1 00:00:00,840 --> 00:00:04,160 Speaker 1: All right, clad you with us busy newsday today as 2 00:00:04,640 --> 00:00:06,600 Speaker 1: we have a lot going on eight hundred and nine 3 00:00:06,680 --> 00:00:09,080 Speaker 1: for one. Shaun as our toll free telephone number three 4 00:00:09,119 --> 00:00:13,840 Speaker 1: speech summit going on at the White House President Executive 5 00:00:13,960 --> 00:00:17,560 Speaker 1: Order on the census question, well, what is wrong with 6 00:00:17,760 --> 00:00:23,800 Speaker 1: asking a question that you know has been asked so many, 7 00:00:24,000 --> 00:00:27,200 Speaker 1: so many times in the past. What is wrong with 8 00:00:27,440 --> 00:00:31,840 Speaker 1: knowing how many people in this country have come into 9 00:00:31,880 --> 00:00:36,239 Speaker 1: this country and are here illegally that didn't respect our borders, 10 00:00:36,680 --> 00:00:42,400 Speaker 1: our laws, our sovereignty and having that number as a baseline. 11 00:00:42,400 --> 00:00:44,760 Speaker 1: I mean, I know people throw out numbers all the time, 12 00:00:44,840 --> 00:00:49,520 Speaker 1: but eleven million, thirty million, seven million, eight million, nobody knows. 13 00:00:50,120 --> 00:00:52,479 Speaker 1: So it would be an opportunity for America to get 14 00:00:52,520 --> 00:00:54,600 Speaker 1: to know. There's no better opportunity. We've done it in 15 00:00:54,720 --> 00:00:58,120 Speaker 1: past census, and the President wants to do it now. 16 00:00:58,200 --> 00:01:00,040 Speaker 1: I think it's the right thing to do. And the 17 00:01:00,080 --> 00:01:02,680 Speaker 1: fact that everybody wants to turn this into some type 18 00:01:02,680 --> 00:01:05,120 Speaker 1: of race issue has nothing to do with race. You 19 00:01:05,160 --> 00:01:07,640 Speaker 1: know the president, everyone forgets that he wants to build 20 00:01:08,920 --> 00:01:12,240 Speaker 1: a wall. But what else did he say with a 21 00:01:12,240 --> 00:01:16,280 Speaker 1: big door in it? Okay, a big door means that 22 00:01:16,400 --> 00:01:22,160 Speaker 1: he supports legal immigration, not illegal immigration, and every listen, 23 00:01:22,280 --> 00:01:25,040 Speaker 1: I don't care where you come from, I really don't. 24 00:01:25,520 --> 00:01:29,400 Speaker 1: I think, for example, having people I like the idea 25 00:01:29,480 --> 00:01:34,760 Speaker 1: of merit based immigration, especially for certain sectors, certain fields 26 00:01:34,760 --> 00:01:39,959 Speaker 1: of endeavor. If, for example, we need more computer programmers, 27 00:01:40,040 --> 00:01:43,280 Speaker 1: or we need more doctors, or we need more surgeons, 28 00:01:43,400 --> 00:01:47,000 Speaker 1: or we need more engineers, or whatever it happens to be, 29 00:01:47,040 --> 00:01:50,360 Speaker 1: whatever the field of endeavor happens to be. Or maybe 30 00:01:50,400 --> 00:01:54,240 Speaker 1: we need more laborers to work in different construction jobs 31 00:01:54,320 --> 00:01:58,520 Speaker 1: or in farms around in America. Okay, we have opportunities. 32 00:01:58,760 --> 00:02:02,880 Speaker 1: We can't fill these positions absolutely. I'm only asking for 33 00:02:02,920 --> 00:02:06,160 Speaker 1: two things. Number one, that we check you out and 34 00:02:06,240 --> 00:02:09,280 Speaker 1: make sure you that you are who you say you are, 35 00:02:09,880 --> 00:02:14,400 Speaker 1: and that you have no intention, no background, no red flags, 36 00:02:14,440 --> 00:02:19,119 Speaker 1: no indication that you support ideas that are contrary too 37 00:02:19,800 --> 00:02:24,920 Speaker 1: and contradict our American constitutional system. In other words, that 38 00:02:25,000 --> 00:02:28,520 Speaker 1: you're here because you want a better life. Okay, once 39 00:02:28,560 --> 00:02:31,400 Speaker 1: we check you out, we determine you're the person you 40 00:02:31,440 --> 00:02:36,560 Speaker 1: say you are. There are jobs available for people right now. 41 00:02:37,240 --> 00:02:39,600 Speaker 1: We learned from the FED that there seven and a 42 00:02:39,680 --> 00:02:43,480 Speaker 1: half million unfilled jobs in America today. That's a huge 43 00:02:43,480 --> 00:02:46,079 Speaker 1: amount of jobs that we've got to fill, and we're 44 00:02:46,200 --> 00:02:50,359 Speaker 1: virtually at full employment in this country. So if we 45 00:02:50,440 --> 00:02:53,760 Speaker 1: need laborers, or maybe we need doctors, or maybe we 46 00:02:53,800 --> 00:02:58,680 Speaker 1: need mechanical engineers, or maybe we need computer programmers, Okay, 47 00:02:58,760 --> 00:03:03,399 Speaker 1: you can make the application. We can expedite the process 48 00:03:03,480 --> 00:03:07,480 Speaker 1: which has been burdensome and takes way too long. You 49 00:03:07,520 --> 00:03:10,160 Speaker 1: should pay for your own vetting. If you want to 50 00:03:10,160 --> 00:03:13,000 Speaker 1: be a citizen, you should pay to be vetted. And 51 00:03:13,120 --> 00:03:16,800 Speaker 1: by vetting, we do a security background check on whoever 52 00:03:16,840 --> 00:03:20,160 Speaker 1: you happen to be. And the other requirement I would 53 00:03:20,200 --> 00:03:22,360 Speaker 1: have is that you've got to be able and prove 54 00:03:22,440 --> 00:03:25,119 Speaker 1: that you will be able to take care of yourself 55 00:03:25,160 --> 00:03:31,000 Speaker 1: and not rely on the American taxpayers for education, health care, 56 00:03:31,840 --> 00:03:36,320 Speaker 1: or any other housing, clothing, whatever you might need. I 57 00:03:36,400 --> 00:03:39,360 Speaker 1: think that's fair because we only have a limited number 58 00:03:39,400 --> 00:03:43,400 Speaker 1: of available slots at any given time, sometimes more we 59 00:03:43,440 --> 00:03:46,840 Speaker 1: have more slots than others, and it's highly coveted, and 60 00:03:46,880 --> 00:03:48,800 Speaker 1: I think it should be given to people that respect 61 00:03:48,840 --> 00:03:53,400 Speaker 1: our laws, our constitution, our sovereignty, and our border. I 62 00:03:53,400 --> 00:03:55,160 Speaker 1: don't think it should be given to people that just 63 00:03:55,200 --> 00:03:57,040 Speaker 1: decide they want to come to America. The hell with 64 00:03:57,080 --> 00:03:59,000 Speaker 1: our laws, the hell with our borders, the hell with 65 00:03:59,040 --> 00:04:03,800 Speaker 1: our sovereignty. It's really that simple knowing who is here illegally, 66 00:04:04,320 --> 00:04:06,160 Speaker 1: you know. I mean, if we did what Mexico has 67 00:04:06,200 --> 00:04:10,440 Speaker 1: done up to really recently, Mexico, if you're an illegal immigrant, 68 00:04:10,480 --> 00:04:16,000 Speaker 1: they would throw you out immediately, or even worse, they 69 00:04:16,000 --> 00:04:19,800 Speaker 1: would throw you in jail for a significant period of time. Now, 70 00:04:20,200 --> 00:04:23,400 Speaker 1: one of the things that's happened on the border recently 71 00:04:23,560 --> 00:04:27,960 Speaker 1: is there is a dramatic slow down in terms of 72 00:04:28,080 --> 00:04:35,760 Speaker 1: let's see an eighty five decrease in border apprehensions, the 73 00:04:35,839 --> 00:04:39,159 Speaker 1: lowest level since March. Now, why did that happen? Because 74 00:04:39,200 --> 00:04:42,240 Speaker 1: finally the President put his foot down, even though some 75 00:04:42,400 --> 00:04:46,919 Speaker 1: Republicans no spine, no backbone, he said, okay, if you 76 00:04:47,040 --> 00:04:50,320 Speaker 1: don't stop at Mexico, because you're allowing it to happen. 77 00:04:50,800 --> 00:04:56,159 Speaker 1: Those people coming from El Salvador and Nicaraugua, Central America 78 00:04:56,279 --> 00:04:59,760 Speaker 1: are creating migrant caravans, and they're marching straight through your 79 00:05:00,000 --> 00:05:02,039 Speaker 1: country and you're not doing anything. And you're supposed to 80 00:05:02,040 --> 00:05:05,120 Speaker 1: be our friend and neighbor. Normally your practice has been 81 00:05:05,160 --> 00:05:08,440 Speaker 1: to return people, but you've decided to let people just 82 00:05:08,600 --> 00:05:11,200 Speaker 1: walk right on through Mexico right up to the Mexican 83 00:05:11,240 --> 00:05:15,560 Speaker 1: border with America. And now we've got a potential crisis 84 00:05:15,600 --> 00:05:20,000 Speaker 1: going on. Okay, that has to stop. And if it 85 00:05:20,040 --> 00:05:22,160 Speaker 1: doesn't stop, we're going to slap a tariff on you. 86 00:05:22,600 --> 00:05:26,160 Speaker 1: And that's what the President has done. And so we'll see. 87 00:05:26,160 --> 00:05:29,960 Speaker 1: So anyway, the President is going to move forward with 88 00:05:30,000 --> 00:05:33,640 Speaker 1: the citizenship question. The other thing this freedom of speech 89 00:05:33,680 --> 00:05:36,360 Speaker 1: form on these big tech companies. You gotta understand something here. 90 00:05:37,520 --> 00:05:41,480 Speaker 1: If we don't do that. Think of the Project Veritas 91 00:05:41,680 --> 00:05:44,279 Speaker 1: video and James O'Keefe what was it last week or 92 00:05:44,279 --> 00:05:49,360 Speaker 1: the week before, two weeks ago, and an undercover video 93 00:05:49,440 --> 00:05:54,000 Speaker 1: showing the people at Google in a very sophisticated fashion, 94 00:05:54,960 --> 00:05:59,919 Speaker 1: are programming algorithms. Now we're leaving my area of expert. 95 00:06:00,040 --> 00:06:02,720 Speaker 1: He's here, so you know, bear with me a little bit. 96 00:06:03,560 --> 00:06:08,320 Speaker 1: But what they're doing is controlling content. In other words, 97 00:06:08,720 --> 00:06:12,719 Speaker 1: they want to control the news that people see when 98 00:06:12,720 --> 00:06:16,239 Speaker 1: they google a particular topic. Now, in the one case, 99 00:06:16,320 --> 00:06:20,240 Speaker 1: what James O'Keefe did very cleverly, I think, is he said, 100 00:06:20,240 --> 00:06:23,920 Speaker 1: all right, let's google Hillary Clinton and emails. Well, of 101 00:06:23,920 --> 00:06:28,240 Speaker 1: course we expect email server. The violation of the Espionage 102 00:06:28,279 --> 00:06:31,760 Speaker 1: Act and top secret classified information on the secret server, 103 00:06:32,000 --> 00:06:35,880 Speaker 1: and of course the obstruction of subpoena, emails deleted and 104 00:06:36,040 --> 00:06:41,360 Speaker 1: bleach bit and the hammers anyway, but it's buried in Google. 105 00:06:41,600 --> 00:06:45,080 Speaker 1: But you get Donald Trump pops right up. Now that 106 00:06:45,120 --> 00:06:50,479 Speaker 1: would be well, frankly, it's propaganda. It's not honest. It's 107 00:06:50,520 --> 00:06:55,039 Speaker 1: a false representation of what the truth is on the topic. 108 00:06:55,120 --> 00:06:57,440 Speaker 1: And I you'd think Google would want to inform people 109 00:06:57,480 --> 00:07:01,480 Speaker 1: with the truth. But it's also a camp donation. When 110 00:07:01,560 --> 00:07:04,359 Speaker 1: you were dealing with Google and the numbers of people 111 00:07:05,160 --> 00:07:09,760 Speaker 1: that we have that tap into Google every single solitary 112 00:07:09,880 --> 00:07:13,400 Speaker 1: day to look up information, and you're controlling the free 113 00:07:13,480 --> 00:07:16,600 Speaker 1: flow of that information. But you're now talking about the 114 00:07:16,640 --> 00:07:23,000 Speaker 1: ability probably to impact the outcome of a presidential race, 115 00:07:23,040 --> 00:07:26,720 Speaker 1: a national election. That's a problem because that's the biggest 116 00:07:26,760 --> 00:07:29,880 Speaker 1: in kind donation ever. Or the same would go for 117 00:07:30,000 --> 00:07:33,440 Speaker 1: Facebook or Twitter or any of these high tech companies. 118 00:07:33,960 --> 00:07:37,760 Speaker 1: If they're controlling data, if they're shadow banning people, if 119 00:07:37,800 --> 00:07:44,280 Speaker 1: for example, they set up algorithms that reduced conservative content 120 00:07:44,480 --> 00:07:49,280 Speaker 1: but spread virally liberal content, well that's what there's high 121 00:07:49,320 --> 00:07:51,920 Speaker 1: Tech Summit's about a lot going on in the way House, 122 00:07:51,920 --> 00:07:53,600 Speaker 1: they got the summit. Then on top of that, then 123 00:07:53,640 --> 00:07:56,640 Speaker 1: they've got the issue of the president now moving forward 124 00:07:56,640 --> 00:07:59,080 Speaker 1: with an executive order. As it relates to the census question, 125 00:07:59,080 --> 00:08:03,280 Speaker 1: how many people are on at any given day or hour. 126 00:08:03,640 --> 00:08:05,280 Speaker 1: Let me look that up for you. I believe you 127 00:08:05,280 --> 00:08:07,800 Speaker 1: could find that information on Hannity dot com. You tell 128 00:08:07,840 --> 00:08:09,600 Speaker 1: me that every time, so I assume you have it 129 00:08:09,640 --> 00:08:11,960 Speaker 1: at you're ready. Do you know how many? I do? Actually, 130 00:08:12,000 --> 00:08:17,560 Speaker 1: it's sixty sixty three thousand searches per second? Sixty three thousand? 