1 00:00:01,960 --> 00:00:11,399 Speaker 1: Look, Jesse Kelly Shaw, let's have some fun on a Wednesday, 2 00:00:11,720 --> 00:00:13,920 Speaker 1: a hoopday. 3 00:00:13,920 --> 00:00:18,640 Speaker 2: And we have made it over halfway through the week. Smile. 4 00:00:18,920 --> 00:00:21,320 Speaker 1: Even now it's kind of a rough day, maybe a 5 00:00:21,320 --> 00:00:23,640 Speaker 1: bit of a rocky show here for a bit. 6 00:00:23,920 --> 00:00:27,000 Speaker 2: Put a smile on your face. We're over halfway through 7 00:00:27,040 --> 00:00:31,040 Speaker 2: the week. And here's what's on tap for tonight. Yes, 8 00:00:31,160 --> 00:00:33,240 Speaker 2: I'm at some point in time going to make fun 9 00:00:33,240 --> 00:00:36,280 Speaker 2: of the liberal white woman for kissing Jasmine Crocketts feet. 10 00:00:36,400 --> 00:00:40,360 Speaker 2: And we'll go over emails and Texas doing good things. 11 00:00:40,360 --> 00:00:43,560 Speaker 2: We're going to talk about local elections, not my specific one, 12 00:00:43,600 --> 00:00:45,760 Speaker 2: but why they matter so much. I'll get to all 13 00:00:45,800 --> 00:00:49,600 Speaker 2: those things in a while. But you know, and I 14 00:00:49,760 --> 00:00:52,920 Speaker 2: know what we have to talk about. What we're going 15 00:00:53,080 --> 00:00:57,840 Speaker 2: to talk about, what has the anti communist, the MAGA, 16 00:00:57,960 --> 00:01:04,840 Speaker 2: the America First Movement on fire with rage today? I 17 00:01:04,959 --> 00:01:10,200 Speaker 2: have not one theory. I have two theories about why 18 00:01:10,240 --> 00:01:13,360 Speaker 2: these things are happening, what is coming out, And I'm 19 00:01:13,360 --> 00:01:15,280 Speaker 2: going to get to both of them. One of them 20 00:01:15,440 --> 00:01:18,600 Speaker 2: may make you feel better, probably will the other one 21 00:01:18,680 --> 00:01:22,560 Speaker 2: will undoubtedly horrify you and make you feel worse. But 22 00:01:22,760 --> 00:01:25,240 Speaker 2: what am I talking about? Just in case you haven't 23 00:01:25,280 --> 00:01:28,319 Speaker 2: been paying attention to the news. You haven't been on 24 00:01:28,400 --> 00:01:34,440 Speaker 2: social media. Trump's full comments to Laura Ingram about foreign 25 00:01:34,520 --> 00:01:39,600 Speaker 2: workers H one B workers coming into the country. They 26 00:01:39,640 --> 00:01:44,199 Speaker 2: are going like wildfire across the nation today. So let's 27 00:01:44,240 --> 00:01:45,080 Speaker 2: listen to what he said. 28 00:01:45,120 --> 00:01:46,880 Speaker 3: Well, first of all, I think and I know the 29 00:01:47,120 --> 00:01:49,600 Speaker 3: H one be very well and it's something that I 30 00:01:49,680 --> 00:01:51,560 Speaker 3: frankly use and I shouldn't be allowed to use. 31 00:01:51,600 --> 00:01:54,560 Speaker 4: We shouldn't have it very very bad for workers. 32 00:01:54,680 --> 00:01:58,720 Speaker 2: And oh wait, that was Donald Trump from a while ago. 33 00:01:58,840 --> 00:02:02,360 Speaker 2: That was the wrong one. Let's go to Donald Trump's 34 00:02:02,400 --> 00:02:06,160 Speaker 2: comments with Laura Ingram about these foreign works. 35 00:02:06,280 --> 00:02:08,520 Speaker 5: You see some big tech companies where they'll lay off 36 00:02:08,880 --> 00:02:12,720 Speaker 5: nine thousand workers and then they'll apply for a bunch 37 00:02:12,720 --> 00:02:15,480 Speaker 5: of overseas visas. And I sort of wonder, my, that 38 00:02:15,480 --> 00:02:18,640 Speaker 5: doesn't totally make sense to me. Meth does that displacement 39 00:02:18,680 --> 00:02:20,160 Speaker 5: in that math worries me a bit? And what the 40 00:02:20,200 --> 00:02:22,760 Speaker 5: President has said, he said very clearly, we want the 41 00:02:22,880 --> 00:02:25,200 Speaker 5: very best, in the brightest to make America their home. 42 00:02:25,280 --> 00:02:27,359 Speaker 5: We want them to build great companies and so forth. 43 00:02:27,639 --> 00:02:32,200 Speaker 5: But I don't want companies to fire nine thousand American 44 00:02:32,240 --> 00:02:34,959 Speaker 5: workers and then to go and say we can't find 45 00:02:35,000 --> 00:02:36,079 Speaker 5: workers here in America. 46 00:02:36,760 --> 00:02:40,119 Speaker 2: Wait, that was the wrong clip too. All right, nev, 47 00:02:40,560 --> 00:02:43,919 Speaker 2: Let's go to Trump's comments on Laura Ingram. 48 00:02:44,400 --> 00:02:46,400 Speaker 5: What do you have to say this idea that American 49 00:02:46,480 --> 00:02:49,040 Speaker 5: citizens don't have the talent to do great things, that 50 00:02:49,120 --> 00:02:52,239 Speaker 5: you have to import a foreign class of servants and 51 00:02:53,320 --> 00:02:54,680 Speaker 5: professors to do these things. 52 00:02:55,000 --> 00:02:55,800 Speaker 2: I just reject that. 53 00:02:55,840 --> 00:02:57,760 Speaker 5: I actually think we invest in our own people, we 54 00:02:57,800 --> 00:02:58,760 Speaker 5: can do a lot of good. 55 00:03:00,600 --> 00:03:05,760 Speaker 2: That was the wrong one too. Let's go to what 56 00:03:05,840 --> 00:03:08,919 Speaker 2: Trump did actually say to Laura Ingram. 57 00:03:08,960 --> 00:03:11,400 Speaker 6: Eah, one b visa thing will not be a big 58 00:03:11,639 --> 00:03:13,839 Speaker 6: priority for your administration, because if you want to raise 59 00:03:13,880 --> 00:03:17,240 Speaker 6: wages for American workers, you can't flood the country with 60 00:03:17,440 --> 00:03:19,040 Speaker 6: tens of thousands or hundreds. 61 00:03:18,720 --> 00:03:22,799 Speaker 4: Of And we also do have to bring in talent when. 62 00:03:22,560 --> 00:03:23,560 Speaker 2: We've got talent. 63 00:03:25,000 --> 00:03:26,200 Speaker 6: We don't have talent in people. 64 00:03:26,240 --> 00:03:28,720 Speaker 3: No, you don't have you don't have certain talents, and 65 00:03:28,760 --> 00:03:31,160 Speaker 3: you have to people have to learn. You can't take 66 00:03:31,200 --> 00:03:34,560 Speaker 3: people off an unemployment like an unemployment line is say 67 00:03:34,800 --> 00:03:36,360 Speaker 3: I'm going to put you into a factory who we're 68 00:03:36,360 --> 00:03:37,760 Speaker 3: going to make missiles. 69 00:03:39,760 --> 00:03:44,600 Speaker 2: We don't have the talent. We can't learn. If you 70 00:03:44,640 --> 00:03:47,240 Speaker 2: don't have a job. We can't put you in a 71 00:03:47,240 --> 00:03:50,440 Speaker 2: factory and teach you how to work it. All right, 72 00:03:51,360 --> 00:03:54,880 Speaker 2: So what did I show up to today? I don't 73 00:03:54,920 --> 00:03:57,520 Speaker 2: even know what the total number is. I did read 74 00:03:57,560 --> 00:04:03,040 Speaker 2: them all I showed up to like this, Bronco six 75 00:04:03,120 --> 00:04:07,840 Speaker 2: hundred thousand Chinese students, H one b's and wealth redistribution. 