1 00:00:00,440 --> 00:00:04,120 Speaker 1: I remember fact, when our intelligence community came out with 2 00:00:04,160 --> 00:00:07,160 Speaker 1: their statements saying what Russia had done. This was a 3 00:00:07,200 --> 00:00:10,159 Speaker 1: huge bombshell, and it was I think entirely appropriate that 4 00:00:10,200 --> 00:00:13,240 Speaker 1: the intelligence community come out with that bombshell because of 5 00:00:13,280 --> 00:00:17,560 Speaker 1: the ways in which when President Obama spoke to any issue, 6 00:00:17,640 --> 00:00:19,920 Speaker 1: really there was such a large constituency of people who 7 00:00:19,960 --> 00:00:22,200 Speaker 1: just wanted to say and do the opposite of whatever 8 00:00:22,320 --> 00:00:24,600 Speaker 1: he wanted to say and do. And so since it 9 00:00:24,640 --> 00:00:28,720 Speaker 1: was a technical finding with a strong evidentiary basis, when 10 00:00:28,760 --> 00:00:31,880 Speaker 1: they came out, we expected people from both parties to 11 00:00:32,320 --> 00:00:35,159 Speaker 1: jump up and down and be as seized with this 12 00:00:35,240 --> 00:00:37,800 Speaker 1: as we were within the executive branch. I used to 13 00:00:38,080 --> 00:00:40,040 Speaker 1: when I was in the Security Council talk a lot 14 00:00:40,080 --> 00:00:42,559 Speaker 1: about how I had just entered upside downland. You know 15 00:00:42,640 --> 00:00:47,479 Speaker 1: that up was down, was black was white, and vice versa, 16 00:00:48,040 --> 00:00:50,520 Speaker 1: and then little did I know that my own country 17 00:00:50,600 --> 00:00:54,280 Speaker 1: and my own president would would in effect create and 18 00:00:54,360 --> 00:00:57,400 Speaker 1: inhabit his own upside downland. One point I'd like to 19 00:00:57,440 --> 00:01:00,360 Speaker 1: make Anderson, I don't think has come up very much before, 20 00:01:01,040 --> 00:01:05,119 Speaker 1: and I'm alluding now to the President's criticism of President 21 00:01:05,160 --> 00:01:08,479 Speaker 1: Obama for all that he did or didn't do before 22 00:01:08,520 --> 00:01:11,160 Speaker 1: he left office with respect to the Russian meddling. If 23 00:01:11,160 --> 00:01:14,240 Speaker 1: it weren't for President Obama, we might not have done 24 00:01:14,319 --> 00:01:17,240 Speaker 1: the intelligence community assessment that we did that set off 25 00:01:17,240 --> 00:01:21,399 Speaker 1: a whole sequence of events which are unfolding today, notably 26 00:01:21,720 --> 00:01:25,960 Speaker 1: Special Counsel Mueller's investigation. President Obama is responsible for that, 27 00:01:26,000 --> 00:01:28,640 Speaker 1: and was he who tasks us to do that intelligence 28 00:01:28,600 --> 00:01:31,440 Speaker 1: community assessment in the first place. I think that's an 29 00:01:31,440 --> 00:01:35,000 Speaker 1: important point when it comes to critiquing President Obama. Former 30 00:01:35,040 --> 00:01:38,560 Speaker 1: President Obama's Ambassador of the United Nations, Samantha Powers, has 31 00:01:38,600 --> 00:01:43,240 Speaker 1: testified that others made unmasking requests in her name. Trey Goudy, 32 00:01:43,319 --> 00:01:46,200 Speaker 1: who has said that on Fox News or testimony, is 33 00:01:46,200 --> 00:01:47,840 Speaker 1: that they may be under my name, but I did 34 00:01:47,840 --> 00:01:51,760 Speaker 1: not make those requests. If that happened, if people usurp 35 00:01:51,880 --> 00:01:55,240 Speaker 1: the authority to request unmaskings, would that concern you? Director 36 00:01:55,240 --> 00:01:58,960 Speaker 1: Clappers would because I don't know quite how that would happen, 37 00:02:01,400 --> 00:02:04,920 Speaker 1: you know, because the only way you can make an 38 00:02:04,960 --> 00:02:08,800 Speaker 1: unmasking request is that you have authorized access to the 39 00:02:08,840 --> 00:02:11,239 Speaker 1: report in question in the first place. So I don't 40 00:02:11,280 --> 00:02:15,200 Speaker 1: know how that's quite how that would work. I'll also 41 00:02:15,280 --> 00:02:18,359 Speaker 1: tell you that it was not a requirement that people 42 00:02:18,440 --> 00:02:23,760 Speaker 1: who asked for unmaskings go through ME for approval. The 43 00:02:23,840 --> 00:02:28,520 Speaker 1: approving authority would be the original original collecting agency, which 44 00:02:28,560 --> 00:02:35,000 Speaker 1: normally would be an say breaking news. Now, tear Sean Hannity, 45 00:02:36,520 --> 00:02:39,679 Speaker 1: all right, we have more huge developments as it relates 46 00:02:39,720 --> 00:02:43,520 Speaker 1: to the deep state abuse of power corruption scandal ignored 47 00:02:43,560 --> 00:02:46,239 Speaker 1: by the media. First, let me say what Samantha Power 48 00:02:46,320 --> 00:02:49,200 Speaker 1: said and James Clapper said that you just heard there 49 00:02:49,280 --> 00:02:54,040 Speaker 1: is totally completely dishonest inasmuch as all of the things 50 00:02:54,040 --> 00:02:58,840 Speaker 1: they're talking about involving Russia, it all happened on their watch. 51 00:02:59,120 --> 00:03:03,679 Speaker 1: And we know that the former House Intelligence Community Chairman, 52 00:03:03,919 --> 00:03:07,480 Speaker 1: Devin Nunez warned them, and he'd warned them repeatedly. He 53 00:03:07,600 --> 00:03:09,840 Speaker 1: warned them behind the scenes. He warned them in the 54 00:03:09,880 --> 00:03:14,160 Speaker 1: Washington Times early twenty fourteen that the Russians had planned 55 00:03:14,560 --> 00:03:18,320 Speaker 1: all of this chaos creation around the twenty sixteen election. 56 00:03:18,360 --> 00:03:21,120 Speaker 1: They did nothing, and then, of course they ignored Hillary 57 00:03:21,160 --> 00:03:24,640 Speaker 1: Clinton's dirty bought and paid for Russian dossier by a 58 00:03:24,680 --> 00:03:28,160 Speaker 1: foreign agent, which we now know was full of Russian 59 00:03:28,680 --> 00:03:33,400 Speaker 1: misinformation and lies and used to influence the American people 60 00:03:33,440 --> 00:03:36,080 Speaker 1: before the election. It was spread by members in the 61 00:03:36,080 --> 00:03:40,160 Speaker 1: intelligence community and then later uses the bulk of information 62 00:03:40,520 --> 00:03:45,680 Speaker 1: as it is as quote something that was verified when 63 00:03:45,680 --> 00:03:48,560 Speaker 1: it never could be verified it was false. Not even 64 00:03:48,600 --> 00:03:52,080 Speaker 1: Steel himself stands behind it or FISA application a spy 65 00:03:52,120 --> 00:03:55,440 Speaker 1: on the Trump campaign, the Trump transition, and the Trump presidency. 66 00:03:55,760 --> 00:03:58,520 Speaker 1: Now we told you about the big story from our 67 00:03:58,760 --> 00:04:01,160 Speaker 1: friends over at the American Center for Law and Justice 68 00:04:01,200 --> 00:04:04,080 Speaker 1: earlier the week, and that is executive word to twelve 69 00:04:04,240 --> 00:04:09,000 Speaker 1: triple three. Why was there this feeding frenzy, an absolute 70 00:04:09,160 --> 00:04:14,600 Speaker 1: frenzy to get seventeen agencies access to the type of 71 00:04:14,640 --> 00:04:18,120 Speaker 1: intelligence that for the prior eight years in their years, 72 00:04:18,480 --> 00:04:21,440 Speaker 1: in the Obama years, that only three agencies would have 73 00:04:21,480 --> 00:04:24,640 Speaker 1: access for well, I think there's obvious reasons for that. 74 00:04:24,960 --> 00:04:29,920 Speaker 1: Now we have some very interesting new information about XUN 75 00:04:30,000 --> 00:04:34,200 Speaker 1: Ambassador Samantha Power. Thanks again to our friends at the 76 00:04:34,240 --> 00:04:38,400 Speaker 1: American Center for Law and Justice. What we're finding our 77 00:04:38,560 --> 00:04:42,240 Speaker 1: documents that have been on earth by them, and apparently 78 00:04:42,279 --> 00:04:46,159 Speaker 1: Samantha Power. I think about this, Samantha Power UN Ambassador, 79 00:04:46,320 --> 00:04:49,240 Speaker 1: and this goes back like the executive war of twelve 80 00:04:49,320 --> 00:04:53,279 Speaker 1: three three three. We were talking about it in twenty seventeen. Anyway, 81 00:04:53,839 --> 00:04:56,920 Speaker 1: now we know that she was involved in this unmasking 82 00:04:57,279 --> 00:05:01,400 Speaker 1: and literally up to were eyeballs. We had a three 83 00:05:01,480 --> 00:05:05,000 Speaker 1: hundred and fifty percent increase in unmasking after Trump stunned 84 00:05:05,040 --> 00:05:07,520 Speaker 1: the world to win the election. You know, Powers and 85 00:05:07,560 --> 00:05:11,640 Speaker 1: those emailing her were I am discouraged, I am frightened 86 00:05:11,680 --> 00:05:14,560 Speaker 1: electing a right wing president as something but such a 87 00:05:14,600 --> 00:05:19,080 Speaker 1: morally repugnant bully right In November twenty sixteen email to 88 00:05:19,160 --> 00:05:21,840 Speaker 1: Power that had the name of the sender redacted by 89 00:05:21,880 --> 00:05:25,120 Speaker 1: the State Department, that email also referred to Steve Bannon 90 00:05:25,240 --> 00:05:29,040 Speaker 1: as an avowed racist and predicting the worst is coming. 91 00:05:29,080 --> 00:05:32,640 Speaker 1: And by the way, no evidence in the released documents 92 00:05:32,640 --> 00:05:35,680 Speaker 1: that Power responded or whatever or chastise. But there is 93 00:05:35,720 --> 00:05:38,960 Speaker 1: ample evidence that she engaged in a lot of Trump bashing. 94 00:05:39,120 --> 00:05:41,279 Speaker 1: Why would there be a three d and fifty percent 95 00:05:41,320 --> 00:05:45,320 Speaker 1: increase in unmasking by the UN Ambassador Jay Sekulo is 96 00:05:45,400 --> 00:05:47,920 Speaker 1: the chief counsel for the American Center for Law Injustice, 97 00:05:47,960 --> 00:05:50,400 Speaker 1: counsel to the President as well. All right, tell us 98 00:05:50,400 --> 00:05:53,800 Speaker 1: what you found in these emails. Well, what I found was, 99 00:05:54,000 --> 00:05:57,799 Speaker 1: you know, sheer political panic evidence in Samantha Powers emails 100 00:05:58,080 --> 00:06:02,000 Speaker 1: showing that again the fixed in against the incoming administration, 101 00:06:02,080 --> 00:06:05,160 Speaker 1: even before the forty fifth president was sworn in to office. 102 00:06:05,200 --> 00:06:07,760 Speaker 1: And I say that we filed again, these were lawsuits 103 00:06:07,800 --> 00:06:10,359 Speaker 1: that you file under the Freedom of Information Act. You 104 00:06:10,400 --> 00:06:12,479 Speaker 1: go to court and then you get documents release. We're 105 00:06:12,480 --> 00:06:14,839 Speaker 1: finally getting documents and able to go through these documents, 106 00:06:15,160 --> 00:06:17,480 Speaker 1: and you have this. So Samantha Powers, who was a 107 00:06:17,600 --> 00:06:20,040 Speaker 1: UN ambassador, why she was even involved in unmasking is 108 00:06:20,640 --> 00:06:24,400 Speaker 1: a real question. But you got hundreds of unmasking, about 109 00:06:24,440 --> 00:06:26,679 Speaker 1: three hundred in her case alone, but a three hundred 110 00:06:26,720 --> 00:06:30,160 Speaker 1: and fifty percent increase in twenty sixteen, and that raises 111 00:06:30,400 --> 00:06:34,080 Speaker 1: very troubling questions. Yeah. Sure, And then you see, so 112 00:06:34,160 --> 00:06:36,760 Speaker 1: you have this going remember a context here. We're now 113 00:06:36,800 --> 00:06:40,719 Speaker 1: able to put context into this. You mentioned the information 114 00:06:40,760 --> 00:06:44,000 Speaker 1: we got the other day regarding twelve executive're to twelve 115 00:06:44,080 --> 00:06:46,719 Speaker 1: three three three, So we know that comes in shortly 116 00:06:46,760 --> 00:06:49,960 Speaker 1: after this email exchange that we've now got access to. 117 00:06:50,360 --> 00:06:53,560 Speaker 1: We know about crossfire hurricane starting in twenty sixteen. So 118 00:06:53,839 --> 00:06:56,280 Speaker 1: all of this is in play, culminating in a new 119 00:06:56,279 --> 00:06:59,279 Speaker 1: president being sworn in. So what do they say, Well, 120 00:06:59,279 --> 00:07:02,400 Speaker 1: one of the ideas is that she needs maximum amplification 121 00:07:02,839 --> 00:07:05,760 Speaker 1: for her message. Okay, what's her message is that we 122 00:07:05,839 --> 00:07:11,200 Speaker 1: need to move out on sixty minutes to seek maximum identification. 123 00:07:11,320 --> 00:07:14,080 Speaker 1: And then to the producer of sixty minutes, she writes, 124 00:07:14,360 --> 00:07:19,160 Speaker 1: we're still reeling, as you might imagine. Notwithstanding this, Tuesday's 125 00:07:19,160 --> 00:07:21,920 Speaker 1: results have given us even a greater sense of urgency 126 00:07:22,240 --> 00:07:24,560 Speaker 1: to get our work done in the last few months. 127 00:07:24,960 --> 00:07:28,400 Speaker 1: Seventy good long days left. So rather than coordinating with 128 00:07:28,440 --> 00:07:30,920 Speaker 1: an incoming administration, which is the normal practice in the 129 00:07:31,000 --> 00:07:34,000 Speaker 1: United States, you have this, you know, like I say, 130 00:07:34,080 --> 00:07:37,200 Speaker 1: political panics sending in where they're trying to not only 131 00:07:37,320 --> 00:07:41,680 Speaker 1: undo what the incoming administration may put in place, but 132 00:07:41,960 --> 00:07:45,360 Speaker 1: really kind of sabotaging that before it even starts. And 133 00:07:45,680 --> 00:07:49,120 Speaker 1: you go to this again, another one from Samantha Powers. 134 00:07:49,160 --> 00:07:51,720 Speaker 1: This is to the director of Policy Planning at the 135 00:07:51,760 --> 00:07:54,400 Speaker 1: Department of State. She writes, Lord help us all, how 136 00:07:54,440 --> 00:07:56,560 Speaker 1: are you holding up? And below and that she talks 137 00:07:56,600 --> 00:07:59,320 Speaker 1: about an article is just one of the many grim 138 00:07:59,360 --> 00:08:02,000 Speaker 1: things we have to look forward to. And this is 139 00:08:02,040 --> 00:08:05,840 Speaker 1: again in reference to statements that the president elect was 140 00:08:05,880 --> 00:08:09,280 Speaker 1: then making. So look, they're entitled to their opinion. What 141 00:08:09,440 --> 00:08:12,440 Speaker 1: you've got, though, is an intentional act, what I think 142 00:08:12,680 --> 00:08:16,320 Speaker 1: is culminating ultimately within twelve three three three, So I 143 00:08:16,320 --> 00:08:18,440 Speaker 1: think all ties into that where they you know, get 144 00:08:18,440 --> 00:08:21,400 Speaker 1: in this whole intelligence sharing. But it just shows you 145 00:08:21,440 --> 00:08:23,240 Speaker 1: the nature of the bias here. It was, you know, 146 00:08:23,600 --> 00:08:26,160 Speaker 1: in the United States, you win elections, you lose elections, 147 00:08:26,240 --> 00:08:28,520 Speaker 1: and that's it, and then you have an incoming administration. 148 00:08:29,680 --> 00:08:32,480 Speaker 1: Here it is the vitriol that there's a reason we 149 00:08:32,600 --> 00:08:36,760 Speaker 1: now know certain things happen. We know they rigged Hillary's investigation. 150 00:08:36,880 --> 00:08:39,440 Speaker 1: She wouldn't have been a candidate if they didn't rig 151 00:08:39,520 --> 00:08:43,040 Speaker 1: it and save her because the evidence is so overwhelming, 152 00:08:43,120 --> 00:08:46,400 Speaker 1: so incontrovertible. You know, when I have my friend Alan 153 00:08:46,440 --> 00:08:49,120 Speaker 1: Dershowitz on, I'm like, you can't even defend your friends, 154 00:08:49,160 --> 00:08:51,600 Speaker 1: the Clintons. If I did this, you know, you couldn't 155 00:08:51,600 --> 00:08:55,280 Speaker 1: get me out of jail. But what's so, what's so 156 00:08:55,360 --> 00:08:58,880 Speaker 1: interesting is now that we look at these things in retrospect, 157 00:08:59,160 --> 00:09:02,439 Speaker 1: and now that we know that spying, real spying, not 158 00:09:02,440 --> 00:09:06,480 Speaker 1: only abroad, but through the use of a phony Russian 159 00:09:06,679 --> 00:09:11,280 Speaker 1: disinformation Killary Clinton Boughton paid for dossier that the author 160 00:09:11,320 --> 00:09:14,200 Speaker 1: doesn't standby. But you know they spied internally on the 161 00:09:14,240 --> 00:09:18,560 Speaker 1: Trump campaign, the transition, They spied on the presidency of 162 00:09:18,720 --> 00:09:22,160 Speaker 1: Donald Trump from very early on, and now you know 163 00:09:22,200 --> 00:09:24,520 Speaker 1: we have Executive Order twelve three three, and we see 164 00:09:24,559 --> 00:09:26,280 Speaker 1: the urgency by which they were trying to get this 165 00:09:26,360 --> 00:09:28,920 Speaker 1: passed in the final days. That tells me that they 166 00:09:29,000 --> 00:09:31,800 Speaker 1: knew at that point that there was a paper trail 167 00:09:31,880 --> 00:09:33,800 Speaker 1: and that they were in trouble. Well, I think that's 168 00:09:33,840 --> 00:09:36,680 Speaker 1: absolutely quick. And then you've got the John Brennan bite 169 00:09:36,679 --> 00:09:38,920 Speaker 1: where he said, if it wasn't for the actions President 170 00:09:39,000 --> 00:09:41,920 Speaker 1: Obama took, this is very important, you would not have 171 00:09:41,920 --> 00:09:43,920 Speaker 1: had the appointment of a special counsel. I mean, think 172 00:09:44,000 --> 00:09:46,600 Speaker 1: about that for a moment. What Brennan actually said, if 173 00:09:46,600 --> 00:09:50,120 Speaker 1: it wasn't for the actions put in place by President Obama, 174 00:09:50,440 --> 00:09:53,079 Speaker 1: you would not have had an appointment of a special counsel. 175 00:09:53,440 --> 00:09:56,280 Speaker 1: That is a very dramatic statement. And then we know 176 00:09:56,520 --> 00:09:59,439 Speaker 1: all of these other issues now all coming to light, 177 00:09:59,520 --> 00:10:02,560 Speaker 1: all into focus as to what was actually a play 178 00:10:02,600 --> 00:10:04,760 Speaker 1: here and actually what was going on waiting for the 179 00:10:04,800 --> 00:10:08,480 Speaker 1: Inspector General report on FIES abuse. But I assume again 180 00:10:08,520 --> 00:10:12,119 Speaker 1: I'm assuming here that he probably is done with the report, 181 00:10:12,120 --> 00:10:15,280 Speaker 1: with the exception of now Durham, who's doing his own 182 00:10:15,520 --> 00:10:19,120 Speaker 1: separate and investigation on behalf of the Attorney General is 183 00:10:19,160 --> 00:10:22,800 Speaker 1: doing his investigation into all of these things that I 184 00:10:22,840 --> 00:10:26,040 Speaker 1: have on this program talked about for two years and saw. 185 00:10:26,480 --> 00:10:29,000 Speaker 1: I assume the Christopher Steele interview is going to be 186 00:10:29,080 --> 00:10:32,280 Speaker 1: very similar to that which he said in an interrogatory. 187 00:10:32,480 --> 00:10:35,400 Speaker 1: He had no idea anything in his dossier was true, 188 00:10:35,840 --> 00:10:39,520 Speaker 1: but yet he was pushing it. And everybody that used 189 00:10:39,520 --> 00:10:42,120 Speaker 1: it as the bulk of information for the FIES application. 