131 00:08:17,600 --> 00:08:20,480 Speaker 1: How many in that twenty four hour day? I'm sorry? 132 00:08:20,520 --> 00:08:22,720 Speaker 1: Do I do? I look like some kind of savant. 133 00:08:22,720 --> 00:08:24,400 Speaker 1: I thought you said you had it in front of you. 134 00:08:25,120 --> 00:08:28,080 Speaker 1: Listen by I know one statistic? By what what's one 135 00:08:28,760 --> 00:08:30,880 Speaker 1: sixty three thousand three per second? That's the one you 136 00:08:30,960 --> 00:08:33,200 Speaker 1: keep asking me. Yeah, well that's I didn't know how 137 00:08:33,200 --> 00:08:36,640 Speaker 1: it's coming to Jeopardy today. Hold on, Oh my gosh, exactly. 138 00:08:37,360 --> 00:08:39,640 Speaker 1: Just slow down the show because you're not paying attention. 139 00:08:39,679 --> 00:08:41,720 Speaker 1: You're in there talking to Blarney. First of all, do 140 00:08:41,760 --> 00:08:43,480 Speaker 1: you know what I was just doing for you? What 141 00:08:43,480 --> 00:08:45,800 Speaker 1: were you doing? Tell you what? I was just printing out? 142 00:08:45,840 --> 00:08:48,440 Speaker 1: The project Veritas highlights from that video so I could 143 00:08:48,440 --> 00:08:49,880 Speaker 1: bring it into you so you didn't have to try to, 144 00:08:50,160 --> 00:08:52,640 Speaker 1: you know, scram through your you know that cobb memory 145 00:08:52,760 --> 00:08:56,480 Speaker 1: all a brain, you know the cobweb. Wow, getting a 146 00:08:56,480 --> 00:08:59,760 Speaker 1: little odd under the collar in here today. Exactly right. 147 00:08:59,760 --> 00:09:02,720 Speaker 1: So what number I was talking whole night, what's the number? 148 00:09:04,120 --> 00:09:08,160 Speaker 1: Three point five three point five billion a day searches 149 00:09:08,200 --> 00:09:10,240 Speaker 1: a day. All right, Now, you're going to control the 150 00:09:10,280 --> 00:09:13,040 Speaker 1: content of that three point five billion a day. And 151 00:09:13,280 --> 00:09:16,280 Speaker 1: if you're controlling the content to advance a political agenda 152 00:09:16,360 --> 00:09:22,239 Speaker 1: not another, well, that gives a massive influential competitive advantage 153 00:09:22,520 --> 00:09:25,640 Speaker 1: to one person, one side of the debate. We don't 154 00:09:25,640 --> 00:09:28,160 Speaker 1: want that. All right, we'll get back to that as 155 00:09:28,160 --> 00:09:31,439 Speaker 1: the day on. Folks. Now, this is getting really interesting 156 00:09:31,480 --> 00:09:36,079 Speaker 1: because behind the scenes yesterday Speaker of the House and 157 00:09:36,240 --> 00:09:40,320 Speaker 1: name only Nancy Pelosi, Well, it turns out she's telling 158 00:09:40,559 --> 00:09:46,679 Speaker 1: people like Alexandria Cacio Ortez Cortez that if you have 159 00:09:46,720 --> 00:09:50,400 Speaker 1: a criticism of me, tell me to my face, not 160 00:09:50,520 --> 00:09:55,480 Speaker 1: on Twitter. Well, every time she calls out the real speaker, 161 00:09:55,720 --> 00:10:01,400 Speaker 1: the one that is controlling the agenda, well, Alexandria Cassio 162 00:10:01,520 --> 00:10:05,080 Speaker 1: Cortez or AOC as she is better known just gives 163 00:10:05,080 --> 00:10:08,439 Speaker 1: her more of a taste of her own medicine. Anyway, 164 00:10:08,520 --> 00:10:11,880 Speaker 1: So we thought the spat was bad yesterday, and it 165 00:10:12,000 --> 00:10:17,079 Speaker 1: got a lot nastier last night after the so called speaker. 166 00:10:17,120 --> 00:10:21,960 Speaker 1: Pelosi spoke out and said literally suggesting the speakers singling 167 00:10:21,960 --> 00:10:25,880 Speaker 1: out her and her colleagues, and then AOC said telling 168 00:10:25,920 --> 00:10:29,640 Speaker 1: the Washington posted an interview that the persistent singling out 169 00:10:30,280 --> 00:10:35,280 Speaker 1: of newly elected women of color by the speaker maybe 170 00:10:35,840 --> 00:10:42,400 Speaker 1: more than outright disrespectful. What is she saying? Is she racist? 171 00:10:42,720 --> 00:10:46,040 Speaker 1: Is that the implication here, by the way, interesting in 172 00:10:46,120 --> 00:10:49,360 Speaker 1: light of the fact that Nancy Pelosi herself played the 173 00:10:49,480 --> 00:10:53,560 Speaker 1: race card on the census question just what two days earlier, 174 00:10:54,200 --> 00:10:57,280 Speaker 1: and AOC court did not rule in their favorite because 175 00:10:57,320 --> 00:11:01,160 Speaker 1: they said the administration did not give sufficient evidence as 176 00:11:01,160 --> 00:11:06,360 Speaker 1: to why the census citizenship questions should be there. So 177 00:11:06,440 --> 00:11:10,040 Speaker 1: they kick the can. And then the administration said, okay, 178 00:11:10,080 --> 00:11:12,400 Speaker 1: we won't put it on there, and then the President 179 00:11:12,840 --> 00:11:17,960 Speaker 1: injected himself into this. But this is about keeping you know, 180 00:11:18,720 --> 00:11:22,240 Speaker 1: make America, you know this hat make America white again. 181 00:11:22,600 --> 00:11:27,320 Speaker 1: They want to make sure that people, certain people are counted. 182 00:11:28,080 --> 00:11:32,160 Speaker 1: It's really disgraceful and it's not what our founders had 183 00:11:32,240 --> 00:11:36,960 Speaker 1: in mind. It's not certain people, it's every person in 184 00:11:37,000 --> 00:11:40,440 Speaker 1: the country is going to get counted, including those that 185 00:11:40,520 --> 00:11:44,000 Speaker 1: might be here that we know. We're here illegally, you know, 186 00:11:44,120 --> 00:11:48,040 Speaker 1: if you have look, I think I speak for most people. 187 00:11:48,920 --> 00:11:53,319 Speaker 1: I want America, yeah, to be the land of opportunity. 188 00:11:53,400 --> 00:11:56,960 Speaker 1: We just can't take the world's population. And I know 189 00:11:57,000 --> 00:11:58,840 Speaker 1: there are countries in the world we have to be 190 00:11:59,080 --> 00:12:03,000 Speaker 1: build walls to keep them where they are. By the way, 191 00:12:03,040 --> 00:12:06,880 Speaker 1: I'm looking at this, Oh my gosh, this is Google Live. 192 00:12:06,960 --> 00:12:12,120 Speaker 1: You see the numbers. Over four billion Google searches today, 193 00:12:12,840 --> 00:12:17,839 Speaker 1: four billion, one hundred and seventy wait, four billion, one 194 00:12:17,920 --> 00:12:23,240 Speaker 1: hundred and seventy four million searches so far today. Wow. 195 00:12:23,960 --> 00:12:28,720 Speaker 1: Internet users in the world four billion, two hundred and 196 00:12:28,760 --> 00:12:35,000 Speaker 1: seventy seven million people as of today. Over three million, 197 00:12:35,120 --> 00:12:39,079 Speaker 1: almost four million blog posts today. Twitter tweets today, you 198 00:12:39,240 --> 00:12:43,559 Speaker 1: have four hundred and seventy two million tweets today. Now, 199 00:12:43,600 --> 00:12:47,600 Speaker 1: these are powerful companies. Emails today one hundred and sixty 200 00:12:47,640 --> 00:12:52,240 Speaker 1: one billion. Now, I bet those mega data storage centers 201 00:12:52,240 --> 00:12:55,120 Speaker 1: in Utah they're pretty busy every day. If they're capturing 202 00:12:55,160 --> 00:12:58,080 Speaker 1: all of this stuff, is well has been suggested on 203 00:12:58,120 --> 00:13:03,000 Speaker 1: this program. So anyways to watch now Casio Cortez being 204 00:13:03,120 --> 00:13:06,240 Speaker 1: so defiant, and I love those people in the media 205 00:13:06,320 --> 00:13:10,600 Speaker 1: saying Hannity is pushing a conspiracy theory again. He's saying 206 00:13:10,640 --> 00:13:13,760 Speaker 1: that Nancy Pelosi's not the real speaker, that there was 207 00:13:13,800 --> 00:13:16,240 Speaker 1: somehow a change in power, but we don't know it 208 00:13:16,280 --> 00:13:19,520 Speaker 1: because they're hiding it from us. Okay for you stupid 209 00:13:19,559 --> 00:13:23,280 Speaker 1: people in the medium, mop when I say speaker in 210 00:13:23,440 --> 00:13:27,920 Speaker 1: name only, I'm saying exactly what happened yesterday, and that 211 00:13:28,160 --> 00:13:32,360 Speaker 1: is Nancy Pelosi tells the Casio Cortez you got something 212 00:13:32,440 --> 00:13:35,239 Speaker 1: to say to me, say it to my face, not publicly, 213 00:13:35,280 --> 00:13:40,000 Speaker 1: not on social media. And what happens. Casio Cortez does 214 00:13:40,040 --> 00:13:43,600 Speaker 1: what she's done every other time. She goes out, doubles 215 00:13:43,679 --> 00:13:48,400 Speaker 1: down and challenges Nancy's quote gavel, She's the real speaker 216 00:13:48,400 --> 00:13:52,640 Speaker 1: of the House, Nanci Pelosi, speaker in name only. That's 217 00:13:52,679 --> 00:13:55,079 Speaker 1: it she's and by the way, think about it, speaker 218 00:13:55,520 --> 00:13:58,800 Speaker 1: in name only. Well, this kind of proves the point 219 00:13:59,600 --> 00:14:04,160 Speaker 1: is that if Acasio Cortes does not care one wit 220 00:14:04,679 --> 00:14:09,319 Speaker 1: about what Nancy Pelosi says, that's my point. And who 221 00:14:09,320 --> 00:14:12,599 Speaker 1: are all the twenty twenty Democratic presidential candidates listening to 222 00:14:12,679 --> 00:14:16,760 Speaker 1: because they've all adopted some version of the New Green Deal. Well, 223 00:14:16,840 --> 00:14:20,120 Speaker 1: they'd be listening to Acasio Cortez because it's not like 224 00:14:20,240 --> 00:14:25,160 Speaker 1: Nancy Pelosi actually has any agenda whatsoever. I tell you this, 225 00:14:25,280 --> 00:14:27,800 Speaker 1: I give a Coasio Cortez high marks for one thing. 226 00:14:28,440 --> 00:14:31,280 Speaker 1: She's pretty courageous. I love what she's I love this. 227 00:14:31,840 --> 00:14:33,720 Speaker 1: By the way, we'll she'd be courageous enough to ever 228 00:14:33,800 --> 00:14:36,680 Speaker 1: do their show. All right, glad you others twenty five 229 00:14:36,800 --> 00:14:38,560 Speaker 1: till the top of the hour, eight hundred and nine 230 00:14:38,640 --> 00:14:40,520 Speaker 1: four one Sean, you want to be a part of 231 00:14:40,560 --> 00:14:42,960 Speaker 1: the program. I guess they printed out all of the 232 00:14:44,080 --> 00:14:47,840 Speaker 1: citizenship sens this stuff without the question. Now it's a 233 00:14:47,920 --> 00:14:51,880 Speaker 1: question of the president executive order to add like another 234 00:14:51,920 --> 00:14:55,920 Speaker 1: page or another sheet. And it's not looking good, which 235 00:14:55,960 --> 00:14:57,920 Speaker 1: I think should be. Well, I don't see anything wrong 236 00:14:57,960 --> 00:15:00,600 Speaker 1: with asking the question and knowing who Actley is in 237 00:15:00,640 --> 00:15:04,360 Speaker 1: this country. I don't know why that's even deemed controversial. 238 00:15:05,280 --> 00:15:09,479 Speaker 1: I don't think I think every American knows fundamentally and instinctively. 239 00:15:09,520 --> 00:15:13,640 Speaker 1: It is in our character, It's in our bloodstream, it's 240 00:15:13,640 --> 00:15:17,320 Speaker 1: in our soul. It's in our solar plexus in that 241 00:15:17,600 --> 00:15:22,560 Speaker 1: we are a nation of immigrants. We have people from 242 00:15:22,600 --> 00:15:27,680 Speaker 1: over the entire globe coming to this country. Nobody has 243 00:15:27,720 --> 00:15:31,840 Speaker 1: said that, I have heard they want to end all immigration. 