1 00:00:00,120 --> 00:00:03,080 Speaker 1: All right, second hour of play in Buck kicks off 2 00:00:03,200 --> 00:00:07,600 Speaker 1: right now. We've got Bill O'Reilly with us, mega bestselling 3 00:00:07,720 --> 00:00:11,719 Speaker 1: author commentator. You all know where to go get his stuff, 4 00:00:11,800 --> 00:00:17,560 Speaker 1: billarilly dot com latest book, Confronting Evil, Assessing the worst 5 00:00:17,600 --> 00:00:20,760 Speaker 1: of the Worst. I'm sure Bill, there's a whole chapter 6 00:00:20,840 --> 00:00:23,440 Speaker 1: on people who chew with their mouths open, the worst 7 00:00:23,440 --> 00:00:25,400 Speaker 1: of the worst. Thank you so much for being here 8 00:00:25,400 --> 00:00:26,319 Speaker 1: with us. Appreciate that. 9 00:00:28,280 --> 00:00:31,360 Speaker 2: Listen, guys, I always like talking to you. Thanks trapping 10 00:00:31,400 --> 00:00:31,640 Speaker 2: me in. 11 00:00:32,760 --> 00:00:35,599 Speaker 1: Let's get into the shutdown right away, shall we? What 12 00:00:35,640 --> 00:00:37,440 Speaker 1: the heck was this all about? I mean, give us, 13 00:00:37,880 --> 00:00:42,639 Speaker 1: give us your census to what the Democrats think they 14 00:00:42,680 --> 00:00:45,480 Speaker 1: got out of this and what they really got out 15 00:00:45,479 --> 00:00:48,080 Speaker 1: of this, and how they're going to go forward now 16 00:00:48,120 --> 00:00:50,800 Speaker 1: that a lot of people, I think saw this not 17 00:00:50,960 --> 00:00:52,400 Speaker 1: the way that they had intended. 18 00:00:54,040 --> 00:00:57,960 Speaker 2: Well, I went a partial victory last week when New 19 00:00:58,040 --> 00:01:02,560 Speaker 2: Jersey when in the gubernatorial race, when it was supposed 20 00:01:02,560 --> 00:01:05,840 Speaker 2: to be considered very tight, it was not. People were 21 00:01:05,840 --> 00:01:09,639 Speaker 2: angry about the government shutdown. Whenever the American public is angry, 22 00:01:09,720 --> 00:01:12,720 Speaker 2: they vote against the incumbents. That's all the way back 23 00:01:12,720 --> 00:01:16,679 Speaker 2: to John Adams, and it's always been that way. But 24 00:01:16,920 --> 00:01:21,520 Speaker 2: the genesis of this is that the Democratic Party was 25 00:01:21,560 --> 00:01:24,920 Speaker 2: getting beaten so badly by President Trump that it had 26 00:01:24,959 --> 00:01:30,160 Speaker 2: to make a stand somewhere sometime. And the people who 27 00:01:30,200 --> 00:01:34,200 Speaker 2: run the party, which are far left progressive consultants, not 28 00:01:35,520 --> 00:01:39,960 Speaker 2: senators or congress people. The party is being run is 29 00:01:40,000 --> 00:01:42,160 Speaker 2: an ark on the Wall Street Journal editorial page, say 30 00:01:42,160 --> 00:01:46,200 Speaker 2: a very good article about money people calling the shots 31 00:01:46,200 --> 00:01:51,040 Speaker 2: and the Democratic Party, well, they decided, look the Republican's weaknesses. 32 00:01:51,040 --> 00:01:54,600 Speaker 2: They don't have a healthcare plan to bring down costs, 33 00:01:55,480 --> 00:02:03,400 Speaker 2: so we'll insist that the temporary Obama spending which rose 34 00:02:04,400 --> 00:02:07,480 Speaker 2: and was supposed to come back down after the pandemic subsided, 35 00:02:07,800 --> 00:02:13,160 Speaker 2: be made permanent. And the Democrats who fostered that new 36 00:02:14,080 --> 00:02:20,240 Speaker 2: that Trump and the Republicans would never agree, never two 37 00:02:20,280 --> 00:02:24,560 Speaker 2: more spending in a chaotic program. So they knew that 38 00:02:24,600 --> 00:02:28,840 Speaker 2: the government's going to shut down now. They thought that 39 00:02:29,080 --> 00:02:31,960 Speaker 2: they might be able to wait it out. But when 40 00:02:32,000 --> 00:02:37,320 Speaker 2: eight Democrats affected, it was over. So forty three days, 41 00:02:37,600 --> 00:02:44,320 Speaker 2: millions of Americans hurt for nothing. The Democrats got nothing. 42 00:02:46,040 --> 00:02:46,359 Speaker 3: Bill. 43 00:02:46,600 --> 00:02:51,000 Speaker 4: It seems quite clear that Democrats recognize that they misplayed this, 44 00:02:51,400 --> 00:02:55,960 Speaker 4: that they have created a mess for themselves, and so 45 00:02:56,040 --> 00:02:59,600 Speaker 4: they decided, Hey, the government's opening back up, let's distract 46 00:02:59,639 --> 00:03:04,639 Speaker 4: every let's throw out this Epstein story all over again. 47 00:03:05,880 --> 00:03:08,480 Speaker 4: You've known and Buck and I talked about that yesterday 48 00:03:08,520 --> 00:03:10,560 Speaker 4: and said, hey, this is a clear attempt to try 49 00:03:10,560 --> 00:03:14,160 Speaker 4: to avoid attention being placed upon their and you know, 50 00:03:14,480 --> 00:03:20,079 Speaker 4: their incompetence. What is the game plan here as we 51 00:03:20,120 --> 00:03:24,080 Speaker 4: look ahead to twenty twenty six? Aren't we shouldn't we 52 00:03:24,160 --> 00:03:26,160 Speaker 4: be concerned that they're just going to shut down the 53 00:03:26,200 --> 00:03:29,760 Speaker 4: government again and again. That seems to me to be 54 00:03:29,960 --> 00:03:32,919 Speaker 4: the most likely outcome because they don't really have any 55 00:03:33,000 --> 00:03:36,680 Speaker 4: game plan, but they just want to be reflexively anti Trump. 56 00:03:36,760 --> 00:03:39,960 Speaker 4: And if that's true, what would be a remedy? Do 57 00:03:40,000 --> 00:03:43,960 Speaker 4: you support adjusting the filibuster here to stop the government 58 00:03:44,000 --> 00:03:47,000 Speaker 4: from being able to be shut down until sixty senators, 59 00:03:47,000 --> 00:03:51,080 Speaker 4: which requires you know, eight seven eight Democrats actually come 60 00:03:51,080 --> 00:03:51,800 Speaker 4: to their senses. 61 00:03:53,240 --> 00:03:57,240 Speaker 2: Oh, there's a lot of questions in their clay. Okay, 62 00:03:57,600 --> 00:04:01,360 Speaker 2: So number one is obvious the Democrats through this Epstein 63 00:04:01,480 --> 00:04:06,280 Speaker 2: stuff out to deflect from the embarrassment of losing the shutdown. 64 00:04:07,120 --> 00:04:12,720 Speaker 2: Everybody with an IT over fifty knows that. Okay, Number two, No, 65 00:04:12,760 --> 00:04:15,640 Speaker 2: I wouldn't miss around with the filibuster at all, because 66 00:04:15,680 --> 00:04:19,279 Speaker 2: then you're going to create a monster that is going 67 00:04:19,360 --> 00:04:22,480 Speaker 2: to come back and do some serious damage. You can't 68 00:04:22,480 --> 00:04:26,840 Speaker 2: be changing the filibuster rules every two years. Number three. 69 00:04:27,080 --> 00:04:29,520 Speaker 2: The way to do this is for a new law, 70 00:04:30,640 --> 00:04:33,000 Speaker 2: and the Republicans have in the votes in both the 71 00:04:33,000 --> 00:04:36,000 Speaker 2: House and Senate. The passage it says you get one 72 00:04:36,080 --> 00:04:43,120 Speaker 2: shot at an adjustment of spending during a fiscal year one. 73 00:04:43,360 --> 00:04:47,960 Speaker 2: So we have a January date coming up where this 74 00:04:48,080 --> 00:04:51,280 Speaker 2: might happen all over again, But I since like it 75 00:04:51,360 --> 00:05:00,839 Speaker 2: won't because Democrats now are becoming the party of mean Party, 76 00:05:01,480 --> 00:05:03,960 Speaker 2: and well a lot of Americans aren't smart enough to 77 00:05:04,040 --> 00:05:08,240 Speaker 2: understand what's going on and don't really care. Most do, 78 00:05:09,360 --> 00:05:13,080 Speaker 2: and so if the Democrats try the same stunt in January, 79 00:05:13,160 --> 00:05:16,320 Speaker 2: it's gonna be a lot of anger. And then you're 80 00:05:16,360 --> 00:05:22,480 Speaker 2: only talking about nine months until the midterms. So the 81 00:05:22,480 --> 00:05:24,560 Speaker 2: Democrat's gotta be very careful here. But the way to 82 00:05:24,600 --> 00:05:28,159 Speaker 2: stop it now is to pass a new law. You 83 00:05:28,240 --> 00:05:32,560 Speaker 2: get one shot on a continuing funding basis a fiscal. 