1 00:00:00,440 --> 00:00:04,880 Speaker 1: Wake that answer up in the morning. The Breakfast Club Morning. 2 00:00:04,920 --> 00:00:08,520 Speaker 2: Everybody is the j en Vy Jesse Larius Charlamage, the guy. 3 00:00:08,520 --> 00:00:10,319 Speaker 2: We are the Breakfast Club. We got a special guest 4 00:00:10,360 --> 00:00:12,600 Speaker 2: in the building, the legend doctor Phil. 5 00:00:13,080 --> 00:00:15,920 Speaker 1: Welcome. Good morning. How is everybody. How you feeling. 6 00:00:16,000 --> 00:00:16,960 Speaker 3: Let's Black and Holly favored. 7 00:00:16,960 --> 00:00:18,000 Speaker 1: How are you? I'm doing good. 8 00:00:18,640 --> 00:00:20,320 Speaker 3: You got a new book out. We've got issues. 9 00:00:20,360 --> 00:00:23,280 Speaker 4: How you can stand strong for America's soul in sanity? 10 00:00:23,320 --> 00:00:25,439 Speaker 4: I was I think I was watching the watching Fox 11 00:00:25,480 --> 00:00:26,880 Speaker 4: News one night and I saw you go down to 12 00:00:26,920 --> 00:00:27,360 Speaker 4: the border. 13 00:00:27,800 --> 00:00:30,760 Speaker 1: I did. I went down to the border. That's a 14 00:00:31,520 --> 00:00:38,839 Speaker 1: that's a really unusual situation down there. I've and I've 15 00:00:38,880 --> 00:00:40,280 Speaker 1: heard so much about it, but I want to go 16 00:00:40,320 --> 00:00:45,760 Speaker 1: see it for myself, and uh, it's it's not what 17 00:00:45,840 --> 00:00:50,560 Speaker 1: you think when you go down there. You know, first off, 18 00:00:50,600 --> 00:00:54,920 Speaker 1: they tell everybody that there's this big tension between Texas 19 00:00:55,000 --> 00:00:59,360 Speaker 1: and the national folks. That's not true at all. I mean, 20 00:00:59,400 --> 00:01:05,400 Speaker 1: they're having together, they're working together, and they're their number 21 00:01:05,400 --> 00:01:10,320 Speaker 1: one priority is keeping everybody safe. Coming across that river 22 00:01:10,480 --> 00:01:15,520 Speaker 1: is deep and it's the current is really strong, and 23 00:01:16,360 --> 00:01:18,720 Speaker 1: they're worried to death. People are going to drown and 24 00:01:18,760 --> 00:01:24,240 Speaker 1: some do out there. So these are you know, they're 25 00:01:24,319 --> 00:01:27,039 Speaker 1: just like they're they're just people with a job. You know, 26 00:01:27,120 --> 00:01:28,800 Speaker 1: there's down there trying to do their job. 27 00:01:30,160 --> 00:01:32,240 Speaker 4: So what's the biggest issue, you'd think, like, what's the 28 00:01:32,280 --> 00:01:34,039 Speaker 4: problem with the with the with the actual boarder. 29 00:01:34,640 --> 00:01:37,399 Speaker 1: I think the biggest problem is we don't know who's 30 00:01:37,440 --> 00:01:42,479 Speaker 1: coming in and and I and I got to be 31 00:01:42,720 --> 00:01:47,800 Speaker 1: real clear, I am very pro immigration. We need people 32 00:01:49,200 --> 00:01:52,760 Speaker 1: in America. This first, this country wouldn't exist without immigrants, 33 00:01:53,440 --> 00:01:56,200 Speaker 1: and we need immigrants. Our birth rate right now is 34 00:01:56,240 --> 00:01:59,400 Speaker 1: one point six. We need two point one just to 35 00:01:59,560 --> 00:02:05,560 Speaker 1: sustain our current infrastructure. We need people in America or 36 00:02:05,600 --> 00:02:09,440 Speaker 1: we can't pay for everything we need for jobs and 37 00:02:11,160 --> 00:02:15,160 Speaker 1: creativity and just the numbers to support the system. We 38 00:02:15,240 --> 00:02:19,959 Speaker 1: need immigrants. But we do need to know who's coming 39 00:02:20,000 --> 00:02:26,519 Speaker 1: in because I think in just the last month, they 40 00:02:28,360 --> 00:02:32,360 Speaker 1: picked up seventeen that are currently on the terrorist watch list, 41 00:02:33,760 --> 00:02:40,000 Speaker 1: and they're not These are not all Mexican citizens that 42 00:02:40,040 --> 00:02:45,120 Speaker 1: are coming They're coming in from Syria, Libya, China. How 43 00:02:45,160 --> 00:02:48,640 Speaker 1: are they winding up at the southern border, And even 44 00:02:48,680 --> 00:02:52,959 Speaker 1: all of those aren't bad. Between twenty ten and twenty 45 00:02:53,040 --> 00:03:01,760 Speaker 1: twenty they had maybe a couple of hundred or you know, 46 00:03:01,840 --> 00:03:05,560 Speaker 1: several hundred Chinese come across the border in that time, 47 00:03:05,560 --> 00:03:09,919 Speaker 1: eleven hundred, twelve hundred. In the first eleven months of 48 00:03:10,000 --> 00:03:17,280 Speaker 1: twenty twenty three, it was thirty three thousand. Why, you know, 49 00:03:16,840 --> 00:03:21,560 Speaker 1: you really wonder why, and are these people trying to 50 00:03:21,919 --> 00:03:28,639 Speaker 1: escape the Chinese government and all of the problems they 51 00:03:28,680 --> 00:03:35,240 Speaker 1: have being under a communist regime, or are they Chinese 52 00:03:35,920 --> 00:03:40,760 Speaker 1: operatives that are trying to get into this country to 53 00:03:40,920 --> 00:03:45,280 Speaker 1: create problems. I think it's some of both. But how 54 00:03:45,280 --> 00:03:48,880 Speaker 1: are they getting out of China? You just don't wake 55 00:03:48,960 --> 00:03:51,600 Speaker 1: up in China and say, you know, think I'll take 56 00:03:51,640 --> 00:03:55,120 Speaker 1: a flyer, think I'll take a trip and leave like 57 00:03:55,160 --> 00:03:57,400 Speaker 1: you do in America. That's not how it works in China. 58 00:03:57,440 --> 00:04:00,240 Speaker 1: You got to it's a big deal to get out 59 00:04:00,240 --> 00:04:03,960 Speaker 1: of China. And if you've got family there, you got 60 00:04:03,960 --> 00:04:06,040 Speaker 1: a real problem if you just up and leave. So 61 00:04:07,160 --> 00:04:12,160 Speaker 1: big questions about people coming across the border, who they 62 00:04:12,200 --> 00:04:17,359 Speaker 1: are and who they aren't, and and the border guards 63 00:04:17,400 --> 00:04:20,880 Speaker 1: down there aren't trying to close the border, they're trying 64 00:04:20,920 --> 00:04:24,000 Speaker 1: to control the border. And that was a big revelation 65 00:04:24,160 --> 00:04:24,359 Speaker 1: to me. 66 00:04:24,560 --> 00:04:26,280 Speaker 5: Now I seen you when you were down the border. 67 00:04:26,320 --> 00:04:27,919 Speaker 2: You were saying that you know that fair was that 68 00:04:27,920 --> 00:04:29,680 Speaker 2: there was a lot of drug smugglers coming in, and 69 00:04:29,720 --> 00:04:31,840 Speaker 2: there was a lot of sex trafficking and sex workers 70 00:04:31,839 --> 00:04:34,200 Speaker 2: coming in, and that was one of the biggest fears. 71 00:04:36,800 --> 00:04:42,880 Speaker 1: I'm often I'm seldom without words. And I asked Brandon Judd, 72 00:04:42,880 --> 00:04:47,200 Speaker 1: who's the head of the union for nationally for the 73 00:04:47,240 --> 00:04:49,440 Speaker 1: border guards. He was the former border guard, he's now 74 00:04:49,760 --> 00:04:54,799 Speaker 1: head of the union. I asked him straight up, these 75 00:04:54,920 --> 00:04:58,640 Speaker 1: children that are coming in, they have addresses written on 76 00:04:58,720 --> 00:05:02,039 Speaker 1: their arms, the phone number written on their arms. And 77 00:05:02,080 --> 00:05:06,840 Speaker 1: I say, so we're contacting those people right and saying 78 00:05:09,680 --> 00:05:12,960 Speaker 1: child's coming in with this number. Do you know this child? Yes, 79 00:05:13,000 --> 00:05:17,440 Speaker 1: we do. Are you prepared to take this child? Yes? 80 00:05:17,480 --> 00:05:20,719 Speaker 1: We are. I said, what are we doing to check 81 00:05:20,800 --> 00:05:25,240 Speaker 1: these people out? I said, are we? Is it possible 82 00:05:26,400 --> 00:05:32,240 Speaker 1: that we are using our resources and tax dollars to 83 00:05:32,440 --> 00:05:39,520 Speaker 1: traffic young children into prostitution, if the sex trade selling 84 00:05:39,560 --> 00:05:44,800 Speaker 1: these children or putting them into sweat chops or whatever. 85 00:05:45,920 --> 00:05:49,880 Speaker 1: And he said, oh, it's not possible. We are, Wow, 86 00:05:50,600 --> 00:05:54,640 Speaker 1: we are. And I said, whoa, whoa, whoa, whoa. You 87 00:05:54,680 --> 00:05:57,840 Speaker 1: know there's a camera right here over my shoulder. Right, 88 00:05:59,279 --> 00:06:05,359 Speaker 1: you're telling me we're spending United States citizens tax dollars 89 00:06:06,680 --> 00:06:16,040 Speaker 1: to traffic young children into known sex trade or or sweatshops. 90 00:06:17,120 --> 00:06:21,320 Speaker 1: He said absolutely. I said, why have you Why are 91 00:06:21,320 --> 00:06:24,240 Speaker 1: you not talking about this? Why are people not talking 92 00:06:24,240 --> 00:06:28,839 Speaker 1: about this? And he said, because people aren't asking me 93 00:06:28,960 --> 00:06:33,000 Speaker 1: these direct questions like you're asking. And I'm grateful for 94 00:06:33,040 --> 00:06:34,360 Speaker 1: it is all. 95 00:06:36,120 --> 00:06:36,800 Speaker 3: To be able to do that. 96 00:06:37,400 --> 00:06:44,560 Speaker 1: No, of course not. But they're saying, we're overwhelmed down here. 97 00:06:44,600 --> 00:06:50,520 Speaker 1: We were sending them on and I said, this is outrageous. 