244 00:15:31,920 --> 00:15:35,360 Speaker 1: I have not heard anybody say that. I've not heard 245 00:15:35,480 --> 00:15:39,880 Speaker 1: anybody or would suggest, wow, we're only going to take 246 00:15:39,920 --> 00:15:43,200 Speaker 1: people from here, but not here, and not heard that. 247 00:15:44,520 --> 00:15:49,480 Speaker 1: What people are saying, though, is what we're asking because look, 248 00:15:49,480 --> 00:15:52,320 Speaker 1: if we opened up our doors tomorrow, probably half the 249 00:15:52,320 --> 00:15:55,760 Speaker 1: world's population would want to come right over. We don't 250 00:15:55,760 --> 00:15:59,240 Speaker 1: have the capacity to take in everybody that wants to 251 00:15:59,280 --> 00:16:02,320 Speaker 1: be here. We're just asking that you respect our laws, 252 00:16:03,000 --> 00:16:07,560 Speaker 1: our constitution, our borders, and our sovereignty, and that you 253 00:16:07,680 --> 00:16:09,960 Speaker 1: follow the legal process, which, by the way, I would 254 00:16:10,000 --> 00:16:13,680 Speaker 1: be in favor of expediting that process. I'd make a 255 00:16:13,680 --> 00:16:16,840 Speaker 1: few suggestions. I would say, I do like the idea 256 00:16:16,840 --> 00:16:22,080 Speaker 1: of merit based citizenship or merit based immigration. It's the 257 00:16:22,120 --> 00:16:25,880 Speaker 1: same system that Australia has. New Zealand has very difficult 258 00:16:25,920 --> 00:16:28,480 Speaker 1: to get into those countries, and by the way, their 259 00:16:28,760 --> 00:16:31,320 Speaker 1: their prime ministers have been very firm on the issue 260 00:16:31,320 --> 00:16:34,480 Speaker 1: of assimilation. You come to Australia, you're going to be 261 00:16:34,520 --> 00:16:37,480 Speaker 1: an Australian. You're not going to tell us how we 262 00:16:37,480 --> 00:16:41,720 Speaker 1: ought to change our way of life and their view 263 00:16:41,760 --> 00:16:44,760 Speaker 1: of civil society and how they run things. So they've 264 00:16:44,760 --> 00:16:48,240 Speaker 1: been pretty clear about that. And as far as illegal immigration, well, 265 00:16:48,280 --> 00:16:52,000 Speaker 1: if you're going by boat, say to Australian and they 266 00:16:52,080 --> 00:16:55,040 Speaker 1: will meet you in the waters, and they're gonna give 267 00:16:55,040 --> 00:16:58,320 Speaker 1: you food, and they'll give you water, and they're gonna 268 00:16:58,320 --> 00:17:00,400 Speaker 1: give you If you needed medical attention, they won't take 269 00:17:00,400 --> 00:17:03,040 Speaker 1: you to the mainland. If you need real medical attention, 270 00:17:03,120 --> 00:17:05,200 Speaker 1: they're gonna take care of you. Then they're gonna send 271 00:17:05,240 --> 00:17:06,679 Speaker 1: you back in the boat. And then said tell you 272 00:17:06,680 --> 00:17:08,880 Speaker 1: to go back to where you came from. They don't 273 00:17:08,880 --> 00:17:11,800 Speaker 1: accept the illegal immigration. Mexico of all countries. I mean, 274 00:17:11,800 --> 00:17:15,520 Speaker 1: it infuriated me because they had some of the most 275 00:17:15,600 --> 00:17:19,159 Speaker 1: draconian treatment of the illegal immigrants. They'd throw you in 276 00:17:19,240 --> 00:17:22,560 Speaker 1: jail for however long they wanted, indefinitely at times, or 277 00:17:22,600 --> 00:17:26,879 Speaker 1: they just throw you back, send you back immediately, you know, 278 00:17:27,040 --> 00:17:29,879 Speaker 1: do not pass go You're going back, no questions asked. 279 00:17:30,640 --> 00:17:33,360 Speaker 1: And since the president did his things anyway, I get it. 280 00:17:33,960 --> 00:17:36,159 Speaker 1: We'll see what happens in the end here. But the 281 00:17:36,200 --> 00:17:41,879 Speaker 1: illegal immigrant population, you know, according to some surveys, is 282 00:17:41,880 --> 00:17:44,240 Speaker 1: going to be ten percent. We don't have the ability 283 00:17:44,280 --> 00:17:48,000 Speaker 1: to absorb that anyway. Eight hundred and nine for one 284 00:17:48,040 --> 00:17:49,840 Speaker 1: Sean is a toe free telephone number. You want to 285 00:17:49,840 --> 00:17:51,400 Speaker 1: be a part of the program. I want to take 286 00:17:51,640 --> 00:17:53,680 Speaker 1: a quick break here for a second, in the sense 287 00:17:53,760 --> 00:17:58,639 Speaker 1: that we have now the southeastern United States all the 288 00:17:58,680 --> 00:18:03,560 Speaker 1: way from say, Houston through Florida. Now we have a 289 00:18:03,720 --> 00:18:07,480 Speaker 1: forecast that looks pretty ominous and may even turn into 290 00:18:07,480 --> 00:18:11,359 Speaker 1: I guess the season's first hurricane. We at WeatherBell dot com. 291 00:18:11,400 --> 00:18:14,520 Speaker 1: The official meteorologist of the Sean Hannity Show, Joe, but 292 00:18:14,680 --> 00:18:17,680 Speaker 1: starting standing by what are the biggest what's happening? When 293 00:18:17,760 --> 00:18:19,800 Speaker 1: is it going to happen? New Orleans, I guess, is 294 00:18:19,840 --> 00:18:24,080 Speaker 1: in jeopardy of at least tropical storm winds, maybe even 295 00:18:24,119 --> 00:18:29,240 Speaker 1: twelve inches of rain or more. Who's in jeopardy here? Well, 296 00:18:29,280 --> 00:18:32,159 Speaker 1: New Orleans is the target that I'm most nervous about. 297 00:18:32,280 --> 00:18:37,400 Speaker 1: And we have a situation that actually has been evolving 298 00:18:37,480 --> 00:18:40,520 Speaker 1: for three or four months. The extremely cold winter in 299 00:18:40,560 --> 00:18:44,720 Speaker 1: the northern plains, the record snow cover, the late snow melt, 300 00:18:44,800 --> 00:18:48,080 Speaker 1: combined with the enhanced precipitation in the plains means that 301 00:18:48,160 --> 00:18:52,520 Speaker 1: the Mississippi River is uncommonly high around New Orleans. Now, 302 00:18:52,560 --> 00:18:55,359 Speaker 1: if that situation did not occur, this is not that 303 00:18:55,560 --> 00:18:57,520 Speaker 1: big a deal for New Orleans. They're going to get 304 00:18:57,520 --> 00:18:59,880 Speaker 1: sixty to seventy mile an hour wind gusts they think, 305 00:19:00,400 --> 00:19:03,880 Speaker 1: and four to eight inches of rain. That's not that 306 00:19:03,920 --> 00:19:06,480 Speaker 1: big a problem for New Orleans. They've had storms like 307 00:19:06,520 --> 00:19:10,439 Speaker 1: that before. But because the Mississippi is so high, and 308 00:19:10,560 --> 00:19:13,720 Speaker 1: because the fetch off the ocean, and you folks to 309 00:19:13,800 --> 00:19:16,040 Speaker 1: the northeast know about what we call fetch, where there 310 00:19:16,119 --> 00:19:18,480 Speaker 1: is days of east winds coming in, they pile the 311 00:19:18,600 --> 00:19:21,280 Speaker 1: tide up. And what happens is that you're going to 312 00:19:21,320 --> 00:19:24,160 Speaker 1: get winds strong from the east late tonight tomorrow, into 313 00:19:24,160 --> 00:19:27,960 Speaker 1: the southeast on Saturday, in south on Sunday. That's going 314 00:19:28,000 --> 00:19:31,160 Speaker 1: to push water, try to push water up the Mississippi 315 00:19:31,440 --> 00:19:36,000 Speaker 1: as it's raining very heavily and with the rest of 316 00:19:36,000 --> 00:19:40,400 Speaker 1: the Mississippi flowing down toward it. So the potential here 317 00:19:40,920 --> 00:19:43,480 Speaker 1: is that out of a run of the mill tropical storms, 318 00:19:43,560 --> 00:19:47,919 Speaker 1: because of preexistent conditions, that New Orleans could have a 319 00:19:48,040 --> 00:19:51,800 Speaker 1: bad flood. Now right now, they are forecasting it to 320 00:19:51,920 --> 00:19:54,720 Speaker 1: be to not breach the levies. One foot below is 321 00:19:54,720 --> 00:19:56,840 Speaker 1: what they've got yesterday they were a little bit higher. 322 00:19:57,400 --> 00:20:01,520 Speaker 1: But I'm very concerned, especially looking at the US hurricane models, 323 00:20:01,560 --> 00:20:05,119 Speaker 1: which are you know, are emblematic of the problem we 324 00:20:05,200 --> 00:20:09,080 Speaker 1: have in forecasting that they're trying to blow the storm 325 00:20:09,160 --> 00:20:11,560 Speaker 1: up and take it right over New Orleans. So there's 326 00:20:11,560 --> 00:20:14,760 Speaker 1: a lot of uncertainty here. And what we are doing 327 00:20:14,960 --> 00:20:17,040 Speaker 1: is the same thing we've been doing all week is 328 00:20:17,080 --> 00:20:19,440 Speaker 1: telling people that we believe this is going to come 329 00:20:19,440 --> 00:20:21,920 Speaker 1: inland and it is a threat for New Orleans, Houston. 330 00:20:22,080 --> 00:20:24,400 Speaker 1: I don't think you have to worry about much at all. 331 00:20:24,800 --> 00:20:27,879 Speaker 1: So that's that's a positive that this is not coming 332 00:20:27,920 --> 00:20:32,280 Speaker 1: all the way back to Houston. Well, when I'm trying 333 00:20:32,320 --> 00:20:36,280 Speaker 1: to impact and absorb what you're saying about New Orleans, 334 00:20:36,320 --> 00:20:40,680 Speaker 1: because I know, I mean, we went through Hurricane Katrina. 335 00:20:40,800 --> 00:20:45,200 Speaker 1: Now you're talking about what rising tide because of the rainfall. 336 00:20:46,000 --> 00:20:49,240 Speaker 1: Let's say it's twelve to eighteen inches that then breach 337 00:20:49,359 --> 00:20:52,400 Speaker 1: the levies and that means it gets studded. If they 338 00:20:52,440 --> 00:20:55,240 Speaker 1: get twelve eighteen inches of rain over New Orleans with 339 00:20:55,280 --> 00:21:00,240 Speaker 1: the southerly winds, southeast south winds blowing for two two 340 00:21:00,320 --> 00:21:02,520 Speaker 1: three days, even with the storm going west of them, 341 00:21:02,800 --> 00:21:06,480 Speaker 1: that is going to be a huge problem. But there's 342 00:21:06,520 --> 00:21:09,680 Speaker 1: so much variance here, and you know, Sean, in our 343 00:21:09,680 --> 00:21:12,159 Speaker 1: preseason forecast we issued in April, we said, this is 344 00:21:12,200 --> 00:21:14,800 Speaker 1: precisely the kind of storm to look for this year. 345 00:21:15,080 --> 00:21:17,240 Speaker 1: May not be a lot coming off Africa, but the 346 00:21:17,240 --> 00:21:20,119 Speaker 1: ones that pop in your backyard. You may see something 347 00:21:20,240 --> 00:21:24,720 Speaker 1: pop in our backyard or relatively close before this season's over. 348 00:21:24,840 --> 00:21:27,119 Speaker 1: That's the kind of year it is. So you know, 349 00:21:27,119 --> 00:21:29,719 Speaker 1: we've sort of been waiting for this to start showing up. 350 00:21:29,760 --> 00:21:32,800 Speaker 1: This kind of system. This didn't originate over tropics. It 351 00:21:32,840 --> 00:21:35,600 Speaker 1: came down out of the northwest Alicia by the way, 352 00:21:35,600 --> 00:21:38,640 Speaker 1: for you folks in Texas in nineteen eighty three, that 353 00:21:38,800 --> 00:21:41,919 Speaker 1: was a Category three hurricane originated the same way. It 354 00:21:42,000 --> 00:21:44,440 Speaker 1: was a land system that came down over the Gulf 355 00:21:44,480 --> 00:21:47,960 Speaker 1: and turned west. So what we're telling people is this 356 00:21:48,440 --> 00:21:51,520 Speaker 1: that there is a lot of potential in New Orleans 357 00:21:51,760 --> 00:21:54,560 Speaker 1: for some real bad things to happen. I'm not going 358 00:21:54,600 --> 00:21:58,160 Speaker 1: to sugarcoat that in the best case scenario. I think 359 00:21:58,200 --> 00:22:00,919 Speaker 1: the best case is being outlined now now in that 360 00:22:01,480 --> 00:22:03,520 Speaker 1: it will stay below the levees, and they're going to 361 00:22:03,600 --> 00:22:06,680 Speaker 1: have a tropical storm. The hurricane part of this, because 362 00:22:06,680 --> 00:22:09,040 Speaker 1: we do believe it will become a hurricane, will head 363 00:22:09,040 --> 00:22:11,919 Speaker 1: off to Vermillion Bay and up over Lafayette to the 364 00:22:11,920 --> 00:22:15,280 Speaker 1: west over there. But you've been down there before. You 365 00:22:15,320 --> 00:22:18,600 Speaker 1: know how low lying that land is, how susceptible it 366 00:22:18,680 --> 00:22:22,280 Speaker 1: is to flooding. So it is a headache. Well you 367 00:22:22,440 --> 00:22:25,120 Speaker 1: just you know, I just in my own mind, would 368 00:22:25,160 --> 00:22:28,080 Speaker 1: think after everything that New Orleans has been through, that 369 00:22:28,160 --> 00:22:31,080 Speaker 1: they would have built the levees a little higher. Now 370 00:22:31,359 --> 00:22:34,240 Speaker 1: they got listen. I gotta tell you something. After Katrina 371 00:22:34,359 --> 00:22:37,440 Speaker 1: hit I wrote a paper called you know about why 372 00:22:38,200 --> 00:22:40,959 Speaker 1: no matter what they do in New Orleans, the wrong 373 00:22:41,160 --> 00:22:44,000 Speaker 1: storm is going to flood them. There's a storm in 374 00:22:44,119 --> 00:22:47,200 Speaker 1: nineteen forty seven shown that came in from the east southeast. 