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 --> 00:00:08,560 Speaker 1: Sexton Show podcast. To tweet or not to tweet? That 3 00:00:08,720 --> 00:00:12,320 Speaker 1: is the question for well a lot of people, former 4 00:00:12,400 --> 00:00:17,560 Speaker 1: President Trump among them. It was announced on was it Saturday? 5 00:00:17,600 --> 00:00:23,160 Speaker 1: I think it was Saturday that Elon Musk has officially 6 00:00:23,840 --> 00:00:27,880 Speaker 1: invited former President Trump back to Twitter, which just brings 7 00:00:27,880 --> 00:00:30,920 Speaker 1: back great memories for people like Clay me because I 8 00:00:30,920 --> 00:00:33,920 Speaker 1: remember waking up. I think at one point Trump retweeted 9 00:00:33,920 --> 00:00:36,960 Speaker 1: my account five times in a row, which was amazing 10 00:00:37,040 --> 00:00:40,320 Speaker 1: because I saw all these C list actors that I 11 00:00:40,400 --> 00:00:43,559 Speaker 1: kind of vaguely remember from the nineties being like whatever, 12 00:00:43,720 --> 00:00:47,760 Speaker 1: like you know, Buck sexy Man, Like you don't know anything, 13 00:00:47,800 --> 00:00:50,279 Speaker 1: You're an idiot. I was like, wait, why, why all 14 00:00:50,280 --> 00:00:54,160 Speaker 1: of a sudden, is you know, Henchman number three from 15 00:00:54,200 --> 00:00:57,160 Speaker 1: Blood Sport five telling me that I'm a bad person? Oh, 16 00:00:57,160 --> 00:00:59,760 Speaker 1: because Trump retweeted me. So that kind of stuff would happen. 17 00:01:00,320 --> 00:01:03,360 Speaker 1: It was always, and it would happen very early in 18 00:01:03,440 --> 00:01:05,200 Speaker 1: the morning. The first thing you'd be like, who did 19 00:01:05,240 --> 00:01:08,240 Speaker 1: I upset? Who did I anger about? He was Buck? 20 00:01:08,280 --> 00:01:10,520 Speaker 1: I said this for a while. I had early morning 21 00:01:10,520 --> 00:01:13,920 Speaker 1: sports talk radio six to nine am Eastern so I'm 22 00:01:14,040 --> 00:01:15,840 Speaker 1: up at like five to thirty in the morning East 23 00:01:15,880 --> 00:01:18,560 Speaker 1: Coast for thirty in Central time here. You know, when 24 00:01:18,600 --> 00:01:22,400 Speaker 1: you hit your like Twitter feed people you follow, and 25 00:01:22,400 --> 00:01:25,120 Speaker 1: there's like nothing updating, you know, because everybody's gone to 26 00:01:25,160 --> 00:01:27,560 Speaker 1: bed for the most part. It would be like Trump 27 00:01:27,640 --> 00:01:30,039 Speaker 1: was the only person that early in the morning that 28 00:01:30,120 --> 00:01:34,240 Speaker 1: would be posting new things, and and so we oftentimes 29 00:01:34,280 --> 00:01:36,280 Speaker 1: and a lot of times they had sports related connections. 30 00:01:36,319 --> 00:01:38,360 Speaker 1: We were reacting to it. He was setting the agenda. 31 00:01:38,400 --> 00:01:40,520 Speaker 1: He was up so early in the morning before most 32 00:01:40,520 --> 00:01:44,319 Speaker 1: of the media. He made Twitter something that was a 33 00:01:44,520 --> 00:01:49,200 Speaker 1: necessity if you were covering news and politics really globally, 34 00:01:49,200 --> 00:01:51,880 Speaker 1: but certainly in America, you had no choice, yes, but 35 00:01:51,960 --> 00:01:54,360 Speaker 1: to at least have a familiarity with it. Because of 36 00:01:54,640 --> 00:01:57,120 Speaker 1: former President Trump. It was never the case, you know, 37 00:01:57,160 --> 00:01:59,840 Speaker 1: other politicians. You know, Obama was on Twitter, but it 38 00:01:59,880 --> 00:02:06,840 Speaker 1: was always very clear that other politicians use Twitter as 39 00:02:06,920 --> 00:02:12,840 Speaker 1: essentially a big email list for their public pronouncements, essentially 40 00:02:12,840 --> 00:02:17,320 Speaker 1: their press releases in short form via Twitter. With Trump, 41 00:02:17,639 --> 00:02:20,840 Speaker 1: it was like you had attached a little microchip into 42 00:02:20,960 --> 00:02:24,799 Speaker 1: his brain, into his phone, and boom, the American people 43 00:02:25,280 --> 00:02:29,880 Speaker 1: got to have a direct connection to the candidate in 44 00:02:29,880 --> 00:02:33,320 Speaker 1: twenty fifteen, twenty sixteen, and then the president for four years, 45 00:02:33,600 --> 00:02:37,920 Speaker 1: which was remarkable. But so there are huge implications to 46 00:02:38,000 --> 00:02:41,280 Speaker 1: this and a lot of variables at play. For one thing, 47 00:02:41,720 --> 00:02:44,000 Speaker 1: we know that Trump has truth social I'm on Truth 48 00:02:44,040 --> 00:02:48,560 Speaker 1: plays on Truth, which is a nascent social media platform, 49 00:02:48,600 --> 00:02:52,200 Speaker 1: so it's growing. We've had Devin Nunas on before, who's 50 00:02:52,200 --> 00:02:56,639 Speaker 1: the CEO. But the whole point of truth really seemed one. 51 00:02:56,720 --> 00:02:58,720 Speaker 1: It's free speech. Yes, that's true. And there are these 52 00:02:58,720 --> 00:03:00,840 Speaker 1: others as well. There's parlor, and there's get or there 53 00:03:00,880 --> 00:03:04,240 Speaker 1: are a number of them. The problem is there's probably 54 00:03:04,240 --> 00:03:06,440 Speaker 1: only going to end up being one, and everyone knows 55 00:03:06,600 --> 00:03:08,400 Speaker 1: alt when I say only being one. There may be 56 00:03:08,520 --> 00:03:11,519 Speaker 1: some need for those others in some capacity, but there's 57 00:03:11,560 --> 00:03:15,480 Speaker 1: gonna be one dominant platform and then some other platforms 58 00:03:15,480 --> 00:03:20,280 Speaker 1: that are more niche Friday, CBS News. This was hilarious. 59 00:03:20,280 --> 00:03:23,280 Speaker 1: Did you see this, Clay. They did give a sense 60 00:03:23,280 --> 00:03:26,079 Speaker 1: of how powerful the Twitter platform already is right now 61 00:03:26,280 --> 00:03:29,320 Speaker 1: in this business and in politics in America. They said 62 00:03:29,919 --> 00:03:33,560 Speaker 1: they were halting their posting on Twitter out of caution 63 00:03:33,639 --> 00:03:35,920 Speaker 1: because Elon Musk runs it now. Play clip two in 64 00:03:36,040 --> 00:03:38,200 Speaker 1: light of the uncertainty around Twitter, and out of an 65 00:03:38,200 --> 00:03:42,000 Speaker 1: abundance of caution, CBS News is pausing its activity on 66 00:03:42,040 --> 00:03:46,400 Speaker 1: the social media site as it continues to monitor the platform, 67 00:03:46,440 --> 00:03:50,080 Speaker 1: pausing so they can monitor the platform. Good to heavens, 68 00:03:50,400 --> 00:03:55,640 Speaker 1: we've gotten word that the Trump is back. Who else? 69 00:03:55,680 --> 00:03:59,320 Speaker 1: A bunch of people have gotten their Platt project veritass 70 00:03:59,560 --> 00:04:02,520 Speaker 1: the babble on BP is back. A number of them 71 00:04:02,520 --> 00:04:05,480 Speaker 1: are back now. And now this also comes at a 72 00:04:05,520 --> 00:04:09,080 Speaker 1: really interesting time for the social media platforms. And understand 73 00:04:09,720 --> 00:04:13,280 Speaker 1: that these this has been an area of enormous advantage 74 00:04:13,800 --> 00:04:16,880 Speaker 1: for Democrats that I think has very much affected elections. 75 00:04:16,880 --> 00:04:18,280 Speaker 1: So that's a part of this as well. So even 76 00:04:18,320 --> 00:04:20,240 Speaker 1: if you're not all because I know very few of 77 00:04:20,279 --> 00:04:22,719 Speaker 1: our people listening right now are really active on Twitter. 78 00:04:22,760 --> 00:04:26,480 Speaker 1: I mean by percentages, maybe five percent of this audience roughly, 79 00:04:26,520 --> 00:04:29,400 Speaker 1: I'm guessing, but something like that. But it affects every 80 00:04:29,480 --> 00:04:33,520 Speaker 1: every website you read, every newspaper, every politician, they're all 81 00:04:34,320 --> 00:04:38,760 Speaker 1: battling and and you know, tweeting on a regular basis. 82 00:04:39,520 --> 00:04:43,000 Speaker 1: Facebook is a fraction of what it used to be 83 00:04:43,040 --> 00:04:45,480 Speaker 1: in terms of engagement utility, and this is why the 84 00:04:45,520 --> 00:04:48,400 Speaker 1: stop was stocked down eighty percent or something. Yea, spacebook's 85 00:04:48,400 --> 00:04:50,560 Speaker 1: gotten crushed. Yeah, some of it's for the metaverse stuff, 86 00:04:50,600 --> 00:04:54,680 Speaker 1: but it's just become unwieldy. YouTube is a left wing 87 00:04:54,760 --> 00:04:57,400 Speaker 1: collective that will not allow for free speech. It's owned 88 00:04:57,440 --> 00:05:00,479 Speaker 1: by Google, which is owned by Alphabet Take talk. I 89 00:05:00,520 --> 00:05:02,800 Speaker 1: just saw Senator Tom Cotton say over the weekend like 90 00:05:02,920 --> 00:05:05,800 Speaker 1: it's basically a Chinese spying operation. Get everybody you know 91 00:05:05,839 --> 00:05:07,760 Speaker 1: off of TikTok. I want to dig into that a 92 00:05:07,760 --> 00:05:10,039 Speaker 1: little more. That seems I don't know, I want to 93 00:05:10,040 --> 00:05:13,320 Speaker 1: know more of the details. But this may be the 94 00:05:13,480 --> 00:05:18,400 Speaker 1: only major social media platform it existence Clay where there 95 00:05:18,520 --> 00:05:21,600 Speaker 1: is a true, free and fair exchange of ideas going on, 96 00:05:21,640 --> 00:05:26,880 Speaker 1: which makes it even more valuable and more central. What 97 00:05:26,960 --> 00:05:31,440 Speaker 1: Elon Musk is doing right now is showing true gravery, 98 00:05:31,600 --> 00:05:34,400 Speaker 1: because first of all, he put up a poll to 99 00:05:34,560 --> 00:05:38,400 Speaker 1: allow people to vote on whether Trump should be reallowed 100 00:05:38,440 --> 00:05:41,240 Speaker 1: back on the platform, and I don't fifteen million people 101 00:05:41,520 --> 00:05:44,520 Speaker 1: ish voted in that poll, if I remember it correctly, 102 00:05:45,040 --> 00:05:48,600 Speaker 1: and fifty two percent voted yes, forty eight percent voted no. 103 00:05:49,120 --> 00:05:52,039 Speaker 1: And what I think is significant about that voting buck 104 00:05:52,680 --> 00:05:57,400 Speaker 1: is remember forty eight percent of people were not saying no, 105 00:05:58,720 --> 00:06:02,440 Speaker 1: I don't want Donald Trump back on Twitter, or I 106 00:06:02,480 --> 00:06:04,920 Speaker 1: don't sorry, I don't want him back as president or something. 