1 00:00:00,840 --> 00:00:03,760 Speaker 1: Welcome to the Tutor Dixon Podcast. Today, we are going 2 00:00:03,800 --> 00:00:06,760 Speaker 1: to be talking about H one B visus. I know 3 00:00:06,840 --> 00:00:08,799 Speaker 1: you're all like, why would we talk about that, but 4 00:00:08,960 --> 00:00:11,479 Speaker 1: come on, let's be honest. Everybody right now is going 5 00:00:11,800 --> 00:00:14,320 Speaker 1: what is the deal with these H one B visas. 6 00:00:14,400 --> 00:00:16,240 Speaker 2: I have my own opinion on them. 7 00:00:16,520 --> 00:00:20,479 Speaker 1: I've had my own experience with having struggles getting workers, 8 00:00:20,520 --> 00:00:23,279 Speaker 1: and I just well, we'll get into all of it 9 00:00:23,320 --> 00:00:25,439 Speaker 1: and I'll tell you exactly how I feel. But I 10 00:00:25,520 --> 00:00:28,200 Speaker 1: decided I needed someone who was really smart on this 11 00:00:28,360 --> 00:00:30,600 Speaker 1: and really can talk about it. So we're bringing in 12 00:00:31,280 --> 00:00:34,640 Speaker 1: Sam Murjovski with us. He is a lawyer and radio 13 00:00:34,680 --> 00:00:37,920 Speaker 1: host out of Nevada, and he is going to dive 14 00:00:38,000 --> 00:00:39,360 Speaker 1: into this issue with us. 15 00:00:39,600 --> 00:00:41,400 Speaker 2: Sam, thank you so much for joining me. 16 00:00:41,840 --> 00:00:44,199 Speaker 3: Well, Tudor, great to have, great to be here with you, 17 00:00:44,280 --> 00:00:45,000 Speaker 3: Thanks for having me. 18 00:00:45,520 --> 00:00:46,360 Speaker 2: Absolutely so. 19 00:00:46,760 --> 00:00:50,400 Speaker 1: We are obviously watching people back and forth discuss this. 20 00:00:50,479 --> 00:00:54,480 Speaker 1: There were these tweets from I guess it was Vivak 21 00:00:54,560 --> 00:00:59,000 Speaker 1: Ramaswami who was tweeting out about bringing in outside workers. 22 00:00:59,320 --> 00:01:02,000 Speaker 1: A lot of people have historically felt like we needed 23 00:01:02,000 --> 00:01:05,119 Speaker 1: to get tech workers with H one B visas, and 24 00:01:05,200 --> 00:01:08,280 Speaker 1: now there's an argument that while we'd rather just use 25 00:01:08,319 --> 00:01:11,520 Speaker 1: American workers. Why are we relying on this? So give me, 26 00:01:11,760 --> 00:01:14,319 Speaker 1: like your background on this whole situation. 27 00:01:14,959 --> 00:01:18,560 Speaker 3: Well, so you know, part of my personal story, my 28 00:01:18,600 --> 00:01:23,199 Speaker 3: parents came to this country immigrants from Europe. My mother 29 00:01:23,319 --> 00:01:25,399 Speaker 3: is a is a scientist, and she came in on 30 00:01:25,440 --> 00:01:27,880 Speaker 3: an H one B visa. So, I you know, my 31 00:01:28,040 --> 00:01:31,039 Speaker 3: part of my story I have to be transparent about 32 00:01:31,080 --> 00:01:33,720 Speaker 3: this is that you know, I'm here because of this program. Now, 33 00:01:33,720 --> 00:01:37,440 Speaker 3: that was back in nineteen seventy seven, and I would 34 00:01:37,480 --> 00:01:39,399 Speaker 3: I would go on to say my mom, you know, 35 00:01:39,480 --> 00:01:42,199 Speaker 3: contributed to science in a profound way. 36 00:01:42,240 --> 00:01:42,679 Speaker 4: I mean she. 37 00:01:43,400 --> 00:01:46,920 Speaker 3: Created a drug called proper fall, which is used in 38 00:01:47,000 --> 00:01:50,400 Speaker 3: every you know, general anesthesia basically across the country, across 39 00:01:50,440 --> 00:01:53,120 Speaker 3: the world. So you know, she's not a slouch, and 40 00:01:53,160 --> 00:01:54,880 Speaker 3: she's the kind of person that, of course we want 41 00:01:54,880 --> 00:01:57,760 Speaker 3: to attract to the country that are bringing you know, 42 00:01:57,800 --> 00:01:59,880 Speaker 3: technical skill, know how and expertise. 43 00:02:00,080 --> 00:02:02,360 Speaker 1: So I would argue that that was back at a 44 00:02:02,400 --> 00:02:06,400 Speaker 1: time when this was not abused. And I say that 45 00:02:06,440 --> 00:02:08,840 Speaker 1: because I think now it is abused in a way 46 00:02:08,919 --> 00:02:13,440 Speaker 1: where we have people coming over here, they are coming 47 00:02:13,440 --> 00:02:16,680 Speaker 1: over here getting our technology taking it back. There's just 48 00:02:17,360 --> 00:02:20,720 Speaker 1: a whole lot of mystery around whether or not we're 49 00:02:20,760 --> 00:02:23,880 Speaker 1: getting good people to come over here, whether or not 50 00:02:23,880 --> 00:02:26,440 Speaker 1: we're just taking a group from one country. 51 00:02:26,520 --> 00:02:28,320 Speaker 2: You know, there's a lot of abuse. 52 00:02:28,400 --> 00:02:31,640 Speaker 1: I would say with hm BB's is because any program 53 00:02:31,880 --> 00:02:35,040 Speaker 1: that starts out well, if it's not monitored, can be abused. 54 00:02:35,639 --> 00:02:38,240 Speaker 3: Well, that's that's one thousand percent correct. And what I'm 55 00:02:38,280 --> 00:02:40,320 Speaker 3: seeing when and I've spent a lot of time pouring 56 00:02:40,400 --> 00:02:43,639 Speaker 3: over the data. It's all publicly available, and it's fascinating, 57 00:02:44,120 --> 00:02:47,080 Speaker 3: I really get the impression that a lot of employers 58 00:02:47,160 --> 00:02:51,600 Speaker 3: out there just want to get people to work for less. 59 00:02:51,720 --> 00:02:52,720 Speaker 4: I mean, I mean, that's what it is. 60 00:02:52,720 --> 00:02:55,640 Speaker 3: If you look at prevailing wages in certain areas, you 61 00:02:55,680 --> 00:02:58,360 Speaker 3: know they're they're attracting you know, let's say, you know, 62 00:02:58,600 --> 00:03:01,720 Speaker 3: a data and analyst for you know, seventy five to 63 00:03:01,720 --> 00:03:03,960 Speaker 3: eighty thousand dollars a year when they know that they 64 00:03:04,000 --> 00:03:06,639 Speaker 3: would have to pay you know, a domestic you know, 65 00:03:06,639 --> 00:03:10,080 Speaker 3: an American whatever resident or a citizen you know, maybe 66 00:03:10,080 --> 00:03:12,920 Speaker 3: one twenty one thirty for the same job. And that's 67 00:03:13,080 --> 00:03:15,800 Speaker 3: not what it's intended to do. That's to me, that's 68 00:03:15,840 --> 00:03:17,760 Speaker 3: that's an abuse of the system, and that you know, 69 00:03:17,800 --> 00:03:19,639 Speaker 3: the numbers bear it out too, just in the in 70 00:03:19,680 --> 00:03:23,560 Speaker 3: the in the sheer number and the growth, exponential boom 71 00:03:23,840 --> 00:03:28,680 Speaker 3: of applications by companies to bring these workers in. So 72 00:03:28,840 --> 00:03:30,920 Speaker 3: both on the you know, both on the on the 73 00:03:30,960 --> 00:03:33,920 Speaker 3: security side, you know, I would I'd be very suspicious 74 00:03:33,960 --> 00:03:36,800 Speaker 3: from countries that are hostile to us, for example, China 75 00:03:37,440 --> 00:03:40,720 Speaker 3: bringing in you know, bringing in skilled workers, because you know, 76 00:03:41,520 --> 00:03:44,520 Speaker 3: I mean, I I'll tell you I know this firsthand. 77 00:03:44,840 --> 00:03:48,400 Speaker 3: You know, the most innocuous people are all required to 78 00:03:48,480 --> 00:03:51,040 Speaker 3: report back to Beijing. They have handlers in the US. 79 00:03:51,520 --> 00:03:54,760 Speaker 3: It's something we I think as Americans can't even wrap 80 00:03:54,760 --> 00:03:57,240 Speaker 3: our minds around to realize just how much we are 81 00:03:57,280 --> 00:04:00,480 Speaker 3: being we are being violated on this. 82 00:04:01,440 --> 00:04:03,760 Speaker 1: So this is what we've been trying to explain to 83 00:04:03,800 --> 00:04:07,920 Speaker 1: people because certainly in Michigan, we've seen this factory that's 84 00:04:07,960 --> 00:04:10,920 Speaker 1: coming here, and initially this story was, well, we're going 85 00:04:11,000 --> 00:04:11,640 Speaker 1: to bring. 