1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of the Clay Travis and Buck 2 00:00:03,360 --> 00:00:07,000 Speaker 1: Sexton Show podcast. Welcome on and everybody Clay Travis and 3 00:00:07,080 --> 00:00:10,080 Speaker 1: Buck Sexton Show gets going right now. Appreciate you joining 4 00:00:10,119 --> 00:00:13,960 Speaker 1: us from all across the land. We had quite a 5 00:00:14,080 --> 00:00:18,240 Speaker 1: day on a Friday as the first of the Twittergate 6 00:00:18,360 --> 00:00:24,480 Speaker 1: files were dropped. Matt Taiebe, a left wing journalist who 7 00:00:24,640 --> 00:00:27,400 Speaker 1: decided that he was going to continue to do this 8 00:00:27,440 --> 00:00:30,880 Speaker 1: thing known as journalism despite what it has become. Two 9 00:00:30,960 --> 00:00:36,320 Speaker 1: Democrats released released a bunch of internal communications from Twitter. 10 00:00:36,400 --> 00:00:38,839 Speaker 1: We're gonna break this down for you in a moment. 11 00:00:39,440 --> 00:00:43,120 Speaker 1: It's a massive story and it's just beginning to Elon 12 00:00:43,240 --> 00:00:47,120 Speaker 1: has already said there will be more of these revelations. 13 00:00:47,159 --> 00:00:51,519 Speaker 1: So it's clearly verified coming from within Twitter. And this 14 00:00:51,600 --> 00:00:53,680 Speaker 1: is exactly what Clay and I been saying we were 15 00:00:54,760 --> 00:00:57,680 Speaker 1: looking forward to seeing, hoping to see all along. Plus, 16 00:00:57,680 --> 00:01:02,200 Speaker 1: you got Fox News reporting more than seventy three thousand 17 00:01:02,360 --> 00:01:06,400 Speaker 1: illegal immigrants evaded border patrol just in the month of November, 18 00:01:07,160 --> 00:01:11,400 Speaker 1: so you're looking at about six hundred thousand gotaways in 19 00:01:11,400 --> 00:01:14,880 Speaker 1: fiscal year twenty twenty two that we know about. Talk 20 00:01:14,920 --> 00:01:18,360 Speaker 1: about what's going on down to the border blossros back 21 00:01:18,520 --> 00:01:23,000 Speaker 1: DA in Philadelphia, Larry Krasner is asking a court to 22 00:01:23,160 --> 00:01:26,479 Speaker 1: stop the impeachment proceedings against him because it turns out 23 00:01:27,160 --> 00:01:31,600 Speaker 1: that people eventually sometimes do get tired of being bludgeoned 24 00:01:31,640 --> 00:01:33,960 Speaker 1: with lead pipes by lunatics on the streets of their 25 00:01:33,959 --> 00:01:37,720 Speaker 1: own cities, and sometimes they don't want the Progressive DA 26 00:01:37,880 --> 00:01:40,119 Speaker 1: who lets those people go to continue to stay in 27 00:01:40,120 --> 00:01:43,759 Speaker 1: that role. So we've got a lot to dive into today, 28 00:01:43,800 --> 00:01:47,480 Speaker 1: plus the latest on all the machinations from within the GOP. 29 00:01:47,680 --> 00:01:50,360 Speaker 1: But Clay, I want to start with this. You and 30 00:01:50,400 --> 00:01:52,400 Speaker 1: I have both been fired up about this all throughout 31 00:01:52,440 --> 00:01:55,200 Speaker 1: the weekend. I usually try to take the weekend off 32 00:01:55,200 --> 00:01:57,040 Speaker 1: of Twitter. I know you've got a lot of sports stuff, 33 00:01:57,040 --> 00:01:59,720 Speaker 1: so you're you're plugged in and you're ready to go 34 00:01:59,760 --> 00:02:02,440 Speaker 1: all the time. But I just couldn't. I couldn't help myself. 35 00:02:03,080 --> 00:02:05,760 Speaker 1: The emails drop on Friday. We haven't talked about it 36 00:02:05,840 --> 00:02:10,200 Speaker 1: yet on this show. The short version is that the 37 00:02:10,360 --> 00:02:15,359 Speaker 1: Hunter Biden laptop suppression within Twitter was something that they 38 00:02:15,760 --> 00:02:21,760 Speaker 1: knew was based on a bogus premise. They also clearly 39 00:02:21,800 --> 00:02:25,840 Speaker 1: were taking action based on what the DNC Twitter would 40 00:02:26,400 --> 00:02:29,920 Speaker 1: suspend or delete the tweets of or basically do the 41 00:02:29,960 --> 00:02:34,000 Speaker 1: bidding of the DNC and the Biden campaign. And this 42 00:02:34,080 --> 00:02:35,880 Speaker 1: is just the very beginning of it. A lot of 43 00:02:35,880 --> 00:02:38,960 Speaker 1: people are saying, this looks like a rigged election in 44 00:02:39,000 --> 00:02:41,960 Speaker 1: twenty twenty, This looks like collusion between big tech and 45 00:02:42,000 --> 00:02:45,160 Speaker 1: the Democrat Party, and there could even be bright red 46 00:02:45,200 --> 00:02:47,799 Speaker 1: line violations or the First Amendment when all said and done, 47 00:02:47,800 --> 00:02:49,919 Speaker 1: based on what the White House actually did the Biden 48 00:02:49,960 --> 00:02:52,560 Speaker 1: White House, any of this surprising to you or is 49 00:02:52,560 --> 00:02:55,080 Speaker 1: this just hammering home everything that you thought all along? 50 00:02:55,600 --> 00:02:58,600 Speaker 1: It hammers home everything I thought all along. But what 51 00:02:58,639 --> 00:03:02,080 Speaker 1: it does is provide the receipt eats buck because your 52 00:03:02,320 --> 00:03:06,960 Speaker 1: and mine expectation of what was going on the relationship 53 00:03:07,040 --> 00:03:10,600 Speaker 1: between big tech and the Democrat Party could be surmised 54 00:03:10,600 --> 00:03:12,880 Speaker 1: based on the results, but we didn't have the hard 55 00:03:12,880 --> 00:03:16,480 Speaker 1: and faster seats, the data, the smoking gun evidence of 56 00:03:16,480 --> 00:03:19,000 Speaker 1: that occurring. And so I know a lot of people 57 00:03:19,000 --> 00:03:22,200 Speaker 1: out there kind of maybe are overwhelmed by this story 58 00:03:22,240 --> 00:03:25,359 Speaker 1: in general. So I was thinking, how would you sum 59 00:03:25,440 --> 00:03:29,359 Speaker 1: this up succinctly in like a couple of sentences as 60 00:03:29,400 --> 00:03:31,720 Speaker 1: a theory of the case. If you were talking to 61 00:03:31,800 --> 00:03:34,280 Speaker 1: a jury. And here's what I would say, Buck, and 62 00:03:34,320 --> 00:03:39,080 Speaker 1: I'm curious how you would expound upon it. Essentially, what 63 00:03:39,160 --> 00:03:42,440 Speaker 1: was going on here is and we're going to talk 64 00:03:42,480 --> 00:03:46,160 Speaker 1: to Miranda Divine at twelve thirty Eastern nine thirty on 65 00:03:46,200 --> 00:03:49,360 Speaker 1: the West Coast because she has a big part of this. 66 00:03:50,040 --> 00:03:53,240 Speaker 1: The FBI in the run up to the twenty twenty 67 00:03:53,240 --> 00:03:58,440 Speaker 1: election was regularly briefing big tech companies to be aware 68 00:03:58,520 --> 00:04:02,280 Speaker 1: that there could be Russian disinformation coming in an effort 69 00:04:02,360 --> 00:04:07,200 Speaker 1: to swing the election, potentially involving the Biden family. They knew, 70 00:04:07,280 --> 00:04:10,880 Speaker 1: the FBI did, that they had a laptop, that it 71 00:04:11,000 --> 00:04:14,480 Speaker 1: was real, that there was no basis upon which to 72 00:04:14,680 --> 00:04:17,719 Speaker 1: argue it was Russian disinformation. Remember, the FBI already had 73 00:04:17,720 --> 00:04:20,760 Speaker 1: this laptop. But they also knew that big tech wanted 74 00:04:20,800 --> 00:04:24,360 Speaker 1: Joe Biden to win, and so they seeded the territory 75 00:04:24,760 --> 00:04:27,520 Speaker 1: in a fertile way with the idea that there was 76 00:04:27,600 --> 00:04:31,000 Speaker 1: going to be Russian disinformation coming. The FBI also knew, 77 00:04:31,040 --> 00:04:34,560 Speaker 1: because they had Rudy Giuliani under surveillance, that he was 78 00:04:35,400 --> 00:04:38,279 Speaker 1: trying to get this laptop. Written about by a variety 79 00:04:38,279 --> 00:04:42,440 Speaker 1: of different sources out there in the media. New York 80 00:04:42,440 --> 00:04:45,320 Speaker 1: Post ended up writing this Miranda divine, we'll talk about her. 81 00:04:45,960 --> 00:04:50,920 Speaker 1: So when this story drops in October, Twitter immediately locks 82 00:04:51,000 --> 00:04:54,839 Speaker 1: this story and Facebook, as we know through Mark Zuckerberg, 83 00:04:55,000 --> 00:04:58,200 Speaker 1: they also restricted the distribution of this story. Twitter wouldn't 84 00:04:58,200 --> 00:05:02,200 Speaker 1: even allow buck the story be shared via DM, which 85 00:05:02,279 --> 00:05:04,760 Speaker 1: is a direct message that's not even a public way. 86 00:05:05,000 --> 00:05:07,920 Speaker 1: They wouldn't allow you to share it in your messages 87 00:05:07,920 --> 00:05:11,960 Speaker 1: with other people. They locked the New York Post Twitter account. 88 00:05:12,800 --> 00:05:17,000 Speaker 1: They allowed all of this, all of this fertile terrain 89 00:05:17,120 --> 00:05:20,240 Speaker 1: to be further seated that this was Russian disinformation. They 90 00:05:20,279 --> 00:05:23,599 Speaker 1: refused to allow this story to be shared. They came 91 00:05:23,680 --> 00:05:27,760 Speaker 1: up with flimsy rationale arguing that it was hacked materials, 92 00:05:28,160 --> 00:05:31,120 Speaker 1: and it took a very long time until Twitter finally 93 00:05:31,160 --> 00:05:33,880 Speaker 1: allowed this story to be shared by the New York Posts. 94 00:05:34,240 --> 00:05:37,200 Speaker 1: I believe all of that. One thing. We need to 95 00:05:37,200 --> 00:05:41,360 Speaker 1: know who was the FBI agent or agents or official 96 00:05:41,400 --> 00:05:45,400 Speaker 1: in power who started all these briefings and clearly was 97 00:05:45,440 --> 00:05:48,920 Speaker 1: working effectively as an agent of the Biden campaign. Who 98 00:05:49,000 --> 00:05:51,880 Speaker 1: was that person or persons. We need an investigation in 99 00:05:51,920 --> 00:05:56,120 Speaker 1: the House of Representatives. We also need a full and 100 00:05:56,200 --> 00:06:00,840 Speaker 1: transparent further release of documents because This didn't stop, right, 101 00:06:00,920 --> 00:06:04,640 Speaker 1: This didn't stop with the Biden administration when they got 102 00:06:04,680 --> 00:06:06,800 Speaker 1: into the White House. We know it happened on jan six, 103 00:06:06,960 --> 00:06:09,440 Speaker 1: We know what happened on COVID. We know that the 104 00:06:09,480 --> 00:06:12,719 Speaker 1: Biden administration has been using big tech as a default 105 00:06:13,120 --> 00:06:18,120 Speaker 1: coordinated arm to help collude against their pocal opposition. This 106 00:06:18,240 --> 00:06:21,600 Speaker 1: is this makes Watergate, as I said on Fox News 107 00:06:21,600 --> 00:06:25,080 Speaker 1: over the weekend, bucket, makes Watergate look like jaywalking in 108 00:06:25,240 --> 00:06:28,800 Speaker 1: terms of the part and parcel. And what I'm fascinated 109 00:06:28,800 --> 00:06:33,520 Speaker 1: by as well is the continued refusal of the New 110 00:06:33,560 --> 00:06:38,200 Speaker 1: York Times, the Washington Post, ABCNBCCBS, the usual suspects, and 111 00:06:38,200 --> 00:06:41,480 Speaker 1: the quote unquote mainstream media to refuse to cover this 112 00:06:41,560 --> 00:06:45,120 Speaker 1: story buck because a lot of their audience still has 113 00:06:45,160 --> 00:06:50,320 Speaker 1: no idea this went on. And if the largest censorship 114 00:06:50,360 --> 00:06:53,080 Speaker 1: by a major American corporation that has ever existed in 115 00:06:53,120 --> 00:06:57,480 Speaker 1: our lives proven via the Twitter release, docks is not newsworthy, 116 00:06:58,440 --> 00:07:01,479 Speaker 1: what world are you living on? And a lot of 117 00:07:01,880 --> 00:07:03,680 Speaker 1: a lot of the first and oh, it's not the 118 00:07:03,680 --> 00:07:06,080 Speaker 1: First Amendment because it wasn't the government. First of all, 119 00:07:06,120 --> 00:07:08,520 Speaker 1: we are soon about to find out that it was 120 00:07:08,600 --> 00:07:12,160 Speaker 1: the government as in the Biden White House on COVID 121 00:07:12,400 --> 00:07:16,120 Speaker 1: on election denial, even we already seen with with Alex Parenson. 