1 00:00:00,560 --> 00:00:03,760 Speaker 1: Welcome in Clay Travis buck Sexton Show. Appreciate all of 2 00:00:03,760 --> 00:00:06,440 Speaker 1: you hanging out with us as we roll in the 3 00:00:06,519 --> 00:00:10,360 Speaker 1: third hour of the program. We are joined now by 4 00:00:10,440 --> 00:00:16,200 Speaker 1: Congressman Lauren Bobert from the great state of Colorado. Lauren, 5 00:00:16,280 --> 00:00:18,200 Speaker 1: we appreciate you making time for us. I want to 6 00:00:18,200 --> 00:00:22,520 Speaker 1: start with this question. MSNBC thought that you were going 7 00:00:22,560 --> 00:00:26,720 Speaker 1: to lose your reelection bid. You have one, you were 8 00:00:26,720 --> 00:00:30,800 Speaker 1: going to be part of the House majority, and when 9 00:00:30,800 --> 00:00:33,839 Speaker 1: they were bragging about you losing, they said that you 10 00:00:33,880 --> 00:00:38,680 Speaker 1: should start an only fans account. I'm curious what you 11 00:00:38,840 --> 00:00:42,640 Speaker 1: thought about that one. Two. Have you looked into whether 12 00:00:42,720 --> 00:00:45,159 Speaker 1: you could start an only fans account and like just 13 00:00:45,240 --> 00:00:48,920 Speaker 1: post holding like briefing books and stuff like that, because 14 00:00:48,960 --> 00:00:51,920 Speaker 1: I think you could probably raise millions of dollars that 15 00:00:52,000 --> 00:00:55,800 Speaker 1: you could donate to charity and also you'd be ridiculing 16 00:00:56,040 --> 00:00:58,520 Speaker 1: MSNBC in the process. But I'm just curious what you 17 00:00:58,640 --> 00:01:03,800 Speaker 1: thought about that entire storyline. Well, um, my my biggest 18 00:01:03,800 --> 00:01:06,399 Speaker 1: strategy right now with only fans is keeping my mother 19 00:01:06,440 --> 00:01:12,360 Speaker 1: off of it. H So that's step one. And uh second, 20 00:01:12,440 --> 00:01:13,840 Speaker 1: you know it'd be great to throw that back in 21 00:01:13,880 --> 00:01:17,600 Speaker 1: their face, and uh you know, raise something uh for um, 22 00:01:18,120 --> 00:01:22,000 Speaker 1: like say, say, um, uh one of these groups um 23 00:01:22,080 --> 00:01:27,200 Speaker 1: international um human trafficking Uh, groups that that actually help 24 00:01:27,280 --> 00:01:30,280 Speaker 1: women stop human trafficking. You know, uh something like that 25 00:01:30,280 --> 00:01:34,119 Speaker 1: would be fantastic. But isn't it hilarious that liberals aren't 26 00:01:34,120 --> 00:01:36,880 Speaker 1: even good at feminism. This is something that they have 27 00:01:37,000 --> 00:01:40,520 Speaker 1: created and they suck at it. Uh. So um, this 28 00:01:40,600 --> 00:01:43,200 Speaker 1: is just the irony of the left. Um. They are 29 00:01:43,319 --> 00:01:47,119 Speaker 1: constantly attacking women who do not agree with them. And 30 00:01:47,520 --> 00:01:50,760 Speaker 1: luckily for me, um, my values do not come from them. 31 00:01:50,800 --> 00:01:53,240 Speaker 1: I'm not defined by what they say. So I'm going 32 00:01:53,280 --> 00:01:55,960 Speaker 1: to keep on moving forward and I'm going to do 33 00:01:56,040 --> 00:01:59,600 Speaker 1: so in the House majority. Hey, Lauren's thanks so much. 34 00:01:59,640 --> 00:02:03,080 Speaker 1: Congress Woman Boubert, I should say thank you so much 35 00:02:03,120 --> 00:02:06,960 Speaker 1: for being with us. And I wonder what made the race? 36 00:02:07,440 --> 00:02:09,799 Speaker 1: Uh now, it's it's great that it's worth pointing out 37 00:02:09,800 --> 00:02:12,600 Speaker 1: by the way that you, as more votes were counted 38 00:02:12,600 --> 00:02:15,600 Speaker 1: after election day, were one of those rare Republicans who 39 00:02:16,200 --> 00:02:19,320 Speaker 1: won more votes and therefore won the election. So it 40 00:02:19,400 --> 00:02:21,480 Speaker 1: is not because people keep telling me, well, every time 41 00:02:21,520 --> 00:02:25,360 Speaker 1: there's there's additional counting, we lose. Usually that is the case, 42 00:02:25,400 --> 00:02:28,040 Speaker 1: but in your case, it obviously was not how it 43 00:02:28,200 --> 00:02:32,000 Speaker 1: ended up. Why was it close in your district? And 44 00:02:32,040 --> 00:02:34,440 Speaker 1: just for we have a lot of people listening to Colorado. 45 00:02:34,520 --> 00:02:40,280 Speaker 1: We're on Freedom ninety three FM UM in Denver so 46 00:02:40,639 --> 00:02:44,280 Speaker 1: ninety three seven. So what exactly was it about your 47 00:02:44,360 --> 00:02:47,200 Speaker 1: state and your district that made it, you know, such 48 00:02:47,240 --> 00:02:50,120 Speaker 1: a close one. Well, what made it close is there 49 00:02:50,120 --> 00:02:53,600 Speaker 1: were no third party candidates to still vote from the Democrat. 50 00:02:54,320 --> 00:02:56,800 Speaker 1: And my first election of a twenty twenty general election, 51 00:02:56,840 --> 00:02:59,920 Speaker 1: I was up against the Democrat running um defining her 52 00:03:00,000 --> 00:03:03,200 Speaker 1: self as an independent to try to deceive voters. But 53 00:03:03,240 --> 00:03:05,800 Speaker 1: there are several third party candidates in that race as 54 00:03:05,800 --> 00:03:08,480 Speaker 1: well that took thousands of votes away from the Democrat, 55 00:03:08,800 --> 00:03:11,160 Speaker 1: and so that race was able to be called right 56 00:03:11,200 --> 00:03:13,880 Speaker 1: away because it was mathematically impossible even if he used 57 00:03:13,919 --> 00:03:17,760 Speaker 1: common cores for her to come out victorious. And in 58 00:03:17,760 --> 00:03:20,600 Speaker 1: this election I was head to head with my Democrat 59 00:03:20,639 --> 00:03:23,480 Speaker 1: opponent with no third party candidates. I won my twenty 60 00:03:23,480 --> 00:03:25,880 Speaker 1: twenty election with fifty one percent of the vote, and 61 00:03:25,960 --> 00:03:29,600 Speaker 1: now I have won twenty twenty two election with fifty 62 00:03:29,680 --> 00:03:33,560 Speaker 1: one percent of the vote. Our district is very mixed. 63 00:03:33,600 --> 00:03:37,160 Speaker 1: We have a heavy amount of unaffiliated voters, and unfortunately 64 00:03:37,200 --> 00:03:40,800 Speaker 1: for me, all of the local media outlets here in 65 00:03:40,840 --> 00:03:45,560 Speaker 1: the district allowed my Democrat opponent to define himself, and 66 00:03:45,640 --> 00:03:48,200 Speaker 1: just as my twenty twenty opponent to find herself as 67 00:03:48,200 --> 00:03:52,440 Speaker 1: an independent, he was able to define himself as a conservative. 