84 00:05:32,279 --> 00:05:36,240 Speaker 1: Year makes sense. I mean, they've got to figure out 85 00:05:36,279 --> 00:05:38,279 Speaker 1: something to stream on us. We're talking to Bill O'Reilly 86 00:05:38,440 --> 00:05:42,479 Speaker 1: confronting evil his latest massive bestseller. Make sure you go 87 00:05:42,600 --> 00:05:45,719 Speaker 1: out and get a copy of it. So Bill, we watched, 88 00:05:46,400 --> 00:05:48,200 Speaker 1: or at least I watched. I think Klay saw some 89 00:05:48,279 --> 00:05:50,760 Speaker 1: of the clips you on on Bill Maher well done, 90 00:05:50,760 --> 00:05:53,880 Speaker 1: by the way. That's that's always a it's a good 91 00:05:53,880 --> 00:05:56,160 Speaker 1: show when they have somebody who doesn't just agree with 92 00:05:56,200 --> 00:05:58,720 Speaker 1: all the communists, the lunacy out in California. So it 93 00:05:58,800 --> 00:06:01,240 Speaker 1: was good that you were there. One thing though, where 94 00:06:01,279 --> 00:06:03,320 Speaker 1: Clint and I both wanted, we wanted to press on 95 00:06:03,320 --> 00:06:05,440 Speaker 1: this one a little bit. You said something about how 96 00:06:05,480 --> 00:06:08,880 Speaker 1: you don't think Gavin Newsom has a shot at the 97 00:06:09,000 --> 00:06:12,560 Speaker 1: national level for the Democrats. Expand upon this one because 98 00:06:12,560 --> 00:06:15,760 Speaker 1: we were both we're both thinking that that's look, I'll 99 00:06:15,760 --> 00:06:17,840 Speaker 1: just say it. We both have said we think it's 100 00:06:17,839 --> 00:06:19,080 Speaker 1: going to be him at the top of the ticket, 101 00:06:19,120 --> 00:06:21,480 Speaker 1: AOC at the bottom. It sounds like you disagreed. Tell 102 00:06:21,560 --> 00:06:23,360 Speaker 1: us why. 103 00:06:23,040 --> 00:06:26,240 Speaker 2: Because his record is so abysmal in California it would 104 00:06:26,279 --> 00:06:29,760 Speaker 2: be very easy for the Republican has just take him apart. 105 00:06:30,960 --> 00:06:36,400 Speaker 2: And you know, the spending, irresponsibility and just yesterday as 106 00:06:36,440 --> 00:06:39,599 Speaker 2: chief established indicted on corruption. I mean you said to 107 00:06:39,600 --> 00:06:42,240 Speaker 2: look at this guy Newsom, You're going to find a 108 00:06:42,320 --> 00:06:47,560 Speaker 2: thousand things that are going to weigh him down. And 109 00:06:47,640 --> 00:06:49,919 Speaker 2: I'm not sure the Democratic Party wants to go with 110 00:06:49,960 --> 00:06:52,320 Speaker 2: a candidate who's going to be on the defensive every 111 00:06:52,400 --> 00:06:57,400 Speaker 2: single day. So I would say that a guy like 112 00:06:57,440 --> 00:07:01,200 Speaker 2: Wes Moore, he was not as defined governor of Maryland, 113 00:07:02,000 --> 00:07:06,920 Speaker 2: and he's a patriot, you know, a military guy, has 114 00:07:06,960 --> 00:07:10,040 Speaker 2: done a decent job trying to combat crime in Baltimore. 115 00:07:10,760 --> 00:07:13,440 Speaker 2: I'd say he had a much better chance because he 116 00:07:13,480 --> 00:07:17,320 Speaker 2: doesn't have that baggage. Now. Newsom is a good campaigner, 117 00:07:17,640 --> 00:07:21,880 Speaker 2: he's using Trump tactics, he's, you know, running on a 118 00:07:21,920 --> 00:07:27,200 Speaker 2: populous thing. But when you get is a million citizens. 119 00:07:27,280 --> 00:07:30,640 Speaker 2: That's how many have left California under Newsom. One million, 120 00:07:31,560 --> 00:07:36,560 Speaker 2: most of whom were affluent, did big taxes. One million. 121 00:07:37,760 --> 00:07:39,160 Speaker 2: You got something wrong with your state? 122 00:07:40,480 --> 00:07:40,880 Speaker 3: Is all right? 123 00:07:40,960 --> 00:07:45,240 Speaker 4: Well, we agree that he's done an awful job. Unfortunately, 124 00:07:45,480 --> 00:07:49,680 Speaker 4: I think Democrats don't care about results, and he's the 125 00:07:49,720 --> 00:07:52,640 Speaker 4: most strident in his attention gathering. 126 00:07:52,800 --> 00:07:58,160 Speaker 2: Kamala Harris though, Yeah, they care about winning the next election, 127 00:07:58,960 --> 00:08:02,679 Speaker 2: the presidential So if you're gonna put up a Kamala Harris, 128 00:08:03,160 --> 00:08:07,000 Speaker 2: all right, and she can't articulate anything, which is what 129 00:08:07,040 --> 00:08:11,240 Speaker 2: the case was. Has not one solution to any problem nothing. 130 00:08:12,240 --> 00:08:16,680 Speaker 2: You're gonna lose. Should we do a guy from California 131 00:08:16,720 --> 00:08:20,960 Speaker 2: whose record is disastrous? You're gonna lose. 132 00:08:21,440 --> 00:08:23,240 Speaker 3: Should we do a steak? Bet here? 133 00:08:23,360 --> 00:08:25,160 Speaker 4: I don't think the three of us have gone out 134 00:08:25,160 --> 00:08:27,680 Speaker 4: to dinner together. And it's a little bit unfair because 135 00:08:28,080 --> 00:08:30,080 Speaker 4: you know, Buck and I get to pay half and half. 136 00:08:30,680 --> 00:08:34,000 Speaker 4: But we think that Newsom will be the nominee. 137 00:08:34,120 --> 00:08:34,720 Speaker 3: You do not. 138 00:08:35,400 --> 00:08:38,360 Speaker 4: We're giving you the field, which actually is a great 139 00:08:38,400 --> 00:08:41,120 Speaker 4: deal for you. Do we have a handshake? Bet here? 140 00:08:41,240 --> 00:08:44,280 Speaker 4: Buck and I say, right now, Gavin Newsom will be 141 00:08:44,320 --> 00:08:47,280 Speaker 4: the nominee in twenty eight. Are you willing to put 142 00:08:47,280 --> 00:08:50,120 Speaker 4: a steak on the line? Would actually be two steaks 143 00:08:50,160 --> 00:08:53,360 Speaker 4: for you over this over this situation. 144 00:08:54,280 --> 00:08:58,080 Speaker 2: Sure, but not because I'm that confident I'll win. Because 145 00:08:58,080 --> 00:09:00,880 Speaker 2: it's gonna be a totally different country and three gonna 146 00:09:00,880 --> 00:09:03,960 Speaker 2: be a totally different country in one year. Yeah, that's 147 00:09:03,960 --> 00:09:06,319 Speaker 2: why the election last week. Is it going to have 148 00:09:06,360 --> 00:09:11,120 Speaker 2: any direct bearing on the midterms next year? The country 149 00:09:11,200 --> 00:09:13,600 Speaker 2: is changing with lightning speed lightning. 150 00:09:14,440 --> 00:09:16,720 Speaker 3: How concerned are you about that? By the way, because 151 00:09:16,720 --> 00:09:17,240 Speaker 3: Buck and I. 152 00:09:17,240 --> 00:09:19,240 Speaker 4: I think one of the big stories that is still 153 00:09:19,280 --> 00:09:22,280 Speaker 4: not getting enough attention is AI and how quickly it's 154 00:09:22,280 --> 00:09:24,760 Speaker 4: going to change everything in this country. Buck and I 155 00:09:24,800 --> 00:09:26,840 Speaker 4: have been talking about it a lot on this program. 