122 00:07:16,200 --> 00:07:18,600 Speaker 1: But the is the government buck even if they're saying 123 00:07:18,600 --> 00:07:22,000 Speaker 1: it's the Biden campaign. According to Miranda Divine, the FBI 124 00:07:22,160 --> 00:07:25,440 Speaker 1: is briefing Twitter on this, that is the government right. 125 00:07:25,520 --> 00:07:30,480 Speaker 1: So even eventually, yes, when they got the censorship decisions right, 126 00:07:30,520 --> 00:07:34,400 Speaker 1: the FBI can give briefings. And obviously that's highly suspicious. 127 00:07:34,680 --> 00:07:37,880 Speaker 1: But unless the FBI is targeting individuals and saying shut 128 00:07:37,880 --> 00:07:41,160 Speaker 1: this down, shut this person down, that's obviously direct government 129 00:07:41,200 --> 00:07:44,400 Speaker 1: action for them saying, hey, keep an eye out for this. 130 00:07:44,680 --> 00:07:47,880 Speaker 1: They're operating in that deep state gray area. Whereas as 131 00:07:47,960 --> 00:07:50,760 Speaker 1: gross as it is, it's not going to be this well, 132 00:07:50,800 --> 00:07:54,640 Speaker 1: so you guys basically are just violating the First Amendment 133 00:07:54,720 --> 00:07:58,800 Speaker 1: rights of the American people of American citizens very directly. 134 00:07:58,840 --> 00:08:00,800 Speaker 1: I think we're going to find out out that the 135 00:08:00,840 --> 00:08:03,760 Speaker 1: Biden White House did that, not just with Barrenson. We 136 00:08:03,800 --> 00:08:05,640 Speaker 1: know they did it with Berenson. That's what's so interesting. 137 00:08:05,760 --> 00:08:08,800 Speaker 1: People are already saying, oh, budd, no, they did it 138 00:08:08,840 --> 00:08:11,480 Speaker 1: to Barrenson. We're gonna, I think see that it was 139 00:08:11,600 --> 00:08:14,960 Speaker 1: much broader than that. That there was a campaign of 140 00:08:15,040 --> 00:08:17,880 Speaker 1: suppression from the very top, and the White House was 141 00:08:17,920 --> 00:08:22,480 Speaker 1: going to be pushing certain voices out. And that's that's massive. 142 00:08:22,600 --> 00:08:26,080 Speaker 1: I mean, there's going to be a transformative effect I 143 00:08:26,120 --> 00:08:29,200 Speaker 1: think of perception here and for people who are saying, 144 00:08:29,440 --> 00:08:31,040 Speaker 1: you know, there's a lot of this right, Oh, but 145 00:08:31,080 --> 00:08:33,280 Speaker 1: it's not that big a deal. It's a private company. 146 00:08:33,320 --> 00:08:35,920 Speaker 1: It could do what it wanted before Elon took over. 147 00:08:36,640 --> 00:08:40,839 Speaker 1: Imagine for a moment, the Washington Post, the New York Times, 148 00:08:40,880 --> 00:08:45,760 Speaker 1: and CNN all got together and printed a fabricated story 149 00:08:45,880 --> 00:08:47,839 Speaker 1: about which they did with Russia collusion by the way, 150 00:08:47,840 --> 00:08:50,160 Speaker 1: but just put that aside. The night before the election, 151 00:08:50,720 --> 00:08:53,480 Speaker 1: they have some story that you know, Donald Trump actually 152 00:08:53,920 --> 00:08:56,840 Speaker 1: you know, murdered somebody in a drunk driving accident when 153 00:08:56,880 --> 00:08:58,679 Speaker 1: he was you know, with his mistress. Oh, you mean 154 00:08:58,720 --> 00:09:01,360 Speaker 1: like Teddy Kennedy. But the point they just made up 155 00:09:01,360 --> 00:09:03,600 Speaker 1: that story the night before or the day before an election. 156 00:09:04,400 --> 00:09:06,560 Speaker 1: You could say, yeah, they're allowed to do that, but 157 00:09:06,640 --> 00:09:09,160 Speaker 1: what would we think of them afterwards? What were you 158 00:09:09,160 --> 00:09:11,640 Speaker 1: think of the of the Democrat apparatus that went along 159 00:09:11,679 --> 00:09:15,000 Speaker 1: with that. They basically did that just through censorship and 160 00:09:15,040 --> 00:09:20,559 Speaker 1: suppression instead of outright propaganda and falsehood, and I think 161 00:09:20,600 --> 00:09:22,440 Speaker 1: everyone needs to see this for what it is. The 162 00:09:22,520 --> 00:09:26,360 Speaker 1: worst fears about the democratic line corporate media are true, 163 00:09:26,520 --> 00:09:29,200 Speaker 1: the worst fears about the social media platforms. Let's not 164 00:09:29,240 --> 00:09:32,600 Speaker 1: forget Facebook went along with this too, and we don't 165 00:09:32,640 --> 00:09:36,280 Speaker 1: have the receipts from Facebook and YouTube. Were a bunch 166 00:09:36,360 --> 00:09:41,240 Speaker 1: of little digital stazi about the election, about covid, Google, 167 00:09:41,679 --> 00:09:45,880 Speaker 1: the same little whimps that can't handle the mean things 168 00:09:45,960 --> 00:09:48,400 Speaker 1: in a night, and I'm gonna shut them down. Those 169 00:09:48,440 --> 00:09:53,640 Speaker 1: same people suffering from emotional instability and low testosterone. They've 170 00:09:53,720 --> 00:09:58,240 Speaker 1: run social media trust and safety at Google, at Facebook, 171 00:09:58,240 --> 00:10:01,440 Speaker 1: at TikTok and Amazon and aiming. So this is just 172 00:10:01,480 --> 00:10:03,640 Speaker 1: the beginning. I think I have a much larger conversation 173 00:10:03,679 --> 00:10:06,640 Speaker 1: about that as well. Yeah, Jen Psaki actually and we 174 00:10:06,720 --> 00:10:09,240 Speaker 1: talked about this at the time that she said it. 175 00:10:09,360 --> 00:10:13,480 Speaker 1: She bragged from the White House press briefings that they 176 00:10:13,520 --> 00:10:17,640 Speaker 1: were in the White House regular consultations with big tech 177 00:10:17,720 --> 00:10:20,640 Speaker 1: companies about statements that were being made on their platforms 178 00:10:20,640 --> 00:10:24,280 Speaker 1: that they don't appreciate, don't like, and believe should be removed. 179 00:10:24,760 --> 00:10:29,000 Speaker 1: So I think as the Biden administration came into the 180 00:10:29,040 --> 00:10:32,960 Speaker 1: White House, you are correct that based on their campaign 181 00:10:33,080 --> 00:10:36,959 Speaker 1: relationships with big tech, they were emboldened to take on 182 00:10:37,880 --> 00:10:42,800 Speaker 1: an unbelievable and I think unconstitutional level of collusion with 183 00:10:42,920 --> 00:10:47,840 Speaker 1: big tech companies to remove their political adversaries, people who 184 00:10:47,880 --> 00:10:51,400 Speaker 1: were arguing against the things that they believed in. And 185 00:10:52,040 --> 00:10:56,000 Speaker 1: as eoon Must continues to release this information, what's significant 186 00:10:56,080 --> 00:10:58,560 Speaker 1: is not only what's happening at Twitter, but to your point, Buck, 187 00:10:58,920 --> 00:11:02,000 Speaker 1: if it was happening Twitter, we know Facebook and Instagram 188 00:11:02,040 --> 00:11:04,679 Speaker 1: and YouTube which is owned by Google, all of those 189 00:11:04,720 --> 00:11:08,200 Speaker 1: companies were also working in concert. As we talked about, 190 00:11:08,840 --> 00:11:11,959 Speaker 1: this was evident based on the results when Donald Trump 191 00:11:12,000 --> 00:11:16,200 Speaker 1: got suspended by every tech platform on the planet, including 192 00:11:16,240 --> 00:11:18,720 Speaker 1: and I always think it's kind of funny, but Pinurist. 193 00:11:19,040 --> 00:11:21,679 Speaker 1: Pinchurist was like, Donald Trump could have nothing to do 194 00:11:21,760 --> 00:11:26,440 Speaker 1: with our plant. Was not allowed to share his arrangement, nothing, Yeah, 195 00:11:26,960 --> 00:11:30,480 Speaker 1: his cooking recipes like none of it was allowed to 196 00:11:30,480 --> 00:11:34,040 Speaker 1: be shared on Pinterest. But the idea that even Pinchurist 197 00:11:34,160 --> 00:11:38,880 Speaker 1: was taking this action, it was an unbelievable connection of 198 00:11:38,920 --> 00:11:42,520 Speaker 1: everybody reaching the same results because of the Biden administration, 199 00:11:43,280 --> 00:11:47,600 Speaker 1: they depersoned a sitting president from the internet. I mean, 200 00:11:47,640 --> 00:11:50,040 Speaker 1: just can everyone just take take a moment, the actual 201 00:11:50,080 --> 00:11:52,480 Speaker 1: president of the United States, the leader of the free world, 202 00:11:52,520 --> 00:11:55,600 Speaker 1: the guy sitting at sixteen hundred Pennsylvania in the Oval Office, 203 00:11:56,280 --> 00:12:00,600 Speaker 1: was deep personed by the most powerful media company on 204 00:12:00,640 --> 00:12:05,040 Speaker 1: the internet across the board simultaneously. That's what they did 205 00:12:05,080 --> 00:12:07,640 Speaker 1: because of a dispute. And this was after four years 206 00:12:07,640 --> 00:12:10,160 Speaker 1: of lying about him, all those companies saying that he 207 00:12:10,440 --> 00:12:13,199 Speaker 1: stole the twenty sixteen election with Russia. Look, I understand 208 00:12:13,200 --> 00:12:15,000 Speaker 1: why a lot of people are just like, burn the 209 00:12:15,000 --> 00:12:18,040 Speaker 1: whole system down. I can't handle this anymore. And it's 210 00:12:18,080 --> 00:12:22,240 Speaker 1: not just Trump either. To remind our listeners, our interview 211 00:12:22,240 --> 00:12:27,480 Speaker 1: with Trump from Bedminster this summer, YouTube pulled it down 212 00:12:27,679 --> 00:12:31,199 Speaker 1: and refused to allow that interview to be posted. So 213 00:12:31,600 --> 00:12:34,679 Speaker 1: it's not even just Trump, it's the entire pnumber of 214 00:12:34,880 --> 00:12:39,120 Speaker 1: surrounding Trump. Our radio show we had Trump on as 215 00:12:39,160 --> 00:12:43,080 Speaker 1: a guest. We weren't allowed to post the interview that 216 00:12:43,160 --> 00:12:46,040 Speaker 1: he did with us on YouTube because they said it 217 00:12:46,160 --> 00:12:49,280 Speaker 1: violated their terms of service. Think about how crazy that is. 218 00:12:49,600 --> 00:12:52,680 Speaker 1: We are the biggest radio show in the country and 219 00:12:52,760 --> 00:12:55,320 Speaker 1: we're conducting an interview of an individual and we're not 220 00:12:55,360 --> 00:12:58,400 Speaker 1: allowed to share that interview. Because they don't like the 221 00:12:58,440 --> 00:13:00,840 Speaker 1: answers to some of the questions that Donald Trump gave. 222 00:13:01,320 --> 00:13:05,000 Speaker 1: That is in next level censorship over and beyond. I 223 00:13:05,080 --> 00:13:07,360 Speaker 1: can't defend it for Trump, but I certainly can't defend 224 00:13:07,679 --> 00:13:09,640 Speaker 1: why you would censor the biggest radio show in the 225 00:13:09,640 --> 00:13:12,480 Speaker 1: country and this allow us to share our content. If 226 00:13:12,520 --> 00:13:16,160 Speaker 1: they could get away with doing what China does, there 227 00:13:16,320 --> 00:13:21,160 Speaker 1: is an entire cadre within the Democrat leadership of this country. 