86 00:04:11,760 --> 00:04:13,040 Speaker 2: This is how bizarre this was. 87 00:04:13,160 --> 00:04:16,360 Speaker 1: Initially the story was they were bringing this factory over. 88 00:04:16,640 --> 00:04:20,000 Speaker 1: It would be run by Chinese nationals with a few Americans, 89 00:04:20,360 --> 00:04:22,960 Speaker 1: and then the workers would actually live in the local 90 00:04:23,040 --> 00:04:25,640 Speaker 1: dorms and they would be Chinese nationals that they would 91 00:04:25,640 --> 00:04:27,080 Speaker 1: bring over as well. Well. 92 00:04:27,120 --> 00:04:28,599 Speaker 2: Once that actually went. 93 00:04:29,960 --> 00:04:32,479 Speaker 1: National and people started to really hear, okay, this is 94 00:04:32,480 --> 00:04:32,840 Speaker 1: the news. 95 00:04:33,240 --> 00:04:33,680 Speaker 2: Well we're not. 96 00:04:33,720 --> 00:04:37,279 Speaker 1: Actually the workers will be Michigan people. The workers will 97 00:04:37,279 --> 00:04:40,760 Speaker 1: be Americans. We'll have a few Chinese nationals. But again, 98 00:04:41,080 --> 00:04:45,320 Speaker 1: you have that to me is a very big problem 99 00:04:45,360 --> 00:04:48,640 Speaker 1: when you have people who are connected. I mean, there's 100 00:04:48,640 --> 00:04:52,400 Speaker 1: nobody that's buying a company that is a Chinese company 101 00:04:52,400 --> 00:04:55,000 Speaker 1: owner that is not connected to the CCP. They're all 102 00:04:55,040 --> 00:04:59,080 Speaker 1: reporting back, they're all pledging their allegiance to g and 103 00:04:59,120 --> 00:05:00,960 Speaker 1: they're all given information back. 104 00:05:01,000 --> 00:05:02,920 Speaker 2: So that's an area where I think that we all 105 00:05:02,960 --> 00:05:03,320 Speaker 2: have to. 106 00:05:03,240 --> 00:05:06,240 Speaker 1: Be careful whether it is a corporation or whether it's 107 00:05:06,240 --> 00:05:09,159 Speaker 1: a corporation that is being built by the Chinese. But 108 00:05:09,240 --> 00:05:13,920 Speaker 1: we also do see that they are these corporations are 109 00:05:13,960 --> 00:05:18,560 Speaker 1: bringing people over to save money. They're making record profits 110 00:05:18,600 --> 00:05:21,320 Speaker 1: saving money. And let me go back to you talk 111 00:05:21,360 --> 00:05:24,240 Speaker 1: about this being a program that was helpful for your 112 00:05:24,279 --> 00:05:26,760 Speaker 1: mom in the seventies, but that was also a time 113 00:05:26,920 --> 00:05:30,240 Speaker 1: when it wasn't the natural progression to go from high 114 00:05:30,279 --> 00:05:34,200 Speaker 1: school straight to college, that every American wasn't necessarily getting 115 00:05:34,240 --> 00:05:34,920 Speaker 1: a degree. 116 00:05:35,120 --> 00:05:36,120 Speaker 2: Now it really is. 117 00:05:36,200 --> 00:05:39,159 Speaker 1: A situation where most people are getting degrees, and most 118 00:05:39,160 --> 00:05:42,400 Speaker 1: people are getting degrees in tech or science or something 119 00:05:42,480 --> 00:05:45,600 Speaker 1: like that. There's plenty of Americans that are and I'm 120 00:05:45,600 --> 00:05:48,320 Speaker 1: not saying that it shouldn't exist. I'm just saying that 121 00:05:48,360 --> 00:05:51,600 Speaker 1: there's more opportunity to hire Americans that have those degrees, 122 00:05:52,000 --> 00:05:55,000 Speaker 1: and they are getting passed up because they can buy 123 00:05:55,040 --> 00:05:56,880 Speaker 1: someone else for a lot less money. 124 00:05:57,480 --> 00:06:01,280 Speaker 3: Well, right, and so there's there's there's three different things 125 00:06:01,320 --> 00:06:04,039 Speaker 3: that you went over there. They're all excellent points, sort 126 00:06:04,080 --> 00:06:08,880 Speaker 3: of working backwards, you know, the I am look at Apple, right, 127 00:06:08,920 --> 00:06:11,560 Speaker 3: Apple I think is one of the abusers of the program, 128 00:06:11,920 --> 00:06:15,120 Speaker 3: and they have the means. They're sitting on billions of 129 00:06:15,120 --> 00:06:18,719 Speaker 3: dollars in cash. They could afford to pay more for 130 00:06:18,920 --> 00:06:22,680 Speaker 3: these STEM jobs. They could And what will happen is 131 00:06:22,720 --> 00:06:25,560 Speaker 3: and you're exactly right, I mean, can you imagine, I 132 00:06:25,800 --> 00:06:28,000 Speaker 3: mean if if these jobs did pay more. And I 133 00:06:28,040 --> 00:06:30,960 Speaker 3: know a lot of high you know, high intellect people, 134 00:06:31,080 --> 00:06:34,400 Speaker 3: high you know brain power people that I certainly grew 135 00:06:34,480 --> 00:06:36,880 Speaker 3: up with. How come more of them didn't go into STEM? 136 00:06:37,040 --> 00:06:39,160 Speaker 3: And the reason that they went into finance and they 137 00:06:39,160 --> 00:06:42,000 Speaker 3: went into law is because you know, there's more money there. 138 00:06:42,600 --> 00:06:47,080 Speaker 3: And so but what I mean Apple and Google and 139 00:06:47,360 --> 00:06:51,000 Speaker 3: Meta and all these companies are are hugely profitable companies. 140 00:06:51,440 --> 00:06:54,120 Speaker 3: Why are they not paying more? And the answer is 141 00:06:54,160 --> 00:06:57,640 Speaker 3: because they can get away with paying less. And that's 142 00:06:57,880 --> 00:07:00,800 Speaker 3: that's not okay. And to that and I think that 143 00:07:01,640 --> 00:07:04,320 Speaker 3: I think that the you know, I think that the 144 00:07:05,160 --> 00:07:08,120 Speaker 3: more you know, I don't I don't say natives, but 145 00:07:08,120 --> 00:07:11,280 Speaker 3: but that that part of the MAGA movement is has 146 00:07:11,320 --> 00:07:13,320 Speaker 3: a point. They have a valid point. Why are we 147 00:07:13,360 --> 00:07:15,560 Speaker 3: in these communities? So now, going kind of back to 148 00:07:15,560 --> 00:07:17,400 Speaker 3: what you were saying earlier about that factory that you 149 00:07:17,440 --> 00:07:20,000 Speaker 3: were describing, where they're going to just import workers and 150 00:07:20,040 --> 00:07:24,240 Speaker 3: become a Chinese colony on US soil. Yes, now here's 151 00:07:24,240 --> 00:07:26,960 Speaker 3: an What I would want to know is how many 152 00:07:27,040 --> 00:07:30,240 Speaker 3: people in that town are on welfare or on some 153 00:07:30,280 --> 00:07:33,880 Speaker 3: sort of public support who cannot get work, and we 154 00:07:33,920 --> 00:07:37,000 Speaker 3: are we would be importing foreign labor into that town 155 00:07:37,160 --> 00:07:41,120 Speaker 3: and at the same time subsidizing Americans sitting at home. 156 00:07:41,680 --> 00:07:43,800 Speaker 3: And to me, we can't be a competitive economy. I'm 157 00:07:43,800 --> 00:07:45,680 Speaker 3: talking about competitiveness, right, you see, but oh, we have 158 00:07:45,720 --> 00:07:47,840 Speaker 3: to be a competitive economy. We're going to keep pumping, 159 00:07:48,000 --> 00:07:49,600 Speaker 3: you know, cheap labor into the country. We're not going 160 00:07:49,640 --> 00:07:52,440 Speaker 3: to be competitive. How can we be competitive if we're 161 00:07:52,480 --> 00:07:56,280 Speaker 3: going to be literally subsidizing people sitting on their rump 162 00:07:56,360 --> 00:07:58,720 Speaker 3: is doing nothing. And at the same time, you