156 00:09:27,440 --> 00:09:30,360 Speaker 4: Are you of the opinion that AI is going to 157 00:09:30,400 --> 00:09:34,120 Speaker 4: be transformative in many ways in terms of jobs, in 158 00:09:34,240 --> 00:09:36,320 Speaker 4: terms of just right with that? 159 00:09:37,280 --> 00:09:40,520 Speaker 5: Yes, the AI. 160 00:09:41,800 --> 00:09:46,200 Speaker 2: Approach, because it's not quite here yet, is going to 161 00:09:46,360 --> 00:09:51,440 Speaker 2: alter the media above all else. Because on social media, 162 00:09:52,200 --> 00:09:54,760 Speaker 2: where you can't track these people down, can't hold them 163 00:09:54,800 --> 00:09:58,920 Speaker 2: accountable court of law, you're gonna have fake videos. Twenty 164 00:09:58,920 --> 00:10:02,720 Speaker 2: four to seven, twenty four to seven, there is a 165 00:10:02,760 --> 00:10:07,480 Speaker 2: congress woman who accused Trump yesterday. Let me get her name, 166 00:10:07,559 --> 00:10:09,160 Speaker 2: and I got it my notes because I'm going to 167 00:10:09,240 --> 00:10:11,040 Speaker 2: do it on the No Spin News tonight. I'm Bill 168 00:10:11,080 --> 00:10:17,160 Speaker 2: O'Reilly dot com. And I just read a quote Melanie 169 00:10:17,200 --> 00:10:24,559 Speaker 2: Stansbury from New Mexico. Okay, she says, I'd like to 170 00:10:24,600 --> 00:10:27,520 Speaker 2: say to the American people, believe your eyes. We have 171 00:10:27,640 --> 00:10:32,560 Speaker 2: all seen photographs of Donald Trump with underage girls sitting 172 00:10:32,600 --> 00:10:38,520 Speaker 2: on his lap. That's a quote. There are no photographs 173 00:10:38,600 --> 00:10:43,959 Speaker 2: of Donald Trump with any girl on his lap. There 174 00:10:44,040 --> 00:10:48,800 Speaker 2: was an AI photograph that was put out. Now, this 175 00:10:49,080 --> 00:10:55,800 Speaker 2: congressperson from New Mexico is lying to the American people. Now, 176 00:10:55,800 --> 00:10:59,480 Speaker 2: I don't know whether she is just stupid or venal 177 00:10:59,679 --> 00:11:05,760 Speaker 2: or based upon some ai fake image that she saw. 178 00:11:07,360 --> 00:11:11,960 Speaker 2: So multiply that by ten thousand, because that's what's going 179 00:11:12,040 --> 00:11:17,000 Speaker 2: to happen and there's no regulation about it. How about 180 00:11:17,040 --> 00:11:18,280 Speaker 2: that for a frightening scenario. 181 00:11:18,480 --> 00:11:22,160 Speaker 1: No, And also, how do you hold someone legally responsible, 182 00:11:22,200 --> 00:11:25,160 Speaker 1: let's say, for defamation bill if they say, well, I 183 00:11:25,200 --> 00:11:28,880 Speaker 1: saw this news site shared this photo and it looked real. 184 00:11:29,080 --> 00:11:32,080 Speaker 1: Because especially for a public figures, as you know, the 185 00:11:32,160 --> 00:11:35,160 Speaker 1: standard has to be malice has to be false. Tough 186 00:11:35,200 --> 00:11:37,880 Speaker 1: to prove malice if someone's actually looking at a photo 187 00:11:37,960 --> 00:11:39,840 Speaker 1: that looks like a real photo, right, I mean, I 188 00:11:39,880 --> 00:11:41,840 Speaker 1: just think it complicates matters tremendously. 189 00:11:42,520 --> 00:11:44,600 Speaker 2: It makes it harder. But I think if Trump wanted 190 00:11:44,640 --> 00:11:49,680 Speaker 2: to sue Stansbury, he would win because their statements about 191 00:11:49,679 --> 00:11:52,680 Speaker 2: Trump are malicious. So you can bring in a whole 192 00:11:52,720 --> 00:11:57,120 Speaker 2: bunch of other stuff. And it's the responsibility of any 193 00:11:57,240 --> 00:12:02,800 Speaker 2: person trafficking in the public arena to make sure what 194 00:12:02,920 --> 00:12:05,640 Speaker 2: they're saying ex accurate. 195 00:12:06,120 --> 00:12:08,839 Speaker 3: Well, especially something like that, right, No, doubt. 196 00:12:09,360 --> 00:12:12,560 Speaker 1: Yeah, insinuating you know, some kind of sexual uh you 197 00:12:12,600 --> 00:12:15,120 Speaker 1: know violation and you know violation of laws. 198 00:12:16,480 --> 00:12:18,920 Speaker 3: Well of course, right, but you're gonna see a lot 199 00:12:18,960 --> 00:12:19,280 Speaker 3: more of this. 200 00:12:20,520 --> 00:12:23,600 Speaker 2: Okay, an Ai image may exist, it's without a picture. 201 00:12:24,200 --> 00:12:27,160 Speaker 2: If I would shop, I go after her, and if 202 00:12:27,200 --> 00:12:29,080 Speaker 2: somebody does to me, I'll go after them. 203 00:12:29,520 --> 00:12:32,640 Speaker 4: It's gonna happen to everybody. Bill, I think you're hitting 204 00:12:32,640 --> 00:12:36,200 Speaker 4: on something that's so incredibly important, because it's going to 205 00:12:36,320 --> 00:12:40,320 Speaker 4: become virtually impossible to distinguish between. 206 00:12:40,080 --> 00:12:42,760 Speaker 3: Photos, videos, what is real and fake. 207 00:12:43,000 --> 00:12:48,559 Speaker 4: And honestly, people are gonna believe whatever they want to believe, 208 00:12:48,880 --> 00:12:52,400 Speaker 4: so there is gonna be no ability to really kind 209 00:12:52,440 --> 00:12:53,120 Speaker 4: of rain this in. 210 00:12:53,320 --> 00:12:54,840 Speaker 1: This is kind of a silly one, Bill. But you know, 211 00:12:54,880 --> 00:12:58,200 Speaker 1: there was that photo after the Louver heist. You know, 212 00:12:58,280 --> 00:13:00,720 Speaker 1: this is much less serious than the Trump But after 213 00:13:00,760 --> 00:13:04,080 Speaker 1: the Louver heist, Uh, there was the photo of the 214 00:13:04,160 --> 00:13:07,280 Speaker 1: detective who looked like he was, you know, dressing up 215 00:13:07,280 --> 00:13:09,839 Speaker 1: as like a French detective from you know, like the 216 00:13:09,920 --> 00:13:11,480 Speaker 1: nineteen fifties, and. 217 00:13:11,400 --> 00:13:13,920 Speaker 3: Everyone was like, is it Ai? Is it not Ai? 218 00:13:14,160 --> 00:13:17,120 Speaker 1: It was actually a real photo, apparently, but the guy 219 00:13:17,160 --> 00:13:19,280 Speaker 1: had nothing to do with the cops. And but by 220 00:13:19,280 --> 00:13:22,000 Speaker 1: the time that photo had made it around everywhere, nobody knew. 221 00:13:21,800 --> 00:13:23,839 Speaker 3: What was reality. Everyone thought this guy was the lead 222 00:13:23,880 --> 00:13:25,199 Speaker 3: detective on the Loof case. 223 00:13:26,320 --> 00:13:29,040 Speaker 2: You know, even gets worse than that. There was a 224 00:13:29,080 --> 00:13:34,640 Speaker 2: picture of me, waters Beck and Carlson at the White House, 225 00:13:35,280 --> 00:13:36,640 Speaker 2: but that was a real picture. 226 00:13:39,440 --> 00:13:44,320 Speaker 4: But AI, No, this is also gonna be funny, Bill, 227 00:13:44,679 --> 00:13:47,480 Speaker 4: the things that are actually real. Do you know what 228 00:13:47,520 --> 00:13:51,120 Speaker 4: the number one response is gonna be, it's Ai. Everybody's 229 00:13:51,160 --> 00:13:53,360 Speaker 4: gonna say that we're not gonna have any idea what 230 00:13:53,520 --> 00:13:56,400 Speaker 4: is real and what is fake. Because if something's out 231 00:13:56,440 --> 00:13:58,440 Speaker 4: there that you don't like, you just be like, ah, 232 00:13:58,520 --> 00:14:01,720 Speaker 4: that's totally made up. That's a And if it's really fake, 233 00:14:01,880 --> 00:14:03,960 Speaker 4: you're gonna say, wait, that's fake. And none of us 234 00:14:03,960 --> 00:14:05,720 Speaker 4: are gonna have any idea what's real and fake. 235 00:14:06,400 --> 00:14:11,240 Speaker 2: Well, that's why Congress has to pass new laws, new defamation, 236 00:14:11,520 --> 00:14:14,920 Speaker 2: libel and slander laws, and they have to pass them 237 00:14:14,920 --> 00:14:18,680 Speaker 2: pretty quickly to make it easier for people to sue. 238 00:14:19,240 --> 00:14:21,480 Speaker 1: But that's my that's my point, Bill, is people are 239 00:14:21,480 --> 00:14:24,920 Speaker 1: gonna people are gonna hide behind a bad faith Oh 240 00:14:25,000 --> 00:14:27,520 Speaker 1: I was acting in good faith standard unless we change 241 00:14:27,560 --> 00:14:29,960 Speaker 1: these laws because of AI. They're gonna say, I'm just 242 00:14:30,000 --> 00:14:33,080 Speaker 1: going on what was a reg you know, So you're right. 243 00:14:32,960 --> 00:14:34,800 Speaker 3: We got to change. It's gonna be a huge problem. 244 00:14:34,880 --> 00:14:37,960 Speaker 4: But to your point, Bucket, it's gonna be hosted websites 245 00:14:38,120 --> 00:14:41,080 Speaker 4: that are in foreign countries that are hard to be 246 00:14:41,200 --> 00:14:44,120 Speaker 4: able to track down because they're gonna be a lot 247 00:14:44,160 --> 00:14:46,600 Speaker 4: of these sourcing, right, and then it's gonna go everywhere. 