1 00:00:00,320 --> 00:00:04,960 Speaker 1: You know your house smells, don't get mad. Don't get mad. 2 00:00:05,040 --> 00:00:06,840 Speaker 1: My house smells too. I'm not I'm not indicting you. 3 00:00:06,920 --> 00:00:09,520 Speaker 1: I'm sure you keep a clean home, but just time 4 00:00:10,240 --> 00:00:13,840 Speaker 1: means you're going to acquire smells. Whether those are cooking 5 00:00:13,920 --> 00:00:17,000 Speaker 1: smells that get in your paint, your carpet, maybe their 6 00:00:17,079 --> 00:00:20,600 Speaker 1: animals smells. Maybe you're a smoker, or someone else was 7 00:00:20,680 --> 00:00:25,640 Speaker 1: just living create smells. I didn't realize that my home 8 00:00:25,800 --> 00:00:28,840 Speaker 1: had a smell to it until I got my first 9 00:00:29,080 --> 00:00:32,800 Speaker 1: Eden Pure Thunderstorm, the greatest air purifier I've ever owned 10 00:00:32,800 --> 00:00:35,640 Speaker 1: in my life. This thing. I had it plugged in 11 00:00:35,680 --> 00:00:37,559 Speaker 1: for two hours. I came back in the room and 12 00:00:37,600 --> 00:00:42,200 Speaker 1: my air smells so clean. I now owned three of them. 13 00:00:42,360 --> 00:00:45,560 Speaker 1: I'm not making that up. This thing has absolutely changed 14 00:00:45,600 --> 00:00:47,800 Speaker 1: me on top of what it's done from my allergies. 15 00:00:48,200 --> 00:00:51,520 Speaker 1: Go get one, get two, you like me, and get three. 16 00:00:51,760 --> 00:00:55,000 Speaker 1: Go to eden Pure deals dot com. Make sure you 17 00:00:55,200 --> 00:00:58,400 Speaker 1: use the promo code Jesse that gets you ten bucks 18 00:00:58,400 --> 00:01:01,440 Speaker 1: off and free shipping. Eden here deals dot com promo 19 00:01:01,520 --> 00:01:07,840 Speaker 1: code Jesse. We have Trump rally clips, we have some 20 00:01:07,959 --> 00:01:13,720 Speaker 1: ACB hearing clips and something I don't like. Oh that's 21 00:01:13,760 --> 00:01:25,360 Speaker 1: coming up right, now, and I'm right we have to 22 00:01:25,400 --> 00:01:27,959 Speaker 1: talk about something you and I. It's time to talk 23 00:01:28,000 --> 00:01:31,560 Speaker 1: about something I. And this is going to sound like 24 00:01:31,600 --> 00:01:35,120 Speaker 1: the cheesiest, hokeiest thing you've ever heard in your life. 25 00:01:35,360 --> 00:01:38,400 Speaker 1: And I realize you're gonna hear me say this, and 26 00:01:38,440 --> 00:01:42,040 Speaker 1: you're gonna think, well, Jesse's giving up his TV career 27 00:01:42,560 --> 00:01:46,280 Speaker 1: and radio career and he's running for president. I promise 28 00:01:46,319 --> 00:01:49,000 Speaker 1: you I am not, nor would I be able to 29 00:01:49,040 --> 00:01:54,520 Speaker 1: do so. Mistakes have been made. However, I love the 30 00:01:54,640 --> 00:01:59,480 Speaker 1: United States of America. I love it. I know I 31 00:01:59,480 --> 00:02:02,600 Speaker 1: don't like cup of think having seen the other parts 32 00:02:02,600 --> 00:02:05,200 Speaker 1: of the world, I know how blessed I am to 33 00:02:05,280 --> 00:02:07,800 Speaker 1: be here, how blessed you are to be here and 34 00:02:08,240 --> 00:02:10,400 Speaker 1: look here. The best way I can describe it to 35 00:02:10,440 --> 00:02:12,760 Speaker 1: you is this. This is a cup of water on 36 00:02:12,880 --> 00:02:15,519 Speaker 1: my life. It's water. It's not Friday, you animal. This 37 00:02:15,600 --> 00:02:18,200 Speaker 1: is water. Do you know how far I had to 38 00:02:18,240 --> 00:02:22,600 Speaker 1: walk to buy or to get this twenty feet and 39 00:02:22,680 --> 00:02:26,560 Speaker 1: I have all the fresh drinking water I could ever have. 40 00:02:27,360 --> 00:02:30,079 Speaker 1: People are going to die around the world because they 41 00:02:30,120 --> 00:02:35,359 Speaker 1: can't find one of these today. If you're here, you're blessed. 42 00:02:35,960 --> 00:02:38,800 Speaker 1: I know I'm blessed. I'm happy to be here. And 43 00:02:38,919 --> 00:02:44,320 Speaker 1: because I'm happy to be here, I root for America always, 44 00:02:45,240 --> 00:02:48,920 Speaker 1: even and that's not Democratic Republican. I root for the 45 00:02:49,000 --> 00:02:52,000 Speaker 1: United States of America. I want America to do good. 46 00:02:52,320 --> 00:02:55,120 Speaker 1: I want America to look good. I want America to 47 00:02:55,200 --> 00:02:58,880 Speaker 1: just charge along and lead the way and be awesome 48 00:02:59,000 --> 00:03:02,600 Speaker 1: at all times. And again, I can do this across 49 00:03:02,720 --> 00:03:06,320 Speaker 1: party lines even when Barack Obama was president. And let 50 00:03:06,400 --> 00:03:11,200 Speaker 1: me clarify, I hate Barack Obama. I hated his America 51 00:03:11,280 --> 00:03:16,960 Speaker 1: hating style. I hated how he politicized everything, especially shootings, 52 00:03:17,040 --> 00:03:21,200 Speaker 1: mass shootings. I thought it was really low class I had. 53 00:03:21,440 --> 00:03:23,639 Speaker 1: I could not stand the guy foreign policy obviously a 54 00:03:23,680 --> 00:03:28,720 Speaker 1: disaster Obama can stand. However, I was always rooting for 55 00:03:28,840 --> 00:03:31,680 Speaker 1: him to do one thing good and tried to find 56 00:03:31,760 --> 00:03:35,920 Speaker 1: when he did. And you remember when North Korea's Kim 57 00:03:35,960 --> 00:03:41,000 Speaker 1: Guy Kim Jong un threatened him. He issued some threat 58 00:03:41,120 --> 00:03:44,160 Speaker 1: kind of like a death threat. I publicly went out 59 00:03:44,560 --> 00:03:48,280 Speaker 1: and blasted him for that, absolutely blasted him for that, 60 00:03:48,840 --> 00:03:52,880 Speaker 1: because look, even though I hate him, Barack Obama's my president. 61 00:03:53,200 --> 00:03:55,440 Speaker 1: You keep your career in mouth shut when you're talking 62 00:03:55,480 --> 00:04:02,000 Speaker 1: about my president. I root for America, said I understand. 63 00:04:02,040 --> 00:04:04,960 Speaker 1: The Senate hearing is just it is what it is. 64 00:04:05,200 --> 00:04:08,200 Speaker 1: ACB is about to be in the Supreme Court. Nothing 65 00:04:08,240 --> 00:04:11,960 Speaker 1: can stop that. Now both sides seem to have accepted that. 66 00:04:12,560 --> 00:04:15,400 Speaker 1: And now they're all just doing there while going through 67 00:04:15,400 --> 00:04:17,360 Speaker 1: the motions things. And I'll throw you a couple more 68 00:04:17,360 --> 00:04:19,600 Speaker 1: clips up of that today so you can see the 69 00:04:20,000 --> 00:04:22,320 Speaker 1: latest updates on it. But they're all just going through 70 00:04:22,360 --> 00:04:26,520 Speaker 1: the motions, right. She's kind of too catholic. That's the 71 00:04:26,560 --> 00:04:29,479 Speaker 1: Democrats Republicans are. Can't you believe this lie in and 72 00:04:29,720 --> 00:04:33,080 Speaker 1: they're doing their fundraising email pitches. Okay, fine, I've accepted it, 73 00:04:33,279 --> 00:04:37,240 Speaker 1: you know I've accepted it. But I'm looking at one 74 00:04:37,360 --> 00:04:43,960 Speaker 1: US senator yesterday, Democrat Maizie Herono, senator from Hawaii, and 75 00:04:44,080 --> 00:04:47,040 Speaker 1: I wasn't outraged. I don't get outraged really anymore. I've 76 00:04:47,040 --> 00:04:49,480 Speaker 1: accepted that most of these people were scum. It's fine, 77 00:04:49,480 --> 00:04:53,320 Speaker 1: that's life. Move on. But I see this is gonna 78 00:04:53,360 --> 00:04:55,880 Speaker 1: sound really mean, and I'm genuinely not being mean here. 79 00:04:56,279 --> 00:04:59,039 Speaker 1: You know what I'm being mean. I'm not being mean here. 80 00:05:00,160 --> 00:05:04,839 Speaker 1: Every time I hear her talk, I get embarrassed for 81 00:05:04,960 --> 00:05:08,440 Speaker 1: the world. I know the world watches when our US 82 00:05:08,520 --> 00:05:11,400 Speaker 1: senators talk, and I know they look at Mazie Horrono 83 00:05:11,520 --> 00:05:14,159 Speaker 1: talk and I know that it's a punchline for them. 84 00:05:15,240 --> 00:05:18,000 Speaker 1: There's no way somebody that dumb can be a United 85 00:05:18,000 --> 00:05:21,680 Speaker 1: States Senator. It makes us all look really bad. I 86 00:05:21,760 --> 00:05:24,520 Speaker 1: have a million Democrat Senators I despise. I have a 87 00:05:24,520 --> 00:05:28,960 Speaker 1: million Republican Senators. I despise Amy klobschar I can't stand 88 00:05:28,960 --> 00:05:35,839 Speaker 1: Amy Klob Elizabeth Warren total feminist nutball. Elizabeth Warren doesn't 89 00:05:35,880 --> 00:05:39,200 Speaker 1: embarrass me as an American. I'm not embarrassed. Okay, she's 90 00:05:39,200 --> 00:05:41,880 Speaker 1: a leftist, insane person got elected to Senate. That's fine, 91 00:05:41,920 --> 00:05:46,479 Speaker 1: she's there. Mazie Herono has the IQ of a pet rock, 92 00:05:47,240 --> 00:05:50,280 Speaker 1: and that lady is a United States Senator. I saw 93 00:05:50,279 --> 00:05:52,680 Speaker 1: this clip yesterday and it wasn't even the accusations and 94 00:05:52,800 --> 00:05:54,640 Speaker 1: what she was saying in it. You can see for 95 00:05:54,720 --> 00:05:59,120 Speaker 1: yourself in a second, it's she's reading it and seems 96 00:05:59,160 --> 00:06:02,160 Speaker 1: to be having a hard time even doing that, And 97 00:06:02,240 --> 00:06:07,560 Speaker 1: it's just this person should have real assistance in the 98 00:06:07,600 --> 00:06:10,640 Speaker 1: real world, and instead this person is a senator in 99 00:06:10,680 --> 00:06:14,440 Speaker 1: the United States of America, and as an American, as 100 00:06:14,520 --> 00:06:17,239 Speaker 1: somebody who loves this country, who roots for this country. 101 00:06:17,720 --> 00:06:21,360 Speaker 1: Every time I hear this woman talk, I am embarrassed. 