68 00:03:52,680 --> 00:03:56,160 Speaker 1: They were calling him a conservative businessman, a conservative Democrat 69 00:03:56,560 --> 00:03:58,920 Speaker 1: when they would rarely use the word democrat, and he 70 00:03:58,960 --> 00:04:02,480 Speaker 1: was running on republic Plan policies as many Democrats were 71 00:04:02,600 --> 00:04:05,320 Speaker 1: throughout our nation. These are the crises that they've created, 72 00:04:05,360 --> 00:04:08,040 Speaker 1: and somehow they're going to campaign on closing the border 73 00:04:08,040 --> 00:04:10,880 Speaker 1: and slowing down the flow of sentinel and reducing crime 74 00:04:10,920 --> 00:04:13,920 Speaker 1: and lowering inflation and interest rates when they are the 75 00:04:14,000 --> 00:04:16,599 Speaker 1: cause of the problem. So I'm looking forward in the 76 00:04:16,640 --> 00:04:19,920 Speaker 1: majority to actually working with these Democrats who campaigned on 77 00:04:20,000 --> 00:04:22,600 Speaker 1: these issues and bring them to the table and say 78 00:04:23,000 --> 00:04:25,839 Speaker 1: you broke it, you campaign to fix it, Now, let's 79 00:04:25,880 --> 00:04:28,479 Speaker 1: actually do it, because this is what we want to do. 80 00:04:28,839 --> 00:04:35,280 Speaker 1: But these local media outlets here in the district, I mean, 81 00:04:35,279 --> 00:04:38,760 Speaker 1: they would go to they would go to great length 82 00:04:39,160 --> 00:04:42,799 Speaker 1: to cover for my opponent to not expose corruption in 83 00:04:42,839 --> 00:04:47,040 Speaker 1: his history, to not expose these liberal stances he took 84 00:04:47,080 --> 00:04:50,760 Speaker 1: as an Aspen City council member and uh, and then 85 00:04:51,240 --> 00:04:53,960 Speaker 1: they would blast me any chance that they got and 86 00:04:54,480 --> 00:04:58,119 Speaker 1: lie about me and try to make the voters believe 87 00:04:58,160 --> 00:05:00,480 Speaker 1: that I had not done anything for them the district, 88 00:05:00,520 --> 00:05:03,520 Speaker 1: which is an absolute lie. So you have all the 89 00:05:03,560 --> 00:05:06,440 Speaker 1: media running cover for him. He's running on Republican policies, 90 00:05:06,800 --> 00:05:09,560 Speaker 1: um saying that he is a conservative, and we even 91 00:05:09,600 --> 00:05:13,279 Speaker 1: had one of our biggest newspapers endorsed him. And the 92 00:05:13,400 --> 00:05:16,840 Speaker 1: reason they endorsed him, they said, was because they didn't 93 00:05:16,880 --> 00:05:22,240 Speaker 1: know him. No, that's just lazy congresswoman. You're getting blamed, 94 00:05:22,320 --> 00:05:24,960 Speaker 1: as is often the case. I'm sure you saw AOC 95 00:05:25,279 --> 00:05:28,560 Speaker 1: come after you because of the shooting that happened in Colorado. 96 00:05:29,600 --> 00:05:32,400 Speaker 1: What do you think about AOC coming after you there 97 00:05:32,560 --> 00:05:35,479 Speaker 1: and accusing you of being to blame for the shooting. 98 00:05:36,640 --> 00:05:39,000 Speaker 1: You know, this is typical of the left. It's it's 99 00:05:39,120 --> 00:05:41,599 Speaker 1: very very disgusting. You see this with AOC, you see 100 00:05:41,600 --> 00:05:44,760 Speaker 1: this with Eric Swalwell. They never want to talk about 101 00:05:45,279 --> 00:05:49,400 Speaker 1: the rhetoric that they're that they have that causes so 102 00:05:49,480 --> 00:05:51,600 Speaker 1: much problem in our nation, and even the policies and 103 00:05:51,640 --> 00:05:54,200 Speaker 1: the votes that they take to cause destruction. But they're 104 00:05:54,240 --> 00:05:58,080 Speaker 1: quick to point the finger and pass on the blame. Uh, 105 00:05:58,440 --> 00:06:01,520 Speaker 1: there's one person responsible for what happened in Colorado Springs, 106 00:06:01,680 --> 00:06:05,159 Speaker 1: and that's the disgusting, horrible, evil shooter that did these things. 107 00:06:05,680 --> 00:06:08,880 Speaker 1: Nobody is talking about the two heroes that stopped him, 108 00:06:08,920 --> 00:06:12,039 Speaker 1: that risked their lives to stop him. They're not talking 109 00:06:12,040 --> 00:06:14,360 Speaker 1: about enforcing laws that we already have on the book. 110 00:06:14,680 --> 00:06:18,400 Speaker 1: We have a red flag laws here in Colorado, and 111 00:06:18,560 --> 00:06:21,640 Speaker 1: the shooter had his own mother turned him in for 112 00:06:21,800 --> 00:06:24,479 Speaker 1: a bomb threat. Now this is someone that the red 113 00:06:24,520 --> 00:06:28,520 Speaker 1: flag laws should have prevented from possessing a firearm. But 114 00:06:28,640 --> 00:06:31,040 Speaker 1: those laws failed, just as we said that they would 115 00:06:31,520 --> 00:06:33,360 Speaker 1: enforced the laws that are already on the books. Start 116 00:06:33,400 --> 00:06:35,800 Speaker 1: trying to stop trying to create all of these new 117 00:06:35,880 --> 00:06:39,040 Speaker 1: laws to stop things and actually get crime under control. 118 00:06:39,279 --> 00:06:41,440 Speaker 1: We've reduced we We've got done away with the death 119 00:06:41,480 --> 00:06:45,080 Speaker 1: penalty here in Colorado. We've removed removed qualified immunity away 120 00:06:45,080 --> 00:06:49,120 Speaker 1: from our police officers that prohibits them from doing the 121 00:06:49,200 --> 00:06:52,360 Speaker 1: job that they swore to do. We have reduced um 122 00:06:52,880 --> 00:06:59,520 Speaker 1: so many different un so many different infractions. Um fintanol. 123 00:06:59,800 --> 00:07:01,960 Speaker 1: You used to be a felony to have four grams 124 00:07:01,960 --> 00:07:03,920 Speaker 1: of fitting all. Now it's a misdemeanor. And so they're 125 00:07:03,960 --> 00:07:07,080 Speaker 1: decriminalizing all of this stuff and making making it easier 126 00:07:07,160 --> 00:07:10,200 Speaker 1: and more incentivizing for people to actually commit crimes. And 127 00:07:10,280 --> 00:07:12,600 Speaker 1: I'll just end that on this. Uh. You know, I'm 128 00:07:12,640 --> 00:07:16,080 Speaker 1: hearing all of these folks say, you know, well, is 129 00:07:16,120 --> 00:07:19,559 Speaker 1: this a hate crime? You're darn right, it's a hate crime. 130 00:07:19,800 --> 00:07:24,760 Speaker 1: Anytime someone opens fire on innocent people, that is hateful. 131 00:07:24,800 --> 00:07:28,200 Speaker 1: It doesn't matter what group it is pointed towards or 132 00:07:28,320 --> 00:07:31,440 Speaker 1: taken out on. That is hateful. That is evil, and 133 00:07:31,480 --> 00:07:35,480 Speaker 1: it needs to be punished. We're speaking a Congresswoman Lauren Bobert, 134 00:07:35,520 --> 00:07:40,400 Speaker 1: who won her race some days after election day it 135 00:07:40,440 --> 00:07:42,600 Speaker 1: was finally called in her favor. The media was saying 136 00:07:42,600 --> 00:07:44,520 Speaker 1: that she was basically out of it, but she managed 137 00:07:44,520 --> 00:07:47,320 Speaker 1: to pull pull it off in Colorado, a rare win 138 00:07:47,560 --> 00:07:52,320 Speaker 1: for the GOP in Colorado in this cycle. Congresswoman, now 139 00:07:52,320 --> 00:07:53,920 Speaker 1: that you're going to be in the majority, just wanted 140 00:07:53,960 --> 00:07:56,360 Speaker 1: to know what do you think is most important to 141 00:07:56,400 --> 00:07:59,520 Speaker 1: focus on, what's going to be top of the agenda. 