98 00:06:51,520 --> 00:06:54,120 Speaker 1: That take the money out of it, that we're funding it. 99 00:06:54,839 --> 00:07:00,840 Speaker 1: Just the fact that we're trafficking these young children and 100 00:07:00,960 --> 00:07:07,080 Speaker 1: it doesn't make a difference to me whether they're Mexican origin, Syrian, whatever. 101 00:07:07,760 --> 00:07:11,400 Speaker 1: They're showing up unaccompanied and where trafficking come on. That's 102 00:07:12,680 --> 00:07:16,520 Speaker 1: that's heartbreaking to me, absolutely, that we're doing that. 103 00:07:16,840 --> 00:07:18,200 Speaker 3: And that's why I ask. 104 00:07:18,480 --> 00:07:21,000 Speaker 4: Is illegal, because she should in charges be bought up 105 00:07:21,000 --> 00:07:23,560 Speaker 4: on those people who are at the border who are 106 00:07:23,560 --> 00:07:26,640 Speaker 4: allowing those children to get put in the sex traffice. 107 00:07:26,720 --> 00:07:29,600 Speaker 1: Yeah, you'd think so, yeah, And he said a lot 108 00:07:29,640 --> 00:07:35,400 Speaker 1: of these children are getting recycled. You'll see children come through, 109 00:07:35,640 --> 00:07:39,720 Speaker 1: and they'll be with a group to make it look 110 00:07:39,760 --> 00:07:44,080 Speaker 1: like a family, and we'll see that same child cycle 111 00:07:44,200 --> 00:07:47,480 Speaker 1: back through. Here a couple of weeks later, it's the 112 00:07:47,560 --> 00:07:48,120 Speaker 1: same kid. 113 00:07:48,240 --> 00:07:49,120 Speaker 5: What a different family. 114 00:07:49,240 --> 00:07:52,040 Speaker 1: They get through, and then they send them back around 115 00:07:52,520 --> 00:07:56,680 Speaker 1: and put them with another group and they come back 116 00:07:56,680 --> 00:07:58,680 Speaker 1: two or three children come back again. 117 00:07:58,800 --> 00:08:01,320 Speaker 2: Well, let me ask you what you know, of course, 118 00:08:01,400 --> 00:08:04,880 Speaker 2: from your show. For years, you've been fixing people's relationships, 119 00:08:04,880 --> 00:08:06,280 Speaker 2: fixing people's lives. 120 00:08:06,680 --> 00:08:08,120 Speaker 5: What makes you want to fix America? 121 00:08:09,600 --> 00:08:18,920 Speaker 1: We don't. That's a great question all of our I've 122 00:08:18,960 --> 00:08:24,760 Speaker 1: spent twenty one years at CBS doing the show, and 123 00:08:25,680 --> 00:08:30,560 Speaker 1: what made up the composition of the show is what 124 00:08:30,640 --> 00:08:32,880 Speaker 1: we would get most of the time. Now, sometimes we 125 00:08:32,960 --> 00:08:35,120 Speaker 1: do news stories or whatever, but most of the time, 126 00:08:35,480 --> 00:08:38,240 Speaker 1: probably eighty five nine percent of the time would be 127 00:08:38,320 --> 00:08:43,280 Speaker 1: based on the letters we would get, emails that we 128 00:08:43,320 --> 00:08:50,040 Speaker 1: would get from people writing in, and that determined the 129 00:08:50,080 --> 00:08:52,319 Speaker 1: content of the show. I didn't want to guess at 130 00:08:52,320 --> 00:08:59,200 Speaker 1: what people wanted to hear. We looked at what are 131 00:08:59,679 --> 00:09:03,200 Speaker 1: male made up? And so we had choose what was 132 00:09:03,280 --> 00:09:05,680 Speaker 1: the most common sort of thing we were getting asked. 133 00:09:06,920 --> 00:09:10,280 Speaker 1: And that's changed across time. Think about this. I'm a 134 00:09:10,320 --> 00:09:15,800 Speaker 1: little older than you guys, but when I started doctor 135 00:09:15,840 --> 00:09:19,680 Speaker 1: Phil in two thousand and two, the first text message 136 00:09:19,920 --> 00:09:24,080 Speaker 1: had never been sent. Wow, think about how much has changed. 137 00:09:24,120 --> 00:09:27,079 Speaker 1: The first text had never been people weren't doing emails. 138 00:09:29,160 --> 00:09:33,600 Speaker 1: And then about eight to nine it was like big 139 00:09:33,720 --> 00:09:36,920 Speaker 1: C one thirties flew over the country and dropped smartphones 140 00:09:36,920 --> 00:09:43,520 Speaker 1: on everybody. And that changed the world for evermore. And 141 00:09:43,720 --> 00:09:48,800 Speaker 1: it was the biggest change in our lives since the 142 00:09:48,880 --> 00:09:54,520 Speaker 1: Industrial Revolution. Took place way before our generations, but the 143 00:09:54,600 --> 00:09:57,920 Speaker 1: Industrial Revolution changed everything. Right until that time, we were 144 00:09:57,920 --> 00:10:02,240 Speaker 1: an agricultural world. Ninety five percent of the people worked 145 00:10:02,240 --> 00:10:06,760 Speaker 1: on farms. With the Industrial Revolution, that started changing pretty soon. 146 00:10:06,800 --> 00:10:08,880 Speaker 1: It got down to twenty five. Now it's one percent 147 00:10:10,200 --> 00:10:14,640 Speaker 1: our agriculture. Everybody else's mechanized, working in tect and all 148 00:10:14,679 --> 00:10:19,560 Speaker 1: that sort of stuff that changed the world. I think 149 00:10:20,720 --> 00:10:26,160 Speaker 1: smartphones and technology is the biggest change since the Industrial Revolution. 150 00:10:26,880 --> 00:10:29,920 Speaker 1: And why think about you're walking around with an iPad 151 00:10:30,000 --> 00:10:34,079 Speaker 1: or a phone in your hand that has more computing 152 00:10:34,200 --> 00:10:37,480 Speaker 1: power than we had when we put the Man on 153 00:10:37,559 --> 00:10:42,120 Speaker 1: the Moon in your hand. I mean, think about that, 154 00:10:42,280 --> 00:10:45,199 Speaker 1: the memory, the speed, the computing power, the number of 155 00:10:45,280 --> 00:10:47,520 Speaker 1: operations you can do per second, you think it has 156 00:10:47,559 --> 00:10:50,840 Speaker 1: been for better or worse. I think it's better, I mean, 157 00:10:52,160 --> 00:10:58,240 Speaker 1: but the unintended consequences of it at that same time, 158 00:10:59,280 --> 00:11:01,439 Speaker 1: just think about it. Nobody was going through life this way, 159 00:11:01,600 --> 00:11:04,839 Speaker 1: you know, head up, looking around, and in eight or nine, 160 00:11:04,880 --> 00:11:07,480 Speaker 1: all of a sudden, everybody's head went down looking at 161 00:11:07,480 --> 00:11:10,160 Speaker 1: the screen. Walk around now, look out on the streets 162 00:11:10,160 --> 00:11:13,080 Speaker 1: of New York. Everybody's heads like this. You know how 163 00:11:13,120 --> 00:11:14,960 Speaker 1: many times people check their phones every day? 164 00:11:15,559 --> 00:11:16,040 Speaker 3: Too much? 165 00:11:16,880 --> 00:11:19,439 Speaker 1: Three hundred and fifty two times a day on average, 166 00:11:19,480 --> 00:11:23,600 Speaker 1: That includes old people, not just kids, on average, three 167 00:11:23,720 --> 00:11:27,480 Speaker 1: hundred and fifty two times a day. Now you're figure 168 00:11:27,520 --> 00:11:32,600 Speaker 1: you sleep eight hours, so that's sixteen during sixteen hours. 169 00:11:32,600 --> 00:11:34,760 Speaker 1: They checked their phone three hund and fifty two times 170 00:11:35,640 --> 00:11:40,600 Speaker 1: during that those waking hours. And at the same time 171 00:11:40,679 --> 00:11:44,760 Speaker 1: that those cell phones came out, we saw the biggest 172 00:11:44,840 --> 00:11:52,120 Speaker 1: spikes in depression, anxiety, and loneliness with young people since 173 00:11:52,240 --> 00:11:57,360 Speaker 1: records started getting kept. And why because they stopped living 174 00:11:57,400 --> 00:12:03,199 Speaker 1: their lives and started watching people live their lives, and 175 00:12:03,280 --> 00:12:07,199 Speaker 1: they started comparing their life to the life they were 176 00:12:07,200 --> 00:12:09,320 Speaker 1: watching being lived on that phone. And the problem was 177 00:12:09,400 --> 00:12:10,880 Speaker 1: the life they were watching was a fiction. 178 00:12:11,160 --> 00:12:11,800 Speaker 3: Yeah, we watched. 179 00:12:11,960 --> 00:12:14,480 Speaker 4: They spend so much time watching everybody's highlight reel and 180 00:12:14,600 --> 00:12:17,120 Speaker 4: comparing their real life to a highlight reel, and. 181 00:12:17,080 --> 00:12:20,920 Speaker 1: That highlight reel istake most of the time. I've had 182 00:12:20,960 --> 00:12:25,120 Speaker 1: these influencers on the show and they say, I post 183 00:12:25,160 --> 00:12:29,680 Speaker 1: this reel up and I'm putting on these great clothes 184 00:12:29,760 --> 00:12:32,720 Speaker 1: and all that say so excited going to the NBA 185 00:12:32,800 --> 00:12:35,720 Speaker 1: All Star Game tonight, got floors, seats on the floor 186 00:12:36,320 --> 00:12:39,679 Speaker 1: and all this stuff. Says, soon as that video's over, 187 00:12:40,240 --> 00:12:43,360 Speaker 1: I carefully take those clothes off because they have to 188 00:12:43,400 --> 00:12:47,240 Speaker 1: go back. I don't own them, I have to return them. 189 00:12:47,280 --> 00:12:49,680 Speaker 1: I couldn't afford to buy those clothes. And then I 190 00:12:49,720 --> 00:12:52,000 Speaker 1: put my sweats on and put my happy ass on 191 00:12:52,040 --> 00:12:55,280 Speaker 1: the couch. I don't have tickets to the NBA All 192 00:12:55,360 --> 00:13:00,280 Speaker 1: Star Games. I'm just doing that, you know, to get followers. 