375 00:22:47,200 --> 00:22:49,480 Speaker 1: It hit West Palm as a category four or five, 376 00:22:50,000 --> 00:22:51,920 Speaker 1: was only a one or two when it came back 377 00:22:51,960 --> 00:22:55,919 Speaker 1: to New Orleans. I look at that track, that track 378 00:22:56,000 --> 00:22:58,880 Speaker 1: back where it makes landfall just north of the mouth 379 00:22:58,880 --> 00:23:01,120 Speaker 1: of the Mississippi and push is all the water back 380 00:23:01,119 --> 00:23:03,760 Speaker 1: into Lake Bourne and Lake ponta train. If you had 381 00:23:03,840 --> 00:23:06,800 Speaker 1: a storm as strong as Katrina take that path into 382 00:23:06,880 --> 00:23:10,680 Speaker 1: New Orleans. I think a Bill Levy's twenty five thirty feet. 383 00:23:10,720 --> 00:23:13,639 Speaker 1: It's not going to stop it. Remember Katrina, the storm 384 00:23:13,720 --> 00:23:17,320 Speaker 1: surge was only nine to thirteen feet back into Ponta 385 00:23:17,359 --> 00:23:19,680 Speaker 1: Train and it's not like It's not like a kind 386 00:23:19,680 --> 00:23:23,280 Speaker 1: of storm surge that they had in Biloxi in East Gulfport. 387 00:23:23,359 --> 00:23:28,520 Speaker 1: The biggest problem here though, is caused by the Mississippi 388 00:23:28,680 --> 00:23:34,000 Speaker 1: being so high and relative to averages in the summer season, 389 00:23:34,080 --> 00:23:38,600 Speaker 1: it's not usually this high, and that particular aspect was 390 00:23:38,640 --> 00:23:42,160 Speaker 1: set up two thirty four months ago. And in addition, 391 00:23:42,440 --> 00:23:45,720 Speaker 1: it's exactly opposite of what was being pushed in the 392 00:23:45,720 --> 00:23:49,040 Speaker 1: climate change of agenda that we were going to start 393 00:23:49,040 --> 00:23:52,960 Speaker 1: seeing droughts all over the place. And so it's amazing 394 00:23:53,040 --> 00:23:55,840 Speaker 1: because you're seeing people come out of the woodwork high here. 395 00:23:55,840 --> 00:23:57,840 Speaker 1: It is climate change. This is a run of the 396 00:23:57,880 --> 00:24:00,280 Speaker 1: mill development in the northern Gulf of me to go. 397 00:24:00,680 --> 00:24:03,520 Speaker 1: Compounded by the fact that instead of being so darned 398 00:24:03,600 --> 00:24:06,960 Speaker 1: warm in the spring, it was wickedly cold in the plains. 399 00:24:07,000 --> 00:24:09,600 Speaker 1: That's set up the battle for heavy precipitation. You had 400 00:24:09,680 --> 00:24:13,560 Speaker 1: late melting snow and you know it's dangerously close to 401 00:24:13,640 --> 00:24:16,800 Speaker 1: causing a big problem. Well with this, tomorrow is happening. 402 00:24:16,920 --> 00:24:20,920 Speaker 1: The official meteorologist of the Sean Hannity Shows WeatherBell dot Com, 403 00:24:21,680 --> 00:24:25,720 Speaker 1: Joe Bastardi. You've got an encyclopedic knowledge of every storm 404 00:24:25,880 --> 00:24:30,000 Speaker 1: every year that goes back to the sixteen hundreds. Anyway 405 00:24:30,080 --> 00:24:32,480 Speaker 1: about all I can do? Though, No, you can lift 406 00:24:32,480 --> 00:24:36,720 Speaker 1: weights pretty well. Joe's a big weightlifter and bodybuilder. All right, 407 00:24:36,800 --> 00:24:39,240 Speaker 1: Joe BISTARTI thank you, my friend. Eight hundred nine point 408 00:24:39,240 --> 00:24:43,080 Speaker 1: one shunk. All right, So you got this. We've got 409 00:24:43,119 --> 00:24:46,000 Speaker 1: three separate civil wars breaking out. You got the deep 410 00:24:46,040 --> 00:24:48,760 Speaker 1: State all turning on each other, and by that, I 411 00:24:48,760 --> 00:24:51,280 Speaker 1: mean you got Struck and Page they're turning. Well, they 412 00:24:51,359 --> 00:24:55,120 Speaker 1: might be turning on each other interestingly, but certainly they 413 00:24:55,320 --> 00:24:58,840 Speaker 1: have unitated and pointing the finger at the Attorney General 414 00:24:58,960 --> 00:25:02,639 Speaker 1: Loretta Lynch at the time. Then you've got Comy. Comey's 415 00:25:02,680 --> 00:25:06,080 Speaker 1: at war with Brennan and Clapper and there at war 416 00:25:06,200 --> 00:25:10,400 Speaker 1: with him. Then Comey's battling McCabe, and then Baker's battling 417 00:25:10,400 --> 00:25:12,919 Speaker 1: all of them. And I think the net result of 418 00:25:12,960 --> 00:25:15,560 Speaker 1: it is people are starting to talk, and we're now 419 00:25:15,640 --> 00:25:19,119 Speaker 1: getting finally to the deep dive part and the truth, 420 00:25:19,600 --> 00:25:21,919 Speaker 1: which is going to be very interesting. Those that are 421 00:25:21,960 --> 00:25:25,200 Speaker 1: held accountable for this abuse of power and corruption. Then 422 00:25:25,240 --> 00:25:30,000 Speaker 1: you've got the Acasio Cortez I mean she accused Pelosi 423 00:25:30,240 --> 00:25:36,760 Speaker 1: literally persistently singling out women of color. It's outright disrespectful 424 00:25:37,560 --> 00:25:42,280 Speaker 1: coming on the heels of Nancy Pelosi playing the race 425 00:25:42,359 --> 00:25:47,240 Speaker 1: card against the President and Republicans on the census question. Now, 426 00:25:47,320 --> 00:25:50,159 Speaker 1: there is something that is happening with the twenty twenty 427 00:25:50,240 --> 00:25:52,919 Speaker 1: leftist socialist DEFF. They all agree pretty much on some 428 00:25:53,119 --> 00:25:56,440 Speaker 1: version of the New Green Deal. They all agree that 429 00:25:56,480 --> 00:25:59,680 Speaker 1: they want illegal immigrants to get free healthcare. They all 430 00:25:59,720 --> 00:26:04,520 Speaker 1: look agree that borders are immoral. They all agree on 431 00:26:04,920 --> 00:26:08,400 Speaker 1: pretty much. They all want to raise taxes. They all 432 00:26:08,440 --> 00:26:10,879 Speaker 1: want to raise taxes on businesses. Does anyone know the 433 00:26:10,960 --> 00:26:16,800 Speaker 1: corporations pass the increase in taxes onto consumers or if 434 00:26:16,840 --> 00:26:19,800 Speaker 1: you go to a ninety percent corporate marginal income tax rate, 435 00:26:20,119 --> 00:26:22,880 Speaker 1: They're gonna leave the country. And if you have any 436 00:26:22,920 --> 00:26:25,320 Speaker 1: doubt of what I'm saying is true, ask yourself. Why 437 00:26:25,440 --> 00:26:30,720 Speaker 1: is New York, New Jersey, Illinois, California the highest tax 438 00:26:30,800 --> 00:26:34,359 Speaker 1: states in the country. Why are they losing population to 439 00:26:34,520 --> 00:26:39,320 Speaker 1: all the low tax states like Florida, Texas, Tennessee, the 440 00:26:39,440 --> 00:26:45,480 Speaker 1: Carolinas wherever. Why because of burdensome taxation and regulation. Tax 441 00:26:45,520 --> 00:26:49,119 Speaker 1: the rich, tax, the rich, tax the rich. We did now, 442 00:26:49,800 --> 00:26:53,480 Speaker 1: God forbid the rich leave. They're leaving two point three 443 00:26:53,560 --> 00:26:56,480 Speaker 1: billion dollars shortfall in New York. By the way, Andrew 444 00:26:56,520 --> 00:26:59,800 Speaker 1: Cuomo can get out of any financial difficulty in thirty seconds. 445 00:27:00,320 --> 00:27:03,320 Speaker 1: Just sign off on fracking and upstate New York. The 446 00:27:03,359 --> 00:27:05,360 Speaker 1: best thing you ever did for the state. I don't 447 00:27:05,400 --> 00:27:09,320 Speaker 1: think he's gonna do it anyway. So now we've got 448 00:27:10,280 --> 00:27:13,720 Speaker 1: so the leading pack in the field just certainly emerged. 449 00:27:13,760 --> 00:27:17,640 Speaker 1: It still remains sleepy, creepy, crazy Uncle Joe. Then you've 450 00:27:17,680 --> 00:27:22,280 Speaker 1: got the worst mayor. Well, he's given Comrade de Blasio 451 00:27:22,440 --> 00:27:25,000 Speaker 1: run for his money. But you know, you got Buddha 452 00:27:25,119 --> 00:27:29,000 Speaker 1: Judge mayor Pete, who has the worst track record of 453 00:27:29,040 --> 00:27:31,760 Speaker 1: a small town mayor. I've ever heard not that South Bend, 454 00:27:31,800 --> 00:27:35,480 Speaker 1: Indiana small, But it is small, and it's a nice town. 455 00:27:35,640 --> 00:27:37,480 Speaker 1: It's a home of Notre Dame. I mean it's great. 456 00:27:38,080 --> 00:27:41,960 Speaker 1: And you got Kamala Harris who scored big points beating 457 00:27:42,000 --> 00:27:44,680 Speaker 1: down Joe. But then pulling away. Remember, Harris says, there's 458 00:27:44,680 --> 00:27:46,440 Speaker 1: going to be no private insurance. We're all going to 459 00:27:46,520 --> 00:27:50,000 Speaker 1: be under medicare for all. Bernie Sanders bragging that he 460 00:27:50,520 --> 00:27:53,600 Speaker 1: now has brought the entire Democratic Party over to his 461 00:27:53,680 --> 00:27:58,119 Speaker 1: positions that are a mainstream, the socialist mainstreamer. And then 462 00:27:58,160 --> 00:28:02,119 Speaker 1: of course Elizabeth Warren. You know, combined they raised one 463 00:28:02,160 --> 00:28:05,240 Speaker 1: hundred million dollars in the past three months and they 464 00:28:05,280 --> 00:28:08,320 Speaker 1: share the majority of the public support. Anyway, so now 465 00:28:08,320 --> 00:28:10,320 Speaker 1: you got Biden says, all right, let me change the topic. 466 00:28:10,359 --> 00:28:13,240 Speaker 1: He's talking about foreign policy. The same guy that gave 467 00:28:13,280 --> 00:28:15,520 Speaker 1: one hundred and fifty billion to mullahs that chant death 468 00:28:15,520 --> 00:28:19,280 Speaker 1: to America, death to Israel. You got Buddha Judge proposing 469 00:28:19,320 --> 00:28:24,199 Speaker 1: a broad plan to counter what he's calling racial inequality 470 00:28:24,520 --> 00:28:29,360 Speaker 1: and establish a ten billion dollar fund for black entrepreneurs 471 00:28:29,400 --> 00:28:33,240 Speaker 1: over five years, twenty five billion in historic for historically 472 00:28:33,240 --> 00:28:39,120 Speaker 1: black colleges, legalized marijuana, expunge pass drug convictions, reduced the 473 00:28:39,160 --> 00:28:42,680 Speaker 1: prison population by half, and pass a new voting rights 474 00:28:42,680 --> 00:28:47,160 Speaker 1: act to empower etc. Etc. Anyway, and comparing it to 475 00:28:47,200 --> 00:28:50,800 Speaker 1: a Marshall plan, and which is the equivalent about one 476 00:28:50,880 --> 00:28:54,920 Speaker 1: hundred billion dollars at current value. Then you got Kamala Harris. 477 00:28:55,280 --> 00:28:59,440 Speaker 1: She decided to team up with Alexandria Acasio Cortez on 478 00:29:00,440 --> 00:29:03,800 Speaker 1: a housing legislation, and we don't have a price to 479 00:29:03,800 --> 00:29:06,440 Speaker 1: ticket on that. Then we have the Blasio saying I'm 480 00:29:06,440 --> 00:29:14,920 Speaker 1: gonna pay all pay female athletes equally if elected president. Well, okay, 481 00:29:15,480 --> 00:29:17,640 Speaker 1: but I didn't know the government paid athletes, so I 482 00:29:17,680 --> 00:29:21,160 Speaker 1: thought teams paid athletes. I guess they'll determine that too. 483 00:29:21,720 --> 00:29:24,200 Speaker 1: And by the way, New York is proposing building brand 484 00:29:24,200 --> 00:29:28,800 Speaker 1: new jails with a more welcoming experience that will replace 485 00:29:28,960 --> 00:29:32,520 Speaker 1: Rikers Island. I'll have jails with natural sunlight, space for 486 00:29:32,680 --> 00:29:38,000 Speaker 1: programming and a children's play area for the prisoners. And 487 00:29:38,320 --> 00:29:42,200 Speaker 1: that's what they're proposing. And I'm not making this up. 488 00:29:42,640 --> 00:29:46,400 Speaker 1: Somehow something to do it before two thousand and eight. 489 00:29:46,800 --> 00:29:49,440 Speaker 1: As if my opponents want to believe, I served from 490 00:29:49,520 --> 00:29:51,360 Speaker 1: nineteen seventy two to two thousand and eight and then 491 00:29:51,400 --> 00:29:55,720 Speaker 1: took hiatus the next eight years. They don't want to 492 00:29:55,760 --> 00:29:59,320 Speaker 1: talk much about my time as vice president. Nine states. 493 00:30:00,440 --> 00:30:03,360 Speaker 1: It was the honor of my lifetime to serve with 494 00:30:03,520 --> 00:30:06,960 Speaker 1: the man who I believe is a great president, historic figure, 495 00:30:07,000 --> 00:30:11,120 Speaker 1: and most important to me a close friend. I was vetted. 