know, 163 00:07:59,280 --> 00:08:02,640 Speaker 3: just just opening our doors to our frankly, to powers 164 00:08:02,640 --> 00:08:06,280 Speaker 3: that are hostile to us. And then finally you're you're 165 00:08:06,400 --> 00:08:09,760 Speaker 3: absolutely right. I'm not going to labor the point about, 166 00:08:09,840 --> 00:08:12,360 Speaker 3: you know, the spying in the espionage, but I you know, 167 00:08:12,360 --> 00:08:15,040 Speaker 3: I used to live in Irvine, California, and it's a 168 00:08:15,080 --> 00:08:17,160 Speaker 3: lot of Chinese people. They are very wealthy people who 169 00:08:17,160 --> 00:08:19,720 Speaker 3: own factories, and we had neighbors and I'll never forget, 170 00:08:20,000 --> 00:08:22,320 Speaker 3: you know. I was I was asking a group of 171 00:08:22,400 --> 00:08:24,440 Speaker 3: you know, Chinese neighbors that it will get together about 172 00:08:24,440 --> 00:08:27,000 Speaker 3: something that was going on in China, and nobody wanted 173 00:08:27,040 --> 00:08:30,360 Speaker 3: to say a thing. And about a year later, I 174 00:08:30,440 --> 00:08:33,000 Speaker 3: was with one of the families and uh, and the 175 00:08:33,000 --> 00:08:35,640 Speaker 3: guy goes, oh, I couldn't tell you this when we 176 00:08:35,640 --> 00:08:38,120 Speaker 3: were all there together, and I said, go on, I 177 00:08:38,200 --> 00:08:40,160 Speaker 3: knew where it was headed because I'm familiar with this, 178 00:08:40,280 --> 00:08:43,120 Speaker 3: and he goes, they're all, we all they all report 179 00:08:43,400 --> 00:08:47,040 Speaker 3: to their handlers, and they would I can't lose my factories. 180 00:08:47,080 --> 00:08:48,920 Speaker 4: So I can't speak openly. 181 00:08:49,760 --> 00:08:51,800 Speaker 2: Wow, in the US. 182 00:08:51,920 --> 00:08:55,239 Speaker 3: This is in the United States of America, in California, 183 00:08:55,320 --> 00:08:58,480 Speaker 3: in Irvine. I mean I experienced it firsthand. So you 184 00:08:58,520 --> 00:09:00,000 Speaker 3: are one thousand percent correct. 185 00:09:00,559 --> 00:09:03,200 Speaker 1: Well, I will you mentioned Apple, and I will just 186 00:09:03,240 --> 00:09:06,600 Speaker 1: say that I think there's a few issues there that 187 00:09:07,120 --> 00:09:11,240 Speaker 1: I really believe the Trump administration should look into. Because 188 00:09:11,280 --> 00:09:15,680 Speaker 1: you have iPhone City in China. iPhone City is essentially 189 00:09:15,760 --> 00:09:19,959 Speaker 1: slave labor. We should not be allowing an American corporation 190 00:09:20,280 --> 00:09:23,200 Speaker 1: to use slave labor. And then you have them bringing 191 00:09:23,240 --> 00:09:26,880 Speaker 1: people in and they're paying low wages here, and the 192 00:09:26,920 --> 00:09:28,960 Speaker 1: whole thing it reeks. 193 00:09:29,160 --> 00:09:32,559 Speaker 2: It's it's actually very It makes me very uncomfortable. 194 00:09:32,760 --> 00:09:35,560 Speaker 1: And I admit, you get to a point where you're like, oh, well, 195 00:09:35,679 --> 00:09:38,160 Speaker 1: everybody has an Apple phone, everybody has an Apple Watch, 196 00:09:38,240 --> 00:09:40,200 Speaker 1: you know, but when you really look at the way 197 00:09:40,240 --> 00:09:42,640 Speaker 1: they treat people, it's concerning. 198 00:09:44,160 --> 00:09:46,720 Speaker 3: Well, it is, and you know, some of it is 199 00:09:46,840 --> 00:09:50,079 Speaker 3: you know, once removed via like companies like Fox con right, 200 00:09:50,559 --> 00:09:55,000 Speaker 3: But you're you're absolutely correct, and you know, and I 201 00:09:55,040 --> 00:09:58,439 Speaker 3: love it because at least, at least we conservatives are 202 00:09:58,520 --> 00:10:01,400 Speaker 3: are open and acknowledge this problem. And and you've got 203 00:10:01,400 --> 00:10:04,720 Speaker 3: the virtue signaling left that that talks about human trafficking 204 00:10:04,760 --> 00:10:06,840 Speaker 3: and slave labor and Liverpool wages and everything, and then 205 00:10:06,840 --> 00:10:10,160 Speaker 3: they perfectly are fine buying everything from China. So you know, 206 00:10:10,240 --> 00:10:14,000 Speaker 3: this is where I think Trump's tariffs are actually the 207 00:10:14,400 --> 00:10:17,240 Speaker 3: right weapon to use against this. And you'll hear a 208 00:10:17,280 --> 00:10:20,920 Speaker 3: lot of very smart people arguing against it, and I think, 209 00:10:21,200 --> 00:10:23,240 Speaker 3: I think, look, I mean this my phone I've got. 210 00:10:23,280 --> 00:10:25,400 Speaker 3: I'm looking at an iPhone right here, and and I 211 00:10:25,440 --> 00:10:27,199 Speaker 3: love my iPhone. I'm not you know, I'm not really, 212 00:10:27,240 --> 00:10:29,360 Speaker 3: But it's fourteen hundred and fifteen hundred bucks now for 213 00:10:29,400 --> 00:10:29,880 Speaker 3: an iPhone? 214 00:10:30,080 --> 00:10:30,240 Speaker 4: Yes? 215 00:10:30,400 --> 00:10:31,920 Speaker 3: And what did it cost to produce? 216 00:10:32,679 --> 00:10:33,280 Speaker 2: Right? Yeah? 217 00:10:33,280 --> 00:10:34,720 Speaker 4: And and where is that? 218 00:10:34,800 --> 00:10:41,160 Speaker 3: And and is that right that American workers aren't producing this? 219 00:10:41,520 --> 00:10:44,240 Speaker 3: And and and who's to say that, you know, who's 220 00:10:44,280 --> 00:10:46,800 Speaker 3: to say that the that that we couldn't produce it 221 00:10:46,840 --> 00:10:53,040 Speaker 3: domestically somewhere in that general range of price? Uh and 222 00:10:53,040 --> 00:10:55,480 Speaker 3: and and still be able to produce a profit for Apple. 223 00:10:55,559 --> 00:10:58,920 Speaker 3: So it's just there isn't there is an ethical component 224 00:10:59,000 --> 00:11:02,760 Speaker 3: to this, and bringing manufacturing back to this country isn't 225 00:11:02,880 --> 00:11:05,599 Speaker 3: just something that's important for economy, it's important for a 226 00:11:05,720 --> 00:11:07,000 Speaker 3: national security. 227 00:11:06,559 --> 00:11:10,320 Speaker 1: Too, absolutely, because every iPhone that comes in from China. 228 00:11:10,440 --> 00:11:11,760 Speaker 2: I mean, give me a break. 229 00:11:11,840 --> 00:11:14,880 Speaker 1: We're concerned about Huawei, We're concerned about any type of 230 00:11:15,120 --> 00:11:17,720 Speaker 1: tech that's coming in. Every single one of us is 231 00:11:17,760 --> 00:11:21,320 Speaker 1: holding carrying something with us everywhere we go that comes 232 00:11:21,320 --> 00:11:24,800 Speaker 1: in and could potentially have some tracking device from China, 233 00:11:24,840 --> 00:11:26,640 Speaker 1: and we know we're being tracked all the time. You know, 234 00:11:26,920 --> 00:11:29,360 Speaker 1: like the idea that we think that we're safe by 235 00:11:29,679 --> 00:11:32,760 Speaker 1: getting rid of one app, you're using a device that 236 00:11:32,840 --> 00:11:37,040 Speaker 1: came from there. And they control everything that is manufactured, 237 00:11:37,080 --> 00:11:40,160 Speaker 1: whether you are an American company or not. The Chinese 238 00:11:40,200 --> 00:11:43,120 Speaker 1: have total control. And that's why you see this push 239 00:11:43,240 --> 00:11:46,720 Speaker 1: for America first. But it's not just building it in America. 