 Speaker 4: seems like they're grooming children into not liking the body 749 00:40:04,840 --> 00:40:07,840 Speaker 4: that they're born in. You hear a lot of conspiracies 750 00:40:07,920 --> 00:40:10,200 Speaker 4: that there's young students that are telling their teachers they're 751 00:40:10,200 --> 00:40:12,239 Speaker 4: born in the wrong body and that they identify as 752 00:40:12,239 --> 00:40:14,160 Speaker 4: a cat or dog and they want the teacher to 753 00:40:14,160 --> 00:40:17,560 Speaker 4: put a litter box in the classroom. So we're confusing 754 00:40:18,040 --> 00:40:22,640 Speaker 4: the future generations of America by normalizing this. Nothing about 755 00:40:22,760 --> 00:40:25,799 Speaker 4: a furry convention is normal. This is something that used 756 00:40:25,840 --> 00:40:28,239 Speaker 4: to be on the fringes of society, and now it's 757 00:40:28,280 --> 00:40:30,640 Speaker 4: happening in downtown Dallas at the Sheridan Hotel. 758 00:40:30,840 --> 00:40:31,600 Speaker 2: Which I will admit. 759 00:40:31,600 --> 00:40:34,000 Speaker 4: The security is very nice. They could have been much 760 00:40:34,040 --> 00:40:35,160 Speaker 4: more aggressive with me, but the. 761 00:40:35,120 --> 00:40:36,040 Speaker 2: Security was cool. 762 00:40:36,360 --> 00:40:39,400 Speaker 4: All the furries were pretty laid back, but that last 763 00:40:39,440 --> 00:40:41,840 Speaker 4: furry was definitely a guy you could tell by their hands, 764 00:40:42,120 --> 00:40:44,160 Speaker 4: dressed up in a female furry outfit. 765 00:40:45,160 --> 00:40:45,839 Speaker 2: And this is. 766 00:40:45,800 --> 00:40:49,520 Speaker 4: Weird because there are kids there and it seems like grooming. Now, 767 00:40:49,560 --> 00:40:52,759 Speaker 4: I want to play this next clip, and the context 768 00:40:52,800 --> 00:40:54,800 Speaker 4: about this next clip is this is me at a 769 00:40:54,920 --> 00:40:58,479 Speaker 4: drag queen's story time in Denton, Texas, and it has 770 00:40:58,560 --> 00:41:02,160 Speaker 4: the same vibrational energy. It's the same vibes where there 771 00:41:02,239 --> 00:41:07,799 Speaker 4: are men with big guns out protecting the drag queens inside, 772 00:41:08,640 --> 00:41:11,600 Speaker 4: so that me Primetime ninety nine can't shut down their 773 00:41:11,640 --> 00:41:14,000 Speaker 4: event because I don't think it's cool for men and 774 00:41:14,080 --> 00:41:16,360 Speaker 4: drag to read the children. And I would say that 775 00:41:16,440 --> 00:41:22,240 Speaker 4: the Furry Festival is very similar. It's men and animal 776 00:41:22,360 --> 00:41:24,880 Speaker 4: drag talking to little kids. 777 00:41:25,000 --> 00:41:26,480 Speaker 2: It has the same vibes. 778 00:41:26,600 --> 00:41:29,439 Speaker 4: So let's play this clip where I went and tried 779 00:41:29,440 --> 00:41:32,360 Speaker 4: to shut down a drag queen story time in Denton, Texas. 780 00:41:32,880 --> 00:41:35,040 Speaker 16: We see these guys, I'm trying to bump me every 781 00:41:35,080 --> 00:41:37,680 Speaker 16: time I walk by. 782 00:41:38,640 --> 00:41:39,839 Speaker 3: Dude, I'm walking. 783 00:41:39,480 --> 00:41:43,200 Speaker 2: Down I'm standing here, I'm sideways. I don't want. 784 00:41:45,200 --> 00:41:46,399 Speaker 12: All right, I need to leave. 