107 00:06:04,920 --> 00:06:08,040 Speaker 1: They were saying Donald Trump shouldn't be allowed to share 108 00:06:08,160 --> 00:06:11,440 Speaker 1: his opinions on Twitter. And this is just something that 109 00:06:11,520 --> 00:06:14,080 Speaker 1: I fundamentally reject, and I think it's so important for 110 00:06:14,200 --> 00:06:17,240 Speaker 1: Elon Must to be standing on the principle of free 111 00:06:17,240 --> 00:06:21,240 Speaker 1: speech here. I'm not sure that Trump being back on Twitter, 112 00:06:21,360 --> 00:06:24,680 Speaker 1: if he decides to reclaim his account, is going to 113 00:06:24,720 --> 00:06:27,120 Speaker 1: be beneficial to him at all. In fact, I think 114 00:06:27,120 --> 00:06:30,839 Speaker 1: it might benefit Democrats, but it is beneficial. Can I 115 00:06:30,880 --> 00:06:32,600 Speaker 1: just wait? Can can we put a pause in what 116 00:06:32,720 --> 00:06:36,200 Speaker 1: is beneficial? Just because they're actually some of them, some 117 00:06:36,240 --> 00:06:38,359 Speaker 1: of them are saying, Who's I don't know who Rachel 118 00:06:38,400 --> 00:06:40,760 Speaker 1: Bade is. Do you know Rachel Bade? I don't know that, 119 00:06:41,160 --> 00:06:44,360 Speaker 1: says Trump back on Twitter. This is clip three gift 120 00:06:44,400 --> 00:06:47,520 Speaker 1: for Democrats. Eighty three. I mean it keeps changing. A 121 00:06:47,640 --> 00:06:51,760 Speaker 1: million followers that have been restored on Twitter, on trus social, 122 00:06:51,800 --> 00:06:55,360 Speaker 1: which is his own, and he owns the platform. He's 123 00:06:55,400 --> 00:06:58,240 Speaker 1: got a fraction of that, I mean, truths or whatever 124 00:06:58,279 --> 00:07:00,880 Speaker 1: they call it, and nobody hears it. That's exactly why 125 00:07:01,160 --> 00:07:03,119 Speaker 1: I think a lot of people expect him back on Twitter. 126 00:07:03,160 --> 00:07:05,479 Speaker 1: He loves the attention, right, and talk about a gift 127 00:07:05,520 --> 00:07:09,200 Speaker 1: to Democrats. I mean, I remember covering Paul Ryan when 128 00:07:09,200 --> 00:07:11,240 Speaker 1: Trump would tweet all the time from the White House 129 00:07:11,280 --> 00:07:13,200 Speaker 1: and we would chase Paul Ryan around the halls and 130 00:07:13,320 --> 00:07:16,880 Speaker 1: US Republicans comment on this controversial comment that Trump just made, 131 00:07:16,880 --> 00:07:18,720 Speaker 1: and they would spend all their days trying to dodge 132 00:07:18,720 --> 00:07:21,760 Speaker 1: all these questions. But for Democrats it's great. They can 133 00:07:21,880 --> 00:07:23,800 Speaker 1: pull that up to their voters and say, look at 134 00:07:23,800 --> 00:07:26,280 Speaker 1: the Republican Party, we are the adults at the table. 135 00:07:27,000 --> 00:07:30,040 Speaker 1: So they're saying they want him on Twitter. Yeah, which 136 00:07:30,080 --> 00:07:33,040 Speaker 1: is why I think it's so fascinating. As a general principle, 137 00:07:33,880 --> 00:07:38,880 Speaker 1: I think as a as a country that decides who 138 00:07:38,920 --> 00:07:42,640 Speaker 1: our leaders are, we should want the leaders to speak 139 00:07:42,720 --> 00:07:46,440 Speaker 1: as widely as they can, to share with us both 140 00:07:46,440 --> 00:07:49,640 Speaker 1: their personality and the principles on which they would stand. 141 00:07:50,040 --> 00:07:53,400 Speaker 1: So the idea that you can take, even when he's 142 00:07:53,440 --> 00:07:56,480 Speaker 1: the democratically elected president of the United States and just 143 00:07:56,560 --> 00:07:59,600 Speaker 1: ban him on Twitter is something that I reject out 144 00:07:59,600 --> 00:08:01,200 Speaker 1: of hand. And I would say the same thing, which 145 00:08:01,200 --> 00:08:04,840 Speaker 1: most Democrats would not even if Trump had been a Democrat, 146 00:08:04,960 --> 00:08:07,880 Speaker 1: or even if the Democrats somewhere down the line end 147 00:08:08,000 --> 00:08:11,480 Speaker 1: up with a candidate who uses Twitter in a manner 148 00:08:11,560 --> 00:08:13,840 Speaker 1: similar to Trump, and that would not stun me, by 149 00:08:13,880 --> 00:08:15,800 Speaker 1: the way, if that ended up happening at some point 150 00:08:15,800 --> 00:08:18,240 Speaker 1: in the future, I just don't know. I kind of 151 00:08:18,240 --> 00:08:22,240 Speaker 1: agree with that commentator, buck I think Trump been Here's 152 00:08:22,280 --> 00:08:25,640 Speaker 1: my big concern about Trump in twenty twenty four. The 153 00:08:25,800 --> 00:08:32,320 Speaker 1: election must be a referendum on Joe Biden's failures, particularly 154 00:08:32,320 --> 00:08:34,760 Speaker 1: if Joe Biden is the candidate himself, but even if 155 00:08:34,800 --> 00:08:37,880 Speaker 1: he is not, Democrats had control of the government and 156 00:08:37,960 --> 00:08:41,439 Speaker 1: they failed on basically all fronts. I mean, Trump doesn't 157 00:08:41,480 --> 00:08:47,440 Speaker 1: allow himself to be anything other than the story. And 158 00:08:47,480 --> 00:08:51,640 Speaker 1: so I think if Trump wins, Bucket will be just 159 00:08:51,679 --> 00:08:54,160 Speaker 1: like what we saw in twenty sixteen, and just like 160 00:08:54,320 --> 00:08:56,840 Speaker 1: we saw in twenty twenty, all of us will be 161 00:08:56,960 --> 00:08:59,839 Speaker 1: up all night long and they'll be counting ballots on 162 00:09:00,120 --> 00:09:03,040 Speaker 1: fortunately in Nevada and Arizona and Georgia and everywhere else, 163 00:09:03,520 --> 00:09:05,920 Speaker 1: and we won't know who won this election till we 164 00:09:05,960 --> 00:09:08,600 Speaker 1: find out how one hundred thousand people's decisions. I think. 165 00:09:08,960 --> 00:09:11,839 Speaker 1: I think if this turns on Biden's failures. We lose 166 00:09:12,360 --> 00:09:16,200 Speaker 1: full stop. If we went through this, they stink at everything, Clay, 167 00:09:16,240 --> 00:09:19,760 Speaker 1: the economy stinks, inflation highest and forty years, gas prices, high, crime, 168 00:09:19,760 --> 00:09:22,679 Speaker 1: out of control, wide open border, teaching kids who are 169 00:09:22,720 --> 00:09:25,040 Speaker 1: ten that they should, you know, cut off their private 170 00:09:25,080 --> 00:09:27,960 Speaker 1: parts because of the trans agenda agenda, Like, we went 171 00:09:27,960 --> 00:09:30,200 Speaker 1: through all of this, and what did people they went 172 00:09:30,240 --> 00:09:33,200 Speaker 1: in they said, oh, I don't know, this Republican candidate 173 00:09:33,280 --> 00:09:36,400 Speaker 1: seems a little extreme to me, so I'm gonna vote. 174 00:09:36,400 --> 00:09:38,520 Speaker 1: You know, we went through this. I think the only 175 00:09:38,520 --> 00:09:41,760 Speaker 1: way that the failure of the Democrats thing works if 176 00:09:41,760 --> 00:09:46,600 Speaker 1: we go into a brutal recession starting in the middle 177 00:09:46,640 --> 00:09:49,200 Speaker 1: of next year. Some people say, we're already basically in 178 00:09:49,200 --> 00:09:51,719 Speaker 1: the early phases of that recession. We go into a 179 00:09:51,760 --> 00:09:54,400 Speaker 1: brutal recession, then the party in power gets punished and 180 00:09:54,440 --> 00:09:56,800 Speaker 1: it doesn't even really matter. But if it's kind of 181 00:09:56,800 --> 00:10:00,720 Speaker 1: this status quo, yeah, or four one case down twenty 182 00:10:00,760 --> 00:10:04,079 Speaker 1: thirty percent, Yeah, inflations, you know, four or five percent, 183 00:10:04,120 --> 00:10:05,599 Speaker 1: they wanted to be one or two per You know, 184 00:10:05,840 --> 00:10:08,920 Speaker 1: if it's that, it's gotta be a vision man, right, 185 00:10:08,960 --> 00:10:11,160 Speaker 1: Like it's gotta be We're gonna do a better job 186 00:10:11,200 --> 00:10:14,079 Speaker 1: on the fire points. But what I'm saying is you 187 00:10:14,160 --> 00:10:17,360 Speaker 1: sell they've failed, and here's what we're gonna do different. 188 00:10:17,840 --> 00:10:20,960 Speaker 1: I don't think Trump does that, And I would just 189 00:10:21,040 --> 00:10:24,840 Speaker 1: point out, even though we're super disappointed, we went from 190 00:10:24,880 --> 00:10:28,680 Speaker 1: the tally in twenty twenty showing Biden winning by seven 191 00:10:28,720 --> 00:10:33,000 Speaker 1: million votes to the tally on the midterms showing that 192 00:10:33,040 --> 00:10:36,040 Speaker 1: we won by around four million votes is the number 193 00:10:36,080 --> 00:10:39,760 Speaker 1: that I've seen most recently nationwide. Right, So that's an 194 00:10:39,760 --> 00:10:45,000 Speaker 1: eleven million vote swing in the direction of Republicans. Now 195 00:10:45,320 --> 00:10:50,920 Speaker 1: what's frustrating is it didn't translate to a landslide, red 196 00:10:50,920 --> 00:10:53,960 Speaker 1: wave tsunami. But I think for most people out there, 197 00:10:54,120 --> 00:10:56,960 Speaker 1: if you had told them the data was, hey, we're 198 00:10:56,960 --> 00:10:59,920 Speaker 1: gonna get four million more votes. I think the challenge, 199 00:11:00,000 --> 00:11:02,600 Speaker 1: one of the big challenges in twenty twenty four is 200 00:11:02,679 --> 00:11:06,320 Speaker 1: going to be COVID made red redder and blue bluer. 201 00:11:06,679 --> 00:11:10,080 Speaker 1: So the number of places that are actually willing to shift, 202 00:11:10,520 --> 00:11:13,400 Speaker 1: like Florida is in the Camp four Republicans right like 203 00:11:13,480 --> 00:11:16,120 Speaker 1: and Republicans are gonna win it by maybe six seven 204 00:11:16,160 --> 00:11:19,200 Speaker 1: eight points. It's not gonna be remotely close. You know, 205 00:11:19,240 --> 00:11:22,000 Speaker 1: Texas is in the Republican camp right right, This election 206 00:11:22,080 --> 00:11:23,719 Speaker 1: is going to come down to six states. We can 207 00:11:23,760 --> 00:11:30,440 Speaker 1: already tell you Pennsylvania, Michigan, Wisconsin, Nevada, Arizona, and Georgia. 208 00:11:30,600 --> 00:11:33,200 Speaker 1: Those six states, I think are the only ones that 209 00:11:33,240 --> 00:11:35,480 Speaker 1: are actually in play. Maybe you can toss in New 210 00:11:35,480 --> 00:11:38,920 Speaker 1: Hampshire if you have the right candidate, maybe you made 211 00:11:38,920 --> 00:11:41,720 Speaker 1: a seventh state in play up there. But by and large, 212 00:11:41,760 --> 00:11:45,280 Speaker 1: this is a seventh state election. Who's the candidate that 213 00:11:45,320 --> 00:11:49,200 Speaker 1: can win in four out of those seven states? I 214 00:11:49,200 --> 00:11:51,760 Speaker 1: think that's a question Republicans have to ask themselves. And 215 00:11:51,800 --> 00:11:53,920 Speaker 1: as we all know, I mean, two months feels like 216 00:11:53,920 --> 00:11:56,800 Speaker 1: an eternity in a political election cycle. So two years, 217 00:11:57,080 --> 00:11:58,800 Speaker 1: who knows, who knows what's gonna happen? I mean a lot. 218 00:11:58,880 --> 00:12:00,440 Speaker 1: That's the other problem, A lot of words talking about 219 00:12:00,640 --> 00:12:03,640 Speaker 1: you say, for example, my whole premise about about Biden 220 00:12:03,720 --> 00:12:07,240 Speaker 1: running again is based on, you know, he's healthy enough, 221 00:12:07,559 --> 00:12:09,640 Speaker 1: meaning that you can kind of walk around and shuffle 222 00:12:09,679 --> 00:12:11,600 Speaker 1: and do it. If if he can do what he 223 00:12:11,640 --> 00:12:14,679 Speaker 1: currently does, he's running and he's going to be formidable 224 00:12:14,920 --> 00:12:17,360 Speaker 1: because of the way that Democrats have built a system. 