228 00:13:21,200 --> 00:13:24,199 Speaker 1: They would do it. They would shut down all opposition, 229 00:13:24,320 --> 00:13:26,760 Speaker 1: they would have a one party state, and with the 230 00:13:26,840 --> 00:13:28,559 Speaker 1: help of big tech, they felt like they were getting 231 00:13:28,559 --> 00:13:30,959 Speaker 1: pretty close to it. By the way, and what Elon 232 00:13:31,040 --> 00:13:33,319 Speaker 1: Musk has done here, no matter ever keeps saying, oh, 233 00:13:33,360 --> 00:13:36,319 Speaker 1: you can't trust him. Yeah, but now he's already it's 234 00:13:36,360 --> 00:13:39,160 Speaker 1: already out there, we already know. First of all, I 235 00:13:39,160 --> 00:13:41,640 Speaker 1: think Elon has kept to his word on everything so 236 00:13:41,679 --> 00:13:44,840 Speaker 1: far and has taken an enormous amount of heat. And 237 00:13:44,920 --> 00:13:46,640 Speaker 1: I think the guy has been a heck of an 238 00:13:46,640 --> 00:13:50,199 Speaker 1: impressive individual on this taking on this fight. I think 239 00:13:50,200 --> 00:13:52,720 Speaker 1: he does believe Western civilization is at stake, and I 240 00:13:52,720 --> 00:13:54,839 Speaker 1: think he's right, and I think he does believe the 241 00:13:54,840 --> 00:13:57,240 Speaker 1: First Amendment is absolutely at stake, and I think he's right, 242 00:13:57,800 --> 00:14:00,320 Speaker 1: and just the fact they'll Clay that he's shown us 243 00:14:00,600 --> 00:14:03,439 Speaker 1: this much so far, we should show the other side though, 244 00:14:03,800 --> 00:14:05,719 Speaker 1: now that we have these people like the Trust and 245 00:14:05,840 --> 00:14:08,640 Speaker 1: Safety chief. Oh yeah, we need to play those audio 246 00:14:08,679 --> 00:14:11,640 Speaker 1: clips for you when we come back. And Miranda Divine 247 00:14:11,840 --> 00:14:13,240 Speaker 1: is going to be great, I think at the bottom 248 00:14:13,280 --> 00:14:15,040 Speaker 1: of this hour here in about fifteen minutes when she 249 00:14:15,080 --> 00:14:16,760 Speaker 1: talks with us. Why did the FBI? I mean, you 250 00:14:16,840 --> 00:14:18,480 Speaker 1: raise this before, and I didn't want to get ahead 251 00:14:18,480 --> 00:14:20,160 Speaker 1: of what Miranda is going to say because she'll do 252 00:14:20,200 --> 00:14:22,960 Speaker 1: the deep dive for us. Why the FBI know that 253 00:14:23,000 --> 00:14:26,840 Speaker 1: there was some Hunter Biden specific quote hack that may 254 00:14:26,840 --> 00:14:30,440 Speaker 1: be happening. That's real weird, Clay, the same FBI that's 255 00:14:30,440 --> 00:14:32,640 Speaker 1: not supposed to be investigating Hunter Biden because you know 256 00:14:32,680 --> 00:14:35,600 Speaker 1: he didn't do anything wrong. Why did they know this? Hm, 257 00:14:35,920 --> 00:14:38,480 Speaker 1: it's pretty weird, isn't it. Everybody. We're gonna get to 258 00:14:38,480 --> 00:14:40,880 Speaker 1: the bottom of it. Look, are you tired of overpaying 259 00:14:40,920 --> 00:14:42,640 Speaker 1: for your cell phone service? Because I know I was. 260 00:14:42,960 --> 00:14:45,480 Speaker 1: How about this. You can get talk, texts and blazing 261 00:14:45,560 --> 00:14:48,400 Speaker 1: fast data for just thirty dollars a month. It's on 262 00:14:48,440 --> 00:14:50,880 Speaker 1: the same network the same tower, same coverage as the 263 00:14:50,880 --> 00:14:53,920 Speaker 1: other guys, but for half the price. This is great news. 264 00:14:54,160 --> 00:14:57,000 Speaker 1: You can start saving today without having to sacrifice on coverage. 265 00:14:57,000 --> 00:14:59,240 Speaker 1: How do I know? I'm a Pure Talk customer. This 266 00:14:59,280 --> 00:15:02,040 Speaker 1: is what my phone services on. 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Switch 276 00:15:28,080 --> 00:15:30,080 Speaker 1: to a company, a cell phone company that actually shares 277 00:15:30,120 --> 00:15:33,920 Speaker 1: your values, believes in patriotism, free speech, and freedom. That's 278 00:15:33,960 --> 00:15:36,800 Speaker 1: Pure Talk. Dial from your phone right now, pound two 279 00:15:36,920 --> 00:15:39,920 Speaker 1: five zero, say clay an Buck. Into your phone. That's 280 00:15:39,960 --> 00:15:42,880 Speaker 1: pound two five zero say Clay and Buck. Switch to 281 00:15:42,960 --> 00:15:48,120 Speaker 1: Pure Talk. Welcome back to clay an Buck has promised. 282 00:15:48,560 --> 00:15:52,320 Speaker 1: Miranda divine with us now New York Post columnist, author 283 00:15:52,480 --> 00:15:57,920 Speaker 1: of Laptop from Hell and Fox's contributor. She has a 284 00:15:58,040 --> 00:16:01,720 Speaker 1: great piece up. The f I warned Twitter during weekly 285 00:16:01,800 --> 00:16:08,560 Speaker 1: meetings of Hunter Biden hack and leak operation before censoring 286 00:16:08,640 --> 00:16:12,120 Speaker 1: the New York Post, Miranda, appreciate you coming back. Great 287 00:16:12,160 --> 00:16:14,760 Speaker 1: to be with you guys. So this is this is 288 00:16:14,760 --> 00:16:18,440 Speaker 1: a big deal, and you lay it out in in 289 00:16:18,560 --> 00:16:21,280 Speaker 1: detail in your piece at the New York Post. But 290 00:16:21,760 --> 00:16:24,880 Speaker 1: walk everybody through this and the evidence we have that 291 00:16:24,960 --> 00:16:30,240 Speaker 1: the FBI was telling the big tech companies that basically, 292 00:16:30,720 --> 00:16:33,000 Speaker 1: get ready for it. They're coming with some kind of 293 00:16:33,000 --> 00:16:37,480 Speaker 1: a leak operation. How would they know this, Well, we 294 00:16:37,560 --> 00:16:41,560 Speaker 1: had that information from a spawn declaration by a guy 295 00:16:41,640 --> 00:16:45,880 Speaker 1: called yol Roth, who is a former top executive at Twitter, 296 00:16:46,480 --> 00:16:50,880 Speaker 1: and he said that in the weekly meetings that the 297 00:16:51,000 --> 00:16:55,640 Speaker 1: FBI was having with Twitter before the twenty twenty election, 298 00:16:56,280 --> 00:17:02,280 Speaker 1: they warned Twitter to expect a dump, a hack and 299 00:17:02,480 --> 00:17:10,840 Speaker 1: leak operation, hacked material involving probably Hunter Biden, likely in October. 300 00:17:11,280 --> 00:17:15,760 Speaker 1: And they said this was an operation by quote stage actors, 301 00:17:15,920 --> 00:17:20,400 Speaker 1: which is really kind of intel speak for Russians. So, 302 00:17:20,480 --> 00:17:25,720 Speaker 1: in other words, Twitter was told a Russian disinformation operation 303 00:17:25,920 --> 00:17:31,320 Speaker 1: hacked material involving Hunter Biden's in October. And what happens 304 00:17:31,320 --> 00:17:34,560 Speaker 1: in October. The New York Post publishes our story on 305 00:17:34,640 --> 00:17:40,320 Speaker 1: October fourteen, twenty twenty, basically with the Hunter Biden laptop 306 00:17:40,400 --> 00:17:44,760 Speaker 1: story that's detrimental to Joe Biden's candidacy, and it's just 307 00:17:44,880 --> 00:17:48,840 Speaker 1: three weeks before the election. All right, Miranda, this I've 308 00:17:48,840 --> 00:17:52,880 Speaker 1: been saying makes Watergate look like Jaywalking when you put 309 00:17:52,920 --> 00:17:57,680 Speaker 1: all these pieces together. So do we know who at 310 00:17:57,720 --> 00:18:04,320 Speaker 1: the FBI was facilitating or encouraging, or ordering or demanding 311 00:18:04,359 --> 00:18:08,240 Speaker 1: whatever verb you want to use. There these briefings to 312 00:18:08,280 --> 00:18:10,440 Speaker 1: be given to Twitter, because I just want to tie 313 00:18:10,440 --> 00:18:12,840 Speaker 1: this in, and this is where we started. The FBI 314 00:18:12,960 --> 00:18:17,320 Speaker 1: clearly knew that big Tech was sympathetic to Joe Biden's campaign, 315 00:18:17,359 --> 00:18:20,399 Speaker 1: that they wanted Joe Biden to win. They also, you 316 00:18:20,440 --> 00:18:22,000 Speaker 1: can correct me if I'm wrong on any of this. 317 00:18:22,520 --> 00:18:26,400 Speaker 1: My understanding is they also had Rudy Giuliani under surveillance, 318 00:18:26,600 --> 00:18:31,200 Speaker 1: so they knew that he was talking to reporters, including 319 00:18:31,240 --> 00:18:34,639 Speaker 1: yourself other newspapers to try to get this story written. 320 00:18:35,119 --> 00:18:38,959 Speaker 1: We also, to my knowledge, the FBI was already in 321 00:18:39,080 --> 00:18:42,679 Speaker 1: possession of the Hunter Biden laptop at this point, meaning 322 00:18:42,720 --> 00:18:46,240 Speaker 1: they should have known that it was not some elaborate 323 00:18:46,320 --> 00:18:49,440 Speaker 1: Russian disc info fake because when you look at all 324 00:18:49,440 --> 00:18:52,520 Speaker 1: the information on that laptop, it's pretty clear that it 325 00:18:52,520 --> 00:18:56,119 Speaker 1: would be impossible to fake. Is all of that true? 326 00:18:56,359 --> 00:18:59,760 Speaker 1: Kind of use that information also to build on what 327 00:18:59,800 --> 00:19:05,000 Speaker 1: you just answered for back yet one hundred percent correct, Clay. 328 00:19:05,200 --> 00:19:09,720 Speaker 1: The FBI knew that our story was legitimate. They knew 329 00:19:09,760 --> 00:19:12,280 Speaker 1: that the laptop was legitimate because they had had it 330 00:19:12,320 --> 00:19:16,560 Speaker 1: in their possession since December twenty nineteen, almost a year, 331 00:19:17,080 --> 00:19:21,440 Speaker 1: And they also had done a lot of investigating of 332 00:19:21,640 --> 00:19:25,560 Speaker 1: John Paul Mackiaac, who was the computer repair shot guy 333 00:19:25,880 --> 00:19:30,359 Speaker 1: who had given them the laptop, and that it was 334 00:19:30,440 --> 00:19:33,440 Speaker 1: his store that Hunter Biden had abandoned his laptop at 335 00:19:33,480 --> 00:19:37,600 Speaker 1: in Delaware in April twenty nineteen, so he had hung 336 00:19:37,600 --> 00:19:40,520 Speaker 1: on to it. He looked at it. He was concerned 337 00:19:40,560 --> 00:19:44,160 Speaker 1: about national security issues he saught, particularly to do with 338 00:19:44,280 --> 00:19:46,800 Speaker 1: Ukraine and China. He thought, I have to get this 339 00:19:46,960 --> 00:19:50,360 Speaker 1: to the FBI. When he gave to the FBI, they 340 00:19:50,440 --> 00:19:53,520 Speaker 1: sort of were very strange, and they warned him that 341 00:19:53,640 --> 00:19:56,720 Speaker 1: people who picked their mouth shot don't get run into 342 00:19:56,800 --> 00:20:00,000 Speaker 1: any trouble. Then, after about eight months he got concerned 343 00:20:00,000 --> 00:20:03,480 Speaker 1: earned and he thought nobody is doing anything about this. 344 00:20:03,720 --> 00:20:07,520 Speaker 1: I'm going to start contacting Republican members of Congress. No 345 00:20:07,560 --> 00:20:10,760 Speaker 1: one answered any of his emails. The first person to 346 00:20:10,800 --> 00:20:15,040 Speaker 1: answer him was Rudy Giuliani October, sorry August twenty fourth 347 00:20:15,320 --> 00:20:18,760 Speaker 1: of twenty twenty. And that was at the time that 348 00:20:18,880 --> 00:20:23,320 Speaker 1: the FBI was spying on Rudy Giuliani's cloud. They had 349 00:20:23,720 --> 00:20:31,040 Speaker 1: a surveillance covert surveillance warrant into Rudy Giuliani for alleged 350 00:20:31,080 --> 00:20:34,440 Speaker 1: para violations, which they just dropped about it months ago. 351 00:20:35,560 --> 00:20:40,120 Speaker 1: They were completely baseless, but they were spying on him 352 00:20:40,400 --> 00:20:43,720 Speaker 1: on his cloud for two years without his knowledge, from 353 00:20:43,720 --> 00:20:47,400 Speaker 1: about a month after he started working as then President 354 00:20:47,440 --> 00:20:52,320 Speaker 1: Trump's personal lawyer, so they had access to all his 355 00:20:52,440 --> 00:20:56,399 Speaker 1: emails and messages in twenty twenty, including that one on 356 00:20:56,440 --> 00:20:59,480 Speaker 1: August twenty four I mentioned were John Paul mac Isaac 357 00:20:59,560 --> 00:21:04,160 Speaker 1: reached with a very detailed email saying what he had seen, 358 00:21:04,600 --> 00:21:09,320 Speaker 1: what concerned him, and he included some attachments from screenshots 359 00:21:09,320 --> 00:21:12,360 Speaker 1: from the laptop, So the FBI should have known exactly 360 00:21:12,359 --> 00:21:14,920 Speaker 1: what he had. They knew he was legit because they'd 361 00:21:14,920 --> 00:21:18,800 Speaker 1: interviewed him, they investigated him, They had the laptop so 362 00:21:18,880 --> 00:21:22,120 Speaker 1: they knew what was on it. Not only that they 363 00:21:22,160 --> 00:21:27,679 Speaker 1: had had a five hour interview with Tony Bobolynsky coming 364 00:21:27,760 --> 00:21:31,399 Speaker 1: up just before the election. So before the election, the 365 00:21:31,480 --> 00:21:35,080 Speaker 1: FBI knew that our story was legit. They knew John 366 00:21:35,080 --> 