785 00:41:47,160 --> 00:41:48,120 Speaker 1: I'm high laving guys. 786 00:41:48,160 --> 00:41:49,680 Speaker 2: You guys, you're trying to get in my way. 787 00:41:49,840 --> 00:41:51,040 Speaker 1: I'm here on a public street. 788 00:41:51,239 --> 00:41:52,080 Speaker 2: Get out of my way. 789 00:41:52,080 --> 00:41:54,440 Speaker 1: Oh my god, guys, I'm so scared of the antiva. 790 00:41:54,520 --> 00:41:55,960 Speaker 1: They brought their playing guns. 791 00:41:56,000 --> 00:41:57,320 Speaker 3: They're square guns. 792 00:41:57,640 --> 00:41:59,160 Speaker 1: Oh my god, your hearts. 793 00:41:58,840 --> 00:42:02,239 Speaker 2: And crash times. You could dis mess up your art. Tocrat, Tim, 794 00:42:02,239 --> 00:42:03,920 Speaker 2: you may think you'll be able to go home play with. 795 00:42:05,920 --> 00:42:07,239 Speaker 3: Look how scary they are. 796 00:42:07,239 --> 00:42:09,520 Speaker 1: Oh my god, this guy's so scared, so scared. 797 00:42:10,280 --> 00:42:12,680 Speaker 3: Got a big gun, the big back guy. 798 00:42:14,760 --> 00:42:17,560 Speaker 16: Oh my god, I'm so happy you're protecting these children 799 00:42:17,600 --> 00:42:19,719 Speaker 16: so they can go get indoctrinated. 800 00:42:19,239 --> 00:42:21,200 Speaker 2: And go in there for training their story time. You're 801 00:42:21,239 --> 00:42:22,040 Speaker 2: such a good American. 802 00:42:22,640 --> 00:42:26,720 Speaker 1: God bless this guy. 803 00:42:28,000 --> 00:42:29,880 Speaker 4: I mean, these people, these are the real cowards. 804 00:42:29,880 --> 00:42:32,920 Speaker 2: They're hiding behind their masks. They got their little guns. 805 00:42:32,920 --> 00:42:34,120 Speaker 2: They think they're so tough. 806 00:42:34,640 --> 00:42:37,040 Speaker 16: We're at a bookstore here and didn't tax it for 807 00:42:37,080 --> 00:42:40,600 Speaker 16: they're trying to do drag Queen's Story Hour. And of 808 00:42:40,600 --> 00:42:44,040 Speaker 16: course the typical people here with their masks on, not 809 00:42:44,280 --> 00:42:46,120 Speaker 16: able to ax a stand up for what they believe 810 00:42:46,120 --> 00:42:47,280 Speaker 16: in because they're all cowards. 811 00:42:51,560 --> 00:42:55,320 Speaker 4: Now you can see that they weren't wearing forst Sona outfits, 812 00:42:55,320 --> 00:42:58,759 Speaker 4: but they had masks on, they had guns because they 813 00:42:58,760 --> 00:43:02,360 Speaker 4: were LARPing, live role playing like they were actually defending 814 00:43:02,400 --> 00:43:05,360 Speaker 4: something important, when in reality, what they were defending was 815 00:43:05,400 --> 00:43:08,799 Speaker 4: a bunch of perverts in thongs reading to children trying 816 00:43:08,800 --> 00:43:12,359 Speaker 4: to indoctrinate them. So we have young people being indoctrinated 817 00:43:12,360 --> 00:43:16,320 Speaker 4: by their social media algorithms, being indoctrinated by artificial intelligence, 818 00:43:16,360 --> 00:43:21,320 Speaker 4: being indoctrinated by men and female for Sona fur costumes, 819 00:43:21,360 --> 00:43:24,040 Speaker 4: and being indoctrinated by drag queens at. 820 00:43:23,880 --> 00:43:25,319 Speaker 2: Their local bookstore. 821 00:43:26,680 --> 00:43:31,720 Speaker 4: The world is incredibly bizarre. Reality is stranger than fiction. 