225 00:12:17,640 --> 00:12:19,240 Speaker 1: But of course he's at an age where you know, 226 00:12:19,280 --> 00:12:21,280 Speaker 1: God forbid. But he's an age where real stuff, real 227 00:12:21,280 --> 00:12:23,920 Speaker 1: stuff happens. By the way, Trump also is at an 228 00:12:23,960 --> 00:12:27,480 Speaker 1: age where his health. You know, look, I saw him Friday. 229 00:12:27,880 --> 00:12:32,760 Speaker 1: He's robust, he's fired up, he's read right, He's a 230 00:12:32,840 --> 00:12:34,920 Speaker 1: much better shaped than Biden. But I'm just saying, you know, look, 231 00:12:35,000 --> 00:12:36,960 Speaker 1: we're talking about a few years, a couple of years 232 00:12:36,960 --> 00:12:39,880 Speaker 1: out here, and and a lot can change. And I 233 00:12:39,960 --> 00:12:42,080 Speaker 1: just think that, you know, one of the great one 234 00:12:42,120 --> 00:12:45,079 Speaker 1: of the huge advantages the Democrats had is that the economy. 235 00:12:45,559 --> 00:12:48,719 Speaker 1: Everyone I talked to says, who knows the economy? Right? 236 00:12:48,720 --> 00:12:50,480 Speaker 1: I dinner with a dinner with a friend last night 237 00:12:50,480 --> 00:12:53,600 Speaker 1: down here in Miami, who knows macroeconomic cycles and has 238 00:12:53,640 --> 00:12:56,520 Speaker 1: made a lot of money because he predicts them correctly. 239 00:12:56,800 --> 00:12:59,360 Speaker 1: And he's like, next year is going to be brutal 240 00:12:59,480 --> 00:13:04,040 Speaker 1: economic Yes, Now, if that had happened in summer fall 241 00:13:04,120 --> 00:13:06,040 Speaker 1: of twenty twenty two hundred different. So I just think 242 00:13:06,040 --> 00:13:09,200 Speaker 1: there's all these you know, external externalities or these additional 243 00:13:09,200 --> 00:13:12,080 Speaker 1: factors that will come into it. Twitter, though, to get 244 00:13:12,160 --> 00:13:15,280 Speaker 1: us back to the very beginnings of this, it's tough 245 00:13:15,320 --> 00:13:19,280 Speaker 1: to know whether Twitter, whether Trump on Twitter overall helps 246 00:13:19,400 --> 00:13:22,839 Speaker 1: him helps the Republicans or helps the Democrats more on 247 00:13:22,880 --> 00:13:25,839 Speaker 1: a net basis, because it's a lot, a lot of 248 00:13:26,360 --> 00:13:27,960 Speaker 1: a lot of ups and downs of it, right, I mean, 249 00:13:28,440 --> 00:13:31,959 Speaker 1: when they're gleeful, when Democrats are gleeful about the prospect 250 00:13:32,320 --> 00:13:35,679 Speaker 1: of constantly talking about Trump's tweets, that should be some 251 00:13:35,800 --> 00:13:39,719 Speaker 1: kind of a sign. But by the same token, without that, 252 00:13:40,480 --> 00:13:42,040 Speaker 1: they're able to set the net. This is the part 253 00:13:42,080 --> 00:13:43,679 Speaker 1: that I think we forget. Without that, they were able 254 00:13:43,679 --> 00:13:45,440 Speaker 1: to set the narrative a lot more going into this 255 00:13:45,480 --> 00:13:49,800 Speaker 1: election because they just have so many more artillery pieces, 256 00:13:49,840 --> 00:13:52,559 Speaker 1: so to speak, on the battlefield of information warfare than 257 00:13:52,600 --> 00:13:54,760 Speaker 1: we do. So that you know, it's it's tough to 258 00:13:55,800 --> 00:13:57,840 Speaker 1: tough to gauge this. I think in a lot of ways. 259 00:13:57,880 --> 00:14:00,360 Speaker 1: I think it's it's going to be interesting. Let you 260 00:14:00,440 --> 00:14:03,160 Speaker 1: think he goes on now, well, since you like predictions, 261 00:14:04,040 --> 00:14:06,360 Speaker 1: I just think it's hard for him not to. I 262 00:14:06,400 --> 00:14:08,120 Speaker 1: think so too, right, if I think there's no way 263 00:14:08,160 --> 00:14:11,160 Speaker 1: he can avoid it. If you like attention and you 264 00:14:11,240 --> 00:14:14,760 Speaker 1: knew that eighty five million people are going to react 265 00:14:14,800 --> 00:14:17,920 Speaker 1: to every single word that you put out there, I 266 00:14:18,040 --> 00:14:20,600 Speaker 1: just I think it's hard for him not The Evon 267 00:14:20,680 --> 00:14:23,840 Speaker 1: must put up a couple of funny memes of Trump 268 00:14:23,920 --> 00:14:28,280 Speaker 1: like trying to resist resist Twitter, and I just think 269 00:14:28,320 --> 00:14:30,880 Speaker 1: it's so And I saw even Donald Trump Junior retweeted 270 00:14:30,920 --> 00:14:33,080 Speaker 1: one of them. I just think it's so tantalizing to 271 00:14:33,200 --> 00:14:35,560 Speaker 1: him that ultimately he won't be able to ask. I saw. 272 00:14:35,640 --> 00:14:37,680 Speaker 1: I saw Don Junior Friday as well, talking him for 273 00:14:37,720 --> 00:14:40,720 Speaker 1: a while, not even the least bit phased. I mean, 274 00:14:40,760 --> 00:14:43,200 Speaker 1: this is once, once you've been in that in that role, 275 00:14:43,280 --> 00:14:45,000 Speaker 1: once you've been a member of the Trump family for 276 00:14:45,040 --> 00:14:47,440 Speaker 1: the first administration, you're ready for the fight whatever. The 277 00:14:47,440 --> 00:14:50,160 Speaker 1: fight is pretty amazing that there's no doubt. There's no doubt. 278 00:14:50,280 --> 00:14:52,000 Speaker 1: I want to tell you about the chairs that Bucket 279 00:14:52,040 --> 00:14:55,640 Speaker 1: myself often are sitting in in our home offices as 280 00:14:55,680 --> 00:14:58,440 Speaker 1: we are working preparing for the show. It's the X chair. 281 00:14:58,960 --> 00:15:01,760 Speaker 1: It's the best possible chair out there. It's the chair 282 00:15:01,800 --> 00:15:05,800 Speaker 1: that I sit in while I do my writing, while 283 00:15:05,840 --> 00:15:08,360 Speaker 1: I'm writing on this new book, all written from the 284 00:15:08,480 --> 00:15:10,960 Speaker 1: X chair. You know, it's got heating, it's got cooling, 285 00:15:11,280 --> 00:15:14,360 Speaker 1: it's got massaging. How much better would your life be 286 00:15:14,440 --> 00:15:17,560 Speaker 1: if you felt better at the end of the day 287 00:15:17,600 --> 00:15:19,560 Speaker 1: when you stood up at your desk, when you stood 288 00:15:19,600 --> 00:15:21,600 Speaker 1: up at the chair that you've been working in then 289 00:15:21,760 --> 00:15:23,880 Speaker 1: you did when you sat down in the first place. 290 00:15:24,120 --> 00:15:26,120 Speaker 1: That's the goal with the X chair and right now 291 00:15:26,400 --> 00:15:28,520 Speaker 1: you can get one for only twenty dollars a month. 292 00:15:28,560 --> 00:15:31,640 Speaker 1: You know, Black Friday is coming up on Friday. There's 293 00:15:31,680 --> 00:15:34,440 Speaker 1: probably a lot of people in your family it's not 294 00:15:34,480 --> 00:15:37,080 Speaker 1: that easy to shop for. Well, how about going out 295 00:15:37,120 --> 00:15:39,560 Speaker 1: and getting them a chair they'd be able to use 296 00:15:39,640 --> 00:15:41,960 Speaker 1: every single day. You can check out all the options 297 00:15:42,000 --> 00:15:46,360 Speaker 1: and they're amazing financing plans at X chairclay dot com. 298 00:15:46,400 --> 00:15:50,480 Speaker 1: That's the letter X chair Clay, my name Clay dot com. 299 00:15:50,640 --> 00:15:53,880 Speaker 1: No other chair can compare to X chair. Go to 300 00:15:54,160 --> 00:15:58,000 Speaker 1: X Chairclay dot com one more time. X chairclay dot 301 00:15:58,000 --> 00:16:04,440 Speaker 1: Com Today, easy to find, easy to define. Clay, Travis 302 00:16:04,440 --> 00:16:08,280 Speaker 1: and Buck Sexton speaking the truth three hours every day. 303 00:16:16,360 --> 00:16:19,560 Speaker 1: Welcome back to play Travis at Buck Sexton Show. You 304 00:16:19,720 --> 00:16:22,880 Speaker 1: have a likely seen if you've been following some of 305 00:16:22,920 --> 00:16:26,680 Speaker 1: the news from of the weekend, the story of this 306 00:16:27,320 --> 00:16:34,840 Speaker 1: horrific shooting in Colorado Springs at a nightclub and LGPTQ nightclub. 307 00:16:36,160 --> 00:16:42,160 Speaker 1: I believe five people were killed and immediately and this 308 00:16:42,240 --> 00:16:45,360 Speaker 1: is just what we see now in these incidents, instead 309 00:16:45,400 --> 00:16:50,760 Speaker 1: of even allowing for a day of just grieving as 310 00:16:50,800 --> 00:16:56,240 Speaker 1: a nation for a horrific, violent event like this, and 311 00:16:57,080 --> 00:17:01,280 Speaker 1: a serious look at anything that could be done from 312 00:17:01,280 --> 00:17:06,440 Speaker 1: a security perspective, How could these things be likely averted 313 00:17:06,560 --> 00:17:09,719 Speaker 1: or minimize in the future, What is possible to do? 314 00:17:09,800 --> 00:17:15,240 Speaker 1: And sometimes those conversations can be very unsatisfying, in the 315 00:17:15,320 --> 00:17:18,000 Speaker 1: sense that there is evil in this world, then there 316 00:17:18,000 --> 00:17:20,560 Speaker 1: will be people who choose to do evil, regardless of 317 00:17:20,600 --> 00:17:24,000 Speaker 1: what the laws may be, regardless of what law enforcement 318 00:17:24,000 --> 00:17:28,359 Speaker 1: programs are in place. Sometimes there's an idea to address it, 319 00:17:28,400 --> 00:17:31,840 Speaker 1: and sometimes there is. There is not much that comes 320 00:17:31,880 --> 00:17:35,560 Speaker 1: from it, but instead it immediately it immediately turns into 321 00:17:36,400 --> 00:17:41,680 Speaker 1: a point scoring political exercise for many pundits, for many 322 00:17:41,680 --> 00:17:45,360 Speaker 1: people in the news, and it's gross. And the way 323 00:17:45,400 --> 00:17:50,679 Speaker 1: that they do this now is something called stochastic terrorism. 