00:21:39,160 Speaker 1: Paul Isaac was legits, they knew the laptop was legit, 367 00:21:39,520 --> 00:21:43,919 Speaker 1: and still they continued with this lie that it was 368 00:21:44,119 --> 00:21:47,520 Speaker 1: going it was Russian disinformation. This was a Russian hack 369 00:21:47,600 --> 00:21:52,280 Speaker 1: and League operation, which effectively says that the laptop has 370 00:21:52,359 --> 00:21:57,600 Speaker 1: been hacked. Hunter Biden's laptop has been hacked by Russians, 371 00:21:57,680 --> 00:22:01,440 Speaker 1: and then the material has been leaked to you know, 372 00:22:02,920 --> 00:22:06,320 Speaker 1: terrible news organizations like ours that don't check with their 373 00:22:06,359 --> 00:22:11,040 Speaker 1: material and therefore it's just rushing disinformation. And we at 374 00:22:11,080 --> 00:22:14,320 Speaker 1: the New Post to stooges, that's what the FBI was 375 00:22:14,400 --> 00:22:18,760 Speaker 1: telling Twitter, and we believe Facebook as well. And also 376 00:22:19,359 --> 00:22:22,320 Speaker 1: they would have had access to my messages with Rudy 377 00:22:22,359 --> 00:22:26,840 Speaker 1: Giuliani in October twenty twenty, which would have talking about 378 00:22:26,880 --> 00:22:29,159 Speaker 1: when the post was publishing and what was going on, 379 00:22:29,200 --> 00:22:32,040 Speaker 1: what we were going to publish. So the FBI was 380 00:22:32,080 --> 00:22:36,120 Speaker 1: pretty well worded up about when the material was coming out, 381 00:22:36,520 --> 00:22:38,840 Speaker 1: where it was going to be coming out and what 382 00:22:39,119 --> 00:22:43,760 Speaker 1: was in it? Miranda, Do we know how high up 383 00:22:43,840 --> 00:22:46,480 Speaker 1: it would have to have gone at the FBI to 384 00:22:46,600 --> 00:22:50,280 Speaker 1: be having these briefings at Twitter and Facebook spreading frankly 385 00:22:50,640 --> 00:22:53,160 Speaker 1: clear lies that they knew were lies. And I think 386 00:22:53,160 --> 00:22:56,520 Speaker 1: that's important. Do we know who ordered this? Where you know, 387 00:22:56,640 --> 00:22:58,960 Speaker 1: for lack of a better term, everybody knows the code read. 388 00:22:59,000 --> 00:23:00,960 Speaker 1: I mean, this feels like it was a code read 389 00:23:01,040 --> 00:23:05,000 Speaker 1: that was ordered by the FBI. Who ordered it? Yeah? 390 00:23:04,800 --> 00:23:07,840 Speaker 1: I bet? I don't know. You know, it would have 391 00:23:07,920 --> 00:23:13,040 Speaker 1: been normal for Christopher Ray, the director, to have teams 392 00:23:13,160 --> 00:23:17,280 Speaker 1: going out and warning people about Russian disinformation or you know, 393 00:23:17,800 --> 00:23:22,159 Speaker 1: malign state actors trying to interfere with the election. I 394 00:23:22,320 --> 00:23:25,080 Speaker 1: doubt whether he knew that they were seeding or pre 395 00:23:25,200 --> 00:23:28,440 Speaker 1: bunking the New York Post story. Maybe they Maybe he did, 396 00:23:28,480 --> 00:23:30,720 Speaker 1: I don't know. But what we do know we know 397 00:23:30,800 --> 00:23:34,160 Speaker 1: the name of the Special Age and Elvis Chan in 398 00:23:34,200 --> 00:23:38,760 Speaker 1: San Francisco, who coordinated these weekly meetings in Silicon Valley 399 00:23:39,320 --> 00:23:44,280 Speaker 1: with you know, Facebook, Twitter, Google, And there were six 400 00:23:44,400 --> 00:23:47,400 Speaker 1: or seven FBI agents who were flying out every week 401 00:23:47,440 --> 00:23:50,520 Speaker 1: from Washington, DC for those meetings. And the reason we 402 00:23:50,600 --> 00:23:55,280 Speaker 1: know that is because Elvis Chan was just deposed on 403 00:23:55,440 --> 00:23:59,080 Speaker 1: Tuesday as part of this lawsuit that's been brought against 404 00:23:59,080 --> 00:24:05,680 Speaker 1: the Biden administration by the Republican attorneys general of both 405 00:24:05,720 --> 00:24:10,840 Speaker 1: Missouri and Louisiana and Eric Schmidt, now Senator elect, has 406 00:24:10,880 --> 00:24:15,040 Speaker 1: been driving that case and it's just fascinating the material 407 00:24:15,080 --> 00:24:18,359 Speaker 1: they've got out of it about collusion between big tech 408 00:24:18,640 --> 00:24:23,080 Speaker 1: and the federal government in violation of the First Amendment. Miranda, 409 00:24:23,160 --> 00:24:25,359 Speaker 1: you know, just just I want to ask him make 410 00:24:25,359 --> 00:24:28,040 Speaker 1: sure that I'm getting this right. It sounds like there 411 00:24:28,080 --> 00:24:31,800 Speaker 1: were what I would call deep state elements within the FBI. 412 00:24:32,280 --> 00:24:33,840 Speaker 1: We know there were many of them. Some of the 413 00:24:33,920 --> 00:24:35,679 Speaker 1: names are familiar to us now, but many of them 414 00:24:35,760 --> 00:24:40,119 Speaker 1: over the lies about Russia Trump collusion, who stayed in 415 00:24:40,160 --> 00:24:43,320 Speaker 1: the FBI and then in the next election thought that 416 00:24:43,359 --> 00:24:47,480 Speaker 1: it was their job to somehow stop Russia collusion again. 417 00:24:47,640 --> 00:24:51,000 Speaker 1: I mean, basically, were they true believers in this or 418 00:24:51,200 --> 00:24:54,800 Speaker 1: were they just using this as a pretextual scam to 419 00:24:55,040 --> 00:25:00,720 Speaker 1: help Joe Biden win. I don't really know that motivations, 420 00:25:00,800 --> 00:25:03,879 Speaker 1: but yes, I mean, ultimately they were helping Joe Biden 421 00:25:03,920 --> 00:25:07,080 Speaker 1: win and were determined that Donald Trump would not win. 422 00:25:07,760 --> 00:25:11,439 Speaker 1: Chief among those is a man called James Baker. He 423 00:25:11,680 --> 00:25:15,440 Speaker 1: was the General Counsel, as in, the top lawyer at 424 00:25:15,480 --> 00:25:19,000 Speaker 1: the FBI, and was deeply involved in all that Russia 425 00:25:19,040 --> 00:25:25,080 Speaker 1: collusion scam, everything from the Alpha Bank you know, Michael 426 00:25:25,119 --> 00:25:30,679 Speaker 1: Flynn and the Steel Doff, the Crossfire Hurricane, etc. He 427 00:25:30,760 --> 00:25:34,240 Speaker 1: also was involved, I believe, in the investigation into the 428 00:25:34,400 --> 00:25:40,080 Speaker 1: DNC hack back in twenty sixteen, supposedly done by Russians. 429 00:25:40,160 --> 00:25:44,119 Speaker 1: The jury is still out on that now. Interestingly, James Baker, 430 00:25:44,480 --> 00:25:48,959 Speaker 1: then just five months before the twenty twenty election, just 431 00:25:49,080 --> 00:25:53,919 Speaker 1: happened to turn up at Twitter. He became Twitters and 432 00:25:54,000 --> 00:25:59,080 Speaker 1: I believe still is Deputy General Council, And so he 433 00:25:59,240 --> 00:26:07,280 Speaker 1: was the FBI's man inside Twitter, deciding what subpoenas were 434 00:26:07,280 --> 00:26:11,800 Speaker 1: going to be accepted. When the FBI, for instance, wanted 435 00:26:11,880 --> 00:26:17,800 Speaker 1: to access Twitter accounts of people who might be uncomfortable 436 00:26:17,880 --> 00:26:20,840 Speaker 1: for Joe Biden, such as we've just found out from 437 00:26:20,840 --> 00:26:25,159 Speaker 1: a Daily Callers story Tara Reid, the woman who alleged 438 00:26:25,240 --> 00:26:29,320 Speaker 1: that Joe Biden many years ago had sexually assaulted her. 439 00:26:29,440 --> 00:26:32,600 Speaker 1: She came out before the twenty twenty election, and we 440 00:26:32,760 --> 00:26:37,760 Speaker 1: now know that the FBI subpoenaed Twitter for her account 441 00:26:37,840 --> 00:26:42,440 Speaker 1: all the details, including presumably the names of reporters who 442 00:26:42,440 --> 00:26:46,280 Speaker 1: were direct messaging her and interested in her story. So 443 00:26:46,359 --> 00:26:48,959 Speaker 1: that was going on before the election as well, and 444 00:26:49,119 --> 00:26:53,399 Speaker 1: James Baker's presence inside Twitter was very useful to the 445 00:26:53,560 --> 00:26:57,399 Speaker 1: Democratic Party and to the FBI. Miranda, we know you're busy, 446 00:26:57,400 --> 00:26:59,880 Speaker 1: and I've said before you deserve like nine or ten 447 00:27:00,000 --> 00:27:02,680 Speaker 1: Pulitzer prizes in a row, along with your colleagues at 448 00:27:02,720 --> 00:27:05,000 Speaker 1: the Post for what you have done on this story. 449 00:27:05,560 --> 00:27:09,560 Speaker 1: The document release on Friday. Last question for you, what, 450 00:27:09,800 --> 00:27:13,480 Speaker 1: if anything, did you get info that you needed or 451 00:27:13,600 --> 00:27:16,760 Speaker 1: wanted out of that? How would you assess what you 452 00:27:16,800 --> 00:27:21,560 Speaker 1: saw on Friday? Look, I thought it was interesting and 453 00:27:21,640 --> 00:27:25,479 Speaker 1: particularly there was an email. Unfortunately the date and time 454 00:27:25,600 --> 00:27:29,600 Speaker 1: was stripped off it. But Matt Taiebi, the journalist too, 455 00:27:29,720 --> 00:27:32,520 Speaker 1: was tasked by Elon Musk to release all that information. 456 00:27:33,520 --> 00:27:36,199 Speaker 1: Had this one email from James Baker in which he 457 00:27:36,280 --> 00:27:39,119 Speaker 1: weighed in on the decision. On the morning of the 458 00:27:39,160 --> 00:27:41,960 Speaker 1: fortyngth of October twenty twenty, when our story came out, 459 00:27:42,480 --> 00:27:45,280 Speaker 1: that internal discussion in Twitter about whether or not to 460 00:27:45,359 --> 00:27:49,399 Speaker 1: censor it, and he came down on the side of 461 00:27:49,480 --> 00:27:52,080 Speaker 1: censoring it, and he said, you know, we don't know 462 00:27:52,119 --> 00:27:55,280 Speaker 1: if it's hacked material, and we should err on the 463 00:27:55,359 --> 00:28:01,080 Speaker 1: side of caution. Yeah, it's crazy, particularly because that hacked 464 00:28:01,080 --> 00:28:05,800 Speaker 1: material policy they never applied in general. Yeah, you have 465 00:28:05,960 --> 00:28:08,080 Speaker 1: killed it. Thank you so much for making time for us. 466 00:28:09,000 --> 00:28:12,359 Speaker 1: Thanks so much, Clea. You know what, one of the 467 00:28:12,400 --> 00:28:15,040 Speaker 1: things you learn as you look more and more into 468 00:28:15,200 --> 00:28:18,600 Speaker 1: the Twitter hacked emails is Twitter is run by a 469 00:28:18,600 --> 00:28:22,400 Speaker 1: bunch of beta mails with no testosterone. You just listen 470 00:28:22,440 --> 00:28:25,720 Speaker 1: to these dudes talk and you think to yourself, my god, 471 00:28:26,040 --> 00:28:30,240 Speaker 1: these guys have no spine, They have no actual masculinity 472 00:28:30,359 --> 00:28:33,720 Speaker 1: in their bodies. What would Twitter look like if it 473 00:28:33,760 --> 00:28:37,520 Speaker 1: had been run by actual men, by actual men with 474 00:28:37,640 --> 00:28:40,960 Speaker 1: testosterone as opposed to We're going to continue to play 475 00:28:41,000 --> 00:28:43,480 Speaker 1: some of these clips people who felt like they were 476 00:28:43,520 --> 00:28:48,400 Speaker 1: traumatized by mean words on the internet. Maybe, just maybe 477 00:28:48,680 --> 00:28:52,000 Speaker 1: Twitter wouldn't be the cesspool that it has become because 478 00:28:52,080 --> 00:28:55,640 Speaker 1: weak men unfortunately make things worse. Don't be a weak 479 00:28:55,680 --> 00:28:58,920 Speaker 1: man yourself. Go to chalk today, don't be like the 480 00:28:59,000 --> 00:29:03,200 Speaker 1: Biden in ministry. Should actually have testosterone in your body, 481 00:29:03,320 --> 00:29:06,600 Speaker 1: them vigor, vitality, it's all natural. But you know what 482 00:29:06,680 --> 00:29:10,520 Speaker 1: testosterone is collapsing in this country, and most guys don't 483 00:29:10,520 --> 00:29:13,840 Speaker 1: realize it. Studies have shown a slow and steady decrease 484 00:29:13,880 --> 00:29:17,720 Speaker 1: in testosterone in mendation wide, down fifty percent over the 485 00:29:17,760 --> 00:29:20,680 Speaker 1: last fifty years. You know who's noticing? Women? Lots of 486 00:29:20,680 --> 00:29:23,800 Speaker 1: women looking around saying, man, there's a lot of what'ses 487 00:29:23,880 --> 00:29:26,200 Speaker 1: out there. You know, if you're a single woman, you 488 00:29:26,240 --> 00:29:28,320 Speaker 1: can't even find a man to date because all of 489 00:29:28,360 --> 00:29:32,800 Speaker 1: them are so lacking in testosterone. Get hooked up today. 