142 00:07:59,560 --> 00:08:02,280 Speaker 1: As you were with many of our Republican friends in Congress, 143 00:08:02,320 --> 00:08:04,280 Speaker 1: you know, Jim Jordan and all the rest of them. 144 00:08:04,680 --> 00:08:07,720 Speaker 1: What are you going to be getting done. There's a 145 00:08:07,760 --> 00:08:10,160 Speaker 1: whole lot of things that we want to do. Certainly, 146 00:08:10,200 --> 00:08:12,600 Speaker 1: investigations are at the top. You mentioned Jim Jordan, and 147 00:08:12,640 --> 00:08:14,880 Speaker 1: I know that he's He and Jamie Cohmer are going 148 00:08:14,920 --> 00:08:18,120 Speaker 1: to bring folks in like Secretary my orchists. They're they're 149 00:08:18,160 --> 00:08:22,280 Speaker 1: going to open investigations into the the Biden crime family, 150 00:08:22,640 --> 00:08:25,400 Speaker 1: and so much more. But we have to start getting 151 00:08:25,640 --> 00:08:28,360 Speaker 1: the reckless spending under control. We have to make people's 152 00:08:28,440 --> 00:08:32,520 Speaker 1: lives easier again and lower this inflation, lower the cost 153 00:08:32,679 --> 00:08:36,840 Speaker 1: of gas, lower the cost of groceries. It is so 154 00:08:36,960 --> 00:08:40,360 Speaker 1: difficult right now for families to just get by, and 155 00:08:40,480 --> 00:08:44,080 Speaker 1: it starts with reducing that reckless spending. In Washington, DC. 156 00:08:44,280 --> 00:08:45,800 Speaker 1: We now have the power of the pen, the power 157 00:08:45,800 --> 00:08:48,079 Speaker 1: of the purse, We have the gabble. We can do that. 158 00:08:48,559 --> 00:08:51,720 Speaker 1: And we have to get our domestic energy going again. 159 00:08:51,960 --> 00:08:56,040 Speaker 1: We get the exporting freedom all across the globe, and 160 00:08:57,000 --> 00:09:01,000 Speaker 1: instead we have lost our energy independence. Biden, he drained 161 00:09:01,080 --> 00:09:04,520 Speaker 1: our strategic oil reserves and the name of a midterm election. 162 00:09:05,000 --> 00:09:08,360 Speaker 1: And then of course we have to secure the border. 163 00:09:08,520 --> 00:09:10,680 Speaker 1: We have to secure the border and stop the flow 164 00:09:10,679 --> 00:09:16,000 Speaker 1: of sentinel and ultimately reduce the crimes in our states, 165 00:09:16,040 --> 00:09:19,320 Speaker 1: in our communities, and all across our nation right now. 166 00:09:19,480 --> 00:09:21,800 Speaker 1: So these are just some of the top item. But 167 00:09:21,920 --> 00:09:24,600 Speaker 1: one thing that I think is really interesting is just 168 00:09:24,720 --> 00:09:28,280 Speaker 1: looking at leadership and having that conversation of what needs 169 00:09:28,280 --> 00:09:31,800 Speaker 1: to take place with leadership. One thing that I believe 170 00:09:31,880 --> 00:09:34,439 Speaker 1: needs to be done on day one is the Speaker 171 00:09:34,520 --> 00:09:37,480 Speaker 1: needs to declare that we have single subject legislation that 172 00:09:37,640 --> 00:09:39,480 Speaker 1: is not something that you have to pass a law 173 00:09:39,520 --> 00:09:41,440 Speaker 1: to do. We don't have to pass that through the House, 174 00:09:41,440 --> 00:09:43,679 Speaker 1: through the Senate and wait for the President to sign 175 00:09:43,760 --> 00:09:46,560 Speaker 1: this and to law. The Speaker has control of the 176 00:09:46,600 --> 00:09:49,360 Speaker 1: House floor and what comes to the floor and can 177 00:09:49,520 --> 00:09:53,200 Speaker 1: enforce single subject legislation. So gone or the days of 178 00:09:53,320 --> 00:09:56,000 Speaker 1: three thousand page bills when a member of Congress only 179 00:09:56,040 --> 00:09:58,240 Speaker 1: have twenty two hours to read them, knowing that it's 180 00:09:58,280 --> 00:10:01,200 Speaker 1: going to spend a trillion dollars are more, and then 181 00:10:01,280 --> 00:10:04,720 Speaker 1: somewhere in the mix is this wonderful piece of legislation 182 00:10:05,080 --> 00:10:07,480 Speaker 1: for our veterans that you have to vote against because 183 00:10:07,480 --> 00:10:09,960 Speaker 1: you're not voting for something that you don't have time 184 00:10:10,000 --> 00:10:11,920 Speaker 1: to read, you don't want to pass it to find 185 00:10:11,920 --> 00:10:15,320 Speaker 1: out what's in it, and further, our nation's debt, so 186 00:10:15,360 --> 00:10:19,600 Speaker 1: we need single subject legislation on day one. Last question 187 00:10:19,640 --> 00:10:22,360 Speaker 1: for you, Congresswoman. We appreciate you making the time today. 188 00:10:22,840 --> 00:10:26,079 Speaker 1: I'm sure that you have seen that CBS News after 189 00:10:26,160 --> 00:10:29,920 Speaker 1: two years, has suddenly been able to authenticate the Hunter 190 00:10:29,920 --> 00:10:33,160 Speaker 1: Biden laptop, which, as we said, anyone with a functional 191 00:10:33,240 --> 00:10:36,199 Speaker 1: brain has known since they saw the New York Post 192 00:10:36,240 --> 00:10:39,640 Speaker 1: story two years ago. What do you think's going to 193 00:10:39,679 --> 00:10:42,840 Speaker 1: happen with that investigation of Hunter Biden and Joe Biden's 194 00:10:42,840 --> 00:10:45,960 Speaker 1: connections to it, And what do you think of CBS 195 00:10:46,040 --> 00:10:50,240 Speaker 1: suddenly deciding after two years to finally tell their viewers, Oh, yeah, 196 00:10:50,240 --> 00:10:54,320 Speaker 1: this is real. You know, It's just really sad that 197 00:10:54,400 --> 00:10:56,040 Speaker 1: this is where our media is. You know, if you 198 00:10:56,360 --> 00:11:00,600 Speaker 1: were to bring up Hunter Biden's laptop just two days 199 00:11:00,600 --> 00:11:03,440 Speaker 1: ago or a year ago, well then that was Russia 200 00:11:03,559 --> 00:11:06,640 Speaker 1: disinformation and you were crazy and you were a conspiracy theorist. 201 00:11:07,080 --> 00:11:10,560 Speaker 1: And this is where the mainstream media has failed the 202 00:11:10,600 --> 00:11:14,040 Speaker 1: citizens of this country. They continuously lie to them, and 203 00:11:14,080 --> 00:11:18,320 Speaker 1: they prop up all of this propaganda rather than just 204 00:11:18,480 --> 00:11:21,360 Speaker 1: allowing us to speak the truth and look into things. 205 00:11:21,559 --> 00:11:25,000 Speaker 1: I'm absolutely looking forward to the investigations. I look forward 206 00:11:25,040 --> 00:11:27,240 Speaker 1: to serving on the Oversight Committee where we will be 207 00:11:27,280 --> 00:11:30,439 Speaker 1: having these investigations and I Am going to dig in deep. 208 00:11:30,760 --> 00:11:33,840 Speaker 1: And if anyone else wants to know more about where 209 00:11:33,840 --> 00:11:36,520 Speaker 1: I stand, what I'm fighting for, what we're doing, or 210 00:11:36,559 --> 00:11:39,520 Speaker 1: want to join my team Lauren for Freedom dot Com. 211 00:11:40,120 --> 00:11:44,319 Speaker 1: We saw how close this race got and I'm going 212 00:11:44,360 --> 00:11:45,920 Speaker 1: to need all the help that I can to stay 213 00:11:45,960 --> 00:11:51,319 Speaker 1: strong in these next two years to effectively represent not 214 00:11:51,360 --> 00:11:54,520 Speaker 1: only my constituents here in Colorado's third District, but really 215 00:11:54,720 --> 00:11:58,080 Speaker 1: everyone across the nation who loves this country as much 216 00:11:58,080 --> 00:12:03,800 Speaker 1: as I do and wants to see the Biden family 217 00:12:04,160 --> 00:12:07,320 Speaker 1: exposed and held accountable for what we have been lied 218 00:12:07,360 --> 00:12:09,240 Speaker 1: to for all of these years and so much more. 219 00:12:10,600 --> 00:12:14,120 Speaker 1: Congresswoman Lauren Bobert, we appreciate the time, fantastic as always, 220 00:12:14,160 --> 00:12:17,200 Speaker 1: Congratulations on the reelection, and good luck keeping your mom 221 00:12:17,280 --> 00:12:25,040 Speaker 1: off only fans, Yes, pray for me. 