324 00:17:50,720 --> 00:17:53,600 Speaker 1: They'll call it so chastick just so you know, he'll 325 00:17:53,600 --> 00:17:56,000 Speaker 1: see this popping up and people who want to appear 326 00:17:56,080 --> 00:17:58,000 Speaker 1: smarter than they are and the media will throw this 327 00:17:58,119 --> 00:18:02,680 Speaker 1: term around. So chastick comes from stochasticity, which is a 328 00:18:02,800 --> 00:18:09,479 Speaker 1: term from statistics, and it's effectively random probability distribution. So 329 00:18:09,520 --> 00:18:12,679 Speaker 1: if you look at at a Petri dish with bacteria 330 00:18:12,720 --> 00:18:14,920 Speaker 1: in it, where will they go first and how fast 331 00:18:14,920 --> 00:18:18,400 Speaker 1: will they grow? Mathematically you can't really tell. So you'll say, well, 332 00:18:18,400 --> 00:18:21,320 Speaker 1: there's a random probability distribution at work. Now I'm not 333 00:18:21,359 --> 00:18:24,560 Speaker 1: a stats guy, but that's a very lay person view 334 00:18:24,600 --> 00:18:29,720 Speaker 1: of what stochasticity is. But when they say stochastic terrorism, 335 00:18:29,840 --> 00:18:34,200 Speaker 1: what they're talking about is using a form of emotional 336 00:18:34,240 --> 00:18:38,680 Speaker 1: blackmail against people. They'll say, well, this event that happened, Okay, 337 00:18:38,720 --> 00:18:41,200 Speaker 1: the Nancy, let's take it away from the horrific event 338 00:18:41,240 --> 00:18:44,760 Speaker 1: of Colorado springs. Let's look at the Nancy Pelosi's husband 339 00:18:44,880 --> 00:18:48,800 Speaker 1: attack situation. People were saying that was, you know, whether 340 00:18:48,840 --> 00:18:53,119 Speaker 1: it was politicians, people in the media, that was stochastic terrorism, 341 00:18:53,680 --> 00:18:58,080 Speaker 1: because they say, well, what exactly was the inciting moment? 342 00:18:58,200 --> 00:19:03,359 Speaker 1: What connection is there to anybody on the mainstream right, 343 00:19:03,600 --> 00:19:07,160 Speaker 1: or why did this happen in this way at this time. Well, 344 00:19:07,200 --> 00:19:10,360 Speaker 1: there's no actual connection to anybody in the Republican Party 345 00:19:10,480 --> 00:19:13,720 Speaker 1: or anybody that you know incited this specific act. And 346 00:19:13,760 --> 00:19:17,359 Speaker 1: so they say, well, it's just an environment. It's just 347 00:19:17,440 --> 00:19:24,040 Speaker 1: a general sensibility out there that you are responsible for. 348 00:19:24,160 --> 00:19:26,200 Speaker 1: If you're a Republican, if you're a conservative, but that 349 00:19:26,320 --> 00:19:31,040 Speaker 1: this environment created this instance of schastic terrorism, it removes 350 00:19:31,160 --> 00:19:35,879 Speaker 1: any sense of causality. And it's just a means of saying, 351 00:19:35,960 --> 00:19:40,880 Speaker 1: clay your side, I'm going to hold your side responsible 352 00:19:41,119 --> 00:19:45,680 Speaker 1: for this, right, I'm going to hold your people responsible 353 00:19:45,760 --> 00:19:49,240 Speaker 1: for this, and we have to see this for what 354 00:19:49,280 --> 00:19:52,399 Speaker 1: it is. I mean, when there are incidents. Here's a 355 00:19:52,440 --> 00:19:57,119 Speaker 1: perfect example, when a Bernie Sanders supporter named James Hodgkinson 356 00:19:57,240 --> 00:20:01,160 Speaker 1: takes a rifle and tries to mur shoot Steve Scalis, 357 00:20:01,240 --> 00:20:04,680 Speaker 1: tries to murder Senator Rampaul, tries to kill as many 358 00:20:04,800 --> 00:20:10,160 Speaker 1: Conservative members of Congress as possible. The stochastic terrorism narrative 359 00:20:10,200 --> 00:20:15,400 Speaker 1: would be every Democrat, every Democrat is responsible for creating 360 00:20:15,440 --> 00:20:18,399 Speaker 1: that environment, encouraging that they should all be asked to 361 00:20:18,400 --> 00:20:20,879 Speaker 1: condemn it. If they don't condemn it enough, you have 362 00:20:20,960 --> 00:20:23,359 Speaker 1: to ask if they sympathize with it. That's what the 363 00:20:23,560 --> 00:20:27,600 Speaker 1: stochastic terrorism narrative is. Of course, that never applies to Democrats. 364 00:20:27,600 --> 00:20:31,520 Speaker 1: It only applies to any time it can be set 365 00:20:31,560 --> 00:20:35,000 Speaker 1: at the feet of the right in some way. And 366 00:20:35,040 --> 00:20:37,280 Speaker 1: this is yet again over the weekend. You see this 367 00:20:37,840 --> 00:20:43,040 Speaker 1: somehow you know every conservative is responsible, in the eyes 368 00:20:43,080 --> 00:20:46,960 Speaker 1: of the left, through stochastic terrorism, for this horrific mass 369 00:20:46,960 --> 00:20:53,240 Speaker 1: shooting that occurs in Colorado Springs. There's no basis in rationality, 370 00:20:53,359 --> 00:20:57,680 Speaker 1: reality and causality for this, but it's emotionally very effective 371 00:20:57,680 --> 00:21:04,320 Speaker 1: for people. Look, I think we need to all do regularly, 372 00:21:04,840 --> 00:21:07,080 Speaker 1: and this is what I would hope would happen in 373 00:21:07,080 --> 00:21:10,760 Speaker 1: twenty twenty four. Maybe it's too optimistic. We need like 374 00:21:10,840 --> 00:21:16,359 Speaker 1: a national probability and statistics expert, because I believe you 375 00:21:16,400 --> 00:21:17,960 Speaker 1: were one of the first people I saw and then 376 00:21:18,320 --> 00:21:20,119 Speaker 1: saying this buck and then I went and looked into it, 377 00:21:20,119 --> 00:21:24,040 Speaker 1: and I said, this is fascinating. If we eliminated every 378 00:21:24,200 --> 00:21:29,119 Speaker 1: mass shooting as it is defined in America today, ninety 379 00:21:29,200 --> 00:21:34,000 Speaker 1: nine percent of murders would still be occurring in this country. 380 00:21:34,040 --> 00:21:37,080 Speaker 1: So the question that I have for everyone out there, 381 00:21:37,640 --> 00:21:39,919 Speaker 1: and I think it's a really good one, And I 382 00:21:39,920 --> 00:21:42,639 Speaker 1: think this is an example of where the media is failing. 383 00:21:43,400 --> 00:21:46,520 Speaker 1: The media shows up every time there's a mass shooting 384 00:21:46,760 --> 00:21:51,040 Speaker 1: and covers it as if it is the overarching problem 385 00:21:51,080 --> 00:21:54,160 Speaker 1: that exists in America today. Everybody out there listening, which 386 00:21:54,200 --> 00:21:57,440 Speaker 1: is nobody got murdered, right, everybody is anti death when 387 00:21:57,520 --> 00:22:03,560 Speaker 1: it comes to people dying from violent means? All right, 388 00:22:04,920 --> 00:22:09,440 Speaker 1: what makes more sense to constantly show up when there's 389 00:22:09,440 --> 00:22:13,320 Speaker 1: a mass shooting and pretend that it's representative of violence 390 00:22:13,320 --> 00:22:18,919 Speaker 1: in America or every weekend in Chicago or Philadelphia, or 391 00:22:18,960 --> 00:22:25,359 Speaker 1: Atlanta or New York City sometimes certainly Houston, many different 392 00:22:25,400 --> 00:22:28,960 Speaker 1: big cities out there that have been seeing skyrocketing rates 393 00:22:28,960 --> 00:22:32,720 Speaker 1: of murder that almost entirely get ignored. What would be 394 00:22:32,720 --> 00:22:36,439 Speaker 1: a more accurate representation of covering violence in America and 395 00:22:36,560 --> 00:22:39,840 Speaker 1: the dangers to Americans? Would it be showing up at 396 00:22:39,880 --> 00:22:43,359 Speaker 1: a mass shooting site and arguing, oh, Republicans are responsible 397 00:22:43,400 --> 00:22:47,439 Speaker 1: for all of this, or recognizing that the reality is 398 00:22:48,200 --> 00:22:51,919 Speaker 1: mass shootings, mass murders are occurring in all of our 399 00:22:51,920 --> 00:22:55,000 Speaker 1: cities every day and the number one way to reduce murders. Remember, 400 00:22:55,040 --> 00:22:57,440 Speaker 1: if we did away with every mass shooting in America, 401 00:22:57,880 --> 00:23:00,520 Speaker 1: nine of them would still be occurring. This is my issue, 402 00:23:00,520 --> 00:23:03,800 Speaker 1: Buck with It's so frustrating to me the way that 403 00:23:03,960 --> 00:23:08,080 Speaker 1: police misconduct gets covered. As if we eliminated I wish 404 00:23:08,080 --> 00:23:11,119 Speaker 1: we could every single issue of police misconduct in America. 405 00:23:11,160 --> 00:23:13,160 Speaker 1: You know what would happened to the actual murder rate? 406 00:23:13,359 --> 00:23:16,720 Speaker 1: It would not even be noticeably different, right, because we 407 00:23:16,920 --> 00:23:23,000 Speaker 1: focused on these arbitrary and not representative outlier issues and 408 00:23:23,160 --> 00:23:25,840 Speaker 1: we miss the larger substance of it. Black Lives Matter 409 00:23:25,920 --> 00:23:28,000 Speaker 1: is a great example buck they all rush out in 410 00:23:28,080 --> 00:23:31,080 Speaker 1: the streets to protest. Really, Black Lives Matter needs the 411 00:23:31,160 --> 00:23:35,000 Speaker 1: parenthetical added to it. Black lives matter when white people 412 00:23:35,080 --> 00:23:38,080 Speaker 1: are involved in any way with a black life ending. 413 00:23:38,400 --> 00:23:40,640 Speaker 1: But when a black life is taken by another black life, 414 00:23:40,640 --> 00:23:43,240 Speaker 1: which is ninety four percent or ninety three percent of 415 00:23:43,280 --> 00:23:46,560 Speaker 1: all black murders, gets almost no attention or coverage at all. 416 00:23:47,000 --> 00:23:51,760 Speaker 1: It's a failure of reality, a failure of truth in 417 00:23:51,880 --> 00:23:54,320 Speaker 1: favor of narrative. And that's what we see every single 418 00:23:54,320 --> 00:23:57,960 Speaker 1: time with these shootings. And there's also something that is 419 00:23:58,520 --> 00:24:03,080 Speaker 1: really ugly, and I would even argue socially destabilizing about 420 00:24:03,119 --> 00:24:06,720 Speaker 1: the mainstreaming of a narrative, which is what is going 421 00:24:06,760 --> 00:24:10,399 Speaker 1: on on a regular basis. Now that if you don't, 422 00:24:10,480 --> 00:24:12,840 Speaker 1: for example, go Joe Biden, what does he talk about 423 00:24:12,920 --> 00:24:15,040 Speaker 1: right away? What is Joe Biden's first thing? As soon 424 00:24:15,080 --> 00:24:19,720 Speaker 1: as this attack happens, before we've even gotten into the 425 00:24:20,280 --> 00:24:24,880 Speaker 1: motives or or the investigation, Biden says, while no motive 426 00:24:24,920 --> 00:24:27,199 Speaker 1: in this attack is yet clear. We know that the 427 00:24:27,280 --> 00:24:30,320 Speaker 1: LGBTQ community has been subjected to horrific hate violence in 428 00:24:30,359 --> 00:24:34,119 Speaker 1: recent years, and also goes on to talk about a 429 00:24:35,000 --> 00:24:39,800 Speaker 1: banning assault rifles. Right, this is the conversation. But what 430 00:24:39,840 --> 00:24:42,760 Speaker 1: the left does, and what the Democrat Party does is 431 00:24:42,880 --> 00:24:48,200 Speaker 1: convince itself, convince its supporters that the people who don't 432 00:24:48,240 --> 00:24:51,760 Speaker 1: want to go along with the politicized prescription in the 433 00:24:51,800 --> 00:24:55,040 Speaker 1: aftermath of this, that wouldn't have stopped this, that wouldn't 434 00:24:55,640 --> 00:24:58,600 Speaker 1: they're actually part of the evil here too. There's a 435 00:24:58,640 --> 00:25:03,280 Speaker 1: demonization of half the country that occurs very regularly in 436 00:25:03,320 --> 00:25:06,879 Speaker 1: the aftermath of incidents like this, and it has to 437 00:25:07,200 --> 00:25:10,920 Speaker 1: fit a very specific narrative. A group that the left 438 00:25:10,960 --> 00:25:13,439 Speaker 1: identifies as one of its protected groups and that is 439 00:25:13,480 --> 00:25:16,240 Speaker 1: generally targeted. So a group that is that is often 440 00:25:16,320 --> 00:25:20,800 Speaker 1: victimized and hate crimes or through oppression, whatever the framework 441 00:25:20,840 --> 00:25:23,399 Speaker 1: may be for it. And then it's do what we 442 00:25:23,520 --> 00:25:27,760 Speaker 1: say politically after this, or you're part of the problem. Right. 