76 00:04:08,080 --> 00:04:11,200 Speaker 2: What a crappy twenty four hours. The entire year has 77 00:04:11,240 --> 00:04:13,840 Speaker 2: been in service to his donors. I'm at the point 78 00:04:13,840 --> 00:04:16,760 Speaker 2: where I won't care if he's impeached, removed, indicted, and 79 00:04:16,800 --> 00:04:20,760 Speaker 2: sent to prison. I have another one. I mean, I 80 00:04:20,760 --> 00:04:23,919 Speaker 2: have so many to Hey, Jesse, no more cope. The 81 00:04:24,040 --> 00:04:27,120 Speaker 2: nineties Democrat that is Trump is thumbing his nose at 82 00:04:27,120 --> 00:04:30,320 Speaker 2: the base and embracing the immigration and globalist whims of 83 00:04:30,360 --> 00:04:33,960 Speaker 2: his donors and the lobbyists is destroying his presidency. The 84 00:04:34,080 --> 00:04:37,120 Speaker 2: die is cast. So this is not what I voted for. 85 00:04:37,360 --> 00:04:39,080 Speaker 2: I'm gonna stop. I'm not gonna read all these but 86 00:04:39,160 --> 00:04:43,679 Speaker 2: this is what I showed up to today, your white 87 00:04:43,760 --> 00:04:48,159 Speaker 2: hot anger at Trump's one of the worst interviews, maybe 88 00:04:48,200 --> 00:04:52,599 Speaker 2: the worst interview he's ever given. So, like I said, 89 00:04:52,680 --> 00:04:58,440 Speaker 2: I have two working theories about what is happening right now. 90 00:05:00,360 --> 00:05:03,159 Speaker 2: Let me go with the first one that might make 91 00:05:03,240 --> 00:05:05,080 Speaker 2: you feel better. Parts of it may offend you, and 92 00:05:05,120 --> 00:05:07,760 Speaker 2: I don't care if they do, but it might make 93 00:05:07,800 --> 00:05:11,760 Speaker 2: you feel better. Right, And keep in mind, it wasn't 94 00:05:11,880 --> 00:05:15,920 Speaker 2: just Trump with sitting now with Laura Ingram saying things 95 00:05:16,040 --> 00:05:21,440 Speaker 2: like this. We have DHS Secretary Christinome going on the 96 00:05:21,480 --> 00:05:24,520 Speaker 2: news and at the same time, almost as if it's coordinated, 97 00:05:24,520 --> 00:05:25,320 Speaker 2: saying things like that. 98 00:05:25,320 --> 00:05:27,760 Speaker 7: We're going to keep using our visa programs. We're just 99 00:05:27,760 --> 00:05:29,920 Speaker 7: going to make sure that they have integrity, that we're 100 00:05:29,960 --> 00:05:32,680 Speaker 7: actually doing the vetting of the individuals who come into 101 00:05:32,720 --> 00:05:34,200 Speaker 7: this country, that they want to be here for the 102 00:05:34,279 --> 00:05:38,360 Speaker 7: right reasons, that they're not supporters of terrorists and organizations 103 00:05:38,400 --> 00:05:40,719 Speaker 7: that hate America. And that's what I think is so 104 00:05:40,800 --> 00:05:43,840 Speaker 7: remarkable is under the Trump administration we've sped up our 105 00:05:43,880 --> 00:05:47,960 Speaker 7: process and added integrity to the visa programs, to green cards, 106 00:05:47,960 --> 00:05:50,760 Speaker 7: to all of that. But also more people are becoming 107 00:05:50,920 --> 00:05:54,480 Speaker 7: naturalized under this administration than ever before. More people are 108 00:05:54,520 --> 00:05:55,599 Speaker 7: becoming citizens. 109 00:05:57,520 --> 00:06:03,960 Speaker 2: What what did you just say? More people becoming citizens 110 00:06:03,960 --> 00:06:06,240 Speaker 2: than ever before. By the way, it's not just Trump, 111 00:06:06,360 --> 00:06:09,679 Speaker 2: not just Christy Nolan. This is becoming a pattern Scott 112 00:06:09,680 --> 00:06:10,159 Speaker 2: be said. 113 00:06:10,080 --> 00:06:12,680 Speaker 8: Again, we can't snap our fingers and say you're going 114 00:06:12,760 --> 00:06:15,359 Speaker 8: to learn how to build ships overnight. We want to 115 00:06:15,360 --> 00:06:19,240 Speaker 8: bring semiconductor industry back to the US. There's going to 116 00:06:19,279 --> 00:06:23,840 Speaker 8: be big facilities in Arizona. So I think the president's 117 00:06:23,920 --> 00:06:28,440 Speaker 8: vision here is to bring in overseas workers where these 118 00:06:28,520 --> 00:06:31,760 Speaker 8: jobs went to have skills, who have the skills, three five, 119 00:06:32,440 --> 00:06:36,160 Speaker 8: seven years to train the US workers. Then they can 120 00:06:36,200 --> 00:06:38,840 Speaker 8: go home. The US workers fully takeover. 121 00:06:40,080 --> 00:06:42,800 Speaker 2: We're going to bring them here and then after they're 122 00:06:42,800 --> 00:06:46,120 Speaker 2: done training us stupid Americans without any skills or talent, 123 00:06:46,640 --> 00:06:49,719 Speaker 2: then they'll go home. Of course, anyone who knows anything 124 00:06:49,720 --> 00:06:54,440 Speaker 2: about illegal immigration understands actually a large percentage of the 125 00:06:54,480 --> 00:06:57,960 Speaker 2: illegals in this country are visa overstays. They don't go 126 00:06:58,040 --> 00:07:02,520 Speaker 2: home visa expuyers, they stay right here. Now, let's go 127 00:07:02,680 --> 00:07:07,719 Speaker 2: to my theory that I hope I'm correct about. I 128 00:07:07,760 --> 00:07:13,440 Speaker 2: hope I'm correct about. First, let's discuss Donald Trump. What 129 00:07:13,600 --> 00:07:18,320 Speaker 2: his belief system actually is, but what are his stances 130 00:07:18,400 --> 00:07:26,040 Speaker 2: on things? Now here's the thing. Donald Trump was a businessman, 131 00:07:26,280 --> 00:07:28,840 Speaker 2: is a businessman. You knew Donald Trump long before he 132 00:07:28,880 --> 00:07:33,200 Speaker 2: got into politics, A tough talking new York businessman, real 133 00:07:33,320 --> 00:07:37,600 Speaker 2: estate deals. He's doing his apprentice show, he's firing people. 134 00:07:37,640 --> 00:07:39,880 Speaker 2: He's Donald Trump. He's larger than life. He's in the movies. 