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Don't believe any polls. 249 00:14:10,640 --> 00:14:13,559 Speaker 1: Don't believe the political pundits that are saying, oh, this 250 00:14:14,280 --> 00:14:18,960 Speaker 1: race doesn't matter anymore. It matters. It's not just about 251 00:14:19,080 --> 00:14:23,720 Speaker 1: this December. It's gonna be about November, two years from now, 252 00:14:24,760 --> 00:14:31,200 Speaker 1: in the future of our country. Governor Briant Kemp there 253 00:14:31,880 --> 00:14:35,800 Speaker 1: talking about this important runoff in his state of Georgia 254 00:14:35,840 --> 00:14:40,320 Speaker 1: between Herschel Walker and Raphael Warnock for that remaining Senate seat. 255 00:14:40,360 --> 00:14:42,600 Speaker 1: We know Democrats are going to have control for the 256 00:14:42,640 --> 00:14:46,680 Speaker 1: next two years in the Senate very narrowly. But this 257 00:14:46,840 --> 00:14:50,280 Speaker 1: Senate seat matters because even if we first of all, 258 00:14:50,840 --> 00:14:54,320 Speaker 1: there's the possibility that Democrats may, if they have fifty one, 259 00:14:55,080 --> 00:14:58,360 Speaker 1: be able to get through the end of the filibuster. 260 00:14:58,560 --> 00:15:01,360 Speaker 1: And will they do that? We don't, but could they 261 00:15:01,400 --> 00:15:05,160 Speaker 1: do that? Sure, and they're certainly more likely to if 262 00:15:05,200 --> 00:15:06,800 Speaker 1: they get to that point. I think we talked to 263 00:15:06,800 --> 00:15:09,240 Speaker 1: Senator Ron Johnson and Wis Constant about this last week. 264 00:15:09,640 --> 00:15:13,360 Speaker 1: Senator Ted Cruz of Texas also has said this many 265 00:15:13,360 --> 00:15:16,240 Speaker 1: times publicly that if they get to fifty one seats, 266 00:15:16,760 --> 00:15:19,320 Speaker 1: they may be emboldened to get rid of the filibuster. 267 00:15:19,880 --> 00:15:22,120 Speaker 1: And then there's Governor Brian Kemp here pointing out that 268 00:15:22,160 --> 00:15:25,400 Speaker 1: it's also about where we'll be in two years. Clay, Yeah, 269 00:15:25,400 --> 00:15:28,080 Speaker 1: the Democrats will have a more difficult Senate map to 270 00:15:28,240 --> 00:15:30,480 Speaker 1: defend than they did this time around. They're gonna have 271 00:15:30,480 --> 00:15:33,640 Speaker 1: to win some Senate races in some very red states. 272 00:15:33,640 --> 00:15:37,440 Speaker 1: It's gonna be very challenging for them, but it's still's 273 00:15:37,440 --> 00:15:39,840 Speaker 1: gonna you know, we're not looking likely to have a 274 00:15:39,960 --> 00:15:42,960 Speaker 1: sixty forty Senate Republican Democrat, right, I mean, it's still 275 00:15:42,960 --> 00:15:46,440 Speaker 1: gonna be in the in the fifty something forty something range, 276 00:15:46,760 --> 00:15:49,360 Speaker 1: and it could be fifty one forty nine as in 277 00:15:49,600 --> 00:15:55,160 Speaker 1: Herschel winning could mean Republican control in the next Senate. 278 00:15:55,280 --> 00:15:58,200 Speaker 1: So it is gonna be really important how this shakes 279 00:15:58,200 --> 00:16:01,120 Speaker 1: out in Georgia. It's massive, and this is big that 280 00:16:01,160 --> 00:16:04,520 Speaker 1: Brian Kemp, who won by eight points over Stacy Abrahams, 281 00:16:04,520 --> 00:16:07,320 Speaker 1: is putting the full force of his support behind Herschel 282 00:16:07,360 --> 00:16:12,560 Speaker 1: Walker and to your point, Buck too, and I'm already 283 00:16:12,560 --> 00:16:16,840 Speaker 1: looking ahead two years, but we should win in two 284 00:16:16,920 --> 00:16:19,800 Speaker 1: deep red states, as you just mentioned, we have open 285 00:16:19,880 --> 00:16:23,080 Speaker 1: Senate seats that are currently held or will be. There'll 286 00:16:23,120 --> 00:16:26,480 Speaker 1: be incumbents potentially running, although they may bail out. In 287 00:16:27,200 --> 00:16:32,400 Speaker 1: Montana and in West Virginia, I cannot believe that where 288 00:16:32,440 --> 00:16:35,440 Speaker 1: we are as a country right now, that either Montana 289 00:16:35,600 --> 00:16:39,560 Speaker 1: or West Virginia are going to elect Democrats. So that 290 00:16:39,640 --> 00:16:42,480 Speaker 1: could be a difference between if Herschel can win, we're 291 00:16:42,480 --> 00:16:44,960 Speaker 1: stuck at fifty fifty. Also, keep in mind Buck and 292 00:16:45,040 --> 00:16:46,400 Speaker 1: I hate to have to mention it, but we've talked 293 00:16:46,400 --> 00:16:49,280 Speaker 1: about it earlier with Biden and Trump. A lot of 294 00:16:49,320 --> 00:16:52,160 Speaker 1: these senators are in their seventies. There's a lot of 295 00:16:52,160 --> 00:16:55,400 Speaker 1: health related concerns that could emerge over the next couple 296 00:16:55,400 --> 00:16:59,880 Speaker 1: of years and represent a seismic change, and so having 297 00:17:00,080 --> 00:17:03,400 Speaker 1: as many senators in place, not to mention a six 298 00:17:03,480 --> 00:17:06,840 Speaker 1: year term. Do you want the Reverend Raphael Warnock representing 299 00:17:06,840 --> 00:17:08,960 Speaker 1: Georgia for the next six years or do you want 300 00:17:08,960 --> 00:17:11,879 Speaker 1: Herschel Walker. It's still a big race. I wish it 301 00:17:11,960 --> 00:17:14,200 Speaker 1: was a race for control of the Senate. It's not, 302 00:17:14,680 --> 00:17:18,120 Speaker 1: but it's still monstrously important for Georgians to show up, 303 00:17:18,240 --> 00:17:22,000 Speaker 1: and the Democrats are going to spend hundreds of millions 304 00:17:22,000 --> 00:17:24,320 Speaker 1: of dollars on this, I mean certainly north of one 305 00:17:24,400 --> 00:17:27,800 Speaker 1: hundred million, I mean maybe getting even beyond that, getting 306 00:17:27,840 --> 00:17:29,920 Speaker 1: into closer to two hundred million territory. They're going to 307 00:17:29,960 --> 00:17:33,800 Speaker 1: spend a ton of money because they know how important 308 00:17:33,920 --> 00:17:37,199 Speaker 1: it could well be. And so that's why for all 309 00:17:37,240 --> 00:17:39,560 Speaker 1: of our Georgia listeners, for anybody who can make a 310 00:17:39,600 --> 00:17:42,320 Speaker 1: difference there, it's a very good thing that Kemp is 311 00:17:42,400 --> 00:17:47,280 Speaker 1: involved after his eight points solid win against Stacey Abrams. 312 00:17:47,320 --> 00:17:49,199 Speaker 1: So we'll continue to focus in on this as this 313 00:17:49,280 --> 00:17:51,680 Speaker 1: runoff happens. We have not forgotten, not by a long shot, 314 00:17:52,320 --> 00:17:54,760 Speaker 1: my friends. If you own a business, getting a break 315 00:17:54,800 --> 00:17:59,040 Speaker 1: from the IRS is a most unusual win in your favor. 