822 00:43:32,160 --> 00:43:34,640 Speaker 4: But I think there is one person that can save 823 00:43:34,760 --> 00:43:39,440 Speaker 4: us all, and that person is my biological stepfather, Tucker Carlson. 824 00:43:39,520 --> 00:43:40,480 Speaker 2: And I'm not kidding. 825 00:43:40,520 --> 00:43:43,200 Speaker 4: I love Tucker. Tucker's helped me out a lot. I 826 00:43:43,239 --> 00:43:46,400 Speaker 4: consider him a good friend, and I believe that he 827 00:43:46,680 --> 00:43:49,920 Speaker 4: would be the best candidate for the next president of 828 00:43:49,960 --> 00:43:52,440 Speaker 4: the United States of America. And whether you'd like to 829 00:43:52,480 --> 00:43:55,239 Speaker 4: hear that or not, he is a serious contender. Now 830 00:43:55,280 --> 00:43:57,279 Speaker 4: I've talked to Tucker about this and he has a 831 00:43:57,280 --> 00:43:58,680 Speaker 4: lot of trepidation when. 832 00:43:58,560 --> 00:44:00,000 Speaker 2: It comes to actually getting in the race. 833 00:44:00,000 --> 00:44:01,640 Speaker 4: He speaks he knows that it will put a target 834 00:44:01,640 --> 00:44:04,320 Speaker 4: on his back in that the job is not easy, 835 00:44:04,680 --> 00:44:06,680 Speaker 4: and he already has a great life where he's a 836 00:44:06,760 --> 00:44:10,080 Speaker 4: multi millionaire, and he already has enough stress just being 837 00:44:10,160 --> 00:44:12,080 Speaker 4: a talk show host. And I don't know if he 838 00:44:12,080 --> 00:44:14,359 Speaker 4: wants the stress of being the leader of the free world. 839 00:44:14,440 --> 00:44:17,400 Speaker 4: But I want to play this clip from GBA News 840 00:44:17,440 --> 00:44:20,920 Speaker 4: talking about how Tucker Carlson is a serious candidate for 841 00:44:21,000 --> 00:44:22,360 Speaker 4: president of the United States. 842 00:44:23,440 --> 00:44:25,920 Speaker 17: Can say is lots of people thought Donald Trump was 843 00:44:25,960 --> 00:44:28,080 Speaker 17: unlikely in the first place, and lots of people laughed 844 00:44:28,080 --> 00:44:30,040 Speaker 17: at the idea of that and that Clery are now 845 00:44:30,040 --> 00:44:33,000 Speaker 17: in the second term. But I think what it speaks 846 00:44:33,040 --> 00:44:36,120 Speaker 17: to is the shift and the prediction betting markets, and 847 00:44:36,239 --> 00:44:38,920 Speaker 17: they actually have some mega figures coming out and saying 848 00:44:39,200 --> 00:44:42,480 Speaker 17: he better represents how the base feels on Iran, I 849 00:44:42,480 --> 00:44:44,839 Speaker 17: think he is speaking to how Tucker Carlson is going 850 00:44:44,880 --> 00:44:48,680 Speaker 17: to be an important figure around the twenty twenty eight nomination, 851 00:44:49,120 --> 00:44:51,799 Speaker 17: whether or not he is on the ballot paper or 852 00:44:51,840 --> 00:44:54,839 Speaker 17: he is perhaps a king maker. He is criticizing those 853 00:44:54,880 --> 00:44:57,520 Speaker 17: going for it and praising some who do. And I 854 00:44:57,520 --> 00:45:01,279 Speaker 17: think he's very divisive in the republic Party, particularly since 855 00:45:01,360 --> 00:45:05,759 Speaker 17: last year when he entried Nick Fronts and the far 856 00:45:05,840 --> 00:45:09,560 Speaker 17: right influencer and that led to some Republicans saying he 857 00:45:09,600 --> 00:45:12,560 Speaker 17: shouldn't have done it. But even his critics admit, you 858 00:45:12,600 --> 00:45:15,319 Speaker 17: cannot dismiss Tucker Carlson. He is not someone you can 859 00:45:15,400 --> 00:45:16,040 Speaker 17: easily ignore. 