135 00:07:40,280 --> 00:07:43,160 Speaker 2: Donald Trump. You know, you knew who he was, always 136 00:07:43,240 --> 00:07:47,880 Speaker 2: that guy and not some hardcore anti communist at all. 137 00:07:49,040 --> 00:07:52,320 Speaker 2: Really a registered Democrat, but a New York Democrat, not 138 00:07:52,400 --> 00:07:55,720 Speaker 2: one of these crazy comedies by any means. Registered democrat, 139 00:07:55,760 --> 00:07:57,720 Speaker 2: gave money to Democrats. It's kind of what he was. 140 00:07:58,880 --> 00:08:01,880 Speaker 2: But he was also man has always been a man 141 00:08:02,000 --> 00:08:05,800 Speaker 2: who understood the dangers of China. He is a man 142 00:08:05,840 --> 00:08:08,520 Speaker 2: who is understood for a very long time and spoken 143 00:08:08,560 --> 00:08:11,880 Speaker 2: out for a very long time about the dangers of 144 00:08:12,160 --> 00:08:16,840 Speaker 2: illegal immigration. We all remember how he launched his presidential 145 00:08:16,840 --> 00:08:20,640 Speaker 2: bid ten years ago. He comes down the escalator and 146 00:08:20,720 --> 00:08:23,840 Speaker 2: gives a speech. It's common now, so it's kind of 147 00:08:23,840 --> 00:08:26,400 Speaker 2: baked into the cake, but back then it was not common. 148 00:08:26,480 --> 00:08:28,880 Speaker 2: He got up and he gave a speech and he said, 149 00:08:29,120 --> 00:08:31,720 Speaker 2: these people coming in from Mexico, these are a bunch 150 00:08:31,760 --> 00:08:34,400 Speaker 2: of drug dealers and criminals and rapists, and we got 151 00:08:34,440 --> 00:08:38,000 Speaker 2: to stop it. Republican politicians did not have the stones 152 00:08:38,040 --> 00:08:41,400 Speaker 2: to talk like that back when Donald Trump gave that 153 00:08:41,520 --> 00:08:46,360 Speaker 2: speech and because of that speech, that kind of tough 154 00:08:46,440 --> 00:08:51,400 Speaker 2: talk on immigration. That is what launched Donald Trump to 155 00:08:51,440 --> 00:08:54,400 Speaker 2: the front of that presidential race, and he's never looked 156 00:08:54,440 --> 00:08:59,520 Speaker 2: back since, stomping everybody because of that speech, because the right, 157 00:08:59,720 --> 00:09:03,440 Speaker 2: you and me, we were so hungry, We are so 158 00:09:03,760 --> 00:09:10,560 Speaker 2: hungry for anyone to stop handing our country away to foreigners. 159 00:09:11,000 --> 00:09:17,880 Speaker 2: America belongs to Americans, Canada belongs to Canadians, France belongs 160 00:09:17,920 --> 00:09:22,360 Speaker 2: to Frenchmen. That is how nations are supposed to work. 161 00:09:23,480 --> 00:09:28,480 Speaker 2: We have watched for decades while politicians have handed our 162 00:09:28,559 --> 00:09:34,000 Speaker 2: country away to foreigners collaborating with businesses, and we're sick 163 00:09:34,080 --> 00:09:37,280 Speaker 2: of it. We're sick of all the amnesty crap. And 164 00:09:37,360 --> 00:09:40,880 Speaker 2: so when you hear a guy like Donald Trump step 165 00:09:40,960 --> 00:09:46,000 Speaker 2: up and say, Mexico, they're sending rapists and drugs, just 166 00:09:46,320 --> 00:09:54,320 Speaker 2: that little bit of refreshing honesty without apology. It was 167 00:09:54,360 --> 00:09:58,360 Speaker 2: like it was like being really thirsty and someone handed 168 00:09:58,440 --> 00:10:02,400 Speaker 2: you a glass of ice water. Oh, that is so refreshing, 169 00:10:02,880 --> 00:10:09,120 Speaker 2: Thank you, thank you. He spoke a plain truth everyone knew, 170 00:10:09,679 --> 00:10:13,560 Speaker 2: but no politician had the guts to say it is 171 00:10:13,760 --> 00:10:18,200 Speaker 2: The Jesse Kelly Show on a Wonderful Wednesday on Holiday 172 00:10:18,520 --> 00:10:22,319 Speaker 2: and you can email the show Jesse at Jesse kellyshow 173 00:10:22,400 --> 00:10:25,600 Speaker 2: dot com if you're just joining us. We are addressing 174 00:10:25,679 --> 00:10:30,240 Speaker 2: the the comments that Trump made about how we American well, 175 00:10:30,280 --> 00:10:31,560 Speaker 2: I mean, I'll play it again here. 176 00:10:31,559 --> 00:10:33,760 Speaker 6: They are each one b VISA thing will not be 177 00:10:33,840 --> 00:10:36,319 Speaker 6: a big priority for your administration because if you want 178 00:10:36,320 --> 00:10:39,240 Speaker 6: to raise wages for American workers, you can't flood the 179 00:10:39,240 --> 00:10:41,640 Speaker 6: country with tens of thousands or hundreds of. 180 00:10:42,480 --> 00:10:45,439 Speaker 4: We also do have to bring in talent. When we 181 00:10:45,600 --> 00:10:47,760 Speaker 4: got talent, and you know, you don't know, you don't. 182 00:10:47,800 --> 00:10:49,000 Speaker 6: We don't have talented people. 183 00:10:49,080 --> 00:10:51,560 Speaker 3: Now you don't have you don't have certain talents, and 184 00:10:51,600 --> 00:10:54,000 Speaker 3: you have to people have to learn. You can't take 185 00:10:54,040 --> 00:10:57,360 Speaker 3: people off an unapplied like an unemployment line is say 186 00:10:57,600 --> 00:10:58,920 Speaker 3: I'm going to put you into a factory. 187 00:10:59,000 --> 00:11:00,000 Speaker 4: We're going to make missiles. 188 00:11:01,559 --> 00:11:08,719 Speaker 2: Yeah, so let's discuss this. You. I don't know if 189 00:11:08,720 --> 00:11:11,800 Speaker 2: you know this or realize this, but you are way 190 00:11:11,880 --> 00:11:17,840 Speaker 2: more hardcore anti communists than Donald Trump is. He's got 191 00:11:17,840 --> 00:11:21,240 Speaker 2: more power than me or you. He probably has more 192 00:11:21,360 --> 00:11:26,200 Speaker 2: charisma than me or you, and he has been wonderful 193 00:11:26,280 --> 00:11:29,400 Speaker 2: for the America First movement and he deserves all kinds 194 00:11:29,440 --> 00:11:34,480 Speaker 2: of credit for getting it rolling, But you have always 195 00:11:34,679 --> 00:11:42,400 Speaker 2: been more hardcore than he is. He listens, though, He 196 00:11:42,880 --> 00:11:48,560 Speaker 2: listens though sometimes because he's not a traditional conservative or 197 00:11:48,600 --> 00:11:54,200 Speaker 2: anti communist like you, sometimes he has ideas that are 198 00:11:54,480 --> 00:12:04,880 Speaker 2: freaking horrible, dumb, just bad, but he listens. Do you remember, 199 00:12:05,120 --> 00:12:08,000 Speaker 2: obviously you remember COVID. Do you remember that horrible clock 200 00:12:08,040 --> 00:12:10,800 Speaker 2: shot and everything else? You remember all that? And do 201 00:12:10,800 --> 00:12:15,200 Speaker 2: you remember when Donald Trump was rolling out his second, 202 00:12:15,240 --> 00:12:18,600 Speaker 2: well his third presidential campaign, gearing up to run again 203 00:12:18,600 --> 00:12:22,920 Speaker 2: in twenty twenty four, started making the rounds, doing rallies, 204 00:12:23,240 --> 00:12:26,160 Speaker 2: doing interviews, and he would get up on stage who 205 00:12:26,240 --> 00:12:28,480 Speaker 2: he was, He was sitting down with Bill O'Reilly, and 206 00:12:28,520 --> 00:12:30,920 Speaker 2: he would say things like this about the vaccine. 