248 00:14:47,200 --> 00:14:55,280 Speaker 2: Yeah yeah, yeah, to the South Asian people. But we 249 00:14:55,320 --> 00:14:59,720 Speaker 2: should have the British system anyway, and the burden of 250 00:15:00,200 --> 00:15:05,680 Speaker 2: defamation should be lowered here because the Charlatans are running 251 00:15:05,720 --> 00:15:12,160 Speaker 2: wild and it's gonna make it even harder for decent 252 00:15:12,240 --> 00:15:16,880 Speaker 2: people not to get framed and extorted. And that's why 253 00:15:16,960 --> 00:15:18,280 Speaker 2: Congress has got to get involved. 254 00:15:19,280 --> 00:15:20,040 Speaker 3: Look, I think. 255 00:15:19,920 --> 00:15:22,280 Speaker 4: You're thanks for the time, Bill, and we encourage everybody 256 00:15:22,280 --> 00:15:23,960 Speaker 4: to go check out Bill's newest book. 257 00:15:24,720 --> 00:15:25,720 Speaker 3: I think the Times v. 258 00:15:25,880 --> 00:15:28,640 Speaker 4: Sullivan's standard, and I've said this for a long time, 259 00:15:29,000 --> 00:15:32,920 Speaker 4: is gonna have to be readdressed. That's a nineteen sixties 260 00:15:33,080 --> 00:15:37,880 Speaker 4: early sixties civil rights era precedent. It doesn't really play 261 00:15:38,160 --> 00:15:40,640 Speaker 4: in the modern era very effectively. 262 00:15:40,720 --> 00:15:43,120 Speaker 3: Bill. We appreciate the time, and we'll get you on 263 00:15:43,160 --> 00:15:43,600 Speaker 3: again soon. 264 00:15:45,000 --> 00:15:48,880 Speaker 4: Thanks hearing in guys anytime that's Bill O'Reilly. Check them 265 00:15:48,880 --> 00:15:51,040 Speaker 4: out Bill O'Reilly dot com. He's got to go have 266 00:15:51,080 --> 00:15:52,960 Speaker 4: great stuff there, in addition to one of the best 267 00:15:52,960 --> 00:15:56,160 Speaker 4: selling nonfiction book series of all time. When we first 268 00:15:56,200 --> 00:15:58,320 Speaker 4: met up with the team at the International Fellowship of 269 00:15:58,360 --> 00:16:02,200 Speaker 4: Christians and Jews, they were understandably focused on helping tens 270 00:16:02,200 --> 00:16:05,960 Speaker 4: of thousands of Israeli citizens displaced and affected by the war, 271 00:16:06,440 --> 00:16:09,560 Speaker 4: but for many years before then, even today, they're continuing 272 00:16:09,640 --> 00:16:11,800 Speaker 4: to help members of the Jewish faith no matter where 273 00:16:11,800 --> 00:16:15,040 Speaker 4: they are in the world. That includes Jewish community members 274 00:16:15,040 --> 00:16:17,400 Speaker 4: in our nation as well that have been affected by 275 00:16:17,440 --> 00:16:21,560 Speaker 4: anti Semitic acts. For the IFCJ, this is an important effort. 276 00:16:21,680 --> 00:16:24,960 Speaker 4: The IFCJ is on the front lines providing real help 277 00:16:25,000 --> 00:16:27,960 Speaker 4: where it's needed most, giving food and shelter to Jewish 278 00:16:27,960 --> 00:16:32,160 Speaker 4: families that feel under threat. I have seen this for myself, 279 00:16:32,200 --> 00:16:34,720 Speaker 4: and I have helped to do some of the charity 280 00:16:34,760 --> 00:16:37,640 Speaker 4: work that they have done in Israel. I was over 281 00:16:37,640 --> 00:16:41,240 Speaker 4: there about a year ago in December. Your gift of 282 00:16:41,280 --> 00:16:44,200 Speaker 4: forty five dollars will help support their life saving work 283 00:16:44,240 --> 00:16:47,920 Speaker 4: by helping provide food, shelter, much more support the If 284 00:16:48,480 --> 00:16:52,600 Speaker 4: supporting the IFCJ is a spiritual stand too, please call 285 00:16:52,720 --> 00:16:56,600 Speaker 4: eight eight eight four eight eight IFCJ that's eight eight 286 00:16:56,600 --> 00:16:59,560 Speaker 4: eight four eight eight four three two five. You can 287 00:16:59,640 --> 00:17:04,000 Speaker 4: also go online to IFCJ dot org. Every dollar helps, 288 00:17:04,160 --> 00:17:08,880 Speaker 4: don't wait be the difference. IFCJ dot org. 289 00:17:09,800 --> 00:17:15,560 Speaker 6: Stories of Freedom, Stories of America, inspirational stories that you unite. 290 00:17:15,320 --> 00:17:16,440 Speaker 3: Us all each day. 291 00:17:16,640 --> 00:17:20,160 Speaker 6: Spend time with Clay and find them on the free 292 00:17:20,240 --> 00:17:23,560 Speaker 6: iHeartRadio app or wherever you get your podcasts. 293 00:17:23,680 --> 00:17:24,280 Speaker 3: Welcome back in. 294 00:17:24,359 --> 00:17:26,560 Speaker 4: We got a quick turn here, but we have a 295 00:17:26,640 --> 00:17:29,679 Speaker 4: ton of you lined up right now who want to 296 00:17:29,720 --> 00:17:32,760 Speaker 4: talk about this H one B issue from a variety 297 00:17:32,800 --> 00:17:34,160 Speaker 4: of different perspectives. 298 00:17:34,560 --> 00:17:35,199 Speaker 3: Stick with us. 299 00:17:35,280 --> 00:17:37,520 Speaker 4: We will go to you when we come back at 300 00:17:37,560 --> 00:17:41,080 Speaker 4: the top bottom of the hour and take your calls. 301 00:17:41,080 --> 00:17:46,159 Speaker 4: We got Southern California, Saint Paul, North Carolina, Florida, Raleigh, 302 00:17:46,200 --> 00:17:48,359 Speaker 4: North Carolina. We got a bunch of different places everybody 303 00:17:48,440 --> 00:17:50,960 Speaker 4: wants to weigh in. We will hit all of y'all, 304 00:17:51,359 --> 00:17:53,400 Speaker 4: I promise when we come back. But in the meantime, 305 00:17:53,760 --> 00:17:56,080 Speaker 4: I want to tell you about the incredible work that 306 00:17:56,160 --> 00:17:56,680 Speaker 4: I have seen. 307 00:17:56,760 --> 00:17:57,960 Speaker 3: Tunnel to Towers do. 308 00:17:58,880 --> 00:18:01,359 Speaker 4: I was up in New York Line last week last 309 00:18:01,440 --> 00:18:05,120 Speaker 4: month helping to MC their big event at the Liberty 310 00:18:05,119 --> 00:18:08,399 Speaker 4: Golf Course where they've raised millions of dollars, which is 311 00:18:08,440 --> 00:18:12,439 Speaker 4: fantastic to see. But even better is every time I 312 00:18:12,480 --> 00:18:16,320 Speaker 4: go to a Tunnel to Towers event, I'm fortunate because 313 00:18:16,359 --> 00:18:19,040 Speaker 4: I get to meet some of the family members that 314 00:18:19,119 --> 00:18:22,439 Speaker 4: have been helped by Frank Siller and his organization and 315 00:18:22,760 --> 00:18:27,920 Speaker 4: just the incredible work that they do to help ensure 316 00:18:28,040 --> 00:18:30,280 Speaker 4: that all of our first responders, that all of our 317 00:18:30,320 --> 00:18:33,560 Speaker 4: military officials, that all of their families are taken care of. 318 00:18:34,160 --> 00:18:37,160 Speaker 4: I donate Buck donates. We would like you to join 319 00:18:37,280 --> 00:18:40,879 Speaker 4: us in donating to support the bravest and most selfless 320 00:18:40,960 --> 00:18:46,240 Speaker 4: among US first responders, military their families. Donate eleven dollars 321 00:18:46,280 --> 00:18:49,119 Speaker 4: a month to Tunnel to Towers at T TOWO T 322 00:18:49,320 --> 00:18:53,480 Speaker 4: dot org. That's t the number two, T dot org. 323 00:18:53,800 --> 00:18:57,040 Speaker 4: Welcome back into Clay and Buck. All right, something here 324 00:18:57,280 --> 00:19:00,000 Speaker 4: real quick. I want to get back into HMB discussion 325 00:19:00,080 --> 00:19:01,760 Speaker 4: because we've got all lines lit about this. We want 326 00:19:01,760 --> 00:19:04,000 Speaker 4: to have Uncle Bill on to give us the general 327 00:19:04,040 --> 00:19:07,120 Speaker 4: political rundown of what's happening right now. But we'll get 328 00:19:07,119 --> 00:19:09,639 Speaker 4: back to h one b's the big conversation, and I 329 00:19:09,680 --> 00:19:11,280 Speaker 4: had mentioned this in the first hour, said, look what 330 00:19:11,320 --> 00:19:13,240 Speaker 4: Trump said when he said we don't have. 331 00:19:14,560 --> 00:19:15,840 Speaker 3: The talent here. 332 00:19:16,000 --> 00:19:19,080 Speaker 1: He didn't mean that, I know, Trump, he didn't mean 333 00:19:19,080 --> 00:19:22,320 Speaker 1: that in the broadest sense. He meant that for specific things, 334 00:19:22,560 --> 00:19:24,800 Speaker 1: which is why we have an H one B program. 