316 00:17:59,119 --> 00:18:01,840 Speaker 1: But it is possible. 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No risks, high rewards. 334 00:19:04,240 --> 00:19:07,440 Speaker 1: Welcome back in Clay Travis buck Sexton Show for Shade. 335 00:19:07,480 --> 00:19:10,760 Speaker 1: All of you spending your Thanksgiving week Monday hanging out 336 00:19:10,800 --> 00:19:13,400 Speaker 1: with us. Hope your travel, wherever you may be headed 337 00:19:13,400 --> 00:19:15,879 Speaker 1: across the country, around the world is going well. We 338 00:19:15,960 --> 00:19:20,439 Speaker 1: are joined now by Nancy Grace. She is the host 339 00:19:20,600 --> 00:19:25,439 Speaker 1: of Crime Stories with Nancy Grace, the podcast and Nancy 340 00:19:25,520 --> 00:19:27,639 Speaker 1: Buck and I were talking and we said we need 341 00:19:27,680 --> 00:19:29,800 Speaker 1: to get Nancy on to talk about this case because 342 00:19:29,840 --> 00:19:33,400 Speaker 1: both he and I are really kind of obsessed with 343 00:19:33,440 --> 00:19:38,760 Speaker 1: what may have happened in Idaho surrounding this murder story 344 00:19:38,800 --> 00:19:43,199 Speaker 1: that is basically leading newscasts everywhere. For people who do 345 00:19:43,240 --> 00:19:46,800 Speaker 1: not know for murders, they cannot figure out who is responsible, 346 00:19:47,160 --> 00:19:50,199 Speaker 1: just off the University of Idaho's campus. What can you 347 00:19:50,240 --> 00:19:52,320 Speaker 1: tell us about this story? And for people out there 348 00:19:52,359 --> 00:19:55,920 Speaker 1: who may not be following it, what details in general 349 00:19:55,960 --> 00:20:00,119 Speaker 1: do we at least have confirmed at this point. Thank 350 00:20:00,160 --> 00:20:02,879 Speaker 1: you for inviting me. Yes, we just covered this on 351 00:20:02,960 --> 00:20:07,880 Speaker 1: Crime Stories on Fox Nation about an hour ago, the 352 00:20:08,000 --> 00:20:12,639 Speaker 1: very latest. Well, let me play catch up. Four young 353 00:20:13,000 --> 00:20:17,360 Speaker 1: students to age twenty two age twenty one were slaughtered 354 00:20:17,480 --> 00:20:20,560 Speaker 1: in off campus housing. When I say off campus, it's 355 00:20:20,560 --> 00:20:24,520 Speaker 1: at the edge of campuses, right along fraternity row in 356 00:20:24,680 --> 00:20:29,560 Speaker 1: Idaho University of Idaho. Two were women, Three were women, 357 00:20:29,880 --> 00:20:32,679 Speaker 1: one with a boyfriend a man. They lived at a 358 00:20:32,680 --> 00:20:37,919 Speaker 1: home where five co eds lived there. The boyfriend just 359 00:20:38,000 --> 00:20:41,840 Speaker 1: happened to be over that night. Right now, police are stumped. 360 00:20:41,880 --> 00:20:46,959 Speaker 1: It looks as if all four were murdered in their sleep. 361 00:20:47,480 --> 00:20:51,040 Speaker 1: Now two may have woken up and began fighting back. 362 00:20:51,080 --> 00:20:53,200 Speaker 1: There are some defensive wands that by that I mean 363 00:20:53,600 --> 00:20:57,480 Speaker 1: cuts on the hands, the arms, the back of the arms, 364 00:20:57,520 --> 00:21:00,399 Speaker 1: possibly on the legs, culling up in a fetal position 365 00:21:00,440 --> 00:21:03,760 Speaker 1: where you try to protect your throat, your face, and 366 00:21:03,840 --> 00:21:10,800 Speaker 1: your chest. No suspects. The parents of one or two 367 00:21:10,840 --> 00:21:13,840 Speaker 1: of the girls are complaining right now because they believe 368 00:21:13,920 --> 00:21:18,639 Speaker 1: police wasted time looking at one of the girls as 369 00:21:18,640 --> 00:21:23,359 Speaker 1: ex boyfriends. But I got news for everybody, right or wrong. 370 00:21:23,440 --> 00:21:27,000 Speaker 1: The first suspect, the first person's interest is always the 371 00:21:27,080 --> 00:21:31,840 Speaker 1: boyfriends slash lover or husband x romantic interest. It always 372 00:21:31,880 --> 00:21:35,520 Speaker 1: throw us there because statistically that's typically who did it. 373 00:21:36,520 --> 00:21:40,600 Speaker 1: Not in this case. In fact, police are now considering 374 00:21:41,480 --> 00:21:44,520 Speaker 1: that the killer of four people, remember he could overpower 375 00:21:44,680 --> 00:21:48,159 Speaker 1: four people in one of them, a man could have 376 00:21:48,280 --> 00:21:54,200 Speaker 1: been lying in wait in woods outside the home. Hey, Nancy, 377 00:21:54,200 --> 00:21:56,920 Speaker 1: it's Buck. You know, I've been reading about this a lot, 378 00:21:56,960 --> 00:22:01,080 Speaker 1: as I know people across the country. Have Two things 379 00:22:01,840 --> 00:22:05,200 Speaker 1: have stuck out to me so far about this case. 380 00:22:05,720 --> 00:22:09,480 Speaker 1: One that is that there's the description in the press 381 00:22:09,520 --> 00:22:13,280 Speaker 1: reports of a lot of evidence, but we don't really 382 00:22:13,359 --> 00:22:16,399 Speaker 1: seem to We don't never get any specificity. I'm wondering 383 00:22:16,440 --> 00:22:19,320 Speaker 1: if you could shine a little more light on what 384 00:22:19,359 --> 00:22:22,159 Speaker 1: they obviously we know as a grizzly crime scene, but 385 00:22:22,200 --> 00:22:25,000 Speaker 1: what kind of evidence they would be looking for here 386 00:22:25,040 --> 00:22:26,680 Speaker 1: because they say they have a lot of it so 387 00:22:26,720 --> 00:22:30,320 Speaker 1: far but no leads. And then also that there was 388 00:22:30,480 --> 00:22:34,240 Speaker 1: I mean this and this is horrific, you know, additional 389 00:22:34,359 --> 00:22:37,479 Speaker 1: reporting that there was a dog that was a pet 390 00:22:38,080 --> 00:22:40,720 Speaker 1: that was skinned alive nearby, and some think that there 391 00:22:40,760 --> 00:22:43,640 Speaker 1: may be a connection. Wondering what you see in these 392 00:22:43,640 --> 00:22:49,280 Speaker 1: two things. Two first question, there is as one light 393 00:22:49,359 --> 00:22:53,720 Speaker 1: person a civilian said, tons of evidence. What we mean 394 00:22:53,800 --> 00:22:57,040 Speaker 1: by that is there's a lot of blood evidence. These 395 00:22:57,080 --> 00:23:02,240 Speaker 1: four people were stambed dead with a knife that clearly 396 00:23:02,440 --> 00:23:06,879 Speaker 1: has a hilt. It's a fixed handle. In other words, 397 00:23:06,880 --> 00:23:10,600 Speaker 1: it's not a pocket knife. It's knife. It's not a switchblade. 398 00:23:10,840 --> 00:23:15,080 Speaker 1: It's immovable, the type with a hilt. For those that 399 00:23:15,200 --> 00:23:18,280 Speaker 1: don't camp or have never been the military, a hilt 400 00:23:18,520 --> 00:23:23,880 Speaker 1: is usually that little perpendicular kind of like a handle 401 00:23:24,480 --> 00:23:28,480 Speaker 1: on the knife. We say that because the wounds apparently 402 00:23:28,760 --> 00:23:33,199 Speaker 1: were so severe that they believe it was a fixed knife. 