102 00:06:21,760 --> 00:06:26,919 Speaker 1: Listen to this person, Judge Barrett. Chief Justice John Roberts 103 00:06:26,960 --> 00:06:30,680 Speaker 1: has recognized that, and I quote him, the judicial branch 104 00:06:30,800 --> 00:06:33,400 Speaker 1: is not immune and quote from the widespread problem of 105 00:06:33,520 --> 00:06:37,200 Speaker 1: sexual harassment and assault, and has taken steps to address 106 00:06:37,279 --> 00:06:41,120 Speaker 1: this issue within the judiciary. As part of my responsibility 107 00:06:41,120 --> 00:06:42,920 Speaker 1: as a member of this committee and indeed all of 108 00:06:42,920 --> 00:06:46,039 Speaker 1: the committees on which I sit, to ensure the fitness 109 00:06:46,040 --> 00:06:48,880 Speaker 1: of nominees for a lifetime appointment to the federal bench 110 00:06:49,000 --> 00:06:52,840 Speaker 1: or to any of the other positions for any of 111 00:06:52,839 --> 00:06:56,200 Speaker 1: the committees on which they appear, I ask each nominee 112 00:06:56,520 --> 00:06:58,719 Speaker 1: these two questions, and I will ask them of you 113 00:06:59,480 --> 00:07:02,480 Speaker 1: since you became a legal adult, have you ever made 114 00:07:02,600 --> 00:07:06,839 Speaker 1: unwanted requests for sexual favors or committed any verbal or 115 00:07:06,880 --> 00:07:10,480 Speaker 1: physical harassment or assault of a sexual nature? No, Senator, 116 00:07:11,320 --> 00:07:14,160 Speaker 1: Have you ever faced discipline or entered into a settlement 117 00:07:14,640 --> 00:07:28,000 Speaker 1: related to this kind of conduct? No, Senator, Hawaii, Guys, 118 00:07:28,360 --> 00:07:31,239 Speaker 1: what are we doing? I understand you're blue, very blue. 119 00:07:31,240 --> 00:07:33,680 Speaker 1: I get it. I know you're gonna send a commie 120 00:07:33,720 --> 00:07:38,000 Speaker 1: nutball to DC. Fine, what are we doing? We can't. 121 00:07:38,280 --> 00:07:41,080 Speaker 1: We can't do better than that. Look, send Corey Booker. 122 00:07:41,160 --> 00:07:42,800 Speaker 1: I mean, I'm gonna show you a Corey Booker here 123 00:07:42,800 --> 00:07:45,640 Speaker 1: in a second. I understand Corey Booker is a big meathead. 124 00:07:46,040 --> 00:07:49,200 Speaker 1: He's kind of a punchline. Nobody really takes him seriously. 125 00:07:50,040 --> 00:07:54,800 Speaker 1: But I don't think about France looking at Corey Booker 126 00:07:54,800 --> 00:07:58,320 Speaker 1: and going look at this is America kidding with this. 127 00:07:59,120 --> 00:08:01,440 Speaker 1: That's what they're doing to us with Maizie Herono. You 128 00:08:01,480 --> 00:08:06,800 Speaker 1: realize that, right, other civilized countries, Russia, Russia, our enemy Russia. 129 00:08:06,960 --> 00:08:09,560 Speaker 1: They look probably not putting himself, but he has people 130 00:08:09,560 --> 00:08:11,800 Speaker 1: in his government that'll play him these clips. You know 131 00:08:11,880 --> 00:08:15,480 Speaker 1: that's right, right, But oh, Ladimir, you gotta check this out. Look, 132 00:08:15,760 --> 00:08:18,040 Speaker 1: look at the senator from America. So all my life, 133 00:08:18,040 --> 00:08:19,720 Speaker 1: this is a senator. I swear you can throw me 134 00:08:19,760 --> 00:08:22,000 Speaker 1: another gool like if I'm wrong here, check this out. 135 00:08:22,840 --> 00:08:28,320 Speaker 1: It's embarrassing. I am genuinely embarrassed. Hawaii. Come on, here's 136 00:08:28,360 --> 00:08:32,200 Speaker 1: Corey Booker. You've already spoken towards issues of racism. How 137 00:08:32,240 --> 00:08:34,680 Speaker 1: you deplore it? But I want to just ask you 138 00:08:34,800 --> 00:08:37,080 Speaker 1: very simply, and I imagine he'll give me a very short, 139 00:08:37,160 --> 00:08:46,080 Speaker 1: resolute answer, But you condemn white supremacy, correct, yes, this 140 00:08:46,160 --> 00:08:49,360 Speaker 1: is this is this, This whole thing is so pointless. Honestly, 141 00:08:49,440 --> 00:08:51,120 Speaker 1: I understand they have to have a hearing, you have 142 00:08:51,160 --> 00:08:53,600 Speaker 1: to have the appearance of propriety. But what is that? 143 00:08:54,120 --> 00:08:59,520 Speaker 1: And again let me clarify. Obviously ACB answered the way 144 00:08:59,520 --> 00:09:02,120 Speaker 1: she should answer. She's just trying to check all the 145 00:09:02,160 --> 00:09:05,760 Speaker 1: boxes and get in, so don't ruffle any feathers now. However, 146 00:09:06,360 --> 00:09:09,400 Speaker 1: if you are a Republican at any level running for 147 00:09:09,520 --> 00:09:14,719 Speaker 1: city council, state rep. Governor, mayor congressman, senator, president of 148 00:09:14,760 --> 00:09:17,600 Speaker 1: the United States, or anything in between, and you are 149 00:09:17,679 --> 00:09:21,720 Speaker 1: asked that question, it is your duty as a Republican 150 00:09:22,160 --> 00:09:25,360 Speaker 1: not to answer that question to accuse whoever asks you 151 00:09:25,480 --> 00:09:29,960 Speaker 1: of it of pedophilia. Is that ugly and unfair? You 152 00:09:30,080 --> 00:09:33,800 Speaker 1: bet it is. So is accusing people of white supremacy 153 00:09:34,040 --> 00:09:37,199 Speaker 1: without any grounds whatsoever. You ask me if I'm a 154 00:09:37,240 --> 00:09:40,640 Speaker 1: white supremacist, I will ask you, why don't you denounce pedophilia? 155 00:09:40,760 --> 00:09:43,439 Speaker 1: Are you a pedophile? Are you a supporter of pedophiles? 156 00:09:43,440 --> 00:09:46,720 Speaker 1: How long have you been a pedophile? It is time 157 00:09:46,760 --> 00:09:49,440 Speaker 1: to stop playing this game where you let them define 158 00:09:49,559 --> 00:09:52,640 Speaker 1: you over and over and over again. Denounce it, denounce it. 159 00:09:52,640 --> 00:09:54,679 Speaker 1: Why won't you denounce it? You a nazi? I've heard 160 00:09:54,679 --> 00:09:57,040 Speaker 1: you're a white supremacist. I know you denounced it yesterday, 161 00:09:57,120 --> 00:09:59,720 Speaker 1: but you won't announce it today. Must be a white supremacist. 162 00:10:00,040 --> 00:10:02,520 Speaker 1: That's because they know they have Republicans on their heels 163 00:10:02,520 --> 00:10:05,400 Speaker 1: with that. Get off your heels and start giving it 164 00:10:05,480 --> 00:10:11,160 Speaker 1: back to them. Now. Senator Koran from Texas, I know 165 00:10:11,360 --> 00:10:13,880 Speaker 1: he's in my state. He still sucks, but he had 166 00:10:13,960 --> 00:10:17,360 Speaker 1: this moment yesterday and ACB killed it. You know, most 167 00:10:17,360 --> 00:10:21,040 Speaker 1: of us have multiple notebooks and notes and books and 168 00:10:21,200 --> 00:10:22,920 Speaker 1: things like that in front of us. Can you hold 169 00:10:23,000 --> 00:10:26,120 Speaker 1: up what you've been referring to and answering our questions. 170 00:10:28,400 --> 00:10:31,120 Speaker 1: Is there anything on it that let ahead that says 171 00:10:31,240 --> 00:10:38,160 Speaker 1: United States Senate? That's that's impressive. It is kind of impressive. 172 00:10:38,240 --> 00:10:40,679 Speaker 1: When you sit there for hours on end with all 173 00:10:40,720 --> 00:10:43,960 Speaker 1: these senators and the senators, what happens is, let me 174 00:10:44,000 --> 00:10:46,839 Speaker 1: give you a little feedback, a little tidbit on how 175 00:10:46,880 --> 00:10:48,959 Speaker 1: it actually works. You go back to Washington, d C. 176 00:10:49,120 --> 00:10:51,400 Speaker 1: I ran for Congress twice and lost twice. Not to 177 00:10:51,440 --> 00:10:53,840 Speaker 1: brag or anything, but you go back to DC and 178 00:10:53,880 --> 00:10:56,640 Speaker 1: you meet with people in the House of Representatives, and 179 00:10:56,679 --> 00:10:59,160 Speaker 1: for the most part, somebody in the House of Representatives 180 00:10:59,160 --> 00:11:02,440 Speaker 1: will have a little one, two or three room office 181 00:11:02,520 --> 00:11:07,000 Speaker 1: of some kind, standard office on nothing that fancy, nothing 182 00:11:07,040 --> 00:11:09,880 Speaker 1: that bad. You get up to leadership like Nancy Pelosi, 183 00:11:09,920 --> 00:11:12,080 Speaker 1: they're in a totally different ball game. They have, I 184 00:11:12,080 --> 00:11:16,160 Speaker 1: mean floors, that's different ball game. But a standard congressman has, 185 00:11:16,200 --> 00:11:20,359 Speaker 1: you know, two or three rooms. The standard senator has 186 00:11:21,320 --> 00:11:25,960 Speaker 1: half a floor. They have endless staffers. A United States 187 00:11:25,960 --> 00:11:29,920 Speaker 1: senator has staffers upon staffers upon staffers. And that's why 188 00:11:29,920 --> 00:11:33,680 Speaker 1: they go into these committee meetings with these gigantic binders 189 00:11:33,679 --> 00:11:37,160 Speaker 1: full of things. Don't think for one second any one 190 00:11:37,160 --> 00:11:40,240 Speaker 1: of those people, outside of maybe Ted Cruz prepared his 191 00:11:40,320 --> 00:11:43,840 Speaker 1: own binder. They have staffers prepare for them all this 192 00:11:44,040 --> 00:11:47,120 Speaker 1: research in questions, and they're asking, oh, what about this case. 193 00:11:47,200 --> 00:11:49,840 Speaker 1: I'm nineteen seventy two, and so they have all this 194 00:11:49,960 --> 00:11:53,320 Speaker 1: equipment in front of them. She's just off the top 195 00:11:53,360 --> 00:11:56,600 Speaker 1: of her head rolling it out. I don't know anybody 196 00:11:56,600 --> 00:11:58,240 Speaker 1: who can do that kind of work off the top 197 00:11:58,280 --> 00:12:03,920 Speaker 1: of their head except for maybe me. All right, Senator Harris, 198 00:12:04,080 --> 00:12:06,319 Speaker 1: you knew she had to try to have a campaign moment. 