190 00:10:42,160 --> 00:10:46,040 Speaker 1: They were all warned repeatedly. Kathleen Cavalak warned them, we 191 00:10:46,120 --> 00:10:49,079 Speaker 1: know Bruce or warn't warned them, and others, But yet 192 00:10:49,120 --> 00:10:52,760 Speaker 1: they used Russian lies anyway, and they couldn't verify it, 193 00:10:52,800 --> 00:10:56,000 Speaker 1: but they swore that they did verify it. That sounds 194 00:10:56,040 --> 00:10:59,280 Speaker 1: like a premeditated fraud committed on the FIES A court 195 00:10:59,400 --> 00:11:02,480 Speaker 1: for the purpose a spying on a presidential campaign to 196 00:11:02,520 --> 00:11:05,280 Speaker 1: influence an election and then undo an election. Well, if 197 00:11:05,280 --> 00:11:07,320 Speaker 1: I was Judge Contreris, it was the FISA court judge, 198 00:11:07,320 --> 00:11:09,440 Speaker 1: I would not be very happy about this. But take 199 00:11:09,480 --> 00:11:11,560 Speaker 1: it a step further, Sean and look at the and 200 00:11:11,640 --> 00:11:13,800 Speaker 1: I think this is again part of it. You've now 201 00:11:13,840 --> 00:11:17,000 Speaker 1: got Clapper and Brennan basically saying this, we told James 202 00:11:17,080 --> 00:11:19,600 Speaker 1: Comey not to use the dossier for FISA as part 203 00:11:19,640 --> 00:11:22,520 Speaker 1: of the FIES application. When you've got Komey saying I 204 00:11:22,559 --> 00:11:25,360 Speaker 1: did this because the intelligence community, including Clapper and Brennan, 205 00:11:25,360 --> 00:11:27,760 Speaker 1: said to use it. So someone's not telling the truth. 206 00:11:27,840 --> 00:11:31,480 Speaker 1: So well, if you notice what's happened here, look look 207 00:11:31,480 --> 00:11:35,120 Speaker 1: at struck in page they now have pointed directly in 208 00:11:35,200 --> 00:11:40,320 Speaker 1: terms of rigging Hillary's investgation to Loretta Lynch. That's number one. 209 00:11:40,600 --> 00:11:43,640 Speaker 1: Then you you're right, You've got this battles intramural battle 210 00:11:43,679 --> 00:11:48,160 Speaker 1: between Komey and then Brennan and Clapper. Then you've got 211 00:11:48,240 --> 00:11:51,440 Speaker 1: you know, Komey versus McCabe, and then you've got you know, 212 00:11:52,040 --> 00:11:54,560 Speaker 1: there's now a circular firing squad. And I've got to 213 00:11:54,640 --> 00:11:58,040 Speaker 1: imagine that behind closed doors, a lot of these guys 214 00:11:58,280 --> 00:12:01,600 Speaker 1: are all turning on each other. What are the crimes 215 00:12:01,600 --> 00:12:03,440 Speaker 1: we're looking at and how are they going to be 216 00:12:03,480 --> 00:12:05,840 Speaker 1: held accountable? Well, first of all, this is what You've 217 00:12:05,840 --> 00:12:09,400 Speaker 1: got a US attorney that's evaluating all of this, and 218 00:12:09,520 --> 00:12:13,360 Speaker 1: they look at this through the prism of both criminal 219 00:12:13,360 --> 00:12:16,600 Speaker 1: justice and others criminal codes, the sanctions of the criminal codes, 220 00:12:16,840 --> 00:12:23,080 Speaker 1: leaking classified information, sharing information inappropriately, of course, obstruction of justice, 221 00:12:23,360 --> 00:12:27,160 Speaker 1: of course, things like perjury, false statements on an application 222 00:12:27,200 --> 00:12:30,439 Speaker 1: for a fizer warrant, all of that. It's got criminal connotations. 223 00:12:30,880 --> 00:12:33,760 Speaker 1: What Durham is doing is doing what's basically a deep dive, 224 00:12:34,000 --> 00:12:36,200 Speaker 1: and that is he's getting to the bottom of what 225 00:12:36,400 --> 00:12:39,360 Speaker 1: was because the one thing we still you know, Sean 226 00:12:39,440 --> 00:12:42,640 Speaker 1: don't have the one on is what really was the 227 00:12:42,679 --> 00:12:45,640 Speaker 1: start of this? Who said go now the way it 228 00:12:45,679 --> 00:12:48,760 Speaker 1: sounds like from Brennan, it was President Obama. That's based 229 00:12:48,800 --> 00:12:51,400 Speaker 1: on Brennan's statement, none of this would have happened without 230 00:12:51,480 --> 00:12:54,960 Speaker 1: President Obama authorizing it, having said that we are going 231 00:12:55,040 --> 00:12:57,400 Speaker 1: to find out exactly who was doing what. And as 232 00:12:57,440 --> 00:13:00,640 Speaker 1: you're already seeing, you've got witnesses that are cooperating. Christopher 233 00:13:00,720 --> 00:13:02,400 Speaker 1: Steel is going to be interviewed, and you're gonna find 234 00:13:02,440 --> 00:13:04,319 Speaker 1: out exactly what we knew from the outset of all 235 00:13:04,320 --> 00:13:07,000 Speaker 1: of this, and what is that that there was no 236 00:13:07,280 --> 00:13:11,400 Speaker 1: real basis to move this forward. This was the insurance policy, 237 00:13:11,440 --> 00:13:13,800 Speaker 1: all right. So let's I think this is a very 238 00:13:13,800 --> 00:13:16,520 Speaker 1: important point that we're now getting to, because I think 239 00:13:16,520 --> 00:13:20,199 Speaker 1: we're now about to hit this all head on, and 240 00:13:20,480 --> 00:13:23,079 Speaker 1: Americans are going to now see the biggest abuse of 241 00:13:23,160 --> 00:13:27,400 Speaker 1: power unfold before their eyes. And I guess the biggest 242 00:13:27,440 --> 00:13:30,080 Speaker 1: best question is and nobody seems to want to ask, 243 00:13:30,240 --> 00:13:33,880 Speaker 1: why would Obamama implement and have an urgency with his 244 00:13:34,000 --> 00:13:37,360 Speaker 1: executive Order twelve Triple three in the final days of 245 00:13:37,440 --> 00:13:41,480 Speaker 1: his administration but not adhere to it himself. Why the 246 00:13:41,640 --> 00:13:45,679 Speaker 1: increase in I'm masking? Why no accountability with the fines 247 00:13:45,720 --> 00:13:50,400 Speaker 1: of abuse. Why when you look at the investigation into Hillary, 248 00:13:50,640 --> 00:13:54,480 Speaker 1: the exoneration before the investigation, and everything else that we 249 00:13:54,600 --> 00:13:58,880 Speaker 1: know about what happened. The answer to me is we 250 00:13:59,040 --> 00:14:02,719 Speaker 1: better hold these people accountable because if we don't, that 251 00:14:02,760 --> 00:14:04,960 Speaker 1: means we have a two tier justice system. There's no 252 00:14:05,040 --> 00:14:08,480 Speaker 1: equal justice under the law, and an effort to rig 253 00:14:08,520 --> 00:14:13,200 Speaker 1: an election and effort to destroy a duly elected president 254 00:14:13,640 --> 00:14:16,040 Speaker 1: will happen again in the future. How do you fix it, Well, 255 00:14:16,040 --> 00:14:17,839 Speaker 1: you can't allow it. First of all, to fix it, 256 00:14:17,880 --> 00:14:19,440 Speaker 1: you got to find out exactly what happened, which you 257 00:14:19,480 --> 00:14:22,160 Speaker 1: were now getting to the bottom of. Secondly, and as 258 00:14:22,200 --> 00:14:24,000 Speaker 1: you said, there are a lot of really great people 259 00:14:24,040 --> 00:14:25,920 Speaker 1: at the FBI and the Department of Justice that do 260 00:14:26,000 --> 00:14:29,080 Speaker 1: their job protecting Americans every day. This was some really 261 00:14:29,120 --> 00:14:31,640 Speaker 1: bad actors at very high levels. You know, you talk 262 00:14:31,680 --> 00:14:33,920 Speaker 1: about quote, you know, we use the phrase a deep 263 00:14:33,960 --> 00:14:37,840 Speaker 1: state or a conspiracy or or individuals here it's even 264 00:14:37,880 --> 00:14:39,360 Speaker 1: if it goes so deep. This was like right at 265 00:14:39,360 --> 00:14:42,000 Speaker 1: the top. What about Muller then? Because Muller now is 266 00:14:42,000 --> 00:14:45,320 Speaker 1: going to testify before two committees, and I know the 267 00:14:45,400 --> 00:14:48,480 Speaker 1: questions I've repeated them earlier. What questions I want to answered? 268 00:14:48,480 --> 00:14:50,320 Speaker 1: What do you want answer? First question I want to 269 00:14:50,320 --> 00:14:51,800 Speaker 1: know is when did you know that there was in 270 00:14:51,880 --> 00:14:55,080 Speaker 1: fact no collusion or conspiracy by the Trump campaign with Russia? 271 00:14:55,160 --> 00:14:56,680 Speaker 1: What was the date of that? When did you make 272 00:14:56,680 --> 00:14:58,760 Speaker 1: that conclusion? And then, of course the follow up question 273 00:14:58,800 --> 00:15:00,640 Speaker 1: of that is and why did you allow that follow forward? 274 00:15:00,800 --> 00:15:02,680 Speaker 1: Second question I want to ask is what did you 275 00:15:02,720 --> 00:15:05,360 Speaker 1: do with evidence gathered by former FBI agent Peter Strock. 276 00:15:05,640 --> 00:15:08,320 Speaker 1: He was on the case before when it was Crossfire Hurricane, 277 00:15:08,320 --> 00:15:10,440 Speaker 1: before the appointment of the Special Council. He was there 278 00:15:10,440 --> 00:15:12,760 Speaker 1: for several months when Bob Muller was in What did 279 00:15:12,760 --> 00:15:15,520 Speaker 1: you do with that evidence? How was that utilized? Number three? 280 00:15:15,720 --> 00:15:18,760 Speaker 1: Why did you not catalog inventory Strock's phone when he 281 00:15:18,800 --> 00:15:20,800 Speaker 1: was terminated? Why did you allow the phone to be 282 00:15:20,840 --> 00:15:23,840 Speaker 1: wiped clean and be reissued without again getting the evidence? 283 00:15:24,040 --> 00:15:26,000 Speaker 1: Then I want to know, do you really the job 284 00:15:26,000 --> 00:15:29,280 Speaker 1: of the prosecutor to exonerate? Did you not complate the 285 00:15:29,320 --> 00:15:31,720 Speaker 1: prosecution's burden of proof? That's what I want to know. 286 00:15:32,280 --> 00:15:34,880 Speaker 1: That's just the beginning too, all right, Jay Secular, great work. 287 00:15:35,200 --> 00:15:38,200 Speaker 1: We'll have more. We'll dig down deeper tonight on Hannity 288 00:15:38,200 --> 00:15:40,960 Speaker 1: on the Fox News Channel. Jay Secular, Chief Council, American 289 00:15:41,040 --> 00:15:44,160 Speaker 1: Center for Law Injustice, two thirty am. We got here. 290 00:15:44,520 --> 00:15:46,680 Speaker 1: This valley is a big one. This is the mother 291 00:15:46,720 --> 00:15:48,800 Speaker 1: of all rallies to night. Melanie is going to be here, 292 00:15:48,880 --> 00:15:51,120 Speaker 1: his whole family is going to be here. The first lady, 293 00:15:51,280 --> 00:15:54,840 Speaker 1: the second lady, Vice President of Mike Pence will be here. 294 00:15:54,880 --> 00:15:58,320 Speaker 1: And it's a big announcement for twenty twenty. I was 295 00:15:58,360 --> 00:16:00,920 Speaker 1: second in line and the Trump rally in Panama City, 296 00:16:01,280 --> 00:16:04,720 Speaker 1: and she was like fourth. So we met there. This 297 00:16:04,840 --> 00:16:07,840 Speaker 1: time in history for our nation is critical because of 298 00:16:07,880 --> 00:16:09,840 Speaker 1: the shape our country has been in for so long, 299 00:16:09,920 --> 00:16:12,960 Speaker 1: because the fact that the politicians have put themselves so 300 00:16:13,000 --> 00:16:15,440 Speaker 1: far above the people that our nation was about to fail. 301 00:16:15,720 --> 00:16:17,920 Speaker 1: And if it wasn't for Trump, our nation would have 302 00:16:17,960 --> 00:16:21,760 Speaker 1: already failed. But we've been attacked in so many different ways. 303 00:16:21,920 --> 00:16:24,320 Speaker 1: We're all united. I mean I just talked to Democrats. 304 00:16:24,360 --> 00:16:26,240 Speaker 1: I get along with them. But if you're going, if 305 00:16:26,240 --> 00:16:32,040 Speaker 1: you watch CNN, MSNBC, ABC, NBC, they're just stirring the pot. 306 00:16:32,440 --> 00:16:34,600 Speaker 1: And he's save in America. He loves this country, he 307 00:16:34,680 --> 00:16:37,000 Speaker 1: loves us. He loves us like family, and we love 308 00:16:37,080 --> 00:16:39,400 Speaker 1: him back like family. He wants to save the nation. 309 00:16:39,680 --> 00:16:43,480 Speaker 1: Trump cares about America. He can't be bought. He's an American. 310 00:16:43,800 --> 00:16:47,920 Speaker 1: He built America. He worked hard, and he's our president 311 00:16:47,960 --> 00:16:49,720 Speaker 1: and I'm proud of him. And it's a critical time 312 00:16:49,720 --> 00:16:51,600 Speaker 1: in history. If we don't all stand up, there's a 313 00:16:51,600 --> 00:16:53,440 Speaker 1: good chance Lady Liberty, he won't make it. But that 314 00:16:53,440 --> 00:16:56,040 Speaker 1: won't ever happen because we got Trump. I like to 315 00:16:56,080 --> 00:16:58,360 Speaker 1: be up front and close and see him. I usually 316 00:16:58,360 --> 00:17:00,080 Speaker 1: stand right in front of the podium when he comes 317 00:17:00,080 --> 00:17:03,600 Speaker 1: out and they play that song Lead Greenwood and the Tears, 318 00:17:03,600 --> 00:17:05,720 Speaker 1: the goose Bumps, and he's looking at us and his 319 00:17:05,840 --> 00:17:08,119 Speaker 1: point and his winking. It's just an amazing feeling to 320 00:17:08,160 --> 00:17:10,920 Speaker 1: be out of rally. Everybody should come experience a Trump rally. 321 00:17:11,280 --> 00:17:16,160 Speaker 1: It's amazing feeling here. It's too great. Everybody's happy they're 322 00:17:16,160 --> 00:17:19,080 Speaker 1: going to see Trump. Were like the first hun line. 323 00:17:19,080 --> 00:17:23,119 Speaker 1: Are better, Thank you very much. Everybody's looking out for everybody. 324 00:17:23,520 --> 00:17:25,480 Speaker 1: He's doing the right thing because he's looking out for 325 00:17:25,520 --> 00:17:29,040 Speaker 1: the country. He's not looking out for the bureaucrats. He's 326 00:17:29,040 --> 00:17:31,640 Speaker 1: looking out for us common people that work every day 327 00:17:31,680 --> 00:17:34,600 Speaker 1: and have to pay the taxes and support all the 328 00:17:34,640 --> 00:17:37,800 Speaker 1: people that are living off the taxes, and he's looking 329 00:17:37,800 --> 00:17:40,280 Speaker 1: out for us. It really looking at Trump. We flew 330 00:17:40,359 --> 00:17:43,040 Speaker 1: from Boston. We live in Cape Cod why'd you come 331 00:17:43,040 --> 00:17:45,320 Speaker 1: all the way down here for this? Because we're Trumpsters. 332 00:17:45,359 --> 00:17:48,119 Speaker 1: We love President A. Trump. I used to wait in 333 00:17:48,200 --> 00:17:52,240 Speaker 1: line like this and hitchhike to Grateful Dead. That's what 334 00:17:52,320 --> 00:17:57,760 Speaker 1: it reminds me of. My eye was there, buttons. You'll 335 00:17:57,760 --> 00:17:59,679 Speaker 1: have to look at the restaurant. I'll just keep turning 336 00:18:00,680 --> 00:18:02,960 Speaker 1: because I think they sat under butt for eight years 337 00:18:03,000 --> 00:18:06,080 Speaker 1: whining about Obama and then didn't have anything ready to 338 00:18:06,119 --> 00:18:09,639 Speaker 1: go to correct things. So Trump supporter, but still wanting 339 00:18:09,640 --> 00:18:12,400 Speaker 1: to hold the Republican's accountable. Absolutely, So the swamp still 340 00:18:12,440 --> 00:18:15,440 Speaker 1: needs to be well, the swamp needs to be drained. Yes, absolutely, 341 00:18:15,520 --> 00:18:17,760 Speaker 1: I think Mitch McConnell and a whole bunch of them 342 00:18:17,760 --> 00:18:23,639 Speaker 1: are just covering their butts, And yeah, I hope a 343 00:18:23,680 --> 00:18:26,240 Speaker 1: lot of the Republicans. I hope new ones get voted in. 344 00:18:26,400 --> 00:18:28,440 Speaker 1: All right, that's from the rally. I mean, it's amazing. 345 00:18:28,520 --> 00:18:32,320 Speaker 1: Forty plus hours earlier, somewhat one hundred and fifty thousand 346 00:18:32,359 --> 00:18:35,400 Speaker 1: people wanting to attend a little more than Joe Biden's 347 00:18:35,520 --> 00:18:39,159 Speaker 1: eighty five people. Pretty unbelievable, And it's gonna be a 348 00:18:39,160 --> 00:18:41,560 Speaker 1: big party tonight. And they literally were out and a 349 00:18:41,680 --> 00:18:45,000 Speaker 1: pouring rain in Orlando yesterday. Anyway, glad you with US 350 00:18:45,040 --> 00:18:50,040 Speaker 1: News round Up, Information Overload our Sean Hannity Show. Kaylee mcinaney, 351 00:18:50,119 --> 00:18:54,360 Speaker 1: National Press secretary for the Trump twenty twenty campaign. Our 352 00:18:54,400 --> 00:18:58,040 Speaker 1: friend Jeff Lord, author of Swamp Wars, Donald Trump and 353 00:18:58,119 --> 00:19:02,439 Speaker 1: the New American Populism versus the Old Order. He is 354 00:19:02,480 --> 00:19:05,119 Speaker 1: going to be in a bar drinking during this tonight. 355 00:19:05,160 --> 00:19:08,720 Speaker 1: I don't know what the drinking game is, but welcome 356 00:19:08,760 --> 00:19:11,800 Speaker 1: both of you. Kaylee. You're on the ground, you're in Orlando, 357 00:19:11,880 --> 00:19:17,160 Speaker 1: You're with the crowd. How many people would you estimated there? Hey, Sean, Yeah, 358 00:19:17,200 --> 00:19:19,679 Speaker 1: I'm here in the Amway Center now, it's safe to 359 00:19:19,680 --> 00:19:22,400 Speaker 1: say there are tens of thousands. There are people everywhere. 360 00:19:22,440 --> 00:19:25,920 Speaker 1: It started pouring rain. We made an inclement weather announcement. 361 00:19:25,960 --> 00:19:28,560 Speaker 1: There are people standing out here with their umbrellas as 362 00:19:28,560 --> 00:19:32,520 Speaker 1: you're hearing thunder, rain pouring down. It's incredible. This is 363 00:19:32,520 --> 00:19:35,240 Speaker 1: psych excitements like nothing I've ever seen. People camping out 364 00:19:35,280 --> 00:19:38,720 Speaker 1: for two blocks. Women. They say there are female Trump quarters. 365 00:19:38,680 --> 00:19:43,360 Speaker 1: Guess what there are at Black Americans, Hispanic Americans, people everywhere, 366 00:19:43,400 --> 00:19:46,159 Speaker 1: And it's the excitement you could feel it. Wow. And 367 00:19:46,440 --> 00:19:48,960 Speaker 1: and how many people would you say overall they're already? 368 00:19:49,080 --> 00:19:52,639 Speaker 1: And how many people were camped out overnight? You know, 369 00:19:52,640 --> 00:19:54,600 Speaker 1: we don't have an estimate for who's here now, but 370 00:19:54,640 --> 00:19:56,800 Speaker 1: I would say it's safe to say tens of thousands 371 00:19:56,920 --> 00:19:59,560 Speaker 1: here now waiting in lines of having a stafferned out 372 00:19:59,600 --> 00:20:02,920 Speaker 1: to me tens of thousand. Last night, I would say 373 00:20:02,960 --> 00:20:05,560 Speaker 1: there was about three quarters of a mile of people 374 00:20:05,600 --> 00:20:09,399 Speaker 1: with tents all lined up, just sleeping out, loud, sleeping 375 00:20:09,400 --> 00:20:11,080 Speaker 1: out there, ready to go, ready to go for the 376 00:20:11,080 --> 00:20:13,880 Speaker 1: president in rains, I kid you not, in their tenth 377 00:20:14,000 --> 00:20:17,919 Speaker 1: in rain. Wow, unbelievable. Now is it a party atmosphere? 378 00:20:17,960 --> 00:20:19,680 Speaker 1: Is it a fun atmosphere. I mean, you get those 379 00:20:19,720 --> 00:20:24,280 Speaker 1: Florida you know, late afternoon thunderstorms, but actually it ends 380 00:20:24,359 --> 00:20:26,120 Speaker 1: up cool in the place, off pretty good, and then 381 00:20:26,119 --> 00:20:30,520 Speaker 1: it stops fairly quickly. Now I assume, because you're connected, 382 00:20:30,600 --> 00:20:33,640 Speaker 1: Kaylee mcinanny, and you are the National Press Press secretary 383 00:20:33,720 --> 00:20:36,400 Speaker 1: for Trump twenty twenty in the re election campaign, I'm 384 00:20:36,440 --> 00:20:39,840 Speaker 1: assuming you're gonna have a pretty good seat tight. I 385 00:20:39,920 --> 00:20:42,119 Speaker 1: will I will have a very good seed from a 386 00:20:42,160 --> 00:20:44,120 Speaker 1: skybox here. But I can tell you this, the best 387 00:20:44,119 --> 00:20:48,040 Speaker 1: feat is surrounded by these amazing supporters. It's a party atmosphere, 388 00:20:48,119 --> 00:20:52,040 Speaker 1: exactly like you said, there's fun, there's music outside. They 389 00:20:52,040 --> 00:20:54,720 Speaker 1: were just playing three Birds from Leonard Skinner, and there 390 00:20:54,760 --> 00:20:57,120 Speaker 1: was done other than Wallman, who made an appearance Toohn 391 00:20:57,200 --> 00:21:00,639 Speaker 1: you'll remember having in his brick lawsuits. So pretty exciting 392 00:21:00,760 --> 00:21:03,840 Speaker 1: night for us. Wow. And all right, So Jeff Lord, 393 00:21:04,080 --> 00:21:08,280 Speaker 1: by the way, very early on, knew that Trump phenomenon 394 00:21:08,359 --> 00:21:11,080 Speaker 1: was happening, and thus he had his first best selling book, 395 00:21:12,560 --> 00:21:14,919 Speaker 1: tell us what your plans aren't tonight? Because you're cracking 396 00:21:14,920 --> 00:21:17,359 Speaker 1: me up. I have to work on obviously, but go ahead. 