207 00:12:33,120 --> 00:12:35,480 Speaker 4: Both the President and I are vax and did you 208 00:12:35,480 --> 00:12:36,080 Speaker 4: get the booster? 209 00:12:37,160 --> 00:12:37,400 Speaker 9: Yes? 210 00:12:37,640 --> 00:12:39,360 Speaker 2: I got it too, Okay, so. 211 00:12:41,520 --> 00:12:42,320 Speaker 1: D Nunn. 212 00:12:43,120 --> 00:12:44,800 Speaker 4: That's He's a very tiny group. 213 00:12:44,600 --> 00:12:47,120 Speaker 2: Of with it. It was hard to hear, but they 214 00:12:47,120 --> 00:12:50,199 Speaker 2: started booing. The crowd started booing. I don't know if 215 00:12:50,200 --> 00:12:53,800 Speaker 2: you know this, but he tried this more than once 216 00:12:53,840 --> 00:12:56,720 Speaker 2: at rallies. He would get up and he'd talked about 217 00:12:56,720 --> 00:12:59,640 Speaker 2: how great warp speed was, how great the vax was, 218 00:13:00,200 --> 00:13:02,080 Speaker 2: and every time he did it, he would get booed. 219 00:13:02,559 --> 00:13:08,280 Speaker 2: Now here's what you may not know. Donald Trump pulled friends, family, 220 00:13:08,360 --> 00:13:13,280 Speaker 2: and advisors aside and said to them, I don't understand. 221 00:13:14,120 --> 00:13:17,439 Speaker 2: They love me, they love my rallies, they love everything. 222 00:13:17,480 --> 00:13:22,200 Speaker 2: We're saying, Why am I getting booed whenever I bring 223 00:13:22,320 --> 00:13:25,360 Speaker 2: up the vaccine? And it was explained to him, probably 224 00:13:25,360 --> 00:13:27,720 Speaker 2: all the things you think about it. People were fired 225 00:13:27,760 --> 00:13:31,199 Speaker 2: over it, people were injured over it, people died over it. 226 00:13:31,480 --> 00:13:35,240 Speaker 2: This is not a popular thing you did. So whether 227 00:13:35,320 --> 00:13:39,240 Speaker 2: or not you love it is frankly an important stop 228 00:13:39,320 --> 00:13:42,320 Speaker 2: bragging about it and stop talking about it because the 229 00:13:42,400 --> 00:13:47,600 Speaker 2: people don't like it. Stop. So, he didn't have the 230 00:13:47,720 --> 00:13:50,439 Speaker 2: correct position on that. To this day he doesn't have 231 00:13:50,480 --> 00:13:53,760 Speaker 2: the correct position on that. He wants to brag about it, 232 00:13:53,840 --> 00:13:57,160 Speaker 2: he loves it. To this day he doesn't, but he 233 00:13:57,320 --> 00:14:03,760 Speaker 2: stays relatively quiet about it. Why because of you? Because 234 00:14:04,000 --> 00:14:09,840 Speaker 2: you are more hardcore than he is. You always have been. 235 00:14:10,360 --> 00:14:12,600 Speaker 2: He is the beginning. Remember, the next one will be 236 00:14:12,640 --> 00:14:14,880 Speaker 2: more hardcore than him, and then a while after that'll 237 00:14:14,920 --> 00:14:18,200 Speaker 2: be more hardcore than him. He's not the end. He's 238 00:14:18,320 --> 00:14:25,680 Speaker 2: the beginning. And to his credit, he listens, we need 239 00:14:25,720 --> 00:14:30,800 Speaker 2: the mass deportation of foreigners. We do not need a 240 00:14:30,840 --> 00:14:34,440 Speaker 2: single more illegal, and we don't need a single more legal. 241 00:14:35,400 --> 00:14:39,040 Speaker 2: We don't need more h one b's. We don't need 242 00:14:39,720 --> 00:14:43,960 Speaker 2: fewer jobs for Americans and more jobs for foreigners who 243 00:14:44,000 --> 00:14:47,480 Speaker 2: then turn around and hire only other foreigners. This is 244 00:14:47,520 --> 00:14:51,360 Speaker 2: a terrible idea, it's terrible policy. And by the way, 245 00:14:51,680 --> 00:14:56,560 Speaker 2: it's absolutely putred to say the American people don't have 246 00:14:56,680 --> 00:15:01,120 Speaker 2: the talent to do these jobs, especially when you're referencing 247 00:15:01,280 --> 00:15:03,040 Speaker 2: freaking factory Joe one b. 248 00:15:03,200 --> 00:15:06,520 Speaker 6: Visa thing will not be a big priority for your administration, 249 00:15:06,560 --> 00:15:08,960 Speaker 6: because if you want to raise wages for American workers, 250 00:15:09,240 --> 00:15:11,920 Speaker 6: you can't flood the country with tens of thousands or 251 00:15:12,000 --> 00:15:12,640 Speaker 6: hundreds of eyes. 252 00:15:13,120 --> 00:15:16,160 Speaker 4: And we also do have to bring in talent. When 253 00:15:16,200 --> 00:15:17,200 Speaker 4: we're got talent. 254 00:15:18,600 --> 00:15:20,120 Speaker 6: We don't have talent in people. 255 00:15:19,840 --> 00:15:22,320 Speaker 3: Now you don't have you don't have certain talents, and 256 00:15:22,400 --> 00:15:24,800 Speaker 3: you have to people have to learn. You can't take 257 00:15:24,800 --> 00:15:28,720 Speaker 3: people off an unemployed like an unemployment line and say I'm. 258 00:15:28,560 --> 00:15:29,960 Speaker 4: Going to put you into a factory. Who we are 259 00:15:29,960 --> 00:15:31,280 Speaker 4: going to make missiles? 260 00:15:32,800 --> 00:15:35,960 Speaker 2: Do you know who built all those tanks and planes 261 00:15:36,160 --> 00:15:40,280 Speaker 2: and bombs and bullets in World War Two? Who actually 262 00:15:40,280 --> 00:15:46,200 Speaker 2: physically built them. Women, women who had never worked in 263 00:15:46,280 --> 00:15:51,040 Speaker 2: a factory. Ever, the men had to go off to war, 264 00:15:52,120 --> 00:15:57,880 Speaker 2: women patriotically and wonderfully had no other choice but to 265 00:15:57,960 --> 00:16:02,400 Speaker 2: step up to support the war effort. Step into a factory. 266 00:16:02,720 --> 00:16:04,920 Speaker 2: You were just a school teacher, You were just a 267 00:16:04,960 --> 00:16:07,600 Speaker 2: stay at home mom. You were just this. You were that. 268 00:16:07,920 --> 00:16:10,480 Speaker 2: They had to put on their jeans and step into 269 00:16:10,520 --> 00:16:13,560 Speaker 2: a factory, having never done that labor in their lives, 270 00:16:14,280 --> 00:16:17,760 Speaker 2: and they had to be trained there. Hey, this is 271 00:16:17,800 --> 00:16:21,640 Speaker 2: how you make planes. It's important you do. And they did, 272 00:16:21,840 --> 00:16:27,120 Speaker 2: completely untrained, completely unprepared. America's women stepped up like freaking 273 00:16:27,240 --> 00:16:31,840 Speaker 2: saints and patriots immediately were trained. We put out everything 274 00:16:31,880 --> 00:16:36,040 Speaker 2: from those factories in large part because of women, untrained 275 00:16:36,040 --> 00:16:40,280 Speaker 2: ones doing the work. It is the Jesse Kelly Show 276 00:16:40,560 --> 00:16:43,080 Speaker 2: on a wonderful Wednesday Memory. If you missed any part 277 00:16:43,120 --> 00:16:46,520 Speaker 2: of the show, you can download at iHeart Spotify iTunes. 