199 00:12:06,360 --> 00:12:11,560 Speaker 1: Here's Kamala jet Barrett. Several times today you have quoted 200 00:12:11,640 --> 00:12:17,839 Speaker 1: Justice Ginsburg's testimony about not making predictions in future cases. However, 201 00:12:18,120 --> 00:12:23,040 Speaker 1: she was far more forthcoming at her confirmation hearing about 202 00:12:23,040 --> 00:12:27,920 Speaker 1: the essential rights of women. My favorite part of that 203 00:12:28,320 --> 00:12:33,839 Speaker 1: was Kamala doing this. However, she was far more forthcoming 204 00:12:34,160 --> 00:12:38,800 Speaker 1: at her Gosh, you can't come up with your own questions. 205 00:12:39,080 --> 00:12:40,640 Speaker 1: You can't come up with your own questions off the 206 00:12:40,679 --> 00:12:44,280 Speaker 1: top of your head. That's so embarrassing. These people. All 207 00:12:44,280 --> 00:12:48,600 Speaker 1: that may have made you uncomfortable, But I'm right now. 208 00:12:49,520 --> 00:12:52,400 Speaker 1: If I see a little pepped up today, Oh, I 209 00:12:52,520 --> 00:12:56,000 Speaker 1: see why, it's because I slept another eight hours last night. 210 00:12:56,040 --> 00:12:59,400 Speaker 1: Are you sleeping eight hours every night? I am every 211 00:12:59,440 --> 00:13:02,160 Speaker 1: single night. I don't take sleeping pills. I don't have 212 00:13:02,200 --> 00:13:06,000 Speaker 1: a new pillow. I have an EBB Sleep. It's not pills. 213 00:13:06,320 --> 00:13:09,199 Speaker 1: I don't put anything in my body. It's a wearable device. 214 00:13:09,600 --> 00:13:12,559 Speaker 1: It calms down the racing thoughts that go through your 215 00:13:12,559 --> 00:13:15,960 Speaker 1: head putting you asleep. Like that in keeping you asleep, 216 00:13:16,120 --> 00:13:20,439 Speaker 1: Go get one. Go to trieb dot com slash jesse, 217 00:13:21,040 --> 00:13:24,800 Speaker 1: that's try ebb dot com slash jesse used to promo 218 00:13:24,800 --> 00:13:28,319 Speaker 1: code Jesse get twenty five bucks off. We'll be bad. 219 00:13:36,160 --> 00:13:38,760 Speaker 1: Trump is back in rally mode, and this is good 220 00:13:38,760 --> 00:13:41,960 Speaker 1: for you if you're voting for Donald Trump. I've explained 221 00:13:42,000 --> 00:13:45,880 Speaker 1: this before. It's important you remember. We all have certain 222 00:13:45,960 --> 00:13:50,240 Speaker 1: things we're good at, certain things we're bad at. I'm 223 00:13:50,240 --> 00:13:53,360 Speaker 1: a specialist at ordering food. If we sit down in 224 00:13:53,440 --> 00:13:56,160 Speaker 1: a restaurant, if you and I, ever, if you're ever 225 00:13:56,240 --> 00:13:59,439 Speaker 1: lucky enough to dine with me, and we sit down 226 00:13:59,480 --> 00:14:02,960 Speaker 1: at a rest drawn and I order something, you don't 227 00:14:03,160 --> 00:14:06,520 Speaker 1: just swallow your pride and order whatever. I am one 228 00:14:06,559 --> 00:14:09,760 Speaker 1: of the top three or four food orders in the world. 229 00:14:10,120 --> 00:14:12,840 Speaker 1: That's what I'm good at. But you want me to 230 00:14:12,840 --> 00:14:16,960 Speaker 1: go to a party on Friday or Saturday night, I'll 231 00:14:17,000 --> 00:14:19,080 Speaker 1: be home if you need to be watching some history 232 00:14:19,160 --> 00:14:22,680 Speaker 1: documentary or something. We all have things we're good at. 233 00:14:23,000 --> 00:14:26,200 Speaker 1: Donald Trump not so good at hunkering down in the 234 00:14:26,240 --> 00:14:30,320 Speaker 1: White House. You saw during the coronavirus lockdown stuff. He 235 00:14:30,400 --> 00:14:33,840 Speaker 1: really sucks at it. He comes undone, he's not doing something. 236 00:14:33,880 --> 00:14:37,880 Speaker 1: He's comfortable with. Donald Trump on the campaign trail much 237 00:14:38,000 --> 00:14:41,840 Speaker 1: much much better, and he's back out there. But think 238 00:14:41,880 --> 00:14:44,400 Speaker 1: of it. You know you're talking about politician no fracking 239 00:14:44,520 --> 00:14:46,480 Speaker 1: for a year and a half, right, and then he 240 00:14:46,480 --> 00:14:49,600 Speaker 1: goes to Pennsylvania says, no, no, they'll be fracking, like 241 00:14:49,760 --> 00:14:53,160 Speaker 1: nothing happened. Can you imagine if I did that, No fracking, 242 00:14:53,280 --> 00:14:55,560 Speaker 1: no fracking, no fracking. I'm the opposite, by the way, 243 00:14:55,600 --> 00:14:58,400 Speaker 1: no fracking, no fracking. Then you win, and you go, 244 00:14:58,600 --> 00:15:01,600 Speaker 1: you know, I gotta go a little to the other direction, 245 00:15:01,600 --> 00:15:03,240 Speaker 1: a little bit to the right, although he actually went 246 00:15:03,320 --> 00:15:05,360 Speaker 1: further left, which is sort of an amazing thing. But 247 00:15:05,440 --> 00:15:07,480 Speaker 1: all of a sudden, you comes out in favor of freking. 248 00:15:08,080 --> 00:15:09,680 Speaker 1: And let me tell you, it's always the first thing 249 00:15:09,760 --> 00:15:12,640 Speaker 1: that turns out to be true. Okay, they will lose. 250 00:15:12,760 --> 00:15:15,640 Speaker 1: You will lose in Pennsylvania a million jobs. There will 251 00:15:15,680 --> 00:15:19,360 Speaker 1: be no petroleum products, there will be no fracking whatsoever. 252 00:15:20,080 --> 00:15:22,080 Speaker 1: And did you see his party now is really angry 253 00:15:22,120 --> 00:15:24,680 Speaker 1: at him because he's saying, maybe they'll be fracking. It's 254 00:15:24,680 --> 00:15:27,520 Speaker 1: a very conditional, you know, it's a very weak. But 255 00:15:27,720 --> 00:15:33,600 Speaker 1: with me, you're gonna freck. Donald Trump very very smart 256 00:15:33,640 --> 00:15:37,640 Speaker 1: to highlight this because we like to think we decide 257 00:15:37,640 --> 00:15:41,480 Speaker 1: the election, don't we, You do I do. I'm up here, 258 00:15:41,640 --> 00:15:47,680 Speaker 1: I'm fighting for liberty or not you probably don't decide 259 00:15:47,720 --> 00:15:54,000 Speaker 1: the election. I don't decide the election. Voters in Pennsylvania, Ohio, Florida, 260 00:15:54,160 --> 00:15:58,280 Speaker 1: North Carolina, Wisconsin, Michigan. I actually missed my finger on 261 00:15:58,280 --> 00:16:00,440 Speaker 1: that one. I don't know if you saw that. They 262 00:16:00,480 --> 00:16:04,200 Speaker 1: decide the election. Voters who voted for Barack Obama twice 263 00:16:04,320 --> 00:16:07,280 Speaker 1: and then turn around and voted for Donald Trump. They 264 00:16:07,280 --> 00:16:09,760 Speaker 1: decide the election. It's only down to a few states. 265 00:16:10,360 --> 00:16:14,640 Speaker 1: Gotta have Pennsylvania, and it is beyond belief to me. 266 00:16:14,680 --> 00:16:16,520 Speaker 1: It's one of the reasons I think Trump's going to win. 267 00:16:16,720 --> 00:16:20,200 Speaker 1: It's beyond belief to me Pennsylvanians would vote for a 268 00:16:20,240 --> 00:16:23,760 Speaker 1: guy who has said on camera repeatedly that he's going 269 00:16:23,800 --> 00:16:26,800 Speaker 1: to ban bracking. Granted, he's a Democrat, so he can 270 00:16:26,800 --> 00:16:29,120 Speaker 1: switch directions now and never get called out on it. 271 00:16:29,160 --> 00:16:35,200 Speaker 1: But yeah, and plus we have those suburban moms. Trump 272 00:16:35,240 --> 00:16:39,120 Speaker 1: has resorted to begging, So can I ask you to 273 00:16:39,160 --> 00:16:42,440 Speaker 1: do me a favor? Suburban women? Would you please like me? 274 00:16:47,400 --> 00:16:50,840 Speaker 1: I saved your damn neighborhood. Okay, the other thing, I 275 00:16:50,840 --> 00:16:52,800 Speaker 1: don't have that much time to be that nice. You know, 276 00:16:52,840 --> 00:16:55,200 Speaker 1: I can do it, but I gotta go quickly. We 277 00:16:55,280 --> 00:16:58,320 Speaker 1: don't have time. They want me to be politically correct. Yes, 278 00:16:58,480 --> 00:17:00,840 Speaker 1: let's discuss it. Let's talk about it over the next 279 00:17:00,880 --> 00:17:04,639 Speaker 1: ten years. No, no, no, Now, we saved your We 280 00:17:04,720 --> 00:17:11,760 Speaker 1: saved suburbia in the US. True. You like that safe 281 00:17:11,800 --> 00:17:14,560 Speaker 1: neighborhood you're in. You want it to stay that way? 282 00:17:15,520 --> 00:17:22,240 Speaker 1: All right now, speaking of safe your money. You work 283 00:17:22,320 --> 00:17:24,920 Speaker 1: hard for your money. I know you do. And if 284 00:17:24,920 --> 00:17:28,119 Speaker 1: you're one of these people who sets money aside because 285 00:17:28,160 --> 00:17:30,240 Speaker 1: you're hoping to retire one day or maybe just for 286 00:17:30,359 --> 00:17:36,159 Speaker 1: a rainy day, that's awesome. Keep doing that. However, don't 287 00:17:36,280 --> 00:17:41,240 Speaker 1: have all your money in stocks and bonds. That's insane, 288 00:17:41,640 --> 00:17:45,480 Speaker 1: especially the way they're spending money now in printing money. 