860 00:45:17,120 --> 00:45:20,080 Speaker 4: See, Tucker is not afraid to speak to the youth 861 00:45:20,120 --> 00:45:22,799 Speaker 4: of America and try to appeal to young people. And 862 00:45:22,800 --> 00:45:25,520 Speaker 4: that's why I believe Tucker Carlson would be the best 863 00:45:25,600 --> 00:45:28,680 Speaker 4: candidate when it comes to saving our country from all 864 00:45:28,719 --> 00:45:33,280 Speaker 4: of the indoctrination and grooming from these evil social media companies, 865 00:45:33,560 --> 00:45:37,960 Speaker 4: these perverse online and these perverts in person. Because I 866 00:45:38,000 --> 00:45:40,480 Speaker 4: get bullied all the time. This next clip is of 867 00:45:40,520 --> 00:45:44,480 Speaker 4: another furry and they always call me the mayo monkey. Oh, Alex, 868 00:45:44,520 --> 00:45:47,240 Speaker 4: you're so why you're this mayonnaise monkey. Well, I don't 869 00:45:47,320 --> 00:45:49,600 Speaker 4: like it, and I don't like these type of people 870 00:45:49,800 --> 00:45:52,840 Speaker 4: bullying me. So let's play this clip of one of 871 00:45:52,880 --> 00:45:55,239 Speaker 4: the furries from the Furry Convention that I was just hat. 872 00:46:05,120 --> 00:46:08,040 Speaker 4: I mean, the furries are so authentic, they actually like 873 00:46:08,239 --> 00:46:11,400 Speaker 4: look like they're per Sonas. Now they're becoming their personas. 874 00:46:11,719 --> 00:46:14,200 Speaker 4: I mean that person took off the mask and looked 875 00:46:14,239 --> 00:46:17,960 Speaker 4: identical to it. That should scare you. And the only 876 00:46:18,000 --> 00:46:21,440 Speaker 4: person that can stop this is the one, the only 877 00:46:22,000 --> 00:46:26,160 Speaker 4: Tucker Carlson. All Right, guys, thank you so much for joining. 878 00:46:26,160 --> 00:46:27,440 Speaker 4: I mean, look at this guy, I mean, he has 879 00:46:27,480 --> 00:46:30,279 Speaker 4: become his persona. You can't even tell the difference. This 880 00:46:30,440 --> 00:46:33,120 Speaker 4: should scare you. This is what's happening to the young people. 881 00:46:33,320 --> 00:46:36,759 Speaker 4: They're actually becoming their fake for Sonas. 882 00:46:37,239 --> 00:46:39,440 Speaker 2: It's very alarming. I'm very worried about it. 883 00:46:39,640 --> 00:46:42,520 Speaker 4: But what helps me stay up at night to fight 884 00:46:42,560 --> 00:46:46,279 Speaker 4: against his evil cabal and doctrinating us is this delicious 885 00:46:46,360 --> 00:46:48,479 Speaker 4: Soldier Fuel, which you can get on Amazon dot com 886 00:46:48,520 --> 00:46:51,120 Speaker 4: and we're currently doing the Soldier Fuel challenge. Or if 887 00:46:51,160 --> 00:46:53,760 Speaker 4: you film yourself drinking this and you go to soldier 888 00:46:53,800 --> 00:46:57,000 Speaker 4: Field dot com slash challenge and upload a video, potentially 889 00:46:57,520 --> 00:46:59,440 Speaker 4: your clip could be played on the show, and if 