278 00:16:46,600 --> 00:16:51,400 Speaker 2: So time for my good theory that will probably make 279 00:16:51,480 --> 00:16:55,800 Speaker 2: you feel better about why we are suddenly getting this 280 00:16:56,080 --> 00:16:59,360 Speaker 2: messaging from Trump, from Christom from scott descent about how 281 00:16:59,400 --> 00:17:01,760 Speaker 2: important it is that we get more foreigners in here. 282 00:17:02,640 --> 00:17:05,359 Speaker 2: Because you're too stupid. You don't have the talent we 283 00:17:05,480 --> 00:17:09,720 Speaker 2: need these foreigners. Why are we getting this messaging. Well, 284 00:17:09,760 --> 00:17:12,480 Speaker 2: we'll get to that specifically. But my good part of 285 00:17:12,480 --> 00:17:17,320 Speaker 2: the theory is this, Donald Trump listens when the base 286 00:17:17,400 --> 00:17:20,960 Speaker 2: gets angry about things he says or does, and he 287 00:17:21,119 --> 00:17:26,560 Speaker 2: changes course. I believe this could possibly be a trial 288 00:17:26,600 --> 00:17:31,280 Speaker 2: balloon by the Trump administration. I believe the Trump administration 289 00:17:31,480 --> 00:17:34,479 Speaker 2: has a bunch of very big business interests around it, 290 00:17:34,520 --> 00:17:37,160 Speaker 2: as any administration would. Those are going to be your 291 00:17:37,160 --> 00:17:39,600 Speaker 2: big donors. Those are going to be your big billionaire. 292 00:17:39,640 --> 00:17:44,159 Speaker 2: Fancy advisors and big businesses. Love cheap foreign labor, and 293 00:17:44,200 --> 00:17:48,760 Speaker 2: they hate hiring Americans. Much better to grab some foreigner. 294 00:17:48,800 --> 00:17:51,240 Speaker 2: You can pay pennies on the dollar. It's terrible for 295 00:17:51,280 --> 00:17:53,040 Speaker 2: the country, but they love it. It's great for their 296 00:17:53,040 --> 00:17:56,800 Speaker 2: bottom line. Those people surround Donald Trump, they're in his 297 00:17:56,880 --> 00:17:59,600 Speaker 2: ear more h one b's more h one bs, more foreigners, 298 00:17:59,600 --> 00:18:05,400 Speaker 2: more foreign there's more foreigners. Donald Trump deploys his administration himself, 299 00:18:05,560 --> 00:18:09,760 Speaker 2: but sent deploys them to the news to float this 300 00:18:09,800 --> 00:18:13,440 Speaker 2: one out there and see how the base reacts to it. 301 00:18:15,119 --> 00:18:18,959 Speaker 2: I believe the anger they are hearing today, they are 302 00:18:19,119 --> 00:18:22,520 Speaker 2: feeling today from Trump hardcores it's not like it's a 303 00:18:22,520 --> 00:18:25,840 Speaker 2: bunch of never trumpers out there from Trump hardcores. The 304 00:18:25,880 --> 00:18:29,679 Speaker 2: administration is hearing it. I think there is a chance 305 00:18:30,119 --> 00:18:33,639 Speaker 2: this was a trial balloon that you popped with your 306 00:18:33,680 --> 00:18:41,280 Speaker 2: anger today. That's what I think. That's one theory. Now 307 00:18:42,400 --> 00:18:47,920 Speaker 2: just sit down and get ready now for the theory 308 00:18:47,960 --> 00:18:51,199 Speaker 2: that I think may make you feel really bad. It 309 00:18:51,240 --> 00:18:55,439 Speaker 2: makes me feel very bad, and I'm very concerned that 310 00:18:55,560 --> 00:19:01,119 Speaker 2: this theory is the accurate one. All right, do you 311 00:19:01,200 --> 00:19:06,800 Speaker 2: remember how odd it was how Trump all of a sudden, 312 00:19:06,880 --> 00:19:12,439 Speaker 2: almost out of nowhere, started to shout down any discussion 313 00:19:12,600 --> 00:19:14,800 Speaker 2: of the Jeffrey Epstein stuff. This is not going to 314 00:19:14,840 --> 00:19:16,800 Speaker 2: be about Epstein. This is an example. Just stay with me. 315 00:19:17,480 --> 00:19:19,240 Speaker 2: You remember it was almost out of the blue. We 316 00:19:19,520 --> 00:19:22,439 Speaker 2: were always told the Epstein files are coming. I have 317 00:19:22,480 --> 00:19:24,560 Speaker 2: the file on my desk, we're going to release it. 318 00:19:24,560 --> 00:19:27,840 Speaker 2: We're going to expose on this. You remember all of it, 319 00:19:28,480 --> 00:19:31,360 Speaker 2: and there was never a peep really from Trump about it. 320 00:19:32,200 --> 00:19:34,800 Speaker 2: And then out of the blue, out of the blue, 321 00:19:34,880 --> 00:19:38,280 Speaker 2: completely unprompted, we started getting stuff like this. Do you 322 00:19:38,280 --> 00:19:38,679 Speaker 2: remember this. 323 00:19:38,680 --> 00:19:40,280 Speaker 5: I see why there was a minute to see from 324 00:19:40,359 --> 00:19:41,840 Speaker 5: the jail house team. 325 00:19:42,400 --> 00:19:48,919 Speaker 9: Yeah, sir, Are you still talking about Jeffrey Epstein? This 326 00:19:49,000 --> 00:19:53,400 Speaker 9: guy's been talked about for years. You're asking, we have Texas, 327 00:19:53,520 --> 00:19:56,639 Speaker 9: we have this, we have all of the things, and 328 00:19:56,840 --> 00:19:58,640 Speaker 9: are people still talking about this guy? 329 00:19:58,720 --> 00:20:03,920 Speaker 4: This creep that is unbelievable. Do you want to waste 330 00:20:03,960 --> 00:20:05,920 Speaker 4: the time? And do you feel like answered? 331 00:20:06,080 --> 00:20:11,080 Speaker 2: I don't know. It wasn't a one off. Almost as 332 00:20:11,080 --> 00:20:13,840 Speaker 2: if someone snapped their fingers in front of his face 333 00:20:13,880 --> 00:20:17,280 Speaker 2: and he was coming out of or going into hypnosis 334 00:20:17,480 --> 00:20:19,520 Speaker 2: and he started just to meet a shut up? What 335 00:20:19,520 --> 00:20:20,800 Speaker 2: are you talking about? Epstein? 