289 00:17:45,720 --> 00:17:49,480 Speaker 1: And we are just look, we are one big, unpredictable 290 00:17:49,520 --> 00:17:54,600 Speaker 1: event away from a real, real problem. Make sure you 291 00:17:54,680 --> 00:17:57,920 Speaker 1: have a gold Ira, not only gold iras. You've never 292 00:17:57,960 --> 00:18:00,560 Speaker 1: heard me say that you need a goal old Ira 293 00:18:00,800 --> 00:18:03,119 Speaker 1: from gold Alliance. You need to have it as part 294 00:18:03,160 --> 00:18:06,200 Speaker 1: of your portfolio. And gold Alliance has an A plus 295 00:18:06,320 --> 00:18:09,600 Speaker 1: rating with a Better Business Bureau. They make it completely easy. 296 00:18:10,200 --> 00:18:13,960 Speaker 1: We're talking no tax penalties here. Just get a hoard 297 00:18:13,960 --> 00:18:17,680 Speaker 1: of them. Gold Alliance dot com slash Jesse that's gold 298 00:18:17,720 --> 00:18:27,240 Speaker 1: Alliance dot com slash Jesse We'll be back joining me now, 299 00:18:27,359 --> 00:18:30,480 Speaker 1: host of This is My Show with Drew burkewist. Drew 300 00:18:33,160 --> 00:18:35,119 Speaker 1: I said at the beginning, and I really mean this, 301 00:18:35,960 --> 00:18:37,920 Speaker 1: I'm not actually trying to be mean. For the first 302 00:18:37,960 --> 00:18:42,840 Speaker 1: time ever, I'm genuinely not Maizie Horrono should not be 303 00:18:42,880 --> 00:18:45,919 Speaker 1: a United States Senator. It's embarrassing to me, as an 304 00:18:45,920 --> 00:18:48,440 Speaker 1: American who loves my country that that person is a 305 00:18:48,560 --> 00:18:51,560 Speaker 1: United States senator, even senators I hate, like Warren and 306 00:18:51,600 --> 00:18:54,560 Speaker 1: Booker and so many Republicans. I'm not embarrassed on the 307 00:18:54,560 --> 00:18:57,720 Speaker 1: world stage by I'm there just clowns that Mazie Horrono 308 00:18:57,800 --> 00:19:02,240 Speaker 1: as a senator makes our entire country look back. I 309 00:19:02,240 --> 00:19:06,280 Speaker 1: couldn't agree more. I absolutely couldn't agree more. She's a 310 00:19:06,359 --> 00:19:10,160 Speaker 1: disgrace to the US Senate. She's a disgrace to herself, 311 00:19:10,200 --> 00:19:13,560 Speaker 1: to our country. She's a disaster. I mean the questions 312 00:19:13,640 --> 00:19:16,399 Speaker 1: and the tone in which she's asked, the questions, everything 313 00:19:16,400 --> 00:19:18,400 Speaker 1: about it. It's like, can someone like you'd think even 314 00:19:18,440 --> 00:19:20,800 Speaker 1: Democrats would be like, you need to probably shut your mouth, 315 00:19:20,880 --> 00:19:23,119 Speaker 1: like it's best if you just someone give her a 316 00:19:23,119 --> 00:19:26,119 Speaker 1: coloring book. You know, some sliced apples and like a 317 00:19:26,200 --> 00:19:28,840 Speaker 1: cup of juice and just go do whatever you do 318 00:19:28,880 --> 00:19:32,440 Speaker 1: over there. But she's awful, You're spot on. How does 319 00:19:32,480 --> 00:19:35,080 Speaker 1: that happen? I want you to break this down for me, 320 00:19:35,160 --> 00:19:37,680 Speaker 1: break it down for the viewers. On a state level, 321 00:19:37,720 --> 00:19:40,240 Speaker 1: I understand Hawaii is going to be rapidly blue. I 322 00:19:40,240 --> 00:19:42,720 Speaker 1: don't accept them to appoint the next rot or elect 323 00:19:42,720 --> 00:19:44,760 Speaker 1: the next Ronald Reagan to the Senate out of there, 324 00:19:45,119 --> 00:19:48,800 Speaker 1: But how does somebody like that emerge as a United 325 00:19:48,800 --> 00:19:51,320 Speaker 1: States Senator? A United States Senator is a big, big deal. 326 00:19:51,359 --> 00:19:54,560 Speaker 1: There's only a hundred of them. How does it happen? Yeah? 327 00:19:54,640 --> 00:19:56,840 Speaker 1: I don't know either, because you kind of get it 328 00:19:56,840 --> 00:19:59,399 Speaker 1: with some of these long standing officials, and you know 329 00:19:59,560 --> 00:20:01,280 Speaker 1: with the plo Seas of the world, who's obviously not 330 00:20:01,320 --> 00:20:04,080 Speaker 1: in the Senate. But the schumers, the people who have 331 00:20:04,160 --> 00:20:06,000 Speaker 1: been around fine steam, I mean fine scenes like four 332 00:20:06,080 --> 00:20:09,400 Speaker 1: hundred years old. Like these people understand the game, they 333 00:20:09,480 --> 00:20:11,879 Speaker 1: understand how to play it. They've got big money behind it, 334 00:20:11,920 --> 00:20:14,520 Speaker 1: they've got they've got the system more or less rigged. 335 00:20:14,600 --> 00:20:17,040 Speaker 1: And they come from states that are blue, so it's 336 00:20:17,080 --> 00:20:20,040 Speaker 1: all set up in their favor. But they also have 337 00:20:20,080 --> 00:20:21,800 Speaker 1: some you know, they have to start somewhere, but they 338 00:20:21,800 --> 00:20:23,439 Speaker 1: have some experience and they have something to bring to 339 00:20:23,480 --> 00:20:26,200 Speaker 1: their party. I don't know what, but they but they do. 340 00:20:26,280 --> 00:20:28,240 Speaker 1: The party seems to like them. They keep coming back. 341 00:20:28,520 --> 00:20:31,600 Speaker 1: But then there's some of these outliers like Corono, who, 342 00:20:31,640 --> 00:20:35,000 Speaker 1: to your point, somehow, when there's only two of these 343 00:20:35,000 --> 00:20:38,439 Speaker 1: seats per per state, they come and win it and 344 00:20:38,480 --> 00:20:41,240 Speaker 1: they literally have zero to off. I mean there's so many. 345 00:20:41,240 --> 00:20:44,000 Speaker 1: I have four children, all of them could do a 346 00:20:44,040 --> 00:20:47,800 Speaker 1: better job, and they're all under ten. But but it's 347 00:20:47,800 --> 00:20:49,639 Speaker 1: it's remarkable. But I don't have a good answer for 348 00:20:49,680 --> 00:20:53,600 Speaker 1: you because I don't know Drew full disclosure. I have 349 00:20:53,840 --> 00:20:56,800 Speaker 1: moments like when I whenever I hear Amazie Corono talking. Look, 350 00:20:56,840 --> 00:20:58,600 Speaker 1: I can admit this. I love America. I love our 351 00:20:58,600 --> 00:21:01,520 Speaker 1: American system here. I do have my moments where I 352 00:21:01,640 --> 00:21:04,800 Speaker 1: genuinely wonder if a monarchy isn't just a better system 353 00:21:04,840 --> 00:21:07,000 Speaker 1: of government. And I'm not actually being globe I'm not 354 00:21:07,160 --> 00:21:10,560 Speaker 1: I'm not being sarcastic when I look at the people 355 00:21:11,040 --> 00:21:14,200 Speaker 1: that the voters choose. I like having the freedom of choice, 356 00:21:14,240 --> 00:21:17,320 Speaker 1: I do, but I genuinely think, you know what, we 357 00:21:17,359 --> 00:21:19,280 Speaker 1: can't do this. We can't do this. We're better off 358 00:21:19,280 --> 00:21:22,760 Speaker 1: just passing it down from father to son. Yeah. Yeah, Well, 359 00:21:22,800 --> 00:21:24,920 Speaker 1: when you see what's happening in twenty twenty, you see 360 00:21:24,960 --> 00:21:27,359 Speaker 1: people like her, you see you see just all of 361 00:21:27,800 --> 00:21:30,960 Speaker 1: what's you know on display before us. I think you're 362 00:21:31,040 --> 00:21:33,320 Speaker 1: right to have those questions. It's like we can't be 363 00:21:33,320 --> 00:21:36,199 Speaker 1: trusted as an American people anymore to vote and to 364 00:21:36,359 --> 00:21:39,640 Speaker 1: make good decisions. We just can't. Like we're not We're 365 00:21:39,640 --> 00:21:42,200 Speaker 1: not on that level anymore. It's time to change the system. 366 00:21:42,200 --> 00:21:43,800 Speaker 1: I don't know the answer. Maybe it is monarchy. I 367 00:21:43,840 --> 00:21:46,040 Speaker 1: don't know what the answer is, but it's certainly not 368 00:21:46,080 --> 00:21:51,880 Speaker 1: what we're doing. Drew, Trump and Biden give me a 369 00:21:51,920 --> 00:21:54,040 Speaker 1: state of the race. I'll tell you full of school. 370 00:21:54,119 --> 00:21:56,320 Speaker 1: I told this yesterday. I said this yesterday on the show. 371 00:21:57,119 --> 00:21:59,440 Speaker 1: I know there are things stacked up against Trump. I 372 00:21:59,480 --> 00:22:02,040 Speaker 1: see the poor numbers, I see all this, But I 373 00:22:02,080 --> 00:22:05,920 Speaker 1: can't foresee Joe Biden as bad as he is, being 374 00:22:06,000 --> 00:22:08,320 Speaker 1: the one to unseen him. It just doesn't I mean, 375 00:22:08,359 --> 00:22:10,560 Speaker 1: at a macro level, it doesn't make sense to me. 376 00:22:10,720 --> 00:22:14,760 Speaker 1: Can you can you see it? No? I don't, I 377 00:22:15,000 --> 00:22:16,919 Speaker 1: don't see it. I think the polls are used to 378 00:22:16,920 --> 00:22:20,320 Speaker 1: demoralize and kind of control the national narrative, which we 379 00:22:20,440 --> 00:22:22,400 Speaker 1: saw in twenty sixteen. We've seen time and time again 380 00:22:22,400 --> 00:22:24,680 Speaker 1: with lots of different polls. I think that the outlier, 381 00:22:24,760 --> 00:22:27,920 Speaker 1: kind of fringe poles speak a lot more clearly about 382 00:22:27,960 --> 00:22:30,440 Speaker 1: what's going on. I think that there is a is 383 00:22:30,480 --> 00:22:33,120 Speaker 1: a pretty big gap between the two. But look, Biden 384 00:22:33,240 --> 00:22:35,479 Speaker 1: is not a good candidate. The Democrats know that Biden 385 00:22:35,560 --> 00:22:38,119 Speaker 1: knows that the days that he knows who he is, 386 00:22:38,160 --> 00:22:42,240 Speaker 1: but they understand this is not the winning strategy. They 387 00:22:42,320 --> 00:22:44,840 Speaker 1: understand they're not actually up in the real polls. I think, 388 00:22:45,200 --> 00:22:48,639 Speaker 1: you know, even though it's not scientific or official to Telemundo, 389 00:22:48,720 --> 00:22:51,399 Speaker 1: poll is really telling and positive for Trump. The polls 390 00:22:51,440 --> 00:22:53,520 Speaker 1: talking about how people are scared to death to share 391 00:22:53,520 --> 00:22:57,439 Speaker 1: their political beliefs and values, those are all Trump support, 392 00:22:57,440 --> 00:22:58,920 Speaker 1: They're not. Those are not people who are scared to 393 00:22:58,960 --> 00:23:02,000 Speaker 1: say they support Biden. You know that's so. I think 394 00:23:02,040 --> 00:23:04,879 Speaker 1: that those types of things, you know, the poll the 395 00:23:04,880 --> 00:23:08,120 Speaker 1: fifty six percent think that people are better off under 396 00:23:08,320 --> 00:23:11,119 Speaker 1: Trump's first term than Obama en bides. Those are the 397 00:23:11,200 --> 00:23:12,879 Speaker 1: kind of polls that I think that we need to 398 00:23:12,920 --> 00:23:16,760 Speaker 1: pay attention to and and these other ones don't really matter. 