397 00:21:18,240 --> 00:21:20,960 Speaker 1: I just knew I had to pass this on to Trump. 398 00:21:21,040 --> 00:21:25,600 Speaker 1: Supporters here are gathering. They've taken over a tavern here 399 00:21:25,640 --> 00:21:30,080 Speaker 1: in the little borough of New Cumberland, Pennsylvania, and there's 400 00:21:30,240 --> 00:21:33,560 Speaker 1: it's a watch the Speech party, and it's gotten so 401 00:21:33,680 --> 00:21:36,640 Speaker 1: large now that they say that that your shoe tickets 402 00:21:37,240 --> 00:21:41,119 Speaker 1: to this event. But believe me, this is a central 403 00:21:41,119 --> 00:21:44,200 Speaker 1: Pennsylvania version of what Kayley is seeing. I mean, these 404 00:21:44,240 --> 00:21:48,480 Speaker 1: people are really ginned up about President Trump and they're gonna, 405 00:21:48,760 --> 00:21:51,600 Speaker 1: you know, turn out and support him. This is just 406 00:21:51,680 --> 00:21:54,000 Speaker 1: over the border. One of the sponsors of this is 407 00:21:54,040 --> 00:21:57,639 Speaker 1: that York Republicans York County, which is adjacent to us here, 408 00:21:58,280 --> 00:22:01,360 Speaker 1: and I spoke there ago and before I went down 409 00:22:01,359 --> 00:22:05,960 Speaker 1: to speak, I took a look at the twenty sixteen returns. 410 00:22:06,320 --> 00:22:09,520 Speaker 1: Your county gave Donald Trump sixty three percent of the 411 00:22:09,600 --> 00:22:13,880 Speaker 1: vote and played a real role in carrying Pennsylvania for him. So, 412 00:22:14,280 --> 00:22:16,760 Speaker 1: in other words, these are the same folks and they 413 00:22:16,760 --> 00:22:20,960 Speaker 1: are turning out and they're getting ready to do it again. Wow. Unbelievable. 414 00:22:21,000 --> 00:22:23,560 Speaker 1: And you know when I told you that story that 415 00:22:23,720 --> 00:22:27,800 Speaker 1: you know in Pennsylvania the jobs are so in abundance 416 00:22:28,359 --> 00:22:32,359 Speaker 1: that they're literally having job fairs in prison. We didn't 417 00:22:32,400 --> 00:22:36,200 Speaker 1: make that up. That's really happening. Oh, absolutely it's happening. 418 00:22:36,680 --> 00:22:39,120 Speaker 1: I can't tell you. Every time I drive around here, 419 00:22:39,600 --> 00:22:42,240 Speaker 1: I see now hiring signs. I go into stores and 420 00:22:42,240 --> 00:22:44,919 Speaker 1: they're hiring for this, they're hiring for that. It is 421 00:22:45,000 --> 00:22:47,280 Speaker 1: all over the place and around In fact, I saw 422 00:22:47,320 --> 00:22:49,280 Speaker 1: a sign just the other day for a job fair 423 00:22:49,720 --> 00:22:53,440 Speaker 1: around here. So absolutely, this is a very big deal 424 00:22:53,520 --> 00:22:57,240 Speaker 1: and people get it for sure. Well, I think it's obvious. 425 00:22:57,320 --> 00:22:59,840 Speaker 1: I mean again, when you compare and contrast, you know, 426 00:23:00,400 --> 00:23:03,280 Speaker 1: when you compare, you know, Kaylee, we could look at 427 00:23:03,320 --> 00:23:06,680 Speaker 1: the size of crowds and you could see enthusiasm. That's 428 00:23:06,680 --> 00:23:09,679 Speaker 1: what I see. And this is not just enthusiasm, this 429 00:23:09,760 --> 00:23:12,320 Speaker 1: is passion. I was kidding around last night with Karl 430 00:23:12,359 --> 00:23:15,119 Speaker 1: Rove and Ari Fleischer, and I said, you know, I 431 00:23:15,800 --> 00:23:19,439 Speaker 1: would think that if Carl Rove played guitar, and you know, 432 00:23:19,520 --> 00:23:23,720 Speaker 1: like maybe Jimmy Page of Zeppelin or Jimmy Hendricks, and 433 00:23:23,960 --> 00:23:26,520 Speaker 1: then we had let's say Ari Fleischer could play the 434 00:23:26,560 --> 00:23:31,280 Speaker 1: piano like Elton John and and piano man himself, Billy Joel, 435 00:23:31,400 --> 00:23:35,000 Speaker 1: and let's say I could sing like Roger Daltrey. I 436 00:23:35,000 --> 00:23:37,159 Speaker 1: don't think we'd have crowds that big waiting for us 437 00:23:37,200 --> 00:23:40,720 Speaker 1: the night before. I just don't Yeah, I don't think so. 438 00:23:40,880 --> 00:23:43,399 Speaker 1: There's been nothing like this in modern political history. I mean, 439 00:23:43,520 --> 00:23:47,560 Speaker 1: think about this, more than one hundred thousand rsvts. That 440 00:23:47,760 --> 00:23:51,920 Speaker 1: is absolutely incredible. Compare that to Joe Biden eighty five 441 00:23:52,040 --> 00:23:54,760 Speaker 1: person crowded Sean. Yeah, these are just any people, either 442 00:23:54,880 --> 00:23:57,399 Speaker 1: hard working Americans. I can tell you a veteran who 443 00:23:57,480 --> 00:24:00,240 Speaker 1: got out of intensive care after two weeks being in 444 00:24:00,240 --> 00:24:03,399 Speaker 1: intensive care, argued with his doctor. His wife tells the 445 00:24:03,440 --> 00:24:05,720 Speaker 1: doctor he's got to go. He's got to camp out 446 00:24:05,720 --> 00:24:08,400 Speaker 1: the night before the Trump rally. Camped out the night 447 00:24:08,520 --> 00:24:11,359 Speaker 1: before the Trump rally. And he said he's doing that 448 00:24:11,400 --> 00:24:13,800 Speaker 1: because he picked up the phone called the VA hotline. 449 00:24:14,119 --> 00:24:16,720 Speaker 1: I'm Laura Trump called him back. There's another lady today 450 00:24:16,760 --> 00:24:18,560 Speaker 1: I met just cut out of the hospital where we 451 00:24:18,560 --> 00:24:20,680 Speaker 1: could go, coming up in our wheelchair through the rain. 452 00:24:21,200 --> 00:24:25,920 Speaker 1: These are people who have passion exactly like you said. Wow, unbelievable, 453 00:24:26,000 --> 00:24:28,119 Speaker 1: you know, and look at what Biden. You know, we 454 00:24:28,240 --> 00:24:30,920 Speaker 1: did see something. I hate to admit this, whether true 455 00:24:31,040 --> 00:24:33,960 Speaker 1: or not. I mean, the whole Hope and Change Obama movement, 456 00:24:34,080 --> 00:24:36,439 Speaker 1: and I tried to be the voice of reason and 457 00:24:36,560 --> 00:24:41,200 Speaker 1: actually do some real vetting of this guy. But from 458 00:24:41,200 --> 00:24:45,800 Speaker 1: my perspective, you know, I'm just you know, blown away 459 00:24:45,800 --> 00:24:49,320 Speaker 1: by the fact that people don't think this enthusiasm factor matters. 460 00:24:49,359 --> 00:24:52,199 Speaker 1: And we talked to pollsters yesterday Jeff Lord on the program, 461 00:24:52,240 --> 00:24:55,280 Speaker 1: John Jim McLaughlin and Matt Towery and though like, yeah, 462 00:24:55,359 --> 00:24:58,639 Speaker 1: it matters, Donald Trump does not pull like any other 463 00:24:58,760 --> 00:25:03,080 Speaker 1: political figure in history. Well, that's right. I was listening 464 00:25:03,160 --> 00:25:06,000 Speaker 1: yesterday and they were they were spot on. I have 465 00:25:06,080 --> 00:25:08,959 Speaker 1: a column on this as The American Spectator this morning, 466 00:25:09,000 --> 00:25:11,760 Speaker 1: and I opened it Sean with I mean, here they 467 00:25:11,760 --> 00:25:15,080 Speaker 1: are trying to project that five hundred some old days 468 00:25:15,119 --> 00:25:17,720 Speaker 1: before this election, Donald Trump is going to lose to 469 00:25:18,000 --> 00:25:20,439 Speaker 1: this that or the other Democrat. And I put a 470 00:25:20,480 --> 00:25:22,600 Speaker 1: link in the very opening of my column to a 471 00:25:22,640 --> 00:25:26,000 Speaker 1: New York Times story that ran. It was posted at 472 00:25:26,000 --> 00:25:30,239 Speaker 1: ten twenty election morning, twenty sixteen, and the headline was 473 00:25:30,840 --> 00:25:34,280 Speaker 1: Hillary Clinton has an eighty five percent chance of winning 474 00:25:34,359 --> 00:25:38,640 Speaker 1: the election. And they incited all of these polls, I mean, 475 00:25:38,760 --> 00:25:42,400 Speaker 1: and they were just totally wrong. And here they go again. Yeah, 476 00:25:42,440 --> 00:25:45,080 Speaker 1: and here they go again. You know, I think also 477 00:25:45,119 --> 00:25:47,359 Speaker 1: to the president could take a pretty big victory lap 478 00:25:47,400 --> 00:25:50,040 Speaker 1: here and I gave out all those statistics in twenty 479 00:25:50,080 --> 00:25:54,200 Speaker 1: sixteen and even earlier about how bad the Biden Obama 480 00:25:54,280 --> 00:25:57,679 Speaker 1: years are, and it's really, are you better off than 481 00:25:57,720 --> 00:25:59,920 Speaker 1: you are four years ago? It comes down to that 482 00:26:00,080 --> 00:26:02,920 Speaker 1: the answer. We have the best employment situation in this 483 00:26:03,080 --> 00:26:06,080 Speaker 1: country since nineteen sixty nine, the biggest tax cuts we've 484 00:26:06,119 --> 00:26:11,520 Speaker 1: had in history, the single biggest number of instances where 485 00:26:11,600 --> 00:26:17,080 Speaker 1: deregulation has taken place at an astronomical pace. We now 486 00:26:17,200 --> 00:26:21,000 Speaker 1: have literally two million more jobs than we have people 487 00:26:21,200 --> 00:26:25,520 Speaker 1: on unemployment, record low unemployment. When you break it down demographically, 488 00:26:25,560 --> 00:26:30,520 Speaker 1: Hispanic Americans, African Americans, Asian Americans, women in the workplace, youth, unemployed, 489 00:26:30,640 --> 00:26:33,720 Speaker 1: it's never been better. And America is stronger than it's 490 00:26:33,720 --> 00:26:37,040 Speaker 1: ever been before. So where do you run and say, well, 491 00:26:37,080 --> 00:26:41,119 Speaker 1: I'm gonna I hate Trump or Joe Biden mentions Trump 492 00:26:41,240 --> 00:26:44,480 Speaker 1: seventy six times in a day. Does that have any 493 00:26:44,520 --> 00:26:47,760 Speaker 1: impact either one of you? Well, yeah, I think it 494 00:26:47,800 --> 00:26:50,440 Speaker 1: does have an impact. I mean one of the things 495 00:26:50,480 --> 00:26:52,280 Speaker 1: that's going to be key here, if in fact this 496 00:26:52,400 --> 00:26:55,320 Speaker 1: does turn out to be Joe Biden as the nominee, 497 00:26:55,520 --> 00:26:58,560 Speaker 1: he's going to have to defend the Obama years all 498 00:26:58,600 --> 00:27:00,639 Speaker 1: of it, and he's going to be tagged with it 499 00:27:00,760 --> 00:27:03,479 Speaker 1: big time, and you can bet that the president, President 500 00:27:03,520 --> 00:27:06,680 Speaker 1: Trump will not let him get away with it. Right. No, 501 00:27:06,840 --> 00:27:09,840 Speaker 1: I don't think so either. I mean I actually can't. 502 00:27:09,880 --> 00:27:11,800 Speaker 1: I don't know who it's gonna be. I don't think 503 00:27:11,880 --> 00:27:14,560 Speaker 1: Joe Biden. Maybe I'm wrong, Kaylie. I don't see any 504 00:27:14,640 --> 00:27:17,320 Speaker 1: energy in him. I don't see any excitement about him. 505 00:27:17,640 --> 00:27:20,679 Speaker 1: I see that he's like trying to get some energy 506 00:27:20,680 --> 00:27:22,560 Speaker 1: and he's trying to dig down deep, but he just 507 00:27:22,600 --> 00:27:25,320 Speaker 1: doesn't have it. I don't see that he has any 508 00:27:25,400 --> 00:27:29,000 Speaker 1: charisma at all. He has none. And it was so 509 00:27:29,119 --> 00:27:31,960 Speaker 1: interesting this week last week, rather to watch the two 510 00:27:32,000 --> 00:27:34,600 Speaker 1: shot of Joe Biden and President Trump, and you have 511 00:27:34,640 --> 00:27:39,359 Speaker 1: President Trump up there off the cost being real, being authentic, 512 00:27:39,480 --> 00:27:42,159 Speaker 1: being the person who won the presidency because he spoke 513 00:27:42,240 --> 00:27:44,879 Speaker 1: from the heart, and you have Joe Biden trying to 514 00:27:44,960 --> 00:27:48,439 Speaker 1: muster enough energy to make it through a primary, staring 515 00:27:48,520 --> 00:27:51,480 Speaker 1: down at his sheet as he reads off criticisms of 516 00:27:51,560 --> 00:27:53,840 Speaker 1: President Trump. He of course had seventy six of them. 517 00:27:54,080 --> 00:27:56,960 Speaker 1: He's reading them off of a piece of paper. Bill energy, 518 00:27:57,040 --> 00:28:00,680 Speaker 1: Joe charisma, bill passion, and certainly know and tis those 519 00:28:00,720 --> 00:28:03,960 Speaker 1: were scripted as we're written. Those were poltastic focus group points, 520 00:28:04,200 --> 00:28:08,200 Speaker 1: just like Hillary Clinton didn't work the first time. I'll 521 00:28:08,200 --> 00:28:09,720 Speaker 1: tell you what it helps, you know, And I gotta 522 00:28:09,720 --> 00:28:12,400 Speaker 1: take a break more with Kaylee mcinanny. She's down in Orlando. 523 00:28:12,480 --> 00:28:15,040 Speaker 1: This is gonna be a huge rally tonight. It starts 524 00:28:15,040 --> 00:28:17,480 Speaker 1: at eight. I'm sure it'll bleed into my hour at 525 00:28:17,600 --> 00:28:20,280 Speaker 1: nine on Fox, and of course we'll have full coverage 526 00:28:20,359 --> 00:28:24,360 Speaker 1: thereafter and my monologue. But I gotta tell you that 527 00:28:24,600 --> 00:28:27,720 Speaker 1: if you want sleepy, creepy, crazy Uncle Joe, you want 528 00:28:27,720 --> 00:28:29,639 Speaker 1: to go to sleep, that would help. But it's not 529 00:28:29,680 --> 00:28:32,480 Speaker 1: as good as my pillow, My pillow. I look, I'm 530 00:28:32,480 --> 00:28:35,000 Speaker 1: an insomniac, but I sleep better, better than ever. I 531 00:28:35,040 --> 00:28:37,960 Speaker 1: fall asleep faster, I stay asleep longer. You can too. 532 00:28:38,320 --> 00:28:41,600 Speaker 1: And right now, Mike Lindell, the creator of My Pillow, 533 00:28:41,680 --> 00:28:44,840 Speaker 1: is offering his lowest price ever. You get a two 534 00:28:44,880 --> 00:28:48,520 Speaker 1: pack My Pillow Premium Pillow sixty nine ninety eight thirty 535 00:28:48,560 --> 00:28:52,160 Speaker 1: four ninety nine per pillow, only available my pillow dot 536 00:28:52,200 --> 00:28:55,280 Speaker 1: Com toll free. It's eight hundred nine one nine six 537 00:28:55,360 --> 00:28:58,800 Speaker 1: zero nine zero promo code, Hannity, Remember my pillows made 538 00:28:58,960 --> 00:29:02,880 Speaker 1: in the US has a sixty day unconditional money back 539 00:29:02,920 --> 00:29:05,560 Speaker 1: guarrantee of ten year warranty and I'm just telling you 540 00:29:05,640 --> 00:29:09,880 Speaker 1: it works. It is the greatest pillow, the greatest sleep 541 00:29:09,960 --> 00:29:13,520 Speaker 1: aid ever my pillow dot Com eight hundred nine nine 542 00:29:13,640 --> 00:29:17,120 Speaker 1: six zero nine zero. It is literally the best deal 543 00:29:17,240 --> 00:29:20,800 Speaker 1: ever and you will get the sleep you crave and deserve. 544 00:29:26,880 --> 00:29:31,680 Speaker 1: Hannity Watch keeping an eye on breaking news and bringing 545 00:29:31,760 --> 00:30:04,640 Speaker 1: it to you first, Sean Hannity. Right as we continue, 546 00:30:04,680 --> 00:30:08,320 Speaker 1: Kaylee mcinane, he's the national Press secretary. Trump twenty twenty 547 00:30:08,360 --> 00:30:11,960 Speaker 1: campaign is down in Orlando. Crowd's massive already and they 548 00:30:11,960 --> 00:30:15,120 Speaker 1: have been. I want to see what the crowd outside 549 00:30:15,160 --> 00:30:17,040 Speaker 1: is going to be like tonight. You have well over 550 00:30:17,080 --> 00:30:20,720 Speaker 1: one hundred, one hundred and fifty thousand people wanting to go. Uh, 551 00:30:20,960 --> 00:30:24,840 Speaker 1: people lining up forty plus hours before the president's announcement tonight. 552 00:30:25,360 --> 00:30:28,840 Speaker 1: And as Kayley has been describing, it's also like a 553 00:30:28,840 --> 00:30:32,120 Speaker 1: fun party atmosphere. It's sort of like a how do 554 00:30:32,160 --> 00:30:34,440 Speaker 1: you describe? Maybe it's sort of like, you know, before 555 00:30:34,480 --> 00:30:37,360 Speaker 1: a football game and you're, you know, what do you 556 00:30:37,400 --> 00:30:42,120 Speaker 1: call it? With them? You're you're out tailgating. Yeah, see 557 00:30:42,120 --> 00:30:45,360 Speaker 1: how we went to college. Yeah, that's right. This is 558 00:30:45,360 --> 00:30:47,920 Speaker 1: this is the biggest ESPN game day. You could imagine, 559 00:30:47,960 --> 00:30:51,600 Speaker 1: food trucks outside, live music. We're about to go live 560 00:30:51,720 --> 00:30:54,680 Speaker 1: on the President's Facebook and and look, this is just 561 00:30:54,960 --> 00:30:58,160 Speaker 1: exciting outside. There's no doubt it's gonna be a party outside. 562 00:30:58,360 --> 00:31:00,240 Speaker 1: Someone asked me how long does the tailgate going on? 563 00:31:00,240 --> 00:31:03,000 Speaker 1: It's about forty five. That's it's going all night. I mean, 564 00:31:03,040 --> 00:31:06,440 Speaker 1: this is the enthusiasm. People are so pumped that President 565 00:31:06,480 --> 00:31:08,720 Speaker 1: Trumps announcing his reelection. I had one woman tell me 566 00:31:09,000 --> 00:31:11,560 Speaker 1: I don't want to become a US citizen under President Obama. 567 00:31:12,000 --> 00:31:14,320 Speaker 1: I changed my mind. I'm a citizen right now. Just 568 00:31:14,520 --> 00:31:16,880 Speaker 1: got my citizenship thanks to President Trump. That he's out 569 00:31:16,880 --> 00:31:20,200 Speaker 1: there celebrating, that's awesome. And you know, so you're gonna 570 00:31:20,200 --> 00:31:23,600 Speaker 1: be drinking. What's your drink? A choice? Jeff Lord just curious. Oh, 571 00:31:23,680 --> 00:31:25,600 Speaker 1: I'll have to do the white wine here. I've long 572 00:31:25,680 --> 00:31:29,960 Speaker 1: ago past those days. You know what we'll do next time, 573 00:31:30,040 --> 00:31:32,760 Speaker 1: Jeff and Kaylee is we'll have Sean at the next 574 00:31:32,760 --> 00:31:34,960 Speaker 1: Trump rally and he can get up on stage and sing. 575 00:31:35,600 --> 00:31:37,520 Speaker 1: So then we'll have that. We'll have that. We will 576 00:31:37,600 --> 00:31:39,120 Speaker 1: do it, and you know what he sings best is 577 00:31:39,200 --> 00:31:41,760 Speaker 1: Charlie Daniels, So as Charlie Daniels to come to the rally. 578 00:31:42,560 --> 00:31:44,960 Speaker 1: If you've ever seen Sean sing, it's it's just a 579 00:31:45,080 --> 00:31:47,480 Speaker 1: wonder all right, you know what, you really love it. 580 00:31:48,120 --> 00:31:50,880 Speaker 1: By the way, she saw that performance at a party. 