443 00:25:27,880 --> 00:25:32,399 Speaker 1: And this is deeply intellectually and I would also argue 444 00:25:33,000 --> 00:25:38,400 Speaker 1: morally disingenuous and wrong. And this is what ends up 445 00:25:38,480 --> 00:25:41,080 Speaker 1: This is what ends up happening Unfortunately, after every time 446 00:25:41,119 --> 00:25:47,639 Speaker 1: there's a an incident like this, Yeah, and we have 447 00:25:47,720 --> 00:25:50,480 Speaker 1: to keep calling it out, unfortunately because it keeps happening 448 00:25:50,720 --> 00:25:54,240 Speaker 1: so much. We're scheduled war schedule talk with Warren Bobert. 449 00:25:54,240 --> 00:25:56,080 Speaker 1: Congress Homan. We'll see if we get her on Nancy 450 00:25:56,080 --> 00:25:58,840 Speaker 1: Grace schedule. Join us in the third hour we come back. 451 00:25:59,440 --> 00:26:03,639 Speaker 1: Buck used to coach high school soccer. I put up 452 00:26:03,640 --> 00:26:05,960 Speaker 1: a poll about how many people care about the World Cup, 453 00:26:06,000 --> 00:26:10,600 Speaker 1: which actually starts in fifteen minutes. What is going to 454 00:26:10,640 --> 00:26:14,119 Speaker 1: happen over in Qatar, And there's actually a pretty incredible 455 00:26:14,119 --> 00:26:18,200 Speaker 1: thing that's already occurred, what Iranians were willing to do 456 00:26:18,600 --> 00:26:20,920 Speaker 1: to stand up to their country, the soccer players. We'll 457 00:26:20,920 --> 00:26:23,520 Speaker 1: talk about that in a moment, but first see this 458 00:26:23,560 --> 00:26:26,960 Speaker 1: study the other day. Fifty percent of testosterone level in 459 00:26:27,119 --> 00:26:29,760 Speaker 1: men has collapsed over the last fifty years. If you 460 00:26:29,800 --> 00:26:33,399 Speaker 1: wonder whether the Biden White House, the men there have 461 00:26:33,480 --> 00:26:37,040 Speaker 1: the lowest levels of testosterone of any leadership we've ever seen, 462 00:26:37,080 --> 00:26:39,960 Speaker 1: I think the answers yes. There is zeroed out that 463 00:26:40,040 --> 00:26:44,480 Speaker 1: the Biden White House is the least testosterone filled white 464 00:26:44,520 --> 00:26:47,800 Speaker 1: house for the men, for the men in the history 465 00:26:47,800 --> 00:26:50,760 Speaker 1: of our country, and that certainly has not led to 466 00:26:50,800 --> 00:26:53,880 Speaker 1: them doing a good job at all, which is why 467 00:26:54,119 --> 00:26:56,440 Speaker 1: I'd like to go ahead and send some testosterone to them. 468 00:26:56,600 --> 00:26:59,240 Speaker 1: I'd like for chalk to hook them up, give them 469 00:26:59,280 --> 00:27:02,560 Speaker 1: some energy, vitality, some vim, some vigor to be able 470 00:27:02,600 --> 00:27:04,439 Speaker 1: to get through their days. They can make a big difference. 471 00:27:05,359 --> 00:27:11,320 Speaker 1: He's Buck Sexton, He's Clay Travis. Together they're breathing sanity 472 00:27:11,440 --> 00:27:23,000 Speaker 1: into an insane world. We are joined now by Congressman 473 00:27:23,200 --> 00:27:28,320 Speaker 1: Lauren Bobert from the great State of Colorado. Lauren, we 474 00:27:28,359 --> 00:27:30,440 Speaker 1: appreciate you making time for us. I want to start 475 00:27:30,480 --> 00:27:34,600 Speaker 1: with this question. MSNBC thought that you were going to 476 00:27:34,760 --> 00:27:38,760 Speaker 1: lose your reelection bid. You have one, you are going 477 00:27:38,840 --> 00:27:42,920 Speaker 1: to be part of the House majority, and when they 478 00:27:42,920 --> 00:27:46,199 Speaker 1: were bragging about you losing, they said that you should 479 00:27:46,240 --> 00:27:51,040 Speaker 1: start an only fans account. I'm curious what you thought 480 00:27:51,080 --> 00:27:54,840 Speaker 1: about that. One. Two. Have you looked into whether you 481 00:27:54,840 --> 00:27:57,560 Speaker 1: could start an only fans account and like just post 482 00:27:57,600 --> 00:28:01,000 Speaker 1: holding like briefing books and stuff like that, because I 483 00:28:01,000 --> 00:28:04,160 Speaker 1: think you could probably raise millions of dollars that you 484 00:28:04,200 --> 00:28:08,640 Speaker 1: could donate to charity, and also you'd be ridiculing MSNBC 485 00:28:08,800 --> 00:28:10,840 Speaker 1: in the process. But I'm just curious what you thought 486 00:28:10,840 --> 00:28:16,480 Speaker 1: about that entire storyline. Well, UM, my biggest strategy right 487 00:28:16,480 --> 00:28:18,920 Speaker 1: now with only fans is keeping my mother off of it. 488 00:28:19,800 --> 00:28:24,840 Speaker 1: So that's step one. And second, you know, it'd be 489 00:28:24,880 --> 00:28:26,959 Speaker 1: great to throw that back in their face and uh, 490 00:28:27,000 --> 00:28:30,960 Speaker 1: you know, raise something uh for um like say, say, 491 00:28:31,080 --> 00:28:36,320 Speaker 1: um uh one of these groups um international um human 492 00:28:36,359 --> 00:28:40,880 Speaker 1: trafficking uh groups that actually help women stop human trafficking. 493 00:28:40,920 --> 00:28:43,120 Speaker 1: You know, uh, something like that would be fantastic. But 494 00:28:43,240 --> 00:28:47,280 Speaker 1: isn't it hilarious that liberals aren't even good at feminism. 495 00:28:47,680 --> 00:28:50,240 Speaker 1: This is something that they have created and they stuck 496 00:28:50,320 --> 00:28:53,760 Speaker 1: at it. So, um, this is just the irony of 497 00:28:53,800 --> 00:28:57,440 Speaker 1: the left. Um. They are constantly attacking women who do 498 00:28:57,520 --> 00:29:01,760 Speaker 1: not agree with them. And luckily for me, my values 499 00:29:01,800 --> 00:29:03,959 Speaker 1: do not come from them. I'm not defined by what 500 00:29:04,000 --> 00:29:07,280 Speaker 1: they say. So I'm going to keep on moving forward 501 00:29:07,320 --> 00:29:09,360 Speaker 1: and I'm going to do so in the House majority. 502 00:29:10,080 --> 00:29:13,280 Speaker 1: Hey Lauren, it's buck. Thanks so much. Congresswoman Bobert. I 503 00:29:13,320 --> 00:29:15,840 Speaker 1: should say thank you so much for being with us. 504 00:29:16,400 --> 00:29:20,120 Speaker 1: And I wonder what made the race. Uh now, it's 505 00:29:20,160 --> 00:29:22,120 Speaker 1: it's great that it's worth pointing out by the way 506 00:29:22,160 --> 00:29:25,480 Speaker 1: that you as more votes were counted after election day 507 00:29:25,560 --> 00:29:29,440 Speaker 1: were one of those rare Republicans who won more votes 508 00:29:29,520 --> 00:29:31,840 Speaker 1: and therefore won the election. So it is not because 509 00:29:31,840 --> 00:29:34,960 Speaker 1: people keep telling me, well, every time there's there's additional counting, 510 00:29:34,960 --> 00:29:38,040 Speaker 1: we lose. Usually that is the case. But in your case, 511 00:29:38,080 --> 00:29:41,560 Speaker 1: it obviously was not how it ended up. Why was 512 00:29:41,600 --> 00:29:44,920 Speaker 1: it close in your district? And just for we have 513 00:29:44,920 --> 00:29:48,200 Speaker 1: a lot of people listening in Colorado, we're on Freedom 514 00:29:48,320 --> 00:29:53,400 Speaker 1: ninety three FM UM in Denver so ninety three seven. 515 00:29:53,680 --> 00:29:57,000 Speaker 1: So what exactly was it about your state and your 516 00:29:57,080 --> 00:30:01,080 Speaker 1: district that made it, you know, such a close one. Well, 517 00:30:01,080 --> 00:30:03,000 Speaker 1: what made it close is there were no third party 518 00:30:03,120 --> 00:30:07,040 Speaker 1: candidates to still vote from the Democrat. And my first 519 00:30:07,080 --> 00:30:09,080 Speaker 1: election of a twenty twenty general election, I was up 520 00:30:09,120 --> 00:30:13,160 Speaker 1: against the Democrat running defining herself as an independent to 521 00:30:13,280 --> 00:30:16,680 Speaker 1: try to deceive voters. But there are several third party 522 00:30:16,720 --> 00:30:18,840 Speaker 1: candidates in that race as well that took thousands of 523 00:30:18,920 --> 00:30:21,800 Speaker 1: votes away from the Democrat, and so that race was 524 00:30:21,840 --> 00:30:24,640 Speaker 1: able to be called right away because it was mathematically 525 00:30:24,680 --> 00:30:27,000 Speaker 1: impossible even if you used common corep for her to 526 00:30:27,920 --> 00:30:30,840 Speaker 1: come out victorious. And in this election, I was head 527 00:30:30,880 --> 00:30:34,600 Speaker 1: to head with my Democrat opponent with no third party candidates. 