399 00:23:16,800 --> 00:23:19,120 Speaker 1: So I think that Trump is actually doing really well. 400 00:23:19,160 --> 00:23:21,720 Speaker 1: There are areas of concern, and the biggest of which 401 00:23:21,800 --> 00:23:23,960 Speaker 1: is is how the Democrats are going to try and 402 00:23:24,000 --> 00:23:25,439 Speaker 1: figure out how to come up with the votes that 403 00:23:25,480 --> 00:23:27,600 Speaker 1: they're behind on, because I do think that there's going 404 00:23:27,680 --> 00:23:29,280 Speaker 1: to be lots of stuff that happens. This is going 405 00:23:29,320 --> 00:23:30,920 Speaker 1: to be an area where it's not just going to 406 00:23:31,000 --> 00:23:34,320 Speaker 1: be a clear cut decision that night, because they're not 407 00:23:34,359 --> 00:23:37,200 Speaker 1: gonna let it like they've got their victory speech planned. 408 00:23:37,440 --> 00:23:39,439 Speaker 1: They do not plan to concede, and I don't know 409 00:23:39,480 --> 00:23:41,280 Speaker 1: where that leaves us. But I do think Trump, in 410 00:23:41,359 --> 00:23:44,040 Speaker 1: terms of just looking at the electoral college, looking at 411 00:23:44,119 --> 00:23:46,760 Speaker 1: how this will break down, is in good shape. It's 412 00:23:46,800 --> 00:23:50,280 Speaker 1: just like how you stop the Shenanigans. How much voter 413 00:23:50,359 --> 00:23:52,280 Speaker 1: fraud is real, because look, you and I have made 414 00:23:52,320 --> 00:23:54,840 Speaker 1: a thousand jokes about this, and other people do too, 415 00:23:54,880 --> 00:23:57,760 Speaker 1: about their dead grandma's voting Democrat and things. Look, I 416 00:23:57,840 --> 00:24:00,639 Speaker 1: understand that, but we are getting our go after an 417 00:24:00,720 --> 00:24:04,040 Speaker 1: article now of their discovering ballots here, torn up Trump 418 00:24:04,080 --> 00:24:08,280 Speaker 1: ballots there, new Democrat ballots found here. Knew this, knew that. 419 00:24:09,080 --> 00:24:12,040 Speaker 1: I'll tell you man, I'm nervous. These do not seem 420 00:24:12,080 --> 00:24:13,600 Speaker 1: like the type of people who are going to back 421 00:24:13,680 --> 00:24:16,840 Speaker 1: off of something like that. Should we be worried, I 422 00:24:16,880 --> 00:24:19,440 Speaker 1: think we totally should be. I mean, I'll be honest 423 00:24:19,480 --> 00:24:22,119 Speaker 1: with you, is it's gotten closer. I've felt better and 424 00:24:22,200 --> 00:24:24,560 Speaker 1: better about kind of like I was just saying, how 425 00:24:24,600 --> 00:24:27,600 Speaker 1: Trump is performing in terms of the head to head comparison, 426 00:24:28,240 --> 00:24:31,800 Speaker 1: there is no comparison, but they are. They are so 427 00:24:31,880 --> 00:24:34,960 Speaker 1: emboldened and things keep blowing up in their face. But 428 00:24:35,040 --> 00:24:38,200 Speaker 1: Democrats have gotten so dumb and they're so persistent, which 429 00:24:38,200 --> 00:24:40,520 Speaker 1: I'll give them credit for that, that they keep pushing 430 00:24:40,520 --> 00:24:44,040 Speaker 1: ahead with all these plans, and they are they don't 431 00:24:44,080 --> 00:24:46,159 Speaker 1: plan on conceiting. They plan on coming up with a 432 00:24:46,200 --> 00:24:49,040 Speaker 1: way to ensure they win this election. And I think 433 00:24:49,080 --> 00:24:50,879 Speaker 1: that we're going to see that unfold right before us, 434 00:24:50,880 --> 00:24:53,520 Speaker 1: because to your point, we see time and time again 435 00:24:53,560 --> 00:24:56,959 Speaker 1: all these different stories that are happening that are not conspiracy. 436 00:24:56,960 --> 00:24:59,520 Speaker 1: They are they are literally happening. There are news reports 437 00:24:59,560 --> 00:25:01,639 Speaker 1: they I have already occurred, and there's more that we 438 00:25:01,640 --> 00:25:04,640 Speaker 1: don't even know about happening. So I think they are desperate. 439 00:25:04,640 --> 00:25:07,800 Speaker 1: Desperate people do stupid things, and I think We're going 440 00:25:07,840 --> 00:25:09,680 Speaker 1: to see some really stupid things in a couple of 441 00:25:09,720 --> 00:25:13,399 Speaker 1: weeks here. That's going to create a ripple effect of 442 00:25:13,720 --> 00:25:16,400 Speaker 1: loads of other problems that I don't know that we're 443 00:25:16,400 --> 00:25:18,560 Speaker 1: all ready to handle and discuss, because I think can 444 00:25:19,600 --> 00:25:23,520 Speaker 1: get pretty bad. Drew, I don't. I don't. I certainly 445 00:25:23,520 --> 00:25:25,240 Speaker 1: don't want to get the cart before the horse here. 446 00:25:25,840 --> 00:25:30,119 Speaker 1: But you can easily foresee a scenario where Joe Biden loses. Okay, 447 00:25:30,119 --> 00:25:33,639 Speaker 1: you're the Democrats. Now let's say we keep the Senate, 448 00:25:33,760 --> 00:25:35,720 Speaker 1: maybe they keep the House. We'll give them the House. 449 00:25:36,520 --> 00:25:38,960 Speaker 1: Now we have Donald Trump as a second term, we 450 00:25:39,080 --> 00:25:41,320 Speaker 1: have the Senate and a six three majority on the 451 00:25:41,320 --> 00:25:44,359 Speaker 1: Supreme Court that for any party, if any party was 452 00:25:44,400 --> 00:25:46,840 Speaker 1: on the other side of that, you'd be looking around 453 00:25:46,840 --> 00:25:49,800 Speaker 1: and saying, man, we are wiped out. That would be 454 00:25:49,840 --> 00:25:52,880 Speaker 1: a complete wipe out for them. Do you think there's 455 00:25:52,920 --> 00:25:56,600 Speaker 1: a chance they self assess? And I know everybody likes 456 00:25:56,600 --> 00:25:58,480 Speaker 1: to say though, these people can never do that. There 457 00:25:58,480 --> 00:26:00,800 Speaker 1: insane And I would agree there and say, but after 458 00:26:01,080 --> 00:26:06,280 Speaker 1: enough pain, doesn't everybody self assessed at some point? Yeah, 459 00:26:06,280 --> 00:26:08,959 Speaker 1: I mean you would think so. I would hope, So, 460 00:26:09,280 --> 00:26:11,080 Speaker 1: you know, I always hope for the best in people 461 00:26:11,160 --> 00:26:14,439 Speaker 1: like it's it's getting harder and harder as as I 462 00:26:14,480 --> 00:26:17,800 Speaker 1: get older, as the years get crazier, Like the stuff 463 00:26:17,800 --> 00:26:19,080 Speaker 1: we're seeing now, It's like, all right, I don't I 464 00:26:19,080 --> 00:26:20,920 Speaker 1: really don't know if I have any hope left, but 465 00:26:20,920 --> 00:26:22,920 Speaker 1: but I want to. I want I want the best 466 00:26:22,960 --> 00:26:25,040 Speaker 1: for this country. I want the best for for for 467 00:26:25,240 --> 00:26:27,560 Speaker 1: both sides, because it would be a lot nicer if 468 00:26:27,560 --> 00:26:29,600 Speaker 1: we didn't have to worry about like, what's this look like? 469 00:26:29,640 --> 00:26:32,360 Speaker 1: Are we going to have a mask? You know, unrest 470 00:26:32,400 --> 00:26:34,960 Speaker 1: and all sorts of stuff that that happens after the election. 471 00:26:35,320 --> 00:26:37,280 Speaker 1: No one really wants that, even the people who are 472 00:26:37,320 --> 00:26:39,400 Speaker 1: talking tough on Twitter and so, like, you don't really 473 00:26:39,400 --> 00:26:41,760 Speaker 1: want that. If you've seen that stuff firsthand in real life, 474 00:26:41,920 --> 00:26:44,280 Speaker 1: you should know you don't want that for our country. 475 00:26:44,320 --> 00:26:47,119 Speaker 1: But but I don't know that they're capable of it. 476 00:26:47,200 --> 00:26:48,919 Speaker 1: Like you would think you would think they would have 477 00:26:48,920 --> 00:26:51,520 Speaker 1: done that after twenty sixteen. You would think that, you know, 478 00:26:51,640 --> 00:26:54,439 Speaker 1: they would have learned over the different smear campaigns and 479 00:26:54,520 --> 00:26:57,959 Speaker 1: tactics that they've used up until this date, you know, 480 00:26:58,000 --> 00:27:00,959 Speaker 1: after Trump was inaugurated, But they keep coming back to 481 00:27:01,000 --> 00:27:04,880 Speaker 1: the to the hoop with the same plan um. So 482 00:27:04,960 --> 00:27:07,200 Speaker 1: I don't know. Yeah, I mean at a certain point. 483 00:27:07,359 --> 00:27:10,080 Speaker 1: Only here here's the good news and the bad news. 484 00:27:10,280 --> 00:27:12,160 Speaker 1: The good news is a lot of these people who 485 00:27:12,320 --> 00:27:15,840 Speaker 1: endorse and promote these plans, the Pelosi, Schumer's, Maxine Waters 486 00:27:15,400 --> 00:27:18,119 Speaker 1: Finstein might actually be dead. She might. I think this 487 00:27:18,200 --> 00:27:20,200 Speaker 1: is like a weekend if Bernie thing happening too. But 488 00:27:20,760 --> 00:27:23,359 Speaker 1: they're they're on their way out. The bad news to 489 00:27:23,440 --> 00:27:26,320 Speaker 1: that scenario is the people who are coming up. You 490 00:27:26,400 --> 00:27:31,320 Speaker 1: know you asked about Herona earlier in the House. How 491 00:27:31,680 --> 00:27:36,080 Speaker 1: you get these squad members elected is ridiculous, and they 492 00:27:36,080 --> 00:27:38,320 Speaker 1: are loud and they are there. They make an impact 493 00:27:38,359 --> 00:27:41,359 Speaker 1: in that party. So I don't think there's self assessment. 