240 00:11:46,800 --> 00:11:48,920 Speaker 1: I mean, it would be one thing to be in 241 00:11:48,960 --> 00:11:52,000 Speaker 1: an allied country. It's a whole different situation to be 242 00:11:52,320 --> 00:11:56,320 Speaker 1: in an adversarial country. Like if you're building products with 243 00:11:56,360 --> 00:12:00,320 Speaker 1: the enemy, that is extremely dangerous for national security. Stay 244 00:12:00,320 --> 00:12:03,320 Speaker 1: tuned for more with Sam Murrjowsky. But first, let's talk 245 00:12:03,360 --> 00:12:07,320 Speaker 1: about the International Fellowship of Christians and Jews. On January 246 00:12:07,360 --> 00:12:11,280 Speaker 1: twenty seventh International Holocaust Remembrance Day, we remember the great 247 00:12:11,360 --> 00:12:14,720 Speaker 1: evil of the Holocaust, when millions of Jews were slaughtered 248 00:12:14,760 --> 00:12:18,120 Speaker 1: during the Nazis reign of terror. Today, the rise in 249 00:12:18,160 --> 00:12:21,680 Speaker 1: global anti Semitism and the constant attacks on Israel show 250 00:12:21,760 --> 00:12:24,440 Speaker 1: us that it is more important than ever to remember 251 00:12:24,559 --> 00:12:28,280 Speaker 1: the atrocities of the Holocaust and ensure it never happens again. 252 00:12:28,679 --> 00:12:31,920 Speaker 1: That's why I've partnered with the International Fellowship of Christians 253 00:12:31,920 --> 00:12:35,520 Speaker 1: and Jews. They provide food, shelter, and safety to Jews 254 00:12:35,520 --> 00:12:39,679 Speaker 1: in Israel and around the world, including those remaining Holocaust survivors. 255 00:12:40,000 --> 00:12:43,920 Speaker 1: Your donation today will help provide food, water, medicine, and 256 00:12:43,960 --> 00:12:47,600 Speaker 1: other basic necessities to Jewish communities, and through your gift, 257 00:12:47,760 --> 00:12:51,000 Speaker 1: you stand with the Jewish people and against this growing 258 00:12:51,040 --> 00:12:53,839 Speaker 1: anti semitism and hatred. Give a gift to show your 259 00:12:53,880 --> 00:12:57,520 Speaker 1: support to the Jewish people by visiting SUPPORTIFCJ dot org. 260 00:12:57,760 --> 00:13:00,720 Speaker 1: That's one word, it's support IFCJ org. 261 00:13:01,040 --> 00:13:02,880 Speaker 2: Or call eight eight eight for eight. 262 00:13:02,880 --> 00:13:06,960 Speaker 1: Eight IFCJ again, that's eight eight eight four eight eight 263 00:13:07,120 --> 00:13:10,880 Speaker 1: IFCJ or eight eight eight four eight eight four three 264 00:13:11,120 --> 00:13:13,480 Speaker 1: two five. Stay tuned, we'll be right back. 265 00:13:16,920 --> 00:13:17,600 Speaker 2: I think there's. 266 00:13:17,440 --> 00:13:21,160 Speaker 1: Also some confusion from the average American as to what 267 00:13:21,200 --> 00:13:23,440 Speaker 1: that is, because I hear people say all the time, 268 00:13:23,760 --> 00:13:26,960 Speaker 1: how would our farms run. How would our factories run 269 00:13:27,000 --> 00:13:30,080 Speaker 1: if we weren't bringing these these people in to fill 270 00:13:30,080 --> 00:13:31,880 Speaker 1: these jobs. And I always say, no, no, no, no, no, no, 271 00:13:32,520 --> 00:13:34,680 Speaker 1: these are not the people that are filling those jobs, 272 00:13:34,720 --> 00:13:36,840 Speaker 1: because these are people that have to have a degree. 273 00:13:37,160 --> 00:13:40,319 Speaker 1: When we tried to get workers in because there's so 274 00:13:40,559 --> 00:13:43,839 Speaker 1: few steel founderies left in the United States, there is. 275 00:13:43,880 --> 00:13:46,679 Speaker 2: Truly a lost skill. So my dad bought it. 276 00:13:46,920 --> 00:13:50,199 Speaker 1: He worked with a factory actually most recently out of Indiana, 277 00:13:50,679 --> 00:13:54,160 Speaker 1: and he was trying to bring workers in from eastern 278 00:13:54,200 --> 00:13:58,840 Speaker 1: Europe because there was nobody that understood meant steel casting 279 00:13:58,920 --> 00:14:02,040 Speaker 1: manufacturing anymore. You wanted to bring in thirteen guys that 280 00:14:02,080 --> 00:14:04,760 Speaker 1: could teach our guys on the floor how to pour 281 00:14:04,880 --> 00:14:09,480 Speaker 1: and finish steal castings can't do it because it's maybe 282 00:14:09,480 --> 00:14:11,560 Speaker 1: it's a skill, but you don't need a degree for it, 283 00:14:11,600 --> 00:14:14,880 Speaker 1: so they don't fall into this category. So where Americans 284 00:14:14,920 --> 00:14:17,720 Speaker 1: oftentimes think you're bringing in all these workers and they're 285 00:14:17,720 --> 00:14:20,320 Speaker 1: filling the jobs that we can't get Americans to fill, 286 00:14:20,520 --> 00:14:21,000 Speaker 1: not true. 287 00:14:21,840 --> 00:14:24,080 Speaker 3: Well, yeah, there's by the way, there's like the twenty 288 00:14:24,320 --> 00:14:27,760 Speaker 3: plus different categories of different visa levels that are that 289 00:14:27,840 --> 00:14:32,520 Speaker 3: correspond to two different other different programs by which people 290 00:14:32,520 --> 00:14:35,800 Speaker 3: can be brought into the country, and and they are, 291 00:14:36,680 --> 00:14:39,400 Speaker 3: you know. But but so when we talk about the 292 00:14:39,520 --> 00:14:41,960 Speaker 3: H one B visa, I think people generally just call 293 00:14:42,080 --> 00:14:44,960 Speaker 3: all of these visas one thing. You're absolutely right, the 294 00:14:45,120 --> 00:14:48,440 Speaker 3: H one B visas a skilled person with a college 295 00:14:48,440 --> 00:14:51,640 Speaker 3: degree or you know, a college degree of the university 296 00:14:51,720 --> 00:14:54,680 Speaker 3: training of some kind, and there's a minimum you know, 297 00:14:56,240 --> 00:14:58,800 Speaker 3: income level or a salary. 298 00:14:58,840 --> 00:14:59,320 Speaker 4: Excuse me. 299 00:14:59,600 --> 00:15:03,600 Speaker 3: But what I think is, I come back to this. 300 00:15:04,880 --> 00:15:09,040 Speaker 3: It isn't so much about the skill and the reason 301 00:15:09,160 --> 00:15:12,880 Speaker 3: I know that meaning the way the program is being 302 00:15:13,000 --> 00:15:15,800 Speaker 3: used right in practice. The reason I keep coming back 303 00:15:15,840 --> 00:15:20,400 Speaker 3: to this is why are they all from India? Why 304 00:15:20,440 --> 00:15:24,400 Speaker 3: are they not from Germany or from Sweden or from 305 00:15:24,800 --> 00:15:28,920 Speaker 3: you know, France, you know, the stem learning of Frankly, 306 00:15:29,000 --> 00:15:31,760 Speaker 3: I know, we're we're you know, America is woeful in this. 307 00:15:31,880 --> 00:15:34,200 Speaker 3: In our you know, kind of K through twelve university 308 00:15:34,240 --> 00:15:36,600 Speaker 3: is a little bit better, but K through twelve is abominable. 309 00:15:37,440 --> 00:15:41,400 Speaker 3: But in Europe it's it's it's it's better and English 310 00:15:41,480 --> 00:15:43,120 Speaker 3: is better and a lot of things are better. 311 00:15:43,160 --> 00:15:44,320 Speaker 4: But the reason that. 312 00:15:44,240 --> 00:15:47,840 Speaker 3: We have so many people come from India is because 313 00:15:48,360 --> 00:15:51,680 Speaker 3: we can get them for less. It's it is all 314 00:15:51,800 --> 00:15:56,320 Speaker 3: about salary shopping. That's the infuriating part of it. So 315 00:15:56,400 --> 00:15:59,120 Speaker 3: it's to me, it's not I mean, it's I think 316 00:15:59,520 --> 00:16:02,160 Speaker 3: it's not a are racist thing to say, hey, wait 317 00:16:02,160 --> 00:16:05,960 Speaker 3: a minute, why are we taking so many people from India. 