193 00:13:00,480 --> 00:13:04,520 Speaker 1: They're just like everybody else. But all these other people 194 00:13:04,600 --> 00:13:07,920 Speaker 1: are watching this and saying, God, what a loser am I. 195 00:13:07,920 --> 00:13:10,120 Speaker 1: I'm not going to any game. I don't have clothes 196 00:13:10,240 --> 00:13:13,439 Speaker 1: like that, And so by comparison, their self esteem and 197 00:13:13,480 --> 00:13:16,840 Speaker 1: their self worth goes down, and they say it's terrible. 198 00:13:17,280 --> 00:13:19,920 Speaker 4: I think small phones have ruined the sanity of America, 199 00:13:19,960 --> 00:13:23,040 Speaker 4: and I don't think that. I think in the long run, 200 00:13:23,040 --> 00:13:26,280 Speaker 4: we're going to realize it wasn't what we thought. It 201 00:13:26,320 --> 00:13:27,520 Speaker 4: wasn't as good as we thought it was. 202 00:13:27,800 --> 00:13:30,680 Speaker 1: Yeah, I think the downsides are huge. 203 00:13:30,840 --> 00:13:33,160 Speaker 3: I don't think it's the phones. It's social media more 204 00:13:33,200 --> 00:13:34,199 Speaker 3: so than anything. 205 00:13:34,480 --> 00:13:40,200 Speaker 1: Yeah, it's definitely social media. People don't know. But to 206 00:13:40,200 --> 00:13:44,320 Speaker 1: answer your question, why am I focused on America? The 207 00:13:44,440 --> 00:13:48,760 Speaker 1: question started changing, the questions started changing. People start saying, 208 00:13:49,600 --> 00:13:54,240 Speaker 1: you know, my kids. When I turned sixteen, when I 209 00:13:54,440 --> 00:13:58,480 Speaker 1: was three hundred and fifty five days, twenty three hours 210 00:13:58,520 --> 00:14:00,960 Speaker 1: and fifty nine minutes old, I was standing at the 211 00:14:01,040 --> 00:14:04,320 Speaker 1: DMV to get my driver's license. Right. I wanted that 212 00:14:04,400 --> 00:14:06,679 Speaker 1: license because it's freedom. You're right, you can get out 213 00:14:06,679 --> 00:14:11,800 Speaker 1: and go. And my first car, my older sister gave me. 214 00:14:13,040 --> 00:14:18,080 Speaker 1: It was a Saratoga. It was a Plymouth or Chrysler Saratoga. 215 00:14:18,120 --> 00:14:21,160 Speaker 1: I forget what it was. It would only go She 216 00:14:21,200 --> 00:14:22,840 Speaker 1: gave it to me because it would only go thirty 217 00:14:22,880 --> 00:14:26,360 Speaker 1: eight miles an hour. At thirty nine, it started shaking 218 00:14:26,440 --> 00:14:28,600 Speaker 1: so bad because the front end was gone. But I 219 00:14:28,680 --> 00:14:32,160 Speaker 1: was so glad to get it because it was freedom right. 220 00:14:33,400 --> 00:14:35,440 Speaker 1: They don't even get their driver's license when they turned 221 00:14:35,440 --> 00:14:39,200 Speaker 1: sixteen anymore, I don't care. They date later, they start 222 00:14:39,280 --> 00:14:42,840 Speaker 1: having sex later, they engage with the world later. On average, 223 00:14:42,880 --> 00:14:47,080 Speaker 1: they have less than one good friend because they live 224 00:14:47,920 --> 00:14:50,960 Speaker 1: for followers and clicks and all that. So they're not 225 00:14:51,080 --> 00:14:55,560 Speaker 1: developing emotionally, and you know, they're depressed, anxious, and lonely. 226 00:14:55,640 --> 00:14:59,160 Speaker 1: So the downside is really bad. So the questions started changing. 227 00:14:59,400 --> 00:15:05,040 Speaker 1: I had to start dealing with cyber bullying, cyber predators 228 00:15:06,240 --> 00:15:09,000 Speaker 1: pretending to be a fourteen year old guy getting a 229 00:15:09,000 --> 00:15:10,720 Speaker 1: fourteen year old girl to come out of her bedroom 230 00:15:10,720 --> 00:15:12,480 Speaker 1: window and meet them at midnight, and they got there 231 00:15:12,520 --> 00:15:15,760 Speaker 1: and it was a forty five year old pedophile that 232 00:15:15,880 --> 00:15:20,560 Speaker 1: abducted them and took off. You know, all of these 233 00:15:20,680 --> 00:15:24,240 Speaker 1: the questions started changing, and they've continued to change now 234 00:15:24,280 --> 00:15:29,920 Speaker 1: where kids are concerned about parents are concerned what are 235 00:15:29,920 --> 00:15:33,960 Speaker 1: their kids getting exposed to at school? Are they getting 236 00:15:34,680 --> 00:15:37,920 Speaker 1: groomed on the internet. You know, they think they're back 237 00:15:37,920 --> 00:15:40,240 Speaker 1: there playing a video game. They don't realize those video 238 00:15:40,280 --> 00:15:43,400 Speaker 1: games are Internet capable, and so they're in chat rooms 239 00:15:43,440 --> 00:15:47,760 Speaker 1: while they're playing the game. You know, things like that, 240 00:15:47,920 --> 00:15:53,000 Speaker 1: And then all of these issues that are now pounding 241 00:15:53,040 --> 00:15:57,480 Speaker 1: on families because I think, I think families in America 242 00:15:57,600 --> 00:16:01,040 Speaker 1: are under attack, and I think I think the family 243 00:16:01,120 --> 00:16:05,440 Speaker 1: unit is the backbone of America, and if that's under attack, 244 00:16:05,560 --> 00:16:09,320 Speaker 1: then America gets weakened. And somebody's got to stand up 245 00:16:09,320 --> 00:16:12,080 Speaker 1: and call this stuff out. And those are the questions 246 00:16:12,080 --> 00:16:14,720 Speaker 1: I'm getting. And I didn't want to write another book. 247 00:16:15,080 --> 00:16:18,800 Speaker 1: You know, you've written books, and I felt into a 248 00:16:18,880 --> 00:16:19,320 Speaker 1: lot of work. 249 00:16:19,400 --> 00:16:21,200 Speaker 3: Yeah, I got another one coming out soon. 250 00:16:21,320 --> 00:16:23,240 Speaker 1: Yeah, And how much work is it? 251 00:16:23,880 --> 00:16:25,520 Speaker 3: See? This one took me five six years. 252 00:16:25,680 --> 00:16:29,320 Speaker 1: Yeah, that's what I mean. And that's time away from family. 253 00:16:29,760 --> 00:16:31,440 Speaker 1: You got to go get in the room by yourself. 254 00:16:31,480 --> 00:16:33,640 Speaker 1: You got to sit down. They're writing and stuff out. 255 00:16:34,560 --> 00:16:36,880 Speaker 1: This is the longest book I've written. It's one hundred 256 00:16:36,960 --> 00:16:40,600 Speaker 1: thousand words, and you probably write three or four hundred 257 00:16:40,600 --> 00:16:43,320 Speaker 1: thousand to get those hundred thousand. It's a lot of work, 258 00:16:43,360 --> 00:16:46,320 Speaker 1: a lot of solitude, a lot of but I felt 259 00:16:46,400 --> 00:16:48,880 Speaker 1: like I had to write this book. Somebody's got to 260 00:16:48,920 --> 00:16:50,000 Speaker 1: call this stuff out. Yeah. 261 00:16:50,000 --> 00:16:51,800 Speaker 4: In the book, you say, in too many instances, we've 262 00:16:51,840 --> 00:16:54,800 Speaker 4: gotten rid of the most important American trade, self determination 263 00:16:55,120 --> 00:16:57,920 Speaker 4: and replaced it with victimization. We've gotten rid of conversation 264 00:16:58,000 --> 00:16:59,440 Speaker 4: and replaced it with cancelation. 265 00:17:00,480 --> 00:17:05,960 Speaker 1: More on that, Well, this cancel culture should be a 266 00:17:06,040 --> 00:17:09,560 Speaker 1: council culture. You know, if you catch somebody with the 267 00:17:09,560 --> 00:17:12,760 Speaker 1: wrong words in their mouth, if you catch somebody that 268 00:17:13,600 --> 00:17:17,199 Speaker 1: is run a foul or some rule or some guideline 269 00:17:17,280 --> 00:17:23,720 Speaker 1: or something, this cancel culture is on them like a 270 00:17:23,760 --> 00:17:28,160 Speaker 1: pack of dogs. And you find some tweet or some 271 00:17:28,320 --> 00:17:37,480 Speaker 1: posts that somebody did years ago, and maybe they're up 272 00:17:37,480 --> 00:17:42,080 Speaker 1: for a job now, promotion now, or they're they're in entertainment, 273 00:17:42,119 --> 00:17:45,879 Speaker 1: they're going to host something or get a big part 274 00:17:46,000 --> 00:17:49,160 Speaker 1: in a movie or whatever. But it's not just entertainment people, 275 00:17:49,200 --> 00:17:54,119 Speaker 1: it's everybody. HR departments go back and find something and 276 00:17:54,359 --> 00:17:57,640 Speaker 1: drag it up now into the future. You know, when 277 00:17:57,680 --> 00:18:02,000 Speaker 1: you're fifteen, sixteen, ten years old, you're brain didn't through growing. 278 00:18:02,040 --> 00:18:06,960 Speaker 1: You do stupid stuff, you say stupid things, you get drunk. 279 00:18:07,040 --> 00:18:10,920 Speaker 1: I think we should have breathalyzers on social media where 280 00:18:10,920 --> 00:18:15,600 Speaker 1: you got to you blow point eight, You can't you 281 00:18:15,640 --> 00:18:21,679 Speaker 1: can't type, and cancel culture seizes on that and jumps 282 00:18:21,720 --> 00:18:26,440 Speaker 1: on that kind of stuff, and I think that's terrible. 