403 00:23:33,600 --> 00:23:37,000 Speaker 1: There's going to be a lot of blood evidence. I've 404 00:23:37,080 --> 00:23:43,400 Speaker 1: worked several multi victim homicide things, and it takes weeks 405 00:23:43,480 --> 00:23:48,560 Speaker 1: to separate whose blood is whose, and a contact murder 406 00:23:48,720 --> 00:23:52,080 Speaker 1: like this, there's gonna be fiber evidence where the killer 407 00:23:52,440 --> 00:23:56,280 Speaker 1: actually touched the victim with their shirt or their chest 408 00:23:56,480 --> 00:23:59,440 Speaker 1: or their arm. There will be hair evidence. There will 409 00:23:59,480 --> 00:24:02,560 Speaker 1: be blood evidence, most likely because we have a multiple stabbing. 410 00:24:03,320 --> 00:24:07,720 Speaker 1: Very often the killer's hand slides down the knife and 411 00:24:07,760 --> 00:24:11,640 Speaker 1: they end up cutting themselves. There's gonna be fingerprints. Here's 412 00:24:11,680 --> 00:24:13,959 Speaker 1: the problem with all of that. That is a treasure 413 00:24:14,000 --> 00:24:16,200 Speaker 1: trade of evans. But you gotta have something to compare 414 00:24:16,200 --> 00:24:20,119 Speaker 1: it too. Unless the killer is in aphis fingerprints or 415 00:24:20,200 --> 00:24:23,840 Speaker 1: Codis DNA data bank, there's nothing to compare it too. 416 00:24:24,200 --> 00:24:27,879 Speaker 1: They may have to use ancestral DNA like Golden State Killer, 417 00:24:28,040 --> 00:24:31,159 Speaker 1: like I think was used in Delphi, although they haven't 418 00:24:31,160 --> 00:24:34,520 Speaker 1: said it. Where you trace back back back back to 419 00:24:34,640 --> 00:24:37,680 Speaker 1: somebody's great great great great grandparents, you built a family 420 00:24:37,720 --> 00:24:42,960 Speaker 1: tree until you trickle down to the killer. That's the quote. 421 00:24:43,000 --> 00:24:47,679 Speaker 1: Tons of evidence, that's their blood, fiber, fingerprints, DNA. But 422 00:24:47,760 --> 00:24:49,600 Speaker 1: it's going to take a ton a long time to 423 00:24:49,640 --> 00:24:53,760 Speaker 1: sort this out. Let me think your other question was 424 00:24:53,800 --> 00:25:01,000 Speaker 1: regarding the dog. Several days, more like three weeks before 425 00:25:01,640 --> 00:25:07,200 Speaker 1: the murders, a pet, a precious little Australian Shepherd mix 426 00:25:07,400 --> 00:25:13,200 Speaker 1: many was found skin head to tail Taber twenty one 427 00:25:13,359 --> 00:25:17,760 Speaker 1: by his owners was Jim Pam Colbert. They led him 428 00:25:17,760 --> 00:25:22,119 Speaker 1: out into the backyard. It's Moscow, Idaho, a couple of 429 00:25:22,160 --> 00:25:25,359 Speaker 1: miles down from this murder scene, and he was murder 430 00:25:25,440 --> 00:25:31,160 Speaker 1: skin and fileted. Yeah, a pet dog. Much have been 431 00:25:31,200 --> 00:25:35,480 Speaker 1: made of that because the purpose actually waiting outside got 432 00:25:35,520 --> 00:25:38,640 Speaker 1: the dog? Did this as a couple of miles away 433 00:25:38,680 --> 00:25:42,639 Speaker 1: from the murder scene. I'm not ready to connect it. Nancy. 434 00:25:42,720 --> 00:25:46,520 Speaker 1: When you see a knife used in a violent multi 435 00:25:46,680 --> 00:25:49,920 Speaker 1: murder like this, what does that tell you in your 436 00:25:50,000 --> 00:25:54,840 Speaker 1: experience from a profiling perspective? Also, where these people were 437 00:25:54,880 --> 00:25:59,840 Speaker 1: maybe sleeping when the attack began, As you said, how 438 00:25:59,880 --> 00:26:03,960 Speaker 1: does that differ from someone using a gun? And obviously 439 00:26:04,080 --> 00:26:07,239 Speaker 1: it's it's almost unheard of to have a murder like 440 00:26:07,320 --> 00:26:10,280 Speaker 1: this happening on a college campus anywhere. It almost in 441 00:26:10,320 --> 00:26:12,479 Speaker 1: Buck and Eye were talking about it off air. It 442 00:26:12,480 --> 00:26:16,000 Speaker 1: almost feels scream like you know the movie where the 443 00:26:16,480 --> 00:26:19,439 Speaker 1: killer is pretty much always using that sort of curved knife. 444 00:26:20,400 --> 00:26:23,159 Speaker 1: What sort of profile when you see these details, what 445 00:26:23,240 --> 00:26:25,320 Speaker 1: sort of alarm bells does it set off to you? 446 00:26:26,760 --> 00:26:29,080 Speaker 1: I've heard a lot of analogies to the screen movies. 447 00:26:29,200 --> 00:26:31,119 Speaker 1: I have not made that because I find it in 448 00:26:32,400 --> 00:26:34,679 Speaker 1: very hurtful to the victims' families to compare it to 449 00:26:34,680 --> 00:26:37,879 Speaker 1: a movie. But I see, I see what you're saying, 450 00:26:37,920 --> 00:26:40,800 Speaker 1: and you're not the first that, of course was a 451 00:26:40,880 --> 00:26:45,200 Speaker 1: movie that as somewhat of a true life inspiration. But 452 00:26:45,480 --> 00:26:48,359 Speaker 1: what does it mean in the US we don't have 453 00:26:48,480 --> 00:26:52,280 Speaker 1: as mean knifings as for instance, in Great Britain, whether 454 00:26:52,280 --> 00:26:57,159 Speaker 1: they don't really have guns here. If you analyze the 455 00:26:57,359 --> 00:27:02,480 Speaker 1: mind of a stabber a knife completely different from this 456 00:27:02,600 --> 00:27:06,159 Speaker 1: psychology of as somebody that at a distance shoots and 457 00:27:06,240 --> 00:27:09,960 Speaker 1: I mean three four feet ten feet twenty feet with 458 00:27:10,119 --> 00:27:14,000 Speaker 1: a knife. It is up close and personal the person 459 00:27:14,080 --> 00:27:16,720 Speaker 1: the victim is fighting back. It's like hand to hand 460 00:27:17,080 --> 00:27:20,040 Speaker 1: mutual combat. I mean, think about it going into a 461 00:27:20,119 --> 00:27:24,080 Speaker 1: young lady's room while she's asleep in bed. This happened 462 00:27:24,119 --> 00:27:26,440 Speaker 1: between three and four o'clock in the morning, and we're 463 00:27:26,440 --> 00:27:28,679 Speaker 1: going to find that out from the bodies, the degree 464 00:27:28,680 --> 00:27:33,200 Speaker 1: of coagulation rigor mortis, deliver mortis. But also there's extrinsic 465 00:27:33,240 --> 00:27:35,800 Speaker 1: evidence such as one person's last phone call was two 466 00:27:35,840 --> 00:27:39,680 Speaker 1: fifty two am, so something is giving them that four 467 00:27:39,800 --> 00:27:44,200 Speaker 1: am mark. So they're saying three to four am, maybe 468 00:27:44,359 --> 00:27:48,199 Speaker 1: four am the neighbors heard something, maybe four am. Something 469 00:27:48,240 --> 00:27:51,280 Speaker 1: else happened to give them the three to four am timeline. 470 00:27:51,760 --> 00:27:56,040 Speaker 1: Back to the knifing aspect, Imagine going in a young 471 00:27:56,119 --> 00:28:01,640 Speaker 1: woman's room in the middle of the night. She's asleep 472 00:28:01,680 --> 00:28:03,520 Speaker 1: in bed, or at least in bed because they all 473 00:28:03,520 --> 00:28:07,160 Speaker 1: stayed out late that night, came home and starts standing her. 474 00:28:07,880 --> 00:28:12,439 Speaker 1: What kind of a freak is that willing to go 475 00:28:12,680 --> 00:28:16,080 Speaker 1: up close and personal to kill? And keep in mind, 476 00:28:16,119 --> 00:28:21,680 Speaker 1: no sex attack, no robbery, So what's the motive? That 477 00:28:21,760 --> 00:28:24,480 Speaker 1: is why police keep saying this was targeted to at 478 00:28:24,520 --> 00:28:28,159 Speaker 1: least one of the victims. They keep saying targeted, but 479 00:28:28,280 --> 00:28:30,679 Speaker 1: I say not all four, but at least one of 480 00:28:30,720 --> 00:28:35,280 Speaker 1: the victims was the target. Doesn't mean there's a close connection. 