318 00:16:06,240 --> 00:16:09,520 Speaker 3: The real reason, in my view, is these companies recognize 319 00:16:09,520 --> 00:16:12,880 Speaker 3: that they're they're taking this. They've got some you know, 320 00:16:13,240 --> 00:16:15,120 Speaker 3: certainly there's a lot of people there who fit the 321 00:16:15,120 --> 00:16:18,000 Speaker 3: bill quote unquote, but they can pick them up for 322 00:16:18,480 --> 00:16:21,240 Speaker 3: just over that minimum threshold. They can get them for 323 00:16:21,320 --> 00:16:25,800 Speaker 3: sixty five seventy eighty thousand dollars and people in Western 324 00:16:25,840 --> 00:16:28,720 Speaker 3: Europe wouldn't take that job for under two hundred, you know, 325 00:16:28,800 --> 00:16:31,640 Speaker 3: one fifty. So that's it's just dollars and cents. 326 00:16:32,920 --> 00:16:34,720 Speaker 2: I mean, so what is the solution to that? 327 00:16:34,800 --> 00:16:39,280 Speaker 1: Because I can see how a businessman like a vivig 328 00:16:39,400 --> 00:16:41,960 Speaker 1: Ramaswami would go, well, this is a good deal because 329 00:16:42,000 --> 00:16:44,000 Speaker 1: your products are going to be lower if they come, 330 00:16:44,200 --> 00:16:47,280 Speaker 1: which it doesn't ever seem like that's the case. Somehow, 331 00:16:47,320 --> 00:16:49,960 Speaker 1: the CEO always has a private jet in a yacht. 332 00:16:49,960 --> 00:16:50,160 Speaker 4: You know. 333 00:16:50,240 --> 00:16:53,480 Speaker 1: It's like these companies that bring these folks in, they're 334 00:16:53,520 --> 00:16:54,440 Speaker 1: paying them less. 335 00:16:55,040 --> 00:16:56,680 Speaker 2: That's not the American way. 336 00:16:56,720 --> 00:17:01,040 Speaker 1: And it seems very strange to hear people promoting the 337 00:17:01,160 --> 00:17:04,080 Speaker 1: idea of bringing in someone in from another country and 338 00:17:04,160 --> 00:17:06,520 Speaker 1: paying them less. It seems it seems very wrong. It 339 00:17:06,520 --> 00:17:08,080 Speaker 1: seems very Unamerican to do that. 340 00:17:09,359 --> 00:17:12,120 Speaker 3: Well, I want to be very clear. I mean, I'm 341 00:17:12,560 --> 00:17:17,040 Speaker 3: a proud capitalist. Have I biggrudge no one their yacht 342 00:17:17,280 --> 00:17:19,560 Speaker 3: or their playing or their success, their big house. And 343 00:17:19,600 --> 00:17:22,560 Speaker 3: I hope, I hope billionaires stay billionaires. I want people 344 00:17:22,560 --> 00:17:25,520 Speaker 3: to get rich in this country. I really do. Now, 345 00:17:26,680 --> 00:17:30,119 Speaker 3: I also want us in order to live in the 346 00:17:30,160 --> 00:17:32,600 Speaker 3: best country in the world, which we do, and to 347 00:17:32,680 --> 00:17:37,080 Speaker 3: keep it this way, we must build up our middle 348 00:17:37,119 --> 00:17:40,320 Speaker 3: class or upper middle class, and we have to for 349 00:17:40,359 --> 00:17:42,680 Speaker 3: the sake of the country, as we mentioned earlier, really 350 00:17:42,720 --> 00:17:46,960 Speaker 3: bring manufacturing back into the US. Now, I think where 351 00:17:47,000 --> 00:17:50,560 Speaker 3: I'm at philosophically on this is And if you followed, 352 00:17:50,600 --> 00:17:52,480 Speaker 3: it was right after Christmas, right, so I'm sort of 353 00:17:52,480 --> 00:17:54,840 Speaker 3: in my Christmas stupor, and I'm following this fight between 354 00:17:54,880 --> 00:17:57,240 Speaker 3: the Veke who I love, I love a Vic and 355 00:17:57,359 --> 00:18:01,040 Speaker 3: Elon Musk and other people chiming in, and you know, 356 00:18:01,080 --> 00:18:04,800 Speaker 3: and vi Vik's perspective was very different from some other 357 00:18:04,840 --> 00:18:09,440 Speaker 3: people that were fighting him and my I think where 358 00:18:09,480 --> 00:18:12,240 Speaker 3: that fight ended is exactly where I've been all along. 359 00:18:12,880 --> 00:18:16,959 Speaker 3: I think we absolutely should go around the world and 360 00:18:17,160 --> 00:18:21,120 Speaker 3: look to poach the top one percent. I believe in them. 361 00:18:21,720 --> 00:18:24,600 Speaker 3: I think it should be harder to take people from 362 00:18:24,680 --> 00:18:27,280 Speaker 3: China they would have I think people should be screened, 363 00:18:27,880 --> 00:18:30,760 Speaker 3: you know, by by the by the security services, by 364 00:18:30,840 --> 00:18:32,520 Speaker 3: you know, I see, yeah, I really think there has 365 00:18:32,560 --> 00:18:33,400 Speaker 3: to be some screenings. 366 00:18:33,680 --> 00:18:37,119 Speaker 1: But there's something right because you have to apply for 367 00:18:37,200 --> 00:18:37,639 Speaker 1: the visa. 368 00:18:37,680 --> 00:18:40,160 Speaker 2: It's not as though they can just hand them out. 369 00:18:40,400 --> 00:18:44,120 Speaker 3: I have no faith right now in our ontelligence communities whatsoever. 370 00:18:44,160 --> 00:18:45,679 Speaker 4: I think that's all pro forma. 371 00:18:45,720 --> 00:18:47,639 Speaker 3: And I also think that they're all in bed with China, 372 00:18:47,760 --> 00:18:50,080 Speaker 3: so I I, you know, I'm very skeptical of that 373 00:18:50,200 --> 00:18:53,159 Speaker 3: having any real meaning. But there really should be a 374 00:18:53,320 --> 00:18:56,320 Speaker 3: serious vetting of those people. But look, should we be 375 00:18:56,400 --> 00:18:59,520 Speaker 3: taking the top one percent, you know, zero point one 376 00:18:59,520 --> 00:19:02,280 Speaker 3: percent for Germany from from from Great Britain. 377 00:19:02,320 --> 00:19:02,800 Speaker 4: I mean, the. 378 00:19:02,720 --> 00:19:06,359 Speaker 3: Country's going in the toilet right now? Absolutely, yes, yes, yes, 379 00:19:06,440 --> 00:19:10,359 Speaker 3: all day long. So the program should be far more 380 00:19:10,480 --> 00:19:15,200 Speaker 3: narrowly tailored and the minimum salary should go way up 381 00:19:15,880 --> 00:19:19,240 Speaker 3: that's the solution, because the sixty five K or I 382 00:19:19,280 --> 00:19:23,800 Speaker 3: think it's sixty five k is is nothing you're talking about. 383 00:19:23,880 --> 00:19:28,040 Speaker 3: So you're talking about college again because of the requirements 384 00:19:28,080 --> 00:19:30,560 Speaker 3: in there. You're talking about people with a specific skill, 385 00:19:30,680 --> 00:19:34,200 Speaker 3: college graduates, et cetera. And you're setting the minimum minimum 386 00:19:34,240 --> 00:19:36,919 Speaker 3: salary at sixty five I mean, of course it's going 387 00:19:37,000 --> 00:19:37,560 Speaker 3: to get abused. 388 00:19:37,600 --> 00:19:38,000 Speaker 4: Of course. 389 00:19:38,160 --> 00:19:40,720 Speaker 3: Of course employers are going to bring you know, are 390 00:19:40,720 --> 00:19:43,760 Speaker 3: going to are going to use that to undercut our 391 00:19:43,920 --> 00:19:45,840 Speaker 3: own college graduates. 392 00:19:46,200 --> 00:19:49,240 Speaker 1: So is that minimum is that salary set by that's 393 00:19:49,240 --> 00:19:52,080 Speaker 1: a visa? Like the visa the minimum salary to bring 394 00:19:52,119 --> 00:19:52,600 Speaker 1: someone in? 395 00:19:52,760 --> 00:19:53,000 Speaker 2: Is that? 396 00:19:53,119 --> 00:19:55,080 Speaker 3: Is that what you're saying, Yeah, that's the min There's 397 00:19:55,119 --> 00:19:57,200 Speaker 3: there's a floor, right so you you know, I've seen 398 00:19:57,240 --> 00:19:59,520 Speaker 3: some people saying, well, look at this they're bringing in, 399 00:19:59,840 --> 00:20:01,600 Speaker 3: you bringing people for three five K year. 400 00:20:01,600 --> 00:20:03,119 Speaker 4: You know, there's a minimum floor there. 