283 00:18:26,480 --> 00:18:29,440 Speaker 1: It reminds me of George Orwell's nineteen eighty four where 284 00:18:29,480 --> 00:18:33,199 Speaker 1: they had language police and new speak and you can 285 00:18:33,240 --> 00:18:38,840 Speaker 1: only use these words. And I've done shows on words 286 00:18:38,920 --> 00:18:43,080 Speaker 1: we can't use anymore. And you see these colleges and 287 00:18:43,200 --> 00:18:48,919 Speaker 1: universities that, like some of these schools now don't have 288 00:18:49,040 --> 00:18:53,480 Speaker 1: admissions office to the school because that suggests somebody is 289 00:18:53,480 --> 00:18:57,679 Speaker 1: going to be rejected, so they now have office of 290 00:18:57,880 --> 00:18:59,280 Speaker 1: enrollment management. 291 00:19:00,359 --> 00:19:01,440 Speaker 5: Think it's too soft now? 292 00:19:01,600 --> 00:19:04,440 Speaker 1: I do. And I think when those kids get out 293 00:19:04,480 --> 00:19:07,240 Speaker 1: of college and get out into the dog eat dog world, 294 00:19:07,880 --> 00:19:10,840 Speaker 1: they're gonna they're gonna cheer them up and spit them. 295 00:19:10,680 --> 00:19:12,680 Speaker 4: Out, but they're not gonna go into the world. They're 296 00:19:12,680 --> 00:19:15,240 Speaker 4: gonna stay in the house and be on AI beyond, 297 00:19:15,520 --> 00:19:16,280 Speaker 4: be in the metaverse. 298 00:19:16,720 --> 00:19:18,200 Speaker 1: Yeah, that's probably right. 299 00:19:18,600 --> 00:19:19,560 Speaker 3: They're gonna create their own. 300 00:19:19,720 --> 00:19:22,320 Speaker 2: Do you think even with parenting now it's it's too soft, right? 301 00:19:22,359 --> 00:19:24,840 Speaker 2: We come from an era where it's I know, people say, 302 00:19:24,920 --> 00:19:27,480 Speaker 2: you know, if something happens, your pops or your mom 303 00:19:27,600 --> 00:19:29,119 Speaker 2: encourage you to get it back up there and go 304 00:19:29,200 --> 00:19:29,680 Speaker 2: the next day. 305 00:19:29,680 --> 00:19:32,040 Speaker 5: With now it's like it's more victimization. 306 00:19:32,880 --> 00:19:37,120 Speaker 1: Yeah, And we have these concierge parents. They fill out 307 00:19:37,160 --> 00:19:41,240 Speaker 1: the kids application for school. Uh, if he has a 308 00:19:41,280 --> 00:19:43,440 Speaker 1: con he or she has a conflict with a professor, 309 00:19:43,520 --> 00:19:48,840 Speaker 1: the parents shows up and does the argument, Uh for 310 00:19:48,960 --> 00:19:53,359 Speaker 1: the child. That's not how it works. You know, the 311 00:19:53,400 --> 00:19:56,880 Speaker 1: employer is not gonna think your kid is precious. They're 312 00:19:56,920 --> 00:20:00,720 Speaker 1: not gonna think they're the most precious little in the world. 313 00:20:01,080 --> 00:20:03,240 Speaker 1: They're going to fire their dead ass, get somebody in 314 00:20:03,280 --> 00:20:05,879 Speaker 1: there to do the job. And we're not preparing the 315 00:20:05,960 --> 00:20:08,120 Speaker 1: kid for the next level of life. And we've got 316 00:20:08,119 --> 00:20:10,399 Speaker 1: to do that. We ar getting it is too soft. 317 00:20:10,880 --> 00:20:13,160 Speaker 4: The reason I do agree that parents should be showing 318 00:20:13,200 --> 00:20:15,679 Speaker 4: up to talk to these adults sometimes because to the 319 00:20:15,720 --> 00:20:18,000 Speaker 4: point you're making in this book, Man, there's a lot 320 00:20:18,040 --> 00:20:21,120 Speaker 4: of unstable people out here. There's a lot of unstable adults. 321 00:20:21,480 --> 00:20:25,120 Speaker 4: And sometimes when I'm hearing my daughter, who's fifteen, talk 322 00:20:25,200 --> 00:20:28,359 Speaker 4: to some of these teachers, just the way she's describing 323 00:20:28,440 --> 00:20:30,080 Speaker 4: about describing. 324 00:20:29,520 --> 00:20:32,760 Speaker 3: Them, I'm like, something's not right. So I think I 325 00:20:32,840 --> 00:20:34,680 Speaker 3: need to go talk to this parent. 326 00:20:34,680 --> 00:20:37,240 Speaker 4: And I'm talking to this teacher and I've seen it firsthand, 327 00:20:37,280 --> 00:20:40,080 Speaker 4: looking in these eyes, like, yeah, something's not right there. 328 00:20:40,440 --> 00:20:45,119 Speaker 1: Yeah, you're right. We've got some people that are way 329 00:20:45,119 --> 00:20:50,560 Speaker 1: out of bounds, and parents need to step in, But 330 00:20:50,640 --> 00:20:54,320 Speaker 1: they don't need to smooth out every bump in the childhood. 331 00:20:54,880 --> 00:20:58,760 Speaker 1: Some kids, I think all kids need to fall and 332 00:20:58,800 --> 00:21:04,560 Speaker 1: scrape their knee. Kids need to resolve some issues. You know, 333 00:21:04,600 --> 00:21:07,359 Speaker 1: A kid that's been bullied a little bit, a kid 334 00:21:07,400 --> 00:21:12,080 Speaker 1: that's been experienced some failure, a kid that's been through 335 00:21:12,119 --> 00:21:16,639 Speaker 1: some tough issues is going to be better equipped for 336 00:21:16,800 --> 00:21:20,520 Speaker 1: life than a kid that's never been allowed to experience 337 00:21:20,520 --> 00:21:23,960 Speaker 1: any that. A kid that's been success only journey throughout 338 00:21:24,000 --> 00:21:29,879 Speaker 1: their life. That you know, during the pandemic, these parents 339 00:21:29,960 --> 00:21:34,520 Speaker 1: that went around wiping everything down with these sanitary wipes 340 00:21:34,560 --> 00:21:37,560 Speaker 1: and stuff. Their kids when they got back out in 341 00:21:37,600 --> 00:21:41,320 Speaker 1: the world had terrible coals and flu because their immune 342 00:21:41,320 --> 00:21:44,680 Speaker 1: system got weakened because mom was going around wiping everything 343 00:21:44,720 --> 00:21:48,680 Speaker 1: down so much that their immune system didn't have to work, 344 00:21:49,280 --> 00:21:51,360 Speaker 1: and so they were more vulnerable when they got back 345 00:21:51,359 --> 00:21:55,080 Speaker 1: out there. It's the same way with life. Have you 346 00:21:55,080 --> 00:22:01,240 Speaker 1: guys ever looked into these trigger warnings, any trigger warning, 347 00:22:01,840 --> 00:22:07,800 Speaker 1: like the majority of colleges use trigger warnings. I looked 348 00:22:07,800 --> 00:22:10,240 Speaker 1: at one the other day. They had a trigger warning 349 00:22:10,400 --> 00:22:20,200 Speaker 1: for Romeo and Juliet said, alert suicidality. Well, spoiler alert, come. 350 00:22:20,040 --> 00:22:22,199 Speaker 4: On I wonder if people would even come to that 351 00:22:22,240 --> 00:22:24,960 Speaker 4: conclusion about that movie if you didn't tell them beforehand. 352 00:22:25,320 --> 00:22:27,280 Speaker 3: Yeah, you know what I mean, you probably just watched. 353 00:22:27,040 --> 00:22:29,119 Speaker 4: The movie and get something totally different from it. But 354 00:22:29,160 --> 00:22:31,920 Speaker 4: I think that they're telling people what to feel. 355 00:22:31,760 --> 00:22:33,040 Speaker 5: Or they're protecting their own ass. 356 00:22:33,160 --> 00:22:36,520 Speaker 1: Well, here's the thing. All these trigger warnings they talk about. 357 00:22:36,920 --> 00:22:39,880 Speaker 1: You know, this might have some violence in it, This 358 00:22:39,960 --> 00:22:42,960 Speaker 1: might have something about raping it. This might have something 359 00:22:43,000 --> 00:22:50,360 Speaker 1: about sex or drugs, sex, drugs, drug addicts, addiction, or whatever. 360 00:22:51,600 --> 00:22:54,879 Speaker 1: The truth is, there's been a there is a big 361 00:22:54,920 --> 00:22:59,159 Speaker 1: body of research about this that says trigger warnings do 362 00:22:59,320 --> 00:23:05,120 Speaker 1: not work. In fact, trigger warnings create the anxiety that 363 00:23:05,160 --> 00:23:08,639 Speaker 1: they're trying to keep you away from. Just seeing the 364 00:23:08,680 --> 00:23:13,560 Speaker 1: trigger warning creates the anxiety. Not only do they not work, 365 00:23:14,040 --> 00:23:20,359 Speaker 1: they're a negative. And the fact is there's a there's 366 00:23:20,440 --> 00:23:25,600 Speaker 1: evidence and what we call evidence based treatments that say, 367 00:23:26,240 --> 00:23:31,120 Speaker 1: that's not how you handle that. If somebody is sensitized 368 00:23:31,160 --> 00:23:34,520 Speaker 1: to that sort of thing, what you do? There are 369 00:23:34,560 --> 00:23:39,359 Speaker 1: treatments for that. There's evidence based therapies such as systematic desensitization, 370 00:23:40,080 --> 00:23:44,959 Speaker 1: immersion therapy, dialectical behavior therapy where you teach someone to 371 00:23:45,040 --> 00:23:48,439 Speaker 1: learn to cope with it. You don't put them in 372 00:23:48,480 --> 00:23:50,720 Speaker 1: another room so they can avoid it, because when they 373 00:23:50,720 --> 00:23:52,040 Speaker 1: get out in life, they're not gonna be able to 374 00:23:52,040 --> 00:23:55,440 Speaker 1: avoid it. So you teach them coping skills so when 375 00:23:55,480 --> 00:23:59,000 Speaker 1: it pops up, they know how to handle that. So 376 00:23:59,520 --> 00:24:02,320 Speaker 1: there's a huge body of literature out there that says 377 00:24:02,320 --> 00:24:07,480 Speaker 1: trigger warnings don't work. Those colleges have the same access 378 00:24:07,560 --> 00:24:10,720 Speaker 1: to that literature that I do, which means they know 379 00:24:11,240 --> 00:24:13,920 Speaker 1: they don't work, just like I know they don't work. 380 00:24:14,080 --> 00:24:18,280 Speaker 1: But yet they continue to use them. Why they're virtue signaling. 