336 00:20:20,880 --> 00:20:21,120 Speaker 3: Four? 337 00:20:22,240 --> 00:20:27,760 Speaker 2: Everyone hit up, but stop talking about this? Move on? Whoa, whoa. 338 00:20:27,760 --> 00:20:29,439 Speaker 2: We were all a little taken aback. Where is this 339 00:20:29,480 --> 00:20:30,600 Speaker 2: coming from? What's going on? 340 00:20:31,720 --> 00:20:31,920 Speaker 4: Well? 341 00:20:33,119 --> 00:20:37,040 Speaker 2: What was going on? Well, here's what was going on. 342 00:20:38,119 --> 00:20:40,240 Speaker 2: I don't know about the specifics of it, but it's 343 00:20:40,280 --> 00:20:43,200 Speaker 2: obvious now from things we've heard and things we've learned 344 00:20:43,240 --> 00:20:48,840 Speaker 2: what was going on. There wasn't necessarily a file a 345 00:20:48,880 --> 00:20:53,240 Speaker 2: piece of paper lining out every rich, powerful man who 346 00:20:53,320 --> 00:20:56,760 Speaker 2: was a pedophile. There were a bunch of files, a 347 00:20:56,800 --> 00:20:59,880 Speaker 2: bunch of papers, a bunch of flight logs, a bunch 348 00:20:59,880 --> 00:21:04,040 Speaker 2: of people who either did business or nefarious business with 349 00:21:04,119 --> 00:21:08,520 Speaker 2: Jeffrey Epstein. There's a bunch of stuff to it. And 350 00:21:08,720 --> 00:21:13,440 Speaker 2: Donald Trump reacted that way at that time because he 351 00:21:13,600 --> 00:21:15,960 Speaker 2: knows things before you will know them, or before I 352 00:21:16,000 --> 00:21:19,760 Speaker 2: will know them. That's just part of being president. And 353 00:21:19,880 --> 00:21:24,800 Speaker 2: he was trying to get out ahead of something. He 354 00:21:24,960 --> 00:21:28,719 Speaker 2: was trying to prep the ground for something. What is 355 00:21:28,760 --> 00:21:30,800 Speaker 2: that something? I told you what my theory was at 356 00:21:30,840 --> 00:21:33,240 Speaker 2: the time, and that has since proven to at least 357 00:21:33,320 --> 00:21:37,160 Speaker 2: be partially true. My theory was that Donald Trump never 358 00:21:37,200 --> 00:21:41,439 Speaker 2: did anything inappropriate with these young girls, but his name 359 00:21:41,760 --> 00:21:44,879 Speaker 2: was in those files because he runs in the billionaire 360 00:21:44,920 --> 00:21:46,920 Speaker 2: world and that's a small world, and they were going 361 00:21:46,960 --> 00:21:50,360 Speaker 2: to have dealings together, and he knew his name, his 362 00:21:50,560 --> 00:21:52,720 Speaker 2: name was coming out. And that has turned out to 363 00:21:52,800 --> 00:21:54,399 Speaker 2: be true. And by the way, he didn't do anything 364 00:21:54,440 --> 00:21:57,239 Speaker 2: wrong with Jeffrey Epstein. There's no evidence of that, no 365 00:21:57,320 --> 00:22:01,080 Speaker 2: indication of that whatsoever. But he knew his name was coming. 366 00:22:02,160 --> 00:22:07,720 Speaker 2: Another part of this theory could be he knew that friends' 367 00:22:07,800 --> 00:22:11,920 Speaker 2: names were coming maybe in not such a flattering light 368 00:22:12,000 --> 00:22:14,920 Speaker 2: donald Trump is. Every time we see more Trump documents 369 00:22:14,920 --> 00:22:18,240 Speaker 2: in there, he gets more and more exonerated. Maybe there's 370 00:22:18,280 --> 00:22:21,800 Speaker 2: a friend who doesn't look quite as shiny and new 371 00:22:21,840 --> 00:22:25,879 Speaker 2: as Donald Trump does. Maybe there's a business associate, a 372 00:22:25,960 --> 00:22:30,639 Speaker 2: large donor maybe there's something. Either way, Donald Trump launches 373 00:22:30,720 --> 00:22:34,240 Speaker 2: into an unprompted tirade about it several times. It wasn't 374 00:22:34,280 --> 00:22:36,639 Speaker 2: just once. He went off about it on social media, 375 00:22:37,040 --> 00:22:42,000 Speaker 2: screened at any Republican who was want to get released. Today. Reportedly, 376 00:22:42,119 --> 00:22:45,320 Speaker 2: and this has been confirmed, I believe by now, Lauren Bobert, 377 00:22:45,359 --> 00:22:49,000 Speaker 2: congresswoman out of Colorado, was called in front of the 378 00:22:49,040 --> 00:22:52,720 Speaker 2: Boss because she's pushing to have the files released. To 379 00:22:52,840 --> 00:22:56,240 Speaker 2: this day, they have started to tell everybody they can 380 00:22:56,320 --> 00:23:00,400 Speaker 2: about the whole thing. Shut up, why launch into TI 381 00:23:00,720 --> 00:23:01,720 Speaker 2: Why there was a minute. 382 00:23:01,480 --> 00:23:03,600 Speaker 5: Missing from the gel House team. 383 00:23:04,119 --> 00:23:05,280 Speaker 2: Yeah, I'm good. 384 00:23:05,320 --> 00:23:05,879 Speaker 4: I just said you. 385 00:23:07,760 --> 00:23:11,199 Speaker 9: Are you still talking about Jeffrey Epstein? This guy's been 386 00:23:11,240 --> 00:23:15,760 Speaker 9: talked about for years. You're asking, we have Texas, what. 387 00:23:15,760 --> 00:23:19,240 Speaker 2: Are you talking about? Shut up and move on. He 388 00:23:19,440 --> 00:23:25,000 Speaker 2: was trying to get out in front of something. Now, 389 00:23:26,760 --> 00:23:31,040 Speaker 2: now for the hard part. You remember I told you 390 00:23:31,840 --> 00:23:35,240 Speaker 2: about the people around Donald Trump, and this is going 391 00:23:35,280 --> 00:23:39,560 Speaker 2: to be the same for any presidential administration. What we 392 00:23:39,640 --> 00:23:42,040 Speaker 2: always want, what we crave, at least what I've always 393 00:23:42,119 --> 00:23:48,240 Speaker 2: craved is I know it sounds cliche, a people's champion. 394 00:23:49,880 --> 00:23:55,960 Speaker 2: We want somebody who cares about you and me, not 395 00:23:56,119 --> 00:24:03,919 Speaker 2: McDonald's and Facebook and Google and Ford and Chevy. We 396 00:24:03,960 --> 00:24:05,919 Speaker 2: got that and method. You don't have to be anti 397 00:24:05,960 --> 00:24:11,080 Speaker 2: business or anti corporation. What we have always craved is 398 00:24:11,160 --> 00:24:17,280 Speaker 2: a people's champion, somebody who cares about us. And Donald 399 00:24:17,280 --> 00:24:23,000 Speaker 2: Trump historically has shown that he does, if not care 400 00:24:23,359 --> 00:24:26,320 Speaker 2: for you or me, doesn't have the stain for you 401 00:24:26,440 --> 00:24:29,879 Speaker 2: and me. Why was that? Do you remember? Do you 402 00:24:29,960 --> 00:24:34,240 Speaker 2: remember the McDonald's photo op? Almost everyone who paid attention 403 00:24:34,280 --> 00:24:37,199 Speaker 2: to the campaign remembers it. Donald Trump was up in 404 00:24:37,240 --> 00:24:39,680 Speaker 2: the polls. He was up in the polls. It looked 405 00:24:39,720 --> 00:24:42,800 Speaker 2: like he was gonna win. Then one day out of 406 00:24:42,840 --> 00:24:47,879 Speaker 2: the blue, Donald Trump drops his jacket, shows up at 407 00:24:47,880 --> 00:24:53,000 Speaker 2: a McDonald's, throws on a McDonald's apron, he's putting fries 408 00:24:53,040 --> 00:24:56,280 Speaker 2: in the McDonald's boxes, and he's handing out meals to 409 00:24:56,320 --> 00:25:00,280 Speaker 2: people through the drive through window. Was it a political stunt? Oh, 410 00:25:00,320 --> 00:25:04,560 Speaker 2: my gosh, of course it was. But it was endearing 411 00:25:04,720 --> 00:25:08,040 Speaker 2: in a way, wasn't it. It made it. I don't 412 00:25:08,040 --> 00:25:09,320 Speaker 2: care if it was a photo op. I don't care 413 00:25:09,320 --> 00:25:11,720 Speaker 2: if it was a half hour forty five minutes for 414 00:25:11,800 --> 00:25:15,000 Speaker 2: a half hour forty five minutes. He wasn't above doing 415 00:25:15,040 --> 00:25:17,960 Speaker 2: what you either do now or date in your youth, 416 00:25:18,480 --> 00:25:22,160 Speaker 2: wasn't above it and wanted to show you he wasn't 417 00:25:22,200 --> 00:25:25,760 Speaker 2: above it. What was that stunt? What was it? In reality? 