581 00:31:50,920 --> 00:31:53,480 Speaker 1: As I've seen you recalling. I think you did there. Jeff, 582 00:31:53,480 --> 00:31:56,080 Speaker 1: well done, sir, very well done. You know, I don't 583 00:31:56,080 --> 00:31:57,800 Speaker 1: even know what to say here I gotta tell you, 584 00:31:57,960 --> 00:32:00,640 Speaker 1: but you know, anyway, have a good time. We'll be 585 00:32:00,680 --> 00:32:05,320 Speaker 1: looking for you in the massive crowd indoors. Kaylee mcinanny tonight, 586 00:32:05,400 --> 00:32:08,080 Speaker 1: and Jeff Lord, congrats on the new book. By the way, 587 00:32:08,080 --> 00:32:10,920 Speaker 1: we have it up on Hannity dot com, Amazon dot com, 588 00:32:10,960 --> 00:32:14,920 Speaker 1: bookstores everywhere. Swamp Wars Donald Trump and the New American 589 00:32:14,960 --> 00:32:19,800 Speaker 1: populism versus the old order. Both very key, very instrumental 590 00:32:19,960 --> 00:32:23,600 Speaker 1: battling back against the medium mob, and they, frankly both 591 00:32:23,640 --> 00:32:27,800 Speaker 1: deserve medals of freedom the time. Thank you, son, and 592 00:32:27,840 --> 00:32:32,080 Speaker 1: I will raise a glass to you and the president group. 593 00:32:32,280 --> 00:32:34,280 Speaker 1: I had a group of volunteers stay last night where 594 00:32:34,360 --> 00:32:37,360 Speaker 1: Sean Hannity, He's our hero. We want him here. Lawrence 595 00:32:37,440 --> 00:32:39,360 Speaker 1: Jones is down there being a rock star. I don't 596 00:32:39,360 --> 00:32:40,800 Speaker 1: know if you've caught up with him yet, but he's 597 00:32:40,800 --> 00:32:46,440 Speaker 1: having the time of his life. Well, I'm gonna be 598 00:32:46,480 --> 00:32:48,840 Speaker 1: out on the campaign trail. Tell everybody letting out there 599 00:32:49,040 --> 00:32:51,280 Speaker 1: their little hearts be troubled. They'll they'll be sick of 600 00:32:51,400 --> 00:32:54,720 Speaker 1: seeing me by the end of the campaign. All right, quick, 601 00:32:54,960 --> 00:32:58,480 Speaker 1: quick break, Well come back, We'll continue. And on the 602 00:32:58,480 --> 00:33:02,400 Speaker 1: other side, the great Kate Hopkins and Rose Tennant all 603 00:33:02,440 --> 00:33:06,320 Speaker 1: straight ahead. Do understand that I and other progressives will 604 00:33:06,400 --> 00:33:10,120 Speaker 1: face massive attacks from those who attempt to use the 605 00:33:10,160 --> 00:33:13,600 Speaker 1: word socialism as a slur. But I should also tell 606 00:33:13,640 --> 00:33:17,960 Speaker 1: you that I have faced and overcome these attacks for decades, 607 00:33:18,440 --> 00:33:22,280 Speaker 1: and I am not the only one. Now, let us 608 00:33:22,640 --> 00:33:26,560 Speaker 1: be very clear. While President Trump and his fellow oligoques 609 00:33:27,280 --> 00:33:33,320 Speaker 1: attack us for our support of democratic socialism, they don't 610 00:33:33,400 --> 00:33:40,360 Speaker 1: really oppose all forms of socialism. They may hate democratic 611 00:33:40,440 --> 00:33:46,480 Speaker 1: socialism because it benefits working people, but they absolutely love 612 00:33:47,000 --> 00:33:53,280 Speaker 1: corporate socialism that it riches Trump and other billionaires. Our job, 613 00:33:53,440 --> 00:33:57,840 Speaker 1: seventy five years later is to complete what Roosevelt started, 614 00:33:58,560 --> 00:34:01,720 Speaker 1: and that is why today I am proposing a twenty 615 00:34:01,840 --> 00:34:07,600 Speaker 1: first century economic Bill of Rights, a bill of rights 616 00:34:07,640 --> 00:34:13,200 Speaker 1: that establishes one sent for all that every American, regardless 617 00:34:13,239 --> 00:34:17,640 Speaker 1: of his or her income, is entitled to the right 618 00:34:17,719 --> 00:34:24,440 Speaker 1: to a decent job that pays a living wage, the 619 00:34:24,680 --> 00:34:31,160 Speaker 1: right to quality healthcare, the right to a complete education, 620 00:34:32,360 --> 00:34:37,440 Speaker 1: the right to affordable housing, the right to a clean environment, 621 00:34:38,040 --> 00:34:40,799 Speaker 1: and the right to a secure retirement. As you know, 622 00:34:40,880 --> 00:34:43,360 Speaker 1: the taxes in many of those countries are much higher 623 00:34:43,400 --> 00:34:46,480 Speaker 1: than they are in the individual personal tax and much 624 00:34:46,520 --> 00:34:48,800 Speaker 1: higher than they are in the state. But I suspect 625 00:34:48,800 --> 00:34:50,520 Speaker 1: that a lot of people in this country would be 626 00:34:50,520 --> 00:34:53,560 Speaker 1: delighted to pay more in taxes if they had health 627 00:34:54,000 --> 00:34:59,360 Speaker 1: if they had comprehensive healthcare as a human right. Yeah, okay, 628 00:34:59,440 --> 00:35:02,320 Speaker 1: twenty four now till the top of the hour. Gladuate 629 00:35:02,320 --> 00:35:04,719 Speaker 1: with US eight hundred and nine for one. Sean told 630 00:35:04,719 --> 00:35:06,279 Speaker 1: free telephone number. You want to be a part of 631 00:35:06,280 --> 00:35:09,080 Speaker 1: the program, everything's free. Well, we've tried this everywhere in 632 00:35:09,080 --> 00:35:11,560 Speaker 1: the world. It never works. It never were It is 633 00:35:11,600 --> 00:35:17,560 Speaker 1: the single biggest lie that governments perpetuate, and they literally 634 00:35:17,640 --> 00:35:21,040 Speaker 1: every single time. It ends up that the few, the rich, 635 00:35:21,200 --> 00:35:25,000 Speaker 1: the power hungry. They use false promises play on people's 636 00:35:25,120 --> 00:35:27,319 Speaker 1: fears that everything in their life is going to be 637 00:35:27,400 --> 00:35:31,200 Speaker 1: handled they never can ever deliver what they promise, but 638 00:35:31,320 --> 00:35:35,439 Speaker 1: they do great. That's how that story would ever end 639 00:35:35,680 --> 00:35:38,600 Speaker 1: in this country. And meanwhile, we have now, for the 640 00:35:38,680 --> 00:35:42,799 Speaker 1: first time in what forever, we're energy independent, and which 641 00:35:42,840 --> 00:35:46,680 Speaker 1: would literally lift the standard of living of every American 642 00:35:46,719 --> 00:35:50,480 Speaker 1: to levels we'd never dreamed of. If we now produce 643 00:35:50,719 --> 00:35:53,959 Speaker 1: the energy that we're capable of producing, we are the 644 00:35:54,000 --> 00:35:59,319 Speaker 1: world's biggest reserves natural gas, oil, coal. Look at the 645 00:35:59,320 --> 00:36:03,040 Speaker 1: phenomenon in Pennsylvania, you know, really job fairs in jail 646 00:36:03,120 --> 00:36:05,160 Speaker 1: because we don't have enough workers. When do you get out, 647 00:36:05,160 --> 00:36:07,440 Speaker 1: we want to hire you. I had never heard of 648 00:36:07,480 --> 00:36:10,240 Speaker 1: that before. So good luck to you know, creepy, sleepy, 649 00:36:10,280 --> 00:36:13,879 Speaker 1: crazy uncle Joe Win in Pennsylvania joining us now. It's 650 00:36:13,920 --> 00:36:16,760 Speaker 1: so great to have her back in studio. I can't 651 00:36:16,800 --> 00:36:22,080 Speaker 1: believe it. Katie Hopkins from across the Pond is visiting. Well, 652 00:36:22,080 --> 00:36:24,719 Speaker 1: that means that there's going to be some restaurant bar 653 00:36:24,840 --> 00:36:27,840 Speaker 1: tonight that is going to be very loud with Linda 654 00:36:27,920 --> 00:36:31,680 Speaker 1: and Katie Hopkins and Rose Tenant, by the way, who 655 00:36:31,840 --> 00:36:34,919 Speaker 1: is our friend from PA in Pittsburgh and longtime friend 656 00:36:34,920 --> 00:36:37,520 Speaker 1: of the program. And good to see you all. How 657 00:36:38,120 --> 00:36:39,839 Speaker 1: y'all what are you doing here? From across the man 658 00:36:40,000 --> 00:36:42,840 Speaker 1: we're gonna cuss trouble. I think now I'm here, Sean, 659 00:36:43,200 --> 00:36:45,560 Speaker 1: causing trouble in the States, as you can rely on 660 00:36:45,600 --> 00:36:48,080 Speaker 1: me and those clips that you just played there. I mean, really, 661 00:36:48,120 --> 00:36:51,280 Speaker 1: we are not all equals. Some people are less deserving 662 00:36:51,320 --> 00:36:53,879 Speaker 1: than others. We have to accept some people on this 663 00:36:53,920 --> 00:36:56,279 Speaker 1: planet need to be, you know, introduced to their own 664 00:36:56,320 --> 00:36:58,759 Speaker 1: reflection in a mirror. These are the sort of people 665 00:36:58,760 --> 00:37:01,400 Speaker 1: that Bernie Santis thinks equal to, and frankly we're not. 666 00:37:01,880 --> 00:37:04,560 Speaker 1: Some people are just stupid. A third of the UK 667 00:37:04,719 --> 00:37:07,200 Speaker 1: has an IQ less than eighty. I am not the 668 00:37:07,239 --> 00:37:09,320 Speaker 1: same as them, and I don't want to be included 669 00:37:09,360 --> 00:37:12,839 Speaker 1: with them. And these sort of socialists always pull everybody 670 00:37:12,880 --> 00:37:15,399 Speaker 1: down to the lowest common denominator and that's not good 671 00:37:15,520 --> 00:37:17,520 Speaker 1: enough for me. And I find it as downding Sean, 672 00:37:17,560 --> 00:37:20,640 Speaker 1: if you don't mind that the continued failures of socialism 673 00:37:20,640 --> 00:37:23,680 Speaker 1: are completely ignored or now it's being replaced by a 674 00:37:23,680 --> 00:37:27,319 Speaker 1: new narrative. They're calling it democratic socialism, and there's no 675 00:37:27,400 --> 00:37:30,800 Speaker 1: such thing as democratic socialism. I mean, your first election 676 00:37:30,880 --> 00:37:35,000 Speaker 1: under democratic socialism will be your last free election. And 677 00:37:35,160 --> 00:37:38,240 Speaker 1: he knows it and we know it, but unfortunately the masses, 678 00:37:38,239 --> 00:37:40,879 Speaker 1: as Katie just mentioned, do not know it. And when 679 00:37:40,920 --> 00:37:44,200 Speaker 1: we talk about how this is so appealing to the millennials, 680 00:37:44,239 --> 00:37:48,759 Speaker 1: it makes sense, doesn't it because everything responsibility in the 681 00:37:48,760 --> 00:37:51,319 Speaker 1: first place, right, love a government that's going to take 682 00:37:51,360 --> 00:37:54,560 Speaker 1: all responsibility for everything? What's the best way, the fastest 683 00:37:54,600 --> 00:37:56,880 Speaker 1: way to turn someone from being a democrat? You know, 684 00:37:56,960 --> 00:37:59,080 Speaker 1: awesome to get a job and pay tax there and 685 00:37:59,080 --> 00:38:01,600 Speaker 1: suddenly they wake up, go it's not quite as much 686 00:38:01,600 --> 00:38:03,440 Speaker 1: fun as I thought. But Sean, would you like to 687 00:38:03,480 --> 00:38:09,040 Speaker 1: be treated under the British National Health Service socialized ciment? Well, 688 00:38:09,160 --> 00:38:11,399 Speaker 1: let me ask you, my British friend, is that your 689 00:38:11,400 --> 00:38:14,400 Speaker 1: best British accent? Because the gobby one says it's terrible. 690 00:38:14,480 --> 00:38:19,600 Speaker 1: The gobby one chill out and um, you know, you 691 00:38:19,640 --> 00:38:23,839 Speaker 1: know what happens is you have these the royalty and 692 00:38:23,960 --> 00:38:30,160 Speaker 1: we is this is this your? And they curtsy and 693 00:38:30,520 --> 00:38:35,240 Speaker 1: there's Katie, please stop on, help you want to do Pakistan? 694 00:38:35,480 --> 00:38:37,799 Speaker 1: I can't work it out better. I can do a 695 00:38:37,880 --> 00:38:41,279 Speaker 1: better Linda. You know, let Linda really well do it. 696 00:38:41,760 --> 00:38:43,440 Speaker 1: I can do a better Lenda than you. I can 697 00:38:43,440 --> 00:38:46,280 Speaker 1: do Lenda. Sean, what what are you talking about twenty? 698 00:38:47,200 --> 00:38:50,719 Speaker 1: What's like? This is what's let the women talk? Shout 699 00:38:50,800 --> 00:38:54,080 Speaker 1: up for what Sean? We basically have British Linden in 700 00:38:54,120 --> 00:38:57,520 Speaker 1: the studio today anyway, So what do you want to say? 701 00:38:57,960 --> 00:39:01,640 Speaker 1: What's your point point? Linda's more like this though, Sean, 702 00:39:01,680 --> 00:39:04,160 Speaker 1: how are you doing? Listen? We gotta go to the 703 00:39:04,280 --> 00:39:10,520 Speaker 1: qual is and I'll say broadcasting from Singapore, No, no 704 00:39:10,520 --> 00:39:15,080 Speaker 1: where where Singapore. We're in Singapore. I'm like, no, do 705 00:39:15,120 --> 00:39:17,240 Speaker 1: you know, Sean, they're not allowed chewing gum in Singapore, 706 00:39:17,320 --> 00:39:20,200 Speaker 1: that's how tightly. Yeah, you're not allowed East Siggs there either, 707 00:39:20,239 --> 00:39:22,520 Speaker 1: but we snuck them in. Now that we're out of them, 708 00:39:22,560 --> 00:39:24,359 Speaker 1: we can you know, admit, there are a whole bunch 709 00:39:24,360 --> 00:39:29,160 Speaker 1: of jewels in my pocket. Rose Tenant, the voice of reason. Now, Rose, 710 00:39:29,520 --> 00:39:32,600 Speaker 1: The thing is is everybody becomes Linda's best friend, which 711 00:39:32,640 --> 00:39:36,160 Speaker 1: is really ah, here we go ahead, tell the world 712 00:39:36,160 --> 00:39:38,279 Speaker 1: how much you love what I do as there's something 713 00:39:38,320 --> 00:39:40,719 Speaker 1: about her that is so unique and you know it, Sean, 714 00:39:40,840 --> 00:39:43,440 Speaker 1: you just hate to admit it, but this girl she is. 715 00:39:44,080 --> 00:39:46,759 Speaker 1: When she's your friend, my god, no one can get 716 00:39:46,760 --> 00:39:48,560 Speaker 1: in your way and no one's going to take you 717 00:39:48,600 --> 00:39:52,239 Speaker 1: down don't ever end up on or hateless, because you're 718 00:39:52,239 --> 00:39:54,680 Speaker 1: gonna get a five inch heel on your neck until 719 00:39:54,840 --> 00:40:00,560 Speaker 1: literally perforates. We don't do anything half fast. Everything is 720 00:40:00,600 --> 00:40:04,360 Speaker 1: a commitment of fist. We're consistent, We're consistent. And he 721 00:40:04,440 --> 00:40:08,200 Speaker 1: did that without moving her face. How many people, by 722 00:40:08,239 --> 00:40:11,319 Speaker 1: the way, um, how many people, by the way know 723 00:40:11,520 --> 00:40:13,919 Speaker 1: that Linda can get really mad and has a hate 724 00:40:13,960 --> 00:40:16,920 Speaker 1: list everybody. I call her to find out if somebody 725 00:40:16,920 --> 00:40:26,080 Speaker 1: I'm wonder Sean, when I want to check someone out, 726 00:40:26,120 --> 00:40:28,520 Speaker 1: I called Linda first. I'm sorry, I do I trust her? 727 00:40:28,640 --> 00:40:31,879 Speaker 1: What do you mean? Check them out? If they're cool, 728 00:40:31,920 --> 00:40:34,399 Speaker 1: if they're legit, I'll call her. Yeah. And when you're 729 00:40:34,400 --> 00:40:36,480 Speaker 1: in England, you called Katie, And when I'm in England, 730 00:40:36,480 --> 00:40:38,080 Speaker 1: I'll call yeah. By the way, I don't even know 731 00:40:38,120 --> 00:40:41,160 Speaker 1: what I've read that you got in serious trouble and 732 00:40:41,200 --> 00:40:42,719 Speaker 1: I have no idea what it was about. What did 733 00:40:42,719 --> 00:40:45,840 Speaker 1: you do now? Because I remember years ago I interviewed you, Katie, 734 00:40:45,840 --> 00:40:48,080 Speaker 1: and you told me, oh, yeah, the British authorities wanted 735 00:40:48,120 --> 00:40:51,160 Speaker 1: to take my children. I'm like what, Yeah. So basically, 736 00:40:51,200 --> 00:40:53,560 Speaker 1: if you speak out against the narrative, I'm sure you 737 00:40:53,560 --> 00:40:56,040 Speaker 1: don't understand that at Fox. But if you speak out 738 00:40:56,120 --> 00:40:58,400 Speaker 1: against the narrative that you're allowed Oh no, no, I 739 00:40:58,520 --> 00:41:01,160 Speaker 1: understand it. Well yeah, yeah, it was a little wink 740 00:41:01,200 --> 00:41:03,440 Speaker 1: and a nod that one. But if you speak out 741 00:41:03,480 --> 00:41:06,600 Speaker 1: against the narrative that you're allowed to say, basically, the 742 00:41:06,640 --> 00:41:09,880 Speaker 1: state comes after you. And my British government after she 743 00:41:10,040 --> 00:41:12,400 Speaker 1: Hardy has tried to behead me for speaking out against 744 00:41:12,400 --> 00:41:15,640 Speaker 1: certain things that we shan't mention here. The British government 745 00:41:15,680 --> 00:41:18,720 Speaker 1: even commissioned a play called The Assassination of Katie Hopk 746 00:41:18,920 --> 00:41:21,279 Speaker 1: Remember that. Yeah, so they really go for you. So 747 00:41:21,520 --> 00:41:23,600 Speaker 1: I'm just generally naughty. But the thing I'm in trouble 748 00:41:23,640 --> 00:41:26,080 Speaker 1: for right this second is that Trump retweeted one of 749 00:41:26,120 --> 00:41:29,360 Speaker 1: my tweets where I was just explaining Mayor of London 750 00:41:29,440 --> 00:41:33,160 Speaker 1: is stant is simply useless. So Trump retweeted that, and 751 00:41:33,200 --> 00:41:36,279 Speaker 1: of course now everybody's having a complete fit in the UK. 752 00:41:36,440 --> 00:41:38,279 Speaker 1: I'm the worst person on the planet. They're trying to 753 00:41:38,280 --> 00:41:42,000 Speaker 1: remove my home, my kids, whatever, because Trump agreed with 754 00:41:42,239 --> 00:41:44,440 Speaker 1: me once. So yes, that's why I've been naughty now 755 00:41:44,480 --> 00:41:47,640 Speaker 1: because I'm a friend of Trump. You know, what do 756 00:41:47,640 --> 00:41:52,200 Speaker 1: you mean by what does naughty mean? But you did mention, yes, 757 00:41:52,360 --> 00:41:56,400 Speaker 1: Naught supports Trump. That's yes, it's naughty to support Trump 758 00:41:56,400 --> 00:41:58,000 Speaker 1: in the UK. Do you know what they did, Sean, 759 00:41:58,080 --> 00:41:59,960 Speaker 1: do you know they did? What did they do? Katie? 760 00:42:00,160 --> 00:42:06,160 Speaker 1: Stop speaking you know urdu and just be sent what 761 00:42:06,200 --> 00:42:08,120 Speaker 1: they did in the UK and Bami we have to 762 00:42:08,160 --> 00:42:11,680 Speaker 1: pay for the BBC our state propaganda agent. Right. They 763 00:42:11,760 --> 00:42:14,560 Speaker 1: took the Trump balloon, they remodeled one and they put 764 00:42:14,600 --> 00:42:17,239 Speaker 1: it in the BBC studio. You know that is the 765 00:42:17,360 --> 00:42:20,360 Speaker 1: level of disrespect the British government and the state have 766 00:42:20,480 --> 00:42:23,520 Speaker 1: for the office of the President of the United States. 767 00:42:23,560 --> 00:42:25,640 Speaker 1: And I cannot tell you how emotional it makes me 768 00:42:25,680 --> 00:42:28,480 Speaker 1: to be back here, to see your flag flying strong, 769 00:42:28,880 --> 00:42:31,080 Speaker 1: and just even to be at the airport and listen 770 00:42:31,320 --> 00:42:34,840 Speaker 1: to you guys saying service personnel, you are welcome to 771 00:42:34,920 --> 00:42:37,600 Speaker 1: board first, We thank you for your service. You know 772 00:42:37,640 --> 00:42:39,800 Speaker 1: it's enough. It just set me crying in Newark Airport. 