481 00:28:35,440 --> 00:28:39,040 Speaker 1: It's not like your husband or your your boyfriend. It 482 00:28:39,160 --> 00:28:41,760 Speaker 1: could be somebody that has been watching them, somebody that 483 00:28:41,840 --> 00:28:44,960 Speaker 1: delivers their pizza, somebody that thought the grocery store, that 484 00:28:45,280 --> 00:28:48,280 Speaker 1: has been watching this, person that knows them in that 485 00:28:48,440 --> 00:28:54,920 Speaker 1: sense that is scary you that's leaving in droves. I've 486 00:28:55,040 --> 00:28:58,800 Speaker 1: always believed That's what I was going to ask you next, 487 00:28:58,840 --> 00:29:02,120 Speaker 1: scary partners. There is if you are a parent of 488 00:29:02,160 --> 00:29:04,520 Speaker 1: a University of Idaho student. A lot of these kids 489 00:29:04,520 --> 00:29:08,160 Speaker 1: are home right now Thanksgiving. You would say, don't go 490 00:29:08,200 --> 00:29:11,080 Speaker 1: back to grab them by their ears and drag them 491 00:29:11,080 --> 00:29:12,800 Speaker 1: all the way home to make a Georgia. They would 492 00:29:12,800 --> 00:29:16,960 Speaker 1: be at home and away from that campus. Nancy, we 493 00:29:16,960 --> 00:29:19,120 Speaker 1: know you're gonna be following the Story Club. It is 494 00:29:20,160 --> 00:29:22,760 Speaker 1: obviously it has a gripped the nation. We want to 495 00:29:22,760 --> 00:29:24,960 Speaker 1: find out what happened here. There needs to be justice 496 00:29:24,960 --> 00:29:28,400 Speaker 1: for these families. Crime Stories with Nancy Grace everybody's the podcast. 497 00:29:28,480 --> 00:29:30,600 Speaker 1: We know she'll be covering it. Nancy, appreciate you being 498 00:29:30,600 --> 00:29:32,240 Speaker 1: on the show, and we hope you'll come back with updates. 499 00:29:33,000 --> 00:29:37,320 Speaker 1: And I wish you well at Thanksgiving, and please keep 500 00:29:37,360 --> 00:29:39,840 Speaker 1: these families in mind as you gather around the table 501 00:29:39,840 --> 00:29:43,000 Speaker 1: and say your prayer. We will thank you, Nancy. Amen 502 00:29:43,080 --> 00:29:45,880 Speaker 1: for sure back. We'll talk a little bit about this 503 00:29:45,880 --> 00:29:50,000 Speaker 1: close out the show. But my goodness, it's awfully awful 504 00:29:50,080 --> 00:29:53,240 Speaker 1: tragedy for people in Idaho as they still continue to 505 00:29:53,280 --> 00:29:55,320 Speaker 1: grip and try to figure out what exactly happened there. 506 00:29:55,920 --> 00:29:58,840 Speaker 1: This week, you're getting access to a special Tuttle Twins 507 00:29:58,880 --> 00:30:02,239 Speaker 1: Black Friday deal. 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Subscribe 525 00:31:05,040 --> 00:31:08,120 Speaker 1: to CNB twenty four to seven hand never miss a 526 00:31:08,160 --> 00:31:10,880 Speaker 1: minute of Clay and Bucks while getting behind the scene 527 00:31:10,920 --> 00:31:22,240 Speaker 1: access to special content for members only. Welcome Back, to 528 00:31:22,240 --> 00:31:24,000 Speaker 1: Clay Travis and Buck Sex and show. We're gonna be 529 00:31:24,000 --> 00:31:26,840 Speaker 1: closing up for today if you missed any part of 530 00:31:26,840 --> 00:31:30,080 Speaker 1: the show including I mean just now, you know we 531 00:31:30,400 --> 00:31:35,160 Speaker 1: talked to Nancy Grace about this this um this multiple 532 00:31:35,240 --> 00:31:41,320 Speaker 1: murder in Idaho, Moscow, Idaho and this this is now 533 00:31:41,640 --> 00:31:45,040 Speaker 1: if you were looking just through the news today, it 534 00:31:45,120 --> 00:31:47,400 Speaker 1: was a top story on the Fox News website, a 535 00:31:47,440 --> 00:31:50,160 Speaker 1: top store of the Daily Mail. Uh, it's just getting 536 00:31:50,200 --> 00:31:53,240 Speaker 1: a lot of interest because it it hit home. It 537 00:31:53,280 --> 00:31:55,080 Speaker 1: hits home for people in a lot in a lot 538 00:31:55,080 --> 00:31:57,480 Speaker 1: of ways. Firstly, it's a four young people, they're in college, 539 00:31:57,480 --> 00:32:00,440 Speaker 1: and it's such a such a horrific story dabbed in 540 00:32:00,440 --> 00:32:03,880 Speaker 1: their sleep. This happened in a town of twenty five 541 00:32:04,040 --> 00:32:07,880 Speaker 1: thousand people where a lot of people are sleeping with 542 00:32:08,320 --> 00:32:12,200 Speaker 1: unlocked doors. And why wouldn't they because nothing ever happens 543 00:32:12,240 --> 00:32:14,080 Speaker 1: in that town, right, You have a lot of towns 544 00:32:14,120 --> 00:32:16,760 Speaker 1: and then something like this happens. You know, Clay to 545 00:32:16,840 --> 00:32:19,280 Speaker 1: what she was what she was talking about here with 546 00:32:19,280 --> 00:32:25,480 Speaker 1: with everything that happened, the killer doing this with a 547 00:32:25,600 --> 00:32:28,080 Speaker 1: knife at that all it would take is one person. 548 00:32:28,160 --> 00:32:30,520 Speaker 1: There were other people who weren't stabbed. I believe who 549 00:32:30,520 --> 00:32:33,880 Speaker 1: were in the house as well. I think there was 550 00:32:33,880 --> 00:32:36,520 Speaker 1: somebody else who was who was there who was not so. 551 00:32:36,680 --> 00:32:41,000 Speaker 1: But but regardless, you would have had four different murder 552 00:32:41,160 --> 00:32:44,160 Speaker 1: scenes going on here, or at least places of specific 553 00:32:44,200 --> 00:32:48,200 Speaker 1: murder where one scream from one of the individuals would 554 00:32:48,240 --> 00:32:50,520 Speaker 1: have woken up the whole house. And so this is 555 00:32:50,560 --> 00:32:55,120 Speaker 1: a this this premeditated murder four people with the knife 556 00:32:55,120 --> 00:32:58,600 Speaker 1: in this way, this person has got to be a 557 00:32:59,280 --> 00:33:03,840 Speaker 1: I mean obvious a psychopath at some level because it 558 00:33:03,840 --> 00:33:05,840 Speaker 1: would have been so easy to be discovered in the 559 00:33:05,880 --> 00:33:08,000 Speaker 1: midst of this, I mean, to do these This isn't 560 00:33:08,000 --> 00:33:10,040 Speaker 1: a silence pistols, what I'm saying. I mean, this is 561 00:33:10,080 --> 00:33:13,040 Speaker 1: something that very easily could have awoken the whole house. 