494 00:27:41,400 --> 00:27:43,280 Speaker 1: I think they're just going to keep trying harder and 495 00:27:43,359 --> 00:27:46,240 Speaker 1: trying more different things until they get their end game 496 00:27:46,280 --> 00:27:48,920 Speaker 1: and we've just got to push harder and harder back 497 00:27:48,960 --> 00:27:51,359 Speaker 1: against it. The good news with all of that, too 498 00:27:51,480 --> 00:27:52,879 Speaker 1: is I think it is waking up a lot of 499 00:27:52,920 --> 00:27:54,760 Speaker 1: Americans who before like I'm just going to sit back 500 00:27:54,800 --> 00:27:57,119 Speaker 1: and see what happens. Now they see that the stakes 501 00:27:57,119 --> 00:27:59,280 Speaker 1: are high, and people are like, oh no, no, no, 502 00:27:59,600 --> 00:28:02,680 Speaker 1: this is not happening, not in my America, And hopefully 503 00:28:02,880 --> 00:28:05,800 Speaker 1: we can save this off a little bit longer. How 504 00:28:05,880 --> 00:28:08,560 Speaker 1: unified is the GOP? I know, when you get on 505 00:28:08,600 --> 00:28:11,880 Speaker 1: social media, you feel like there's this huge GOP divide 506 00:28:11,960 --> 00:28:14,679 Speaker 1: because half the Goop pundit pundits are just you know, 507 00:28:15,080 --> 00:28:18,000 Speaker 1: crazy never Trump types. But then we saw last election 508 00:28:18,160 --> 00:28:21,320 Speaker 1: they all came home virtually everybody that that whole anti 509 00:28:21,400 --> 00:28:24,520 Speaker 1: Trump GOP section is so miniscule it doesn't matter at all. 510 00:28:24,960 --> 00:28:28,480 Speaker 1: How unified is the GOOP. I think we're pretty darn unified. 511 00:28:28,480 --> 00:28:31,280 Speaker 1: I don't think we're anywhere near is fractured as the Democrat. 512 00:28:31,359 --> 00:28:33,160 Speaker 1: I think the Democrat Party, and it's not just because 513 00:28:33,160 --> 00:28:35,040 Speaker 1: I don't like them. I think they truly are a 514 00:28:35,080 --> 00:28:37,960 Speaker 1: mess between you know, the far far left radical, the 515 00:28:38,160 --> 00:28:40,160 Speaker 1: a little bit more progressive, and then and then the 516 00:28:40,200 --> 00:28:42,200 Speaker 1: few establishment people that are left. But I think they 517 00:28:42,240 --> 00:28:44,400 Speaker 1: are in tatters. They're they're in a rough spot. You 518 00:28:44,600 --> 00:28:46,080 Speaker 1: look at the pole. I think it was ninety four 519 00:28:46,120 --> 00:28:49,240 Speaker 1: percent in the primary right for Trump. You know, since 520 00:28:49,840 --> 00:28:52,840 Speaker 1: since eighty eight, that has been a huge indicator for 521 00:28:52,880 --> 00:28:55,800 Speaker 1: incumbents of of positive results in the election. Ninety four 522 00:28:55,840 --> 00:28:58,040 Speaker 1: percent is a high number. That's a huge number. I think, 523 00:28:58,320 --> 00:29:01,000 Speaker 1: you know, the mitt romneys of the world. People like 524 00:29:01,080 --> 00:29:04,479 Speaker 1: that are are outliers. They're not the voice of the party. 525 00:29:04,840 --> 00:29:07,400 Speaker 1: You know, John Kaysick and then whatever like John Kaysick 526 00:29:07,400 --> 00:29:09,760 Speaker 1: doesn't even like John Kaysick. So, like, you look at 527 00:29:09,760 --> 00:29:12,520 Speaker 1: this small number of people and it's just it's not 528 00:29:12,600 --> 00:29:15,040 Speaker 1: representative of who the GOP is. I think that they've 529 00:29:15,080 --> 00:29:17,600 Speaker 1: really gotten behind Trump. And I think also too this 530 00:29:17,720 --> 00:29:20,960 Speaker 1: election because it's been it's become so much pro America, 531 00:29:21,120 --> 00:29:24,440 Speaker 1: law and order, traditional values, you know, whether it's you know, 532 00:29:24,520 --> 00:29:28,040 Speaker 1: spiritual values, Second Amendment, what have you. It's really that 533 00:29:28,480 --> 00:29:31,400 Speaker 1: versus this progressive radical who knows exactly how far it 534 00:29:31,400 --> 00:29:33,280 Speaker 1: will go. But it's crazy and scary no matter what. 535 00:29:33,520 --> 00:29:36,640 Speaker 1: So you know that that's any conservative who is on 536 00:29:36,640 --> 00:29:38,400 Speaker 1: the fence about whether they like Trump or not, that's 537 00:29:38,400 --> 00:29:40,040 Speaker 1: going to bring them right back to him, because it 538 00:29:40,040 --> 00:29:42,360 Speaker 1: comes down to again, you're not voting for Trump, You're 539 00:29:42,400 --> 00:29:47,200 Speaker 1: voting for America. Drew Burkewis, thank you, my friend, thanks 540 00:29:47,200 --> 00:29:53,400 Speaker 1: for having me. Your home title is not a piece 541 00:29:53,480 --> 00:29:56,680 Speaker 1: of paper. I need to clarify that for you. Your 542 00:29:56,760 --> 00:30:01,680 Speaker 1: home title is digital. It exists online, It's in the cloud. 543 00:30:02,200 --> 00:30:04,640 Speaker 1: Do you know how easy it is for these cyber 544 00:30:04,720 --> 00:30:08,520 Speaker 1: thieves to hack into clouds. It's all they do. It's 545 00:30:08,600 --> 00:30:11,960 Speaker 1: their occupation, that job you go to for eight hours 546 00:30:11,960 --> 00:30:15,680 Speaker 1: a day. While you're doing that, they're doing cyber theft. 547 00:30:16,200 --> 00:30:19,120 Speaker 1: It's cake for them. They did it to me. It 548 00:30:19,160 --> 00:30:22,520 Speaker 1: took them less than ten minutes to hack into my 549 00:30:22,640 --> 00:30:26,720 Speaker 1: home title forge my signature and my wife's signature on it. 550 00:30:27,560 --> 00:30:29,240 Speaker 1: And then all they have to do is go down 551 00:30:29,240 --> 00:30:31,200 Speaker 1: to a lender and take out a loan against it. 552 00:30:31,400 --> 00:30:33,800 Speaker 1: And I'm on the hook for that money. And the 553 00:30:33,840 --> 00:30:36,040 Speaker 1: only way you can stop them as home title lock, 554 00:30:36,520 --> 00:30:41,840 Speaker 1: home title lock will stop that tampering immediately. Go to 555 00:30:41,960 --> 00:30:45,520 Speaker 1: hometitlelock dot com. That's home titlelock dot com. Use the 556 00:30:45,560 --> 00:30:49,440 Speaker 1: code radio that actually gets you thirty days of free protection. 557 00:30:50,080 --> 00:30:59,720 Speaker 1: We'll be back joining me now, friend of mine, Chucked 558 00:31:00,160 --> 00:31:05,560 Speaker 1: or he's a former National Republican not National Republican assemblymen, 559 00:31:05,720 --> 00:31:08,120 Speaker 1: what do you California people call yourself when you sit 560 00:31:08,160 --> 00:31:10,320 Speaker 1: in the House of Representatives up there. I can't take 561 00:31:10,360 --> 00:31:12,880 Speaker 1: care of it anyway. He's now in Texas, by the 562 00:31:12,880 --> 00:31:15,320 Speaker 1: grace of God, and he works for the Texas Public 563 00:31:15,360 --> 00:31:19,120 Speaker 1: Policy Foundation, which, grace of God, we have them. Chuck, 564 00:31:19,320 --> 00:31:23,280 Speaker 1: what do you, what do you people call yourselves in California? Again, well, 565 00:31:23,400 --> 00:31:30,120 Speaker 1: usually ignored is what we call ourselves. You know what, 566 00:31:30,280 --> 00:31:33,000 Speaker 1: let's let's start there. I think a lot of people, 567 00:31:33,120 --> 00:31:36,200 Speaker 1: especially in Texas, I'm sure you've experienced this, they hear 568 00:31:36,200 --> 00:31:39,840 Speaker 1: the words California or Californian and they automatically roll their 569 00:31:39,840 --> 00:31:43,000 Speaker 1: eyes and assume that most of the state is just 570 00:31:43,240 --> 00:31:46,560 Speaker 1: deep blue and it's just sea of communism out there. 571 00:31:46,920 --> 00:31:50,200 Speaker 1: I think people do not understand how many Republicans and 572 00:31:50,280 --> 00:31:54,720 Speaker 1: how many blood red parts of the country are in California. Well, 573 00:31:54,720 --> 00:31:57,120 Speaker 1: that's true, and first of all, of course it's the 574 00:31:57,160 --> 00:31:59,960 Speaker 1: most populous state. And secondly, if you look at the 575 00:32:00,080 --> 00:32:02,160 Speaker 1: popular vote, which is not, of course, how you win 576 00:32:02,240 --> 00:32:04,800 Speaker 1: the presidency. As we know, right, it's not how many 577 00:32:04,880 --> 00:32:08,479 Speaker 1: yards you gain in a football game, it's the score. 578 00:32:09,360 --> 00:32:13,360 Speaker 1: But California actually had the third highest number of votes 579 00:32:13,400 --> 00:32:18,160 Speaker 1: for President Donald Trump in twenty sixteen, after Texas number one, 580 00:32:18,520 --> 00:32:21,840 Speaker 1: Florida number two, and California number three. As I recall, 581 00:32:21,840 --> 00:32:25,600 Speaker 1: it was like four million Californians that voted for Trump. 582 00:32:26,440 --> 00:32:29,240 Speaker 1: So a lot of those four million people are sick 583 00:32:29,280 --> 00:32:32,280 Speaker 1: and tired of living in California. Even though the weather's 584 00:32:32,360 --> 00:32:38,080 Speaker 1: nice and most of the state and they're looking to move. Well, 585 00:32:38,120 --> 00:32:41,040 Speaker 1: I'm glad you brought that up, Chuck, because what do 586 00:32:41,120 --> 00:32:44,040 Speaker 1: you think about that? You're somebody who's done it. Look, 587 00:32:44,080 --> 00:32:46,400 Speaker 1: I'm not a native Texan. I came here on purpose. 588 00:32:46,440 --> 00:32:48,320 Speaker 1: I came here without a job, just so I could 589 00:32:48,320 --> 00:32:51,920 Speaker 1: be in Texas. Tell me what are we supposed to think? 590 00:32:51,960 --> 00:32:54,040 Speaker 1: Not just people in Texas, because this is happening all 591 00:32:54,040 --> 00:32:57,520 Speaker 1: over the country. As people flee California, they're going other places. 