773 00:42:39,800 --> 00:42:41,560 Speaker 1: I look like the mad woman who's been laughing at 774 00:42:41,560 --> 00:42:43,880 Speaker 1: the rain. It's just an emotional thing for me to 775 00:42:43,880 --> 00:42:45,880 Speaker 1: be an American. And I can't tell you your First 776 00:42:45,880 --> 00:42:49,359 Speaker 1: and Second Amendment, your Constitution, your President, There's never been 777 00:42:49,400 --> 00:42:52,000 Speaker 1: a more important time for you and Trump and the 778 00:42:52,000 --> 00:42:54,520 Speaker 1: work that you do. I genuinely mean that, or laughing 779 00:42:54,920 --> 00:42:57,279 Speaker 1: your arsome. And you know what, Kenney, what's interesting too, 780 00:42:57,400 --> 00:42:59,680 Speaker 1: is you're a country. I mean, it was tyranny that 781 00:42:59,719 --> 00:43:03,520 Speaker 1: we escaped that and and now we find that the 782 00:43:03,600 --> 00:43:07,640 Speaker 1: horse det you know, the when tyranny come now comes 783 00:43:07,640 --> 00:43:09,799 Speaker 1: to America, it's going to be riding a horse called 784 00:43:09,840 --> 00:43:12,360 Speaker 1: freedom or fairness. And it's not. And PJ Media has 785 00:43:12,400 --> 00:43:14,799 Speaker 1: a great article out today that Mayor Pete wants to 786 00:43:14,840 --> 00:43:17,799 Speaker 1: free us from freedom, my god, and that's exactly what 787 00:43:17,840 --> 00:43:20,080 Speaker 1: it's all about. And when so when we see tyranny 788 00:43:20,080 --> 00:43:21,680 Speaker 1: coming back to America, it's gonna be riding a horse 789 00:43:21,680 --> 00:43:24,759 Speaker 1: called fairness. And and don't and listen, Mayor Pete, he 790 00:43:24,800 --> 00:43:27,160 Speaker 1: just doesn't tip his hand. But he's just as dangerous 791 00:43:27,200 --> 00:43:29,640 Speaker 1: as Bernie Sanders. We don't have all the bites that 792 00:43:29,680 --> 00:43:32,400 Speaker 1: we have of Bernie Sanders, but Mayor Pete he just 793 00:43:32,440 --> 00:43:34,840 Speaker 1: like Obama, he is not going to show his hand. 794 00:43:35,040 --> 00:43:37,040 Speaker 1: But I think he's even more dangerous. He's as far 795 00:43:37,120 --> 00:43:40,680 Speaker 1: left as any hardcore socialist out there. I'm just gonna say, 796 00:43:40,719 --> 00:43:42,759 Speaker 1: and everyone's by the way, it's a disaster. I never 797 00:43:42,760 --> 00:43:45,360 Speaker 1: get any points for being straight, like I'm a straight 798 00:43:45,400 --> 00:43:49,560 Speaker 1: white Christian for that. Okay, just like something, because they 799 00:43:49,560 --> 00:43:51,960 Speaker 1: get loads of points for being anything, so I'm just 800 00:43:52,000 --> 00:43:56,560 Speaker 1: going to score those. I would score you a ten regardless, Okay, 801 00:43:56,640 --> 00:43:59,080 Speaker 1: I would definitely say she's a ten. Yes, Linda Grees. 802 00:43:59,239 --> 00:44:01,400 Speaker 1: Don't you want to a health service or not? Or 803 00:44:01,440 --> 00:44:04,440 Speaker 1: do you want to? The problem is if you need 804 00:44:04,480 --> 00:44:08,040 Speaker 1: a hip replacement or a knee replacement and your life 805 00:44:08,040 --> 00:44:11,239 Speaker 1: expectancy you've lived beyond it, they say no, tell me 806 00:44:11,280 --> 00:44:13,920 Speaker 1: if that's true or false. Absolutely true. You know, a 807 00:44:13,960 --> 00:44:16,640 Speaker 1: six month waiting list if you want an operation or 808 00:44:16,680 --> 00:44:18,920 Speaker 1: any kind of procedure, and if you want a new 809 00:44:19,000 --> 00:44:20,920 Speaker 1: hip down you're over a certain age, they won't do 810 00:44:20,960 --> 00:44:23,200 Speaker 1: it because you're not worth it. And they won't help 811 00:44:23,200 --> 00:44:24,880 Speaker 1: people who are blind to be able to see if 812 00:44:24,880 --> 00:44:26,880 Speaker 1: you're over the age of sixty five, because you're not 813 00:44:26,960 --> 00:44:29,160 Speaker 1: worth it. That is what you've got coming here with 814 00:44:29,200 --> 00:44:32,799 Speaker 1: socialized healthcare. People think it's this kind of panacea for 815 00:44:32,960 --> 00:44:35,360 Speaker 1: health I tell you, it's wait list, it's cues, and 816 00:44:35,719 --> 00:44:38,160 Speaker 1: mind you, you know, healthcare is not a right. It's 817 00:44:38,200 --> 00:44:40,719 Speaker 1: a privilege, and it's a privilege that America used to 818 00:44:40,719 --> 00:44:43,160 Speaker 1: do very well well used to as a good point, 819 00:44:43,200 --> 00:44:45,359 Speaker 1: you know. I mean, it's pretty unbelievable to me that 820 00:44:45,400 --> 00:44:48,319 Speaker 1: we want to go, you know, we follow or how 821 00:44:48,480 --> 00:44:50,880 Speaker 1: anyone could trust the government. The government's saying everything's going 822 00:44:50,920 --> 00:44:52,640 Speaker 1: to be free. By the way, you can't get your 823 00:44:52,640 --> 00:44:55,560 Speaker 1: own healthcare anymore. We're going to have Medicare for all, 824 00:44:55,960 --> 00:45:00,200 Speaker 1: and yet Obamacare keep your doctor, keep your plans, save money, 825 00:45:00,640 --> 00:45:04,040 Speaker 1: everybody paid more, millions lost their doctors and plants. I mean, 826 00:45:04,560 --> 00:45:08,000 Speaker 1: why would anyone have any faith in these idiots in government? 827 00:45:08,200 --> 00:45:09,759 Speaker 1: I don't know, it's it's so true. You know what 828 00:45:09,800 --> 00:45:11,319 Speaker 1: I love to see as an advert, a sort of 829 00:45:11,320 --> 00:45:15,160 Speaker 1: presidential advert where you have juxtaposed against those guys Bernie 830 00:45:15,160 --> 00:45:17,399 Speaker 1: and the other saying free Medicare for all, and then 831 00:45:17,440 --> 00:45:20,440 Speaker 1: show your border force fans bringing the migrants in in 832 00:45:20,560 --> 00:45:24,040 Speaker 1: McCallan to the Catholic charities there. You know, free healthcare 833 00:45:24,080 --> 00:45:26,520 Speaker 1: for all means free healthcare for half of South America 834 00:45:26,560 --> 00:45:28,640 Speaker 1: as well right now, and that's a very dangerous thing 835 00:45:28,680 --> 00:45:31,880 Speaker 1: for an American taxpayer. It is a dangerous thing, you know, 836 00:45:32,000 --> 00:45:34,239 Speaker 1: I do have You know, we should really be learning 837 00:45:34,280 --> 00:45:36,040 Speaker 1: a lot from Great Britain roles, don't you think I 838 00:45:36,080 --> 00:45:39,040 Speaker 1: mean they so, I mean, that's that's how this country was. 839 00:45:39,080 --> 00:45:45,440 Speaker 1: A star Fromkins could teach Hannity basic personal hygiene for status. 840 00:45:45,560 --> 00:45:49,040 Speaker 1: What you don't like the way I dress? I think 841 00:45:49,040 --> 00:45:53,319 Speaker 1: he's the best looking guy on radio. The plants are 842 00:45:53,320 --> 00:45:56,120 Speaker 1: getting high? Why are you insulting me like? I don't 843 00:45:56,160 --> 00:45:59,160 Speaker 1: know why. I I'm just saying I want you to 844 00:45:59,160 --> 00:46:02,520 Speaker 1: have a lower pant, A lower punt? Punt? What does 845 00:46:02,520 --> 00:46:05,600 Speaker 1: that mean? May mean lower on the ankle, lower on 846 00:46:05,640 --> 00:46:07,880 Speaker 1: the hip, not lower on the ankle, although that's also 847 00:46:07,920 --> 00:46:11,160 Speaker 1: true because it's highway. It's higher because that's a little 848 00:46:11,200 --> 00:46:13,560 Speaker 1: something that he wears mom pants. I'm saying that as 849 00:46:13,600 --> 00:46:15,919 Speaker 1: men get older, they typically dye their hair the wrong 850 00:46:16,000 --> 00:46:17,839 Speaker 1: shade of black and they lift their packs. I've never 851 00:46:18,040 --> 00:46:25,239 Speaker 1: died to take a stand. I'm sorry, maybe I've never. 852 00:46:25,520 --> 00:46:27,759 Speaker 1: I never have a high pump. You have a high pap. 853 00:46:27,800 --> 00:46:30,520 Speaker 1: What is a high punt? Me? Your listas know your 854 00:46:30,680 --> 00:46:34,960 Speaker 1: listeners know they're with me on this, Hannah Linda Singapore, 855 00:46:35,080 --> 00:46:38,880 Speaker 1: and tell me what is the high pant? Just basically 856 00:46:39,080 --> 00:46:41,440 Speaker 1: something that happens to men of a fifty It's a 857 00:46:41,520 --> 00:46:46,800 Speaker 1: mom jean where essentially you move things to a certain 858 00:46:46,880 --> 00:46:51,080 Speaker 1: side to lift your pants a little higher. Okay, slow down, everybody, 859 00:46:51,160 --> 00:46:53,839 Speaker 1: Slow down, everybody? Can I just say something, Linda? Am 860 00:46:53,880 --> 00:46:56,560 Speaker 1: I not in the best shape all the years you've known? Oh? 861 00:46:56,719 --> 00:47:04,239 Speaker 1: Here we go. Yeah. By the way, I think, I 862 00:47:04,280 --> 00:47:06,480 Speaker 1: think what we should really talk about is Katie Hopkins 863 00:47:06,520 --> 00:47:12,080 Speaker 1: impersonation of viewer. Yeah, I see, I am going to concede. 864 00:47:12,080 --> 00:47:14,239 Speaker 1: This half hour radio that will go down in the 865 00:47:14,320 --> 00:47:16,800 Speaker 1: history is one of the few I've lost completely control, 866 00:47:16,920 --> 00:47:19,040 Speaker 1: any control a little bit, but it's just so funny. 867 00:47:19,120 --> 00:47:21,600 Speaker 1: Well listen, I will tell you though, we're gonna really 868 00:47:22,200 --> 00:47:24,160 Speaker 1: miss you guys when you when you Where are you 869 00:47:24,239 --> 00:47:27,400 Speaker 1: guys going out to? Only we had a timeshare in 870 00:47:27,480 --> 00:47:29,279 Speaker 1: Mexico to go to where we could really set free, 871 00:47:29,400 --> 00:47:32,520 Speaker 1: right Sean? Yeah, well you have a timeshare in Mexico, 872 00:47:32,560 --> 00:47:34,319 Speaker 1: and why haven't you gotten out of it yet? That's 873 00:47:34,640 --> 00:47:37,640 Speaker 1: I'm working. Brian and Karen are man. Yeah, Well, Brian 874 00:47:37,719 --> 00:47:40,520 Speaker 1: and Karen, honestly, they should be so pissed off with you. 875 00:47:40,880 --> 00:47:42,640 Speaker 1: I mean, here it is. They're trying to help save 876 00:47:42,680 --> 00:47:46,160 Speaker 1: you money. They can do it legally quickly. And by 877 00:47:46,200 --> 00:47:48,360 Speaker 1: the way, Katie, you know the story right. Linda was 878 00:47:48,440 --> 00:47:51,080 Speaker 1: twenty some odd years old and she's having the vacation 879 00:47:51,160 --> 00:47:52,920 Speaker 1: of her life and some guy comes up, well, you 880 00:47:52,960 --> 00:47:56,200 Speaker 1: know you can come back here every year and experience 881 00:47:56,320 --> 00:48:00,359 Speaker 1: exactly what you're experiencing now every single year. She still 882 00:48:00,400 --> 00:48:04,440 Speaker 1: owns the time share. Ask her, Katie, how many times, 883 00:48:04,640 --> 00:48:08,280 Speaker 1: Linda Singapore have you been back to your time share 884 00:48:08,280 --> 00:48:11,160 Speaker 1: in Mexico? Come on, then, Linda Singapore, how many times 885 00:48:11,160 --> 00:48:15,400 Speaker 1: have you been at that time shining? Come on? The 886 00:48:15,400 --> 00:48:17,239 Speaker 1: funny part is I've been back to Singapore twice. I 887 00:48:17,239 --> 00:48:20,359 Speaker 1: mean that now, how many How much do you pay 888 00:48:20,440 --> 00:48:23,600 Speaker 1: a year for that stupid place you never see? More 889 00:48:23,600 --> 00:48:27,040 Speaker 1: than I care to admit. I do it thinking And 890 00:48:27,080 --> 00:48:30,279 Speaker 1: they won't say in public, but she just said, you 891 00:48:30,320 --> 00:48:32,960 Speaker 1: know what a lot of us see and know to 892 00:48:33,000 --> 00:48:35,400 Speaker 1: be true, And you guys just got her and she 893 00:48:35,480 --> 00:48:38,280 Speaker 1: was just she just said the truth. They're not objective piece, 894 00:48:38,719 --> 00:48:41,560 Speaker 1: They're not an objective source of information. They are a 895 00:48:41,680 --> 00:48:46,439 Speaker 1: highly biased political machine UM that is bent on never 896 00:48:46,560 --> 00:48:50,600 Speaker 1: letting somebody like Donald Trump come to power again. Twenty 897 00:48:50,680 --> 00:48:55,279 Speaker 1: is certainly on top of my old organizations, top of mind. 898 00:48:55,320 --> 00:48:57,759 Speaker 1: They've been working on it since twenty sixteen to make 899 00:48:57,800 --> 00:49:09,840 Speaker 1: sure technology companies are censoring conservatives and they're going to 900 00:49:09,920 --> 00:49:12,440 Speaker 1: do this right up to the twenty twenty election. Well, 901 00:49:12,480 --> 00:49:15,000 Speaker 1: they're doing it to me on Twitter. I mean what 902 00:49:15,080 --> 00:49:18,000 Speaker 1: they did to me on Twitter is incredible. Uh. You know, 903 00:49:18,040 --> 00:49:20,880 Speaker 1: I have, you know, millions and millions of followers, but 904 00:49:20,960 --> 00:49:22,880 Speaker 1: I will tell you they make it very hard for 905 00:49:22,960 --> 00:49:25,799 Speaker 1: people to join me on Twitter, and they make it 906 00:49:26,000 --> 00:49:28,520 Speaker 1: very much harder for me to get out the message. 907 00:49:28,880 --> 00:49:31,680 Speaker 1: They make it. It's incredible. Yeah, And how are you 908 00:49:31,680 --> 00:49:33,600 Speaker 1: going to do about it? What do you mean these 909 00:49:33,640 --> 00:49:36,080 Speaker 1: companies have an enormous amount of power if they could 910 00:49:36,120 --> 00:49:39,279 Speaker 1: even stop the president of the free world in terms 911 00:49:39,280 --> 00:49:41,040 Speaker 1: of getting this message out, What am I going to 912 00:49:41,080 --> 00:49:45,720 Speaker 1: do about it? These people are all Democrats. It's totally 913 00:49:45,719 --> 00:49:49,520 Speaker 1: biased toward Democrats. If I announced tomorrow that I'm going 914 00:49:49,560 --> 00:49:52,440 Speaker 1: to become a nice liberal Democrat, I would pick up 915 00:49:52,760 --> 00:49:56,160 Speaker 1: five times. We're followed. I was picking up one hundred 916 00:49:56,200 --> 00:49:59,800 Speaker 1: thousand followers every few days, and all of a sudden, 917 00:50:00,080 --> 00:50:02,359 Speaker 1: and I'm much hotter now than I was a number 918 00:50:02,360 --> 00:50:04,279 Speaker 1: of months ago. Okay the number of months ago, and 919 00:50:04,280 --> 00:50:06,680 Speaker 1: then all of a sudden, it's step Well, somebody at 920 00:50:07,080 --> 00:50:09,480 Speaker 1: said they don't want which happened in twenty sixteen to 921 00:50:09,480 --> 00:50:11,759 Speaker 1: happen in twenty twenty. They don't want it to happen again, right, 922 00:50:11,840 --> 00:50:14,239 Speaker 1: Is that what you're trying to Let me tell you, 923 00:50:14,320 --> 00:50:16,839 Speaker 1: they're trying to rig the election. That's why we should 924 00:50:16,880 --> 00:50:19,440 Speaker 1: be looking at, not that the witch hunt, the phony 925 00:50:19,480 --> 00:50:23,319 Speaker 1: witch hunt, which has proven zero. Uh you know, I 926 00:50:23,320 --> 00:50:26,440 Speaker 1: mean not even a phone call. This is the greatest 927 00:50:26,480 --> 00:50:30,640 Speaker 1: political disgrace in the history is what technology companies are doing. 928 00:50:30,640 --> 00:50:33,200 Speaker 1: What they did you is that legal? Are they breaking 929 00:50:33,200 --> 00:50:36,000 Speaker 1: the lawst presidents? Well, I don't know whether that, but 930 00:50:36,040 --> 00:50:39,040 Speaker 1: I'll tell you what. They should be sued because what's 931 00:50:39,080 --> 00:50:41,960 Speaker 1: happening with the bias and now you see it with 932 00:50:42,080 --> 00:50:45,520 Speaker 1: that executive yesterday from Google. The hatred for the Republicans, 933 00:50:45,560 --> 00:50:49,640 Speaker 1: not even like, gee, let's let's lean democrat. The hatred 934 00:50:49,880 --> 00:50:52,680 Speaker 1: and actually, you know I heard that all during my election. 935 00:50:52,800 --> 00:50:56,040 Speaker 1: It's hard that I won. They were they were swamping 936 00:50:56,120 --> 00:50:58,920 Speaker 1: us with negative stuff, all right. That was the president 937 00:50:59,000 --> 00:51:02,680 Speaker 1: weighing in on social media and all the varying controversies 938 00:51:02,719 --> 00:51:04,759 Speaker 1: now that have come up, including the latest one on 939 00:51:04,800 --> 00:51:09,760 Speaker 1: Twitter project Veritas. By the way, the President tweeting talking 940 00:51:09,800 --> 00:51:12,440 Speaker 1: about the tape that we played for you and we 941 00:51:12,520 --> 00:51:16,920 Speaker 1: talked about the other day. Remember in that particular tape, 942 00:51:17,000 --> 00:51:21,399 Speaker 1: we had Google executives on tape, you know, and then 943 00:51:21,440 --> 00:51:24,919 Speaker 1: an insider talking to Project Veritas, you know that they're 944 00:51:25,320 --> 00:51:28,680 Speaker 1: they're bent on not letting somebody like Donald Trump ever 945 00:51:28,760 --> 00:51:31,719 Speaker 1: come to power again, or for Donald Trump to win 946 00:51:31,760 --> 00:51:36,319 Speaker 1: in twenty twenty, I mean, and the Google head of 947 00:51:37,120 --> 00:51:42,200 Speaker 1: Responsible Innovation saying Elizabeth Warren is misguided on breaking up Google, 948 00:51:42,880 --> 00:51:46,880 Speaker 1: and Google exec says, well, don't break us up because 949 00:51:46,880 --> 00:51:51,120 Speaker 1: smaller companies don't have the resources to prevent the next 950 00:51:51,120 --> 00:51:57,240 Speaker 1: Trump situation. Really, insider says that Prague University and others 951 00:51:57,280 --> 00:52:00,440 Speaker 1: their content is suppressed. That's what the as it was 952 00:52:00,480 --> 00:52:05,120 Speaker 1: also saying about Twitter as well. Leak documents highlight a 953 00:52:05,160 --> 00:52:09,440 Speaker 1: machine learning fairness. How does a machine learn fairness? Basically, 954 00:52:10,000 --> 00:52:14,600 Speaker 1: how do they have a politically correct worldview? You look 955 00:52:14,640 --> 00:52:18,160 Speaker 1: at Project Veritas and their video and James O'Keefe he 956 00:52:18,520 --> 00:52:22,839 Speaker 1: uses Google and he looks emails Hillary Clinton and emails 957 00:52:22,960 --> 00:52:26,040 Speaker 1: Donald Trump and hmm, well, it doesn't come up the 958 00:52:26,080 --> 00:52:29,040 Speaker 1: way it normally would. In other words, Hillary's email scandal. 959 00:52:29,200 --> 00:52:33,360 Speaker 1: Why is that anyway? Documents appear to show editorial policies 960 00:52:33,400 --> 00:52:39,239 Speaker 1: that determine how Google is publishing their news project. Veritas's 961 00:52:39,280 --> 00:52:41,920 Speaker 1: CEO and founder, James O'Keefe is with us. Could be 962 00:52:41,960 --> 00:52:45,439 Speaker 1: the biggest video that they've outlined yet. And yet he's 963 00:52:45,480 --> 00:52:49,720 Speaker 1: having trouble getting his message out because places like YouTube. 964 00:52:49,719 --> 00:52:52,000 Speaker 1: But I understand I taking your video down? What's there? 965 00:52:52,560 --> 00:52:55,760 Speaker 1: What is their argument for taking your video down? Sean? 966 00:52:55,840 --> 00:52:58,600 Speaker 1: Thanks for having me on and this is definitely the 967 00:52:58,600 --> 00:53:01,439 Speaker 1: biggest story we ever broke. And that's saying something because 968 00:53:01,440 --> 00:53:03,040 Speaker 1: you and I have known each other for ten years, 969 00:53:03,080 --> 00:53:06,440 Speaker 1: all going back to the acorn story, but this is 970 00:53:06,520 --> 00:53:11,680 Speaker 1: truly extraordinary. YouTube banned our pinterest investigation. Twitter suspended Veritas 971 00:53:11,760 --> 00:53:16,640 Speaker 1: for that story, Red banned Projecguritas YouTube removed this Google investigation, 972 00:53:16,680 --> 00:53:19,640 Speaker 1: and now Sean Vino, which is a competitor to Google, 973 00:53:19,640 --> 00:53:23,319 Speaker 1: has removed our entire account. What is the reason, you say? 974 00:53:23,800 --> 00:53:26,520 Speaker 1: The reason they tell us is there's a privacy violation. 