490 00:29:33,200 --> 00:29:37,000 Speaker 1: Get your Chalk pure potent daily supplements. Get yourself set 491 00:29:37,080 --> 00:29:38,840 Speaker 1: up with a subscription to get them. You can do 492 00:29:38,920 --> 00:29:42,880 Speaker 1: it online at chalk dot com. That's cchoq dot com. 493 00:29:42,920 --> 00:29:46,480 Speaker 1: Thirty five percent off any Chalk subscription for life. When 494 00:29:46,520 --> 00:29:50,000 Speaker 1: you use my name Clay in the checkout process. That's 495 00:29:50,120 --> 00:29:53,760 Speaker 1: chalk dot com. My name Clay thirty five percent off 496 00:29:53,880 --> 00:29:57,960 Speaker 1: cchoq dot com. Check it out today, thirty five percent 497 00:29:58,000 --> 00:30:00,960 Speaker 1: off for life. Don't be like the losers men who 498 00:30:01,000 --> 00:30:06,400 Speaker 1: work in Twitter. Get testosterone in your life today. Third 499 00:30:06,400 --> 00:30:08,640 Speaker 1: hour of the Clay Travis buck Sexton Show gets going 500 00:30:08,720 --> 00:30:13,520 Speaker 1: right now. Everybody wanted to shift our focus for a 501 00:30:13,520 --> 00:30:17,120 Speaker 1: few moments here to the world of criminal justice and 502 00:30:17,280 --> 00:30:23,200 Speaker 1: some very high profile crimes and the investigations the aftermath 503 00:30:23,320 --> 00:30:26,400 Speaker 1: of them right now that deserves some of our attention. 504 00:30:26,560 --> 00:30:30,320 Speaker 1: And also what's going on with the law enforcement apparatus, 505 00:30:30,360 --> 00:30:34,760 Speaker 1: the prosecutorial arm of various state and local governments. I 506 00:30:34,760 --> 00:30:37,680 Speaker 1: would just know because Clay and I are both and 507 00:30:37,760 --> 00:30:40,200 Speaker 1: there are a number of different cases and incidents I 508 00:30:40,280 --> 00:30:42,400 Speaker 1: want to get to here. But to start off with, 509 00:30:43,600 --> 00:30:48,040 Speaker 1: there is very little movement, very little additional detail at 510 00:30:48,080 --> 00:30:54,640 Speaker 1: this point about that quadruple murder in Idaho. One of 511 00:30:54,640 --> 00:30:58,400 Speaker 1: the victim's parents, according to the Daily Mail here, cryptically 512 00:30:58,440 --> 00:31:02,479 Speaker 1: claim the means of between two of the students don't match, 513 00:31:03,080 --> 00:31:06,400 Speaker 1: despite cops saying all four were stabbed to death. And 514 00:31:06,440 --> 00:31:08,960 Speaker 1: they also are claiming that the Idaho cops ruled out 515 00:31:08,960 --> 00:31:15,240 Speaker 1: certain people too quickly. So that's there's very little additional 516 00:31:15,280 --> 00:31:19,360 Speaker 1: information on this one, and I haven't They've said they 517 00:31:19,400 --> 00:31:22,720 Speaker 1: don't want people theorizing publicly, and maybe that's part of it, 518 00:31:22,720 --> 00:31:25,120 Speaker 1: but I honestly think it's just hard to even have 519 00:31:25,240 --> 00:31:27,360 Speaker 1: a theory that holds together at this point because there's 520 00:31:27,400 --> 00:31:32,400 Speaker 1: so little information. So we're continuing to watch this very closely, 521 00:31:32,440 --> 00:31:35,680 Speaker 1: and this is just one that the whole community of 522 00:31:37,120 --> 00:31:42,320 Speaker 1: Idaho is feeling. This is still quite frightened, honestly in 523 00:31:42,360 --> 00:31:45,320 Speaker 1: the immediate environs of where this happened. So we'll continue 524 00:31:45,320 --> 00:31:47,720 Speaker 1: to look at that. And then also, you know, Clay, 525 00:31:47,760 --> 00:31:52,400 Speaker 1: there was this eighty three year old man who was 526 00:31:52,640 --> 00:31:58,680 Speaker 1: in a best oh, i'm sorry, a home depot and 527 00:31:59,080 --> 00:32:02,920 Speaker 1: I saw this today. It's one of these cases where 528 00:32:03,440 --> 00:32:08,960 Speaker 1: this guy, Gary Racer, eighty three years old, a thief, 529 00:32:09,640 --> 00:32:13,440 Speaker 1: was just doing what we see in so many of 530 00:32:13,480 --> 00:32:18,280 Speaker 1: these different theft cases. He was filling up his cart 531 00:32:18,920 --> 00:32:22,040 Speaker 1: with the you know, with valuable items. He probably had 532 00:32:22,600 --> 00:32:25,520 Speaker 1: I don't know, a thousand dollars worth of stuff, maybe more. 533 00:32:26,560 --> 00:32:29,160 Speaker 1: And this eighty three year old worker at home deep 534 00:32:29,200 --> 00:32:31,560 Speaker 1: he say, he's a grant, he's a dad, he's a grandfather, 535 00:32:33,040 --> 00:32:36,680 Speaker 1: and he got shoved to the ground by this criminal. 536 00:32:37,040 --> 00:32:40,600 Speaker 1: It's all on video and he died from his injuries. 537 00:32:40,720 --> 00:32:42,880 Speaker 1: Because in eighty three year old man, I mean a 538 00:32:42,920 --> 00:32:45,440 Speaker 1: lot of them, it's it's like shoving a small child 539 00:32:45,600 --> 00:32:47,360 Speaker 1: or you know, a baby. If it's somebody who is 540 00:32:47,720 --> 00:32:51,600 Speaker 1: not able to defend themselves, they have much higher incidents 541 00:32:51,640 --> 00:32:54,760 Speaker 1: of extreme injury for any from any kind of a 542 00:32:54,800 --> 00:32:59,720 Speaker 1: blunt force trauma or serious fall. And I hadn't even 543 00:32:59,720 --> 00:33:03,920 Speaker 1: seen this until today. They don't have they have video 544 00:33:03,960 --> 00:33:07,080 Speaker 1: of the guy. They still don't have him in custody. 545 00:33:07,160 --> 00:33:09,480 Speaker 1: They don't have I don't even think they know who 546 00:33:09,480 --> 00:33:12,479 Speaker 1: the suspect is quite yet. But I just think this 547 00:33:12,560 --> 00:33:15,960 Speaker 1: is indicative of what's happening all over the country now 548 00:33:16,480 --> 00:33:19,960 Speaker 1: where it's just supposed, it's been normalized that people can 549 00:33:20,120 --> 00:33:24,320 Speaker 1: steal and even be violent in the process of that theft, 550 00:33:24,720 --> 00:33:28,880 Speaker 1: and there's no urgency in these Democrat run cities to 551 00:33:29,040 --> 00:33:33,800 Speaker 1: do anything about this. What was that? It wasn't cost Code, 552 00:33:33,800 --> 00:33:35,800 Speaker 1: It was another one of the major stores, you know, 553 00:33:35,880 --> 00:33:39,160 Speaker 1: it wasn't Walmart. I forget which one. Kmart's gone right, 554 00:33:39,200 --> 00:33:42,840 Speaker 1: It wasn't Kmart, Target, but Target, thank you. It was Target. 555 00:33:43,360 --> 00:33:48,640 Speaker 1: Four hundred million dollars of theft last year of theft. Well, 556 00:33:48,640 --> 00:33:52,560 Speaker 1: I mean, it's it's like we're it's like we've decriminalized stealing. 557 00:33:53,400 --> 00:33:56,080 Speaker 1: That's what we have. I mean, you saw I'm sure 558 00:33:56,080 --> 00:33:59,400 Speaker 1: the viral video I believe it was from the La area, 559 00:33:59,600 --> 00:34:03,480 Speaker 1: I know, California, of the Apple store being robbed on 560 00:34:03,520 --> 00:34:07,760 Speaker 1: the Friday after Thanksgiving middle broad daylight guys just run in. 561 00:34:07,960 --> 00:34:10,040 Speaker 1: I think they were guys. They had masks on, of course, 562 00:34:10,080 --> 00:34:12,960 Speaker 1: because now you can wear masks with impunity, which we 563 00:34:13,000 --> 00:34:15,160 Speaker 1: talked about for some time was going to potentially be 564 00:34:15,200 --> 00:34:18,759 Speaker 1: a major issue when it came to crime. But they 565 00:34:18,840 --> 00:34:20,960 Speaker 1: had they were grabbing as much as they could of 566 00:34:21,040 --> 00:34:25,160 Speaker 1: the iPhones. They get outside, they're not caught, and this 567 00:34:25,280 --> 00:34:32,200 Speaker 1: is happening everywhere, and the overall response to it is, well, 568 00:34:33,239 --> 00:34:35,440 Speaker 1: some of these left wingers just say, remember when they 569 00:34:35,440 --> 00:34:39,200 Speaker 1: were writing the stories like, hey, really, your possessions aren't 570 00:34:39,200 --> 00:34:41,719 Speaker 1: that important. Other people are entitled to them. When they 571 00:34:41,719 --> 00:34:44,319 Speaker 1: were writing that in San Francisco, as home invasions were 572 00:34:44,320 --> 00:34:47,080 Speaker 1: happening and people were just taking things from outside of 573 00:34:47,080 --> 00:34:51,800 Speaker 1: those homes and carrying them out. This is part and 574 00:34:51,920 --> 00:34:54,719 Speaker 1: parcel of where we've gone with defund the police. And 575 00:34:54,760 --> 00:34:57,279 Speaker 1: I was reading the Wall Street Journal in the last 576 00:34:57,280 --> 00:34:59,480 Speaker 1: couple of days, Buck they had a graphic I think 577 00:34:59,480 --> 00:35:03,400 Speaker 1: I shared it with you of murder in the United States. 578 00:35:03,440 --> 00:35:06,880 Speaker 1: The rates obviously we've skyrocketed in murder, but do you 579 00:35:06,920 --> 00:35:11,960 Speaker 1: know that almost all of the increase is black murders. 580 00:35:12,520 --> 00:35:15,560 Speaker 1: That is, when you look at the rates of murder 581 00:35:16,040 --> 00:35:20,800 Speaker 1: basically for black people. It's back in the nineteen nineties. Again, 582 00:35:21,000 --> 00:35:24,359 Speaker 1: the rates of Hispanic Asian white murder, they haven't really 583 00:35:24,400 --> 00:35:27,440 Speaker 1: budged anywhere near as much. But if you look at 584 00:35:27,480 --> 00:35:31,920 Speaker 1: the graphical data for black people, the rates of murder 585 00:35:31,960 --> 00:35:34,640 Speaker 1: are the same as they were in the early nineties now, 586 00:35:35,280 --> 00:35:39,279 Speaker 1: and as a result, the overall rate of murder in 587 00:35:39,320 --> 00:35:43,160 Speaker 1: this country is skyrocketing. And people it's the third rail. 588 00:35:43,239 --> 00:35:45,200 Speaker 1: They won't touch it on the left side of the 589 00:35:45,200 --> 00:35:50,640 Speaker 1: political equation. But the lasting legacy of the Black Lives 590 00:35:50,680 --> 00:35:54,359 Speaker 1: Matter movement has been that far more Black people are 591 00:35:54,360 --> 00:35:58,319 Speaker 1: being murdered in America than were before BLM started. And 592 00:35:58,400 --> 00:36:02,239 Speaker 1: if you unpack why that has occurred, it's because we 593 00:36:02,360 --> 00:36:06,399 Speaker 1: have created a dynamic where police are the bad guy, 594 00:36:06,880 --> 00:36:12,040 Speaker 1: and the reality is police protect more black lives by 595 00:36:12,120 --> 00:36:16,680 Speaker 1: far than any other aspect of certainly the government in 596 00:36:16,719 --> 00:36:19,920 Speaker 1: the country. And when you tell police they can't do 597 00:36:19,960 --> 00:36:24,640 Speaker 1: their job, the overwhelming victims become black. And that's the 598 00:36:24,719 --> 00:36:28,040 Speaker 1: legacy of BLM. That's the truth. Nobody you'll touch it 599 00:36:28,040 --> 00:36:29,799 Speaker 1: on the left because it's a third rail, and that 600 00:36:29,840 --> 00:36:34,239 Speaker 1: would require analyzing and then you can't say, oh, everybody's 601 00:36:34,239 --> 00:36:36,960 Speaker 1: a victim, But that's what's going on. That's where the 602 00:36:37,040 --> 00:36:41,680 Speaker 1: murder rate skyrocket is happening. It's in the black community. Overwhelmingly, 603 00:36:41,760 --> 00:36:44,560 Speaker 1: you are murdered by someone of your own race. And unfortunately, 604 00:36:44,600 --> 00:36:46,920 Speaker 1: as we've talked about Buck, even with that Idaho connection, 605 00:36:47,800 --> 00:36:52,000 Speaker 1: usually victims of murder know the person who is murdering them. 606 00:36:52,120 --> 00:36:55,520 Speaker 1: It's far scarier the idea of random acts of violence. 