528 00:30:34,640 --> 00:30:37,120 Speaker 1: I won my twenty twenty election with fifty one percent 529 00:30:37,120 --> 00:30:40,160 Speaker 1: of the vote, and now I have won this twenty 530 00:30:40,200 --> 00:30:42,840 Speaker 1: twenty two election with fifty one percent of the vote. 531 00:30:43,600 --> 00:30:46,560 Speaker 1: Our district is very mixed. We have a heavy amount 532 00:30:46,560 --> 00:30:51,160 Speaker 1: of unaffiliated voters, and unfortunately for me, all of the 533 00:30:51,240 --> 00:30:55,200 Speaker 1: local media outlets here in the district allowed my Democrat 534 00:30:55,280 --> 00:30:58,840 Speaker 1: opponent to define himself, and just as my twenty twenty 535 00:30:58,880 --> 00:31:01,880 Speaker 1: opponent to find herself as an independent, he was able 536 00:31:01,920 --> 00:31:05,440 Speaker 1: to define himself as a conservative. They were calling him 537 00:31:05,480 --> 00:31:09,360 Speaker 1: a conservative businessman, a conservative Democrat when they would rarely 538 00:31:09,440 --> 00:31:12,960 Speaker 1: use the word Democrat, and he was running on Republican policies, 539 00:31:13,160 --> 00:31:16,080 Speaker 1: as many Democrats were throughout our nation. These are the 540 00:31:16,120 --> 00:31:18,680 Speaker 1: crises that they've created, and somehow they're going to campaign 541 00:31:19,000 --> 00:31:21,160 Speaker 1: on closing the border and slowing down the flow of 542 00:31:21,200 --> 00:31:25,120 Speaker 1: fentinel and reducing crime and lowering inflation and interest rates 543 00:31:25,120 --> 00:31:27,840 Speaker 1: when they are the cause of the problem. So I'm 544 00:31:27,880 --> 00:31:30,040 Speaker 1: looking forward in the majority to actually working with these 545 00:31:30,040 --> 00:31:33,800 Speaker 1: Democrats who campaigned on these issues and bring them to 546 00:31:33,840 --> 00:31:36,800 Speaker 1: the table and say you broke it, you campaign to 547 00:31:36,840 --> 00:31:39,320 Speaker 1: fix it, Now let's actually do it. Because this is 548 00:31:39,360 --> 00:31:44,480 Speaker 1: what we want to do. But these local media outlets 549 00:31:44,520 --> 00:31:49,480 Speaker 1: here in the district, I mean, they would go they 550 00:31:49,520 --> 00:31:52,640 Speaker 1: would go to great length to cover for my opponents, 551 00:31:52,640 --> 00:31:57,440 Speaker 1: to not expose corruption in his history, to expose these 552 00:31:57,560 --> 00:32:01,560 Speaker 1: liberal stances he took as an Aspensity council member. And 553 00:32:02,440 --> 00:32:05,360 Speaker 1: then they would blast me any chance that they got, 554 00:32:05,720 --> 00:32:09,800 Speaker 1: and lie about me and try to make the voters 555 00:32:09,800 --> 00:32:11,960 Speaker 1: believe that I had not done anything for them in 556 00:32:12,000 --> 00:32:14,960 Speaker 1: the district, which is an absolute lie. So you have 557 00:32:15,240 --> 00:32:17,240 Speaker 1: all the media running cover for him. He's running on 558 00:32:17,280 --> 00:32:21,240 Speaker 1: Republican policies, saying that he is a conservative, and we 559 00:32:21,320 --> 00:32:24,680 Speaker 1: even had one of our biggest newspapers endorsed him. And 560 00:32:25,160 --> 00:32:28,360 Speaker 1: the reason they endorsed him, they said, was because they 561 00:32:28,440 --> 00:32:34,200 Speaker 1: didn't know him. No, that's just lazy congresswoman. You're getting blamed, 562 00:32:34,280 --> 00:32:36,960 Speaker 1: as is often the case. I'm sure you saw AOC 563 00:32:37,240 --> 00:32:40,520 Speaker 1: come after you because of the shooting that happened in Colorado. 564 00:32:41,600 --> 00:32:44,360 Speaker 1: What do you think about AOC coming after you there 565 00:32:44,520 --> 00:32:47,440 Speaker 1: and accusing you of being to blame for the shooting? 566 00:32:48,600 --> 00:32:50,959 Speaker 1: You know, this is typical of the left. It's it's 567 00:32:51,080 --> 00:32:53,560 Speaker 1: very very disgusting. You see this with AOC, You see 568 00:32:53,560 --> 00:32:56,760 Speaker 1: this with Eric Swalwell. They never want to talk about 569 00:32:57,240 --> 00:33:01,600 Speaker 1: the rhetoric that they're they have that causes so much 570 00:33:01,640 --> 00:33:03,680 Speaker 1: problem in our nation, and even the policies and the 571 00:33:03,960 --> 00:33:06,440 Speaker 1: votes that they take to cause destruction. But they're quick 572 00:33:06,480 --> 00:33:10,680 Speaker 1: to point the finger and pass on the blame. There's 573 00:33:10,800 --> 00:33:13,800 Speaker 1: one person responsible for what happened in Colorado Springs, and 574 00:33:13,840 --> 00:33:17,120 Speaker 1: that's the disgusting, horrible, evil shooter that did these things. 575 00:33:17,640 --> 00:33:20,880 Speaker 1: Nobody is talking about the two heroes that stopped him, 576 00:33:20,880 --> 00:33:24,000 Speaker 1: that risked their lives to stop him. They're not talking 577 00:33:24,000 --> 00:33:26,400 Speaker 1: about enforcing laws that we already have on the books. 578 00:33:26,640 --> 00:33:30,360 Speaker 1: We have a red flag laws here in Colorado, and 579 00:33:30,520 --> 00:33:33,640 Speaker 1: the shooter had his own mother turned him in for 580 00:33:33,760 --> 00:33:36,440 Speaker 1: a bomb threat. Now this is someone that the red 581 00:33:36,480 --> 00:33:40,520 Speaker 1: flag laws should have prevented from possessing a firearm. But 582 00:33:40,600 --> 00:33:43,000 Speaker 1: those laws failed, just as we said that they would 583 00:33:43,520 --> 00:33:45,360 Speaker 1: enforce the laws that are already on the books. Start 584 00:33:45,360 --> 00:33:47,760 Speaker 1: trying to stop trying to create all of these new 585 00:33:47,840 --> 00:33:51,000 Speaker 1: laws to stop things and actually get crime under control. 586 00:33:51,240 --> 00:33:53,840 Speaker 1: We've reduced We've got gone away with the death penalty 587 00:33:53,880 --> 00:33:57,280 Speaker 1: here in Colorado. We've removed qualified immunity away from our 588 00:33:57,320 --> 00:34:01,560 Speaker 1: police officers that prohibits them from doing the job that 589 00:34:01,600 --> 00:34:08,200 Speaker 1: they swore to do. We have reduced so many different uh, 590 00:34:08,400 --> 00:34:12,160 Speaker 1: so many, so many different infractions. Um fentanyl. You used 591 00:34:12,160 --> 00:34:14,400 Speaker 1: to be a felony to have four grams of fintan al. 592 00:34:14,400 --> 00:34:17,320 Speaker 1: Now it's a misdemeanor. And so they're decriminalizing all of 593 00:34:17,320 --> 00:34:20,320 Speaker 1: this stuff and making making it easier and more incentivizing 594 00:34:20,320 --> 00:34:22,839 Speaker 1: for people to actually commit crimes. And I'll just end 595 00:34:22,840 --> 00:34:25,759 Speaker 1: that on this. Uh you know, I'm hearing all of 596 00:34:25,760 --> 00:34:29,160 Speaker 1: these folks say, you know, well, is this a hate crime? 597 00:34:29,840 --> 00:34:32,720 Speaker 1: Your daughter? And right, it's a hate crime. Anytime someone 598 00:34:32,840 --> 00:34:37,120 Speaker 1: opens fire on innocent people that is hateful. It doesn't 599 00:34:37,120 --> 00:34:41,040 Speaker 1: matter what group it is pointed towards or taken out on. 600 00:34:41,480 --> 00:34:44,040 Speaker 1: That is hateful. That is evil and it needs to 601 00:34:44,080 --> 00:34:48,839 Speaker 1: be punished. We're speaking a Congresswoman Lauren Bobert, who won 602 00:34:48,960 --> 00:34:52,800 Speaker 1: her race. Some days after election day it was finally 603 00:34:52,800 --> 00:34:54,759 Speaker 1: called in her favor. The media was saying that she 604 00:34:54,840 --> 00:34:56,759 Speaker 1: was basically out of it, but she managed to pull 605 00:34:56,760 --> 00:34:59,279 Speaker 1: it off, pull it off in Colorado, a rare win 606 00:34:59,520 --> 00:35:04,120 Speaker 1: for the for the GOP in Colorado in this cycle. Congresswoman, 607 00:35:04,160 --> 00:35:05,640 Speaker 1: now that you're going to be in the majority, just 608 00:35:05,680 --> 00:35:08,200 Speaker 1: wanted to know what do you think is most important 609 00:35:08,239 --> 00:35:10,960 Speaker 1: to focus on? What's going to be top of the 610 00:35:11,000 --> 00:35:13,680 Speaker 1: agenda as you work with many of our Republican friends 611 00:35:13,680 --> 00:35:15,919 Speaker 1: in Congress, you know, Jim Jordan and all the rest 612 00:35:15,960 --> 00:35:17,839 Speaker 1: of them. What are you going to be getting done. 613 00:35:19,040 --> 00:35:21,319 Speaker 1: There's a whole lot of things that we want to do, 614 00:35:21,760 --> 00:35:24,399 Speaker 1: certainly investigations or at the top. You mentioned Jim Jordan, 615 00:35:24,480 --> 00:35:26,640 Speaker 1: and I know that he's He and Jamie Cohmer are 616 00:35:26,680 --> 00:35:29,839 Speaker 1: going to bring folks in like Secretary my orchis there. 617 00:35:29,880 --> 00:35:34,280 Speaker 1: They're going to open investigations into the the Biden crime family, 618 00:35:34,600 --> 00:35:37,360 Speaker 1: and so much more. But we have to start getting 619 00:35:37,600 --> 00:35:40,320 Speaker 1: the reckless spending under control. We have to make people's 620 00:35:40,440 --> 00:35:44,479 Speaker 1: lives easier again and lower this inflation, lower the cost 621 00:35:44,640 --> 00:35:48,839 Speaker 1: of gas, lower the cost of groceries. It is so 622 00:35:48,920 --> 00:35:52,319 Speaker 1: difficult right now for families to just get by, and 623 00:35:52,440 --> 00:35:56,040 Speaker 1: it starts with reducing that reckless spending. In Washington, DC. 624 00:35:56,239 --> 00:35:57,759 Speaker 1: We now have the power of the pen, the power 625 00:35:57,760 --> 00:35:59,840 Speaker 1: of the purse, We have the gabble. We can do that. 626 00:36:00,520 --> 00:36:03,680 Speaker 1: And we have to get our domestic energy going again. 627 00:36:03,920 --> 00:36:08,000 Speaker 1: We get the exporting freedom all across the globe, and 628 00:36:08,960 --> 00:36:12,960 Speaker 1: instead we have lost our energy independence, Biden he drained 629 00:36:13,040 --> 00:36:16,520 Speaker 1: our strategic oil reserves and the name of a midterm election. 630 00:36:16,960 --> 00:36:20,440 Speaker 1: And then of course we have to secure the border. 631 00:36:20,480 --> 00:36:22,640 Speaker 1: We have to secure the border and stop the flow 632 00:36:22,640 --> 00:36:28,000 Speaker 1: of sentinel and ultimately reduce the crimes in our states, 633 00:36:28,000 --> 00:36:31,279 Speaker 1: in our communities, and all across our nation right now. 634 00:36:31,440 --> 00:36:33,759 Speaker 1: So these are just some of the top item. But 635 00:36:33,880 --> 00:36:36,560 Speaker 1: one thing that I think is really interesting is just 636 00:36:36,680 --> 00:36:40,239 Speaker 1: looking at leadership and having that conversation of what needs 637 00:36:40,239 --> 00:36:43,759 Speaker 1: to take place with leadership. One thing that I believe 638 00:36:43,840 --> 00:36:46,400 Speaker 1: needs to be done on day one is the Speaker 639 00:36:46,480 --> 00:36:49,440 Speaker 1: needs to declare that we have single subject legislation. That 640 00:36:49,600 --> 00:36:51,439 Speaker 1: is not something that you have to pass a law 641 00:36:51,520 --> 00:36:53,399 Speaker 1: to do. We don't have to pass that through the House, 642 00:36:53,400 --> 00:36:55,680 Speaker 1: through the Senate and wait for the President to sign 643 00:36:55,719 --> 00:36:58,520 Speaker 1: this and to law. The Speaker has control of the 644 00:36:58,560 --> 00:37:01,320 Speaker 1: House floor and what comes to the floor and can 645 00:37:01,480 --> 00:37:05,160 Speaker 1: enforce single subject legislation. So gone or the days of 646 00:37:05,280 --> 00:37:07,959 Speaker 1: three thousand page bills when a member of Congress only 647 00:37:08,000 --> 00:37:10,200 Speaker 1: have twenty two hours to read them, knowing that it's 648 00:37:10,239 --> 00:37:13,120 Speaker 1: going to spend a trillion dollars or more. And in 649 00:37:13,280 --> 00:37:16,680 Speaker 1: somewhere in the mix is this wonderful piece of legislation 650 00:37:17,040 --> 00:37:19,439 Speaker 1: for our veterans that you have to vote against because 651 00:37:19,440 --> 00:37:21,919 Speaker 1: you're not voting for something that you don't have time 652 00:37:21,960 --> 00:37:23,879 Speaker 1: to read. You don't want to pass it to find 653 00:37:23,880 --> 00:37:27,279 Speaker 1: out what's in it and further our nation's debt. So 654 00:37:27,320 --> 00:37:31,560 Speaker 1: we need single subject legislation on day one. Last question 655 00:37:31,600 --> 00:37:34,320 Speaker 1: for you, Congresswoman. We appreciate you making the time today. 