335 00:19:25,240 --> 00:19:28,240 Speaker 1: There are times when we actually do need to bring 336 00:19:28,280 --> 00:19:30,439 Speaker 1: in and by the way, they're very You know there 337 00:19:30,560 --> 00:19:35,000 Speaker 1: countries like South Korea, Taiwan, there are specific instances where 338 00:19:35,000 --> 00:19:37,359 Speaker 1: there is a skill set. I brought up TSMC, one 339 00:19:37,359 --> 00:19:39,960 Speaker 1: of the most valuable companies in the world. We cannot 340 00:19:40,080 --> 00:19:43,600 Speaker 1: run that fab without Taiwanese assistance, even the one in Arizona, 341 00:19:43,920 --> 00:19:47,080 Speaker 1: like we need them. So that's where your H one 342 00:19:47,160 --> 00:19:49,760 Speaker 1: B program is very Now, I think that's a small fraction, 343 00:19:50,040 --> 00:19:52,160 Speaker 1: but that's what Scott Bessant, He went, this is cut 344 00:19:52,160 --> 00:19:55,600 Speaker 1: twenty eight. He said, look, what Trump was really saying 345 00:19:55,800 --> 00:19:57,240 Speaker 1: is what Buck just said to you. 346 00:19:57,320 --> 00:19:57,639 Speaker 3: Play it. 347 00:19:57,920 --> 00:20:01,000 Speaker 7: The President's point here is we again, we can't snap 348 00:20:01,080 --> 00:20:03,159 Speaker 7: our fingers and say you're going to learn how to 349 00:20:03,240 --> 00:20:07,880 Speaker 7: build ships overnight. We want to bring semiconductor industry back 350 00:20:07,920 --> 00:20:11,680 Speaker 7: to the US. There's going to be big facilities in Arizona. 351 00:20:12,080 --> 00:20:15,600 Speaker 7: So I think the president's vision here is to bring 352 00:20:15,640 --> 00:20:19,440 Speaker 7: in overseas workers where these jobs went to have skills, 353 00:20:19,520 --> 00:20:23,560 Speaker 7: who have the skills three five, seven years to train 354 00:20:23,640 --> 00:20:26,879 Speaker 7: the US workers, then they can go home the US 355 00:20:26,960 --> 00:20:28,480 Speaker 7: workers fully takeover. 356 00:20:28,640 --> 00:20:30,199 Speaker 8: So that's what you do. 357 00:20:30,200 --> 00:20:33,000 Speaker 2: You understand the concern that people have, Hey, an American 358 00:20:33,080 --> 00:20:34,880 Speaker 2: can have that job, why you give it. 359 00:20:34,840 --> 00:20:38,399 Speaker 7: To it can have that job specific skills because we 360 00:20:38,440 --> 00:20:40,920 Speaker 7: haven't built ships in the US for years, we haven't 361 00:20:40,920 --> 00:20:46,679 Speaker 7: built semiconductors. So that this idea of overseas partners coming 362 00:20:46,720 --> 00:20:50,920 Speaker 7: in teaching American workers then returning home, that's a home run. 363 00:20:52,040 --> 00:20:54,480 Speaker 1: It just has to be what he's talking about. It's 364 00:20:54,480 --> 00:20:57,000 Speaker 1: so funny because okay, that makes sense. Yeah, that's what 365 00:20:57,080 --> 00:21:00,880 Speaker 1: the H one B program is supposed to be. It's 366 00:21:00,920 --> 00:21:04,040 Speaker 1: not supposed to be low level coding where you get 367 00:21:04,040 --> 00:21:07,199 Speaker 1: to pay someone Clay from India thirty percent less than 368 00:21:07,200 --> 00:21:09,480 Speaker 1: you'd pay an American that you could find to do 369 00:21:09,600 --> 00:21:10,040 Speaker 1: the job. 370 00:21:10,600 --> 00:21:14,640 Speaker 4: Not only pay them less, basically have them handcuffed because 371 00:21:14,680 --> 00:21:18,199 Speaker 4: their ability to stay in the country is entirely reliant 372 00:21:18,240 --> 00:21:20,280 Speaker 4: on them being productive workers for you. 373 00:21:20,480 --> 00:21:22,120 Speaker 1: This is why people start to say it's a little 374 00:21:22,119 --> 00:21:25,320 Speaker 1: bit like a modern indentured servitude exactly what it is. 375 00:21:25,560 --> 00:21:27,040 Speaker 1: And then they said, well then why would they willing 376 00:21:27,119 --> 00:21:28,520 Speaker 1: to do it? Well, one, that make a lot money, 377 00:21:28,560 --> 00:21:32,320 Speaker 1: more money here than they will in India, for example. 378 00:21:32,400 --> 00:21:35,760 Speaker 1: And two, as I said, there's the whole incentive of well, 379 00:21:35,800 --> 00:21:37,720 Speaker 1: I get to bring my family here, I get to 380 00:21:37,720 --> 00:21:40,480 Speaker 1: skip the overall immigration line. I get to then apply 381 00:21:40,920 --> 00:21:43,159 Speaker 1: in America to try to stay with my get a 382 00:21:43,200 --> 00:21:45,399 Speaker 1: green card. There's a whole thing here. All right, we 383 00:21:45,480 --> 00:21:47,480 Speaker 1: got we got back and forth on this one, so 384 00:21:47,520 --> 00:21:51,120 Speaker 1: we're gonna try to move quickly through the various opinions here. 385 00:21:51,520 --> 00:21:55,680 Speaker 1: Jerrolin in southern California, a computer programmer, what do you think? 386 00:21:55,760 --> 00:21:56,160 Speaker 3: Jerlin? 387 00:21:57,560 --> 00:22:00,600 Speaker 9: Hey, nice to talk to you again. Claim back, I 388 00:22:00,640 --> 00:22:03,480 Speaker 9: am a computer programmer, and you all just kind of 389 00:22:03,480 --> 00:22:06,720 Speaker 9: covered the points that I made to producer Greg. I 390 00:22:06,800 --> 00:22:09,800 Speaker 9: used to work for a company that was multinational and 391 00:22:09,880 --> 00:22:13,320 Speaker 9: it was kind of a it passed the initial startup dhase, 392 00:22:13,359 --> 00:22:15,400 Speaker 9: but it was a pretty young company and they were 393 00:22:15,440 --> 00:22:18,679 Speaker 9: still trying to trade on their startup culture and a 394 00:22:18,680 --> 00:22:21,600 Speaker 9: lot of the programmers I worked with were h one 395 00:22:21,720 --> 00:22:26,399 Speaker 9: V visa holders from India, and I think I couldn't 396 00:22:26,440 --> 00:22:28,879 Speaker 9: prove it, but I'm pretty sure that they and we 397 00:22:28,960 --> 00:22:32,400 Speaker 9: never discussed it because that's tachy in spite of what 398 00:22:32,600 --> 00:22:35,040 Speaker 9: kids these days think. I've noticed it's the trend among 399 00:22:35,119 --> 00:22:38,600 Speaker 9: millennials and generations. Need to discuss your salary. Don't do that, kids, 400 00:22:38,760 --> 00:22:41,760 Speaker 9: it's bad. Anyway, we never talked about it, but I'm 401 00:22:41,760 --> 00:22:44,480 Speaker 9: pretty sure all of those programmers from India were making 402 00:22:44,520 --> 00:22:46,639 Speaker 9: a lot less than the rest of us were, and 403 00:22:46,680 --> 00:22:49,000 Speaker 9: they were very good at their jobs, but not necessarily 404 00:22:49,000 --> 00:22:50,160 Speaker 9: better than the rest of us. 405 00:22:50,280 --> 00:22:50,879 Speaker 5: Who were. 406 00:22:52,359 --> 00:22:54,359 Speaker 4: Sorry to cut you off, Jerlyn, but you feel like 407 00:22:54,520 --> 00:22:58,680 Speaker 4: in your experience that they could have found American workers 408 00:22:58,720 --> 00:23:01,040 Speaker 4: who could have done the job that these H one 409 00:23:01,119 --> 00:23:02,720 Speaker 4: B workers were being hired to do. 410 00:23:03,920 --> 00:23:05,879 Speaker 9: Yes, I think they could have, and I think they 411 00:23:05,880 --> 00:23:07,760 Speaker 9: would have had to pay them more. And I think 412 00:23:07,880 --> 00:23:11,040 Speaker 9: that my Indian coworkers were happy to accept less money 413 00:23:11,040 --> 00:23:14,840 Speaker 9: because they got to stay in America. I think we're 414 00:23:14,880 --> 00:23:16,320 Speaker 9: just making are exactly correct. 415 00:23:16,720 --> 00:23:18,760 Speaker 4: Thank you for the call. I mean, this is fantastic. 416 00:23:18,760 --> 00:23:20,720 Speaker 4: By the way, I wanted you guys who had experience. 417 00:23:20,720 --> 00:23:25,040 Speaker 4: I appreciate Jaa Lynn. Let's go to gem in North Carolina. 