496 00:30:13,280 --> 00:30:17,200 Speaker 1: I was bettered by he and ten serious lawyers he 497 00:30:17,280 --> 00:30:20,520 Speaker 1: appointed to go back and to look at every single 498 00:30:20,520 --> 00:30:24,280 Speaker 1: thing in my background, from finances to anything. I had 499 00:30:24,320 --> 00:30:29,240 Speaker 1: done everything, and he selected me. I'll take his judgment 500 00:30:29,280 --> 00:30:32,080 Speaker 1: about my record, my character, my ability to handle a job, 501 00:30:32,080 --> 00:30:37,400 Speaker 1: over anyone else's. I know there many I want this 502 00:30:37,520 --> 00:30:41,840 Speaker 1: campaign to me by my past, my past, my past. 503 00:30:42,520 --> 00:30:45,920 Speaker 1: I get it, that's the game. But this isn't a game. 504 00:30:46,880 --> 00:30:49,760 Speaker 1: Every one of you, no matter who you're for, no 505 00:30:50,040 --> 00:30:54,040 Speaker 1: in your bones, this election is different, not because I'm running. 506 00:30:54,160 --> 00:31:00,160 Speaker 1: This election is different. Here we are in Nashville. I 507 00:31:00,200 --> 00:31:03,240 Speaker 1: know this from my home state of Texas, those places 508 00:31:03,280 --> 00:31:07,479 Speaker 1: that formed the Confederacy, that this country was founded on 509 00:31:07,640 --> 00:31:12,720 Speaker 1: white supremacy, and every single institution and structure that we 510 00:31:12,800 --> 00:31:16,000 Speaker 1: have in our country still reflects the legacy of slavery 511 00:31:16,000 --> 00:31:20,800 Speaker 1: and segregation in Jim Crow and suppression even in our democracy, 512 00:31:20,920 --> 00:31:24,800 Speaker 1: ability to vote and participate in our elections. All right. 513 00:31:24,840 --> 00:31:29,760 Speaker 1: That was Robert Francis Beto Bozo O'Rourke, glad you're with us, 514 00:31:29,800 --> 00:31:32,080 Speaker 1: eight hundred and nine for one sean. Before that, it 515 00:31:32,160 --> 00:31:35,680 Speaker 1: was sleepy, creepy, crazy uncle Joe, now, by the way, 516 00:31:35,760 --> 00:31:39,600 Speaker 1: finally got his footing. It took him three weeks after 517 00:31:39,640 --> 00:31:42,000 Speaker 1: the Kamala Harris beat down. But now he's come up 518 00:31:42,000 --> 00:31:46,360 Speaker 1: with the line and he's delivering it with such passion. Anyway, 519 00:31:46,480 --> 00:31:49,560 Speaker 1: got a lot to get to a couple of things. 520 00:31:49,560 --> 00:31:51,880 Speaker 1: You gotta know here, Oh, I forgot to mention, you know, 521 00:31:52,000 --> 00:31:55,880 Speaker 1: Nancy Pelosi is giving illegal immigrants tips on how to 522 00:31:55,920 --> 00:31:59,080 Speaker 1: evade ice agents. It's just kind of a new low. 523 00:31:59,120 --> 00:32:01,880 Speaker 1: But sanctuary cities and states kind of do the same 524 00:32:01,920 --> 00:32:06,959 Speaker 1: thing as you're aiding and abetting in criminal activity. But anyway, 525 00:32:06,960 --> 00:32:11,200 Speaker 1: in a press conference earlier today, after the real speaker, 526 00:32:11,280 --> 00:32:14,880 Speaker 1: she's speaker in name only, Acasio Cortez ripped her for 527 00:32:15,000 --> 00:32:18,760 Speaker 1: pretty much being racist and going after only women of color. Anyway, 528 00:32:18,800 --> 00:32:22,280 Speaker 1: press conference earlier today, Pelosi actually told the illegal immigrants 529 00:32:22,600 --> 00:32:26,680 Speaker 1: they don't need to answer the door if ice comes knocking, 530 00:32:26,760 --> 00:32:29,680 Speaker 1: because a deportation warrant is not the same as a 531 00:32:29,760 --> 00:32:34,400 Speaker 1: search warrant. I mean, these are supposed to be lawmakers. 532 00:32:35,280 --> 00:32:37,880 Speaker 1: If you don't like the law, if you don't like 533 00:32:38,120 --> 00:32:41,800 Speaker 1: the constitution, it just can't make it up as you go. 534 00:32:42,240 --> 00:32:48,080 Speaker 1: That's not how a civil society a constitutional republic actually works. 535 00:32:48,680 --> 00:32:51,120 Speaker 1: But I'm sure that that's just new news to her. 536 00:32:51,200 --> 00:32:55,920 Speaker 1: She probably doesn't even know anyway. So we do have 537 00:32:56,000 --> 00:32:58,800 Speaker 1: other sort of on the sidelines. We have some other 538 00:32:59,560 --> 00:33:02,680 Speaker 1: data that has come in for crazy creepy Uncle Joe. 539 00:33:02,760 --> 00:33:06,080 Speaker 1: Remember Biden and Obama left, and we had thirteen million 540 00:33:06,080 --> 00:33:09,280 Speaker 1: more Americans on food stamps, eight million more in poverty, 541 00:33:09,480 --> 00:33:13,320 Speaker 1: the worst recovery since the forties, lowest labor participation rates 542 00:33:13,320 --> 00:33:16,960 Speaker 1: since the seventies, more debt than all forty three presidents 543 00:33:16,960 --> 00:33:21,120 Speaker 1: and vice presidents before them combined. Okay, and they dropped 544 00:33:21,160 --> 00:33:25,560 Speaker 1: one hundred and fifty billion dollars, these geniuses known as 545 00:33:25,680 --> 00:33:29,440 Speaker 1: Biden Obama the one hundred and fifty billion dollars in 546 00:33:29,560 --> 00:33:34,520 Speaker 1: cash and other currencies on the tarmac of Tehron for 547 00:33:34,720 --> 00:33:39,000 Speaker 1: Muller's that chant death to America. You know, could the 548 00:33:39,120 --> 00:33:44,120 Speaker 1: convert or die leaders of Iran that have been sewing 549 00:33:44,720 --> 00:33:48,920 Speaker 1: proxy wars terrorism, funding terrorism for all these years. Yeah, 550 00:33:48,960 --> 00:33:52,880 Speaker 1: that's brilliant move on the part of creepy, sleepy, crazy 551 00:33:52,960 --> 00:33:57,600 Speaker 1: Uncle Joe and Obama. By the way, military poll out 552 00:33:57,640 --> 00:34:02,800 Speaker 1: by the Military Time shows ve Yeah, they overwhelmingly approve 553 00:34:02,880 --> 00:34:06,840 Speaker 1: of the president. That's not an appeaser. Wow, and by 554 00:34:06,880 --> 00:34:10,200 Speaker 1: the way, a near record in that particular poll. And 555 00:34:10,320 --> 00:34:13,040 Speaker 1: on top of it, yeah, what is helping the people 556 00:34:13,080 --> 00:34:16,360 Speaker 1: that are doing the best? Heritage Foundation puts out a 557 00:34:16,440 --> 00:34:18,719 Speaker 1: study and with the new unemployment numbers that came out 558 00:34:18,719 --> 00:34:23,000 Speaker 1: two hundred and twenty four thousand jobs created in June, unexpected, 559 00:34:23,040 --> 00:34:25,239 Speaker 1: of course like every other month. Now that we're headed 560 00:34:25,239 --> 00:34:28,760 Speaker 1: towards seven million new jobs under Donald Trump and seven 561 00:34:28,760 --> 00:34:34,240 Speaker 1: million fewer people on food stamps on the unemployment lines. 562 00:34:34,280 --> 00:34:37,040 Speaker 1: And of course now we know too from the census 563 00:34:37,080 --> 00:34:40,160 Speaker 1: that in fact there's seven point five million jobs unfilled 564 00:34:40,239 --> 00:34:43,600 Speaker 1: right now in the country. But just pointing it out 565 00:34:43,640 --> 00:34:46,440 Speaker 1: that the people that benefited the most out of this 566 00:34:46,600 --> 00:34:50,520 Speaker 1: climb and the economy of Donald Trump, when you actually 567 00:34:50,560 --> 00:34:53,760 Speaker 1: look for it, it is quote the US economy offers 568 00:34:53,800 --> 00:34:57,560 Speaker 1: new opportunities to people who have historically been left behind. 569 00:34:57,960 --> 00:35:01,760 Speaker 1: The left continues to push their radic agenda against American values. 570 00:35:01,800 --> 00:35:05,320 Speaker 1: The good news is there is a solution. Average wages 571 00:35:05,400 --> 00:35:09,400 Speaker 1: have grown above three percent now for ten straight months, 572 00:35:09,440 --> 00:35:13,160 Speaker 1: twice as fast as inflation since the tax cuts the 573 00:35:13,239 --> 00:35:17,160 Speaker 1: largest in history by Donald Trump. In twenty seventeen. Wage 574 00:35:17,200 --> 00:35:20,839 Speaker 1: growth for the poorest twenty five percent of Americans has 575 00:35:20,920 --> 00:35:25,200 Speaker 1: now reached a post recession high of four point four percent. 576 00:35:26,160 --> 00:35:29,840 Speaker 1: Don't forget ten percent of American taxpayers pay seventy percent 577 00:35:29,880 --> 00:35:33,400 Speaker 1: of the income tax bill, twenty percent over ninety percent. 578 00:35:33,440 --> 00:35:36,160 Speaker 1: The bottom fifty percent of wage earners pay no federal 579 00:35:36,160 --> 00:35:40,120 Speaker 1: income taxes, none, nothing, not a penny. So we have 580 00:35:40,239 --> 00:35:44,200 Speaker 1: full and complete redistribution. Now the question is as the 581 00:35:44,280 --> 00:35:49,080 Speaker 1: Democrats now begin to lay out their policies without specifics 582 00:35:49,080 --> 00:35:55,360 Speaker 1: and without costs, and all of them support illegal immigrants. Yeah, healthcare, 583 00:35:55,400 --> 00:35:58,200 Speaker 1: you're paying for it and everything in between. Now they're 584 00:35:58,200 --> 00:36:00,919 Speaker 1: aiding and abetting in sanctuary cities, states and everything else. 585 00:36:01,239 --> 00:36:03,480 Speaker 1: And you got creepy Uncle Joe now given a foreign 586 00:36:03,480 --> 00:36:06,160 Speaker 1: policy speech. He's the guy that helped the Mullahs in Iran. 587 00:36:06,680 --> 00:36:10,120 Speaker 1: And you got Buddha Judge proposing one hundred billion dollars 588 00:36:10,120 --> 00:36:13,319 Speaker 1: in a plan to counter racial inequality. And you got 589 00:36:13,360 --> 00:36:15,719 Speaker 1: Kamala Harris who says we're all going to be under 590 00:36:15,719 --> 00:36:20,520 Speaker 1: Medicare for all and no private insurance. How did Obamacare 591 00:36:20,600 --> 00:36:23,640 Speaker 1: keep your doctor plan and save money work out? It didn't. 592 00:36:24,000 --> 00:36:28,480 Speaker 1: And de Blasio Comrade Deblasio's pledging to pay female athletes 593 00:36:28,680 --> 00:36:33,240 Speaker 1: equally two men. I didn't know that the city's mayor 594 00:36:33,280 --> 00:36:37,640 Speaker 1: of New York was responsible for paying athletes for professional teams. 595 00:36:37,640 --> 00:36:41,120 Speaker 1: I actually thought the free market determined what a team 596 00:36:41,200 --> 00:36:44,360 Speaker 1: chooses to pay or not pay somebody. Anyway, here to 597 00:36:44,400 --> 00:36:46,800 Speaker 1: look at the latest polls. Where we are in this 598 00:36:47,480 --> 00:36:51,560 Speaker 1: twenty twenty election. John McLaughlin, Matt Towery are with us. 599 00:36:53,320 --> 00:36:55,319 Speaker 1: Welcome back both of you. And you're doing a great 600 00:36:55,360 --> 00:36:58,200 Speaker 1: job in retirement. Matt, as I can tell as you're. 601 00:36:58,880 --> 00:37:00,480 Speaker 1: You come on every time we ask you, and you 602 00:37:00,520 --> 00:37:03,960 Speaker 1: always have some good recent data to share. But you're 603 00:37:04,000 --> 00:37:06,399 Speaker 1: not working. We'll just pretend you're telling the truth on that. 604 00:37:06,520 --> 00:37:09,600 Speaker 1: But at least I'm in Atlanta today, Sean, all right, well, 605 00:37:09,640 --> 00:37:12,200 Speaker 1: good for you. All right. So here's here's the main question. 606 00:37:12,880 --> 00:37:18,280 Speaker 1: If you couple the New Green Deal, if you add 607 00:37:18,320 --> 00:37:22,480 Speaker 1: that to legal immigrants, healthcare being paid for, and everything 608 00:37:22,520 --> 00:37:27,040 Speaker 1: in between, versus the Trump economy, do these polls even 609 00:37:27,120 --> 00:37:32,000 Speaker 1: mean a single thing to you? To me, absolutely not. 610 00:37:33,040 --> 00:37:35,320 Speaker 1: I think right now we're in this time period where 611 00:37:35,960 --> 00:37:40,440 Speaker 1: tolling these various horse races between the billious Democratic candidates, 612 00:37:40,480 --> 00:37:44,080 Speaker 1: or even between the Democrats and the president are relatively meaningless. 