381 00:24:19,080 --> 00:24:21,880 Speaker 1: They're just trying to show, Hey, we're super sensitive over here, 382 00:24:21,960 --> 00:24:26,040 Speaker 1: so come give us your money. And I think they 383 00:24:26,200 --> 00:24:30,560 Speaker 1: know they're doing the kid wrong, they know they're doing 384 00:24:30,600 --> 00:24:31,959 Speaker 1: the student wrong. They do it anyway. 385 00:24:32,520 --> 00:24:34,000 Speaker 4: I want to go back to the border right because 386 00:24:34,160 --> 00:24:36,480 Speaker 4: you called out the Vice President Kamala Harris and the 387 00:24:36,520 --> 00:24:39,280 Speaker 4: Biden border crisis, and you called it the humanitarian crisis 388 00:24:39,320 --> 00:24:43,439 Speaker 4: unlike anything we've ever seen before. Is it fair to 389 00:24:43,480 --> 00:24:46,000 Speaker 4: blame Justice administration for what's going on? 390 00:24:46,000 --> 00:24:48,760 Speaker 1: To the board, No, And I didn't call them out. 391 00:24:48,880 --> 00:24:52,879 Speaker 1: I said the current administration is doing it about this 392 00:24:52,960 --> 00:24:59,080 Speaker 1: started under the previous administration, it started jumping up. Nobody's 393 00:24:59,119 --> 00:25:03,879 Speaker 1: handled this. The Republicans haven't handled it, the Democrats haven't 394 00:25:03,880 --> 00:25:08,760 Speaker 1: handled it. It's gotten worse now because there was an 395 00:25:08,920 --> 00:25:12,399 Speaker 1: order in place to hold in Mexico. They took that 396 00:25:12,600 --> 00:25:16,920 Speaker 1: down and so they don't stop them in Mexico now. 397 00:25:17,359 --> 00:25:23,520 Speaker 1: So that caused an influx. But this has never been 398 00:25:23,560 --> 00:25:27,800 Speaker 1: a healthy situation. And I'll tell you why. For years. 399 00:25:28,920 --> 00:25:30,760 Speaker 1: If you, let's say, you want to do it right, 400 00:25:32,720 --> 00:25:37,359 Speaker 1: so you process in, you ask for you know, the 401 00:25:39,720 --> 00:25:43,000 Speaker 1: proper you go through the proper channels, and so you're 402 00:25:43,040 --> 00:25:45,760 Speaker 1: going to get a court date. The average is at 403 00:25:45,880 --> 00:25:53,480 Speaker 1: least seven years. If you truly are concerned for your 404 00:25:53,480 --> 00:25:58,480 Speaker 1: family safety and well being, who's going to wait seven years? Yeah, 405 00:25:58,680 --> 00:26:02,800 Speaker 1: I'm at you say, I'm as here and so I 406 00:26:02,840 --> 00:26:07,560 Speaker 1: need I need help. I need to get out of this. 407 00:26:07,680 --> 00:26:11,280 Speaker 1: I'm in danger. I need to come here for help. 408 00:26:13,280 --> 00:26:17,919 Speaker 1: It's great, here's your court date. Check back with us 409 00:26:17,960 --> 00:26:22,960 Speaker 1: in seven years. If they're truly in a dangerous situation, 410 00:26:23,440 --> 00:26:25,919 Speaker 1: chances are pretty good they'll be dead in seven years. 411 00:26:26,480 --> 00:26:31,560 Speaker 1: You can't give people a seven year date and expect 412 00:26:31,600 --> 00:26:35,240 Speaker 1: them to just say, okay, well we'll go back and 413 00:26:35,280 --> 00:26:40,440 Speaker 1: get shot at or starved, or go through all of 414 00:26:40,480 --> 00:26:42,840 Speaker 1: the dangers that we're going through. What do you expect 415 00:26:42,840 --> 00:26:46,240 Speaker 1: people to do? If I was in another country and 416 00:26:46,359 --> 00:26:49,240 Speaker 1: I truly felt like they were going to come around 417 00:26:49,520 --> 00:26:53,400 Speaker 1: with jack boots and kick my door in and kill 418 00:26:53,480 --> 00:26:56,399 Speaker 1: my children or me or put us all in jail 419 00:26:57,080 --> 00:26:59,520 Speaker 1: or whatever you be. Mice would be in that river. 420 00:27:00,400 --> 00:27:02,120 Speaker 1: That's what it took. I'm going to protect my family. 421 00:27:02,160 --> 00:27:04,840 Speaker 1: Wouldn't you absolutely do whatever you have to do. We 422 00:27:04,920 --> 00:27:08,600 Speaker 1: can't cross system the exactly. You can't create a system 423 00:27:08,640 --> 00:27:11,680 Speaker 1: that's broken and then criticize people for doing what they 424 00:27:11,680 --> 00:27:14,320 Speaker 1: have to do to save them selves down. A lot 425 00:27:14,359 --> 00:27:17,360 Speaker 1: of people aren't really in that situation. They just say 426 00:27:17,359 --> 00:27:20,600 Speaker 1: they are. But how do you sort that out? Well, 427 00:27:20,600 --> 00:27:22,880 Speaker 1: the first thing you do is, we don't need eighty 428 00:27:22,960 --> 00:27:26,520 Speaker 1: six thousand new IRS agents. How about eighty six thousand 429 00:27:27,080 --> 00:27:31,000 Speaker 1: new people in the in the border system where we 430 00:27:31,080 --> 00:27:34,040 Speaker 1: can process people and get them in here. Right A, 431 00:27:34,320 --> 00:27:38,000 Speaker 1: we need them and by they want to come here, 432 00:27:38,840 --> 00:27:41,960 Speaker 1: let's let's meet people where they are, let's accommodate their needs, 433 00:27:42,000 --> 00:27:42,800 Speaker 1: let's get them here. 434 00:27:42,880 --> 00:27:46,080 Speaker 4: But you know that's also the other issue, right A 435 00:27:46,119 --> 00:27:48,600 Speaker 4: lot of people in this country feel like they're accommodating 436 00:27:48,640 --> 00:27:51,199 Speaker 4: the needs of the migrants more so and accommodating the 437 00:27:51,200 --> 00:27:54,320 Speaker 4: needs of the everyday American. They're looking at these migrants 438 00:27:54,320 --> 00:27:57,639 Speaker 4: and they feel like they're getting basic necessities like shelter, 439 00:27:58,240 --> 00:28:02,040 Speaker 4: you know, like like food, and they're starving in the 440 00:28:02,080 --> 00:28:05,399 Speaker 4: cities that they're in. That's the other issue that's popping 441 00:28:05,440 --> 00:28:05,760 Speaker 4: up now. 442 00:28:06,119 --> 00:28:09,520 Speaker 1: And that's true in some situations. I mean they are 443 00:28:10,920 --> 00:28:15,560 Speaker 1: it is a crisis. So they're saying, your situation, you've 444 00:28:15,560 --> 00:28:17,760 Speaker 1: found a way to get from day to day to day. 445 00:28:17,840 --> 00:28:20,120 Speaker 1: These people are showing up and they're standing in the rain. 446 00:28:20,920 --> 00:28:24,679 Speaker 1: That's a humanitarian crisis. So we're reacting to the America. 447 00:28:24,800 --> 00:28:31,600 Speaker 1: Of course, of course it is. And two wrongs don't 448 00:28:31,600 --> 00:28:33,639 Speaker 1: make a right. You can't leave these people standing in 449 00:28:33,640 --> 00:28:36,080 Speaker 1: the rain. You've been ignoring these people all this time. 450 00:28:36,680 --> 00:28:38,320 Speaker 1: Those two wrongs don't make a right. 451 00:28:38,520 --> 00:28:40,959 Speaker 4: Yeah, America does not do a good job at solving 452 00:28:41,000 --> 00:28:41,840 Speaker 4: problems at all. 453 00:28:42,440 --> 00:28:46,440 Speaker 1: Yeah. I put forth in the book ten principles for 454 00:28:46,480 --> 00:28:50,320 Speaker 1: a healthy society, and one of them is stop trying 455 00:28:50,360 --> 00:28:55,400 Speaker 1: to win arguments and focus on solving problems. And there's 456 00:28:55,440 --> 00:29:01,200 Speaker 1: a huge difference between winning an argument and actually solving 457 00:29:01,240 --> 00:29:02,800 Speaker 1: a problem. If you're going to solve a problem, and 458 00:29:02,840 --> 00:29:05,840 Speaker 1: you can tell when you're talking to somebody whether they're 459 00:29:05,880 --> 00:29:09,680 Speaker 1: trying to win an argument or they're actually trying to 460 00:29:09,720 --> 00:29:14,800 Speaker 1: come up with an action oriented solution to change a situation. 461 00:29:15,120 --> 00:29:20,840 Speaker 1: If it's the latter, they'll sit down and say, Okay, first, 462 00:29:20,920 --> 00:29:25,000 Speaker 1: let's see what we agree on. I know we have differences, 463 00:29:25,000 --> 00:29:28,120 Speaker 1: but let's see what we agree on. Now, how can 464 00:29:28,200 --> 00:29:31,480 Speaker 1: I help you get what you need? How can you 465 00:29:31,560 --> 00:29:36,200 Speaker 1: help me get what I think is important? And let's 466 00:29:36,360 --> 00:29:41,800 Speaker 1: come up with some action steps to change this versus 467 00:29:41,960 --> 00:29:46,720 Speaker 1: yelling at each other or being a right fighter. If 468 00:29:47,200 --> 00:29:49,000 Speaker 1: you put a gun to their head and said all right, 469 00:29:50,240 --> 00:29:53,760 Speaker 1: you need to come up with an action plan in 470 00:29:54,560 --> 00:29:57,640 Speaker 1: five hours or we're going to pull the trigger, I 471 00:29:57,680 --> 00:30:01,959 Speaker 1: guarantee you things would get done. Yeah. Now, we just 472 00:30:02,000 --> 00:30:04,240 Speaker 1: can't do that. But the problem is we got people 473 00:30:04,280 --> 00:30:06,600 Speaker 1: in charge of solving problems that don't really want to 474 00:30:06,640 --> 00:30:10,960 Speaker 1: solve them because their job depends on having that problem. 