418 00:23:25,160 --> 00:23:28,080 Speaker 4: You've run a business and you've had you say dozens 419 00:23:28,119 --> 00:23:31,879 Speaker 4: of H one B employees. First question for you, could 420 00:23:31,920 --> 00:23:35,360 Speaker 4: you not have found Americans able to do those jobs? 421 00:23:35,800 --> 00:23:39,640 Speaker 4: Second question for you, what, if anything, do you think 422 00:23:39,680 --> 00:23:41,960 Speaker 4: should be changed about the policy or do you think 423 00:23:42,000 --> 00:23:42,720 Speaker 4: it works well? 424 00:23:42,720 --> 00:23:46,120 Speaker 10: Now, well, great to be with you, Clay and Buck. First, 425 00:23:46,160 --> 00:23:48,040 Speaker 10: let me just say that the H one B program 426 00:23:48,119 --> 00:23:51,000 Speaker 10: is abused in various places around the country, and particularly 427 00:23:51,000 --> 00:23:53,119 Speaker 10: in the IT arena. I will tell you that the 428 00:23:53,160 --> 00:23:56,480 Speaker 10: dozens of H one bs that I managed, we hired 429 00:23:56,520 --> 00:23:59,440 Speaker 10: them for one specific purpose, and that was because they 430 00:23:59,480 --> 00:24:04,679 Speaker 10: were more productive than their equivalent American counterparts. When you 431 00:24:04,760 --> 00:24:07,800 Speaker 10: run a business, it's the bottom line that drives your business. 432 00:24:07,800 --> 00:24:10,200 Speaker 10: You've got to be productive. And if you've got foreign 433 00:24:10,240 --> 00:24:12,679 Speaker 10: workers who are willing to work harder, with more attention 434 00:24:12,720 --> 00:24:17,119 Speaker 10: to detail than their counterparts in America, then you're just 435 00:24:17,280 --> 00:24:19,640 Speaker 10: drawn to have to hire them and keep them employed. 436 00:24:19,880 --> 00:24:23,000 Speaker 10: We always were on the search for hard working American 437 00:24:23,040 --> 00:24:26,000 Speaker 10: workers in the IT arena, particularly in the data warehousing 438 00:24:26,040 --> 00:24:29,200 Speaker 10: business intelligence arena, but we just couldn't find the ones 439 00:24:29,240 --> 00:24:31,480 Speaker 10: that could work at the same level, the same degree 440 00:24:31,480 --> 00:24:32,520 Speaker 10: of attention to detail. 441 00:24:33,480 --> 00:24:37,560 Speaker 4: So your position is there was no fungible alternative for 442 00:24:37,720 --> 00:24:41,639 Speaker 4: American workers. You legitimately believe you couldn't have run your 443 00:24:41,680 --> 00:24:44,520 Speaker 4: business without being able to hire these individuals. 444 00:24:44,920 --> 00:24:47,639 Speaker 10: We couldn't work, We couldn't be as competitive as a 445 00:24:47,680 --> 00:24:51,119 Speaker 10: business by hiring workers that were fifty percent less productive 446 00:24:51,480 --> 00:24:52,120 Speaker 10: than their H. 447 00:24:52,080 --> 00:24:53,000 Speaker 8: One B counterparts. 448 00:24:54,080 --> 00:24:57,320 Speaker 3: Where did you go to get your workers? Mostly India? 449 00:24:57,480 --> 00:25:00,159 Speaker 10: Most of them were South Asia Indian. In fact, I 450 00:25:00,200 --> 00:25:02,520 Speaker 10: still have maintained relationships with a lot of them. One 451 00:25:02,560 --> 00:25:04,680 Speaker 10: other thing that's been missing in all of this, when 452 00:25:04,720 --> 00:25:07,520 Speaker 10: you're looking at a merit based immigration program, there's no 453 00:25:07,680 --> 00:25:10,600 Speaker 10: better kickstart for that than the H one B program 454 00:25:10,600 --> 00:25:13,840 Speaker 10: because a good percentage of those do become American citizens 455 00:25:13,880 --> 00:25:16,880 Speaker 10: over time, and they add so much value to our 456 00:25:16,960 --> 00:25:17,800 Speaker 10: employment sector. 457 00:25:18,560 --> 00:25:23,000 Speaker 3: Thank you for the call. David and Raleigh. You say 458 00:25:23,040 --> 00:25:25,480 Speaker 3: you have been an engineering manager. 459 00:25:25,560 --> 00:25:27,919 Speaker 4: I think that's what that says for fifteen years and 460 00:25:28,000 --> 00:25:30,159 Speaker 4: worked with a lot of H one B employees. 461 00:25:30,240 --> 00:25:33,400 Speaker 3: Your take, Yeah, I believe. 462 00:25:33,160 --> 00:25:36,679 Speaker 5: That for the most part. Laura's right. We're flooding the 463 00:25:36,720 --> 00:25:41,439 Speaker 5: market with too many engineers, and it's clearly disrupting the 464 00:25:41,440 --> 00:25:44,560 Speaker 5: supply chain of engineers. If you look at when I 465 00:25:44,600 --> 00:25:47,960 Speaker 5: came into the industry in the early two thousands, engineers 466 00:25:47,960 --> 00:25:51,440 Speaker 5: aren't making that much more than justice for inflation than 467 00:25:51,520 --> 00:25:55,159 Speaker 5: we were back then. But I think the bigger issue, 468 00:25:55,200 --> 00:25:57,280 Speaker 5: like when Lutnick came out and said, hey, it's gonna 469 00:25:57,280 --> 00:25:59,119 Speaker 5: be one hundred thousand per year per h one B, 470 00:25:59,800 --> 00:26:02,040 Speaker 5: a lot of us were excited because that would fix, 471 00:26:02,320 --> 00:26:04,760 Speaker 5: you know, the issue to a large extent. But what 472 00:26:04,800 --> 00:26:06,479 Speaker 5: will happen is the companies are just going to offshore 473 00:26:06,480 --> 00:26:10,400 Speaker 5: these jobs. We're already setting up design houses in India. 474 00:26:10,440 --> 00:26:15,359 Speaker 5: Every big fortune five hundred company has a design house 475 00:26:15,600 --> 00:26:19,000 Speaker 5: essentially under their umbrella in India right now, and they're 476 00:26:19,000 --> 00:26:21,399 Speaker 5: growing those right now. And so we're watching these jobs 477 00:26:21,440 --> 00:26:24,120 Speaker 5: just go straight to India. 478 00:26:24,200 --> 00:26:25,000 Speaker 3: Thank you for the call. 479 00:26:25,440 --> 00:26:27,680 Speaker 1: Well, you know, part of this is also the upstream, 480 00:26:27,760 --> 00:26:33,800 Speaker 1: downstream reality of when you have the consistent and systematic 481 00:26:34,359 --> 00:26:38,320 Speaker 1: undercutting of an American wage in a certain industry from 482 00:26:38,560 --> 00:26:41,160 Speaker 1: let's be honest, in the case of India, the most 483 00:26:41,160 --> 00:26:43,760 Speaker 1: populous country on Earth. There are a lot of Indians, 484 00:26:44,080 --> 00:26:46,959 Speaker 1: like one point three billion or something like that, and 485 00:26:47,000 --> 00:26:50,120 Speaker 1: when you have this going on, it's going to create 486 00:26:50,560 --> 00:26:55,840 Speaker 1: deficiencies in the American sector. Because Clay perfect example, when 487 00:26:55,840 --> 00:26:57,320 Speaker 1: I got out of school, when you got out of school. 488 00:26:57,720 --> 00:27:01,080 Speaker 1: Everybody in the top of my class at amor unless 489 00:27:01,119 --> 00:27:03,720 Speaker 1: you wanted to go Save America at the CIA, everybody 490 00:27:03,760 --> 00:27:06,399 Speaker 1: in the top of my class. There were two job 491 00:27:06,480 --> 00:27:11,520 Speaker 1: tracks for you, investment banking, management consulting. Both of those, 492 00:27:11,560 --> 00:27:14,960 Speaker 1: by the way, you could argue, where's the value add 493 00:27:15,000 --> 00:27:17,560 Speaker 1: long you know, there's there's a lot of more detailed discussions. 494 00:27:17,760 --> 00:27:19,920 Speaker 1: You know, there's been a whole series TV shows made 495 00:27:19,920 --> 00:27:23,080 Speaker 1: about management consulting and like how it's you know, yeah, 496 00:27:23,200 --> 00:27:25,760 Speaker 1: lower your costs, raise your profits, Like that's that's brilliant. 