418 00:25:26,200 --> 00:25:30,639 Speaker 2: That was a I'm your people's champion stunt, That's what 419 00:25:30,720 --> 00:25:33,600 Speaker 2: that was. I'm not too good for you. I'm not 420 00:25:33,680 --> 00:25:36,240 Speaker 2: too good to do the things you've done. That's what 421 00:25:36,280 --> 00:25:42,399 Speaker 2: that was. But presidential administrations have a very difficult time 422 00:25:43,359 --> 00:25:46,800 Speaker 2: staying that way. I'll give you the ugly part of 423 00:25:46,840 --> 00:25:51,680 Speaker 2: my theory. Next, it is the Jesse Kelly Show on 424 00:25:51,800 --> 00:25:54,920 Speaker 2: a wonderful Wednesday. You can email the show your love, 425 00:25:54,960 --> 00:25:57,520 Speaker 2: your heye, your death, threads, whatever you would like, Jesse 426 00:25:57,840 --> 00:26:04,000 Speaker 2: at Jesse kellyshow dot com. So now for my bad theory. 427 00:26:04,000 --> 00:26:06,120 Speaker 2: I had two theories. I already gave you the first one. 428 00:26:06,840 --> 00:26:09,560 Speaker 2: Maybe Trump's floating a trial balloon out about how we 429 00:26:09,680 --> 00:26:12,199 Speaker 2: gotta have more h one bs just to see how 430 00:26:12,240 --> 00:26:15,080 Speaker 2: you'll react. You've been furious all day. Maybe they back off. 431 00:26:15,119 --> 00:26:15,320 Speaker 8: Now. 432 00:26:17,000 --> 00:26:22,199 Speaker 2: Now for the other part of it, Donald Trump thinks 433 00:26:22,880 --> 00:26:26,879 Speaker 2: in grand ways men like that do. That's going to 434 00:26:26,920 --> 00:26:29,840 Speaker 2: be almost impossible for someone like me or someone like 435 00:26:29,880 --> 00:26:32,920 Speaker 2: you to fully understand. I'm not a billionaire, I've never 436 00:26:32,960 --> 00:26:37,280 Speaker 2: been president. My name is an unbuildings. It's just guys 437 00:26:37,560 --> 00:26:42,120 Speaker 2: like that think bigger than normal people like us think. 438 00:26:42,240 --> 00:26:44,800 Speaker 2: You know, Elon Musk, you know what my goals are. 439 00:26:44,880 --> 00:26:46,720 Speaker 2: I want to eat red lobster. That's what I want. 440 00:26:46,840 --> 00:26:49,920 Speaker 2: Elon Musk wants to go to Mars. He's currently coming 441 00:26:50,000 --> 00:26:52,600 Speaker 2: up with a plan for humans to live underground in Mars. 442 00:26:53,160 --> 00:26:55,679 Speaker 2: We don't think the same. Donald Trump is one of 443 00:26:55,680 --> 00:26:59,720 Speaker 2: those guys. Donald Trump is in his final run at 444 00:26:59,720 --> 00:27:04,000 Speaker 2: the press. But wait, it's actually worse than that. Donald 445 00:27:04,080 --> 00:27:08,840 Speaker 2: Trump is a year away, if we're being realistic, from 446 00:27:09,000 --> 00:27:13,240 Speaker 2: losing control of the House of Representatives. You know it 447 00:27:13,280 --> 00:27:16,480 Speaker 2: and I know it. He is. We will try to 448 00:27:16,520 --> 00:27:19,200 Speaker 2: mitigate those losses through our hard work. Don't get me wrong, 449 00:27:19,280 --> 00:27:23,280 Speaker 2: but Democrats are probably going to have the House in 450 00:27:23,359 --> 00:27:28,080 Speaker 2: a year. A year from now. Donald Trump, like every 451 00:27:28,160 --> 00:27:33,480 Speaker 2: single American president, wants a signature piece of legislation, and 452 00:27:33,520 --> 00:27:36,560 Speaker 2: they all get one, all of them. Maybe some good, 453 00:27:36,640 --> 00:27:39,920 Speaker 2: some bad, lots of it's bad. Really, most of it's bad. 454 00:27:39,960 --> 00:27:44,360 Speaker 2: Obamacare Inflation Reduction Act. You know these stupid large, horrible 455 00:27:44,400 --> 00:27:50,800 Speaker 2: pieces of legislation. Donald Trump understands that after if I'm correct, 456 00:27:51,200 --> 00:27:53,679 Speaker 2: if Democrats take the House at the midterms, and they 457 00:27:53,880 --> 00:27:58,960 Speaker 2: likely will, he's not getting any legislation of any kind through. 458 00:27:59,400 --> 00:28:02,080 Speaker 2: He's a fish, actually a lame duck president when it 459 00:28:02,119 --> 00:28:07,800 Speaker 2: comes to laws for two years, he has one year left. Now, 460 00:28:07,840 --> 00:28:11,480 Speaker 2: what kind of majorities do we have. We don't have 461 00:28:11,560 --> 00:28:14,119 Speaker 2: sixty votes in the Senate. That's why the government just 462 00:28:14,160 --> 00:28:18,000 Speaker 2: shut down. You need sixty votes to pass laws. We 463 00:28:18,040 --> 00:28:21,040 Speaker 2: don't have those sixty votes. We don't have a big 464 00:28:21,080 --> 00:28:23,520 Speaker 2: majority in the House. We have a majority, it's a 465 00:28:23,640 --> 00:28:28,480 Speaker 2: very very thin majority in the House. In fact, what 466 00:28:28,640 --> 00:28:31,199 Speaker 2: reinforces the theory I'm about to lay out there is 467 00:28:31,200 --> 00:28:34,040 Speaker 2: the fact that Donald Trump has been screaming at the 468 00:28:34,080 --> 00:28:37,360 Speaker 2: top of his lungs to end the filibuster, which makes 469 00:28:37,359 --> 00:28:39,360 Speaker 2: a lot of people uncomfortable. What if we do that? 470 00:28:39,480 --> 00:28:42,520 Speaker 2: What will Democrats do? But why is this all of 471 00:28:42,520 --> 00:28:46,000 Speaker 2: a sudden something he's freaking out about. I'm here to 472 00:28:46,080 --> 00:28:50,840 Speaker 2: tell you Donald Trump wants a piece of legislation, something 473 00:28:51,040 --> 00:28:54,000 Speaker 2: he can hang around his neck as they carve his 474 00:28:54,120 --> 00:28:57,600 Speaker 2: face on Mount Rushmore. Don't laugh. That's how people like 475 00:28:57,680 --> 00:29:01,600 Speaker 2: that think they're different than us. That's how they think. 476 00:29:03,080 --> 00:29:06,320 Speaker 2: Donald Trump has a year to get that legislation through. 477 00:29:07,160 --> 00:29:12,280 Speaker 2: So what if this is the case, and I want 478 00:29:12,280 --> 00:29:16,600 Speaker 2: to make sure I shout this so we're very clear 479 00:29:16,680 --> 00:29:20,240 Speaker 2: on it. I have not had rumors come into my 480 00:29:20,360 --> 00:29:24,160 Speaker 2: ear about this. What I am noticing is a pattern. 