592 00:32:57,680 --> 00:32:59,800 Speaker 1: I remember I grew up in Montana, and it was 593 00:32:59,840 --> 00:33:03,400 Speaker 1: a common bumper sticker to see Keith, Montana Beautiful. Put 594 00:33:03,400 --> 00:33:05,960 Speaker 1: a Californian on the bus. I'm not making that up. 595 00:33:06,240 --> 00:33:09,800 Speaker 1: Other states are nervous about an influx of Californians, should 596 00:33:09,800 --> 00:33:13,840 Speaker 1: they be well? I think Texas certainly has a tradition 597 00:33:13,960 --> 00:33:18,320 Speaker 1: since Davy Crockett went to Texas from Tennessee to defend 598 00:33:18,960 --> 00:33:22,320 Speaker 1: the Alamo and gave his life for Texas. We've done 599 00:33:22,320 --> 00:33:27,440 Speaker 1: a few We've been some polling. The Foundation has. Last year, 600 00:33:27,440 --> 00:33:30,520 Speaker 1: we polled eight hundred likely voters in Texas and we 601 00:33:30,560 --> 00:33:34,000 Speaker 1: asked the question, who'd you vote for in twenty sixteen 602 00:33:34,160 --> 00:33:37,800 Speaker 1: and were you born in Texas or did you move here? 603 00:33:38,400 --> 00:33:43,000 Speaker 1: And what we found was that native Texans did in 604 00:33:43,080 --> 00:33:47,120 Speaker 1: fact vote for Donald Trump for Texas for president, but 605 00:33:47,280 --> 00:33:50,760 Speaker 1: people who moved to Texas were actually more likely to 606 00:33:50,920 --> 00:33:54,200 Speaker 1: vote poor Donald Trump over Hillary Clinton by as I 607 00:33:54,240 --> 00:33:57,720 Speaker 1: recall it, by a five point margin. More Now, this 608 00:33:58,280 --> 00:34:01,920 Speaker 1: went along with CNN exit poll in the twenty eighteen 609 00:34:02,040 --> 00:34:06,880 Speaker 1: race between Robert Francis O'Rourke and Ted Cruz, which showed 610 00:34:07,360 --> 00:34:13,200 Speaker 1: that native Texans favored Rourke by plus three and people 611 00:34:13,200 --> 00:34:17,160 Speaker 1: who moved to Texas favored crews who, by the way, 612 00:34:17,600 --> 00:34:21,440 Speaker 1: moved to Texas by plus fifteen. So yet an eighteen 613 00:34:21,520 --> 00:34:26,920 Speaker 1: point spread between people who are Texans by choice versus 614 00:34:27,080 --> 00:34:29,680 Speaker 1: people who are Texans by birth. Now there's one more 615 00:34:29,719 --> 00:34:34,040 Speaker 1: pole goes way back to twenty seventeen, so maybe the 616 00:34:34,120 --> 00:34:38,480 Speaker 1: data is old, but it was specifically of California expats. 617 00:34:38,600 --> 00:34:44,879 Speaker 1: Every year, more people moved to Texas from California as 618 00:34:44,920 --> 00:34:48,040 Speaker 1: a net, right, the net number of people moving in 619 00:34:48,160 --> 00:34:51,320 Speaker 1: versus moving out. More people moved to Texas from California 620 00:34:51,360 --> 00:34:54,840 Speaker 1: than any other state. It's usually about sixty to one 621 00:34:54,920 --> 00:35:00,280 Speaker 1: hundred thousand people or so. And what you see on 622 00:35:00,160 --> 00:35:04,640 Speaker 1: on sixty to one hundred thousand a year. Yeah, although 623 00:35:04,719 --> 00:35:07,719 Speaker 1: what you what you generally see is there's quite a 624 00:35:07,719 --> 00:35:10,719 Speaker 1: few Texans of course moving out to right, So that's 625 00:35:10,719 --> 00:35:14,640 Speaker 1: the gross number, and in the meanwhile, there's a lot 626 00:35:14,680 --> 00:35:16,279 Speaker 1: of Texas moving out. But if you look at the 627 00:35:16,360 --> 00:35:21,600 Speaker 1: net increase, as I recall, in a typical year, Texas 628 00:35:21,760 --> 00:35:25,319 Speaker 1: increases on net by about one hundred thousand people a 629 00:35:25,440 --> 00:35:28,120 Speaker 1: year in an average year, and the biggest share of 630 00:35:28,160 --> 00:35:32,360 Speaker 1: that is Californians, probably fifteen to twenty thousand of that increase. 631 00:35:32,440 --> 00:35:37,680 Speaker 1: So this survey was of Californians only, and they found 632 00:35:37,800 --> 00:35:41,440 Speaker 1: that by fifty seven percent to twenty seven percent they 633 00:35:41,440 --> 00:35:46,120 Speaker 1: were conservative versus liberal. So we have three surveys. Not 634 00:35:46,320 --> 00:35:49,359 Speaker 1: one survey I've ever seen shows anything different. So three 635 00:35:49,440 --> 00:35:53,120 Speaker 1: that I know of that would indicate that Texas is 636 00:35:53,160 --> 00:35:59,080 Speaker 1: benefiting from a generally speaking conservative migration to Texas. Now, 637 00:35:59,120 --> 00:36:00,759 Speaker 1: I think this makes sense. And a lot of things, 638 00:36:00,800 --> 00:36:04,480 Speaker 1: I mean, moving is costly, moving is a bit scary. 639 00:36:05,360 --> 00:36:07,960 Speaker 1: Texas is known as both a southern state, it's known 640 00:36:08,000 --> 00:36:11,040 Speaker 1: as part of the Bible Belt. Things are very different here. 641 00:36:11,120 --> 00:36:14,879 Speaker 1: Things are more like Baker's Field in California. In most 642 00:36:14,920 --> 00:36:16,879 Speaker 1: of Texas than they are like most of the rest 643 00:36:16,880 --> 00:36:20,080 Speaker 1: of California. And so if you're a Californian, and if 644 00:36:20,080 --> 00:36:24,880 Speaker 1: you're a liberal outside of Austin, maybe because Austin is 645 00:36:24,880 --> 00:36:28,160 Speaker 1: a bit like the Bay Area. Outside of Austin, there's 646 00:36:28,200 --> 00:36:30,080 Speaker 1: really no other place in Texas that you'd want to 647 00:36:30,120 --> 00:36:32,480 Speaker 1: move to if you were a liberal. And so I 648 00:36:32,520 --> 00:36:35,279 Speaker 1: think that's what's going on, is people just decide where 649 00:36:35,320 --> 00:36:37,760 Speaker 1: to move based on where they think will be comfortable. 650 00:36:39,760 --> 00:36:42,680 Speaker 1: Does the better o roor Ted Cruise race mean bad 651 00:36:42,719 --> 00:36:45,279 Speaker 1: things for Texas? I get this question all the time. 652 00:36:45,480 --> 00:36:48,040 Speaker 1: You're actually the perfect person asked this question too, because 653 00:36:48,080 --> 00:36:50,280 Speaker 1: I've had so many of my friends in this state 654 00:36:50,800 --> 00:36:54,400 Speaker 1: genuinely nervous. For those who don't remember that loser O'Rourke 655 00:36:54,600 --> 00:36:57,520 Speaker 1: runs against Ted Cruise and almost beats him, and Cruise 656 00:36:57,560 --> 00:36:59,279 Speaker 1: only beats him by a couple of points. If people 657 00:36:59,280 --> 00:37:01,560 Speaker 1: were stunned, as they like to think of Texas as 658 00:37:01,600 --> 00:37:05,640 Speaker 1: this Republican bashtion, what happened there, Well, there's a couple 659 00:37:05,640 --> 00:37:07,239 Speaker 1: of things that happened. First of all, was the most 660 00:37:07,280 --> 00:37:11,600 Speaker 1: expensive US Senate in history up to that point. Secondly, 661 00:37:11,719 --> 00:37:14,720 Speaker 1: O'Rourke raised more than half of his money through Act 662 00:37:14,760 --> 00:37:18,040 Speaker 1: Blue in small contributions from all over the country and 663 00:37:18,120 --> 00:37:21,600 Speaker 1: frankly from foreign sources as well. As we've learned in 664 00:37:21,640 --> 00:37:26,919 Speaker 1: this election cycle, Act Blue has no ability nor inclination 665 00:37:27,520 --> 00:37:32,240 Speaker 1: to sort out the illegal contributions from overseas. So, for example, 666 00:37:32,880 --> 00:37:35,920 Speaker 1: they could be benefiting from thousands of gift card donations 667 00:37:35,920 --> 00:37:38,640 Speaker 1: from the People's Republic of China as an example, and 668 00:37:38,760 --> 00:37:41,320 Speaker 1: that money is going to find its way into American politics. 669 00:37:41,640 --> 00:37:45,280 Speaker 1: So more than half of the eighty plus million dollars 670 00:37:45,320 --> 00:37:50,040 Speaker 1: that flow through ouric's coffers came from Act Blue. And 671 00:37:50,320 --> 00:37:53,680 Speaker 1: why did that happen, Well, it happened because, aside from 672 00:37:53,680 --> 00:37:58,319 Speaker 1: President Donald Trump, the second most hated Republican in the 673 00:37:58,520 --> 00:38:03,440 Speaker 1: entire country was Senator Ted Cruz. And that's because he 674 00:38:03,680 --> 00:38:07,319 Speaker 1: was the face of the fight against Obamacare. He was 675 00:38:07,760 --> 00:38:11,000 Speaker 1: largely the face of Republican opposition to Obama in the 676 00:38:11,080 --> 00:38:13,680 Speaker 1: latter a few years of his term, and of course 677 00:38:13,719 --> 00:38:17,400 Speaker 1: he ran for president and was the last band standing 678 00:38:17,520 --> 00:38:21,719 Speaker 1: before I mean, really, I mean, we need to, you know, 679 00:38:21,840 --> 00:38:26,400 Speaker 1: put Cascina aside. But in fact, Cruz was the last 680 00:38:26,480 --> 00:38:32,120 Speaker 1: viable campaign against against Trump in twenty sixteen, and so 681 00:38:32,160 --> 00:38:35,239 Speaker 1: he had a huge target on his back. Liberals from 682 00:38:35,280 --> 00:38:38,280 Speaker 1: all over the country wanted to knock this guy off, 683 00:38:38,640 --> 00:38:42,839 Speaker 1: and they poured resources into the race, and so it 684 00:38:42,960 --> 00:38:45,800 Speaker 1: was close. But what's interesting is look at the margin 685 00:38:45,920 --> 00:38:49,560 Speaker 1: with which Governor Greg Abbott got reelected. Right. It was, 686 00:38:50,200 --> 00:38:54,200 Speaker 1: as I recall, more than ten points greater of a 687 00:38:54,280 --> 00:38:58,520 Speaker 1: margin than was a Senator Cruz's victory. So I tend 688 00:38:58,560 --> 00:39:00,439 Speaker 1: to see this as kind of a one off deal. 689 00:39:00,480 --> 00:39:03,640 Speaker 1: This is one of those things that happens where you 690 00:39:03,760 --> 00:39:06,840 Speaker 1: have an off your election, where the party in the 691 00:39:06,880 --> 00:39:10,480 Speaker 1: White House generally does poorly. From a historical standpoint, you 692 00:39:10,560 --> 00:39:14,560 Speaker 1: have a nationally known senator. Most state and most senators 693 00:39:14,560 --> 00:39:18,359 Speaker 1: are not known throughout the country. Certainly, the left knew 694 00:39:18,360 --> 00:39:21,400 Speaker 1: who Senator Cruz was, and they poured money in to 695 00:39:21,520 --> 00:39:24,400 Speaker 1: try to get him out of office. Didn't work, though 696 00:39:24,480 --> 00:39:26,879 Speaker 1: he's still there and seems to me I saw him 697 00:39:26,880 --> 00:39:31,560 Speaker 1: asking some good questions of Judge Jamie Coney, Barrett Jesse. 