475 00:30:11,040 --> 00:30:14,720 Speaker 1: They need that problem justify their existence. They need that 476 00:30:14,880 --> 00:30:20,000 Speaker 1: problem to maintain this huge bureaucracy, to maintain this big budget, 477 00:30:20,080 --> 00:30:24,040 Speaker 1: this big agency. They need that problem to exist. I 478 00:30:24,080 --> 00:30:26,560 Speaker 1: think we've got people in charge of solving problems that 479 00:30:26,600 --> 00:30:28,040 Speaker 1: are not problem solvers. 480 00:30:28,440 --> 00:30:30,360 Speaker 4: Who you think would be the best person to solve 481 00:30:30,400 --> 00:30:33,280 Speaker 4: the problem at the board to trum Trumpelbiden. 482 00:30:36,000 --> 00:30:38,000 Speaker 1: I don't think either one of them made any traction 483 00:30:38,120 --> 00:30:40,800 Speaker 1: on it. I think you need to get somebody down there. 484 00:30:41,840 --> 00:30:45,960 Speaker 1: I think if the government would step back and let 485 00:30:46,000 --> 00:30:49,760 Speaker 1: somebody go down there that had a budget and was 486 00:30:49,800 --> 00:30:54,200 Speaker 1: accountable for it, you could work this out. You could 487 00:30:54,200 --> 00:30:58,400 Speaker 1: work this out. It's you know, the government gets involved, 488 00:30:58,880 --> 00:31:01,160 Speaker 1: and that's why they pay three hundred and forty five 489 00:31:01,200 --> 00:31:05,360 Speaker 1: dollars for ten dollars hammer. If you've got somebody involved 490 00:31:05,400 --> 00:31:09,240 Speaker 1: that's accountable to the bottom line, they would figure this out. 491 00:31:10,000 --> 00:31:12,280 Speaker 1: You would vet these people, get them in here and 492 00:31:12,320 --> 00:31:14,880 Speaker 1: put them to work. We need the people, We need 493 00:31:14,880 --> 00:31:22,840 Speaker 1: the workers. We need the workers. This is such a 494 00:31:22,960 --> 00:31:28,840 Speaker 1: difficult situation, but is also a solution to an important problem. 495 00:31:28,920 --> 00:31:32,680 Speaker 1: We need these migrants in America. We need them. 496 00:31:32,720 --> 00:31:34,400 Speaker 2: A lot of people say, why do you think People 497 00:31:34,440 --> 00:31:36,760 Speaker 2: say that, you know, the migrant's taking our jobs. 498 00:31:37,480 --> 00:31:43,600 Speaker 1: Well, you know, they may be taking some jobs at 499 00:31:43,600 --> 00:31:52,120 Speaker 1: the low low end of the employment continuum, but I 500 00:31:52,160 --> 00:31:55,960 Speaker 1: think that is much less of a problem than people 501 00:31:56,040 --> 00:31:59,680 Speaker 1: really think it is. And a lot of these migrants 502 00:31:59,720 --> 00:32:03,280 Speaker 1: coming in are a lot more educated than people think 503 00:32:03,320 --> 00:32:07,000 Speaker 1: they are. I mean they're they're coming in with a 504 00:32:07,000 --> 00:32:09,280 Speaker 1: lot of them are coming in with bachelor's degrees. A 505 00:32:09,320 --> 00:32:13,320 Speaker 1: lot of them are coming in with skill sets uh 506 00:32:13,640 --> 00:32:20,960 Speaker 1: in in carpentry, plumbing, electrical that really have something to contribute. 507 00:32:22,160 --> 00:32:28,160 Speaker 1: And we've got a supply chain that's paralyzed, You've got 508 00:32:29,280 --> 00:32:32,720 Speaker 1: problems getting capacitors, you've got you've got all kinds of 509 00:32:32,760 --> 00:32:41,280 Speaker 1: things that have slowed down commerce that so many migrants 510 00:32:41,320 --> 00:32:41,840 Speaker 1: could help. 511 00:32:42,400 --> 00:32:47,360 Speaker 4: Why do people act like what's happening currently in America 512 00:32:47,800 --> 00:32:48,440 Speaker 4: is normal? 513 00:32:49,240 --> 00:32:49,320 Speaker 1: Like? 514 00:32:49,360 --> 00:32:51,000 Speaker 3: Why are we acting like this? All of this stuff 515 00:32:51,080 --> 00:32:51,440 Speaker 3: is normal? 516 00:32:51,440 --> 00:32:53,880 Speaker 4: It's like this especially in politics, Like you got a 517 00:32:53,880 --> 00:32:59,280 Speaker 4: guy who's got ninety one criminal charges for foreigndictments too, impeachments, 518 00:32:59,640 --> 00:33:02,360 Speaker 4: you know, lettingn attempted call it his country, Like why 519 00:33:02,360 --> 00:33:05,360 Speaker 4: are we acting like this is just business as usual? 520 00:33:06,680 --> 00:33:12,000 Speaker 1: I think part of it is I've got a study 521 00:33:12,040 --> 00:33:14,360 Speaker 1: that I talk about in the book that goes back 522 00:33:14,400 --> 00:33:20,480 Speaker 1: to nineteen fifty and compares it to now. The percentage 523 00:33:20,520 --> 00:33:25,360 Speaker 1: of people that are afraid to express their opinion has 524 00:33:25,560 --> 00:33:29,960 Speaker 1: tripled in the last seventy five years. People are afraid 525 00:33:30,000 --> 00:33:30,640 Speaker 1: to speak up. 526 00:33:30,760 --> 00:33:33,600 Speaker 4: That's your principal number six, right, Yeah, yeah, And I 527 00:33:33,600 --> 00:33:35,280 Speaker 4: say salentges so this can remain comfortable. 528 00:33:35,360 --> 00:33:39,760 Speaker 1: Yeah, because now people say, if I say something, it's 529 00:33:39,760 --> 00:33:42,640 Speaker 1: gonna piss somebody off and they're gonna come after me. 530 00:33:43,120 --> 00:33:45,680 Speaker 1: I'm better off just keep my mouth, shut my head down. 531 00:33:46,040 --> 00:33:49,960 Speaker 1: I'm not gonna say anything. I'm not gonna say anything now. 532 00:33:50,000 --> 00:33:54,840 Speaker 1: I don't talk politics for a different reason. I don't 533 00:33:54,840 --> 00:33:57,920 Speaker 1: know enough about it to talk about it. I don't 534 00:33:57,920 --> 00:33:59,440 Speaker 1: think a lot of people that talk about it know 535 00:33:59,520 --> 00:34:01,320 Speaker 1: enough about it talk about it. I'm just willing to 536 00:34:01,360 --> 00:34:01,800 Speaker 1: admit it. 537 00:34:01,960 --> 00:34:04,120 Speaker 3: But you've got common sense, though, you know right from wrong. 538 00:34:04,280 --> 00:34:08,960 Speaker 4: I do, and I know policies and legislations and all that, 539 00:34:09,000 --> 00:34:11,759 Speaker 4: but we can look with our eyeballs and see when 540 00:34:11,840 --> 00:34:12,680 Speaker 4: something isn't right. 541 00:34:13,040 --> 00:34:17,719 Speaker 1: Yeah, it's you know, That's what I said when Hamas 542 00:34:19,320 --> 00:34:27,399 Speaker 1: attacked Israel. I don't know geopolitics. I don't know all 543 00:34:27,440 --> 00:34:31,000 Speaker 1: of that, and I don't know the several thousand year 544 00:34:31,160 --> 00:34:35,120 Speaker 1: history of that part of the world. But I know 545 00:34:35,600 --> 00:34:41,200 Speaker 1: when an infant is murdered in their crib, that's wrong. 546 00:34:42,160 --> 00:34:45,200 Speaker 1: I don't. Yeah, I don't need to be a politician 547 00:34:45,280 --> 00:34:48,719 Speaker 1: to know that's wrong. And when I was listening to 548 00:34:48,800 --> 00:34:51,399 Speaker 1: all that and I was going to speak on it, 549 00:34:53,719 --> 00:34:57,839 Speaker 1: I talked to the Israeli Consulates that I am going 550 00:34:57,920 --> 00:35:01,319 Speaker 1: to speak on this because I think it's terrible. I 551 00:35:01,360 --> 00:35:05,680 Speaker 1: was hearing things on college campuses that were so close 552 00:35:05,760 --> 00:35:10,600 Speaker 1: to what the Hitler youth rallies were saying. I thought 553 00:35:10,600 --> 00:35:13,239 Speaker 1: I'd never hear that in my lifetime, but I said, 554 00:35:13,320 --> 00:35:15,719 Speaker 1: I got to see this with my own eyes. I 555 00:35:15,760 --> 00:35:22,120 Speaker 1: can't go just on hearsay. And so the IDF, Israeli 556 00:35:22,160 --> 00:35:26,440 Speaker 1: Consolate and the Israeli Defense Force came to my house 557 00:35:27,480 --> 00:35:34,399 Speaker 1: underguard with classified footage and showed me what had gone 558 00:35:34,480 --> 00:35:39,040 Speaker 1: on in that invasion, with footage that's still not been released. 559 00:35:40,239 --> 00:35:44,759 Speaker 1: And I knew then that what I was hearing was 560 00:35:44,760 --> 00:35:45,760 Speaker 1: was true and accurate. 561 00:35:46,120 --> 00:35:48,919 Speaker 4: But then you got Gossham where it's thirty thousand dead 562 00:35:48,960 --> 00:35:53,040 Speaker 4: in Gossam. They say mostly those people are women and children. 563 00:35:53,480 --> 00:35:54,960 Speaker 4: So it's just like it's the same. 564 00:35:55,080 --> 00:35:56,120 Speaker 1: You know, No, it's not the same. 565 00:35:56,160 --> 00:35:56,879 Speaker 3: You don't think it's the same. 566 00:35:57,160 --> 00:36:00,640 Speaker 1: Hell no, it's not the same. Someone one that is 567 00:36:00,840 --> 00:36:05,960 Speaker 1: killed in an act of war. Dropping a bomb and 568 00:36:06,000 --> 00:36:13,120 Speaker 1: there's collateral damage is not the same as invaders coming 569 00:36:13,160 --> 00:36:20,560 Speaker 1: in and attacking non combatants and killing children in their beds. 570 00:36:21,239 --> 00:36:23,400 Speaker 1: That there's no moral equivalent to that. 571 00:36:23,640 --> 00:36:26,120 Speaker 4: You don't think that we should at least try to 572 00:36:26,200 --> 00:36:27,120 Speaker 4: protect the innocent. 