975 00:53:26,560 --> 00:53:29,120 Speaker 1: We don't understand what they mean by that. We're reporting 976 00:53:29,200 --> 00:53:33,839 Speaker 1: newsworthy information. That's what journalists do. The real reasons, well, 977 00:53:33,840 --> 00:53:37,880 Speaker 1: do they keep up content, say from other news sources? No, 978 00:53:38,000 --> 00:53:40,440 Speaker 1: because other people have reported the same thing. Will reporting 979 00:53:40,480 --> 00:53:42,600 Speaker 1: these are done? No? No No, what I'm saying is are 980 00:53:42,680 --> 00:53:46,720 Speaker 1: you being singled out versus other people that post things 981 00:53:46,760 --> 00:53:49,759 Speaker 1: that are news related. Yes, and I tweeted that at 982 00:53:49,800 --> 00:53:54,799 Speaker 1: YouTube CEO. Now YouTube has responded, they issued this ridiculous 983 00:53:54,840 --> 00:53:59,360 Speaker 1: response that has been They're being inundated on Twitter with angry, 984 00:53:59,640 --> 00:54:03,319 Speaker 1: pat periotic people upset with their absurd response. But Sean, 985 00:54:03,640 --> 00:54:07,040 Speaker 1: this is truly an extraordinary series of events. These stories 986 00:54:07,080 --> 00:54:09,520 Speaker 1: have not been taken down because they're false, but because 987 00:54:09,560 --> 00:54:12,560 Speaker 1: they're true. And we're hitting close to home with this 988 00:54:12,920 --> 00:54:16,560 Speaker 1: machine learning fairness. And you heard Trump, the President a 989 00:54:16,640 --> 00:54:20,279 Speaker 1: moment ago, talk about the comments made by Jing and I. 990 00:54:20,520 --> 00:54:23,200 Speaker 1: Trump was talking about the quote from Jing and I 991 00:54:23,600 --> 00:54:26,880 Speaker 1: which stated they're trying to prevent the next Trump situation, 992 00:54:27,120 --> 00:54:30,359 Speaker 1: which stated their definition of fairness is different than what 993 00:54:30,440 --> 00:54:33,879 Speaker 1: Trump supporters think is fair her words. So, Sean, they're 994 00:54:33,920 --> 00:54:36,600 Speaker 1: taking all of our videos off the internet. They're trying 995 00:54:36,600 --> 00:54:38,640 Speaker 1: to scrub this from history. But I don't think they'll 996 00:54:38,680 --> 00:54:42,160 Speaker 1: be successful because there's been an online uprising over the 997 00:54:42,200 --> 00:54:44,400 Speaker 1: last couple of days and this is all happening in 998 00:54:44,400 --> 00:54:46,560 Speaker 1: the public view. All right, let's go back to the 999 00:54:46,680 --> 00:54:50,200 Speaker 1: very beginning. You get this woman, by the way, what 1000 00:54:50,760 --> 00:54:55,359 Speaker 1: is this department that she runs and works out at 1001 00:54:55,480 --> 00:54:58,479 Speaker 1: here this miss J and I I'm having a hard 1002 00:54:58,480 --> 00:55:04,000 Speaker 1: time understanding what it actually means they are because it 1003 00:55:04,560 --> 00:55:06,960 Speaker 1: it doesn't make sense to me. And how are they 1004 00:55:07,040 --> 00:55:11,200 Speaker 1: teaching artificial intelligence? And what are these algorithms they're creating 1005 00:55:11,239 --> 00:55:16,560 Speaker 1: that literally represses conservative content? So this is again you're 1006 00:55:16,600 --> 00:55:19,880 Speaker 1: referring to Gingini, the executive of Google, who runs something 1007 00:55:20,280 --> 00:55:24,720 Speaker 1: called the Innovation department. She has up Google's innovation efforts. 1008 00:55:24,760 --> 00:55:27,960 Speaker 1: And I think the best way to characterize what they 1009 00:55:28,000 --> 00:55:31,560 Speaker 1: do is this. This is a document from within Google 1010 00:55:31,600 --> 00:55:34,560 Speaker 1: that we've obtained, and this is this is a If 1011 00:55:34,600 --> 00:55:37,520 Speaker 1: I had quoted this document, Sean, without having the document, 1012 00:55:37,560 --> 00:55:39,680 Speaker 1: you'd think I was a conspiracy theorist. But I'm going 1013 00:55:39,719 --> 00:55:41,759 Speaker 1: to read it's to you because this will help you 1014 00:55:41,840 --> 00:55:46,040 Speaker 1: understand what this individual does. It says say, in some 1015 00:55:46,080 --> 00:55:48,359 Speaker 1: cases and may be desirable to consider how he might 1016 00:55:48,480 --> 00:55:51,120 Speaker 1: help society you reach a more fair and equitable state 1017 00:55:51,560 --> 00:55:57,440 Speaker 1: via product intervention or algorithmic fairness. So what they do 1018 00:55:57,760 --> 00:56:01,120 Speaker 1: is they have human beings go in there, modify the 1019 00:56:01,160 --> 00:56:05,839 Speaker 1: computer code, modify the artificial intelligence, and the algorithms they 1020 00:56:05,960 --> 00:56:09,680 Speaker 1: implement this fairness and I'm putting fairness in quotes because 1021 00:56:09,680 --> 00:56:13,880 Speaker 1: it's their word in their artificial intelligence in the computers, 1022 00:56:14,360 --> 00:56:19,280 Speaker 1: and this executive is confessing this to in this recording. 1023 00:56:19,480 --> 00:56:22,799 Speaker 1: So what they're doing at Google is they're trying to 1024 00:56:22,880 --> 00:56:27,520 Speaker 1: change the outcome of elections through artificial intelligence algorithms, and 1025 00:56:27,560 --> 00:56:31,640 Speaker 1: they've denied it publicly. That's why this story is so big. 1026 00:56:32,000 --> 00:56:33,919 Speaker 1: We got them, and that's what Jing and I said. 1027 00:56:33,960 --> 00:56:38,120 Speaker 1: She issued this long, rambling response saying Project Veritas got me. 1028 00:56:38,560 --> 00:56:41,200 Speaker 1: I shouldn't have said what I said. Oh they got me, 1029 00:56:41,400 --> 00:56:43,440 Speaker 1: but I shouldn't. And she's not getting fired. But the 1030 00:56:43,480 --> 00:56:46,319 Speaker 1: reality is, this is what they're doing. Now. You know, 1031 00:56:46,440 --> 00:56:48,560 Speaker 1: we have to look at the magnitude. Linda did a 1032 00:56:48,600 --> 00:56:51,800 Speaker 1: great job last the other day, two days ago, looking 1033 00:56:51,880 --> 00:56:54,719 Speaker 1: up all the numbers. I mean, you're talking about billions 1034 00:56:54,760 --> 00:56:58,600 Speaker 1: of people every year using Google to search for news 1035 00:56:58,600 --> 00:57:02,920 Speaker 1: and information in an allow election years. If they're suppressing 1036 00:57:03,239 --> 00:57:07,200 Speaker 1: information that would for the purposes of endorsing and favoring 1037 00:57:07,200 --> 00:57:10,520 Speaker 1: a candidate, isn't that an in kind donation and isn't 1038 00:57:10,560 --> 00:57:14,160 Speaker 1: it one that really is incalculable? Well, that's exactly what 1039 00:57:15,680 --> 00:57:18,080 Speaker 1: people are saying. Attorneys are saying this might be an 1040 00:57:18,080 --> 00:57:22,240 Speaker 1: FBC issue. I think Sean the biggest issue right now 1041 00:57:22,360 --> 00:57:24,640 Speaker 1: that I can see. And there's been some congressional hearing 1042 00:57:24,720 --> 00:57:28,040 Speaker 1: since I last talked to you. Ted Cruz. Dan Crenshaw, 1043 00:57:28,560 --> 00:57:32,800 Speaker 1: congressman from Arizona, was grilling these executives about machine learning fairness. 1044 00:57:32,800 --> 00:57:35,200 Speaker 1: There's been another document come out. Well, by the way, 1045 00:57:35,280 --> 00:57:36,760 Speaker 1: let me let me go to Crenshaw for just a 1046 00:57:36,840 --> 00:57:40,920 Speaker 1: second here. Who's a good guy. But anyway, he a 1047 00:57:40,960 --> 00:57:45,520 Speaker 1: congressman from Texas, and he was questioning Derek Slater Global 1048 00:57:46,280 --> 00:57:51,520 Speaker 1: Google Global Director of Information Policy. And you know, according 1049 00:57:51,560 --> 00:57:54,240 Speaker 1: to these emails, the emails say, given that you know 1050 00:57:54,360 --> 00:58:00,560 Speaker 1: different people like Dennis Prager or Nazis, etc. That's a premise, 1051 00:58:01,200 --> 00:58:04,640 Speaker 1: what are you going to do about that? And you know, 1052 00:58:04,720 --> 00:58:08,000 Speaker 1: Kenshaw then from Texas goes on and says thank you 1053 00:58:08,080 --> 00:58:11,320 Speaker 1: for some of the thoughtful discussion, etcetera, etcetera. But there 1054 00:58:11,320 --> 00:58:14,440 Speaker 1: are good questions on whether some of these the content 1055 00:58:14,520 --> 00:58:18,000 Speaker 1: provides education so that we know the bad things out there, 1056 00:58:18,120 --> 00:58:22,320 Speaker 1: whether it's radicalizing people. Those are hard. But Crenshaw also 1057 00:58:22,360 --> 00:58:25,080 Speaker 1: goes on to say that you know and talks about 1058 00:58:25,120 --> 00:58:27,840 Speaker 1: you at different points and goes on to say that 1059 00:58:28,240 --> 00:58:31,160 Speaker 1: if you if you're going to be the make the 1060 00:58:31,240 --> 00:58:34,800 Speaker 1: determination of what is good and good content content or 1061 00:58:34,880 --> 00:58:37,920 Speaker 1: news or not news, and you have a bias, well, 1062 00:58:37,960 --> 00:58:41,840 Speaker 1: I mean you're rendering you're picking sides here. And with 1063 00:58:41,880 --> 00:58:45,000 Speaker 1: the amount of power somebody like Google has that could 1064 00:58:45,160 --> 00:58:49,480 Speaker 1: be extraordinarily influential, couldn't it. Well yes, And I was 1065 00:58:49,480 --> 00:58:51,560 Speaker 1: going to say, Sean, it comes down to Google has 1066 00:58:51,560 --> 00:58:56,520 Speaker 1: been granted a special immunity from Congress section two thirty 1067 00:58:56,560 --> 00:59:00,200 Speaker 1: of the Communications Decency Act. And the issue before or 1068 00:59:00,200 --> 00:59:03,440 Speaker 1: Congress right now is that they want to continue giving 1069 00:59:03,480 --> 00:59:06,600 Speaker 1: Google that exemption. Now, why this expose is so big, 1070 00:59:06,640 --> 00:59:09,720 Speaker 1: it's the biggest thing certainly I've ever reported, is that 1071 00:59:09,800 --> 00:59:13,120 Speaker 1: it implies that Google should not be given this protection 1072 00:59:13,560 --> 00:59:17,680 Speaker 1: because Google is no longer merely a platform. Now they're 1073 00:59:17,720 --> 00:59:21,160 Speaker 1: a publisher with an agenda. So previously they have been 1074 00:59:21,200 --> 00:59:26,280 Speaker 1: exempt from liability. And now these revelations which talk about 1075 00:59:26,360 --> 00:59:30,560 Speaker 1: a certain viewpoint and they want to change outcome of elections. 1076 00:59:31,000 --> 00:59:34,680 Speaker 1: All of these words are theirs, not mine. Congress probably 1077 00:59:34,720 --> 00:59:36,360 Speaker 1: has to do something about it. They have to do 1078 00:59:36,400 --> 00:59:39,440 Speaker 1: their job. The President says that Google should be sued. 1079 00:59:39,840 --> 00:59:42,920 Speaker 1: I've told you before, Sean, this is a watershed moment 1080 00:59:42,960 --> 00:59:46,960 Speaker 1: in this country. The floodgates are opening. Veritas. Project Veritas 1081 00:59:47,000 --> 00:59:51,160 Speaker 1: has been inundated with insiders, sources on the inside reaching 1082 00:59:51,160 --> 00:59:53,480 Speaker 1: out to me this week. I mean, we're talking dozens 1083 00:59:53,480 --> 00:59:58,120 Speaker 1: of these people who wants to explode the whistle for 1084 00:59:58,200 --> 01:00:00,959 Speaker 1: their country, to report what's going Because if you think, 1085 01:00:01,160 --> 01:00:04,000 Speaker 1: if you're worried about the impact on an election, Google 1086 01:00:04,200 --> 01:00:09,080 Speaker 1: can can change that, influence that in ways you can't imagine. 1087 01:00:09,160 --> 01:00:11,480 Speaker 1: And that's what this expose is about. All right, quick 1088 01:00:11,520 --> 01:00:15,960 Speaker 1: break more with James O'Keefe, founder CEO of Project Veritas, 1089 01:00:16,080 --> 01:00:18,360 Speaker 1: and much more as we continue. But as we continue 1090 01:00:18,440 --> 01:00:22,720 Speaker 1: James O'Keefe, he is the founder CEO of Project Veritas, 1091 01:00:22,840 --> 01:00:25,880 Speaker 1: And I don't know, I think this is probably there's 1092 01:00:25,920 --> 01:00:28,480 Speaker 1: there's gonna be a lot of fallout for this. You know, 1093 01:00:28,720 --> 01:00:33,880 Speaker 1: sixty three thousand searches on Google per second, I mean 1094 01:00:33,920 --> 01:00:37,600 Speaker 1: that is insane. You know Google's ad revenue amount, it's 1095 01:00:37,600 --> 01:00:41,640 Speaker 1: almost ninety five point four billion dollars in what just 1096 01:00:41,800 --> 01:00:47,360 Speaker 1: the year twenty seventeen alone. You know, Google loans two 1097 01:00:47,440 --> 01:00:50,600 Speaker 1: hundred other companies. You know, they have twenty seven percent 1098 01:00:50,640 --> 01:00:54,160 Speaker 1: of the share of the global email client market. I 1099 01:00:54,160 --> 01:00:57,280 Speaker 1: mean it's a massive company, and you know, you look 1100 01:00:57,320 --> 01:00:58,920 Speaker 1: at that and then you say, well, okay, well now 1101 01:00:58,920 --> 01:01:03,480 Speaker 1: they're gonna censor content of conservatives negative to decide not 1102 01:01:03,560 --> 01:01:08,360 Speaker 1: to run things politically they disagree with. That's a problem. Yes, 1103 01:01:08,440 --> 01:01:11,240 Speaker 1: I mean Sean, I mean Jeni says she reinforced several 1104 01:01:11,280 --> 01:01:15,120 Speaker 1: times Google's imperative to quote prevent the next Trump situation, 1105 01:01:15,240 --> 01:01:18,320 Speaker 1: quote prevented from happening again, quote being ready for twenty 1106 01:01:18,400 --> 01:01:23,520 Speaker 1: twenty by training algorithms for a different outcome using machine learning. Fairness. 1107 01:01:23,760 --> 01:01:26,240 Speaker 1: I mean it sounds like something from nineteen eighty four. 1108 01:01:26,400 --> 01:01:28,200 Speaker 1: Nineteen eighty four wasn't just the year I was born, 1109 01:01:28,800 --> 01:01:31,360 Speaker 1: This great book by George Orwell. I mean, it's just 1110 01:01:31,800 --> 01:01:34,800 Speaker 1: it's it shocks the conscience. And when we got them, 1111 01:01:34,840 --> 01:01:36,880 Speaker 1: we got them to confess what they're doing. I think 1112 01:01:36,880 --> 01:01:41,000 Speaker 1: the question is Project Veritas, you know, really gives ammunition 1113 01:01:41,000 --> 01:01:43,760 Speaker 1: to the people. I don't know what Congress is going 1114 01:01:43,800 --> 01:01:45,560 Speaker 1: to do. Trump says he's going to sue people. I 1115 01:01:45,600 --> 01:01:47,680 Speaker 1: think that the next thing that needs to happen is 1116 01:01:47,720 --> 01:01:50,959 Speaker 1: more people needs to come forward. Project Veritas dot com, 1117 01:01:51,000 --> 01:01:56,560 Speaker 1: slash Brave and Veritas tips at ProtonMail. Dot com, if 1118 01:01:56,560 --> 01:01:59,120 Speaker 1: you're on the inside, if you want to be a patriot, 1119 01:01:59,160 --> 01:02:01,680 Speaker 1: if you want to tell stories. I mean, these people 1120 01:02:01,680 --> 01:02:03,000 Speaker 1: are not going to the New York Times or the 1121 01:02:03,040 --> 01:02:06,440 Speaker 1: Washington Posts, Sean, They're they're coming to Project Veritas now. 1122 01:02:06,520 --> 01:02:09,480 Speaker 1: So we have a responsibility to keep informing people about 1123 01:02:09,480 --> 01:02:11,840 Speaker 1: what their intentions are as it relates to twenty twenty. 1124 01:02:12,000 --> 01:02:15,360 Speaker 1: All right, these videos we have posted exclusively. Apparently they 1125 01:02:15,400 --> 01:02:19,040 Speaker 1: can't take them off Hannity dot com or Project Veritas's website, 1126 01:02:19,840 --> 01:02:24,080 Speaker 1: but apparently it's off of YouTube and other places as well. 1127 01:02:24,120 --> 01:02:26,600 Speaker 1: But you've got to watch them for yourself. And you're 1128 01:02:26,600 --> 01:02:28,760 Speaker 1: saying that now, you have a lot of other insiders 1129 01:02:28,760 --> 01:02:30,840 Speaker 1: at Google reaching out to you, So I would expect 1130 01:02:30,840 --> 01:02:32,479 Speaker 1: there's going to be more follow up in the days 1131 01:02:32,480 --> 01:02:36,160 Speaker 1: and weeks ahead. Yeah, we're releasing some more documents here 1132 01:02:36,240 --> 01:02:40,720 Speaker 1: imminently today about some censorship, and there are some people 1133 01:02:40,720 --> 01:02:42,720 Speaker 1: that have reached out to us. I'm looking at some 1134 01:02:42,760 --> 01:02:45,360 Speaker 1: of the messages right now, Sean. But they've again, I 1135 01:02:45,400 --> 01:02:47,760 Speaker 1: just want to remind your audience. They've taken us off YouTube, 1136 01:02:48,000 --> 01:02:51,800 Speaker 1: they've taken off Vimeo, Reddit has banned us. This is 1137 01:02:51,840 --> 01:02:54,400 Speaker 1: the moment. It's all happening. I don't think they'll be 1138 01:02:54,400 --> 01:02:57,040 Speaker 1: able to silence us. I think that the fight has 1139 01:02:57,080 --> 01:03:00,280 Speaker 1: gone too public to hide and it's all happening out. 1140 01:03:00,320 --> 01:03:02,840 Speaker 1: Nothing's going to stop. We're going to keep exposing the truth. 1141 01:03:03,160 --> 01:03:05,480 Speaker 1: And I thank you Sean for being one of the 1142 01:03:05,480 --> 01:03:08,160 Speaker 1: first people out there to push the story and and 1143 01:03:08,760 --> 01:03:12,000 Speaker 1: thank you for your for helping us expose this truth. 1144 01:03:12,640 --> 01:03:17,280 Speaker 1: All right, Project Veritas, the CEO and founder James O'Keefe, 1145 01:03:17,320 --> 01:03:19,919 Speaker 1: thanks for putting your neck out there. All right, glad 1146 01:03:19,960 --> 01:03:21,760 Speaker 1: you with us twenty five down until the top of 1147 01:03:21,800 --> 01:03:25,320 Speaker 1: the hour, News round up, Information overload coming up. Well. 1148 01:03:25,600 --> 01:03:30,960 Speaker 1: James O'Keefe, founder CEO Project Veritas, while he is struck 1149 01:03:31,000 --> 01:03:35,520 Speaker 1: again and he's now exposed what might be I don't know. 1150 01:03:35,560 --> 01:03:37,440 Speaker 1: I mean, he's done a lot of big videos over 1151 01:03:37,440 --> 01:03:39,840 Speaker 1: the years, but anyway, it might be as big as 1152 01:03:39,920 --> 01:03:43,840 Speaker 1: yet because he and his team have been able to 1153 01:03:43,920 --> 01:03:49,240 Speaker 1: do their thing and they are now exposing Google and 1154 01:03:49,480 --> 01:03:54,040 Speaker 1: what is a political antipathy animous hatred for the president 1155 01:03:54,560 --> 01:03:58,680 Speaker 1: and all conservatives. Now. YouTube, by the way, is working 1156 01:03:58,720 --> 01:04:03,640 Speaker 1: in concert with Google to bury this development and news 1157 01:04:03,760 --> 01:04:09,320 Speaker 1: by blocking James and his Project Veritas from getting this 1158 01:04:09,520 --> 01:04:12,240 Speaker 1: video and information to the American people. By the way, 1159 01:04:12,280 --> 01:04:14,600 Speaker 1: we will put it up on Hannity dot com so 1160 01:04:14,680 --> 01:04:17,360 Speaker 1: you can see it until they hack us for the 1161 01:04:17,440 --> 01:04:24,040 Speaker 1: four thousandth time. Anyway, let's play these. I will explain 1162 01:04:24,080 --> 01:04:26,320 Speaker 1: it more as we talked to James in a second. 1163 01:04:26,360 --> 01:04:30,160 Speaker 1: But you've paid very close attention to what they're saying here. 1164 01:04:30,160 --> 01:04:35,320 Speaker 1: An insider saying Google has an editorial agenda. Insider explaining 1165 01:04:35,760 --> 01:04:42,160 Speaker 1: how achieving fairness through product intervention. Then you've got, you know, 1166 01:04:42,320 --> 01:04:47,880 Speaker 1: examples of this algorithm of theirs. And an insider says 1167 01:04:47,920 --> 01:04:51,160 Speaker 1: fairness means manipulating search results so they can get the 1168 01:04:51,200 --> 01:04:57,600 Speaker 1: political agenda they want. Explain it, explaining machine learning's algorithms. 