890 00:46:59,480 --> 00:47:02,520 Speaker 4: we like it so much, will send you a free 891 00:47:02,760 --> 00:47:05,920 Speaker 4: case of Soldier Fuel. Can't beat that free ninety nine 892 00:47:06,080 --> 00:47:10,160 Speaker 4: is the best price on earth. Now, what is important 893 00:47:10,440 --> 00:47:12,680 Speaker 4: that we do a real America's voice is not just 894 00:47:12,760 --> 00:47:16,640 Speaker 4: make great TV shows We are also trying to change 895 00:47:16,640 --> 00:47:19,319 Speaker 4: the culture in the music business because just like the 896 00:47:19,320 --> 00:47:21,799 Speaker 4: social media algorithms are grooming your children, just like the 897 00:47:21,800 --> 00:47:24,920 Speaker 4: weird furries are grooming your children, just like everybody's grooming 898 00:47:24,960 --> 00:47:27,480 Speaker 4: your children. The music that we're making here, a real 899 00:47:27,560 --> 00:47:30,160 Speaker 4: America's voice, is not meant to groom you. It's meant 900 00:47:30,239 --> 00:47:33,319 Speaker 4: to help the future, not hurt it. So I want 901 00:47:33,320 --> 00:47:36,719 Speaker 4: to play this great song from a real America's voice. 902 00:47:36,800 --> 00:47:41,000 Speaker 4: Artist hi Res called God Bless America because our artists 903 00:47:41,080 --> 00:47:43,840 Speaker 4: actually care about this country and they're not using subversive 904 00:47:43,880 --> 00:47:47,399 Speaker 4: techniques to destroy I'll see you guys tomorrow night. Check 905 00:47:47,440 --> 00:47:56,840 Speaker 4: out God Bless America by High Resthers. 906 00:47:52,880 --> 00:47:55,800 Speaker 3: America breezing A lot of you standing with me. 907 00:47:56,120 --> 00:48:01,160 Speaker 18: Other's America over the Brave Father the USA. Americo gaits 908 00:48:01,200 --> 00:48:02,839 Speaker 18: no tree ow Nerds don't care if you say it's 909 00:48:02,880 --> 00:48:05,080 Speaker 18: the word. You've got to z Americo the truth in 910 00:48:05,120 --> 00:48:06,279 Speaker 18: the laves bonn here It's. 911 00:48:06,160 --> 00:48:09,279 Speaker 3: Where raw Dame go. This America, the land embrace. A 912 00:48:09,360 --> 00:48:11,560 Speaker 3: lot of you said it with me. Love It's America 913 00:48:12,040 --> 00:48:15,160 Speaker 3: over the brave bat of the USA. Love It's America. 914 00:48:15,400 --> 00:48:17,000 Speaker 3: Ready is no tree? Ow Nerds don't care if you 915 00:48:17,080 --> 00:48:19,600 Speaker 3: say it's the word, go us America, the truth in 916 00:48:19,680 --> 00:48:22,520 Speaker 3: the loves Boni here swear rau da Rap Family. 917 00:48:22,920 --> 00:48:25,800 Speaker 19: Real America's music has a new track to push to 918 00:48:25,880 --> 00:48:29,240 Speaker 19: the top of the charts. God Bless America by Hi Rez. 919 00:48:29,560 --> 00:48:32,640 Speaker 19: Let's show the left we're proud to be Americans. Scan 920 00:48:32,800 --> 00:48:36,719 Speaker 19: the QR code or search God Bless America on iTunes 921 00:48:36,760 --> 00:48:38,560 Speaker 19: Today Vero read is no tree. 922 00:48:38,400 --> 00:48:40,120 Speaker 18: Ow Nerds don't care if you say it's the word 923 00:48:40,320 --> 00:48:42,920 Speaker 18: got us America. You're truth in the loves Born here 924 00:48:43,000 --> 00:48:43,640 Speaker 18: swear raw Da