562 00:33:13,040 --> 00:33:15,400 Speaker 1: All it takes is one person's screen. That's why I 563 00:33:15,440 --> 00:33:18,920 Speaker 1: asked her about the knife in particular, because it's such 564 00:33:19,920 --> 00:33:25,120 Speaker 1: an even more violent activity than using a gun and 565 00:33:25,880 --> 00:33:28,000 Speaker 1: the other thing. And we'll get Nancy Grace on again 566 00:33:28,120 --> 00:33:30,479 Speaker 1: potentially as more of these details come out. But the 567 00:33:30,520 --> 00:33:33,080 Speaker 1: other thing about this story, Buck that stands out is 568 00:33:34,520 --> 00:33:39,840 Speaker 1: what most people, based on my limited knowledge of criminal profiling, 569 00:33:40,200 --> 00:33:42,520 Speaker 1: you don't go from hey, I've been one hundred percent 570 00:33:42,560 --> 00:33:46,560 Speaker 1: a law abiding person to stabbing four people to death 571 00:33:46,960 --> 00:33:50,120 Speaker 1: without there being some interregnum, some behavior. So is this 572 00:33:50,400 --> 00:33:54,320 Speaker 1: a vagrant traveling around like Moscow? Idaho doesn't have even 573 00:33:54,360 --> 00:33:59,040 Speaker 1: Idaho itself doesn't have a lot of murders, psychopaths, torturing 574 00:33:59,120 --> 00:34:03,640 Speaker 1: or harming animals. Stepping stone with that dog, yes, as 575 00:34:03,640 --> 00:34:07,080 Speaker 1: a stepping stone to horrific grewsome crimes against human beings. 576 00:34:07,120 --> 00:34:10,360 Speaker 1: This is well established. This is why when you find 577 00:34:10,440 --> 00:34:14,439 Speaker 1: some unthinkable, heinous crime committed by somebody, and when they're 578 00:34:14,440 --> 00:34:16,840 Speaker 1: an adult and you look back, oh, when they were sixteen, 579 00:34:16,960 --> 00:34:19,120 Speaker 1: you know they did the following to you know, a 580 00:34:19,120 --> 00:34:23,239 Speaker 1: neighborhood cat or this. That's very common. And so now 581 00:34:23,320 --> 00:34:26,359 Speaker 1: Nook Nancy Grace, and this is her domain. She knows 582 00:34:26,400 --> 00:34:28,760 Speaker 1: these cases and how they play out backwards and forwards. 583 00:34:29,200 --> 00:34:31,120 Speaker 1: She's saying she's not willing to connect them because the 584 00:34:31,120 --> 00:34:35,200 Speaker 1: facts don't connect them yet. Right, I'm just saying I 585 00:34:35,320 --> 00:34:38,600 Speaker 1: would be surprised if in a town of twenty five 586 00:34:38,640 --> 00:34:42,480 Speaker 1: thousand people someone does something like that to it not 587 00:34:42,640 --> 00:34:45,880 Speaker 1: just a random animal, but someone's pet. Obviously it's an 588 00:34:45,880 --> 00:34:48,000 Speaker 1: Australian shepherd. Right, It's not even like they did this 589 00:34:48,040 --> 00:34:50,880 Speaker 1: to a you know, a raccoon or something that they captured, 590 00:34:51,160 --> 00:34:53,920 Speaker 1: to do that to someone's dog, I would just be 591 00:34:54,000 --> 00:34:56,680 Speaker 1: shocked if there wasn't basically, if the same person wasn't 592 00:34:56,920 --> 00:34:59,080 Speaker 1: involved in these things. And now you're dealing with a 593 00:35:00,000 --> 00:35:03,200 Speaker 1: a terrifying psychopath. I mean, somebody for whom empathy does 594 00:35:03,239 --> 00:35:06,000 Speaker 1: not exist and who has some form of blood lust. 595 00:35:06,480 --> 00:35:09,680 Speaker 1: And this is why this is as a story that man, 596 00:35:09,719 --> 00:35:11,239 Speaker 1: it's got a lot of people on edge, a lot 597 00:35:11,239 --> 00:35:13,200 Speaker 1: of people in this in a town I mean, I 598 00:35:14,040 --> 00:35:16,240 Speaker 1: haven't checked. I would assume they haven't had a murderer 599 00:35:16,280 --> 00:35:20,439 Speaker 1: in Moscow, Idaho in years, certainly not in this way, right. 600 00:35:20,480 --> 00:35:23,440 Speaker 1: I mean, if they have, it's probably a domestic dispute 601 00:35:23,560 --> 00:35:25,920 Speaker 1: or like a fight between two guys, like you know 602 00:35:25,960 --> 00:35:29,080 Speaker 1: who the killer was. And that's why I asked the question. 603 00:35:29,160 --> 00:35:30,200 Speaker 1: I mean, I know, we got a lot of people 604 00:35:30,239 --> 00:35:32,600 Speaker 1: who will listen. In Idaho. If you had a son 605 00:35:32,680 --> 00:35:37,000 Speaker 1: or daughter that was right now at the University of Idaho, 606 00:35:37,560 --> 00:35:41,520 Speaker 1: there's no way I would allow them to be enrolled 607 00:35:41,640 --> 00:35:45,640 Speaker 1: right now living in an off campus dorm or even 608 00:35:45,680 --> 00:35:49,600 Speaker 1: maybe even campus dorm like this is pretty scary stuff 609 00:35:49,920 --> 00:35:52,480 Speaker 1: given what's usually, you know, the usual crimes you would 610 00:35:52,480 --> 00:35:55,880 Speaker 1: see around a college campus compared to this is massively different. 611 00:35:55,960 --> 00:35:58,319 Speaker 1: So we'll continue to follow this one because this is 612 00:35:58,320 --> 00:36:00,359 Speaker 1: the kind of story where you know, it could all 613 00:36:00,360 --> 00:36:02,760 Speaker 1: of a sudden could get broken wide open. We'll obviously 614 00:36:03,320 --> 00:36:05,680 Speaker 1: invite Nancy Grace back to talk about it then, because 615 00:36:05,680 --> 00:36:08,640 Speaker 1: this is something that she knows very very well backwards 616 00:36:08,640 --> 00:36:14,120 Speaker 1: and forwards, how these how these crime investigations play out. Um, Look, 617 00:36:14,480 --> 00:36:16,280 Speaker 1: we appreciate all of you dealing with us today. Obviously 618 00:36:16,320 --> 00:36:18,279 Speaker 1: covered a lot of ground here, everything from Twitter, to 619 00:36:19,480 --> 00:36:24,720 Speaker 1: the situation of the Democrat and Republican parties, the charges 620 00:36:24,760 --> 00:36:29,280 Speaker 1: against Trump, and the charges official charge regarding the Independent Council. 621 00:36:29,760 --> 00:36:32,720 Speaker 1: It's in regarding the holiday season, we'll try to focus 622 00:36:32,760 --> 00:36:37,279 Speaker 1: a little bit on some certainly some positive stories as yeah, 623 00:36:37,320 --> 00:36:41,000 Speaker 1: some positive stories as we get closer to Thanksgiving and uh, 624 00:36:41,080 --> 00:36:43,560 Speaker 1: and we just appreciate so much all of you, all 625 00:36:43,560 --> 00:36:45,400 Speaker 1: of you being with us. We are thankful for all 626 00:36:45,440 --> 00:36:47,799 Speaker 1: of you, honestly and truly who listened to us every day. 627 00:36:48,000 --> 00:36:49,480 Speaker 1: And you know, Klaus say this even when I was 628 00:36:49,520 --> 00:36:52,759 Speaker 1: at Marlago on Friday, it is it is humbling. I mean, 629 00:36:52,760 --> 00:36:54,359 Speaker 1: I'm always touched by it. I know you are when 630 00:36:54,400 --> 00:36:56,000 Speaker 1: you're out there and you're seeing folks. The number of 631 00:36:56,000 --> 00:36:57,840 Speaker 1: people just came up and he said they loved the show. 632 00:36:58,360 --> 00:37:01,200 Speaker 1: It's really really meaningful, really appreciate it, and so we're 633 00:37:01,239 --> 00:37:02,680 Speaker 1: going to continue to put out our best for you 634 00:37:02,680 --> 00:37:05,319 Speaker 1: guys every day. We're thankful for you. We hope you're 635 00:37:05,360 --> 00:37:07,399 Speaker 1: thankful for us. Have a great week. We'll be back 636 00:37:07,440 --> 00:37:13,520 Speaker 1: with you tomorrow. Play Travis and Buck Sexton on the 637 00:37:13,560 --> 00:37:15,240 Speaker 1: front lines of Truth.