1169 01:04:58,000 --> 01:04:59,920 Speaker 1: I mean, it's not the head of responsible in a 1170 01:05:00,040 --> 01:05:03,520 Speaker 1: vation at Google talking about setting the definition of fairness. 1171 01:05:04,200 --> 01:05:07,520 Speaker 1: An insider saying that after Trump was elected, Google wanted 1172 01:05:07,520 --> 01:05:10,920 Speaker 1: to fight hatred, so they began to police their users, 1173 01:05:11,520 --> 01:05:17,080 Speaker 1: started a concept of machine learning fairness. Oh their agenda 1174 01:05:17,360 --> 01:05:20,240 Speaker 1: or the highway. Well, you know, wouldn't this be viewed 1175 01:05:20,240 --> 01:05:27,640 Speaker 1: as an in kind, massive, unincalculable donation by Google to 1176 01:05:27,760 --> 01:05:30,880 Speaker 1: all things liberal and democrat. Let's play this. He got 1177 01:05:30,920 --> 01:05:35,080 Speaker 1: holding for the Congress Times and we show we're like 1178 01:05:35,160 --> 01:05:37,080 Speaker 1: we just know they're going to just step. It's like 1179 01:05:37,200 --> 01:05:40,080 Speaker 1: I'm gonna change her. We're not gonna change your behind it, 1180 01:05:40,400 --> 01:05:42,000 Speaker 1: So there's no point you're just sitting there being a 1181 01:05:42,080 --> 01:05:43,960 Speaker 1: touch or something that we know what we're gonna change, 1182 01:05:44,520 --> 01:05:51,120 Speaker 1: taking pressures changing. We also have to be aware of 1183 01:05:51,160 --> 01:05:53,640 Speaker 1: what they're doing, what they're using us off. Like I said, 1184 01:05:53,640 --> 01:05:57,800 Speaker 1: like you know, just like Lsy weren't even I look her, 1185 01:05:57,880 --> 01:05:59,800 Speaker 1: But she's also saying like you just have to break 1186 01:05:59,840 --> 01:06:03,760 Speaker 1: the Google and novels sold everything get lest. They were 1187 01:06:03,800 --> 01:06:06,400 Speaker 1: in a saying that we should break the good I like, 1188 01:06:06,560 --> 01:06:09,080 Speaker 1: I love her when she is very misguided like that 1189 01:06:09,160 --> 01:06:11,000 Speaker 1: will not make you BETTERR will make it worse because 1190 01:06:11,040 --> 01:06:13,200 Speaker 1: they will these slaughter companies who don't have the same 1191 01:06:13,320 --> 01:06:16,480 Speaker 1: resources that we do, will be charged with preventing an 1192 01:06:16,480 --> 01:06:20,640 Speaker 1: extra situation. It's like a small and it's twenty is 1193 01:06:20,640 --> 01:06:24,040 Speaker 1: certainly on top of the now. My old organizations safety 1194 01:06:24,560 --> 01:06:26,800 Speaker 1: top of mind. They've been working on it since twenty 1195 01:06:26,840 --> 01:06:32,080 Speaker 1: sixteen to make sure we're ready. Ares like if the 1196 01:06:32,120 --> 01:06:38,600 Speaker 1: game we have quote different. Google is protected by Section 1197 01:06:38,640 --> 01:06:42,680 Speaker 1: two thirty of the Communications Decency Act. It says quote 1198 01:06:42,960 --> 01:06:46,760 Speaker 1: no provider or user of an interactive computer service shall 1199 01:06:46,840 --> 01:06:50,400 Speaker 1: be treated as the publisher or speaker of any information 1200 01:06:50,560 --> 01:06:56,040 Speaker 1: provided by another information content provider unquote, meaning Google is 1201 01:06:56,160 --> 01:07:01,520 Speaker 1: not liable for any content on their platform. Some people 1202 01:07:01,600 --> 01:07:04,600 Speaker 1: think a solution is this section two thirty and taking 1203 01:07:04,600 --> 01:07:07,960 Speaker 1: it away. I mean, they violated not only the letter 1204 01:07:07,960 --> 01:07:10,000 Speaker 1: of the law, but the spirit of the law. Section 1205 01:07:10,080 --> 01:07:14,040 Speaker 1: two thirty says that in order for them to be 1206 01:07:14,120 --> 01:07:18,600 Speaker 1: a platform, they can't censor the content that they have. Instead, 1207 01:07:18,600 --> 01:07:21,680 Speaker 1: they decided to act as a publisher, making them responsible 1208 01:07:21,720 --> 01:07:24,680 Speaker 1: for everything that they put on. And they're still masquerading 1209 01:07:24,680 --> 01:07:27,680 Speaker 1: as a platform even though they're acting as a publisher. 1210 01:07:27,840 --> 01:07:31,080 Speaker 1: Google's really thinking, and they won't say in public, but 1211 01:07:31,200 --> 01:07:34,120 Speaker 1: she just said, you know what a lot of us 1212 01:07:34,520 --> 01:07:37,360 Speaker 1: see and know to be true, And you guys just 1213 01:07:37,360 --> 01:07:39,200 Speaker 1: got her and she was just she just said the truth. 1214 01:07:39,280 --> 01:07:42,640 Speaker 1: They're not an objective piece, They're not an objective source 1215 01:07:42,640 --> 01:07:47,480 Speaker 1: of information. They are a highly biased political machine that 1216 01:07:47,680 --> 01:07:50,840 Speaker 1: is bent on never letting somebody like Donald Trump come 1217 01:07:50,880 --> 01:07:57,400 Speaker 1: to power again. Donald Trump's emails. Okay, show me what 1218 01:07:57,440 --> 01:07:59,880 Speaker 1: I'm looking at here. So what we see right here 1219 01:08:00,080 --> 01:08:02,880 Speaker 1: is relative to the search term of Hillary Clintons emails. 1220 01:08:03,400 --> 01:08:08,440 Speaker 1: Donald Trump's emails has no search traffic, no search traffic. Now, 1221 01:08:08,480 --> 01:08:10,320 Speaker 1: let's go back to Google dot com and search for 1222 01:08:10,360 --> 01:08:13,520 Speaker 1: Donald Trump's emails and it should show us no autocomplete 1223 01:08:13,560 --> 01:08:16,799 Speaker 1: because according to Google, no one searches for it compared 1224 01:08:16,840 --> 01:08:23,920 Speaker 1: to Hillary Clinton's emails. But it does. It gives us 1225 01:08:23,960 --> 01:08:28,440 Speaker 1: a whole bunch of different examples for autocomplete, So nobody's 1226 01:08:29,240 --> 01:08:33,919 Speaker 1: fewer people search for this and it autocompletes, and everyone 1227 01:08:33,960 --> 01:08:36,559 Speaker 1: searches for Hillary Clinton's email and it doesn't. That's right. 1228 01:08:36,720 --> 01:08:41,360 Speaker 1: What's the explanation. Well, according to them, Hillary Clinton's emails 1229 01:08:41,640 --> 01:08:45,160 Speaker 1: is a conspiracy theory and it's unfair to return results 1230 01:08:45,760 --> 01:08:49,519 Speaker 1: based on her emails. And so through their program of 1231 01:08:49,560 --> 01:08:55,840 Speaker 1: email fairness, they've deleted the autocomplete off the Internet like 1232 01:08:55,920 --> 01:08:58,840 Speaker 1: it didn't even exist. How did they do that? Was 1233 01:08:58,880 --> 01:09:02,040 Speaker 1: it manually? Was it a human being? Was it a 1234 01:09:02,080 --> 01:09:06,439 Speaker 1: machine AI? The way that it works is that they're 1235 01:09:06,439 --> 01:09:10,479 Speaker 1: training the AI now with a human with a bunch 1236 01:09:10,479 --> 01:09:13,960 Speaker 1: of humans that you consider them social justice warriors or 1237 01:09:13,960 --> 01:09:16,280 Speaker 1: whatever you want to label them. But they are feeding 1238 01:09:16,280 --> 01:09:20,200 Speaker 1: the information and training the AI so that it will 1239 01:09:21,200 --> 01:09:26,800 Speaker 1: return results like this. And when they aren't able to 1240 01:09:26,800 --> 01:09:29,519 Speaker 1: to train it. There's actually something that someone that will 1241 01:09:29,560 --> 01:09:33,320 Speaker 1: go through and manually delete certain keyword terms or put 1242 01:09:33,360 --> 01:09:36,759 Speaker 1: it as a blacklist. There's a lot of people filing 1243 01:09:36,800 --> 01:09:40,519 Speaker 1: bugs internally against Google, against these invalid results, and they 1244 01:09:40,560 --> 01:09:44,280 Speaker 1: ignore them because they've got no interest in fixing things 1245 01:09:44,280 --> 01:09:48,280 Speaker 1: that go against their social justice narrative or reduce what 1246 01:09:48,360 --> 01:09:52,000 Speaker 1: they consider to be fair. Wow, now this is I know, 1247 01:09:52,080 --> 01:09:55,200 Speaker 1: it's a lot to absorb. I want to break this 1248 01:09:55,320 --> 01:09:59,800 Speaker 1: down to make it as understandable as possible. James O'Keefe 1249 01:10:00,000 --> 01:10:04,880 Speaker 1: Project Veritas. They're undercover cameras. They get the head of 1250 01:10:05,240 --> 01:10:11,959 Speaker 1: Responsible Innovation at Google talking about setting the definition of fairness. 1251 01:10:12,760 --> 01:10:16,200 Speaker 1: Then we've got an insider, obviously an altered voice that 1252 01:10:16,240 --> 01:10:20,000 Speaker 1: you're hearing saying that Google is hell bent on making 1253 01:10:20,040 --> 01:10:24,960 Speaker 1: sure another Trump does income to power and this woman 1254 01:10:25,040 --> 01:10:30,600 Speaker 1: of responsible innovation, who is you know, setting the definition 1255 01:10:30,800 --> 01:10:34,360 Speaker 1: of fairness? And you know after Trump was elected, Google 1256 01:10:34,400 --> 01:10:36,920 Speaker 1: wants to fight what they define as hatred, so they 1257 01:10:36,960 --> 01:10:40,360 Speaker 1: begin to police their users that would be you. And 1258 01:10:40,400 --> 01:10:44,680 Speaker 1: they start the concept of machine learning fairness and that 1259 01:10:44,720 --> 01:10:49,160 Speaker 1: means manipulating search results so they get the political agenda 1260 01:10:49,240 --> 01:10:52,639 Speaker 1: that they want and machine learning algorithms are set up, 1261 01:10:52,960 --> 01:10:56,240 Speaker 1: and O'Keefe gives examples of this which you just heard, 1262 01:10:56,280 --> 01:10:59,839 Speaker 1: and you know insider explaining how the you know, achieving 1263 01:11:00,080 --> 01:11:05,240 Speaker 1: fairness through product intervention. They're training basically their artificial intelligence 1264 01:11:05,280 --> 01:11:08,840 Speaker 1: to do all of this. And the woman that we 1265 01:11:08,840 --> 01:11:12,479 Speaker 1: were just talking about that you heard first is saying 1266 01:11:12,520 --> 01:11:16,639 Speaker 1: that Google's training their algorithms for twenty twenty in case 1267 01:11:17,000 --> 01:11:22,240 Speaker 1: there's a repeat of twenty sixteen. Now Google is that powerful. 1268 01:11:22,880 --> 01:11:27,880 Speaker 1: Now you're going to give the single biggest donation ever 1269 01:11:27,960 --> 01:11:31,640 Speaker 1: in the history of politics. They talk about in kind donations. 1270 01:11:32,520 --> 01:11:36,400 Speaker 1: It's incalculable. If you can't search and get information that 1271 01:11:36,439 --> 01:11:40,479 Speaker 1: it's fair not biased by Google or any of these 1272 01:11:40,479 --> 01:11:46,000 Speaker 1: search engines, that's trouble because they're manipulating the information that 1273 01:11:46,320 --> 01:11:49,479 Speaker 1: should be available to the American people, and that would 1274 01:11:49,479 --> 01:11:53,640 Speaker 1: be violating by the way the law, the spirit of 1275 01:11:53,640 --> 01:11:56,920 Speaker 1: the law, section two thirty. But you know Google is 1276 01:11:56,960 --> 01:12:01,800 Speaker 1: now targeting and censoring right wing content. Anyway, James o'keep back, 1277 01:12:02,040 --> 01:12:04,479 Speaker 1: this might be your best work ever because you got 1278 01:12:04,520 --> 01:12:07,519 Speaker 1: inside Google and then you got a insider to tell 1279 01:12:07,560 --> 01:12:10,679 Speaker 1: you what's really going on and confirm what you found. Yeah, Sean, 1280 01:12:11,280 --> 01:12:13,000 Speaker 1: This is I think the biggest story we ever did, 1281 01:12:13,000 --> 01:12:15,400 Speaker 1: and that's saying something. This is an on the record 1282 01:12:15,479 --> 01:12:19,960 Speaker 1: whistleblower working for Google dot Com, basically risking his entire 1283 01:12:20,040 --> 01:12:23,559 Speaker 1: career to go on camera. We've got the documents showing 1284 01:12:23,560 --> 01:12:26,160 Speaker 1: the machine learning fairness. That sounds like something out of 1285 01:12:26,160 --> 01:12:29,120 Speaker 1: an Orwell novel. But it's their words, not mine, using 1286 01:12:29,200 --> 01:12:33,080 Speaker 1: product intervention to reach society a more fair and equitable state. 1287 01:12:33,400 --> 01:12:35,639 Speaker 1: And we have these admissions from me. Is these secret 1288 01:12:35,680 --> 01:12:39,080 Speaker 1: recordings of these executives inside Google. Jen Jini is her name. 1289 01:12:39,160 --> 01:12:42,400 Speaker 1: She's the head of Google's innovation department. And she actually 1290 01:12:42,439 --> 01:12:46,360 Speaker 1: says the words, we want to prevent the next Trump situation. 1291 01:12:46,479 --> 01:12:49,080 Speaker 1: It's like a small company can't do that the way 1292 01:12:49,120 --> 01:12:52,559 Speaker 1: that we can by staying big. And she also says 1293 01:12:52,560 --> 01:12:54,360 Speaker 1: that she wants to change the outcome of the twenty 1294 01:12:54,400 --> 01:12:57,720 Speaker 1: twenty elections. Now some breaking news, Seans, some things have 1295 01:12:57,800 --> 01:13:00,639 Speaker 1: happened in the last few hours. The senator crews just 1296 01:13:00,800 --> 01:13:05,160 Speaker 1: grilled Google executives just just an hour ago in Congress 1297 01:13:05,200 --> 01:13:09,040 Speaker 1: about this. Google has responded. The Google head of innovation 1298 01:13:09,160 --> 01:13:13,559 Speaker 1: Jen and I responded by saying that Veritas got me 1299 01:13:13,760 --> 01:13:18,280 Speaker 1: well done. She admitted she said what she said. They've 1300 01:13:18,400 --> 01:13:22,280 Speaker 1: scrapped their social media YouTube. Who is the parent company is? 1301 01:13:22,320 --> 01:13:27,880 Speaker 1: Google took down Sean our video last night citing privacy violations. 1302 01:13:27,920 --> 01:13:30,200 Speaker 1: I'm not sure what they mean by that. We're reporting 1303 01:13:30,200 --> 01:13:34,240 Speaker 1: information the public needs to know, and this story has 1304 01:13:34,240 --> 01:13:39,160 Speaker 1: become a viral online phenomenon, and more insiders are coming 1305 01:13:39,160 --> 01:13:41,839 Speaker 1: to me as I speak. All right, as we continue 1306 01:13:41,840 --> 01:13:46,400 Speaker 1: with James O'Keefe, founder CEO Project Veritas, maybe their best 1307 01:13:46,400 --> 01:13:52,080 Speaker 1: work ever. I mean, the depth of this you cannot calculate, 1308 01:13:52,240 --> 01:14:00,080 Speaker 1: my mind, you can't the in kind contribution here. This 1309 01:14:00,240 --> 01:14:05,920 Speaker 1: is basically Google trying to rig an election in favor 1310 01:14:05,960 --> 01:14:10,400 Speaker 1: of their candidate, and Google being how many people go 1311 01:14:10,479 --> 01:14:13,599 Speaker 1: to use Google a day? Do we know? Oh, it's 1312 01:14:13,640 --> 01:14:17,320 Speaker 1: it's I don't even know the number, maybe even a billion, 1313 01:14:17,360 --> 01:14:20,920 Speaker 1: I don't I don't know the number. So that means 1314 01:14:21,000 --> 01:14:23,680 Speaker 1: that they are rigging the flow of information. I mean, 1315 01:14:23,720 --> 01:14:26,639 Speaker 1: it sounds like a police day. You're right, nineteen eighty four, right, 1316 01:14:27,240 --> 01:14:29,320 Speaker 1: and yeah, that's what that's what it sounds like, Sean, 1317 01:14:29,439 --> 01:14:32,960 Speaker 1: Especially the language and the documents, and we have leaked 1318 01:14:33,040 --> 01:14:35,960 Speaker 1: documents here. These are confidential documents. One of the documents 1319 01:14:36,000 --> 01:14:38,880 Speaker 1: is about fake news, and it says our goal. I'm 1320 01:14:38,880 --> 01:14:41,360 Speaker 1: going to quote that this year. Our goal, Google's goal 1321 01:14:41,400 --> 01:14:44,240 Speaker 1: is to establish a quote, a single point of truth 1322 01:14:44,320 --> 01:14:48,679 Speaker 1: for the definition of news across Google products are single 1323 01:14:48,760 --> 01:14:51,920 Speaker 1: point of truth. I mean that sounds like something I 1324 01:14:51,960 --> 01:14:54,000 Speaker 1: don't know George Orwell would have would have written in 1325 01:14:54,040 --> 01:14:55,880 Speaker 1: a draft version of his of his book there in 1326 01:14:55,960 --> 01:14:59,200 Speaker 1: nineteen eighty four. And there's another quote, Sean, from another 1327 01:14:59,200 --> 01:15:02,040 Speaker 1: power point pres sentation in the video. Again YouTube took 1328 01:15:02,080 --> 01:15:04,200 Speaker 1: this video down, but it's on the top of Drudge 1329 01:15:04,240 --> 01:15:08,960 Speaker 1: Report right now, and it says people are programmed. That's 1330 01:15:08,960 --> 01:15:12,800 Speaker 1: a direct quote. Algorithms are programmed, media is ranked, and 1331 01:15:12,920 --> 01:15:16,439 Speaker 1: people like us are programmed. So what Senator Cruz was 1332 01:15:16,439 --> 01:15:19,360 Speaker 1: asking this Google executive in Congress and she had no answer. 1333 01:15:19,400 --> 01:15:22,960 Speaker 1: She says she disagrees with the contents of these documents, 1334 01:15:23,720 --> 01:15:26,320 Speaker 1: but they are authentic Sean. And I think this is 1335 01:15:26,320 --> 01:15:28,759 Speaker 1: a watershed moment because I think a lot of people 1336 01:15:29,240 --> 01:15:33,280 Speaker 1: inside these companies are are upset. They're coming forward, They're 1337 01:15:33,280 --> 01:15:35,920 Speaker 1: blowing the whistle. I think things are going to change. 1338 01:15:35,920 --> 01:15:38,280 Speaker 1: And Sean, you can spend all the money on buying 1339 01:15:38,360 --> 01:15:41,240 Speaker 1: advertising on TV stations, but if Google is able to 1340 01:15:41,280 --> 01:15:45,479 Speaker 1: modify their algorithm by one or five percent, it's it's 1341 01:15:45,520 --> 01:15:47,360 Speaker 1: the election is going to be. But it's not one 1342 01:15:47,439 --> 01:15:50,000 Speaker 1: or five percent. I mean, they're basically saying that we 1343 01:15:50,360 --> 01:15:52,960 Speaker 1: don't ever want a Donald Trump to win reelection, nor 1344 01:15:53,040 --> 01:15:56,360 Speaker 1: anybody like them to ever win the presidency. Again, right, 1345 01:15:56,600 --> 01:15:58,880 Speaker 1: that's exactly that's that's what she says. She says a 1346 01:15:59,000 --> 01:16:02,519 Speaker 1: small company can't do that. Yep. Yeah. I mean would 1347 01:16:02,560 --> 01:16:05,160 Speaker 1: they argue, oh, well, we have the freedom of speech 1348 01:16:05,240 --> 01:16:10,479 Speaker 1: to pick and choose what we give to are the 1349 01:16:10,479 --> 01:16:13,040 Speaker 1: people that use our services? Well, if they do, I 1350 01:16:13,120 --> 01:16:16,439 Speaker 1: think they would need to be a full disclosure, don't you. Yes, 1351 01:16:16,560 --> 01:16:19,080 Speaker 1: I don't think they should disclose the algorithms that they use. 1352 01:16:19,160 --> 01:16:22,040 Speaker 1: But I think the point is that if they're going 1353 01:16:22,080 --> 01:16:25,080 Speaker 1: to in a political organization, they need to be a 1354 01:16:25,080 --> 01:16:28,759 Speaker 1: political organization. They have no credibility as a search engine, 1355 01:16:28,880 --> 01:16:32,080 Speaker 1: and they're not a platform. The whole issue is should 1356 01:16:32,080 --> 01:16:34,439 Speaker 1: they get the exemption on this what's called a section 1357 01:16:34,520 --> 01:16:37,880 Speaker 1: two thirty, which is basically, are they a publisher or 1358 01:16:37,920 --> 01:16:40,600 Speaker 1: a platform? And if they want to be a platform, 1359 01:16:40,640 --> 01:16:45,200 Speaker 1: they can't arbitrarily decide what is their single point of truth? 