401 00:20:03,520 --> 00:20:06,119 Speaker 3: And one thing that is a little bit deceptive is 402 00:20:06,160 --> 00:20:09,320 Speaker 3: that's the salaries. The bonuses aren't listed, so the bonus 403 00:20:09,320 --> 00:20:12,119 Speaker 3: structure could be higher. But my point is, you know, 404 00:20:12,200 --> 00:20:14,359 Speaker 3: I know people in tech. You know people in tech, 405 00:20:14,800 --> 00:20:18,280 Speaker 3: you know what those jobs pay. You know, domestically those 406 00:20:18,320 --> 00:20:22,800 Speaker 3: are well paid. People rightly so, and so my sense 407 00:20:22,800 --> 00:20:25,840 Speaker 3: of it is is absolutely we're bringing people who are 408 00:20:25,840 --> 00:20:28,399 Speaker 3: delighted to come to the US and work for sixty 409 00:20:28,400 --> 00:20:30,080 Speaker 3: five k year and they live four or five of 410 00:20:30,160 --> 00:20:33,640 Speaker 3: them in a single apartment. And that's I don't think 411 00:20:33,640 --> 00:20:36,360 Speaker 3: that's right to anybody involved, right. 412 00:20:36,280 --> 00:20:40,399 Speaker 1: Because obviously, if you live here, you deserve to have 413 00:20:40,480 --> 00:20:43,000 Speaker 1: the same life as any other person who lives here. 414 00:20:43,000 --> 00:20:46,320 Speaker 1: I mean, really, you shouldn't say this person is used 415 00:20:46,359 --> 00:20:49,439 Speaker 1: to lower pay in their country. Well, you live in 416 00:20:49,480 --> 00:20:51,119 Speaker 1: this You have to live in this country to work 417 00:20:51,160 --> 00:20:51,760 Speaker 1: in this country. 418 00:20:52,359 --> 00:20:57,560 Speaker 3: Yeah, well and absolutely, and look again, the overarching kind 419 00:20:57,560 --> 00:21:01,680 Speaker 3: of perspective on this, the common sense conservative approaches. We 420 00:21:01,720 --> 00:21:07,080 Speaker 3: want companies to be successful, but every single country around 421 00:21:07,160 --> 00:21:13,000 Speaker 3: the world uses tariffs to protect their domestic industry. Why 422 00:21:13,040 --> 00:21:16,240 Speaker 3: are we the only idiots around? Like you go to 423 00:21:16,600 --> 00:21:18,040 Speaker 3: I don't know if you've ever been to South Korea. 424 00:21:18,080 --> 00:21:21,199 Speaker 3: You go to South Korea, a huge manufacturing country, and 425 00:21:21,600 --> 00:21:23,479 Speaker 3: you know, and then you know, you find out, oh, 426 00:21:23,520 --> 00:21:26,760 Speaker 3: somebody's you see one Mercedes and well, why, oh, well, 427 00:21:26,800 --> 00:21:29,080 Speaker 3: because it costs two hundred and fifty grand, Sam, you know, 428 00:21:29,520 --> 00:21:32,240 Speaker 3: that's why you can buy a Hyundai for you know, 429 00:21:32,280 --> 00:21:34,200 Speaker 3: whatever a Hundai cost. But if you want to buy 430 00:21:34,200 --> 00:21:38,399 Speaker 3: a Mercedes or gosh forbid, a Jeep or something from America, Germany, wherever. 431 00:21:38,760 --> 00:21:40,920 Speaker 3: I mean, it's it's one hundred percent, hundred and fifty 432 00:21:40,960 --> 00:21:44,720 Speaker 3: percent tariff and they're protecting their industry with it, and. 433 00:21:44,680 --> 00:21:46,960 Speaker 1: Oh my gosh, but you know it's it's not a 434 00:21:47,000 --> 00:21:49,879 Speaker 1: lie because you look at the countries that haven't. I mean, 435 00:21:49,920 --> 00:21:54,000 Speaker 1: look at Germany. They are shutting down Volksweigen factories because 436 00:21:54,080 --> 00:21:56,520 Speaker 1: the Chinese vehicles have come in and taken over, and 437 00:21:56,560 --> 00:21:59,160 Speaker 1: they didn't set that standard. They didn't protect their own 438 00:21:59,200 --> 00:22:02,120 Speaker 1: industry and their own own vehicles. So now they're losing 439 00:22:02,200 --> 00:22:07,199 Speaker 1: their own auto manufacturing facilities because they've had a foreign 440 00:22:07,480 --> 00:22:11,320 Speaker 1: country come in and take over their market share. And 441 00:22:11,359 --> 00:22:13,760 Speaker 1: that's what I think, you know, coming from Michigan, that's 442 00:22:13,800 --> 00:22:17,320 Speaker 1: been the fear from Michiganers this whole time, is like, well, 443 00:22:17,359 --> 00:22:19,919 Speaker 1: are we put the world on wheels? You know, we 444 00:22:20,040 --> 00:22:23,880 Speaker 1: make American cars if we don't have tariffs, and there 445 00:22:23,960 --> 00:22:25,560 Speaker 1: is the ability for if we. 446 00:22:25,520 --> 00:22:27,760 Speaker 2: Don't have somebody holding China at bay. 447 00:22:28,080 --> 00:22:32,320 Speaker 1: They they do well with their vehicles, They make electric cars, 448 00:22:32,359 --> 00:22:33,439 Speaker 1: they know how to do it. 449 00:22:33,560 --> 00:22:35,760 Speaker 2: They've been able to take over the market. 450 00:22:35,800 --> 00:22:39,840 Speaker 1: They have the materials, that's that's their bread and butter. 451 00:22:40,040 --> 00:22:42,679 Speaker 1: You know, we don't want them coming in and taking 452 00:22:42,720 --> 00:22:47,640 Speaker 1: over our gas powered vehicle lines and obsoleting what we do. 453 00:22:47,880 --> 00:22:49,720 Speaker 1: That's very dangerous and that's why we have to have 454 00:22:49,760 --> 00:22:52,640 Speaker 1: somebody that's going to protect that in Washington, right. 455 00:22:52,680 --> 00:22:55,280 Speaker 3: Well, and two things on that right and again, you 456 00:22:55,359 --> 00:22:57,439 Speaker 3: know as far as the EV market, you know, it 457 00:22:57,480 --> 00:23:01,400 Speaker 3: never works when the government tells companies what is guess 458 00:23:01,400 --> 00:23:04,199 Speaker 3: who decides what companies produce. We the consumers, we with 459 00:23:04,320 --> 00:23:06,840 Speaker 3: our wall as decide what it gets produced. So that's 460 00:23:06,880 --> 00:23:09,600 Speaker 3: one thing. The other part of that is, of course, 461 00:23:09,840 --> 00:23:13,399 Speaker 3: of course you know it's so it's crazy to me 462 00:23:13,480 --> 00:23:18,280 Speaker 3: because you know, you mentioned Folkswagen and and it's happening there. 463 00:23:18,840 --> 00:23:24,520 Speaker 3: You know in Michigan, you know, we are industries will 464 00:23:24,800 --> 00:23:27,560 Speaker 3: get gutted. There's always someone who will be able to 465 00:23:27,600 --> 00:23:31,359 Speaker 3: produce something for cheaper, who has a poorer population. And 466 00:23:32,359 --> 00:23:36,120 Speaker 3: the cautionary tale here is and I'm maybe a little 467 00:23:36,160 --> 00:23:39,320 Speaker 3: bit of a of a of a skeptic when it 468 00:23:39,320 --> 00:23:41,719 Speaker 3: comes to the left and when it comes to you know, 469 00:23:41,880 --> 00:23:44,639 Speaker 3: the politicians out there who are selling these selling our 470 00:23:44,680 --> 00:23:48,080 Speaker 3: countries out both the US, Germany, around the world the 471 00:23:48,119 --> 00:23:52,040 Speaker 3: West collectively doing this is I just think that they 472 00:23:52,080 --> 00:23:55,680 Speaker 3: want people to be poor. If everybody's out of work 473 00:23:55,720 --> 00:23:58,560 Speaker 3: and everybody's not If if people aren't gainfully employed, if 474 00:23:58,560 --> 00:24:01,439 Speaker 3: people aren't don't have the pro of bringing home a 475 00:24:01,440 --> 00:24:04,720 Speaker 3: good living to their family, they're broken. And if they're broken, 476 00:24:04,880 --> 00:24:08,320 Speaker 3: they vote Democrat, they vote socialists, they vote communists, and 477 00:24:08,359 --> 00:24:11,560 Speaker 3: they maintain empower the very people that created this problem. 