481 00:29:25,880 --> 00:29:29,320 Speaker 2: I am noticing a pattern that the administration is trying 482 00:29:29,360 --> 00:29:34,600 Speaker 2: to sell foreign labor. Christinoham's talking about it, Donald Trump's 483 00:29:34,600 --> 00:29:38,760 Speaker 2: talking about it, Scott Bessent's talking about it. My theory 484 00:29:38,960 --> 00:29:45,840 Speaker 2: is he wants an immigration bill, and it's not going 485 00:29:45,880 --> 00:29:50,960 Speaker 2: to be one. You like, what kind of immigration bill 486 00:29:51,800 --> 00:29:57,440 Speaker 2: could possibly pass the House with such a narrow majority 487 00:29:57,920 --> 00:30:01,720 Speaker 2: and pass the Senate when we are going to need 488 00:30:02,400 --> 00:30:06,160 Speaker 2: Democrat votes for it. What sort of an immigration bill 489 00:30:06,160 --> 00:30:09,440 Speaker 2: would it be? Well, when I said immigration bill, I 490 00:30:09,560 --> 00:30:13,080 Speaker 2: hope you weren't thinking fifty thousand more ice agents and 491 00:30:13,120 --> 00:30:16,040 Speaker 2: one hundred foot wall with the moat and alligators on 492 00:30:16,080 --> 00:30:19,080 Speaker 2: the border. Oh, there may be just a little bit 493 00:30:19,120 --> 00:30:22,320 Speaker 2: of that. But if you're going to get the demonic 494 00:30:22,360 --> 00:30:26,400 Speaker 2: communists to sign on to any kind of an immigration bill, 495 00:30:27,120 --> 00:30:32,800 Speaker 2: it's going to be horrific. It's going to contain things 496 00:30:33,200 --> 00:30:35,280 Speaker 2: that are going to make you want to vomit in 497 00:30:35,320 --> 00:30:39,560 Speaker 2: a trash. Can My bad theory, and I pray to 498 00:30:39,840 --> 00:30:44,760 Speaker 2: God I'm wrong, is that Trump is currently prepping the 499 00:30:44,840 --> 00:30:48,760 Speaker 2: ground for an immigration bill that is going to make 500 00:30:48,800 --> 00:30:53,600 Speaker 2: you want to punch through a window. I notice patterns, 501 00:30:53,640 --> 00:30:58,400 Speaker 2: You notice patterns. We're not stupid people. In a twenty 502 00:30:58,480 --> 00:31:01,080 Speaker 2: four hour span, all of these things happen. 503 00:31:01,240 --> 00:31:03,640 Speaker 6: H one B visa thing will not be a big 504 00:31:03,880 --> 00:31:06,040 Speaker 6: priority for your administration because if you want to raise 505 00:31:06,080 --> 00:31:09,440 Speaker 6: wages for American workers, you can't flood the country with 506 00:31:09,640 --> 00:31:11,240 Speaker 6: tens of thousands or hundreds of doles. 507 00:31:11,720 --> 00:31:13,960 Speaker 4: And we also do have to bring in talent. 508 00:31:14,480 --> 00:31:16,280 Speaker 6: When we're gone to your talent and I know you 509 00:31:16,640 --> 00:31:18,880 Speaker 6: know you don't we don't have talent people now. 510 00:31:18,680 --> 00:31:21,000 Speaker 3: You don't have you don't have certain talents, and you 511 00:31:21,000 --> 00:31:23,600 Speaker 3: have to people have to learn. You can't take people 512 00:31:23,640 --> 00:31:27,040 Speaker 3: off an unapplied like an unemployment line and say I'm 513 00:31:27,040 --> 00:31:28,160 Speaker 3: going to put you into a factory. 514 00:31:28,280 --> 00:31:29,280 Speaker 4: We're going to make missiles. 515 00:31:31,360 --> 00:31:34,040 Speaker 7: This so we're going to keep using our visa programs. 516 00:31:34,040 --> 00:31:35,800 Speaker 7: We're just going to make sure that they have integrity, 517 00:31:36,160 --> 00:31:38,680 Speaker 7: that we're actually doing the vetting of the individuals who 518 00:31:38,760 --> 00:31:40,480 Speaker 7: come into this country that they want to be here 519 00:31:40,520 --> 00:31:43,480 Speaker 7: for the right reasons, that they're not supporters of terrorists 520 00:31:43,880 --> 00:31:46,960 Speaker 7: and organizations that hate America. And that's what I think 521 00:31:47,040 --> 00:31:49,920 Speaker 7: is so remarkable is under the Trump administration we've sped 522 00:31:50,040 --> 00:31:53,120 Speaker 7: up our process and added integrity to the visa programs, 523 00:31:53,520 --> 00:31:56,200 Speaker 7: to green cards, to all of that. But also more 524 00:31:56,240 --> 00:31:59,920 Speaker 7: people are becoming naturalized under this administration than ever before. 525 00:32:00,320 --> 00:32:03,080 Speaker 7: More people are becoming citizens than this. 526 00:32:03,320 --> 00:32:06,520 Speaker 8: You're going to see sub substantial announcements over the next 527 00:32:06,600 --> 00:32:10,040 Speaker 8: couple of days in terms of things we don't grow 528 00:32:10,080 --> 00:32:13,800 Speaker 8: here in the United States, coffee being one of them. 529 00:32:14,520 --> 00:32:16,280 Speaker 2: Benana, that's the wrong one. 530 00:32:16,600 --> 00:32:20,440 Speaker 8: This again, we can't snap our fingers and say you're 531 00:32:20,440 --> 00:32:23,040 Speaker 8: going to learn how to build ships overnight. We want 532 00:32:23,080 --> 00:32:26,959 Speaker 8: to bring semiconductor industry back to the US. They're going 533 00:32:27,000 --> 00:32:31,120 Speaker 8: to be big facilities in Arizona. So I think the 534 00:32:31,120 --> 00:32:35,960 Speaker 8: President's vision here is to bring in overseas workers where 535 00:32:35,960 --> 00:32:38,400 Speaker 8: these jobs went, who have skills, who have the skills, 536 00:32:38,720 --> 00:32:43,280 Speaker 8: three five, seven years to train the US workers. Then 537 00:32:43,520 --> 00:32:46,520 Speaker 8: they can go home the US workers fully takeover. 538 00:32:47,280 --> 00:32:51,840 Speaker 2: I think interests around Donald Trump who are not people's champions, 539 00:32:52,560 --> 00:32:55,200 Speaker 2: I think they are in his ear. I think every 540 00:32:55,240 --> 00:32:59,520 Speaker 2: time he proposes reductions to illegal immigration and legal immigration, 541 00:33:00,080 --> 00:33:04,240 Speaker 2: phone blows up with billionaires telling him how badly they 542 00:33:04,320 --> 00:33:10,040 Speaker 2: need twenty thousand more Indians and not American workers at all. 543 00:33:10,800 --> 00:33:13,640 Speaker 2: And I think, in an effort to get a piece 544 00:33:13,680 --> 00:33:16,920 Speaker 2: of legislation passed, maybe it won't be legislation, maybe it'd 545 00:33:16,920 --> 00:33:21,200 Speaker 2: be some disastrous just executive order. I think he's planning 546 00:33:21,280 --> 00:33:25,080 Speaker 2: on doing something that's probably going to make it angry there. 547 00:33:25,320 --> 00:33:27,360 Speaker 2: I'm gonna drop it, and I'm gonna pray I'm wrong. 548 00:33:27,600 --> 00:33:30,520 Speaker 2: We're gonna move on and hopefully not discuss this anymore