656 00:37:34,800 --> 00:37:38,040 Speaker 1: I'm sure that you have seen that CBS News after 657 00:37:38,120 --> 00:37:41,839 Speaker 1: two years, has suddenly been able to authenticate the Hunter 658 00:37:41,920 --> 00:37:45,120 Speaker 1: Biden laptop, which, as we said, anyone with a functional 659 00:37:45,200 --> 00:37:48,160 Speaker 1: brain has known since they saw the New York Post 660 00:37:48,200 --> 00:37:51,600 Speaker 1: story two years ago. What do you think's going to 661 00:37:51,640 --> 00:37:54,800 Speaker 1: happen with that investigation of Hunter Biden and Joe Biden's 662 00:37:54,800 --> 00:37:57,920 Speaker 1: connections to it, And what do you think of CBS 663 00:37:58,040 --> 00:38:02,200 Speaker 1: suddenly deciding after two years to finally tell their viewers, oh, yeah, 664 00:38:02,200 --> 00:38:06,279 Speaker 1: this is real. You know, it's just really sad that 665 00:38:06,360 --> 00:38:08,040 Speaker 1: this is where our media is. You know, if you 666 00:38:08,120 --> 00:38:11,399 Speaker 1: if you were to bring up Hunter Biden's laptop just 667 00:38:12,120 --> 00:38:14,719 Speaker 1: two days ago or a year ago, well then that 668 00:38:14,840 --> 00:38:17,400 Speaker 1: was Russia disinformation and you were crazy and you were 669 00:38:17,400 --> 00:38:21,720 Speaker 1: a conspiracy serist. And this is where the mainstream media 670 00:38:21,800 --> 00:38:25,520 Speaker 1: has failed the citizens of this country. They continuously lie 671 00:38:25,560 --> 00:38:29,080 Speaker 1: to them, and they prop up all of this propaganda 672 00:38:29,640 --> 00:38:32,600 Speaker 1: rather than just allowing us to speak the truth and 673 00:38:32,640 --> 00:38:35,840 Speaker 1: look into things. I'm absolutely looking forward to the investigations. 674 00:38:36,360 --> 00:38:38,839 Speaker 1: I look forward to serving on the Oversight Committee where 675 00:38:38,840 --> 00:38:41,120 Speaker 1: we will be having these investigations, and I am going 676 00:38:41,160 --> 00:38:44,520 Speaker 1: to dig in deep. And if anyone else wants to 677 00:38:44,520 --> 00:38:47,640 Speaker 1: know more about where I stand, what I'm fighting for, 678 00:38:47,719 --> 00:38:50,400 Speaker 1: what we're doing, or to join my team Lauren for 679 00:38:50,520 --> 00:38:55,200 Speaker 1: Freedom dot com, we saw how close this race got 680 00:38:55,280 --> 00:38:57,239 Speaker 1: and I'm going to need all the help that I 681 00:38:57,280 --> 00:39:00,320 Speaker 1: can to stay strong in these next two years to 682 00:39:00,840 --> 00:39:05,640 Speaker 1: effectively represent not only my constituents here in Colorado's third District, 683 00:39:05,920 --> 00:39:09,640 Speaker 1: but really everyone across the nation who loves this country 684 00:39:09,680 --> 00:39:12,680 Speaker 1: as much as I do and wants to see the 685 00:39:15,000 --> 00:39:18,840 Speaker 1: Biden family exposed and held accountable for what we have 686 00:39:18,880 --> 00:39:20,719 Speaker 1: been lied to for all of these years and so 687 00:39:20,800 --> 00:39:25,480 Speaker 1: much more. Congresswoman Lauren Bobert, we appreciate the time, fantastic 688 00:39:25,520 --> 00:39:28,879 Speaker 1: as always, congratulations on the reelection, and good luck keeping 689 00:39:28,920 --> 00:39:33,319 Speaker 1: your mom off only fans. Thanks yes, pray for me. 690 00:39:35,239 --> 00:39:38,000 Speaker 1: Thank you as always, I want to tell you is 691 00:39:38,000 --> 00:39:40,640 Speaker 1: we go to break here all about my friends at 692 00:39:40,800 --> 00:39:44,600 Speaker 1: Legacy Box, simple safe way to digitize your treasured memories 693 00:39:44,600 --> 00:39:48,240 Speaker 1: you've recorded on videotapes and film rills. 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She is the host of Crime 718 00:41:25,960 --> 00:41:30,560 Speaker 1: Stories with Nancy Grace the podcast and Nancy, Buck and 719 00:41:30,560 --> 00:41:32,560 Speaker 1: I were talking and we said we need to get 720 00:41:32,640 --> 00:41:34,880 Speaker 1: Nancy on to talk about this case because both he 721 00:41:34,960 --> 00:41:38,600 Speaker 1: and I are really kind of obsessed with what may 722 00:41:38,640 --> 00:41:43,880 Speaker 1: have happened in Idaho surrounding this murder story that is 723 00:41:44,040 --> 00:41:48,239 Speaker 1: basically leading newscasts everywhere for people who do not know 724 00:41:48,400 --> 00:41:52,000 Speaker 1: for murders, they cannot figure out who is responsible, just 725 00:41:52,120 --> 00:41:55,040 Speaker 1: off the University of Idaho's campus. What can you tell 726 00:41:55,120 --> 00:41:57,120 Speaker 1: us about this story and for people out there who 727 00:41:57,200 --> 00:42:00,719 Speaker 1: may not be following it, what details in general do 728 00:42:00,760 --> 00:42:04,680 Speaker 1: we at least have confirmed at this point. Hello, thank 729 00:42:04,719 --> 00:42:07,520 Speaker 1: you for inviting me. Yes, we just covered this on 730 00:42:07,600 --> 00:42:12,520 Speaker 1: Crime Stories on Fox Nation about an hour ago. The 731 00:42:12,680 --> 00:42:17,320 Speaker 1: very latest, Well, let me play catch up. Four young 732 00:42:17,640 --> 00:42:22,040 Speaker 1: students to age twenty two age twenty one were slaughtered 733 00:42:22,160 --> 00:42:25,200 Speaker 1: in off campus housing. When I say off campus, it's 734 00:42:25,239 --> 00:42:29,160 Speaker 1: at the edge of campuses, right along fraternity row in 735 00:42:29,320 --> 00:42:34,240 Speaker 1: Idaho University of Idaho. Two were women, Three were women, 736 00:42:34,560 --> 00:42:37,279 Speaker 1: one with a boyfriend a man. They lived at a 737 00:42:37,360 --> 00:42:42,560 Speaker 1: home where five co eds lived there. The boyfriend just 738 00:42:42,640 --> 00:42:46,520 Speaker 1: happened to be over that night. Right now, police are stumped. 739 00:42:46,520 --> 00:42:51,600 Speaker 1: It looks as if all four were murdered in their sleep. 740 00:42:52,120 --> 00:42:55,719 Speaker 1: Now two may have woken up and began fighting back. 741 00:42:55,760 --> 00:42:57,879 Speaker 1: There are some defensive loans that by that I mean 742 00:42:58,280 --> 00:43:01,480 Speaker 1: cuts on the hands, the arm, the back of the 743 00:43:01,680 --> 00:43:04,279 Speaker 1: arm is possibly on the legs culling up in a 744 00:43:04,320 --> 00:43:08,240 Speaker 1: fetal position where you try to protect your throat, your face, 745 00:43:08,360 --> 00:43:15,160 Speaker 1: and your chest. No suspects. The parents of one or 746 00:43:15,200 --> 00:43:18,200 Speaker 1: two of the girls are complaining right now because they 747 00:43:18,239 --> 00:43:23,000 Speaker 1: believe police wasted time looking at one of the girls 748 00:43:23,000 --> 00:43:27,520 Speaker 1: as ex boyfriends. But I got news for everybody, right 749 00:43:27,640 --> 00:43:30,640 Speaker 1: or wrong. The first suspect, the first person's interest is 750 00:43:30,719 --> 00:43:35,640 Speaker 1: always the boyfriend slash lover or husband x romantic interest. 751 00:43:36,120 --> 00:43:39,800 Speaker 1: It always throw us there because statistically that's typically who 752 00:43:39,840 --> 00:43:43,920 Speaker 1: did it. Not in this case. In fact, police are 753 00:43:44,000 --> 00:43:48,360 Speaker 1: now considering that the killer of four people, remember he 754 00:43:48,360 --> 00:43:51,080 Speaker 1: could overpower four people at one of them, a man 755 00:43:52,400 --> 00:43:58,840 Speaker 1: could have been lying in wait in woods outside the home. Hey, Nancy, 756 00:43:59,360 --> 00:44:01,719 Speaker 1: you know I've been reading about this a lot, as 757 00:44:01,960 --> 00:44:05,760 Speaker 1: I know people across the country have. And two things 758 00:44:06,480 --> 00:44:09,840 Speaker 1: have stuck out to me so far about this case. 759 00:44:10,400 --> 00:44:14,160 Speaker 1: One that is that there's the description in the press 760 00:44:14,200 --> 00:44:18,000 Speaker 1: reports of a lot of evidence, but we don't really 761 00:44:18,040 --> 00:44:21,040 Speaker 1: seem to We don't never get any specificity. I'm wondering 762 00:44:21,120 --> 00:44:24,000 Speaker 1: if you could shine a little more light on what 763 00:44:24,040 --> 00:44:26,840 Speaker 1: they obviously we know as a grizzly crime scene, but 764 00:44:26,880 --> 00:44:29,680 Speaker 1: what kind of evidence they would be looking for here, 765 00:44:29,680 --> 00:44:31,560 Speaker 1: because they say they have a lot of it so far, 766 00:44:31,680 --> 00:44:35,399 Speaker 1: but no leads. And then also that there was I mean, 767 00:44:35,400 --> 00:44:39,520 Speaker 1: this is and this is horrific, you know, additional reporting 768 00:44:39,520 --> 00:44:42,880 Speaker 1: that there was a dog that was a pet that 769 00:44:43,000 --> 00:44:45,640 Speaker 1: was skinned alive nearby, and some think that there may 770 00:44:45,680 --> 00:44:48,840 Speaker 1: be a connection. Wondering what you see in these two things. 771 00:44:50,200 --> 00:44:54,520 Speaker 1: Two first question, there is, as one light person a 772 00:44:54,520 --> 00:44:58,799 Speaker 1: civilian said, tons of evidence. What we name by that 773 00:44:59,080 --> 00:45:02,240 Speaker 1: is there's a lot of blood evidence. These four people 774 00:45:02,239 --> 00:45:07,800 Speaker 1: were stabbed dead with a knife that clearly has a hilt. 775 00:45:08,400 --> 00:45:11,920 Speaker 1: It's a fixed handle. In other words, it's not a 776 00:45:11,960 --> 00:45:16,520 Speaker 1: pocket knife. It's knife. It's not a switchblade. It's immovable, 777 00:45:17,560 --> 00:45:20,560 Speaker 1: the type with a hilt. For those that don't camp 778 00:45:20,640 --> 00:45:23,720 Speaker 1: or have never been the military, a hilt is usually 779 00:45:23,760 --> 00:45:30,280 Speaker 1: that little perpendicular kind of like a handle on the knife. 