478 00:24:11,800 --> 00:24:15,199 Speaker 3: So we have a once in a generation opportunity in 479 00:24:15,240 --> 00:24:18,159 Speaker 3: ten days, you know, when Trump comes into office to 480 00:24:18,240 --> 00:24:21,159 Speaker 3: fix this. I hope we do, because really the future 481 00:24:21,160 --> 00:24:22,439 Speaker 3: of our country depends on it. 482 00:24:22,720 --> 00:24:25,439 Speaker 1: Let's take a quick commercial break. We'll continue next on 483 00:24:25,480 --> 00:24:32,520 Speaker 1: a Tutor Dixon podcast. What's your take on what's happening 484 00:24:32,640 --> 00:24:37,359 Speaker 1: with our universities giving space to foreign students? And I 485 00:24:37,400 --> 00:24:40,680 Speaker 1: will tell you that we've had some parents. I've talked 486 00:24:40,720 --> 00:24:43,440 Speaker 1: to parents actually across the country. I have a daughter 487 00:24:43,520 --> 00:24:46,840 Speaker 1: that's a sophomore, So I'm at that age where people 488 00:24:46,920 --> 00:24:49,960 Speaker 1: everybody's starting to look at universities and talking to the 489 00:24:50,000 --> 00:24:52,919 Speaker 1: parents who just sent their kids, and it's been really 490 00:24:53,000 --> 00:24:56,280 Speaker 1: tough to get kids into our top twenty universities. They 491 00:24:56,440 --> 00:24:58,840 Speaker 1: just don't seem to be the spaces. I mean for 492 00:24:58,920 --> 00:25:02,760 Speaker 1: multiple reasons. But one is foreign students pay higher tuition 493 00:25:02,840 --> 00:25:03,600 Speaker 1: and they bring them in. 494 00:25:04,720 --> 00:25:05,040 Speaker 4: Yeah. 495 00:25:05,080 --> 00:25:08,919 Speaker 3: So I have I have two competing interests in this 496 00:25:09,400 --> 00:25:12,399 Speaker 3: to disclose. One, I have a next year he'll be 497 00:25:12,520 --> 00:25:17,399 Speaker 3: a senior white male who will be looking for a 498 00:25:17,440 --> 00:25:20,400 Speaker 3: spot in the university somewhere in the US. So that's 499 00:25:20,400 --> 00:25:23,919 Speaker 3: going to be tricky. Number Two, I am on the 500 00:25:23,920 --> 00:25:27,920 Speaker 3: board of a university in Orangetowny, California, Chapman University, and 501 00:25:28,000 --> 00:25:31,359 Speaker 3: so you know, I have some insight into you know, 502 00:25:31,440 --> 00:25:34,480 Speaker 3: the benefits of of certainly on the financial side, and 503 00:25:34,720 --> 00:25:37,200 Speaker 3: also I would say some some cultural benefits of bringing 504 00:25:37,280 --> 00:25:40,600 Speaker 3: in you know, foreign students, the fore and students. The 505 00:25:40,640 --> 00:25:44,360 Speaker 3: reason that foreign students are popular on universities is. 506 00:25:44,320 --> 00:25:44,920 Speaker 4: That they pay. 507 00:25:45,400 --> 00:25:48,920 Speaker 3: They pay a lot. And one of the challenges it's 508 00:25:48,960 --> 00:25:54,720 Speaker 3: going to exist for universities is particularly if Trump and 509 00:25:55,000 --> 00:25:57,879 Speaker 3: you know, carry through with some of his threats slash 510 00:25:57,880 --> 00:26:02,280 Speaker 3: promises about reforming the Department of Education, reforming fast so 511 00:26:02,400 --> 00:26:06,280 Speaker 3: you know student aid, uh, you know, federal funding for 512 00:26:06,320 --> 00:26:09,800 Speaker 3: student loans, et cetera. You know, these universities are going 513 00:26:09,840 --> 00:26:13,679 Speaker 3: to have to fill budgetary holes. So this is going 514 00:26:13,720 --> 00:26:17,159 Speaker 3: to be a delicate dance. Well, I think I absolutely 515 00:26:17,240 --> 00:26:21,520 Speaker 3: believe again that if you are an American, if you're 516 00:26:22,000 --> 00:26:24,520 Speaker 3: a resident, you know, alien, if you are living in 517 00:26:24,520 --> 00:26:28,200 Speaker 3: the United States, your kids get should get priority, plain 518 00:26:28,280 --> 00:26:31,439 Speaker 3: and simple. The way I understand that we use it 519 00:26:31,480 --> 00:26:33,359 Speaker 3: a chapment and I'm not speaking from the schools to 520 00:26:33,400 --> 00:26:35,560 Speaker 3: just my observation is that is that we you know, 521 00:26:35,680 --> 00:26:38,639 Speaker 3: there's graduate positions and programs that are opened up to 522 00:26:38,680 --> 00:26:42,159 Speaker 3: foreign students and and and it never has impacted you know, 523 00:26:42,200 --> 00:26:45,560 Speaker 3: students that are are are domestic looking to be admitted 524 00:26:45,600 --> 00:26:46,480 Speaker 3: into the university. 525 00:26:46,560 --> 00:26:47,240 Speaker 4: Just never has. 526 00:26:48,480 --> 00:26:51,359 Speaker 3: But I I hear the criticism, and I believe some 527 00:26:51,520 --> 00:26:54,080 Speaker 3: schools out there are doing this, and I think that 528 00:26:54,160 --> 00:26:56,520 Speaker 3: there's just going to be a lot of wake up 529 00:26:56,560 --> 00:26:59,679 Speaker 3: for universities in general. It's a whole other topic of 530 00:26:59,720 --> 00:27:02,400 Speaker 3: where this is going. And I would I would even 531 00:27:02,440 --> 00:27:04,520 Speaker 3: say this, you know, and again I say this was 532 00:27:04,840 --> 00:27:06,920 Speaker 3: you know, a kid who's kind of figuring out where 533 00:27:06,960 --> 00:27:08,920 Speaker 3: he wants to go to school is. I don't even 534 00:27:08,960 --> 00:27:11,000 Speaker 3: know what the draw of the top twenty schools are 535 00:27:11,040 --> 00:27:14,119 Speaker 3: anymore after they I have seen, you know what, I 536 00:27:14,119 --> 00:27:16,200 Speaker 3: have seen I I you know, I mean and by 537 00:27:16,200 --> 00:27:18,760 Speaker 3: the way I you know, with AI coming, you know, tutor, 538 00:27:18,840 --> 00:27:20,600 Speaker 3: this is a whole nother This I love. This is 539 00:27:20,600 --> 00:27:23,280 Speaker 3: one of my favorite topics. I know we're short on time, 540 00:27:23,280 --> 00:27:26,320 Speaker 3: but you know, I I look at you know what 541 00:27:26,359 --> 00:27:29,000 Speaker 3: AI is going to do to our kids right that 542 00:27:29,080 --> 00:27:32,359 Speaker 3: are in that in that you know, young adulthood or 543 00:27:32,400 --> 00:27:35,160 Speaker 3: soon to be in young adulthood. Everything is going to change. 544 00:27:35,280 --> 00:27:37,119 Speaker 3: So one of the things I've told my son, and 545 00:27:37,160 --> 00:27:39,760 Speaker 3: I'm saying this is a as a college graduate and 546 00:27:39,800 --> 00:27:43,879 Speaker 3: a graduate school graduate is hey, I mean going to 547 00:27:43,920 --> 00:27:47,000 Speaker 3: college just to go to college may not be the path. 548 00:27:47,320 --> 00:27:49,520 Speaker 3: I mean, if you learn how to, if you can 549 00:27:49,600 --> 00:27:52,959 Speaker 3: learn a trade and build a business around a trade, 550 00:27:53,320 --> 00:27:55,840 Speaker 3: you may be far more successful in life than some 551 00:27:55,880 --> 00:27:58,280 Speaker 3: people that are now deciding to go to college and 552 00:27:58,359 --> 00:28:00,639 Speaker 3: end up in a career that will be obsolete in 553 00:28:00,640 --> 00:28:01,280 Speaker 3: ten years. 554 00:28:01,560 --> 00:28:04,120 Speaker 1: The funny thing is that may have always been the case, 555 00:28:04,119 --> 00:28:06,520 Speaker 1: and we just weren't paying attention to that. 556 00:28:06,600 --> 00:28:07,760 Speaker 2: Because when you. 557 00:28:07,760 --> 00:28:11,080 Speaker 1: Run for office, you talk to people all the time 558 00:28:11,119 --> 00:28:14,119 Speaker 1: that are supporters. So you either have the supporters on 559 00:28:14,160 --> 00:28:14,800 Speaker 1: the other side or. 560 00:28:14,800 --> 00:28:15,679 Speaker 2: Your own supporters. 