613 00:37:44,080 --> 00:37:47,000 Speaker 1: I mean, we saw how quickly being shifted just from 614 00:37:47,000 --> 00:37:50,760 Speaker 1: the debate where Kamala Harris managed to land that blow 615 00:37:50,880 --> 00:37:54,359 Speaker 1: to Bide, and everything moved very quickly because of course 616 00:37:54,400 --> 00:37:58,120 Speaker 1: the media moved in that direction. Now we're seeing some 617 00:37:58,280 --> 00:38:00,680 Speaker 1: of a little bit of a drifting that Biden's up 618 00:38:00,680 --> 00:38:03,799 Speaker 1: by eleven points on average and real politics, none of 619 00:38:03,800 --> 00:38:06,719 Speaker 1: this really matters right now. But what does matter, Sean, 620 00:38:06,800 --> 00:38:09,759 Speaker 1: and I think it's very important, is that the overall 621 00:38:09,840 --> 00:38:12,600 Speaker 1: drift of the Democratic Party to the left, which is 622 00:38:12,800 --> 00:38:15,080 Speaker 1: very obvious from that debate and all the fall out, 623 00:38:15,520 --> 00:38:18,759 Speaker 1: I think that's assisting the president even more in his 624 00:38:18,800 --> 00:38:21,160 Speaker 1: approval ratings. Did you recall about three weeks ago when 625 00:38:21,200 --> 00:38:23,200 Speaker 1: we were on the airs, I said I felt like 626 00:38:23,440 --> 00:38:27,040 Speaker 1: in my gut that the president turned the corner and 627 00:38:27,120 --> 00:38:29,520 Speaker 1: that his approval ratings were moving up. And we've seen 628 00:38:29,600 --> 00:38:33,040 Speaker 1: that happen really accelerate after that test or that speat. 629 00:38:34,080 --> 00:38:37,640 Speaker 1: Do you see do you see anybody in your review? 630 00:38:37,719 --> 00:38:40,880 Speaker 1: John McLaughlin and I had this conversation when I was 631 00:38:40,880 --> 00:38:43,360 Speaker 1: on vacation last week with a number of people. Do 632 00:38:43,440 --> 00:38:46,080 Speaker 1: you see Donald Trump losing any of the vote from 633 00:38:46,120 --> 00:38:49,200 Speaker 1: twenty sixteen and do you think with record low unemployment 634 00:38:49,680 --> 00:38:54,960 Speaker 1: for the demographics such as African Americans, Hispanic Americans, Asian Americans, 635 00:38:54,960 --> 00:38:58,160 Speaker 1: women in the youth workforce, and youth unemployment, do you 636 00:38:58,200 --> 00:39:03,399 Speaker 1: see that he has the POTENTI until of gaining new voters. Absolutely? 637 00:39:03,440 --> 00:39:06,279 Speaker 1: I mean, I mean our strategy back in twenty sixteen, 638 00:39:06,120 --> 00:39:09,359 Speaker 1: when when ben Donald Trump the candidate, asked me how 639 00:39:09,360 --> 00:39:10,719 Speaker 1: are we going to win? I said, we were going 640 00:39:10,760 --> 00:39:13,320 Speaker 1: to excite new voters, and we brought out nine million 641 00:39:13,320 --> 00:39:15,840 Speaker 1: new voters. Then they had for a record historic turnout 642 00:39:15,840 --> 00:39:17,919 Speaker 1: of a hundred thirty nine million, and we were able 643 00:39:17,920 --> 00:39:19,880 Speaker 1: to defy the polls because we brought out new voters. 644 00:39:20,000 --> 00:39:21,520 Speaker 1: You're going to have the same effect now. And we 645 00:39:21,600 --> 00:39:24,640 Speaker 1: had sixty three million voters come out and support them 646 00:39:24,640 --> 00:39:27,719 Speaker 1: for president back in twenty sixteen. The strategy this time 647 00:39:28,239 --> 00:39:31,040 Speaker 1: is very clear that we've been, as mad As pointed out, 648 00:39:31,360 --> 00:39:35,000 Speaker 1: we've been grinding up moving up the president's job approval. 649 00:39:35,480 --> 00:39:38,000 Speaker 1: So even these biased polls, like if you go on 650 00:39:38,080 --> 00:39:40,279 Speaker 1: the Real Clear Politics average, you'll see all these polls 651 00:39:40,280 --> 00:39:42,239 Speaker 1: and they'll have his average at forty five for job 652 00:39:42,280 --> 00:39:44,800 Speaker 1: approval and if and the Liberals are freaking out because 653 00:39:44,880 --> 00:39:47,080 Speaker 1: you'll have the Washington Post saying we've got forty seven 654 00:39:47,080 --> 00:39:50,440 Speaker 1: percent job approval and these other ones. But they're registered voters. 655 00:39:50,480 --> 00:39:53,400 Speaker 1: So that's a universe of two arm forty million people 656 00:39:53,840 --> 00:39:55,759 Speaker 1: you'll have. Instead of one hundred and thirty nine million 657 00:39:55,760 --> 00:39:58,160 Speaker 1: people like we had twenty sixteen, you'll have one hundred 658 00:39:58,360 --> 00:40:01,399 Speaker 1: over one hundred forty maybe arrom fifty million people come out. 659 00:40:01,880 --> 00:40:05,919 Speaker 1: So the president is actually broadening his base as well 660 00:40:05,960 --> 00:40:09,120 Speaker 1: as do you see him losing all the people that 661 00:40:09,239 --> 00:40:11,680 Speaker 1: voted for him in twenty sixteen. Let's focus on three 662 00:40:11,719 --> 00:40:16,080 Speaker 1: states in particular, because I think it'll make all the difference. Pennsylvania, Wisconsin, 663 00:40:16,120 --> 00:40:20,800 Speaker 1: and Michigan. Of course, North Carolina, Ohio, Florida, they always matter, 664 00:40:21,040 --> 00:40:24,440 Speaker 1: But in those three states, you see anybody that can 665 00:40:24,480 --> 00:40:27,919 Speaker 1: take those states back for the Democrats gotten this group 666 00:40:27,920 --> 00:40:30,719 Speaker 1: because his met said, and you've pointed out they're going left. 667 00:40:31,080 --> 00:40:33,360 Speaker 1: I mean, the best thing we had was that the 668 00:40:33,440 --> 00:40:36,520 Speaker 1: last series of Democrat debates, I mean the Trump campaign, 669 00:40:36,520 --> 00:40:38,880 Speaker 1: I wanted to run them as an infomercial and just 670 00:40:39,000 --> 00:40:42,000 Speaker 1: keep looping them and letting people play. I mean that 671 00:40:42,600 --> 00:40:46,640 Speaker 1: the one question where the moderator asked the Democrats, would 672 00:40:46,640 --> 00:40:49,880 Speaker 1: you you know, do you support free healthcare for illegal immigrants? 673 00:40:49,920 --> 00:40:52,480 Speaker 1: And they all raise their hands. I mean there's people 674 00:40:52,520 --> 00:40:55,000 Speaker 1: out there in those states of years ago, in Pennsylvania 675 00:40:55,000 --> 00:40:58,920 Speaker 1: and Michigan, Wisconsin, they can't afford their own healthcare, and 676 00:40:59,000 --> 00:41:02,200 Speaker 1: now you wanted to tax them to pay for somebody 677 00:41:02,200 --> 00:41:05,440 Speaker 1: who's here illegally. I mean, the Democratic Party is really 678 00:41:05,480 --> 00:41:08,000 Speaker 1: going that's the second part of our strategies. Let them 679 00:41:08,160 --> 00:41:09,880 Speaker 1: go off to on the edge. Now let them I 680 00:41:09,920 --> 00:41:11,759 Speaker 1: don't know when they're digging a big hole, let them 681 00:41:11,800 --> 00:41:15,200 Speaker 1: dig it. I do think that they're now locked into 682 00:41:15,239 --> 00:41:18,200 Speaker 1: these positions that are so out of the mainstream. Matt Towery, 683 00:41:18,320 --> 00:41:21,720 Speaker 1: how big an impact? Well, I think it's a huge impact. 684 00:41:21,800 --> 00:41:25,160 Speaker 1: And to John's point, I mean, and I say, the presidents, 685 00:41:25,200 --> 00:41:27,200 Speaker 1: what could you have someone like John at Boston? Because 686 00:41:27,200 --> 00:41:29,879 Speaker 1: he gets it. This has to do with John. Why 687 00:41:29,920 --> 00:41:33,160 Speaker 1: are you sucking up to John? Don't don't who you're 688 00:41:34,120 --> 00:41:35,839 Speaker 1: I don't have to suck up to John anymore. I've 689 00:41:35,840 --> 00:41:39,240 Speaker 1: just happened, I know, because you're retired, just like I'm retired. 690 00:41:39,320 --> 00:41:42,239 Speaker 1: Keep going right, So anyway he would like it to have, 691 00:41:42,880 --> 00:41:45,880 Speaker 1: but but that haven't been said. It's about turnouts and 692 00:41:46,000 --> 00:41:48,520 Speaker 1: I think what's going to happen, Sean, and they've been 693 00:41:48,840 --> 00:41:51,200 Speaker 1: we talked about this before. I think that not only 694 00:41:51,239 --> 00:41:53,400 Speaker 1: are you going to see an increase in intensity and 695 00:41:53,480 --> 00:41:55,640 Speaker 1: turn out for the president, I think you're going to 696 00:41:55,680 --> 00:41:57,680 Speaker 1: see as they drifts further to the left. And I 697 00:41:57,680 --> 00:42:00,439 Speaker 1: think that's inevitable with this Democratic Party this time. You're 698 00:42:00,440 --> 00:42:02,400 Speaker 1: going to see states that John and I are not 699 00:42:02,480 --> 00:42:05,600 Speaker 1: even talking about right now that will drift more towards 700 00:42:05,640 --> 00:42:08,160 Speaker 1: President Trump. I think again, this is a Nixon the 701 00:42:08,280 --> 00:42:13,600 Speaker 1: govern type election scenario. I will put one little caveat there. 702 00:42:13,920 --> 00:42:17,080 Speaker 1: The only states that I'm concerned about are the demographically 703 00:42:17,160 --> 00:42:19,600 Speaker 1: challenged states, of which one of which I'm at today, 704 00:42:19,600 --> 00:42:23,200 Speaker 1: which is Georgia, because a state like this has seen 705 00:42:23,239 --> 00:42:25,520 Speaker 1: a shift in tur and just based on how people 706 00:42:25,560 --> 00:42:29,640 Speaker 1: vote demographically historically, Cobb County, which of course in our 707 00:42:29,680 --> 00:42:31,279 Speaker 1: old days, Sean, when you and I were doing the 708 00:42:31,360 --> 00:42:34,719 Speaker 1: New Ingrid Stain, Cobb was seventy percent Republicans. That would 709 00:42:34,760 --> 00:42:37,680 Speaker 1: vote sixty five to seventy percent Republican. It is likely 710 00:42:37,719 --> 00:42:40,480 Speaker 1: to be a Democratic county this next go around, which 711 00:42:40,480 --> 00:42:42,800 Speaker 1: gives you some idea of the change, and that is 712 00:42:42,840 --> 00:42:45,879 Speaker 1: a dramatic shift and I was there. I was there 713 00:42:45,880 --> 00:42:48,480 Speaker 1: when the state of Georgia went blue to red. So 714 00:42:48,800 --> 00:42:51,640 Speaker 1: I mean you saw the whole thing. So now most 715 00:42:51,640 --> 00:42:55,680 Speaker 1: people expect, well, the majority of the legislative delegation, which 716 00:42:55,719 --> 00:42:57,400 Speaker 1: I was a part of years ago as a Republican, 717 00:42:57,600 --> 00:43:00,360 Speaker 1: is now Democrat in Cobb County. Yeah, all right, I 718 00:43:00,360 --> 00:43:03,320 Speaker 1: gotta I gotta take a break more with Matt Towery 719 00:43:03,560 --> 00:43:14,759 Speaker 1: and John McLaughlin, our posters. All right, let's we roll 720 00:43:14,800 --> 00:43:18,479 Speaker 1: along Sean Hannity show our posters taking the polls every 721 00:43:18,520 --> 00:43:21,000 Speaker 1: couple of weeks or so. Matt Towery, John McLaughlin, all right, 722 00:43:21,040 --> 00:43:25,239 Speaker 1: if you had the guests now today, John McLaughlin, what's 723 00:43:25,280 --> 00:43:28,960 Speaker 1: the Democratic ticket? I think right now he's going to 724 00:43:29,000 --> 00:43:33,080 Speaker 1: see a battle between Harrison Warren for the nomination. A lot. 725 00:43:33,160 --> 00:43:34,759 Speaker 1: There's a lot of things that can happen between now 726 00:43:34,760 --> 00:43:37,120 Speaker 1: and then. But in the past, remember we talked about Biden. 727 00:43:37,160 --> 00:43:40,240 Speaker 1: Biden has collapsed from May ninth, from forty one percent 728 00:43:40,280 --> 00:43:44,120 Speaker 1: in the peak of the Real Clear Politics average fourteen points, 729 00:43:44,120 --> 00:43:47,520 Speaker 1: where he's down to twenty seven percent on the average, 730 00:43:47,920 --> 00:43:50,440 Speaker 1: and he's gonna collapse even more because they're really picking 731 00:43:50,480 --> 00:43:53,319 Speaker 1: on him, and there's been a secondary collapse. Sanders has 732 00:43:53,360 --> 00:43:55,680 Speaker 1: gone from twenty four percent back in March down to 733 00:43:55,760 --> 00:43:58,719 Speaker 1: fifteen percent now. And you've got Harrison's fifteen to Warren 734 00:43:58,719 --> 00:44:02,520 Speaker 1: and fourteen six ten Democrat prior voters happened to be women, 735 00:44:02,840 --> 00:44:04,760 Speaker 1: and a good number of them happened to be African 736 00:44:04,800 --> 00:44:08,640 Speaker 1: American women. So you're about to see this, all right, 737 00:44:08,760 --> 00:44:11,520 Speaker 1: fight coming up? Matt, What do you think we got 738 00:44:11,560 --> 00:44:15,600 Speaker 1: about forty five seconds? Okay? I said two months ago, Harris, 739 00:44:15,600 --> 00:44:18,280 Speaker 1: I'm sticking with Harris. I think she'll probably be the nominee. 