780 00:45:30,520 --> 00:45:34,520 Speaker 1: We say that because the wounds apparently were so severe 781 00:45:35,680 --> 00:45:38,680 Speaker 1: that they believe it was a fixed knife. There's going 782 00:45:38,719 --> 00:45:42,040 Speaker 1: to be a lot of blood evidence. I have worked 783 00:45:42,480 --> 00:45:48,239 Speaker 1: several multi victim homicide things, and it takes weeks to 784 00:45:48,400 --> 00:45:53,799 Speaker 1: separate whose blood is whose. And a contact murder like this, 785 00:45:53,920 --> 00:45:58,160 Speaker 1: there's gonna be fiber evidence where the killer actually touched 786 00:45:58,360 --> 00:46:01,759 Speaker 1: the victim with their shirts or their chest or their arm. 787 00:46:02,200 --> 00:46:05,160 Speaker 1: There will be hair evidence. There will be blood evidence, 788 00:46:05,239 --> 00:46:08,680 Speaker 1: most likely because we have a multiple stabbing. Very often 789 00:46:09,040 --> 00:46:12,719 Speaker 1: the killer's hand slides down the knife and they end 790 00:46:12,800 --> 00:46:16,840 Speaker 1: up cutting themselves. There's gonna be fingerprints. Here's the problem 791 00:46:16,840 --> 00:46:19,480 Speaker 1: with all of that. That is a treasure trade of evans. 792 00:46:19,520 --> 00:46:22,240 Speaker 1: But you gotta have something to compare it too. Unless 793 00:46:22,239 --> 00:46:26,719 Speaker 1: the killer is in APHIS fingerprints or codis DNA data bank, 794 00:46:27,200 --> 00:46:29,680 Speaker 1: there's nothing to compare it too. They may have to 795 00:46:29,800 --> 00:46:33,440 Speaker 1: use ancestral DNA like Golden State killer, like I think 796 00:46:33,600 --> 00:46:36,799 Speaker 1: was used in Delphi, although they haven't said it. Where 797 00:46:36,840 --> 00:46:40,800 Speaker 1: you trace back back back to somebody's great great great 798 00:46:40,840 --> 00:46:43,760 Speaker 1: great grandparents, you built a family tree until you trickle 799 00:46:43,840 --> 00:46:48,680 Speaker 1: down to the killer. That's the quote. Tons of evidence, 800 00:46:48,760 --> 00:46:52,680 Speaker 1: that's their blood five or fingerprints DNA. But it's going 801 00:46:52,760 --> 00:46:55,280 Speaker 1: to take a time, a long time to sort this out. 802 00:46:56,719 --> 00:46:59,720 Speaker 1: Let me think your other question was regarding the dog. 803 00:47:00,000 --> 00:47:07,520 Speaker 1: At several days, more like three weeks before the murders, 804 00:47:07,880 --> 00:47:13,200 Speaker 1: a pet, a precious little Australian Shepherd mix many was 805 00:47:13,280 --> 00:47:18,880 Speaker 1: found skin head to tailtaber twenty one by his owners 806 00:47:19,200 --> 00:47:22,800 Speaker 1: was Jim Pan Colbert. They led him out into the 807 00:47:22,840 --> 00:47:27,759 Speaker 1: backyards Moscow, Idaho, a couple of miles down from this 808 00:47:27,880 --> 00:47:32,920 Speaker 1: murder scene, and he was murder skin and fileted. Yeah, 809 00:47:33,000 --> 00:47:37,000 Speaker 1: a pet dog. Much have been made of that because 810 00:47:37,080 --> 00:47:41,160 Speaker 1: the purpose actually waiting outside got the dog did this 811 00:47:42,160 --> 00:47:44,160 Speaker 1: as a couple of miles away from the murder scene. 812 00:47:44,239 --> 00:47:48,040 Speaker 1: I'm not ready to connect it. Nancy. When you see 813 00:47:48,080 --> 00:47:52,279 Speaker 1: a knife used in a violent multi murder like this, 814 00:47:53,120 --> 00:47:56,120 Speaker 1: what does that tell you in your experience from a 815 00:47:56,160 --> 00:48:01,359 Speaker 1: profiling perspective, also where these people were maybe sleeping when 816 00:48:01,360 --> 00:48:05,360 Speaker 1: the attack began. As you said, how does that differ 817 00:48:05,440 --> 00:48:09,440 Speaker 1: from someone using a gun? And obviously it's it's almost 818 00:48:09,520 --> 00:48:12,680 Speaker 1: unheard of to have a murder like this happening on 819 00:48:12,719 --> 00:48:15,480 Speaker 1: a college campus anywhere, and almost in Buck and Eye 820 00:48:15,520 --> 00:48:18,520 Speaker 1: were talking about it off air, it almost feels scream 821 00:48:18,600 --> 00:48:21,880 Speaker 1: like you know the movie where the killer is pretty 822 00:48:21,920 --> 00:48:25,520 Speaker 1: much always using that sort of curved knife. What sort 823 00:48:25,560 --> 00:48:28,120 Speaker 1: of profile when you see these details, what sort of 824 00:48:28,160 --> 00:48:31,799 Speaker 1: alarm bells does it set off to you? I've heard 825 00:48:31,840 --> 00:48:34,080 Speaker 1: a lot of analogies to the screen movies. I have 826 00:48:34,160 --> 00:48:37,640 Speaker 1: not made that because I find it in very hurtful 827 00:48:37,640 --> 00:48:39,800 Speaker 1: to the victims' families to compare it to a movie. 828 00:48:40,080 --> 00:48:43,520 Speaker 1: But I see, I see what you're saying, and you're 829 00:48:43,560 --> 00:48:45,960 Speaker 1: not the first that of course was a movie that 830 00:48:46,480 --> 00:48:50,120 Speaker 1: has from one of the true life inspiration. But as 831 00:48:50,160 --> 00:48:53,000 Speaker 1: what does it mean in the US, we don't have 832 00:48:53,120 --> 00:48:56,960 Speaker 1: as mean knifings as for instance, in Great Britain where 833 00:48:56,960 --> 00:49:01,840 Speaker 1: they don't really have guns here. If you analyze the 834 00:49:02,000 --> 00:49:07,160 Speaker 1: mind of a stabber, a knifer completely different from this 835 00:49:07,280 --> 00:49:11,000 Speaker 1: psychology as somebody that at a distance shoots and I 836 00:49:11,040 --> 00:49:15,280 Speaker 1: mean three four feet ten feet twenty feet with a knife, 837 00:49:16,000 --> 00:49:19,240 Speaker 1: it is up close and personal. The person the victim 838 00:49:19,400 --> 00:49:22,680 Speaker 1: is fighting back. It's like hand to hand mutual combat. 839 00:49:22,719 --> 00:49:25,520 Speaker 1: I mean, think about it going into a young lady's 840 00:49:25,600 --> 00:49:29,279 Speaker 1: room while she's asleep in bed. This happened between three 841 00:49:29,320 --> 00:49:31,279 Speaker 1: and four o'clock in the morning, and we're going to 842 00:49:31,360 --> 00:49:34,200 Speaker 1: find that out from the bodies, the degree of coagulation, 843 00:49:34,320 --> 00:49:38,240 Speaker 1: the rigor mortis, the liver mortis. But also there's extrinsic evidence, 844 00:49:38,280 --> 00:49:40,800 Speaker 1: such as one person's last phone call was two fifty 845 00:49:40,800 --> 00:49:45,320 Speaker 1: two am, so something is giving them that four am mark. 846 00:49:45,480 --> 00:49:49,640 Speaker 1: So they're saying three to four am. Maybe four am. 847 00:49:49,920 --> 00:49:53,560 Speaker 1: The neighbors heard something, maybe four am. Something else happened 848 00:49:53,719 --> 00:49:56,640 Speaker 1: to give them the three to four am timeline. Back 849 00:49:56,680 --> 00:50:01,160 Speaker 1: to the knifing aspect, imagine je in a young woman's 850 00:50:01,280 --> 00:50:06,680 Speaker 1: room in the middle of the night. She's asleep in bed, 851 00:50:06,800 --> 00:50:08,600 Speaker 1: or at least in bed because they all stayed out 852 00:50:08,640 --> 00:50:12,640 Speaker 1: late that night, came home. It starts standing her, what 853 00:50:12,840 --> 00:50:17,520 Speaker 1: kind of a freak is that willing to go up 854 00:50:17,680 --> 00:50:20,880 Speaker 1: close and personal to kill And keep in mind, no 855 00:50:21,040 --> 00:50:26,480 Speaker 1: sex attack, no robbery, so what's the motive. That is 856 00:50:26,480 --> 00:50:29,480 Speaker 1: why police keep saying this was targeted to at least 857 00:50:29,560 --> 00:50:33,000 Speaker 1: one of the victims. They keep saying targeted, but I 858 00:50:33,080 --> 00:50:35,480 Speaker 1: say not all four, but at least one of the 859 00:50:35,600 --> 00:50:39,960 Speaker 1: victims was the target. Doesn't mean there's a close connection. 860 00:50:40,120 --> 00:50:43,719 Speaker 1: It's not like your husband or your your boyfriend. It 861 00:50:43,800 --> 00:50:46,440 Speaker 1: could be somebody that has been watching them, somebody that 862 00:50:46,480 --> 00:50:49,640 Speaker 1: delivers their pizza, somebody that thought the grocery store that 863 00:50:49,920 --> 00:50:53,520 Speaker 1: has been watching this, person that knows them in that sense. 864 00:50:54,160 --> 00:51:00,720 Speaker 1: That is scary units leaving in droves. I've all believe 865 00:51:00,880 --> 00:51:04,239 Speaker 1: that's what. Sorry, I was going to ask you. Next 866 00:51:04,480 --> 00:51:07,520 Speaker 1: there is if you are a parent of a University 867 00:51:07,520 --> 00:51:09,600 Speaker 1: of Idaho student, a lot of these kids are home 868 00:51:09,719 --> 00:51:13,040 Speaker 1: right now for Thanksgiving, you would say, don't go back 869 00:51:13,040 --> 00:51:15,880 Speaker 1: to grab them by their ears and drag them all 870 00:51:15,920 --> 00:51:17,680 Speaker 1: the way home to Bacon, Georgia. They would be at 871 00:51:17,719 --> 00:51:21,879 Speaker 1: home and away from that campus. Nancy, we know you're 872 00:51:21,880 --> 00:51:25,640 Speaker 1: gonna be following the Story club. It is obviously it 873 00:51:25,719 --> 00:51:28,000 Speaker 1: has a gripped the nation. We want to find out 874 00:51:28,080 --> 00:51:30,440 Speaker 1: what happened here. There needs to be justice for these families. 875 00:51:30,680 --> 00:51:33,360 Speaker 1: Crime Stories with Nancy Grace, Everybody's the podcast. We know 876 00:51:33,520 --> 00:51:35,600 Speaker 1: she'll be covering it. Nancy, appreciate you being on the show, 877 00:51:35,640 --> 00:51:37,879 Speaker 1: and we hope you'll come back with update you and 878 00:51:38,200 --> 00:51:42,160 Speaker 1: I wish you well at Thanksgiving, and please keep these 879 00:51:42,200 --> 00:51:44,560 Speaker 1: families in mind as you gather around the table and 880 00:51:44,680 --> 00:51:48,160 Speaker 1: sell your prayer. We will thank you, Nancy, Amen for sure. 881 00:51:48,480 --> 00:51:50,759 Speaker 1: Uh back, we'll talk a little bit about this close 882 00:51:50,800 --> 00:51:53,600 Speaker 1: out the show. Um but but my goodness, it's awfully 883 00:51:54,080 --> 00:51:57,840 Speaker 1: awful tragedy for people in Idaho as they still continue 884 00:51:57,840 --> 00:51:59,960 Speaker 1: to grip and try to figure out what exactly happened there. 885 00:52:00,480 --> 00:52:03,440 Speaker 1: This week, you're getting access to a special Tuttle Twins 886 00:52:03,480 --> 00:52:06,839 Speaker 1: Black Friday deal. We've got books. We've been arguing and 887 00:52:06,840 --> 00:52:09,520 Speaker 1: telling you you need to be checking these out. You. 888 00:52:10,040 --> 00:52:12,799 Speaker 1: I'm telling you your kids can benefit from all these 889 00:52:12,840 --> 00:52:15,319 Speaker 1: books right now. The biggest deal they've ever done. 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