607 00:36:55,560 --> 00:36:58,879 Speaker 1: But almost always, if you're going to be killed, it's 608 00:36:58,920 --> 00:37:02,360 Speaker 1: someone that you know, and oftentimes the same race as you, 609 00:37:02,440 --> 00:37:06,480 Speaker 1: almost overwhelmingly with your Black, Asian, White, Hispanic. And this 610 00:37:06,560 --> 00:37:09,759 Speaker 1: idea of a perpetrator who doesn't know anybody is is 611 00:37:09,800 --> 00:37:12,480 Speaker 1: top of mind because it's so fear inducing, but it 612 00:37:12,520 --> 00:37:15,000 Speaker 1: isn't the reality. And it's happening all over the country. 613 00:37:15,239 --> 00:37:17,560 Speaker 1: And you know, there's also been a little bit of 614 00:37:17,560 --> 00:37:21,040 Speaker 1: reporting about about another crime. So just to be clear, 615 00:37:21,120 --> 00:37:23,799 Speaker 1: the the incident with the eighty three year old guy 616 00:37:23,840 --> 00:37:26,200 Speaker 1: shoved to the ground, he died of his injuries from that. 617 00:37:26,239 --> 00:37:29,080 Speaker 1: It was eight hundred dollars of pressure wash. Where was 618 00:37:29,160 --> 00:37:34,080 Speaker 1: this this line to steal? This was in North Carolina, Hillsboro, 619 00:37:34,160 --> 00:37:39,520 Speaker 1: North Carolina, Okay. And then you have Waukeshaw. We all 620 00:37:39,560 --> 00:37:42,360 Speaker 1: remember what happened in show. The media made that story 621 00:37:42,400 --> 00:37:45,840 Speaker 1: disappear very quickly. It did anyone even remember there was 622 00:37:45,840 --> 00:37:48,799 Speaker 1: a mass shooting it? I think? Was it a UVA recently? No, 623 00:37:48,880 --> 00:37:51,120 Speaker 1: I don't think they do. Does anyone remember any of 624 00:37:51,160 --> 00:37:53,480 Speaker 1: the mass shootings that have occurred in the last two weeks? 625 00:37:53,840 --> 00:37:58,120 Speaker 1: They disappeared very quickly. I wonder why that is the last. 626 00:37:58,200 --> 00:38:00,880 Speaker 1: That's such a good point, buck. The last mass shootings 627 00:38:01,320 --> 00:38:06,400 Speaker 1: the one in Colorado, everybody blamed anti transgender activist and 628 00:38:06,440 --> 00:38:08,160 Speaker 1: then as soon as it came out that this guy 629 00:38:08,320 --> 00:38:12,920 Speaker 1: was again I think I remember the LGBTQ plus community himself. 630 00:38:13,120 --> 00:38:16,080 Speaker 1: Story vanished like I haven't even I'm not even kidding. 631 00:38:16,120 --> 00:38:19,799 Speaker 1: I've barely seen a headline about that story since that happened. Unfortunately, 632 00:38:19,800 --> 00:38:24,319 Speaker 1: the UVA shooting was a former football player walk on 633 00:38:24,440 --> 00:38:27,080 Speaker 1: who killed members of his team. And then the shooting 634 00:38:27,280 --> 00:38:30,520 Speaker 1: in Virginia again, right, wasn't the shooting in Virginia at 635 00:38:30,560 --> 00:38:35,040 Speaker 1: the Walmart Chesapeake, Virginia area that's also a former employee, 636 00:38:35,040 --> 00:38:39,360 Speaker 1: but a black guy. Mass shootings, three of them LGBTQ, 637 00:38:39,560 --> 00:38:42,920 Speaker 1: two black guys. Story vanishes as soon as the details 638 00:38:42,960 --> 00:38:45,799 Speaker 1: come out about who is to blame. They're gone, And 639 00:38:45,840 --> 00:38:48,839 Speaker 1: this Waka Shaw case that happened almost exactly a year 640 00:38:48,840 --> 00:38:51,719 Speaker 1: ago at the Christmas parade vanished almost as soon as 641 00:38:51,719 --> 00:38:55,520 Speaker 1: it happened. Mass murder by somebody with a long history 642 00:38:55,719 --> 00:38:59,759 Speaker 1: of anti white hatred online. You don't hear about that 643 00:39:00,080 --> 00:39:03,680 Speaker 1: often to you. Here's how NBC News though, this is 644 00:39:03,680 --> 00:39:06,200 Speaker 1: a story about how oh Waukesh is having It's Chris's 645 00:39:06,200 --> 00:39:08,680 Speaker 1: Parade again. I want you to just hear a part 646 00:39:08,719 --> 00:39:14,080 Speaker 1: of this segment. Play the clip eleven. I think it 647 00:39:14,200 --> 00:39:17,640 Speaker 1: is in Wakashaw, Wisconsin. The town just finished marching and 648 00:39:17,680 --> 00:39:20,399 Speaker 1: its annual Christmas parade. Of course, it was one year 649 00:39:20,440 --> 00:39:23,080 Speaker 1: ago that a man drove a car into that crowd, 650 00:39:23,160 --> 00:39:27,279 Speaker 1: killing six. Tonight, residents returned, celebrating the lives lost and 651 00:39:27,400 --> 00:39:32,000 Speaker 1: the town's determination to keep the tradition going. Tonight, Waukesh's 652 00:39:32,080 --> 00:39:35,520 Speaker 1: Christmas Parade is back, bigger and stronger than ever, the 653 00:39:35,600 --> 00:39:39,240 Speaker 1: community turning up in force one year after tragedy struck 654 00:39:39,440 --> 00:39:42,000 Speaker 1: when a man drove an suv through the parade, killing 655 00:39:42,040 --> 00:39:47,279 Speaker 1: six people and injuring dozens more. A man drove an 656 00:39:47,520 --> 00:39:51,120 Speaker 1: suv through the parade. You hear that, you say do 657 00:39:51,160 --> 00:39:54,799 Speaker 1: we know anything else about the murderer here? Oh wait, 658 00:39:54,840 --> 00:40:03,520 Speaker 1: hold on a second. The words murder, terrorism, crime, hate crime, motive, white, black, 659 00:40:03,800 --> 00:40:06,320 Speaker 1: None of this was a two minute long national NBC 660 00:40:06,440 --> 00:40:09,160 Speaker 1: news segment play. I went over it twice to make 661 00:40:09,200 --> 00:40:13,000 Speaker 1: sure not a single time were the words murder, terrorism, 662 00:40:13,080 --> 00:40:16,200 Speaker 1: hate crime, motive, white or black used in the entire 663 00:40:16,280 --> 00:40:20,799 Speaker 1: two minute national news piece. I wonder why that is. 664 00:40:21,000 --> 00:40:24,080 Speaker 1: I mean, the guy is he's going away for life 665 00:40:24,120 --> 00:40:28,279 Speaker 1: for six murders. Yeah, it's already over. And yet they 666 00:40:28,280 --> 00:40:30,120 Speaker 1: don't even they don't even say he's a murder. They 667 00:40:30,160 --> 00:40:32,799 Speaker 1: make it seem like he got lost because his GPS 668 00:40:32,920 --> 00:40:37,320 Speaker 1: was malfunctioning. These people are grotesque. Well remember the headlines 669 00:40:37,400 --> 00:40:41,200 Speaker 1: for a while just said suv plows through as if 670 00:40:41,200 --> 00:40:43,920 Speaker 1: nobody was driving it. That was the way they tried it. Yes, 671 00:40:44,000 --> 00:40:45,800 Speaker 1: it was like it was like the suv was possessed 672 00:40:45,800 --> 00:40:49,080 Speaker 1: by a spirit. And what I would say is, and 673 00:40:49,200 --> 00:40:51,640 Speaker 1: this is such a good if you're a kid, you know, 674 00:40:51,680 --> 00:40:54,200 Speaker 1: I know, we got young people out there listening. Sometimes. 675 00:40:54,640 --> 00:40:59,239 Speaker 1: I think media criticism is an incredibly valid thing for 676 00:40:59,280 --> 00:41:02,080 Speaker 1: you to be fighting and studying if you were a kid. 677 00:41:02,920 --> 00:41:08,320 Speaker 1: Compare the way that the Buffalo supermarket shooting has been covered. 678 00:41:09,000 --> 00:41:11,759 Speaker 1: Every time you see a story about that one, it's 679 00:41:11,920 --> 00:41:17,080 Speaker 1: white guy targets black the supermarket and black neighborhood tries 680 00:41:17,120 --> 00:41:20,720 Speaker 1: to kill based on race. Compare the way the media 681 00:41:20,840 --> 00:41:24,959 Speaker 1: covered the Buffalo shooting, which is heinous and awful, with 682 00:41:25,360 --> 00:41:29,680 Speaker 1: the Waukesha story. And the point here that is quite 683 00:41:29,680 --> 00:41:36,080 Speaker 1: clear is motive matters when it is an awful white guy, right, 684 00:41:36,480 --> 00:41:42,160 Speaker 1: awful white guy headline everywhere. When it's an awful person 685 00:41:42,360 --> 00:41:47,359 Speaker 1: of another race, the story very often vanishes or it 686 00:41:47,400 --> 00:41:51,200 Speaker 1: becomes a story almost exclusively about the victims. But just 687 00:41:51,280 --> 00:41:53,720 Speaker 1: I mean, it would be such a fascinating study example, 688 00:41:53,960 --> 00:41:56,600 Speaker 1: and there's people out there who would do media criticism. 689 00:41:56,640 --> 00:42:00,200 Speaker 1: I would love to see a real end up the 690 00:42:00,239 --> 00:42:03,200 Speaker 1: analysis of the way the Buffalo shooting has been covered 691 00:42:03,200 --> 00:42:05,160 Speaker 1: compared to the WALKA Shaw And then you can compare 692 00:42:05,200 --> 00:42:08,279 Speaker 1: Buffalo shooting to the just compare the headlines for the 693 00:42:08,400 --> 00:42:11,000 Speaker 1: LG et Q when it looked like a random white guy, 694 00:42:11,040 --> 00:42:12,960 Speaker 1: I mean, right, head done it compared to when it's 695 00:42:12,960 --> 00:42:16,359 Speaker 1: a member of TQ. You don't even have to try hard. 696 00:42:16,360 --> 00:42:18,279 Speaker 1: In New York. In New York City, for example, New 697 00:42:18,360 --> 00:42:21,520 Speaker 1: York one which is like the communist the communist local 698 00:42:21,560 --> 00:42:25,760 Speaker 1: news source they'll run store and any of the honestly 699 00:42:25,800 --> 00:42:30,920 Speaker 1: the non right wing news sources that you could look 700 00:42:30,920 --> 00:42:34,080 Speaker 1: at for New York City will will do the same thing. 701 00:42:34,280 --> 00:42:38,080 Speaker 1: They'll have Oh, there was a suspect this morning in 702 00:42:38,160 --> 00:42:42,240 Speaker 1: an attempted rape of a woman in Prospect Park, Brooklyn. 703 00:42:42,880 --> 00:42:46,200 Speaker 1: The suspect is five foot ten, one hundred and eighty 704 00:42:46,200 --> 00:42:49,920 Speaker 1: pounds wearing a T shirt. And then you'll actually sometimes 705 00:42:49,960 --> 00:42:53,680 Speaker 1: see that there's more detail than that, but they will 706 00:42:53,719 --> 00:42:55,600 Speaker 1: not give it. They won't get the race. In fact, 707 00:42:55,680 --> 00:42:58,960 Speaker 1: sometimes the funniest thing and it's like, you know, not 708 00:42:59,000 --> 00:43:02,440 Speaker 1: really funny, but the oddest thing is when they will 709 00:43:02,520 --> 00:43:05,799 Speaker 1: do that the suspect is five ten, one hundred and 710 00:43:05,840 --> 00:43:09,720 Speaker 1: eighty five pounds wearing a T shirt, but they'll actually 711 00:43:09,719 --> 00:43:11,799 Speaker 1: have a photo of him on the screen because they're 712 00:43:11,800 --> 00:43:16,600 Speaker 1: surveillance camera. But they don't want to say it because 713 00:43:16,680 --> 00:43:20,080 Speaker 1: they think that that's problematic. And you say to yourself, wait, 714 00:43:21,080 --> 00:43:24,640 Speaker 1: we don't make determinating the suspect could be of any background, 715 00:43:24,719 --> 00:43:26,360 Speaker 1: or we just want to know who the suspect is 716 00:43:26,400 --> 00:43:29,920 Speaker 1: so we can find him and keep people safe. Moral 717 00:43:29,960 --> 00:43:32,360 Speaker 1: people don't make judgones about people based upon the individual 718 00:43:32,640 --> 00:43:35,239 Speaker 1: the acts of one individual. So why does the left 719 00:43:35,280 --> 00:43:39,160 Speaker 1: always do this? Well wokeness, their minds are broken. Identity 720 00:43:39,200 --> 00:43:42,280 Speaker 1: politics requires a victim pyramid, and if the wrong people 721 00:43:42,560 --> 00:43:46,600 Speaker 1: are involved in a story, then they just get ignored. 