497 00:27:25,800 --> 00:27:28,040 Speaker 4: That's the one that's really being a race by AI 498 00:27:28,160 --> 00:27:30,280 Speaker 4: because you can plug the large data sets in. 499 00:27:30,359 --> 00:27:34,080 Speaker 1: But those were two areas where in your twenties, you know, 500 00:27:34,160 --> 00:27:35,760 Speaker 1: you could come out and you could start making And 501 00:27:35,760 --> 00:27:38,640 Speaker 1: I'm talking about twenty years ago, mind you, twenty years ago, 502 00:27:38,800 --> 00:27:41,000 Speaker 1: you could make two three hundred grand in your twenties 503 00:27:41,400 --> 00:27:44,560 Speaker 1: pretty pretty readily within a couple of years. I mean, 504 00:27:44,600 --> 00:27:47,480 Speaker 1: I think the starting salary at the investment banks I 505 00:27:47,560 --> 00:27:49,560 Speaker 1: got an offer from one at City Group was like 506 00:27:49,600 --> 00:27:52,280 Speaker 1: one hundred and fifty and then with bonus it could 507 00:27:52,280 --> 00:27:53,639 Speaker 1: be up to one hundred and you know, if it 508 00:27:53,680 --> 00:27:56,040 Speaker 1: was a good year anyway, very variable. But the point is, 509 00:27:56,600 --> 00:28:00,159 Speaker 1: you went to be an engineer, you make a like 510 00:28:00,200 --> 00:28:01,080 Speaker 1: seventy or eighty grand. 511 00:28:01,080 --> 00:28:02,159 Speaker 3: Now, I know it. A lot of you're saying, well, 512 00:28:02,160 --> 00:28:03,440 Speaker 3: that's a great job, that's a lot of money. 513 00:28:03,480 --> 00:28:06,000 Speaker 1: Sure, but if you had the grades to be a 514 00:28:06,119 --> 00:28:09,879 Speaker 1: top engineering recruit, you also probably had the grades to 515 00:28:09,960 --> 00:28:12,960 Speaker 1: go work at McKenzie and tell people how to run 516 00:28:12,960 --> 00:28:14,920 Speaker 1: their companies that you've never run before and make a 517 00:28:14,960 --> 00:28:17,600 Speaker 1: whole lot of money. So this is the I'm just 518 00:28:17,600 --> 00:28:20,879 Speaker 1: saying the incentives that have been set up because people 519 00:28:21,000 --> 00:28:24,320 Speaker 1: were thinking, oh, well, coding almost became or you know, 520 00:28:24,400 --> 00:28:26,520 Speaker 1: a lot of these computer skills that we're hiring h 521 00:28:26,560 --> 00:28:30,320 Speaker 1: oneb's for ore back office. And as long as you're 522 00:28:30,320 --> 00:28:32,600 Speaker 1: in a back office situation, you're never going to really 523 00:28:32,640 --> 00:28:34,960 Speaker 1: be rinting your own ticket and determining your own fate. 524 00:28:36,280 --> 00:28:38,640 Speaker 4: No doubt, we still got a bunch of calls. We'll 525 00:28:38,640 --> 00:28:40,800 Speaker 4: get to some of those calls when we come back. 526 00:28:40,840 --> 00:28:45,040 Speaker 4: I appreciate everybody reaching out and sharing what your perspectives 527 00:28:45,080 --> 00:28:48,840 Speaker 4: on what is a challenging situation. Will continue to break 528 00:28:48,880 --> 00:28:52,800 Speaker 4: all that down going forward. But in the meantime, Buck, 529 00:28:52,800 --> 00:28:54,120 Speaker 4: I think you got something for us here. 530 00:28:55,160 --> 00:28:55,600 Speaker 2: I do. 531 00:28:55,920 --> 00:29:00,680 Speaker 1: Indeed, my friends, Good Ranchers, I've got Captain flatt visiting 532 00:29:00,760 --> 00:29:04,840 Speaker 1: down here. That's right, Captain Flatley. He's a captain of 533 00:29:05,320 --> 00:29:09,880 Speaker 1: airlines or airline flying rather, and he likes a great 534 00:29:09,880 --> 00:29:13,480 Speaker 1: steak just like I do, and so does my wife, 535 00:29:13,520 --> 00:29:15,440 Speaker 1: and we go to Good Ranchers for them. 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You're gonna have a great time 545 00:29:45,320 --> 00:29:48,520 Speaker 1: with your family. And it's all really good, top quality, 546 00:29:48,600 --> 00:29:51,800 Speaker 1: top tier stuff too, No antibiotics, no hormones. 547 00:29:52,280 --> 00:29:54,440 Speaker 3: We're both subscribers, Clay and I. You should be too. 548 00:29:54,520 --> 00:29:57,680 Speaker 1: You'll get twenty five dollars off every box delivered, free shipping, 549 00:29:57,760 --> 00:30:00,560 Speaker 1: and a free gift in every order for all life, 550 00:30:00,720 --> 00:30:03,920 Speaker 1: the shop America's best meat. Visit goodranchers dot com. Start 551 00:30:03,960 --> 00:30:07,080 Speaker 1: your subscription today and if you order before December first, 552 00:30:07,080 --> 00:30:09,840 Speaker 1: and you're a first time subscriber, use my name Buck 553 00:30:09,840 --> 00:30:11,920 Speaker 1: as your promo code. You'll get an additional one hundred 554 00:30:11,960 --> 00:30:16,040 Speaker 1: dollars off your first three orders plus free meat for life. 555 00:30:16,360 --> 00:30:19,680 Speaker 1: That's code Buck for one hundred dollars off plus free 556 00:30:19,720 --> 00:30:23,000 Speaker 1: meat for life, Good ranchers dot Com code Buck. 557 00:30:23,320 --> 00:30:24,480 Speaker 3: You ain't imagining it. 558 00:30:25,480 --> 00:30:30,080 Speaker 6: The world has gone insane. Reclaim your sanity with Clay 559 00:30:30,120 --> 00:30:33,600 Speaker 6: and Buck. Find them on the free iHeartRadio app or 560 00:30:33,680 --> 00:30:35,560 Speaker 6: wherever you get your podcasts. 561 00:30:35,760 --> 00:30:39,360 Speaker 4: Welcome back in Clay Travis bock Sexton Show. We appreciate 562 00:30:39,400 --> 00:30:41,239 Speaker 4: all of you hanging out with us as we are 563 00:30:41,320 --> 00:30:44,760 Speaker 4: rolling through the Thursday edition of the program. Still have 564 00:30:44,800 --> 00:30:47,600 Speaker 4: a ton of people who want to weigh in this 565 00:30:47,840 --> 00:30:53,239 Speaker 4: h one b idea debate, I think is one that 566 00:30:53,360 --> 00:30:57,880 Speaker 4: many people have strong takes on. And let's see Jeff 567 00:30:57,880 --> 00:30:59,280 Speaker 4: and New Orleans what you got for us. 568 00:30:59,360 --> 00:31:05,320 Speaker 8: Jeff, I used to be an engineer and got forced 569 00:31:05,320 --> 00:31:07,959 Speaker 8: out of that career field because of the H one 570 00:31:08,080 --> 00:31:09,200 Speaker 8: v vass. 571 00:31:09,560 --> 00:31:12,680 Speaker 4: Because you were competing with foreign sorry, because you were 572 00:31:12,720 --> 00:31:15,000 Speaker 4: forced out because there were people who would take lower 573 00:31:15,040 --> 00:31:16,920 Speaker 4: salaries to do the job that you were doing. 574 00:31:18,120 --> 00:31:21,480 Speaker 8: Correct And one case in particular one of my coworkers, 575 00:31:22,720 --> 00:31:26,320 Speaker 8: when you're not in union, there's no set pay rates, 576 00:31:26,520 --> 00:31:29,800 Speaker 8: no pay grades, and so you just negotiate for whatever 577 00:31:29,840 --> 00:31:33,840 Speaker 8: you want. Well, I had one particular coworker who had 578 00:31:34,120 --> 00:31:38,720 Speaker 8: never been in the United States before and negotiated his 579 00:31:38,920 --> 00:31:42,000 Speaker 8: salary based on what he thought his budget was going 580 00:31:42,080 --> 00:31:45,560 Speaker 8: to be. He knew what a one bedroom apartment in mumbaikos, 581 00:31:46,160 --> 00:31:48,840 Speaker 8: he knew what the exchange rate was, He could do 582 00:31:48,920 --> 00:31:51,160 Speaker 8: the math, and so he figured that he could get 583 00:31:51,160 --> 00:31:54,320 Speaker 8: a one bedroom apartment in the middle of downtown Chicago 584 00:31:54,800 --> 00:31:57,680 Speaker 8: for four hundred and fifty dollars a month, and he 585 00:31:57,760 --> 00:32:01,880 Speaker 8: negotiated his salary based on that. Then he gets the 586 00:32:01,960 --> 00:32:05,760 Speaker 8: United States and he realizes he's been screwed, and he 587 00:32:05,880 --> 00:32:09,840 Speaker 8: calls the Home Office asking for a pay raise. After 588 00:32:09,840 --> 00:32:13,840 Speaker 8: they stop laughing at him, they said, you've got two choices. 589 00:32:14,040 --> 00:32:17,400 Speaker 8: You can either fulfill the contract as you originally signed it, 590 00:32:17,720 --> 00:32:18,760 Speaker 8: or you can get deported. 