740 00:44:18,800 --> 00:44:21,080 Speaker 1: The running they would be. I would agree that Warren 741 00:44:21,120 --> 00:44:23,640 Speaker 1: would be right up there close though, because she's a fighter, 742 00:44:23,680 --> 00:44:25,560 Speaker 1: and I do think it'll be a woman who's a 743 00:44:25,640 --> 00:44:30,160 Speaker 1: nominated I'm going to agree right now advantage Kamala Harris, 744 00:44:30,520 --> 00:44:34,440 Speaker 1: but I think her extreme positions when exposs are going 745 00:44:34,480 --> 00:44:37,680 Speaker 1: to prevent her from ever winning the presidency. I agreed. 746 00:44:37,960 --> 00:44:41,120 Speaker 1: I agreed, um, and watch out disagree, Watch out for 747 00:44:41,200 --> 00:44:45,000 Speaker 1: Buddha judge. What you who disagrees gon bo Buddha judge 748 00:44:45,040 --> 00:44:48,040 Speaker 1: is ant going anywhere? No, I absolutely, I can't disagree. 749 00:44:48,040 --> 00:44:50,200 Speaker 1: And you know what, in the end, the winner is 750 00:44:50,200 --> 00:44:52,560 Speaker 1: going to be Donald Trump. I've been saying this for 751 00:44:52,600 --> 00:44:54,920 Speaker 1: a while, and you've been saying it, Matt's been saying it, 752 00:44:55,200 --> 00:44:57,960 Speaker 1: and now you're seeing it come about. And uh, we've 753 00:44:57,960 --> 00:45:00,279 Speaker 1: got a long ways to go, but the environment here, 754 00:45:01,040 --> 00:45:03,560 Speaker 1: quick break, we'll come back. We'll continue your calls coming 755 00:45:03,600 --> 00:45:12,560 Speaker 1: up twenty five now to the top of the hour. 756 00:45:12,560 --> 00:45:15,680 Speaker 1: Eight nine one Seawan is our toll free telephone number. 757 00:45:15,719 --> 00:45:17,560 Speaker 1: I'd like it. What has been going on most of 758 00:45:17,600 --> 00:45:19,840 Speaker 1: the day here? Today they add the free speech summit 759 00:45:20,520 --> 00:45:22,800 Speaker 1: at the White House, which is all that you're referring 760 00:45:22,840 --> 00:45:24,839 Speaker 1: to us and our hard work. Sorry, okay, you're doing 761 00:45:24,840 --> 00:45:29,400 Speaker 1: a great job. And now why is this free speech summit? 762 00:45:29,480 --> 00:45:34,480 Speaker 1: If if these big massive tech companies, let's let's take 763 00:45:34,719 --> 00:45:39,239 Speaker 1: Project Veritas and Google and the tape of James O'Keefe, 764 00:45:39,360 --> 00:45:42,759 Speaker 1: if they have the ability to control the content of 765 00:45:42,800 --> 00:45:45,840 Speaker 1: what they put up as news on their sites, and 766 00:45:45,920 --> 00:45:52,120 Speaker 1: they suppress other news, and they they literally set algorithms. Again, 767 00:45:52,160 --> 00:45:56,120 Speaker 1: this is outside of my area of expertise. I can 768 00:45:56,160 --> 00:45:59,360 Speaker 1: barely download an app, but I get it done somehow. 769 00:46:00,880 --> 00:46:06,200 Speaker 1: Lendah my kids. Somebody helped me download an app. Um. 770 00:46:06,960 --> 00:46:10,920 Speaker 1: But if they get this is the biggest in kind 771 00:46:11,080 --> 00:46:15,200 Speaker 1: donation ever when you're talking about how many was it 772 00:46:15,560 --> 00:46:20,279 Speaker 1: every second? Six million plus people on Google? Stan, boy, 773 00:46:20,440 --> 00:46:23,000 Speaker 1: let me get the boy. Are we waiting for the 774 00:46:23,040 --> 00:46:25,919 Speaker 1: New Yorker to google it up? Go to Google first 775 00:46:25,920 --> 00:46:28,960 Speaker 1: of all dot com. I'll be looking on handy dot 776 00:46:29,320 --> 00:46:31,360 Speaker 1: dot dot com. Yeah, we've been to put the statistics 777 00:46:31,440 --> 00:46:35,120 Speaker 1: up there. Welcome. But every single time, every second of 778 00:46:35,200 --> 00:46:38,560 Speaker 1: every minute of every hour of every day, if they're 779 00:46:38,560 --> 00:46:42,040 Speaker 1: controlling the content, well, and they're doing it to favor 780 00:46:42,120 --> 00:46:46,080 Speaker 1: one political party, one ideology over another, that is an 781 00:46:46,200 --> 00:46:50,960 Speaker 1: in kind contribution, a massive one because of the numb 782 00:46:51,080 --> 00:46:53,120 Speaker 1: right here. And is he you're ready? I'm ready. I'm sorry, 783 00:46:53,280 --> 00:46:58,120 Speaker 1: it's walking. Go ahead. Google receives over sixty three thousand 784 00:46:58,120 --> 00:47:01,480 Speaker 1: searches per second on any give and day. Say that again. 785 00:47:01,680 --> 00:47:06,759 Speaker 1: Google receives over sixty three thousand searches per second on 786 00:47:06,960 --> 00:47:11,880 Speaker 1: any given day. Wow, that's a lot of searches. So 787 00:47:11,960 --> 00:47:15,239 Speaker 1: the algorithm. This is why that Project Veritas tape was 788 00:47:15,280 --> 00:47:20,240 Speaker 1: so good. It exposed their agenda. It all looks strewed 789 00:47:20,280 --> 00:47:25,200 Speaker 1: over twenty sixteen. Again, it wasn't like people got stewed over. 790 00:47:25,480 --> 00:47:28,400 Speaker 1: The news got strewed over, like everybody got stewed over, 791 00:47:28,440 --> 00:47:33,719 Speaker 1: so they were robbing the Jingini is the head of 792 00:47:33,760 --> 00:47:38,719 Speaker 1: Responsible Innovation at Google Global Affairs. She determines policy and 793 00:47:38,760 --> 00:47:43,720 Speaker 1: ethics for machine learning or artificial intelligence. What we've learned 794 00:47:43,960 --> 00:47:48,160 Speaker 1: is that AI is increasingly what Google search is all about. 795 00:47:48,840 --> 00:47:51,719 Speaker 1: But the reason the entree tells me the people are 796 00:47:51,719 --> 00:47:56,520 Speaker 1: not putting that line in the saying who were like, well, 797 00:47:56,560 --> 00:48:00,440 Speaker 1: we are who are going to say it as a 798 00:48:00,520 --> 00:48:09,640 Speaker 1: bias that the story marginalized maybees who are maybe these 799 00:48:09,680 --> 00:48:17,880 Speaker 1: who are in power. Our definition of fairness one of 800 00:48:17,920 --> 00:48:19,920 Speaker 1: those things that we thought would mean like obvious and 801 00:48:19,920 --> 00:48:27,320 Speaker 1: everybody would agree to the same. People's voting for the 802 00:48:27,440 --> 00:48:32,160 Speaker 1: current president do not agree with their national harness. Fairness 803 00:48:32,880 --> 00:48:36,400 Speaker 1: is a dog whistle. It does not mean what you 804 00:48:36,520 --> 00:48:39,040 Speaker 1: think that it means, and you have to apply double 805 00:48:39,120 --> 00:48:42,680 Speaker 1: think in order to understand what they're really saying. What 806 00:48:42,719 --> 00:48:45,680 Speaker 1: they're really saying about fairness is that they have to 807 00:48:45,760 --> 00:48:48,920 Speaker 1: manipulate their search results so it gives them their political 808 00:48:49,480 --> 00:48:54,040 Speaker 1: agenda that they want, and so they have to rebias 809 00:48:54,200 --> 00:48:58,160 Speaker 1: their algorithms so that they can they can get their 810 00:48:58,280 --> 00:49:03,040 Speaker 1: agenda across, you know, unpack everything that she's saying saying 811 00:49:03,080 --> 00:49:05,960 Speaker 1: that she wants to be she wants the algorithm to 812 00:49:06,000 --> 00:49:11,760 Speaker 1: be fair to a handpicked representative of that community. Means 813 00:49:11,800 --> 00:49:13,440 Speaker 1: that what she's trying to do is she's trying to 814 00:49:13,480 --> 00:49:17,400 Speaker 1: sell your product that is not objectionable. It's what she's 815 00:49:17,440 --> 00:49:18,840 Speaker 1: trying to do is she's trying to sell a product 816 00:49:18,880 --> 00:49:22,280 Speaker 1: that's not objective, that doesn't represent the will of its users, 817 00:49:22,360 --> 00:49:26,360 Speaker 1: but instead represents the will of a group of people 818 00:49:26,440 --> 00:49:30,280 Speaker 1: making decisions behind the shadows. So what did you find 819 00:49:30,719 --> 00:49:34,880 Speaker 1: inside Google that was related to this idea of fairness? 820 00:49:36,320 --> 00:49:39,920 Speaker 1: What I found at Google related to fairness was a 821 00:49:39,920 --> 00:49:44,280 Speaker 1: machine learning algorithm called a MEL fairness a NOL standing 822 00:49:44,280 --> 00:49:48,239 Speaker 1: for machine learning and fairness, meaning whatever it is that 823 00:49:48,280 --> 00:49:51,000 Speaker 1: they wanted to define as fair. You could actually think 824 00:49:51,000 --> 00:49:56,680 Speaker 1: of fairness as unfair because it's taking as input the 825 00:49:56,760 --> 00:49:59,840 Speaker 1: clicks that people are making and then figuring out what 826 00:50:00,120 --> 00:50:03,000 Speaker 1: signals are being generated from the clicks and which signals 827 00:50:03,160 --> 00:50:07,280 Speaker 1: wants to amplify and then also, Project Veritas also received 828 00:50:07,320 --> 00:50:12,440 Speaker 1: a trope of confidential documents from within Google. This document 829 00:50:12,600 --> 00:50:18,200 Speaker 1: is about algorithmic unfairness. It reads quote for example, imagine 830 00:50:18,200 --> 00:50:22,160 Speaker 1: that a Google image query for CEOs shows predominantly men, 831 00:50:22,840 --> 00:50:26,840 Speaker 1: even if it were a factually accurate representation of the world, 832 00:50:27,160 --> 00:50:34,080 Speaker 1: it would be algorithmic unfairness unquote. Gorov Guite, a Google 833 00:50:34,160 --> 00:50:44,120 Speaker 1: software engineer, independently verified the thesis of this Documents and 834 00:50:44,400 --> 00:50:50,840 Speaker 1: fairness teams. Yeah, you need to be Yeah, time modify 835 00:50:50,960 --> 00:51:00,640 Speaker 1: the substyle. It's kind of balances out. This is a 836 00:51:00,760 --> 00:51:04,120 Speaker 1: confidential document, correct, Yes, which is not a document that 837 00:51:04,160 --> 00:51:08,040 Speaker 1: Google has come out and admitted that this is their process. 838 00:51:08,239 --> 00:51:12,319 Speaker 1: That's correct, And in this document it says I'm going 839 00:51:12,360 --> 00:51:13,880 Speaker 1: to read from it. In fact, in fact, if you 840 00:51:13,920 --> 00:51:15,719 Speaker 1: brought this up, I thought the document, they would say 841 00:51:15,760 --> 00:51:19,680 Speaker 1: that this is a conspiracy theory. Wow, So they wouldn't 842 00:51:19,680 --> 00:51:23,239 Speaker 1: admit this publicly. Who would never admit this publicly? In 843 00:51:23,560 --> 00:51:26,120 Speaker 1: this document, it says in some cases, it may be 844 00:51:26,160 --> 00:51:29,120 Speaker 1: appropriate to take no action if the system accurately affects 845 00:51:29,120 --> 00:51:32,520 Speaker 1: current reality, while in other cases it may be desirable 846 00:51:32,520 --> 00:51:34,719 Speaker 1: to consider how he might help society reach a more 847 00:51:34,800 --> 00:51:39,680 Speaker 1: fair and equitable state via product intervention. What do they 848 00:51:39,719 --> 00:51:42,640 Speaker 1: mean by that? So what they want to do is 849 00:51:42,680 --> 00:51:44,840 Speaker 1: they want to act as gatekeepers between the user and 850 00:51:44,840 --> 00:51:47,560 Speaker 1: the content that they're trying to access. And so they're 851 00:51:47,600 --> 00:51:50,000 Speaker 1: going to come in, They're going to filter the content, 852 00:51:50,280 --> 00:51:52,800 Speaker 1: and they're going to say, actually, we don't want to 853 00:51:53,120 --> 00:51:56,239 Speaker 1: give the user access to that information because it's going 854 00:51:56,280 --> 00:52:00,560 Speaker 1: to create an outcome that's undesirable to us. Does Google 855 00:52:01,040 --> 00:52:06,040 Speaker 1: have an editorial agenda? Does the company make news decisions? 856 00:52:06,120 --> 00:52:09,920 Speaker 1: Is that what I'm seeing in this document? Yes? Um, 857 00:52:09,960 --> 00:52:15,000 Speaker 1: this is describing what's happening within the Google News. Would 858 00:52:15,000 --> 00:52:18,200 Speaker 1: Google have a problem if people saw this document? I 859 00:52:18,239 --> 00:52:21,840 Speaker 1: think so? Why wouldn't Google want people to see this document? 