561 00:28:15,960 --> 00:28:18,159 Speaker 1: And as I went around Michigan, and obviously I know 562 00:28:18,280 --> 00:28:22,800 Speaker 1: that we are more of a manufacturing industrial state. But 563 00:28:23,720 --> 00:28:27,240 Speaker 1: the wealthiest people who were giving to the Republican cause, 564 00:28:27,480 --> 00:28:30,560 Speaker 1: many of them would tell me if I were to 565 00:28:30,600 --> 00:28:33,600 Speaker 1: start my business today, which was right out of high 566 00:28:33,600 --> 00:28:37,120 Speaker 1: school in my garage, the regulations have changed so much, 567 00:28:37,200 --> 00:28:40,400 Speaker 1: I couldn't do today what I did back then, and 568 00:28:40,560 --> 00:28:42,080 Speaker 1: I never went to college to do it. 569 00:28:43,320 --> 00:28:46,400 Speaker 3: Yeah, I mean, of course, I mean our governments just 570 00:28:46,880 --> 00:28:49,960 Speaker 3: incessantly in the way. And again I think it's part 571 00:28:49,960 --> 00:28:53,640 Speaker 3: of a broader scheme that the government has. Again, they 572 00:28:53,640 --> 00:28:57,360 Speaker 3: want to make it difficult to succeed. If you succeed, 573 00:28:57,480 --> 00:29:00,560 Speaker 3: you become independent. If you become independent, you don't need them. 574 00:29:01,040 --> 00:29:03,720 Speaker 3: And the Republican Party for me, has always been, you know, 575 00:29:03,760 --> 00:29:07,840 Speaker 3: the Party of independence for independent people who want to 576 00:29:07,880 --> 00:29:10,800 Speaker 3: succeed on their own and just want government to in 577 00:29:10,840 --> 00:29:12,840 Speaker 3: the worlds of words of Ron Ray and get the 578 00:29:12,840 --> 00:29:15,800 Speaker 3: hell out of the way. So, you know, so again 579 00:29:15,880 --> 00:29:20,160 Speaker 3: I agree one hundred percent, and I sense that there's 580 00:29:20,160 --> 00:29:24,440 Speaker 3: an opportunity for a great American revival starting with Michigan 581 00:29:24,760 --> 00:29:28,120 Speaker 3: and other states where manufacturing, once you know, reigns supreme. 582 00:29:29,040 --> 00:29:32,880 Speaker 3: I really hope over the next four years and the 583 00:29:32,920 --> 00:29:36,520 Speaker 3: next eight after that, hopefully with JD Vance that this 584 00:29:36,600 --> 00:29:39,200 Speaker 3: country really finds its footing again. And it has to 585 00:29:39,240 --> 00:29:42,640 Speaker 3: start with manufacturing, has to start with small business, has 586 00:29:42,720 --> 00:29:45,880 Speaker 3: to start with some common sense approach approaches to these 587 00:29:46,200 --> 00:29:47,320 Speaker 3: problems that we talked about. 588 00:29:47,720 --> 00:29:49,720 Speaker 2: You know, I think so many people I'll just end 589 00:29:49,720 --> 00:29:49,920 Speaker 2: on this. 590 00:29:50,000 --> 00:29:52,240 Speaker 1: I think so many parents feel this pressure of my 591 00:29:52,320 --> 00:29:54,200 Speaker 1: kid has to go to a really good college, and 592 00:29:54,240 --> 00:29:56,320 Speaker 1: my kid has to have a great degree, and the 593 00:29:56,360 --> 00:30:00,040 Speaker 1: next step is absolutely going straight to college. And like 594 00:30:00,120 --> 00:30:02,240 Speaker 1: I said, the people that I met, that was not 595 00:30:02,400 --> 00:30:05,000 Speaker 1: their story, and their stories are so interesting. We had 596 00:30:05,000 --> 00:30:08,280 Speaker 1: a woman on here who talked about entrepreneurs. She'd interviewed 597 00:30:08,280 --> 00:30:11,640 Speaker 1: all these successful entrepreneurs and what their childhood was like. 598 00:30:11,960 --> 00:30:14,280 Speaker 1: And one of the folks, even that we work with 599 00:30:14,360 --> 00:30:17,600 Speaker 1: on a daily basis, his son didn't go to college. 600 00:30:17,640 --> 00:30:20,520 Speaker 2: And he started working out in the racing. 601 00:30:20,280 --> 00:30:23,880 Speaker 1: Circuit and sort of looked at what was going on 602 00:30:23,960 --> 00:30:25,800 Speaker 1: and like, oh, these are the throwaway parts that we 603 00:30:25,840 --> 00:30:28,719 Speaker 1: need to buy all the time. Started reverse engineering some 604 00:30:28,760 --> 00:30:30,760 Speaker 1: of those parts and saying, man, I can bring them in. 605 00:30:30,840 --> 00:30:33,000 Speaker 1: I can do them at home on my three D printer. 606 00:30:33,520 --> 00:30:37,520 Speaker 1: And you know that kind of entrepreneurial spirit is what 607 00:30:38,080 --> 00:30:41,480 Speaker 1: built this country. I love that, and I'm like for 608 00:30:42,320 --> 00:30:44,360 Speaker 1: the parents, it's a little nerve wracking to be like, 609 00:30:44,440 --> 00:30:46,360 Speaker 1: oh gosh, do you not have that. 610 00:30:46,200 --> 00:30:48,400 Speaker 2: Piece of paper that you have to have to succeed? 611 00:30:48,960 --> 00:30:53,600 Speaker 1: And yet they're like the book that this woman wrote 612 00:30:54,240 --> 00:30:56,720 Speaker 1: time and time again, it was parents saying as much 613 00:30:56,720 --> 00:30:59,400 Speaker 1: as I freaked out about it, I had to step 614 00:30:59,440 --> 00:31:02,120 Speaker 1: back and say, I have to trust him or her 615 00:31:02,520 --> 00:31:05,040 Speaker 1: to know what they love most and what will take 616 00:31:05,080 --> 00:31:06,360 Speaker 1: them in that next direction. 617 00:31:06,800 --> 00:31:08,520 Speaker 2: So it's an interesting time. 618 00:31:08,520 --> 00:31:10,600 Speaker 1: I'm sure you're feeling the same thing with a child 619 00:31:10,600 --> 00:31:11,800 Speaker 1: that age, like what do I do? 620 00:31:12,000 --> 00:31:13,080 Speaker 2: How do I guide them? 621 00:31:13,920 --> 00:31:14,080 Speaker 1: Oh? 622 00:31:14,120 --> 00:31:14,719 Speaker 4: Absolutely? 623 00:31:14,800 --> 00:31:17,520 Speaker 3: And they're scared, you know, and I remember, as do you, right, 624 00:31:17,640 --> 00:31:19,520 Speaker 3: you remember that time in your life where you didn't 625 00:31:19,680 --> 00:31:22,200 Speaker 3: know what would happen. But you know, we parents have 626 00:31:22,240 --> 00:31:24,560 Speaker 3: to have faith in them and they actually I think 627 00:31:24,600 --> 00:31:27,920 Speaker 3: our youth now are far more aware of what opportunities 628 00:31:27,920 --> 00:31:30,240 Speaker 3: there are than I think I was at there at 629 00:31:30,240 --> 00:31:31,040 Speaker 3: my son's age. 630 00:31:31,400 --> 00:31:33,240 Speaker 1: I always tell him, I don't know if I should 631 00:31:33,320 --> 00:31:35,680 Speaker 1: give you any advice. I'll let you know once I've 632 00:31:35,720 --> 00:31:37,520 Speaker 1: figured out what I'm going to do when I grow up. 633 00:31:38,040 --> 00:31:42,080 Speaker 1: I love it well, Sam, It's been wonderful having you. 634 00:31:42,640 --> 00:31:45,440 Speaker 1: Sam Murjowski, thank you so much for being on here. 635 00:31:45,800 --> 00:31:48,000 Speaker 3: Well, thank you, Thank you, Tutor. A pleasure and great 636 00:31:48,040 --> 00:31:49,200 Speaker 3: to meet you and be with you. 637 00:31:49,720 --> 00:31:50,320 Speaker 2: Absolutely. 638 00:31:50,320 --> 00:31:52,240 Speaker 1: Thank you all for listening to us on the Tutor 639 00:31:52,280 --> 00:31:55,160 Speaker 1: Dixon Podcast. For this podcast and others, go to Tutor 640 00:31:55,200 --> 00:31:58,880 Speaker 1: dixonpodcast dot com subscribe right there, or the iHeartRadio app, 641 00:31:58,920 --> 00:32:01,840 Speaker 1: Apple Podcasts or wherever you get your podcasts, and join 642 00:32:01,920 --> 00:32:03,800 Speaker 1: us next time on the Tutor Dixon Podcast. 643 00:32:03,880 --> 00:32:04,680 Speaker 2: Have a blessed day.