591 00:32:19,000 --> 00:32:19,920 Speaker 5: That's the end of it. 592 00:32:21,120 --> 00:32:24,600 Speaker 8: And I'm having a call gotihape my own salary competing 593 00:32:24,680 --> 00:32:25,200 Speaker 8: against this. 594 00:32:25,960 --> 00:32:27,000 Speaker 3: Yeah, look, thanks for the call. 595 00:32:27,120 --> 00:32:29,320 Speaker 4: This is what's not supposed to happen, Buck, but that 596 00:32:29,480 --> 00:32:34,240 Speaker 4: many people feel is happening, which is American based workers 597 00:32:34,640 --> 00:32:39,320 Speaker 4: are competing with H one B employees who are actually 598 00:32:39,400 --> 00:32:40,560 Speaker 4: doing the same jobs. 599 00:32:40,920 --> 00:32:44,680 Speaker 1: This is where I think we need to inject also 600 00:32:44,720 --> 00:32:50,560 Speaker 1: into the conversation America and Americans. First, I'm hearing a 601 00:32:50,600 --> 00:32:53,840 Speaker 1: lot of on the more pro H one B side, Oh, 602 00:32:53,880 --> 00:32:56,600 Speaker 1: they work so hard, Oh they'll work for a little 603 00:32:56,600 --> 00:32:58,440 Speaker 1: bit less pay, or whatever it is. And to this 604 00:32:58,480 --> 00:33:02,959 Speaker 1: I just want to say, yeah, but Americans should get priority. 605 00:33:03,760 --> 00:33:06,680 Speaker 1: I don't think it should be a controversial thing. Someone 606 00:33:06,680 --> 00:33:11,080 Speaker 1: should have to be clay so much better than their 607 00:33:11,120 --> 00:33:13,800 Speaker 1: American counterpart for us to say we're going to bring 608 00:33:13,840 --> 00:33:15,400 Speaker 1: you from wherever you are on the other side of 609 00:33:15,400 --> 00:33:17,440 Speaker 1: the world. You're not an American. We're going to put 610 00:33:17,480 --> 00:33:19,040 Speaker 1: you in a chair and pay you a salary and 611 00:33:19,080 --> 00:33:22,480 Speaker 1: give you a role that an American could do. It 612 00:33:22,520 --> 00:33:25,360 Speaker 1: really should only be that an American. It's not possible. 613 00:33:25,600 --> 00:33:27,640 Speaker 1: I keep hearing like, oh, they're a little more efficient, 614 00:33:27,760 --> 00:33:30,600 Speaker 1: or they take a little less pay, or they the 615 00:33:30,640 --> 00:33:33,040 Speaker 1: whole program was set it wasn't set up so that 616 00:33:33,080 --> 00:33:35,480 Speaker 1: a company can have a little advantage over other companies. 617 00:33:35,520 --> 00:33:38,040 Speaker 1: It was there is nobody else who can do this, 618 00:33:38,480 --> 00:33:40,720 Speaker 1: and I'm not here, and a lot of there's nobody 619 00:33:40,720 --> 00:33:42,880 Speaker 1: else who can do this, I'm hearing, well, I had 620 00:33:42,920 --> 00:33:44,360 Speaker 1: some good experiences with that. 621 00:33:44,440 --> 00:33:47,160 Speaker 4: Well, what a good analogy that you made earlier, and 622 00:33:47,160 --> 00:33:49,960 Speaker 4: I think one of our callers made is if sho 623 00:33:50,040 --> 00:33:54,280 Speaker 4: hey Otani, you know, is a such a unique talent 624 00:33:54,440 --> 00:33:57,200 Speaker 4: in Major League Baseball. I don't know if he's qualifying 625 00:33:57,360 --> 00:33:59,080 Speaker 4: some of you guys may know. I don't know if 626 00:33:59,160 --> 00:34:02,400 Speaker 4: athletes qualify under H one B VSUS to be able 627 00:34:02,400 --> 00:34:04,800 Speaker 4: to come in. But if you are one of the 628 00:34:04,840 --> 00:34:08,680 Speaker 4: best in the world at what you do and otherwise 629 00:34:08,719 --> 00:34:10,840 Speaker 4: you would not be able to come into the country, 630 00:34:11,040 --> 00:34:13,880 Speaker 4: that's a great example. You mentioned the NBA. The NBA 631 00:34:14,000 --> 00:34:17,280 Speaker 4: is a global game, the best basketball players in the world. 632 00:34:17,320 --> 00:34:19,920 Speaker 4: There's only whatever it is, four hundred and fifty jobs 633 00:34:19,920 --> 00:34:23,440 Speaker 4: that NBA players do. If seventy five of them are 634 00:34:23,600 --> 00:34:25,640 Speaker 4: foreigners and they happen to be one of the best 635 00:34:25,640 --> 00:34:29,000 Speaker 4: four hundred and fifty people at something, but to your point, 636 00:34:29,280 --> 00:34:32,160 Speaker 4: there's a lot of Yeah, basically, this guy has a 637 00:34:32,160 --> 00:34:35,000 Speaker 4: skill set that's very similar to the skill sets that 638 00:34:35,080 --> 00:34:37,759 Speaker 4: exist in the United States. They are not one of 639 00:34:37,800 --> 00:34:41,600 Speaker 4: the best extraordinary talent people. And this is what Jay 640 00:34:41,640 --> 00:34:43,560 Speaker 4: and Florida is saying, Jay, what you got for us? 641 00:34:45,480 --> 00:34:45,800 Speaker 2: Yeah? 642 00:34:46,320 --> 00:34:46,880 Speaker 10: You're there? 643 00:34:47,360 --> 00:34:53,000 Speaker 11: Yeah, yeah, okay yeah. I think if listening to the 644 00:34:53,040 --> 00:34:55,880 Speaker 11: conversations here, I think you can notice that the people 645 00:34:55,920 --> 00:34:58,440 Speaker 11: that have been speaking in favor of the H one 646 00:34:58,480 --> 00:35:01,839 Speaker 11: b ones are people that are doing the engineering. They're 647 00:35:01,840 --> 00:35:05,040 Speaker 11: the ones that are managing higher up in the companies 648 00:35:05,080 --> 00:35:09,440 Speaker 11: whose bonuses depend on how little their department spends on 649 00:35:09,560 --> 00:35:14,200 Speaker 11: what they're trying to accomplish. But I've got my son 650 00:35:15,040 --> 00:35:19,040 Speaker 11: has a master's electrical engineering. He's been working for a 651 00:35:19,080 --> 00:35:21,960 Speaker 11: major defense contractor for about the last ten years, and 652 00:35:22,000 --> 00:35:25,160 Speaker 11: his job, which he really enjoys, was to, you know, 653 00:35:25,239 --> 00:35:28,160 Speaker 11: be given a project, design it, take it into the lab, 654 00:35:28,280 --> 00:35:33,239 Speaker 11: test it, and you know, produce the product and then 655 00:35:33,400 --> 00:35:36,160 Speaker 11: go around and market it. But what has happened over 656 00:35:36,160 --> 00:35:39,680 Speaker 11: the last few years is that basically he was told 657 00:35:39,719 --> 00:35:41,920 Speaker 11: that why should we use you when we can hire 658 00:35:43,120 --> 00:35:47,479 Speaker 11: five engineers for your salary from India or China. Now 659 00:35:47,840 --> 00:35:52,160 Speaker 11: he's a defense contractor and supposedly the people that are. 660 00:35:52,719 --> 00:35:55,400 Speaker 11: You know, these are classified jobs are not supposed to 661 00:35:55,400 --> 00:36:02,840 Speaker 11: be worked on by foreigners. And what he has become 662 00:36:02,920 --> 00:36:05,000 Speaker 11: now is they've tiken him out of the lab and 663 00:36:05,040 --> 00:36:05,799 Speaker 11: he's become like. 664 00:36:05,800 --> 00:36:08,000 Speaker 8: The face of the. 665 00:36:07,920 --> 00:36:11,080 Speaker 11: Products where he's going around to other defense contractors to 666 00:36:11,480 --> 00:36:14,560 Speaker 11: try to convince them to use our product. And he's 667 00:36:14,600 --> 00:36:18,880 Speaker 11: talking with the American faces of those other defense contracts. 668 00:36:18,880 --> 00:36:20,600 Speaker 4: Thank you for the call. Sorry to cut you off. 669 00:36:20,600 --> 00:36:23,040 Speaker 4: We're coming up on the end of the hour, so 670 00:36:23,080 --> 00:36:26,479 Speaker 4: we have a hard out. I think the other interplay here, 671 00:36:26,560 --> 00:36:30,040 Speaker 4: which this gentleman's talking about is H one B requires 672 00:36:30,080 --> 00:36:33,319 Speaker 4: you to come to the country. They're certainly still a 673 00:36:33,360 --> 00:36:36,000 Speaker 4: lot of offshoring, which is what he was saying, like 674 00:36:36,080 --> 00:36:39,440 Speaker 4: his son's job, based on his salary, can be replaced 675 00:36:39,480 --> 00:36:43,839 Speaker 4: by Indians working overseas, and that is part of the 676 00:36:43,880 --> 00:36:46,320 Speaker 4: interplay here, but a little bit of a different dynamic. 677 00:36:46,400 --> 00:36:48,200 Speaker 4: We come back a couple of breaking news stories we 678 00:36:48,239 --> 00:36:48,839 Speaker 4: want to hit you with.