860 00:52:22,920 --> 00:52:27,640 Speaker 1: The reason why is because um, right here, Um, in 861 00:52:28,160 --> 00:52:33,840 Speaker 1: some of these boxes, they're applying editorial, their their editorial 862 00:52:33,880 --> 00:52:37,920 Speaker 1: agenda onto the news sources. And if you were to 863 00:52:37,960 --> 00:52:40,880 Speaker 1: expand that, you would see that there's a machine learning 864 00:52:41,120 --> 00:52:46,640 Speaker 1: fairness within these algorithmic checks. And they state right here 865 00:52:46,800 --> 00:52:50,600 Speaker 1: that it's for callability and extractability, but in reality, it's 866 00:52:50,600 --> 00:52:54,759 Speaker 1: it's it's doesn't fall in line with their um, with 867 00:52:54,840 --> 00:52:57,319 Speaker 1: their agenda, and if it does, it it pops the top, 868 00:52:57,320 --> 00:53:00,319 Speaker 1: and if it doesn't, then it gets buried. Google's really 869 00:53:00,360 --> 00:53:03,680 Speaker 1: thinking and they won't say in public, but she just said, 870 00:53:04,440 --> 00:53:06,960 Speaker 1: you know what a lot of us see and know 871 00:53:07,120 --> 00:53:09,520 Speaker 1: to be true, and you guys just got her and 872 00:53:09,560 --> 00:53:11,600 Speaker 1: she was just she said the truth. They're not an 873 00:53:11,640 --> 00:53:15,680 Speaker 1: objective piece, They're not an objective source of information. They 874 00:53:15,680 --> 00:53:19,799 Speaker 1: are a highly biased political machine UM that is bent 875 00:53:20,120 --> 00:53:23,280 Speaker 1: on never letting somebody like Donald Trump come to power again. 876 00:53:23,960 --> 00:53:28,919 Speaker 1: Twenty certainty, on top of my old organization, on top 877 00:53:28,920 --> 00:53:31,400 Speaker 1: of mind, they've been working on it since twenty sixteen 878 00:53:31,440 --> 00:53:41,680 Speaker 1: to make sure the game we have there pretty unbelievable. 879 00:53:41,680 --> 00:53:43,600 Speaker 1: All right, eight hundred and nine four one Sean, If 880 00:53:43,600 --> 00:53:45,040 Speaker 1: you want to be a part of the program, actually, 881 00:53:45,040 --> 00:53:47,080 Speaker 1: you know what before we do that, Oh boy, I 882 00:53:47,120 --> 00:53:49,560 Speaker 1: think that we should know this is a good thing. 883 00:53:50,000 --> 00:53:52,200 Speaker 1: I think we should remind the audience of what James 884 00:53:52,200 --> 00:53:55,000 Speaker 1: O'Keefe discovered, you know, just a little bit, not like 885 00:53:55,080 --> 00:53:56,480 Speaker 1: a lot. I'm not going to take away from the 886 00:53:56,520 --> 00:54:01,040 Speaker 1: coalism saying say something, you're you you're It gets thicker, 887 00:54:01,200 --> 00:54:03,759 Speaker 1: It doesn't get better, it gets thicker. Should I talk 888 00:54:03,800 --> 00:54:07,680 Speaker 1: like you golf? Say golf, Say golf the way you 889 00:54:07,719 --> 00:54:09,960 Speaker 1: say I say golf. And I want to have a 890 00:54:10,000 --> 00:54:13,879 Speaker 1: gulf off wolf walk. I'm calling it a golf off. 891 00:54:14,040 --> 00:54:16,600 Speaker 1: Is that what you call it in sports? Well off? No, 892 00:54:16,600 --> 00:54:21,560 Speaker 1: there's no such thing as a gulf off, no such 893 00:54:21,640 --> 00:54:24,080 Speaker 1: thing as like wolf off. But isn't there a thing 894 00:54:24,120 --> 00:54:28,520 Speaker 1: in sports how dance off? Oh you know what, that 895 00:54:28,640 --> 00:54:31,880 Speaker 1: is what I'm thinking of. Ethan's right, I love dancing. 896 00:54:32,920 --> 00:54:35,839 Speaker 1: Let's see that, Sean, Let's sayut dance each other. No, bo, 897 00:54:35,920 --> 00:54:39,360 Speaker 1: he's I've already been I I've already been humiliated. Actually, 898 00:54:39,360 --> 00:54:42,520 Speaker 1: out with you at the Redneck River, you weren't humiliated. 899 00:54:42,600 --> 00:54:44,960 Speaker 1: You were revered. They were like, oh my god, Sean 900 00:54:45,040 --> 00:54:47,520 Speaker 1: actually has a friend that can shake it. Oh thank you. No, 901 00:54:47,680 --> 00:54:49,719 Speaker 1: that's not what it was at all. So we're there 902 00:54:49,760 --> 00:54:52,640 Speaker 1: with our entire crew and what was the audience knows 903 00:54:52,680 --> 00:54:55,640 Speaker 1: a story and they're on my side. Okay, we're there for. 904 00:54:55,960 --> 00:54:58,000 Speaker 1: We were there for everybody was there for a very 905 00:54:58,040 --> 00:55:01,120 Speaker 1: Psalmber sang, Oh that's right. Remember okay, So did you 906 00:55:01,160 --> 00:55:03,640 Speaker 1: want me to finish you? Okay, now please take it 907 00:55:04,440 --> 00:55:06,440 Speaker 1: by all means. I don't want it at all. Why 908 00:55:06,480 --> 00:55:10,080 Speaker 1: would I love being interrupted? Go ahead interrupt me. So anyhow, 909 00:55:10,480 --> 00:55:12,839 Speaker 1: we were out there for a very somber event, which 910 00:55:12,880 --> 00:55:15,040 Speaker 1: was the one year anniversary of the deadly shooting in 911 00:55:15,120 --> 00:55:17,360 Speaker 1: Las Vegas for all of those folks that went to 912 00:55:17,400 --> 00:55:20,200 Speaker 1: the country music festival, and John Rich came out there 913 00:55:20,200 --> 00:55:24,880 Speaker 1: big and Rich, and we had this amazing sort of 914 00:55:24,920 --> 00:55:27,400 Speaker 1: like charity event. It was like a tribute and it 915 00:55:27,440 --> 00:55:31,560 Speaker 1: was really beautiful. But afterwards, John Rich has a redneck 916 00:55:31,680 --> 00:55:36,120 Speaker 1: Riviera whiskey bar on strip, so him and Kenny got 917 00:55:36,200 --> 00:55:38,680 Speaker 1: up and they actually did a very impromptu set. It 918 00:55:38,719 --> 00:55:42,239 Speaker 1: was fantastic. Sounds is in there spot on and so 919 00:55:42,360 --> 00:55:45,040 Speaker 1: you know, I decided to take where the rhythm moved me, 920 00:55:45,040 --> 00:55:47,640 Speaker 1: which was the dance floor with many other people. The 921 00:55:47,680 --> 00:55:49,960 Speaker 1: only difference was all of you and the rest of 922 00:55:50,000 --> 00:55:54,040 Speaker 1: your staff were too stiff and too incapable to join me, 923 00:55:54,440 --> 00:55:57,400 Speaker 1: So I had to dance with strangers, which was fine, Okay, 924 00:55:57,440 --> 00:56:01,200 Speaker 1: it was a little weird. And Lair and I saw 925 00:56:01,239 --> 00:56:03,480 Speaker 1: this and we're like looking and Stanger was there, and 926 00:56:03,480 --> 00:56:07,200 Speaker 1: sweet Baby James was there and everybody's looking like she's 927 00:56:07,320 --> 00:56:09,920 Speaker 1: dancing on the dance floor by herself. Yeah. And then 928 00:56:09,960 --> 00:56:13,000 Speaker 1: Finland I dance too, Remember I remember that. And I 929 00:56:13,040 --> 00:56:15,239 Speaker 1: remember Lair saw me in Finland. He didn't see me 930 00:56:15,280 --> 00:56:17,640 Speaker 1: in Vegas, but John Rich saw me in Vegas, and 931 00:56:17,760 --> 00:56:19,799 Speaker 1: John Rich gave me a big old thumbs up. Well 932 00:56:19,840 --> 00:56:22,200 Speaker 1: you think he was on the stage playing with Big Kenny, 933 00:56:22,320 --> 00:56:24,440 Speaker 1: And I don't think he saw you in the crowd. 934 00:56:26,480 --> 00:56:28,680 Speaker 1: I got a major shout out from the stage. He 935 00:56:28,760 --> 00:56:32,080 Speaker 1: was like Linda from Hannity in the house, what what? Yeah, 936 00:56:32,120 --> 00:56:36,120 Speaker 1: okay whatever, And that happened. I remember me sad, sweet 937 00:56:36,160 --> 00:56:39,560 Speaker 1: baby James and everybody else like, oh my god, this 938 00:56:39,640 --> 00:56:42,359 Speaker 1: is gonna hold up the wall. I can't do it 939 00:56:42,400 --> 00:56:45,080 Speaker 1: on its own. That's exactly That's what I'm doing. All right, right, 940 00:56:45,160 --> 00:56:48,200 Speaker 1: let me get to the phones. We'll say hi to 941 00:56:48,440 --> 00:56:52,600 Speaker 1: Jerry and Missouri. How are you, Missolie. I'm just kidding. 942 00:56:52,600 --> 00:56:55,760 Speaker 1: How are you, Jerry? What's going on? Oh? Pretty? Something 943 00:56:56,560 --> 00:57:00,520 Speaker 1: fun when you're not working. I'll make this asked. I 944 00:57:00,600 --> 00:57:04,640 Speaker 1: am so tired of the double standards that both sides 945 00:57:05,200 --> 00:57:10,719 Speaker 1: are practice in regard to the Epstein matter. If Secretary 946 00:57:10,800 --> 00:57:14,880 Speaker 1: Acosta is going to face consequences, and maybe he should, 947 00:57:15,239 --> 00:57:19,440 Speaker 1: then so should the Clintons, because they were even Clinton 948 00:57:19,560 --> 00:57:22,840 Speaker 1: was there well, I mean twenty six times on the 949 00:57:22,920 --> 00:57:27,360 Speaker 1: Lolita Express, and by all accounts, on most of those trips, 950 00:57:27,400 --> 00:57:29,680 Speaker 1: you have these young girls. You know, I was talking 951 00:57:29,720 --> 00:57:32,919 Speaker 1: to somebody I forget who yesterday and and I don't 952 00:57:32,960 --> 00:57:35,200 Speaker 1: know what was going on, but I'm like, I'm sorry, 953 00:57:35,240 --> 00:57:39,440 Speaker 1: there's too much smoke here and I have sirens blaring 954 00:57:39,520 --> 00:57:42,640 Speaker 1: all over my mind about all of this. But you know, 955 00:57:42,720 --> 00:57:45,720 Speaker 1: one of the things that Alexander a Costa said, and 956 00:57:45,840 --> 00:57:48,360 Speaker 1: I didn't really think about this last night, Pam Bondi 957 00:57:48,520 --> 00:57:51,520 Speaker 1: was on and she made the observation that she has 958 00:57:51,680 --> 00:57:55,040 Speaker 1: tried a lot of these sex crime cases there. I mean, 959 00:57:55,120 --> 00:57:59,080 Speaker 1: these these are there are these predator pedophiles out there, 960 00:57:59,320 --> 00:58:03,000 Speaker 1: and remember remember to catch a criminal. Remember that show 961 00:58:03,080 --> 00:58:06,280 Speaker 1: that went on they would catch all the pedophiles and 962 00:58:06,320 --> 00:58:09,040 Speaker 1: it was actually catch a predator, all right, So I 963 00:58:09,080 --> 00:58:12,280 Speaker 1: would watch these things. I mean, it's so disgusting what 964 00:58:12,320 --> 00:58:15,680 Speaker 1: they do and how they literally they're predators. They're out 965 00:58:15,720 --> 00:58:19,560 Speaker 1: there and they are trying to lure teenage kids to 966 00:58:19,720 --> 00:58:22,200 Speaker 1: have sex with them. In other words, they are the 967 00:58:22,280 --> 00:58:26,320 Speaker 1: embodiment of evil. You know, look at the hierarchy in prison. 968 00:58:26,680 --> 00:58:29,880 Speaker 1: You could be the worst murderer and you'll you'll get 969 00:58:29,920 --> 00:58:32,960 Speaker 1: along with the prison population. If you're a predator pedophile, 970 00:58:33,400 --> 00:58:37,200 Speaker 1: they don't want They even have a line that you 971 00:58:37,240 --> 00:58:40,680 Speaker 1: don't cross. And I'm talking about the worst criminals. But 972 00:58:41,160 --> 00:58:44,200 Speaker 1: what Pam was saying, and what a Costa was revealing 973 00:58:44,240 --> 00:58:50,000 Speaker 1: and saying, is that the lenient deal happened because a 974 00:58:50,040 --> 00:58:53,200 Speaker 1: lot of the accusers were refusing. And by the way, 975 00:58:53,320 --> 00:58:56,640 Speaker 1: I'm not judging the accusers. If you come out and 976 00:58:56,720 --> 00:58:59,360 Speaker 1: you make an allegation and you got to be cross 977 00:58:59,440 --> 00:59:02,880 Speaker 1: examined and you're fourteen years old with braces, as the 978 00:59:03,040 --> 00:59:07,600 Speaker 1: Daily Mail article pointed out in one case, and those 979 00:59:07,680 --> 00:59:12,080 Speaker 1: defense attorneys are going right at you. I don't know that. 980 00:59:12,240 --> 00:59:14,800 Speaker 1: I mean, now you have to relive the trauma again 981 00:59:14,800 --> 00:59:18,040 Speaker 1: and again and again. I don't know. If a kid 982 00:59:18,080 --> 00:59:20,440 Speaker 1: doesn't want to do that, you can't blame them. And 983 00:59:20,800 --> 00:59:27,040 Speaker 1: I all but two apparently refused to testify. According to 984 00:59:27,120 --> 00:59:32,439 Speaker 1: former prosecutor Solomon Weisberg, he was on Fox News last 985 00:59:32,520 --> 00:59:35,040 Speaker 1: night with Laura and based on allegations from two of 986 00:59:35,080 --> 00:59:37,840 Speaker 1: the accusers, it was not a slam dunk, especially since 987 00:59:37,880 --> 00:59:41,800 Speaker 1: according to reports that you know, there were people willing 988 00:59:41,800 --> 00:59:45,800 Speaker 1: to testify that, oh, he was actually a great guy. 989 00:59:45,920 --> 00:59:48,640 Speaker 1: I don't know. I mean, it's it's a little more complicated, 990 00:59:48,920 --> 00:59:52,600 Speaker 1: but I'll tell you this, my gut, my siren, my 991 00:59:52,840 --> 00:59:56,320 Speaker 1: instinct is it's reeling in my head