573 00:36:27,360 --> 00:36:32,440 Speaker 1: Absolutely, But you can't invade and then go back and 574 00:36:32,640 --> 00:36:37,200 Speaker 1: hide in a school and say, okay, here I am, 575 00:36:37,600 --> 00:36:39,640 Speaker 1: so you can't you can't attack me now because I'm 576 00:36:39,719 --> 00:36:42,239 Speaker 1: hiding in a school. No, you can't hide in a 577 00:36:42,320 --> 00:36:47,640 Speaker 1: school and be safe. And if you did, first off, 578 00:36:47,640 --> 00:36:51,680 Speaker 1: that's a war crime to do that, and you can't 579 00:36:51,719 --> 00:36:56,680 Speaker 1: do that. Is it terrible that all of these people 580 00:36:56,719 --> 00:37:01,520 Speaker 1: are being killed Palestinians in the Gaza. Is that's horrible? 581 00:37:02,360 --> 00:37:06,120 Speaker 1: And I think every effort needs to be made to 582 00:37:06,239 --> 00:37:10,680 Speaker 1: minimize that, to hold that down, and anything that can 583 00:37:10,760 --> 00:37:15,439 Speaker 1: be done to make surgical assaults and get into those 584 00:37:15,480 --> 00:37:23,959 Speaker 1: tunnels and do everything you can to not harm civilians, 585 00:37:24,120 --> 00:37:28,200 Speaker 1: certainly children or whatever. That you should be held to 586 00:37:28,280 --> 00:37:32,640 Speaker 1: the highest possible standard in that regard. 587 00:37:32,880 --> 00:37:34,480 Speaker 4: So if we saw that at America, if somebody went 588 00:37:34,560 --> 00:37:37,000 Speaker 4: to a school a mass shooter, and you know, the 589 00:37:37,040 --> 00:37:39,040 Speaker 4: people showed up in the school and they said, hey, 590 00:37:39,040 --> 00:37:40,839 Speaker 4: we got to blow up the whole school in order 591 00:37:40,880 --> 00:37:41,680 Speaker 4: to get the mass shooter. 592 00:37:41,960 --> 00:37:43,560 Speaker 3: We would not go for that doctor. 593 00:37:43,520 --> 00:37:46,200 Speaker 1: Of course, not, of course not. That would be horrible 594 00:37:47,680 --> 00:37:52,839 Speaker 1: and unacceptable. You can't do that. But you can't let 595 00:37:52,880 --> 00:37:56,880 Speaker 1: these people come and do what they did and then 596 00:37:57,000 --> 00:38:02,439 Speaker 1: run back and hide among innocent people. And everybody says, 597 00:38:02,440 --> 00:38:05,640 Speaker 1: well, we need a ceasefire. We had a ceasefire on October sixth, 598 00:38:06,920 --> 00:38:10,759 Speaker 1: we had a ceasefire. Then on October seventh they did this. 599 00:38:11,040 --> 00:38:15,600 Speaker 1: So what are you supposed to do? You have to 600 00:38:15,680 --> 00:38:20,400 Speaker 1: try to root these people out, and there's not a 601 00:38:20,560 --> 00:38:23,920 Speaker 1: there's not an easy way to do that. And I 602 00:38:26,480 --> 00:38:30,160 Speaker 1: hope and pray the Palestinians will run Hamas out of 603 00:38:30,200 --> 00:38:36,319 Speaker 1: there and and you know, get them out because I 604 00:38:36,320 --> 00:38:40,160 Speaker 1: don't think it's about Palestine. I think it's about Iran. 605 00:38:40,440 --> 00:38:44,440 Speaker 1: But I'm not a politician, and I certainly don't understand 606 00:38:44,719 --> 00:38:50,440 Speaker 1: the geopolitical forces that are there. And what bothers me 607 00:38:50,520 --> 00:38:56,320 Speaker 1: as much as anything is that we've got American students 608 00:38:56,360 --> 00:39:01,560 Speaker 1: that are cheering on these murderers. I mean instantly I 609 00:39:02,440 --> 00:39:07,600 Speaker 1: saw a sign, you know, gaze for Palestine. Well, games 610 00:39:07,600 --> 00:39:10,080 Speaker 1: would get killed and walk that into the guys the 611 00:39:10,120 --> 00:39:12,359 Speaker 1: strip and see how far you get me? Are they 612 00:39:12,440 --> 00:39:13,960 Speaker 1: not teaching them critical thinking? 613 00:39:15,760 --> 00:39:17,920 Speaker 4: No, I don't that That goes back to what we're 614 00:39:17,920 --> 00:39:20,040 Speaker 4: talking about with social media. I truly feel like a 615 00:39:20,040 --> 00:39:22,920 Speaker 4: lot of folks go on social media and they go 616 00:39:23,000 --> 00:39:26,320 Speaker 4: on there to see how they should feel about something, 617 00:39:26,800 --> 00:39:28,319 Speaker 4: like how you can sit here and say I don't 618 00:39:28,320 --> 00:39:29,759 Speaker 4: know about this issue, or I can say I don't 619 00:39:29,760 --> 00:39:30,560 Speaker 4: know about the issue. 620 00:39:30,760 --> 00:39:31,520 Speaker 3: They won't do that. 621 00:39:31,560 --> 00:39:33,160 Speaker 4: They'll go on social media and see what the math 622 00:39:33,239 --> 00:39:36,480 Speaker 4: majority of people on social media are thinking about something, 623 00:39:36,480 --> 00:39:39,440 Speaker 4: and they start parroting those talking points. And that's not 624 00:39:39,480 --> 00:39:42,000 Speaker 4: just with that situation, that's just with a lot of situations. 625 00:39:42,480 --> 00:39:49,400 Speaker 1: Well, I saw a staff the other day that and 626 00:39:50,360 --> 00:39:55,160 Speaker 1: I probably shouldn't go into much detail on it because 627 00:39:55,200 --> 00:39:59,280 Speaker 1: I don't have the resource at the front of my brain. 628 00:40:00,280 --> 00:40:05,120 Speaker 1: But a scary number, I mean, I'm talking way over 629 00:40:05,160 --> 00:40:09,840 Speaker 1: fifty percent of young people get one hundred percent of 630 00:40:09,880 --> 00:40:12,040 Speaker 1: their news from TikTok. 631 00:40:12,320 --> 00:40:13,680 Speaker 3: Jesus Christ. That's horrible. 632 00:40:14,560 --> 00:40:17,120 Speaker 1: One hundred percent of their news, not like they get 633 00:40:17,280 --> 00:40:20,920 Speaker 1: some and they don't verify it. One hundred percent of 634 00:40:20,960 --> 00:40:25,680 Speaker 1: their news from TikTok. And I put a clip up 635 00:40:25,760 --> 00:40:29,760 Speaker 1: of my trip to the border. Just a small clip. 636 00:40:30,640 --> 00:40:35,520 Speaker 1: It was maybe twenty seconds, thirty seconds. I posted it 637 00:40:35,640 --> 00:40:41,839 Speaker 1: up on Facebook and Instagram and it was a part 638 00:40:41,880 --> 00:40:46,040 Speaker 1: of me talking to him about trafficking these children, and 639 00:40:47,320 --> 00:40:52,640 Speaker 1: maybe fifteen eighteen seconds, and it was up about fifty 640 00:40:52,719 --> 00:40:57,120 Speaker 1: minutes and going viral super fast. I mean, like tens 641 00:40:57,120 --> 00:41:00,400 Speaker 1: of thousands of views in a matter of just a 642 00:41:00,400 --> 00:41:04,000 Speaker 1: few minutes. It was just going just straight vertical and 643 00:41:04,040 --> 00:41:10,759 Speaker 1: then bang, it just stopped. I mean it didn't like 644 00:41:11,000 --> 00:41:15,279 Speaker 1: slow down or like people lost interest in it. It 645 00:41:15,520 --> 00:41:26,480 Speaker 1: stopped and got it got shut down. Wow, they just 646 00:41:26,640 --> 00:41:30,240 Speaker 1: the algorithm. They just shut it down and you couldn't 647 00:41:30,280 --> 00:41:30,600 Speaker 1: see it. 648 00:41:30,719 --> 00:41:32,960 Speaker 4: That happens to a lot of our content too, especially 649 00:41:33,040 --> 00:41:34,959 Speaker 4: anytime you're talking politics and anything like that. 650 00:41:35,600 --> 00:41:37,600 Speaker 3: YouTube has been suppressing us for some years. 651 00:41:37,800 --> 00:41:40,279 Speaker 1: Yeah, it was shut down on the YouTube and it 652 00:41:40,320 --> 00:41:42,960 Speaker 1: was shut down on YouTube, Instagram, Facebook. How do you 653 00:41:42,960 --> 00:41:43,680 Speaker 1: feel about that? 654 00:41:45,400 --> 00:41:47,399 Speaker 4: I feel like what you said in chapter seven, we're 655 00:41:47,440 --> 00:41:50,400 Speaker 4: doing our enemies work for them, because you know, you're 656 00:41:50,440 --> 00:41:52,920 Speaker 4: stifling freedom of speech and you're you know, not letting 657 00:41:52,920 --> 00:41:56,600 Speaker 4: people see the truth for themselves, and you're just letting 658 00:41:56,640 --> 00:42:00,239 Speaker 4: them run with this false information that maybe out they're 659 00:42:00,280 --> 00:42:03,120 Speaker 4: on social media about a lot of these these things 660 00:42:03,160 --> 00:42:04,400 Speaker 4: that we're talking about. 661 00:42:06,000 --> 00:42:11,319 Speaker 1: That's see, here's the thing. We're guaranteed free speech under 662 00:42:11,320 --> 00:42:13,800 Speaker 1: the First Amendment, but what it says is the government 663 00:42:13,840 --> 00:42:20,239 Speaker 1: will pass no law. Okay, and the government hasn't. We're 664 00:42:20,280 --> 00:42:24,560 Speaker 1: doing this to each other. We're muzzling each other. What 665 00:42:24,600 --> 00:42:27,680 Speaker 1: the hell is up with that? Right, We're mussling each other. 