722 00:43:46,719 --> 00:43:49,480 Speaker 1: Story vanishes. It really is amazing once you start to 723 00:43:49,480 --> 00:43:52,560 Speaker 1: see the narrative. There are only a few days left 724 00:43:52,560 --> 00:43:55,759 Speaker 1: to order Tuttle Twins books before the shipping deadline if 725 00:43:55,760 --> 00:43:58,800 Speaker 1: you want to have him before Christmas. Great books for kids, 726 00:43:58,800 --> 00:44:01,920 Speaker 1: but they do so much more, opening up interesting discussion 727 00:44:01,960 --> 00:44:04,440 Speaker 1: about things that really matter for your kids future as 728 00:44:04,480 --> 00:44:07,880 Speaker 1: well as our country. I've got these books at my house. 729 00:44:08,080 --> 00:44:11,120 Speaker 1: My eight year old in particular, is a perfect age 730 00:44:11,160 --> 00:44:13,399 Speaker 1: to be able to enjoy these. I can read them 731 00:44:13,400 --> 00:44:16,080 Speaker 1: with them, You can read it with your nieces and nephews, 732 00:44:16,080 --> 00:44:19,920 Speaker 1: your grandkids, your own kids. We need to make sure 733 00:44:20,120 --> 00:44:24,680 Speaker 1: that kids are experiencing the truth in education. If you 734 00:44:24,719 --> 00:44:26,960 Speaker 1: go to Tuttle Radio dot com right now, you can 735 00:44:26,960 --> 00:44:29,600 Speaker 1: get these life changing books for all the kids in 736 00:44:29,640 --> 00:44:32,520 Speaker 1: your life. Get your order in soon to beat the 737 00:44:32,560 --> 00:44:36,000 Speaker 1: holiday shipping deadlines. Website. Just go check it out for 738 00:44:36,040 --> 00:44:39,200 Speaker 1: yourself right now. You're looking for a good piece of 739 00:44:40,360 --> 00:44:43,279 Speaker 1: the Christmas puzzle to help the kids in your life. 740 00:44:43,280 --> 00:44:46,960 Speaker 1: This is a great present Tuttle radio dot Com. Just 741 00:44:47,000 --> 00:44:49,600 Speaker 1: go check it out for yourself right now. I know 742 00:44:50,000 --> 00:44:52,920 Speaker 1: it's around the holiday season, everybody's scrambling to buy the 743 00:44:53,040 --> 00:44:55,319 Speaker 1: right gifts. Why not check it out. It's right for 744 00:44:55,400 --> 00:44:57,680 Speaker 1: you and your family and the kids in your life. 745 00:44:57,880 --> 00:45:04,120 Speaker 1: Tuttle radio dot Com. Welcome back in Clay Travis buck 746 00:45:04,160 --> 00:45:07,720 Speaker 1: Sexton Show. I appreciate all of you hanging out with us. 747 00:45:09,520 --> 00:45:11,799 Speaker 1: Obviously we're playing Christmas music there in the background. I 748 00:45:11,800 --> 00:45:14,480 Speaker 1: hope all of you are having a good holiday season 749 00:45:14,520 --> 00:45:16,759 Speaker 1: as you get ready for Christmas and the New year. 750 00:45:17,640 --> 00:45:19,799 Speaker 1: No matter where you be across the country. It's also 751 00:45:19,840 --> 00:45:22,600 Speaker 1: a good recommendation to go subscribe to the podcast because 752 00:45:22,719 --> 00:45:24,440 Speaker 1: many of you are going to be traveling. You might 753 00:45:24,520 --> 00:45:27,520 Speaker 1: need to have some sanity in your life, particularly during 754 00:45:27,520 --> 00:45:30,040 Speaker 1: the holidays, which can be stressful. Search out my name, 755 00:45:30,080 --> 00:45:32,719 Speaker 1: Clay Travis, search out buck Sexton Boom. You will be 756 00:45:32,840 --> 00:45:36,200 Speaker 1: good to go there. So Buck, We've talked a lot 757 00:45:36,239 --> 00:45:40,880 Speaker 1: about the twenty twenty election and the New York Post, 758 00:45:40,920 --> 00:45:43,880 Speaker 1: and I would encourage all of you who are just 759 00:45:43,960 --> 00:45:46,360 Speaker 1: tuning in now if you missed the first hour. Miranda 760 00:45:46,440 --> 00:45:50,160 Speaker 1: Divine was great, and the details about the New York 761 00:45:50,160 --> 00:45:53,840 Speaker 1: Post story why it matters, all of that very important. 762 00:45:54,960 --> 00:45:59,359 Speaker 1: Tomorrow we have a runoff election in Georgia, which will 763 00:45:59,360 --> 00:46:02,760 Speaker 1: be the final part of the mid terms. But Buck, 764 00:46:03,280 --> 00:46:06,319 Speaker 1: I believe that there was clearly a rig job in 765 00:46:06,360 --> 00:46:11,200 Speaker 1: the twenty twenty election. The data also reflects that if 766 00:46:11,239 --> 00:46:15,359 Speaker 1: you want to win elections, you cannot spend a lot 767 00:46:15,400 --> 00:46:19,600 Speaker 1: of time focused on the twenty twenty election. You have 768 00:46:19,719 --> 00:46:22,960 Speaker 1: to be looking forward. I understand it's frustrating to many 769 00:46:23,000 --> 00:46:26,640 Speaker 1: people out there, but the people who focused the most 770 00:46:26,800 --> 00:46:32,759 Speaker 1: ardently on twenty twenty almost overwhelmingly ended up losing in 771 00:46:32,800 --> 00:46:36,279 Speaker 1: their elections. The people right, I'm talking about Republicans. The 772 00:46:36,360 --> 00:46:39,719 Speaker 1: Republicans who focused more on the future and less on 773 00:46:39,840 --> 00:46:47,560 Speaker 1: twenty twenty one oftentimes landslides Trump. I'm afraid when I 774 00:46:47,640 --> 00:46:51,839 Speaker 1: read his comments on truth social Buck, I just I 775 00:46:51,920 --> 00:46:55,240 Speaker 1: don't think he's going to be able to leave twenty 776 00:46:55,280 --> 00:47:00,280 Speaker 1: twenty behind. And if he doesn't leave twenty twenty behind, 777 00:47:00,840 --> 00:47:03,960 Speaker 1: I don't think there's any way possible that he's going 778 00:47:04,040 --> 00:47:08,279 Speaker 1: to get elected in twenty twenty four. I understand a 779 00:47:08,320 --> 00:47:10,560 Speaker 1: lot of you out there listening right now, are ardent 780 00:47:10,680 --> 00:47:17,359 Speaker 1: Trump supporters That just because you support someone doesn't mean, 781 00:47:17,400 --> 00:47:20,960 Speaker 1: in my opinion, that you should blindly support everything that 782 00:47:21,080 --> 00:47:24,239 Speaker 1: they do. We've talked on this program. We think Trump 783 00:47:24,320 --> 00:47:27,440 Speaker 1: should have fired Fauci. We think that the initial decision 784 00:47:27,480 --> 00:47:30,400 Speaker 1: to lockdown was wrong. You can think somebody did a 785 00:47:30,400 --> 00:47:33,120 Speaker 1: good job as president and not support every decision that 786 00:47:33,160 --> 00:47:37,000 Speaker 1: they made. And buck As I watched the fallout of 787 00:47:37,040 --> 00:47:41,840 Speaker 1: this Twitter report over the weekend and read Trump's tweets, 788 00:47:41,880 --> 00:47:45,400 Speaker 1: and I say tweets their truth socials, but they're basically tweets. 789 00:47:46,280 --> 00:47:49,080 Speaker 1: I just said to myself, this guy cannot let go 790 00:47:49,360 --> 00:47:53,359 Speaker 1: of twenty twenty. He didn't mention twenty twenty in his announcement, 791 00:47:53,719 --> 00:47:58,160 Speaker 1: but it's clear that that is still completely in his mind. 792 00:47:58,920 --> 00:48:01,040 Speaker 1: And I don't believe he can win in twenty four. 793 00:48:01,120 --> 00:48:02,799 Speaker 1: And I don't even think he can get the nomination 794 00:48:02,880 --> 00:48:05,440 Speaker 1: in twenty four if he's going to focus on twenty 795 00:48:05,480 --> 00:48:09,080 Speaker 1: twenty as much as he has, including just throwing out 796 00:48:09,160 --> 00:48:12,880 Speaker 1: crazy things, right, Like, we can't just suddenly install Donald 797 00:48:12,880 --> 00:48:15,840 Speaker 1: Trump in the presidency, right, I mean, that's not going 798 00:48:15,880 --> 00:48:18,479 Speaker 1: to happen. He would have to win in twenty four. 799 00:48:18,920 --> 00:48:22,480 Speaker 1: What did you think about Trump's reaction to the Twitter story? 800 00:48:22,640 --> 00:48:29,000 Speaker 1: In general, nobody who is persuadable about where their vote 801 00:48:29,040 --> 00:48:32,160 Speaker 1: will go wants to hear about twenty twenty. The data 802 00:48:32,200 --> 00:48:36,000 Speaker 1: on that is rock solid. There's not a single person 803 00:48:36,040 --> 00:48:38,600 Speaker 1: who looks at any of the exit polling, any of 804 00:48:38,600 --> 00:48:43,839 Speaker 1: the current polling, any of the election outcomes. And we'll say, 805 00:48:44,040 --> 00:48:46,320 Speaker 1: you know what, you know what, independence and swing voters 806 00:48:46,320 --> 00:48:50,560 Speaker 1: are really into some of that sweet sweet twenty twenty magic. 807 00:48:50,840 --> 00:48:53,960 Speaker 1: They didn't want to hear it. They didn't want to 808 00:48:53,960 --> 00:48:56,839 Speaker 1: hear it and talk and now people are saying, whoa 809 00:48:56,880 --> 00:49:01,480 Speaker 1: but what? There's no going back in a time machine. Okay, 810 00:49:01,600 --> 00:49:03,799 Speaker 1: Biden is now two years into his presidency. I can 811 00:49:03,800 --> 00:49:06,640 Speaker 1: assure everyone listening and they already know this. He's gonna 812 00:49:06,640 --> 00:49:08,920 Speaker 1: have two more years. Okay, he's gonna finish out his 813 00:49:08,960 --> 00:49:11,960 Speaker 1: first term. There's there's not gonna be any undoing of 814 00:49:12,000 --> 00:49:15,000 Speaker 1: twenty twenty. They cheated, Yeah, okay, they cheat on a 815 00:49:15,080 --> 00:49:18,040 Speaker 1: lot of things. We have to win. Winning is all 816 00:49:18,040 --> 00:49:20,440 Speaker 1: that matters, right, The winning is not what is it? 817 00:49:20,880 --> 00:49:22,840 Speaker 1: You know, there's a good I had a good sports quote. 818 00:49:23,040 --> 00:49:25,600 Speaker 1: It's winning is not a good thing. It's the only 819 00:49:25,640 --> 00:49:28,640 Speaker 1: thing is not my clothes. Yes, I think that's right, Yes, yes, 820 00:49:28,680 --> 00:49:32,040 Speaker 1: And Al Davis famously said, the former owner of the Raiders, 821 00:49:32,040 --> 00:49:35,320 Speaker 1: what I've always said, just win baby. That was his line, 822 00:49:35,440 --> 00:49:37,560 Speaker 1: Just win baby. And that's the what we've got to 823 00:49:37,560 --> 00:49:40,439 Speaker 1: do in twenty four. And you and I both look 824 00:49:40,440 --> 00:49:42,840 Speaker 1: at the data, and the data reflects that if Trump 825 00:49:43,000 --> 00:49:46,160 Speaker 1: cannot stop talking about twenty twenty, he's not gonna win 826 00:49:46,160 --> 00:49:47,600 Speaker 1: in twenty four. And I don't even think he's gonna 827 00:49:47,600 --> 00:49:50,439 Speaker 1: be the nominee. It's not helpful, right if if Clan 828 00:49:50,520 --> 00:49:52,640 Speaker 1: I or let's say Trump is the nominal, let's just 829 00:49:52,640 --> 00:49:54,799 Speaker 1: say he's the nominee for a second. It's very possible. Still, 830 00:49:54,840 --> 00:49:57,360 Speaker 1: he's a nominee. We're gonna be with this show, and 831 00:49:57,440 --> 00:50:00,160 Speaker 1: with all of you backing us trying to run I'm 832 00:50:00,200 --> 00:50:02,000 Speaker 1: really going with the sports thing here today, trying to 833 00:50:02,080 --> 00:50:04,360 Speaker 1: run blocks for them. But if you're running back is 834 00:50:04,400 --> 00:50:08,600 Speaker 1: fumbling the ball. You know, over and over again, that's 835 00:50:08,600 --> 00:50:10,080 Speaker 1: a problem. You have to deal with that when you're 836 00:50:10,080 --> 00:50:11,640 Speaker 1: in the huddle. You got to talk about that and 837 00:50:11,719 --> 00:50:15,040 Speaker 1: twenty twenty as Oh, we're going to fix it. The 838 00:50:15,080 --> 00:50:17,080 Speaker 1: only way to fix it is to win the next one. 839 00:50:17,200 --> 00:50:20,080 Speaker 1: That's it. There's there's no other, and I know that's 840 00:50:20,120 --> 00:50:22,960 Speaker 1: a Look what the Libs did in twenty sixteen, they 841 00:50:22,960 --> 00:50:25,440 Speaker 1: spent four years on Russia collusion. Now, the thing about 842 00:50:25,560 --> 00:50:28,719 Speaker 1: that was that not only did that play to their 843 00:50:29,280 --> 00:50:32,520 Speaker 1: their fantasy that Trump didn't actually win and Hillary did, 844 00:50:33,000 --> 00:50:36,120 Speaker 1: but just going along with that narrative was a weapon 845 00:50:36,400 --> 00:50:40,080 Speaker 1: against the Trump presidency. In real time, we're not doing that. 846 00:50:40,400 --> 00:50:42,719 Speaker 1: The people that are talking about twenty twenty, they're not 847 00:50:42,800 --> 00:50:46,920 Speaker 1: able to use that effectively as a means of opposing 848 00:50:46,920 --> 00:50:49,480 Speaker 1: the Biden administration. If anything, it's actually been shown to 849 00:50:49,520 --> 00:50:53,400 Speaker 1: be a political liability. They get special counsels based on 850 00:50:53,440 --> 00:50:56,000 Speaker 1: their lie. They use the machinery of the lie. They 851 00:50:56,080 --> 00:50:59,040 Speaker 1: use the machinery rather of government based on the lie 852 00:50:59,120 --> 00:51:03,520 Speaker 1: against Trump. So we need a whole rethink on how 853 00:51:03,560 --> 00:51:05,560 Speaker 1: this is going to go down and what I think 854 00:51:05,600 --> 00:51:09,359 Speaker 1: the best strategy will be going forward. Everybody needs to 855 00:51:09,440 --> 00:51:14,200 Speaker 1: be honest with our own team about what works and 856 00:51:14,239 --> 00:51:17,359 Speaker 1: what doesn't. Hear what works for Trump is taking on 857 00:51:17,400 --> 00:51:21,880 Speaker 1: the media, is talking about illegal immigration, is talking about 858 00:51:21,920 --> 00:51:24,600 Speaker 1: a strong economy, is taking on China, is speaking for 859 00:51:24,640 --> 00:51:28,360 Speaker 1: the forgotten men and men and women of America speaking 860 00:51:28,360 --> 00:51:31,280 Speaker 1: for the working class individuals who feel like the elitist 861 00:51:31,280 --> 00:51:34,360 Speaker 1: Democrat Party spits on them because it does. That's what 862 00:51:34,480 --> 00:51:37,439 Speaker 1: works for Trump. All this stuff about how yeah, let's 863 00:51:37,440 --> 00:51:39,759 Speaker 1: just redo the election or make me the that's it's 864 00:51:39,800 --> 00:51:42,000 Speaker 1: just not helpful. And we say this from a place 865 00:51:42,040 --> 00:51:43,919 Speaker 1: of love. I don't know what else to say. We're 866 00:51:44,000 --> 00:51:47,040 Speaker 1: saying it from a place of love. Yeah, and again, 867 00:51:48,400 --> 00:51:52,319 Speaker 1: criticism does not mean you're not going to support somebody. 868 00:51:53,480 --> 00:51:56,239 Speaker 1: You're you're talking about sports and how you sports analogies. 869 00:51:58,120 --> 00:52:02,680 Speaker 1: If you have a code who is down two touchdowns 870 00:52:03,280 --> 00:52:05,880 Speaker 1: and there's four minutes to go and he's running the football, 871 00:52:06,280 --> 00:52:09,040 Speaker 1: the crowd may very well boo. It doesn't mean that 872 00:52:09,080 --> 00:52:12,560 Speaker 1: they don't want the team to win. It's expressly because 873 00:52:12,600 --> 00:52:15,120 Speaker 1: they want the team to win, and because the choices 874 00:52:15,239 --> 00:52:18,839 Speaker 1: being made are not calculated to make the team more 875 00:52:18,880 --> 00:52:24,120 Speaker 1: likely to win. So people are so sensitive. And I 876 00:52:24,680 --> 00:52:26,480 Speaker 1: see this because coming from the world of sports, I've 877 00:52:26,520 --> 00:52:28,400 Speaker 1: done it for a long time. If you say anything 878 00:52:28,440 --> 00:52:31,799 Speaker 1: critical of a team, they're like, oh my goodness, how 879 00:52:31,880 --> 00:52:35,399 Speaker 1: dare you? You know? But the reality is you gotta win, 880 00:52:36,000 --> 00:52:39,000 Speaker 1: and criticism that helps your side be more likely to 881 00:52:39,080 --> 00:52:43,319 Speaker 1: win is not only the best possible use I think 882 00:52:43,320 --> 00:52:47,759 Speaker 1: of this platform. I think it's absolutely integral. So I'll 883 00:52:47,760 --> 00:52:51,840 Speaker 1: say this, and you and I both have many friends 884 00:52:52,160 --> 00:52:55,759 Speaker 1: and had a lot of connectivity with people in the 885 00:52:55,760 --> 00:52:59,040 Speaker 1: Trump lighthouse, people around Trump. We've had them on the show, 886 00:52:59,080 --> 00:53:01,520 Speaker 1: but also Flyne. You know, we've been talking to them 887 00:53:01,520 --> 00:53:04,440 Speaker 1: for years. We know these folks. One of the biggest 888 00:53:04,480 --> 00:53:07,680 Speaker 1: problems Trump had in office was that there was there 889 00:53:07,760 --> 00:53:13,359 Speaker 1: was nobody who was trusted by him, in connection with 890 00:53:13,719 --> 00:53:16,480 Speaker 1: and connected enough to the base to say to mister President, 891 00:53:16,760 --> 00:53:18,960 Speaker 1: this isn't this isn't the way you want to take this, 892 00:53:19,239 --> 00:53:22,080 Speaker 1: take it down this pathway, And anybody who tried to 893 00:53:22,120 --> 00:53:24,600 Speaker 1: recommend that from the outside was shouting down as a 894 00:53:24,719 --> 00:53:27,319 Speaker 1: doubter who didn't want to play four D, who didn't 895 00:53:27,320 --> 00:53:29,200 Speaker 1: know how to play four D chats and everything else. 896 00:53:29,640 --> 00:53:33,759 Speaker 1: Trump has since admitted that his personnel decisions were very 897 00:53:33,840 --> 00:53:36,080 Speaker 1: lacking and a lot of the people. He's admitted that 898 00:53:36,360 --> 00:53:38,680 Speaker 1: a lot of people around him did not serve him well. 899 00:53:39,080 --> 00:53:41,239 Speaker 1: So we just don't want that to be similar. If 900 00:53:41,239 --> 00:53:44,640 Speaker 1: there's going to be obviously a major push here for 901 00:53:44,719 --> 00:53:48,400 Speaker 1: him to be the Republican nominee, and and that's the 902 00:53:48,480 --> 00:53:52,320 Speaker 1: stuff on truth social It's a reminder everybody the twenty 903 00:53:52,320 --> 00:53:55,839 Speaker 1: sixteen playbook doesn't work. The twenty sixteen playbook isn't going 904 00:53:55,880 --> 00:53:58,359 Speaker 1: to get it done this time around the media. He 905 00:53:58,520 --> 00:54:01,800 Speaker 1: caught them all nap. It was like a sneak attack 906 00:54:01,840 --> 00:54:05,160 Speaker 1: in twenty sixteen. They didn't see him coming. They thought 907 00:54:05,200 --> 00:54:08,759 Speaker 1: it was a big joke. Now there, they battened down 908 00:54:08,760 --> 00:54:11,840 Speaker 1: the hat the mension of Trump. It's like the mention 909 00:54:11,880 --> 00:54:14,600 Speaker 1: of Voldemort or something. Right, they all completely or sauron, 910 00:54:14,680 --> 00:54:17,680 Speaker 1: they all freak out. Look. You also mentioned that the 911 00:54:17,760 --> 00:54:21,359 Speaker 1: Democrats argued to twenty sixteen election was illegitimate all the way. 912 00:54:21,719 --> 00:54:25,959 Speaker 1: They would have lost in twenty twenty if COVID hadn't happened, Right, 913 00:54:26,560 --> 00:54:32,640 Speaker 1: I think COVID was like an asteroid that struck I mean, 914 00:54:32,760 --> 00:54:35,680 Speaker 1: and even with the numbers that were out there, Trump 915 00:54:35,760 --> 00:54:39,359 Speaker 1: came within about twenty thousand people out of whatever it 916 00:54:39,480 --> 00:54:42,320 Speaker 1: was how many people voted, one hundred and fifty million 917 00:54:42,440 --> 00:54:47,200 Speaker 1: plus twenty thousand people in Wisconsin, Georgia, and Arizona needed 918 00:54:47,239 --> 00:54:49,960 Speaker 1: to change their mind and Trump would have still won. Okay, 919 00:54:50,000 --> 00:54:52,879 Speaker 1: forty thousand total votes, twenty thousand people changed their mind, 920 00:54:54,560 --> 00:54:58,200 Speaker 1: but that was COVID right. The argument of they cheated 921 00:54:58,239 --> 00:55:01,920 Speaker 1: and therefore we should win doesn't work. I mean, Democrats 922 00:55:01,960 --> 00:55:05,040 Speaker 1: tried it in two thousand after George W. Bush one, 923 00:55:05,200 --> 00:55:08,040 Speaker 1: and then he won a commanding victory in two thousand 924 00:55:08,040 --> 00:55:12,680 Speaker 1: and four. Every campaign is about the future, and if 925 00:55:12,719 --> 00:55:16,520 Speaker 1: you are focused on the past, like Trumpet is right now, 926 00:55:17,040 --> 00:55:20,200 Speaker 1: you're going to lose. And so as much of a 927 00:55:20,280 --> 00:55:22,040 Speaker 1: rig job as there was, and I think all this 928 00:55:22,080 --> 00:55:24,440 Speaker 1: information is super important to come out, and certainly we 929 00:55:24,440 --> 00:55:26,839 Speaker 1: can talk about it, contextualize it, make sure that it 930 00:55:26,880 --> 00:55:29,719 Speaker 1: never happens again, but you can't talk about it as 931 00:55:29,760 --> 00:55:33,360 Speaker 1: the guiding force for your campaign. You and I we 932 00:55:33,760 --> 00:55:36,440 Speaker 1: totally get it. I mean, if I'm Carrie Lake, I'm 933 00:55:36,480 --> 00:55:39,719 Speaker 1: super ticked off about what happened in Arizona with the 934 00:55:39,760 --> 00:55:42,560 Speaker 1: voting machines and everything else. And you do what you can, 935 00:55:42,640 --> 00:55:46,200 Speaker 1: you bring the suits you can, but it's not going 936 00:55:46,239 --> 00:55:48,040 Speaker 1: to change, you know they I mean like if the 937 00:55:48,080 --> 00:55:50,839 Speaker 1: refs were bought off and the game is over, the 938 00:55:50,880 --> 00:55:53,200 Speaker 1: game is over. You got to think about the next game. 939 00:55:53,320 --> 00:55:57,040 Speaker 1: You learn from what happened in the game that you 940 00:55:57,080 --> 00:55:59,080 Speaker 1: think was rigged or they cheated or whatever. It may be, 941 00:55:59,239 --> 00:56:01,400 Speaker 1: and you move on to the next one, because otherwise 942 00:56:01,440 --> 00:56:04,440 Speaker 1: you're ensuring another loss. And I think that's really what 943 00:56:04,520 --> 00:56:06,960 Speaker 1: we're trying to trying to get here. I mean, it's 944 00:56:07,000 --> 00:56:08,319 Speaker 1: so it's amazing to me. You know how they do 945 00:56:08,320 --> 00:56:12,799 Speaker 1: those those media like focus group they'll show you know, oh, 946 00:56:12,880 --> 00:56:15,879 Speaker 1: if someone's talking, you know, negative versus positive sentiment, they'll 947 00:56:15,880 --> 00:56:17,640 Speaker 1: try to show it in real time. Yes, And I 948 00:56:17,719 --> 00:56:20,000 Speaker 1: can tell you when Trump is talking about the issues, 949 00:56:20,480 --> 00:56:24,160 Speaker 1: the sentiment from republic, from voters in general, not including 950 00:56:24,239 --> 00:56:26,040 Speaker 1: Democrats who hate him, but voters in general, it's just 951 00:56:26,080 --> 00:56:27,719 Speaker 1: going up and up and up. When he's taken the 952 00:56:27,719 --> 00:56:29,879 Speaker 1: fight to the other side and doing what he does 953 00:56:29,920 --> 00:56:32,880 Speaker 1: so well. When when the talk is about twenty twenty, 954 00:56:33,000 --> 00:56:35,880 Speaker 1: the sentiment turns negative very quickly because people, you know, 955 00:56:35,920 --> 00:56:38,040 Speaker 1: we're gonna be four years out from that. Now. Look, 956 00:56:38,040 --> 00:56:39,800 Speaker 1: if you disagree with this, let us know. This is 957 00:56:39,920 --> 00:56:42,239 Speaker 1: ongoing conversations called all of you as well. And I 958 00:56:42,280 --> 00:56:45,399 Speaker 1: know it's it's there's some frustrations here, but we gotta 959 00:56:45,400 --> 00:56:47,120 Speaker 1: be happy warriors. We've got to stay in the fight. 960 00:56:47,640 --> 00:56:50,640 Speaker 1: We're talking about Twitter a lot these days, including a 961 00:56:50,719 --> 00:56:55,920 Speaker 1: revelation that five million user accounts. That's right, five million 962 00:56:56,000 --> 00:57:00,200 Speaker 1: user accounts have been exposed in a software vulnerability. 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