1360 01:16:45,240 --> 01:16:47,760 Speaker 1: What the insider told me. I asked the question, I said, 1361 01:16:48,040 --> 01:16:50,040 Speaker 1: would they say this publicly? And I said, they'd never 1362 01:16:50,080 --> 01:16:52,600 Speaker 1: say these things publically. I said, why not? So my 1363 01:16:52,720 --> 01:16:56,479 Speaker 1: point is established, tell the world in Congress, don't lie 1364 01:16:56,560 --> 01:17:00,240 Speaker 1: under oath to Senator Cruise, tell them under oath that 1365 01:17:00,400 --> 01:17:03,800 Speaker 1: you want Trump to not win reelection. And you know what, Sean, 1366 01:17:03,880 --> 01:17:05,960 Speaker 1: I'd be happy if they did that. I think it's 1367 01:17:06,000 --> 01:17:08,360 Speaker 1: all right. This is stunning. We're gonna play a lot 1368 01:17:08,360 --> 01:17:10,439 Speaker 1: of this tonight on in Hannity nine Eastern on the 1369 01:17:10,479 --> 01:17:13,000 Speaker 1: Fox News Channel. I think your best work ever. This 1370 01:17:13,000 --> 01:17:18,840 Speaker 1: This is a very very scary, frightening, chilling scenario and 1371 01:17:18,960 --> 01:17:24,160 Speaker 1: a huge story. James O'Keefe Project Veritas. You know, basically 1372 01:17:24,200 --> 01:17:27,200 Speaker 1: there hell been on never letting someone like Donald Trump 1373 01:17:27,280 --> 01:17:32,519 Speaker 1: ever be in power again. Wow, I mean, you know, 1374 01:17:33,320 --> 01:17:38,000 Speaker 1: are you kidding me? Smaller companies don't have the resources 1375 01:17:38,040 --> 01:17:42,439 Speaker 1: to prevent the next Trump situation. It sounds like this 1376 01:17:42,560 --> 01:17:48,760 Speaker 1: is the computer version of you know, hacking if you will, 1377 01:17:49,400 --> 01:17:53,280 Speaker 1: or influencing of the election in the most manipulative ways, 1378 01:17:53,479 --> 01:17:59,840 Speaker 1: and with non disclosure and a campaign contribution of incalculable proportions. 1379 01:18:00,280 --> 01:18:02,280 Speaker 1: You had a tough day today we never have a 1380 01:18:02,360 --> 01:18:04,479 Speaker 1: tough day. You No, no, You've had a tough day. 1381 01:18:04,760 --> 01:18:08,200 Speaker 1: Ethan and Jason and Kylie, everybody, Katie, they can all good. 1382 01:18:08,320 --> 01:18:12,840 Speaker 1: Lord well, sweet Baby agrees and but Blair agree baby. 1383 01:18:13,240 --> 01:18:15,479 Speaker 1: First of all, everybody agrees with all right, So let's 1384 01:18:15,479 --> 01:18:18,880 Speaker 1: tell everybody what happened. So who was the first person 1385 01:18:18,960 --> 01:18:21,920 Speaker 1: to bring up the story about our you know this 1386 01:18:22,200 --> 01:18:25,760 Speaker 1: twenty twenty event. Well, I had a meeting earlier and 1387 01:18:25,840 --> 01:18:28,240 Speaker 1: our good friend Major Dan happened to be in the 1388 01:18:28,280 --> 01:18:30,400 Speaker 1: area and popped up for a hot second. You and 1389 01:18:30,479 --> 01:18:33,640 Speaker 1: Major Dan, like you know, tied at the hip. I 1390 01:18:33,680 --> 01:18:35,920 Speaker 1: love these veterans. What can I say? I love my veterans, 1391 01:18:35,960 --> 01:18:38,400 Speaker 1: but I think it's a great thing. Okay, So now, 1392 01:18:38,840 --> 01:18:42,000 Speaker 1: any who about tournament to raise money. I don't know 1393 01:18:42,080 --> 01:18:44,160 Speaker 1: what's public and what's not. So I'm just gonna say 1394 01:18:44,320 --> 01:18:48,880 Speaker 1: we were talking about say it again, we were say 1395 01:18:48,920 --> 01:18:51,519 Speaker 1: these words. We were talking about golf. I don't know 1396 01:18:51,560 --> 01:18:54,280 Speaker 1: who talks like that, not me say it. No, I'm 1397 01:18:54,280 --> 01:18:57,400 Speaker 1: not saying that, but you please do it. Can't talk 1398 01:18:57,479 --> 01:18:59,720 Speaker 1: like like all right, say we would talk say we 1399 01:18:59,800 --> 01:19:06,400 Speaker 1: were talking we were talking about about say it golf? Golf? 1400 01:19:08,040 --> 01:19:11,240 Speaker 1: Why do you know we would talking about Wolf. We're 1401 01:19:11,280 --> 01:19:15,559 Speaker 1: talking about cool. I don't know everyone else would talking 1402 01:19:15,680 --> 01:19:18,680 Speaker 1: about any who so poor they don't know this, So 1403 01:19:18,840 --> 01:19:22,439 Speaker 1: major Dan's gonna hear this. So what happened was, um, 1404 01:19:23,800 --> 01:19:27,320 Speaker 1: he was talking about you know, they have this awesome company, 1405 01:19:27,400 --> 01:19:30,439 Speaker 1: Folds of Honor and Volition, which have partnered together, and 1406 01:19:31,160 --> 01:19:33,960 Speaker 1: Volition is just fantastic. That's my friend John Sepien. And 1407 01:19:34,040 --> 01:19:35,880 Speaker 1: by the way, you can get that stuff at Puma 1408 01:19:36,000 --> 01:19:38,320 Speaker 1: dot com. Yeah, Puma dot com. Volition is gonna have 1409 01:19:38,400 --> 01:19:40,559 Speaker 1: its own line. They're doing fantastic and they just they 1410 01:19:40,720 --> 01:19:44,320 Speaker 1: give back to the veterans, are just awesome people. So, uh, 1411 01:19:44,479 --> 01:19:46,200 Speaker 1: We're sitting there in the room, we're talking this and that, 1412 01:19:46,280 --> 01:19:50,479 Speaker 1: and he starts mentioning, um, this guy Jack Nicholas, and 1413 01:19:50,560 --> 01:19:52,640 Speaker 1: I thought he was trying to say Jack Nicholson. And 1414 01:19:52,720 --> 01:19:55,400 Speaker 1: I was like, oh, Jack Nicholson plays quol Okay and 1415 01:19:55,479 --> 01:19:59,880 Speaker 1: then shining Jack Nicholson. Yeah, yeah, exactly like the act 1416 01:20:00,160 --> 01:20:02,600 Speaker 1: Jack Nicholas. But he was saying Jack Nicholas. So he 1417 01:20:02,720 --> 01:20:05,200 Speaker 1: was saying Jack Nicholas. So anywhore I leave the meeting, 1418 01:20:05,200 --> 01:20:07,519 Speaker 1: I come back to the studio and everybody's in here, 1419 01:20:07,520 --> 01:20:09,840 Speaker 1: and I asked the guys and gals. I said, guys, gals, 1420 01:20:10,200 --> 01:20:14,160 Speaker 1: you know this guy, Jack Nicholas. Nicholas, I think he's 1421 01:20:14,200 --> 01:20:16,840 Speaker 1: in golf, and everybody just like fell over and I 1422 01:20:16,960 --> 01:20:21,320 Speaker 1: was a wife. Yeah, exactly. You've never heard of Jack 1423 01:20:21,439 --> 01:20:26,080 Speaker 1: Nicholas before. No, I have not. Listen, I'm just getting 1424 01:20:26,120 --> 01:20:27,880 Speaker 1: into the sports thing. I'm trying. What do you mean 1425 01:20:27,920 --> 01:20:30,760 Speaker 1: you just get First of all, First of all, you 1426 01:20:30,880 --> 01:20:35,160 Speaker 1: have a son. I know your three year old Liam 1427 01:20:35,479 --> 01:20:38,439 Speaker 1: like sports. You know what I will tell you. I 1428 01:20:38,560 --> 01:20:41,000 Speaker 1: took him to his first baseball game this past weekend. 1429 01:20:41,360 --> 01:20:45,000 Speaker 1: Was tall. It was it was the Phillies and professional 1430 01:20:45,120 --> 01:20:47,479 Speaker 1: took him to a real game and it was always 1431 01:20:47,560 --> 01:20:50,160 Speaker 1: loved it. First of all, we didn't watch the game 1432 01:20:50,840 --> 01:20:55,280 Speaker 1: in the back of the new uh Citizens Bank Stadium. Yeah, 1433 01:20:55,360 --> 01:20:57,760 Speaker 1: he's hitting balls. No, no, no, man, they got a 1434 01:20:57,840 --> 01:21:00,839 Speaker 1: whole section for kids. Yeah, they got all the toddlers, 1435 01:21:00,920 --> 01:21:03,600 Speaker 1: they got all kinds of cool things. Awesome, It's unbelievable. 1436 01:21:03,680 --> 01:21:06,000 Speaker 1: It's awesome for the kids. Yeah, he goes right out 1437 01:21:06,040 --> 01:21:08,320 Speaker 1: on the field, he gets it bad, he gets a ball. 1438 01:21:08,720 --> 01:21:10,600 Speaker 1: He was doing great. I mean it was it was 1439 01:21:10,640 --> 01:21:12,599 Speaker 1: pretty amazing. He definitely doesn't get that from my side 1440 01:21:12,600 --> 01:21:14,680 Speaker 1: of the family out. I got a question. So you 1441 01:21:14,760 --> 01:21:17,519 Speaker 1: didn't go in and sit at your seats at all, 1442 01:21:18,040 --> 01:21:21,800 Speaker 1: that's correct, but the whole game, I never saw the game. 1443 01:21:22,560 --> 01:21:25,840 Speaker 1: You didn't go one time to your seats, went to 1444 01:21:25,880 --> 01:21:30,240 Speaker 1: an amusement park, but not the game. So you play listen. 1445 01:21:30,280 --> 01:21:32,120 Speaker 1: I don't have a problem taking, you know, a little 1446 01:21:32,200 --> 01:21:34,880 Speaker 1: time out to let him play himself. But the ideas 1447 01:21:34,960 --> 01:21:37,639 Speaker 1: to go and watch the game and let him see 1448 01:21:37,720 --> 01:21:41,639 Speaker 1: how big the crowd is. And we did the hot dogs. 1449 01:21:41,720 --> 01:21:45,360 Speaker 1: We did the water dogs. Rida's water dogs. A hot 1450 01:21:45,400 --> 01:21:49,200 Speaker 1: dog is good, fantastic. Did they do cheese steaks there too? 1451 01:21:49,400 --> 01:21:53,400 Speaker 1: They do cheese steaks. They do Philly pretzels, hogeese hogee. 1452 01:21:53,520 --> 01:21:57,000 Speaker 1: Nobody and nobody around the you know, nobody outside of 1453 01:21:57,120 --> 01:22:00,960 Speaker 1: the north in Philly. Philly strong people. They know what 1454 01:22:01,000 --> 01:22:04,000 Speaker 1: I'm talking about. Can I just say something, What do 1455 01:22:04,080 --> 01:22:05,920 Speaker 1: you mean you didn't sit at the seats? And that 1456 01:22:06,120 --> 01:22:08,559 Speaker 1: first of all, Leam is three. Did you get him 1457 01:22:08,560 --> 01:22:11,960 Speaker 1: cracker Jacks? Did you get him at a cotton candy? Yeah? 1458 01:22:12,000 --> 01:22:15,120 Speaker 1: I got him everything, sang the song all right, I 1459 01:22:15,200 --> 01:22:17,320 Speaker 1: made a mistake one, so I'm at the last time. 1460 01:22:17,400 --> 01:22:20,320 Speaker 1: Marianna Rivera's pitching at Yankee Stadium the night they win 1461 01:22:20,400 --> 01:22:23,320 Speaker 1: the World Series. Right, it was my son's birthday and 1462 01:22:23,360 --> 01:22:26,000 Speaker 1: I'm there. That was the night at Governor Patterson got 1463 01:22:26,080 --> 01:22:30,040 Speaker 1: in trouble for taking free tickets. And remember Randy Levine, 1464 01:22:30,120 --> 01:22:32,120 Speaker 1: who has been a friend of mine for years. He 1465 01:22:32,200 --> 01:22:34,400 Speaker 1: used to work for Rudy. He hears me saying that 1466 01:22:34,479 --> 01:22:36,800 Speaker 1: I bought the tickets on StubHub. I'm not taking free 1467 01:22:36,840 --> 01:22:39,920 Speaker 1: tickets from anybody. I don't want free tickets. And so 1468 01:22:40,920 --> 01:22:44,200 Speaker 1: although some of our concert friends have insisted that we 1469 01:22:44,320 --> 01:22:46,080 Speaker 1: come see them and then they drag us in, but 1470 01:22:46,320 --> 01:22:49,360 Speaker 1: I don't like free stuff. I refuse to ever ask 1471 01:22:49,400 --> 01:22:52,719 Speaker 1: anybody or anything free. It just is obnoxious to me anyway. 1472 01:22:52,840 --> 01:22:54,680 Speaker 1: So yeah, I'm gonna like Randy. He goes, well, why 1473 01:22:54,680 --> 01:22:56,360 Speaker 1: don't you just call me? He said, you just could 1474 01:22:56,400 --> 01:22:58,559 Speaker 1: have paid face value, And I said, Randy, I said, 1475 01:22:58,680 --> 01:23:01,720 Speaker 1: I'm not abusing our friendship that way. It's wrong because no, no, no, 1476 01:23:01,920 --> 01:23:03,680 Speaker 1: people do it all every second of every day. And 1477 01:23:03,680 --> 01:23:05,720 Speaker 1: I'm like, no, no, no, I just that's not how 1478 01:23:05,760 --> 01:23:08,240 Speaker 1: I roll. And by the way, I did pit fortune 1479 01:23:08,280 --> 01:23:10,200 Speaker 1: for those tickets on the stubb up. Where were they? 1480 01:23:10,240 --> 01:23:13,160 Speaker 1: Where did you sit in the legends section now, in 1481 01:23:13,280 --> 01:23:15,600 Speaker 1: the legend section. What you know, because I don't go 1482 01:23:15,640 --> 01:23:17,360 Speaker 1: to many baseball games. Who has to? I don't have 1483 01:23:17,439 --> 01:23:20,000 Speaker 1: time for anything. I don't have time for GOLFO you 1484 01:23:20,080 --> 01:23:22,439 Speaker 1: play golf? Yeah, like three times a year. I tell 1485 01:23:22,439 --> 01:23:24,960 Speaker 1: you one thing I'm going to take out golf. Oh, 1486 01:23:25,720 --> 01:23:29,639 Speaker 1: remind me. Remind me what state you're Remind me that's 1487 01:23:29,720 --> 01:23:32,000 Speaker 1: not something you want to do. Remind me what state 1488 01:23:32,000 --> 01:23:33,960 Speaker 1: you're gonna be playing in. Can we post a video 1489 01:23:34,040 --> 01:23:36,719 Speaker 1: of that to happen? The clothes, I'm gonna wear the clothes. 1490 01:23:36,760 --> 01:23:38,720 Speaker 1: The shoes not so much, but I like the clothes. Well, 1491 01:23:38,720 --> 01:23:40,439 Speaker 1: you have to wear the shoes. You need spikes when 1492 01:23:40,479 --> 01:23:42,280 Speaker 1: you're on the you're not allowed to curse. I don't 1493 01:23:42,320 --> 01:23:46,200 Speaker 1: know if Linda's country is a big spitting on the 1494 01:23:46,280 --> 01:23:50,720 Speaker 1: course spitting ye, hitting? You know, you're not allowed to 1495 01:23:50,880 --> 01:23:54,479 Speaker 1: hit people. You know. I don't know you in the 1496 01:23:54,560 --> 01:23:56,240 Speaker 1: country club. I don't know if it's gonna mix it 1497 01:23:56,280 --> 01:23:58,200 Speaker 1: really well, doesn't have to be a country club for 1498 01:23:58,320 --> 01:24:00,080 Speaker 1: me to play golf. Oh, there are there are you know. 1499 01:24:00,240 --> 01:24:03,280 Speaker 1: That's a good question. Like for example, Bethpage Black, which 1500 01:24:03,400 --> 01:24:05,200 Speaker 1: is one of the best courses in the country is 1501 01:24:05,240 --> 01:24:07,519 Speaker 1: a public course. Pebble Beach is a public course. No what, 1502 01:24:07,600 --> 01:24:09,439 Speaker 1: I'm gonna make my own golf course. That's gonna be 1503 01:24:09,520 --> 01:24:13,800 Speaker 1: my next LLC. Okay, yeah, yeah. And where you're gonna 1504 01:24:13,840 --> 01:24:15,960 Speaker 1: get the millions of millions of millions to do that? 1505 01:24:16,560 --> 01:24:18,439 Speaker 1: I'm not sure. And we're gonna get the money to 1506 01:24:18,520 --> 01:24:21,280 Speaker 1: water the lawns gonna be called Come as you are, Linda, 1507 01:24:21,320 --> 01:24:24,680 Speaker 1: golfs here, Linda, we'll call Linda golfs here, Come as 1508 01:24:24,720 --> 01:24:26,840 Speaker 1: you are. Curses you want, spit as you want, fight 1509 01:24:26,920 --> 01:24:29,760 Speaker 1: all over the prince. Well I don't spit. Oh, you 1510 01:24:29,840 --> 01:24:32,200 Speaker 1: don't spit. Not denying anything else, but I don't spit. 1511 01:24:32,320 --> 01:24:36,600 Speaker 1: That's what you are violent, especially if it's well, you 1512 01:24:36,680 --> 01:24:38,519 Speaker 1: are violent. I mean, that's all there is. There's no 1513 01:24:38,600 --> 01:24:41,080 Speaker 1: other word to describe it. You know, when you start 1514 01:24:41,200 --> 01:24:44,040 Speaker 1: hitting into some people after you've had a couple of drinks, 1515 01:24:44,080 --> 01:24:48,439 Speaker 1: that's sweet babies laughing, Jason's laughing. Each time you make 1516 01:24:48,479 --> 01:24:50,240 Speaker 1: me sound real good on here, I'll tell you what 1517 01:24:50,479 --> 01:24:52,160 Speaker 1: not trying to make you sound good. I'm just telling 1518 01:24:52,200 --> 01:24:54,000 Speaker 1: people the truth. You are. Not trying to make you 1519 01:24:54,160 --> 01:24:59,800 Speaker 1: sound good. You're far how's the matter with you. I 1520 01:25:00,080 --> 01:25:02,880 Speaker 1: actually used to be a halfway decent golfer, but then 1521 01:25:02,960 --> 01:25:07,160 Speaker 1: this guy came down an escalator and life changed rather dramatically. Yea, 1522 01:25:07,920 --> 01:25:10,160 Speaker 1: And our job is a little busier than it once was, 1523 01:25:10,280 --> 01:25:13,400 Speaker 1: but which I'm happy for. And the country's in a 1524 01:25:13,479 --> 01:25:15,800 Speaker 1: better position. But I'm in a fight every second of 1525 01:25:15,920 --> 01:25:18,000 Speaker 1: every And you know how I say. You know, the 1526 01:25:18,120 --> 01:25:20,760 Speaker 1: media lies every second, every minute, every hour of every 1527 01:25:20,800 --> 01:25:23,960 Speaker 1: single day that our lives are insane. Every second, every minute, 1528 01:25:24,040 --> 01:25:27,040 Speaker 1: every hour of every day. There's always something on the 1529 01:25:27,280 --> 01:25:29,240 Speaker 1: on the table, all right, dealing with this crowd, dealing 1530 01:25:29,280 --> 01:25:31,160 Speaker 1: with this crowd, dealing with us, dealing with you know, 1531 01:25:31,640 --> 01:25:34,960 Speaker 1: big time. Hey, j Houston, Texas. What's going on, baby, 1532 01:25:36,479 --> 01:25:42,640 Speaker 1: big jobs? Gony Hey. After watching the demands of the 1533 01:25:42,720 --> 01:25:45,920 Speaker 1: Democrat Party for the first half of last night, it 1534 01:25:46,200 --> 01:25:49,800 Speaker 1: was a joke to watch the video and hey, it's 1535 01:25:49,880 --> 01:25:55,559 Speaker 1: going as well. Who won the debate? Trump? We love everybody? 1536 01:25:55,560 --> 01:26:00,439 Speaker 1: Isn't that great? Isn't that great? Papa? All the free 1537 01:26:00,439 --> 01:26:05,679 Speaker 1: stuff that they dish it out you and me, Linda, Yeah, exactly, 1538 01:26:08,720 --> 01:26:12,920 Speaker 1: that's all. Well, they come to Linda. I'm pretty sure Linda, 1539 01:26:13,040 --> 01:26:15,519 Speaker 1: she can handle it. And I'm pretty sure. I wouldn't 1540 01:26:15,560 --> 01:26:17,240 Speaker 1: want to hear the words come out of her mouth, 1541 01:26:17,479 --> 01:26:20,880 Speaker 1: which she could do with them. Never need to worry 1542 01:26:21,240 --> 01:26:23,960 Speaker 1: big time, you know. And I know what I'm saying 1543 01:26:24,160 --> 01:26:27,200 Speaker 1: is true. And she now that she's going to pick 1544 01:26:27,280 --> 01:26:29,120 Speaker 1: up What do you say it again? First you were 1545 01:26:29,360 --> 01:26:35,320 Speaker 1: it's golf. You were talking about golf. What does what 1546 01:26:35,439 --> 01:26:38,519 Speaker 1: does that mean? But I call it golf? Golf? What 1547 01:26:38,720 --> 01:26:42,080 Speaker 1: is golf? But you got to love the accident, by 1548 01:26:42,120 --> 01:26:44,280 Speaker 1: the way, and you gotta say that she's sitting for 1549 01:26:44,360 --> 01:26:48,280 Speaker 1: the interview at the big country club, uh, you know 1550 01:26:48,760 --> 01:26:51,840 Speaker 1: where everyone wears pink and orange. I'm so grateful with 1551 01:26:51,920 --> 01:26:55,160 Speaker 1: coming up on a break in white pants. Linda, How 1552 01:26:55,160 --> 01:26:57,360 Speaker 1: are you doing? Because my name is Linda? How the 1553 01:26:57,600 --> 01:27:03,120 Speaker 1: are you? You know? Got a mighty break, break break alright, 1554 01:27:03,280 --> 01:27:04,360 Speaker 1: big time. We love you man,