666 00:42:28,760 --> 00:42:32,680 Speaker 1: That's what's so disturbing to me. And you said, you 667 00:42:33,160 --> 00:42:38,640 Speaker 1: asked the question that I should have been asking a 668 00:42:38,680 --> 00:42:40,719 Speaker 1: long time ago, So I'll probably steal that and take 669 00:42:40,760 --> 00:42:44,640 Speaker 1: credit when you're not around. Why are we acting like 670 00:42:44,680 --> 00:42:45,400 Speaker 1: this as normal? 671 00:42:45,560 --> 00:42:47,960 Speaker 3: Yeah, we have. 672 00:42:48,080 --> 00:42:51,760 Speaker 1: This going on. You know, they're shutting down y'all's content. 673 00:42:51,840 --> 00:42:54,399 Speaker 1: They're shutting down my content. And they shut it down 674 00:42:54,440 --> 00:42:58,960 Speaker 1: because it was border and children and it and people 675 00:42:59,000 --> 00:43:01,520 Speaker 1: were getting up so by the oh no, we can't, 676 00:43:01,920 --> 00:43:05,960 Speaker 1: we can't have this, we can't have this. And this 677 00:43:06,120 --> 00:43:13,160 Speaker 1: wasn't me out there spewing hate or something. And it 678 00:43:13,280 --> 00:43:19,640 Speaker 1: was really interesting. I think what feeds the what feeds 679 00:43:19,640 --> 00:43:22,440 Speaker 1: the algorithm sometimes and gets it on the attention of 680 00:43:22,440 --> 00:43:27,319 Speaker 1: the people that go nope, is fifteen percent of the 681 00:43:27,480 --> 00:43:31,040 Speaker 1: comments that we went our cyber security people went in 682 00:43:31,080 --> 00:43:34,920 Speaker 1: and looked at this. I can I can show it 683 00:43:34,920 --> 00:43:37,840 Speaker 1: to you. Fifteen percent of the comments were from a 684 00:43:38,080 --> 00:43:43,360 Speaker 1: Chinese website that's locked. You can't get into it. But 685 00:43:43,400 --> 00:43:47,359 Speaker 1: it's from a Chinese website that was posting this stuff up, 686 00:43:47,520 --> 00:43:49,960 Speaker 1: probably saying this is horrible, should be taken down, horrible 687 00:43:50,000 --> 00:43:52,360 Speaker 1: taking down, horl taken down, but you can't get it. 688 00:43:52,880 --> 00:43:55,240 Speaker 1: It's in Chinese and my Chinese is a little rusty, 689 00:43:56,960 --> 00:43:59,120 Speaker 1: but you can pull up the site, but you can't 690 00:43:59,160 --> 00:44:01,759 Speaker 1: get on it's locked. And fifteen percent of the comments 691 00:44:01,840 --> 00:44:07,920 Speaker 1: on that video we're from it from one Chinese website. 692 00:44:07,960 --> 00:44:08,920 Speaker 3: We've done that before. 693 00:44:08,960 --> 00:44:11,479 Speaker 4: We've looked at uh, like you know, you'll see these 694 00:44:11,920 --> 00:44:14,560 Speaker 4: attacks that will happen sometimes, you know, and people will 695 00:44:14,560 --> 00:44:16,960 Speaker 4: be saying certain things, you like, where's this narrative coming from? 696 00:44:17,040 --> 00:44:20,359 Speaker 4: And so we've done like a digital forensics and it's 697 00:44:20,360 --> 00:44:21,200 Speaker 4: been the same thing. 698 00:44:21,239 --> 00:44:23,760 Speaker 3: Like a bunch of bots from India. 699 00:44:24,400 --> 00:44:29,239 Speaker 1: Yeah, and people think that when we talk about bots 700 00:44:29,560 --> 00:44:32,240 Speaker 1: that you know, you got somebody in their grandmother's basement 701 00:44:32,800 --> 00:44:36,799 Speaker 1: and they've got like ten phony accounts or something. These 702 00:44:36,920 --> 00:44:39,759 Speaker 1: bot farms are in the millions, that's right. 703 00:44:39,960 --> 00:44:41,799 Speaker 3: They do camp, it's a campaign. People will go hire 704 00:44:41,800 --> 00:44:42,880 Speaker 3: people to do campaigns. 705 00:44:43,000 --> 00:44:47,840 Speaker 1: Yeah, and it's in the millions. And they change and 706 00:44:47,920 --> 00:44:51,920 Speaker 1: some of these these bots, these phony accounts are like 707 00:44:52,080 --> 00:44:55,000 Speaker 1: ten or twelve years old, and they have followers and 708 00:44:55,440 --> 00:44:59,000 Speaker 1: they follow each other. It's it's all intertwined. So I'm 709 00:44:59,000 --> 00:45:03,640 Speaker 1: gonna sound like anspiracy theorist here, but this is totally verifiable. 710 00:45:04,320 --> 00:45:09,600 Speaker 1: And they'll just change the content that they're putting out. 711 00:45:10,080 --> 00:45:14,000 Speaker 1: It can be, you know, about the economy, and then 712 00:45:14,040 --> 00:45:17,640 Speaker 1: it can be about hate speech, or it can be 713 00:45:17,680 --> 00:45:21,160 Speaker 1: about they just change what they talk about. But they're 714 00:45:21,200 --> 00:45:25,880 Speaker 1: in the million. And if you if you say something 715 00:45:25,960 --> 00:45:29,319 Speaker 1: that's controversial and they put a bot farm after you, 716 00:45:29,360 --> 00:45:32,000 Speaker 1: then all of a sudden, it seems like the entire 717 00:45:32,120 --> 00:45:37,200 Speaker 1: world hates this woman. And if you parse out all 718 00:45:37,239 --> 00:45:40,480 Speaker 1: of the bots, and then those bots start driving opinion, 719 00:45:40,800 --> 00:45:43,359 Speaker 1: and then real people start comments and say they jump 720 00:45:43,400 --> 00:45:48,160 Speaker 1: on the bandwagon, it's it's it's insane, and that's that's 721 00:45:48,200 --> 00:45:50,040 Speaker 1: a bad consequence of technology. 722 00:45:50,080 --> 00:45:51,560 Speaker 4: And it's not even just social media to it's the 723 00:45:51,600 --> 00:45:55,399 Speaker 4: news networks, right because Fox News, like say, if I'm 724 00:45:55,400 --> 00:45:58,759 Speaker 4: having a conversation and I'm I'm critical of Donald Trump, 725 00:45:58,800 --> 00:46:00,319 Speaker 4: and I'm saying he's a threat to democracy, but I'm 726 00:46:00,320 --> 00:46:03,359 Speaker 4: also saying, hey, Joe Biden is an uninspiring candidate, right. 727 00:46:03,560 --> 00:46:07,080 Speaker 4: Fox News will take the uninspiring candidate clip, amplify that 728 00:46:07,239 --> 00:46:09,360 Speaker 4: all on their platform all day long, and then the 729 00:46:09,400 --> 00:46:11,600 Speaker 4: people on the left, instead of focusing on what I 730 00:46:11,600 --> 00:46:14,200 Speaker 4: said about Trump and him being atten democracy, they'll focus 731 00:46:14,239 --> 00:46:14,719 Speaker 4: on the. 732 00:46:14,680 --> 00:46:16,759 Speaker 3: Clip that Fox News pushed out there. So I'm like, 733 00:46:17,280 --> 00:46:18,560 Speaker 3: who are y'all working for? 734 00:46:19,000 --> 00:46:21,000 Speaker 4: Fox Newles knows how to push their narrative. 735 00:46:21,239 --> 00:46:23,239 Speaker 3: I feel like seeing MSNBC don't really know how to 736 00:46:23,280 --> 00:46:23,800 Speaker 3: push their. 737 00:46:24,920 --> 00:46:27,640 Speaker 1: And the reason is they don't know how to identify 738 00:46:27,680 --> 00:46:30,960 Speaker 1: an enemy and target that and go at it in 739 00:46:31,320 --> 00:46:36,319 Speaker 1: a targeted fashion. And that's the thing. If you're going 740 00:46:36,400 --> 00:46:40,680 Speaker 1: to do this effectively, You've got to get an identified enemy, 741 00:46:40,920 --> 00:46:44,640 Speaker 1: an identified enemy to rally around, rally the troops around 742 00:46:44,719 --> 00:46:49,640 Speaker 1: that enemy, that comment, and it's the cause celebrate, and 743 00:46:49,800 --> 00:46:55,759 Speaker 1: that's what makes a campaign to shut somebody down or 744 00:46:56,280 --> 00:47:00,440 Speaker 1: get people to really get up in arms. You got 745 00:47:00,440 --> 00:47:04,880 Speaker 1: to identify an enemy, identify the cause, and then set 746 00:47:04,960 --> 00:47:08,880 Speaker 1: forth an agenda. And that's what mainstream America doesn't. 747 00:47:08,640 --> 00:47:10,960 Speaker 4: Do very well, and the left does it. But they 748 00:47:11,000 --> 00:47:14,440 Speaker 4: do it to their own. Yes, the right stay focused. 749 00:47:13,960 --> 00:47:17,319 Speaker 3: On the left and taking them out. The left end 750 00:47:17,440 --> 00:47:18,359 Speaker 3: up taking out each other. 751 00:47:18,800 --> 00:47:20,440 Speaker 1: Yeah, that's what I'm saying. We're doing it to ourselves. 752 00:47:20,480 --> 00:47:22,560 Speaker 5: Oh my god, we've got issues. 753 00:47:22,680 --> 00:47:25,600 Speaker 2: The new book is out right now, How you can 754 00:47:25,640 --> 00:47:28,560 Speaker 2: stand strong for America's soul insanity, Doctor Phil. 755 00:47:28,640 --> 00:47:30,719 Speaker 5: We appreciate you for joining us. Thank you so much. 756 00:47:30,840 --> 00:47:32,359 Speaker 4: You don't come up here enough, doctor, because I want 757 00:47:32,360 --> 00:47:33,600 Speaker 4: to talk to you about why do you feel in 758 00:47:33,600 --> 00:47:36,200 Speaker 4: the medical industry is pushing transgender ideology on children? 759 00:47:36,239 --> 00:47:38,080 Speaker 3: But I guess maybe we'll save that for another time. 760 00:47:38,160 --> 00:47:40,360 Speaker 1: We'll do it another time, because what we want to 761 00:47:40,360 --> 00:47:41,719 Speaker 1: talk about. Thank you guys for having me. 762 00:47:44,719 --> 00:47:47,560 Speaker 5: It's doctor philm It's the Breakfast Club. Good morning, wake 763 00:47:47,600 --> 00:47:49,360 Speaker 5: that answer up in the morning. 764 00:47:49,520 --> 00:47:50,520 Speaker 1: The Breakfast Club.