698 00:39:31,600 --> 00:39:33,680 Speaker 1: He is. He's one of about two or three actual 699 00:39:33,760 --> 00:39:37,040 Speaker 1: good senators. So I hope he keeps doing that. Now, Chuck, Finally, 700 00:39:37,440 --> 00:39:41,200 Speaker 1: you brought up polling a lot. Every single time you 701 00:39:41,239 --> 00:39:43,479 Speaker 1: bring up the polls. Now, because everybody's looking at the polls, 702 00:39:43,520 --> 00:39:46,359 Speaker 1: and we're all we're all dying for the election day 703 00:39:46,360 --> 00:39:48,200 Speaker 1: to come so we can know. Everyone just wants to know. 704 00:39:48,280 --> 00:39:50,520 Speaker 1: So they study polls every day, and of course Biden's 705 00:39:50,600 --> 00:39:52,879 Speaker 1: up in all of them, every single poll. And then 706 00:39:52,920 --> 00:39:54,759 Speaker 1: you'll get people on the right say, well, you can't 707 00:39:54,760 --> 00:39:57,319 Speaker 1: trust the polls. They were all wrong last time. Can 708 00:39:57,440 --> 00:39:59,440 Speaker 1: you trust the polls? Can you trust them all? Can 709 00:39:59,480 --> 00:40:02,920 Speaker 1: you trust If you can't trust them, why can't you 710 00:40:02,960 --> 00:40:05,520 Speaker 1: trust them? Or the pollsters biased? And can people not 711 00:40:05,600 --> 00:40:08,160 Speaker 1: be pulled accurately? What's happening? Well, I think you have 712 00:40:08,200 --> 00:40:10,919 Speaker 1: a combination of a lot of things. In point in fact, 713 00:40:10,920 --> 00:40:13,200 Speaker 1: you do have to look at who's behind the poll 714 00:40:13,600 --> 00:40:18,520 Speaker 1: What is their unspoken objective? Are they trying to demoralize 715 00:40:18,560 --> 00:40:21,080 Speaker 1: a certain segment of the population and maybe trying to 716 00:40:21,080 --> 00:40:23,239 Speaker 1: get them not to vote? You have to look at 717 00:40:23,280 --> 00:40:27,600 Speaker 1: their methodology. How did they select who they pulled? If 718 00:40:27,640 --> 00:40:31,719 Speaker 1: they simply called all adults, did they just ask are 719 00:40:31,760 --> 00:40:35,200 Speaker 1: you a registered voter? How likely are you to vote? Well, 720 00:40:35,200 --> 00:40:39,680 Speaker 1: that's relatively inexpensive to do versus calling off of a 721 00:40:39,800 --> 00:40:44,440 Speaker 1: validated list of people who are registered voters and already 722 00:40:44,480 --> 00:40:47,440 Speaker 1: having the information ahead of time, where you know, okay, 723 00:40:47,440 --> 00:40:50,279 Speaker 1: this voter voted in four of the last four elections. 724 00:40:50,600 --> 00:40:52,520 Speaker 1: So if they tell us that they're likely to vote, 725 00:40:52,520 --> 00:40:55,000 Speaker 1: we should believe them because they have a track record. 726 00:40:55,280 --> 00:40:59,520 Speaker 1: That's very different than asking someone who simply says yeah, 727 00:40:59,520 --> 00:41:04,040 Speaker 1: I'm oh, yeah, I really want to vote. You have 728 00:41:04,080 --> 00:41:08,000 Speaker 1: no evidence to suggest that that person's actually going to vote. Now, 729 00:41:08,120 --> 00:41:12,920 Speaker 1: the cost to do polling where you look into the 730 00:41:13,000 --> 00:41:17,480 Speaker 1: data and you find out ahead of time how frequently 731 00:41:17,520 --> 00:41:20,279 Speaker 1: they voted. That's a much more expensive poll to do 732 00:41:20,440 --> 00:41:23,719 Speaker 1: than just asking people. The other thing, of course, is 733 00:41:23,840 --> 00:41:27,879 Speaker 1: what's your turnout model. You have to make some assumptions 734 00:41:27,880 --> 00:41:31,960 Speaker 1: about what the percentage of people who are liberal leading 735 00:41:32,040 --> 00:41:35,360 Speaker 1: versus conservative leading, versus in the middle. You have to 736 00:41:35,360 --> 00:41:38,359 Speaker 1: make assumptions about how enthusiastic they are and how they're 737 00:41:38,400 --> 00:41:40,239 Speaker 1: going to turn out. Are they going to vote earlier, 738 00:41:40,280 --> 00:41:41,640 Speaker 1: are they going to vote by mail? Are they going 739 00:41:41,680 --> 00:41:44,120 Speaker 1: to vote on election day? These are all things that 740 00:41:44,160 --> 00:41:45,799 Speaker 1: if you don't do it right, your poll is going 741 00:41:45,840 --> 00:41:50,000 Speaker 1: to be off. And lastly, there's something that has been 742 00:41:50,040 --> 00:41:52,600 Speaker 1: known in polling science. It goes back to the Margaret 743 00:41:52,600 --> 00:41:57,719 Speaker 1: Thatcher days. It's called the shy Tory voter, and it 744 00:41:57,760 --> 00:42:00,960 Speaker 1: refers to the Tory Party in England and how Margaret 745 00:42:01,000 --> 00:42:04,279 Speaker 1: Thatcher won as Prime Minister and everyone was shocked. And 746 00:42:04,520 --> 00:42:07,400 Speaker 1: it went back even that far into the late seventies 747 00:42:07,719 --> 00:42:10,880 Speaker 1: because people who are conservative were more reluctant to admit 748 00:42:11,320 --> 00:42:13,440 Speaker 1: that they were going to vote for someone who had 749 00:42:13,480 --> 00:42:17,400 Speaker 1: been attacked is deplorable or unacceptable by the elites and 750 00:42:17,480 --> 00:42:21,600 Speaker 1: by the major media. Well now you have that times ten, 751 00:42:22,120 --> 00:42:25,040 Speaker 1: because back then not a lot of people probably lost 752 00:42:25,080 --> 00:42:27,560 Speaker 1: their jobs for admitting that they were going to vote 753 00:42:27,640 --> 00:42:30,600 Speaker 1: for the Tories in England and the late seventies. But 754 00:42:30,719 --> 00:42:33,840 Speaker 1: now we see evidence all over the country of people 755 00:42:33,920 --> 00:42:39,319 Speaker 1: losing their livelihoods, of people being attacked or insulted or 756 00:42:39,520 --> 00:42:44,120 Speaker 1: threatened if they admit that they are not going along 757 00:42:44,160 --> 00:42:46,920 Speaker 1: with the left wing ideology. And so I think a 758 00:42:46,960 --> 00:42:49,920 Speaker 1: lot of people who are potential Trump voters don't even 759 00:42:50,000 --> 00:42:52,680 Speaker 1: want to talk to polsters, or if they do, they're 760 00:42:52,719 --> 00:42:55,640 Speaker 1: they're going to say, well, I'm undecided because they don't 761 00:42:55,640 --> 00:42:58,080 Speaker 1: want to get fired. They don't want their house to 762 00:42:58,120 --> 00:43:01,680 Speaker 1: get attacked or you know, to be you know, jumped 763 00:43:01,719 --> 00:43:03,960 Speaker 1: in the parking lot or something. And so I think 764 00:43:03,960 --> 00:43:08,040 Speaker 1: that the polls are systematically understating the support for the 765 00:43:08,080 --> 00:43:10,759 Speaker 1: average Trump voter, and I do think that it takes 766 00:43:10,760 --> 00:43:13,279 Speaker 1: an extra effort to try to pull those people out 767 00:43:13,719 --> 00:43:17,839 Speaker 1: and to try to find out what they think. Chuck 768 00:43:17,920 --> 00:43:20,600 Speaker 1: the four people Texas Public Policy. Thank you, sir, I 769 00:43:20,640 --> 00:43:26,560 Speaker 1: appreciate you. Thank you man. That guy's good every time. 770 00:43:27,320 --> 00:43:38,640 Speaker 1: All right, we're not done. Hang on. I don't have 771 00:43:38,680 --> 00:43:42,000 Speaker 1: any kind of a setup for this video. I saw it, 772 00:43:42,719 --> 00:43:45,240 Speaker 1: and I'll be honest. When I first saw it, about 773 00:43:45,239 --> 00:43:48,799 Speaker 1: the first five seconds, I thought this is lame. And 774 00:43:48,840 --> 00:43:52,200 Speaker 1: then when day once it gets going, I thought to myself, 775 00:43:52,200 --> 00:43:56,120 Speaker 1: how much time did it take to put this together? Nevertheless, 776 00:43:56,320 --> 00:44:45,480 Speaker 1: it's kind of cool. Who hot Hot? It's stuck in 777 00:44:45,560 --> 00:44:47,880 Speaker 1: my head. Now it's stuck in your head. That's what 778 00:44:47,960 --> 00:44:50,560 Speaker 1: you get for watching this show. I'll see to Mo 779 00:45:01,320 --> 00:45:05,480 Speaker 1: Newton Group transfer. They are here to help you if 780 00:45:05,560 --> 00:45:10,200 Speaker 1: you're stuck in a timeshare. These stories from people who 781 00:45:10,320 --> 00:45:13,200 Speaker 1: have these time shares and can't get out of them, 782 00:45:13,280 --> 00:45:16,640 Speaker 1: they're shocking. These time share companies, not all of them, 783 00:45:16,680 --> 00:45:19,120 Speaker 1: but so many. They get their hooks into you and 784 00:45:19,200 --> 00:45:21,840 Speaker 1: you can't give them up. You can't give them up 785 00:45:21,920 --> 00:45:24,360 Speaker 1: or they'll they'll do things like they charge you thousands 786 00:45:24,360 --> 00:45:28,280 Speaker 1: of dollars. One girl she got past her time share 787 00:45:28,360 --> 00:45:31,600 Speaker 1: when her mother passed away. She gets passed the timeshar. 788 00:45:31,680 --> 00:45:34,120 Speaker 1: Doesn't want the time shar, doesn't use the time share. 789 00:45:34,920 --> 00:45:37,239 Speaker 1: They tell her she can get out of it for 790 00:45:37,400 --> 00:45:39,920 Speaker 1: four thousand dollars. She has to come up with a 791 00:45:39,960 --> 00:45:42,719 Speaker 1: four thousand dollars check. This is not right, it's unjust 792 00:45:42,920 --> 00:45:46,000 Speaker 1: and Newton Group Transfers is here to help you. If 793 00:45:46,040 --> 00:45:48,799 Speaker 1: you are in a timeshare and one out or knows 794 00:45:48,840 --> 00:45:51,879 Speaker 1: someone who is, call eight eight eight eight four five 795 00:45:52,320 --> 00:45:55,719 Speaker 1: three seven seven three that's eight A eight eight four 796 00:45:55,920 --> 00:45:59,640 Speaker 1: jesse or go to timeshare jesse dot com Newton Group 797 00:45:59,680 --> 00:46:01,120 Speaker 1: trans for They will help you out